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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fdd25e91bdb09e58d4f219ef3803e81fd78e0545 | 6493bc4fdf2618b401c7c2acf6e04567a27a1b00 | /klearn/kernels/__init__.py | 1a14748333710a3cb0f1405360498e01722b3acd | [] | no_license | mpharrigan/klearn | 75dc5bfea65ed7018fd42d7eb502b32c4ff7a007 | 697e62993cf3a42444cc9115f8fea0425950fec2 | refs/heads/master | 2021-01-16T00:31:34.616280 | 2014-05-21T22:50:10 | 2014-05-21T22:50:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | from .baseclasses import AbstractKernel
from .dotproduct import DotProduct
from .polynomial import Polynomial
from .gaussian import Gaussian
| [
"schwancr@stanford.edu"
] | schwancr@stanford.edu |
06987544b5a7feb1dbbc7995c0edfea534eb7a34 | 34fb963c4c942d7d9e64d91deb97f58136f32861 | /resources/viewmodels.py | 5826fdc12d9d76b81598bc85be256eef22c9d94a | [] | no_license | dalelicious/iwantremote | 180ca95429fdf9af305c40aeaaf43c0bce5ac52c | 70509125e9981a2624c4d05f8de60ead194db154 | refs/heads/master | 2023-06-01T08:40:42.238496 | 2021-06-24T10:37:03 | 2021-06-24T10:37:03 | 209,974,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 370 | py | # Django
from django.utils import timezone
# Resources
from . models import Resources
class ResourcesViewModel():
def get_blog_by_name(self, blogTitle):
""" Get blog by id
"""
blog = Resources.objects.get(slugTitle=blogTitle)
return blog
def get_blog_list(self):
""" Get all blog
"""
blog_li... | [
"dale.torre@ubiquitygs.com"
] | dale.torre@ubiquitygs.com |
5d978145f8d58e4ca97c9537773c5ee11431fccb | 539f531d07faf4d86ccc548e2b6dae706056a906 | /Environnement/dags/Batch_Longueur_Chaine.py | baf53e3917fcb9dd10dc3761bebaa8cf8db98556 | [] | no_license | Allan06/TPT-Airflow | f9c7202982fcd63a402584ae6569254b1cf43cfe | 8461684e8f6c6c1923d1681e417e483a20a67a9b | refs/heads/master | 2023-04-10T23:40:36.397472 | 2021-04-18T01:19:02 | 2021-04-18T01:19:02 | 350,856,214 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,546 | py | from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.operators.bash import BashOperator
from airflow.utils.dates import days_ago
from airflow.providers.mysql.operators.mysql import MySqlOperator
import pandas as pd
import numpy as np
import glob
import os
# ======================... | [
"allanpajany@hotmail.fr"
] | allanpajany@hotmail.fr |
694c27356be2599a64a8f60afce851dbb984aa19 | 11c2e1b6fada746b71e0bd9575f5936a352f14df | /Compare.py | d815227a2fcbf91b0d4faed9af68ce50ace23ec5 | [] | no_license | Eglopez/Python-GUI | 6e3e49f25ebb9f60b41d1981c46d6852f5a5eb51 | 05d7c71206d293aea2e8a32a21809f06d9fdcb2c | refs/heads/master | 2020-07-05T08:34:26.338755 | 2019-08-20T00:55:45 | 2019-08-20T00:55:45 | 202,592,236 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,385 | py |
class Compare():
def __init__(self):
self.alphabet = "!@#$%&/()=?¡¿¡[]{*}012345678890abcdefghijklmnñopqrstuvwxyzABCDEFGHIJKLMNÑOPQRSTUVwXYZáéíóúÁÉÍÓÚüÜ"
def compare(self,obj1,obj2):
obj_1 = ""
obj_2 = ""
if(type(obj1) == 'int'):
obj_1 = "%s" % obj1
i... | [
"eduardolopezlainez2001@gmail.com"
] | eduardolopezlainez2001@gmail.com |
a582cff63bfa1208999424ac532f639d57e4946c | ce6fc44470dcb5fca78cdd3349a7be70d75f2e3a | /AtCoder/Grand 039/A.py | 2ec2212c13eebe7ef3a938d8513f35a3b69c6e01 | [] | no_license | cormackikkert/competitive-programming | f3fa287fcb74248ba218ecd763f8f6df31d57424 | 3a1200b8ff9b6941c422371961a127d7be8f2e00 | refs/heads/master | 2022-12-17T02:02:40.892608 | 2020-09-20T11:47:15 | 2020-09-20T11:47:15 | 266,775,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 546 | py | S = input()
K = int(input())
import random
import string
def count(string):
total = 0
i = 1
while i < len(string):
if string[i-1] == string[i]:
total += 1
i += 1
i += 1
return total
if S == len(S) * S[0]:
res = (K * len(S)) // 2
elif S[0] == S[-1]:
... | [
"u6427001@anu.edu.au"
] | u6427001@anu.edu.au |
4a98bbe875ea92033cf4104a4afb702dc69a4f41 | 8873755db1c83c077921f13dc2ce2af54326861c | /neuralNetwork.py | da687d60ac4250d1f9c600f7fa3c459ce1933f36 | [] | no_license | sgandhi101/TSLA_Prediction | 72de42c18a505e3e083329099655e45460472599 | cc5f664d302c1e1d421e96d3d89655cbc79b178b | refs/heads/master | 2023-01-22T01:52:25.138625 | 2020-11-30T19:05:09 | 2020-11-30T19:05:09 | 316,622,961 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,039 | py | # DO *NOT* RUN ON LOCAL COMPUTER, SEE NOTE BELOW BEFORE ATTEMPTING
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report, confusion_matrix, accuracy_sco... | [
"sugandhi@iu.edu"
] | sugandhi@iu.edu |
26654af914453d575f2b21bbae4b6a0ee5ba6035 | a49acc754f99706a74270ba867d11b7851131160 | /apps/users/models.py | 378b91f30f559ed736d1cc026a3438ef59ff4d9f | [] | no_license | xr1627119275/MxOnline | ff45dc4c2b116bad6c9609b7b636ee15827609de | d22296ef7d79a62b835f2349b71791d11772910e | refs/heads/master | 2021-07-21T07:00:23.608556 | 2017-10-30T07:39:38 | 2017-10-30T07:39:38 | 108,816,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,854 | py | # _*_ encoding:utf-8 _*_
from __future__ import unicode_literals
from datetime import datetime
from django.db import models
from django.contrib.auth.models import AbstractUser
# Create your models here.
class UserProfile(AbstractUser):
nick_name = models.CharField(max_length=50,verbose_name=u"昵称",default='')
... | [
"1627119275@qq.com"
] | 1627119275@qq.com |
f338508b43ff286c18818c649354e6ab8c88919d | c87727a77d17eef2afebc72c29e3ee347d05737c | /task3_1.py | 930e5fa01a350f9dbb1fc7fb34787ec805a133bf | [] | no_license | ikosolapov1983/Homework3 | 5331d8e2afec69e2752b74317187ddb0883e81d0 | 20482824f134fae66e46a8b03a48c0df486d4de5 | refs/heads/master | 2020-08-05T00:45:59.740475 | 2019-10-05T12:14:08 | 2019-10-05T12:14:08 | 212,337,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 56 | py | x = 0
while x <= 10:
print(str(x) + "!")
x += 1
| [
"ikosolapov@hotmail.com"
] | ikosolapov@hotmail.com |
7c856f3effb8ea92ca241b2013673a63a53dd7ef | dfdb55ae1a05edada92d3840c67dec7e2d4da1e9 | /realEstate/listings/views.py | 171dc2333876d55e475fbc872e423f7d2047e42a | [
"MIT"
] | permissive | OmarSalah95/Django-Toy | 17ee3646665c9e1bcc8ecbb354142f8dadd74ed5 | 4899b5f9e30dae0623aa9a3a134e375cacccea10 | refs/heads/master | 2023-04-27T12:06:05.813683 | 2019-11-18T00:49:59 | 2019-11-18T00:49:59 | 222,306,035 | 0 | 0 | MIT | 2023-04-21T20:47:56 | 2019-11-17T20:15:03 | CSS | UTF-8 | Python | false | false | 281 | py | from django.shortcuts import render
# Create your views here.
def index(request):
return render(request, 'listings/listings.html')
def listing(request):
return render(request, 'listings/listing.html')
def search(request):
return render(request, 'listings/search.html') | [
"42569856+OmarSalah95@users.noreply.github.com"
] | 42569856+OmarSalah95@users.noreply.github.com |
1134bd350cd0de3c935b8bc8e1ae7403c7749842 | 5de046cc4849f52a5737c2591b2c0144b9981103 | /policy_gradient.py | b724c24eca9a498c044fd4cd71ec650f38370df7 | [] | no_license | lionelblonde/cartpole-pg-intro-tf | 36300d015c1e328103b45d5c76283f4249424dfa | 1c896c991d6b758a379685708f6348ffc1115537 | refs/heads/master | 2020-03-06T18:48:44.028750 | 2018-03-27T16:31:15 | 2018-03-27T16:31:15 | 126,859,614 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,489 | py | import gym
# from gym import wrappers
# import math
import random
import numpy as np
import tensorflow as tf # since we now use gradients
import matplotlib.pyplot as plt
# This function is useless here: tf provides tf.nn.softmax()
def softmax(x): # x is a vector
# substract by the max for num stability - mathem... | [
"lionel.blonde@gmail.com"
] | lionel.blonde@gmail.com |
60188d8b70ac88226e0b5c0c47a462c35d280a1f | fe281868b9321c3b8e186f5349bd022e2a082e07 | /实验2_垃圾邮件过滤/贝叶斯多项式算法/main.py | 9869ce07a319ff0c6b8b06560ecc49d34868459d | [] | no_license | LastCigarete/infosecurity | c51d381276a05d3e7f82769cd286e9958ee2fb15 | 780c088d7c139bfe1bdf09445ff773ef53ac8156 | refs/heads/master | 2023-03-15T18:15:04.080890 | 2020-05-06T03:15:46 | 2020-05-06T03:15:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,277 | py | #coding=utf-8
import os
from collections import Counter
import numpy as np
import random
import re
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei']
def getFileDiv():
hamFile = './/email//ham'
spamFile = './/email//spam'
hamEmails = [os.path.join(hamFile,f) for f in o... | [
"1029076560@qq.com"
] | 1029076560@qq.com |
56799809ff84f9be3ec51a12f546d1c89424b975 | d305e9667f18127e4a1d4d65e5370cf60df30102 | /tests/ut/python/dataset/test_random_crop_and_resize_with_bbox.py | 2727325e007ba40b6bb6c02558a5846a078903a1 | [
"Apache-2.0",
"MIT",
"Libpng",
"LicenseRef-scancode-proprietary-license",
"LGPL-2.1-only",
"AGPL-3.0-only",
"MPL-2.0-no-copyleft-exception",
"IJG",
"Zlib",
"MPL-1.1",
"BSD-3-Clause",
"BSD-3-Clause-Open-MPI",
"MPL-1.0",
"GPL-2.0-only",
"MPL-2.0",
"BSL-1.0",
"LicenseRef-scancode-unknow... | permissive | imyzx2017/mindspore_pcl | d8e5bd1f80458538d07ef0a8fc447b552bd87420 | f548c9dae106879d1a83377dd06b10d96427fd2d | refs/heads/master | 2023-01-13T22:28:42.064535 | 2020-11-18T11:15:41 | 2020-11-18T11:15:41 | 313,906,414 | 6 | 1 | Apache-2.0 | 2020-11-18T11:25:08 | 2020-11-18T10:57:26 | null | UTF-8 | Python | false | false | 9,546 | py | # Copyright 2020 Huawei Technologies Co., Ltd
#
# 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 agreed to... | [
"513344092@qq.com"
] | 513344092@qq.com |
50e30b493faf1d7f25e8435890ae0d3625daa2f5 | d0dcc77793433e31adda34b0a9989da694b61f19 | /caffe_visualization_tools/visualization_tools.py | b9d1fea0d025e807465ef4f5541ed1d1c48d94af | [] | no_license | MagicSen/python_tools | 0bac702a31ad5b8b742fe809e63f027891783d4c | 296b375cb3807f8436ce6b7c8a661daeecd975c1 | refs/heads/master | 2021-09-02T15:57:59.758341 | 2018-01-03T14:10:17 | 2018-01-03T14:10:17 | 116,134,861 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,681 | py | ##
