blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 2 283 | content_id stringlengths 40 40 | detected_licenses listlengths 0 91 | license_type stringclasses 2
values | repo_name stringlengths 3 135 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringlengths 4 68 | visit_date timestamp[ns]date 2015-07-25 20:53:29 2023-09-06 10:46:05 | revision_date timestamp[ns]date 1970-01-01 00:00:00 2037-05-03 13:00:00 | committer_date timestamp[ns]date 1970-01-01 00:00:00 2036-02-09 17:40:36 | github_id int64 1.61k 691M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 24
values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
values | src_encoding stringclasses 27
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c989f03572d825da5cbde708015a01e13cac9237 | 0925cc6980a3b808a37052728150945320877037 | /db_fixture/mysql_bd.py | e0efe623bb46ac04ab8d034e862f33e06ca600f4 | [] | no_license | quanjq/web-interface-test-of-login | 13a037d1bbbb6a6dc1da78233f5d4c56fa64662a | 0bcb657739d213fab7c9e2a3abc2e89ec25e62db | refs/heads/master | 2021-09-20T06:40:58.914212 | 2018-08-06T03:25:20 | 2018-08-06T03:25:20 | 143,671,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,102 | py | mysql_bd.py | # -*-encoding:utf-8 -*-
from pymysql import connect,cursors
from pymysql.err import OperationalError
import sys
sys.path.append('../db_fixture')
# 需要连接的数据库的基本配置信息
host ='10.1.20.85'
port =3306
user =u'root'
password =u'root'
db_name =u'guest'
class DB:
def __init__(self):
'''u初始化，连接数据库'''
try:
... |
cd80817869804a16219e6ba3d953a234127bfeea | e39b4637e2c1291e40018d8ffd685c0ff3b66510 | /PFAS-Map/rdkit_helper/mol_smiles_converter.py | fe20565844975816df635b572e0766c5ce9aecf7 | [] | no_license | JuhaePark/PFAS_Map_MaDE_UB | cc71e6a4888a1e3dab254fc4b2809d1e3bdd2753 | 664235e99b2296b54f8273b46e1f893d678fbb7f | refs/heads/main | 2023-03-17T22:25:10.798001 | 2021-01-18T13:13:38 | 2021-01-18T13:13:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,069 | py | mol_smiles_converter.py | from rdkit.Chem import SaltRemover, MolToSmiles, MolFromSmiles, RemoveHs
import numpy as np
from .Charge_neutralizer import NeutraliseCharges
from. isotope_remover import MolWithoutIsotopesToSmiles
SALTS_FILE = "salts/Salts_from_epa_list.txt"
def mol_from_smiles(smiles):
try:
mol = MolFromSmiles(smiles)
... |
25a08766ef849716648c113c94579bc996e9f076 | 8a1477b50e12ec17cf21c4e350892b151583ffa6 | /geom_impact_poly.py | c06b3154a84802162d52263b0a07e9e5fb3f4c93 | [] | no_license | PyCOMPLETE/PyECLOUD | 173d9153fc69f2aaffa961a563718dcc67cd0fc9 | 50d5de51dacb208b12eefd1dec42124f6dbdbc00 | refs/heads/master | 2023-08-17T15:31:50.667532 | 2023-04-26T09:14:50 | 2023-04-26T09:14:50 | 31,775,390 | 21 | 15 | null | 2023-08-10T09:39:58 | 2015-03-06T15:26:05 | Python | UTF-8 | Python | false | false | 11,770 | py | geom_impact_poly.py | #-Begin-preamble-------------------------------------------------------
#
# CERN
#
# European Organization for Nuclear Research
#
#
# This file is part of the code:
#
# PyECLOUD Version 8.6.0
#
#
# Main author: Giovanni IADAROLA
# ... |
36f3c62c8d7a8ff4892cf43c952aecb5418e8f77 | f7863c02970118d251846b896ddca4a7dff1066f | /hwt/hdl/statements/assignmentContainer.py | 40461013541a9328fad0af1f351f5805663d1bf6 | [
"MIT"
] | permissive | Nic30/hwt | 6fea29e61422ed1c91ad924971b8f8e805d41b88 | 0c8e617fa7f56b261607c0acd9c977928e94276d | refs/heads/master | 2023-09-04T06:44:31.103089 | 2023-08-23T13:05:21 | 2023-08-23T13:05:21 | 35,898,469 | 166 | 23 | MIT | 2020-07-30T15:16:54 | 2015-05-19T17:45:47 | Python | UTF-8 | Python | false | false | 7,084 | py | assignmentContainer.py | from typing import Tuple, List, Dict, Union, Optional, Generator
from hwt.doc_markers import internal
from hwt.hdl.operatorUtils import replace_input_in_expr
from hwt.hdl.sensitivityCtx import SensitivityCtx
from hwt.hdl.statements.statement import HdlStatement, SignalReplaceSpecType
from hwt.hdl.statements.utils.list... |
dd9e445cc1129fdb95f7de9332f699f03ce15e1f | d4a20ab5d3c6f17d81ef743c29e5dab048d918bb | /Homologator.py | 447f07273f85dc8e5436ef308b628a49690e87bd | [] | no_license | lfeitosa/homologator | f6546574be5e5706bd5f72cd2f8ab0f092b7bb67 | bce23f481f8019dd7bc94c1e8d95bbc8ca1b84ff | refs/heads/master | 2020-09-08T02:38:40.413457 | 2019-11-11T13:37:12 | 2019-11-11T13:37:12 | 220,988,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,528 | py | Homologator.py | import json, requests, os
import sys
import smtplib as s
from email import encoders
from email.mime.text import MIMEText
from email.MIMEMultipart import MIMEMultipart
from dictor import dictor
import requests
def main():
banner()
opcao_menu = int(input('QUAL OPCAO? '))
if (opcao_menu == 1):
... |
4ba20a2abdecedcd48f2da8f2b03e259a11318fc | cfb5afe81701fa29c45c3fd759b0ebd46e2eb076 | /onmt/tests/test_events.py | 219d82a53a9495312d81e60a93ae0f3fb10576bd | [
"MIT"
] | permissive | OpenNMT/OpenNMT-py | 00b533d451d6a2b907a41f531898c3d70830f16e | 2b13ed1a0f50d4555d2e1d8729a2de42940be5e4 | refs/heads/master | 2023-09-03T17:44:52.635771 | 2023-08-29T13:18:14 | 2023-08-29T13:18:14 | 82,841,862 | 6,680 | 2,749 | MIT | 2023-09-13T14:00:30 | 2017-02-22T19:01:50 | Python | UTF-8 | Python | false | false | 1,839 | py | test_events.py | from tensorboard.backend.event_processing import event_accumulator
from argparse import ArgumentParser
import os
class TestEvents:
def __init__(self):
stats = ["xent", "ppl", "accuracy", "tgtper", "lr"]
metrics = ["BLEU", "TER"]
self.scalars = {}
self.scalars["train"] = [("progress... |
bd041d82315f386ad788080461e24b53f4759279 | 3e1482e7ae1e3db73d85b2bd8a8afce044e3453b | /self_model/check_data.py | 12fed7c4ab151a24ab234017b095f702799b859c | [
"Apache-2.0"
] | permissive | templeblock/ChineseASR | 8e58ba0a03737fa65e0080cdc34ed8a105cf3904 | 2678055ca90da2178193e2153f0adbc1d8966ed6 | refs/heads/master | 2020-05-25T02:49:31.753763 | 2019-01-08T10:12:51 | 2019-01-08T10:12:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,833 | py | check_data.py | #!user/bin/env python3
# -*- coding:utf-8 -*-
from Utils import extract_feature
class config():
base_dir='/data/dataset/'
data_names=['aishell','st-cmds','primewords','thchs30']
data_dirs={name:'/data/dataset/'+name+'/' for name in data_names}
wav2py_paths={}
types=['train','test','dev']
for ty... |
f496224193f4ea3d1b76b22140439cdcfafe45be | 7b3746fd583a44b01c4f1b1357ee1ca07f3b76de | /server.py | 78327b0e04fbf949befe1d282f6c806111d09aa8 | [] | no_license | DRyan1995/dryan1995.github.com | 2652b541a5da30683177a6ebeec628cee21f927e | f18ef5e4c54b95da61b2ec18658e5855df2cf424 | refs/heads/master | 2020-05-22T01:14:27.942872 | 2018-04-03T03:59:17 | 2018-04-03T03:59:17 | 53,734,367 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,334 | py | server.py | import sqlalchemy.exc, traceback, re, json
from flask import Flask, request, render_template, Response, send_from_directory, session, app, redirect, url_for
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from func... |
25c313220e8972d5a9bbb4f7ae78df3bec404402 | c132d80cd80555a04d5468615d65b5628a0aeb0f | /testcase/t01_test_BespeakRelation.py | 7f31995ddea1cdb90b0f62c70dbe8b2101a55ae0 | [] | no_license | Zoxw/NeuronCICD | d612e1b76aabdb159508637a21df08aa0dc1d0d1 | 7461a28b2b0bbac55cb778c380a74b17286cd72e | refs/heads/master | 2022-12-14T10:30:18.958815 | 2020-09-15T18:22:06 | 2020-09-15T18:22:06 | 292,877,292 | 1 | 0 | null | 2020-09-04T15:03:51 | 2020-09-04T15:03:51 | null | UTF-8 | Python | false | false | 3,153 | py | t01_test_BespeakRelation.py | '''
Created on 2020年8月11日
@author: Administrator
'''
import unittest, requests
from common.base_info import today_start, today_end, Now_time, Now_NextHours
from common.common_method import get_headers_after_login, TestResult
from common.interface_url import bespeakList_INTERFACE_URL, bespeak_ADD_INTERFACE_URL
login... |
43417bf4568a07f825f2295ebfcb2ecc67d43609 | 6a03a98dabc8ef1bf301223d4e4d35c76b161bc8 | /api/init.py | 080e2f92a0c39aba2788f214fe2e95c64a4ac08c | [
"MIT"
] | permissive | wwcodecolorado/returnship-project-voting | 4194ad0d4bf3376303f8126c9f012cd7d5c5ae8f | 9931a2f60c7ec627ddb36075557802015b6e5cdc | refs/heads/master | 2023-05-25T13:17:03.737396 | 2021-04-21T22:29:21 | 2021-04-21T22:29:21 | 252,880,655 | 3 | 1 | MIT | 2023-05-10T05:56:21 | 2020-04-04T01:21:58 | Python | UTF-8 | Python | false | false | 48 | py | init.py | from models import Project, Admin, Vote, Signup
|
bb67236e40754ac526866bf24aadbc63184c139b | 9cf9d1e2970a541e89676fcbd1c75dfe99eadf77 | /stubs/humanfriendly/__init__.pyi | f91d185104aa32c2a9955e3d28d7d82224d91a2e | [
"Apache-2.0"
] | permissive | rmayhue/sxrumble | 334ea3b19b34cef165e40650283cbe5d65a3c9cb | 60c96280a4936254173521f825b1229bacf20edf | refs/heads/master | 2021-01-18T20:03:57.422305 | 2016-11-21T15:51:02 | 2016-11-21T15:51:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 92 | pyi | __init__.pyi | class InvalidSize(Exception): ...
def parse_size(size: str, binary: bool = ...) -> int: ...
