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5a62b4499b91266f84bd091acba19926c0bc1689 | 13,950 | py | Python | src/models/tsm.py | tomstark99/epic-kitchens-100-fyrp | cbc9e59569fb6110b900a51def1947b8a3c93699 | [
"Apache-2.0"
] | 2 | 2021-08-31T10:02:56.000Z | 2021-11-24T12:44:19.000Z | src/models/tsm.py | tomstark99/epic-kitchens-100-fyrp | cbc9e59569fb6110b900a51def1947b8a3c93699 | [
"Apache-2.0"
] | null | null | null | src/models/tsm.py | tomstark99/epic-kitchens-100-fyrp | cbc9e59569fb6110b900a51def1947b8a3c93699 | [
"Apache-2.0"
] | null | null | null | # Code for "TSM: Temporal Shift Module for Efficient Video Understanding"
# arXiv:1811.08383
# Ji Lin*, Chuang Gan, Song Han
# {jilin, songhan}@mit.edu, ganchuang@csail.mit.edu
import logging
LOG = logging.getLogger(__name__)
| 36.046512 | 95 | 0.533835 | # Code for "TSM: Temporal Shift Module for Efficient Video Understanding"
# arXiv:1811.08383
# Ji Lin*, Chuang Gan, Song Han
# {jilin, songhan}@mit.edu, ganchuang@csail.mit.edu
import logging
import re
import numpy as np
import torch
import torchvision
from ops.basic_ops import ConsensusModule
from ops.temporal_shift ... | 0 | 0 | 0 | 13,307 | 0 | 88 | 0 | 59 | 267 |
1d227eef4404b949b7380668aaf4ed4adc360363 | 1,962 | py | Python | ricknmorty.py | netanelkoli/ricknmorty | 4cab0c356e46a3c62655e4a9326cd5b7f705ed9c | [
"MIT"
] | 1 | 2020-11-06T11:54:00.000Z | 2020-11-06T11:54:00.000Z | ricknmorty.py | netanelkoli/ricknmorty | 4cab0c356e46a3c62655e4a9326cd5b7f705ed9c | [
"MIT"
] | null | null | null | ricknmorty.py | netanelkoli/ricknmorty | 4cab0c356e46a3c62655e4a9326cd5b7f705ed9c | [
"MIT"
] | 1 | 2021-09-01T09:16:11.000Z | 2021-09-01T09:16:11.000Z | from flask import Flask
# Global Variables
url = "https://rickandmortyapi.com/api/character/?Species=Human&status=alive&origin=earth"
csv_file = "ricknmorty.csv"
app = Flask(__name__)
# Check if a json is valid or not
# Main loop function
if __name__ == "__main__":
print("Staring to parse endpoint's response to ... | 26.16 | 90 | 0.637105 | import pandas as pd
import os, sys, glob, time
import requests, json
import csv
from flask import Flask
# Global Variables
url = "https://rickandmortyapi.com/api/character/?Species=Human&status=alive&origin=earth"
csv_file = "ricknmorty.csv"
app = Flask(__name__)
def download_json(url):
try:
response = re... | 0 | 113 | 0 | 0 | 0 | 1,215 | 0 | -8 | 248 |
e924055fe7931f7a9bce1421ba53742edaa03d95 | 986 | py | Python | OpenAttack2/attack_assist/substitute/word/__init__.py | NingNing-C/OpenAttack | b49c7907c791d1a95acb222560b03884833b2745 | [
"MIT"
] | null | null | null | OpenAttack2/attack_assist/substitute/word/__init__.py | NingNing-C/OpenAttack | b49c7907c791d1a95acb222560b03884833b2745 | [
"MIT"
] | null | null | null | OpenAttack2/attack_assist/substitute/word/__init__.py | NingNing-C/OpenAttack | b49c7907c791d1a95acb222560b03884833b2745 | [
"MIT"
] | null | null | null | #from OpenAttack.OpenAttack2.tags.tags import TAG_Protein
| 39.44 | 61 | 0.830629 | #from OpenAttack.OpenAttack2.tags.tags import TAG_Protein
from .base import WordSubstitute
from .chinese_cilin import ChineseCiLinSubstitute
from .chinese_hownet import ChineseHowNetSubstitute
from .chinese_wordnet import ChineseWordNetSubstitute
from .chinese_word2vec import ChineseWord2VecSubstitute
from .protein_blo... | 0 | 0 | 0 | 0 | 0 | 317 | 0 | 323 | 288 |
51badcdb9f58cbf62aef92ea1f56238ff48d38c8 | 430 | py | Python | AdventOfCode 2020/old/aoc3.py | BhasherBEL/ProgrammingChallenges | e697c7f7e3d8177b9ee615918f3c78b645b927d0 | [
"MIT"
] | null | null | null | AdventOfCode 2020/old/aoc3.py | BhasherBEL/ProgrammingChallenges | e697c7f7e3d8177b9ee615918f3c78b645b927d0 | [
"MIT"
] | 1 | 2020-12-09T12:00:56.000Z | 2020-12-09T12:00:56.000Z | AdventOfCode 2020/old/aoc3.py | BhasherBEL/ProgrammingChallenges | e697c7f7e3d8177b9ee615918f3c78b645b927d0 | [
"MIT"
] | 1 | 2020-12-09T11:38:49.000Z | 2020-12-09T11:38:49.000Z | with open('input3.txt', 'r') as file:
data = [list(el) for el in file.read().split('\n')]
print(check(3, 1) * check(1, 1) * check(5, 1) * check(7, 1) * check(1, 2)) | 22.631579 | 74 | 0.430233 | with open('input3.txt', 'r') as file:
data = [list(el) for el in file.read().split('\n')]
def check(dx, dy):
x = 0
y = 0
tree = 0
ntree = 0
while y < len(data)-dy:
y += dy
x = (x + dx) % len(data[y])
if data[y][x] == '#':
tree += 1
else:
n... | 0 | 0 | 0 | 0 | 0 | 229 | 0 | 0 | 23 |
d4a6ded9b70e7ff1db27b73d34d318f3cb0ea829 | 145 | py | Python | gazouilli/writers/__init__.py | rafikdraoui/gazouilli | c300035ec7df6500a2af5c431b20f506d95a86fa | [
"MIT"
] | 3 | 2016-06-02T10:07:30.000Z | 2016-06-02T10:54:23.000Z | gazouilli/writers/__init__.py | rafikdraoui/gazouilli | c300035ec7df6500a2af5c431b20f506d95a86fa | [
"MIT"
] | 1 | 2016-06-03T12:55:48.000Z | 2016-07-03T17:02:54.000Z | gazouilli/writers/__init__.py | rafikdraoui/gazouilli | c300035ec7df6500a2af5c431b20f506d95a86fa | [
"MIT"
] | null | null | null | from .debug import Debug
from .floppy import Floppy
from .json import Json
from .midi import Midi
__all__ = ['Debug', 'Floppy', 'Json', 'Midi']
| 20.714286 | 45 | 0.717241 | from .debug import Debug
from .floppy import Floppy
from .json import Json
from .midi import Midi
__all__ = ['Debug', 'Floppy', 'Json', 'Midi']
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
67d88443e490bbeb91aa7eb97cb293e4492ef5de | 230 | py | Python | Code/permutation.py | ThomasLee94/cs1.3-core-data-algo | 049673db68ec5f9e077cd1bcfdc5251b729edf10 | [
"MIT"
] | null | null | null | Code/permutation.py | ThomasLee94/cs1.3-core-data-algo | 049673db68ec5f9e077cd1bcfdc5251b729edf10 | [
"MIT"
] | null | null | null | Code/permutation.py | ThomasLee94/cs1.3-core-data-algo | 049673db68ec5f9e077cd1bcfdc5251b729edf10 | [
"MIT"
] | null | null | null | # A permutation is the act of rearranging the members of a set into a sequence.
# Example: set_a = {1,2,3} -> (1,2,3), (1,3,2), (2,1,3), (2,3,1), (3,1,2), (3,2,1)
# Loop throug set
# rearrange set
| 28.75 | 82 | 0.595652 | # A permutation is the act of rearranging the members of a set into a sequence.
# Example: set_a = {1,2,3} -> (1,2,3), (1,3,2), (2,1,3), (2,3,1), (3,1,2), (3,2,1)
def permutation(set):
# Loop throug set
# rearrange set
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
647a8de0db31e251e90f71b15a2f36b761751a8a | 679 | py | Python | 2/zad3/zad3.py | dbrcina/OOUP-FER-2019-20 | c441af9db6bfbffaf9d0ba578a9f3d42076aad1b | [
"MIT"
] | 1 | 2021-02-22T21:16:48.000Z | 2021-02-22T21:16:48.000Z | 2/zad3/zad3.py | dbrcina/OOUP-Labos-FER-2019-20 | c441af9db6bfbffaf9d0ba578a9f3d42076aad1b | [
"MIT"
] | null | null | null | 2/zad3/zad3.py | dbrcina/OOUP-Labos-FER-2019-20 | c441af9db6bfbffaf9d0ba578a9f3d42076aad1b | [
"MIT"
] | 1 | 2021-05-25T17:37:00.000Z | 2021-05-25T17:37:00.000Z |
maxint = mymax([1, 3, 5, 7, 4, 6, 9, 2, 0])
maxchar = mymax("Suncana strana ulice")
maxstring = mymax([
"Gle", "malu", "vocku", "poslije", "kise",
"Puna", "je", "kapi", "pa", "ih", "njise"])
D = {'burek':8, 'buhtla':5}
maxfood = mymax(D, lambda x: D[x])
persons = [("Luka", "Giljanovi"), ("Mislav", "Has"), ("Darijo... | 29.521739 | 94 | 0.581738 | def mymax(iterable, key = lambda x: x):
max_el = max_key = None
for el in iterable:
if (max_key == None or key(el) > max_key):
max_el = el
max_key = key(el)
return max_el
maxint = mymax([1, 3, 5, 7, 4, 6, 9, 2, 0])
maxchar = mymax("Suncana strana ulice")
maxstring = mym... | 4 | 0 | 0 | 0 | 0 | 198 | 0 | 0 | 22 |
c2c3268cf37962649cc8bb649a062d544ea54e6e | 6,430 | py | Python | main.py | hackhumantrafficking/incident-gateway | 2db90db784d68ee730326ae21abe5c8c48a796ec | [
"Apache-2.0"
] | null | null | null | main.py | hackhumantrafficking/incident-gateway | 2db90db784d68ee730326ae21abe5c8c48a796ec | [
"Apache-2.0"
] | null | null | null | main.py | hackhumantrafficking/incident-gateway | 2db90db784d68ee730326ae21abe5c8c48a796ec | [
"Apache-2.0"
] | null | null | null | import google.appengine.api.urlfetch as urlfetch
from flask import Flask
try:
# Apparently not all implementations have SystemRandom defined, so I expect
# this import to fail, if that's the case.
from random import SystemRandom
randomizer = SystemRandom()
except:
import random as randomizer
SAFE... | 29.906977 | 167 | 0.69549 | import logging
import json
import base64
import urllib
import google.appengine.api.urlfetch as urlfetch
from flask import Flask, Response, request
from firebase.wrapper import Firebase
try:
# Apparently not all implementations have SystemRandom defined, so I expect
# this import to fail, if that's the case.
... | 0 | 1,665 | 0 | 0 | 0 | 3,287 | 0 | 2 | 447 |
e0c55859fbc0b02b4fe0ab73651df4a5d1e42d82 | 825 | py | Python | xfel/libtbx_refresh.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | 155 | 2016-11-23T12:52:16.000Z | 2022-03-31T15:35:44.000Z | xfel/libtbx_refresh.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | 590 | 2016-12-10T11:31:18.000Z | 2022-03-30T23:10:09.000Z | xfel/libtbx_refresh.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | 115 | 2016-11-15T08:17:28.000Z | 2022-02-09T15:30:14.000Z | from __future__ import absolute_import, division, print_function
import libtbx.load_env, os
cxi_user = libtbx.env.find_in_repositories(
relative_path="cxi_user",
test=os.path.isdir)
if cxi_user is None or not os.path.exists(cxi_user):
print(" Creating cxi_user directory")
sources_root =... | 35.869565 | 87 | 0.710303 | from __future__ import absolute_import, division, print_function
import libtbx.load_env, os
cxi_user = libtbx.env.find_in_repositories(
relative_path="cxi_user",
test=os.path.isdir)
if cxi_user is None or not os.path.exists(cxi_user):
print(" Creating cxi_user directory")
sources_root =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a0db5a24b1e11f2c6ee64a91df6784690b84aba6 | 96 | py | Python | dreamboxapi/__init__.py | mtdcr/python-dreamboxapi | 9eaf96ba2c97412f13f622720d67f99650e09173 | [
"MIT"
] | null | null | null | dreamboxapi/__init__.py | mtdcr/python-dreamboxapi | 9eaf96ba2c97412f13f622720d67f99650e09173 | [
"MIT"
] | null | null | null | dreamboxapi/__init__.py | mtdcr/python-dreamboxapi | 9eaf96ba2c97412f13f622720d67f99650e09173 | [
"MIT"
] | null | null | null | __author__ = """Stephan REichholf"""
__email__ = 'reichi@opendreambox.org'
__version__ = '1.0.2' | 32 | 37 | 0.729167 | __author__ = """Stephan REichholf"""
__email__ = 'reichi@opendreambox.org'
__version__ = '1.0.2' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6a63b3b6a387389832fbfbfd26cd4586f9ef8e38 | 15,239 | py | Python | tests/gamestonk_terminal/stocks/behavioural_analysis/test_ba_controller.py | GarnixJu2015/GamestonkTerminal | ec400e46ddce4ac934af836b863528f14a13d865 | [
"MIT"
] | null | null | null | tests/gamestonk_terminal/stocks/behavioural_analysis/test_ba_controller.py | GarnixJu2015/GamestonkTerminal | ec400e46ddce4ac934af836b863528f14a13d865 | [
"MIT"
] | 1 | 2022-01-15T01:24:24.000Z | 2022-01-15T01:24:24.000Z | tests/gamestonk_terminal/stocks/behavioural_analysis/test_ba_controller.py | GarnixJu2015/GamestonkTerminal | ec400e46ddce4ac934af836b863528f14a13d865 | [
"MIT"
] | 1 | 2021-11-07T20:59:25.000Z | 2021-11-07T20:59:25.000Z | # IMPORTATION STANDARD
# IMPORTATION THIRDPARTY
import pandas as pd
# IMPORTATION INTERNAL
# pylint: disable=E1101
# pylint: disable=W0603
# pylint: disable=E1111
EMPTY_DF = pd.DataFrame()
| 26.502609 | 97 | 0.513288 | # IMPORTATION STANDARD
import os
from datetime import datetime
# IMPORTATION THIRDPARTY
import pandas as pd
import pytest
# IMPORTATION INTERNAL
from gamestonk_terminal.stocks.behavioural_analysis import ba_controller
# pylint: disable=E1101
# pylint: disable=W0603
# pylint: disable=E1111
EMPTY_DF = pd.DataFrame()
... | 0 | 14,631 | 0 | 0 | 0 | 0 | 0 | 39 | 364 |
17bf804b5fb9a0ab07bd470958d4c841ecd957e2 | 1,435 | py | Python | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | null | null | null | Modulo_5/proyecto/presentacion/form_ubicacion/formAUbicacion.py | AutodidactaMx/cocid_python | 11628f465ff362807a692c79ede26bf30dd8e26a | [
"MIT"
] | 1 | 2022-03-04T00:57:18.000Z | 2022-03-04T00:57:18.000Z | import seaborn as sns
sns.set()
| 42.205882 | 217 | 0.667596 | import seaborn as sns
import matplotlib.pyplot as plt
from presentacion.form_ubicacion.formAUbicacion_designer import FormUbicacionDesigner
sns.set()
class FormUbicacion(FormUbicacionDesigner):
df = None
def __init__(self,df):
super().__init__()
self.df = df
self.initialize_compone... | 2 | 0 | 0 | 1,257 | 0 | 0 | 0 | 74 | 67 |
623b298ef66aea67378f5c541fd1f7748d85f4ab | 754 | py | Python | ossdbtoolsservice/query/contracts/result_set_summary.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 33 | 2019-05-27T13:04:35.000Z | 2022-03-17T13:33:05.000Z | ossdbtoolsservice/query/contracts/result_set_summary.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 31 | 2019-06-10T01:55:47.000Z | 2022-03-09T07:27:49.000Z | ossdbtoolsservice/query/contracts/result_set_summary.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 25 | 2019-05-13T18:39:24.000Z | 2021-11-16T03:07:33.000Z |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | 37.7 | 119 | 0.547745 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | 0 | 0 | 0 | 295 | 0 | 0 | 0 | 35 | 77 |
556f9bb3bae93649113079fa393138bab0852d73 | 921 | py | Python | exercises/zh/test_general.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/test_general.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/test_general.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # This test file only runs internally when you test the course with pytest.
