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32598ef7ce2a675fd19eeb58a2b8b4829865353f | 1b47fd7877bc49870eba64d424bcd2a607072b8f | /na-components/nengo-fpga/nengo_fpga/version.py | e151e2b52ef7840a88589515933aab9716b10eb4 | [
"LicenseRef-scancode-warranty-disclaimer",
"LGPL-2.0-or-later",
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-secret-labs-2011",
"Python-2.0",
"MIT"
] | permissive | neurom-iot/naide | a7cc7d821f6dbfd0467aa801e4526e0a78099723 | 3e92134c970cf87c800a6ac91482d6b1ab6e681d | refs/heads/master | 2023-03-11T02:47:10.033264 | 2022-02-26T10:32:43 | 2022-02-26T10:32:43 | 175,844,919 | 12 | 5 | MIT | 2023-03-07T11:56:13 | 2019-03-15T15:22:22 | JavaScript | UTF-8 | Python | false | false | 507 | py | """Nengo version information.
We use semantic versioning (see http://semver.org/).
and conform to PEP440 (see https://www.python.org/dev/peps/pep-0440/).
'.devN' will be added to the version unless the code base represents
a release version. Release versions are git tagged with the version.
"""
name = "nengo-fpga"
ve... | [
"kskim.hci@gmail.com"
] | kskim.hci@gmail.com |
bf57d3cff2ccb4659f1cc8e307879d4511e1cd48 | 1e0ad0c9223a79b67335e3b64f568fd888a5d374 | /LiveAnalyzer_FINAL2.py | 343cef604925905216be59037b20a68dfa238605 | [] | no_license | aeshon/Code_Samples | 47bdf01e69b235699885d4d196daa4eb0da8213e | 09a7966b7ad6736f0259eb1360c467a0fe72960f | refs/heads/master | 2021-03-31T23:35:54.655128 | 2020-03-18T05:10:33 | 2020-03-18T05:10:33 | 248,138,755 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,907 | py | from imutils.video import VideoStream
import datetime
import argparse
import imutils
import time
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from tensorflow.lite.python.interpreter import Interpreter as inter
import os
import cv2
import numpy as np
from PIL import Image
def s... | [
"noreply@github.com"
] | aeshon.noreply@github.com |
e21f6e163ee9906420a48fd0c1c3bab68a8b1543 | d640541bf0ca2f9179ef451837bcb2c571db1484 | /03b.py | aa8ce4ca6a5534b96660c053921d149fc0e58998 | [
"Unlicense"
] | permissive | jpparent/aoc2020 | e30620ca4d04d677c0a00289cb56b736c87d0920 | abac15925e99fedcca27f015dd73c09a55c4da86 | refs/heads/main | 2023-02-02T13:32:04.836685 | 2020-12-18T23:37:48 | 2020-12-18T23:37:48 | 318,365,146 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 518 | py | import re
import math
f = open('03.txt')
rows = f.readlines()
f.close()
treeCounts = [0,0,0,0,0]
slopes = [[1,1],[3,1],[5,1],[7,1],[1,2]]
for s in range(0,len(slopes)):
x = 0
y = 0
# use a while loop to be able to change the index dynamically
while y < len(rows):
if rows[y][x] == '#':
treeCounts[s] ... | [
"jeanp.parent@gmail.com"
] | jeanp.parent@gmail.com |
fae63e0ae8a040c911813758ee97fb64496967ad | 2b732a2c645f5176e7a4f262f15e8e33576f89b6 | /code-injection/preprocess-vulnerable2.py | 95c63d7c5d4cb4b640c54a5aca5eed884ee52c27 | [] | no_license | yanruibo/code-injection | a76ba3b89dc62d34cc193e6751c60bf2fcbd211a | 7baf028150e5c5b692d46ba8d87b584bd28f0c36 | refs/heads/master | 2021-01-15T18:00:56.365688 | 2017-08-09T07:21:19 | 2017-08-09T07:21:19 | 99,771,250 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,117 | py | #!/usr/bin/python
# encoding: utf-8
import sys
import os
import time
def batchDecode():
permissions = ["android.permission.INTERNET", "android.permission.ACCESS_NETWORK_STATE",
"android.permission.CAMERA", "android.permission.FLASHLIGHT",
"android.permission... | [
"1254877260@qq.com"
] | 1254877260@qq.com |
ff8d748191c31b8b253034f9d62c1fd84965c6b0 | c36679186f669c6e3bd1c106c96d4a17be1f5ab1 | /Telusko/38.py | ab8c735ad7203fd88037ecaede6afb9d31e6eb10 | [] | no_license | touhiduzzaman-tuhin/python-code-university-life | 60a3d671b200a6f5222c6d176c13c5f20f013509 | 6d2e3d90d430faa5c83fe79e7fb1ebe516994762 | refs/heads/master | 2023-03-22T15:18:10.636203 | 2021-03-06T18:52:04 | 2021-03-06T18:52:04 | 332,467,190 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,400 | py | def count(lst):
even = 0
odd = 0
for i in lst:
if i % 2 == 0 :
even += 1
else:
odd += 1
return even, odd
lst = [1, 2, 3, 4, 5, 6, 7, 8, 9]
even, odd = count(lst)
print("Even : ", even)
print("Odd : ", odd)
print("-----")
def count(lst):
even = ... | [
"touhiduzzamantuhin95@gmail.com"
] | touhiduzzamantuhin95@gmail.com |
0ccc62939f1fb13e5b443b57aa48bebf5f5fb00b | fec7d40f11d13694ae1d6f72aa1f9c540e976682 | /alerta/common/alert.py | 27694428800a7a47e3ec132d450335cb6b81d362 | [
"Apache-2.0"
] | permissive | xioster/alerta | 9f697cf7bf4c752c9097234a1b27623f22ea7ccd | 3d7fd328221603c96e67ef20d61bb5320ea18f1a | refs/heads/master | 2021-01-21T06:02:14.634649 | 2014-03-20T15:38:23 | 2014-03-20T15:38:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,552 | py | import os
import sys
import datetime
import json
from uuid import uuid4
import re
import fnmatch
import yaml
from alerta.common import log as logging
from alerta.common import config
from alerta.common import status_code, severity_code
from alerta.common.utils import DateEncoder, isfloat
LOG = logging.getLogger(__n... | [
"nick.satterly@guardian.co.uk"
] | nick.satterly@guardian.co.uk |
7bbd3df20566f69f128d3cb2acb3bdb80b98385e | f28681bdaf96688c45b35e7bb8fdf7300a5f6685 | /HW03(SSW-810).py | 74ae155b88e90ea7dd8a3171885c7e24eaee87c7 | [] | no_license | SachinMCReddy/810homework | a1b4bbefd8feb363dadca02abd732f280ddc4260 | 05e5e86f9d69b137ffa2a3561c00f8de1a38a49d | refs/heads/master | 2020-05-05T01:08:30.760615 | 2019-09-09T00:16:54 | 2019-09-09T00:16:54 | 179,593,925 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,300 | py | ''' python program that includes class fractions , plus , minus, times,
divide ,equal to perform tasks on calculator'''
import unittest
class Fraction:
def __init__(self, numerator, denominator):
self.numerator = numerator
self.denominator = denominator
if self.denominator == 0 :
... | [
"noreply@github.com"
] | SachinMCReddy.noreply@github.com |
14d0b9a109e4e6c4dc749ff927ec9aeaca68696d | 93652621e9e57141321bdd95ac23991a82eb5039 | /search_list_unknown_length.py | 491c4494388cefc5c05234e0bf06e1758719289c | [] | no_license | chefmohima/DS_Algo | 02912666d4cb42cdd293e7598e8419e8efdb69e6 | df2306f585a2e5a7aaa8cc8fc09f4c6ab2a40a46 | refs/heads/master | 2020-05-27T04:37:16.118227 | 2020-02-01T13:23:51 | 2020-02-01T13:23:51 | 188,485,743 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py | def search_list_unknown_length(l, upper_bound, item):
#start = 0
# no end pointer as we do not know length of list
end = 1
while end < upper_bound:
start = end
end = end*2
start = 0
# do a binary search between start and end
while start<= end:
mid = (start+end)//2
... | [
"38052670+chefmohima@users.noreply.github.com"
] | 38052670+chefmohima@users.noreply.github.com |
efba47c512c696460f8cf7188eb8de43a3e0bf42 | 2bd6727faeed9d4a0cade3bf3ca4bb8bed0d47dd | /demographicFiltering.py | 980a84d6fea1ca4643796504cd3b1fe0e847448c | [] | no_license | ishitha08/c142 | 844f296a78f64e65e4c77d40502b3283ccda50b8 | 4c442d69626fdcc9594d385fc91d56d666232baa | refs/heads/main | 2023-01-13T19:32:53.657739 | 2020-11-17T12:25:52 | 2020-11-17T12:25:52 | 313,611,502 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 556 | py | import pandas as pd
import numpy as np
df = pd.read_csv('final.csv')
c = df['vote_average'].mean()
m = df['vote_count'].quantile(0.9)
q_movies = df.copy().loc[df['vote_count']>=m]
def weighted_rating(x,m = m,c = c):
v = x['vote_count']
r = x['vote_average']
return (v/(v+m)*r)+(m/(m+v)*c)
q_movies['score']... | [
"noreply@github.com"
] | ishitha08.noreply@github.com |
612671af0b1146ea718e55e21d2773916fdab858 | d0eadb2b1196480594b4bda9cf948b22b18950b8 | /决策树/treePlotter.py | 15d7bfdc5f7d56212a365f243d2e979644ce133b | [] | no_license | HXACA/Machine-Learning-in-Action | 26b0005c6fd1890cab63719c7a4fb9f1abfa2b12 | cb0eeb8483b879e730a4c79d0be217f54740af27 | refs/heads/master | 2021-09-20T21:16:18.253554 | 2018-08-15T07:18:26 | 2018-08-15T07:18:26 | 115,706,010 | 5 | 4 | null | null | null | null | UTF-8 | Python | false | false | 3,903 | py | # -- coding: utf-8 --
import matplotlib.pyplot as plt
from pylab import *
mpl.rcParams['font.sans-serif'] = ['SimHei']
decisionNode = dict(boxstyle="sawtooth", fc="0.8")
leafNode = dict(boxstyle="round4", fc="0.8")
arrow_args = dict(arrowstyle="<-")
#定义叶节点，判断框和箭头的样式
def plotNode(nodeTxt, centerPt, parentPt, nodeType)... | [
"718531794@qq.com"
] | 718531794@qq.com |
f1bd2b0a1cc1759a31d1e58ff56ef537fbbf3bbb | 8fcfe4980c8ce0825beafd881c83db153e2d39c2 | /tests/datasets/test_nwpu.py | c8e6fb1d7e9a72cc9d2e4b3977aeb5344d424985 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | Z-Zheng/torchgeo | af1953b2595c4498814a63e805e80744b6ba6ee9 | 53ff5ffbe598cfeae785a37dcdf1d0949d333f08 | refs/heads/main | 2023-08-12T09:09:20.669949 | 2021-09-21T22:21:13 | 2021-09-21T22:21:13 | 408,154,101 | 1 | 0 | MIT | 2021-09-19T14:48:51 | 2021-09-19T14:48:51 | null | UTF-8 | Python | false | false | 3,123 | py | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import os
import shutil
import sys
from pathlib import Path
from typing import Generator
import pytest
import torch
from _pytest.fixtures import SubRequest
from _pytest.monkeypatch import MonkeyPatch
from torch.utils.data im... | [
"ajstewart426@gmail.com"
] | ajstewart426@gmail.com |
261395ceb3f6aaa8f700e67bdfe4e41ae847336a | b39c3568d2347dfb1dfa9581f0bf9e3e24d15a73 | /constant_buffer.py | e55076d7c534bc0f388bdaf2d8bfb48bff9bbf77 | [] | no_license | P-Schumacher/research | 2f55ea4fa5bad32c2537298a619c4f55d4338f06 | 61bcf6aed6594d57c3074b43a2b8ffa80e79ca5d | refs/heads/master | 2023-02-12T08:43:41.400651 | 2021-01-04T13:22:47 | 2021-01-04T13:22:47 | 242,512,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,423 | py | from per_exp.constant_buffer import main
from omegaconf import OmegaConf
import wandb
import sys
import os
