content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def simple_computation(maximum_terms:int=None, configuration_of=None):
"""
Simple 4-operand computations
移除了分数项，因为除法运算会表示为分数
禁用了括号（random_term的expression参数），因为会导致溢出
:return: Problem object
"""
if not configuration_of: configuration_of = 'simple_computation'
func_config = combine_configur... | 0dae4396f74b9a254d0c882c022018c7a69d69cd | 3,647,884 |
def add_torrents_from_folder(path, transmission_url, torrentleech_username, torrentleech_password, torrentleech_rss_key):
"""Console script for media_server_utils."""
core.add_torrents_from_folder(path, transmission_url, torrentleech_username, torrentleech_password, torrentleech_rss_key)
return 0 | ac058ff014c76a3af4054076961b52011bc7329c | 3,647,885 |
def cut_graph(G, w):
"""
Cut a graph down to a given depth
Inputs: - G Input graph
- w Depth to cut to
Output: - cut_G Cut graph
"""
# Copy the initial graph and get the number of nodes
cut_G = G.copy()
N = len(G.nodes)
# Check all ... | 314f804d2d42146e1dcfb1f4a5373f92a4fe2f17 | 3,647,886 |
def archive_filter_search(articles_qs):
"""
gets the qs and filters and sends back to the hook for rendering.
"""
return articles_qs.exclude(updates__article__stage=STAGE_PUBLISHED) | 2f5783de98110b9b74cabcf571a5919b409d1479 | 3,647,887 |
from typing import List
def init_plotscript(config, markets: List, startup_candles: int = 0):
"""
Initialize objects needed for plotting
:return: Dict with candle (OHLCV) data, trades and pairs
"""
if "pairs" in config:
pairs = expand_pairlist(config['pairs'], markets)
else:
p... | 220118a5d438227932ba9473471d59ff03b44412 | 3,647,888 |
from typing import List
from typing import Callable
def get_one(data: List[LogEntry], filterfun: Callable) -> LogEntry:
"""Get a single entry and assert that after filtering only a single entry
remains."""
filtered = list(filter(filterfun, data))
if len(filtered) != 1:
raise ValueError(f"Entri... | ece1b0b9c654f85eda89e2fc8736c84b4a2ca9ca | 3,647,889 |
from typing import Optional
def create(env_name: str,
episode_length: int = 1000,
action_repeat: int = 1,
auto_reset: bool = True,
batch_size: Optional[int] = None,
**kwargs) -> Env:
"""Creates an Env with a specified brax system."""
env = _envs[env_name](**k... | 1d7e8bf147843799f01e7a894b86fce74ca86da7 | 3,647,891 |
def from_software_version(software_version):
"""
Returns the product version dependant limits_constants. This is based on
the running software version on the product and can change based on up when
you ask a cluster if upgrading.
Args:
software_version: (str) software version ex "3.1.2.0" o... | fc978610a6aa55a956bb849cae107bc134934f55 | 3,647,892 |
def _from_parse_feature(parse_feature):
"""Convert a single feature spec to a ColumnSchema."""
# FixedLenFeature
if isinstance(parse_feature, tf.FixedLenFeature):
representation = FixedColumnRepresentation(parse_feature.default_value)
return ColumnSchema(parse_feature.dtype, parse_feature.shape,
... | 9c7034c3b7663a0c49dc69dbf8507f90f4cacf83 | 3,647,893 |
import json
def conditional_patch_resource(
service_account_json, base_url, project_id, cloud_region, dataset_id, fhir_store_id
):
"""
If a resource is found based on the search criteria specified in
the query parameters, updates part of that resource by
applying the operations specified in a JSON... | e04eada0184d38c8d0b1ec4620fd5ef1f0bc90d5 | 3,647,894 |
def cal_big_F(p, f):
"""
calculate finite strain big F for linearized form
not fully tested
:param p: pressure
:param f: small f
:return: big F
"""
return p / (3. * f * np.power((1. + 2. * f), 2.5)) | 2d98b9e525837cd8d6dd17266f92f959743ad8f2 | 3,647,895 |
from typing import List
def multiply_aug(data_aug: List[str], factor: int) -> List[str]:
"""
The original idea here was to use to to speed up some vasp calculations for
supercells by initializing the entire CHGCAR file.
