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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, 10; 5, 21; 5, 25; 5, 37; 5, 41; 5, 52; 5, 64; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:qstr; 9, string:"$.events.frames[(@.type is ...
def get_regulate_amounts(self): qstr = "$.events.frames[(@.type is 'transcription')]" res = self.tree.execute(qstr) all_res = [] if res is not None: all_res += list(res) qstr = "$.events.frames[(@.type is 'amount')]" res = self.tree.execute(qstr) if re...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_get_entity_coordinates; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:entity_term; 6, block; 6, 7; 6, 16; 6, 23; 6, 29; 6, 40; 6, 47; 6, 61; 6, 70; 6, 77; 6, 86; 6, 93; 6, 102; 6, 111; 6, 122; 6, 131; 6, 140; 6, 151; 7, expressi...
def _get_entity_coordinates(self, entity_term): sent_id = entity_term.get('sentence') if sent_id is None: return None qstr = "$.sentences.frames[(@.frame_id is \'%s')]" % sent_id res = self.tree.execute(qstr) if res is None: return None try: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:get_evidence; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:relation; 6, block; 6, 7; 6, 16; 6, 20; 6, 24; 6, 211; 6, 226; 6, 249; 6, 253; 6, 262; 6, 271; 6, 280; 6, 295; 6, 312; 6, 333; 7, expression_statement; 7, 8; 8, assignme...
def get_evidence(self, relation): provenance = relation.get('provenance') text = None context = None if provenance: sentence_tag = provenance[0].get('sentence') if sentence_tag and '@id' in sentence_tag: sentence_id = sentence_tag['@id'] ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_groundings; 3, parameters; 3, 4; 4, identifier:entity; 5, block; 5, 6; 5, 77; 5, 86; 5, 95; 5, 101; 5, 160; 6, function_definition; 6, 7; 6, 8; 6, 10; 7, function_name:get_grounding_entries; 8, parameters; 8, 9; 9, identifier:grounding; 10,...
def get_groundings(entity): def get_grounding_entries(grounding): if not grounding: return None entries = [] values = grounding.get('values', []) if values: for entry in values: ont_concept = entry.get('ontologyC...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:make_model; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:grounding_ontology; 7, string:'UN'; 8, default_parameter; 8, 9; 8, 10; 9, identifier:grounding_threshold; 10, None; 11, block; 11,...
def make_model(self, grounding_ontology='UN', grounding_threshold=None): if grounding_threshold is not None: self.grounding_threshold = grounding_threshold self.grounding_ontology = grounding_ontology statements = [stmt for stmt in self.statements if isinstance(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:process_directory_statements_sorted_by_pmid; 3, parameters; 3, 4; 4, identifier:directory_name; 5, block; 5, 6; 5, 13; 5, 23; 5, 46; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:s_dict; 9, call; 9, 10; 9, 11; 10, iden...
def process_directory_statements_sorted_by_pmid(directory_name): s_dict = defaultdict(list) mp = process_directory(directory_name, lazy=True) for statement in mp.iter_statements(): s_dict[statement.evidence[0].pmid].append(statement) return s_dict
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:process_file_sorted_by_pmid; 3, parameters; 3, 4; 4, identifier:file_name; 5, block; 5, 6; 5, 13; 5, 23; 5, 46; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:s_dict; 9, call; 9, 10; 9, 11; 10, identifier:defaultdict; 1...
def process_file_sorted_by_pmid(file_name): s_dict = defaultdict(list) mp = process_file(file_name, lazy=True) for statement in mp.iter_statements(): s_dict[statement.evidence[0].pmid].append(statement) return s_dict
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:extract_context; 3, parameters; 3, 4; 3, 5; 4, identifier:annotations; 5, identifier:annot_manager; 6, block; 6, 7; 6, 71; 6, 77; 6, 85; 6, 115; 6, 139; 6, 217; 6, 225; 7, function_definition; 7, 8; 7, 9; 7, 12; 8, function_name:get_annot; 9, p...
def extract_context(annotations, annot_manager): def get_annot(annotations, key): val = annotations.pop(key, None) if val: val_list = [v for v, tf in val.items() if tf] if len(val_list) > 1: logger.warning('More than one "%s" in annotations' % key) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_format_evidence_text; 3, parameters; 3, 4; 4, identifier:stmt; 5, block; 5, 6; 5, 80; 5, 84; 5, 308; 6, function_definition; 6, 7; 6, 8; 6, 10; 7, function_name:get_role; 8, parameters; 8, 9; 9, identifier:ag_ix; 10, block; 10, 11; 11, if_stat...
def _format_evidence_text(stmt): def get_role(ag_ix): if isinstance(stmt, Complex) or \ isinstance(stmt, SelfModification) or \ isinstance(stmt, ActiveForm) or isinstance(stmt, Conversion) or\ isinstance(stmt, Translocation): return 'other...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:get_full_text; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:paper_id; 5, identifier:idtype; 6, default_parameter; 6, 7; 6, 8; 7, identifier:preferred_content_type; 8, string:'text/xml'; 9, block; 9, 10; 9, 26; 9, 34; 9, 43; 9, 52; 9, 61; 9, 8...
def get_full_text(paper_id, idtype, preferred_content_type='text/xml'): if preferred_content_type not in \ ('text/xml', 'text/plain', 'application/pdf'): raise ValueError("preferred_content_type must be one of 'text/xml', " "'text/plain', or 'application/pdf'.") ids ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:process_text; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:text; 5, default_parameter; 5, 6; 5, 7; 6, identifier:pmid; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:python2_path; 10, None; 11, block; 11, 12; 11, 65; 11, 79; 11, 9...
def process_text(text, pmid=None, python2_path=None): if python2_path is None: for path in os.environ["PATH"].split(os.pathsep): proposed_python2_path = os.path.join(path, 'python2.7') if os.path.isfile(proposed_python2_path): python2_path = proposed_python2_path ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:run_on_text; 3, parameters; 3, 4; 3, 5; 4, identifier:text; 5, identifier:python2_path; 6, block; 6, 7; 6, 14; 6, 135; 6, 151; 6, 155; 6, 166; 6, 181; 6, 368; 6, 375; 6, 382; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identif...
def run_on_text(text, python2_path): tees_path = get_config('TEES_PATH') if tees_path is None: for cpath in tees_candidate_paths: cpath = os.path.expanduser(cpath) if os.path.isdir(cpath): has_expected_files = True for f in tees_installation_files:...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:extract_output; 3, parameters; 3, 4; 4, identifier:output_dir; 5, block; 5, 6; 5, 18; 5, 27; 5, 56; 5, 62; 5, 91; 5, 102; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:sentences_glob; 9, call; 9, 10; 9, 15; 10, attribu...
