content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Sequence
from typing import List
def transposition_order_rep(
ttset: Sequence,
n: int
) -> List:
""" Applies the transposition operation on a tone row with its order numbers
"""
result = [0] * len(ttset)
for i, pair in enumerate(ttset):
new_pc = (pair[1] + n) % 12
... | 1d9bf53166d3119b465c9dab4c7558892f720b79 | 67,478 |
def parse_lines(lines: str):
"""
Parse multiple Write objects separeted by new-line character.
"""
writes = map(LineParser.parse, lines.split("\n"))
return list(writes) | a6533fb6972f66692e730d10d2253b59cad77d8a | 67,480 |
def get_factory_log_recipients(entry):
"""Read the log recipients specified by the Factory in its configuration
Args:
entry: dict-like object representing the entry configuration
Returns:
list: list contaning the URLs of the log servers, empty if none present
"""
entr_attrs = entry... | f3e776ea9b8102247b5c7e817762523467d9f953 | 67,481 |
def translate_name(name: str) -> str:
"""Not complete func"""
return name.replace(' ', '+').replace(',', '%2C').replace('’', "'") | 4faf41ffbd2231b35bc235c1c76ea9403b7cd78c | 67,482 |
import csv
def get_conditions_bids(infile):
"""
read onsets, duration and amplitude from 3 column format file.
(e.g. events.tsv in BIDS format)
"""
spec = []
if infile.endswith('.tsv'):
# read tsv file
with open(infile) as f:
reader = csv.reader(f, delimiter='\t'... | 3bd0546115fa635abbcc7829911fdb476ad1c33e | 67,483 |
import torch
def compute_colors_for_labels(labels, palette=None):
"""
Simple function that adds fixed colors depending on the class
"""
if palette is None:
palette = torch.tensor([2 ** 25 - 1, 2 ** 15 - 1, 2 ** 21 - 1])
colors = labels[:, None] * palette
colors = (color... | aaab8121146d43c44db7a2450c384213b1b92b7f | 67,484 |
from datetime import datetime
def get_query_params(node='SLAP_PGEB-APND',
market='RT5',
startdate=datetime(2019, 1, 1),
enddate=datetime(2019, 1, 15),
tz_in='US/Pacific',
tz_out='US/Pacific'):
"""Create a dict... | 13169e3956fd30e08bc064228a8bfdbf9db36bda | 67,486 |
def preprocess(raw):
"""
Basic text formatting e.g. BOM at start of file
"""
## 1. Remove byte order marks if necessary
if raw[0]=='\ufeff':
raw = raw[1:]
# if raw[0] == '\xef':
# raw = raw[1:]
# if raw[0] == '\xbb':
# raw = raw[1:]
# if ... | dfeb75152196ff2ab751ee206aab03eed1f28502 | 67,487 |
def get_assignment_student_grades(course_id, student_id):
""" return a list of a student's assignments with grades
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.student_in_course_assignments """
return api.get_list('courses/{}/analytics/users/{}/assignments'.format(course_id... | 488fda23b4978ee820ab60638a6df6fe3fc86f65 | 67,488 |
from typing import Optional
from typing import Dict
def get_strain_strat(voc_params: Optional[Dict[str, VocComponent]]):
"""
Stratify the model by strain, with two strata, being wild or "ancestral" virus type and the single variant of
concern ("VoC").
Args:
voc_params: All the VoC parameters ... | eb9f2c21c506eebccc9b74d59ac3391e8427ef68 | 67,489 |
import tarfile
import json
from datetime import datetime
import re
import uuid
def oc_parser(instance, parameters, context, feedback, inputs):
"""
Dieses Python-Script liest aus Daten einem tar-komprimierten Abbild OpenCaching Datenbank Standorte und Attribute von Geocaches sowie Schutzgebieten ein und schrei... | 6309b16fc9f8043dcfd20bcadbaab84a36e24599 | 67,490 |
def business(category):
"""
view root page function that returns the categories page and its data
"""
news_categories_articles = get_category(category)
return render_template('business.html', business = news_categories_articles) | 0a9ee4416545bc95dc4a568d469543ebee15c9a1 | 67,491 |
import time
import zlib
def query_cash_flow_data(code, year=None, quarter=None):
"""季频现金流量
@param code: 证券代码，不可为空
@param year: 统计年份，为空时默认当前年
@param quarter: 统计季度，为空时默认当前季度
"""
data = rs.ResultData()
if code is None or code == "":
print("股票代码不能为空，请检查。")
data.error_msg = "股票代... | a5dfe8f78abef656562c8eb5824d31fde62a38e5 | 67,492 |
def calc_num_pixels(num_pixels, stride):
"""
Converts the current number of pixels to the number there will be given
a specific stride.
