content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
import functools
from operator import add
def gen_cand_keyword_scores(phrase_words, word_score):
"""
Computes the score for the input phrases.
:param phrase_words: phrases to score
:type phrase_words: list
:param word_score: calculated word scores
:type word_score: list
:return: dict *{ph... | d219256938ab2538214cbc075451f7da5a253b06 | 1,031 |
def analyze_network(directed=False, base_url=DEFAULT_BASE_URL):
"""Calculate various network statistics.
The results are added to the Node and Edge tables and the Results Panel.
The summary statistics in the Results Panel are also returned by the function
as a list of named values.
Args:
d... | 0edd9e848e3b3060055e6845aa5fbb2792c7a1f4 | 1,032 |
def create_user():
"""
Create new user
"""
# request.get_json(): extract the JSON from the request and return it as
# a Python structure.
data = request.get_json() or {}
# Validate mandatory fields
if 'username' not in data or 'email' not in data or \
'password' not in data:
... | a416e0d5bbb6539cee3ce5174ab3cf1186680ee9 | 1,033 |
import hashlib
import base64
def hash_long_to_short(long_url):
"""
turn a long input url into a short url's url-safe 5 character hash
this is deterministic and the same long_url will always have the same hash
"""
encoded = long_url.encode("utf-8")
md5_hash = hashlib.md5(encoded).digest()
r... | 050de3e30feeac46f98b152890d82dd8e416f2d0 | 1,034 |
def has_prefix(sub_s):
"""
Test possibility of sub_s before doing recursion.
:param sub_s: sub_string of input word from its head.
:return: (boolean) whether word stars with sub_s.
"""
for word in DATABASE:
if word.startswith(sub_s):
return True | 2dde507f7b0b3c56f8a5a9a582d52b784607dd5d | 1,036 |
def transform_results(search_result, user, department_filters):
"""
Transform podcast and podcast episode, and userlist and learning path in aggregations
Add 'is_favorite' and 'lists' fields to the '_source' attributes for learning resources.
Args:
search_result (dict): The results from Elastic... | 93bbb9cb3effa4b0f602e42549a961f4fd53faeb | 1,037 |
def kl_div_loss(inputs: Tensor, targets: Tensor) -> Tensor:
"""Computes the Kullback–Leibler divergence loss between two probability distributions."""
return F.kl_div(F.log_softmax(inputs, dim=-1), F.softmax(targets, dim=-1), reduction="none") | 9a45dacfe8fd529893cf7fa813869a97da562f65 | 1,038 |
from typing import List
def get_schema_names(connection: psycopg2.extensions.connection) -> List[psycopg2.extras.RealDictRow]:
"""Function for getting the schema information from the given connection
:param psycopg2.extensions.connection connection: The connection
:return: List of rows using key-value p... | 69a4e0b70ef443c2480f0fbb1e1e859bbf6f69bd | 1,039 |
def parse(string):
"""Returns a list of specs from an input string.
For creating one spec, see Spec() constructor.
"""
return SpecParser().parse(string) | 788849ebaa29b4dab5e4babcb13573acbc8b8525 | 1,040 |
def get_provider_idx(provider_type):
"""Return the index associated to the type.
"""
try:
return PROVIDERS_TYPE[provider_type]['idx']
except KeyError as error:
raise ProviderError(
"Provider type (%s) is not supported yet." % (provider_type, )
) | 47272903415825c870222b3531fddc11129d62c0 | 1,041 |
import collections
def file_based_convert_examples_to_features(
examples, slot_label_list, intent_label_list, max_seq_length, tokenizer, output_file):
"""
将InputExamples转成tf_record，并写入文件
Convert a set of InputExample to a TFRecord file.
:param examples: [(text, CRF_label, class_label), ...]
... | b5d4a9228af4169307a8a22f4c56a0c3eb6e8f27 | 1,042 |
def create_readme(df):
"""Retrieve text from README.md and update it."""
readme = str
categories = pd.unique(df["category"])
categories.sort()
with open('README.md', 'r', encoding='utf-8') as read_me_file:
read_me = read_me_file.read()
splits = read_me.split('<!---->')
# I... | 5e0d207baa3d5c1e1f68b6f2e1a347bffece901a | 1,043 |
async def get_leaderboard_info_by_id(
# ScoreSaber leaderboardId
leaderboardId: float
):
"""
GET /api/leaderboard/by-id/{leaderboardId}/info
"""
# request
request_url = f'{SERVER}/api/leaderboard/by-id/{leaderboardId}/info'
response_dict = await request.get(request_url)
return Leade... | ab081d17b462a0738c578c9caed93c7b4a1ec9a6 | 1,044 |
def distance(lat1,lon1,lat2,lon2):
"""Input 2 points in Lat/Lon degrees.
