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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8c98d2aa767bafa8ef8cf224690564287b4da0e3 | c6abd5db21dbe5799754c8fd501e145da1d6e74f | /utils/utils_image.py | 896aed2ff991f0f7d64e0020ee3a2fb46092c92f | [] | no_license | tomtirer/IDBP-python | 1beb7dcdda7afa8b64c3f1c4e8b88ab554e732da | 471062551264d2504acb1c489d8de303169c1814 | refs/heads/main | 2023-06-10T04:20:05.606928 | 2021-07-04T21:26:18 | 2021-07-04T21:26:18 | 382,945,112 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,049 | py | import os
import math
import random
import numpy as np
import torch
import cv2
from torchvision.utils import make_grid
from datetime import datetime
# import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import os
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
'''
modified by Kai Zhang (github: ht... | [
"noreply@github.com"
] | noreply@github.com |
2146132029e154c9162b74995f0cf34f0ef3342e | 60654caf2633613021470d0285817343f76223e5 | /daily_catch/public_update/config.py | 566a37dc4796f6f4c390e00778aea0555a926b77 | [] | no_license | whoiskx/com_code | 79460ccee973d1dfe770af3780c273e4a0f466c9 | 388b5a055393ee7768cc8525c0484f19c3f97193 | refs/heads/master | 2020-04-09T23:14:28.228729 | 2018-12-06T07:10:25 | 2018-12-06T07:10:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 641 | py | # -*- coding: utf-8 -*-
import os
read_ver_url = 'http://dispatch.yunrunyuqing.com:38082/resources/sourceVersion/weixin/version.txt'
download_url = 'http://dispatch.yunrunyuqing.com:38082/resources/sourceVersion/weixin/public_update.zip'
base_path = os.path.dirname(os.path.abspath(__file__))
core_spider_path = os.pa... | [
"574613576@qq.com"
] | 574613576@qq.com |
009c2f80f9980fd30b33b1b39d0b96a77e5c484a | 2d0b009f8b8560a1348a9feca2fb78d1a3616b45 | /pandair_application_final.py | 8ffa629c568038f91a23360560e2b819d7c5f41a | [] | no_license | EvaChitul/pandair_app | 03f4a66bb34ebf82d3cfd220f8ad9dbb81e86244 | e37d4919ea38ae9d24b17307f25b2ede97fa2586 | refs/heads/main | 2023-03-10T15:47:46.195624 | 2021-02-21T14:55:52 | 2021-02-21T14:55:52 | 320,321,339 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,193 | py | import itertools
import logging
import time
import datetime
fleet_database_check = set()
flights_log_database = {}
regional_fleet = {}
logging.basicConfig(level=logging.DEBUG, filename=f'{datetime.date.today()}_pandair_logging')
log = logging.getLogger('Pandair Airline')
class Aircraft:
def __init__(self, manu... | [
"noreply@github.com"
] | noreply@github.com |
0b313513a4e40c31df181c98f2e15203095458e5 | 9bfd93b93531c7d66335fffded2d00db0c1f8935 | /blog_censurfridns_dk/blog/translation.py | 9e8157edd7537f26fe16f55c391113b0d9039730 | [] | no_license | mortensteenrasmussen/blog.censurfridns.dk | 7d5da3961b6abf4124fddba7b1fdf5a4fc014c2c | 53939dee90ad5028256aace4c876d38695ec9e07 | refs/heads/master | 2021-01-14T14:23:17.443442 | 2016-08-29T20:11:22 | 2016-08-29T20:11:22 | 65,412,684 | 0 | 0 | null | 2016-08-10T20:03:31 | 2016-08-10T20:03:31 | null | UTF-8 | Python | false | false | 412 | py | from modeltranslation.translator import register, TranslationOptions
from .models import BlogPost
from taggit.models import Tag
@register(BlogPost)
class BlogPostTranslationOptions(TranslationOptions):
fields = ('title', 'body', 'slug')
required_languages = ('en', 'da')
@register(Tag)
class TaggitTranslatio... | [
"thomas@gibfest.dk"
] | thomas@gibfest.dk |
fe7908aeabd98e2aefcd834864ebcb28ee36506e | a1bbb55b0be9aa69f456256b2107dbf5b35b640b | /Machine Learning Engineer Nanodegree/Core Curricula/Unsupervised Learning/PCA Mini-Project/pca/eigenfaces.py | a75c577b9d31ce3cf689740de1b8892fd21f3fae | [] | no_license | theodoreguo/Udacity | bc7599ed3f6b7e3d7bc03263443fb4b419cc03f0 | 8312d5aa35126cc0f222c6b4ae26b2bde6d9ae22 | refs/heads/master | 2021-07-05T12:17:51.412698 | 2018-01-27T08:07:12 | 2018-01-27T08:07:12 | 96,605,467 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,237 | py | """
===================================================
Faces recognition example using eigenfaces and SVMs
===================================================
The dataset used in this example is a preprocessed excerpt of the
"Labeled Faces in the Wild", aka LFW_:
http://vis-www.cs.umass.edu/lfw/lfw-funneled.tgz (2... | [
"jsguozitong@gmail.com"
] | jsguozitong@gmail.com |
e43dc1c4687a848c69bf66702ed69a995ab3c08f | 1291b1974904918accf29f87c2d303e679297e03 | /038comp2dates.py | 8f57b80d77fd8950587bb9796dea50f4a02bffb6 | [] | no_license | utkarsh192000/PythonAdvance | 853a594ed678c462d9604a8bd6300aa0449dd610 | e2e5f3059050b94f2e89ba681ddd6e3f01091b97 | refs/heads/master | 2023-04-05T09:42:34.942443 | 2021-04-04T19:07:18 | 2021-04-04T19:07:18 | 354,625,582 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 101 | py |
from datetime import *
d1=date(2021,3,23)
d2=date(2010,3,23)
print(d1<d2)
print(d1>d2)
print(d1==d2) | [
"iutkarshyadav192000@gmail.com"
] | iutkarshyadav192000@gmail.com |
7314a4d9d557e3691daec59e8b9e46b80d2baa04 | 3b000b60a40f40764714b1ef0165ef551c4e4ba2 | /tests/test_django_get_forms.py | cffed78d9d5fd8958cbba7c82584cddc56f590e3 | [
"BSD-3-Clause"
] | permissive | estebistec/django-get-forms | 7d765830faac297b07484f6a7cab9c08ac6e8d38 | dd97951766e2275c8b2b3155973192cbf465e968 | refs/heads/master | 2021-01-25T07:34:47.957983 | 2014-04-07T03:11:32 | 2014-04-07T03:11:32 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 427 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_django_get_forms
----------------------------------
Tests for `django_get_forms` module.
"""
import unittest
from django_get_forms import django_get_forms
class TestDjango_get_forms(unittest.TestCase):
def setUp(self):
pass
def test_somethin... | [
"estebistec@gmail.com"
] | estebistec@gmail.com |
8cb138171fb97a6c77d5430f0173327daaf88d9e | 67f1620411d959781c1e9e349a00a885cc3031c6 | /Pandas_session (2).txt | 8b08d7d6ef81c768c3009f4690462db533121980 | [] | no_license | Jyoti-27/Python_Study_Materials | 9e9bef5b589ea2875834a9c4fb50816ec2413f6e | 364d5b66540e12d9787cfd106e4c00b2ff7c84d8 | refs/heads/main | 2023-02-25T16:10:50.982517 | 2021-02-04T19:08:17 | 2021-02-04T19:08:17 | 336,055,362 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36,494 | txt | #!/usr/bin/env python
# coding: utf-8
# In[3]:
import numpy as np
import pandas as pd
# In[3]:
print(pd.__version__)
get_ipython().run_line_magic('pinfo', 'pd')
# # Creation of Pandas Series
# In[4]:
series = pd.Series([0.2, 0.5, 0.75, 1.6]) #call the constructor and send the values... | [
"noreply@github.com"
] | noreply@github.com |
ad595cf02acfda9585e683c5ef2199d598f30910 | c7d354658353e20f46432b9c1a40744224365f4c | /test_moby.py | 3d5c95b8f6eefd32217f42923f9c7042db653033 | [] | no_license | c11z/or-the-whale | baf35db79621d06e1da5ee15f4a64ba2701cff90 | d76036aaa03ea5497a6fa3d61efb58de096b43ef | refs/heads/master | 2022-09-14T10:30:28.942779 | 2020-03-23T01:26:19 | 2020-03-23T01:26:19 | 152,700,060 | 0 | 0 | null | 2022-08-22T23:42:27 | 2018-10-12T05:48:18 | HTML | UTF-8 | Python | false | false | 397 | py | from moby import Moby
TEST_PATH = "/script/data/test.txt"
def test_init_no_limit():
t = Moby("testbook", TEST_PATH)
assert len(t.ch_text.keys()) == 2
assert len(t.ch_doc["chapter_1"]) == 12
assert len(t.ch_doc["chapter_2"]) == 12
def test_init_w_limit():
t = Moby("testbook", TEST_PATH, 1)
a... | [
"corydominguez@gmail.com"
] | corydominguez@gmail.com |
5a8c7b455587292892a64bea88f4dad7baa836f6 | 271e44ac22fc2778bcbf1d25f6e593864cac1a28 | /10_1/textread.py | 7803e9638d3b72e78b3e684a60a520be8d04f59f | [] | no_license | yinhao5969/Python-study | d018bbc639922f6259bcb999dbee991adc4687bc | 2316f487d817f3474a43bcafd2c23195d0bb39d3 | refs/heads/master | 2020-09-17T01:34:16.018193 | 2019-12-14T05:47:23 | 2019-12-14T05:47:23 | 223,948,231 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 972 | py | #10-1
file_name = 'python do what.txt'
with open(file_name) as file_object:
file = file_object.read()
print(file)
with open(file_name) as file_object:
lines = file_object.readlines()
for line in lines:
print(line)
with open(file_name) as file_object:
for item in file_object:
print(item)
#10-2... | [
"yinhao5969@icloud.com"
] | yinhao5969@icloud.com |
0282baa646e2c48a49c37b3d4c7c57ce6221be3e | 8712509880af7544115733099861ac3bb9e818cf | /DeepLearning_AndrewNg_coursera/1neural-network-deep-learning/assignment1/test2.1.py | 5cbecc7f8c8daf2293ddfc4a919e4cde7fc62f55 | [] | no_license | most-corner/deeplearning | 94152b111ccefeaa4317093f62e2616cad90d4af | aefe5542cc46f285b4ff34e90212a0e29cc2f5c5 | refs/heads/master | 2020-06-11T22:30:44.216540 | 2019-07-01T14:21:10 | 2019-07-01T14:21:10 | 194,107,559 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | # L1
import numpy as np
def L1(yhat, y):
"""
Arguments:
yhat -- vector of size m (predicted labels)
y -- vector of size m (true labels)
Returns:
loss -- the value of the L1 loss function defined above
"""
loss = np.sum(np.abs(yhat-y))
return loss
yhat = np.array([.9, ... | [
"750315795@qq.com"
] | 750315795@qq.com |
53cc948a777e59d5aae918f523f52b94ac11c8e3 | edab237d44998a3671beac415bedd97f870bafd9 | /scribeui_pyramid/static/lib/proj4js/tools/pjjs.py | 5b79d585fd0ab9aa110d1cf09e1d59ba904e193f | [
"MIT"
] | permissive | mapgears/scribeui | ede35bfe4f2e41d9eb42f88242a9839c30fa53d8 | f7e917236c088cad265a94210a0031f7d7be4a71 | refs/heads/master | 2023-08-07T03:03:34.017894 | 2020-03-26T20:27:33 | 2020-03-26T20:27:33 | 10,671,138 | 12 | 7 | MIT | 2023-02-02T07:14:59 | 2013-06-13T17:04:40 | JavaScript | UTF-8 | Python | false | false | 3,061 | py | #!/usr/bin/env python
#
# TODO explain
#
# -- Copyright 2007 IGN France / Geoportail project --
#
import sys
import os
import re
SUFFIX_JAVASCRIPT = ".js"
def _pjcat2js_remove(rezDirectory,catName,targetDirectory):
pjCatFilename = os.path.join(rezDirectory, catName)
pjCat = open(pjCatFilename,'r')
commen... | [
"cbourget@mapgears.com"
] | cbourget@mapgears.com |
6d776f7423961968bb562001dd0866a7c64ecf22 | d0e94f036e780ed8b1d34871dd6956f7f25dcfca | /game/migrations/0001_initial.py | b899b4c5bd81562a3c33abce797aa05f4350646f | [] | no_license | kikiyuyu/datavisual_django2 | 59b689ee1e6c7cacc56fabe4174a7824131a74d5 | a840530d1416a4aa8ff75523b9145b0d08a61166 | refs/heads/master | 2020-04-04T23:21:41.290294 | 2018-11-08T09:00:43 | 2018-11-08T09:00:43 | 156,356,042 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 517 | py | # Generated by Django 2.1.3 on 2018-11-08 01:27
