content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Any
def cost(exprenv: ExprWithEnv, inputs: Any = None, approx_mode: bool = True) -> float:
"""Evaluates the cost of the expression `expr`.
If `expr` evaluates to a lambda, and `inputs` is not None or `approx_mode` is
true, then returns the cost of evaluating the lambda on the provided ... | 6e22e01d74959078382f743ca62daf149641c214 | 3,597,437 |
import numpy
def classifier_summary_stats(table, stat, factors):
"""returns a table of summary statistics from the table"""
dvs = table.distinct_values(factors)
rows = []
for dv in dvs:
sub = table.filtered(lambda x: tuple(x) == dv, columns=factors)
est = sub.tolist(columns=stat)
... | 4673134f3d233428031f40c467b2a3294e6b2d31 | 3,597,439 |
def list_annotations_for_paring(_base_path, _split, threads):
"""
List Annotations by Split
:param _base_path: Base Path of Dataset
:param _split: one of ["train", "test", "validation"]
:param threads: N Threads for Multi-Threading. [Default Cpu_Count]
:return: List of Annotations (Dicts)
""... | 53c38257184e33d2f272f5900b1f9b3e6c8760b6 | 3,597,440 |
def get_website_url(site_settings=None):
"""
A shortand to retrieve the full website URL according to Site ID and HTTP
protocole settings.
Keyword Arguments:
site_settings (django.conf.settings): Settings object, if not given the method
will be unable to determine if HTTPS is enable... | d7629af51ca68ba3a604b53a5e01cd4e62a2b6d9 | 3,597,441 |
def is_schema_valid(dataframe, schema):
"""Check if a schema is valid for initializing Woodwork on a dataframe
Args:
dataframe (DataFrame): The dataframe against which to check the schema.
schema (ww.TableSchema): The schema to use in the validity check.
Returns:
boolean: Boolean i... | f99a26e4bc1646c4a784e8146b763a83f1ddae72 | 3,597,442 |
def recent_events(num=10):
"""
Returns a QuerySet of Events that happened recently.
`num` is the number returned.
"""
return Event.objects.select_related("venue").order_by("-date")[:num] | 3a088ac170efde4beaeadeb1e4592a38d5f6f88a | 3,597,443 |
def xl_col_to_name(col, col_abs=False):
"""
Convert a zero indexed column cell reference to a string.
Args:
col: The cell column. Int.
col_abs: Optional flag to make the column absolute. Bool.
Returns:
Column style string.
"""
col_num = col
if col_num < 0:
... | 62fcc4d6c4d0ac77098e49f3de74eaecea54313c | 3,597,444 |
async def gotoStow60(command: HALCommandType):
"""Send the telescope to (121, 60, 0)."""
return await goto_position(command, "stow_60") | 0bc3ccafaf30c1a8da6cb469976ca96d3649e2be | 3,597,445 |
def main(args):
"""Compute the QR decomposition of a matrix.
.. Keyword Arguments:
:param args: The program arguments.
.. Types:
:type args: A argparse namespace ojects containing the program arguments.
.. Returns:
:returns: 0 If the program ran successfully, otherwise non-zero.
:rtyp... | 1d44977c6e44a3f144e0492a1c560ba682a81009 | 3,597,446 |
def _noise_estimation_worker(N, nctr, metric, mode,
center, summary_center, summary_spread, seed=0,
n_iter=DEF_BITER, sync=True):
"""Helper function for noise_estimation().
N: list of one neuron's responses. Each element's shape =
(# of reps, # of images)
nctr: the central tendencie... | bbdbfbcc6ae02c0d152126a33c23d5c889955d55 | 3,597,447 |
def make_layout():
"""Define the layout."""
layout = Layout(name="root")
layout.split(Layout(name="header", size=4), Layout(name="main"))
layout["main"].split_column(
Layout(name="info", size=4), Layout(name="body", ratio=2, minimum_size=60)
)
layout["info"].split_row(Layout(name="time")... | b32291d51b228a7f465406db7a9640f46a6800e5 | 3,597,448 |
def get_topic_command(config: ConfigType) -> str:
"""Get command topic."""
return _get_topic_cmnd(config) | 8e15b36c36ca9b061998e69f817feebc83693df9 | 3,597,449 |
def base58_encode(num, alphabet=ALPHABET):
"""Encode a number in Base X
`num`: The number to encode
`alphabet`: The alphabet to use for encoding
"""
if (num == 0):
return alphabet[0]
arr = []
base = len(alphabet)
while num:
rem = num % base
num = num // base
... | a5d32cf31d0d1e06178032ff9b0aa71662f13143 | 3,597,450 |
def nereid_default_template_ctx_processor():
"""Add Decimal and make_crumbs to template context"""
return dict(
Decimal=Decimal,
make_crumbs=make_crumbs,
) | 7f104c78a9a089d47fe15f8eb2e0ec0f7a7e9a35 | 3,597,451 |
def find_symbol(app, loctx, key, locals=None, dependencies=None):
"""Look up a symbol, using the universal laws of symbol-looking-up.
