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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4a3ade146a01bc93108ba525a191d0f4fc777c9b | 811f4cdb25e26f3b27640aaa2e2bca93e660d2d7 | /src/anomalib/models/components/flow/all_in_one_block.py | f2ab1e17c372351bdd22788c8bdee20d621f06a3 | [
"CC-BY-SA-4.0",
"CC-BY-SA-3.0",
"CC-BY-NC-SA-4.0",
"Python-2.0",
"Apache-2.0"
] | permissive | openvinotoolkit/anomalib | 4467dfc392398845e816387267cdf979ff76fe15 | 4abfa93dcfcb98771bc768b334c929ff9a02ce8b | refs/heads/main | 2023-09-03T16:49:05.019269 | 2023-08-28T14:22:19 | 2023-08-28T14:22:19 | 423,775,360 | 2,325 | 454 | Apache-2.0 | 2023-09-14T11:21:33 | 2021-11-02T09:11:38 | Python | UTF-8 | Python | false | false | 12,649 | py | """All In One Block Layer."""
# Copyright (c) https://github.com/vislearn/FrEIA
# SPDX-License-Identifier: MIT
# Copyright (C) 2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import warnings
from typing import Callable
import torch
import torch.nn.functional as F
fro... | [
"noreply@github.com"
] | openvinotoolkit.noreply@github.com |
2f6e56a99087d6e94afa25eea1ce94be32f3127d | d906d1eb4f590deabb3c90ba9bb9dd6b11cabc55 | /web1/app.py | 8e1d00b00346a5d0c80c0b5615f4f791fec19f93 | [] | no_license | Lengoctruongson/lengoctruongson-fundametal-c4e21 | 83dfe671639faaf2bd2642f77b62df1c306db2f7 | 55affab6315f408f8c42a12b57775ec442a222f8 | refs/heads/master | 2020-03-26T20:02:56.120667 | 2018-10-09T16:41:34 | 2018-10-09T16:41:34 | 145,301,267 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,569 | py | #1. Creat a flask app
from flask import Flask, render_template
app = Flask(__name__)
ps = [
"Trong đầm gì đẹp bằng sen aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"Lá xanh bông trắng lại chen nhị vàngbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb... | [
"leson1871995@hgamil.com"
] | leson1871995@hgamil.com |
14d91c016f740d9564b17288e566a3efeee3fcfe | c77843e9d25458d4a848c41f7e88d942bcc0d7dc | /code/lib/nltk/eval.py | 4b8ca39cbde7a5dadf32d3b17f5fbde666b8c66e | [] | no_license | sethwoodworth/wikipedia-style-edits | 0cf99e9f184a8cafce8b8e3e92bbbd6dc0540659 | b660ac52ee2c901bc5358e2af2fa8be2d43f6a4c | refs/heads/master | 2021-01-22T03:12:54.954349 | 2008-10-15T21:32:23 | 2008-10-15T21:32:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,713 | py | # Natural Language Toolkit: Evaluation
#
# Copyright (C) 2004 University of Pennsylvania
# Author: Edward Loper <edloper@gradient.cis.upenn.edu>
# Steven Bird <sb@csse.unimelb.edu.au>
# URL: <http://lib.nltk.sf.net>
# For license information, see LICENSE.TXT
"""
Utility functions for evaluating processing mod... | [
"asheesh@fe7ecb3d-170a-0410-af80-b42c727aa7d5"
] | asheesh@fe7ecb3d-170a-0410-af80-b42c727aa7d5 |
65c961193678438ef37cfc7bff2d0c2383ddd805 | d767da4400de5b0d17bab56eeb678b4ff1052913 | /harifile.py | 1b506a1cd942ed997fb8479f420f87147594750d | [] | no_license | HARI5KRISHNAN/newproject | 9b792f8960bb0656b8e82e9d4a15284f0e72aff1 | d3dec2ce5b025e730157cf83d9df82278d9dda93 | refs/heads/master | 2021-01-05T05:00:00.639829 | 2020-02-16T12:34:21 | 2020-02-16T12:34:21 | 240,888,234 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28 | py | print("welocme to eduerka")
| [
"root@ip-172-31-25-170.ap-southeast-1.compute.internal"
] | root@ip-172-31-25-170.ap-southeast-1.compute.internal |
08e5f8f4f69fbeabf6340c5094a824952f014325 | 8304e371eff46389acf84c250dbb95af7087d260 | /sports_team_system/catalog/migrations/0016_auto_20200607_2019.py | 8e6f4a76e130a18ecf1eca058b40590a4cfb6f52 | [] | no_license | COYADI/System-Analysis | 601dbda423ce6e1549ade2c8864dd53b1ae346d6 | 308b19f13123edeba4f53b91f2a76d3305b39813 | refs/heads/master | 2022-11-02T21:04:55.664105 | 2020-06-11T03:24:20 | 2020-06-11T03:24:20 | 254,568,785 | 0 | 15 | null | 2020-06-08T11:33:55 | 2020-04-10T07:12:24 | HTML | UTF-8 | Python | false | false | 1,041 | py | # Generated by Django 3.0.5 on 2020-06-07 12:19
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('catalog', '0015_auto_20200607_2018'),
]
operations = [
migrations.AlterField(
model_name='noticing',
... | [
"b06705020@ntu.edu.tw"
] | b06705020@ntu.edu.tw |
46e1519a37697b33c70c2f43ee6217c51755e86e | b169e1ac175f0acf5e48d58ce1acd04e6e4be158 | /utils/logfile_parser.py | 832d1045ea605bf6720390d8e3465002a8d2f63f | [] | no_license | bip5/osr_closed_set_all_you_need | 20ec1380190d3a1eb13eebdeeddabaff4f91b019 | 0e57845f6a4a64f6a01a31dec6911c5cb5bf3c5d | refs/heads/main | 2023-08-17T18:12:47.691043 | 2021-10-13T22:30:35 | 2021-10-13T22:30:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,967 | py | import re
import pandas as pd
import os
import numpy as np
from matplotlib import pyplot as plt
pd.options.display.width = 0
rx_dict = {
'model_dir': re.compile(r'model_dir=\'(.*?)\''),
'dataset': re.compile(r'dataset=\'(.*?)\''),
'loss': re.compile(r'loss=\'(.*?)\''),
'cs': re.compile(r'cs=(.*?),'),
... | [
"sagarvaze@dhcp24.robots.ox.ac.uk"
] | sagarvaze@dhcp24.robots.ox.ac.uk |
792a326fad5224ee15c058836faae17f70de5ca2 | 30174fca608e3fb20664acb27bcbf4fb037ca4f1 | /foodrider/migrations/0016_auto_20200825_1822.py | c9ea4a488536f8777a044fb183d9e084b689fa35 | [] | no_license | jabir15/foodrider | f32e88b8c9d612bace39cf475d6dfa41800c98d3 | 724828f39ddd05e612030dfea846a7a8b5b017a8 | refs/heads/master | 2023-04-16T17:54:58.326973 | 2021-05-02T10:07:51 | 2021-05-02T10:07:51 | 290,949,621 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | # Generated by Django 3.1 on 2020-08-25 16:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('foodrider', '0015_auto_20200825_1820'),
]
operations = [
migrations.AlterField(
model_name='menuitemoption',
name='dis... | [
"jabir.hussain.aec@gmail.com"
] | jabir.hussain.aec@gmail.com |
27ca4ceae6de9d605e2bfc5c1fee240d3f1fe145 | 10300363f12e5a6a0ea6a69d0a6d210174499d60 | /times.py | 746272f2b9f1a029c66f51b8e55c0ba5edea3241 | [] | no_license | nedbat/point_match | 2da5cc12bf3f3866b35ec71ea227a5d21760ca97 | a6c19ed1d206ec1ad02b13e15b8d761192b32593 | refs/heads/master | 2023-06-22T04:16:09.638622 | 2019-04-01T21:25:09 | 2019-04-01T21:25:09 | 100,109,656 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,068 | py | import random
import timeit
if 0:
TRIES = 10000
for z in range(7):
n = int(10**z)
stmt='random.randint(1, 999999) in d'
setup='import random; d = {{random.randint(1, 999999): 1 for _ in xrange({N:d})}}'.format(N=n)
total = timeit.timeit(stmt=stmt, setup=setup, number=TRIES)
... | [
"ned@nedbatchelder.com"
] | ned@nedbatchelder.com |
7b535be1a7823f72cded96377305a79b7e8e5f84 | a408ccea1036482792a79eee9f5b835c1e4a4c8e | /Bolivian_Lowlands/Scenarios/Scenario_2_new.py | fb9dec645e487634be15ef5054d543ff77a4d59e | [
"MIT"
] | permissive | CIE-UMSS/VLIR_Energy_Demand | ae399ace372a7e5263b3276bb1a0ecded937d227 | 3a9c7a034ac6ff668c7734597daf4696f62ef671 | refs/heads/main | 2023-09-01T01:33:37.832158 | 2021-09-25T20:51:11 | 2021-09-25T20:51:11 | 353,682,162 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,569 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 21 10:25:06 2021
@author: Clau
"""
'''
Paper: Energy sufficiency, lowlands.
SCENARIO 2
'''
from core import User, np
User_list = []
#Defining users
H1 = User("low income", 73)
User_list.append(H1)
H2 = User("high income", 53)
User_list.append(H2)
... | [
"noreply@github.com"
] | CIE-UMSS.noreply@github.com |
b49321d49f458783ff2e504b5b2c980bfaac3d46 | d686dd84682038efe027d6ba14a77282b3786287 | /src/e2e/parsers/downstream_config.py | 69bad6b06ae6a14096171b4ec094793c8d511cee | [
"Apache-2.0",
"MIT"
] | permissive | idiap/apam | 2d7e2cfee9a4fab7e194f4aee059d8684d932210 | b1ba6087dcb8d2b864b4a99979bb325fb17f3b99 | refs/heads/main | 2023-03-02T10:00:44.992938 | 2021-02-15T11:00:54 | 2021-02-15T11:00:54 | 335,578,798 | 14 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,152 | py | """ Parser for asr training options """
# Copyright (c) 2021 Idiap Research Institute, http://www.idiap.ch/
# Written by Apoorv Vyas <apoorv.vyas@idiap.ch>
import argparse
import sys
def add_downstream_options(parser):
parser.add_argument(
'--ckpt',
default='',
type=str,
help='Pat... | [
"philip.abbet@idiap.ch"
] | philip.abbet@idiap.ch |
3b2ebe81d2835ea42691bb7d5bff97c782a8bc00 | 59ac1d0f09ebfb527701031f3ab2cfbfb8055f51 | /soapsales/employees/migrations/0003_auto_20200902_1721.py | 0819efd6aafd9e48e4f311586f2596836d84ff10 | [] | no_license | DUMBALINYOLO/erpmanu | d4eb61b66cfa3704bd514b58580bdfec5639e3b0 | db979bafcc7481f60af467d1f48d0a81bbbfc1aa | refs/heads/master | 2023-04-28T13:07:45.593051 | 2021-05-12T09:30:23 | 2021-05-12T09:30:23 | 288,446,097 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 543 | py | # Generated by Django 3.0.7 on 2020-09-02 15:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('employees', '0002_auto_20200902_0038'),
]
operations = [
migrations.RenameField(
model_name='employee',
old_name='is... | [
"baridzimaximillem@gmail.com"
] | baridzimaximillem@gmail.com |
d9cb619d465d33a6f910d50958beb4ca360e904b | 47a15501446aa286f89e9ac0f751945d6b86829b | /bqdc.py | 261399d44024c3c85083a7f55f72e7373b1f8f09 | [
"MIT"
] | permissive | karlo0/bqdc | 219ddbf71c0b85a4419eb2759c3a7b57c87afe33 | 1aca9dcd2c519e9ade1988bdee47cf98d51c10f8 | refs/heads/master | 2023-08-24T00:42:19.044385 | 2023-08-14T23:43:35 | 2023-08-17T22:18:04 | 203,542,535 | 0 | 0 | MIT | 2023-08-17T22:18:05 | 2019-08-21T08:39:04 | Python | UTF-8 | Python | false | false | 51,143 | py | r"""
bqdc.py
Python Module to download, upload metadata (Datacatalog Tags, BigQuery table, field descriptions and schema) from Bigquery Tables and its attached tags in DataCatalog.
