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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
793f3e5587c2648c5cce05606c8889bfe6e2c709 | 1,835 | py | Python | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | 1 | 2017-12-31T18:09:06.000Z | 2017-12-31T18:09:06.000Z | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | null | null | null | argumentosSimple.py | sanxofon/basicnlp3 | 289415ec07fae69af04a8354bb9a9801cad564b8 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Hay diversas maneras de recibir informacin del usuario en la terminal
Para pedir informacin al usuario DURANTE la ejecucin de un script
podemos usar la funcin "raw_input" (python2) o "input" (python3) y guardar la respuesta en una variable
como se puede ver en el scri... | 42.674419 | 110 | 0.751499 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Hay diversas maneras de recibir información del usuario en la terminal
Para pedir información al usuario DURANTE la ejecución de un script
podemos usar la función "raw_input" (python2) o "input" (python3) y guardar la respuesta en una variable
como se puede ver en el ... | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
de6490d1c1a96e9c5dde617c3def839494915247 | 1,270 | py | Python | pyfiles/30yankeedoodle.py | StevenPZChan/pythonchallenge | 84c0e7458189f6d74e2cfbd169d854dae11d07a9 | [
"MIT"
] | null | null | null | pyfiles/30yankeedoodle.py | StevenPZChan/pythonchallenge | 84c0e7458189f6d74e2cfbd169d854dae11d07a9 | [
"MIT"
] | null | null | null | pyfiles/30yankeedoodle.py | StevenPZChan/pythonchallenge | 84c0e7458189f6d74e2cfbd169d854dae11d07a9 | [
"MIT"
] | null | null | null | import requests
from PIL import Image
header = {'Authorization': 'Basic cmVwZWF0OnN3aXRjaA==', }
response = requests.get('http://www.pythonchallenge.com/pc/ring/yankeedoodle.csv', headers=header)
with open('yankeedoodle.csv', 'wb') as f:
f.write(response.content)
with open('yankeedoodle.csv', 'r') as f:
data ... | 31.75 | 106 | 0.607874 | import requests
from PIL import Image
header = {'Authorization': 'Basic cmVwZWF0OnN3aXRjaA==', }
response = requests.get('http://www.pythonchallenge.com/pc/ring/yankeedoodle.csv', headers=header)
with open('yankeedoodle.csv', 'wb') as f:
f.write(response.content)
with open('yankeedoodle.csv', 'r') as f:
data ... | 0 | 0 | 0 | 0 | 0 | 187 | 0 | 0 | 23 |
bd035791d582d112d9724a0bb9dc759903dd6332 | 2,930 | py | Python | src/pm_proxy/dependents/npmjs_dependents.py | Yanivmd/maloss | af85ac202668da88d0b4a885386a1e56703e37c8 | [
"MIT"
] | 1 | 2022-01-29T16:13:06.000Z | 2022-01-29T16:13:06.000Z | src/pm_proxy/dependents/npmjs_dependents.py | Yanivmd/maloss | af85ac202668da88d0b4a885386a1e56703e37c8 | [
"MIT"
] | null | null | null | src/pm_proxy/dependents/npmjs_dependents.py | Yanivmd/maloss | af85ac202668da88d0b4a885386a1e56703e37c8 | [
"MIT"
] | 1 | 2022-01-29T16:13:07.000Z | 2022-01-29T16:13:07.000Z | import sys
import json
import argparse
# parse arguments
parser = argparse.ArgumentParser(prog="npmjs_dependents", description="Parse arguments")
parser.add_argument("name", help="Name of the package to query dependents")
parser.add_argument("-o", "--outfile", help="Path to the output file for storing dependents info... | 38.552632 | 199 | 0.715358 | import sys
import json
import urllib
import logging
import requests
import argparse
from urlparse import urljoin
from bs4 import BeautifulSoup
# parse arguments
parser = argparse.ArgumentParser(prog="npmjs_dependents", description="Parse arguments")
parser.add_argument("name", help="Name of the package to query depen... | 0 | 0 | 0 | 0 | 0 | 1,900 | 0 | -6 | 178 |
36888563b1a30f9ca9ffdc10fdf78ea9c9bce694 | 9,204 | py | Python | Ordenamento Radix Sort (TP4 A2)/A2 RadixSort LSD vRelatorio.py | DFTF-PConsole/AED-Labs-Arvores-LEI | 2149b4f6058fb581282c5c5d813ae99e233e453b | [
"MIT"
] | null | null | null | Ordenamento Radix Sort (TP4 A2)/A2 RadixSort LSD vRelatorio.py | DFTF-PConsole/AED-Labs-Arvores-LEI | 2149b4f6058fb581282c5c5d813ae99e233e453b | [
"MIT"
] | null | null | null | Ordenamento Radix Sort (TP4 A2)/A2 RadixSort LSD vRelatorio.py | DFTF-PConsole/AED-Labs-Arvores-LEI | 2149b4f6058fb581282c5c5d813ae99e233e453b | [
"MIT"
] | null | null | null | # v1: Com Radix Sort LSD (A2) (Lado Direito -> Lado Esquerdo) Atua Sobre Digitos e Nao Bits (Para inteiros) |
# Ex.: 1999 >>> 1 <- 9 <- 9 <- 9
# *** VERSAO RELATORIO *** | Tabela 2 e 3
# #### BIBLIOTECAS ####
# #### CONSTANTES ####
CMD_IN_GLOBAL = "PESQ_GLOBAL\n"
CMD_IN_UTILIZADORES = "PESQ_UTILIZADORES\n"
CMD_IN_T... | 42.414747 | 194 | 0.557366 | # v1: Com Radix Sort LSD (A2) (Lado Direito -> Lado Esquerdo) Atua Sobre Digitos e Nao Bits (Para inteiros) |
# Ex.: 1999 >>> 1 <- 9 <- 9 <- 9
# *** VERSAO RELATORIO *** | Tabela 2 e 3
# #### BIBLIOTECAS ####
import sys
import time
import msvcrt
from io import StringIO
# #### CONSTANTES ####
CMD_IN_GLOBAL = "PESQ_G... | 0 | 0 | 0 | 0 | 0 | 8,303 | 0 | -27 | 202 |
bf1f03d1d8eb0e447032ef76e65ee79f0f89065a | 929 | py | Python | solutions/142. Linked List Cycle II.py | JacopoPan/leetcode-top100-liked-questions | 03dc05f087d05805d54b7585ce740338f3128833 | [
"MIT"
] | null | null | null | solutions/142. Linked List Cycle II.py | JacopoPan/leetcode-top100-liked-questions | 03dc05f087d05805d54b7585ce740338f3128833 | [
"MIT"
] | null | null | null | solutions/142. Linked List Cycle II.py | JacopoPan/leetcode-top100-liked-questions | 03dc05f087d05805d54b7585ce740338f3128833 | [
"MIT"
] | null | null | null | """
Runtime: 1626 ms, faster than 5.01% of Python3 online submissions for Linked List Cycle II.
Memory Usage: 17.3 MB, less than 73.61% of Python3 online submissions for Linked List Cycle II.
"""
if __name__ == "__main__":
main()
| 23.820513 | 95 | 0.597417 | """
Runtime: 1626 ms, faster than 5.01% of Python3 online submissions for Linked List Cycle II.
Memory Usage: 17.3 MB, less than 73.61% of Python3 online submissions for Linked List Cycle II.
"""
from typing import List
from typing import Optional
class ListNode:
def __init__(self, x):
self.val = x
... | 0 | 0 | 0 | 325 | 0 | 248 | 0 | 8 | 113 |
943b3f02b5809012fae0f1ddb09bba60bd0f3709 | 932 | py | Python | blipp/dummy.py | periscope-ps/blipp | 002d08e911fb94c34d7f05e34883efa8f6138a4f | [
"BSD-3-Clause"
] | null | null | null | blipp/dummy.py | periscope-ps/blipp | 002d08e911fb94c34d7f05e34883efa8f6138a4f | [
"BSD-3-Clause"
] | null | null | null | blipp/dummy.py | periscope-ps/blipp | 002d08e911fb94c34d7f05e34883efa8f6138a4f | [
"BSD-3-Clause"
] | 1 | 2015-12-14T01:14:39.000Z | 2015-12-14T01:14:39.000Z | # =============================================================================
# periscope-ps (blipp)
#
# Copyright (c) 2013-2016, Trustees of Indiana University,
# All rights reserved.
#
# This software may be modified and distributed under the terms of the BSD
# license. See the COPYING file for details.
#
# ... | 29.125 | 81 | 0.565451 | # =============================================================================
# periscope-ps (blipp)
#
# Copyright (c) 2013-2016, Trustees of Indiana University,
# All rights reserved.
#
# This software may be modified and distributed under the terms of the BSD
# license. See the COPYING file for details.
#
# ... | 0 | 0 | 0 | 334 | 0 | 0 | 0 | -10 | 45 |
86c861ac13441abc037261171e3480debd2223eb | 4,080 | py | Python | pytests/tests/stepsize/vis_stepsize.py | shamanDevel/DiffDVR | 99fbe9f114d0097daf402bde2ae35f18dade335d | [
"BSD-3-Clause"
] | 12 | 2021-08-02T04:51:48.000Z | 2022-01-14T18:02:27.000Z | pytests/tests/stepsize/vis_stepsize.py | shamanDevel/DiffDVR | 99fbe9f114d0097daf402bde2ae35f18dade335d | [
"BSD-3-Clause"
] | 2 | 2021-11-04T14:23:30.000Z | 2022-02-28T10:30:13.000Z | pytests/tests/stepsize/vis_stepsize.py | shamanDevel/DiffDVR | 99fbe9f114d0097daf402bde2ae35f18dade335d | [
"BSD-3-Clause"
] | 4 | 2021-07-16T10:23:45.000Z | 2022-01-04T02:51:43.000Z | import os
import sys
sys.path.append(os.getcwd())
import matplotlib.colors
if __name__ == "__main__":
#ui = UIStepsize(os.path.join(os.getcwd(), "..\\..\\results\\stepsize\\skull4gauss"))
ui = UIStepsize(os.path.join(os.getcwd(), "..\\..\\results\\stepsize\\thorax2gauss"))
ui.show()
| 36.756757 | 99 | 0.628431 | import os
import sys
sys.path.append(os.getcwd())
import h5py
import tests.vis_gui
import torch
import numpy as np
import skimage.transform
import matplotlib.colors
import matplotlib.pyplot
import pyrenderer
class UIStepsize(tests.vis_gui.UI):
def __init__(self, folder):
keys = [
"filename"... | 0 | 0 | 0 | 3,624 | 0 | 0 | 0 | -21 | 179 |
5dfa2cf07cecc859c0f04b49c985a9ecba85a964 | 12,200 | py | Python | mysite/polls/tests.py | js1294/ECM-2434-Group-Software-Engineering-Project | c7edb7d9006920712341d780e3941a99f729630b | [
"Apache-2.0"
] | 2 | 2022-02-17T13:01:36.000Z | 2022-02-28T11:50:23.000Z | mysite/polls/tests.py | js1294/ECM-2434-Group-Software-Engineering-Project | c7edb7d9006920712341d780e3941a99f729630b | [
"Apache-2.0"
] | 13 | 2022-03-02T20:25:47.000Z | 2022-03-23T10:47:16.000Z | mysite/polls/tests.py | js1294/ECM-2434-Group-Software-Engineering-Project | c7edb7d9006920712341d780e3941a99f729630b | [
"Apache-2.0"
] | 4 | 2022-02-27T13:19:23.000Z | 2022-03-21T15:19:11.000Z | """Django tests to ensure that the app is working correctly are written and run here."""
| 33.983287 | 94 | 0.74 | """Django tests to ensure that the app is working correctly are written and run here."""
import tempfile
import datetime
from django.db.models.fields.files import ImageFieldFile
from django.test import TestCase
from django.core.exceptions import ValidationError
from django.core.files.uploadedfile import SimpleUploaded... | 4 | 0 | 0 | 11,540 | 0 | 0 | 0 | 210 | 359 |
00360430e0d7600fd4981ee2a9f61d6755f8e92b | 17,465 | py | Python | scripts/loading/phenotype/load_phenotype.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 5 | 2015-11-24T23:09:46.000Z | 2019-11-06T17:48:13.000Z | scripts/loading/phenotype/load_phenotype.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 188 | 2017-08-28T22:39:03.000Z | 2022-03-02T14:53:46.000Z | scripts/loading/phenotype/load_phenotype.py | dougli1sqrd/SGDBackend-Nex2 | 2ecb2436db142cf08c6f2dbab6b115a394116632 | [
"MIT"
] | 7 | 2018-05-13T01:58:07.000Z | 2021-06-25T19:08:33.000Z | import sys
__author__ = 'sweng66'
cond_start_index = 12
cond_stop_index = 33
column_size = 36
cond_class = ['treatment', 'media', 'phase', 'temperature',
'chemical', 'assay', 'radiation']
# degree_file = "scripts/loading/phenotype/data/sample_line_with_degree.txt"
if __name__ == '__main__':... | 37.398287 | 262 | 0.536444 | import sys
import importlib
from src.models import Apo, Locusdbentity, Referencedbentity, Phenotypeannotation, \
Source, PhenotypeannotationCond, Taxonomy, Chebi, Phenotype, Allele, Reporter, Chebi
from scripts.loading.database_session import get_session
from scripts.loading.util import get_strain_taxid_mapping
__... | 0 | 0 | 0 | 0 | 0 | 16,262 | 0 | 218 | 231 |
56eba2bd40e6acba1eb4a8799f336598eab7c462 | 1,413 | py | Python | config.py | GT-AcerZhang/PaddlePaddle-OCR | b37211cae0ce3182ca7be05ba4a67153282fd7b5 | [
"Apache-2.0"
] | null | null | null | config.py | GT-AcerZhang/PaddlePaddle-OCR | b37211cae0ce3182ca7be05ba4a67153282fd7b5 | [
"Apache-2.0"
] | null | null | null | config.py | GT-AcerZhang/PaddlePaddle-OCR | b37211cae0ce3182ca7be05ba4a67153282fd7b5 | [
"Apache-2.0"
] | null | null | null | # data dict
dict_path = "dataset/dict.txt"
# Data shape
data_shape = [1, 60, -1]
# Minibatch size.
batch_size = 128
# Learning rate.
lr = 1e-3
# Learning rate decay strategy. 'piecewise_decay' or None is valid.
lr_decay_strategy = None
# L2 decay rate.
l2decay = 4e-4
# Momentum rate.
momentum = 0.9
# The threshold of g... | 27.705882 | 84 | 0.742392 | # data dict
dict_path = "dataset/dict.txt"
# Data shape
data_shape = [1, 60, -1]
