code stringlengths 64 7.01k | docstring stringlengths 2 15.8k | text stringlengths 144 19.2k |
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#vtb
def same_log10_order_of_magnitude(x, delta=0.1):
dmin = np.log10(np.min(x)*(1-delta))
dmax = np.log10(np.max(x)*(1+delta))
return np.floor(dmin) == np.floor(dmax) | Return true if range is approximately in same order of magnitude
For example these sequences are in the same order of magnitude:
- [1, 8, 5] # [1, 10)
- [35, 20, 80] # [10 100)
- [232, 730] # [100, 1000)
Parameters
----------
x : array-like
Values in base 10. ... | ### Input:
Return true if range is approximately in same order of magnitude
For example these sequences are in the same order of magnitude:
- [1, 8, 5] # [1, 10)
- [35, 20, 80] # [10 100)
- [232, 730] # [100, 1000)
Parameters
----------
x : array-like
Values ... |
#vtb
def surrogateescape_handler(exc):
mystring = exc.object[exc.start:exc.end]
try:
if isinstance(exc, UnicodeDecodeError):
decoded = replace_surrogate_decode(mystring)
elif isinstance(exc, UnicodeEncodeError):
... | Pure Python implementation of the PEP 383: the "surrogateescape" error
handler of Python 3. Undecodable bytes will be replaced by a Unicode
character U+DCxx on decoding, and these are translated into the
original bytes on encoding. | ### Input:
Pure Python implementation of the PEP 383: the "surrogateescape" error
handler of Python 3. Undecodable bytes will be replaced by a Unicode
character U+DCxx on decoding, and these are translated into the
original bytes on encoding.
### Response:
#vtb
def surrogateescape_handler(exc):
m... |
#vtb
def index(self, key, default=UNSET):
self._find_lt(key)
node = self._path[0][2]
if node is self._tail or key < node[0]:
if default is self.UNSET:
raise KeyError(.format(key))
return default
return self._distance[0] | Find the first key-value pair with key *key* and return its position.
If the key is not found, return *default*. If default was not provided,
raise a ``KeyError`` | ### Input:
Find the first key-value pair with key *key* and return its position.
If the key is not found, return *default*. If default was not provided,
raise a ``KeyError``
### Response:
#vtb
def index(self, key, default=UNSET):
self._find_lt(key)
node = self._path[0][2]
... |
#vtb
def eval(self, code, mode="single"):
if isinstance(code, string_types):
if PY2 and isinstance(code, text_type):
code = UTF8_COOKIE + code.encode("utf-8")
code = compile(code, "<interactive>", mode)
return eval(code, self.globals, self.locals) | Evaluate code in the context of the frame. | ### Input:
Evaluate code in the context of the frame.
### Response:
#vtb
def eval(self, code, mode="single"):
if isinstance(code, string_types):
if PY2 and isinstance(code, text_type):
code = UTF8_COOKIE + code.encode("utf-8")
code = compile(code, "<interacti... |
#vtb
def to_set_field(cls):
class SetConverter(object):
def __init__(self, cls):
self._cls = cls
@property
def cls(self):
return resolve_class(self._cls)
def __call__(self, values):
values = values or set()
args = {to_model(self... | Returns a callable instance that will convert a value to a Sequence.
:param cls: Valid class type of the items in the Sequence.
:return: instance of the SequenceConverter. | ### Input:
Returns a callable instance that will convert a value to a Sequence.
:param cls: Valid class type of the items in the Sequence.
:return: instance of the SequenceConverter.
### Response:
#vtb
def to_set_field(cls):
class SetConverter(object):
def __init__(self, cls):
s... |
#vtb
def _close_cursor_now(self, cursor_id, address=None):
if not isinstance(cursor_id, integer_types):
raise TypeError("cursor_id must be an instance of (int, long)")
if self.__cursor_manager is not None:
self.__cursor_manager.close(cursor_id, address)
else:
... | Send a kill cursors message with the given id.
What closing the cursor actually means depends on this client's
cursor manager. If there is none, the cursor is closed synchronously
on the current thread. | ### Input:
Send a kill cursors message with the given id.
What closing the cursor actually means depends on this client's
cursor manager. If there is none, the cursor is closed synchronously
on the current thread.
### Response:
#vtb
def _close_cursor_now(self, cursor_id, address=None):
... |
#vtb
def request_verification(self, user, identity):
return UserIdentityRequest(self).put(self.endpoint.request_verification, user, identity) | Sends the user a verification email with a link to verify ownership of the email address.
:param user: User id or object
:param identity: Identity id or object
:return: requests Response object | ### Input:
Sends the user a verification email with a link to verify ownership of the email address.
:param user: User id or object
:param identity: Identity id or object
:return: requests Response object
### Response:
#vtb
def request_verification(self, user, identity):
retu... |
#vtb
def free_params(self, value):
value = scipy.asarray(value, dtype=float)
self.K_up_to_date = False
self.k.free_params = value[:self.k.num_free_params]
self.noise_k.free_params = value[self.k.num_free_params:self.k.num_free_params + self.noise_k.num_free_params]
if se... | Set the free parameters. Note that this bypasses enforce_bounds. | ### Input:
Set the free parameters. Note that this bypasses enforce_bounds.
### Response:
#vtb
def free_params(self, value):
value = scipy.asarray(value, dtype=float)
self.K_up_to_date = False
self.k.free_params = value[:self.k.num_free_params]
self.noise_k.free_params = value... |
#vtb
def _local_pauli_eig_meas(op, idx):
if op == :
return Program(RY(-pi / 2, idx))
elif op == :
return Program(RX(pi / 2, idx))
elif op == :
return Program()
raise ValueError(f) | Generate gate sequence to measure in the eigenbasis of a Pauli operator, assuming
we are only able to measure in the Z eigenbasis. (Note: The unitary operations of this
Program are essentially the Hermitian conjugates of those in :py:func:`_one_q_pauli_prep`) | ### Input:
Generate gate sequence to measure in the eigenbasis of a Pauli operator, assuming
we are only able to measure in the Z eigenbasis. (Note: The unitary operations of this
Program are essentially the Hermitian conjugates of those in :py:func:`_one_q_pauli_prep`)
### Response:
#vtb
def _local_pauli_eig... |
#vtb
def emit(self, record):
if record.args and isinstance(record.args, collections.Mapping):
extra = dict(self._extra, **record.args)
else:
extra = self._extra
try:
msg = self.format(record)
pri = self.mapPriority(record.levelno)
... | Write record as journal event.
MESSAGE is taken from the message provided by the
user, and PRIORITY, LOGGER, THREAD_NAME,
CODE_{FILE,LINE,FUNC} fields are appended
automatically. In addition, record.MESSAGE_ID will be
used if present. | ### Input:
Write record as journal event.
MESSAGE is taken from the message provided by the
user, and PRIORITY, LOGGER, THREAD_NAME,
CODE_{FILE,LINE,FUNC} fields are appended
automatically. In addition, record.MESSAGE_ID will be
used if present.
### Response:
#vtb
def emit(sel... |
#vtb
def periodic_distance(a, b, periodic):
a = np.array(a)
b = np.array(b)
periodic = np.array(periodic)
delta = np.abs(a - b)
delta = np.where(delta > 0.5 * periodic, periodic - delta, delta)
return np.sqrt((delta ** 2).sum(axis=-1)) | Periodic distance between two arrays. Periodic is a 3
dimensional array containing the 3 box sizes. | ### Input:
Periodic distance between two arrays. Periodic is a 3
dimensional array containing the 3 box sizes.
### Response:
#vtb
def periodic_distance(a, b, periodic):
a = np.array(a)
b = np.array(b)
periodic = np.array(periodic)
delta = np.abs(a - b)
delta = np.where(delta > 0.5 * peri... |
#vtb
def unpack_from_dict(fmt, names, data, offset=0):
return CompiledFormatDict(fmt, names).unpack_from(data, offset) | Same as :func:`~bitstruct.unpack_from_dict()`, but returns a
dictionary.
See :func:`~bitstruct.pack_dict()` for details on `names`. | ### Input:
Same as :func:`~bitstruct.unpack_from_dict()`, but returns a
dictionary.
See :func:`~bitstruct.pack_dict()` for details on `names`.
