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11 new changesets in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/c959d32f2405/
changeset: c959d32f2405
user: jdu...(a)Bruno-Proto6.illumina.com
date: 2011-05-25 00:15:03
summary: Added new "multi" parallelism option for tools
affected #: 8 files (-1 bytes)
--- a/lib/galaxy/datatypes/data.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/datatypes/data.py Tue May 24 15:15:03 2011 -0700
@@ -1,4 +1,4 @@
-import logging, os, sys, time, tempfile
+import logging, os, sys, time, tempfile, gzip
from galaxy import util
from galaxy.util.odict import odict
from galaxy.util.bunch import Bunch
@@ -351,6 +351,32 @@
@property
def has_resolution(self):
return False
+
+
+
+ def merge( split_files, output_file):
+ """
+ Export files are usually compressed, but it doesn't have to be so. In the case that they are, use
+ zcat to cat the files and gzip -c to recompress the result, otherwise use cat
+ TODO: Move to a faster gzjoin-based technique
+ """
+ #TODO: every time I try to import this from sniff, the parser dies
+ def is_gzip( filename ):
+ temp = open( filename, "U" )
+ magic_check = temp.read( 2 )
+ temp.close()
+ if magic_check != util.gzip_magic:
+ return False
+ return True
+
+ if len(split_files) == 1:
+ os.system( 'mv -f %s %s' % ( split_files[0], output_file ) )
+ return
+ if is_gzip(split_files[0]):
+ os.system( 'zcat %s | gzip -c > %s' % ( ' '.join(split_files), output_file ) )
+ else:
+ os.system( 'cat %s > %s' % ( ' '.join(split_files), output_file ) )
+ merge = staticmethod(merge)
class Text( Data ):
file_ext = 'txt'
@@ -446,6 +472,80 @@
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
+ def split( input_files, subdir_generator_function, split_params):
+ """
+ Split the input files by line.
+ """
+ if split_params is None:
+ return
+
+ if len(input_files) > 1:
+ raise Exception("Text file splitting does not support multiple files")
+
+ lines_per_file = None
+ chunk_size = None
+ if split_params['split_mode'] == 'number_of_parts':
+ lines_per_file = []
+ # Computing the length is expensive!
+ def _file_len(fname):
+ i = 0
+ f = open(fname)
+ for i, l in enumerate(f):
+ pass
+ f.close()
+ return i + 1
+ length = _file_len(input_files[0])
+ parts = int(split_params['split_size'])
+ if length < parts:
+ parts = length
+ len_each, remainder = divmod(length, parts)
+ while length > 0:
+ chunk = len_each
+ if remainder > 0:
+ chunk += 1
+ lines_per_file.append(chunk)
+ remainder=- 1
+ length -= chunk
+ elif split_params['split_mode'] == 'to_size':
+ chunk_size = int(split_params['split_size'])
+ else:
+ raise Exception('Unsupported split mode %s' % split_params['split_mode'])
+
+ f = open(input_files[0], 'rt')
+ try:
+ chunk_idx = 0
+ file_done = False
+ part_file = None
+ while not file_done:
+ if lines_per_file is None:
+ this_chunk_size = chunk_size
+ elif chunk_idx < len(lines_per_file):
+ this_chunk_size = lines_per_file[chunk_idx]
+ chunk_idx += 1
+ lines_remaining = this_chunk_size
+ part_file = None
+ while lines_remaining > 0:
+ a_line = f.readline()
+ if a_line == '':
+ file_done = True
+ break
+ if part_file is None:
+ part_dir = subdir_generator_function()
+ part_path = os.path.join(part_dir, os.path.basename(input_files[0]))
+ part_file = open(part_path, 'w')
+ part_file.write(a_line)
+ lines_remaining -= 1
+ if part_file is not None:
+ part_file.close()
+ except Exception, e:
+ log.error('Unable to split files: %s' % str(e))
+ f.close()
+ if part_file is not None:
+ part_file.close()
+ raise
+ f.close()
+ split = staticmethod(split)
+
class Newick( Text ):
pass
--- a/lib/galaxy/datatypes/sequence.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/datatypes/sequence.py Tue May 24 15:15:03 2011 -0700
@@ -49,6 +49,95 @@
else:
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
+
+ def split( input_files, subdir_generator_function, split_params):
+ """
+ FASTQ files are split on cluster boundaries, in increments of 4 lines
+ """
+ if split_params is None:
+ return
+
+ def split_one( input_file, get_dir, clusters_per_file, default_clusters=None):
+ in_file = open(input_file, 'rt')
+ part_file = None
+ part = 0
+ if clusters_per_file is None:
+ local_clusters_per_file = [default_clusters]
+ else:
+ local_clusters_per_file = [x for x in clusters_per_file]
+
+ for i, line in enumerate(in_file):
+ cluster_number, line_in_cluster = divmod(i, 4)
+ current_part, remainder = divmod(cluster_number, local_clusters_per_file[part])
+
+ if (current_part != part or part_file is None):
+ if (part_file):
+ part_file.close()
+ part = current_part
+ part_dir = get_dir()
+ part_path = os.path.join(part_dir, os.path.basename(input_file))
+ part_file = open(part_path, 'w')
+ if clusters_per_file is None:
+ local_clusters_per_file.append(default_clusters)
+ part_file.write(line)
+ if (part_file):
+ part_file.close()
+ in_file.close()
+ local_clusters_per_file[part] = remainder + 1
+ return local_clusters_per_file
+
+ directories = []
+ def create_subdir():
+ dir = subdir_generator_function()
+ directories.append(dir)
+ return dir
+
+ clusters_per_file = None
+ if split_params['split_mode'] == 'number_of_parts':
+ # legacy splitting. To keep things simple, just scan the 0th file and count the clusters,
+ # then split it
+ clusters_per_file = []
+ in_file = open(input_files[0], 'rt')
+ for i, line in enumerate(in_file):
+ pass
+ in_file.close()
+ length = (i+1)/4
+
+ if length <= 0:
+ raise Exception('Invalid sequence file %s' % input_files[0])
+ parts = int(split_params['split_size'])
+ if length < parts:
+ parts = length
+ len_each, remainder = divmod(length, parts)
+ while length > 0:
+ chunk = len_each
+ if remainder > 0:
+ chunk += 1
+ clusters_per_file.append(chunk)
+ remainder=- 1
+ length -= chunk
+ split_one(input_files[0], create_subdir, clusters_per_file)
+ elif split_params['split_mode'] == 'to_size':
+ # split one file and see what the cluster sizes turn out to be
+ clusters_per_file = split_one(input_files[0], create_subdir, None, int(split_params['split_size']))
+ else:
+ raise Exception('Unsupported split mode %s' % split_params['split_mode'])
+
+ # split the rest, using the same number of clusters for each file
+ current_dir_idx = [0] # use a list to get around Python 2.x lame closure support
+ def get_subdir():
+ if len(directories) <= current_dir_idx[0]:
+ raise Exception('FASTQ files do not have the same number of clusters - splitting failed')
+ result = directories[current_dir_idx[0]]
+ current_dir_idx[0] = current_dir_idx[0] + 1
+ return result
+
+ for i in range(1, len(input_files)):
+ current_dir_idx[0] = 0
+ split_one(input_files[i], get_subdir, clusters_per_file)
+ split = staticmethod(split)
+
+
class Alignment( data.Text ):
"""Class describing an alignment"""
--- a/lib/galaxy/jobs/__init__.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/jobs/__init__.py Tue May 24 15:15:03 2011 -0700
@@ -291,6 +291,7 @@
self.working_directory = \
os.path.join( self.app.config.job_working_directory, str( self.job_id ) )
self.output_paths = None
+ self.output_dataset_paths = None
self.tool_provided_job_metadata = None
# Wrapper holding the info required to restore and clean up from files used for setting metadata externally
self.external_output_metadata = metadata.JobExternalOutputMetadataWrapper( job )
@@ -657,23 +658,35 @@
def get_session_id( self ):
return self.session_id
+ def get_input_dataset_fnames( self, ds ):
+ filenames = []
+ filenames = [ ds.file_name ]
+ #we will need to stage in metadata file names also
+ #TODO: would be better to only stage in metadata files that are actually needed (found in command line, referenced in config files, etc.)
+ for key, value in ds.metadata.items():
+ if isinstance( value, model.MetadataFile ):
+ filenames.append( value.file_name )
+ return filenames
+
def get_input_fnames( self ):
job = self.get_job()
filenames = []
for da in job.input_datasets: #da is JobToInputDatasetAssociation object
if da.dataset:
- filenames.append( da.dataset.file_name )
- #we will need to stage in metadata file names also
- #TODO: would be better to only stage in metadata files that are actually needed (found in command line, referenced in config files, etc.)
- for key, value in da.dataset.metadata.items():
- if isinstance( value, model.MetadataFile ):
- filenames.append( value.file_name )
+ filenames.extend(self.get_input_dataset_fnames(da.dataset))
return filenames
def get_output_fnames( self ):
- if self.output_paths is not None:
- return self.output_paths
+ if self.output_paths is None:
+ self.compute_outputs()
+ return self.output_paths
+ def get_output_datasets_and_fnames( self ):
+ if self.output_dataset_paths is None:
+ self.compute_outputs()
+ return self.output_dataset_paths
+
+ def compute_outputs( self ) :
class DatasetPath( object ):
def __init__( self, dataset_id, real_path, false_path = None ):
self.dataset_id = dataset_id
@@ -688,19 +701,25 @@
job = self.get_job()
# Job output datasets are combination of output datasets, library datasets, and jeha datasets.
jeha = self.sa_session.query( model.JobExportHistoryArchive ).filter_by( job=job ).first()
+ jeha_false_path = None
if self.app.config.outputs_to_working_directory:
self.output_paths = []
+ output_dataset_paths = {}
for name, data in [ ( da.name, da.dataset.dataset ) for da in job.output_datasets + job.output_library_datasets ]:
false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % data.id ) )
- self.output_paths.append( DatasetPath( data.id, data.file_name, false_path ) )
+ dsp = DatasetPath( data.id, data.file_name, false_path )
+ self.output_paths.append( dsp )
+ self.output_dataset_paths[name] = data, dsp
if jeha:
- false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % jeha.dataset.id ) )
- self.output_paths.append( DatasetPath( jeha.dataset.id, jeha.dataset.file_name, false_path ) )
+ jeha_false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % jeha.dataset.id ) )
else:
- self.output_paths = [ DatasetPath( da.dataset.dataset.id, da.dataset.file_name ) for da in job.output_datasets + job.output_library_datasets ]
- if jeha:
- self.output_paths.append( DatasetPath( jeha.dataset.id, jeha.dataset.file_name ) )
-
+ results = [ (da.name, da.dataset, DatasetPath( da.dataset.dataset.id, da.dataset.file_name )) for da in job.output_datasets + job.output_library_datasets ]
+ self.output_paths = [t[2] for t in results]
+ self.output_dataset_paths = dict([(t[0], t[1:]) for t in results])
+
+ if jeha:
+ dsp = DatasetPath( jeha.dataset.id, jeha.dataset.file_name, jeha_false_path )
+ self.output_paths.append( dsp )
return self.output_paths
def get_output_file_id( self, file ):
@@ -807,12 +826,7 @@
def __init__(self, task, queue):
super(TaskWrapper, self).__init__(task.job, queue)
self.task_id = task.id
- self.parallelism = None
- if task.part_file:
- #do this better
- self.working_directory = os.path.dirname(task.part_file)
- else:
- self.working_directory = None
+ self.working_directory = task.working_directory
self.status = task.states.NEW
def get_job( self ):
--- a/lib/galaxy/jobs/runners/tasks.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/jobs/runners/tasks.py Tue May 24 15:15:03 2011 -0700
@@ -60,71 +60,58 @@
if command_line:
try:
# DBTODO read tool info and use the right kind of parallelism.
- # For now, the only splitter is the 'basic' one, n-ways split on one input, one output.
- # This is incredibly simplified. Parallelism ultimately needs to describe which inputs, how, etc.
+ # For now, the only splitter is the 'basic' one
job_wrapper.change_state( model.Job.states.RUNNING )
self.sa_session.flush()
- parent_job = job_wrapper.get_job()
# Split with the tool-defined method.
- if job_wrapper.tool.parallelism == "basic":
- from galaxy.jobs.splitters import basic
- if len(job_wrapper.get_input_fnames()) > 1 or len(job_wrapper.get_output_fnames()) > 1:
- log.error("The basic splitter is not capable of handling jobs with multiple inputs or outputs.")
- job_wrapper.change_state( model.Job.states.ERROR )
- job_wrapper.fail("Job Splitting Failed, the basic splitter only handles tools with one input and one output")
- # Requeue as a standard job?
- return
- input_file = job_wrapper.get_input_fnames()[0]
- working_directory = job_wrapper.working_directory
- # DBTODO execute an external task to do the splitting, this should happen at refactor.
- # Regarding number of ways split, use "hints" in tool config?
- # If the number of tasks is sufficiently high, we can use it to calculate job completion % and give a running status.
- basic.split(input_file, working_directory,
- 20, #Needs serious experimentation to find out what makes the most sense.
- parent_job.input_datasets[0].dataset.ext)
- # Tasks in this parts list are in alphabetical listdir order (15 before 5), but that should not matter.
- parts = [os.path.join(os.path.abspath(job_wrapper.working_directory), p, os.path.basename(input_file))
- for p in os.listdir(job_wrapper.working_directory)
- if p.startswith('task_')]
- else:
+ try:
+ splitter = getattr(__import__('galaxy.jobs.splitters', globals(), locals(), [job_wrapper.tool.parallelism.method]), job_wrapper.tool.parallelism.method)
+ except:
job_wrapper.change_state( model.Job.states.ERROR )
job_wrapper.fail("Job Splitting Failed, no match for '%s'" % job_wrapper.tool.parallelism)
- # Assemble parts into task_wrappers
+ return
+ tasks = splitter.do_split(job_wrapper)
# Not an option for now. Task objects don't *do* anything useful yet, but we'll want them tracked outside this thread to do anything.
# if track_tasks_in_database:
- tasks = []
task_wrappers = []
- for part in parts:
- task = model.Task(parent_job, part)
+ for task in tasks:
self.sa_session.add(task)
- tasks.append(task)
self.sa_session.flush()
+
# Must flush prior to the creation and queueing of task wrappers.
for task in tasks:
tw = TaskWrapper(task, job_wrapper.queue)
task_wrappers.append(tw)
self.app.job_manager.dispatcher.put(tw)
tasks_incomplete = False
+ count_complete = 0
sleep_time = 1
+ # sleep/loop until no more progress can be made. That is when
+ # all tasks are one of { OK, ERROR, DELETED }
+ completed_states = [ model.Task.states.OK, \
+ model.Task.states.ERROR, \
+ model.Task.states.DELETED ]
+ # TODO: Should we report an error (and not merge outputs) if one of the subtasks errored out?
+ # Should we prevent any that are pending from being started in that case?
while tasks_incomplete is False:
+ count_complete = 0
tasks_incomplete = True
for tw in task_wrappers:
- if not tw.get_state() == model.Task.states.OK:
+ task_state = tw.get_state()
+ if not task_state in completed_states:
tasks_incomplete = False
- sleep( sleep_time )
- if sleep_time < 8:
- sleep_time *= 2
- output_filename = job_wrapper.get_output_fnames()[0].real_path
- basic.merge(working_directory, output_filename)
- log.debug('execution finished: %s' % command_line)
- for tw in task_wrappers:
- # Prevent repetitive output, e.g. "Sequence File Aligned"x20
- # Eventually do a reduce for jobs that output "N reads mapped", combining all N for tasks.
- if stdout.strip() != tw.get_task().stdout.strip():
- stdout += tw.get_task().stdout
- if stderr.strip() != tw.get_task().stderr.strip():
- stderr += tw.get_task().stderr
+ else:
+ count_complete = count_complete + 1
+ if tasks_incomplete is False:
+ # log.debug('Tasks complete: %s. Sleeping %s' % (count_complete, sleep_time))
+ sleep( sleep_time )
+ if sleep_time < 8:
+ sleep_time *= 2
+
+ log.debug('execution finished - beginning merge: %s' % command_line)
+ stdout, stderr = splitter.do_merge(job_wrapper, task_wrappers)
+
except Exception:
job_wrapper.fail( "failure running job", exception=True )
log.exception("failure running job %d" % job_wrapper.job_id)
--- a/lib/galaxy/jobs/splitters/basic.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/jobs/splitters/basic.py Tue May 24 15:15:03 2011 -0700
@@ -1,91 +1,23 @@
-import os, logging
+import logging
+import multi
+
log = logging.getLogger( __name__ )
-def _file_len(fname):
- i = 0
- f = open(fname)
- for i, l in enumerate(f):
- pass
- f.close()
- return i + 1
+def set_basic_defaults(job_wrapper):
+ parent_job = job_wrapper.get_job()
+ job_wrapper.tool.parallelism.attributes['split_inputs'] = parent_job.input_datasets[0].name
+ job_wrapper.tool.parallelism.attributes['merge_outputs'] = job_wrapper.get_output_datasets_and_fnames().keys()[0]
-def _fq_seq_count(fname):
- count = 0
- f = open(fname)
- for i, l in enumerate(f):
- if l.startswith('@'):
- count += 1
- f.close()
- return count
-
-def split_fq(input_file, working_directory, parts):
- # Temporary, switch this to use the fq reader in lib/galaxy_utils/sequence.
- outputs = []
- length = _fq_seq_count(input_file)
- if length < 1:
- return outputs
- if length < parts:
- parts = length
- len_each, remainder = divmod(length, parts)
- f = open(input_file, 'rt')
- for p in range(0, parts):
- part_dir = os.path.join( os.path.abspath(working_directory), 'task_%s' % p)
- if not os.path.exists( part_dir ):
- os.mkdir( part_dir )
- part_path = os.path.join(part_dir, os.path.basename(input_file))
- part_file = open(part_path, 'w')
- for l in range(0, len_each):
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- if remainder > 0:
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- remainder -= 1
- outputs.append(part_path)
- part_file.close()
- f.close()
- return outputs
-
-def split_txt(input_file, working_directory, parts):
- outputs = []
- length = _file_len(input_file)
- if length < parts:
- parts = length
- len_each, remainder = divmod(length, parts)
- f = open(input_file, 'rt')
- for p in range(0, parts):
- part_dir = os.path.join( os.path.abspath(working_directory), 'task_%s' % p)
- if not os.path.exists( part_dir ):
- os.mkdir( part_dir )
- part_path = os.path.join(part_dir, os.path.basename(input_file))
- part_file = open(part_path, 'w')
- for l in range(0, len_each):
- part_file.write(f.readline())
- if remainder > 0:
- part_file.write(f.readline())
- remainder -= 1
- outputs.append(part_path)
- part_file.close()
- f.close()
- return outputs
+def do_split (job_wrapper):
+ if len(job_wrapper.get_input_fnames()) > 1 or len(job_wrapper.get_output_fnames()) > 1:
+ log.error("The basic splitter is not capable of handling jobs with multiple inputs or outputs.")
+ raise Exception, "Job Splitting Failed, the basic splitter only handles tools with one input and one output"
+ # add in the missing information for splitting the one input and merging the one output
+ set_basic_defaults(job_wrapper)
+ return multi.do_split(job_wrapper)
-def split( input_file, working_directory, parts, file_type = None):
- #Implement a better method for determining how to split.
- if file_type.startswith('fastq'):
- return split_fq(input_file, working_directory, parts)
- else:
- return split_txt(input_file, working_directory, parts)
+def do_merge( job_wrapper, task_wrappers):
+ # add in the missing information for splitting the one input and merging the one output
+ set_basic_defaults(job_wrapper)
+ return multi.do_merge(job_wrapper, task_wrappers)
-def merge( working_directory, output_file ):
- output_file_name = os.path.basename(output_file)
- task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
- task_dirs.sort(key = lambda x: int(x.split('task_')[-1]))
- for task_dir in task_dirs:
- try:
- os.system( 'cat %s >> %s' % ( os.path.join(task_dir, output_file_name), output_file ) )
- except Exception, e:
- log.error(str(e))
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/jobs/splitters/multi.py Tue May 24 15:15:03 2011 -0700
@@ -0,0 +1,149 @@
+import os, logging, shutil
+from galaxy import model
+
+log = logging.getLogger( __name__ )
+
+def do_split (job_wrapper):
+ parent_job = job_wrapper.get_job()
+ working_directory = os.path.abspath(job_wrapper.working_directory)
+
+ parallel_settings = job_wrapper.tool.parallelism.attributes
+ # Syntax: split_inputs="input1,input2" shared_inputs="genome"
+ # Designates inputs to be split or shared
+ split_inputs=parallel_settings.get("split_inputs")
+ if split_inputs is None:
+ split_inputs = []
+ else:
+ split_inputs = [x.strip() for x in split_inputs.split(",")]
+
+ shared_inputs=parallel_settings.get("shared_inputs")
+ if shared_inputs is None:
+ shared_inputs = []
+ else:
+ shared_inputs = [x.strip() for x in shared_inputs.split(",")]
+ illegal_inputs = [x for x in shared_inputs if x in split_inputs]
+ if len(illegal_inputs) > 0:
+ raise Exception("Inputs have conflicting parallelism attributes: %s" % str( illegal_inputs ))
+
+ subdir_index = [0] # use a list to get around Python 2.x lame closure support
+ task_dirs = []
+ def get_new_working_directory_name():
+ dir=os.path.join(working_directory, 'task_%d' % subdir_index[0])
+ subdir_index[0] = subdir_index[0] + 1
+ if not os.path.exists(dir):
+ os.makedirs(dir)
+ task_dirs.append(dir)
+ return dir
+
+ # For things like paired end alignment, we need two inputs to be split. Since all inputs to all
+ # derived subtasks need to be correlated, allow only one input type to be split
+ type_to_input_map = {}
+ for input in parent_job.input_datasets:
+ if input.name in split_inputs:
+ type_to_input_map.setdefault(input.dataset.datatype, []).append(input.name)
+ elif input.name in shared_inputs:
+ pass # pass original file name
+ else:
+ log_error = "The input '%s' does not define a method for implementing parallelism" % str(input.name)
+ log.error(log_error)
+ raise Exception(log_error)
+
+ if len(type_to_input_map) > 1:
+ log_error = "The multi splitter does not support splitting inputs of more than one type"
+ log.error(log_error)
+ raise Exception(log_error)
+
+ # split the first one to build up the task directories
+ input_files = []
+ for input in parent_job.input_datasets:
+ if input.name in split_inputs:
+ this_input_files = job_wrapper.get_input_dataset_fnames(input.dataset)
+ if len(this_input_files) > 1:
+ log_error = "The input '%s' is composed of multiple files - splitting is not allowed" % str(input.name)
+ log.error(log_error)
+ raise Exception(log_error)
+ input_files.extend(this_input_files)
+
+ input_type = type_to_input_map.keys()[0]
+ # DBTODO execute an external task to do the splitting, this should happen at refactor.
+ # If the number of tasks is sufficiently high, we can use it to calculate job completion % and give a running status.
+ try:
+ input_type.split(input_files, get_new_working_directory_name, parallel_settings)
+ except AttributeError:
+ log_error = "The type '%s' does not define a method for splitting files" % str(input_type)
+ log.error(log_error)
+ raise
+ log.debug('do_split created %d parts' % len(task_dirs))
+ # next, after we know how many divisions there are, add the shared inputs via soft links
+ for input in parent_job.input_datasets:
+ if input and input.name in shared_inputs:
+ names = job_wrapper.get_input_dataset_fnames(input.dataset)
+ for dir in task_dirs:
+ for file in names:
+ os.symlink(file, os.path.join(dir, os.path.basename(file)))
+ tasks = []
+ for dir in task_dirs:
+ task = model.Task(parent_job, dir)
+ tasks.append(task)
+ return tasks
+
+
+def do_merge( job_wrapper, task_wrappers):
+ parent_job = job_wrapper.get_job()
+ parallel_settings = job_wrapper.tool.parallelism.attributes
+ # Syntax: merge_outputs="export" pickone_outputs="genomesize"
+ # Designates outputs to be merged, or selected from as a representative
+ merge_outputs = parallel_settings.get("merge_outputs")
+ if merge_outputs is None:
+ merge_outputs = []
+ else:
+ merge_outputs = [x.strip() for x in merge_outputs.split(",")]
+ pickone_outputs = parallel_settings.get("pickone_outputs")
+ if pickone_outputs is None:
+ pickone_outputs = []
+ else:
+ pickone_outputs = [x.strip() for x in pickone_outputs.split(",")]
+
+ illegal_outputs = [x for x in merge_outputs if x in pickone_outputs]
+ if len(illegal_outputs) > 0:
+ raise Exception("Outputs have conflicting parallelism attributes: %s" % str( illegal_outputs ))
+
+
+ working_directory = job_wrapper.working_directory
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ # TODO: Output datasets can be very complex. This doesn't handle metadata files
+ outputs = job_wrapper.get_output_datasets_and_fnames()
+ pickone_done = []
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ for output in outputs:
+ output_file_name = str(outputs[output][1])
+ base_output_name = os.path.basename(output_file_name)
+ if output in merge_outputs:
+ output_type = outputs[output][0].datatype
+ output_files = [os.path.join(dir,base_output_name) for dir in task_dirs]
+ log.debug('files %s ' % output_files)
+ output_type.merge(output_files, output_file_name)
+ log.debug('merge finished: %s' % output_file_name)
+ pass # TODO: merge all the files
+ elif output in pickone_outputs:
+ # just pick one of them
+ if output not in pickone_done:
+ task_file_name = os.path.join(task_dirs[0], base_output_name)
+ shutil.move( task_file_name, output_file_name )
+ pickone_done.append(output)
+ else:
+ log_error = "The output '%s' does not define a method for implementing parallelism" % output
+ log.error(log_error)
+ raise Exception(log_error)
+
+ stdout = ''
+ stderr=''
+ for tw in task_wrappers:
+ # Prevent repetitive output, e.g. "Sequence File Aligned"x20
+ # Eventually do a reduce for jobs that output "N reads mapped", combining all N for tasks.
+ if stdout.strip() != tw.get_task().stdout.strip():
+ stdout += tw.get_task().stdout
+ if stderr.strip() != tw.get_task().stderr.strip():
+ stderr += tw.get_task().stderr
+ return (stdout, stderr)
+
--- a/lib/galaxy/model/__init__.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/model/__init__.py Tue May 24 15:15:03 2011 -0700
@@ -176,12 +176,23 @@
self.parameters = []
self.state = Task.states.NEW
self.info = None
+ # TODO: Rename this to working_directory
+ # Does this necessitate a DB migration step?
self.part_file = part_file
self.task_runner_name = None
self.task_runner_external_id = None
self.job = job
self.stdout = None
self.stderr = None
+
+ @property
+ def working_directory(self):
+ if self.part_file is not None:
+ if not os.path.isdir(self.part_file):
+ return os.path.dirname(self.part_file)
+ else:
+ return self.part_file
+ return None
def set_state( self, state ):
self.state = state
--- a/lib/galaxy/tools/__init__.py Tue May 24 05:33:07 2011 -0400
+++ b/lib/galaxy/tools/__init__.py Tue May 24 15:15:03 2011 -0700
@@ -321,6 +321,21 @@
self.type = None
self.version = None
+class ToolParallelismInfo(object):
+ """
+ Stores the information (if any) for running multiple instances of the tool in parallel
+ on the same set of inputs.
+ """
+ def __init__(self, tag):
+ self.method = tag.get('method')
+ self.attributes = dict([item for item in tag.attrib.items() if item[0] != 'method' ])
+ if len(self.attributes) == 0:
+ # legacy basic mode - provide compatible defaults
+ self.attributes['split_size'] = 20
+ self.attributes['split_mode'] = 'number_of_parts'
+
+
+
class Tool:
"""
Represents a computational tool that can be executed through Galaxy.
@@ -403,7 +418,7 @@
# Parallelism for tasks, read from tool config.
parallelism = root.find("parallelism")
if parallelism is not None and parallelism.get("method"):
- self.parallelism = parallelism.get("method")
+ self.parallelism = ToolParallelismInfo(parallelism)
else:
self.parallelism = None
if self.app.config.start_job_runners is None:
http://bitbucket.org/galaxy/galaxy-central/changeset/6441f8214ebe/
changeset: 6441f8214ebe
user: John Duddy
date: 2011-05-25 19:45:53
summary: Remove zcat + gzip -c for merging gz files. Go with cat for now
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/datatypes/data.py Tue May 24 15:15:03 2011 -0700
+++ b/lib/galaxy/datatypes/data.py Wed May 25 10:45:53 2011 -0700
@@ -1,4 +1,4 @@
-import logging, os, sys, time, tempfile, gzip
+import logging, os, sys, time, tempfile
from galaxy import util
from galaxy.util.odict import odict
from galaxy.util.bunch import Bunch
@@ -356,24 +356,11 @@
def merge( split_files, output_file):
"""
- Export files are usually compressed, but it doesn't have to be so. In the case that they are, use
- zcat to cat the files and gzip -c to recompress the result, otherwise use cat
- TODO: Move to a faster gzjoin-based technique
+ TODO: Do we need to merge gzip files using gzjoin? cat seems to work,
+ but might be brittle. Need to revisit this.
"""
- #TODO: every time I try to import this from sniff, the parser dies
- def is_gzip( filename ):
- temp = open( filename, "U" )
- magic_check = temp.read( 2 )
- temp.close()
- if magic_check != util.gzip_magic:
- return False
- return True
-
if len(split_files) == 1:
os.system( 'mv -f %s %s' % ( split_files[0], output_file ) )
- return
- if is_gzip(split_files[0]):
- os.system( 'zcat %s | gzip -c > %s' % ( ' '.join(split_files), output_file ) )
else:
os.system( 'cat %s > %s' % ( ' '.join(split_files), output_file ) )
merge = staticmethod(merge)
http://bitbucket.org/galaxy/galaxy-central/changeset/4a5512953201/
changeset: 4a5512953201
user: John Duddy
date: 2011-06-16 21:19:07
summary: Add ability to split compressed input
Fix off by one error on number_of_parts splitting
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/datatypes/sequence.py Tue May 24 15:15:03 2011 -0700
+++ b/lib/galaxy/datatypes/sequence.py Thu Jun 16 12:19:07 2011 -0700
@@ -2,6 +2,7 @@
Sequence classes
"""
+import gzip
import data
import logging
import re
@@ -58,17 +59,22 @@
return
def split_one( input_file, get_dir, clusters_per_file, default_clusters=None):
- in_file = open(input_file, 'rt')
+ compress = is_gzip(input_file)
+ if compress:
+# TODO: Python 2.4, 2.5 don't have io.BufferedReader!!!
+# add a buffered reader because gzip is really slow before python 2.7
+ in_file = gzip.GzipFile(input_file, 'r')
+ else:
+ in_file = open(input_file, 'rt')
part_file = None
part = 0
if clusters_per_file is None:
local_clusters_per_file = [default_clusters]
else:
local_clusters_per_file = [x for x in clusters_per_file]
-
for i, line in enumerate(in_file):
cluster_number, line_in_cluster = divmod(i, 4)
- current_part, remainder = divmod(cluster_number, local_clusters_per_file[part])
+ current_part, remainder = divmod(cluster_number, local_clusters_per_file[part]+1)
if (current_part != part or part_file is None):
if (part_file):
@@ -76,6 +82,7 @@
part = current_part
part_dir = get_dir()
part_path = os.path.join(part_dir, os.path.basename(input_file))
+# TODO: If the input was compressed, compress the output?
part_file = open(part_path, 'w')
if clusters_per_file is None:
local_clusters_per_file.append(default_clusters)
http://bitbucket.org/galaxy/galaxy-central/changeset/ea221820ba19/
changeset: ea221820ba19
user: John Duddy
date: 2011-06-16 23:00:45
summary: Merge
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/datatypes/data.py Thu Jun 16 12:19:07 2011 -0700
+++ b/lib/galaxy/datatypes/data.py Thu Jun 16 14:00:45 2011 -0700
@@ -1,4 +1,4 @@
-import logging, os, sys, time, tempfile, gzip
+import logging, os, sys, time, tempfile
from galaxy import util
from galaxy.util.odict import odict
from galaxy.util.bunch import Bunch
@@ -356,24 +356,11 @@
def merge( split_files, output_file):
"""
- Export files are usually compressed, but it doesn't have to be so. In the case that they are, use
- zcat to cat the files and gzip -c to recompress the result, otherwise use cat
- TODO: Move to a faster gzjoin-based technique
+ TODO: Do we need to merge gzip files using gzjoin? cat seems to work,
+ but might be brittle. Need to revisit this.
"""
- #TODO: every time I try to import this from sniff, the parser dies
- def is_gzip( filename ):
- temp = open( filename, "U" )
- magic_check = temp.read( 2 )
- temp.close()
- if magic_check != util.gzip_magic:
- return False
- return True
-
if len(split_files) == 1:
os.system( 'mv -f %s %s' % ( split_files[0], output_file ) )
- return
- if is_gzip(split_files[0]):
- os.system( 'zcat %s | gzip -c > %s' % ( ' '.join(split_files), output_file ) )
else:
os.system( 'cat %s > %s' % ( ' '.join(split_files), output_file ) )
merge = staticmethod(merge)
http://bitbucket.org/galaxy/galaxy-central/changeset/1dfae31e27bc/
changeset: 1dfae31e27bc
user: John Duddy
date: 2011-06-16 23:06:06
summary: Fix issues related to splitting multiple inputs and handling
Files split evenly
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/datatypes/sequence.py Thu Jun 16 14:00:45 2011 -0700
+++ b/lib/galaxy/datatypes/sequence.py Thu Jun 16 14:06:06 2011 -0700
@@ -58,7 +58,10 @@
if split_params is None:
return
- def split_one( input_file, get_dir, clusters_per_file, default_clusters=None):
+ def split_calculate_clusters( input_file, get_dir, default_clusters):
+ """
+ Split the 0th file into even sized chunks, and return the number of clusters in each
+ """
compress = is_gzip(input_file)
if compress:
# TODO: Python 2.4, 2.5 don't have io.BufferedReader!!!
@@ -68,13 +71,10 @@
in_file = open(input_file, 'rt')
part_file = None
part = 0
- if clusters_per_file is None:
- local_clusters_per_file = [default_clusters]
- else:
- local_clusters_per_file = [x for x in clusters_per_file]
+ local_clusters_per_file = []
for i, line in enumerate(in_file):
cluster_number, line_in_cluster = divmod(i, 4)
- current_part, remainder = divmod(cluster_number, local_clusters_per_file[part]+1)
+ current_part, remainder = divmod(cluster_number, default_clusters)
if (current_part != part or part_file is None):
if (part_file):
@@ -84,8 +84,7 @@
part_path = os.path.join(part_dir, os.path.basename(input_file))
# TODO: If the input was compressed, compress the output?
part_file = open(part_path, 'w')
- if clusters_per_file is None:
- local_clusters_per_file.append(default_clusters)
+ local_clusters_per_file.append(default_clusters)
part_file.write(line)
if (part_file):
part_file.close()
@@ -93,6 +92,50 @@
local_clusters_per_file[part] = remainder + 1
return local_clusters_per_file
+ def split_to_size(input_file, get_dir, clusters_per_file):
+ """
+ Split the files beyond the 0th to the same number of clusters as the 0th.
+ This is used to split in a variety of ways, so these are both legal for
+ clusters_per_file:
+ [ 10000, 10000, 10000, 10000, 2 ] # to_size=10000, 40002 total
+ [ 10001, 10001, 10000, 10000 ] # number_of_parts = 4, 40002 total
+
+ """
+ compress = is_gzip(input_file)
+ if compress:
+# TODO: Python 2.4, 2.5 don't have io.BufferedReader!!!
+# add a buffered reader because gzip is really slow before python 2.7
+ in_file = gzip.GzipFile(input_file, 'r')
+ else:
+ in_file = open(input_file, 'rt')
+ part_file = None
+ part = 0
+ clusters_this_part = 0
+ for i, line in enumerate(in_file):
+ cluster_number, line_in_cluster = divmod(i, 4)
+ if clusters_this_part == clusters_per_file[part]:
+ current_part = part + 1
+ else:
+ current_part = part
+
+ if (current_part != part or part_file is None):
+ if (part_file):
+ part_file.close()
+ part = current_part
+ clusters_this_part = 0
+ part_dir = get_dir()
+ part_path = os.path.join(part_dir, os.path.basename(input_file))
+# TODO: If the input was compressed, compress the output?
+ part_file = open(part_path, 'w')
+ if clusters_per_file is None and part > 0:
+ local_clusters_per_file.append(default_clusters)
+ part_file.write(line)
+ if line_in_cluster == 3:
+ clusters_this_part += 1
+ if (part_file):
+ part_file.close()
+ in_file.close()
+
directories = []
def create_subdir():
dir = subdir_generator_function()
@@ -123,10 +166,11 @@
clusters_per_file.append(chunk)
remainder=- 1
length -= chunk
- split_one(input_files[0], create_subdir, clusters_per_file)
+ split_to_size(input_files[0], create_subdir, clusters_per_file)
elif split_params['split_mode'] == 'to_size':
# split one file and see what the cluster sizes turn out to be
- clusters_per_file = split_one(input_files[0], create_subdir, None, int(split_params['split_size']))
+ clusters_per_file = split_calculate_clusters(input_files[0], create_subdir,
+ int(split_params['split_size']))
else:
raise Exception('Unsupported split mode %s' % split_params['split_mode'])
@@ -141,7 +185,7 @@
for i in range(1, len(input_files)):
current_dir_idx[0] = 0
- split_one(input_files[i], get_subdir, clusters_per_file)
+ split_to_size(input_files[i], get_subdir, clusters_per_file)
split = staticmethod(split)
http://bitbucket.org/galaxy/galaxy-central/changeset/49c9f87e4717/
changeset: 49c9f87e4717
user: John Duddy
date: 2011-10-07 22:25:19
summary: Merge
affected #: 711 files (-1 bytes)
Diff too large to display.
http://bitbucket.org/galaxy/galaxy-central/changeset/1827729ed37e/
changeset: 1827729ed37e
user: John Duddy
date: 2011-10-07 23:12:40
summary: Upgrade of splitting code to do splitting in the tasks versus in the Galaxy process
affected #: 12 files (-1 bytes)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/extract_dataset_parts.sh Fri Oct 07 14:12:40 2011 -0700
@@ -0,0 +1,8 @@
+#!/bin/sh
+
+cd `dirname $0`
+for file in $1/split_info*.json
+do
+ # echo processing $file
+ python ./scripts/extract_dataset_part.py $file
+done
--- a/lib/galaxy/datatypes/data.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/datatypes/data.py Fri Oct 07 14:12:40 2011 -0700
@@ -360,9 +360,12 @@
but might be brittle. Need to revisit this.
"""
if len(split_files) == 1:
- os.system( 'mv -f %s %s' % ( split_files[0], output_file ) )
+ cmd = 'mv -f %s %s' % ( split_files[0], output_file )
else:
- os.system( 'cat %s > %s' % ( ' '.join(split_files), output_file ) )
+ cmd = 'cat %s > %s' % ( ' '.join(split_files), output_file )
+ result = os.system(cmd)
+ if result != 0:
+ raise Exception('Result %s from %s' % (result, cmd))
merge = staticmethod(merge)
class Text( Data ):
@@ -533,6 +536,13 @@
f.close()
split = staticmethod(split)
+class LineCount( Text ):
+ """
+ Dataset contains a single line with a single integer that denotes the
+ line count for a related dataset. Used for custom builds.
+ """
+ pass
+
class Newick( Text ):
pass
--- a/lib/galaxy/datatypes/sequence.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/datatypes/sequence.py Fri Oct 07 14:12:40 2011 -0700
@@ -7,6 +7,7 @@
import logging
import re
import string
+import os
from cgi import escape
from galaxy.datatypes.metadata import MetadataElement
from galaxy.datatypes import metadata
@@ -14,8 +15,52 @@
from galaxy import util
from sniff import *
+import pkg_resources
+pkg_resources.require("simplejson")
+import simplejson
+
log = logging.getLogger(__name__)
+class SequenceSplitLocations( data.Text ):
+ """
+ Class storing information about a sequence file composed of multiple gzip files concatenated as
+ one OR an uncompressed file. In the GZIP case, each sub-file's location is stored in start and end.
+ The format of the file is JSON:
+ { "sections" : [
+ { "start" : "x", "end" : "y", "clusters" : "z" },
+ ...
+ ]}
+ """
+ def set_peek( self, dataset, is_multi_byte=False ):
+ if not dataset.dataset.purged:
+ try:
+ parsed_data = simplejson.load(open(dataset.file_name))
+ # dataset.peek = simplejson.dumps(data, sort_keys=True, indent=4)
+ dataset.peek = data.get_file_peek( dataset.file_name, is_multi_byte=is_multi_byte )
+ dataset.blurb = '%d sections' % len(parsed_data['sections'])
+ except Exception, e:
+ dataset.peek = 'Not FQTOC file'
+ dataset.blurb = 'Not FQTOC file'
+ else:
+ dataset.peek = 'file does not exist'
+ dataset.blurb = 'file purged from disk'
+
+ file_ext = "fqtoc"
+
+ def sniff( self, filename ):
+ if os.path.getsize(filename) < 50000:
+ try:
+ data = simplejson.load(open(filename))
+ sections = data['sections']
+ for section in sections:
+ if 'start' not in section or 'end' not in section or 'clusters' not in section:
+ return False
+ return True
+ except:
+ pass
+ return False
+
+
class Sequence( data.Text ):
"""Class describing a sequence"""
@@ -50,143 +95,237 @@
else:
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
+
+ def get_sequences_per_file(total_clusters, split_params):
+ if split_params['split_mode'] == 'number_of_parts':
+ # legacy basic mode - split into a specified number of parts
+ parts = int(split_params['split_size'])
+ sequences_per_file = [total_clusters/parts for i in range(parts)]
+ for i in range(total_clusters % parts):
+ sequences_per_file[i] += 1
+ elif split_params['split_mode'] == 'to_size':
+ # loop through the sections and calculate the number of clusters
+ chunk_size = long(split_params['split_size'])
+
+ chunks = total_clusters / chunk_size
+ rem = total_clusters % chunk_size
+ sequences_per_file = [chunk_size for i in range(total_clusters / chunk_size)]
+ # TODO: Should we invest the time in a better way to handle small remainders?
+ if rem > 0:
+ sequences_per_file.append(rem)
+ else:
+ raise Exception('Unsupported split mode %s' % split_params['split_mode'])
+ return sequences_per_file
+ get_sequences_per_file = staticmethod(get_sequences_per_file)
+
+ def do_slow_split( cls, input_datasets, subdir_generator_function, split_params):
+ # count the clusters so we can split
+ # TODO: if metadata is present, take the number of lines / 4
+ if input_datasets[0].metadata is not None and input_datasets[0].metadata.sequences is not None:
+ total_clusters = input_datasets[0].metadata.sequences
+ else:
+ input_file = input_datasets[0].file_name
+ compress = is_gzip(input_file)
+ if compress:
+ # gzip is really slow before python 2.7!
+ in_file = gzip.GzipFile(input_file, 'r')
+ else:
+ # TODO
+ # if a file is not compressed, seek locations can be calculated and stored
+ # ideally, this would be done in metadata
+ # TODO
+ # Add BufferedReader if python 2.7?
+ in_file = open(input_file, 'rt')
+ total_clusters = long(0)
+ for i, line in enumerate(in_file):
+ total_clusters += 1
+ in_file.close()
+ total_clusters /= 4
+
+ sequences_per_file = cls.get_sequences_per_file(total_clusters, split_params)
+ return cls.write_split_files(input_datasets, None, subdir_generator_function, sequences_per_file)
+ do_slow_split = classmethod(do_slow_split)
+
+ def do_fast_split( cls, input_datasets, toc_file_datasets, subdir_generator_function, split_params):
+ data = simplejson.load(open(toc_file_datasets[0].file_name))
+ sections = data['sections']
+ total_clusters = long(0)
+ for section in sections:
+ total_clusters += long(section['clusters'])
+ sequences_per_file = cls.get_sequences_per_file(total_clusters, split_params)
+ return cls.write_split_files(input_datasets, toc_file_datasets, subdir_generator_function, sequences_per_file)
+ do_fast_split = classmethod(do_fast_split)
+
+ def write_split_files(cls, input_datasets, toc_file_datasets, subdir_generator_function, sequences_per_file):
+ directories = []
+ def get_subdir(idx):
+ if idx < len(directories):
+ return directories[idx]
+ dir = subdir_generator_function()
+ directories.append(dir)
+ return dir
+
+ # we know how many splits and how many clusters in each. What remains is to write out instructions for the
+ # splitting of all the input files. To decouple the format of those instructions from this code, the exact format of
+ # those instructions is delegated to scripts
+ start_sequence=0
+ for part_no in range(len(sequences_per_file)):
+ dir = get_subdir(part_no)
+ for ds_no in range(len(input_datasets)):
+ ds = input_datasets[ds_no]
+ base_name = os.path.basename(ds.file_name)
+ part_path = os.path.join(dir, base_name)
+ split_data = dict(class_name='%s.%s' % (cls.__module__, cls.__name__),
+ output_name=part_path,
+ input_name=ds.file_name,
+ args=dict(start_sequence=start_sequence, num_sequences=sequences_per_file[part_no]))
+ if toc_file_datasets is not None:
+ toc = toc_file_datasets[ds_no]
+ split_data['args']['toc_file'] = toc.file_name
+ f = open(os.path.join(dir, 'split_info_%s.json' % base_name), 'w')
+ simplejson.dump(split_data, f)
+ f.close()
+ start_sequence += sequences_per_file[part_no]
+ return directories
+ write_split_files = classmethod(write_split_files)
- def split( input_files, subdir_generator_function, split_params):
+ def split( cls, input_datasets, subdir_generator_function, split_params):
"""
FASTQ files are split on cluster boundaries, in increments of 4 lines
"""
if split_params is None:
- return
+ return None
+
+ # first, see if there are any associated FQTOC files that will give us the split locations
+ # if so, we don't need to read the files to do the splitting
+ toc_file_datasets = []
+ for ds in input_datasets:
+ tmp_ds = ds
+ fqtoc_file = None
+ while fqtoc_file is None and tmp_ds is not None:
+ fqtoc_file = tmp_ds.get_converted_files_by_type('fqtoc')
+ tmp_ds = tmp_ds.copied_from_library_dataset_dataset_association
+
+ if fqtoc_file is not None:
+ toc_file_datasets.append(fqtoc_file)
+
+ if len(toc_file_datasets) == len(input_datasets):
+ return cls.do_fast_split(input_datasets, toc_file_datasets, subdir_generator_function, split_params)
+ return cls.do_slow_split(input_datasets, subdir_generator_function, split_params)
+ split = classmethod(split)
+
+ def process_split_file(data):
+ """
+ This is called in the context of an external process launched by a Task (possibly not on the Galaxy machine)
+ to create the input files for the Task. The parameters:
+ data - a dict containing the contents of the split file
+ """
+ args = data['args']
+ input_name = data['input_name']
+ output_name = data['output_name']
+ start_sequence = long(args['start_sequence'])
+ sequence_count = long(args['num_sequences'])
- def split_calculate_clusters( input_file, get_dir, default_clusters):
- """
- Split the 0th file into even sized chunks, and return the number of clusters in each
- """
- compress = is_gzip(input_file)
- if compress:
-# TODO: Python 2.4, 2.5 don't have io.BufferedReader!!!
-# add a buffered reader because gzip is really slow before python 2.7
- in_file = gzip.GzipFile(input_file, 'r')
- else:
- in_file = open(input_file, 'rt')
- part_file = None
- part = 0
- local_clusters_per_file = []
- for i, line in enumerate(in_file):
- cluster_number, line_in_cluster = divmod(i, 4)
- current_part, remainder = divmod(cluster_number, default_clusters)
+ if 'toc_file' in args:
+ toc_file = simplejson.load(open(args['toc_file'], 'r'))
+ commands = Sequence.get_split_commands_with_toc(input_name, output_name, toc_file, start_sequence, sequence_count)
+ else:
+ commands = Sequence.get_split_commands_sequential(is_gzip(input_name), input_name, output_name, start_sequence, sequence_count)
+ for cmd in commands:
+ if 0 != os.system(cmd):
+ raise Exception("Executing '%s' failed" % cmd)
+ return True
+ process_split_file = staticmethod(process_split_file)
+
+ def get_split_commands_with_toc(input_name, output_name, toc_file, start_sequence, sequence_count):
+ """
+ Uses a Table of Contents dict, parsed from an FQTOC file, to come up with a set of
+ shell commands that will extract the parts necessary
+ >>> three_sections=[dict(start=0, end=74, clusters=10), dict(start=74, end=148, clusters=10), dict(start=148, end=148+76, clusters=10)]
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=0, sequence_count=10)
+ ['dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=1, sequence_count=5)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +5 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=0, sequence_count=20)
+ ['dd bs=1 skip=0 count=148 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=5, sequence_count=10)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +21 2> /dev/null) | head -20 | gzip -c >> ./output.gz', '(dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +1 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=10, sequence_count=10)
+ ['dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=5, sequence_count=20)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +21 2> /dev/null) | head -20 | gzip -c >> ./output.gz', 'dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null >> ./output.gz', '(dd bs=1 skip=148 count=76 if=./input.gz 2> /dev/null )| zcat | ( tail -n +1 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ """
+ sections = toc_file['sections']
+ result = []
+
+ current_sequence = long(0)
+ i=0
+ # skip to the section that contains my starting sequence
+ while i < len(sections) and start_sequence >= current_sequence + long(sections[i]['clusters']):
+ current_sequence += long(sections[i]['clusters'])
+ i += 1
+ if i == len(sections): # bad input data!