def extract_output(output_dir): sentences_glob = os.path.join(output_dir, '*-preprocessed.xml.gz') sentences_filename_candidates = glob.glob(sentences_glob) if len(sentences_filename_candidates) != 1: m = 'Looking for exactly one file matching %s but found %d matches' raise Exception(m % ( ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_drug_inhibition_stmts; 3, parameters; 3, 4; 4, identifier:drug; 5, block; 5, 6; 5, 17; 5, 28; 5, 61; 5, 71; 5, 87; 5, 94; 5, 100; 5, 107; 5, 115; 5, 122; 5, 138; 5, 142; 5, 270; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, i...
def get_drug_inhibition_stmts(drug): chebi_id = drug.db_refs.get('CHEBI') mesh_id = drug.db_refs.get('MESH') if chebi_id: drug_chembl_id = chebi_client.get_chembl_id(chebi_id) elif mesh_id: drug_chembl_id = get_chembl_id(mesh_id) else: logger.error('Drug missing ChEBI or MESH...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:merge_groundings; 3, parameters; 3, 4; 4, identifier:stmts_in; 5, block; 5, 6; 5, 117; 5, 293; 5, 297; 5, 323; 6, function_definition; 6, 7; 6, 8; 6, 10; 7, function_name:surface_grounding; 8, parameters; 8, 9; 9, identifier:stmt; 10, block; 10...
def merge_groundings(stmts_in): def surface_grounding(stmt): for idx, concept in enumerate(stmt.agent_list()): if concept is None: continue aggregate_groundings = {} for ev in stmt.evidence: if 'agents' in ev.annotations: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:merge_deltas; 3, parameters; 3, 4; 4, identifier:stmts_in; 5, block; 5, 6; 5, 10; 5, 298; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:stmts_out; 9, list:[]; 10, for_statement; 10, 11; 10, 12; 10, 13; 11, identifier:s...
def merge_deltas(stmts_in): stmts_out = [] for stmt in stmts_in: if not isinstance(stmt, Influence): stmts_out.append(stmt) continue deltas = {} for role in ('subj', 'obj'): for info in ('polarity', 'adjectives'): key = (role, info) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:map_sequence; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts_in; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 17; 7, 29; 7, 36; 7, 58; 7, 69; 7, 73; 7, 106; 7, 112; 7, 124; 7, 133; 7, 142; 7, 144; 8, import_from_s...
def map_sequence(stmts_in, **kwargs): from indra.preassembler.sitemapper import SiteMapper, default_site_map logger.info('Mapping sites on %d statements...' % len(stmts_in)) kwarg_list = ['do_methionine_offset', 'do_orthology_mapping', 'do_isoform_mapping'] sm = SiteMapper(default_site...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:filter_by_type; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:stmts_in; 5, identifier:stmt_type; 6, dictionary_splat_pattern; 6, 7; 7, identifier:kwargs; 8, block; 8, 9; 8, 19; 8, 39; 8, 74; 8, 86; 8, 95; 8, 104; 9, expression_statement; 9, 10...
def filter_by_type(stmts_in, stmt_type, **kwargs): invert = kwargs.get('invert', False) logger.info('Filtering %d statements for type %s%s...' % (len(stmts_in), 'not ' if invert else '', stmt_type.__name__)) if not invert: stmts_out = [st for st in stmts_in if isinst...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:filter_grounded_only; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts_in; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 18; 7, 30; 7, 34; 7, 43; 7, 127; 7, 139; 7, 148; 7, 157; 8, expression_statement; 8, 9; 9, assi...
def filter_grounded_only(stmts_in, **kwargs): remove_bound = kwargs.get('remove_bound', False) logger.info('Filtering %d statements for grounded agents...' % len(stmts_in)) stmts_out = [] score_threshold = kwargs.get('score_threshold') for st in stmts_in: grounded = True ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:filter_genes_only; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts_in; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 18; 7, 27; 7, 39; 7, 43; 7, 120; 7, 132; 7, 141; 7, 150; 8, expression_statement; 8, 9; 9, assignm...
def filter_genes_only(stmts_in, **kwargs): remove_bound = 'remove_bound' in kwargs and kwargs['remove_bound'] specific_only = kwargs.get('specific_only') logger.info('Filtering %d statements for ones containing genes only...' % len(stmts_in)) stmts_out = [] for st in stmts_in: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:filter_gene_list; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 4, identifier:stmts_in; 5, identifier:gene_list; 6, identifier:policy; 7, default_parameter; 7, 8; 7, 9; 8, identifier:allow_families; 9, False; 10, dictionary_splat_pattern; 10, ...
def filter_gene_list(stmts_in, gene_list, policy, allow_families=False, **kwargs): invert = kwargs.get('invert', False) remove_bound = kwargs.get('remove_bound', False) if policy not in ('one', 'all'): logger.error('Policy %s is invalid, not applying filter.' % policy) else:...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:filter_by_db_refs; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 4, identifier:stmts_in; 5, identifier:namespace; 6, identifier:values; 7, identifier:policy; 8, dictionary_splat_pattern; 8, 9; 9, identifier:kwargs; 10, block; 10, 11; 10, 21; 10...
def filter_by_db_refs(stmts_in, namespace, values, policy, **kwargs): invert = kwargs.get('invert', False) match_suffix = kwargs.get('match_suffix', False) if policy not in ('one', 'all'): logger.error('Policy %s is invalid, not applying filter.' % policy) return else: name_str =...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:filter_human_only; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts_in; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 14; 7, 33; 7, 42; 7, 54; 7, 58; 7, 91; 7, 155; 7, 167; 7, 176; 8, import_from_statement; 8, 9; 8, ...
def filter_human_only(stmts_in, **kwargs): from indra.databases import uniprot_client if 'remove_bound' in kwargs and kwargs['remove_bound']: remove_bound = True else: remove_bound = False dump_pkl = kwargs.get('save') logger.info('Filtering %d statements for human genes only...' % ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:filter_direct; 3, parameters; 3, 4; 3, 5; 4, identifier:stmts_in; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 60; 7, 72; 7, 76; 7, 93; 7, 105; 7, 114; 7, 123; 8, function_definition; 8, 9; 8, 10; 8, 12; 9, functi...
def filter_direct(stmts_in, **kwargs): def get_is_direct(stmt): any_indirect = False for ev in stmt.evidence: if ev.epistemics.get('direct') is True: return True elif ev.epistemics.get('direct') is False: any_indirect = True if any_indi...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:filter_evidence_source; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:stmts_in; 5, identifier:source_apis; 6, default_parameter; 6, 7; 6, 8; 7, identifier:policy; 8, string:'one'; 9, dictionary_splat_pattern; 9, 10; 10, identifier:kwarg...
def filter_evidence_source(stmts_in, source_apis, policy='one', **kwargs): logger.info('Filtering %d statements to evidence source "%s" of: %s...' % (len(stmts_in), policy, ', '.join(source_apis))) stmts_out = [] for st in stmts_in: sources = set([ev.source_api for ev in st.evidence]...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:filter_inconsequential_mods; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:stmts_in; 5, default_parameter; 5, 6; 5, 7; 6, identifier:whitelist; 7, None; 8, dictionary_splat_pattern; 8, 9; 9, identifier:kwargs; 10, block; 10, 11; 10, 20; 10, 3...
