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values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 213
values | src_encoding stringclasses 30
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 2 10.3M | extension stringclasses 246
values | content stringlengths 2 10.3M | authors listlengths 1 1 | author_id stringlengths 0 212 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45b6569b1aa2ab1993894fd21d96ac72bd8ae4e6 | 7060e97de0a303508004bf07daecbdf104668758 | /blogappreview/settings.py | 02d01dbcabfcef603854ad616386e4c677b72fd8 | [] | no_license | adamgrossman/legacy-blog-app | 9963d0ee0e61c84d980c20e64380c2a6cbcb772d | 3671d1d16de2899a10284e02d77d71323206e2e2 | refs/heads/master | 2021-01-21T05:01:27.428179 | 2014-09-23T21:49:17 | 2014-09-23T21:49:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,130 | py | """
Django settings for blogappreview project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, .... | [
"adam.grossman08@me.com"
] | adam.grossman08@me.com |
4e8e2af6420a58bf95043e9fce852658ac6f319e | 4c453d73abb05f151e3a7f2220920c42b9b8dfdd | /a_star.py | 1cbff4e0b873412c11d42cea5e5d7f06936291eb | [
"MIT"
] | permissive | MlHsieh/Pathfinding | ef632426106076a69e181ed60636129ce458456b | 3f1818595b54f6805fbba528d7a72ed87995f08a | refs/heads/master | 2021-01-13T22:56:27.039031 | 2020-02-23T14:16:26 | 2020-02-23T14:16:26 | 242,520,842 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,993 | py | ""
A* path finding with pygamezero
Find the shortest path from top-left corner to bottom-right corner.
Obstacles are generated randomly each time.
Author: ML Hsieh
2020-2-23
"""
# pylint: disable=missing-module-docstring, invalid-name, missing-function-docstring
import random
import math
import typing
im... | [
"noreply@github.com"
] | MlHsieh.noreply@github.com |
77702e3b0454d2ed113e6af1b53fc1a48a813af7 | 1bc287996993413650476d2ec7b096dc959b5903 | /venv/Lib/site-packages/apiclient/model.py | 4ad88a88803cb5381871d8b373b14e153aa984a5 | [] | no_license | jorgejmt94/TFG | 6ea6bce7cf6ae53200f3d3e42e0f1f04c2557fae | 2e7d8eaf512d47049181909b20743683712902c2 | refs/heads/master | 2022-12-28T18:53:03.810829 | 2020-10-08T16:32:26 | 2020-10-08T16:32:26 | 143,515,791 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,809 | py | #!/usr/bin/python2.4
#
# Copyright (C) 2010 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 l... | [
"jorge@MacBook-Pro-de-Jorge.local"
] | jorge@MacBook-Pro-de-Jorge.local |
4999ade213d9555e0697b7004de81a99a9d815b3 | ec7c1e8b6fd1c397d072a05702221ba198a12f3b | /mysite/laser/migrations/0005_auto_20170418_1524.py | 053ca170596cc2635b405118c995c4f72d40f5e7 | [] | no_license | profanat/laser | 3c4d197d012c178be1ed1b2ad780b65ad68288c2 | 5b207f60caf7dd4610c2fb3dd25d399463d3a808 | refs/heads/master | 2021-01-19T23:44:14.995911 | 2017-04-30T10:46:10 | 2017-04-30T10:46:10 | 89,022,705 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,314 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-18 13:24
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('laser', '0004_item_image'),
]
operations = [
... | [
"profanat@mail.ru"
] | profanat@mail.ru |
07e17c5553d0087fa7eb1cd218f0ce579fa6d45b | 89b297e3ffb43ecbb508fd01cf28b89817cd869b | /c103.py | 7f447ef1daf34e463dbd3c56b79fe26cdc43df21 | [] | no_license | DhyeyPatel779/C103 | 0eeff9a104243272c75eba06d959eea8e608c22a | d4afa720ada23121a9fcfb1ca0c023ac9cb72590 | refs/heads/main | 2023-08-24T23:36:39.754111 | 2021-10-14T07:43:26 | 2021-10-14T07:43:26 | 417,035,714 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 193 | py | import pandas as pd
import plotly.express as px
df = pd.read_csv('line_chart.csv')
fig = px.line(df,x="Year", y="Per capita income", color="Country", title="Per Capita Income")
fig.show() | [
"noreply@github.com"
] | DhyeyPatel779.noreply@github.com |
5051561594eab17e7933f5df6df726631b2282fd | 9f9031218c411443a4bb9ada6e5af333cf4fa083 | /azuresearch/indexes/scoring_profile.py | 8ec8b0698fe9d0d111206c542f8cfeeb63c9c5b1 | [] | no_license | aloosley/python-azure-search | ba51c19b2387ea35706ea9a6e7eca8227cf3402f | ce605528a2bbcdc7a3f08fca1e5c39129ab726d9 | refs/heads/master | 2020-05-01T19:21:13.115786 | 2019-01-13T13:06:33 | 2019-01-13T13:06:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,780 | py | import json
import warnings
from azuresearch.azure_search_object import AzureSearchObject
class ScoringProfile(AzureSearchObject):
'''
A scoring profile for an index. See this link for more information:
taken from https://docs.microsoft.com/en-us/rest/api/searchservice/add-scoring-profiles-to-a-search-in... | [
"omri.mendels@microsoft.com"
] | omri.mendels@microsoft.com |
93103d6e41113db9ca4a00e8b344e771a27edaac | 6fb95c1523ecd84a47cf351fd8c84d20c697d5c7 | /hash.py | ab811578718de98ac6d5c60bfb5d8d2f77bf9771 | [] | no_license | Shiva454527/hash | 5da4c3dbb9587561fe4e1cccc27d1fd1cec627d2 | 936e65946b6088eb13beca58041e41be3a711ab7 | refs/heads/main | 2023-03-15T00:21:17.514193 | 2021-03-08T07:48:25 | 2021-03-08T07:48:25 | 345,556,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,174 | py |
import hashlib
print("")
print(" ---------------Hash convert-------------v1.0")
print("")
print("")
print("<============================================>")
print(" Created by shiva")
print("<============================================>")
print("")
print("")
print("Available Options:\n1.MD5\n2.SHA512\n3.S... | [
"noreply@github.com"
] | Shiva454527.noreply@github.com |
72a91011ab0adb33cd3a50f2659fe2abe2c936f8 | 16d26279f2b1e995352529bf8bc54d08d4b3c7a4 | /Shut down.py | 08fd9657b1242cb47d23226e01f2d69c5bbf305c | [] | no_license | surajmishra57/Shut-down | 7e0583c8c5d993c6e475d00c6ecc374930922a04 | a9c6214369628ee76c8293589f00b326b870d4af | refs/heads/master | 2020-06-08T08:15:45.830846 | 2019-06-22T05:21:29 | 2019-06-22T05:21:29 | 193,194,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,046 | py | from tkinter import *
from tkinter.ttk import Combobox
import os
from tkinter import messagebox
from tkinter.font import Font
def Cancel():
root.destroy()
def Clear():
combo.set("Select")
hour.set('H')
Hour.set('H')
mint.set('M')
Mint.set('M')
sec.set('S')
Sec.set('S')
... | [
"noreply@github.com"
] | surajmishra57.noreply@github.com |
916739e2b47fd6b0bdc3b3d4a294774d7c172611 | 9f7631c2d987a33a9b7f2c2da38bf9369eac92bd | /test_segmentor.py | 2c96cbdc374287eac5fa659ce15d39692caa3742 | [
"MIT"
] | permissive | Leo-xxx/kissing-detector | 2a605837991bfc8c1dafcf38fb2cd758271592c2 | df44f229c4f5160a792c4a6dc6d98d6817910df0 | refs/heads/master | 2020-06-02T18:56:18.249555 | 2019-06-12T12:57:00 | 2019-06-12T12:57:00 | 191,274,160 | 0 | 0 | null | 2019-06-11T01:52:17 | 2019-06-11T01:52:16 | null | UTF-8 | Python | false | false | 641 | py | import unittest
from segmentor import Segmentor
class TestSegmentor(unittest.TestCase):
def test_segmentor(self):
tests = [
([1, 1, 0, 1, 0, 0, 1, 0, 1], [[0, 1, 2, 3]]),
([1, 1, 0, 1, 1, 0, 1, 0, 1], [[0, 1, 2, 3, 4, 5, 6]]),
([1, 1, 0, 1, 1, 0, 1, 1, 1], [list(range(... | [
"arziai@gmail.com"
] | arziai@gmail.com |
6ddebb5147754b838b6cdfe50c7b3136c205898e | bd47e29dd98a30da16fab7541e2fa486779571c9 | /AIAssignment/PA1_MT18099_Kshitij_Srivastava/Question 2/printGrid.py | fa3f0d133e2fb2ad5147cb659cbb4878fd6c1c29 | [] | no_license | kshitijsriv/Artificial-Intelligence-Fall-2018 | 35a96381c7a109164de5b861a5ef81400abb34b3 | f14656a40e830eaf59122082162fe887eba3e8a9 | refs/heads/master | 2023-05-03T07:07:20.164863 | 2021-05-18T20:22:00 | 2021-05-18T20:22:00 | 368,656,677 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | def prnt(grid, n):
for i in list(range(n)):
for j in list(range(n)):
print(grid[(i * n) + j], end=' ')
print() | [
"kshitij18099@iiitd.ac.in"
] | kshitij18099@iiitd.ac.in |
7004e91d73dfb7ae5323ceb1a1e9816b5ac70c53 | 1ea1ffa610838c6161f5dcaab6fbfe6341aaa902 | /BB_MesoWest/MesoWest_STNinfo.py | 16182f7f04f86a093c3954ad74e64f3709fbe9c6 | [] | no_license | johnhorel/pyBKB_v2 | 7611e1562e130abad911f02dc9d6b34966a6eaa3 | 6e04bea50666dfc34ec4b6035729bd2d4c807b12 | refs/heads/master | 2020-12-30T15:09:34.573208 | 2017-05-12T18:02:01 | 2017-05-12T18:02:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,322 | py | # Brian Blaylock
# Version 2.0 update
# 8 November 2016 (Trump vs. Clinton Presidential Election)
"""
Get basic metadata for a list of station IDs
"""
import json
import urllib2
from get_token import my_token # returns my personal token
import numpy as np
# Get your own key and token from here: ... | [
"blaylockbk@gmail.com"
] | blaylockbk@gmail.com |
b9aaef4ba11145f2ffbea561b6705b86c14b215a | 13cd6c2d28c3df0daa0a90f856275197410973f4 | /balance.py | 33e763e2abe4aa551ef4e8f2be4400e56211b26c | [] | no_license | ccnsd/balance | 095501048cec3b50cdc9901ec92052b87ef024e3 | 52ae8cd33698c3db1abcf802692be6254b05987c | refs/heads/master | 2020-04-05T10:37:32.988955 | 2018-12-09T08:12:01 | 2018-12-09T08:12:01 | 156,804,928 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,137 | py | import numpy as np
import networkx as nx
import random
class TriangularBalance:
def __init__(self, size, initialRatio, AgeExponent, noiseType):
# Size of the networ
self.Size = size
# Caclulate the number of triangles connected to one link
self.TrianglesOnLink = self.LinkTriangles(... | [
"mhoseinhs@gmail.com"
] | mhoseinhs@gmail.com |
ba5cdbf4af013697934cd32d9a81f63202ca1ec1 | 9bade1e19d1fe61324e1b0d0d0b2fb650b618b70 | /ch2/tasks_proj/tests/unit/test_task.py | b003f7eeda9e2f47e9d8065d06ab459a9aac6a8a | [] | no_license | Vermee81/practicePytest | 6d998064c7892495cb11630cd70ecdeafc7ced04 | df85e800f3d57f98017c6ab2bf7c176d605469e7 | refs/heads/master | 2021-06-16T05:26:10.885007 | 2019-06-11T12:59:02 | 2019-06-11T12:59:02 | 191,372,066 | 0 | 0 | null | 2021-04-20T18:19:24 | 2019-06-11T12:58:14 | Python | UTF-8 | Python | false | false | 996 | py | from tasks import Task
def test_asdict():
"""_asdict() should return a dictionary."""
t_task = Task('do something', 'Okken', True, 21)
t_dict = t_task._asdict()
expected = {'summary': 'do something',
'owner': 'Okken',
'done': True,
'id': 21}
assert t... | [
"hrksb5029@gmail.com"
] | hrksb5029@gmail.com |
9673ba1b310997112ef86dc58e7a09bede97e40e | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /oQ99uE4iPNbEnf9QZ_8.py | 98e927384c07bf13e06fc0c934083fe3ce3dac4c | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 872 | py | """
Given a known number of unique items, how many ways could we arrange them in a
row?