# Minibatch size.
batch_size = 128
# Learning rate.
lr = 1e-3
# Learning rate decay strategy. 'piecewise_decay' or None is valid.
lr_decay_strategy = None
# L2 decay rate.
l2decay = 4e-4
# Momentum rate.
momentum = 0.9
# The threshold of g... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c6f416a63af3b1efcde2f7ff2466a868d562aa14 | 426 | py | Python | src/boot.py | begeistert/thingsboard | a12fe9e8688df27f6f03798ac96511d4a5475421 | [
"MIT"
] | null | null | null | src/boot.py | begeistert/thingsboard | a12fe9e8688df27f6f03798ac96511d4a5475421 | [
"MIT"
] | null | null | null | src/boot.py | begeistert/thingsboard | a12fe9e8688df27f6f03798ac96511d4a5475421 | [
"MIT"
] | 1 | 2021-08-31T09:04:00.000Z | 2021-08-31T09:04:00.000Z | # This file is executed on every boot (including wake-boot from deepsleep)
import gc
import network
import sys
# import webrepl
# import esp
sys.path.reverse()
# uos.dupterm(None, 1) # disable REPL on UART(0)
# esp.osdebug(None)
# webrepl.start()
gc.collect()
# Se inicia la conexin WiFi
connection = network.WLAN(net... | 17.75 | 74 | 0.753521 | # This file is executed on every boot (including wake-boot from deepsleep)
import uos
import gc
import network
import sys
# import webrepl
# import esp
from wifi import *
sys.path.reverse()
# uos.dupterm(None, 1) # disable REPL on UART(0)
# esp.osdebug(None)
# webrepl.start()
gc.collect()
# Se inicia la conexión Wi... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | -14 | 45 |
37bc23220677061ba989d369dbd704972ca5dcca | 3,781 | py | Python | utility.py | parice02/anagram | cbee7b2acd73beafa02ab60497f194bc679bc15b | [
"MIT"
] | null | null | null | utility.py | parice02/anagram | cbee7b2acd73beafa02ab60497f194bc679bc15b | [
"MIT"
] | null | null | null | utility.py | parice02/anagram | cbee7b2acd73beafa02ab60497f194bc679bc15b | [
"MIT"
] | null | null | null | # -*- conding: utf8 -*-
"""
@author: Muhammed Zeba (parice02)
"""
import sqlite3
from re import compile, I
from typing import List
def regexp(motif: str, item: str) -> bool:
"""retourne True si le motif regex a t satisfait dans l'item
False sinon
"""
pattern = compile(motif, I)
return pattern.sear... | 26.815603 | 102 | 0.590849 | # -*- conding: utf8 -*-
"""
@author: Muhammed Zeba (parice02)
"""
import time
import sqlite3
from re import compile, I
from typing import List, Dict
from pathlib import Path
import json
def N_(s):
return s
def regexp(motif: str, item: str) -> bool:
"""retourne True si le motif regex a été satisfait dans l'i... | 6 | 668 | 0 | 1,876 | 0 | 547 | 0 | -11 | 205 |
737d8b9d6816301bff076d72cea1c7b08b66645d | 3,017 | py | Python | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/a/access_to_protected_members.py | OrangeGzY/vimrc | ddcaedce2effbbd1014eddbceebeb8c621cd9f95 | [
"MIT"
] | 1 | 2021-05-08T07:32:20.000Z | 2021-05-08T07:32:20.000Z | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/a/access_to_protected_members.py | OrangeGzY/vimrc | ddcaedce2effbbd1014eddbceebeb8c621cd9f95 | [
"MIT"
] | null | null | null | vimfiles/bundle/vim-python/submodules/pylint/tests/functional/a/access_to_protected_members.py | OrangeGzY/vimrc | ddcaedce2effbbd1014eddbceebeb8c621cd9f95 | [
"MIT"
] | null | null | null | # pylint: disable=too-few-public-methods, W0231, print-statement, useless-object-inheritance
# pylint: disable=no-classmethod-decorator
"""Test external access to protected class members."""
from __future__ import print_function
INST = Subclass()
INST.attr = 1
print(INST.attr)
INST._protected = 2 # [protected-access... | 29.578431 | 97 | 0.621478 | # pylint: disable=too-few-public-methods, W0231, print-statement, useless-object-inheritance
# pylint: disable=no-classmethod-decorator
"""Test external access to protected class members."""
from __future__ import print_function
class MyClass(object):
"""Class with protected members."""
_cls_protected = 5
... | 0 | 0 | 0 | 2,461 | 0 | 0 | 0 | 0 | 92 |
fa4088f97a151acd7e55796d129b4ed7a8cd864b | 1,081 | py | Python | image2html/image2html.py | ZQPei/img2html | 06c1d1734593ec753964b92f3331a9959b14638d | [
"MIT"
] | 2 | 2019-12-17T08:51:25.000Z | 2021-05-26T16:25:55.000Z | image2html/image2html.py | ZQPei/img2html | 06c1d1734593ec753964b92f3331a9959b14638d | [
"MIT"
] | 1 | 2020-03-04T05:24:57.000Z | 2020-07-20T09:51:45.000Z | image2html/image2html.py | ZQPei/img2html | 06c1d1734593ec753964b92f3331a9959b14638d | [
"MIT"
] | 1 | 2020-12-09T04:39:11.000Z | 2020-12-09T04:39:11.000Z |
if __name__ == "__main__":
image2html()
| 41.576923 | 153 | 0.693802 | from .html_generator import build_html_generator
def parse_args():
import argparse
parser = argparse.ArgumentParser()
# parser.add_argument("--mode", type=str, choices=['single', 'multiple'], help='To display a single image folder or Compare multiple image folders.')
parser.add_argument("--dirs", type... | 0 | 0 | 0 | 0 | 0 | 938 | 0 | 27 | 68 |
25351227459bae83e453349353bdc294c0b47886 | 122 | py | Python | Week_1_Python_Basics/Problem Set 1/ps1_problem2.py | marwan1023/MITX.6.00.1x | f054fe1a64c0868668998d1cd44d6bb3c5e431b3 | [
"CNRI-Python"
] | null | null | null | Week_1_Python_Basics/Problem Set 1/ps1_problem2.py | marwan1023/MITX.6.00.1x | f054fe1a64c0868668998d1cd44d6bb3c5e431b3 | [
"CNRI-Python"
] | null | null | null | Week_1_Python_Basics/Problem Set 1/ps1_problem2.py | marwan1023/MITX.6.00.1x | f054fe1a64c0868668998d1cd44d6bb3c5e431b3 | [
"CNRI-Python"
] | null | null | null | bob = 0
for i in range(len(s)-2):
if s[i:i+3] == 'bob':
bob += 1
print('Number of times bob occurs is:', bob)
| 20.333333 | 44 | 0.532787 | bob = 0
for i in range(len(s)-2):
if s[i:i+3] == 'bob':
bob += 1
print('Number of times bob occurs is:', bob)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f46d256053c1ccb9894f109ff08cd3706ce3ca7a | 1,021 | py | Python | app.py | rafaelsouzak2b/lista_favoritos | 38cdda263a7a8d157cbfd9abdc4b6e4af3b9f4b8 | [
"MIT"
] | null | null | null | app.py | rafaelsouzak2b/lista_favoritos | 38cdda263a7a8d157cbfd9abdc4b6e4af3b9f4b8 | [
"MIT"
] | null | null | null | app.py | rafaelsouzak2b/lista_favoritos | 38cdda263a7a8d157cbfd9abdc4b6e4af3b9f4b8 | [
"MIT"
] | null | null | null |
from src.app.ma import ma
from src.app.db import db
from src.app.controllers.cliente import Cliente, ClienteList
from src.app.controllers.favoritos import FavoritoList, Favorito
from src.app.controllers.usuario import UsuarioAuth, Usuario
from src.app.server.instance import server
import logging
api = server.api
app... | 31.90625 | 100 | 0.790402 | from marshmallow import ValidationError
from src.app.ma import ma
from src.app.db import db
from src.app.controllers.cliente import Cliente, ClienteList
from src.app.controllers.favoritos import FavoritoList, Favorito
from src.app.controllers.usuario import UsuarioAuth, Usuario
from src.app.server.instance import ser... | 0 | 45 | 0 | 0 | 0 | 0 | 0 | 18 | 45 |
36e22b9a97d22dae4a3bf254b51c8c019598d7d4 | 24,151 | py | Python | sdk/python/pulumi_okta/behaviour.py | pulumi/pulumi-okta | 83f7617a85b3d05213901773fa4e6a151ab6076b | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2019-10-29T21:59:22.000Z | 2021-11-08T12:00:24.000Z | sdk/python/pulumi_okta/behaviour.py | pulumi/pulumi-okta | 83f7617a85b3d05213901773fa4e6a151ab6076b | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2020-01-06T10:28:09.000Z | 2022-03-25T19:52:40.000Z | sdk/python/pulumi_okta/behaviour.py | pulumi/pulumi-okta | 83f7617a85b3d05213901773fa4e6a151ab6076b | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-09-11T16:31:04.000Z | 2020-11-24T12:23:17.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
__all__ = ['BehaviourArgs', 'Behaviour']
| 44.313761 | 137 | 0.639601 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 0 | 21,099 | 0 | 2,607 | 0 | 0 | 0 | 44 | 158 |
453a00b5f5eff817a5db5d9cffe28cc248ea085c | 228 | py | Python | ranker/__init__.py | rebryk/SPbAU-IR | 15ef67b49617cc6b67d69ecba5e2585ea56a52b7 | [
"MIT"
] | null | null | null | ranker/__init__.py | rebryk/SPbAU-IR | 15ef67b49617cc6b67d69ecba5e2585ea56a52b7 | [
"MIT"
] | null | null | null | ranker/__init__.py | rebryk/SPbAU-IR | 15ef67b49617cc6b67d69ecba5e2585ea56a52b7 | [
"MIT"
] | null | null | null | import logging
from .ranker import AbstractAndArticle
from .tfidf import TfIdf
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.DEBUG)
__all__ = ("AbstractAndArticle", "TfIdf")
| 25.333333 | 103 | 0.741228 | import logging
from .ranker import AbstractAndArticle
from .tfidf import TfIdf
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.DEBUG)
__all__ = ("AbstractAndArticle", "TfIdf")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
566b6caef237f48bef5eff181a6d2a1a17ed799d | 8,460 | py | Python | banner.py | mh-Earth/instaploit | fb871b3c0d7d74df828826314da3893945ee71ad | [
"MIT"
] | 7 | 2021-02-25T17:37:32.000Z | 2022-01-13T15:49:45.000Z | banner.py | mh-Earth/instaploit | fb871b3c0d7d74df828826314da3893945ee71ad | [
"MIT"
] | 1 | 2021-02-25T20:13:18.000Z | 2021-02-27T06:22:12.000Z | banner.py | mh-Earth/instaploit | fb871b3c0d7d74df828826314da3893945ee71ad | [
"MIT"
] | null | null | null |
banner1=('''
... | 60.863309 | 298 | 0.089362 | from random import choice
banner1=('''
██
██████ ████ ██
██████ ██ ████ ██ ██
... | 3,231 | 0 | 0 | 0 | 0 | 478 | 0 | 4 | 69 |
08f6e34eb576d4fb663cb60cd23844b93b06d91d | 413 | py | Python | main/migrations/0003_pdfaudio_audio_file.py | VijyantVerma/pdf-to-audio | 2eb925be77c4ee079b27a180521fa7fc460b8e5f | [
"MIT"
] | 1 | 2020-10-14T22:50:01.000Z | 2020-10-14T22:50:01.000Z | main/migrations/0003_pdfaudio_audio_file.py | VijyantVerma/pdf-to-audio | 2eb925be77c4ee079b27a180521fa7fc460b8e5f | [
"MIT"
] | null | null | null | main/migrations/0003_pdfaudio_audio_file.py | VijyantVerma/pdf-to-audio | 2eb925be77c4ee079b27a180521fa7fc460b8e5f | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-10-20 18:25
| 21.736842 | 76 | 0.605327 | # Generated by Django 3.1.2 on 2020-10-20 18:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0002_auto_20201020_2339'),
]
operations = [
migrations.AddField(
model_name='pdfaudio',
name='audio_file',
... | 0 | 0 | 0 | 299 | 0 | 0 | 0 | 19 | 46 |
26d881e5af1dfe72f33db1b99628896f3fc92b9a | 6,732 | py | Python | RAISoft/instruments/Regulator.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | RAISoft/instruments/Regulator.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | RAISoft/instruments/Regulator.py | daveraees/EMA_Test_Lab | a3073c5ec205d6ee327a993b38e92698c12cb0a6 | [
"MIT"
] | null | null | null | # This should define the abstract regulator
| 40.071429 | 145 | 0.577094 | # This should define the abstract regulator
import threading
from LocalTimer import LocalTimerClass
from DummyMeter import Bedna
from numpy import array
class Regulator(Bedna):
class Feedback:
prop = 0.1
loopTime = 1
measLoopTime = loopTime
memory = None
signal = None
cl... | 0 | 0 | 0 | 6,550 | 0 | 0 | 0 | 21 | 111 |
ec42a3a648d541e2ff3fbadfec0b10d0704f5e07 | 9,521 | py | Python | src/api.py | ZingLix/alala | c305261bdf3c852509786596851f348b79ca3547 | [
"MIT"
] | null | null | null | src/api.py | ZingLix/alala | c305261bdf3c852509786596851f348b79ca3547 | [
"MIT"
] | null | null | null | src/api.py | ZingLix/alala | c305261bdf3c852509786596851f348b79ca3547 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_cors import CORS
from user import register_user_module
import secrets
app = Flask(__name__)
app.secret_key = secrets.token_urlsafe(16)
register_user_module(app)
CORS(app)
| 30.41853 | 88 | 0.664426 | import json
from os import abort
from flask import Flask, request
from flask_cors import CORS
from bson import ObjectId
import flask_login
from requests import api
import permission
import requests
from Util.db import rule_db, keywords_db, bili_mtr_db, user_db, permission_db, api_db
from rule import keywords, update_ke... | 0 | 8,320 | 0 | 0 | 0 | 0 | 0 | 154 | 816 |
11d2d9fdeeee1810d1147f8e6f96a95243432786 | 4,096 | py | Python | jacdac/jacscript_manager/client.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | 1 | 2022-02-15T21:30:36.000Z | 2022-02-15T21:30:36.000Z | jacdac/jacscript_manager/client.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | null | null | null | jacdac/jacscript_manager/client.py | microsoft/jacdac-python | 712ad5559e29065f5eccb5dbfe029c039132df5a | [
"MIT"
] | 1 | 2022-02-08T19:32:45.000Z | 2022-02-08T19:32:45.000Z | # Autogenerated file. Do not edit.
| 37.925926 | 129 | 0.676514 | # Autogenerated file. Do not edit.
from jacdac.bus import Bus, Client, EventHandlerFn, UnsubscribeFn
from .constants import *
from typing import Optional
class JacscriptManagerClient(Client):
"""
Allows for deployment and control over Jacscript virtual machine.
*
* Programs start automatically afte... | 0 | 1,503 | 0 | 2,410 | 0 | 0 | 0 | 53 | 89 |
098e835eaf8c13ab80b472d86955cbff1de3448b | 475 | py | Python | _site/Class 7/binarysearch.py | noahklein/pythonClass | 8c33443cfc53f648440d40b6ed3e2ea952ce8876 | [
"MIT"
] | null | null | null | _site/Class 7/binarysearch.py | noahklein/pythonClass | 8c33443cfc53f648440d40b6ed3e2ea952ce8876 | [
"MIT"
] | null | null | null | _site/Class 7/binarysearch.py | noahklein/pythonClass | 8c33443cfc53f648440d40b6ed3e2ea952ce8876 | [
"MIT"
] | null | null | null | #example:
a = range(1,25)
print(binarySearch(a,1,debug=True)) | 29.6875 | 68 | 0.745263 | def binarySearch(listOfNumbers,number,debug=False):
if debug:
print(listOfNumbers)
length = len(listOfNumbers)
if listOfNumbers[length//2] == number:
return True
if length == 1:
return False
elif listOfNumbers[length//2] > number:
return binarySearch(listOfNumbers[:length//2], number,debug=debug)
else: #... | 0 | 0 | 0 | 0 | 0 | 392 | 0 | 0 | 22 |
087959f59cb4f153652d2ea4b82d4f53ec62cdb3 | 2,435 | py | Python | foodx_devops_tools/pipeline_config/deployments.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 3 | 2021-06-23T20:53:43.000Z | 2022-01-26T14:19:43.000Z | foodx_devops_tools/pipeline_config/deployments.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 33 | 2021-08-09T15:44:51.000Z | 2022-03-03T18:28:02.000Z | foodx_devops_tools/pipeline_config/deployments.py | Food-X-Technologies/foodx_devops_tools | 57d1bf1304d9c9a386eaffa427f9eb36c410c350 | [
"MIT"
] | 1 | 2021-06-23T20:53:52.000Z | 2021-06-23T20:53:52.000Z | # Copyright (c) 2021 Food-X Technologies
#
# This file is part of foodx_devops_tools.
#
# You should have received a copy of the MIT License along with
# foodx_devops_tools. If not, see <https://opensource.org/licenses/MIT>.
"""Subscriptions deployment configuration I/O."""
import pathlib
import typing
from ._ex... | 26.182796 | 73 | 0.731828 | # Copyright (c) 2021 Food-X Technologies
#
# This file is part of foodx_devops_tools.
#
# You should have received a copy of the MIT License along with
# foodx_devops_tools. If not, see <https://opensource.org/licenses/MIT>.
"""Subscriptions deployment configuration I/O."""
import pathlib
import typing
import py... | 0 | 414 | 0 | 820 | 0 | 0 | 0 | -6 | 138 |
2c9422bc77aae39ebb1357b4e31d9b7bdbe7f017 | 36,548 | py | Python | codes/singint.py | Hadrien-Montanelli/singintpy | 1706afe42d0cc6e0f3c53759d489f7209e50ef29 | [
"MIT"
] | null | null | null | codes/singint.py | Hadrien-Montanelli/singintpy | 1706afe42d0cc6e0f3c53759d489f7209e50ef29 | [
"MIT"
] | null | null | null | codes/singint.py | Hadrien-Montanelli/singintpy | 1706afe42d0cc6e0f3c53759d489f7209e50ef29 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 28 15:39:49 2021
Copyright 2021 by Hadrien Montanelli.