def filter_inconsequential_mods(stmts_in, whitelist=None, **kwargs): if whitelist is None: whitelist = {} logger.info('Filtering %d statements to remove' % len(stmts_in) + ' inconsequential modifications...') states_used = whitelist for stmt in stmts_in: for agent in stmt...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:filter_inconsequential_acts; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:stmts_in; 5, default_parameter; 5, 6; 5, 7; 6, identifier:whitelist; 7, None; 8, dictionary_splat_pattern; 8, 9; 9, identifier:kwargs; 10, block; 10, 11; 10, 20; 10, 3...
def filter_inconsequential_acts(stmts_in, whitelist=None, **kwargs): if whitelist is None: whitelist = {} logger.info('Filtering %d statements to remove' % len(stmts_in) + ' inconsequential activations...') states_used = whitelist for stmt in stmts_in: for agent in stmt.a...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:render_stmt_graph; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:statements; 5, default_parameter; 5, 6; 5, 7; 6, identifier:reduce; 7, True; 8, default_parameter; 8, 9; 8, 10; 9, identifier:english; 10, False; 11, default_param...
def render_stmt_graph(statements, reduce=True, english=False, rankdir=None, agent_style=None): from indra.assemblers.english import EnglishAssembler if agent_style is None: agent_style = {'color': 'lightgray', 'style': 'filled', 'fontname': 'arial'} nodes...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:flatten_stmts; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 13; 5, 40; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:total_stmts; 9, call; 9, 10; 9, 11; 10, identifier:set; 11, argument_list; 11, 12; 12...
def flatten_stmts(stmts): total_stmts = set(stmts) for stmt in stmts: if stmt.supported_by: children = flatten_stmts(stmt.supported_by) total_stmts = total_stmts.union(children) return list(total_stmts)
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:combine_duplicate_stmts; 3, parameters; 3, 4; 4, identifier:stmts; 5, block; 5, 6; 5, 38; 5, 42; 5, 329; 6, function_definition; 6, 7; 6, 8; 6, 10; 7, function_name:_ev_keys; 8, parameters; 8, 9; 9, identifier:sts; 10, block; 10, 11; 10, 15; 10...
def combine_duplicate_stmts(stmts): def _ev_keys(sts): ev_keys = [] for stmt in sts: for ev in stmt.evidence: ev_keys.append(ev.matches_key()) return ev_keys unique_stmts = [] for _, duplicates in Preassembler._get_stmt_matc...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:_get_stmt_by_group; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:self; 5, identifier:stmt_type; 6, identifier:stmts_this_type; 7, identifier:eh; 8, block; 8, 9; 8, 19; 8, 29; 8, 39; 8, 49; 8, 59; 8, 366; 8, 407; 8, 448; 9, expression_st...
def _get_stmt_by_group(self, stmt_type, stmts_this_type, eh): stmt_by_first = collections.defaultdict(lambda: []) stmt_by_second = collections.defaultdict(lambda: []) none_first = collections.defaultdict(lambda: []) none_second = collections.defaultdict(lambda: []) stmt_by_group ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:combine_related; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:return_toplevel; 7, True; 8, default_parameter; 8, 9; 8, 10; 9, identifier:poolsize; 10, None; 11, default_parameter; ...
def combine_related(self, return_toplevel=True, poolsize=None, size_cutoff=100): if self.related_stmts is not None: if return_toplevel: return self.related_stmts else: assert self.unique_stmts is not None return self...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:find_contradicts; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 14; 5, 24; 5, 49; 5, 57; 5, 67; 5, 73; 5, 79; 5, 83; 5, 191; 5, 197; 5, 247; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:eh; 9, subscript;...
def find_contradicts(self): eh = self.hierarchies['entity'] stmts_by_type = collections.defaultdict(lambda: []) for idx, stmt in enumerate(self.stmts): stmts_by_type[indra_stmt_type(stmt)].append((idx, stmt)) pos_stmts = AddModification.__subclasses__() neg_stmts = [m...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:get_text_content_for_pmids; 3, parameters; 3, 4; 4, identifier:pmids; 5, block; 5, 6; 5, 21; 5, 25; 5, 62; 5, 66; 5, 72; 5, 109; 5, 120; 5, 124; 5, 151; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:pmc_pmids; 9, call;...
def get_text_content_for_pmids(pmids): pmc_pmids = set(pmc_client.filter_pmids(pmids, source_type='fulltext')) pmc_ids = [] for pmid in pmc_pmids: pmc_id = pmc_client.id_lookup(pmid, idtype='pmid')['pmcid'] if pmc_id: pmc_ids.append(pmc_id) else: pmc_pmids.dis...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:export_sbgn; 3, parameters; 3, 4; 4, identifier:model; 5, block; 5, 6; 5, 10; 5, 14; 5, 20; 5, 27; 5, 36; 5, 41; 5, 47; 5, 51; 5, 92; 5, 314; 5, 327; 6, import_statement; 6, 7; 7, dotted_name; 7, 8; 7, 9; 8, identifier:lxml; 9, identifier:etree...
def export_sbgn(model): import lxml.etree import lxml.builder from pysb.bng import generate_equations from indra.assemblers.sbgn import SBGNAssembler logger.info('Generating reaction network with BNG for SBGN export. ' + 'This could take a long time.') generate_equations(model) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:get_profile_data; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:study_id; 5, identifier:gene_list; 6, identifier:profile_filter; 7, default_parameter; 7, 8; 7, 9; 8, identifier:case_set_filter; 9, None; 10, block; 10, 11; 10, 19; 10, 32...
def get_profile_data(study_id, gene_list, profile_filter, case_set_filter=None): genetic_profiles = get_genetic_profiles(study_id, profile_filter) if genetic_profiles: genetic_profile = genetic_profiles[0] else: return {} gene_list_str = ','.join(gene_list) case_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:print_cx; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:pretty; 7, True; 8, block; 8, 9; 8, 64; 8, 70; 8, 80; 8, 94; 8, 100; 8, 123; 8, 141; 8, 154; 8, 171; 8, 197; 9, function_definition; 9, 10;...
def print_cx(self, pretty=True): def _get_aspect_metadata(aspect): count = len(self.cx.get(aspect)) if self.cx.get(aspect) else 0 if not count: return None data = {'name': aspect, 'idCounter': self._id_counter, 'consiste...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:set_context; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:cell_type; 6, block; 6, 7; 6, 21; 6, 32; 6, 43; 6, 52; 6, 61; 6, 79; 6, 97; 6, 105; 6, 122; 6, 126; 6, 241; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, ...