from pudb import set_trace
os.environ['CUDA_VISIBLE_DEVICES']='-1'
ant_env = False
vrep = True
if vrep:
main_cnf = OmegaConf.load('configs/vrep_default/vrep_main_conf.yaml')
env_cnf = OmegaConf.load('conf... | [
"pier_schumacher@hotmail.com"
] | pier_schumacher@hotmail.com |
e1165c401f337f497dfd1c72f0e9fa8db6123f58 | 3e59979847bc42e1c90934921c2c7dbeb404d28d | /load_data.py | 96fb3904ba7c11843c726ab4642568d8d84e86ec | [] | no_license | wangqianwen0418/keras_lab | aa5d80d9a30daa1a2b8a769f131e7d23118a3f2d | b72e7bcc4cf5106433c23c2e01acdb220fcf735f | refs/heads/master | 2021-01-16T19:23:38.196223 | 2017-08-27T03:00:27 | 2017-08-27T03:00:27 | 100,157,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,364 | py | import pickle
import os
import numpy as np
def unpickle(file, label_key='labels'):
import pickle
fo = open(file, 'rb')
d = pickle.load(fo, encoding='bytes')
d_decode={}
for k,v in d.items():
d_decode[k.decode('utf8')]=v
fo.close()
data = d_decode['data']
labels =d_decode[label_ke... | [
"noreply@github.com"
] | wangqianwen0418.noreply@github.com |
6ba990b9bf4b74fa5190e679058199fd47819f8e | 901c6cbb92896f70a5c670054ed9505be23cdf3b | /core/migrations/0016_order_coupon.py | 458fb3eb0e20694489ba243b63f1ec922a03e265 | [] | no_license | jofre44/django_eccomerce | 4ba8504579212088d06bb11902e327c1b0b8aca7 | c0fa45ce8bb821935f36b1aa351d6f75a2627600 | refs/heads/master | 2023-04-10T09:08:17.554182 | 2021-04-01T19:23:57 | 2021-04-01T19:23:57 | 349,452,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 475 | py | # Generated by Django 2.2.13 on 2021-03-30 17:06
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0015_coupon'),
]
operations = [
migrations.AddField(
model_name='order',
n... | [
"jofre44@gmail.com"
] | jofre44@gmail.com |
e211fb352dbdd0695136c3ab8f1889f024b1ada5 | 03ad3139a48b826b3c685950bd6d1eb154c9e190 | /Python/python4/ChessGame.py | 13b36478efd3b83f47720bfc1a85a76b432f4fcd | [] | no_license | Jreema/Kloudone_Assignments | c7da1f7fd92660d32e32629614f265ca325d4084 | 81020429c7c2288e3a855222feb3431760490075 | refs/heads/master | 2022-08-31T16:36:03.585366 | 2020-05-21T10:17:52 | 2020-05-21T10:17:52 | 265,818,113 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,577 | py | #Two player Chess Game
import chess
import chess.svg
from IPython.display import SVG
board=chess.Board()
SVG(chess.svg.board(board=board,size=400))
#Prints the chess board
print(board)
global turn1
#Loop continus while game is not over or not stale mate or not check mate
while(board.is_game_over()==False or b... | [
"reemareach@gmail.com"
] | reemareach@gmail.com |
3b513bfffa4db411bd3bed92687039e796e43b32 | 62ad3a52e117674cfcd338f19b364d446bd122eb | /auth/forms.py | b34e8fab7c85b954d11032ffc2c0079bc353dd14 | [] | no_license | marcuswhybrow/django-user-silos | f52a39f7091592d4e52e7f9d5132abf8f8352bb6 | ab7ec92a5663ab063074222104a92308fd6cb6d1 | refs/heads/master | 2021-01-06T20:37:08.873638 | 2010-05-29T12:04:52 | 2010-05-29T12:04:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,970 | py | from django.contrib.auth.models import User
from django.contrib.auth import authenticate
from django.contrib.auth.tokens import default_token_generator
from django.contrib.sites.models import Site
from django.template import Context, loader
from django import forms
from django.utils.translation import ugettext_lazy as ... | [
"marcus@marcuswhybrow.net"
] | marcus@marcuswhybrow.net |
61abec1d7d2ce4a962c4aecf28b2a2da4db5dad6 | b68887f55cfcd0225d732acfbfcc7f3724e49d5d | /pages/components/image.py | b8d9c0eef20385c5b8d655333a4b32e127497e8c | [
"MIT"
] | permissive | rds0751/nhsuk-content-store | 0ac7eb06f85cc97cd57e58a3f24e19db9991a8a2 | 7bd6a386e3583779ddba2347a4b3a80fdf75b368 | refs/heads/master | 2020-04-19T08:53:54.273378 | 2019-01-29T05:08:18 | 2019-01-29T05:08:18 | 168,092,530 | 0 | 0 | null | 2019-01-29T05:05:33 | 2019-01-29T05:05:33 | null | UTF-8 | Python | false | false | 139 | py | from images.blocks import ImageChooserBlock
from .base import Component
image = Component('image', ImageChooserBlock(icon="radio-full"))
| [
"marcofucci@gmail.com"
] | marcofucci@gmail.com |
9cb36269e42f2c79cc4e3d3221f7e3fa336338ac | b4aba66cb30dcad6d816a97b6e9bc4e11515427f | /sources/commands.py | 7eba1d3153bab5f5a4e4a3b21eaf888c478c7b28 | [
"MIT"
] | permissive | arve0/geogebra-wiki-translation-helper | 3abdcf1865f075a216e1d9d1ef5a6672e72089a7 | d865ceef68e81f1893768252d550548a2a818573 | refs/heads/master | 2020-12-24T16:23:38.769389 | 2014-09-10T19:09:21 | 2014-09-10T19:09:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,389 | py | # -*- coding: utf-8 -*-
"""
File: commands.py
Author: Arve Seljebu
Email: arve.seljebu@gmail.com
Github: arve0
Description: Class Commands: Get commands from SVN. Return as dictionary.
"""
from urllib import urlopen
import re
from language import Language
class Commands(object):
""" Geogebra commands from SVN a... | [
"arve.seljebu@gmail.com"
] | arve.seljebu@gmail.com |
5b5f682eb3c6905076165ff0281238b7405c9aa2 | 29fae683de63d8684c359d9ad5ce7f52e9d48c78 | /app/posts/admin.py | f2a78f3a31efae6bfe7b1ea8c794a17cd3900f58 | [] | no_license | jeonyh0924/NBAproject | 4dfab90f6251abeaf2828f2aa240b61567d0ce17 | 2adf0d7a08c1d495bbfb07d6c2672e1ec19a2dbe | refs/heads/master | 2022-09-14T11:45:34.490333 | 2020-10-31T04:15:54 | 2020-10-31T04:15:54 | 165,981,470 | 0 | 0 | null | 2022-08-23T17:30:30 | 2019-01-16T05:46:23 | JavaScript | UTF-8 | Python | false | false | 206 | py | from django.contrib import admin
# Register your models here.
from posts.models import *
admin.site.register(Post)
admin.site.register(Postlike)
admin.site.register(Comment)
admin.site.register(HashTags)
| [
"hungyb0924@gmail.com"
] | hungyb0924@gmail.com |
2074d3e264b3b8fb5e6d4dd8340b0ff9c5124334 | f45fa5a3966290e6cb6adc98abab9fb38f0ec7d6 | /entailment/encoder_base.py | 8bfbdea7a5400a9a874040bc0c784ccda1a5769e | [] | no_license | young-k/change-my-view | 151b4ed72586feebfb959c4be2033d0e3b407e17 | 9ed253bf0f5988b627b1ee323b21e68eaaae49e6 | refs/heads/master | 2021-04-09T11:08:53.701227 | 2018-05-12T22:21:47 | 2018-05-12T22:21:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,879 | py | import torch
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence
from nn_util import get_lengths_from_binary_sequence_mask, sort_batch_by_length
class _EncoderBase(torch.nn.Module):
# pylint: disable=abstract-method
"""
This abstract class serves as a base for the 3 ``... | [
"ya242@cornell.edu"
] | ya242@cornell.edu |
fd96a58a59e118c00aad2c128be465a88183f0a5 | ac810c7e637afd67cf19704a1a724eaac56fed93 | /Hackerrank_python/13.Regex and Parsing/87.Validating phone numbers.py | ecc9b05424de3018ce6cadfe7dc7fea0d6550838 | [
"MIT"
] | permissive | Kushal997-das/Hackerrank | 57e8e422d2b47d1f2f144f303a04f32ca9f6f01c | 1256268bdc818d91931605f12ea2d81a07ac263a | refs/heads/master | 2021-10-28T06:27:58.153073 | 2021-10-18T04:11:18 | 2021-10-18T04:11:18 | 298,875,299 | 41 | 8 | MIT | 2021-03-01T04:40:57 | 2020-09-26T18:26:19 | Python | UTF-8 | Python | false | false | 667 | py | # Enter your code here. Read input from STDIN. Print output to STDOUT
import re
for i in range(int(input())):
x=input()
if re.match(r"[7,8,9]\d{9}$",x):
print("YES")
else:
print("NO")
'''
[789]\d{9}$
The above statement is validating the number/count of digits is 10 or not also
one di... | [
"noreply@github.com"
] | Kushal997-das.noreply@github.com |
cba8656d4ef8f3c2f9fb42a65d8fec8aca015e5d | a8124cc8631b436cf6a43a36d453fee4e52cd97f | /Algorithm.Python/DividendAlgorithm.py | 18c63db8476e3140408ff6aba738699a1ebfd1e2 | [
"Apache-2.0"
] | permissive | cyrsis/Lean | e3b9391ea4d62595cb0252b5bc1c7a0adf1b2883 | a2b74cef260ff9cec70a23d26ed046e239fb1f19 | refs/heads/master | 2023-03-03T10:03:40.698662 | 2016-08-17T15:45:37 | 2016-08-17T15:45:37 | 65,962,751 | 0 | 0 | Apache-2.0 | 2023-02-18T08:42:12 | 2016-08-18T03:38:45 | C# | UTF-8 | Python | false | false | 3,662 | py | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# 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 Li... | [
"alexandre.catarino@gmail.com"
] | alexandre.catarino@gmail.com |
e2717ce4f14438d964c014636ebc6f251d3ece45 | 84350c2c396ecc0f0a786cdb9a40664f171723c4 | /home/views.py | 394be12ec44df2f2795e2512d9a5fcf684d01732 | [] | no_license | henry-alakazhang/seng3011 | cd28d510ba84133aba6c026568ba30b7bd5ea278 | 262791cd13953561c2153cefb5b0ce7315a52eec | refs/heads/master | 2021-05-01T11:48:32.975637 | 2016-04-19T22:38:37 | 2016-04-19T22:38:37 | 54,078,789 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 708 | py | from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
def index(request):
return render(request, 'home/home.html', {'home':True});
def about(request):
return render(request, 'home/about.html', {'about':True});
def api_home(request):
return render(request, 'home/api.html',... | [
"henry.alakazhang@gmail.com"
] | henry.alakazhang@gmail.com |
74ade52a5e14e97314cb7c841a48003edc95c201 | d11c6b6b9762acda60fc094b7e8ad2754fd9b700 | /tensorflow/python/eager/run_eager_op_as_function_test.py | f3b46f6d616f7268bd9249d8f2704de918b11722 | [
"MIT",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | jprosser/tensorflow | 28ba58a811ac92e0e15aab518512cd46fbef90ea | c3f73a5f946c63b238f5412717f6aae4d4d6bf4b | refs/heads/master | 2021-10-07T16:53:58.923779 | 2021-10-01T17:23:25 | 2021-10-01T17:28:00 | 219,566,947 | 0 | 1 | Apache-2.0 | 2019-11-04T18:16:54 | 2019-11-04T18:16:53 | null | UTF-8 | Python | false | false | 6,445 | py | # Copyright 2021 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... | [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
a283863473df2bd22b85733056c19f607a424224 | 9f2cdd1b711209617a4ffd3cde30ebc2630119d7 | /pay.py | c9dd46a2c0fbc06b1bc54d2858ce50c1da5f4340 | [] | no_license | Abhaskar1/E-Wallet | fba879728359843b11b9a9c15b5840c4451169af | a7e59c8ecd77fe50c2c41c59a952d9689899983a | refs/heads/master | 2022-06-09T16:11:52.189190 | 2020-05-08T16:59:30 | 2020-05-08T16:59:30 | 260,440,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,579 | py | import tkinter as tk
