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0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:merge; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:features; 6, default_parameter; 6, 7; 6, 8; 7, identifier:ignore_strand; 8, False; 9, block; 9, 10; 9, 17; 9, 27; 9, 70; 9, 80; 9, 98; 9, 104; 9, 112; 9, 120; 9, 213; 9, ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 23; 2, function_name:bed12; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 10; 3, 14; 3, 17; 3, 20; 4, identifier:self; 5, identifier:feature; 6, default_parameter; 6, 7; 6, 8; 7, identifier:block_featuretype; 8, list:['exon']; 8, 9; 9, string:'exon'; 10, default_parameter; ...
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 " ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 18; 2, function_name:inspect; 3, parameters; 3, 4; 3, 5; 3, 12; 3, 15; 4, identifier:data; 5, default_parameter; 5, 6; 5, 7; 6, identifier:look_for; 7, list:['featuretype', 'chrom', 'attribute_keys', 'feature_count']; 7, 8; 7, 9; 7, 10;...
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(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:feature_from_line; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:line; 5, default_parameter; 5, 6; 5, 7; 6, identifier:dialect; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:strict; 10, True; 11, default_parameter; 11, 12; ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:_reconstruct; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:keyvals; 5, identifier:dialect; 6, default_parameter; 6, 7; 6, 8; 7, identifier:keep_order; 8, False; 9, default_parameter; 9, 10; 9, 11; 10, identifier:sort_attribute_values; ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 78; 2, function_name:create_db; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 3, 15; 3, 18; 3, 21; 3, 24; 3, 27; 3, 30; 3, 33; 3, 36; 3, 39; 3, 42; 3, 45; 3, 50; 3, 53; 3, 58; 3, 61; 3, 64; 3, 67; 3, 70; 3, 73; 3, 76; 4, identifier:data; 5, identifier:dbfn; 6, def...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_id_handler; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:f; 6, block; 6, 7; 6, 96; 6, 194; 7, if_statement; 7, 8; 7, 17; 7, 25; 7, 41; 7, 88; 8, call; 8, 9; 8, 10; 9, identifier:isinstance; 10, argument_list; 10, 11; 10, 14; 11...
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] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 13; 2, function_name:browser; 3, parameters; 3, 4; 3, 7; 3, 10; 4, default_parameter; 4, 5; 4, 6; 5, identifier:tags; 6, None; 7, default_parameter; 7, 8; 7, 9; 8, identifier:proxy; 9, None; 10, default_parameter; 10, 11; 10, 12; 11, identifier:other_caps; 12, Non...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_local_browser_class; 3, parameters; 3, 4; 4, identifier:browser_name; 5, block; 5, 6; 5, 14; 5, 23; 5, 41; 6, expression_statement; 6, 7; 7, call; 7, 8; 7, 11; 8, attribute; 8, 9; 8, 10; 9, identifier:LOGGER; 10, identifier:info; 11, argument_...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 13; 2, function_name:filter; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:filter_fn; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:desc; 10, None; 11, dictionary_splat_pattern; 11, 12; 12, ...