def set_context(self, cell_type): node_names = [node['n'] for node in self.cx['nodes']] res_expr = context_client.get_protein_expression(node_names, [cell_type]) res_mut = context_client.get_mutations(node_names, ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:get_ids; 3, parameters; 3, 4; 3, 5; 4, identifier:search_term; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 18; 7, 25; 7, 44; 7, 51; 7, 59; 7, 66; 7, 92; 7, 132; 7, 146; 7, 155; 7, 162; 7, 172; 7, 195; 8, expressi...
def get_ids(search_term, **kwargs): use_text_word = kwargs.pop('use_text_word', True) if use_text_word: search_term += '[tw]' params = {'term': search_term, 'retmax': 100000, 'retstart': 0, 'db': 'pubmed', 'sort': 'pub+date'} params.update(...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:get_ids_for_gene; 3, parameters; 3, 4; 3, 5; 4, identifier:hgnc_name; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 17; 7, 27; 7, 36; 7, 46; 7, 59; 7, 66; 7, 74; 7, 81; 7, 107; 7, 116; 7, 123; 7, 139; 8, expression...
def get_ids_for_gene(hgnc_name, **kwargs): hgnc_id = hgnc_client.get_hgnc_id(hgnc_name) if hgnc_id is None: raise ValueError('Invalid HGNC name.') entrez_id = hgnc_client.get_entrez_id(hgnc_id) if entrez_id is None: raise ValueError('Entrez ID not found in HGNC table.') params = {'db...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:get_im; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:force_update; 7, False; 8, block; 8, 9; 8, 21; 8, 32; 8, 123; 8, 134; 8, 289; 8, 310; 8, 317; 8, 330; 8, 342; 8, 408; 9, if_statement; 9, 10;...
def get_im(self, force_update=False): if self._im and not force_update: return self._im if not self.model: raise Exception("Cannot get influence map if there is no model.") def add_obs_for_agent(agent): obj_mps = list(pa.grounded_monomer_patterns(self.model, a...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:check_statement; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:self; 5, identifier:stmt; 6, default_parameter; 6, 7; 6, 8; 7, identifier:max_paths; 8, integer:1; 9, default_parameter; 9, 10; 9, 11; 10, identifier:max_path_length; 11, in...
def check_statement(self, stmt, max_paths=1, max_path_length=5): self.get_im() if not isinstance(stmt, (Modification, RegulateAmount, RegulateActivity, Influence)): return PathResult(False, 'STATEMENT_TYPE_NOT_HANDLED', max_paths...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 16; 2, function_name:score_paths; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 4, identifier:self; 5, identifier:paths; 6, identifier:agents_values; 7, default_parameter; 7, 8; 7, 9; 8, identifier:loss_of_function; 9, False; 10, default_parameter; 10, 11; ...
def score_paths(self, paths, agents_values, loss_of_function=False, sigma=0.15, include_final_node=False): obs_model = lambda x: scipy.stats.norm(x, sigma) obs_dict = {} for ag, val in agents_values.items(): obs_list = self.agent_to_obs[ag] if obs_list...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:prune_influence_map; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 14; 5, 21; 5, 25; 5, 63; 5, 70; 5, 78; 5, 85; 5, 89; 5, 111; 5, 118; 5, 130; 5, 144; 5, 156; 5, 160; 5, 253; 5, 265; 6, expression_statement; 6, 7; 7, assignment; ...
def prune_influence_map(self): im = self.get_im() logger.info('Removing self loops') edges_to_remove = [] for e in im.edges(): if e[0] == e[1]: logger.info('Removing self loop: %s', e) edges_to_remove.append((e[0], e[1])) im.remove_edge...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:send_request; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:ndex_service_url; 5, identifier:params; 6, default_parameter; 6, 7; 6, 8; 7, identifier:is_json; 8, True; 9, default_parameter; 9, 10; 9, 11; 10, identifier:use_get; 11, False;...
def send_request(ndex_service_url, params, is_json=True, use_get=False): if use_get: res = requests.get(ndex_service_url, json=params) else: res = requests.post(ndex_service_url, json=params) status = res.status_code if status == 200: if is_json: return res.json() ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:get_hash; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:shallow; 7, True; 8, default_parameter; 8, 9; 8, 10; 9, identifier:refresh; 10, False; 11, block; 11, 12; 11, 114; 12, if_statement;...
def get_hash(self, shallow=True, refresh=False): if shallow: if not hasattr(self, '_shallow_hash') or self._shallow_hash is None\ or refresh: self._shallow_hash = make_hash(self.matches_key(), 14) ret = self._shallow_hash else: if n...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:to_json; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:use_sbo; 7, False; 8, block; 8, 9; 8, 18; 8, 31; 8, 55; 8, 64; 8, 72; 8, 97; 8, 107; 8, 129; 8, 151; 8, 200; 8, 220; 9, expression_statement...
def to_json(self, use_sbo=False): stmt_type = type(self).__name__ all_stmts = [self] + self.supports + self.supported_by for st in all_stmts: if not hasattr(st, 'uuid'): st.uuid = '%s' % uuid.uuid4() json_dict = _o(type=stmt_type) json_dict['belief'] =...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:to_graph; 3, parameters; 3, 4; 4, identifier:self; 5, block; 5, 6; 5, 225; 5, 233; 5, 241; 5, 253; 6, function_definition; 6, 7; 6, 8; 6, 12; 7, function_name:json_node; 8, parameters; 8, 9; 8, 10; 8, 11; 9, identifier:graph; 10, identifier:ele...
def to_graph(self): def json_node(graph, element, prefix): if not element: return None node_id = '|'.join(prefix) if isinstance(element, list): graph.add_node(node_id, label='') for i, sub_element in enumerate(element): ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:get_bel_stmts; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:filter; 7, False; 8, block; 8, 9; 8, 24; 8, 121; 8, 147; 9, if_statement; 9, 10; 9, 15; 10, comparison_operator:is; 10, 11; 10, 14; 11...
def get_bel_stmts(self, filter=False): if self.basename is not None: bel_stmt_path = '%s_bel_stmts.pkl' % self.basename if self.basename is not None and os.path.isfile(bel_stmt_path): logger.info("Loading BEL statements from %s" % bel_stmt_path) with open(bel_stmt_pat...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:get_biopax_stmts; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:filter; 7, False; 8, default_parameter; 8, 9; 8, 10; 9, identifier:query; 10, string:'pathsbetween'; 11, default_para...
def get_biopax_stmts(self, filter=False, query='pathsbetween', database_filter=None): if self.basename is not None: biopax_stmt_path = '%s_biopax_stmts.pkl' % self.basename biopax_ras_owl_path = '%s_pc_pathsbetween.owl' % self.basename if self.basename is...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:run_preassembly; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:stmts; 6, default_parameter; 6, 7; 6, 8; 7, identifier:print_summary; 8, True; 9, block; 9, 10; 9, 18; 9, 25; 9, 31; 9, 38; 9, 51; 9, 55; 9, 87; 9, 93; 9, 101; ...
