content
stringlengths 39
9.28k
| sha1
stringlengths 40
40
| id
int64 8
710k
|
|---|---|---|
def is_complete(self):
""" Returns if the task is complete
"""
return self.status == "DONE" | 239d0e7dae32f1171a38ecd40fb648b724280fd7 | 503,853 |
def mode(lst):
"""Calculates the mode of a list"""
return max(set(lst), key=lst.count) | 6bf4393a3e8b3904d0c06fee483e7ca1338af12a | 80,701 |
import requests
def read_url(url: str) -> str:
"""
Return url contents.
:param url: URL for request
:return: return response content string
"""
cal_data = requests.get(url).text
return cal_data | efe617722ddde37b2ba5e39eca3d3bdfa311f015 | 572,525 |
from typing import Dict
from typing import Any
def response_state_from_mediation_record(record: Dict[str, Any]):
"""Maps from acapy mediation role and state to AATH state"""
state = record["state"]
mediator_states = {
"request": "request-received",
"granted": "grant-sent",
"denied": "deny-sent",
}
recipient_states = {
"request": "request-sent",
"granted": "grant-received",
"denied": "deny-received",
}
# recipient
if record["role"] == "client":
return recipient_states[state]
# mediator
else:
return mediator_states[state] | 15062fc26f13d907299793df692bf1e39932691c | 641,733 |
def in_to_cm(inches):
"""
Convert inches to centimeters
"""
return inches * 2.54 | dd774bcd1de1aa8c6d5e7f8123bbe2b0e6a0892c | 223,589 |
def index_union(df_src, df_target, use_target_names=True):
"""
Create the union of the indices for the two Pandas DataFrames.
This combines the "rows" of the two indices, so the index-types
must be identical.
:param df_src: Pandas Series or DataFrame.
:param df_target: Pandas Series or DataFrame.
:param use_target_names:
Boolean whether to use the index-names
from `df_target` (True) or `df_src` (False).
:return: Pandas Index.
"""
# This is not a "deep" type comparison. Two MultiIndex could be different.
assert (type(df_src.index) == type(df_target.index))
# Create the union of the indices.
# This does not copy the index-names.
idx = df_src.index.union(df_target.index)
if use_target_names:
# Use the index-names from the target.
# This is similar to Pandas' reindex.
idx.names = df_target.index.names
else:
# Use the index-names from the source.
idx.names = df_src.index.names
return idx | d69e8714405a6ee55f5e5b14c5e4f069e67b7b87 | 605,358 |
def coalesce_dates(dates):
"""
Coalesces all date pairs into combined date pairs that makes it easy to find free time gaps.
>>> from date_collapse import coalesce_dates
>>> dates = [(1,4),(2,8),(12,16),(16,21)]
>>> cdates = coalesce_dates(dates)
>>> print(cdates)
[(1, 8), (12, 21)]
>>> dates = [(1,4),(2,8),(8,10),(12,16),(16,21),(21,31)]
>>> cdates = coalesce_dates(dates)
>>> print(cdates)
[(1, 10), (12, 31)]
"""
parsed_dates = []
for date in dates:
parsed_dates.extend([(date[0], 1),(date[1], -1)])
parsed_dates.sort(key = lambda d: d[0])
count = 0
coalesced = []
current_block = [None, None]
for date in parsed_dates:
if count == 0:
if not coalesced or (coalesced[-1][1] != date[0]):
current_block = [date[0], None]
else:
coalesced.pop()
count += date[1]
if count == 0:
current_block[1] = date[0]
coalesced.append((current_block[0], current_block[1]))
return coalesced | 161ef92c6c8946a277e11504cb3dee1082582123 | 40,337 |
def _gr_text_to_no(l, offset=(0, 0)):
"""
Transform a single point from a Cornell file line to a pair of ints.
:param l: Line from Cornell grasp file (str)
:param offset: Offset to apply to point positions
:return: Point [y, x]
"""
x, y = l.split()
return [int(round(float(y))) - offset[0], int(round(float(x))) - offset[1]] | b07a7587cc82ecc9b6a8796e0d09119086092ad7 | 668,559 |
def source_to_locale_path(path):
"""
Return locale resource path for the given source resource path.
Locale files for .pot files are actually .po.
"""
if path.endswith("pot"):
path = path[:-1]
return path | 6a2ca315e7bb2dfe03dede7c2be06602ff47cb40 | 685,385 |
def check_field(vglist,key,value):
"""
Accepts a list of dicts; for each dict, check the the specified key contains the specified value.
"""
for row in vglist:
assert row[key] == value, \
'** Error: Field: %s contains value: %s, expected: %s' % (str(key),str(row[key]),str(value))
return True | 92ba6c26b47e2f96176b4593d89c2b509a004e2f | 269,721 |
def det(x):
"""
Return the determinant of ``x``.
EXAMPLES::
sage: M = MatrixSpace(QQ,3,3)
sage: A = M([1,2,3,4,5,6,7,8,9])
sage: det(A)
0
"""
return x.det() | 8e74bb3c1f8c99ea25b4868690813b11ac47087f | 660,614 |
def calculate_overlap(a: str, b: str) -> int:
"""
Calculates an overlap between two strings using Knuth–Morris–Pratt algorithm
"""
pi = [0] * (len(a) + len(b) + 1)
string = b + '#' + a
for i in range(len(string)):
if i == 0:
continue
j = pi[i - 1]
while j > 0 and string[i] != string[j]:
j = pi[j - 1]
if string[i] == string[j]:
j += 1
pi[i] = j
return pi[-1] | 3f2f902d8a9b8d23d69cfbd502cc4d75723e55c5 | 95,165 |
def is_file(obj):
""" Check if the given object is file-like. """
return hasattr(obj, 'flush') and hasattr(obj, 'readline') | df70bf8651ecfa7e9a2530178c9dda8cef87c787 | 490,614 |
def get_request_id_or_none(filename):
"""Get a unique id out of a filename."""
if filename.endswith(".json"):
return int(filename.replace(".", "").replace("json", "")) | c5889e3647025794822dc88cb22f8f05083b34f0 | 208,038 |
def is_markdown_cpp_src(ipynb_cell):
"""
True if a cell is markdown && multiline source code && C++
```'s wrap multiline code blocks
C++ source code blocks have C++ right after starting ```
"""
result = False
# Markdown
if 'markdown' == ipynb_cell['cell_type']:
src = ipynb_cell['source'].strip()
# Multiline code block within ```'s
if (src.startswith('```')
and src.endswith('```')):
# check C++ right after ```
if "c++" in src.splitlines()[0].lower():
result = True
return result | 2bfcc92b54b9e4645f32422c6909ca33f3bd4add | 525,624 |
def _assign_axis(attributes, axis):
"""Assign the given axis to the _metpy_axis attribute."""
