code stringlengths 51 2.34k | sequence stringlengths 1.16k 13.1k | docstring stringlengths 11 171 |
|---|---|---|
def by_own_time_per_call(stat):
return (-stat.own_time_per_call if stat.own_hits else -stat.own_time,
by_deep_time_per_call(stat)) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'by_own_time_per_call'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Sorting by exclusive elapsed time per call in descending order. |
def rigid_linear_interpolate_by_datetime(datetime_axis, y_axis, datetime_new_axis):
numeric_datetime_axis = [
totimestamp(a_datetime) for a_datetime in datetime_axis
]
numeric_datetime_new_axis = [
totimestamp(a_datetime) for a_datetime in datetime_new_axis
]
return rigid_linear_inte... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'rigid_linear_interpolate_by_datetime'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifie... | A datetime-version that takes datetime object list as x_axis. |
def refine (self, requirements):
assert isinstance(requirements, PropertySet)
if requirements not in self.refined_:
r = property.refine(self.all_, requirements.all_)
self.refined_[requirements] = create(r)
return self.refined_[requirements] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'refine'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Refines this set's properties using the requirements passed as an argument. |
def ipynb_to_rst(directory, filename):
print(filename)
os.chdir(directory)
subprocess.Popen(["ipython", "nbconvert", "--to", "rst",
filename],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=directory) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'ipynb_to_rst'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Converts a given file in a directory to an rst in the same directory. |
def _repr_html_(self):
out="<table class='taqltable'>\n"
if not(self.name()[:4]=="Col_"):
out+="<tr>"
out+="<th><b>"+self.name()+"</b></th>"
out+="</tr>"
cropped=False
rowcount=0
colkeywords=self.getkeywords()
for row in self:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_repr_html_'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Give a nice representation of columns in notebooks. |
def copy(self, **kwargs):
msg = Message(self.encode(), self.gateway)
for key, val in kwargs.items():
setattr(msg, key, val)
return msg | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'copy'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};... | Copy a message, optionally replace attributes with kwargs. |
def _convert_labeled_point_to_libsvm(p):
from pyspark.mllib.regression import LabeledPoint
assert isinstance(p, LabeledPoint)
items = [str(p.label)]
v = _convert_to_vector(p.features)
if isinstance(v, SparseVector):
nnz = len(v.indices)
for i in xrange(nnz... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_convert_labeled_point_to_libsvm'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children'... | Converts a LabeledPoint to a string in LIBSVM format. |
def to_dict(self):
return {
"state_size": self.state_size,
"chain": self.chain.to_json(),
"parsed_sentences": self.parsed_sentences if self.retain_original else None
} | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'to_dict'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {... | Returns the underlying data as a Python dict. |
def flush(self, multithread=True, **kwargs):
if self._write_buf.tell() > 0:
data = self._write_buf.getvalue()
self._write_buf = BytesIO()
if multithread:
self._async_upload_part_request(data, index=self._cur_part, **kwargs)
else:
se... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'flush'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Flushes the internal write buffer. |
def add_upsert(self, value, criteria):
value = value.strip()
v = value.lower()
self.lower_val_to_val[v] = value
criteria_array = self.upserts.get(v)
if criteria_array is None:
criteria_array = []
self.upserts_size[v] = 31 + len(value)
criteria_arra... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_upsert'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Add a tag or populator to the batch by value and criteria |
def unquote(text):
while '%' in text:
newtext = url_unquote(text)
if newtext == text:
break
text = newtext
return text | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'unquote'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'text'}; {... | Replace all percent-encoded entities in text. |
def com_google_fonts_check_name_rfn(ttFont):
failed = False
for entry in ttFont["name"].names:
string = entry.toUnicode()
if "reserved font name" in string.lower():
yield WARN, ("Name table entry (\"{}\")"
" contains \"Reserved Font Name\"."
