content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import tqdm
def convNodeToProblems(graphList,vecGraphList,masterEncoder,genre=["C","V"],targetParams=CF.targetParams):
"""
graphList: list of graphs (before vectorization)
vecGraphList: list of vectorized graphs (of graphList)
masterEncoder: masterEncoder
genre: genre to make problems: C: compoun... | c8eaa40c1b178ef55419956a1a2013875fa7421a | 3,638,500 |
import SimpleITK as sitk
import os
def create_white_edge_cost_image(t1_file, t2_file, gm_proba_file, out_file):
"""
This class represents a...
:param t1_file:
:param t2_file:
:param gm_proba_file:
:param out_file:
:return:
"""
gm_proba = sitk.ReadImage(gm_proba_file)
negative... | edc64e6c602b01b33dc99fb4a724bbc35f523063 | 3,638,501 |
import math
def getDewPoint(temp, humidity):
"""
A utility function to get the temperature to which an amount of air must be
cooled in order for water vapor to condense into water. This is only valid
for: 1) temperatures between 0C and 60C, 2) relative humidity between 1%
and 100%, and 3) dew poin... | 0e67eef5a90d9e55f85906d57e6c2eb347044897 | 3,638,502 |
import json
def get_result_handler(rc_value, sa_file=None):
"""Returns dict of result handler config. Backwards compatible for JSON input.
rc_value (str): Result config argument specified.
sa_file (str): SA path argument specified.
"""
try:
result_handler = json.loads(rc_value)
except... | 83c6aa6e0cacdc64422553050072af5d8ea46bf6 | 3,638,503 |
def speedup_experiment_ts(args, model_iter_fn, model, example_inputs):
"""
Measure baseline performance (without using TorchDynamo) of TorchScript and optimize_for_inference.
Writes to ./baseline_ts.csv
"""
return baselines(
[
("eager", model),
("ts", try_script(mode... | 0936d5e24759ae5e04027f8e68e467caa24d5ccb | 3,638,504 |
from typing import Tuple
def my_polyhedron_to_label(
rays: Rays_Base, dists: ArrayLike, points: ArrayLike, shape: Tuple[int, ...]
) -> npt.NDArray[np.int_]:
"""Convenience funtion to pass 1-d arrays to polyhedron_to_label."""
return polyhedron_to_label( # type: ignore [no-any-return]
np.expand_di... | f967a963fcb47c964895da182a48568a2a8a8ee2 | 3,638,505 |
import tqdm
from sys import stdout
from sys import path
def order_files_by_ranges(root_path: str, dest_path: str, date_ranges: list, *, save_unsorted: bool = True) -> list:
"""Copies all files (including subdirectories)
from given path to destination path
without any loss of data
and groups them in... | 93d382eb6c0bb08ee9a0fdccc21533e075238cf7 | 3,638,506 |
from typing import Optional
def get_incident_comment(incident_comment_id: Optional[str] = None,
incident_id: Optional[str] = None,
operational_insights_resource_provider: Optional[str] = None,
resource_group_name: Optional[str] = None,
... | c0fa6ec1bb7bcccc379455454296bc6a5814946f | 3,638,507 |
def getOrElseUpdate(dictionary, key, opr):
"""If given key is already in the dictionary, returns associated value.
Otherwise compute the value with opr, update the dictionary and return it.
None dictionary are ignored.
>>> d = dict()
>>> getOrElseUpdate(d, 1, lambda _: _ + 1)
2
>>> print(d)
{... | 95454d7ca34d6ae243fda4e70338cf3d7584b827 | 3,638,508 |
from operator import add
from operator import mul
def gs_norm(f, g, q):
"""
Compute the squared Gram-Schmidt norm of the NTRU matrix generated by f, g.
This matrix is [[g, - f], [G, - F]].
This algorithm is equivalent to line 9 of algorithm 5 (NTRUGen).
"""
sqnorm_fg = sqnorm([f, g])
ffgg ... | da30e1bac41cba3a6c051ba0159234aac5e6e3cc | 3,638,509 |
from phaser import substructure
def find_anomalous_scatterers(*args, **kwds):
"""
Wrapper for corresponding method in phaser.substructure, if phaser is
available and configured.
