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values | src_encoding stringclasses 20
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value | is_vendor bool 2
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values | content stringlengths 2 6.02M | authors listlengths 1 1 | author stringlengths 0 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73c381a2286a4c3eea64c1b22a9c5b3837ec8992 | deb6f0cb8f18c57de1bb6d31bdee293db7273796 | /DIABETES/urls.py | 2be7a8b7bae42caaeb584d2577d17639a65ff03c | [] | no_license | pratikrj1601/Health-Monitoring-using-Machine-learning | abf722fe1185560fd53e95ff2368f683a807e569 | 046b2e4863d0d64614278870be04727287e6f916 | refs/heads/master | 2023-09-02T03:00:09.308417 | 2021-11-12T12:09:15 | 2021-11-12T12:09:15 | 427,341,028 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 178 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.diabetes, name="diabetes"),
path('/prediction', views.predict, name="predict"),
]
| [
"noreply@github.com"
] | noreply@github.com |
6fa8dff4fc69d605b416ee01c4cf493f73020b64 | 86b4e40a0e9ad265c49e9287af5ebf6d0871987d | /Valid Parentheses/code.py | a99a498bb4d2e4fa2ac3f7b37c221da074ec8ed4 | [] | no_license | Jason-Woo/leetcode_problemset | 52abe06ae554c77213d7cad824310517b64a9fb0 | 8c22875b458dd8720e4c43caf70a0a6c7a5fdb6b | refs/heads/master | 2023-03-27T12:27:52.099188 | 2021-03-10T22:51:58 | 2021-03-10T22:51:58 | 263,157,060 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | class Solution(object): #Atten
def isValid(self, s):
left, right, stack = "({[", ")}]", []
for item in s:
if item in left:
stack.append(item)
else:
if not stack or left.find(stack.pop()) != right.find(item):
return False
... | [
"4everjasonwoo@gmail.com"
] | 4everjasonwoo@gmail.com |
458197f8501b21000576d09954086272fbca03f4 | acd2ce470c68d3f407c9bc022a6d115fdb962713 | /coroutine/iterable.py | b71c2cf5edf996c490b82c866d92ed51d46a6d13 | [] | no_license | wwd-0/python-base | 080ff0065eebc8209b7c4079a44a2726a3c67c63 | c4f900ce7cd735a2f57ebc88cfde7ffcfb437444 | refs/heads/master | 2022-06-26T15:01:29.718456 | 2020-05-10T12:36:09 | 2020-05-10T12:36:09 | 262,716,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 596 | py | #coding=utf-8
from collections import Iterable
import time
class ClassMate(object):
def __init__(self):
self.names = list()
self.current_num = 0
def add(self,name):
self.names.append(name)
def __iter__(self):
return self
def __next__(self):
if self.current_num < len(self.names):
ret = self.names[... | [
"wwd@localhost.localdomain"
] | wwd@localhost.localdomain |
ccfd614cc9917c7b23572f95c1d1f85958ab5721 | d17d407c0e8d05a3cbc1b390e7d1d6f8a4cfe2ad | /rango/models.py | 35d46db39c80a42ee1c0b2dc36bdc55f4387e4bd | [] | no_license | sp6pe/tango_with_django_project | 75400654f8cec0772a2fd32a57f17163f1de1197 | a6cb1cd61e07bd857751bfe8d9689219059f9a76 | refs/heads/master | 2020-07-20T12:43:30.408047 | 2015-07-31T14:17:58 | 2015-07-31T14:17:58 | 39,037,052 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,206 | py | from django.db import models
from django.template.defaultfilters import slugify
from django.contrib.auth.models import User
# Create your models here.
class Category(models.Model):
name = models.CharField(max_length=128, unique=True)
likes = models.IntegerField(default=0)
views = models.IntegerField(default=0)
slu... | [
"sp6pe@virginia.edu"
] | sp6pe@virginia.edu |
c283385eb0e04fff394a718c3a315e144b525bb9 | 35349ee872a16cc1e286c71d09496fc5e383efb5 | /svm_with_csk_svm.py | bfae4faf1bf402a13abcfef1923b6e9ca9cd705b | [] | no_license | aipjn/Dissertation_project | 3593d1e4524dee54f783f4f7eafdd4c8820a8ee1 | 1df15d24a632e092ba8146f885d27c6452f4a4a1 | refs/heads/master | 2020-03-22T22:10:53.872773 | 2018-09-10T00:06:11 | 2018-09-10T00:06:11 | 140,737,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,267 | py | """\
------------------------------------------------------------
USE: Using common sense to update SVM model
------------------------------------------------------------\
"""
import time
from utils.dataset import Dataset
from utils.utils import stemming, vocabulary
from utils.evaluation import Evaluation
from utils.bi... | [
"1058134934@qq.com"
] | 1058134934@qq.com |
ab312889eb22efbe7f28a5feb579980812890a7a | 025eaa18456cebaa08e95b33f6e85474665feb1a | /NSC_Script.py | 47a2093aae048545cdaeefb370f1fa8f34e659f8 | [] | no_license | Rlopezra/NSC-Student-Tracker-Reduction-Script | 3f156179bd4e652a0584b8ba4145e577ee737404 | c13d30ad9335c2961d3d0b9edc402e695a1083ab | refs/heads/master | 2021-09-05T20:38:53.205100 | 2018-01-30T21:31:16 | 2018-01-30T21:31:16 | 111,505,980 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,367 | py | import pandas as pd
#This line loads the csv into a pandas data frame, you'll have to change it to the location of your NSC file
data = pd.read_csv("C:/Users/rjlopez/Desktop/EVC Tracker.csv")
#formatting the dates columns to proper date format, some interpreters will change these columns to a number if we don't form... | [
"noreply@github.com"
] | noreply@github.com |
ede138d3bc51c61545e5ac67a26e7478adae7361 | 3f21aab01358400321d14ea68513f8fd5b2075e9 | /Calculate_Electricity_Bill_Example_1.py | 51c984411b92f145dc5f4d651c4aed9efd6783e2 | [] | no_license | AAKASH707/PYTHON | c3f991f3517259ee0fc14ab68a8b8bb6c01e4b70 | cadb4f4849f4a5e99647d2173cdbb8e953ad038e | refs/heads/master | 2021-03-12T05:44:12.914266 | 2021-03-02T18:18:37 | 2021-03-02T18:18:37 | 246,594,637 | 1 | 1 | null | 2021-01-25T17:48:38 | 2020-03-11T14:33:28 | Python | UTF-8 | Python | false | false | 562 | py | # ********* Python Program to Calculate Electricity Bill *********** #
units = int(input(" Please enter Number of Units you Consumed : "))
if(units < 50):
amount = units * 2.60
surcharge = 25
elif(units <= 100):
amount = 130 + ((units - 50) * 3.25)
surcharge = 35
e... | [
"noreply@github.com"
] | noreply@github.com |
f50b218007abef8fad7e58bf1ef26cba7d9cde1b | c634c8dd46673eed049631c95527a4174a822198 | /ProductionScripts/ConfigFiles/FullSim/DIGI2_cfg.py | b2f38e155310cb34030c2716f4fd4bfec1cb4fb7 | [] | no_license | nicolastonon/EFTSimPheno | ad79bd721a519405b97db83040c6ee8e1cf63e96 | fb6c068611b3b746d72108bf76080297b68b76fd | refs/heads/master | 2023-07-25T08:37:13.170427 | 2021-09-06T16:49:28 | 2021-09-06T16:49:28 | 228,392,657 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,210 | py | # Auto generated configuration file
# using:
# Revision: 1.19
# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v
# with command line options: step2 --filein file:DIGI1.root --fileout file:DIGI2.root --python_filename DIGI2_cfg.py --mc --eventcontent AODSIM --runUnscheduled --datatier... | [
"nicolas.tonon@cern.ch"
] | nicolas.tonon@cern.ch |
2dba7604593e623d6fd2c527a1c032919cf5f2e2 | 5ea45cbeeb59353282bb5bfc070ad3f4b2c4630f | /snippets/views.py | d6372e628b3b5a9b015e51f3f9cef4f320251ae6 | [
"MIT"
] | permissive | tomaszd/rest_django | 4289c7309f83d5e6300062954be00792229f3a5d | 3366406e3d96b6dfe30a5388aba6de0498cabbca | refs/heads/main | 2023-02-11T02:14:48.658417 | 2021-01-09T01:10:10 | 2021-01-09T01:10:10 | 328,037,557 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,699 | py | from rest_framework import generics, viewsets
from rest_framework import permissions
from rest_framework import renderers
from rest_framework.decorators import api_view, action
from rest_framework.response import Response
from rest_framework.reverse import reverse
from snippets.models import Snippet
from snippets.permi... | [
"tomasz.dudziec@redembedded.com"
] | tomasz.dudziec@redembedded.com |
df75da1c4cd20551725bfd015ced8926d141dbca | 62e4030268aa2835a4806864cb70055675724471 | /docs/conf.py | 1016182d33de160fe22db4afafdff318e041a7bc | [] | no_license | aisis/FoxDotCode | 291507fe16f5a56b8fed312827712db213d78e83 | 186175f76873771e13b4aa1fa714201ab98c4efe | refs/heads/master | 2021-01-15T13:35:20.524593 | 2016-03-13T13:16:44 | 2016-03-13T13:16:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,385 | py | # -*- coding: utf-8 -*-
#
# FoxDot documentation build configuration file, created by
# sphinx-quickstart on Sun Feb 21 22:04:59 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# Al... | [
"ryankirkbride26@gmail.com"
] | ryankirkbride26@gmail.com |
49306970580db9ada7e0fe1475f50d1b04f37a57 | b66e43ad7128a62ebbfacc0cce19386e2d273090 | /image_server/get_latest_distro.py | 7d111b27e930a2c4398b7039c98bbdcb1585b417 | [] | no_license | dorkamotorka/ImageBuild | 4e22c26eed40a6dec4650c4145bd45ec3f28e40b | fb99981017cb1692cc442e3460ed519b12ad6061 | refs/heads/master | 2023-08-19T14:31:45.585481 | 2021-10-18T07:27:17 | 2021-10-18T07:27:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,290 | py | #!/usr/bin/env python
import sys
import xmltodict
from urllib.request import urlopen
import os
import subprocess
import dateutil.parser
from os import path
def execute(command, cwd):
proc = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=cwd)
re... | [
"tp4348@student.uni-lj.si"
] | tp4348@student.uni-lj.si |
ee8aad80ea9fe488f536a12acb866395bcbdfc70 | c26dc7928b1facac2c0912f6532076d35c19e835 | /devel/lib/python2.7/dist-packages/cob_object_detection_msgs/srv/__init__.py | 8d01ac1030bab33d482fd8bc39a91912a52446bc | [] | no_license | mattedminster/inmoov_ros | 33c29a2ea711f61f15ad5e2c53dd9db65ef6437f | e063a90b61418c3612b8df7876a633bc0dc2c428 | refs/heads/master | 2021-01-23T02:39:36.090746 | 2017-08-09T02:56:42 | 2017-08-09T02:56:42 | 85,995,826 | 0 | 0 | null | 2017-03-23T20:45:32 | 2017-03-23T20:45:32 | null | UTF-8 | Python | false | false | 309 | py | from ._AcquireObjectImage import *
from ._BaTestEnvironment import *
from ._BagTrainObject import *
from ._ComputeGraspsVacuumGripper import *
from ._DetectObjects import *
from ._SaveRecordedObject import *
from ._StartObjectRecording import *
from ._StopObjectRecording import *
from ._TrainObject import *
| [
"mattedminster@gmail.com"
] | mattedminster@gmail.com |
9184b987dcf3cf5d222de59fba7989facf1216c2 | 72a3c7f7b7b5a4a533fa1b53b03b56630779ab87 | /common/urls.py | f47028742b482f03fd1fd87b8984e253461052ba | [] | no_license | sdarbucks/pyweb | 7cb8b84b909ffa5f5dd86131cd7cfd6c01a565b7 | bfb8c92d65d252d06d05c3b3e01a7d0a63dca59e | refs/heads/main | 2023-08-25T18:58:43.250648 | 2021-10-22T01:54:05 | 2021-10-22T01:54:05 | 415,763,736 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 397 | py | from django.urls import path
from django.contrib.auth import views as auth_views
from . import views
app_name = 'common'
urlpatterns = [
# 127.0.0.1:8000/common/login
path('login/', auth_views.LoginView.as_view(
