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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
522c84f8db34b50d58ffb6b486b23961e9cc2994 | 5556424ae28e1965ccf0bb60b8203d76e812c3e3 | /app/settings_prod.py | 3db6997577ab1a3ec887588bf20072da76a50cb7 | [] | no_license | astromitts/borkle | e0c36ebb0c6575d123680342efcf20383d592102 | ff5f67a1fb81bc0dbf4afb5e8fda3cbe86ec9b63 | refs/heads/main | 2023-01-01T02:48:54.321538 | 2020-10-25T13:43:45 | 2020-10-25T13:43:45 | 307,006,472 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 139 | py | import os
from app.settings import * # noqa
DEBUG = True
STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage'
| [
"bomorin-id@MacBook-Pro.local"
] | bomorin-id@MacBook-Pro.local |
ec45f92fa7feccad2e8ebffe1dfe13c66eefb4c8 | b4f80293a9230925429bccf9ca80df404f830466 | /char-rnns/microgradchar.py | 90cbf45553a52b3692d0fbe815caa415f50e10ab | [] | no_license | jcanode/nlp_fun | cac737c43559aaa7bca55984b849adfbea4e1314 | f81a75fe6f325eeaf531d3c6cfa64ef12ada4fc2 | refs/heads/master | 2023-01-11T15:34:04.888871 | 2020-11-11T04:56:52 | 2020-11-11T04:56:52 | 303,938,286 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 463 | py | from micrograd.engine import Value
a = Value(-4.0)
b = Value(2.0)
c = a + b
d = a * b + b**3
c += c + 1
c += 1 + c + (-a)
d += d * 2 + (b + a).relu()
d += 3 * d + (b - a).relu()
e = c - d
f = e**2
g = f / 2.0
g += 10.0 / f
print(f'{g.data:.4f}') # prints 24.7041, the outcome of this forward pass
g.backward()
print(f'{... | [
"45806280+jcanode@users.noreply.github.com"
] | 45806280+jcanode@users.noreply.github.com |
183aba71c348509e64b9916b1b2e0d84103f3be3 | 322726c2e15389d0381692676156a5e87c8ad0f9 | /site/bin/painter.py | 342e538912085fb724da01907eca35899f87f5b4 | [] | no_license | Trostnick/PSDB | e2cddd3f5c4518098e38935d441e0112b178aa14 | fd4c4a209d60c1c029916b0328ac9d7372daed83 | refs/heads/master | 2020-05-27T13:01:55.726212 | 2018-03-20T14:32:12 | 2018-03-20T14:32:12 | 124,147,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,119 | py | #!/home/meeg/site/bin/python2
#
# The Python Imaging Library
# $Id$
#
# this demo script illustrates pasting into an already displayed
# photoimage. note that the current version of Tk updates the whole
# image every time we paste, so to get decent performance, we split
# the image into a set of tiles.
#
try:
fro... | [
"trostnick97@mail.ru"
] | trostnick97@mail.ru |
c36e62063a94a409390144111aa8b1febb637d79 | 1c594498900dd6f25e0a598b4c89b3e33cec5840 | /iqps/search/views.py | c6c5dfb564a3088854e3a4badd988789e7fb6d3b | [
"MIT"
] | permissive | thealphadollar/iqps | cef42ed8c86e4134e724a5f4967e96a83d672fcd | 187f6b134d82e2dce951b356cb0c7151994ca3ab | refs/heads/master | 2023-07-14T04:41:13.190595 | 2020-06-25T14:51:17 | 2020-06-25T14:51:17 | 277,360,692 | 0 | 0 | MIT | 2020-07-05T18:29:17 | 2020-07-05T18:29:16 | null | UTF-8 | Python | false | false | 3,320 | py | from django.shortcuts import render
from django.db import connection
from django.http import JsonResponse
from iqps.settings import DATABASES
#from .processors import SearchCursor
#Use this with sqlite
#db_name = DATABASES['default']['NAME']
def sqlite_search(subject, year=0, department="", paper_type=""):
year_... | [
"smishra99.iitkgp@gmail.com"
] | smishra99.iitkgp@gmail.com |
e077f429daff201e907044fe1dafc3a66af86952 | 26fc334777ce27d241c67d97adc1761e9d23bdba | /tests/django_tests/tests/middleware_exceptions/tests.py | 0c39f09f9156cf2b9787fa67ac627a5c7dd4a653 | [
"BSD-3-Clause"
] | permissive | alihoseiny/djongo | 1434c9e78c77025d7e0b3330c3a40e9ea0029877 | e2edf099e398573faa90e5b28a32c3d7f1c5f1e9 | refs/heads/master | 2020-03-27T23:27:02.530397 | 2018-08-30T14:44:37 | 2018-08-30T14:44:37 | 147,317,771 | 2 | 1 | BSD-3-Clause | 2018-09-04T09:00:53 | 2018-09-04T09:00:53 | null | UTF-8 | Python | false | false | 6,887 | py | from django.conf import settings
from django.core.exceptions import MiddlewareNotUsed
from django.test import RequestFactory, SimpleTestCase, override_settings
from django.test.utils import patch_logger
from . import middleware as mw
@override_settings(ROOT_URLCONF='middleware_exceptions.urls')
class MiddlewareTests... | [
"nesdis@gmail.com"
] | nesdis@gmail.com |
1265e8a3612b796c07f5ab24327fecb0bbb2d1b8 | b9a607c121c8e36c3c1dec47003ec2fbfc660ff1 | /sendmail/views.py | 6a5b9c7c278a35a31939020d3becfa191cb0c296 | [] | no_license | AustralianSynchrotron/send-mail-server | fe8bc8a6e5c076d9980b8b6df25f50a10f875927 | ea3c3eff1e229bfeb35a008b6a4c116a86113af0 | refs/heads/master | 2021-01-19T11:45:06.921363 | 2017-07-15T14:00:24 | 2017-07-15T14:00:24 | 82,261,123 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,969 | py | from sendmail import app,mail
from flask_mail import Message
from flask import request
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
st = logging.StreamHandler()
st.setLevel(logging.DEBUG)
formatter = logging.Formatter("%(asctime)s [%(name)s] %(levelname)s :: %(message)s")
st.set... | [
"cameron.rodda@synchrotron.org.au"
] | cameron.rodda@synchrotron.org.au |
fbe152c2c7005c6aebce424912f910e0be53e37a | 65ce70d806e379f75683244722b2975e6f511bbb | /another program/Map() in Python.py | 32bbde9e8dc5fdc8bc20989ea35087a257880b03 | [] | no_license | Mahedi2150/python | dfc2ad6c01d16cf5a6da85864d5fb9c478e645ef | 37fbd2b1fe0b606cc91a5bc8a47a0fc9f2ab0eec | refs/heads/master | 2022-12-30T17:20:23.705238 | 2020-10-20T20:04:55 | 2020-10-20T20:04:55 | 293,569,171 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | """def mulFiveTimes(number):
return number*5
result = []
num = [3,5,7,9,1,5]
for i in num:
result.append(mulFiveTimes(i))
print(result)"""
def mulFiveTimes(number):
return number*5
num = [3,5,7,9,1,5]
print(list(map(mulFiveTimes,num))) | [
"noreply@github.com"
] | Mahedi2150.noreply@github.com |
5d74c49cfb918d4a55a35493f41a60b12a5f1a0f | 667c2d8d8a37a3a7719d5aa44586f59f8ce8fd51 | /bakery/__init__.py | 952a95fe79f173ed2e4c6d969e5f5477dc00636a | [
"MIT"
] | permissive | iredelmeier/doughknots | fe2880dff5b32a81e572b088cbe97b1501b2f38a | 487431b189eed8e33d369403100ff3b68d7a4151 | refs/heads/master | 2022-12-23T22:00:33.953861 | 2019-07-17T22:48:59 | 2019-07-17T22:48:59 | 197,473,677 | 3 | 0 | MIT | 2022-12-08T05:54:28 | 2019-07-17T22:49:51 | Python | UTF-8 | Python | false | false | 195 | py | from .bakery import Bakery, NoopBakery
from .httpclient import HttpClient
from .kind import Kind
from .service import Service
__all__ = ["Bakery", "HttpClient", "Kind", "NoopBakery", "Service"]
| [
"iredelmeier@gmail.com"
] | iredelmeier@gmail.com |
9d72434ff4c42cd9934c292efbbb2cdcf75e5a58 | f719ec76a8417fc05a2d46ada2501052e2bf9469 | /exp_runners/traffic/cent_traffic_runner.py | 2179e0136d393da470ab919a3989f6ab9e970282 | [] | no_license | yang-xy20/DICG | cc31064a3e4a3dd01414161e42b228c2c09bfea7 | c64ba9dbbe0f2b745cd04ce516aa1fed4c2cffc7 | refs/heads/master | 2023-07-04T18:25:18.461196 | 2021-08-19T21:34:06 | 2021-08-19T21:34:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,351 | py | import sys
import os
current_file_path = os.path.dirname(os.path.abspath(__file__))
sys.path.append(current_file_path + '/../../')
import socket
import collections
import numpy as np
import argparse
import joblib
import time
import matplotlib.pyplot as plt
from types import SimpleNamespace
import torch
from torch.nn ... | [
"lisheng@stanford.edu"
] | lisheng@stanford.edu |
0093acd5c0ab3527f6e25307f4a2f09b05a3eb73 | 27f1be7865eb58d17e5478299b5685fc625a055c | /src/dataset/dataset_mnistm.py | 99eaa5390d2b6840b00a2fc0b30135514eaefe79 | [
"MIT"
] | permissive | mkirchmeyer/adaptation-imputation | e53099f654bf75526e11ed93e9b78e4a26ed0bef | 7ef683f2da08699b3f877467fdb0e00d3b02bccc | refs/heads/main | 2023-08-28T05:31:30.924573 | 2021-10-13T15:03:59 | 2021-10-13T15:09:42 | 351,026,014 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,718 | py | """
Dataset setting and data loader for MNIST-M.