" This is an error exc... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'com_google_fonts_check_name_rfn'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children':... | Name table strings must not contain the string 'Reserved Font Name'. |
async def on_isupport_targmax(self, value):
if not value:
return
for entry in value.split(','):
command, limit = entry.split(':', 1)
if not limit:
continue
self._target_limits[command] = int(limit) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'on_isupport_targmax'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | The maximum number of targets certain types of commands can affect. |
def _download_images(data, img_cols):
images = collections.defaultdict(list)
for d in data:
for img_col in img_cols:
if d.get(img_col, None):
if isinstance(d[img_col], Image.Image):
images[img_col].append(d[img_col])
else:
with file_io.FileIO(d[img_col], 'rb') as fi:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_download_images'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | Download images given image columns. |
def closeEvent(self, event):
self.stop_process()
self.backend.stop()
try:
self.modes.remove('_LinkHighlighter')
except KeyError:
pass
super(OutputWindow, self).closeEvent(event) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'closeEvent'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | Terminates the child process on close. |
def make_vol_opt(hostdir, contdir, options=None):
vol = '--volume={}:{}'.format(hostdir, contdir)
if options != None:
if isinstance(options, str):
options = (options,)
vol += ':' + ','.join(options)
return vol | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_vol_opt'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Generate a docker volume option |
def _load_market_scheme(self):
try:
self.scheme = yaml.load(open(self.scheme_path, 'r'))
except Exception, error:
raise LoadMarketSchemeFailed(reason=error) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_load_market_scheme'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Load market yaml description |
def add(self, *number):
return self._format_result(sum(
[int(n) for n in number])) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; ... | Adds all parameters interpreted as integers |
def CalcDayOfWeek(self):
year, month, day, day_of_week = self.value
day_of_week = 255
if year == 255:
pass
elif month in _special_mon_inv:
pass
elif day in _special_day_inv:
pass
else:
try:
today = time.mktim... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'CalcDayOfWeek'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Calculate the correct day of the week. |
def find_java_home(cratedb_version: tuple) -> str:
if MIN_VERSION_FOR_JVM11 <= cratedb_version < (4, 0):
return os.environ.get('JAVA_HOME', '')
if cratedb_version < MIN_VERSION_FOR_JVM11:
return _find_matching_java_home(lambda ver: ver[0] == 8)
else:
return _find_matching_java_home(l... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'find_java_home'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'typed_parameter', 'children': ['5',... | Return a path to a JAVA_HOME suites for the given CrateDB version |
def _get_ann(dbs, features):
value = ""
for db, feature in zip(dbs, features):
value += db + ":" + feature
return value | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_ann'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'dbs... | Gives format to annotation for html table output |
def normalize_time(timestamp):
offset = timestamp.utcoffset()
if offset is None:
return timestamp
return timestamp.replace(tzinfo=None) - offset | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'normalize_time'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ti... | Normalize time in arbitrary timezone to UTC naive object. |
def load_children(self, f):
while True:
line = self.readline(f)
if line[0] == '&':
if line[1:].startswith("END"):
check_name = line[4:].strip().upper()
if check_name != self.__name:
raise FileFormatError("CP2... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_children'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | Load the children of this section from a file-like object |
def authenticate_credentials(self, request, access_token):
try:
token = oauth2_provider.oauth2.models.AccessToken.objects.select_related('user')
token = token.get(token=access_token, expires__gt=provider_now())
except oauth2_provider.oauth2.models.AccessToken.DoesNotExist:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'authenticate_credentials'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childre... | Authenticate the request, given the access token. |
def select(self):
if sys.platform=='win32':
self.dc.SelectObject(self.bitmap)
self.IsSelected = True | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'select'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'... | Select the current bitmap into this wxDC instance |
def update_buildroot_koji(self, buildroot, output):
docker = output[1]['extra']['docker']
name = ''
for tag in docker['tags']:
for repo in docker['repositories']:
if tag in repo:
iname = ImageName.parse(repo)
name = iname.to_str... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'update_buildroot_koji'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children':... | put the final koji information in the buildroot under extra.osbs |
def multidict(ordered_pairs):
d = defaultdict(list)
for k, v in ordered_pairs:
d[k].append(v)
dict_copy = deepcopy(d)
for k, v in iteritems(dict_copy):
if len(v) == 1:
d[k] = v[0]
return dict(d) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'multidict'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ordered... | Convert duplicate keys values to lists. |
def tag_map(self):
tm = dd(list)
for tag in self.__tags:
tm[tag.tagtype].append(tag)
return tm | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'tag_map'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {... | Build a map from tagtype to list of tags |
async def _set_subscriptions(self, subscriptions):
url, params = self._get_subscriptions_endpoint()
data = {
'object': 'page',
'callback_url': self.webhook_url,
'fields': ', '.join(subscriptions),
'verify_token': self.verify_token,
}
header... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_set_subscriptions'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Set the subscriptions to a specific list of values |
def add_last_closed_file(self, fname):
if fname in self.last_closed_files:
self.last_closed_files.remove(fname)
self.last_closed_files.insert(0, fname)
if len(self.last_closed_files) > 10:
self.last_closed_files.pop(-1) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_last_closed_file'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Add to last closed file list. |
def mapstr_to_list(mapstr):
maplist = []
with StringIO(mapstr) as infile:
for row in infile:
maplist.append(row.strip())
return maplist | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'mapstr_to_list'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ma... | Convert an ASCII map string with rows to a list of strings, 1 string per row. |
def clear(self):
self._imgobj = None
try:
self.canvas.delete_object_by_tag(self._canvas_img_tag)
self.redraw()
except KeyError:
pass | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'clear'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'i... | Clear the displayed image. |
def interfaces(self):
if not self._interfaces_cache:
response = yield from self.get("/network/interfaces")
self._interfaces_cache = response.json
return self._interfaces_cache | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'interfaces'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | Get the list of network on compute |
def __update_rating(uid, rating):
entry = TabPost.update(
rating=rating
).where(TabPost.uid == uid)
entry.execute() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__update_rating'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Update the rating for post. |
def unpy2exe(filename, python_version=None, output_dir=None):
if output_dir is None:
output_dir = '.'