It can synchronize table descriptions and field descriptions from within Bigquery and constructs tags in Datacatalog for this meta... | [
"karlo1986@gmx.de"
] | karlo1986@gmx.de |
04c25ae249b069385ac6991f6b7f60b72769500e | 6af5601738fbb38ace3454e88ddd773a64c72314 | /exercises/petting_zoo/slither_inn.py | 4d4d8bc226a6667de7e78e6aef1a069893f8b743 | [] | no_license | morriscodez/critters-and-croquettes | 82178ed673daa8f4988f40386ea9ca86f462c6d7 | 22368c14cea6a42bcaa9a800ca29242cfd29b741 | refs/heads/main | 2023-04-05T01:47:29.054819 | 2021-04-23T19:55:10 | 2021-04-23T19:55:10 | 360,280,011 | 0 | 0 | null | 2021-04-23T19:55:10 | 2021-04-21T19:13:45 | Python | UTF-8 | Python | false | false | 166 | py | class SlitherInn:
def __init__(self, name):
self.attraction_name = name
self.description = "safe place to fall asleep"
self.animals = [] | [
"dylanrobertmorris@gmail.com"
] | dylanrobertmorris@gmail.com |
adcb107a99607a4473a99cbe4a62c8ecc5918f4d | f71118a9f24e09bba18d021f9c4a43a97dc4dead | /codes/scripts/make_gif_video.py | fc81e5647ff7ce75b5bb35f226bce946a93a1d56 | [
"Apache-2.0"
] | permissive | BlueAmulet/BasicSR | d7420fd9d7b73bf0cd90a3201d84393f262e63be | 7040913d8659a05af4c2428feb71c260efbf1e9c | refs/heads/lite | 2021-07-10T14:48:26.037589 | 2020-07-23T01:59:27 | 2020-07-23T01:59:27 | 196,041,187 | 19 | 9 | Apache-2.0 | 2020-09-01T17:39:00 | 2019-07-09T16:00:14 | Python | UTF-8 | Python | false | false | 3,311 | py | """
Add text to images, then make gif/video sequence from images.
Since the created gif has low quality with color issues, use this script to generate image with
text and then use `gifski`.
Call `ffmpeg` to make video.
"""
import os.path
import numpy as np
import cv2
crt_path = os.path.dirname(os.path.realpath(__f... | [
"wxt1994@126.com"
] | wxt1994@126.com |
d2880bfa73bd2dcfe254701168d1ff3a803181e6 | 04d30611d6ccc31b1e204bfa7f83efa50bab5ae6 | /github_data_pipeline_api.py | 483e28940fbc9a501a0cbd12166c7817c0f3d192 | [] | no_license | jerryshenyizhou/crypto_github_data | 957cdee889b0107960eb7669046857ec40b846cb | 2c510b9fbbc3233f4f663c3b36aa42bdf47f764e | refs/heads/master | 2021-09-05T21:46:36.994743 | 2018-01-31T07:12:40 | 2018-01-31T07:12:40 | 115,180,988 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,659 | py | # coding: utf-8
# In[2]:
import datetime
import json
import warnings
import pandas as pd
import requests
from pandas.io.json import json_normalize
warnings.filterwarnings('ignore')
import sys
reload(sys)
sys.setdefaultencoding('utf8')
sys.path.append('./utils')
from google_sheet_update import *
# In[3]:
# uti... | [
"jerryshenyizhou@gmail.com"
] | jerryshenyizhou@gmail.com |
3b6282d79f208c7ee3adea1226ff383f5e2e6fd3 | 4edbd8a42011e7f6db0cecf55a3f87a647c2ac1e | /expected_move.py | 9cfae8fc004e6c88df9dab63e846d2516a4b0d8a | [] | no_license | k6116/zebra | fe220ff0c1278f6ea20a06d030080345b540902d | 0aa0ba9a294d557d41377b112a624a294adbebf5 | refs/heads/master | 2022-11-08T07:54:20.415663 | 2020-06-27T19:03:43 | 2020-06-27T19:03:43 | 275,326,505 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,378 | py | import models
from database import SessionLocal, engine
from models import Stock, Option
from sqlalchemy.orm import Session
from sqlalchemy import and_, or_, desc, asc
import math
import tools
import numpy as np
def get_expected_move(symbol, underlying_price, dte):
two_atm_call_iv = None
strikes = tools.strik... | [
"2784285+k6116@users.noreply.github.com"
] | 2784285+k6116@users.noreply.github.com |
584b1e5c22490eed08ae277c45d9260ee70e2553 | 2c7bc4e4289e7146c9a9b0af836fe4069521737a | /第一阶段/基础/第10章 文件和异常/10.3 异常/10.3.9 决定报告哪些错误.py | 930fb4760e7056894619e2fdb20480984d046284 | [
"Apache-2.0"
] | permissive | kwhua/nihao- | e2da2502cff9e4b0b21770e02d971d7ec857c6fa | 0b69b0cda4f57831504d01b51bd2370f436db2b8 | refs/heads/master | 2022-12-19T04:23:49.757470 | 2020-09-24T07:53:35 | 2020-09-24T07:53:35 | 298,187,993 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 922 | py | '''
在什么情况下该向用户报告错误呢?在什么情况下又该在失败时一声不吭呢?如果用户知道
要分析哪些文件,他们希望在有文件没有文件等稀释出现一条消息,将其中的原因告诉他们.
如果客户只想看到结果,而不是要分析哪些文件,可能就需要在哪些文件不存在时告知他们.
向用户显示他不想看待的信息可能会降低程序的可用性.Python的错误处理结构让你能够细致地
控制与用户分享错误信息的程度,要分享多少信息由你决定.
编写得很好且经过详尽测试的代码不容易出现内部错误,入语法或逻辑错误,但只要程序依赖
于外部因素,如用户输入、存在指定的文件、有网络链接，就有可能出现异常。凭借经验可判断
该在程序的什么地方包含异常处理块，以及错误是该向... | [
"646013895@qq.com"
] | 646013895@qq.com |
3ad493b7dfecdacdc6ea5bd86467d39b3b95ef44 | 8b9dfacd464558d1aacdef387ec3078a03d59158 | /aruco_detect_master/aruco_detect.py | f4ac1f0f3472cc04ad87f0aa78aeb49df4970415 | [] | no_license | Taospirit/HITsz_Course_Code | 56bb4a4327b39d9c45405e367dafc4211b74930b | b2f33bb3e5ce31894b12bfbf2f42cbf482933ed0 | refs/heads/master | 2020-04-10T20:30:07.952396 | 2019-07-10T13:53:38 | 2019-07-10T13:53:38 | 161,269,766 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,294 | py | import cv2 as cv
import cv2.aruco as aruco
import numpy as np
import copy
# IMG_WIDTH =
camera_matrix = np.array(([693.2, 0, 666.8], # 内参矩阵
[0, 693.4, 347.7],
[0, 0, 1]), dtype=np.double)
dist_coefs = np.array([-0.050791, 0.217163, 0.0000878, -0.000388, -0.246122],
... | [
"lintao209@outlook.com"
] | lintao209@outlook.com |
78d9bf44728572f4d21268ca5a3a81c35e52cf7e | 3dfb23604deb956cabd3e7d014389548f2b14e27 | /app/trade/apps.py | 33c34302eb16e58b685b3962cd5f3962890a1753 | [] | no_license | huanpython/mysite | 74c285f093a4af888d554d780997a23c25bc626e | 05bdba6174446117efd01f6f8c7d94768cb330fa | refs/heads/master | 2020-07-02T09:25:43.061976 | 2019-08-14T04:03:20 | 2019-08-14T04:03:20 | 201,485,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | from django.apps import AppConfig
class TradeConfig(AppConfig):
name = 'app.trade'
verbose_name = "交易管理" | [
"huanfuan@163.com"
] | huanfuan@163.com |
413fe0cf74f78a5479abcffb6ba6f1b944f65717 | 59b87e4892a583e1eafaeca8582320b3db6e4435 | /.c9/metadata/environment/products/views.py | 756c77246def161c889dabccb347e037f5dd2284 | [] | no_license | cgaynor91/E-Commerce | 65e112b4a2c66725d27a65847686c497574d1f58 | f7e3e81358f494cd16768e4aba73b19bc16a29ab | refs/heads/master | 2021-07-11T23:26:22.895787 | 2020-03-11T21:47:28 | 2020-03-11T21:47:28 | 246,412,701 | 0 | 0 | null | 2021-06-10T22:39:00 | 2020-03-10T21:32:01 | Python | UTF-8 | Python | false | false | 15,846 | py | {"filter":false,"title":"views.py","tooltip":"/products/views.py","ace":{"folds":[],"scrolltop":0,"scrollleft":0,"selection":{"start":{"row":6,"column":65},"end":{"row":6,"column":65},"isBackwards":false},"options":{"guessTabSize":true,"useWrapMode":false,"wrapToView":true},"firstLineState":0},"hash":"43957824f031b60e8... | [
"ubuntu@ip-172-31-36-97.ec2.internal"
] | ubuntu@ip-172-31-36-97.ec2.internal |
69b0fa5230cadb504175821f7cb8097e99df18c4 | 901658f002f0d996fe17b9f1a241ccf95bdb82e3 | /home/migrations/0002_auto_20200801_1224.py | 76aa831a18ba7eb063bd34d75b1394c39ac08103 | [] | no_license | OnurBoynuegri/RentHome | 2d0fb308664d1095eaddafd5838982751a497c37 | c20c934f9edbc8d9c7215d0d3f462769b5d048c7 | refs/heads/master | 2022-11-28T04:42:45.158688 | 2020-08-11T15:09:38 | 2020-08-11T15:09:38 | 280,904,461 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,729 | py | # Generated by Django 3.0.8 on 2020-08-01 09:24
import ckeditor_uploader.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ContactFormMessage',
... | [
"onurboynueğri@gmail.com"
] | onurboynueğri@gmail.com |
61bb250a081ee773aa1aa16082aa203ec3a1eefd | 0378c82c8bcd5501732acc27d1d33b3230f9a393 | /KYLIN_USB/sources/spark/load/sources/020-mds_elt_niveau.py | 1d935431623fd660c2a5018af23ee80f7d2fefbf | [] | no_license | bmwalid/Controlla | 85718a94e47acdc2a90ee06b951282954dc1ed11 | c63febd9aeb1ae268b79ade1880d867a888554d0 | refs/heads/master | 2020-04-29T16:15:27.646599 | 2019-03-19T16:40:36 | 2019-03-19T16:40:36 | 176,252,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,726 | py | # import Libraries
from pyspark.conf import SparkConf
from pyspark.sql import SparkSession
from pyspark.sql.types import *
# init sparkConf
conf = SparkConf()
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") \
.set("spark.executor.cores", "1") \
.set("spark.executor.memory", "1G")
# ... | [
"bmwalide@gmail.com"
] | bmwalide@gmail.com |
6747e33efcd4f93c3dbf79fe12368de440154955 | b45e649b4580692dd1b8bf63ad29befb3daad95a | /spark/src/main/python/preprocBinning.py | 6c21866ee6f9e294698dfe7cff5be5841bf1c7fa | [] | no_license | xu-hao/FHIR-PIT | 21ea0e5b8796d86f3a931b99e3e7a3f1e58b04a2 | db2fb04e2cc0d9fce2f8043f594f60fdb8f5a8e8 | refs/heads/master | 2021-05-25T09:49:48.084629 | 2021-05-19T20:17:11 | 2021-05-19T20:17:11 | 127,015,534 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 660 | py | import os
import sys
import json
from preprocPatient import *
from preprocVisit import *
year_start, year_end, config_file, input_dir, output_dir = sys.argv[1:]
for year in range(int(year_start), int(year_end) + 1):
... | [
"xuh@cs.unc.edu"
] | xuh@cs.unc.edu |
f93a39f3c7ce5dc35b811f46c70586ec4a00c270 | 4d93acd63ce2835fcd7ea610fcd412b727a4f03e | /08-Markov/decay.py | aa454eea1ad7fb4d3765d62e0e5f8e83dfc8525a | [] | no_license | jsbarbosa/JuanBarbosa_MCA | 41ebcc27bb7dd8a886c9b4c1b416bd7e3cad2e57 | 4f49d17282679ae1fa81d7cc892b6560edf93828 | refs/heads/master | 2021-01-11T17:53:44.115810 | 2017-04-24T17:58:09 | 2017-04-24T17:58:09 | 79,863,469 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,590 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 18:21:00 2017
@author: juan
"""
import numpy as np
import matplotlib.pyplot as plt
obs = np.array([1.5, 1.7, 2])
def rand():
return 2*np.random.random() - 1
def integral(a, b, lm):
return -lm*(func(b, lm) - func(a, lm))
def fu... | [
"js.barbosa10@uniandes.edu.co"
] | js.barbosa10@uniandes.edu.co |
f748579f1a20a23d901c31b88322c26f451af433 | 44ce370130c7cd9a6a763be8dcc62362f57724e7 | /vagrant/data/Math2/cont2_8/run | eb3597973d86ef0dc6f0ed2817058872d9b99942 | [] | no_license | akemery/cnp3-docker | c122aac493868ec4fa2b7795b1fd7110998f93dc | 3f24649ab81e828cf6babcfac7965251cb4dc7e2 | refs/heads/main | 2023-06-21T10:06:05.668090 | 2021-07-26T07:39:42 | 2021-07-26T07:39:42 | 363,279,299 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | #! /usr/bin/python3
# -*- coding: utf-8 -*-
import sys
sys.path.insert(1, '/course/common')
from inginious import input, feedback, rst
