sequence stringlengths 1.19k 35k | code stringlengths 75 8.58k |
|---|---|
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_raw_counts'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | def get_raw_counts(self):
words = []
labels = []
words_said = set()
for unit in self.parsed_response:
word = unit.text
test = False
if self.type == "PHONETIC":
test = (word.startswith(self.letter) and
"T_" not in... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute_similarity_score'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childre... | def compute_similarity_score(self, unit1, unit2):
if self.type == "PHONETIC":
word1 = unit1.phonetic_representation
word2 = unit2.phonetic_representation
if self.current_similarity_measure == "phone":
word1_length, word2_length = len(word1), len(word2)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute_pairwise_similarity_score'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children... | def compute_pairwise_similarity_score(self):
pairs = []
all_scores = []
for i, unit in enumerate(self.parsed_response):
for j, other_unit in enumerate(self.parsed_response):
if i != j:
pair = (i, j)
rev_pair = (j, i)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute_between_collection_interval_duration'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identi... | def compute_between_collection_interval_duration(self, prefix):
durations = []
for collection in self.collection_list:
start = collection[0].start_time
end = collection[-1].end_time
durations.append((start, end))
interstices = [durations[i + 1][0] - durations[... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute_within_collection_vowel_duration'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'ident... | def compute_within_collection_vowel_duration(self, prefix, no_singletons=False):
if no_singletons:
min_size = 2
else:
prefix += "no_singletons_"
min_size = 1
durations = []
for cluster in self.collection_list:
if len(cluster) >= min_size:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'print_output'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | def print_output(self):
if self.response_format == "csv":
for key in self.measures:
if "TIMING_" in key:
self.measures[key] = "NA"
if not self.quiet:
print
print self.type.upper() + " RESULTS:"
keys = [e for e in self.me... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_by'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def sort_by(self, fieldName, reverse=False):
'''
sort_by - Return a copy of this collection, sorted by the given fieldName.
The fieldName is accessed the same way as other filtering, so it supports custom properties, etc.
@param fieldName <str> - The name of the field on ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_qtls_from_rqtl_data'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []... | def get_qtls_from_rqtl_data(matrix, lod_threshold):
t_matrix = list(zip(*matrix))
qtls = [['Trait', 'Linkage Group', 'Position', 'Exact marker', 'LOD']]
for row in t_matrix[3:]:
lgroup = None
max_lod = None
peak = None
cnt = 1
while cnt < len(row):
if lgro... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '19']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'response'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17']}; {'id': '4', 'type': 'identifier', 'chil... | def response(code, body='', etag=None, last_modified=None, expires=None, **kw):
if etag is not None:
if not (etag[0] == '"' and etag[-1] == '"'):
etag = '"%s"' % etag
kw['etag'] = etag
if last_modified is not None:
kw['last_modified'] = datetime_to_httpdate(last_modified)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'plot_optimum_prediction_fraction_correct_cutoffs_over_range'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8'... | def plot_optimum_prediction_fraction_correct_cutoffs_over_range(self, analysis_set, min_stability_classication_x_cutoff, max_stability_classication_x_cutoff, suppress_plot = False, analysis_file_prefix = None, verbose = True):
'''Plots the optimum cutoff for the predictions to maximize the fraction correct metr... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_chain_details_by_related_pdb_chains'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'i... | def get_chain_details_by_related_pdb_chains(self, pdb_id, chain_id, pfam_accs):
''' Returns a dict of SCOPe details using info
This returns Pfam-level information for a PDB chain i.e. no details on the protein, species, or domain will be returned.