# It can be used to ensure that results the course depend on are accurate, e.g.
# when updating to a new version of spaCy. This especially includes predictions
# that some examples assume or depend on.
| 29.709677 | 79 | 0.677524 | # This test file only runs internally when you test the course with pytest.
# It can be used to ensure that results the course depend on are accurate, e.g.
# when updating to a new version of spaCy. This especially includes predictions
# that some examples assume or depend on.
import spacy
import pytest
@pytest.fixtu... | 186 | 45 | 0 | 0 | 0 | 437 | 0 | -17 | 113 |
a013ed5353627e5080ae5cc20babf27c78b30276 | 511 | py | Python | lcm.py | prerna250/python-algorithms | ba538770863b6fbcad867e808a17be77a7a75908 | [
"MIT"
] | 5 | 2020-08-20T17:06:50.000Z | 2020-11-07T09:11:30.000Z | lcm.py | freelancing-solutions/python-algorithms | 34bea3245497f3e0586d6dfb43438b6498d7a245 | [
"MIT"
] | 14 | 2020-10-16T16:31:33.000Z | 2020-11-10T01:54:27.000Z | lcm.py | freelancing-solutions/python-algorithms | 34bea3245497f3e0586d6dfb43438b6498d7a245 | [
"MIT"
] | 17 | 2020-10-16T17:49:23.000Z | 2020-11-03T09:58:27.000Z |
#Calculates Lowest Common Multiple
in1 = int(input("Insert 1st number: "))
in2 = int(input("Insert 2nd number: "))
print("LCM of %d and %d is"%(in1, in2), compute_lcm(in1, in2)) | 23.227273 | 76 | 0.661448 | from math import *
#Calculates Lowest Common Multiple
def compute_lcm(x, y):
# Select larger number
if x > y:
larger = x
else:
larger = y
# Checks if the larger value is divisible by both numbers
while((larger % x != 0) or (larger % y != 0)):
# If not divisible by either number, the larger value is inc... | 0 | 0 | 0 | 0 | 0 | 290 | 0 | -3 | 44 |
280e48fc08599e54a55c407335bcd3d8ac4d8ed9 | 476 | py | Python | main_employee_project/employee_register/urls.py | PadminiRai/django- | 83d4fa1fcdbbaf33afd0b7890e650c175caf64be | [
"MIT"
] | null | null | null | main_employee_project/employee_register/urls.py | PadminiRai/django- | 83d4fa1fcdbbaf33afd0b7890e650c175caf64be | [
"MIT"
] | null | null | null | main_employee_project/employee_register/urls.py | PadminiRai/django- | 83d4fa1fcdbbaf33afd0b7890e650c175caf64be | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('',views.employee_form ),
path('list/',views.employee_list ),
path('safety_ohs_a9/',safety_ohs_a9,name='safety_ohs_a9'),
path('homepagef/',homepagef,name='homepagef'),
path('charityregisterf/',charityregisterf,name='charity... | 34 | 72 | 0.689076 | from django.urls import path,include
from . import views
from .views import *
urlpatterns = [
path('',views.employee_form ),
path('list/',views.employee_list ),
path('safety_ohs_a9/',safety_ohs_a9,name='safety_ohs_a9'),
path('homepagef/',homepagef,name='homepagef'),
path('charityregisterf/',... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 23 |
1ba6efb281049b0536f2c58f5e08caa9e8b18f3f | 2,986 | py | Python | utils/generate_problem_list.py | geekhall/algorithms | 7dfab1e952e4b1b3ae63ec1393fd481b8bf4af86 | [
"MIT"
] | null | null | null | utils/generate_problem_list.py | geekhall/algorithms | 7dfab1e952e4b1b3ae63ec1393fd481b8bf4af86 | [
"MIT"
] | null | null | null | utils/generate_problem_list.py | geekhall/algorithms | 7dfab1e952e4b1b3ae63ec1393fd481b8bf4af86 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:UTF-8 -*-
#########################################################
# filename : generateReadme.py
# author : geekhall
# version : v1.0.0
# function : Gererate root README.md file.
#########################################################
# Constant
ROOT_DIR = './'
# link address... | 33.931818 | 143 | 0.609846 | #!/usr/bin/env python3
# -*- coding:UTF-8 -*-
#########################################################
# filename : generateReadme.py
# author : geekhall
# version : v1.0.0
# function : Gererate root README.md file.
#########################################################
import os
# Constant
ROOT_DIR = './'
# li... | 0 | 0 | 0 | 278 | 0 | 472 | 0 | -12 | 67 |
0d63996d21699c08714defcbf78dc0f402855d08 | 1,143 | py | Python | src/main.py | SoftandPure/porkchop | 79adc2940c929b3b053513c5ad6bee641c8f9af7 | [
"MIT"
] | 1 | 2022-01-06T15:08:28.000Z | 2022-01-06T15:08:28.000Z | src/main.py | GiorgiaGottifredi/porkchop-discord-bot | 79adc2940c929b3b053513c5ad6bee641c8f9af7 | [
"MIT"
] | 1 | 2020-10-22T13:30:59.000Z | 2020-10-22T13:30:59.000Z | src/main.py | SoftandPure/porkchop | 79adc2940c929b3b053513c5ad6bee641c8f9af7 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
bot = PorkchopBot() | 23.8125 | 72 | 0.673666 | import discord, asyncio, json
class PorkchopBot(discord.Client):
def __init__(self):
super().__init__()
with open('config.json', 'r') as file:
self.settings = json.load(file)
print(self.settings)
self.run(self.settings['Discord']['token'])
print("Bot started...")
async def on_ready(self):
print("B... | 0 | 0 | 738 | 302 | 0 | 0 | 0 | 8 | 45 |
db5e7699f72a057a1bca6b7acd1b13647da09900 | 31,993 | py | Python | BOTA.py | twaddlac/bota_docker | c6a33779cfe34240ee2879f30d43e8c6ab08c9e9 | [
"BSD-3-Clause"
] | null | null | null | BOTA.py | twaddlac/bota_docker | c6a33779cfe34240ee2879f30d43e8c6ab08c9e9 | [
"BSD-3-Clause"
] | null | null | null | BOTA.py | twaddlac/bota_docker | c6a33779cfe34240ee2879f30d43e8c6ab08c9e9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Chengwei Luo (cluo@broadinstitute.org)'
__version__ = '0.1.0'
__date__ = 'Oct 2015'
"""
BOTA: Bacteria-Origin T-cell Antigen predictor
Copyright(c) 2015 Chengwei Luo (luo.chengwei@gatech.edu)
This program is free software: you can redistribute it and/or ... | 33.395616 | 125 | 0.659144 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Chengwei Luo (cluo@broadinstitute.org)'
__version__ = '0.1.0'
__date__ = 'Oct 2015'
"""
BOTA: Bacteria-Origin T-cell Antigen predictor
Copyright(c) 2015 Chengwei Luo (luo.chengwei@gatech.edu)
This program is free software: you can redistribute it and/or ... | 0 | 0 | 0 | 9,244 | 0 | 18,098 | 0 | 140 | 758 |
4ede57db6a9812303a1762674bc712b392106936 | 930 | py | Python | classgrade/gradapp/migrations/0011_auto_20160926_2149.py | classgrade/classgrade | 144dcfc9579e6858ff4aa79835c76b9611ed73b2 | [
"MIT"
] | 5 | 2016-11-15T17:46:27.000Z | 2022-01-10T08:06:17.000Z | classgrade/gradapp/migrations/0011_auto_20160926_2149.py | classgrade/classgrade | 144dcfc9579e6858ff4aa79835c76b9611ed73b2 | [
"MIT"
] | 21 | 2016-11-07T14:58:22.000Z | 2021-02-02T21:41:12.000Z | classgrade/gradapp/migrations/0011_auto_20160926_2149.py | classgrade/classgrade | 144dcfc9579e6858ff4aa79835c76b9611ed73b2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-09-26 21:49
from __future__ import unicode_literals
| 34.444444 | 180 | 0.673118 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-09-26 21:49
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gradapp', '0010_auto_20160926_2144'),
]
operations = ... | 0 | 0 | 0 | 721 | 0 | 0 | 0 | 27 | 68 |
1cadab520d5fff6aa4e05e0c385d7c0ce43e3b89 | 8,603 | py | Python | my_cv/kaggle_contest/DogBreedIdentification/01.py | strawsyz/straw | db313c78c2e3c0355cd10c70ac25a15bb5632d41 | [
"MIT"
] | 2 | 2020-04-06T09:09:19.000Z | 2020-07-24T03:59:55.000Z | my_cv/kaggle_contest/DogBreedIdentification/01.py | strawsyz/straw | db313c78c2e3c0355cd10c70ac25a15bb5632d41 | [
"MIT"
] | null | null | null | my_cv/kaggle_contest/DogBreedIdentification/01.py | strawsyz/straw | db313c78c2e3c0355cd10c70ac25a15bb5632d41 | [
"MIT"
] | null | null | null | import os
import shutil
import time
import zipfile
import d2lzh as d2l
from mxnet import autograd, gluon, nd
from mxnet.gluon import data as gdata, loss as gloss
# KaggledemoFalse
demo = True
data_dir = '../data/kaggle_dog'
if demo:
zipfiles = ['train_valid_test_tiny.zip']
else:
zipfiles = ['train.zip', 'test... | 38.927602 | 78 | 0.646751 | import collections
import math
import os
import shutil
import time
import zipfile
import d2lzh as d2l
from mxnet import autograd, gluon, init, nd
from mxnet.gluon import data as gdata, loss as gloss, model_zoo, nn
# 如果使用下载的Kaggle比赛的完整数据集，把demo变量改为False
demo = True
data_dir = '../data/kaggle_dog'
if demo:
zipfiles... | 1,179 | 0 | 0 | 0 | 0 | 2,333 | 0 | 8 | 136 |
a90944c261cdec590ae60c28c24fe921295e0d3b | 8,522 | py | Python | Analysis/DarkDeleter.py | habi/GlobalDiagnostiX | 5171ccee3c8a8ccc7f0b82d52d7fdac327e8d7c7 | [
"Unlicense"
] | 11 | 2018-10-20T07:29:37.000Z | 2022-03-18T07:10:47.000Z | Analysis/DarkDeleter.py | guizi327832749/GlobalDiagnostiX | 5171ccee3c8a8ccc7f0b82d52d7fdac327e8d7c7 | [
"Unlicense"
] | null | null | null | Analysis/DarkDeleter.py | guizi327832749/GlobalDiagnostiX | 5171ccee3c8a8ccc7f0b82d52d7fdac327e8d7c7 | [
"Unlicense"
] | 11 | 2018-10-27T05:16:26.000Z | 2022-03-29T14:48:48.000Z | # -*- coding: utf8 -*-
"""
Script to delete unused darks of each image.
For each experiment we acquire something like 30 images, from which only about
3 to 4 contain data, the rest of the images are darks.
We don't have to keep all the darks; this script deletes all but one at the
beginning and the two darks adjacent ... | 45.089947 | 101 | 0.620042 | # -*- coding: utf8 -*-
"""
Script to delete unused darks of each image.
For each experiment we acquire something like 30 images, from which only about
3 to 4 contain data, the rest of the images are darks.