The current code does not deal with transformation of the Augemetation charges aft... | 2baef4c98dbb83f1a08f11e58f3c4cf82ad8ea64 | 3,647,896 |
def _parse_instance_chain(chain_str):
""" 返回对象链解析出来的实例对象。"""
chain = chain_str.split('.')
instance_name = chain.pop(0)
attr = session['instances'][instance_name]
for attr_name in chain:
attr = getattr(attr, attr_name)
return attr | 531b78ee80f3b6437b885ef89b7f285e6cf6a8a5 | 3,647,897 |
import math
def epochs_lists(
draw,
start_time=math.inf,
max_epochs=5,
min_deme_size=FLOAT_EPS,
max_deme_size=FLOAT_MAX,
):
"""
A hypothesis strategy for creating lists of Epochs for a deme.
:param float start_time: The start time of the deme.
:param int max_epochs: The maximum nu... | 9eebece7ac1dc2f9ad6d13f7368de62a6db9433c | 3,647,898 |
import torch
def mlp_layers(nch_input, nch_layers, b_shared=True, bn_momentum=0.1, dropout=0.0):
""" [B, Cin, N] -> [B, Cout, N] or
[B, Cin] -> [B, Cout]
"""
layers = []
last = nch_input
for i, outp in enumerate(nch_layers):
if b_shared:
weights = torch.nn.Conv1d(last, ... | 8085b99b828fcbadee191d90737d582f7dd9ce73 | 3,647,899 |
def path_content_to_string(path):
"""Convert contents of a directory recursively into a string for easier comparison."""
lines = []
prefix_len = len(path + sep)
for root, dirs, files in walk(path):
for dir_ in dirs:
full_path = join(root, dir_)
relative_path = full_path[p... | 10d350eb866642f52e350b76f01de2b7e0ff6a5d | 3,647,901 |
def get_evts(rslt, a_params):
"""Return start and end times of candidate replay events."""
# get PC firing rates
## PC spks
spks_pc = rslt.spks[:, :rslt.p['N_PC']]
## smoothed instantaneous firing rate avg'd over PCs
fr_pc = smooth(spks_pc.sum(axis=1) / (rslt.dt * rslt.p['N_PC']), a_params[... | c8c6867588d72f97dd687dbe17b7494bc534fa1e | 3,647,902 |
from typing import List
from typing import Dict
def get_threatfeed_command(client: Client, threatfeed_id: int = None):
"""
Retrieves the current list of threatFeed objects already configured in the system
:param threatfeed_id: The id of the ThreatFeed object.
:param client: Vectra Client
"""
... | 7f0b37a724720aea73170d3575ed5b08dec7ea85 | 3,647,903 |
def email_subscribe_pending_confirm(hexdomain):
"""Send a confirmation email for a user."""
domain = tools.parse_domain(hexdomain)
if domain is None:
flask.abort(400, 'Malformed domain or domain not represented in hexadecimal format.')
hide_noisy = bool(flask.request.form.get('hide_noisy'))
... | 9932554a3349e3cf1ecd958d15dd762f787f61c7 | 3,647,904 |
def getTrackIds(sp, username, playlist, offset=0):
"""
Returns the ids of the tracks contained in a playlist
:param sp:
A spotipy.Spotify object to be used for the request.
:param username:
The username of the user who's playlists you want the retrieve.
:param playlist:
Na... | 5b4e621022f49137b7fd4547bf5ab4efe92b4515 | 3,647,905 |
def children_of_head(element: Element):
"""
get children element of body element
:param element:
:return:
"""
if element is None:
return []
body_xpath = '//head'
body_element = element.xpath(body_xpath)
if body_element:
body_element.__class__ = Element
return ... | 90b47d1c0c3f04231ea5dade3f7e9288339eef71 | 3,647,906 |
def network(name, nodes):
"""nodes: [ NodeMeta, ... ]"""
return NetworkMeta(name=name, nodes=nodes) | 5c0394ae2a31b83ac6889a4b973f51c1cdb1a0d9 | 3,647,907 |
def condensed_to_cosine(condensed_format):
"""Get mhd direction cosine for this condensed format axis"""
axis = Axis.from_condensed_format(condensed_format)
return permutation_to_cosine(axis.dim_order, axis.dim_flip) | 25b3f0d63a84fa687bf4b238b53288fb8f64918b | 3,647,908 |
def get_plants_for_species(item):
"""Get list of plants for a species."""
if item is None or not item or item['name'] is None:
return
@cached('species_list_{}.json'.format(item['name']),
directory='../../data/wikipedia')
def get():
def table(dom):
# We need to sw... | ed9522fd97ac101a6040f0485d06b1b88a834060 | 3,647,909 |
def check_password_hash(password, password_hash, salt, N=1 << 14, r=8, p=1, buflen=64):
"""
Given a password, hash, salt this function verifies the password is equal to hash/salt.
