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values | visit_date timestamp[us] | revision_date timestamp[us] | committer_date timestamp[us] | github_id int64 18.2k 668M ⌀ | star_events_count int64 0 102k | fork_events_count int64 0 38.2k | gha_license_id stringclasses 17
values | gha_event_created_at timestamp[us] | gha_created_at timestamp[us] | gha_language stringclasses 107
values | src_encoding stringclasses 20
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95da0414284b1f8b0e0e098a72c08e474d19c39a | c3e4afc3070fb611b38e2e9e6a1ae3e57f10fb34 | /dbom/rsync_demo.py | 4b9feb71aacb0e69db812a81c2cd2f16ff378c68 | [] | no_license | eat1124/TSDBOM | 6744a11fa3245012805d3e10321e385be0623c7d | 1332c9591c7813ee99e0fc597cd58ff1a7b798bd | refs/heads/master | 2022-12-01T16:39:10.800234 | 2019-09-03T01:33:45 | 2019-09-03T01:33:45 | 174,254,774 | 0 | 0 | null | 2022-11-22T02:55:53 | 2019-03-07T02:14:15 | JavaScript | UTF-8 | Python | false | false | 18,130 | py | """
Rsync自动化备份
"""
import paramiko
import re
class RsyncBackup(object):
"""
Rsync备份:
单一安装Rsync
集体安装Rsync
配置Rsync 多个模块
添加虚拟用户
启动服务
配置密码文件
设置开机自启
服务端/客户端
执行Rsync的命令选项
执行Rsync的参数:服务器端文件地址,虚拟用户名,IP地址,模块名称
"""
def __init__... | [
"2972799448@qq.com"
] | 2972799448@qq.com |
abcc57f99068124670c61612d93d80115daf1130 | 0b88201be895a25c8c321481615b4965f529d6da | /CDTB_Seg/model/SEG_BOT/model.py | 64b039c9c3e6f5e3a9a391a5db78055dd22219a1 | [
"BSD-2-Clause",
"MIT"
] | permissive | NLP-Discourse-SoochowU/segmenter2020 | 1e8335da56b26f52ed48eb462047b9fe9b1e10df | fd71b353c59bcb82ec2cd0bebf943040756faa63 | refs/heads/master | 2023-01-13T23:14:37.078780 | 2020-11-24T05:07:26 | 2020-11-24T05:07:26 | 283,890,012 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 9,509 | py | # -*- coding: utf-8 -*-
"""
@Author: Lyzhang
@Date:
@Description:
"""
import torch
import torch.nn as nn
import torch.nn.functional as func
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from config import *
from model.SEG_BOT.pointer import Pointer
class Segment_Model(nn.Mod... | [
"longyin128128@163.com"
] | longyin128128@163.com |
8026c945551a6f83770ed3d763c38d37a713608f | 8bfe6d8d592829aef63dd8780399ffe7d6c0500b | /mysite/polls/migrations/0002_auto_20200724_1700.py | df740bffa1081d1f6d31e0e0d60915d7beef842d | [] | no_license | mohitkarhana/MovieDetail | 5cb7f7b71a26e4239b5cb09c6fa5fe755ffbb517 | b8961c35db3df996878a3000bfad24b962f32479 | refs/heads/master | 2022-11-21T17:52:33.277463 | 2020-07-25T10:53:13 | 2020-07-25T10:53:13 | 282,422,845 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | # Generated by Django 3.0.8 on 2020-07-24 17:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('polls', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='movie_data',
name='movie_poster',
... | [
"mohitkarhana0028@gmail.com"
] | mohitkarhana0028@gmail.com |
c8836b33a50d4efcecac0159fa205c363e153582 | 9c7eb90ed23e61adf52cf78a02ad20d6d805e8e3 | /migrations/versions/8be8963fb0f3_.py | 54049c1ea5899c6063ee2e83f505e371be647ed4 | [] | no_license | david94bert/info3180-project1 | bb755b9525b5cb0aaf49ea6109ccb87e470511a4 | 786be813fcdcb6ca56131b10682aa2f7e9cd4bed | refs/heads/master | 2020-03-11T18:14:36.570457 | 2018-05-05T07:36:41 | 2018-05-05T07:36:41 | 130,171,638 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 703 | py | """empty message
Revision ID: 8be8963fb0f3
Revises: 349a068d240c
Create Date: 2018-02-27 23:47:47.468946
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '8be8963fb0f3'
down_revision = '349a068d240c'
branch_labels = None
depends_on = None
def... | [
"david94bert@yahoo.com"
] | david94bert@yahoo.com |
f9c5c63e12d9b0b73fee56bf952f1eef6fd0eabf | a9e8c17c0add797ec08b5938d8a6b73f723e7af2 | /spokestack/nsx/webrtc.py | 53d53c87248d06ac75e11af85793b6118567c948 | [
"LicenseRef-scancode-warranty-disclaimer",
"Python-2.0",
"Apache-2.0"
] | permissive | ferasalsaab/spokestack-python | b57f8363d97d32afae81208256383b64ecb410f8 | 95e451f9ab6ab1af2370d3e1007ebf6739e4765f | refs/heads/master | 2023-09-04T21:25:54.847063 | 2021-10-26T20:43:55 | 2021-10-26T20:43:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,002 | py | """
This module contains the class for webrtc automatic noise suppression
"""
import numpy as np
from spokestack.context import SpeechContext
from spokestack.extensions.webrtc.nsx import WebRtcNsx
POLICY_MILD = 0
POLICY_MEDIUM = 1
POLICY_AGGRESSIVE = 2
POLICY_VERY_AGGRESSIVE = 3
class AutomaticNoiseSuppression:
... | [
"noreply@github.com"
] | noreply@github.com |
d3e1782ef5fb6e2d3c9bcd7344caf934341671ba | 02345c1fd293674f331d9f2dc175cd2d7d291738 | /Markowitz Portfolio Theory - Portfolio Optimization.py | c553e8843812df543f11cf56777af589362d1616 | [] | no_license | MdAsadUzJaman/Portfolio-Analysis-using-Markowitz-Portfolio-Theory | 55c4fdec4a5dfa2ed04842395932f24364b23b87 | 927097da3c4de3005faf377883e0e6e6a43105f8 | refs/heads/master | 2022-09-24T00:29:57.727272 | 2020-06-05T17:51:34 | 2020-06-05T17:51:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,707 | py | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Importing numpy, matplotlib, pandas,pandas_datareader
import pandas as pd
import numpy as np
import pandas_datareader.data as web
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# ## Markowitz Portfolio Theory (MPT)
# Modern port... | [
"noreply@github.com"
] | noreply@github.com |
de63bdffcb21ae66826ed72756766dc1638d7361 | 926b3c52070f6e309567c8598248fd5c57095be9 | /src/mmgeneration/configs/positional_encoding_in_gans/stylegan2_c2_ffhq_512_b3x8_1100k.py | b051c9f38b4cd25d7bc657feff88311e3c9f1f18 | [
"Apache-2.0"
] | permissive | fengbingchun/PyTorch_Test | 410f7cd2303707b0141d433fb9d144a961e1f4c8 | df5c2169f0b699bcd6e74adb4cb0e57f7dcd9348 | refs/heads/master | 2023-05-23T16:42:29.711338 | 2023-03-25T11:31:43 | 2023-03-25T11:31:43 | 167,339,907 | 15 | 4 | null | 2023-03-25T11:31:45 | 2019-01-24T09:24:59 | C++ | UTF-8 | Python | false | false | 1,260 | py | """Config for the `config-f` setting in StyleGAN2."""