existing_axes = attributes.get('_metpy_axis', '').split(',')
if ((axis == 'y' and 'latitude' in existing_axes)
or (axis == 'latitude' and 'y' in existing_axes)):
# Special case for combined y/latitude handling
attributes['_metpy_axis'] = 'y,latitude'
elif ((axis == 'x' and 'longitude' in existing_axes)
or (axis == 'longitude' and 'x' in existing_axes)):
# Special case for combined x/longitude handling
attributes['_metpy_axis'] = 'x,longitude'
else:
# Simply add it/overwrite past value
attributes['_metpy_axis'] = axis
return attributes | a1586cbdc618a7c958a2b7ee3d9296a63bb99647 | 498,767 |
import re
def get_valid_filename(s):
"""
Return the given string converted to a string that can be used for a clean
filename. Remove leading and trailing spaces; convert other spaces to
underscores; and remove anything that is not an alphanumeric, dash,
underscore, or dot.
>>> get_valid_filename("john's portrait in 2004.jpg")
'johns_portrait_in_2004.jpg'
Function sourced from Django 2.1
https://github.com/django/django/blob/master/django/utils/text.py
"""
s = str(s).strip().replace(' ', '_')
return re.sub(r'(?u)[^-\w.]', '', s) | 6561030d1e444e8fd5121636ec08d561433ce73c | 623,635 |
def str_to_hex(string):
"""Convert given string to hex string."""
return ":".join("{:02x}".format(ord(c)) for c in string) | f84337f96970faafee0283748581f5e5654c71a7 | 502,565 |
import math
def root_mean_square(x):
"""
Root mean square (RMS) is the square root of the sum of the squares of values in a list
divided by the length of the list. It is a mean function that measures the magnitude
of values in the list regardless of their sign.
Args:
x: A list or tuple of numerical objects.
Returns:
A float of the root mean square of the list.
Examples:
>>> root_mean_square([-1, 1, -1, 1])
1.0
>>> root_mean_square((9, 4))
6.96419413859206
>>> root_mean_square(9)
Traceback (most recent call last):
...
TypeError: root_mean_square() expects a list or a tuple.
"""
if type(x) not in [list, tuple]:
raise TypeError('root_mean_square() expects a list or a tuple.')
squares = []
squares = [pow(num, 2) for num in x]
sum_of_squares = sum(squares)
ms = sum_of_squares / len(x)
rms = math.sqrt(ms)
return(rms) | 9a594179fd873e8bd5dd439a427ed917cebcd05c | 96,463 |
def convert_roman(ch):
"""
converts a roman numeral character into the respective integer
"""
ret = -1
if ch == 'I':
ret = 1
elif ch == 'V':
ret = 5
elif ch == 'X':
ret = 10
elif ch == 'L':
ret = 50
elif ch == 'C':
ret = 100
elif ch == 'D':
ret = 500
elif ch == 'M':
ret = 1000
return ret | 912e82046733ca39ba7be112a13d82fba60f9980 | 245,387 |
import hashlib
import json
def treehash(var):
"""
Returns the hash of any dict or list, by using a string conversion
via the json library.
"""
return hashlib.sha256(json.dumps(var, sort_keys=True).encode("utf-8")).hexdigest() | e196a8d601b59a893bf05bc903aa7e3af4927cef | 696,038 |
def IsArray(obj):
"""Determine if an object is an array"""
return isinstance(obj, (list, tuple)) | 815e212c276b6c6dbbf15029b5fa2cdf1754c8a4 | 363,806 |
def get(api_key, types, p1, p2, n_threads=20, radius=180, all_places=False):
"""
:param api_key: str; api key from google places web service
:param types: [str]; placetypes
:param p1: (float, float); lat/lng of a delimiting point
:param p2: (float, float); lat/lng of a delimiting point
:param n_threads: int; number of threads to use
:param radius: int; meters;
:param all_places: bool; include/exclude places without populartimes
:return: see readme
"""
params = {
"API_key": api_key,
"radius": radius,
"type": types,
"n_threads": n_threads,
"all_places": all_places,
"bounds": {
"lower": {
"lat": min(p1[0], p2[0]),
"lng": min(p1[1], p2[1])
},
"upper": {
"lat": max(p1[0], p2[0]),
"lng": max(p1[1], p2[1])
}
}
}
return params | 173e9a2367250d3744db4dfe77b486965ea0a62a | 357,720 |
def atf_fc_uri(article_uri):
"""URI of feature collection"""
return article_uri+"/featurecollection" | c725642309955795b5558b638146b782c7f51d0b | 63,018 |
import ast
def get_ast_node_name(x):
"""Return human-readable name of ast.Attribute or ast.Name. Pass through anything else."""
if isinstance(x, ast.Attribute):
# x.value might also be an ast.Attribute (think "x.y.z")
return "%s.%s" % (get_ast_node_name(x.value), x.attr)
elif isinstance(x, ast.Name):
return x.id
else:
return x | c00c31638f4789ed45741b4744f290c1822e0a7f | 162,221 |
def element_located_to_be_selected(locator):
"""An expectation for the element to be located is selected.
locator is a tuple of (by, path)"""
def _predicate(driver):
return driver.find_element(*locator).is_selected()
return _predicate | 41eca03c731f50aa71692beb407d7c8001945a67 | 320,439 |
def greet(name):
"""Greets you by name!"""
return 'Hello {name}!'.format(name=name) | 1822209df3852c11f3a6731c9ddbb1ee4c2c5286 | 373,232 |
def prompt_for_password(prompt=None):
"""Fake prompt function that just returns a constant string"""
return 'promptpass' | 49499970c7698b08f38078c557637907edef3223 | 2,777 |
def get_representative(location: str) -> tuple[str, str]:
"""
Split the location into numeric (row) and alphabet (column).
Parameters
----------
location: str
A string use to locate the position on the board.
Returns
-------
row: str
The row representative.
column: str
The column representative.
"""
column = ''
row = ''
for c in location:
if c.isalpha():
column += c
elif c.isnumeric():
row += c
return column, row | b2c973d6e9e5180761fc393a388fa424d7e016dc | 142,315 |
from typing import List
def create_id_access_token_header(id_access_token: str) -> List[str]:
"""Create an Authorization header for passing to SimpleHttpClient as the header value
of an HTTP request.
Args:
id_access_token: An identity server access token.
Returns:
The ascii-encoded bearer token encased in a list.