|
e4b93a06d5b1d1138de7e5000f81bc7311269b89 | 490ea7fa2c7dd6fc4b556fbde34361513d74be32 | /26.删除排序数组中的重复项.py | 96e45757a861716486bff779df2322c1f4ce3450 | [] | no_license | liured/leetcode_python | 6c7e9ac2d16fec2f15d433931efc558d7b04da30 | 4959c43c6a60162f83f95f9f15225cc56205d18b | refs/heads/master | 2020-05-05T02:00:47.485146 | 2020-02-08T13:18:10 | 2020-02-08T13:18:10 | 179,621,504 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,023 | py | 26.删除排序数组中的重复项.py | #记录前面不重复的元素个数res，，记录当前元素cur，比较数组后面的元素与当前元素是否相同，不相同则res+1，并赋值改位置，修改cur。
class Solution(object):
def removeDuplicates(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
res = 0
if len(nums)==0:
return 0
cur = nums[0]
for it in nums[1:]:
... |
4760eb40e108e59e7f8f4bc88f080a8432046964 | 3be42b83a15d022f5863c96ec26e21bac0f7c27e | /tensorflow_probability/python/vi/optimization.py | 00b8c08b5b032de6fd060bba38948d73f9cc42ce | [
"Apache-2.0"
] | permissive | ogrisel/probability | 846f5c13cddee5cf167b215e651b7479003f15d2 | 8f67456798615f9bf60ced2ce6db5d3dba3515fe | refs/heads/master | 2022-11-09T10:53:23.000918 | 2020-07-01T23:16:03 | 2020-07-01T23:17:25 | 276,580,359 | 2 | 1 | Apache-2.0 | 2020-07-02T07:37:58 | 2020-07-02T07:37:57 | null | UTF-8 | Python | false | false | 14,299 | py | optimization.py | # Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... |
5ecbe71646664ca5c77a76d8a0b6877f99671e74 | d5b48163d236ca770be8e687f92192e2971397e8 | /function6.py | 1706003d636ebf284fe2411c0eafef507b49354f | [] | no_license | Kunal352000/python_program | 191f5d9c82980eb706e11457c2b5af54b0d2ae95 | 7a1c645f9eab87cc45a593955dcb61b35e2ce434 | refs/heads/main | 2023-07-12T19:06:19.121741 | 2021-08-21T11:58:41 | 2021-08-21T11:58:41 | 376,606,535 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62 | py | function6.py | def add(x,y):
z=x+y
return z
a=add(5,5)
print(a)
|
f9aa4b97e27b140c79139d63b7284ade9b18d253 | 4694197225d4a617bf5be7efba33a7b2b57298db | /ImageComparison/bin/Debug/algorithms/Histogram.py | 6fcfa4612657b1d2a0a87d3dd00bbbdf92b56fee | [] | no_license | MarcoCestari-dev/Image-Comparison | 703f6e19f84c932de2e20bf9710d9dfc9bb653c5 | 7f1a8942be744f640d62ec3d0518f2754bdc318a | refs/heads/main | 2023-02-23T02:04:38.800133 | 2021-01-18T16:43:35 | 2021-01-18T16:43:35 | 330,704,559 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,118 | py | Histogram.py | # import the necessary packages
from imutils.paths import list_images
import cv2
import pickle
import os
import sys
from database.Database import createDb
from database.Database import setUpdatedData
#-----------MAIN-----------
imageA = sys.argv[1]
imageBDir = sys.argv[2]
path = sys.argv[3]
nameI... |
03f52862ed7fb3419c7308cac9804004e9aed04a | e4e53aa573c1eaa1aa44df84a292d4f827725fe6 | /controller/views.py | 4bbcc6da5ce0d35303cbf45c40fdbad56da417b4 | [
"Apache-2.0"
] | permissive | AhmedJB/Gestion | a8a25649e9abcd1509c8bb89e13388651223a7f7 | c38c4d1fa229f5b0e0ef2667ff98864a28dc3241 | refs/heads/main | 2023-08-31T18:36:37.759101 | 2021-11-06T17:08:42 | 2021-11-06T17:08:42 | 401,918,274 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 22,635 | py | views.py | from django.shortcuts import render,HttpResponse
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status,permissions
from .serializer import ClientSerializer, InvoiceSerializer, OrderDetailsSerializer, OrderSerializer, RegisterSerializer,ProviderSerializer... |
8e6e857a4d96d09218325b19c06e9c312cb293b9 | 8bfcca6fe07c3397923339027e0926fb40fc0bea | /strings/frequency_analysis.py | fb23cc97f2e0dc9739c8a31a15d74f68b509e4d2 | [] | no_license | AndreyZemskov/Algorithms | 6d563514e8c423332026cc1d0390dea57b267e5e | 9f4937962b4c9000a5c5e099406369b0287d14f3 | refs/heads/master | 2020-03-19T08:03:13.860700 | 2019-03-04T15:10:53 | 2019-03-04T15:10:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | frequency_analysis.py | N = 5
votes = {}
for i in range(N):
name = input()
if name in votes:
votes[name] += 1
else:
votes[name] = 1
A = list(votes.items())
print(A) |
acfa30542ee33e95c09c84fc2ac3437ed270739e | 6ac7085e1dc194f4fe8bb4c3f1b259bf476c777e | /myshop/orders/urls.py | 48ded5c14e26113fb74e10e96074018009ce2616 | [] | no_license | goodbad3/myshop1-2-3 | 09472b70620883101f81f24ec8ebcd10e45f2b66 | a7ac8495ed9a3979c15d7c4ee9088d44ba8ceb8b | refs/heads/master | 2020-04-27T20:59:11.622088 | 2019-03-09T10:24:52 | 2019-03-09T10:24:52 | 174,679,078 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 174 | py | urls.py | from django.urls import path, re_path
from . import views
app_name = "orders"
urlpatterns = [
path('order-create/', views.order_create, name='order_create'),
]
|
c57e931960a403aaf70a10353066ff285e722e54 | 2a43f43d5d436bce4b17022ecacfe2a4ef6b764d | /users/migrations/0002_auto_20210713_1625.py | c27f75963bf668ecca2ed8687906e37b0b09c006 | [] | no_license | BassamHatem/AutomaticEarabSystem | 3feb29ce18e08d3389d93a0e0a25a9df6c41035e | 469c42435cf09c7b31812f7a4233ef5b08bbe3e0 | refs/heads/main | 2023-06-22T20:12:50.307978 | 2021-07-16T14:55:03 | 2021-07-16T14:55:03 | 385,347,711 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 480 | py | 0002_auto_20210713_1625.py | # Generated by Django 3.1.5 on 2021-07-13 14:25
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='student',
options={'verbose_name_plural': 'Stu... |
ac50c81b0311c797fc1de503a1a352d2f5e0b8e1 | eeb6ce7ce2d2b058c72d1dd05f31aa3157f692a1 | /run.py | a60c3ba7234259a05a741760118ce2a4bbc2b2cc | [] | no_license | qiyang-ustc/2d-Ising-Dynamics | a894453a0421466bc42c692f4b2db8313ebae0c8 | 6b61dd784e6f5add6f9e7e0624b8e6bd10e3f61b | refs/heads/master | 2020-09-16T19:04:55.644289 | 2019-12-15T08:50:31 | 2019-12-15T08:50:31 | 223,861,796 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 418 | py | run.py | import os
import platform
import time
L=8
Jnormalization = 1
dJ_set=[-0.1,-0.01,-0.001,-0.0005,-0.0002,-0.0001,0,0.0001,0.0002,0.0005,0.001,0.01,0.1]
# dJ_set=[]
for i in range(len(dJ_set)):
dJ_set[i] = dJ_set[i]/Jnormalization
steps=1600
for dJ in dJ_set:
os.system("nohup julia ./main.jl {} {} {}& \n".forma... |
66e74cba7750dc73c4ffa7576441f2b573bb3275 | 6a2b634c9503694a1c10ef7a9380f0d0d651fbca | /let771.py | f59dec178bcfd6de57b5629fc8a4971fcee66940 | [] | no_license | fredfeng0326/LeetCode | 10a2b77d64f46c7a30350421e8573d753ac4e4a2 | f777f0224f188a787457c418fa3331c1e92d13e5 | refs/heads/master | 2020-03-21T02:31:44.747879 | 2018-09-10T03:24:59 | 2018-09-10T03:24:59 | 138,002,829 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 467 | py | let771.py | class Solution:
def numJewelsInStones(self, J, S):
"""
:type J: str
:type S: str
:rtype: int
"""
i = 0
for Jitem in J:
for Sitem in S:
if Jitem == Sitem:
i += 1
return i
def numJewelsInStones2(self,J... |
240a2b30775668ec7ca52d3d78aea0f344babca1 | 8061f95ae80ef2bb2d5586cbf2285df4bb409675 | /mipt_overflow/src/manager_category/migrations/0002_auto_20180319_1703.py | 6ca19b8c17605251e065448c4e4ac6e22cdb8900 | [] | no_license | Highoc/technotrack-web1-spring-2018 | b4379ac15e1d0da133c5d1c5c4701624f70850f9 | 1509ab47abeae8a5492abccdbde0ed4a25cd6a7d | refs/heads/master | 2021-04-27T03:47:35.443124 | 2018-03-20T17:04:30 | 2018-03-20T17:04:30 | 122,719,597 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,154 | py | 0002_auto_20180319_1703.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-03-19 17:03
from __future__ import unicode_literals
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('manager_category', '0001_initial'),
]
operations = [
... |
a358d3da2a0f93ca8ea0b8a7755a87a1c0b4bb32 | 60054bd53292715890c639e904be0bd5b001ae38 | /http-server-home/main.py | 2c1d96e7e12b2243f5351824ae31ec6451683bd0 | [
"Apache-2.0"
] | permissive | javier-ruiz-b/docker-rasppi-images | 9dd00de2ff328af03e73cff0529bd564409ca7a1 | 4f4a992d56d49612cb6ae066af50d39db45bf20e | refs/heads/master | 2021-09-10T19:53:30.541576 | 2021-09-06T16:32:35 | 2021-09-06T16:32:35 | 87,615,417 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,481 | py | main.py | #!/usr/bin/python3
from flask import Flask, json, request
import os
companies = [{"id": 1, "name": "Company One"},
{"id": 2, "name": "Company Two"}]
api = Flask(__name__)
lights = { "pc" : "0",
"side" : "1",
"tv" : "2" }
lights_command = "pilight-send -p kaku_switch -i 13965290... |
b8862ec2e8f11492e0c180e48f4838e3e1bae8ee | 388b06251ef06bed346df530f12f8a37b649a1ce | /res/keuzemenu.py | 2f8c571588c316a9382c2a78ef4d2e4213738abb | [] | no_license | BramvdnHeuvel/Spyfall | 461b7528ae28589256290dca656464cda774b975 | 368b155d18ab2441e29281b50b4f527f926ce956 | refs/heads/master | 2020-04-08T04:44:42.817596 | 2019-07-19T19:40:52 | 2019-07-19T19:40:52 | 159,030,048 | 6 | 0 | null | 2018-12-23T09:36:59 | 2018-11-25T12:38:09 | Python | UTF-8 | Python | false | false | 8,091 | py | keuzemenu.py | events = [
{
'name': 'Lasergamen',
'desc': 'In Amersfoort een uurtje lasergamen met max. 13 personen... wie wil dat nou niet?',
'yes': ['Brom', 'Egdar', 'Mork'],
'probably': ['Meesje', 'Seneca', 'Harissa', 'Mickey'],
'maybe': ['Riineer', 'Swammy'],
'hmm': [],
... |
0197bf4d2883d62670a0050f8ab63914b2defaa2 | fbcdb1aae40c7296f5b5edfc2bc59a5669496df2 | /leetcode/wordArrayStack.py | 6c40a40fbfccc3f7c93e8da93adaead0ad7d3567 | [] | no_license | Fr4nc3/code-hints | b9db1e6b4697fc6932d92e5977a8fbc8d2a8d591 | 931575a9bd7f843fca006c6616754b49161dcb50 | refs/heads/master | 2023-02-05T23:07:24.085366 | 2022-08-11T13:00:59 | 2022-08-11T13:00:59 | 52,673,727 | 5 | 3 | null | 2023-01-31T22:44:42 | 2016-02-27T15:37:48 | HTML | UTF-8 | Python | false | false | 1,527 | py | wordArrayStack.py | # You are given an array of strings arr. Your task is to construct a string from the words in arr, starting with the 0th character from each word (in the order they appear in arr), followed by the 1st character, then the 2nd character, etc. If one of the words doesn't have an ith character, skip that word.