We don't have to keep all the darks; this script deletes all but one at the
beginning and the two darks adjacent ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4678ac3535cea8db8e64ee9ff1301417dbb4f81c | 19,250 | py | Python | betaGo.py | bslqy/Pacman-Capture-the-flag | a5623fc1257a0a11fe8cfd20a35e71f3762dd863 | [
"Apache-2.0"
] | 7 | 2018-09-24T06:55:04.000Z | 2020-11-30T13:37:33.000Z | betaGo.py | bslqy/Pacman-Capture-the-flag | a5623fc1257a0a11fe8cfd20a35e71f3762dd863 | [
"Apache-2.0"
] | null | null | null | betaGo.py | bslqy/Pacman-Capture-the-flag | a5623fc1257a0a11fe8cfd20a35e71f3762dd863 | [
"Apache-2.0"
] | 14 | 2018-10-11T23:55:21.000Z | 2021-12-25T06:48:57.000Z | # myTeam.py
# ---------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# At... | 39.690722 | 120 | 0.690234 | # myTeam.py
# ---------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# At... | 0 | 0 | 0 | 17,254 | 0 | 0 | 0 | 52 | 226 |
404265759e90129b48225883110b78c71ff3bf0a | 2,128 | py | Python | MergeGraphmls.py | OSADP/Traffic-Congestion-State-Predictor-Tool | fbbf7fe9f912ebf6276f0d1173464c99c56fdbc5 | [
"Apache-2.0"
] | 2 | 2020-04-15T21:22:58.000Z | 2021-03-15T19:27:42.000Z | MergeGraphmls.py | OSADP/Traffic-Congestion-State-Predictor-Tool | fbbf7fe9f912ebf6276f0d1173464c99c56fdbc5 | [
"Apache-2.0"
] | null | null | null | MergeGraphmls.py | OSADP/Traffic-Congestion-State-Predictor-Tool | fbbf7fe9f912ebf6276f0d1173464c99c56fdbc5 | [
"Apache-2.0"
] | 1 | 2021-03-12T03:30:28.000Z | 2021-03-12T03:30:28.000Z | import networkx as nx
import datetime
import time
from datetime import datetime, timedelta
import sys
# October
days = ['1','2','3','4','5','6','7','8','9','10','11', '12','13','14','15','16','17', '18','19','20','21','22','23','24','25','26','27','28','29','30','31']
startTime = '09:00'
endTime = '23:59'
timeSlices... | 36.689655 | 156 | 0.630639 | import networkx as nx
import datetime
import time
from datetime import datetime, timedelta
import sys
# October
days = ['1','2','3','4','5','6','7','8','9','10','11', '12','13','14','15','16','17', '18','19','20','21','22','23','24','25','26','27','28','29','30','31']
startTime = '09:00'
endTime = '23:59'
def generat... | 0 | 0 | 0 | 0 | 0 | 559 | 0 | 0 | 22 |
4875bd8927340da52bd26aed809015c95c8594a5 | 1,076 | py | Python | volunteer/migrations/0006_auto_20200402_1524.py | horizonltd/corona | fd7302aae313e0767a73ffd772553cefad71acaf | [
"MIT"
] | null | null | null | volunteer/migrations/0006_auto_20200402_1524.py | horizonltd/corona | fd7302aae313e0767a73ffd772553cefad71acaf | [
"MIT"
] | 10 | 2020-03-31T01:56:33.000Z | 2022-02-10T11:23:42.000Z | website/migrations/0006_auto_20200402_1524.py | horizonltd/corona | fd7302aae313e0767a73ffd772553cefad71acaf | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2020-04-02 09:24
| 27.589744 | 70 | 0.556691 | # Generated by Django 2.2 on 2020-04-02 09:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('volunteer', '0005_auto_20200402_1503'),
]
operations = [
migrations.AlterField(
model_name='reportcase',
name='lga',
... | 0 | 0 | 0 | 964 | 0 | 0 | 0 | 19 | 46 |
89268a558feacd9128c7824b413fb4cdbc56bc5a | 320 | py | Python | 1973.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | 3 | 2021-09-21T18:50:20.000Z | 2021-12-14T13:07:31.000Z | 1973.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | null | null | null | 1973.py | gabzin/uri | 177bdf3f87bacfd924bd031a973b8db877379fe5 | [
"MIT"
] | null | null | null | n=int(input())
x=list(map(int,input().split()))
pos=soma=tot=0
aux=True
for i,num in enumerate(x):
tot+=num
if num%2==0 and aux:
att = i+1
soma+=((i*2)+1)-pos
aux=False
if num-1==0 and aux:pos=i+1
else:
if(soma>0):tot-=soma
else:
att=n
tot-=att
print(att,tot)
| 17.777778 | 32 | 0.53125 | n=int(input())
x=list(map(int,input().split()))
pos=soma=tot=0
aux=True
for i,num in enumerate(x):
tot+=num
if num%2==0 and aux:
att = i+1
soma+=((i*2)+1)-pos
aux=False
if num-1==0 and aux:pos=i+1
else:
if(soma>0):tot-=soma
else:
att=n
tot-=att
print(att,tot)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
edee8184ab6115e705e80cde8ef4b15fe9117b22 | 4,393 | py | Python | python/wtte/data_generators.py | sandeepnair2812/Weibull-Time-To-Event-Recurrent-Neural-Network | 162f5c17f21db79a316d563b60835d178142fd69 | [
"MIT"
] | 727 | 2017-01-29T16:47:38.000Z | 2022-03-31T23:21:45.000Z | python/wtte/data_generators.py | kgulpinar/wtte-rnn | 162f5c17f21db79a316d563b60835d178142fd69 | [
"MIT"
] | 68 | 2017-02-01T16:32:23.000Z | 2022-01-24T11:24:36.000Z | python/wtte/data_generators.py | kgulpinar/wtte-rnn | 162f5c17f21db79a316d563b60835d178142fd69 | [
"MIT"
] | 199 | 2017-01-30T10:25:04.000Z | 2022-03-30T09:41:59.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import pandas as pd
from six.moves import xrange
def generate_random_df(n_seqs=5,
max_seq_length=10,
unique_times=True,
... | 31.156028 | 100 | 0.620533 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import pandas as pd
from six.moves import xrange
def generate_random_df(n_seqs=5,
max_seq_length=10,
unique_times=True,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2768d948d708343912bed2ba3b8721c38f612f07 | 990 | py | Python | stupid_rotation/rotate.py | aarondettmann/modnar-ylgnizama | cb2302d62f67551b4b6a571379e37ddee51e504a | [
"Apache-2.0"
] | 1 | 2020-04-23T19:19:56.000Z | 2020-04-23T19:19:56.000Z | stupid_rotation/rotate.py | aarondettmann/modnar-ylgnizama | cb2302d62f67551b4b6a571379e37ddee51e504a | [
"Apache-2.0"
] | null | null | null | stupid_rotation/rotate.py | aarondettmann/modnar-ylgnizama | cb2302d62f67551b4b6a571379e37ddee51e504a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import math as m
import matplotlib.pyplot as plt
def rotate_points_2D(points, angle):
"""Rotate points using complex numbers"""
# Encode the rotation operation
z = complex(m.cos(angle), m.sin(angle))
points_rot = []
for point in points:
p_... | 19.038462 | 61 | 0.545455 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import math as m
import matplotlib.pyplot as plt
def rotate_points_2D(points, angle):
"""Rotate points using complex numbers"""
# Encode the rotation operation
z = complex(m.cos(angle), m.sin(angle))
points_rot = []
for point in points:
p_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
55b720ece729b46d8f5e8ec241932f1bd463ce17 | 80 | py | Python | mips_revisit/google_bert/estimator.py | vlad17/mips_revisit | 0777b37d9727d785487379e5b1f6dcd146d8b17c | [
"Apache-2.0"
] | null | null | null | mips_revisit/google_bert/estimator.py | vlad17/mips_revisit | 0777b37d9727d785487379e5b1f6dcd146d8b17c | [
"Apache-2.0"
] | null | null | null | mips_revisit/google_bert/estimator.py | vlad17/mips_revisit | 0777b37d9727d785487379e5b1f6dcd146d8b17c | [
"Apache-2.0"
] | null | null | null | """
Wrapper around existing BERT code to create a classification
estimator.
"""
| 16 | 60 | 0.7625 | """
Wrapper around existing BERT code to create a classification
estimator.
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
434c4ef20995383ecc3f16a0c02ef8da45e32384 | 2,635 | py | Python | Tests/test_Ontology_OboIO.py | szymczakpau/biopython | 6f997cd1ea7daf89f0b70854401da4cde35d6a00 | [
"PostgreSQL"
] | null | null | null | Tests/test_Ontology_OboIO.py | szymczakpau/biopython | 6f997cd1ea7daf89f0b70854401da4cde35d6a00 | [
"PostgreSQL"
] | null | null | null | Tests/test_Ontology_OboIO.py | szymczakpau/biopython | 6f997cd1ea7daf89f0b70854401da4cde35d6a00 | [
"PostgreSQL"
] | 6 | 2016-10-24T11:27:13.000Z | 2020-02-26T16:35:01.000Z | # Copyright 2013 by Kamil Koziara. All rights reserved.
# 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.
import unittest
if __name__ == "__main__":
runner = unittest.TextTestRunner(verbosity = ... | 25.833333 | 89 | 0.591651 | # Copyright 2013 by Kamil Koziara. All rights reserved.
# 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.
from Bio._py3k import StringIO
import unittest
from Bio.Ontology.IO.OboIO import OboIterato... | 0 | 0 | 0 | 2,091 | 0 | 0 | 0 | 65 | 119 |
d4d3cc76d293699f4e5f1425718d8478485dc1e4 | 48 | py | Python | opendatatools/wscn/__init__.py | solider245/OpenData | 031aa29b7b6b26a903f378e3da10520fd3a1b7ab | [
"Apache-2.0"
] | 1,179 | 2018-05-28T07:14:41.000Z | 2022-03-27T16:03:51.000Z | opendatatools/wscn/__init__.py | taoyeah/OpenData | 031aa29b7b6b26a903f378e3da10520fd3a1b7ab | [
"Apache-2.0"
] | 42 | 2018-07-05T02:44:56.000Z | 2022-03-29T12:12:30.000Z | opendatatools/wscn/__init__.py | taoyeah/OpenData | 031aa29b7b6b26a903f378e3da10520fd3a1b7ab | [
"Apache-2.0"
] | 297 | 2018-05-28T07:39:38.000Z | 2022-03-28T02:35:59.000Z | # encoding: utf-8 | 16 | 29 | 0.75 | # encoding: utf-8
from .wscn_interface import * | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 23 |
14fe5eeeae8ffcffcdfac52b1473f57223ae7d20 | 17 | py | Python | tests/testproject1/sub_init.py | zooba/pymsbuild | 7bd00271186857050760968c6b95e3c7430fe33e | [
"MIT"
] | 7 | 2019-01-11T08:13:01.000Z | 2021-07-05T22:55:39.000Z | tests/testproject1/sub_init.py | zooba/pymsbuild | 7bd00271186857050760968c6b95e3c7430fe33e | [
"MIT"
] | 11 | 2020-05-16T16:05:29.000Z | 2021-11-25T23:44:56.000Z | tests/testproject1/sub_init.py | zooba/pymsbuild | 7bd00271186857050760968c6b95e3c7430fe33e | [
"MIT"
] | null | null | null | """Sub module"""
| 8.5 | 16 | 0.529412 | """Sub module"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9de7be8640187984d91a78783657d6aae0ae5b61 | 3,987 | py | Python | src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/test_fts_transitions_03.py | lintzc/GPDB | b48c8b97da18f495c10065d0853db87960aebae2 | [
"PostgreSQL",
"Apache-2.0"
] | 1 | 2017-09-15T06:09:56.000Z | 2017-09-15T06:09:56.000Z | src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/test_fts_transitions_03.py | guofengrichard/gpdb | 29bdd6ef38d8d9b9cb04ca31d44e279eb9f640d3 | [
"PostgreSQL",
"Apache-2.0"
] | null | null | null | src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/test_fts_transitions_03.py | guofengrichard/gpdb | 29bdd6ef38d8d9b9cb04ca31d44e279eb9f640d3 | [
"PostgreSQL",
"Apache-2.0"
] | 1 | 2018-12-04T09:13:57.000Z | 2018-12-04T09:13:57.000Z | """
Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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
... | 56.15493 | 128 | 0.672937 | """
Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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
... | 0 | 1,867 | 0 | 1,290 | 0 | 0 | 0 | 43 | 113 |
235c55045e820304c65af4d4d11023ed4af13b04 | 4,245 | py | Python | cifar10-classification/utils/makeLabel.py | elgong/semi-supervised-DL-using-pseduo-label | 2259c6ef93939f247f71a9d7f6766224120f2548 | [
"MIT"
] | 1 | 2019-11-26T12:40:05.000Z | 2019-11-26T12:40:05.000Z | cifar10-classification/utils/makeLabel.py | elgong/semi-supervised-DL-using-pseduo-label | 2259c6ef93939f247f71a9d7f6766224120f2548 | [
"MIT"
] | null | null | null | cifar10-classification/utils/makeLabel.py | elgong/semi-supervised-DL-using-pseduo-label | 2259c6ef93939f247f71a9d7f6766224120f2548 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#@Time : 19-5-24 2:29
#@Author: elgong_hdu
#@File : makeLabel.py
Class = ("apple", "orange", "bed", "bottle", "bus", "clock", "elephant", "keyboard", "motorcycle",
"mushroom", "rocket", "rose", "tank", "television", "tiger", "train", "turtle",
"tree", "w... | 27.387097 | 174 | 0.525324 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#@Time : 19-5-24 下午2:29
#@Author: elgong_hdu
#@File : makeLabel.py
import os
Class = ("apple", "orange", "bed", "bottle", "bus", "clock", "elephant", "keyboard", "motorcycle",
"mushroom", "rocket", "rose", "tank", "television", "tiger", "train", "turtle",
... | 597 | 0 | 0 | 0 | 0 | 410 | 0 | -12 | 46 |
5d9cfc0e766dd8d6b469a0667d2498e1d9cf49cc | 2,623 | py | Python | losses/NT_Xent.py | xyupeng/ContrastiveCrop | 305ff6d06f7e81a5a9f7f80480d81adc11436f9b | [
"MIT"
] | 148 | 2022-02-07T18:11:26.000Z | 2022-03-31T09:04:32.000Z | losses/NT_Xent.py | xyupeng/ContrastiveCrop | 305ff6d06f7e81a5a9f7f80480d81adc11436f9b | [
"MIT"
] | 5 | 2022-03-09T11:53:55.000Z | 2022-03-31T12:33:08.000Z | losses/NT_Xent.py | xyupeng/ContrastiveCrop | 305ff6d06f7e81a5a9f7f80480d81adc11436f9b | [
"MIT"
] | 11 | 2022-02-12T00:10:04.000Z | 2022-03-30T11:34:59.000Z | # Adapted from https://github.com/HobbitLong/SupContrast/blob/master/losses.py
import torch.nn as nn
| 34.973333 | 95 | 0.53069 | # Adapted from https://github.com/HobbitLong/SupContrast/blob/master/losses.py
import torch
import torch.nn as nn
import torch.nn.functional as F
class NT_Xent(nn.Module):
def __init__(self, temperature=0.07, base_temperature=0.07):
super(NT_Xent, self).__init__()
self.temperature = temperature
... | 0 | 0 | 0 | 2,452 | 0 | 0 | 0 | 1 | 68 |
d3d3c3b434d977f2f2ef91ee0237e7a382bda73c | 16,562 | py | Python | Functions/OwnLib.py | ShihaoWang/Contact-Transition-Tree | cf53aaea8a3a61d3eb92b96a6ca16a3b0c791afc | [
"MIT"
] | 2 | 2019-02-19T19:05:15.000Z | 2019-05-05T20:07:16.000Z | Functions/OwnLib.py | ShihaoWang/Contact-Transition-Tree | cf53aaea8a3a61d3eb92b96a6ca16a3b0c791afc | [
"MIT"
] | null | null | null | Functions/OwnLib.py | ShihaoWang/Contact-Transition-Tree | cf53aaea8a3a61d3eb92b96a6ca16a3b0c791afc | [
"MIT"
] | null | null | null | #!/usr/bin/python
# This is used to serve as a library such that some functions do not need to be rewritten over and ove again
# This part is for the operation on list
# This part of functions is used for file operation: read, write
# Some dynamics functions
# Related to the operation of the robot contact link
| 42.795866 | 216 | 0.697561 | #!/usr/bin/python
# This is used to serve as a library such that some functions do not need to be rewritten over and ove again
import sys, os
from random import randint
import numpy as np
import math
from klampt.math import so3,vectorops
# This part is for the operation on list
def Cross_Product(a, b):
# Only de... | 0 | 0 | 0 | 0 | 0 | 15,446 | 0 | 1 | 798 |
a7cde14fd6d9f8722af5c878f261e7e9f32533d2 | 4,768 | py | Python | reserway/f_search/views.py | shobhit907/reserway | fac3a4c4bde59dd5d9ca6817d0a0203fc1dc321f | [
"MIT"
] | null | null | null | reserway/f_search/views.py | shobhit907/reserway | fac3a4c4bde59dd5d9ca6817d0a0203fc1dc321f | [
"MIT"
] | null | null | null | reserway/f_search/views.py | shobhit907/reserway | fac3a4c4bde59dd5d9ca6817d0a0203fc1dc321f | [
"MIT"
] | null | null | null | # Create your views here. | 38.144 | 155 | 0.520973 | from django.shortcuts import render