"""
# Prefix with Bearer
bearer_token = "Bearer %s" % id_access_token
# Encode headers to standard ascii
bearer_token.encode("ascii")
# Return as a list as that's how SimpleHttpClient takes header values
return [bearer_token] | db2450d58c9a8292b80f2d5bbf79cf88c87c2637 | 314,639 |
def char_to_word_index(ci, sequence):
"""
Given a character-level index (offset),
return the index of the **word this char is in**
"""
i = None
for i, co in enumerate(sequence.char_offsets):
if ci == co:
return i
elif ci < co:
return i - 1
return i | ecdfafd0c301d98d3f600b34022eb2e605a6e1da | 637,956 |
def is_letter_guessed_correctly(player_input, secret_word):
""" check whether the (guessed_letter/ player_input) is in the secret_word
Arguments:
player_input (string): the player_input
secret_word (string): the secret, random word that the player should guess
Returns:
boolean: True if the player_input is in the secret_word; False otherwise
"""
for i in secret_word:
if player_input == i:
return True
return False | 2fd0840300ae16aba4ba1d997c4cd98343778f74 | 619,247 |
def my_data_pypath(tmpdir_factory):
"""temporary directory for storing test data"""
pypath = tmpdir_factory.mktemp('singlecell_data', numbered=False)
return pypath | c4057f32008c064a5b703e80469d68d0afaf0b2b | 371,588 |
def isMissionary(info, iReligion):
"""
Returns True if <info> is the Missionary for <iReligion>.
"""
return info.getReligionSpreads(iReligion) | 5331f459cb57f116443c1837d62df8143bb9a133 | 92,794 |
def default_flist_reader(flist):
"""
This reader reads a filelist and return a list of paths.
:param flist: path of the flislist to read. The flist format should be:
impath label, impath label, ...(same to caffe's filelist)
:returns: Returns a list of paths (the examples to be loaded).
"""
imlist = []
with open(flist, "r") as rf:
for line in rf.readlines():
impath, imlabel = line.strip().split()
imlist.append((impath, int(imlabel)))
return imlist | 216af3ae7e7fbdf7215e4b554a070cabc99ced48 | 452,007 |
import uuid
def generate_id(length: int = 18):
"""
Generate a pseudo-random ID.
:param length: Length of the requested ID.
:return: Generated id.
"""
return str(uuid.uuid4().hex)[:length] | 3b685fd72c38248e1420806f2968fba4ec0db3d0 | 222,610 |
import json
def process_config(json_file):
"""Load configuration as a python dictionary.
Args:
json_file (str): Path to the JSON file.
Returns:
dict:
"""
# parse the configurations from the config json file provided
with open(json_file, 'r') as config_file:
config_dict = json.load(config_file)
return config_dict | 2190525330bb319547fa143ea9e78bbddf052ffa | 646,660 |
def is_in_combat(character):
"""
Returns true if the given character is in combat.
Args:
character (obj): Character to determine if is in combat or not
Returns:
(bool): True if in combat or False if not in combat
"""
return bool(character.db.combat_turnhandler) | 0aaa73d15df3019df8d9bf0dfcc1329e386d27b5 | 589,933 |
def _solve_method_3(arr):
"""
https://github.com/JaredLGillespie/HackerRank/blob/master/Python/minimum-swaps-2.py
Couldn't really figure it out via my method, but I found this solution that
was very small and I understand.
One thing I did was factor out a portion of it into a function call, for
easier understanding. A lot of times, of course, in programming, one can
pack a lot of information in one line of code, but it's good to factor that
out sometimes.
"""
def _swap_2_elements(arr, first_index, second_index):
"""
Swaps 2 positions of the array.
This function is different from my `update_entries` function above,
only in that my function operates on an augmented array, rather than
a bare array.
"""
temp = arr[first_index]
arr[first_index] = arr[second_index]
arr[second_index] = temp
return arr
N = len(arr)
swaps = 0
for i in range(0, N - 1):
while arr[i] != i + 1:
first_index = arr[i] - 1
second_index = i
arr = _swap_2_elements(arr, first_index, second_index)
swaps += 1
return swaps | fca3a8ace9f026eed0d56a1b80c56073842f3249 | 687,463 |
def extract_rules(lines):
""" Extracts rules from file. Rules are structured in nested dictionaries.
The outer dictionary has the color as key with a dictionary as value that contains the bag colors and amounts.
The inner dictionary has the bag color as key and the amount as value.
:param lines: Lines from input file
:return: dictionary
"""
rules = {}
# iterate over every line
for line in lines:
rule = {}
# get key and value
key, value = line.split('contain ')
key = key.split(' bags')[0]
# if bag doesn't contain other bags make value None
if value == 'no other bags.':
rules[key] = None
else:
# add bags to value
values = value.split(', ')
for v in values:
v = v.split(' ')
rule['{} {}'.format(v[1], v[2])] = int(v[0])
rules[key] = rule
return rules | 5e57f8df21eae3c3778bd2be3dba6d4aedb8dc7b | 513,043 |
from typing import List
def missing_number(nums: List[int]) -> int:
"""Given an array containing n distinct numbers
taken from 0, 1, 2, ..., n, find the one that
is missing from the array.
From `leetcode <https://leetcode.com/problems/missing-number/>`
:param nums: {List[int]} 0, 1, 2, ..., n
:return: {int} missing number in array
"""
nums.sort()
num = nums[0]
length = len(nums)
if length == 1:
return num - 1 if num > 0 else num + 1
if 0 not in nums:
return 0
for i in range(1, length):
num = nums[i - 1] + 1
if nums[i] != num:
break
num += 1
return num | 6dd75d9e596258fab489691e4720e391024139a6 | 124,521 |
def _get_part(pointlist, strokes):
"""Get some strokes of pointlist
Parameters
----------
pointlist : list of lists of dicts
strokes : list of integers
Returns
-------
list of lists of dicts
"""
result = []
strokes = sorted(strokes)
for stroke_index in strokes:
result.append(pointlist[stroke_index])
return result | 7f2c96945d39b7704ddefed746c358ee6b41a667 | 454,883 |
def parse_list_file(file):
"""
parses a text file with a list, one string per row
:param file: list file to be parsed (strings, one per row)
:return: a list of strings
"""
# get rows of file
rows = [row.strip() for row in file.splitlines()]
# remove any empty rows
rows = [_f for _f in rows if _f]
# return only unique rows
rows = list(set(rows))
return rows | 144303456b58f215208171b2ed88bb958d760464 | 215,901 |
def make_obj_list(obj_or_objs):
"""This method will take an object or list of objects and ensure a list is
returned.