import pymysql
from datetime import datetime
def money():
sql_query="""UPDATE users SET balance = %s where id = %s"""
sql_q2="""SELECT phone FROM users WHERE phone = %s"""
sql_q3="""UPDATE users SET balance = %s where phone = %s"""
sql_q4="""SELECT * FROM users where phone = ... | [
"noreply@github.com"
] | Abhaskar1.noreply@github.com |
8a5b27c101b4341b7aea51cf777cc73c13e5a648 | bda25b9d65e3833bd51063060e7cd41945d8d04d | /invent/migrations/0015_auto_20191117_1248.py | 268f9113e301437eaf5fb4c8ac30efe312b5edf7 | [] | no_license | rajathongal/Inventory_Management_sys | e770824eb0e6f3f3df7795c0abe8a173b1cdcd6f | 46c2d3fc4c31d4747851dcdfa39d62e8fee7ff9c | refs/heads/master | 2022-06-14T17:10:47.516041 | 2020-04-25T11:15:28 | 2020-04-25T11:15:28 | 258,756,404 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 701 | py | # Generated by Django 2.1.2 on 2019-11-17 07:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('invent', '0014_auto_20191117_1245'),
]
operations = [
migrations.AlterField(
model_name='mobile',
name='fill',
... | [
"reachme.rajathongal@gmail.com"
] | reachme.rajathongal@gmail.com |
6ae9ab1d798145631327842348ba8d675bea0e3e | 6226d27a844400989d7320fe8041599839ae9628 | /yukawa/chap3/nlp_20.py | fac49a6eabd451995d4692b096f1776153a34721 | [] | no_license | lrlab-nlp100/nlp100 | cb73e996b36a439ae279c99e5463e63678188271 | 65bfb4e5fdc42a655043c9d531e9f7bc10f82ed8 | refs/heads/master | 2021-01-19T23:33:07.483184 | 2017-06-29T03:47:46 | 2017-06-29T03:47:46 | 88,996,166 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 392 | py | from collections import Counter
import re
import json
import gzip
with gzip.open('jawiki-country.json.gz','r') as f:
for line in f:
json_str = line.decode('utf-8')
obj = json.loads(json_str)
if obj['title'] == 'イギリス':
En_str = obj['text']
break;
with open('English.txt... | [
"f.777.aiueo.777@hotmail.co.jp"
] | f.777.aiueo.777@hotmail.co.jp |
aeb857bfb5a30a465110656ef8c80828321583c6 | aaa79e1992c9ea57a80f8bba98e2251cc2814cc3 | /project/final/gain_ratio.py | b4aa3c65357821eef4cdc76a34374419dc238b5b | [] | no_license | Xin-Cheng/CS412 | abcba546383af359290035d8e231e2d601f949a9 | 252662ac1b9c527eaad31de3cff1a75a1790b62f | refs/heads/master | 2021-03-30T16:31:09.316692 | 2017-04-29T06:27:27 | 2017-04-29T06:27:27 | 83,969,661 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,101 | py | import numpy as np
import pandas as pd
import pickle
from math import *
from numpy import *
from collections import deque
class Decision_Tree:
def __init__(self, name, condition, is_label):
self.name = name # name of each tree node
self.condition = condition
self.constraint = None
... | [
"x_cheng@outlook.com"
] | x_cheng@outlook.com |
aabb0f0e8ff633a07728e3ac6a5e69a580bc1ed2 | e1d11eadd56ed94d6bfc5b9a72d00b3482c99121 | /courses/models.py | e521c9bc85bc8ac8962aa9ee3f2904ce0bdf8189 | [] | no_license | Gabkings/django-elearning-app | 0296f8353daa9204c5128481fcd6a237d205fd81 | def573b74ddb3d3732632550cb6d5157329f0388 | refs/heads/master | 2020-09-17T16:34:10.318126 | 2019-11-26T04:32:55 | 2019-11-26T04:32:55 | 224,102,662 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,110 | py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Subject(models.Model):
title = models.CharField(max_length=200)
slug = models.SlugField(max_length=200, unique=True)
class Meta:
ordering = ['title']
def __str__(self):
return self... | [
"gabworks51@gmail.com"
] | gabworks51@gmail.com |
13e7ec5bd8bcba85d483fc56b614ad0ff0f33428 | f0a5ad7b8aa39f51f233391fead0da3eabecc4ee | /.history/toolbox/sheets_20191128125946.py | 6e2ba795be9d240993ce111520e995cf4f16a0c6 | [] | no_license | OseiasBeu/webScrapping | e0a524847e55b24dbbd3d57bbe7fa43b4e101f48 | 1e72c7551aea355a891043baecfcbab8a89e719a | refs/heads/master | 2022-10-25T18:12:50.858653 | 2020-06-18T01:29:24 | 2020-06-18T01:29:24 | 224,681,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,883 | py | from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
import numpy as np
import gspread
def insertPlanMiddleware(rows):
# If modifying these scopes, ... | [
"oseiasbeu@outlook.com"
] | oseiasbeu@outlook.com |
7052235f3eb337f9448428b30966f5fff59e23db | 7cda779a723bdeefaf6489da7d7783ccd1120f62 | /pp1cs18ex02/test.py | 88294203a80dff5ba52c8fc04275371b73a2bb16 | [] | no_license | nvnvashisth/Protein_Prediction | 15d934fb972ede69cd6586edb797b71f2368828c | 3cd2d337950ddb0d1355c834b922aafde1ea1237 | refs/heads/master | 2020-05-25T17:37:48.790830 | 2019-05-21T21:00:37 | 2019-05-21T21:00:37 | 187,912,598 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,176 | py | import sys
import re
import string
from collections import Counter
fasta = []
test = []
count = 0
with open("tests.fasta") as file_one:
for line in file_one:
count=count+1
if(count < 20):
line = line.strip()
if not line:
continue
if l... | [
"nitin@Nitins-MacBook-Pro.local"
] | nitin@Nitins-MacBook-Pro.local |
93615a5b7ca2a53756a14fe3d568a1233a68318d | 644e93ab8ca24734f99ef91e0ef6ace9e232a517 | /Machine-Learning/naive_bayes/nb_author_id.py | 200e531c33e1addfd01572995be7d0f7adef9bc7 | [] | no_license | yennanliu/udacity-nanodegree-data-analyst | 9d8d9a22fb9bbfa00b2f4e5458a8ccbba5050d7b | 1821665b9c608d13e13ae87640816ff68bd9f21d | refs/heads/master | 2021-01-17T23:19:07.524073 | 2015-04-05T20:30:29 | 2015-04-05T20:30:29 | 46,547,159 | 1 | 1 | null | 2015-11-20T07:41:19 | 2015-11-20T07:41:19 | null | UTF-8 | Python | false | false | 1,186 | py | #!/usr/bin/python
"""
this is the code to accompany the Lesson 1 (Naive Bayes) mini-project
use a Naive Bayes Classifier to identify emails by their authors
authors and labels:
Sara has label 0
Chris has label 1
"""
import sys
from time import time
sys.path.append("../tools/")
from em... | [
"orenov@codeminders.com"
] | orenov@codeminders.com |
617dedf006ab85fbf08f9e3961c99c013a7b7d22 | 9eaa2c64a777bd24a3cccd0230da5f81231ef612 | /study/1905/month01/code/Stage3/day18/mysite4/bookstore/admin.py | a90113c19ca8e6a6e29470fcf94152edf2850ee4 | [
"MIT"
] | permissive | Dython-sky/AID1908 | 4528932f2ca66b844d8a3fcab5ed8bf84d20eb0c | 46cd54a7b36b5f009974f2bbb7005a4ad440ca1a | refs/heads/master | 2022-04-14T12:23:30.426270 | 2020-04-01T18:05:19 | 2020-04-01T18:05:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 773 | py | from django.contrib import admin
# Register your models here.
# file:bookstore/admin.py
from . import models
class BookManager(admin.ModelAdmin):
list_display = ['id','title','pub','price','market_price']
list_display_links = ['id','title']
list_filter = ['pub']
search_fields = ['title','pub']
l... | [
"dong_1998_dream@163.com"
] | dong_1998_dream@163.com |
4a50e5dda4de4a0ff20b6832581088f8feb31a5d | a8139ccd50a27861d3c5a4168fd0e4b351c0a514 | /material/code/ds/stack_oop.py | 782427639945b056f919130e5ad4f50d33cecd31 | [] | no_license | shambhand/pythontraining | a124aa1485c3ce0e589fc2cd93c1e991746432e4 | 24dd923e2b2c07c70500775e3665e2a527240329 | refs/heads/master | 2021-05-17T22:54:45.331127 | 2019-01-11T03:12:59 | 2019-01-11T03:12:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 768 | py | #! /usr/local/bin/python3
class Stack:
def __init__(self):
self.lst = []
def push (self, element):
self.lst.append (element)
def pop (self):
if len (self.lst) == 0:
raise ValueError ("pop:stack empty")
return self.lst.pop ()
def examine_stack_top (self):
if len (self.lst) == 0:
raise Va... | [
"amit2766@gmail.com"
] | amit2766@gmail.com |
96aedd41e9935efbfa1f872685834590bc3d7830 | 35fbdc8288a086bda423709580b42a0214789947 | /repo/database.py | 5150331602325c01f435bea6e57fa990f0d89627 | [] | no_license | arvindbasant/telegram-sync | 37fa843c629bfd1ee09a9ae31bb4caa9abe670e2 | 7323b2f6a10bd7054bb1b9818e8e149a42f52b57 | refs/heads/master | 2022-11-26T20:29:53.820497 | 2020-07-22T13:53:44 | 2020-07-22T13:53:44 | 270,522,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 748 | py | import pyodbc
import os
from utils import logger
logger = logger.get_logger(__name__)
def connect():
mssql_server = os.environ['MSSQL_SERVER']
mssql_port = os.environ['MSSQL_PORT']
mssql_database = os.environ['MSSQL_DATABASE']
mssql_username = os.environ['MSSQL_USERNAME']
mssql_password = os.envi... | [
"Arvind.Kumar@mrcooper.com"
] | Arvind.Kumar@mrcooper.com |
80ade2a316255dd197b2cbae465d3246784f7290 | 29deebaee19131b8a4eb05f5f628df0ebb260d08 | /test/social2/FM_addOrCancelAttention.py | 780c04c2f04c63cd8377cd28fc7bfd7dea95509c | [] | no_license | cccthon/webApiTest | d5843f55712499580557afe69f7ab64aa6a55d9c | 5d0a635a67884de10cf19f140f547b7f7dcd1f7a | refs/heads/master | 2022-12-09T12:14:41.087713 | 2018-07-26T06:42:00 | 2018-07-26T06:42:00 | 142,399,806 | 2 | 2 | null | 2022-09-23T21:53:46 | 2018-07-26T06:41:46 | Python | UTF-8 | Python | false | false | 5,722 | py | #========================================================
#+++++++++++++++++ 测试用例信息 ++++++++++++++++
# 用例 ID: FM_addOrCancelAttention
# 用例标题: 关注用户，分别检查关注列表和粉丝列表
# testcase0011：
#1、登录
#2、关注用户
#3、检查关注列表
#testcase002:
# 1、登录
# 2、关注用户
# 3、检查粉丝列表
import sys,requests,unittest,yaml,json,time
sys.... | [
"shencanhui@followme-inc.com"
] | shencanhui@followme-inc.com |
76f5f61d7faf29a8e38e7001278dd3b7abae36eb | 48ba8d0788e4ac7d4cacd7e7a2e2cf4f391c85ad | /Lists/9copylist.py | 674aaa41b444cb13b303f6996b6dec02da0fbd8c | [] | no_license | rahulvshinde/Python_Playground | c28ac2dc0865e254caa5360c3bb97b4ff5f23b3a | 7a03b765dd440654caba1e06af5b149f584e9f08 | refs/heads/master | 2023-04-19T17:25:55.993837 | 2021-05-17T01:15:30 | 2021-05-17T01:15:30 | 280,736,898 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 363 | py | # 9. Write a Python program to clone or copy a list.