_base_ = [
'../_base_/datasets/ffhq_flip.py',
'../_base_/models/stylegan/stylegan2_base.py',
'../_base_/default_runtime.py'
]
model = dict(generator=dict(out_size=512), discriminator=dict(in_size=512))
data = dict(
samples_per_gpu=3,
train=dic... | [
"fengbingchun@163.com"
] | fengbingchun@163.com |
b74a1cb1eca45f142c0d82b002db983581f70bd2 | 8f03c631bd6d034e78d7bd46eb490fd4faec7a8a | /fly_bs.py | ef50711ec084c907b6d7ac63e785b9a2b8affc8a | [] | no_license | gtwell/stock_buy_point | e30cf2ef08a79ada58518a73be8725f6c044d083 | 2b1589ace01cebdb22485c775b782058e2161a1c | refs/heads/master | 2023-02-26T15:53:17.922931 | 2021-02-02T14:20:47 | 2021-02-02T14:20:47 | 287,318,382 | 10 | 2 | null | null | null | null | UTF-8 | Python | false | false | 6,854 | py | '''
Author: gtwell
Date: 2020-08-13 17:09:01
LastEditTime: 2020-12-03 23:09:08
'''
import baostock as bs
import pandas as pd
import datetime
from chinese_calendar import is_workday
import numpy as np
from get_stocks import get_better_stocks, get_hs300_zz500_data
from tqdm import tqdm
import os
import yagm... | [
"noreply@github.com"
] | noreply@github.com |
e3ed95a44c706d1c1798c3a7374b45aee5f99317 | 6701c62ba8763cc9e0e81065c63a6f62600a3cec | /Models/Trains/MumbaiTrain.py | d7a5412b1469b866a27fe0501b174f7916ed2212 | [] | no_license | Aryanp211/Persistent_Internship | 457aa25592d5782fb528d59b8dba33d85662bcee | a672b0ce4847fcb34547eb922b2e27cc4a9e515b | refs/heads/main | 2023-05-30T20:51:46.279229 | 2021-06-16T19:24:53 | 2021-06-16T19:24:53 | 377,582,953 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,855 | py | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 6 23:59:57 2021
@author: Aryan
"""
import pandas as pd
import scipy.stats as stats
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import r2_score
from sklearn.metrics import... | [
"54819515+Aryanp211@users.noreply.github.com"
] | 54819515+Aryanp211@users.noreply.github.com |
7854fac2668f4fb5cb1e8ff450a7dfa8e8e0d4fc | e314c25746cd04cfc1e0c88d5044293c10a7c67e | /Exercícios/ex070.py | 22f02515eb2383c15372d84c0dd983ca160187ea | [
"MIT"
] | permissive | JosevanyAmaral/Exercicios-de-Python-Resolvidos | 0c4dbbd12ec4593a6a82d7aeed64a3ef4e0fbccd | 210e02ed05831a09d5445eab53cd907a09aaa280 | refs/heads/main | 2023-02-07T15:41:24.796702 | 2020-12-31T14:09:53 | 2020-12-31T14:09:53 | 324,603,260 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 985 | py | total_Gasto = maisde_1000 = mais_Barato = 0
nome_Maisbarato = ''
print('-' * 40)
print(f'{"CANTINA DO MAMADÚ":^40}')
print('-' * 40)
while True:
nome_Produto = str(input('Nome do Produto: ')).strip().title()
preco = float(input('Preço: R$'))
total_Gasto += preco
if preco > 1000:
maisde_1000 += 1... | [
"Josevanyamaral2004@gmail.com"
] | Josevanyamaral2004@gmail.com |
048eba3f5a345d7e9ba5b8e6f5fdc89be6c17887 | a70ace742de7423def0cd5d63499d2c9242ef8fb | /train.py | 021d2db4a5acb8a1aab8dd33e37d8345b949b38f | [
"Apache-2.0"
] | permissive | xzhcn6/ssd.sixray | 0d40f915372023bcc50fc1b473a069cb12d28069 | 3489f9fc82b26da595e89341fcb4dae6e49f28c6 | refs/heads/master | 2022-04-01T18:21:21.492127 | 2019-12-19T11:09:09 | 2019-12-19T11:09:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,541 | py | from data import *
from utils.augmentations import SSDAugmentation
from layers.modules import MultiBoxLoss
from ssd import build_ssd
import os
import sys
import time
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.optim as optim
import torch.backends.cudnn as cudnn
import torch.nn.i... | [
"xzhcn6@outlook.com"
] | xzhcn6@outlook.com |
5f396843aabd5f593d41833f8b56ec6ec6a8d0ed | 564ac4e3bfe951ecf66f77ae690739e13de5163a | /blog/admin.py | 21a3b32b59313519dc19181dbcb0975830c82ed9 | [] | no_license | ThxPatox/server | db0dbd0c0537fad9394990b3216ed7c6ab1f6bd5 | cce258716c51f060733c3e9c537b85077896f9fc | refs/heads/master | 2020-04-08T22:02:04.562919 | 2018-11-30T07:42:11 | 2018-11-30T07:42:11 | 159,768,608 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 89 | py | from django.contrib import admin
from .models import PERRO
admin.site.register(PERRO) | [
"patricio.adres.def@gmail.com"
] | patricio.adres.def@gmail.com |
b1800d49cbe141e1369fc7abcb03a19475c6629d | 263ec1a7eab575adbaa0b0d21ba910d545e67c98 | /MODUL_2/NO_004.py | fa5cbbc9b37be8422464f18c46743931a85bd03f | [] | no_license | L200180023/praktikum-ASD | 9ee9a25bff9b54247765837b065acfc5218a90df | 4e93409323093d1a187f86114b795e09c472ddd9 | refs/heads/master | 2021-02-04T14:44:28.867976 | 2020-07-18T02:50:24 | 2020-07-18T02:50:24 | 243,676,744 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,430 | py | print("saya baru saja latihan",k)
self.keadaan = 'lapar'
def mengalikandengandua(self,n):
return n*2
class Mahasiswa(Manusia):
"""class mahasiswa yang dibangun dari kelas manusia"""
matkul=[]
def __init__(self,nama,NIM,kota,us):
"""metode inisiasi ini menutupi... | [
"noreply@github.com"
] | noreply@github.com |
07a63835fd728056fd721d6f4167b08a8e734cbd | 2e175a3722755ed028046f43a66959da94d28dbe | /aligned_reid/model/ResneXt_copy.py | 834613e334cfc096e3bf9f227b817ceda19666a5 | [] | no_license | Eric-Zhang1990/AlignedReID-Re-Production-Pytorch | 088ee9af0782505a7ac257575d8867e6a8ced90d | df878e84f3251a12ea88dfb30ac1fe8678cfdf2e | refs/heads/master | 2020-03-23T11:58:05.967346 | 2018-08-08T02:16:15 | 2018-08-08T02:16:15 | 141,528,945 | 0 | 0 | null | 2018-07-19T05:34:02 | 2018-07-19T05:34:02 | null | UTF-8 | Python | false | false | 5,098 | py | import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
import math
import torch
class ResNeXtBottleneck(nn.Module):
expansion = 4
"""
RexNeXt bottleneck type C (https://github.com/facebookresearch/ResNeXt/blob/master/models/resnext.lua)
"""
def __init__(self, inplanes, planes, cardin... | [
"zhang_shifeng1990@163.com"
] | zhang_shifeng1990@163.com |
ab63e8021e45f2d9401d5a37c64310a3ceba43d1 | e7f8ae8f23cdfefd65d32eea481aaafe2e824ab0 | /train_network.py | 3e0e0fa16a2026e657903afc35c6ce3417bbf1ba | [] | no_license | adampicwell/digit-classification | 0ee18a02d9a44299ac749fce6e7f82675f245b19 | 69f8d1328f8dffde1d3563c0c14cbe958050f498 | refs/heads/master | 2020-03-10T13:28:23.339132 | 2018-05-23T17:24:19 | 2018-05-23T17:24:19 | 129,401,058 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 398 | py | from network import Network, predict_from_output
from helpers import load_training_data, convert_to_xy
import numpy as np
img, lbl = load_training_data()
X, Y = convert_to_xy(img, lbl)
X_train, Y_train, X_test, Y_test = create_train_set(X, Y)
learning_rate = 0.003
layer_dims = [X.shape[0], 30, 20, Y.shape[0]]
net = N... | [
"adam@picwell.com"
] | adam@picwell.com |
7fbf97b1503386b6939f46cfda12993249f306aa | 3a93a50bf80668a6ede701534f1567c3653729b0 | /Sept_challenge/arithemetic_slice_II.py | 5d4391eb891b132eaff46dae5987441400c9534b | [] | no_license | Tadele01/Competitive-Programming | c16778298b6c1b4c0b579aedd1b5f0d4106aceeb | 125de2b4e23f78d2e9f0a8fde90463bed0aed70f | refs/heads/master | 2023-09-01T06:00:09.068940 | 2021-09-13T18:04:30 | 2021-09-13T18:04:30 | 325,728,258 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | from typing import List
from collections import defaultdict
class Solution:
def numberOfArithmeticSlices(self, nums: List[int]) -> int:
subsequence = 0
cache = [defaultdict(int) for _ in nums]
for i in range(len(nums)):
for j in range(i):
diff = nums[i] - nums[j... | [
"tadeleyednkachw@gmail.com"
] | tadeleyednkachw@gmail.com |
5ea516859557ee0128ed78efa85d06748621daf9 | defde8f15da2d6f631444c9545878adbaf0651b3 | /yl2695/questions/question1.py | 7c294ba0e6a806446b3f389bb154cf6870ad55b2 | [] | no_license | ky822/assignment7 | c1be90bf04a55d7938117ef8dd01177db0844f06 | aec803b8593fb9e8dae057539c79026d5f658edc | refs/heads/master | 2021-01-09T20:54:45.874537 | 2014-11-06T00:14:56 | 2014-11-06T00:14:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,356 | py |
import numpy as np
def question1():
'''
Create a 2-D array and do a series of operations on it.