Args:
- ``password``: The password to perform check on.
Returns:
- ``bool``
"""
candidate_hash = gen... | 1e3a75235b11c45746cabf03dcf05b88e610c02f | 3,647,910 |
def _dB_calc(J_field, x, y, z):
""" Calcualtes the magnetic field at a point due to a current.
Args:
J_field (VectorField): Vector field describing the current
that the magnetic field is generated from.
x: The x coordinate of the point in the magnetic field.
y: The y coordinate of the point in the magnet... | 0a66c59b4ece95c4f683a842b63e80d2a13a697a | 3,647,911 |
import math
def create_mpl_subplot(images, color=True):
"""create mpl subplot with all images in list.
even when the color is set to false it still seems to
:param images: the list of images to plot
:type images: cv2 image
:param color: whether to plot in color or grayscale, defaults to True
... | 259c352438c19c4639d78ef67aeb9af0271d6ade | 3,647,912 |
def filter_subclasses(superclass, iter):
"""Returns an iterable of class obects which are subclasses of `superclass` filtered from a source iteration.
:param superclass: The superclass to filter against
:return: An iterable of classes which are subclasses of `superclass`
"""
return filter(lambda kl... | 2a891835379dfa3661d781d0c1860b650df013f0 | 3,647,913 |
def get_database_table_column_name(_conn: psycopg2.extensions.connection,
_table: str) -> list:
"""
Taken from:
https://kb.objectrocket.com/postgresql/get-the-column-names-from-a-postgresql-table-with-the-psycopg2-python-adapter-756 # noqa
defines a function that gets... | 9486e75792e2b7a63db589727a621fd648213487 | 3,647,914 |
import asyncio
def retry(*exceptions, retries=3, cooldown=5, verbose=True):
"""
Decorate an async function to execute it a few times before giving up.
Hopes that problem is resolved by another side shortly.
Args:
exceptions (Tuple[Exception]) : The exceptions expected during function execution... | fea7b786815e2aabedf37e8011485eda3c989fe7 | 3,647,915 |
def process_student(filename_or_URL):
"""calls mark_student on one student HTML file
Creates a BeautifulSoup object and calls mark_student.
If the filename_or_URL starts with "https://", attempt to get Firefox cookies
before reading from the URL.
Parameters:
----------
filename_or_URL: ei... | 185d396f4005954fcc26b0c8ab3c9711b511c611 | 3,647,916 |
def find_CH2OH_in_chain(atoms, cycles):
""" this function finds terminal CH2OH that C is not in a cycle
H
'
O(6)
' H
' /
R---C(5)---H
"""
end_carbon_indices = []
end_carbon_indices_atom_list... | 55dbb4767c905fd90f5085b4fcea08e80bf43902 | 3,647,917 |
def keep_point(p, frame):
"""
p: TrackedPoint instance
frame: image (numpy array)
"""
if not p.in_bounds():
return False
if p.coasted_too_long():
return False
if p.coasted_too_far():
return False
return True | 7f51b9f15ac8befe07b463875b9245194aebbef0 | 3,647,919 |
from typing import Dict
from typing import List
def sqrt(node: NodeWrapper,
params: Dict[str, np.ndarray],
xmap: Dict[str, XLayer]) -> List[XLayer]:
"""ONNX Sqrt to XLayer Sqrt conversion function"""
logger.info("ONNX Sqrt -> XLayer Sqrt")
assert len(node.get_outputs()) == 1
name = ... | 711dfe71eaf337c75acd07bf3f09ca8a7c090fa4 | 3,647,920 |
def get_testcase_desc(suite, testcase_name):
"""
Return the description of the testcase with the given name of the
given testsuite.
Remove trailing line returns if applicable, they look nasty
in the reports (text and otherwise)
"""
desc = getattr(suite, testcase_name).__doc__
return str... | 1a97e02047d42f76328cc55debe8006bcfb80a43 | 3,647,921 |
def slave_freq_one_pc(args):
"""Wrapper to be able to use Pool"""
return args, freq_one_pc(*args) | 0627685181cbec45564066ea9e29601fc3717257 | 3,647,922 |
def base10_to_base26_alph(base10_no):
"""Convert base-10 integer to base-26 alphabetic system.
This function provides a utility to write pdb/psf files such that it can
add many more than 9999 atoms and 999 residues.