def run_preassembly(self, stmts, print_summary=True): pa1 = Preassembler(hierarchies, stmts) logger.info("Combining duplicates") pa1.combine_duplicates() logger.info("Mapping sites") (valid, mapped) = sm.map_sites(pa1.unique_stmts) correctly_mapped_stmts = [] for ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_get_grounding; 3, parameters; 3, 4; 4, identifier:entity; 5, block; 5, 6; 5, 15; 5, 24; 5, 30; 5, 100; 5, 117; 5, 121; 5, 146; 5, 186; 5, 195; 6, expression_statement; 6, 7; 7, assignment; 7, 8; 7, 9; 8, identifier:db_refs; 9, dictionary; 9, 1...
def _get_grounding(entity): db_refs = {'TEXT': entity['text']} groundings = entity.get('grounding') if not groundings: return db_refs def get_ont_concept(concept): if concept.startswith('/'): concept = concept[1:] concept = concept.replace(' ', '_') wh...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_is_statement_in_list; 3, parameters; 3, 4; 3, 5; 4, identifier:new_stmt; 5, identifier:old_stmt_list; 6, block; 6, 7; 6, 252; 7, for_statement; 7, 8; 7, 9; 7, 10; 8, identifier:old_stmt; 9, identifier:old_stmt_list; 10, block; 10, 11; 11, if_s...
def _is_statement_in_list(new_stmt, old_stmt_list): for old_stmt in old_stmt_list: if old_stmt.equals(new_stmt): return True elif old_stmt.evidence_equals(new_stmt) and old_stmt.matches(new_stmt): if isinstance(new_stmt, Complex): agent_pairs = zip(old_stmt.so...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 5; 2, function_name:_urn_to_db_refs; 3, parameters; 3, 4; 4, identifier:urn; 5, block; 5, 6; 5, 15; 5, 24; 5, 33; 5, 43; 5, 47; 5, 51; 5, 227; 5, 233; 5, 263; 5, 305; 5, 311; 5, 324; 5, 351; 6, if_statement; 6, 7; 6, 10; 7, comparison_operator:is; 7, 8; 7, 9; 8, i...
def _urn_to_db_refs(urn): if urn is None: return {}, None m = URN_PATT.match(urn) if m is None: return None, None urn_type, urn_id = m.groups() db_refs = {} db_name = None if urn_type == 'agi-cas': chebi_id = get_chebi_id_from_cas(urn_id) if chebi_id: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 15; 2, function_name:symmetricsys; 3, parameters; 3, 4; 3, 7; 3, 10; 3, 13; 4, default_parameter; 4, 5; 4, 6; 5, identifier:dep_tr; 6, None; 7, default_parameter; 7, 8; 7, 9; 8, identifier:indep_tr; 9, None; 10, default_parameter; 10, 11; 10, 12; 11, identifier:Su...
def symmetricsys(dep_tr=None, indep_tr=None, SuperClass=TransformedSys, **kwargs): if dep_tr is not None: if not callable(dep_tr[0]) or not callable(dep_tr[1]): raise ValueError("Exceptected dep_tr to be a pair of callables") if indep_tr is not None: if not callable(indep_tr[0]) or n...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:from_other; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:cls; 5, identifier:ori; 6, dictionary_splat_pattern; 6, 7; 7, identifier:kwargs; 8, block; 8, 9; 8, 45; 8, 66; 8, 87; 8, 120; 8, 153; 8, 172; 8, 185; 8, 193; 8, 217; 9, for_statement; 9...
def from_other(cls, ori, **kwargs): for k in cls._attrs_to_copy + ('params', 'roots', 'init_indep', 'init_dep'): if k not in kwargs: val = getattr(ori, k) if val is not None: kwargs[k] = val if 'lower_bounds' not in kwargs and getattr(ori, ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:from_linear_invariants; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:cls; 5, identifier:ori_sys; 6, default_parameter; 6, 7; 6, 8; 7, identifier:preferred; 8, None; 9, dictionary_splat_pattern; 9, 10; 10, identifier:kwargs; 11, block; ...
def from_linear_invariants(cls, ori_sys, preferred=None, **kwargs): _be = ori_sys.be A = _be.Matrix(ori_sys.linear_invariants) rA, pivots = A.rref() if len(pivots) < A.shape[0]: raise NotImplementedError("Linear invariants contain linear dependencies.") per_row_cols =...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 23; 2, function_name:chained_parameter_variation; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 3, 11; 3, 14; 3, 17; 3, 20; 4, identifier:subject; 5, identifier:durations; 6, identifier:y0; 7, identifier:varied_params; 8, default_parameter; 8, 9; 8, 10; 9, identifi...
def chained_parameter_variation(subject, durations, y0, varied_params, default_params=None, integrate_kwargs=None, x0=None, npoints=1, numpy=None): assert len(durations) > 0, 'need at least 1 duration (preferably many)' assert npoints > 0, 'need at least 1 point per duration' ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 18; 2, function_name:integrate; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 3, 16; 4, identifier:self; 5, identifier:x; 6, identifier:y0; 7, default_parameter; 7, 8; 7, 9; 8, identifier:params; 9, tuple; 10, default_parameter; 10, 11; 10, 12; 11, identifi...
def integrate(self, x, y0, params=(), atol=1e-8, rtol=1e-8, **kwargs): arrs = self.to_arrays(x, y0, params) _x, _y, _p = _arrs = self.pre_process(*arrs) ndims = [a.ndim for a in _arrs] if ndims == [1, 1, 1]: twodim = False elif ndims == [2, 2, 2]: twodim =...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:sort_data; 3, parameters; 3, 4; 3, 5; 4, identifier:data; 5, identifier:cols; 6, block; 6, 7; 7, return_statement; 7, 8; 8, call; 8, 9; 8, 22; 9, attribute; 9, 10; 9, 21; 10, subscript; 10, 11; 10, 17; 11, call; 11, 12; 11, 15; 12, attribute; 1...
def sort_data(data, cols): return data.sort_values(cols)[cols + ['value']].reset_index(drop=True)
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:filter_by_meta; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:data; 5, identifier:df; 6, default_parameter; 6, 7; 6, 8; 7, identifier:join_meta; 8, False; 9, dictionary_splat_pattern; 9, 10; 10, identifier:kwargs; 11, block; 11, 12; 11,...
def filter_by_meta(data, df, join_meta=False, **kwargs): if not set(META_IDX).issubset(data.index.names + list(data.columns)): raise ValueError('missing required index dimensions or columns!') meta = pd.DataFrame(df.meta[list(set(kwargs) - set(META_IDX))].copy()) keep = np.array([True] * len(meta)) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 14; 2, function_name:append; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 4, identifier:self; 5, identifier:other; 6, default_parameter; 6, 7; 6, 8; 7, identifier:ignore_meta_conflict; 8, False; 9, default_parameter; 9, 10; 9, 11; 10, identifier:inplace; 11, Fals...