Modified from
https://github.com/pytorch/vision/blob/master/torchvision/datasets/mnist.py
CREDIT: https://github.com/corenel
"""
from __future__ import print_function
import errno
import os
import torch
import torch.utils.data as data
from PIL import Image
from src.da... | [
"m.kirchmeyer@criteo.com"
] | m.kirchmeyer@criteo.com |
e7277b90bf91d0a0aa2e1eb71e0f8754381554a3 | 12a8b0779182959fe2e48b3df12b093c970da4d8 | /listings/models.py | eacf6c83d0b2667e7b237b3573abd1e5ffa3de36 | [] | no_license | kdogan11/rf_project | 8169e8dd74eeabc1e3d1934239ed35df58e1542b | ec245e19b80ced07a1fbe8468479d18e46d34ac0 | refs/heads/master | 2020-04-10T14:24:47.281703 | 2018-12-09T21:28:10 | 2018-12-09T21:28:10 | 161,076,644 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,474 | py | from django.db import models
from datetime import datetime
from realtors.models import Realtor
class Listing(models.Model):
realtor = models.ForeignKey(Realtor, on_delete=models.DO_NOTHING)
title = models.CharField(max_length = 200)
address = models.CharField(max_length = 200)
city = models.CharField(... | [
"kdogan11@gmail.com"
] | kdogan11@gmail.com |
cdd2eecd01704a67982d8dda03dcfaa9b67cffff | 3f9c9a80240b5d059dd48d30859c498c417b3db5 | /visit_column.py | 2f6b2dc3c0dfcd234f404aa02ca94803df8a2f28 | [] | no_license | haiqiang2017/csdn_pageviewers- | 45f858815e712b4240826eb59b6f9d892d520031 | fd5c32a051a49a811b89323fe83f36b628686a33 | refs/heads/master | 2020-05-15T21:50:24.153753 | 2019-05-02T15:40:43 | 2019-05-02T15:40:43 | 182,510,406 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,235 | py | #coding:utf-8
import random
import urllib3
import time
from cookie_pool import get_cookie
from UserAgent_pool import get_UserAgent
import requests
"""提取数据访问链接"""
# 禁用urllib3的警告
urllib3.disable_warnings()
class visitSpider(object):
def __init__(self):
self.ua = get_UserAgent().get_random_useragent()
... | [
"Venus_haiqiang@163.com"
] | Venus_haiqiang@163.com |
383e4c356d475a877c9169bab7cfba4b57eb90d8 | b9e0e10e9014f80ede6ea7c29174697367cf9acb | /src/evaluation_utils.py | 6ad5766e619bc2ac050261f9ead7b8438681df4f | [
"MIT"
] | permissive | talshapira/SASA | 2e9b7353147b5cba8e48b65ebb12b9bd13346a53 | 70db6ba36d7602e46fbb95b6a3cac822c8af2ab9 | refs/heads/main | 2023-08-17T08:52:33.398005 | 2021-10-04T15:36:44 | 2021-10-04T15:36:44 | 407,496,107 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,195 | py | from sklearn.metrics import confusion_matrix
import itertools
import matplotlib.pyplot as plt
import numpy as np
from sklearn.metrics import accuracy_score, recall_score, roc_auc_score, roc_curve, auc, precision_score
def get_tpr_specific_fpr(fpr, tpr, s_fpr=0.01):
for i, fp in enumerate(fpr):
if fp > s_fp... | [
"noreply@github.com"
] | talshapira.noreply@github.com |
9e99850e135e9250610331794779c4d4a0c8881e | 449c29b00f44e441f285638eea46fe957a042424 | /MainApp/mixins.py | d01891068c8582665e8aca033474b0576eb0d1dc | [] | no_license | InnocenceNerevarine/Diploma | d4260cf55041583a6e199f75884bd46e3e5ffd3c | 7a2ea9976ec7e0730c7731a4a0613cd7c58013af | refs/heads/master | 2023-04-26T13:00:53.634118 | 2021-05-20T06:52:07 | 2021-05-20T06:52:07 | 368,245,756 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 984 | py | from django.views.generic import View
from .models import Cart, Customer
class CartMixin(View):
def dispatch(self, request, *args, **kwargs):
if not request.session.session_key:
request.session.save()
self.session = request.session
if request.user.is_authenticated:
... | [
"ilya.sidorov.2014@gmail.com"
] | ilya.sidorov.2014@gmail.com |
fc1a6a670a2055dd23d840641834d8d1a011428d | 18462298cd5636399735339266ece565e7fbd494 | /daily_weather/setup.py | e684da34c60bb9bee45f2fddfa44d55802629abc | [] | no_license | AnkitP7/flask-demo | 4f8897d7563392a398dc10207af900d4afe45115 | 1ce10542669a044cece68c5cf4fb1caaa99003aa | refs/heads/master | 2020-03-29T12:19:44.807918 | 2018-09-22T16:28:29 | 2018-09-22T16:28:29 | 149,893,875 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | from setuptools import setup
setup(
name='daily_weather',
packages=['daily_weather'],
include_package_data=True,
install_requires=[
'flask',
'pylint'
],
)
| [
"ankit.patel39@gmail.com"
] | ankit.patel39@gmail.com |
5b2787c83a0a8eb0caae96635e595e2bc7f9dbed | bc441bb06b8948288f110af63feda4e798f30225 | /database_delivery_sdk/api/sqlpkgs/update_pb2.py | 0f09d354715753abc6b91286cff95f9f6a2d58bf | [
"Apache-2.0"
] | permissive | easyopsapis/easyops-api-python | 23204f8846a332c30f5f3ff627bf220940137b6b | adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0 | refs/heads/master | 2020-06-26T23:38:27.308803 | 2020-06-16T07:25:41 | 2020-06-16T07:25:41 | 199,773,131 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | true | 14,764 | py | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: update.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf impo... | [
"service@easyops.cn"
] | service@easyops.cn |
b1487c88e0ba1b6b72123718eba565f36d6903b3 | 8b0dcbc828284e273e1f2065b8d4870521681455 | /app.py | 0a9d7432681831d781202487642fbe84c4b276b5 | [] | no_license | BCStudentSoftwareDevTeam/Scrolling-Font-Changer | d46a06b9b750e2bee364f5d9c14fd36553980f4c | b9717eac8e207b6c2d6e3b6eb07a94bd7a0d5f96 | refs/heads/master | 2020-08-01T23:22:59.518056 | 2019-09-30T18:37:53 | 2019-09-30T18:37:53 | 211,156,250 | 0 | 0 | null | 2019-09-26T18:29:04 | 2019-09-26T18:29:03 | null | UTF-8 | Python | false | false | 2,889 | py | from flask import Flask, render_template, request, redirect, url_for
import threading, time
app = Flask(__name__)
app.jinja_env.trim_blocks = True
app.jinja_env.lstrip_blocks = True
@app.route('/young')
def young():
return render_template("main.html", age = "young")
@app.route('/old')
def old():
return render_tem... | [
"heggens@berea.edu"
] | heggens@berea.edu |
fef8db32f61c0a08006394e2202189ef6d30a1d7 | bba12c5af82ea9d1f0321231bd4d33e835212128 | /redisPubsub.py | 565f0398530d4426cbc67a325ae307265ba30a0b | [] | no_license | stock-ed/material-study | c151598b2b22f34ee8fb906ac86689b264094769 | 04b5607881b44faa9d4568b412ed5249a6f170b1 | refs/heads/main | 2023-08-23T22:24:16.810727 | 2021-10-18T07:22:08 | 2021-10-18T07:22:08 | 404,207,971 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,777 | py | import threading
import redis
import json
from redisTSBars import RealTimeBars
from redisUtil import KeyName, RedisAccess
class RedisSubscriber(threading.Thread):
def __init__(self, channels, r=None, callback=None):
threading.Thread.__init__(self)
self.redis = RedisAccess.connection(r)
sel... | [
"kyoungd@hotmail.com"
] | kyoungd@hotmail.com |
f73ad632a0b644f358bb65369b1122bfe0e5dda5 | 3143d971afa307c824c76cb3b6fba27b47b53ff8 | /showTest/grade_crawle/src/example.py | 869587302567e21d03fd1ee54a9abc628ccaef67 | [] | no_license | InnerAc/GradeQuery | 62838fef31af17e012198bfdc754c83abaca5869 | 53769a50e27b9e4aed146c30a8d30e05466c6c04 | refs/heads/master | 2020-05-29T17:55:52.086130 | 2016-02-27T03:06:42 | 2016-02-27T03:06:42 | 42,023,260 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 821 | py | from segmentation import NormalSegmenter
from feature_extraction import SimpleFeatureExtractor
from analyzer import KNNAnalyzer
import random
import urllib
def getImage(url, file_path):
u = urllib.urlopen(url)
data = u.read()
f = open(file_path, 'wb')
f.write(data)
f.close()
segmenter = Normal... | [
"anjicun@live.com"
] | anjicun@live.com |
3edc6166c5ab9e995f874c861d02d67b0d48ae21 | 3d671fcdd27ae90698c29d0e066c662dcd4e5ee9 | /myproject/myroot/mysite/settings.py | e0fa391dbcf7d7712f450517d82f4800b9950be3 | [] | no_license | GeethuEipe/Django | 63212ac6e4bcaefa8cc5c05ea8641e72ddd04518 | 799c1157b0d7fdab07b02ca491a722ce60219ac0 | refs/heads/main | 2023-03-26T18:32:24.119589 | 2021-03-27T12:29:41 | 2021-03-27T12:29:41 | 352,067,335 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,157 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
from pathlib ... | [
"geethueipe97@gmail.com"
] | geethueipe97@gmail.com |
788b1114cf8da3899edd4800a1fbc676bf8142ee | 1577e1cf4e89584a125cffb855ca50a9654c6d55 | /pyobjc/pyobjc/pyobjc-framework-Quartz-2.5.1/Examples/Programming with Quartz/BasicDrawing/MyAppController.py | 7108ddb749d657bf205c4db6e76aba0164427919 | [
"MIT"
] | permissive | apple-open-source/macos | a4188b5c2ef113d90281d03cd1b14e5ee52ebffb | 2d2b15f13487673de33297e49f00ef94af743a9a | refs/heads/master | 2023-08-01T11:03:26.870408 | 2023-03-27T00:00:00 | 2023-03-27T00:00:00 | 180,595,052 | 124 | 24 | null | 2022-12-27T14:54:09 | 2019-04-10T14:06:23 | null | UTF-8 | Python | false | false | 4,062 | py | from Cocoa import *
import objc
import PDFHandling
import BitmapContext
import Utilities
# Initial defaults
_dpi = 144
_useQT = False
def getURLToExport(suffix):
savePanel = NSSavePanel.savePanel()
initialFileName = "BasicDrawing.%s"%(suffix,)
if savePanel.runModalForDirectory_file_(None, initialFileNa... | [
"opensource@apple.com"
] | opensource@apple.com |
75a01a39bc004c6914c4510e6c3287cc71942b9a | 478fe983582eee010b9de9a446383c02e2c3b449 | /utils/merge_fastq.py | 3908ca836dcf3e7df05759cfcc039c4fe0fb7116 | [] | no_license | jrw24/SRI37240 | 79e9d4f1090e3b19fa493cc28e559dfedc917041 | ddb86a12f60abaf593df627b6ed6512097ceb33a | refs/heads/master | 2021-07-23T14:13:02.466810 | 2020-02-13T19:37:13 | 2020-02-13T19:37:13 | 240,345,550 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,108 | py | ### Script for merging fastq files from seperate experiments
import sys
import os
import subprocess
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--inputDir', help= 'directory with fastq files')
parser.add_argument('--outputDir', help = 'directory to send output')
args = parser.parse_args()... | [
"greenlab@greenlabs-pro.win.ad.jhu.edu"
] | greenlab@greenlabs-pro.win.ad.jhu.edu |
01685b4a849a3156658fa0dbdaad10650ff9d148 | b14802e3892a661fa62d9d0772f72becc0abd612 | /evaluation/get_top_socored.py | 0bd0d8919ad1d0eed44022b6a57cbb69617117bb | [] | no_license | gombru/HateSpeech | e4c4b7993354ce2cb49334b814f929364fdcb446 | 7891c7e2835f17ed2a9985abd285e19788685c66 | refs/heads/master | 2022-02-23T08:57:34.909778 | 2022-02-10T12:54:41 | 2022-02-10T12:54:41 | 138,057,409 | 6 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,326 | py | import numpy as np
import operator
import shutil
import os
model_name = 'MMHS_classification_CNNinit_SCM_ALL_epoch_10_ValAcc_62'
out_folder_name = 'top_MMHS_classification_CNNinit_SCM_ALL_epoch_10_ValAcc_62'