"""
if (not libtbx.env.has_module("phaser")):
if "log" in kwds:
print("Phaser not available", file=kwds["log"])
retu... | 0c88f0df336802fa798ac26966485b28105a6238 | 3,638,510 |
def OpChr(ea, n):
"""
@param ea: linear address
@param n: number of operand
- 0 - the first operand
- 1 - the second, third and all other operands
- -1 - all operands
"""
return idaapi.op_chr(ea, n) | 39c2716ed7344fccd85edda2d27b7a7f305cb14b | 3,638,511 |
def check_access(func):
"""
Check whether user is in policy owners group
"""
def inner(*args, **kwargs):
keycloak = get_keycloak()
if 'policy_id' in kwargs:
current_user = kwargs['user']
group_name = f'policy-{kwargs["policy_id"]}-owners'
group_list = ... | 6655af97f11ae04587904f1aaf2a2225ace5b64d | 3,638,512 |
def score_ranking(score_dict):
"""
用pandas实现分组排序
:param score_dict: dict {'591_sum_test_0601': 13.1, '591_b_tpg7': 13.1, '591_tdw_ltpg6': 14.14}
:return: DataFrame
pd.DataFrame([['591_sum_test_0601', 13.10, 2.0, 0.6667],
['591_b_tpg7', 13.10, 2.0, 0.6667],
['591_tdw_ltpg6', 14.14, 3.0, 1.0]]... | d799576afe382c13124c703351b69b8bcb7393b2 | 3,638,513 |
def dock_widget(widget, label="DockWindow", area="right", floating=False):
"""Dock the given widget properly for both M2016 and 2017+."""
# convert widget to Qt if needed
if not issubclass(widget.__class__, QObject):
widget = utils.to_qwidget(widget)
# make sure our widget has a name
name =... | 80ef6bde493585e0010a497dfb179600aae04e9e | 3,638,514 |
def compute_benjamin_feir_index(bandwidth, steepness, water_depth, peak_wavenumber):
"""Compute Benjamin-Feir index (BFI) from bandwidth and steepness estimates.
Reference:
Serio, Marina, et al. “On the Computation of the Benjamin-Feir Index.”
Nuovo Cimento Della Societa Italiana Di Fisica C, ... | 2b3ef715a85a6dab837a36f86c3eeeaed05f8345 | 3,638,515 |
import sys
def query_yes_no(question, default="yes"):
"""Ask a yes/no question via raw_input() and return their answer.
"question" is a string that is presented to the user.
"default" is the presumed answer if the user just hits <Enter>.
It must be "yes" (the default), "no" or None (meaning
... | 058ab1b06f9b3179264e0dc46c131f3a089abfa9 | 3,638,516 |
def plaintext_property_map(name: str) -> Mapper:
"""
Arguments
---------
name : str
Name of the property.
Returns
-------
Mapper
Property map.
See Also
--------
property_map
"""
return property_map(
name,
python_to_api=plaintext_to_noti... | 9b909de0eba2d8f55375896bb2acbbb53c6d759f | 3,638,517 |
def pooling_layer(net_input, ksize=(1, 2, 2, 1), strides=(1, 2, 2, 1)):
"""
TensorFlow pooling layer
:param net_input: Input tensor
:param ksize: kernel size of pooling
:param strides: stride of pooling
:return: Tensor after pooling
"""
return tf.nn.max_pool(net_input, ksize=ksize, strid... | 4de6b7bdb5860cfa235975f799204522e77b9299 | 3,638,518 |
from typing import OrderedDict
def set_standard_attrs(da):
""" Add standard attributed to xarray DataArray"""
da.coords["lat"].attrs = OrderedDict(
[
("standard_name", "latitude"),
("units", "degrees_north"),
("axis", "Y"),
("long_name", "latitude"),
... | 21f83552466127928c9a30e9354e91c3031225aa | 3,638,519 |
import os
def find_git_repos(folder):
"""
Returns a list of all git repos within the given ancestor folder.
"""
return [root for root, subfolders, files
in os.walk(folder)
if '.git' in subfolders] | 615fcc3e947ac3f198638acb23b8a8118c3ec9cd | 3,638,520 |
def isnotebook():
"""
Utility function to detect if the code being run is within a jupyter
notebook. Useful to change progress indicators for example.
Returns
-------
isnotebook : bool
True if the function is being called inside a notebook, False otherwise.
"""
try:
shel... | 71e0a77c4bbf3afe16723b01ee5a8d08cf3b98a3 | 3,638,521 |
from typing import Optional
from typing import Tuple
from typing import List
from typing import Dict
def get_poagraph(dagmaf: DAGMaf.DAGMaf,
fasta_provider: missings.FastaProvider,
metadata: Optional[msa.MetadataCSV]) -> \
Tuple[List[graph.Node], Dict[msa.SequenceID, graph.Se... | cdc62d444cd22a8ff4c1b99382ffcc35a0ab33a6 | 3,638,522 |
def const_bool(value):
"""Create an expression representing the given boolean value.