def append(self, other, ignore_meta_conflict=False, inplace=False, **kwargs): if not isinstance(other, IamDataFrame): other = IamDataFrame(other, **kwargs) ignore_meta_conflict = True if self.time_col is not other.time_col: raise ValueError('incompatibl...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 19; 2, function_name:pivot_table; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 3, 16; 4, identifier:self; 5, identifier:index; 6, identifier:columns; 7, default_parameter; 7, 8; 7, 9; 8, identifier:values; 9, string:'value'; 10, default_parameter; 10, 11; ...
def pivot_table(self, index, columns, values='value', aggfunc='count', fill_value=None, style=None): index = [index] if isstr(index) else index columns = [columns] if isstr(columns) else columns df = self.data if isstr(aggfunc): if aggfunc == 'count': ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:check_internal_consistency; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, dictionary_splat_pattern; 5, 6; 6, identifier:kwargs; 7, block; 7, 8; 7, 12; 7, 68; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:inconsi...
def check_internal_consistency(self, **kwargs): inconsistent_vars = {} for variable in self.variables(): diff_agg = self.check_aggregate(variable, **kwargs) if diff_agg is not None: inconsistent_vars[variable + "-aggregate"] = diff_agg diff_regional = ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:_apply_filters; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, dictionary_splat_pattern; 5, 6; 6, identifier:filters; 7, block; 7, 8; 7, 18; 7, 35; 7, 432; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:regexp; 11...
def _apply_filters(self, **filters): regexp = filters.pop('regexp', False) keep = np.array([True] * len(self.data)) for col, values in filters.items(): if values is None: continue if col in self.meta.columns: matches = pattern_match(self.me...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:load_metadata; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 8; 4, identifier:self; 5, identifier:path; 6, list_splat_pattern; 6, 7; 7, identifier:args; 8, dictionary_splat_pattern; 8, 9; 9, identifier:kwargs; 10, block; 10, 11; 10, 31; 10, 96; 10, 103;...
def load_metadata(self, path, *args, **kwargs): if not os.path.exists(path): raise ValueError("no metadata file '" + path + "' found!") if path.endswith('csv'): df = pd.read_csv(path, *args, **kwargs) else: xl = pd.ExcelFile(path) if len(xl.sheet_n...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 17; 2, function_name:assign_style_props; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 4, identifier:df; 5, default_parameter; 5, 6; 5, 7; 6, identifier:color; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:marker; 10, None; 11, default_parameter; 11, ...
def assign_style_props(df, color=None, marker=None, linestyle=None, cmap=None): if color is None and cmap is not None: raise ValueError('`cmap` must be provided with the `color` argument') n = len(df[color].unique()) if color in df.columns else \ len(df[list(set(df.columns...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 38; 2, function_name:scatter; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 3, 13; 3, 16; 3, 19; 3, 22; 3, 25; 3, 28; 3, 33; 3, 36; 4, identifier:df; 5, identifier:x; 6, identifier:y; 7, default_parameter; 7, 8; 7, 9; 8, identifier:ax; 9, None; 10, default_paramet...
def scatter(df, x, y, ax=None, legend=None, title=None, color=None, marker='o', linestyle=None, cmap=None, groupby=['model', 'scenario'], with_lines=False, **kwargs): if ax is None: fig, ax = plt.subplots() props = assign_style_props(df, color=color, marker=marker, ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 22; 2, function_name:config_create; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 3, 17; 3, 20; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:kernel; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:label; 10, None; 11, default_para...
def config_create(self, kernel=None, label=None, devices=[], disks=[], volumes=[], **kwargs): from .volume import Volume hypervisor_prefix = 'sd' if self.hypervisor == 'kvm' else 'xvd' device_names = [hypervisor_prefix + string.ascii_lowercase[i] for i in range(0, 8)] device_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 29; 2, function_name:clone; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 11; 3, 14; 3, 17; 3, 20; 3, 23; 3, 26; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:to_linode; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:region; 10, None; 11, de...
def clone(self, to_linode=None, region=None, service=None, configs=[], disks=[], label=None, group=None, with_backups=None): if to_linode and region: raise ValueError('You may only specify one of "to_linode" and "region"') if region and not service: raise ValueError('...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:_populate; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:json; 6, block; 6, 7; 6, 12; 6, 20; 6, 404; 6, 412; 7, if_statement; 7, 8; 7, 10; 8, not_operator; 8, 9; 9, identifier:json; 10, block; 10, 11; 11, return_statement; 12, ex...
def _populate(self, json): if not json: return self._set('_raw_json', json) for key in json: if key in (k for k in type(self).properties.keys() if not type(self).properties[k].identifier): if type(self).properties[key].relationship \ ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 18; 2, function_name:_api_call; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 3, 15; 4, identifier:self; 5, identifier:endpoint; 6, default_parameter; 6, 7; 6, 8; 7, identifier:model; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:method; 11, None; 12...
def _api_call(self, endpoint, model=None, method=None, data=None, filters=None): if not self.token: raise RuntimeError("You do not have an API token!") if not method: raise ValueError("Method is required for API calls!") if model: endpoint = endpoint.format(**...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 21; 2, function_name:tag_create; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 3, 15; 3, 18; 4, identifier:self; 5, identifier:label; 6, default_parameter; 6, 7; 6, 8; 7, identifier:instances; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:domains; 11...
def tag_create(self, label, instances=None, domains=None, nodebalancers=None, volumes=None, entities=[]): linode_ids, nodebalancer_ids, domain_ids, volume_ids = [], [], [], [] sorter = zip((linode_ids, nodebalancer_ids, domain_ids, volume_ids), (instances, nodebal...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:validate_anneal_schedule; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:anneal_schedule; 6, block; 6, 7; 6, 19; 6, 25; 6, 49; 6, 96; 6, 116; 6, 143; 6, 161; 6, 174; 6, 184; 6, 236; 6, 242; 7, if_statement; 7, 8; 7, 13; 8, compari...
def validate_anneal_schedule(self, anneal_schedule): if 'anneal_schedule' not in self.parameters: raise RuntimeError("anneal_schedule is not an accepted parameter for this sampler") properties = self.properties try: min_anneal_time, max_anneal_time = properties['annealing...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:target_to_source; 3, parameters; 3, 4; 3, 5; 4, identifier:target_adjacency; 5, identifier:embedding; 6, block; 6, 7; 6, 19; 6, 23; 6, 57; 6, 112; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:source_adjacency; 10, di...
def target_to_source(target_adjacency, embedding): source_adjacency = {v: set() for v in embedding} reverse_embedding = {} for v, chain in iteritems(embedding): for u in chain: if u in reverse_embedding: raise ValueError("target node {} assigned to more than one source no...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 10; 2, function_name:insert_graph; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:cur; 5, identifier:nodelist; 6, identifier:edgelist; 7, default_parameter; 7, 8; 7, 9; 8, identifier:encoded_data; 9, None; 10, block; 10, 11; 10, 20; 10, 34; 10, 48; 10, 69; 1...