from .models import *
from .forms import *
import datetime
# Create your views here.
def search_direct(s,d,flag,min_time=datetime.datetime(1,1,1)):
s2=Routes.objects.raw('SELECT * from f_search_routes')
d2=Routes.objects.raw('SELECT * from f_search_routes')
s3=[]
for... | 0 | 0 | 0 | 0 | 0 | 4,602 | 0 | 7 | 134 |
9db4e3a713e42b6507f1451409808b7616efff24 | 2,069 | py | Python | spec_folder.py | jiegev5/pytorch-CycleGAN-for-audio | af0e2f3b19019da2ac7e701ec56f349f3aa3826a | [
"BSD-3-Clause"
] | null | null | null | spec_folder.py | jiegev5/pytorch-CycleGAN-for-audio | af0e2f3b19019da2ac7e701ec56f349f3aa3826a | [
"BSD-3-Clause"
] | null | null | null | spec_folder.py | jiegev5/pytorch-CycleGAN-for-audio | af0e2f3b19019da2ac7e701ec56f349f3aa3826a | [
"BSD-3-Clause"
] | null | null | null | ###############################################################################
# Code from
# https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py
# Modified the original code so that it also loads images from the current
# directory as well as the subdirectories
################################... | 27.959459 | 80 | 0.555824 | ###############################################################################
# Code from
# https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py
# Modified the original code so that it also loads images from the current
# directory as well as the subdirectories
################################... | 0 | 0 | 0 | 874 | 0 | 495 | 0 | -10 | 160 |
9d4c4dde3899153c4d8a33bccb46675f4f126ff1 | 599 | py | Python | juliany_pizza/authentication/migrations/0005_alter_customuser_email.py | kzborisov/Juliany-Pizza | 4ebc0b21e314b244048df79e4858f30447b43f8b | [
"MIT"
] | null | null | null | juliany_pizza/authentication/migrations/0005_alter_customuser_email.py | kzborisov/Juliany-Pizza | 4ebc0b21e314b244048df79e4858f30447b43f8b | [
"MIT"
] | 9 | 2022-03-23T13:13:23.000Z | 2022-03-28T13:40:20.000Z | juliany_pizza/authentication/migrations/0005_alter_customuser_email.py | kzborisov/Juliany-Pizza | 4ebc0b21e314b244048df79e4858f30447b43f8b | [
"MIT"
] | null | null | null | # Generated by Django 3.2.12 on 2022-03-10 13:08
| 29.95 | 222 | 0.672788 | # Generated by Django 3.2.12 on 2022-03-10 13:08
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('authentication', '0004_alter_profile_user'),
]
operations = [
migrations.AlterField(
model_name='... | 0 | 0 | 0 | 454 | 0 | 0 | 0 | 27 | 68 |
e2f5761611f15b9e857235ee0341f1e72b758e3e | 3,366 | py | Python | self_supervised_3d_tasks/data_util/ukb_convert_brain_mri_to_npy.py | ramchandracheke/self-supervised-3d-tasks | dc184d5d29012fafb887402c5bc2ce74e4b0acdf | [
"Apache-2.0"
] | 134 | 2020-06-09T06:24:34.000Z | 2022-03-29T16:04:28.000Z | self_supervised_3d_tasks/data_util/ukb_convert_brain_mri_to_npy.py | ramchandracheke/self-supervised-3d-tasks | dc184d5d29012fafb887402c5bc2ce74e4b0acdf | [
"Apache-2.0"
] | 24 | 2020-07-15T15:58:29.000Z | 2022-03-11T07:12:34.000Z | self_supervised_3d_tasks/data_util/ukb_convert_brain_mri_to_npy.py | ramchandracheke/self-supervised-3d-tasks | dc184d5d29012fafb887402c5bc2ce74e4b0acdf | [
"Apache-2.0"
] | 29 | 2020-06-09T10:02:39.000Z | 2022-03-31T18:16:23.000Z | import glob
import os
import nibabel as nib
import numpy as np
def convert_mri_masks(type='fast'):
"""
:param type: can be "fast" or "first"
"""
source_path = "/mnt/projects/ukbiobank/original/imaging/brain_mri/T1_structural_brain_mri/unzipped/"
destination_path = "/mnt/projects/ukbiobank/deriv... | 41.555556 | 115 | 0.6224 | import glob
import os
import zipfile
import nibabel as nib
import numpy as np
import traceback
def convert_mri_unlabeled():
source_path = "/mnt/projects/ukbiobank/original/imaging/brain_mri/"
destination_path = "/mnt/projects/ukbiobank/derived/imaging/brain_mri/"
t1_zip_files = sorted(glob.glob(source_pa... | 0 | 0 | 0 | 0 | 0 | 2,104 | 0 | -12 | 67 |
e6ae978c27ed393c52a452c6b7f507ae4d1189b2 | 1,912 | py | Python | tests/test_base.py | lucfra/RFHO | e08a36fcc342a46648c5e9d7f64a69cb3d3c6c79 | [
"MIT"
] | 53 | 2017-04-23T10:24:14.000Z | 2021-12-21T09:49:12.000Z | tests/test_base.py | lucfra/RFHO | e08a36fcc342a46648c5e9d7f64a69cb3d3c6c79 | [
"MIT"
] | 2 | 2018-06-04T21:59:09.000Z | 2019-01-04T07:37:35.000Z | tests/test_base.py | lucfra/RFHO | e08a36fcc342a46648c5e9d7f64a69cb3d3c6c79 | [
"MIT"
] | 10 | 2017-05-02T12:57:27.000Z | 2021-02-26T01:44:17.000Z | import tensorflow as tf
from rfho.datasets import load_iris
import rfho as rf
TRACK = 'TRACK'
def iris_logistic_regression(augment=0):
"""
Simple model for testing purposes
:param augment:
:return:
"""
iris = load_iris(partitions_proportions=(.3,.3))
x = tf.placeholder(tf.float32, ... | 30.83871 | 106 | 0.605126 | import tensorflow as tf
from rfho.datasets import load_iris
import numpy as np
import rfho as rf
TRACK = 'TRACK'
def iris_logistic_regression(augment=0):
"""
Simple model for testing purposes
:param augment:
:return:
"""
iris = load_iris(partitions_proportions=(.3,.3))
x = tf.place... | 0 | 0 | 0 | 0 | 0 | 1,036 | 0 | -3 | 91 |
a22415747eb48fae78c827f83f3bd3d7121f9a94 | 481 | py | Python | coding_interviews/elements_of_programming_interview/buy_and_sell_stock_once.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 205 | 2018-12-01T17:49:49.000Z | 2021-12-22T07:02:27.000Z | coding_interviews/elements_of_programming_interview/buy_and_sell_stock_once.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 2 | 2020-01-01T16:34:29.000Z | 2020-04-26T19:11:13.000Z | coding_interviews/elements_of_programming_interview/buy_and_sell_stock_once.py | LeandroTk/Algorithms | 569ed68eba3eeff902f8078992099c28ce4d7cd6 | [
"MIT"
] | 50 | 2018-11-28T20:51:36.000Z | 2021-11-29T04:08:25.000Z | # Buy and Sell stoks once
prices = [310, 315, 275, 295, 260, 270, 290, 230, 255, 250]
print(buy_and_sell_stock_once(prices))
print(buy_and_sell_stock_once([]))
| 25.315789 | 59 | 0.68815 | # Buy and Sell stoks once
def buy_and_sell_stock_once(prices):
if not prices:
return 0
min_price, max_profit = float('inf'), 0.0
for price in prices:
profit_if_sell_today = price - min_price
max_profit = max(max_profit, profit_if_sell_today)
min_price = min(min_price, pric... | 0 | 0 | 0 | 0 | 0 | 297 | 0 | 0 | 23 |
6981e819f96460d5607cd191441bc03e129456e9 | 1,166 | py | Python | shrt/urls.py | geoffjay/shrt | 1d9093fdedf136bddfb822d5e989c71bbf7b4a64 | [
"MIT"
] | null | null | null | shrt/urls.py | geoffjay/shrt | 1d9093fdedf136bddfb822d5e989c71bbf7b4a64 | [
"MIT"
] | 4 | 2021-03-19T01:39:18.000Z | 2022-02-10T10:48:52.000Z | shrt/urls.py | geoffjay/shrt | 1d9093fdedf136bddfb822d5e989c71bbf7b4a64 | [
"MIT"
] | null | null | null | """shrt URL Configuration
'/admin' for the built-in django admin interface
'/graphql' displays the graphiql interface provided by graphene
'/<str:tag>' redirects to the URL that matches the shorted tag
"""
from django.contrib import admin
from django.urls import path
from graphene_django.views import GraphQLView
fro... | 32.388889 | 80 | 0.73928 | """shrt URL Configuration
'/admin' for the built-in django admin interface
'/graphql' displays the graphiql interface provided by graphene
'/<str:tag>' redirects to the URL that matches the shorted tag
"""
from django.contrib import admin
from django.urls import path
from graphene_django.views import GraphQLView
fro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
875966463799cbef95d97d4b8b1ab01362567e7f | 2,478 | py | Python | spot_motion_monitor/views/plot_configuration_dialog.py | lsst-sitcom/spot_motion_monitor | 3d0242276198126240667ba13e95b7bdf901d053 | [
"BSD-3-Clause"
] | null | null | null | spot_motion_monitor/views/plot_configuration_dialog.py | lsst-sitcom/spot_motion_monitor | 3d0242276198126240667ba13e95b7bdf901d053 | [
"BSD-3-Clause"
] | 5 | 2020-01-08T23:50:22.000Z | 2020-02-14T18:15:20.000Z | spot_motion_monitor/views/plot_configuration_dialog.py | lsst-com/spot_motion_monitor | 3d0242276198126240667ba13e95b7bdf901d053 | [
"MIT"
] | null | null | null | # This file is part of spot_motion_monitor.
#
# Developed for LSST System Integration, Test and Commissioning.
#
# See the LICENSE file at the top-level directory of this distribution
# for details of code ownership.
#
# Use of this source code is governed by a 3-clause BSD-style
# license that can be found in the LICE... | 36.441176 | 102 | 0.705811 | # This file is part of spot_motion_monitor.
#
# Developed for LSST System Integration, Test and Commissioning.
#
# See the LICENSE file at the top-level directory of this distribution
# for details of code ownership.
#
# Use of this source code is governed by a 3-clause BSD-style
# license that can be found in the LICE... | 0 | 0 | 0 | 1,982 | 0 | 0 | 0 | 81 | 46 |
850a820c7e066645528fcb9c663e0fac4d69513b | 2,003 | py | Python | cifar.py | KeremTurgutlu/senet.pytorch | b485756a521363f49a2bdaf7d70fd08595b40d96 | [
"MIT"
] | 1 | 2021-12-11T06:22:23.000Z | 2021-12-11T06:22:23.000Z | cifar.py | KeremTurgutlu/senet.pytorch | b485756a521363f49a2bdaf7d70fd08595b40d96 | [
"MIT"
] | null | null | null | cifar.py | KeremTurgutlu/senet.pytorch | b485756a521363f49a2bdaf7d70fd08595b40d96 | [
"MIT"
] | 1 | 2020-07-13T02:36:43.000Z | 2020-07-13T02:36:43.000Z | import torch.optim as optim
if __name__ == '__main__':
import argparse
p = argparse.ArgumentParser()
p.add_argument("--batchsize", type=int, default=64)
p.add_argument("--reduction", type=int, default=16)
p.add_argument("--baseline", action="store_true")
args = p.parse_args()
main(args.... | 35.767857 | 101 | 0.689965 | from pathlib import Path
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader
from torchvision import datasets, transforms
from se_resnet import se_resnet20
from baseline import resnet20
from utils import Trainer
def get_dataloader(batch_size, root="~/.torch/data/cifar1... | 0 | 0 | 0 | 0 | 0 | 1,362 | 0 | 78 | 201 |
ac175eb937edd8d280d1c318c9ccc9896254d653 | 4,945 | py | Python | lib/nlp/ExecMultinominalModelNaiveBayes.py | ProjectSalieri/SalieriRailsApp | e33cab4a975ce34977a6c557874738a6c570698c | [
"CC0-1.0"
] | null | null | null | lib/nlp/ExecMultinominalModelNaiveBayes.py | ProjectSalieri/SalieriRailsApp | e33cab4a975ce34977a6c557874738a6c570698c | [
"CC0-1.0"
] | null | null | null | lib/nlp/ExecMultinominalModelNaiveBayes.py | ProjectSalieri/SalieriRailsApp | e33cab4a975ce34977a6c557874738a6c570698c | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import os
import numpy as np
# idDocCategoryType
# main
if __name__ == '__main__':
argvs = sys.argv
cmd = None
category_type = "Genre"
input_data = np.array([])
is_exist_opt = False
for i in range(len(argvs)):
if i == 0:
continue
... | 33.412162 | 139 | 0.690394 | # -*- coding: utf-8 -*-
import sys
import os
import pickle
import numpy as np
from MySQLWrapper import MySQLWrapper
from MultinominalModelNaiveBayes import MultinominalModelNaiveBayes
from DocCategoryDBUtil import *
class CategoryData:
def __init__(self):
self.word_num = 0
self.document_num = 0... | 315 | 0 | 0 | 240 | 0 | 3,109 | 0 | 64 | 207 |
7444df6fa5bf378893c60c8fffba54c6799aa8ea | 2,705 | py | Python | Vol3A/UnixShell2/solutions.py | joshualy/numerical_computing | 9f474e36fe85ae663bd20e2f2d06265d1f095173 | [
"CC-BY-3.0"
] | null | null | null | Vol3A/UnixShell2/solutions.py | joshualy/numerical_computing | 9f474e36fe85ae663bd20e2f2d06265d1f095173 | [
"CC-BY-3.0"
] | null | null | null | Vol3A/UnixShell2/solutions.py | joshualy/numerical_computing | 9f474e36fe85ae663bd20e2f2d06265d1f095173 | [
"CC-BY-3.0"
] | 1 | 2019-11-05T14:45:03.000Z | 2019-11-05T14:45:03.000Z | # solutions_UnixShell2.py
'''
Solutions for Volume 3, Lab 2: More on Unix Shell
Written Summer 2015
'''
# PROBLEM 1: Make count_files.py an executable script
'''
SHELL COMMANDS: (Executed in the Shell-Lab/Python directory)
$ which python
On the author's system, this was: /home/tanner/anaconda/bin/python
Open count_fi... | 28.177083 | 116 | 0.606285 | # solutions_UnixShell2.py
'''
Solutions for Volume 3, Lab 2: More on Unix Shell
Written Summer 2015
'''
# PROBLEM 1: Make count_files.py an executable script
'''
SHELL COMMANDS: (Executed in the Shell-Lab/Python directory)
$ which python
On the author's system, this was: /home/tanner/anaconda/bin/python
Open count_fi... | 0 | 0 | 0 | 1,608 | 0 | 0 | 0 | -10 | 90 |
5f2731360c259abab07cee3c9042ce6adc5ff52c | 1,767 | py | Python | library/SensorTests/testdump.py | kausalyamahadevan/knitout-frontend-py | 1a0414a88db698383dda7e9b45ec1293948b369b | [
"MIT"
] | null | null | null | library/SensorTests/testdump.py | kausalyamahadevan/knitout-frontend-py | 1a0414a88db698383dda7e9b45ec1293948b369b | [
"MIT"
] | null | null | null | library/SensorTests/testdump.py | kausalyamahadevan/knitout-frontend-py | 1a0414a88db698383dda7e9b45ec1293948b369b | [
"MIT"
] | null | null | null | #creates just a miss section of knit (no tube)
import sys
sys.path.append('../knitout-frontend-py')
from library import knitout
from library import castonbindoff
# from crossover_full import *
# from library.crossover_half import *
# from library.crossover_full import *
# from seedKnit import*
# from library.fairIsle... | 19 | 67 | 0.685342 | #creates just a miss section of knit (no tube)
import sys
sys.path.append('../knitout-frontend-py')
from library import knitout
from library import castonbindoff
# from crossover_full import *
# from library.crossover_half import *
# from library.crossover_full import *
# from seedKnit import*
from library.jersey imp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 110 |
e17e6ade0ce4d409fc109d0ddebd49d3b2cc118e | 3,813 | py | Python | enaml/widgets/bounded_date.py | xtuzy/enaml | a1b5c0df71c665b6ef7f61d21260db92d77d9a46 | [
"BSD-3-Clause-Clear"
] | 1,080 | 2015-01-04T14:29:34.000Z | 2022-03-29T05:44:51.000Z | enaml/widgets/bounded_date.py | xtuzy/enaml | a1b5c0df71c665b6ef7f61d21260db92d77d9a46 | [
"BSD-3-Clause-Clear"
] | 308 | 2015-01-05T22:44:13.000Z | 2022-03-30T21:19:18.000Z | enaml/widgets/bounded_date.py | xtuzy/enaml | a1b5c0df71c665b6ef7f61d21260db92d77d9a46 | [
"BSD-3-Clause-Clear"
] | 123 | 2015-01-25T16:33:48.000Z | 2022-02-25T19:57:10.000Z | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
#-----------------------------------------------------... | 34.981651 | 79 | 0.556779 | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
#-----------------------------------------------------... | 0 | 248 | 0 | 3,001 | 0 | 0 | 0 | 79 | 137 |
27a1d9270ac6510e7623804bf24403f7d23b13b0 | 7,426 | py | Python | v2/csil/instructions.py | iahuang/scratch-gcc | bc4989f3dc54f0cdc3098f66078d17750c111bec | [
"MIT"
] | null | null | null | v2/csil/instructions.py | iahuang/scratch-gcc | bc4989f3dc54f0cdc3098f66078d17750c111bec | [
"MIT"