from parsingDomain import compareDomains
correct = "{}" # à modifier /!\
answer = input.get_input("q1")
grade = 0
result = compareDomains(answer, correct)
if result[0]:
fee... | [
"assogba.emery@gmail.com"
] | assogba.emery@gmail.com | |
bed6c7b8a9b18521ccb6830724efd339b5523cb9 | a8cb99c512946691b6c53cf14538b44c39c62e88 | /models.py | a8f9314eba0b89e27e3eaf4139a8ce19fb2b8f63 | [] | no_license | Louise-LuLin/debias-gcn | 3d3f0c57cd22ed6506841c463820eac980ae4769 | 82ee00cce6f5672c8823cf31a2fe9e5b54eed56e | refs/heads/main | 2023-05-03T05:24:45.506722 | 2021-05-17T18:30:15 | 2021-05-17T18:30:15 | 360,814,170 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,250 | py | import dgl
from dgl.nn import SAGEConv # Define a GraphSAGE model
from dgl.nn import GATConv # Define a GAT model
import torch
import torch.nn as nn
import torch.nn.functional as F
######################################################################
# build a two-layer GraphSAGE model
class GraphSAGE(nn.Module):
... | [
"lulin199209@gmail.com"
] | lulin199209@gmail.com |
9125851b1d61361d8d141a4dca0d69cccfebbf50 | b62d6c292e573dca91d33dfbe61a417e18330d50 | /app/KS/image/helpers.py | b773d4bef9998935d10af95089338174274ed702 | [] | no_license | MCapallera/PatternRecognition_JungleSpeed | 7dd2e7854df8c4585612e5455505fcfb6f443972 | d8254abc26152af449fc17881283da46359b712d | refs/heads/master | 2020-05-01T17:54:37.985790 | 2019-05-26T17:22:27 | 2019-05-26T17:22:27 | 177,611,998 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | import numpy
from skimage.filters import threshold_yen
def get_background_color(img):
threshold = threshold_yen(img)
return numpy.mean(img[img > threshold])
| [
"melania.grotti@unifr.ch"
] | melania.grotti@unifr.ch |
1ed5d148e48f6eaac83bf81e500e00be6515e921 | e9534ef4fbaea3cfee556e5da32927ba3860834c | /autoScale/main.py | 0f5a11984e217850e3df919739199b47384e4c69 | [] | no_license | joaoleite/marathon-autoscaling-app | 91791b831428105f4c4a778ffcacecad3edefe99 | ce45b562f006958dc14b88af6611092604cf4cfb | refs/heads/master | 2021-01-19T19:05:17.509686 | 2017-05-09T00:35:50 | 2017-05-09T00:35:50 | 88,398,742 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,288 | py | from marathonAPI import MarathonAPI
from rabbitMQ import rabbitMQ
from settings import VAR_MARATHON_PORT, VAR_MARATHON_USE_HTTPS, VAR_MARATHON_PASSWORD, VAR_MARATHON_USER, \
VAR_RABBITMQ_WEB_PORT, VAR_RABBITMQ_PASSWORD, VAR_RABBITMQ_USER, VAR_RABBITMQ_HOST
from settings import MARATHON_INTERVAL_REFRESH_APP
from set... | [
"joaoleite@gmail.com"
] | joaoleite@gmail.com |
cf8828a7f7d1d13855bca279de6c79655a778dcd | 97825c904d512fdfd6a4418d6820eb8fd3cdd202 | /largest_number.py | cf7f5a702a9e0821a28b1fd3e4074a3fe1484bf5 | [] | no_license | charliedmiller/coding_challenges | 97426741778d0498321cb2fec2e7d3c3d3c0b26e | ea6aa0cffb55b2d88f71f108f16c34e9779da9c7 | refs/heads/master | 2023-02-21T21:54:26.500399 | 2021-01-28T23:50:42 | 2021-01-28T23:50:42 | 287,142,628 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,186 | py | # Charlie Miller
# Leetcode - 179. Largest Number
# https://leetcode.com/problems/largest-number/
"""
I had the right idea, though needed to look at the sln to get there
https://leetcode.com/problems/largest-number/solution/
Create a comparator that compares the numbers created by ordering
them differently (a ... | [
"charliedmiller@gmail.com"
] | charliedmiller@gmail.com |
da6084b7a1b5f3aa319565d6778d11e1160946a3 | d7b403a8e4b124e42feb0b72c502df438f5552f6 | /speech/TextToSpeech.py | afda438ef79dc3cb346c9c3df8dea77969416e10 | [] | no_license | Mallington/Hacker-The-Hardware-bear | ea3b7b7bd1a908ff613cce414d623b2d263c0955 | 4f21318879bedac726c00a26f9c80095f73c1881 | refs/heads/master | 2020-09-16T04:10:39.319071 | 2019-11-24T11:01:43 | 2019-11-24T11:01:43 | 223,648,970 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 273 | py | from gtts import gTTS
import os
from datetime import date
class tts():
def __init__(self):
pass
def say(self, message):
tts = gTTS(text=message, lang='en')
now = date.today()
tts.save("{}.mp3".format(now))
os.system("mpg321 {}.mp3".format(now))
| [
"funkymallington@gmail.com"
] | funkymallington@gmail.com |
16a8903ece9e78204eed8acc202a5f650cf59dd2 | 8a932cf081cdbcdee998b2e71ff5cc57a4799cbb | /pentakillers.py | dadc28ec0e1d3ffb3f9aae8a2664550075afd334 | [
"MIT"
] | permissive | vitaum88/pentakillers | 2c0b910daf38b9b47f315361e0046e4fc6e992ff | c930493bb4ff3ced65a48492569a7f5770c88d41 | refs/heads/main | 2023-06-30T13:42:08.659121 | 2021-08-02T19:04:20 | 2021-08-02T19:04:20 | 392,063,812 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,711 | py | import cassiopeia as cass
import arrow
import pandas as pd
import time
import requests
'''
Go to https://developer.riotgames.com/ and create a LOGIN. After that, you'll be taken to a screen with the API key.
There are 3 types of API keys in Riot Games:
- Development API (which is the default once you create a devel... | [
"noreply@github.com"
] | vitaum88.noreply@github.com |
5934e0899c738d89b998b2594786891958736c99 | 933a4f98b3ab1df987bce525d20ca904b225140f | /scripts/common/gerrit/query.py | ffea6bdf65921d27e1df63902163c310d54f0365 | [
"BSD-3-Clause"
] | permissive | mcgreevy/chromium-build | 3881c489b4d9be2f113da755487808b3593f8156 | f8e42c70146c1b668421ee6358dc550a955770a3 | refs/heads/master | 2020-12-30T12:32:15.685191 | 2017-05-17T06:58:18 | 2017-05-17T06:58:18 | 91,419,271 | 0 | 2 | NOASSERTION | 2020-07-22T09:27:35 | 2017-05-16T05:52:45 | Python | UTF-8 | Python | false | false | 5,859 | py | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import urllib
################################################################################
# Gerrit API
################################################... | [
"zty@chromium.org"
] | zty@chromium.org |
ecd72f46add5e5f213fc1533ff3e25f25160af31 | 9de18e1e39c941aeba1781630711cef1d3d4d44c | /experiments/cifar10/conv.py | 41757c9d21758f8c35cf7d9e176d18cd6ff88602 | [] | no_license | BINDS-LAB-UMASS/bindsnet_experiments | cee786ae7e087845f58e0af4a49fa319d4fb81d5 | 8a20be9d1ede021b70ff95cc7e85024ff5a222db | refs/heads/master | 2022-11-12T11:33:20.451028 | 2019-10-01T15:40:28 | 2019-10-01T15:40:28 | 135,615,246 | 41 | 10 | null | 2022-10-28T00:35:03 | 2018-05-31T17:28:04 | Python | UTF-8 | Python | false | false | 14,333 | py | import os
import sys
import torch
import argparse
import numpy as np
import matplotlib.pyplot as plt
from time import time as t
sys.path.append('..')
from utils import print_results, update_curves
from bindsnet.datasets import CIFAR10
from bindsnet.network import Network
from bindsnet.learning import Hebbian
from b... | [
"djsaunde@umass.edu"
] | djsaunde@umass.edu |
007d263722520390990a2b56a70c7cb4328ec8b9 | 2846b0779aec695c3d2b6673e274a14f5bad374b | /Session info to table/macOS app/Tracks to Table/tracks_to_table.py | f7d4b2789f5e0e70306dadea74eacbeb13a6aed0 | [
"MIT"
] | permissive | fantopop/post-production-scripts | 43aeeec3cd2f0e21b487ce1e8a6d762f4b79a333 | 8192499d6ba716a0f72094c63c167cd2ae384eab | refs/heads/master | 2022-04-30T15:44:37.249831 | 2022-04-19T15:32:34 | 2022-04-19T15:32:34 | 91,468,867 | 24 | 1 | null | null | null | null | UTF-8 | Python | false | false | 17,676 | py | #!/usr/bin/python
"""
tracks_to_table.py
Author: Ilya Putilin
https://github.com/fantopop/post-production-scripts
Special thanks to Philippe Lagadec for HTML.py module for generating HTML tables.
http://www.decalage.info/python/html
This scripts converts .txt file, that could be exported from Pro Tools
using "Export... | [
"fantopop@gmail.com"
] | fantopop@gmail.com |
04d3c52147bf2d6f5af145bd01926191bd945680 | d4af57cf5b00e13e78966b20b21c0a052d078d3a | /Lab1/Source/wsgi.py | 617a28297304cf4bfa7b756309ba4adf0c6fed80 | [] | no_license | Bersik/Web-Technology-Course | e717aab6df994e21bc6bb4c3944d094bf95328f9 | 3d955921b8187987d86e3339aedba6c4bf9cf01c | refs/heads/master | 2021-05-04T06:56:27.566335 | 2016-12-13T02:14:35 | 2016-12-13T02:14:35 | 70,544,089 | 0 | 1 | null | 2016-12-03T21:45:11 | 2016-10-11T01:32:59 | Python | UTF-8 | Python | false | false | 388 | py | """
WSGI config for Lab1 project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTING... | [
"k.sergyk@gmail.com"
] | k.sergyk@gmail.com |
d39c8a61833fc2f4123d6803bf8dce614ed0a12a | cfc9a8831e5946d738329fad2763d643dec8566f | /src/encoded/tests/test_create_mapping.py | 44d89dea3b1ec2d190ef281061e331a2302547be | [
"MIT"
] | permissive | emi80/encoded | 8e244a66b0d36610dcf8d9a47d385640dfa7987d | 2fe2c2afbd3be21b65b10a189a3bd623ecdaee37 | refs/heads/master | 2021-01-18T12:34:56.060690 | 2015-03-05T21:56:05 | 2015-03-05T21:56:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 299 | py | import pytest
from ..loadxl import ORDER
@pytest.mark.parametrize('item_type', ORDER)
def test_create_mapping(registry, item_type):
from ..commands.create_mapping import type_mapping
from ..contentbase import TYPES
mapping = type_mapping(registry[TYPES], item_type)
assert mapping
| [
"laurence@lrowe.co.uk"
] | laurence@lrowe.co.uk |
ecca9f66970644f8ebd7962b370b64e54427a5c2 | 339ec05910ea45e91222a33ef926d8f108f87486 | /server.py | 24f5afea45ca70ff80b5c4b8f1bc8566d864ad53 | [] | no_license | ajeebbasheer/chat-server | 199eda1b67a2449e300ba693a1f735521c89d236 | 9ffdd57a617bed06f256e3fe2fd1926c34064cc9 | refs/heads/master | 2021-09-13T17:45:04.167524 | 2018-05-02T15:44:19 | 2018-05-02T15:44:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,247 | py | #/usr/bin/env python
import socket
import sys
import select
CONNECTION_LIST=[]
RECV_BUFFER=4096
PORT=5000
def broadcast(sock,message):
for s in CONNECTION_LIST:
if s != server_socket and socket!=sock:
try:
s.send(message)
except:
s.close()
CONNECTION_LIST.remove(socket)
server_socket=socket... | [
"to.ajeeb@gmail.com"
] | to.ajeeb@gmail.com |
9c93902848978428f5ced5f6c21786783cea6d85 | a4623b72797d87baf17ca48406e36da8af78e7eb | /backend/settings.py | b4dcb752ef5348911c4f31d20ef9747037555f2c | [] | no_license | janefwp/task | f410965a381769864f51d485f72e5c4a0738ebad | f7366c9f8e77a3927acaff3758916779e670cf53 | refs/heads/main | 2023-04-13T19:47:36.614907 | 2021-04-25T09:02:43 | 2021-04-25T09:02:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,957 | py | """
Django settings for backend project.