+ raise Exception('No FQTOC section contains starting sequence %s' % start_sequence)
+
+ # These two variables act as an accumulator for consecutive entire blocks that
+ # can be copied verbatim (without decompressing)
+ start_chunk = long(-1)
+ end_chunk = long(-1)
+ copy_chunk_cmd = 'dd bs=1 skip=%s count=%s if=%s 2> /dev/null >> %s'
+
+ while sequence_count > 0 and i < len(sections):
+ # we need to extract partial data. So, find the byte offsets of the chunks that contain the data we need
+ # use a combination of dd (to pull just the right sections out) tail (to skip lines) and head (to get the
+ # right number of lines
+ sequences = long(sections[i]['clusters'])
+ skip_sequences = start_sequence-current_sequence
+ sequences_to_extract = min(sequence_count, sequences-skip_sequences)
+ start_copy = long(sections[i]['start'])
+ end_copy = long(sections[i]['end'])
+ if sequences_to_extract < sequences:
+ if start_chunk > -1:
+ result.append(copy_chunk_cmd % (start_chunk, end_chunk-start_chunk, input_name, output_name))
+ start_chunk = -1
+ # extract, unzip, trim, recompress
+ result.append('(dd bs=1 skip=%s count=%s if=%s 2> /dev/null )| zcat | ( tail -n +%s 2> /dev/null) | head -%s | gzip -c >> %s' %
+ (start_copy, end_copy-start_copy, input_name, skip_sequences*4+1, sequences_to_extract*4, output_name))
+ else: # whole section - add it to the start_chunk/end_chunk accumulator
+ if start_chunk == -1:
+ start_chunk = start_copy
+ end_chunk = end_copy
+ sequence_count -= sequences_to_extract
+ start_sequence += sequences_to_extract
+ current_sequence += sequences
+ i += 1
+ if start_chunk > -1:
+ result.append(copy_chunk_cmd % (start_chunk, end_chunk-start_chunk, input_name, output_name))
- if (current_part != part or part_file is None):
- if (part_file):
- part_file.close()
- part = current_part
- part_dir = get_dir()
- part_path = os.path.join(part_dir, os.path.basename(input_file))
-# TODO: If the input was compressed, compress the output?
- part_file = open(part_path, 'w')
- local_clusters_per_file.append(default_clusters)
- part_file.write(line)
- if (part_file):
- part_file.close()
- in_file.close()
- local_clusters_per_file[part] = remainder + 1
- return local_clusters_per_file
-
- def split_to_size(input_file, get_dir, clusters_per_file):
- """
- Split the files beyond the 0th to the same number of clusters as the 0th.
- This is used to split in a variety of ways, so these are both legal for
- clusters_per_file:
- [ 10000, 10000, 10000, 10000, 2 ] # to_size=10000, 40002 total
- [ 10001, 10001, 10000, 10000 ] # number_of_parts = 4, 40002 total
+ if sequence_count > 0:
+ raise Exception('%s sequences not found in file' % sequence_count)
+
+ return result
+ get_split_commands_with_toc = staticmethod(get_split_commands_with_toc)
- """
- compress = is_gzip(input_file)
- if compress:
-# TODO: Python 2.4, 2.5 don't have io.BufferedReader!!!
-# add a buffered reader because gzip is really slow before python 2.7
- in_file = gzip.GzipFile(input_file, 'r')
- else:
- in_file = open(input_file, 'rt')
- part_file = None
- part = 0
- clusters_this_part = 0
- for i, line in enumerate(in_file):
- cluster_number, line_in_cluster = divmod(i, 4)
- if clusters_this_part == clusters_per_file[part]:
- current_part = part + 1
- else:
- current_part = part
-
- if (current_part != part or part_file is None):
- if (part_file):
- part_file.close()
- part = current_part
- clusters_this_part = 0
- part_dir = get_dir()
- part_path = os.path.join(part_dir, os.path.basename(input_file))
-# TODO: If the input was compressed, compress the output?
- part_file = open(part_path, 'w')
- if clusters_per_file is None and part > 0:
- local_clusters_per_file.append(default_clusters)
- part_file.write(line)
- if line_in_cluster == 3:
- clusters_this_part += 1
- if (part_file):
- part_file.close()
- in_file.close()
- directories = []
- def create_subdir():
- dir = subdir_generator_function()
- directories.append(dir)
- return dir
+ def get_split_commands_sequential(is_compressed, input_name, output_name, start_sequence, sequence_count):
+ """
+ Does a brain-dead sequential scan & extract of certain sequences
+ >>> Sequence.get_split_commands_sequential(True, './input.gz', './output.gz', start_sequence=0, sequence_count=10)
+ ['zcat "./input.gz" | ( tail -n +1 2> /dev/null) | head -40 | gzip -c > "./output.gz"']
+ >>> Sequence.get_split_commands_sequential(False, './input.fastq', './output.fastq', start_sequence=10, sequence_count=10)
+ ['tail -n +41 "./input.fastq" 2> /dev/null | head -40 > "./output.fastq"']
+ """
+ start_line = start_sequence * 4
+ line_count = sequence_count * 4
+ # TODO: verify that tail can handle 64-bit numbers
+ if is_compressed:
+ cmd = 'zcat "%s" | ( tail -n +%s 2> /dev/null) | head -%s | gzip -c' % (input_name, start_line+1, line_count)
+ else:
+ cmd = 'tail -n +%s "%s" 2> /dev/null | head -%s' % (start_line+1, input_name, line_count)
+ cmd += ' > "%s"' % output_name
- clusters_per_file = None
- if split_params['split_mode'] == 'number_of_parts':
- # legacy splitting. To keep things simple, just scan the 0th file and count the clusters,
- # then split it
- clusters_per_file = []
- in_file = open(input_files[0], 'rt')
- for i, line in enumerate(in_file):
- pass
- in_file.close()
- length = (i+1)/4
-
- if length <= 0:
- raise Exception('Invalid sequence file %s' % input_files[0])
- parts = int(split_params['split_size'])
- if length < parts:
- parts = length
- len_each, remainder = divmod(length, parts)
- while length > 0:
- chunk = len_each
- if remainder > 0:
- chunk += 1
- clusters_per_file.append(chunk)
- remainder=- 1
- length -= chunk
- split_to_size(input_files[0], create_subdir, clusters_per_file)
- elif split_params['split_mode'] == 'to_size':
- # split one file and see what the cluster sizes turn out to be
- clusters_per_file = split_calculate_clusters(input_files[0], create_subdir,
- int(split_params['split_size']))
- else:
- raise Exception('Unsupported split mode %s' % split_params['split_mode'])
-
- # split the rest, using the same number of clusters for each file
- current_dir_idx = [0] # use a list to get around Python 2.x lame closure support
- def get_subdir():
- if len(directories) <= current_dir_idx[0]:
- raise Exception('FASTQ files do not have the same number of clusters - splitting failed')
- result = directories[current_dir_idx[0]]
- current_dir_idx[0] = current_dir_idx[0] + 1
- return result
-
- for i in range(1, len(input_files)):
- current_dir_idx[0] = 0
- split_to_size(input_files[i], get_subdir, clusters_per_file)
- split = staticmethod(split)
+ return [cmd]
+ get_split_commands_sequential = staticmethod(get_split_commands_sequential)
@@ -690,3 +829,7 @@
return False
except:
return False
+
+if __name__ == '__main__':
+ import doctest, sys
+ doctest.testmod(sys.modules[__name__])
\ No newline at end of file
--- a/lib/galaxy/jobs/__init__.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/jobs/__init__.py Fri Oct 07 14:12:40 2011 -0700
@@ -32,9 +32,9 @@
class JobManager( object ):
"""
Highest level interface to job management.
-
+
TODO: Currently the app accesses "job_queue" and "job_stop_queue" directly.
- This should be decoupled.
+ This should be decoupled.
"""
def __init__( self, app ):
self.app = app
@@ -71,7 +71,7 @@
class JobQueue( object ):
"""
- Job manager, waits for jobs to be runnable and then dispatches to
+ Job manager, waits for jobs to be runnable and then dispatches to
a JobRunner.
"""
STOP_SIGNAL = object()
@@ -95,7 +95,7 @@
self.running = True
self.dispatcher = dispatcher
self.monitor_thread = threading.Thread( target=self.__monitor )
- self.monitor_thread.start()
+ self.monitor_thread.start()
log.info( "job manager started" )
if app.config.get_bool( 'enable_job_recovery', True ):
self.__check_jobs_at_startup()
@@ -132,7 +132,7 @@
def __monitor( self ):
"""
- Continually iterate the waiting jobs, checking is each is ready to
+ Continually iterate the waiting jobs, checking is each is ready to
run and dispatching if so.
"""
# HACK: Delay until after forking, we need a way to do post fork notification!!!
@@ -180,12 +180,12 @@
jobs_to_check.append( self.sa_session.query( model.Job ).get( job_id ) )
except Empty:
pass
- # Iterate over new and waiting jobs and look for any that are
+ # Iterate over new and waiting jobs and look for any that are
# ready to run
new_waiting_jobs = []
for job in jobs_to_check:
try:
- # Check the job's dependencies, requeue if they're not done
+ # Check the job's dependencies, requeue if they're not done
job_state = self.__check_if_ready_to_run( job )
if job_state == JOB_WAIT:
if not self.track_jobs_in_database:
@@ -216,7 +216,7 @@
self.waiting_jobs = new_waiting_jobs
# Done with the session
self.sa_session.remove()
-
+
def __check_if_ready_to_run( self, job ):
"""
Check if a job is ready to run by verifying that each of its input
@@ -281,13 +281,13 @@
if len( user_jobs ) >= self.app.config.user_job_limit:
return JOB_WAIT
return JOB_READY
-
+
def put( self, job_id, tool ):
"""Add a job to the queue (by job identifier)"""
if not self.track_jobs_in_database:
self.queue.put( ( job_id, tool.id ) )
self.sleeper.wake()
-
+
def shutdown( self ):
"""Attempts to gracefully shut down the worker thread"""
if self.parent_pid != os.getpid():
@@ -304,7 +304,7 @@
class JobWrapper( object ):
"""
- Wraps a 'model.Job' with convenience methods for running processes and
+ Wraps a 'model.Job' with convenience methods for running processes and
state management.
"""
def __init__( self, job, queue ):
@@ -330,15 +330,15 @@
self.output_dataset_paths = None
self.tool_provided_job_metadata = None
# Wrapper holding the info required to restore and clean up from files used for setting metadata externally
- self.external_output_metadata = metadata.JobExternalOutputMetadataWrapper( job )
-
+ self.external_output_metadata = metadata.JobExternalOutputMetadataWrapper( job )
+
def get_job( self ):
return self.sa_session.query( model.Job ).get( self.job_id )
-
+
def get_id_tag(self):
# For compatability with drmaa, which uses job_id right now, and TaskWrapper
return str(self.job_id)
-
+
def get_param_dict( self ):
"""
Restore the dictionary of parameters from the database.
@@ -347,10 +347,10 @@
param_dict = dict( [ ( p.name, p.value ) for p in job.parameters ] )
param_dict = self.tool.params_from_strings( param_dict, self.app )
return param_dict
-
+
def get_version_string_path( self ):
return os.path.abspath(os.path.join(self.app.config.new_file_path, "GALAXY_VERSION_STRING_%s" % self.job_id))
-
+
def prepare( self ):
"""
Prepare the job to run by creating the working directory and the
@@ -372,9 +372,9 @@
out_data = dict( [ ( da.name, da.dataset ) for da in job.output_datasets ] )
inp_data.update( [ ( da.name, da.dataset ) for da in job.input_library_datasets ] )
out_data.update( [ ( da.name, da.dataset ) for da in job.output_library_datasets ] )
-
- # Set up output dataset association for export history jobs. Because job
- # uses a Dataset rather than an HDA or LDA, it's necessary to set up a
+
+ # Set up output dataset association for export history jobs. Because job
+ # uses a Dataset rather than an HDA or LDA, it's necessary to set up a
# fake dataset association that provides the needed attributes for
# preparing a job.
class FakeDatasetAssociation ( object ):
@@ -401,7 +401,7 @@
# ( this used to be performed in the "exec_before_job" hook, but hooks are deprecated ).
self.tool.exec_before_job( self.queue.app, inp_data, out_data, param_dict )
# Run the before queue ("exec_before_job") hook
- self.tool.call_hook( 'exec_before_job', self.queue.app, inp_data=inp_data,
+ self.tool.call_hook( 'exec_before_job', self.queue.app, inp_data=inp_data,
out_data=out_data, tool=self.tool, param_dict=incoming)
self.sa_session.flush()
# Build any required config files
@@ -434,7 +434,7 @@
def fail( self, message, exception=False ):
"""
- Indicate job failure by setting state and message on all output
+ Indicate job failure by setting state and message on all output
datasets.
"""
job = self.get_job()
@@ -480,7 +480,7 @@
if self.tool:
self.tool.job_failed( self, message, exception )
self.cleanup()
-
+
def change_state( self, state, info = False ):
job = self.get_job()
self.sa_session.refresh( job )
@@ -510,12 +510,12 @@
job.job_runner_external_id = external_id
self.sa_session.add( job )
self.sa_session.flush()
-
+
def finish( self, stdout, stderr ):
"""
- Called to indicate that the associated command has been run. Updates
+ Called to indicate that the associated command has been run. Updates
the output datasets based on stderr and stdout from the command, and
- the contents of the output files.
+ the contents of the output files.
"""
# default post job setup
self.sa_session.expunge_all()
@@ -537,7 +537,7 @@
if os.path.exists(version_filename):
self.version_string = open(version_filename).read()
os.unlink(version_filename)
-
+
if self.app.config.outputs_to_working_directory:
for dataset_path in self.get_output_fnames():
try:
@@ -585,7 +585,7 @@
else:
# Security violation.
log.exception( "from_work_dir specified a location not in the working directory: %s, %s" % ( source_file, self.working_directory ) )
-
+
dataset.blurb = 'done'
dataset.peek = 'no peek'
dataset.info = context['stdout'] + context['stderr']
@@ -600,7 +600,7 @@
dataset.init_meta( copy_from=dataset )
#if a dataset was copied, it won't appear in our dictionary:
#either use the metadata from originating output dataset, or call set_meta on the copies
- #it would be quicker to just copy the metadata from the originating output dataset,
+ #it would be quicker to just copy the metadata from the originating output dataset,
#but somewhat trickier (need to recurse up the copied_from tree), for now we'll call set_meta()
if not self.app.config.set_metadata_externally or \
( not self.external_output_metadata.external_metadata_set_successfully( dataset, self.sa_session ) \
@@ -612,7 +612,7 @@
#load metadata from file
#we need to no longer allow metadata to be edited while the job is still running,
#since if it is edited, the metadata changed on the running output will no longer match
- #the metadata that was stored to disk for use via the external process,
+ #the metadata that was stored to disk for use via the external process,
#and the changes made by the user will be lost, without warning or notice
dataset.metadata.from_JSON_dict( self.external_output_metadata.get_output_filenames_by_dataset( dataset, self.sa_session ).filename_out )
try:
@@ -653,13 +653,13 @@
# Flush all the dataset and job changes above. Dataset state changes
# will now be seen by the user.
self.sa_session.flush()
- # Save stdout and stderr
+ # Save stdout and stderr
if len( stdout ) > 32768:
log.error( "stdout for job %d is greater than 32K, only first part will be logged to database" % job.id )
job.stdout = stdout[:32768]
if len( stderr ) > 32768:
log.error( "stderr for job %d is greater than 32K, only first part will be logged to database" % job.id )
- job.stderr = stderr[:32768]
+ job.stderr = stderr[:32768]
# custom post process setup
inp_data = dict( [ ( da.name, da.dataset ) for da in job.input_datasets ] )
out_data = dict( [ ( da.name, da.dataset ) for da in job.output_datasets ] )
@@ -676,8 +676,8 @@
# ( this used to be performed in the "exec_after_process" hook, but hooks are deprecated ).
self.tool.exec_after_process( self.queue.app, inp_data, out_data, param_dict, job = job )
# Call 'exec_after_process' hook
- self.tool.call_hook( 'exec_after_process', self.queue.app, inp_data=inp_data,
- out_data=out_data, param_dict=param_dict,
+ self.tool.call_hook( 'exec_after_process', self.queue.app, inp_data=inp_data,
+ out_data=out_data, param_dict=param_dict,
tool=self.tool, stdout=stdout, stderr=stderr )
job.command_line = self.command_line
@@ -696,7 +696,7 @@
self.sa_session.flush()
log.debug( 'job %d ended' % self.job_id )
self.cleanup()
-
+
def cleanup( self ):
# remove temporary files
try:
@@ -710,10 +710,10 @@
galaxy.tools.imp_exp.JobImportHistoryArchiveWrapper( self.job_id ).cleanup_after_job( self.sa_session )
except:
log.exception( "Unable to cleanup job %d" % self.job_id )
-
+
def get_command_line( self ):
return self.command_line
-
+
def get_session_id( self ):
return self.session_id
@@ -884,13 +884,17 @@
Should be refactored into a generalized executable unit wrapper parent, then jobs and tasks.
"""
# Abstract this to be more useful for running tasks that *don't* necessarily compose a job.
-
+
def __init__(self, task, queue):
super(TaskWrapper, self).__init__(task.job, queue)
self.task_id = task.id
self.working_directory = task.working_directory
+ if task.prepare_input_files_cmd is not None:
+ self.prepare_input_files_cmds = [ task.prepare_input_files_cmd ]
+ else:
+ self.prepare_input_files_cmds = None
self.status = task.states.NEW
-
+
def get_job( self ):
if self.job_id:
return self.sa_session.query( model.Job ).get( self.job_id )
@@ -953,7 +957,7 @@
# ( this used to be performed in the "exec_before_job" hook, but hooks are deprecated ).
self.tool.exec_before_job( self.queue.app, inp_data, out_data, param_dict )
# Run the before queue ("exec_before_job") hook
- self.tool.call_hook( 'exec_before_job', self.queue.app, inp_data=inp_data,
+ self.tool.call_hook( 'exec_before_job', self.queue.app, inp_data=inp_data,
out_data=out_data, tool=self.tool, param_dict=incoming)
self.sa_session.flush()
# Build any required config files
@@ -1000,12 +1004,12 @@
task.state = state
self.sa_session.add( task )
self.sa_session.flush()
-
+
def get_state( self ):
task = self.get_task()
self.sa_session.refresh( task )
return task.state
-
+
def set_runner( self, runner_url, external_id ):
task = self.get_task()
self.sa_session.refresh( task )
@@ -1014,15 +1018,15 @@
# DBTODO Check task job_runner_stuff
self.sa_session.add( task )
self.sa_session.flush()
-
+
def finish( self, stdout, stderr ):
# DBTODO integrate previous finish logic.
# Simple finish for tasks. Just set the flag OK.
log.debug( 'task %s for job %d ended' % (self.task_id, self.job_id) )
"""
- Called to indicate that the associated command has been run. Updates
+ Called to indicate that the associated command has been run. Updates
the output datasets based on stderr and stdout from the command, and
- the contents of the output files.
+ the contents of the output files.
"""
# default post job setup_external_metadata
self.sa_session.expunge_all()
@@ -1039,7 +1043,7 @@
task.state = task.states.ERROR
else:
task.state = task.states.OK
- # Save stdout and stderr
+ # Save stdout and stderr
if len( stdout ) > 32768:
log.error( "stdout for task %d is greater than 32K, only first part will be logged to database" % task.id )
task.stdout = stdout[:32768]
@@ -1053,7 +1057,7 @@
def cleanup( self ):
# There is no task cleanup. The job cleans up for all tasks.
pass
-
+
def get_command_line( self ):
return self.command_line
@@ -1063,7 +1067,7 @@
def get_output_file_id( self, file ):
# There is no permanent output file for tasks.
return None
-
+
def get_tool_provided_job_metadata( self ):
# DBTODO Handle this as applicable for tasks.
return None
@@ -1085,7 +1089,7 @@
def setup_external_metadata( self, exec_dir = None, tmp_dir = None, dataset_files_path = None, config_root = None, datatypes_config = None, set_extension = True, **kwds ):
# There is no metadata setting for tasks. This is handled after the merge, at the job level.
return ""
-
+
class DefaultJobDispatcher( object ):
def __init__( self, app ):
self.app = app
@@ -1115,7 +1119,7 @@
runner = getattr( module, obj )
self.job_runners[name] = runner( self.app )
log.debug( 'Loaded job runner: %s' % display_name )
-
+
def put( self, job_wrapper ):
try:
if self.app.config.use_tasked_jobs and job_wrapper.tool.parallelism is not None:
@@ -1126,8 +1130,8 @@
self.job_runners[runner_name].put( job_wrapper )
else:
runner_name = "tasks"
- log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
- self.job_runners[runner_name].put( job_wrapper )
+ log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
+ self.job_runners[runner_name].put( job_wrapper )
else:
runner_name = ( job_wrapper.tool.job_runner.split(":", 1) )[0]
log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
@@ -1183,7 +1187,7 @@
self.sleeper = Sleeper()
self.running = True
self.monitor_thread = threading.Thread( target=self.monitor )
- self.monitor_thread.start()
+ self.monitor_thread.start()
log.info( "job stopper started" )
def monitor( self ):
@@ -1263,4 +1267,3 @@
return
def shutdown( self ):
return
-
--- a/lib/galaxy/jobs/runners/__init__.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/jobs/runners/__init__.py Fri Oct 07 14:12:40 2011 -0700
@@ -6,6 +6,7 @@
Compose the sequence of commands necessary to execute a job. This will
currently include:
- environment settings corresponding to any requirement tags
+ - preparing input files
- command line taken from job wrapper
- commands to set metadata (if include_metadata is True)
"""
@@ -17,10 +18,13 @@
# Prepend version string
if job_wrapper.version_string_cmd:
commands = "%s &> %s; " % ( job_wrapper.version_string_cmd, job_wrapper.get_version_string_path() ) + commands
+ # prepend getting input files (if defined)
+ if hasattr(job_wrapper, 'prepare_input_files_cmds') and job_wrapper.prepare_input_files_cmds is not None:
+ commands = "; ".join( job_wrapper.prepare_input_files_cmds + [ commands ] )
# Prepend dependency injection
if job_wrapper.dependency_shell_commands:
commands = "; ".join( job_wrapper.dependency_shell_commands + [ commands ] )
-
+
# Append metadata setting commands, we don't want to overwrite metadata
# that was copied over in init_meta(), as per established behavior
if include_metadata and self.app.config.set_metadata_externally:
--- a/lib/galaxy/jobs/runners/lwr.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/jobs/runners/lwr.py Fri Oct 07 14:12:40 2011 -0700
@@ -249,6 +249,12 @@
try:
job_wrapper.prepare()
+ if hasattr(job_wrapper, 'prepare_input_files_cmds') and job_wrapper.prepare_input_files_cmds is not None:
+ for cmd in job_wrapper.prepare_input_file_cmds: # run the commands to stage the input files
+ #log.debug( 'executing: %s' % cmd )
+ if 0 != os.system(cmd):
+ raise Exception('Error running file staging command: %s' % cmd)
+ job_wrapper.prepare_input_files_cmds = None # prevent them from being used in-line
command_line = self.build_command_line( job_wrapper, include_metadata=False )
except:
job_wrapper.fail( "failure preparing job", exception=True )
--- a/lib/galaxy/jobs/splitters/multi.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/jobs/splitters/multi.py Fri Oct 07 14:12:40 2011 -0700
@@ -1,5 +1,6 @@
import os, logging, shutil
-from galaxy import model
+from galaxy import model, util
+
log = logging.getLogger( __name__ )
@@ -54,7 +55,7 @@
raise Exception(log_error)
# split the first one to build up the task directories
- input_files = []
+ input_datasets = []
for input in parent_job.input_datasets:
if input.name in split_inputs:
this_input_files = job_wrapper.get_input_dataset_fnames(input.dataset)
@@ -62,13 +63,13 @@
log_error = "The input '%s' is composed of multiple files - splitting is not allowed" % str(input.name)
log.error(log_error)
raise Exception(log_error)
- input_files.extend(this_input_files)
+ input_datasets.append(input.dataset)
input_type = type_to_input_map.keys()[0]
# DBTODO execute an external task to do the splitting, this should happen at refactor.
# If the number of tasks is sufficiently high, we can use it to calculate job completion % and give a running status.
try:
- input_type.split(input_files, get_new_working_directory_name, parallel_settings)
+ input_type.split(input_datasets, get_new_working_directory_name, parallel_settings)
except AttributeError:
log_error = "The type '%s' does not define a method for splitting files" % str(input_type)
log.error(log_error)
@@ -82,8 +83,9 @@
for file in names:
os.symlink(file, os.path.join(dir, os.path.basename(file)))
tasks = []
+ prepare_files = os.path.join(util.galaxy_directory(), 'extract_dataset_parts.sh') + ' %s'
for dir in task_dirs:
- task = model.Task(parent_job, dir)
+ task = model.Task(parent_job, dir, prepare_files % dir)
tasks.append(task)
return tasks
@@ -106,44 +108,51 @@
illegal_outputs = [x for x in merge_outputs if x in pickone_outputs]
if len(illegal_outputs) > 0:
- raise Exception("Outputs have conflicting parallelism attributes: %s" % str( illegal_outputs ))
+ return ('Tool file error', 'Outputs have conflicting parallelism attributes: %s' % str( illegal_outputs ))
+
+ stdout = ''
+ stderr = ''
+
+ try:
+ working_directory = job_wrapper.working_directory
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ # TODO: Output datasets can be very complex. This doesn't handle metadata files
+ outputs = job_wrapper.get_output_datasets_and_fnames()
+ pickone_done = []
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ for output in outputs:
+ output_file_name = str(outputs[output][1])
+ base_output_name = os.path.basename(output_file_name)
+ if output in merge_outputs:
+ output_type = outputs[output][0].datatype
+ output_files = [os.path.join(dir,base_output_name) for dir in task_dirs]
+ log.debug('files %s ' % output_files)
+ output_type.merge(output_files, output_file_name)
+ log.debug('merge finished: %s' % output_file_name)
+ pass # TODO: merge all the files
+ elif output in pickone_outputs:
+ # just pick one of them
+ if output not in pickone_done:
+ task_file_name = os.path.join(task_dirs[0], base_output_name)
+ shutil.move( task_file_name, output_file_name )
+ pickone_done.append(output)
+ else:
+ log_error = "The output '%s' does not define a method for implementing parallelism" % output
+ log.error(log_error)
+ raise Exception(log_error)
+ except Exception, e:
+ stdout = 'Error merging files';
+ stderr = str(e)
+
-
- working_directory = job_wrapper.working_directory
- task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
- # TODO: Output datasets can be very complex. This doesn't handle metadata files
- outputs = job_wrapper.get_output_datasets_and_fnames()
- pickone_done = []
- task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
- for output in outputs:
- output_file_name = str(outputs[output][1])
- base_output_name = os.path.basename(output_file_name)
- if output in merge_outputs:
- output_type = outputs[output][0].datatype
- output_files = [os.path.join(dir,base_output_name) for dir in task_dirs]
- log.debug('files %s ' % output_files)
- output_type.merge(output_files, output_file_name)
- log.debug('merge finished: %s' % output_file_name)
- pass # TODO: merge all the files
- elif output in pickone_outputs:
- # just pick one of them
- if output not in pickone_done:
- task_file_name = os.path.join(task_dirs[0], base_output_name)
- shutil.move( task_file_name, output_file_name )
- pickone_done.append(output)
- else:
- log_error = "The output '%s' does not define a method for implementing parallelism" % output
- log.error(log_error)
- raise Exception(log_error)
-
- stdout = ''
- stderr=''
for tw in task_wrappers:
# Prevent repetitive output, e.g. "Sequence File Aligned"x20
# Eventually do a reduce for jobs that output "N reads mapped", combining all N for tasks.
- if stdout.strip() != tw.get_task().stdout.strip():
- stdout += tw.get_task().stdout
- if stderr.strip() != tw.get_task().stderr.strip():
- stderr += tw.get_task().stderr
+ out = tw.get_task().stdout.strip()
+ err = tw.get_task().stderr.strip()
+ if len(out) > 0:
+ stdout += tw.working_directory + ':\n' + out
+ if len(err) > 0:
+ stderr += tw.working_directory + ':\n' + err
return (stdout, stderr)
--- a/lib/galaxy/model/__init__.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/model/__init__.py Fri Oct 07 14:12:40 2011 -0700
@@ -204,29 +204,19 @@
ERROR = 'error',
DELETED = 'deleted' )
- def __init__( self, job, part_file = None ):
+ def __init__( self, job, working_directory, prepare_files_cmd ):
self.command_line = None
self.parameters = []
self.state = Task.states.NEW
self.info = None
- # TODO: Rename this to working_directory
- # Does this necessitate a DB migration step?
- self.part_file = part_file
+ self.working_directory = working_directory
self.task_runner_name = None
self.task_runner_external_id = None
self.job = job
self.stdout = None
self.stderr = None
+ self.prepare_input_files_cmd = prepare_files_cmd
- @property
- def working_directory(self):
- if self.part_file is not None:
- if not os.path.isdir(self.part_file):
- return os.path.dirname(self.part_file)
- else:
- return self.part_file
- return None
-
def set_state( self, state ):
self.state = state
@@ -907,7 +897,9 @@
def get_converted_files_by_type( self, file_type ):
for assoc in self.implicitly_converted_datasets:
if not assoc.deleted and assoc.type == file_type:
- return assoc.dataset
+ if assoc.dataset:
+ return assoc.dataset
+ return assoc.dataset_ldda
return None
def get_converted_dataset_deps(self, trans, target_ext):
"""
@@ -1599,7 +1591,12 @@
class ImplicitlyConvertedDatasetAssociation( object ):
def __init__( self, id = None, parent = None, dataset = None, file_type = None, deleted = False, purged = False, metadata_safe = True ):
self.id = id
- self.dataset = dataset
+ if isinstance(dataset, HistoryDatasetAssociation):
+ self.dataset = dataset
+ elif isinstance(dataset, LibraryDatasetDatasetAssociation):
+ self.dataset_ldda = dataset
+ else:
+ raise AttributeError, 'Unknown dataset type provided for dataset: %s' % type( dataset )
if isinstance(parent, HistoryDatasetAssociation):
self.parent_hda = parent
elif isinstance(parent, LibraryDatasetDatasetAssociation):
--- a/lib/galaxy/model/mapping.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/model/mapping.py Fri Oct 07 14:12:40 2011 -0700
@@ -148,6 +148,7 @@
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, default=now, onupdate=now ),
Column( "hda_id", Integer, ForeignKey( "history_dataset_association.id" ), index=True, nullable=True ),
+ Column( "ldda_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True, nullable=True ),
Column( "hda_parent_id", Integer, ForeignKey( "history_dataset_association.id" ), index=True ),
Column( "ldda_parent_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True ),
Column( "deleted", Boolean, index=True, default=False ),
@@ -469,9 +470,10 @@
Column( "stderr", TEXT ),
Column( "traceback", TEXT ),
Column( "job_id", Integer, ForeignKey( "job.id" ), index=True, nullable=False ),
- Column( "part_file", String(1024)),
+ Column( "working_directory", String(1024)),
Column( "task_runner_name", String( 255 ) ),
- Column( "task_runner_external_id", String( 255 ) ) )
+ Column( "task_runner_external_id", String( 255 ) ),
+ Column( "prepare_input_files_cmd", TEXT ) )
PostJobAction.table = Table("post_job_action", metadata,
Column("id", Integer, primary_key=True),
@@ -1211,6 +1213,9 @@
LibraryDatasetDatasetAssociation,
primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.ldda_parent_id == LibraryDatasetDatasetAssociation.table.c.id ) ),
+ dataset_ldda=relation(
+ LibraryDatasetDatasetAssociation,
+ primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.ldda_id == LibraryDatasetDatasetAssociation.table.c.id ) ),
dataset=relation(
HistoryDatasetAssociation,
primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.hda_id == HistoryDatasetAssociation.table.c.id ) ) ) )
@@ -1594,7 +1599,7 @@
annotations=relation( PageAnnotationAssociation, order_by=PageAnnotationAssociation.table.c.id, backref="pages" ),
ratings=relation( PageRatingAssociation, order_by=PageRatingAssociation.table.c.id, backref="pages" )
) )
-
+
assign_mapper( context, ToolShedRepository, ToolShedRepository.table )
# Set up proxy so that
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0083_add_prepare_files_to_task.py Fri Oct 07 14:12:40 2011 -0700
@@ -0,0 +1,63 @@
+"""
+Migration script to add 'prepare_input_files_cmd' column to the task table and to rename a column.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "prepare_input_files_cmd", TEXT, nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.prepare_input_files_cmd
+ except Exception, e:
+ print "Adding prepare_input_files_cmd column to task table failed: %s" % str( e )
+ log.debug( "Adding prepare_input_files_cmd column to task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "working_directory", String ( 1024 ), nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.working_directory
+ except Exception, e:
+ print "Adding working_directory column to task table failed: %s" % str( e )
+ log.debug( "Adding working_directory column to task table failed: %s" % str( e ) )
+
+ # remove the 'part_file' column - nobody used tasks before this, so no data needs to be migrated
+ try:
+ task_table.c.part_file.drop()
+ except Exception, e:
+ log.debug( "Deleting column 'part_file' from the 'task' table failed: %s" % ( str( e ) ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.prepare_input_files_cmd.drop()
+ except Exception, e:
+ print "Dropping prepare_input_files_cmd column from task table failed: %s" % str( e )
+ log.debug( "Dropping prepare_input_files_cmd column from task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.working_directory.drop()
+ except Exception, e:
+ print "Dropping working_directory column from task table failed: %s" % str( e )
+ log.debug( "Dropping working_directory column from task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "part_file", String ( 1024 ), nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.part_file
+ except Exception, e:
+ print "Adding part_file column to task table failed: %s" % str( e )
+ log.debug( "Adding part_file column to task table failed: %s" % str( e ) )
--- a/lib/galaxy/util/__init__.py Fri Oct 07 13:25:19 2011 -0700
+++ b/lib/galaxy/util/__init__.py Fri Oct 07 14:12:40 2011 -0700
@@ -623,6 +623,9 @@
gbrowse_build_sites = read_build_sites( os.path.join( galaxy_root_path, "tool-data", "shared", "gbrowse", "gbrowse_build_sites.txt" ) )
genetrack_sites = read_build_sites( os.path.join( galaxy_root_path, "tool-data", "shared", "genetrack", "genetrack_sites.txt" ), check_builds=False )
+def galaxy_directory():
+ return os.path.abspath(galaxy_root_path)
+
if __name__ == '__main__':
import doctest, sys
doctest.testmod(sys.modules[__name__], verbose=False)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/extract_dataset_part.py Fri Oct 07 14:12:40 2011 -0700
@@ -0,0 +1,48 @@
+"""
+Reads a JSON file and uses it to call into a datatype class to extract
+a subset of a dataset for processing.
+
+Used by jobs that split large files into pieces to be processed concurrently
+on a gid in a scatter-gather mode. This does part of the scatter.
+
+"""
+import os
+import sys
+import logging
+logging.basicConfig()
+log = logging.getLogger( __name__ )
+
+new_path = [ os.path.join( os.getcwd(), "lib" ) ]
+new_path.extend( sys.path[1:] ) # remove scripts/ from the path
+sys.path = new_path
+
+from galaxy import eggs
+import pkg_resources
+pkg_resources.require("simplejson")
+import simplejson
+
+# This junk is here to prevent loading errors
+import galaxy.model.mapping #need to load this before we unpickle, in order to setup properties assigned by the mappers
+galaxy.model.Job() #this looks REAL stupid, but it is REQUIRED in order for SA to insert parameters into the classes defined by the mappers --> it appears that instantiating ANY mapper'ed class would suffice here
+galaxy.datatypes.metadata.DATABASE_CONNECTION_AVAILABLE = False #Let metadata know that there is no database connection, and to just assume object ids are valid
+
+def __main__():
+ """
+ Argument: a JSON file
+ """
+ file_path = sys.argv.pop( 1 )
+ data = simplejson.load(open(file_path, 'r'))
+ try:
+ class_name_parts = data['class_name'].split('.')
+ module_name = '.'.join(class_name_parts[:-1])
+ class_name = class_name_parts[-1]
+ mod = __import__(module_name, globals(), locals(), [class_name])
+ cls = getattr(mod, class_name)
+ if not cls.process_split_file(data):
+ sys.stderr.write('Writing split file failed\n')
+ sys.exit(1)
+ except Exception, e:
+ sys.stderr.write(str(e))
+ sys.exit(1)
+
+__main__()
http://bitbucket.org/galaxy/galaxy-central/changeset/5b65ae5d04f3/
changeset: 5b65ae5d04f3
user: John Duddy
date: 2011-10-10 21:07:19
summary: Fix missing columns for Task, add migration to add ldda for associated types
affected #: 3 files (-1 bytes)
--- a/lib/galaxy/model/mapping.py Fri Oct 07 14:12:40 2011 -0700
+++ b/lib/galaxy/model/mapping.py Mon Oct 10 12:07:19 2011 -0700
@@ -468,6 +468,7 @@
Column( "runner_name", String( 255 ) ),
Column( "stdout", TEXT ),
Column( "stderr", TEXT ),
+ Column( "info", TrimmedString ( 255 ) ),
Column( "traceback", TEXT ),
Column( "job_id", Integer, ForeignKey( "job.id" ), index=True, nullable=False ),
Column( "working_directory", String(1024)),
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0084_add_ldda_id_to_implicit_conversion_table.py Mon Oct 10 12:07:19 2011 -0700
@@ -0,0 +1,35 @@
+"""
+Migration script to add 'ldda_id' column to the implicitly_converted_dataset_association table.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ Implicitly_converted_table = Table( "implicitly_converted_dataset_association", metadata, autoload=True )
+ c = Column( "ldda_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True, nullable=True )
+ c.create( Implicitly_converted_table )
+ assert c is Implicitly_converted_table.c.ldda_id
+ except Exception, e:
+ print "Adding ldda_id column to implicitly_converted_dataset_association table failed: %s" % str( e )
+ log.debug( "Adding ldda_id column to implicitly_converted_dataset_association table failed: %s" % str( e ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ Implicitly_converted_table = Table( "implicitly_converted_dataset_association", metadata, autoload=True )
+ Implicitly_converted_table.c.ldda_id.drop()
+ except Exception, e:
+ print "Dropping ldda_id column from implicitly_converted_dataset_association table failed: %s" % str( e )
+ log.debug( "Dropping ldda_id column from implicitly_converted_dataset_association table failed: %s" % str( e ) )
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0085_add_task_info.py Mon Oct 10 12:07:19 2011 -0700
@@ -0,0 +1,35 @@
+"""
+Migration script to add 'info' column to the task table.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "info", TrimmedString (255) , nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.info
+ except Exception, e:
+ print "Adding info column to table table failed: %s" % str( e )
+ log.debug( "Adding info column to task table failed: %s" % str( e ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.info.drop()
+ except Exception, e:
+ print "Dropping info column from task table failed: %s" % str( e )
+ log.debug( "Dropping info column from task table failed: %s" % str( e ) )
http://bitbucket.org/galaxy/galaxy-central/changeset/dc352138c3de/
changeset: dc352138c3de
user: John Duddy
date: 2011-10-10 21:17:57
summary: add FQTOC datatype to drive file splitting
affected #: 4 files (-1 bytes)
--- a/datatypes_conf.xml.sample Mon Oct 10 12:07:19 2011 -0700
+++ b/datatypes_conf.xml.sample Mon Oct 10 12:17:57 2011 -0700
@@ -56,11 +56,22 @@
<converter file="fasta_to_2bit.xml" target_datatype="twobit"/><converter file="fasta_to_len.xml" target_datatype="len"/></datatype>
- <datatype extension="fastq" type="galaxy.datatypes.sequence:Fastq" display_in_upload="true"/>
- <datatype extension="fastqsanger" type="galaxy.datatypes.sequence:FastqSanger" display_in_upload="true"/>
- <datatype extension="fastqsolexa" type="galaxy.datatypes.sequence:FastqSolexa" display_in_upload="true"/>
- <datatype extension="fastqcssanger" type="galaxy.datatypes.sequence:FastqCSSanger" display_in_upload="true"/>
- <datatype extension="fastqillumina" type="galaxy.datatypes.sequence:FastqIllumina" display_in_upload="true"/>
+ <datatype extension="fastq" type="galaxy.datatypes.sequence:Fastq" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqsanger" type="galaxy.datatypes.sequence:FastqSanger" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqsolexa" type="galaxy.datatypes.sequence:FastqSolexa" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqcssanger" type="galaxy.datatypes.sequence:FastqCSSanger" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqillumina" type="galaxy.datatypes.sequence:FastqIllumina" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fqtoc" type="galaxy.datatypes.sequence:SequenceSplitLocations" display_in_upload="true"/><datatype extension="eland" type="galaxy.datatypes.tabular:Eland" display_in_upload="true"/><datatype extension="elandmulti" type="galaxy.datatypes.tabular:ElandMulti" display_in_upload="true"/><datatype extension="genetrack" type="galaxy.datatypes.tracks:GeneTrack">
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/datatypes/converters/fastq_to_fqtoc.py Mon Oct 10 12:17:57 2011 -0700
@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+
+import sys, os, gzip
+from galaxy.datatypes.checkers import is_gzip
+
+
+def main():
+ """
+ The format of the file is JSON:
+ { "sections" : [
+ { "start" : "x", "end" : "y", "sequences" : "z" },
+ ...
+ ]}
+ This works only for UNCOMPRESSED fastq files. The Python GzipFile does not provide seekable
+ offsets via tell(), so clients just have to split the slow way
+ """
+ input_fname = sys.argv[1]
+ if is_gzip(input_fname):
+ print 'Conversion is only possible for uncompressed files'
+ sys.exit(1)
+
+ out_file = open(sys.argv[2], 'w')
+
+ current_line = 0
+ sequences=1000000
+ lines_per_chunk = 4*sequences
+ chunk_begin = 0
+
+ in_file = open(input_name)
+
+ out_file.write('{"sections" : [');
+
+ for line in in_file:
+ current_line += 1
+ if 0 == current_line % lines_per_chunk:
+ chunk_end = in_file.tell()
+ out_file.write('{"start":"%s","end":"%s","sequences":"%s"},' % (chunk_begin, chunk_end, sequences))
+ chunk_begin = chunk_end
+
+ chunk_end = in_file.tell()
+ out_file.write('{"start":"%s","end":"%s","sequences":"%s"}' % (chunk_begin, chunk_end, (current_line % lines_per_chunk) / 4))
+ out_file.write(']}\n')
+
+
+if __name__ == "__main__":
+ main()
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/datatypes/converters/fastq_to_fqtoc.xml Mon Oct 10 12:17:57 2011 -0700
@@ -0,0 +1,13 @@
+<tool id="CONVERTER_fastq_to_fqtoc0" name="Convert FASTQ files to seek locations" version="1.0.0" hidden="true">
+ <command interpreter="python">fastq_to_fqtoc.py $input1 $output1</command>
+ <inputs>
+ <page>
+ <param format="fastq" name="input1" type="data" label="Choose FASTQ file"/>
+ </page>
+ </inputs>
+ <outputs>
+ <data format="fqtoc" name="output1"/>
+ </outputs>
+ <help>
+ </help>
+</tool>
--- a/lib/galaxy/datatypes/sequence.py Mon Oct 10 12:07:19 2011 -0700
+++ b/lib/galaxy/datatypes/sequence.py Mon Oct 10 12:17:57 2011 -0700
@@ -27,7 +27,7 @@
one OR an uncompressed file. In the GZIP case, each sub-file's location is stored in start and end.
The format of the file is JSON:
{ "sections" : [
- { "start" : "x", "end" : "y", "clusters" : "z" },
+ { "start" : "x", "end" : "y", "sequences" : "z" },
...
]}
"""
@@ -53,7 +53,7 @@
data = simplejson.load(open(filename))
sections = data['sections']
for section in sections:
- if 'start' not in section or 'end' not in section or 'clusters' not in section:
+ if 'start' not in section or 'end' not in section or 'sequences' not in section:
return False
return True
except:
@@ -96,20 +96,20 @@
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
- def get_sequences_per_file(total_clusters, split_params):
+ def get_sequences_per_file(total_sequences, split_params):
if split_params['split_mode'] == 'number_of_parts':
# legacy basic mode - split into a specified number of parts
parts = int(split_params['split_size'])
- sequences_per_file = [total_clusters/parts for i in range(parts)]
- for i in range(total_clusters % parts):
+ sequences_per_file = [total_sequences/parts for i in range(parts)]
+ for i in range(total_sequences % parts):
sequences_per_file[i] += 1
elif split_params['split_mode'] == 'to_size':
- # loop through the sections and calculate the number of clusters
+ # loop through the sections and calculate the number of sequences
chunk_size = long(split_params['split_size'])
- chunks = total_clusters / chunk_size
- rem = total_clusters % chunk_size
- sequences_per_file = [chunk_size for i in range(total_clusters / chunk_size)]
+ chunks = total_sequences / chunk_size
+ rem = total_sequences % chunk_size
+ sequences_per_file = [chunk_size for i in range(total_sequences / chunk_size)]
# TODO: Should we invest the time in a better way to handle small remainders?
if rem > 0:
sequences_per_file.append(rem)
@@ -119,10 +119,10 @@
get_sequences_per_file = staticmethod(get_sequences_per_file)
def do_slow_split( cls, input_datasets, subdir_generator_function, split_params):
- # count the clusters so we can split
+ # count the sequences so we can split
# TODO: if metadata is present, take the number of lines / 4
if input_datasets[0].metadata is not None and input_datasets[0].metadata.sequences is not None:
- total_clusters = input_datasets[0].metadata.sequences
+ total_sequences = input_datasets[0].metadata.sequences
else:
input_file = input_datasets[0].file_name
compress = is_gzip(input_file)
@@ -136,23 +136,23 @@
# TODO
# Add BufferedReader if python 2.7?
in_file = open(input_file, 'rt')
- total_clusters = long(0)
+ total_sequences = long(0)
for i, line in enumerate(in_file):
- total_clusters += 1
+ total_sequences += 1
in_file.close()
- total_clusters /= 4
+ total_sequences /= 4
- sequences_per_file = cls.get_sequences_per_file(total_clusters, split_params)
+ sequences_per_file = cls.get_sequences_per_file(total_sequences, split_params)
return cls.write_split_files(input_datasets, None, subdir_generator_function, sequences_per_file)
do_slow_split = classmethod(do_slow_split)
def do_fast_split( cls, input_datasets, toc_file_datasets, subdir_generator_function, split_params):
data = simplejson.load(open(toc_file_datasets[0].file_name))
sections = data['sections']
- total_clusters = long(0)
+ total_sequences = long(0)
for section in sections:
- total_clusters += long(section['clusters'])
- sequences_per_file = cls.get_sequences_per_file(total_clusters, split_params)
+ total_sequences += long(section['sequences'])
+ sequences_per_file = cls.get_sequences_per_file(total_sequences, split_params)
return cls.write_split_files(input_datasets, toc_file_datasets, subdir_generator_function, sequences_per_file)
do_fast_split = classmethod(do_fast_split)
@@ -165,7 +165,7 @@
directories.append(dir)
return dir
- # we know how many splits and how many clusters in each. What remains is to write out instructions for the
+ # we know how many splits and how many sequences in each. What remains is to write out instructions for the
# splitting of all the input files. To decouple the format of those instructions from this code, the exact format of
# those instructions is delegated to scripts
start_sequence=0
@@ -241,7 +241,7 @@
"""
Uses a Table of Contents dict, parsed from an FQTOC file, to come up with a set of
shell commands that will extract the parts necessary
- >>> three_sections=[dict(start=0, end=74, clusters=10), dict(start=74, end=148, clusters=10), dict(start=148, end=148+76, clusters=10)]
+ >>> three_sections=[dict(start=0, end=74, sequences=10), dict(start=74, end=148, sequences=10), dict(start=148, end=148+76, sequences=10)]
>>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=0, sequence_count=10)
['dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null >> ./output.gz']
>>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=1, sequence_count=5)
@@ -261,8 +261,8 @@
current_sequence = long(0)
i=0
# skip to the section that contains my starting sequence
- while i < len(sections) and start_sequence >= current_sequence + long(sections[i]['clusters']):
- current_sequence += long(sections[i]['clusters'])
+ while i < len(sections) and start_sequence >= current_sequence + long(sections[i]['sequences']):
+ current_sequence += long(sections[i]['sequences'])
i += 1
if i == len(sections): # bad input data!
raise Exception('No FQTOC section contains starting sequence %s' % start_sequence)
@@ -277,7 +277,7 @@
# we need to extract partial data. So, find the byte offsets of the chunks that contain the data we need
# use a combination of dd (to pull just the right sections out) tail (to skip lines) and head (to get the
# right number of lines
- sequences = long(sections[i]['clusters'])
+ sequences = long(sections[i]['sequences'])
skip_sequences = start_sequence-current_sequence
sequences_to_extract = min(sequence_count, sequences-skip_sequences)
start_copy = long(sections[i]['start'])
@@ -832,4 +832,4 @@
if __name__ == '__main__':
import doctest, sys
- doctest.testmod(sys.modules[__name__])
\ No newline at end of file
+ doctest.testmod(sys.modules[__name__])
http://bitbucket.org/galaxy/galaxy-central/changeset/d226b75b9dbc/
changeset: d226b75b9dbc
user: dannon
date: 2011-10-12 17:19:42
summary: Pull and merge of Task overhaul.
affected #: 20 files (-1 bytes)
--- a/datatypes_conf.xml.sample Mon Oct 10 18:42:31 2011 -0400
+++ b/datatypes_conf.xml.sample Wed Oct 12 11:19:42 2011 -0400
@@ -56,11 +56,22 @@
<converter file="fasta_to_2bit.xml" target_datatype="twobit"/><converter file="fasta_to_len.xml" target_datatype="len"/></datatype>
- <datatype extension="fastq" type="galaxy.datatypes.sequence:Fastq" display_in_upload="true"/>
- <datatype extension="fastqsanger" type="galaxy.datatypes.sequence:FastqSanger" display_in_upload="true"/>
- <datatype extension="fastqsolexa" type="galaxy.datatypes.sequence:FastqSolexa" display_in_upload="true"/>
- <datatype extension="fastqcssanger" type="galaxy.datatypes.sequence:FastqCSSanger" display_in_upload="true"/>
- <datatype extension="fastqillumina" type="galaxy.datatypes.sequence:FastqIllumina" display_in_upload="true"/>
+ <datatype extension="fastq" type="galaxy.datatypes.sequence:Fastq" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqsanger" type="galaxy.datatypes.sequence:FastqSanger" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqsolexa" type="galaxy.datatypes.sequence:FastqSolexa" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqcssanger" type="galaxy.datatypes.sequence:FastqCSSanger" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fastqillumina" type="galaxy.datatypes.sequence:FastqIllumina" display_in_upload="true">
+ <converter file="fastq_to_fqtoc.xml" target_datatype="fqtoc"/>
+ </datatype>
+ <datatype extension="fqtoc" type="galaxy.datatypes.sequence:SequenceSplitLocations" display_in_upload="true"/><datatype extension="eland" type="galaxy.datatypes.tabular:Eland" display_in_upload="true"/><datatype extension="elandmulti" type="galaxy.datatypes.tabular:ElandMulti" display_in_upload="true"/><datatype extension="genetrack" type="galaxy.datatypes.tracks:GeneTrack">
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/extract_dataset_parts.sh Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,8 @@
+#!/bin/sh
+
+cd `dirname $0`
+for file in $1/split_info*.json
+do
+ # echo processing $file
+ python ./scripts/extract_dataset_part.py $file
+done
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/datatypes/converters/fastq_to_fqtoc.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+
+import sys, os, gzip
+from galaxy.datatypes.checkers import is_gzip
+
+
+def main():
+ """
+ The format of the file is JSON:
+ { "sections" : [
+ { "start" : "x", "end" : "y", "sequences" : "z" },
+ ...
