sequence stringlengths 1.27k 35.1k | code stringlengths 75 8.58k |
|---|---|
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'merge'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def merge(self, features, ignore_strand=False):
features = list(features)
if len(features) == 0:
raise StopIteration
if ignore_strand:
strand = '.'
else:
strands = [i.strand for i in features]
if len(set(strands)) > 1:
raise... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '23']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'bed12'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '10', '14', '17', '20']}; {'id': '4', 'type': 'identifier', 'c... | def bed12(self, feature, block_featuretype=['exon'],
thick_featuretype=['CDS'], thin_featuretype=None,
name_field='ID', color=None):
if thick_featuretype and thin_featuretype:
raise ValueError("Can only specify one of `thick_featuertype` or "
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'inspect'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '12', '15']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def inspect(data, look_for=['featuretype', 'chrom', 'attribute_keys',
'feature_count'], limit=None, verbose=True):
results = {}
obj_attrs = []
for i in look_for:
if i not in ['attribute_keys', 'feature_count']:
obj_attrs.append(i)
results[i] = Counter(... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'feature_from_line'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'childre... | def feature_from_line(line, dialect=None, strict=True, keep_order=False):
if not strict:
lines = line.splitlines(False)
_lines = []
for i in lines:
i = i.strip()
if len(i) > 0:
_lines.append(i)
assert len(_lines) == 1, _lines
line = _li... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_reconstruct'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'children': []... | def _reconstruct(keyvals, dialect, keep_order=False,
sort_attribute_values=False):
if not dialect:
raise AttributeStringError()
if not keyvals:
return ""
parts = []
if constants.ignore_url_escape_characters or dialect['fmt'] != 'gff3':
attributes = keyvals
el... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '78']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_db'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '21', '24', '27', '30', '33', '36',... | def create_db(data, dbfn, id_spec=None, force=False, verbose=False,
checklines=10, merge_strategy='error', transform=None,
gtf_transcript_key='transcript_id', gtf_gene_key='gene_id',
gtf_subfeature='exon', force_gff=False,
force_dialect_check=False, from_string=Fa... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_id_handler'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def _id_handler(self, f):
if isinstance(self.id_spec, six.string_types):
id_key = [self.id_spec]
elif hasattr(self.id_spec, '__call__'):
id_key = [self.id_spec]
elif isinstance(self.id_spec, dict):
try:
id_key = self.id_spec[f.featuretype]
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'browser'}; {'id': '3', 'type': 'parameters', 'children': ['4', '7', '10']}; {'id': '4', 'type': 'default_parameter', 'children': ['5'... | def browser(tags=None, proxy=None, other_caps=None):
browser_name = os.environ.get('SELENIUM_BROWSER', 'firefox')
def browser_check_func():
try:
if _use_remote_browser(SAUCE_ENV_VARS):
browser_class, browser_args, browser_kwargs = _remote_browser_class(
SA... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_local_browser_class'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def _local_browser_class(browser_name):
LOGGER.info(u"Using local browser: %s [Default is firefox]", browser_name)
browser_class = BROWSERS.get(browser_name)
headless = os.environ.get('BOKCHOY_HEADLESS', 'false').lower() == 'true'
if browser_class is None:
raise BrowserConfigError(
u... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'filter'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def filter(self, filter_fn=None, desc=None, **kwargs):
if filter_fn is not None and kwargs:
raise TypeError('Must supply either a filter_fn or attribute filter parameters to filter(), but not both.')