Example:
>>> make_obj_list('hello')
['hello']
>>> make_obj_list(['hello', 'world'])
['hello', 'world']
>>> make_obj_list(None)
[]
"""
if not obj_or_objs:
return []
if not isinstance(obj_or_objs, (list, tuple)):
return [obj_or_objs]
return obj_or_objs | d65407167714d02c63ee8a784e688668711f3b75 | 169,888 |
def merge(items1, items2):
"""Merge given lists of items, each assumed to already be in sorted order,
and return a new list containing all items in sorted order.
Running time: O(n) Passes over each element once
Memory usage: O(n) Makes a new list for all the elements
"""
ind_1, ind_2 = 0, 0
new_list = []
# Repeat until one list is empty
while ind_1 <= len(items1) - 1 and ind_2 <= len(items2) - 1:
# Find minimum item in both lists and append it to new list
if items1[ind_1] <= items2[ind_2]:
new_list.append(items1[ind_1])
ind_1 += 1
else:
new_list.append(items2[ind_2])
ind_2 += 1
# Append remaining items in non-empty list to new list
if ind_1 <= len(items1) - 1:
new_list.extend(items1[ind_1:])
elif ind_2 <= len(items2) - 1:
new_list.extend(items2[ind_2:])
return new_list | 3fa477a93d3aed5337a2b62a516b653b88929d30 | 623,441 |
def select_group_nodes(graph, group):
"""Select nodes from a networkx graph based on a group.
Args:
graph (networkx.Graph): Networkx graph object.
group (str): Group name.
Returns:
list: List of networkx nodes that are of the specified group.
"""
nodes = [node for node in graph.nodes(data=True) if group < 0 or node[1]["group"] == group]
return nodes | b9d451ebaa81835275ae243684e2cbb86c66f34c | 186,898 |
def index_to_angle(i):
""" Takes an index into a LIDAR scan array and returns the associated
angle, in degrees. """
return -135.0 + (i / 1081.0) * 0.25 | 63f99389ef532a662d5ea3a3a173a1ba8dd9df09 | 43,626 |
def compose1(f, g):
"""Return a function that composes f and g.
f, g -- functions of a single argument
"""
def h(x):
return f(g(x))
return h | 8d4829a787b78826f1c03d5e9621fb7d6a6ea56c | 647,491 |
def getinstancepublicip(instance):
"""Given a JSON instance, get its public IP address"""
if "PublicIpAddress" in instance:
return instance["PublicIpAddress"]
else:
return "" | f265f567ad6fbea5889e1ad9b710fa89834a8ff0 | 417,966 |
def create_flickr_url(photo, size):
"""Create a Flickr image url based on the given photo object and size (in Flickr terms)."""
# pylint: disable=C0301
return "https://farm{farm}.staticflickr.com/{server}/{id}_{secret}_{size}.jpg".format(
size=size, **photo
) | 1ec25f0d7300ea85ed6bafd52d66a8cc1fbfc874 | 414,935 |
import torch
def product_of_gaussians(mus, sigmas_squared):
"""Compute mu, sigma of product of gaussians.
Args:
mus (torch.Tensor): Means, with shape :math:`(N, M)`. M is the number
of mean values.
sigmas_squared (torch.Tensor): Variances, with shape :math:`(N, V)`. V
is the number of variance values.
Returns:
torch.Tensor: Mu of product of gaussians, with shape :math:`(N, 1)`.
torch.Tensor: Sigma of product of gaussians, with shape :math:`(N, 1)`.
"""
sigmas_squared = torch.clamp(sigmas_squared, min=1e-7)
sigma_squared = 1. / torch.sum(torch.reciprocal(sigmas_squared), dim=0)
mu = sigma_squared * torch.sum(mus / sigmas_squared, dim=0)
return mu, sigma_squared | 27a59cf57e70c1056ebe5703be1d36aa7e69af67 | 254,018 |
import re
def get_links(text):
"""
It will return website links from the text
:param text: string
:return: list
example
>>> message = 'http://twitter.com Project URL: https://app.grepsr.com/app/project/message/70454'
>>> get_links(message)
['http://twitter.com', 'https://app.grepsr.com/app/project/message/70454']
"""
result = re.findall(r"(?P<url>https?://[^\s]+)", text)
return result | c0cb6c5b499db48c553ba76af5044b032547ba34 | 375,223 |
import re
def baseOfBaseCode(baseCode):
"""
Return the base (jrnlCode) of the baseCode
>>> print baseOfBaseCode("IJP.001")
IJP
>>> print baseOfBaseCode("IJP001")
IJP
>>> print baseOfBaseCode("JOAP221")
JOAP
>>> print baseOfBaseCode("ANIJP-IT.2006")
ANIJP-IT
>>> print baseOfBaseCode("anijp-it.2006")
ANIJP-IT
"""
retVal = re.split("\.|[0-9]", baseCode.upper())
return retVal[0] | 9597272d4ffa6f1b6a74a7beff50e1197cda0c54 | 77,856 |
def non_content_line(line):
"""
Returns True iff <line> represents a non-content line of an Extended CSV
file, i.e. a blank line or a comment.
:param line: List of comma-separated components in an input line.
:returns: `bool` of whether the line contains no data.
"""
if len(line) == 0:
return True
elif len(line) == 1:
first = line[0].strip()
return len(first) == 0 or first.startswith('*')
else:
return line[0].strip().startswith('*') | 8f094f678fedb8307f3ab78a8e3b15b7d35f7497 | 419,763 |
import re
def _extract_from_arn(arn, position):
"""
Helper Function to extract part of an ARN
:param arn: Arn to extract from
:param position: Position in Arn of interest
:return: String containing value at requested position
"""
return re.findall("(.*?):", arn)[position] | b2b19bd1b29a99578115df95172211579d112c90 | 347,456 |
def get_dgs(align_dg_dict):
"""
Function that creates inverse dictionary of align_dg_dict
align_dg_dict: dict. Dictionary of alignments and clustering DG assignments
Returns dg_align_dict: dict, k=dg_id, v=[alignids]
align_dg_dict comes from get_spectral(graph) or get_cliques(graph)
"""
dgs_list = set(align_dg_dict.values()) #list of all duplex groups
dg_align_dict = {}
for dg in dgs_list:
dg_align_list =[x for (x,y) in align_dg_dict.items() if y == dg]
dg_align_dict[dg] = dg_align_list
return dg_align_dict
#test case: | 85bca47657c83d2b308d38f05d1c88d9a78fa448 | 705,451 |
import random
def choix(liste):
"""
Renvoie un élément de la liste ``liste`` choisi (pseudo)aléatoirement et de manière équipropable
Arguments:
liste (int): La liste dans laquelle on choisit un élément.