+ ]}
+ This works only for UNCOMPRESSED fastq files. The Python GzipFile does not provide seekable
+ offsets via tell(), so clients just have to split the slow way
+ """
+ input_fname = sys.argv[1]
+ if is_gzip(input_fname):
+ print 'Conversion is only possible for uncompressed files'
+ sys.exit(1)
+
+ out_file = open(sys.argv[2], 'w')
+
+ current_line = 0
+ sequences=1000000
+ lines_per_chunk = 4*sequences
+ chunk_begin = 0
+
+ in_file = open(input_name)
+
+ out_file.write('{"sections" : [');
+
+ for line in in_file:
+ current_line += 1
+ if 0 == current_line % lines_per_chunk:
+ chunk_end = in_file.tell()
+ out_file.write('{"start":"%s","end":"%s","sequences":"%s"},' % (chunk_begin, chunk_end, sequences))
+ chunk_begin = chunk_end
+
+ chunk_end = in_file.tell()
+ out_file.write('{"start":"%s","end":"%s","sequences":"%s"}' % (chunk_begin, chunk_end, (current_line % lines_per_chunk) / 4))
+ out_file.write(']}\n')
+
+
+if __name__ == "__main__":
+ main()
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/datatypes/converters/fastq_to_fqtoc.xml Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,13 @@
+<tool id="CONVERTER_fastq_to_fqtoc0" name="Convert FASTQ files to seek locations" version="1.0.0" hidden="true">
+ <command interpreter="python">fastq_to_fqtoc.py $input1 $output1</command>
+ <inputs>
+ <page>
+ <param format="fastq" name="input1" type="data" label="Choose FASTQ file"/>
+ </page>
+ </inputs>
+ <outputs>
+ <data format="fqtoc" name="output1"/>
+ </outputs>
+ <help>
+ </help>
+</tool>
--- a/lib/galaxy/datatypes/data.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/datatypes/data.py Wed Oct 12 11:19:42 2011 -0400
@@ -351,6 +351,22 @@
@property
def has_resolution(self):
return False
+
+
+
+ def merge( split_files, output_file):
+ """
+ TODO: Do we need to merge gzip files using gzjoin? cat seems to work,
+ but might be brittle. Need to revisit this.
+ """
+ if len(split_files) == 1:
+ cmd = 'mv -f %s %s' % ( split_files[0], output_file )
+ else:
+ cmd = 'cat %s > %s' % ( ' '.join(split_files), output_file )
+ result = os.system(cmd)
+ if result != 0:
+ raise Exception('Result %s from %s' % (result, cmd))
+ merge = staticmethod(merge)
class Text( Data ):
file_ext = 'txt'
@@ -446,9 +462,83 @@
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
+ def split( input_files, subdir_generator_function, split_params):
+ """
+ Split the input files by line.
+ """
+ if split_params is None:
+ return
+
+ if len(input_files) > 1:
+ raise Exception("Text file splitting does not support multiple files")
+
+ lines_per_file = None
+ chunk_size = None
+ if split_params['split_mode'] == 'number_of_parts':
+ lines_per_file = []
+ # Computing the length is expensive!
+ def _file_len(fname):
+ i = 0
+ f = open(fname)
+ for i, l in enumerate(f):
+ pass
+ f.close()
+ return i + 1
+ length = _file_len(input_files[0])
+ parts = int(split_params['split_size'])
+ if length < parts:
+ parts = length
+ len_each, remainder = divmod(length, parts)
+ while length > 0:
+ chunk = len_each
+ if remainder > 0:
+ chunk += 1
+ lines_per_file.append(chunk)
+ remainder=- 1
+ length -= chunk
+ elif split_params['split_mode'] == 'to_size':
+ chunk_size = int(split_params['split_size'])
+ else:
+ raise Exception('Unsupported split mode %s' % split_params['split_mode'])
+
+ f = open(input_files[0], 'rt')
+ try:
+ chunk_idx = 0
+ file_done = False
+ part_file = None
+ while not file_done:
+ if lines_per_file is None:
+ this_chunk_size = chunk_size
+ elif chunk_idx < len(lines_per_file):
+ this_chunk_size = lines_per_file[chunk_idx]
+ chunk_idx += 1
+ lines_remaining = this_chunk_size
+ part_file = None
+ while lines_remaining > 0:
+ a_line = f.readline()
+ if a_line == '':
+ file_done = True
+ break
+ if part_file is None:
+ part_dir = subdir_generator_function()
+ part_path = os.path.join(part_dir, os.path.basename(input_files[0]))
+ part_file = open(part_path, 'w')
+ part_file.write(a_line)
+ lines_remaining -= 1
+ if part_file is not None:
+ part_file.close()
+ except Exception, e:
+ log.error('Unable to split files: %s' % str(e))
+ f.close()
+ if part_file is not None:
+ part_file.close()
+ raise
+ f.close()
+ split = staticmethod(split)
+
class LineCount( Text ):
- """
- Dataset contains a single line with a single integer that denotes the
+ """
+ Dataset contains a single line with a single integer that denotes the
line count for a related dataset. Used for custom builds.
"""
pass
--- a/lib/galaxy/datatypes/sequence.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/datatypes/sequence.py Wed Oct 12 11:19:42 2011 -0400
@@ -2,10 +2,12 @@
Sequence classes
"""
+import gzip
import data
import logging
import re
import string
+import os
from cgi import escape
from galaxy.datatypes.metadata import MetadataElement
from galaxy.datatypes import metadata
@@ -13,8 +15,52 @@
from galaxy import util
from sniff import *
+import pkg_resources
+pkg_resources.require("simplejson")
+import simplejson
+
log = logging.getLogger(__name__)
+class SequenceSplitLocations( data.Text ):
+ """
+ Class storing information about a sequence file composed of multiple gzip files concatenated as
+ one OR an uncompressed file. In the GZIP case, each sub-file's location is stored in start and end.
+ The format of the file is JSON:
+ { "sections" : [
+ { "start" : "x", "end" : "y", "sequences" : "z" },
+ ...
+ ]}
+ """
+ def set_peek( self, dataset, is_multi_byte=False ):
+ if not dataset.dataset.purged:
+ try:
+ parsed_data = simplejson.load(open(dataset.file_name))
+ # dataset.peek = simplejson.dumps(data, sort_keys=True, indent=4)
+ dataset.peek = data.get_file_peek( dataset.file_name, is_multi_byte=is_multi_byte )
+ dataset.blurb = '%d sections' % len(parsed_data['sections'])
+ except Exception, e:
+ dataset.peek = 'Not FQTOC file'
+ dataset.blurb = 'Not FQTOC file'
+ else:
+ dataset.peek = 'file does not exist'
+ dataset.blurb = 'file purged from disk'
+
+ file_ext = "fqtoc"
+
+ def sniff( self, filename ):
+ if os.path.getsize(filename) < 50000:
+ try:
+ data = simplejson.load(open(filename))
+ sections = data['sections']
+ for section in sections:
+ if 'start' not in section or 'end' not in section or 'sequences' not in section:
+ return False
+ return True
+ except:
+ pass
+ return False
+
+
class Sequence( data.Text ):
"""Class describing a sequence"""
@@ -50,6 +96,239 @@
dataset.peek = 'file does not exist'
dataset.blurb = 'file purged from disk'
+ def get_sequences_per_file(total_sequences, split_params):
+ if split_params['split_mode'] == 'number_of_parts':
+ # legacy basic mode - split into a specified number of parts
+ parts = int(split_params['split_size'])
+ sequences_per_file = [total_sequences/parts for i in range(parts)]
+ for i in range(total_sequences % parts):
+ sequences_per_file[i] += 1
+ elif split_params['split_mode'] == 'to_size':
+ # loop through the sections and calculate the number of sequences
+ chunk_size = long(split_params['split_size'])
+
+ chunks = total_sequences / chunk_size
+ rem = total_sequences % chunk_size
+ sequences_per_file = [chunk_size for i in range(total_sequences / chunk_size)]
+ # TODO: Should we invest the time in a better way to handle small remainders?
+ if rem > 0:
+ sequences_per_file.append(rem)
+ else:
+ raise Exception('Unsupported split mode %s' % split_params['split_mode'])
+ return sequences_per_file
+ get_sequences_per_file = staticmethod(get_sequences_per_file)
+
+ def do_slow_split( cls, input_datasets, subdir_generator_function, split_params):
+ # count the sequences so we can split
+ # TODO: if metadata is present, take the number of lines / 4
+ if input_datasets[0].metadata is not None and input_datasets[0].metadata.sequences is not None:
+ total_sequences = input_datasets[0].metadata.sequences
+ else:
+ input_file = input_datasets[0].file_name
+ compress = is_gzip(input_file)
+ if compress:
+ # gzip is really slow before python 2.7!
+ in_file = gzip.GzipFile(input_file, 'r')
+ else:
+ # TODO
+ # if a file is not compressed, seek locations can be calculated and stored
+ # ideally, this would be done in metadata
+ # TODO
+ # Add BufferedReader if python 2.7?
+ in_file = open(input_file, 'rt')
+ total_sequences = long(0)
+ for i, line in enumerate(in_file):
+ total_sequences += 1
+ in_file.close()
+ total_sequences /= 4
+
+ sequences_per_file = cls.get_sequences_per_file(total_sequences, split_params)
+ return cls.write_split_files(input_datasets, None, subdir_generator_function, sequences_per_file)
+ do_slow_split = classmethod(do_slow_split)
+
+ def do_fast_split( cls, input_datasets, toc_file_datasets, subdir_generator_function, split_params):
+ data = simplejson.load(open(toc_file_datasets[0].file_name))
+ sections = data['sections']
+ total_sequences = long(0)
+ for section in sections:
+ total_sequences += long(section['sequences'])
+ sequences_per_file = cls.get_sequences_per_file(total_sequences, split_params)
+ return cls.write_split_files(input_datasets, toc_file_datasets, subdir_generator_function, sequences_per_file)
+ do_fast_split = classmethod(do_fast_split)
+
+ def write_split_files(cls, input_datasets, toc_file_datasets, subdir_generator_function, sequences_per_file):
+ directories = []
+ def get_subdir(idx):
+ if idx < len(directories):
+ return directories[idx]
+ dir = subdir_generator_function()
+ directories.append(dir)
+ return dir
+
+ # we know how many splits and how many sequences in each. What remains is to write out instructions for the
+ # splitting of all the input files. To decouple the format of those instructions from this code, the exact format of
+ # those instructions is delegated to scripts
+ start_sequence=0
+ for part_no in range(len(sequences_per_file)):
+ dir = get_subdir(part_no)
+ for ds_no in range(len(input_datasets)):
+ ds = input_datasets[ds_no]
+ base_name = os.path.basename(ds.file_name)
+ part_path = os.path.join(dir, base_name)
+ split_data = dict(class_name='%s.%s' % (cls.__module__, cls.__name__),
+ output_name=part_path,
+ input_name=ds.file_name,
+ args=dict(start_sequence=start_sequence, num_sequences=sequences_per_file[part_no]))
+ if toc_file_datasets is not None:
+ toc = toc_file_datasets[ds_no]
+ split_data['args']['toc_file'] = toc.file_name
+ f = open(os.path.join(dir, 'split_info_%s.json' % base_name), 'w')
+ simplejson.dump(split_data, f)
+ f.close()
+ start_sequence += sequences_per_file[part_no]
+ return directories
+ write_split_files = classmethod(write_split_files)
+
+ def split( cls, input_datasets, subdir_generator_function, split_params):
+ """
+ FASTQ files are split on cluster boundaries, in increments of 4 lines
+ """
+ if split_params is None:
+ return None
+
+ # first, see if there are any associated FQTOC files that will give us the split locations
+ # if so, we don't need to read the files to do the splitting
+ toc_file_datasets = []
+ for ds in input_datasets:
+ tmp_ds = ds
+ fqtoc_file = None
+ while fqtoc_file is None and tmp_ds is not None:
+ fqtoc_file = tmp_ds.get_converted_files_by_type('fqtoc')
+ tmp_ds = tmp_ds.copied_from_library_dataset_dataset_association
+
+ if fqtoc_file is not None:
+ toc_file_datasets.append(fqtoc_file)
+
+ if len(toc_file_datasets) == len(input_datasets):
+ return cls.do_fast_split(input_datasets, toc_file_datasets, subdir_generator_function, split_params)
+ return cls.do_slow_split(input_datasets, subdir_generator_function, split_params)
+ split = classmethod(split)
+
+ def process_split_file(data):
+ """
+ This is called in the context of an external process launched by a Task (possibly not on the Galaxy machine)
+ to create the input files for the Task. The parameters:
+ data - a dict containing the contents of the split file
+ """
+ args = data['args']
+ input_name = data['input_name']
+ output_name = data['output_name']
+ start_sequence = long(args['start_sequence'])
+ sequence_count = long(args['num_sequences'])
+
+ if 'toc_file' in args:
+ toc_file = simplejson.load(open(args['toc_file'], 'r'))
+ commands = Sequence.get_split_commands_with_toc(input_name, output_name, toc_file, start_sequence, sequence_count)
+ else:
+ commands = Sequence.get_split_commands_sequential(is_gzip(input_name), input_name, output_name, start_sequence, sequence_count)
+ for cmd in commands:
+ if 0 != os.system(cmd):
+ raise Exception("Executing '%s' failed" % cmd)
+ return True
+ process_split_file = staticmethod(process_split_file)
+
+ def get_split_commands_with_toc(input_name, output_name, toc_file, start_sequence, sequence_count):
+ """
+ Uses a Table of Contents dict, parsed from an FQTOC file, to come up with a set of
+ shell commands that will extract the parts necessary
+ >>> three_sections=[dict(start=0, end=74, sequences=10), dict(start=74, end=148, sequences=10), dict(start=148, end=148+76, sequences=10)]
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=0, sequence_count=10)
+ ['dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=1, sequence_count=5)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +5 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=0, sequence_count=20)
+ ['dd bs=1 skip=0 count=148 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=5, sequence_count=10)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +21 2> /dev/null) | head -20 | gzip -c >> ./output.gz', '(dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +1 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=10, sequence_count=10)
+ ['dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null >> ./output.gz']
+ >>> Sequence.get_split_commands_with_toc('./input.gz', './output.gz', dict(sections=three_sections), start_sequence=5, sequence_count=20)
+ ['(dd bs=1 skip=0 count=74 if=./input.gz 2> /dev/null )| zcat | ( tail -n +21 2> /dev/null) | head -20 | gzip -c >> ./output.gz', 'dd bs=1 skip=74 count=74 if=./input.gz 2> /dev/null >> ./output.gz', '(dd bs=1 skip=148 count=76 if=./input.gz 2> /dev/null )| zcat | ( tail -n +1 2> /dev/null) | head -20 | gzip -c >> ./output.gz']
+ """
+ sections = toc_file['sections']
+ result = []
+
+ current_sequence = long(0)
+ i=0
+ # skip to the section that contains my starting sequence
+ while i < len(sections) and start_sequence >= current_sequence + long(sections[i]['sequences']):
+ current_sequence += long(sections[i]['sequences'])
+ i += 1
+ if i == len(sections): # bad input data!
+ raise Exception('No FQTOC section contains starting sequence %s' % start_sequence)
+
+ # These two variables act as an accumulator for consecutive entire blocks that
+ # can be copied verbatim (without decompressing)
+ start_chunk = long(-1)
+ end_chunk = long(-1)
+ copy_chunk_cmd = 'dd bs=1 skip=%s count=%s if=%s 2> /dev/null >> %s'
+
+ while sequence_count > 0 and i < len(sections):
+ # we need to extract partial data. So, find the byte offsets of the chunks that contain the data we need
+ # use a combination of dd (to pull just the right sections out) tail (to skip lines) and head (to get the
+ # right number of lines
+ sequences = long(sections[i]['sequences'])
+ skip_sequences = start_sequence-current_sequence
+ sequences_to_extract = min(sequence_count, sequences-skip_sequences)
+ start_copy = long(sections[i]['start'])
+ end_copy = long(sections[i]['end'])
+ if sequences_to_extract < sequences:
+ if start_chunk > -1:
+ result.append(copy_chunk_cmd % (start_chunk, end_chunk-start_chunk, input_name, output_name))
+ start_chunk = -1
+ # extract, unzip, trim, recompress
+ result.append('(dd bs=1 skip=%s count=%s if=%s 2> /dev/null )| zcat | ( tail -n +%s 2> /dev/null) | head -%s | gzip -c >> %s' %
+ (start_copy, end_copy-start_copy, input_name, skip_sequences*4+1, sequences_to_extract*4, output_name))
+ else: # whole section - add it to the start_chunk/end_chunk accumulator
+ if start_chunk == -1:
+ start_chunk = start_copy
+ end_chunk = end_copy
+ sequence_count -= sequences_to_extract
+ start_sequence += sequences_to_extract
+ current_sequence += sequences
+ i += 1
+ if start_chunk > -1:
+ result.append(copy_chunk_cmd % (start_chunk, end_chunk-start_chunk, input_name, output_name))
+
+ if sequence_count > 0:
+ raise Exception('%s sequences not found in file' % sequence_count)
+
+ return result
+ get_split_commands_with_toc = staticmethod(get_split_commands_with_toc)
+
+
+ def get_split_commands_sequential(is_compressed, input_name, output_name, start_sequence, sequence_count):
+ """
+ Does a brain-dead sequential scan & extract of certain sequences
+ >>> Sequence.get_split_commands_sequential(True, './input.gz', './output.gz', start_sequence=0, sequence_count=10)
+ ['zcat "./input.gz" | ( tail -n +1 2> /dev/null) | head -40 | gzip -c > "./output.gz"']
+ >>> Sequence.get_split_commands_sequential(False, './input.fastq', './output.fastq', start_sequence=10, sequence_count=10)
+ ['tail -n +41 "./input.fastq" 2> /dev/null | head -40 > "./output.fastq"']
+ """
+ start_line = start_sequence * 4
+ line_count = sequence_count * 4
+ # TODO: verify that tail can handle 64-bit numbers
+ if is_compressed:
+ cmd = 'zcat "%s" | ( tail -n +%s 2> /dev/null) | head -%s | gzip -c' % (input_name, start_line+1, line_count)
+ else:
+ cmd = 'tail -n +%s "%s" 2> /dev/null | head -%s' % (start_line+1, input_name, line_count)
+ cmd += ' > "%s"' % output_name
+
+ return [cmd]
+ get_split_commands_sequential = staticmethod(get_split_commands_sequential)
+
+
+
class Alignment( data.Text ):
"""Class describing an alignment"""
@@ -550,3 +829,4 @@
return False
except:
return False
+
--- a/lib/galaxy/jobs/__init__.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/jobs/__init__.py Wed Oct 12 11:19:42 2011 -0400
@@ -327,6 +327,7 @@
self.working_directory = \
os.path.join( self.app.config.job_working_directory, str( self.job_id ) )
self.output_paths = None
+ self.output_dataset_paths = None
self.tool_provided_job_metadata = None
# Wrapper holding the info required to restore and clean up from files used for setting metadata externally
self.external_output_metadata = metadata.JobExternalOutputMetadataWrapper( job )
@@ -716,23 +717,35 @@
def get_session_id( self ):
return self.session_id
+ def get_input_dataset_fnames( self, ds ):
+ filenames = []
+ filenames = [ ds.file_name ]
+ #we will need to stage in metadata file names also
+ #TODO: would be better to only stage in metadata files that are actually needed (found in command line, referenced in config files, etc.)
+ for key, value in ds.metadata.items():
+ if isinstance( value, model.MetadataFile ):
+ filenames.append( value.file_name )
+ return filenames
+
def get_input_fnames( self ):
job = self.get_job()
filenames = []
for da in job.input_datasets + job.input_library_datasets: #da is JobToInputDatasetAssociation object
if da.dataset:
- filenames.append( da.dataset.file_name )
- #we will need to stage in metadata file names also
- #TODO: would be better to only stage in metadata files that are actually needed (found in command line, referenced in config files, etc.)
- for key, value in da.dataset.metadata.items():
- if isinstance( value, model.MetadataFile ):
- filenames.append( value.file_name )
+ filenames.extend(self.get_input_dataset_fnames(da.dataset))
return filenames
def get_output_fnames( self ):
- if self.output_paths is not None:
- return self.output_paths
+ if self.output_paths is None:
+ self.compute_outputs()
+ return self.output_paths
+ def get_output_datasets_and_fnames( self ):
+ if self.output_dataset_paths is None:
+ self.compute_outputs()
+ return self.output_dataset_paths
+
+ def compute_outputs( self ) :
class DatasetPath( object ):
def __init__( self, dataset_id, real_path, false_path = None ):
self.dataset_id = dataset_id
@@ -743,23 +756,27 @@
return self.real_path
else:
return self.false_path
-
job = self.get_job()
# Job output datasets are combination of output datasets, library datasets, and jeha datasets.
jeha = self.sa_session.query( model.JobExportHistoryArchive ).filter_by( job=job ).first()
+ jeha_false_path = None
if self.app.config.outputs_to_working_directory:
self.output_paths = []
+ output_dataset_paths = {}
for name, data in [ ( da.name, da.dataset.dataset ) for da in job.output_datasets + job.output_library_datasets ]:
false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % data.id ) )
- self.output_paths.append( DatasetPath( data.id, data.file_name, false_path ) )
+ dsp = DatasetPath( data.id, data.file_name, false_path )
+ self.output_paths.append( dsp )
+ self.output_dataset_paths[name] = data, dsp
if jeha:
- false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % jeha.dataset.id ) )
- self.output_paths.append( DatasetPath( jeha.dataset.id, jeha.dataset.file_name, false_path ) )
+ jeha_false_path = os.path.abspath( os.path.join( self.working_directory, "galaxy_dataset_%d.dat" % jeha.dataset.id ) )
else:
- self.output_paths = [ DatasetPath( da.dataset.dataset.id, da.dataset.file_name ) for da in job.output_datasets + job.output_library_datasets ]
- if jeha:
- self.output_paths.append( DatasetPath( jeha.dataset.id, jeha.dataset.file_name ) )
-
+ results = [ (da.name, da.dataset, DatasetPath( da.dataset.dataset.id, da.dataset.file_name )) for da in job.output_datasets + job.output_library_datasets ]
+ self.output_paths = [t[2] for t in results]
+ self.output_dataset_paths = dict([(t[0], t[1:]) for t in results])
+ if jeha:
+ dsp = DatasetPath( jeha.dataset.id, jeha.dataset.file_name, jeha_false_path )
+ self.output_paths.append( dsp )
return self.output_paths
def get_output_file_id( self, file ):
@@ -869,12 +886,11 @@
def __init__(self, task, queue):
super(TaskWrapper, self).__init__(task.job, queue)
self.task_id = task.id
- self.parallelism = None
- if task.part_file:
- #do this better
- self.working_directory = os.path.dirname(task.part_file)
+ self.working_directory = task.working_directory
+ if task.prepare_input_files_cmd is not None:
+ self.prepare_input_files_cmds = [ task.prepare_input_files_cmd ]
else:
- self.working_directory = None
+ self.prepare_input_files_cmds = None
self.status = task.states.NEW
def get_job( self ):
@@ -1112,8 +1128,8 @@
self.job_runners[runner_name].put( job_wrapper )
else:
runner_name = "tasks"
- log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
- self.job_runners[runner_name].put( job_wrapper )
+ log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
+ self.job_runners[runner_name].put( job_wrapper )
else:
runner_name = ( job_wrapper.tool.job_runner.split(":", 1) )[0]
log.debug( "dispatching job %d to %s runner" %( job_wrapper.job_id, runner_name ) )
@@ -1249,4 +1265,3 @@
return
def shutdown( self ):
return
-
--- a/lib/galaxy/jobs/runners/__init__.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/jobs/runners/__init__.py Wed Oct 12 11:19:42 2011 -0400
@@ -6,6 +6,7 @@
Compose the sequence of commands necessary to execute a job. This will
currently include:
- environment settings corresponding to any requirement tags
+ - preparing input files
- command line taken from job wrapper
- commands to set metadata (if include_metadata is True)
"""
@@ -17,10 +18,13 @@
# Prepend version string
if job_wrapper.version_string_cmd:
commands = "%s &> %s; " % ( job_wrapper.version_string_cmd, job_wrapper.get_version_string_path() ) + commands
+ # prepend getting input files (if defined)
+ if hasattr(job_wrapper, 'prepare_input_files_cmds') and job_wrapper.prepare_input_files_cmds is not None:
+ commands = "; ".join( job_wrapper.prepare_input_files_cmds + [ commands ] )
# Prepend dependency injection
if job_wrapper.dependency_shell_commands:
commands = "; ".join( job_wrapper.dependency_shell_commands + [ commands ] )
-
+
# Append metadata setting commands, we don't want to overwrite metadata
# that was copied over in init_meta(), as per established behavior
if include_metadata and self.app.config.set_metadata_externally:
--- a/lib/galaxy/jobs/runners/lwr.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/jobs/runners/lwr.py Wed Oct 12 11:19:42 2011 -0400
@@ -249,6 +249,12 @@
try:
job_wrapper.prepare()
+ if hasattr(job_wrapper, 'prepare_input_files_cmds') and job_wrapper.prepare_input_files_cmds is not None:
+ for cmd in job_wrapper.prepare_input_file_cmds: # run the commands to stage the input files
+ #log.debug( 'executing: %s' % cmd )
+ if 0 != os.system(cmd):
+ raise Exception('Error running file staging command: %s' % cmd)
+ job_wrapper.prepare_input_files_cmds = None # prevent them from being used in-line
command_line = self.build_command_line( job_wrapper, include_metadata=False )
except:
job_wrapper.fail( "failure preparing job", exception=True )
--- a/lib/galaxy/jobs/runners/tasks.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/jobs/runners/tasks.py Wed Oct 12 11:19:42 2011 -0400
@@ -60,71 +60,58 @@
if command_line:
try:
# DBTODO read tool info and use the right kind of parallelism.
- # For now, the only splitter is the 'basic' one, n-ways split on one input, one output.
- # This is incredibly simplified. Parallelism ultimately needs to describe which inputs, how, etc.
+ # For now, the only splitter is the 'basic' one
job_wrapper.change_state( model.Job.states.RUNNING )
self.sa_session.flush()
- parent_job = job_wrapper.get_job()
# Split with the tool-defined method.
- if job_wrapper.tool.parallelism == "basic":
- from galaxy.jobs.splitters import basic
- if len(job_wrapper.get_input_fnames()) > 1 or len(job_wrapper.get_output_fnames()) > 1:
- log.error("The basic splitter is not capable of handling jobs with multiple inputs or outputs.")
- job_wrapper.change_state( model.Job.states.ERROR )
- job_wrapper.fail("Job Splitting Failed, the basic splitter only handles tools with one input and one output")
- # Requeue as a standard job?
- return
- input_file = job_wrapper.get_input_fnames()[0]
- working_directory = job_wrapper.working_directory
- # DBTODO execute an external task to do the splitting, this should happen at refactor.
- # Regarding number of ways split, use "hints" in tool config?
- # If the number of tasks is sufficiently high, we can use it to calculate job completion % and give a running status.
- basic.split(input_file, working_directory,
- 20, #Needs serious experimentation to find out what makes the most sense.
- parent_job.input_datasets[0].dataset.ext)
- # Tasks in this parts list are in alphabetical listdir order (15 before 5), but that should not matter.
- parts = [os.path.join(os.path.abspath(job_wrapper.working_directory), p, os.path.basename(input_file))
- for p in os.listdir(job_wrapper.working_directory)
- if p.startswith('task_')]
- else:
+ try:
+ splitter = getattr(__import__('galaxy.jobs.splitters', globals(), locals(), [job_wrapper.tool.parallelism.method]), job_wrapper.tool.parallelism.method)
+ except:
job_wrapper.change_state( model.Job.states.ERROR )
job_wrapper.fail("Job Splitting Failed, no match for '%s'" % job_wrapper.tool.parallelism)
- # Assemble parts into task_wrappers
+ return
+ tasks = splitter.do_split(job_wrapper)
# Not an option for now. Task objects don't *do* anything useful yet, but we'll want them tracked outside this thread to do anything.
# if track_tasks_in_database:
- tasks = []
task_wrappers = []
- for part in parts:
- task = model.Task(parent_job, part)
+ for task in tasks:
self.sa_session.add(task)
- tasks.append(task)
self.sa_session.flush()
+
# Must flush prior to the creation and queueing of task wrappers.
for task in tasks:
tw = TaskWrapper(task, job_wrapper.queue)
task_wrappers.append(tw)
self.app.job_manager.dispatcher.put(tw)
tasks_incomplete = False
+ count_complete = 0
sleep_time = 1
+ # sleep/loop until no more progress can be made. That is when
+ # all tasks are one of { OK, ERROR, DELETED }
+ completed_states = [ model.Task.states.OK, \
+ model.Task.states.ERROR, \
+ model.Task.states.DELETED ]
+ # TODO: Should we report an error (and not merge outputs) if one of the subtasks errored out?
+ # Should we prevent any that are pending from being started in that case?
while tasks_incomplete is False:
+ count_complete = 0
tasks_incomplete = True
for tw in task_wrappers:
- if not tw.get_state() == model.Task.states.OK:
+ task_state = tw.get_state()
+ if not task_state in completed_states:
tasks_incomplete = False
- sleep( sleep_time )
- if sleep_time < 8:
- sleep_time *= 2
- output_filename = job_wrapper.get_output_fnames()[0].real_path
- basic.merge(working_directory, output_filename)
- log.debug('execution finished: %s' % command_line)
- for tw in task_wrappers:
- # Prevent repetitive output, e.g. "Sequence File Aligned"x20
- # Eventually do a reduce for jobs that output "N reads mapped", combining all N for tasks.
- if stdout.strip() != tw.get_task().stdout.strip():
- stdout += tw.get_task().stdout
- if stderr.strip() != tw.get_task().stderr.strip():
- stderr += tw.get_task().stderr
+ else:
+ count_complete = count_complete + 1
+ if tasks_incomplete is False:
+ # log.debug('Tasks complete: %s. Sleeping %s' % (count_complete, sleep_time))
+ sleep( sleep_time )
+ if sleep_time < 8:
+ sleep_time *= 2
+
+ log.debug('execution finished - beginning merge: %s' % command_line)
+ stdout, stderr = splitter.do_merge(job_wrapper, task_wrappers)
+
except Exception:
job_wrapper.fail( "failure running job", exception=True )
log.exception("failure running job %d" % job_wrapper.job_id)
--- a/lib/galaxy/jobs/splitters/basic.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/jobs/splitters/basic.py Wed Oct 12 11:19:42 2011 -0400
@@ -1,91 +1,23 @@
-import os, logging
+import logging
+import multi
+
log = logging.getLogger( __name__ )
-def _file_len(fname):
- i = 0
- f = open(fname)
- for i, l in enumerate(f):
- pass
- f.close()
- return i + 1
+def set_basic_defaults(job_wrapper):
+ parent_job = job_wrapper.get_job()
+ job_wrapper.tool.parallelism.attributes['split_inputs'] = parent_job.input_datasets[0].name
+ job_wrapper.tool.parallelism.attributes['merge_outputs'] = job_wrapper.get_output_datasets_and_fnames().keys()[0]
-def _fq_seq_count(fname):
- count = 0
- f = open(fname)
- for i, l in enumerate(f):
- if l.startswith('@'):
- count += 1
- f.close()
- return count
-
-def split_fq(input_file, working_directory, parts):
- # Temporary, switch this to use the fq reader in lib/galaxy_utils/sequence.
- outputs = []
- length = _fq_seq_count(input_file)
- if length < 1:
- return outputs
- if length < parts:
- parts = length
- len_each, remainder = divmod(length, parts)
- f = open(input_file, 'rt')
- for p in range(0, parts):
- part_dir = os.path.join( os.path.abspath(working_directory), 'task_%s' % p)
- if not os.path.exists( part_dir ):
- os.mkdir( part_dir )
- part_path = os.path.join(part_dir, os.path.basename(input_file))
- part_file = open(part_path, 'w')
- for l in range(0, len_each):
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- if remainder > 0:
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- part_file.write(f.readline())
- remainder -= 1
- outputs.append(part_path)
- part_file.close()
- f.close()
- return outputs
-
-def split_txt(input_file, working_directory, parts):
- outputs = []
- length = _file_len(input_file)
- if length < parts:
- parts = length
- len_each, remainder = divmod(length, parts)
- f = open(input_file, 'rt')
- for p in range(0, parts):
- part_dir = os.path.join( os.path.abspath(working_directory), 'task_%s' % p)
- if not os.path.exists( part_dir ):
- os.mkdir( part_dir )
- part_path = os.path.join(part_dir, os.path.basename(input_file))
- part_file = open(part_path, 'w')
- for l in range(0, len_each):
- part_file.write(f.readline())
- if remainder > 0:
- part_file.write(f.readline())
- remainder -= 1
- outputs.append(part_path)
- part_file.close()
- f.close()
- return outputs
+def do_split (job_wrapper):
+ if len(job_wrapper.get_input_fnames()) > 1 or len(job_wrapper.get_output_fnames()) > 1:
+ log.error("The basic splitter is not capable of handling jobs with multiple inputs or outputs.")
+ raise Exception, "Job Splitting Failed, the basic splitter only handles tools with one input and one output"
+ # add in the missing information for splitting the one input and merging the one output
+ set_basic_defaults(job_wrapper)
+ return multi.do_split(job_wrapper)
-def split( input_file, working_directory, parts, file_type = None):
- #Implement a better method for determining how to split.
- if file_type.startswith('fastq'):
- return split_fq(input_file, working_directory, parts)
- else:
- return split_txt(input_file, working_directory, parts)
+def do_merge( job_wrapper, task_wrappers):
+ # add in the missing information for splitting the one input and merging the one output
+ set_basic_defaults(job_wrapper)
+ return multi.do_merge(job_wrapper, task_wrappers)
-def merge( working_directory, output_file ):
- output_file_name = os.path.basename(output_file)
- task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
- task_dirs.sort(key = lambda x: int(x.split('task_')[-1]))
- for task_dir in task_dirs:
- try:
- os.system( 'cat %s >> %s' % ( os.path.join(task_dir, output_file_name), output_file ) )
- except Exception, e:
- log.error(str(e))
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/jobs/splitters/multi.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,158 @@
+import os, logging, shutil
+from galaxy import model, util
+
+
+log = logging.getLogger( __name__ )
+
+def do_split (job_wrapper):
+ parent_job = job_wrapper.get_job()
+ working_directory = os.path.abspath(job_wrapper.working_directory)
+
+ parallel_settings = job_wrapper.tool.parallelism.attributes
+ # Syntax: split_inputs="input1,input2" shared_inputs="genome"
+ # Designates inputs to be split or shared
+ split_inputs=parallel_settings.get("split_inputs")
+ if split_inputs is None:
+ split_inputs = []
+ else:
+ split_inputs = [x.strip() for x in split_inputs.split(",")]
+
+ shared_inputs=parallel_settings.get("shared_inputs")
+ if shared_inputs is None:
+ shared_inputs = []
+ else:
+ shared_inputs = [x.strip() for x in shared_inputs.split(",")]
+ illegal_inputs = [x for x in shared_inputs if x in split_inputs]
+ if len(illegal_inputs) > 0:
+ raise Exception("Inputs have conflicting parallelism attributes: %s" % str( illegal_inputs ))
+
+ subdir_index = [0] # use a list to get around Python 2.x lame closure support
+ task_dirs = []
+ def get_new_working_directory_name():
+ dir=os.path.join(working_directory, 'task_%d' % subdir_index[0])
+ subdir_index[0] = subdir_index[0] + 1
+ if not os.path.exists(dir):
+ os.makedirs(dir)
+ task_dirs.append(dir)
+ return dir
+
+ # For things like paired end alignment, we need two inputs to be split. Since all inputs to all
+ # derived subtasks need to be correlated, allow only one input type to be split
+ type_to_input_map = {}
+ for input in parent_job.input_datasets:
+ if input.name in split_inputs:
+ type_to_input_map.setdefault(input.dataset.datatype, []).append(input.name)
+ elif input.name in shared_inputs:
+ pass # pass original file name
+ else:
+ log_error = "The input '%s' does not define a method for implementing parallelism" % str(input.name)
+ log.error(log_error)
+ raise Exception(log_error)
+
+ if len(type_to_input_map) > 1:
+ log_error = "The multi splitter does not support splitting inputs of more than one type"
+ log.error(log_error)
+ raise Exception(log_error)
+
+ # split the first one to build up the task directories
+ input_datasets = []
+ for input in parent_job.input_datasets:
+ if input.name in split_inputs:
+ this_input_files = job_wrapper.get_input_dataset_fnames(input.dataset)
+ if len(this_input_files) > 1:
+ log_error = "The input '%s' is composed of multiple files - splitting is not allowed" % str(input.name)
+ log.error(log_error)
+ raise Exception(log_error)
+ input_datasets.append(input.dataset)
+
+ input_type = type_to_input_map.keys()[0]
+ # DBTODO execute an external task to do the splitting, this should happen at refactor.
+ # If the number of tasks is sufficiently high, we can use it to calculate job completion % and give a running status.
+ try:
+ input_type.split(input_datasets, get_new_working_directory_name, parallel_settings)
+ except AttributeError:
+ log_error = "The type '%s' does not define a method for splitting files" % str(input_type)
+ log.error(log_error)
+ raise
+ log.debug('do_split created %d parts' % len(task_dirs))
+ # next, after we know how many divisions there are, add the shared inputs via soft links
+ for input in parent_job.input_datasets:
+ if input and input.name in shared_inputs:
+ names = job_wrapper.get_input_dataset_fnames(input.dataset)
+ for dir in task_dirs:
+ for file in names:
+ os.symlink(file, os.path.join(dir, os.path.basename(file)))
+ tasks = []
+ prepare_files = os.path.join(util.galaxy_directory(), 'extract_dataset_parts.sh') + ' %s'
+ for dir in task_dirs:
+ task = model.Task(parent_job, dir, prepare_files % dir)
+ tasks.append(task)
+ return tasks
+
+
+def do_merge( job_wrapper, task_wrappers):
+ parent_job = job_wrapper.get_job()
+ parallel_settings = job_wrapper.tool.parallelism.attributes
+ # Syntax: merge_outputs="export" pickone_outputs="genomesize"
+ # Designates outputs to be merged, or selected from as a representative
+ merge_outputs = parallel_settings.get("merge_outputs")
+ if merge_outputs is None:
+ merge_outputs = []
+ else:
+ merge_outputs = [x.strip() for x in merge_outputs.split(",")]
+ pickone_outputs = parallel_settings.get("pickone_outputs")
+ if pickone_outputs is None:
+ pickone_outputs = []
+ else:
+ pickone_outputs = [x.strip() for x in pickone_outputs.split(",")]
+
+ illegal_outputs = [x for x in merge_outputs if x in pickone_outputs]
+ if len(illegal_outputs) > 0:
+ return ('Tool file error', 'Outputs have conflicting parallelism attributes: %s' % str( illegal_outputs ))
+
+ stdout = ''
+ stderr = ''
+
+ try:
+ working_directory = job_wrapper.working_directory
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ # TODO: Output datasets can be very complex. This doesn't handle metadata files
+ outputs = job_wrapper.get_output_datasets_and_fnames()
+ pickone_done = []
+ task_dirs = [os.path.join(working_directory, x) for x in os.listdir(working_directory) if x.startswith('task_')]
+ for output in outputs:
+ output_file_name = str(outputs[output][1])
+ base_output_name = os.path.basename(output_file_name)
+ if output in merge_outputs:
+ output_type = outputs[output][0].datatype
+ output_files = [os.path.join(dir,base_output_name) for dir in task_dirs]
+ log.debug('files %s ' % output_files)
+ output_type.merge(output_files, output_file_name)
+ log.debug('merge finished: %s' % output_file_name)
+ pass # TODO: merge all the files
+ elif output in pickone_outputs:
+ # just pick one of them
+ if output not in pickone_done:
+ task_file_name = os.path.join(task_dirs[0], base_output_name)
+ shutil.move( task_file_name, output_file_name )
+ pickone_done.append(output)
+ else:
+ log_error = "The output '%s' does not define a method for implementing parallelism" % output
+ log.error(log_error)
+ raise Exception(log_error)
+ except Exception, e:
+ stdout = 'Error merging files';
+ stderr = str(e)
+
+
+ for tw in task_wrappers:
+ # Prevent repetitive output, e.g. "Sequence File Aligned"x20
+ # Eventually do a reduce for jobs that output "N reads mapped", combining all N for tasks.
+ out = tw.get_task().stdout.strip()
+ err = tw.get_task().stderr.strip()
+ if len(out) > 0:
+ stdout += tw.working_directory + ':\n' + out
+ if len(err) > 0:
+ stderr += tw.working_directory + ':\n' + err
+ return (stdout, stderr)
+
--- a/lib/galaxy/model/__init__.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/model/__init__.py Wed Oct 12 11:19:42 2011 -0400
@@ -204,18 +204,19 @@
ERROR = 'error',
DELETED = 'deleted' )
- def __init__( self, job, part_file = None ):
+ def __init__( self, job, working_directory, prepare_files_cmd ):
self.command_line = None
self.parameters = []
self.state = Task.states.NEW
self.info = None
- self.part_file = part_file
+ self.working_directory = working_directory
self.task_runner_name = None
self.task_runner_external_id = None
self.job = job
self.stdout = None
self.stderr = None
-
+ self.prepare_input_files_cmd = prepare_files_cmd
+
def set_state( self, state ):
self.state = state
@@ -896,7 +897,9 @@
def get_converted_files_by_type( self, file_type ):
for assoc in self.implicitly_converted_datasets:
if not assoc.deleted and assoc.type == file_type:
- return assoc.dataset
+ if assoc.dataset:
+ return assoc.dataset
+ return assoc.dataset_ldda
return None
def get_converted_dataset_deps(self, trans, target_ext):
"""
@@ -1588,7 +1591,12 @@
class ImplicitlyConvertedDatasetAssociation( object ):
def __init__( self, id = None, parent = None, dataset = None, file_type = None, deleted = False, purged = False, metadata_safe = True ):
self.id = id
- self.dataset = dataset
+ if isinstance(dataset, HistoryDatasetAssociation):
+ self.dataset = dataset
+ elif isinstance(dataset, LibraryDatasetDatasetAssociation):
+ self.dataset_ldda = dataset
+ else:
+ raise AttributeError, 'Unknown dataset type provided for dataset: %s' % type( dataset )
if isinstance(parent, HistoryDatasetAssociation):
self.parent_hda = parent
elif isinstance(parent, LibraryDatasetDatasetAssociation):
--- a/lib/galaxy/model/mapping.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/model/mapping.py Wed Oct 12 11:19:42 2011 -0400
@@ -148,6 +148,7 @@
Column( "create_time", DateTime, default=now ),
Column( "update_time", DateTime, default=now, onupdate=now ),
Column( "hda_id", Integer, ForeignKey( "history_dataset_association.id" ), index=True, nullable=True ),
+ Column( "ldda_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True, nullable=True ),
Column( "hda_parent_id", Integer, ForeignKey( "history_dataset_association.id" ), index=True ),
Column( "ldda_parent_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True ),
Column( "deleted", Boolean, index=True, default=False ),
@@ -467,11 +468,13 @@
Column( "runner_name", String( 255 ) ),
Column( "stdout", TEXT ),
Column( "stderr", TEXT ),
+ Column( "info", TrimmedString ( 255 ) ),
Column( "traceback", TEXT ),
Column( "job_id", Integer, ForeignKey( "job.id" ), index=True, nullable=False ),
- Column( "part_file", String(1024)),
+ Column( "working_directory", String(1024)),
Column( "task_runner_name", String( 255 ) ),
- Column( "task_runner_external_id", String( 255 ) ) )
+ Column( "task_runner_external_id", String( 255 ) ),
+ Column( "prepare_input_files_cmd", TEXT ) )
PostJobAction.table = Table("post_job_action", metadata,
Column("id", Integer, primary_key=True),
@@ -1206,11 +1209,12 @@
properties=dict( parent_hda=relation(
HistoryDatasetAssociation,
primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.hda_parent_id == HistoryDatasetAssociation.table.c.id ) ),
-
parent_ldda=relation(
LibraryDatasetDatasetAssociation,
primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.ldda_parent_id == LibraryDatasetDatasetAssociation.table.c.id ) ),
-
+ dataset_ldda=relation(
+ LibraryDatasetDatasetAssociation,
+ primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.ldda_id == LibraryDatasetDatasetAssociation.table.c.id ) ),
dataset=relation(
HistoryDatasetAssociation,
primaryjoin=( ImplicitlyConvertedDatasetAssociation.table.c.hda_id == HistoryDatasetAssociation.table.c.id ) ) ) )
@@ -1594,7 +1598,7 @@
annotations=relation( PageAnnotationAssociation, order_by=PageAnnotationAssociation.table.c.id, backref="pages" ),
ratings=relation( PageRatingAssociation, order_by=PageRatingAssociation.table.c.id, backref="pages" )
) )
-
+
assign_mapper( context, ToolShedRepository, ToolShedRepository.table )
# Set up proxy so that
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0083_add_prepare_files_to_task.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,63 @@
+"""
+Migration script to add 'prepare_input_files_cmd' column to the task table and to rename a column.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "prepare_input_files_cmd", TEXT, nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.prepare_input_files_cmd
+ except Exception, e:
+ print "Adding prepare_input_files_cmd column to task table failed: %s" % str( e )
+ log.debug( "Adding prepare_input_files_cmd column to task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "working_directory", String ( 1024 ), nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.working_directory
+ except Exception, e:
+ print "Adding working_directory column to task table failed: %s" % str( e )
+ log.debug( "Adding working_directory column to task table failed: %s" % str( e ) )
+
+ # remove the 'part_file' column - nobody used tasks before this, so no data needs to be migrated
+ try:
+ task_table.c.part_file.drop()
+ except Exception, e:
+ log.debug( "Deleting column 'part_file' from the 'task' table failed: %s" % ( str( e ) ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.prepare_input_files_cmd.drop()
+ except Exception, e:
+ print "Dropping prepare_input_files_cmd column from task table failed: %s" % str( e )
+ log.debug( "Dropping prepare_input_files_cmd column from task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.working_directory.drop()
+ except Exception, e:
+ print "Dropping working_directory column from task table failed: %s" % str( e )
+ log.debug( "Dropping working_directory column from task table failed: %s" % str( e ) )
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "part_file", String ( 1024 ), nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.part_file
+ except Exception, e:
+ print "Adding part_file column to task table failed: %s" % str( e )
+ log.debug( "Adding part_file column to task table failed: %s" % str( e ) )
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0084_add_ldda_id_to_implicit_conversion_table.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,35 @@
+"""
+Migration script to add 'ldda_id' column to the implicitly_converted_dataset_association table.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ Implicitly_converted_table = Table( "implicitly_converted_dataset_association", metadata, autoload=True )
+ c = Column( "ldda_id", Integer, ForeignKey( "library_dataset_dataset_association.id" ), index=True, nullable=True )
+ c.create( Implicitly_converted_table )
+ assert c is Implicitly_converted_table.c.ldda_id
+ except Exception, e:
+ print "Adding ldda_id column to implicitly_converted_dataset_association table failed: %s" % str( e )
+ log.debug( "Adding ldda_id column to implicitly_converted_dataset_association table failed: %s" % str( e ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ Implicitly_converted_table = Table( "implicitly_converted_dataset_association", metadata, autoload=True )
+ Implicitly_converted_table.c.ldda_id.drop()
+ except Exception, e:
+ print "Dropping ldda_id column from implicitly_converted_dataset_association table failed: %s" % str( e )
+ log.debug( "Dropping ldda_id column from implicitly_converted_dataset_association table failed: %s" % str( e ) )
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/lib/galaxy/model/migrate/versions/0085_add_task_info.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,36 @@
+"""
+Migration script to add 'info' column to the task table.
+"""
+
+from sqlalchemy import *
+from sqlalchemy.orm import *
+from migrate import *
+from migrate.changeset import *
+
+import logging
+log = logging.getLogger( __name__ )
+from galaxy.model.custom_types import TrimmedString
+
+metadata = MetaData( migrate_engine )
+db_session = scoped_session( sessionmaker( bind=migrate_engine, autoflush=False, autocommit=True ) )
+
+def upgrade():
+ print __doc__
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ c = Column( "info", TrimmedString (255) , nullable=True )
+ c.create( task_table )
+ assert c is task_table.c.info
+ except Exception, e:
+ print "Adding info column to table table failed: %s" % str( e )
+ log.debug( "Adding info column to task table failed: %s" % str( e ) )
+
+def downgrade():
+ metadata.reflect()
+ try:
+ task_table = Table( "task", metadata, autoload=True )
+ task_table.c.info.drop()
+ except Exception, e:
+ print "Dropping info column from task table failed: %s" % str( e )
+ log.debug( "Dropping info column from task table failed: %s" % str( e ) )
--- a/lib/galaxy/tools/__init__.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/tools/__init__.py Wed Oct 12 11:19:42 2011 -0400
@@ -352,6 +352,21 @@
self.fabfile = fabfile
self.method = method
+class ToolParallelismInfo(object):
+ """
+ Stores the information (if any) for running multiple instances of the tool in parallel
+ on the same set of inputs.