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Game',
fields=[
('id', models.AutoField(aut... | [
"yu.wang@fanyoy.com"
] | yu.wang@fanyoy.com |
56355f3875195391f7293db4127fc87bb679e048 | 55aa8fd35ffb28da8d834e8f0ac1470ffa9bcd4d | /arithmetic.py | 22dc261b12820a3345bacd318540903c108692bc | [] | no_license | paszczureKk/Elliptic-Curve-Digital-Signature-Algorithm | 430800476720763a0c5aa185a5c1194723894c4c | 3cec29591b8f89f49399b07032b79c2f7825898e | refs/heads/master | 2020-05-30T07:35:00.902771 | 2019-05-31T13:49:40 | 2019-05-31T13:49:40 | 189,601,415 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 545 | py | #!/usr/bin/python
import sys
result = 0
var1 = int(sys.argv[2],16)
var2 = int(sys.argv[3],16)
if sys.argv[1] == "sum":
result = var1 + var2
elif sys.argv[1] == "sub":
result = var1 - var2
elif sys.argv[1] == "div":
result = var1 / var2
elif sys.argv[1] == "fdiv":
result = var1 // var2
elif sys.argv[... | [
"dszynszecki@wp.pl"
] | dszynszecki@wp.pl |
bf1ede23da3e02e00b2cf1c77c17765bc71ab71a | b39d72ba5de9d4683041e6b4413f8483c817f821 | /GeneVisualization/ass1/Lib/site-packages/itk/itkAggregateLabelMapFilterPython.py | 0dbdcf699057bdee2b4e73071db281a38799bb72 | [] | no_license | ssalmaan/DataVisualization | d93a0afe1290e4ea46c3be5718d503c71a6f99a7 | eff072f11337f124681ce08742e1a092033680cc | refs/heads/master | 2021-03-13T05:40:23.679095 | 2020-03-11T21:37:45 | 2020-03-11T21:37:45 | 246,642,979 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,395 | py | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.8
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3, 0, 0):
new_instancemethod = lambda func, inst, cls: _itkA... | [
"44883043+ssalmaan@users.noreply.github.com"
] | 44883043+ssalmaan@users.noreply.github.com |
d7c0d7693181b79f9f44abbeaedd2d8e7988f5ff | caa14cf78fe15affc96acc3de6f4fb1b54bcdf70 | /sap/sap/saplib/tests/test_saputils.py | 6eec437d874842f6cbed599b9adb923e141e3f69 | [] | no_license | jesstherobot/Sycamore_FPGA | 2e3f0dea21482de87ea444506ae2af3f58b5a344 | d1096e15f07b17a8dcb2276e312c5ba3e0006632 | refs/heads/master | 2021-01-18T07:57:14.268157 | 2011-10-19T22:46:28 | 2011-10-19T22:46:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,689 | py | import unittest
import sys
import os
class Test (unittest.TestCase):
"""Unit test for saputils"""
def setUp(self):
os.environ["SAPLIB_BASE"] = sys.path[0] + "/saplib"
#print "SAPLIB_BASE: " + os.getenv("SAPLIB_BASE")
def test_create_dir(self):
"""create a directory"""
import saputils
result = saputil... | [
"cospan@gmail.com"
] | cospan@gmail.com |
b6ab8185b53278fef56ffa3e54f21c192f66c2c4 | 9071ca80e487ab7084059ea92a8a0ded2b70a2cd | /api/google-cloud-sdk/lib/googlecloudsdk/third_party/apis/cloudidentity/v1alpha1/cloudidentity_v1alpha1_messages.py | a815beaf99d8e57d32b09f5d804022b8f4b070a9 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | anishnuni/Hearo-WebApp | d1065be46e5736bb565f738f789afa099601231c | ead2faa234e876e717bedd727537e9666acb8b79 | refs/heads/master | 2022-07-09T12:59:57.823491 | 2019-11-22T04:18:05 | 2019-11-22T04:18:05 | 218,857,650 | 0 | 1 | null | 2022-06-21T23:20:04 | 2019-10-31T20:38:24 | Python | UTF-8 | Python | false | false | 29,832 | py | """Generated message classes for cloudidentity version v1alpha1.
API for provisioning and managing identity resources.
"""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py impor... | [
"billhuang0916@gmail.com"
] | billhuang0916@gmail.com |
b02ad13a170a0375b85c0f5765f94655c17bb902 | c144f32b20e63da289b40b8fa0488254822e8115 | /accounts/migrations/0002_userprofile.py | 49d6c25a35c56716c8d4d336983b1ff09497b7f0 | [] | no_license | emna-malek/shop | 9d1a40476d11f90d9a25513c29fe1b62633cfe18 | 5275291e3589fec2380d81d16152aca5623358d5 | refs/heads/master | 2022-06-02T23:09:24.471225 | 2020-05-03T14:35:34 | 2020-05-03T14:35:34 | 260,722,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,266 | py | # Generated by Django 3.0.3 on 2020-04-19 22:47
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('accounts', '0... | [
"noreply@github.com"
] | noreply@github.com |
f7ecbb6e60d58f81414014d4eb23c770a0e6acd9 | c4a8e44b171bbfcce4773fbd5820be40d991afab | /dispatcher_sample.fcgi | 299c4ad0e1726445c0909f317429f2fd66a4824f | [
"MIT"
] | permissive | sveetch/DjangoSveetchies | a2462c29839d60736077f647b3014396ce700f42 | 0fd4f23d601287dbfb5a93b4f9baa33481466a25 | refs/heads/master | 2021-01-01T20:48:08.824288 | 2013-03-10T12:14:56 | 2013-03-10T12:14:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 638 | fcgi | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
FastCGI dispatcher for development environment
"""
import sys, os
sys.path.insert(0, '/home/django/py_libs') # An optionnal path where is installed some Python libs
sys.path.insert(0, '/home/django/gits/') # Path to the directory which contains 'DjangoSveetchies'
# Specif... | [
"sveetch@gmail.com"
] | sveetch@gmail.com |
6843650bcdbb47de6fea60445c591ac5a3354c45 | 16c2d6ab5f4d8d453b48c50e82cfcf57c86bd9b5 | /CT-GANs/Theano_classifier/CT_CIFAR-10_TE.py | d439631fb881c372fd75b5e4475419e123b147a3 | [
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | jason096/CT-GAN | 221e5c3f475b6a132a3a48995b1482d23e4bc82f | 5ebc7e135307b77856926b5c8e0849aacf75c3c4 | refs/heads/master | 2020-10-02T08:40:43.955040 | 2018-04-28T23:59:19 | 2018-04-28T23:59:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,581 | py | import argparse
import time
import numpy as np
import theano as th
import theano.tensor as T
from theano.sandbox.rng_mrg import MRG_RandomStreams
import lasagne
import lasagne.layers as ll
from lasagne.init import Normal
from lasagne.layers import dnn
import nn
import sys
import plotting
import cifar10_data
from scipy... | [
"Bing@DESKTOP-U3JQ8RQ.localdomain"
] | Bing@DESKTOP-U3JQ8RQ.localdomain |
032e5734a831e772bdfff32f11217686a1c04444 | 2c851851595c45bb74dc3ee54c6fcb8930cced70 | /soojuspump.py | 122dc37e5bdf2ad6eb970199c31cd9f3c834fca4 | [] | no_license | RaivoKasepuu/UTpythonProject | 790c4c2f8f33c61959e37575ea734f08b1263671 | 67f63ae58421fada8689f9597090990e4bb01aae | refs/heads/master | 2023-01-30T19:49:24.414271 | 2020-12-16T12:10:34 | 2020-12-16T12:10:34 | 321,965,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,425 | py | import json
import time
from inputimeout import inputimeout, TimeoutOccurred
# NB! sisesta käsureal pip install inputimeout
# soojuspump on vaikimisi sisselülitatud.
# Raspberry puhul tähendab see et, konkreetse soojuspumba tööd
# juhtiva pin-i tase on "1":
deviceOn = True
try:
fileName = inputimeout('Sisesta and... | [
"raivokasepuu@gmail.com"
] | raivokasepuu@gmail.com |
fd89ac55a8ee527c7f1559161412d97ed0ce200e | 1fd00dfd486f9b184eb5d7b3578ab5b182b3742e | /end2you/training/end2you/end2you/tfrecord_generator/generator.py | d94de92149c035b31d093695613a8e390fa7772f | [] | no_license | dntai/MuSe2020 | a607dc33875d6eace092287882515cd7766c016a | 25be7fa868e6db40563161dc9ede200b5806fc48 | refs/heads/master | 2023-05-14T15:07:17.466731 | 2021-02-11T07:54:00 | 2021-02-11T07:54:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,619 | py | import csv
import os
import numpy as np
import tensorflow as tf
import copy
import sys
import re
sys.path.append("..")
from pathlib import Path
from io import BytesIO
from abc import ABCMeta, abstractmethod
from moviepy.editor import VideoFileClip, AudioFileClip
from ..rw.file_reader import FileReader
from functools i... | [
"stappen@ieee.org"
] | stappen@ieee.org |
62da721bc8ad43f04b7a9be6e96b270824ae74eb | 0b6a08b596bdceb97b64b69d3ea98ace038bf329 | /projects/migrations/0014_auto_20191027_0659.py | 8f511d4c7848e82d454ab5a93c1f01b518e88f61 | [] | no_license | sammydowds/projectautomation | 5806a3f1ca2cb9604433f658e90b41198f08322d | caec4774c2ae350f66a8e525729547bcc2cc9c97 | refs/heads/master | 2022-09-30T16:13:42.677455 | 2020-05-26T21:51:07 | 2020-05-26T21:51:07 | 167,870,654 | 0 | 0 | null | 2020-06-05T21:43:48 | 2019-01-27T23:26:50 | HTML | UTF-8 | Python | false | false | 2,110 | py | # Generated by Django 2.2.3 on 2019-10-27 11:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('projects', '0013_auto_20191017_0425'),
]
operations = [
migrations.RenameField(
model_name='project',
old_name='sche... | [
"sammydowds1993@gmail.com"
] | sammydowds1993@gmail.com |
fd3e5143b59240a71c1e3b8480a1b3ee447bf8b6 | c16c67a4f94490b60de17afd6a82237650d8a08a | /henry/environments.py | 1e5e4b4fba2415c63b84c09aaa90a40dd96895f1 | [] | no_license | kailIII/HenryFACTService | fc4305a992323139c14fd4c235ea8fea061fd6e7 | 328a47020099bd31631211c8662ee149fb853e4a | refs/heads/master | 2021-01-20T04:16:27.028413 | 2016-04-06T20:10:34 | 2016-04-06T20:10:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 951 | py | import datetime
import os
from jinja2 import Environment, FileSystemLoader
from henry.invoice.dao import PaymentFormat
from henry.misc import id_type, fix_id, abs_string, value_from_cents, get_total
def my_finalize(x):
return '' if x is None else x
def fix_path(x):
return os.path.split(x)[1]
def display_d... | [
"Han Qi"
] | Han Qi |
524a64d718c9a87331dcd95f4b5511761a102a97 | 3e397609ebd59d50ed0f9928e6bd039030e35f9a | /contract_api/lambda_handler.py | 4757ef1411c05ce3dff3425d4a41156dd03276bb | [] | no_license | prashantramangupta/marketplace | d8f64462668f1bb15c37fd52c17236d7565e5ae5 | acae91d90ec8626bc79ae46168c37a4d8bbab46a | refs/heads/master | 2020-06-05T15:48:19.063615 | 2019-06-26T05:28:16 | 2019-06-26T05:28:16 | 159,120,771 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,511 | py | import json
import logging
import re
import traceback
from schema import Schema, And
from common.constant import NETWORKS
from common.repository import Repository
from mpe import MPE
from registry import Registry
NETWORKS_NAME = dict((NETWORKS[netId]['name'], netId) for netId in NETWORKS.keys())
db = dict((netId, Rep... | [
"you@example.com"
] | you@example.com |
2085077660f03d47cd34ea2f24d5b600d7736f19 | b7661f8e74e6aec15a9eba85f90cf351005295dc | /plot_class.py | 5ed3353e25c4fde9f2dfe2624c30cfb9290648a1 | [
"MIT"
] | permissive | tabsa/P2P_market_MAD | 5f983e2961e6466c8d9756d4e7bab5bbbe9ee940 | ed54015a8dfd345e8b8de24928c408a01e63ff06 | refs/heads/main | 2023-07-13T05:40:00.684866 | 2021-08-28T17:52:29 | 2021-08-28T17:52:29 | 364,288,301 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,684 | py | ## Class for the plots