my_list = [1,2,3]
def copylist(my_list):
new_list = []
for item in my_list:
new_list.append(item)
return new_list
def copylist1(my_list):
new_list = list(my_list)
return new_list
print("Copied list {}".format(copylist(my_list)))
print("... | [
"r.shinde2007@gmail.com"
] | r.shinde2007@gmail.com |
48482ab71d1bd1822599d7339cad342b01c643d4 | 51be8db88a49f7bebeefddf431faff6048ac4f37 | /xpcc/tools/bootloader/can/host/util/intelhex.py | 63975de317d5ea0829b0b6026572b9b4a64a75f2 | [
"MIT"
] | permissive | jrahlf/3D-Non-Contact-Laser-Profilometer | 0a2cee1089efdcba780f7b8d79ba41196aa22291 | 912eb8890442f897c951594c79a8a594096bc119 | refs/heads/master | 2016-08-04T23:07:48.199953 | 2014-07-13T07:09:31 | 2014-07-13T07:09:31 | 17,915,736 | 6 | 3 | null | null | null | null | UTF-8 | Python | false | false | 3,295 | py | #!/usr/bin/python
import sys
class HexParserException(Exception):
""" Ausnahmeklasse fuer den Intel-Hex-Parser """
pass
class Segment:
""" Speicher einen String mit Speicherinhalten zusammen mit seiner Startadresse """
def __init__(self, address = 0, data = ''):
self.address = address
self.data = data
def... | [
"dev.jonas.rahlf@gmail.com"
] | dev.jonas.rahlf@gmail.com |
14da268989613e7d688226f884587ec8acb176ed | 04e6cd86e6d100740c33c9610b93ab12e21c3047 | /supporting_scripts/.virtualenvs/enrollment_venv/lib/python3.8/site-packages/us/tests/test_us.py | de58c64b582d2296f973a7fed1fac39d1a52b8b7 | [] | no_license | sdl60660/cleveland_eviction_mapping | 5f0ad4b2509b09117612e60a29103176d13b3ef3 | ea4601fded96a3ff2b26b30fa71019e030a14197 | refs/heads/main | 2023-05-08T10:11:56.595243 | 2021-06-02T14:51:14 | 2021-06-02T14:51:14 | 308,381,227 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,496 | py | from __future__ import unicode_literals
from itertools import chain
import jellyfish
import pytest
import pytz
import us
# attribute
def test_attribute():
for state in us.STATES_AND_TERRITORIES:
assert state == getattr(us.states, state.abbr)
def test_valid_timezones():
for state in us.STATES_AND... | [
"learnersd@gmail.com"
] | learnersd@gmail.com |
c8ba16a584ac505e53aac951cfa2b73eceae3b39 | 64bac35d595f4f5f626d5fb2e2b97e26ef914f87 | /Неделя 2/Домашние задания/8. Шоколадка.py | a08796152b8dd126bc57b6b26e201a3de6f225a9 | [] | no_license | BesVik/10WEEKS | ca963b22566bc50f7772da90b5f58cb0c49dac22 | 23ce5d80378280eafa505c5bb6a5d4d5197d8701 | refs/heads/master | 2022-12-07T21:08:58.544146 | 2020-08-22T16:05:57 | 2020-08-22T16:05:57 | 287,961,961 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 863 | py | # Шоколадка имеет вид прямоугольника, разделенного на n×m долек. Шоколадку можно один раз разломить по прямой на
# две части. Определите, можно ли таким образом отломить от шоколадки часть, состоящую ровно из k долек.
#
# Формат ввода
#
# Программа получает на вход три числа: n, m, k.
#
# Формат вывода
#
# Програм... | [
"barsuc1952@yandex.ru"
] | barsuc1952@yandex.ru |
187bd675e9a52862101d51f1b5681a12c9404357 | 3680b53221c78eb79e53fdddb51b8e686193d487 | /p3multithread.py | 06b563c3940af6aea3448b57db90b2de3ac22285 | [] | no_license | vimanari/Bug-Bounty | cc602ebaaa126935e664b102b76d05f6f8737c71 | 6a8a241299ece1558b42553ce1a3cbbab64339ae | refs/heads/master | 2022-11-14T22:40:24.711088 | 2020-07-13T09:23:06 | 2020-07-13T09:23:06 | 278,278,852 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 850 | py | #!/usr/bin/env python3
import sys, os, socket
from socketserver import ThreadingMixIn
from http.server import SimpleHTTPRequestHandler, HTTPServer
HOST = socket.gethostname()
class ThreadingSimpleServer(ThreadingMixIn, HTTPServer):
pass
'''
This sets the listening port, default set to 8080
'''
if sys.argv[1:]:
PO... | [
"noreply@github.com"
] | vimanari.noreply@github.com |
79da6c9b0ad778fbd6c4e91df807ffc5d86c8248 | b1b53a1c50d4d04a25670de094f01feb7f05d08e | /farmacia/migrations/0003_producto_url.py | e5d6f1d2fbb1abfc8fb88164d6dfd3d6e769ac6d | [] | no_license | patoba/Farmacia-Huffman | ba0dcb140d40d4ad3300dd9b34d2a5b559ac41e2 | 666dc5f3d4629d640eacf30a0c2e645862131511 | refs/heads/master | 2022-12-26T03:38:52.876229 | 2020-10-03T04:11:07 | 2020-10-03T04:11:07 | 133,097,635 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | # Generated by Django 2.0.4 on 2018-05-12 02:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('farmacia', '0002_remove_factura_monto'),
]
operations = [
migrations.AddField(
model_name='producto',
name='url',
... | [
"patobarrero@gmail.com"
] | patobarrero@gmail.com |
6f703f4726f327903524d0b1053b388413970267 | 4fc4aa7cea78eca63b42fe99f3a58d55b3851308 | /source_code/gsdmm.py | a4a8a1435e7f54c03454b80e953c334eadb16fe0 | [] | no_license | zshwuhan/gsdmm-2 | 6ec8981faadb1b32e416a6b0aa504cca0fa6936c | e5309a69d4b1f33e3c2831b3c9a7e6deca82c46e | refs/heads/master | 2023-03-15T18:17:19.236918 | 2020-03-22T20:26:50 | 2020-03-22T20:26:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,322 | py | import timeit
import logging
import numpy as np
from collections import Counter
from tqdm import tqdm, trange
import preprocess
import pickle
class GSDMM:
def __init__(self, documents, vocab_size, num_topics=50, alpha=0.1, beta=0.1):
logging.getLogger(__name__).info(f'Initializing an GSDMM instance with p... | [
"noonsky.noon@gmail.com"
] | noonsky.noon@gmail.com |
c555ec981657f8f94ed686047fd33e4b1fa41ff2 | d04811d81be3cddf35e7abe87ddf10e18226a35b | /src/python&db/payment.py | a3423828ed1da70c15fa117fb57e2527b18a447e | [] | no_license | Coutcault/Betting-App-thingy | 09c62f610bd5917b8a3ee3f234acc2ecac2621df | 2754ddaba1ff6090b4ec73563e32aed8ff1195d5 | refs/heads/master | 2022-11-14T21:08:56.019251 | 2020-07-08T19:56:24 | 2020-07-08T19:56:24 | 270,734,109 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,285 | py | # from venmo_api import Client
# Get your access token. You will need to complete the 2FA process
# access_token = Client.get_access_token(username='',
# password='')
# venmo = Client(access_token=access_token)
# Search for users. You get 50 results per page.
# users = v... | [
"Coutcault@gmali.com"
] | Coutcault@gmali.com |
65b04bd650e98b58eddf10ab0e177dcaf8ad613a | 6c73e4abec647a97e011218fdb5e21d9a83323ee | /大蟒/e2f & f2e.py | 0d80911e505a633a22bb33f2bed8b2e19e0b4e84 | [] | no_license | laippmiles/Code_python3.5 | c16db354000d4c91b4455cb9b606ec82e5efe767 | 4d5fb81da5f7dc10b0b3b9961a80d8445cf49ecc | refs/heads/master | 2021-04-27T17:49:23.633804 | 2018-02-21T11:37:37 | 2018-02-21T11:37:37 | 122,328,742 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 299 | py | e2f = {'dog':'chien','cat':'chat','walrus':'morse'};
print('e2f:',e2f);
print('what is \'walrus\':',e2f.get('walrus'));
f2e = {};
for name,contenrs in e2f.items():
f2e[contenrs]=name;
print('f2e:',f2e);
print('what is \'chien\':',f2e.get('chien'));
eset = set(e2f.keys());
print('eset:',eset);
| [
"laippmiles@gmail.com"
] | laippmiles@gmail.com |
b33a7b84bdeedeb3073d351fa989c3ee2eaaaaec | 1639de7d6da19ee382e8b381b847778a5d217edb | /backend/restserver/pipture/urls.py | c434263963c531b2f8865d8fe754788cc188513c | [] | no_license | pipture/Old-App-iPhone | ed24d957758330e60c69c9da03c314b2ee5ba01d | b6c51717beaee20b79c7d12935291bcc844de541 | refs/heads/master | 2020-04-26T14:55:52.877493 | 2013-05-28T11:33:26 | 2013-05-28T11:33:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,164 | py | from django.conf.urls.defaults import *
from django.conf import settings
from restserver.pipture import views as pipture_view
urlpatterns = patterns('',
#(r'^get_all_series/', pipture_view.get_all_series_get),
#(r'^new_series/', pipture_view.set_new_series_post),
... | [
"vkubyshev@thumbtack.net"
] | vkubyshev@thumbtack.net |
946320ab12f007199aa42d1d44c388eee370370a | ffaf4a4b45b7709f752bac7691566eebd5244385 | /Titanium.py | cc7e37d63bc0490d59c5fa006595c1a950cf2964 | [
"Apache-2.0"
] | permissive | commandovmgit/Titanium | d5cc201c9972ad1b6f6b92db22e1a97fdfc65037 | c2e3c6f2d1107ca94d5f280713f86d052024cf4a | refs/heads/master | 2023-06-16T22:52:40.488577 | 2021-07-10T13:18:51 | 2021-07-10T13:18:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,791 | py | #------------------------AUTHOR:Lucksi------------------------#
#-------------------------------------------------------------#
import os
from Core import phishing
from Core import campaign
from Core import services
from Core import config
from Core.Support import Font
from time import sleep
import socket
Network = s... | [
"noreply@github.com"
] | commandovmgit.noreply@github.com |
8badae67c6d22d6be2a5ec4cd5580944385364b1 | 6cae2952e55f2e7c339ffd9e1913504aafc3808f | /listaArmas.py | c24af7812c42dd176476abcf646e0c2ce57db0bc | [] | no_license | bobyzoo/BattleOfTheSpirits | b06cb506f0acc4a363a44a6e5af558cb9996e378 | d87820db163e39d0a6cc6f7824571ac166a596ca | refs/heads/master | 2020-08-07T13:33:36.588361 | 2020-01-24T14:45:28 | 2020-01-24T14:45:28 | 213,470,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 221 | py | from Armas import *
armas = {'Adaga':Armas('coc','Adaga',2,'1d4 perfurante',0.5,''),
'Machado':Armas('marcialcoc','Machado',10, '2d8 cortante',1,'') ,'espadaCurta':Armas('coc','Espada Curta',10,'1d6 2',10,'',4)} | [
"gabrieldossantosvargas@gmail.com"
] | gabrieldossantosvargas@gmail.com |
2c06ebbaf1dd7b970b2f9765fbade07de16e081c | b1e61e5246dc1602d54b0cb3541dfbc943a68e10 | /TestCases/Api.py | 127721acc184abab81e428c5e70471aa5182420f | [] | no_license | heizh/Interface-Automation-Test | c84a3ef9045f8589c7944e2539c60e76d5fc4891 | 6c69afd4da73d800e154a1bb6ae920cf3dfb64f6 | refs/heads/master | 2020-06-11T03:25:19.990329 | 2019-07-15T09:16:09 | 2019-07-15T09:16:09 | 193,837,877 | 1 | 0 | null | 2019-06-26T05:50:59 | 2019-06-26T05:50:59 | null | UTF-8 | Python | false | false | 628 | py | from Base.BaseRunner import ParametrizedTestCase