Create a function that takes an integer `n` and returns the number of digits
of the number of possible permutations for `n` unique items. For instance, 5
unique items could be arranged in 120 unique ways. 120 has 3 digits, hence... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
0a3fc9f2dc890b6e2efaa610973cc13c5a947a43 | b5ae0120287b7b6dcd26e65f4292ba81a29f1a1f | /basicwebapp/wsgi.py | fdafd5ef5f6f01a30de1dadab33001f70dbf31ce | [] | no_license | rnvarma/basicwebapp | d96a074a3afa6d95d35b04e06c627416db8aa36c | 1f52c7d377e1e36acd6a75846a2d77a8a8252e13 | refs/heads/master | 2021-01-10T05:17:01.842320 | 2015-11-09T22:51:14 | 2015-11-09T22:51:14 | 45,871,545 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | """
WSGI config for basicwebapp project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_S... | [
"rohan@prompthire.com"
] | rohan@prompthire.com |
501738ec710801e81d9ab4e1f7ef15ccbeea5e65 | 12e04c219d6911d06a048c913f8d8d6c00dad857 | /chendian/member/forms.py | d494a75608722225651d47661ad908497bd17ee9 | [
"MIT"
] | permissive | mozillazg/chendian-plus | 928e98beb77f351e08b25a5ba9671ad648dac4b5 | 893c62b4b855879006d4cb378faeb9d1c6635923 | refs/heads/master | 2023-09-04T09:58:58.112022 | 2017-04-04T09:44:28 | 2017-04-04T09:44:28 | 31,481,576 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 434 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, unicode_literals
from django import forms
from django.contrib.auth.forms import AuthenticationForm
class LoginForm(AuthenticationForm):
error_messages = {
'invalid_login': '用户名或密码错误！',
'no_cookies... | [
"opensource.mozillazg@gmail.com"
] | opensource.mozillazg@gmail.com |
ebea53bffcd6e69af4d785a1455f144ba9b50975 | e9aeb4d00fe6758a51d9982c3e1af1e456a9e244 | /funcion.py | 119144c450d8e1880a6bc8dbbd98c49b30da90ad | [] | no_license | PacoBocanegra/myproject | ae365ca3aaa37699355eed1bd5ae950a241e74d0 | 976a70987c87003ba36ecec11894e37d4725c8ac | refs/heads/master | 2020-04-07T03:14:20.866838 | 2019-04-10T10:28:02 | 2019-04-10T10:28:02 | 158,008,209 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | def contador(unaLista):
unDict = {}
for valores in unaLista:
if valores not in unDict.keys():
unDict[valores] = 1
else:
unDict[valores] += 1
return unDict
| [
"noreply@github.com"
] | PacoBocanegra.noreply@github.com |
496ed58b9cc4cf8030a102eaf9e3214dbf825d58 | b7395bf3c8e209a8b2f0ace1b7e763ed76cd0b25 | /HSE/smith_waterman/smith_waterman.py | f06680fd29cdc7f0c54c197dcf0544a0042c410d | [] | no_license | antosiv/study_progs | 9f7ceb28f33211211bfe43f9af21cf68e745e338 | 9ec3fb4313f28b662635c8693e0f435d6b75187b | refs/heads/master | 2022-12-08T18:04:56.410185 | 2021-07-27T13:31:57 | 2021-07-27T14:31:04 | 133,510,616 | 0 | 0 | null | 2022-11-23T22:27:38 | 2018-05-15T12:07:34 | Jupyter Notebook | UTF-8 | Python | false | false | 7,166 | py | import numpy as np
import argparse
import os
class Node:
def __init__(self, value):
self.diag = None
self.up = None
self.left = None
self.value = value
def build_alignment_tree(seq1, seq2, similar_score=1, gap_penalty=1, mismatch_penalty=1):
assert isinstance(seq1, str) and i... | [
"anton6722@gmail.com"
] | anton6722@gmail.com |
794e7f2d349b256ab00c025b5646697ca1a79a20 | bc2aaafbd154c3b116b393881213747979238c9f | /coding_challenge.py | 6cd92649b448fadd45100c18b31383326f11e935 | [] | no_license | victor-gesit/udemy-python-bootcamp | 787570f9f243809dddfbf490438d8422cd4c01a3 | 4c47dcdf35c6c69b3f7c647f9a50676d9a2c7401 | refs/heads/master | 2020-03-26T14:53:50.765381 | 2018-08-16T16:04:52 | 2018-08-16T16:04:52 | 145,010,652 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 645 | py | import re
def adds_to_ten(a_string):
for number in range(0, len(a_string)):
letter = a_string[number]
try:
number = int(letter)
except:
print(a_string[number:number+3:1], number, a_string[number-1], letter*3)
print(a_string[number:number+3:1] == letter*3 and a_string[number+4] != lette... | [
"victoridongesit@gmail.com"
] | victoridongesit@gmail.com |
c1cbaa23a1aaaec6e5a3843f37f57011a4402b8d | 7213ae1a7a1677d17d11cdc2827221ee8ced4f9c | /Baek_jun/2292.py | b67d534f18b44bf42ff155713c5c97013813a389 | [] | no_license | eat-toast/Algorithm | c532fbdc9e8faa2205dd0a7ab333a8c98f7c16e2 | f82c6fdc763c434ca2cc3bf86ee8378503d019f1 | refs/heads/master | 2021-10-24T23:52:38.482506 | 2019-03-30T08:28:07 | 2019-03-30T08:28:07 | 112,037,874 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 280 | py | N = int( input() )
step = 1
old_num = 1
if N == 1:
print(1)
else:
while(1):
max_num = 6*step + old_num
if old_num < N <= max_num:
print(step+1)
break
else:
step += 1
old_num = max_num | [
"noreply@github.com"
] | eat-toast.noreply@github.com |
d078d98ab762bb1d1a429ab405b5e969885c2172 | 8bcf7c1ed213d5a296d592a420b3d678f01ff716 | /stack_and_queue/ANARC09A.py | b6aaf653865fde7ac201ca8d253c099faf4230a2 | [] | no_license | cskanani/codechef_prepare | 237b65455c2294c4a96d72cfa4cdecb8734b48ee | 36075328b0f52dc6237a96a4094358128327dc0b | refs/heads/master | 2020-12-03T14:11:04.963970 | 2020-03-05T17:29:23 | 2020-03-05T17:29:23 | 231,349,403 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 623 | py | parantheses_string = input().strip()
ans_number = 0
while '-' not in parantheses_string:
ans_number += 1
operations_required = 0
bracket_count = 0 # to simmulate stack
for i in range(len(parantheses_string)):
if parantheses_string[i] == '{':
bracket_count += 1
elif bracket_co... | [
"kananichandresh@gmail.com"
] | kananichandresh@gmail.com |
6a463bc00a35e2a6151c42ca825513e6973d82ad | b653971414c2c8b144d2fcb63b214cd82523c4d0 | /hdf5_getters.py | e92d561ca0873048680c1d52a02c820673422174 | [
"MIT"
] | permissive | shirleycohen/MillionSong | b37a35a51fa997a8a118581605376f9dc389c72d | d5a31fe6bd32999555efc47226093f6bc7e09199 | refs/heads/master | 2021-01-18T04:12:53.666761 | 2017-03-23T19:49:07 | 2017-03-23T19:49:07 | 85,751,728 | 0 | 0 | null | 2017-03-21T20:47:51 | 2017-03-21T20:47:51 | null | UTF-8 | Python | false | false | 22,184 | py | """
Thierry Bertin-Mahieux (2010) Columbia University
tb2332@columbia.edu
This code contains a set of getters functions to access the fields
from an HDF5 song file (regular file with one song or
aggregate / summary file with many songs)
This is part of the Million Song Dataset project from
LabROSA (Columbi... | [
"jeff.kibler@infobright.com"
] | jeff.kibler@infobright.com |
cdf4fc4eac8ac721c4cb6dccc000e71414fb2392 | d659810b24ebc6ae29a4d7fbb3b82294c860633a | /aliyun-python-sdk-edas/aliyunsdkedas/request/v20170801/GetServiceDetailRequest.py | 0274809385003cccbff6ca1a9c5f43b64d78a821 | [
"Apache-2.0"
] | permissive | leafcoder/aliyun-openapi-python-sdk | 3dd874e620715173b6ccf7c34646d5cb8268da45 | 26b441ab37a5cda804de475fd5284bab699443f1 | refs/heads/master | 2023-07-31T23:22:35.642837 | 2021-09-17T07:49:51 | 2021-09-17T07:49:51 | 407,727,896 | 0 | 0 | NOASSERTION | 2021-09-18T01:56:10 | 2021-09-18T01:56:09 | null | UTF-8 | Python | false | false | 3,259 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"sdk-team@alibabacloud.com"
] | sdk-team@alibabacloud.com |
d97a89429ebe411ef2de2f263cc53f3eb6aa6988 | 5dec96a4833bea52d5105a77f45022f2c3c3157a | /QUICK_START/NODE_DEEPLABV3SEG_CUSTER/src/script/squeezeseg/nets/utils/__init__.py | 2aee7f84a672a2e05885f81f414f00fb090af095 | [
"BSD-3-Clause",
"MIT"
] | permissive | jtpils/DINK | ebb3259d0fb8da0db46f670659bbb98c5b34c317 | 5f6b3eaba279126f79ae6607f965311002d7451c | refs/heads/master | 2020-04-28T23:47:42.726499 | 2019-03-14T15:10:32 | 2019-03-14T15:10:32 | 175,669,731 | 1 | 0 | BSD-3-Clause | 2019-03-14T17:32:06 | 2019-03-14T17:32:06 | null | UTF-8 | Python | false | false | 1,661 | py | # BSD 3-Clause License
#
# Copyright (c) 2019, FPAI
# Copyright (c) 2019, SeriouslyHAO
# Copyright (c) 2019, xcj2019
# Copyright (c) 2019, Leonfirst
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are... | [
"2281504330@qq.com"
] | 2281504330@qq.com |
ad19fd452e4db1b70a3909df02d3983f5143594a | 8fab832545c32c4c9bbdd9d2656b0e7999e1ba95 | /python/inky/phat/calendar-phat.py.save | 1d2108a89fe905198d278a00531fd1bf55bd768c | [] | no_license | krishnamarwaha/Raspberry-PI | 1d96c5f5a9279f8210f566509d1d352f47dc775a | cc429335ef3fa6fb87b6f7ab0453283887ac9a04 | refs/heads/master | 2021-07-09T19:24:37.589325 | 2020-12-20T19:06:18 | 2020-12-20T19:06:18 | 221,528,517 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,723 | save | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
import calendar
import argparse
from PIL import Image, ImageDraw
from inky import InkyWHAT
print("""Inky pHAT: Calendar
Draws a calendar for the current month to your Inky pHAT.
This example uses a sprite sheet of numbers and month names which are
compo... | [
"krishna.marwaha@outlook.com"
] | krishna.marwaha@outlook.com |
f28de4409a49b4958ed94421be319b08d13fc589 | bd14c979335112b7718b0feda18ebf0e3b40fe5c | /first_trial/c_travelling.py | 7702d96dadc01c04581f9ca99310328b19e3c015 | [] | no_license | ababa831/atcoder_beginners | 22c57b15333d110126d1b1afadc0ff5e8784fc4f | 1a30882ce7f20f312045d5dc7bfaa5688cc8a88e | refs/heads/master | 2023-03-07T15:47:19.750682 | 2020-03-04T19:53:45 | 2020-03-04T19:53:45 | 143,360,607 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,370 | py | # I coudn't reach an answer at first.