elif not os.path.exists(output_dir):
os.makedirs(output_dir)
pe = pefile.PE(filename)
is_py2exe = check_py2exe_file(pe)
if not is_py2exe:
raise ValueError('Not a py2exe execu... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'unpy2exe'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Process input params and produce output pyc files. |
def _django_to_es_field(self, field):
from django.db import models
prefix = ""
if field.startswith("-"):
prefix = "-"
field = field.lstrip("-")
if field in ["id", "pk"]:
return "_id", models.AutoField
try:
dj_field, _, _, _ = self.m... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_django_to_es_field'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | We use this function in value_list and ordering to get the correct fields name |
def stderr_file(self):
stderr_file = None
if self.connection_file is not None:
stderr_file = self.kernel_id + '.stderr'
if self.stderr_dir is not None:
stderr_file = osp.join(self.stderr_dir, stderr_file)
else:
try:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'stderr_file'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Filename to save kernel stderr output. |
def create_configwidget(self, parent):
if self.CONFIGWIDGET_CLASS is not None:
configwidget = self.CONFIGWIDGET_CLASS(self, parent)
configwidget.initialize()
return configwidget | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_configwidget'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | Create configuration dialog box page widget |
def label_from_func(self, func:Callable, label_cls:Callable=None, **kwargs)->'LabelList':
"Apply `func` to every input to get its label."
return self._label_from_list([func(o) for o in self.items], label_cls=label_cls, **kwargs) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '16', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'label_from_func'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '9', '14']}; {'id': '4', 'type': 'identifier', 'chi... | Apply `func` to every input to get its label. |
def _hierarchy(self):
self.hierarchy = {}
for rank in self.taxonomy:
taxslice = self._slice(level=self.taxonomy.index(rank))
self.hierarchy[rank] = self._group(taxslice) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_hierarchy'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | Generate dictionary of referenced idents grouped by shared rank |
def from_name(cls, name):
result = cls.list()
dc_names = {}
for dc in result:
dc_names[dc['name']] = dc['id']
return dc_names.get(name) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'from_name'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'cl... | Retrieve datacenter id associated to a name. |
def full_analysis(self, analysis_set, output_directory, verbose = True, compile_pdf = True, quick_plots = False):
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
self.analysis_directory = output_directory
self.calculate_metrics(analysis_set = analysis_set, analy... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'full_analysis'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10', '13']}; {'id': '4', 'type': 'identifier', '... | Combines calculate_metrics, write_dataframe_to_csv, and plot |
def pull_repo(repo_name):
repo = ClonedRepo.objects.get(pk=repo_name)
repo.pull() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pull_repo'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'repo_na... | Pull from origin for repo_name. |
def _get_websocket(self, reuse=True):
if self.ws and reuse:
if self.ws.connected:
return self.ws
logging.debug("Stale connection, reconnecting.")