"""
return 1 + (num_pixels - 1) // stride | b6ae056339913c496017251709381c19f551a074 | 67,493 |
import re
def wrap_onspace_strict(text, width):
"""Similar to wrap_onspace, but enforces the width constraint:
words longer than width are split."""
wordRegex = re.compile(r'\S{'+str(width)+r',}')
return wrap_onspace(wordRegex.sub(lambda m: wrap_always(m.group(),width),text),width) | 0a52193b5dc2b827a875641b5cb233b330ef9bfe | 67,494 |
def _eigen_projection(x, b):
"""
Project the vector `x` onto the eigenvector `b`. Here `b` is a column of the matrix B which is an orthonormal
basis from the eigendecomposition::
BDB = C
Parameters
----------
x : array_like, shape (n,)
Vector.
b : array_like, shape (n,)
... | d6ce8183bfa25d474c868786959ed663cd83fbd2 | 67,495 |
def disk_simple(radius, precision=0.0001):
"""
A centered disk of specified radius.
Parameters
----------
radius : float
Radius of desired disk, presumed to be in coordinate units.
precision : float, must be << 1
Desired upper bound for error in fractional partial volumes.
... | 183e4884c5781d5ba32332f6f740592e9b9e8b86 | 67,496 |
def tokenize(language):
"""Function to tokenize language by mapping words to integer indices"""
# Perform tokenization
language_tokenizer = Tokenizer(filters='')
language_tokenizer.fit_on_texts(language)
tensor = language_tokenizer.texts_to_sequences(language)
# Pad sequences to maximum found se... | 88466883179065a77f1355a5c7d13989f8fd2e57 | 67,498 |
import re
def _fix_broken_markup(html):
"""Replaces invalid comment tags"""
if html.startswith("<CENTER>"):
logger.error("TolkienFanFiction.com couldn't handle this request: '%s'" % html)
html = re.sub("<!-.+?->", "", html)
return html | 4a4b5749ea7737965fd135e0b190cdb8e1ee3d37 | 67,499 |
from typing import Tuple
from typing import Optional
def _make_generic_sql_bound(
bound: str,
column_names: Tuple[str, str],
values: Tuple[Optional[int], int],
engine: BaseDatabaseEngine,
) -> str:
"""Create an SQL expression that bounds the given column names by the
values, e.g. create the eq... | 5575c25b78d4176f9be14b4410eee29ccb29347f | 67,500 |
import bisect
def add_domain_parallel(updated_mask, lb, ub, lb_all, up_all, domains, selected_domains, slope, growth_rate=0,
branching_decision=None, save_tree=False, decision_thresh=0):
"""
Use binary search to add the new domain `candidate`
to the candidate list `domains` so that... | 80b1a2a53694fff56584854e28ad0db82fadbc91 | 67,501 |
import xloil_core
def get_event_loop():
"""
Returns the background asyncio event loop used to load the current add-in.
Unless specified in the settings, all add-ins are loaded in the same thread
and event loop.
"""
addin = source_addin()
return xloil_core.get_event_loop(addi... | 4ee0c6c5b495dcb0d0c8fbca43cb28a747a1056d | 67,502 |
import socket
import re
def write_handler(host, port, element, handler, value):
"""Write to a click handler."""
sock = socket.socket()
sock.connect((host, port))
f_hand = sock.makefile()
line = f_hand.readline()
if line != "Click::ControlSocket/1.3\n":
raise ValueError("Unexpected r... | ace3954a1893b6f3637332ad799be00c5d36e3c5 | 67,503 |
def register(request):
"""Faz o cadastro de um novo usuário"""
if request.method != 'POST':
# Exibe o formulário de cadastro em branco
form = UserCreationForm()
else:
# Processa o formulário preenchido
form = UserCreationForm(data=request.POST)
if form.is_val... | 136f3b2413745b5d1be3d333e538c82cc7a09e9e | 67,504 |
import copy
def set_quantization_configuration_to_graph(graph: Graph,
quant_config: QuantizationConfig,
fw_info: FrameworkInfo) -> Graph:
"""
Add quantization configuration for each graph node.
Args:
graph: Gr... | fbcdbf47cdd119a26a0a04b1b4032f8fec7eb961 | 67,505 |
def snowballstem(context_word_list):
"""Use nltk and Snowball stemmer to stem."""