template_name='common/login.html'), name='login'),
path('logout/', auth_views.LogoutView.a... | [
"kdh797979@naver.com"
] | kdh797979@naver.com |
b6c7bc0863d3be11b0c5fdaf4028d0651061b62a | 3ee0418421955d01558b1c623def251932bcfc01 | /python-examples/marble_sort/write_json.py | b3388c9cc682286c4a2476f1d08641cbb8ddb79c | [
"MIT"
] | permissive | pep-dortmund/mindstorms | 89f426930516155bb75f52b9fdd24a0b64fc0951 | 9e6be52545e21ab8ba3bca7e1b0e64ed2320366d | refs/heads/master | 2021-01-01T19:19:26.508803 | 2017-04-29T11:39:35 | 2017-04-29T11:39:35 | 38,932,641 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 658 | py | from argparse import ArgumentParser
import zmq
import json
parser = ArgumentParser()
parser.add_argument('outputfile')
parser.add_argument('-p', '--port', type=int, default=5000)
context = zmq.Context()
socket = context.socket(zmq.REP)
def main():
args = parser.parse_args()
socket.bind('tcp://0.0.0.0:{}'.fo... | [
"maximilian.noethe@tu-dortmund.de"
] | maximilian.noethe@tu-dortmund.de |
56583f3316a24edddd70b4a0f9c935cbd4ceb946 | 3b79a802f8dd9f26bee0bfde4630ac0cab932803 | /srcSegcls/getEventSegDF.py | b004b92f2a243f693794a4efdb8cca0d07350ef9 | [] | no_license | qolina/Twevent | 87fc4706564088361e9db6ddc44efc10647e67fe | 4b90b0604493b20dee90448c17e0a8e0d557165e | refs/heads/master | 2021-06-24T19:06:02.022882 | 2017-08-15T05:20:09 | 2017-08-15T05:20:09 | 100,341,172 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,338 | py | #! /usr/bin/env python
#coding=utf-8
import time
import re
import os
import math
import cPickle
############################
## load tweetID-usrID
def loadUsrId(filepath):
usrFile = file(filepath,"r")
tweIdToUsrIdHash = cPickle.load(usrFile)
usrFile.close()
return tweIdToUsrIdHash
####... | [
"qolina@gmail.com"
] | qolina@gmail.com |
c85113890b4775751eea8a0787ac818401ea92d5 | c660fdd49861211926a9dac0206d3856002ff2a8 | /smbl/prog/plugins/samtools.py | e203b8094d9a9201ecb7919fbc2f9595a2242875 | [
"MIT"
] | permissive | hermanzhaozzzz/smbl | d493a8b7ecfaf961c7ca7280d94c945a3e4e3b92 | 5922fa2fc4060d86172e991361a1cceb0af51af8 | refs/heads/master | 2021-06-23T11:27:57.869235 | 2017-08-19T02:21:51 | 2017-08-19T02:21:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 754 | py | import smbl
import snakemake
import os
from ._program import *
SAMTOOLS = get_bin_file_path("samtools")
##########################################
##########################################
class SamTools(Program):
@classmethod
def get_installation_files(cls):
return [
SAMTOOLS,
]
... | [
"karel.brinda@gmail.com"
] | karel.brinda@gmail.com |
0d1ed554911585ef093b2a5e0d0b9f8eab5a70c3 | 5962cf5c30d69b4b57d2ec598e11c3a81c6df083 | /old/frontend_mpl_basemap.py | c5619e6296c99f49301064adc4a61433adac319e | [] | no_license | sergeimoiseev/othodi_code | 1584f4006c2bddd8ddbbc6e7439b782c1f93c313 | 87f11374fc1f332752d426af4e047306aefcbd81 | refs/heads/master | 2021-01-10T04:17:45.407696 | 2016-01-26T20:23:59 | 2016-01-26T20:23:59 | 48,580,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,318 | py | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib
# matplotlib.use('nbagg')
# import matplotlib.pyplot as plt
# import matplotlib.cm as cm
# import mpld3
# matplotlib.use('nbagg')
def plot_route(coord_pairs,annotes):
# matplotlib.use('nbagg')
import matplotlib.pyplot as plt
import matplotlib.c... | [
"moiseev.sergei@gmail.com"
] | moiseev.sergei@gmail.com |
243a57f48705fe5f22f30fb80a4ffa1f1e9fcd60 | 81abaf1a5ed956ec22fb1a547dac1624e54e7c30 | /third-party/typeshed/stdlib/2and3/warnings.pyi | 2e95533f7fc16ff0b3a56d7f88e3f703e4099031 | [
"Unlicense",
"MIT",
"Apache-2.0"
] | permissive | joschu/blobfile | 11573372ea4749fdab6ab94421a55796e4cbffdc | 0a534f3ad33ca0ba8f5ab27d3f5e41aec2914883 | refs/heads/master | 2021-07-13T19:08:39.695706 | 2019-11-24T22:41:06 | 2019-11-24T22:41:21 | 224,252,657 | 1 | 0 | Unlicense | 2019-11-26T17:49:09 | 2019-11-26T17:49:08 | null | UTF-8 | Python | false | false | 2,353 | pyi | # Stubs for warnings
import sys
from typing import Any, Dict, List, NamedTuple, Optional, overload, TextIO, Tuple, Type, Union, ContextManager
from types import ModuleType
if sys.version_info >= (3, 8):
from typing import Literal
else:
from typing_extensions import Literal
@overload
def warn(message: str, ca... | [
"48501609+cshesse@users.noreply.github.com"
] | 48501609+cshesse@users.noreply.github.com |
1390212b59f1a609de481080cfa340b8b55b6dfd | b144928d199550e0fd2a0a0a21224e4f463e4bc6 | /src/cmssh/filemover.py | bbc8b2abf265ef902f6c600bfe786fe4a2ff5e37 | [] | no_license | dmwm/cmssh | 84f91ca1bb401dc052dcde1f58f42ecee48a3438 | 0cd6e104185938d21b10b053479e890c9f4f3b57 | refs/heads/master | 2016-09-10T19:13:29.567153 | 2014-03-06T20:45:05 | 2014-03-06T20:45:05 | 2,615,169 | 2 | 0 | null | 2012-11-28T18:24:41 | 2011-10-20T18:23:41 | Python | UTF-8 | Python | false | false | 27,912 | py | #!/usr/bin/env python
"""Filemover cli equivalent"""
# system modules
import os
import re
import sys
import json
import stat
import time
import thread
import urllib
import urllib2
import datetime
from multiprocessing import Process
# for DBS2 XML parsing
import xml.etree.ElementTree as ET
# cmssh modules
from cmssh... | [
"vkuznet@gmail.com"
] | vkuznet@gmail.com |
3ca06b13017075a0b08c397157ed7c355b8b5328 | 5f262dbebb61d8ddd67d4e605fb61c194ef47df8 | /windmill/models/schemas/__init__.py | af299db61f166b36b3980dc4fcfa6a59a5b3b757 | [
"Apache-2.0"
] | permissive | bhavaniravi/windmill | 5d157794c80cc416a122e601c07e1ee40b843b2a | 0bae5c34652d8366f6fff08ff7879d24a76c91b5 | refs/heads/master | 2021-04-04T04:54:31.841580 | 2020-03-23T11:35:22 | 2020-03-23T11:35:53 | 248,425,735 | 1 | 0 | Apache-2.0 | 2020-03-19T06:17:38 | 2020-03-19T06:17:37 | null | UTF-8 | Python | false | false | 25 | py | from . import app_schemas | [
"micsalama@gmail.com"
] | micsalama@gmail.com |
92fd71893fb2c2abeccd87ac9e76f3529a90d3d3 | 145648d14728076d3e9859ee3293b4210d21f67f | /3_lists.py | e73606d28cfdd3b0b792e2e6883113728a85f085 | [] | no_license | ankitmazumder/executeoncommand | 7d1bb9ad402a6840a3b622a7fe1680fc8fb688e6 | 4000d21b87ad4e9540a8714be820983149f70cf8 | refs/heads/master | 2023-08-22T14:47:27.937082 | 2021-09-28T16:33:25 | 2021-09-28T16:33:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,914 | py | list_name = list()
print(list_name)
string_list = ["one", "two", "three"]
print(string_list)
num_list = [1, 2, 3]
print(num_list)
mixed_list = [1, 2, 3, "one", "two", "three", [4, 5, 6], {"key":"value"}]
print(mixed_list)
vegetables = ["Potatoes", "Carrots", "Cauliflower", "Broccoli", "Bell Pepper"]
print(vegetabl... | [
"noreply@github.com"
] | noreply@github.com |
4ffb6ea7c83ee437d39a2753bb202e509645745e | bd0f1da30c87101267fc53386a378f847c9fd0cd | /dbgtype.py | ac3d163a57e746ae58a740154a58b7770644da17 | [
"BSD-3-Clause"
] | permissive | fengjixuchui/LKD | cf2db9bf0023d832a8e9c08982801b4218ce97c1 | f388b5f8c08b7bba2a31c5a16ea64add6cc2dd1a | refs/heads/master | 2020-04-17T02:32:43.294752 | 2015-10-21T13:59:36 | 2015-10-21T13:59:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,741 | py | # # Experimental code # #
# Idea: make 2 type
# One for field (with field name / bitfield / parentclass / etc)
# One for the type above (fieldname.type)
# That have info about array size and co
import struct
from windows.generated_def.winstructs import *
class DbgEngTypeBase(object):
def __init__(self, module, t... | [
"firstname.lastname@sogeti.com"
] | firstname.lastname@sogeti.com |
cd4907ec3488eeaa4af0b6adb78c6fe463d8811d | 4142b8c513d87361da196631f7edd82f11465abb | /python/round135/219A.py | 84c2546d1739cabe735229c97479d28929b9d4e4 | [] | no_license | npkhanhh/codeforces | b52b66780426682ea1a3d72c66aedbe6dc71d7fe | 107acd623b0e99ef0a635dfce3e87041347e36df | refs/heads/master | 2022-02-08T17:01:01.731524 | 2022-02-07T10:29:52 | 2022-02-07T10:29:52 | 228,027,631 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 247 | py | from collections import Counter
k = int(input())
s = input()
d = Counter(s)
res = ''
for t in d:
val = d[t]
if val % k == 0:
res += t * (val // k)
else:
res = '-1'
break
if res != '-1':
res *= k
print(res)
| [
"npkhanh93@gmail.com"
] | npkhanh93@gmail.com |
39404acc2db6c62f24ba2846e40a3ce78fde1adb | 23560875366953541985d881a8f767dca545c718 | /python3-virtualenv/lib/python3.6/site-packages/pip/_vendor/cachecontrol/serialize.py | 4e4baa55963e4cfc3eb1597188278eac7e7b1356 | [
"MIT"
] | permissive | GinaJame/Portfolio_MLH | cffccdfa0e7004afaf8634427b94d64359c1a488 | 541709dcf034ddca885a8b08f9922dc352c113f8 | refs/heads/master | 2023-06-21T00:27:14.795285 | 2021-07-28T01:40:29 | 2021-07-28T01:40:29 | 380,074,076 | 0 | 0 | MIT | 2021-07-28T01:40:30 | 2021-06-24T23:31:24 | Python | UTF-8 | Python | false | false | 7,090 | py | import base64
import io
import json
import zlib
from pip._vendor import msgpack
from pip._vendor.requests.structures import CaseInsensitiveDict
from .compat import HTTPResponse, pickle, text_type
def _b64_decode_bytes(b):
return base64.b64decode(b.encode("ascii"))
def _b64_decode_str(s):
return _b64_decod... | [
"dakshinabp@berkeley.edu"
] | dakshinabp@berkeley.edu |
6f1ae0b6a986c2ed2588756e942fa6923ab9c265 | 3958007e70f061b77c3637024f98dfc8b6187534 | /DataProvider/ModisProvider.py | 8afaedc96a67c2896e392f2aab320ba5a46eb6fc | [] | no_license | lijiao19320/ProjectTransform | d040b02c766db642cb044b0e8d550379da2789d0 | 302a2fb30fa7ae63d2ceb560ab2d1d7fbecb1385 | refs/heads/master | 2020-12-25T22:19:01.756560 | 2016-09-05T02:27:28 | 2016-09-05T02:27:28 | 64,626,631 | 0 | 0 | null | 2016-08-01T01:46:00 | 2016-08-01T01:46:00 | null | UTF-8 | Python | false | false | 10,476 | py | from DataProvider import *
from HdfOperator import *
import types
import numpy as N
from Parameters import *
from natsort import natsorted, ns
class ModisProvider(DataProvider):
def __init__(self):
super(ModisProvider, self).__init__()
self.__AuxiliaryDataNamesList = dict()
self.__HdfFile... | [
"21797lijiao"
] | 21797lijiao |
b7d7f1bc6ee38581a5c6d1a8bdc2310c73124071 | ad8ad2e32f8d83e4ef00bdd78ce475776258702a | /square_sum_recursion_all_variants.py | 0c8081d89c882c4062f4e2f52e4ce295d2fba650 | [
"MIT"
] | permissive | GudniNathan/square_sum | b640255f7e73bc90c9e46b7144d4b8ed74fe2447 | 917c5cf4ae92d601a1981a7a706727dfe7d727a6 | refs/heads/master | 2022-12-18T06:51:25.577352 | 2019-03-23T01:48:12 | 2019-03-23T01:48:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,447 | py | # This variant of the program will show every single possible way to complete a Square-Sum Hamiltonian Path