self.ws = self._create_connection()
return self.ws | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_websocket'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Reuse existing connection or create a new connection. |
def vec_by_id(self, docid):
pos = self.id2pos[docid]
return self.qindex.vector_by_id(pos) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'vec_by_id'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | Return indexed vector corresponding to document `docid`. |
def drain_events(self, allowed_methods=None, timeout=None):
return self.wait_multi(self.channels.values(), timeout=timeout) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'drain_events'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Wait for an event on any channel. |
def fan_maxcfm(ddtt):
if str(ddtt.Maximum_Flow_Rate).lower() == 'autosize':
return 'autosize'
else:
m3s = float(ddtt.Maximum_Flow_Rate)
return m3s2cfm(m3s) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fan_maxcfm'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ddtt'}... | return the fan max cfm |
def open_fileswitcher(self, symbol=False):
if self.fileswitcher is not None and \
self.fileswitcher.is_visible:
self.fileswitcher.hide()
self.fileswitcher.is_visible = False
return
if symbol:
self.fileswitcher.plugin = self.editor
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'open_fileswitcher'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Open file list management dialog box. |
def sodium_memcmp(inp1, inp2):
ensure(isinstance(inp1, bytes),
raising=exc.TypeError)
ensure(isinstance(inp2, bytes),
raising=exc.TypeError)
ln = max(len(inp1), len(inp2))
buf1 = ffi.new("char []", ln)
buf2 = ffi.new("char []", ln)
ffi.memmove(buf1, inp1, len(inp1))
ffi... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sodium_memcmp'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | Compare contents of two memory regions in constant time |
def load_template_source(template_name, template_dirs=None):
template_zipfiles = getattr(settings, "TEMPLATE_ZIP_FILES", [])
for fname in template_zipfiles:
try:
z = zipfile.ZipFile(fname)
source = z.read(template_name)
except (IOError, KeyError):
continue
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_template_source'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Template loader that loads templates from a ZIP file. |
def start(self):
self._events_to_write = []
self._new_contracts_to_write = []
@events.on(SmartContractEvent.CONTRACT_CREATED)
@events.on(SmartContractEvent.CONTRACT_MIGRATED)
def call_on_success_event(sc_event: SmartContractEvent):
self.on_smart_contract_created(sc_ev... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'start'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'i... | Handle EventHub events for SmartContract decorators |
def create_from_eflux(cls, params, emin, emax, eflux, scale=1.0):
params = params.copy()
params[0] = 1.0
params[0] = eflux / cls.eval_eflux(emin, emax, params, scale=scale)
return cls(params, scale) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_from_eflux'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9']}; {'id': '4', 'type': 'identifier',... | Create a spectral function instance given its energy flux. |
def load(self):
try:
self._read()
self._parse()
except Exception as exc:
self.failed = True
params = {'path': self._path, 'exception': exc}
if self.fail_silently:
LOG.warning("Error processing message json file '%(path)s': "
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'id... | Read and parse the message file. |
def rgb2short(r, g, b):
r, g, b = [len(tuple(s for s in snaps if s < x)) for x in (r, g, b)]
return (r * 36) + (g * 6) + b + 16 | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'rgb2short'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Converts RGB values to the nearest equivalent xterm-256 color. |
def can_user_approve_this_page(self, user):
self.ensure_one()
if not self.is_approval_required:
return True
if user.has_group('document_page.group_document_manager'):
return True
if not user.has_group(
'document_page_approval.group_document_approve... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'can_user_approve_this_page'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children':... | Check if a user can approve this page. |
def _styleof(expr, styles):
style = dict()
for expr_filter, sty in styles:
if expr_filter(expr):
style.update(sty)
return style | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_styleof'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'exp... | Merge style dictionaries in order |
def connection_made(self, transport):
self.logger.info('Connection made at object %s', id(self))
self.transport = transport
self.keepalive = True
if self._timeout:
self.logger.debug('Registering timeout event')
self._timout_handle = self._loop.call_later(
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'connection_made'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Called when the connection is made |
def _get_vswitch_for_physical_network(self, phys_network_name):
for pattern in self._physical_network_mappings:
if phys_network_name is None:
phys_network_name = ''
if re.match(pattern, phys_network_name):
return self._physical_network_mappings[pattern] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_vswitch_for_physical_network'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'chi... | Get the vswitch name for the received network name. |
def _md5(path, blocksize=2 ** 20):
m = hashlib.md5()
with open(path, 'rb') as f:
while True:
buf = f.read(blocksize)
if not buf:
break
m.update(buf)
return m.hexdigest() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_md5'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'path'}... | Compute the checksum of a file. |
def doc_browse(self, args, range=None):
self.log.debug('browse: in')
self.call_options[self.call_id] = {"browse": True}
self.send_at_position("DocUri", False, "point") | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'doc_browse'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Browse doc of whatever at cursor. |
def _pulse_enable(self):
GPIO.output(self.pins.e, 0)
c.usleep(1)
GPIO.output(self.pins.e, 1)
c.usleep(1)
GPIO.output(self.pins.e, 0)
c.usleep(100) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_pulse_enable'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Pulse the `enable` flag to process data. |
def _add_spanning_relation(self, source, target):
self.add_edge(source, target, layers={self.ns, self.ns+':unit'},
edge_type=EdgeTypes.spanning_relation) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_add_spanning_relation'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children'... | add a spanning relation to this docgraph |
def add(self, queue_name, transactional=False):
task = self.to_task()
task.add(queue_name, transactional) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Add task to the queue. |
def _make_index(df, cols=META_IDX):
return pd.MultiIndex.from_tuples(
pd.unique(list(zip(*[df[col] for col in cols]))), names=tuple(cols)) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_make_index'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Create an index from the columns of a dataframe |
def _call(self, x, out=None):
if out is None:
out = self.range.element()
with writable_array(out) as out_arr:
finite_diff(x.asarray(), axis=self.axis, dx=self.dx,
method=self.method, pad_mode=self.pad_mode,
pad_const=self.pad_const,... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_call'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | Calculate partial derivative of ``x``. |
def homer_stats_table_interChr(self):
headers = OrderedDict()
headers['InterChr'] = {
'title': 'InterChr',
'description': 'Fraction of Reads forming inter chromosomal interactions',
'format': '{:,.4f}'
}
self.general_stats_addcols(self.tagdir_data['Fre... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'homer_stats_table_interChr'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], ... | Add core HOMER stats to the general stats table from FrequencyDistribution file |
def del_actor(self, actor):
if _debug: TCPClientDirector._debug("del_actor %r", actor)
del self.clients[actor.peer]
if self.serviceElement:
self.sap_request(del_actor=actor)
if actor.peer in self.reconnect:
connect_task = FunctionTask(self.connect, actor.peer)
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'del_actor'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | Remove an actor when the socket is closed. |
def matches_truth(call_alleles, truth_alleles, data):
if not truth_alleles:
return ""
else:
def _remove_p(x):
return x[:-1] if x.endswith("P") else x
t_cmp = set([_remove_p(hla_groups.hla_protein(x, data)) for x in truth_alleles])
c_cmp = set([_remove_p(hla_groups.hla... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'matches_truth'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Flexibly check if truth and call alleles match, using p-groups. |
def fetch(elastic, backend, limit=None, search_after_value=None, scroll=True):
logging.debug("Creating a elastic items generator.")
elastic_scroll_id = None
search_after = search_after_value
while True:
if scroll:
rjson = get_elastic_items(elastic, elastic_scroll_id, limit)
e... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '15']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fetch'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12']}; {'id': '4', 'type': 'identifier', 'children': [],... | Fetch the items from raw or enriched index |
def _update_const_classes():
klasses = (bool, int, float, complex, str, bytes)
for kls in klasses:
CONST_CLS[kls] = Const | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_update_const_classes'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '15']}; {'i... | update constant classes, so the keys of CONST_CLS can be reused |
def _relative_uris(self, uri_list):
return [u for u in (self._relative(uri) for uri in uri_list) if u] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_relative_uris'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | if uris in list are relative, re-relate them to our basedir |
def setup_custom_logger(name):
global loggers
if loggers.get(name):
return loggers.get(name)
formatter = logging.Formatter(
fmt='%(levelname)s: %(message)s'
)
handler = TqdmLoggingHandler()
handler.setFormatter(formatter)
if system() not in ['Windows', 'cli']:
logging... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'setup_custom_logger'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Create a logger with a certain name and level |
def notify_exception(self, exception, run_done_callbacks=True):
logger.error("%s : %s" % (exception.__class__.__name__, str(exception)))
self._exception = exception
if self.is_running(True):
for _cnt in range(0, 5):
if not self._cancel():
time.slee... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'notify_exception'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ... | set the exception message, stop transfer if running and set the done event |