If value is not a boolean, it is converted to a boolean. So, for
instance, const_bool(1) is equivalent to const_bool(True).
"""
return ['constant', 'bool', ['{0}'.format(1 if value else 0)]] | d11d01f94b8ad20d393a39a28dbfd18cc8fa217e | 3,638,523 |
import struct
def long_to_bytes(n, blocksize=0):
"""Convert an integer to a byte string.
In Python 3.2+, use the native method instead::
>>> n.to_bytes(blocksize, 'big')
For instance::
>>> n = 80
>>> n.to_bytes(2, 'big')
b'\x00P'
If the optional :data:`blocksize` i... | 1157a466ce9754c12e01f7512e879cc28a2a4b23 | 3,638,524 |
def vector_matrix_mul(v, M):
"""
returns the product of vector v and matrix M
Consider using brackets notation v[...] in your procedure
to access entries of the input vector. This avoids some sparsity bugs.
"""
assert M.D[0] == v.D
res = {k: 0 for k in M.D[1]}
for i, j in M.f:
... | cd2751850f17b2a71aba906b9525cca91d0ddb82 | 3,638,525 |
def peek(library, session, address, width):
"""Read an 8, 16 or 32-bit value from the specified address.
:param library: the visa library wrapped by ctypes.
:param session: Unique logical identifier to a session.
:param address: Source address to read the value.
:param width: Number of bits to read... | 6203a516f5a67daa67ec0f37c0e3a8818515f2de | 3,638,526 |
import pkg_resources
import textwrap
import os
import io
def create_text_image(text, image_export=False, **kwargs):
"""
Create a jpg with given text and return in bytes format
"""
text_canvas_w = 720
text_canvas_h = 744
text_canvas_bg = 'white'
text_canvas_fg = 'black'
text_canvas_font... | 1cff45768f43c0c1737f599c38c377ae0366534b | 3,638,527 |
def mtf_from_psf(psf, dx=None):
"""Compute the MTF from a given PSF.
Parameters
----------
psf : `prysm.RichData` or `numpy.ndarray`
object with data property having 2D data containing the psf,
or the array itself
dx : `float`
sample spacing of the data
Returns
----... | fb009d3068c67447d2f10c3448e91b258a0d7ca3 | 3,638,528 |
def check_intersection(vertical_line: Line, other_line: Line) -> bool:
"""
Check for intersection between two line segments.
:param vertical_line: The first line segment. Guaranteed to be vertical.
:param other_line: The second line segment.
:return: Whether or not they intersect.
"""
intersection = get... | 7e9279ea5976b99c9edb36ae5c59bcc69d22aa59 | 3,638,529 |
from krun.scheduler import ManifestManager
from krun.platform import detect_platform
def get_session_info(config):
"""Gets information about the session (for --info)
Overwrites any existing manifest file.
Separated from print_session_info for ease of testing"""
platform = detect_platform(None, conf... | 25729c3838fc7b600600dd74da44a3be9fd7b46d | 3,638,530 |
def rotate(x, y, a):
"""Rotate vector (x, y) by an angle a."""
return x * np.cos(a) + y * np.sin(a), -x * np.sin(a) + y * np.cos(a) | 2858539f3de5c15072657af5f39231f8e7867b6b | 3,638,531 |
def filt_all(list_, func):
"""Like filter but reverse arguments and returns list"""
return [i for i in list_ if func(i)] | 72010b483cab3ae95d49b55ca6a70b0838b0a34d | 3,638,532 |
def auth_user_logout(payload,
override_authdb_path=None,
raiseonfail=False,
config=None):
"""Logs out a user.
Deletes the session token from the session store. On the next request
(redirect from POST /auth/logout to GET /), the frontend will is... | 1f468a53f82a58f8c5c3f5397d6f026276a93f05 | 3,638,533 |
def rx_observer(on_next: NextHandler, on_error: ErrorHandler = default_error, on_completed: CompleteHandler = default_on_completed) -> Observer:
"""Return an observer.
The underlying implementation use an named tuple.
Args:
on_next (NextHandler): on_next handler which process items
on_erro... | 2ebfd3c6b4e5ed854fdc89e76ac006fddd20ad0b | 3,638,534 |
def _rav_setval_ ( self , value ) :
"""Assign the valeu for the variable
>>> var = ...
>>> var.value = 10
"""
value = float ( value )
self.setVal ( value )
return self.getVal() | 80ad7ddec68d5c97f72ed63dd6ba4a1101de99cb | 3,638,535 |
import scipy
def import_matrix_as_anndata(matrix_path, barcodes_path, genes_path):
"""Import a matrix as an Anndata object.