# This files contains the plots (as class) used in this repository.
# They are used in the P2P_market_sim.file or in the Jupyter notebooks
#%% Import packages
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import plotly.graph_objs as go
import plotly... | [
"tas.tiago.sousa@gmail.com"
] | tas.tiago.sousa@gmail.com |
699bfc4d77e051f4b0b9b95cde59fbb62b5cf72d | 4edbeb3e2d3263897810a358d8c95854a468c3ca | /python3/version/python_version.py | dec52afee6ab14dce005f6ae31bb0e544017de89 | [
"MIT"
] | permissive | jtraver/dev | f505d15d45b67a59d11306cc7252114c265f388b | 2197e3443c7619b856470558b737d85fe1f77a5a | refs/heads/master | 2023-08-06T02:17:58.601861 | 2023-08-01T16:58:44 | 2023-08-01T16:58:44 | 14,509,952 | 0 | 1 | MIT | 2020-10-14T18:32:48 | 2013-11-19T00:51:19 | Python | UTF-8 | Python | false | false | 672 | py | #!/usr/bin/env python3
#!/usr/bin/python
import os
import platform
import sys
import aerospike
def main():
print("\nos")
print("os.name = %s" % str(os.name))
print("sys.platform = %s" % str(sys.platform))
print("platform.platform() = %s" % str(platform.platform()))
print("\npython")
print("sy... | [
"john@aeropsike.com"
] | john@aeropsike.com |
ee4db2ca88503d29c70e9cbeb5e52c9f5bdaf050 | c22ed655a42ca61fc1212c493fc099c05e81c0c3 | /ray_dqn_agent.py | 34d8d16321e8c8db00da6292077d9126fcfc0188 | [
"MIT"
] | permissive | xiawenwen49/Multi-Commander | 89b5e969b0dfa4a9936f1c0c0dba2f9607a48d6f | 88d1e10f593f0a3edfcdd196e2142020487ce736 | refs/heads/master | 2020-06-25T17:09:46.124740 | 2019-08-12T12:00:55 | 2019-08-12T12:00:55 | 199,373,782 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,615 | py | import ray
import ray.rllib.agents.dqn as dqn
from ray.rllib.agents.dqn import DQNTrainer
from ray.tune.logger import pretty_print
import gym
import gym_cityflow
from gym_cityflow.envs.cityflow_env import CityflowGymEnv
from utility import parse_roadnet
import logging
from datetime import datetime
from tqdm import tqdm... | [
"xiawenwen49@gmail.com"
] | xiawenwen49@gmail.com |
ec204e589862d7db078962cf5fe0c41711f5cbcb | d2c4934325f5ddd567963e7bd2bdc0673f92bc40 | /tests/artificial/transf_Logit/trend_Lag1Trend/cycle_30/ar_12/test_artificial_32_Logit_Lag1Trend_30_12_20.py | b308b4cbc07f69e3c5a3e07412703d09b5786f7b | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | jmabry/pyaf | 797acdd585842474ff4ae1d9db5606877252d9b8 | afbc15a851a2445a7824bf255af612dc429265af | refs/heads/master | 2020-03-20T02:14:12.597970 | 2018-12-17T22:08:11 | 2018-12-17T22:08:11 | 137,104,552 | 0 | 0 | BSD-3-Clause | 2018-12-17T22:08:12 | 2018-06-12T17:15:43 | Python | UTF-8 | Python | false | false | 266 | py | import pyaf.Bench.TS_datasets as tsds
import pyaf.tests.artificial.process_artificial_dataset as art
art.process_dataset(N = 32 , FREQ = 'D', seed = 0, trendtype = "Lag1Trend", cycle_length = 30, transform = "Logit", sigma = 0.0, exog_count = 20, ar_order = 12); | [
"antoine.carme@laposte.net"
] | antoine.carme@laposte.net |
44bbd220a867b475b17b953f3f8b931f279851a6 | 76f55428277f1a951f648b202d5c6757bf9c446a | /utils/command_utils.py | 34d854f5bc8847615a2080e9a952c9a3bd523ee3 | [] | no_license | zdenekhynek/browser_snapshots | 5003378e01d73dbb877771097ad5ddb0a9aec997 | b63937032a0620f47b1f49fdd8e87ffd3a45a2d2 | refs/heads/master | 2023-01-30T14:10:48.321789 | 2018-12-02T22:39:32 | 2018-12-02T23:19:21 | 113,761,833 | 0 | 0 | null | 2023-01-12T23:55:40 | 2017-12-10T15:39:13 | Python | UTF-8 | Python | false | false | 1,091 | py | from races.models import RaceTask
from snapshots.models import Snapshot
def add_arguments(parser):
parser.add_argument('--limit', type=int)
parser.add_argument('--offset', type=int)
parser.add_argument('--override', type=bool)
parser.add_argument('--pk', type=int)
parser.add_argument('--race_id', t... | [
"zdenek@signal-noise.co.uk"
] | zdenek@signal-noise.co.uk |
ec158af26b75ab0538218f360d8b6e41684761a2 | 4fe6a2c93d0895ea6e9e531d00d3eaec5fae6e41 | /affineCipher.py | f51c2da30e0b0d5083a3c0da70bcb0e43546dd16 | [] | no_license | thesrikarpaida/Few-Cryptography-Algorithms | fd10d21bf151ef34bb1cf1ce3c89392fc511a1d6 | 9f2a3c9b55b6b0a796b097dd6565f320adab3a1a | refs/heads/main | 2023-05-14T21:18:25.127188 | 2021-06-10T09:01:56 | 2021-06-10T09:01:56 | 375,634,436 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,164 | py | # Affine Cipher encryption is the process of encrypting the data by multiplying each character
# with a key in Zn* and then adding a key in Zn.
print("--------------------\n--------------------\n--------------------\n")
print("In this program, we will encrypt the plain text using Affine Cipher.\n")
print("-------... | [
"noreply@github.com"
] | noreply@github.com |
4c95071a51fe02bb18a1115c68728b88ea01fed9 | bcf3ef8d1c22efbce5d60b5824a084fb72ad9fbf | /mysite/blog/models.py | c71d46206a813d9558698fe44491cf59247e4800 | [] | no_license | wzpchris/djangotest | 2c1295b394acd782c637823d1ac0efb018a47ff1 | b8e5fa0d02fd746c1d6aa61bf53b6cb211173c6a | refs/heads/master | 2021-04-06T02:34:26.148195 | 2018-03-09T15:26:47 | 2018-03-09T15:26:47 | 124,557,576 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 355 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
# Create your models here.
class Article(models.Model):
title = models.CharField(max_length=32, default="title")
content = models.TextField(null=True)
pub_time = models.DateTimeField(null=True)
def __unicode_... | [
"271737050@qq.com"
] | 271737050@qq.com |
c16433c538e011662ea8eceff59a1b1c276665c8 | 8200911f29e15c30ead299c5eaf78a0181a95098 | /swiper/migrations/0016_userprofile_receive_email.py | 3cd3c06aff93ea1a0afce9b17ed0385c5aca8d67 | [
"MIT"
] | permissive | GFynbo/GoudaTime | a1a02ff0063e76ff47bcde1953a1ed7d68a823bd | add6723fd42f01be8ca12eee0f86c99f5600d8b9 | refs/heads/master | 2021-09-07T08:17:10.422540 | 2018-02-20T03:31:49 | 2018-02-20T03:31:49 | 108,687,629 | 2 | 5 | null | 2017-10-31T22:55:17 | 2017-10-28T22:05:46 | Python | UTF-8 | Python | false | false | 450 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-02-11 00:03
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('swiper', '0015_group'),
]
operations = [
migrations.AddField(
m... | [
"gavfynbo@gmail.com"
] | gavfynbo@gmail.com |
712043d3b7115696d5bdd6313d0f7f1a528b8ed5 | 5aa93fb40c2b5f3f041094be5c67db72a38a8fe5 | /manage.py | 064aee261e8f6d7af01a257af05dfa810a644ef3 | [] | no_license | silviuz07/WebAtivLPC | 87dfee677493a1b40a908a29db9ac1260bccbde3 | 712ed5f70cdc981c409ea8d6a92294579dc3d303 | refs/heads/master | 2020-07-30T03:55:22.915936 | 2019-09-22T02:26:04 | 2019-09-22T02:26:04 | 210,071,567 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 630 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'WebAtivLPC.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise Imp... | [
"silviojrcarvalho@hotmail.com"
] | silviojrcarvalho@hotmail.com |
6fe4034060a6c7f766c9209cbf574bfaa93f0ddc | e321bf75e536df3565240e032caf812ed9467d59 | /main.py | 1d0f473df93d5d7e9069272555960e702901477b | [] | no_license | numaan0/Ping-pong-game-using-Kivy-python | 8e678c557679c4a72ee09c688e3bf0345fbe14f9 | 62479de34987a31526905e057c91c0b126772373 | refs/heads/master | 2023-03-20T18:25:50.277836 | 2021-03-07T08:24:39 | 2021-03-07T08:24:39 | 345,293,421 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,870 | py | from kivy.app import App
from kivy.uix.widget import Widget
from kivy.properties import NumericProperty,ReferenceListProperty,ObjectProperty
from kivy.vector import Vector
from kivy.clock import Clock
from random import randint
class PongPaddle(Widget):
score = NumericProperty(0)
def bounce_ball(self,ball):
... | [
"syed07nomi@gmail.com"
] | syed07nomi@gmail.com |
125dfc3862cdc8ffda88fc4ac3b297c82fab1791 | b2f887a5590eada2a3914af12673211278c2941d | /hw2/multiAgents.py | 3dc28a3dcb557237bde3307b87a1bd4ec2adf67a | [] | no_license | anurag6/CSE537 | 7c269d08ef109556a9b1a704d70f58cfab137c13 | 2a82e86965ce031749dd3ec414a24fe39c906b2e | refs/heads/master | 2021-07-08T17:30:09.418956 | 2017-10-04T04:50:08 | 2017-10-04T04:50:08 | 105,730,317 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,264 | py | # multiAgents.py
# --------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.e... | [
"anurag.porripireddi@stonybrook.edu"
] | anurag.porripireddi@stonybrook.edu |
bffc4998a73a001af96ff4d89986c7f07ba844b4 | 65f94b2fe3794b6fd682e52c7f4047a737cae6c7 | /env/bin/symilar | f88c0874a96d9c0b5e2366b5b1482cc352a5092d | [] | no_license | udoyen/vgg-project-challenge | 47e7e0c5352437f3df00aff9ac055dbadaadebb5 | 76a005edec6e77f9467b67bda20002c58abef7a9 | refs/heads/master | 2022-10-04T14:42:46.267458 | 2020-02-11T10:47:22 | 2020-02-11T10:47:22 | 238,899,753 | 0 | 1 | null | 2022-09-16T18:17:10 | 2020-02-07T10:45:53 | Python | UTF-8 | Python | false | false | 276 | #!/home/george/Documents/vgg-docs/vgg-project-challenge/env/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pylint import run_symilar
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(run_symilar())
| [
"datameshprojects@gmail.com"
] | datameshprojects@gmail.com | |
2d9f94c5939c209e95cd90f452b218045cd65527 | 373c43096384a2ea7f351fdedc64312660a1c344 | /src/cli.py | f3ccd5fb4c85d42a6d92d16f6863a85c68bacb64 | [
"MIT"
] | permissive | VanirLab/weever | 7ad69c76227ac0981b1dd0570e3dbae4dd67de21 | b602e90ddecb8e469a28e092da3ca7fec514e3dc | refs/heads/master | 2020-05-27T20:57:48.320430 | 2019-05-27T09:02:33 | 2019-05-27T09:02:33 | 188,788,722 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 49,577 | py | """
Implementation of weever's command line interface.