# Return th... |
883bc59ce39adbb0552a1aa5f0af2385ffe124a4 | 26605e99468d7801f699cb6f4712ea0901eb3282 | /P30_2.py | 2e9e16677e19b35a21ae8a1760f84c1b945c45e8 | [] | no_license | SoeZeng/FishC | 9bfc0d276d24592690263a032df8d9a14b98d93a | 0e7345556927049cabccea9c64f56f471a6f2551 | refs/heads/main | 2023-06-23T06:53:22.658989 | 2021-07-16T10:17:19 | 2021-07-16T10:17:19 | 386,594,167 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,237 | py | P30_2.py | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 27 20:18:37 2021
@author: DELL
"""
import os
def search_file(root_path,file_name):
file_list = os.listdir(root_path)
#print(root_path)
for file in file_list:
if file == file_name:
file_path.append(root_path+'\\'+file_name)
... |
0d22d9c99c3099ce0feede45c0ae6d5f8b3dfe0e | 6a8eac5877ea4f782c094ad7b974d03e1dc86401 | /src/brouwers/users/migrations/0006_user_customer_group.py | 2ebf87ae65aa88bc2ea3739ac6bfd2b9a6c7a049 | [] | permissive | modelbrouwers/modelbrouwers | cb2bbea34e70f4a1d9a7361dfe7131a20ea26b02 | 7713e78eeb31809e04b0b316ec8f8deed0808fc9 | refs/heads/main | 2023-08-06T10:49:33.804123 | 2023-07-30T20:28:34 | 2023-07-30T20:28:34 | 13,872,961 | 7 | 3 | MIT | 2023-05-29T15:33:06 | 2013-10-25T21:51:20 | Python | UTF-8 | Python | false | false | 677 | py | 0006_user_customer_group.py | # Generated by Django 1.11.15 on 2018-12-18 16:30
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("shop", "0016_auto_20181217_2121"),
("users", "0005_datadownloadrequest_downloaded"),
]
operations = [
... |
9bbf235c5abb08e433373e1a4431160acff5130c | 8e88220c312c43550ca318871d3ccdfadfa4748e | /Solution/opencv.py | e941f1b68341c8a7bc0e8cb8f8b4e851aa2fc15f | [] | no_license | itsnikhil/sudoku_solver | 8791d8a0fd214871697fc32afbdc59d6858265f8 | 3bb646849f8ca2b2b153150b103aef545abe392c | refs/heads/master | 2021-01-20T07:35:37.481846 | 2017-09-25T09:38:44 | 2017-09-25T09:38:44 | 101,546,689 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 247 | py | opencv.py | import cv2
import numpy as np
from PIL import Image
img = cv2.imread("/home/nikhil/nikhil/Sudoku/sudoku.png", 0)
ret, thresh = cv2.threshold(img, 10, 255, cv2.THRESH_BINARY)
print "Threshold selected : ", ret
cv2.imwrite("./output.png", thresh)
|
d9aad6f209d2fa2d551180cb833bc5d47bd304a0 | b24740ce58f8a970b69fa1efe56cf54f74a47612 | /cogs/apod.py | ee62bf02c94d9e5332a76f8e318a1d0821faa4db | [
"Apache-2.0"
] | permissive | Itai12/Amanager | 9e61a2db38172926c4ecfef469f69587e0c23f91 | a470f92a645115ad51adaec4f517dd4d00b2c05e | refs/heads/main | 2023-04-24T19:15:24.121092 | 2021-05-02T12:11:12 | 2021-05-02T12:11:12 | 363,394,764 | 0 | 0 | Apache-2.0 | 2021-05-02T11:57:34 | 2021-05-01T11:35:27 | Python | UTF-8 | Python | false | false | 1,147 | py | apod.py | import discord, requests, json
from discord.ext import commands
from discord_slash import cog_ext, SlashContext
class Slash(commands.Cog):
def __init__(self, bot):
self.bot = bot
@cog_ext.cog_slash(name="apod", description="Afficher la photo de la NASA du jour !.")
async def _apod(self, ctx):
... |
ceefcba643e3eb7318b5871481c3e4782a1d45f9 | 6e04f50f02f265c0db42a2f0acced9c62dd1338e | /median.py | 3033627202867a7323f7eb283df9f327703d6731 | [] | no_license | Akashkumarsenthil/placement_practice_python | 36c2f8d6a4186f2bc125c5c59fd92574952a4305 | 8a5425068c03f9fac13864509968018cde308033 | refs/heads/master | 2022-12-06T00:18:33.782794 | 2020-08-17T17:46:33 | 2020-08-17T17:46:33 | 262,390,224 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | median.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 30 22:45:37 2020
@author: akashkumar
"""
def median(arr):
arr.sort()
n = len(arr)
print(float((arr[int(n/2)-1] + arr[int(n/2)]) / 2 )) if n%2 == 0 else print(arr[int(n/2)])
arr1 = [5,3,1,6,8,12]
arr2 = [2, 4, 6]
arr = arr1 + arr2
medi... |
2936d0b3cb3a033164a210c7048a424815ed8bb1 | e08e88d21e13f2d0ff25063c22c6ef2ed3088b50 | /scenarios/register.py | 84ca970cf7ece410973b3fb39ff7737972579af6 | [] | no_license | imzengyang/selenium-ddt | 0cbc6a401995709aa68706b5e3123ddc6bef4495 | 2d97a7dfc1466edd2b369ed009a7fa2b97431ae8 | refs/heads/master | 2021-05-11T14:19:06.449972 | 2018-03-04T09:29:20 | 2018-03-04T09:29:20 | 117,699,536 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,247 | py | register.py | import unittest
import time
import os
from selenium import webdriver
from ddt import ddt, data, unpack
from library.getData import get_xls_data
from library.getScreenShot import getScreenShotsPath
@ddt
class Register(unittest.TestCase):
@classmethod
def setUpClass(self):
self.driver = webdriver.Ch... |
7fa9a11bba064d9136820a7a87107acb4fde0412 | 46ce68cee50ba8ec8cf5fda1e3ecc1977a6051f8 | /src/combine_weather.py | bb9f2f03f4bf0f758c10ac78764e279ced29f99d | [] | no_license | andypicke/JeffCo-OpenSpace-LotSpot-Analysis | c52ef5fc35182e5f1d1f65c84d5bbf28c7376a43 | 252d8e12cf85d1b73da92838bc3f618e910be5cd | refs/heads/master | 2022-10-23T06:11:35.907783 | 2020-06-15T16:26:00 | 2020-06-15T16:26:00 | 263,195,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,418 | py | combine_weather.py | # Combine weather dataframes for each day (made w/ get_darksky_weather.py) into single combined dataframe
import os
import pandas as pd
import pickle
if __name__=='__main__':
with open('./data/park_info.pkl', 'rb') as f:
park_info = pickle.load(f)
for park_name in park_info.keys():
print('C... |
8c21095bc0260e5dac700d2c23fc5865dfcb64d9 | 7a06ffc2c3e1fe109d4321bbd62f28dc30ee5d19 | /apps/booking/admin.py | b82899fef01e8df7c33f5e77782ffe0780172764 | [] | no_license | adux/acrolama | 1485265c9de6f163761dcba618abad241fe5574e | 86dfb404e8d49d8f9da9c6084076306106034a8d | refs/heads/master | 2022-12-31T20:11:28.128013 | 2021-06-09T21:53:12 | 2021-06-09T21:53:12 | 114,385,353 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,556 | py | admin.py | from django import forms
from django.contrib import admin
from booking.models import Book, Attendance, Quotation
class AttendanceForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(AttendanceForm, self).__init__(*args, **kwargs) # populate the post
self.fields["book"].queryset = Boo... |
716748069a8a22d841a0c8effa74d400eefe66b9 | a73b9c1fdb7f8f8d7f749c400078f15dbd04f7f6 | /challenge/SQL注入/时间盲注bugku.py | ee68881a325b09c45269063f0d3fb4663295069a | [] | no_license | lossme/CTF | d4be8c7dd2368e8cd312b3782ccf15acca15f609 | ac26cc80ca234b9608d36dbedb940b3db0bea749 | refs/heads/master | 2020-04-27T11:23:53.798527 | 2019-04-16T08:27:14 | 2019-04-16T08:28:33 | 174,294,079 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,761 | py | 时间盲注bugku.py | """
https://ctf.bugku.com/challenges#INSERT%20INTO%E6%B3%A8%E5%85%A5
error_reporting(0);
function getIp(){
$ip = '';
if(isset($_SERVER['HTTP_X_FORWARDED_FOR'])){
$ip = $_SERVER['HTTP_X_FORWARDED_FOR'];
}else{
$ip = $_SERVER['REMOTE_ADDR'];
}
$ip_arr = explode(',', $ip);
return $ip_arr[0];
}
$host="localhost";
$user... |
a4d3712f503c6cddda3e2186a46723757da14869 | d1e217093ee70dd9f2911781ea7ac60eb923bbbd | /python/prod_HCalMIPCali_test1_Data_PromptReco2017_v1_DoubleMuon_Run2017B-PromptReco-v2_v1.py | 77753a13fc5482bb6c9e83a7b93155a3112081e2 | [] | no_license | nanlu06/MuonCalibrationHCalPhaseI | 555375b45fbeabe849d5f2e458e723cec1a5e1b9 | 5c2df37fc8760cf38da0894b65a69559eb29e639 | refs/heads/master | 2021-01-20T21:12:49.593639 | 2017-08-29T12:19:33 | 2017-08-29T12:19:33 | 101,739,272 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | prod_HCalMIPCali_test1_Data_PromptReco2017_v1_DoubleMuon_Run2017B-PromptReco-v2_v1.py |
from WMCore.Configuration import Configuration
config = Configuration()
config.section_("General")
config.General.requestName = "prod_HCalMIPCali_test1_Data_PromptReco2017_v1_5f20d31dd66741a69a27f27941a283cf_v1"
config.General.workArea = "crab_prod"
config.section_("JobType")
config.JobType.pluginName = "Analysis"
co... |
506b1b8193aaf3f96a0ea5e1c570c025c8fc7283 | a1d3c713943baab47421edec1a8d076b53a24b3e | /sugang/urls.py | df80dbd821c1092d90270656d5fa57146f655799 | [] | no_license | HyunAm0225/web-db-github | 6b1085ac13e33614fabb353034f8b756394cfa8d | 3e4fb6609e7ecf7432167bbf1af8f56bef7b2fb3 | refs/heads/master | 2023-01-06T23:54:54.881630 | 2020-11-11T09:15:46 | 2020-11-11T09:15:46 | 311,891,913 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,331 | py | urls.py | from django.urls import path
from .models import Subject, Sugang_Student
from django.views.generic import ListView, DetailView
from . import views
app_name = 'sugang'
urlpatterns = [
path('', ListView.as_view(model=Subject), name='index'),
# path('subject', ListView.as_view(model=Subject), name='subject_list')... |
459de1d535289d28bdb205c2514ee64a8c8931b2 | 873a60119761b966d0ef8c7bf6ad104627f02736 | /api/gallery/models.py | 91bfb463806832f408e01582d45cba1a940fc01e | [] | no_license | dnitConcilia/concilia-api | 61619c421acdef9a16aa1f0c9b76badbf5434f2a | 71be300d97f125fffc43abc2e6fec51dcef929a9 | refs/heads/master | 2022-12-11T00:25:39.038951 | 2019-09-26T21:26:30 | 2019-09-26T21:26:30 | 100,710,173 | 1 | 0 | null | 2022-12-07T23:39:21 | 2017-08-18T12:33:40 | JavaScript | UTF-8 | Python | false | false | 2,878 | py | models.py | from django.db import models
class Photo(models.Model):
title = models.CharField("Título", max_length=200, blank=True, null=True)
photo = models.ImageField("Arquivo", upload_to="gallery/photos")
legend = models.CharField("Legenda", blank=True, max_length=300)
credit = models.CharField("Créditos", blank=True, max_l... |
f5a38bbf1c0f1c6d4097d9f75ab881abb768e397 | deb3bde7840994e4fb30d7fe1727eb7d86380b5b | /depickling.py | 3b15caef66433c59b2d26d80e2f49d894cfe03aa | [] | no_license | mkodekar/PythonPractice | bbb83b1f3ee1da3c7abcf55cf96f01ca05369974 | ab0bff44730019ab24d6b89063dacafa946d392f | refs/heads/master | 2021-01-19T04:28:30.580334 | 2017-04-20T16:51:01 | 2017-04-20T16:51:01 | 87,375,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | py | depickling.py | import pickle as pick
pickle_in = open('dict.pickle', 'rb')
example_dict = pick.load(pickle_in)
print(example_dict)
pickle_in.close() |