# Keypoints:
# Look for conditions which constrain search range!
# 1. There are no paths for t_i < x_i + y_i (e.g. t=4, x=100, y=100)
# 2. There are no paths for t_i % 2 != (x_i + y_i) % 2 (e.g. t=4, x=1, y=0)
# Because you can only reach the point by either odd or even trials (... | [
"flvonlineconverter@gmail.com"
] | flvonlineconverter@gmail.com |
b1f306e2edac18026c53ab1ebe97885c109fcb53 | 1480955b11c30691f56865bf827b7f89168da523 | /book/knapsack.py | ecd31fecf868cda6dc21e99bfb6837b1663c9477 | [] | no_license | zoo200/atcoder | f604bff3301dfd7fd0fba916fc71f9d11eeb3871 | db9f15e5294ff034e25358d53cc2266bc95686e9 | refs/heads/master | 2020-11-25T19:31:42.312537 | 2020-07-25T15:38:31 | 2020-07-25T15:38:31 | 228,813,286 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,417 | py | from collections import defaultdict
n,w = map(int,input().split())
items = defaultdict(dict)
c = [[0] * (w +1) for _ in range(n+1) ]
g = [[0] * (w +1) for _ in range(n+1) ]
for i in range(1,n+1):
a,b = map(int,input().split())
items[i]['v'] = a
items[i]['w'] = b
for i in range(w+1):
c[0][i] = 0
g... | [
"noreply@github.com"
] | zoo200.noreply@github.com |
aa3908605e7f5276c6faa8a19ddda181df2fe430 | 18a185cc757d9aa3d690f174ca0841e1d90157b3 | /scripts/lib/calculate_reference_plot_llhs.py | 931bb3231c6b987e9c3f2e128770397eb4330b2b | [
"MIT"
] | permissive | fiedl/hole-ice-study | b2e213747af914fedadd76cb94e7042389183f41 | 9811a29c65fb22e314efd65e0309c83772928d7f | refs/heads/master | 2023-04-13T21:05:06.897901 | 2022-09-13T12:08:14 | 2022-09-13T12:08:14 | 118,835,798 | 6 | 2 | NOASSERTION | 2023-03-16T23:10:07 | 2018-01-24T23:35:15 | null | UTF-8 | Python | false | false | 747 | py | #!/usr/bin/env python
# Calculate log likelihood (LLH) for reference angular acceptance curve vs. simulation.
# https://github.com/fiedl/hole-ice-study/issues/12
# Usage: ./calculate_reference_plot_llhs.py ~/hole-ice-study/results/parameter_scan
# This will calculate the LLH for each run within the given data direct... | [
"github@fiedlschuster.de"
] | github@fiedlschuster.de |
19e07b20e6e2919522eb238a49df393a79596a9c | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02936/s644824648.py | 1cee97e5f35d7e758af2c7ed362e708613fbb89b | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 540 | py | import sys
sys.setrecursionlimit(10 ** 6)
def input():
return sys.stdin.readline()[:-1]
def dfs(v,prev = -1):
for u in graph[v]:
if u == prev:
continue
point[u] += point[v]
dfs(u,v)
N, Q = list(map(int,input().split()))
graph = [[] for _ in range(N)]
point = [0]*N
for i in... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
4f6e2604717222728344a10eea3c90f2e8dd5604 | 797bd52c384b9ce5fcac4add937982fec266af8f | /object_classification.py | 238e75428e545141b2e559af68279e18204afbbc | [] | no_license | anki08/staff | 11b9e8c45c65c2de76e4a2406b4c7c9f26ba1797 | d2ca5c8bea1f3e1e82ce3a7f408d06c9d469d200 | refs/heads/main | 2023-03-24T14:40:08.019544 | 2021-03-10T16:48:10 | 2021-03-10T16:48:10 | 346,416,818 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 657 | py | import torch
import torchvision
from PIL import Image
import json
class_idx = json.load(open("imagenet_class_index.json"))
I = Image.open('dog.jpg')
print(I)
model = torchvision.models.resnext101_32x8d(pretrained=True, progress=False)
transform = torchvision.transforms.Compose([
torchvision.transforms.Scale(224),
... | [
"noreply@github.com"
] | anki08.noreply@github.com |
68faa4a34463e8c87df6fa1a967b58e7fc27082b | 0472e717b8b2739a1eee20d49026f87031f1f72d | /v2/model/source.py | ddff5219b2f39d781469a0e5555dc673543fdab5 | [] | no_license | nightarcherbr/uplayer | f11dd47c1da7655005c3051df7be706e75a6feca | 3d67275676111a0fdf0b4874129c6ba824022f4f | refs/heads/master | 2021-01-12T17:08:38.407182 | 2016-10-24T10:47:36 | 2016-10-24T10:47:36 | 71,516,128 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,635 | py | import model;
class BaseSource():
def load(self):
raise model.ModelException('Not implemented');
class FileSource(BaseSource):
"""
Faz a leitura do JSON em um arquivo
"""
def __init__( self, source, parameters = None ):
self.source = source;
self.parameters = parameters;... | [
"fabio@docker"
] | fabio@docker |
8934f8bae88b16771f2a9c6978607699ce1d5c3d | b500119f19bf221b6cffdedf4d74e0ddebeff503 | /dropdown2.py | a706333e18160d55ed4e47b45bb7fa2394b3b2e1 | [] | no_license | Threesies/ELO | 07bd58f3d3e0fdea76c3799e0ed17fc42c08ba28 | 32664b503e257fca5ef68ee2e2a9239fbb8d683b | refs/heads/master | 2020-03-30T06:31:39.259992 | 2018-10-20T16:30:37 | 2018-10-20T16:30:37 | 150,867,750 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,557 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 11 15:17:27 2018
@author: acelentano
"""
import tkinter as tk
from tkinter import *
import tkinter.messagebox
import pandas as pd
import numpy as np
import os
from time import gmtime, strftime
root = tk.Tk()
text = tk.Text(root)
title = "RTB"
root.... | [
"celentano_ali@bah.com"
] | celentano_ali@bah.com |
9c279d65479f9af05c8270845fd5db4027c1e978 | 4057adee68fdd294896893ba904d2d7dc89eec2c | /setup.py | 9a9781b69a7e8c3668b0e698abdd6635be7b0efe | [] | no_license | kindlychung/PopupBubble | 9819b24c1b4683fb7d0d338de4cb9d6ad6bd8908 | 45943d70f1113c2e5988380561ec33a966cfa9db | refs/heads/master | 2020-05-21T11:34:53.300144 | 2014-11-12T18:31:13 | 2014-11-12T18:31:13 | 26,549,443 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 581 | py | from distutils.core import setup
import platform, os
sysname = platform.system()
if sysname == "Windows":
binpath = os.getenv("SystemRoot")
else:
binpath = r"/usr/local/bin"
setup(
name = "PopupBubble",
packages = ["PopupBubble"],
version = "0.0.4",
data_files = [(binpath, ["scripts/pop_bubble... | [
"kindlychung@gmail.com"
] | kindlychung@gmail.com |
9ac436c999320a0d5baf824db317806e7afeac41 | 530d8af2100c88690e09731fb950a02f33e6e4e0 | /blog/migrations/0003_auto_20180818_2054.py | e4f33d23ea905284782c215ad82a717e511a6100 | [] | no_license | gkLeo/userSystem-Django | 940acf12f264e986ad8ac5e7d3b8aaa0a5a7b1c6 | 82e3cf45d94bb4b3d65da94a32bc18cebb6b1709 | refs/heads/master | 2022-04-29T18:12:57.164887 | 2018-08-22T07:49:41 | 2018-08-22T07:49:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 658 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-08-18 12:54
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_auto_20180818_1641'),
]
operations =... | [
"geek_leo@outlook.com"
] | geek_leo@outlook.com |
ec19430ba5d5df43b88d4f9b77763a84416ac3eb | 99af81d1da4545ab7d83f3c744c8494bf917ee9d | /push_feedstock_changes | 1763e16bef8000ba18ab84869efd98bb81888b8d | [] | no_license | msarahan/conda_recipe_tools | ea32e921b412c1eb686c3a193021062f0333249a | 9ff81cbd745af66d62d4555ff7e5fc2367a35603 | refs/heads/master | 2020-03-19T10:06:18.108036 | 2018-10-31T22:30:27 | 2018-10-31T22:30:27 | 136,343,451 | 0 | 0 | null | 2018-06-06T14:49:21 | 2018-06-06T14:49:20 | null | UTF-8 | Python | false | false | 5,850 | #! /usr/bin/env python
# push feedstock changes to AnacondaRecipes git organization
# requires Python 3.5+
import argparse
import logging
import os
import subprocess
import sys
from subprocess import PIPE
from conda_build.api import render
LOG_FORMAT = '%(asctime)s - %(levelname)s : %(message)s'
class GitRepo(obje... | [
"jjhelmus@gmail.com"
] | jjhelmus@gmail.com | |
ace3c17769f70ffc745907457172f979761025b3 | a03cdb676a7db91c09d5b051585af8c1fbdcee66 | /venv/bin/pip | fdd43619020cbfe9bfbe0730b4ed7ae9dbc6ca25 | [] | no_license | d11m4/movies | fb1f4cbe7141cc4643a0ab2797595b432ece664f | 4df606564b565c72930f0a3213e3955f925d4987 | refs/heads/master | 2023-02-13T05:54:54.029461 | 2020-04-23T20:03:55 | 2020-04-23T20:03:55 | 258,317,203 | 0 | 0 | null | 2021-01-06T01:08:32 | 2020-04-23T20:02:46 | Python | UTF-8 | Python | false | false | 388 | #!/Users/dmitry/nikmovies/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(
... | [
"d11m4@yandex.ru"
] | d11m4@yandex.ru | |
757c511b89810d2b035d2c74957e10869842c3dd | 755271e401d9dd06866d134f314e7865c06f2bcc | /lib/kml_parser.py | 91838350b9c4b44e9f4ea313d547519315386211 | [] | no_license | Galli1598333/LoRaWAN-Application | 31b00d769d7d5b85e53bbf10b3709c31ddcf30f0 | ac299da43656f79a8111586acfed1a04662547de | refs/heads/master | 2023-06-12T01:06:55.774495 | 2021-06-29T16:19:26 | 2021-06-29T16:19:26 | 301,663,145 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,328 | py | import xml.etree.ElementTree as ET
class KmlParser:
def __init__(self, merged_fpath):
self.merged_fpath = merged_fpath
def merge_files(self, count_fpath, track_fpath):
with open(count_fpath, 'r') as file:
count = file.read()
with open(track_fpath, 'r') as file:
... | [
"noreply@github.com"
] | Galli1598333.noreply@github.com |
244ed0d2ccb9439a9c3b907c35305cf549eccb03 | ccb0fa72852a29c38e0d83427318ef95225697bf | /benchmarks/utils/training.py | c886bf9b8130fc948318ee2c196ebc3a9df4f043 | [
"Apache-2.0"
] | permissive | crispitagorico/GPSig | 62d3f4f3a078e753a98641670bb8088c0df960bb | c93155f83c11b05b9850b24481c6584ef5206a49 | refs/heads/master | 2023-02-26T06:05:45.353637 | 2021-01-30T08:02:04 | 2021-01-30T08:02:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,155 | py | import sys
import os
sys.path.append('..')