#from Base.BaseGetExcel import read_excel
from Base.BaseGetExcel import read_excels
from Base.BaseReq import Config
from Base.BaseElementEnmu import Element
from Base.BaseIni import BaseIni
class ApiTest(ParametrizedTestCase):
def test_api(self):
ls = read_e... | [
"noreply@github.com"
] | heizh.noreply@github.com |
745bc0a9eb93fb4f57748962d2ec5b16092e87b0 | f76d6da19a089edcbc16eff34f0a919fe8ee2539 | /K means Clustering/CVIP_P2_Q3(4).py | 9e7e1d32a6e5d149ebd90585d8f21895596bde3b | [] | no_license | krishnasehgal/Image-Processing-1 | a75db38d220e2a3850a28804c61a0a81f2e55ecc | 848289aeb52f72706e53a010db91b59372c43ffb | refs/heads/master | 2020-04-17T05:52:20.898007 | 2019-01-17T21:50:29 | 2019-01-17T21:50:29 | 166,301,417 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,311 | py |
# coding: utf-8
# In[1]:
get_ipython().run_line_magic('matplotlib', 'inline')
UBIT='ksehgal';
from copy import deepcopy
import numpy as np
np.random.seed(sum([ord(c) for c in UBIT]))
get_ipython().run_line_magic('matplotlib', 'inline')
from copy import deepcopy
import cv2
from matplotlib import pyplot as plt
# In... | [
"krishna.dpsite@gmail.com"
] | krishna.dpsite@gmail.com |
07b303013845878dffb7352deceb4ceea7081d66 | 8e18927bb14f2d5a0bb9a30e1f1d9f8297017e87 | /Lorem/test_readfiles.py | 33f3c2bb3118981246eee358fc278e87556073bc | [] | no_license | sngina/core | d8f7e28a9eea83b2d4d98e8b5a7a487946fa409a | 9a89cedef5ccb6a499e5969267b7af35703491f6 | refs/heads/master | 2023-05-30T02:54:10.432569 | 2021-06-12T07:59:55 | 2021-06-12T07:59:55 | 370,314,026 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 284 | py | import unittest
import readfiles
class TestReadFiles(unittest.TestCase):
"""
Class to test the functions on the readfiles module
Args:
unittest.TestCase: Class from the unittest module to create unit tests
"""
if __name__ == "__main__":
unittest.main() | [
"sngina707@gmail.com"
] | sngina707@gmail.com |
4ee9c034912fbd3c02c4b5075ab4b2154b1ebb4a | 414db33a43c50a500741784eea627ba98bb63e27 | /0x0F-python-object_relational_mapping/102-relationship_cities_states_list.py | a213de184612054f6f68c22341ba51371e3e099c | [] | no_license | rayraib/holbertonschool-higher_level_programming | 2308ea02bd7f97eae3643e3ce0a6489cc1ad9ff5 | 6b4196eb890ffcb91e541431da9f5f57c5b85d4e | refs/heads/master | 2021-09-14T09:12:26.664653 | 2018-05-11T03:23:12 | 2018-05-11T03:23:12 | 113,070,818 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 935 | py | #!/usr/bin/python3
'''
script that lists all City objects from the database hbtn_0e_101_usa
'''
from sqlalchemy.orm import sessionmaker
from sqlalchemy import (create_engine)
from relationship_city import City, Base
from relationship_state import State
import sys
if __name__ == "__main__":
uname = sys.argv[1]... | [
"binitarai11@gmail.com"
] | binitarai11@gmail.com |
089fa56f09a89e12a66c98007383fb4a61327a95 | 5657a7e514758d4d5634efb0e1faa2f848121b11 | /sqlite.py | a8caeb2d15126ceffa35804f5e055b045f0fccf5 | [] | no_license | BetterLuke/V-collection-tools | dcdd0c0a1fefd618fbee16e4511cc877ad1334e0 | cd8d904862c322000e5c3bc6a4663e0cc9c4e06d | refs/heads/master | 2020-03-29T13:08:27.361397 | 2018-09-22T12:26:39 | 2018-09-22T12:26:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,473 | py | import sqlite3
import os
from mutagen.mp4 import MP4
from mutagen import File
import configparser
config = configparser.ConfigParser()
config.read('./config.ini')
root_path = config['path']['root']
conn = sqlite3.connect(config['path']['db'])
cur = conn.cursor()
def get_mp3_title(path):
if path.lower().endswith... | [
"axel10@163.com"
] | axel10@163.com |
aea9fd66601e1d252dc445341c6f56ac0b6e60b7 | e295a8593681f70fd9bacf4d334c20b7eb5920b7 | /resources/notifications.py | 711488418b8012551433e53c064b28e7f44f46af | [] | no_license | afolaa27/uconnect-flask | b2d968890eaa9e5d844941e7525a47c72e379076 | c0d8e78fa5cc6ee5659571a0bfad9ef662951e84 | refs/heads/master | 2023-04-23T16:07:01.754079 | 2021-01-14T04:47:54 | 2021-01-14T04:47:54 | 242,198,623 | 0 | 0 | null | 2021-05-06T19:54:26 | 2020-02-21T17:51:08 | Python | UTF-8 | Python | false | false | 1,297 | py | import models
from flask import Blueprint, request, jsonify
from flask_login import current_user, login_required
from playhouse.shortcuts import model_to_dict
notifications = Blueprint('notifications', 'notifications')
#creates a notification
@notifications.route('/<id>', methods=['POST'])
@login_required
def cr... | [
"afolaa27@uwgb.edu"
] | afolaa27@uwgb.edu |
8e33adabba127996ba29511c9825a48fbc037722 | 8987e044c86fdf53ab8996f433689852716fb277 | /Bioinformatics2/week2/PairedComposition.py | a5d8041bf1dd2473cbe78f5e09b91f21acc8c8b0 | [] | no_license | zssasa/Bioinformatics | fab02b503ae8063090c0a46bf90c899bc59b3dd4 | 4cfe5234b46d4ad7e84f4a90aa07a6e7b93666c2 | refs/heads/master | 2020-04-02T08:05:40.102613 | 2016-07-30T14:32:37 | 2016-07-30T14:32:37 | 62,781,709 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | # -*- coding: utf-8 -*-
__author__ = 'zhangsheng'
def PairedComposition(text, k, d):
result = []
for i in range(len(text)-2*k-d+1):
result.append([text[i:i+k],text[i+k+d:i+2*k+d]])
result = sorted(result)
return result
if __name__ == '__main__':
text = 'TAATGCCATGGGATGTT'
k = 3
d = 2
s = PairedComposition(... | [
"814950812@qq.com"
] | 814950812@qq.com |
0144b7ac8a7b779fff14f402809e08641264f959 | b9c0946e13675e6579d0320baa81a088e6bc2d5e | /HospitalManagementapp/views.py | b994a8db437a58bdc66a5f466f80dbd127465261 | [] | no_license | ashishchauhan1234/HospitalManagement | 75df214b08db718d46b106754bcd125b6cb829db | 97efcbb01d21a399c3c18e25deec5ab085183685 | refs/heads/main | 2023-06-16T03:11:13.844967 | 2021-07-13T19:38:16 | 2021-07-13T19:38:16 | 384,480,971 | 0 | 0 | null | 2021-07-12T10:28:37 | 2021-07-09T15:37:21 | HTML | UTF-8 | Python | false | false | 29,352 | py | from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.urls import reverse
from django.views.decorators.csrf import csrf_exempt
from paypa... | [
"noreply@github.com"
] | ashishchauhan1234.noreply@github.com |
48cebb7680cd04cef78846c1efb655e8e84e8dbb | 37433418676b2f1cd0551b5abb27de44d36ca883 | /invoice_module.py | dee8e65a246ac09dd560a0fe271727a89053e7cb | [] | no_license | aarcha123/pyplayground | 3c00c2cfb3952cd28f8bda64e1eb2496d80128c9 | 7f93735c2114c5f4508cb0f3d506531ddc09811d | refs/heads/master | 2020-03-19T05:54:13.871139 | 2018-06-27T19:14:36 | 2018-06-27T19:14:36 | 135,972,736 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,273 | py | import sys,getopt
import pandas as pd
import numpy as np
from sklearn import model_selection
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from sklearn.feature_selection import RFE
import math
import pickle
lr_model_file = 'lr_model.sav'
model = None
X_test = None
Y_t... | [
"aarcha.nair@gmail.com"
] | aarcha.nair@gmail.com |
6e741735016928b167410e4c77d3bc6b0f51ca10 | c86c05e79075ef9bfb37f99d94adc1f706a1569c | /tesdloo/src/KMP.py | f8bb4e5a9c766136619c811fe9a37315a4e54147 | [] | no_license | arfaghif/Word-Searching-on-file---flask | a258ab032f96165ed19a2a035319dd4cfadcb541 | 06b34fde5a4e623df9acb8af78d7cfdf489fc11f | refs/heads/master | 2022-04-21T17:21:06.171273 | 2020-04-22T05:19:36 | 2020-04-22T05:19:36 | 257,787,586 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,086 | py | def KMPSearch(pat, txt):
M = len(pat)
N = len(txt)
lps = findArrayLPS(pat) #cai lpsnya terlebih dahulu
j = 0 #index penggeseran pat
i = 0 # index penggeseran txt
while i < N:
if pat[j].lower() == txt[i].lower():
if(j==M-1):#sudah menemukan yang sesuai
re... | [
"52845090+arfaghif@users.noreply.github.com"
] | 52845090+arfaghif@users.noreply.github.com |
ecc765eb41a1d612d5995a7ce9f399159e82aa23 | 7c5fb33929116bb77b438de3ead93b3978b5af71 | /alf/examples/ppo_rnd_mrevenge_conf.py | 0bc0a4ca8c4e71621119b9eb61da912539881928 | [
"Apache-2.0"
] | permissive | HorizonRobotics/alf | d6dac891322a81ccb7e2a9749139627b1eda28cb | b00ff2fa5e660de31020338ba340263183fbeaa4 | refs/heads/pytorch | 2023-08-21T18:51:41.370566 | 2023-08-16T00:07:22 | 2023-08-16T00:07:22 | 178,459,453 | 288 | 57 | Apache-2.0 | 2023-09-14T20:40:20 | 2019-03-29T18:44:07 | Python | UTF-8 | Python | false | false | 3,875 | py | # Copyright (c) 2021 Horizon Robotics and ALF Contributors. 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... | [
"noreply@github.com"
] | HorizonRobotics.noreply@github.com |
9ae571a71c56c78f4543371dd21be8418092fe0a | 3d19e1a316de4d6d96471c64332fff7acfaf1308 | /Users/P/pannaahmed/ddd-localharvest.py | 4885b26e593534bda9b9eaa3fe5349672326a96e | [] | no_license | BerilBBJ/scraperwiki-scraper-vault | 4e98837ac3b1cc3a3edb01b8954ed00f341c8fcc | 65ea6a943cc348a9caf3782b900b36446f7e137d | refs/heads/master | 2021-12-02T23:55:58.481210 | 2013-09-30T17:02:59 | 2013-09-30T17:02:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,276 | py | import re;
def remove_html(string):
return re.sub("<.*?>", "", string)
def clean(string):
return safestr(final_clean(strip_non_text(remove_html(string.strip()))))
def strip_non_text(string):
return re.sub("\n|\r|&\w{3};|<.*?>",",",string)
def final_clean(string):
return re.sub("[, ]{2,10}", ",", str... | [
"pallih@kaninka.net"
] | pallih@kaninka.net |
223113bd3170bdf050e52260e3ebcd3425d47b41 | 3a28b1a12d0710c06f6360381ad8be6cf3707907 | /modular_model/triHPC/triHPCThermo/HPCAllTrays23CstmLiqO2.py | f0d1e9e2b4629bdff6dd6da191e1906279a26d37 | [] | no_license | WheatZhang/DynamicModelling | 6ce1d71d3b55176fd4d77a6aedbaf87e25ce4d02 | ea099245135fe73e8c9590502b9c8b87768cb165 | refs/heads/master | 2020-06-15T14:12:50.373047 | 2019-07-05T01:37:06 | 2019-07-05T01:37:06 | 195,319,788 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py | def LiqO2(P,T,x_N2):