:param matrix_path: path to the matrix ec file
:type matrix_path: str
:param barcodes_path: path to the barcodes txt file
:type barcodes_path: str
:param genes_path: pat... | 83f5ccdaa945f26451ab2834c832e0e1ea58ce89 | 3,638,536 |
import torch
import tqdm
def get_representations(dataset, pretrained_model, alphabet, batch_size=128):
"""Returns: N x 1280 numpy array"""
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
pretrained_model = pretrained_model.to(device)
dataloader = DataLoader(
dataset, bat... | 7a199156810b787ae7fb8ea059ebe69b6de70250 | 3,638,537 |
def rem_hap_cands():
"""json endpoint to set a sample or set of
sample's haplotype candidate designation to false"""
form = flask.request.form
samples = form['samples']
return mds.remove_hap_cands(samples) | ca22c2af4b6079f3b03accb3b414d553da75e1e3 | 3,638,538 |
from pathlib import Path
def construct_subdirExample(str_dirname):
"""
Método auxiliar para utilizarmos nosso exemplo.
Constrói um conjunto de Diretórios e arquivos
para serem testados.
DirOrigem/
|
├── dir01
│ ├── arq01.dat
│ ├── arq02.dat
... | e06c900f16ab5e27df6cb269ad2ed8a6da17f62e | 3,638,539 |
import json
import pandas as pd
from urllib.request import urlopen
import os
def geojson_to_df(in_geojson, encoding="utf-8", drop_geometry=True):
"""Converts a GeoJSON object to a pandas DataFrame.
Args:
in_geojson (str | dict): The input GeoJSON file or dict.
encoding (str, optional): The en... | 242230d241af9a6e87de52664dc60754eab10fae | 3,638,540 |
def UndistortImage(image,image_size,\
image_rotation=None,image_center=None,\
out_xs=None,out_ys=None,\
direction='fwd',regenerate_grids=True,\
**kwargs):
"""Remember the recipe for fixin gwyddion image orientation: `image0=image0.T[:,:... | 12cc1e1e428b8a860b0b29a6b81169cb6c1dc73d | 3,638,541 |
def quartic_oscillator(grids, k=1.):
"""Potential of quantum quartic oscillator.
Args:
grids: numpy array of grid points for evaluating 1d potential.
(num_grids,)
k: strength constant for potential.
Returns:
vp: Potential on grid.
(num_grid,)
"""
vp = 0.5 * k * gr... | c4a386816cd85e24080d62365d2bcd25b6735d5f | 3,638,542 |
def compute_row_similarities(A):
"""
Compute pairwise similarities between the rows of a binary sparse matrix.
Parameters
----------
A: scipy csr_matrix, shape (rows, cols)
Binary matrix.
Returns
-------
sim: numpy array, shape (rows, rows)
Pairwise column similarities.... | 96ab44ec15f94bf666da248100a98f282119caf1 | 3,638,543 |
def sha9(R, S):
"""Shape functions for a 4-noded quad element
Parameters
----------
x : float
x coordinate for a point within the element.
y : float
y coordinate for a point within the element.
Returns
-------
N : Numpy array
Array of interpolation functions.
Exa... | ba34cde6b5673853d34b9e074e2fbc05dc845aa5 | 3,638,544 |
def padding(seq, size, mode):
"""
Parameters
----------
seq: np.array
The sequence to be padded.
mode: str
Select padding mode among {"zero", "repeat"}.
Returns
-------
seq: np.ndarray
"""
if mode == "zero":
seq = np.array(trimmer(seq, size, fille... | 3a0a070f784a355ead8439ff63f09918fa401014 | 3,638,545 |
def get_dense_span_ends_from_starts(dense_span_starts,
dense_span_ends):
"""For every mention start positions finds the corresponding end position."""
seq_len = tf.shape(dense_span_starts)[0]
start_pos = tf.cast(tf.where(tf.equal(dense_span_starts, 1)), tf.int32)
end_pos = tf... | d825ed109b6055ca84adf46f6e5fd91cb5dd513a | 3,638,546 |
def bb_to_plt_plot(x, y, w, h):
""" Converts a bounding box to parameters
for a plt.plot([..], [..])
for actual plotting with pyplot
"""
X = [x, x, x+w, x+w, x]
Y = [y, y+h, y+h, y, y]
return X, Y | 10ea3d381969b7d30defdfdbbac0a8d58d06d4d4 | 3,638,547 |
def handler404(request, *args):
"""
Renders 404 page.