To wit:
- "_" and other immutables
- locals (which may be predefined or start with "_")
- instance properties
- world properties
- realm-level instance proper... | d7ada942c3cfb6d19f2c1172bea3667f392cf913 | 3,597,452 |
from pathlib import Path
def create_h5temp(rows: int,
cols: int,
tr: int,
ts: int,
) -> Path:
"""Create temporary HDF5 rawfile.
Args:
rows (int): Number of rows.
cols (int): Number of columns.
tr (int): Temporal r... | b9809a9f48d74be23b20b76cbad74a4f488fdd6d | 3,597,453 |
from pm4py.algo.filtering.ocel import objects_ot_count
from typing import Dict
def filter_ocel_object_per_type_count(ocel: OCEL, min_num_obj_type: Dict[str, int]) -> OCEL:
"""
Filters the events of the object-centric logs which are related to at least
the specified amount of objects per type.
E.g. pm... | 5b39e14073b37ac2b7967cb23db0d41c8561603b | 3,597,454 |
def sell():
"""Sell shares of stock."""
if request.method == "POST":
try:
sell_shares = int(request.form.get("shares"))
except ValueError:
return apology("invalid shares")
share_quote = lookup(request.form.get("symbol"))
try:
user_shares = db... | 8684c0527cb8c27933a9a2ae508a33766231d41b | 3,597,455 |
def resize(image, IMG_SIZE = 512):
"""
resize the image to have the same size between all the images (because of different image resolutions)
and conversion of the color of the image because by default cv2 reads image in blue color
in the resize, the ration = 1 by default because pixel height = pixel width
imag... | 64eb6f2e3a2d20bb0305c081926177e59e47fb7d | 3,597,456 |
def extract_target_sdk_version(doc):
"""Returns the targetSdkVersion from the manifest.
Args:
doc: The XML document.
Raises:
RuntimeError: invalid manifest
"""
manifest = parse_manifest(doc)
# Get or insert the uses-sdk element
uses_sdk = get_children_with_tag(manifest, 'uses-sdk')
if len(use... | 4f9632cb1bf219ab789afdef00715da046694323 | 3,597,457 |
def crop_square(img: np.ndarray, square: chess.Square, turn: chess.Color) -> np.ndarray:
"""Crop a chess square from the warped input image for occupancy classification.
Args:
img (np.ndarray): the warped input image
square (chess.Square): the square to crop
turn (chess.Color): the curr... | 859cb6c2b3cb671625dd2a7315667fbe0342b0ff | 3,597,458 |
def compute_average(objectives, results, n_samples=10**6):
"""Compute the average value of the provided
objective functions using a monte carlo estimate
Input dictionary `objectives` must be of the same
form as `objective_functions.objectives`
Input results must be output from `optimize.... | 7bcc0c1c3a99947500ed6485c3793d26583021b4 | 3,597,459 |
def noncentral_chi_square(df, nconc, shape=[]):
"""noncentral_chi_square(df, nconc) or chi_square(df, nconc, [n, m, ...]) returns array of noncentral chi squared distributed random numbers with df degrees of freedom and noncentrality parameter."""
if shape == []:
shape = None
return mt.noncentral_ch... | f0a30d23add781edb251977062d867fbd0dbb6a3 | 3,597,460 |
def susceptible():
"""
Real Name: b'Susceptible'
Original Eqn: b'INTEG ( -IR, 9999)'
Units: b''
Limits: (None, None)
Type: component
b''
"""
return integ_susceptible() | c85b38874fdbbd4d945c822f6001b6b211616fe6 | 3,597,461 |
def get_all_interfaces():
"""Get all interfaces, up or down.."""