#print("Stemming using Snowball Stemmer")
#texts_gen = back_to_string(texts)
# KEEP ONLY NOUNS, ADJ, VERB, ADV
return [snowball.stem(word) for word in context_word_list] | 6745704fb7412009b519bebdc30fa3da40a8c325 | 67,507 |
from typing import Union
from typing import Tuple
def _make_version(version: Union[str,int,Tuple[int]]) -> Tuple[int]:
"""Build a tuple-of-integer version from a string or a unique integer.
:param version: the version to convert, if needed
:return: the tuple-based version
"""
try:
i... | 2c8b05f9ae77657aae84f400c927fb8b2924c78c | 67,509 |
import logging
def file_getchild( gateway, volume, parent_id, name ):
"""
Get all metadata for a file, given the its parent ID and name.
"""
logging.info("getchild /%s/%s/%s" % (volume.volume_id, parent_id, name) )
owner_id = msconfig.GATEWAY_ID_ANON
if gateway != None:
owner_id = gate... | a906aad0bc9db097b5fc6e5e19e9c166b621b87d | 67,510 |
def __convert_timecode(timecode):
"""
Takes a timecode value that's either a string or a number and returns it
back in a number format.
"""
if isinstance(timecode, str):
try:
t = timecode.split(":")
if len(t) == 2: t.insert(0, "0")
return (int(t[0]) * 60 ... | 500e137836db417ff6512c5ff7076abf89b01a28 | 67,511 |
def rig_reg_drift(dset, rel_drift):
""" Shifting images on top of each other
Uses relative drift to shift images on top of each other,
with center image as reference.
Shifting is done with shift routine of ndimage from scipy.
This function is used by rigid_registration routine
Parameters
-... | 29601ef4facf9068d47de29eeb431c965677d404 | 67,512 |
def readme():
"""Returns the contents of the README without the header image."""
header = '======\nGimbal\n======\n'
with open('README.rst', 'r') as f:
f.readline()
return header + f.read() | 892100a63287917a35850258c677ee53ee2883a0 | 67,513 |
def init_lstm(params, prefix='lstm', nin=None, dim=None, init='glorot',
learn_init=True):
"""
Initialize the LSTM parameters.
"""
assert nin > 0, 'nin should be provided'
assert dim > 0, 'dim should be provided'
logger.info('nin: {} dim: {}'.format(nin, dim))
initializer = u... | 9de497d936c8e01da2890743dbf07895ce792875 | 67,514 |
def ApplicationError(e):
"""Return a custom 500 error."""
return 'Sorry, unexpected error: {}'.format(e), 499 | 96d877b89948a58997a11f5f77b4247fe3c6eeac | 67,515 |
def make_sm_update_status_job(
b: Batch, analysis_type: str, status: str, sm_db_name: str, analysis_id: str
) -> Job:
"""
Creates a job that updates the sample metadata server entry analysis status.
"""
assert status in ['in-progress', 'failed', 'completed', 'queued']
j = b.new_job(f'SM: update ... | 59df34ee6db8d91c81318924819cda405bd20303 | 67,516 |
from typing import Callable
from typing import Mapping
def assembly_sub_strategy_factory_for_book_then_lang(
usfm_resources: list[USFMResource],
tn_resources: list[TNResource],
tq_resources: list[TQResource],
tw_resources: list[TWResource],
ta_resources: list[TAResource],
assembly_substrategy_... | 6e74db1ece469523f4a86b5b8e0f501003bc23ad | 67,517 |
from typing import Counter
import random
def stratified_group_k_fold(X, y, groups, k, seed=None) -> (list, list):
"""StratifiedKFoldで分割する関数
Args:
X (pd.DataFrame): trainデータ
y (pd.DataFrame): 目的変数のDF
groups (pd.DataFrame): groupに指定するカラムのDF
k (int): k数
seed (int): seet. ... | cfa4766d047eec36e835ac83b0bb764f7af9a2eb | 67,518 |
def load_images(image_files: list, input_width: int, input_height: int, data_type=np.uint8,
scale: float = 1., mean: list = [0., 0., 0.], stddev: list = [1., 1., 1.],
preprocess_fn=preprocess_default):
"""Loads images, resizes and performs any additional preprocessing to run inferenc... | b4ab3d4dd059f34d5177df6f1743dcc3f6c6ac9e | 67,519 |
def browser(wsgi_app, verwalter):
"""Get a zope.testbrowser for the WSGI-APP."""
return sw.allotmentclub.browser.testing.Browser(wsgi_app=wsgi_app) | 5247993c5587fa4acf7cc6c8c752c4e8eee22bc1 | 67,520 |
def get_one_csv(df):
"""Prepare DataFrame.
__Attributes__
df: DataFrame with parsed data.
__Returns__
df: DataFrame sorted by date abd without duplicates.