] | null | null | null | v2/csil/instructions.py | iahuang/scratch-gcc | bc4989f3dc54f0cdc3098f66078d17750c111bec | [
"MIT"
] | null | null | null | """ Definition and Scratch implementations for CSIL's instruction set """
""" Base Classes """
""" Basic """
""" Memory Manipulation """
""" Arithmetic """
""" Boolean """
registry = InstructionRegistry([
Set,
Copy,
Load,
Store,
Add,
Sub,
Mul,
Div,
Gt,
Lt,
Eq
]) | 32.570175 | 150 | 0.636682 | """ Definition and Scratch implementations for CSIL's instruction set """
from . import scratch
from .block_builder import makeBlockInput, makeBroadcastInput, makeListField, makeReporterInput, makeValueInput, makeVariableField, makeVariableInput
""" Base Classes """
class Instruction:
def __init__(self, name, a... | 0 | 0 | 0 | 6,589 | 0 | 0 | 0 | 128 | 391 |
8eeb8243e3afe2cd29c5bac160ad3732a3c519d6 | 266 | py | Python | PRAUTS/I.py | Myusuft/Alpro-part5 | 24ba5c25feb7ee381acdfcfe62a0982ae8ed259c | [
"MIT"
] | null | null | null | PRAUTS/I.py | Myusuft/Alpro-part5 | 24ba5c25feb7ee381acdfcfe62a0982ae8ed259c | [
"MIT"
] | null | null | null | PRAUTS/I.py | Myusuft/Alpro-part5 | 24ba5c25feb7ee381acdfcfe62a0982ae8ed259c | [
"MIT"
] | null | null | null | n = int(input())
masukan = list(map(int, input().split()))
angka = 0
n = int(input())
print()
for k in range (2,n+1) :
cek=True
for i in range(2,k) :
if k%i==0:
cek=False
break
if cek==True:
print(k) | 19 | 42 | 0.462406 | n = int(input())
masukan = list(map(int, input().split()))
angka = 0
n = int(input())
print()
for k in range (2,n+1) :
cek=True
for i in range(2,k) :
if k%i==0:
cek=False
break
if cek==True:
print(k) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
53dd2085eb992721e947f3d828f8478ce339402e | 20,099 | py | Python | google/appengine/tools/endpointscfg.py | brianrodri/google_appengine | ec4e7cdfa1afd99de23b0a32eb94563fe5e6ef43 | [
"Apache-2.0"
] | 1 | 2017-12-07T18:47:45.000Z | 2017-12-07T18:47:45.000Z | google/appengine/tools/endpointscfg.py | brianrodri/google_appengine | ec4e7cdfa1afd99de23b0a32eb94563fe5e6ef43 | [
"Apache-2.0"
] | 1 | 2020-04-14T07:06:58.000Z | 2020-04-14T07:06:58.000Z | google/appengine/tools/endpointscfg.py | brianrodri/google_appengine | ec4e7cdfa1afd99de23b0a32eb94563fe5e6ef43 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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-2.0
#
# Unless required by applicable law o... | 35.699822 | 80 | 0.705259 | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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-2.0
#
# Unless required by applicable law o... | 0 | 0 | 0 | 2,350 | 0 | 279 | 0 | 31 | 115 |
08c3f11d20e240ca171e1f9d0aa698cc9fa065be | 225 | py | Python | ml-api-public/api/app.py | ser0090/deployment-pm | 41d3174e0516d519aad5a248028f7c12fc84f27e | [
"MIT"
] | null | null | null | ml-api-public/api/app.py | ser0090/deployment-pm | 41d3174e0516d519aad5a248028f7c12fc84f27e | [
"MIT"
] | null | null | null | ml-api-public/api/app.py | ser0090/deployment-pm | 41d3174e0516d519aad5a248028f7c12fc84f27e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import settings
from flask import Flask
from views import router
app = Flask(__name__)
app.register_blueprint(router)
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=settings.API_DEBUG)
| 20.454545 | 53 | 0.72 | # -*- coding: utf-8 -*-
import settings
from flask import Flask
from views import router
app = Flask(__name__)
app.register_blueprint(router)
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=settings.API_DEBUG)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ecb5f9eb8589c1d36a1c427e8ebf2c76adffb2cd | 1,699 | py | Python | dev/era5_visualisation.py | meryamcherqaouifassi/2021_Bachelor_Thesis | 6c1e5b2e4e20352c9b21bb31a7600d15b1667d5d | [
"MIT"
] | 1 | 2021-12-01T15:38:41.000Z | 2021-12-01T15:38:41.000Z | dev/era5_visualisation.py | meryamcherqaouifassi/2021_Bachelor_Thesis | 6c1e5b2e4e20352c9b21bb31a7600d15b1667d5d | [
"MIT"
] | null | null | null | dev/era5_visualisation.py | meryamcherqaouifassi/2021_Bachelor_Thesis | 6c1e5b2e4e20352c9b21bb31a7600d15b1667d5d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Spyder Editor
This script is made to visualise data from era5 with cartopy
"""
# Imports
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import xarray as xr
import numpy as np
import matplotlib as mpl
# Load data
path_era5 = '/work/FAC/FGSE/IDYST/tbeucler/default/meryam/data/... | 23.597222 | 119 | 0.696881 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This script is made to visualise data from era5 with cartopy
"""
# Imports
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import xarray as xr
import numpy as np
import matplotlib as mpl
# Load data
path_era5 = '/work/FAC/FGSE/IDYST/tbeucler/default/meryam/data/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fad922d95c687a7843c26111c34385a1bdef0b27 | 7,258 | py | Python | plumcot_prodigy/select_characters.py | julietteBergoend/plumcot-prodigy | aaac14df24309e5b2064b213031d288d284a6747 | [
"MIT"
] | 1 | 2021-06-22T12:43:42.000Z | 2021-06-22T12:43:42.000Z | plumcot_prodigy/select_characters.py | julietteBergoend/plumcot-prodigy | aaac14df24309e5b2064b213031d288d284a6747 | [
"MIT"
] | null | null | null | plumcot_prodigy/select_characters.py | julietteBergoend/plumcot-prodigy | aaac14df24309e5b2064b213031d288d284a6747 | [
"MIT"
] | null | null | null | from typing import Dict, List
def remove_video_before_db(examples: List[Dict]) -> List[Dict]:
"""Remove (heavy) "video" and "pictures" key from examples before saving to Prodigy database
Parameters
----------
examples : list of dict
Examples.
Returns
-------
examples : list of dict... | 39.445652 | 354 | 0.526178 | import prodigy
from prodigy.components.loaders import Audio, Video, JSONL, ImageServer
from plumcot_prodigy.forced_alignment import ForcedAlignment
from plumcot_prodigy.video import mkv_to_base64
from plumcot_prodigy.custom_loaders import *
from prodigy.components.preprocess import add_tokens, fetch_media
from prodigy.... | 0 | 1,562 | 0 | 0 | 4,667 | 0 | 0 | 149 | 339 |
b815445819a0b379bdc639f992fc482d2fc7f6c3 | 6,270 | py | Python | trajopt/spacetime/states.py | uwgraphics/trajectoryoptimizer-public | 51a5f7c183184c033f2f12964e7dd935532331ff | [
"BSD-2-Clause"
] | null | null | null | trajopt/spacetime/states.py | uwgraphics/trajectoryoptimizer-public | 51a5f7c183184c033f2f12964e7dd935532331ff | [
"BSD-2-Clause"
] | null | null | null | trajopt/spacetime/states.py | uwgraphics/trajectoryoptimizer-public | 51a5f7c183184c033f2f12964e7dd935532331ff | [
"BSD-2-Clause"
] | null | null | null | __author__ = 'gleicher'
"""
infrastructure for spacetime problems
at each time, there needs to be a STATE for the robot
these states are created by interpolating the KEYS
a state sequence is something that provides a state vector (for a robot)
at every frame in the movement. it might be stored as a keyvector
(or com... | 35.423729 | 87 | 0.61547 | __author__ = 'gleicher'
"""
infrastructure for spacetime problems
at each time, there needs to be a STATE for the robot
these states are created by interpolating the KEYS
a state sequence is something that provides a state vector (for a robot)
at every frame in the movement. it might be stored as a keyvector
(or com... | 0 | 0 | 0 | 4,383 | 0 | 0 | 0 | -4 | 91 |
07164cbc9385365a508eae7245be942faa933a79 | 4,815 | py | Python | COMPUTE_IJ_SPM.py | Prajwal-Prathiksh/Panel_Methods | 387275a2791f616e5cd53e1713c409acc47f8f0a | [
"MIT"
] | 41 | 2019-10-13T02:20:01.000Z | 2022-03-16T10:43:46.000Z | COMPUTE_IJ_SPM.py | wissenschaftler48/Panel_Methods | a7d05d865e90bff36af06451b911bd4fa50df049 | [
"MIT"
] | null | null | null | COMPUTE_IJ_SPM.py | wissenschaftler48/Panel_Methods | a7d05d865e90bff36af06451b911bd4fa50df049 | [
"MIT"
] | 22 | 2019-10-23T12:54:19.000Z | 2022-03-03T06:08:33.000Z | # FUNCTION - COMPUTE I AND J GEOMETRIC INTEGRALS FOR SOURCE PANEL METHOD
# Written by: JoshTheEngineer
# YouTube : www.youtube.com/joshtheengineer
# Website : www.joshtheengineer.com
# Started : 02/03/19 - Transferred from MATLAB to Python
# - Works as expected
# : 04/28/20 - ... | 60.1875 | 131 | 0.445898 | # FUNCTION - COMPUTE I AND J GEOMETRIC INTEGRALS FOR SOURCE PANEL METHOD
# Written by: JoshTheEngineer
# YouTube : www.youtube.com/joshtheengineer
# Website : www.joshtheengineer.com
# Started : 02/03/19 - Transferred from MATLAB to Python
# - Works as expected
# : 04/28/20 - ... | 0 | 0 | 0 | 0 | 0 | 3,421 | 0 | 0 | 24 |
b187f9725a527310fa5348ff2306b750b499c469 | 3,802 | py | Python | production/pygsl-0.9.5/tests/multiminimize_test.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | null | null | null | production/pygsl-0.9.5/tests/multiminimize_test.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | null | null | null | production/pygsl-0.9.5/tests/multiminimize_test.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | 1 | 2018-10-02T06:18:07.000Z | 2018-10-02T06:18:07.000Z | import sys
import unittest
sys.stdout = sys.stderr
if __name__ == '__main__':
unittest.main()
| 30.416 | 104 | 0.545765 | import copy
import sys
import unittest
import pygsl._numobj as Numeric
from pygsl import Float
import pygsl
from pygsl import multiminimize
sys.stdout = sys.stderr
def my_f(v, params):
x = v[0]
y = v[1]
dp = params
t1 = (x - dp[0])
t2 = (y - dp[1])
f = 10.0 * t1 * t1 + 20.0 * t2 * t2 +... | 0 | 0 | 0 | 2,977 | 0 | 496 | 0 | 3 | 226 |
132c0f4be6c24aace082740ac0a2172e985a4b08 | 739 | py | Python | tests/test_infrastructure/factories.py | thread/django-devdata | da8933c861d82c1e4a2d887b61141e7b204367ce | [
"MIT"
] | 7 | 2021-05-12T09:22:14.000Z | 2022-01-17T15:22:26.000Z | tests/test_infrastructure/factories.py | thread/django-devdata | da8933c861d82c1e4a2d887b61141e7b204367ce | [
"MIT"
] | 4 | 2021-06-10T11:12:24.000Z | 2021-09-08T18:22:24.000Z | tests/test_infrastructure/factories.py | thread/django-devdata | da8933c861d82c1e4a2d887b61141e7b204367ce | [
"MIT"
] | 2 | 2021-06-21T17:35:21.000Z | 2022-03-09T15:44:21.000Z |
import faker
fake = faker.Factory.create()
| 21.114286 | 59 | 0.493911 | from typing import Any, Dict, Optional
import faker
fake = faker.Factory.create()
def make_photo_data(
pk: int, strategy: Optional[str], **fields
) -> Dict[str, Any]:
return {
"model": "photofeed.Photo",
"strategy": strategy,
"pk": pk,
"fields": {
"lat": 1,
... | 0 | 0 | 0 | 0 | 0 | 607 | 0 | 17 | 68 |
6297f326a0bb92b7ea38d33b46f5792ba2473d47 | 499 | py | Python | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | null | null | null | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | null | null | null | accepted/Find_All_Numbers_Disappeared_in_Array.py | sheagk/leetcode_solutions | 7571bd13f4274f6b4b622b43a414d56fc26d3be0 | [
"MIT"
] | 1 | 2020-09-03T14:26:00.000Z | 2020-09-03T14:26:00.000Z | ## https://leetcode.com/submissions/detail/230651834/
## problem is to find the numbers between 1 and length of the
## array that aren't in the array. simple way to do that is to
## do the set difference between range(1, len(ar)+1) and the
## input numbers
## hits 98th percentile in terms of runtime, though only
... | 38.384615 | 67 | 0.709419 | ## https://leetcode.com/submissions/detail/230651834/
## problem is to find the numbers between 1 and length of the
## array that aren't in the array. simple way to do that is to
## do the set difference between range(1, len(ar)+1) and the
## input numbers
## hits 98th percentile in terms of runtime, though only
... | 0 | 0 | 0 | 122 | 0 | 0 | 0 | 0 | 23 |
76d1aff2d4093ae21670ae3dca687f3dd27531f9 | 2,840 | py | Python | sodoku.py | pranavprakash20/Python | 5f2a9d3bde0ec4ab8fec5015a84efba4b061c844 | [
"MIT"
] | null | null | null | sodoku.py | pranavprakash20/Python | 5f2a9d3bde0ec4ab8fec5015a84efba4b061c844 | [
"MIT"
] | null | null | null | sodoku.py | pranavprakash20/Python | 5f2a9d3bde0ec4ab8fec5015a84efba4b061c844 | [
"MIT"
] | null | null | null |
sudoku = SudokuSolver("Path to your sudoku problem here") | 29.894737 | 77 | 0.520775 | class SudokuSolver:
"""
Solves sudoko puzzle. Save the puzzle in a file (space separated)
and pass the file name as parameter.
The missing digits has to be marked `0`
Sample input : (txt file containig sudoku)
3 0 6 5 0 8 4 0 0
5 2 0 0 0 0 0 0 0
0 8 7 0 0 0 0 3 1
0 0 3 0 1 0 0 8 0
... | 0 | 0 | 0 | 2,759 | 0 | 0 | 0 | 0 | 22 |
0a18c36ea363c5c364bc182c648337ca60e6bbba | 125 | py | Python | src/batch/CassandraHealthcheck.py | johannchopin/htw-m1-softwarearchitecture | 85256c5643b0b8b3016f007ca56ade37e048c683 | [
"Apache-2.0"
] | null | null | null | src/batch/CassandraHealthcheck.py | johannchopin/htw-m1-softwarearchitecture | 85256c5643b0b8b3016f007ca56ade37e048c683 | [
"Apache-2.0"
] | 1 | 2021-01-20T21:48:22.000Z | 2021-01-20T21:50:42.000Z | src/batch/CassandraHealthcheck.py | johannchopin/htw-m1-softwarearchitecture | 85256c5643b0b8b3016f007ca56ade37e048c683 | [
"Apache-2.0"
] | null | null | null | from sys import exit
from CassandraWrapper import CassandraWrapper
try:
CassandraWrapper()
except:
exit(1)
exit(0)
| 12.5 | 45 | 0.752 | from sys import exit
from CassandraWrapper import CassandraWrapper
try:
CassandraWrapper()
except:
exit(1)
exit(0)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
997e7470f0566a32d12321a1af06c7da1d5acee3 | 164 | py | Python | src/168A.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | 2 | 2016-08-19T09:47:03.000Z | 2016-10-01T10:15:03.000Z | src/168A.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | null | null | null | src/168A.py | viing937/codeforces | d694eb6967cd56af02963c3a662066048cb78d07 | [
"MIT"
] | 1 | 2015-07-01T23:57:32.000Z | 2015-07-01T23:57:32.000Z | # coding: utf-8
n, x, y = [int(i) for i in input().split()]
ans = int((y/100*n)-x)
if (ans+x)/n < y/100:
ans += 1
if ans > 0:
print(ans)
else:
print(0)
| 16.4 | 43 | 0.512195 | # coding: utf-8
n, x, y = [int(i) for i in input().split()]
ans = int((y/100*n)-x)
if (ans+x)/n < y/100:
ans += 1
if ans > 0:
print(ans)
else:
print(0)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e859ad455ba7c4ea0728ef31b9621d70f036dddb | 4,355 | py | Python | solutions/01-first-program/zodiac.py | nhuntwalker/python-thirty-minutes | 067669f5d2da681d46bedf1c15ab9f26322a9d5f | [
"MIT"
] | 1 | 2018-07-26T20:21:23.000Z | 2018-07-26T20:21:23.000Z | solutions/01-first-program/zodiac.py | nhuntwalker/python-thirty-minutes | 067669f5d2da681d46bedf1c15ab9f26322a9d5f | [
"MIT"
] | null | null | null | solutions/01-first-program/zodiac.py | nhuntwalker/python-thirty-minutes | 067669f5d2da681d46bedf1c15ab9f26322a9d5f | [
"MIT"
] | 1 | 2018-06-28T17:33:52.000Z | 2018-06-28T17:33:52.000Z | """Generates a random date and uses that date to print information about
the corresponding Zodiac sign.