out_file = open('../../../datasets/HateSPic/MMHS/top_scored/' + out_folder_name + '.txt','w')
if not os.path.e... | [
"raulgombru@gmail.com"
] | raulgombru@gmail.com |
c02da091fdeacb53d6ce13fd9ec1162d84589d2e | 058a0b8ca26624c74edf260e19ead70548f66e25 | /UserInterface/Admin_Mode_1.py | 39e252dc85979c0e3bc38a874e3642c1b9389258 | [] | no_license | chenhuik029/TimeLog_py | 35a9eb291e81c5b4f28de84f0ae2f0a677ebddd8 | a47d174dd189cb8221b7bd8545b4e91a0d0ba4ab | refs/heads/master | 2023-06-08T02:40:20.856109 | 2021-07-04T13:54:55 | 2021-07-04T13:54:55 | 330,116,703 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,101 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '04_Admin_Mode_01.ui'
#
# Created by: PyQt5 UI code generator 5.15.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtC... | [
"chenhui_k029@hotmail.com"
] | chenhui_k029@hotmail.com |
e20a5ee9ecd63a4818ab1e7040a2fe0646911b83 | 6af28264b86db139af2a885a7355be6184e2af7d | /backend/schedule_randomiser.py | de684df001503a678c69bc0c97b7ed87185e89ca | [] | no_license | LieutenantPorky/ember | 8792bc5ce2c48a0c8380b9ccfa08a337ca85308e | 39385d36be49eaad9ffac6c57ff55361d9100e03 | refs/heads/master | 2020-12-14T12:47:21.242585 | 2020-01-19T14:49:52 | 2020-01-19T14:49:52 | 234,749,374 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,962 | py | from peewee import *
from playhouse.sqlite_ext import *
import json
import numpy as np
from datetime import date, datetime, time, timedelta
week = [date(day=20 + i,month=1,year=2020) for i in range(0,5)]
#[print(i.isoformat()) for i in week]
randClasses = [
["9:00", "10:00", "Intro to Minecraft"],
["11:00", "13:00"... | [
"jacopo@siniscalco.eu"
] | jacopo@siniscalco.eu |
576cdc82df4f4c2c6b43fd86bf0387f7bd3e2b14 | 54ff26f132923cf5cf6c19e56156e8b99b65c6aa | /jobsapp/migrations/0009_auto_20201108_0009.py | 1db9f61d18ca784a57804d5c939fdde783fc738a | [
"MIT"
] | permissive | sokogfb/Job-Portal | e19d2a80b82b24dfc2e305346db9fbddfe06d81d | 15c9065853920ddfe6e43a37062cc7fd32fb7f8e | refs/heads/main | 2023-01-21T06:50:48.925252 | 2020-11-09T19:25:29 | 2020-11-09T19:25:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 457 | py | # Generated by Django 3.0.7 on 2020-11-07 18:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobsapp', '0008_auto_20200810_1925'),
]
operations = [
migrations.AlterField(
model_name='job',
name='category',
... | [
"54090909+rajpateln1995@users.noreply.github.com"
] | 54090909+rajpateln1995@users.noreply.github.com |
27f391a18eeeb3d62288d25e1dbfff1a600a7beb | bcebaeb318059cbf8b7d2bb0e991253440be3518 | /importingEXCEL.py | 2a856236e021f8cc6988304a8248026866c52057 | [] | no_license | JadfJamal98/FEC_final_version | add4dc70658f4f427295ec54bdf021f1c4027fce | 1ac3b9c00038ea21610c372efeedb85a5a2a49b7 | refs/heads/main | 2023-08-05T16:13:45.711104 | 2021-10-11T21:22:28 | 2021-10-11T21:22:28 | 370,786,734 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,375 | py | from openpyxl import load_workbook
def searchcatsub(sr,D):
""" This function return a list of subcategory's name for a category or the categor's name for the topic
input:
sr: Excel Search Engine for a specific Sheet
D: the Name of the column from which we want to extract the names
Output:
list... | [
"71495618+JadfJamal98@users.noreply.github.com"
] | 71495618+JadfJamal98@users.noreply.github.com |
429d42c8fd21f8aeed2ca8697dc6fab586d5a1dd | 1fec393454ffe7f65fce3617c14a2fcedf1da663 | /Searching/Searching I/matrix_median.py | 9cab3f6da7a1a3e9e867bcedf81f9997880f980b | [] | no_license | VarmaSANJAY/InterviewBit-Solution-Python | fbeb1d855a5244a89b40fbd2522640dc596c79b6 | ea26394cc1b9d22a9ab474467621d2b61ef15a31 | refs/heads/master | 2022-11-27T22:46:34.966395 | 2020-08-09T14:10:58 | 2020-08-09T14:10:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 864 | py | from bisect import *
class Solution:
def binary_search(self,A, min_el, max_el, cnt_before_mid):
s = min_el
e = max_el
while s < e:
mid = (s+e) // 2
count = 0
for row in A:
count += bisect_right(row, mid)
if count > cnt_before_mi... | [
"srajsonu02@gmail.com"
] | srajsonu02@gmail.com |
4b324a9f9ea99b231e13b55494bd0092b1cf52ec | c3ca0bcea4d1b4013a0891f014928922fc81fe7a | /examples/multi_step_training.py | 605e0ac42e4b43a5d9c9b7ba9d1573554d4f6c74 | [
"MIT"
] | permissive | takuseno/d3rlpy | 47894b17fc21fab570eca39fe8e6925a7b5d7d6f | 4ba297fc6cd62201f7cd4edb7759138182e4ce04 | refs/heads/master | 2023-08-23T12:27:45.305758 | 2023-08-14T12:07:03 | 2023-08-14T12:07:03 | 266,369,147 | 1,048 | 222 | MIT | 2023-09-02T08:12:48 | 2020-05-23T15:51:51 | Python | UTF-8 | Python | false | false | 1,483 | py | import argparse
import gym
import d3rlpy
GAMMA = 0.99
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--env", type=str, default="Pendulum-v1")
parser.add_argument("--seed", type=int, default=1)
parser.add_argument("--n-steps", type=int, default=1)
parser.add_argument... | [
"takuma.seno@gmail.com"
] | takuma.seno@gmail.com |
86673876860a16e73baeba13cf15a5f5f9a6b8f6 | ca9bf5b1d53ff7d755c53e45486238cf4c2fec43 | /src/accounts/forms.py | 3fce5be865495125379ea09990f5b3f0c5dbfb1e | [] | no_license | pagnn/Geolocator | 6aa2e75aab8395f0f22048dd844b7d69b2ac3ee7 | b45d9500667e3552acc8c851e7f8f383d3d86c9f | refs/heads/master | 2021-09-01T09:13:55.726030 | 2017-12-26T06:13:11 | 2017-12-26T06:13:11 | 110,927,555 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 262 | py | from django import forms
from django.contrib.auth.forms import AuthenticationForm
class LoginForm(AuthenticationForm):
def confirm_login_allowed(self,user):
if not user.is_active:
raise forms.ValidationError('This account is inactive',code='inactive')
| [
"sylviawei19950920@gmail.com"
] | sylviawei19950920@gmail.com |
7c4cb0d388dfd9e306500f3f0b0cc9ceb415e596 | e15575c838c4f656e751a0d544f6cf1e49580305 | /User_Accounts/migrations/0001_initial.py | 326403f3fb22f7c06dd73251b6fda46741b4ffed | [] | no_license | manojakumarpanda/Blog_post_and-comment | bd764676b9f17ab95eb163bbe17c7dc4f1550a66 | 84540228d33d8e6337a12eb834ffbc2ccbdd5fc2 | refs/heads/master | 2022-07-03T21:33:10.230573 | 2020-05-14T17:39:20 | 2020-05-14T17:39:20 | 263,977,200 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,041 | py | # Generated by Django 2.1.7 on 2020-05-07 15:27
import django.contrib.auth.models
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0009_alter_user_last_... | [
"kumarpandamanoja@gmail.com"
] | kumarpandamanoja@gmail.com |
d30aefdbac47c69b1651c631e5c0d110bdced301 | abdc30ddc3e2aa874afe85f3b3cf914c55ef98a4 | /RecipeForDisaster/views.py | 681a2096fc19587138817e22f8a920a6b05f2c06 | [] | no_license | dann4520/RecipeSite | 65fd1b8afbb9ef0414dd4431cc918d3eeaf34b94 | 851b49fac08d74aabe5dde88d4c56d375edf705d | refs/heads/master | 2020-04-19T12:37:50.444276 | 2019-01-29T18:22:21 | 2019-01-29T18:22:21 | 168,088,066 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 334 | py | from django.shortcuts import render
from django.utils import timezone
from .models import Recipe
# Create your views here.
def recipe_list(request):
recipes = Recipe.objects.filter(created_date__lte=timezone.now()).order_by('created_date')
return render(request, 'RecipeForDisaster/recipe_list.html', {'recipes'... | [
"stabdan@gmail.com"
] | stabdan@gmail.com |
350796e30288007d708560cb8c78151b69807870 | 2b2d000525205763a8379621f2413c1c5dae1aa0 | /resize2.py | 869d8b06bdaa1fd07f0269feb4a328531c0c9670 | [] | no_license | DAYARAM99/opencv- | 0c6defbe034c3a237c4093f362dfe65b884e6e3b | af37fd6823cf956fe9b1d13b6727833888e1a443 | refs/heads/master | 2020-08-11T04:31:12.622793 | 2019-10-11T17:23:54 | 2019-10-11T17:23:54 | 214,491,923 | 0 | 0 | null | 2019-10-11T17:16:59 | 2019-10-11T17:16:59 | null | UTF-8 | Python | false | false | 373 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 4 05:44:06 2019
@author: Rajat arya
"""
import cv2
img=cv2.imread("index.png")
resize_img = cv2.resize(img, (int(img.shape[1]/2), int(img.shape[0]/2)))
resized_image = cv2.resize(img, (650,500))
resized_image = cv2.resize(img, (650,500))
cv2.imshow("image",r... | [
"noreply@github.com"
] | DAYARAM99.noreply@github.com |
2a407ad94d7f94a71b7a2950a9fb841ae5678614 | ca5b57ee732081cf03de08e8f640ba2197b1a11e | /Binary Search/Tree/Longest Tree Sum Path From Root to Leaf.py | cc5a508e70e1b35eaaeddd53b9909ef5fddcf6df | [] | no_license | Ajinkya-Sonawane/Problem-Solving-in-Python | cf0507fca0968f6eef02492656f16b256cc0d07c | 96529af9343d4a831c0f8f4f92df87a49e155854 | refs/heads/main | 2023-06-06T12:46:57.990001 | 2021-06-12T19:38:02 | 2021-06-12T19:38:02 | 369,957,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 746 | py | # https://binarysearch.com/problems/Longest-Tree-Sum-Path-From-Root-to-Leaf
# class Tree:
# def __init__(self, val, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def solve(self, root):
return self.traverse(root)[0]
def trav... | [
"sonawaneajinks@gmail.com"
] | sonawaneajinks@gmail.com |
46b2a84ea85072fd8b8c7365f2bcc70d57327e12 | 8509927b6281647a5400f92a2199cb82860f2997 | /code/grid_search/run_grid_search.py | b60615d1712fba4315ad782c693ded31690fffc0 | [] | no_license | egeodaci/comp551-2020-p2_classification_of_textual_data | 02dbd55dd61a098081aed27202ce5d653ca46dee | 13b6e169b5b965b7185de49294c33c35c7da9b65 | refs/heads/master | 2022-11-21T08:15:45.700213 | 2020-07-09T17:38:22 | 2020-07-09T17:38:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,838 | py | import json
import logging
import os
from time import time
from sklearn import metrics
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.lin... | [
"ramon.fgrd@gmail.com"
] | ramon.fgrd@gmail.com |
90e17c94f2e06a546e4b52d1a8e0b9da901b50ce | 991666b692f8017c2d753b0267eb9189413f54eb | /bin/Debug/models/sum.py | 32fb9016bc4f31059e4160cc0aae8e9682a9deed | [
"Apache-2.0"
] | permissive | DaniilVdovin/InformaticalPasCompilCore | 8a0b4e532e439b2497ec35028d9bade6c37b1b98 | 6d3f6fd3bef63a355c4fd39aabccf3a768daaa7c | refs/heads/main | 2023-04-20T12:47:09.101144 | 2021-05-02T09:00:35 | 2021-05-02T09:00:35 | 363,605,177 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 101 | py | import sys
if(sys.argv[1]=="-r"):
print("r:0:100:2")
else:
print(sum(map(int,sys.argv[1:])))
| [
"stels1040533@gmail.com"
] | stels1040533@gmail.com |
025eb96b12404c357e6dfb6cd2f21162f9492c7b | bf014a59c19683bf6c6e0c2ec5b89a18c4305b3c | /backends/__init__.py | 6ab5708fda5ed59498f8977037d2d3a11eef6adf | [
"MIT"