### Response:
#vtb
def unpack_from_dict(fmt, names, data, offset=0):
return CompiledFormatDict(fmt, names).unpack_from(data, offset) |
#vtb
def is_valid_country_abbrev(abbrev, case_sensitive=False):
if case_sensitive:
country_code = abbrev
else:
country_code = abbrev.upper()
for code, full_name in COUNTRY_TUPLES:
if country_code == code:
return True
return False | Given a country code abbreviation, check to see if it matches the
country table.
abbrev: (str) Country code to evaluate.
case_sensitive: (bool) When True, enforce case sensitivity.
Returns True if valid, False if not. | ### Input:
Given a country code abbreviation, check to see if it matches the
country table.
abbrev: (str) Country code to evaluate.
case_sensitive: (bool) When True, enforce case sensitivity.
Returns True if valid, False if not.
### Response:
#vtb
def is_valid_country_abbrev(abbrev, case_sensitive=F... |
#vtb
def mline_point_(self, col, x=None, y=None, rsum=None, rmean=None):
line = self._multiseries(col, x, y, "line", rsum, rmean)
point = self._multiseries(col, x, y, "point", rsum, rmean)
return line * point | Splits a column into multiple series based on the column's
unique values. Then visualize theses series in a chart.
Parameters: column to split, x axis column, y axis column
Optional: rsum="1D" to resample and sum data an rmean="1D"
to mean the data | ### Input:
Splits a column into multiple series based on the column's
unique values. Then visualize theses series in a chart.
Parameters: column to split, x axis column, y axis column
Optional: rsum="1D" to resample and sum data an rmean="1D"
to mean the data
### Response:
#vtb
def mline_point_(self, col, x=N... |
#vtb
def processStream(self):
print(.format(
, self.width-10))
print(.center(60, ))
self.windowSize = self.verboseRead(WindowSizeAlphabet())
print(.center(60, ))
self.ISLAST = False
self.output = bytearray()
while not self.ISLAST:
... | Process a brotli stream. | ### Input:
Process a brotli stream.
### Response:
#vtb
def processStream(self):
print(.format(
, self.width-10))
print(.center(60, ))
self.windowSize = self.verboseRead(WindowSizeAlphabet())
print(.center(60, ))
self.ISLAST = False
self.output = byt... |
#vtb
def build_recursive_delocalize_command(source, outputs, file_provider):
command = _LOCALIZE_COMMAND_MAP[file_provider]
filtered_outputs = [
var for var in outputs
if var.recursive and var.file_provider == file_provider
]
return .join([
textwrap.dedent().format(
command=comma... | Return a multi-line string with a shell script to copy recursively.
Arguments:
source: Folder with the data.
For example /mnt/data
outputs: a list of OutputFileParam.
file_provider: file provider string used to filter the output params; the
returned command will only apply ou... | ### Input:
Return a multi-line string with a shell script to copy recursively.
Arguments:
source: Folder with the data.
For example /mnt/data
outputs: a list of OutputFileParam.
file_provider: file provider string used to filter the output params; the
returned command will o... |
#vtb
def get_end_balance(self, after: date) -> Decimal:
datum = Datum()
datum.from_date(after)
datum.end_of_day()
return self.get_balance_on(datum.value) | Calculates account balance | ### Input:
Calculates account balance
### Response:
#vtb
def get_end_balance(self, after: date) -> Decimal:
datum = Datum()
datum.from_date(after)
datum.end_of_day()
return self.get_balance_on(datum.value) |
#vtb
def jenks_breaks(values, nb_class):
if not isinstance(values, Iterable) or isinstance(values, (str, bytes)):
raise TypeError("A sequence of numbers is expected")
if isinstance(nb_class, float) and int(nb_class) == nb_class:
nb_class = int(nb_class)
if not isinstance(nb_class, int)... | Compute jenks natural breaks on a sequence of `values`, given `nb_class`,
the number of desired class.
Parameters
----------
values : array-like
The Iterable sequence of numbers (integer/float) to be used.
nb_class : int
The desired number of class (as some other functions requests
... | ### Input:
Compute jenks natural breaks on a sequence of `values`, given `nb_class`,
the number of desired class.
Parameters
----------
values : array-like
The Iterable sequence of numbers (integer/float) to be used.
nb_class : int
The desired number of class (as some other functio... |
#vtb
def fields(self):
fields = super().fields
return apply_subfield_projection(self, copy.copy(fields)) | Filter fields based on request query parameters. | ### Input:
Filter fields based on request query parameters.
### Response:
#vtb
def fields(self):
fields = super().fields
return apply_subfield_projection(self, copy.copy(fields)) |
#vtb
def _get_apphook_field_names(model):
from .models import AppHookConfig
fields = []
for field in model._meta.fields:
if isinstance(field, ForeignKey) and issubclass(field.remote_field.model, AppHookConfig):
fields.append(field)
return [field.name for field in fields] | Return all foreign key field names for a AppHookConfig based model | ### Input:
Return all foreign key field names for a AppHookConfig based model
### Response:
#vtb
def _get_apphook_field_names(model):
from .models import AppHookConfig
fields = []
for field in model._meta.fields:
if isinstance(field, ForeignKey) and issubclass(field.remote_field.model, AppH... |
#vtb
def build_includes(include_packages, freezer=None, optional=None):
freezer = resolve_freezer(freezer)
package_references = _import_packages(include_packages, optional=optional)
includes = freezer.build_includes(package_references)
return includes | Iterate the list of packages to build a complete list of those packages as well as all subpackages.
:param include_packages: list of package names
:type: include_pacakges: list of basestr
:param freezer: The freezer to use (See FREEZER constants)
:param optional: Optional pacakge names to include (will... | ### Input:
Iterate the list of packages to build a complete list of those packages as well as all subpackages.
:param include_packages: list of package names
:type: include_pacakges: list of basestr
:param freezer: The freezer to use (See FREEZER constants)
:param optional: Optional pacakge names to i... |
#vtb
def addchild(self, startip, endip, name, description):
add_child_ip_scope(self.auth, self.url, startip, endip, name, description, self.id) | Method takes inpur of str startip, str endip, name, and description and adds a child scope.
The startip and endip MUST be in the IP address range of the parent scope.
:param startip: str of ipv4 address of the first address in the child scope
:param endip: str of ipv4 address of the last address... | ### Input:
Method takes inpur of str startip, str endip, name, and description and adds a child scope.
The startip and endip MUST be in the IP address range of the parent scope.
:param startip: str of ipv4 address of the first address in the child scope
:param endip: str of ipv4 address of the ... |
#vtb
def add_external_reference(self,term_id, external_ref):
if term_id in self.idx:
term_obj = Cterm(self.idx[term_id],self.type)
term_obj.add_external_reference(external_ref)
else:
print(.format(**locals())) | Adds an external reference for the given term
@type term_id: string
@param term_id: the term identifier
@type external_ref: L{CexternalReference}
@param external_ref: the external reference object | ### Input:
Adds an external reference for the given term
@type term_id: string
@param term_id: the term identifier
@type external_ref: L{CexternalReference}
@param external_ref: the external reference object
### Response:
#vtb
def add_external_reference(self,term_id, external_ref):
... |
#vtb
def ndarray_to_imagedatadict(nparr):
ret = {}
dm_type = None
for k, v in iter(dm_image_dtypes.items()):
if v[1] == nparr.dtype.type:
dm_type = k
break
if dm_type is None and nparr.dtype == numpy.uint8 and nparr.shape[-1] in (3, 4):
ret["DataType"] = 23
... | Convert the numpy array nparr into a suitable ImageList entry dictionary.
Returns a dictionary with the appropriate Data, DataType, PixelDepth
to be inserted into a dm3 tag dictionary and written to a file. | ### Input:
Convert the numpy array nparr into a suitable ImageList entry dictionary.
Returns a dictionary with the appropriate Data, DataType, PixelDepth
to be inserted into a dm3 tag dictionary and written to a file.
### Response:
#vtb
def ndarray_to_imagedatadict(nparr):
ret = {}
dm_type = None... |
#vtb
def get(self, name):
if name in self._storage:
return self._storage[name]
elif name in self._providers:
value = self._storage[name] = self._providers[name](self)
return value
elif name.startswith():
rollout_name = name[8:]
... | Return a value from this evaluator.
Because tensor calculated is cached, it may lead to suble bugs if the same value is used multiple times
with and without no_grad() context.