Zodiac date ranges come from here:
- http://astrostyle.com/zodiac-sign-dates/
Zodiac sign characterstics come from here:
- http://nuclear.ucdavis.edu/~rpicha/personal/astrology/
Astrology is absolute BS and is no... | 25.769231 | 73 | 0.698967 | """Generates a random date and uses that date to print information about
the corresponding Zodiac sign.
Zodiac date ranges come from here:
- http://astrostyle.com/zodiac-sign-dates/
Zodiac sign characterstics come from here:
- http://nuclear.ucdavis.edu/~rpicha/personal/astrology/
Astrology is absolute BS and is no... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b3fad814d31adc06b283f3eb303a4f43de8eb174 | 248 | py | Python | Codewars/6kyu/split-strings/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/6kyu/split-strings/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/6kyu/split-strings/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 3.6.0
test.describe('Example Tests')
tests = [
('asdfadsf', ['as', 'df', 'ad', 'sf']),
('asdfads', ['as', 'df', 'ad', 's_']),
('', []),
('x', ['x_'])
]
for inp, exp in tests:
test.assert_equals(solution(inp), exp)
| 17.714286 | 43 | 0.479839 | # Python - 3.6.0
test.describe('Example Tests')
tests = [
('asdfadsf', ['as', 'df', 'ad', 'sf']),
('asdfads', ['as', 'df', 'ad', 's_']),
('', []),
('x', ['x_'])
]
for inp, exp in tests:
test.assert_equals(solution(inp), exp)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
afe05b5262dcfe9a8f81299b45f884f8a8bd0926 | 108 | py | Python | protector/__init__.py | IsaevNik/django-protector | 5ea0eea5797e88b436007a585716efcafbb8d805 | [
"MIT"
] | null | null | null | protector/__init__.py | IsaevNik/django-protector | 5ea0eea5797e88b436007a585716efcafbb8d805 | [
"MIT"
] | null | null | null | protector/__init__.py | IsaevNik/django-protector | 5ea0eea5797e88b436007a585716efcafbb8d805 | [
"MIT"
] | null | null | null | __author__ = 'Sergey Lihobabin'
__version__ = '0.5.8'
default_app_config = 'protector.apps.ProtectorConfig'
| 27 | 53 | 0.787037 | __author__ = 'Sergey Lihobabin'
__version__ = '0.5.8'
default_app_config = 'protector.apps.ProtectorConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8889933cacd7bc4a9f1fc0f768aa8eb195df40dd | 153 | py | Python | doubanmovie/items.py | luojunhui/doubanmovie | 364a60c605b5d96fddbdbcaf4e72900847a5a103 | [
"MIT"
] | null | null | null | doubanmovie/items.py | luojunhui/doubanmovie | 364a60c605b5d96fddbdbcaf4e72900847a5a103 | [
"MIT"
] | 4 | 2021-03-31T19:06:30.000Z | 2022-03-02T14:58:29.000Z | doubanmovie/items.py | luojunhui/doubanmovie | 364a60c605b5d96fddbdbcaf4e72900847a5a103 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 17 | 35 | 0.627451 | # -*- coding: utf-8 -*-
import scrapy
class DoubanmovieItem(scrapy.Item):
name = scrapy.Field()
rate = scrapy.Field()
tag = scrapy.Field()
| 0 | 0 | 0 | 91 | 0 | 0 | 0 | -8 | 45 |
31f85d5c4713b8d7bd2fc8a178758f9cff7ffa64 | 3,810 | py | Python | recipes/views.py | JakubKoralewski/django-recipes | 3794c6a96fb0765e2e3cebfc3968dae88e4f084c | [
"MIT"
] | null | null | null | recipes/views.py | JakubKoralewski/django-recipes | 3794c6a96fb0765e2e3cebfc3968dae88e4f084c | [
"MIT"
] | 5 | 2021-03-19T03:49:52.000Z | 2021-06-10T19:16:05.000Z | recipes/views.py | JakubKoralewski/django-recipes | 3794c6a96fb0765e2e3cebfc3968dae88e4f084c | [
"MIT"
] | null | null | null |
# https://docs.djangoproject.com/en/3.0/intro/tutorial03/
# def index(request):
# latest_recipes = Recipe.objects.order_by('-pub_date')[:5]
# context = {
# 'latest_recipes': latest_recipes
# }
# https://docs.djangoproject.com/en/3.0/ref/request-response/
| 33.130435 | 115 | 0.724147 | from typing import Dict
from django.http import HttpResponseRedirect
from django.views import generic
from django.shortcuts import render, get_object_or_404
from ipware import get_client_ip
from pprint import pprint
from .forms import RecipeForm
from .models import Recipe, StepsOfRecipe, IngredientsOfStep, Ingredient... | 0 | 0 | 0 | 276 | 0 | 2,801 | 0 | 198 | 270 |
481ee74868c0a853a521662370b4d51fcf1516b2 | 1,790 | py | Python | setup.py | deets/deets-fpv-laptimer | be4688e9bf1fa17cd80ee1ebee6c5dfc4631623c | [
"MIT"
] | null | null | null | setup.py | deets/deets-fpv-laptimer | be4688e9bf1fa17cd80ee1ebee6c5dfc4631623c | [
"MIT"
] | 2 | 2021-03-21T16:53:22.000Z | 2022-01-13T02:07:54.000Z | setup.py | deets/deets-fpv-laptimer | be4688e9bf1fa17cd80ee1ebee6c5dfc4631623c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright: 2020, Diez B. Roggisch, Berlin . All rights reserved.
import os
from setuptools import setup, find_packages
# Meta information
version = open("VERSION").read().strip()
dirname = os.path.dirname(__file__)
author = open("AUTHOR").read().strip()
# Save version and author to __meta_... | 24.189189 | 66 | 0.58324 | # -*- coding: utf-8 -*-
# Copyright: 2020, Diez B. Roggisch, Berlin . All rights reserved.
import os
from setuptools import setup, find_packages
# Meta information
version = open("VERSION").read().strip()
dirname = os.path.dirname(__file__)
author = open("AUTHOR").read().strip()
# Save version and author to __meta_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dfb4aedff99063b3d4fdd6c6cc519ca5875cbfc2 | 2,482 | py | Python | vendor/packages/coverage/setup.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | 2 | 2019-08-19T17:08:47.000Z | 2019-10-05T11:37:02.000Z | vendor/packages/coverage/setup.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | vendor/packages/coverage/setup.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | # setup.py for coverage.
"""Code coverage measurement for Python
Coverage.py measures code coverage, typically during test execution. It uses
the code analysis tools and tracing hooks provided in the Python standard
library to determine which lines are executable, and which have been executed.
Coverage.py runs on Py... | 25.070707 | 79 | 0.676471 | # setup.py for coverage.
"""Code coverage measurement for Python
Coverage.py measures code coverage, typically during test execution. It uses
the code analysis tools and tracing hooks provided in the Python standard
library to determine which lines are executable, and which have been executed.
Coverage.py runs on Py... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3c93e6f45ea5ba8d4e1588726b25150d2799b7a2 | 1,402 | py | Python | python/ct/crypto/signing/signer_ecdsa_test.py | kucske/certificate-transparency | fb5b4503f7e3ddf6721fed60cc8b019303742cd0 | [
"Apache-2.0"
] | 807 | 2015-01-03T09:12:09.000Z | 2022-03-31T14:59:13.000Z | python/ct/crypto/signing/signer_ecdsa_test.py | kucske/certificate-transparency | fb5b4503f7e3ddf6721fed60cc8b019303742cd0 | [
"Apache-2.0"
] | 845 | 2015-01-02T02:03:18.000Z | 2022-03-16T09:12:55.000Z | python/ct/crypto/signing/signer_ecdsa_test.py | kucske/certificate-transparency | fb5b4503f7e3ddf6721fed60cc8b019303742cd0 | [
"Apache-2.0"
] | 313 | 2015-01-08T07:50:30.000Z | 2022-03-03T14:25:46.000Z | #!/usr/bin/env python
"""Tests for signer_ecdsa."""
import unittest
PRIVATE_KEY_PEM = ("-----BEGIN EC PRIVATE KEY-----\n"
"MHcCAQEEIFLw4uhuCruGKjrS9MoNeXFbypqZe+Sgh+EL1gnRn1d4oAoGCCqGSM49\n"
"AwEHoUQDQgAEmXg8sUUzwBYaWrRb+V0IopzQ6o3UyEJ04r5ZrRXGdpYM8K+hB0pX\n"
"rGRLI0eeWz+3skXrS0IO83AhA3GpRL6s6w==\n"
... | 35.948718 | 82 | 0.74679 | #!/usr/bin/env python
"""Tests for signer_ecdsa."""
import unittest
from ct.proto import client_pb2
from ct.crypto.signing import signer_ecdsa
PRIVATE_KEY_PEM = ("-----BEGIN EC PRIVATE KEY-----\n"
"MHcCAQEEIFLw4uhuCruGKjrS9MoNeXFbypqZe+Sgh+EL1gnRn1d4oAoGCCqGSM49\n"
"AwEHoUQDQgAEmXg8sUUzwBYaWrRb+V0IopzQ6o3UyEJ04r5Z... | 0 | 0 | 0 | 896 | 0 | 0 | 0 | 31 | 69 |
42914ef4e6196ceddd1d4e4570bc2824ec718caf | 4,284 | py | Python | minecraft_mod_manager/gateways/api/modrinth_api_test.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 56 | 2021-02-13T20:28:35.000Z | 2022-03-27T17:29:54.000Z | minecraft_mod_manager/gateways/api/modrinth_api_test.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 102 | 2020-11-11T13:19:38.000Z | 2022-03-31T18:27:06.000Z | minecraft_mod_manager/gateways/api/modrinth_api_test.py | lospejos/minecraft-mod-manager | 49ec3f6e22dd07a6389d8704bf97c4068be79660 | [
"MIT"
] | 8 | 2021-02-17T20:27:32.000Z | 2022-03-21T20:06:30.000Z | from pathlib import Path
testdata_dir = Path(__file__).parent.joinpath("testdata").joinpath("modrinth_api")
search_result_file = testdata_dir.joinpath("search_fabric-api.json")
versions_result_file = testdata_dir.joinpath("versions_fabric-api.json")
site_id = "P7dR8mSH"
| 30.820144 | 116 | 0.627218 | import json
from pathlib import Path
from typing import Union
import pytest
from mockito import mock, unstub, verifyStubbedInvocationsAreUsed, when
from ...core.entities.mod import Mod
from ...core.entities.mod_loaders import ModLoaders
from ...core.entities.sites import Site, Sites
from ...core.entities.version_info... | 0 | 1,211 | 0 | 0 | 0 | 2,219 | 0 | 190 | 383 |
15e3c5d5c85f0534e9e2651f1d1d0f7563aff17e | 2,725 | py | Python | algorithms/code/leetcode/lc273_integer_to_english_words/lc273_integer_to_english_words.py | altermarkive/training | 6a13f5b2f466156ad5db0e25da0e601d2404b4c3 | [
"MIT"
] | null | null | null | algorithms/code/leetcode/lc273_integer_to_english_words/lc273_integer_to_english_words.py | altermarkive/training | 6a13f5b2f466156ad5db0e25da0e601d2404b4c3 | [
"MIT"
] | 1 | 2022-02-16T11:28:56.000Z | 2022-02-16T11:28:56.000Z | algorithms/code/leetcode/lc273_integer_to_english_words/lc273_integer_to_english_words.py | altermarkive/training | 6a13f5b2f466156ad5db0e25da0e601d2404b4c3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# https://leetcode.com/problems/integer-to-english-words/
| 30.965909 | 92 | 0.535046 | #!/usr/bin/env python3
# https://leetcode.com/problems/integer-to-english-words/
import unittest
class Solution:
__MAGNITUDE = [
'', ' Thousand', ' Million', ' Billion', ' Trillion', ' Quadrillion',
' Quintillion', ' Sextillion', ' Septillion', ' Octillion',
' Nonillion']
__TENS = [
... | 0 | 0 | 0 | 2,579 | 0 | 0 | 0 | -6 | 69 |
fc3a1d644a244cd25cc5d65876a0a3cfb6e8bbd7 | 4,688 | py | Python | modelci/hub/utils.py | univerone/ML-Model-CI | f77635e469477b640a5c2d9b7ad3fe13374ce59e | [
"Apache-2.0"
] | 170 | 2020-06-08T18:30:52.000Z | 2022-03-28T12:08:11.000Z | modelci/hub/utils.py | crazyCoderLi/ML-Model-CI | f77635e469477b640a5c2d9b7ad3fe13374ce59e | [
"Apache-2.0"
] | 146 | 2020-06-14T18:56:27.000Z | 2022-02-27T21:15:59.000Z | modelci/hub/utils.py | univerone/ML-Model-CI | f77635e469477b640a5c2d9b7ad3fe13374ce59e | [
"Apache-2.0"
] | 36 | 2020-06-08T18:30:56.000Z | 2022-03-07T18:10:19.000Z | import re
from pathlib import Path
from typing import Union
from modelci.types.models.common import Task, Framework, Engine
from modelci.types.trtis_objects import ModelInputFormat
def parse_path(path: Path):
"""Obtain filename, task, framework and engine from saved path.