] | permissive | l3robot/pytorch-a3c | 5974e2c894aff121223fdb80c77eea7bbc36313e | 0bc46ac67346d77c5bd01cff8fd98ea617efc708 | refs/heads/master | 2020-03-18T10:40:55.832062 | 2018-05-23T21:30:06 | 2018-05-23T21:30:06 | 133,974,170 | 0 | 0 | null | 2018-05-18T15:43:46 | 2018-05-18T15:43:45 | null | UTF-8 | Python | false | false | 75 | py | from .atari import create_atari_env
from .unity3d import create_unity3d_env | [
"louis-emile.robitaille@elementai.com"
] | louis-emile.robitaille@elementai.com |
c5e7d15d5d15185d551a3d9dcfd54449f26ac850 | 986a9c6a9463e029e33dfa564aeaabde1dc573c8 | /traffic_sign.py | af907a13df2fc8d470aefae12f80a555275d95a0 | [] | no_license | rushikeshkorde/Traffic-Signs-Classification | 15c1eda0261771cc8d5932305773bf9a1f6f1172 | 226deb010b5973c3b4d82fa09c69510a75542241 | refs/heads/master | 2022-08-16T01:54:48.752862 | 2020-05-31T14:13:22 | 2020-05-31T14:13:22 | 267,787,807 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,218 | py | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import cv2
import tensorflow as tf
from PIL import Image
import os
from sklearn.model_selection import train_test_split
from keras.utils import to_categorical
from keras.models import Sequential, load_model
from keras.layers import Conv2... | [
"noreply@github.com"
] | rushikeshkorde.noreply@github.com |
1fff2c19c3e1dc938c736276b810be8d34a5d060 | 7cfbeaa4fe1cdf8e90e4c42fe575a3b76cbf64ab | /setup.py | 193d68ce2b3f00e87fe2c3aacbab22886d5bf1a4 | [
"MIT"
] | permissive | keans/timecache | dac029b51e63fdbb6afa03ee33b8b08806a34993 | 9355e8b155e8071860942303ad364d719742eb78 | refs/heads/master | 2020-03-27T19:29:37.022521 | 2018-09-02T17:25:25 | 2018-09-02T17:25:25 | 146,992,718 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,124 | py | from setuptools import setup, find_packages
import codecs
import os
# get current directory
here = os.path.abspath(os.path.dirname(__file__))
def get_long_description():
"""
get long description from README.rst file
"""
with codecs.open(os.path.join(here, "README.rst"), "r", "utf-8") as f:
re... | [
"keans@gmx.de"
] | keans@gmx.de |
8d9e1c544ea7627b9c50bc0bde5e458f4f1713df | 4293afea6240e2216eb5ed79579de1bc999b25ff | /TextViewer/icon.py | 985e10764f34b730212cdbb9f4360ee18a5b471d | [] | no_license | zoemurmure/TextViewer | 3df1737ed3b836ff89e1d5b018dd722e097ea4fc | f9ee29cfc8d15d440a74d2a6211db37d87738ba7 | refs/heads/master | 2022-11-23T14:11:38.247111 | 2020-07-31T08:01:46 | 2020-07-31T08:01:46 | 272,883,299 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 22,619 | py | img=b'AAABAAEAQEAAAAEAIAAoQgAAFgAAACgAAABAAAAAgAAAAAEAIAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPb29iL29vaP9vb20/X19fX29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9vb1//b29f/29vX/9v... | [
"zoemurmure@gmail.com"
] | zoemurmure@gmail.com |
c3bbb5738b81da3295cb82f51894e74b8553f71b | 7765c093fbfaebc3328f8500db2e462977ac42a5 | /sqlite/sample.py | f4dc2f38f85c48f038a9b6f853da204c4bf0df63 | [] | no_license | iamkamleshrangi/datascience | e118e41591850f24438aa344100a07737490fd29 | 7add9501c3ac75323e94df5351e2baf6cadb73ae | refs/heads/master | 2022-02-02T20:19:20.986813 | 2018-07-23T13:26:37 | 2018-07-23T13:26:37 | 128,158,552 | 0 | 0 | null | 2022-01-21T04:26:26 | 2018-04-05T04:22:15 | Python | UTF-8 | Python | false | false | 358 | py | # Create engine: engine
engine = create_engine('sqlite:///Chinook.sqlite')
# Open engine in context manager
with engine.connect() as con:
rs = con.execute('select * from Employee order by BirthDate asc')
df = pd.DataFrame(rs.fetchall())
# Set the DataFrame's column names
df.columns = rs.keys()
# Prin... | [
"iamkamleshrangi@gmail.com"
] | iamkamleshrangi@gmail.com |
412e272a77c61d7b9f5a0c1f4eeb2a6cdd56efbc | 09f175c759b0c798c1f5605b1720f9571fb5d4aa | /app/main.py | 451951e6016c9e0931d8a05daedf417eb3c471de | [] | no_license | dparker2/internet-trends | 5fe13172fd9bdb5b7d557435e4f699245b47d7df | 1e778c4d52140d1d0f92523ef2608eb623f75bc9 | refs/heads/master | 2022-02-25T00:34:40.988473 | 2019-10-14T06:47:01 | 2019-10-14T06:47:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 181 | py | import falcon
from app.resources.html import HTMLResource
print("PRINTED")
app = falcon.API()
HTML_resource = HTMLResource()
app.add_route("/", HTML_resource, suffix="index")
| [
"crazdave@gmail.com"
] | crazdave@gmail.com |
1701c7e4aa7e3cded6d76cdf36ae3df50910147a | 7cbcfc334d0c99b7c2a4740de26bebce42907362 | /1.6. Input print:Hour and minutes.py | a0647d328fb61a693e8d1e043a43ec06b77e6910 | [] | no_license | YukPathy/100-days-of-code | 55603bb80a22fcfdbc1751e1bc7ee5884faa0ddc | 959ed06064c5955fb15d9ceed68c449881c59062 | refs/heads/master | 2020-07-01T14:04:34.627510 | 2019-08-06T15:29:10 | 2019-08-06T15:29:10 | 201,191,395 | 0 | 0 | null | 2019-08-08T06:20:11 | 2019-08-08T06:20:11 | null | UTF-8 | Python | false | false | 107 | py | # Read an integer:
a = int(input())
#Print a value:
h=a//3600;
m = (a//60)
# print(a)
print(str(h),str(m))
| [
"noreply@github.com"
] | YukPathy.noreply@github.com |
0fe975cae36d9d31d2e48d6d1cdbcfdd27ce3810 | 25687385836b292ee8d92f855782f2b98cc6b500 | /operator_app/consumers.py | e9f2f2bff1b32712d7dd117bf59c2cf75f270559 | [] | no_license | Konbini-shubham/Konbini | 3b9e2f11ef198aaad3347265f3c317766d2a51f6 | 85d3c2cc75e3bc6294adf57bd77b2589bb58cf81 | refs/heads/master | 2020-05-30T08:41:07.990166 | 2016-06-01T04:56:40 | 2016-06-01T04:56:40 | 59,843,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 792 | py | from channels.sessions import channel_session
from channels import Group
from urllib.parse import urlparse, parse_qs
import pprint
pp = pprint.PrettyPrinter(indent=4)
@channel_session
def ws_connect(message):
query_parameters = parse_qs(message.content['query_string'])
machine_id = query_parameters['id'][0]
Group(... | [
"shubhamjigoyal@gmail.com"
] | shubhamjigoyal@gmail.com |
04bb08d4b13fe38a056228962344ffdfb9bf975a | 92e09d003c43662f8452f8445fdc793b60406670 | /Python/python 爬虫/Maoyantop100/spider.py | 634c40a7994be216c33dcb259f6c60942d2ac138 | [] | no_license | WangJian1314/python_spider | 63f9bd98c8f6618aeb3b6f51e6a49563cb3e6066 | 6d0394b560a556df8dca1388dfa6182475ef885b | refs/heads/master | 2020-06-02T22:50:36.577067 | 2019-04-20T09:02:51 | 2019-04-20T09:02:51 | 191,334,030 | 1 | 0 | null | 2019-06-11T09:03:54 | 2019-06-11T09:03:53 | null | UTF-8 | Python | false | false | 1,578 | py | import json
from multiprocessing import Pool
import requests
import re
from requests.exceptions import RequestException
def get_one_page(url):
try:
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.162 Safari/537.3... | [
"303061411@qq.com"
] | 303061411@qq.com |
11e111e1dce4624067f7d5607b2f5bc263d234b6 | 152b31f0da5899569c1e30cec9c901ff9ef0a231 | /pythonHelloWord.py | 2233b8c7bdddf33dd1af56c9defa2c7bc478b431 | [] | no_license | lindaTest01/withIgnorefile | acf80a5d91c054847220455d4888012544595980 | cd2c75065ad6cc9417db9be300ec0fd83ee524cf | refs/heads/master | 2022-11-11T07:18:20.756362 | 2020-07-06T08:51:07 | 2020-07-06T08:51:07 | 276,827,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py | # -*- coding: UTF-8 -*-
# Filename : helloworld.py
# author by : www.runoob.com
# 该实例输出 Hello World!
print('Hello World!')
| [
"noreply@github.com"
] | lindaTest01.noreply@github.com |
551d0de7166a4b76fbeb42575292be18fcab560f | ba6923aa77c6abeb4428f071528c5a36a7000732 | /ChangeTheWorld/AndAgainAndAgainAndAgainAndAgainAndAgainAndAgain.py | 4b68c7de0db1b0c9188d8f77a3399c7851033194 | [] | no_license | page2me/IT-Xtoberfest2021 | 8522c81a0159dd1de377a8825c0b2f27b84d0be1 | 7b39b819d4815a4840b62a4782b3672472cf9a0a | refs/heads/main | 2023-08-27T13:50:21.420977 | 2021-10-30T18:50:06 | 2021-10-30T18:50:06 | 420,277,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 436 | py | """Func"""
def func(text):
"""AndAgainAndAgainAndAgainAndAgainAndAgainAndAgain"""
answer = []
for i in text:
counter = 0
counter += i.count("a") + i.count("e") + i.count("i") + i.count("o") + i.count("u")
if counter >= 2:
answer.append(i)
answer.sort()
if len(ans... | [
"earth_killerdark@hotmail.com"
] | earth_killerdark@hotmail.com |
231208107ccc0ef9cd28b169c0c9c14596a48d32 | f93f0936ce11e0e4f7fbda66c6921a3fdc481e10 | /scrapy_aishanghai/aishanghai/aishanghai/middlewares.py | 8ad154919e9f8ccbfd798039d80d90046a13a393 | [] | no_license | leiyanhui/leiyh_projects | 11c827ea4b68040ba73022ade6b47da08bd7161a | 8e33be618f5078d08dec92475bf70ba1fb94ff67 | refs/heads/master | 2020-03-23T22:19:53.547259 | 2018-09-11T12:32:39 | 2018-09-11T12:32:39 | 142,169,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,605 | py | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class AishanghaiSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scra... | [
"18817380161@163.com"
] | 18817380161@163.com |
af38ecfee37543b5b56fdeb4ae4fe169f1676baa | ea4b8ad32345a94ec1c566c30efb4dfc9fd46b8e | /GeoGossip/webapps/geogossip/tests.py | 7b788d76bdb245e32e179aac540d6504c253de3b | [] | no_license | yyi1/GeoGossip | 76e09b585c0a765485547560def4b2f9aa407777 | 99fa1d06c4f26ad1f0ab8b1c007ab2d54d3cc56f | refs/heads/master | 2020-04-06T04:21:46.476790 | 2017-02-25T04:45:26 | 2017-02-25T04:45:26 | 82,977,730 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,040 | py | from django.test import TestCase
from django.test import Client
from django.contrib.auth import authenticate
from models import User
# Create your tests here.
class EndToEndTest(TestCase):
def setUp(self):
super(EndToEndTest, self).setUp()
self.client = Client()
self.user = User.objects.cr... | [
"yyi1@andrew.cmu.edu"
] | yyi1@andrew.cmu.edu |
28afd10dd4bf86cc9fc12239cac8891a7b46c5df | a9243f735f6bb113b18aa939898a97725c358a6d | /0.12/_downloads/plot_time_frequency_mixed_norm_inverse.py | 65ac593e852afd7ae0cd4471a6c573000a16b131 | [] | permissive | massich/mne-tools.github.io | 9eaf5edccb4c35831400b03278bb8c2321774ef2 | 95650593ba0eca4ff8257ebcbdf05731038d8d4e | refs/heads/master | 2020-04-07T08:55:46.850530 | 2019-09-24T12:26:02 | 2019-09-24T12:26:02 | 158,233,630 | 0 | 0 | BSD-3-Clause | 2018-11-19T14:06:16 | 2018-11-19T14:06:16 | null | UTF-8 | Python | false | false | 4,959 | py | """
=============================================
Compute MxNE with time-frequency sparse prior
=============================================
The TF-MxNE solver is a distributed inverse method (like dSPM or sLORETA)
that promotes focal (sparse) sources (such as dipole fitting techniques).