return InterfaceInfos.from_system(require_up=False) | 566d7daa8d76365fc747ca355c7af651f516d124 | 3,597,462 |
def fopen(space, fname, mode, use_include_path=False, w_ctx=None):
""" fopen - Opens file or URL """
if not is_in_basedir(space, 'fopen', fname):
space.ec.warn("fopen(%s): failed to open stream: "
"Operation not permitted" % fname)
return space.w_False
try:
ret... | fba65a55a82c3833155a357e1234579732ac4c1e | 3,597,463 |
def get_object_filename_from_hash(hash_value: str) -> str:
"""
根据Hash得到Object文件路径
:param hash_value:
:return:
"""
return f"{namespace_path}/assets/objects/{hash_value[:2]}/{hash_value}" | e6300eafdd1b0571ca0d2713083c2c1a3ee0f38f | 3,597,465 |
def _pointed_type(tp):
"""Return the pointed type if this is a pointer, otherwise None."""
tp_nam = tp.__name__
if tp_nam.startswith("LP_"):
if tp_nam.startswith("LP_c_") or tp_nam.startswith("LP_4_") or tp_nam.startswith("LP_8_"):
return tp_nam[5:]
return None
if tp_nam ==... | bcd92c3b824016c552c77627cd9ec8b411179a26 | 3,597,466 |
def make_image_carousel_column(image_url=None,
image_resource_id=None,
action=None,
i18n_image_urls=None,
i18n_image_resource_ids=None):
"""
Create a image carousel column object.
... | 7abf182f2255d0486136dcbe64ea8de4a63146c9 | 3,597,467 |
def euclidean(x,y):
"""
Euclidean distance is a well-known distance metric.
It is defined as follows:
Sum of ( sqrt of (x - y)^2 )
"""
assert (isinstance(x, BayesNet) and isinstance(y, BayesNet)), 'Must pass in BayesNet objects.'
assert (x==y), 'Passed-in BayesNet objects are not structurally equal.'
distanc... | d75337c279f2b39abe8f3c816598aa217bd603c6 | 3,597,468 |
from typing import Dict
def mock_influxdb(monkeypatch):
"""mock pms.extra.influxdb.client_pub"""
def client_pub(
*, host: str, port: int, username: str, password: str, db_name: str
) -> PubFunction:
def pub(*, time: int, tags: Dict[str, str], data: Dict[str, float]) -> None:
p... | 9fa561cc13aa4077e5b8509ef02a77789d67a2f4 | 3,597,469 |
def db_size():
"""returns the number of entries in the database
INPUT
OUTPUT
n the number of entries in the database
"""
out = False
try:
con = psycopg2.connect("host='localhost' dbname='nba_tracking' port='5432'")
cur = con.cursor()
cur.execute("SELECT COU... | 4a4b147e6c8eb5bd90ba7f9172b6bdb8d54a4da2 | 3,597,470 |
import binascii
def from_address(text):
"""Convert an IPv4 or IPv6 address in textual form into a Name object whose
value is the reverse-map domain name of the address.
*text*, a ``text``, is an IPv4 or IPv6 address in textual form
(e.g. '10.28.141.171', '::1')
Raises ``dns.exception.SyntaxError... | b174fa451d63123733ffc8716ce2e703cdd9d641 | 3,597,471 |
def activity(request, atype=None, value=None):
"""
Generate the Recent Activity page.
:param request: Django request object (Required)
:type request: :class:`django.http.HttpRequest`
:param atype: How to limit the results ("byuser", "bytag", "bycomment").
:type atype: str
:param value: If l... | bd59e0239c677cc87c9be096c3b402056c7a7e81 | 3,597,472 |
import ctypes
def _NativeStructToH5T(ctype):
"""Creates an HDF5 Type object from a ctypes type.
This function exists as h5t.py_create does not respect field
alignment, and the conversion of ctypes.c_char to length one strings
is undesired.
Args:
ctype: Type to convert.
Returns:
HDF5 type object... | daecb552cc8bb2e542563287d7c54248ad134f1f | 3,597,473 |
def date_converter():
"""Converter for date."""
return Converter(date_decode, date_encode) | 7a3b6e391ffd63b862b55941775ff8f0ef8859f7 | 3,597,474 |
from typing import Optional
async def get_project_summary(
request: Request,
limit: int = 20,
token: Optional[str] = None,
connection: Connection = get_project_readonly_connection,
) -> ProjectSummaryResponse:
"""Creates a new sample, and returns the internal sample ID"""
st = WebLayer(connect... | 3b9d1349425fe6f9c7bbcc338c8503eaa72e7edc | 3,597,475 |
def LCS(seq1, seq2, gap_open_penalty=0, gap_extend_penalty=0, match_reward=1, mismatch_penalty=-np.inf):
"""return Longest common subsequence alignment
Parameters
----------
seq1 : list
list of activities, which is the first sequence to be aligned
seq2 : list
list of activities, whi... | ac922e72352b149b0e627879dc8e831df3bdec3b | 3,597,476 |
def convert_dtype_to_np_dtype_(dtype):
"""
Convert paddle's data type to corrsponding numpy data type.