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_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:order_by_on_list; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:objects; 5, identifier:order_field; 6, default_parameter; 6, 7; 6, 8; 7, identifier:is_desc; 8, False; 9, block; 9, 10; 9, 29; 9, 51; 10, if_statement; 10, 11; 10, 15; 11, call; 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 41; 2, function_name:render_table; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 3, 15; 3, 18; 3, 21; 3, 24; 3, 27; 3, 30; 3, 33; 4, identifier:request; 5, identifier:table; 6, default_parameter; 6, 7; 6, 8; 7, identifier:links; 8, None; 9, default_parameter; 9, 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 22; 2, function_name:create_network; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 3, 16; 3, 19; 4, identifier:self; 5, identifier:net_view_name; 6, identifier:cidr; 7, default_parameter; 7, 8; 7, 9; 8, identifier:nameservers; 9, None; 10, default_parameter...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_run_pass; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 173; 6, while_statement; 6, 7; 6, 8; 7, True; 8, block; 8, 9; 8, 43; 8, 52; 8, 101; 8, 111; 8, 142; 8, 152; 9, try_statement; 9, 10; 9, 22; 10, block; 10, 11; 11, expression...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:update_files; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 29; 5, 42; 5, 46; 5, 50; 5, 171; 5, 236; 5, 252; 6, if_statement; 6, 7; 6, 27; 7, boolean_operator:and; 7, 8; 7, 11; 8, attribute; 8, 9; 8, 10; 9, identifier:self; 10, id...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 29; 2, function_name:parse; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 3, 17; 3, 20; 3, 23; 3, 26; 4, identifier:gctx_file_path; 5, default_parameter; 5, 6; 5, 7; 6, identifier:convert_neg_666; 7, True; 8, default_parameter; 8, 9; 8, 10; 9, identifier:rid; 10,...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:multi_index_df_to_component_dfs; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:multi_index_df; 5, default_parameter; 5, 6; 5, 7; 6, identifier:rid; 7, string:"rid"; 8, default_parameter; 8, 9; 8, 10; 9, identifier:cid; 10, string:"cid"; 11, b...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 29; 2, function_name:parse; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 3, 17; 3, 20; 3, 23; 3, 26; 4, identifier:file_path; 5, default_parameter; 5, 6; 5, 7; 6, identifier:convert_neg_666; 7, True; 8, default_parameter; 8, 9; 8, 10; 9, identifier:rid; 10, None...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:assemble_concatenated_meta; 3, parameters; 3, 4; 3, 5; 4, identifier:concated_meta_dfs; 5, identifier:remove_all_metadata_fields; 6, block; 6, 7; 6, 29; 6, 41; 6, 49; 6, 61; 6, 76; 6, 80; 6, 98; 7, if_statement; 7, 8; 7, 9; 8, identifier:remove...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:assemble_data; 3, parameters; 3, 4; 3, 5; 4, identifier:data_dfs; 5, identifier:concat_direction; 6, block; 6, 7; 6, 119; 6, 137; 7, if_statement; 7, 8; 7, 11; 7, 63; 8, comparison_operator:==; 8, 9; 8, 10; 9, identifier:concat_direction; 10, s...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:get_rows_to_keep; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:gctoo; 5, default_parameter; 5, 6; 5, 7; 6, identifier:rid; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:row_bool; 10, None; 11, default_parameter; 11,...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:get_cols_to_keep; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:gctoo; 5, default_parameter; 5, 6; 5, 7; 6, identifier:cid; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:col_bool; 10, None; 11, default_parameter; 11,...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:finish; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:queue_name; 5, identifier:task_id; 6, identifier:owner; 7, default_parameter; 7, 8; 7, 9; 8, identifier:error; 9, False; 10, block; 10, 11; 10, 20; 10, 49; 10, 71; 10, 83; 10, 92; 10...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:send_ready_for_review; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:build_id; 5, identifier:release_name; 6, identifier:release_number; 7, block; 7, 8; 7, 21; 7, 40; 7, 49; 7, 63; 7, 86; 7, 98; 7, 117; 7, 121; 7, 152; 7, 175; 7, 185; 7, 191; ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:claim_invitations; 3, parameters; 3, 4; 4, identifier:user; 5, block; 5, 6; 5, 20; 5, 33; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:invitation_user_id; 9, binary_operator:%; 9, 10; 9, 11; 10, string:'%s:%s'; 11, tu...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_check_release_done_processing; 3, parameters; 3, 4; 4, identifier:release; 5, block; 5, 6; 5, 37; 5, 54; 5, 95; 5, 113; 5, 119; 5, 125; 5, 131; 5, 150; 5, 160; 5, 169; 6, if_statement; 6, 7; 6, 16; 7, comparison_operator:!=; 7, 8; 7, 11; 8, at...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 4; 2, function_name:download; 3, parameters; 4, block; 4, 5; 4, 37; 4, 51; 4, 68; 4, 81; 4, 98; 4, 112; 4, 129; 4, 146; 4, 164; 4, 187; 4, 202; 4, 229; 5, try_statement; 5, 6; 5, 16; 6, block; 6, 7; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, ide...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:sort_run; 3, parameters; 3, 4; 4, identifier:run; 5, block; 5, 6; 5, 23; 6, if_statement; 6, 7; 6, 16; 7, comparison_operator:in; 7, 8; 7, 11; 8, attribute; 8, 9; 8, 10; 9, identifier:run; 10, identifier:status; 11, attribute; 11, 12; 11, 15; 1...