# @file visualization_tools.py
# @brief This tools is for caffe model visualization.
# @author Yang Sen, magicys@qq.com
# @version 1.0.0
# @date 2017-01-04
# Copyright(C)
# For free
# All right reserved
#
import numpy as np
import matplotlib.pyplot as plt
import sys
import caffe
import os
import pylab
# set the p... | [
"syang@usens.com"
] | syang@usens.com |
305be6d509218ff7f44913a393a6d3dd1e53e492 | 9d8ab91c052ec637b396d07862225d331b3084e3 | /find_uid.py | d4122bff071adcfc72a9c1d04f092405b1b5f916 | [] | no_license | yazdipour/security-assignments | 13ed50cf2b081ad63bd11920491dc00995e2c30d | 30b49442bc0bb5b415f200e1202e4b0f40439a57 | refs/heads/master | 2022-11-29T02:30:53.200737 | 2020-08-03T14:03:09 | 2020-08-03T14:03:09 | 261,142,088 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 198 | py | import struct
import subprocess
uid = subprocess.check_output('id -ur', shell=True)
iuid = int(uid)
xuid = hex(iuid)
print xuid ##0x3e8
buid = struct.pack("I", iuid) #'\xe8\x03\x00\x00'
print buid
| [
"shahriar.yazdipour@outlook.com"
] | shahriar.yazdipour@outlook.com |
30d736d8402f7e58e7668fb6e6c5636bb1ed7d5a | c2fe2b45ca6c1372596834af4686e84f66ce6f0b | /apps/files/forms.py | 796d381fd3e7f45cbfe5ccb264168e64033df360 | [] | no_license | seun-otosho/DjModelProject | 9cecf18fac66ad729f0bde88cccb18d224928b06 | 75aa0d1dc465556f3afa31abce6e6f51f04e5671 | refs/heads/master | 2023-05-13T04:00:24.787683 | 2021-05-31T02:17:43 | 2021-05-31T02:17:43 | 369,716,916 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 264 | py | from django import forms
from . import models
class submissionForm(forms.ModelForm):
class Meta:
model = models.submission
fields = [
"file_name",
"file",
"object_id",
"content_type",
]
| [
"seun@kolacredit.com"
] | seun@kolacredit.com |
6c6dfcc9661470d7e551972b314a494d43f7f4b6 | 01082af86cad0824cbc33b87320adea3eef6ac11 | /classstatd/admin.py | 7ad1845474bee7eb57607c77f98e1cd6ad0263d4 | [] | no_license | hanul500/dreamy | 224f259665aed64db05ad773d3b1403899c59183 | 26927c771ec3735d07363696153d4e4fa23ce56b | refs/heads/master | 2020-12-04T22:34:25.100751 | 2020-01-05T19:07:38 | 2020-01-05T19:07:38 | 231,923,912 | 0 | 0 | null | 2020-01-10T17:31:54 | 2020-01-05T13:47:14 | JavaScript | UTF-8 | Python | false | false | 189 | py | from django.contrib import admin
# Register your models here.
from .models import *
admin.site.register(Classstatinfo)
admin.site.register(stat_mat_rel)
admin.site.register(stat_tool_rel) | [
"hanul500@naver.com"
] | hanul500@naver.com |
1e589a1a4cc05b5d9810004cab44e34774d06d70 | f1bdc509d64633fde353b58bd283b9c06da6a71c | /plot.py | ae52d8c562bb832b7b9b2d11a7977af1bca1d816 | [] | no_license | Fersol/tcp-congestion-ns3 | 503b1829808814e224a150bfd9f890e1d9c5b203 | b181311fb24ba53e9acf582b3d6f9467eb131311 | refs/heads/master | 2022-04-16T19:54:33.586905 | 2020-04-15T19:47:02 | 2020-04-15T19:47:02 | 255,039,380 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 781 | py | import pandas as pd
import matplotlib.pyplot as plt
import argparse
def parse_args():
parser = argparse.ArgumentParser(add_help=True, description="Files to plot")
parser.add_argument("-files", "--files", nargs="+", required=False,
default=('cwndVegas.tr', 'cwndNewReno.tr', 'cwndBic.tr')... | [
"alex-2011.s@yandex.ru"
] | alex-2011.s@yandex.ru |
1a90032ae1d4bb24c7395045105044791c01642b | 81f73066919c22cb5649a9095233d2edf92f4a1b | /data_process/data_process/data_process.py | afdb638cd5e3ec846c817eb74167fb8e5288886d | [] | no_license | jity16/Campus_Network_Management | 20d4ea2d2ae29f1bad9f3dfe1c85e7158ec7c371 | bff5f8897dc7fa36e96bc963d22524a9cd2bbcde | refs/heads/master | 2020-06-17T12:30:39.428441 | 2019-07-09T03:30:03 | 2019-07-09T03:30:03 | 195,925,194 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,256 | py | class Host():
def __init__(self):
self.state = ""
self.ip = ""
self.portlist = []
class Port():
def __init__(self):
self.id = ""
self.state = ""
self.name = ""
import os
import pickle
from xml.dom import minidom
def get_attrvalue(node, attrname):
return n... | [
"jity16@mails.tsinghua.edu.cn"
] | jity16@mails.tsinghua.edu.cn |
b083604a03c1f5064d2aff52934739fa3325be94 | fa639f7fd14c4b860c06eb0ae5b66217bb83a585 | /lambda/main.py | 3acd167a5537af6bb63c5b27aabbd3810e0474c3 | [] | no_license | Lcmkey/aws-cdk-serverless-deep-learning-inference | c007331b25237eefbadb065571e18e6bc572c042 | 2b56c8c527669d93ef76b36347f742de138b7b58 | refs/heads/master | 2023-02-26T09:06:53.946495 | 2021-02-01T14:01:57 | 2021-02-01T14:01:57 | 322,429,748 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,244 | py | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
import sys
import os
# Setting library paths.
efs_path = "/mnt/python"
python_pkg_path = os.path.join(efs_path, "tensorflow/lib/python3.8/site-packages")
sys.path.append(python_pkg_path)
import json
import string
im... | [
"lcmkey@gmail.com"
] | lcmkey@gmail.com |
46951ff9e914c649aac2882ba5d1e640deded76e | 866182bc8950cf851c412777871a4157f7bf2fff | /smsp/schema_utils.py | 7f3c16ace73070a087c653aa6d254ad8d6263ee0 | [
"MIT"
] | permissive | elementechemlyn/pysmsp | f8170e51e28feaeb24b252cd6d442e13ce8199b4 | a6ddea5068bfc67dbeb94d73a9290f12ec726d46 | refs/heads/master | 2021-09-02T10:18:56.306691 | 2018-01-01T20:45:29 | 2018-01-01T20:45:29 | 115,945,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,141 | py | import sys
import re as re_
import base64
import datetime as datetime_
import warnings as warnings_
try:
from lxml import etree as etree_
except ImportError:
from xml.etree import ElementTree as etree_
Validate_simpletypes_ = True
if sys.version_info.major == 2:
BaseStrType_ = basestring
else:
BaseStr... | [
"emlyn@blue"
] | emlyn@blue |
b5c2d29c6ec32dea08c50833b0043f0b3d64b696 | e8c0f3c3ef2c1476b3e2af01ba63fea3cd993787 | /tools/google_activity_parser.py | 2902242ccfe5702ac057657d1d7c41559b3197b4 | [] | no_license | hal2001/machine_learning | 05ff47a2fe08fa7267a673b54c84f939c3ef565c | 39c857fa937b3301d42624ef9b264ab04b49c3dc | refs/heads/master | 2020-03-11T15:28:01.434296 | 2018-02-15T18:53:22 | 2018-02-15T18:53:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,865 | py | # -*- coding: utf-8 -*-
"""
Parses "My Activity" from Google, specifically for Google Search
Author: Aaron Penne
Example input of a single Google search:
<div class="outer-cell mdl-cell mdl-cell--12-col mdl-shadow--2dp">
<div class="mdl-grid">
<div class="header-cell mdl-cell mdl-cell... | [
"noreply@github.com"
] | noreply@github.com |
d1e9592a5372de64fff11d1be0fd0d8c24210af6 | 39add6f458ca28dcc5cf4dbe3afde986cedd8648 | /VAE.py | 1a1275a0108f1d04db5cfcacc6c45ff5aaa7c30f | [] | no_license | ArifulIslamPreence/Radio-link-failure-prediction-drafted-obsolete | 1e219919280d4160678c68b6dddd8220e81b8a70 | 5c85f76a8731530f8a7b06a774c87cbd8bb7c049 | refs/heads/master | 2023-06-25T17:52:25.359385 | 2021-07-12T17:38:43 | 2021-07-12T17:38:43 | 385,331,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,016 | py | '''Implementation of Variational Autoencoder Network for dataset reconstructing into normalized form.
The whole combined dataset is fed into model by spliting batches'''
import csv
import numpy as np
import pandas as pd
from sklearn import preprocessing
import seaborn as sns
from sklearn.model_selection import train_... | [
"noreply@github.com"
] | noreply@github.com |
5adb1a7c3497fb7477cdb13de87de36dbe2cfa4e | 531bb144a2027f0db257bf2e7166e9231bb475ec | /node_modules/mongoose/node_modules/mongodb/node_modules/bson/build/config.gypi | 5ea2a9787107a20e60bdc2bbc75271e0fb9dd77d | [
"Apache-2.0",
"MIT"
] | permissive | Rmoore424/reciprosity | bd4e5bb806ce1f7000baccf92695b6cd6e02fa53 | b264ab4a0c310066338cec66aa4661e2be6a8f9f | refs/heads/master | 2021-03-12T22:12:15.738135 | 2015-02-07T21:39:30 | 2015-02-07T21:39:30 | 30,359,899 | 0 | 0 | null | 2015-02-07T21:39:30 | 2015-02-05T14:39:00 | JavaScript | UTF-8 | Python | false | false | 3,270 | gypi | # Do not edit. File was generated by node-gyp's "configure" step
{
"target_defaults": {
"cflags": [],
"default_configuration": "Release",
"defines": [],
"include_dirs": [],
"libraries": []
},
"variables": {
"clang": 1,
"host_arch": "x64",
"node_install_npm": "false",
"node_pref... | [
"Rmoore424@gmail.com"
] | Rmoore424@gmail.com |
73063d99ce9277f02182be41df4226b158411a0a | 147e37057d507c499d9474204d8b9ec01aa048ba | /backend/src/blog/models.py | 61a2677cc07905135442778699d2d7e8eb4d0d6d | [
"MIT"
] | permissive | andebor/overflow | de4cc231a95cfabba48aeda7a0de20c5c0d6ccb5 | b4860bade3587ae233422a973c6ffb8fae6031b7 | refs/heads/master | 2020-05-19T20:30:15.110110 | 2019-05-05T21:25:12 | 2019-05-05T21:25:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,038 | py | from django.contrib.auth import get_user_model
from django.db import models
from django.utils.text import slugify
class Tag(models.Model):
name = models.CharField(max_length=256)
def __str__(self):
return '{}'.format(self.name)
class Post(models.Model):
title = models.CharField(max_length=256)
... | [
"myth@overflow.no"
] | myth@overflow.no |
479ea80a853b8988ea10248c71a04b9972d837aa | 7f99c0d6fd03ac7388efc9713a311040989fda59 | /Python/script_runner/test/db.py | fe2e2691172da8431f2d67aad803d1f27425c0cc | [] | no_license | helver/Alliances | 35b688513e9030751d33d9d0b17adeb3ed5f1aa8 | 4e85e3453fac3484d293208db5bf7dc44518cc14 | refs/heads/master | 2021-01-15T16:29:30.158420 | 2015-04-30T14:09:45 | 2015-04-30T14:09:45 | 34,855,302 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,447 | py | import string
import twisted.internet.defer as defer
import twisted.internet.reactor as reactor
import mir.models as models
import re
import mir.identity as identity
database = "/usr/lib/python2.5/site-packages/mir/script_runner/test/"
job_script = file(database + "data/job_scripts/basic_agent_1.xml").read()
job_sc... | [
"ehelvey@gmail.com"
] | ehelvey@gmail.com |
09e278b839107b839c504a7ee39854da665cd9f9 | 394072f7fd3e2a226aeed78bf0a4f587f4c4e383 | /lambdaExpr/pick_lambda.py | eb8c2306a372907e577c942ccd5c5b4e7827dcb3 | [] | no_license | LeonCrashCode/DRSparsing | ec5cca079a2c73eb512444e1ac86215722e6503a | c7e92beb8878ff2386bc6789e6c17f0d35bf1277 | refs/heads/master | 2020-03-16T09:52:11.217219 | 2019-01-17T14:20:16 | 2019-01-17T14:20:16 | 124,549,958 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 932 | py | import sys
import types
import json
def ascii_encode_dict(data):
ascii_encode = lambda x: x.encode('ascii') if isinstance(x, unicode) else x
return dict(map(ascii_encode, pair) for pair in data.items())
def tostring(expre):
assert type(expre) == types.DictType
re = []
re.append(expre["type"]+"(")
if len(... | [
"jmliunlp@gmail.com"
] | jmliunlp@gmail.com |
1099e40b6a420049aa66c9efe1dffc09c240475a | a960f0f01beab623e4ce1c21382284ff409ad2cd | /Python/venv/Lib/site-packages/pmdarima/model_selection/_validation.py | cd715ad44cbb9b94ae10578b535aa5bdb5b804d5 | [] | no_license | eoeroglu/grad-proj | e343c0266de1768417aa8724a6440cb088f9d014 | 3cef3383e5dd0f9937c18512fe8c6dc3b00e7729 | refs/heads/master | 2022-11-19T11:06:42.429979 | 2020-07-20T06:25:24 | 2020-07-20T06:25:24 | 257,416,646 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,442 | py | # -*- coding: utf-8 -*-
"""
Cross-validation for ARIMA and pipeline estimators.