Parameters
----------
base10_no: int
The integer to convert to base-26... | 67aed6602c6813702416310518c892f02fdb58ef | 3,647,923 |
import pickle
def train(model, X, y, name: str):
"""
train a model on the given training set and optionally save it to disk
:param model: the model to train
:param X: the sample images, list of numpy arrays (greyscale images)
:param y: the target labels, list of strings (kanji)
:param name: na... | 9b5e4e03b25d7692a233370dd2db1fd2435365e0 | 3,647,924 |
def run_phage_boost(genecalls, model_file, verbose):
"""
Run phage boost
:param model_file: The model file that is probably something like model_delta_std_hacked.pickled.silent.gz
:param genecalls: The pandas data frame of gene calls
:param verbose: more output
:return:
"""
# rolling par... | 28592977483d092cf67e7eb7bbd98b911044084b | 3,647,926 |
from datetime import datetime
def get_wishlist_confirmation_time():
"""Return whether user can confirm his wishlist or not
No request params.
"""
try:
confirmation_time = g.user.get_wishlist_confirmation_time()
can_confirm = datetime.now() - confirmation_time > timedelta( days = 1 ) i... | 89c2fbe9a3801805194dbf41274ba348a87954b1 | 3,647,927 |
def get_bprop_npu_clear_float_status(self):
"""Grad definition for `NPUClearFloatStatus` operation."""
def bprop(x, out, dout):
return (zeros_like(x),)
return bprop | 8e0733a9d6294e507bb99f3536cf1898137a0f3b | 3,647,928 |
import pathlib
def path_to_filename(path, with_suffix=True):
"""Get filename from path.
Parameters
==========
path : str
Path to retrieve file name from e.g. '/path/to/image.png'.
with_suffix : bool
Whether to include the suffix of file path in file name.
Returns
====... | 45ecfb6e263e65de7165a69eda99bc8de2a157f4 | 3,647,929 |
def encode3(Married):
"""
This function encodes a loan status to either 1 or 0.
"""
if Married == 'Yes':
return 1
else:
return 0 | 3be5ca3b773e5ded6fe8ec834bc0d99af68bf9e6 | 3,647,930 |
def rle_encoding(img, mask_val=1):
"""
Turns our masks into RLE encoding to easily store them
and feed them into models later on
https://en.wikipedia.org/wiki/Run-length_encoding
Args:
img (np.array): Segmentation array
mask_val (int): Which value to use to create the RLE
Returns:
RLE ... | 8639094ea57138212a73b179eed593e248363314 | 3,647,932 |
import asyncio
def alt(*ops, priority=False, default=_Undefined):
"""
alt(*ops, priority=False, default=Undefined)
Returns an awaitable representing the first and only channel operation to finish.
Accepts a variable number of operations that either get from or put to a
channel and commits only o... | e26660938b760e9f3e2b43375c26ee1a2e946056 | 3,647,933 |
def make_class_dictable(
cls,
exclude=constants.default_exclude,
exclude_underscore=constants.default_exclude_underscore,
fromdict_allow_pk=constants.default_fromdict_allow_pk,
include=None,
asdict_include=None,
fromdict_include=None,
):
"""Make a class dictable
Useful for when the ... | 87a0ed0b0baa1449396921c3651c9d2ef4549f35 | 3,647,934 |
def async_request_config(
hass,
name,
callback=None,
description=None,
description_image=None,
submit_caption=None,
fields=None,
link_name=None,
link_url=None,
entity_picture=None,
):
"""Create a new request for configuration.
Will return an ID to be used for sequent cal... | f3c8ee70b3b51debeb404660a35491b07c78170e | 3,647,935 |
def get_blueprint_docs(blueprints, blueprint):
"""Returns doc string for blueprint."""
doc_string = blueprints[blueprint].__doc__
return doc_string | 8a334a9ddd1ff5fe844821152f4312b2db0e9da5 | 3,647,936 |
from typing import Counter
def getColorPalatte(image, num, show_chart=False):
"""
Returns the most prevelent colors of an image
arguments:
image - image to sample colors from
num - number of colors to sample
show_chart - show a visual representation of the colors selected
"""
modified... | 9eaa125cefb1b23161479eaf2e2765ebb58bcd9e | 3,647,937 |
import numpy
def run_classifier(data,labels, shuffle=False,nfolds=8,scale=True,
clf=None,verbose=False):
"""
run classifier for a single dataset
"""
features=data
if scale:
features=sklearn.preprocessing.scale(features)
if shuffle:
numpy.random.shuffle(labels)... | 3a479971040131cb05f7441112ad0e951b8374f2 | 3,647,938 |
def merge_sort(linked_list):
"""
Sorts a linked list in ascending order
- Recursively divide the linked list into sublist containing a single node
- Repeatedly merge the sublist to produce sorted sublist until one remains
Returns a sorted linked list
Takes O(kn log n) time
"""
if linked_... | 07dfee0cb5bdcddb688431f00aeb0520f1d2ed1c | 3,647,939 |
def is_binary(file_path):
""" Returns True if the file is binary """
with open(file_path, 'rb') as fp:
data = fp.read(1024)
if not data:
return False
if b'\0' in data:
return True
return False | 2df56f93d4e31220a580bf1e659c3c51b96260d2 | 3,647,940 |
def convert_host_names_to_ids(session, instanceList):
"""Look up ID of each instance on Amazon. Returns a list of IDs."""