7a100535db0e2dd2bc34841495a03fecf5cbc5cb | a17029a6dde22f1679fcdb2cdfcf8c304a0abf7a | /tuple.py | 49dc81e0e6308104124699126d668e372b3a9426 | [] | no_license | kerbinlee/Ray-Tracer-Challenge | aa86cfd27ae5c9d028895bc1c04d605b33797ce3 | aa91ed6721957b2aebd3ba81d9fe488aa5048ea6 | refs/heads/main | 2023-04-10T06:14:01.101320 | 2021-04-25T23:39:03 | 2021-04-25T23:39:03 | 317,085,361 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,450 | py | tuple.py | import math
from constants import Constants
class Tuple:
def __init__(self, x, y, z, w):
self.x = x
self.y = y
self.z = z
self.w = w
def __eq__(self, other):
return math.isclose(self.x, other.x, abs_tol = Constants.epsilon) and math.isclose(self.y, other.y, abs_tol = Co... |
1e6192d796005b154fa890145fb1a55ac39dbeaa | d7757d2215d00307504426ccf87ceaeb1f4536ed | /1214.py | a8d9f455d09b10931548adeb088e4e03716084fe | [] | no_license | paulaandrezza/URI-Solutions | e23a69164cbdbac636db73a3ba29cabb08a32db6 | 7694fa27d68b2ec2dbd426505ab680fb8ea9ace7 | refs/heads/master | 2022-10-29T06:45:27.791115 | 2020-06-06T00:35:17 | 2020-06-06T00:35:17 | 265,044,304 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 380 | py | 1214.py | c = int(input())
p = 0
while p < c:
q = 1
media = 0
cont = 0
n = input().split()
while q <= int(n[0]):
media += int(n[q])
q += 1
media /= int(n[0])
q = 1
while q <= int(n[0]):
if int(n[q]) > media:
cont += 1
q += 1
... |
d98a6b5ab0e2531d56d4ff2963b693d38cd73385 | 3df958f2d0197ee7df4fcde7c225be9e07fa3392 | /object-detection/transformers/utils/misc.py | 42f3da424fe8fc7e699e72a5cf312b95a4e425db | [] | no_license | danikkm/notebooks | 1e4d6af747dc98a3e12cb48e7971862c6e20ee9c | 5da5e11356ef7c5365903fc66c083e8beceda691 | refs/heads/master | 2023-04-23T02:00:56.780083 | 2021-05-06T18:21:53 | 2021-05-06T18:21:53 | 286,275,299 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,609 | py | misc.py | from argparse import ArgumentParser, Namespace
from collections import defaultdict
from time import time
from typing import Dict, List, Any
import numpy as np
import torch
from torch import nn, Tensor
from torch.utils.tensorboard import SummaryWriter
from .boxOps import boxCxcywh2Xyxy
class MetricsLogger(object):
... |
2dccc0ac68664bb18d9c8673e76d12fb2c318ea8 | 2914f8ff4ccbdd2c345daf99548bdfa983c0e864 | /app.py | bf660433d452ae04ad4fab7bd3fb36c157c3e173 | [] | no_license | sanju1623/stock-profit-calculator | 6213ad0b7969af1e5a26f0d6a1317cbddf22f2a7 | bbb137790fb749bb34ca78b5fa76838b0db1355f | refs/heads/master | 2020-04-03T13:15:24.276570 | 2018-10-29T20:49:50 | 2018-10-29T20:49:50 | 155,279,098 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,529 | py | app.py | from flask import Flask, render_template,request
app = Flask(__name__)
@app.route('/')
def input():
return render_template('input.html')
@app.route('/post',methods=['POST'])
def calculate():
ticketSymbol = (request.form['ticketSymbol'])
Allotment = (request.form['Allotment'])
Final_share_price = (... |
19ff353b1182cf94d04bbf6b331ac7ba41865aca | ebb139c5a5433ca45c04b67cee61484491ff51ac | /python-flask-cache/swagger_server/controllers/classes_controller.py | 0e477e4fb4a7ea6c60e5e0eaa254f14055ccc553 | [] | no_license | phuthien007/api_swagger_talent5 | b60b2e194bfe385999b1fd0d3ff5d20900fff542 | 0f908490ce21cb9cc82371f382f42d680d302b69 | refs/heads/master | 2023-04-04T21:09:31.911425 | 2021-04-25T17:07:10 | 2021-04-25T17:07:10 | 345,924,580 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,166 | py | classes_controller.py | import connexion
import six
import json
from swagger_server.controllers.users_controller import *
from swagger_server.models.classes import Classes # noqa: E501
from swagger_server import util
from swagger_server.controllers.utils import *
from swagger_server.controllers import teachers_controller, courses_controller
... |
d1c0587f0daedb8c261318fe6b3b66d52dec37e8 | 3e12f393f1914386331f7934405c6da5f6a01f43 | /main/main.py | ee8e78b818480b158eab0b3e3224c7fc2cb0fad4 | [] | no_license | zmh908264302/souhu_text_match_2021 | 337e04d4b90cc6cc49d308e1a213564010b196e6 | 4ff665d486b3091168f7f81c6377996ba17ea99d | refs/heads/master | 2023-04-25T11:06:00.403091 | 2021-05-17T14:14:19 | 2021-05-17T14:14:19 | 368,202,766 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,015 | py | main.py | from transformers import AutoConfig
import config.args as args
from Io.data_loader import create_batch_iter
from net.longformer_classify import LongformerQA
from train.train import fit
from tools.porgress_util import ProgressBar
from tools.model_util import set_seed
import torch
def start():
args.n_gpu = torch.cu... |
a48b9c888766ce05fb93eacaab2de1d873273f1c | 26d6175f30c7cfac5b92a58dfc96dbc5f2fcf830 | /exp/dictionaries.py | 08afbc576370b4a56c80f24feae11f3eee525227 | [
"MIT"
] | permissive | swissunicorn/ML-covid19 | 776dcf6f848d68e88e466b09b6ab439c733cafb7 | fc9bc02427876e23d6fd7ef5bae4ab68b1c45096 | refs/heads/main | 2023-05-15T02:41:42.717341 | 2021-06-09T23:47:14 | 2021-06-09T23:47:14 | 375,516,512 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,064 | py | dictionaries.py | # in this file I will make dictionaries of frequencies for each country being another's
# nearest neighbor.
# then I will graph the cases of the highest ones to get a visualization for what the most common
# nearest neighbors' cases actually look like, and maybe some intuition for why they are the nearest neighbors.
i... |
e3ecf74db076341fcc3b7de309689a725acfd0ff | f2487f69cf2a9e893eaefb2d4e9488f7526e9c61 | /src/Core/Rectangle.py | aa9b718f9f6e4cb0acfff2763173e46c08869713 | [
"MIT"
] | permissive | rozifus/threejs.py | 09f8b3d38c0eba87cc65705ebb67af6943c319ed | 7efaafb0882930d163432f5197e6c104c22d64ab | refs/heads/master | 2020-04-05T03:45:12.291144 | 2014-05-04T14:45:40 | 2014-05-04T14:45:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,445 | py | Rectangle.py | import math
class Rectangle:
def __init__( self ):
self._left = 0
self._top = 0
self._right = 0
self._bottom = 0
self._width = 0
self._height = 0
self._isEmpty = true
def resize( self ):
self._width = self._right - self._left
self._h... |
f7a234fc80f1bfe313279e80dfdbd230fb638a11 | 026c33c05f65da96945ee7456ae05e60b9ad3e4b | /creational/builder.py | bcab25ec06ead128d4cab78fbf00c882c79e7272 | [
"MIT"
] | permissive | kimgea/design_patterns | 9321c088794d122d9f6e94cc0eed57202ebecbfb | def656f50c4f26e25f8a0d2920041c2f002dc2d0 | refs/heads/master | 2021-01-10T08:26:41.429137 | 2016-11-05T12:03:35 | 2016-11-05T12:03:35 | 48,045,376 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,313 | py | builder.py |
class RougeCap(object):
def get_armor(self):
return 5
class WarriorHelmet(object):
def get_armor(self):
return 15
class Dagger(object):
def get_attack(self):
return 20
class Sword(object):
def get_attack(self):
return 10
class NPC(object):
def __init__... |
17254615628d69a6e5e984f635d3741d639494b3 | 9815f5f757db71094f54d0f93fde8e2053b5805c | /prime.py | b7902e54af901b3aa616e5168b6525ac116209b8 | [] | no_license | Futhepr/2.1_PrimeNumbers | 45a1db8fb16cbeb4b3ac0a84080e254d0367d9ba | 4f55bc693fb9ee6d7f092cdad3645b2d0ad229bb | refs/heads/master | 2020-09-04T22:29:55.168974 | 2019-11-06T09:46:57 | 2019-11-06T09:46:57 | 219,909,875 | 0 | 0 | null | 2019-11-06T04:11:21 | 2019-11-06T04:11:20 | null | UTF-8 | Python | false | false | 290 | py | prime.py | import numpy as np
N = 10**7
file = open('prime.txt', 'w')
arr = np.zeros(N)
lim = N**0.5
j = 2
while (j <= lim):
i = 2
while (j*i < len(arr)):
arr[j*i] = 1
i += 1
j += 1
for i in range(2,N):
if (arr[i] == 0):
file.write(str(i)+' ')
file.close() |
206162c32455cc3c4296b9fa2260d1c6dfa74d00 | 47efc9273914a20b233c0cb1e7bf4a5d67727685 | /machine learning/hw1-decision-trees-allpasscool/code/metrics.py | 29a2fbca2d27ada42fbbd301cc683a763f55c4cc | [
"MIT"
] | permissive | allpasscool/YishanLin.github | 606af5e7296efc9c50257439dd2aabdea453848b | e504e12b620464fdf189043006f868078ef6f6ab | refs/heads/master | 2022-06-10T23:40:46.984659 | 2019-10-07T05:01:01 | 2019-10-07T05:01:01 | 110,800,882 | 0 | 0 | null | 2022-06-06T21:13:55 | 2017-11-15T07:42:03 | Python | UTF-8 | Python | false | false | 4,351 | py | metrics.py | import numpy as np
def confusion_matrix(actual, predictions):
"""
Given predictions (an N-length numpy vector) and actual labels (an N-length
numpy vector), compute the confusion matrix. The confusion
matrix for a binary classifier would be a 2x2 matrix as follows:
[
[true_negatives, fal... |
900eedb4068ae4103fb310da3fc2e2f017af3f76 | eda430749310cfda794885acac883b128eff9177 | /ceshi/6-02-02.py | 08339fcc907524ab7a177bbaa704ffef21095001 | [] | no_license | ningjingzhiyuan1993/test | 123d3bb74db72a016d67eea589534ca5088c10fa | b25bdf523aec8557e691362af88c4d2ff69986d8 | refs/heads/master | 2021-06-18T21:14:37.881031 | 2019-06-21T06:03:17 | 2019-06-21T06:03:17 | 130,627,560 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 352 | py | 6-02-02.py | class Student(object):
def __init__(self, name, score):
self.name = name
self.score = score
def get_grade(self):
if self.score >= 90:
return 'A'
elif self.score >= 60:
return 'B'
else:
return 'C'
lisa = Student('Lisa', 90)
baobo = Student('baobo', 59)
print(lisa.name, lisa.get_grade())
print... |
9efe9a0abf8e1f19c7beec0ea2f0c2dbaf87d5b6 | b047437496ceeacd7d3bbee25e842c521dd3f48f | /HCP_task_fmri_cnn_tensorpack_changesize_bk4_motor_cedar_Nov.py | 1f9262fcf85a0015d4050a6465a84dccba101aff | [] | no_license | laraibazadab/benchmark_cnn_fmri | 4ee665892a04a99160b929eb208ff44d4ded2806 | bc3a11438fbf610a6c28688df3a2cb43af31e079 | refs/heads/master | 2022-03-25T07:42:41.547059 | 2019-12-19T22:35:16 | 2019-12-19T22:35:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 65,753 | py | HCP_task_fmri_cnn_tensorpack_changesize_bk4_motor_cedar_Nov.py | #!/home/yuzhang/tensorflow-py3.6/bin/python3.6
# Author: Yu Zhang
# License: simplified BSD
# coding: utf-8
## ps | grep python; pkill python
from pathlib import Path
import glob
import itertools
import lmdb
import h5py
import os
import sys
import time
import datetime