def sort_run(run): if run.status in models.Run.DIFF_NEEDED_STATES: return (0, run.name) return (1, run.name)
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:parse; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:obj; 5, default_parameter; 5, 6; 5, 7; 6, identifier:required_properties; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:additional_properties; 10, None; 11, default_param...
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, ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:adapts; 3, parameters; 3, 4; 4, dictionary_splat_pattern; 4, 5; 5, identifier:schemas; 6, block; 6, 7; 6, 16; 6, 143; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:validate; 10, attribute; 10, 11; 10, 15; 11, call; 11...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 27; 2, function_name:download; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 3, 17; 3, 21; 3, 24; 4, identifier:self; 5, identifier:bundle_uuid; 6, identifier:replica; 7, default_parameter; 7, 8; 7, 9; 8, identifier:version; 9, string:""; 10, default_parame...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:_do_download_file; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 4, identifier:self; 5, identifier:dss_file; 6, identifier:fh; 7, identifier:num_retries; 8, identifier:min_delay_seconds; 9, block; 9, 10; 9, 18; 9, 22; 9, 26; 9, 383; 10, expressi...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:output; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:output; 6, default_parameter; 6, 7; 6, 8; 7, identifier:status; 8, None; 9, block; 9, 10; 9, 188; 10, if_statement; 10, 11; 10, 12; 11, identifier:output; 12, block; 12,...
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(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 15; 2, function_name:find_matches; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 4, identifier:text; 5, identifier:collection; 6, default_parameter; 6, 7; 6, 8; 7, identifier:start_only; 8, False; 9, default_parameter; 9, 10; 9, 11; 10, identifier:fuzzy; 11, True;...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 4; 2, function_name:cli_bindings; 3, parameters; 4, block; 4, 5; 4, 26; 4, 71; 4, 112; 4, 169; 4, 225; 4, 281; 4, 332; 5, expression_statement; 5, 6; 6, assignment; 6, 7; 6, 8; 7, identifier:key_binding_manager; 8, call; 8, 9; 8, 10; 9, identifier:KeyBindingManage...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:_get_thumbnail_options; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:context; 6, identifier:instance; 7, block; 7, 8; 7, 16; 7, 20; 7, 30; 7, 40; 7, 54; 7, 79; 7, 90; 7, 202; 8, expression_statement; 8, 9; 9, assignment; 9...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:group_and_sort_statements; 3, parameters; 3, 4; 3, 5; 4, identifier:stmt_list; 5, default_parameter; 5, 6; 5, 7; 6, identifier:ev_totals; 7, None; 8, block; 8, 9; 8, 36; 8, 43; 8, 51; 8, 59; 8, 135; 8, 267; 8, 288; 9, function_definition; 9, 10...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:make_stmt_from_sort_key; 3, parameters; 3, 4; 3, 5; 4, identifier:key; 5, identifier:verb; 6, block; 6, 7; 6, 28; 6, 35; 6, 44; 6, 144; 7, function_definition; 7, 8; 7, 9; 7, 11; 8, function_name:make_agent; 9, parameters; 9, 10; 10, identifier...