x = (P-5.50184878e+02)/3.71707400e-01
y = (T--1.77763832e+02)/1.81029000e-02
z = (x_N2-9.82399475e-01)/2.41594433e-03
output = \
1*-8.96045078e+00+\
z*9.17331761e+00+\
y*9.40865318e+00+\
x*-4.59810291e+00
x_O2 = output*9.91253363e-04+3.46966193e-03
return x_O2 | [
"1052632241@qq.com"
] | 1052632241@qq.com |
00697132bb7c42e21763aab73b74b5b170bfc996 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03221/s034094237.py | b644de8c875a571cb205b5a1bf2d7b195b08966a | [] | 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 | 362 | py | from collections import defaultdict
N, M = map(int, input().split())
IPY = []
for i in range(1, M + 1):
p, y = map(int, input().split())
IPY.append((i, p, y))
IPY.sort(key=lambda ipy: ipy[2])
ids = {}
nums = defaultdict(int)
for i, p, y in IPY:
nums[p] += 1
ids[i] = '{:06d}{:06d}'.format(p, nums[p])
f... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
6b45be762da585386e265b8716c3bad5e87ae5fe | 39a9bfc535f798602a83ea73df7eb61f4508a433 | /Simple_file_encryption.py | 0158e70e27b9980fb23aa75aaacafc49b852c735 | [] | no_license | jalaj-pathak/FIle_encryptor_and_hash_calculator | 6f2707c49bacf1b73b08ca5329b0b118955d1057 | 6ef4a3891a0dc82fb6043ac52efab8032d9c72a4 | refs/heads/main | 2023-07-19T00:11:12.220231 | 2021-09-11T17:26:16 | 2021-09-11T17:26:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,389 | py | import os
import os.path
import hashlib
def encrypt_file():
filename = input("Enter the path to the file: ")
key = int(input("Enter the key: "))
if (os.path.isfile(filename)):
with open(filename, 'r') as file:
result = ''
lines = file.read()
f... | [
"noreply@github.com"
] | jalaj-pathak.noreply@github.com |
ed9ad77c25f12d502802ce77047e6aa0de6946c7 | 07539ecbcee0488ce4a0eb779583da3149cfac7b | /amonone/web/apps/settings/views/servers.py | de80a5b486c46ee332a81ed6ad1aa596bd63e64c | [
"MIT"
] | permissive | outbounder/amonone | e151584ac38222b40c314d586ebadc4e0f43fce1 | 985fa147c1d98a4f57ff33ebd37ca0d938fe674d | refs/heads/master | 2020-12-25T13:33:46.425826 | 2013-07-11T08:54:32 | 2013-07-11T08:54:32 | 11,389,227 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,224 | py | from formencode.validators import Invalid as InvalidForm
from tornado.web import authenticated
from amonone.web.apps.core.baseview import BaseView
from amonone.web.apps.alerts.models import alerts_model, alerts_group_model
from amonone.web.apps.core.models import server_model
from amonone.web.apps.settings.forms impor... | [
"martinrusev@zoho.com"
] | martinrusev@zoho.com |
1a5d2b15ad5333a6df92322bd5e48acfc8d40367 | 598b71f99a13a6a124d30617157e1a84dacacaf3 | /deploy/urls.py | ada8e0ee3d2aa8452b76cb9ce3883971c1747fd3 | [] | no_license | Ashutosh1997/iris-flower-reg | 1cada2f547278c1df677777d4e88a502b5777749 | c2c2f0acefc135011383fcfd95fdcd3d27a14913 | refs/heads/main | 2023-03-30T17:31:02.172808 | 2021-03-24T15:47:33 | 2021-03-24T15:47:33 | 351,132,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 862 | py | """deploy URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | [
"Ritikmshr1@gmail.com"
] | Ritikmshr1@gmail.com |
10c688c854546fc06fce743d8e6fa86f451a8964 | 4a8bfa3407aa98a04ede3162f85467b1b5012fe7 | /tests/test_api/test_methods/test_send_document.py | 69fbd458e86e5b98614e54eb0e7f81a108d9f7d2 | [] | no_license | aiogram/tg-codegen | 07ec80814eec46f464d2490fd27b7b6b27257f1b | ba3c2f893591d45dda418dd16e0646e260afdf14 | refs/heads/master | 2022-12-09T10:44:10.781570 | 2021-11-07T23:33:25 | 2021-11-07T23:33:25 | 218,523,371 | 24 | 5 | null | 2022-12-08T08:47:43 | 2019-10-30T12:33:21 | Python | UTF-8 | Python | false | false | 1,021 | py | import pytest
from aiogram.api.methods import Request, SendDocument
from tests.mocked_bot import MockedBot
@pytest.mark.skip
class TestSendDocument:
@pytest.mark.asyncio
async def test_method(self, bot: MockedBot):
prepare_result = bot.add_result_for(SendDocument, ok=True, result=None)
respon... | [
"jroot.junior@gmail.com"
] | jroot.junior@gmail.com |
2b85533b105f783711b789a2daccbab5b3cc2db7 | 813cd4c92fd1257bb26d214d49cf3083ddd57ebe | /dashboard/model/flask_utils.py | 4e2bc23bc62381f779dcb03d1b380fa2bf272396 | [] | no_license | vkous/simple_dashboard | 7d204aba10d8714ba5cc2e49e15cb17b047376b9 | 9e2718c98af2a7449eb0d39b8b469e2d78d2e244 | refs/heads/main | 2023-02-12T01:34:03.716322 | 2021-01-17T23:10:28 | 2021-01-17T23:10:28 | 326,380,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,285 | py | from flask import(
current_app as app,
request,
url_for,
redirect,
render_template,
session,
g
)
import os
import json
def redirect_to_last_page():
last_page_url = request.referrer
if request.referrer is not None :
if (len(request.referrer.split('?')) == 1) | (request.refe... | [
"vk@vk.com"
] | vk@vk.com |
74649ca75f11649222b2dec6cad27c8abea4cc22 | 8feba89f89258b51d53914d060b384aceaa4f6d3 | /09.ml/svm_mnist_hog_train.py | 22bdbc3936f787911175fddbb473657e8cb6536b | [] | no_license | dltpdn/insightbook.opencv_project_python | e35f2738da5ea07d4b8efe0bbb759e4e4f4bcd6c | 4f62bc4d084acf575c9f6bfa6d429772072a09bc | refs/heads/master | 2022-08-20T14:54:51.296781 | 2022-07-31T04:24:56 | 2022-07-31T04:24:56 | 174,243,667 | 64 | 65 | null | null | null | null | UTF-8 | Python | false | false | 2,288 | py | import cv2
import numpy as np
import mnist
import time
# 기울어진 숫자를 바로 세우기 위한 함수 ---①
affine_flags = cv2.WARP_INVERSE_MAP|cv2.INTER_LINEAR
def deskew(img):
m = cv2.moments(img)
if abs(m['mu02']) < 1e-2:
return img.copy()
skew = m['mu11']/m['mu02']
M = np.float32([[1, skew, -0.5*20*skew], [0, 1, ... | [
"rainer@swMBA.local"
] | rainer@swMBA.local |
096d5b2af4ddd18259a0e430d08101383c5666d6 | 8dcd3ee098b4f5b80879c37a62292f42f6b2ae17 | /venv/Lib/site-packages/pandas/tests/indexing/multiindex/test_ix.py | 76d710dfe9a915da57ca20003f1a5f095129c32d | [] | no_license | GregVargas1999/InfinityAreaInfo | 53fdfefc11c4af8f5d2b8f511f7461d11a3f7533 | 2e4a7c6a2424514ca0ec58c9153eb08dc8e09a4a | refs/heads/master | 2022-12-01T20:26:05.388878 | 2020-08-11T18:37:05 | 2020-08-11T18:37:05 | 286,821,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,067 | py | import numpy as np
import pandas._testing as tm
import pytest
from pandas import DataFrame, MultiIndex
from pandas.errors import PerformanceWarning
class TestMultiIndex:
def test_frame_setitem_loc(self, multiindex_dataframe_random_data):
frame = multiindex_dataframe_random_data
frame.loc[("bar", "... | [
"44142880+GregVargas1999@users.noreply.github.com"
] | 44142880+GregVargas1999@users.noreply.github.com |
435b28f935245fd044ae7e200217e9f90ae3bf8e | 34bb078fef4919c19e064d67919860f572eb42eb | /Chapter 3/3-3 MNIST without CNN.py | e146048a7927db49ebde30e7b825ba20dc36fa4d | [] | no_license | JYang17/MyTensorflow | 9d0388067ff02b7f62d2f740cc27ef2744fe8454 | ab9f61fee952e7b3d8b88c98568726cfe016c825 | refs/heads/master | 2020-03-17T22:56:49.243342 | 2018-06-05T10:14:05 | 2018-06-05T10:14:05 | 134,024,433 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,531 | py | #https://www.bilibili.com/video/av20034351/?p=9
#不使用卷积神经网络的MNIST
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
#import numpy as np
#载入数据集
#one-hot：将标签转化为的某一行，某一位是1，其他位都是0的形式
#"MNIST_data"创建一个当前程序路径下的文件夹，下载存放MNIST图片数据，也可以用绝对路径
mnist = input_data.read_data_sets("MNIST_data",one_hot... | [
"yangzhe1122@sina.com.cn"
] | yangzhe1122@sina.com.cn |
7b687e9b543e4caf4e638199a82a10f413f00b95 | 10608dc311d410e86884a652dd8ff7e100891144 | /CW/CW2015.py | 5385db5e748b145580b64094444435307e123215 | [] | no_license | Chabo17/LegacyCode | da995abd2e835495dec0866a54269690f6760280 | 3455a65e4f8b31e1c9f0d7260e55d71c3c148999 | refs/heads/main | 2023-08-18T05:24:49.376947 | 2021-09-20T15:39:40 | 2021-09-20T15:39:40 | 408,500,555 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,517 | py | import sys
from collections import Counter
from matplotlib import pyplot as plt
def Prob7(text):
pval=[]
rval=[]
for ln in text:
if float(ln) != 0:#finds the p val and r val
p=float(ln)
pval.append(p)
rval.append(p**(2/3))
plt.plot(pval,rval,marker='o',color='blue',linestyle='')#plots all of... | [
"noreply@github.com"
] | Chabo17.noreply@github.com |
f5b3b649e526059fc48bdfb670b92c747302094c | 080c05a5f2fe455d8b8227d71f514f647f847799 | /functions/reduced_oa_blocks.py | b6df3399b45b7396060b8eb294135895444c4e3a | [] | no_license | nevenaf/OAs | b5554e2ad3ef744b7cc54019ee46baf4ab065c6d | a1c29dee72067a231548f693d6d6b98925a4ea3d | refs/heads/master | 2021-01-10T07:09:22.039019 | 2015-09-30T09:37:35 | 2015-09-30T09:37:35 | 43,422,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,348 | py | from itertools import combinations, permutations
def is_non_decreasing(seq):
n = len(seq)
for i in range(n):
for j in range(i+1,n):
if seq[i]>seq[j]:
return False
return True
def get_rows(k,n):
order_of_row = {}
row_of_order =[]
idx = 0
row = [0 for... | [
"nfrancetic@gmail.com"
] | nfrancetic@gmail.com |
62ddbd35dc33aa67364519ced4c59b35d415f98f | 7d2d96dab56c03bf99cb8de0712eb9bc2a67d9cc | /genetic-alg-sampling/load_cflux_masked.py | a467d3b474c709a90260f7fe33f2571162b90f48 | [] | no_license | nicholaschris/masters_thesis | abe892077f692a532e50514427d7b27f8bd65196 | 15cf8e7e2a83a7642ba6672a877dbb65ec8279f5 | refs/heads/master | 2020-05-27T03:21:16.142351 | 2013-04-03T10:52:43 | 2013-04-03T10:52:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,381 | py | #!usr/bin/python
# ~/Desktop/ga-session-2012-11-12/load_cflux_masked.py
'''This module loads the cflux netcdf file
or any netcdf file that needs to be masked.