If there are SCOPe entries for the assoc... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'recall_service'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def recall_service(self, service):
if not isinstance(service, Service):
raise TypeError("service must be of type Service.")
logger.warning("The deployment for {0} on {1} failed starting the rollback.".format(service.alias, self.url.geturl()))
def anonymous(anonymous_service):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sorted_items'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def sorted_items(d, key=__identity, reverse=False):
def pairkey_key(item):
return key(item[0])
return sorted(d.items(), key=pairkey_key, reverse=reverse) |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '22']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_or_create_in_transaction'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13', '16', '19']}; {'id': '... | def get_or_create_in_transaction(tsession, model, values, missing_columns = [], variable_columns = [], updatable_columns = [], only_use_supplied_columns = False, read_only = False):
'''
Uses the SQLAlchemy model to retrieve an existing record based on the supplied field values or, if there is no
existing re... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'errors'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def errors(self, instance):
if isinstance(instance, dict):
return self._validate(instance)
elif isinstance(instance, forms.BaseForm):
if instance.is_bound and instance.is_valid():
return self._validate(instance.cleaned_data)
return self._validate(dict(... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '20']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'multimatch'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17']}; {'id': '4', 'type': 'identifier', 'ch... | def multimatch(self, origin=None, rel=None, target=None, attrs=None, include_ids=False):
'''
Iterator over relationship IDs that match a pattern of components, with multiple options provided for each component
origin - (optional) origin of the relationship (similar to an RDF subject), or set of ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_qtls_from_mapqtl_data'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childr... | def get_qtls_from_mapqtl_data(matrix, threshold, inputfile):
trait_name = inputfile.split(')_', 1)[1].split('.mqo')[0]
qtls = []
qtl = None
for entry in matrix[1:]:
if qtl is None:
qtl = entry
if qtl[1] != entry[1]:
if float(qtl[4]) > float(threshold):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'merge_range_pairs'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def merge_range_pairs(prs):
'''Takes in a list of pairs specifying ranges and returns a sorted list of merged, sorted ranges.'''
new_prs = []
sprs = [sorted(p) for p in prs]
sprs = sorted(sprs)
merged = False
x = 0
while x < len(sprs):
newx = x + 1
new_pair = list(sprs[x])
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26']}; {'id': '4', 'type': 'id... | def create(self, agent_cls=None, n_agents=10, agent_kwargs={},
env_cls=Environment, env_kwargs={}, callback=None, conns=0,
log_folder=None):
if not issubclass(env_cls, Environment):
raise TypeError("Environment class must be derived from ({}"
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'callproc'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier', 'children': ... | def callproc(self, procname, parameters=(), quiet=False, expect_return_value=False):
self.procedures_run += 1
i = 0
errcode = 0
caughte = None
out_param_indices = []
for j in range(len(parameters)):
p = parameters[j]
if type(p) == type('') and p[0]... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_insert_dict_string'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13']}; {'id': '4', 'type': 'id... | def create_insert_dict_string(self, tblname, d, PKfields=[], fields=None, check_existing = False):
'''The main function of the insert_dict functions.
This creates and returns the SQL query and parameters used by the other functions but does not insert any data into the database.
Simple fun... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fixed_point'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'children':... | def fixed_point(is_zero, plus, minus, f, x):
@memo_Y
def _fixed_point(fixed_point_fun):
def __fixed_point(collected, new):
diff = minus(new, collected)
if is_zero(diff):
return collected
return fixed_point_fun(plus(collected, diff), f(diff))
re... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'connections_from_graph'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children'... | def connections_from_graph(env, G, edge_data=False):
if not issubclass(G.__class__, (Graph, DiGraph)):
raise TypeError("Graph structure must be derived from Networkx's "
"Graph or DiGraph.")