Generated by 'django-admin startproject' using Django 3.1.6.
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/
"""
import os
fro... | [
"cuij1012@gmail.com"
] | cuij1012@gmail.com |
89390f2b4c8bd7d25ec8c7791c9b3502343ed13a | ebe20199181927f3eb36aedfe66d5d179f28628f | /concierge/event/models.py | d66ac24619b9e9b28680c89204f8dfd3e80b9f4c | [] | no_license | rajat404/concierge | 8f1c1d826334f8a0364d4b64efebc722b6f6f061 | 60290e70741060c78c860779a19bf81a90058675 | refs/heads/master | 2021-07-01T08:28:27.020737 | 2017-09-03T22:23:12 | 2017-09-03T22:23:12 | 103,437,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,103 | py | # Third Party Imports
from django.db import models
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from simple_history.models import HistoricalRecords
# Concierge Imports
from concierge.base.models import SlugModel, TimeStampedModel, UUIDModel
from concierge.quiz.models import... | [
"404rajat@gmail.com"
] | 404rajat@gmail.com |
b892725d3b4dcb01c4b54bf97ca0a1f759db0640 | 87a7e63bf86dad9ca5dbe812ea8caaa013ab1856 | /Step6RectangleDivision.py | 31a102235257fba937444e2cf0323933e2ceefe3 | [] | no_license | sugoigroup/CodeTestPython | 884ee5aa7abec588eb04df930b32c824b1a37a93 | ba08dc8c2a7c8f385055b4e21a6de10e73f7e8fd | refs/heads/master | 2023-03-18T12:01:30.055923 | 2021-03-15T13:32:58 | 2021-03-15T13:32:58 | 347,641,273 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 609 | py | # 긴변의 길이가 1000이하에서 만들어질수 있는 정사각형 개수가 딱 20개인 직사각형의 가로세로 길이 쌍이 몇 쌍인지 구하시요? 응?
# 단 직사각형의 가로세로 길ㄹ이를 바꾼 경우는 하나로 취급됨.
# 뭔개소리냐
W, N = 1000, 20
def cut(w, h, n):
if w==h:
return n==0
if w>h:
w, h = h, w
q, r = divmod(h, w)
if (n-q<0) or (r==0):
return (n-q==0)
else:
return ... | [
""
] | |
f7076115a366f407af38c60d3ee22cb4242a040a | 4a008af61a508c73a41d6907b57272b16bbf4b32 | /ephios/modellogging/models.py | eaddb22fb930e22cc477e58f5723af00c7e68613 | [
"MIT"
] | permissive | alexanderKuehling/ephios | dbe6cf9198d1f9b5c9bb27927726c32271c11eda | 2bec784b1bf5300201701ae1710f699b95cdd0e3 | refs/heads/main | 2023-05-08T02:22:23.163347 | 2021-05-06T16:20:07 | 2021-05-06T16:20:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,744 | py | from django.conf import settings
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.utils.functional import cached_property
from django.utils.translation import gettext_lazy as _
from ephios.modellogging.j... | [
"noreply@github.com"
] | alexanderKuehling.noreply@github.com |
14c4afa7c0d18bc0eb4ddc092102498ed554f5ad | 1af050f5fce1e500d688e325876107d696eb8159 | /pythonprac/bin/easy_install-3.7 | 55d12364ae5d829cf69d629922b828061c904d7d | [] | no_license | Novandev/pythonprac | 30c587b1eb6ba6c1cd9a6f66b59c03c5c98ec0d4 | 78eded9f1d6d9b2f9ffc16e57139b10cc13355e1 | refs/heads/master | 2022-12-13T20:13:53.976110 | 2020-07-27T05:04:55 | 2020-07-27T05:04:55 | 108,077,649 | 0 | 0 | null | 2022-12-08T01:30:30 | 2017-10-24T04:42:31 | Python | UTF-8 | Python | false | false | 278 | 7 | #!/Users/novan/Desktop/Github/pythonprac/pythonprac/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"donovan.adams@students.makeschool.com"
] | donovan.adams@students.makeschool.com |
7dc54bea595127ad1357734ba33347c1f4cb9188 | c26e98676846ab321065e416ee8b3e2f5b1d4b43 | /PyPoll_Challenge.py | 6fa47eaa8b51b4dfb0beb98ed3f51a144c38e5f7 | [] | no_license | jaredcclarke/Election_Analysis | d510f401555515fdf8e601bfdab5b401b9ef9de9 | 512c2ee41ed8aec440e6e3b7f3459e58211a4e51 | refs/heads/main | 2022-12-26T15:11:30.816855 | 2020-10-12T06:03:51 | 2020-10-12T06:03:51 | 301,816,774 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,497 | py | # -*- coding: UTF-8 -*-
# """PyPoll Homework Challenge Solution."""
# Add our dependencies.
import csv
import os
# Add a variable to load a file from a path.
file_to_load = os.path.join("Resources", "election_results.csv")
# Add a variable to save the file to a path.
file_to_save = os.path.join("analysis", "election_... | [
"jared@Jareds-Air.fios-router.home"
] | jared@Jareds-Air.fios-router.home |
4e9439bccd64614f8be9f6d1df393b1b365247a7 | 86059cbbba04e62a1a6b217ea043081d10c55174 | /Tutorial 2/Code/Lambda/lambda2.py | cd103bfd0dd8cfcf1ccfe882d4d4c68f8bb162ff | [] | no_license | AdityaJNair/PythonAssignment | 4d0190a8bf2576fcf7863fea5cd7b195e6060bc5 | 3c0b8cb1d47b29382bc40239fe4735034db1965e | refs/heads/master | 2021-01-20T11:50:55.030343 | 2016-08-18T05:21:20 | 2016-08-18T05:21:20 | 65,005,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 718 | py | #!/usr/bin/env python3
OPERATION_COUNT = 4
simple_collection_of_lambdas = [None] * OPERATION_COUNT
#set up the lambdas for calculator
def setup_lambdas():
#add
simple_collection_of_lambdas[0] = lambda x, y: x + y
#subtract
simple_collection_of_lambdas[1] = lambda x, y: x - y
#multiply
simple_collect... | [
"adijnair@gmail.com"
] | adijnair@gmail.com |
048078b6d92b6a6cea61415ef5bbcb2f3fb1edbb | aef857a784b9028e6f13eddb3584660ac7575c3a | /Homeworks/Homework 2/Q5/Q5b.py | c2c7ea469d32a4a082125212b241531d5c65f572 | [] | no_license | pratikmistry0410/DSA-Spring2020 | 2a72cd21cefb0cce9e5c679be6825c3bbe74503d | 4b6d9a7a0d6ce025cdf0084de99ccface45be2cb | refs/heads/master | 2022-07-19T09:49:20.843643 | 2020-05-19T19:52:45 | 2020-05-19T19:52:45 | 259,977,141 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,145 | py | import time
# Global variable to calculate the complexity for algorithm and store the cutoff value to insertion sort
cutoff = 6
complexity_count = 0
# Function to read the dataset
def readDataset():
filename = "data0.32768" # Dataset file name
file = "/Users/learning/Documents/Pratik Mistr... | [
"noreply@github.com"
] | pratikmistry0410.noreply@github.com |
8fc10d35f9fa5cced3f4939ab0d2ca50d42ab5cb | b5dbf732d26a2a924c85c5a107035be48bfe69cd | /2.7.py | a41cca6bfe45aaf10f7b7a81df3ea5680c11f318 | [] | no_license | Beks667/2.7Hw | 2435bfa58e252357c46819f6987639ca025549be | 4e03706bdfc70f2f94145a50f493f36995d08cdb | refs/heads/main | 2023-04-19T13:10:24.348768 | 2021-05-07T12:44:27 | 2021-05-07T12:44:27 | 365,230,069 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,341 | py | # class Phone :
# def __init__ (self,brand,model,color):
# self.brand = brand
# self.model = model
# self.color = color
# def show (self):
# print(f"{self.brand},{self.model},{self.color}")
# phone = Phone("Apple", "XS", "black")
# phone.show()
# class Monkey:
# max_age... | [
"you@example.com"
] | you@example.com |
0d8d56fe358d827f22efe436159e711e93ae5a8c | 87ba7263b2dcffcd952d0dee8dd42a9cc5142286 | /tensforflow_mnist.py | 4568bbd70fd6d989aa360fb55688e845d8d71b85 | [] | no_license | kpodlaski/NeuralNetworks2018 | 40064acf14522229a66333523a3cc7342ce507b4 | 1d143bc51bce94e80eb9e9d6c9b465ef174689ee | refs/heads/master | 2020-04-01T13:39:57.231298 | 2019-01-15T11:02:31 | 2019-01-15T11:02:31 | 153,261,867 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,235 | py | import tensorflow as tf
import numpy as np
net = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28,28)),
tf.keras.layers.Dense(30,activation=tf.nn.sigmoid),#tf.nn.relu
tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])
net.compile(optimizer=tf.train.GradientDescentOptimizer(0.5),
... | [
"podlaski@uni.lodz.pl"
] | podlaski@uni.lodz.pl |
c2b8476c5f2885a7c220049fadf41636f702b471 | f2e063c84f0cfa36b47ca5ee0752790ce7ae7a7a | /22 april/second.py | 85c9b8cf0f154f60577713c5eb85ff1cdcd2501c | [] | no_license | niksanand1717/TCS-434 | a1b1ca9ca96b389cb30fb3a104dda122408a52c9 | 0c1c16426d127d84733d26475278f148a1e512d8 | refs/heads/master | 2023-04-17T12:48:11.475162 | 2021-05-01T19:05:38 | 2021-05-01T19:05:38 | 347,687,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 550 | py | # Input n strings in a list and print all the strings ending with a specific character provided by the user
def seive(string):
index = (len(string)-1) - len(match)
if string[index + 1: ] == match:
return string
strnum = int(input("Enter num of strings: "))
strs = []
for i in range(0, strnum):
st... | [
"nikhilanandgaya01@gmail.com"
] | nikhilanandgaya01@gmail.com |
e1bccde57c18d31ab7ae91528e51e89563c8c9b2 | 3e7b2ebb64e9e324ce47d19def21ae62cc1e56a6 | /Problem-solving/HackerRank/p14- sWAP cASE.py | 5f4f5a0512103085cb85a010c0c4672a7a9a5c87 | [] | no_license | shuvo14051/python-data-algo | 9b6622d9260e95ca9ffabd39b02996f13bdf20d1 | 8f66ff6f2bd88a0ae48dac72e4ea6c5382a836ec | refs/heads/master | 2023-02-03T03:04:01.183093 | 2020-12-13T10:13:15 | 2020-12-13T10:13:15 | 274,106,480 | 0 | 0 | null | 2020-07-05T06:33:28 | 2020-06-22T10:24:05 | Python | UTF-8 | Python | false | false | 194 | py | # n = input()
#
# swaped_n = n.swapcase()
#
# print(swaped_n)
def swap_case(s):
return s.swapcase()
if __name__ == '__main__':
s = input()
result = swap_case(s)
print(result) | [
"shuvo1137017@gmail.com"
] | shuvo1137017@gmail.com |
824806407a297dd5bce984576799615452155162 | ee6fc02e8392ff780a4f0d1a5789776e4d0b6a29 | /code/practice/abc/abc068/a.py | b3800d499a667ec8af18bf78ae9c85b83569e746 | [] | no_license | mollinaca/ac | e99bb5d5c07159b3ef98cd7067424fa2751c0256 | 2f40dd4333c2b39573b75b45b06ad52cf36d75c3 | refs/heads/master | 2020-12-22T11:02:13.269855 | 2020-09-18T01:02:29 | 2020-09-18T01:02:29 | 236,757,685 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 67 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
print("ABC"+input()) | [
"morisyot@square-enix.com"
] | morisyot@square-enix.com |
4676da0d782299dd3de0559176956456b31fd9e1 | 5bf1c5acaa09e7c3604a08cadac05fd913401491 | /run_grain_facet_from_params.py | 3b6dbf7a87ba349cac4c67f36cbd37db19a1195d | [] | no_license | gregtucker/mountain_front_model | b836641521c4627e2c6f2267cb7b4449a088d87f | 49ad583c55dc20aaa2bc08729068f2ec39e56f57 | refs/heads/master | 2021-01-17T14:46:53.591850 | 2018-09-24T13:45:04 | 2018-09-24T13:45:04 | 48,451,368 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,208 | py | # -*- coding: utf-8 -*-
"""
run_grain_facet_from_params.py: demonstrates how to instantiate and run
a GrainFacetSimulator from another Python script, passing parameters via
a dictionary rather than using a separate input file.