The benefit of this approach ... | [
"larson.eric.d@gmail.com"
] | larson.eric.d@gmail.com |
9b9bf9b3e9aaeb11ed05526758f3d5fb48fab438 | 09b41a5db055eccee47aba8b305c25515d303793 | /title_test.py | f84ee707d3e011be6b95904389fbf36cf84834ed | [
"Apache-2.0"
] | permissive | ishansd94/travisci-test | 1c83638f8576a931d7776394ee9926b8c7cf07bc | 2edd64e655f8536bddd9655992d1397a10835ed7 | refs/heads/master | 2020-03-30T09:09:52.755411 | 2018-10-01T11:36:52 | 2018-10-01T11:36:52 | 151,063,228 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 239 | py | import unittest
from title import convert
class TestConvert(unittest.TestCase):
def test_convert(self):
str = convert("hello world")
self.assertEqual(str, "Hello World")
if __name__ == '__main__':
unittest.main() | [
"ishan.dassanayake@pearson.com"
] | ishan.dassanayake@pearson.com |
2f4b33789431edee4986b09ab5ab538d8efb35ac | 10914bad0901b0e9d0233418f850050b23fe4da2 | /models/pretrained_mobilenet.py | 34aa6ef8eeb074987ccbbc850e52d60e7e50dc2f | [] | no_license | wQuole/image_classifier | 3ced4f48bdef555eaf07858a56c56930ca3f39b3 | 7ebd1794381902ddb316161d4778cb84a3cc0b13 | refs/heads/master | 2022-09-09T08:22:41.818211 | 2020-05-31T17:50:43 | 2020-05-31T17:50:43 | 267,560,900 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,289 | py | from tensorflow.keras.applications import MobileNetV2
from tensorflow.keras.models import Sequential
from tensorflow.keras.optimizers import RMSprop
from tensorflow.keras.losses import BinaryCrossentropy
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Dropout, Flatten, Dense, Activation, GlobalAveragePooling2... | [
"wgkvaale@gmail.com"
] | wgkvaale@gmail.com |
b548eedfdd00fe7c08f5ba00618fbe44e0cba7df | 2bdedcda705f6dcf45a1e9a090377f892bcb58bb | /src/main/output/pipeline/service_group/number_office/time/fact.py | e3cbfccb649de7dbf84162e340a4f0fe1510ddd6 | [] | no_license | matkosoric/GenericNameTesting | 860a22af1098dda9ea9e24a1fc681bb728aa2d69 | 03f4a38229c28bc6d83258e5a84fce4b189d5f00 | refs/heads/master | 2021-01-08T22:35:20.022350 | 2020-02-21T11:28:21 | 2020-02-21T11:28:21 | 242,123,053 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,575 | py | package textTranslator;
import java.io.*;
import java.net.*;
import java.util.*;
import com.google.gson.*;
import com.squareup.okhttp.*;
public class Translate {
String subscriptionKey = 'b58103fec253e2c21b0fdc1a24e16352';
String url = "https://api.cognitive.microsofttranslator.com/translate?api-version=3.0... | [
"soric.matko@gmail.com"
] | soric.matko@gmail.com |
92bce89e8eb6178bc209f07bc8b16f2f963e3867 | 20b47d5a51508cbcb8cd57f950e1d0c6f679b71c | /education.py | 0a28a7aef18e8dec4b013e26cccebcc1862c4daf | [] | no_license | amycbaker/Thinkful_Assignments | 91722e60d08022387009548e0849d69b6fa04327 | 46d14e50c25f01bfe857f4620771253a559f2f6f | refs/heads/master | 2021-01-19T23:42:30.374995 | 2017-06-13T04:05:00 | 2017-06-13T04:05:00 | 89,014,116 | 0 | 0 | null | 2017-05-17T16:30:58 | 2017-04-21T18:48:20 | Python | UTF-8 | Python | false | false | 2,696 | py | from bs4 import BeautifulSoup
import requests
import pandas as pd
import csv
import sqlite3 as lite
import statsmodels.formula.api as smf
import math
# store url for school years
url = "http://web.archive.org/web/20110514112442/http://unstats.un.org/unsd/demographic/products/socind/education.htm"
# get the... | [
"amybaker@gmail.com"
] | amybaker@gmail.com |
4e58c678d8ebf19f2a3b0ab83528aa49d5f251d1 | 4d0472bcb230cf060e31e0d5320f3de2f5e9e55e | /train_generator.py | fd3098f5830fbb894befa01558bb81b18581e701 | [] | no_license | sharadmv/CharacterGAN | 7b9d37d8515978655084ea815b714596e3d5adc7 | 4a0253102f23313a5ee72a09f938c64a220fe6b8 | refs/heads/master | 2021-01-15T21:14:26.016372 | 2016-03-01T02:06:08 | 2016-03-01T02:06:08 | 52,777,523 | 0 | 0 | null | 2016-02-29T08:57:04 | 2016-02-29T08:57:03 | null | UTF-8 | Python | false | false | 5,040 | py | import numpy as np
import cPickle as pickle
import theano
import sys
import csv
import logging
import random
from dataset import *
from deepx.nn import *
from deepx.rnn import *
from deepx.loss import *
from deepx.optimize import *
from argparse import ArgumentParser
theano.config.on_unused_input = 'ignore'
logging.ba... | [
"liam.fedus@gmail.com"
] | liam.fedus@gmail.com |
bde1909ef256bb98db99f9655bb6c8af594fcd1c | f3dc7c8ab38e3affaacbc05179aa30d14589adf1 | /SOLA.py | e51c3c4172777cf5b63909b718772f4a7582392f | [] | no_license | jishnub/moccasin | fa2c6ffd7f42f99aacb9f4519a58017f37715fab | 3495cc82c70d8a62f2fda551b2d269b17f4efeef | refs/heads/master | 2020-03-18T07:34:39.901461 | 2019-01-21T11:02:12 | 2019-01-21T11:02:12 | 134,461,587 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,599 | py | from astropy.io import fits
import numpy as np; import array
import matplotlib.pyplot as plt
from matplotlib import cm
import scipy
import math
from numpy.linalg import inv
import numpy.matlib
def dfac(n):
a = np.zeros_like(n)
for j in range(0,n.size):
a[j] = np.prod(np.arange(n[j],1,-2))
return a
d... | [
"hanasoge@gmail.com"
] | hanasoge@gmail.com |
dfee4727ac0ae042e9312e84a9fcd32b98b17fc0 | 81c0dcb009cd30e12e6948b90a0a2ff71fa88d98 | /word/index.py | 9474bdb8bd374a2cdc94a2b0ad6775e1490590af | [] | no_license | function2-llx/IR-system | c4bc3b5a84f693c2c62b03979adea39601cb09c9 | 8b40e8c9637e1d5d3665df48670a9095f4027665 | refs/heads/master | 2023-02-09T03:25:45.723609 | 2021-01-01T16:14:36 | 2021-01-01T16:14:36 | 311,276,530 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 845 | py | import json
from tqdm import tqdm
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
client = Elasticsearch()
inner_sep = '\t'
token_sep = ' '
if __name__ == '__main__':
corpus = json.load(open('sample.json'))
chunk_size = 1000
for i in tqdm(range(0, len(corpus), chunk_size))... | [
"function2@qq.com"
] | function2@qq.com |
49bbf912ea16d6bf259a39904154cc010346a28a | 687306842e8082ed1c31441bbacf697352fe1d22 | /design.py | b7a6d0ecdb4066f6d35c6bb75f544e667966a54e | [] | no_license | Garyguo2011/Firewall | a77940d6fa0957fb2c2811cfcc5fa3c3b8982209 | 0906e947853c14b0a04fcccfd350202405b1c8f5 | refs/heads/master | 2020-05-21T11:37:02.562484 | 2014-12-03T15:45:44 | 2014-12-03T15:45:44 | 26,337,718 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321 | py | class DNSArchive(Archive):
def __init__(self, ....):
self.app = "dns"
self.domainName
class TCPArchive (Archive):
def __init__(self, packet)
class Archive(object):
def __init__(self, ....):
self.direction
self.protocol
self.externalIP
self.countryCode
self.packet
self.matchRules
# Control Plane... | [
"xguo@berkeley.edu"
] | xguo@berkeley.edu |
40ce5ec818cd4be194c39a8e93b7069f16945d43 | 1ec2e018d63d15486110aea7923ffbbf62ecbd5b | /SVM_classification__.py | a6893ea17659bb15ef9207d6898ec74c58171c78 | [] | no_license | DDeman/svm | 88f51cefed530821e5a13df259602bf3c67f0128 | 743c6edcbd12a34ffc45dd43ef97c36792d308ac | refs/heads/master | 2021-05-24T17:04:42.727047 | 2020-04-07T02:39:47 | 2020-04-07T02:39:47 | 253,668,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,489 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
__title__ = ''
__author__ = '任晓光'
__mtime__ = '2020/4/3'
# code is far away from bugs with the god animal protecting
I love animals. They taste delicious.
┏┓ ┏┓
┏┛┻━━━┛┻┓
┃ ☃ ┃
┃ ┳┛ ┗┳ ┃
... | [
"rxg15506009565"
] | rxg15506009565 |
df6c20b6c5095c0d72d68b742ed9c6b48614b69e | 73de83162fd26ea60b0d07a3bb0a9ced63499d43 | /scripts/show_result.py | f1fd3005a1e8db8cd77c90185924775cb3cb8c28 | [
"GPL-3.0-or-later",
"MIT"
] | permissive | Geonhee-LEE/PythonLinearNonlinearControl | fa6c3dec2a7234ddb182388ac2e21074162e2155 | 2a2467098108641483778c09ceb7906cb49f6cee | refs/heads/master | 2023-07-10T03:48:45.566076 | 2021-08-21T12:55:30 | 2021-08-21T12:55:30 | 276,524,383 | 0 | 0 | MIT | 2020-07-02T02:00:18 | 2020-07-02T02:00:17 | null | UTF-8 | Python | false | false | 1,636 | py | import os
import argparse
import pickle
import numpy as np
import matplotlib.pyplot as plt
from PythonLinearNonlinearControl.plotters.plot_func import load_plot_data, \
plot_multi_result
def run(args):
controllers = ["iLQR", "DDP", "CEM", "MPPI"]
history_xs = None
history_us = None
history_gs ... | [
"quick1st97@gmail.com"
] | quick1st97@gmail.com |
ea9db589734e38f7ee6202aef62fb859d876b357 | 05f7f004ccd926c1611dc03473e0778d8c332e14 | /lcmf_projects/bond_click.py | c44ffa7db70e91bd17ff2cafe6c8693d6261a9f2 | [] | no_license | tongch8819/lcmf_projects | 06cd875e5b001a871cc11cdc8cf45a32f7faa105 | a7243aee94da9bbf9651e1365351c5b4ef364b80 | refs/heads/master | 2022-04-04T22:15:26.726761 | 2020-02-24T03:51:23 | 2020-02-24T03:51:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,807 | py | import numpy as np
import click
from scipy import optimize
@click.command()
@click.option('--coefficients', default=(1,0,2), help='tuple for representation of polynomial')
def ployvalTest(coefficients: tuple =(1,0,2) ) -> str:
print('Input: ', coefficients)
res = np.polyval(coefficients, 1)
if res... | [
"tong.cheng.8819@outlook.com"
] | tong.cheng.8819@outlook.com |
d17b534e12aa0ac404011b7b2baf87061f771646 | 893e09a68b636a214a75745453fb73ce6c618472 | /lab9_b.py | 40c65fe61ff69a6f3d9df4d95b6f349c17210272 | [] | no_license | pavangabani/DAA_Lab | 241b33d4a13156c2adaa79e82e36140a7f6c3a99 | c3cb265e412ce77106507a8491c24fd38612939f | refs/heads/main | 2023-08-15T01:22:38.135604 | 2021-09-14T16:36:06 | 2021-09-14T16:36:06 | 406,445,915 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 360 | py | def lcs(X , Y):
m = len(X)
n = len(Y)
L = [[None]*(n+1) for i in range(m+1)]
for i in range(m+1):
for j in range(n+1):
if i == 0 or j == 0 :
L[i][j] = 0
elif X[i-1] == Y[j-1]:
L[i][j] = L[i-1][j-1]+1
else:
L[i][j] = max(L[i-1][j] , L[i][j-1])
return L[m][n]
x="pavan"
y="gabani"
a=... | [
"pavan.gabani@gmail.com"
] | pavan.gabani@gmail.com |