Args:
dtype(np.dtype): the data type in paddle.
Returns:
type: the data type in numpy.
"""
if dtype is core.VarDesc.VarType.FP32:
return np.float32
elif dtype is ... | 133f277190927734e2b182d5284ffed4342045e5 | 3,597,477 |
from typing import Dict
from typing import Callable
def _signature_changed(intent: Intent, intents: Dict[Text, Callable]) -> bool:
"""
Denotes if function signature has been altered in the UI
:param intent: an intent from UI
:param intents: dictionary of intent implementations
:return:
"""
... | 5fef4ebcc7d56b67899efca68427245b27da9d67 | 3,597,478 |
def find_match(subtime, time_array, mode="larger"):
"""find closet value in an array to a given value
subtime (float):
time_array (np.ndarray): (N, )
"""
if mode == "nearest":
return (np.abs(subtime - time_array)).argsort()[:2].tolist()
elif mode == "larger":
idx = max(0, np.sear... | c042e3574998f8cb4fcb305b6aa9222a95738e79 | 3,597,480 |
def split_count_and_lensing_maps_by_datasets(val=False, config="g", name="map-f1z1.fits.gz",
path_to_output=PATH_TO_OUTPUT,
field=0, covariance=False, zscale=False,
nest=True, npix=NPIX... | b40aa10dc180bcd468c8d69edc0c5808e754e893 | 3,597,481 |
from typing import List
def convert_kusto_response_to_dict(kusto_response: KustoResponseDataSet, page: int = None,
page_size: int = None, limit: int = None) -> List[dict]:
"""
Converting KustoResponseDataSet object to dict type.
Support two use cases of pagination: 'Manu... | aa628f29b4b629e8d5299c443ef9109c7af8af65 | 3,597,482 |
import numpy
def isnan(s):
"""
calls :epkg:`numpy:isnan` but checks it is a float first
@param s object
@return boolean
@raise TypeError if ``s`` is not a ``float``
The function imports :epkg:`numpy` (delayed import).
"""
if isinstance(s, float):
... | f9a3fd11f4697468084659f1375e8fea2328908a | 3,597,483 |
def getNextSetOfImages(form, sampling_method):
"""
Uses a sampling method to get the next set of images needed to be labeled.
Parameters
----------
form : LabelForm class object
form to be used when displaying label.html
sampling_method : SamplingMethods Function
function that r... | ba38df19ab05cb4b6e797f136cd9797465404330 | 3,597,484 |
def compute_distance_to_nearest_corner(xy, arena_size):
"""Returns euclidean distance to nearest corner of the arena.
Assumes that one corner of the rectangular environment is (0, 0) and
others are defined by environment shape limits set by arena_size.
:param xy: array like (x_position, y_position)
... | ef3cf2885393e7b203ca1312e8aab7c1fd32a3d2 | 3,597,485 |
def is_supported_anonymization_type(arg):
"""Returns true if anonymization type is supported"""
return arg in SUPPORTED_ANONYMIZATION_TYPES | 43b2d1c4c1b5624f9c9cb5480031310b23cc0a7c | 3,597,486 |
def set_style(name, height, bold=False):
"""
set style for excel
"""
style = xlwt.XFStyle() # 初始化样式
font = xlwt.Font() # 为样式创建字体
font.name = name # 'Times New Roman'
font.bold = bold
font.color_index = 4
font.height = height
# borders = xlwt.Borders()
# borders.left = 6
... | 5f91c4d911a93fa504769e5796962497f7161f26 | 3,597,487 |
def print_element(element):
"""
Pretty- print an lxml.etree element.
Parameters
------------
element : etree element
"""
pretty = etree.tostring(
element, pretty_print=True).decode('utf-8')
print(pretty)
return pretty | cdeeaee51f858121364e87919401bef4917c16cf | 3,597,488 |
def releaseJ1939Address(address) -> bytes:
"""
Release a J1939 Address (31) (1 byte)
Args:
- Address (1 byte) - the address to release.
This doesn't do anything special with the J1939 bus. All it does is tell your adapter not to
use this address anymore.
"""
return sanitize_msg_param(a... | e883695002f0f65796e0430619f34caea29495c1 | 3,597,489 |
def failover_segment_create(context, values):
"""Insert failover segment to database.