A note on time scales, in seconds:
Duration
(sec) (equiv)
--------------
1 s ~ 1 s
... | [
"gtucker@colorado.edu"
] | gtucker@colorado.edu |
0769073e54f97a7b28ca46674614b73ce89d67c6 | 37906b41991719dff0590f9161f9b69af8d7e491 | /tensorflow/python/tpu/tensor_tracer.py | b9aec3f2e26e5272030fbfb380877f6d6a789d29 | [
"Apache-2.0"
] | permissive | nauman07/tensorflow | 7ae4277564bb596c0f8ba5d107a35d9505c3c2fb | f88cf68393e60525506a567e0081b8e2e6db409b | refs/heads/master | 2020-08-28T15:55:35.510154 | 2019-10-26T15:34:58 | 2019-10-26T15:39:08 | 217,742,698 | 3 | 0 | Apache-2.0 | 2019-10-26T17:11:10 | 2019-10-26T17:11:09 | null | UTF-8 | Python | false | false | 66,668 | py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"gardener@tensorflow.org"
] | gardener@tensorflow.org |
4e2cb97de7241505f45b49f05c410dc4676b145b | e94dc3776101d5f3083cb2321ff47f76a269791d | /examples_save/examples_save/medusaCsvProcess.py | 0364397467cc80c76fad33293461c82638994854 | [] | no_license | nanjunda/fc_iscsi_scripts | d004b57c1d5b95eb9a1f196238d887640ecaf96f | 8ea16efb39833daa52223a1fcbd9a8dabe84589e | refs/heads/nanjunda-dev | 2021-09-04T10:11:49.252915 | 2018-01-17T21:38:59 | 2018-01-17T21:38:59 | 112,405,356 | 0 | 0 | null | 2018-01-17T21:35:36 | 2017-11-29T00:26:22 | Python | UTF-8 | Python | false | false | 499 | py | import csv
with open('x.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
next(readCSV)
count = 0
sum4=0.0
sum8=0.0
sum11=0.0
for row in readCSV:
s = str(row[4])
if "Avg" not in s:
count += 1
print(row[4],row[8],row[11])
sum4 ... | [
"noreply@github.com"
] | nanjunda.noreply@github.com |
3e63ae681a9a108917e4e8eb68534010225514bd | cfc804a95325bba903300bdc0984d57316e20861 | /ID Scanner/yolo/frontend.py | 83633e175c23fcf9d88e6e36a170c019421bf846 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Haomin-Yu/Smart-Bartender | 3408d849779d3cec56a8dfb4822790eb5b39afc0 | 52e9ff7e7ab8ffc13e248f20cebf110ed9897a5d | refs/heads/master | 2022-07-22T18:02:04.083038 | 2019-12-10T19:56:33 | 2019-12-10T19:56:33 | 213,276,187 | 1 | 0 | MIT | 2022-07-06T20:25:19 | 2019-10-07T02:00:31 | Jupyter Notebook | UTF-8 | Python | false | false | 6,181 | py | # -*- coding: utf-8 -*-
# This module is responsible for communicating with the outside of the yolo package.
# Outside the package, someone can use yolo detector accessing with this module.
import os
import numpy as np
from yolo.backend.decoder import YoloDecoder
from yolo.backend.loss import YoloLoss
from yolo.backe... | [
"xinyug2@uw.edu"
] | xinyug2@uw.edu |
e957134d472c84d28c43e089b40cdb76ab62d681 | 64314270bfa5d14d13944ccf9d1fb15085a1ca68 | /Problema 1/naive_bayes/naive_bayes.py | 3a8f4ac2c700be49419fb56625b482b91b6f575c | [
"MIT"
] | permissive | jarvis-fga/Projetos | bfef5becc31e15850410194a847a3e4396dd31a3 | 59b89527e8b9ddb4caf353eb85b229ec27eae2a3 | refs/heads/master | 2021-01-19T13:41:15.855101 | 2017-11-28T17:12:24 | 2017-11-28T17:12:24 | 100,855,314 | 2 | 1 | null | 2017-11-28T17:12:24 | 2017-08-20T10:54:56 | Jupyter Notebook | UTF-8 | Python | false | false | 974 | py | import csv
def carregar_acessos(arquivo_nome):
dados = []
marcacoes = []
arquivo = open(arquivo_nome, 'rb')
leitor = csv.reader(arquivo)
leitor.next()
for P1,P2,P3,P4,P5,P6,P7,P8,P9,P10,P11,P12,P13,Origem in leitor:
dados.append([float(P1), float(P2), float(P3), float(P4), float(P5), float(P6), float(P7), flo... | [
"lucasandradeunb@gmail.com"
] | lucasandradeunb@gmail.com |
106c381e4786484cc282efd00c668dcd74a0a99b | 420b062ab05f6dcbe718acfbb7fa92e380b03d25 | /runit_sfdc.py | de72019a86fd4cd675992b4640518d513d99dc89 | [] | no_license | fkoncz/sfdc---PoC-code | e130e5f8addfbd7dcbca55b5a93a3657baa694b6 | 076f27cddac17a7be65a04469cd509373ae62156 | refs/heads/master | 2022-04-03T10:23:24.234233 | 2020-02-14T03:10:00 | 2020-02-14T03:10:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,884 | py | import requests
import xml.dom.minidom
import collections
import time
import os
import zipfile
import base64
import beatbox
from runit_sfdc_ui import *
from random import choice
from string import ascii_lowercase
from Config.config_sfdc import *
from simple_salesforce import Salesforce
sf = Salesforce(username=ADMIN1... | [
"fkoncz@outlook.com"
] | fkoncz@outlook.com |
d547d4935857ad9e36b591b0da66d196ef409bef | 51903bfb827916bcf437cb29bf0eeefc438685e3 | /337easy.py | c18de0d1e97c766789122fad9d5b0573eb2f973d | [] | no_license | flyingdan/dailyprogrammer | 186a82e9324a7948058fe66291f9b9ab1828a8f8 | 684f3cb6d83478ddeb125805d69b81a773e22196 | refs/heads/master | 2021-07-19T06:35:20.670278 | 2017-10-25T20:10:07 | 2017-10-25T20:10:07 | 105,844,517 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 251 | py | # https://www.reddit.com/r/dailyprogrammer/comments/784fgr/20171023_challenge_337_easy_minimize_maximize/
# Area of circle = (pi)r^2
# Circumference of circle = 2(pi)r
# Area of sector covering x of circumference = rx/2
# x - angle subtended by arc | [
"1051205+flyingdan@users.noreply.github.com"
] | 1051205+flyingdan@users.noreply.github.com |
191e1a055ae6199a5c8835115f3f4c9f0708d3b9 | 68151600bd725c87047020e3f3e10e7b609ef113 | /main/migrations/0013_auto_20200527_2144.py | 55849a1241f1fa2d2e4b1b47eb46e5d3d8f0a01c | [] | no_license | rezendi/scanvine | 8a8bff3dad5342bf257319a35fbc0dd7b322e438 | cc8a41112e2f178617faa42056189d54b0d99785 | refs/heads/master | 2023-07-03T20:39:36.060393 | 2020-11-24T20:15:44 | 2020-11-24T20:15:44 | 257,799,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,162 | py | # Generated by Django 3.0.5 on 2020-05-27 21:44
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('main', '0012_auto_202005... | [
"jon@rezendi.com"
] | jon@rezendi.com |
eccd89a0b9800c91f111c41cba906f0bace5a4ff | f361f4477577716ab3e8796c787157e43b2f9178 | /training/python-training/number_game_2.py | ac3f9357ec9eb22351ea7a4f999f5241704c8e9f | [] | no_license | drewmullen/personal | edba910f5ea3a6311094d2b2047e522e700e5219 | 37995ad786bf1926d02cdb02ac7bb11ead9641ae | refs/heads/master | 2021-09-13T02:48:53.239667 | 2018-04-24T03:15:00 | 2018-04-24T03:15:00 | 83,120,385 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 896 | py | import random
secret_num = random.randint(1,10)
def main():
counter = 0
while counter < 6:
guess = take_input()
input_eval(guess)
counter+=1
print("Too many guesses, you lose!")
exit()
def take_input():
try:
guess = int(input("Guess a number between 1 and 10: "))
# ... | [
"drew.mullen@ge.com"
] | drew.mullen@ge.com |
adef9bc871758731eed912cc5563b6f355987ed3 | ec03d9949eb202c9de6c163566d7edffd583db93 | /dags/hello_world.py | 515b4e25dbc49b07eb81865d92302d7164e7deff | [] | no_license | tomatohope/airflow | 770ba89dd68259566969259c08bb63071d24248a | 8cbb9f94edf10fb66bddcd522fa71c8a186b4e6d | refs/heads/master | 2021-07-21T03:26:34.251577 | 2021-01-08T09:31:44 | 2021-01-08T09:31:44 | 231,941,543 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,614 | py | # coding: utf-8
import os
import airflow
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime as datetime1, timedelta
import datetime as datetime2
# interval time: 与 schedule_interval=timedelta(days=1), 一致
dt = datetime1.now() - datetime2.timedelta(days=... | [
"hope.gong@jingdigital.com"
] | hope.gong@jingdigital.com |
601c2feab2272fe4859dece473351049ed440a94 | 9117cee84a90c3c8a93028b5af67799e7ac5a802 | /CCC/CCC '12 S5 - Mouse Journey.py | 8e5e740163672ae2e0b5794ac50f7ba607b0f032 | [] | no_license | Stevan-Zhuang/DMOJ | 7a1fc3b00d553dcbb2e7069d046c4922fdf2286e | b0c7b1e52473e71e3b4a1f15fc34e35c9f5bd92c | refs/heads/master | 2023-06-16T16:34:36.497282 | 2021-07-15T20:09:32 | 2021-07-15T20:09:32 | 292,061,961 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | num_rows, num_cols = [int(data) for data in input().split()]
num_paths = [[0] * num_cols for row in range(num_rows)]
num_paths[0][0] = 1
num_cats = int(input())
for cat in range(num_cats):
row, col = input().split()
row, col = int(row) - 1, int(col) - 1
num_paths[row][col] = -1
for row in range(num_rows):... | [
"noreply@github.com"
] | Stevan-Zhuang.noreply@github.com |
67ef6df236a7de311ac3d78f352c53cc03be5d79 | e278055ba8efb122e88e6af2bff1e56b207942de | /extractors.py | f48d8f939973ded002832670ca897cbac198a5e1 | [] | no_license | ilay32/wals-project | 3e7f789bda1874909c02c2ea204b66de672f3a7f | 9ff9d16326d4af88655efb952b98a304bb80d028 | refs/heads/master | 2021-04-06T10:59:34.236027 | 2018-03-16T08:40:51 | 2018-03-16T08:40:51 | 83,216,194 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,079 | py | import re,logging
### globals ####
"""
match first numeric sequence as group(1), and make sure there are no
other numbers after it.
"""
numerizer = re.compile("(^\d+)([^\d]*$)")
"""
(tmp?) fallback for failed numerization.