idList = []
for i in instanceList:
instId = aws.instanceid_lookup(session, i)
if instId is not None:
idList.append(instId)
return idList | 128d3d4a5e5e0729b477687f665abac43d29aef9 | 3,647,941 |
def handle_over_max_file_size(error):
"""
Args:
error:
Returns:
"""
print("werkzeug.exceptions.RequestEntityTooLarge" + error)
return 'result : file size is overed.' | 2bbdc1e38dea46ac08c314b3962ed63063578021 | 3,647,942 |
from typing import Mapping
import logging
import urllib
def _load_from_url(url: str,
chinese_only=False) -> Mapping[str, DictionaryEntry]:
"""Reads the dictionary from a local file
"""
logging.info('Opening the dictionary remotely')
with urllib.request.urlopen(url) as dict_file:
data = ... | b496db0b767c17476ecbdc7cab89b962f19a4510 | 3,647,943 |
def get_images():
"""
Canned response for glance images list call
"""
return images | 3f26e3e0527c0885cfff3470e5d40baf19b3ca82 | 3,647,944 |
def firstUniqChar(self, s):
"""
:type s: str
:rtype: int
"""
letters = 'abcdefghijklmnopqrstuvwxyz'
index = [s.index(l) for l in letters if s.count(l) == 1]
return min(index) if len(index) > 0 else -1 | 8b42b281c9e80cf89fb9952a0fe7c60c5270c210 | 3,647,945 |
def get_form_class_for_class(klass):
"""
A helper function for creating a model form class for a model on the fly. This is used with models (usually
part of an inheritance hierarchy) which define a function **get_editable_fields** which returns an iterable
of the field names which should be placed in th... | 12fcdcf9a3155e718bab28b30b466824ad425508 | 3,647,946 |
def dict_remove_key(d, key, default=None):
"""
removes a key from dict __WITH__ side effects
Returns the found value if it was there (default=None). It also modifies the original dict.
"""
return d.pop(key, default) | 47bd0edf2bbeb9bad5c696d289c69d2d9eba6a1b | 3,647,947 |
from typing import Optional
def momentum(snap: Snap, mask: Optional[ndarray] = None) -> ndarray:
"""Calculate the total momentum vector on a snapshot.
Parameters
----------
snap
The Snap object.
mask
Mask the particle arrays. Default is None.
Returns
-------
ndarray
... | 022f58ed494fb381e650ec0f61ed8d75704b846c | 3,647,948 |
import types
def limit_epochs(tensor, num_epochs=None, name=None):
"""Returns tensor num_epochs times and then raises an OutOfRange error.
Args:
tensor: Any Tensor.
num_epochs: An integer (optional). If specified, limits the number
of steps the output tensor may be evaluated.
name: A name for ... | 82fa475bf4fe0f63a66c5718dc2a0336b887b3d6 | 3,647,949 |
def hex_machine(emit):
"""
State machine for hex escaped characters in strings
Args:
emit (callable): callback for parsed value (number)
Returns:
callable: hex-parsing state machine
"""
left = 4
num = 0
def _hex(byte_data):
nonlocal num, left
if 0x30 <... | 39232fdaf3c0ae19154e28307fb7f1254133dc94 | 3,647,950 |
import re
def isbns(self, key, value):
"""Translates isbns fields."""
_isbns = self.get("identifiers", [])
for v in force_list(value):
subfield_u = clean_val("u", v, str)
isbn = {
"value": clean_val("a", v, str) or clean_val("z", v, str),
"scheme": "ISBN",
}... | 6db2f27733155e33e64b2d2ffba621deda86808d | 3,647,951 |
import requests
def create_user(name, age, occupation):
"""
Function to post a new user.