Calculates the great circle distance between them in radians
"""
rlat1= radians(lat1)
rlon1= radians(lon1)
rlat2= radians(lat2)
rlon2= radians(lon2)
dlat = rlat1 - rlat2
dlon = rlon1 - rlon2
a = pow(si... | 2c6b1692843db3f69c750f4b2acda43d49227e7a | 1,045 |
def minimumSwaps(arr):
"""
O(nlogn)
"""
len_arr = len(arr)
arr_dict = {key+1:value for key, value in enumerate(arr)}
arr_checked = [False]*len_arr
total_count = 0
for key, value in arr_dict.items():
count = 0
while key != value and arr_checked[key-1] is False:
... | d5251297fd52f99aefce69986bd5c8c126b7e6b6 | 1,046 |
def store_user_bot(user_id, intended_user, bot_id):
"""Store an uploaded bot in object storage."""
if user_id != intended_user:
raise api_util.user_mismatch_error(
message="Cannot upload bot for another user.")
if bot_id != 0:
raise util.APIError(
400, message="Sorry... | 2b19e4092df3cb93fdadf5f06176ec4ec9300f63 | 1,047 |
def parse_conv(weights_file, cfg_parser, section, layer_dict):
""" parse conv layer
Args:
weights_file (file object): file object of .weights file
cfg_parser (ConfigParser object): ConfigParser object of .cfg file for net
section (str): name of conv layer
lay... | 6e7cc1d2b4115dc44eaf2ad90240144f7157b30b | 1,049 |
def generate_format_spec(num_vals, sep, dtypes, decimals=None):
"""
Generate a format specifier for generic input.
--------------------------------------------------------------
Input
num_vals : number of wild-cards
sep : separator string (could be '_', '-', '--' ...)
... | 3b65ad3b436b6c578fa2504a2ea4a475700432ce | 1,050 |
from typing import Optional
def products_with_low_stock(threshold: Optional[int] = None):
"""Return queryset with stock lower than given threshold."""
if threshold is None:
threshold = settings.LOW_STOCK_THRESHOLD
stocks = (
Stock.objects.select_related("product_variant")
.values("... | 29bbdd3236b42bf3cef17f84a919ab201946c084 | 1,051 |
def robust_topological_sort(deps):
"""
A topological sorting algorithm which is robust enough to handle cyclic graphs.
First, we bucket nodes into strongly connected components (we use Tarjan's linear algorithm for that).
Then, we topologically sort these buckets grouping sibling buckets into sets.
... | fb2b70f21ccb97880767e73362b46e27804c2d17 | 1,052 |
import inspect
import functools
import warnings
def deprecated(reason):
"""
This is a decorator which can be used to mark functions and classes
as deprecated. It will result in a warning being emitted
when the function is used.
From https://stackoverflow.com/a/40301488
"""
string_types =... | 1b75306b9b712caf3cd6c8425d2344b8ca170fcb | 1,053 |
import torch
def rotate_tensor(l: torch.Tensor, n: int = 1) -> torch.Tensor:
"""Roate tensor by n positions to the right
Args:
l (torch.Tensor): input tensor
n (int, optional): positions to rotate. Defaults to 1.
Returns:
torch.Tensor: rotated tensor
"""
return torch.cat... | 9cdaa7be718f0676ad85e05b01ee918459697c60 | 1,054 |
def generate_all_fish(
n_fish,
n_replica_fish,
channel,
interaction,
k_coh,
k_ar,
alpha,
lim_neighbors,
weights = [1],
neighbor_weights=None,
fish_max_speeds=None,
clock_freqs=None,
verbose=False,
names=None
):
"""Generate both replica and regular fish
Ar... | 3924235d7bdcf25a91dcb1ec40220b761b85f15f | 1,055 |
def allclose(a, b):
""" close to machine precision """
return np.allclose(a, b, rtol=1e-14, atol=1e-14) | ad7ee29d7432947aec0030936985b456a5919eaa | 1,056 |
def check_pwhash(pwhash, password):
"""Check a password against a given hash value. Since
many forums save md5 passwords with no salt and it's
technically impossible to convert this to an sha hash
with a salt we use this to be able to check for
plain passwords::
plain$$default
md5 pass... | 618cdc8a9f7f7d7062e1e0ae26cf81157a8dbba7 | 1,057 |
def make_markov_model(tweets):
"""Wrapper around making Markov Chain"""
return markovify.Text(" ".join(tweets)) | 0bd98d1a2f3a5aae37591389b06d402073f1a7ec | 1,058 |
def slice_image(sitk_image, start=(0, 0, 0), end=(-1, -1, -1)):
""""Returns the `sitk_image` sliced from the `start` index (x,y,z) to the `end` index.