It is advised in such cases to not use no_grad and stick to .detach() | ### Input:
Return a value from this evaluator.
Because tensor calculated is cached, it may lead to suble bugs if the same value is used multiple times
with and without no_grad() context.
It is advised in such cases to not use no_grad and stick to .detach()
### Response:
#vtb
def get(self, na... |
#vtb
def fault_barrier(fn):
@functools.wraps(fn)
def process(self, tup):
try:
return fn(self, tup)
except Exception as e:
if isinstance(e, KeyboardInterrupt):
return
print(str(e), file=sys.stderr)
self.fail(tup)
return proc... | Method decorator to catch and log errors, then send fail message. | ### Input:
Method decorator to catch and log errors, then send fail message.
### Response:
#vtb
def fault_barrier(fn):
@functools.wraps(fn)
def process(self, tup):
try:
return fn(self, tup)
except Exception as e:
if isinstance(e, KeyboardInterrupt):
... |
#vtb
def dst(self, dt):
dst_start_date = self.first_sunday(dt.year, 3) + timedelta(days=7) \
+ timedelta(hours=2)
dst_end_date = self.first_sunday(dt.year, 11) + timedelta(hours=2)
if dst_start_date <= dt.replace(... | Calculate delta for daylight saving. | ### Input:
Calculate delta for daylight saving.
### Response:
#vtb
def dst(self, dt):
dst_start_date = self.first_sunday(dt.year, 3) + timedelta(days=7) \
+ timedelta(hours=2)
dst_end_date = self.first_sunday(dt.year, 11... |
#vtb
def main():
strWelcome = + __version__
strDec = * len(strWelcome)
print(strDec + + strWelcome + + strDec)
objNspc = get_arg_parse()
if any(item is None for item in [objNspc.strCsvPrf, objNspc.strStmApr]):
print()
print()
print()
e... | pyprf_sim entry point. | ### Input:
pyprf_sim entry point.
### Response:
#vtb
def main():
strWelcome = + __version__
strDec = * len(strWelcome)
print(strDec + + strWelcome + + strDec)
objNspc = get_arg_parse()
if any(item is None for item in [objNspc.strCsvPrf, objNspc.strStmApr]):
... |
#vtb
def from_quad_tree(cls, quad_tree):
assert bool(re.match(, quad_tree)),
zoom = len(str(quad_tree))
offset = int(math.pow(2, zoom)) - 1
google_x, google_y = [reduce(lambda result, bit: (result << 1) | bit, bits, 0)
for bits in zip(*(reversed(di... | Creates a tile from a Microsoft QuadTree | ### Input:
Creates a tile from a Microsoft QuadTree
### Response:
#vtb
def from_quad_tree(cls, quad_tree):
assert bool(re.match(, quad_tree)),
zoom = len(str(quad_tree))
offset = int(math.pow(2, zoom)) - 1
google_x, google_y = [reduce(lambda result, bit: (result << 1) | bit, ... |
#vtb
def _infer_spaces(s):
s = s.lower()
def best_match(i):
candidates = enumerate(reversed(cost[max(0, i - MAXWORD):i]))
return min((c + WORDCOST.get(s[i-k-1: i], 9e999), k + 1)
for k, c in candidates)
cost = [0]
for i in range(1, len(s) + ... | Uses dynamic programming to infer the location of spaces in a string
without spaces. | ### Input:
Uses dynamic programming to infer the location of spaces in a string
without spaces.
### Response:
#vtb
def _infer_spaces(s):
s = s.lower()
def best_match(i):
candidates = enumerate(reversed(cost[max(0, i - MAXWORD):i]))
return min((c + WORDCOST.get(s[i-k-1:... |
#vtb
def from_const(cls, value, size, dtype=type(None)):
assert isinstance(size, (int, long)) and size >= 0, "size must be a positive int"
if not isinstance(value, (type(None), int, float, str, array.array, list, dict, datetime.datetime)):
raise TypeError( % str(type(value)))
... | Constructs an SArray of size with a const value.
Parameters
----------
value : [int | float | str | array.array | list | dict | datetime]
The value to fill the SArray
size : int
The size of the SArray
dtype : type
The type of the SArray. If not spec... | ### Input:
Constructs an SArray of size with a const value.
Parameters
----------
value : [int | float | str | array.array | list | dict | datetime]
The value to fill the SArray
size : int
The size of the SArray
dtype : type
The type of the SArray.... |
#vtb
def show_support_save_status_output_show_support_save_status_percentage_of_completion(self, **kwargs):
config = ET.Element("config")
show_support_save_status = ET.Element("show_support_save_status")
config = show_support_save_status
output = ET.SubElement(show_support_save_... | Auto Generated Code | ### Input:
Auto Generated Code
### Response:
#vtb
def show_support_save_status_output_show_support_save_status_percentage_of_completion(self, **kwargs):
config = ET.Element("config")
show_support_save_status = ET.Element("show_support_save_status")
config = show_support_save_status
... |
#vtb
def to_csv(self, encoding=export.ENCODING, dialect=export.DIALECT,
make_filename=export.MAKE_FILENAME):
for s in self._sheets:
s.to_csv(None, encoding, dialect, make_filename) | Dump all worksheets of the spreadsheet to individual CSV files.
Args:
encoding (str): result string encoding
dialect (str): :mod:`csv` dialect name or object to use
make_filename: template or one-argument callable returning the filename
If ``make_filename`` is a str... | ### Input:
Dump all worksheets of the spreadsheet to individual CSV files.
Args:
encoding (str): result string encoding
dialect (str): :mod:`csv` dialect name or object to use
make_filename: template or one-argument callable returning the filename
If ``make_filenam... |
#vtb
def sanitize_turbo(html, allowed_tags=TURBO_ALLOWED_TAGS, allowed_attrs=TURBO_ALLOWED_ATTRS):
return clean(html, tags=allowed_tags, attributes=allowed_attrs, strip=True) | Sanitizes HTML, removing not allowed tags and attributes.
:param str|unicode html:
:param list allowed_tags: List of allowed tags.
:param dict allowed_attrs: Dictionary with attributes allowed for tags.
:rtype: unicode | ### Input:
Sanitizes HTML, removing not allowed tags and attributes.
:param str|unicode html:
:param list allowed_tags: List of allowed tags.
:param dict allowed_attrs: Dictionary with attributes allowed for tags.
:rtype: unicode
### Response:
#vtb
def sanitize_turbo(html, allowed_tags=TURBO_ALLOWE... |
#vtb
def patch_runtime_class(self, name, body, **kwargs):
kwargs[] = True
if kwargs.get():
return self.patch_runtime_class_with_http_info(name, body, **kwargs)
else:
(data) = self.patch_runtime_class_with_http_info(name, body, **kwargs)
return data | partially update the specified RuntimeClass
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_runtime_class(name, body, async_req=True)
>>> result = thread.get()
:param async_req bool
... | ### Input:
partially update the specified RuntimeClass
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.patch_runtime_class(name, body, async_req=True)
>>> result = thread.get()
:param asy... |
#vtb
def star_stats_table(self):
headers = OrderedDict()
headers[] = {
: ,
: ,
: 100,
: 0,
: ,
:
}
headers[] = {
: .format(config.read_count_prefix),
: .format(config.read_count_des... | Take the parsed stats from the STAR report and add them to the
basic stats table at the top of the report | ### Input:
Take the parsed stats from the STAR report and add them to the
basic stats table at the top of the report
### Response:
#vtb
def star_stats_table(self):
headers = OrderedDict()
headers[] = {
: ,
: ,
: 100,
: 0,
: ... |
#vtb
def get_capabilities_by_ext(self, strict_type_matching: bool = False) -> Dict[str, Dict[Type, Dict[str, Parser]]]:
check_var(strict_type_matching, var_types=bool, var_name=)
res = dict()
for ext in self.get_all_supported_exts_for_type(type_to_match=JOKER, strict=strict_ty... | For all extensions that are supported,
lists all types that can be parsed from this extension.
For each type, provide the list of parsers supported. The order is "most pertinent first"
This method is for monitoring and debug, so we prefer to not rely on the cache, but rather on the query engine... | ### Input:
For all extensions that are supported,
lists all types that can be parsed from this extension.