:param request: the request object used
:type request: HttpRequest
"""
return render(request, '404.html', status=404) | 2ae6e036bb56b46ee16a4c0bec4182ba999f14ed | 3,638,548 |
def merge_dimensions(z, axis, sizes):
"""Merge dimensions of a tensor into one dimension. This operation is the opposite
of :func:`split_dimension`.
Args:
z (tensor): Tensor to merge.
axis (int): Axis to merge into.
sizes (iterable[int]): Sizes of dimensions to merge.
Returns:
... | 5ef62cd90ebf5bd9276f334a65a7a9075f5d3710 | 3,638,549 |
import collections
import re
def get_assignment_map_replaced(init_ckpt,
name_replacement_dict={},
list_vars=None):
""" name_replacement_dict = { old_name_str_chunk: new_name_str_chunk }
"""
if list_vars is None:
list_vars = tf.global_... | fd7df6630f84bde9caf747540c05729b8898ffa0 | 3,638,550 |
def RULE110():
"""RULE 110 celular automata node.
.. code::
000 : 0
001 : 1
010 : 1
011 : 1
100 : 0
101 : 1
110 : 1
111 : 0
"""
return BooleanNode.from_output_list(outputs=[0,1,1,1,0,1,1,0], name="RULE 110") | 3c79a7b6c25f031fdeac4a86f2afc770ad71ea23 | 3,638,551 |
def search_cut(sentence):
"""
HMM的切割方式
:param sentence:
:return:
"""
return jieba.lcut_for_search(sentence) | 7ee0f7eb1a16cd24920b98e38387b2c9b576990f | 3,638,552 |
from typing import Counter
def count_items(column_list:list):
"""
Contar os tipos (valores) e a quantidade de items de uma lista informada
args:
column_list (list): Lista de dados de diferentes tipos de valores
return: Retorna dois valores, uma lista de tipos (list) e... | 06cf25aed4d0de17fa8fb11303c9284355669cf5 | 3,638,553 |
import cloudpickle
def py_call(obj, inputs=(), direct_args=()):
"""Create a task that calls Python code
Example:
>>> def hello(x):
return b"Hello " + x.read()
>>> a = tasks.const("Loom")
>>> b = tasks.py_call((a,), hello)
>>> client.submit(b)
b'Hello Loom'
"""
task = ... | f89a5876fcf9b4c192f2b7c6d1362bf5a97e399c | 3,638,554 |
def to_graph(grid):
"""
Build adjacency list representation of graph
Land cells in grid are connected if they are vertically or horizontally adjacent
"""
adj_list = {}
n_rows = len(grid)
n_cols = len(grid[0])
land_val = "1"
for i in range(n_rows):
for j in range(n_cols):
... | ebdd0406b123a636a9d380391ef4c13220e2dabd | 3,638,555 |
def validate_doc(doc):
"""
Check to see if the given document is a valid dictionary, that is, that it
contains a single definition list.
"""
return len(doc.content) == 1 and \
isinstance(doc.content[0], pf.DefinitionList) | c60799ebbdaa7ec2e3a7e6607853ff021a40ed17 | 3,638,556 |
def is_renderable(obj, quiet=True):
"""
Checks if object is renderable
Args:
obj (unicode): Name of object to verify
quiet (bool): If the function should keep quiet (default=True)
Returns:
(bool) if its renderable or not
"""
# unit test
# make sure we are not working ... | 7e0b402fc8634d96717209274dc5c69a32da395d | 3,638,557 |
import traceback
import traceback
import traceback
from datetime import datetime
import requests
import io
import operator
import csv
import re
def _refresh_database(bot, force=False, prune=True, callback=None, background=False, db=None):
"""
Actual implementation of refresh_database.
Refreshes the datab... | ae88cbe622accfd6deb9056dd7fe33dbca19fa11 | 3,638,558 |
def V_bandpass(V, R_S, C, L, R_L, f):
"""
filter output voltage
input voltage minus the current times the source impedance
"""
# current in circuit
I = V/(R_S + Z_bandpass(C, L, R_L, f))
# voltage across circuit
V_out = V - I*R_S
return V_out | c21c54e7065a32531dca417eb7e50ea63db820d8 | 3,638,559 |
import os
def get_server_url():
"""
Return current server url, does not work in a task
"""
host = os.environ.get('HTTP_X_FORWARDED_HOST') or os.environ['HTTP_HOST']
return u'%s://%s' % (os.environ['wsgi.url_scheme'], host) | c71f2244b8dd023b11a6db0aee885d4d332f3a7c | 3,638,560 |
from admiral.celery import celery
def celery():
"""Celery app test fixture."""