if filter_fn is None and not kwargs:
raise TypeError('Must supply one of filter_... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'order_by_on_list'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def order_by_on_list(objects, order_field, is_desc=False):
if callable(order_field):
objects.sort(key=order_field, reverse=is_desc)
return
def order_key(x):
v = getattr_path(x, order_field)
if v is None:
return MIN
return v
objects.sort(key=order_key, reve... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '41']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'render_table'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18', '21', '24', '27', '30', '33']}; ... | def render_table(request,
table,
links=None,
context=None,
template='tri_table/list.html',
blank_on_empty=False,
paginate_by=40,
page=None,
paginator=None,
show_hits=F... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '22']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_network'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13', '16', '19']}; {'id': '4', 'type': 'i... | def create_network(self, net_view_name, cidr, nameservers=None,
members=None, gateway_ip=None, dhcp_trel_ip=None,
network_extattrs=None):
ipv4 = ib_utils.determine_ip_version(cidr) == 4
options = []
if nameservers:
options.append(obj.Dhcp... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_run_pass'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};... | def _run_pass(self):
while True:
try:
data = self._file.read(4096)
except IOError, e:
if e.errno == errno.ESTALE:
self.active = False
return False
lines = self._buffer_extract(data)
if not lin... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'update_files'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def update_files(self):
if self._update_time and int(time.time()) - self._update_time < self._discover_interval:
return
self._update_time = int(time.time())
possible_files = []
files = []
if len(self._beaver_config.get('globs')) > 0:
extend_files = files.e... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26']}; {'id': '4', 'type': 'ide... | def parse(gctx_file_path, convert_neg_666=True, rid=None, cid=None,
ridx=None, cidx=None, row_meta_only=False, col_meta_only=False, make_multiindex=False):
full_path = os.path.expanduser(gctx_file_path)
if not os.path.exists(full_path):
err_msg = "The given path to the gctx file cannot be foun... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'multi_index_df_to_component_dfs'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', ... | def multi_index_df_to_component_dfs(multi_index_df, rid="rid", cid="cid"):
rids = list(multi_index_df.index.get_level_values(rid))
cids = list(multi_index_df.columns.get_level_values(cid))
if isinstance(multi_index_df.index, pd.MultiIndex):
if len(multi_index_df.index.names) > 1:
mi_df_i... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26']}; {'id': '4', 'type': 'ide... | def parse(file_path, convert_neg_666=True, rid=None, cid=None, ridx=None, cidx=None,
row_meta_only=False, col_meta_only=False, make_multiindex=False):
if file_path.endswith(".gct"):
out = parse_gct.parse(file_path, convert_neg_666=convert_neg_666,
rid=rid, cid=cid, ri... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'assemble_concatenated_meta'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children':... | def assemble_concatenated_meta(concated_meta_dfs, remove_all_metadata_fields):
if remove_all_metadata_fields:
for df in concated_meta_dfs:
df.drop(df.columns, axis=1, inplace=True)
all_concated_meta_df = pd.concat(concated_meta_dfs, axis=0)
n_rows = all_concated_meta_df.shape[0]
logg... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'assemble_data'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def assemble_data(data_dfs, concat_direction):
if concat_direction == "horiz":
all_data_df = pd.concat(data_dfs, axis=1)
n_cols = all_data_df.shape[1]
logger.debug("all_data_df.shape[1]: {}".format(n_cols))
n_cols_cumulative = sum([df.shape[1] for df in data_dfs])
assert n_co... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_rows_to_keep'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'ch... | def get_rows_to_keep(gctoo, rid=None, row_bool=None, ridx=None, exclude_rid=None):
if rid is not None:
assert type(rid) == list, "rid must be a list. rid: {}".format(rid)
rows_to_keep = [gctoo_row for gctoo_row in gctoo.data_df.index if gctoo_row in rid]
num_missing_rids = len(rid) - len(row... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_cols_to_keep'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'ch... | def get_cols_to_keep(gctoo, cid=None, col_bool=None, cidx=None, exclude_cid=None):
if cid is not None:
assert type(cid) == list, "cid must be a list. cid: {}".format(cid)
cols_to_keep = [gctoo_col for gctoo_col in gctoo.data_df.columns if gctoo_col in cid]
num_missing_cids = len(cid) - len(c... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'finish'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def finish(queue_name, task_id, owner, error=False):
task = _get_task_with_policy(queue_name, task_id, owner)
if not task.status == WorkQueue.LIVE:
logging.warning('Finishing already dead task. queue=%r, task_id=%r, '
'owner=%r, status=%r',
task.queue_name... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'send_ready_for_review'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children':... | def send_ready_for_review(build_id, release_name, release_number):
build = models.Build.query.get(build_id)
if not build.send_email:
logging.debug(
'Not sending ready for review email because build does not have '
'email enabled. build_id=%r', build.id)
return
ops = o... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'claim_invitations'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def claim_invitations(user):
invitation_user_id = '%s:%s' % (
models.User.EMAIL_INVITATION, user.email_address)
invitation_user = models.User.query.get(invitation_user_id)
if invitation_user:
invited_build_list = list(invitation_user.builds)
if not invited_build_list:
ret... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_check_release_done_processing'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': ... | def _check_release_done_processing(release):
if release.status != models.Release.PROCESSING:
logging.info('Release not in processing state yet: build_id=%r, '
'name=%r, number=%d', release.build_id, release.name,
release.number)
return False
query = mode... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'download'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '37', '51', '68', '81', ... | def download():
try:
build = auth.can_user_access_build('build_id')
except HTTPException:
logging.debug('User access to artifact failed. Trying API key.')