For each type, provide the list of parsers supported. The order is "most pertinent first"
This method is for monitoring and debug, so we prefer to not rely on the cache, but rather on the ... |
#vtb
def expand_url(url, protocol):
if protocol == :
ws_part =
elif protocol == :
ws_part =
else:
ws_part =
return url.endswith() and url + ws_part or url + + ws_part | Expands the given URL to a full URL by adding
the magento soap/wsdl parts
:param url: URL to be expanded
:param service: 'xmlrpc' or 'soap' | ### Input:
Expands the given URL to a full URL by adding
the magento soap/wsdl parts
:param url: URL to be expanded
:param service: 'xmlrpc' or 'soap'
### Response:
#vtb
def expand_url(url, protocol):
if protocol == :
ws_part =
elif protocol == :
ws_part =
else:
... |
#vtb
def impute_dataframe_range(df_impute, col_to_max, col_to_min, col_to_median):
columns = df_impute.columns
if not set(columns) <= set(col_to_median.keys()) or \
not set(columns) <= set(col_to_max.keys()) or \
not set(columns) <= set(col_to_min.keys()):
raise ValueE... | Columnwise replaces all ``NaNs``, ``-inf`` and ``+inf`` from the DataFrame `df_impute` with average/extreme values
from the provided dictionaries.
This is done as follows: Each occurring ``inf`` or ``NaN`` in `df_impute` is replaced by
* ``-inf`` -> by value in col_to_min
* ``+inf`` -> by valu... | ### Input:
Columnwise replaces all ``NaNs``, ``-inf`` and ``+inf`` from the DataFrame `df_impute` with average/extreme values
from the provided dictionaries.
This is done as follows: Each occurring ``inf`` or ``NaN`` in `df_impute` is replaced by
* ``-inf`` -> by value in col_to_min
* ``+inf`... |
#vtb
def multiple_choice_field_data(field, **kwargs):
if field.choices:
from django_any.functions import valid_choices
l = list(valid_choices(field.choices))
random.shuffle(l)
choices = []
count = xunit.any_int(min_value=1, max_value=len(field.choices))
for i in... | Return random value for MultipleChoiceField
>>> CHOICES = [('YNG', 'Child'), ('MIDDLE', 'Parent') ,('OLD', 'GrandParent')]
>>> result = any_form_field(forms.MultipleChoiceField(choices=CHOICES))
>>> type(result)
<type 'str'> | ### Input:
Return random value for MultipleChoiceField
>>> CHOICES = [('YNG', 'Child'), ('MIDDLE', 'Parent') ,('OLD', 'GrandParent')]
>>> result = any_form_field(forms.MultipleChoiceField(choices=CHOICES))
>>> type(result)
<type 'str'>
### Response:
#vtb
def multiple_choice_field_data(field, **kwargs... |
#vtb
def get_properties(elt, keys=None, ctx=None):
if isinstance(keys, string_types):
keys = (keys,)
result = _get_properties(elt, keys=keys, local=False, ctx=ctx)
return result | Get elt properties.
:param elt: properties elt. Not None methods or unhashable types.
:param keys: key(s) of properties to get from elt.
If None, get all properties.
:type keys: list or str
:param ctx: elt ctx from where get properties. Equals elt if None. It
allows to get function prop... | ### Input:
Get elt properties.
:param elt: properties elt. Not None methods or unhashable types.
:param keys: key(s) of properties to get from elt.
If None, get all properties.
:type keys: list or str
:param ctx: elt ctx from where get properties. Equals elt if None. It
allows to get f... |
#vtb
def perform_experiment(self, engine_list):
result = []
for endine_idx, engine in enumerate(engine_list):
print( % (endine_idx, len(engine_list)))
engine.clean_all_buckets()
avg_recall = 0.0
... | Performs nearest neighbour recall experiments with custom vector data
for all engines in the specified list.
Returns self.result contains list of (recall, precision, search_time)
tuple. All are the averaged values over all request vectors.
search_time is the average retrieval/search tim... | ### Input:
Performs nearest neighbour recall experiments with custom vector data
for all engines in the specified list.
Returns self.result contains list of (recall, precision, search_time)
tuple. All are the averaged values over all request vectors.
search_time is the average retrieva... |
#vtb
def build_model_classes(metadata):
i = importlib.import_module(metadata)
env = get_jinja_env()
model_template = env.get_template()
for model in i.models:
with open(model_path(model.name.lower()), ) as t:
t.write(model_template.render(model_md=model)) | Generate a model class for any models contained in the specified spec file. | ### Input:
Generate a model class for any models contained in the specified spec file.
### Response:
#vtb
def build_model_classes(metadata):
i = importlib.import_module(metadata)
env = get_jinja_env()
model_template = env.get_template()
for model in i.models:
with open(model_path(mo... |
#vtb
def dispatch(splits, *funcs, **kwargs):
map_func = kwargs.get(, _map_func)
apply_func = kwargs.get(, _apply_func)
return map_func(partial(apply_func, funcs), splits) | takes multiple iterables (returned by dispatch or broadcast) and delivers
the items to multiple functions
/-----> _INPUT1 --> double(_INPUT1) --> \
/ \
splits ------> _INPUT2 --> triple(_INPUT2) ---> _OUTPUT
\ ... | ### Input:
takes multiple iterables (returned by dispatch or broadcast) and delivers
the items to multiple functions
/-----> _INPUT1 --> double(_INPUT1) --> \
/ \
splits ------> _INPUT2 --> triple(_INPUT2) ---> _OUTPUT
\ ... |
#vtb
def create_prediction_estimator(hyper_params, model, checkpoint_path=None):
if checkpoint_path is None:
chkpts = sorted([name for name in os.listdir(hyper_params.train.checkpoint_path)])
checkpoint_path = hyper_params.train.checkpoint_path + "/" + chkpts[-1]
print("Latest found che... | Create an estimator for prediction purpose only.
:param hyper_params: The hyper params file.
:param model: The keras model.
:param checkpoint_path: (Optional) Path to the specific checkpoint to use.
:return: | ### Input:
Create an estimator for prediction purpose only.
:param hyper_params: The hyper params file.
:param model: The keras model.
:param checkpoint_path: (Optional) Path to the specific checkpoint to use.
:return:
### Response:
#vtb
def create_prediction_estimator(hyper_params, model, checkpoint_... |
#vtb
def course_or_program_exist(self, course_id, program_uuid):
course_exists = course_id and CourseApiClient().get_course_details(course_id)
program_exists = program_uuid and CourseCatalogApiServiceClient().program_exists(program_uuid)
return course_exists or program_exists | Return whether the input course or program exist. | ### Input:
Return whether the input course or program exist.
### Response:
#vtb
def course_or_program_exist(self, course_id, program_uuid):
course_exists = course_id and CourseApiClient().get_course_details(course_id)
program_exists = program_uuid and CourseCatalogApiServiceClient().program_e... |
#vtb
def get_item(self, address, state = ):
self._lock.acquire()
try:
item = self._items.get(address)
if not item:
return None
self.update_item(item)
if _state_values[state] >= item.state_value:
return item
... | Get an item from the cache.
:Parameters:
- `address`: its address.
- `state`: the worst state that is acceptable.
:Types:
- `address`: any hashable
- `state`: `str`
:return: the item or `None` if it was not found.
:returntype: `CacheItem` | ### Input:
Get an item from the cache.
:Parameters:
- `address`: its address.
- `state`: the worst state that is acceptable.
:Types:
- `address`: any hashable
- `state`: `str`
:return: the item or `None` if it was not found.
:returntype:... |
#vtb
def render(self, text, auth=None):
expected = str if sys.version_info[0] >= 3 else unicode
if not isinstance(text, expected):
raise TypeError(
.format(text))
if self.user_content:
url = .format(self.api_url)
data = {: ... | Renders the specified markdown content and embedded styles.
Raises TypeError if text is not a Unicode string.
Raises requests.HTTPError if the request fails. | ### Input:
Renders the specified markdown content and embedded styles.
Raises TypeError if text is not a Unicode string.
Raises requests.HTTPError if the request fails.