'''
print 'This is question1:'
print
# Generate the original array.
array = []
for i in range(5):
new = filter((lambda x: (x % 5) == (i + 1) % 5), range(1, 16))
array.appen... | [
"yl2695@nyu.edu"
] | yl2695@nyu.edu |
11daa0fb424a109296242741c22c98986f6dd6bc | 1c210851a02e99f1c7f12ee7b8a9ed1c6e78e9e3 | /dUCB4/ducb4.py | 5f17ed8ef66ba142030de4b39d9b27a6df499a99 | [] | no_license | siddhantttt/multiplayer-mab | 7d7309880d6e3b441a0c94a8a146fa670b8e80b0 | af4b5071c504a5cb5b5e96d7b7e81608e48af1c8 | refs/heads/master | 2020-05-17T04:14:30.967741 | 2019-04-25T20:18:20 | 2019-04-25T20:18:20 | 183,503,177 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,268 | py | from math import log2,modf,sqrt
import random
import dbm_with_escaling
import dbm
import time
import numpy as np
n=1
#number of users
M=5
#number of arms
N=5
#Total time horizon
T=100000
t = 0
#index
g=[[0 for i in range(N)] for j in range(M)] #size M X N
#playingPairCount[j][i] is the nu... | [
"siddhantnagpal03@gmail.com"
] | siddhantnagpal03@gmail.com |
9c7c5503d6820c8d892b7ba12c79c4c53e2b1abc | 91f4078045a57eaaafe0b172909d7041e829941c | /arjuna-samples/arjex/test/pkg/app_class/check_02_app_model.py | 66bdc8398d1a691c081dc86f4420c25017d30f6c | [
"Apache-2.0"
] | permissive | amiablea2/arjuna | 0d06d1dfb34309f4b6f39b17298f7acb6c3c48c9 | af74e0882216881ceca0a10f26442165ffc43287 | refs/heads/master | 2023-08-21T20:04:30.416303 | 2021-10-27T06:41:40 | 2021-10-27T06:41:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 978 | py | # This file is a part of Arjuna
# Copyright 2015-2021 Rahul Verma
# Website: www.RahulVerma.net
# 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... | [
"rahulverma81@gmail.com"
] | rahulverma81@gmail.com |
031834471e28bacff187b2572b0a054496860295 | 040522fc2892a4490f93b20ac484a88e6053c932 | /apps/trade/migrations/0002_auto_20200417_1748.py | bc0ce2fe06d43934f6d1081c2789b6c25a5a1974 | [] | no_license | Skylor-Tang/django_rest_farmework_project | 7c20fceca4d3e4c1bb286571cda6cd52487c58c4 | 3f0f18036df34f055d92f5b56c8c08cbb47fff0c | refs/heads/master | 2022-12-16T14:05:27.888209 | 2020-08-26T12:15:38 | 2020-08-26T12:15:38 | 255,602,808 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,496 | py | # Generated by Django 2.2 on 2020-04-17 17:48
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('goods'... | [
"739230854@qq.com"
] | 739230854@qq.com |
f18b4114bcebaa049d73cd21543bccee1454dd73 | 7ca826c4be7491fcb19d952c78bbb0d290bc3959 | /views.py | ec90614c3ccf37a1a5d15da22140061bde1ce41b | [] | no_license | Artromterra/redis | a2d3e6b25b059f6541abf9772014540a70ef8d59 | 5e378e81b97ec4bd28a429714bc0071fad6e0d9e | refs/heads/master | 2021-05-18T00:56:42.024276 | 2020-03-28T22:17:06 | 2020-03-28T22:17:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,197 | py | import pickle
import redis
import json
client = redis.Redis(host='redis', port=6379)
cache = {0: 0, 1: 1}
def fibo(n):
if n in cache:
return cache[n]
else:
f = fibo(n-1) + fibo(n-2)
cache[n] = f
return f
def foo(number):
if number > 60000:
return 'Больше 60000 не... | [
"56137646+dfpetrov@users.noreply.github.com"
] | 56137646+dfpetrov@users.noreply.github.com |
9e832794ae0303e1478a60e5fc14f9b3d1493dc4 | d720edd9ff999521403004b1a6c5d6075ca0f9ef | /tasks/youglish/youglish.py | 370f916295dadd27c6b3743b8ab1d4aaa30f2cd4 | [] | no_license | caijinhai/crawl-demo | e43b5a7cc3fbe2d5b9034c0417b9409cedb38329 | 17ff2393b3f499ece9c60dffb7f04d87ccafd7c0 | refs/heads/master | 2021-02-12T08:10:07.852482 | 2020-09-23T03:53:08 | 2020-09-23T03:53:08 | 244,576,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,370 | py | import requests
import time
import json
import os
import xlrd
import urllib.request, http.cookiejar
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
# driver = webdriver.Chrome(ChromeDriverManager().install())
# 使用已打开的浏览器窗口
c... | [
"cjh123honey@gmail.com"
] | cjh123honey@gmail.com |
3bde8438472ef3cd5ac51c05f8a64bb7e57cd319 | 0be7f77a2a5ae32c1b88a7ce32b33c3d3d58412a | /printData.py | 93dbd52d7f84c39179985507d5e4028f7864c30c | [] | no_license | square1307/another_TWCLI_py_again | d280cb93de0df0fb0ca5ac2722b4d1187457fb16 | 7a8eec2bed6801c8aa10bbd78d6065e83f512997 | refs/heads/master | 2020-09-09T22:28:54.353230 | 2019-11-14T01:46:03 | 2019-11-14T01:54:37 | 221,586,221 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 516 | py |
def printTimelines(jsonTimelines):
for objTweet in jsonTimelines:
print(objTweet['user']['name']+":")
print(objTweet['text'])
print("Tweet at:{}".format(objTweet['created_at']))
print("=============================================")
def printUsers(jsonUserData):
for objUser in jsonUserData:
print("{... | [
"square1307@gmail.com"
] | square1307@gmail.com |
192afb53c8b8a277230d03f01de21883ccea8c4c | 861b280938e0369fb40531f8c67ef181c419fce5 | /pyfuntofem/funtofem_nlbgs_aerothermal_driver.py | a081387394c718dc20d81a59739fa9d27838fa25 | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | AOE-khkhan/funtofem | ea2472dc37a0ce0238f48d08dacfaad08b814321 | 332c9fcc90f2b2763b54b9b35f40527de3534a08 | refs/heads/master | 2023-03-24T01:11:28.824539 | 2021-02-26T16:22:27 | 2021-02-26T16:22:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,092 | py | #!/usr/bin/env python
"""
This file is part of the package FUNtoFEM for coupled aeroelastic simulation
and design optimization.
Copyright (C) 2015 Georgia Tech Research Corporation.
Additional copyright (C) 2015 Kevin Jacobson, Jan Kiviaho and Graeme Kennedy.
All rights reserved.
FUNtoFEM is licensed under the Apache... | [
"lhalim6@gatech.edu"
] | lhalim6@gatech.edu |
b76f9f37dcbaaa33ef729114afb089aeff729984 | bb8a4c794740a3aae979abf15cb7dec92e141179 | /patient/admin.py | 9d2fd710ae5cfdd309fa99921a9a52ac247bcc55 | [] | no_license | Xinghan/loveandhelpserver | 6c5347e0d34a37ad618bade0cb5ffe7a111ab11f | bc34ab6d61a7ebdfa9eca0bbc132d0e31f39b438 | refs/heads/master | 2021-01-25T12:13:25.358356 | 2015-06-04T05:25:55 | 2015-06-04T05:29:13 | 34,239,512 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 91 | py | from django.contrib import admin
from . import models
admin.site.register(models.Patient)
| [
"xinghan.cui@gmail.com"
] | xinghan.cui@gmail.com |
881f41eaac681509ceedf52e9c86ba2f216030b8 | af41234fd6f497c2a9e47cf598a9fb5f9250cda9 | /Chapter_14_CollaborativeFiltering/item_based_recommend.py | 940fc52d097c01512f31c02873ad8635aa13f259 | [] | no_license | RuoBingCoder/Python-Machine-Learning-Algorithm | d27e3231d48db2fb9a1f25f8b6db625abd2871d3 | 9ad83db7261f2523f0e3eeeeed7adad2b7c013ef | refs/heads/master | 2021-08-31T16:30:25.676221 | 2017-12-22T02:51:01 | 2017-12-22T02:51:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,414 | py | # coding:UTF-8
'''
Date:20160928
@author: zhaozhiyong
'''
import numpy as np
from Chapter_14_CollaborativeFiltering.user_based_recommend import load_data, similarity
def item_based_recommend(data, w, user):
'''基于商品相似度为用户user推荐商品
input: data(mat):商品用户矩阵
w(mat):商品与商品之间的相似性
user(int):用户的... | [
"clawpo@foxmail.com"
] | clawpo@foxmail.com |
ac9904a84f7994769b41fbccddf0d7a7a2b87223 | 2fa25e3f098f631fbbda9eacf9ab701e70c7d24a | /setup.py | 245578f34733aebf99e59cd9bd282ba540ca931b | [
"BSD-3-Clause",
"Python-2.0"
] | permissive | chdemko/pandoc-latex-unlisted | bb9e48d3af0ba570674562c3ddf61b803e5cdc31 | 3f96490ab6b78c248bdb5e9127b7b525c2c03f98 | refs/heads/master | 2021-05-14T11:14:33.665148 | 2021-02-24T10:27:56 | 2021-02-24T10:27:56 | 116,375,904 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,906 | py | """A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/chdemko/pandoc-latex-unlisted
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path, make... | [
"chdemko@gmail.com"
] | chdemko@gmail.com |