_, build = auth.can_api_key_access_build('build_id')
sha1sum = request.args.get('sha1sum', type=str)
if not sha1sum:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_run'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'run'}; {... | def sort_run(run):
if run.status in models.Run.DIFF_NEEDED_STATES:
return (0, run.name)
return (1, run.name) |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def parse(obj, required_properties=None, additional_properties=None,
ignore_optional_property_errors=None):
if not (required_properties is
additional_properties is
ignore_optional_property_errors is None):
with parsing(required_properties=required_properties,
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'adapts'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'dictionary_splat_pattern', 'children': ['5']}; {'... | def adapts(**schemas):
validate = parse(schemas).validate
@decorator
def adapting(func, *args, **kwargs):
adapted = validate(inspect.getcallargs(func, *args, **kwargs), adapt=True)
argspec = inspect.getargspec(func)
if argspec.varargs is argspec.keywords is None:
return f... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '27']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'download'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13', '17', '21', '24']}; {'id': '4', 'type': 'i... | def download(self, bundle_uuid, replica, version="", download_dir="",
metadata_files=('*',), data_files=('*',),
num_retries=10, min_delay_seconds=0.25):
errors = 0
with concurrent.futures.ThreadPoolExecutor(self.threads) as executor:
futures_to_dss_file = {e... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_do_download_file'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'chil... | def _do_download_file(self, dss_file, fh, num_retries, min_delay_seconds):
hasher = hashlib.sha256()
delay = min_delay_seconds
retries_left = num_retries
while True:
try:
response = self.get_file._request(
dict(uuid=dss_file.uuid, version=d... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'output'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def output(self, output, status=None):
if output:
size = self.cli.output.get_size()
margin = self.get_output_margin(status)
fits = True
buf = []
output_via_pager = self.explicit_pager and special.is_pager_enabled()
for i, line in enumerate(... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'find_matches'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier', 'childre... | def find_matches(text, collection, start_only=False, fuzzy=True, casing=None):
last = last_word(text, include='most_punctuations')
text = last.lower()
completions = []
if fuzzy:
regex = '.*?'.join(map(escape, text))
pat = compile('(%s)' % regex)
for it... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'cli_bindings'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '26', '71', '112', '... | def cli_bindings():
key_binding_manager = KeyBindingManager(
enable_open_in_editor=True,
enable_system_bindings=True,
enable_auto_suggest_bindings=True,
enable_search=True,
enable_abort_and_exit_bindings=True)
@key_binding_manager.registry.add_binding(Keys.F2)
def _(e... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_thumbnail_options'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children'... | def _get_thumbnail_options(self, context, instance):
width, height = None, None
subject_location = False
placeholder_width = context.get('width', None)
placeholder_height = context.get('height', None)
if instance.use_autoscale and placeholder_width:
width = int(placeh... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'group_and_sort_statements'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': ... | def group_and_sort_statements(stmt_list, ev_totals=None):
def _count(stmt):
if ev_totals is None:
return len(stmt.evidence)
else:
return ev_totals[stmt.get_hash()]
stmt_rows = defaultdict(list)
stmt_counts = defaultdict(lambda: 0)
arg_counts = defaultdict(lambda: ... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_stmt_from_sort_key'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []... | def make_stmt_from_sort_key(key, verb):
def make_agent(name):
if name == 'None' or name is None:
return None
return Agent(name)
StmtClass = get_statement_by_name(verb)
inps = list(key[1])
if verb == 'Complex':
stmt = StmtClass([make_agent(name) for name in inps])
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'print_boolean_net'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def print_boolean_net(self, out_file=None):