import numpy as np
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
import gpflow as gp
import gpsig
import keras
from keras import backend as K
def fit_nn_with_gp_layer(X_train, y_train, var_list, x_tens, y_tens, loss, sess, minibatch_size=50, max_epochs... | [
""
] | |
9e72e6d0888bf2204d471dd9e5d05a180ce11fa0 | 795340baeeed8aab921ec02f7226248b35256edf | /query_view/views.py | ff792aea286aebf5c3d1a585faf07358f5a4ddd6 | [
"MIT"
] | permissive | enricobarzetti/django-query-view | 3646970571cf3c4bad97fb2fb7104cbe63855a45 | 79c6247c076d037c3c401d05773f64e5e237f3a2 | refs/heads/master | 2023-02-16T01:00:24.562879 | 2021-01-17T04:03:07 | 2021-01-17T04:03:07 | 324,231,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | from django_filters.views import FilterView
from taggit.models import Tag
class QueryView(FilterView):
url_name = None
template_name = 'query_view/query.html'
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['tags'] = Tag.objects.all... | [
"enricobarzetti@gmail.com"
] | enricobarzetti@gmail.com |
bbde3cd10bf1a8966da6f099488bf23ab78d6311 | 15c1975e8862f6765e44feb756fdab06f6714525 | /PDU/devel/test_argparse.py | 8b1f6f0555d1aaa7280fa18e962eaeee084df320 | [] | no_license | TianlaiProject/tldev | 2876571c77b75cac1a2a69e9922a25398f989788 | d62416ae4ceed07b7c55b6d5b99b3cbdbd75fb71 | refs/heads/master | 2020-04-03T19:23:05.834689 | 2019-08-22T09:03:53 | 2019-08-22T09:03:53 | 155,521,451 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 396 | py | import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-a', '--aa')
parser.add_argument('-b', '--bb', nargs = '?', const = 10, default = 123)
parser.add_argument('-c', '--cc', )
op = parser.parse_args()
try:
print 'aa = ', op.aa
except:
print 'aa error'
try:
print 'bb =', op.bb
except:
... | [
"astrofanlee@gmail.com"
] | astrofanlee@gmail.com |
ff37fca6d36c96f787bcda7ec42d605301f532d9 | 413940b4b461e9bb549c08a0ca21f3893583723f | /Tarea de Investigación/Lista.py | ae30f2124612ead01dfcd5277317d9c3d950910f | [] | no_license | MARILEONV/Tarea-de-Investigaci-n | d6da1a3ec6020b67f3007881bf7bf4747103a33f | 232f5757e28af74bd168fc99d785c129332d07bf | refs/heads/main | 2023-06-28T14:20:29.892082 | 2021-08-05T01:06:55 | 2021-08-05T01:06:55 | 391,653,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,264 | py | from Numero import *
class Lista(Intermedio):
def __init__(self,lista):
self.lista= lista
def presentarLista(self):
n = int(input("Cuantos elementos quiere agregar a la lista: "))
for i in range(n):
lis = input("Ingrese valor {}: ".format(i))
self.li... | [
"noreply@github.com"
] | MARILEONV.noreply@github.com |
2d845424b61f091dfef56a43fb628330980dd4d7 | fbe6090cfd86f07acefae39e885d0a7c3574c942 | /post/views.py | fc036b6d4bc821d88284c85f01f2781eefd28205 | [] | no_license | andralandrizzy/todos | 77a4677eea379985487c93c11618966962e590b4 | f44ad05d6b775414798ca7c1c895aff5eacfd10c | refs/heads/main | 2023-01-03T04:51:25.363851 | 2020-10-22T04:40:59 | 2020-10-22T04:40:59 | 306,193,858 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | from django.shortcuts import render
from django.http import HttpResponse
from . models import *
from . forms import *
# Create your views here.
def index(request):
if request.method == 'POST':
title = request.POST['title']
description = request.POST['description']
task = Task(title=title, d... | [
"drip_dev_drizzy@pop-os.localdomain"
] | drip_dev_drizzy@pop-os.localdomain |
fe4089d3a3e8b1f7b727787135b1b49cbd154b9f | 1767232aba61ea15703df6589355f9bae64e22bb | /train.py | 51aaf2f61392dd89c59c86a0758b0d90ce676e1c | [
"MIT"
] | permissive | ChinaYi/asrf_with_asformer | 73fc1a4019fc4db5b7452767be17e5f8d5611726 | 16a5dba6eeb7220c9dd30b64613972883dcb83ca | refs/heads/main | 2023-08-23T05:58:33.541399 | 2021-10-28T13:04:45 | 2021-10-28T13:04:45 | 416,367,698 | 14 | 1 | null | null | null | null | UTF-8 | Python | false | false | 9,260 | py | import argparse
import os
import random
import pandas as pd
import torch
from torch.utils.data import DataLoader
from torchvision.transforms import Compose
from libs import models
from libs.checkpoint import resume, save_checkpoint
from libs.class_id_map import get_n_classes
from libs.class_weight import get_class_we... | [
"noreply@github.com"
] | ChinaYi.noreply@github.com |
227083a6426424a55be3c286049966f07d5526b7 | 904a5d68bd9ce20f46031b1b30690daa6f101f77 | /scorelib-import.py | 55a87e7c9e1e1fd8e7caa1a8084f4d1591522e5c | [] | no_license | lubcik/PV248 | 21d42796e29410391b0b06d149c39cbce81268ae | 2cb11e5315b2ea1c8b4b4413116f88bc9c888dd4 | refs/heads/master | 2021-05-05T01:05:46.029546 | 2018-01-29T20:54:23 | 2018-01-29T20:54:23 | 119,612,407 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,383 | py | import re # regular expressions
import sqlite3
# This is a base class for objects that represent database items. It implements
# the store() method in terms of fetch_id and do_store, which need to be
# implemented in every derived class (see Person below for an example).
class DBItem:
def __init__( self, conn ):
... | [
"lubica.kramarekova@kiwi.com"
] | lubica.kramarekova@kiwi.com |
e743b9ad9f620a3fdcf330cd029aede1dbd35801 | 64c7445ed33d43c4d56f96c1916d55bf63a80ce6 | /allelic_dist.py | 4c573b7fb0ebda38fcafcf14307193229df65068 | [] | no_license | dorbarker/mist-tools | d28dba2d2705ae1cf6854717ca6b982672ea9a8e | b18929b489f204b3b4411ad9d9d1d88ed48db1ce | refs/heads/master | 2020-06-12T18:06:00.718335 | 2015-01-09T18:16:17 | 2015-01-09T18:16:17 | 28,106,694 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,717 | py | import argparse
import csv
import mistutils
def arguments():
parser = argparse.ArgumentParser()
parser.add_argument('-j', '--jsons', nargs='+', required=True, help='Path(s) to JSONs')
parser.add_argument('-t', '--tests', required=True, help="MIST test name")
parser.add_argument('-o', '--out', require... | [
"dor.barker@gmail.com"
] | dor.barker@gmail.com |
295e21ae589f0e72622d30ceb5f1fdd2443680b9 | e6c1ce30389e87986e9db8fad7a3351e8fdb1259 | /budget/migrations/0002_remove_customer_profile_pic.py | 810105431dfc7cbe49f3161ed2f13c64f1641a68 | [] | no_license | Prabu-N/monthly-expenses-app | ed6652c8955d0654d2778f9ef3377ba274109080 | 2de193d2dcb0978a92aa03cd7e13c89846facd6a | refs/heads/master | 2022-12-27T09:02:50.254939 | 2020-10-06T05:59:49 | 2020-10-06T05:59:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 323 | py | # Generated by Django 3.0.7 on 2020-09-12 09:20
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('budget', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='customer',
name='profile_pic',
),
... | [
"prabu6964@gmail.com"
] | prabu6964@gmail.com |
61d41b77446a8bf350c21e4782b2e2bce3f5ad6a | 4fcd166f2d6a9a31daed609feff8c7e37b3e359b | /librfid/FIFO.py | 585810db1e73dd0ac5d82fc47148fadf64949d32 | [] | no_license | fchorney/rfid_daemon | 6bba2106d38489037b0666a1f07802d8c2ebe312 | 739119e48c6ed69820486668c33a0bd835b1a631 | refs/heads/master | 2021-06-14T14:34:25.211859 | 2017-02-03T18:34:18 | 2017-02-03T18:34:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 634 | py | # -*- coding: UTF-8 -*-
from os import mkfifo, stat
from os.path import exists
from stat import S_ISFIFO
def isfifo(path):
if exists(path):
return S_ISFIFO(stat(path).st_mode)
return False
def openfifo(path, mode):
if not isfifo(path):
mkfifo(path)
return open(path, mode)
class FI... | [
"github@djsbx.com"
] | github@djsbx.com |
b05c63535ada6a48faeb8b3038fc4d314df9e2a0 | f891bda5635da422a2c76edbcb1af0061aa12574 | /rest/migrations/0002_auto_20210314_1159.py | ba6e398bf6c9d3cb86518665d0bc887f01a8dc4f | [] | no_license | darkydash/olimpiada_ya_prof_task2_pi | 60edc4c51297303a80d0b9386ec68c196054c06d | 287f3f38b12dcc0beed39468f1a5feffb248a1ed | refs/heads/master | 2023-03-18T23:02:35.523806 | 2021-03-14T09:19:42 | 2021-03-14T09:19:42 | 347,589,745 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | # Generated by Django 2.2.13 on 2021-03-14 08:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('rest', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='notes',
name='title',
... | [
"darkydashie@gmail.com"
] | darkydashie@gmail.com |
16c4b2fcf10ed1d8ed1bbe25f5cb06e02759fa77 | 1107d86d52dd5cdb1cb6dd1625ac5676ba66b540 | /server/models.py | bd1d9054a4e66dd13c99164f19ee03fc905fbb0d | [] | no_license | anirudh1200/flask_react_jwt_auth | 98238df3c43d16f356c9ab5c03b6ef9269ef8d7e | 0430570f5a3abbd9d9e0addd4d27e5586e55d2f6 | refs/heads/master | 2020-06-21T07:16:26.191991 | 2019-06-11T15:23:23 | 2019-06-11T15:23:23 | 197,379,701 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 277 | py | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
firstName = db.Column(db.String(50))
lastName = db.Column(db.String(50))
username = db.Column(db.String(50))
password = db.Column(db.String(100)) | [
"anirudh.b.123@gmail.com"
] | anirudh.b.123@gmail.com |
74db1e67a767be1ccd50a8e60cbe29e1b58c56e9 | bf30258c306c27ae7851fe5a701e311df7ba7293 | /chatproject/routing.py | 8da9fc78d866f9a68200f131a1d17dcc0ee49346 | [] | no_license | soomin-jeong/chat-app | 499076c57c3f4bc6fbd1b7db2a0353d89aababd4 | 6cdb3958ebdd48c7635f373c4e0e5f6dd02fb232 | refs/heads/master | 2020-06-30T08:18:57.635161 | 2019-08-06T08:47:42 | 2019-08-06T08:47:42 | 200,775,977 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 240 | py | from channels import include