ae5a6526f090a8363d28b2f1de374b3d972022b0 | 5b256252d35410f7c3239b13d8aed801dc3ad0e8 | /More Exercises/city.py | 90fd5eda5f36e8d55273d3847aae6fc6ab996092 | [] | no_license | Nmazil-Dev/PythonCrashCoursePractice | d52d3f4585fbce18011720cc3cef83f095add526 | 7bf55dc8298e70ee4b5b5345e1171c188ea8bbda | refs/heads/master | 2020-04-27T09:56:22.937795 | 2019-03-06T23:15:05 | 2019-03-06T23:15:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 310 | py | def city_name(city, country, population=''):
if population == '':
name = city.title() + ', ' + country.title() + population
elif population != '':
name = city.title() + ', ' + country.title() + ' - population ' + str(population)
print (name)
city_name('brookfield', 'usa')
| [
"nmazil68@gmail.com"
] | nmazil68@gmail.com |
ffe965efd83b48d88452e41df5c8274713eac169 | ca565548206583a58fe8d646bfd9a6f1ba51c673 | /problem2.py | fa5313404ef249962fe28fa2f3edd13684ba5711 | [] | no_license | GLAU-TND/python-programming-assignment2-kirtimansinghcs19 | fbd772f38fa3546e579ffc2bdf99cc2b34e9937b | 5dc16c8b24186a2e00c749e14eecaac426f51e90 | refs/heads/master | 2021-01-13T22:51:02.990390 | 2020-02-23T16:32:51 | 2020-02-23T16:32:51 | 242,519,926 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 282 | py | from itertools import permutations
def largest(l):
lst=[]
for i in permutations(l, len(l)):
lst.append(''.join(map(str,i)))
return max(lst)
ls=[]
n=int(input('Enter the no element'))
for i in range(0,n):
ls.append(int(input()))
print(largest(ls))
| [
"noreply@github.com"
] | GLAU-TND.noreply@github.com |
201f42a6dc8b4593fc50814c1c71e25270c0c730 | 0318d24670acc083b67d27027961ba2e060857b4 | /naiveBayes_logisticRegression/utility.py | 455d08018463e44195b6d09999257d67ea39ffe2 | [] | no_license | HC15/Machine-Learning-Email-Classification | 7d4e4ef9c76d41884c29c72179f6df8f204529a7 | fe4945bc01ac9055aec143478d6bedaa8f71eda6 | refs/heads/master | 2020-03-08T04:00:52.183730 | 2018-05-07T15:30:57 | 2018-05-07T15:30:57 | 127,908,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,819 | py | from re import sub
from os import scandir
from nltk.stem import SnowballStemmer
from Classifier import Classifier
def normalize_text(text):
return sub("[^a-z]+", ' ', text.lower())
def read_data(directory_name):
data = {}
with scandir(directory_name) as data_directory:
for class_entry in data_d... | [
"harvc015@gmail.com"
] | harvc015@gmail.com |
48763a0aeba89cb486860a35c4917e5e2660d135 | 7393b48ff1a403d163812ae77321981586707733 | /email_dl_sep.py | b2a8ef3c378ad7ee7dfe35898484f5b8c67a5ccc | [] | no_license | playerdefault/littlethings | 7121754cc5174c407adeb3d49e5e2f5d7796276c | 5b0fb17f51a7e9179f5523492c44a7eed2f0e47e | refs/heads/master | 2021-07-05T08:05:28.183727 | 2020-08-27T06:41:43 | 2020-08-27T06:41:43 | 168,153,514 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 398 | py | # This program separates a list of semi-colon separated emails from a text file
# and prints out the number of emails
path = input(str("Enter the relative path of the file with the DL List: "))
DLListInputFile = open(path, 'r')
DLInput = DLListInputFile.read()
numberOfEmails = 0
for char in DLInput:
if(char==";"):
... | [
"swaraj.mohapatra@outlook.in"
] | swaraj.mohapatra@outlook.in |
142f68111255fe08b0cfa29a4378494361ef2c57 | 8ee5dcbdbd407eb5f294d430813b16eca22f571c | /data/HW5/hw5_253.py | 628a39851ed1f06194065eadcb2c20d9da276de9 | [] | no_license | MAPLE-Robot-Subgoaling/IPT | 5e60e2ee4d0a5688bc8711ceed953e76cd2ad5d9 | f512ea3324bfdceff8df63b4c7134b5fcbb0514e | refs/heads/master | 2021-01-11T12:31:00.939051 | 2018-08-13T23:24:19 | 2018-08-13T23:24:19 | 79,373,489 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 383 | py | def main():
width = int(input("please enter the width of the box "))
height = int(input("please enter the height of thebox "))
sym = input("please enter a symbol for the outline ")
fill = input("please enter a fill symbol ")
for h in range(height):
for w in range(width):
print(sym if h in(0,height-1) or w i... | [
"mneary1@umbc.edu"
] | mneary1@umbc.edu |
27a16c27e996906294903e01303e65e7a1d5d0ff | b0769f847d8f2c945f2552891ea7b48e2fad3a0f | /tweetTrend/bin/wheel | f7b6559dcc982dc09a8bff038e4c0507de0ea03c | [] | no_license | jiayangli2/twittmap | b808090acd66a6533e7e17a818512d9a01912632 | 772b9a868c0a9a0fe52c87bae77d43bc71fd9003 | refs/heads/master | 2021-03-22T01:27:09.600457 | 2017-04-09T20:38:37 | 2017-04-09T20:38:37 | 84,241,520 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 252 | #!/home/emmittxu/Desktop/TweetTrend/tweetTrend/bin/python2
# -*- coding: utf-8 -*-
import re
import sys
from wheel.tool import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"gx2127@columbia.edu"
] | gx2127@columbia.edu | |
fd6b8c1a24799e9d64be437cb85b6a6c16c1e23c | 9fe79da67efcd12cae6c61ea360960a87e8fe805 | /web/urls.py | b7afe9636b634ea342a3349487fb98dd5bac0c64 | [] | no_license | ZuiYee/EducationSystem | 00abaa482c393c1b50dac598d4b3ddfdd6268cd7 | 07bf141ea4c213d966105273d3feb9ad997f556f | refs/heads/master | 2020-04-09T23:42:44.673994 | 2019-01-13T06:14:17 | 2019-01-13T06:14:17 | 160,663,085 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | from django.conf.urls import url
from . import views
app_name = 'web'
urlpatterns = [
url(r'^studentProfile/', views.studentProfile, name='studentProfile'),
url(r'^teacherProfile/', views.teacherProfile, name='teacherProfile'),
url(r'^studentparseresult/', views.studentparseresult, name='studentparseresul... | [
"39691460+ZuiYee@users.noreply.github.com"
] | 39691460+ZuiYee@users.noreply.github.com |
0fe08899b3a8f27f944baf7bfb39b3fcdf8ebdff | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/synapse/azure-synapse-accesscontrol/azure/synapse/accesscontrol/aio/__init__.py | 8eafa989fcbc836fcc407acd2ea0859726442db7 | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
] | permissive | Azure/azure-sdk-for-python | 02e3838e53a33d8ba27e9bcc22bd84e790e4ca7c | c2ca191e736bb06bfbbbc9493e8325763ba990bb | refs/heads/main | 2023-09-06T09:30:13.135012 | 2023-09-06T01:08:06 | 2023-09-06T01:08:06 | 4,127,088 | 4,046 | 2,755 | MIT | 2023-09-14T21:48:49 | 2012-04-24T16:46:12 | Python | UTF-8 | Python | false | false | 558 | 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"
] | Azure.noreply@github.com |
49e35d732d050a8de37689f7459907f5c429e2fa | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/request/AlipayCloudDevopsDictQueryRequest.py | 980977a75413bdc34d657ea1e8ece1c6b0ddb700 | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 3,955 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayCloudDevopsDictQueryModel import AlipayCloudDevopsDictQueryModel
class AlipayCloudDevopsDictQueryRequest(object):
def __i... | [
"jishupei.jsp@alibaba-inc.com"
] | jishupei.jsp@alibaba-inc.com |
457107eadcf898c5b73e8308dd0dda559a8e82c0 | 1eefc1fc19dd4b0ded6eaad75d232450d00e0eba | /bench/pya.py | e72d2be49042f8110990e00bb7955677fd30d4af | [
"MIT"
] | permissive | pskopnik/apq | 2dbfa3e56c6e5c836b9d38a9e4b6bdf2f83eb44a | 827e722ec604d2f7c050f43748136613c3cd3d70 | refs/heads/master | 2021-07-07T08:32:40.204240 | 2020-02-12T13:33:41 | 2020-02-12T13:33:41 | 237,626,912 | 4 | 1 | MIT | 2021-04-20T19:28:42 | 2020-02-01T14:31:05 | Python | UTF-8 | Python | false | false | 2,319 | py | from . import bench, BenchTimer, main_bench_registered
from .utils import StringSource
from .py.keyedpq_a import PyKeyedPQA
from random import random as random_01
@bench()
def bench_add(b: BenchTimer) -> None:
s = StringSource()
s_offset = StringSource()
pq: PyKeyedPQA[str, None] = PyKeyedPQA()
for _... | [
"paul@skopnik.me"
] | paul@skopnik.me |
87eea3930704d7e2f8216d0c4e219c57beb148a0 | f6973cc740981bf4ce80b5d1dc8e12f90d38ef42 | /XDG_CACHE_HOME/Microsoft/Python Language Server/stubs.v1/sOkxR-HicgX79sgQZAyBR1W09XbOY-yF9DMdXi8nVww=/rwobject.cpython-36m-x86_64-linux-gnu.pyi | fdf731a3699e1443db437aea28576483fb0d807e | [] | no_license | fdr896/Trumper-Jumper | 88783cf97979a0e9f8d2a3f64c606a67d4dd1719 | 77f813b7267451f3156cf6bddad76081c29a25f0 | refs/heads/master | 2020-06-02T08:41:50.978639 | 2019-06-10T05:36:24 | 2019-06-10T05:36:24 | 191,102,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | pyi | pygame 1.9.4
Hello from the pygame community. https://www.pygame.org/contribute.html
import builtins as _mod_builtins
_PYGAME_C_API = _mod_builtins.PyCapsule()
__doc__ = 'SDL_RWops support'
__file__ = '/home/fed/.local/lib/python3.6/site-packages/pygame/rwobject.cpython-36m-x86_64-linux-gnu.so'
__name__ = 'pygame.rwob... | [
"fiosetrova@gmail.com"
] | fiosetrova@gmail.com |
cf3970f95cd0df134c66e7e2c608fab1e79e582a | 0031bd210e25f9602a8ee3cf581c44e8e8f3a00f | /Junior/COSC0023-Py/Exercise/数据画图.py | a0a7647e524821d9fb8ef041ddf829e2fe99deef | [
"MIT"
] | permissive | TiffanyChou21/University | d991d30cad3b28bb5abc929faa6d530219a1d844 | 9584fa6b052a59ce01a256efc77add5bbec68d98 | refs/heads/master | 2020-09-29T10:54:00.297491 | 2020-08-16T03:47:57 | 2020-08-16T03:47:57 | 227,021,880 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,043 | py | #!/usr/bin/env python
# coding: utf-8
# In[52]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import warnings
# plt.rcParams['font.sans-serif'] = [u'SimHei'] #显示不了中文放弃了不显示了
# plt.rcParams['axes.unicode_minus'] = False
warnings.filterwarnings('ignore')
pd.set_option('display.max_rows',None... | [
"TiffanyChou21@163.com"
] | TiffanyChou21@163.com |
379b155116a31b53d67b638b0922f8cf82ef99a4 | 6aef2fdd5b98038fc6ecc7551dd76dccf370c4ae | /without_variance/GPOMDP_SVRG_WV_ada_bv_wbas.py | 25116e70f8b7cc295ad1394c40f7e36f3d85bfe8 | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | Bobeye/rllab | 29b1cf3f29b748f93af4ac103d1a0eaa40290e7f | 53c0afb73f93c4a78ff21507914d7f7735c21ea9 | refs/heads/master | 2020-05-02T07:18:17.323566 | 2019-03-26T02:34:02 | 2019-03-26T02:34:02 | 177,814,299 | 0 | 0 | NOASSERTION | 2019-03-26T15:14:46 | 2019-03-26T15:14:45 | null | UTF-8 | Python | false | false | 18,229 | py | from rllab.envs.box2d.cartpole_env import CartpoleEnv
from rllab.policies.gaussian_mlp_policy import GaussianMLPPolicy
from rllab.envs.normalized_env import normalize