"""
size = sitk_image.GetSize()
assert len(start) == len(end) == len(size)
# replace -1 dim index placeholders with the size of that dimension
e... | eda4477c016d1130bb185a5793409ff95b9cd44c | 1,059 |
def MakeGlyphs(src, reverseNormals):
"""
Glyph the normals on the surface.
You may need to adjust the parameters for maskPts, arrow and glyph for a
nice appearance.
:param: src - the surface to glyph.
:param: reverseNormals - if True the normals on the surface are reversed.
:return: The gl... | 0bb28c943a2c371f5e536851208ac0d4b09cd51a | 1,060 |
def get_tags_categorys(self):
"""02返回添加文档的变量"""
tags = Tag.all()
categorys = Category.all()
return tags, categorys | 557e5182dd3dbf3571e005c4e105a20e2cdd3dd1 | 1,061 |
import pprint
import warnings
def single_mode_constant_rotation(**kwargs):
"""Return WaveformModes object a single nonzero mode, with phase proportional to time
The waveform output by this function will have just one nonzero mode. The behavior of that mode will be fairly
simple; it will be given by exp(... | cc31bf0587ff397cb79c42863efd3d8173cddc72 | 1,063 |
def get_file(file_pattern: list, sub_type: str = None) -> list:
"""Get a subset from file patterns that belong to a sub-type.
If no sub-type is specified, return all file patterns.
Args:
file_pattern (list): The input file patterns
sub_type (str, optional): A string to search in file patter... | 7d39c05fa8a1f7a9370de459472ecf7070aa6569 | 1,064 |
def get_all_report_data(db):
"""
Gets all report data for pre report page
"""
query = r'SELECT * FROM report WHERE relevent=1 ORDER BY id DESC'
return db_get(db, query) | 727c4c9ec2125747237d40d7f0dd019b3d116d00 | 1,066 |
def find_center_projection(mat1, mat2, flip=True, chunk_height=None,
start_row=None, denoise=True, norm=False,
use_overlap=False):
"""
Find the center-of-rotation (COR) using projection images at 0-degree
and 180-degree based on a method in Ref. [1].
... | 21661a6b9ed33a220ede918954ac18a420e638ae | 1,067 |
def parse_date(str):
"""
parsing given str
to date
"""
ymd = str.split('-')
return date(int(ymd[0]), int(ymd[1]), int(ymd[2])) | 29d0f79e2428e315c072c7801d927154c3bfee57 | 1,068 |
def mark_as_widget(view):
"""
Marks @view as a widget so we can later inspect that attribute, for
example, when hiding panels in _vi_enter_normal_mode.
Used prominently by '/', '?' and ':'.
XXX: This doesn't always work as we expect. For example, changing
settings to a panel created insta... | 965555660b82f834e09ba3ffc985755d4fd7fa66 | 1,069 |
def module_name(ctx, f):
"""Given Haskell source file path, turn it into a dot-separated module name.
module_name(
ctx,
"some-workspace/some-package/src/Foo/Bar/Baz.hs",
) => "Foo.Bar.Baz"
Args:
ctx: Rule context.
f: Haskell source file.
Returns:
string: Haskell module name.