init_str = ''
for node_key in self.graph.nodes():
node_name = self.graph.node[node_key]['name']
init_str += '%s = False\n' % node_name
rule_str = ''
for node_key in self.graph.nodes():
node_name = self.graph.... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_complex_agents'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def _get_complex_agents(self, complex_id):
agents = []
components = self._recursively_lookup_complex(complex_id)
for c in components:
db_refs = {}
name = uniprot_client.get_gene_name(c)
if name is None:
db_refs['SIGNOR'] = c
else:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_args'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'node'}; ... | def get_args(node):
arg_roles = {}
args = node.findall('arg') + \
[node.find('arg1'), node.find('arg2'), node.find('arg3')]
for arg in args:
if arg is not None:
id = arg.attrib.get('id')
if id is not None:
arg_roles[arg.attrib['role']] = (arg.attrib['i... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'map_statements'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def map_statements(self):
for stmt in self.statements:
for agent in stmt.agent_list():
if agent is None:
continue
all_mappings = []
for db_name, db_id in agent.db_refs.items():
if isinstance(db_id, list):
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'agent_texts_with_grounding'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def agent_texts_with_grounding(stmts):
allag = all_agents(stmts)
for ag in allag:
pfam_def = ag.db_refs.get('PFAM-DEF')
if pfam_def is not None:
ag.db_refs['PFAM-DEF'] = tuple(pfam_def)
refs = [tuple(ag.db_refs.items()) for ag in allag]
refs_counter = Counter(refs)
refs_c... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'ungrounded_texts'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def ungrounded_texts(stmts):
ungrounded = [ag.db_refs['TEXT']
for s in stmts
for ag in s.agent_list()
if ag is not None and list(ag.db_refs.keys()) == ['TEXT']]
ungroundc = Counter(ungrounded)
ungroundc = ungroundc.items()
ungroundc = sorted(unground... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'protein_map_from_twg'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def protein_map_from_twg(twg):
protein_map = {}
unmatched = 0
matched = 0
logger.info('Building grounding map for human proteins')
for agent_text, grounding_list, _ in twg:
if 'UP' not in [entry[0] for entry in grounding_list]:
continue
uniprot_ids = [entry[1] for entry i... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'save_sentences'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': ... | def save_sentences(twg, stmts, filename, agent_limit=300):
sentences = []
unmapped_texts = [t[0] for t in twg]
counter = 0
logger.info('Getting sentences for top %d unmapped agent texts.' %
agent_limit)
for text in unmapped_texts:
agent_sentences = get_sentences_for_agent(tex... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_text_for_grounding'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []... | def _get_text_for_grounding(stmt, agent_text):
text = None
try:
from indra_db.util.content_scripts \
import get_text_content_from_text_refs
from indra.literature.deft_tools import universal_extract_text
refs = stmt.evidence[0].text_refs
if stmt.evidence[0].pmid:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'map_agents_for_stmt'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [... | def map_agents_for_stmt(self, stmt, do_rename=True):
mapped_stmt = deepcopy(stmt)
agent_list = mapped_stmt.agent_list()
for idx, agent in enumerate(agent_list):
if agent is None:
continue
agent_txt = agent.db_refs.get('TEXT')
if agent_txt is No... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'map_agent'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def map_agent(self, agent, do_rename):
agent_text = agent.db_refs.get('TEXT')
mapped_to_agent_json = self.agent_map.get(agent_text)
if mapped_to_agent_json:
mapped_to_agent = \
Agent._from_json(mapped_to_agent_json['agent'])
return mapped_to_agent, False
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'rename_agents'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def rename_agents(self, stmts):
mapped_stmts = deepcopy(stmts)
for _, stmt in enumerate(mapped_stmts):
for agent in stmt.agent_list():
if agent is None:
continue
if agent.db_refs.get('FPLX'):
agent.name = agent.db_refs.g... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_ptms'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def get_ptms(self, ptm_df):
logger.info('Processing PTMs...')