+ """
+ def __init__(self, tag):
+ self.method = tag.get('method')
+ self.attributes = dict([item for item in tag.attrib.items() if item[0] != 'method' ])
+ if len(self.attributes) == 0:
+ # legacy basic mode - provide compatible defaults
+ self.attributes['split_size'] = 20
+ self.attributes['split_mode'] = 'number_of_parts'
+
+
+
class Tool:
"""
Represents a computational tool that can be executed through Galaxy.
@@ -442,7 +457,7 @@
# Parallelism for tasks, read from tool config.
parallelism = root.find("parallelism")
if parallelism is not None and parallelism.get("method"):
- self.parallelism = parallelism.get("method")
+ self.parallelism = ToolParallelismInfo(parallelism)
else:
self.parallelism = None
if self.app.config.start_job_runners is None:
--- a/lib/galaxy/util/__init__.py Mon Oct 10 18:42:31 2011 -0400
+++ b/lib/galaxy/util/__init__.py Wed Oct 12 11:19:42 2011 -0400
@@ -623,6 +623,9 @@
gbrowse_build_sites = read_build_sites( os.path.join( galaxy_root_path, "tool-data", "shared", "gbrowse", "gbrowse_build_sites.txt" ) )
genetrack_sites = read_build_sites( os.path.join( galaxy_root_path, "tool-data", "shared", "genetrack", "genetrack_sites.txt" ), check_builds=False )
+def galaxy_directory():
+ return os.path.abspath(galaxy_root_path)
+
if __name__ == '__main__':
import doctest, sys
doctest.testmod(sys.modules[__name__], verbose=False)
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/extract_dataset_part.py Wed Oct 12 11:19:42 2011 -0400
@@ -0,0 +1,48 @@
+"""
+Reads a JSON file and uses it to call into a datatype class to extract
+a subset of a dataset for processing.
+
+Used by jobs that split large files into pieces to be processed concurrently
+on a gid in a scatter-gather mode. This does part of the scatter.
+
+"""
+import os
+import sys
+import logging
+logging.basicConfig()
+log = logging.getLogger( __name__ )
+
+new_path = [ os.path.join( os.getcwd(), "lib" ) ]
+new_path.extend( sys.path[1:] ) # remove scripts/ from the path
+sys.path = new_path
+
+from galaxy import eggs
+import pkg_resources
+pkg_resources.require("simplejson")
+import simplejson
+
+# This junk is here to prevent loading errors
+import galaxy.model.mapping #need to load this before we unpickle, in order to setup properties assigned by the mappers
+galaxy.model.Job() #this looks REAL stupid, but it is REQUIRED in order for SA to insert parameters into the classes defined by the mappers --> it appears that instantiating ANY mapper'ed class would suffice here
+galaxy.datatypes.metadata.DATABASE_CONNECTION_AVAILABLE = False #Let metadata know that there is no database connection, and to just assume object ids are valid
+
+def __main__():
+ """
+ Argument: a JSON file
+ """
+ file_path = sys.argv.pop( 1 )
+ data = simplejson.load(open(file_path, 'r'))
+ try:
+ class_name_parts = data['class_name'].split('.')
+ module_name = '.'.join(class_name_parts[:-1])
+ class_name = class_name_parts[-1]
+ mod = __import__(module_name, globals(), locals(), [class_name])
+ cls = getattr(mod, class_name)
+ if not cls.process_split_file(data):
+ sys.stderr.write('Writing split file failed\n')
+ sys.exit(1)
+ except Exception, e:
+ sys.stderr.write(str(e))
+ sys.exit(1)
+
+__main__()
http://bitbucket.org/galaxy/galaxy-central/changeset/44731af3e1c0/
changeset: 44731af3e1c0
user: dannon
date: 2011-10-12 17:19:58
summary: Merge
affected #: 9 files (-1 bytes)
--- a/lib/galaxy/visualization/tracks/data_providers.py Wed Oct 12 11:19:42 2011 -0400
+++ b/lib/galaxy/visualization/tracks/data_providers.py Wed Oct 12 11:19:58 2011 -0400
@@ -205,7 +205,10 @@
# Score (filter data)
if length >= 5 and filter_cols and filter_cols[0] == "Score":
- payload.append( float(feature[4]) )
+ try:
+ payload.append( float( feature[4] ) )
+ except:
+ payload.append( feature[4] )
rval.append( payload )
@@ -804,7 +807,7 @@
# Return full feature.
payload = [ feature.start,
feature.end,
- feature.name(),
+ feature.name(),
feature.strand,
# No notion of thick start, end in GFF, so make everything
# thick.
@@ -828,9 +831,16 @@
# Add filter data to payload.
for col in filter_cols:
if col == "Score":
- payload.append( feature.score )
+ try:
+ payload.append( float( feature.score ) )
+ except:
+ payload.append( feature.score )
elif col in feature.attributes:
- payload.append( feature.attributes[col] )
+ try:
+ payload.append( float( feature.attributes[col] ) )
+ except:
+ # Feature is not a float.
+ payload.append( feature.attributes[col] )
else:
# Dummy value.
payload.append( "na" )
--- a/lib/galaxy/web/controllers/dataset.py Wed Oct 12 11:19:42 2011 -0400
+++ b/lib/galaxy/web/controllers/dataset.py Wed Oct 12 11:19:58 2011 -0400
@@ -1134,13 +1134,13 @@
if history in target_histories:
refresh_frames = ['history']
trans.sa_session.flush()
- hist_names_str = ", ".join( [ hist.name for hist in target_histories ] )
+ hist_names_str = ", ".join( ['<a href="%s" target="_top">%s</a>' %
+ ( url_for( controller="history", action="switch_to_history", \
+ hist_id=trans.security.encode_id( hist.id ) ), hist.name ) \
+ for hist in target_histories ] )
num_source = len( source_dataset_ids ) - invalid_datasets
num_target = len(target_histories)
done_msg = "%i %s copied to %i %s: %s." % (num_source, inflector.cond_plural(num_source, "dataset"), num_target, inflector.cond_plural(num_target, "history"), hist_names_str )
- if new_history is not None:
- done_msg += " <a href=\"%s\" target=\"_top\">Switch to the new history.</a>" % url_for(
- controller="history", action="switch_to_history", hist_id=trans.security.encode_id( new_history.id ) )
trans.sa_session.refresh( history )
source_datasets = history.visible_datasets
target_histories = [history]
--- a/static/june_2007_style/blue/trackster.css Wed Oct 12 11:19:42 2011 -0400
+++ b/static/june_2007_style/blue/trackster.css Wed Oct 12 11:19:58 2011 -0400
@@ -24,7 +24,7 @@
.track{background:white;}
.track-header{text-align:left;padding:4px 0px;color:#666;}
.track-header .menubutton{margin-left:0px;}
-.track-content{overflow:hidden;text-align:center;border-top:1px solid #eee;border-bottom:2px solid #eee;background:#eee url('/static/images/tracks/diag_bg.gif');min-height:16px;}
+.track-content{text-align:center;border-top:1px solid #eee;border-bottom:2px solid #eee;background:#eee url('/static/images/tracks/diag_bg.gif');min-height:16px;}
.label-track .track-content{background:white;}
.track-tile{background:white;}
.track-tile canvas{position:relative;z-index:100;}
@@ -62,3 +62,4 @@
.icon.more-across{background:url('../images/fugue/arrow-transition-bw.png') no-repeat 0px 0px;}
.intro{padding:1em;}
.intro > .action-button{background-color:#CCC;padding:1em;}
+.feature-popup{background-color:#DDD;position:absolute;z-index:1000}
--- a/static/june_2007_style/trackster.css.tmpl Wed Oct 12 11:19:42 2011 -0400
+++ b/static/june_2007_style/trackster.css.tmpl Wed Oct 12 11:19:58 2011 -0400
@@ -156,7 +156,6 @@
}
.track-content {
- overflow: hidden;
text-align: center;
border-top: 1px solid #eee;
border-bottom: 2px solid #eee;
@@ -335,4 +334,8 @@
background-color: #CCC;
padding: 1em;
}
-
+.feature-popup{
+ background-color: #DDD;
+ position: absolute;
+ z-index: 1000
+}
--- a/static/scripts/packed/trackster.js Wed Oct 12 11:19:42 2011 -0400
+++ b/static/scripts/packed/trackster.js Wed Oct 12 11:19:58 2011 -0400
@@ -1,1 +1,1 @@
-var class_module=function(b,a){var c=function(){var f=arguments[0];for(var e=1;e<arguments.length;e++){var d=arguments[e];for(key in d){f[key]=d[key]}}return f};a.extend=c};var requestAnimationFrame=(function(){return window.requestAnimationFrame||window.webkitRequestAnimationFrame||window.mozRequestAnimationFrame||window.oRequestAnimationFrame||window.msRequestAnimationFrame||function(b,a){window.setTimeout(b,1000/60)}})();var BEFORE=1001,CONTAINS=1002,OVERLAP_START=1003,OVERLAP_END=1004,CONTAINED_BY=1005,AFTER=1006;var compute_overlap=function(e,b){var g=e[0],f=e[1],d=b[0],c=b[1],a;if(g<d){if(f<d){a=BEFORE}else{if(f<=c){a=OVERLAP_START}else{a=CONTAINS}}}else{if(g>c){a=AFTER}else{if(f<=c){a=CONTAINED_BY}else{a=OVERLAP_END}}}return a};var is_overlap=function(c,b){var a=compute_overlap(c,b);return(a!==BEFORE&&a!==AFTER)};var trackster_module=function(f,aa){var q=f("class").extend,t=f("slotting"),N=f("painters");var ag=function(ah,ai){this.document=ah;this.default_font=ai!==undefined?ai:"9px Monaco, Lucida Console, monospace";this.dummy_canvas=this.new_canvas();this.dummy_context=this.dummy_canvas.getContext("2d");this.dummy_context.font=this.default_font;this.char_width_px=this.dummy_context.measureText("A").width;this.patterns={};this.load_pattern("right_strand","/visualization/strand_right.png");this.load_pattern("left_strand","/visualization/strand_left.png");this.load_pattern("right_strand_inv","/visualization/strand_right_inv.png");this.load_pattern("left_strand_inv","/visualization/strand_left_inv.png")};q(ag.prototype,{load_pattern:function(ah,al){var ai=this.patterns,aj=this.dummy_context,ak=new Image();ak.src=image_path+al;ak.onload=function(){ai[ah]=aj.createPattern(ak,"repeat")}},get_pattern:function(ah){return this.patterns[ah]},new_canvas:function(){var ah=this.document.createElement("canvas");if(window.G_vmlCanvasManager){G_vmlCanvasManager.initElement(ah)}ah.manager=this;return ah}});var o={};var m=function(ah,ai){o[ah.attr("id")]=ai};var n=function(ah,aj,al,ak){al=".group";var ai={};o[ah.attr("id")]=ak;ah.bind("drag",{handle:"."+aj,relative:true},function(au,av){var at=$(this);var ay=$(this).parent(),ap=ay.children(),ar=o[$(this).attr("id")],ao,an,aw,am,aq;an=$(this).parents(al);if(an.length!==0){aw=an.position().top;am=aw+an.outerHeight();if(av.offsetY<aw){$(this).insertBefore(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable_before(ar,ax);return}else{if(av.offsetY>am){$(this).insertAfter(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable(ar);return}}}an=null;for(aq=0;aq<ap.length;aq++){ao=$(ap.get(aq));aw=ao.position().top;am=aw+ao.outerHeight();if(ao.is(al)&&this!==ao.get(0)&&av.offsetY>=aw&&av.offsetY<=am){if(av.offsetY-aw<am-av.offsetY){ao.find(".content-div").prepend(this)}else{ao.find(".content-div").append(this)}if(ar.container){ar.container.remove_drawable(ar)}o[ao.attr("id")].add_drawable(ar);return}}for(aq=0;aq<ap.length;aq++){if(av.offsetY<$(ap.get(aq)).position().top){break}}if(aq===ap.length){if(this!==ap.get(aq-1)){ay.append(this);o[ay.attr("id")].move_drawable(ar,aq)}}else{if(this!==ap.get(aq)){$(this).insertBefore(ap.get(aq));o[ay.attr("id")].move_drawable(ar,(av.deltaY>0?aq-1:aq))}}}).bind("dragstart",function(){ai["border-top"]=ah.css("border-top");ai["border-bottom"]=ah.css("border-bottom");$(this).css({"border-top":"1px solid blue","border-bottom":"1px solid blue"})}).bind("dragend",function(){$(this).css(ai)})};aa.moveable=n;var af=16,I=9,F=20,V=I+2,B=100,K=12000,T=200,E=5,w=10,M=5000,x=100,p="There was an error in indexing this dataset. ",L="A converter for this dataset is not installed. Please check your datatypes_conf.xml file.",G="No data for this chrom/contig.",u="Currently indexing... please wait",z="Tool cannot be rerun: ",a="Loading data...",ab="Ready for display",d=10,v=5,D=5;function y(ah){return Math.round(ah*1000)/1000}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var U=function(ai,ah,aj){c.call(this,ai);this.track=ah;this.subset=(aj!==undefined?aj:true)};q(U.prototype,c.prototype,{load_data:function(aq,al,ao,ai,an){var ap=this.track.view.chrom,ak={chrom:ap,low:aq,high:al,mode:ao,resolution:ai,dataset_id:this.track.dataset_id,hda_ldda:this.track.hda_ldda};$.extend(ak,an);if(this.track.filters_manager){var ar=[];var ah=this.track.filters_manager.filters;for(var am=0;am<ah.length;am++){ar[ar.length]=ah[am].name}ak.filter_cols=JSON.stringify(ar)}var aj=this;return $.getJSON(this.track.data_url,ak,function(at){aj.set_data(aq,al,ao,at)})},get_data:function(ah,al,am,ai,ak){var aj=this.get_data_from_cache(ah,al,am);if(aj){return aj}aj=this.load_data(ah,al,am,ai,ak);this.set_data(ah,al,am,aj);return aj},DEEP_DATA_REQ:"deep",BROAD_DATA_REQ:"breadth",get_more_data:function(ap,ak,ao,aj,an,al){var aq=this.get_data_from_cache(ap,ak,ao);if(!aq){console.log("ERROR: no current data for: ",this.track,ap,ak,ao,aj,an);return}aq.stale=true;var 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focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new C(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(al,ai,an){if(!al||al==="None"){return}var ak=this;if(al==="previous"){ak.load_chroms({low:this.chrom_start_index-x});return}if(al==="next"){ak.load_chroms({low:this.chrom_start_index+x});return}var am=$.grep(ak.chrom_data,function(ap,aq){return ap.chrom===al})[0];if(am===undefined){ak.load_chroms({chrom:al},function(){ak.change_chrom(al,ai,an)});return}else{if(al!==ak.chrom){ak.chrom=al;ak.chrom_select.val(ak.chrom);ak.max_high=am.len-1;ak.reset();ak.request_redraw(true);for(var ao=0,ah=ak.tracks.length;ao<ah;ao++){var aj=ak.tracks[ao];if(aj.init){aj.init()}}}if(ai!==undefined&&an!==undefined){ak.low=Math.max(ai,0);ak.high=Math.min(an,ak.max_high)}ak.reset_overview();ak.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){A.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){A.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.tracks),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(E,Math.ceil(Math.log((this.high-this.low)/T)/Math.log(E)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new P(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new S(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new X(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(L)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(z+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var P=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){P.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var Y=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(Y.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=parseFloat(ah[this.index]);return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new Y(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var Q=function(ai,ah){N.AlphaGenerator.call(this,ah);this.filter=ai};Q.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var H=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(H.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(aj,ai,ah,ak){this.index=aj;this.low=aj*T*ai;this.high=(aj+1)*T*ai;this.resolution=ai;this.canvas=$("<div class='track-tile'/>").append(ah);this.data=ak;this.stale=false};var l=function(aj,ai,ah,ak,al){b.call(this,aj,ai,ah,ak);this.max_val=al};var R=function(ak,aj,ai,an,am,ah){b.call(this,ak,aj,ai,an);this.message=am;this.feature_mapper=ah;var al=this;$(this.canvas).mousemove(function(ap){var ao=al.feature_mapper.get_feature_data(ap.offsetX,ap.offsetY)})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:M);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof C){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Z){return"ReadTrack"}else{if(this instanceof X){return"ToolDataFeatureTrack"}else{if(this instanceof W){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var ak=ah.view.tracks.indexOf(ah);var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(L)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(G)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(ab);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var O=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(O.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(E,Math.ceil(Math.log((view.max_high-view.max_low)/T)/Math.log(E))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?V:0));new_tile=new b(-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof C)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/T);var ap=true;var at=[];var ah=0;while((ai*T*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",F)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*T*an,ax=ap+T*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:F-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*T*ai,al=T*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var C=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});O.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new J(D,this,false);this.tile_cache=new c(v)};q(C.prototype,r.prototype,O.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=T*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);O.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new U(D,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.track_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.track_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,O.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this,ai=ah.view.tracks.indexOf(ah);ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(aj){ah.container_div.addClass("line-track");var al=aj.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=al.min;ah.prefs.max_value=al.max;$("#track_"+ai+"_minval").val(ah.prefs.min_value);$("#track_"+ai+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=al.total_frequency;ah.container_div.find(".yaxislabel").remove();var am=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_minval").text(y(ah.prefs.min_value));var ak=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_maxval").text(y(ah.prefs.max_value));ak.css({position:"absolute",top:"24px",left:"10px"});ak.prependTo(ah.container_div);am.css({position:"absolute",bottom:"2px",left:"10px"});am.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new N.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);O.call(this,ak,al);this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new U(20,this);this.left_offset=200;this.painter=N.LinkedFeaturePainter};q(e.prototype,r.prototype,O.prototype,{postdraw_actions:function(ax,ah,ay,aw){O.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",B,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>K){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+V;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new N.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,V);aM.draw(aD,aC,an);return new l(aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var 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H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=N.ReadPainter;this.make_name_popup_menu()};q(Z.prototype,r.prototype,O.prototype,e.prototype);var X=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(X.prototype,r.prototype,O.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=M;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});aa.View=ae;aa.DrawableGroup=S;aa.LineTrack=k;aa.FeatureTrack=e;aa.ReadTrack=Z};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var D=A-E/2,C=A+E/2,F=z-Math.sqrt(E*3/2);B.beginPath();B.moveTo(D,F);B.lineTo(C,F);B.lineTo(A,z);B.lineTo(D,F);B.strokeStyle=this.fillStyle;B.fill();B.stroke();B.closePath()};var g=function(z){this.default_alpha=(z?z:1)};g.prototype.gen_alpha=function(z){return this.default_alpha};var n=function(B,D,z,A,C){this.data=B;this.view_start=D;this.view_end=z;this.prefs=v({},this.default_prefs,A);this.mode=C};n.prototype.default_prefs={};var w=function(B,D,z,A,C){n.call(this,B,D,z,A,C)};w.prototype.default_prefs={show_counts:false};w.prototype.draw=function(M,z,L){var E=this.view_start,O=this.view_end-this.view_start,N=z/O;var J=this.data.data,I=this.data.delta,G=this.data.max,B=L;delta_x_px=Math.ceil(I*N);M.save();for(var C=0,D=J.length;C<D;C++){var H=Math.floor((J[C][0]-E)*N);var F=J[C][1];if(!F){continue}var K=F/G*L;if(F!==0&&K<1){K=1}M.fillStyle=this.prefs.block_color;M.fillRect(H,B-K,delta_x_px,K);var A=4;if(this.prefs.show_counts&&(M.measureText(F).width+A)<delta_x_px){M.fillStyle=this.prefs.label_color;M.textAlign="center";M.fillText(F,H+(delta_x_px/2),10)}}M.restore()};var c=function(z,D,F,G,B){n.call(this,z,D,F,G,B);if(this.prefs.min_value===undefined){var H=Infinity;for(var A=0,C=this.data.length;A<C;A++){H=Math.min(H,this.data[A][1])}this.prefs.min_value=H}if(this.prefs.max_value===undefined){var E=-Infinity;for(var A=0,C=this.data.length;A<C;A++){E=Math.max(E,this.data[A][1])}this.prefs.max_value=E}};c.prototype.default_prefs={min_value:undefined,max_value:undefined,mode:"Histogram",color:"#000",overflow_color:"#F66"};c.prototype.draw=function(N,M,K){var F=false,H=this.prefs.min_value,D=this.prefs.max_value,J=D-H,z=K,A=this.view_start,L=this.view_end-this.view_start,B=M/L,I=this.mode,T=this.data;N.save();var U=Math.round(K+H/J*K);if(I!=="Intensity"){N.fillStyle="#aaa";N.fillRect(0,U,M,1)}N.beginPath();var R,E,C;if(T.length>1){C=Math.ceil((T[1][0]-T[0][0])*B)}else{C=10}for(var O=0,P=T.length;O<P;O++){N.fillStyle=this.prefs.color;R=Math.round((T[O][0]-A)*B);E=T[O][1];var Q=false,G=false;if(E===null){if(F&&I==="Filled"){N.lineTo(R,z)}F=false;continue}if(E<H){G=true;E=H}else{if(E>D){Q=true;E=D}}if(I==="Histogram"){E=Math.round(E/J*z);N.fillRect(R,U,C,-E)}else{if(I==="Intensity"){E=255-Math.floor((E-H)/J*255);N.fillStyle="rgb("+E+","+E+","+E+")";N.fillRect(R,0,C,z)}else{E=Math.round(z-(E-H)/J*z);if(F){N.lineTo(R,E)}else{F=true;if(I==="Filled"){N.moveTo(R,z);N.lineTo(R,E)}else{N.moveTo(R,E)}}}}N.fillStyle=this.prefs.overflow_color;if(Q||G){var S;if(I==="Histogram"||I==="Intensity"){S=C}else{R-=2;S=4}if(Q){N.fillRect(R,0,S,3)}if(G){N.fillRect(R,z-3,S,3)}}N.fillStyle=this.prefs.color}if(I==="Filled"){if(F){N.lineTo(R,U);N.lineTo(0,U)}N.fill()}else{N.stroke()}N.restore()};var o=function(z){this.feature_positions={};this.slot_height=z;this.translation=0};o.prototype.map_feature_data=function(A,C,z,B){if(!this.feature_positions[C]){this.feature_positions[C]=[]}this.feature_positions[C].push({data:A,x_start:z,x_end:B})};o.prototype.get_feature_data=function(z,D){var C=Math.floor(D/this.slot_height),B;if(!this.feature_positions[C]){return null}z+=this.translation;for(var A=0;A<this.feature_positions[C].length;A++){B=this.feature_positions[C][A];if(z>=B.x_start&&z<=B.x_end){return B.data}}};var p=function(C,E,z,B,D,A){n.call(this,C,E,z,B,D);this.alpha_generator=(A?A:new g())};p.prototype.default_prefs={block_color:"#FFF",connector_color:"#FFF"};v(p.prototype,{get_required_height:function(A){var z=y_scale=this.get_row_height(),B=this.mode;if(B==="no_detail"||B==="Squish"||B==="Pack"){z=A*y_scale}return z+Math.max(Math.round(y_scale/2),5)},draw:function(L,J,H,G){var R=this.data,E=this.view_start,N=this.view_end;L.save();L.fillStyle=this.prefs.block_color;L.textAlign="right";var I=this.view_end-this.view_start,F=J/I,M=this.get_row_height(),Q=new o(M),C;for(var O=0,P=R.length;O<P;O++){var B=R[O],D=B[0],K=B[1],z=B[2],A=(G&&G[D]!==undefined?G[D]:null);if((K<N&&z>E)&&(this.mode=="Dense"||A!==null)){C=this.draw_element(L,this.mode,B,A,E,N,F,M,J);Q.map_feature_data(B,A,C[0],C[1])}}L.restore();return Q},draw_element:function(F,B,H,D,C,E,G,A,z){console.log("WARNING: Unimplemented function.");return[0,0]}});var d=10,j=3,m=5,x=10,f=1,t=3,e=3,a=9,l=2,h="#ccc";var s=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(s.prototype,p.prototype,{get_row_height:function(){var A=this.mode,z;if(A==="Dense"){z=d}else{if(A==="no_detail"){z=j}else{if(A==="Squish"){z=m}else{z=x}}}return z},draw_element:function(L,E,T,G,N,ae,ai,ak,z){var Q=T[0],ag=T[1],Y=T[2],O=T[3],Z=Math.floor(Math.max(0,(ag-N)*ai)),M=Math.ceil(Math.min(z,Math.max(0,(Y-N)*ai))),X=Z,aj=M,W=(E==="Dense"?0:(0+G))*ak,K,ac,P=null,al=null,C=this.prefs.block_color,ab=this.prefs.label_color;L.globalAlpha=this.alpha_generator.gen_alpha(T);if(E=="Dense"){G=1}if(E==="no_detail"){L.fillStyle=C;L.fillRect(Z,W+5,M-Z,f)}else{var J=T[4],V=T[5],aa=T[6],D=T[7];if(V&&aa){P=Math.floor(Math.max(0,(V-N)*ai));al=Math.ceil(Math.min(z,Math.max(0,(aa-N)*ai)))}var ah,R;if(E==="Squish"||E==="Dense"){ah=1;R=e}else{ah=5;R=a}if(!D){if(T.strand){if(T.strand==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(T.strand==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}}else{L.fillStyle=C}L.fillRect(Z,W,M-Z,R)}else{var I,S;if(E==="Squish"||E==="Dense"){L.fillStyle=h;I=W+Math.floor(e/2)+1;S=1}else{if(J){var I=W;var S=R;if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand")}}}else{L.fillStyle=h;I+=(e/2)+1;S=1}}L.fillRect(Z,I,M-Z,S);for(var af=0,B=D.length;af<B;af++){var F=D[af],A=Math.floor(Math.max(0,(F[0]-N)*ai)),U=Math.ceil(Math.min(z,Math.max((F[1]-N)*ai)));if(A>U){continue}L.fillStyle=C;L.fillRect(A,W+(R-ah)/2+1,U-A,ah);if(P!==undefined&&aa>V&&!(A>al||U<P)){var ad=Math.max(A,P),H=Math.min(U,al);L.fillRect(ad,W+1,H-ad,R);if(D.length==1&&E=="Pack"){if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}if(ad+14<H){ad+=2;H-=2}L.fillRect(ad,W+1,H-ad,R)}}}}if(E==="Pack"&&ag>N){L.fillStyle=ab;if(N===0&&Z-L.measureText(O).width<0){L.textAlign="left";L.fillText(O,M+l,W+8);aj+=L.measureText(O).width+l}else{L.textAlign="right";L.fillText(O,Z-l,W+8);X-=L.measureText(O).width+l}}}L.globalAlpha=1;return[X,aj]}});var b=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(b.prototype,p.prototype,{draw_element:function(S,N,H,D,V,B,K,T,Q){var H=data[i],J=H[0],R=H[1],C=H[2],M=H[3],F=Math.floor(Math.max(0,(R-V)*K)),I=Math.ceil(Math.min(Q,Math.max(0,(C-V)*K))),E=(N==="Dense"?0:(0+D))*T,z,W,A=null,L=null;if(no_label){S.fillStyle=block_color;S.fillRect(F+left_offset,E+5,I-F,1)}else{var U=H[4],P=H[5],G=H[6];z=9;W=1;S.fillRect(F+left_offset,E,I-F,z);if(N!=="Dense"&&M!==undefined&&R>V){S.fillStyle=label_color;if(V===0&&F-S.measureText(M).width<0){S.textAlign="left";S.fillText(M,I+2+left_offset,E+8)}else{S.textAlign="right";S.fillText(M,F-2+left_offset,E+8)}S.fillStyle=block_color}var O=U+" / "+P;if(R>V&&S.measureText(O).width<(I-F)){S.fillStyle="white";S.textAlign="center";S.fillText(O,left_offset+F+(I-F)/2,E+8);S.fillStyle=block_color}}return[F,I]}});var u=function(D,F,z,C,E,A,B){p.call(this,D,F,z,C,E,A);this.ref_seq=B};u.prototype.default_prefs=v({},p.prototype.default_prefs,{show_insertions:false});v(u.prototype,p.prototype,{get_row_height:function(){var z,A=this.mode;if(A==="Dense"){z=d}else{if(A==="Squish"){z=m}else{z=x;if(this.prefs.show_insertions){z*=2}}}return z},draw_read:function(V,Q,M,aa,B,U,J,G,F){V.textAlign="center";var T=this,A=[aa,B],P=0,W=0,S=0;ref_seq=this.ref_seq,char_width_px=V.canvas.manager.char_width_px;var af=[];if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){S=Math.round(M/2)}if(!J){J=[[0,G.length]]}for(var N=0,Y=J.length;N<Y;N++){var K=J[N],C="MIDNSHP=X"[K[0]],O=K[1];if(C==="H"||C==="S"){P-=O}var H=U+P,ae=Math.floor(Math.max(0,(H-aa)*M)),I=Math.floor(Math.max(0,(H+O-aa)*M));if(ae===I){I+=1}switch(C){case"H":break;case"S":case"M":case"=":if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(S>0){V.fillStyle=this.prefs.block_color;V.fillRect(ae-S,F+1,I-ae,9);V.fillStyle=h;for(var 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ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad-(I-ae)/2,F)}}else{V.fillStyle="yellow";V.fillRect(E,F+(this.mode!=="Dense"?2:5),I-ae,(Q!=="Dense"?e:t))}}else{if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){af[af.length]={type:"text",data:[R.length,Z,F+9]}}else{}}}W+=O;break;case"X":W+=O;break}}V.fillStyle="yellow";var ab,D,ag;for(var X=0;X<af.length;X++){ab=af[X];D=ab.type;ag=ab.data;if(D==="text"){V.save();V.font="bold "+V.font;V.fillText(ag[0],ag[1],ag[2]);V.restore()}else{if(D=="triangle"){r(V,ag[0],ag[1],ag[2])}}}},draw_element:function(S,N,F,C,V,A,J,T,Q){var I=F[0],R=F[1],B=F[2],K=F[3],E=Math.floor(Math.max(0,(R-V)*J)),G=Math.ceil(Math.min(Q,Math.max(0,(B-V)*J))),D=(N==="Dense"?0:(0+C))*T,W=this.prefs.block_color,H=this.prefs.label_color,P=0;if((N==="Pack"||this.mode==="Auto")&&J>S.canvas.manager.char_width_px){var P=Math.round(J/2)}S.fillStyle=W;if(F[5] instanceof Array){var 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",K="A converter for this dataset is not installed. Please check your datatypes_conf.xml file.",F="No data for this chrom/contig.",u="Currently indexing... please wait",y="Tool cannot be rerun: ",a="Loading data...",aa="Ready for display",d=10,v=5,C=5;function ab(ai,ah){if(!ah){ah=0}var aj=Math.pow(10,ah);return Math.round(ai*aj)/aj}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var 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al=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},aj=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(am){if((am.keyCode||am.which)===27){al()}else{if((am.keyCode||am.which)===13){aj()}}};$(window).bind("keypress.check_enter_esc",ak);show_modal("Configure Group",ai.config.build_form(),{Cancel:al,OK:aj})};ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)}});var ae=function(ah,ak,aj,ai){z.call(this,"View");this.container=ah;this.chrom=null;this.vis_id=aj;this.dbkey=ai;this.title=ak;this.label_tracks=[];this.tracks_to_be_redrawn=[];this.max_low=0;this.max_high=0;this.zoom_factor=3;this.min_separation=30;this.has_changes=false;this.load_chroms_deferred=null;this.init();this.canvas_manager=new ag(ah.get(0).ownerDocument);this.reset()};q(ae.prototype,z.prototype,{init:function(){var aj=this.container,ah=this;this.top_container=$("<div/>").addClass("top-container").appendTo(aj);this.browser_content_div=$("<div/>").addClass("content").css("position","relative").appendTo(aj);this.bottom_container=$("<div/>").addClass("bottom-container").appendTo(aj);this.top_labeltrack=$("<div/>").addClass("top-labeltrack").appendTo(this.top_container);this.viewport_container=$("<div/>").addClass("viewport-container").attr("id","viewport-container").appendTo(this.browser_content_div);this.content_div=this.viewport_container;m(this.viewport_container,ah);this.intro_div=$("<div/>").addClass("intro");var ak=$("<div/>").text("Add Datasets to Visualization").addClass("action-button").appendTo(this.intro_div).click(function(){add_tracks()});this.nav_labeltrack=$("<div/>").addClass("nav-labeltrack").appendTo(this.bottom_container);this.nav_container=$("<div/>").addClass("nav-container").prependTo(this.top_container);this.nav=$("<div/>").addClass("nav").appendTo(this.nav_container);this.overview=$("<div/>").addClass("overview").appendTo(this.bottom_container);this.overview_viewport=$("<div/>").addClass("overview-viewport").appendTo(this.overview);this.overview_close=$("<a href='javascript:void(0);'>Close Overview</a>").addClass("overview-close").hide().appendTo(this.overview_viewport);this.overview_highlight=$("<div/>").addClass("overview-highlight").hide().appendTo(this.overview_viewport);this.overview_box_background=$("<div/>").addClass("overview-boxback").appendTo(this.overview_viewport);this.overview_box=$("<div/>").addClass("overview-box").appendTo(this.overview_viewport);this.default_overview_height=this.overview_box.height();this.nav_controls=$("<div/>").addClass("nav-controls").appendTo(this.nav);this.chrom_select=$("<select/>").attr({name:"chrom"}).css("width","15em").addClass("no-autocomplete").append("<option value=''>Loading</option>").appendTo(this.nav_controls);var ai=function(al){if(al.type==="focusout"||(al.keyCode||al.which)===13||(al.keyCode||al.which)===27){if((al.keyCode||al.which)!==27){ah.go_to($(this).val())}$(this).hide();$(this).val("");ah.location_span.show();ah.chrom_select.show()}};this.nav_input=$("<input/>").addClass("nav-input").hide().bind("keyup focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new B(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(am,ai,ao){if(!am||am==="None"){return}var aj=this;if(am==="previous"){aj.load_chroms({low:this.chrom_start_index-x});return}if(am==="next"){aj.load_chroms({low:this.chrom_start_index+x});return}var an=$.grep(aj.chrom_data,function(ap,aq){return ap.chrom===am})[0];if(an===undefined){aj.load_chroms({chrom:am},function(){aj.change_chrom(am,ai,ao)});return}else{if(am!==aj.chrom){aj.chrom=am;aj.chrom_select.val(aj.chrom);aj.max_high=an.len-1;aj.reset();aj.request_redraw(true);for(var al=0,ah=aj.drawables.length;al<ah;al++){var ak=aj.drawables[al];if(ak.init){ak.init()}}}if(ai!==undefined&&ao!==undefined){aj.low=Math.max(ai,0);aj.high=Math.min(ao,aj.max_high)}aj.reset_overview();aj.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){z.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){z.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.drawables),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(D,Math.ceil(Math.log((this.high-this.low)/S)/Math.log(D)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new O(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new R(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new W(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(K)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(y+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var O=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){O.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var X=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(X.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=ah[this.index];return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new X(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var P=function(ai,ah){M.AlphaGenerator.call(this,ah);this.filter=ai};P.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var G=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(G.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(ah,ak,aj,ai,al){this.track=ah;this.index=ak;this.low=ak*S*aj;this.high=(ak+1)*S*aj;this.resolution=aj;this.canvas=$("<div class='track-tile'/>").append(ai);this.data=al;this.stale=false};b.prototype.predisplay_actions=function(){};var l=function(ah,ak,aj,ai,al,am){b.call(this,ah,ak,aj,ai,al);this.max_val=am};q(l.prototype,b.prototype);var Q=function(ah,al,ak,aj,an,ao,am,ai){b.call(this,ah,al,ak,aj,an);this.mode=ao;this.message=am;this.feature_mapper=ai};q(Q.prototype,b.prototype);Q.prototype.predisplay_actions=function(){var ai=this,ah={};if(ai.mode!=="Pack"){return}$(this.canvas).mousemove(function(au){var ao=$(this).offset(),at=au.pageX-ao.left,ar=au.pageY-ao.top,ay=ai.feature_mapper.get_feature_data(at,ar),ap=(ay?ay[0]:null);$(this).siblings(".feature-popup").each(function(){if(!ap||$(this).attr("id")!==ap.toString()){$(this).remove()}});if(ay){var ak=ah[ap];if(!ak){var ap=ay[0],av={name:ay[3],start:ay[1],end:ay[2],strand:ay[4]},an=ai.track.filters_manager.filters,am;for(var aq=0;aq<an.length;aq++){am=an[aq];av[am.name]=ay[am.index]}var ak=$("<div/>").attr("id",ap).addClass("feature-popup"),ax,aw,az=$("<table/>").appendTo(ak),aA;for(ax in av){aw=av[ax];aA=$("<tr/>").appendTo(az);$("<th/>").appendTo(aA).text(ax);$("<td/>").attr("align","left").appendTo(aA).text(typeof(aw)=="number"?ab(aw,2):aw)}ah[ap]=ak}ak.appendTo($(ai.canvas).parent());var al=at+parseInt(ai.canvas.css("left"))+7,aj=ar+parseInt(ai.canvas.css("top"))+7;ak.css("left",al+"px").css("top",aj+"px")}else{if(!au.isPropagationStopped()){au.stopPropagation();$(this).siblings().each(function(){$(this).trigger(au)})}}}).mouseleave(function(){$(this).siblings(".feature-popup").remove()})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:L);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof B){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Y){return"ReadTrack"}else{if(this instanceof W){return"ToolDataFeatureTrack"}else{if(this instanceof V){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(K)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(F)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(aa);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var N=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(N.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(D,Math.ceil(Math.log((view.max_high-view.max_low)/S)/Math.log(D))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?U:0));new_tile=new b(ah,-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof B)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/S);var ap=true;var at=[];var ah=0;while((ai*S*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",E)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*S*an,ax=ap+S*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:E-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}ao.predisplay_actions();var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*S*ai,al=S*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var B=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});N.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new I(C,this,false);this.tile_cache=new c(v)};q(B.prototype,r.prototype,N.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=S*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(al,ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);N.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new T(C,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.dataset_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.dataset_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,N.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this;ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(ai){ah.container_div.addClass("line-track");var ak=ai.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=ak.min;ah.prefs.max_value=ak.max;$("#track_"+ah.dataset_id+"_minval").val(ah.prefs.min_value);$("#track_"+ah.dataset_id+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=ak.total_frequency;ah.container_div.find(".yaxislabel").remove();var al=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ah.dataset_id+"_minval").text(ab(ah.prefs.min_value,3));var aj=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ah.dataset_id+"_maxval").text(ab(ah.prefs.max_value,3));aj.css({position:"absolute",top:"24px",left:"10px"});aj.prependTo(ah.container_div);al.css({position:"absolute",bottom:"2px",left:"10px"});al.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new M.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(this.track,aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);N.call(this,ak,al);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new T(20,this);this.left_offset=200;this.painter=M.LinkedFeaturePainter};q(e.prototype,r.prototype,N.prototype,{postdraw_actions:function(ax,ah,ay,aw){N.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",A,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>J){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+U;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new M.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,U);aM.draw(aD,aC,an);return new l(aB,aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var aG=false;var av;for(var aK=0,aN=au.length;aK<aN;aK++){av=au[aK];av.update_attrs(ao);if(!av.keep(ao)){aG=true;break}}if(!aG){aq.push(ao)}}}var aA=(this.filters_manager.alpha_filter?new P(this.filters_manager.alpha_filter):null);var aM=new (this.painter)(aq,aL,ai,this.prefs,az,aA,ak);var an=Math.max(af,aM.get_required_height(ap));var aj=this.view.canvas_manager.new_canvas();var aJ=null;aj.width=aC+al;aj.height=an;var aD=aj.getContext("2d");aD.fillStyle=this.prefs.block_color;aD.font=aD.canvas.manager.default_font;aD.textAlign="right";this.container_div.find(".yaxislabel").remove();if(aw.data){aD.translate(al,0);aJ=aM.draw(aD,aC,an,ax);aJ.translation=-al}return new Q(aB,aI,aE,aj,aw.data,az,aw.message,aJ)}});var V=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.painter=M.VariantPainter};q(V.prototype,r.prototype,N.prototype,e.prototype);var Y=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=M.ReadPainter;this.make_name_popup_menu()};q(Y.prototype,r.prototype,N.prototype,e.prototype);var W=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(W.prototype,r.prototype,N.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=L;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});Z.View=ae;Z.DrawableGroup=R;Z.LineTrack=k;Z.FeatureTrack=e;Z.ReadTrack=Y};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var D=A-E/2,C=A+E/2,F=z-Math.sqrt(E*3/2);B.beginPath();B.moveTo(D,F);B.lineTo(C,F);B.lineTo(A,z);B.lineTo(D,F);B.strokeStyle=this.fillStyle;B.fill();B.stroke();B.closePath()};var g=function(z){this.default_alpha=(z?z:1)};g.prototype.gen_alpha=function(z){return this.default_alpha};var n=function(B,D,z,A,C){this.data=B;this.view_start=D;this.view_end=z;this.prefs=v({},this.default_prefs,A);this.mode=C};n.prototype.default_prefs={};var w=function(B,D,z,A,C){n.call(this,B,D,z,A,C)};w.prototype.default_prefs={show_counts:false};w.prototype.draw=function(M,z,L){var E=this.view_start,O=this.view_end-this.view_start,N=z/O;var J=this.data.data,I=this.data.delta,G=this.data.max,B=L;delta_x_px=Math.ceil(I*N);M.save();for(var C=0,D=J.length;C<D;C++){var H=Math.floor((J[C][0]-E)*N);var F=J[C][1];if(!F){continue}var K=F/G*L;if(F!==0&&K<1){K=1}M.fillStyle=this.prefs.block_color;M.fillRect(H,B-K,delta_x_px,K);var A=4;if(this.prefs.show_counts&&(M.measureText(F).width+A)<delta_x_px){M.fillStyle=this.prefs.label_color;M.textAlign="center";M.fillText(F,H+(delta_x_px/2),10)}}M.restore()};var c=function(z,D,F,G,B){n.call(this,z,D,F,G,B);if(this.prefs.min_value===undefined){var H=Infinity;for(var A=0,C=this.data.length;A<C;A++){H=Math.min(H,this.data[A][1])}this.prefs.min_value=H}if(this.prefs.max_value===undefined){var E=-Infinity;for(var A=0,C=this.data.length;A<C;A++){E=Math.max(E,this.data[A][1])}this.prefs.max_value=E}};c.prototype.default_prefs={min_value:undefined,max_value:undefined,mode:"Histogram",color:"#000",overflow_color:"#F66"};c.prototype.draw=function(N,M,K){var F=false,H=this.prefs.min_value,D=this.prefs.max_value,J=D-H,z=K,A=this.view_start,L=this.view_end-this.view_start,B=M/L,I=this.mode,T=this.data;N.save();var U=Math.round(K+H/J*K);if(I!=="Intensity"){N.fillStyle="#aaa";N.fillRect(0,U,M,1)}N.beginPath();var R,E,C;if(T.length>1){C=Math.ceil((T[1][0]-T[0][0])*B)}else{C=10}for(var O=0,P=T.length;O<P;O++){N.fillStyle=this.prefs.color;R=Math.round((T[O][0]-A)*B);E=T[O][1];var Q=false,G=false;if(E===null){if(F&&I==="Filled"){N.lineTo(R,z)}F=false;continue}if(E<H){G=true;E=H}else{if(E>D){Q=true;E=D}}if(I==="Histogram"){E=Math.round(E/J*z);N.fillRect(R,U,C,-E)}else{if(I==="Intensity"){E=255-Math.floor((E-H)/J*255);N.fillStyle="rgb("+E+","+E+","+E+")";N.fillRect(R,0,C,z)}else{E=Math.round(z-(E-H)/J*z);if(F){N.lineTo(R,E)}else{F=true;if(I==="Filled"){N.moveTo(R,z);N.lineTo(R,E)}else{N.moveTo(R,E)}}}}N.fillStyle=this.prefs.overflow_color;if(Q||G){var S;if(I==="Histogram"||I==="Intensity"){S=C}else{R-=2;S=4}if(Q){N.fillRect(R,0,S,3)}if(G){N.fillRect(R,z-3,S,3)}}N.fillStyle=this.prefs.color}if(I==="Filled"){if(F){N.lineTo(R,U);N.lineTo(0,U)}N.fill()}else{N.stroke()}N.restore()};var o=function(z){this.feature_positions={};this.slot_height=z;this.translation=0};o.prototype.map_feature_data=function(A,C,z,B){if(!this.feature_positions[C]){this.feature_positions[C]=[]}this.feature_positions[C].push({data:A,x_start:z,x_end:B})};o.prototype.get_feature_data=function(z,D){var C=Math.floor(D/this.slot_height),B;if(!this.feature_positions[C]){return null}z+=this.translation;for(var A=0;A<this.feature_positions[C].length;A++){B=this.feature_positions[C][A];if(z>=B.x_start&&z<=B.x_end){return B.data}}};var p=function(C,E,z,B,D,A){n.call(this,C,E,z,B,D);this.alpha_generator=(A?A:new g())};p.prototype.default_prefs={block_color:"#FFF",connector_color:"#FFF"};v(p.prototype,{get_required_height:function(A){var z=y_scale=this.get_row_height(),B=this.mode;if(B==="no_detail"||B==="Squish"||B==="Pack"){z=A*y_scale}return z+Math.max(Math.round(y_scale/2),5)},draw:function(L,J,H,G){var R=this.data,E=this.view_start,N=this.view_end;L.save();L.fillStyle=this.prefs.block_color;L.textAlign="right";var I=this.view_end-this.view_start,F=J/I,M=this.get_row_height(),Q=new o(M),C;for(var O=0,P=R.length;O<P;O++){var B=R[O],D=B[0],K=B[1],z=B[2],A=(G&&G[D]!==undefined?G[D]:null);if((K<N&&z>E)&&(this.mode=="Dense"||A!==null)){C=this.draw_element(L,this.mode,B,A,E,N,F,M,J);Q.map_feature_data(B,A,C[0],C[1])}}L.restore();return Q},draw_element:function(F,B,H,D,C,E,G,A,z){console.log("WARNING: Unimplemented function.");return[0,0]}});var d=10,j=3,m=5,x=10,f=1,t=3,e=3,a=9,l=2,h="#ccc";var s=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(s.prototype,p.prototype,{get_row_height:function(){var A=this.mode,z;if(A==="Dense"){z=d}else{if(A==="no_detail"){z=j}else{if(A==="Squish"){z=m}else{z=x}}}return z},draw_element:function(L,E,T,G,N,ae,ai,ak,z){var Q=T[0],ag=T[1],Y=T[2],O=T[3],Z=Math.floor(Math.max(0,(ag-N)*ai)),M=Math.ceil(Math.min(z,Math.max(0,(Y-N)*ai))),X=Z,aj=M,W=(E==="Dense"?0:(0+G))*ak,K,ac,P=null,al=null,C=this.prefs.block_color,ab=this.prefs.label_color;L.globalAlpha=this.alpha_generator.gen_alpha(T);if(E=="Dense"){G=1}if(E==="no_detail"){L.fillStyle=C;L.fillRect(Z,W+5,M-Z,f)}else{var J=T[4],V=T[5],aa=T[6],D=T[7];if(V&&aa){P=Math.floor(Math.max(0,(V-N)*ai));al=Math.ceil(Math.min(z,Math.max(0,(aa-N)*ai)))}var ah,R;if(E==="Squish"||E==="Dense"){ah=1;R=e}else{ah=5;R=a}if(!D){if(T.strand){if(T.strand==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(T.strand==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}}else{L.fillStyle=C}L.fillRect(Z,W,M-Z,R)}else{var I,S;if(E==="Squish"||E==="Dense"){L.fillStyle=h;I=W+Math.floor(e/2)+1;S=1}else{if(J){var I=W;var S=R;if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand")}}}else{L.fillStyle=h;I+=(e/2)+1;S=1}}L.fillRect(Z,I,M-Z,S);for(var af=0,B=D.length;af<B;af++){var F=D[af],A=Math.floor(Math.max(0,(F[0]-N)*ai)),U=Math.ceil(Math.min(z,Math.max((F[1]-N)*ai)));if(A>U){continue}L.fillStyle=C;L.fillRect(A,W+(R-ah)/2+1,U-A,ah);if(P!==undefined&&aa>V&&!(A>al||U<P)){var ad=Math.max(A,P),H=Math.min(U,al);L.fillRect(ad,W+1,H-ad,R);if(D.length==1&&E=="Pack"){if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}if(ad+14<H){ad+=2;H-=2}L.fillRect(ad,W+1,H-ad,R)}}}}if(E==="Pack"&&ag>N){L.fillStyle=ab;if(N===0&&Z-L.measureText(O).width<0){L.textAlign="left";L.fillText(O,M+l,W+8);aj+=L.measureText(O).width+l}else{L.textAlign="right";L.fillText(O,Z-l,W+8);X-=L.measureText(O).width+l}}}L.globalAlpha=1;return[X,aj]}});var b=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(b.prototype,p.prototype,{draw_element:function(S,N,H,D,V,B,K,T,Q){var H=data[i],J=H[0],R=H[1],C=H[2],M=H[3],F=Math.floor(Math.max(0,(R-V)*K)),I=Math.ceil(Math.min(Q,Math.max(0,(C-V)*K))),E=(N==="Dense"?0:(0+D))*T,z,W,A=null,L=null;if(no_label){S.fillStyle=block_color;S.fillRect(F+left_offset,E+5,I-F,1)}else{var U=H[4],P=H[5],G=H[6];z=9;W=1;S.fillRect(F+left_offset,E,I-F,z);if(N!=="Dense"&&M!==undefined&&R>V){S.fillStyle=label_color;if(V===0&&F-S.measureText(M).width<0){S.textAlign="left";S.fillText(M,I+2+left_offset,E+8)}else{S.textAlign="right";S.fillText(M,F-2+left_offset,E+8)}S.fillStyle=block_color}var O=U+" / "+P;if(R>V&&S.measureText(O).width<(I-F)){S.fillStyle="white";S.textAlign="center";S.fillText(O,left_offset+F+(I-F)/2,E+8);S.fillStyle=block_color}}return[F,I]}});var u=function(D,F,z,C,E,A,B){p.call(this,D,F,z,C,E,A);this.ref_seq=B};u.prototype.default_prefs=v({},p.prototype.default_prefs,{show_insertions:false});v(u.prototype,p.prototype,{get_row_height:function(){var z,A=this.mode;if(A==="Dense"){z=d}else{if(A==="Squish"){z=m}else{z=x;if(this.prefs.show_insertions){z*=2}}}return z},draw_read:function(V,Q,M,aa,B,U,J,G,F){V.textAlign="center";var T=this,A=[aa,B],P=0,W=0,S=0;ref_seq=this.ref_seq,char_width_px=V.canvas.manager.char_width_px;var af=[];if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){S=Math.round(M/2)}if(!J){J=[[0,G.length]]}for(var N=0,Y=J.length;N<Y;N++){var K=J[N],C="MIDNSHP=X"[K[0]],O=K[1];if(C==="H"||C==="S"){P-=O}var H=U+P,ae=Math.floor(Math.max(0,(H-aa)*M)),I=Math.floor(Math.max(0,(H+O-aa)*M));if(ae===I){I+=1}switch(C){case"H":break;case"S":case"M":case"=":if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(S>0){V.fillStyle=this.prefs.block_color;V.fillRect(ae-S,F+1,I-ae,9);V.fillStyle=h;for(var ac=0,z=R.length;ac<z;ac++){if(this.prefs.show_differences&&ref_seq){var L=ref_seq[H-aa+ac];if(!L||L.toLowerCase()===R[ac].toLowerCase()){continue}}if(H+ac>=aa&&H+ac<=B){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad,F+9)}}}else{V.fillStyle=this.prefs.block_color;V.fillRect(ae,F+4,I-ae,e)}}W+=O;P+=O;break;case"N":V.fillStyle=h;V.fillRect(ae-S,F+5,I-ae,1);P+=O;break;case"D":V.fillStyle="red";V.fillRect(ae-S,F+4,I-ae,3);P+=O;break;case"P":break;case"I":var Z=ae-S;if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(this.prefs.show_insertions){var E=ae-(I-ae)/2;if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){V.fillStyle="yellow";V.fillRect(E-S,F-9,I-ae,9);af[af.length]={type:"triangle",data:[Z,F+4,5]};V.fillStyle=h;switch(seq_tile_overlap){case (OVERLAP_START):R=R.slice(aa-H);break;case (OVERLAP_END):R=R.slice(0,H-B);break;case (CONTAINED_BY):break;case (CONTAINS):R=R.slice(aa-H,H-B);break}for(var ac=0,z=R.length;ac<z;ac++){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad-(I-ae)/2,F)}}else{V.fillStyle="yellow";V.fillRect(E,F+(this.mode!=="Dense"?2:5),I-ae,(Q!=="Dense"?e:t))}}else{if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){af[af.length]={type:"text",data:[R.length,Z,F+9]}}else{}}}W+=O;break;case"X":W+=O;break}}V.fillStyle="yellow";var ab,D,ag;for(var X=0;X<af.length;X++){ab=af[X];D=ab.type;ag=ab.data;if(D==="text"){V.save();V.font="bold "+V.font;V.fillText(ag[0],ag[1],ag[2]);V.restore()}else{if(D=="triangle"){r(V,ag[0],ag[1],ag[2])}}}},draw_element:function(S,N,F,C,V,A,J,T,Q){var I=F[0],R=F[1],B=F[2],K=F[3],E=Math.floor(Math.max(0,(R-V)*J)),G=Math.ceil(Math.min(Q,Math.max(0,(B-V)*J))),D=(N==="Dense"?0:(0+C))*T,W=this.prefs.block_color,H=this.prefs.label_color,P=0;if((N==="Pack"||this.mode==="Auto")&&J>S.canvas.manager.char_width_px){var P=Math.round(J/2)}S.fillStyle=W;if(F[5] instanceof Array){var O=Math.floor(Math.max(0,(F[4][0]-V)*J)),M=Math.ceil(Math.min(Q,Math.max(0,(F[4][1]-V)*J))),L=Math.floor(Math.max(0,(F[5][0]-V)*J)),z=Math.ceil(Math.min(Q,Math.max(0,(F[5][1]-V)*J)));if(F[4][1]>=V&&F[4][0]<=A&&F[4][2]){this.draw_read(S,N,J,V,A,F[4][0],F[4][2],F[4][3],D)}if(F[5][1]>=V&&F[5][0]<=A&&F[5][2]){this.draw_read(S,N,J,V,A,F[5][0],F[5][2],F[5][3],D)}if(L>M){S.fillStyle=h;q(S,M-P,D+5,L-P,D+5)}}else{S.fillStyle=W;this.draw_read(S,N,J,V,A,R,F[4],F[5],D)}if(N==="Pack"&&R>V){S.fillStyle=this.prefs.label_color;var U=1;if(U===0&&E-S.measureText(K).width<0){S.textAlign="left";S.fillText(K,G+l-P,D+8)}else{S.textAlign="right";S.fillText(K,E-l-P,D+8)}S.fillStyle=W}return[0,0]}});y.AlphaGenerator=g;y.SummaryTreePainter=w;y.LinePainter=c;y.LinkedFeaturePainter=s;y.ReadPainter=u;y.VariantPainter=b};(function(d){var c={};var b=function(e){return c[e]};var a=function(f,g){var e={};g(b,e);c[f]=e};a("class",class_module);a("slotting",slotting_module);a("painters",painters_module);a("trackster",trackster_module);for(key in c.trackster){d[key]=c.trackster[key]}})(window);
\ No newline at end of file
--- a/static/scripts/packed/trackster_ui.js Wed Oct 12 11:19:42 2011 -0400
+++ b/static/scripts/packed/trackster_ui.js Wed Oct 12 11:19:58 2011 -0400
@@ -1,1 +1,1 @@
-var add_bookmark=function(b,a){var g=$("#bookmarks-container"),d=$("<div/>").addClass("bookmark").appendTo(g),c=$("<div/>").addClass("delete-icon-container").appendTo(d).click(function(){d.slideUp("fast");d.remove();view.has_changes=true;return false}),e=$("<a href=''/>").addClass("icon-button delete").appendTo(c),f=$("<div/>").addClass("position").appendTo(d),h=$("<a href=''/>").text(b).appendTo(f).click(function(){view.go_to(b);return false});annotation_div=get_editable_text_elt(a,true).addClass("annotation").appendTo(d);view.has_changes=true;return d};var addable_objects={LineTrack:LineTrack,FeatureTrack:FeatureTrack,ReadTrack:ReadTrack,DrawableGroup:DrawableGroup};var track_from_dict=function(c,b){var a=new addable_objects[c.track_type](c.name,view,b,c.hda_ldda,c.dataset_id,c.prefs,c.filters,c.tool);if(c.mode){a.change_mode(c.mode)}return a};var drawable_collection_from_dict=function(f,a){var e=new addable_objects[f.obj_type](f.name,view,a,f.prefs,view.viewport_container,view);for(var d=0;d<f.drawables.length;d++){var b=f.drawables[d],c;if(b.track_type){c=track_from_dict(b,e)}else{c=drawable_collection_from_dict(b)}e.add_drawable(c);e.content_div.append(c.container_div)}return e};var drawable_from_dict=function(b,a){return(b.track_type?track_from_dict(b,a):drawable_collection_from_dict(b,a))};var create_visualization=function(b,e,g,c,a,d,f){view=new View(b,e,g,c);view.editor=true;$.when(view.load_chroms_deferred).then(function(){if(a){var k=a.chrom,p=a.start,h=a.end,m=a.overview;if(k&&(p!==undefined)&&h){view.change_chrom(k,p,h)}}if(d){var o;for(var j=0;j<d.length;j++){o=d[j];view.add_drawable(drawable_from_dict(o,view))}}var n;for(var j=0;j<view.tracks.length;j++){if(view.tracks[j].name==m){view.set_overview(view.tracks[j]);break}}if(f){var l;for(var j=0;j<f.length;j++){l=f[j];add_bookmark(l.position,l.annotation)}}view.has_changes=false});return view};var init_keyboard_nav=function(a){$(document).keydown(function(b){if($(b.srcElement).is(":input")){return}switch(b.which){case 37:a.move_fraction(0.25);break;case 38:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("-="+c+"px");break;case 39:a.move_fraction(-0.25);break;case 40:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("+="+c+"px");break}})};
\ No newline at end of file
+var add_bookmark=function(b,a){var g=$("#bookmarks-container"),d=$("<div/>").addClass("bookmark").appendTo(g),c=$("<div/>").addClass("delete-icon-container").appendTo(d).click(function(){d.slideUp("fast");d.remove();view.has_changes=true;return false}),e=$("<a href=''/>").addClass("icon-button delete").appendTo(c),f=$("<div/>").addClass("position").appendTo(d),h=$("<a href=''/>").text(b).appendTo(f).click(function(){view.go_to(b);return false});annotation_div=get_editable_text_elt(a,true).addClass("annotation").appendTo(d);view.has_changes=true;return d};var addable_objects={LineTrack:LineTrack,FeatureTrack:FeatureTrack,ReadTrack:ReadTrack,DrawableGroup:DrawableGroup};var track_from_dict=function(c,b){var a=new addable_objects[c.track_type](c.name,view,b,c.hda_ldda,c.dataset_id,c.prefs,c.filters,c.tool);if(c.mode){a.change_mode(c.mode)}return a};var drawable_collection_from_dict=function(f,a){var e=new addable_objects[f.obj_type](f.name,view,a,f.prefs,view.viewport_container,view);for(var d=0;d<f.drawables.length;d++){var b=f.drawables[d],c;if(b.track_type){c=track_from_dict(b,e)}else{c=drawable_collection_from_dict(b)}e.add_drawable(c);e.content_div.append(c.container_div)}return e};var drawable_from_dict=function(b,a){return(b.track_type?track_from_dict(b,a):drawable_collection_from_dict(b,a))};var create_visualization=function(b,e,g,c,a,d,f){view=new View(b,e,g,c);view.editor=true;$.when(view.load_chroms_deferred).then(function(){if(a){var k=a.chrom,p=a.start,h=a.end,m=a.overview;if(k&&(p!==undefined)&&h){view.change_chrom(k,p,h)}}if(d){var o;for(var j=0;j<d.length;j++){o=d[j];view.add_drawable(drawable_from_dict(o,view))}}var n;for(var j=0;j<view.drawables.length;j++){if(view.drawables[j].name==m){view.set_overview(view.drawables[j]);break}}if(f){var l;for(var j=0;j<f.length;j++){l=f[j];add_bookmark(l.position,l.annotation)}}view.has_changes=false});return view};var init_keyboard_nav=function(a){$(document).keydown(function(b){if($(b.srcElement).is(":input")){return}switch(b.which){case 37:a.move_fraction(0.25);break;case 38:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("-="+c+"px");break;case 39:a.move_fraction(-0.25);break;case 40:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("+="+c+"px");break}})};
\ No newline at end of file
--- a/static/scripts/trackster.js Wed Oct 12 11:19:42 2011 -0400
+++ b/static/scripts/trackster.js Wed Oct 12 11:19:58 2011 -0400
@@ -309,10 +309,19 @@
CACHED_TILES_FEATURE = 10,
CACHED_TILES_LINE = 5,
CACHED_DATA = 5;
-
-function round_1000(num) {
- return Math.round(num * 1000) / 1000;
-};
+
+/**
+ * Round a number to a given number of decimal places.