import numpy as np
import pandas as pd
import ni... |
d72cd696d28c26a1230eb68370a7e2987a0614a6 | 3fd7ec6431e71abb54605cd5e9fc14271d794671 | /03_ThreeWayAndTkinter/main.py | 139ee4bfa3f8e3c262e726c21e81be2c28b91604 | [] | no_license | DeadSonger/PythonDevelopment2021 | f0adcb8c787987fdf4117a49af4b92d851cc7926 | 7da4bd66e7c64f99eb6cf50a159ab96256468add | refs/heads/master | 2023-03-27T18:13:34.323020 | 2021-03-28T22:21:59 | 2021-03-28T22:21:59 | 340,717,989 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 564 | py | main.py | from argparse import ArgumentParser
from application import Application
from model import TagModel
def main(width: int, height: int):
game = TagModel(width, height)
game.shuffle()
app = Application(None, game)
app.mainloop()
if __name__ == '__main__':
parser = ArgumentParser("Tag game")
par... |
00a1c1c6ded56acb53304fc42f299423527ee5c1 | bf14dc99265d5cf77fdc753eb83a0ddfef7fa0ad | /constants.py | c80713f0422ba63eea5c97a580a2b52c595bbc3e | [] | no_license | go2011/pygo | b8ebd1494bc302af5ce53fb3d1cfee9b4024be6d | f5b1d24384079102d689cf2becb19f95e0ae3c3b | refs/heads/master | 2021-01-06T20:42:34.631589 | 2014-06-19T21:36:51 | 2014-06-19T21:36:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 662 | py | constants.py | # here I define stuff that will come in handy throughout the project
# best to use names rather than values as they may change
EMPTY = 0
BLACK = 1
WHITE = 2
OFFBOARD = 3
# constants to reffer to standard indexes in 3 dimensional grid (currently working only on 2d)
# always use in square [] to standardize and increase... |
80bda290a37ef0f38002a986978064f39149cd10 | edcc41e2a8a6a550e7ab77fe8ded8d9e24527081 | /nonogram/venv/lib/python3.5/site-packages/nonogram/src/core/solveurs/linear_programming.py | dac930dd1eef3f9338b646a26a26b0d2e39d1697 | [] | no_license | temarales/python_labs_vsu | b59d544e7db7abd3a9f040dc795d9661a27a37f8 | 3db3f3c36a0a4d7843200e069dfaa0be37b4dc40 | refs/heads/master | 2020-06-07T00:37:32.652566 | 2019-06-28T05:12:01 | 2019-06-28T05:12:01 | 192,885,737 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,903 | py | linear_programming.py | # -*- coding: utf-8 -*-
""" Resout un nonograme en utilisant des méthodes de programmation linéaire.
Ce module contient toutes les fonctions utiles pour répondre aux questions de
la seconde partie du projet.
"""
from __future__ import print_function
import numpy as np
from time import time
from gurobipy import *
from ... |
81a1f49814f5c1498e019ef216ec994c6764415a | 2e48a197be12664c54a6ff63f2245be591a430d0 | /website1/page/urls.py | 1b8b84354bd1566066c14e4ddb8750da7f9a4eb9 | [] | no_license | ankushbanik1/django-tutorial | 98f0e29abe4f7970225dbf2ba3d5f3bd823b7667 | 7ce258a97c1bff7c459c1e693c52a8af857af8c2 | refs/heads/master | 2020-04-07T00:43:03.022308 | 2019-07-30T17:56:27 | 2019-07-30T17:56:27 | 157,915,541 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 840 | py | urls.py | from django.http import HttpResponse
from django.conf.urls import url
from . import views
from django.contrib.auth.views import LoginView,LogoutView
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import views as auth_views
urlpatterns=[
url(r'^$',views.home , name="home"),
url... |
1b1f2e34cff8d88e1831ff0119812ef6ba4814be | 5a57635e76016a2a3583adcd8dcb828e401a1d6a | /hw3/Submission/hw3_Q3_Q5_Q6.py | b3207e2f1d668cecbb2e85eb9b5416ead5af7104 | [] | no_license | jesseyli/CS189 | 513e9ebddee7fc0de83fd4a5928b68540482aac2 | b3fe3967d3df0ab11aaacf061042f961f17e7ada | refs/heads/master | 2020-04-05T19:02:59.683815 | 2016-05-07T03:24:25 | 2016-05-07T03:24:25 | 56,756,143 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,519 | py | hw3_Q3_Q5_Q6.py | import matplotlib.mlab as mlab
import numpy as np
import matplotlib.pyplot as plt
import math, random
import scipy.io
# Problem 3
'''
X1 = np.random.normal(3,3,100)
X2 = (X1/2) + np.random.normal(4,2,100)
# Part (a)
mu = [np.sum(X1)/100, np.sum(X2)/100]
print('mean:\n', mu)
# Part (b)
sigma = np.cov(np.vstack((X1,... |
aafb0a1a4000676b66643766196f2364ba9ab700 | 86b3991da6d9f65865c3d7648b520779c1c94f09 | /backend/home/views.py | 972e3a339ecf10407ed7d3879b2d310ffd9cbdbf | [] | no_license | ITK13201/steps-monitoring-server | a529b7fbca18fc6f19ec3daba864846018227fa9 | 94bd23132db281369c47cb90268aae90ef398857 | refs/heads/master | 2023-06-20T04:09:38.719247 | 2021-07-22T09:13:19 | 2021-07-22T09:13:19 | 377,789,218 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,377 | py | views.py | import logging
import pprint
import datetime
from django.http import HttpResponse
from django.views import generic
from django.utils import timezone
from backend.utils.generate_figures import plot_figure
from backend.steps.models import Step
logger = logging.getLogger(__name__)
JST = datetime.timezone(datetime.timed... |
4aa628e3b6e6aafaecdb6f7a99c816a5710d8e7a | a3b1175551d617a20952e961208d6f8a1f56b318 | /core/kdialog.py | 53d44aa8e094c3d7a9e3dcd823ee0afd66c1372e | [] | no_license | hieuliemfe/esms-desktop | 59fff6afdd22f4af0e37dd3f1d777c8bb49da7cd | 54627292e030f7bdabae6500f862f2ccdc7f3e4f | refs/heads/master | 2023-01-02T18:38:12.121484 | 2020-10-30T10:12:57 | 2020-10-30T10:12:57 | 299,920,336 | 0 | 0 | null | 2020-10-18T19:32:24 | 2020-09-30T13:01:04 | Python | UTF-8 | Python | false | false | 197 | py | kdialog.py | from kivymd.uix.dialog import MDDialog
from .base.kobject import KObject
class KMDDialog(MDDialog, KObject):
def __init__(self, **kwargs):
super(KMDDialog, self).__init__(**kwargs)
pass
|
0406c111c95234d45dc292aaafd5a16c8ce7718f | 0f4c24d54845485ab9c3c05ca523df8d07045478 | /VEXcode-VR/Examples/Using-Sensors-and-Loops/Using-Sensors-and-Loops.py | a15bb48b14901253932477ff2e9e179ab7df6e1a | [] | no_license | TriPham2021/VEX-Robotics | 5eddde5bf2b41c519e99b999e4fb0ce6e24bc373 | 6bbdc9b1d5da2d46acd0a99c19f0cb171f40edfd | refs/heads/main | 2023-07-15T05:49:22.926499 | 2021-08-29T03:46:22 | 2021-08-29T03:46:22 | 392,727,571 | 3 | 0 | null | 2021-08-04T14:52:55 | 2021-08-04T14:52:55 | null | UTF-8 | Python | false | false | 1,230 | py | Using-Sensors-and-Loops.py | # -------------------------------------------------------------
#
# Project: Using Sensors and Loops
# Description: This example will use the distance sensor to
# determine which color line to draw based on distance
# Configuration: VR Robot
#
#... |
f49f3c8b2edbd454dedd3fe74308e3c8327abf7e | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03162/s933193658.py | 1744ecf9782b25da1cbb8c527ffcdba577795e11 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | s933193658.py | def edu_dp_c_vacation():
n = int(input())
v = []
for _ in range(n):
v.append(list(map(int, input().split())))
dp = [[0]*3 for _ in range(n)]
dp[0] = v[0].copy()
for i in range(1, n):
for j in range(3):
for k in range(3):
if j == k: continue
... |
b45cd7e4161423d9101d811eca274a894b3510fc | 5723ed6fe85e072bd348b930b64c504e4dd63dfa | /net_aplication/src/CmdParams.py | 7dadc3de677431207340ccc31412653fa27a5779 | [] | no_license | Basill-ini/Specialist | 199a1fd71b348bf50fb8a5b7a29042378142cd8e | c805da457038022d9bb79629debdcfa8f4dc90ca | refs/heads/master | 2022-07-17T06:41:53.480957 | 2020-05-15T14:16:48 | 2020-05-15T14:16:48 | 240,296,431 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,329 | py | CmdParams.py | #!/usr/bin/env python 3
# -*- coding: utf-8 -*-
import argparse
import logging
from pathlib import Path
class CmdParams(object):
def __init__(self):
self.__args = self.__get_parser().parse_args()
def __get_parser(self):
parser = argparse.ArgumentParser(description='Here may be your descript... |
09395a9809f6035c01c9c32c34b173a109ea36d4 | 16e8578115fec18cdb79d931272c8e1f639c4183 | /Estruturas de Dados/Lista_duplamente_encadeada.py | 78168dc56a21c32ba68cfeba364e36b422a84f64 | [
"MIT"
] | permissive | GabrielCavalcanti13/Algorithms__Data-structures-IF969 | 81a9249cceab804d5b32eded783d2a45ff35d4aa | 4573013dcad4c7c98ed9e5e504737f092e1d79e4 | refs/heads/master | 2020-03-24T19:35:50.435116 | 2018-09-10T21:12:16 | 2018-09-10T21:12:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,935 | py | Lista_duplamente_encadeada.py | '''
Universidade Federal de Pernambuco (UFPE) (http://www.ufpe.br)
Centro de Informática (CIn) (http://www.cin.ufpe.br)
Graduando em Sistemas de Informação
IF969 - Algoritmos e estrutura de dados
Autor: Gabriel Cavalcati (gcm2)
Email: gcm2@cin.ufpe.br
Data: 15/04/2018
Copyright(c) 2017 Gabriel Cavalcanti de... |
b68834511e72af206fce1f9be09d12fecf1eaa87 | aef50b14e3c1019cda3c0f0e9c292ca693cdbe35 | /Ch.12 - Web Scraping/12- textInput.py | 8da0c143618cc751b810cd91e605a869bbf6d691 | [] | no_license | Ttibsi/AutomateTheBoringStuff | 52692864767294a356b4afc62fa803e46fc68f2c | cfc1798b0ac31ea7c9b05bb1c35083b458a60b82 | refs/heads/master | 2023-08-11T07:26:47.256003 | 2021-09-17T12:59:53 | 2021-09-17T12:59:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 457 | py | 12- textInput.py | # Text input
from selenium import webdriver
browser = webdriver.Firefox()
browser.get('https://login.metafilter.com')
userElem = browser.find_element_by_id('user_name')
userElem.send_keys('user name here')
passwordElem = browser.find_element_by_id('user_pass')
passwordElem.send_keys('password')
# This is the same ... |
5614033d635d934fb54cf839e627f0e39e55cc21 | 1ae0f4fc29aa127dd4874237e9e980447ebe61c6 | /tap_itunes/utils.py | 3ef249b1249edba2f8802d2e6363616e73984730 | [] | no_license | jgooly/tap-itunes | 66c319bf238f9a2b9693a5dd88408266628dd791 | 58079cd4c8f16933b448faa72c0d860674c574e7 | refs/heads/master | 2020-03-27T01:57:27.054002 | 2018-09-04T21:30:44 | 2018-09-04T21:30:44 | 145,756,610 | 2 | 0 | null | 2018-09-04T21:30:44 | 2018-08-22T19:59:48 | Python | UTF-8 | Python | false | false | 4,633 | py | utils.py | """This module contains a small collection of helper functions."""
import json
import os
import re
import singer
import pendulum
def get_abs_path(path):
"""Returns the absolute path."""
return os.path.join(os.path.dirname(os.path.realpath(__file__)), path)
def get_json(path):
"""Loads a .json file."""