:param context: context to query under
:param values: dictionary of failover segment attributes to create
:returns: dictionary-like object containing created failover segment
:raises exception.FailoverSegmentExi... | 13fa7dc94e5ba12394509f4bf87934c85003b759 | 3,597,490 |
def make_dirsig_command(sim, options=None, dirsig='dirsig', logfile='log'):
""" Makes a command to rund dirsig.
Args:
sim (str): A string containing the name of the sim file.
options (str, optional): A string contating options to pass to dirsig.
The default is None.
dirsig (... | 0cf84907d08fcc60bac4f1a10d8be5ea9f01eddb | 3,597,491 |
def percentage(part, whole):
"""Calculating the coverage of Acidobacteria reads from the set of sequences."""
return 100 * float(part)/float(whole) | c1a5778c57da8ad008a9d0d5a99e1c5214d42426 | 3,597,493 |
def asym_tanh(x, a, b, c1, c2, d):
"""Return asymmetric tanh.
Arguments:
x, a, b, c1, c2, d
Return:
x >= d: a + b*tanh(c1(x-d))
x < d: a + b*tanh(c2(x-d))
"""
if hasattr(x, '__iter__'):
y1 = np.array(a + b*np.tanh(c1*(x[x >= d] - d)))
y2 = np.array(a + b*np.... | 3854cff12d9e8ea9d092171b1dae1d5852fac7be | 3,597,495 |
import hashlib
def md5_(value: str) -> str:
"""
A function to return the md5 hash of the given string.
:param value: The string to hash.
:return: The hashed string.
"""
return str(hashlib.md5(value.encode()).hexdigest()) | e86553ab1c57f48f5e972df1e7abb5237f4d3972 | 3,597,496 |
import requests
import json
def compute_value(model_id, passport_data):
"""
passport-data acts as a signaling div for the site to determine
if any data from the CMP API has been loaded. If not (API down or model not
present), only the tissue and cancer type will show.
"""
if passport_data is n... | 3037293fea1c83a9d70baf57e145ef5a93990d1f | 3,597,497 |
def sharpe(w, mean, cov, benchmark_rate=0.02):
"""
Computes: :math:`-(r_{p} - r_{bm})/\sigma_p`
:param w: asset weights
:param cov: annaulized portfolio covariance
:param mean: annualized portfolio mean returns
:param benchmark_rate: risk free rate or some other benchmark
:return: sharpe ra... | f51b7c1c053ab701e6dc0c26b40791623c49fa0e | 3,597,498 |
from functools import reduce
import operator
def get_from_dict(data_dict, map_list):
""" get_from_dict """
return reduce(operator.getitem, map_list, data_dict) | d0055c144eee26d4d6548ccc76bdc858345b2471 | 3,597,499 |
def make_dist():
"""
Returns:
The class size distribution
"""
class_size_dist = { 7: 8, 12: 8, 17: 14, 22: 4, 27: 6, 32:12, 37: 8, 42: 3,
47: 2 }
return class_size_dist | 5f9164052d8ea51a749919e470b3cc08e6a7cc06 | 3,597,500 |
def dc_user(request, username, data=None):
"""
Show (:http:get:`GET </dc/(dc)/user/(username)>`) details of a user (username)
with access to a specific datacenter (dc).
.. http:get:: /dc/(dc)/user/(username)
:DC-bound?:
* |dc-yes|
:Permissions:
* |Admin|
... | 61f80021f2fb03526c4751c26b59b3b74d6f5b2d | 3,597,501 |
def has_multiple(data):
"""Checks if data has multiple entries (list of lists or (n,d) numpy array)"""
return (is_numpy(data) and len(data.shape) > 1) or is_double_list(data) | c45d8f7494483200f887a1e2cb52b5bef79e49a5 | 3,597,503 |
def _item_to_entry(iterator, resource, loggers):
"""Convert a log entry resource to the native object.
.. note::
This method does not have the correct signature to be used as
the ``item_to_value`` argument to
:class:`~google.api_core.page_iterator.Iterator`. It is intended to be
... | d70e72930a7c5e54d70183e8bcd8dffbe689ae83 | 3,597,504 |
def brightness_transform(data_sample, mu=0.0, sigma=0.3, num_patches=324, num_channel=2,
shape_data=None, per_channel=True, p_per_channel=1):
"""Performs additive brightness transformation"""
assert shape_data is not None, "Data shape should not be None"
data_sample_patch = []
... | 5e019972db8fb351a38ba58e7cde86b34f9488b9 | 3,597,505 |
def idFormat(id_num):
"""Format a numeric id into 5-digit string.
Paramters
---------
id_num: str
A unique string number assigned to a User or Request.