+ */
+function round(num, places) {
+ // Default rounding is to integer.
+ if (!places) {
+ places = 0;
+ }
+
+ var val = Math.pow(10, places);
+ return Math.round(num * val) / val;
+}
/**
* Generic cache that handles key/value pairs.
@@ -799,8 +808,6 @@
this.vis_id = vis_id;
this.dbkey = dbkey;
this.title = title;
- // Alias tracks to point at drawables. TODO: changes tracks to 'drawables' or something similar.
- this.tracks = this.drawables;
this.label_tracks = [];
this.tracks_to_be_redrawn = [];
this.max_low = 0;
@@ -1097,10 +1104,10 @@
view.reset();
view.request_redraw(true);
- for (var track_id = 0, len = view.tracks.length; track_id < len; track_id++) {
- var track = view.tracks[track_id];
- if (track.init) {
- track.init();
+ for (var i = 0, len = view.drawables.length; i < len; i++) {
+ var drawable = view.drawables[i];
+ if (drawable.init) {
+ drawable.init();
}
}
}
@@ -1192,7 +1199,7 @@
var
view = this,
// Either redrawing a single track or all view's tracks.
- track_list = (track ? [track] : view.tracks),
+ track_list = (track ? [track] : view.drawables),
track_index;
// Add/update tracks in track list to redraw list.
@@ -1629,7 +1636,7 @@
// No element to filter on.
return true;
}
- var val = parseFloat(element[this.index]);
+ var val = element[this.index];
return (isNaN(val) || (val >= this.low && val <= this.high));
},
/**
@@ -2085,7 +2092,8 @@
/**
* Tiles drawn by tracks.
*/
-var Tile = function(index, resolution, canvas, data) {
+var Tile = function(track, index, resolution, canvas, data) {
+ this.track = track;
this.index = index;
this.low = index * DENSITY * resolution;
this.high = (index + 1) * DENSITY * resolution;
@@ -2096,26 +2104,114 @@
this.stale = false;
};
-var SummaryTreeTile = function(index, resolution, canvas, data, max_val) {
- Tile.call(this, index, resolution, canvas, data);
+/**
+ * Perform pre-display actions.
+ */
+Tile.prototype.predisplay_actions = function() {};
+
+var SummaryTreeTile = function(track, index, resolution, canvas, data, max_val) {
+ Tile.call(this, track, index, resolution, canvas, data);
this.max_val = max_val;
};
+extend(SummaryTreeTile.prototype, Tile.prototype);
-var FeatureTrackTile = function(index, resolution, canvas, data, message, feature_mapper) {
- Tile.call(this, index, resolution, canvas, data);
+var FeatureTrackTile = function(track, index, resolution, canvas, data, mode, message, feature_mapper) {
+ Tile.call(this, track, index, resolution, canvas, data);
+ this.mode = mode;
this.message = message;
this.feature_mapper = feature_mapper;
+};
+extend(FeatureTrackTile.prototype, Tile.prototype);
+
+/**
+ * Sets up support for popups.
+ */
+FeatureTrackTile.prototype.predisplay_actions = function() {
+ //
+ // Add support for popups.
+ //
+ var tile = this,
+ popups = {};
+
+ // Only show popups in Pack mode.
+ if (tile.mode !== "Pack") { return; }
- //
- // Set up display of feature data on mouseover.
- //
- var tile = this;
$(this.canvas).mousemove(function (e) {
- var feature_data = tile.feature_mapper.get_feature_data(e.offsetX, e.offsetY);
-
- // TODO: show popup with feature's information.
+ // Get feature data for position.
+ var
+ this_offset = $(this).offset(),
+ offsetX = e.pageX - this_offset.left,
+ offsetY = e.pageY - this_offset.top,
+ feature_data = tile.feature_mapper.get_feature_data(offsetX, offsetY),
+ feature_uid = (feature_data ? feature_data[0] : null);
+ // Hide visible popup if not over a feature or over a different feature.
+ $(this).siblings(".feature-popup").each(function() {
+ if ( !feature_uid ||
+ $(this).attr("id") !== feature_uid.toString() ) {
+ $(this).remove();
+ }
+ });
+
+ if (feature_data) {
+ // Get or create popup.
+ var popup = popups[feature_uid];
+ if (!popup) {
+ // Create feature's popup element.
+ var
+ feature_uid = feature_data[0],
+ feature_dict = {
+ name: feature_data[3],
+ start: feature_data[1],
+ end: feature_data[2],
+ strand: feature_data[4]
+ },
+ filters = tile.track.filters_manager.filters,
+ filter;
+
+ // Add filter values to feature dict.
+ for (var i = 0; i < filters.length; i++) {
+ filter = filters[i];
+ feature_dict[filter.name] = feature_data[filter.index];
+ }
+
+ // Build popup.
+
+ var popup = $("<div/>").attr("id", feature_uid).addClass("feature-popup"),
+ key, value,
+ table = $("<table/>").appendTo(popup), row;
+ for (key in feature_dict) {
+ value = feature_dict[key];
+ row = $("<tr/>").appendTo(table);
+ $("<th/>").appendTo(row).text(key);
+ $("<td/>").attr("align", "left").appendTo(row)
+ .text(typeof(value) == 'number' ? round(value, 2) : value);
+ }
+ popups[feature_uid] = popup;
+ }
+
+ // Attach popup to canvas's parent.
+ popup.appendTo($(tile.canvas).parent());
+
+ // Offsets are within canvas, but popup must be positioned relative to parent element.
+ // parseInt strips "px" from left, top measurements. +7 so that mouse pointer does not
+ // overlap popup.
+ var
+ popupX = offsetX + parseInt( tile.canvas.css("left") ) + 7,
+ popupY = offsetY + parseInt( tile.canvas.css("top") ) + 7;
+ popup.css("left", popupX + "px").css("top", popupY + "px")
+ }
+ else if (!e.isPropagationStopped()) {
+ // Propogate event to other tiles because overlapping tiles prevent mousemove from being
+ // called on tiles under this tile.
+ e.stopPropagation();
+ $(this).siblings().each(function() {
+ $(this).trigger(e);
+ });
+ }
+ })
+ .mouseleave(function() {
+ $(this).siblings(".feature-popup").remove();
});
-
};
/**
@@ -2223,7 +2319,6 @@
track.container_div.addClass("error");
track.content_div.text(DATA_ERROR);
if (result.message) {
- var track_id = track.view.tracks.indexOf(track);
var error_link = $(" <a href='javascript:void(0);'></a>").text("View error").click(function() {
show_modal( "Trackster Error", "<pre>" + result.message + "</pre>", { "Close" : hide_modal } );
});
@@ -2492,7 +2587,7 @@
data = src_ctx.getImageData(0, 0, src_ctx.canvas.width, src_ctx.canvas.height);
// Need to undo offsets when placing image data.
tgt_ctx.putImageData(data, -track.left_offset, (tile.data.dataset_type === "summary_tree" ? SUMMARY_TREE_TOP_PADDING : 0));
- new_tile = new Tile(-1, resolution, new_canvas);
+ new_tile = new Tile(track, -1, resolution, new_canvas);
overview_tile.resolve(new_tile);
});
@@ -2697,6 +2792,8 @@
//
// Show tile element.
//
+
+ tile.predisplay_actions();
// Position tile element, recalculate left position at display time
var range = this.view.high - this.view.low,
@@ -2812,7 +2909,7 @@
var c_start = Math.round(c * w_scale);
ctx.fillText(seq[c], c_start + track.left_offset, 10);
}
- return new Tile(tile_index, resolution, canvas, seq);
+ return new Tile(track, tile_index, resolution, canvas, seq);
}
this.content_div.css("height", "0px");
}
@@ -2851,8 +2948,8 @@
track.set_name(track.prefs.name);
track.vertical_range = track.prefs.max_value - track.prefs.min_value;
// Update the y-axis
- $('#linetrack_' + track.track_id + '_minval').text(track.prefs.min_value);
- $('#linetrack_' + track.track_id + '_maxval').text(track.prefs.max_value);
+ $('#linetrack_' + track.dataset_id + '_minval').text(track.prefs.min_value);
+ $('#linetrack_' + track.dataset_id + '_maxval').text(track.prefs.max_value);
track.tile_cache.clear();
track.request_draw();
}
@@ -2899,8 +2996,7 @@
}).appendTo(track.container_div);
},
predraw_init: function() {
- var track = this,
- track_id = track.view.tracks.indexOf(track);
+ var track = this;
track.vertical_range = undefined;
return $.getJSON( track.data_url, { stats: true, chrom: track.view.chrom, low: null, high: null,
@@ -2911,8 +3007,8 @@
track.prefs.min_value = data.min;
track.prefs.max_value = data.max;
// Update the config
- $('#track_' + track_id + '_minval').val(track.prefs.min_value);
- $('#track_' + track_id + '_maxval').val(track.prefs.max_value);
+ $('#track_' + track.dataset_id + '_minval').val(track.prefs.min_value);
+ $('#track_' + track.dataset_id + '_maxval').val(track.prefs.max_value);
}
track.vertical_range = track.prefs.max_value - track.prefs.min_value;
track.total_frequency = data.total_frequency;
@@ -2920,8 +3016,8 @@
// Draw y-axis labels if necessary
track.container_div.find(".yaxislabel").remove();
- var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_minval').text(round_1000(track.prefs.min_value));
- var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_maxval').text(round_1000(track.prefs.max_value));
+ var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track.dataset_id + '_minval').text(round(track.prefs.min_value, 3));
+ var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track.dataset_id + '_maxval').text(round(track.prefs.max_value, 3));
max_label.css({ position: "absolute", top: "24px", left: "10px" });
max_label.prependTo(track.container_div);
@@ -2955,7 +3051,7 @@
var painter = new painters.LinePainter(result.data, tile_low, tile_high, this.prefs, mode);
painter.draw(ctx, width, height);
- return new Tile(tile_index, resolution, canvas, result.data);
+ return new Tile(this.track, tile_index, resolution, canvas, result.data);
}
});
@@ -3288,7 +3384,7 @@
// Deal with left_offset by translating.
ctx.translate(left_offset, SUMMARY_TREE_TOP_PADDING);
painter.draw(ctx, width, required_height);
- return new SummaryTreeTile(tile_index, resolution, canvas, result.data, result.max);
+ return new SummaryTreeTile(track, tile_index, resolution, canvas, result.data, result.max);
}
// Start dealing with row-by-row tracks
@@ -3347,7 +3443,7 @@
feature_mapper.translation = -left_offset;
}
- return new FeatureTrackTile(tile_index, resolution, canvas, result.data, result.message, feature_mapper);
+ return new FeatureTrackTile(track, tile_index, resolution, canvas, result.data, mode, result.message, feature_mapper);
}
});
@@ -3891,7 +3987,7 @@
*/
FeaturePositionMapper.prototype.get_feature_data = function(x, y) {
// Find slot using Y.
- var slot = Math.floor(y/this.slot_height),
+ var slot = Math.floor( y/this.slot_height ),
feature_dict;
// May not be over a slot due to padding, margin, etc.
--- a/static/scripts/trackster_ui.js Wed Oct 12 11:19:42 2011 -0400
+++ b/static/scripts/trackster_ui.js Wed Oct 12 11:19:58 2011 -0400
@@ -113,9 +113,9 @@
// Set overview.
var overview_track;
- for (var i = 0; i < view.tracks.length; i++) {
- if (view.tracks[i].name == overview_track_name) {
- view.set_overview(view.tracks[i]);
+ for (var i = 0; i < view.drawables.length; i++) {
+ if (view.drawables[i].name == overview_track_name) {
+ view.set_overview(view.drawables[i]);
break;
}
}
--- a/tool_conf.xml.main Wed Oct 12 11:19:42 2011 -0400
+++ b/tool_conf.xml.main Wed Oct 12 11:19:58 2011 -0400
@@ -45,6 +45,7 @@
<tool file="filters/tailWrapper.xml" /><tool file="filters/trimmer.xml" /><tool file="filters/wc_gnu.xml" />
+ <tool file="filters/secure_hash_message_digest.xml" /></section><section name="Convert Formats" id="convert"><tool file="filters/bed2gff.xml" />
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: jgoecks: Remove duplicate history links in copy datasets done message.
by Bitbucket 12 Oct '11
by Bitbucket 12 Oct '11
12 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/56cb3ab8b5ef/
changeset: 56cb3ab8b5ef
user: jgoecks
date: 2011-10-12 15:52:30
summary: Remove duplicate history links in copy datasets done message.
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/web/controllers/dataset.py Tue Oct 11 16:53:21 2011 -0400
+++ b/lib/galaxy/web/controllers/dataset.py Wed Oct 12 09:52:30 2011 -0400
@@ -1141,9 +1141,6 @@
num_source = len( source_dataset_ids ) - invalid_datasets
num_target = len(target_histories)
done_msg = "%i %s copied to %i %s: %s." % (num_source, inflector.cond_plural(num_source, "dataset"), num_target, inflector.cond_plural(num_target, "history"), hist_names_str )
- if new_history is not None:
- done_msg += " <a href=\"%s\" target=\"_top\">Switch to the new history.</a>" % url_for(
- controller="history", action="switch_to_history", hist_id=trans.security.encode_id( new_history.id ) )
trans.sa_session.refresh( history )
source_datasets = history.visible_datasets
target_histories = [history]
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: jgoecks: Handle scores with value '.' in data providers.
by Bitbucket 11 Oct '11
by Bitbucket 11 Oct '11
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/1bc0b9fd0d08/
changeset: 1bc0b9fd0d08
user: jgoecks
date: 2011-10-11 22:53:21
summary: Handle scores with value '.' in data providers.
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/visualization/tracks/data_providers.py Tue Oct 11 16:00:04 2011 -0400
+++ b/lib/galaxy/visualization/tracks/data_providers.py Tue Oct 11 16:53:21 2011 -0400
@@ -205,7 +205,10 @@
# Score (filter data)
if length >= 5 and filter_cols and filter_cols[0] == "Score":
- payload.append( float(feature[4]) )
+ try:
+ payload.append( float( feature[4] ) )
+ except:
+ payload.append( feature[4] )
rval.append( payload )
@@ -828,7 +831,10 @@
# Add filter data to payload.
for col in filter_cols:
if col == "Score":
- payload.append( float( feature.score ) )
+ try:
+ payload.append( float( feature.score ) )
+ except:
+ payload.append( feature.score )
elif col in feature.attributes:
try:
payload.append( float( feature.attributes[col] ) )
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: jgoecks: When copying datasets, provide links to target histories.
by Bitbucket 11 Oct '11
by Bitbucket 11 Oct '11
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/2fcde6fbf1fb/
changeset: 2fcde6fbf1fb
user: jgoecks
date: 2011-10-11 22:00:04
summary: When copying datasets, provide links to target histories.
affected #: 1 file (-1 bytes)
--- a/lib/galaxy/web/controllers/dataset.py Tue Oct 11 14:47:34 2011 -0400
+++ b/lib/galaxy/web/controllers/dataset.py Tue Oct 11 16:00:04 2011 -0400
@@ -1134,7 +1134,10 @@
if history in target_histories:
refresh_frames = ['history']
trans.sa_session.flush()
- hist_names_str = ", ".join( [ hist.name for hist in target_histories ] )
+ hist_names_str = ", ".join( ['<a href="%s" target="_top">%s</a>' %
+ ( url_for( controller="history", action="switch_to_history", \
+ hist_id=trans.security.encode_id( hist.id ) ), hist.name ) \
+ for hist in target_histories ] )
num_source = len( source_dataset_ids ) - invalid_datasets
num_target = len(target_histories)
done_msg = "%i %s copied to %i %s: %s." % (num_source, inflector.cond_plural(num_source, "dataset"), num_target, inflector.cond_plural(num_target, "history"), hist_names_str )
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: jgoecks: Trackster: refactoring to remove (a) references to view.tracks because view can hold any drawable option and (b) track ids because they are no longer used.
by Bitbucket 11 Oct '11
by Bitbucket 11 Oct '11
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/da1399802707/
changeset: da1399802707
user: jgoecks
date: 2011-10-11 20:47:34
summary: Trackster: refactoring to remove (a) references to view.tracks because view can hold any drawable option and (b) track ids because they are no longer used.
affected #: 4 files (-1 bytes)
--- a/static/scripts/packed/trackster.js Tue Oct 11 14:14:06 2011 -0400
+++ b/static/scripts/packed/trackster.js Tue Oct 11 14:47:34 2011 -0400
@@ -1,1 +1,1 @@
-var class_module=function(b,a){var c=function(){var f=arguments[0];for(var e=1;e<arguments.length;e++){var d=arguments[e];for(key in d){f[key]=d[key]}}return f};a.extend=c};var requestAnimationFrame=(function(){return window.requestAnimationFrame||window.webkitRequestAnimationFrame||window.mozRequestAnimationFrame||window.oRequestAnimationFrame||window.msRequestAnimationFrame||function(b,a){window.setTimeout(b,1000/60)}})();var BEFORE=1001,CONTAINS=1002,OVERLAP_START=1003,OVERLAP_END=1004,CONTAINED_BY=1005,AFTER=1006;var compute_overlap=function(e,b){var g=e[0],f=e[1],d=b[0],c=b[1],a;if(g<d){if(f<d){a=BEFORE}else{if(f<=c){a=OVERLAP_START}else{a=CONTAINS}}}else{if(g>c){a=AFTER}else{if(f<=c){a=CONTAINED_BY}else{a=OVERLAP_END}}}return a};var is_overlap=function(c,b){var a=compute_overlap(c,b);return(a!==BEFORE&&a!==AFTER)};var trackster_module=function(f,Z){var q=f("class").extend,t=f("slotting"),M=f("painters");var ag=function(ah,ai){this.document=ah;this.default_font=ai!==undefined?ai:"9px Monaco, Lucida Console, monospace";this.dummy_canvas=this.new_canvas();this.dummy_context=this.dummy_canvas.getContext("2d");this.dummy_context.font=this.default_font;this.char_width_px=this.dummy_context.measureText("A").width;this.patterns={};this.load_pattern("right_strand","/visualization/strand_right.png");this.load_pattern("left_strand","/visualization/strand_left.png");this.load_pattern("right_strand_inv","/visualization/strand_right_inv.png");this.load_pattern("left_strand_inv","/visualization/strand_left_inv.png")};q(ag.prototype,{load_pattern:function(ah,al){var ai=this.patterns,aj=this.dummy_context,ak=new Image();ak.src=image_path+al;ak.onload=function(){ai[ah]=aj.createPattern(ak,"repeat")}},get_pattern:function(ah){return this.patterns[ah]},new_canvas:function(){var ah=this.document.createElement("canvas");if(window.G_vmlCanvasManager){G_vmlCanvasManager.initElement(ah)}ah.manager=this;return ah}});var o={};var m=function(ah,ai){o[ah.attr("id")]=ai};var n=function(ah,aj,al,ak){al=".group";var ai={};o[ah.attr("id")]=ak;ah.bind("drag",{handle:"."+aj,relative:true},function(au,av){var at=$(this);var ay=$(this).parent(),ap=ay.children(),ar=o[$(this).attr("id")],ao,an,aw,am,aq;an=$(this).parents(al);if(an.length!==0){aw=an.position().top;am=aw+an.outerHeight();if(av.offsetY<aw){$(this).insertBefore(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable_before(ar,ax);return}else{if(av.offsetY>am){$(this).insertAfter(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable(ar);return}}}an=null;for(aq=0;aq<ap.length;aq++){ao=$(ap.get(aq));aw=ao.position().top;am=aw+ao.outerHeight();if(ao.is(al)&&this!==ao.get(0)&&av.offsetY>=aw&&av.offsetY<=am){if(av.offsetY-aw<am-av.offsetY){ao.find(".content-div").prepend(this)}else{ao.find(".content-div").append(this)}if(ar.container){ar.container.remove_drawable(ar)}o[ao.attr("id")].add_drawable(ar);return}}for(aq=0;aq<ap.length;aq++){if(av.offsetY<$(ap.get(aq)).position().top){break}}if(aq===ap.length){if(this!==ap.get(aq-1)){ay.append(this);o[ay.attr("id")].move_drawable(ar,aq)}}else{if(this!==ap.get(aq)){$(this).insertBefore(ap.get(aq));o[ay.attr("id")].move_drawable(ar,(av.deltaY>0?aq-1:aq))}}}).bind("dragstart",function(){ai["border-top"]=ah.css("border-top");ai["border-bottom"]=ah.css("border-bottom");$(this).css({"border-top":"1px solid blue","border-bottom":"1px solid blue"})}).bind("dragend",function(){$(this).css(ai)})};Z.moveable=n;var af=16,H=9,E=20,U=H+2,A=100,J=12000,S=200,D=5,w=10,L=5000,x=100,p="There was an error in indexing this dataset. ",K="A converter for this dataset is not installed. Please check your datatypes_conf.xml file.",F="No data for this chrom/contig.",u="Currently indexing... please wait",y="Tool cannot be rerun: ",a="Loading data...",aa="Ready for display",d=10,v=5,C=5;function ab(ai,ah){if(!ah){ah=0}var aj=Math.pow(10,ah);return Math.round(ai*aj)/aj}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var T=function(ai,ah,aj){c.call(this,ai);this.track=ah;this.subset=(aj!==undefined?aj:true)};q(T.prototype,c.prototype,{load_data:function(aq,al,ao,ai,an){var ap=this.track.view.chrom,ak={chrom:ap,low:aq,high:al,mode:ao,resolution:ai,dataset_id:this.track.dataset_id,hda_ldda:this.track.hda_ldda};$.extend(ak,an);if(this.track.filters_manager){var ar=[];var ah=this.track.filters_manager.filters;for(var am=0;am<ah.length;am++){ar[ar.length]=ah[am].name}ak.filter_cols=JSON.stringify(ar)}var aj=this;return $.getJSON(this.track.data_url,ak,function(at){aj.set_data(aq,al,ao,at)})},get_data:function(ah,al,am,ai,ak){var aj=this.get_data_from_cache(ah,al,am);if(aj){return aj}aj=this.load_data(ah,al,am,ai,ak);this.set_data(ah,al,am,aj);return aj},DEEP_DATA_REQ:"deep",BROAD_DATA_REQ:"breadth",get_more_data:function(ap,ak,ao,aj,an,al){var aq=this.get_data_from_cache(ap,ak,ao);if(!aq){console.log("ERROR: no current data for: ",this.track,ap,ak,ao,aj,an);return}aq.stale=true;var ai=ap;if(al===this.DEEP_DATA_REQ){$.extend(an,{start_val:aq.data.length+1})}else{if(al===this.BROAD_DATA_REQ){ai=(aq.max_high?aq.max_high:aq.data[aq.data.length-1][2])+1}}var ah=this,am=this.load_data(ai,ak,ao,aj,an);new_data_available=$.Deferred();this.set_data(ap,ak,ao,new_data_available);$.when(am).then(function(ar){if(ar.data){ar.data=aq.data.concat(ar.data);if(ar.max_low){ar.max_low=aq.max_low}if(ar.message){ar.message=ar.message.replace(/[0-9]+/,ar.data.length)}}ah.set_data(ap,ak,ao,ar);new_data_available.resolve(ar)});return new_data_available},get_data_from_cache:function(ah,ai,aj){return this.get(this.gen_key(ah,ai,aj))},set_data:function(ai,aj,ak,ah){return this.set(this.gen_key(ai,aj,ak),ah)},gen_key:function(ah,aj,ak){var ai=ah+"_"+aj+"_"+ak;return ai},split_key:function(ah){return ah.split("_")}});var I=function(ai,ah,aj){T.call(this,ai,ah,aj)};q(I.prototype,T.prototype,c.prototype,{load_data:function(aj,ah,al,am,ai,ak){if(ai>1){return}return T.prototype.load_data.call(this,aj,ah,al,am,ai,ak)}});var r=function(ak,ai,ah,aj,al){this.name=ak;this.view=ai;this.container=ah;this.drag_handle_class=al;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ak}],saved_values:aj,onchange:function(){this.track.set_name(this.track.config.values.name)}});this.prefs=this.config.values};q(r.prototype,{init:function(){},request_draw:function(){},_draw:function(){},to_json:function(){},make_name_popup_menu:function(){},set_name:function(ah){this.old_name=this.name;this.name=ah;this.name_div.text(this.name)},revert_name:function(){this.name=this.old_name;this.name_div.text(this.name)},remove:function(){this.container.remove_drawable(this);this.container_div.fadeOut("slow",function(){$(this).remove();view.update_intro_div();view.has_changes=true})}});var z=function(al,ak,ai,ah,aj,am){r.call(this,ak,ai,ah,aj,am);this.obj_type=al;this.drawables=[]};q(z.prototype,r.prototype,{init:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah].init()}},_draw:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah]._draw()}},to_json:function(){var ai=[];for(var ah=0;ah<this.drawables.length;ah++){ai.push(this.drawables[ah].to_json())}return{name:this.name,prefs:this.prefs,obj_type:this.obj_type,drawables:ai}},add_drawable:function(ah){this.drawables.push(ah);ah.container=this},add_drawable_before:function(aj,ah){var ai=this.drawables.indexOf(ah);if(ai!=-1){this.drawables.splice(ai,0,aj);return true}return false},remove_drawable:function(ai){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);ai.container=null;return true}return false},move_drawable:function(ai,aj){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);this.drawables.splice(aj,0,ai);return true}return false}});var R=function(ak,ai,ah,aj){z.call(this,"DrawableGroup",ak,ai,ah,aj,"group-handle");if(!R.id_counter){R.id_counter=0}var al=R.id_counter++;this.container_div=$("<div/>").addClass("group").attr("id","group_"+al).appendTo(this.container.content_div);this.header_div=$("<div/>").addClass("track-header").appendTo(this.container_div);this.header_div.append($("<div/>").addClass(this.drag_handle_class));this.name_div=$("<div/>").addClass("group-name menubutton popup").text(this.name).appendTo(this.header_div);this.content_div=$("<div/>").addClass("content-div").attr("id","group_"+al+"_content_div").appendTo(this.container_div);m(this.container_div,this);m(this.content_div,this);n(this.container_div,this.drag_handle_class,".group",this);this.make_name_popup_menu()};q(R.prototype,r.prototype,z.prototype,{make_name_popup_menu:function(){var ai=this;var ah={};ah["Edit configuration"]=function(){var al=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},aj=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(am){if((am.keyCode||am.which)===27){al()}else{if((am.keyCode||am.which)===13){aj()}}};$(window).bind("keypress.check_enter_esc",ak);show_modal("Configure Group",ai.config.build_form(),{Cancel:al,OK:aj})};ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)}});var ae=function(ah,ak,aj,ai){z.call(this,"View");this.container=ah;this.chrom=null;this.vis_id=aj;this.dbkey=ai;this.title=ak;this.tracks=this.drawables;this.label_tracks=[];this.tracks_to_be_redrawn=[];this.max_low=0;this.max_high=0;this.zoom_factor=3;this.min_separation=30;this.has_changes=false;this.load_chroms_deferred=null;this.init();this.canvas_manager=new ag(ah.get(0).ownerDocument);this.reset()};q(ae.prototype,z.prototype,{init:function(){var aj=this.container,ah=this;this.top_container=$("<div/>").addClass("top-container").appendTo(aj);this.browser_content_div=$("<div/>").addClass("content").css("position","relative").appendTo(aj);this.bottom_container=$("<div/>").addClass("bottom-container").appendTo(aj);this.top_labeltrack=$("<div/>").addClass("top-labeltrack").appendTo(this.top_container);this.viewport_container=$("<div/>").addClass("viewport-container").attr("id","viewport-container").appendTo(this.browser_content_div);this.content_div=this.viewport_container;m(this.viewport_container,ah);this.intro_div=$("<div/>").addClass("intro");var ak=$("<div/>").text("Add Datasets to Visualization").addClass("action-button").appendTo(this.intro_div).click(function(){add_tracks()});this.nav_labeltrack=$("<div/>").addClass("nav-labeltrack").appendTo(this.bottom_container);this.nav_container=$("<div/>").addClass("nav-container").prependTo(this.top_container);this.nav=$("<div/>").addClass("nav").appendTo(this.nav_container);this.overview=$("<div/>").addClass("overview").appendTo(this.bottom_container);this.overview_viewport=$("<div/>").addClass("overview-viewport").appendTo(this.overview);this.overview_close=$("<a href='javascript:void(0);'>Close Overview</a>").addClass("overview-close").hide().appendTo(this.overview_viewport);this.overview_highlight=$("<div/>").addClass("overview-highlight").hide().appendTo(this.overview_viewport);this.overview_box_background=$("<div/>").addClass("overview-boxback").appendTo(this.overview_viewport);this.overview_box=$("<div/>").addClass("overview-box").appendTo(this.overview_viewport);this.default_overview_height=this.overview_box.height();this.nav_controls=$("<div/>").addClass("nav-controls").appendTo(this.nav);this.chrom_select=$("<select/>").attr({name:"chrom"}).css("width","15em").addClass("no-autocomplete").append("<option value=''>Loading</option>").appendTo(this.nav_controls);var ai=function(al){if(al.type==="focusout"||(al.keyCode||al.which)===13||(al.keyCode||al.which)===27){if((al.keyCode||al.which)!==27){ah.go_to($(this).val())}$(this).hide();$(this).val("");ah.location_span.show();ah.chrom_select.show()}};this.nav_input=$("<input/>").addClass("nav-input").hide().bind("keyup focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new B(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(al,ai,an){if(!al||al==="None"){return}var ak=this;if(al==="previous"){ak.load_chroms({low:this.chrom_start_index-x});return}if(al==="next"){ak.load_chroms({low:this.chrom_start_index+x});return}var am=$.grep(ak.chrom_data,function(ap,aq){return ap.chrom===al})[0];if(am===undefined){ak.load_chroms({chrom:al},function(){ak.change_chrom(al,ai,an)});return}else{if(al!==ak.chrom){ak.chrom=al;ak.chrom_select.val(ak.chrom);ak.max_high=am.len-1;ak.reset();ak.request_redraw(true);for(var ao=0,ah=ak.tracks.length;ao<ah;ao++){var aj=ak.tracks[ao];if(aj.init){aj.init()}}}if(ai!==undefined&&an!==undefined){ak.low=Math.max(ai,0);ak.high=Math.min(an,ak.max_high)}ak.reset_overview();ak.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){z.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){z.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.tracks),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(D,Math.ceil(Math.log((this.high-this.low)/S)/Math.log(D)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new O(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new R(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new W(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(K)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(y+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var O=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){O.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var X=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(X.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=parseFloat(ah[this.index]);return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new X(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var P=function(ai,ah){M.AlphaGenerator.call(this,ah);this.filter=ai};P.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var G=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(G.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(ah,ak,aj,ai,al){this.track=ah;this.index=ak;this.low=ak*S*aj;this.high=(ak+1)*S*aj;this.resolution=aj;this.canvas=$("<div class='track-tile'/>").append(ai);this.data=al;this.stale=false};b.prototype.predisplay_actions=function(){};var l=function(ah,ak,aj,ai,al,am){b.call(this,ah,ak,aj,ai,al);this.max_val=am};q(l.prototype,b.prototype);var Q=function(ah,al,ak,aj,an,ao,am,ai){b.call(this,ah,al,ak,aj,an);this.mode=ao;this.message=am;this.feature_mapper=ai};q(Q.prototype,b.prototype);Q.prototype.predisplay_actions=function(){var ai=this,ah={};if(ai.mode!=="Pack"){return}$(this.canvas).mousemove(function(au){var ao=$(this).offset(),at=au.pageX-ao.left,ar=au.pageY-ao.top,ay=ai.feature_mapper.get_feature_data(at,ar),ap=(ay?ay[0]:null);$(this).siblings(".feature-popup").each(function(){if(!ap||$(this).attr("id")!==ap.toString()){$(this).remove()}});if(ay){var ak=ah[ap];if(!ak){var ap=ay[0],av={name:ay[3],start:ay[1],end:ay[2],strand:ay[4]},an=ai.track.filters_manager.filters,am;for(var aq=0;aq<an.length;aq++){am=an[aq];av[am.name]=ay[am.index]}var ak=$("<div/>").attr("id",ap).addClass("feature-popup"),ax,aw,az=$("<table/>").appendTo(ak),aA;for(ax in av){aw=av[ax];aA=$("<tr/>").appendTo(az);$("<th/>").appendTo(aA).text(ax);$("<td/>").attr("align","left").appendTo(aA).text(typeof(aw)=="number"?ab(aw,2):aw)}ah[ap]=ak}ak.appendTo($(ai.canvas).parent());var al=at+parseInt(ai.canvas.css("left"))+7,aj=ar+parseInt(ai.canvas.css("top"))+7;ak.css("left",al+"px").css("top",aj+"px")}else{if(!au.isPropagationStopped()){au.stopPropagation();$(this).siblings().each(function(){$(this).trigger(au)})}}}).mouseleave(function(){$(this).siblings(".feature-popup").remove()})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:L);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof B){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Y){return"ReadTrack"}else{if(this instanceof W){return"ToolDataFeatureTrack"}else{if(this instanceof V){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var ak=ah.view.tracks.indexOf(ah);var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(K)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(F)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(aa);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var N=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(N.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(D,Math.ceil(Math.log((view.max_high-view.max_low)/S)/Math.log(D))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?U:0));new_tile=new b(ah,-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof B)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/S);var ap=true;var at=[];var ah=0;while((ai*S*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",E)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*S*an,ax=ap+S*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:E-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}ao.predisplay_actions();var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*S*ai,al=S*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var B=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});N.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new I(C,this,false);this.tile_cache=new c(v)};q(B.prototype,r.prototype,N.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=S*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(al,ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);N.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new T(C,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.track_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.track_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,N.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this,ai=ah.view.tracks.indexOf(ah);ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(aj){ah.container_div.addClass("line-track");var al=aj.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=al.min;ah.prefs.max_value=al.max;$("#track_"+ai+"_minval").val(ah.prefs.min_value);$("#track_"+ai+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=al.total_frequency;ah.container_div.find(".yaxislabel").remove();var am=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_minval").text(ab(ah.prefs.min_value,3));var ak=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_maxval").text(ab(ah.prefs.max_value,3));ak.css({position:"absolute",top:"24px",left:"10px"});ak.prependTo(ah.container_div);am.css({position:"absolute",bottom:"2px",left:"10px"});am.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new M.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(this.track,aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);N.call(this,ak,al);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new T(20,this);this.left_offset=200;this.painter=M.LinkedFeaturePainter};q(e.prototype,r.prototype,N.prototype,{postdraw_actions:function(ax,ah,ay,aw){N.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",A,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>J){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+U;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new M.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,U);aM.draw(aD,aC,an);return new l(aB,aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var aG=false;var av;for(var aK=0,aN=au.length;aK<aN;aK++){av=au[aK];av.update_attrs(ao);if(!av.keep(ao)){aG=true;break}}if(!aG){aq.push(ao)}}}var aA=(this.filters_manager.alpha_filter?new P(this.filters_manager.alpha_filter):null);var aM=new (this.painter)(aq,aL,ai,this.prefs,az,aA,ak);var an=Math.max(af,aM.get_required_height(ap));var aj=this.view.canvas_manager.new_canvas();var aJ=null;aj.width=aC+al;aj.height=an;var aD=aj.getContext("2d");aD.fillStyle=this.prefs.block_color;aD.font=aD.canvas.manager.default_font;aD.textAlign="right";this.container_div.find(".yaxislabel").remove();if(aw.data){aD.translate(al,0);aJ=aM.draw(aD,aC,an,ax);aJ.translation=-al}return new Q(aB,aI,aE,aj,aw.data,az,aw.message,aJ)}});var V=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.painter=M.VariantPainter};q(V.prototype,r.prototype,N.prototype,e.prototype);var Y=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=M.ReadPainter;this.make_name_popup_menu()};q(Y.prototype,r.prototype,N.prototype,e.prototype);var W=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(W.prototype,r.prototype,N.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=L;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});Z.View=ae;Z.DrawableGroup=R;Z.LineTrack=k;Z.FeatureTrack=e;Z.ReadTrack=Y};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var 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+var class_module=function(b,a){var c=function(){var f=arguments[0];for(var e=1;e<arguments.length;e++){var d=arguments[e];for(key in d){f[key]=d[key]}}return f};a.extend=c};var requestAnimationFrame=(function(){return window.requestAnimationFrame||window.webkitRequestAnimationFrame||window.mozRequestAnimationFrame||window.oRequestAnimationFrame||window.msRequestAnimationFrame||function(b,a){window.setTimeout(b,1000/60)}})();var BEFORE=1001,CONTAINS=1002,OVERLAP_START=1003,OVERLAP_END=1004,CONTAINED_BY=1005,AFTER=1006;var compute_overlap=function(e,b){var g=e[0],f=e[1],d=b[0],c=b[1],a;if(g<d){if(f<d){a=BEFORE}else{if(f<=c){a=OVERLAP_START}else{a=CONTAINS}}}else{if(g>c){a=AFTER}else{if(f<=c){a=CONTAINED_BY}else{a=OVERLAP_END}}}return a};var is_overlap=function(c,b){var a=compute_overlap(c,b);return(a!==BEFORE&&a!==AFTER)};var trackster_module=function(f,Z){var q=f("class").extend,t=f("slotting"),M=f("painters");var ag=function(ah,ai){this.document=ah;this.default_font=ai!==undefined?ai:"9px Monaco, Lucida Console, monospace";this.dummy_canvas=this.new_canvas();this.dummy_context=this.dummy_canvas.getContext("2d");this.dummy_context.font=this.default_font;this.char_width_px=this.dummy_context.measureText("A").width;this.patterns={};this.load_pattern("right_strand","/visualization/strand_right.png");this.load_pattern("left_strand","/visualization/strand_left.png");this.load_pattern("right_strand_inv","/visualization/strand_right_inv.png");this.load_pattern("left_strand_inv","/visualization/strand_left_inv.png")};q(ag.prototype,{load_pattern:function(ah,al){var ai=this.patterns,aj=this.dummy_context,ak=new Image();ak.src=image_path+al;ak.onload=function(){ai[ah]=aj.createPattern(ak,"repeat")}},get_pattern:function(ah){return this.patterns[ah]},new_canvas:function(){var ah=this.document.createElement("canvas");if(window.G_vmlCanvasManager){G_vmlCanvasManager.initElement(ah)}ah.manager=this;return ah}});var o={};var m=function(ah,ai){o[ah.attr("id")]=ai};var n=function(ah,aj,al,ak){al=".group";var ai={};o[ah.attr("id")]=ak;ah.bind("drag",{handle:"."+aj,relative:true},function(au,av){var at=$(this);var ay=$(this).parent(),ap=ay.children(),ar=o[$(this).attr("id")],ao,an,aw,am,aq;an=$(this).parents(al);if(an.length!==0){aw=an.position().top;am=aw+an.outerHeight();if(av.offsetY<aw){$(this).insertBefore(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable_before(ar,ax);return}else{if(av.offsetY>am){$(this).insertAfter(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable(ar);return}}}an=null;for(aq=0;aq<ap.length;aq++){ao=$(ap.get(aq));aw=ao.position().top;am=aw+ao.outerHeight();if(ao.is(al)&&this!==ao.get(0)&&av.offsetY>=aw&&av.offsetY<=am){if(av.offsetY-aw<am-av.offsetY){ao.find(".content-div").prepend(this)}else{ao.find(".content-div").append(this)}if(ar.container){ar.container.remove_drawable(ar)}o[ao.attr("id")].add_drawable(ar);return}}for(aq=0;aq<ap.length;aq++){if(av.offsetY<$(ap.get(aq)).position().top){break}}if(aq===ap.length){if(this!==ap.get(aq-1)){ay.append(this);o[ay.attr("id")].move_drawable(ar,aq)}}else{if(this!==ap.get(aq)){$(this).insertBefore(ap.get(aq));o[ay.attr("id")].move_drawable(ar,(av.deltaY>0?aq-1:aq))}}}).bind("dragstart",function(){ai["border-top"]=ah.css("border-top");ai["border-bottom"]=ah.css("border-bottom");$(this).css({"border-top":"1px solid blue","border-bottom":"1px solid blue"})}).bind("dragend",function(){$(this).css(ai)})};Z.moveable=n;var af=16,H=9,E=20,U=H+2,A=100,J=12000,S=200,D=5,w=10,L=5000,x=100,p="There was an error in indexing this dataset. ",K="A converter for this dataset is not installed. Please check your datatypes_conf.xml file.",F="No data for this chrom/contig.",u="Currently indexing... please wait",y="Tool cannot be rerun: ",a="Loading data...",aa="Ready for display",d=10,v=5,C=5;function ab(ai,ah){if(!ah){ah=0}var aj=Math.pow(10,ah);return Math.round(ai*aj)/aj}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var T=function(ai,ah,aj){c.call(this,ai);this.track=ah;this.subset=(aj!==undefined?aj:true)};q(T.prototype,c.prototype,{load_data:function(aq,al,ao,ai,an){var ap=this.track.view.chrom,ak={chrom:ap,low:aq,high:al,mode:ao,resolution:ai,dataset_id:this.track.dataset_id,hda_ldda:this.track.hda_ldda};$.extend(ak,an);if(this.track.filters_manager){var ar=[];var ah=this.track.filters_manager.filters;for(var am=0;am<ah.length;am++){ar[ar.length]=ah[am].name}ak.filter_cols=JSON.stringify(ar)}var aj=this;return $.getJSON(this.track.data_url,ak,function(at){aj.set_data(aq,al,ao,at)})},get_data:function(ah,al,am,ai,ak){var aj=this.get_data_from_cache(ah,al,am);if(aj){return aj}aj=this.load_data(ah,al,am,ai,ak);this.set_data(ah,al,am,aj);return aj},DEEP_DATA_REQ:"deep",BROAD_DATA_REQ:"breadth",get_more_data:function(ap,ak,ao,aj,an,al){var aq=this.get_data_from_cache(ap,ak,ao);if(!aq){console.log("ERROR: no current data for: ",this.track,ap,ak,ao,aj,an);return}aq.stale=true;var ai=ap;if(al===this.DEEP_DATA_REQ){$.extend(an,{start_val:aq.data.length+1})}else{if(al===this.BROAD_DATA_REQ){ai=(aq.max_high?aq.max_high:aq.data[aq.data.length-1][2])+1}}var ah=this,am=this.load_data(ai,ak,ao,aj,an);new_data_available=$.Deferred();this.set_data(ap,ak,ao,new_data_available);$.when(am).then(function(ar){if(ar.data){ar.data=aq.data.concat(ar.data);if(ar.max_low){ar.max_low=aq.max_low}if(ar.message){ar.message=ar.message.replace(/[0-9]+/,ar.data.length)}}ah.set_data(ap,ak,ao,ar);new_data_available.resolve(ar)});return new_data_available},get_data_from_cache:function(ah,ai,aj){return this.get(this.gen_key(ah,ai,aj))},set_data:function(ai,aj,ak,ah){return this.set(this.gen_key(ai,aj,ak),ah)},gen_key:function(ah,aj,ak){var ai=ah+"_"+aj+"_"+ak;return ai},split_key:function(ah){return ah.split("_")}});var I=function(ai,ah,aj){T.call(this,ai,ah,aj)};q(I.prototype,T.prototype,c.prototype,{load_data:function(aj,ah,al,am,ai,ak){if(ai>1){return}return T.prototype.load_data.call(this,aj,ah,al,am,ai,ak)}});var r=function(ak,ai,ah,aj,al){this.name=ak;this.view=ai;this.container=ah;this.drag_handle_class=al;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ak}],saved_values:aj,onchange:function(){this.track.set_name(this.track.config.values.name)}});this.prefs=this.config.values};q(r.prototype,{init:function(){},request_draw:function(){},_draw:function(){},to_json:function(){},make_name_popup_menu:function(){},set_name:function(ah){this.old_name=this.name;this.name=ah;this.name_div.text(this.name)},revert_name:function(){this.name=this.old_name;this.name_div.text(this.name)},remove:function(){this.container.remove_drawable(this);this.container_div.fadeOut("slow",function(){$(this).remove();view.update_intro_div();view.has_changes=true})}});var z=function(al,ak,ai,ah,aj,am){r.call(this,ak,ai,ah,aj,am);this.obj_type=al;this.drawables=[]};q(z.prototype,r.prototype,{init:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah].init()}},_draw:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah]._draw()}},to_json:function(){var ai=[];for(var ah=0;ah<this.drawables.length;ah++){ai.push(this.drawables[ah].to_json())}return{name:this.name,prefs:this.prefs,obj_type:this.obj_type,drawables:ai}},add_drawable:function(ah){this.drawables.push(ah);ah.container=this},add_drawable_before:function(aj,ah){var ai=this.drawables.indexOf(ah);if(ai!