See: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/model_selection/_validation.py
""" # noqa: E501
import numpy as np
import numbers
import warnings
import time
from traceback import format_exception_only
from sklearn ... | [
"eoeroglu@gmail.com"
] | eoeroglu@gmail.com |
81c76479930f2493db07e52dad0cb747a679b934 | 2dc23883f2cf91176907316fbeb5e95517e9c878 | /Experiments/main.py | 55fe2be1326b7866e37028f38f002253398951c1 | [
"Apache-2.0"
] | permissive | nour-mubarak/eye-gaze-dataset | 835f53542f256bbe646d6a0fa200aedeaa859878 | 82f2427541a54e3d5e20cc7850ed75c84d80988f | refs/heads/master | 2023-05-03T00:49:01.117203 | 2021-05-21T03:12:04 | 2021-05-21T03:12:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,449 | py | import os
import argparse
import torch
import sys
import random
import logging
import numpy as np
import torch.nn as nn
import torch.optim as optim
import matplotlib.pyplot as plt
from visdom import Visdom
from datetime import datetime
from torchvision import transforms
from imgaug import augmenters as iaa
from torch.u... | [
"Ismini.Lourentzou@ibm.com"
] | Ismini.Lourentzou@ibm.com |
29e38aed9818dbd98fd36c0f4dcf2c39bf1a9e2d | 4261f5ed5e3401ae9bc8ad09149d6d3529afbefb | /models.py | 5b53597c87c0f81ed624d13c39cdcf1330c0589c | [] | no_license | lrivallain/survey | 165c928d4f830fbda161eee40644f8385d2b0c23 | 798a3732cda854b22ae73e3ecf85c736ea2bede0 | refs/heads/master | 2021-01-10T07:38:04.692743 | 2019-05-19T07:14:47 | 2019-05-19T07:14:47 | 36,890,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,619 | py | from django.db import models
from django.contrib.auth.models import User
import random
import string
from django.utils import timezone
from datetime import datetime, timedelta
# Tocken settings
TOKEN_LENGTH=20
TOKEN_REF_SETS=string.ascii_letters + string.digits
# Generate a random token with TOKEN_LENGTH characters fr... | [
"ludovic.rivallain@gmail.com"
] | ludovic.rivallain@gmail.com |
a7ebc45ec08fa90f7be4d3ab92e042f19fa0326a | cd74536e8403400675e8b54fa64ee6466400370f | /bot.py | 6b6baa487ed1d5d668d9476a1b22feac1766868a | [
"MIT"
] | permissive | volskaya/norman | 1feff41d91ba64de714f0a37e041d4bba8b0c515 | dc414b0b661cce3b8c9fd06c50c52c5c7f6cf0b9 | refs/heads/master | 2022-02-21T00:36:01.611059 | 2019-09-19T13:40:45 | 2019-09-19T13:40:45 | 141,054,561 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,349 | py | #!/usr/bin/env python
""" Copyright (C) 2018 github.com/volskaya
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify,... | [
"roolaav@gmail.com"
] | roolaav@gmail.com |
67496ec447aca5bf4189dab19f0983fcd1386567 | ed410a1af46f1c52a7803eb23c64b396b9eb952b | /google-gcp/automl_sample_code/automl-detect.py | f945c0cc3ad01bcf6b2af444309bdb06602b9926 | [] | no_license | vaibhavpatil123/reference-architecture | 0afbe2a0635b77d9d0ca60d8afaf2d83e3079016 | 2d9dfb57f2bb87bef297b6bbcac6f3184f26843b | refs/heads/master | 2022-03-04T23:07:19.741351 | 2019-10-28T14:06:00 | 2019-10-28T14:06:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,359 | py | #!/usr/bin/env python
# Copyright 2017 Google Inc. 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... | [
"jorwalk@gmail.com"
] | jorwalk@gmail.com |
67b4fdb18932e728d619611ee41d81e11eb82f6e | 02c6b39399c1cfb434ad718c90bed3d8e6310ed0 | /symbolic/symbolic_interval/__init__.py | a05b1f606a6c61911dc1a5c02ffb66d08e5ade09 | [] | no_license | phate09/SafeDRL | 09b8924fa91aa43cf543ea5727ebe4cc8e13c0a5 | 3d4278eaaabb046a90fc1cebd1b5862d63dc5894 | refs/heads/master | 2022-09-17T05:12:28.529329 | 2022-08-29T08:21:32 | 2022-08-29T08:21:32 | 204,663,981 | 8 | 3 | null | 2021-12-02T14:13:46 | 2019-08-27T09:07:04 | Python | UTF-8 | Python | false | false | 97 | py | from .interval import Interval, Symbolic_interval
from .symbolic_network import Interval_network
| [
"phate09@hotmail.it"
] | phate09@hotmail.it |
4234da45fec98149194742c6fe4d1dea150fa8dc | ea7ae0d383b3d97cde7995eaeda9651afc2496c4 | /main.py | b4923bbcd52ab065f981cfbd83b98da0734a3416 | [] | no_license | Brucejy/Human-Protein-Atlas-Image-Classification | 7abef1a42c5f9fd683cfbf2f781d24ae2957a925 | 0eb4e502db291e2a863ea1a2818d6f72242c6b93 | refs/heads/master | 2020-05-23T02:11:25.619370 | 2019-05-18T07:29:41 | 2019-05-18T07:29:41 | 186,598,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,133 | py |
# coding: utf-8
import keras
from keras import backend as K
from keras.models import Model
from keras.layers import Activation, Dense, Input
from keras.optimizers import Adam
import os, cv2
import numpy as np
import glob
import pandas as pd
from keras.preprocessing.image import ImageDataGenerator
from sklearn.model_s... | [
"b25940965@gmail.com"
] | b25940965@gmail.com |
e7a41ab6ff5efcaeebafaabd9037e6b8f9d2cadc | 55cc60ae22e27b121383098aae7c7ab36f2bb64f | /exercices/045/solution.py | e87f5aab9db144e93f73f4b0492504c664388865 | [] | no_license | lnarbona/hackinscience | 6ad804faa2a6ce0a9d14d070f1808b6851fcafa3 | 1497c33e29a4cfe8ac009ae1894661aacc95e5c3 | refs/heads/master | 2021-07-07T00:13:33.986964 | 2015-12-15T10:38:08 | 2015-12-15T10:38:08 | 43,556,220 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 43 | py | def sqrt(numero):
return numero**(0.5)
| [
"lara.narbona@cri-paris.org"
] | lara.narbona@cri-paris.org |
df824d5307b1a45d4bdaaf6834c8633efa3b5d87 | 0a14400b5df85592b9732ef00c893f62a458554b | /src/main.py | aee09a0a7404ad5eb0498de67c44241deb38229f | [] | no_license | a1rwulf/movlibgen | c193e19110164806b017074462079c43eb5ad8fc | b66c5c7e76084383846ef51d77b3ff60162bcb7c | refs/heads/master | 2020-06-14T05:53:50.781062 | 2019-10-07T09:28:33 | 2019-10-07T09:28:33 | 75,224,771 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,148 | py | import tmdbsimple as tmdb
import configparser
import time
import os
from datetime import datetime
config = configparser.ConfigParser()
config.read('movlibgen.cfg')
x = 'abcdefghijklmnopqrstuvwxyz'
path = config.get('CONFIG', 'PATH')
samplefile = config.get('CONFIG', 'SAMPLE')
tmdb.API_KEY = config.get('CONFIG', 'API_K... | [
"haupt.wolfgang@gmail.com"
] | haupt.wolfgang@gmail.com |
5022b25cb069afe810d84ff795b402a89157ac94 | 20eb79521bfd5103dd088ef9ddd7b0e654b3e3f9 | /Binary_search.py | 4f3e93a7ce7e39189c0e13633c67fa90a8e0103d | [
"Apache-2.0"
] | permissive | Sourav4yogi/Python | dfec0403b22f3d3df95397926b560889fad63d6c | 53284da8982a76638bff230f3230c3adee5195d8 | refs/heads/master | 2023-05-26T11:54:49.872038 | 2023-05-20T14:47:12 | 2023-05-20T14:47:12 | 263,278,082 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | def binary_search(array,item):
high=len(array)-1
low=0
while high>=low:
mid=int((high+low)/2)
guess=array[mid]
if guess==item:
return mid
if guess>item:
high=mid-1
else:
low=mid+1... | [
"noreply@github.com"
] | noreply@github.com |
7b68ba9a1d655a781e41cb1aeb3c4390cd69e5fa | 3cf379c79764a0aa8bdd556b90ad3b1c287f8bba | /models/base/model_base.py | 6afb121d0034490558d0d5ff5d81325b16c4d7fc | [] | no_license | alexnwang/SketchEmbedNet-public | b2c5924ba02e0d01343e1adbbae63529d3a1c78a | a98b212f91c459b575546edebf127c7ade85fb4e | refs/heads/master | 2023-01-10T00:14:03.945769 | 2020-11-06T19:59:27 | 2020-11-06T19:59:27 | 285,636,393 | 11 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,015 | py | import os
import tensorflow as tf
class BaseModel(object):
"""
Basic model
"""
def __init__(self, base_dir, model_id):
self._base_dir = base_dir
self._dir = os.path.join(base_dir, model_id)