8e0dfc5890ad2e90c4a0d14bbcf0a9896580df08 | ca115c9e0e4647b2730600389704f258e1a2fabe | /Mode/demo/spaces/Sales/Salesforce Dashboard.f9edab2f5d11/notebook/cell-number-2.b0c50231f18a.py | 47b820db8032eb63070802c1a4e5ab758d97591f | [] | no_license | demo-mode/demo-github-sync | 9a45b3b8919b075da80dc8bf8de27899a0045bc5 | 0f646bcdc061fb5a5638edbcd34e8190673b0dcc | refs/heads/master | 2023-09-01T18:33:13.954331 | 2023-08-23T16:30:38 | 2023-08-23T16:30:38 | 151,139,007 | 1 | 4 | null | 2022-04-13T20:55:08 | 2018-10-01T18:35:31 | HTML | UTF-8 | Python | false | false | 155 | py | import matplotlib.pyplot as plt
import numpy as np
daily = datasets[8]
day = pd.to_datetime(daily['day'])
orders = daily['orders']
plt.plot(day, orders) | [
"roberto@modeanalytics.com"
] | roberto@modeanalytics.com |
eca296da9ccd2f7a4e7c8eac7f1d9bb5f94c62e2 | cd648b2637e1beb927efe7b7c116bf8cddd6f11a | /01_CartPole-reinforcement-learning/Cartpole_DQN_torch.py | 33bc816365144d6f49bf087adec15889b8722935 | [] | no_license | alfrentgen/ReinforcementLearning | 5c84928d33413b808ea878699c34162047cfa8de | daaf5f61055e2c336cb6fb374a28d980f4854293 | refs/heads/master | 2023-03-15T09:37:07.394565 | 2021-03-24T17:14:45 | 2021-03-24T17:14:45 | 327,903,304 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,842 | py | # Tutorial by www.pylessons.com implementation for pytorch
import random
import gym
import numpy as np
from collections import deque
from torch import nn, optim, zeros, from_numpy, amax, argmax
from torch import load as load_model
from torch import save as save_model
#from sys import exit
def getModel(input_shape, ac... | [
"alf@alf.alf"
] | alf@alf.alf |
c25560cf0a8b4a99a980693881f8c79cc1267f95 | 79b71cdb289df2fa0ba21a515466956cbb7fac0d | /datasets/DatasetLoaderRGB_DCT.py | 0326c6f3f1e1fd00d294af212302325495a95726 | [] | no_license | jason90330/metaLeft | 04e4c87cbe243327a1bda023f35d5d2bc906e173 | 1db149b4db18e0d83aaa14797cf12de31b60e431 | refs/heads/main | 2023-03-30T17:44:52.719214 | 2021-04-07T05:42:07 | 2021-04-07T05:42:07 | 347,303,633 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,070 | py | import os
import dct
import torch
from torchvision import transforms, utils
from torch.utils.data import Dataset, DataLoader
# import matplotlib.pyplot as plt
from imutils import paths
from PIL import Image
from misc import utils
from pdb import set_trace as st
'''
class freq_domain():
def __call__(self, input):
... | [
"jason90330@yahoo.com.tw"
] | jason90330@yahoo.com.tw |
57efe0e04b0ba663ac682d4eb78efafa356b0bc2 | c27d09387e7a1d6770fac224c3ac16cdf06e3ac1 | /ex1.py | e40727d11b8f7d2ae6c7210d373e2991489179d0 | [] | no_license | iboelsakka/learning_python_the_hard_way | 389a2f657be1c34619705dd8e869f22fe56be68c | a202549eb289c020a8325fad6a54d79a13af2023 | refs/heads/master | 2021-06-14T07:35:31.888917 | 2017-05-04T19:27:45 | 2017-05-04T19:27:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 287 | py | # Created by Ibrahim Elsakka on 4/7/2017
print "Hello World!"
# print "Hello Again"
# print "I like typing this."
# print "This is fun."
# print 'Yay! Printing.'
# print "I'd much rather you 'not'."
# print 'I "said" do not touch this.'
# print ""
# print "I just printed a blank line"
| [
"ibrahim.elsakka@gmail.com"
] | ibrahim.elsakka@gmail.com |
78de110bc6f7197013aaaea4ee9a1707f78e3281 | 6b038fa1b33baac1159b3ce49175a74171646d2d | /models/hr_employee.py | 9655e6197f0fc37c78c39fc21529b9e1ca7d385e | [] | no_license | shahnoorbaga/bista_training | 8d1756def128be0715211402f6947df1646a58ec | 8553a2ae0a49a8c5d652d6807391eb761b578602 | refs/heads/main | 2023-02-24T17:56:18.560439 | 2021-02-04T06:05:08 | 2021-02-04T06:05:08 | 315,559,445 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 183 | py |
from odoo import api, fields, models
class HrEmployeePrivate(models.Model):
_name = "hr.employee"
_inherit = ['hr.employee']
is_trained = fields.Boolean('is trained') | [
"shahnoor.baga@gmail.com"
] | shahnoor.baga@gmail.com |
34dff387c422a3a3d82393f6c225e74efea452d5 | dea51891c173a777028c5ebaad2ebcf729cb95d1 | /document_management/core/utils.py | 7fac926b99fffba374b1aedf31677e34fcfd2b2d | [] | no_license | rinditriandi/document_management | cd9f4819421a3b6c3951229338fc6c63535887b7 | 42ddfd3dc82284e6c1cb1425b238178c18b4c309 | refs/heads/master | 2022-12-07T07:55:40.672166 | 2020-02-26T15:09:07 | 2020-02-26T15:09:07 | 184,234,567 | 0 | 0 | null | 2019-07-18T00:36:40 | 2019-04-30T09:37:48 | null | UTF-8 | Python | false | false | 1,745 | py | import os
import datetime
from django.template.defaultfilters import slugify
from django.utils import timezone
from django.utils.deconstruct import deconstructible
@deconstructible
class FilenameGenerator(object):
"""
Utility class to handle generation of file upload path
"""
def __init__(self, prefi... | [
"nicholovsimon@gmail.com"
] | nicholovsimon@gmail.com |
4ed834b99d37a0e7b96af9190ba32c0544ba629a | 27c3517ad80264db5d4a4ef966af528fbe87eda9 | /src/analysis_tools/call_rampage_peaks.py | 6a7b5df9cfb83e1ae2918410359040c36c0fff17 | [] | no_license | nboley/rampage_pipeline | e5cf960a949e6ca2428fd49df4c6eb29b983e05e | 2cccc977d774c39d5617c7aa984fdb871f8cb3cd | refs/heads/master | 2021-01-02T09:32:23.626404 | 2015-10-22T22:19:16 | 2015-10-22T22:19:16 | 26,610,678 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,218 | py | #!/usr/bin/env python3
import os, sys, time
import requests, json
from itertools import chain
from collections import defaultdict
import re
from multiprocessing import Value
NTHREADS = 32
MATCH_LAB = True
INDEX_DIR = "/srv/scratch/nboley/RAMPAGE_human/STAR_indexes/STAR_2.4.1b.GRCh38_PhiX_ERCCv2/"
ANNOTATION_GTF... | [
"npboley@gmail.com"
] | npboley@gmail.com |
8dbeb21e45db293b1eed3a4d259d0a7190aadd1e | 46e6b58d52aad982ac49e8b4b1e72cc19d5855e7 | /venv/Lib/encodings/gb2312.py | 9e002e015138f7d2e656d95a22e0deba0a85c73b | [] | no_license | Josquin95/Triqui | 76584d2801d49546c79422b4635bff5d251b77c9 | 82e3ac1b0e053993d76e3d7aea88204799540e05 | refs/heads/master | 2023-07-21T09:38:49.037207 | 2023-07-17T21:42:29 | 2023-07-17T21:42:29 | 113,802,751 | 0 | 1 | null | 2022-10-07T04:32:38 | 2017-12-11T02:27:58 | Python | UTF-8 | Python | false | false | 1,039 | py | #
# gb2312.py: Python Unicode Codec for GB2312
#
# Written by Hye-Shik Chang <perky@FreeBSD.org>
#
import _codecs_cn
import _multibytecodec as mbc
import codecs
codec = _codecs_cn.getcodec('gb2312')
class Codec(codecs.Codec):
encode = codec.encode
decode = codec.decode
class IncrementalEncoder(mbc.Multiby... | [
"jose.osorio1@correo.icesi.edu.co"
] | jose.osorio1@correo.icesi.edu.co |
743d2c165c4bd1035af862eb7e8f8aa10942a0bb | 54bd5a131a8218004d63f17e21a4b68536ac119f | /classification_rotate.py | ea8c0fa821aea27a21938e0d37c4f3e71d0aca74 | [] | no_license | dyf0631/AAE_FOR_KG | 162bb4f4883bee2e85380742ae2ca5abaa9ccb84 | 2f831018b3cf36971b3d30b7dc2520a0e33a201e | refs/heads/master | 2022-09-08T15:02:01.851330 | 2020-06-02T01:43:50 | 2020-06-02T01:43:50 | 268,627,138 | 5 | 3 | null | null | null | null | UTF-8 | Python | false | false | 3,142 | py | from classification_Deepddi import Tester
from dataset import Dataset
import argparse
import time
def get_parameter():
parser = argparse.ArgumentParser()
parser.add_argument('-ne', default=100, type=int, help="number of epochs")
parser.add_argument('-lr', default=0.1, type=float, help="learning rate")
p... | [
"daiyuanfly@gamil.com"
] | daiyuanfly@gamil.com |
6a0133b60e39092bb9168e79b34e7f97ef908275 | ff738b3ec7e5c8c414f6d3c7d74310d8fab69368 | /Mock/Interview5/solution1.py | 63117bb3138185ef7bcaea918ed9a22c4e801a57 | [] | no_license | jw3329/leetcode-problem-solving | a0684ef13bd60e81bd54b91e1b54827aaac9bf16 | 0cc7ad64891a23e348c8214f806a2820ac8c9e0a | refs/heads/main | 2023-08-17T20:36:51.624415 | 2023-08-17T07:09:56 | 2023-08-17T07:09:56 | 170,944,191 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
n = len(nums)
for i in range(n):
for j in range(i+1,n):
if nums[i] + nums[j] == target:
return [i,j]
| [
"junwon3329@gmail.com"
] | junwon3329@gmail.com |