"""
import numpy as np
from numpy.linalg import norm
def singint(A, x0, n, p, trans=[True, True, True], optim='BFGS', quad='numerical'):
"""
Compute a singular or near-singular integral... | 36.548 | 85 | 0.435126 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 28 15:39:49 2021
Copyright 2021 by Hadrien Montanelli.
"""
import numpy as np
from numpy.linalg import norm
from scipy.optimize import minimize
def singint(A, x0, n, p, trans=[True, True, True], optim='BFGS', quad='numerical'):
"""
Compute ... | 0 | 0 | 0 | 0 | 0 | 33,586 | 0 | 14 | 392 |
5e641ecf20f1d503885b0c2aade91d39570cefd9 | 2,277 | py | Python | src/quantum_util/topology.py | alchayward/quantum_util | 76f48e02760e080e70127dd089a4c4e8a6c732cf | [
"MIT"
] | null | null | null | src/quantum_util/topology.py | alchayward/quantum_util | 76f48e02760e080e70127dd089a4c4e8a6c732cf | [
"MIT"
] | null | null | null | src/quantum_util/topology.py | alchayward/quantum_util | 76f48e02760e080e70127dd089a4c4e8a6c732cf | [
"MIT"
] | null | null | null | # tools for analysing topologial quantities for various systems
from scipy import pi, log, imag
# 1D topology
def polarization(wf, d_phi=1.0e-10):
"""
Polarization from Resta formula.
"""
L = states.shape[0]
X = diag(exp(-1.0j*linspace(0,2*pi,L)))
return -imag(log(det(conj(states.T) @ ... | 26.788235 | 74 | 0.634607 | # tools for analysing topologial quantities for various systems
import numpy as np
from scipy.integrate import quad, dblquad
from scipy import pi, log, imag
from quantum_util.operators import ParameterizedWavefunction
# 1D topology
class TorusState2D(object):
"""Docstring for TorusState2D.
Todo: Add some... | 0 | 0 | 0 | 625 | 0 | 828 | 0 | 56 | 294 |
2acc822c79652f7e9afd78c450db48f5e01422b1 | 14,948 | py | Python | dfirtrack_main/importer/file/csv_form_based.py | FabFaeb/dfirtrack | 6dd1f5d16a688ea921753512fbf38ec8865e4c48 | [
"MIT"
] | null | null | null | dfirtrack_main/importer/file/csv_form_based.py | FabFaeb/dfirtrack | 6dd1f5d16a688ea921753512fbf38ec8865e4c48 | [
"MIT"
] | null | null | null | dfirtrack_main/importer/file/csv_form_based.py | FabFaeb/dfirtrack | 6dd1f5d16a688ea921753512fbf38ec8865e4c48 | [
"MIT"
] | null | null | null |
# deprecated, TODO: check for useful stuff regarding tag handling
#
#from dfirtrack.config import TAGLIST
#from dfirtrack.config import TAGPREFIX
#
# """
# - remove all tags for systems beginning with 'TAGPREFIX' (if there are any)
# - evaluate given CSV line by line (without first row)
# - check wheth... | 42.107042 | 166 | 0.582085 | import csv
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.shortcuts import redirect, render
from django.urls import reverse
from django.utils import timezone
from dfirtrack_config.models import SystemImporterFileCsvFormbasedConfigModel
from dfirtrack_main.impor... | 0 | 9,252 | 0 | 0 | 0 | 0 | 0 | 542 | 331 |
c1012a0c816befadf95b8b196dc767c17064660e | 533 | py | Python | NewsProcessorServer/config.py | theodorachu/ihavenewsforyou | bc7be1952af5eee8f1ace92469a1364b974ab984 | [
"MIT"
] | 1 | 2017-01-26T01:25:03.000Z | 2017-01-26T01:25:03.000Z | NewsProcessorServer/config.py | theodorachu/ihavenewsforyou | bc7be1952af5eee8f1ace92469a1364b974ab984 | [
"MIT"
] | null | null | null | NewsProcessorServer/config.py | theodorachu/ihavenewsforyou | bc7be1952af5eee8f1ace92469a1364b974ab984 | [
"MIT"
] | null | null | null | import os
basedir = os.path.abspath(os.path.dirname(__file__))
| 25.380952 | 84 | 0.771107 | import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
DEBUG = False
CSRF_ENABLED = True
SQLALCHEMY_DATABASE_URI = os.environ['DATABASE_URL'] # required by Flask-SQLAlchemy
# OAUTH_CLIENT_ID = os.environ['OAUTH_CLIENT_ID']
# CLIENT_SECRET = os.environ['CLIENT_SECRET']
CORS_HEADERS =... | 0 | 0 | 0 | 378 | 0 | 0 | 0 | 0 | 92 |
45b7d1d77a8b4ef50beeefda60b7ff07d37f1fc6 | 2,678 | py | Python | analysis/prep/barriers/special/extract_snapping_dataset_outside_prev_region.py | astutespruce/sarp | 7ce503380440c47b762ed1a8efd1d3e3aab6605e | [
"MIT"
] | null | null | null | analysis/prep/barriers/special/extract_snapping_dataset_outside_prev_region.py | astutespruce/sarp | 7ce503380440c47b762ed1a8efd1d3e3aab6605e | [
"MIT"
] | null | null | null | analysis/prep/barriers/special/extract_snapping_dataset_outside_prev_region.py | astutespruce/sarp | 7ce503380440c47b762ed1a8efd1d3e3aab6605e | [
"MIT"
] | null | null | null | import os
from pathlib import Path
import warnings
import pygeos as pg
import geopandas as gp
from pyogrio import read_dataframe, write_dataframe
from analysis.constants import CRS, STATES
PREVIOUS_STATES = {
"AL",
"AR",
"AZ",
"CO",
"FL",
"GA",
"IA",
"KS",
"KY",
"LA",
"MO"... | 25.028037 | 96 | 0.676998 | import os
from pathlib import Path
import warnings
import pygeos as pg
import geopandas as gp
from pyogrio import read_dataframe, write_dataframe
from analysis.constants import CRS, STATES
PREVIOUS_STATES = {
"AL",
"AR",
"AZ",
"CO",
"FL",
"GA",
"IA",
"KS",
"KY",
"LA",
"MO"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
38880200e76e06d22e94df45480ca1fd7e5a9a82 | 904 | py | Python | deliverable_model/serving/remote_model/model_registry.py | lanSeFangZhou/deliverable_model | b01c502286850879bc3f9be1dd6f369ad1181d07 | [
"Apache-2.0"
] | 2 | 2020-08-20T04:26:58.000Z | 2021-01-04T10:06:31.000Z | deliverable_model/serving/remote_model/model_registry.py | lanSeFangZhou/deliverable_model | b01c502286850879bc3f9be1dd6f369ad1181d07 | [
"Apache-2.0"
] | 6 | 2019-12-12T03:13:43.000Z | 2021-11-10T20:08:18.000Z | deliverable_model/serving/remote_model/model_registry.py | lanSeFangZhou/deliverable_model | b01c502286850879bc3f9be1dd6f369ad1181d07 | [
"Apache-2.0"
] | 4 | 2019-11-15T09:56:01.000Z | 2020-05-08T10:23:00.000Z |
_endpoint_type_registry = {}
| 29.16129 | 88 | 0.820796 | from pathlib import Path
from deliverable_model.serving.remote_model.model_endpoint_base import ModelEndpointBase
_endpoint_type_registry = {}
def get_endpoint_class_by_type(model_type) -> ModelEndpointBase:
global _endpoint_type_registry
model_loader_class = _endpoint_type_registry[model_type]
return ... | 0 | 0 | 0 | 0 | 0 | 687 | 0 | 70 | 114 |
8a047cd30341546b9165ab7b923c949d6ffdb963 | 479 | py | Python | scuole/counties/migrations/0004_auto_20170813_2350.py | texastribune/scuole | 8ab316ee50ef0d8e71b94b50dc889d10c6e83412 | [
"MIT"
] | 1 | 2019-03-12T04:30:02.000Z | 2019-03-12T04:30:02.000Z | scuole/counties/migrations/0004_auto_20170813_2350.py | texastribune/scuole | 8ab316ee50ef0d8e71b94b50dc889d10c6e83412 | [
"MIT"
] | 616 | 2017-08-18T21:15:39.000Z | 2022-03-25T11:17:10.000Z | scuole/counties/migrations/0004_auto_20170813_2350.py | texastribune/scuole | 8ab316ee50ef0d8e71b94b50dc889d10c6e83412 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-08-13 23:50
from __future__ import unicode_literals
| 22.809524 | 49 | 0.638831 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2017-08-13 23:50
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('counties', '0003_auto_20170811_2045'),
]
operations = [
migrations.AlterFie... | 0 | 0 | 0 | 300 | 0 | 0 | 0 | 19 | 46 |
58ca962f1bbbcccd31a06aeb2de9c62035360259 | 75 | py | Python | ts_app/__main__.py | ngocneo/time-series-app | 910cae8a05e0ad7fb21aa3844ff9b1ff39e287e2 | [
"MIT"
] | null | null | null | ts_app/__main__.py | ngocneo/time-series-app | 910cae8a05e0ad7fb21aa3844ff9b1ff39e287e2 | [
"MIT"
] | null | null | null | ts_app/__main__.py | ngocneo/time-series-app | 910cae8a05e0ad7fb21aa3844ff9b1ff39e287e2 | [
"MIT"
] | null | null | null | from ts_app import run_in_cli
if __name__ == "__main__":
run_in_cli()
| 15 | 29 | 0.72 | from ts_app import run_in_cli
if __name__ == "__main__":
run_in_cli()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e009771b8dc62d1f5fc7dcde6bef84d2cc2d249c | 539 | py | Python | src/concurrency in python/python concurrecy/thead_monitor.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | null | null | null | src/concurrency in python/python concurrecy/thead_monitor.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | 3 | 2019-12-26T05:13:55.000Z | 2020-03-07T06:59:56.000Z | src/concurrency in python/python concurrecy/thead_monitor.py | sudeep0901/python | 7a50af12e72d21ca4cad7f2afa4c6f929552043f | [
"MIT"
] | null | null | null |
monitor_deamons() | 28.368421 | 92 | 0.684601 | import subprocess
def monitor_deamons():
print ("starting monitor")
ps = subprocess.Popen(('ps', '-ef'), stdout=subprocess.PIPE)
grep = subprocess.Popen(('grep', '-v', 'grep'), stdin=ps.stdout, stdout=subprocess.PIPE)
ps.stdout.close() # Allow ps to receive a SIGPIPE if grep exits.