self._summary_dir = os.path.join(self._dir, "tfsummary", self.__class__.__n... | [
"alexn.wang@mail.utoronto.ca"
] | alexn.wang@mail.utoronto.ca |
7933f46b513502a6a56250aef30b1525cc20a4e3 | a15b9fe01e2edb0c126d926e2f5ad4d0e2e5c33f | /listings/urls.py | 9bdb96448ff8143ffb269c01e05598c474c24417 | [] | no_license | zohaibk22/realestate-with-django | 6abea13e49156ef4fba7a4918bd34dd54c07c3c4 | ff0ab708a36b058adf02632f3a5ec3db0b94703c | refs/heads/master | 2023-05-05T07:28:45.241477 | 2021-05-28T02:38:36 | 2021-05-28T02:38:36 | 347,839,604 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 232 | py | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.index, name='listings'),
path('<int:listings_id>', views.listing, name='listing'),
path('search', views.search, name='search' ),
] | [
"zohaibk1111@gmail.com"
] | zohaibk1111@gmail.com |
c721a92ac5444111678c7fa54101abe580bfdaa5 | d4cd0a2c56c697bf7637ac8941d694eb515dce96 | /CTDLGT_Python/bt12_cài_đặt_đồ_thị_vô_hướng.py | 0d9839adbc3724a3e61301d0eeea656835c57726 | [] | no_license | ldthinh220802/THI_CTDLGT | d456796321d9377201916e84211f8f9ae255406e | 2c1c6865a9d5d59b83d983de46289323ecbb75b7 | refs/heads/main | 2023-06-25T15:53:38.180421 | 2021-07-19T06:21:27 | 2021-07-19T06:21:27 | 384,970,288 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 931 | py | # -*- coding: utf-8 -*-
"""BT12. Cài đặt đồ thị vô hướng
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/github/ldthinh220802/cau_truc_du_lieu_va_giai_thuat/blob/main/BT12_C%C3%A0i_%C4%91%E1%BA%B7t_%C4%91%E1%BB%93_th%E1%BB%8B_v%C3%B4_h%C6%B0%E1%BB%9Bng.ipynb
... | [
"noreply@github.com"
] | noreply@github.com |
cad9054648026ec7176604a02079681b1fb1d29b | 0e1bfd89a58f679490a7bc03c113bd37b4cb3ec0 | /SVAGP/kernels.py | 32c351e0503f025993845fc7a605ea9896a72c2b | [
"Apache-2.0"
] | permissive | UCL/SVAGP | 8014f47954ea7d2c210c8fd9a73cc459d0433c74 | d8a9d9d4b87f317ef9b3c74aa39a2b30a488ab35 | refs/heads/master | 2021-01-23T10:35:53.170429 | 2017-06-01T17:14:24 | 2017-06-01T17:14:24 | 93,076,432 | 7 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,921 | py | # Copyright 2016 James Hensman, alexggmatthews
#
# 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 agreed t... | [
"vincent.adam87@gmail.com"
] | vincent.adam87@gmail.com |
3d5e6311fe9aa6c00f6660d25bea7056cf7cb256 | e48e655f69466f8a4a1bff0cf2f51d7f4fe48065 | /venv/Scripts/pip3-script.py | bb18517866e77e527bae5f4fec198eac2aec8783 | [] | no_license | Panoramikes/Lista2 | 38f6d364a0ece07d432a04078dc9d079552fca83 | 752b5bf32282ef2aa9af3765c2770273c0535b2e | refs/heads/master | 2020-04-30T12:09:27.352950 | 2019-03-20T21:29:57 | 2019-03-20T21:29:57 | 176,819,599 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 412 | py | #!C:\Users\panor\PycharmProjects\Lista2\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3'
__requires__ = 'pip==10.0.1'
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... | [
"panoramikes@gmail.com"
] | panoramikes@gmail.com |
7888c84676fc0e2cc852fcbafaf9c206231c3e44 | 04f2b23dc29b024711b297104eb57e8b7943ac28 | /dmdashboard/migrations/0006_auto_20170615_2130.py | 99c42c4fd3c2b250b02a890b2c808fef51245575 | [] | no_license | acaggiano/dmtools | 9e6e2609ae7e63369c4339b43bf17225c49f51db | e0969955ccdc0a45ff18bfe7ddca79283b408c65 | refs/heads/master | 2022-12-16T03:02:43.734781 | 2019-07-11T18:36:00 | 2019-07-11T18:36:00 | 94,246,208 | 1 | 0 | null | 2022-12-08T05:18:47 | 2017-06-13T18:44:51 | JavaScript | UTF-8 | Python | false | false | 697 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-06-16 01:30
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('dmdashboard', '0005_auto_20170615_2122'),
]
operations = [
migrations.Alter... | [
"onaiggaca@gmail.com"
] | onaiggaca@gmail.com |
cd5fc1a0531d8ded0b2c72c3befd66f483a78b86 | f0151c7e52ac2c88e9bdf74767f1f1727f6789d0 | /pieces.py | 6b2894e5936438d720a7e3afc081530fb70187d7 | [] | no_license | lyulka/NFTSOI-Chess-Engine | fcb7e3e37e7d8d79456c9c1b0a84f6d1c49dddb2 | c566f1e64a210ae67635107b3cd273fa9aba04cc | refs/heads/main | 2023-01-23T10:21:08.646569 | 2020-11-28T19:38:16 | 2020-11-28T19:38:16 | 316,014,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,422 | py | from move import Move
from coord import Coord
class Empty:
def __str__(self):
return u'\u25c7'
class Piece:
def __init__(self, color):
self.color = color
def is_enemy(self, other: 'Piece'):
if type(other) == Empty:
return False
return self.color != other.color
def is_friend(self, othe... | [
"strelka@connect.hku.hk"
] | strelka@connect.hku.hk |
0b2eda8e021bc7530e43f336462b37a03d23ece8 | 604d1065eb2f098a4873fd9470cc7850d5bde86a | /datet.py | f8b4297fa2705d8337f2755419924f8bd3c5cf1b | [] | no_license | rjayajadhav/Python-code | a05117a339b3b8591141374aa061700109de4577 | c734fa83696779c9eb2a893b593813369eb84e10 | refs/heads/main | 2023-07-15T11:27:16.997616 | 2021-08-28T16:12:42 | 2021-08-28T16:12:42 | 392,303,401 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 274 | py | import json
# some JSON:
x = '{ "name":"John", "age":30, "city":"New York"}'
z = '{ "name":"Jaya", "age":35, "city":"Pune"}'
# parse x:
y = json.loads(x)
n= json.loads(z)
# the result is a Python dictionary:
print(y["age"])
print(y["city"])
print(n["age"]) | [
"noreply@github.com"
] | noreply@github.com |
8ac0480670678ce2f641aae18ee7719838e5f722 | d30c6d691a34fc9181fb71e9712b9505384422ec | /数字,日期和时间/分数的计算_P96.py | be37c7b9b724074146f45662cb34e480751597bf | [] | no_license | shishengjia/PythonDemos | cef474eb01ee9541ba0c70fc0750ee48a025f42f | c0a857b1cacdbb2b6b727a84f95f93b6e86d60c2 | refs/heads/master | 2021-01-01T16:15:19.593635 | 2017-10-26T07:18:46 | 2017-10-26T07:18:46 | 97,797,104 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 328 | py | """
fractions模块
"""
from fractions import Fraction
a = Fraction(1, 2)
b = Fraction(3, 4)
print(a + b) # 5/4
c = a + b
print(c.numerator) # 5 分子
print(c.denominator) # 4 分母
print(float(c)) # 1.25 转化为小数
print(c.limit_denominator(8))
x = 0.625
print(Fraction(*x.as_integer_ratio())) # 5/8 小数化分数
| [
"shishengjia1@live.com"
] | shishengjia1@live.com |
2185d6664cc16b654ee558a6645234eab7ea8521 | a3fdebd406a37da34561969f37ea7a5feb14f236 | /src/testMorphology.py | df8d5f39a001e32fe92548e49e0c52c0abdc1df0 | [] | no_license | nikifaets/pointsProcessing | e076976914f2dbd51fbb64fa57194b47a3c56f87 | 74f2422c9a2117fc40bad6650cf97110f3b29c40 | refs/heads/master | 2021-09-12T10:39:13.233534 | 2018-04-15T19:32:02 | 2018-04-15T19:32:02 | 107,880,295 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,599 | py | import cv2
import numpy as np
import extractor as ext
import findLines as fl
import laserFindPoints as lfp
import time
cap = cv2.VideoCapture(0)
cap.set(3,240)
cap.set(4,320)
projecting = False
while(True):
millis = int(round(time.time() * 1000))
ret, img = cap.read()
thresh,grayscale = lfp.threshImage(im... | [
"nikifaets11@gmail.com"
] | nikifaets11@gmail.com |
0b036f6d5d139798df7f73985ec061a219bf7a22 | fcfbe523bb3d7cb6d36822a7f01d0a59410972a0 | /7kyu/Help Bob count letters and digits.py | 41ea21297356a09afde2a2c545289164dced0a3f | [] | no_license | HighHopes/codewars | 6239803d5255a9ab81c50222b1b1bc9293bc2fd9 | 65bcda121ec09d6d141cdf682ed17d223a0eee4e | refs/heads/master | 2020-04-28T19:21:47.217399 | 2020-03-11T17:25:33 | 2020-03-11T17:25:33 | 175,502,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 354 | py | """Bob is a lazy man.
He needs you to create a method that can determine how many letters and digits are in a given string.