"""
# 3:19 PM 13/12/2018
# Change datetime format to what we want (example above)
df['date'] = df['date'].str.strip().... | 0c6ba26f017b47589cf85164bda70ff17dce5ae9 | 67,521 |
def get(expr, key, default=None):
"""
Return the mapped value for this key, or the default
if the key does not exist
Parameters
----------
key : any
default : any
"""
return ops.MapValueOrDefaultForKey(expr, key, default).to_expr() | 1b2e3a8e0d47e5d9512651b840e06c1baba0028c | 67,522 |
from typing import List
import re
def articles_from_file(file_path: str) -> List[WikitextArticle]:
"""Read wikitext articles from file.
Args:
file_path: path to the input `.tokens` file.
Returns:
A list of `WikitextArticle` tuples.
"""
with open(file_path, mode='rb') as f:
content = f.read()
... | 1c8c93e4f781ceeaf27f3fb9362b37ca1f2b1168 | 67,523 |
def get_mt(
mt_path: str,
split: bool = False,
hard_filtered_samples_to_remove_ht: hl.Table = None,
meta_ht: hl.Table = None,
add_meta: bool = False,
release_only: bool = False,
passing_sites_only: bool = False,
unrelated_only: bool = False,
) -> hl.MatrixTable:
"""
Wrapper funct... | ca34e4c1e0a5a5b19270f8015ae1a07b138ab205 | 67,524 |
import itertools
def gen_graphs(n_graphs, n_nodes, p_intra=0.7, p_inter=0.01):
"""
Generate community graphs.
"""
A = np.zeros((n_graphs, n_nodes, n_nodes))
for idx in range(n_graphs):
comms = [nx.gnp_random_graph(n_nodes // 2, p_intra),
nx.gnp_random_graph((n_nodes + 1) /... | 218793c6a29b675807b7180e6507d40fce5fe6de | 67,525 |
def wallis_product(n_terms):
"""Implement the Wallis product to compute an approximation of pi.
See:
https://en.wikipedia.org/wiki/Wallis_product
XXX : write Parameters and Returns sections as above.
"""
# XXX : The n_terms is an int that corresponds to the number of
# terms in the produc... | 1e0ba6bbb9ec5fd9de1d4ee84448402801fdb514 | 67,526 |
def num_executors(sc):
"""
Get the number of executors configured for Jupyter
:param sc: The SparkContext to take the executors from.
:type sc: [SparkContext
:return: Number of configured executors for Jupyter
:rtype: int
"""
return EnvSing.get_instance().get_executors(sc) | 2a18204f17f31fb8ed07d1cacf3ef30d6930b890 | 67,527 |
import struct
def read_zygo_metadata(file_contents):
"""Parse metadata from the contents of a binary Zygo file.
Parameters
----------
file_contents : `bytes`
binary file contents
Returns
-------
`dict`
dictionary with a shitload of keys for all of Zygo's metadata.
""... | 23f20e8ffa3c248cde535b2b2fc2d5a4a2fd2884 | 67,528 |
def bbox_iou2(box1, box2):
"""
Returns the IoU of two bounding boxes
"""
b1_x1, b1_x2 = box1[0], box1[2]
b1_y1, b1_y2 = box1[1], box1[3]
b2_x1, b2_x2 = box2[0] - box2[2] / 2, box2[0] + box2[2] / 2
b2_y1, b2_y2 = box2[1] - box2[3] / 2, box2[1] + box2[3] / 2
# get the corrdinates of the i... | e466a3277c0f0ddd55651c4352d026bb106367fc | 67,529 |
def parse_validator(validator):
""" parse validator
Args:
validator (dict): validator maybe in two formats:
format1: this is kept for compatiblity with the previous versions.
{"check": "status_code", "comparator": "eq", "expect": 201}
{"check": "$resp_body_s... | f97cb8e0d538f6d0a9308541b42d2334733bf6b2 | 67,531 |
import uuid
def AjaxSubForm(form_cls, slug, **kwargs):
"""
Helper method for modifying one form to act as a sub-form to a parent-form.
"""
_id = str(uuid.uuid4()).replace('-', '')
new_cls = type(str('_%s_%s' % (form_cls.__name__, _id)), (
form_cls,), {'extra': kwargs.get('extra', 0)})
... | 095ba1886958c3a13ff35eed7cf39b23f157f0ec | 67,532 |
def BTAZI2BQBU(Bt,azi):
"""Transformation from transverse field and azimuth to BQ and BU
according to https://arxiv.org/abs/1904.03714
Parameters
----------
Bt, azi : float
Values to be transformed
"""
By = Bt*np.sin(azi)
Bx = Bt*np.cos(azi)
BQ = np.sign(Bx**2.-By**2.)*np.sq... | eb29d33a55170950bfc6618a55ef38e2cf7e07e6 | 67,533 |
def random_phase_vector(s, n, rand_state=None):
"""
Generates a uniformly random phase vector for a n-qubit Clifford.