return celery | 69f672e1c6a568e14a4ad9f5df723b454a346b03 | 3,638,561 |
def perm_cache(func):
"""
根据用户+请求参数，把权限验证结果结果进行缓存
"""
def _deco(self, request, view):
# 只对查询（GET方法）进行权限缓存
if request.method != "GET":
return func(self, request, view)
user = request.user.username
kwargs = "_".join("{}:{}".format(_k, _w) for _k, _w in list(vi... | 4ca53057b12efb15dddb422b3aaaddd11898f4bd | 3,638,562 |
def ast_walker(handler):
"""
A generic AST walker decorator.
Decorates either a function or a class (if dispatching based on node type is required).
``handler`` will be wrapped in a :py:class:`~peval.Dispatcher` instance;
see :py:class:`~peval.Dispatcher` for the details of the required class struct... | 978e6718d81663914017af89cf41101ca68dd2bb | 3,638,563 |
def html_escape(text):
"""Produce entities within text."""
L=[]
for c in text:
L.append(html_escape_table.get(c,c))
return "".join(L) | de73c127de8b6338c5db5c9ba7d1f5ebbd6d23a9 | 3,638,564 |
def qs_without_parameter(arg1, arg2):
"""
Removes an argument from the get URL.
Use:
{{ request|url_without_parameter:'page' }}
Args:
arg1: request
arg2: parameter to remove
"""
parameters = {}
for key, value in arg1.items():
if parameters.get(key, None) is ... | 649931de5490621c92513877b21cb8cfce8d66ff | 3,638,565 |
def find_power_graph(I, J, w_intersect=10, w_difference=1):
"""takes a graph with edges I,J, and returns a power
graph with routing edges Ir,Jr and power edges Ip,Jp.
Note that this treats the graph as undirected, and will
internally convert edges to be undirected if not already."""
n = int(max(max(... | 9e682eebd9664863d80689f0aa718f30e3ad611a | 3,638,566 |
import string
def getcomments(pyObject):
"""Get lines of comments immediately preceding an object's source code.
Returns None when source can't be found.
"""
try:
lines, lnum = findsource(pyObject)
except (IOError, TypeError):
return None
if ismodule(pyObject):
# Look... | f58421f176b42ecb2e1e883f48deb31025b13559 | 3,638,567 |
import time
import requests
import io
def crack_captcha(headers):
"""
破解验证码,完整的演示流程
:return:
"""
currentTime = str(int(time.time())*1000)
# 向指定的url请求验证码图片
rand_captcha_url = 'http://59.49.77.231:81/getcode.asp?t=' + currentTime
res = requests.get(rand_captcha_url, stream=True,headers=h... | 538843289a64dde1229f7df0a260632fbbd557b6 | 3,638,568 |
from . import sill
from clawpack.pyclaw.util import check_diff
import numpy as np
from clawpack.pyclaw.util import gen_variants
from itertools import chain
def test_2d_sill():
"""test_2d_sill
Tests against expected classic solution of shallow water equations over
a sill."""
def verify_expected(expe... | 5d37c3ad21d842c3f03d1b464609f94ee86e1496 | 3,638,569 |
def draw_box(
canvas,
layout,
box_width=None,
box_alpha=0,
color_map=None,
show_element_id=False,
show_element_type=False,
id_font_size=None,
id_font_path=None,
id_text_color=None,
id_text_background_color=None,
id_text_background_alpha=1,
):
"""Draw the layout region... | 9d8ca19a35e91c6e8670aed05c2e61b2c89958c5 | 3,638,570 |
def login(request):
"""Home view, displays login mechanism"""
return render(request, 'duck/login.html') | 5d4474d4ce7bb8f7327e1a005fe9e485d8784ec7 | 3,638,571 |
def make_user_role_table(table_name='user', id_column_name='id'):
"""
Create the user-role association table so that
it correctly references your own UserMixin subclass.