example:
"hel2!lo" --> 6
"wicked .. !" --> 6"""
import re
def count_letters_and_digits(s):
if s == None: return 0
return len(re.findall("[a-zA-Z0-9]", str(s)))
print(count_letters... | [
"oprisaalin@gmail.com"
] | oprisaalin@gmail.com |
f0532a41a963e81aeff001bdd8f8af1e6ba68351 | d7be95f0099bc32bf6fd45589fda8dd7b1b0337f | /mysite/urls.py | 34d5b8ae8dd9e842f55e6be355e7d438682581ce | [] | no_license | Rafael-Wassoaski/projetoProntodePPi | 5c3df7b53ea51ed63f3b5d558a3e414ab8f23e0c | e73618e2d3ec761a7964523d6a552e1a7cbd5947 | refs/heads/master | 2022-11-27T17:41:13.300843 | 2019-06-25T20:05:46 | 2019-06-25T20:05:46 | 193,741,206 | 0 | 0 | null | 2022-11-22T02:23:52 | 2019-06-25T16:05:39 | Python | UTF-8 | Python | false | false | 1,296 | py | """mysite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | [
"meireles200@hotmail.com"
] | meireles200@hotmail.com |
07b373d67b8a0825866ba2663627a162bf88e47e | abb94cfc69c7d83842fd4213d0ce16b33c8e9a3d | /venv/Scripts/easy_install-3.7-script.py | cc213bc4edb9eaa8697344a69f26ff68584ab052 | [] | no_license | TigranMelkonian/PersonalWebPage | 5bc93ee7e17aa496ac1c84fd5f12a92fd05f9148 | d975fba7dc1f665836bd3b19572862719e60099d | refs/heads/master | 2020-09-17T07:52:17.410856 | 2019-11-25T21:26:37 | 2019-11-25T21:26:37 | 224,039,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | #!C:\Users\pete\PycharmProjects\MyFirstPythonWebApp\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install-3.7'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-... | [
"tigran@spotted.us"
] | tigran@spotted.us |
222904f660559d82269ebc7563fc3be1f7d00b69 | 9e0f5fac5711e69477770deb30dbaa53e8a5b961 | /example.py | ffc8c0c13b85f4c356e40945cbce0754de887eb8 | [
"MIT"
] | permissive | qerty123/Vector | b462813f106e4e2c0a888e2c980dded442c3e2cb | 9f065d34b0aa8f4a0ffb6c85c32ed941009c3960 | refs/heads/master | 2020-12-11T12:45:59.747431 | 2020-02-08T09:51:19 | 2020-02-08T09:51:19 | 233,853,963 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 570 | py | # Copyright (c) 2020 Kapitonov Stanislav <delphi.troll@mail.ru>
from vector import Vector2d, Vector3d
v1 = Vector3d(3, -1, 2)
v2 = Vector3d(-1, 2, 1)
v3 = Vector3d(0, -2, 1)
v4 = Vector3d(-1, 1, 3)
dif = v3 - v4
# Find projection of vector v3 - v4 for vector v2
pr = dif.project(v2)
print('Projection of vector v3 - v... | [
"delphi.troll@mail.ru"
] | delphi.troll@mail.ru |
0ce4d0fdfbcbdcb08fd020f84fdb01abca1796f9 | 42685605f569e9d0afadc358ace6ce212e86bf1c | /1_Zadania/Dzien_3/5_Virtualenv_biblioteki/ddd.py | 63411dd73ff18565b3727122a9f9e1681374153c | [] | no_license | Danutelka/Coderslab-Podstawy-Python | e6bdbbd9dc2031cf9ec5d9d3eeba717d22e9ecd7 | eed6a957f081e488ae3c94298718f7b93e17a93c | refs/heads/master | 2020-08-04T15:21:28.058433 | 2019-04-07T19:24:54 | 2019-04-07T19:24:54 | 212,181,477 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62 | py | import requests
r = requests.get("http://onet.pl")
print(r)
| [
"kawecka.d@gmail.com"
] | kawecka.d@gmail.com |
ba5b5c54db62dfe9833b5715954dced8bc4760f2 | ad53e0cb71d59c1a6708c84cbb5e712c2c695fa9 | /weblog/app/models.py | a1da6f3223631c7b533278a246c784ec1a87915b | [] | no_license | lyn233/DOBlog | 304e1d030c2f05d94753584954321775ee4be764 | 2c827c0363d86dcb04c82f7bd9ae43da9a60fea9 | refs/heads/master | 2021-01-10T07:41:48.801034 | 2017-12-07T05:59:58 | 2017-12-07T05:59:58 | 45,041,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,356 | py | # -*- coding:utf-8 -*-
from weblog.app import db
from flask_login import UserMixin
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from werkzeug.security import generate_password_hash, check_password_hash
from flask import current_app,url_for
import bleach
from markdown import markdown
fr... | [
"daiguanlin@126.com"
] | daiguanlin@126.com |
1060e48d0bb83bb3216ccdf445a1b5b2cea8077e | 303b3e0447e66c22471d82395ec1302ba6622a92 | /python/query-stub.py | 1dc5ac8bc7597200fd71af77e2354c39e42a126c | [] | no_license | shuque/getdns-examples | b83b2feaab9fa7cb58033184b40be9f7b2091281 | 735c4a356f13ece075b27112d54caf1af8359452 | refs/heads/master | 2021-01-10T03:16:30.982938 | 2016-02-01T18:09:28 | 2016-02-01T18:09:28 | 47,571,878 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 518 | py | #!/usr/bin/env python
import getdns, sys
hostname = sys.argv[1]
ctx = getdns.Context()
ctx.resolution_type = getdns.RESOLUTION_STUB
extensions = {}
results = ctx.address(name=hostname, extensions=extensions)
if results.status == getdns.RESPSTATUS_GOOD:
for addr in results.just_address_answers:
print(ad... | [
"shuque@gmail.com"
] | shuque@gmail.com |
d8b44b3e7c654ab09fe42ab83ec0937b19133d4d | cabc3bcc0f6fedc7e8f2cd011892e43f1fb80a92 | /CustomErrors.py | ecfb6c9725bb7bb3f8dbe91be0e6e30e94c76627 | [] | no_license | nikist97/CodingChallenge | a3c87d33bab1b8d2fd4f46cdfeda78bffedbcfd7 | db26c2473d8478386a6625b88b17cd2648a94131 | refs/heads/master | 2021-08-11T13:09:30.049882 | 2017-11-13T19:07:01 | 2017-11-13T19:07:01 | 110,493,182 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,213 | py | class InvalidPriceError(ValueError):
"""
a custom type of error raised when there is an invalid price for a ticket, e.g. negative number for price
"""
def __init__(self, msg):
"""
the constructor for the error calls the parent's (ValueError) constructor
:param msg: the msg of th... | [
"nikist97@abv.bg"
] | nikist97@abv.bg |
6506ce4fe77bbd8e8505bbda7a0e1ca97a15f9a8 | 4fe825814efae31cc777295f1d3e059dfbdedbfe | /train.py | d1a22ea06b036799cae0457e12673be7701ef5e4 | [] | no_license | gokulpch/gender-estimation-model | 045b292956a36e35c1a30f42d7d5571cad77c688 | aadbe6ff8765cada9bc3b68d3acef181c1935ffc | refs/heads/master | 2020-06-10T12:28:50.789389 | 2019-06-25T06:11:37 | 2019-06-25T06:11:37 | 193,645,374 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,268 | py | # import necessary packages
import matplotlib
matplotlib.use("Agg")
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import Adam
from keras.preprocessing.image import img_to_array
from keras.utils import to_categorical
from keras.utils import plot_model
from sklearn.model_selection import ... | [
"gpurnach@cisco.com"
] | gpurnach@cisco.com |
d34d3f80e71ecef1c4524423b84ab098accdcfb4 | e6b5790c886f651e142260571fe0d20eb5629f48 | /datacamp/statistical-thinking-python/01_02_variance_and_std.py | c142b338bdf8399336cf420c9598677de42670c9 | [] | no_license | anderalex803/nuwara-online-courses | 23dda7997a7659ca32dd0d82a571ec609c0dff0c | 12ff31f5f88b0632319025eabb13aad375534590 | refs/heads/master | 2022-12-18T10:24:17.510602 | 2020-09-09T15:07:41 | 2020-09-09T15:07:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 723 | py | " Compute variance step-by-step and using build-in function np.var"
# Array of differences to mean: differences
differences = versicolor_petal_length - np.mean(versicolor_petal_length)
# Square the differences: diff_sq
diff_sq = differences**2
# Compute the mean square difference: variance_explicit
variance_explicit... | [
"noreply@github.com"
] | noreply@github.com |
4941b887741964e84f7b9663a1aee8aac7b087db | ed3c56e4d78142c4bc73a90fbc32d7ee48747fe0 | /chainerV2による実践深層学習/test-mt.py | cb5d2d94e6e6900ee29fc92ee0ef45e6ae859db5 | [] | no_license | johne-numata/chainertest | 6ca2332778f35f826a160125e08c922dd26293b2 | c05cdcf0f13dcc75890258290404af35ce18ac0c | refs/heads/master | 2021-04-15T05:51:01.745898 | 2018-08-17T04:29:11 | 2018-08-17T04:29:11 | 126,454,662 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,115 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
import chainer
from chainer import cuda, Function, Variable, optimizers, serializers, utils
from chainer import Link, Chain, ChainList
import chainer.functions as F
import chainer.links as L
jvocab = {}
jlines = open('jp.txt').read().split('\n')
for i in ra... | [
"hideo.numata@toshiba.co.jp"
] | hideo.numata@toshiba.co.jp |
82d22436bd0102102ac1d19ba37f0005304c2064 | 3ba314ca88e89dded85a3448e730e215c47f3ceb | /allSkyImagingModule/skyImaging/rfiPlotter.py | 38081ce03fd7f192a1d9ce79da8cfc9a93ddbbf7 | [] | no_license | David-McKenna/allSkyImaging | 9f3dc5984541a6d39617dd5fd583654d0901d685 | e20a4bb48cca7814c32326177c121e149664764c | refs/heads/master | 2021-07-06T11:28:58.345222 | 2019-02-06T13:21:06 | 2019-02-06T13:21:06 | 166,459,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,970 | py | """RFI Interative plot handlers.
Originally ported to Python by Joe McCauley, slightly modified for this module. The source contained the following header:
@author: Joe McCauley (joe.mccauley@tcd.ie)
Written for Python 2.7
Based on a translated matlab script originally from ASTRON for processing
xst data from an int... | [
"mckennd2@tcd.ie"
] | mckennd2@tcd.ie |
a211852f23f82de502629246d40e8e38a13b64de | 96fe253e9a740b51dcd7f83d6ab01bb248c2bf4b | /patrones_arquitectura/DDD/value_object/prueba_cuenta_bancaria.py | 013e69c83e8ab92979a1390c08af8ed518910598 | [] | no_license | vvalotto/Patrones_Disenio_Python | 7574470752a5f14214434a927c2c5e0faaa592ba | 7ab6a74e9b008c3434af0a56d4c2b6b7de3617bf | refs/heads/master | 2021-04-28T19:16:21.535998 | 2018-10-21T14:05:36 | 2018-10-21T14:05:36 | 121,891,812 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | from DDD.value_object.cuenta_bancaria import *
mi_dinero = Dinero(100, Moneda.Pesos)
print(mi_dinero.moneda)
print(mi_dinero.monto)
mi_cuenta = CuentaBancaria(1, mi_dinero)
print(mi_cuenta.balance.monto)
print(mi_cuenta.balance.moneda) | [
"vvalotto@gmail.com"
] | vvalotto@gmail.com |
c5e700d40f7b620b11f50fed1069337c0eda7ee2 | 07eb32060101b438934954d6f705305d54296380 | /sorts.py | 856dc7ab65436defd4947e49211a0610e84b7e39 | [] | no_license | pragmaticarun/algo_n_datastructures | e6742c48bbba22b2b1d2db52862c77d9c60566fc | bb359afb77df957dddfac9b476094e9ecb39e50e | refs/heads/master | 2020-08-11T14:45:40.477662 | 2020-02-02T14:27:50 | 2020-02-02T14:27:50 | 214,582,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,539 | py | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
a = [4,9,1,-1,3,22,11,18]
for i in range(len(a)):
for j in range(i,0,-1):
if a[j] < a[j-1]:
a[j-1],a[j] = a[j],a[j-1]
else:
break
#print(a)
b = [90,75,42,1,3,22,27,65... | [
"pragmaticarun@gmail.com"
] | pragmaticarun@gmail.com |
db55e22cfc6843e012dc04ca9c723fc8cb0b1c89 | 418e7f374c0b344cc8eb988eefda6e2a6e910251 | /iss-rnns/ptb/ptb_word_lm.py | 0dad35ef3346aaa52b21fd3f8d8656e4afabd589 | [
"Apache-2.0"
] | permissive | feiyuhug/SHS_LSTM | 9e66d009ddb298d40df9f6704e9b410f1cc128f7 | 230888785c8c06733cac7649a162b505ea6bdc2c | refs/heads/master | 2020-05-29T23:27:27.820331 | 2019-05-30T15:31:40 | 2019-05-30T15:31:40 | 189,436,064 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 31,327 | py | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"yuniange@gmail.com"
] | yuniange@gmail.com |