(This vector, together with the provided symplectic matrix, define a valid
Clifford operation.) In combination with a uniformly random `s` the returned `p`
defines a uniformly rand... | 2565696b4ec5b7a07030fee17eaaa194938bb1ed | 67,534 |
def rewrite_arcs (label_map, nfa):
"""Rewrite the label arcs in a NFA according to the input remapping."""
states = [[(label_map[label], tostate) for (label, tostate) in arcs]
for arcs in nfa[2]]
return (nfa[0], nfa[1], states, nfa[3], nfa[4]) | 2bd9911a5c65ce7711848746614a3a6ceb37f8d2 | 67,535 |
def create_fig(image, canvas_list, obj_enc_list, obj_dec_list, z_pres_list, z_prob_list, z_where_list):
"""
All types should be numpy or python numbers.
"""
fig = plt.figure()
for i in range(3):
ax = fig.add_subplot(4, 3, i + 1)
ax.set_title('pres: {:.0f}, p: {:.2f}'.format(z_pres_li... | eb7c805d302e9ee90766e2f2fe59356cb8f16c7e | 67,536 |
from typing import List
from typing import Tuple
def _details_family_code() -> List[Tuple]:
"""Details for logging FamilyCode."""
return [
("AccountID", dht.string, lambda fc: fc.accountID),
("FamilyCode", dht.string, lambda fc: fc.familyCodeStr),
] | bcae9a044bb44b1390ee066225d04db2882d4537 | 67,537 |
import copy
def merge_params(base_params, partial_params=None):
"""Merge a partial change to the base configuration.
Parameters
----------
base_params
The base parameters
partial_params
The partial parameters
Returns
-------
final_params
The final parameters
... | 4c52d492358106b7c5e6df0c1e099d45043a7935 | 67,538 |
def date_message(date_str: str) -> str:
"""Return a message about the date."""
# Get location
location = get_location(date_str)
# Get the current date
date = get_time_by_lat_long(location)
return f"The date in {location} is {date.strftime('%a %d %b')}." | b9f71253fddad95a2ce877358d7f7ec4e0ff7585 | 67,539 |
def modified_cartesian(*args, **kwargs):
"""Modified Cartesian product.
This takes two (or more) lists and returns their Cartesian product.
If one of two list is empty this function returns the non-empty one.
Parameters
-----------
*args : lists, length : two or more
The group of input... | fa0f6830dcffb79c6e2a895458495458b6d62e07 | 67,540 |
def get_person(person_id):
"""Get information about a person."""
try:
with Session(DB.engine) as session:
person = session.query(Person).where(Person.id == person_id).one()
return {"person_id": person.id, "name": person.name, "email": person.email}
except NoResultFound:
... | e667f8b54d608847e7cbee553b1e5bc3e4dcda4c | 67,541 |
def execute_query(query, db):
"""
Executes a query
Arguments:
query - the query to execute
db - the database to execute the query on ("users" or "products")
"""
# Create tables if they don't exist
create_products_table()
create_user_table()
# Connect to tables
users_d... | b0a944e9030177132598785e810af121c8bbbb25 | 67,542 |
def parse_variant(
store,
institute_obj,
case_obj,
variant_obj,
update=False,
genome_build="37",
get_compounds=True,
case_dismissed_vars=[],
):
"""Parse information about variants.
- Adds information about compounds
- Updates the information about compounds if necessary and '... | 5af1283ba64ddd6325e15a18d74de777b4669400 | 67,543 |
def create_dicts_same_nodes(my_set, neighbors_dict, node, dict_out, dict_in):
"""
A function to create useful dictionaries to represent connections between nodes that have the same type, i.e between
nodes that are in the embedding and between nodes that aren't in the embedding. It depends on the input.
... | c4ef94964f2944dcbddd79f76182a4bcc64633e7 | 67,544 |
import json
def get_china_province(ChinaTotal, ChinaProvince):
"""
获取最新国内各省数据
:return:
"""
return json.dumps(inner_get_china_province(ChinaTotal, ChinaProvince), ensure_ascii=False) | a13c22808bedcccbf4d8faba7229fb7b303bd878 | 67,545 |
import torch
import logging
import pickle
def evaluate(model, loss_fn, data_iterator, metrics, params, num_steps, sample_weights=None):
"""Evaluate the model on `num_steps` batches.