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]) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:print_boolean_net; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:out_file; 7, None; 8, block; 8, 9; 8, 13; 8, 41; 8, 45; 8, 259; 8, 267; 8, 291; 9, expression_statement; 9, 10; 10, assignment; 10...
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....
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_get_complex_agents; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:complex_id; 6, block; 6, 7; 6, 11; 6, 20; 6, 146; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:agents; 10, list:[]; 11, expression_sta...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_args; 3, parameters; 3, 4; 4, identifier:node; 5, block; 5, 6; 5, 10; 5, 40; 5, 81; 5, 162; 5, 171; 5, 192; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:arg_roles; 9, dictionary; 10, expression_statement; 10, 11; ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:map_statements; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 6, for_statement; 6, 7; 6, 8; 6, 11; 7, identifier:stmt; 8, attribute; 8, 9; 8, 10; 9, identifier:self; 10, identifier:statements; 11, block; 11, 12; 12, for_statement; 12...
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): ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:agent_texts_with_grounding; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 13; 5, 44; 5, 61; 5, 68; 5, 89; 5, 108; 5, 112; 5, 249; 5, 266; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:allag; 9, call; 9, ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:ungrounded_texts; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 43; 5, 50; 5, 58; 5, 76; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:ungrounded; 9, list_comprehension; 9, 10; 9, 15; 9, 18; 9, 25; 10, s...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:protein_map_from_twg; 3, parameters; 3, 4; 4, identifier:twg; 5, block; 5, 6; 5, 10; 5, 14; 5, 18; 5, 25; 5, 141; 5, 150; 5, 159; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:protein_map; 9, dictionary; 10, expression...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:save_sentences; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:twg; 5, identifier:stmts; 6, identifier:filename; 7, default_parameter; 7, 8; 7, 9; 8, identifier:agent_limit; 9, integer:300; 10, block; 10, 11; 10, 15; 10, 25; 10, 29; 10, ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_get_text_for_grounding; 3, parameters; 3, 4; 3, 5; 4, identifier:stmt; 5, identifier:agent_text; 6, block; 6, 7; 6, 11; 6, 103; 6, 150; 6, 174; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:text; 10, None; 11, try_st...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:map_agents_for_stmt; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:stmt; 6, default_parameter; 6, 7; 6, 8; 7, identifier:do_rename; 8, True; 9, block; 9, 10; 9, 17; 9, 25; 9, 144; 9, 151; 9, 187; 10, expression_statement; 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:map_agent; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:agent; 6, identifier:do_rename; 7, block; 7, 8; 7, 19; 7, 30; 7, 49; 7, 74; 7, 103; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:agent_t...
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 ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:rename_agents; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:stmts; 6, block; 6, 7; 6, 14; 6, 118; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:mapped_stmts; 10, call; 10, 11; 10, 12; 11, identifier:de...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:get_ptms; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:ptm_df; 6, block; 6, 7; 6, 14; 7, expression_statement; 7, 8; 8, call; 8, 9; 8, 12; 9, attribute; 9, 10; 9, 11; 10, identifier:logger; 11, identifier:info; 12, argument_list...
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_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:_process_interaction; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 3, 9; 4, identifier:self; 5, identifier:source_id; 6, identifier:interaction; 7, identifier:text; 8, identifier:pmid; 9, identifier:extra_annotations; 10, block; 10, 11; 10, 21...