'''
import numpy as np
from numpy import ma
from scipy.io.netcdf import netcdf_file
import os
cflux_5day = ''
cflux_daily = ''
dpco2_daily = ''
pco2_daily =... | [
"nicholaschristopherpringle@gmail.com"
] | nicholaschristopherpringle@gmail.com |
b71f3d3ff286e0d4311404d1ab8a0fde533ae2e0 | 44d4a051663179ddf4a87ef607070e8abed1b94f | /crab/run_getLumis.py | 717f627277f6a30fc4e8d83eaf7b711b471d14a5 | [] | no_license | mbandrews/h2aa | 458471abd90dc2a80d13ad2d2428cc0567d58c89 | de1549d472f0b815236598c9676c27719b949e67 | refs/heads/master | 2022-12-09T22:08:21.235484 | 2022-12-08T03:44:58 | 2022-12-08T03:44:58 | 232,382,628 | 0 | 1 | null | 2022-12-08T03:44:59 | 2020-01-07T17:49:35 | Jupyter Notebook | UTF-8 | Python | false | false | 7,017 | py | from __future__ import print_function
from Utilities.General.cmssw_das_client import get_data as das_query
from FWCore.PythonUtilities.LumiList import LumiList
import os, re, glob, shutil
import numpy as np
import subprocess
input_campaign = '06Sep2020_AODslim-ecal_v1' # data,h4g,hgg, DY2016
#input_campaign = '28Dec20... | [
"michael.andrews@cern.ch"
] | michael.andrews@cern.ch |
5b4a97a204e541bf334a7db0e8b19738b970caa2 | 44e2977cd3205a17c7a861f034dcb1ab828f9ba0 | /arret.py | bed0d44b5222662975bd796ea78681cfe87c0475 | [] | no_license | bedaigiraneza/Algorithme-d-itineraire | 33ff041f9311902e6531ba1a56c9efad9d4b4026 | 2aa92aee2d51987849b1fd35ba5941173e182c52 | refs/heads/master | 2020-04-23T04:08:03.826137 | 2019-02-15T17:06:01 | 2019-02-15T17:06:01 | 170,899,378 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 302 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 25 12:08:05 2019
@author: igiraneb
"""
class Arret:
def __init__(self, nomArret):
self.name = nomArret
# ================================================
def getName(self):
return self.name
| [
"noreply@github.com"
] | bedaigiraneza.noreply@github.com |
64a6d3b2e5aa8f4603538b235f00b632dbf05da5 | 491cde2db8a04f8c83c358ac09464412e7744c97 | /experiments/utilities.py | 3b4f35842ba944ec6d6d8991b7b2096056f1895f | [
"MIT"
] | permissive | ashah044/poisoning-clustering | 4811823a0c606d46f7e8dbba99398012fb63e758 | 288608f87f02d43589e0983b31ce6f2bd18b8814 | refs/heads/main | 2023-01-06T00:02:37.553596 | 2020-10-23T14:22:52 | 2020-10-23T14:22:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,899 | py | import numpy as np
import torch, random, os
from sklearn.metrics import (
adjusted_rand_score,
normalized_mutual_info_score,
adjusted_mutual_info_score,
)
class ClusteringWrapper3Dto2D:
def __init__(self, model):
self.model = model
def fit_predict(self, X):
"""
Since X has s... | [
"cina.antonio1995@gmail.com"
] | cina.antonio1995@gmail.com |
682a53ec7edd1b3b8745643e293763068ef80790 | 3bea1fd18eaa26d13225d30b28f6ef9794827c12 | /mysite/polls/apps.py | 3a3d341da90c0824d7c835c6c7b8e23007c0490d | [] | no_license | norlyakov/django_learning | e6887d491a6a4fe2424b5e0cc8c99109b8df7e0a | 57d2881c8805a4199520fe1fc123c0d6289f8b68 | refs/heads/master | 2023-04-30T07:33:30.635955 | 2019-11-26T15:07:42 | 2019-11-26T15:07:42 | 223,581,346 | 0 | 1 | null | 2022-04-22T22:48:22 | 2019-11-23T11:58:24 | Python | UTF-8 | Python | false | false | 155 | py | # -*- coding: utf-8 -*-
"""
:Authors: norlyakov
:Date: 23.11.2019
"""
from django.apps import AppConfig
class PollsConfig(AppConfig):
name = 'polls'
| [
"norlyakov@asdco.ru"
] | norlyakov@asdco.ru |
86b4ae02b26ad4834670f72d71b737c1ab20447f | 669b788991f28ee6949432642ba5d85096a6f3e5 | /app.py | a5703d9f0888cb99bc16f97b2d6c792c257fb6a1 | [] | no_license | Adrianna87/flask-survey | 56f10902c02dc236847f64c3cf9cb0a01d28434e | 60325e7b074c3bb3e00927b5df95ca31f80b436e | refs/heads/main | 2023-06-24T12:13:39.739277 | 2021-07-22T14:39:24 | 2021-07-22T14:39:24 | 388,494,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,369 | py | from flask import Flask, request, render_template, redirect, flash, session
from surveys import satisfaction_survey as survey
RESPONSES_KEY = "responses"
app = Flask(__name__)
@app.route("/")
def show_survey_start():
return render_template("survey_start.html", survey=survey)
@app.route("/begin", methods=["POST... | [
"adriannam@workmail.com"
] | adriannam@workmail.com |
1b9d368787014856bd07466ca12d10c3526d8068 | e5869ffd5cef2465c1cb85f69e8f194a98333f7b | /dbrb6.py | 62c03c00afcc0a53aca841a2da513fa37617cef3 | [] | no_license | samikabir/JointOptimizedDisjBRB | a71665f3027750540b2692ea3ebaf86a842a7d80 | 055a858942a6739df42ccb9f736e142c02790597 | refs/heads/master | 2020-05-29T21:45:21.007389 | 2019-05-30T10:14:34 | 2019-05-30T10:14:34 | 189,391,281 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 20,746 | py | #PM_H = 500.4
#PM_M = 35.5
#PM_L = 0.0
AQI_H = 500.0
AQI_M = 101.0
AQI_L = 0.0
numberOfAntAttributes = 2
#relativeWeight = 1.0
cbd_0 = 1.0
cbd_1 = 0.0
cbd_2 = 0.0
cbd_3 = 0.0
cbd_4 = 1.0
cbd_5 = 0.0
cbd_6 = 0.0
cbd_7 = 0.0
cbd_8 = 1.0
aqi1 = 1.0
aqi2 = 1.0
aqi3 = 1.0
aqi4 = 1.0
aqi5 = 1.0 ... | [
"noreply@github.com"
] | samikabir.noreply@github.com |
44c4ae1504cb9383fdc583226306490178d8f514 | 08d59232fec474afe8bf20fcd6b35dc89638720c | /madird-air-quality-evaluation/code/analyze-rnn-results.py | 9ec0a2e3261f20699c182dc9e2647be7c98524c6 | [] | no_license | jamaltoutouh/urban-health-no2-experiments | d91999e69ee21a14570f91eefbf9445ca79b4f18 | a51b01ed6adafd87a4a3ac661a1270b1cdff6a31 | refs/heads/master | 2021-01-15T02:12:40.620348 | 2020-02-25T23:19:25 | 2020-02-25T23:19:25 | 242,844,934 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,068 | py | import random
import sys
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.figure import figaspect
import seaborn as sns
import glob
import scipy.stats
from sklearn.linear_model import LinearRegression
from scipy.stats import shapiro
from statistics import mean
from scipy.stats ... | [
"toutouh@alfad1812.csail.mit.edu"
] | toutouh@alfad1812.csail.mit.edu |
9ab0fdbb526d963d7c90bf9dd6662f3bcd222495 | 5caee0aea844d1024dadb1a3a551ed347c4ce534 | /Amazon_interview/lowest_number_removing_n_digits.py | 0a54a7cf8e2e15a1486fcaf2e5e1dbfb285e5659 | [] | no_license | Shikhar0907/Algo-and-data-structure-questions | 840c004acb93d7f97615d87fc8c69d73434b380d | 27d24cd18a9878cb59a81ef8b39aa4e31d8b8a7a | refs/heads/master | 2020-03-27T18:28:52.707843 | 2018-11-02T05:08:19 | 2018-11-02T05:08:19 | 146,924,651 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | def remove_n_digits(arr,n,res):
if n ==0:
res = res + arr
return
l = len(arr)
if len(arr) <= n:
return
min_point = 0
for i in range(len(arr)):
if arr[i] < arr[min_point]:
min_point = i
res = res+arr[min_point]
new_str = arr[min_point+1:l-min_point]... | [
"shikharsuman59@gmail.com"
] | shikharsuman59@gmail.com |
087243b55df2646274a5808accd1290346960684 | 33ffb5ee0b9160210857a610516c6af76f4fbf7f | /expense_report/migrations/0001_initial.py | 07f820e9e5f2b732a6782b8b40ed4a08d85c0331 | [] | no_license | vince015/Memorial-Park-Management-System | 7d366a05ff4dee1e0e37e394f704e23d89a2f66c | 5ef02df56a87457d49254da241735e08cb4d1484 | refs/heads/master | 2021-08-10T15:29:02.666898 | 2018-11-13T14:40:26 | 2018-11-13T14:40:26 | 143,298,254 | 1 | 0 | null | 2021-06-10T20:42:43 | 2018-08-02T13:26:20 | HTML | UTF-8 | Python | false | false | 2,508 | py | # Generated by Django 2.0 on 2018-11-03 07:40
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Expense',
fields=[
... | [
"vincetapang@gmail.com"
] | vincetapang@gmail.com |
63b3c6d7dce8fd65cd3e00c6622f9d68091d0507 | 0e3d7a350a2b1b962f7308ba369398f3e4c539a0 | /HaxballParser/__init__.py | 995f4704f37b39ebe0cf89ef36fd2eefcf6f2f63 | [] | no_license | jalm10/HaxballParser | 370d4fbf1754a79a2a5f17e00b474286a805154a | c53ff6677de97c2bb34f088827dc0bd734a714de | refs/heads/master | 2020-06-04T22:39:36.682511 | 2016-01-08T17:25:05 | 2016-01-08T17:25:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | from .dumper import dump
from .utils import * | [
"ivanfelicianox@gmail.com"
] | ivanfelicianox@gmail.com |
8c07529f651c18ec4baeaf8196c9089dc669994a | 2b9dfbb89d197f0318edc9f78e9d0e6cbcf3e68f | /supervisor/resolution/evaluations/base.py | 30d14714d93ca280cdf87440cb6bb7683263bd38 | [
"Apache-2.0"
] | permissive | fredrike/hassio | ea26a9a8e5c321ee5368fa75c1ce183cad499c29 | 1df447272eb8f1d891530acf91f43320361d6811 | refs/heads/dev | 2023-03-20T12:22:07.248308 | 2020-12-18T20:42:42 | 2020-12-18T20:42:42 | 183,160,796 | 1 | 0 | Apache-2.0 | 2023-03-06T06:58:11 | 2019-04-24T06:16:38 | Python | UTF-8 | Python | false | false | 1,780 | py | """Baseclass for system evaluations."""
from abc import ABC, abstractmethod, abstractproperty
import logging
from typing import List
from ...const import CoreState
from ...coresys import CoreSys, CoreSysAttributes
from ..const import UnsupportedReason
_LOGGER: logging.Logger = logging.getLogger(__name__)
class Eval... | [
"noreply@github.com"
] | fredrike.noreply@github.com |
a5e3b8c4b09c96202874b0d917b89981cd95ae34 | 8dd926fcbff258a5f03b414581bad5848e5e8ad7 | /service/app/models.py | 39f53e2409f38fccf8c07e5567c26c7db19a833b | [] | no_license | xxl4tomxu98/Benchmarking_Engineers_Full_Stack | ab1d4c74430607b30d259a941af76298e16b6e0c | d633f2ea1ec63336e4d1de2778c170be07a71c07 | refs/heads/master | 2023-02-28T04:27:56.279633 | 2021-02-06T19:31:02 | 2021-02-06T19:31:02 | 334,595,031 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 787 | py | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class Company(db.Model):
__tablename__ = 'companies'
id = db.Column(db.Integer, primary_key=True)
fractal_index = db.Column(db.Numeric(4, 3), nullable=False)
records = db.relationship("Record", back_populates="company")
class Record(db.Model... | [
"tomxu@udel.edu"
] | tomxu@udel.edu |
5d7b482c75e3fba9a743f187bf5e02f5cc8bddf2 | b80a6aa13a1928dc320c1edd6b186bcb2dcc63ce | /core/nodeLibrary.py | 1e9853b9bcae8f668c16af28a65cecd4f383943e | [] | no_license | walternate/meShaderEd | 225e6998f8b5ccd03311ed750bbf08482fed6651 | faf8e5ba028cbb12c9cb3a107263469999049905 | refs/heads/master | 2021-01-24T01:00:30.265664 | 2012-07-19T16:22:20 | 2012-07-19T16:22:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,867 | py | #===============================================================================
# nodeLibrary.py
#
#
#
#===============================================================================
import os, sys
from PyQt4 import QtCore, QtGui, QtXml
from PyQt4.QtCore import QDir, QFile, QVariant
from PyQt4.QtGui import QStanda... | [
"Yuri.Meshalkin@gmail.com"
] | Yuri.Meshalkin@gmail.com |
47083e5f84b754fc1c05b38d3675fee1b760ae9f | a5669790b3809e10ec7016d66981f915b47a166c | /scripts/collect_lang_stats.py | 33064bb2fe3e96764cb14480e3c8c3b262b4f8b9 | [
"MIT"
] | permissive | jxhe/cross-lingual-struct-flow | ca9c45983316a83b0ac1bd88b9ed76e47ce976dc | 8fb90fef4f6fcd79c42fc6aefec5418ca5e54833 | refs/heads/master | 2023-06-28T14:53:45.503938 | 2020-12-03T03:28:53 | 2020-12-03T03:28:53 | 158,045,710 | 25 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,265 | py | """
This script collects language statistics from UD treebank dataset
"""
import os
from io import open
from conllu import parse_incr
lang_stats = []
for root, subdirs, files in os.walk("ud-treebanks-v2.2"):
train_flag = False
valid_dir = False
for fname in files:
if fname.strip().split('.')[-... | [
"junxianh2@gmail.com"
] | junxianh2@gmail.com |
a0149391f5831cb229256d024b17784f97c94ccb | 740c363ddf8ea6e9a37862503db076ace7783664 | /testing/test_calc.py | 800e3db007b0f6dca8698cdd0337e00ffaddc8f3 | [] | no_license | gaoxue12350/pytest_excise | a864a5ceded97f6e09ddbee1b4b8050af8ee7e7b | 59dd0236246b429e97a715bd34386191ad8cbdc8 | refs/heads/master | 2023-01-04T17:36:49.866637 | 2020-10-29T11:12:28 | 2020-10-29T11:12:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,536 | py | import pytest
import yaml
def get_datas():
with open("./datas/calc.yml") as f:
datas = yaml.safe_load(f)
add_datas = datas['add']['datas']
add_ids = datas['add']['ids']
sub_datas = datas['sub']['datas']
sub_ids = datas['sub']['ids']
mul_datas = datas['mul']['datas']
mul_ids = datas... | [
"973140551@qq.com"
] | 973140551@qq.com |
754e900ec3ae5f4d33dddc2eb01eedef2b442d05 | a53532e28a8c7ecc3b683e66cc2af0a5fcf135f4 | /Code/bookmanager/bookmanager/settings.py | 52d51cd8168d9d78917fd27ceeb25b2bdc30f3a0 | [] | no_license | 1015600087/cuitingting | b4b754e2f311a67469e6b6db6911c1107ecf8b84 | 097341675561e965256bd7c5fd47870d476715c1 | refs/heads/master | 2023-02-09T06:20:52.995122 | 2020-12-30T14:18:01 | 2020-12-30T14:18:01 | 323,898,087 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,187 | py | """
Django settings for bookmanager project.