"""
return random.choice(liste) | 01254d22ee62528e41fcaa75ef28d4c2c3683d73 | 493,030 |
import hmac
def PRF512(K: bytes, A: bytes, B: bytes) -> bytes:
"""
Implementation of PRF-512, as defined in IEEE Std 802.11-2007 Part 11,
section 8.5.1.1. Returns a 512-bit value.
:param K: key
:param A: a unique label for each different purpose of the PRF
:param B: binary input to the PRF
"""
num_bytes = 64
R = b''
Y = b'\x00'
for i in range((num_bytes * 8 + 159) // 160 + 1):
R += hmac.new(K, A + Y + B + bytes([i]), 'sha1').digest()
return R[:num_bytes] | 770f6b90ccc8e0ee037232872191d1e94d4389b2 | 169,272 |
def seconds_to_human(seconds):
"""Convert seconds to a human readable format.
Args:
seconds (int): Seconds.
Returns:
str: Return seconds into human readable format.
"""
units = (
('week', 60 * 60 * 24 * 7),
('day', 60 * 60 * 24),
('hour', 60 * 60),
('min', 60),
('sec', 1)
)
if seconds == 0:
return '0 secs'
parts = []
for unit, div in units:
amount, seconds = divmod(int(seconds), div)
if amount > 0:
parts.append('{} {}{}'.format(
amount, unit, '' if amount == 1 else 's'))
return ' '.join(parts) | 7aea36c236aad9bec1927b4704f322b19a9de308 | 577,125 |
def get_user_id(user):
"""
JavaScript-friendly user-id.
"""
if user.id:
return user.id
return 'null' | e9b33099c1b313c81b5a9dcfb35ddcfd5127d6a8 | 385,846 |
import itertools
def all_combinations(items):
"""Generate combinations of variable size.
:param items: Sequence of items.
:return: List of all combinations.
:rtype: :py:class:`list`
"""
combinations = []
for rsize in range(1, len(items) + 1):
combinations.extend(list(itertools.combinations(items, rsize)))
return combinations | fbb697d75edb4452addb78803e5d48969ba6b250 | 404,479 |
def shrink_path(full_path: str, max_len: int = 70) -> str:
"""
Shrinks the path name to fit into a fixed number of characters.
Parameters
-----------
full_path: String containing the full path that is to be printed. \n
max_len: Integer containing the maximum length for the final path. Should be
more than 10 characters. Default: 15 \n
Returns
--------
String containing path after shrinking it. Will be at most `max_len` characters
in length.
"""
if len(full_path) <= max_len:
# Directly return the path if it fits within the maximum length allowed.
return full_path
allowed_len = max_len - 6
return f'{full_path[:int(allowed_len / 2)]}......{full_path[-int(allowed_len / 2):]}' | 36bfcc9b3216ef84cc41ea550f8c0176518e0fb6 | 442,532 |
def char(int):
"""
CHAR int
outputs the character represented in the ASCII code by the input,
which must be an integer between 0 and 255.
"""
return chr(int) | 7fa90e06d9b4498a1603fa2439776789c98bd2be | 675,039 |
def static_isinstance(obj, obj_type):
"""
A static implementation of isinstance() - instead of comparing an object and a class, the object is compared to a
string, like 'pyiron.base.job.generic.GenericJob' or a list of strings.
Args:
obj: the object to check
obj_type (str/list): object type as string or a list of object types as string.
Returns:
bool: [True/False]
"""
if not hasattr(obj, '__mro__'):
obj = obj.__class__
obj_class_lst = ['.'.join([subcls.__module__, subcls.__name__]) for subcls in obj.__mro__]
if isinstance(obj_type, list):
return any([obj_type_element in obj_class_lst for obj_type_element in obj_type])
elif isinstance(obj_type, str):
return obj_type in obj_class_lst
else:
raise TypeError() | c18184293cbad98f3eda6c1450674f6a9d1079c1 | 532,406 |
def calculate_error(t_k, y_k):
"""
Beda antara data target dengan prediksi model
args:
- t_k: target pada hidden layer k
- y_k: hasil prediksi pada hidden layer k
"""
return t_k - y_k | a8fe6b575b47323b7cf7db44ab10918175fd1e1b | 457,079 |
def NumWord(number):
"""
Just a bunch of numbers in word-form. Returns the 'number'th element which happens to be that number as a word. works for 0-99 should be good enough for a clock.
"""
Words=["zero",
"one","two","three","four","five","six","seven","eight","nine","ten",
"eleven","twelve","thirteen","fourteen","fifteen","sixteen","seventeen","eighteen","nineteen","twenty"
"twenty-one","twenty-two","twenty-three","twenty-four","twenty-five","twenty-six","twenty-seven","twenty-eight","twenty-nine","thirty",
"thirty-one","thirty-two","thirty-three","thirty-four","thirty-five","thirty-six","thirty-seven","thirty-eight","thirty-nine","forty",
"forty-one","forty-two","forty-three","forty-four","forty-five","forty-six","forty-seven","forty-eight","forty-nine","fifty",
"fifty-one","fifty-two","fifty-three","fifty-four","fifty-five","fifty-six","fifty-seven","fifty-eight","fifty-nine","sixty",
"sixty-one","sixty-two","sixty-three","sixty-four","sixty-five","sixty-six","sixty-seven","sixty-eight","sixty-nine","seventy",
"seventy-one","seventy-two","seventy-three","seventy-four","seventy-five","seventy-six","seventy-seven","seventy-eight","seventy-nine","eighty",
"eighty-one","eighty-two","eighty-three","eighty-four","eighty-five","eighty-six","eighty-seven","eighty-eight","eighty-nine","ninety"]
return Words[number] | 3f141832a8a6ec16d056e055704c4420f5dfb8cf | 377,616 |
def getIntervalStr( rg, label ):
""" Converts and stores range along string as string
Parameters:
* rg (list, array, tuple): array object with three elements [start, stop, step]
* label (str): label to be concatenated with range info
Returns:
* str: concatenated label and range info
"""
if len(rg) < 3:
return
str = label + " range: "+ repr(rg[0]) + "-" + repr(rg[1])
str = str + " (step " + repr(rg[2]) + ")"
return str | 4f7585767151cbac636b26c9d01212ddbdd167b8 | 499,329 |
import json
def get_value(json_file, key):
"""
return the value associated with the key in the specified json file
:param json_file: the json file where the key and value present
:param key: the key where the value is associated with
:returns: 0 if there is not key found in the json_file. else return the
value associated with the key
"""
count = 0
with open(json_file, 'r') as f:
data = json.load(f)
if key not in data:
return count
count = data[key]
return count | a97f8e5cb714061cdc1551cf5f9fb49280354471 | 164,597 |
def unquote(value):
"""Removes left most and right most quote for str parsing."""