if not hasattr(env, 'get_agents'):
raise TypeError("Parameter 'env' must have get... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'graph_from_connections'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [],... | def graph_from_connections(env, directed=False):
G = DiGraph() if directed else Graph()
conn_list = env.get_connections(data=True)
for agent, conns in conn_list:
G.add_node(agent)
ebunch = []
for nb, data in conns.items():
ebunch.append((agent, nb, data))
if len(e... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'profile'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'requ... | def profile(request, status=200):
if request.method == 'GET':
if request.GET.get("username", False):
try:
user_profile = User.objects.get(username=request.GET.get("username"),
userprofile__public=True).userprofile
except... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_session_identifiers'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'childre... | def get_session_identifiers(cls, folder=None, inputfile=None):
sessions = []
if inputfile and folder:
raise MQ2Exception(
'You should specify either a folder or a file')
if folder:
if not os.path.isdir(folder):
return sessions
f... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'template2regex'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def template2regex(template, ranges=None):
if len(template) and -1 < template.find('|') < len(template) - 1:
raise InvalidTemplateError("'|' may only appear at the end, found at position %d in %s" % (template.find('|'), template))
if ranges is None:
ranges = DEFAULT_RANGES
anchor = True
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'path'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def path(self, target, args, kw):
if type(target) in string_types:
if ':' in target:
prefix, rest = target.split(':', 1)
route = self.named_routes[prefix]
prefix_params = route._pop_params(args, kw)
prefix_path = route.path([], prefix_p... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_children_graph'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'childr... | def get_children_graph(self, item_ids=None, language=None, forbidden_item_ids=None):
if forbidden_item_ids is None:
forbidden_item_ids = set()
def _children(item_ids):
if item_ids is None:
items = Item.objects.filter(active=True).prefetch_related('children')
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_parents_graph'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [],... | def get_parents_graph(self, item_ids, language=None):
def _parents(item_ids):
if item_ids is None:
items = Item.objects.filter(active=True).prefetch_related('parents')
else:
item_ids = [ii for iis in item_ids.values() for ii in iis]
items =... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_graph'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def get_graph(self, item_ids, language=None):
def _related(item_ids):
if item_ids is None:
items = Item.objects.filter(active=True).prefetch_related('parents', 'children')
else:
item_ids = [ii for iis in item_ids.values() for ii in iis]
ite... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'translate_item_ids'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'childre... | def translate_item_ids(self, item_ids, language, is_nested=None):
if is_nested is None:
def is_nested_fun(x):
return True
elif isinstance(is_nested, bool):
def is_nested_fun(x):
return is_nested
else:
is_nested_fun = is_nested
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_leaves'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [],... | def get_leaves(self, item_ids=None, language=None, forbidden_item_ids=None):
forbidden_item_ids = set() if forbidden_item_ids is None else set(forbidden_item_ids)
children = self.get_children_graph(item_ids, language=language, forbidden_item_ids=forbidden_item_ids)
counts = self.get_children_cou... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '20']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_image'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17']}; {'id': '4', 'type': 'identifier', 'chi... | async def get_image(self, imgtype=None, tags=None, nsfw=None, hidden=None, filetype=None):
if not imgtype and not tags:
raise MissingTypeOrTags("'get_image' requires at least one of either type or tags.")
if imgtype and not isinstance(imgtype, str):
raise TypeError("type of 'imgt... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'query'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'logfil... | def query(logfile, jobID = None):
joblist = logfile.readFromLogfile()
if jobID and type(jobID) == type(1):
command = ['qstat', '-j', str(jobID)]
else:
command = ['qstat']
processoutput = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()
output = ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'build'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10']}; {'id': '4', 'type': 'identifier', 'children': [],... | def build(client, repository_tag, docker_file, tag=None, use_cache=False):
if not isinstance(client, docker.Client):
raise TypeError("client needs to be of type docker.Client.")