"""
r... | 77a38f62211a827ac8fe9af0cc36636b11e561d5 | 1,070 |
def store(key):
"""Gets the configured default store. The default is PickleStore
:return store: Store object
"""
global __stores
if __stores is None:
__stores = {}
if key not in __stores:
__stores[key] = __configuration[STORE](key)
return __stores[key] | 76197d8cedc44e15a75c81f1bcb07d3a4e59e021 | 1,071 |
def get_label_for_line(line, leg):
"""
Can't remember what I was using this for but seems useful to keep
"""
# leg = line.figure.legends[0]
# leg = line.axes.get_legend()
for h, t in zip(leg.legendHandles, leg.texts):
if h.get_label() == line.get_label():
return t.get_tex... | 4180ae7fd7fe5b98ebafa20fbdf2528205e4ec31 | 1,072 |
def _node_parent_listener(target, value, oldvalue, initiator):
"""Listen for Node.parent being modified and update path"""
if value != oldvalue:
if value is not None:
if target._root != (value._root or value):
target._update_root(value._root or value)
target._upda... | 06c06b144c777f33673e2051f1d4173204720f65 | 1,073 |
import torch
import typing
def sequential_to_momentum_net(module: torch.nn.Sequential,
split_dim=1,
coupling_forward: typing.Optional[typing.List[typing.Optional[typing.Callable]]] = None,
coupling_inverse: typing.Optional[ty... | 269d45cf845555988c3284a88a7e3ca83fb697b5 | 1,075 |
def user_view(request, name):
"""Render the view page for users"""
# argument is the login name, not the uuid in Cassandra
user = User.find(name)
if not user:
return redirect("users:home")
ctx = {
"req_user": request.user,
"user_obj": user,
"groups": [Group.find(gna... | f7f5bc01d2b60bcca048e0b2183eefcc5f4eb907 | 1,076 |
def grelha_nr_colunas(g):
"""
grelha_nr_colunas: grelha --> inteiro positivo
grelha_nr_colunas(g) devolve o numero de colunas da grelha g.
"""
return len(g[0]) | 740b06c186ad1455aecadfaf112f253fb434d5ff | 1,077 |
def rmsd(array_a, array_b):
"""
Calculate the RMSD between two 1d arrays
Parameters
----------
array_a, array_b : 1d numpy arrays
The arrays to be compared
Returns
-------
rmsd : float
The Root Mean Square Deviation of the elements of the array
"""
diff = array_... | 7390cebff27d73bc9268cdc23e21c2d362bca2cc | 1,078 |
def readFile(sFile, sMode = 'rb'):
"""
Reads the entire file.
"""
oFile = open(sFile, sMode);
sRet = oFile.read();
oFile.close();
return sRet; | d44e8217ae7dcab1c826ccbbe80e066d76db31b5 | 1,079 |
def VI_cgivens_d( a, b):
"""
returns cos, sin, r
"""
c = vsip_cmplx_d(0.0,0.0)
s = vsip_cmplx_d(0.0,0.0)
r = vsip_cmplx_d(0.0,0.0)
am = vsip_cmag_d(a)
bm = vsip_cmag_d(b)
if am == 0.0:
r.r = b.r; r.i=b.i;
s.r = 1.0;
else:
scale = am + bm;
alpha ... | 7ed08b3c583a805cd9a7b0dfcfb80eb67a054e1e | 1,080 |
import json
def documint_request_factory(request):
"""
Create a function that issues a request to a Documint endpoint.
Status codes outside the 2xx range are treated as errors. If error
responses are JSON then `DocumintError` is raised, otherwise
`MalformedDocumintError` is raised.
If the st... | 9dc4dcba0df1094c394dbe8d9424f874e3ac3169 | 1,081 |
def skip_for_tf2(f):
"""Decorator that skips tests when using TensorFlow 2."""
def test_wrapper(*args, **kwargs):
"""Wraps the decorated function to determine whether to skip."""
# Extract test case instance from args.
self = args[0]
try:
# If tf.contrib doesn't exist, we are in TF 2.0.
... | 02059cc9c8e6b83ab49dcd3b69d447fa3ec26324 | 1,084 |
import yaml
def clean_logfile(logfile_lines,to_remove):
"""Remove yaml fields from a list of lines.
Removes from a set of lines the yaml_fields contained in the to_remove list.
Arguments:
logfile_lines (list): list of the lines of the logfile. Generated from a file by e.g. :py:meth:`~io.IOBase.readlines... | 5e066584488230e777684fcf4e8d25784343afaf | 1,085 |
def no_red_sum(tokens):
"""Using import json is cheating, let's parse it ourselves in a sinlge pass. Hope you like stacks."""
sums = [0]
stack = []
is_red = False
for token in tokens:
if token == 'red' and not is_red and stack[-1] == '{':
is_red = True
sums[-1] = 0
... | 7945618bcc76c03b457cacf4f995e767d5b6160c | 1,086 |
def get_all_projects():
"""
Return a list with all the projects (open and closed).
"""
return gazu.project.all_projects() | 7279d46e9049f3ff9802dcc93b8e41b2e118c9a2 | 1,087 |
def install(opts):
"""
Install one or more resources.