# with the chosen number.
# Note that half of these are just the reverse of the other half.
import threading
import time
from timeit import default_timer as timer
print("Choose length:")
count = int(input())
s... | [
"1493259+GudniNatan@users.noreply.github.com"
] | 1493259+GudniNatan@users.noreply.github.com |
736895652d7acd47dd0b3beb52f7fe26a8ea60e4 | 7baf7106a41a9101e2677ccf336d7163f744d4c9 | /ScreenShot_App.py | 8a3a65d51bb7f27aba1aca06cdbd9d138b05946f | [] | no_license | nirsa1001/Python_Projects | 39b5c6a0cd9d9570380ee9aa575742b6dd987357 | d73f23d82fe06a1c3737b0c08d7be2ac62199019 | refs/heads/master | 2022-11-17T22:58:52.715689 | 2020-07-18T16:41:41 | 2020-07-18T16:41:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 636 | py | import time
import pyautogui
import tkinter as tk
def screenshot():
name = int(round(time.time() * 1000))
name = 'C:/Users/gsc-30431/PycharmProjects/test1.py/Screenshot_App/{}.png'.format(name)
# Update the Directory path above where the screenshots will be saved.
img = pyautogui.screenshot... | [
"noreply@github.com"
] | noreply@github.com |
47ede935441605d7d56f33de91b7e10d1f544291 | 930309163b930559929323647b8d82238724f392 | /sumitb2019_c.py | 8ebf6c2adc23f64ec6e3e5122b0e1896defd65e2 | [] | no_license | GINK03/atcoder-solvers | 874251dffc9f23b187faa77c439b445e53f8dfe1 | b1e7ac6e9d67938de9a85df4a2f9780fb1fbcee7 | refs/heads/master | 2021-11-07T14:16:52.138894 | 2021-09-12T13:32:29 | 2021-09-12T13:32:29 | 11,724,396 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | import itertools
X = int(input())
ps = [100, 101, 102, 103, 104, 105]
dp=[0]*(X+1)
dp[0] = 1
for p in ps:
for i in range(len(dp)):
if i >= p:
dp[i] = max(dp[i], dp[i-p])
print(dp[X])
| [
"gim.kobayashi@gmail.com"
] | gim.kobayashi@gmail.com |
a44eef4aa7259c94d66a70938ae38b76bea2755e | 0761c57443d2491b00753a6545395f682be27273 | /PythonProgramming/4-20/dictionary.py | 21f380ac66cc8613b2783f781af26fdf851de376 | [] | no_license | MorgFost96/School-Projects | 842835f97c025ee97e106540f2e6f03f5fdac563 | 9c86a4133e7cb587d7ad15af8da962278636db1f | refs/heads/master | 2020-09-21T22:19:49.494044 | 2019-11-30T22:19:56 | 2019-11-30T22:19:56 | 224,951,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,920 | py | # Dictionary
# - An objet that stores a collection of data.
# - Each element has two parts:
# - Key
# - Value
# - The key is used to locate a specific value
# ------------------
# English Dictionary
# ------------------
# - The word = Key
# - Definition = Value
#
# - emp_ID = Key
# - emp_name = Value
#... | [
"morgfost96@gmail.com"
] | morgfost96@gmail.com |
566469cd1b76d202192417ecad22a99c3b57c032 | 357891fd990f30bf7e7a4e5bca6f8e74ed288e07 | /seleniumdemo.py | 3f93e8691b5f75a7fa6741a1e962e8f121d4a238 | [] | no_license | shuo502/seleniumdemo | 984b93b3dc7e32ae1ba6214a69f304e5f958d447 | 9805d0f80fec7863dec223f651bac0f6d665638a | refs/heads/master | 2020-06-24T12:24:53.819201 | 2019-08-15T10:36:47 | 2019-08-15T10:36:47 | 198,962,010 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,403 | py | # -*- coding: utf-8 -*-
# @Time : 2019/7/25 18:36
# @Author : Yo
# @Email : shuo502@163.com
# @File : seleniumdemo.py
# @Software: PyCharm
# @models: ..
# @function: ...
# @Git: https://gitee.com/m7n9/PyCharm.git
# @Edit: yo
# path = "/chromedriver"
# driver = webdriver.Chrome(path)
# driver=driver.ChromeOp... | [
"shuo502@163.com"
] | shuo502@163.com |
0037015439481d0e18bcfef36abb4692897ad45d | 6fad6f220c4ac5e52b7a7a082c63b81320102a2a | /proyectos/10/src/jackGrammarVisitor.py | ad1f0c487b2dbd750bda5c7d858324ed42a7349b | [] | no_license | lmvasquezg/Computer-architecture | 512ba5fc85dacaa85803a8c9e3fa1a847b1427b1 | 1352b9ce6b95f335d4d3d1e2c3080cbc4625213a | refs/heads/master | 2022-04-11T07:53:41.237720 | 2020-03-09T14:16:37 | 2020-03-09T14:16:37 | 192,032,115 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,871 | py | # Generated from jackGrammar.g4 by ANTLR 4.7.1
from antlr4 import *
if __name__ is not None and "." in __name__:
from .jackGrammarParser import jackGrammarParser
else:
from jackGrammarParser import jackGrammarParser
# This class defines a complete generic visitor for a parse tree produced by jackGrammar... | [
"lmvasquezg@MacBook-Pro-de-Luisa-2.local"
] | lmvasquezg@MacBook-Pro-de-Luisa-2.local |
6afad1eb9a9749a808aa04ff852f4ed7cf4fb72b | 889d13d15084f12e84731f48f50c72169f4ca45f | /public/class03demos/class03p10.py | d49c82eb8a80a9c4ac35087d43a3a802aada5e9c | [] | no_license | puneet-khatod/ml4us | 1bb4a661f3d59d8d0b7ff9e959b2f51324c7a9c9 | 917cdac85086bfc82f03e3db3ba8e7b15f9c407b | refs/heads/master | 2021-05-06T15:59:13.646649 | 2017-12-09T08:03:30 | 2017-12-09T08:03:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 665 | py | """
class03p10.py
This script should use Pandas to plot prices of GSPC for 2016.
"""
import pandas as pd
import matplotlib.pyplot as plt
csvfile = 'http://spy611.herokuapp.com/csv/allpredictions.csv'
# Goog: In pandas how to sort a dataframe?
cp_df = pd.read_csv(csvfile).sort_values(['cdate'])
# Goog: In pandas how ... | [
"bikle@bikle.com"
] | bikle@bikle.com |
9d7639d189d421797740d682aac51312abee9e92 | d554b1aa8b70fddf81da8988b4aaa43788fede88 | /5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/225/users/4011/codes/1745_1531.py | f673af6f93026f7831e6b2d8cc72542a9d884f67 | [] | no_license | JosephLevinthal/Research-projects | a3bc3ca3b09faad16f5cce5949a2279cf14742ba | 60d5fd6eb864a5181f4321e7a992812f3c2139f9 | refs/heads/master | 2022-07-31T06:43:02.686109 | 2020-05-23T00:24:26 | 2020-05-23T00:24:26 | 266,199,309 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 244 | py | from math import*
x = eval(input("radiano: "))
k = int(input("Quantidade de termos da serie: "))
n = 0
soma =
while(n < k):
n = n + 1
sinal = (x**(2 + 2*n)/factorial(2*n))
sinal = - sinal
soma = sinal + sinal
print(round(serie, 10)) | [
"jvlo@icomp.ufam.edu.br"
] | jvlo@icomp.ufam.edu.br |
f7d6009afe642598dd42b9bec2f9d912ca79f499 | 99b3a729c1240b022b7d58a31dd0d6236ba62243 | /codes/verify_data.py | 9201cf86dfa142d3ff85649d4bdf05a881f4ed07 | [
"Apache-2.0"
] | permissive | deergoose/BasicSR | bdc92a4510bcf68f86392410bad5832722ae86d2 | d8ee9e84a308ad47e7cc97adc4a282f34cbdb956 | refs/heads/master | 2020-07-06T00:02:59.398073 | 2019-04-27T20:22:17 | 2019-04-27T20:22:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 506 | py | import argparse
import matplotlib.pyplot as plt
from data.dstl_dataset.dataset import DstlDataset
import options.options as option
parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, required=True, help='Path to option JSON file.')
opt = option.parse(parser.parse_args().opt, is_train=True)
opt =... | [
"zhoufang@ucsd.edu"
] | zhoufang@ucsd.edu |
b1c393d0df4595e8737420b0882fdf0ac70e062d | 3aaa3640b929ac46dc7a4b9fada59be615079576 | /demos/helloworld/helloworld.py | 06eac9290f968b6e70163a72e50faebe22da1aeb | [
"Apache-2.0"
] | permissive | joobih/tornado_redis_yield | f840c44362cc57b0cd4fd813b9875b3a29369381 | 9c2a81a87bbbbca50b57d23029e4b78192bedf17 | refs/heads/master | 2021-05-25T09:14:49.990681 | 2018-04-02T08:53:23 | 2018-04-02T08:53:23 | 126,953,130 | 1 | 1 | Apache-2.0 | 2021-04-20T17:19:10 | 2018-03-27T08:19:46 | Python | UTF-8 | Python | false | false | 1,222 | py | #!/usr/bin/env python
#
# Copyright 2009 Facebook
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
"1006536507@qq.com"
] | 1006536507@qq.com |
d769330af821d7a74f0e733e79db3212a3b06fbd | 85f95f90f0512d7771f4d3a4a7e949182d72f5b4 | /jumble_solve2.py | 37b406f81d9517cd9bb166dfb44754df267f5b84 | [] | no_license | Mattmlm/jumblesolve | b35ca25dcc650265fb2dd089603e79ab10ad1e52 | ba870c42c5249b76d011ca31b154f592d8233c04 | refs/heads/master | 2016-09-05T19:09:53.756483 | 2014-02-18T20:19:28 | 2014-02-18T20:19:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,001 | py | # jumble_solve2.py
import sys
def prefix_tree(filename):
dictionary_tree = dict()
fin = open(filename)
for line in fin:
word = line.strip()
if word[0] in dictionary_tree.keys():
updated_list = dictionary_tree[word[0]] + [word]
dictionary_tree[word[0]] = updated_list
else:
dictionary_tree[word[0]] = ... | [
"matthew.l.mo@gmail.com"
] | matthew.l.mo@gmail.com |
4970dcdf1544b9e15abe1d6a4a00f1534ace0616 | f9e5613901957409ca535468af7301ddfbf2512e | /lmru.py | 2f0f1eb4021c923e59517e4f26eae4fbe2cac9dd | [] | no_license | OlgaP-1/Metods-sbora-i-obrabotki-bases | 6f3b0d6a283086dc6315328bd93303dca179d29c | a0a4ed4478079880fee3f7dad68ad76ece218e45 | refs/heads/main | 2023-04-01T10:57:42.167990 | 2021-03-30T18:17:06 | 2021-03-30T18:17:06 | 344,433,801 | 0 | 0 | null | 2021-04-08T22:09:39 | 2021-03-04T10:22:35 | Python | UTF-8 | Python | false | false | 2,217 | py | import scrapy
from scrapy.http import HtmlResponse
from leruaMerlen.items import LeruamerlenItem
from scrapy.loader import ItemLoader
class LmruSpider(scrapy.Spider):
name = 'lmru'
allowed_domains = ['leroymerlin.ru']
def __init__(self, search):
super().__init__()
self.start_urls = [f'http... | [
"noreply@github.com"
] | noreply@github.com |
362de125dfff44ad410d7bef2f1dd56984cbfb60 | bdcfcb7924633a11ef1cfacc283ee2116ebf87e3 | /neuralTPPs/tpp/models/base/process.py | a10e0aab4f111779348bfcc758b6e2ce0e2e3eb2 | [
"Apache-2.0"
] | permissive | lithces/tpps | d36c98f3554123a82524f96366fdb419606c9a85 | 0bdf84f37c91023ffbe06146efa1889d9a1e9f9b | refs/heads/master | 2023-08-23T13:24:02.128993 | 2021-11-05T22:35:48 | 2021-11-05T22:35:48 | 425,101,008 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,777 | py | import abc
import torch as th
import torch.nn as nn
from typing import Dict, Optional, Tuple
from tpp.utils.events import Events
class Process(nn.Module):
def __init__(self, name: str, marks: Optional[int] = 1, **kwargs):
"""A parametric process.