Generated by 'django-admin startproject' using Django 2.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import o... | [
"1015600087@qq.com"
] | 1015600087@qq.com |
d55e42d699b32c5fd39e7695c09027af0919048a | 741568a4e5a97478a80acbafb0ea03f2c9c5494b | /labtest/urls.py | 5170c93d469f03528bcb09d7052373606b2db618 | [] | no_license | Viswa1999/EAD-Lab-Test2 | 9d34155583f479b512dadcff9cba901d9036a8fa | 5c964bf688a5d47ab6874e436d395d80d6580c9f | refs/heads/main | 2023-06-26T17:27:39.840864 | 2021-07-20T12:59:20 | 2021-07-20T12:59:20 | 387,791,217 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,389 | py | """labtest URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Cla... | [
"noreply@github.com"
] | Viswa1999.noreply@github.com |
3a8d9df201c08824ce372d8b9123d0ab54a6afbd | db4ecd3108f742fe5944efcb9cce6481088147ff | /keisan2/37.py | 168571e11abd459179c49f32acb59f5c31701fc2 | [] | no_license | Moemoe2358/Data-contest-old | cb7a9d84fa76e7e161be7eb433c79adb16f16683 | ccc00a567bc4a97f2756c4f38d2a6bce612b54bc | refs/heads/master | 2021-06-17T18:38:35.375775 | 2017-04-29T15:06:12 | 2017-04-29T15:06:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,992 | py | # -*- coding: utf-8 -*-
# 長さの分布：[3, 42, 316, 3, 71, 177, 5, 1, 169, 33, 7, 32, 1504]
import numpy as np
import pandas as pd
from sklearn import linear_model
import time
start_time = time.time()
train = pd.read_csv("data3/train.tsv", delimiter = "\t")
test = pd.read_csv("data3/test.tsv", delimiter = "\t")
submit = ... | [
"ryuhouketsu@ryuhouketsu-no-MacBook-Air.local"
] | ryuhouketsu@ryuhouketsu-no-MacBook-Air.local |
e687ecab21b61945bf62fd92120d0df127f08282 | 9fa64b4bcdb1061d08a1898cbccfac979035acb8 | /elit/component/dep/parser/biaffine_parser.py | 3cc50eca4c8964c366953731b73cb5640f2e0d4c | [
"Apache-2.0"
] | permissive | elitcloud/elit | bf11d1acfa235440f1826c27d9dad07ac397c2c2 | 78c00ec098d7626fd29ca49a9aef28950fabfed9 | refs/heads/develop | 2022-07-11T16:40:33.623416 | 2020-02-19T19:39:55 | 2020-02-19T19:40:53 | 72,214,112 | 38 | 6 | NOASSERTION | 2022-06-21T21:06:56 | 2016-10-28T14:23:47 | Python | UTF-8 | Python | false | false | 13,914 | py | # coding: utf-8
# 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... | [
"jfservice@126.com"
] | jfservice@126.com |
ba166e925f28217c4618acca4463a058bf51fb87 | 456c7ca7c0f8d7056abb99c0af659472166896aa | /shorty/core/migrations/0006_auto_20201127_0852.py | 7bdf4e439b5946a6e3bfee854872d6e697e480cf | [] | no_license | MrAmbiG/shorty | 5988842651b551be4f77716bbdfb46f8f3c8e62d | b3da39ab73b6eea16dde25a485980736a25f9789 | refs/heads/main | 2023-02-22T04:42:53.168745 | 2021-01-21T23:17:51 | 2021-01-21T23:17:51 | 316,470,576 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | # Generated by Django 3.1.3 on 2020-11-27 08:52
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('core', '0005_shorties_https'),
]
operations = [
migrations.AlterField(
model_name='shorties',
name='alia... | [
"amd@ubuntuserver-18-x8664.local.lan"
] | amd@ubuntuserver-18-x8664.local.lan |
f5f0aa235873cd336744f8fca21242d7eb9573e4 | 3a14dc7e73b8ab69734f078a8810977250868882 | /catkin_ws/build/bl_group_a/catkin_generated/pkg.develspace.context.pc.py | ce809a93d0cfe7f6c47c8353bbfd6716a9f9e46f | [] | no_license | TianmingQiu/Biologically_Inspired_Learning_for_Humanoid_Robots | a9e6562ae002753fbac107fcbace2b95717e3fc0 | 43691273cb7b5713c51b3af6c0eebd4d2a21b9c7 | refs/heads/master | 2021-01-22T06:23:16.765943 | 2017-09-28T18:20:32 | 2017-09-28T18:20:32 | 92,548,642 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 524 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/biolearning_a/catkin_ws/src/bl_group_a/include".split(';') if "/home/biolearning_a/catkin_ws/src/bl_group_a/include" != "" else []
PROJECT_CATKIN_DEPENDS = "robot_specific_msgs;roscpp;rospy;std_m... | [
"qtianming@hotmail.com"
] | qtianming@hotmail.com |
430b684a53b630a0c16ed80771c9c00fa5114ed3 | 18d5f2166427567401c170584fc0698344d142ca | /server/flaskr/login.py | 6ef9d1f495646a1dfcf6248c9abedcd5cae25be0 | [] | no_license | Jayuses/RPVdb | 01741575da914efe257ce4c458ed3c430325a581 | 9b41073025497c618e7bad5180cefbc214057aba | refs/heads/main | 2023-06-08T09:07:58.752721 | 2023-05-31T03:31:38 | 2023-05-31T03:31:38 | 352,701,184 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,813 | py | #!/RPVdb/server/flaskr/getdata.py
# -*- conding: utf-8 -*-
# 蓝图文件'login',处理前端登录请求
from flask import (Blueprint, request)
from flask import Flask, jsonify
from flaskr.db import get_users
from werkzeug.security import check_password_hash, generate_password_hash
#辅助状态变量
statusdata = {'status':'','class':-1}
bp = Bluepr... | [
"1367435459@qq.com"
] | 1367435459@qq.com |
f41c8ef0c42de09b23f2fdd1ba5d874ab2f6e3ac | eefddeb24d8eb1b0122dc3c783226a9ef23b1c48 | /vKiriroMarketing/settings.py | 9d2d8d97f1e8ad80587a5f74e64ca9bd4fbce977 | [] | no_license | monyoudom/vKiriromMartketing | 1ddfc4668b199d01c76f111e543a021d1273d74d | 3240a96b83407b43b2e4529ab2a37646d50ede74 | refs/heads/master | 2021-05-02T01:46:36.944264 | 2018-02-10T01:25:04 | 2018-02-10T01:25:04 | 120,874,684 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,385 | py | """
Django settings for vKiriroMarketing project.
Generated by 'django-admin startproject' using Django 1.11.5.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
... | [
"thongmonyoudom@outlook.com"
] | thongmonyoudom@outlook.com |
afec826c58124ebffe7ce5d984202b83272b2f34 | dcca0d8581c2d9c5690137e689ffda74dda4b78e | /mysite/core/models.py | 8c2787a965265e3659edc41e0607b98bc9047e63 | [] | no_license | mamkinproger/my-first-site | b9a0d701994feeb2e2c72c6e74bfa52edaec01b7 | d4886c3c7a6b459ba38101528670cee1ce252ac1 | refs/heads/master | 2021-08-31T04:12:29.573978 | 2017-12-20T09:47:29 | 2017-12-20T09:47:29 | 114,870,672 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,698 | py | from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
bio = models.TextField(... | [
"kim_chernov@mail.ru"
] | kim_chernov@mail.ru |
9a8348fbe4665c05c3f40c4871a58afb60e8de78 | 59239e9aecc4b0611cd1f82dad74a13b21c0a97e | /model/train/train_skill_update.py | a77758383594682d02c3c766480cf6a18c43666b | [] | no_license | charlesXu86/FAQ | 53a8160fef2920c1e5005ea4f55a642071986494 | d5e253f44377f63b3af9accd9eab39fc599ed7a7 | refs/heads/master | 2023-01-10T10:45:21.403238 | 2020-11-11T13:40:23 | 2020-11-11T13:40:23 | 278,859,443 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,361 | py | # -*- coding: utf-8 -*-
"""
@Author : Xu
@Software: PyCharm
@File : train_skill.py
@Time : 2020/7/18 10:11 上午
@Desc : 新技能训练
"""
import requests
import json
def train_skill_up(skillId):
"""
:param skillId: 技能ID
:return:
"""
data = {}
url = 'http://47.103.73.160:9... | [
"charlesxu86@163.com"
] | charlesxu86@163.com |
4cb0b660ba917efc4f0d597f4ca7d91d516705e3 | 7f725355c8a95ea3b69b07c1e2e5a9ffc4caf17a | /manage.py | 57444202dc8c52e536b74a92f6e346903ef7fa1e | [] | no_license | taddeimania/nfl_stat_scraper | 1d62ac38b46a7562936c6150103b8eee621ecfc5 | 0b9d0eadb80fd9e7c3e1e0de1c759b2e5659cb6b | refs/heads/master | 2021-01-18T16:35:36.859869 | 2012-11-26T03:29:06 | 2012-11-26T03:29:06 | 6,858,032 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "nfl.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"jtaddei@gmail.com"
] | jtaddei@gmail.com |
1195022dbbe97772e58c428b745a30662179e059 | b3495ba937ec99453bd8f95ced8703e7d8548a95 | /leetcode/IntervalList Intersection.py | 08dc72b2b8a86148458249cad8b9474bf21dea8c | [] | no_license | luoChengwen/Hacker_rank_test | 975a47bde862a33c057883a7f394ea280efece31 | 858cef7b7c01b86c1f771e2b262e931af673cb73 | refs/heads/master | 2021-09-24T18:10:39.215407 | 2021-09-23T07:35:54 | 2021-09-23T07:35:54 | 239,445,087 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 573 | py | class Solution:
def intervalIntersection(self, A, B): # AB are lists
output = []
ai,bi = 0, 0
while ai < len(A) and bi < len(B):
start_A, end_A = A[ai]
start_B, end_B = B[bi]
start = max(start_A, start_B)
end = min(end_A, end_B)
... | [
"lcwdaisy@gmail.com"
] | lcwdaisy@gmail.com |
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