2c9791af0ab83167e99f034371e3b1d0fabe5410 | b4bb72953c2c7fd68231d7579927da20288df6dc | /other/best_model_tests/Scripts/graph_deltas_histogram.py | 13f6781d0bb7541f81d0b6dd377c063555396f90 | [] | no_license | JimBell/deepMirCut | e050a4092557ae217658c845abb049244b583fc5 | ddfde1fac89022f9312f65fa8628b44ff63a2a81 | refs/heads/master | 2023-04-10T19:41:00.412057 | 2021-04-22T17:58:02 | 2021-04-22T17:58:02 | 206,287,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,650 | py | import sys, os
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from seqeval.metrics import precision_score, recall_score, f1_score, classification_report
import statistics
import functools
import matplotlib.font_manager as fm
font_dirs = ['/... | [
"jimmybell82@gmail.com"
] | jimmybell82@gmail.com |
33f755fbefd4ab1120c6872800904540b86e853a | 43b1320c21bfdb20c198ee9ed81131b169a64106 | /pairs_generator_csv.py | 00762fb308d8c697d6200ff32493b98bd48d6a4a | [
"MIT"
] | permissive | KasparasKralikas/BERT-Duplicate-Bug-Report-Detection | 0a6f6662e308ead40873818ac12b8c171a1e08d9 | e18706a92cc66df1eeb04842c4419c55c7729c77 | refs/heads/main | 2023-05-06T11:18:17.099263 | 2021-05-27T05:54:56 | 2021-05-27T05:54:56 | 351,505,959 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,741 | py | import json, random, numpy as np, pandas as pd
ISSUES_FILE = 'ooall.csv'
GENERATED_PAIRS_FILE = 'ooall_pairs_40000.csv'
PAIRS_COUNT = 40000
DUPLICATE_PAIRS_RATIO = 0.5
# What part of the original issues pool to use for pairs generation
PART_TO_USE_FOR_GENERATION = 0.9
def main():
issues = get_issues(ISSUES_FILE)
... | [
"kasparaskralikas@gmail.com"
] | kasparaskralikas@gmail.com |
94ed977992a98b9a925f1090729b26f274a7eb7f | 44c2f66912f66d80a0b0ccbe2e286d5ab1ad422b | /uvalibroomcount_api/roomcounter/models/sensor_result_model.py | 799e1f599c4603c36f39000175f76e4007f37972 | [] | no_license | scholarslab/uvalibroomcount_api | 12d2dee7eb123fb174db732313e9238031ad3288 | d3d043e11d9e679204c8d3c401d77082019f285c | refs/heads/master | 2021-08-23T11:39:48.813295 | 2017-12-04T18:58:52 | 2017-12-04T18:58:52 | 110,748,333 | 0 | 0 | null | 2017-12-04T18:58:53 | 2017-11-14T21:43:49 | Python | UTF-8 | Python | false | false | 754 | py | from django.db import models
from . import sensor_model
class SensorResult(models.Model):
''' The Sensor Result class is a model that defines which data is available in the Sensor Result table.
'''
date_recorded = models.DateTimeField(auto_now_add=True)
sensor = models.ForeignKey(sensor_model.Sensor, ... | [
"zgleblanc@gmail.com"
] | zgleblanc@gmail.com |
aab170776fd444d8dd9cb1674d07dc237082b942 | 09c6d0987280dd0dcdb03cf700d2d76487ac91e8 | /app/main/migrations/0001_initial.py | f3f8f0f6b31da292106ddc7b1745812a7c2a0848 | [] | no_license | daniellyatuu/cloud_storage | d0e69b9ee14020ec8b2ee5e5f8126121451ad130 | a30c20261242096964ec676428f1500a2baf86e4 | refs/heads/master | 2022-12-18T18:04:21.798109 | 2020-09-30T13:30:28 | 2020-09-30T13:30:28 | 299,904,073 | 0 | 0 | null | 2020-09-30T13:30:29 | 2020-09-30T11:59:12 | Python | UTF-8 | Python | false | false | 717 | py | # Generated by Django 3.0.7 on 2020-09-30 12:59
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Customer',
fields=[
('id', models.AutoField... | [
"daniellyatuu@gmail.com"
] | daniellyatuu@gmail.com |
11863bd4b7bd6508d883062cf7745a2b9b246727 | 94a3dcbb71ab019794de0775c4de3dd363e77a99 | /interview-cake-all/apple_stocks.py | b9465248f0b018cf5cdddd71677d39c81511589a | [] | no_license | coreyarch1234/leetcode-problems | 89603a25aa115496ab0613f7da43addb768a3733 | eb9594b26e78a7a0af8cbef59970626dba47ec21 | refs/heads/master | 2021-05-14T07:34:50.055651 | 2018-04-03T19:39:24 | 2018-04-03T19:39:24 | 116,268,314 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,385 | py | # Writing programming interview questions hasn't made me rich. Maybe trading Apple stocks will.
#
# Suppose we could access yesterday's stock prices as a list, where:
#
# The indices are the time in minutes past trade opening time, which was 9:30am local time.
# The values are the price in dollars of Apple stock at tha... | [
"harrilal@mit.edu"
] | harrilal@mit.edu |
677da4b419273dd5a0c14a32c94015dd6bb3ad6b | 10c6f6801ff50e7456ef7dacc57e6c019cbe5311 | /vendor/pipstrip | 67cd04941aefc0845693decab4a56cce0f59c29f | [
"MIT"
] | permissive | 2pax-hq/heroku-buildpack-python | 6d66f9cc48e80276e65c00bf95d486ff24f5be48 | 4669a838e7a56a369f97c4ba1c65426774d93d96 | refs/heads/master | 2021-06-15T18:33:20.806751 | 2017-03-14T12:52:01 | 2017-03-14T12:52:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 245 | #!/usr/bin/env python
import sys
req_file = sys.argv[1]
lines = []
with open(req_file, 'r') as f:
r = f.readlines()
for l in r:
lines.append(l.split('--hash')[0])
with open(req_file, 'w') as f:
f.write('\n'.join(lines))
| [
"me@kennethreitz.org"
] | me@kennethreitz.org | |
2fa7b7a557dddd216f0f97f3589b97950895112a | b1d90fa399c2f4cb1f5eba0846d60d72044fc4b9 | /wASmaster/configure_was/myfunctions.py | 2496563a0785098237b8076ab09bc5d207c31a5a | [] | no_license | igmatovina/webSphere-automatization | a497b0ec70b1bee833082c58410ed4409e1ae84b | c4ec7fdba9d57ce176b7186dfd6697c95ebd6214 | refs/heads/main | 2023-01-02T00:34:02.523424 | 2020-10-19T11:10:29 | 2020-10-19T11:10:29 | 305,355,822 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,952 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
AdminConfig = sys._getframe(1).f_locals['AdminConfig']
AdminApp = sys._getframe(1).f_locals['AdminApp']
AdminControl = sys._getframe(1).f_locals['AdminControl']
AdminTask = sys._getframe(1).f_locals['AdminTask']
Help = sys._getframe(1).f_locals['Help']
def getScope... | [
"noreply@github.com"
] | noreply@github.com |
5f9d2c298007f1dde078c574cdceea69ba7321a1 | 1f3e6db6e3ba7032c9871164786cba0a9112ee91 | /EX42/main.py | e87e59ae2cee49c7b8fcc198518f5886eb9801b5 | [] | no_license | alicia6174/EX-FOR-PY | f17e23e31ec37027c6bc1503c9ffcc3d18508216 | afba69e4cc017bfae6a2b708b23d9bafc4e95bb2 | refs/heads/master | 2020-05-29T08:54:36.204271 | 2016-11-05T15:53:10 | 2016-11-05T15:53:10 | 69,107,139 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 840 | py | #!/usr/bin/python
f = open('data', 'r')
Data = f.readlines()
fs = lambda string: string[0:len(string)-1].split(',')
Data = map(fs, Data)
class MyClass(object):
def __init__(self, a, b, c):
self.Last = a
self.First = b
self.Salary = c
headers = ['Last', 'First', 'Salary']
items = []
for i ... | [
"yhguan8128@gmail.com"
] | yhguan8128@gmail.com |
800a1d85313f35b73a634b10abe2013d2631bc1b | ce5be4f0b16d08296114da4a3c327d4adb0ec8bc | /topsis_in_python.py | b555f896f0c15ed2cd819e5f2e1d94bb8dd105b1 | [] | no_license | gur01052000/git | 1a7382b6fecb307ea86973a2b71495a362bcbb5b | 48f16ebd23c24156f371a255b04cde79e237203f | refs/heads/master | 2020-04-21T22:11:56.805888 | 2020-01-20T17:03:48 | 2020-01-20T17:03:48 | 169,903,096 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,584 | py | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 18 02:12:58 2020
"""
import numpy as np
import math
def topsis(matrix,weight,feat):
b=[]
for i in range(n):
sum=0
for j in range(m):
sum=sum+matrix[j][i]**2
b.append(math.sqrt(sum))
for i ... | [
"noreply@github.com"
] | noreply@github.com |
3a6dca8992ab5cc806956e4513c10943419020d0 | d45cbb9aa98871851efeebf5f39498534c9125a5 | /supar/models/constituency.py | 38f92d4cceb2d8d625432379412c00c47351464b | [
"MIT"
] | permissive | ashim95/parser | c307e7178128031deb8fbaa08db6410a94e30bf4 | 61e9cd6bf16dcf1aa2b9d51b3a6c04ed048b3199 | refs/heads/main | 2023-02-06T02:36:48.404534 | 2021-01-01T20:05:49 | 2021-01-01T20:05:49 | 324,896,816 | 0 | 0 | MIT | 2020-12-28T02:53:43 | 2020-12-28T02:53:42 | null | UTF-8 | Python | false | false | 10,859 | py | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
from supar.modules import LSTM, MLP, BertEmbedding, Biaffine, CharLSTM
from supar.modules.dropout import IndependentDropout, SharedDropout
from supar.modules.treecrf import CRFConstituency