grep_daemon ... | 0 | 0 | 0 | 0 | 0 | 480 | 0 | -4 | 45 |
63230fe10d1a1ba9882aa450100c2db362bf35bb | 4,934 | py | Python | metal/end_model/em_defaults.py | inimino/metal | 6d557e0956fb92c6d1afccd4b0089c5166d38565 | [
"Apache-2.0"
] | 437 | 2018-08-03T21:24:15.000Z | 2022-03-18T19:31:39.000Z | metal/end_model/em_defaults.py | inimino/metal | 6d557e0956fb92c6d1afccd4b0089c5166d38565 | [
"Apache-2.0"
] | 134 | 2018-08-02T14:33:44.000Z | 2021-12-22T06:39:42.000Z | metal/end_model/em_defaults.py | inimino/metal | 6d557e0956fb92c6d1afccd4b0089c5166d38565 | [
"Apache-2.0"
] | 80 | 2018-08-06T21:18:39.000Z | 2022-03-10T09:17:49.000Z | em_default_config = {
# GENERAL
"seed": None,
"verbose": True,
"show_plots": True,
# Network
# The first value is the output dim of the input module (or the sum of
# the output dims of all the input modules if multitask=True and
# multiple input modules are provided). The last value is t... | 43.280702 | 145 | 0.58715 | em_default_config = {
# GENERAL
"seed": None,
"verbose": True,
"show_plots": True,
# Network
# The first value is the output dim of the input module (or the sum of
# the output dims of all the input modules if multitask=True and
# multiple input modules are provided). The last value is t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0ab8966ba729b58ef60fe30df62a2cbd9de6013 | 296 | py | Python | config.py | golnazads/ADSAuthorAffiliationService | 69a4f2e2ea481d7a26bac1c37d880ef691be8c72 | [
"MIT"
] | 1 | 2021-04-25T15:04:22.000Z | 2021-04-25T15:04:22.000Z | config.py | golnazads/ADSAuthorAffiliationService | 69a4f2e2ea481d7a26bac1c37d880ef691be8c72 | [
"MIT"
] | 21 | 2017-12-08T01:21:22.000Z | 2021-02-26T17:44:06.000Z | config.py | golnazads/ADSAuthorAffiliationService | 69a4f2e2ea481d7a26bac1c37d880ef691be8c72 | [
"MIT"
] | 2 | 2018-08-07T13:51:39.000Z | 2021-04-25T15:04:26.000Z |
LOG_STDOUT = True
AUTHOR_AFFILIATION_SOLRQUERY_URL = "http://api.adsabs.harvard.edu/v1/search/bigquery"
AUTHOR_AFFILATION_SERVICE_MAX_RECORDS_SOLR = 1000
# must be here for adsmutils to override it using env vars
# but if left empty (resolving to False) it won't be used
SERVICE_TOKEN = None
| 26.909091 | 85 | 0.797297 |
LOG_STDOUT = True
AUTHOR_AFFILIATION_SOLRQUERY_URL = "http://api.adsabs.harvard.edu/v1/search/bigquery"
AUTHOR_AFFILATION_SERVICE_MAX_RECORDS_SOLR = 1000
# must be here for adsmutils to override it using env vars
# but if left empty (resolving to False) it won't be used
SERVICE_TOKEN = None
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
97419f3dc72c64bccb2d2d4a114e256582785944 | 421 | py | Python | accounts/migrations/0006_auto_20180422_2204.py | Tomasz-Kluczkowski/Bnice | 75eb66a94a3bf3225691ed6802e674fbcf108571 | [
"MIT"
] | null | null | null | accounts/migrations/0006_auto_20180422_2204.py | Tomasz-Kluczkowski/Bnice | 75eb66a94a3bf3225691ed6802e674fbcf108571 | [
"MIT"
] | 60 | 2018-04-20T21:32:21.000Z | 2021-09-07T23:53:31.000Z | accounts/migrations/0006_auto_20180422_2204.py | Tomasz-Kluczkowski/Bnice | 75eb66a94a3bf3225691ed6802e674fbcf108571 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.3 on 2018-04-22 21:04
| 22.157895 | 79 | 0.605701 | # Generated by Django 2.0.3 on 2018-04-22 21:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0005_auto_20180419_2101'),
]
operations = [
migrations.AlterField(
model_name='user',
name='profile_phot... | 0 | 0 | 0 | 307 | 0 | 0 | 0 | 19 | 46 |
1749e798a32d13f7c0e13894de38f49b9ed27849 | 32,134 | py | Python | tests/python/modules/mesh_test.py | noorbeast/blender | 9dc69b3848b46f4fbf3daa3360a3b975f4e1565f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 365 | 2015-02-10T15:10:55.000Z | 2022-03-03T15:50:51.000Z | tests/python/modules/mesh_test.py | noorbeast/blender | 9dc69b3848b46f4fbf3daa3360a3b975f4e1565f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 45 | 2015-01-09T15:34:20.000Z | 2021-10-05T14:44:23.000Z | tests/python/modules/mesh_test.py | noorbeast/blender | 9dc69b3848b46f4fbf3daa3360a3b975f4e1565f | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 172 | 2015-01-25T15:16:53.000Z | 2022-01-31T08:25:36.000Z | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 43.898907 | 121 | 0.643835 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 0 | 0 | 0 | 30,003 | 0 | 0 | 0 | -30 | 228 |
a4f994ce49cc4a42d2efab739a386ae352bb08dd | 423 | py | Python | aclark/db/migrations/0052_note__note.py | aclark4life/aclark-net-1 | e256bfdd63ad4445bf0a75ef0b91f6e1fd2479ea | [
"MIT"
] | null | null | null | aclark/db/migrations/0052_note__note.py | aclark4life/aclark-net-1 | e256bfdd63ad4445bf0a75ef0b91f6e1fd2479ea | [
"MIT"
] | null | null | null | aclark/db/migrations/0052_note__note.py | aclark4life/aclark-net-1 | e256bfdd63ad4445bf0a75ef0b91f6e1fd2479ea | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-18 18:17
| 22.263158 | 102 | 0.598109 | # Generated by Django 3.0.7 on 2020-07-18 18:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('db', '0051_note_doc_type'),
]
operations = [
migrations.AddField(
model_name='note',
name='_note',
field... | 0 | 0 | 0 | 309 | 0 | 0 | 0 | 19 | 46 |
5653637ee356e11fdb0fc4dacc1b2b44a6d254f3 | 8,951 | py | Python | main.py | smogork/TAiO_ImageClassification | 14b2f6e707475b45e936a8ddd4345309aaef78f2 | [
"MIT"
] | null | null | null | main.py | smogork/TAiO_ImageClassification | 14b2f6e707475b45e936a8ddd4345309aaef78f2 | [
"MIT"
] | 2 | 2021-10-12T17:45:49.000Z | 2021-12-21T19:23:30.000Z | main.py | smogork/TAiO_ImageClassification | 14b2f6e707475b45e936a8ddd4345309aaef78f2 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
"""
Pocztkowy modu
"""
import argparse
from feature.simple_features.avg_size_of_hole_feature import AvgSizeOfHoleFeature
from feature.simple_features.avg_size_of_island_feature import AvgSizeOfIslandFeature
from feature.simple_features.first_quart_feature import FirstQuartFeature
from feature.si... | 50.286517 | 190 | 0.790414 | #! /usr/bin/env python
"""
Początkowy moduł
"""
import argparse
import numpy
from bitmap_mapper.min_max_difference_coordinates_bitmap_mapper import MinMaxDifferenceCoordinatesBitmapMapper
from data_parsers.classify_data import ClassifyData
from data_parsers.learning_data import LearningData
from feature.simple_featu... | 4 | 0 | 0 | 0 | 0 | 2,260 | 0 | 166 | 181 |
73cb7f84904c9f5e9797faba056f08ccdf349848 | 449 | py | Python | auxilia/funcao truncar.py | HigorAnjos/Fundamentos-VI | e0aa3cb37e4c54d24ac7123ea3bd8038196e0edb | [
"MIT"
] | null | null | null | auxilia/funcao truncar.py | HigorAnjos/Fundamentos-VI | e0aa3cb37e4c54d24ac7123ea3bd8038196e0edb | [
"MIT"
] | null | null | null | auxilia/funcao truncar.py | HigorAnjos/Fundamentos-VI | e0aa3cb37e4c54d24ac7123ea3bd8038196e0edb | [
"MIT"
] | null | null | null |
def truncate(number, decimals=0):
"""
Returns a value truncated to a specific number of decimal places.
"""
if not isinstance(decimals, int):
raise TypeError("decimal places must be an integer.")
elif decimals < 0:
raise ValueError("decimal places has to be 0 or more.")
elif dec... | 23.631579 | 69 | 0.639198 |
def truncate(number, decimals=0):
"""
Returns a value truncated to a specific number of decimal places.
"""
if not isinstance(decimals, int):
raise TypeError("decimal places must be an integer.")
elif decimals < 0:
raise ValueError("decimal places has to be 0 or more.")
elif dec... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
350f482e992f32b93957d2a42ad52be3552c6bce | 4,465 | py | Python | linux-exec.py | mlyapin/linux-exec | 0ccd813407f928b2f9120e637dabaae4c241fb91 | [
"MIT"
] | null | null | null | linux-exec.py | mlyapin/linux-exec | 0ccd813407f928b2f9120e637dabaae4c241fb91 | [
"MIT"
] | null | null | null | linux-exec.py | mlyapin/linux-exec | 0ccd813407f928b2f9120e637dabaae4c241fb91 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import hashlib
DOCKERFILE_BASIC = """
FROM archlinux
# Update the system
RUN pacman --noconfirm -Syu
# We will append commands to install packages later. See the function `construct_dockerfile()`
"""
def calc_image_hash(config: Config) -> str:
"""Calculate image hash from given a config... | 29.375 | 98 | 0.603135 | #!/usr/bin/env python3
import sys
import os
import subprocess
import hashlib
import typing
import dataclasses
DOCKERFILE_BASIC = """
FROM archlinux
# Update the system
RUN pacman --noconfirm -Syu
# We will append commands to install packages later. See the function `construct_dockerfile()`
"""
@dataclasses.datacl... | 0 | 1,013 | 0 | 0 | 730 | 2,087 | 0 | -38 | 272 |
15d57e2727120c6ebac03e3adaf2d3552e6cc5d0 | 6,794 | py | Python | Other_Python/ThetaGPU_Ray/source/post_analyses.py | Romit-Maulik/Tutorials-Demos-Practice | a58ddc819f24a16f7059e63d7f201fc2cd23e03a | [
"MIT"
] | 8 | 2020-09-02T14:46:07.000Z | 2021-11-29T15:27:05.000Z | Other_Python/ThetaGPU_Ray/source/post_analyses.py | Romit-Maulik/Tutorials-Demos-Practice | a58ddc819f24a16f7059e63d7f201fc2cd23e03a | [
"MIT"
] | 18 | 2020-11-13T18:49:33.000Z | 2022-03-12T00:54:43.000Z | Other_Python/ThetaGPU_Ray/source/post_analyses.py | Romit-Maulik/Tutorials-Demos-Practice | a58ddc819f24a16f7059e63d7f201fc2cd23e03a | [
"MIT"
] | 5 | 2019-09-25T23:57:00.000Z | 2021-04-18T08:15:34.000Z | import os
dir_path = os.path.dirname(os.path.realpath(__file__))
parent_path = os.path.dirname(dir_path)
import numpy as np
np.random.seed(10)
if __name__ == '__main__':
print('Analysis module') | 40.682635 | 129 | 0.6937 | import os
import xarray as xr
dir_path = os.path.dirname(os.path.realpath(__file__))
parent_path = os.path.dirname(dir_path)
import numpy as np
np.random.seed(10)
import matplotlib.pyplot as plt
from utils import plot_averaged_errors, plot_windowed_errors, plot_contours, plot_bars
def perform_analyses(data_paths,va... | 0 | 0 | 0 | 0 | 0 | 6,403 | 0 | 73 | 113 |
fdf60a95ab6ea7e7941b21b1434f1f1f7908eeb0 | 13,728 | py | Python | train_single_scale.py | Mawiszus/World-GAN | 0ad21849e284e18c44e7ffede0eefb764e0ff4bb | [
"MIT"
] | 41 | 2021-06-21T03:31:16.000Z | 2022-02-17T08:06:07.000Z | train_single_scale.py | codingwatching/World-GAN | 0ad21849e284e18c44e7ffede0eefb764e0ff4bb | [
"MIT"
] | 1 | 2021-10-24T02:08:53.000Z | 2021-11-14T22:15:40.000Z | train_single_scale.py | codingwatching/World-GAN | 0ad21849e284e18c44e7ffede0eefb764e0ff4bb | [
"MIT"
] | 1 | 2021-09-12T08:00:52.000Z | 2021-09-12T08:00:52.000Z | import os
import subprocess
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from loguru import logger
from tqdm import tqdm
import numpy as np
import wandb
from draw_concat import draw_concat
from generate_noise import generate_spatial_noise
from minecraft.level_utils im... | 43.719745 | 119 | 0.565487 | import os
import subprocess
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.nn.functional import interpolate
from loguru import logger
from tqdm import tqdm
import numpy as np
import wandb
from draw_concat import draw_concat
from generate_noise import generate... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 22 |
5d89df9aec90bf9a7fbbad8609de99387bb74a7a | 6,460 | py | Python | analysis_vis/scripts/PromisPlotMetrics.py | arubenstein/deep_seq | 96c2bc131dc3bd3afb05486bfbc6f7297c57e604 | [
"BSD-2-Clause"
] | null | null | null | analysis_vis/scripts/PromisPlotMetrics.py | arubenstein/deep_seq | 96c2bc131dc3bd3afb05486bfbc6f7297c57e604 | [
"BSD-2-Clause"
] | null | null | null | analysis_vis/scripts/PromisPlotMetrics.py | arubenstein/deep_seq | 96c2bc131dc3bd3afb05486bfbc6f7297c57e604 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
"""Plot all graph metrics as histograms"""
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument ('--list_nodes', '-d', nargs=2, action='append', help="text file which contains sequences and the label you want to use for th... | 44.551724 | 257 | 0.680805 | #!/usr/bin/env python
"""Plot all graph metrics as histograms"""
import itertools
import sys
import operator
import numpy as np
import argparse
from general_seq import conv
from general_seq import seq_IO
from plot import conv as pconv
from plot import hist
from collections import Counter
import matplotlib.pyplot as pl... | 0 | 0 | 0 | 0 | 0 | 5,482 | 0 | 20 | 341 |
f5e52d8f8be3ea6b39880e3f6eb0aa7a22e1d02d | 5,393 | py | Python | qtapp/widgets/C_QNavigator.py | philipdavis82/ModernQt | 2708f4227e4d9a6e9f7d3a0987a79a4d34e45b6a | [
"MIT"
] | 1 | 2021-08-11T01:58:27.000Z | 2021-08-11T01:58:27.000Z | qtapp/widgets/C_QNavigator.py | philipdavis82/ModernQt | 2708f4227e4d9a6e9f7d3a0987a79a4d34e45b6a | [
"MIT"
] | null | null | null | qtapp/widgets/C_QNavigator.py | philipdavis82/ModernQt | 2708f4227e4d9a6e9f7d3a0987a79a4d34e45b6a | [
"MIT"
] | null | null | null | # Left side navigator
import PyQt5.QtCore as QtCore
import PyQt5.QtGui as QtGui
import PyQt5.QtWidgets as QtWidgets
NAVIGATION_STYLE_SHEET="""
QWidget
{
color: #1f1f1f;
background-color: #1f1f1f;
}
QPushButton
{
font-size: 32px;
border: none;
padding: 0px;
font-size: 32px;
padding... | 30.297753 | 132 | 0.656036 | # Left side navigator
import __global__,os
import PyQt5.QtCore as QtCore
import PyQt5.QtGui as QtGui
import PyQt5.QtWidgets as QtWidgets
NAVIGATION_STYLE_SHEET="""
QWidget
{
color: #1f1f1f;
background-color: #1f1f1f;
}
QPushButton
{
font-size: 32px;
border: none;
padding: 0px;
font-si... | 0 | 0 | 0 | 4,499 | 0 | 0 | 0 | -1 | 91 |
eca278c2ee6deb3d003508dc2e1fdd4ff13899ae | 1,127 | py | Python | soco/exceptions.py | Nnamdi/sonos-group-manager | 0887031551f47cd27e55a31b0293138f659e703f | [
"MIT"
] | 3 | 2015-08-24T18:34:23.000Z | 2017-03-07T11:00:22.000Z | soco/exceptions.py | Nnamdi/sonos-group-manager | 0887031551f47cd27e55a31b0293138f659e703f | [
"MIT"
] | null | null | null | soco/exceptions.py | Nnamdi/sonos-group-manager | 0887031551f47cd27e55a31b0293138f659e703f | [
"MIT"
] | 1 | 2021-07-18T03:19:07.000Z | 2021-07-18T03:19:07.000Z | # -*- coding: utf-8 -*-
""" Exceptions that are used by SoCo """
| 27.487805 | 79 | 0.709849 | # -*- coding: utf-8 -*-
""" Exceptions that are used by SoCo """
class SoCoException(Exception):
""" base exception raised by SoCo, containing the UPnP error code """
class UnknownSoCoException(SoCoException):
""" raised if reason of the error can not be extracted
The exception object will contain the... | 0 | 0 | 0 | 941 | 0 | 0 | 0 | 0 | 115 |
a8225798514d9d01e55862c8b25f9000b322d24a | 95 | py | Python | chia/types/spend_bundle_conditions.py | nur-azhar/chia-blockchain | 890da94024b4742bbbb93e47f72113e8344a20b3 | [
"Apache-2.0"
] | 1 | 2022-03-22T18:11:52.000Z | 2022-03-22T18:11:52.000Z | chia/types/spend_bundle_conditions.py | nur-azhar/chia-blockchain | 890da94024b4742bbbb93e47f72113e8344a20b3 | [
"Apache-2.0"
] | null | null | null | chia/types/spend_bundle_conditions.py | nur-azhar/chia-blockchain | 890da94024b4742bbbb93e47f72113e8344a20b3 | [
"Apache-2.0"
] | null | null | null | from chia_rs import Spend, SpendBundleConditions
__all__ = ["Spend", "SpendBundleConditions"]
| 23.75 | 48 | 0.8 | from chia_rs import Spend, SpendBundleConditions
__all__ = ["Spend", "SpendBundleConditions"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f671136c39d6d927ecbbd01627b9ff662d333587 | 3,317 | py | Python | BioSQL/DBUtils.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | 3 | 2017-10-23T21:53:57.000Z | 2019-09-23T05:14:12.000Z | BioSQL/DBUtils.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | null | null | null | BioSQL/DBUtils.py | eoc21/biopython | c0f8db8f55a506837c320459957a0ce99b0618b6 | [
"PostgreSQL"
] | 6 | 2020-02-26T16:34:20.000Z | 2020-03-04T15:34:00.000Z | # Copyright 2002 by Andrew Dalke. All rights reserved.
# Revisions 2007-2008 by Peter Cock.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
#
# Note that BioSQL (including the database schema and scr... | 30.154545 | 77 | 0.621043 | # Copyright 2002 by Andrew Dalke. All rights reserved.
# Revisions 2007-2008 by Peter Cock.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
#
# Note that BioSQL (including the database schema and scr... | 0 | 0 | 0 | 2,507 | 0 | 101 | 0 | 0 | 139 |
8619c950c392865b21c93eb16b05442fb12255e2 | 3,526 | py | Python | cloudnetpy/products/product_tools.py | MoLochmann/cloudnetpy | 328a54eecc0ce0fe5a3bb2018782c8de19ef7216 | [
"MIT"
] | 1 | 2019-12-05T19:59:24.000Z | 2019-12-05T19:59:24.000Z | cloudnetpy/products/product_tools.py | KarlJohnsonnn/cloudnetpy | eae2966a515829108899a527b8d34ddff2472124 | [
"MIT"
] | null | null | null | cloudnetpy/products/product_tools.py | KarlJohnsonnn/cloudnetpy | eae2966a515829108899a527b8d34ddff2472124 | [
"MIT"
] | null | null | null | """General helper classes and functions for all products."""
import netCDF4
import cloudnetpy.utils as utils
def read_nc_fields(nc_file, names):
"""Reads selected variables from a netCDF file.