def update_params(self, params):
if not params.get('BINARY', True):
raise Warning('To increase performance please use ElastiCache'
' in binary mode')
else:
params['BINARY'] = True
if 'OPTIONS' not in params:
params['OPTIONS'] = {
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'update_params'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | update connection params to maximize performance |
def run(self):
self._clearQuantities()
self._clearPrices()
self._clipPrices()
self._logClearances()
return self.offers, self.bids | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'run'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'id'... | Clears a set of bids and offers. |
def parse_negation_operation(operation: str) -> Tuple[bool, str]:
_operation = operation.strip()
if not _operation:
raise QueryParserException('Operation is not valid: {}'.format(operation))
negation = False
if _operation[0] == '~':
negation = True
_operation = _operation[1:]
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_negation_operation'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'typed_parameter', 'childr... | Parse the negation modifier in an operation. |
def _basis_polynomial_factory(cls, kind):
valid_kind = cls._validate(kind)
basis_polynomial = getattr(np.polynomial, valid_kind)
return basis_polynomial | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_basis_polynomial_factory'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': ... | Return a polynomial given some coefficients. |
def validate_file_permissions(config):
files = config.get('files', {})
for file_name, options in files.items():
for key in options.keys():
if key not in ["owner", "group", "mode"]:
raise RuntimeError(
"Invalid ownership configuration: {}".format(key))
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'validate_file_permissions'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Verify that permissions on configuration files are secure enough. |
def _set_duty(self, motor_duty_file, duty, friction_offset,
voltage_comp):
duty_int = int(round(duty*voltage_comp))
if duty_int > 0:
duty_int = min(100, duty_int + friction_offset)
elif duty_int < 0:
duty_int = max(-100, duty_int - friction_offset)
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_set_duty'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'children': [... | Function to set the duty cycle of the motors. |
def imagenet_clamp_batch(batch, low, high):
F.clip(batch[:,0,:,:],low-123.680, high-123.680)
F.clip(batch[:,1,:,:],low-116.779, high-116.779)
F.clip(batch[:,2,:,:],low-103.939, high-103.939) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'imagenet_clamp_batch'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': ... | Not necessary in practice |
def to_csv(self, fileobj=sys.stdout):
openclose = is_string(fileobj)
if openclose:
fileobj = open(fileobj, "w")
for idx, section in enumerate(self.sections):
fileobj.write(section.to_csvline(with_header=(idx == 0)))
fileobj.flush()
if openclose:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'to_csv'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | Write data on file fileobj using CSV format. |
def GetConfigPolicy(self, request, context):
try:
policy = self.plugin.get_config_policy()
return policy._pb
except Exception as err:
msg = "message: {}\n\nstack trace: {}".format(
err.message, traceback.format_exc())
return GetConfigPolicy... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'GetConfigPolicy'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Dispatches the request to the plugins get_config_policy method |
def preproc_directive(self) -> bool:
self._stream.save_context()
if self.read_until("\n", '\\'):
return self._stream.validate_context()
return self._stream.restore_context() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'preproc_directive'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Consume a preproc directive. |
def map(self, width, height):
template = ti.load(os.path.join(script_dir, 'assets', 'template.tmx'))['map0']
template.set_view(0, 0, width*template.tw, height*template.th)
border_x = template.cells[width]
for y in xrange(0,height+1):
border_x[y].tile = template.cells[0][0].ti... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'map'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Creates and returns a new randomly generated map |
def dateadd(value: fields.DateTime(),
addend: fields.Int(validate=Range(min=1)),
unit: fields.Str(validate=OneOf(['minutes', 'days']))='days'):
value = value or dt.datetime.utcnow()
if unit == 'minutes':
delta = dt.timedelta(minutes=addend)
else:
delta = dt.timedelta(... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '45']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dateadd'}; {'id': '3', 'type': 'parameters', 'children': ['4', '12', '28']}; {'id': '4', 'type': 'typed_parameter', 'children': ['5',... | Add a value to a date. |
def _update_or_init_po_files(target, source, env):
import SCons.Action
from SCons.Tool.GettextCommon import _init_po_files
for tgt in target:
if tgt.rexists():
action = SCons.Action.Action('$MSGMERGECOM', '$MSGMERGECOMSTR')
else:
action = _init_po_files
status = action([tgt], source, env)
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_update_or_init_po_files'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childre... | Action function for `POUpdate` builder |
def folderitems(self):
items = super(AnalysisRequestAnalysesView, self).folderitems()
self.categories.sort()