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(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_regulate_amounts; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 14; 5, 21; 5, 33; 5, 48; 5, 52; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:p; 9, call; 9, 10; 9, 13; 10, attribute; 10, 11; 10, 12; 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_gef; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 14; 5, 21; 5, 33; 5, 48; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:p; 9, call; 9, 10; 9, 13; 10, attribute; 10, 11; 10, 12; 11, identifier: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')...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_gap; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 14; 5, 21; 5, 33; 5, 48; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:p; 9, call; 9, 10; 9, 13; 10, attribute; 10, 11; 10, 12; 11, identifier: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')...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_get_generic_modification; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:mod_class; 6, block; 6, 7; 6, 13; 6, 40; 6, 48; 6, 56; 6, 69; 6, 76; 6, 88; 6, 103; 6, 107; 6, 377; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_extract_mod_from_feature; 3, parameters; 3, 4; 4, identifier:mf; 5, block; 5, 6; 5, 14; 5, 21; 5, 33; 5, 37; 5, 76; 5, 96; 5, 102; 5, 110; 5, 207; 5, 217; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:mf_type; 9, call...
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:] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_activations; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 5, 28; 5, 39; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:act_events; 9, call; 9, 10; 9, 15; 10, attribute; 10, 11; 10, 14; 11, attribu...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_activations_causal; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:ccs; 9, call; 9, 10; 9, 15; 10, attribute; 10, 11; 10, 14; 11, attribute; 11, 12; 11...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_activations_stimulate; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:stim_events; 9, call; 9, 10; 9, 15; 10, attribute; 10, 11; 10, 14; 11, attribute;...
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'...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_degradations; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:deg_events; 9, call; 9, 10; 9, 15; 10, attribute; 10, 11; 10, 14; 11, attribute; 11, 12; 1...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_complexes; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 5, 28; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:bind_events; 9, call; 9, 10; 9, 15; 10, attribute; 10, 11; 10, 14; 11, attribute; 11, ...
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")...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_modifications_indirect; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 17; 5, 22; 5, 129; 5, 236; 5, 243; 5, 250; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:mod_event_types; 9, call; 9, 10; 9, 11; 1...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:replace_activities; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 13; 5, 17; 5, 47; 5, 53; 5, 272; 6, expression_statement; 6, 7; 7, call; 7, 8; 7, 11; 8, attribute; 8, 9; 8, 10; 9, identifier:logger; 10, identifier:debug; 11, arg...
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 ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:add_reverse_effects; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 10; 5, 14; 5, 18; 5, 22; 5, 208; 5, 212; 5, 276; 5, 303; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:pos_mod_sites; 9, dictionary; 10, ...
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]...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:map_sites; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:stmts; 6, block; 6, 7; 6, 11; 6, 15; 6, 49; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:valid_statements; 10, list:[]; 11, expression_statement...
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(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_map_agent_sites; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:agent; 6, block; 6, 7; 6, 21; 6, 28; 6, 32; 6, 105; 7, if_statement; 7, 8; 7, 16; 8, boolean_operator:or; 8, 9; 8, 12; 9, comparison_operator:is; 9, 10; 9, 11; 10, i...
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) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:_map_agent_mod; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:agent; 6, identifier:mod_condition; 7, block; 7, 8; 7, 15; 7, 32; 7, 47; 7, 79; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:up_id;...
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 = \ ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_get_graph_reductions; 3, parameters; 3, 4; 4, identifier:graph; 5, block; 5, 6; 5, 60; 5, 64; 5, 80; 5, 92; 5, 131; 6, function_definition; 6, 7; 6, 8; 6, 11; 7, function_name:frontier; 8, parameters; 8, 9; 8, 10; 9, identifier:g; 10, identifi...
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 = {} ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:gather_implicit_activities; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 6, for_statement; 6, 7; 6, 8; 6, 11; 7, identifier:stmt; 8, attribute; 8, 9; 8, 10; 9, identifier:self; 10, identifier:statements; 11, block; 11, 12; 12, if_st...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:reduce_activities; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 6, for_statement; 6, 7; 6, 8; 6, 11; 7, identifier:stmt; 8, attribute; 8, 9; 8, 10; 9, identifier:self; 10, identifier:statements; 11, block; 11, 12; 11, 20; 11, 70; 12...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:infer_activations; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 10; 5, 18; 5, 26; 5, 183; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:linked_stmts; 9, list:[]; 10, expression_statement; 10, 11; 11, as...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:infer_active_forms; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 10; 5, 248; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:linked_stmts; 9, list:[]; 10, for_statement; 10, 11; 10, 12; 10, 17; 11, identi...