"""
import sys
import traceback
import argparse
import logging
import getpass
import typing as typ
from src.wrapper.bad_cluster import BadClusterWrapper
from src.wrapper.cluster_allocation import ClusterAllocation
from src.fat.fat_filesystem.fat_wrapper ... | [
"noreply@github.com"
] | noreply@github.com |
913b22b55b2b66dd81a565174d6e79ac4d9ded03 | 7398b8196c769af2bb84f0c1e3e079c7c9bf0c22 | /Measurement Converter.py | 4f4a50715d39e3462e94bb4454942a540ea80674 | [] | no_license | Inglaciela/PastaPython | e15576da7d1f9fe45e361b7c6ab054982801160a | cc31d9f20c128c2ac5361e30ec6eb64bbdfa02d5 | refs/heads/main | 2023-08-27T10:18:53.959821 | 2021-10-25T16:09:08 | 2021-10-25T16:09:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 558 | py | medida = float(input('Uma distancia em metros:'))
cm = medida * 100
mm = medida *1000
print('A medida de {} m corresponde a {} cm e {} mm'.format(medida, cm, mm))
#NA PRIMEIRA E SEGUNDA {} PODE SER COLOCADO :.0f PARA NUM FLOAT SEM CASAS DECIMAS
#PARA CALCULAR Quilómetro(km), Hectómetro(hm), Decametro(dam), Decím... | [
"noreply@github.com"
] | noreply@github.com |
a7e437ece982cc2ec71e49e9dc3b0d2230b15089 | 2d2aaf6b93bca99443463046c2f391588533bf7c | /lesson_8/instagram/settings.py | 903900de867961c74f12d01e24985226499ed577 | [] | no_license | chernova-ann/Data-collection-and-processing-methods | db86739c6876edcf2bb4c241444d9525bf72e395 | 238d4528f5ea108925a39f2d64a0a05e42f719aa | refs/heads/master | 2022-12-06T15:17:42.636713 | 2020-09-02T18:05:35 | 2020-09-02T18:05:35 | 282,038,579 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,219 | py | # Scrapy settings for instagram project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://docs.scrapy.org/en/latest/topics/settings.html
# https://docs.scrapy.org/en/latest/topics/downloader-middlewa... | [
"noreply@github.com"
] | noreply@github.com |
c4cbbf7636695a0ca4c879867e213c7d40e40e58 | a4f3eeecaac5d1cd43954997d1faffb98103aa89 | /topperProject/topperProject/topperApp/migrations/0003_addalbum_rating.py | 90d7f6be6972977b7a61d63568bab4a93d2bb9ce | [] | no_license | Ben-Stevenson/DjangoFullStack | f99874ba01e95feff0b235af7414beab77a1809d | 9b6425a38998c919d37087154fbb747aa6de08eb | refs/heads/master | 2022-11-27T20:44:20.626933 | 2020-08-05T14:54:45 | 2020-08-05T14:54:45 | 285,320,566 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 583 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-23 17:23
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('topperApp', '0002_addreview_rating'),
]
operations = ... | [
"bww.stevenson@btinternet.com"
] | bww.stevenson@btinternet.com |
dae9dc485e3fb180f377368fb642b0eeeb1004c6 | 1640189b5bf78114e2749a8ed1216e099bae9814 | /src/xmlsec/rsa_x509_pem/pyasn1/debug.py | 5aa42ced36ef65aadacddb629cebd74977b9d1a4 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | hfalcic/pyXMLSecurity | fb69cce12c1b417928d85b91a4c3dc87f46935ec | b29a68e6d21a0485b9190be45d532b9042fdc918 | refs/heads/master | 2020-04-03T13:19:13.016532 | 2014-07-08T17:57:55 | 2014-07-08T17:57:55 | 21,471,398 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,512 | py | import sys
from .compat.octets import octs2ints
from . import error
from . import __version__
flagNone = 0x0000
flagEncoder = 0x0001
flagDecoder = 0x0002
flagAll = 0xffff
flagMap = {
'encoder': flagEncoder,
'decoder': flagDecoder,
'all': flagAll
}
class Debug:
defaultPrinter = sys.stde... | [
"harvey.falcic@gmail.com"
] | harvey.falcic@gmail.com |
1bab025bfdd198402464361de2c9ab6092f42c10 | fb90c54f2b4f3d852a9380f23b837c9b79af9656 | /sort_calendar_mar_15.py | babce2930d0e4bdcc46ba57e3584e804347f1746 | [] | no_license | Daniel-Chin/airbnb | 0cd05209049e123dba763b32e7c55ae7688ccef7 | fddfd3861292fd6a191a76b969df533c67933119 | refs/heads/master | 2021-03-23T21:23:33.374301 | 2020-11-17T13:11:41 | 2020-11-17T13:11:41 | 247,485,164 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,349 | py | import csv
import datetime
def distribute():
with open('raw/calendar_mar_15.csv', 'r') as f:
now_id = None
outF = None
all_id = set()
try:
c = csv.reader(f)
head = next(c)
for line in c:
id = line[0]
if id != now_id:
if int(id) % 16 == 0: print(id)
... | [
"daniel_chin@yahoo.com"
] | daniel_chin@yahoo.com |
c9cbfca3f4c84cb5e219730e43194e7238cda653 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/358/usersdata/296/102792/submittedfiles/estatistica.py | 79ada402f0ec9ec03a71780b75717f4fa32662f5 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,036 | py | # -*- coding: utf-8 -*-
def media(lista):
soma = 0
for i in range(0,len(lista),1):
soma = soma + lista[i]
resultado = soma/len(lista)
return resultado
def media(lista):
media = sum(lista)/len(lista)
return media
def desvio_padrao(lista):
somatorio = 0
for i in range (0,len... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
1dd263aa244648cfd3f1c586ba8b042eae7e4f39 | cb1d888146c36d2be4517baf34ffaabe00082afa | /prog/__main__.py | fa47c9db6bcf5392c943e308a23795e4e62e16c3 | [] | no_license | Cheeel666/BMSTU_CP_CG | 37d555d654c8d77f1b863ad4a89856f85bab883d | 0cde22840233f67d34d4ef0681c28e8f38205c61 | refs/heads/master | 2023-04-30T03:55:28.331290 | 2021-05-21T21:45:12 | 2021-05-21T21:45:12 | 320,270,779 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,512 | py | from src.model import NLM
from tkinter import *
class Window:
def __init__(self):
self.window = Tk()
self.window.title("NLM")
self.window.geometry('500x280')
self.lbl = Label(self.window, text="Введите название изображения:")
self.lbl.grid(column=0, row=0)
self.entry... | [
"IChelyadinov"
] | IChelyadinov |
60f59e3d60f1e9f3547b430a782fc7a3067456ac | 582e74cace57aae609522f803776fc7c784fb203 | /Crypto/Decrypt.py | 6a202df9335c38485f11f4c4c46abe6819394c1c | [] | no_license | tirelesslearner-1901/MiniSpy | 5d8691e1e0e62e22ddfd34617b2f4372132c93da | b74e393d339c75e39de28f8e2a8deb28f31e9d95 | refs/heads/main | 2023-08-22T20:31:02.295392 | 2021-10-16T08:36:19 | 2021-10-16T08:36:19 | 417,756,656 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 515 | py | from cryptography.fernet import Fernet
key = " "
system_info_e = "e_system.txt"
clipboard_info_e = "e_clipboard.txt"
keys_info_e = "e_keys_log.txt"
encrypted_files = [system_info_e,clipboard_info_e,keys_info_e]
count = 0
for decryption in encrypted_files:
with open(encrypted_files[count], 'rb') ... | [
"noreply@github.com"
] | noreply@github.com |
19b0f1f8a7c09dc649e0cad037b8f1d8ebb8b242 | 81579ecd0678d652bbb57ff97529631fcfb74b12 | /corehq/motech/openmrs/tests/test_repeater_helpers.py | 83282f2a7427ec1fa865d3dd1356587c444939b9 | [
"BSD-3-Clause"
] | permissive | dungeonmaster51/commcare-hq | 64fece73671b03c1bca48cb9d1a58764d92796ea | 1c70ce416564efa496fb4ef6e9130c188aea0f40 | refs/heads/master | 2022-12-03T21:50:26.035495 | 2020-08-11T07:34:59 | 2020-08-11T07:34:59 | 279,546,551 | 1 | 0 | BSD-3-Clause | 2020-07-31T06:13:03 | 2020-07-14T09:51:32 | Python | UTF-8 | Python | false | false | 1,089 | py | from unittest import skip
from nose.tools import assert_regexp_matches
from corehq.motech.auth import BasicAuthManager
from corehq.motech.openmrs.repeater_helpers import generate_identifier
from corehq.motech.requests import Requests
DOMAIN = 'openmrs-test'
BASE_URL = 'https://demo.mybahmni.org/openmrs/'
USERNAME = ... | [
"nhooper@dimagi.com"
] | nhooper@dimagi.com |
d157dc7adafb7e4b11b40e1cb6df040e6aa52c00 | b06f4dc6b1703f7e05026f2f3ff87ab776105b18 | /google/cloud/logging_v2/services/logging_service_v2/transports/grpc_asyncio.py | 1f33ad78a14fb422539ecb389430bec68882bee1 | [
"Apache-2.0"
] | permissive | anilit99/python-logging | 040eeb4eed7abe92757b285a1047db09242e89c9 | 9307ad72cb5a6d524ed79613a05858dbf88cc156 | refs/heads/master | 2023-06-01T04:49:38.975408 | 2021-06-17T10:52:15 | 2021-06-17T10:52:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,347 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"noreply@github.com"
] | noreply@github.com |
585eae1b49fd2617ff07cd0c7343294fbf78333c | 96d9dc3f29661b1fbc732d6ae054eccb97e18843 | /ifind | a9971082afeb319cde78a1f9150a150dc3cc049c | [
"CC-BY-4.0",
"CC-BY-3.0"
] | permissive | mtxstarship/mattutils | 5ccd990fdb6252a9f318c6773f058a4dc763633b | 703df7a464e047399b3915b77241b73148502a1b | refs/heads/master | 2020-07-04T10:55:38.157363 | 2016-11-16T06:45:37 | 2016-11-16T06:45:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,937 | #!/usr/bin/env python3
'''
An ncurses wrapper around `find`.