"""
simplenumerizer = re.compile("(^\d+)")
### extractors ###
def natural(c):
"""
just ... | [
"silayster@gmail.com"
] | silayster@gmail.com |
b1c18147b5e2ae4f5dac680af85aad00eeae7872 | 1d8b108cb5720917c2de0b87f58db40349b82c3d | /get_data_gov_sg_met.py | 06904d7660f5904214d6e6b1282f0d4256dbab09 | [
"MIT"
] | permissive | tangshiyuan/access-data-gov-sg | baff5b3124d2b17bc7b3006fbdbf26d0d15f8ec3 | a5b013475162c6ea2deccf42e4ab9d0ea2d97dd5 | refs/heads/master | 2020-03-11T14:31:45.266000 | 2018-04-23T14:09:42 | 2018-04-23T14:09:42 | 130,057,244 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,666 | py | #!/usr/bin/env python3
"""
get_data_gov_sg_met.py:
Download meteorological station data (and/or air quality data) for a specific month via the
data.gov.sg APIs.
API key requirement:
In order to use this script, an API key needs to be obtained via
https://developers.data.gov.sg.
Usage:
To download... | [
"benjamin.grandey@gmail.com"
] | benjamin.grandey@gmail.com |
1a5134d5029d306a341b613d4b8f710505dd01e7 | 2d18404c29d4031d92d2eea5fdb583d01822824c | /Ecommerce_Project/App_Order/apps.py | 0db55b0dd6104f9a9a0f4c17eed8e851574a5c95 | [] | no_license | ShamimMSAS7/CSE470-Project | 5eb22eb189f51131c27b843f69470c3459579b83 | c0063b42612cead988e5b13c652f18459931a3f9 | refs/heads/main | 2023-08-04T17:00:02.200085 | 2021-09-17T17:33:20 | 2021-09-17T17:33:20 | 402,445,678 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149 | py | from django.apps import AppConfig
class AppOrderConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'App_Order'
| [
"shamimmsas7@gmail.com"
] | shamimmsas7@gmail.com |
866ea041035d1cf1c46a7455c4a1351d919e81e8 | 5b3eb673f6597b90acc98b48852417982924c5d6 | /users/views.py | 1919f9cdb270a67aa66acf8dce15ecc79da27b2b | [] | no_license | ritiksingh8/Buy-It-An-Ecommerce-WebApplication | 3e78d8ca35d167660bdbc5092ddabef41211335c | 6b9fd48e30660fd58ee0b6f3256fdab1b6a9b9a9 | refs/heads/master | 2020-12-01T18:13:46.229547 | 2020-02-16T12:34:15 | 2020-02-16T12:34:15 | 230,723,097 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,594 | py | from django.shortcuts import render, redirect
from django.contrib import messages
from .forms import UserRegisterForm
from shop.models import Products
from django.contrib.auth.models import User
from .models import Cart
from django.contrib.auth.decorators import login_required
def register(request):
if request.m... | [
"ritik.singh@spit.ac.in"
] | ritik.singh@spit.ac.in |
f6d5d30640cd3cfa6990ed9c790c621a34e1b867 | db7aa767430bab121142bf00812751ac6c0da3cc | /bin/2020_day_06.py | f12a032c0798fe86ed0c73d74032f4a5cb698525 | [] | no_license | osterbek/adventofcode | 64f4383e1532987732d1ed9fa673f279c4106bd3 | fdb017f0efdf4fdccc4e41874579e826ec1d02fc | refs/heads/main | 2023-02-05T19:30:25.868594 | 2020-12-25T09:18:18 | 2020-12-25T09:18:18 | 320,618,733 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 909 | py | from pathlib import Path
if __name__ == '__main__':
content = Path('../input/input_2020_06.txt').read_text().split('\n\n')
dataset = []
for group in range(0, len(content)):
dataset.append(content[group].split('\n'))
questions = [chr(value) for value in range(97, 123)]
solution = [... | [
"noreply@github.com"
] | osterbek.noreply@github.com |
d5c8cacfbea754c24822fed7168c9ea69133b51e | 56fe5ad50f01e347182f75b984e97f5b7ac4d647 | /security_in_memory_db.py | b3c8dd1f3784fda121e1d4c45d15b0505afd46e2 | [] | no_license | leenjiru/Sonia_books | e6a18033155e808339b6786018c3bdaca99fcf72 | 3cb752160eb789d9155482701fd581eb4aa8d170 | refs/heads/master | 2023-03-24T11:37:41.607157 | 2020-07-22T23:38:17 | 2020-07-22T23:38:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | # this applies when using an in memory db
from models.users import UserModel
from werkzeug.security import safe_str_cmp
# users = [
# {
# 'id': 1,
# 'username': 'Nick',
# 'Password': 'password'
# }
# ]
users = [
UserModel(1, 'Nicky', 'password1')
]
username_mapping = {u.username: ... | [
"www.leenick@gmail.com"
] | www.leenick@gmail.com |
e8b0c3235cae1f212444dfb8a51751d4dc4ad88f | c0717724c7dc3937252bb4a7bd7c796088db4c5d | /solutions/rijeci.py | f7bb3e0093b8d9f71b50155f01803ba70acde38f | [] | no_license | matthew-cheney/kattis-solutions | 58cd03394ad95e9ca7ffa3de66b69d90647b31ff | d9397ca4715a3ad576046a62bdd6c0fb9542d838 | refs/heads/main | 2023-01-24T12:49:18.871137 | 2020-12-10T04:10:48 | 2020-12-10T04:10:48 | 318,857,227 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 89 | py | K = int(input())
A, B = 1, 0
for k in range(K):
A, B = B, A + B
print(A, B) | [
"m.cheney95@outlook.com"
] | m.cheney95@outlook.com |
52f7b8091977541e4b8412d8743831f8ae5c963c | 28c69e41de8054279d6b8ebf2788693c1dfde159 | /33 雷家硕 上海/第一次作业/第二节课之熟悉embedding.py | 3aeb07dacb8bdd2d6d78da08db406710abad0ac9 | [] | no_license | edmlover/badouai-tujiban | 45260aad27da78c6c34c991f06568fe2adb7c324 | 088080ea1f617e0ce64655f8389288101e277702 | refs/heads/main | 2023-08-15T11:33:57.830821 | 2021-10-16T14:25:31 | 2021-10-16T14:25:31 | 409,547,422 | 0 | 2 | null | 2021-09-23T10:33:02 | 2021-09-23T10:33:01 | null | UTF-8 | Python | false | false | 422 | py | import torch
import torch.nn as nn
num_embeddings = 6#字符集的大小
embedding_dim = 3#每个字符向量化后的维度
embedding_layer = nn.Embedding(num_embeddings, embedding_dim)#指定生成的随机初始化的矩阵的行列
print(embedding_layer.weight,"随机初始化矩阵")
x = torch.LongTensor([1,2,5])#给定字符编号,也就是输入
embedding_out = embedding_layer(x)
print(embedding_out)
| [
"noreply@github.com"
] | edmlover.noreply@github.com |
c4a735ef7e38d09ec514e43a3557b1d581e8db67 | b3e39afef4ddac88f1391964995c2eefd02818e7 | /CantUseFour.py | e114529ae5c0e7df55d188f30bf5f8355f1ac7c3 | [] | no_license | ommmishra/randomPrograms | 44628e3c4b381e14b8d908342dcb9b7a854284c2 | f52f3b0b485b310b9d5429667fba9422b6af045c | refs/heads/master | 2022-02-25T08:12:25.656096 | 2022-01-19T15:08:14 | 2022-01-19T15:08:14 | 179,322,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 90 | py | n = "44523432342343243234237"
x = n.replace("4","3")
z = int(n) - int(x)
print(x)
print(z) | [
"ommmishra830@gmail.com"
] | ommmishra830@gmail.com |
91a9bfc31c26aa2120baa0b5004b7fc8989683ab | 2fb2291259b27291d379df07712c5449819992a5 | /config.py | 31aadb55b848c588abbf76a2d9b57469d09fbf93 | [] | no_license | ChoungJX/doweb_server | 6d4dcb68c4eab5eda8125543f4c644bdaa4d7dfb | bbbfa34713badcf7f8e58c23171269dca0085437 | refs/heads/master | 2021-07-13T15:59:40.674541 | 2021-04-27T17:23:03 | 2021-04-27T17:23:03 | 244,540,264 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 342 | py | import datetime
class index():
SQLALCHEMY_DATABASE_URI = 'sqlite:///service.db'
SQLALCHEMY_TRACK_MODIFICATIONS = True
PERMANENT_SESSION_LIFETIME = datetime.timedelta(hours=2,minutes=30)
SEND_FILE_MAX_AGE_DEFAULT = datetime.timedelta(days=7)
#PERMANENT_SESSION_LIFETIME = datetime.timedelta(seconds=... | [
"zhenglinfeng43@gmail.com"
] | zhenglinfeng43@gmail.com |
545c14b1b076d85bfb13ffa68e1b7ccb88aab197 | 8ec32cd65ba298a194887566ba9b4d0f8cd18893 | /moviedatabase.py | ea0bf255e32330d3eab089ee0229fca0cc70aa02 | [] | no_license | yvonnebutselaar/data-driven-design | b82f4ec2ab6efbf80852cd654e9e69b337af44ef | 7a723fb57d04eb64a15a5521cd4d87324599ebb7 | refs/heads/master | 2020-03-29T15:49:43.483908 | 2019-01-17T19:41:11 | 2019-01-17T19:41:11 | 150,082,676 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | import json
with open("movies.json") as f:
movies = json.load(f)
ayear = input("What year do you want to see?")
for items in movies:
if str(items["year"]) == ayear:
print(f'{items["title"]} is a movie from {items["year"]}')
f.close() | [
"yvonnebutselaar@gmail.com"
] | yvonnebutselaar@gmail.com |
25dd87758892b414426ec0e9c48e05fb4ac4a527 | a4a44ad46cd1306e2da72ff89483b0102fc9787d | /SamplePython/Developer Tool/fab_fabric/pengenalan_dr_web/11_settings.py | 8a018fc9d73ccd0692dcf6cf3d3a40dad2777d35 | [] | no_license | okipriyadi/NewSamplePython | 640eb3754de98e6276f0aa1dcf849ecea22d26b1 | e12aeb37e88ffbd16881a20a3c37cd835b7387d0 | refs/heads/master | 2020-05-22T01:15:17.427350 | 2017-02-21T04:47:08 | 2017-02-21T04:47:08 | 30,009,299 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | """
settings (fabric.context_managers.settings)
When you need to temporarily (i.e. for a certain command chain),
you can use the settings statement (i.e. override env values).
Usage examples:
"""
from fabric.api import settings, sudo
# Perform actions using a different *user*
with settings(user="avionics"):
sudo... | [
"oki.priyadi@pacificavionics.net"
] | oki.priyadi@pacificavionics.net |
e8a67b91c6b02523eb9741b4118764bca75190c1 | cbb29f7a30b5de0dc2cb421edc259d6ce2586279 | /tests/fixtures/readme_book.py | a9e759336c311c41d1228ce0baafcb0cb304adf2 | [] | no_license | Madoshakalaka/python-typing-to-typescript | a4ebd58ff22f85fe1d2affcd32390ae5e8f19104 | d5fd19b7f804a5e95f8b62a4d208c98d5b830593 | refs/heads/master | 2023-02-02T05:55:23.095977 | 2020-12-22T22:38:23 | 2020-12-22T22:38:23 | 321,219,843 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 291 | py | from typing import TypedDict
class Book(TypedDict):
pages: int
chapters: List[Chapter]
Authors: List[str]
class Chapter(TypedDict):
title: str
# short chapters only has one paragraph
content: Union[str, List[Paragraph]]
class Paragraph(TypedDict):
content: str | [
"syan4@ualberta.ca"
] | syan4@ualberta.ca |
edb367901d6a40a0fc07e0cb1fbefce67e8619fe | 08b640c667f69b449f02ff6b41d9c6a4bc804947 | /csduarte/ex35/sd2.py | a346aaf891197513b52bd00e419bef3593e7c2f1 | [] | no_license | csduarte/FunPy | db2ad9e60849820a823b0fcf7dd5c15d70ec0c5a | 2a73e975dc6617f1fe11fc5b5ed7243f95bb865d | refs/heads/master | 2021-05-04T11:21:02.010283 | 2016-10-07T00:24:13 | 2016-10-07T00:24:13 | 48,732,399 | 0 | 0 | null | 2016-10-07T00:24:14 | 2015-12-29T06:48:26 | Python | UTF-8 | Python | false | false | 50 | py | # Looks good. Cleared up a few caps and what not.