=-1){this.drawables.splice(ai,0,aj);return true}return false},remove_drawable:function(ai){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);ai.container=null;return true}return false},move_drawable:function(ai,aj){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);this.drawables.splice(aj,0,ai);return true}return false}});var R=function(ak,ai,ah,aj){z.call(this,"DrawableGroup",ak,ai,ah,aj,"group-handle");if(!R.id_counter){R.id_counter=0}var al=R.id_counter++;this.container_div=$("<div/>").addClass("group").attr("id","group_"+al).appendTo(this.container.content_div);this.header_div=$("<div/>").addClass("track-header").appendTo(this.container_div);this.header_div.append($("<div/>").addClass(this.drag_handle_class));this.name_div=$("<div/>").addClass("group-name menubutton popup").text(this.name).appendTo(this.header_div);this.content_div=$("<div/>").addClass("content-div").attr("id","group_"+al+"_content_div").appendTo(this.container_div);m(this.container_div,this);m(this.content_div,this);n(this.container_div,this.drag_handle_class,".group",this);this.make_name_popup_menu()};q(R.prototype,r.prototype,z.prototype,{make_name_popup_menu:function(){var ai=this;var ah={};ah["Edit configuration"]=function(){var al=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},aj=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(am){if((am.keyCode||am.which)===27){al()}else{if((am.keyCode||am.which)===13){aj()}}};$(window).bind("keypress.check_enter_esc",ak);show_modal("Configure Group",ai.config.build_form(),{Cancel:al,OK:aj})};ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)}});var ae=function(ah,ak,aj,ai){z.call(this,"View");this.container=ah;this.chrom=null;this.vis_id=aj;this.dbkey=ai;this.title=ak;this.label_tracks=[];this.tracks_to_be_redrawn=[];this.max_low=0;this.max_high=0;this.zoom_factor=3;this.min_separation=30;this.has_changes=false;this.load_chroms_deferred=null;this.init();this.canvas_manager=new ag(ah.get(0).ownerDocument);this.reset()};q(ae.prototype,z.prototype,{init:function(){var aj=this.container,ah=this;this.top_container=$("<div/>").addClass("top-container").appendTo(aj);this.browser_content_div=$("<div/>").addClass("content").css("position","relative").appendTo(aj);this.bottom_container=$("<div/>").addClass("bottom-container").appendTo(aj);this.top_labeltrack=$("<div/>").addClass("top-labeltrack").appendTo(this.top_container);this.viewport_container=$("<div/>").addClass("viewport-container").attr("id","viewport-container").appendTo(this.browser_content_div);this.content_div=this.viewport_container;m(this.viewport_container,ah);this.intro_div=$("<div/>").addClass("intro");var ak=$("<div/>").text("Add Datasets to Visualization").addClass("action-button").appendTo(this.intro_div).click(function(){add_tracks()});this.nav_labeltrack=$("<div/>").addClass("nav-labeltrack").appendTo(this.bottom_container);this.nav_container=$("<div/>").addClass("nav-container").prependTo(this.top_container);this.nav=$("<div/>").addClass("nav").appendTo(this.nav_container);this.overview=$("<div/>").addClass("overview").appendTo(this.bottom_container);this.overview_viewport=$("<div/>").addClass("overview-viewport").appendTo(this.overview);this.overview_close=$("<a href='javascript:void(0);'>Close Overview</a>").addClass("overview-close").hide().appendTo(this.overview_viewport);this.overview_highlight=$("<div/>").addClass("overview-highlight").hide().appendTo(this.overview_viewport);this.overview_box_background=$("<div/>").addClass("overview-boxback").appendTo(this.overview_viewport);this.overview_box=$("<div/>").addClass("overview-box").appendTo(this.overview_viewport);this.default_overview_height=this.overview_box.height();this.nav_controls=$("<div/>").addClass("nav-controls").appendTo(this.nav);this.chrom_select=$("<select/>").attr({name:"chrom"}).css("width","15em").addClass("no-autocomplete").append("<option value=''>Loading</option>").appendTo(this.nav_controls);var ai=function(al){if(al.type==="focusout"||(al.keyCode||al.which)===13||(al.keyCode||al.which)===27){if((al.keyCode||al.which)!==27){ah.go_to($(this).val())}$(this).hide();$(this).val("");ah.location_span.show();ah.chrom_select.show()}};this.nav_input=$("<input/>").addClass("nav-input").hide().bind("keyup focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new B(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(am,ai,ao){if(!am||am==="None"){return}var aj=this;if(am==="previous"){aj.load_chroms({low:this.chrom_start_index-x});return}if(am==="next"){aj.load_chroms({low:this.chrom_start_index+x});return}var an=$.grep(aj.chrom_data,function(ap,aq){return ap.chrom===am})[0];if(an===undefined){aj.load_chroms({chrom:am},function(){aj.change_chrom(am,ai,ao)});return}else{if(am!==aj.chrom){aj.chrom=am;aj.chrom_select.val(aj.chrom);aj.max_high=an.len-1;aj.reset();aj.request_redraw(true);for(var al=0,ah=aj.drawables.length;al<ah;al++){var ak=aj.drawables[al];if(ak.init){ak.init()}}}if(ai!==undefined&&ao!==undefined){aj.low=Math.max(ai,0);aj.high=Math.min(ao,aj.max_high)}aj.reset_overview();aj.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){z.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){z.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.drawables),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(D,Math.ceil(Math.log((this.high-this.low)/S)/Math.log(D)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new O(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new R(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new W(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(K)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(y+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var O=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){O.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var X=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(X.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=ah[this.index];return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new X(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var P=function(ai,ah){M.AlphaGenerator.call(this,ah);this.filter=ai};P.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var G=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(G.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(ah,ak,aj,ai,al){this.track=ah;this.index=ak;this.low=ak*S*aj;this.high=(ak+1)*S*aj;this.resolution=aj;this.canvas=$("<div class='track-tile'/>").append(ai);this.data=al;this.stale=false};b.prototype.predisplay_actions=function(){};var l=function(ah,ak,aj,ai,al,am){b.call(this,ah,ak,aj,ai,al);this.max_val=am};q(l.prototype,b.prototype);var Q=function(ah,al,ak,aj,an,ao,am,ai){b.call(this,ah,al,ak,aj,an);this.mode=ao;this.message=am;this.feature_mapper=ai};q(Q.prototype,b.prototype);Q.prototype.predisplay_actions=function(){var ai=this,ah={};if(ai.mode!=="Pack"){return}$(this.canvas).mousemove(function(au){var ao=$(this).offset(),at=au.pageX-ao.left,ar=au.pageY-ao.top,ay=ai.feature_mapper.get_feature_data(at,ar),ap=(ay?ay[0]:null);$(this).siblings(".feature-popup").each(function(){if(!ap||$(this).attr("id")!==ap.toString()){$(this).remove()}});if(ay){var ak=ah[ap];if(!ak){var ap=ay[0],av={name:ay[3],start:ay[1],end:ay[2],strand:ay[4]},an=ai.track.filters_manager.filters,am;for(var aq=0;aq<an.length;aq++){am=an[aq];av[am.name]=ay[am.index]}var ak=$("<div/>").attr("id",ap).addClass("feature-popup"),ax,aw,az=$("<table/>").appendTo(ak),aA;for(ax in av){aw=av[ax];aA=$("<tr/>").appendTo(az);$("<th/>").appendTo(aA).text(ax);$("<td/>").attr("align","left").appendTo(aA).text(typeof(aw)=="number"?ab(aw,2):aw)}ah[ap]=ak}ak.appendTo($(ai.canvas).parent());var al=at+parseInt(ai.canvas.css("left"))+7,aj=ar+parseInt(ai.canvas.css("top"))+7;ak.css("left",al+"px").css("top",aj+"px")}else{if(!au.isPropagationStopped()){au.stopPropagation();$(this).siblings().each(function(){$(this).trigger(au)})}}}).mouseleave(function(){$(this).siblings(".feature-popup").remove()})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:L);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof B){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Y){return"ReadTrack"}else{if(this instanceof W){return"ToolDataFeatureTrack"}else{if(this instanceof V){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(K)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(F)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(aa);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var N=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(N.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(D,Math.ceil(Math.log((view.max_high-view.max_low)/S)/Math.log(D))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?U:0));new_tile=new b(ah,-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof B)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/S);var ap=true;var at=[];var ah=0;while((ai*S*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",E)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*S*an,ax=ap+S*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:E-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}ao.predisplay_actions();var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*S*ai,al=S*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var B=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});N.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new I(C,this,false);this.tile_cache=new c(v)};q(B.prototype,r.prototype,N.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=S*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(al,ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);N.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new T(C,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.dataset_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.dataset_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,N.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this;ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(ai){ah.container_div.addClass("line-track");var ak=ai.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=ak.min;ah.prefs.max_value=ak.max;$("#track_"+ah.dataset_id+"_minval").val(ah.prefs.min_value);$("#track_"+ah.dataset_id+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=ak.total_frequency;ah.container_div.find(".yaxislabel").remove();var al=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ah.dataset_id+"_minval").text(ab(ah.prefs.min_value,3));var aj=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ah.dataset_id+"_maxval").text(ab(ah.prefs.max_value,3));aj.css({position:"absolute",top:"24px",left:"10px"});aj.prependTo(ah.container_div);al.css({position:"absolute",bottom:"2px",left:"10px"});al.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new M.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(this.track,aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);N.call(this,ak,al);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new T(20,this);this.left_offset=200;this.painter=M.LinkedFeaturePainter};q(e.prototype,r.prototype,N.prototype,{postdraw_actions:function(ax,ah,ay,aw){N.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",A,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>J){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+U;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new M.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,U);aM.draw(aD,aC,an);return new l(aB,aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var aG=false;var av;for(var aK=0,aN=au.length;aK<aN;aK++){av=au[aK];av.update_attrs(ao);if(!av.keep(ao)){aG=true;break}}if(!aG){aq.push(ao)}}}var aA=(this.filters_manager.alpha_filter?new P(this.filters_manager.alpha_filter):null);var aM=new (this.painter)(aq,aL,ai,this.prefs,az,aA,ak);var an=Math.max(af,aM.get_required_height(ap));var aj=this.view.canvas_manager.new_canvas();var aJ=null;aj.width=aC+al;aj.height=an;var aD=aj.getContext("2d");aD.fillStyle=this.prefs.block_color;aD.font=aD.canvas.manager.default_font;aD.textAlign="right";this.container_div.find(".yaxislabel").remove();if(aw.data){aD.translate(al,0);aJ=aM.draw(aD,aC,an,ax);aJ.translation=-al}return new Q(aB,aI,aE,aj,aw.data,az,aw.message,aJ)}});var V=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.painter=M.VariantPainter};q(V.prototype,r.prototype,N.prototype,e.prototype);var Y=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=M.ReadPainter;this.make_name_popup_menu()};q(Y.prototype,r.prototype,N.prototype,e.prototype);var W=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(W.prototype,r.prototype,N.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=L;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});Z.View=ae;Z.DrawableGroup=R;Z.LineTrack=k;Z.FeatureTrack=e;Z.ReadTrack=Y};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var 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b=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(b.prototype,p.prototype,{draw_element:function(S,N,H,D,V,B,K,T,Q){var H=data[i],J=H[0],R=H[1],C=H[2],M=H[3],F=Math.floor(Math.max(0,(R-V)*K)),I=Math.ceil(Math.min(Q,Math.max(0,(C-V)*K))),E=(N==="Dense"?0:(0+D))*T,z,W,A=null,L=null;if(no_label){S.fillStyle=block_color;S.fillRect(F+left_offset,E+5,I-F,1)}else{var U=H[4],P=H[5],G=H[6];z=9;W=1;S.fillRect(F+left_offset,E,I-F,z);if(N!=="Dense"&&M!==undefined&&R>V){S.fillStyle=label_color;if(V===0&&F-S.measureText(M).width<0){S.textAlign="left";S.fillText(M,I+2+left_offset,E+8)}else{S.textAlign="right";S.fillText(M,F-2+left_offset,E+8)}S.fillStyle=block_color}var O=U+" / "+P;if(R>V&&S.measureText(O).width<(I-F)){S.fillStyle="white";S.textAlign="center";S.fillText(O,left_offset+F+(I-F)/2,E+8);S.fillStyle=block_color}}return[F,I]}});var u=function(D,F,z,C,E,A,B){p.call(this,D,F,z,C,E,A);this.ref_seq=B};u.prototype.default_prefs=v({},p.prototype.default_prefs,{show_insertions:false});v(u.prototype,p.prototype,{get_row_height:function(){var z,A=this.mode;if(A==="Dense"){z=d}else{if(A==="Squish"){z=m}else{z=x;if(this.prefs.show_insertions){z*=2}}}return z},draw_read:function(V,Q,M,aa,B,U,J,G,F){V.textAlign="center";var T=this,A=[aa,B],P=0,W=0,S=0;ref_seq=this.ref_seq,char_width_px=V.canvas.manager.char_width_px;var af=[];if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){S=Math.round(M/2)}if(!J){J=[[0,G.length]]}for(var N=0,Y=J.length;N<Y;N++){var K=J[N],C="MIDNSHP=X"[K[0]],O=K[1];if(C==="H"||C==="S"){P-=O}var H=U+P,ae=Math.floor(Math.max(0,(H-aa)*M)),I=Math.floor(Math.max(0,(H+O-aa)*M));if(ae===I){I+=1}switch(C){case"H":break;case"S":case"M":case"=":if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(S>0){V.fillStyle=this.prefs.block_color;V.fillRect(ae-S,F+1,I-ae,9);V.fillStyle=h;for(var ac=0,z=R.length;ac<z;ac++){if(this.prefs.show_differences&&ref_seq){var L=ref_seq[H-aa+ac];if(!L||L.toLowerCase()===R[ac].toLowerCase()){continue}}if(H+ac>=aa&&H+ac<=B){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad,F+9)}}}else{V.fillStyle=this.prefs.block_color;V.fillRect(ae,F+4,I-ae,e)}}W+=O;P+=O;break;case"N":V.fillStyle=h;V.fillRect(ae-S,F+5,I-ae,1);P+=O;break;case"D":V.fillStyle="red";V.fillRect(ae-S,F+4,I-ae,3);P+=O;break;case"P":break;case"I":var Z=ae-S;if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(this.prefs.show_insertions){var E=ae-(I-ae)/2;if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){V.fillStyle="yellow";V.fillRect(E-S,F-9,I-ae,9);af[af.length]={type:"triangle",data:[Z,F+4,5]};V.fillStyle=h;switch(seq_tile_overlap){case (OVERLAP_START):R=R.slice(aa-H);break;case (OVERLAP_END):R=R.slice(0,H-B);break;case (CONTAINED_BY):break;case (CONTAINS):R=R.slice(aa-H,H-B);break}for(var ac=0,z=R.length;ac<z;ac++){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad-(I-ae)/2,F)}}else{V.fillStyle="yellow";V.fillRect(E,F+(this.mode!=="Dense"?2:5),I-ae,(Q!=="Dense"?e:t))}}else{if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){af[af.length]={type:"text",data:[R.length,Z,F+9]}}else{}}}W+=O;break;case"X":W+=O;break}}V.fillStyle="yellow";var ab,D,ag;for(var X=0;X<af.length;X++){ab=af[X];D=ab.type;ag=ab.data;if(D==="text"){V.save();V.font="bold "+V.font;V.fillText(ag[0],ag[1],ag[2]);V.restore()}else{if(D=="triangle"){r(V,ag[0],ag[1],ag[2])}}}},draw_element:function(S,N,F,C,V,A,J,T,Q){var I=F[0],R=F[1],B=F[2],K=F[3],E=Math.floor(Math.max(0,(R-V)*J)),G=Math.ceil(Math.min(Q,Math.max(0,(B-V)*J))),D=(N==="Dense"?0:(0+C))*T,W=this.prefs.block_color,H=this.prefs.label_color,P=0;if((N==="Pack"||this.mode==="Auto")&&J>S.canvas.manager.char_width_px){var P=Math.round(J/2)}S.fillStyle=W;if(F[5] instanceof Array){var O=Math.floor(Math.max(0,(F[4][0]-V)*J)),M=Math.ceil(Math.min(Q,Math.max(0,(F[4][1]-V)*J))),L=Math.floor(Math.max(0,(F[5][0]-V)*J)),z=Math.ceil(Math.min(Q,Math.max(0,(F[5][1]-V)*J)));if(F[4][1]>=V&&F[4][0]<=A&&F[4][2]){this.draw_read(S,N,J,V,A,F[4][0],F[4][2],F[4][3],D)}if(F[5][1]>=V&&F[5][0]<=A&&F[5][2]){this.draw_read(S,N,J,V,A,F[5][0],F[5][2],F[5][3],D)}if(L>M){S.fillStyle=h;q(S,M-P,D+5,L-P,D+5)}}else{S.fillStyle=W;this.draw_read(S,N,J,V,A,R,F[4],F[5],D)}if(N==="Pack"&&R>V){S.fillStyle=this.prefs.label_color;var U=1;if(U===0&&E-S.measureText(K).width<0){S.textAlign="left";S.fillText(K,G+l-P,D+8)}else{S.textAlign="right";S.fillText(K,E-l-P,D+8)}S.fillStyle=W}return[0,0]}});y.AlphaGenerator=g;y.SummaryTreePainter=w;y.LinePainter=c;y.LinkedFeaturePainter=s;y.ReadPainter=u;y.VariantPainter=b};(function(d){var c={};var b=function(e){return c[e]};var a=function(f,g){var e={};g(b,e);c[f]=e};a("class",class_module);a("slotting",slotting_module);a("painters",painters_module);a("trackster",trackster_module);for(key in c.trackster){d[key]=c.trackster[key]}})(window);
\ No newline at end of file
--- a/static/scripts/packed/trackster_ui.js Tue Oct 11 14:14:06 2011 -0400
+++ b/static/scripts/packed/trackster_ui.js Tue Oct 11 14:47:34 2011 -0400
@@ -1,1 +1,1 @@
-var add_bookmark=function(b,a){var g=$("#bookmarks-container"),d=$("<div/>").addClass("bookmark").appendTo(g),c=$("<div/>").addClass("delete-icon-container").appendTo(d).click(function(){d.slideUp("fast");d.remove();view.has_changes=true;return false}),e=$("<a href=''/>").addClass("icon-button delete").appendTo(c),f=$("<div/>").addClass("position").appendTo(d),h=$("<a href=''/>").text(b).appendTo(f).click(function(){view.go_to(b);return false});annotation_div=get_editable_text_elt(a,true).addClass("annotation").appendTo(d);view.has_changes=true;return d};var addable_objects={LineTrack:LineTrack,FeatureTrack:FeatureTrack,ReadTrack:ReadTrack,DrawableGroup:DrawableGroup};var track_from_dict=function(c,b){var a=new addable_objects[c.track_type](c.name,view,b,c.hda_ldda,c.dataset_id,c.prefs,c.filters,c.tool);if(c.mode){a.change_mode(c.mode)}return a};var drawable_collection_from_dict=function(f,a){var e=new addable_objects[f.obj_type](f.name,view,a,f.prefs,view.viewport_container,view);for(var d=0;d<f.drawables.length;d++){var b=f.drawables[d],c;if(b.track_type){c=track_from_dict(b,e)}else{c=drawable_collection_from_dict(b)}e.add_drawable(c);e.content_div.append(c.container_div)}return e};var drawable_from_dict=function(b,a){return(b.track_type?track_from_dict(b,a):drawable_collection_from_dict(b,a))};var create_visualization=function(b,e,g,c,a,d,f){view=new View(b,e,g,c);view.editor=true;$.when(view.load_chroms_deferred).then(function(){if(a){var k=a.chrom,p=a.start,h=a.end,m=a.overview;if(k&&(p!==undefined)&&h){view.change_chrom(k,p,h)}}if(d){var o;for(var j=0;j<d.length;j++){o=d[j];view.add_drawable(drawable_from_dict(o,view))}}var n;for(var j=0;j<view.tracks.length;j++){if(view.tracks[j].name==m){view.set_overview(view.tracks[j]);break}}if(f){var l;for(var j=0;j<f.length;j++){l=f[j];add_bookmark(l.position,l.annotation)}}view.has_changes=false});return view};var init_keyboard_nav=function(a){$(document).keydown(function(b){if($(b.srcElement).is(":input")){return}switch(b.which){case 37:a.move_fraction(0.25);break;case 38:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("-="+c+"px");break;case 39:a.move_fraction(-0.25);break;case 40:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("+="+c+"px");break}})};
\ No newline at end of file
+var add_bookmark=function(b,a){var g=$("#bookmarks-container"),d=$("<div/>").addClass("bookmark").appendTo(g),c=$("<div/>").addClass("delete-icon-container").appendTo(d).click(function(){d.slideUp("fast");d.remove();view.has_changes=true;return false}),e=$("<a href=''/>").addClass("icon-button delete").appendTo(c),f=$("<div/>").addClass("position").appendTo(d),h=$("<a href=''/>").text(b).appendTo(f).click(function(){view.go_to(b);return false});annotation_div=get_editable_text_elt(a,true).addClass("annotation").appendTo(d);view.has_changes=true;return d};var addable_objects={LineTrack:LineTrack,FeatureTrack:FeatureTrack,ReadTrack:ReadTrack,DrawableGroup:DrawableGroup};var track_from_dict=function(c,b){var a=new addable_objects[c.track_type](c.name,view,b,c.hda_ldda,c.dataset_id,c.prefs,c.filters,c.tool);if(c.mode){a.change_mode(c.mode)}return a};var drawable_collection_from_dict=function(f,a){var e=new addable_objects[f.obj_type](f.name,view,a,f.prefs,view.viewport_container,view);for(var d=0;d<f.drawables.length;d++){var b=f.drawables[d],c;if(b.track_type){c=track_from_dict(b,e)}else{c=drawable_collection_from_dict(b)}e.add_drawable(c);e.content_div.append(c.container_div)}return e};var drawable_from_dict=function(b,a){return(b.track_type?track_from_dict(b,a):drawable_collection_from_dict(b,a))};var create_visualization=function(b,e,g,c,a,d,f){view=new View(b,e,g,c);view.editor=true;$.when(view.load_chroms_deferred).then(function(){if(a){var k=a.chrom,p=a.start,h=a.end,m=a.overview;if(k&&(p!==undefined)&&h){view.change_chrom(k,p,h)}}if(d){var o;for(var j=0;j<d.length;j++){o=d[j];view.add_drawable(drawable_from_dict(o,view))}}var n;for(var j=0;j<view.drawables.length;j++){if(view.drawables[j].name==m){view.set_overview(view.drawables[j]);break}}if(f){var l;for(var j=0;j<f.length;j++){l=f[j];add_bookmark(l.position,l.annotation)}}view.has_changes=false});return view};var init_keyboard_nav=function(a){$(document).keydown(function(b){if($(b.srcElement).is(":input")){return}switch(b.which){case 37:a.move_fraction(0.25);break;case 38:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("-="+c+"px");break;case 39:a.move_fraction(-0.25);break;case 40:var c=Math.round(a.viewport_container.height()/15);a.viewport_container.scrollTo("+="+c+"px");break}})};
\ No newline at end of file
--- a/static/scripts/trackster.js Tue Oct 11 14:14:06 2011 -0400
+++ b/static/scripts/trackster.js Tue Oct 11 14:47:34 2011 -0400
@@ -808,8 +808,6 @@
this.vis_id = vis_id;
this.dbkey = dbkey;
this.title = title;
- // Alias tracks to point at drawables. TODO: changes tracks to 'drawables' or something similar.
- this.tracks = this.drawables;
this.label_tracks = [];
this.tracks_to_be_redrawn = [];
this.max_low = 0;
@@ -1106,10 +1104,10 @@
view.reset();
view.request_redraw(true);
- for (var track_id = 0, len = view.tracks.length; track_id < len; track_id++) {
- var track = view.tracks[track_id];
- if (track.init) {
- track.init();
+ for (var i = 0, len = view.drawables.length; i < len; i++) {
+ var drawable = view.drawables[i];
+ if (drawable.init) {
+ drawable.init();
}
}
}
@@ -1201,7 +1199,7 @@
var
view = this,
// Either redrawing a single track or all view's tracks.
- track_list = (track ? [track] : view.tracks),
+ track_list = (track ? [track] : view.drawables),
track_index;
// Add/update tracks in track list to redraw list.
@@ -2321,7 +2319,6 @@
track.container_div.addClass("error");
track.content_div.text(DATA_ERROR);
if (result.message) {
- var track_id = track.view.tracks.indexOf(track);
var error_link = $(" <a href='javascript:void(0);'></a>").text("View error").click(function() {
show_modal( "Trackster Error", "<pre>" + result.message + "</pre>", { "Close" : hide_modal } );
});
@@ -2951,8 +2948,8 @@
track.set_name(track.prefs.name);
track.vertical_range = track.prefs.max_value - track.prefs.min_value;
// Update the y-axis
- $('#linetrack_' + track.track_id + '_minval').text(track.prefs.min_value);
- $('#linetrack_' + track.track_id + '_maxval').text(track.prefs.max_value);
+ $('#linetrack_' + track.dataset_id + '_minval').text(track.prefs.min_value);
+ $('#linetrack_' + track.dataset_id + '_maxval').text(track.prefs.max_value);
track.tile_cache.clear();
track.request_draw();
}
@@ -2999,8 +2996,7 @@
}).appendTo(track.container_div);
},
predraw_init: function() {
- var track = this,
- track_id = track.view.tracks.indexOf(track);
+ var track = this;
track.vertical_range = undefined;
return $.getJSON( track.data_url, { stats: true, chrom: track.view.chrom, low: null, high: null,
@@ -3011,8 +3007,8 @@
track.prefs.min_value = data.min;
track.prefs.max_value = data.max;
// Update the config
- $('#track_' + track_id + '_minval').val(track.prefs.min_value);
- $('#track_' + track_id + '_maxval').val(track.prefs.max_value);
+ $('#track_' + track.dataset_id + '_minval').val(track.prefs.min_value);
+ $('#track_' + track.dataset_id + '_maxval').val(track.prefs.max_value);
}
track.vertical_range = track.prefs.max_value - track.prefs.min_value;
track.total_frequency = data.total_frequency;
@@ -3020,8 +3016,8 @@
// Draw y-axis labels if necessary
track.container_div.find(".yaxislabel").remove();
- var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_minval').text(round(track.prefs.min_value, 3));
- var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_maxval').text(round(track.prefs.max_value, 3));
+ var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track.dataset_id + '_minval').text(round(track.prefs.min_value, 3));
+ var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track.dataset_id + '_maxval').text(round(track.prefs.max_value, 3));
max_label.css({ position: "absolute", top: "24px", left: "10px" });
max_label.prependTo(track.container_div);
--- a/static/scripts/trackster_ui.js Tue Oct 11 14:14:06 2011 -0400
+++ b/static/scripts/trackster_ui.js Tue Oct 11 14:47:34 2011 -0400
@@ -113,9 +113,9 @@
// Set overview.
var overview_track;
- for (var i = 0; i < view.tracks.length; i++) {
- if (view.tracks[i].name == overview_track_name) {
- view.set_overview(view.tracks[i]);
+ for (var i = 0; i < view.drawables.length; i++) {
+ if (view.drawables[i].name == overview_track_name) {
+ view.set_overview(view.drawables[i]);
break;
}
}
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
--
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commit/galaxy-central: jgoecks: Trackster: no need to parse floats because data providers now return floats rather than strings.
by Bitbucket 11 Oct '11
by Bitbucket 11 Oct '11
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/b1355f513577/
changeset: b1355f513577
user: jgoecks
date: 2011-10-11 20:14:06
summary: Trackster: no need to parse floats because data providers now return floats rather than strings.
affected #: 1 file (-1 bytes)
--- a/static/scripts/trackster.js Tue Oct 11 14:05:08 2011 -0400
+++ b/static/scripts/trackster.js Tue Oct 11 14:14:06 2011 -0400
@@ -1638,7 +1638,7 @@
// No element to filter on.
return true;
}
- var val = parseFloat(element[this.index]);
+ var val = element[this.index];
return (isNaN(val) || (val >= this.low && val <= this.high));
},
/**
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
--
This is a commit notification from bitbucket.org. You are receiving
this because you have the service enabled, addressing the recipient of
this email.
1
0
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/33735436bdc2/
changeset: 33735436bdc2
user: jgoecks
date: 2011-10-11 20:05:08
summary: Trackster: in pack mode for feature tracks, show feature details on mouseover. Also: (a) provide general method for rounding numbers; (b) return numerical filter values as floats rather than strings; and (c) pack scripts.
affected #: 5 files (-1 bytes)
--- a/lib/galaxy/visualization/tracks/data_providers.py Tue Oct 11 10:09:32 2011 -0400
+++ b/lib/galaxy/visualization/tracks/data_providers.py Tue Oct 11 14:05:08 2011 -0400
@@ -804,7 +804,7 @@
# Return full feature.
payload = [ feature.start,
feature.end,
- feature.name(),
+ feature.name(),
feature.strand,
# No notion of thick start, end in GFF, so make everything
# thick.
@@ -828,9 +828,13 @@
# Add filter data to payload.
for col in filter_cols:
if col == "Score":
- payload.append( feature.score )
+ payload.append( float( feature.score ) )
elif col in feature.attributes:
- payload.append( feature.attributes[col] )
+ try:
+ payload.append( float( feature.attributes[col] ) )
+ except:
+ # Feature is not a float.
+ payload.append( feature.attributes[col] )
else:
# Dummy value.
payload.append( "na" )
--- a/static/june_2007_style/blue/trackster.css Tue Oct 11 10:09:32 2011 -0400
+++ b/static/june_2007_style/blue/trackster.css Tue Oct 11 14:05:08 2011 -0400
@@ -24,7 +24,7 @@
.track{background:white;}
.track-header{text-align:left;padding:4px 0px;color:#666;}
.track-header .menubutton{margin-left:0px;}
-.track-content{overflow:hidden;text-align:center;border-top:1px solid #eee;border-bottom:2px solid #eee;background:#eee url('/static/images/tracks/diag_bg.gif');min-height:16px;}
+.track-content{text-align:center;border-top:1px solid #eee;border-bottom:2px solid #eee;background:#eee url('/static/images/tracks/diag_bg.gif');min-height:16px;}
.label-track .track-content{background:white;}
.track-tile{background:white;}
.track-tile canvas{position:relative;z-index:100;}
@@ -62,3 +62,4 @@
.icon.more-across{background:url('../images/fugue/arrow-transition-bw.png') no-repeat 0px 0px;}
.intro{padding:1em;}
.intro > .action-button{background-color:#CCC;padding:1em;}
+.feature-popup{background-color:#DDD;position:absolute;z-index:1000}
--- a/static/june_2007_style/trackster.css.tmpl Tue Oct 11 10:09:32 2011 -0400
+++ b/static/june_2007_style/trackster.css.tmpl Tue Oct 11 14:05:08 2011 -0400
@@ -156,7 +156,6 @@
}
.track-content {
- overflow: hidden;
text-align: center;
border-top: 1px solid #eee;
border-bottom: 2px solid #eee;
@@ -335,4 +334,8 @@
background-color: #CCC;
padding: 1em;
}
-
+.feature-popup{
+ background-color: #DDD;
+ position: absolute;
+ z-index: 1000
+}
--- a/static/scripts/packed/trackster.js Tue Oct 11 10:09:32 2011 -0400
+++ b/static/scripts/packed/trackster.js Tue Oct 11 14:05:08 2011 -0400
@@ -1,1 +1,1 @@
-var class_module=function(b,a){var c=function(){var f=arguments[0];for(var e=1;e<arguments.length;e++){var d=arguments[e];for(key in d){f[key]=d[key]}}return f};a.extend=c};var requestAnimationFrame=(function(){return window.requestAnimationFrame||window.webkitRequestAnimationFrame||window.mozRequestAnimationFrame||window.oRequestAnimationFrame||window.msRequestAnimationFrame||function(b,a){window.setTimeout(b,1000/60)}})();var BEFORE=1001,CONTAINS=1002,OVERLAP_START=1003,OVERLAP_END=1004,CONTAINED_BY=1005,AFTER=1006;var compute_overlap=function(e,b){var g=e[0],f=e[1],d=b[0],c=b[1],a;if(g<d){if(f<d){a=BEFORE}else{if(f<=c){a=OVERLAP_START}else{a=CONTAINS}}}else{if(g>c){a=AFTER}else{if(f<=c){a=CONTAINED_BY}else{a=OVERLAP_END}}}return a};var is_overlap=function(c,b){var a=compute_overlap(c,b);return(a!==BEFORE&&a!==AFTER)};var trackster_module=function(f,aa){var q=f("class").extend,t=f("slotting"),N=f("painters");var ag=function(ah,ai){this.document=ah;this.default_font=ai!==undefined?ai:"9px Monaco, Lucida Console, monospace";this.dummy_canvas=this.new_canvas();this.dummy_context=this.dummy_canvas.getContext("2d");this.dummy_context.font=this.default_font;this.char_width_px=this.dummy_context.measureText("A").width;this.patterns={};this.load_pattern("right_strand","/visualization/strand_right.png");this.load_pattern("left_strand","/visualization/strand_left.png");this.load_pattern("right_strand_inv","/visualization/strand_right_inv.png");this.load_pattern("left_strand_inv","/visualization/strand_left_inv.png")};q(ag.prototype,{load_pattern:function(ah,al){var ai=this.patterns,aj=this.dummy_context,ak=new Image();ak.src=image_path+al;ak.onload=function(){ai[ah]=aj.createPattern(ak,"repeat")}},get_pattern:function(ah){return this.patterns[ah]},new_canvas:function(){var ah=this.document.createElement("canvas");if(window.G_vmlCanvasManager){G_vmlCanvasManager.initElement(ah)}ah.manager=this;return ah}});var o={};var m=function(ah,ai){o[ah.attr("id")]=ai};var n=function(ah,aj,al,ak){al=".group";var ai={};o[ah.attr("id")]=ak;ah.bind("drag",{handle:"."+aj,relative:true},function(au,av){var at=$(this);var ay=$(this).parent(),ap=ay.children(),ar=o[$(this).attr("id")],ao,an,aw,am,aq;an=$(this).parents(al);if(an.length!==0){aw=an.position().top;am=aw+an.outerHeight();if(av.offsetY<aw){$(this).insertBefore(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable_before(ar,ax);return}else{if(av.offsetY>am){$(this).insertAfter(an);var ax=o[an.attr("id")];ax.remove_drawable(ar);ax.container.add_drawable(ar);return}}}an=null;for(aq=0;aq<ap.length;aq++){ao=$(ap.get(aq));aw=ao.position().top;am=aw+ao.outerHeight();if(ao.is(al)&&this!==ao.get(0)&&av.offsetY>=aw&&av.offsetY<=am){if(av.offsetY-aw<am-av.offsetY){ao.find(".content-div").prepend(this)}else{ao.find(".content-div").append(this)}if(ar.container){ar.container.remove_drawable(ar)}o[ao.attr("id")].add_drawable(ar);return}}for(aq=0;aq<ap.length;aq++){if(av.offsetY<$(ap.get(aq)).position().top){break}}if(aq===ap.length){if(this!==ap.get(aq-1)){ay.append(this);o[ay.attr("id")].move_drawable(ar,aq)}}else{if(this!==ap.get(aq)){$(this).insertBefore(ap.get(aq));o[ay.attr("id")].move_drawable(ar,(av.deltaY>0?aq-1:aq))}}}).bind("dragstart",function(){ai["border-top"]=ah.css("border-top");ai["border-bottom"]=ah.css("border-bottom");$(this).css({"border-top":"1px solid blue","border-bottom":"1px solid blue"})}).bind("dragend",function(){$(this).css(ai)})};aa.moveable=n;var af=16,I=9,F=20,V=I+2,B=100,K=12000,T=200,E=5,w=10,M=5000,x=100,p="There was an error in indexing this dataset. ",L="A converter for this dataset is not installed. Please check your datatypes_conf.xml file.",G="No data for this chrom/contig.",u="Currently indexing... please wait",z="Tool cannot be rerun: ",a="Loading data...",ab="Ready for display",d=10,v=5,D=5;function y(ah){return Math.round(ah*1000)/1000}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var U=function(ai,ah,aj){c.call(this,ai);this.track=ah;this.subset=(aj!==undefined?aj:true)};q(U.prototype,c.prototype,{load_data:function(aq,al,ao,ai,an){var ap=this.track.view.chrom,ak={chrom:ap,low:aq,high:al,mode:ao,resolution:ai,dataset_id:this.track.dataset_id,hda_ldda:this.track.hda_ldda};$.extend(ak,an);if(this.track.filters_manager){var ar=[];var ah=this.track.filters_manager.filters;for(var am=0;am<ah.length;am++){ar[ar.length]=ah[am].name}ak.filter_cols=JSON.stringify(ar)}var aj=this;return $.getJSON(this.track.data_url,ak,function(at){aj.set_data(aq,al,ao,at)})},get_data:function(ah,al,am,ai,ak){var aj=this.get_data_from_cache(ah,al,am);if(aj){return aj}aj=this.load_data(ah,al,am,ai,ak);this.set_data(ah,al,am,aj);return aj},DEEP_DATA_REQ:"deep",BROAD_DATA_REQ:"breadth",get_more_data:function(ap,ak,ao,aj,an,al){var aq=this.get_data_from_cache(ap,ak,ao);if(!aq){console.log("ERROR: no current data for: ",this.track,ap,ak,ao,aj,an);return}aq.stale=true;var ai=ap;if(al===this.DEEP_DATA_REQ){$.extend(an,{start_val:aq.data.length+1})}else{if(al===this.BROAD_DATA_REQ){ai=(aq.max_high?aq.max_high:aq.data[aq.data.length-1][2])+1}}var ah=this,am=this.load_data(ai,ak,ao,aj,an);new_data_available=$.Deferred();this.set_data(ap,ak,ao,new_data_available);$.when(am).then(function(ar){if(ar.data){ar.data=aq.data.concat(ar.data);if(ar.max_low){ar.max_low=aq.max_low}if(ar.message){ar.message=ar.message.replace(/[0-9]+/,ar.data.length)}}ah.set_data(ap,ak,ao,ar);new_data_available.resolve(ar)});return new_data_available},get_data_from_cache:function(ah,ai,aj){return this.get(this.gen_key(ah,ai,aj))},set_data:function(ai,aj,ak,ah){return this.set(this.gen_key(ai,aj,ak),ah)},gen_key:function(ah,aj,ak){var ai=ah+"_"+aj+"_"+ak;return ai},split_key:function(ah){return ah.split("_")}});var J=function(ai,ah,aj){U.call(this,ai,ah,aj)};q(J.prototype,U.prototype,c.prototype,{load_data:function(aj,ah,al,am,ai,ak){if(ai>1){return}return U.prototype.load_data.call(this,aj,ah,al,am,ai,ak)}});var r=function(ak,ai,ah,aj,al){this.name=ak;this.view=ai;this.container=ah;this.drag_handle_class=al;this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ak}],saved_values:aj,onchange:function(){this.track.set_name(this.track.config.values.name)}});this.prefs=this.config.values};q(r.prototype,{init:function(){},request_draw:function(){},_draw:function(){},to_json:function(){},make_name_popup_menu:function(){},set_name:function(ah){this.old_name=this.name;this.name=ah;this.name_div.text(this.name)},revert_name:function(){this.name=this.old_name;this.name_div.text(this.name)},remove:function(){this.container.remove_drawable(this);this.container_div.fadeOut("slow",function(){$(this).remove();view.update_intro_div();view.has_changes=true})}});var A=function(al,ak,ai,ah,aj,am){r.call(this,ak,ai,ah,aj,am);this.obj_type=al;this.drawables=[]};q(A.prototype,r.prototype,{init:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah].init()}},_draw:function(){for(var ah=0;ah<this.drawables.length;ah++){this.drawables[ah]._draw()}},to_json:function(){var ai=[];for(var ah=0;ah<this.drawables.length;ah++){ai.push(this.drawables[ah].to_json())}return{name:this.name,prefs:this.prefs,obj_type:this.obj_type,drawables:ai}},add_drawable:function(ah){this.drawables.push(ah);ah.container=this},add_drawable_before:function(aj,ah){var ai=this.drawables.indexOf(ah);if(ai!=-1){this.drawables.splice(ai,0,aj);return true}return false},remove_drawable:function(ai){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);ai.container=null;return true}return false},move_drawable:function(ai,aj){var ah=this.drawables.indexOf(ai);if(ah!=-1){this.drawables.splice(ah,1);this.drawables.splice(aj,0,ai);return true}return false}});var S=function(ak,ai,ah,aj){A.call(this,"DrawableGroup",ak,ai,ah,aj,"group-handle");if(!S.id_counter){S.id_counter=0}var al=S.id_counter++;this.container_div=$("<div/>").addClass("group").attr("id","group_"+al).appendTo(this.container.content_div);this.header_div=$("<div/>").addClass("track-header").appendTo(this.container_div);this.header_div.append($("<div/>").addClass(this.drag_handle_class));this.name_div=$("<div/>").addClass("group-name menubutton popup").text(this.name).appendTo(this.header_div);this.content_div=$("<div/>").addClass("content-div").attr("id","group_"+al+"_content_div").appendTo(this.container_div);m(this.container_div,this);m(this.content_div,this);n(this.container_div,this.drag_handle_class,".group",this);this.make_name_popup_menu()};q(S.prototype,r.prototype,A.prototype,{make_name_popup_menu:function(){var ai=this;var ah={};ah["Edit configuration"]=function(){var al=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},aj=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(am){if((am.keyCode||am.which)===27){al()}else{if((am.keyCode||am.which)===13){aj()}}};$(window).bind("keypress.check_enter_esc",ak);show_modal("Configure Group",ai.config.build_form(),{Cancel:al,OK:aj})};ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)}});var ae=function(ah,ak,aj,ai){A.call(this,"View");this.container=ah;this.chrom=null;this.vis_id=aj;this.dbkey=ai;this.title=ak;this.tracks=this.drawables;this.label_tracks=[];this.tracks_to_be_redrawn=[];this.max_low=0;this.max_high=0;this.zoom_factor=3;this.min_separation=30;this.has_changes=false;this.load_chroms_deferred=null;this.init();this.canvas_manager=new ag(ah.get(0).ownerDocument);this.reset()};q(ae.prototype,A.prototype,{init:function(){var aj=this.container,ah=this;this.top_container=$("<div/>").addClass("top-container").appendTo(aj);this.browser_content_div=$("<div/>").addClass("content").css("position","relative").appendTo(aj);this.bottom_container=$("<div/>").addClass("bottom-container").appendTo(aj);this.top_labeltrack=$("<div/>").addClass("top-labeltrack").appendTo(this.top_container);this.viewport_container=$("<div/>").addClass("viewport-container").attr("id","viewport-container").appendTo(this.browser_content_div);this.content_div=this.viewport_container;m(this.viewport_container,ah);this.intro_div=$("<div/>").addClass("intro");var ak=$("<div/>").text("Add Datasets to Visualization").addClass("action-button").appendTo(this.intro_div).click(function(){add_tracks()});this.nav_labeltrack=$("<div/>").addClass("nav-labeltrack").appendTo(this.bottom_container);this.nav_container=$("<div/>").addClass("nav-container").prependTo(this.top_container);this.nav=$("<div/>").addClass("nav").appendTo(this.nav_container);this.overview=$("<div/>").addClass("overview").appendTo(this.bottom_container);this.overview_viewport=$("<div/>").addClass("overview-viewport").appendTo(this.overview);this.overview_close=$("<a href='javascript:void(0);'>Close Overview</a>").addClass("overview-close").hide().appendTo(this.overview_viewport);this.overview_highlight=$("<div/>").addClass("overview-highlight").hide().appendTo(this.overview_viewport);this.overview_box_background=$("<div/>").addClass("overview-boxback").appendTo(this.overview_viewport);this.overview_box=$("<div/>").addClass("overview-box").appendTo(this.overview_viewport);this.default_overview_height=this.overview_box.height();this.nav_controls=$("<div/>").addClass("nav-controls").appendTo(this.nav);this.chrom_select=$("<select/>").attr({name:"chrom"}).css("width","15em").addClass("no-autocomplete").append("<option value=''>Loading</option>").appendTo(this.nav_controls);var ai=function(al){if(al.type==="focusout"||(al.keyCode||al.which)===13||(al.keyCode||al.which)===27){if((al.keyCode||al.which)!==27){ah.go_to($(this).val())}$(this).hide();$(this).val("");ah.location_span.show();ah.chrom_select.show()}};this.nav_input=$("<input/>").addClass("nav-input").hide().bind("keyup focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new C(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(al,ai,an){if(!al||al==="None"){return}var ak=this;if(al==="previous"){ak.load_chroms({low:this.chrom_start_index-x});return}if(al==="next"){ak.load_chroms({low:this.chrom_start_index+x});return}var am=$.grep(ak.chrom_data,function(ap,aq){return ap.chrom===al})[0];if(am===undefined){ak.load_chroms({chrom:al},function(){ak.change_chrom(al,ai,an)});return}else{if(al!==ak.chrom){ak.chrom=al;ak.chrom_select.val(ak.chrom);ak.max_high=am.len-1;ak.reset();ak.request_redraw(true);for(var ao=0,ah=ak.tracks.length;ao<ah;ao++){var aj=ak.tracks[ao];if(aj.init){aj.init()}}}if(ai!==undefined&&an!==undefined){ak.low=Math.max(ai,0);ak.high=Math.min(an,ak.max_high)}ak.reset_overview();ak.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){A.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){A.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.tracks),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(E,Math.ceil(Math.log((this.high-this.low)/T)/Math.log(E)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new P(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new S(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new X(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(L)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(z+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var P=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){P.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var Y=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(Y.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=parseFloat(ah[this.index]);return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new Y(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var Q=function(ai,ah){N.AlphaGenerator.call(this,ah);this.filter=ai};Q.