... |
1f9912f311e74d17d8df755ceb550ebd2b3c521e | 172b175760dc1a19b3b8e7130f0b88e1f4ee63cf | /mpi_invert.py | 1b6d3452b686fc6f97d7270049f1427646f9fdb7 | [] | no_license | ivanzmilic/hazel_rout | a637d9ece3876a3aa2323e1aaa70478e94d0bae0 | a4b7eb0f4bb94fb3e8d840069c2d20497989d4d1 | refs/heads/master | 2022-07-31T06:29:43.673747 | 2022-07-25T12:04:46 | 2022-07-25T12:04:46 | 210,447,097 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | mpi_invert.py | import hazel
import h5py
import sys
conf_file = sys.argv[1]
iterator = hazel.Iterator(use_mpi=True)
mod = hazel.Model(conf_file, rank=iterator.get_rank(),working_mode='inversion')
iterator.use_model(model=mod)
iterator.run_all_pixels()
|
e5c29e72620fa721effff2ec66930753dc861c06 | 3212463ecb4825f510e674e1e3ad817c10f672c2 | /generate_scene_poses.py | ab1cd14bbcc030b1a954ede0d0c5509ddad1c718 | [] | no_license | zinsmatt/Scene-Generator | e7b49b8f54e69f09724cdc76b4f773637d2f7524 | 8958af4dedc86dfe41a4f654a8bad78d745e892c | refs/heads/master | 2023-03-08T09:42:55.351113 | 2021-02-22T15:33:19 | 2021-02-22T15:33:19 | 273,195,992 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,380 | py | generate_scene_poses.py | import bpy
import os
import numpy as np
import cv2
import json
import glob
from bpy_utils import *
clean_obj_lamp_and_mesh(bpy.context)
mode = "train"
# mode = "test"
fp = "/home/matt/dev/Scene-Generator/output_data/" + mode
table = load_mesh("/home/matt/dev/Scene-Generator/data/table/table.obj")
mug = load_mes... |
5869514392557e7a6bdc077d74ce2aaefdeb23c5 | d3e11b4b6d05a89ad68ffc9b483aba17387a31aa | /1Dmodel.py | e3b91bd42fb1684496b10f9ae2b576c9d735d536 | [] | no_license | vitorhirata/eco-evolutionary-model | 3105dac87c6081ac4bc58be9e438cf94a0ced155 | 1a4e8bfd1ba35d500bd7d1caabc35f72c6386ab1 | refs/heads/master | 2022-01-20T13:15:57.723167 | 2019-08-21T00:46:30 | 2019-08-21T00:46:30 | 72,113,488 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,359 | py | 1Dmodel.py | from numpy import *
import matplotlib
import matplotlib.pyplot as plt
from scipy.integrate import odeint
c=1.0
b=5.0799
beta = 5.831E-6
delta = 1.6369
lamb = 150.54
ni = 14000 # 7500 # 14000
r=348.145
T=0.00013
P=1
b=b*T*P
c=c*T*P
beta = beta*P
ni = ni*T
lamb=lamb*T*P
r=r*P
t_max = .0008/T
t = arange(0,t_max, .00000... |
e3cb158fc74742501bebae38c940ae93075203a3 | 152243a8a816f588c1a59c4fd92493c0f7736f3b | /count-servers-that-communicate/count.py | 5ff00d8b03e76de73b3ac296101a1e7eb51dd4d9 | [
"MIT"
] | permissive | HeftyB/code-challenge | 442de7adddd00c3dbefadb919e567aa56f5dc5b6 | e23d9182f1da9bbd9bf3d2d97a22652513ec1b7d | refs/heads/master | 2023-05-01T17:16:24.294954 | 2021-05-20T02:16:34 | 2021-05-20T02:16:34 | 297,471,495 | 0 | 0 | MIT | 2021-01-29T04:54:26 | 2020-09-21T22:04:56 | Python | UTF-8 | Python | false | false | 2,533 | py | count.py | """
You are given a map of a server center, represented as a m * n integer matrix grid, where 1 means that on that cell there is a server and 0 means that it is no server. Two servers are said to communicate if they are on the same row or on the same column.
Return the number of servers that communicate with any other... |
4c5b242aa60cdc6069fdf6d030d152d8299655cd | 287add3abe5c6cc75dccbccd06e8b2a875e87481 | /cli_interface/tqdm/ex01_tqdm_basics.py | 5d25c5b6567d01a67ba6146109396b53ff226755 | [
"MIT"
] | permissive | it-engineer-me/pyneng-examples | 23db0cba8e839fd608430d71a0983f8ae6dc7ce0 | 736a55dc92b3f8fdc33d07d424f9b8c07143e84d | refs/heads/main | 2023-08-26T07:38:10.302257 | 2021-11-04T18:29:25 | 2021-11-04T18:29:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,092 | py | ex01_tqdm_basics.py | from concurrent.futures import ThreadPoolExecutor, as_completed
from pprint import pprint
from scrapli import Scrapli
from scrapli.exceptions import ScrapliException
import tqdm
import yaml
def conn_ssh_threads(devices, command, limit=3, progress_bar=True):
result_dict = {}
with ThreadPoolExecutor(max_worker... |
f6d1773a531ddb72e6277ef4b1b182297ab0c938 | 762d09461230f1ab603563335073304b59c43f5d | /api/tasks/tasks.py | a2115430da6312de0bada8213150fd01b2f89f84 | [] | no_license | ThiagoRuis/chat-api | 8a1b3bdcb9ff249d2037b5075eee7e33aeba2fbe | 87c2829c825a59489469a49ab7a2c349da08bc9b | refs/heads/main | 2023-07-21T14:14:28.524514 | 2021-09-01T19:05:18 | 2021-09-01T19:05:18 | 362,982,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,186 | py | tasks.py | import json
import signal
import socket
from contextlib import contextmanager
from celery import Celery, shared_task
from celery.utils.log import get_task_logger
from kombu.exceptions import ConnectionError, HttpError, OperationalError
from mongoengine import connect
from tasks.celeryconfig import Config
from models ... |
897697e14510ed07b7b385ba9ff39a5606665015 | 4da0631d5a809ebf058122a633a6436b1518b24b | /server/models/board.py | 1997b409409f7141b321cf82ba2e01049af60dd4 | [] | no_license | djolez/SEEDS | 5483d1a07f8dd9194afc01e4c3e4792434480821 | e4d8b56635420a4c8c1bbf5b3ae132d71c4fe7fb | refs/heads/master | 2020-09-08T16:44:27.929475 | 2018-05-11T08:36:35 | 2018-05-11T08:36:35 | 94,436,343 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,654 | py | board.py | import logging
import json
from peewee import *
from playhouse.shortcuts import model_to_dict, dict_to_model
import config
from datetime import datetime
from .base import *
import comm_implementation as comm
logger = logging.getLogger(__name__)
class Board(BaseModel):
name = CharField()
class Meta:
... |
99fae4f7925e6d4a00de36c93d387da8c7334be7 | a626636f537685b580662cdaba59df545443707f | /apps/address/migrations/0002_auto_20210424_0054.py | 4535d5e4f7ab22d820d477fc3b9e76ba261dddcc | [] | no_license | friacode/rambutan | a26e9575cba94d2d37416a268935f6a3ad196083 | cb00f850293e3ad5e1a997f4e6db409643dbeb8f | refs/heads/main | 2023-04-28T13:31:20.566681 | 2021-05-10T12:47:55 | 2021-05-10T12:47:55 | 355,410,011 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,168 | py | 0002_auto_20210424_0054.py | # Generated by Django 3.1.5 on 2021-04-23 15:54
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('address', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='address',
name='name',
fiel... |
b58558f0cdc13c5f624439b7671866db3143d767 | 27f2ee8c92b32a4ef2915148c4886f1da45774ee | /Chapter8/simluation_study_code/result_analysis_CL_simulation_SJC_FZ.py | b1a55e5dffaee7efe2a9d8cf6aa987025cb0c334 | [] | no_license | xuanxin-L/Dissertation_Work | 5589e3c4cfb363c22312e54375df85aeeb487d93 | 2cefebeeb04e48419c78d2a7753665c93456b65c | refs/heads/master | 2022-06-14T14:34:44.522936 | 2020-05-03T21:58:13 | 2020-05-03T21:58:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,054 | py | result_analysis_CL_simulation_SJC_FZ.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 24 10:01:11 2019
create video of identified open torque trajectories.
@author: huawei
"""
import sys
sys.path.append('../')
import numpy as np
import matplotlib.pyplot as plt
from annimation_open import animate_pendulum
from simulate import map_va... |
6dafe7f4942a46e10a26cb6113b1a3a9f8d8d786 | 22cb6affd32cce460b51194a7e012a5a2a7fc474 | /ArticlesManagement/migrations/0007_auto_20160101_2012.py | 4a60263a19230bfcbf1593356def26efaa169371 | [] | no_license | nnaderian/EducationalProject | f64e33173726d30af6621e1f29d740e701aff45a | f6231a97f2078be9d5b3a292bd853cfe4474d3ab | refs/heads/master | 2021-01-10T05:43:32.283362 | 2016-01-02T11:26:26 | 2016-01-02T11:26:26 | 48,543,893 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,312 | py | 0007_auto_20160101_2012.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ArticlesManagement', '0006_auto_20160101_1858'),
]
operations = [
migrations.AlterField(
model_name='article',
... |
e7f5eb3658225904f09b27758bcba6bad41f5fbe | e3dcfb1ac50d19c33ae88b04592d94aabafa37d0 | /deploy/src/classify.py | ca252a78e273ad2f566609ba10357b71865745c9 | [
"MIT"
] | permissive | antonpaquin/IsItAnime | 6ba875b8567c844ccf230e26a732935f65f9162d | 72c2c15ae9bf3907a25b40378831ca4efd85cc5b | refs/heads/master | 2020-03-19T02:36:11.091363 | 2018-06-13T03:33:43 | 2018-06-13T03:33:43 | 135,643,381 | 12 | 1 | null | null | null | null | UTF-8 | Python | false | false | 297 | py | classify.py | from keras.models import load_model
from vectorize import vectorize
import numpy as np
model = load_model('is_it_anime.h5')
def classify(data):
vect_input = np.asarray([vectorize(data, scale_size=512)]) / 256
results = model.predict(vect_input)[0]
return [float(x) for x in results]
|
92c061f1df0ad9372bdb842f333f47a81a4ff8a4 | acf7457d3a799cb9bff12686d2d616688bcd4b5b | /packages/python/plotly/plotly/matplotlylib/renderer.py | 147d50fe0a9beebbe83b22c2cf650a3bee71fd57 | [
"MIT"
] | permissive | plotly/plotly.py | f4f61639f08160f16195efc95b5901dc5a937346 | 975a704074f01c078e0fdfa32bdf17130bf89e69 | refs/heads/master | 2023-09-06T06:15:08.340035 | 2023-08-24T12:28:14 | 2023-08-24T12:28:14 | 14,579,099 | 14,751 | 2,989 | MIT | 2023-09-08T19:55:32 | 2013-11-21T05:53:08 | Python | UTF-8 | Python | false | false | 35,448 | py | renderer.py | """
Renderer Module
This module defines the PlotlyRenderer class and a single function,
fig_to_plotly, which is intended to be the main way that user's will interact
with the matplotlylib package.