from supar.utils import Config
from supar.utils.alg import cky
from tor... | [
"yzhang.cs@outlook.com"
] | yzhang.cs@outlook.com |
ad2c845c72862321f1bca7ffd9b3e11f281c32ac | a1a016447475200323062478b8d555e830f7bb54 | /config.py | b6766c00384694ac78d033ddcc736cb7c7fbe369 | [] | no_license | Gouwal/Py104-Weathers | af7eac72cdc7aa7b90c9acecf8a6fc216cb38a31 | 8b21cb0132e6704418a5ea28989b917a966abd2f | refs/heads/master | 2021-07-16T11:10:22.203828 | 2017-10-22T07:51:36 | 2017-10-22T07:51:36 | 106,160,311 | 0 | 0 | null | 2017-10-16T12:07:44 | 2017-10-08T08:15:06 | Python | UTF-8 | Python | false | false | 494 | py | # config.py
class Config(object):
"""
Common configurations
"""
WTF_CSRF_ENABLED = True
# Put any configurations here that are common across all environments
class DevelopmentConfig(Config):
"""
Development configurations
"""
DEBUG = True
SQLALCHEMY_ECHO = True
class Producti... | [
"Neil_zhang@126.com"
] | Neil_zhang@126.com |
b1a3c8cc07fae71c627558f8887507229a139da5 | 1add595fa4a4b2ebd42e4447310a1b389f88d9fe | /aiohttp_cache/setup.py | 1e9a3bcf79880be8bf5bf2d1b016be470047d511 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | baldur/aiohttp-cache | 95a57fd71feddb3fa0423c88318ed7c2a828b3a3 | dc20cb7fb291e2eb755de1e70f356631cc0b16ac | refs/heads/master | 2020-06-18T19:18:12.889982 | 2019-07-11T15:00:24 | 2019-07-11T15:00:24 | 196,415,749 | 0 | 0 | NOASSERTION | 2019-07-11T14:59:01 | 2019-07-11T14:59:00 | null | UTF-8 | Python | false | false | 1,033 | py | import logging
from aiohttp import web
from .backends import *
from .middleware import *
from .exceptions import *
log = logging.getLogger("aiohttp")
def setup_cache(app: web.Application,
cache_type: str = "memory",
backend_config=None):
app.middlewares.append(cache_middleware)
... | [
"cr0hn@cr0hn.com"
] | cr0hn@cr0hn.com |
6a0e6ca5460c14393eabb83dbed4443e75781e2b | c906013191a3e4d773800c44f94bc06ed25954d7 | /users/views.py | 76c9f4da56999eb1597edeb0703a6eae656158a7 | [] | no_license | kobayaba/journal | 12f326c308523c121cfec078d0d8cfd1885b2a0c | 83844f3a2726674e77aaedfae0ded363557bda1b | refs/heads/master | 2023-02-02T03:47:24.539488 | 2020-12-17T18:12:34 | 2020-12-17T18:12:34 | 321,181,232 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 295 | py | from django.shortcuts import render
from django.urls import reverse_lazy
from django.views.generic import CreateView
from .forms import CustomUserCreationForm
class SignupView(CreateView):
form_class = CustomUserCreationForm
success_url = reverse_lazy('home')
template_name = 'signup.html' | [
"yabakoba@gmail.com"
] | yabakoba@gmail.com |
3107a558332ff43deb57768deac006b0ed55d62e | 948d8e5c5e5b2a0357527c3dbc9a86f5fb51bad6 | /ebot_nav/scripts/ebot_waypoint_nav.py | ba8f95aaa131d9d1d46e72cce42b7c4afd637ccc | [] | no_license | jasmeet0915/E-yantra_2020 | 7a34176f197f30b8880cb15b31383f59b0aa3dab | f62d07faacb683d320d86ef5d3125bf3227e3c65 | refs/heads/master | 2023-02-24T04:38:20.371758 | 2021-01-22T15:58:53 | 2021-01-22T15:58:53 | 303,998,266 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,792 | py | #! /usr/bin/env python
import rospy
import numpy as np
# import actionlib & actionlib_msgs to create a SimpleActionClient object
from actionlib import SimpleActionClient, SimpleGoalState
from actionlib_msgs.msg import GoalStatus
# import geometry_msgs to create Pose objects with goal coords
from geometry_msgs.msg i... | [
"jasmeet0915@gmail.com"
] | jasmeet0915@gmail.com |
654e2c1856ab3a889e8e7e108d6496018b47e21c | db300b2a74ca1e1b0ff9715f5c0f6e51fd0509d1 | /awsdbconnect.py | 87ff59eac21de826ebc63f11f4d3bfe3307c16cf | [] | no_license | aswinnaidu1/altiscope-webstore | 5058e867715cc56eaf9fa81bd69e5d91ec89407e | e0c1e4f6a92586f4764236bd62b709675c12a372 | refs/heads/master | 2021-04-26T23:07:30.197158 | 2018-03-05T22:52:33 | 2018-03-05T22:52:33 | 123,933,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 648 | py | import pymysql
import boto3
def connecttodb():
conx = pymysql.connect(host='dbanaidu.cjmvjfp6abln.us-east-1.rds.amazonaws.com',user='aswin',password='amazonsiva1',db='aircraftstore')
conx.commit()
return conx
def connecttodynamodb():
dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
t... | [
"noreply@github.com"
] | noreply@github.com |
ea572bb92fca4cb3b0994b3b19f6bbc5c67b0e8b | fdfd0cca9d18076c4ab04504da3bf5e39d38ccfb | /plugins/Грамматическая_загруженность/lib/libfuturize/fixes/fix_metaclass.py | 7c489e43283e1f5fb10979717d2f82a749b3b1df | [] | no_license | ade5t/stylisticAnalysisOfText | aadc57bed384fb086e0acced21e606606339c121 | 5e511e212adb0b0e8944ae4090dac7f56f1beb27 | refs/heads/master | 2022-11-16T11:16:28.920706 | 2020-07-17T19:20:48 | 2020-07-17T19:20:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,568 | py | # coding: utf-8
"""Fixer for __metaclass__ = X -> (future.utils.with_metaclass(X)) methods.
The various forms of classef (inherits nothing, inherits once, inherints
many) don't parse the same in the CST so we look at ALL classes for
a __metaclass__ and if we find one normalize the inherits to all be
an arg... | [
"eryshev.u@gmail.com"
] | eryshev.u@gmail.com |
833ad181c5f68862eace4d05521b509afc87380d | 8ab977c2f5846378ef611e41ec29456b79508143 | /tasks/rl_basic_tasks.py | 26c9e8d20b12e6ef31168e2b188eaba2c384ad79 | [] | no_license | DavidRSeWell/RLDashApp | 06b9baf4cfdc8f21ac62923b066e277b97fd40d6 | 33f9d63d0c9a65353dba67fb5831ba331ef7ed97 | refs/heads/master | 2023-02-06T18:44:12.739959 | 2019-06-21T19:28:16 | 2019-06-21T19:28:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,917 | py | import datetime
import time
import os
import sqlite3
import pandas as pd
import numpy as np
import h5py
from scipy.stats import norm
from celery import Celery
from scipy.stats import norm
def format_query(q):
q = q.replace('\n',' ')
q = ' '.join(q.split())
return q
def execute_sql(db,q):
conn = ... | [
"befeltingu@gmail.com"
] | befeltingu@gmail.com |
c4b87867633ef1590bf86b17328f7c49e7240a27 | 74d54aef5bc3fc3aeb01a16c4738d59215085790 | /sm/main.py | b92b99e9edc36d8b9194d92c4b5212e3a1a1fb2b | [] | no_license | sarthak77/super-mario | a051cd96bef178a86f1c1f1f46d9f3574e55c7df | 1dc97213c735d20f265a9e9e5a1ac51de963b7cf | refs/heads/master | 2022-07-10T11:16:41.276036 | 2019-07-07T06:06:59 | 2019-07-07T06:06:59 | 148,191,715 | 2 | 2 | null | 2022-06-21T22:16:09 | 2018-09-10T17:17:22 | Python | UTF-8 | Python | false | false | 32,053 | py | #main code of the game
from start import *
from mainscene import *
from func import *
import time
import sys
import select
import tty
import termios
#GLABAL VARIABLES
quit=1
i=0
mariopresent=[33,7]
marioprev=["-","-","-","-","-","-","-","-"]# 8 elements
life=3
score=0#coins
a=time.time()
cjump=10#for surprise coin
bul... | [
"sarthak.singhal@students.iiit.ac.in"
] | sarthak.singhal@students.iiit.ac.in |
8e8bf11e41d2a9d112c996c91aedda605b92f21a | f1a7f108df5b6aef8672844bffa9e938b72089be | /networks/pretrained_net/__init__.py | 7f64fa2a15c76b6f62f2786c1f5307871e439b73 | [] | no_license | qianqian397/Dogs_vs_Cats_TensorFlow_Keras | 1a2325793cb91cc0c0e7f4aaeb7d5e028d3f3332 | 0e40018efc5ddc9379f840978470834e472f2de0 | refs/heads/master | 2020-11-26T22:58:20.037355 | 2019-12-12T10:19:20 | 2019-12-12T10:19:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | from networks.pretrained_net.VGG16.VGG16 import VGG16
from networks.pretrained_net.RESNET50.ResNet50 import ResNet50
| [
"nickhuang1996@126.com"
] | nickhuang1996@126.com |
129ec1929c1af7937079abce7452c92eea96f8e4 | 2443f23d928a6b3516f810e3dfdf6f4b72aa0325 | /st01.Python기초/py08반복문/py08_16_보초값.py | 75f7ddc86a9165bb9ee575c350e7cb0af877175b | [] | no_license | syuri7/Python20200209 | 48653898f0ce94b8852a6a43e4e806adcf8cd233 | 5f0184d9b235ce366e228b84c663a376a9957962 | refs/heads/master | 2021-01-01T10:37:59.077170 | 2020-03-15T09:15:50 | 2020-03-15T09:15:50 | 239,241,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 802 | py | # while문을 사용하여 합계를 구하시오.