return value.lstrip('"').rstrip('"') | fe38a7e2786783a11e0f39886517c8b567084e49 | 549,358 |
def one_of_k_encoding_unk(x, allowable_set):
"""
taken from https://github.com/thinng/GraphDTA
function which one hot encodes x w.r.t. allowable_set with one bit reserved for elements not in allowable_set
x:
element from allowable_set
allowable_set: list
list of all known elements
"""
if x not in allowable_set:
x = allowable_set[-1]
return list(map(lambda s: x == s, allowable_set)) | 1ccd42a1d4f27e09baedac0e5cdf43ca8871a58a | 618,016 |
def get_iwp_label_name( iwp_label, shortened_flag=False ):
"""
Retrieves a name for the supplied IWP label. May be a shortened nickname
for readability or the full label identifier depending on the caller's needs.
Takes 1 argument:
iwp_label - IWP label to extract a name from.
shortened_flag - Optional flag specifying whether a shortened name is requested.
If specified as True, the first six characters of the name are
returned, otherwise the entire identifier. If omitted, defaults
to False.
NOTE: Shortened names may not necessarily be unique!
Returns 1 value:
label_name - Name string associated with iwp_label.
"""
# the first six characters of an identifier seems fairly unique, since it
# covers a space of 6^62 combinations, and is short enough to overlay on
# XY slices without cluttering things.
#
# NOTE: no analysis has been done on Scalabel identifiers to understand
# their generation. use the full label when uniqueness must be
# guaranteed.
#
if shortened_flag == True:
return iwp_label["id"][:6]
return iwp_label["id"] | f7f2388e19fcd2fb07008d3615792e7271c4980e | 522,046 |
def time_interval_since(date_1, date_2):
""" Calculate seconds between two times
Arguments:
date_1 -- datetime object #1
date_2 -- datetime object #2
Output:
Num of seconds between the two times (with a sign)
"""
return (date_1 - date_2).total_seconds() | 6a5f11b0e2705a4e577e037ba43dfed6bda06be4 | 687,624 |
def adapt_format(item):
"""Javascript expects timestamps to be in milliseconds
and counter values as floats
Args
item (list): List of 2 elements, timestamp and counter
Return:
Normalized tuple (timestamp in js expected time, counter as float)
"""
timestamp = int(item[0])
counter_value = item[1]
return [timestamp*1000, float(counter_value)] | bc39c3b644bbf833a3288c520707d67c07e9cfb1 | 291,538 |
import pickle
def load_model(filename):
"""
Function to load an HMM model from a pickle file.
:param filename: full path or just file name where to save the variable
:type filename: str
:return: the trained HMM that was in the file
:rtype: object
"""
with open(filename, 'rb') as f:
model = pickle.load(f)
return model | 6a8c3dc590da4f299a17f1e3ffc7378e97be95ba | 114,276 |
def get_rpath_deps(pkg):
"""Return immediate or transitive RPATHs depending on the package."""
if pkg.transitive_rpaths:
return [d for d in pkg.spec.traverse(root=False, deptype=('link'))]
else:
return pkg.spec.dependencies(deptype='link') | 1664fd2e54b2b29cf615a365131c057d7eb261b7 | 669,704 |
def ProfondeurMoyenne(tree):
"""Retourne la hauteur moyenne de l'arbre tree."""
return tree.av_leaf_height() | a59c9ed83bdd7f5a337a0ba82441cf2154df82a7 | 94,481 |
def find_all_tiltgroups(fileList):
""" Find all unique ID codes for each tilt group in the dataset and return them as a list for use:
[ "tilt_id_1", "tilt_id_2", ... "tilt_id_n"]
"""
tilt_ids = []
for file in fileList:
filename_to_list = file.split("_")
tilt_id = filename_to_list[3]
if not tilt_id in tilt_ids:
tilt_ids.append(tilt_id)
print(" %s tilt groups found in dataset" % len(tilt_ids))
return tilt_ids | 1a26132a2ec7b8b9b7e0a4892266b31bcd0e3484 | 520,123 |
import psutil
def get_num_procs(njobs:int)->int:
"""
Small wrapper function used to get an integer number of cores, based on
the user selection via njobs:
- njobs = 0, set it to 1 core (serial)
- njobs > 0, set it to njobs cores (parallel)
- njobs < 0, set it to njobs * the number of physical cores as obtained by psutil.cpu_count
(This is useful for multi-socket setups, where psutil will only give the
number of cores on a single socket)
"""
if (njobs==0):
njobs=1
if (njobs<0):
procs=psutil.cpu_count(logical=False)*abs(njobs)
else:
procs=njobs
return procs | f026e4a748e25175f335eceebb2e709cb310bf5e | 317,876 |
import re
def hashtag(phrase, plain=False):
"""
Generate hashtags from phrases. Camelcase the resulting hashtag, strip punct.
Allow suppression of style changes, e.g. for two-letter state codes.
"""
words = phrase.split(' ')
if not plain:
for i in range(len(words)):
try:
if not words[i]:
del words[i]
words[i] = words[i][0].upper() + words[i][1:]
words[i] = re.sub(r"['./-]", "", words[i])
except IndexError:
break
return '#' + ''.join(words) | b6e7ab647330a42cf9b7417469565ce5198edd4f | 703,665 |
def get_device_name(doc):
"""
Finds device name in the document title
:param doc: docx Document instance
:return: device name as string
"""
found = False
for paragraph in doc.paragraphs:
if found:
title = paragraph.text
for word in str(title).split():
if any(char.isdigit() for char in word):
return word[0:20].replace(',', '').replace('*', '').replace('#', '')
if 'ЦЕЛЬ ИСПЫТАНИЙ' in paragraph.text or \
'Цель ИСПЫТАНИЙ' in paragraph.text or \
'ЦЕЛЬ РАБОТЫ' in paragraph.text:
found = True | e2b1201a6425b345f1e0c20d7d1afe5a8774aaa8 | 358,152 |
def is_number_offset(c_offset):
"""
Is the offset a number
"""
return 0x66 <= c_offset <= 0x6f | 6606048314047de7f59e77e01f48e438d4113159 | 34,107 |
def validate_higlass_file_sources(files_info, expected_genome_assembly):
"""
Args:
files_info(list) : A list of dicts. Each dict contains the
file's uuid and data.
expected_genome_assembly(str, optional, default=None): If provided,
each file should have this genome assembly. If it's not provided,
all of the files will be checked to ensure they have a matching
genome assembly.