### Response:
#vtb
def render(self, text, auth=None):
expected = str if sys.version_info[0] >= 3 else unic... |
#vtb
def __parse_json_file(self, file_path):
if file_path == or os.path.splitext(file_path)[1] != :
raise IOError()
with open(file_path) as json_file:
self._raw_data = json.load(json_file)
self._json_data = copy.deepcopy(self._raw_data) | Process Json file data
:@param file_path
:@type file_path: string
:@throws IOError | ### Input:
Process Json file data
:@param file_path
:@type file_path: string
:@throws IOError
### Response:
#vtb
def __parse_json_file(self, file_path):
if file_path == or os.path.splitext(file_path)[1] != :
raise IOError()
with open(file_path) as json_... |
#vtb
def next(self):
xy
if self._use_thread:
self._next_thread.join()
if self._current_data is None:
logger.log(99, )
self._next_thread = threading.Thread(target=self._next)
self._next_thread.start()
se... | next
It generates tuple of data.
For example,
if :py:meth:`self._variables == ('x', 'y')`
This method returns :py:meth:` ( [[X] * batch_size], [[Y] * batch_size] )`
Returns:
tuple: tuple of data for mini-batch in numpy.ndarray. | ### Input:
next
It generates tuple of data.
For example,
if :py:meth:`self._variables == ('x', 'y')`
This method returns :py:meth:` ( [[X] * batch_size], [[Y] * batch_size] )`
Returns:
tuple: tuple of data for mini-batch in numpy.ndarray.
### Response:
#vtb
def n... |
#vtb
def command(self, *cmd):
assert(len(cmd) <= 32)
try:
self._bus.write_i2c_block_data(self._addr, self._cmd_mode,
list(cmd))
except (IOError, OSError) as e:
if e.errno in [errno.EREMOTEIO, errno.EIO]:
... | Sends a command or sequence of commands through to the I²C address
- maximum allowed is 32 bytes in one go.
:param cmd: A spread of commands.
:type cmd: int
:raises luma.core.error.DeviceNotFoundError: I2C device could not be found. | ### Input:
Sends a command or sequence of commands through to the I²C address
- maximum allowed is 32 bytes in one go.
:param cmd: A spread of commands.
:type cmd: int
:raises luma.core.error.DeviceNotFoundError: I2C device could not be found.
### Response:
#vtb
def command(self, *cmd... |
#vtb
def markov_network(potentials):
G = nx.Graph()
G.name = .format(potentials)
for clique, phis in potentials.items():
num_vars = len(clique)
if not isinstance(phis, abc.Mapping):
raise TypeError("phis should be a dict")
elif not al... | Creates a Markov Network from potentials.
A Markov Network is also knows as a `Markov Random Field`_
Parameters
----------
potentials : dict[tuple, dict]
A dict where the keys are either nodes or edges and the values are a
dictionary of potentials. The potential dict should map each po... | ### Input:
Creates a Markov Network from potentials.
A Markov Network is also knows as a `Markov Random Field`_
Parameters
----------
potentials : dict[tuple, dict]
A dict where the keys are either nodes or edges and the values are a
dictionary of potentials. The potential dict should... |
#vtb
def _connect_mv_node(network, node, target_obj):
std_line_type = network.equipment_data[].loc[
network.config[][]]
std_line_kind =
target_obj_result = None
node_shp = transform(proj2equidistant(network), node.geom)
if isinstance(target_obj[], LineString):
ad... | Connects MV node to target object in MV grid
If the target object is a node, a new line is created to it.
If the target object is a line, the node is connected to a newly created branch tee
(using perpendicular projection) on this line.
New lines are created using standard equipment.
Parameters
... | ### Input:
Connects MV node to target object in MV grid
If the target object is a node, a new line is created to it.
If the target object is a line, the node is connected to a newly created branch tee
(using perpendicular projection) on this line.
New lines are created using standard equipment.
P... |
#vtb
def default(self):
try:
return self.__resolved_default
except AttributeError:
resolved_default = super(EnumField, self).default
if isinstance(resolved_default, (six.string_types,
six.integer_types)):
... | Default for enum field.
Will cause resolution of Enum type and unresolved default value. | ### Input:
Default for enum field.
Will cause resolution of Enum type and unresolved default value.
### Response:
#vtb
def default(self):
try:
return self.__resolved_default
except AttributeError:
resolved_default = super(EnumField, self).default
i... |
#vtb
def resolve_inputs(self, layers):
resolved = {}
for name, shape in self._input_shapes.items():
if shape is None:
name, shape = self._resolve_shape(name, layers)
resolved[name] = shape
self._input_shapes = resolved | Resolve the names of inputs for this layer into shape tuples.
Parameters
----------
layers : list of :class:`Layer`
A list of the layers that are available for resolving inputs.
Raises
------
theanets.util.ConfigurationError :
If an input cannot ... | ### Input:
Resolve the names of inputs for this layer into shape tuples.
Parameters
----------
layers : list of :class:`Layer`
A list of the layers that are available for resolving inputs.
Raises
------
theanets.util.ConfigurationError :
If an i... |
#vtb
def refresh(self):
self._update_id_list()
for _id in self.history[:]:
if _id not in self.id_list:
self.history.remove(_id) | Remove editors that are not longer open. | ### Input:
Remove editors that are not longer open.
### Response:
#vtb
def refresh(self):
self._update_id_list()
for _id in self.history[:]:
if _id not in self.id_list:
self.history.remove(_id) |
#vtb
def get_spark_session(enable_hive=False, app_name=, configs=[]):
import findspark
findspark.init()
from pyspark.sql import SparkSession
spark = SparkSession.builder
spark = spark.appName(app_name)
spark = spark.enableHiveSupport() if enable_hive else spark
for co... | Return a Spark Session object | ### Input:
Return a Spark Session object
### Response:
#vtb
def get_spark_session(enable_hive=False, app_name=, configs=[]):
import findspark
findspark.init()
from pyspark.sql import SparkSession
spark = SparkSession.builder
spark = spark.appName(app_name)
spark = spark.enabl... |
#vtb
def find_name(self, template_name, search_dirs):
file_name = self.make_file_name(template_name)
return self._find_path_required(search_dirs, file_name) | Return the path to a template with the given name.
Arguments:
template_name: the name of the template.
search_dirs: the list of directories in which to search. | ### Input:
Return the path to a template with the given name.
Arguments:
template_name: the name of the template.
search_dirs: the list of directories in which to search.
### Response:
#vtb
def find_name(self, template_name, search_dirs):
file_name = self.make_file_name... |
#vtb
def run(self, conn, tmp, module_name, module_args, inject):
tokens = shlex.split(module_args)
source = tokens[0]
args = " ".join(tokens[1:])
source = utils.template(self.runner.basedir, source, inject)
source = utils.path_dwim(self.runner.basedir, s... | handler for file transfer operations | ### Input:
handler for file transfer operations
### Response:
#vtb
def run(self, conn, tmp, module_name, module_args, inject):
tokens = shlex.split(module_args)
source = tokens[0]
args = " ".join(tokens[1:])
source = utils.template(self.runner.basedir, source, ... |
#vtb
def expand_details(df, detailCol=):
df = copy.deepcopy(df)
df[] = df[detailCol]
dicts = [sportsref.nfl.pbp.parse_play_details(detail) for detail in df[].values]
cols = {c for d in dicts if d for c in d.keys()}
blankEntry = {c: np.nan for c in cols}
newDicts = [d if d else blankEnt... | Expands the details column of the given dataframe and returns the
resulting DataFrame.
:df: The input DataFrame.
:detailCol: The detail column name.
:returns: Returns DataFrame with new columns from pbp parsing. | ### Input:
Expands the details column of the given dataframe and returns the
resulting DataFrame.
:df: The input DataFrame.
:detailCol: The detail column name.
:returns: Returns DataFrame with new columns from pbp parsing.
### Response:
#vtb
def expand_details(df, detailCol=):
df = copy.deep... |
#vtb
def subtract(
self,
years=0,
months=0,
weeks=0,
days=0,
hours=0,
minutes=0,
seconds=0,
microseconds=0,
):
return self.add(
years=-years,
months=-months,
weeks=-weeks,
days=-d... | Remove duration from the instance.
:param years: The number of years
:type years: int
:param months: The number of months
:type months: int
:param weeks: The number of weeks
:type weeks: int
:param days: The number of days
:type days: int
:par... | ### Input:
Remove duration from the instance.