Args:
model: (torch.nn.Module) the neural network superclass
loss_fn: a function that takes batch_output and bat... | 3e3cf80f1b26c42da5cbfc802c54d9587dfacc7d | 67,546 |
def plaquette_spanning_tree(lattice: Lattice, shortest_edges_only = True):
"""Given a lattice this returns a list of edges that form a spanning tree over all the plaquettes (aka a spanning tree of the dual lattice!)
The optional argument shortest_edge_only automatically sorts the edges to ensure that only the s... | 9a83a8743244331e62a3447a3b370a70b8decc14 | 67,547 |
def check_params():
"""
Check all the CLI inputs. Must give INSTALLER_TYPE, INSTALLER_IP, user
and filepath of the output file.
Need to give key or password.
"""
if not args.INSTALLER_TYPE or not args.INSTALLER_IP or not args.user:
print("INSTALLER_TYPE, INSTALLER_IP and user are all nee... | abced80ef2cc12b0615bd612051a2c728014cab9 | 67,548 |
def flatten(list_of_lists):
"""Single level flattening of a list."""
return sum((list(sublist) for sublist in list_of_lists), []) | d7a2b9b75a1bd920f50d78cc725f8e551d6bb2f5 | 67,549 |
def get_num_channels(x):
"""
:param x: an input tensor with shape [batch_size, ..., num_channels]
:return: the number of channels of x
"""
return int(x.get_shape()[-1]) | 6016098ae8cea31ddf902f6c6e8c4b45d2d114ae | 67,550 |
def get_movements(
key: dict,
tracking: pd.DataFrame,
moving_threshold: float,
turning_threshold: float,
paw_speed_th=10,
) -> dict:
"""
Creates array indicating when the mouse is doing different kinds of movements
"""
paws = tracking.loc[
tracking.bpname.isin(["left_fl"... | c8c65c46fecdce61341b701d12e52dce24fe1b6a | 67,551 |
from typing import Type
from typing import Optional
def _get_inner_meta_class(struct_class: Type[Struct]) -> Optional[Type]:
"""Retrieve the `Meta` inner class of a Struct class, or None if none is provided."""
if not hasattr(struct_class, _META_INNER_CLASS_NAME): # pytype: disable=wrong-arg-types
re... | f3933fca07fb1dbb82546539892160392e672045 | 67,552 |
def maximum() -> int:
"""Returns 9."""
return 9 | dfd9a240bdaf985f89ca1b90c2b6e01f5426b2b0 | 67,554 |
def input4FwdBkw(states: tuple, observation_labels: np.array, ts_array: np.array, pai: np.array,
transDist: np.array, emisDist: np.array, f: object) -> (dict, dict, dict):
"""
:param states:
:param observation_labels:
:param ts_array:
:param pai:
:param transDist:
:param em... | 39274416fdd84b1e43a9489c7a1d56b9190dc084 | 67,555 |
import types
def on(signals, callback=None, max_calls=None):
"""
Registers a single callback for receiving an event (or event list). Optionally,
can specify a maximum number of times the callback should receive a signal. This
method works as both a function and a decorator::
smokesignal.on('f... | 759ab43bed7bd865dc3cfe439575b03894aac30d | 67,556 |
def _only_target_vars(ds: xr.Dataset, data_vars: t.Optional[t.List[str]] = None) -> xr.Dataset:
"""If the user specifies target fields in the dataset, create a schema only from those fields."""
# If there are no restrictions on data vars, include the whole dataset.
if not data_vars:
logger.info(f't... | a4602be2d8957e2f1b1b94aac0ce3da0aa9eb6e0 | 67,557 |
def load_model_from_path(model_type, path):
"""
Loads a spark ml model from a path
:param str | AlgorithmEnum | ScalerEnum model_type: the string
representation of the model import, e.g.
`pyspark.ml.feature.StandardScaler`
:param str path:
:return:
"""
return class_from_str(model_typ... | b711751d332591b46b8f82fc24768c1a236f278e | 67,558 |
import tqdm
import itertools
def estimate_parameters(x,processes,total_reads,max_chunk_size):
"""Estimate parameters?
This copied over from the old old old PyFitSeq - dunno if still relevant
but it's missing in this version !!!