Args:
nc_file (str): netCDF file name.
names (str/list): Variables to be read, e.g. 'temperature' ... | 34.23301 | 81 | 0.637266 | """General helper classes and functions for all products."""
import netCDF4
import cloudnetpy.utils as utils
class CategorizeBits:
"""Class holding information about category and quality bits.
Args:
categorize_file (str): Categorize file name.
Attributes:
category_bits (dict): Dictionary... | 0 | 0 | 0 | 2,001 | 0 | 197 | 0 | 0 | 72 |
7456be1dd24d12db9457d398933f4ea547e55224 | 2,380 | py | Python | iniesta/config.py | crazytruth/iniesta | 1e1cc079d04758f319c6bcee4a8a14a176e7b24e | [
"MIT"
] | 1 | 2021-03-14T08:27:43.000Z | 2021-03-14T08:27:43.000Z | iniesta/config 2.py | crazytruth/iniesta | 1e1cc079d04758f319c6bcee4a8a14a176e7b24e | [
"MIT"
] | 1 | 2020-10-08T08:14:04.000Z | 2020-10-08T08:14:04.000Z | iniesta/config.py | crazytruth/iniesta | 1e1cc079d04758f319c6bcee4a8a14a176e7b24e | [
"MIT"
] | null | null | null | from typing import Optional, Dict, List
#: The redlock caches
INIESTA_CACHES: Dict[str, dict] = {
"iniesta1": {"HOST": "localhost", "PORT": 6379, "DATABASE": 1},
"iniesta2": {"HOST": "localhost", "PORT": 6379, "DATABASE": 2},
"iniesta3": {"HOST": "localhost", "PORT": 6379, "DATABASE": 3},
}
#: The initial... | 36.615385 | 113 | 0.764286 | from typing import Optional, Dict, List
#: The redlock caches
INIESTA_CACHES: Dict[str, dict] = {
"iniesta1": {"HOST": "localhost", "PORT": 6379, "DATABASE": 1},
"iniesta2": {"HOST": "localhost", "PORT": 6379, "DATABASE": 2},
"iniesta3": {"HOST": "localhost", "PORT": 6379, "DATABASE": 3},
}
#: The initial... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fbd7345df2d3f5d20f5e14e99c1c43086d81847e | 1,331 | py | Python | src/regex/executor.py | avli/nfa-regex | fe9a9817773bfeb36c1069b51fad52e7329361aa | [
"MIT"
] | 5 | 2019-06-24T08:13:53.000Z | 2022-01-04T12:41:08.000Z | src/regex/executor.py | avli/nfa-regex | fe9a9817773bfeb36c1069b51fad52e7329361aa | [
"MIT"
] | null | null | null | src/regex/executor.py | avli/nfa-regex | fe9a9817773bfeb36c1069b51fad52e7329361aa | [
"MIT"
] | 1 | 2021-03-10T01:41:47.000Z | 2021-03-10T01:41:47.000Z | """The main API module. """
from __future__ import absolute_import, print_function
from .compiler import Match, compile
from .tokenizer import to_postfix
def match(pattern, s):
"""Apply a pattern to a string and return the result of the match.
:param pattern: A POSIX-like regular expression.
:type patt... | 26.62 | 70 | 0.687453 | """The main API module. """
from __future__ import absolute_import, print_function
from .compiler import State, SplitState, Match, compile
from .tokenizer import to_postfix
def update_states(current_states, state):
if state in current_states:
return
elif isinstance(state, State) or state is Match:
... | 0 | 0 | 0 | 0 | 0 | 491 | 0 | 19 | 46 |
db5fb949ccde43873ffc3924ac1e5571fce6f30b | 61 | py | Python | pymusiclooper/__init__.py | sysnoble/PyMusicLooper | 67e0c1d9d6766c5ca390ec0b5824b0d683e5600e | [
"MIT"
] | null | null | null | pymusiclooper/__init__.py | sysnoble/PyMusicLooper | 67e0c1d9d6766c5ca390ec0b5824b0d683e5600e | [
"MIT"
] | null | null | null | pymusiclooper/__init__.py | sysnoble/PyMusicLooper | 67e0c1d9d6766c5ca390ec0b5824b0d683e5600e | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# coding=utf-8
__version__ = "3.0.0-dev"
| 12.2 | 25 | 0.655738 | #!/usr/bin/python3
# coding=utf-8
__version__ = "3.0.0-dev"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
baeb6676733dcc0b2aa9f9b5fcee68ba51f62fe5 | 710 | py | Python | main_monte.py | veritaem/RL_udemy | f817be686b85406fbddd961441c4970bf8b05045 | [
"MIT"
] | null | null | null | main_monte.py | veritaem/RL_udemy | f817be686b85406fbddd961441c4970bf8b05045 | [
"MIT"
] | null | null | null | main_monte.py | veritaem/RL_udemy | f817be686b85406fbddd961441c4970bf8b05045 | [
"MIT"
] | null | null | null | import gym
from monte_carlo import Agent
if __name__=='__main__':
env=gym.make("Blackjack-v0")
agent=Agent()
n_episodes=500000
for i in range(n_episodes):
if i%50000==0:
print(f'starting episode {i}')
observation=env.reset()
done=False
while not d... | 29.583333 | 63 | 0.574648 | import gym
from monte_carlo import Agent
if __name__=='__main__':
env=gym.make("Blackjack-v0")
agent=Agent()
n_episodes=500000
for i in range(n_episodes):
if i%50000==0:
print(f'starting episode {i}')
observation=env.reset()
done=False
while not d... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
afb47de2e54683cd32ecb92965e3cbf57e48613c | 1,871 | py | Python | src/day7.py | mfrdbigolin/AoC2020 | 18757f0d610ad6a7064a22f94688900208260e48 | [
"MIT"
] | null | null | null | src/day7.py | mfrdbigolin/AoC2020 | 18757f0d610ad6a7064a22f94688900208260e48 | [
"MIT"
] | null | null | null | src/day7.py | mfrdbigolin/AoC2020 | 18757f0d610ad6a7064a22f94688900208260e48 | [
"MIT"
] | null | null | null | #!/bin/python3
# Copyright (C) 2020 Matheus Fernandes Bigolin <mfrdrbigolin@disroot.org>
# SPDX-License-Identifier: MIT
"""Day Seven, Handy Haversacks."""
# I had to postpone this day because I was not aware of the techniques of
# graph theory to solve this problem.
from sys import argv
from re import findall
fro... | 24.946667 | 74 | 0.61411 | #!/bin/python3
# Copyright (C) 2020 Matheus Fernandes Bigolin <mfrdrbigolin@disroot.org>
# SPDX-License-Identifier: MIT
"""Day Seven, Handy Haversacks."""
# I had to postpone this day because I was not aware of the techniques of
# graph theory to solve this problem.
from sys import argv
from re import findall
fro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 |
20afce4036b3521f093a9b82048f9c2a04955401 | 14,324 | py | Python | main.py | Tiamat-Tech/DETReg | cea2cd2db456e502522a04f8cc4f38326c2466de | [
"Apache-2.0"
] | 212 | 2021-06-09T10:32:25.000Z | 2022-03-29T07:48:07.000Z | main.py | Tiamat-Tech/DETReg | cea2cd2db456e502522a04f8cc4f38326c2466de | [
"Apache-2.0"
] | 34 | 2021-07-16T11:27:03.000Z | 2022-03-25T08:42:16.000Z | main.py | Tiamat-Tech/DETReg | cea2cd2db456e502522a04f8cc4f38326c2466de | [
"Apache-2.0"
] | 23 | 2021-07-28T00:15:28.000Z | 2022-03-17T11:35:08.000Z | # ------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# ------------------------------------------------------------------------
# Modified from DETR (ht... | 44.073846 | 150 | 0.629363 | # ------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# ------------------------------------------------------------------------
# Modified from DETR (ht... | 0 | 0 | 0 | 0 | 0 | 12,780 | 0 | 86 | 378 |
978d471b17063ea5a74f283f2e45bbf497328a77 | 2,041 | py | Python | tests/Action/test_Conditional.py | aalireza/arep | 95f0ec6282c4f5d12462d2a64e82d6777f51bf06 | [
"BSD-3-Clause"
] | 1 | 2022-01-14T00:15:26.000Z | 2022-01-14T00:15:26.000Z | tests/Action/test_Conditional.py | aalireza/arep | 95f0ec6282c4f5d12462d2a64e82d6777f51bf06 | [
"BSD-3-Clause"
] | null | null | null | tests/Action/test_Conditional.py | aalireza/arep | 95f0ec6282c4f5d12462d2a64e82d6777f51bf06 | [
"BSD-3-Clause"
] | null | null | null | from ..utils import results_formatter
from functools import partial
import os
results_formatter = partial(results_formatter, name=os.path.basename(__file__))
results_with_elif = results_formatter({
(2, 0), (13, 0)
})
results_with_else = results_formatter({
(2, 0), (11, 5)
})
results_is_ifexp = results_forma... | 30.462687 | 79 | 0.675649 | from ..utils import action, results_formatter
from functools import partial
import arep
import pytest
import os
results_formatter = partial(results_formatter, name=os.path.basename(__file__))
results_with_elif = results_formatter({
(2, 0), (13, 0)
})
results_with_else = results_formatter({
(2, 0), (11, 5)
})... | 0 | 1,340 | 0 | 0 | 0 | 0 | 0 | -10 | 90 |
9b8af072244e762dbf07841299fca6ff38da8282 | 740 | py | Python | 5. Probability and Statistics/probability-fundamentals/Probability Rules-378.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | 5. Probability and Statistics/probability-fundamentals/Probability Rules-378.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | 5. Probability and Statistics/probability-fundamentals/Probability Rules-378.py | bibekuchiha/dataquest | c7d8a2966fe2eee864442a59d64309033ea9993e | [
"MIT"
] | null | null | null | ## 1. Sample Space ##
coin_toss_omega = {'TH','HT','HH','TT'}
## 2. Probability of Events ##
p_sum_6 = 5/ 36
p_lower_15 = 36/ 36
p_greater_13 = 0/ 36
## 3. Certain and Impossible Events ##
p_2_or_4 = 4/ 36
p_12_or_13 = 1/ 36
## 4. The Addition Rule ##
p_5_or_9 = (4/36) + (4/36)
p_even_or_less_2 = (18/36) + (0... | 14.509804 | 40 | 0.645946 | ## 1. Sample Space ##
coin_toss_omega = {'TH','HT','HH','TT'}
## 2. Probability of Events ##
p_sum_6 = 5/ 36
p_lower_15 = 36/ 36
p_greater_13 = 0/ 36
## 3. Certain and Impossible Events ##
p_2_or_4 = 4/ 36
p_12_or_13 = 1/ 36
## 4. The Addition Rule ##
p_5_or_9 = (4/36) + (4/36)
p_even_or_less_2 = (18/36) + (0... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
420dc3cb1fda2bf37b4238763133c898f1af9b53 | 304 | py | Python | Python_OO/NumeroComParametrodeVariavel.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null | Python_OO/NumeroComParametrodeVariavel.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null | Python_OO/NumeroComParametrodeVariavel.py | Madara701/Python_OO | 8d67569a8c4771dd82f5259c2ed5e782cd4e4036 | [
"Apache-2.0"
] | null | null | null |
Funcao(1,2,3, 'fabio')
'''
a utilizao do args serve para poder passa mais de um parametro cqunado declaramos a funo ou uma classe
sempre utilizamos * ou ** para transformar em tupla ou dicionario
'''
F1(nome ='Fabio',idade=25)
| 23.384615 | 106 | 0.710526 | def Funcao(*args):
print(args)
Funcao(1,2,3, 'fabio')
'''
a utilização do args serve para poder passa mais de um parametro cqunado declaramos a função ou uma classe
sempre utilizamos * ou ** para transformar em tupla ou dicionario
'''
def F1(**Kwargs):
print(Kwargs)
F1(nome ='Fabio',idade=25)
| 8 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 44 |
fdcb49336a1fb5846df01b552975c21502fd5069 | 8,426 | py | Python | src/cowrie/output/omniscidb.py | Zeerg/cowrie | 27c5c416e52b87bfa7d4c75ec8fbbe08203f5949 | [
"BSD-3-Clause"
] | null | null | null | src/cowrie/output/omniscidb.py | Zeerg/cowrie | 27c5c416e52b87bfa7d4c75ec8fbbe08203f5949 | [
"BSD-3-Clause"
] | null | null | null | src/cowrie/output/omniscidb.py | Zeerg/cowrie | 27c5c416e52b87bfa7d4c75ec8fbbe08203f5949 | [
"BSD-3-Clause"
] | null | null | null | # A simple logger to export events to omnisci
from __future__ import absolute_import, division
| 38.474886 | 76 | 0.559221 | # A simple logger to export events to omnisci
from __future__ import absolute_import, division
import geoip2.database
import pymapd as pmd
from twisted.python import log
import cowrie.core.output
from cowrie.core.config import CowrieConfig
class CowrieOutput():
def __init__(self):
self.session = None... | 0 | 0 | 0 | 8,133 | 0 | 0 | 0 | 35 | 160 |
b2db234b1ac27dbf2278c75c63c341c886c4d51a | 738 | py | Python | scripts/fun/whatsapp_simple_stats.py | oxalorg/dotfiles | f49258abcc1dbc17fbb5fb9548863fce75779a17 | [
"MIT"
] | 13 | 2016-12-07T23:35:02.000Z | 2021-05-18T14:48:46.000Z | scripts/fun/whatsapp_simple_stats.py | oxalorg/dotfiles | f49258abcc1dbc17fbb5fb9548863fce75779a17 | [
"MIT"
] | 2 | 2017-08-15T16:29:24.000Z | 2020-04-10T06:36:19.000Z | scripts/fun/whatsapp_simple_stats.py | oxalorg/dotfiles | f49258abcc1dbc17fbb5fb9548863fce75779a17 | [
"MIT"
] | 5 | 2017-01-23T22:36:44.000Z | 2021-11-02T20:44:45.000Z | import datetime
import sys
date_start = datetime.date(2015, 10, 5)
date_end = datetime.date(2016, 2, 8)
date_delta = datetime.timedelta(days=1)
whatsapp_file = sys.argv[1]
with open(whatsapp_file, 'r') as fp:
lines = fp.readlines()
day_count = {}
while date_start <= date_end:
date_start += date_delta
d... | 21.085714 | 61 | 0.673442 | import datetime
import sys
import pprint
date_start = datetime.date(2015, 10, 5)
date_end = datetime.date(2016, 2, 8)
date_delta = datetime.timedelta(days=1)
whatsapp_file = sys.argv[1]
with open(whatsapp_file, 'r') as fp:
lines = fp.readlines()
day_count = {}
while date_start <= date_end:
date_start += da... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -8 | 22 |
7cbad9a991b60892e16f0c92b20f36073fe23c15 | 1,300 | py | Python | lecture3/tests/question-3_4.py | ggorman/Introduction-Python-programming-2018 | 739b864c1499ccdbf9010d8fe774087a07bb09ee | [
"CC-BY-3.0"
] | 1 | 2019-01-12T12:43:24.000Z | 2019-01-12T12:43:24.000Z | lecture3/tests/question-3_4.py | ggorman/Introduction-Python-programming-2018 | 739b864c1499ccdbf9010d8fe774087a07bb09ee | [
"CC-BY-3.0"
] | null | null | null | lecture3/tests/question-3_4.py | ggorman/Introduction-Python-programming-2018 | 739b864c1499ccdbf9010d8fe774087a07bb09ee | [
"CC-BY-3.0"
] | 3 | 2019-05-16T21:08:48.000Z | 2022-02-21T06:54:57.000Z | test = {
'name': 'question 3.4',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> type(my_factorial) == types.FunctionType
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> len(... | 20.634921 | 98 | 0.372308 | test = {
'name': 'question 3.4',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> type(my_factorial) == types.FunctionType
True
""",
'hidden': False,
'locked': False
},
{
'code': r"""
>>> len(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