| [
"csduarte@gmail.com"
] | csduarte@gmail.com |
170f4291b543e014fadf954a0e8b37173c22f52f | 965e1e205bf053d93b32be0dab4d45455b42b3a2 | /NLP/PartsSpeech.py | 29aa35ab37a1d1ca416e2d528400a686da8f4ba4 | [] | no_license | panditdandgule/DataScience | 9e58867dd960ec554e0bbb8e4ce93baa226ab927 | 3eb59c129d81a6ba6b45e24113e25e63d19c60cb | refs/heads/master | 2021-07-22T21:44:12.700518 | 2020-05-14T12:01:05 | 2020-05-14T12:01:05 | 166,497,260 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 669 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 15 19:59:50 2018
@author: pandit
"""
import nltk
from nltk.corpus import state_union
from nltk.tokenize import PunktSentenceTokenizer
train_text=state_union.raw("2005-GWBush.txt")
sample_text=state_union.raw("2005-GWBush.txt")
custom_sent_tokeniz... | [
"panditdandgule777@gmail.com"
] | panditdandgule777@gmail.com |
4e8a125a7458dd004507e648e9417922ad85affe | 14d7f5f83b6f84871ff6ebfa0af4c17b7115a33f | /eco_models/mpb/integration_stop.py | f391a20c2a14bae90e14d4ebe8bd5777a3fa7d32 | [] | no_license | tonychangmsu/Python_Scripts | 8ca7bc841c94dcab36743bce190357ac2b1698a5 | 036f498b1fc68953d90aac15f0a5ea2f2f72423b | refs/heads/master | 2016-09-11T14:32:17.133399 | 2016-03-28T16:34:40 | 2016-03-28T16:34:40 | 10,370,475 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 736 | py | # Title: integration_stop.py
# Author: Tony Chang
# Date: 10.26.2015
# Abstract: Attempt to find a solution to determining where the cumulative sum (numerical integration), of a array of
2D matricies sum up to one (find the index)
import numpy as np
#first suppose we have a 3D matrix of values under 1... | [
"tony.chang@msu.montana.edu"
] | tony.chang@msu.montana.edu |
455eb5dcfc9b2227454cfd2a1ff46a485409a8ad | 3b7d8027e34f2338517d9c34f82bb02eb88de201 | /Vote.py | b8027b299ae5b4a3e556f3b8b20d8304c2ad44ca | [] | no_license | amishofficial/decentralizeVoting | 44dd2dd0fb4f4779a59503ff87e8cbfeea9d0028 | e957e317958173b4ba006518c8b87dfbb765593a | refs/heads/main | 2023-03-08T13:03:45.835971 | 2021-02-24T11:27:40 | 2021-02-24T11:27:40 | 341,876,887 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 681 | py | from collections import OrderedDict
from utility.printable import Printable
class Vote(Printable):
"""A transaction which can be added to a vote_block in the votechain.
Attributes:
:voter: The voter of the coins.
:vote_to: The vote_to of the coins.
:signature: The signature of the tra... | [
"noreply@github.com"
] | amishofficial.noreply@github.com |
b593fcc836a48a7354d9240bfcd92cf6de664747 | 992f080016e7de4e3de9ff875a9778404c6c8fdc | /app.py | 528c58018f342d6301ce0278c345f7c43269f087 | [] | no_license | Garasuno/lineBot2 | 9c50903c26fc27947dfca7b5fd8915779aa2b1a4 | 034cf2ed295710cb3f04483cc36f8d0bc15a462d | refs/heads/master | 2020-06-10T13:37:15.646984 | 2019-09-03T07:09:11 | 2019-09-03T07:09:11 | 193,651,533 | 0 | 0 | null | 2019-06-25T06:51:46 | 2019-06-25T06:51:46 | null | UTF-8 | Python | false | false | 1,592 | py | from flask import Flask, jsonify, request
import os
import json
import requests
app = Flask(__name__)
@app.route('/')
def index():
a=os.environ['Authorization']
return "นางสาวนฤภร สัมมา เลขที่ 10 ชั้น ม.4/9"
@app.route("/webhook", methods=['POST'])
def webhook():
if request.method == 'POST':
retu... | [
"noreply@github.com"
] | Garasuno.noreply@github.com |
64940b59557a57f6050239f90c6e4c8057f3ca09 | 7becb767c5536f450d9aa83821c2a62a0b66175a | /admintools/round_lib/get_round_id.py | 90fc6b42835245bf12461b4b1a8a8f3cf9a678a8 | [] | no_license | urirot/planetWarsRunner | af69837cc8f83902505bbe1f4628aaee7476348a | 76e0458115ebbe581c104d569ad17899dae78fb3 | refs/heads/master | 2021-01-01T17:55:33.012912 | 2018-07-04T19:06:04 | 2018-07-04T19:06:04 | 98,202,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 582 | py | #! /usr/bin/python
from urllib import urlopen
import json
import sys
from config import *
if len(sys.argv) != 3:
print "Usage: ./get_round_id.py <tournament id> <round number>"
sys.exit(2)
tourn_id = sys.argv[1]
round_number = sys.argv[2]
url = HOST + "tournaments/%s/round_by_name?name=%s" % (tour... | [
"gazolin@gmail.com"
] | gazolin@gmail.com |
ad5ff59ea22ba3812b95850738f8c40ca4e9036d | d19a463c154da8e66330450d8462d1c4d6de3cc1 | /server/data/sp500.py | c725d6384d1d1d94739c2f624948942607e13ade | [] | no_license | nhatduy227/StockApp | 7209ede008205de1f8b2997ed2d8d8677bad43ea | 5a2dc2153d92eb8afba1dfd4b61b6a849f237b9b | refs/heads/master | 2023-07-14T06:48:02.937346 | 2021-09-02T18:22:13 | 2021-09-02T18:22:13 | 390,561,887 | 3 | 1 | null | 2021-08-29T23:35:36 | 2021-07-29T01:33:13 | JavaScript | UTF-8 | Python | false | false | 1,728 | py | '''S&P 500 Stock Reader
The script reads in all companines in the Standard & Poor Index, provided by Wikipedia.
It then grabs the historical stock price of each ticker and saves them in PyStore. Then,
continuously adds in end-of-day stocks daily.
'''
import pandas as pd
import yfinance as yf
from sqlalchemy import cr... | [
"aowangphilly@gmail.com"
] | aowangphilly@gmail.com |
986d5bf4bc52b34aa41124711f6c80c7e1957253 | 4538728d33a8700e5bec08ec0d7b05480e042902 | /utils/send_email.py | 7f3a23ccb391e13913a08307e567cd922bcea390 | [] | no_license | Faouzizi/Alerting-System | 5b841a7374da0012bc0a9a8111d8925139ce89a7 | 98fdf263efb0f3e007bf666fb355ec3cede44076 | refs/heads/main | 2023-01-19T02:00:19.773848 | 2020-11-26T01:11:01 | 2020-11-26T01:11:01 | 314,676,909 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,533 | py | #############################################################################
########### Import python packages
#############################################################################
import smtplib
import config
from utils.get_templates import get_html_template
from email.mime.multipart import MIM... | [
"noreply@github.com"
] | Faouzizi.noreply@github.com |
37a2620996f5b4f1543105bffdc6fb58220c624c | 6a4ebebbe0d7f81efc4f1749054a2ed7242c0e58 | /granary/test/test_googleplus.py | e12902c656d570b1ffc904713e8a4b875bb87829 | [
"LicenseRef-scancode-public-domain"
] | permissive | skylarker/granary | 6e192ecd2475febb3585728d5ba7afe34742107d | 2fd8ef017588b955e78606242ce582849cfd57ac | refs/heads/master | 2020-12-26T21:35:04.155528 | 2016-04-18T18:15:30 | 2016-04-18T18:15:30 | 56,891,160 | 1 | 0 | null | 2016-04-22T23:43:09 | 2016-04-22T23:43:09 | null | UTF-8 | Python | false | false | 21,560 | py | # coding=utf-8
"""Unit tests for googleplus.py.
See googleapiclient/http.py for details on using RequestMockBuilder to mock out
Google API calls. (This is the current doc on apiclient mocks, but it doesn't
mention RequestMockBuilder:
https://developers.google.com/api-client-library/python/guide/mocks )
TODO: figure o... | [
"git@ryanb.org"
] | git@ryanb.org |
d4a278c814384d490f690a077bab77a109b60b57 | 0ad79e7104500b5988f07e9f19f17a540f07605a | /Python算法指南/动态规划/67_最小和子数组_灵活运用动态规划.py | 3273d8c3606054f4d873463057975d507015c93a | [] | no_license | tonyyo/PycharmProjects | f0ce458ed662e33e75ddffbfcf28b0d1ed638743 | a28620923336c352103858e0ccfc4117d1c4ea01 | refs/heads/master | 2022-09-19T02:02:15.919201 | 2020-06-03T12:57:38 | 2020-06-03T12:57:38 | 263,204,131 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 551 | py | class Solution:
def minSubArray(self, nums):
MIN = 65536
SUM = nums[0]
for i in range(1, len(nums)):
SUM = SUM + nums[i] if SUM < 0 else nums[i] # SUM > 0有害于最小和
MIN = min(MIN, SUM)
return MIN
if __name__ == '__main__':
temp = Solution()
List1 = [1, -1... | [
"1325338208@qq.com"
] | 1325338208@qq.com |
f70d4e2e4894ba7b8637af7ba93f753c0b5faa18 | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /115_testing/examples/Github/_Level_1/python_unittests-master/sample_functions.py | 8d63bc99d2a30ac0321b97976440c0d8474e1244 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 204 | py |
def sum(a, b):
return a + b
def contains_numbers(alpha_num_str):
for char in alpha_num_str:
if char.isdigit():
return False
return False
def div(a, b):
return a / b | [
"sergejyurskyj@yahoo.com"
] | sergejyurskyj@yahoo.com |
9ae067e5cd4eccc2e3a324cc2e07669caccf8637 | 6630694f401f6f475dd81bb01ff9368db844ccff | /configs/_base_/models/hrnet/hrnet-w48.py | f0604958481ba2af277e3a0f9515dc1423def6c6 | [
"Apache-2.0"
] | permissive | open-mmlab/mmpretrain | 98a4d6b3bb747efc3d50decebf84fc3ffa41076a | d2ccc44a2c8e5d49bb26187aff42f2abc90aee28 | refs/heads/main | 2023-08-30T19:11:24.771498 | 2023-08-23T02:45:18 | 2023-08-23T02:45:18 | 278,415,292 | 652 | 186 | Apache-2.0 | 2023-09-08T08:01:40 | 2020-07-09T16:25:04 | Python | UTF-8 | Python | false | false | 418 | py | # model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='HRNet', arch='w48'),
neck=[
dict(type='HRFuseScales', in_channels=(48, 96, 192, 384)),
dict(type='GlobalAveragePooling'),
],
head=dict(
type='LinearClsHead',
in_channels=2048,
num_class... | [
"noreply@github.com"
] | open-mmlab.noreply@github.com |
5d9a526f41762caa210b4add3fe922444501227d | 1546f47a68577c55371d61d9805d890fddf843d5 | /Arthur/events/filters.py | 4c0aeb65c0fcf2f8dd463090bb5dc37135f85a58 | [] | no_license | tadgh/Arthur | b24299fc4edc5eba424e3007389e2a469a38e1a0 | 6ff839904973b8c3ad3eecb677cb9f3e3bbc1934 | refs/heads/master | 2022-12-14T13:34:44.610442 | 2020-04-28T04:37:07 | 2020-04-28T04:37:07 | 189,875,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 160 | py |
from django_filters import rest_framework as filters
class LeaderboardFilter(filters.FilterSet):
posted = filters.DateFromToRangeFilter(field_name='date') | [
"garygrantgraham@gmail.com"
] | garygrantgraham@gmail.com |
6c34ab7d080c5769a3dcf15d2a5cfd4dce22ea9d | 394742b366c0eed8997e8c4058daa1e122fffdf3 | /Lesson23/manage.py | 3081204679636e0df707aa01ca17a805669e6dc5 | [
"MIT"
] | permissive | IslamRaslambekov/HomeWork | e293468d73998f7f5e5e8f50a318546a01a6d593 | a1454c3539edf7475de686383cee8db9f1bdf448 | refs/heads/master | 2022-05-07T02:46:48.916601 | 2022-04-29T01:38:42 | 2022-04-29T01:38:42 | 243,369,694 | 0 | 1 | MIT | 2022-04-14T10:25:28 | 2020-02-26T21:29:16 | CSS | UTF-8 | Python | false | false | 664 | 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', 'Lesson24.settings')