if not isinstance(docker_file, six.string_types) or not os.path.exists(docker_file):
raise Exception("... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_class'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'requ... | def create_class(request):
if request.method == 'GET':
return render(request, 'classes_create.html', {}, help_text=create_class.__doc__)
if request.method == 'POST':
if not request.user.is_authenticated() or not hasattr(request.user, "userprofile"):
return render_json(request, {
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_student'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 're... | def create_student(request):
if not get_config('proso_user', 'allow_create_students', default=False):
return render_json(request, {
'error': _('Creation of new users is not allowed.'),
'error_type': 'student_creation_not_allowed'
}, template='class_create_student.html', help_... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '80']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'lograptor'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14', '17', '20', '23', '26', '29', '32', '35', '38'... | def lograptor(files, patterns=None, matcher='ruled', cfgfiles=None, apps=None, hosts=None,
filters=None, time_period=None, time_range=None, case=False, invert=False,
word=False, files_with_match=None, count=False, quiet=False, max_count=0,
only_matching=False, line_number=False... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sanitize_codon_list'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def sanitize_codon_list(codon_list, forbidden_seqs=()):
for codon in codon_list:
if len(codon) != 3:
raise ValueError("Codons must have exactly 3 bases: '{}'".format(codon))
bad_seqs = set()
bad_seqs.union(
restriction_sites.get(seq, seq)
for seq in forbidden_seqs... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_node'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def add_node(self, node):
nodes = self.nodes()
if len(nodes) <= self.m0:
other_nodes = [n for n in nodes if n.id != node.id]
for n in other_nodes:
node.connect(direction="both", whom=n)
else:
for idx_newvector in xrange(self.m):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_concepts_to_recalculate'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier',... | def get_concepts_to_recalculate(self, users, lang, concepts=None):
only_one_user = False
if not isinstance(users, list):
only_one_user = True
users = [users]
mapping = self.get_item_concept_mapping(lang)
current_user_stats = defaultdict(lambda: {})
user_st... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'recalculate_concepts'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': ... | def recalculate_concepts(self, concepts, lang=None):
if len(concepts) == 0:
return
if lang is None:
items = Concept.objects.get_concept_item_mapping(concepts=Concept.objects.filter(pk__in=set(flatten(concepts.values()))))
else:
items = Concept.objects.get_conc... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_user_stats'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', ... | def get_user_stats(self, users, lang=None, concepts=None, since=None, recalculate=True):
only_one_user = False
if not isinstance(users, list):
users = [users]
only_one_user = True
if recalculate:
if lang is None:
raise ValueError('Recalculation... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '21']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'execute'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15', '18']}; {'id': '4', 'type': 'identifier', '... | def execute(self, sql, parameters = None, cursorClass = DictCursor, quiet = False, locked = False, do_commit = True):
i = 0
errcode = 0
caughte = None
cursor = None
if sql.find(";") != -1 or sql.find("\\G") != -1:
raise Exception("The SQL command '%s' contains a semi-colon or \\G. This is a potential SQL i... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_tasks'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '8', '11']}; {'id': '4', 'type': 'identifier', 'childre... | def create_tasks(task_coro, addrs, *args, flatten=True, **kwargs):
'''Create and schedule a set of asynchronous tasks.
The function creates the tasks using a given list of agent addresses and
wraps each of them in :func:`asyncio.ensure_future`. The ``*args`` and
``**kwargs`` are passed down to :func:`ta... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'ERROR', 'children': ['2', '204']}; {'id': '2', 'type': 'function_definition', 'children': ['3', '4', '21']}, {'id': '3', 'type': 'function_name', 'children': [], 'value': 'write'}; {'id': '4', 'type': 'parameters', 'children': ['5', '6', '9', '12', ... | def write(models, out=None, base=None, propertybase=None, shorteners=None, logger=logging):
'''
models - input Versa models from which output is generated. Must be a sequence
object, not an iterator
'''
assert out is not None
if not isinstance(models, list): models = [models]
sho... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'register_extensions'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | def register_extensions(self):
try:
for extension, config in self.config['extensions'].items():
extension_bstr = ''
extension_pieces = extension.split('.')
if len(extension_pieces) > 1:
extension_bstr = '.'.join(extension_pieces)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '19']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'request'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13', '16']}; {'id': '4', 'type': 'identifier', '... | def request(self, method, path, query={}, headers={}, body={}, base_url=None):
'''
Issues a request to Onshape
Args:
- method (str): HTTP method
- path (str): Path e.g. /api/documents/:id
- query (dict, default={}): Query params in key-value pairs
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fix_pdb'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, {... | def fix_pdb(self):
'''A function to fix fatal errors in PDB files when they can be automatically fixed. At present, this only runs if
self.strict is False. We may want a separate property for this since we may want to keep strict mode but still
allow PDBs to be fixed.
The only f... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'stripForDDG'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'childre... | def stripForDDG(self, chains = True, keepHETATM = False, numberOfModels = None, raise_exception = True):
'''Strips a PDB to ATOM lines. If keepHETATM is True then also retain HETATM lines.
By default all PDB chains are kept. The chains parameter should be True or a list.