:param years: The number of years
:type years: int
:param months: The number of months
:type months: int
:param weeks: The number of weeks
:type weeks: int
:param days: The number of days
:type days: int
... |
#vtb
def get_float(self, key, optional=False):
return self._get_typed_value(key, float, lambda x: float(x), optional) | Tries to fetch a variable from the config and expects it to be strictly a float
:param key: Variable to look for
:param optional: Whether to raise ConfigKeyNotFoundError if key was not found
:return: float | ### Input:
Tries to fetch a variable from the config and expects it to be strictly a float
:param key: Variable to look for
:param optional: Whether to raise ConfigKeyNotFoundError if key was not found
:return: float
### Response:
#vtb
def get_float(self, key, optional=False):
... |
#vtb
def save_package_contents(self, root, team, owner, pkgname):
assert isinstance(root, RootNode)
instance_hash = hash_contents(root)
pkg_path = self.package_path(team, owner, pkgname)
if not os.path.isdir(pkg_path):
os.makedirs(pkg_path)
os.mkdir(os.pa... | Saves the in-memory contents to a file in the local
package repository. | ### Input:
Saves the in-memory contents to a file in the local
package repository.
### Response:
#vtb
def save_package_contents(self, root, team, owner, pkgname):
assert isinstance(root, RootNode)
instance_hash = hash_contents(root)
pkg_path = self.package_path(team, owner, pk... |
#vtb
def _gitignore(root):
gitignore_path = os.path.join(root, )
dir_patterns = []
file_patterns = []
if not os.path.exists(gitignore_path):
return (dir_patterns, file_patterns)
with open(gitignore_path, , encoding=) as f:
for line in f.readlines():
line = line.s... | Parses a .gitignore file and returns patterns to match dirs and files.
Only basic gitignore patterns are supported. Pattern negation, ** wildcards
and anchored patterns are not currently implemented.
:param root:
A unicode string of the path to the git repository
:return:
A 2-element t... | ### Input:
Parses a .gitignore file and returns patterns to match dirs and files.
Only basic gitignore patterns are supported. Pattern negation, ** wildcards
and anchored patterns are not currently implemented.
:param root:
A unicode string of the path to the git repository
:return:
A... |
#vtb
def _get_default_locs(self, vmin, vmax):
"Returns the default locations of ticks."
if self.plot_obj.date_axis_info is None:
self.plot_obj.date_axis_info = self.finder(vmin, vmax, self.freq)
locator = self.plot_obj.date_axis_info
if self.isminor:
return np.... | Returns the default locations of ticks. | ### Input:
Returns the default locations of ticks.
### Response:
#vtb
def _get_default_locs(self, vmin, vmax):
"Returns the default locations of ticks."
if self.plot_obj.date_axis_info is None:
self.plot_obj.date_axis_info = self.finder(vmin, vmax, self.freq)
locator = self.plot_... |
#vtb
def decode(encoded_histogram, b64_wrap=True):
hdr_payload = HdrHistogramEncoder.decode(encoded_histogram, b64_wrap)
payload = hdr_payload.payload
histogram = HdrHistogram(payload.lowest_trackable_value,
payload.highest_trackable_value,
... | Decode an encoded histogram and return a new histogram instance that
has been initialized with the decoded content
Return:
a new histogram instance representing the decoded content
Exception:
TypeError in case of base64 decode error
HdrCookieException:
... | ### Input:
Decode an encoded histogram and return a new histogram instance that
has been initialized with the decoded content
Return:
a new histogram instance representing the decoded content
Exception:
TypeError in case of base64 decode error
HdrCookieExcept... |
#vtb
def from_shapefile(output, input_shp_files, validate):
input_parser = shapefileparser.ShapefileParser()
source_model = input_parser.read(input_shp_files[0], validate)
for f in input_shp_files[1:]:
source_model.sources.extend(input_parser.read(f, validate).sources)
if not output:
... | Convert multiple ESRI Shapefile(s) into a single NRML source model file. | ### Input:
Convert multiple ESRI Shapefile(s) into a single NRML source model file.
### Response:
#vtb
def from_shapefile(output, input_shp_files, validate):
input_parser = shapefileparser.ShapefileParser()
source_model = input_parser.read(input_shp_files[0], validate)
for f in input_shp_files[1:]:
... |
#vtb
def p_InSwitchDefList(p):
if len(p) <= 2:
p[0] = InSwitchDefList(None, p[1])
else:
p[0] = InSwitchDefList(p[1], p[2]) | InSwitchDefList : InSwitchDef
| InSwitchDefList InSwitchDef | ### Input:
InSwitchDefList : InSwitchDef
| InSwitchDefList InSwitchDef
### Response:
#vtb
def p_InSwitchDefList(p):
if len(p) <= 2:
p[0] = InSwitchDefList(None, p[1])
else:
p[0] = InSwitchDefList(p[1], p[2]) |
#vtb
def reminders_list(self, **kwargs) -> SlackResponse:
self._validate_xoxp_token()
return self.api_call("reminders.list", http_verb="GET", params=kwargs) | Lists all reminders created by or for a given user. | ### Input:
Lists all reminders created by or for a given user.
### Response:
#vtb
def reminders_list(self, **kwargs) -> SlackResponse:
self._validate_xoxp_token()
return self.api_call("reminders.list", http_verb="GET", params=kwargs) |
#vtb
def _init_externals():
if __version__ == :
sys.path.insert(0, osp.join(osp.dirname(__file__), , ))
try:
import gitdb
except ImportError:
raise ImportError(" could not be found in your PYTHONPATH") | Initialize external projects by putting them into the path | ### Input:
Initialize external projects by putting them into the path
### Response:
#vtb
def _init_externals():
if __version__ == :
sys.path.insert(0, osp.join(osp.dirname(__file__), , ))
try:
import gitdb
except ImportError:
raise ImportError(" could not be found in your PYT... |
#vtb
def start(docker_url=,
timeout=CLIENT_TIMEOUT,
tag=,
filters=None):
if __opts__.get() == :
fire_master = salt.utils.event.get_master_event(
__opts__,
__opts__[]).fire_event
else:
fire_master = None
def fire(tag, msg):
... | Scan for Docker events and fire events
Example Config
.. code-block:: yaml
engines:
- docker_events:
docker_url: unix://var/run/docker.sock
filters:
event:
- start
- stop
- die
- oom
... | ### Input:
Scan for Docker events and fire events
Example Config
.. code-block:: yaml
engines:
- docker_events:
docker_url: unix://var/run/docker.sock
filters:
event:
- start
- stop
- die
... |
#vtb
def favorite_remove(self, post_id):
return self._get(.format(post_id), method=,
auth=True) | Remove a post from favorites (Requires login).
Parameters:
post_id (int): Where post_id is the post id. | ### Input:
Remove a post from favorites (Requires login).
Parameters:
post_id (int): Where post_id is the post id.
### Response:
#vtb
def favorite_remove(self, post_id):
return self._get(.format(post_id), method=,
auth=True) |
#vtb
def find_class(self):
if self.value <= 1:
return InstructionsProperty
elif self.value <= 3:
return NextTablesProperty
elif self.value <= 7:
return ActionsProperty
return OxmProperty | Return a class related with this type. | ### Input:
Return a class related with this type.
### Response:
#vtb
def find_class(self):
if self.value <= 1:
return InstructionsProperty
elif self.value <= 3:
return NextTablesProperty
elif self.value <= 7:
return ActionsProperty
return O... |
#vtb
def _ReadFloatingPointDataTypeDefinition(
self, definitions_registry, definition_values, definition_name,
is_member=False):
return self._ReadFixedSizeDataTypeDefinition(
definitions_registry, definition_values,
data_types.FloatingPointDefinition, definition_name,
self._... | Reads a floating-point data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): True if the d... | ### Input:
Reads a floating-point data type definition.
Args:
definitions_registry (DataTypeDefinitionsRegistry): data type definitions
registry.
definition_values (dict[str, object]): definition values.
definition_name (str): name of the definition.
is_member (Optional[bool]): T... |
#vtb
def set_rendering_intent(self, rendering_intent):
if rendering_intent not in (None,
PERCEPTUAL,
RELATIVE_COLORIMETRIC,
SATURATION,
ABSOLUTE_COLORIMETRIC):... | Set rendering intent variant for sRGB chunk | ### Input:
Set rendering intent variant for sRGB chunk
### Response:
#vtb
def set_rendering_intent(self, rendering_intent):
if rendering_intent not in (None,
PERCEPTUAL,
RELATIVE_COLORIMETRIC,
... |
#vtb
def load(self, name):
if self.reload:
self._maybe_purge_cache()
template = self.cache.get(name)
if template:
return template
path = self.resolve(name)
if not path:
raise OSError(errno.ENOENT, "File not found: %s" % name)
... | If not yet in the cache, load the named template and compiles it,
placing it into the cache.