"""
from __future__ import absolute_import
import warnings
import plotly.graph_objs as go
from plotly.matplotlylib.mple... |
68be4bc28fc60f86183b2de2340267a5eae49df3 | ced74c5afc758c264c45237564600becdfe7b5bf | /Exercises/Chapter7/3.Pizza_toppings.py | 348bf81cf6c12db3c5830b2a56157574c5603a16 | [] | no_license | 31337root/Python_crash_course | 47d5f57fc77e23aad310d8d0ad9b8368312f79eb | f35d4fcdb048e9bd2abcc670c5edfc850487cd4c | refs/heads/master | 2021-01-26T13:28:38.118727 | 2020-04-14T18:06:45 | 2020-04-14T18:06:45 | 243,441,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 233 | py | 3.Pizza_toppings.py | topping = ""
while topping != "quit":
topping = input("Give me a topping for your pizza\nOr write quit to exit: ")
if topping != "quit":
print("You add " + topping)
else:
print("Good bye.")
break
|
146b4333d58f11b8a47e268292c6150980125a72 | db8b79e3321e0c7c27cb6b18c239c5322d1460ee | /DjangoOne/lib/python3.6/_dummy_thread.py | 03d23925e8447033b11458b07cbae2a1c60d4f79 | [] | no_license | gitbitcoins/gitBit | 3f9f3b8dbe53404299f2492a51bb6da4c9c3a4dd | 2a2524095cd6807af4ecea09891c62951975c13b | refs/heads/master | 2020-06-03T13:09:14.966812 | 2017-06-12T20:06:28 | 2017-06-12T20:06:28 | 94,130,871 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 57 | py | _dummy_thread.py | /Users/CyberAstro/anaconda/lib/python3.6/_dummy_thread.py |
daac6f95835e15435ddea9b637957bd75417e323 | 640e91085c1c527c1b41f9921c290f738179415b | /ea/solve.py | ce437f6b49ec52032e7aaec821cf36bb0f239829 | [
"MIT"
] | permissive | Exp-Optimization-Tools/RBN-Reservoir-Code | 3deb62f3135d8a0a3f47c1d1f906805e7208f9a7 | 1f68598d7e9349083816c7b91e98f7b066e991dd | refs/heads/master | 2021-09-02T10:29:03.381017 | 2018-01-01T22:03:06 | 2018-01-01T22:03:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,615 | py | solve.py | import logging
import json
import arrow
from ea.genotypes import SymbolVectorGenotype
import os.path
try:
import numpypy as np
except:
import numpy as np
logger = logging.getLogger()
def do_logging(adults, generation):
logger.info('Generation: %s' % generation)
logger.info('Current generation best in... |
f138cac68e9b286aa855836c81216ef8d73aa9a6 | 42b021a4eb1c96ae9839702ef397feebe40769ef | /demisauce/trunk/pavement.py | ba56065d62c4cfc6097e04f0c6e4d893f2061511 | [
"MIT"
] | permissive | cccarey/demisauce | 09c044a8e5706747f9186bba08db0867eb2c1869 | f527f1fd5e4a3f63db4ba0d06f4ed0451f6c61f9 | refs/heads/master | 2020-12-25T12:47:05.796441 | 2009-02-20T01:23:02 | 2009-02-20T01:23:02 | 121,276 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,764 | py | pavement.py | from paver.defaults import *
#from paver.release import setup_meta
import paver.doctools
#import paver.virtual
import paver.setuputils
options(
setup=Bunch(
name="demisauce",
description='Shared Services for use within your application via rest',
long_description="""
Demisauce
==========... |
4f83335ce03c236a3f0a51534a225c8439e9ca81 | b4ddc954a7dc0d24352de64a567c10c9e7231eee | /LeetCode/Triangle.py | 20261400b817bc26a83acea2891b53c15c7ea6c2 | [] | no_license | sharadbhat/Competitive-Coding | 4d80c99093bf05a2213799c95467309cf3e40d07 | 79eec04cc6b1ac69295530bda1575ecb613a769e | refs/heads/master | 2023-07-05T02:25:33.397140 | 2023-06-27T05:38:12 | 2023-06-27T05:38:12 | 78,031,600 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | Triangle.py | # Leetcode
# https://leetcode.com/problems/triangle
class Solution:
def minimumTotal(self, triangle: List[List[int]]) -> int:
prev_level = [triangle[0][0]]
for level in range(1, len(triangle)):
new_level = []
for i in range(len(triangle[level])):
cost = tria... |
79da86033007c465acf1614915976d5790f3c685 | 3e59e8959ae2872cc605b3a9bcbf887010ede567 | /calculateBounds.py | 4401db87a7f33400fc9152fd83c63211fe087146 | [
"MIT"
] | permissive | amnh-sciviz/ir-clouds | 122574ab194ca7c35d96cdb8f117148288bbc183 | cb526106f65e82101e0e22e1749925f08b833b09 | refs/heads/master | 2020-04-08T16:56:50.887035 | 2018-12-11T22:04:20 | 2018-12-11T22:04:20 | 159,543,303 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,387 | py | calculateBounds.py | # -*- coding: utf-8 -*-
# Given an image with mercator projection, try to determine its bounds based on its aspect ratio
import argparse
import math
import os
import numpy as np
from PIL import Image
from pprint import pprint
from projection import mercatorToEquirectangular
import struct
import sys
# input
parser = ... |
d55bb04340a19632a600276361180d763ca9468b | 7ac7ba42dd47c432d2aa4320a37a7410b6487bc7 | /pmsb_web/relatorios/views_api.py | bedceca6c0d0e21219d86fb5962b7ecaaf357e97 | [] | no_license | catalunha/pmsbweb1 | e3c88367e2ad27be2ccd76badf3c23eb11fc1540 | d9459df5305a16886144391c942a37b442d14e36 | refs/heads/master | 2023-05-25T03:22:57.947555 | 2019-08-03T20:27:11 | 2019-08-03T20:27:11 | 177,639,809 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 586 | py | views_api.py | from rest_framework import viewsets
from relatorios.serializers import (
RelatorioSerializer,
BlocoSerializer,
FiguraSerializer,
)
from relatorios.models import (
Relatorio,
Bloco,
Figura,
)
class RelatorioViewset(viewsets.ModelViewSet):
serializer_class = RelatorioSerializer
queryset ... |
b1e46d837995b602ae645186285a3ce657efc2d6 | 926607d7e14b54f7f0f1bed731028435986831b2 | /comment/serializers.py | 0dfa5e90950f14e02e8ead4b9f3ce704676f165b | [] | no_license | z66980437/circle_say | 5a26f9a60ea2797636b034c81f5e7dc30e2e725a | f027ade23b01317e7240d3436798a38855b242b3 | refs/heads/master | 2022-12-11T19:38:26.129954 | 2019-03-04T06:29:39 | 2019-03-04T06:29:39 | 167,508,830 | 0 | 0 | null | 2022-12-08T01:37:30 | 2019-01-25T08:00:47 | Python | UTF-8 | Python | false | false | 926 | py | serializers.py | """__author__ = ErYang"""
from comment.models import Comment, ComImg
from rest_framework import serializers
from user.models import User
class ComImgSerializer(serializers.ModelSerializer):
class Meta:
model = ComImg
fields = ('img_url', )
class UserSerializer(serializers.ModelSerializer):
... |
28c6d2ea31f3ae1d8aae109e34154e3dd8c181d7 | 7af574c7c99effc8e406e8d7ca5acf0ce4011e30 | /totango_touchpoint.py | a59ae25f4f8294eff9c9dd64eb6cf409c07b86c3 | [] | no_license | thidelrios/totango_touchpoint_search | fc6ff6162b2f1e4292aa5a28e78d00e2388cc7ae | 549c8d635415e36c409ae5f55175e63a82cd5abc | refs/heads/master | 2020-04-21T10:04:39.541800 | 2019-02-07T14:09:15 | 2019-02-07T14:09:15 | 169,475,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 974 | py | totango_touchpoint.py | import requests
import json
import time
#Creating all variables
API_TOKEN = "<Totango-Token>"
account_id = '<Totango-account-ID>'
success_flow = '<Totango-SuccessFlow>'
headers = {
'app-token': API_TOKEN,
}
params = (
('account_id', account_id),
)
#Getting all touchpoints and tasks (from 'account_id' Time... |
80d8b3912b74fe9aea1fafd2de9adda63b848b6a | 4a1e1fc4c80637cb76a7b135a625945906cf3a91 | /blog/views.py | b3727183c65c64c612a392eef44254a2f3c6967f | [] | no_license | lksb/Projekt | 1a069373d9ab47bc211b4cef6d02436d0ea86604 | ad8b7b15e78a160351e301e1bde333bc0c59405b | refs/heads/master | 2020-06-07T18:09:35.156665 | 2019-07-27T20:24:19 | 2019-07-27T20:24:19 | 193,069,178 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,164 | py | views.py | from django.shortcuts import render
from django.utils import timezone
from .models import Post
from django.shortcuts import render, get_object_or_404
from django.shortcuts import redirect
from .forms import PostForm
from django.shortcuts import render_to_response
from django.views.generic.edit import CreateView
# event... |
373e7bc70f802abca0a4e6d46be0f1b9977e1d0f | bfca1223edb48b2f98d1a5b76419873d3e7fd9cb | /056_wrong_types_values.py | 9e76e37a22231c9c796674c5f6f0e44e8f8c2524 | [] | no_license | jossrodes/PYTHONFORDUMMIES | 6adddb9286efea9e8395375b96672e939370930a | 5a975ac6e1d061a79076b4608c1a70f309bd97a6 | refs/heads/master | 2021-07-20T18:35:46.704179 | 2017-10-31T01:53:52 | 2017-10-31T01:53:52 | 107,997,622 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 40 | py | 056_wrong_types_values.py | x = raw_input("Enter a number: ")
x * 2 |
155368a1107765b0829f378254e1ddee71a7a144 | 6443a587e16658a58b884a2e5c6dbbab1be50674 | /Data Structures/DoubleLinkedList_class.py | 2daa8da2c388f05ca6e1f809c35012f2587a8659 | [] | no_license | xiaochenchen-PITT/CC150_Python | a6cbe213946851639a827068961934920b6c3e57 | e96394265d8a41a1b4558d5d2b34aa34af99662f | refs/heads/master | 2020-12-24T17:18:14.606804 | 2014-11-08T21:48:20 | 2014-11-08T21:48:20 | 25,654,100 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,378 | py | DoubleLinkedList_class.py | class DLLNode:
"""DLLNode stands for Double LinkedList Node"""
def __init__(self, data = None):
self.data = data
self.next = None
self.prev = None
class DoubleLinkedList:
"""DoubleLinkedList class has Insert, Delete, Reverse methods"""
def __init__(self):
self.head = DLLNode()
self.tail = DLLNode()
def... |
78e7f77a0af8685b826796bbdb77893b56f40d04 | d955a98383c4b5cdc5e982251e8f327b63b82b89 | /paddtf/ops/nn_impl.py | 27d85700b6c0f57bb2b886f8147eeead1f4526b4 | [] | no_license | chfhf/dmr-paddle | 4fabc7636ccd5109226430de9de6fe6d8cbb478f | 3f2e2658e3f35c221f5164f6a0ffb625dc8fb59a | refs/heads/master | 2023-06-19T23:54:10.633846 | 2021-07-08T11:05:17 | 2021-07-08T11:05:17 | 384,095,526 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 294 | py | nn_impl.py | import paddle
def sigmoid_cross_entropy_with_logits(labels=None, logits=None, name=None):
return paddle.fluid.layers.sigmoid_cross_entropy_with_logits(x=logits, label=labels, ignore_index=- 100, name=name,
normalize=False)
|
b0f6725e4d5235b6bf99f97a819afd743875478c | 03626e4207e8f48bc7b365d037fb7976fb9c5bde | /poisson/results/err_plot.py | b27c323cdfdf111004b979dafe732651a92d8d8b | [] | no_license | Wirkungsfunktional/TMA4280LABS | fd8ca059104b1a687239ec87ea5b984343f5c086 | 6a70b477cbfd6082975d35b4e41d406ea22c0602 | refs/heads/master | 2021-01-17T15:59:09.231758 | 2017-04-18T08:00:09 | 2017-04-18T08:00:09 | 82,956,978 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,712 | py | err_plot.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
def main(args):
t1 = np.loadtxt("P1/err.txt")
t2 = np.loadtxt("P2/err.txt")
t4 = np.loadtxt("P4/err.txt")
t8 = np.loadtxt("P8/err.txt")
t12 = np.loadtxt("P12/err.t... |
8ee932603120f18c4c12d239e1fe6542832db999 | 11082b802915594c4489710869edf391e909f777 | /alien_invasion/alien.py | 330046ec12c11323d795c1118a6a5eff0ba4906c | [
"MIT"
] | permissive | abhidya/alien-invasion-game | 472c08e845032311fdcb661490c566559b3ff650 | e3dbf295b689b3f906234f6f9d72e9ea7604c435 | refs/heads/master | 2020-08-02T18:06:26.092908 | 2019-09-29T06:25:37 | 2019-09-29T06:25:37 | 211,458,782 | 1 | 3 | MIT | 2019-09-29T02:26:04 | 2019-09-28T07:01:21 | Python | UTF-8 | Python | false | false | 3,363 | py | alien.py | import os.path
import pygame
from pygame.sprite import Sprite
import random
from game_items import GameItems
from game_stats import GameStats
from settings import Settings
class Alien(Sprite):
"""A class to represent a single alien in a fleet."""