try:
from django.core.management import execute_from_command_line
except Imp... | [
"rodoslav12345@gmail.com"
] | rodoslav12345@gmail.com |
962ad189b3695ad55e5db43027b6e869b2817147 | fb408595c1edee0be293302c6d7bfc0c77d37c46 | /python/DP/DP_2096.py | a5753e0e8dda2057310f4dee0f056e7940fbb74d | [] | no_license | as950118/Algorithm | 39ad25519fd0e42b90ddf3797a61239862ad79b5 | 739a7d4b569057cdb6b6faa74254512b83d02bb1 | refs/heads/master | 2023-07-21T12:38:00.653579 | 2023-07-19T06:57:17 | 2023-07-19T06:57:17 | 125,176,176 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 610 | py | n = int(input())
arr = [0]*(3)
dp_max = [0]*(3)
dp_min = [0]*(3)
arr = list(map(int, input().split()))
temp = arr[:]
dp_max = temp[:]
dp_min = temp[:]
for i in range(1, n):
arr = list(map(int, input().split()))
temp[0] = max(dp_max[0], dp_max[1]) + arr[0]
temp[1] = max(dp_max[0], dp_max[1], dp_max[2]) + ... | [
"na_qa@icloud.com"
] | na_qa@icloud.com |
a15574410724ba4ab74e9a614969967bd761fc75 | 242fc8beff7e1e51b5cdd9bfa3d118267f56861d | /shunting_yard/parser.py | dd42d72177d0963e445e9387f19599b0eaaefeaf | [] | no_license | gmkvaal/shunting_yard | dac0dd780cf2c779f410edad54f72618c5379f80 | d84b0c4aa3c36aff435ede5252f143182f656fc0 | refs/heads/master | 2021-07-23T12:14:48.666536 | 2017-11-03T13:08:13 | 2017-11-03T13:08:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,794 | py | from typing import List
from collections import namedtuple
from enum import Enum, auto
from .tokenizer import tokenizer
StateRet = namedtuple('StateRet', ['next_state', 'increment'])
class StateType(Enum):
NUMBER = auto()
def classify_token(token: dict, operator_stack: List[str], output_queue: List[str]) -> S... | [
"guttorm.kvaal@gmail.com"
] | guttorm.kvaal@gmail.com |
13989c3455665529fd642327e8ef34cd1679e3aa | 743057b36fda035eb8e6378f0c192ca4e2abf76e | /toMap.py | 4e527f566d14f32355e1c1308db25b20b02582a2 | [] | no_license | haegray/Python-and-Java-Files | f53ffa0a6872d7f29328353bbf7e63d98b796250 | 0b6fcc0158711b184ee1bf4b59f6dc835361e03a | refs/heads/master | 2021-01-13T14:39:06.230924 | 2016-12-23T17:10:45 | 2016-12-23T17:10:45 | 76,681,884 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 109 | py | #toNumbers.py
def toMap(strList):
for i in strList:
return (map(float,i))
toMap()
| [
"anaisgray.ag@gmail.com"
] | anaisgray.ag@gmail.com |
3f2d06c3d1274caa259fdb14604ed63acc54c4a3 | e950cafc9feeeacba9d40b18477dab43bb8737bf | /src/lab1/tfs_client.py | a184cf7077222781caa9649835a758e543e1b1d3 | [
"MIT-0"
] | permissive | aws-samples/aws-inf1-gcr-workshop | fe21b4637f09a2c51a977aaea999a20c31b43277 | a5712c17a66809fc60cd57a056a00df3b9b2fc8e | refs/heads/master | 2022-04-23T20:34:53.914422 | 2020-04-28T02:36:42 | 2020-04-28T02:36:42 | 254,085,220 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,791 | py | '''
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License").
You may not use this file except in compliance with the License.
A copy of the License is located at
http://www.apache.org/licenses/LICENSE-2.0
or in the "license" fi... | [
"zhazhn@amazon.com"
] | zhazhn@amazon.com |
ed3cea97ae571dfe1f0a45dba14fc43b93212a84 | fb21a8f1fc02f5cee6f0a759e336561726d3b184 | /experiments/lstm-notcut/run.py | 74e6c8e8a8f1be2abab441657d41651360c17bd5 | [] | no_license | yamaguchi-milkcocholate/GoogleBrain-VentilatorPressurePrediction | 76632353ff25a0c9ad8db51ef1f4b728954537b5 | 1996bb81f5b6880a20b8e39c681fecef0bc8a201 | refs/heads/main | 2023-09-05T17:25:46.980274 | 2021-11-24T04:40:50 | 2021-11-24T04:40:50 | 410,795,933 | 0 | 0 | null | 2021-11-04T01:28:27 | 2021-09-27T08:06:55 | Python | UTF-8 | Python | false | false | 6,082 | py | from random import seed
import numpy as np
import pandas as pd
import json
import os
import sys
import gc
import shutil
from pprint import pprint
from pathlib import Path
from typing import *
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, M... | [
"zuuuubo.tetsu@outlook.jp"
] | zuuuubo.tetsu@outlook.jp |
1bcb03882cd8aba3be9ee674c15f8f2ca62224bf | 42170b78e5277d96a33b8d796e3075a378723aa8 | /dataxHWSp2021/Practice Homework/Numpy_Pandas/student/tests/q1d.py | dca0b114bbcac2ff4f73cc5d33860855e83c8837 | [
"Apache-2.0"
] | permissive | 6shun/datax | e3d4d32295c26a6e62c6cd1ae2cabdd9b2f1addf | f912d22c838b511d3ada4ecfa3548afd80437b74 | refs/heads/main | 2023-03-03T09:51:35.255111 | 2022-01-21T16:13:34 | 2022-01-21T16:13:34 | 338,253,155 | 1 | 0 | null | 2021-02-12T07:42:14 | 2021-02-12T07:42:14 | null | UTF-8 | Python | false | false | 392 | py | test = { 'name': 'q1d',
'points': 1,
'suites': [ { 'cases': [ { 'code': '>>> isinstance(d, float)\nTrue',
'hidden': False,
'locked': False}],
'scored': True,
'setup': '',
... | [
"52470060+Mahan-Tajrobehkar@users.noreply.github.com"
] | 52470060+Mahan-Tajrobehkar@users.noreply.github.com |
d88adc7061a3c48c6d2afe7420444e5c70762261 | 5297bdd3ccf64be915c05bfc599cb66d52fa6b17 | /memword/api/lessons.py | d2fb313eb68375d2f5e5ce06628007a4cb09c546 | [] | no_license | scdekov/memword | ee04ef4d4ca55084bf678d354ff77b0cb42403ba | bd011358c252ac6e3930dcae15df76c7103c61e0 | refs/heads/master | 2022-12-11T09:13:27.507111 | 2019-11-13T21:37:10 | 2019-11-13T21:37:10 | 146,096,522 | 1 | 1 | null | 2022-12-08T02:50:40 | 2018-08-25T13:14:04 | Python | UTF-8 | Python | false | false | 5,519 | py | from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404
from django.utils import timezone
from rest_framework import serializers, viewsets, decorators, status
from rest_framework.response import Response
from memword.api.serializers import TargetSerializer
from memword.models.les... | [
"svetlio1994@gmail.com"
] | svetlio1994@gmail.com |
ed0a4b5efada1939d7898d3beec9436407d38b31 | 7c208711405aa6bd99106b94697028734e3fb1f9 | /app/campaign_rec.py | f3bbb988956ae76c790a81ac4f90a42ced4f46be | [] | no_license | tb16/fundraising-campaign | 8e280dcec7820c6b65ac7ce0b7a4edc68cde735d | a091d67fb3e314d081b6c8d3ec3a447bf134d498 | refs/heads/master | 2021-01-11T18:17:27.329103 | 2016-10-18T19:32:35 | 2016-10-18T19:32:35 | 69,335,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,454 | py | import pandas as pd
import numpy as np
import requests
import bs4
from string import punctuation
import cPickle as pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
from tokenizer import tokenize
'''
campaign recommendation using cosine similarity of... | [
"Komal@Teks-MacBook-Pro.local"
] | Komal@Teks-MacBook-Pro.local |
5e85990864fdcde2e416a6a7d1e2c645b29cd5de | 93b866284ca1ac29c5005555f2cb30454a0fb5cf | /Problems/59-Problem/Problem 59.py | 7f38e437f006d4d25166047a46688def172fbf69 | [] | no_license | FrancoisdeFouchecour/Projet-Euler | c2b17d1e35fbd10a708ba3221825a62a17818382 | 0cf70457c0418264c2eff7cdd0e92a07b61ecb07 | refs/heads/master | 2021-12-25T05:44:08.054648 | 2021-11-27T21:47:42 | 2021-11-27T21:47:42 | 168,253,571 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,087 | py | import time
import numpy as np
problem_number = 59
def decimal_to_binar(n):
if n == 0:
return 0
return n%2 + 10*decimal_to_binar(n//2)
def binar_to_decimal(n):
if n == 1 or n == 0:
return n
else:
return int(str(n)[-1]) + 2* binar_to_decimal(int(str(n)[:-1]))
def XOR(A, B... | [
"francois.de-salivet-de-fouchecour@polytechnique.edu"
] | francois.de-salivet-de-fouchecour@polytechnique.edu |
716139a42c9d3176dc33f024f607d86df864e7be | b5cd2a7828acdaebd49964ac93be7085bea0d011 | /carte.py | c4e4e9aa68d71d16ec5026c7e3144cfd0e940827 | [] | no_license | stevchen99/pythonRoboc | e5576930cd9295c08336ad3754c7a4e326e5a8a5 | 5301be8e918ce6b3c36b491e02c8aaddd520eb4e | refs/heads/master | 2020-12-08T16:44:46.439760 | 2020-01-17T18:03:39 | 2020-01-17T18:03:39 | 233,036,407 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 340 | py | # -*-coding:Utf-8 -*
"""Ce module contient la classe Carte."""
class Carte:
"""Objet de transition entre un fichier et un labyrinthe."""
def __init__(self, nom, chaine):
self.nom = nom
self.labyrinthe = creer_labyrinthe_depuis_chaine(chaine)
def __repr__(self):
return "<Carte {}... | [
"stevchen99@gmail.com"
] | stevchen99@gmail.com |
f443e27275903b151314c40311f6464aafca1b44 | 72784799e5436e8a96462bdbcb29baeb644dcc7f | /utilities/animate.py | 2c562e41c8ec2e736db293f0f772a55ff0091345 | [] | no_license | simonsben/undergrad_thesis | 31dd205cb734f7c876b5053040e5ab0bf8fbd5cb | 8458d00ae6525602b944279c2c280149a5957cb1 | refs/heads/master | 2020-04-02T10:46:55.255322 | 2019-04-08T06:01:48 | 2019-04-08T06:01:48 | 154,354,775 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 979 | py | from matplotlib.pylab import figure, show, savefig, title, axis, draw
from networkx import spring_layout, draw_networkx_edges, draw_networkx_nodes
from matplotlib.animation import FuncAnimation
def add_node(graph, i, plot_layout):
# draw_networkx_edges(graph, plot_layout, alpha=.3)
# draw_networkx_nodes(node,... | [
"simons.ben0@gmail.com"
] | simons.ben0@gmail.com |
ee1b43a7f7c4f3012ce2cae10f1509013f318252 | 4564b5786932bd5a94f442a2eae170564e12640b | /python/NaverMovieCrawling.py | 9f08c4b89a304193341b12545e911ac0ae60723a | [] | no_license | slomeer/sparta | 60feb9d5e9ecebedca1d08735f4c99912deb39c6 | bd96e3700c10bebd0c3e742fb35f4151f88a7e89 | refs/heads/master | 2021-03-15T04:44:54.479873 | 2020-06-15T06:44:46 | 2020-06-15T06:44:46 | 246,825,166 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,127 | py | import requests
from bs4 import BeautifulSoup
# 타겟 URL을 읽어서 HTML를 받아오고,
headers = {'User-Agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
data = requests.get('https://movie.naver.com/movie/sdb/rank/rmovie.nhn?sel=pnt&date=20200303',headers=he... | [
"61731412+slomeer@users.noreply.github.com"
] | 61731412+slomeer@users.noreply.github.com |
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