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): ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:infer_modifications; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 10; 5, 188; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:linked_stmts; 9, list:[]; 10, for_statement; 10, 11; 10, 12; 10, 17; 11, ident...
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 ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:score_evidence_list; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:evidences; 6, block; 6, 7; 6, 121; 6, 139; 6, 156; 6, 163; 6, 170; 6, 179; 7, function_definition; 7, 8; 7, 9; 7, 11; 8, function_name:_score; 9, parameters; 9, 1...
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] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:update_probs; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 10; 5, 20; 5, 78; 5, 82; 5, 153; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:syst_error; 9, float:0.05; 10, expression_statement; 10, 11; 11, ...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:set_hierarchy_probs; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:statements; 6, block; 6, 7; 6, 76; 6, 120; 6, 157; 6, 164; 6, 169; 6, 176; 7, function_definition; 7, 8; 7, 9; 7, 11; 8, function_name:build_hierarchy_graph; 9, p...
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) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:get_statements; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:reprocess; 7, False; 8, block; 8, 9; 8, 219; 9, if_statement; 9, 10; 9, 17; 9, 208; 10, boolean_operator:or; 10, 11; 10, 16; 11, comp...
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 =...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 15; 2, function_name:read; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 4, identifier:self; 5, identifier:read_list; 6, default_parameter; 6, 7; 6, 8; 7, identifier:verbose; 8, False; 9, default_parameter; 9, 10; 9, 11; 10, identifier:log; 11, False; 12, default_...
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 = [] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:read_pmid_sentences; 3, parameters; 3, 4; 3, 5; 4, identifier:pmid_sentences; 5, dictionary_splat_pattern; 5, 6; 6, identifier:drum_args; 7, block; 7, 8; 7, 30; 7, 40; 7, 44; 7, 48; 7, 224; 7, 237; 8, function_definition; 8, 9; 8, 10; 8, 13; 9,...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 15; 2, function_name:graph_query; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 4, identifier:kind; 5, identifier:source; 6, default_parameter; 6, 7; 6, 8; 7, identifier:target; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:neighbor_limit; 11, intege...
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', ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:set_CCLE_context; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:cell_types; 6, block; 6, 7; 6, 13; 6, 26; 6, 39; 6, 49; 6, 95; 6, 279; 6, 286; 6, 296; 7, expression_statement; 7, 8; 8, call; 8, 9; 8, 12; 9, attribute; 9, 10; 9, 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_get_node_key; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:node_dict_item; 6, block; 6, 7; 6, 19; 6, 31; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:s; 10, call; 10, 11; 10, 12; 11, identifier:tuple...
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)
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_get_node_groups; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 28; 5, 102; 5, 112; 5, 140; 5, 160; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:node_dict; 9, dictionary_comprehension; 9, 10; 9, 23; 10, ...
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[...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_group_edges; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 12; 5, 234; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:edges_to_add; 9, list:[[], []]; 9, 10; 9, 11; 10, list:[]; 11, list:[]; 12, for_statem...