return items | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'folderitems'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | XXX refactor if possible to non-classic mode |
def assemble_english():
if request.method == 'OPTIONS':
return {}
response = request.body.read().decode('utf-8')
body = json.loads(response)
stmts_json = body.get('statements')
stmts = stmts_from_json(stmts_json)
sentences = {}
for st in stmts:
enga = EnglishAssembler()
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'assemble_english'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '14', '29', '38'... | Assemble each statement into |
def visit_Variable(self, node):
var_name = node.identifier.name
var_symbol = self.table[var_name]
if var_symbol is None:
raise SementicError(f"Variable `{var_name}` is not declared.") | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'visit_Variable'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Visitor for `Variable` AST node. |
async def _set_whitelist(self):
page = self.settings()
if 'whitelist' in page:
await self._send_to_messenger_profile(page, {
'whitelisted_domains': page['whitelist'],
})
logger.info('Whitelisted %s for page %s',
page['whitelist'... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_set_whitelist'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | Whitelist domains for the messenger extensions |
def submit_tag_batch(self, batch):
url = '%s/api/v5/batch/tags' % self.base_url
self._submit_batch(url, batch) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'submit_tag_batch'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | Submit a tag batch |
def _elements(cls):
if not cls.__is_selector():
raise Exception("Invalid selector[%s]." %cls.__control["by"])
driver = Web.driver
try:
elements = WebDriverWait(driver, cls.__control["timeout"]).until(lambda driver: getattr(driver,"find_elements")(cls.__co... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_elements'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'cls'}; ... | find the elements with controls |
def _roots_to_targets(self, build_graph, target_roots):
with self._run_tracker.new_workunit(name='parse', labels=[WorkUnitLabel.SETUP]):
return [
build_graph.get_target(address)
for address
in build_graph.inject_roots_closure(target_roots, self._fail_fast)
] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_roots_to_targets'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [],... | Populate the BuildGraph and target list from a set of input TargetRoots. |
def create_parameterized_CAG(input, output, filename="CAG_with_indicators_and_values.pdf"):
with open(input, "rb") as f:
G = pickle.load(f)
G.parameterize(year=2017, month=4)
G.get_timeseries_values_for_indicators()
with open(output, "wb") as f:
pickle.dump(G, f) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_parameterized_CAG'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childre... | Create a CAG with mapped and parameterized indicators |
def class_name_for_annotation_type(annotation_type, ns=None):
assert isinstance(annotation_type, AnnotationType)
name = fmt_class(annotation_type.name)
if ns:
return prefix_with_ns_if_necessary(name, annotation_type.namespace, ns)
return name | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'class_name_for_annotation_type'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'childr... | Same as class_name_for_data_type, but works with annotation types. |
def delete_video(video_id, cascade=False, delete_shares=False,
_connection=None):
c = _connection
if not c:
c = connection.APIConnection()
c.post('delete_video', video_id=video_id, cascade=cascade,
delete_shares=delete_shares) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'delete_video'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11']}; {'id': '4', 'type': 'identifier', 'children': [... | Delete the video represented by the ``video_id`` parameter. |
def add_parameters(parser):
group = parser.add_argument_group('Evaluation arguments')
group.add_argument('--eval-batch-size', type=int, default=1024)
group.add_argument(
'--similarity-datasets', type=str,
default=nlp.data.word_embedding_evaluation.word_similarity_datasets,
nargs='*',... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_parameters'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'pa... | Add evaluation specific parameters to parser. |
def _get_taxon(taxon):
if not taxon:
return None
sep = taxon.find(':')
taxid = taxon[sep + 1:]
assert taxid.isdigit(), "UNEXPECTED TAXON({T})".format(T=taxid)
return int(taxid) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_taxon'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'taxon'... | Return Interacting taxon ID | optional | 0 or 1 | gaf column 13. |
def parse_sig(sig):
label, sig = sig
assert label == b'sig-val'
algo_name = sig[0]
parser = {b'rsa': _parse_rsa_sig,
b'ecdsa': _parse_ecdsa_sig,
b'eddsa': _parse_eddsa_sig,
b'dsa': _parse_dsa_sig}[algo_name]
return parser(args=sig[1:]) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_sig'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sig'}; ... | Parse signature integer values from s-expr. |
def stashed(func):
@functools.wraps(func)
def _wrapper(*args, **kwargs):
if CTX.stash and not CTX.repo.stashed:
CTX.repo.stash(func.__name__)
try:
func(*args, **kwargs)
finally:
CTX.repo.unstash()
else:
func(*args, *... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'stashed'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'func'}; {... | Simple decorator to stash changed files between a destructive repo operation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.