In the latter case... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'neighbors2'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10']}; {'id': '4', 'type': 'identifier', 'children'... | def neighbors2(self, distance, chain_residue, atom = None, resid_list = None):
'''this one is more precise since it uses the chain identifier also'''
if atom == None:
lines = [line for line in self.atomlines(resid_list) if line[17:20] in allowed_PDB_residues_types]
else:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '26']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_document'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '11', '14', '17', '20', '23']}; {'id': '4', '... | def add_document(self, item_uri, name, metadata,
content=None, docurl=None, file=None,
displaydoc=False, preferName=False,
contrib_id=None):
if not preferName and file is not None:
docid = os.path.basename(file)
else:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_agents'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [],... | def get_agents(self, addr=True, agent_cls=None, include_manager=False):
'''Get agents in the environment.
:param bool addr: If ``True``, returns only addresses of the agents.
:param agent_cls:
Optional, if specified returns only agents belonging to that
particular class.
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'tee'}, {'id': '3', 'type': 'parameters', 'children': ['4', '6']}; {'id': '4', 'type': 'list_splat_pattern', 'children': ['5']}, {'id':... | def tee(*popenargs, **kwargs):
import subprocess, select, sys
process = subprocess.Popen(
stdout=subprocess.PIPE, stderr=subprocess.PIPE,
*popenargs, **kwargs)
stdout, stderr = '', ''
def read_stream(input_callback, output_stream):
read = input_callback()
output_s... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dump_object'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def dump_object(self, obj):
if isinstance(obj, uuid.UUID):
return str(obj)
if hasattr(obj, 'isoformat'):
return obj.isoformat()
if isinstance(obj, (bytes, bytearray, memoryview)):
return base64.b64encode(obj).decode('ASCII')
raise TypeError('{!r} is no... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'normalize_datum'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def normalize_datum(self, datum):
if datum is None:
return datum
if isinstance(datum, self.PACKABLE_TYPES):
return datum
if isinstance(datum, uuid.UUID):
datum = str(datum)
if isinstance(datum, bytearray):
datum = bytes(datum)
if is... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'redirect'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'end... | def redirect(endpoint, **kw):
_endpoint = None
if isinstance(endpoint, six.string_types):
_endpoint = endpoint
if "/" in endpoint:
return f_redirect(endpoint)
else:
for r in Mocha._app.url_map.iter_rules():
_endpoint = endpoint
if '... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_search'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def _search(self, query, search_term):
criterias = mongoengine.Q()
rel_criterias = mongoengine.Q()
terms = shlex.split(search_term)
if len(terms) == 1 and re.match(RE_OBJECTID, terms[0]):
q = query.filter(id=bson.ObjectId(terms[0]))
if q.count() == 1:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'replace_seqres'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def replace_seqres(self, pdb, update_atoms = True):
newpdb = PDB()
inserted_seqres = False
entries_before_seqres = set(["HEADER", "OBSLTE", "TITLE", "CAVEAT", "COMPND", "SOURCE",
"KEYWDS", "EXPDTA", "AUTHOR", "REVDAT", "SPRSDE", "JRNL",
"R... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'enrich_json_objects_by_object_type'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'ch... | def enrich_json_objects_by_object_type(request, value):
time_start_globally = time()
if isinstance(value, list):
json = [x.to_json() if hasattr(x, "to_json") else x for x in value]
else:
if isinstance(value, dict):
json = value
else:
json = value.to_json()
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'change_parent'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def change_parent(sender, instance, **kwargs):
if instance.id is None:
return
if len({'term', 'term_id'} & set(instance.changed_fields)) != 0:
diff = instance.diff
parent = diff['term'][0] if 'term' in diff else diff['term_id'][0]
child_id = instance.item_id
if parent is ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'bin_atoms'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'},... | def bin_atoms(self):
'''This function bins the Atoms into fixed-size sections of the protein space in 3D.'''
low_point = numpy.array([self.min_x, self.min_y, self.min_z])
high_point = numpy.array([self.max_x, self.max_y, self.max_z])
atom_bin_dimensions = numpy.ceil((high_point - low_poi... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def get(self, attr_name, *args):
if not isinstance(attr_name, six.string_types):
raise TypeError('attr_name must be a str.')