Args:
name: The name of the process.
... | [
"lithium7456@gmail.com"
] | lithium7456@gmail.com |
c6c285a03178805fd2966399625ea4b885c8db09 | 96b0fdb57d99add48823cd80dfb822af0df18e22 | /bin/wheel | 166f9b141ab4b9f56da78f02d68d2e79b6dd5d69 | [] | no_license | sebfio/mte546project | 39e368dd0a1aff20f8f480b242bebba9fe24ae0c | 98027eec4382c2449d0a7cfd4fd43354457f3d76 | refs/heads/master | 2023-02-03T15:25:03.388192 | 2020-01-08T03:08:35 | 2020-01-08T03:08:35 | 176,009,525 | 0 | 0 | null | 2023-02-02T04:54:08 | 2019-03-16T18:29:41 | Python | UTF-8 | Python | false | false | 224 | #!/home/sxf/mte546/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"sebf465@gmail.com"
] | sebf465@gmail.com | |
c03a4aa677a7ee28e15c3cdb81e2a3b9d4b0830f | bfc551b280079889255383ebf0fede2a5a724198 | /bin/django-admin.py | b6c7819ebd994a7e6f06b38970ebe032a73f5e76 | [] | no_license | Wolf4091/AdvertisingMat-site | ebf1b602fdbf6bfefdb2e1a82b9d8642b1ae2d1c | c26798dcb24309a13f280bbdcdddcba8198b00b4 | refs/heads/master | 2020-03-18T18:33:22.459061 | 2018-06-11T06:52:21 | 2018-06-11T06:52:21 | 135,100,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | #!/home/ian/pythonprojs/selfsite/MySite/bin/python2
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"iclark@idevops.io"
] | iclark@idevops.io |
f5dd2bb68d941f22a8ece354d5ebe4a7ff628fca | 736250d9d14552c5fa0aca25b25d9c8a28fcd1a0 | /mtmpro/mtmapp/migrations/0001_initial.py | 42368fcde0eff7c119ef4b9236f3139dcdb96da7 | [] | no_license | maheswatapradhan/feedback | 57f052a2082902cb8a72b474e0b863b7a00d1c9c | 31c7dcb113a38e29b3a56481fcb9ae2fce7d61a2 | refs/heads/master | 2020-09-15T23:42:32.041306 | 2019-11-23T12:54:25 | 2019-11-23T12:54:25 | 223,585,900 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,254 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2019-09-16 11:09
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Course',
... | [
"test@test.com"
] | test@test.com |
a4f838f0cb967caac7da1085f97a7e03189b5fa5 | 4fbe62e09f468b6ad413efd5f121d6b26d367d60 | /controller/helper.py | 5caff02d1f68bae012c8ffd8bf25bad0a943fd51 | [] | no_license | ztao/dmgae | d331da0f30b6e9ca36581b8349e9c98bdf02b06d | 6629bf2eb0fa2bbcd473031b32f27733995d8295 | refs/heads/master | 2021-01-24T06:39:10.283052 | 2013-08-12T19:13:06 | 2013-08-12T19:13:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,335 | py | import json
from ast import literal_eval
from model.event import EventModel, Activity, Relation, Place
def json2model(event_obj):
print event_obj
event_obj = json.loads(event_obj.replace('\r\n', '\\r\\n'))
id = int(event_obj["ID"])
event = EventModel.query(EventModel.eid == id).get()
if not event:... | [
"ziwang.tao@gmail.com"
] | ziwang.tao@gmail.com |
edf06fc59a34181ad65492c202910cb9eb9876f2 | bf0f5fd1b11e988767c9493a7d3b2e97da457ca2 | /uniq_samples/code_samples/CommandRunner/src/cmd_runner.py | b96c9a2231c0201c424126c59ce6aa8bedffd834 | [
"Apache-2.0"
] | permissive | jorschul/dnac-samples-aradford | 6fe818c93c5de49fa24b4bdaa4508d47802333e2 | 8d6ab78c1b00904beba8a5f433b92df67a61f150 | refs/heads/master | 2021-09-15T19:06:19.311079 | 2018-06-08T20:26:43 | 2018-06-08T20:26:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,135 | py | #!/usr/bin/env python
import ast
import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from login import login
import json
import jtextfsm as textfsm
from argparse import ArgumentParser
def run_command(dnac, devs, cmds):
if cmds is [None]:
cmds =["... | [
"aradford@cisco.com"
] | aradford@cisco.com |
e7ac3e943d33f282eac4d0e7a3b4aac178f27edb | f2eb2e5bbb2b7c8d09094ea92105fc119956ab2d | /category/migrations/0001_initial.py | fb781b98ff210712a4765ed6244264712ec62e47 | [] | no_license | MichangaVictor/greatkart | ada27fcec3e44efe2322b7b487138f8045e5eeae | 3d35a884fe25fd67382827d174fa2477a382225d | refs/heads/main | 2023-09-01T07:08:19.158330 | 2021-09-25T11:14:21 | 2021-09-25T11:14:21 | 407,810,786 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 886 | py | # Generated by Django 3.1 on 2021-09-17 10:46
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Category',
fields=[
('id', models.AutoField(a... | [
"onyango.vic@yandex.com"
] | onyango.vic@yandex.com |
855e7d3b3e1a062a0a4d29cccd95979c6e39f28d | cd85cac1855e533f47d91735b072a640e4d032c9 | /blog/migrations/0002_comment.py | d111b7f248fb9b54d2d06623bede6d5b676d8ef4 | [] | no_license | Rem1219/Sunduk | 154fc52d35f1921a2607a08bacc4eb24064d44bd | 4f1bd9224a53432bdc7036a12819e571cd05d0cb | refs/heads/master | 2021-01-17T23:21:25.107415 | 2016-06-24T18:17:57 | 2016-06-24T18:17:57 | 61,186,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 969 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-06-24 16:10
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
... | [
"rem12191@gmail.com"
] | rem12191@gmail.com |
276977c5c0f0c8513d7f9b377f884740796791cd | 34876b55af2c25629a7617a329f209de6c9f274f | /env/lib/python3.6/functools.py | 8559f5b0239570c6be959bba2b19de7ea3dd3b89 | [] | no_license | Fastwriter/django-rest-framework-tutorial | 350a239b85e31ebd7e3f0946e7841d1aa04fe165 | 72429f51d645d6c2357ae8107bb6021ef2cb5a9e | refs/heads/master | 2020-04-11T13:08:53.681228 | 2018-12-14T15:40:45 | 2018-12-14T15:40:45 | 161,805,236 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 57 | py | /Users/demeuovdaulet/anaconda3/lib/python3.6/functools.py | [
"demeuov.daulet.nis.ura@gmail.com"
] | demeuov.daulet.nis.ura@gmail.com |
2d493828a291e0d20a0b71cb7adc4a216c1109a8 | a83d577557b0d1cb348560879468d0563ababa11 | /ecommerce/forms.py | 664bf5947e9b5a53e83e60dd04b854e800bb70c3 | [] | no_license | MaazAr/Mark-Django | 7856edf2fb8cefd4158daa9a3376823101eb3731 | e8ae75a05a4e0975e704de7412099a130602f5fb | refs/heads/master | 2023-01-05T18:17:43.804007 | 2020-11-02T13:40:11 | 2020-11-02T13:40:11 | 309,380,520 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 480 | py | from django import forms
from django.contrib.auth import get_user_model
User = get_user_model()
class ContactForm(forms.Form):
fullname = forms.CharField(widget=forms.TextInput(attrs={"class": "form-control", "placeholder": "your full name"}))
email = forms.EmailField(widget=forms.EmailInput(attrs={"class": ... | [
"maazabdul@ymail.com"
] | maazabdul@ymail.com |
e92bb7009b48dbf53be81f216d049bab6787cdce | 5d61565651b7ba5fa8fade3313a5e82fca8b6686 | /login/migrations/0003_auto_20190709_2213.py | 58c72a12c002fd6586fd9fbdb94b2ed1aaacc6c2 | [] | no_license | lonelyxmas/ISMS | d597b00072bfa77907875f575b866fbb1fb53295 | 08c5e2f3518fc639cf1a1f2869f4b2f3ae58e306 | refs/heads/master | 2023-08-14T12:02:59.001215 | 2021-03-22T03:34:58 | 2021-03-22T03:34:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | # Generated by Django 2.1.4 on 2019-07-09 14:13
from django.db import migrations, models
import uuid
class Migration(migrations.Migration):
dependencies = [
('login', '0002_auto_20190704_0826'),
]
operations = [
migrations.AlterField(
model_name='user',
name='FID... | [
"11325818@qq.com"
] | 11325818@qq.com |
db9503f8d4917677b10f97a48c4f912d05a9290a | acc244c97a943d8e2074339afa1bff1274ae4cfc | /CGATPipelines/PipelineMedip.py | 3f12a921f960aaedb163d725a83b325930f8e7fb | [] | no_license | eromasko/cgat | 00114f4c95b439ba6595ddf2092d1a3307347401 | d82d197f3913b8d65b656c0b205ca48854fdb2a6 | refs/heads/master | 2021-01-17T09:37:17.168278 | 2015-02-20T09:03:31 | 2015-02-20T09:03:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,824 | py | '''
PipelineMedip.py - tasks associated with MedipSeq analysis
==========================================================
'''
import re
import os
import collections
import sqlite3
import CGAT.Experiment as E
import CGAT.Pipeline as P
import CGAT.Database as Database
import CGAT.IOTools as IOTools
from rpy2.robject... | [
"andreas.heger@gmail.com"
] | andreas.heger@gmail.com |
c1e309ba4de5e590737e4abc08092bc2eecb0f47 | 569906ef0204e7de0947b3a17be20145da6c325a | /exampleCode/heatConduction3DUnsteady.py | f479a9750c26843f3f6734ebf56c440ed1fce9d6 | [] | no_license | amikkonen/NumericalTechniquesForProcessModelling | 1a28678f75ac4d7b7c8419e963f39fffbe721e0b | d9a31f09f1e01f8be5dddf3b8e3ebc2052c5a055 | refs/heads/master | 2023-02-08T16:50:37.693290 | 2023-02-05T16:26:06 | 2023-02-05T16:26:06 | 116,688,697 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 11,514 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
A course example of unsteady 3D heat conduction.
Constant propersties, contant temperature boundary, zero gradient (insulated)
boundary, transient.