# 무한 반복과 반목문(루프) 탈출을 결합한 예정
# 페이지 134 참고
# 무한 반복문은 조건식을 True로 하면 된다.
# 루프 탈출은 break를 사용하면 된다.
sum = 0
count = 0
print("종료하려면 음수를 입력하시오.")
while True: # 무한 루프
입력값 = input("성적을 입력하시오.")
# 정수로 변환
입력값 = int(입력값)
# 입력값이 음수이면 반복문을 종료
if 입력값 < 0:
break # 반복문을 종료
... | [
"d@d"
] | d@d |
f32d2ec9c40cacb50e5ba2d49c0873d117c8bc4c | c0f2a38caac5b8af21a4c526987dd0532eebda28 | /run.py | dc9f0031214d0fa00d497bec8310ec37d7b401f7 | [] | no_license | boer0924/boer-wechat | fba1dff9d65b2b23cea0d83503f5462cfa937126 | d8b8a856af279f5fc2bea9117d9ae814418a061d | refs/heads/master | 2020-06-13T22:48:50.428663 | 2016-12-09T14:30:11 | 2016-12-09T14:30:11 | 75,544,083 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 189 | py | import os
from app import create_app
from config import config
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000)
| [
"boer0924@qq.com"
] | boer0924@qq.com |
9390ac9a05ba2cf70ffb3bf1c4c724e79c3c8eda | 81f81a9affdd0bd467825fd4e21d9a0cd835706b | /grass/03_pygrass_serial/pygrass_serial.py | cbbbcd4c6af7c8421e3d539c5fcec33517bf2dc0 | [] | no_license | csc-training/geocomputing | dd4445c505bf6051b0629d5617264acbc9284a88 | 582e51f90089130adcd4da42e69c4b7c95cc3625 | refs/heads/master | 2023-08-24T21:19:19.730574 | 2023-08-23T12:52:14 | 2023-08-23T12:52:14 | 99,661,745 | 35 | 21 | null | 2023-09-14T11:07:39 | 2017-08-08T07:07:17 | Jupyter Notebook | UTF-8 | Python | false | false | 1,307 | py | from grass.pygrass.modules.shortcuts import general as g
from grass.pygrass.modules.shortcuts import raster as r
from grass.pygrass.modules.shortcuts import vector as v
#from grass.pygrass.modules.shortcuts import temporal as t
from grass.pygrass.modules.grid import GridModule
file='/appl/data/geo/mml/dem10m/2019/W3/... | [
"kylli.ek@csc.fi"
] | kylli.ek@csc.fi |
bd1771928b88b2b00dd990cdf0a30f7110cf8d84 | a0c6af3627a8b5b306d0a7d43dd3bc362b041449 | /app.py | 53c929f41104f59e6af2a43efda2bd939afc33ad | [] | no_license | amandageorgescu/chatapi | e991d0d1093270c021d575723061338b18a4761c | c19409a8918d66e3148376d29b6dcb72688fa22f | refs/heads/master | 2021-01-11T14:53:12.971149 | 2017-02-05T00:25:28 | 2017-02-05T00:25:28 | 80,242,919 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,771 | py | #!/usr/local/bin/env python
import flask
import flask_sqlalchemy
import hashlib
import app
import os
import datetime
from flask import request, json
app = flask.Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/chat.db'
db = flask_sqlalchemy.SQLAlchemy(app)
#Model
class User(db.Model):
__table... | [
"georgescu.amanda@gmail.com"
] | georgescu.amanda@gmail.com |
deaf0d68b75d76daf2148049eed3e2be5d5008b9 | 60aa3bcf5ace0282210685e74ee8ed31debe1769 | /core/sims4/repr_utils.py | 8fe89c74f5e505a9815ce9efad0af05baaee8694 | [] | no_license | TheBreadGuy/sims4-ai-engine | 42afc79b8c02527353cc084117a4b8da900ebdb4 | 865212e841c716dc4364e0dba286f02af8d716e8 | refs/heads/master | 2023-03-16T00:57:45.672706 | 2016-05-01T17:26:01 | 2016-05-01T17:26:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,243 | py | from types import FrameType
import functools
import sys
def _strip_source_path(path):
for f in sys.path:
while path.startswith(f):
return path[len(f):].lstrip('\\/')
return path
class suppress_quotes(str):
__qualname__ = 'suppress_quotes'
def __str__(self):
return self
... | [
"jp@bellgeorge.com"
] | jp@bellgeorge.com |
1e83a61419ae959d0270392bdd2b2ac0193a8498 | abc686d65019110193b97678b48b08433a7e034d | /scraper-framework/scrapy_balloons/supportclients/aws.py | 69e59a8cdc360c0f4f0485b44c2fa6cb30ed78be | [] | no_license | huyhoang17/scraper | bb261bdfbd88c7599f55e22d57a364bee2deef88 | c7b928097fd14a20dad4e400216b63256e6dbab8 | refs/heads/master | 2021-01-11T02:10:46.411954 | 2015-05-26T06:33:00 | 2015-05-26T06:33:00 | 70,796,442 | 1 | 0 | null | 2016-10-13T10:40:28 | 2016-10-13T10:40:28 | null | UTF-8 | Python | false | false | 2,987 | py | from scrapy_balloons.utils.allfunctions import *
from scrapy.http import Request
from scrapy_balloons.items import *
from time import gmtime, strftime
import re
class aws:
"""
Step 1: Create 1 request from code 'RequestVerificationToken'
Step 2: Get event's data from response
"""
api_url = "https:... | [
"hoangminh.itvn@outlook.com"
] | hoangminh.itvn@outlook.com |
7e1d3f98f9918b8c57609a3abdbe11d5430f69ca | 7f8ae468840f175a4744896986d4ec66895f08c2 | /src/logcollection/loggers.py | 7f85bc7dc7dc0ceaae168959543cf8019ea29f5d | [] | no_license | TakesxiSximada/logcollection | 1ed54554c12d12e10149d1c473cd0eab00bd1cb2 | 19028f249fe7526227f3fe11607b24812a000b5c | refs/heads/master | 2016-09-11T01:19:13.810367 | 2015-08-30T13:54:24 | 2015-08-30T13:54:24 | 29,011,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | # -*- coding: utf-8 -*-
import logging
from functools import lru_cache
from lazr.delegates import delegate_to
from .interfaces import ILogger
@delegate_to(ILogger, context='_context')
class LazyLogger(object):
def __init__(self, name):
self._name = name
@property
@lru_cache()
def _context(sel... | [
"takesxi.sximada@gmail.com"
] | takesxi.sximada@gmail.com |
4259f82d3a522f689537a8024e105b0567bea99b | bd9f7f145422e242a60a5ee090e3070f707acd3c | /UPC.py | 3221bf82b6de6e15d3a791648ccd9bec66be4cfe | [] | no_license | Gav104/practice_code | cfbf754bc3ebb46f62c7416688399d80fd4cf3fc | 1bdf9aca8929667bd29458a5dded9c90582f6fa7 | refs/heads/master | 2020-12-28T16:51:29.188186 | 2020-02-06T07:04:01 | 2020-02-06T07:04:01 | 238,403,102 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 526 | py | import requests
import json
import csv
UPC = input("What is the UPC? - ")
UPCResult = ("https://api.upcitemdb.com/prod/trial/lookup?upc=" + UPC)
UPCResult # Website / URL we will contact
wjdata = requests.get(UPCResult).json()
print('\n')
dataset = (wjdata['items'][0])
print(dataset)
print(type(dataset))
print("-")... | [
"gavinohanlon104@gmail.com"
] | gavinohanlon104@gmail.com |
99ac6fe4c345bbe0805306eae469c131dcc7e20c | c216e15a00b3b729ce4aeefc1d85edffe7eb1b48 | /closures.py | 8848a48df788487181cf760a40cd98269b51e516 | [] | no_license | succinction/Python | 564b677701eb2b234db98aaccbbdd00704399f30 | 10f6e2d6ba5f72d23e3600a9afa158f7d06eefae | refs/heads/master | 2021-06-16T19:07:57.518667 | 2017-06-07T20:23:58 | 2017-06-07T20:23:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,328 | py |
def a_new_decorator(a_func):
def wrapTheFunction():
print("I am doing some boring work before executing a_func()")
a_func()
print("I am doing some boring work after executing a_func()")
return wrapTheFunction
# def a_function_requiring_decoration():
# print("I am the function w... | [
"succinction@gmail.com"
] | succinction@gmail.com |
363b901442a645ecf9548d3dc0b6dfe3fbcb2f6f | a900f9c17af9fe73783e89940040ffa54158dd21 | /test/test_add_contact.py | acf5b6100a5708971d1a4ae04604895ae33cbbd2 | [
"Apache-2.0"
] | permissive | mikhaylov2a/python_training | 48de6c746eacd36676b407507fec4b2a932ab70c | 18ee7a5dd5189506d037e5d65facd1a2ec26e19f | refs/heads/master | 2020-12-14T09:18:51.548731 | 2020-01-26T16:55:05 | 2020-01-26T16:55:05 | 234,696,038 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | # -*- coding: utf-8 -*-
from model.contact import Contact
def test_add_contact(app):
app.session.login("admin", "secret")
app.contact.create_contact(Contact(firstname="john", middlename="j", lastname="smith", nickname="neo",
title="title", companyname="RealCo", firstaddress="1st... | [
"mikhailov2a@gmail.com"
] | mikhailov2a@gmail.com |
deca784aa0384b1925a9d39771ac13ea8b93714d | edd5faeff1698f9e58c5a91c9567b4579e68323d | /test/test_sh.py | dac63a3e41dbf7e30c32ec6cc0fe52a6d393f357 | [
"MIT"
] | permissive | GaryLee/cmdlet | 30151491f5dba991142edf9af01bb674282d9073 | d5bc971ea1e3afe866ba882b97453964d8517783 | refs/heads/master | 2021-01-10T17:24:41.596090 | 2020-08-30T14:56:23 | 2020-08-30T14:56:23 | 46,262,134 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,667 | py | #!python
# coding: utf-8
import sys
import platform
from os import path
from cmdlet.cmds import *
is_py3 = sys.version_info >= (3, 0)
def test_sh_input():
register_default_types()
test_vector = ['this', 'is', 'a', 'shell', 'input', 'output', 'test', '!!']