"""
if len(id_num) == 1:
id_num = "0000" + id_num
elif len(id_num) == 2:
id_num = "000" + id_num
e... | a3afb52dd552fe7eb6e971bd3f889bb114ee505c | 3,597,506 |
def thumbnail(path, filename, description):
"""
Returns the HTML to show an image including thumbnail.
Assumes the thumbnail is called 'thumbnail_foo.jpg.png' if the image is called 'foo.jpg'.
Path should be relative inside static root.
Description is used for alt-text and mouseover.... | 9b2b04518da48dfa3899bf50b706ecd244c6a5be | 3,597,507 |
def obtemDadosCadastraisCVM(compAtivas=True, codCVM=False):
"""
Returns a dataframe of Registration data for all Companies available at http://dados.cvm.gov.br/dados/CIA_ABERTA/CAD/DADOS/cad_cia_aberta.csv
"""
url = "http://dados.cvm.gov.br/dados/CIA_ABERTA/CAD/DADOS/cad_cia_aberta.csv"
#s = request... | f6795f1e5ae3c46cae2d4dbf57a245f078293a84 | 3,597,508 |
def rand_alt_mat(N):
"""
Generates a random N x N permutation matrix of determinant +1.
"""
Q = np.eye(N, dtype='int')
s = 1
while s > 0:
p = np.random.permutation(np.arange(N))
s = perm_parity(p)
return Q[:, p] | 762f2a83e93b8a177df070f870ed3a4668c8e847 | 3,597,509 |
import time
def eeccsd_matvec_singlet(eom, vector, kshift, imds=None, diag=None):
"""Spin-restricted, k-point EOM-EE-CCSD equations for singlet excitation only.
This implementation can be checked against the spin-orbital version in
`eom_kccsd_ghf.eeccsd_matvec()`.
"""
cput0 = (time.clock(), ... | f6268542b4f54e264fa279aeabc73d2ecf0063fb | 3,597,510 |
def clip_catch(automated_df,manual_df):
"""
Function that determines whether or not a human label has been found across all of the automated labels.
Args:
automated_df (Dataframe) - Dataframe of automated labels for an audio clip.
manual_df (Dataframe) - Dataframe of human labels for an aud... | 1c391f7ba8677cce1bd33be57b3bc4b7cc89675f | 3,597,511 |
def get_latest_update(feed):
"""
Retrieves the date of the last update from an RSS feed.
Args:
feed: URL to the feed or FeedParser representing the parsed feed.
Returns:
The date of last update as a struct_time.
"""
feed = _parse_feed_if_necessary(feed)
update_dates = (e.ge... | 705b91c619285ed987394194e16dd595cd86d9d3 | 3,597,512 |
def next_multiple(query, multiple):
"""Get the next multiple
Args:
query (int): To test
multiple (int): Divider
Returns:
int: Next multiple of divider
"""
result = query
while result % multiple:
result += 1
return result | e76e59e94e7ac72dbcf86a6c99a17229acc7a15d | 3,597,513 |
def prime(var):
"""Return primed variable."""
assert not isprimed(var), var
return var + PRIME | bc937ea754c1cced59f57d3eff8f51512ba5326d | 3,597,515 |
import re
def parse_requirements(file_name):
"""
from:
http://cburgmer.posterous.com/pip-requirementstxt-and-setuppy
"""
requirements = []
with open(file_name, 'r') as f:
for line in f:
if re.match(r'(\s*#)|(\s*$)', line): continue
if re.match(r'\s*-e\s+', l... | e599607bf8d4cc4137f07c4d57041fc795fa540d | 3,597,516 |
def load(fp, key_delimiter=DEFAULT_KEY_DELIMITER, dict_delimiter=DEFAULT_DICT_DELIMITER):
""" Load dictionary from FDF file in file-like object
:param TextIOWrapper fp: the file-like object to open
:param str key_delimiter: the delimiter between the key and value
:param str dict_delimiter: the delimite... | 015dc5ff5f8435981932b394539d3d1cef623164 | 3,597,517 |
import time
def nlinvns(Y, n, *arg, DTYPE=np.complex64, DTYPE_real=np.float32):
"""Non-linear inversen based Coil sensitivity estimation.
Parameters
----------
Y : numpy.array
Data used for estimation
n : int
number of Gausse-Newton iteration steps
realConstr : bool
... | 03754af211a7392625c85788d186f59c4ba20e5e | 3,597,518 |
def astar_search_graph(problem, h=None):
"""A* search is best-first graph search with f(n) = g(n)+h(n).