import numpy as np
import theano
import theano.tensor as TT
from rllab.sampler import parallel_sampler
from lasagne.updates import sgd
import mat... | [
"damiano.binaghi@gmail.com"
] | damiano.binaghi@gmail.com |
f2a89ce80fd4ce27424ff0a7e83f15dcf071cf2b | 4994d9e1e3bbf4fc3d2ce7b5f3a41b3d0ff1e165 | /lib/handle/StaticHandler.py | 053961a57bf511f3f79a3ace3ee78ea3d3c07234 | [
"MIT"
] | permissive | francoricci/sapspid | 228ab362c123cf3d28c9eab215f5daafe4aa293b | db335f2335824ba4f7aa7a01cd15c235bc815a47 | refs/heads/master | 2021-07-13T02:19:12.923503 | 2021-03-03T15:59:43 | 2021-03-03T15:59:43 | 97,124,842 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 212 | py | import response
class StaticFileHandler(response.StaticFileHandler):
def write_error(self, status_code, **kwargs):
super(StaticFileHandler, self).write_error(status_code, errorcode = '3', **kwargs) | [
"pippo@pippo.com"
] | pippo@pippo.com |
f8597c8ce3dfbc755d8bf76575047963a0ec8beb | 6c74c8babd2f94cbed185af75940774a2750f3e5 | /src/georinex/base.py | ccfff852795a64c572afd92589a410550c92cf2e | [
"MIT"
] | permissive | geospace-code/georinex | c28c8a17196bb1fa8093c818ce43bcb74ec52171 | c689a5a6bc2ffb68bc055f150f1da1b6bab12812 | refs/heads/main | 2023-04-13T15:01:50.903458 | 2022-12-27T19:25:58 | 2022-12-27T19:26:15 | 34,296,204 | 106 | 40 | MIT | 2023-04-10T02:54:45 | 2015-04-21T01:19:29 | Python | UTF-8 | Python | false | false | 7,148 | py | from __future__ import annotations
import typing as T
from pathlib import Path
import xarray
from datetime import datetime, timedelta
import logging
from .rio import rinexinfo
from .obs2 import rinexobs2
from .obs3 import rinexobs3
from .nav2 import rinexnav2
from .nav3 import rinexnav3
from .sp3 import load_sp3
from ... | [
"scivision@users.noreply.github.com"
] | scivision@users.noreply.github.com |
ee391734bbe1d920f7349971047cc74c0c565f36 | e9ef3cd143478660d098668a10e67544a42b5878 | /Lib/corpuscrawler/crawl_mpx.py | 71bb3a7ee49333cc9c4fc1cee863a89f398c5aa2 | [
"Apache-2.0"
] | permissive | google/corpuscrawler | a5c790c19b26e6397b768ce26cf12bbcb641eb90 | 10adaecf4ed5a7d0557c8e692c186023746eb001 | refs/heads/master | 2023-08-26T04:15:59.036883 | 2022-04-20T08:18:11 | 2022-04-20T08:18:11 | 102,909,145 | 119 | 40 | NOASSERTION | 2022-04-20T08:18:12 | 2017-09-08T22:21:03 | Python | UTF-8 | Python | false | false | 799 | py | # coding: utf-8
# Copyright 2017 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 agreed... | [
"sascha@brawer.ch"
] | sascha@brawer.ch |
e8d0823a474e0ac46065eca508bc73d8188113d9 | 29c4f16b2bd95203fc58f1b43ada634116aabb8d | /Customer.py | fa14e037618593e8a9bba2823b3fae772e9ee149 | [] | no_license | AlexandreGheraibia/banquePython | 2c715c7013c8cd89f87ce80fcadb63ce47830b76 | df2f1b79f8dd5219f65bd5cf0b9a249a12e11caa | refs/heads/master | 2020-03-22T01:06:23.046419 | 2018-06-30T22:27:29 | 2018-06-30T22:27:29 | 139,283,290 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 320 | py | class Customer:
def setId(this,id):
return id
def getId(this):
return this.id
def setName(this,name):
return name
def getName(this):
return this.name
def __init__(this):
return
def __init__(this,id,name):
this.id=id
this.name=name
| [
"gheraibia@hotmail.com"
] | gheraibia@hotmail.com |
3f80f32810fc412f915873a0c635f787b0603cd6 | 7f07515310c075c95033354a91f9f82557b98092 | /heatmap.py | cb8fd55587cb71d1707428b4f0ae92759ce9cb53 | [] | no_license | HegemanLab/VanKrevelen | 805d33e9e0515a1250fbb87f27b7d56af1de759f | ea82f284f3ade1b43adb6bc5041b5bb14c166c2f | refs/heads/master | 2020-04-16T23:39:22.636160 | 2016-08-17T17:54:16 | 2016-08-17T17:54:16 | 47,356,866 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,028 | py | '''
Thanks to jjguy @ http://jjguy.com/heatmap/
Minimal edits made to the original code, mostly just comments
'''
import ctypes
import os
import platform
import sys
from PIL import Image
import colorschemes
class Heatmap:
"""
Create heatmaps from a list of 2D coordinates.
Heatmap requires the Python I... | [
"roden026@umn.edu"
] | roden026@umn.edu |
b48d0fdf80d00e5128a64d51260df0314579ca35 | 4160b450b052830e17457a0412e29414f67caea5 | /order/migrations/0010_auto_20210822_0755.py | 295b200f20b97da9b7772cdca4c5ea7279ce3aaa | [] | no_license | mnogoruk/fastcustoms | 6ad7b058607ddf4d2b56a09e23e66fcfb43be1a7 | 4c3bf7f9f1d4af2851f957a084b6adc2b7b7f681 | refs/heads/master | 2023-08-23T15:54:08.415613 | 2021-10-31T12:21:29 | 2021-10-31T12:21:29 | 372,066,847 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 962 | py | # Generated by Django 3.2.3 on 2021-08-22 07:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('order', '0009_auto_20210821_2220'),
]
operations = [
migrations.AlterField(
model_name='orderagent',
name='comment',... | [
"danii.litvinenko@x5.ru"
] | danii.litvinenko@x5.ru |
4a80747e2268ca965179dddbee104338c66849bc | af65714ea99ea2a1edd6b372609f682399a7d64d | /your_app_name/manage.py | 5578a3e697c59017498982b4457f470dcf7b70f3 | [
"MIT"
] | permissive | gibeongideon/django-github-action-runner-CICD | fbfb81b94bbb4ccc93fc90cbc452695a4949a502 | ddf02176dc83e3f7ed4944f8f48207c944e33f18 | refs/heads/master | 2023-06-05T21:39:30.002833 | 2021-06-23T20:21:46 | 2021-06-23T20:21:46 | 379,716,569 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'your_app_name.settings')
try:
from django.core.management import execute_from_command_line
excep... | [
"kipngeno.gibeon@gmail.com"
] | kipngeno.gibeon@gmail.com |
e0c09849f0aec5951bf94adaa9bc3656ac75f05f | abc72a2f2072ab7a5a338e41d81c354324943b09 | /MC 102 (Exemplos de aula)/eliminar_repeticao.py | 55c15d25c81d25f12a60900b67da3c9af6354681 | [] | no_license | gigennari/mc102 | a3d39fd9a942c97ef477a9b59d7955f4269b202a | fce680d5188a8dfb0bc1832d6f430cbcaf68ef55 | refs/heads/master | 2023-04-05T01:40:58.839889 | 2020-07-27T20:33:56 | 2020-07-27T20:33:56 | 354,130,720 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py |
def eliminar_repeticao(lista1, lista2):
lista_sem_rep = []
freq_sem_rep = []
for i in range(len(lista1)):
if lista1[i] not in lista_sem_rep:
lista_sem_rep.append(lista1[i])
freq_sem_rep.append(lista2[i])
return lista_sem_rep, freq_sem_rep
def main():
lista1 = [3, 3,... | [
"g198010@dac.unicamp.br"
] | g198010@dac.unicamp.br |
f7ee63e6b92678782ec9da34b96b0addaf69997c | b9571590d8cc83a99293d777f57e5ebeea5bcc92 | /spiders/DoctorSpider.py | 1cc8539b8017fa62c7ea2ce5c7a731be27f7fec8 | [] | no_license | LiuQL2/Crawler_xywy_doctor_communication | 585a0a3230f397640e5fc54506cd6585bfd04f57 | 3374f08ea34ae8ea7e96501188a4fec247c72b5d | refs/heads/master | 2020-06-30T13:28:01.048195 | 2017-08-04T07:29:19 | 2017-08-04T07:29:19 | 74,369,626 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,508 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
用来获取病例和心得帖子内容的类，传入一个帖子的URL，调用不同的方法得到不同的数据。
"""
# Author: Liu Qianlong <LiuQL2@163.com>
# Date: 2016.12.08
import datetime
import json
import sys
import urllib2
from BaseSpider import BaseSpider
reload(sys)
sys.setdefaultencoding('utf-8')
class D... | [
"LiuQL2@sina.com"
] | LiuQL2@sina.com |
9691a7aad57450dba8acad44cb0105ff32ac9d5c | c171d1b819d599c294afe67d17f09f7ef5e358af | /Blind_Search/8_Puzzle_DFS.py | 088de9e8ec7e148eb1df2ea660d39d7c67ccbbe2 | [] | no_license | bawejagb/Artificial_Intelligence | 0e18e9f9cb0ee2663ae5d3ffd4ad9b2560295947 | 9caafe026e93cd50a0d01d3d83e079ce221c5a9d | refs/heads/main | 2023-04-21T19:20:49.713415 | 2021-05-04T15:54:48 | 2021-05-04T15:54:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,840 | py | '''
Q1- 8 puzzle problem
Made By: Gaurav Baweja, 102097005, CSE4
'''
import copy as cp
def Show(arr):
print("------")
for lis in arr:
for elm in lis:
print(elm,end="|")
print()
print("------")
def Position(val,arr):
for i in range(len(arr)):
for j in range(len(arr[... | [
"gaurav.baweja2508@gmail.com"
] | gaurav.baweja2508@gmail.com |
380e413c789d06c1d8c1e6b1304c9a37e8b030e3 | ec852d0c26ca2ebba40054cd2668db0ee990af69 | /2.py | 1a0edb5dff657f4e37b3a0835b97627531f12924 | [] | no_license | sadilet/xgboost-predictor | 61ecdd951d275f3e69a3741f1623c52c11cf4ed2 | e31c4bcdce995a7c1ffa3c4eaf8a2b7fb65b5861 | refs/heads/master | 2023-02-06T13:38:37.149240 | 2020-12-21T00:54:50 | 2020-12-21T00:54:50 | 321,763,828 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,292 | py | import datetime
import xgboost
import numpy as np
import xgboost_predictor
if __name__ == "__main__":
data = []
with open("tests/resources/data/agaricus.txt.0.test", "r") as f:
for line in f.readlines():
row = [0] * 126
for i in line.split(" ")[1:]:
f, v = i.s... | [
"wallstbrok@gmail.com"
] | wallstbrok@gmail.com |
e7e95d0bc9841ba1cce84f802176bbe2ef6d5e38 | 6c71226e2080c79a993fb086445c5af52b42bb95 | /randomForestRegression/random_forest_regression.py | 1df75f2bfa11cfc2b80c74e43cd52df35f2a8c6d | [] | no_license | ArakelyanEdgar/MachineLearningAlgorithms | 32f4046931d39cfacc58bd6c753031fd3af3d3aa | 07b64e83dafc9259f9a09aefcce07ca4b261b76f | refs/heads/master | 2020-03-08T13:27:31.750449 | 2018-04-05T04:27:44 | 2018-04-05T04:27:44 | 128,158,464 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,304 | py | # Random Forest Regression
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
# Importing the dataset
dataset = pd.read_csv('Position_Salaries.csv')
X = dataset.iloc[:, 1:2].values
y = dataset.iloc[:, 2].values
# Splitti... | [
"edgararakelyan123@gmail.com"
] | edgararakelyan123@gmail.com |
f9aedbea917b21ed89324565fef95311658ab4cb | a37d9f2ab27952dbc1fd3f394ce6f8f537bbee3a | /bnet/optimizers/__init__.py | 01323a07f36de3f988c1c8a9a500ab761d196794 | [] | no_license | dmbernaal/bnet-resnest-xresnet-mininets | d4b1739270bc0610550d4098f2db2756147f2c7c | b53248bc64e6cc1eca47a7770984066e38070045 | refs/heads/main | 2023-01-23T15:08:26.376580 | 2020-12-08T06:08:08 | 2020-12-08T06:08:08 | 319,539,625 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | from .adamod import AdaMod
from .deepmemory import DeepMemory
from .diffgrad import DiffGrad
from .diffmod import DiffMod