if '-' in attr_name:
attr_name = attr_name.replace('-', '_')
parent_attr = self
attr = getattr(parent_attr, attr_name, None)
for ar... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_load_yml_config'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def _load_yml_config(self, config_file):
if not isinstance(config_file, six.string_types):
raise TypeError('config_file must be a str.')
try:
def construct_yaml_int(self, node):
obj = SafeConstructor.construct_yaml_int(self, node)
data = ConfigInt... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_create_attr'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [],... | def _create_attr(self, property_key, data, ancestors):
if not isinstance(property_key, six.string_types):
raise TypeError("property_key must be a string. type: {0} was passed.".format(type(property_key)))
if not isinstance(ancestors, OrderedDict):
raise TypeError("ancestors must ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_collect_unrecognized_values'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier',... | def _collect_unrecognized_values(self, scheme, data, ancestors):
if not isinstance(ancestors, OrderedDict):
raise TypeError("ancestors must be an OrderedDict. type: {0} was passed.".format(type(ancestors)))
if not isinstance(scheme, dict):
raise TypeError('scheme must be a dict. ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_update_scheme'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | def _update_scheme(self, scheme, ancestors):
if not isinstance(ancestors, OrderedDict):
raise TypeError("ancestors must be an OrderedDict. type: {0} was passed.".format(type(ancestors)))
if not isinstance(scheme, dict):
raise TypeError('scheme must be a dict. type: {0} was passed... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_walk_tree'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13']}; {'id': '4', 'type': 'identifier', 'chi... | def _walk_tree(self, data, scheme, ancestors=None, property_name=None, prefix=None):
if property_name is None:
property_name = 'root'
order = ['registries'] + [key for key in scheme.keys() if key not in ('registries',)]
scheme = OrderedDict(sorted(scheme.items(), key=lambda x... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__execute_validations'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9', '12']}; {'id': '4', 'type': 'id... | def __execute_validations(self, validations, data, property_name, ancestors, negation=False, prefix=None):
if not isinstance(ancestors, OrderedDict):
raise TypeError("ancestors must be an OrderedDict. type: {0} was passed.".format(type(ancestors)))
if not isinstance(validations, dict):
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'users_feature'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'app... | def users_feature(app):
if not app.config.get('USER_JWT_SECRET', None):
raise x.JwtSecretMissing('Please set USER_JWT_SECRET in config')
app.session_interface = BoilerSessionInterface()
user_service.init(app)
login_manager.init_app(app)
login_manager.login_view = 'user.login'
login_manag... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'match'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | def match(self, other):
''' This is a noisy terminal-printing function at present since there is no need to make it a proper API function.'''
colortext.message("FASTA Match")
for frompdbID, fromchains in sorted(self.iteritems()):
matched_pdbs = {}
matched_chains = {}
... |
{'id': '0', 'type': 'ERROR', 'children': ['1', '2', '7', '9', '15', '19', '26', '33', '36', '37', '40', '46', '48', '49', '50', '51', '54', '55', '56', '57', '60', '61', '62', '63', '69', '72', '82', '86', '91', '101', '116', '126', '131', '171', '179', '211', '214', '215', '219', '222', '223', '226', '227', '230', '23... | def generateSummaryHTMLTable(self, extraLapse = TYPICAL_LAPSE):
'''Generates a summary in HTML of the status of the expected scripts broken based on the log.
This summary is returned as a list of strings.
'''
scriptsRun = self.scriptsRun
html = []
html.append("<table style='text-align:center;border:1px so... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'apply_quality_control_checks'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'iden... | def apply_quality_control_checks(
seq,
check_gen9_seqs=True,
check_short_length=True,
check_local_gc_content=True,
check_global_gc_content=True):
seq = seq.upper()
failure_reasons = []
if check_short_length:
if len(seq) < min_gene_length:
failure_r... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'oauth_connect'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def oauth_connect(self, provider, action):
valid_actions = ["connect", "authorized", "test"]
_redirect = views.auth.Account.account_settings if is_authenticated() else self.login
if action not in valid_actions \
or "oauth" not in __options__.get("registration_methods") \
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'set_neighbors'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | async def set_neighbors(self):
'''Set neighbors for multi-environments, their slave environments,
and agents.