"""
resources = _load(opts.resources, opts.output_dir)
if opts.all:
opts.resource_names = ALL
success = _install(resources, opts.resource_names, opts.mirror_url,
opts.destination, opts.skip_top_level)
if suc... | 9487490eb9ccb13ce7f9797defacf823161a60a9 | 1,088 |
import torch
def seq2seq_att(mems, lengths, state, att_net=None):
"""
:param mems: [B, T, D_mem] This are the memories.
I call memory for this variable because I think attention is just like read something and then
make alignments with your memories.
... | 992fa8329443a2505c6ff0d83e9c34e69be620d4 | 1,089 |
def convert_for_webkit(new_path, filename, reference_support_info, host=Host()):
""" Converts a file's |contents| so it will function correctly in its |new_path| in Webkit.
Returns the list of modified properties and the modified text if the file was modifed, None otherwise."""
contents = host.filesystem.r... | 098774b42f9086b1b61dc231318731ab7eb1a998 | 1,090 |
import re
def clean_repeated_symbols(text):
"""
Filters text, replacing symbols repeated more than twice (not allowed
in most languages) with a single repetition of the symbol.
:param text: the text to be filtered
:type: str
:return: the filtered text
:type: str
"""
pattern = re.co... | bfa758994cfae716caaa715d5a990416a300f9d9 | 1,092 |
def sample(x,y, numSamples):
"""
gives numSamples samples from the distribution funciton fail
parameters
"""
y /= y.sum()
return np.random.choice(x, size=numSamples, replace=True, p=y) | 4cfbb6977bcd5fa43f27de40b15beff487f1c071 | 1,093 |
def make_path_strictly_increase(path):
"""
Given a warping path, remove all rows that do not
strictly increase from the row before
"""
toKeep = np.ones(path.shape[0])
i0 = 0
for i in range(1, path.shape[0]):
if np.abs(path[i0, 0] - path[i, 0]) >= 1 and np.abs(path[i0, 1] - path[i, 1]... | 1a5043bdb469c9dd3f9bf57e1b9752ebd8567182 | 1,094 |
def set_group_selector(*args):
"""set_group_selector(sel_t grp, sel_t sel) -> int"""
return _idaapi.set_group_selector(*args) | 1fbf3807791bf94511f4c7da52278db2815c757e | 1,096 |
def data_context_topology_context_topologyuuid_nodenode_uuid_node_rule_groupnode_rule_group_uuid_latency_characteristictraffic_property_name_get(uuid, node_uuid, node_rule_group_uuid, traffic_property_name): # noqa: E501
"""data_context_topology_context_topologyuuid_nodenode_uuid_node_rule_groupnode_rule_group_uui... | 5f0aff58f5f5e7f72f6622fdb8a400b03f6aae15 | 1,097 |
def getPendingReviewers(db, review):
"""getPendingReviewers(db, review) -> dictionary
Returns a dictionary, like the ones returned by getReviewersAndWatchers(), but
with details about remaining unreviewed changes in the review. Changes not
assigned to a reviewer are handled the same way."""
cursor = db.curso... | 869a6bb752c4e7c1e40a0000b3aceb62adc28ce1 | 1,098 |
import base64
def base64_encode_string(string):
# type: (str or bytes) -> str
"""Base64 encode a string
:param str or bytes string: string to encode
:rtype: str
:return: base64-encoded string
"""
if on_python2():
return base64.b64encode(string)
else:
return str(base64.b... | 0c13ca527171fecdbc5eb93376c6019c0b95e2b7 | 1,099 |
def get_error_signature(error_type, n_top, **kwargs):
"""Generates a signature for the specified settings of pose error
calculation.
:param error_type: Type of error.
:param n_top: Top N pose estimates (with the highest score) to be evaluated
for each object class in each image.
:return: Gene... | 82036a650862a7b3a6b55493458ff3b7dc6cd2ff | 1,100 |
import re
def clean_text_from_multiple_consecutive_whitespaces(text):
"""Cleans the text from multiple consecutive whitespaces, by replacing these with a single whitespace."""
multi_space_regex = re.compile(r"\s+", re.IGNORECASE)
return re.sub(multi_space_regex, ' ', text) | f25b27da070d6a984012a4cb5b1ae4a477713033 | 1,101 |
import re
def run(filename):
"""
MUST HAVE FUNCTION!