def insert_graph(cur, nodelist, edgelist, encoded_data=None): if encoded_data is None: encoded_data = {} if 'num_nodes' not in encoded_data: encoded_data['num_nodes'] = len(nodelist) if 'num_edges' not in encoded_data: encoded_data['num_edges'] = len(edgelist) if 'edges' not in e...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:draw_chimera_bqm; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:bqm; 5, default_parameter; 5, 6; 5, 7; 6, identifier:width; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:height; 10, None; 11, block; 11, 12; 11, 22; 11, 32; 11, 67;...
def draw_chimera_bqm(bqm, width=None, height=None): linear = bqm.linear.keys() quadratic = bqm.quadratic.keys() if width is None and height is None: graph_size = ceil(sqrt((max(linear) + 1) / 8.0)) width = graph_size height = graph_size if not width or not height: raise E...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 13; 2, function_name:embed_bqm; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 4, identifier:source_bqm; 5, identifier:embedding; 6, identifier:target_adjacency; 7, default_parameter; 7, 8; 7, 9; 8, identifier:chain_strength; 9, float:1.0; 10, default_parameter; 10...
def embed_bqm(source_bqm, embedding, target_adjacency, chain_strength=1.0, smear_vartype=None): if smear_vartype is dimod.SPIN and source_bqm.vartype is dimod.BINARY: return embed_bqm(source_bqm.spin, embedding, target_adjacency, chain_strength=chain_strength, smear_va...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:embed_ising; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 4, identifier:source_h; 5, identifier:source_J; 6, identifier:embedding; 7, identifier:target_adjacency; 8, default_parameter; 8, 9; 8, 10; 9, identifier:chain_strength; 10, float:1.0; ...
def embed_ising(source_h, source_J, embedding, target_adjacency, chain_strength=1.0): source_bqm = dimod.BinaryQuadraticModel.from_ising(source_h, source_J) target_bqm = embed_bqm(source_bqm, embedding, target_adjacency, chain_strength=chain_strength) target_h, target_J, __ = target_bqm.to_ising() retur...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 13; 2, function_name:unembed_sampleset; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 4, identifier:target_sampleset; 5, identifier:embedding; 6, identifier:source_bqm; 7, default_parameter; 7, 8; 7, 9; 8, identifier:chain_break_method; 9, None; 10, default_parame...
def unembed_sampleset(target_sampleset, embedding, source_bqm, chain_break_method=None, chain_break_fraction=False): if chain_break_method is None: chain_break_method = majority_vote variables = list(source_bqm) try: chains = [embedding[v] for v in variables] except...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:nativeCliqueEmbed; 3, parameters; 3, 4; 3, 5; 4, identifier:self; 5, identifier:width; 6, block; 6, 7; 6, 11; 6, 23; 6, 27; 6, 31; 6, 35; 6, 153; 6, 157; 6, 193; 7, expression_statement; 7, 8; 8, assignment; 8, 9; 8, 10; 9, identifier:maxCWR; 1...
def nativeCliqueEmbed(self, width): maxCWR = {} M, N = self.M, self.N maxscore = None count = 0 key = None for w in range(width + 2): h = width - w - 2 for ymin in range(N - h): ymax = ymin + h for xmin in range(M - ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 15; 2, function_name:find_clique_embedding; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 3, 12; 4, identifier:k; 5, identifier:m; 6, default_parameter; 6, 7; 6, 8; 7, identifier:n; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:t; 11, None; 12, default_para...
def find_clique_embedding(k, m, n=None, t=None, target_edges=None): import random _, nodes = k m, n, t, target_edges = _chimera_input(m, n, t, target_edges) if len(nodes) == 1: qubits = set().union(*target_edges) qubit = random.choice(tuple(qubits)) embedding = [[qubit]] elif...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:find_grid_embedding; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:dim; 5, identifier:m; 6, default_parameter; 6, 7; 6, 8; 7, identifier:n; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:t; 11, integer:4; 12, block; 12, 13;...
def find_grid_embedding(dim, m, n=None, t=4): m, n, t, target_edges = _chimera_input(m, n, t, None) indexer = dnx.generators.chimera.chimera_coordinates(m, n, t) dim = list(dim) num_dim = len(dim) if num_dim == 1: def _key(row, col, aisle): return row dim.extend([1, 1]) elif num_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:sample; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:bqm; 6, dictionary_splat_pattern; 6, 7; 7, identifier:parameters; 8, block; 8, 9; 8, 15; 8, 21; 8, 27; 8, 33; 8, 54; 8, 100; 8, 115; 8, 122; 8, 152; 8, 173; 8, 203; 8, 2...
def sample(self, bqm, **parameters): child = self.child cutoff = self._cutoff cutoff_vartype = self._cutoff_vartype comp = self._comparison if cutoff_vartype is dimod.SPIN: original = bqm.spin else: original = bqm.binary new = type(bqm)(ori...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:sample_poly; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:poly; 6, dictionary_splat_pattern; 6, 7; 7, identifier:kwargs; 8, block; 8, 9; 8, 15; 8, 21; 8, 27; 8, 33; 8, 64; 8, 104; 8, 128; 8, 144; 8, 171; 8, 192; 8, 222; 8,...
def sample_poly(self, poly, **kwargs): child = self.child cutoff = self._cutoff cutoff_vartype = self._cutoff_vartype comp = self._comparison if cutoff_vartype is dimod.SPIN: original = poly.to_spin(copy=False) else: original = poly.to_binary(copy=...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:diagnose_embedding; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:emb; 5, identifier:source; 6, identifier:target; 7, block; 7, 8; 7, 25; 7, 42; 7, 46; 7, 52; 7, 169; 7, 177; 7, 204; 8, if_statement; 8, 9; 8, 15; 9, not_operator; 9, 10; 10, ca...
def diagnose_embedding(emb, source, target): if not hasattr(source, 'edges'): source = nx.Graph(source) if not hasattr(target, 'edges'): target = nx.Graph(target) label = {} embedded = set() for x in source: try: embx = emb[x] missing_chain = len(embx)...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 18; 2, function_name:response; 3, parameters; 3, 4; 3, 5; 3, 8; 3, 13; 3, 16; 4, identifier:self; 5, default_parameter; 5, 6; 5, 7; 6, identifier:model; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:code; 10, attribute; 10, 11; 10, 12; 11, identifier:H...
def response(self, model=None, code=HTTPStatus.OK, description=None, **kwargs): code = HTTPStatus(code) if code is HTTPStatus.NO_CONTENT: assert model is None if model is None and code not in {HTTPStatus.ACCEPTED, HTTPStatus.NO_CONTENT}: if code.value not in http_exceptio...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:enrich_items; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:ocean_backend; 6, default_parameter; 6, 7; 6, 8; 7, identifier:events; 8, False; 9, block; 9, 10; 9, 18; 9, 22; 9, 26; 9, 30; 9, 38; 9, 42; 9, 52; 9, 68; 9, 236; 9...