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var H=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(H.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(aj,ai,ah,ak){this.index=aj;this.low=aj*T*ai;this.high=(aj+1)*T*ai;this.resolution=ai;this.canvas=$("<div class='track-tile'/>").append(ah);this.data=ak;this.stale=false};var l=function(aj,ai,ah,ak,al){b.call(this,aj,ai,ah,ak);this.max_val=al};var R=function(ak,aj,ai,an,am,ah){b.call(this,ak,aj,ai,an);this.message=am;this.feature_mapper=ah;var al=this;$(this.canvas).mousemove(function(ap){var ao=al.feature_mapper.get_feature_data(ap.offsetX,ap.offsetY)})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:M);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof C){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Z){return"ReadTrack"}else{if(this instanceof X){return"ToolDataFeatureTrack"}else{if(this instanceof W){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var ak=ah.view.tracks.indexOf(ah);var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(L)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(G)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(ab);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var O=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(O.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(E,Math.ceil(Math.log((view.max_high-view.max_low)/T)/Math.log(E))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?V:0));new_tile=new b(-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof C)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/T);var ap=true;var at=[];var ah=0;while((ai*T*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",F)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*T*an,ax=ap+T*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:F-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*T*ai,al=T*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var C=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});O.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new J(D,this,false);this.tile_cache=new c(v)};q(C.prototype,r.prototype,O.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=T*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);O.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new U(D,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.track_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.track_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,O.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this,ai=ah.view.tracks.indexOf(ah);ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(aj){ah.container_div.addClass("line-track");var al=aj.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=al.min;ah.prefs.max_value=al.max;$("#track_"+ai+"_minval").val(ah.prefs.min_value);$("#track_"+ai+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=al.total_frequency;ah.container_div.find(".yaxislabel").remove();var am=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_minval").text(y(ah.prefs.min_value));var ak=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_maxval").text(y(ah.prefs.max_value));ak.css({position:"absolute",top:"24px",left:"10px"});ak.prependTo(ah.container_div);am.css({position:"absolute",bottom:"2px",left:"10px"});am.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new N.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);O.call(this,ak,al);this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new U(20,this);this.left_offset=200;this.painter=N.LinkedFeaturePainter};q(e.prototype,r.prototype,O.prototype,{postdraw_actions:function(ax,ah,ay,aw){O.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",B,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>K){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+V;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new N.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,V);aM.draw(aD,aC,an);return new l(aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var aG=false;var av;for(var aK=0,aN=au.length;aK<aN;aK++){av=au[aK];av.update_attrs(ao);if(!av.keep(ao)){aG=true;break}}if(!aG){aq.push(ao)}}}var aA=(this.filters_manager.alpha_filter?new Q(this.filters_manager.alpha_filter):null);var aM=new (this.painter)(aq,aL,ai,this.prefs,az,aA,ak);var an=Math.max(af,aM.get_required_height(ap));var aj=this.view.canvas_manager.new_canvas();var aJ=null;aj.width=aC+al;aj.height=an;var aD=aj.getContext("2d");aD.fillStyle=this.prefs.block_color;aD.font=aD.canvas.manager.default_font;aD.textAlign="right";this.container_div.find(".yaxislabel").remove();if(aw.data){aD.translate(al,0);aJ=aM.draw(aD,aC,an,ax);aJ.translation=-al}return new R(aI,aE,aj,aw.data,aw.message,aJ)}});var W=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.painter=N.VariantPainter};q(W.prototype,r.prototype,O.prototype,e.prototype);var Z=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.config=new H({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=N.ReadPainter;this.make_name_popup_menu()};q(Z.prototype,r.prototype,O.prototype,e.prototype);var X=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(X.prototype,r.prototype,O.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=M;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});aa.View=ae;aa.DrawableGroup=S;aa.LineTrack=k;aa.FeatureTrack=e;aa.ReadTrack=Z};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var D=A-E/2,C=A+E/2,F=z-Math.sqrt(E*3/2);B.beginPath();B.moveTo(D,F);B.lineTo(C,F);B.lineTo(A,z);B.lineTo(D,F);B.strokeStyle=this.fillStyle;B.fill();B.stroke();B.closePath()};var g=function(z){this.default_alpha=(z?z:1)};g.prototype.gen_alpha=function(z){return this.default_alpha};var n=function(B,D,z,A,C){this.data=B;this.view_start=D;this.view_end=z;this.prefs=v({},this.default_prefs,A);this.mode=C};n.prototype.default_prefs={};var w=function(B,D,z,A,C){n.call(this,B,D,z,A,C)};w.prototype.default_prefs={show_counts:false};w.prototype.draw=function(M,z,L){var E=this.view_start,O=this.view_end-this.view_start,N=z/O;var J=this.data.data,I=this.data.delta,G=this.data.max,B=L;delta_x_px=Math.ceil(I*N);M.save();for(var C=0,D=J.length;C<D;C++){var H=Math.floor((J[C][0]-E)*N);var F=J[C][1];if(!F){continue}var K=F/G*L;if(F!==0&&K<1){K=1}M.fillStyle=this.prefs.block_color;M.fillRect(H,B-K,delta_x_px,K);var A=4;if(this.prefs.show_counts&&(M.measureText(F).width+A)<delta_x_px){M.fillStyle=this.prefs.label_color;M.textAlign="center";M.fillText(F,H+(delta_x_px/2),10)}}M.restore()};var c=function(z,D,F,G,B){n.call(this,z,D,F,G,B);if(this.prefs.min_value===undefined){var H=Infinity;for(var A=0,C=this.data.length;A<C;A++){H=Math.min(H,this.data[A][1])}this.prefs.min_value=H}if(this.prefs.max_value===undefined){var E=-Infinity;for(var A=0,C=this.data.length;A<C;A++){E=Math.max(E,this.data[A][1])}this.prefs.max_value=E}};c.prototype.default_prefs={min_value:undefined,max_value:undefined,mode:"Histogram",color:"#000",overflow_color:"#F66"};c.prototype.draw=function(N,M,K){var F=false,H=this.prefs.min_value,D=this.prefs.max_value,J=D-H,z=K,A=this.view_start,L=this.view_end-this.view_start,B=M/L,I=this.mode,T=this.data;N.save();var U=Math.round(K+H/J*K);if(I!=="Intensity"){N.fillStyle="#aaa";N.fillRect(0,U,M,1)}N.beginPath();var R,E,C;if(T.length>1){C=Math.ceil((T[1][0]-T[0][0])*B)}else{C=10}for(var O=0,P=T.length;O<P;O++){N.fillStyle=this.prefs.color;R=Math.round((T[O][0]-A)*B);E=T[O][1];var Q=false,G=false;if(E===null){if(F&&I==="Filled"){N.lineTo(R,z)}F=false;continue}if(E<H){G=true;E=H}else{if(E>D){Q=true;E=D}}if(I==="Histogram"){E=Math.round(E/J*z);N.fillRect(R,U,C,-E)}else{if(I==="Intensity"){E=255-Math.floor((E-H)/J*255);N.fillStyle="rgb("+E+","+E+","+E+")";N.fillRect(R,0,C,z)}else{E=Math.round(z-(E-H)/J*z);if(F){N.lineTo(R,E)}else{F=true;if(I==="Filled"){N.moveTo(R,z);N.lineTo(R,E)}else{N.moveTo(R,E)}}}}N.fillStyle=this.prefs.overflow_color;if(Q||G){var S;if(I==="Histogram"||I==="Intensity"){S=C}else{R-=2;S=4}if(Q){N.fillRect(R,0,S,3)}if(G){N.fillRect(R,z-3,S,3)}}N.fillStyle=this.prefs.color}if(I==="Filled"){if(F){N.lineTo(R,U);N.lineTo(0,U)}N.fill()}else{N.stroke()}N.restore()};var o=function(z){this.feature_positions={};this.slot_height=z;this.translation=0};o.prototype.map_feature_data=function(A,C,z,B){if(!this.feature_positions[C]){this.feature_positions[C]=[]}this.feature_positions[C].push({data:A,x_start:z,x_end:B})};o.prototype.get_feature_data=function(z,D){var C=Math.floor(D/this.slot_height),B;if(!this.feature_positions[C]){return null}z+=this.translation;for(var A=0;A<this.feature_positions[C].length;A++){B=this.feature_positions[C][A];if(z>=B.x_start&&z<=B.x_end){return B.data}}};var p=function(C,E,z,B,D,A){n.call(this,C,E,z,B,D);this.alpha_generator=(A?A:new g())};p.prototype.default_prefs={block_color:"#FFF",connector_color:"#FFF"};v(p.prototype,{get_required_height:function(A){var z=y_scale=this.get_row_height(),B=this.mode;if(B==="no_detail"||B==="Squish"||B==="Pack"){z=A*y_scale}return z+Math.max(Math.round(y_scale/2),5)},draw:function(L,J,H,G){var R=this.data,E=this.view_start,N=this.view_end;L.save();L.fillStyle=this.prefs.block_color;L.textAlign="right";var I=this.view_end-this.view_start,F=J/I,M=this.get_row_height(),Q=new o(M),C;for(var O=0,P=R.length;O<P;O++){var B=R[O],D=B[0],K=B[1],z=B[2],A=(G&&G[D]!==undefined?G[D]:null);if((K<N&&z>E)&&(this.mode=="Dense"||A!==null)){C=this.draw_element(L,this.mode,B,A,E,N,F,M,J);Q.map_feature_data(B,A,C[0],C[1])}}L.restore();return Q},draw_element:function(F,B,H,D,C,E,G,A,z){console.log("WARNING: Unimplemented function.");return[0,0]}});var d=10,j=3,m=5,x=10,f=1,t=3,e=3,a=9,l=2,h="#ccc";var s=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(s.prototype,p.prototype,{get_row_height:function(){var A=this.mode,z;if(A==="Dense"){z=d}else{if(A==="no_detail"){z=j}else{if(A==="Squish"){z=m}else{z=x}}}return z},draw_element:function(L,E,T,G,N,ae,ai,ak,z){var Q=T[0],ag=T[1],Y=T[2],O=T[3],Z=Math.floor(Math.max(0,(ag-N)*ai)),M=Math.ceil(Math.min(z,Math.max(0,(Y-N)*ai))),X=Z,aj=M,W=(E==="Dense"?0:(0+G))*ak,K,ac,P=null,al=null,C=this.prefs.block_color,ab=this.prefs.label_color;L.globalAlpha=this.alpha_generator.gen_alpha(T);if(E=="Dense"){G=1}if(E==="no_detail"){L.fillStyle=C;L.fillRect(Z,W+5,M-Z,f)}else{var J=T[4],V=T[5],aa=T[6],D=T[7];if(V&&aa){P=Math.floor(Math.max(0,(V-N)*ai));al=Math.ceil(Math.min(z,Math.max(0,(aa-N)*ai)))}var ah,R;if(E==="Squish"||E==="Dense"){ah=1;R=e}else{ah=5;R=a}if(!D){if(T.strand){if(T.strand==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(T.strand==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}}else{L.fillStyle=C}L.fillRect(Z,W,M-Z,R)}else{var I,S;if(E==="Squish"||E==="Dense"){L.fillStyle=h;I=W+Math.floor(e/2)+1;S=1}else{if(J){var I=W;var 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Please check your datatypes_conf.xml file.",F="No data for this chrom/contig.",u="Currently indexing... please wait",y="Tool cannot be rerun: ",a="Loading data...",aa="Ready for display",d=10,v=5,C=5;function ab(ai,ah){if(!ah){ah=0}var aj=Math.pow(10,ah);return Math.round(ai*aj)/aj}var c=function(ah){this.num_elements=ah;this.clear()};q(c.prototype,{get:function(ai){var ah=this.key_ary.indexOf(ai);if(ah!==-1){if(this.obj_cache[ai].stale){this.key_ary.splice(ah,1);delete this.obj_cache[ai]}else{this.move_key_to_end(ai,ah)}}return this.obj_cache[ai]},set:function(ai,aj){if(!this.obj_cache[ai]){if(this.key_ary.length>=this.num_elements){var ah=this.key_ary.shift();delete this.obj_cache[ah]}this.key_ary.push(ai)}this.obj_cache[ai]=aj;return aj},move_key_to_end:function(ai,ah){this.key_ary.splice(ah,1);this.key_ary.push(ai)},clear:function(){this.obj_cache={};this.key_ary=[]},size:function(){return this.key_ary.length}});var 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al=R.id_counter++;this.container_div=$("<div/>").addClass("group").attr("id","group_"+al).appendTo(this.container.content_div);this.header_div=$("<div/>").addClass("track-header").appendTo(this.container_div);this.header_div.append($("<div/>").addClass(this.drag_handle_class));this.name_div=$("<div/>").addClass("group-name menubutton popup").text(this.name).appendTo(this.header_div);this.content_div=$("<div/>").addClass("content-div").attr("id","group_"+al+"_content_div").appendTo(this.container_div);m(this.container_div,this);m(this.content_div,this);n(this.container_div,this.drag_handle_class,".group",this);this.make_name_popup_menu()};q(R.prototype,r.prototype,z.prototype,{make_name_popup_menu:function(){var ai=this;var ah={};ah["Edit configuration"]=function(){var al=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},aj=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(am){if((am.keyCode||am.which)===27){al()}else{if((am.keyCode||am.which)===13){aj()}}};$(window).bind("keypress.check_enter_esc",ak);show_modal("Configure Group",ai.config.build_form(),{Cancel:al,OK:aj})};ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)}});var ae=function(ah,ak,aj,ai){z.call(this,"View");this.container=ah;this.chrom=null;this.vis_id=aj;this.dbkey=ai;this.title=ak;this.tracks=this.drawables;this.label_tracks=[];this.tracks_to_be_redrawn=[];this.max_low=0;this.max_high=0;this.zoom_factor=3;this.min_separation=30;this.has_changes=false;this.load_chroms_deferred=null;this.init();this.canvas_manager=new ag(ah.get(0).ownerDocument);this.reset()};q(ae.prototype,z.prototype,{init:function(){var aj=this.container,ah=this;this.top_container=$("<div/>").addClass("top-container").appendTo(aj);this.browser_content_div=$("<div/>").addClass("content").css("position","relative").appendTo(aj);this.bottom_container=$("<div/>").addClass("bottom-container").appendTo(aj);this.top_labeltrack=$("<div/>").addClass("top-labeltrack").appendTo(this.top_container);this.viewport_container=$("<div/>").addClass("viewport-container").attr("id","viewport-container").appendTo(this.browser_content_div);this.content_div=this.viewport_container;m(this.viewport_container,ah);this.intro_div=$("<div/>").addClass("intro");var ak=$("<div/>").text("Add Datasets to Visualization").addClass("action-button").appendTo(this.intro_div).click(function(){add_tracks()});this.nav_labeltrack=$("<div/>").addClass("nav-labeltrack").appendTo(this.bottom_container);this.nav_container=$("<div/>").addClass("nav-container").prependTo(this.top_container);this.nav=$("<div/>").addClass("nav").appendTo(this.nav_container);this.overview=$("<div/>").addClass("overview").appendTo(this.bottom_container);this.overview_viewport=$("<div/>").addClass("overview-viewport").appendTo(this.overview);this.overview_close=$("<a href='javascript:void(0);'>Close Overview</a>").addClass("overview-close").hide().appendTo(this.overview_viewport);this.overview_highlight=$("<div/>").addClass("overview-highlight").hide().appendTo(this.overview_viewport);this.overview_box_background=$("<div/>").addClass("overview-boxback").appendTo(this.overview_viewport);this.overview_box=$("<div/>").addClass("overview-box").appendTo(this.overview_viewport);this.default_overview_height=this.overview_box.height();this.nav_controls=$("<div/>").addClass("nav-controls").appendTo(this.nav);this.chrom_select=$("<select/>").attr({name:"chrom"}).css("width","15em").addClass("no-autocomplete").append("<option value=''>Loading</option>").appendTo(this.nav_controls);var ai=function(al){if(al.type==="focusout"||(al.keyCode||al.which)===13||(al.keyCode||al.which)===27){if((al.keyCode||al.which)!==27){ah.go_to($(this).val())}$(this).hide();$(this).val("");ah.location_span.show();ah.chrom_select.show()}};this.nav_input=$("<input/>").addClass("nav-input").hide().bind("keyup focusout",ai).appendTo(this.nav_controls);this.location_span=$("<span/>").addClass("location").appendTo(this.nav_controls);this.location_span.click(function(){ah.location_span.hide();ah.chrom_select.hide();ah.nav_input.val(ah.chrom+":"+ah.low+"-"+ah.high);ah.nav_input.css("display","inline-block");ah.nav_input.select();ah.nav_input.focus()});if(this.vis_id!==undefined){this.hidden_input=$("<input/>").attr("type","hidden").val(this.vis_id).appendTo(this.nav_controls)}this.zo_link=$("<a id='zoom-out' />").click(function(){ah.zoom_out();ah.request_redraw()}).appendTo(this.nav_controls);this.zi_link=$("<a id='zoom-in' />").click(function(){ah.zoom_in();ah.request_redraw()}).appendTo(this.nav_controls);this.load_chroms_deferred=this.load_chroms({low:0});this.chrom_select.bind("change",function(){ah.change_chrom(ah.chrom_select.val())});this.browser_content_div.click(function(al){$(this).find("input").trigger("blur")});this.browser_content_div.bind("dblclick",function(al){ah.zoom_in(al.pageX,this.viewport_container)});this.overview_box.bind("dragstart",function(al,am){this.current_x=am.offsetX}).bind("drag",function(al,an){var ao=an.offsetX-this.current_x;this.current_x=an.offsetX;var am=Math.round(ao/ah.viewport_container.width()*(ah.max_high-ah.max_low));ah.move_delta(-am)});this.overview_close.click(function(){ah.reset_overview()});this.viewport_container.bind("draginit",function(al,am){if(al.clientX>ah.viewport_container.width()-16){return false}}).bind("dragstart",function(al,am){am.original_low=ah.low;am.current_height=al.clientY;am.current_x=am.offsetX}).bind("drag",function(an,ap){var al=$(this);var aq=ap.offsetX-ap.current_x;var am=al.scrollTop()-(an.clientY-ap.current_height);al.scrollTop(am);ap.current_height=an.clientY;ap.current_x=ap.offsetX;var ao=Math.round(aq/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}).bind("mousewheel",function(an,ap,am,al){if(am){var ao=Math.round(-am/ah.viewport_container.width()*(ah.high-ah.low));ah.move_delta(ao)}});this.top_labeltrack.bind("dragstart",function(al,am){return $("<div />").css({height:ah.browser_content_div.height()+ah.top_labeltrack.height()+ah.nav_labeltrack.height()+1,top:"0px",position:"absolute","background-color":"#ccf",opacity:0.5,"z-index":1000}).appendTo($(this))}).bind("drag",function(ap,aq){$(aq.proxy).css({left:Math.min(ap.pageX,aq.startX),width:Math.abs(ap.pageX-aq.startX)});var am=Math.min(ap.pageX,aq.startX)-ah.container.offset().left,al=Math.max(ap.pageX,aq.startX)-ah.container.offset().left,ao=(ah.high-ah.low),an=ah.viewport_container.width();ah.update_location(Math.round(am/an*ao)+ah.low,Math.round(al/an*ao)+ah.low)}).bind("dragend",function(aq,ar){var am=Math.min(aq.pageX,ar.startX),al=Math.max(aq.pageX,ar.startX),ao=(ah.high-ah.low),an=ah.viewport_container.width(),ap=ah.low;ah.low=Math.round(am/an*ao)+ap;ah.high=Math.round(al/an*ao)+ap;$(ar.proxy).remove();ah.request_redraw()});this.add_label_track(new ad(this,{content_div:this.top_labeltrack}));this.add_label_track(new ad(this,{content_div:this.nav_labeltrack}));$(window).bind("resize",function(){ah.resize_window()});$(document).bind("redraw",function(){ah.redraw()});this.reset();$(window).trigger("resize");this.update_intro_div()},update_intro_div:function(){if(this.num_tracks===0){this.intro_div.appendTo(this.viewport_container)}else{this.intro_div.remove()}},update_location:function(ah,ai){this.location_span.text(commatize(ah)+" - "+commatize(ai));this.nav_input.val(this.chrom+":"+commatize(ah)+"-"+commatize(ai))},load_chroms:function(aj){aj.num=x;$.extend(aj,(this.vis_id!==undefined?{vis_id:this.vis_id}:{dbkey:this.dbkey}));var ah=this,ai=$.Deferred();$.ajax({url:chrom_url,data:aj,dataType:"json",success:function(al){if(al.chrom_info.length===0){alert("Invalid chromosome: "+aj.chrom);return}if(al.reference){ah.add_label_track(new B(ah))}ah.chrom_data=al.chrom_info;var ao='<option value="">Select Chrom/Contig</option>';for(var an=0,ak=ah.chrom_data.length;an<ak;an++){var am=ah.chrom_data[an].chrom;ao+='<option value="'+am+'">'+am+"</option>"}if(al.prev_chroms){ao+='<option value="previous">Previous '+x+"</option>"}if(al.next_chroms){ao+='<option value="next">Next '+x+"</option>"}ah.chrom_select.html(ao);ah.chrom_start_index=al.start_index;ai.resolve(al)},error:function(){alert("Could not load chroms for this dbkey:",ah.dbkey)}});return ai},change_chrom:function(al,ai,an){if(!al||al==="None"){return}var ak=this;if(al==="previous"){ak.load_chroms({low:this.chrom_start_index-x});return}if(al==="next"){ak.load_chroms({low:this.chrom_start_index+x});return}var am=$.grep(ak.chrom_data,function(ap,aq){return ap.chrom===al})[0];if(am===undefined){ak.load_chroms({chrom:al},function(){ak.change_chrom(al,ai,an)});return}else{if(al!==ak.chrom){ak.chrom=al;ak.chrom_select.val(ak.chrom);ak.max_high=am.len-1;ak.reset();ak.request_redraw(true);for(var ao=0,ah=ak.tracks.length;ao<ah;ao++){var aj=ak.tracks[ao];if(aj.init){aj.init()}}}if(ai!==undefined&&an!==undefined){ak.low=Math.max(ai,0);ak.high=Math.min(an,ak.max_high)}ak.reset_overview();ak.request_redraw()}},go_to:function(al){var ap=this,ah,ak,ai=al.split(":"),an=ai[0],ao=ai[1];if(ao!==undefined){try{var am=ao.split("-");ah=parseInt(am[0].replace(/,/g,""),10);ak=parseInt(am[1].replace(/,/g,""),10)}catch(aj){return false}}ap.change_chrom(an,ah,ak)},move_fraction:function(aj){var ah=this;var ai=ah.high-ah.low;this.move_delta(aj*ai)},move_delta:function(aj){var ah=this;var ai=ah.high-ah.low;if(ah.low-aj<ah.max_low){ah.low=ah.max_low;ah.high=ah.max_low+ai}else{if(ah.high-aj>ah.max_high){ah.high=ah.max_high;ah.low=ah.max_high-ai}else{ah.high-=aj;ah.low-=aj}}ah.request_redraw()},add_drawable:function(ah){z.prototype.add_drawable.call(this,ah);ah.init();this.has_changes=true;this.update_intro_div()},add_label_track:function(ah){ah.view=this;ah.init();this.label_tracks.push(ah)},remove_drawable:function(aj,ai){z.prototype.remove_drawable.call(this,aj);if(ai){var ah=this;aj.container_div.fadeOut("slow",function(){$(this).remove();ah.update_intro_div()});this.has_changes=true}},reset:function(){this.low=this.max_low;this.high=this.max_high;this.viewport_container.find(".yaxislabel").remove()},request_redraw:function(ap,ah,ao,ai){var an=this,al=(ai?[ai]:an.tracks),aj;var ai;for(var am=0;am<al.length;am++){ai=al[am];aj=-1;for(var ak=0;ak<an.tracks_to_be_redrawn.length;ak++){if(an.tracks_to_be_redrawn[ak][0]===ai){aj=ak;break}}if(aj<0){an.tracks_to_be_redrawn.push([ai,ah,ao])}else{an.tracks_to_be_redrawn[am][1]=ah;an.tracks_to_be_redrawn[am][2]=ao}}requestAnimationFrame(function(){an._redraw(ap)})},_redraw:function(ar){var ao=this.low,ak=this.high;if(ao<this.max_low){ao=this.max_low}if(ak>this.max_high){ak=this.max_high}var aq=this.high-this.low;if(this.high!==0&&aq<this.min_separation){ak=ao+this.min_separation}this.low=Math.floor(ao);this.high=Math.ceil(ak);this.resolution=Math.pow(D,Math.ceil(Math.log((this.high-this.low)/S)/Math.log(D)));this.zoom_res=Math.pow(w,Math.max(0,Math.ceil(Math.log(this.resolution,w)/Math.log(w))));var ah=(this.low/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var an=((this.high-this.low)/(this.max_high-this.max_low)*this.overview_viewport.width())||0;var at=13;this.overview_box.css({left:ah,width:Math.max(at,an)}).show();if(an<at){this.overview_box.css("left",ah-(at-an)/2)}if(this.overview_highlight){this.overview_highlight.css({left:ah,width:an})}this.update_location(this.low,this.high);if(!ar){var aj,ai,ap;for(var al=0,am=this.tracks_to_be_redrawn.length;al<am;al++){aj=this.tracks_to_be_redrawn[al][0];ai=this.tracks_to_be_redrawn[al][1];ap=this.tracks_to_be_redrawn[al][2];if(aj){aj._draw(ai,ap)}}this.tracks_to_be_redrawn=[];for(al=0,am=this.label_tracks.length;al<am;al++){this.label_tracks[al]._draw()}}},zoom_in:function(ai,aj){if(this.max_high===0||this.high-this.low<this.min_separation){return}var ak=this.high-this.low,al=ak/2+this.low,ah=(ak/this.zoom_factor)/2;if(ai){al=ai/this.viewport_container.width()*(this.high-this.low)+this.low}this.low=Math.round(al-ah);this.high=Math.round(al+ah);this.request_redraw()},zoom_out:function(){if(this.max_high===0){return}var ai=this.high-this.low,aj=ai/2+this.low,ah=(ai*this.zoom_factor)/2;this.low=Math.round(aj-ah);this.high=Math.round(aj+ah);this.request_redraw()},resize_window:function(){this.viewport_container.height(this.container.height()-this.top_container.height()-this.bottom_container.height());this.nav_container.width(this.container.width());this.request_redraw()},set_overview:function(ah){$.when(ah.get_overview_tile()).then(function(ai){view.overview_viewport.find(".track-tile").remove();view.overview_close.show();view.overview_viewport.append(ai.canvas);view.overview_highlight.show().height(ai.canvas.height());view.overview_viewport.height(ai.canvas.height()+view.overview_box.outerHeight());view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=ah;ah.set_is_overview(true)});view.has_changes=true},reset_overview:function(){this.overview_viewport.find(".track-tile").remove();this.overview_viewport.height(this.default_overview_height);this.overview_box.height(this.default_overview_height);this.overview_close.hide();this.overview_highlight.hide();view.resize_window();if(view.overview_track){view.overview_track.set_is_overview(false)}view.overview_track=null}});var s=function(aj,an){this.track=aj;this.name=an.name;this.params=[];var av=an.params;for(var ak=0;ak<av.length;ak++){var ap=av[ak],ai=ap.name,au=ap.label,al=unescape(ap.html),aw=ap.value,ar=ap.type;if(ar==="number"){this.params[this.params.length]=new g(ai,au,al,aw,ap.min,ap.max)}else{if(ar=="select"){this.params[this.params.length]=new O(ai,au,al,aw)}else{console.log("WARNING: unrecognized tool parameter type:",ai,ar)}}}this.parent_div=$("<div/>").addClass("dynamic-tool").hide();this.parent_div.bind("drag",function(ay){ay.stopPropagation()}).click(function(ay){ay.stopPropagation()}).bind("dblclick",function(ay){ay.stopPropagation()});var at=$("<div class='tool-name'>").appendTo(this.parent_div).text(this.name);var aq=this.params;var ao=this;$.each(this.params,function(az,aC){var aB=$("<div>").addClass("param-row").appendTo(ao.parent_div);var ay=$("<div>").addClass("param-label").text(aC.label).appendTo(aB);var aA=$("<div/>").addClass("slider").html(aC.html).appendTo(aB);aA.find(":input").val(aC.value);$("<div style='clear: both;'/>").appendTo(aB)});this.parent_div.find("input").click(function(){$(this).select()});var ax=$("<div>").addClass("param-row").appendTo(this.parent_div);var am=$("<input type='submit'>").attr("value","Run on complete dataset").appendTo(ax);var ah=$("<input type='submit'>").attr("value","Run on visible region").css("margin-left","3em").appendTo(ax);var ao=this;ah.click(function(){ao.run_on_region()});am.click(function(){ao.run_on_dataset()})};q(s.prototype,{get_param_values_dict:function(){var ah={};this.parent_div.find(":input").each(function(){var ai=$(this).attr("name"),aj=$(this).val();ah[ai]=JSON.stringify(aj)});return ah},get_param_values:function(){var ai=[];var ah={};this.parent_div.find(":input").each(function(){var aj=$(this).attr("name"),ak=$(this).val();if(aj){ai[ai.length]=ak}});return ai},run_on_dataset:function(){var ah=this;ah.run({dataset_id:this.track.original_dataset_id,tool_id:ah.name},null,function(ai){show_modal(ah.name+" is Running",ah.name+" is running on the complete dataset. Tool outputs are in dataset's history.",{Close:hide_modal})})},run_on_region:function(){var ai={dataset_id:this.track.original_dataset_id,chrom:this.track.view.chrom,low:this.track.view.low,high:this.track.view.high,tool_id:this.name},al=this.track,aj=ai.tool_id+al.tool_region_and_parameters_str(ai.chrom,ai.low,ai.high),ah,am;if(al.container===view){var ak=new R(this.name,this.track.view,this.track.container);al.container.add_drawable(ak);al.container.remove_drawable(al);ak.add_drawable(al);al.container_div.appendTo(ak.content_div);ah=ak}else{ah=al.container}if(al instanceof e){am=new W(aj,view,ah,"hda");am.change_mode(al.mode);ah.add_drawable(am)}am.content_div.text("Starting job.");this.run(ai,am,function(an){am.dataset_id=an.dataset_id;am.content_div.text("Running job.");am.init()})},run:function(ai,aj,ak){$.extend(ai,this.get_param_values_dict());var ah=function(){$.getJSON(rerun_tool_url,ai,function(al){if(al==="no converter"){aj.container_div.addClass("error");aj.content_div.text(K)}else{if(al.error){aj.container_div.addClass("error");aj.content_div.text(y+al.message)}else{if(al==="pending"){aj.container_div.addClass("pending");aj.content_div.text("Converting input data so that it can be used quickly with tool.");setTimeout(ah,2000)}else{ak(al)}}}})};ah()}});var O=function(ai,ah,aj,ak){this.name=ai;this.label=ah;this.html=aj;this.value=ak};var g=function(aj,ai,al,am,ak,ah){O.call(this,aj,ai,al,am);this.min=ak;this.max=ah};var h=function(ai,ah,aj,ak){this.name=ai;this.index=ah;this.tool_id=aj;this.tool_exp_name=ak};var X=function(ai,ah,aj,ak){h.call(this,ai,ah,aj,ak);this.low=-Number.MAX_VALUE;this.high=Number.MAX_VALUE;this.min=Number.MAX_VALUE;this.max=-Number.MAX_VALUE;this.container=null;this.slider=null;this.slider_label=null};q(X.prototype,{applies_to:function(ah){if(ah.length>this.index){return true}return false},keep:function(ah){if(!this.applies_to(ah)){return true}var ai=parseFloat(ah[this.index]);return(isNaN(ai)||(ai>=this.low&&ai<=this.high))},update_attrs:function(ai){var ah=false;if(!this.applies_to(ai)){return ah}if(ai[this.index]<this.min){this.min=Math.floor(ai[this.index]);ah=true}if(ai[this.index]>this.max){this.max=Math.ceil(ai[this.index]);ah=true}return ah},update_ui_elt:function(){if(this.min!=this.max){this.container.show()}else{this.container.hide()}var aj=function(am,ak){var al=ak-am;return(al<=2?0.01:1)};var ai=this.slider.slider("option","min"),ah=this.slider.slider("option","max");if(this.min<ai||this.max>ah){this.slider.slider("option","min",this.min);this.slider.slider("option","max",this.max);this.slider.slider("option","step",aj(this.min,this.max));this.slider.slider("option","values",[this.min,this.max])}}});var ac=function(ar,ay){this.track=ar;this.filters=[];for(var at=0;at<ay.length;at++){var au=ay[at],az=au.name,ah=au.type,ak=au.index,ax=au.tool_id,aw=au.tool_exp_name;if(ah==="int"||ah==="float"){this.filters[at]=new X(az,ak,ax,aw)}else{console.log("ERROR: unsupported filter: ",az,ah)}}var al=function(aA,aB,aC){aA.click(function(){var aD=aB.text();max=parseFloat(aC.slider("option","max")),input_size=(max<=1?4:max<=1000000?max.toString().length:6),multi_value=false;if(aC.slider("option","values")){input_size=2*input_size+1;multi_value=true}aB.text("");$("<input type='text'/>").attr("size",input_size).attr("maxlength",input_size).attr("value",aD).appendTo(aB).focus().select().click(function(aE){aE.stopPropagation()}).blur(function(){$(this).remove();aB.text(aD)}).keyup(function(aI){if(aI.keyCode===27){$(this).trigger("blur")}else{if(aI.keyCode===13){var aG=aC.slider("option","min"),aE=aC.slider("option","max"),aH=function(aJ){return(isNaN(aJ)||aJ>aE||aJ<aG)},aF=$(this).val();if(!multi_value){aF=parseFloat(aF);if(aH(aF)){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}else{aF=aF.split("-");aF=[parseFloat(aF[0]),parseFloat(aF[1])];if(aH(aF[0])||aH(aF[1])){alert("Parameter value must be in the range ["+aG+"-"+aE+"]");return $(this)}}aC.slider((multi_value?"values":"value"),aF)}}})})};this.parent_div=$("<div/>").addClass("filters").hide();this.parent_div.bind("drag",function(aA){aA.stopPropagation()}).click(function(aA){aA.stopPropagation()}).bind("dblclick",function(aA){aA.stopPropagation()}).bind("keydown",function(aA){aA.stopPropagation()});var av=$("<div/>").addClass("sliders").appendTo(this.parent_div);var ap=this;$.each(this.filters,function(aD,aF){aF.container=$("<div/>").addClass("slider-row").appendTo(av);var aE=$("<div/>").addClass("elt-label").appendTo(aF.container);var aC=$("<span/>").addClass("slider-name").text(aF.name+" ").appendTo(aE);var aB=$("<span/>");var aH=$("<span/>").addClass("slider-value").appendTo(aE).append("[").append(aB).append("]");var aA=$("<div/>").addClass("slider").appendTo(aF.container);aF.control_element=$("<div/>").attr("id",aF.name+"-filter-control").appendTo(aA);var aG=[0,0];aF.control_element.slider({range:true,min:Number.MAX_VALUE,max:-Number.MIN_VALUE,values:[0,0],slide:function(aJ,aK){var aI=aK.values;aB.text(aI[0]+"-"+aI[1]);aF.low=aI[0];aF.high=aI[1];ap.track.request_draw(true,true)},change:function(aI,aJ){aF.control_element.slider("option","slide").call(aF.control_element,aI,aJ)}});aF.slider=aF.control_element;aF.slider_label=aB;al(aH,aB,aF.control_element);$("<div style='clear: both;'/>").appendTo(aF.container)});if(this.filters.length!==0){var am=$("<div/>").addClass("param-row").appendTo(av);var ao=$("<input type='submit'/>").attr("value","Run on complete dataset").appendTo(am);var aj=this;ao.click(function(){aj.run_on_dataset()})}var aq=$("<div/>").addClass("display-controls").appendTo(this.parent_div),an=$("<span/>").addClass("elt-label").text("Transparency:").appendTo(aq),ai=$("<select/>").attr("name","alpha_dropdown").appendTo(aq);this.alpha_filter=null;$("<option/>").attr("value",-1).text("== None ==").appendTo(ai);for(var at=0;at<this.filters.length;at++){$("<option/>").attr("value",at).text(this.filters[at].name).appendTo(ai)}ai.change(function(){$(this).children("option:selected").each(function(){var aA=parseInt($(this).val());ap.alpha_filter=(aA>=0?ap.filters[aA]:null);ap.track.request_draw(true,true)})});$("<div style='clear: both;'/>").appendTo(this.parent_div)};q(ac.prototype,{reset_filters:function(){for(var ah=0;ah<this.filters.length;ah++){filter=this.filters[ah];filter.slider.slider("option","values",[filter.min,filter.max])}this.alpha_filter=null},run_on_dataset:function(){var ap=function(au,ar,at){if(!(ar in au)){au[ar]=at}return au[ar]};var aj={},ah,ai,ak;for(var al=0;al<this.filters.length;al++){ah=this.filters[al];if(ah.tool_id){if(ah.min!=ah.low){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" >= "+ah.low}if(ah.max!=ah.high){ai=ap(aj,ah.tool_id,[]);ai[ai.length]=ah.tool_exp_name+" <= "+ah.high}}}var an=[];for(var aq in aj){an[an.length]=[aq,aj[aq]]}var ao=an.length;(function am(ay,av){var at=av[0],au=at[0],ax=at[1],aw="("+ax.join(") and (")+")",ar={cond:aw,input:ay,target_dataset_id:ay,tool_id:au},av=av.slice(1);$.getJSON(run_tool_url,ar,function(az){if(az.error){show_modal("Filter Dataset","Error running tool "+au,{Close:hide_modal})}else{if(av.length===0){show_modal("Filtering Dataset","Filter(s) are running on the complete dataset. Outputs are in dataset's history.",{Close:hide_modal})}else{am(az.dataset_id,av)}}})})(this.track.dataset_id,an)}});var P=function(ai,ah){M.AlphaGenerator.call(this,ah);this.filter=ai};P.prototype.gen_alpha=function(ah){if(this.filter.high===Number.MAX_VALUE||this.filter.low===-Number.MAX_VALUE||this.filter.low===this.filter.high){return this.default_alpha}return((parseFloat(ah[this.filter.index])-this.filter.low)/(this.filter.high-this.filter.low))};var G=function(ah){this.track=ah.track;this.params=ah.params;this.values={};this.restore_values((ah.saved_values?ah.saved_values:{}));this.onchange=ah.onchange};q(G.prototype,{restore_values:function(ah){var ai=this;$.each(this.params,function(aj,ak){if(ah[ak.key]!==undefined){ai.values[ak.key]=ah[ak.key]}else{ai.values[ak.key]=ak.default_value}})},build_form:function(){var ai=this;var ah=$("<div />");$.each(this.params,function(am,ak){if(!ak.hidden){var aj="param_"+am;var ao=ai.values[ak.key];var ar=$("<div class='form-row' />").appendTo(ah);ar.append($("<label />").attr("for",aj).text(ak.label+":"));if(ak.type==="bool"){ar.append($('<input type="checkbox" />').attr("id",aj).attr("name",aj).attr("checked",ao))}else{if(ak.type==="text"){ar.append($('<input type="text"/>').attr("id",aj).val(ao).click(function(){$(this).select()}))}else{if(ak.type==="color"){var an=$("<input />").attr("id",aj).attr("name",aj).val(ao);var ap=$("<div class='tipsy tipsy-north' style='position: absolute;' />").hide();var al=$("<div style='background-color: black; padding: 10px;'></div>").appendTo(ap);var aq=$("<div/>").appendTo(al).farbtastic({width:100,height:100,callback:an,color:ao});$("<div />").append(an).append(ap).appendTo(ar).bind("click",function(at){ap.css({left:$(this).position().left+($(an).width()/2)-60,top:$(this).position().top+$(this.height)}).show();$(document).bind("click.color-picker",function(){ap.hide();$(document).unbind("click.color-picker")});at.stopPropagation()})}else{ar.append($("<input />").attr("id",aj).attr("name",aj).val(ao))}}}}});return ah},update_from_form:function(ah){var aj=this;var ai=false;$.each(this.params,function(ak,am){if(!am.hidden){var an="param_"+ak;var al=ah.find("#"+an).val();if(am.type==="float"){al=parseFloat(al)}else{if(am.type==="int"){al=parseInt(al)}else{if(am.type==="bool"){al=ah.find("#"+an).is(":checked")}}}if(al!==aj.values[am.key]){aj.values[am.key]=al;ai=true}}});if(ai){this.onchange()}}});var b=function(ah,ak,aj,ai,al){this.track=ah;this.index=ak;this.low=ak*S*aj;this.high=(ak+1)*S*aj;this.resolution=aj;this.canvas=$("<div class='track-tile'/>").append(ai);this.data=al;this.stale=false};b.prototype.predisplay_actions=function(){};var l=function(ah,ak,aj,ai,al,am){b.call(this,ah,ak,aj,ai,al);this.max_val=am};q(l.prototype,b.prototype);var Q=function(ah,al,ak,aj,an,ao,am,ai){b.call(this,ah,al,ak,aj,an);this.mode=ao;this.message=am;this.feature_mapper=ai};q(Q.prototype,b.prototype);Q.prototype.predisplay_actions=function(){var ai=this,ah={};if(ai.mode!=="Pack"){return}$(this.canvas).mousemove(function(au){var ao=$(this).offset(),at=au.pageX-ao.left,ar=au.pageY-ao.top,ay=ai.feature_mapper.get_feature_data(at,ar),ap=(ay?ay[0]:null);$(this).siblings(".feature-popup").each(function(){if(!ap||$(this).attr("id")!==ap.toString()){$(this).remove()}});if(ay){var ak=ah[ap];if(!ak){var ap=ay[0],av={name:ay[3],start:ay[1],end:ay[2],strand:ay[4]},an=ai.track.filters_manager.filters,am;for(var aq=0;aq<an.length;aq++){am=an[aq];av[am.name]=ay[am.index]}var ak=$("<div/>").attr("id",ap).addClass("feature-popup"),ax,aw,az=$("<table/>").appendTo(ak),aA;for(ax in av){aw=av[ax];aA=$("<tr/>").appendTo(az);$("<th/>").appendTo(aA).text(ax);$("<td/>").attr("align","left").appendTo(aA).text(typeof(aw)=="number"?ab(aw,2):aw)}ah[ap]=ak}ak.appendTo($(ai.canvas).parent());var al=at+parseInt(ai.canvas.css("left"))+7,aj=ar+parseInt(ai.canvas.css("top"))+7;ak.css("left",al+"px").css("top",aj+"px")}else{if(!au.isPropagationStopped()){au.stopPropagation();$(this).siblings().each(function(){$(this).trigger(au)})}}}).mouseleave(function(){$(this).siblings(".feature-popup").remove()})};var j=function(ak,ai,ah,aj,al,am){r.call(this,ak,ai,ah,{},"draghandle");this.data_url=(al?al:default_data_url);this.data_url_extra_params={};this.data_query_wait=(am?am:L);this.dataset_check_url=converted_datasets_state_url;if(!j.id_counter){j.id_counter=0}this.container_div=$("<div />").addClass("track").attr("id","track_"+j.id_counter++).css("position","relative");if(!this.hidden){this.header_div=$("<div class='track-header' />").appendTo(this.container_div);if(this.view.editor){this.drag_div=$("<div/>").addClass(this.drag_handle_class).appendTo(this.header_div)}this.name_div=$("<div class='menubutton popup' />").appendTo(this.header_div);this.name_div.text(this.name);this.name_div.attr("id",this.name.replace(/\s+/g,"-").replace(/[^a-zA-Z0-9\-]/g,"").toLowerCase())}this.content_div=$("<div class='track-content'>").appendTo(this.container_div);this.container.content_div.append(this.container_div)};q(j.prototype,r.prototype,{get_type:function(){if(this instanceof ad){return"LabelTrack"}else{if(this instanceof B){return"ReferenceTrack"}else{if(this instanceof k){return"LineTrack"}else{if(this instanceof Y){return"ReadTrack"}else{if(this instanceof W){return"ToolDataFeatureTrack"}else{if(this instanceof V){return"VcfTrack"}else{if(this instanceof e){return"FeatureTrack"}}}}}}}return""},init:function(){var ah=this;ah.enabled=false;ah.tile_cache.clear();ah.data_manager.clear();ah.initial_canvas=undefined;ah.content_div.css("height","auto");ah.container_div.removeClass("nodata error pending");if(!ah.dataset_id){return}$.getJSON(converted_datasets_state_url,{hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id,chrom:ah.view.chrom},function(ai){if(!ai||ai==="error"||ai.kind==="error"){ah.container_div.addClass("error");ah.content_div.text(p);if(ai.message){var ak=ah.view.tracks.indexOf(ah);var aj=$(" <a href='javascript:void(0);'></a>").text("View error").click(function(){show_modal("Trackster Error","<pre>"+ai.message+"</pre>",{Close:hide_modal})});ah.content_div.append(aj)}}else{if(ai==="no converter"){ah.container_div.addClass("error");ah.content_div.text(K)}else{if(ai==="no data"||(ai.data!==undefined&&(ai.data===null||ai.data.length===0))){ah.container_div.addClass("nodata");ah.content_div.text(F)}else{if(ai==="pending"){ah.container_div.addClass("pending");ah.content_div.text(u);setTimeout(function(){ah.init()},ah.data_query_wait)}else{if(ai.status==="data"){if(ai.valid_chroms){ah.valid_chroms=ai.valid_chroms;ah.make_name_popup_menu()}ah.content_div.text(aa);if(ah.view.chrom){ah.content_div.text("");ah.content_div.css("height",ah.height_px+"px");ah.enabled=true;$.when(ah.predraw_init()).done(function(){ah.container_div.removeClass("nodata error pending");ah.request_draw()})}}}}}}})},predraw_init:function(){},});var N=function(ao,am){var ai=this,ap=ai.view;n(ai.container_div,ai.drag_handle_class,".group",ai);this.filters_manager=new ac(this,(ao!==undefined?ao:{}));this.filters_available=false;this.filters_visible=false;this.tool=(am!==undefined&&obj_length(am)>0?new s(this,am):undefined);this.is_overview=false;if(ai.hidden){return}if(this.filters_manager){this.filters_div=this.filters_manager.parent_div;this.header_div.after(this.filters_div)}if(this.tool){this.dynamic_tool_div=this.tool.parent_div;this.header_div.after(this.dynamic_tool_div)}if(ai.display_modes!==undefined){if(ai.mode_div===undefined){ai.mode_div=$("<div class='right-float menubutton popup' />").appendTo(ai.header_div);var aj=(ai.config&&ai.config.values.mode?ai.config.values.mode:ai.display_modes[0]);ai.mode=aj;ai.mode_div.text(aj);var ah={};for(var ak=0,an=ai.display_modes.length;ak<an;ak++){var al=ai.display_modes[ak];ah[al]=function(aq){return function(){ai.change_mode(aq)}}(al)}make_popupmenu(ai.mode_div,ah)}else{ai.mode_div.hide()}}this.make_name_popup_menu()};q(N.prototype,r.prototype,j.prototype,{to_json:function(){return{track_type:this.get_type(),name:this.name,hda_ldda:this.hda_ldda,dataset_id:this.dataset_id,prefs:this.prefs,mode:this.mode,}},change_mode:function(ai){var ah=this;ah.mode_div.text(ai);ah.mode=ai;ah.config.values.mode=ai;ah.tile_cache.clear();ah.request_draw();return ah},make_name_popup_menu:function(){var ai=this;var ah={};ah[(this.is_overview?"Hide overview":"Set as overview")]=function(){if(ai.is_overview){ai.view.reset_overview()}else{ai.view.set_overview(ai)}};ah["Edit configuration"]=function(){var am=function(){hide_modal();$(window).unbind("keypress.check_enter_esc")},ak=function(){ai.config.update_from_form($(".dialog-box"));hide_modal();$(window).unbind("keypress.check_enter_esc")},al=function(an){if((an.keyCode||an.which)===27){am()}else{if((an.keyCode||an.which)===13){ak()}}};$(window).bind("keypress.check_enter_esc",al);show_modal("Configure Track",ai.config.build_form(),{Cancel:am,OK:ak})};if(ai.filters_available>0){var aj=(ai.filters_div.is(":visible")?"Hide filters":"Show filters");ah[aj]=function(){ai.filters_visible=(ai.filters_div.is(":visible"));if(ai.filters_visible){ai.filters_manager.reset_filters()}ai.filters_div.toggle();ai.make_name_popup_menu()}}if(ai.tool){var aj=(ai.dynamic_tool_div.is(":visible")?"Hide tool":"Show tool");ah[aj]=function(){if(!ai.dynamic_tool_div.is(":visible")){ai.set_name(ai.name+ai.tool_region_and_parameters_str())}else{menu_option_text="Show dynamic tool";ai.revert_name()}ai.dynamic_tool_div.toggle();ai.make_name_popup_menu()}}ah.Remove=function(){ai.remove()};make_popupmenu(ai.name_div,ah)},set_is_overview:function(ah){this.is_overview=ah;this.make_name_popup_menu()},get_overview_tile:function(){var ah=this;view=ah.view,resolution=Math.pow(D,Math.ceil(Math.log((view.max_high-view.max_low)/S)/Math.log(D))),view_width=view.container.width(),w_scale=view_width/(view.max_high-view.max_low),overview_tile=$.Deferred();$.when(ah.data_manager.get_data(view.max_low,view.max_high,"Auto",resolution,ah.data_url_extra_params)).then(function(ai){var ak=ah._gen_tile_cache_key(view_width,w_scale,0),am=ah.tile_cache.get(ak);if(!am){am=ah.draw_tile(ai,"Auto",resolution,0,w_scale);ah.tile_cache.set(ak,am)}var ap=$(am.canvas.find("canvas")),al=ap.clone(),ao=ap.get(0).getContext("2d"),aj=al.get(0).getContext("2d"),an=ao.getImageData(0,0,ao.canvas.width,ao.canvas.height);aj.putImageData(an,-ah.left_offset,(am.data.dataset_type==="summary_tree"?U:0));new_tile=new b(ah,-1,resolution,al);overview_tile.resolve(new_tile)});return overview_tile},_gen_tile_cache_key:function(ai,aj,ah){return ai+"_"+aj+"_"+ah},request_draw:function(ai,ah){this.view.request_redraw(false,ai,ah,this)},_draw:function(aj,ar){if(!this.enabled){return}if(!