application = [
# To set up the websocket routing
include("chat_app.routing.routing_websocket", path=r"^/socket/"),
# For chat join, leave, and send
include("chat_app.routing.routing_chat"),
] | [
"smjeong@ogqcorp.com"
] | smjeong@ogqcorp.com |
f8245119fd7270f578f5d81fd88be98f949dea5a | 83ac04c3ef23c06b497cb6d8913cee34645b818d | /UNIT 1/W1_Lecture 3.py | 54783520f6ed219c61521fbf9627a9aa95877c40 | [] | no_license | markjluo/MITx_6.00.2x | adc29297148144426de053e2e8f49c98fa8af113 | b5c8ba805cfaaee8e2847d68751fe9a95b6dc0e2 | refs/heads/master | 2020-05-27T00:29:32.746081 | 2019-05-28T21:55:11 | 2019-05-28T21:55:11 | 188,425,039 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,558 | py | class Node(object):
def __init__(self, name):
"""Assume name is a string"""
self.name = name
def getName(self):
return self.name
def __str__(self):
return self.name
class Edge(object):
def __init__(self, src, dest):
"""Assumes src(Source) and dest(Destination) a... | [
"mark.j.luo@gmail.com"
] | mark.j.luo@gmail.com |
e5356c009de0a60d2476a1ab574e460d8f281c61 | 40426dffc4024327a28511bb1178f5d07a9eacdb | /natas/natas5.py | 0c1c58f1055d1ec5496332b8b6eca7d7e353eccc | [] | no_license | dr01dz/overthewire | 52e3eac3d437bf30848738496b844ac5b6b645e0 | e822a9a327dba0734ea6ec202c2cb22cfceb02cf | refs/heads/master | 2021-05-18T07:16:59.847040 | 2020-03-30T01:55:29 | 2020-03-30T01:55:29 | 251,175,935 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 381 | py | import requests
import re
username = "natas5"
password = "iX6IOfmpN7AYOQGPwtn3fXpbaJVJcHfq"
url = f"http://{username}.natas.labs.overthewire.org/"
session = requests.Session()
response = session.get(url, auth=(username, password), cookies={'loggedin': '1'})
content = response.text
flag = re.findall(r"... | [
"dr01dz@pm.me"
] | dr01dz@pm.me |
5458a59d2c1a1fc92e3d4f82b705bf473f5f329c | f3335c28c0eec1587f81c492289e83ca96fb066a | /integrationtests/TestYouTubeUserScraper.py | d264e51c26815fd41b79fa280c49e4d134caad3b | [] | no_license | souzaonofre/youtube-xbmc-plugin | 1e373f05d7df5262cca0fa55f445a5c5aa56b901 | 80330ea03eadd72027dc5c1184f8df9c4f6d7a06 | refs/heads/master | 2021-01-18T10:37:58.637182 | 2015-04-11T17:42:36 | 2015-04-11T17:42:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py | import BaseTestCase
import nose
import sys
class TestYouTubeUserScraper(BaseTestCase.BaseTestCase):
def test_plugin_should_scrape_liked_videos_list_correctly(self):
sys.modules["__main__"].settings.load_strings("./resources/basic-login-settings-logged-in.xml")
sys.modules["__main__"].settings.setS... | [
"commander.john.crichton@gmail.com"
] | commander.john.crichton@gmail.com |
e224aba3ce164996f1d8fa2ecae19ad56194e37c | e50e73e3d18bd297eda0561421e5f5b44e47fde8 | /ops.py | f58171f9239858581a8f6a789289992744f156e2 | [] | no_license | JabariHolder/squad-tensorflow | 57d1251eeb6dd2ee5922e5e27fec7ace748201f7 | 14ef5bb3b1119aa071f2324930e7f9e488ef212d | refs/heads/master | 2020-03-24T19:37:50.991101 | 2018-06-13T05:58:16 | 2018-06-13T05:58:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,710 | py | import tensorflow as tf
import os
from tensorflow.contrib.rnn.python.ops.rnn_cell import AttentionCellWrapper
from tensorflow.contrib.tensorboard.plugins import projector
def dropout(x, keep_prob):
return tf.nn.dropout(x, keep_prob)
def lstm_cell(cell_dim, layer_num, keep_prob):
with tf.variable_scope('LST... | [
"jinhyuk_lee@korea.ac.kr"
] | jinhyuk_lee@korea.ac.kr |
368cd162c2321582941fb96c9ef02d7aa65f8a41 | 3e7b9373afd1dc4ec30f0afd12f38b607a823747 | /simple-sklearn-demo/test14/balanceTest.py | d52f7283569994b2c5f2d1ad9490cc3d0c8becb5 | [
"MIT"
] | permissive | GlintW/Intern.MT | 767512a42ba4f450d8b2b24fecf8595294d6fe7c | 29538b083f29720bfdda7565eaca89292f7e3723 | refs/heads/master | 2020-06-09T10:40:43.720827 | 2019-07-05T03:36:21 | 2019-07-05T03:36:21 | 193,424,380 | 2 | 1 | MIT | 2019-07-05T07:04:31 | 2019-06-24T03:01:31 | Jupyter Notebook | UTF-8 | Python | false | false | 4,389 | py | """
以癌症判断为例, 假设原本的样本有100个, 真实的正确标记是99个癌症, 1个正常, 将癌症视作正例的话,
假设不进行任何科学预测, 而是直接把100个都胡乱猜测为正例, 则:
精确率为 99%
召回率为 100%
F1-score为 2 * 0.99 * 1 / (0.99 + 1) = 1.98 / 1.99 = 0.99497487437185929648241206030151
在这种情况下, 因为样本不够均衡, 精确率/召回率/F1-score都无法用来判断真实的模型能力, 会认为胡乱猜测的结果预测很准确.
TPR True Positive Rate 真正例比率
TP / (TP + FN)
所有真实为1的样... | [
"crackedcd@qq.com"
] | crackedcd@qq.com |
7234b46068e6c69c07d561b4565db25d1df52a21 | 5c38f7b1c479345ae02b9805458335b5f07acda5 | /2. Useful methods/2_lesson2_step8.py | 20533e59e843ca5f4c37ef8fa24578f28ece3926 | [] | no_license | BenjaminPetrik/stepik-auto-tests-course | b3a667b34593220f4b73681d51466c812dc48919 | ae40d40a1833e728afc660896d7ef62289c7a37e | refs/heads/master | 2022-11-07T06:28:00.135119 | 2020-06-23T13:58:22 | 2020-06-23T13:58:22 | 272,705,087 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 862 | py | import os, time
from selenium import webdriver
from selenium.webdriver.common.by import By
try:
browser = webdriver.Chrome()
browser.get("http://suninjuly.github.io/file_input.html")
elements = browser.find_elements(By.CSS_SELECTOR, "[type='text']")
a = 1
for element in elements:
element.s... | [
"veniaminproductengine@lindenlab.com"
] | veniaminproductengine@lindenlab.com |
a1c051123e8faa5112afbc7549b0e7b355131a1a | 19ba3e5edfd76fb1801ff8e290ed87e6e4a3500e | /select_huge_glyphs.py | 0a8157138e07a05fb459d9fec68d1564cacab9a7 | [] | no_license | thundernixon/robofont-scaling-scripts | b0785d0dd93687e77a02e02716841be6b39c87ef | 4a510c2e0bad5ef144d12b5e95c4321181f60cca | refs/heads/master | 2021-08-23T21:23:37.288458 | 2017-12-06T16:18:01 | 2017-12-06T16:18:01 | 113,058,351 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | f = CurrentFont()
sel = []
for g in f:
for contour in g:
for seg in contour:
for point in seg:
if point.y > f.info.ascender + 200:
if g.name not in sel:
sel.append(g.name)
print sel
f.selection = sel | [
"swr410@gmail.com"
] | swr410@gmail.com |
38781e7b0e37c1a1936673f0ab5b178c0fbbc6f6 | 3b074226ba22a9438cfcb960b9aade03d2293394 | /.c9/metadata/environment/addWebAccounts/cart/context.py | 842496ca315773dfb440d42bf691cbee3491aaa6 | [] | no_license | MACmidiDEV/e-comm | 6e5b376c15acf3dd8b757cc441b3da8b91986b57 | 923963d9fae8d22a877844649bad72b784c0b5cc | refs/heads/master | 2022-11-25T14:49:05.131637 | 2020-07-03T01:56:12 | 2020-07-03T01:56:12 | 224,777,076 | 0 | 1 | null | 2022-03-12T00:06:16 | 2019-11-29T04:31:54 | Python | UTF-8 | Python | false | false | 8,650 | py | {"changed":true,"filter":false,"title":"context.py","tooltip":"/addWebAccounts/cart/context.py","value":"","undoManager":{"mark":0,"position":23,"stack":[[{"start":{"row":0,"column":0},"end":{"row":21,"column":85},"action":"insert","lines":["from django.shortcuts import get_object_or_404","from products.models import P... | [
"mcamacho1990@icloud.com"
] | mcamacho1990@icloud.com |
1c5b3e260feb0abf34d105b4ab31197434afe5f3 | 3b6930a9196fe14312065238dfa65e45c3782210 | /Python Web Django/Python Django/project1/board/urls.py | f41f592be312240ad03af23567c9ea05c2ec435e | [] | no_license | KIMJINMINININN/Python | 22d73487290d29f1c3f4c95b52e4c45917ca17ac | 25db3f492203bccd61b57a59e59359e2ab4ae0e6 | refs/heads/master | 2020-08-10T11:10:18.698661 | 2020-01-16T07:48:49 | 2020-01-16T07:48:49 | 214,330,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 443 | py | from django.urls import path
from . import views # 현재 패키지에서 views 모듈을 가져옴
urlpatterns = [
path('index', views.index, name='index'),
path('list', views.list, name='list'),
path('write', views.write, name='write'),
path('edit', views.edit, name='edit'),
path('content', views.content, name='content... | [
"kjm9596@gmail.com"
] | kjm9596@gmail.com |
650b1cddafdcf3bf377bbce779edd5211ecc1465 | 425b40227fc001db71b6e1ca1605f89fe397be7b | /reviews/models.py | 19afd8e395b2e74984af10649d99d4736d3ed9e1 | [] | no_license | WilsonKinyua/django-jwt-authentication | 46c4fc33822e268d960d8209ca8ae41e29a2fdb1 | d9cde71e19fd395d6b3a63a54b71ed1c8a90e587 | refs/heads/main | 2023-08-30T14:26:37.467549 | 2021-11-11T18:18:15 | 2021-11-11T18:18:15 | 427,054,678 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,021 | py | from django.db import models
from django.contrib.auth.models import User
class Company(models.Model):
name = models.CharField(max_length=255)
url = models.TextField()
def __str__(self):
return self.name
class ProductSize(models.Model):
name = models.CharField(max_length=255)
def __str... | [
"wilsonkinyuam@gmail.com"
] | wilsonkinyuam@gmail.com |
33b61bf2932f4411bf9ef228e7bde07fef9b852b | 9face6b1854d76ed54cc8655de4b4af3a644b08a | /tt/lm/lm_interface.py | eb3cf88c5c07747109daecd037c0d53f422c2ab8 | [] | no_license | oshindow/Transformer-Transducer | 3b20597de3ed5e503130167df8b846fc62e0124d | aad37a26c4513fb0f2759e1c29c8cae77355bf6d | refs/heads/master | 2023-03-15T18:22:29.659790 | 2021-03-11T11:14:02 | 2021-03-11T11:14:02 | 267,882,594 | 16 | 7 | null | null | null | null | UTF-8 | Python | false | false | 2,571 | py | """Language model interface."""
import argparse
from tt.interface.scorer_interface import ScorerInterface
from tt.dynamic_import import dynamic_import
from tt.fill_missing_args import fill_missing_args
class LMInterface(ScorerInterface):
"""LM Interface for ESPnet model implementation."""