'''
t = time.time()
self.logger.debug("Settings grid neighbors for the multi-environments.")
tasks = []
for i in range(len(self.grid)):
for j ... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'vectors'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def vectors(self, direction="all", failed=False):
if direction not in ["all", "incoming", "outgoing"]:
raise ValueError(
"{} is not a valid vector direction. "
"Must be all, incoming or outgoing.".format(direction))
if failed not in ["all", False, True]:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'transmissions'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': ... | def transmissions(self, direction="outgoing", status="all", failed=False):
if direction not in ["incoming", "outgoing", "all"]:
raise(ValueError("You cannot get transmissions of direction {}."
.format(direction) +
"Type can only be incoming, outgoing or... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'user_stats'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'reques... | def user_stats(request):
timer('user_stats')
response = {}
data = None
if request.method == "POST":
data = json.loads(request.body.decode("utf-8"))["filters"]
if "filters" in request.GET:
data = load_query_json(request.GET, "filters")
if data is None:
return render_json(r... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_resource'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '11']}; {'id': '4', 'type': 'identifier', ... | def create_resource(output_model, rtype, unique, links, existing_ids=None, id_helper=None):
'''
General-purpose routine to create a new resource in the output model, based on data provided
output_model - Versa connection to model to be updated
rtype - Type IRI for the new resource, set with... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'patterns'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}, ... | def patterns(self):
if not self.args.patterns and not self.args.pattern_files:
try:
self.args.patterns.append(self.args.files.pop(0))
except IndexError:
raise LogRaptorArgumentError('PATTERN', 'no search pattern')
patterns = set()
if self.a... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'qualify'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | def qualify(qualification, value, worker):
from boto.mturk.connection import MTurkConnection
config = PsiturkConfig()
config.load_config()
aws_access_key_id = config.get('AWS Access', 'aws_access_key_id')
aws_secret_access_key = config.get('AWS Access', 'aws_secret_access_key')
conn = MTurkConne... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'setup_jobs'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | def setup_jobs(outpath, options, input_files):
''' This function sets up the jobs by creating the necessary input files as expected.
- outpath is where the output is to be stored.
- options is the optparse options object.
- input_files is a list of paths to input files.
'''
job... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_stdlib'}, {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '7', '12', '49', '74'... | def load_stdlib():
'''Scans sys.path for standard library modules.
'''
if _stdlib:
return _stdlib
prefixes = tuple({os.path.abspath(p) for p in (
sys.prefix,
getattr(sys, 'real_prefix', sys.prefix),
getattr(sys, 'base_prefix', sys.prefix),
)})
for sp in sys.path:
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'is_python_script'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def is_python_script(filename):
'''Checks a file to see if it's a python script of some sort.