'''
import curses, grp, os, pwd, random, shutil, stat, subprocess, sys, tempfile, time
EDITOR = os.environ.get('EDITOR', 'vim')
PDF_VIEWER = 'evince'
VIEWER = os.environ.get('VIEWER', 'view')
MPLAYABLE = ['.mp3', '.ogg', '.ogv', '.mp4', '.avi', '.flv', '.f... | [
"matthew.fernandez@gmail.com"
] | matthew.fernandez@gmail.com | |
080a6e7e8f5e0c897c92846f23df703ff1cf81f0 | a8750439f200e4efc11715df797489f30e9828c6 | /LeetCodeContests/87/845_longest_mountain.py | 141d5018c884992b88f6afeddcd2fd5ae122f0db | [] | no_license | rajlath/rkl_codes | f657174305dc85c3fa07a6fff1c7c31cfe6e2f89 | d4bcee3df2f501349feed7a26ef9828573aff873 | refs/heads/master | 2023-02-21T10:16:35.800612 | 2021-01-27T11:43:34 | 2021-01-27T11:43:34 | 110,989,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,187 | py | '''
Let's call any (contiguous) subarray B (of A) a mountain if the following properties hold:
B.length >= 3
There exists some 0 < i < B.length - 1 such that B[0] < B[1] < ... B[i-1] < B[i] > B[i+1] > ... > B[B.length - 1]
(Note that B could be any subarray of A, including the entire array A.)
Given an array A of int... | [
"raj.lath@gmail.com"
] | raj.lath@gmail.com |
2821a21f0162a4a77a2f98f168a897b8996859f9 | c75a22d65a2cc8afe905ef73ae9d5db7556ac2d6 | /python/Binary Tree/bst_recursion.py | 4a5f1db2e3ec076322b9a25f28e07ff267e431da | [
"MIT"
] | permissive | SoumyaMalgonde/AlgoBook | 2956885fe69451a61f03c8efc1607d6d88926ac9 | b21386e54a49d03c74f27eee9818b6d2a715371d | refs/heads/master | 2023-01-05T01:14:39.054932 | 2020-10-29T09:45:43 | 2020-10-29T09:45:43 | 308,100,608 | 3 | 0 | MIT | 2020-10-28T18:18:06 | 2020-10-28T18:02:55 | Jupyter Notebook | UTF-8 | Python | false | false | 2,248 | py | class Node:
def __init__(self,key):
self.left = None
self.right = None
self.value = key
def insert(root,key):
if root is None:
return Node(key)
else:
if root.value == key:
print("Value already exists")
return root
eli... | [
"pranavkarnani@icloud.com"
] | pranavkarnani@icloud.com |
56f61545798151002ae6430bfffe35590ecc58ae | 72c411cb982de8289f50b3794968c33373e776c5 | /requirements/area.py | f3c9a887aabc6dd64d864f58f8dcb48740b12020 | [] | no_license | xDrone-DSL/flask-backend | 3592b93d873732180fac7a7887b4593f7bdb072f | 3f3a7bbf1f035beab76d2cfe603d9ee63c4705de | refs/heads/master | 2022-08-26T03:10:25.143696 | 2021-04-02T02:53:16 | 2021-04-02T02:53:16 | 217,087,101 | 1 | 1 | null | 2022-08-06T05:36:44 | 2019-10-23T15:09:09 | Python | UTF-8 | Python | false | false | 530 | py |
class Area:
def __init__(self, z):
self.x_low = min(z["x_low"], z["x_high"])
self.x_high = max(z["x_low"], z["x_high"])
self.y_low = min(z["y_low"], z["y_high"])
self.y_high = max(z["y_low"], z["y_high"])
self.z_low = min(z["z_low"], z["z_high"])
self.z_high = max... | [
"mb4617@ic.ac.uk"
] | mb4617@ic.ac.uk |
883164030eb6e0bc556907b8b9b6df0a83a0820a | f67473326cda6fb53dfdf4a3bef851d395413a81 | /build/lib/keras_rcnn/datasets/__init__.py | dce2be54a159b5b284e7c9611f0f5dffb41a10dd | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | jeffreysijuntan/MaskRCNN | e846f5b2ded8c8f389c9fc9dfa27052e3f98b948 | a552e5958413f59d5c67bd7822a70b426c00b4a7 | refs/heads/master | 2020-03-06T20:59:04.326051 | 2018-03-28T18:42:37 | 2018-03-28T18:42:37 | 127,067,330 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,472 | py | # -*- coding: utf-8 -*-
import json
import os.path
import keras.utils.data_utils
def load_data(name):
origin = "http://storage.googleapis.com/tsjbucket/{}.tar.gz".format(name)
pathname = keras.utils.data_utils.get_file(
fname=name,
origin=origin,
untar=True
)
training_image... | [
"sijuntan@yeah.net"
] | sijuntan@yeah.net |
426d140370b3d594e0a398fb1603285aa7ead675 | 0c212aa63d07e84fbad849d15f2ee6a72aea82d2 | /11-格式化文件储存/p03.py | 39a910a3f2badbfbeb222fdbbe1cf96c8e57ffde | [] | no_license | flyingtothe/Python | e55b54e1b646d391550c8ced12ee92055c902c63 | 064964cb30308a38eefa5dc3059c065fcb89dd9f | refs/heads/master | 2021-08-06T19:44:42.137076 | 2018-12-03T12:15:15 | 2018-12-03T12:15:15 | 145,518,863 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 495 | py | import xml.etree.ElementTree as et
tree = et.parse(r'to_edit.xml')
root = tree.getroot()
for e in root.iter('Name'):
print(e.text)
for stu in root.iter('Student'):
name = stu.find('Name')
if name != None:
name.set( 'test', name.text * 2)
stu = root.find('Student')
#生成一个新的 元素
e = et.Element(... | [
"heidemeirenai@163.com"
] | heidemeirenai@163.com |
9cab9dc37c46f3af6d44d688dd5c03fcf4425162 | 10c459a49cbc8ee2dc3bc2a8353c48b5a96f0c1d | /AI/nai_bayes.py | 131804de264e30fc0df16076a4ac00543533cbaf | [] | no_license | alinzel/Demo | 1a5d0e4596ab4c91d7b580da694b852495c4ddcc | cc22bbcdbd77190014e9c26e963abd7a9f4f0829 | refs/heads/master | 2020-03-10T22:26:30.247695 | 2018-04-15T15:37:28 | 2018-04-15T15:37:28 | 129,619,168 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,994 | py | import numpy as np
from sklearn.naive_bayes import MultinomialNB, BernoulliNB
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import GridSearchCV
from sklearn import metrics
from time import time
from pprint import pprint
import ma... | [
"944951481@qq.com"
] | 944951481@qq.com |
7782ae2cf530c772011e7e4dd7449946e8542ad0 | 959c5b935f4a039878a995ffa102b860ab0867fa | /hello/migrations/0001_initial.py | a9ab96cc6a3a3072da562e8286306f664344c8a5 | [] | no_license | hari2014/test | b92d2eee83b1aed9ffa91e2edb5c4651a712b407 | f4fb1109ac0665652a499292fb4cadaaa2191e3e | refs/heads/master | 2021-01-22T12:35:31.339143 | 2017-09-04T16:40:30 | 2017-09-04T16:40:30 | 102,350,278 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,204 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-09-04 09:48
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='detail... | [
"noreply@github.com"
] | noreply@github.com |
8df2f07e84e4f4a4d53706f3fb37fdbd8c2be89b | 237ac9cdbb5edcf84abc736efd5833bc077961b6 | /bin/chardetect | b507bdb15b6d0f28815df91c67f821949496f79e | [
"MIT"
] | permissive | leonbroadbent/vmware-ansible | 3a8427ca4dc84231619dee21270d21c7b287a1a1 | 8253dfcbe3bb44ed859b9084006c8d81e143ba12 | refs/heads/main | 2022-12-30T09:29:40.038125 | 2020-10-07T00:54:35 | 2020-10-07T00:54:35 | 301,825,278 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 261 | #!/home/leon/Documents/Projects/vmware-ansible/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from chardet.cli.chardetect import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"leon@leonbroadbent.com"
] | leon@leonbroadbent.com | |
06f235fd1143199f8fbe874e8717f8ab7ab6aadd | 9b524391b71abf948471d2c982fadcefc6f09c66 | /day04.py | c1483ed086e687e992a55bea27d0cf691be6e67b | [] | no_license | chena/aoc-2018 | a4d30cc3116e0e1e9f6fa54971c95c018a05f3ac | 2300ac22a30b5c9b1d03dd479b14d77206b2186c | refs/heads/master | 2020-04-09T05:16:32.015415 | 2019-02-23T02:22:24 | 2019-02-23T02:22:24 | 160,057,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,770 | py | from util import get_input
from collections import defaultdict
import datetime
import re
def process():
logs = []
guard_hrs = {}
# sort the logs
for log in get_input('day04.txt'):
timestamp = datetime.datetime.strptime(log[1:17], '%Y-%m-%d %H:%M')
content = 'sleep'
pattern = re.compile('Guard #(.+) begins'... | [
"alice@perka.com"
] | alice@perka.com |
7d084be3b90386de03a9247bbd700b449d4d3c35 | 1609e3853dd35a3bd7269ac909c487354dbd3307 | /kpsinvo/core_app/migrations/0001_initial.py | ded6f2331b2e608d204058594ae6f461d47f26d8 | [] | no_license | Hyrla/KPSInvo | 33a477ee34df04ab6382b8a7790ae4aa95f87e10 | 674d90456ea52ce65245db3279d0888e7f970242 | refs/heads/master | 2023-01-02T06:47:08.048760 | 2020-10-15T14:35:47 | 2020-10-15T14:35:47 | 304,132,977 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 686 | py | # Generated by Django 3.1.2 on 2020-10-14 20:02
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Thing',
fields=[
('id', models.AutoField(au... | [
"fournier@et.esiea.fr"
] | fournier@et.esiea.fr |
16b25ff5a3aed45017c060619a98e4dfce6a60d6 | cbda89443b351bb2047180dad4e300c13dc3df7f | /Crystals/Morpurgo_sp_outer/Jobs/Pc/Pc_neut_neut_inner1_outer4/Pc_neut_neut_inner1_outer4.py | 416385fcff412563b8446a40888f5125d9823323 | [] | no_license | sheridanfew/pythonpolarisation | 080f52979f98d26360a46412a10c8e3f51ee4549 | 178e2684e9a239a8e60af5f7b1eb414ac5f31e92 | refs/heads/master | 2021-07-10T01:07:40.978790 | 2021-03-11T16:56:37 | 2021-03-11T16:56:37 | 96,101,351 | 0 | 0 | null | 2017-07-03T13:37:06 | 2017-07-03T10:54:52 | null | UTF-8 | Python | false | false | 5,279 | py | import sys
sys.path.append('../../../../../')
from BasicElements import *
from BasicElements.Register import GetRegister
from BasicElements.MoleculeFactory import ReadMoleculeType
from BasicElements.MoleculeFactory import GetMolecule
from BasicElements.Crystal import *
from Polarizability.GetDipoles import get_dipoles,... | [
"sheridan.few@gmail.com"
] | sheridan.few@gmail.com |
3b6132e8675885d7b3c34747abc099bd39c9fcd5 | 59b7d65c84575aa6dd3e4831a9a3923a456b1be3 | /query.py | 09c22e65dfef71c3b90646aba398175bab6f9a1e | [] | no_license | leehelenah/Analyze-H1B-PW-data | 84095b7809a8ed851aede5f1e1662d93b8f1b73a | 75f71c7e57b7834fef0e0f5c20975d40f3ee394a | refs/heads/main | 2023-08-31T11:05:49.149378 | 2021-09-26T02:53:07 | 2021-09-26T02:53:07 | 405,804,569 | 0 | 0 | null | 2021-09-25T05:37:07 | 2021-09-13T02:12:32 | Jupyter Notebook | UTF-8 | Python | false | false | 561 | py | LCA = """
SELECT *,
CASE WHEN WAGE_UNIT_OF_PAY='Year' THEN WAGE_RATE_OF_PAY_FROM ELSE WAGE_RATE_OF_PAY_FROM*50000 END AS ANNUAL_INCOME,
'{file_source}' AS FILE_SOURCE,
UPPER(WORKSITE_COUNTY) AS WORKSITE_COUNTY_UPPER
FROM {view}
WHERE CASE_STATUS='Certified'
AND FULL_TIME_POSITION='Y'
AND WAGE_UNIT_OF_PAY in... | [
"noreply@github.com"
] | noreply@github.com |
681440009127bf5750638d9a87a4155477b2fda3 | 43b34ed0be64771f236c086f716bc6a92ae3db32 | /kt_ph_n.py | 8073dcefb011746731594e8d83f99505915ad414 | [] | no_license | elonca/LWB-benchmark-generator | ad5b6dc5e591941184056476db3ad13f01900879 | 7a7f28800f7574c98a3883f6edccad727dd509bc | refs/heads/main | 2023-07-28T01:42:22.532324 | 2021-09-16T07:22:56 | 2021-09-16T07:22:56 | 407,061,367 | 0 | 0 | null | 2021-09-16T07:12:38 | 2021-09-16T07:12:37 | null | UTF-8 | Python | false | false | 135 | py | from k_ph_n import *
def kt_ph_n(n):
return str(kt_ph_n_f(n))[1:-1]
def kt_ph_n_f(n):
return left(n) |IMPLIES| Dia(right(n))
| [
"u6427001@anu.edu.au"
] | u6427001@anu.edu.au |
0daa3d13c4d74a0a76bdd1193d5124f2a006877e | ccda463cf6eb0ef6690f811e3c54c439d462019e | /Exercise 1_7_rps.py | 75bd8fd9459f355771463912ee3d4a92ac8f291a | [] | no_license | ViralGor/Assignment-1 | bae6e9fca993990a3afc50a294f55170a976e445 | 81d8184d962165398225d98f091adbfa1550a943 | refs/heads/master | 2021-08-26T08:12:20.412634 | 2017-11-22T11:37:03 | 2017-11-22T11:37:03 | 111,676,864 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 740 | py | player1 = input("Enter player1?: ")