NOTE: USE OF SPARSE MATRIXES IN MatrixA
Created on Sat Jan 13 13:10:11 2018
@author: Antti Mikkonen, a.mikkonen@iki.... | [
"a.mikkonen@iki.fi"
] | a.mikkonen@iki.fi |
7e043518a2f136a4085f8d4d13121670413127d1 | 298f0799a6c7ff0ae2ed4994160b22527c0e2a3d | /cars.py | 4d665eed95666238b833bc8a15916f9c16ec75c3 | [] | no_license | marinacruzjordao/Python_Rent_A_Car | 2d90155eb7eb2ac34d66de4aee4e721aada534e7 | 5b82642d66d46ecac66d8a861876d9420288f43a | refs/heads/master | 2023-03-07T02:47:51.237946 | 2021-02-20T15:14:24 | 2021-02-20T15:14:24 | 338,102,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,456 | py |
import sqlite3
import images
from PySimpleGUI import PySimpleGUI as sg
class RentACar:
def __init__(self):
#layout
sg.theme('Reddit')
def wind_initial(self):
self.layout=[
[sg.Button(image_data=images.imge)],
[sg.Button('Cars Catalogue',size=(20,... | [
"marinacruzjordao@gmail.com"
] | marinacruzjordao@gmail.com |
6ef3b6ebd24d6353ea1c4341f997729f76f1d7e8 | 2b2cabd2e436ec5350717bf4f2a798c20cf09efb | /Evaluation/textgrid_2_textfile.py | 65f0b3a006da939e3ce5698d590777aa4337cd6f | [] | no_license | miastra/SwedishForcedAligner | 1ac9db7a33a6c639f1249acbe57f48f312d84938 | 6fb14bd480f67d6e674579d7541d427c2a1ea3b9 | refs/heads/master | 2021-04-06T01:08:32.019060 | 2018-04-06T07:34:14 | 2018-04-06T07:34:14 | 125,353,297 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,626 | py | import os
import re
# Extract labels and start and end times from a TextGrid
def extract_word_alignments(tg_path):
textgrid = open(tg_path)
lines = textgrid.readlines()
intervaltier_idx = []
for i in range(0, len(lines)):
if re.search('IntervalTier', lines[i]):
intervaltier_idx.appe... | [
"miastra@kth.se"
] | miastra@kth.se |
ec66bc0543ba3c33f0203126bbdc78da3258cd28 | 38d8d417c3ba38b11fd33d82acb3899c65342b23 | /Actividad4.py | eb27e34bdf92e80f982573b237c74ff7212c60b7 | [] | no_license | kevinalx/PythonTkinter | 41a11ef025b4ddc2f8753dc053c20bad87d2fb58 | a9fbdf4d2b892e475d817ecd6b6eabece5de2bea | refs/heads/master | 2022-12-04T14:22:40.942465 | 2020-08-26T03:22:08 | 2020-08-26T03:22:08 | 290,383,794 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,610 | py | #Un alumno desea saber cual será su calificación final en la materia de Algoritmos. Dicha
#calificación se compone de los siguientes porcentajes:
#55% del promedio de sus tres calificaciones parciales.
#30% de la calificación del examen final.
#15% de la calificación de un trabajo final.
#Leer c1, c2, c3, ef, tf
#prom ... | [
"kevintorres1208@gmail.com"
] | kevintorres1208@gmail.com |
6ee99c0fb1e4c9f4f6261a6f986415fe77cd8534 | 113641697bd7db550eed62a6f2194e12dd2125af | /Tests/AddBookTests.py | 371ed95c50f9f5fc74e211e1a07fe988e371e412 | [] | no_license | mohabayman/BookStore-PythonAutomation | 79debd340cc733dbdefc129f692ff54e30a0da2e | 0093d380541833f367db1fc876cc5039b7f1c348 | refs/heads/master | 2020-12-02T06:45:50.603637 | 2018-12-18T17:25:56 | 2018-12-18T17:25:56 | 96,895,186 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,034 | py | from PageObjects.HomePage import HomePage
from PageObjects.LoginPage import LoginPage
from PageObjects.AdminPage import AdminPage
from PageObjects.BooksPage import BooksPage
from PageObjects.AddBookPage import AddBookPage
from Utils.DriverFactory import DriverFactory
from time import sleep
class AddBookTests... | [
"seltahan@integrant.com"
] | seltahan@integrant.com |
f58e818470df252160aaaaa5eb5e4678b4f65192 | e8b3283b51da072bb3721f27250276e8ca09cb16 | /johnsonkuangwebsite/website/models.py | bfc721c9a7b1bd0bbb2dbc3a3ed5e447cf4a6162 | [] | no_license | johnsonkuang/johnson-kuang-website | 9f545cd9877e78e44325f27d8113f4b1724a010c | 804055acf5e0444f1d34b36664ad3239a5209b3b | refs/heads/master | 2020-03-27T09:46:35.779249 | 2019-01-11T07:25:07 | 2019-01-11T07:25:07 | 146,371,291 | 0 | 0 | null | 2018-11-05T21:56:24 | 2018-08-28T00:50:08 | CSS | UTF-8 | Python | false | false | 7,738 | py | from django.db import models
from django.dispatch import receiver
from django.db.models.signals import pre_delete, post_delete, pre_save, post_save, m2m_changed
from django.utils import timezone
from django.contrib.auth.models import User
from datetime import date
from image_cropping import ImageRatioField
from sorte... | [
"johnsonkuang@outlook.com"
] | johnsonkuang@outlook.com |
bd7ff72f18a4bbea1188117dfed8fe4b78f612df | 28a9db1536877930b7376cb66d18fafa2d01a1fe | /driftproject/routes.py | f2a77620e1181d6ab613806758a0e81eb6155150 | [] | no_license | reinaldo1526/drftprojectweek4hw | c3b409f6c4b8fb26e6620cbffce823ebd7f07d5b | 76b854b4ef59971dce251c4f148ac69552ff7f6c | refs/heads/master | 2020-12-10T21:15:21.404322 | 2020-01-13T23:10:52 | 2020-01-13T23:10:52 | 233,712,593 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,305 | py | from driftproject import app, db
from flask import render_template, request, redirect, url_for
from driftproject.forms import SignupForm,LoginForm,PostForm,CheckForm
from werkzeug.security import check_password_hash
from flask_login import login_user, current_user,login_required
from driftproject.models import User... | [
"Juny@reinaldos-MacBook-Air.local"
] | Juny@reinaldos-MacBook-Air.local |
94fe269b557ee98918bd55d5831a8de7b0bca7e3 | 9f0c4fdcebf2bdf83765841b565414c0d0db5038 | /8.3 - Emparelhamento Bipartido (Ponderado)/EmparelhamentoBipartidoPonderado.py | 77f6246e9d5d275268168a03be3f8b47227adfce | [] | no_license | gabrielgpavan2/Algoritmo-de-Grafos | b528cc1ba826db99c4ad5b4326ecd728f7ad2629 | 162a42dccb1dc6355441e005705f56e55746269b | refs/heads/master | 2020-04-30T02:26:36.639257 | 2019-03-19T16:57:57 | 2019-03-19T16:57:57 | 176,559,680 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,353 | py | # -*- coding: utf-8 -*-
# Autoria:
# Fabiano S. Oliveira
# Paulo E. D. Pinto
#
# A correção e a análise de complexidade deste programa
# encontram-se no livro
#
# Teoria Computacional de Grafos, Elsevier, 2018
# Jayme L. Szwarcfiter
#Algoritmo 8.3: Emparelhamento Bipartido (Ponderado)
... | [
"noreply@github.com"
] | noreply@github.com |
0a016c76968b4e068f1c591451a39f1691413058 | 1ffe0a2e874eb48c8f6d41d353fc43ec9652372e | /SScriptCompiler/src/conf/SMpu9250.py | 6e43b4c00ad171995d823e5c9423452ae3541f5d | [
"MIT"
] | permissive | alklasil/SScript | 77c03acef77fba0894f085becbe2f5670e3e8b50 | de4481bf96e79b9ee157e266ea9fe8b1bfb3701e | refs/heads/master | 2021-03-27T11:30:21.073203 | 2018-05-25T16:40:56 | 2018-05-25T16:40:56 | 122,749,015 | 0 | 0 | MIT | 2018-03-28T19:44:23 | 2018-02-24T14:47:26 | Python | UTF-8 | Python | false | false | 2,452 | py | """Helper module for accessing functions."""
from src.SFunction import SFunction
from src.SVariable import SVariable
class SMpu9250:
"""Standard functions class for SScript."""
def __init__(self, useVariables=True):
self.useVariables = useVariables
def getFunctions(self):
""""Return a lis... | [
"alklasil@student.oulu.fi"
] | alklasil@student.oulu.fi |
9fa1ef1faa86b56dd8b2d4ab8a53d48258f7bed6 | b45fc189b5dc879d179a7f90c450fb08f661e686 | /convertNBG.py | 2168cd7804a5b4815d72ee7f74ff7cbac1e14984 | [] | no_license | eigeneko/ATF | 30096572ac7cbb442acbc5717085fec7611f53e5 | 8e97f5f250dac50f01ec81b551f3a9d391406a9d | refs/heads/master | 2020-04-15T04:43:35.692435 | 2019-01-07T07:40:31 | 2019-01-07T07:40:31 | 158,235,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 515 | py | import os
import subprocess
import argparse
from utils import autoNBG
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='FreeEnCal Outfile Compare')
parser.add_argument(dest='task', metavar='task', nargs=1, help='Input the name of logic fragments you want to compare')
... | [
"observelily@gmail.com"
] | observelily@gmail.com |
7a821db6e73317f1eda8b4668d934a936b9bc173 | efb3d0c2f9fcc5be631323e31f4b8dfcdd0ab676 | /compiler/tests/14_replica_column_test.py | c8d50a539879db74ee9e9e7d09880960e2cc6270 | [
"BSD-3-Clause"
] | permissive | kanokkorn/OpenRAM | 5f30beb35e3c161fbf0d233b59fe7d7805d3c348 | 3a9693e37fd3afbd52001839966b0f2811fb4ccd | refs/heads/master | 2022-06-03T12:53:47.750245 | 2022-05-27T15:53:05 | 2022-05-27T15:53:05 | 189,780,330 | 0 | 0 | BSD-3-Clause | 2021-04-07T06:49:08 | 2019-06-01T21:47:50 | Python | UTF-8 | Python | false | false | 1,291 | py | #!/usr/bin/env python3