A SUB-FUNCTION CALLED BY MAIN FUNCTION main() TO CALCULATE THE LOG
... | 731fd8496f1993635f7c4b6399b861706651dfe6 | 67,559 |
def MagScatFac(El, SQ):
"""compute value of form factor
:param El: element dictionary defined in GetFormFactorCoeff
:param SQ: (sin-theta/lambda)**2
:param gfac: Lande g factor (normally = 2.0)
:return: real part of form factor
"""
mfa = np.array(El['mfa'])
mfb = np.array(El['mfb'])
... | 5469cd78b479d4b4be1225c5303231a069c8d980 | 67,560 |
def reduce(data, filename):
"""
Reduce the data given by the data string and the filename.
"""
#first decide what file type this is.
ext = filename.split(".")[1]
if ext == 'hfbs':
ret = hfbs_reduce(data,filename)
elif ext =='hscn':
ret = hscn_reduce(data,filename)
else:
... | 5a3a5b429c0d0cae094951cbe3c1c453e0e01454 | 67,561 |
def config():
""" Configuration file for edith usage """
config = {
"edith": { # don't change
"version": 1.0 # don't change
},
"config": { # change this
"host": "Raspberry Pi Zero WH", # change host to machine running program
"online serv... | 3c4adf4407311428be2c97fdc61dd636de63d760 | 67,563 |
def vectorize(hash_function, feature_dict=None, size=1024):
"""Helper function to vectorize a spatial description from a hash.
Hash functions are used to perform spatial featurizations in
DeepChem. However, it's necessary to convert backwards from
the hash function to feature vectors. This function aids in
t... | 3ecbb776ceb162841c83de3d96288fce6c9f551a | 67,564 |
def get_uniform_random_number(low, high):
"""
:param low: 均匀分布的下界
:param high: 均匀分布的上界
:return: 从均匀分布中产生的随机数
"""
# 均匀分布的随机数生成
number = np.random.uniform(low, high)
# 返回值
return number | 206704a81a35d71ecadc9a1e7db1ddcc38c8c981 | 67,565 |
def bootstrapOneSampTest(data,nv=0,nullTranslation=None,statFunc=None,nPerms=10000):
"""Uses a bootstrap to calculate a p-value for a
one sample test of H0: mean(data) != nv
Uses a t-statistic as is used in Efron and Tibshirani"""
L=len(data)
if statFunc is None:
statFunc = lambda data: (np... | caff773b1fbb7f98d21e78da98f9436a40a45312 | 67,567 |
def center_time(ds):
"""make time the center of the time bounds"""
ds = ds.copy()
attrs = ds.time.attrs
encoding = ds.time.encoding
tb_name, tb_dim = _get_tb_name_and_tb_dim(ds)
ds["time"] = ds[tb_name].compute().mean(tb_dim).squeeze()
attrs["note"] = f"time recomputed as {tb_name}.mean({tb... | f0b5d72c59757954495a93c74c392d20bfa5e17b | 67,568 |
from typing import List
import logging
def download_conversations_history(
client, channel: str, page_limit: int,
latest_unix_time: float, oldest_unix_time: float) -> List[dict]:
"""download Slack Web API conversations.list response.
Returns:
List of dict{"channel":ccc, "message":{ ...... | 1778400a61c4de1492fd77e891a28cea1778b72f | 67,569 |
def cos_between_vects_batch(v1, v2):
"""
Returns the cosine angle between vectors 'v1' and 'v2'
:param v1: N,C
:param v2: N,C
:return N,
"""
v1_u = v1 / np.linalg.norm(v1, axis=1).reshape(-1, 1) # N,C
v2_u = v2 / np.linalg.norm(v2, axis=1).reshape(-1, 1)
dots = np.sum(v1_u * v2_u, ... | 55e5efc445c27316851a8df701d7d4eba406c31d | 67,571 |
def get_exchange_rate_key(item: ExchangeItem) -> str:
"""
Generate a caching key for exchanging currency from one to another for today
"""
key = f"{item.currency_from}_{item.currency_to}_{item.historic_date}"
return key | d09dafa1baebd9c231ef9e26fb85339b4c89f97a | 67,572 |
import fnmatch
def iterator(network_filter="*", clear_sessions=False):
"""
Iterator over various networks.