for ix, row in ptm_df.iterrows():
ptm_class = _ptm_map[row['MOD_TYPE']]
if ptm_class is None:
continue
sub_ag = self._make_agent(row['HPRD_ID'],
refseq_... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_process_interaction'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9']}; {'id': '4', 'type': 'identifie... | def _process_interaction(self, source_id, interaction, text, pmid,
extra_annotations):
verb = interaction[0].lower()
subj = interaction[-2]
obj = interaction[-1]
subj = self._make_agent(subj)
obj = self._make_agent(obj)
annotations = deepcopy(... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_regulate_amounts'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def get_regulate_amounts(self):
p = pb.controlsExpressionWithTemplateReac()
s = _bpp('Searcher')
res = s.searchPlain(self.model, p)
res_array = [_match_to_array(m) for m in res.toArray()]
stmts = []
for res in res_array:
'''
controller_er = res[p.i... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_gef'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {... | def get_gef(self):
p = self._gef_gap_base()
s = _bpp('Searcher')
res = s.searchPlain(self.model, p)
res_array = [_match_to_array(m) for m in res.toArray()]
for r in res_array:
controller_pe = r[p.indexOf('controller PE')]
input_pe = r[p.indexOf('input PE')... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_gap'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {... | def get_gap(self):
p = self._gef_gap_base()
s = _bpp('Searcher')
res = s.searchPlain(self.model, p)
res_array = [_match_to_array(m) for m in res.toArray()]
for r in res_array:
controller_pe = r[p.indexOf('controller PE')]
input_pe = r[p.indexOf('input PE')... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_generic_modification'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': ... | def _get_generic_modification(self, mod_class):
mod_type = modclass_to_modtype[mod_class]
if issubclass(mod_class, RemoveModification):
mod_gain_const = mcct.LOSS
mod_type = modtype_to_inverse[mod_type]
else:
mod_gain_const = mcct.GAIN
mod_filter = mod... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_extract_mod_from_feature'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def _extract_mod_from_feature(mf):
mf_type = mf.getModificationType()
if mf_type is None:
return None
mf_type_terms = mf_type.getTerm().toArray()
known_mf_type = None
for t in mf_type_terms:
if t.startswith('MOD_RES '):
t = t[8:]
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_activations'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | def get_activations(self):
act_events = self.tree.findall("EVENT/[type='ONT::ACTIVATE']")
inact_events = self.tree.findall("EVENT/[type='ONT::DEACTIVATE']")
inact_events += self.tree.findall("EVENT/[type='ONT::INHIBIT']")
for event in (act_events + inact_events):
event_id = e... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_activations_causal'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def get_activations_causal(self):
ccs = self.tree.findall("CC/[type='ONT::CAUSE']")
for cc in ccs:
factor = cc.find("arg/[@role=':FACTOR']")
outcome = cc.find("arg/[@role=':OUTCOME']")
if factor is None or outcome is None:
continue
factor_i... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_activations_stimulate'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], '... | def get_activations_stimulate(self):
stim_events = self.tree.findall("EVENT/[type='ONT::STIMULATE']")
for event in stim_events:
event_id = event.attrib.get('id')
if event_id in self._static_events:
continue
controller = event.find("arg1/[@role=':AGENT'... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_degradations'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def get_degradations(self):
deg_events = self.tree.findall("EVENT/[type='ONT::CONSUME']")
for event in deg_events:
if event.attrib['id'] in self._static_events:
continue
affected = event.find(".//*[@role=':AFFECTED']")
if affected is None:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_complexes'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def get_complexes(self):
bind_events = self.tree.findall("EVENT/[type='ONT::BIND']")
bind_events += self.tree.findall("EVENT/[type='ONT::INTERACT']")
for event in bind_events:
if event.attrib['id'] in self._static_events:
continue
arg1 = event.find("arg1")... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_modifications_indirect'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_modifications_indirect(self):
mod_event_types = list(ont_to_mod_type.keys())
mod_event_types += ['ONT::PTM']
def get_increase_events(mod_event_types):
mod_events = []
events = self.tree.findall("EVENT/[type='ONT::INCREASE']")
for event in events:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'replace_activities'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def replace_activities(self):
logger.debug('Running PySB Preassembler replace activities')
new_stmts = []
def has_agent_activity(stmt):
for agent in stmt.agent_list():
if isinstance(agent, Agent) and agent.activity is not None:
return True
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_reverse_effects'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def add_reverse_effects(self):