Parameters
----------
name : str
Name of the user.
age : int
Age of the user.
occupation : str
Occupation of the user.
Returns
-------
message : str
request_s... | 7e7a9a1071fd28a10beeaaf3922eaf36533334f8 | 3,647,952 |
import torch
def gauss_dataset(dim, size=1e6):
"""
Creates a dataloader of randomly sampled gaussian noise
The returned dataloader produces batsize batches of dim-sized vectors
"""
def samplef(bsize):
return torch.randn(bsize, dim)
ret = SampleDataset(samplef, size=size)
return re... | 224640cff465b7e73d091a799498f3282d309b4e | 3,647,953 |
def nightwatch_environment(request): # convenience spelling
"""Run tests against this environment (staging, production, etc.)"""
return request.config.getoption('--nightwatch-environment') | dc284660e062abf1b74a327e4b045cf79a64ee3a | 3,647,954 |
def get_hrs(pid_arg):
"""
Pulls all recorded heart rate data for a patient from the database
Args:
pid_arg: patient_id to pull heart rate data for
Returns:
list: containing all recorded heart rates
"""
u5 = User.objects.raw({"_id": pid_arg}).first()
return u5.heart_rate | 48794e2b94359a81d05d435feb0cf39e52142ca1 | 3,647,955 |
def resolve(match, *objects):
"""Given an array of objects and a regex match, this function returns the first
matched group if it exists in one of the objects, otherwise returns the orginial
fully matches string by the regex.
Example: if regex = \\\.([a-z]) and string = test\.abc, then
the match = {group0: \... | 52f59fb5248ba635866fcd59a549067c3984e460 | 3,647,956 |
from editor_python_test_tools.utils import Report
from editor_python_test_tools.utils import TestHelper as helper
import azlmbr.legacy.general as general
import azlmbr.bus
import azlmbr
def Collider_CollisionGroupsWorkflow():
# type: () -> None
"""
Summary:
Runs an automated test to ensure PhysX colli... | 6463d4543a771a50709712012650c804b365fe81 | 3,647,957 |
import time
from datetime import datetime
def _timestamp(zone="Europe/Istanbul") -> int:
"""Return timestamp of now."""
return int(time.mktime(datetime.now(timezone(zone)).timetuple())) | 871c1dcba8b6f581097c2e24d34903c00034fa03 | 3,647,958 |
def sumReplacements(tex, functionName):
"""
Search tex file for the keyString "\\apisummary{" and its matching
parenthesis. All text between will be processed such that there are no
consecutive spaces, no tabs, and unnecessary "\\n". The text will then
have all the macros replaced and put back into... | 8b2ed7bec78c6f2fa03c1308cc4a8fcdfbfa6f8d | 3,647,959 |
from typing import Union
from typing import List
from typing import Optional
def path(path: Union[str, List[str]], *, disable_stage_removal: Optional[bool] = False):
"""Validate the path in the event against the given path(s).
The following APIErrorResponse subclasses are used:
PathNotFoundError: Whe... | eff9b153e90e3d657733c5c83b13c77aef21395f | 3,647,961 |
import math
import torch
def inference_fn(trained_model,
remove,
fixed_params,
overwrite_fixed_params=False,
days_of_purchases=710,
days_of_clicks=710,
lifespan_of_items=710,
**params):
"""
F... | 3fa306d97d4db7cf5b321b6284c5ab75ff108845 | 3,647,963 |
import random
import scipy
def initialize_mean_variance(args):
"""Initialize the current mean and variance values semi-intelligently.
Inspired by the kmeans++ algorithm: iteratively choose new centers from the data
by weighted sampling, favoring points that are distant from those already chosen
"""
... | 98808bc7ab069c1ea7ca8e05b6dd27275d6c0f09 | 3,647,964 |
def verify_file_checksum(path, expected_checksum):
"""Verifies the sha256 checksum of a file."""
actual_checksum = calculate_file_checksum(path)
return actual_checksum == expected_checksum | 519d58892a122d5bc7850cb21ca047c152ef4183 | 3,647,965 |
import decimal
def float_to_str(f, p=20):
""" 将给定的float转换为字符串，而无需借助科学计数法。
@param f 浮点数参数
@param p 精读
"""
if type(f) == str:
f = float(f)
ctx = decimal.Context(p)
d1 = ctx.create_decimal(repr(f))
return format(d1, 'f') | 551ab2f58b48e4005d8b5a85a7eb096e4e749d23 | 3,647,966 |
from typing import List
def get_classes(parsed) -> List[ClassDef]:
"""Returns classes identified in parsed Python code."""