If in cache, return the cached template. | ### Input:
If not yet in the cache, load the named template and compiles it,
placing it into the cache.
If in cache, return the cached template.
### Response:
#vtb
def load(self, name):
if self.reload:
self._maybe_purge_cache()
template = self.cache.get(name)
... |
#vtb
def _handle_comparison(self, truism):
is_lt, is_equal, is_unsigned = self.comparison_info[truism.op]
size = len(truism.args[0])
int_max = 2**size-1 if is_unsigned else 2**(size-1)-1
int_min = -2**(size-1)
left_min = self._min(truism.args[0], signed=not ... | Handles all comparisons. | ### Input:
Handles all comparisons.
### Response:
#vtb
def _handle_comparison(self, truism):
is_lt, is_equal, is_unsigned = self.comparison_info[truism.op]
size = len(truism.args[0])
int_max = 2**size-1 if is_unsigned else 2**(size-1)-1
int_min = -2**(size-1)
... |
#vtb
def list(self):
return self._post(
request=ApiActions.LIST.value,
uri=ApiUri.HOOKS.value,
).get() | Get all current hooks
:return: All hooks
:rtype: list of dict
:raises: This will raise a
:class:`ServerException<logentries_api.exceptions.ServerException>`
if there is an error from Logentries | ### Input:
Get all current hooks
:return: All hooks
:rtype: list of dict
:raises: This will raise a
:class:`ServerException<logentries_api.exceptions.ServerException>`
if there is an error from Logentries
### Response:
#vtb
def list(self):
return self... |
#vtb
def publish_server_closed(self, server_address, topology_id):
event = ServerClosedEvent(server_address, topology_id)
for subscriber in self.__server_listeners:
try:
subscriber.closed(event)
except Exception:
_handle_exception() | Publish a ServerClosedEvent to all server listeners.
:Parameters:
- `server_address`: The address (host/port pair) of the server.
- `topology_id`: A unique identifier for the topology this server
is a part of. | ### Input:
Publish a ServerClosedEvent to all server listeners.
:Parameters:
- `server_address`: The address (host/port pair) of the server.
- `topology_id`: A unique identifier for the topology this server
is a part of.
### Response:
#vtb
def publish_server_closed(self, server_a... |
#vtb
def load(self, read_tuple_name):
self.prefix_width = 0
self.read_tuple_id_width = 0
self.genome_id_width = 0
self.chr_id_width = 0
self.coor_width = 0
parts = read_tuple_name.split("__")
self.prefix_width = len(parts[0])
self.read_tuple_id_w... | Load RNF values from a read tuple name.
Args:
read_tuple_name (str): Read tuple name which the values are taken from. | ### Input:
Load RNF values from a read tuple name.
Args:
read_tuple_name (str): Read tuple name which the values are taken from.
### Response:
#vtb
def load(self, read_tuple_name):
self.prefix_width = 0
self.read_tuple_id_width = 0
self.genome_id_width = 0
self.chr_id_wi... |
#vtb
def sid(tnet, communities, axis=0, calc=, decay=0):
r
tnet, netinfo = utils.process_input(tnet, [, , ])
D = temporal_degree_centrality(
tnet, calc=, communities=communities, decay=decay)
network_ids = np.unique(communities)
communities_size = np.array([sum(communities == n) for n... | r"""
Segregation integration difference (SID). An estimation of each community or global difference of within versus between community strength.[sid-1]_
Parameters
----------
tnet: array, dict
Temporal network input (graphlet or contact). Allowerd nettype: 'bu', 'bd', 'wu', 'wd'
communit... | ### Input:
r"""
Segregation integration difference (SID). An estimation of each community or global difference of within versus between community strength.[sid-1]_
Parameters
----------
tnet: array, dict
Temporal network input (graphlet or contact). Allowerd nettype: 'bu', 'bd', 'wu', 'wd'
... |
#vtb
def config_dir_setup(filename):
path = os.path.dirname(filename)
if not os.path.isdir(path):
Shell.mkdir(path) | sets the config file and makes sure the directory exists if it has not yet been created.
:param filename:
:return: | ### Input:
sets the config file and makes sure the directory exists if it has not yet been created.
:param filename:
:return:
### Response:
#vtb
def config_dir_setup(filename):
path = os.path.dirname(filename)
if not os.path.isdir(path):
Shell.mkdir(path) |
#vtb
def _get_default(self, obj):
if self.name in obj._property_values:
raise RuntimeError("Bokeh internal error, does not handle the case of self.name already in _property_values")
is_themed = obj.themed_values() is not None and self.name in obj.themed_values()
... | Internal implementation of instance attribute access for default
values.
Handles bookeeping around |PropertyContainer| value, etc. | ### Input:
Internal implementation of instance attribute access for default
values.
Handles bookeeping around |PropertyContainer| value, etc.
### Response:
#vtb
def _get_default(self, obj):
if self.name in obj._property_values:
raise RuntimeError("Bokeh inter... |
#vtb
def remove_labels(self, labels, relabel=False):
self.check_labels(labels)
self.reassign_label(labels, new_label=0)
if relabel:
self.relabel_consecutive() | Remove one or more labels.
Removed labels are assigned a value of zero (i.e., background).
Parameters
----------
labels : int, array-like (1D, int)
The label number(s) to remove.
relabel : bool, optional
If `True`, then the segmentation image will be re... | ### Input:
Remove one or more labels.
Removed labels are assigned a value of zero (i.e., background).
Parameters
----------
labels : int, array-like (1D, int)
The label number(s) to remove.
relabel : bool, optional
If `True`, then the segmentation imag... |
#vtb
def full_data(self):
data = [
self.chat.title,
self._username(),
self._type(),
self._id()
]
return " ".join(filter(None, data)) | Returns all the info available for the chat in the following format:
title [username] (type) <id>
If any data is not available, it is not added. | ### Input:
Returns all the info available for the chat in the following format:
title [username] (type) <id>
If any data is not available, it is not added.
### Response:
#vtb
def full_data(self):
data = [
self.chat.title,
self._username(),
self.... |
#vtb
def _validate_backend(self):
try:
self.backend_class
except (ImportError, AttributeError) as e:
raise ValidationError(_() % e) | ensure backend string representation is correct | ### Input:
ensure backend string representation is correct
### Response:
#vtb
def _validate_backend(self):
try:
self.backend_class
except (ImportError, AttributeError) as e:
raise ValidationError(_() % e) |
#vtb
def project_move(object_id, input_params={}, always_retry=False, **kwargs):
return DXHTTPRequest( % object_id, input_params, always_retry=always_retry, **kwargs) | Invokes the /project-xxxx/move API method.
For more info, see: https://wiki.dnanexus.com/API-Specification-v1.0.0/Folders-and-Deletion#API-method%3A-%2Fclass-xxxx%2Fmove | ### Input:
Invokes the /project-xxxx/move API method.
For more info, see: https://wiki.dnanexus.com/API-Specification-v1.0.0/Folders-and-Deletion#API-method%3A-%2Fclass-xxxx%2Fmove
### Response:
#vtb
def project_move(object_id, input_params={}, always_retry=False, **kwargs):
return DXHTTPRequest( % obje... |
#vtb
def Execute(self, message):
self.message = message
if message:
self.require_fastpoll = message.require_fastpoll
args = None
try:
if self.message.args_rdf_name:
if not self.in_rdfvalue:
raise RuntimeError("Did not expect arguments, got %s." %
... | This function parses the RDFValue from the server.
The Run method will be called with the specified RDFValue.
Args:
message: The GrrMessage that we are called to process.
Returns:
Upon return a callback will be called on the server to register
the end of the function and pass back... | ### Input:
This function parses the RDFValue from the server.
The Run method will be called with the specified RDFValue.
Args:
message: The GrrMessage that we are called to process.