pos_mod_sites = {}
neg_mod_sites = {}
syntheses = []
degradations = []
for stmt in self.statements:
if isinstance(stmt, Phosphorylation):
agent = stmt.sub.name
try:
pos_mod_sites[agent]... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'map_sites'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def map_sites(self, stmts):
valid_statements = []
mapped_statements = []
for stmt in stmts:
mapped_stmt = self.map_stmt_sites(stmt)
if mapped_stmt is not None:
mapped_statements.append(mapped_stmt)
else:
valid_statements.append(... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_map_agent_sites'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def _map_agent_sites(self, agent):
if agent is None or not agent.mods:
return [], agent
new_agent = deepcopy(agent)
mapped_sites = []
for idx, mod_condition in enumerate(agent.mods):
mapped_site = \
self._map_agent_mod(agent, mod_condition)
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_map_agent_mod'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def _map_agent_mod(self, agent, mod_condition):
up_id = _get_uniprot_id(agent)
if not up_id:
logger.debug("No uniprot ID for %s" % agent.name)
return None
if mod_condition.position is None or mod_condition.residue is None:
return None
mapped_site = \
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_graph_reductions'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def _get_graph_reductions(graph):
def frontier(g, nd):
if g.out_degree(nd) == 0:
return set([nd])
else:
frontiers = set()
for n in g.successors(nd):
frontiers = frontiers.union(frontier(graph, n))
return frontiers
reductions = {}
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'gather_implicit_activities'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def gather_implicit_activities(self):
for stmt in self.statements:
if isinstance(stmt, Phosphorylation) or \
isinstance(stmt, Transphosphorylation) or \
isinstance(stmt, Autophosphorylation):
if stmt.enz is not None:
enz_base = self... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'reduce_activities'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def reduce_activities(self):
for stmt in self.statements:
agents = stmt.agent_list()
for agent in agents:
if agent is not None and agent.activity is not None:
agent_base = self._get_base(agent)
act_red = agent_base.get_activity_redu... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'infer_activations'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def infer_activations(stmts):
linked_stmts = []
af_stmts = _get_statements_by_type(stmts, ActiveForm)
mod_stmts = _get_statements_by_type(stmts, Modification)
for af_stmt, mod_stmt in itertools.product(*(af_stmts, mod_stmts)):
if mod_stmt.enz is None or \
(not... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'infer_active_forms'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def infer_active_forms(stmts):
linked_stmts = []
for act_stmt in _get_statements_by_type(stmts, RegulateActivity):
if not (act_stmt.subj.activity is not None and
act_stmt.subj.activity.activity_type == 'kinase' and
act_stmt.subj.activity.is_active):
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'infer_modifications'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def infer_modifications(stmts):
linked_stmts = []
for act_stmt in _get_statements_by_type(stmts, RegulateActivity):
for af_stmt in _get_statements_by_type(stmts, ActiveForm):
if not af_stmt.agent.entity_matches(act_stmt.obj):
continue
mods ... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'score_evidence_list'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def score_evidence_list(self, evidences):
def _score(evidences):
if not evidences:
return 0
sources = [ev.source_api for ev in evidences]
uniq_sources = numpy.unique(sources)
syst_factors = {s: self.prior_probs['syst'][s]
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'update_probs'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def update_probs(self):
syst_error = 0.05
prior_probs = {'syst': {}, 'rand': {}}
for source, (p, n) in self.prior_counts.items():
if n + p == 0:
continue
prior_probs['syst'][source] = syst_error
prior_probs['rand'][source] = \
1... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'set_hierarchy_probs'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def set_hierarchy_probs(self, statements):
def build_hierarchy_graph(stmts):
g = networkx.DiGraph()
for st1 in stmts:
g.add_node(st1.matches_key(), stmt=st1)
for st2 in st1.supported_by:
g.add_node(st2.matches_key(), stmt=st2)
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_statements'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def get_statements(self, reprocess=False):
if self._statements is None or reprocess:
if self.content is None:
self._statements = []
return []
if self.reader == ReachReader.name:
if self.format == formats.JSON:
json_str =... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'read'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def read(self, read_list, verbose=False, log=False, n_per_proc=None):
"Perform the actual reading."