Returns:
A dictionary with the following keys:
success(bool) : True if there were no errors.
current_genome_assembly(str): A string indicating the genome assembly of the files.
errors(str) : A string (or None if there are no errors)
"""
files_by_genome_assembly = {}
for file in files_info:
# Get the uuid.
uuid = file["uuid"]
# Get the file data.
data = file["data"]
if not data:
return {
"success" : False,
"errors" : "File {uuid} does not exist".format(uuid=uuid),
}
# Get the higlass_uid.
if "higlass_uid" not in data:
return {
"success" : False,
"errors" : "File {uuid} does not have higlass_uid".format(uuid=uuid)
}
# Get the genome_assembly.
if "genome_assembly" not in data:
return {
"success" : False,
"errors" : "File {uuid} does not have genome assembly".format(uuid=uuid)
}
if data["genome_assembly"] not in files_by_genome_assembly:
files_by_genome_assembly[data["genome_assembly"]] = []
files_by_genome_assembly[data["genome_assembly"]].append(uuid)
# Make sure all of the files have the same genome assembly.
human_readable_ga_listings = []
for ga in [g for g in files_by_genome_assembly if g != expected_genome_assembly]:
human_readable_ga_listings.append(
"{ga}: {uuids}".format(
ga=ga,
uuids=", ".join(files_by_genome_assembly[ga])
)
)
if len(files_info) > 0:
if expected_genome_assembly:
if expected_genome_assembly not in files_by_genome_assembly or \
len(files_by_genome_assembly.keys()) > 1:
return {
"success" : False,
"errors" : "All files are not {expected} genome assembly: {files_by_ga}".format(
expected = expected_genome_assembly,
files_by_ga = "; ".join(human_readable_ga_listings),
)
}
else:
if len(files_by_genome_assembly.keys()) > 1:
return {
"success" : False,
"errors" : "Files have multiple genome assemblies: {files_by_ga}".format(
expected = expected_genome_assembly,
files_by_ga = "; ".join(human_readable_ga_listings),
)
}
# Make sure we found a genome assembly.
if not (expected_genome_assembly or files_by_genome_assembly):
return {
"success" : False,
"errors": "No Genome Assembly provided or found in files."
}
# Everything is verified.
return {
"success" : True,
"errors": "",
"genome_assembly": expected_genome_assembly or list(files_by_genome_assembly.keys())[0]
} | 42124e5a3132861dc3a81b8751859630761b80d2 | 653,908 |
def is_file_wanted(f, extensions):
"""
extensions is an array of wanted file extensions
"""
is_any = any([f.lower().endswith(e) for e in extensions])
return is_any | c84250126c9700966248b969ded3121ae2c96764 | 26,558 |
import io
def s_map(p_string, domain, mapping):
"""
Replaces all characters of the `domain` in `p_string` with their
respective mapping in `mapping`. The length of the domain string
must be the same as the mapping string unless the mapping string
is empty or a single character, in which case all domain
characters will be either replaced or substituted with that mapping
character in the `p_string`.
:param p_string
The string whose characters in domain to substitute with their
respective mappings in `mapping`.
:param domain
The string of characters to replace in the `p_string`. If some
characters reappear, this will not affect the substitution process,
the extra characters are simply ignored.
:param mapping
The corresponding mapping of the `domain`. This must match the
length of the `domain` string, empty, or be a single character
to which all domain characters will be mapped to.
If any of `p_string`, `domain`, or `mapping` are None, this function
does nothing and simply returns `p_string`.
If len(mapping) != len(domain) and len(mapping) > 1, this function
raises a ValueError.
"""
if p_string is None or domain is None or mapping is None:
return p_string
res = io.StringIO()
# void mapping
if len(mapping) == 0:
for c in p_string:
if c not in domain:
res.write(c)
# surjective mapping
elif len(mapping) == 1:
for c in p_string:
if c in domain:
res.write(mapping)
else:
res.write(c)
# injective mapping
elif len(mapping) == len(domain):
for c in p_string:
pos = domain.find(c)
if pos != -1:
res.write(mapping[pos])
else:
res.write(c)
else:
raise ValueError("len(mapping) > 1 and len(mapping) != len(domain)")
return res.getvalue() | 032f46aab9be5443ea118184068406b97391d785 | 544,112 |
def train_supervised(
model,
input_tensor,
y_true,
loss_fn,
optimizer,
multiclass =False,
n_out = 1,
):
"""
Helper function to make forward and backward pass with minibatch.
Params
------
n_out (int, default = 1)
Dimensionality of output dimension. Leave as 1 for multiclass,
i.e. the output is a probability distribution over classes (e.g. MNIST).
"""
# Zero out grads
model.zero_grad()
y_pred = model(input_tensor)
#Note that if it's a multiclass classification (i.e. the output is a
# probability distribution over classes) the loss_fn
# nn.NLLLoss(y_pred, y_true) uses as input y_pred.size = (n_batch, n_classes)
# and y_true.size = (n_batch), that's why it doesn't get reshaped.
if multiclass:
loss = loss_fn(y_pred, y_true)
else: # Backprop error
loss = loss_fn(y_pred, y_true.view(-1, n_out).float())
loss.backward()
# Update weights
optimizer.step()
return loss | a17d0e883c281b7f5275dcc242e45c1537e8df57 | 418,692 |
def is_profile_flag(flag):
""" return true if provided profile flag is valid """
return flag in ('cpu', 'mem', 'block', 'trace') | 27931fe812840ffa935595d145b80c8073de0c70 | 611,537 |
def get_micro_secs(real_str: str) -> int:
"""
If there is a decimal point returns fractional part as an integer in units
based on 10 to minus 6 ie if dealing with time; real_str is in seconds and any factional
part is returned as an integer representing microseconds. Zero returned if no factional part
:param real_str: A string with optional fraction
:return: decimal part as integer based on micro units eg microseconds
"""
try:
p1, p2 = real_str.split(".")
except ValueError:
return 0
if p2:
p2 = f"{p2:0<6}"
return int(p2)
return 0 | 33f602bbfff3f18510609beaa7a2153b6ab35c9e | 619,303 |
from typing import List
def _get_difference_by(fields1: List[str], fields2: List[str]) -> List[str]:
"""Get list with common fields used to decimate and difference given Datasets
Args:
fields1: Fields of 1st Dataset
fields2: Fields of 2nd Dataset
Returns:
List with common fields to decimate and difference given Datasets
"""
difference_by = []
common_fields = set(fields1) & set(fields2)
for field in ["time", "satellite"]:
if field in common_fields:
difference_by.append(field)
return difference_by | f80b36788c895269e41f6b2a67fe8961c58fb73c | 38,453 |
def list_to_lowercase(l):
"""given a list of strings, make them all lowercase."""
return [x.lower() for x in l if type(x) is str] | c7dfee82d633e43d776dfb29924aa2c0f3b8a089 | 130,094 |
def playback_settings(framecount, days, sleep_sec):
"""Determine how many frames to skip based on days for total movie
playtime and sleep time between screen refreshes.