Returns:
Upon return a callback will be called on the server to register
the end of the function a... |
#vtb
def _shuffle_items(items, bucket_key=None, disable=None, seed=None, session=None):
if seed is not None:
random.seed(seed)
if not bucket_key and not disable:
random.shuffle(items)
return
def get_full_bucket_key(item):
assert bucket_key or disable
if b... | Shuffles a list of `items` in place.
If `bucket_key` is None, items are shuffled across the entire list.
`bucket_key` is an optional function called for each item in `items` to
calculate the key of bucket in which the item falls.
Bucket defines the boundaries across which items will not
be shuffl... | ### Input:
Shuffles a list of `items` in place.
If `bucket_key` is None, items are shuffled across the entire list.
`bucket_key` is an optional function called for each item in `items` to
calculate the key of bucket in which the item falls.
Bucket defines the boundaries across which items will not
... |
#vtb
def MCMC_pdf_samples(self, fNew, num_samples=1000, starting_loc=None, stepsize=0.1, burn_in=1000, Y_metadata=None):
print("Warning, using MCMC for sampling y*, needs to be tuned!")
if starting_loc is None:
starting_loc = fNew
from functools import partial
logpdf... | Simple implementation of Metropolis sampling algorithm
Will run a parallel chain for each input dimension (treats each f independently)
Thus assumes f*_1 independant of f*_2 etc.
:param num_samples: Number of samples to take
:param fNew: f at which to sample around
:param start... | ### Input:
Simple implementation of Metropolis sampling algorithm
Will run a parallel chain for each input dimension (treats each f independently)
Thus assumes f*_1 independant of f*_2 etc.
:param num_samples: Number of samples to take
:param fNew: f at which to sample around
... |
#vtb
def HumanReadableStartType(self):
if isinstance(self.start_type, py2to3.STRING_TYPES):
return self.start_type
return human_readable_service_enums.SERVICE_ENUMS[].get(
self.start_type, .format(self.start_type)) | Return a human readable string describing the start type value.
Returns:
str: human readable description of the start type value. | ### Input:
Return a human readable string describing the start type value.
Returns:
str: human readable description of the start type value.
### Response:
#vtb
def HumanReadableStartType(self):
if isinstance(self.start_type, py2to3.STRING_TYPES):
return self.start_type
return human_reada... |
#vtb
def get_subgraph_peripheral_nodes(graph: BELGraph,
subgraph: Iterable[BaseEntity],
node_predicates: NodePredicates = None,
edge_predicates: EdgePredicates = None,
):
node... | Get a summary dictionary of all peripheral nodes to a given sub-graph.
:return: A dictionary of {external node: {'successor': {internal node: list of (key, dict)},
'predecessor': {internal node: list of (key, dict)}}}
:rtype: dict
For example, it might be useful... | ### Input:
Get a summary dictionary of all peripheral nodes to a given sub-graph.
:return: A dictionary of {external node: {'successor': {internal node: list of (key, dict)},
'predecessor': {internal node: list of (key, dict)}}}
:rtype: dict
For example, it mig... |
#vtb
def dot_v2(vec1, vec2):
return vec1.x * vec2.x + vec1.y * vec2.y | Return the dot product of two vectors | ### Input:
Return the dot product of two vectors
### Response:
#vtb
def dot_v2(vec1, vec2):
return vec1.x * vec2.x + vec1.y * vec2.y |
#vtb
def fieldvalue_pairs(self, exclude_cache=False):
t be included.
:rtype: a generator of two-elements tuples'
for field in self._meta.scalarfields:
if exclude_cache and field.as_cache:
continue
name = field.attname
if hasattr(self, name):
... | Generator of fields,values pairs. Fields correspond to
the ones which have been loaded (usually all of them) or
not loaded but modified.
Check the :ref:`load_only <performance-loadonly>` query function for more
details.
If *exclude_cache* evaluates to ``True``, fields with :attr:`Field.as_cache`
attribute set to ``Tru... | ### Input:
Generator of fields,values pairs. Fields correspond to
the ones which have been loaded (usually all of them) or
not loaded but modified.
Check the :ref:`load_only <performance-loadonly>` query function for more
details.
If *exclude_cache* evaluates to ``True``, fields with :attr:`Field.as_cache`
attribute ... |
#vtb
def process_directory_statements_sorted_by_pmid(directory_name):
s_dict = defaultdict(list)
mp = process_directory(directory_name, lazy=True)
for statement in mp.iter_statements():
s_dict[statement.evidence[0].pmid].append(statement)
return s_dict | Processes a directory filled with CSXML files, first normalizing the
character encoding to utf-8, and then processing into INDRA statements
sorted by pmid.
Parameters
----------
directory_name : str
The name of a directory filled with csxml files to process
Returns
-------
pmid... | ### Input:
Processes a directory filled with CSXML files, first normalizing the
character encoding to utf-8, and then processing into INDRA statements
sorted by pmid.
Parameters
----------
directory_name : str
The name of a directory filled with csxml files to process
Returns
----... |
#vtb
def delete(cls, resources, background=False, force=False):
if not isinstance(resources, (list, tuple)):
resources = [resources]
ifaces = []
for item in resources:
try:
ip_ = cls.info(item)
except UsageError:
cls.e... | Delete an ip by deleting the iface | ### Input:
Delete an ip by deleting the iface
### Response:
#vtb
def delete(cls, resources, background=False, force=False):
if not isinstance(resources, (list, tuple)):
resources = [resources]
ifaces = []
for item in resources:
try:
ip_ = cls.i... |
#vtb
def resume(self, vehID):
self._connection._beginMessage(
tc.CMD_SET_VEHICLE_VARIABLE, tc.CMD_RESUME, vehID, 1 + 4)
self._connection._string += struct.pack("!Bi", tc.TYPE_COMPOUND, 0)
self._connection._sendExact() | resume(string) -> None
Resumes the vehicle from the current stop (throws an error if the vehicle is not stopped). | ### Input:
resume(string) -> None
Resumes the vehicle from the current stop (throws an error if the vehicle is not stopped).
### Response:
#vtb
def resume(self, vehID):
self._connection._beginMessage(
tc.CMD_SET_VEHICLE_VARIABLE, tc.CMD_RESUME, vehID, 1 + 4)
self._connect... |
#vtb
def columns_used(self):
return list(tz.unique(tz.concatv(
self.choosers_columns_used(),
self.alts_columns_used(),
self.interaction_columns_used(),
util.columns_in_formula(self.default_model_expr),
[self.segmentation_col]))) | Columns from any table used in the model. May come from either
the choosers or alternatives tables. | ### Input:
Columns from any table used in the model. May come from either
the choosers or alternatives tables.
### Response:
#vtb
def columns_used(self):
return list(tz.unique(tz.concatv(
self.choosers_columns_used(),
self.alts_columns_used(),
self.interact... |
#vtb
def Delete(self):
public_ip_set = [{: o.id} for o in self.parent.public_ips if o!=self]
self.parent.public_ips = [o for o in self.parent.public_ips if o!=self]
return(clc.v2.Requests(clc.v2.API.Call(, % (self.parent.server.alias,self.parent.server.id,self.id),
session=self.session),
... | Delete public IP.
>>> clc.v2.Server("WA1BTDIX01").PublicIPs().public_ips[0].Delete().WaitUntilComplete()
0 | ### Input:
Delete public IP.
>>> clc.v2.Server("WA1BTDIX01").PublicIPs().public_ips[0].Delete().WaitUntilComplete()
0
### Response:
#vtb
def Delete(self):
public_ip_set = [{: o.id} for o in self.parent.public_ips if o!=self]
self.parent.public_ips = [o for o in self.parent.public_ips if o!=self]
return... |
#vtb
def can_use_c_for(self, node):
assert isinstance(node.target, ast.Name)
if sys.version_info.major == 3:
range_name =
else:
range_name =
pattern_range = ast.Call(func=ast.Attribute(
value=ast.Name(id=,
ctx=ast.... | Check if a for loop can use classic C syntax.
To use C syntax:
- target should not be assign in the loop
- xrange should be use as iterator
- order have to be known at compile time | ### Input:
Check if a for loop can use classic C syntax.
To use C syntax:
- target should not be assign in the loop
- xrange should be use as iterator
- order have to be known at compile time
### Response:
#vtb
def can_use_c_for(self, node):
assert isinsta... |
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