@staticmethod
... | [
"walston874848612@163.com"
] | walston874848612@163.com |
4d93c3ab89f7bf0f9692c97824d0989cfbb687fc | 6f54ce52f08806075f0445e7dd206baae96ebdca | /PoweredBy/languages/pt-pt.py | 80a971191b36d62890865c8f3723871283037ee6 | [
"BSD-3-Clause"
] | permissive | ykanggit/web2py-appliances | a93d318a214aa5b3e5cd6b47b642f2c12addba46 | 5ca7a04d5403f04aad9e90e99e10dbc05a08a50a | refs/heads/master | 2022-05-06T08:55:11.089350 | 2022-04-14T19:25:02 | 2022-04-14T19:25:02 | 49,680,074 | 0 | 0 | null | 2016-01-14T22:41:45 | 2016-01-14T22:41:45 | null | UTF-8 | Python | false | false | 4,186 | py | # coding: utf8
{
'"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN': '"update" is an optional expression like "field1=\'newvalue\'". You cannot update or delete the results of a JOIN',
'%Y-%m-%d': '%Y-%m-%d',
'%Y-%m-%d %H:%M:%S': '%Y-%m-%d %H:%M:%S',
'%s r... | [
"massimodipierro@Massimos-MacBook-Air.local"
] | massimodipierro@Massimos-MacBook-Air.local |
ad258023d7e6c5bee3653c2eab16b6bb7b1e268b | 0dc2d21387fc245d9ef6cc59ca89b5e45e2f242a | /TranscodeVideos.py | b66e98502ca47041583636a272af641f36dc948c | [] | no_license | lambdan/video_bla | b49b0580919927e2e77cb60a9f51d59b290c2d45 | 985a688b087270b2ae61e7cefab0bbea4e168293 | refs/heads/master | 2020-05-21T23:52:09.313204 | 2018-01-06T17:19:35 | 2018-01-06T17:19:35 | 58,374,192 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,600 | py | # TranscodeVideos.py - transcode a bunch of videos and move or remove the originals
# (I used it for converting all my various .AVI files to x264 & AAC .MP4 files)
# https://github.com/lambdan/video_bla/blob/master/TranscodeVideos.py
import os
import subprocess
import sys
import shutil
import random
import ti... | [
"noreply@github.com"
] | lambdan.noreply@github.com |
344d8580155be95612f6e0637afcc43da9de33d3 | a85b6f4b704cde9b6a7fbee55c171e49970b8eb8 | /Module2/m2l2s6.py | 079778fdc9001f083c4129f84afb675fa949f26f | [] | no_license | mamboosjka/stepik-auto-tests-course | 690fb5aee3d3a4c8afa9ef0e5e72dba3125f4b1a | dfc8c31428ba33169f1494cab97f467f3ad0492a | refs/heads/main | 2023-04-08T03:49:42.124582 | 2021-04-08T11:05:53 | 2021-04-08T11:05:53 | 355,862,515 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 985 | py | import time
import math
from selenium import webdriver
def calc(x):
return str(math.log(abs(12*math.sin(int(x)))))
link = "http://suninjuly.github.io/execute_script.html"
browser = webdriver.Chrome()
try:
browser.get(link)
x = int(browser.find_element_by_id("input_value").text)
res = calc(x)
answe... | [
"mamboosjka@gmail.com"
] | mamboosjka@gmail.com |
dd6541d9d8ff9ab4794e02ad2543b073688d076c | 68c9a6e674a19b3e09909dcd92edea2ee0fdbfbe | /ichwiwiko/testboard/sorts/quicksort.py | 1d7da340da69278f470e6cac8110594f2bfa1bad | [] | no_license | gomsang/AlgorithmTraining | b5446beb34ceeb8baa0c3448ec2165faf48a5a90 | d4307e809953aa4a71796a179bb8e8867fc5327b | refs/heads/master | 2023-03-16T11:16:35.204193 | 2022-10-20T11:35:15 | 2022-10-20T11:35:15 | 235,547,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | array = [5, 7, 9, 0, 3, 1, 6, 2, 4, 8]
def quick_sort(array, start, end):
if start >= end:
return
pivot = start
left = start + 1
right = end
while left <= right:
while left <= end and array[left] <= array[pivot]:
left += 1
while right > start and array[right] >=... | [
"gyeongrok.kim@gomsang.com"
] | gyeongrok.kim@gomsang.com |
09309d271545275a88c3de88371ac5663368f43a | 61d7f7dec12990c93f9fef622004adba9365cd6f | /mac/shop/views.py | e876fa9df8a2844ac61b6c6c8fdbbfe03567e157 | [] | no_license | dheeraj-iitk/E-commerce | 647cedff7281cd57eb4507593c07c6544ccb0bab | 7981671934e6514e7ecad24ba17527085394c3ed | refs/heads/master | 2022-12-01T20:55:46.273180 | 2020-08-09T07:50:51 | 2020-08-09T07:50:51 | 286,191,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,490 | py | from django.shortcuts import render
from django.http import HttpResponse
from .models import Product,Contact,Order,OrderUpdate
from math import ceil
import json
# Create your views here.
def index(request):
# products = Product.objects.all()
# print(products)
# n = len(products)
# nSlides = n//4 + ceil... | [
"adheeraj"
] | adheeraj |
aa4e25862d208c3ca7a5087ea05eb8aa0943adab | fd928e7226d629fbc75c51c88a7523ecc9b0ec6e | /src/test/mylist.py | 42cdb538aeff19f4f153e958f2e891733b6cd726 | [] | no_license | z-mac/MyFirstWork | eb20a0d1cf3184f23ab5d913eaf02c615d97253d | 62ff219e7a572c4f63cee0fadddaf2020e586dac | refs/heads/master | 2021-04-27T07:21:40.261998 | 2018-02-25T02:11:42 | 2018-02-25T02:11:42 | 122,630,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 795 | py | '''
Created on 2018年2月23日
@author: Administrator
'''
from builtins import repr
class MyList(object):
def __init__(self, start = []):
self.data = []
for x in start: self.data.append(x)
def __add__(self, other):
return MyList(self.data + other)
def __mul__(self, time):
... | [
"zhudg06@163.com"
] | zhudg06@163.com |
8558affeb8a8ca35f2353bd99f82f3e24fbb62b4 | 13bf5804662ade86f3ba2801d436374134638ada | /filt_func_lam_git.py | 907f796776f2ed43e946650f94d4ba3cf1116ca5 | [] | no_license | Timothy-L-Baron/accum_filt_func_lamb | 20cb50e99c30093e2f40709cc5c8353a6484dc25 | f36fd9904b7211e88124495348f567cee24b0ad8 | refs/heads/master | 2020-12-10T03:58:05.474125 | 2020-01-13T02:36:25 | 2020-01-13T02:36:25 | 233,495,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 448 | py | #Your choice of function or lambda expression
l1 = ['left', 'up', 'front']
l2 = ['right', 'down', 'back']
"""def length_tester(x1, x2):
if x1 > 3 and x2 > 3:
return True
else:
return False
filter(lambda x1: x1 > 3, l1)
filter(lambda x2: x2 > 3, l2)
opposites = [lambda x1, x2: leng... | [
"noreply@github.com"
] | Timothy-L-Baron.noreply@github.com |
15c2b5e4fd096ba9e34456682e877ad061103472 | ccb29eb93e59bebbeacc76cd5de1b83d2963019e | /cache/.mako.tmp/comments_helper.tmpl.py | 266dfe7096456f039860c344e67139308da3be9d | [] | no_license | Henrilin28/blog_nikola | 0bedc654f134d06e9caabc745a43cf366a6ae193 | 14e2cc08c4f17543d41e79c1cc3ca961ed81dc82 | refs/heads/master | 2021-01-01T04:50:25.487948 | 2016-05-22T02:53:45 | 2016-05-22T02:53:45 | 59,391,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,164 | py | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1463885624.645596
_enable_loop = True
_template_filename = '/Users/Henrilin28/.pyenv/versions/Niko... | [
"imhenry@me.com"
] | imhenry@me.com |
7000a4849970f918ef076d96b36b84c8793c749d | 0e0a51274af5ebee7972bf3aaaf913ca3ef9c339 | /lab5prog.py | 98e80636fa143477d0b293dbe67b8d3b074f17aa | [] | no_license | abhirungta15/abhishek | f2eee351fdf33951866cd2849a619e411954e9c9 | aaf39a7835656d11fe5d31425465d93cacbb8d48 | refs/heads/master | 2020-07-01T14:12:02.841423 | 2019-11-21T07:17:49 | 2019-11-21T07:17:49 | 201,193,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,375 | py | class callDetails:
def __init__(self,c,r,d,t):
self.cal = c
self.rec = r
self.dur = d
self.typ = t
def disp(self):
print("\nCaller: ",self.cal)
print("Reciever: ",self.rec)
print("Duration: ",self.dur)
print("Type: ",self.typ)
class Util:
def... | [
"noreply@github.com"
] | abhirungta15.noreply@github.com |
09b35917c3d630de765d4c01397568171fea5663 | a14ec6e367e6a471bfc74c066fb958ef585bc269 | /2021/25/a.py | 4071853842bf6b9a62759256250857218792d9f3 | [] | no_license | jimhendy/AoC | 90641814ed431f46a8500ff0f022c6c957567563 | a1727f88bc2e6f739d65902dce188377966b3fb4 | refs/heads/master | 2023-09-02T14:48:39.860352 | 2023-08-28T08:09:19 | 2023-08-28T08:09:19 | 225,152,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,423 | py | import os
def step(east, south, width, height):
next_east = set()
next_south = set()
for current in east:
dest = (
(current[0] + 1, current[1]) if current[0] < width - 1 else (0, current[1])
)
if dest not in east and dest not in south:
next_east.add(dest)
... | [
"jimhendy88@gmail.com"
] | jimhendy88@gmail.com |
6f0364bb09295c95f320d0a1705d65ce785226a2 | d568222a97c64b6a98365188b45abda2a3a1a21a | /app/core/tests/test_admin.py | 5caf249936c3414f6e54e62b76e79e63ef994f44 | [
"MIT"
] | permissive | nguyenlinh171/recipe-app-api | 454b5f6889371bfb5997fcf43e5cb442ba718c98 | 339feb3df6aed6d424a19ca0748a49cd6ed173be | refs/heads/master | 2022-12-18T18:21:11.310735 | 2020-09-12T22:37:53 | 2020-09-12T22:37:53 | 279,976,158 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,119 | py | from django.test import TestCase, Client
"""Additionally import the test client which allows us to make test
requests to our application in our unit tests"""
from django.contrib.auth import get_user_model
from django.urls import reverse
"""reverse is a helper function which allows us to create url for our
admin p... | [
"54919030+nguyenlinh171@users.noreply.github.com"
] | 54919030+nguyenlinh171@users.noreply.github.com |
8431d0865f52e94db4a1aa801d6483375ecccee0 | ff05d487fa7a79e3045c139421ce9031b2aa7360 | /effdet/evaluator.py | 8a7222c1ea527e4546e0f47650c00a22faf68442 | [
"Apache-2.0"
] | permissive | phager90/efficientdet-pytorch | eb92e6d5d4eb6c367d23081ce6abd0b2d1fa0cf2 | bbd84c0e7ec2a23c6ae7447c437789524ba141dd | refs/heads/master | 2023-07-17T13:33:25.835335 | 2021-08-30T18:23:37 | 2021-08-30T18:23:37 | 291,003,268 | 0 | 0 | Apache-2.0 | 2020-08-28T09:14:34 | 2020-08-28T09:14:34 | null | UTF-8 | Python | false | false | 3,130 | py | import torch
import torch.distributed as dist
import abc
import json
from .distributed import synchronize, is_main_process, all_gather_container
from pycocotools.cocoeval import COCOeval
class Evaluator:
def __init__(self):
pass
@abc.abstractmethod
def add_predictions(self, output, target):
... | [
"rwightman@gmail.com"
] | rwightman@gmail.com |
062ed619a2a9785ee7c7bb6df7787b25c9ac2d5d | 7c955fedadad8428f2dfe377e419784e89dc34cf | /lab2del1/Lab-2-del-1-grupp-27 1/incremental.py | 58a8f9901c9478e0a6e14358bfabc7c271488edc | [] | no_license | magdulator/d0012e | b5551708a27739375128bc7940bd5e1bf3a3f8f7 | a6b8c27ed0a100f936a5a3f7121a3e9a383fd943 | refs/heads/main | 2023-01-31T22:47:46.779795 | 2020-12-15T11:59:55 | 2020-12-15T11:59:55 | 311,751,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 859 | py | import random
import math
def generateList(maxNum, length):
randomList = []
for i in range(0, length):
n = random.randint(0,maxNum)
randomList.append(n)
return randomList
def incrementalAlgo(randomList):
print(randomList)
minList = [math.inf]*3
if len(randomList) < 3... | [
"marcus99.ma@gmail.com"
] | marcus99.ma@gmail.com |
c2c159837beaa43638ecdef24b0aa89e5d32595c | b4c405599e7ece55cd65647b2d08ec434890c0cc | /ValidAnagram0242.py | 8423a294f21d9d23424e34cd46db0fca5269c3cf | [] | no_license | Naveen1789/leetcode | 0f5742c26ea74af3bfaaf95c2302471816fb3e7b | 59facf3c3806db0405de957850b1266a3fd39f7c | refs/heads/master | 2020-04-26T20:59:12.843796 | 2019-07-08T07:30:50 | 2019-07-08T07:30:50 | 173,828,509 | 0 | 0 | null | 2019-07-08T07:30:51 | 2019-03-04T22:02:47 | Python | UTF-8 | Python | false | false | 198 | py | class Solution(object):
def isAnagram(self, s, t):
"""
:type s: str
:type t: str
:rtype: bool
"""
return ''.join(sorted(s)) == ''.join(sorted(t))
| [
"nnarayan@groupon.com"
] | nnarayan@groupon.com |
d68cade990aa93e0622fa323fa783729d6f2b902 | 3134101271dda48daab261d8719303a00212bb89 | /nlu/sklearn_Classification/train.py | ab8086246ff589d165ad0e5ac93060e11b2ed07e | [] | no_license | ykklin/KBQA-for-Diagnosis | e944f71264b7bd90c16776d6ec0a7f230fe381f9 | 8847ef445beb1000b1905b8fea57114ef8d56597 | refs/heads/main | 2023-05-28T07:20:20.836969 | 2021-06-07T05:39:58 | 2021-06-07T05:39:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,214 | py | # -*- coding:utf-8 -*-
import os
import pickle
import random
import numpy as np
from sklearn import svm
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn.metrics... | [
"350625640@qq.com"
] | 350625640@qq.com |
1a0fb8aa0fa8b64a69ac5a8040510b607facc284 | f9128baa55e0b638567a8c1af17149a0278bdd68 | /video/video.py | 8a4391538a34f5efc626f0d3003a377eaebd9911 | [] | no_license | super1peng/spider | 5d3be575f2d8faf3d7d09d5a2ee2e250c0a7d9d9 | d437f880927a5ec5172904698252f818190c227b | refs/heads/master | 2021-01-01T19:37:40.269731 | 2019-03-24T05:06:07 | 2019-03-24T05:06:07 | 98,631,916 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,521 | py | #coding:utf-8
'''
抓取最新的电影排行榜榜单
url:http://dianying.2345.com/top/
使用 requests --bs4 线路
python 版本：2.7
OS: Mac os
'''
import requests
import bs4
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
def get_html(url):
try:
r = requests.get(url, timeout = 30)
r.raise_for_status()
r.encoding = 'gbk'
return r.te... | [
"lxp@lxpdeMacBook-Pro.local"
] | lxp@lxpdeMacBook-Pro.local |
cc4d76ca0b6ccea81ce0a0572fb374e11948d47b | 220a35d689724475130a1e746d126cdf83561a82 | /__init__.py | dc356837fd09d394c539e2b10e533164935217d2 | [] | no_license | argeweb/plugin-shop-point | 5525e2fbb7c76c2a0be500956023fae555192634 | 21aa0cc62e2eb5c98000a3181221107a5b937b17 | refs/heads/master | 2021-01-24T18:26:18.297526 | 2017-12-31T00:02:39 | 2017-12-31T00:02:39 | 84,439,777 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,906 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created with YooLiang Technology (侑良科技).