424afe2b1d98716108c7d7f1fc4d8683ffc2df68 | 187 | py | Python | poolink_backend/apps/link/urls.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | poolink_backend/apps/link/urls.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | poolink_backend/apps/link/urls.py | jaethewiederholen/Poolink_backend | 3a1b28856bc8916aedb7735de8b64fef3269ef1b | [
"MIT"
] | null | null | null | from django.urls import path
from .api.views import link_search_view, link_view
app_name = "links"
urlpatterns = [
path("", view=link_view),
path("search", link_search_view),
]
| 18.7 | 50 | 0.716578 | from django.urls import path
from .api.views import link_search_view, link_view
app_name = "links"
urlpatterns = [
path("", view=link_view),
path("search", link_search_view),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e7cae6339bd56a0e07e9bbfd5eb98c5d42b8a782 | 1,426 | py | Python | Winpy/CaptchaDataset.py | Soapy-Salted-Fish-King/captcha_break | 96abe0a443db9d9bb81563f0fb894687cf88f0dd | [
"MIT"
] | 2,486 | 2017-03-29T16:48:25.000Z | 2022-03-31T17:31:25.000Z | Winpy/CaptchaDataset.py | Soapy-Salted-Fish-King/captcha_break | 96abe0a443db9d9bb81563f0fb894687cf88f0dd | [
"MIT"
] | 67 | 2017-04-01T03:30:20.000Z | 2022-03-08T14:12:03.000Z | Winpy/CaptchaDataset.py | Soapy-Salted-Fish-King/captcha_break | 96abe0a443db9d9bb81563f0fb894687cf88f0dd | [
"MIT"
] | 706 | 2017-03-30T01:22:34.000Z | 2022-03-28T16:16:27.000Z | import torch.nn as nn
| 41.941176 | 101 | 0.701964 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from torchvision.transforms.functional import to_tensor, to_pil_image
from captcha.image import ImageCaptcha
from tqdm import tqdm
import random
import numpy as np
from collections import Order... | 0 | 0 | 0 | 1,075 | 0 | 0 | 0 | 96 | 233 |
9674fbb105b7e5ebdf80a78a0ed10c1b5a8f04fa | 2,327 | py | Python | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlCosmicsInCollisions_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlCosmicsInCollisions_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Alignment/CommonAlignmentProducer/python/ALCARECOTkAlCosmicsInCollisions_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | # Author : Andreas Mussgiller
# Date : July 1st, 2010
# last update: $Date: 2010/03/17 18:17:34 $ by $Author: mussgill $
import FWCore.ParameterSet.Config as cms
#_________________________________HLT bits___________________________________________
import HLTrigger.HLTfilters.hltHighLevel_cfi
ALCARECOTkAlCos... | 41.553571 | 176 | 0.762355 | # Author : Andreas Mussgiller
# Date : July 1st, 2010
# last update: $Date: 2010/03/17 18:17:34 $ by $Author: mussgill $
import FWCore.ParameterSet.Config as cms
#_________________________________HLT bits___________________________________________
import HLTrigger.HLTfilters.hltHighLevel_cfi
ALCARECOTkAlCos... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 22 |
718e53e07458ffd516f7910c2e12d5132f259d55 | 8,462 | py | Python | argoverse/evaluation/eval_tracking.py | MengshiLi/argoverse-api | 52d6947ab79a3c24a2cf9747cb16284237625d47 | [
"MIT"
] | null | null | null | argoverse/evaluation/eval_tracking.py | MengshiLi/argoverse-api | 52d6947ab79a3c24a2cf9747cb16284237625d47 | [
"MIT"
] | null | null | null | argoverse/evaluation/eval_tracking.py | MengshiLi/argoverse-api | 52d6947ab79a3c24a2cf9747cb16284237625d47 | [
"MIT"
] | 1 | 2020-07-14T13:49:14.000Z | 2020-07-14T13:49:14.000Z | # <Copyright 2019, Argo AI, LLC. Released under the MIT license.>
import argparse
import glob
import logging
import os
import pathlib
from typing import Any, Dict, List, TextIO, Union
import motmetrics as mm
import numpy as np
from argoverse.evaluation.eval_utils import get_pc_inside_bbox, label_to_bbox, leave_only_r... | 34.259109 | 120 | 0.627629 | # <Copyright 2019, Argo AI, LLC. Released under the MIT license.>
import argparse
import glob
import json
import logging
import os
import pathlib
from typing import Any, Dict, List, TextIO, Union
import motmetrics as mm
import numpy as np
from argoverse.evaluation.eval_utils import get_pc_inside_bbox, label_to_bbox, ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 22 |
99f394f8217046df0046db4afd0ebf860c353a3a | 441 | py | Python | targets/test_router/rec_pkt.py | liusheng198933/behavioral-model | c713879458e4d97266ba36ea1c18475490e8382d | [
"Apache-2.0"
] | null | null | null | targets/test_router/rec_pkt.py | liusheng198933/behavioral-model | c713879458e4d97266ba36ea1c18475490e8382d | [
"Apache-2.0"
] | null | null | null | targets/test_router/rec_pkt.py | liusheng198933/behavioral-model | c713879458e4d97266ba36ea1c18475490e8382d | [
"Apache-2.0"
] | null | null | null |
if __name__ == '__main__':
main()
| 20.045455 | 46 | 0.605442 | from scapy.all import sniff, sendp
import struct
import sys
def handle_pkt(pkt):
pkt = str(pkt)
preamble = pkt[:8]
preamble_exp = "\x00" * 8
if preamble != preamble_exp: return
pktTMP = struct.unpack("!I", pkt[8:12])[0]
msg = pkt[66:len(pkt)]
print pktTMP
print msg
sys.stdout.flush(... | 0 | 0 | 0 | 0 | 0 | 296 | 0 | -6 | 112 |
69204edc1381caa9d326ae4e310094b1c4177b34 | 1,181 | py | Python | esmvalcore/preprocessor/_derive/xco2.py | markelg/ESMValCore | b2f7ffc3232f174dd5ebc50ad20b4a02d3517c2c | [
"Apache-2.0"
] | 26 | 2019-06-07T07:50:07.000Z | 2022-03-22T21:04:01.000Z | esmvalcore/preprocessor/_derive/xco2.py | markelg/ESMValCore | b2f7ffc3232f174dd5ebc50ad20b4a02d3517c2c | [
"Apache-2.0"
] | 1,370 | 2019-06-06T09:03:07.000Z | 2022-03-31T04:37:20.000Z | esmvalcore/preprocessor/_derive/xco2.py | zklaus/ESMValCore | 5656fb8b546eeb4d750a424de7ed56a237edfabb | [
"Apache-2.0"
] | 26 | 2019-07-03T13:08:48.000Z | 2022-03-02T16:08:47.000Z | """Derivation of variable ``xco2``."""
| 31.078947 | 77 | 0.645216 | """Derivation of variable ``xco2``."""
from iris import Constraint
from ._baseclass import DerivedVariableBase
from ._shared import column_average
class DerivedVariable(DerivedVariableBase):
"""Derivation of variable ``xco2``."""
@staticmethod
def required(project):
"""Declare the variables nee... | 0 | 889 | 0 | 119 | 0 | 0 | 0 | 42 | 91 |
56d16a3329cb464251701a96d5087b3a275d954a | 264 | py | Python | art/_yaml.py | kosma/art | 2947e8f170139b8c4d2378a1a3e86c13548a57d1 | [
"WTFPL"
] | 9 | 2017-07-30T21:45:24.000Z | 2020-04-01T16:31:12.000Z | art/_yaml.py | ellisto/gitlab-art | 2947e8f170139b8c4d2378a1a3e86c13548a57d1 | [
"WTFPL"
] | 15 | 2020-04-07T08:57:06.000Z | 2020-07-02T17:50:44.000Z | art/_yaml.py | kosma/art | 2947e8f170139b8c4d2378a1a3e86c13548a57d1 | [
"WTFPL"
] | 3 | 2018-01-08T17:20:57.000Z | 2020-03-31T00:07:00.000Z | # -*- coding: utf-8 -*-
| 18.857143 | 68 | 0.640152 | # -*- coding: utf-8 -*-
import yaml
def load(path):
with open(path, 'r') as stream:
return yaml.safe_load(stream=stream)
def save(path, obj):
with open(path, 'w') as stream:
yaml.safe_dump(obj, stream=stream, default_flow_style=False)
| 0 | 0 | 0 | 0 | 0 | 179 | 0 | -10 | 69 |
cbbeeaeaf2df763f524eea85585bb316de69a79d | 3,331 | py | Python | examples/blacklist.py | Leechael/flask-jwt-extended | aff5175ab65d4fa12b58f2b46c83c1cbfb13cca6 | [
"MIT"
] | null | null | null | examples/blacklist.py | Leechael/flask-jwt-extended | aff5175ab65d4fa12b58f2b46c83c1cbfb13cca6 | [
"MIT"
] | 1 | 2021-03-25T22:35:35.000Z | 2021-03-25T22:35:35.000Z | examples/blacklist.py | caser789/flask-jwt | 4b06a20799f5bee237763add3af5b80c79ac684f | [
"MIT"
] | 1 | 2021-05-13T18:15:55.000Z | 2021-05-13T18:15:55.000Z | from datetime import timedelta
import simplekv
import simplekv.memory
from flask import Flask
from flask_jwt_extended import JWTManager
# Setup flask
app = Flask(__name__)
app.secret_key = 'super-secret'
# Configure access token expires time
app.config['JWT_ACCESS_TOKEN_EXPIRES'] = timedelta(minutes=5)
# Enable an... | 31.424528 | 82 | 0.710597 | from datetime import timedelta
import simplekv
import simplekv.memory
from flask import Flask, request, jsonify
from flask_jwt_extended import JWTManager, jwt_required, \
get_jwt_identity, revoke_token, unrevoke_token, \
get_stored_tokens, get_all_stored_tokens, create_access_token, \
create_refresh_token... | 0 | 1,824 | 0 | 0 | 0 | 0 | 0 | 229 | 158 |
7d6f0cea619c754982d40159fba61994c36df25d | 45 | py | Python | new.py | debriv/pweb1 | 43087f3d36ed821e35b26f176380de8c0fe3c517 | [
"Apache-2.0"
] | null | null | null | new.py | debriv/pweb1 | 43087f3d36ed821e35b26f176380de8c0fe3c517 | [
"Apache-2.0"
] | null | null | null | new.py | debriv/pweb1 | 43087f3d36ed821e35b26f176380de8c0fe3c517 | [
"Apache-2.0"
] | null | null | null | n = input( "Name: ")
print(f"My name is {n}") | 22.5 | 24 | 0.555556 | n = input( "Name: ")
print(f"My name is {n}") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cf7c86a00dd6af622a50f8e0c3b25e86ae1a5b41 | 14,837 | py | Python | tests/input/field_types/test_field_type_string.py | GShepherdTC/tcex | 70b1199b8bb9e63f53e2ba792489267108c909cd | [
"Apache-2.0"
] | null | null | null | tests/input/field_types/test_field_type_string.py | GShepherdTC/tcex | 70b1199b8bb9e63f53e2ba792489267108c909cd | [
"Apache-2.0"
] | null | null | null | tests/input/field_types/test_field_type_string.py | GShepherdTC/tcex | 70b1199b8bb9e63f53e2ba792489267108c909cd | [
"Apache-2.0"
] | null | null | null | """Testing TcEx Input module field types."""
# standard library
from typing import TYPE_CHECKING
# third-party
# first-party
if TYPE_CHECKING:
# first-party
# pylint: disable=no-self-argument, no-self-use
| 32.395197 | 98 | 0.497405 | """Testing TcEx Input module field types."""
# standard library
from typing import TYPE_CHECKING, Dict, List, Optional, Union
# third-party
import pytest
from pydantic import BaseModel, validator
# first-party
from tcex.input.field_types import String, always_array, conditional_required, string
from tcex.pleb.scoped_... | 0 | 13,977 | 0 | 308 | 0 | 0 | 0 | 180 | 158 |
a3cff8a63dce741ea09295246519053f01984fb9 | 1,309 | py | Python | testweet/listFiltereddirectMessages.py | fuzzyhandle/pihangout | 9382a9bde92d753d52584d99e2e52987d504da54 | [
"MIT"
] | null | null | null | testweet/listFiltereddirectMessages.py | fuzzyhandle/pihangout | 9382a9bde92d753d52584d99e2e52987d504da54 | [
"MIT"
] | null | null | null | testweet/listFiltereddirectMessages.py | fuzzyhandle/pihangout | 9382a9bde92d753d52584d99e2e52987d504da54 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, print_function
from datetime import datetime
if __name__ == '__main__':
starttime = datetime.now()
api = getTwitterAPIHandle()
myid = api.me().id
#Get Default number of recent tweets
dm = api.direct_messages()
#print (dm)
filters= (filter_for_author,)
... | 24.240741 | 82 | 0.722689 | from __future__ import absolute_import, print_function
from datetime import datetime
import json
import urllib
import time
from pprint import pprint
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
from tweepy import API
from itertools import ifilter
... | 0 | 0 | 0 | 0 | 0 | 565 | 0 | 21 | 305 |
ec1e47db5f2ec0dc6381106a7822899e4b8a3ca3 | 1,033 | py | Python | lib/model/hough_voting/modules/hough_voting.py | mrlooi/Detectron.pytorch | e1bde064b763de1428c7494b86a365baff4fa1d4 | [
"MIT"
] | null | null | null | lib/model/hough_voting/modules/hough_voting.py | mrlooi/Detectron.pytorch | e1bde064b763de1428c7494b86a365baff4fa1d4 | [
"MIT"
] | null | null | null | lib/model/hough_voting/modules/hough_voting.py | mrlooi/Detectron.pytorch | e1bde064b763de1428c7494b86a365baff4fa1d4 | [
"MIT"
] | null | null | null | # from functions.hough_voting import HoughVotingFunction
| 49.190476 | 148 | 0.762827 | from torch.nn.modules.module import Module
from ..functions.hough_voting import HoughVotingFunction
# from functions.hough_voting import HoughVotingFunction
class HoughVoting(Module):
def __init__(self, num_classes, threshold_vote, threshold_percentage, label_threshold=500, inlier_threshold=0.9, skip_pixels=1, is_... | 0 | 0 | 0 | 853 | 0 | 0 | 0 | 56 | 67 |
c6353098091af6c161147e9ff1d4891704d585f8 | 3,118 | py | Python | trading_strategy_test.py | alfredholmes/shortterm_rnn | fe79423db80400a1d663af6f35f46b3802cbdb30 | [
"MIT"
] | null | null | null | trading_strategy_test.py | alfredholmes/shortterm_rnn | fe79423db80400a1d663af6f35f46b3802cbdb30 | [
"MIT"
] | null | null | null | trading_strategy_test.py | alfredholmes/shortterm_rnn | fe79423db80400a1d663af6f35f46b3802cbdb30 | [
"MIT"
] | null | null | null |
#get the price and volume data from file
if __name__ == '__main__':
main()
| 35.033708 | 176 | 0.614817 | import rnn
import csv, random
from functions import *
#get the price and volume data from file
def main():
scale = 3
inputs = 168
forcaster = rnn.TimeSeriesForcaster('forcaster', inputs, 2, 2, 0.001)
forcaster.restore()
daily = get_price_volume_data('hourly_btc.csv', 1, 2)
#split daily data... | 0 | 0 | 0 | 0 | 0 | 2,958 | 0 | -12 | 91 |
0e517074ab184506d992b2d3ed97bbce9eab6677 | 4,053 | py | Python | machine_learning/torch_anomaly_detection/src/data/celeba.py | iimuz/til | b100438e8ce2f369331b3be215a4b9cdce9ffda5 | [
"MIT"
] | 4 | 2020-07-25T01:20:08.000Z | 2020-10-03T12:58:15.000Z | machine_learning/torch_anomaly_detection/src/data/celeba.py | iimuz/til | b100438e8ce2f369331b3be215a4b9cdce9ffda5 | [
"MIT"
] | 29 | 2019-09-30T08:04:14.000Z | 2022-03-12T13:51:08.000Z | machine_learning/torch_anomaly_detection/src/data/celeba.py | iimuz/til | b100438e8ce2f369331b3be215a4b9cdce9ffda5 | [
"MIT"
] | 1 | 2020-08-14T05:15:51.000Z | 2020-08-14T05:15:51.000Z | """CelebA Dataset.