"""
return db.Table('fp_user_role',
db.Column(
'user_id', db.Integer, ... | 8e7570590686e78d2bf7f91ba3b16f14f4c42620 | 3,638,572 |
import re
def _remove_comments_inline(text):
"""Removes the comments from the string 'text'."""
if 'auto-ignore' in text:
return text
if text.lstrip(' ').lstrip('\t').startswith('%'):
return ''
match = re.search(r'(?<!\\)%', text)
if match:
return text[:match.end()] + '\n'
else:
return tex... | 463e29e1237a88e91c13a58ffea1b2ccdafd4a1d | 3,638,573 |
def wide_to_tall(df: pd.DataFrame) -> pd.DataFrame:
"""Convert a wide table to a tall table
Args:
df (pd.DataFrame): wide table
Returns:
pd.DataFrame: tall table
"""
return df.unstack().dropna().reset_index() | 50ab71d18f5fb1e4dba9207b71030c7f8ffdbcde | 3,638,574 |
def is_pj_player_plus(value):
"""
:param value: The value to be checked
:type value: Any
:return: whether or not the value is a PJ Player+
:rtype: bool
"""
return isinstance(value, list) and len(value) == 4 or len(value) == 3 | 1c4e7a7513d746d25f6b3d7964455b0735c988fc | 3,638,575 |
def pd_fuzz_partial_token_sort_ratio(col1, col2):
""" Calculate "partial token sort" ratio (`fuzz.partial_token_sort_ratio`) between two text columns.
Args:
col1 (Spark Column): 1st text column
col2 (Spark Column): 2nd text column
Returns:
Spark Column (IntegerType): result of `fuz... | d650d37d5936751f961260d98210e2d219200fe6 | 3,638,576 |
def looterCanReinforce(mine: Game) -> bool:
"""
Return True if, in the given game, the looter (the attack) can
reinforce at this moment, regardless of whether its the first or the
second time
"""
return getLooterReinforcementStatus(mine) != 0 | e73fb193cc1c621766900c1f484db90e4e21decb | 3,638,577 |
def _get_normed_sym_np(X_, _eps=DEFAULT_EPS):
"""
Compute the normalized and symmetrized probability matrix from
relative probabilities X_, where X_ is a numpy array
Parameters
----------
X_ : 2-d array_like (N, N)
asymmetric probabilities. For instance, X_(i, j) = P(i|j)
Returns
... | a6f5762a5bf41c83bd017d0661cc069f17bee618 | 3,638,578 |
def load_encoding_model():
"""Model to encode image as vector of length 4096 using 2nd to last layer of
VGG16"""
base_model = VGG16(weights='imagenet', include_top=True)
encoding_model = Model(inputs=base_model.input,
outputs=base_model.get_layer('fc2').output)
return enc... | b15f9d9b6d360a71db0fcb7fc0fa83c031f34047 | 3,638,579 |
import math
def get_geohash_radius_approximation(latitude, longitude, radius, precision, georaptor_flag=False, minlevel=1, maxlevel=12):
"""
Get the list of geohashed that approximate a circle
:param latitude: Float the longitude to get the radius approximation for
:param longitude: Float the latitud... | cf8bbc4a8323b796c4f325f4f3ab9f8e3a169fa8 | 3,638,580 |
def manage_products(request, category_id, template_name="manage/category/products.html"):
"""
"""
category = Category.objects.get(pk=category_id)
inline = products_inline(request, category_id, True)
# amount options
amount_options = []
for value in (10, 25, 50, 100):
amount_options.... | 4ece15c50e00198c422dbb452622dde938f2a9e6 | 3,638,581 |
def random_indices(X, size=None, p=None, sort_indices=True, **kwargs):
""" Get indices for a random subset of the data.
Parameters
----------
size: int
* integer size to sample (required if p=None)
p: float
* threshold percentage to keep (required if size=None)
Returns
-... | 680be93345ab5e3065a43fda5216a4ca8b986121 | 3,638,582 |
def get_facts(F5, uri):
"""
Issue a GET of the URI specified to the F5 appliance and return the result as facts.
If the URI must have a slash as the first character, add it if missing
In Ansible 2.2 found name clashing
http://stackoverflow.com/questions/40281706/cant-read-custom-fa... | 554cc7b9bf35d631c8742614142f5aa2ecaba9b4 | 3,638,583 |
from typing import Optional
from typing import Sequence
def parse_args(args: Optional[Sequence[str]] = None) -> Namespace:
"""
Parses args and validates the consistency of origin/target using the
generator
"""
parser = ArgumentParser(
prog="python -m luh3417.transfer",
description... | 475318fc9999b7b259a073e53b3b24d5ea46911a | 3,638,584 |
def parse_papers_plus_json(data):
""" Function which parses the papers_plus json and returns a pandas dataframe of the results.
Solr Field definition shown below:
<!-- Citing paper fields: papers, metadata, arxiv_metadata -->
<!-- Papers -->
<field name="sentencenum" type="pint" indexed="true" ... | 44c7a27701e265a841e07f49741f03e4b49d4b95 | 3,638,585 |
from pathlib import Path
from typing import Optional
def get_credential(config_file: Path, credential_key: str = 'api_key') -> Optional[str]:
"""
Get a single credential from yaml file. Usual case is 'api_key'
:param config_file:
:param credential_key:
:return:
"""
config = load_credential... | a3e5182c4b2e3fed777f6bd52e144a6d49e4f48f | 3,638,586 |
import functools
def authenticate_secondarily(endpoint):
"""Proper authentication for function views."""