player2 = input("Enter player2?: ")
if(player1=='rock' and player2=='scissors'):
print("Player1 won")
elif(player1=='rock' and player2=='paper'):
print("Player2 won")
elif(player1=='rock' and player2=='rock'):
print("Tie")
elif(player1=='paper' and player2=='rock'):
... | [
"33891077+ViralGor@users.noreply.github.com"
] | 33891077+ViralGor@users.noreply.github.com |
498bf8c8f040a41ab9c636bdd1e38a5376c813cc | fec70eda5a0833887632dbf5a2408b2cb67a98a3 | /condicionales/main.py | 84e565a71213a2238a2360fd0f264bf3d1a1b761 | [] | no_license | jmav94/topicos-con-python-2021 | d07dedd76a8375b94b7e03fe7a8dd4698b0feae4 | 72797f8d59101f7f45b7ca668ba733e898bf75ad | refs/heads/master | 2023-05-23T23:17:16.427899 | 2021-06-14T05:10:27 | 2021-06-14T05:10:27 | 342,257,794 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,458 | py | """
IF
SI se cumple esta condicion:
Ejecutar estas instrucciones
SI NO:
Se ejecutan estas otras instrucciones
if condicion:
instrucciones
else:
otras instrucciones
# Operadores de comparacion
== igual
!= diferente
< menor que
> mayor que
<= menor o igual que
>= mayor o igual que
# Operadores Logicos
and Y
o... | [
"juan.ahumada94@gmail.com"
] | juan.ahumada94@gmail.com |
d13041f7c47daa9b42d651b0e7c12a895ce9ff78 | 41ecc22fe68d9849f956c282b03f9203c4c2dbe3 | /main/admin.py | 313fc75f2b07be72f8f4e2d55effb16426f71861 | [] | no_license | awmleer/one-word-one-story | 21e7dd5601b7457ffeb0fca528e2eb0017f7a3e2 | 28715f5e97da8772b5bc03e27613b67f67420543 | refs/heads/master | 2021-06-01T19:15:59.217416 | 2016-08-22T02:09:03 | 2016-08-22T02:09:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Person)
admin.site.register(Story)
admin.site.register(Word)
| [
"haoguangbo@yeah.net"
] | haoguangbo@yeah.net |
54255480175da94416aaacaf9d2c55cbf4dbef26 | 2d68548aeb61dc2c66b4b600580db4e496202c4a | /manage.py | 75ad49068f8a0d236bdf195daf97e02166ad5548 | [] | no_license | liuyi0906/netshop | 1bd0b1985ebe4b91271b70a51801bb70d80f4fdc | 4a93f03b2c20a9e7cb312facd3fca498683cbeb1 | refs/heads/master | 2021-05-15T02:23:05.573881 | 2020-03-26T13:17:04 | 2020-03-26T13:17:04 | 250,262,996 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 539 | py | #!/usr/bin/env python
import os
import sys
if __name__ == '__main__':
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'netshop.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are ... | [
"1776756669@qq.com"
] | 1776756669@qq.com |
a861c16f64b145bf95867c56ed01252b9a341a5e | 0e412122a9967f6788b94f7ef6965eff7578a080 | /Part 2/Py script vol/v1.0.2/__init__.py | 0901d3795f7199c008053ea8383189f23fc7cc9e | [] | no_license | ibrahimkhalilmasud/-intrusion-detection-system-host-base-with-Python-port-and-SSH-server-scanner | be7ccdb956c2fdc832fdfba2a3f91427789e6974 | 1b0939f12e8cb89aab9011b6bd77e64a6b4bce53 | refs/heads/master | 2022-06-01T04:11:47.068095 | 2020-05-04T06:44:44 | 2020-05-04T06:44:44 | 250,737,122 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py | #__all__ = ["port", "Port2", "ssh_scanner_1"] | [
"36391855+ibrahimkhalilmasud@users.noreply.github.com"
] | 36391855+ibrahimkhalilmasud@users.noreply.github.com |
368c766224aa60b38f1fa2f175c3c59d12a092d9 | 16c8357d2df4c9fb02440db93881fa2c6f52d03b | /vst/urls.py | f6631b7cd7b3e04caa96bce7bf8076945b551303 | [] | no_license | nikhilmuz/Bioinfo_molecule_sorting | 09d458d2f21cc3145a5b316fbfc4cb68122ea216 | ca17ef5699745d1d2ab6348bccd5441392581373 | refs/heads/master | 2020-03-21T14:20:55.211606 | 2019-01-27T17:14:14 | 2019-01-27T17:14:14 | 135,333,150 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 773 | py | """vst URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based ... | [
"nikhil.nikhil.muz@gmail.com"
] | nikhil.nikhil.muz@gmail.com |
b15ef0ce97a9d687f88f8fcbea3e7e4fa94065ff | db79787a8726e136e48b25133fbe6724d25ec5f2 | /src/uikefutestcase/kefu_testcase02_myuserfeedback_alllist_noback.py | ed16c701208661bbe7f10597431d0d76fb24c159 | [] | no_license | cash2one/edaixi_python_selenium | a1d51ada40788c550f3014bf62a44360781b27b9 | ae63b323a46032dc3116c4515ee375ace67dddda | refs/heads/master | 2020-05-22T16:55:53.137551 | 2016-11-26T15:31:52 | 2016-11-26T15:31:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,355 | py | # -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import NoAlertPresentException... | [
"ibmcuijun2015@126.com"
] | ibmcuijun2015@126.com |
c3b04dfc938039b9540e226bcf5b58bc739dc96d | 42803b9b279991cdfe8978ecc9a01918e8ab174c | /examples/courier_example.py | c852e2fed233d70ff129aa10c2e28e453216c87b | [
"MIT"
] | permissive | AfterShip/aftership-sdk-python | 0732159d0128dc0d7202343dba17cd7c4f3f5de7 | 32299e673cc859d1c7571240edd97aba98470418 | refs/heads/master | 2022-11-21T10:39:01.578286 | 2022-07-27T09:20:52 | 2022-07-27T09:20:52 | 20,640,069 | 43 | 20 | MIT | 2022-11-10T06:44:16 | 2014-06-09T08:50:12 | Python | UTF-8 | Python | false | false | 536 | py | import aftership
aftership.api_key = 'PUT_YOUR_AFTERSHIP_KEY_HERE'
def get_enabled_courier_names():
result = aftership.courier.list_couriers()
courier_list = [courier['name'] for courier in result['couriers']]
return courier_list
def get_supported_courier_names():
result = aftership.courier.list_al... | [
"alvie.zhang@gmail.com"
] | alvie.zhang@gmail.com |
2a62d0ce7d1490a12fab7d9049349edd7a6f7f38 | d515e4ee65e064b8bfc8895d9b55fd7a23572649 | /plugins/operators/dataflow_xcom_operator.py | aa9de87209b3ad0985391ba093f2d33481653527 | [
"Apache-2.0"
] | permissive | HocLengChung/docker-airflow | a8c995534c3102559d41e76d04245471900b2757 | b4b6f7e13d031fd40843884b27ae9e3f9a998afc | refs/heads/master | 2020-07-19T06:28:06.662885 | 2019-09-05T19:20:22 | 2019-09-05T19:20:22 | 206,391,809 | 0 | 0 | Apache-2.0 | 2019-09-04T18:58:11 | 2019-09-04T18:58:10 | null | UTF-8 | Python | false | false | 10,591 | 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
#... | [
"hoc.leng.chung@devoteam.com"
] | hoc.leng.chung@devoteam.com |
5fbfc72f14ae2926b33488a6f8779cdf247fa0b7 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_397/ch12_2020_03_04_11_23_47_173814.py | 6f4b82bd91b75fe7a2fadd6fbd05585a048320bf | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 61 | py | def resolve_equacao_1o_grau (a, b):
X=(0-b)/a
return X | [
"you@example.com"
] | you@example.com |
f6399a661fc91b6428b91b95ac912b34f0274bb8 | 6ad7f2266ce14e9556a98ae8a919c268d5ec2f01 | /model_measuring/kamal/core/callbacks/logging.py | 79c6119daaf1643b251c96f61f14d0cfac23e9e9 | [
"Apache-2.0"
] | permissive | Gouzhong1223/Dubhe | 3fc3fbb259e71013c2ddc12c27dbd39b98e56534 | 8959a51704410dc38b595a0926646b9928451c9a | refs/heads/master | 2022-07-26T23:24:54.295338 | 2021-12-27T05:58:18 | 2021-12-27T05:58:18 | 442,334,231 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,167 | py | """
Copyright 2020 Tianshu AI Platform. 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 applicable law ... | [
"tianshu@zhejianglab.com"
] | tianshu@zhejianglab.com |
60ac420c2fdafe2fef8b1cbd79cbee62bb4ae15b | bb05406a5abd415807d9f1a9fc8d47502657c7a8 | /Test3(square tracking face and eyes)/final.py | f3b0d0e844697b6d295e9bcea748ebb68d989e77 | [
"Apache-2.0"
] | permissive | spell1612/Face-Overlay-AR | fce26a9677f9f965af30e6807f5037bf4af018b1 | 7350d13999c2647412b34637a70c817cf5940350 | refs/heads/master | 2021-04-15T14:01:21.444735 | 2021-03-19T18:36:28 | 2021-03-19T18:36:28 | 126,498,107 | 6 | 3 | null | 2020-09-08T08:27:09 | 2018-03-23T14:40:59 | Python | UTF-8 | Python | false | false | 986 | py | import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
count=1
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detect... | [
"spell1612@gmail.com"
] | spell1612@gmail.com |
c0d4a1418c35fa87353788017933553e0217d445 | 0a1a0b8034d3f6cfc39dd756f0bdb1981ef0a990 | /main.py | 8edc314eef8c22d308a7d004e1b9b5d0d9f900a1 | [] | no_license | dirac292/Password_Manager | e4638c4b902aaa7fb103c32a85812a0ccc9bd017 | 49e11121dab1d8f50e8283dc553e2f3c82bb9de7 | refs/heads/main | 2023-06-26T15:20:13.937690 | 2021-07-20T11:41:38 | 2021-07-20T11:41:38 | 368,448,145 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,689 | py | import json
import re
import base64
import random
import os
from cryptography.fernet import Fernet
from tkinter import *
from tkinter import messagebox
from tkinter import simpledialog
from tkinter import ttk
from ttkthemes import ThemedTk
import pyperclip
from cryptography.hazmat.backends import default_backend
from c... | [
"noreply@github.com"
] | noreply@github.com |
d93a39b389a01a60c09bd2155e8c4f7003ac6379 | 67c849d4de48ed2ced0de758d2f19fb1b86663f9 | /ledcontroller.py | cd3222b566e8d10777b199e68dc864b9a9fe0b42 | [] | no_license | s-dasa/led-proj | 66fdb84e45f8bb1fea3bc767a35d3ef2e43fda1a | 465a547a4c167ee1f4c515931b1a4666c812f0d5 | refs/heads/master | 2020-06-12T14:39:05.404403 | 2019-07-04T20:01:44 | 2019-07-04T20:01:44 | 194,332,664 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,855 | py | from gpiozero import *
import RPi.GPIO as GPIO
from time import sleep
from led_database import *
#from tester import *
class controller():
def __init__(self):
self.led_obj = led_class()
#self.my_tester = testing()
self.color = ""
self.times = 0
self.rate = 1
self.led_... | [
"noreply@github.com"
] | noreply@github.com |
2eefca90d0978c3e073c76b1c622a1f5013e263f | e4f42366983ee0e08e22dfd305f1b161ca1173c4 | /DesignPattern/proxy.py | cd0e860db878b04004fe232f37141dc402220f6e | [] | no_license | GhostZCH/python-examples | c949aba3d07993164474d21ebec902be6ad9a99a | 383384c2769ccd1bf470c62c790236331d2dae37 | refs/heads/master | 2021-10-01T14:19:26.388354 | 2018-11-27T00:01:37 | 2018-11-27T00:01:37 | 40,755,376 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 590 | py | class FactorialProxy:
def __init__(self, n):
self.n = n
def factorial(self):
'real computing'
result = 1
for i in range(self.n):
result *= i + 1
return result
if __name__ == '__main__':
item_list = ['100! = ', FactorialProxy(100),';' , '200! ... | [
"noreply@github.com"
] | noreply@github.com |
eff8eacaddbcb5f0b247e7725566f85fd0320b10 | 4f7bb02e4fcba432f673615886e80dafdabb6942 | /munges/creature_heatmap2_standard.py | 6e84607bfd3ea2cdc70ed68b3da62354d0e42bf7 | [] | no_license | robbintt/mtg-data-processing | ec0e31676d7785b51e5ce4bc1e697fd9cceec1ed | c2d386d0709e199bd43b9b255507ffea5b62d9e4 | refs/heads/master | 2016-09-10T17:16:29.582837 | 2015-07-20T06:44:10 | 2015-07-20T06:44:10 | 34,285,811 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,474 | py | """
Gather all the ability text for a provided sqlite db and generate a
word frequency dict for it.