return [
element
for element in parsed.body
if isinstance(element, ClassDef)
] | e339899eb1dd039c9a708bf39f2fafa527d15882 | 3,647,967 |
import tqdm
def create_index(
corpus_f: str,
model_name_or_path: str,
output_f: str,
mode: str = "sent2vec",
batch_size: int = 64,
use_cuda: bool = False,
):
"""Given a corpus file `corpus_f` and a sent2vec model `sent2vec_f`, convert the sentences in
the corpus (line-by-line) to ve... | b757d55ecf3001cad2ad285f476a391cb013d8f4 | 3,647,969 |
import importlib
def import_module(name, path):
"""
correct way of importing a module dynamically in python 3.
:param name: name given to module instance.
:param path: path to module.
:return: module: returned module instance.
"""
spec = importlib.util.spec_from_file_location(name, path)
... | d78dc5bc9d3a121c53bdd3bc44ad57378976eb28 | 3,647,971 |
def response_ssml_text_and_prompt(output, endsession, reprompt_text):
""" create a Ssml response with prompt """
return {
'outputSpeech': {
'type': 'SSML',
'ssml': "<speak>" + output + "</speak>"
},
'reprompt': {
'outputSpeech': {
'ty... | 7cfa6b245bb80a29b10f3b972d1e9eb68377e836 | 3,647,972 |
import re
def getAreaQuantityQuantUnit(words):
"""
from training data:
count perc cum_sum cum_perc
kind_c
hectare 7 58.333333 7 58.333333
acre 2 16.666667 9 75.000000
meter 1 8.333333 ... | 10397a73042469a949fa6dbf70e8bba406cf510c | 3,647,973 |
from typing import Optional
from typing import List
import pwd
import grp
def add_user(
username: str,
password: Optional[str] = None,
shell: str = "/bin/bash",
system_user: bool = False,
primary_group: str = None,
secondary_groups: List[str] = None,
uid: int = None,
home_dir: str = No... | 17e9cc717f5ff63e65df202e05de88e703a9cf03 | 3,647,974 |
def tokenize_and_align(tokenizer, words, cased=False):
"""Splits up words into subword-level tokens."""
words = ["[CLS]"] + list(words) + ["[SEP]"]
basic_tokenizer = tokenizer.basic_tokenizer
tokenized_words = []
for word in words:
word = tokenization.convert_to_unicode(word)
word = basic_tokenizer._c... | d6bd3fa2523b0f2422d6d0c2c87ac2637462542a | 3,647,975 |
def _vagrant_format_results(line):
"""Extract fields from vm status line.
:param line: Status line for a running vm
:type line: str
:return: (<vm directory path>, <vm status>)
:rtype: tuple of strings
"""
line_split = line.split()
return (line_split[-1], line_split[-2],) | 78788572e6b695696621775c28ae8b3a1e577ee3 | 3,647,976 |
def rect_to_xys(rect, image_shape):
"""Convert rect to xys, i.e., eight points
The `image_shape` is used to to make sure all points return are valid, i.e., within image area
"""
h, w = image_shape[0:2]
def get_valid_x(x):
if x < 0:
return 0
if x >= w:
return w... | a706007dc1651f1b8ce3c35b355b5b02915158e9 | 3,647,977 |
from typing import Optional
def determine_aws_service_name(
request: Request, services: ServiceCatalog = get_service_catalog()
) -> Optional[str]:
"""
Tries to determine the name of the AWS service an incoming request is targeting.
:param request: to determine the target service name of
:param ser... | c29cc59324c3bf946cdfcd936b3f523feb657fda | 3,647,978 |
from typing import Any
async def async_get_config_entry_diagnostics(
hass: HomeAssistant, entry: ConfigEntry
) -> dict[str, Any]:
"""Return diagnostics for a config entry."""
coordinator: DataUpdateCoordinator[Domain] = hass.data[DOMAIN][entry.entry_id]
return {
"creation_date": coordinator.da... | 3aa4e17c646367721ffc266c31f66cd9f81c26fe | 3,647,980 |
from typing import Dict
def binary_to_single(param_dict: Dict[str, float], star_index: int) -> Dict[str, float]:
"""
Function for converting a dictionary with atmospheric parameters
of a binary system to a dictionary of parameters for one of the
two stars.
Parameters
----------
param_dict... | 21099162ffe83715892abf82660e35ee98e02930 | 3,647,981 |
def welcome():
"""List all available api routes."""
return (
"""Available Routes:
/api/v1.0/precipitation
Convert the query results to a dictionary using date as the key and prcp as the value.