# See LICENSE for licensing information.
#
# Copyright (c) 2016-2021 Regents of the University of California
# All rights reserved.
#
import unittest
from testutils import *
import sys, os
sys.path.append(os.getenv("OPENRAM_HOME"))
import globals
from globals import OPTS
from sram_factory import ... | [
"mrg@ucsc.edu"
] | mrg@ucsc.edu |
52f9e019ca59ad581223697ba63f672d9198b805 | 87390bcd42b1b56a3c6235f5a4a304386b8be963 | /src/evaluation.py | 87776a238d1308b23102bb669ec461c1c7896584 | [] | no_license | emalgorithm/rna-design | d195a79c829e2e9d9beaeea5e177704ad53ab380 | aec77a18abe4850958d6736ec185a6f8cbfdf20c | refs/heads/master | 2020-04-22T10:24:14.593635 | 2019-05-11T22:11:23 | 2019-05-11T22:11:23 | 170,304,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,239 | py | from sklearn.metrics import hamming_loss
import numpy as np
import torch
import RNA
from src.data_util.data_processing import one_hot_embed_sequence, prepare_sequences, decode_sequence
from src.data_util.data_constants import word_to_ix, tag_to_ix, ix_to_word, ix_to_tag
from sklearn.metrics import accuracy_score, f1_sc... | [
"emanuele.rossi1909@gmail.com"
] | emanuele.rossi1909@gmail.com |
c9ff13c653b1b1f790075ec691191d371ddc12d8 | bdd6168675bbb09d483119afd6accceb13666b14 | /modimport/browser.py | 2550cbde5bdff1ea36cb8675519afdc96012743c | [] | no_license | AnDa-creator/Python-games-and-projects | e9c14730eaeef54d713f35cfbdcb967ed9fab263 | 7ff9dd58c6602defa638d4e28976b7fbeb0a2b2c | refs/heads/master | 2022-12-04T12:12:42.424375 | 2020-08-13T15:25:09 | 2020-08-13T15:25:09 | 287,167,181 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 42 | py | import webbrowser
webbrowser.open("http") | [
"anuranan.fifa14@gmail.com"
] | anuranan.fifa14@gmail.com |
7b205e91d3d2e6bea20b6b48b78dc7bf2b245db8 | c908dacdc0006e247aa529dddb98bc1d67fbf7c8 | /user.py | c2f9669f15bbddd02c3b88046a27e25547ba194d | [] | no_license | TomeCirun/flask_blog | 40e3bd041fd7ba376c181073c92e19f296aca928 | de34ac14e2e3e2044e3f327e288eefadf34b7faf | refs/heads/main | 2023-03-05T13:51:37.335673 | 2021-02-17T12:04:00 | 2021-02-17T12:04:00 | 339,709,097 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py |
class User():
def __init__(self,id,username,password):
self.id = id
self.username = username
self.password = password
def __str__(self):
return f'User Id: {self.id}' | [
"cirun@live.com"
] | cirun@live.com |
44f99ab506d13bdff1cbf6562817d69a237ad312 | 55fced1ccebe4e517b75b2efffce21ed908b9fbc | /getVeryCode.py | a3652fe4320d4a282ef7631cb18787504398aa48 | [] | no_license | Jashin-Hitagi/cpquery-spider | 353373f74cbdce436045c9a5ac7ea31b29091958 | fda0230a4bc577f307b06b441aa7cc8de2edb48d | refs/heads/master | 2023-07-06T23:36:03.265782 | 2021-08-12T02:40:04 | 2021-08-12T02:40:04 | 395,161,675 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,384 | py | import json
from aip import AipOcr
import re
def binarizing(img): # input: gray image
threshold = 200
pixdata = img.load()
w, h = img.size
for y in range(h):
for x in range(w):
if pixdata[x, y] < threshold:
pixdata[x, y] = 0
else:
pixdat... | [
"wh775349543@gmail.com"
] | wh775349543@gmail.com |
ac7445a68c219f3dd9d06e99c7644d3df11f37fd | 43fa572169fb7f07e360afcbdde393abc0508b14 | /GOLsparseMatrix.py | 876f998a7e04faa0e3e52f583ddf5873cd6ce92b | [] | no_license | ankitamishra1998/GameofLife | c445674f4d3cd56e8eb6c040da5ff0a001e329e8 | 8732ab05569da63344ca3df071e0c9b82fbf44f8 | refs/heads/master | 2021-05-10T13:46:43.098566 | 2018-01-25T05:30:17 | 2018-01-25T05:30:17 | 118,489,184 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,154 | py | print ("Game of Life")
import sys
import time
import tkinter
from tkinter import *
import numpy as np
from scipy.sparse import csr_matrix
def count(arr, tup, d, x):
if tup[0] >= 0 and tup[0] < d and tup[1] >= 0 and tup[1] < d :
if arr[tup] == 1:
x += 1
return x
##row = [1,0,1,2,2]
##col =... | [
"ankitamishra1998@gmail.com"
] | ankitamishra1998@gmail.com |
beb8c8d74b03478d2ab23ab25ba45c5ef6828866 | 63adbb3123e8cdc9afa46075a16e9ec45bba55c9 | /assignment9.py | c87338f65e9e121b786fe7596d56544cf8352142 | [] | no_license | ranveer1691/python | db1fd275721158d72633fa9d22785f35b2e33ec6 | ceafa13494f9cee85ec72e64a0c7dab504d80c7d | refs/heads/master | 2020-03-26T17:13:47.282600 | 2018-09-07T18:55:27 | 2018-09-07T18:55:27 | 145,149,187 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 731 | py | # ASSIGNMENT-9
#Question-1
try:
a = 3
a < 4
a = a / (a - 3)
except ZeroDivisionError as msg:
print('wrong', msg)
#Queation-2
try:
l = [1, 2, 3]
print(l[3])
except IndexError as msg:
print('something went wrong', msg)
#Question-3
'''
NameError:hi there
'''
#Question-4
... | [
"noreply@github.com"
] | noreply@github.com |
966fdf7eb6a1eec1702eaaaca18fe580ed0748ef | a7870a13babdcac3b680980edb516591a4a4fb07 | /shared/inspect.py | 70ee76c020289fa67c6b547a213a6657bad2835e | [] | no_license | mustafaghali/clouds_dist | 2cc6da2fcbfc1c3c61005ea8316ae31208879f5b | 57d5be4e15c3d4171fda7a58832225eb289f3b8c | refs/heads/master | 2022-04-08T19:00:37.981332 | 2020-02-10T15:12:50 | 2020-02-10T15:12:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,519 | py | #!/usr/bin/env python
"""
Utilities to Study Model Results
"""
from src.data import get_loader, get_transforms
from src.stats import get_stats
from src.utils import get_opts
import argparse
import numpy as np
import pandas
import pathlib
import seaborn as sns
import src.gan as gan
import torch
def infer(model, loader... | [
"sankaran.kris@gmail.com"
] | sankaran.kris@gmail.com |
278c8f0ddb3c42fcfe4c7fc1b142419697180d07 | dd81260c780c3697bb98b5e93f268eed5ebbed71 | /mysite/settings.py | 185358c81c7684816b6fe53f73df0c3437efc548 | [] | no_license | josecd85/my-first-blog | 08a00adae0dd6cda047b09d53a56d92430e24e13 | 5f24ae1cfbc94e6d5f4a19875560381faeea1f0f | refs/heads/master | 2021-06-25T13:28:27.968413 | 2020-11-13T12:15:06 | 2020-11-13T12:15:06 | 169,381,371 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,442 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 2.0.10.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
#... | [
"joscabdor@gmail.com"
] | joscabdor@gmail.com |
f69ba9cebdceefbbc74e3b1897f434dfd5b5792d | 88492694761b3a4a09a612b13e62b1339ba5e69c | /src/search/loader.py | 781fa5e9b5c61ab6a5c9839f896e188ac36c234e | [
"MIT"
] | permissive | igarashi339/disney-network | cff257704b932cadc67fd78e659a994ce8ce74e5 | 76d3a628add4d268d2b8864c978bf9a081d4be70 | refs/heads/main | 2023-09-03T12:55:27.937299 | 2021-11-07T13:23:36 | 2021-11-07T13:23:36 | 357,179,122 | 2 | 0 | MIT | 2021-10-02T11:15:25 | 2021-04-12T12:08:45 | Python | UTF-8 | Python | false | false | 1,322 | py | import json
class Loader:
def __init__(self, input_data_path):
self.spots_json_path = input_data_path + "spots.json"
self.links_json_path = input_data_path + "links.json"
self.nodes_json_path = input_data_path + "nodes.json"
def get_nearest_node_id(self, spot_id_org, spot_id_... | [
"igarashi339@gmail.com"
] | igarashi339@gmail.com |
5bf3b709d650e67287d4bfbbb1887821906461cd | fd1b7ffd30143dc0aa0918cab6107f1013b8c4ea | /series/migrations/0005_auto__add_language__add_userserial.py | c48926f92a8931ecabc44c70ec119af1855ae306 | [] | no_license | apelliciari/watch-the-series | 4861ea9a063a7e6cda25feaf0f9a4a996cca20a7 | cec2b92edd1439f81a529685301bdfed2eb991ee | refs/heads/master | 2021-01-22T07:10:38.818076 | 2013-05-16T16:25:29 | 2013-05-16T16:25:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,929 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Language'
db.create_table(u'language', (
(u'id', self.gf('django.db.models.field... | [
"isac.newton@gmail.com"
] | isac.newton@gmail.com |
05890e0e58f21f43e1df0280cae5ee8aba8974ad | 79e85494418b7236ab4519f35ee6a22349b3c531 | /TensorflowMNIST/tfMNIST.py | 4056e442d3bd80dd565a0fc8a2a8fe5c77f3f1d3 | [
"MIT"
] | permissive | raghavgupta0296/Learning-Deep-Learning-Libraries | 1e3014b88c7db7fc7a10957ade724d3de1fceef4 | 15cd020f1468d47bc9e09bcc12933a6aa8004792 | refs/heads/master | 2021-06-14T04:39:21.862036 | 2017-03-21T05:48:44 | 2017-03-21T05:48:44 | 68,845,257 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 904 | py | from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
mnist = input_data.read_data_sets('MNIST_data',one_hot=True)
# print (mnist)
sess = tf.InteractiveSession()
x = tf.placeholder(tf.float32,shape=[None,784])
y = tf.placeholder(tf.float32,shape=[None,10])
W = tf.Variable(t... | [
"noreply@github.com"
] | noreply@github.com |
29a430dbc328601d477386f8cabc243e74005619 | 5df9c5d9f84198f71dc4d6395f60f9735745ac74 | /una_sym_util.py | d2ef2ebd352cd6f4319c2c3e558de5c2ecdf8cbf | [] | no_license | natteruw/crystal_pymolscripts | 545843209397ff6668666df5c4a538e85761499a | 19cb06dd247a0c5727eca6a6c6408f75ed192101 | refs/heads/master | 2021-01-19T11:48:39.268407 | 2018-03-01T22:15:09 | 2018-03-01T22:15:09 | 87,993,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,974 | py | # -*- mode:python;tab-width:2;indent-tabs-mode:t;show-trailing-whitespace:t;rm-trailing-spaces:t -*-
import sys,os,inspect,functools
newpath = os.path.dirname(inspect.getfile(inspect.currentframe())) # script directory
if not newpath in sys.path: sys.path.append(newpath)
import string,re,gzip,itertools
import collectio... | [
"natteruw@sill.dhcp.baker"
] | natteruw@sill.dhcp.baker |
2dca0bd1777f06f89dde2a3e9d3cc9bf911d1be5 | 58580154e99fce5f2baa1c2d23c8e587c08a730a | /mlsummary/clustering/_optics.py | 95d4b91bb2643463b029a5e02e4e7e9fae9fb972 | [
"BSD-3-Clause"
] | permissive | serafinialessio/mlsummary | 1376108c8a1c2b323045b5b9251bd0f5410c7705 | c7f6d047fbedf182571f595f7aa59a4652df4229 | refs/heads/main | 2023-01-13T22:25:26.540860 | 2020-11-24T17:01:45 | 2020-11-24T17:01:45 | 315,001,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,706 | py | import numpy as np
import pandas as pd
from mlsummary.clustering._clustering_functions import _clust_weight, _clustering_metrics, \
_clustering_evaluation, _store_X, _fm, _ari, _sil, _db, _ch, _clust_centers_X
from mlsummary.outliers._outliers_functions import _scatter_clusters_outliers
class opticsSummary:
d... | [
"srf.alessio@gmail.com"
] | srf.alessio@gmail.com |
27963a655be8a9cba63d2ffd03c96a21734e4eb4 | 05820ee892f87fe47df107deb48ef456c952699f | /bashfuscator/modules/string_obfuscators/hex_hash.py | ccf220f9e1a5efcdd0ee19f0656f4774c59689c4 | [
"MIT",
"BSD-3-Clause"
] | permissive | maliciousgroup/Bashfuscator | 45bb5061b51baacd6c63b2ae6d7e4ef6ea514331 | a6279842acb43c9572c39283786ff4203efbb32f | refs/heads/master | 2021-01-04T23:30:59.929643 | 2020-02-28T15:38:58 | 2020-02-28T15:38:58 | 240,796,740 | 3 | 0 | MIT | 2020-02-15T22:28:03 | 2020-02-15T22:28:03 | null | UTF-8 | Python | false | false | 1,100 | py | import hashlib
from bashfuscator.core.mutators.string_obfuscator import StringObfuscator
class HexHash(StringObfuscator):
def __init__(self):
super().__init__(
name="Hex Hash",
description="Uses the output of md5 to encode strings",
sizeRating=5,
timeRating... | [
"jalefevre@liberty.edu"
] | jalefevre@liberty.edu |
29494c29a43d43c4bf909ceb1816cc265b8acc9c | cffabf7d1a1583fe6987feba508d4c2e8e5637df | /src/us-co/scrape-statcode-us-co | e39418dd5e1333e9ca5b22d0b76288301cd0bf0c | [
"CC0-1.0"
] | permissive | esbranson/openlaw | 62e4b486a84b0156a25728fd4464bd981ad77c2e | d3fd06b53f7bc5917fc91527ca6ad717e739e667 | refs/heads/master | 2022-12-11T08:37:19.713993 | 2022-04-29T17:56:09 | 2022-04-29T17:56:09 | 17,883,540 | 17 | 6 | null | null | null | null | UTF-8 | Python | false | false | 37,653 | #! /usr/bin/python3 -uW all
# -*- coding: utf-8 -*-
usage="""
scrape-statcode-us-co - convert the Colorado Revised Statutes into Akoma Ntoso
See <https://en.wikipedia.org/wiki/Colorado_Revised_Statutes>. Given titles as
RTF files, in order, this will output them as an Akoma Ntoso XML file.