# Author: Qi-Liang Wen (温啓良）
# Web: http://www.yooliang.com/
# Date: 2017/2/24.
import time
from argeweb import ViewDatastore
from argeweb.core.events import on
from .models.user_shop_point_model import UserShopPointModel
from .m... | [
"cwen0708@gmail.com"
] | cwen0708@gmail.com |
253a1628bdd94f6cf6ccc6232414e9be938ae8f8 | afd7207ec79198ed8b515c66a4ff951692fc5756 | /Backend/classbase/apps.py | fa9aeea553b29740f8fad006f1087cfc90cc50a0 | [] | no_license | mdarifulislamroni21/Backend-project | 469e58ee1c8395a56f45434efc238eccd2adea77 | 4a999c7cb520c811fb0a051015822944f5d8479d | refs/heads/master | 2023-06-24T19:55:57.562157 | 2021-07-23T08:39:37 | 2021-07-23T08:39:37 | 388,731,430 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 150 | py | from django.apps import AppConfig
class ClassbaseConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'classbase'
| [
"mdarifulislamroni21@gmail.com"
] | mdarifulislamroni21@gmail.com |
c64849e80bea851fe7f4e51272613346a3637d16 | 8e924c9309c6a6e18df9c20b7fba7bad3158365c | /ad_os_homework1/server.py | 4c56bfa6d1821cc30eb494e3d8b961379e1c9034 | [] | no_license | LumingSun/Homeworks | e6fb96654caa21120e81f211b5268dbdf10e12b5 | 767a51ad91940ad80dd99debad70240bc3ef303a | refs/heads/master | 2020-08-30T16:03:54.142283 | 2019-10-30T02:38:16 | 2019-10-30T02:38:16 | 218,428,308 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,958 | py | from socket import *
def judge(player_1, player_2):
if(player_1 == player_2):
return 0
elif(player_1== 'J'and player_2== 'B'):
return 1
elif(player_1== 'C' and player_2 == 'J'):
return 1
elif(player_1== 'B' and player_2 == 'C'):
return 1
else:
return 2
def s... | [
"sunluming@ruc.edu.cn"
] | sunluming@ruc.edu.cn |
582c3f6652991b01a81065cd669ecf1d36a67de6 | a8cea6f25cadd904a13d83115d1500806f1d9e0d | /utils.py | 418ecff098adfb3b5bf6ed06d8aa683edae5b383 | [] | no_license | VladRim/learnbot | c93fa10e58a902454a374d033288f9cf050a01e0 | 30181a42e50662d793d442acd9348bf6ce969af4 | refs/heads/master | 2023-02-16T11:49:44.534805 | 2022-12-08T14:47:54 | 2022-12-08T14:47:54 | 240,859,359 | 0 | 0 | null | 2023-02-07T23:14:50 | 2020-02-16T08:49:17 | Python | UTF-8 | Python | false | false | 872 | py | from random import choice
from telegram import ReplyKeyboardMarkup, KeyboardButton
from emoji import emojize
import settings
def get_user_emo(user_data):
if 'emo' in user_data:
return user_data['emo']
else:
user_data['emo'] = emojize(choice(settings.USER_EMOJI), use_aliases=True)
retu... | [
"vlad_rym@mail.ru"
] | vlad_rym@mail.ru |
2bc469b0e94182a6576d4291fb741e8d0a1aab08 | 19d313ce232eb91c625cb55ba38849440e2c8d94 | /web/test_demo.py | 4afe0a1dcf865097b10c3b37872ec30c7833a8d2 | [] | no_license | xyqiang/pydemo | 57d9d6ee0a6ad181818c1abfa39fc003e093fab5 | 74776ca4bbf4a7e621b27874797d392708c68273 | refs/heads/master | 2022-12-04T23:41:27.932696 | 2020-08-27T15:51:17 | 2020-08-27T15:51:17 | 288,662,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 991 | py | from time import sleep
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
class TestBaidu():
def setup(self):
self.driver = webdriver.Chrome()
self.driver.ma... | [
"xuyanqiangak@gmail.com"
] | xuyanqiangak@gmail.com |
a1ccebc348e9f5fcadcd168ada5d25f7b5eac74c | f1b1f58e3186d75641c4368ce85fd296eabf34d1 | /checkall.py | b119a4b3546f6cd3a9b569a3723c9b21cc9fb8e2 | [] | no_license | NCMohit/FingerPrintDB | fe6940cfc8b32948e59575cdce2d670302e326f4 | 0893a8038c54c9fb502ebdacc9ff19e7ba8720f1 | refs/heads/master | 2020-05-31T23:06:18.717820 | 2019-06-12T15:08:56 | 2019-06-12T15:08:56 | 190,532,770 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 194 | py | #script to check all buyers and users
import requests
response = requests.post('http://127.0.0.1:5000/checkall', json="Cowbunga") #Change server IP
if response.ok:
print(response.json()) | [
"noreply@github.com"
] | NCMohit.noreply@github.com |
ef15b221bdbd47dcbd54d248ca66b5df938b3512 | 37784d6cc1236061c5a20acff860ce23880d72a0 | /RemoveCharacters.py | 411399e833a9d453ac92dddac258344b04578341 | [] | no_license | ayyelle/CodeEval-Solutions | 847f1aaa60d3529c07222a24de9e7caca21041dc | 9ed426b4168af289629b65983bde8ff7490eb045 | refs/heads/master | 2021-05-04T10:59:22.820731 | 2017-02-05T09:17:36 | 2017-02-05T09:17:36 | 47,165,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 463 | py | # I solved the Remove Characters challenge on @codeeval. http://www.codeeval.com/browse/13
import sys
test_cases = open(sys.argv[1], 'r')
for test in test_cases:
splitArray = test.split(",");
word = splitArray[0].strip();
takeway = splitArray[1].strip();
for letter in takeway:
for otherLett... | [
"awyleong@interchange.ubc.ca"
] | awyleong@interchange.ubc.ca |
ed58c2f7d2768861e44c0d6759b99b24c66bbbcb | 14d2e54652c884bbb7ce8ad00abe17af8305eb89 | /basespider/htmldownloader.py | a297b5dc4eb168e72d8939f4ec76c30b9eacdd5e | [] | no_license | oujx28/Spider_study | 1a4d49283867cfd1756d21bfbded863e954375c4 | 68495ffcc7d90a1833c11307104d1b368ed3b8b6 | refs/heads/master | 2021-09-06T06:34:38.475200 | 2018-02-03T08:21:06 | 2018-02-03T08:21:06 | 118,708,906 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | # coding:utf-8
import requests
class HtmlDownLoader(object):
def download(self, url):
if url is None:
return None
user_agent = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:59.0) Gecko/20100101 Firefox/59.0'
headers = {'User-Agent': user_agent}
r = requests.get(url=url,... | [
"oujx28@163.com"
] | oujx28@163.com |
03aad048fd326465dacdba68767b5185be0599e9 | 0a89c26b9ca935f184b4d204c49131878337b27e | /popular-movies.py | d391031d6a2379497d054c77466424a0d88c1f94 | [] | no_license | ajcse1/Movie-Recommendation-System | 4d464cbaf405faa9dfdb80dc6347b1fcbd3927a5 | 05d4658ed4d570ac9945412b8fa6ae1f8cd42190 | refs/heads/master | 2021-01-11T15:19:22.616987 | 2017-01-29T06:17:09 | 2017-01-29T06:17:09 | 80,331,667 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 471 | py | from pyspark import SparkConf, SparkContext
conf = SparkConf().setMaster("local").setAppName("PopularMovies")
sc = SparkContext(conf = conf)
lines = sc.textFile("file:///SparkCourse/ml-100k/u.data")
movies = lines.map(lambda x: (int(x.split()[1]), 1))
movieCounts = movies.reduceByKey(lambda x, y: x + y)
flipped = m... | [
"ajcse1@gmail.com"
] | ajcse1@gmail.com |
8f2f936f6beaf453053dadd039d75bb75430f225 | c0792645c156cb9e20a1aa2b28c565150358bc6e | /apps/inmueble/serializers.py | d9166f0f6f0260446d36b4092b9aaf89ad6ba48b | [] | no_license | clioo/Praver | b22fd92886e0399845adb4366663cae6a7d7853b | 523f0d78e0a2039a5bae3e539c93e2c2415a0840 | refs/heads/master | 2020-03-11T12:38:54.272392 | 2018-06-28T18:24:21 | 2018-06-28T18:24:21 | 130,003,043 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,115 | py | from rest_framework import serializers
from apps.inmueble.models import Inmueble,ImagenesInmbueble,Localidades
from django.contrib.auth.models import User
from apps.usuarios.models import Profile
class InmuebleSerializer(serializers.ModelSerializer):
imagenes = serializers.SerializerMethodField('obtenerImagenes')
... | [
"jesus_acosta1996@hotmail.com"
] | jesus_acosta1996@hotmail.com |
4fb36500fa15632ac15b7957bf643f29310c6c60 | f6dbab4737f462d1126420fe28581c4584f8777b | /onsetDetectionFunctions.py | eca272ed03261f2141e385e563aa77c42318ba38 | [] | no_license | bradgowland/BirdEmporium | 77570bad94f128143f3bf1d20132781fd713cc76 | 830df0e9dc20b25f652f67f7d6df3373397c84ae | refs/heads/master | 2021-05-08T11:31:33.204777 | 2018-01-22T19:57:22 | 2018-01-22T19:57:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,321 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 11 23:36:03 2017
@author: DavidVanDusen
"""
import numpy as np
from basicFunctions import bufferSig,getSpectrogram
from scipy.stats.mstats import gmean
from scipy.signal import medfilt, butter, filtfilt
def plotSpectrogram(array,win_size,hop_size,... | [
"vandusen5000@gmail.com"
] | vandusen5000@gmail.com |
80216700b3417c217422132d2a882e988c1c97f7 | db849509c78603e2b4820b6e27f0ffaa648b8e5a | /catkin_mapping_ws/build/turtlebot/turtlebot_bringup/catkin_generated/pkg.develspace.context.pc.py | 8c35d2d54212acd7fbb209eab051e21a6e12bd84 | [] | no_license | AnkushKansal/GridBasedFASTSLAM | 684550f9cea1e9c885fa1cceaea7721941ee8d47 | 94c472c4d8145d154dd2a69c6ee6188197037d9c | refs/heads/main | 2023-04-16T17:44:40.219283 | 2021-04-13T18:18:33 | 2021-04-13T18:18:33 | 357,618,850 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "turtlebot_bringup"
PROJECT_SPACE_DIR ... | [
"ankush.kansal19@gmail.com"
] | ankush.kansal19@gmail.com |