'''
if filename.lower().endswith('.py'):
return True
if not os.path.isfile(filename):
return False
try:
with open(filename, 'rb') as fp:
if fp.read(2) != b'
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fit'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'children': [], ... | def fit(dataset, alpha=1e-8, max_iterations=10, save_results=True, show=False):
from disco.worker.pipeline.worker import Worker, Stage
from disco.core import Job, result_iterator
import numpy as np
if dataset.params["y_map"] == []:
raise Exception("Logistic regression requires a target label map... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'draw_image'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', 'chi... | def draw_image(self, image, xmin=0, ymin=0, xmax=None, ymax=None):
if xmax is None:
xmax = xmin + image.size[0]
if ymax is None:
ymax = ymin + image.size[1]
self.bitmap_list.append({'image': image,
'xmin': xmin,
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_prepare_data'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | def _prepare_data(self):
xmin, xmax = self.limits['xmin'], self.limits['xmax']
self.prepared_plot_series_list = []
for series in self.plot_series_list:
prepared_series = series.copy()
data = prepared_series['data']
x, _, _, _ = zip(*data)
if sorted... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'get_departures'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'childre... | def get_departures(self, stop_id, route, destination, api_key):
self.stop_id = stop_id
self.route = route
self.destination = destination
self.api_key = api_key
url = \
'https://api.transport.nsw.gov.au/v1/tp/departure_mon?' \
'outputFormat=rapidJSON&coordO... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pw'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9', '10', '11', '12']}; {'id': '4', 'type': 'identifie... | def pw(
ctx,
key_pattern,
user_pattern,
mode,
strict_flag,
user_flag,
file,
edit_subcommand,
gen_subcommand,
):
def handle_sigint(*_):
click.echo()
ctx.exit(1)
signal.signal(signal.SIGINT, handle_sigint)
if gen_subcommand:
length = int(key_pattern)... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'launch_editor'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | def launch_editor(ctx, file):
editor = os.environ.get("PW_EDITOR")
if not editor:
click.echo("error: no editor set in PW_EDITOR environment variables")
ctx.exit(1)
if not os.path.exists(file):
click.echo("error: password store not found at '%s'" % file, err=True)
ctx.exit(1)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fit'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sim... | def fit(sim_mat, D_len, cidx):
min_energy = np.inf
for j in range(3):
inds = [np.argmin([sim_mat[idy].get(idx, 0) for idx in cidx]) for idy in range(D_len) if idy in sim_mat]
cidx = []
energy = 0
for i in np.unique(inds):
indsi = np.where(inds == i)[0]
min... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'authenticate'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def authenticate(self, request, remote_user=None):
if not remote_user:
remote_user = request
if not remote_user:
return None
user = None
username = self.clean_username(remote_user)
try:
if self.create_unknown_user:
defaults = {}... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'bc2pg'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9', '10', '11', '12']}; {'id': '4', 'type': 'identi... | def bc2pg(dataset, db_url, table, schema, query, append, pagesize, sortby, max_workers):
src = bcdata.validate_name(dataset)
src_schema, src_table = [i.lower() for i in src.split(".")]
if not schema:
schema = src_schema
if not table:
table = src_table
conn = pgdata.connect(db_url)
... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__parseFormat'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [... | def __parseFormat(self, fmt, content, fps = 25):
'''Actual parser. Please note that time_to is not required to process as not all subtitles
provide it.'''
headerFound = False
subSection = ''
for lineNo, line in enumerate(content):
line = self._initialLinePrepare(line,... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_json'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', 'chil... | def _get_json(self, model, space=None, rel_path=None, extra_params=None, get_all=None):
if space is None and model not in (Space, Event):
raise Exception(
'In general, `API._get_json` should always '
'be called with a `space` argument.'
)
if not ex... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_config'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | def load_config(app_name, *args, **kwargs):
configure_logging()
prefix = kwargs.get('prefix', 'etc')
verbose = kwargs.get('verbose', False)
location = kwargs.get('location', None)
passphrase = kwargs.get('passphrase',
os.getenv("%s_SETTINGS_CRYPT_KEY" % app_name.upper(),
os.geten... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'predict'}, {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | def predict(tree, x, y=[], dist=False):
node_id = 1
while 1:
nodes = tree[node_id]
if nodes[0][5] == "c":
if x[nodes[0][1]] <= nodes[0][2]:
index, node_id = 0, nodes[0][0]
else:
index, node_id = 1, nodes[1][0]
else:
if x... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pay_with_account_credit_cards'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'childr... | def pay_with_account_credit_cards(invoice_id) -> Optional[Transaction]:
logger.debug('invoice-payment-started', invoice_id=invoice_id)
with transaction.atomic():
invoice = Invoice.objects.select_for_update().get(pk=invoice_id)
if not invoice.in_payable_state:
raise PreconditionError(... |
{'id': '0', 'type': 'module', 'children': ['1']}, {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'handle_django_settings'}, {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | def handle_django_settings(filename):
'''Attempts to load a Django project and get package dependencies from
settings.
Tested using Django 1.4 and 1.8. Not sure if some nuances are missed in
the other versions.
'''
old_sys_path = sys.path[:]
dirpath = os.path.dirname(filename)
project = ... |
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