from .lookahead import Lookahead, LookaheadAdam
from .novograd import Novograd
from .ralamb import Ralamb
from .ranger import Ranger
from .rangerlars import RangerLars
from .adahessian import Adahes... | [
"dmbernaal@gmail.com"
] | dmbernaal@gmail.com |
d71180f0bd321d3d7193738b32581743b75440f3 | 3257372291236aac1737b057c9ac6c61da9ccca0 | /tutorials/W0D5_Statistics/solutions/W0D5_Tutorial2_Solution_281848de.py | 65dc66a635bd53e9c76bb3d72f597aebb3c00512 | [
"CC-BY-4.0",
"BSD-3-Clause",
"MIT"
] | permissive | NeuromatchAcademy/precourse | 230ead0d11ae7b0dba21c8df97695a1796e9797d | b7f2432c6a68a7984ca923ceed8e07d5cfdb77c3 | refs/heads/main | 2023-07-26T11:18:24.493966 | 2023-07-09T14:42:49 | 2023-07-09T14:42:49 | 256,327,558 | 639 | 174 | MIT | 2023-07-09T14:42:50 | 2020-04-16T20:54:03 | Jupyter Notebook | UTF-8 | Python | false | false | 621 | py |
""" You will learn more about "Bayesian brains" and the theory surrounding
these ideas once the course begins. Here is a brief explanation: it may
be ideal for human brains to implement Bayesian inference by integrating "prior"
information the brain has about the world (memories, prior knowledge, etc.) with
new eviden... | [
"noreply@github.com"
] | NeuromatchAcademy.noreply@github.com |
6f1626422bd5fe30a5d69e1a6033406a0eb15da8 | 74d962367e299eb2ffb827d78e88aea76c3ebabc | /manage.py | 6c8e8d2a9587f74e95b0d56e701e5076f0a97dec | [] | no_license | PauloViOS/flordodia | 8b40105f78ce5d4ff73b4a5e9fe4ef2402fc6c73 | b10ca10b882aba785a4ffd2e6a51d2cc16f59209 | refs/heads/master | 2023-03-06T16:14:59.815158 | 2021-02-23T13:55:28 | 2021-02-23T13:55:28 | 337,239,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 541 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "flordodia.settings")
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Ar... | [
"paulo.santos@buser.com.br"
] | paulo.santos@buser.com.br |
f19728bf8e40186ce8d1a8b60514928cac527607 | 51a48a4144ef3aabb354e75033293da45a813c8f | /sourceCodes/python/pfile/wrapper.py | b7c9f99060862916eef3125a38ab52e2f6a0a2ff | [] | no_license | melodi-lab/SGM | a53f79c8a0e4cbc7dd64f269002b6a0d49cd5d92 | 36d9b7b6f864ee93220c960065f8c7e216c5009c | refs/heads/master | 2020-04-05T23:11:23.626090 | 2017-06-19T23:30:40 | 2017-06-19T23:30:40 | 64,819,641 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,343 | py | #!/usr/bin/env python
#
# Copyright 2011 <fill in later>
__authors__ = [ 'Ajit Singh <ajit@ee.washington.edu>' ]
import os
import sys
import types
try:
import libpfile as lib
except ImportError:
dirname = os.path.dirname(__file__)
print >> sys.stderr, "Run make in %s to compile libpfile" % dirname
exi... | [
"baiwenruo@gmail.com"
] | baiwenruo@gmail.com |
b132f2782265b56e98b88f6df9aaaa8c85d5bddc | 0db8fad3d630899a1e8389349b047c2cabdb6a27 | /meiduo_mall/meiduo_mall/apps/orders/migrations/0002_auto_20190531_0919.py | 6168072e180c8d36de7f6d08fa9748ee6b9c8253 | [] | no_license | zhujian2019/Django_Frontend | 30123b8e20a9e0fc6b48b49433c22744cd1aa9d1 | ee8fa8385487ee96b309f8230928e5945ddc5c86 | refs/heads/master | 2020-06-04T19:46:17.733452 | 2019-06-16T08:38:14 | 2019-06-16T08:38:14 | 192,167,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 420 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2019-05-31 09:19
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('orders', '0001_initial'),
]
operations = [
migrations.RenameField(
mod... | [
"zhujian_work@163.com"
] | zhujian_work@163.com |
5bc51ef0a70eeafa727c3a43c4b2b701625f00af | 07f54a15cc10ec715da0864901485d6282f13cae | /Lessons/ex10.py | 397a1a8c699589e535b37706c1aedff31d50643c | [] | no_license | levelupcode/LearnPythonTheHardWay | 4d7604c065f90f7ea63919a8994e04330a4aa309 | 88dcb4ec00a5d59769a1888b9b72c1968de8e943 | refs/heads/master | 2021-01-22T13:13:03.308266 | 2013-01-03T18:18:06 | 2013-01-03T18:18:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 462 | py | # Part 1
"I am 6'2\" tall." # Escape double-quote inside string
'I am 6\'2" Tall.' # Escape single-quote inside string
# Part 2
tabby_cat = "\tI'm tabben in."
persian_cat = "I'm split\non a line."
backslash_cat = "I'm \\ a \\ cat."
fat_cat = """
I'l do a list:
\t* Cat Food
\t* Fishies
\t* Catnip\n\t* Grass
"""
pri... | [
"levelupcode@gmail.com"
] | levelupcode@gmail.com |
50c2dde48b456f93aa0260584ded425981eeb60e | e7e029a04319afce21c43317e2cc8f3dc92091ca | /pex/commands/command.py | 2104e893ca0f0b603d42816941bd46692371ae1a | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | asherf/pex | e451b28a088968736e47285396813f6a2b4c6058 | c15508ad1a2d48bdef9fbac677dbfa32927e6625 | refs/heads/master | 2022-07-22T23:01:48.331316 | 2022-07-05T14:41:35 | 2022-07-05T14:41:35 | 237,337,647 | 0 | 0 | Apache-2.0 | 2020-01-31T01:12:31 | 2020-01-31T01:12:30 | null | UTF-8 | Python | false | false | 13,469 | py | # Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import absolute_import, print_function
import functools
import json
import logging
import os
import subprocess
import sys
import tempfile
from argparse import ArgumentDefa... | [
"noreply@github.com"
] | asherf.noreply@github.com |
f369d5667a7f0255f82296fbbee935075af34b7e | 7b5ec17918cb2328d53bf2edd876c153af26b38d | /scripts/ingestors/rwis/process_idot_awos.py | c29e696ecbcafd40fb720a5612021a2b033ca115 | [
"MIT"
] | permissive | Xawwell/iem | 78e62f749661f3ba292327f82acf4ef0f0c8d55b | 88177cc096b9a66d1bd51633fea448585b5e6573 | refs/heads/master | 2020-09-06T09:03:54.174221 | 2019-11-08T03:23:44 | 2019-11-08T03:23:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,063 | py | """Process AWOS METAR file"""
from __future__ import print_function
import re
import sys
import os
import datetime
import ftplib
import subprocess
import tempfile
from io import StringIO
from pyiem import util
INCOMING = "/mesonet/data/incoming"
def fetch_files():
"""Fetch files """
props = util.get_propert... | [
"akrherz@iastate.edu"
] | akrherz@iastate.edu |
7832dae5c8c8d4af7c3fe58a5174a5722ceeaa14 | 00ca311d3dccb4ffe4d2e1cd88c98cab699d26a0 | /hk.py | e91e776e17f03d58ddd559c02a0a0df1abde908c | [] | no_license | y1212/myslite | e13bfb11a4189a75b1bd5d062b8cb48ef70de1c8 | 74e35bd04f9ac8c0a7fd1a3eb68ee3311f6adff9 | refs/heads/master | 2020-12-13T06:05:52.774554 | 2020-01-16T11:14:24 | 2020-01-16T11:14:24 | 234,330,553 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,428 | py | #setence="ls , aa, cnm, sb"
# var=input("please input:")
# if var in setence:
# setence=setence.replace("cnm","*")
# print(setence)
#
# tuple=(1,2,3)
# list1=list(tuple[1])
# print(list1,type(list1))
# c,s =" ", "this is my house"
# d=s.split()
# d.reverse()
# for e in d:
# c=c+e+" "
# print(c.lstrip())
# l... | [
"59354787+y1212@users.noreply.github.com"
] | 59354787+y1212@users.noreply.github.com |
1fe976ca0106beea3c9fdf4f4b31055726c1d3f6 | 61cefb212b04fdcd3ab3e36374104f7eb9aeab75 | /gym_rover/state/agent.py | cd7a3be00fb7e82f143279bf6667f2d83e2934bf | [
"MIT"
] | permissive | eklinkhammer/gym-rover | 8df6297218c1a22c42273861e68aeb342d3a63a4 | 38ed96f6f7ea4e5fed4432cb3967d2317caf145e | refs/heads/master | 2021-01-20T02:25:14.158595 | 2018-03-20T01:24:05 | 2018-03-20T01:24:05 | 89,403,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,057 | py | import sys
import random
import numpy as np
class Agent(object):
""" Agent is a rover that moves in either a discrete or continuous
action space
"""
def __init__(self, loc, uuid=None):
""" Creates an Agent at position with a unique id.
Args:
loc (length 2 np array): ... | [
"eklinkhammer@gmail.com"
] | eklinkhammer@gmail.com |
d9d53fa77c4f2dfbb4ae777a99cd4e7040f3318e | 7842b9dfa31c533e753763a63dd6643f66ca7d43 | /courses/models.py | d09519e3df02b7839605a043e067bf5ef53d212c | [] | no_license | YOKxPIE/YOKxPIE.github.io | 83dfc46167a74860824b04e6b8d752b8fd4dd77c | 633af49a4f65a07d574fc7c40a836a15b4a2016d | refs/heads/main | 2023-08-17T00:51:30.654217 | 2021-10-02T10:02:20 | 2021-10-02T10:02:20 | 403,917,913 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,395 | py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Course(models.Model):
c_code = models.CharField(max_length=5)
c_name = models.CharField(max_length=150, null = True)
semester = models.IntegerField()
a_year = models.IntegerField()
count_stu = ... | [
"6210530017@student.tu.ac.th"
] | 6210530017@student.tu.ac.th |
c3f0599a81e8b53fa9132efeb23e2ef17af55d83 | 9b98b2f357a8b3311d51b74089bd7b6b2eb107ab | /Python Codes/teapot_optimized.py | d1ac296ecb4a99e81ac97febb5ecc67c757954ed | [] | no_license | shivam-grover/Eyantra-Thirsty_Crow-Team_ID-972 | 65010b9fca267b903ccc6bb29b3878adea205dfd | a6f0f3ec5a9cb5e3d5f8d694bba53137a23e8b4e | refs/heads/master | 2021-10-27T12:01:41.261582 | 2019-04-17T03:49:21 | 2019-04-17T03:49:21 | 157,661,451 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 11,792 | py | """
**************************************************************************
* E-Yantra Robotics Competition
* ================================
* This software is intended to check version compatiability of open source software
* Theme: Thirsty Crow
* MODULE: Task1.1
* Filename: ... | [
"noreply@github.com"
] | shivam-grover.noreply@github.com |
3d2ea1c68fba28be456bac1b10cce2be67a89c15 | f698ce603b9eab5427c26dfc5501ae4ec8e03214 | /proj/common/serializers.py | 6b4763bb9339570bf0595cd423e0bb96422da214 | [] | no_license | chunkai-meng/Fleet | 847f31c7b8b3321ab097428453d0c8f9e1b21f77 | 9e65fdab6fbae1a691db993d12bbcd2684f5b1e9 | refs/heads/main | 2023-03-05T00:22:51.761197 | 2020-11-24T20:53:55 | 2020-11-24T20:53:55 | 312,441,324 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,011 | py | from rest_framework import serializers
class BaseSerializerMixin(serializers.Serializer):
created_name = serializers.CharField(source='created_by.cn_name', read_only=True)
updated_name = serializers.CharField(source='updated_by.cn_name', read_only=True)
class DynamicFieldsModelSerializer(serializers.ModelSe... | [
"willcute@gmail.com"
] | willcute@gmail.com |
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