def enrich_items(self, ocean_backend, events=False): max_items = self.elastic.max_items_bulk current = 0 total = 0 bulk_json = "" items = ocean_backend.fetch() images_items = {} url = self.elastic.index_url + '/items/_bulk' logger.debug("Adding items to %s...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:add_identity; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:cls; 5, identifier:db; 6, identifier:identity; 7, identifier:backend; 8, block; 8, 9; 8, 13; 8, 154; 8, 204; 9, expression_statement; 9, 10; 10, assignment; 10, 11; 10, 12; 11, ...
def add_identity(cls, db, identity, backend): uuid = None try: uuid = api.add_identity(db, backend, identity['email'], identity['name'], identity['username']) logger.debug("New sortinghat identity %s %s,%s,%s ", uuid, i...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:add_identities; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:cls; 5, identifier:db; 6, identifier:identities; 7, identifier:backend; 8, block; 8, 9; 8, 16; 8, 20; 8, 55; 9, expression_statement; 9, 10; 10, call; 10, 11; 10, 14; 11, attr...
def add_identities(cls, db, identities, backend): logger.info("Adding the identities to SortingHat") total = 0 for identity in identities: try: cls.add_identity(db, identity, backend) total += 1 except Exception as e: logger...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:remove_identity; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:cls; 5, identifier:sh_db; 6, identifier:ident_id; 7, block; 7, 8; 7, 12; 7, 51; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:success; 11, False; 12, t...
def remove_identity(cls, sh_db, ident_id): success = False try: api.delete_identity(sh_db, ident_id) logger.debug("Identity %s deleted", ident_id) success = True except Exception as e: logger.debug("Identity not deleted due to %s", str(e)) ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:remove_unique_identity; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:cls; 5, identifier:sh_db; 6, identifier:uuid; 7, block; 7, 8; 7, 12; 7, 51; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:success; 11, False; 12...
def remove_unique_identity(cls, sh_db, uuid): success = False try: api.delete_unique_identity(sh_db, uuid) logger.debug("Unique identity %s deleted", uuid) success = True except Exception as e: logger.debug("Unique identity not deleted due to %s", ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 6; 2, function_name:unique_identities; 3, parameters; 3, 4; 3, 5; 4, identifier:cls; 5, identifier:sh_db; 6, block; 6, 7; 7, try_statement; 7, 8; 7, 21; 8, block; 8, 9; 9, for_statement; 9, 10; 9, 11; 9, 17; 10, identifier:unique_identity; 11, call; 11, 12; 11, 15...
def unique_identities(cls, sh_db): try: for unique_identity in api.unique_identities(sh_db): yield unique_identity except Exception as e: logger.debug("Unique identities not returned from SortingHat due to %s", str(e))
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 11; 2, function_name:refresh_identities; 3, parameters; 3, 4; 3, 5; 3, 8; 4, identifier:enrich_backend; 5, default_parameter; 5, 6; 5, 7; 6, identifier:author_field; 7, None; 8, default_parameter; 8, 9; 8, 10; 9, identifier:author_values; 10, None; 11, block; 11, ...
def refresh_identities(enrich_backend, author_field=None, author_values=None): def update_items(new_filter_author): for eitem in enrich_backend.fetch(new_filter_author): roles = None try: roles = enrich_backend.roles except AttributeError: ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 13; 2, function_name:get_ocean_backend; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 10; 4, identifier:backend_cmd; 5, identifier:enrich_backend; 6, identifier:no_incremental; 7, default_parameter; 7, 8; 7, 9; 8, identifier:filter_raw; 9, None; 10, default_parameter;...
def get_ocean_backend(backend_cmd, enrich_backend, no_incremental, filter_raw=None, filter_raw_should=None): if no_incremental: last_enrich = None else: last_enrich = get_last_enrich(backend_cmd, enrich_backend, filter_raw=filter_raw) logger.debug("Last enrichment: %s",...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 8; 2, function_name:delete_orphan_unique_identities; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 4, identifier:es; 5, identifier:sortinghat_db; 6, identifier:current_data_source; 7, identifier:active_data_sources; 8, block; 8, 9; 8, 73; 8, 107; 8, 153; 8, 183; 8, 187; ...
def delete_orphan_unique_identities(es, sortinghat_db, current_data_source, active_data_sources): def get_uuids_in_index(target_uuids): page = es.search( index=IDENTITIES_INDEX, scroll="360m", size=SIZE_SCROLL_IDENTITIES_INDEX, body={ "query": ...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:delete_inactive_unique_identities; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:es; 5, identifier:sortinghat_db; 6, identifier:before_date; 7, block; 7, 8; 7, 40; 7, 46; 7, 54; 7, 69; 7, 73; 7, 144; 8, expression_statement; 8, 9; 9, assignmen...
def delete_inactive_unique_identities(es, sortinghat_db, before_date): page = es.search( index=IDENTITIES_INDEX, scroll="360m", size=SIZE_SCROLL_IDENTITIES_INDEX, body={ "query": { "range": { "last_seen": { "lte"...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 9; 2, function_name:retain_identities; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 7; 3, 8; 4, identifier:retention_time; 5, identifier:es_enrichment_url; 6, identifier:sortinghat_db; 7, identifier:data_source; 8, identifier:active_data_sources; 9, block; 9, 10; 9, 19; 9,...
def retain_identities(retention_time, es_enrichment_url, sortinghat_db, data_source, active_data_sources): before_date = get_diff_current_date(minutes=retention_time) before_date_str = before_date.isoformat() es = Elasticsearch([es_enrichment_url], timeout=120, max_retries=20, retry_on_timeout=True, verify_...
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 7; 2, function_name:get_review_sh; 3, parameters; 3, 4; 3, 5; 3, 6; 4, identifier:self; 5, identifier:revision; 6, identifier:item; 7, block; 7, 8; 7, 17; 7, 32; 7, 42; 8, expression_statement; 8, 9; 9, assignment; 9, 10; 9, 11; 10, identifier:identity; 11, call; ...
def get_review_sh(self, revision, item): identity = self.get_sh_identity(revision) update = parser.parse(item[self.get_field_date()]) erevision = self.get_item_sh_fields(identity, update) return erevision
0, module; 0, 1; 1, function_definition; 1, 2; 1, 3; 1, 12; 2, function_name:get_item_sh; 3, parameters; 3, 4; 3, 5; 3, 6; 3, 9; 4, identifier:self; 5, identifier:item; 6, default_parameter; 6, 7; 6, 8; 7, identifier:roles; 8, None; 9, default_parameter; 9, 10; 9, 11; 10, identifier:date_field; 11, None; 12, block; 12,...
def get_item_sh(self, item, roles=None, date_field=None): eitem_sh = {} author_field = self.get_field_author() if not roles: roles = [author_field] if not date_field: item_date = str_to_datetime(item[self.get_field_date()]) else: item_date = st...