987b92e6df6ed00e5ca4fb6ce748e467405a8347 | f4434c85e3814b6347f8f8099c081ed4af5678a5 | /sdk/iothub/azure-mgmt-iothub/azure/mgmt/iothub/v2019_03_22/aio/operations/_certificates_operations.py | 4fdc763e3e5033ecae73c8337024f88ac2e80684 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | yunhaoling/azure-sdk-for-python | 5da12a174a37672ac6ed8e3c1f863cb77010a506 | c4eb0ca1aadb76ad892114230473034830116362 | refs/heads/master | 2022-06-11T01:17:39.636461 | 2020-12-08T17:42:08 | 2020-12-08T17:42:08 | 177,675,796 | 1 | 0 | MIT | 2020-03-31T20:35:17 | 2019-03-25T22:43:40 | Python | UTF-8 | Python | false | false | 23,167 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
"noreply@github.com"
] | noreply@github.com |
8dff565e4a3145736f3847daf00e0a91801c7e21 | a4275e529b564c3ec5c084fb360c2f4207068477 | /src/montague/validation.py | 9a20e422a8c17d2122978e27db86e67d8d0db92f | [
"MIT"
] | permissive | rmoorman/montague | aacc11837016400e37b69e18b2461a3246c2052c | 423a2a5a773e975fa27f7b61627cc706fb084984 | refs/heads/master | 2020-12-29T01:41:17.262828 | 2015-06-18T00:46:45 | 2015-06-18T00:46:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,702 | py | from __future__ import absolute_import
import collections
import types
def validate_montague_standard_format(config):
for key in ('globals', 'application', 'composite', 'filter', 'server', 'logging'):
assert key in config
assert isinstance(config[key], collections.Mapping)
def validate_config_l... | [
"jon@inklesspen.com"
] | jon@inklesspen.com |
7c378f7c5a01b084095dc622f0eca72997914d5e | b3b3ac6bef90834d3c02858b243afc84a30f35ab | /api/migrations/0003_container_prev_art.py | b71622eb2aef9f4cb99810b841bd3e3859fba695 | [
"MIT"
] | permissive | sinofeng/edgy-controller | ce17eff41a75e099260d58e5c2fe5f685fb1d197 | 140bf952fcc43bbba344f169c782132d500e1343 | refs/heads/master | 2023-07-25T00:18:31.879146 | 2020-12-31T10:45:42 | 2020-12-31T10:45:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 483 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-04-24 14:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0002_auto_20180424_1428'),
]
operations = [
migrations.AddField(
... | [
"avgeris.marios@gmail.com"
] | avgeris.marios@gmail.com |
a1b6fb392741e41deadbff3e6f9ad7e1f8c4f790 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/63/usersdata/158/31530/submittedfiles/swamee.py | 2c5e1ac2906cab6729e807c9e54f3c38de172e65 | [] | 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 | 396 | py | # -*- coding: utf-8 -*-
import math
f=float(input('digite f:'))
L=float(input('digite L:'))
Q=float(input('digite Q:'))
deltaH=float(input('digite deltaH:'))
v=float(input('digite v:'))
g=9.81
E=0.000002
D=((8*f*L*(Q)**2)/((math.pi)**2*g*deltaH))**1/5
print('D é:%.4f'%D)
Rey=(4*Q)/(math.pi*D*v)
print('Rey é:%.4f'%Rey)
... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
fca6944ac17fdb848882685b614c20e6f19803df | fb594bf2cd33157a1d1d486e25c8014d6463fe9b | /project-1/expriments/plot-hidden-num.py | c3c6e7a2d5a09c0a704fe067d167cd044bdddd80 | [] | no_license | ShirleyHan6/CZ4042-Assignments | 6469d2977b07302c5496eb9f83b360e6e5f06500 | 915b2e53008575741627333103bafbef1a91d600 | refs/heads/master | 2020-08-14T00:01:36.843411 | 2019-11-16T05:57:25 | 2019-11-16T05:57:25 | 215,060,266 | 0 | 2 | null | 2019-11-16T05:57:27 | 2019-10-14T14:05:58 | Python | UTF-8 | Python | false | false | 489 | py | import pickle
from utils.utils import plot_batched_accuracies, plot_train_val_accuracies
with open('val-accs-hidden-num.pickle', 'rb') as f:
val_accs_dict: dict = pickle.load(f)
with open('train-accs-opt-hidden-num.pickle', 'rb') as f:
train_accs: list = pickle.load(f)
with open('val-accs-opt-hidden-num.pickl... | [
"yli056@e.ntu.edu.sg"
] | yli056@e.ntu.edu.sg |
a09754bd46ba1e705aa2818cb0065461ffc04a4b | 77088306e65adb0ae131b51a9c6acf799ec669bc | /train.py | 922a433af50334f9d448a3c2ec1397361f4ddead | [] | no_license | NeerajTulsani/ChatBot | 452285c979957c3788684956b796b85351e1a835 | 0db1f6c908d032ee15f2abf013af55ce4f78b5d4 | refs/heads/main | 2023-04-26T23:35:51.674944 | 2021-05-25T05:13:00 | 2021-05-25T05:13:00 | 328,322,624 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,561 | py | import numpy as np
import json
import torch
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from nltk_utils import bag_of_words, tokenize, lem
from model import NeuralNet
with open('intents.json', 'r') as f:
intents = json.load(f)
all_words = []
tags = []
ab = []
for intent in intents['i... | [
"noreply@github.com"
] | noreply@github.com |
434f569b0c237c070439c7b30b69de0e7e04c549 | 21f3162b80f5edd4e0be3f5bee04142f397b8e26 | /tutorial/tutorial/spiders/img_spider.py | 65a56601eecaf68bc2181c23e7cc2941f24fdb37 | [] | no_license | jiangbingo/scrapy-house | e599e02f2e42d598d3bce1e052d55d68211b9379 | 533e98a56a5c869f45928ded512b0a12f4894965 | refs/heads/master | 2020-04-09T17:32:50.701832 | 2016-12-01T14:25:23 | 2016-12-01T14:25:23 | 67,988,718 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,865 | py | #!-*-coding:utf-8-*-
__author__ = 'PD-002'
import os
import json
import scrapy
from hashlib import md5
from tutorial.items import DmozItem, TestItem
class DmozSpider(scrapy.Spider):
"""
for test
"""
name = "img"
allowed_domains = ["img.org"]
start_urls = ["http://newhouse.... | [
"jiangbingo@hotmail.com"
] | jiangbingo@hotmail.com |
501ed856db70e2877ac34046453bf4981788b2b1 | 4c6c1e729e5d9ae2908ee2d580d91c60fc6b76ff | /accounts/urls.py | dafa5bc491d2bf87f8b6421b49992da951d61faa | [] | no_license | vcrl/P13 | 6e098733bdd06a2c0a97835570d314ba9e758587 | 365c973a07326b71bf5ef9d16cbb9770edcfd415 | refs/heads/master | 2023-06-17T06:37:33.381796 | 2021-07-16T13:37:33 | 2021-07-16T13:37:33 | 364,944,840 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 377 | py | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('signup/', views.signup, name="signup"),
path('signout/', views.signout, name="signout"),
path('signin/', views.loginuser, name="loginuser"),
path('profile/', views.displayprofile, name="profile"),
... | [
"vruel@pm.me"
] | vruel@pm.me |
b0e19c15084f07ee5e146abca8e1ab776d778910 | 57e8a41e63af3ef94001c03f07beacf39e340f0d | /cse_udub/cse_415_AI/hw3/ui.py | ae82ccb2a4d1982121f085a48ddff517f32e6a15 | [] | no_license | zhy9036/cs_2016_fall | 0e5f9f1f84777729b1761675cfb27086269c2358 | c35c0cf64038dda3888e48ca63e92c67dc9ad346 | refs/heads/master | 2020-04-10T03:55:45.688046 | 2018-02-17T19:26:49 | 2018-02-17T19:26:49 | 68,164,378 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,911 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'all.ui'
#
# Created: Sat Apr 26 22:09:41 2014
# by: PyQt4 UI code generator 4.10.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeE... | [
"zhangyang9036@gmail.com"
] | zhangyang9036@gmail.com |
185d7e4291d29d014020b6b40ebfb2d8398b5f8c | cf444d07d8056416dfba34e73bba128567b7c692 | /readandloadperfpadbenchasof.py | fd9df58a4e0df4d295b906d84dace758c8374d5d | [] | no_license | rtstock/scriptsvapp01 | cf9e993e5253e9a60dc191cca5e34532fa559ee1 | 7c2db888f0dcd92de62c031f9867e1c5cb4cbc0e | refs/heads/master | 2021-01-23T00:29:11.267852 | 2017-03-21T19:24:34 | 2017-03-21T19:24:34 | 85,737,024 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,756 | py | import ftplib
class perform:
#def __init__(self):
# print 'class initialized...'
# #self.DataFilePathName = []
# #self.BuildFilepaths()
def __init__(self,p_datafilepathname):
print 'initialized readandloadperfpadbenchasof.py'
self.DataFilePathName = p_datafilep... | [
"noreply@github.com"
] | noreply@github.com |
553ab201ccf7e1ce364dc3f6956d2b9849fcd972 | b341adbf938239c37c7c2cfe1c295ad1396d339b | /week06/geojson_worked_example.py | 562600cf296ecf90f15138f9bdce5102d79e63d1 | [] | no_license | sunda-y/UsingPythontoAccessWebData | c84025f1b724a2c10a5932c9a574ddde0079715f | 964deed29b531a8a5a79f24d234ae5329b25dd44 | refs/heads/master | 2021-01-24T08:11:54.277570 | 2018-03-04T15:37:27 | 2018-03-04T15:37:27 | 122,972,524 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 951 | py | import urllib.request, urllib.parse, urllib.error
import json
serviceurl = "http://maps.googleapis.com/maps/api/geocode/json?"
while True:
address = input("Please enter location: ")
if (len(address) < 1):
break
url = serviceurl + urllib.parse.urlencode(
{"address": address}
)
... | [
"SundaySunxiran@gmail.com"
] | SundaySunxiran@gmail.com |
a1f08199e9d65120982277c5b73430048437c363 | e751c59ca3c98c8f6a98b7c6fc7167fe615aa1b0 | /streamz/orderedweakset.py | 82136ecdea1138314b8cd2277154f13f468712af | [
"BSD-3-Clause"
] | permissive | yutiansut/streamz | a10e0d2beefd450b5d19cb7d78b4c8a333ebcd48 | e51f0397d27957f8b3bfc78ecdb946cbfbac21b6 | refs/heads/master | 2020-07-10T15:23:35.567092 | 2019-12-24T07:07:43 | 2019-12-24T07:07:43 | 204,297,562 | 1 | 0 | NOASSERTION | 2019-12-24T07:07:44 | 2019-08-25T13:24:35 | Python | UTF-8 | Python | false | false | 977 | py | # -*- coding: utf8 -*-
# This is a copy from Stack Overflow
# https://stackoverflow.com/questions/7828444/indexable-weak-ordered-set-in-python
# Asked by Neil G https://stackoverflow.com/users/99989/neil-g
# Answered/edited by https://stackoverflow.com/users/1001643/raymond-hettinger
import collections
import weakref
... | [
"mrocklin@gmail.com"
] | mrocklin@gmail.com |
04a6fc2e76234c2cc09fd5a634d68cf9561700ee | 9cd8c0e01d6197c77b15d24ea46be2c4c5ea2e73 | /src/justchat/urls.py | 0b81a21cf0a8ec353944f20feceae33376d0644b | [
"MIT"
] | permissive | vaibhav0000patel/Chat-Application-Django-Channels | 6a0ecfb7b80505ed452ac2e8336aa2d3adbcf72d | 7470ecf8e22951e72081d344d8123e768a75b0b0 | refs/heads/main | 2023-03-06T20:13:15.323707 | 2021-02-23T14:08:17 | 2021-02-23T14:08:17 | 341,572,031 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | from django.contrib import admin
from django.urls import path,include
urlpatterns = [
path('admin/', admin.site.urls),
path('chat/', include('chat.urls',namespace='chat')),
]
| [
"vaibhav0000patel@gmail.com"
] | vaibhav0000patel@gmail.com |
275a0a4f256f1d54872f57ef1f6b4f51287f4070 | 38a868d3a4605e32739efe49343642c1bb84d924 | /data_loader/unet_data_loader.py | 4e69011b1a973a87589d5655d3b556dc71b29f19 | [] | no_license | ferraric/Semantic-Segmentation-of-Histopathological-Slides | c505c7f9e0710f04f23b50b0a3d563c979e1bef6 | 5461ec858c875f1e5463193466c82c48358cba9c | refs/heads/master | 2023-07-03T15:33:56.048279 | 2021-07-30T11:18:13 | 2021-07-30T11:18:13 | 391,037,842 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,264 | py | import tensorflow as tf
import os
import math
import numpy as np
from PIL import Image
AUTOTUNE = tf.data.experimental.AUTOTUNE
class UnetDataLoader:
def __init__(self, config, validation=False, preprocessing=None, use_image_augmentations=False):
self.use_image_augmentations = use_image_augmentations
... | [
"ferraric@student.ethz.ch"
] | ferraric@student.ethz.ch |
8efe16a04e801c369c14cae73a57768ce018fca8 | 7ada9e1ede668f402ae9598bc1e5c3caa17658d5 | /app.py | 8a289bef4395897b72277d2ebdd8646b27963cf4 | [] | no_license | nikolaskarta/Information_Systems_Project1 | a2db2e838a824c2b0b62a340a782bd20b9ba9c5c | d6f325c73af0a3b835827da07ed78941bd36e100 | refs/heads/main | 2023-05-05T09:14:22.117293 | 2021-05-16T20:43:26 | 2021-05-16T20:43:26 | 367,971,791 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,748 | py | from pymongo import MongoClient