ret = []
self.prep_input(read_list)
L = len(self.file_list)
if L == 0:
return ret
logger.info("Beginning to run sparser.")
output_file_list = []
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'read_pmid_sentences'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def read_pmid_sentences(pmid_sentences, **drum_args):
def _set_pmid(statements, pmid):
for stmt in statements:
for evidence in stmt.evidence:
evidence.pmid = pmid
run_drum = drum_args.get('run_drum', False)
drum_process = None
all_statements = {}
for pmid, sentenc... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'graph_query'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier', 'children... | def graph_query(kind, source, target=None, neighbor_limit=1,
database_filter=None):
default_databases = ['wp', 'smpdb', 'reconx', 'reactome', 'psp', 'pid',
'panther', 'netpath', 'msigdb', 'mirtarbase', 'kegg',
'intact', 'inoh', 'humancyc', 'hprd',
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'set_CCLE_context'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def set_CCLE_context(self, cell_types):
self.get_gene_names()
exp_values = \
context_client.get_protein_expression(self._gene_names, cell_types)
mut_values = \
context_client.get_mutations(self._gene_names, cell_types)
muts = {cell_line: {} for cell_line in cell_t... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_node_key'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def _get_node_key(self, node_dict_item):
s = tuple(sorted(node_dict_item['sources']))
t = tuple(sorted(node_dict_item['targets']))
return (s, t) |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_node_groups'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def _get_node_groups(self):
node_dict = {node['data']['id']: {'sources': [], 'targets': []}
for node in self._nodes}
for edge in self._edges:
edge_data = (edge['data']['i'], edge['data']['polarity'],
edge['data']['source'])
node_dict[... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_group_edges'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def _group_edges(self):
edges_to_add = [[], []]
for e in self._edges:
new_edge = deepcopy(e)
new_edge['data'].pop('id', None)
uuid_list = new_edge['data'].pop('uuid_list', [])
source = e['data']['source']
target = e['data']['target']
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '40']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_statements'}; {'id': '3', 'type': 'parameters', 'children': ['4', '7', '10', '13', '16', '19', '22', '25', '28', '31', '34', '37'... | def get_statements(subject=None, object=None, agents=None, stmt_type=None,
use_exact_type=False, persist=True, timeout=None,
simple_response=False, ev_limit=10, best_first=True, tries=2,
max_stmts=None):
processor = IndraDBRestProcessor(subject, object, agent... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_statements_by_hash'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'ch... | def get_statements_by_hash(hash_list, ev_limit=100, best_first=True, tries=2):
if not isinstance(hash_list, list):
raise ValueError("The `hash_list` input is a list, not %s."