"""
def fetch_networks(module_name, module):
ret = [
("%s.%s" % (module_name, name), (module, name))
for name in module.__all__
if any(
... | 3de5c0eb4067b65099f5f1cd51f944b4ef6c8131 | 67,573 |
def get_sales_order_items_rows(*args, **kwargs):
"""
获取列表
:param args:
:param kwargs:
:return:
"""
return db_instance.get_rows(SalesOrderItems, *args, **kwargs) | 9504fd6cd84081cc01d3d54efa24895f98f27dc4 | 67,574 |
def handle_quit(all_events):
"""If pygame quiting, terminate self. Returns true if quit"""
for event in all_events:
if event.type == pygame.QUIT:
return True
return False | ec2587fcc95b4d6804d6527436c3b5a6155e271c | 67,575 |
def wrap_dqn_bnn(env, noop_max=1):
"""Apply a common set of wrappers for Atari games."""
assert 'NoFrameskip' in env.spec.id
env = EpisodicLifeEnv(env)
env = NoopResetEnv(env, noop_max=noop_max)
env = MaxAndSkipEnv(env, skip=4)
if 'FIRE' in env.unwrapped.get_action_meanings():
env = Fire... | 9ca7ba1adb3dd72fdd04f552ee6260ff6b934a6a | 67,576 |
def list_variables(checkpoint_dir):
"""Returns list of all variables in the latest checkpoint.
Args:
checkpoint_dir: Directory with checkpoints file or path to checkpoint.
Returns:
List of tuples `(name, shape)`.
"""
reader = _load_checkpoint(checkpoint_dir)
variable_map = reader.get_variable_to_s... | 8b8e75e535073aac66eda14705a770d927edb652 | 67,577 |
def _is_schar(self):
"""Test auf Schar"""
return len(self.sch_par) == 1 | 8d1229a45fab73a9d7f1560806c6e3497bbb1bcf | 67,579 |
def seqid_to_ahref(text):
"""
Return a new string where each occurrence of a sequence ref `Axxxxxx` replaced as `<a href=...>` html tag.
"""
return Axxxxxx_regex.sub(r'<a href="http://oeis.org/\g<id>">\g<id></a>', text) | 8addba28dda8c05034850bb8c079807af7202b20 | 67,580 |
def getTracks():
"""
Return a list of Track objects.
Result example : [Track1, Track2, ...]
"""
return loadView('tracks') | c39c2ab7662cf6d641d01c08c05f7d4ea74bbe0c | 67,581 |
def call_interp1d(track, inds, nticks, mess=None, linear=False):
"""
Call interp1d for each dimension individually. If LOG_L or
LOG_TE doesn't change, will return a constant array.
Probably could/should go in ._interpolate
Parameters
----------
track: padova_tracks.Track object
inds: ... | e9521d7a3e8646c5edcf64c09afe1e097a7a3473 | 67,582 |
import re
def _match(qs, ks):
"""Return True if regexes in qs match any window of strings in tuple ks."""
# compile regexes and force complete match
qts = tuple(map(lambda x: re.compile(x + '$'), qs))
for i in range(len(ks) - len(qs) + 1):
matches = [x.match(y) for x, y in zip(qts, ks[i:])]
if matches... | b5abe402f8ed0f78b9fef9ff3b274925ce58dbcd | 67,583 |
def getPartCharFunc2Org(partDHisto, key, paramProd, rArray, drPrime, delta):
"""
Calculates inter-atom contributions to the EPDDF for a partial distance histogram.
@param partDHisto Partial distance histogram.
@param key string Representing pair of particle species.
@param paramProd Parameter dicti... | 94dc2ce96600fb999adce3b871074f7a9266bed5 | 67,584 |
def GetBuiltinsPyTD(): # Deprecated. Use Loader.concat_all.
"""Get the "default" AST used to lookup built in types.
Get an AST for all Python builtins as well as the most commonly used standard
libraries.
Returns:
A pytd.TypeDeclUnit instance. It'll directly contain the builtin classes
and functions,... | 552198939d103a04b5c8266aec76b9a8ac16e06b | 67,586 |
def lambda_handler(event, context):
"""
Root website view. I.e. '/' and client-side routes.
"""
return {
'statusCode': 200,
'body': load_html_template(event),
'headers': {'Content-Type': 'text/html'}
} | b64dd6792bed48d0fd5f3df5839cef0b63b1df7f | 67,587 |
def _fit_ovo_binary(estimator, X, y, i, j, sampling=None):
"""Fit a single binary estimator (one-vs-one).
It is possible to apply a sampling method.
"""
cond = np.logical_or(y == i, y == j)
y = y[cond]
y_binary = np.empty(y.shape, np.int)
y_binary[y == i] = 0
y_binary[y == j] = 1
in... | f2188696eb25df98a13be40dcbe114cf2191fcf1 | 67,588 |
def get_formated_ipaddr(input_ip):
"""
Format given ip address string to fortigate format (ip netmask)
Args:
* **ip_str** (string) : string representing ip address
accepted format:
- ip netmask (ex: 192.168.0.10 255.255.255.0)
- ip (ex: 192.168.0.10)
- CIDR (ex... | 06a6c14041de6603f37329a9e9ecd1f75e9a782c | 67,589 |
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