(this instanceof B)&&(!this.dataset_id)){return}var aq=this.view.low,an=this.view.high,ao=an-aq,ak=this.view.container.width(),av=ak/ao,am=this.view.resolution,au=$("<div style='position: relative;'></div>");if(!ar){this.content_div.children().remove()}this.content_div.append(au);this.max_height=0;var ai=Math.floor(aq/am/S);var ap=true;var at=[];var ah=0;while((ai*S*am)<an){tile=this.draw_helper(aj,ak,ai,am,au,av);if(tile){at.push(tile)}else{ap=false}ai+=1;ah++}var al=this;if(ap){al.postdraw_actions(at,ak,av,ar)}},postdraw_actions:function(al,am,an,ah){var aj=this;var ak=false;for(var ai=0;ai<al.length;ai++){if(al[ai].message){ak=true;break}}if(ak){for(var ai=0;ai<al.length;ai++){tile=al[ai];if(!tile.message){tile.canvas.css("padding-top",E)}}}},draw_helper:function(ai,aj,ak,an,au,ay,av,ao){var al=this,at=this._gen_tile_cache_key(aj,ay,ak),ap=ak*S*an,ax=ap+S*an;var aq=(ai?undefined:al.tile_cache.get(at));if(aq){al.show_tile(aq,au,ay);return aq}var ar=function(az){return("isResolved" in az)};var am=true;var ah=al.data_manager.get_data(ap,ax,al.mode,an,al.data_url_extra_params);if(ar(ah)){am=false}var aw;if(view.reference_track&&ay>view.canvas_manager.char_width_px){aw=view.reference_track.data_manager.get_data(ap,ax,al.mode,an,view.reference_track.data_url_extra_params);if(ar(aw)){am=false}}if(am){q(ah,ao);var aq=al.draw_tile(ah,al.mode,an,ak,ay,aw);if(aq!==undefined){al.tile_cache.set(at,aq);al.show_tile(aq,au,ay)}return aq}$.when(ah,aw).then(function(){view.request_redraw()});return null},show_tile:function(ao,aq,ar){var aj=this,ai=ao.canvas,an=ai;if(ao.message){var at=$("<div/>"),ap=$("<div/>").addClass("tile-message").text(ao.message).css({height:E-1,width:ao.canvas.width}).appendTo(at),al=$("<a href='javascript:void(0);'/>").addClass("icon more-down").appendTo(ap),ah=$("<a href='javascript:void(0);'/>").addClass("icon more-across").appendTo(ap);at.append(ai);an=at;al.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.DEEP_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()});ah.click(function(){ao.stale=true;aj.data_manager.get_more_data(ao.low,ao.high,aj.mode,ao.resolution,{},aj.data_manager.BROAD_DATA_REQ);aj.request_draw()}).dblclick(function(au){au.stopPropagation()})}ao.predisplay_actions();var am=this.view.high-this.view.low,ak=(ao.low-this.view.low)*ar;if(this.left_offset){ak-=this.left_offset}an.css({position:"absolute",top:0,left:ak,height:""});aq.append(an);aj.max_height=Math.max(aj.max_height,an.height());aj.content_div.css("height",aj.max_height+"px");aq.children().css("height",aj.max_height+"px")},_get_tile_bounds:function(ah,ai){var ak=ah*S*ai,al=S*ai,aj=(ak+al<=this.view.max_high?ak+al:this.view.max_high);return[ak,aj]},tool_region_and_parameters_str:function(aj,ah,ak){var ai=this,al=(aj!==undefined&&ah!==undefined&&ak!==undefined?aj+":"+ah+"-"+ak:"all");return" - region=["+al+"], parameters=["+ai.tool.get_param_values().join(", ")+"]"}});var ad=function(ai,ah){this.hidden=true;j.call(this,"label",ai,ah,{});this.container_div.addClass("label-track")};q(ad.prototype,j.prototype,{init:function(){this.enabled=true},_draw:function(){var aj=this.view,ak=aj.high-aj.low,an=Math.floor(Math.pow(10,Math.floor(Math.log(ak)/Math.log(10)))),ah=Math.floor(aj.low/an)*an,al=this.view.container.width(),ai=$("<div style='position: relative; height: 1.3em;'></div>");while(ah<aj.high){var am=(ah-aj.low)/ak*al;ai.append($("<div class='label'>"+commatize(ah)+"</div>").css({position:"absolute",left:am-1}));ah+=an}this.content_div.children(":first").remove();this.content_div.append(ai)}});var B=function(ah){this.hidden=true;j.call(this,"reference",ah,{content_div:ah.top_labeltrack},{});N.call(this);ah.reference_track=this;this.left_offset=200;this.height_px=12;this.container_div.addClass("reference-track");this.content_div.css("background","none");this.content_div.css("min-height","0px");this.content_div.css("border","none");this.data_url=reference_url;this.data_url_extra_params={dbkey:ah.dbkey};this.data_manager=new I(C,this,false);this.tile_cache=new c(v)};q(B.prototype,r.prototype,N.prototype,{init:function(){this.enabled=true},draw_tile:function(ar,an,am,ai,at){var al=this,aj=S*am;if(at>this.view.canvas_manager.char_width_px){if(ar===null){al.content_div.css("height","0px");return}var ak=this.view.canvas_manager.new_canvas();var aq=ak.getContext("2d");ak.width=Math.ceil(aj*at+al.left_offset);ak.height=al.height_px;aq.font=aq.canvas.manager.default_font;aq.textAlign="center";ar=ar.data;for(var ao=0,ap=ar.length;ao<ap;ao++){var ah=Math.round(ao*at);aq.fillText(ar[ao],ah+al.left_offset,10)}return new b(al,ai,am,ak,ar)}this.content_div.css("height","0px")}});var k=function(am,ak,aj,an,ah,al){var ai=this;this.display_modes=["Histogram","Line","Filled","Intensity"];this.mode="Histogram";j.call(this,am,ak,aj,al);N.call(this);this.min_height_px=16;this.max_height_px=400;this.height_px=80;this.hda_ldda=an;this.dataset_id=ah;this.original_dataset_id=ah;this.data_manager=new T(C,this);this.tile_cache=new c(v);this.left_offset=0;this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:am},{key:"color",label:"Color",type:"color",default_value:"black"},{key:"min_value",label:"Min Value",type:"float",default_value:undefined},{key:"max_value",label:"Max Value",type:"float",default_value:undefined},{key:"mode",type:"string",default_value:this.mode,hidden:true},{key:"height",type:"int",default_value:this.height_px,hidden:true}],saved_values:al,onchange:function(){ai.set_name(ai.prefs.name);ai.vertical_range=ai.prefs.max_value-ai.prefs.min_value;$("#linetrack_"+ai.track_id+"_minval").text(ai.prefs.min_value);$("#linetrack_"+ai.track_id+"_maxval").text(ai.prefs.max_value);ai.tile_cache.clear();ai.request_draw()}});this.prefs=this.config.values;this.height_px=this.config.values.height;this.vertical_range=this.config.values.max_value-this.config.values.min_value;this.add_resize_handle()};q(k.prototype,r.prototype,N.prototype,{add_resize_handle:function(){var ah=this;var ak=false;var aj=false;var ai=$("<div class='track-resize'>");$(ah.container_div).hover(function(){ak=true;ai.show()},function(){ak=false;if(!aj){ai.hide()}});ai.hide().bind("dragstart",function(al,am){aj=true;am.original_height=$(ah.content_div).height()}).bind("drag",function(am,an){var al=Math.min(Math.max(an.original_height+an.deltaY,ah.min_height_px),ah.max_height_px);$(ah.content_div).css("height",al);ah.height_px=al;ah.request_draw(true)}).bind("dragend",function(al,am){ah.tile_cache.clear();aj=false;if(!ak){ai.hide()}ah.config.values.height=ah.height_px}).appendTo(ah.container_div)},predraw_init:function(){var ah=this,ai=ah.view.tracks.indexOf(ah);ah.vertical_range=undefined;return $.getJSON(ah.data_url,{stats:true,chrom:ah.view.chrom,low:null,high:null,hda_ldda:ah.hda_ldda,dataset_id:ah.dataset_id},function(aj){ah.container_div.addClass("line-track");var al=aj.data;if(isNaN(parseFloat(ah.prefs.min_value))||isNaN(parseFloat(ah.prefs.max_value))){ah.prefs.min_value=al.min;ah.prefs.max_value=al.max;$("#track_"+ai+"_minval").val(ah.prefs.min_value);$("#track_"+ai+"_maxval").val(ah.prefs.max_value)}ah.vertical_range=ah.prefs.max_value-ah.prefs.min_value;ah.total_frequency=al.total_frequency;ah.container_div.find(".yaxislabel").remove();var am=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_minval").text(ab(ah.prefs.min_value,3));var ak=$("<div />").addClass("yaxislabel").attr("id","linetrack_"+ai+"_maxval").text(ab(ah.prefs.max_value,3));ak.css({position:"absolute",top:"24px",left:"10px"});ak.prependTo(ah.container_div);am.css({position:"absolute",bottom:"2px",left:"10px"});am.prependTo(ah.container_div)})},draw_tile:function(au,am,al,aj,at){if(this.vertical_range===undefined){return}var ah=this._get_tile_bounds(aj,al),an=ah[0],ar=ah[1],ai=Math.ceil((ar-an)*at),ap=this.height_px;var ak=this.view.canvas_manager.new_canvas();ak.width=ai,ak.height=ap;var aq=ak.getContext("2d");var ao=new M.LinePainter(au.data,an,ar,this.prefs,am);ao.draw(aq,ai,ap);return new b(this.track,aj,al,ak,au.data)}});var e=function(ah,an,ai,am,ap,ao,ak,al){var aj=this;this.display_modes=["Auto","Histogram","Dense","Squish","Pack"];j.call(this,ah,an,ai,ao);N.call(this,ak,al);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:ah},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ao,onchange:function(){aj.set_name(aj.prefs.name);aj.tile_cache.clear();aj.request_draw()}});this.prefs=this.config.values;this.height_px=0;this.container_div.addClass("feature-track");this.hda_ldda=am;this.dataset_id=ap;this.original_dataset_id=ap;this.show_labels_scale=0.001;this.showing_details=false;this.summary_draw_height=30;this.inc_slots={};this.start_end_dct={};this.tile_cache=new c(d);this.data_manager=new T(20,this);this.left_offset=200;this.painter=M.LinkedFeaturePainter};q(e.prototype,r.prototype,N.prototype,{postdraw_actions:function(ax,ah,ay,aw){N.prototype.postdraw_actions.call(this,ax,aw);var ak=this;if(aw){var am=ak.content_div.children();var an=false;for(var al=am.length-1,ar=0;al>=ar;al--){var aj=$(am[al]);if(an){aj.remove()}else{if(aj.children().length!==0){an=true}}}}if(ak.mode=="Histogram"){var aq=-1;for(var al=0;al<ax.length;al++){var av=ax[al].max_val;if(av>aq){aq=av}}for(var al=0;al<ax.length;al++){var au=ax[al];if(au.max_val!==aq){au.canvas.remove();ak.draw_helper(true,ah,au.index,au.resolution,au.canvas.parent(),ay,[],{max:aq})}}}if(ak.filters_manager){var ai=ak.filters_manager.filters;for(var ap=0;ap<ai.length;ap++){ai[ap].update_ui_elt()}var ao=false,at;for(var al=0;al<ax.length;al++){if(ax[al].data.length){at=ax[al].data[0];for(var ap=0;ap<ai.length;ap++){if(ai[ap].applies_to(at)){ao=true;break}}}}if(ak.filters_available!==ao){ak.filters_available=ao;if(!ak.filters_available){ak.filters_div.hide()}ak.make_name_popup_menu()}}},update_auto_mode:function(ah){if(this.mode=="Auto"){if(ah=="no_detail"){ah="feature spans"}else{if(ah=="summary_tree"){ah="coverage histogram"}}this.mode_div.text("Auto ("+ah+")")}},incremental_slots:function(al,ai,ak){var aj=this.view.canvas_manager.dummy_context,ah=this.inc_slots[al];if(!ah||(ah.mode!==ak)){ah=new (t.FeatureSlotter)(al,ak==="Pack",A,function(am){return aj.measureText(am)});ah.mode=ak;this.inc_slots[al]=ah}return ah.slot_features(ai)},get_summary_tree_data:function(al,ao,aj,ax){if(ax>aj-ao){ax=aj-ao}var at=Math.floor((aj-ao)/ax),aw=[],ak=0;var am=0,an=0,ar,av=0,ap=[],au,aq;var ai=function(aA,az,aB,ay){aA[0]=az+aB*ay;aA[1]=az+(aB+1)*ay};while(av<ax&&am!==al.length){var ah=false;for(;av<ax&&!ah;av++){ai(ap,ao,av,at);for(an=am;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){ah=true;break}}if(ah){break}}data_start_index=an;aw[aw.length]=au=[ap[0],0];for(;an<al.length;an++){ar=al[an].slice(1,3);if(is_overlap(ar,ap)){au[1]++}else{break}}if(au[1]>ak){ak=au[1]}av++}return{max:ak,delta:at,data:aw}},draw_tile:function(aw,az,aE,aI,ar,ak){var aB=this,am=aB._get_tile_bounds(aI,aE),aL=am[0],ai=am[1],ay=ai-aL,aC=Math.ceil(ay*ar),aP=25,al=this.left_offset,ax,an;if(az==="Auto"){if(aw.dataset_type==="summary_tree"){az=aw.dataset_type}else{if(aw.extra_info==="no_detail"){az="no_detail"}else{var aO=aw.data;if(this.view.high-this.view.low>J){az="Squish"}else{az="Pack"}}}this.update_auto_mode(az)}if(az==="summary_tree"||az==="Histogram"){an=this.summary_draw_height;this.container_div.find(".yaxislabel").remove();var ah=$("<div />").addClass("yaxislabel");ah.text(aw.max);ah.css({position:"absolute",top:"24px",left:"10px",color:this.prefs.label_color});ah.prependTo(this.container_div);var aj=this.view.canvas_manager.new_canvas();aj.width=aC+al;aj.height=an+U;if(aw.dataset_type!="summary_tree"){var at=this.get_summary_tree_data(aw.data,aL,ai,200);if(aw.max){at.max=aw.max}aw=at}var aM=new M.SummaryTreePainter(aw,aL,ai,this.prefs);var aD=aj.getContext("2d");aD.translate(al,U);aM.draw(aD,aC,an);return new l(aB,aI,aE,aj,aw.data,aw.max)}var ax,ap=1;if(az==="no_detail"||az==="Squish"||az==="Pack"){ap=this.incremental_slots(ar,aw.data,az);ax=this.inc_slots[ar].slots}var aq=[];if(aw.data){var au=this.filters_manager.filters;for(var aF=0,aH=aw.data.length;aF<aH;aF++){var ao=aw.data[aF];var aG=false;var av;for(var aK=0,aN=au.length;aK<aN;aK++){av=au[aK];av.update_attrs(ao);if(!av.keep(ao)){aG=true;break}}if(!aG){aq.push(ao)}}}var aA=(this.filters_manager.alpha_filter?new P(this.filters_manager.alpha_filter):null);var aM=new (this.painter)(aq,aL,ai,this.prefs,az,aA,ak);var an=Math.max(af,aM.get_required_height(ap));var aj=this.view.canvas_manager.new_canvas();var aJ=null;aj.width=aC+al;aj.height=an;var aD=aj.getContext("2d");aD.fillStyle=this.prefs.block_color;aD.font=aD.canvas.manager.default_font;aD.textAlign="right";this.container_div.find(".yaxislabel").remove();if(aw.data){aD.translate(al,0);aJ=aM.draw(aD,aC,an,ax);aJ.translation=-al}return new Q(aB,aI,aE,aj,aw.data,az,aw.message,aJ)}});var V=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.painter=M.VariantPainter};q(V.prototype,r.prototype,N.prototype,e.prototype);var Y=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am);this.config=new G({track:this,params:[{key:"name",label:"Name",type:"text",default_value:al},{key:"block_color",label:"Block color",type:"color",default_value:"#444"},{key:"label_color",label:"Label color",type:"color",default_value:"black"},{key:"show_insertions",label:"Show insertions",type:"bool",default_value:false},{key:"show_differences",label:"Show differences only",type:"bool",default_value:true},{key:"show_counts",label:"Show summary counts",type:"bool",default_value:true},{key:"mode",type:"string",default_value:this.mode,hidden:true},],saved_values:ak,onchange:function(){this.track.set_name(this.track.prefs.name);this.track.tile_cache.clear();this.track.request_draw()}});this.prefs=this.config.values;this.painter=M.ReadPainter;this.make_name_popup_menu()};q(Y.prototype,r.prototype,N.prototype,e.prototype);var W=function(al,aj,ai,an,ah,ak,am){e.call(this,al,aj,ai,an,ah,ak,am,{});this.data_url=raw_data_url;this.data_query_wait=1000;this.dataset_check_url=dataset_state_url};q(W.prototype,r.prototype,N.prototype,e.prototype,{predraw_init:function(){var ai=this;var ah=function(){if(ai.data_manager.size()===0){setTimeout(ah,300)}else{ai.data_url=default_data_url;ai.data_query_wait=L;ai.dataset_state_url=converted_datasets_state_url;$.getJSON(ai.dataset_state_url,{dataset_id:ai.dataset_id,hda_ldda:ai.hda_ldda},function(aj){})}};ah()}});Z.View=ae;Z.DrawableGroup=R;Z.LineTrack=k;Z.FeatureTrack=e;Z.ReadTrack=Y};var slotting_module=function(c,b){var e=c("class").extend;var d=2,a=5;b.FeatureSlotter=function(j,h,f,g){this.slots={};this.start_end_dct={};this.w_scale=j;this.include_label=h;this.max_rows=f;this.measureText=g};e(b.FeatureSlotter.prototype,{slot_features:function(m){var p=this.w_scale,s=this.slots,h=this.start_end_dct,y=[],A=[],n=0,z=this.max_rows;for(var w=0,x=m.length;w<x;w++){var l=m[w],o=l[0];if(s[o]!==undefined){n=Math.max(n,s[o]);A.push(s[o])}else{y.push(w)}}var q=function(G,H){for(var F=0;F<=z;F++){var D=false,I=h[F];if(I!==undefined){for(var C=0,E=I.length;C<E;C++){var B=I[C];if(H>B[0]&&G<B[1]){D=true;break}}}if(!D){return F}}return -1};for(var w=0,x=y.length;w<x;w++){var l=m[y[w]],o=l[0],u=l[1],f=l[2],r=l[3],g=Math.floor(u*p),k=Math.ceil(f*p),v=this.measureText(r).width,j;if(r!==undefined&&this.include_label){v+=(d+a);if(g-v>=0){g-=v;j="left"}else{k+=v;j="right"}}var t=q(g,k);if(t>=0){if(h[t]===undefined){h[t]=[]}h[t].push([g,k]);s[o]=t;n=Math.max(n,t)}else{}}return n+1}})};var painters_module=function(k,y){var v=k("class").extend;var q=function(J,B,H,A,G,E){if(E===undefined){E=4}var D=A-B;var C=G-H;var F=Math.floor(Math.sqrt(D*D+C*C)/E);var K=D/F;var I=C/F;var z;for(z=0;z<F;z++,B+=K,H+=I){if(z%2!==0){continue}J.fillRect(B,H,E,1)}};var r=function(B,A,z,E){var D=A-E/2,C=A+E/2,F=z-Math.sqrt(E*3/2);B.beginPath();B.moveTo(D,F);B.lineTo(C,F);B.lineTo(A,z);B.lineTo(D,F);B.strokeStyle=this.fillStyle;B.fill();B.stroke();B.closePath()};var g=function(z){this.default_alpha=(z?z:1)};g.prototype.gen_alpha=function(z){return this.default_alpha};var n=function(B,D,z,A,C){this.data=B;this.view_start=D;this.view_end=z;this.prefs=v({},this.default_prefs,A);this.mode=C};n.prototype.default_prefs={};var w=function(B,D,z,A,C){n.call(this,B,D,z,A,C)};w.prototype.default_prefs={show_counts:false};w.prototype.draw=function(M,z,L){var E=this.view_start,O=this.view_end-this.view_start,N=z/O;var J=this.data.data,I=this.data.delta,G=this.data.max,B=L;delta_x_px=Math.ceil(I*N);M.save();for(var C=0,D=J.length;C<D;C++){var H=Math.floor((J[C][0]-E)*N);var F=J[C][1];if(!F){continue}var K=F/G*L;if(F!==0&&K<1){K=1}M.fillStyle=this.prefs.block_color;M.fillRect(H,B-K,delta_x_px,K);var A=4;if(this.prefs.show_counts&&(M.measureText(F).width+A)<delta_x_px){M.fillStyle=this.prefs.label_color;M.textAlign="center";M.fillText(F,H+(delta_x_px/2),10)}}M.restore()};var c=function(z,D,F,G,B){n.call(this,z,D,F,G,B);if(this.prefs.min_value===undefined){var H=Infinity;for(var A=0,C=this.data.length;A<C;A++){H=Math.min(H,this.data[A][1])}this.prefs.min_value=H}if(this.prefs.max_value===undefined){var E=-Infinity;for(var A=0,C=this.data.length;A<C;A++){E=Math.max(E,this.data[A][1])}this.prefs.max_value=E}};c.prototype.default_prefs={min_value:undefined,max_value:undefined,mode:"Histogram",color:"#000",overflow_color:"#F66"};c.prototype.draw=function(N,M,K){var F=false,H=this.prefs.min_value,D=this.prefs.max_value,J=D-H,z=K,A=this.view_start,L=this.view_end-this.view_start,B=M/L,I=this.mode,T=this.data;N.save();var U=Math.round(K+H/J*K);if(I!=="Intensity"){N.fillStyle="#aaa";N.fillRect(0,U,M,1)}N.beginPath();var R,E,C;if(T.length>1){C=Math.ceil((T[1][0]-T[0][0])*B)}else{C=10}for(var O=0,P=T.length;O<P;O++){N.fillStyle=this.prefs.color;R=Math.round((T[O][0]-A)*B);E=T[O][1];var Q=false,G=false;if(E===null){if(F&&I==="Filled"){N.lineTo(R,z)}F=false;continue}if(E<H){G=true;E=H}else{if(E>D){Q=true;E=D}}if(I==="Histogram"){E=Math.round(E/J*z);N.fillRect(R,U,C,-E)}else{if(I==="Intensity"){E=255-Math.floor((E-H)/J*255);N.fillStyle="rgb("+E+","+E+","+E+")";N.fillRect(R,0,C,z)}else{E=Math.round(z-(E-H)/J*z);if(F){N.lineTo(R,E)}else{F=true;if(I==="Filled"){N.moveTo(R,z);N.lineTo(R,E)}else{N.moveTo(R,E)}}}}N.fillStyle=this.prefs.overflow_color;if(Q||G){var S;if(I==="Histogram"||I==="Intensity"){S=C}else{R-=2;S=4}if(Q){N.fillRect(R,0,S,3)}if(G){N.fillRect(R,z-3,S,3)}}N.fillStyle=this.prefs.color}if(I==="Filled"){if(F){N.lineTo(R,U);N.lineTo(0,U)}N.fill()}else{N.stroke()}N.restore()};var o=function(z){this.feature_positions={};this.slot_height=z;this.translation=0};o.prototype.map_feature_data=function(A,C,z,B){if(!this.feature_positions[C]){this.feature_positions[C]=[]}this.feature_positions[C].push({data:A,x_start:z,x_end:B})};o.prototype.get_feature_data=function(z,D){var C=Math.floor(D/this.slot_height),B;if(!this.feature_positions[C]){return null}z+=this.translation;for(var A=0;A<this.feature_positions[C].length;A++){B=this.feature_positions[C][A];if(z>=B.x_start&&z<=B.x_end){return B.data}}};var p=function(C,E,z,B,D,A){n.call(this,C,E,z,B,D);this.alpha_generator=(A?A:new g())};p.prototype.default_prefs={block_color:"#FFF",connector_color:"#FFF"};v(p.prototype,{get_required_height:function(A){var z=y_scale=this.get_row_height(),B=this.mode;if(B==="no_detail"||B==="Squish"||B==="Pack"){z=A*y_scale}return z+Math.max(Math.round(y_scale/2),5)},draw:function(L,J,H,G){var R=this.data,E=this.view_start,N=this.view_end;L.save();L.fillStyle=this.prefs.block_color;L.textAlign="right";var I=this.view_end-this.view_start,F=J/I,M=this.get_row_height(),Q=new o(M),C;for(var O=0,P=R.length;O<P;O++){var B=R[O],D=B[0],K=B[1],z=B[2],A=(G&&G[D]!==undefined?G[D]:null);if((K<N&&z>E)&&(this.mode=="Dense"||A!==null)){C=this.draw_element(L,this.mode,B,A,E,N,F,M,J);Q.map_feature_data(B,A,C[0],C[1])}}L.restore();return Q},draw_element:function(F,B,H,D,C,E,G,A,z){console.log("WARNING: Unimplemented function.");return[0,0]}});var d=10,j=3,m=5,x=10,f=1,t=3,e=3,a=9,l=2,h="#ccc";var s=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(s.prototype,p.prototype,{get_row_height:function(){var A=this.mode,z;if(A==="Dense"){z=d}else{if(A==="no_detail"){z=j}else{if(A==="Squish"){z=m}else{z=x}}}return z},draw_element:function(L,E,T,G,N,ae,ai,ak,z){var Q=T[0],ag=T[1],Y=T[2],O=T[3],Z=Math.floor(Math.max(0,(ag-N)*ai)),M=Math.ceil(Math.min(z,Math.max(0,(Y-N)*ai))),X=Z,aj=M,W=(E==="Dense"?0:(0+G))*ak,K,ac,P=null,al=null,C=this.prefs.block_color,ab=this.prefs.label_color;L.globalAlpha=this.alpha_generator.gen_alpha(T);if(E=="Dense"){G=1}if(E==="no_detail"){L.fillStyle=C;L.fillRect(Z,W+5,M-Z,f)}else{var J=T[4],V=T[5],aa=T[6],D=T[7];if(V&&aa){P=Math.floor(Math.max(0,(V-N)*ai));al=Math.ceil(Math.min(z,Math.max(0,(aa-N)*ai)))}var ah,R;if(E==="Squish"||E==="Dense"){ah=1;R=e}else{ah=5;R=a}if(!D){if(T.strand){if(T.strand==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(T.strand==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}}else{L.fillStyle=C}L.fillRect(Z,W,M-Z,R)}else{var I,S;if(E==="Squish"||E==="Dense"){L.fillStyle=h;I=W+Math.floor(e/2)+1;S=1}else{if(J){var I=W;var S=R;if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand")}}}else{L.fillStyle=h;I+=(e/2)+1;S=1}}L.fillRect(Z,I,M-Z,S);for(var af=0,B=D.length;af<B;af++){var F=D[af],A=Math.floor(Math.max(0,(F[0]-N)*ai)),U=Math.ceil(Math.min(z,Math.max((F[1]-N)*ai)));if(A>U){continue}L.fillStyle=C;L.fillRect(A,W+(R-ah)/2+1,U-A,ah);if(P!==undefined&&aa>V&&!(A>al||U<P)){var ad=Math.max(A,P),H=Math.min(U,al);L.fillRect(ad,W+1,H-ad,R);if(D.length==1&&E=="Pack"){if(J==="+"){L.fillStyle=L.canvas.manager.get_pattern("right_strand_inv")}else{if(J==="-"){L.fillStyle=L.canvas.manager.get_pattern("left_strand_inv")}}if(ad+14<H){ad+=2;H-=2}L.fillRect(ad,W+1,H-ad,R)}}}}if(E==="Pack"&&ag>N){L.fillStyle=ab;if(N===0&&Z-L.measureText(O).width<0){L.textAlign="left";L.fillText(O,M+l,W+8);aj+=L.measureText(O).width+l}else{L.textAlign="right";L.fillText(O,Z-l,W+8);X-=L.measureText(O).width+l}}}L.globalAlpha=1;return[X,aj]}});var b=function(C,E,z,B,D,A){p.call(this,C,E,z,B,D,A)};v(b.prototype,p.prototype,{draw_element:function(S,N,H,D,V,B,K,T,Q){var H=data[i],J=H[0],R=H[1],C=H[2],M=H[3],F=Math.floor(Math.max(0,(R-V)*K)),I=Math.ceil(Math.min(Q,Math.max(0,(C-V)*K))),E=(N==="Dense"?0:(0+D))*T,z,W,A=null,L=null;if(no_label){S.fillStyle=block_color;S.fillRect(F+left_offset,E+5,I-F,1)}else{var U=H[4],P=H[5],G=H[6];z=9;W=1;S.fillRect(F+left_offset,E,I-F,z);if(N!=="Dense"&&M!==undefined&&R>V){S.fillStyle=label_color;if(V===0&&F-S.measureText(M).width<0){S.textAlign="left";S.fillText(M,I+2+left_offset,E+8)}else{S.textAlign="right";S.fillText(M,F-2+left_offset,E+8)}S.fillStyle=block_color}var O=U+" / "+P;if(R>V&&S.measureText(O).width<(I-F)){S.fillStyle="white";S.textAlign="center";S.fillText(O,left_offset+F+(I-F)/2,E+8);S.fillStyle=block_color}}return[F,I]}});var u=function(D,F,z,C,E,A,B){p.call(this,D,F,z,C,E,A);this.ref_seq=B};u.prototype.default_prefs=v({},p.prototype.default_prefs,{show_insertions:false});v(u.prototype,p.prototype,{get_row_height:function(){var z,A=this.mode;if(A==="Dense"){z=d}else{if(A==="Squish"){z=m}else{z=x;if(this.prefs.show_insertions){z*=2}}}return z},draw_read:function(V,Q,M,aa,B,U,J,G,F){V.textAlign="center";var T=this,A=[aa,B],P=0,W=0,S=0;ref_seq=this.ref_seq,char_width_px=V.canvas.manager.char_width_px;var af=[];if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){S=Math.round(M/2)}if(!J){J=[[0,G.length]]}for(var N=0,Y=J.length;N<Y;N++){var K=J[N],C="MIDNSHP=X"[K[0]],O=K[1];if(C==="H"||C==="S"){P-=O}var H=U+P,ae=Math.floor(Math.max(0,(H-aa)*M)),I=Math.floor(Math.max(0,(H+O-aa)*M));if(ae===I){I+=1}switch(C){case"H":break;case"S":case"M":case"=":if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(S>0){V.fillStyle=this.prefs.block_color;V.fillRect(ae-S,F+1,I-ae,9);V.fillStyle=h;for(var ac=0,z=R.length;ac<z;ac++){if(this.prefs.show_differences&&ref_seq){var L=ref_seq[H-aa+ac];if(!L||L.toLowerCase()===R[ac].toLowerCase()){continue}}if(H+ac>=aa&&H+ac<=B){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad,F+9)}}}else{V.fillStyle=this.prefs.block_color;V.fillRect(ae,F+4,I-ae,e)}}W+=O;P+=O;break;case"N":V.fillStyle=h;V.fillRect(ae-S,F+5,I-ae,1);P+=O;break;case"D":V.fillStyle="red";V.fillRect(ae-S,F+4,I-ae,3);P+=O;break;case"P":break;case"I":var Z=ae-S;if(is_overlap([H,H+O],A)){var R=G.slice(W,W+O);if(this.prefs.show_insertions){var E=ae-(I-ae)/2;if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){V.fillStyle="yellow";V.fillRect(E-S,F-9,I-ae,9);af[af.length]={type:"triangle",data:[Z,F+4,5]};V.fillStyle=h;switch(seq_tile_overlap){case (OVERLAP_START):R=R.slice(aa-H);break;case (OVERLAP_END):R=R.slice(0,H-B);break;case (CONTAINED_BY):break;case (CONTAINS):R=R.slice(aa-H,H-B);break}for(var ac=0,z=R.length;ac<z;ac++){var ad=Math.floor(Math.max(0,(H+ac-aa)*M));V.fillText(R[ac],ad-(I-ae)/2,F)}}else{V.fillStyle="yellow";V.fillRect(E,F+(this.mode!=="Dense"?2:5),I-ae,(Q!=="Dense"?e:t))}}else{if((Q==="Pack"||this.mode==="Auto")&&G!==undefined&&M>char_width_px){af[af.length]={type:"text",data:[R.length,Z,F+9]}}else{}}}W+=O;break;case"X":W+=O;break}}V.fillStyle="yellow";var ab,D,ag;for(var X=0;X<af.length;X++){ab=af[X];D=ab.type;ag=ab.data;if(D==="text"){V.save();V.font="bold "+V.font;V.fillText(ag[0],ag[1],ag[2]);V.restore()}else{if(D=="triangle"){r(V,ag[0],ag[1],ag[2])}}}},draw_element:function(S,N,F,C,V,A,J,T,Q){var I=F[0],R=F[1],B=F[2],K=F[3],E=Math.floor(Math.max(0,(R-V)*J)),G=Math.ceil(Math.min(Q,Math.max(0,(B-V)*J))),D=(N==="Dense"?0:(0+C))*T,W=this.prefs.block_color,H=this.prefs.label_color,P=0;if((N==="Pack"||this.mode==="Auto")&&J>S.canvas.manager.char_width_px){var P=Math.round(J/2)}S.fillStyle=W;if(F[5] instanceof Array){var O=Math.floor(Math.max(0,(F[4][0]-V)*J)),M=Math.ceil(Math.min(Q,Math.max(0,(F[4][1]-V)*J))),L=Math.floor(Math.max(0,(F[5][0]-V)*J)),z=Math.ceil(Math.min(Q,Math.max(0,(F[5][1]-V)*J)));if(F[4][1]>=V&&F[4][0]<=A&&F[4][2]){this.draw_read(S,N,J,V,A,F[4][0],F[4][2],F[4][3],D)}if(F[5][1]>=V&&F[5][0]<=A&&F[5][2]){this.draw_read(S,N,J,V,A,F[5][0],F[5][2],F[5][3],D)}if(L>M){S.fillStyle=h;q(S,M-P,D+5,L-P,D+5)}}else{S.fillStyle=W;this.draw_read(S,N,J,V,A,R,F[4],F[5],D)}if(N==="Pack"&&R>V){S.fillStyle=this.prefs.label_color;var U=1;if(U===0&&E-S.measureText(K).width<0){S.textAlign="left";S.fillText(K,G+l-P,D+8)}else{S.textAlign="right";S.fillText(K,E-l-P,D+8)}S.fillStyle=W}return[0,0]}});y.AlphaGenerator=g;y.SummaryTreePainter=w;y.LinePainter=c;y.LinkedFeaturePainter=s;y.ReadPainter=u;y.VariantPainter=b};(function(d){var c={};var b=function(e){return c[e]};var a=function(f,g){var e={};g(b,e);c[f]=e};a("class",class_module);a("slotting",slotting_module);a("painters",painters_module);a("trackster",trackster_module);for(key in c.trackster){d[key]=c.trackster[key]}})(window);
\ No newline at end of file
--- a/static/scripts/trackster.js Tue Oct 11 10:09:32 2011 -0400
+++ b/static/scripts/trackster.js Tue Oct 11 14:05:08 2011 -0400
@@ -309,10 +309,19 @@
CACHED_TILES_FEATURE = 10,
CACHED_TILES_LINE = 5,
CACHED_DATA = 5;
-
-function round_1000(num) {
- return Math.round(num * 1000) / 1000;
-};
+
+/**
+ * Round a number to a given number of decimal places.
+ */
+function round(num, places) {
+ // Default rounding is to integer.
+ if (!places) {
+ places = 0;
+ }
+
+ var val = Math.pow(10, places);
+ return Math.round(num * val) / val;
+}
/**
* Generic cache that handles key/value pairs.
@@ -2085,7 +2094,8 @@
/**
* Tiles drawn by tracks.
*/
-var Tile = function(index, resolution, canvas, data) {
+var Tile = function(track, index, resolution, canvas, data) {
+ this.track = track;
this.index = index;
this.low = index * DENSITY * resolution;
this.high = (index + 1) * DENSITY * resolution;
@@ -2096,26 +2106,114 @@
this.stale = false;
};
-var SummaryTreeTile = function(index, resolution, canvas, data, max_val) {
- Tile.call(this, index, resolution, canvas, data);
+/**
+ * Perform pre-display actions.
+ */
+Tile.prototype.predisplay_actions = function() {};
+
+var SummaryTreeTile = function(track, index, resolution, canvas, data, max_val) {
+ Tile.call(this, track, index, resolution, canvas, data);
this.max_val = max_val;
};
+extend(SummaryTreeTile.prototype, Tile.prototype);
-var FeatureTrackTile = function(index, resolution, canvas, data, message, feature_mapper) {
- Tile.call(this, index, resolution, canvas, data);
+var FeatureTrackTile = function(track, index, resolution, canvas, data, mode, message, feature_mapper) {
+ Tile.call(this, track, index, resolution, canvas, data);
+ this.mode = mode;
this.message = message;
this.feature_mapper = feature_mapper;
+};
+extend(FeatureTrackTile.prototype, Tile.prototype);
+
+/**
+ * Sets up support for popups.
+ */
+FeatureTrackTile.prototype.predisplay_actions = function() {
+ //
+ // Add support for popups.
+ //
+ var tile = this,
+ popups = {};
+
+ // Only show popups in Pack mode.
+ if (tile.mode !== "Pack") { return; }
- //
- // Set up display of feature data on mouseover.
- //
- var tile = this;
$(this.canvas).mousemove(function (e) {
- var feature_data = tile.feature_mapper.get_feature_data(e.offsetX, e.offsetY);
-
- // TODO: show popup with feature's information.
+ // Get feature data for position.
+ var
+ this_offset = $(this).offset(),
+ offsetX = e.pageX - this_offset.left,
+ offsetY = e.pageY - this_offset.top,
+ feature_data = tile.feature_mapper.get_feature_data(offsetX, offsetY),
+ feature_uid = (feature_data ? feature_data[0] : null);
+ // Hide visible popup if not over a feature or over a different feature.
+ $(this).siblings(".feature-popup").each(function() {
+ if ( !feature_uid ||
+ $(this).attr("id") !== feature_uid.toString() ) {
+ $(this).remove();
+ }
+ });
+
+ if (feature_data) {
+ // Get or create popup.
+ var popup = popups[feature_uid];
+ if (!popup) {
+ // Create feature's popup element.
+ var
+ feature_uid = feature_data[0],
+ feature_dict = {
+ name: feature_data[3],
+ start: feature_data[1],
+ end: feature_data[2],
+ strand: feature_data[4]
+ },
+ filters = tile.track.filters_manager.filters,
+ filter;
+
+ // Add filter values to feature dict.
+ for (var i = 0; i < filters.length; i++) {
+ filter = filters[i];
+ feature_dict[filter.name] = feature_data[filter.index];
+ }
+
+ // Build popup.
+
+ var popup = $("<div/>").attr("id", feature_uid).addClass("feature-popup"),
+ key, value,
+ table = $("<table/>").appendTo(popup), row;
+ for (key in feature_dict) {
+ value = feature_dict[key];
+ row = $("<tr/>").appendTo(table);
+ $("<th/>").appendTo(row).text(key);
+ $("<td/>").attr("align", "left").appendTo(row)
+ .text(typeof(value) == 'number' ? round(value, 2) : value);
+ }
+ popups[feature_uid] = popup;
+ }
+
+ // Attach popup to canvas's parent.
+ popup.appendTo($(tile.canvas).parent());
+
+ // Offsets are within canvas, but popup must be positioned relative to parent element.
+ // parseInt strips "px" from left, top measurements. +7 so that mouse pointer does not
+ // overlap popup.
+ var
+ popupX = offsetX + parseInt( tile.canvas.css("left") ) + 7,
+ popupY = offsetY + parseInt( tile.canvas.css("top") ) + 7;
+ popup.css("left", popupX + "px").css("top", popupY + "px")
+ }
+ else if (!e.isPropagationStopped()) {
+ // Propogate event to other tiles because overlapping tiles prevent mousemove from being
+ // called on tiles under this tile.
+ e.stopPropagation();
+ $(this).siblings().each(function() {
+ $(this).trigger(e);
+ });
+ }
+ })
+ .mouseleave(function() {
+ $(this).siblings(".feature-popup").remove();
});
-
};
/**
@@ -2492,7 +2590,7 @@
data = src_ctx.getImageData(0, 0, src_ctx.canvas.width, src_ctx.canvas.height);
// Need to undo offsets when placing image data.
tgt_ctx.putImageData(data, -track.left_offset, (tile.data.dataset_type === "summary_tree" ? SUMMARY_TREE_TOP_PADDING : 0));
- new_tile = new Tile(-1, resolution, new_canvas);
+ new_tile = new Tile(track, -1, resolution, new_canvas);
overview_tile.resolve(new_tile);
});
@@ -2697,6 +2795,8 @@
//
// Show tile element.
//
+
+ tile.predisplay_actions();
// Position tile element, recalculate left position at display time
var range = this.view.high - this.view.low,
@@ -2812,7 +2912,7 @@
var c_start = Math.round(c * w_scale);
ctx.fillText(seq[c], c_start + track.left_offset, 10);
}
- return new Tile(tile_index, resolution, canvas, seq);
+ return new Tile(track, tile_index, resolution, canvas, seq);
}
this.content_div.css("height", "0px");
}
@@ -2920,8 +3020,8 @@
// Draw y-axis labels if necessary
track.container_div.find(".yaxislabel").remove();
- var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_minval').text(round_1000(track.prefs.min_value));
- var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_maxval').text(round_1000(track.prefs.max_value));
+ var min_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_minval').text(round(track.prefs.min_value, 3));
+ var max_label = $("<div />").addClass('yaxislabel').attr("id", 'linetrack_' + track_id + '_maxval').text(round(track.prefs.max_value, 3));
max_label.css({ position: "absolute", top: "24px", left: "10px" });
max_label.prependTo(track.container_div);
@@ -2955,7 +3055,7 @@
var painter = new painters.LinePainter(result.data, tile_low, tile_high, this.prefs, mode);
painter.draw(ctx, width, height);
- return new Tile(tile_index, resolution, canvas, result.data);
+ return new Tile(this.track, tile_index, resolution, canvas, result.data);
}
});
@@ -3288,7 +3388,7 @@
// Deal with left_offset by translating.
ctx.translate(left_offset, SUMMARY_TREE_TOP_PADDING);
painter.draw(ctx, width, required_height);
- return new SummaryTreeTile(tile_index, resolution, canvas, result.data, result.max);
+ return new SummaryTreeTile(track, tile_index, resolution, canvas, result.data, result.max);
}
// Start dealing with row-by-row tracks
@@ -3347,7 +3447,7 @@
feature_mapper.translation = -left_offset;
}
- return new FeatureTrackTile(tile_index, resolution, canvas, result.data, result.message, feature_mapper);
+ return new FeatureTrackTile(track, tile_index, resolution, canvas, result.data, mode, result.message, feature_mapper);
}
});
@@ -3891,7 +3991,7 @@
*/
FeaturePositionMapper.prototype.get_feature_data = function(x, y) {
// Find slot using Y.
- var slot = Math.floor(y/this.slot_height),
+ var slot = Math.floor( y/this.slot_height ),
feature_dict;
// May not be over a slot due to padding, margin, etc.
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: dan: Add Secure Hash/Message Digest tool to tool_conf.xml.main.
by Bitbucket 11 Oct '11
by Bitbucket 11 Oct '11
11 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/2766ff1b36c0/
changeset: 2766ff1b36c0
user: dan
date: 2011-10-11 16:09:32
summary: Add Secure Hash/Message Digest tool to tool_conf.xml.main.
affected #: 1 file (-1 bytes)
--- a/tool_conf.xml.main Mon Oct 10 18:42:31 2011 -0400
+++ b/tool_conf.xml.main Tue Oct 11 10:09:32 2011 -0400
@@ -45,6 +45,7 @@
<tool file="filters/tailWrapper.xml" /><tool file="filters/trimmer.xml" /><tool file="filters/wc_gnu.xml" />
+ <tool file="filters/secure_hash_message_digest.xml" /></section><section name="Convert Formats" id="convert"><tool file="filters/bed2gff.xml" />
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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10 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/d7614e783b2c/
changeset: d7614e783b2c
user: jen
date: 2011-10-11 00:42:31
summary: Other genome description: corrected typo.
affected #: 4 files (-1 bytes)
--- a/tools/sr_mapping/bowtie_color_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
+++ b/tools/sr_mapping/bowtie_color_wrapper.xml Mon Oct 10 18:42:31 2011 -0400
@@ -566,7 +566,7 @@
**A Note on Built-in Reference Genomes**
-The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped, plasmid, and other segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bowtie_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
+++ b/tools/sr_mapping/bowtie_wrapper.xml Mon Oct 10 18:42:31 2011 -0400
@@ -687,7 +687,7 @@
**A Note on Built-in Reference Genomes**
-The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped, plasmid, and other segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bwa_color_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
+++ b/tools/sr_mapping/bwa_color_wrapper.xml Mon Oct 10 18:42:31 2011 -0400
@@ -342,7 +342,7 @@
**A Note on Built-in Reference Genomes**
-The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped, plasmid, and other segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bwa_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
+++ b/tools/sr_mapping/bwa_wrapper.xml Mon Oct 10 18:42:31 2011 -0400
@@ -334,7 +334,7 @@
**A Note on Built-in Reference Genomes**
-The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped, plasmid, and other segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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commit/galaxy-central: jen: Other genome description: revised all, corrected canonical male
by Bitbucket 10 Oct '11
by Bitbucket 10 Oct '11
10 Oct '11
1 new changeset in galaxy-central:
http://bitbucket.org/galaxy/galaxy-central/changeset/173422ea8e01/
changeset: 173422ea8e01
user: jen
date: 2011-10-11 00:33:48
summary: Other genome description: revised all, corrected canonical male
affected #: 4 files (-1 bytes)
--- a/tools/sr_mapping/bowtie_color_wrapper.xml Mon Oct 10 15:51:43 2011 -0400
+++ b/tools/sr_mapping/bowtie_color_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
@@ -566,7 +566,7 @@
**A Note on Built-in Reference Genomes**
-Some genomes have multiple variants. If only one "type" of genome is listed, it is the Full version, which means that everything that came in the original genome data download (possibly with mitochondrial and plasmid DNA added if it wasn't already included). The Full version is available for every genome. Some genomes also come in the Canonical variant, which contains only the "canonical" (well-defined) chromosomes or segments, such as chr1-chr22, chrX, chrY, and chrM for human. Other variations include gender. These will come in the canonical form only, so the general Canonical variant is actually Canonical Female and the other is Canonical Male (identical to female excluding chrX).
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bowtie_wrapper.xml Mon Oct 10 15:51:43 2011 -0400
+++ b/tools/sr_mapping/bowtie_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
@@ -687,7 +687,7 @@
**A Note on Built-in Reference Genomes**
-Some genomes have multiple variants. If only one "type" of genome is listed, it is the Full version, which means that everything that came in the original genome data download (possibly with mitochondrial and plasmid DNA added if it wasn't already included). The Full version is available for every genome. Some genomes also come in the Canonical variant, which contains only the "canonical" (well-defined) chromosomes or segments, such as chr1-chr22, chrX, chrY, and chrM for human. Other variations include gender. These will come in the canonical form only, so the general Canonical variant is actually Canonical Female and the other is Canonical Male (identical to female excluding chrX).
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bwa_color_wrapper.xml Mon Oct 10 15:51:43 2011 -0400
+++ b/tools/sr_mapping/bwa_color_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
@@ -342,7 +342,7 @@
**A Note on Built-in Reference Genomes**
-Some genomes have multiple variants. If only one "type" of genome is listed, it is the Full version, which means that everything that came in the original genome data download (possibly with mitochondrial and plasmid DNA added if it wasn't already included). The Full version is available for every genome. Some genomes also come in the Canonical variant, which contains only the "canonical" (well-defined) chromosomes or segments, such as chr1-chr22, chrX, chrY, and chrM for human. Other variations include gender. These will come in the canonical form only, so the general Canonical variant is actually Canonical Female and the other is Canonical Male (identical to female excluding chrX).
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
------
--- a/tools/sr_mapping/bwa_wrapper.xml Mon Oct 10 15:51:43 2011 -0400
+++ b/tools/sr_mapping/bwa_wrapper.xml Mon Oct 10 18:33:48 2011 -0400
@@ -334,7 +334,7 @@
**A Note on Built-in Reference Genomes**
-Some genomes have multiple variants. If only one "type" of genome is listed, it is the Full version, which means that everything that came in the original genome data download (possibly with mitochondrial and plasmid DNA added if it wasn't already included). The Full version is available for every genome. Some genomes also come in the Canonical variant, which contains only the "canonical" (well-defined) chromosomes or segments, such as chr1-chr22, chrX, chrY, and chrM for human. Other variations include gender. These will come in the canonical form only, so the general Canonical variant is actually Canonical Female and the other is Canonical Male (identical to female excluding chrX).
+The default variant for all genomes is "Full", defined as all primary chromosomes (or scaffolds/contigs) including mitochondrial plus associated unmapped and other plasmid segments. When only one version of a genome is available in this tool, it represents the default "Full" variant. Some genomes will have more than one variant available. The "Canonical Male" or sometimes simply "Canonical" variant contains the primary chromosomes for a genome. For example a human "Canonical" variant contains chr1-chr22, chrX, chrY, and chrM. The "Canonical Female" variant contains the primary chromosomes excluding chrY.
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Repository URL: https://bitbucket.org/galaxy/galaxy-central/
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