You need to specify the h function when you call astar_search, or
else in your Problem subclass."""
h = memoize(h or problem.h, 'h')
iterations, all_node_colors, node = best_first_graph_search_for... | 850385eaffd6f73ee88fe6a09fef42f7143229d6 | 3,597,519 |
def cmd_factory(cmd, doc=None):
""" Factory to create GCode Command Functions. """
def cmd_fcn(self, **kwargs):
f""" {cmd}:"""
args = list()
# Loop through each of the given arguments
for key, value in kwargs.items():
# If the value is a known numeric type
... | 438d787795fe82cf581a11d680932cecadb18349 | 3,597,520 |
def tierpsy_trajectories_summary(
fname, filter_params, time_windows, time_units,
only_abs_ventral=False, selected_feat=None,
is_manual_index=False, delta_time=1/3):
"""
Calculate the trajectory summaries for a given file fname, within a given time window
(units of start time and end... | ff504d0983a6208b36ca6350fa5dc046ac278c16 | 3,597,521 |
import tempfile
def burn_subtitles_into_video(video_path, subtitle_path, output_path):
"""
Create new video with subtitles burned in
:param video_path: input video path
:param subtitle_path: subtitle input path
:param output_path: video output path
:return: File name that it has written to
... | 410fb27fd73a541323086a32ff5e52e6d1f3e078 | 3,597,522 |
def change_dict_structure(dict_list):
"""Takes list of dicts from db_query and changes to dict with key=id, value = text (used for metrices).
Args:
dict_list (list): List of dictionaries from db_query.
Returns:
texts (dictionary): Dictionary with document IDs as keys and document text as val... | 1e31055606a692f4e743a61f8a394134b9e72126 | 3,597,523 |
def _convert_json_keywords(json_dict, conversion_dict):
"""
Makes a shallow copy of a dictionary with JSON-formatted, producing a dictionary with
Python-formatted keys
:param json_dict: the JSON dictionary
:param conversion_dict: a dictionary that maps JSON keywords to their Python equivalents. Any
... | bef2749d49411489b61a6692eea15c06004ab264 | 3,597,524 |
import json
def get_block_ledger(db, block_index):
"""Return the block's ledger."""
cursor = db.cursor()
debits = list(cursor.execute('''SELECT * FROM debits WHERE block_index = ?''', (block_index,)))
credits = list(cursor.execute('''SELECT * FROM credits WHERE block_index = ?''', (block_index,)))
... | d35fb07ed1c2e3a250172c11baf9072911e465fe | 3,597,525 |
def _transform_cetera_result(result, result_position, num_rows, num_columns):
"""
Utility function for transforming Cetera result dictionary into something
more suitable for the crowdsourcing task. Presently, we're grabbing name,
link (ie. URL), and the first sentence of description.
Args:
... | 06fb6232a40fe9aefb5f36c510ae43ad673271f2 | 3,597,526 |
def _flat_palette(color, n_colors=6, reverse=False, as_cmap=False,
input="rgb"):
"""Make a sequential palette that blends from gray to ``color``.
Parameters
----------
color : matplotlib color
hex, rgb-tuple, or html color name
n_colors : int, optional
number of co... | 8edb9f3cdd1b67d300b1d3ccbb478bbe316dc789 | 3,597,527 |
from typing import Optional
def get_route(resource_group_name: Optional[str] = None,
route_name: Optional[str] = None,
route_table_name: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetRouteResult:
"""
Route resource.
:param str... | 47fe6cc3db32ac01cead5e293e60facaa433be4a | 3,597,528 |
def DSER(results):
"""DA Segmentation Rate: number of segments of the
reference incorrectly segmented
over number of reference segments.
"""
assert len(results) == 2
CorrectSegs = results[0]
TotalSegs = results[1]
return ((TotalSegs-CorrectSegs)/TotalSegs) * 100 | 5d74c7bd3329448609fe36fa4d7778155c54d7c1 | 3,597,529 |
def fetch_activity_between_dates(activity_type: str, start_date: str, end_date: str) -> dict:
"""
Fetch and return Activity objects within the specified date range for the given activity type.
These dates refer to the posting date of the account (not necessarily when the record was
added to the DB).