"""
import sqlite3
import re
import utils.wordfreq
import copy
# This uses a symlink, may break in non posix.
# use os.path.join here if you wish.
sample_db = "../db/standard.sqlite"
def clean_text(dirtytext):
""" ... | [
"robbintt@gmail.com"
] | robbintt@gmail.com |
fb50b6df0ff5b04d2d8eec90f3141572a7c00c53 | 822772bb8718e315658e6f9a6b3628d839f852a3 | /venv/bin/pyi-makespec | 40dfbe18d0f42732935edf35d2503912a75060e0 | [] | no_license | tuhindewan/EDiaries | dff23ce72081fcfafc0b076cf733ba5e9427d319 | 2753be83c30379e1abd21e631a4ad1297a060681 | refs/heads/master | 2022-11-23T14:23:14.381225 | 2020-07-30T06:55:35 | 2020-07-30T06:55:35 | 277,780,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 419 | #!/home/tuhin/EDiaries/venv/bin/python3
# EASY-INSTALL-ENTRY-SCRIPT: 'PyInstaller==3.6','console_scripts','pyi-makespec'
__requires__ = 'PyInstaller==3.6'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
... | [
"tuhinsshadow@gmail.com"
] | tuhinsshadow@gmail.com | |
c483568c2315f978744b6101a583b3a86f7d31ca | 8e6e3f7fc065548cb25825632c49d83964bf9f30 | /Network/TelnetApplication.py | 49defd5da817e2f396c626560ae3413f2b1f7161 | [] | no_license | raviwithu/Scripts | 1d13c9f368ed9ab966fda434d022acd9f71d3f1d | cba34cdceee121ce696bc1b30faf19a1fc126eda | refs/heads/master | 2021-01-22T02:13:18.252626 | 2018-05-03T01:53:16 | 2018-05-03T01:53:16 | 92,339,767 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 831 | py |
def open_telnet_conn(ip):
try:
connection = telnetlib.Telnet(ip, 23, 5)
output = connection.read_until("name:", READ_TIMEOUT)
connection.write(username + "\n")
output = connection.read_until("word:", READ_TIMEOUT)
connection.write(password + "\n")
time.sleep(1)
... | [
"miravishankar@yahoo.co.in"
] | miravishankar@yahoo.co.in |
ac7e69a00d6ae49d7a169955c6ba1228e4f0a064 | 85466f270dd3ebef93a80db7b6fe5227dd504c81 | /lstm/nn-trajectory-prediction/train.py | af7824ca9f42e5a2631f4c680319950058e3e0f0 | [] | no_license | vineetsk1/cs231a-project | e5bc20e713a58bbc42677bd2d1c6487ef06a60f1 | f6adc7733144502fa891cabf21392a51534de306 | refs/heads/master | 2021-03-24T12:31:24.626838 | 2018-03-22T22:08:23 | 2018-03-22T22:08:23 | 122,318,431 | 10 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,200 | py | #training script for neural nets
import numpy as np
from pooling_gru import PoolingGRU
from baseline.naive_gru import NaiveGRU
from utils import *
import pdb
import argparse
import math
_id = 0
_position = 1
_class = 2
#hyperparameters
__INPUT_DIM = 2
__OUTPUT_DIM = 2
__HIDDEN_DIM = 128
__NUM_EPOCHS = 2 # 100
__LEARN... | [
"vineetsk1@gmail.com"
] | vineetsk1@gmail.com |
f040059ed129aa620990f466c803b2a2a026b103 | 00a3f91db1e0bd349a0a120d8980429363446d67 | /api/migrations/0004_merge_20180805_1637.py | a0c874598dea406d580c4e4f2a4cf32728b0e65b | [] | no_license | junkluis/cenecu_web | 59130894d0584479b352fcd7a119aa2c6185a5e5 | 078b59308a93e40514b63c130c4506f98f929be4 | refs/heads/master | 2020-03-25T09:08:02.327198 | 2018-08-05T21:42:21 | 2018-08-05T21:42:21 | 143,649,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 330 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-08-05 21:37
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20180730_0141'),
('api', '0003_auto_20180729_2237'),
]
operations ... | [
"lufezuro@gmail.com"
] | lufezuro@gmail.com |
a8744d0bca6c674118b972ff9c176d33cf41a3a3 | 4207ab9e68a139a0dd9cc2c8ed2c6166946d4e54 | /Py/cutsTest.py | ffac1bc92e75a920bb020947ab3117e1697b715e | [] | no_license | ThenukaDK/Windguard | da869038785e0504176118b6b3208f484c4b389a | 4c600f7769b85767524cd7b7369317702894d61f | refs/heads/master | 2021-06-06T22:18:56.162397 | 2016-08-25T16:08:47 | 2016-08-25T16:08:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 675 | py | import os
import cv2
import numpy as np
cut_count = 0
i = 0
cut_cascade = cv2.CascadeClassifier("stage11.xml")
for filename in os.listdir("../img/imagemap"):
if filename.endswith("jpg"):
img = cv2.imread("../img/imagemap/"+filename)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cuts... | [
"thenukaa@gmail.com"
] | thenukaa@gmail.com |
125f3eca8985b6337481c57ecb01d50d4d12cd2f | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_25145.py | cc20ebccbcceb580e0202cead14e2afc85781e87 | [] | no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 59 | py | # How to find / import the win32security in python?
import
| [
"ubuntu@ip-172-31-7-228.us-west-2.compute.internal"
] | ubuntu@ip-172-31-7-228.us-west-2.compute.internal |
6d3560c2179b9703d5955c377a9989b5a7a236c0 | 34d88082307281333ef4aeeec012a3ff5f8ec06e | /w3resource/basic/Q098.py | c3ed4f05918371d4d44df3cbbb34edc91b0fb439 | [] | no_license | JKChang2015/Python | a6f8b56fa3f9943682470ae57e5ad3266feb47a7 | adf3173263418aee5d32f96b9ea3bf416c43cc7b | refs/heads/master | 2022-12-12T12:24:48.682712 | 2021-07-30T22:27:41 | 2021-07-30T22:27:41 | 80,747,432 | 1 | 8 | null | 2022-12-08T04:32:06 | 2017-02-02T17:05:19 | HTML | UTF-8 | Python | false | false | 148 | py | # -*- coding: UTF-8 -*-
# Q098
# Created by JKChang
# Wed, 31/05/2017, 15:34
# Tag:
# Description: Write a Python program to get the system time.
| [
"jkchang2015@gmail.com"
] | jkchang2015@gmail.com |
894482ee3334014d91285e7f29af8f4772c1e0bf | dd80a584130ef1a0333429ba76c1cee0eb40df73 | /external/chromium_org/tools/cr/main.py | dced8cd4069ceea9d47ee5b9b17ca6fc164b8c81 | [
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference",
"GPL-2.0-only",
"Apache-2.0",
"LicenseRef-scancode-unknown"
] | permissive | karunmatharu/Android-4.4-Pay-by-Data | 466f4e169ede13c5835424c78e8c30ce58f885c1 | fcb778e92d4aad525ef7a995660580f948d40bc9 | refs/heads/master | 2021-03-24T13:33:01.721868 | 2017-02-18T17:48:49 | 2017-02-18T17:48:49 | 81,847,777 | 0 | 2 | MIT | 2020-03-09T00:02:12 | 2017-02-13T16:47:00 | null | UTF-8 | Python | false | false | 3,092 | py | # Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Chromium cr tool main module.
Holds the main function and all it's support code.