from pymongo.errors import DuplicateKeyError
from flask import Flask, request, jsonify, redirect, Response
import json
from bson import json_util
import uuid
import time
# Connect to our local MongoDB
client = MongoClient('mongodb://localhost:27017/')
# Choose database
db =... | [
"noreply@github.com"
] | noreply@github.com |
ffc7cf8cd00d31e3bf1693cd8ac482e0f6bdc78e | 7dab00e63b7193010344a0f05e0cc641d7091f5f | /students/Zhengtang_Yang/lesson07/Activity/populate_job.py | b7cce248e766d043f66bf5f3457c618ce6bd910c | [] | no_license | aurel1212/Sp2018-Online | 9307e872c14c5ddd795bdc738b325de087895d55 | 263685ca90110609bfd05d621516727f8cd0028f | refs/heads/master | 2020-04-05T18:35:49.761140 | 2018-06-19T18:24:27 | 2018-06-19T18:24:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,124 | py | """
Learning persistence with Peewee and sqlite
delete the database file to start over
(but running this program does not require it)
populate the DB with data
"""
from peewee import *
from v00_personjob_model import Person, Job, Department
import logging
def populate_db():
"""
... | [
"zyang888@uw.edu"
] | zyang888@uw.edu |
912732738030d84355aa57768facc7293bf43a88 | 187a6558f3c7cb6234164677a2bda2e73c26eaaf | /jdcloud_sdk/services/clouddnsservice/models/HostRRlb.py | a70c1c23618e54df92e3c0396719c63ee09311d7 | [
"Apache-2.0"
] | permissive | jdcloud-api/jdcloud-sdk-python | 4d2db584acc2620b7a866af82d21658cdd7cc227 | 3d1c50ed9117304d3b77a21babe899f939ae91cd | refs/heads/master | 2023-09-04T02:51:08.335168 | 2023-08-30T12:00:25 | 2023-08-30T12:00:25 | 126,276,169 | 18 | 36 | Apache-2.0 | 2023-09-07T06:54:49 | 2018-03-22T03:47:02 | Python | UTF-8 | Python | false | false | 1,141 | py | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# 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 agreed ... | [
"oulinbao@jd.com"
] | oulinbao@jd.com |
4599ace703ad37d50d4e3e1ee36e57491d12aebf | 6b5b3396ebf5c1af4f6f14cbeb03fc9bc4570a23 | /www/Webserver.py | f703d55dccf3102a6d3ac6083df3373cec870017 | [
"CC-BY-3.0",
"OFL-1.1",
"MIT"
] | permissive | william-stearns/E_ink_dashboard | 0f5b03ec2da1a54a5941a35f2b957b7e3d62abb0 | 1625b213baef336833497c4593157485cfffdad4 | refs/heads/main | 2023-02-03T21:20:00.375604 | 2020-12-13T10:36:02 | 2020-12-13T10:36:02 | 323,455,960 | 0 | 0 | MIT | 2020-12-21T21:52:08 | 2020-12-21T21:52:07 | null | UTF-8 | Python | false | false | 9,334 | py | from flask import Flask, render_template, request
from dashboard_forms import Dashform
#import create_pickle as p_j
import json
import os
app = Flask(__name__)
app.secret_key = 'dash_flask_key'
creddir = os.path.join(os.path.dirname(
os.path.dirname(os.path.realpath(__file__))), 'credentials/dash_id.json'... | [
"noreply@github.com"
] | noreply@github.com |
308b48444a600edc33da2bb114ac11b915fe08b0 | 07009e377963302aaebb44861d1e96c4de359b7c | /maio/management/commands/maio_getimages.py | cb4597b04599b7b0001a3706b628a8d80a9e8bc4 | [
"MIT"
] | permissive | jonmsawyer/maio_old | 3489307ecb02b54317ec7e88554b0acb973434ec | 3670d0fe2a4e9173ac3d02fe7b629f563e935894 | refs/heads/master | 2021-06-21T09:00:18.703397 | 2017-07-08T20:54:06 | 2017-07-08T20:54:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,306 | py | import os
import sys
import hashlib
import magic
from PIL import Image
from django.core.management.base import CommandError
import django.db.utils
from maio_core.models import File
from maio.management.commands._base import MaioBaseCommand
class Command(MaioBaseCommand):
args = '<None>'
help = 'Generates a ... | [
"jon@jonmsawyer.com"
] | jon@jonmsawyer.com |
226f2dde2e7f83c6d967dd639b88280ff249582c | 661c0a56baddaa344c9c06cfd70ad60e776efe41 | /textminer/extractor.py | 179f5e65114a098feb217ba40014a2dd301cf8de | [] | no_license | lancekrogers/textminer | c6426bb519ac3d46c3fd6ec2dc2ac9ffa30562f9 | 21a24dc17e06d90d8df4ae785c72cbdc2a768dd3 | refs/heads/master | 2021-01-14T08:51:09.045553 | 2015-07-22T20:09:36 | 2015-07-22T20:09:36 | 37,545,282 | 0 | 0 | null | 2015-06-16T17:29:19 | 2015-06-16T17:29:19 | null | UTF-8 | Python | false | false | 136 | py | import re
def phone_numbers(text):
return re.findall(r"\(\d{3}\).\d{3}.\d{4}", text)
# hard mode
def emails(text):
pass
| [
"lancekincaid1994@gmail.com"
] | lancekincaid1994@gmail.com |
58ecd20ff1982f1c16f54d7e4aab822e9e33c351 | b7a8cedcd7df9a70eda8432866bdbe8a33833dab | /Day 54 Web Dev/decorator.py | ca01adc8d724b84b07f1ce8739267057526e763c | [] | no_license | shidoken/100DaysofPython | 55bcd703382fa2ca875e428aee902652efaf4d27 | 3808560893dc7097d82fd59c545d647278415c8f | refs/heads/main | 2023-04-03T18:10:08.202986 | 2021-04-16T07:12:16 | 2021-04-16T07:12:16 | 329,128,523 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 910 | py | import time
def c_time():
current_time = time.time()
return current_time
def speed_calc_decorator(function):
def wrapper_function():
# Do something before
function()
function_name = function.__name__
time_1 = c_time()
function()
time_2 = c_time()
d... | [
"noreply@github.com"
] | noreply@github.com |
9daa5c6e9687c22774d2f1effd501abdaf003b84 | 2412ab2a7fdefe1d165a6ec63292fdbe965c5131 | /run_GOseq.py | 0cd6278fe2ee1279bbe8a15bc3b07ebb23156e13 | [] | no_license | cfc424/NGS | e7651d9cbd1309821f5251c3ab3c9c7ba9e19352 | a7fd0631adc7365d358e49f407e2ebe796163443 | refs/heads/master | 2023-03-21T14:36:05.877307 | 2019-11-13T01:09:13 | 2019-11-13T01:09:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,447 | py | #!/usr/bin/env perl
use strict;
use warnings;
use Getopt::Long qw(:config no_ignore_case bundling pass_through);
my $usage = <<__EOUSAGE__;
###############################################################################################
#
# --factor_labeling <string> tab delimited file with format: factor<ta... | [
"root@zinc.(none)"
] | root@zinc.(none) |
20b8d239d8fca159e12fc334016dc66ab721cc89 | d3092656c078cc461f7d80f74bfc51340be98bed | /KerasFuzzy/experiments/digit-recognizer-2.py | b2261336559d2aea92172341a6913acfdb491f0a | [] | no_license | kenoma/KerasFuzzy | d7beadfe770bf93c20a9b8f6f561b31b4e54fe94 | 679db95dc74af91175f811c0bf21af880213e2a4 | refs/heads/master | 2023-01-11T06:02:19.772627 | 2023-01-07T08:14:23 | 2023-01-07T08:14:23 | 126,618,152 | 21 | 5 | null | null | null | null | UTF-8 | Python | false | false | 13,144 | py | #%%
import sys
sys.path.insert(0, 'D:/projects/KerasFuzzy/KerasFuzzy/layers')
from fuzzy_layer_2 import FuzzyLayer2
from defuzzy_layer_2 import DefuzzyLayer2
from defuzzy_layer import DefuzzyLayer
import pandas as pd
import numpy as np
import datetime
import matplotlib.pyplot as plt
np.random.seed(2)
random_seed = 2
... | [
"bghati@yandex.ru"
] | bghati@yandex.ru |
3b3b4383ef951f3c0055d62bc0357e73dea7e020 | c85a766dca16877993cc4477e5da3c117851aa1d | /src/recaptcha/client/captcha.py | 7a54cbad28f130fe454ad497335e9b257cdf4ae8 | [] | no_license | iguzu/banian | 467ddebbb65126b3611dc9a7d4acf6a03c1d0287 | 9158d7036061400f262ddfa79210fe9f5710097a | refs/heads/master | 2021-05-28T10:53:07.819656 | 2010-03-09T03:55:24 | 2010-03-09T03:55:24 | 532,806 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,653 | py | import urllib
from google.appengine.api import urlfetch
"""
Adapted from http://pypi.python.org/pypi/recaptcha-client
to use with Google App Engine
by Joscha Feth <joscha@feth.com>
Version 0.1
"""
API_SSL_SERVER ="https://api-secure.recaptcha.net"
API_SERVER ="http://api.recaptcha.net"
VERIFY_SE... | [
"sbl@iguzu.com"
] | sbl@iguzu.com |
93111d9e9273607e9c92ad7799985e969cb48408 | e97434a363fc559d070ba7439abf07ee975e3415 | /IPL/pointstable/serializers.py | e86338f7da56852b5574166e3f0737de70b88165 | [] | no_license | vipulpathak113/iplbackend | 2c9311b5869018be9b4fc8e1c50f66d8d444e0f6 | 7be4c3cfe2c21ed4aef2634de0fbeb4a2e85142c | refs/heads/master | 2020-07-30T21:30:23.578815 | 2019-09-23T13:38:22 | 2019-09-23T13:38:22 | 210,364,946 | 0 | 1 | null | 2020-07-21T22:00:00 | 2019-09-23T13:40:32 | Python | UTF-8 | Python | false | false | 265 | py | from rest_framework import serializers
from .models import PointsTable
class TeamlistSerializer(serializers.ModelSerializer):
class Meta:
model = PointsTable
fields = ('id', 'team_name', 'played', 'won', 'lost', 'no_result', 'points', 'nrr')
| [
"vipulkumarpathak@ASDP1740PO02529.qait.com"
] | vipulkumarpathak@ASDP1740PO02529.qait.com |
b9c66f7ddec07dd1b3c1c83bccd25902d510d6a9 | d149fc886482603e0cb3c7788284e9de16cc6edd | /DecisionTree/studentMain.py | e478aded910070a35d93dd1d66ab7e69c31be287 | [] | no_license | lishengxu/ud120-sklearn | 12451eac1ad06ef0999980182ed7577db1c2e5bf | b831a944410a5e503255cba524499d87b1f9e820 | refs/heads/master | 2020-03-28T13:38:15.602433 | 2018-10-15T12:12:35 | 2018-10-15T12:12:35 | 148,413,023 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,239 | py | #!/usr/bin/python
""" lecture and example code for decision tree unit """
import sys
from class_vis import prettyPicture, output_image
from prep_terrain_data import makeTerrainData
import matplotlib.pyplot as plt
import numpy as np
import pylab as pl
from classifyDT import classify
features_train, labels_train, fea... | [
"lsx1@meitu.com"
] | lsx1@meitu.com |
afe7b68eebc859166be1c5e13503095b75df042c | 3527ff6346f98a5b7c51ce3c58428227f4bc8617 | /acwing/800.py | 3e10fbf147a1197999a55e116c697baa1c94510e | [] | no_license | ShawnDong98/Algorithm-Book | 48e2c1158d6e54d4652b0791749ba05a4b85f96d | f350b3d6e59fd5771e11ec0b466f9ba5eeb8e927 | refs/heads/master | 2022-07-17T04:09:39.559310 | 2022-07-13T15:46:37 | 2022-07-13T15:46:37 | 242,317,482 | 0 | 0 | null | 2020-10-11T14:50:48 | 2020-02-22T09:53:41 | C++ | UTF-8 | Python | false | false | 277 | py | n, m, x = map(int, input().split())
A = list(map(int, input().split()))
B = list(map(int, input().split()))
i = 0
j = m -1
while i< n:
while j >= 0 and A[i] + B[j] > x:
j -= 1
if j >= 0 and A[i] + B[j] == x:
print(f'{i} {j}')
break
i += 1
| [
"ShawnDong98@gmail.com"
] | ShawnDong98@gmail.com |
64a3215ec3906affa3702053fa372ce9684ba680 | 60a831fb3c92a9d2a2b52ff7f5a0f665d4692a24 | /IronPythonStubs/release/stubs.min/System/Windows/Media/Animation_parts/Timeline.py | fc7d6ac0df9229690da3777f143d98381abde625 | [
"MIT"
] | permissive | shnlmn/Rhino-Grasshopper-Scripts | a9411098c5d1bbc55feb782def565d535b27b709 | 0e43c3c1d09fb12cdbd86a3c4e2ba49982e0f823 | refs/heads/master | 2020-04-10T18:59:43.518140 | 2020-04-08T02:49:07 | 2020-04-08T02:49:07 | 161,219,695 | 11 | 2 | null | null | null | null | UTF-8 | Python | false | false | 14,492 | py | class Timeline(Animatable,ISealable,IAnimatable,IResource):
""" Defines a segment of time. """
def AllocateClock(self,*args):
"""
AllocateClock(self: Timeline) -> Clock
Creates a System.Windows.Media.Animation.Clock for this System.Windows.Media.Animation.Timeline.