@functools.wraps(endpoint)
def wrapper(request: HttpRequest):
if not request.user.is_authenticated:
try:
auth_result = PersonalAPIKeyAuthentication.authenticate(req... | ac7a5b63c2b556e1bb42986db8110a922485b96d | 3,638,587 |
def gather_emails_GUIDs(mailbox, search, folder):
""" Download GUID of messages passing search requirements
"""
mailbox.folder.set(folder)
return (email for email in mailbox.uids(search)) | d75ecdeaa4f95f9108276f2be236e33934d7de01 | 3,638,588 |
def pyrolite_meltsutil_datafolder(subfolder=None):
"""
Returns the path of the pyrolite-meltsutil data folder.
Parameters
-----------
subfolder : :class:`str`
Subfolder within the pyrolite data folder.
Returns
-------
:class:`pathlib.Path`
"""
return get_module_datafold... | e1ae16fff0b2fcd247c57a40e4713eb0ee13f3e7 | 3,638,589 |
from typing import List
def get_resource_record_set_cloud_formation_dict_list(hosted_zone: ResourceRecordSetList,
with_soa: str,
client: botocore.client.BaseClient, zone_id: str,
... | c7775a45763f733e2dc2392b5073f1bf18b7177c | 3,638,590 |
import aiohttp
async def make_async_request(
url: str, method: str = 'GET', **kwargs) -> dict:
"""
Делает асинхронный запрос по указанному URL с параметрами и возвращает словарь из JSON-ответа
Keyword Args:
headers: Request HTTP Headers
params: URI HTTP request params
data... | a08fef6c9df201a9704791564c1ad75fb3f20d0d | 3,638,591 |
def _prepare_line(edges, nodes):
"""prepare a plotly scatter3d line plot so that a set of disconnected edges
can be drawn as a single line.
`edges` are values associated with each edge (that get mapped to colors
through a colorscale). `nodes` are pairs of (source, target) node indices
for each edge... | be95f58a3938b628c89639d3311799eb359c19d2 | 3,638,592 |
import getpass
def validate_password( password:str ) -> bool:
""" Validates the password again a password policy.
Args:
password ( str, required ):
password to verify.
Returns:
valid ( bool ):
True if the password meets validity requirements.... | eec09ad86d89184c4f87a8c0710e3af28f874429 | 3,638,593 |
from typing import Iterable
from typing import List
from typing import Dict
from typing import Any
def build_webhooks(
handlers_: Iterable[handlers.WebhookHandler],
*,
resources: Iterable[references.Resource],
name_suffix: str,
client_config: reviews.WebhookClientConfig,
... | fc5ca5de1f09c40e08ea8918319b07186af2fe94 | 3,638,594 |
def ndo_real(data, n):
"""mimic of gmx_fio_ndo_real in gromacs"""
return [data.unpack_real() for i in range(n)] | 875edd4c78e591fcee1b3de30f0ed62a4d0b074d | 3,638,595 |
from typing import Union
from typing import Optional
def get_field_type(field: Union[syntax.Field, syntax.Command], idl_file: syntax.IDLParsedSpec,
idl_file_path: str) -> Optional[Union[syntax.Enum, syntax.Struct, syntax.Type]]:
"""Resolve and get field type of a field from the IDL file."""
... | 19445d7a142b940ff3cd0c445e716c070eeac489 | 3,638,596 |
import logging
from datetime import datetime
def query(context: models.Context, query_str: str) -> TimeSeriesCollection:
"""Do a monitoring query in the specified project.
Note that the project can be either the project where the monitored resources
are, or a workspace host project, in which case you will get ... | 7d9f40ad59cb926ab5cec0013a08ea551290fc57 | 3,638,597 |
def get_status():
"""get the node status and return data"""
return data({}) | 0314331d249cebfeb63941961793fe9a72e0c329 | 3,638,598 |
import tokenize
def read_orc(path, columns=None, storage_options=None, **kwargs):
"""Read cudf dataframe from ORC file(s).
Note that this function is mostly borrowed from upstream Dask.
Parameters
----------
path: str or list(str)
Location of file(s), which can be a full URL with protoco... | 2f26a088cd849fc21c171767a0db276844341b11 | 3,638,599 |
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