"""
if re.match(r'^.*?[!/]*/[A-... | 33.248227 | 98 | 0.604735 | import re
from collections import defaultdict
from enum import unique, Enum
from pathlib import Path
from typing import Union
from modelci.types.models.common import Task, Framework, Engine
from modelci.types.trtis_objects import DataType, ModelInputFormat
def parse_path(path: Path):
"""Obtain filename, task, fr... | 0 | 245 | 0 | 0 | 0 | 1,605 | 0 | 32 | 136 |
5329506ddd1f69026c9c699197121682c02c1616 | 6,732 | py | Python | crm/core/migrations/0003_auto__add_job__add_field_people_job2.py | klebercode/navasil | b6eec748659e7ba6bf3610a81a766f0efa9b6577 | [
"MIT"
] | null | null | null | crm/core/migrations/0003_auto__add_job__add_field_people_job2.py | klebercode/navasil | b6eec748659e7ba6bf3610a81a766f0efa9b6577 | [
"MIT"
] | null | null | null | crm/core/migrations/0003_auto__add_job__add_field_people_job2.py | klebercode/navasil | b6eec748659e7ba6bf3610a81a766f0efa9b6577 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 70.125 | 141 | 0.542632 | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Job'
db.create_table(u'core_job', (
(u'id', s... | 0 | 0 | 0 | 6,544 | 0 | 0 | 0 | 53 | 111 |
4e7373de8c9795960f26735978f3922e8da480b1 | 633 | py | Python | bin/check_if_virtual_environment.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 16 | 2020-01-28T08:40:02.000Z | 2022-03-02T05:26:50.000Z | bin/check_if_virtual_environment.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 294 | 2020-02-04T17:15:26.000Z | 2022-03-30T13:53:48.000Z | bin/check_if_virtual_environment.py | RobertRosca/PyFstat | 1c9568bb3dc87c3d33aeb41b3f572e9990665372 | [
"MIT"
] | 10 | 2020-02-04T16:57:55.000Z | 2022-02-03T00:12:25.000Z | #!/usr/bin/env python3
import os
import sys
is_virtual_environment = sys.prefix != sys.base_prefix
is_conda_environment = os.path.exists(os.path.join(sys.prefix, "conda-meta", "history"))
if not (is_virtual_environment or is_conda_environment):
sys.exit(
"Sorry, you are not using neither a virtual environ... | 31.65 | 88 | 0.71564 | #!/usr/bin/env python3
import os
import sys
is_virtual_environment = sys.prefix != sys.base_prefix
is_conda_environment = os.path.exists(os.path.join(sys.prefix, "conda-meta", "history"))
if not (is_virtual_environment or is_conda_environment):
sys.exit(
"Sorry, you are not using neither a virtual environ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
43afc46de3a2e1058f81067764b0058dcb21bf6d | 325 | py | Python | apps/superheroes/apis/v2/__init__.py | ericmittelhammer/newrelic-microservices-sandbox | 81d13af1f0c448672814a14535eb547d742e3583 | [
"Apache-2.0"
] | null | null | null | apps/superheroes/apis/v2/__init__.py | ericmittelhammer/newrelic-microservices-sandbox | 81d13af1f0c448672814a14535eb547d742e3583 | [
"Apache-2.0"
] | null | null | null | apps/superheroes/apis/v2/__init__.py | ericmittelhammer/newrelic-microservices-sandbox | 81d13af1f0c448672814a14535eb547d742e3583 | [
"Apache-2.0"
] | null | null | null | from flask import Blueprint
from flask_restx import Api
from .superheroes import api as superheroes_api
blueprint = Blueprint("apiV2", __name__)
api = Api(
blueprint,
title="Superhero Api",
version="2.0",
description="v2 of the Superhero Api",
# All API metadatas
)
api.add_namespace(superheroes_... | 19.117647 | 47 | 0.729231 | from flask import Blueprint
from flask_restx import Api
from .superheroes import api as superheroes_api
blueprint = Blueprint("apiV2", __name__)
api = Api(
blueprint,
title="Superhero Api",
version="2.0",
description="v2 of the Superhero Api",
# All API metadatas
)
api.add_namespace(superheroes_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
70181b1ee5ff049ec7d1c79bddb1cf8003477288 | 1,202 | py | Python | tests/test_nfw.py | DifferentiableUniverseInitiative/DHOD | ad36dbf22b3aab1b4d0b7327f90c29639239b145 | [
"MIT"
] | 6 | 2020-03-26T17:16:22.000Z | 2021-08-19T21:39:16.000Z | tests/test_nfw.py | DifferentiableUniverseInitiative/DHOD | ad36dbf22b3aab1b4d0b7327f90c29639239b145 | [
"MIT"
] | 23 | 2019-11-12T23:49:31.000Z | 2021-08-06T16:53:35.000Z | tests/test_nfw.py | DifferentiableUniverseInitiative/DHOD | ad36dbf22b3aab1b4d0b7327f90c29639239b145 | [
"MIT"
] | 1 | 2019-12-02T00:52:37.000Z | 2019-12-02T00:52:37.000Z | import numpy as np
from numpy.testing import assert_allclose
from diffhod.distributions import NFW
from halotools.empirical_models import NFWProfile
def test_nfw_mass_cdf():
"""
Compares CDF values to halotools
"""
model = NFWProfile()
scaled_radius = np.logspace(-2, 0, 100)
for c in [5, 10, 20]:
di... | 26.130435 | 70 | 0.671381 | import numpy as np
from numpy.testing import assert_allclose
from diffhod.distributions import NFW
from halotools.empirical_models import NFWProfile
def test_nfw_mass_cdf():
"""
Compares CDF values to halotools
"""
model = NFWProfile()
scaled_radius = np.logspace(-2, 0, 100)
for c in [5, 10, 20]:
di... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4d01a5cf7757ca1551a84d43f3c762060e796838 | 434 | py | Python | des058.py | LeonardoPereirajr/Curso_em_video_Python | 9d8a97ba3389c8e86b37dfd089fab5d04adc146d | [
"MIT"
] | null | null | null | des058.py | LeonardoPereirajr/Curso_em_video_Python | 9d8a97ba3389c8e86b37dfd089fab5d04adc146d | [
"MIT"
] | null | null | null | des058.py | LeonardoPereirajr/Curso_em_video_Python | 9d8a97ba3389c8e86b37dfd089fab5d04adc146d | [
"MIT"
] | null | null | null | import random
from time import sleep
lista = [0,1,2,3,4,5]
aleatorio = random.choice(lista)
print(20*'=')
print(" JOGO DA ADIVINHAO")
print(20*'=')
escolha = int(input("Digite um numero de 0 a 5: "))
print('PROCESSANDO...')
sleep(2)
while escolha != aleatorio:
escolha = int(input("Voce errou. Tente novam... | 31 | 77 | 0.665899 | import random
from time import sleep
lista = [0,1,2,3,4,5]
aleatorio = random.choice(lista)
print(20*'=')
print(" JOGO DA ADIVINHAÇÃO")
print(20*'=')
escolha = int(input("Digite um numero de 0 a 5: "))
print('PROCESSANDO...')
sleep(2)
while escolha != aleatorio:
escolha = int(input("Voce errou. Tente nov... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
668d01a02f6c0e3ce1f935c7e693d4f708b6660d | 23,176 | py | Python | tests/test_html.py | uk-gov-mirror/alphagov.digitalmarketplace-content-loader | a05fa7faa272da0dfdbbcd2fd467bcce545a8896 | [
"MIT"
] | 1 | 2016-09-27T20:26:09.000Z | 2016-09-27T20:26:09.000Z | tests/test_html.py | alphagov/digitalmarketplace-content-loader | 2c96a219a91be1ed1e338ef66e3bb6a6c145e424 | [
"MIT"
] | 67 | 2016-05-06T09:06:45.000Z | 2021-07-22T15:25:18.000Z | tests/test_html.py | uk-gov-mirror/alphagov.digitalmarketplace-content-loader | a05fa7faa272da0dfdbbcd2fd467bcce545a8896 | [
"MIT"
] | 8 | 2016-06-28T05:27:14.000Z | 2021-04-10T18:03:45.000Z |
link_attributes = 'class="govuk-link" rel="external noreferrer noopener" target="_blank"'
| 37.993443 | 118 | 0.555618 | from textwrap import dedent
import jinja2
import pytest
from jinja2 import Markup
from dmcontent.content_loader import ContentManifest
from dmcontent.html import text_to_html, to_html, to_summary_list_rows, to_summary_list_row
@pytest.fixture
def content_summary():
content = ContentManifest(
[
... | 4 | 12,525 | 0 | 0 | 0 | 9,512 | 0 | 95 | 916 |
e290a14b8b88f7fc8c1952718b5b1b4ae22f35bc | 3,971 | py | Python | server/models/point.py | infusion-code/meArmPi | 1dd269f6323aaaf53ffded04ef700f44fe05f3b0 | [
"MIT"
] | 3 | 2018-09-20T19:42:35.000Z | 2020-05-28T16:31:27.000Z | server/models/point.py | infusion-code/meArmPi | 1dd269f6323aaaf53ffded04ef700f44fe05f3b0 | [
"MIT"
] | 2 | 2020-08-14T03:15:36.000Z | 2022-01-25T22:48:38.000Z | server/models/point.py | Avanade/meArmPi | 1dd269f6323aaaf53ffded04ef700f44fe05f3b0 | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
| 20.364103 | 131 | 0.491312 | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from server.models.base_model_ import Model
from server import util
class Point(Model):
"""NOTE: This class is auto generated by the swagger code generator progra... | 0 | 2,094 | 0 | 1,633 | 0 | 0 | 0 | 46 | 141 |
98acdbbb6844a072e17d9e580e9584f203927afe | 1,143 | py | Python | snap_scripts/epscor_sc/tabular_test/run_all_tabular_outputs_slurm_epscor_se.py | ua-snap/downscale | 3fe8ea1774cf82149d19561ce5f19b25e6cba6fb | [
"MIT"
] | 5 | 2020-06-24T21:55:12.000Z | 2022-03-23T16:32:54.000Z | snap_scripts/epscor_sc/tabular_test/run_all_tabular_outputs_slurm_epscor_se.py | ua-snap/downscale | 3fe8ea1774cf82149d19561ce5f19b25e6cba6fb | [
"MIT"
] | 17 | 2016-01-04T23:37:47.000Z | 2017-04-17T20:57:02.000Z | snap_scripts/epscor_sc/tabular_test/run_all_tabular_outputs_slurm_epscor_se.py | ua-snap/downscale | 3fe8ea1774cf82149d19561ce5f19b25e6cba6fb | [
"MIT"
] | 3 | 2020-09-16T04:48:57.000Z | 2021-05-25T03:46:00.000Z | # run all of them in one go with slurm
# # # EXAMPLE RUN SINGLE MODEL
if __name__ == '__main__':
import os
script_names = [ 'model_diffs_metrics_epscor_se.py',\
'model_variability_metrics_epscor_se_DECADAL_multidomain.py', \
'model_variability_metrics_epscor_se_DECADAL_multidomain_cru.py' ]
slurm_pat... | 33.617647 | 98 | 0.672791 | # run all of them in one go with slurm
# # # EXAMPLE RUN SINGLE MODEL
def run_model( fn, command ):
import os, subprocess
head = '#!/bin/sh\n' + \
'#SBATCH --ntasks=32\n' + \
'#SBATCH --nodes=1\n' + \
'#SBATCH --ntasks-per-node=32\n' + \
'#SBATCH --account=snap\n' + \
'#SBATCH --mail-type=FAIL\n' + \
... | 0 | 0 | 0 | 0 | 0 | 425 | 0 | 12 | 22 |
0da4c05e941dc75b45b55cfc7e06664aa7787e9d | 586 | py | Python | qlib/contrib/online/__init__.py | quantww/qlib | fe155703b0bc1192e7f9afed98af225e3a91da33 | [
"MIT"
] | 1 | 2021-12-14T13:48:38.000Z | 2021-12-14T13:48:38.000Z | qlib/contrib/online/__init__.py | quantww/qlib | fe155703b0bc1192e7f9afed98af225e3a91da33 | [
"MIT"
] | null | null | null | qlib/contrib/online/__init__.py | quantww/qlib | fe155703b0bc1192e7f9afed98af225e3a91da33 | [
"MIT"
] | null | null | null | # pylint: skip-file
# flake8: noqa
'''
TODO:
- Online needs that the model have such method
def get_data_with_date(self, date, **kwargs):
"""
Will be called in online module
need to return the data that used to predict the label (score) of stocks at date.
:param
date: ... | 26.636364 | 98 | 0.619454 | # pylint: skip-file
# flake8: noqa
'''
TODO:
- Online needs that the model have such method
def get_data_with_date(self, date, **kwargs):
"""
Will be called in online module
need to return the data that used to predict the label (score) of stocks at date.
:param
date: ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
85dacffd6f83c7e47af17c6bd6b1de405cb7847c | 1,581 | py | Python | extractor.py | Manoj-kumar-Nallamala/Automatic-question-generation-for-cognitive-bot-evaluation | 0c924c793d53690c24ad7d71b17d39279f53efa1 | [
"MIT"
] | null | null | null | extractor.py | Manoj-kumar-Nallamala/Automatic-question-generation-for-cognitive-bot-evaluation | 0c924c793d53690c24ad7d71b17d39279f53efa1 | [
"MIT"
] | null | null | null | extractor.py | Manoj-kumar-Nallamala/Automatic-question-generation-for-cognitive-bot-evaluation | 0c924c793d53690c24ad7d71b17d39279f53efa1 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 32.265306 | 114 | 0.691967 | import nltk
from nltk import word_tokenize,pos_tag,sent_tokenize
def remove_appos(tokens_tag,text):#function to remove appositive(',') and elminating the relative pronouns
index_of_appos=None
for i in range(0,len(tokens_tag)-1):
if tokens_tag[i][1]=='NNP' and tokens_tag[i+1][0]==',':#finding if appositive (... | 0 | 0 | 0 | 0 | 0 | 1,400 | 0 | 21 | 115 |
96225d03f08bd3a4b800189fafc50413ad2df299 | 4,998 | py | Python | etc/pi_garage_alert_config.py | SebasRaveg/SensorPuerta | 0d6aec2731bc6a5d4a9727cb5cf04336b950ed75 | [
"MIT"
] | null | null | null | etc/pi_garage_alert_config.py | SebasRaveg/SensorPuerta | 0d6aec2731bc6a5d4a9727cb5cf04336b950ed75 | [
"MIT"
] | null | null | null | etc/pi_garage_alert_config.py | SebasRaveg/SensorPuerta | 0d6aec2731bc6a5d4a9727cb5cf04336b950ed75 | [
"MIT"
] | null | null | null | #!/usr/bin/python2.7
##############################################################################
# Global settings
##############################################################################
# Describes all the garage doors being monitored
GARAGE_DOORS = [
# {
# 'pin': 16,
# 'name': "Garage Doo... | 34 | 173 | 0.454182 | #!/usr/bin/python2.7
##############################################################################
# Global settings
##############################################################################
# Describes all the garage doors being monitored
GARAGE_DOORS = [
# {
# 'pin': 16,
# 'name': "Garage Doo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4872a60edf0eaad6dfff24e457a38ff3b99aef20 | 2,835 | py | Python | tests/test_packaging.py | armaandhull/great_expectations | 257d0a06cdae09a6b20aa1f6554649de10409fa7 | [
"Apache-2.0"
] | null | null | null | tests/test_packaging.py | armaandhull/great_expectations | 257d0a06cdae09a6b20aa1f6554649de10409fa7 | [
"Apache-2.0"
] | null | null | null | tests/test_packaging.py | armaandhull/great_expectations | 257d0a06cdae09a6b20aa1f6554649de10409fa7 | [
"Apache-2.0"
] | null | null | null | import requirements as rp
from great_expectations.data_context.util import file_relative_path
def test_requirements_files():
"""requirements.txt should be a subset of requirements-dev.txt"""
with open(file_relative_path(__file__, "../requirements.txt")) as req:
requirements = set(
[f'{li... | 38.310811 | 84 | 0.665256 | import requirements as rp
from great_expectations.data_context.util import file_relative_path
def test_requirements_files():
"""requirements.txt should be a subset of requirements-dev.txt"""
with open(file_relative_path(__file__, "../requirements.txt")) as req:
requirements = set(
[f'{li... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ce6384144e065062c3437499adb14e89f34e2b16 | 184 | py | Python | gp/GPsimtest_basic.py | ericlee0803/surrogate-GCP | 0d04355bf17dc330b383353b51a62a28276de063 | [
"BSD-3-Clause"
] | null | null | null | gp/GPsimtest_basic.py | ericlee0803/surrogate-GCP | 0d04355bf17dc330b383353b51a62a28276de063 | [
"BSD-3-Clause"
] | null | null | null | gp/GPsimtest_basic.py | ericlee0803/surrogate-GCP | 0d04355bf17dc330b383353b51a62a28276de063 | [
"BSD-3-Clause"
] | null | null | null |
if __name__ == '__main__':
main() | 14.153846 | 34 | 0.652174 | import GPsim
import numpy as np
def f(x):
return np.sin(x)
def main():
bounds = [-3., 3]
test = GPsim.GPsim(batchsize=100)
test.run(f, bounds)
if __name__ == '__main__':
main() | 0 | 0 | 0 | 0 | 0 | 71 | 0 | -12 | 90 |
841cab8adc96dd1ce4b6ae0fa23e6619c24baa38 | 1,763 | py | Python | setup.py | Descanonge/filefinder | bb5bdeb49e871188edf26b53b081579c506320d9 | [
"MIT"
] | null | null | null | setup.py | Descanonge/filefinder | bb5bdeb49e871188edf26b53b081579c506320d9 | [
"MIT"
] | null | null | null | setup.py | Descanonge/filefinder | bb5bdeb49e871188edf26b53b081579c506320d9 | [
"MIT"
] | null | null | null |
from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
CLASSIFIERS = [
'Development Status :: 4 - Beta',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 3 :: Only',
'Programming... | 27.546875 | 69 | 0.646058 |
from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
def get_long_description(rel_path):
with open(path.join(here, rel_path)) as file:
return file.read()
def get_version(rel_path):
with open(path.join(here, rel_path)) as file:
lines = ... | 4 | 0 | 0 | 0 | 0 | 411 | 0 | 0 | 46 |
1511e1fb3f5ea5f80634449e323236c86bc8b256 | 364 | py | Python | test program in python 121.py | swarajRaut01/Python | 28c4a6d70c14244b65c9bd2c264b7488a82a75a5 | [
"MIT"
] | null | null | null | test program in python 121.py | swarajRaut01/Python | 28c4a6d70c14244b65c9bd2c264b7488a82a75a5 | [
"MIT"
] | null | null | null | test program in python 121.py | swarajRaut01/Python | 28c4a6d70c14244b65c9bd2c264b7488a82a75a5 | [
"MIT"
] | null | null | null | #addition a 2 number with a command line program
import sys
n=len(sys.argv)
print("total arguments passed:",n)
print("\nName of python script:",sys.argv[0])
print("\nArguments passed:" , end= "")
for i in range(1,n):
print(sys.argv[i], end = " ")
sum=0
for i in range(1,n):
sum+= int(sys.argv... | 17.333333 | 49 | 0.596154 | #addition a 2 number with a command line program
import sys
n=len(sys.argv)
print("total arguments passed:",n)
print("\nName of python script:",sys.argv[0])
print("\nArguments passed:" , end= "")
for i in range(1,n):
print(sys.argv[i], end = " ")
sum=0
for i in range(1,n):
sum+= int(sys.argv... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
acea4403a7b962643a9d05ccea6fbd5fa5eb052f | 2,486 | py | Python | program/qiskit-backends/hello_quantum.py | ctuning/qiskit | 33126f7c2e00331303727b712717ded6c7420e18 | [
"BSD-3-Clause"
] | 7 | 2018-05-05T09:47:54.000Z | 2019-04-04T10:00:38.000Z | program/qiskit-backends/hello_quantum.py | ctuning/qiskit | 33126f7c2e00331303727b712717ded6c7420e18 | [
"BSD-3-Clause"
] | 7 | 2018-03-13T15:38:12.000Z | 2018-12-21T15:15:20.000Z | program/qiskit-backends/hello_quantum.py | ctuning/qiskit | 33126f7c2e00331303727b712717ded6c7420e18 | [
"BSD-3-Clause"
] | 2 | 2018-10-05T11:58:06.000Z | 2020-01-19T21:10:17.000Z | """
Example used in the readme. In this example a Bell state is made
"""