Notes:
- `http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html`
"""
# default packages
import logging
import pathlib
import typing as t
# third party packages
import requests
import tqdm as tqdm_std
# my packages
import src.data.dataset as dataset
import src.data.utils as ut
# logger
_logger = lo... | 29.158273 | 83 | 0.630891 | """CelebA Dataset.
Notes:
- `http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html`
"""
# default packages
import logging
import pathlib
import shutil
import typing as t
import zipfile
# third party packages
import pandas as pd
import requests
import tqdm as tqdm_std
# my packages
import src.data.dataset as dataset
i... | 432 | 0 | 0 | 1,739 | 0 | 0 | 0 | -17 | 89 |
5632ee42701d1fcbabc80e7abde275ccc5f6d2d1 | 206 | py | Python | Desafios/desafio-03.py | marielitonmb/Curso-Python3 | 26215c47c4d1eadf940b8024305b7e9ff600883b | [
"MIT"
] | null | null | null | Desafios/desafio-03.py | marielitonmb/Curso-Python3 | 26215c47c4d1eadf940b8024305b7e9ff600883b | [
"MIT"
] | null | null | null | Desafios/desafio-03.py | marielitonmb/Curso-Python3 | 26215c47c4d1eadf940b8024305b7e9ff600883b | [
"MIT"
] | null | null | null | # Aula 6 - Desafio 3: Somando dois numeros
num1 = int(input('1 numero: '))
num2 = int(input('2 numero: '))
soma = (num1 + num2)
print(f'A soma entre {num1} e {num2} eh igual a \033[7;33m{soma}\033[m')
| 22.888889 | 72 | 0.635922 | # Aula 6 - Desafio 3: Somando dois numeros
num1 = int(input('1º numero: '))
num2 = int(input('2º numero: '))
soma = (num1 + num2)
print(f'A soma entre {num1} e {num2} eh igual a \033[7;33m{soma}\033[m')
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b6029e5c3de03586995e695f33d08198c6b3bcec | 4,639 | py | Python | equilibrium-propagation/numpy_one_layer.py | jiangdaniel/dl-papers | ca85708b5629dc1ba22ec1dfc023d3a6267b0d34 | [
"MIT"
] | 1 | 2019-03-26T12:19:59.000Z | 2019-03-26T12:19:59.000Z | equilibrium-propagation/numpy_one_layer.py | jiangdaniel/ml-implementations | ca85708b5629dc1ba22ec1dfc023d3a6267b0d34 | [
"MIT"
] | 5 | 2018-11-26T05:48:52.000Z | 2018-11-26T05:50:45.000Z | equilibrium-propagation/numpy_one_layer.py | jiangdaniel/ml-implementations | ca85708b5629dc1ba22ec1dfc023d3a6267b0d34 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--epochs", type=int, default=1000)
parser.add_argument("--batch-size", t... | 36.527559 | 117 | 0.538047 | #!/usr/bin/env python3
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import numpy as np
import torch as th
import torchvision
from tqdm import tqdm
def main(args):
trainloader, testloader = get_loaders(args.batch_size, args.fashion)... | 0 | 0 | 0 | 0 | 0 | 4,006 | 0 | -9 | 181 |
00dab43f15c3b886433951b60f7cd8a4dda65920 | 995 | py | Python | tests/test_stdout_stderr.py | MisanthropicBit/colorise | c7a7e3d4b224e80f39761edfc10e5676b610ba41 | [
"BSD-3-Clause"
] | 2 | 2016-02-07T19:58:46.000Z | 2022-03-28T12:26:57.000Z | tests/test_stdout_stderr.py | MisanthropicBit/colorise | c7a7e3d4b224e80f39761edfc10e5676b610ba41 | [
"BSD-3-Clause"
] | 5 | 2018-05-25T04:36:11.000Z | 2021-01-18T19:08:04.000Z | tests/test_stdout_stderr.py | MisanthropicBit/colorise | c7a7e3d4b224e80f39761edfc10e5676b610ba41 | [
"BSD-3-Clause"
] | 2 | 2018-03-04T21:57:03.000Z | 2022-03-28T12:25:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test writing to stdout and stderr."""
| 26.184211 | 77 | 0.635176 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Test writing to stdout and stderr."""
import os
import sys
import pytest
import colorise
@pytest.mark.skip_on_windows
def test_stdout_stderr(redirect):
with redirect('stdout') as stdout:
colorise.cprint('Hello', fg='red', file=sys.stderr)
asser... | 0 | 679 | 0 | 0 | 0 | 126 | 0 | -37 | 137 |
4ac117a2732d98a9b33699c194bf06fe8aa8fc28 | 14,896 | py | Python | common/trainers/bert_trainer.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | 5 | 2020-07-12T08:27:47.000Z | 2021-10-16T11:40:48.000Z | common/trainers/bert_trainer.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | null | null | null | common/trainers/bert_trainer.py | marjanhs/procon20 | c49ad38a77e58fd84ff0409cc9f5081c6de0bf0b | [
"MIT"
] | 1 | 2021-04-12T09:54:37.000Z | 2021-04-12T09:54:37.000Z | import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
def plot_grad_flow(named_parameters):
'''Plots the gradients flowing through different layers in the net during training.
Can be used for checking for possible gradient vanishing / exploding problems.
Usage: Plug thi... | 46.55 | 188 | 0.637755 | import datetime
import os
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from torch.utils.data.distributed import DistributedSampler
from tqdm import tqdm
from tqdm import trange
from common.evaluators.bert_evaluator import BertEvaluator
from dataset... | 0 | 0 | 0 | 12,734 | 0 | 0 | 0 | 323 | 355 |
e3e23e7da12594d400ab1a9586a233be2c2e5204 | 10,834 | py | Python | check_elasticstack.py | icefish-creativ/check_elastic-stack | 7aad8dcbcff0291d8cb6bb64b2bab72feb9cd214 | [
"Apache-2.0"
] | null | null | null | check_elasticstack.py | icefish-creativ/check_elastic-stack | 7aad8dcbcff0291d8cb6bb64b2bab72feb9cd214 | [
"Apache-2.0"
] | null | null | null | check_elasticstack.py | icefish-creativ/check_elastic-stack | 7aad8dcbcff0291d8cb6bb64b2bab72feb9cd214 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# noris network AG 2020
# Tim Zllner
__date__ = '2020-06-22'
__version__ = '0.4.2'
#from docopt import docopt
import sys
from datetime import datetime
# check elasticsearch module
try:
from elasticsearch import Elasticsearch
except ImportError as missing:
print (
... | 25.313084 | 122 | 0.555012 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# noris network AG 2020
# Tim Zöllner
__date__ = '2020-06-22'
__version__ = '0.4.2'
#from docopt import docopt
import argparse
import sys
import ssl
import json
import requests
from requests.auth import HTTPBasicAuth
from datetime import datetime
# check elasticsearch modu... | 2 | 0 | 0 | 0 | 0 | 6,909 | 0 | 120 | 389 |
4c3b6b4167ba28cc061c2c1060cef6caaa82766e | 8,930 | py | Python | sed2tau/plot_data.py | masato1122/md2tau | cd9998f1da13887cbc39e70224ffed5a86fc8c11 | [
"MIT"
] | 3 | 2021-12-19T02:24:15.000Z | 2022-01-09T23:40:49.000Z | sed2tau/plot_data.py | masato1122/md2tau | cd9998f1da13887cbc39e70224ffed5a86fc8c11 | [
"MIT"
] | null | null | null | sed2tau/plot_data.py | masato1122/md2tau | cd9998f1da13887cbc39e70224ffed5a86fc8c11 | [
"MIT"
] | 3 | 2021-12-18T08:02:15.000Z | 2021-12-27T22:55:25.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#--- for matplotlib
import matplotlib
matplotlib.use('Agg')
#import seaborn as sns
#-------------------------
NUM_MULTIPLE = 5
NUM_SECTION = 500
#-------------------------
#--- plot data
#--- plot data with Lorentzian function
| 29.183007 | 98 | 0.53617 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os, sys
import numpy as np
#--- for matplotlib
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.ticker as tick
from matplotlib import cm
#import seaborn as sns
def bubble_sort_down_ID(array):
n = len(array)
ID = np.a... | 0 | 0 | 0 | 0 | 0 | 8,342 | 0 | 15 | 292 |
1265adf15844bd9340b23f8ce9cab3e09814f72a | 170 | py | Python | extensions/python/qrgen/setup.py | tungdev1209/iOS_CI_Utils | a0ce44b3fd07010721cec8cad4ee43ebe073fcf4 | [
"MIT"
] | 63 | 2019-01-27T11:00:30.000Z | 2019-02-01T12:55:11.000Z | extensions/python/qrgen/setup.py | tungdev1209/iOS_CI_Utils | a0ce44b3fd07010721cec8cad4ee43ebe073fcf4 | [
"MIT"
] | null | null | null | extensions/python/qrgen/setup.py | tungdev1209/iOS_CI_Utils | a0ce44b3fd07010721cec8cad4ee43ebe073fcf4 | [
"MIT"
] | 27 | 2019-01-27T09:56:33.000Z | 2019-01-30T06:53:43.000Z | from setuptools import setup
setup(
name='qrgen',
version='0.0.1',
entry_points={
'console_scripts': [
'qrgen=qrgen:run'
]
}
) | 17 | 29 | 0.523529 | from setuptools import setup
setup(
name='qrgen',
version='0.0.1',
entry_points={
'console_scripts': [
'qrgen=qrgen:run'
]
}
) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc0d12496a24a44ef0af787953cc533b35adbd1e | 5,062 | py | Python | exile/migrations/0001_initial.py | exildev/webpage | 0d545bd295f17e97f5c296939bc73e177e83ac55 | [
"MIT"
] | null | null | null | exile/migrations/0001_initial.py | exildev/webpage | 0d545bd295f17e97f5c296939bc73e177e83ac55 | [
"MIT"
] | null | null | null | exile/migrations/0001_initial.py | exildev/webpage | 0d545bd295f17e97f5c296939bc73e177e83ac55 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-09-14 22:38
from __future__ import unicode_literals
| 39.24031 | 154 | 0.536942 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-09-14 22:38
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Crea... | 0 | 0 | 0 | 4,850 | 0 | 0 | 0 | 30 | 68 |
725c4ff3713f6ec63c248cb9d509fa4ef3f2fc51 | 5,418 | py | Python | switch_model/hawaii/fuel_markets_expansion.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | switch_model/hawaii/fuel_markets_expansion.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | switch_model/hawaii/fuel_markets_expansion.py | ashutosh-pande/switch3 | 769d25a42c8323f24740567aa15c980f905a03e2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # For large systems, each fuel market tier is a category of capacity expansion, and
# it can be built fractionally. For small systems, each fuel market tier is one
# capacity-expansion project, and it must be fully built and/or activated each period.
# To do this, we add binary variables and confine additions and acti... | 51.6 | 138 | 0.684755 | # For large systems, each fuel market tier is a category of capacity expansion, and
# it can be built fractionally. For small systems, each fuel market tier is one
# capacity-expansion project, and it must be fully built and/or activated each period.
# To do this, we add binary variables and confine additions and acti... | 0 | 0 | 0 | 0 | 0 | 4,576 | 0 | -6 | 91 |
35b986ad00605141edcdf85fe76d44b9e67a9062 | 4,384 | py | Python | pyntpg/dataset_tabs/file_picker.py | 5tefan/py-netcdf-timeseries-gui | 47a46c576eef51e7b840b1cd48f58fc508b6beda | [
"MIT"
] | null | null | null | pyntpg/dataset_tabs/file_picker.py | 5tefan/py-netcdf-timeseries-gui | 47a46c576eef51e7b840b1cd48f58fc508b6beda | [
"MIT"
] | 5 | 2019-03-14T20:22:45.000Z | 2021-03-11T20:14:52.000Z | pyntpg/dataset_tabs/file_picker.py | 5tefan/py-netcdf-timeseries-gui | 47a46c576eef51e7b840b1cd48f58fc508b6beda | [
"MIT"
] | null | null | null |
# For testing individual widget
if __name__ == "__main__":
import sys
from PyQt5.QtWidgets import QApplication
app = QApplication(sys.argv)
main = FilePicker()
main.show()
exit(app.exec_())
| 44.282828 | 115 | 0.683622 | from PyQt5.QtCore import pyqtSignal, Qt, QSize
from PyQt5.QtWidgets import QLabel, QListWidget, QListWidgetItem, QFileDialog
from PyQt5.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QStyle, QSizePolicy, QPushButton, QAbstractItemView
class FilePicker(QWidget):
selected_files = pyqtSignal(list)
def __in... | 0 | 0 | 0 | 3,902 | 0 | 0 | 0 | 174 | 89 |
72de97fcc221369113f3d1d8e8942f5c5862693c | 977 | py | Python | utils/callbacks.py | lukasgd/cosmoflow-benchmark | 2823a308c80827b900214acfe48275858ea4d2c4 | [
"BSD-3-Clause-LBNL"
] | null | null | null | utils/callbacks.py | lukasgd/cosmoflow-benchmark | 2823a308c80827b900214acfe48275858ea4d2c4 | [
"BSD-3-Clause-LBNL"
] | null | null | null | utils/callbacks.py | lukasgd/cosmoflow-benchmark | 2823a308c80827b900214acfe48275858ea4d2c4 | [
"BSD-3-Clause-LBNL"
] | 1 | 2020-12-15T10:24:13.000Z | 2020-12-15T10:24:13.000Z | """
This module contains some utility callbacks for Keras training.
"""
# System
# Externals
#class LearningRateScheduleCallback(tf.keras.callbacks.Callback):
# def __init__(self, multiplier,
# start_epoch=0, end_epoch=None,
# momentum_correction=True):
# super().__init__()
... | 28.735294 | 65 | 0.653019 | """
This module contains some utility callbacks for Keras training.
"""
# System
from time import time
# Externals
import tensorflow as tf
class TimingCallback(tf.keras.callbacks.Callback):
"""A Keras Callback which records the time of each epoch"""
def __init__(self):
self.times = []
def on... | 0 | 0 | 0 | 386 | 0 | 0 | 0 | 2 | 67 |
809b104103fa2d4ee3d5206465c5502fd81164e3 | 285 | py | Python | twisted/plugins/otter_metrics.py | codebyravi/otter | d58077ba4af24a586ae0a0becaf6da96b716a597 | [
"Apache-2.0"
] | 20 | 2015-02-11T16:32:07.000Z | 2019-11-12T03:27:54.000Z | twisted/plugins/otter_metrics.py | codebyravi/otter | d58077ba4af24a586ae0a0becaf6da96b716a597 | [
"Apache-2.0"
] | 1,145 | 2015-01-01T00:00:47.000Z | 2022-02-11T03:40:39.000Z | twisted/plugins/otter_metrics.py | codebyravi/otter | d58077ba4af24a586ae0a0becaf6da96b716a597 | [
"Apache-2.0"
] | 29 | 2015-01-08T15:00:11.000Z | 2021-02-16T16:33:53.000Z | """
Otter twisted application plugins for the various services.