Usage: scrape-statcode-us-... | [
"esbranson@gmail.com"
] | esbranson@gmail.com | |
26f81f4eba18c5a190446ffa466434e3ef381ba3 | 41047972c9becb8ae49249b01947f4c9b97f30ed | /VPN/NTU_gcnn_Loader.py | 0c2993db0a6a15eb2956f1171ede1bb45b76641a | [] | no_license | tranminhduc4796/vpn_action_recognition | c25a5ce397268f7088ec4aade6cdb2d951829d93 | 6c2e78f2bf0b312e047ba73eb585e660e96f60d3 | refs/heads/main | 2023-02-22T19:57:59.188150 | 2021-01-20T08:34:52 | 2021-01-20T08:34:52 | 327,543,723 | 3 | 3 | null | 2021-01-19T15:29:36 | 2021-01-07T08:03:19 | Python | UTF-8 | Python | false | false | 5,367 | py | import os
import numpy as np
import keras
import glob
from random import randint, shuffle
from keras.utils import to_categorical
import cv2
from sklearn.preprocessing import LabelEncoder
os.environ['KERAS_BACKEND'] = 'tensorflow'
seed = 8
np.random.seed(seed)
class DataGenerator(keras.utils.Sequence):
def __in... | [
"ductm21@vingroup.net"
] | ductm21@vingroup.net |
fd7b776d413ae841b4dd9e59749cbab4d90619df | 1d56e929916154812e76583337fd14ba91dd5b91 | /Seqstat.py | 4cd5ce8699d841e105c407cffbf058a387dff632 | [
"MIT"
] | permissive | Archieyoung/pySeqkit | 60a9565ff8d4989998ca83b234d4d85e527d9d18 | 27e575bea3542919c9baa2cb4155559157b44199 | refs/heads/master | 2020-03-18T03:29:33.529571 | 2018-04-17T13:30:19 | 2018-04-17T13:30:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,102 | py | #!/usr/bin/env python
"""
This script is used to statistics on a list of fastq files
copyright@fanjunpeng (jpfan@whu.edu.cn)
2018/1/15: init by fanjunpeng
"""
import argparse
from multiprocessing import Pool
from FastqReader import open_fastq
from FastaReader import open_fasta
def get_length(filename, index, min_l... | [
"schooiboy@qq.com"
] | schooiboy@qq.com |
ff63ca733498c988042c4f9a7ee4df25ecdace7c | 1305723f2ab2297bc396a58e6542a77a8ed6de8a | /flashcards.py | ca2ad8b14c8de3262db11fe559763a999915a076 | [
"MIT"
] | permissive | sneakythumbs/flashcards | ff86d3fd2d9ce678be0e6475b66db99ee2ccced4 | b93e93981dc6529cb3c139278708e1027f730858 | refs/heads/master | 2021-01-22T09:47:40.544430 | 2015-04-29T19:51:17 | 2015-04-29T19:51:17 | 34,813,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 658 | py | import sys
import fileinput
from pylab import *
header = True
column = -1
prompt = raw_input("Enter the filename(s) to be read:\n")
files = prompt.split(", ")
for line in fileinput.input(files):
s = line.split("\t|\t")
if header:
print"Select language to sort by:",
for word in s[:-1]:
print "[" + word + "... | [
"sneakythumbs@users.noreply.github.com"
] | sneakythumbs@users.noreply.github.com |
71f27e6f44fc1dfef7571b27982acccf33236218 | 96dcea595e7c16cec07b3f649afd65f3660a0bad | /homeassistant/components/ring/siren.py | 7f1b147471d271411715ee41520529c0afef4805 | [
"Apache-2.0"
] | permissive | home-assistant/core | 3455eac2e9d925c92d30178643b1aaccf3a6484f | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | refs/heads/dev | 2023-08-31T15:41:06.299469 | 2023-08-31T14:50:53 | 2023-08-31T14:50:53 | 12,888,993 | 35,501 | 20,617 | Apache-2.0 | 2023-09-14T21:50:15 | 2013-09-17T07:29:48 | Python | UTF-8 | Python | false | false | 1,678 | py | """Component providing HA Siren support for Ring Chimes."""
import logging
from typing import Any
from ring_doorbell.const import CHIME_TEST_SOUND_KINDS, KIND_DING
from homeassistant.components.siren import ATTR_TONE, SirenEntity, SirenEntityFeature
from homeassistant.config_entries import ConfigEntry
from homeassist... | [
"noreply@github.com"
] | noreply@github.com |
d20193ef0287422fa66d20f0836d9d60526f6e1a | 61e300590cde2b01ec7834275087e7c408e8afec | /carts/views.py | 0b392b011ce9b329661e2a8ea25b9a1f000aaadd | [] | no_license | nabhanda/shopwithus | 7c4f450765b0b63018f20ece8cc933cf58c132d8 | 37f178f39090d4f7c25320aecf9455dbce657670 | refs/heads/master | 2020-03-23T22:47:41.514598 | 2018-10-12T13:07:26 | 2018-10-12T13:07:26 | 142,197,984 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,781 | py | from django.http import JsonResponse
from django.shortcuts import render, redirect
from accounts.forms import LoginForm, GuestForm
from accounts.models import GuestEmail
from orders.models import Order
from product.models import Product
from billing.models import BillingProfile
from addresses.forms import AddressForm
f... | [
"nabhanda@oradev.oraclecorp.com"
] | nabhanda@oradev.oraclecorp.com |
7332bb72184308f1c755b9859e825e727dc18a52 | 2205363ea412aae36aa2c5f8b7d608cd8a158a03 | /Personal_Blog/Pb/Pb/settings.py | d3f8de8c66bb1455f934b84f6bb3190cd42b086b | [] | no_license | Akanksha2403/HacktoberFest2020 | 986ef7ba5595679085e5159d35c5a30d9e91ebc5 | 789762e3a4a3ad23fd2c1ca3b6cc3bc8f39eed82 | refs/heads/master | 2023-08-28T04:25:07.466359 | 2021-10-20T10:16:46 | 2021-10-20T10:16:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,674 | py | """
Django settings for Pb project.
Generated by 'django-admin startproject' using Django 3.2.6.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
import ... | [
"lit2020026@gmail.com"
] | lit2020026@gmail.com |
38ffeefe71c4acb79a5a838efeb26765465afa7f | 159d4ae61f4ca91d94e29e769697ff46d11ae4a4 | /venv/bin/iptest | 62ac6036fc5f261d69ea933bb91ed9bee7ded5ca | [
"MIT"
] | permissive | davidycliao/bisCrawler | 729db002afe10ae405306b9eed45b782e68eace8 | f42281f35b866b52e5860b6a062790ae8147a4a4 | refs/heads/main | 2023-05-24T00:41:50.224279 | 2023-01-22T23:17:51 | 2023-01-22T23:17:51 | 411,470,732 | 8 | 0 | MIT | 2023-02-09T16:28:24 | 2021-09-28T23:48:13 | Python | UTF-8 | Python | false | false | 269 | #!/Users/yenchiehliao/Dropbox/bisCrawler/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from IPython.testing.iptestcontroller import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"davidycliao@gmail.com"
] | davidycliao@gmail.com | |
f9d21162737f40168c323f56d4a303bf6211ce0c | c6d89d2507efe02ead1802649a769e021795b2b6 | /categories/context_processors.py | cb9c2687489bdc34c2746a89d05b11c34a37b16c | [] | no_license | ikonitas/pleasuresallmine | b671b05d2f13428973cc19d39e58d0b56d1914f0 | 875e6067a202be801a9b1fddb27c4d313fd133f4 | refs/heads/master | 2021-05-29T19:50:39.812885 | 2014-11-27T21:22:22 | 2014-11-27T21:22:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | # coding=utf-8
from django.core.cache import cache
from models import Category
def list_categories(request):
categories = cache.get('list_categories')
if not categories:
categories = Category.objects.filter(
is_active=True).order_by('sort_order')
cache.set('list_categories', cate... | [
"ikonitas@gmail.com"
] | ikonitas@gmail.com |
29511c1e8bcf903725d957b2e420756cc1908ad8 | 29d7ba390d4b6046666f783e682ea248108ea900 | /cbagent/__main__.py | 09669d3c032cc65f432c457e3e7024f81dfcc2cd | [
"Apache-2.0"
] | permissive | pavel-paulau/cbagent | 5f289fbaf08b997b55d270944d67f716ec1a127a | f905974d663e0320e55a00076d292cbf489e53d9 | refs/heads/master | 2020-04-26T09:55:43.761203 | 2014-07-31T12:41:18 | 2014-07-31T12:41:18 | 13,084,444 | 2 | 1 | null | 2014-06-19T02:15:22 | 2013-09-25T04:52:21 | Python | UTF-8 | Python | false | false | 2,380 | py | import sys
from optparse import OptionParser
from cbagent.collectors.active_tasks import ActiveTasks
from cbagent.collectors.iostat import IO
from cbagent.collectors.latency import Latency
from cbagent.collectors.observe import ObserveLatency
from cbagent.collectors.net import Net
from cbagent.collectors.ns_server imp... | [
"pavel.paulau@gmail.com"
] | pavel.paulau@gmail.com |
e170f688e59520f390ab02a6b3e1b52b161b747b | 66bfac516682bc8c3c804a5b7414cfc8b3440186 | /leads/apps/leads/serializers.py | 5e9d220555f6c26071a166a7b386b109ee1a7eb8 | [] | no_license | Izaiasjun1Dev/leads | 190d1bf01f1809c34cb53582e0f1020c3d704b58 | 22a209b43fd0eb60218deba731c9bf189ea9568a | refs/heads/master | 2023-04-05T15:15:39.834194 | 2021-03-30T11:35:36 | 2021-03-30T11:35:36 | 352,966,370 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 203 | py | from rest_framework import serializers
from .models import Lead
# Serializador lead
class LeadSerializer(serializers.ModelSerializer):
class Meta:
model = Lead
fields = '__all__'
| [
"solucaoprogramer@gmail.com"
] | solucaoprogramer@gmail.com |
9f1290f7f6f31c7b9141d7a8df5c908e18069708 | 28d74e08aeacf3703ab739849164e3f35f9af2a3 | /CUNY_ML_Course_CSC74020/Logistic Regression & Regularization/log_reg_book.py | c71385fcc0dbe1c06b9fd36e1807ff989c985224 | [] | no_license | wfeng66/Machine-Learning | 5ef87b2149bdf50e7516e808c86176b8c7aeb900 | de85d596ee97e7234d338ce47ee2addca56ccb89 | refs/heads/master | 2022-07-01T09:11:02.803824 | 2022-06-25T00:35:24 | 2022-06-25T00:35:24 | 173,125,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,788 | py | '''
create a logistic regression from scratch
including feature transform, PCA
apply Breast cancer data set
'''
import numpy as np
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
class log_reg():
def __init__(self, lr=0.25, epoch=100000, batch_size=4, fold=5, init='random')... | [
"weicongf73@gmail.com"
] | weicongf73@gmail.com |
21df3f525aa8018d4988caa7395c9afa3a066060 | 18596ac4d79761a60e118c915378e0bb71bf0244 | /dangxuanENV/Scripts/dangxuan/apps/televisions/models.py | 9f2a88c225eb8c4170089c2a9ae0da4fea8f624f | [] | no_license | I-AM-DESPERADO/DjangoDemo | 06fdf5ecaa88a3b24d0368f95962a57c8ed85ff7 | 012edd11ee671211f52917d5b57dc480b5f7ad24 | refs/heads/master | 2021-09-07T11:21:55.586979 | 2018-02-22T06:20:26 | 2018-02-22T06:20:26 | 104,620,735 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,091 | py | # _*_ encoding:utf-8 _*_
from __future__ import unicode_literals
from datetime import datetime
from django.db import models
class TelivisionProgram(models.Model):
television_title = models.CharField(verbose_name=u'电视节目名称', max_length=255)
note = models.CharField(verbose_name=u'描述', max_length=255,null=True)... | [
"1569890780@qq.com"
] | 1569890780@qq.com |
181e07eb777edf892a8df8abc17d2ad592bd5481 | 7d8ad9e28a7c8bfe310e76eadaa866927d02cb63 | /backtesters/bollinger_momentum.py | 36f0ac71c1b724552a4363296ce3820bb1a468c1 | [
"MIT"
] | permissive | boochi046/crypto-price-analysis | 9b671abef2c39739d4e29de98427fc419e0119b9 | e9985479bb0e0128ce38cec48b870f3d1868b034 | refs/heads/master | 2020-04-14T02:36:58.276069 | 2018-12-19T15:51:40 | 2018-12-19T15:51:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,587 | py | '''Backtest Moving Average (MA) crossover strategies
'''
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import timedelta
import talib
from backtester import Backtester
class BollingerMomentum(Backtester):
'''
Momentum strategy based on b... | [
"daniel@blackhatmedia.com"
] | daniel@blackhatmedia.com |
8cd2cc4ef6bde6bb958a5160732122d1e4d5c2af | b46513de1a1fe8eadbd01518fc6b8067de277aee | /vdbm/dumb.py | 242e9f060e0925f6dc82f8bc9f9bc41d641c8dc1 | [] | no_license | vrthra/taint-demo | b4b83f28727341d1723df1157e8a8ac67fc69097 | 9eb50f214dc5178b27ba7e4945441b31091037f9 | refs/heads/master | 2021-08-30T23:21:00.371936 | 2017-12-19T20:16:05 | 2017-12-19T20:16:05 | 114,804,336 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,187 | py | """A dumb and slow but simple dbm clone.