import sys
import os
from pprint import pprint
# so we need a relative position from this file path.
# TODO: Relative imports for intra-package imports are highly discouraged.
# http://stackoverflow.com/a/7506006
sys.path.append(os.path.join(os.pa... | 36.558824 | 92 | 0.687852 | """
Example used in the readme. In this example a Bell state is made
"""
import sys
import os
from pprint import pprint
# so we need a relative position from this file path.
# TODO: Relative imports for intra-package imports are highly discouraged.
# http://stackoverflow.com/a/7506006
sys.path.append(os.path.join(os.pa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ff2a0bb7cf6152e476e531b93e75db8ab603b869 | 7,460 | py | Python | docs/conf.py | rizwandel/finetuner | 7fef9df6b5101d19a4fd710084d54b5be45dc5d5 | [
"Apache-2.0"
] | null | null | null | docs/conf.py | rizwandel/finetuner | 7fef9df6b5101d19a4fd710084d54b5be45dc5d5 | [
"Apache-2.0"
] | 1 | 2022-02-09T23:48:24.000Z | 2022-02-09T23:48:24.000Z | docs/conf.py | rizwandel/finetuner | 7fef9df6b5101d19a4fd710084d54b5be45dc5d5 | [
"Apache-2.0"
] | null | null | null | import os
import re
import sys
from os import path
sys.path.insert(0, path.abspath('..'))
project = 'Finetuner'
slug = re.sub(r'\W+', '-', project.lower())
author = 'Jina AI'
copyright = 'Jina AI Limited. All rights reserved.'
source_suffix = ['.rst', '.md']
master_doc = 'index'
language = 'en'
repo_dir = '../'
try:... | 29.721116 | 168 | 0.65067 | import os
import re
import sys
from os import path
sys.path.insert(0, path.abspath('..'))
project = 'Finetuner'
slug = re.sub(r'\W+', '-', project.lower())
author = 'Jina AI'
copyright = 'Jina AI Limited. All rights reserved.'
source_suffix = ['.rst', '.md']
master_doc = 'index'
language = 'en'
repo_dir = '../'
try:... | 0 | 0 | 0 | 0 | 0 | 1,346 | 0 | 0 | 69 |
14f86088720e6a5c263f1ab17dd6456e1ade36a8 | 141 | py | Python | python101/packeges-example/module2.py | moonslider/jenkins-test | c5a6b72339a108b7331a730bd60d45c38c786c07 | [
"MIT"
] | null | null | null | python101/packeges-example/module2.py | moonslider/jenkins-test | c5a6b72339a108b7331a730bd60d45c38c786c07 | [
"MIT"
] | null | null | null | python101/packeges-example/module2.py | moonslider/jenkins-test | c5a6b72339a108b7331a730bd60d45c38c786c07 | [
"MIT"
] | null | null | null | # module2.py
| 17.625 | 37 | 0.617021 | # module2.py
class class2:
def __init__(self):
self.description = 'class #2'
def show(self):
print self.description
| 0 | 0 | 0 | 105 | 0 | 0 | 0 | 0 | 23 |
2509c74436031da25b54613b744a1f14e1eaec88 | 938 | py | Python | src/spartan/utils/orthoDB.py | xguse/spartan | cb0cc345aaf66602752f57e48e93bb92d69e7dc5 | [
"MIT"
] | 1 | 2017-08-01T21:28:13.000Z | 2017-08-01T21:28:13.000Z | src/spartan/utils/orthoDB.py | xguse/spartan | cb0cc345aaf66602752f57e48e93bb92d69e7dc5 | [
"MIT"
] | null | null | null | src/spartan/utils/orthoDB.py | xguse/spartan | cb0cc345aaf66602752f57e48e93bb92d69e7dc5 | [
"MIT"
] | null | null | null | from collections import defaultdict
def get_uniprot2gene_map(dataframe):
"""
assumes: dataframe = dataframe.fillna('empty')
"""
my_columns = dataframe[['Gene','UniProt']]
u2g_map = defaultdict(set)
for row in my_columns.itertuples():
idx,gene,uniprot = row
u... | 21.318182 | 50 | 0.590618 | from collections import defaultdict
import pandas as pd
import networkx as nx
def get_uniprot2gene_map(dataframe):
"""
assumes: dataframe = dataframe.fillna('empty')
"""
my_columns = dataframe[['Gene','UniProt']]
u2g_map = defaultdict(set)
for row in my_columns.itertuples():
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 46 |
f0932d7c70d68fcad0879e97559e619a2993f2ee | 6,692 | py | Python | lino/history/luc201212.py | khchine5/lino | 64f7ca9c9b83459b5b9f26174e5e3c26a137459d | [
"BSD-2-Clause"
] | 1 | 2018-01-12T14:10:11.000Z | 2018-01-12T14:10:11.000Z | lino/history/luc201212.py | khchine5/lino | 64f7ca9c9b83459b5b9f26174e5e3c26a137459d | [
"BSD-2-Clause"
] | null | null | null | lino/history/luc201212.py | khchine5/lino | 64f7ca9c9b83459b5b9f26174e5e3c26a137459d | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: UTF-8 -*-
# Copyright 2012 Luc Saffre
# License: BSD (see file COPYING for details)
"""
No longer used.
"""
from __future__ import unicode_literals
if False:
from lino.history import blogger
#
DEMOS = blogger.ticket("lino.pr", "Demo Sites", """
""")
CMS = blogger.ticket("cms", "Li... | 33.628141 | 102 | 0.710849 | # -*- coding: UTF-8 -*-
# Copyright 2012 Luc Saffre
# License: BSD (see file COPYING for details)
"""
No longer used.
"""
from __future__ import unicode_literals
if False:
from lino.history import blogger
#
DEMOS = blogger.ticket("lino.pr", "Demo Sites", """
""")
CMS = blogger.ticket("cms", "Li... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
08884d50e0aaf0f58f9f757139772788b97ecf3c | 593 | py | Python | neural-network.py | remirobert/MNIST-machine-learning | 0bcd3e9d6e0da0da0cb2a96aa2d794f24f356762 | [
"MIT"
] | 7 | 2017-06-02T12:46:19.000Z | 2017-11-11T04:26:55.000Z | neural-network.py | remirobert/MNIST-machine-learning | 0bcd3e9d6e0da0da0cb2a96aa2d794f24f356762 | [
"MIT"
] | null | null | null | neural-network.py | remirobert/MNIST-machine-learning | 0bcd3e9d6e0da0da0cb2a96aa2d794f24f356762 | [
"MIT"
] | null | null | null |
train_evaluate_model() | 29.65 | 92 | 0.709949 | import pandas as pd
import numpy as np
from nolearn.dbn import DBN
import timeit
def train_data():
train = pd.read_csv("train.csv")
features = train.columns[1:]
X = train[features]
y = train['label']
return model_selection.train_test_split(X / 255., y, test_size=0.25, random_state=0)
def train_eva... | 0 | 0 | 0 | 0 | 0 | 443 | 0 | -7 | 134 |
f78d0da391d3602de39fa1a634bda412c85bf97d | 757 | py | Python | test/remove_stopwords_test.py | ritlinguine/linguine-python | 5dee96dea64523d673ae1efc88d50e9309f4dd5e | [
"MIT"
] | 1 | 2018-11-26T18:01:32.000Z | 2018-11-26T18:01:32.000Z | test/remove_stopwords_test.py | ritlinguine/linguine-python | 5dee96dea64523d673ae1efc88d50e9309f4dd5e | [
"MIT"
] | null | null | null | test/remove_stopwords_test.py | ritlinguine/linguine-python | 5dee96dea64523d673ae1efc88d50e9309f4dd5e | [
"MIT"
] | 1 | 2018-11-26T18:01:33.000Z | 2018-11-26T18:01:33.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 30.28 | 84 | 0.708058 | import unittest
from linguine.corpus import Corpus
from linguine.ops.remove_stopwords import RemoveStopwords
from linguine.ops.word_tokenize import WordTokenizeWhitespacePunct
class RemoveStopwordsTest(unittest.TestCase):
def setUp(self):
self.op = RemoveStopwords()
def test_run(self):
test... | 0 | 0 | 0 | 507 | 0 | 0 | 0 | 94 | 90 |
069c80c0775fc216354afa7d694a9da45a72a0e2 | 4,151 | py | Python | serialization/student_pb2.py | ashishb/benchmarking | 91903e9f144961b0e829039abc3bb4a17d93b249 | [
"Apache-2.0"
] | 1 | 2021-01-03T04:45:01.000Z | 2021-01-03T04:45:01.000Z | serialization/student_pb2.py | ashishb/benchmarking | 91903e9f144961b0e829039abc3bb4a17d93b249 | [
"Apache-2.0"
] | null | null | null | serialization/student_pb2.py | ashishb/benchmarking | 91903e9f144961b0e829039abc3bb4a17d93b249 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
from google.protobuf import descriptor
# @@protoc_insertion_point(imports)
DESCRIPTOR = descriptor.FileDescriptor(
name='student.proto',
package='',
serialized_pb='\n\rstudent.proto\"h\n\x07Student\x12\n\n\x02id\x18\x01 \x02(\x05\x12\x12\n\nfirst_name... | 32.944444 | 344 | 0.718622 | # Generated by the protocol buffer compiler. DO NOT EDIT!
from google.protobuf import descriptor
from google.protobuf import message
from google.protobuf import reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = descriptor.FileDescriptor(
name='student.proto',
... | 0 | 0 | 0 | 287 | 0 | 0 | 0 | 52 | 112 |
2d7d5810906f4a035e10ea49397eb1d94a57ff27 | 322 | py | Python | nzbhydra/datestuff.py | Sparklingx/nzbhydra | e2433e1155255ba37341cc79750b104e7dd8889a | [
"Apache-2.0"
] | 674 | 2015-11-06T04:22:47.000Z | 2022-02-26T17:31:43.000Z | nzbhydra/datestuff.py | Sparklingx/nzbhydra | e2433e1155255ba37341cc79750b104e7dd8889a | [
"Apache-2.0"
] | 713 | 2015-11-06T10:48:58.000Z | 2018-11-27T16:32:18.000Z | nzbhydra/datestuff.py | Sparklingx/nzbhydra | e2433e1155255ba37341cc79750b104e7dd8889a | [
"Apache-2.0"
] | 106 | 2015-12-07T11:21:06.000Z | 2022-03-11T10:58:41.000Z | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
#standard_library.install_aliases()
#can be mocked
| 24.769231 | 39 | 0.838509 | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
#standard_library.install_aliases()
from builtins import *
#can be mocked
import datetime
def now():
return datetime.datetime.now... | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 9 | 89 |
23fd9a0c30fcb1a61d9713013406935a7db39fe1 | 8,237 | py | Python | src/google/appengine/api/app_identity/app_identity_stub_base.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 28 | 2021-01-06T19:55:21.000Z | 2022-03-28T09:41:08.000Z | src/google/appengine/api/app_identity/app_identity_stub_base.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 13 | 2021-06-17T09:38:17.000Z | 2022-03-11T01:12:33.000Z | src/google/appengine/api/app_identity/app_identity_stub_base.py | asriniva/appengine-python-standard | 8a5abedfe99b27a4dcb31fd47d3ba7b62fd0e47c | [
"Apache-2.0"
] | 28 | 2021-03-09T19:27:37.000Z | 2022-01-21T21:18:52.000Z | #!/usr/bin/env python
#
# Copyright 2007 Google LLC
#
# 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-2.0
#
# Unless required by applicable law or... | 41.39196 | 621 | 0.816195 | #!/usr/bin/env python
#
# Copyright 2007 Google LLC
#
# 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-2.0
#
# Unless required by applicable law or... | 0 | 221 | 0 | 4,003 | 0 | 0 | 0 | -6 | 114 |
bef4d39a7ed0f163b0f73b97cc8940c6bd1ceff9 | 9,077 | py | Python | windows/juggler/pyhook/hookit.py | same-moon/smutils | 4277ab1d118e89503a0253f8c7e3fa2858033286 | [
"MIT"
] | null | null | null | windows/juggler/pyhook/hookit.py | same-moon/smutils | 4277ab1d118e89503a0253f8c7e3fa2858033286 | [
"MIT"
] | null | null | null | windows/juggler/pyhook/hookit.py | same-moon/smutils | 4277ab1d118e89503a0253f8c7e3fa2858033286 | [
"MIT"
] | null | null | null | import os, collections, Queue
import win32com.client
"""
MessageName: key down
Message: 256
Time: 112416317
Window: 197094
WindowName: Emacs/Python <ruttbe@LAGER> hookit.py
Ascii: 120 x
Key: X
KeyID: 88
ScanCode: 45
Extended: 0
Injected: 0
Alt 0
Transition 0
"""
# Globals
last_window = None
bufs = { 'Emacs': { 'acti... | 31.085616 | 123 | 0.548419 | import os, collections, threading, Queue, time
import win32api
import win32com.client
import pythoncom, pyHook
"""
MessageName: key down
Message: 256
Time: 112416317
Window: 197094
WindowName: Emacs/Python <ruttbe@LAGER> hookit.py
Ascii: 120 x
Key: X
KeyID: 88
ScanCode: 45
Extended: 0
Injected: 0
Alt 0
Transition 0
"... | 0 | 0 | 0 | 654 | 0 | 6,592 | 0 | 14 | 342 |