"""
import os
import sys
import cr
import cr.auto.user
import cr.autoco... | [
"karun.matharu@gmail.com"
] | karun.matharu@gmail.com |
d79019f5641bb3c85f070279e42ae59776f382d0 | 350a592c614f533833e8a0ac9afa37cef6d4d03d | /python2/exercise6/ex6.py | cb4c09c56cdcbd009ad545388bfde21f76d2e542 | [] | no_license | jcclarke/learnpythonthehardwayJC | 7a53f15c9e1cda2f56ce064b6cc08cdc32278746 | 88d2a10d4c04468ae31e29e82f78454b52e5743e | refs/heads/master | 2023-01-19T01:52:01.067881 | 2020-11-28T06:28:19 | 2020-11-28T06:28:19 | 258,010,674 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 436 | py | #!/usr/bin/env python2
x = "There are %d types of people." % 10
binary = "binary"
do_not = "don't"
y = "Those who know %s and those who %s." % (binary, do_not)
print x
print y
print "I said: %r" % x
print "I also said: '%s'" % y
hilarious = False
joke_evaluation = "Isn't that joke so funny?! %r."
print ... | [
"jeanclaudelclarke@gmail.com"
] | jeanclaudelclarke@gmail.com |
8c136c45800c0ff8c2165c758acbdb6f43f14c3f | 963b15e58ba6f769253af9ce80a83c2f003a5386 | /pose_estimation/for_middle_feature_vis.py | d30694848b96b5900bbd465bda096466893b5ade | [] | no_license | hsk9767/pose | aa3100b6315065732e56aedabeeea472370627a3 | 8f0981219423e298554f0216235ed350d896acbe | refs/heads/main | 2023-03-03T07:14:31.480532 | 2021-02-17T06:59:59 | 2021-02-17T06:59:59 | 339,636,770 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,658 | py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import pprint
import shutil
import torch
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
i... | [
"noreply@github.com"
] | noreply@github.com |
3c19759b050e380232f30dc447ee3888d2535db2 | 117d0dae50e628646c3603382e9c070a9f702cb6 | /AliExp_OrderListParser/AliOrder.py | d2fc758e395f72846ebd7acf481ec42741aa4262 | [] | no_license | kurtjcu/AliExpressHTMLOrderParser | 58c708c18c37161fb025b0e999618e5d367cecbd | 0e4d78a82fede17f883ecacf18fc6829832d4acb | refs/heads/master | 2021-05-07T18:03:29.236901 | 2017-10-30T04:45:02 | 2017-10-30T04:45:02 | 108,781,262 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 875 | py | #
#
# class for storing an order details
#
#
import time
from AliExp_OrderListParser.AliItem import AliItem
class AliOrder:
def __init__(self):
self.itemList = []
self.seller = "someones shop"
self.orderNum = 666
self.datetime = time.strptime('1979-05-16', "%Y-%m-%d")
se... | [
"Kurt@kurtsch.com.au"
] | Kurt@kurtsch.com.au |
bfa68a39b7b3efae040c6b9329a4a337d7d01419 | fa3f1e168efe701127c50a0aaa8d61c4757be286 | /python5problemset1read.py | f5b00453fca0f3fab4ca5bfa640f28f559390cce | [] | no_license | bryandngo/PFB2017_problemsets | b0ecdca6a6e05f074a5a6056a857963ca26220da | f57da8decaf0976d16a9a4786d678f1aa1ed0f1c | refs/heads/master | 2021-07-15T05:07:15.765951 | 2017-10-22T21:18:38 | 2017-10-22T21:18:38 | 107,168,894 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 202 | py | #!/usr/bin/env python3
file_object = open("/Users/admin/Python5ProblemSet/Python_05.txt","r")
contents = file_object.read()
print(contents)
file.close()
print("File Was Opened and Read 10-19-17")
| [
"admin@pfb16.cshl.edu"
] | admin@pfb16.cshl.edu |
2bfeb26827945a143da5f6f4a5afd5ac7c7c8f47 | 3dbe9d208e8fd03649fd8fbfeafd2f44e5d4165d | /bot.py | 8032c0bb5285d6c60064d19864f9ad7d240c3641 | [] | no_license | tylerlv3/project_poseidon | 37438fe2daae000ba79edc2a4a5b375434f0e8b6 | 56132f8acd5f889f94d8a8ad3b6db6531b9fd396 | refs/heads/master | 2020-05-01T00:50:40.531047 | 2019-03-22T17:02:56 | 2019-03-22T17:02:56 | 177,179,478 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,794 | py | import discord
from discord.ext import commands
import random
import asyncio
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
import youtube_dl
import time
TOKEN = 'NTU1NTQ5ODQ3ODgxNzc3MTUz.D2tHxA.DY7FV9ULgEQoH2oUpsxQ69Q7wbY'
extensions = ['rndfacts']
client = command... | [
"noreply@github.com"
] | noreply@github.com |
a27bdc5dbe7caef23e65b8f108991616833d3a01 | 193a5d50b5dc12a16190fce1c95eb727717f8d50 | /tutorials/Images Classifiers/vgg19.py | 34350d7abea832d29740cabc1d07308c235d5536 | [
"MIT"
] | permissive | AnkitmB125/tflearn | 2ef2e07aa61bc69841ba5d4cf2d5ba132621bf26 | 19c29122a4b58d5c0718562039423b702c897fde | refs/heads/master | 2020-04-25T18:02:13.201352 | 2019-02-27T19:23:22 | 2019-02-27T19:23:22 | 172,970,611 | 0 | 0 | NOASSERTION | 2019-02-27T18:47:34 | 2019-02-27T18:47:33 | null | UTF-8 | Python | false | false | 2,916 | py | """ Very Deep Convolutional Networks for Large-Scale Visual Recognition.
Applying VGG 19-layers convolutional network to Imagenet classification task.
References:
Very Deep Convolutional Networks for Large-Scale Image Recognition.
K. Simonyan, A. Zisserman. arXiv technical report, 2014.
Links:
http://arxiv.... | [
"abhadage@gmail.com"
] | abhadage@gmail.com |
032083abede80dbe6bb0ad327dfe57258ab046c1 | 30595788d5c3cd43eda9c06ee5783a2522d2b04f | /import json.py | cb5f0ef787abafe11079078c9619f344b2800178 | [
"MIT"
] | permissive | OfficialPouya/SmartClock | 603e7a5da89eefebff4a65d57b75e8498535d8b9 | 1b8cdcf5bc6c26eade41abc8d0ee9524431387bc | refs/heads/master | 2020-12-19T05:07:27.630689 | 2020-08-16T13:34:16 | 2020-08-16T13:34:16 | 235,630,109 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 179 | py | import json
# read file
with open('city.list.json', 'r') as myfile:
data=myfile.read()
# parse file
obj = json.loads(data)
# show values
print("Name: " + str(obj['name']))
| [
"pouya.akbar@gmail.com"
] | pouya.akbar@gmail.com |
0107bba8f664413fd57f0ac0e15ae23805251d21 | 8a6f2a6b5cf3be2bea2795f6a09c93e33f7a5909 | /4 İşlem.py | e2cbcc7a3cef9e013ed0022b4175aa0506baaf7f | [] | no_license | SezaiAraplarli/4-islem | 36c67bb6003d0c487a379d14784e4e71d7f7c915 | 4972a00fc6ece8b5f513105c9f4acadb1f3a0b59 | refs/heads/master | 2020-06-25T05:27:06.128626 | 2019-07-27T21:36:46 | 2019-07-27T21:36:46 | 199,215,105 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,054 | py | # Toplama İşlemi
def topla(a,b):
top=(a+b)
print(a,"+",b,"=",(a+b))
# Çıkarma İşlemi
def cikar(a,b):
cik=(a-b)
print(a,"-",b,"=",(a-b))
# Çarpma İşlemi
def carp(a,b):
car=(a*b)
print(a,"x",b,"=",(a*b))
# Bölme İşlemi
def bolme(a,b):
bol=(a/b)
print(a,"/",b,"=",(a/b))... | [
"noreply@github.com"
] | noreply@github.com |
31ee5c556c25850ddd15704dede4c1ff0190e717 | 83e2824b060cea6290563a63dfc5a2caaddccc32 | /problem019.py | 3ab4e40b4de9a056bbdaac0afe9cb807e5089a42 | [] | no_license | 1tux/project_euler | b8f731155eb59c5cdb92efe68f0140695c5b6353 | 9a6c04d08a77d6e80eb15d203c8003870645415a | refs/heads/master | 2021-01-09T20:17:35.502613 | 2016-10-03T16:19:50 | 2016-10-03T16:19:50 | 61,938,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 137 | py | import datetime
c = 0
for x in xrange(1901, 2001):
for y in xrange(1, 13):
if datetime.date(x, y, 1).weekday() == 1:
c+=1
print c | [
"root"
] | root |
eead725f503c98b5e5286f15c4a5ef579502c793 | a19f028c9bbbb2e0046c9d41267a4659f5e4a660 | /venv/Scripts/easy_install-script.py | 22cfdc9a6aefd0bbfe94f8adb485c88850b83481 | [] | no_license | weni09/scrapyprograms | 0d70d4ac63ed366052989b4960e10225d746ce8f | 0a564d2543327b7427c2a655b6ee367a21136d45 | refs/heads/master | 2022-11-12T00:03:48.884181 | 2020-06-29T06:18:10 | 2020-06-29T06:18:10 | 275,747,364 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 445 | py | #!D:\PycharmProjects\scrapyprograms\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install'
__requires__ = 'setuptools==40.8.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?... | [
"wenwei@163.com"
] | wenwei@163.com |
29d48b41bbe62a669fe720e8989acc66a8f7c7bd | b51a9ff5685d522d99429b69df59c352fc34e99e | /test_model1.py | fd6dc3195acd7dd7b446d657720b6b20428f8a93 | [
"MIT"
] | permissive | nvikramraj/Neural_Networks-cifar10 | fba35b86cb3b6c6509150f2208b848b0bb205a0b | 7d23541cb941dcdc6ab11f3f8a24dbc7c94929b1 | refs/heads/master | 2022-07-18T02:17:19.097053 | 2020-05-23T05:01:04 | 2020-05-23T05:01:04 | 266,134,090 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,538 | py | import os
import cv2
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import time
#Neural Network
# 2 conv layer with batch norm , 3 linear layer
# Adam optimizer and MSELoss , one hot vector - labe... | [
"nvikramraj"
] | nvikramraj |
df7cd173843e26f38510ef061189991744f18bb2 | c4aece6955cb571e5a79c370d016ee191b84746b | /compliments.py | 5c0cda2d878c2d853a92c0c5997ef278cf235e6f | [] | no_license | radikal95/goodwords_bot | de403fdb1273631764d23ffe8cb144db74eb9e59 | 00711612879af84362a3b72ac6ae09053a455d95 | refs/heads/master | 2020-03-28T20:04:22.347551 | 2018-09-16T21:01:48 | 2018-09-16T21:01:48 | 149,035,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,270 | py | import random
compliment = ['Ты молодец, не расстраивайся!', 'У тебя всё получится!''Ты молодец',
'Ты умница',
'Ты герой',
'Ты отлично сегодня выглядишь',
'Ты отлично выглядишь, невозможно налюбоваться',
'Ты умеешь расположить к себе',
'Нет таких сложностей, с которыми ты не справишься! Ты же почти гений',
'Ты со всем... | [
"radushin.arseny@yandex.ru"
] | radushin.arseny@yandex.ru |
7a2ac4da6b55db2ccc0c022304cb9443b0d99e2e | 8ccca2a9b3a77ed2e65beccbe2c846d8c8355f77 | /alipay/aop/api/domain/AlipayMarketingCampaignDrawcampTriggerModel.py | f2a5cd7fe99db5417ddbca73ef3ad59a258ae3df | [] | no_license | jkjkiiiii/KDFP-server | 9d1887409641e26d0dcc491d2726b356e5955256 | c196a6d9aa18b59917bfdc4ea1d452b32631c860 | refs/heads/master | 2020-04-26T04:45:55.400935 | 2019-04-01T08:51:40 | 2019-04-01T08:51:40 | 173,312,850 | 0 | 0 | null | 2019-03-01T14:10:59 | 2019-03-01T14:10:59 | null | UTF-8 | Python | false | false | 4,316 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayMarketingCampaignDrawcampTriggerModel(object):
def __init__(self):
self._bind_mobile = None
self._camp_id = None
self._camp_source = None
self._channel_info ... | [
"1056871944@qq.com"
] | 1056871944@qq.com |
e23d1e57cc1d9d0e903427af7e40d12428563d84 | 32d6473c5ea02315a8ab40641f0b3ac36c19ee52 | /monerdnode/utils.py | 10b04e8ebbccdee45deeeaeab7be29907183d6e7 | [] | no_license | nkapashi/MDCLI | a496349d95bebbba6556112278a2e9c89c58421c | ad65d1a27c0a50785b6130b7581e69070b8fede7 | refs/heads/master | 2020-03-21T16:48:48.780447 | 2018-06-26T21:46:46 | 2018-06-26T21:46:46 | 138,787,352 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,211 | py | from datetime import datetime, timedelta
import sys
generalErrorText="""ERROR:
Either no response was recevied by monerod or the resposne contained an error.
Double check your connection details and any input data."""
def calcUptime(timestamp):
"""Function that returns uptime in day,hour,minute forma... | [
"nikolay.kapashikov@gmail.com"
] | nikolay.kapashikov@gmail.com |
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