For database spam, spam.dir contains the index (a text file),
spam.bak *may* contain a backup of the index (also a text file),
while spam.dat contains the data (a binary file).
XXX TO DO:
- seems to contain a bug when updating...
- reclaim free space (currently, space once o... | [
"rahul@gopinath.org"
] | rahul@gopinath.org |
412d94ad7ce1d9d7b92b6406d8aa5350f3f77fe9 | 2e79b8f2e4cc5ea10789de787f787fdc56137993 | /leetcode/438.找到字符串中所有字母异味词.py | e1f674a878c118e39a1c3fa3bfafdb8b51fc9564 | [] | no_license | wangye707/Test | d486ccb0947f6a83662a73fb56554260d1445c30 | 0d5fb8ea7da79d7d168d99f7158c8aa5757a1d35 | refs/heads/master | 2020-06-04T05:48:46.132054 | 2020-04-28T14:53:30 | 2020-04-28T14:53:30 | 191,894,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,025 | py | #!D:/workplace/python
# -*- coding: utf-8 -*-
# @File : 438.找到字符串中所有字母异味词.py
# @Author: WangYe
# @Date : 2019/9/25
# @Software: PyCharm
def findAnagrams(s, p):
"""
:type s: str
:type p: str
:rtype: List[int]
"""
out = []
need = {}
for i in p:
if i in need:
need[i] +... | [
"1119744330@qq.com"
] | 1119744330@qq.com |
dbdee5eef5cc684505c11a610e47fa8b0e522e5e | d6529fb62de5f5b41ba46c49bb73dd8ae9bb4194 | /tools/conversion/Converter.py | 35dbd564005fc1bdbda16dd1f0e3123683adc3a9 | [
"MIT"
] | permissive | Blackdevil132/aes | 45fb3d6b880fc9697c96c095c2283f78518fab67 | 4c1226ff2946ea9da9cea43e441c9cfda12ca972 | refs/heads/master | 2021-01-01T19:54:22.495680 | 2020-01-05T12:15:21 | 2020-01-05T12:15:21 | 98,718,294 | 0 | 0 | null | 2017-07-29T21:59:23 | 2017-07-29T08:05:55 | Python | UTF-8 | Python | false | false | 4,796 | py | from typing import List, Sequence
from tools.datatypes.State import State
from tools.datatypes.Byte import Byte
hexcToInt = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7,
'8': 8, '9': 9, 'a': 10, 'b': 11, 'c': 12, 'd': 13, 'e': 14, 'f': 15, }
hexcToBin = {'0': '0000', '1': '0001', '2':... | [
"larsbengel@uni-koblenz.de"
] | larsbengel@uni-koblenz.de |
df3b159fcb643903c95d367dee0173bd363b6814 | 685dbb4416caf20f3e7e9c701df35088cb308d98 | /pen_blink_detection/haar_face&eyedetection.py | b30f660c73698ceaca1c7994ef464cb5163f5785 | [] | no_license | cseho67/2020_senior_project | e4469afa9ee488c5d406c5bd037c20542133ff9d | a653c9751315cfb5d6a8713ea46e13cae964aa67 | refs/heads/master | 2023-03-23T09:55:31.328411 | 2021-03-12T11:28:22 | 2021-03-12T11:28:22 | 297,645,550 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,455 | py | import numpy as np
import cv2
def detectAndDisplay(frame) :
frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
frame_gray = cv2.equalizeHist(frame_gray)
faces = face_cascade.detectMultiScale(frame_gray)
for (x,y,w,h) in faces :
center = (x + w//2 , y + h //2 )
frame = cv2.rectangle(... | [
"48603413+cseho67@users.noreply.github.com"
] | 48603413+cseho67@users.noreply.github.com |
5946ceacec2ae4a3be3c157b5b5d605114c3ed7c | e0f0379c84b858959950fa25c19a80c453ec05b5 | /main.py | 8a3fea249dc3b5421d5da29f208a66712c538d0b | [] | no_license | fuwalab/popular-noun | 26e87362f58dae0b2447cd1e8580115d075c0bc6 | 0d4964938ea8a4a2a9c946fe60de7abab0ae7911 | refs/heads/master | 2020-04-14T23:44:53.671033 | 2019-01-08T14:49:04 | 2019-01-08T14:49:04 | 164,214,388 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | #!/usr/bin/env python
from scraping import Scraping
from datetime import datetime
from lib.analyze import Analyze
from joblib import Parallel, delayed
def main():
providers = [
'naver',
]
"""スクレイピングした内容をテーブルに保存する"""
# Parallel(n_jobs=1, verbose=0)([
# delayed(Scraping.run)(Scraping(),... | [
"ryo.tsugawa@gmail.com"
] | ryo.tsugawa@gmail.com |
ee2c0aca4610558fbd930ddc73708712cf37de3f | 7260b155bef0a6ea3454ea1a8d05c945db98b57a | /scripts/topic.py | 784af7b326871561334aab1e389d3250935cd990 | [] | no_license | freddie1129/web-enron-project | a0ad2a9e394daa8b3d31b052d15d60cb3e6591a0 | cdbfbecf69d4af0972bc3ffb5e5547357175acdf | refs/heads/master | 2020-03-23T12:29:48.304308 | 2018-11-12T14:51:11 | 2018-11-12T14:51:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,366 | py | #import spacy
#spacy.load('en')
from spacy.lang.en import English
parser = English()
def tokenize(text):
lda_tokens = []
tokens = parser(text)
for token in tokens:
if token.orth_.isspace():
continue
elif token.like_url:
lda_tokens.append('URL')
elif token.o... | [
"freddiechenchen@gmail.com"
] | freddiechenchen@gmail.com |
cc8e6f027c3f9a654091243124118655bba7ed21 | 0da2927420dec6003c7e745422ac708f2df6a129 | /FormatowanieTekstu.py | 19999ca8c82b8da164285161491f573cd05e3e6b | [] | no_license | KamilJantos/Python_I | a37bafc0ded945dd4fd2f303fe51ad0ee870fb0c | 660563015f01171c92a740b5b6437f09160a3030 | refs/heads/master | 2022-12-25T19:30:34.394224 | 2020-10-12T15:42:08 | 2020-10-12T15:42:08 | 303,437,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,903 | py | # formatowanie znane z Pythona 2.x
wyznanie = "Lubię %s" % "Pythona"
print(wyznanie)
wonsz = "Python"
print("Lubię %sa" % wonsz)
print("Lubię %s oraz %sa" % ("Pythona", wonsz))
# %s oznacza, że w miejsce tego znacznika będzie podstawiany ciąg tekstowy
# %i - to liczba całkowita
# %f - liczba rzeczywista lub inaczej zmi... | [
"kamil.jantos7@gmail.com"
] | kamil.jantos7@gmail.com |
bd879dda1376bcb95331072006ffddb2e26bf6e4 | e0c176d11c7582158f1ab9722b3d1e71761f6b1a | /src/eqc/zholkovskij.py | 59e5d6d7f9eeb80d339ecabc602302f6803570c7 | [
"MIT"
] | permissive | robbje/eis | 93a199cfa52460707a84c037c7cb9ea0ad27732a | a7e0cac9e00e57f605cd9d9536d385a3f632e506 | refs/heads/master | 2021-01-18T22:24:42.178465 | 2016-07-11T08:55:55 | 2016-07-11T08:55:55 | 38,840,651 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,930 | py | import numpy as np
# Implements parts of the analytical transmission line models found in
# "Irreversible Thermodynamics and Impedance Spectroscopy of Multilayer Membranes" - E. Zholkovskij
# http://dx.doi.org/10.1006/jcis.1995.1034
def tanh(x):
np.seterr(all='raise')
try:
y = np.tanh(x)
except:
... | [
"robert.femmer@avt.rwth-aachen.de"
] | robert.femmer@avt.rwth-aachen.de |
1a5b1416d35a4f87113659da2f108d396f184d69 | ab5a01f0fef7f3d824aa2adead9d3e5ed4e48037 | /UtilitySplit/venv/bin/flask | 444bb9f13ad9e69a8a712bcde7a829a81d8f3a93 | [] | no_license | bob7479/UtilitySplit | 41ee0dc94a10dfcd6ab46a336709df82da046051 | 3837984b13ffbd55b5a327ea95d33748d500fb96 | refs/heads/master | 2020-08-03T18:06:44.517823 | 2016-12-23T04:10:24 | 2016-12-23T04:10:24 | 73,541,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 252 | #!/Users/macbook/Documents/CalHacks/flaskr/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from flask.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"macbook@airbears2-10-142-157-15.airbears2.1918.berkeley.edu"
] | macbook@airbears2-10-142-157-15.airbears2.1918.berkeley.edu | |
c623380ca8277769f08041e14cc66374a1963eb7 | 5be7afab3f57b7b5365053700386c01bad7031e6 | /quotes.toscrape.com/1.2.quote_web_scraping/spiders/quotes_spider.py | 16b47d33a8206b7bb7caf819229b34ef62e264fb | [] | no_license | enji-coder/SCRAPY-PROJECTS | c0c76e1ef8697320a0cb9b3fa9155a158574a5c1 | bd65e6f3cf83912bc082ef39aba702db6cc4465c | refs/heads/main | 2023-06-20T19:11:36.764847 | 2021-08-04T04:39:08 | 2021-08-04T04:39:08 | 386,542,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | import scrapy
class ExampleSpider(scrapy.Spider):
name = 'quotes'
allowed_domains = ['example.com']
start_urls = ['http://quotes.toscrape.com']
def parse(self, response):
all_quotes = response.css('div.quote')
# retrive all quotes title , author and tag details
# note it re... | [
"47570231+enji-coder@users.noreply.github.com"
] | 47570231+enji-coder@users.noreply.github.com |
e6ea0a18c418751b3458be9dd1196e1a7f5514d0 | 2d13b3206b04d663eed9c5cfe7b6d273abaab33e | /2.Algorithm/pycharm/SW Academy/20200309/harvest.py | 89098f8eaff5f7281c33299f947b60d69d741907 | [] | no_license | hdp0545/TIL | 0ba5378274f0076cd2b029581b292785a77207da | 6d6e5e54373bd71606823e97b3a5fb2d63a2784e | refs/heads/master | 2023-05-24T12:37:33.690750 | 2023-05-19T06:57:49 | 2023-05-19T06:57:49 | 235,004,133 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 316 | py | for test_case in range(1, int(input())+1):
N = int(input())
matrix = [list(map(int, [n for n in input()])) for _ in range(N)]
result = 0
c = N // 2
for i in range(N):
di = (N//2) - abs(i - (N//2))
result += sum(matrix[i][c-di:c+di+1])
print('#{} {}'.format(test_case, result)) | [
"hdp0545@gmail.com"
] | hdp0545@gmail.com |
1fa53956af9d567b5bb6cde0572f8a7cb11d736f | 70121257e52e0fd2f0895414fcee3c991737443a | /python_recipes/tfpreprocess_cifar.py | 33aaef3fdca4998831ffa5306a3bf25f080ae646 | [] | no_license | OlgaBelitskaya/cookbooks | 2e54208bb5e5157814deea6ff71cd7ce5b1e4972 | 216dde3e5617203371ed4c4bb7d9e8391640c588 | refs/heads/master | 2021-07-11T15:56:44.923442 | 2021-03-25T08:38:46 | 2021-03-25T08:38:46 | 99,447,645 | 0 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,672 | py | import warnings; warnings.filterwarnings('ignore')
import tensorflow as tf,numpy as np,pandas as pd
import tensorflow_datasets as tfds
from IPython.display import display,HTML
pd.set_option('precision',3)
tf.keras.backend.set_floatx('float64')
tfds.disable_progress_bar()
img_size=32
buffer_size,batch_size=10000,64
c1,... | [
"safuolga@gmail.com"
] | safuolga@gmail.com |
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