% type(hash_list))
if not hash_list:
return []
if isinstance(hash_list[0], str):
has... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_statements_for_paper'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifi... | def get_statements_for_paper(ids, ev_limit=10, best_first=True, tries=2,
max_stmts=None):
id_l = [{'id': id_val, 'type': id_type} for id_type, id_val in ids]
resp = submit_statement_request('post', 'from_papers', data={'ids': id_l},
ev_limit=ev_li... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_statement_queries'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_statement_queries(stmts, **params):
def pick_ns(ag):
for ns in ['HGNC', 'FPLX', 'CHEMBL', 'CHEBI', 'GO', 'MESH']:
if ns in ag.db_refs.keys():
dbid = ag.db_refs[ns]
break
else:
ns = 'TEXT'
dbid = ag.name
return '%s@%s... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_statement'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def make_statement(self, action, mention):
(statement_generator, is_direct) = \
geneways_action_to_indra_statement_type(mention.actiontype,
action.plo)
if statement_generator is None:
return None
text = None
if s... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'directly_or_indirectly_related'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9', '10']}; {'id': '4', 't... | def directly_or_indirectly_related(self, ns1, id1, ns2, id2, closure_dict,
relation_func):
if id2 is None or (id2 is None and id1 is None):
return True
elif id1 is None:
return False
if closure_dict:
term1 = self.get_uri(... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'analyze_db_reading'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def analyze_db_reading(job_prefix, reading_queue='run_db_reading_queue'):
log_strs = get_logs_from_db_reading(job_prefix, reading_queue)
indra_log_strs = []
all_reach_logs = []
log_stats = []
for log_str in log_strs:
log_str, reach_logs = separate_reach_logs(log_str)
all_reach_logs.e... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_create_base_agent'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def get_create_base_agent(self, agent):
try:
base_agent = self.agents[_n(agent.name)]
except KeyError:
base_agent = BaseAgent(_n(agent.name))
self.agents[_n(agent.name)] = base_agent
if isinstance(agent, Agent):
for bc in agent.bound_conditions:
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'classify_nodes'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def classify_nodes(graph, hub):
node_stats = defaultdict(lambda: defaultdict(list))
for u, v, data in graph.edges(data=True):
if hub == u:
h, o = u, v
if data['i'] != 'Complex':
node_stats[o]['up'].append(-1)
else:
node_stats[o]['up'].a... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'doi_query'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'pm... | def doi_query(pmid, search_limit=10):
pubmed_meta_dict = pubmed_client.get_metadata_for_ids([pmid],
get_issns_from_nlm=True)
if pubmed_meta_dict is None or pubmed_meta_dict.get(pmid) is None:
logger.warning('No metadata found in Pubmed for PMID%s' ... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_agent_rule_str'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def get_agent_rule_str(agent):
rule_str_list = [_n(agent.name)]
if isinstance(agent, ist.Agent):
for mod in agent.mods:
mstr = abbrevs[mod.mod_type]
if mod.residue is not None:
mstr += mod.residue
if mod.position is not None:
mstr += mo... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'grounded_monomer_patterns'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childr... | def grounded_monomer_patterns(model, agent, ignore_activities=False):
if not isinstance(agent, ist.Agent):
monomer = model.monomers.get(agent.name)
if not monomer:
return
yield monomer()
monomer = None
for ann in model.annotations:
if monomer:
break
... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_site_pattern'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def get_site_pattern(agent):
if not isinstance(agent, ist.Agent):
return {}
pattern = {}
for bc in agent.bound_conditions:
if bc.is_bound:
pattern[get_binding_site_name(bc.agent)] = ANY
else:
pattern[get_binding_site_name(bc.agent)] = None
for mod in agent... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_model'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'children... | def make_model(self, policies=None, initial_conditions=True,
reverse_effects=False, model_name='indra_model'):
ppa = PysbPreassembler(self.statements)
self.processed_policies = self.process_policies(policies)
ppa.replace_activities()
if reverse_effects:
ppa... |
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_modifications'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def get_modifications(self):
qstr = "$.events.frames[(@.type is 'protein-modification')]"
res = self.tree.execute(qstr)
if res is None:
return
for r in res:
modification_type = r.get('subtype')
epistemics = self._get_epistemics(r)
if episte... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.