Returns tuple of (sec-to-sleep, frames-to-skip).
"""
sec_to_play = days * 24 * 60 * 60
frames_to_display = sec_to_play / sleep_sec
frames_to_skip = framecount / frames_to_display
adjusted_sleep_sec = sleep_sec
# If there aren't enough frames to last 'days',
# determine how long we should sleep in order to
# stretch it out.
if frames_to_skip < 1:
adjusted_sleep_sec = (sec_to_play / framecount)
frames_to_skip = 0
return (adjusted_sleep_sec, frames_to_skip) | 6faea961d4e1edc5d4470256ccf1c025205ba111 | 285,482 |
import torch
def mpjpe(predicted, target):
"""
Mean per-joint position error (i.e. mean Euclidean distance),
often referred to as "Protocol #1" in many papers.
"""
assert predicted.shape == target.shape
#l2_error = torch.mean(torch.norm((predicted - target), dim=len(target.shape) - 1), -1).squeeze()
#print('each joint error:', torch.norm((predicted - target), dim=len(target.shape) - 1))
#index = np.where(l2_error.cpu().detach().numpy() > 0.3) # mean body l2 distance larger than 300mm
#value = l2_error[l2_error > 0.3]
#print('Index of mean body l2 distance larger than 300mm', index, value)
return torch.mean(torch.norm((predicted - target), dim=len(target.shape) - 1)) | d4f0d8ec6f611e064a97b55fe990a21a519efde8 | 299,423 |
def check_number_threads(numThreads):
"""Checks whether or not the requested number of threads has a valid value.
Parameters
----------
numThreads : int or str
The requested number of threads, should either be a strictly positive integer or "max" or None
Returns
-------
numThreads : int
Corrected number of threads
"""
if (numThreads is None) or (isinstance(numThreads, str) and numThreads.lower() == 'max'):
return -1
if (not isinstance(numThreads, int)) or numThreads < 1:
raise ValueError('numThreads should either be "max" or a strictly positive integer')
return numThreads | a8d683d5c265f43567031e8c10314efad2411ec9 | 42,809 |
def get_nx_pos(g):
"""Get x,y positions from a NetworkX CONSTELLATION graph.
The returned dictionary is suitable to pass to networkx.draw(g, pos)."""
pos = {}
for n in g.nodes:
x = g.nodes[n]['x']
y = g.nodes[n]['y']
pos[n] = x, y
return pos | 5004ae7e3314cc95a691e14b4e3acb3487b50982 | 416,906 |
def sanitize(guid: str) -> str:
"""
Removes dashes and replaces ambiguous characters
:param guid: guid with either dashes or lowercase letters or ambiguous letters
:return: sanitized guid
"""
if not guid:
return ''
guid = guid.replace('-', '').upper().replace('I', '1').replace('L', '1').replace('O', '0')
return guid | fbb8c5e241e71f0919a55d89d805be6dfb5ac631 | 421,846 |
import json
def get_dict(raw_json: bytes) -> dict:
"""
In the database our dictionaries are stored as raw bytes,
this function returns them decoded and transformed back as dictionaries.
:param raw_json: A JSON represented as raw bytes string
:return: A dictionary from the decoded bytes
"""
return json.loads(raw_json.decode('utf-8')) | f911bcc5bcf4842a8c1692708b259fd9b546dca7 | 266,401 |
import math
def gauss_objective(x, amplitude, sigma, mu):
"""Gaussian distribution objective function.
This differs from many normal distribution equations online but the amplitude is required to
stretch the Gaussian upward to match your specific data size.
This equation was adapted from: https://stackoverflow.com/questions/19206332/gaussian-fit-for-python,
but also matches the first equation on the Gaussian function Wikipedia page: https://en.wikipedia.org/wiki/Gaussian_function,
and can be found elsewhere in this form as well."""
# return amplitude * (1 / (math.sqrt(2*math.pi*sigma**2))) * math.e**(-1 * (x-mu)**2 / 2*sigma**2)
# return amplitude * np.exp(-(x - mu)**2 / (2 * sigma**2))
return amplitude * math.e**(-(x - mu)**2 / (2 * sigma**2)) | 5d98c35a900361c44bd2110d3325f5b58b1a3ca2 | 420,965 |
def customiseFor34120(process):
"""Ensure TrackerAdditionalParametersPerDetRcd ESProducer is run"""
process.load("Geometry.TrackerGeometryBuilder.TrackerAdditionalParametersPerDet_cfi")
return process | 812279d18922ad1b3130447697f1010ac85b035e | 632,523 |
def generate_progress_bar(percentage):
"""Generates the progress bar that can be used in
a tweet
Args:
percentage (integer): Percentage progress to Christmas day
Returns:
string: Progress base using present emojis to visually
show the progress of reaching Christmas day
"""
presents = (percentage//10)*"\U0001F381"
empty_blocks = (10-percentage//10)*"🔲"
tweet = f"{presents}{empty_blocks} {percentage}%"
return tweet | 91fb40078eca888fe6fe18292269009ad08c8844 | 522,212 |
def search_key(usb_dict, ids):
"""
Compare provided IDs to the built USB dictionary. If found,
it will return the common name, otherwise returns the string
"unknown".
"""
vendor_key = ids[0]
product_key = ids[1]
vendor, vendor_data = usb_dict.get(vendor_key, ['unknown', {}])
product = 'unknown'
if vendor != 'unknown':
product = vendor_data.get(product_key, 'unknown')
return vendor, product | f2ef7128ca7fd18f45cc0ce2251aca3985f71c38 | 358,573 |
def metadata_from_box(box):
"""Return a metadata from box."""
return {"box_id": box.box_id,
"name": box.name,
"owner": box.owner,
"created_at": box.created_at} | 498a14d32f5b8ad3b50165477fa8aa6de44c6805 | 414,123 |
End of preview. Expand
in Dataset Viewer.
Subset of StarCoder2-Instruct's seed dataset. Used for experimentation.
Full dataset is found here: https://huggingface.co/datasets/bigcode/python-stack-v1-functions-filtered-sc2
- Downloads last month
- 8