Return the JSON representation of your dictionary.
/api/v1.0/... | 83fcd43ff8dddd0596232dfb4420525bc592b583 | 3,647,982 |
import re
def armenian_input_latin(field, text):
"""
Prepare a string from one of the query fields for subsequent
processing: replace latin characters with Armenian equivalents.
"""
if field not in ('wf', 'lex', 'lex2', 'trans_ru', 'trans_ru2'):
return text
textTrans = ''
for c in ... | 94764ec931a4469ea0dca39a70880b41345ab7cf | 3,647,983 |
from typing import Union
from typing import Tuple
from typing import Callable
from typing import Optional
import types
def df_style_cell(*styles: Union[
Tuple[Callable[['cell'], bool], 'style'],
Tuple['cell', 'style'],
Callable[['cell'], Optional['style']],
]) -> Callable[['cell'], 'style']:
"""
S... | e45d1b17ecd3bfe6bf05ba70e7ef0c8dc4b99a81 | 3,647,984 |
def bbox_transform(boxes, deltas, weights=(1.0, 1.0, 1.0, 1.0)):
"""Forward transform that maps proposal boxes to predicted ground-truth
boxes using bounding-box regression deltas. See bbox_transform_inv for a
description of the weights argument.
"""
if boxes.shape[0] == 0:
return np.zeros((... | 90e4cb394a12cbb73ce0dea85557b8195f04a961 | 3,647,985 |
def get_item_tds(item_id):
"""
Method conntect to ILS to retrieve item information and generates
an html table cells with the information.
:param item_id: Item id
:rtype: HTML string
"""
item_bot = ItemBot(opac_url=ils_settings.OPAC_URL,item_id=item_id)
output_html = "<td>{0}</td><t... | 866e364257aae174a7ddecdaa94f5af1e9cbfcca | 3,647,986 |
def build_data_request(mac, request_type='current', interval=1, units='english'):
"""
Creates RainWise API request for Recent Data based on station mac, format (optional), and units (optional)
"""
# Check if interval requested is valid interval
if interval not in [1, 5, 10, 15, 30, 60]:
rais... | 733c20f5c67fe2c630427bfb70ab563df111558c | 3,647,988 |
def load_acs_access_to_car() -> pd.DataFrame:
"""Function to merge the two files for the QOL outputs and do some standard renaming. Because
these are QOL indicators they remain in the same csv output with columns indicating year"""
df_0812 = pd.read_excel(
"./resources/ACS_PUMS/EDDT_ACS2008-2012.xls... | fa6d606ebeef142417f1ac47c18947d0de08065b | 3,647,989 |
def elastic_transform(image, alpha, sigma, random_state=None):
"""Elastic deformation of images as described in [Simard2003]_.
.. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
Convolutional Neural Networks applied to Visual Document Analysis", in
Proc. of the International Confe... | e01660ecf753d7c33aa66786cf9f9db3b94cef49 | 3,647,991 |
import time
def convert_epoch_to_mysql_timestamp(epoch_timestamp):
"""
Converts a given epoch timestamp in seconds to the MySQL datetime format.
:param epoch_timestamp: The timestamp as seconds since epoch time
:return: The MySQL timestamp string in the format 'Y-m-d HH:MM:SS'
:rtype: str
"""... | 15647a816e638e7668e2e830ebc4f1c6fdb2f030 | 3,647,992 |
import six
def _ensure_eventlet(func):
"""Decorator that verifies we have the needed eventlet components."""
@six.wraps(func)
def wrapper(*args, **kwargs):
if not _utils.EVENTLET_AVAILABLE or greenthreading is None:
raise RuntimeError('Eventlet is needed to wait on green futures')
... | 4193b8d68ae45c13a3a88b1e4c7caba5572f16cf | 3,647,993 |
def check_public_key(pk):
""" Checks if a given string is a public (or at least if it is formatted as if it is).
:param pk: ECDSA public key to be checked.
:type pk: hex str
:return: True if the key matches the format, raise exception otherwise.
:rtype: bool
"""
prefix = pk[0:2]
l = le... | 120b3e88a96db45e5e4df0996414448da8b84462 | 3,647,995 |
def empty_tree(input_list):
"""Recursively iterate through values in nested lists."""
for item in input_list:
if not isinstance(item, list) or not empty_tree(item):
return False
return True | 1dceb351aac4db23b57394a531db38a3edf61a8c | 3,647,996 |
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