def __init__(self, ai_settings: Settings, screen: pygame.Sur... |
5b6a48301e11397e75e4074ae879260f024cf744 | a5f8c49843fc27739627f1db7d163ebf93b91143 | /kbsbot/training_tool/mongo.py | 14e37666d609784f8b12d9387163ae7d6743e494 | [
"MIT"
] | permissive | astandre/cb-training-tool-ms | f5487a1680a599aa6657a6233c1e85648a181707 | 38836adf9d21774fa71b65fdd2e0905dbbdf4cf4 | refs/heads/master | 2021-01-02T01:16:01.781285 | 2020-02-19T02:59:46 | 2020-02-19T02:59:46 | 239,428,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,408 | py | mongo.py | from pymongo import MongoClient
from pymongo import DESCENDING
from bson.objectid import ObjectId
import os
MONGO_HOST = os.environ.get('MONGO_HOST')
client = MongoClient(MONGO_HOST)
# client = MongoClient("mongodb://localhost:27017/")
db = client["interactions_db"]
interactions = db["interactions"]
def update_entr... |
5c868198d5e80b5aafe105654618dd7a2a4bb2d2 | d674f1b1b47d4e526e28c23372fda453b86dc456 | /HighMassAnalysis/Skimming/test/skimLeptonLeptonTau_cfg.py | 27d1fc430965e02d084250a113e02f167ab06dc1 | [] | no_license | amkalsi/TauPOGUpgrade | 5ac29a8f1dd2fcfca922aa3ca88cca95cad5f72a | d348d2325051c783f12c79df721b415f50b89c45 | refs/heads/master | 2021-01-18T17:18:51.785086 | 2015-03-10T08:07:28 | 2015-03-10T08:07:28 | 24,678,260 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,485 | py | skimLeptonLeptonTau_cfg.py | import FWCore.ParameterSet.Config as cms
process = cms.Process("leptonLeptonTauSkim")
process.load("FWCore/MessageService/MessageLogger_cfi")
process.MessageLogger.cerr.FwkReport.reportEvery = 100
process.MessageLogger.cerr.threshold = 'INFO'
process.options = cms.untracked.PSet( wantSummary = cms.untracked.bool(Tr... |
3ce5f6e89fc80156c5d20c3785594b3193a3c1c5 | e878bb0513d1c582c7ba3f5c1f62fb2e8b85e744 | /libs/leiden_algorithm/leiden_algorithm/DataBlockingAlgorithm.py | b223e515d8295f78b73f2210c6660a456502c2d7 | [] | no_license | iuni-cadre/WoS-disambiguation | 5109e4ef4b888f2137e7327279f63f21a7f845ab | d65cc1563da45ca9298f701f936b036646bd9a61 | refs/heads/master | 2023-03-28T18:05:59.369953 | 2021-02-16T16:42:46 | 2021-02-16T16:42:46 | 298,474,201 | 0 | 0 | null | 2021-02-15T22:03:12 | 2020-09-25T05:15:21 | Jupyter Notebook | UTF-8 | Python | false | false | 18,173 | py | DataBlockingAlgorithm.py | import itertools
# import numpy as np
import pandas as pd
import sqlite3
# import json
import os
import shutil
import hashlib
from tqdm import tqdm
from .utils import *
from joblib import Parallel, delayed
class DataBlockingAlgorithm:
def __init__(self, CITATION_DB, n_jobs=30):
#def __init__(self, ES_US... |
2165ff2a29d403a0a157b807aa585718eff468e9 | a6a89a3838b828e39e6641af71eeb104e4326f91 | /LINCHESS.py | 6dad35259843333abe52c4f3e8183deda0130df2 | [
"MIT"
] | permissive | ganeshbs17/PythonAndCPP-Programs | d2d817c7cc93f2461e9906077872c5b12e3c13f2 | 7a00c3fad84dc2e721e29732f998e151bd122213 | refs/heads/master | 2023-08-13T15:33:23.025939 | 2021-10-16T07:04:19 | 2021-10-16T07:04:19 | 417,022,562 | 0 | 0 | MIT | 2021-10-16T06:57:22 | 2021-10-14T06:59:02 | null | UTF-8 | Python | false | false | 335 | py | LINCHESS.py | t=int(input())
l = []
while (t>0):
N,K=input().split()
N,K=int(N),int(K)
A=input().split()
A=[int(i) for i in A]
lst=[]
for i in A:
if (K%i==0):
lst.append(i)
if (len(lst)==0):
l.append(-1)
else:
l.append(max(lst))
t-=1
for i in l:
... |
5825ea9f1dc01a1d479b6cc167fdd7cdf3c8f99f | 0f284d354691e20f146efc95b6c8561d4ee0b8ee | /cs352/lecture/toBinary.py | 07e9fa2cc5bf1a3639d36927fcce4e4bac0c0828 | [] | no_license | kevindang88/edu | cc62974b63ca5b796f80d35160fc03fa0c091bc2 | d62bedd6f45b2b319f5b484efe3d71fb52dec475 | refs/heads/master | 2020-03-22T07:09:26.739784 | 2018-07-23T12:22:42 | 2018-07-23T12:22:42 | 139,681,818 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 608 | py | toBinary.py | def toString(n):
if n == 0:
return
else:
toString(n // 2)
print(n % 2, end="")
def toBinary(n):
if n == 0:
print(n)
return
else:
toString(n)
print()
def toBinaryStr(n):
if n == 0:
return ""
else:
return toBinaryStr(n // 2)... |
5952a5b88c984eac972a1c900497364ab2ed76f6 | 78741f298c51868456b7d35af9ff109edc119a95 | /35-Search Insert Position.py | f5eb58682f2f952b65f1eceec46241e49aa472e8 | [] | no_license | hustacer/algorithm | 1326171bc49307d08919d47b7ebe12ea35019494 | 6d48cf2a4f7eab522a59348953f556f7664a7bb1 | refs/heads/master | 2020-03-18T19:37:32.112840 | 2018-06-04T13:44:48 | 2018-06-04T13:44:48 | 135,165,937 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 487 | py | 35-Search Insert Position.py | #Given a sorted array and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
def searchInsert(nums, target):
left=0
right=len(nums)-1
while left <=right:
mid=(right-left)/2+left
if nums[mid]==target:
return mid
elif nums[mid]>tar... |
eb8d4ea223daf498170e315de7eb008a10bf29ad | fea4e59ba2fa3722e899f3f95ed1127299730412 | /archive/char_level_rnn_with_attention.py | 42e49ba0164fca90544845b1c3cb33b1d6eb0f04 | [
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | permissive | gregorysharkov/pep_names | 7a6a4407d5ae4357bc987763f421b685c404640f | 64d60b5c8f093890e3cfaa46905ae88ffc2b7fea | refs/heads/main | 2023-08-29T04:20:29.723471 | 2021-10-25T08:02:17 | 2021-10-25T08:02:17 | 386,404,391 | 0 | 0 | Apache-2.0 | 2021-11-03T12:55:01 | 2021-07-15T19:36:24 | Jupyter Notebook | UTF-8 | Python | false | false | 6,553 | py | char_level_rnn_with_attention.py | import tensorflow as tf
import pandas as pd
import numpy as np
from model_settings import InnerModelSettings
#custom layers
class Attention(tf.keras.Model):
"""
Attention layer for inner model
"""
def __init__(self,units):
super().__init__()
self.W1 = tf.keras.layers.Dense(units)
... |
ec1fbf2fb43c6f6f6cb0fb6dc1bd44a8e7ce3a5d | daf3a9e8b75b41ba70c087b4aa6d207ff7f8576a | /main/urls.py | 04b2c3a4fa3ebad9485c9ead93638827037e0285 | [] | no_license | NikolskayaAA/todo_list | 0105f7ff7c6276ba62a3a84b79cedc3b8b09f819 | 5e1a3cffd1a27fc5304861b7189c566d09288e43 | refs/heads/master | 2022-05-17T02:29:46.822257 | 2020-04-26T16:11:01 | 2020-04-26T16:11:01 | 255,723,076 | 0 | 0 | null | 2020-04-26T16:11:38 | 2020-04-14T20:50:47 | CSS | UTF-8 | Python | false | false | 201 | py | urls.py | from django.urls import path
from main.views import main_view, edit_view
app_name = 'main'
urlpatterns = [
path('', main_view, name='main'),
path('edit/<int:pk>', edit_view, name='edit'),
]
|
c46c0013ce854c4d894e0fb588ef8a728239588e | df6b72819050521090457421c7874db9c9fece3d | /day06/day06.py | 138a6a8e434f951931a4e085aa7501b4ae5266e5 | [] | no_license | arknave/advent-of-code-2020 | a00adac9310af6d17ee051a157824c03dd6a0a3a | 88c993bbab213ea2466e2ab91a30e1c37f16b8af | refs/heads/main | 2023-02-04T18:03:45.913066 | 2020-12-30T17:35:24 | 2020-12-30T17:47:25 | 317,700,414 | 59 | 13 | null | null | null | null | UTF-8 | Python | false | false | 615 | py | day06.py | from collections import *
from functools import lru_cache
import heapq
import itertools
import math
import random
import sys
def main():
fin = open("day06.in", "r")
blocks = fin.read().split("\n\n")
part1 = 0
for block in blocks:
c = Counter(block)
part1 += len(c)
if '\n' in c:
... |