Begins the plugin processing
Returns a list of endpoints
"""
run_results = set()
r_rule = re.compile(r"(Route\(\"[^,)]+)", flags=re.IGNORECASE)
for line in filename:
try:
route_match = r_rule.search(line)
... | e5ad233e3c3e07769b2f8f61657fa712b1f151c4 | 1,102 |
import re
from unittest.mock import patch
async def setup_script(hass, notify_q, notify_q2, now, source, config=None):
"""Initialize and load the given pyscript."""
conf_dir = hass.config.path(FOLDER)
file_contents = {f"{conf_dir}/hello.py": source}
Function.hass = None
mock_open = MockOpen()
... | d1d194af7686cbf5bb5e61ebc692d7fd7e9aae71 | 1,103 |
def get_assignment_grade_summaries(course_id):
""" return a list of a course's assignments with a grade summary for each
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.course_assignments """
assignments = api.get_list('courses/{}/analytics/assignments'.format(course_id))
... | 69dddeee4389ee457201c3d1195537f869d0ea57 | 1,104 |
def _list_descriptors():
"""Return a list of all registered XModuleDescriptor classes."""
return sorted(
[
desc for (_, desc) in XModuleDescriptor.load_classes()
] + XBLOCK_CLASSES,
key=str
) | e19b7957b3a65495e1d0fb7c33b4b2748bc1473f | 1,105 |
def e3p0(tof,p1,p2,p3,p4,p5,p6,p7,p8,p9,p10):
"""
Background function for TOF spectra
Parameters
----------
tof : array-like
The time-of-flight spectrum
p1 : float
constant background
p2 : float
multiplier on 1st exponential
p3 : float
multiplier on time-... | 0ad3aad94c4e8b5f48a6ec4458329d0de6eda612 | 1,106 |
def dice_coefficient(pred, gt):
"""
Computes dice coefficients between two masks
:param pred: predicted masks - [0 ,1]
:param gt: ground truth masks - [0 ,1]
:return: dice coefficient
"""
d = (2 * np.sum(pred * gt) + 1) / ((np.sum(pred) + np.sum(gt)) + 1)
return d | d1d97b749ce365c6181a2b17c41d946195339c96 | 1,107 |
def get_keep_score(source_counts, prediction_counts, target_counts):
"""Compute the keep score (Equation 5 in the paper)."""
source_and_prediction_counts = source_counts & prediction_counts
source_and_target_counts = source_counts & target_counts
true_positives = sum((source_and_prediction_counts & sour... | ce2d94f3ffc353a3a9843f5c0b6a846608efe962 | 1,108 |
def dict_comparator(first_dict, second_dict):
"""
Функция проверяет на совпадение множеств пар ключ-значение для двух словарей
Возвращает True в случае совпадения, иначе False
"""
if set(first_dict.keys()) != set(second_dict.keys()):
return False
for key, value in first_dict.item... | 47f28e8810b8437cc0e3bfca6ccba6734c988890 | 1,110 |
def word_check(seq1,seq2,word):
"""Returns False and aborts if seq2 contains a substring of seq1 of length word. Returns True otherwise"""
for i in range(len(seq1)-word+1):
if seq2.find(seq1[i:i+word])>-1: return seq2.find(seq1[i:i+word])
return -1 | 86b4cad571fdbf55073f30f9c5fd9a5e25da46d7 | 1,111 |
def plasma_parameter(N_particles, N_grid, dx):
"""
Estimates the plasma parameter as the number of particles per step.
Parameters
----------
N_particles : int, float
Number of physical particles
N_grid : int
Number of grid cells
dx : float
grid step size
"""
... | 51d3b96ccba2689db461fd6117cb5c2961dc3812 | 1,112 |
import torch
def get_ious_and_iou_loss(inputs,
targets,
weight=None,
loss_type="iou",
reduction="none"):
"""
Compute iou loss of type ['iou', 'giou', 'linear_iou']
Args:
inputs (tensor): pred v... | 302fb70c888caf33cf0077b553cd0d055ff4003a | 1,113 |
def load_chembl():
"""Downloads a small subset of the ChEMBL dataset.
Returns
-------
ic50_train: sparse matrix
sparse train matrix
ic50_test: sparse matrix
sparse test matrix
feat: sparse matrix
sparse row features
"""
# load bioactivity and features
ic5... | f9c5017ab7892f7fbf6c3ee1a1dd9da0e322f66f | 1,114 |
import re
def validate_name_dynamotable(table_name):
"""Validate if table name matches DynamoDB naming standards."""
if not isinstance(table_name, str):
ValueError('Input argument \"name\" must a string')
if table_name.__len__() < 3 or table_name.__len__() > (255 - 5):
# note: deduct 5 ch... | 139391e3ece6cacae24d5bd72fd0fd77b65ecc41 | 1,115 |
def delete_item(item_id):
"""
The method deletes item with the provided id.