0d6d4e41a52a8b721e2cf46ea08845715b6135d5 | 2a394194f77dfd600913a811868df9e644a999fa | /meiduo_mall/meiduo_mall/apps/carts/utils.py | 8d62d6c1b479bb67b00d3f6a76a60e3e5fc616e4 | [] | no_license | 18882028307/meiduo_project | 01a66053e6c74457377e6f34ff9c17ed251b32a3 | 2814979eb1f5280ad5d37a5f7188506894d7c8c8 | refs/heads/master | 2020-08-16T00:35:04.745494 | 2019-11-01T10:27:33 | 2019-11-01T10:27:33 | 215,431,413 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,698 | py | import base64
import pickle
from django_redis import get_redis_connection
def merge_cart_cookie_to_redis(request, user, response):
"""
合并购物车，cookie保存到redis中
:return:
"""
# 从cookie中取出购物车数据
cart_str = request.COOKIES.get('cart')
if not cart_str:
return response
cookie_cart = p... | [
"710363437@qq.com"
] | 710363437@qq.com |
2d16a9054e22480fa489ec2ed89ab54a86f8c85c | 60aeff792a1cd3a476a34ca333b8bab2715d787d | /simple_audio_recognition/generate_streaming_test_wav.py | a2ed95edc054a3922f2883ebb287aafb7396e697 | [] | no_license | ziippy/tensorflow-speech-recognition-challenge | 9e377b17657cbce9f3d5326e860d12bf0b326e07 | 3304b44c5ae1c7af5f161af6fbd3ba64699974c3 | refs/heads/master | 2023-01-24T08:46:36.466238 | 2020-12-04T03:31:43 | 2020-12-04T03:31:43 | 112,940,339 | 1 | 0 | null | 2017-12-04T14:34:15 | 2017-12-03T15:39:37 | Python | UTF-8 | Python | false | false | 10,932 | py | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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 applica... | [
"ziippy@naver.com"
] | ziippy@naver.com |
123cd95d903ac9a0e5514b4f4aea512078990c6b | b697e6ba57ae5b70c81762ee9c7b76158d998d4b | /functional_tests/test_my_lists.py | 658a09345200c9e1274a913ce2ff5c3946ff0404 | [] | no_license | jhagege/book_example | 419b64acbf7d1ef57bbff7a05290fbadedbb39f5 | 4eb88bf822715b031538a72cc08ea6bb54f7c695 | refs/heads/master | 2023-05-31T11:26:18.542916 | 2019-08-12T21:15:32 | 2019-08-12T21:15:32 | 198,066,799 | 0 | 0 | null | 2021-06-10T21:44:46 | 2019-07-21T14:30:11 | JavaScript | UTF-8 | Python | false | false | 2,816 | py | from django.conf import settings
from django.contrib.auth import BACKEND_SESSION_KEY, SESSION_KEY, get_user_model
from django.contrib.sessions.backends.db import SessionStore
from functional_tests.management.commands.create_session import create_pre_authenticated_session
from functional_tests.server_tools import creat... | [
"joachim.hagege@alibaba-inc.com"
] | joachim.hagege@alibaba-inc.com |
a57730a7979dc3c57c74c59a29356e7e916dbdc5 | 50948d4cb10dcb1cc9bc0355918478fb2841322a | /azure-mgmt-network/azure/mgmt/network/v2018_07_01/models/ipsec_policy_py3.py | ada123aa21f28ec5aeaf0746d0048305d73420cc | [
"MIT"
] | permissive | xiafu-msft/azure-sdk-for-python | de9cd680b39962702b629a8e94726bb4ab261594 | 4d9560cfd519ee60667f3cc2f5295a58c18625db | refs/heads/master | 2023-08-12T20:36:24.284497 | 2019-05-22T00:55:16 | 2019-05-22T00:55:16 | 187,986,993 | 1 | 0 | MIT | 2020-10-02T01:17:02 | 2019-05-22T07:33:46 | Python | UTF-8 | Python | false | false | 4,388 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | [
"lmazuel@microsoft.com"
] | lmazuel@microsoft.com |
701c49eedae3939ba4f75ef2a8241253462a7a1d | f816ab1b508ebcc6f858e3fd15377bf7bdb97e5e | /kolstatapp/views/ajax.py | d9b7442ad746e492f379272640e8b80867cc5672 | [] | no_license | xneby/kolstat | 4219da46cc1a5784b97ed50fb69572d292686a8e | 877ffcf5a0c25f0e7c87ad16617a66c7cec2a19b | refs/heads/master | 2020-05-02T12:35:13.096115 | 2013-05-27T18:29:32 | 2013-05-27T18:29:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 854 | py | import json
from kolstatapp.models import Station, UserFavouriteStation as UFS
from kolstatapp.decorators import ajax
from kolstatapp.exceptions import BadRequest
@ajax
def ajax_station(request):
for field in ('query','type'):
if field not in request.GET:
raise BadRequest()
name = request.GET['query']
type = ... | [
"karol.farbis@gmail.com"
] | karol.farbis@gmail.com |
205855857c122e67c0d6e0db7df6b9f1e94ec102 | fdbfb2d7302fee1388a8facc2938d1e4259f1615 | /tensorLayerTest/tensorlayer/rl/test1.py | 98ec6a789b17cfc895fd55d210d6b6686f6d63ef | [] | no_license | kflyddn/tusharetest | e261c498f06897e6914c20681941b60f05cc0107 | a05919a5b41288f97a0b73bb5cec97400daa959b | refs/heads/master | 2020-05-07T14:53:05.957456 | 2018-06-26T15:58:20 | 2018-06-26T15:58:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,567 | py | #! /usr/bin/python
# -*- coding: utf-8 -*-
"""Example of Synced sequence input and output.
This is a reimpmentation of the TensorFlow official PTB example in :
tensorflow/models/rnn/ptb
The batch_size can be seem as how many concurrent computations.\n
As the following example shows, the first batch learn the sequence i... | [
"78732833@qq.com"
] | 78732833@qq.com |
f270f1f9f205464eecc6286116d5f393e29b632c | 846dc93416153ef6707e3d8b22fa9ade3e9712d8 | /Eclipse/GroundIDB.py | 74e814c9e23451feeef49f989b8a941e19400a26 | [] | no_license | ehmoni/Datalog-Weighted-Repairs | b0103753f6ba09fffd74c48e32297d85143ce03b | 1bfecd62946574f6704966d2260fc40db3b7754e | refs/heads/master | 2022-02-25T19:54:20.270689 | 2019-11-10T01:54:41 | 2019-11-10T01:54:41 | 205,717,284 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | RuleRecord = {}
RuleRecord["G_01"] = "(admDrugT(Date, PrescribedBy, Drug, Patient, Age) & personSpec(PrescribedBy, Specialist) & drugType(Drug, DrType)"
def GroundIDB(di):
ditk = di[-6:-2]
print(ditk)
body = RuleRecord[ditk]
return 0
# def GroundIDB(di):
# ditk = di[di.find("... | [
"noreply@github.com"
] | ehmoni.noreply@github.com |
33759813fc74e64798832ff55f2d4bd596a0903c | 1aa404dc254e64962a67833fe3060045bcd17fd0 | /Study/project_study/readExcel.py | fa8e28f5dff0ecc6ba9e54d70433440a77e45f63 | [] | no_license | guohuahua2012/samples | f1c9d0f988b0309902c3ba94bd1d09d8ba1de5fe | 18c1744c4077f2a5bb1567aec66839aff3b7f48d | refs/heads/master | 2020-05-19T12:21:57.961943 | 2020-04-11T13:04:14 | 2020-04-11T13:04:14 | 185,012,350 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 904 | py | # -*- coding: utf-8 -*-
import xlrd
class ReadExecl():
def readExcel(self, filename, sheetname):
cls = []
try:
data = xlrd.open_workbook(filename)
table = data.sheet_by_name(sheetname)
keys = table.row_values(0)
nrows = table.nrows
ncols... | [
"guohuahua2012"
] | guohuahua2012 |
8e79a3aab8b3e2af24d86803a70b2057cade5424 | 3be13eaad65b202ffe4ac333ed48dfd5432db547 | /single qubit/QL/environment.py | bf57f591ed749eda99574ee567629ccdef2fc356 | [
"MIT"
] | permissive | tuliplan/RL_state_preparation | 5b68310d0957972c1e86df9ef3cfcf78edecf8d2 | e2904edb43a55061d77915098633a5c6211d91a3 | refs/heads/master | 2022-02-18T12:03:07.139584 | 2019-09-06T03:15:57 | 2019-09-06T03:15:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,868 | py | import math
import cmath
import numpy as np
from scipy.linalg import expm
sx = 1/2 * np.mat([[0, 1],[ 1, 0]], dtype=complex)
sy = 1/2 * np.mat([[0, -1j],[1j, 0]], dtype=complex)
sz = 1/2 * np.mat([[1, 0],[0, -1]], dtype=complex)
def hamiltonian(j):
J = 4
H = (j) * J * sz + sx
return H
psi_target = np.mat... | [
"noreply@github.com"
] | tuliplan.noreply@github.com |
06f9786c2bd88a921be9c2d98ed62b4f8689be8d | aeebc330434929fdec92d0fc3108406faacdbd05 | /Python/progate/python_study_3/page9/script.py | 2cba02a4424fde1a3ba5a0a2ac1734ba74fd0650 | [] | no_license | T-o-s-s-h-y/Learning | 740ed0ef70792c62e553794f8b4c01be8f8490c7 | da5c224fb9c1aba726749a2adfa89867dd7e8721 | refs/heads/master | 2023-03-19T20:42:40.284533 | 2022-12-26T05:43:41 | 2022-12-26T05:43:41 | 189,822,954 | 0 | 0 | null | 2023-03-17T06:08:27 | 2019-06-02T08:33:55 | Ruby | UTF-8 | Python | false | false | 741 | py | def validate(hand):
if hand < 0 or hand > 2:
return False
# elseを消してインデントを直してください
return True
def print_hand(hand, name='ゲスト'):
hands = ['グー', 'チョキ', 'パー']
print(name + 'は' + hands[hand] + 'を出しました')
print('じゃんけんをはじめます')
player_name = input('名前を入力してください：')
print('何を出しますか？（0: グー, 1: チョキ, 2: ... | [
"51285386+T-o-s-s-h-y@users.noreply.github.com"
] | 51285386+T-o-s-s-h-y@users.noreply.github.com |
05d05de778ec97436a6174507188d1383adac08e | 7f1325de95175e24eb989081110c169fbcabb777 | /roomai/texas/TexasHoldemEnv.py | 66c5fb5ca1d0c13a1530d6e2bd7bc1e2cf196d5d | [
"MIT"
] | permissive | jichao6758/RoomAI | 3bd268f5cc8734f7c4bb09d5014f61ee8d68954e | 18a3efa0d608c80f2cf8bf9fe743b5911cce9f6b | refs/heads/master | 2020-12-02T09:58:40.171871 | 2018-04-22T07:39:45 | 2018-04-22T07:39:45 | 96,668,863 | 0 | 0 | null | 2017-07-09T07:40:38 | 2017-07-09T07:40:38 | null | UTF-8 | Python | false | false | 31,226 | py | #!/bin/python
#coding:utf-8
import random
import copy
import roomai.common
import roomai
import logging
from roomai.common import Info
from roomai.texas.TexasHoldemUtil import *
from roomai.texas.TexasHoldemAction import *
from roomai.texas.TexasHoldemInfo import *
from functools imp... | [
"jichao6758@sina.com"
] | jichao6758@sina.com |
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