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'] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 40; 2, function_name:get_statements; 3, parameters; 3, 4; 3, 7; 3, 10; 3, 13; 3, 16; 3, 19; 3, 22; 3, 25; 3, 28; 3, 31; 3, 34; 3, 37; 4, default_parameter; 4, 5; 4, 6; 5, identifier:subject; 6, None; 7, default_parameter; 7, 8; 7, 9; 8, identifier:object; 9, None;...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:get_statements_by_hash; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:hash_list; 5, default_parameter; 5, 6; 5, 7; 6, identifier:ev_limit; 7, integer:100; 8, default_parameter; 8, 9; 8, 10; 9, identifier:best_first; 10, True; 11, defau...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:get_statements_for_paper; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:ids; 5, default_parameter; 5, 6; 5, 7; 6, identifier:ev_limit; 7, integer:10; 8, default_parameter; 8, 9; 8, 10; 9, identifier:best_first; 10, True; 11, def...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:get_statement_queries; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts; 5, dictionary_splat_pattern; 5, 6; 6, identifier:params; 7, block; 7, 8; 7, 61; 7, 65; 7, 72; 7, 79; 7, 211; 8, function_definition; 8, 9; 8, 10; 8, 12; 9, function_name:pic...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:make_statement; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:action; 6, identifier:mention; 7, block; 7, 8; 7, 23; 7, 30; 7, 34; 7, 102; 7, 108; 7, 114; 7, 122; 7, 130; 7, 158; 7, 170; 7, 182; 8, expression_statement; 8, 9...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:directly_or_indirectly_related; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 3, 9; 3, 10; 4, identifier:self; 5, identifier:ns1; 6, identifier:id1; 7, identifier:ns2; 8, identifier:id2; 9, identifier:closure_dict; 10, identifier:relation_func;...
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(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:analyze_db_reading; 3, parameters; 3, 4; 3, 5; 4, identifier:job_prefix; 5, default_parameter; 5, 6; 5, 7; 6, identifier:reading_queue; 7, string:'run_db_reading_queue'; 8, block; 8, 9; 8, 17; 8, 21; 8, 25; 8, 29; 8, 66; 8, 80; 8, 98; 8, 108; 8...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:get_create_base_agent; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:agent; 6, block; 6, 7; 6, 50; 6, 216; 6, 236; 7, try_statement; 7, 8; 7, 22; 8, block; 8, 9; 9, expression_statement; 9, 10; 10, assignment; 10, 11; 10, 12; 11,...
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: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:classify_nodes; 3, parameters; 3, 4; 3, 5; 4, identifier:graph; 5, identifier:hub; 6, block; 6, 7; 6, 18; 6, 140; 6, 144; 6, 227; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:node_stats; 10, call; 10, 11; 10, 12; 11,...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:doi_query; 3, parameters; 3, 4; 3, 5; 4, identifier:pmid; 5, default_parameter; 5, 6; 5, 7; 6, identifier:search_limit; 7, integer:10; 8, block; 8, 9; 8, 22; 8, 47; 8, 53; 8, 68; 8, 77; 8, 93; 8, 102; 8, 117; 8, 126; 8, 141; 8, 145; 8, 155; 8, ...
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' ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_agent_rule_str; 3, parameters; 3, 4; 4, identifier:agent; 5, block; 5, 6; 5, 16; 5, 251; 5, 260; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:rule_str_list; 9, list:[_n(agent.name)]; 9, 10; 10, call; 10, 11; 10, 1...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:grounded_monomer_patterns; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:model; 5, identifier:agent; 6, default_parameter; 6, 7; 6, 8; 7, identifier:ignore_activities; 8, False; 9, block; 9, 10; 9, 43; 9, 47; 9, 126; 9, 141; 9, 145; 9, 347; 9,...
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 ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_site_pattern; 3, parameters; 3, 4; 4, identifier:agent; 5, block; 5, 6; 5, 18; 5, 22; 5, 57; 5, 141; 5, 196; 5, 214; 5, 252; 6, if_statement; 6, 7; 6, 15; 7, not_operator; 7, 8; 8, call; 8, 9; 8, 10; 9, identifier:isinstance; 10, argument_l...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:make_model; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:policies; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:initial_conditions; 10, True; 11, default_parame...
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...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_modifications; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 10; 5, 21; 5, 27; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:qstr; 9, string:"$.events.frames[(@.type is 'protein-modification')]"; 10, ...
def get_modifications(self): qstr = "$.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...