:param item_id: id of the item to be deleted
:return: http response
"""
try:
if DATA_CONTROLLER.delete_bucketlist_item(item_id):
return make_response("", 200)
else:
return make_r... | 95e0bb38d30cbda6d617bb5f396dba4cfd4ef328 | 1,116 |
def import_from_text_file(filename, defaultExt, readDataFcn, verbose=False):
"""
Opens a given text file and reads data using the specified function
Parameters
----------
filename : str
the path of a file
defaultExt : str
the default extension of the file
readDataFcn : calla... | 4f5602e09d02446ce9770656e4b42df5dd018ccd | 1,117 |
def is_template_definition(metric_name):
"""Return if the given metric name is a template definition by
convention."""
fields = metric_name.split('/')
return fields[0].lower() == TEMPLATE_DEFINITION_PREFIX | da5fb191cf451b542a656c352d64258be74f7710 | 1,118 |
def _cm_ramp_points_and_voltages(abf):
"""
Return [points, voltages] if the sweep contains a ramp suitable for
capacitance calculation using a matching doward and upward ramp.
points is a list of 3 numbers depicting index values important to this
ramp. The first number is the index at the start of ... | c73b5f5cbc44c0794b332f6010864e9f25fcff0c | 1,119 |
def single_model_embeddings_specify(single_model_embeddings):
"""Returns an instance of MultiTaskLSTMCRF initialized with the default configuration file,
loaded embeddings and single specified model."""
single_model_embeddings.specify()
return single_model_embeddings | fe23c571ca29dbbf87cbccdbfc1e11aaaf784c01 | 1,120 |
import bz2
import gzip
import json
def load_json(filename):
"""
Load a JSON file that may be .bz2 or .gz compressed
"""
if '.bz2' in filename:
with bz2.open(filename, 'rt') as infile:
return json.load(infile)
elif '.gz' in filename:
with gzip.open(filename, 'rt') as inf... | 1b985db386e85c3b8e87911d89a7652133bfee7b | 1,121 |
def get_future_contracts(underlying_symbol, date=None):
"""
获取某期货品种在策略当前日期的可交易合约标的列表
:param security 期货合约品种，如 ‘AG’(白银)
:return 某期货品种在策略当前日期的可交易合约标的列表
"""
assert underlying_symbol, "underlying_symbol is required"
dt = to_date_str(date)
return JQDataClient.instance().get_future_contracts(... | 9945c897c643e410f8a127da5b77525d6e3ba28c | 1,122 |
import urllib3
import requests
def rodeo_query(fc, pallet): # 3.5-4 seconds for 150 elem
"""
Get pd DataFrame with info from rodeo about pallet/tote in TS Out.
:param fc: str
:param pallet: Pallet or Tote are accepted.
:return: df or "No data was found" if status_code... | 926a9f42b5ed82128d4e5fae4adc2c74dab3e567 | 1,123 |
import itertools
def plan_to_joint_configuration(robot, qgoal, pname='BiRRT', max_iters=20,
max_ppiters=40, try_swap=False):
"""
Plan a trajectory to the given `qgoal` configuration.
Parameters
----------
robot: orpy.Robot
The OpenRAVE robot
qgoal: arra... | 78bf727bede2d886ba93825e3a0cd8ccaa99f57e | 1,124 |
def _get_texinfo(data):
"""Return the texture information of a texture data.
Arguments:
* data: the texture data as an array.
Returns:
* texinfo: a dictionary with the information related to the texture data.
"""
assert data.ndim == 3
size = data.shape[:2]
if siz... | 9dfa3b88e65b4c7b7eaa60149f4f24381b36e762 | 1,125 |
def set_featured_notebooks(notebook_ids): # noqa: E501
"""set_featured_notebooks
:param notebook_ids: Array of notebook IDs to be featured.
:type notebook_ids: List[str]
:rtype: None
"""
update_multiple(ApiNotebook, [], "featured", False)
if notebook_ids:
update_multiple(ApiNote... | 7add2e120bf803cf8fa36c0fa56c854654c447fa | 1,126 |
def speed_to_cadences(bicycle, speed, digits=None):
"""
Return cadences in hertz (revolutions per second).
Speed is measured in kilometers per hour.
Assume the following bicycle attributes are non-null and non-empty:
- front_cogs
- rear_cogs
- crank_length
- rear_wheel
Raise a ``V... | 358343831e341f49facd8b2c0af940ee765083aa | 1,127 |
import hashlib
def _gen_version(fields):
"""Looks at BotGroupConfig fields and derives a digest that summarizes them.