Returns: A clock for this System.Win... | [
"magnetscoil@gmail.com"
] | magnetscoil@gmail.com |
f889324acec930ae67fcd208eae5a87585845cd0 | 2cda9caaa7a0f070139e39cae13744b11e0066ec | /Day5Class/NSAEncoder3.py | 61b8b4c2abf814d71896f4ba16966cabb79187de | [] | no_license | sc137/WASTC_Programming_Concepts_Python | 68df4e5cf016c56c571cc2ef51f1919e6140bf4d | 3f8d2ed614d04087e2211fa7a603c1b5a1e12c79 | refs/heads/master | 2021-01-19T00:31:29.481577 | 2016-07-05T19:05:35 | 2016-07-05T19:05:35 | 61,576,736 | 1 | 1 | null | 2016-06-24T20:54:59 | 2016-06-20T20:06:01 | Python | UTF-8 | Python | false | false | 729 | py | # version 1.0
fin = open('input.txt')
fout = open('output.txt', 'w')
encoded = []
decoded = []
while True:
sOld = fin.readline()
sNew = ""
if len(sOld) == 0:break
for i in range(len(sOld)):
sNew = chr(ord(sOld[i]) - 1)
encoded[len(encoded):] = [sNew] # Inserts at the end
i +=... | [
"sales@dansid.com"
] | sales@dansid.com |
dfa597d173fb2935cab5373869ba275323196172 | 7b1119c13af2a2c165d860123499ea1eba02b0f2 | /Own Implementation Final/activation.py | 932da22c017c53272c91e249e28f8fab421cee30 | [] | no_license | mohamed-minawi/RNN | 232adf641b9037357d680ff968d18e87d41bfdab | bfc452a650153967189139c51ed289a70e14b5ad | refs/heads/master | 2020-03-22T13:10:43.867256 | 2018-07-07T14:13:54 | 2018-07-07T14:13:54 | 140,088,891 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | import numpy as np
class Sigmoid:
def forward(self, x):
return 1.0 / (1.0 + np.exp(-x))
def backward(self, x, top_diff):
output = self.forward(x)
return (1.0 - output) * output * top_diff
class Tanh:
def forward(self, x):
return np.tanh(x)
def backward(self, x, top_di... | [
"mohamed-minawi@aucegypt.edu"
] | mohamed-minawi@aucegypt.edu |
25c35446e2c1e506709da0324a51c48114a589fb | fab8b89c723caf54ed49e2f0da8be592243d21ee | /Matlab/Stepping-Stones_msg_gen/catkin_ws/src/morpheus_skates/src/calibration_arduino.py | 98f7a24660c9f498b08d643c37d9f31ccb94fcf0 | [] | no_license | saunair/Stepping-Stones | 97752f5b9dad10cbe8cb4a208b99fefe99b7be05 | 177c9e884779227beaa725efb1f061d1a52db751 | refs/heads/master | 2021-06-20T16:12:46.651961 | 2017-07-27T16:46:46 | 2017-07-27T16:46:46 | 72,512,384 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,395 | py | #!/usr/bin/env python
# license removed for brevity
import rospy
import time
from std_msgs.msg import UInt16
import yaml
from morpheus_skates.msg import skate_feedback
import os
import rospkg
#config_file = '~/catkin_ws/src/motor/config/calibration_values.yaml'
#config_file = '/home/stepping/mrsd_team_H/Stepping-Sto... | [
"bfactor@andrew.cmu.edu"
] | bfactor@andrew.cmu.edu |
67c14f9b85a6fc763604cad2949acf2dbcbbab72 | 00c3f5934ba4e674c8f01ab1fc2d30f7eb9a803d | /Performance_Metric_Functions.py | 61f8f2501d66a75e12708503079a7b8a7bc81b5e | [] | no_license | alexanderbooth/Prattle_Interns | a67224ba82bafe661f95d7f8443fabbf009c3a03 | a97c65596af89feee6e6db7be281ce08f0a5f459 | refs/heads/master | 2020-12-31T01:48:31.110739 | 2015-07-06T21:44:36 | 2015-07-06T21:44:36 | 37,205,087 | 0 | 0 | null | 2015-06-10T15:20:47 | 2015-06-10T15:20:46 | Python | UTF-8 | Python | false | false | 5,587 | py |
# coding: utf-8
# In[2]:
import dateutil.parser
import json
import matplotlib.pyplot as plt
import numpy
import pandas as pd
import pandas.io.data
import requests
import datetime
import math
import operator
import scipy
import requests
import calendar
import statsmodels.api as sm
# In[3]:
#NEEDS COMMENTS FROM AL... | [
"jacob.cavner@gmail.com"
] | jacob.cavner@gmail.com |
69977fa0a2c06e8ff76915a512f98a4297e62f81 | bb607ff53fba9fe657291f6249c2c22abda2db4c | /settings.py | abb0840405d3700432a6d955f107a180498f66fb | [
"MIT"
] | permissive | AdrianSosaUV/pacman | 0c2442913f3b62fe42b19eb1e32e213ed8bd55e2 | 09865179cf0d92bab0f0276a3dfe49a6727c9bb4 | refs/heads/main | 2023-07-02T18:45:33.439762 | 2021-08-01T22:17:17 | 2021-08-01T22:17:17 | 381,440,147 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | import pygame
import random
import sys
from pygame.math import Vector2 as vec
##### SCREEN SETTINGS #####
TOP_BOTTOM_BUFFER = 50
WIDTH, HEIGHT = 610, 670
MAZE_WIDTH = WIDTH - TOP_BOTTOM_BUFFER
MAZE_HEIGHT = HEIGHT - TOP_BOTTOM_BUFFER
FPS = 60
COLS = 28
ROWS = 30
##### COLOR SETTINGS #####
BLACK = (0, 0, 0)
ORAN... | [
"adrsosa@uv.mx"
] | adrsosa@uv.mx |
389998e0016dfb745d0865cb2c25a7640c42ec89 | d4c1e34a07eebeaf1bce82ad860404373816caab | /loadXMLUI.py | b6a77755d6942c646d721508327777dd01384160 | [] | no_license | GiedreJursh/animation_importer-exporter_anim-blend | f245424d549b763400fe58bccb5146f4687d4422 | 8d0db13f054ad8257a98cf3dfa5da92449b12d46 | refs/heads/master | 2021-03-08T01:22:09.142790 | 2020-04-15T09:34:04 | 2020-04-15T09:34:04 | 246,308,669 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27,444 | py | #==============================================================================
# Namn: Giedre Jursenaite ================
# Datum: 2018-12-04 ================
#============================================================================... | [
"noreply@github.com"
] | noreply@github.com |
6e1aa88b726678e7f8b9712a1ce89865aa0879a7 | 98819f2bd523a159a5ea820f76f1705879048b32 | /osb-proxy/editPOIexec | 781f1de029acd8cff60eec463b1f255a790500dd | [] | no_license | cboehme/mappa-mercia | 97f9bcf11b4950772acf28c0f5fb0d14c2dee008 | 6a63007587d54c9771c71e707b734495b3041cdf | refs/heads/master | 2023-07-19T04:43:12.884620 | 2021-09-09T11:55:08 | 2021-09-09T11:55:08 | 305,172,339 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 832 | #!/usr/bin/env python
import MySQLdb
import cgi
import re
def main():
print "Content-type: text/html\n"
form = cgi.FieldStorage()
values = {}
values["id"] = form.getfirst("id", "")
values["text"] = form.getfirst("text", "")
# Check that parameters have a valid format:
if not re.match(r"^\d+$", values["id"]):... | [
"christoph@b3e.net"
] | christoph@b3e.net | |
744c28d6995722779eb62143a829e3a0342ff3aa | 600879a175c0d077ffdc7f06b630517eedc712c7 | /parser.py | 950b7c097dd191064002d04fe052056881e4a763 | [] | no_license | lebahoang/cooking-chatbot | 7a41ae5275f81c1bc5f09d4a751abcbc66774be2 | 36c2dd74d29aa9f1e28a399651e36c65fbb4c06d | refs/heads/master | 2021-01-20T15:09:47.185166 | 2017-05-15T04:19:33 | 2017-05-15T04:19:33 | 90,725,178 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,376 | py | import os
import functools
import bson
import optparse
import pykka
import time
import Discusscooking
import Crutils
class DiscussActor(pykka.ThreadingActor):
def __init__(self):
super(DiscussActor, self).__init__()
self.posts = []
self.site = Discusscooking.Discusscooking(runPreConfig=False)
def pars... | [
"hoang.le@zinio.com"
] | hoang.le@zinio.com |
ae5543276e6ec4f6dc0823885d5ba0a303c5e818 | cfc3fa658f826d02308453e557d82758895399c2 | /datasets/covid_qa_deepset/covid_qa_deepset.py | d43c1e5924c54b5a73b245220e1e6d2c37d225e1 | [
"Apache-2.0"
] | permissive | meehawk/datasets | cac530ec0e17514c01cdff30302521d6303ed93b | b70141e3c5149430951773aaa0155555c5fb3e76 | refs/heads/master | 2023-03-29T12:51:54.700891 | 2021-04-08T17:22:53 | 2021-04-08T17:22:53 | 355,996,122 | 9 | 0 | Apache-2.0 | 2021-04-08T17:31:03 | 2021-04-08T17:31:02 | null | UTF-8 | Python | false | false | 4,607 | py | # coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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/lice... | [
"noreply@github.com"
] | noreply@github.com |
3250c742e18eed7ddfe5a22d65db4e60f3926cbe | 4039fa476687096b4cc6e931da6e81bc2f5f136b | /guestbook/migrations/0001_initial.py | 818ec5376f6f2966eb42ad91719a4eeaa23caa4e | [] | no_license | Kuzzmich/broomtrade | 469073625d0e880640641defd939759639399009 | 93f82de850e8b9148adfd89f2158fb575d6cb73f | refs/heads/master | 2020-03-08T20:19:34.258706 | 2018-06-07T12:45:31 | 2018-06-07T12:45:31 | 128,379,107 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 973 | py | # Generated by Django 2.0 on 2018-04-11 09:18
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Guestbook',
fields=[
('id', models.AutoField(... | [
"kramin.alexey@gmail.com"
] | kramin.alexey@gmail.com |
e08be3ba1cb5e7385ca2ee43f750efd00c3a8623 | ecc3dd38ed577fe3d8eff65ab36e9123a3f9f48f | /Clustering/AngelCalvoTask1.py | 1fc98490623b243d5c08b59c18963223cb5b1514 | [] | no_license | AngelCalvoGrande/MachineLearningTechniques | 813299c394a805d5c422b9e1d426ffc0c4bdcfde | ac124af84581888fb73a64e263c865db3d42145a | refs/heads/master | 2020-08-09T06:40:46.469766 | 2020-01-31T22:35:20 | 2020-01-31T22:35:20 | 214,023,834 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,639 | py | # -*- coding: utf-8 -*-
"""
Editor de Spyder
Este es un archivo temporal
"""
import pandas as pd
from mpl_toolkits.mplot3d import Axes3D
#0 . Load the data
# read the csv
df = pd.read_csv("T2.csv")
# list the columns
list(df)
# print number of rows and columns
print (df.shape)
# 1. Filtering
# 1.1 Filter rows... | [
"noreply@github.com"
] | noreply@github.com |
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