... | 1dbf9cdf863b8143c626d804c292e548a3a5630c | 3,597,530 |
def sign(x):
"""
np.sign(0) = 0 but here to avoid value 0,
we redefine it as def sign(0) = 1
"""
return 1.0 if x >= 0 else -1.0 | 9fcaceee5506f16500d36382dd4582a766c3bba1 | 3,597,531 |
def filter_current_symbol(view, point, symbol, locations):
"""
Filter the point specified from the list of symbol locations. This
results in a nicer user experience so the current symbol doesn't pop up
when hovering over a class definition. We don't just skip all class and
function definitions for t... | bf46bbbd57381cbd06d1aa80ec0688abf7280dd0 | 3,597,532 |
import json
def trigger_simulation(demoGuid):
"""
Trigger a simulation in the given demo
Creates a Snow Storm in the DC area
"""
try:
payload = dict()
payload['demoGuid'] = demoGuid
event = dict()
event = json.loads(open('./sample_event.json').read())
paylo... | 95db3f38671f5e2423220cd10d476d18dee2bdc3 | 3,597,533 |
def get_file_info(var_dict, lu_df):
""" determine which raw files are needed to pull specified variales
:param var_dict: variable info dict returned from get_var_info
:param lu_df: column lookup dataframe ready from output of prep_acs.py
:returns: list of necessary files, dict of vars per file
"""
all_vars = l... | 66af4599b4ac7e5e070a34ec2b4956ec75b4d0c8 | 3,597,535 |
def equal_twists(t1, t2):
""" Determines if two Twist actions are equal
Args:
t1, t2: the Twist actions in question
"""
return all([np.isclose(t1.linear.x, t2.linear.x),
np.isclose(t1.linear.y, t2.linear.y),
np.isclose(t1.linear.z, t2.linear.z),
n... | 95ffa6dec56d14e77fbc95bfd0f29186e1b3cfd8 | 3,597,537 |
def dPdT(eff, freqs):
"""
Change in power on the detector with change in CMB temperature [W/K]
Args:
eff (float): detector efficiency
freqs (float): observation frequencies [Hz]
"""
temp = np.array([physics.Tcmb for f in freqs])
return np.trapz(physics.ani_pow_spec(
np.array(fre... | d65f9870ee510674a65074223371223c1c7dc63e | 3,597,538 |
def remove_named_entities(doc, ent_list):
"""
function to remove named entities
@param doc - input text
@param ent_list - A list of labels
@return String A string that has the named entities removed
"""
if not doc.strip():
raise Exception("doc is empty")
if not iter(ent_list)... | 7ecd4321d21c20d7bb9452e687083dee60fe8cc5 | 3,597,539 |
def build_sliding_net(
window_size, num_filters_list, activation, apply_negativity_transform=True):
"""Builds neural network sliding over the input.
The receptive field of this network is window_size.
Args:
window_size: Integer, the window size of the input, window_size >= 1.
num_filters_list: List ... | 7cee75213c940dc3b13ded65e53df1749130731e | 3,597,540 |
def conv_layer(input_tensor, kernel_nr, kernel_size, stride,
train, summary=False, bnorm=True, relu=True,
data_format="NCHW", bn_decay=0.95):
"""Builds a full conv layer, with variables and relu
Args:
input_tensor: input tensor
kernel_nr: This layer's number of filters
kern... | cbdca99cd93859cc122a20006f59ca5ae4a507d0 | 3,597,541 |
def count_params(trainable_weights):
"""
Count the number of trainable parameters in a model
George: Could have used tf.size(tensor) = num of elements in a tensor
"""
count = 0
for weight in trainable_weights:
try:
count += tf.shape(weight).numpy()[0] * tf.shape(weight)... | 3929cd708890693892843fd7a056e96015a2f378 | 3,597,542 |
from typing import Tuple
def generate_rsa_keypair() -> Tuple[str, str]:
"""
Generate an RSA keypair with a key size of 2048 bits and an
exponent of 65537. Serialize the public key in the the
X.509 SubjectPublicKeyInfo/OpenSSL PEM public key format
(RFC 5280). Serialize the private key in the PKCS#... | 0927508ced65a7e28a3587956ceedab011b05046 | 3,597,545 |
def partialDOIMatch(d1, d2):
"""
Assumes d1 is a "full DOI", like '10.1145/1166253.1166292', and d2
is a partial DOI, like '1166292' or '1166253.1166292'. Returns true
if they match and false otherwise.
Note that in the previous case, a partial like '292' would be a
negative match. The partia... | 8a2c21ec4d2c847609bc9f25f1c3705e3801e269 | 3,597,546 |
def compute_clustering(local_X, local_centroids):
"""
Compute local clustering by associating each data instance with the
nearest centroid
Input: local_X, centroids as above
Output: cluster_labels- a list of N many integers,
the labels for each i... | 293e3bc098cacea924a3f0270775509424b2c0d6 | 3,597,547 |
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