"""
from twisted.application.service import ServiceMaker
OtterMetrics = ServiceMaker(
"Otter Metrics Collector",
"otter.metrics",
"Collects metrics for a region on an interval basis",
"otter-metrics"
)
| 20.357143 | 59 | 0.733333 | """
Otter twisted application plugins for the various services.
"""
from twisted.application.service import ServiceMaker
OtterMetrics = ServiceMaker(
"Otter Metrics Collector",
"otter.metrics",
"Collects metrics for a region on an interval basis",
"otter-metrics"
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e0cc409326c892b874fc79ca394dfd56968e25c0 | 4,065 | py | Python | anpcp/utils.py | netotz/alpha-neighbor-p-center-problem | 9ebe2718b749dcfc07884063bc118734457e36a9 | [
"MIT"
] | 2 | 2021-06-26T22:16:37.000Z | 2022-02-04T16:44:38.000Z | anpcp/utils.py | netotz/alpha-neighbor-p-center-problem | 9ebe2718b749dcfc07884063bc118734457e36a9 | [
"MIT"
] | 11 | 2021-08-31T15:09:28.000Z | 2022-03-26T06:55:25.000Z | anpcp/utils.py | netotz/alpha-neighbor-p-center-problem | 9ebe2718b749dcfc07884063bc118734457e36a9 | [
"MIT"
] | null | null | null | import timeit
from typing import Any, Iterable, Mapping, Callable, Optional, Set
from models.solver import Solver
import pandas as pd
def get_stats_df(
solvers: Iterable[Solver],
constructive: Optional[Callable[..., Set[int]]],
local_search: Callable[..., Set[int]],
a... | 29.671533 | 111 | 0.534563 | import timeit
from typing import Any, Dict, Iterable, Mapping, Callable, Optional, Set
from models.solver import Solver
import pandas as pd
def get_stats_df(
solvers: Iterable[Solver],
constructive: Optional[Callable[..., Set[int]]],
local_search: Callable[..., Set[int]],
... | 0 | 0 | 0 | 0 | 0 | 598 | 0 | 6 | 23 |
d9419561cd99d1600af603d6ded1ba6a38df456a | 934 | py | Python | server/app/utils/jwt.py | SheetWithoutShit/sws-server | 16b7154188f08b33f84d88caea217673cf989b2b | [
"MIT"
] | null | null | null | server/app/utils/jwt.py | SheetWithoutShit/sws-server | 16b7154188f08b33f84d88caea217673cf989b2b | [
"MIT"
] | 57 | 2020-08-01T14:58:59.000Z | 2020-09-20T13:27:16.000Z | server/app/utils/jwt.py | SpentlessInc/spentless-server | 16b7154188f08b33f84d88caea217673cf989b2b | [
"MIT"
] | null | null | null | """This module provides helper functionality with JWT."""
from datetime import datetime
import jwt
from app.utils.errors import TokenError
def generate_token(secret_key, private_claims=None, exp_days=None):
"""Return encoded json web token."""
token_exp = None
now = int(datetime.now().timestamp())
... | 26.685714 | 67 | 0.679872 | """This module provides helper functionality with JWT."""
from datetime import datetime
import jwt
from app.utils.errors import TokenError
def generate_token(secret_key, private_claims=None, exp_days=None):
"""Return encoded json web token."""
token_exp = None
now = int(datetime.now().timestamp())
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
77f18ed4256f973128a7f7ad9247e1d005ef8599 | 8,409 | py | Python | lib/redfin/api.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 206 | 2015-10-15T07:05:08.000Z | 2021-02-19T11:48:36.000Z | lib/redfin/api.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 8 | 2017-10-16T10:18:31.000Z | 2022-03-09T14:24:27.000Z | lib/redfin/api.py | goztrk/django-htk | c56bf112e5d627780d2f4288460eae5cce80fa9e | [
"MIT"
] | 61 | 2015-10-15T08:12:44.000Z | 2022-03-10T12:25:06.000Z | # Python Standard Library Imports
# Third Party (PyPI) Imports
# HTK Imports
| 43.123077 | 974 | 0.609704 | # Python Standard Library Imports
import json
# Third Party (PyPI) Imports
import requests
import rollbar
# HTK Imports
from htk.lib.redfin.constants import *
from htk.utils.urls import build_url_with_query_params
class RedfinAPI(object):
def __init__(self):
pass
def _get_api_request(self, endpoint... | 0 | 0 | 0 | 8,146 | 0 | 0 | 0 | 27 | 156 |
bbda6963b4d42582470130a18342ad45b6a14d72 | 3,048 | py | Python | gen_fp.py | PatWalters/faiss_kmeans | 07cd8d1d0745e4232758c613fc8900c08b4f1ae2 | [
"MIT"
] | 4 | 2020-02-03T03:13:05.000Z | 2020-12-05T14:27:24.000Z | gen_fp.py | PatWalters/faiss_kmeans | 07cd8d1d0745e4232758c613fc8900c08b4f1ae2 | [
"MIT"
] | 2 | 2019-10-03T23:26:20.000Z | 2020-02-25T03:29:31.000Z | gen_fp.py | PatWalters/faiss_kmeans | 07cd8d1d0745e4232758c613fc8900c08b4f1ae2 | [
"MIT"
] | 4 | 2020-05-01T13:57:04.000Z | 2021-09-09T08:41:27.000Z | #!/usr/bin/env python
import sys
def timing(f):
"""
Decorator to measure execution time, adapted from
# https://medium.com/pythonhive/python-decorator-to-measure-the-execution-time-of-methods-fa04cb6bb36d
# https://codereview.stackexchange.com/questions/169870/decorator-to-measure-execution-time-of-a... | 29.307692 | 109 | 0.656496 | #!/usr/bin/env python
import sys
import h5py
import numpy as np
from rdkit import Chem, DataStructs
from rdkit.Chem import rdMolDescriptors as rdmd
from tqdm import tqdm
from functools import wraps
from time import time
def timing(f):
"""
Decorator to measure execution time, adapted from
# https://mediu... | 0 | 2,207 | 0 | 0 | 0 | 0 | 0 | 33 | 274 |
6616d131b8bf5736ae5fe2bc0242fa879111be9c | 4,064 | py | Python | odps/df/tools/lib/hll.py | wjsi/aliyun-odps-python-sdk | 8b064340e4376def201b8d8fdc0c2fa021aae9be | [
"Apache-2.0"
] | 412 | 2015-11-01T09:27:52.000Z | 2022-03-26T05:04:03.000Z | odps/df/tools/lib/hll.py | wjsi/aliyun-odps-python-sdk | 8b064340e4376def201b8d8fdc0c2fa021aae9be | [
"Apache-2.0"
] | 168 | 2015-11-16T09:46:39.000Z | 2022-03-17T06:35:26.000Z | odps/df/tools/lib/hll.py | wjsi/aliyun-odps-python-sdk | 8b064340e4376def201b8d8fdc0c2fa021aae9be | [
"Apache-2.0"
] | 103 | 2015-12-01T08:10:09.000Z | 2022-02-21T12:46:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2017 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | 26.38961 | 91 | 0.579724 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2017 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | 0 | 0 | 0 | 2,658 | 0 | 0 | 0 | 10 | 45 |
018d6c2fcea71c46d33050e71da40d26ddf183ff | 4,752 | py | Python | fooof/plts/templates.py | TheCheeseToast/fooof | f3f8422af7d87fa73772e083deaf8439ca59908d | [
"Apache-2.0"
] | null | null | null | fooof/plts/templates.py | TheCheeseToast/fooof | f3f8422af7d87fa73772e083deaf8439ca59908d | [
"Apache-2.0"
] | null | null | null | fooof/plts/templates.py | TheCheeseToast/fooof | f3f8422af7d87fa73772e083deaf8439ca59908d | [
"Apache-2.0"
] | null | null | null | """Plot templates for the FOOOF module."""
from fooof.core.modutils import safe_import
plt = safe_import('.pyplot', 'matplotlib')
###################################################################################################
#######################################################################################... | 27.952941 | 99 | 0.608165 | """Plot templates for the FOOOF module."""
import numpy as np
from fooof.core.modutils import safe_import, check_dependency
plt = safe_import('.pyplot', 'matplotlib')
###################################################################################################
#################################################... | 0 | 4,286 | 0 | 0 | 0 | 0 | 0 | 15 | 115 |
92137cbc9f05fa026ca9e6467c6e97454bd526a5 | 2,630 | py | Python | backtrader/backtrader/analyzers/sqn.py | harshabakku/live-back-testing-trader | 1fd69c7598dc15bea740f160eed886f396bcba2c | [
"MIT"
] | 1 | 2021-07-14T22:04:08.000Z | 2021-07-14T22:04:08.000Z | backtrader/backtrader/analyzers/sqn.py | ajmal017/LiveBackTestingTrader | 8b4f5804c0aa6046128f6706582f9cde78a0519a | [
"MIT"
] | null | null | null | backtrader/backtrader/analyzers/sqn.py | ajmal017/LiveBackTestingTrader | 8b4f5804c0aa6046128f6706582f9cde78a0519a | [
"MIT"
] | 3 | 2021-03-07T16:29:40.000Z | 2022-03-17T21:42:38.000Z | #!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015, 2016, 2017 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Li... | 30.581395 | 80 | 0.604563 | #!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015, 2016, 2017 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public Li... | 0 | 0 | 0 | 1,434 | 0 | 0 | 0 | 57 | 113 |
1a2cfabc718285a45f77995165dc8cc087cb7a47 | 470 | py | Python | django/tweets/migrations/0003_auto_20190113_0618.py | aleGpereira/django.twitter | 1e57d79e0839bec6df61f2d7d67de68bc2739a04 | [
"MIT"
] | null | null | null | django/tweets/migrations/0003_auto_20190113_0618.py | aleGpereira/django.twitter | 1e57d79e0839bec6df61f2d7d67de68bc2739a04 | [
"MIT"
] | null | null | null | django/tweets/migrations/0003_auto_20190113_0618.py | aleGpereira/django.twitter | 1e57d79e0839bec6df61f2d7d67de68bc2739a04 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.3 on 2019-01-13 06:18
from __future__ import unicode_literals
| 22.380952 | 76 | 0.625532 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.3 on 2019-01-13 06:18
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tweets', '0002_auto_20190113_0617'),
]
operations = [
migrations.AlterField(... | 0 | 0 | 0 | 292 | 0 | 0 | 0 | 19 | 46 |
ab05eaceb31b3ba84683af44cb7bbb918b9dcc55 | 2,168 | py | Python | tests/unit/test_s3.py | pmakarov/gbdxtools | 07840cd15f64f20c852a90ca9f83749fd376b6bf | [
"MIT"
] | null | null | null | tests/unit/test_s3.py | pmakarov/gbdxtools | 07840cd15f64f20c852a90ca9f83749fd376b6bf | [
"MIT"
] | null | null | null | tests/unit/test_s3.py | pmakarov/gbdxtools | 07840cd15f64f20c852a90ca9f83749fd376b6bf | [
"MIT"
] | null | null | null | import os
"""
How to use the mock_gbdx_session and vcr to create unit tests:
1. Add a new test that is dependent upon actually hitting GBDX APIs.
2. Decorate the test with @vcr appropriately, supply a yaml file path to gbdxtools/tests/unit/cassettes
note: a yaml file will be created after the test is run
3. Repla... | 38.714286 | 111 | 0.712177 | from gbdxtools import Interface
from gbdxtools.s3 import S3
from auth_mock import get_mock_gbdx_session
import vcr
import os
import tempfile
import unittest
"""
How to use the mock_gbdx_session and vcr to create unit tests:
1. Add a new test that is dependent upon actually hitting GBDX APIs.
2. Decorate the test with ... | 0 | 752 | 0 | 483 | 0 | 0 | 0 | 15 | 155 |
4834caa0eb3f36e7e46b784ae632a0f86de34560 | 1,182 | py | Python | python/stabpoly/randomly_check_bistochastic_bounds.py | grawies/stable-poly | 14e78c7b9771b548953c637d0c1fda1ee076fdbb | [
"MIT"
] | null | null | null | python/stabpoly/randomly_check_bistochastic_bounds.py | grawies/stable-poly | 14e78c7b9771b548953c637d0c1fda1ee076fdbb | [
"MIT"
] | null | null | null | python/stabpoly/randomly_check_bistochastic_bounds.py | grawies/stable-poly | 14e78c7b9771b548953c637d0c1fda1ee076fdbb | [
"MIT"
] | null | null | null | #!/home/sam/shared-space/linux-system/anaconda3/bin/python
import numpy.random
SEED = 1
numpy.random.seed(SEED)
if __name__ == '__main__':
main()
| 26.863636 | 84 | 0.71489 | #!/home/sam/shared-space/linux-system/anaconda3/bin/python
from math import factorial
import sympy as sp
from bistochastic import generate_matrix
import fpiter
from polynomials import product_polynomial
from functionals import elementary_symmetric_differential_operator
import numpy.random
SEED = 1
numpy.random.seed(S... | 0 | 0 | 0 | 0 | 0 | 797 | 0 | 79 | 156 |
be3df371b3bbbcb0dd2f8780cfe35e3ce3531c15 | 607 | py | Python | pypy/rpython/ootypesystem/rvirtualizable2.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | 1 | 2020-01-21T11:10:51.000Z | 2020-01-21T11:10:51.000Z | pypy/rpython/ootypesystem/rvirtualizable2.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | pypy/rpython/ootypesystem/rvirtualizable2.py | benoitc/pypy | a3e1b12d1d01dc29056b7badc051ffc034297658 | [
"MIT"
] | null | null | null | from pypy.rpython.ootypesystem.rclass import OBJECT
VABLERTI = OBJECT
| 31.947368 | 83 | 0.769357 | from pypy.rpython.rmodel import inputconst
from pypy.rpython.ootypesystem import ootype
from pypy.rpython.ootypesystem.rclass import InstanceRepr, mangle, OBJECT
from pypy.rpython.rvirtualizable2 import AbstractVirtualizable2InstanceRepr
VABLERTI = OBJECT
class Virtualizable2InstanceRepr(AbstractVirtualizable2Instan... | 0 | 0 | 0 | 326 | 0 | 0 | 0 | 120 | 89 |
a5f537bd9bf4d86e55c1520a890750f0f74b0e0d | 7,534 | py | Python | src/rubrix/server/tasks/commons/dao/dao.py | drahnreb/rubrix | 340e545baf4d65a0d94e3c671ad6c93ff1d59700 | [
"Apache-2.0"
] | null | null | null | src/rubrix/server/tasks/commons/dao/dao.py | drahnreb/rubrix | 340e545baf4d65a0d94e3c671ad6c93ff1d59700 | [
"Apache-2.0"
] | null | null | null | src/rubrix/server/tasks/commons/dao/dao.py | drahnreb/rubrix | 340e545baf4d65a0d94e3c671ad6c93ff1d59700 | [
"Apache-2.0"
] | null | null | null | from typing import Optional
from fastapi import Depends
from rubrix.server.commons.es_wrapper import ElasticsearchWrapper, create_es_wrapper
from rubrix.server.commons.settings import settings
from rubrix.server.datasets.dao import (DATASETS_RECORDS_INDEX_NAME)
from rubrix.server.tasks.commons.es_helpers import (EsRec... | 29.896825 | 91 | 0.530794 | from typing import Any, Dict, Iterable, List, Optional
from fastapi import Depends
from rubrix.server.commons.es_wrapper import ElasticsearchWrapper, create_es_wrapper
from rubrix.server.commons.helpers import unflatten_dict
from rubrix.server.commons.settings import settings
from rubrix.server.datasets.dao import (
... | 0 | 0 | 0 | 4,310 | 0 | 0 | 0 | 236 | 89 |