This digest is going to be sent to the bot in /handshake, and bot would
include it in its state (and thus send it with each /poll). If server detects
that the bot is using older version of th... | a4bd4420ce548f8a0c40f3120c119f89c158a371 | 1,128 |
def pay_and_save_financing(req: request, request_json, account_id):
"""Set up the financing statement, pay if there is an account id, and save the data."""
# Charge a fee.
token: dict = g.jwt_oidc_token_info
statement = FinancingStatement.create_from_json(request_json, account_id, token.get('username', ... | 0de221d2e6acb090e2e2a135b1280f2daa73b63c | 1,130 |
def resolve_cmds_path(cmds, singlesrv_mode):
"""Resolve the cmds path if in single server mode.
Args:
cmds: A list of sender/receiver commands.
singlesrv_mode: A bool on whether running in single server mode.
Returns:
The commands that path has been resolved if needed
(in s... | 6d7e673a48c657a446785716fc09f47d4f87d81d | 1,131 |
import base64
def _encode_base64(data: str) -> str:
"""Base 64 encodes a string."""
ebytes = base64.b64encode(data.encode("utf-8"))
estring = str(ebytes, "utf-8")
return estring | 5304972fec4cc54d9fa652cbd977b7c069d228d5 | 1,132 |
from typing import Mapping
from typing import Any
def workflow_spec(
dag: DAG,
workflow: Workflow,
) -> Mapping[str, Any]:
"""
Return a minimal representation of a WorkflowSpec for the supplied DAG and metadata.
Spec: https://github.com/argoproj/argo-workflows/blob/v3.0.4/docs/fields.md#workflows... | d13b7242f3158ea7528141ca65a17df01968c14e | 1,133 |
def redirect(request):
"""
Handling what happens when the groupcode is submitted by user and handles input from user's when they are answering
questions.
:param request:
:return: The methods returns the student view page which is the actual game to the user if they entered a correct
groupcode, i... | 5f906dae9bde9533b5b09bd5540b8458a766e583 | 1,134 |
import torch
def build_test_fn(policy, optim, log_dir, model_name, train_collector, save_train_buffer, obs_shape, stack_num, env_id,
num_episodes):
""" Build custom test function for maze world environment """
def custom_test_fn(epoch, env_step):
# Save agent
print(f"Epoch =... | 6fefef23e1a502ce30f556ea9350d933e7303dfd | 1,135 |
def check_score(encoding, min_qual, qual_str):
"""Return True if the average quality score is at least min_qual
"""
qscores = [encoding[q] for q in qual_str]
return sum(qscores) >= min_qual * len(qscores) | 427dd8617d5ab425e3b7989923a271599fc7371a | 1,136 |
import functools
import warnings
def add_unsafe_warning(func, fig):
"""
Generate warning if not supported by Paxplot
"""
@functools.wraps(func)
def wrapper(*args, **kwargs):
if fig._show_unsafe_warning:
warnings.warn(
f'The function you have called ({func.__name... | 8bca3fbc514315cd4c761b2e8f7f1168e01af7a9 | 1,137 |
from typing import List
from typing import Optional
def update_dask_partitions_shuffle(
ddf: dd.DataFrame,
table: str,
secondary_indices: List[str],
metadata_version: int,
partition_on: List[str],
store_factory: StoreFactoryType,
df_serializer: DataFrameSerializer,
dataset_uuid: str,
... | d7f050247d89997ec76d00cb6e2e7ed25a7b24fb | 1,138 |
def edit_paycheck(paycheck_id):
""" Edit a paycheck """
paycheck = Paycheck.query.get(paycheck_id)
form = PaycheckForm(obj=paycheck)
return render_template('pay/edit_paycheck.jinja', form=form, paycheck_id=paycheck_id) | 9e8a22af102bc818c35c32d49b5a26c348b0f221 | 1,139 |
def is_meeting_approved(meeting):
"""Returns True if the meeting is approved"""
if meeting.session_set.first().status.slug == 'apprw':
return False
else:
return True | 0dca106890d195f613477334d2bb6187c1587e15 | 1,140 |
import requests
def check_radarr():
"""
Connects to an instance of Radarr and returns a tuple containing the instances status.
Returns:
(str) an instance of the Status enum value representing the status of the service
(str) a short descriptive string representing the status of the service... | f078ba526e0fb23dad323db92e9f6ac861da4bf0 | 1,142 |
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