if is_py3:
cmd=r'''python3 -c "from sys ... | [
"garywlee@gmail.com"
] | garywlee@gmail.com |
dac4a90c856c8b6205ee53a754f74e9b55ce5fd6 | 13efbb0b88ff2adf5d7cf62106676c4347dfae31 | /factorset/factors/ROIC.py | d55e2f5d7eef252f42979fe7034a572f00aca2eb | [
"MIT"
] | permissive | michaellinp/factorset | a5a05a82887e84474a1678627a0cf739f5513ef8 | ad246804449b31c0e24434ade75b86513eecf72c | refs/heads/master | 2022-01-08T06:50:10.700589 | 2018-05-25T13:15:28 | 2018-05-25T13:15:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,768 | py | # -*- coding:utf-8 -*-
"""
@author:code37
@file:ROIC.py
@time:2018/3/217:39
"""
import pandas as pd
import tushare as ts
from factorset.factors import BaseFactor
from factorset.data.OtherData import code_to_symbol, shift_date
from factorset.data import CSVParser as cp
from factorset.Util.finance import ttmContinues
c... | [
"495673131@qq.com"
] | 495673131@qq.com |
62115d63d7c3755e8fc05d6cf73fa9d3a9857653 | e461f81351a70ee2f8040d7e776f32cde86951a3 | /bin/easy_install-3.7 | d6f1237f92a066bbd2260d004a79fba8b66ba273 | [] | no_license | gaspiman/facecrop | 1c4637ecec39c15a596c782cbceb5e977ae87460 | 0d87ee0f42a0f22d846b0092bac5cdc9c4e5a161 | refs/heads/main | 2023-01-18T17:33:25.994212 | 2020-11-20T14:44:19 | 2020-11-20T14:44:19 | 314,577,622 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 285 | 7 | #!/Users/gaspiman/dev/src/github.com/gaspiman/suggestions/.env/bin/python
# -*- 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())
| [
"ayouroukov@gmail.com"
] | ayouroukov@gmail.com |
2c6c4264cb594c4bc7ecaa40e5d99619f2ca30cf | eee6dd18897d3118f41cb5e6f93f830e06fbfe2f | /venv/lib/python3.6/site-packages/pip/_vendor/distlib/metadata.py | 69ef29eb16fc38a48ed43e07359abac03efebd73 | [] | no_license | georgeosodo/ml | 2148ecd192ce3d9750951715c9f2bfe041df056a | 48fba92263e9295e9e14697ec00dca35c94d0af0 | refs/heads/master | 2020-03-14T11:39:58.475364 | 2018-04-30T13:13:01 | 2018-04-30T13:13:01 | 131,595,044 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 40,001 | py | # -*- coding: utf-8 -*-
#
# Copyright (C) 2012 The Python Software Foundation.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
"""Implementation of the Metadata for Python packages PEPs.
Supports all metadata formats (1.0, 1.1, 1.2, and 2.0 experimental).
"""
import codecs
from email import message_from_file
import json
i... | [
"georgeosodo2010@gmail.com"
] | georgeosodo2010@gmail.com |
d1ab281c2e62d65260d23ab349dc6a3a12a368ca | 8e14eb40fd16c3432c4d4d19306f8fd7919c20cd | /cliente/testeJson.py | b2d4a77a6f8423751118e9c7c87192cbb5a46eea | [] | no_license | SymbiSoft/pytrucos60 | ab354126293827ca66f29dea8483ae266bfc402c | de533b0d60c16618e2685b38b8f33dac4900e205 | refs/heads/master | 2021-01-10T15:06:59.470248 | 2012-06-07T19:55:42 | 2012-06-07T19:55:42 | 48,182,900 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,322 | py | #-*- coding: utf-8 -*-
# Author: Wander Jardim
# email: wanderjardim@gmail.com
# Copyright 2011
# About: The main application class, will hold event processing
# code as also objects to represent windows.
import appuifw
import e32
import sys
import os
PYTRUCOS60_UID = u"ef080808"
TESTE_PATH1 = "\\Python\\"
... | [
"wanderjardim@gmail.com"
] | wanderjardim@gmail.com |
3643846cd776764fc37a7bffd93fbf6320164c7a | 979e64ea513a29309967a03b6d282c386fb374cb | /articles/urls.py | a5ce0ff3c9f465b630fba9eff44449a94bebf515 | [] | no_license | Arthanadftz/vkr_project_v2 | 0af87149bcd26f99a264993e70df1744913f6c68 | f204f8a14810c3ee52a7c81927a9fdbc7e9941c4 | refs/heads/master | 2023-04-27T14:55:09.162157 | 2019-06-09T13:34:32 | 2019-06-09T13:34:32 | 187,499,092 | 0 | 0 | null | 2023-04-21T20:31:49 | 2019-05-19T16:08:07 | Python | UTF-8 | Python | false | false | 490 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.ArticleListView.as_view(), name='article_list'),
path('new/', views.ArticleCreateView.as_view(), name='article_new'),
path('<int:pk>/edit/',
views.ArticleUpdateView.as_view(), name='article_edit'),
path('<int:pk>/... | [
"nikitazdanov@iMac-Nikita.local"
] | nikitazdanov@iMac-Nikita.local |
59975cc741528fa0110c3e9cc78057a3c98883cf | 019994225e24e2dea836f21f4d39c3cf891ebab5 | /models/Location.py | c22172ff8668b14bf8f4b0a41f87881508dd74a7 | [
"MIT"
] | permissive | AbdelrhmanHamouda/Weather_RESTful_api | 67c51bf62f97dad666d68bd7528c5fac3ab7525c | 6fa4c52a04d78ea99218226670fa5265b36fb68d | refs/heads/main | 2023-02-03T05:25:03.630576 | 2020-12-20T09:43:16 | 2020-12-20T09:43:16 | 317,033,781 | 0 | 0 | MIT | 2020-12-13T20:56:35 | 2020-11-29T20:08:23 | Python | UTF-8 | Python | false | false | 241 | py | from typing import Optional
from pydantic import BaseModel
# Init a pydantic model to use in the route instead of passing so many variables.
class Location(BaseModel):
city: str
state: Optional[str] = None
country: str = 'US'
| [
"abdelrhman.ahmed@outlook.com"
] | abdelrhman.ahmed@outlook.com |
1cf467b58fc95dc223aba6b2fc94d92dce2949cd | fa3bf02fdcd6dfa48de8b9345c0131ac61abe0ab | /alphastarmini/core/arch/spatial_encoder.py | 7f235287a5f1b98cbaf021d49e8a010734380604 | [
"Apache-2.0"
] | permissive | jkchromy/mini-AlphaStar | d56423e2e86cb69ea100518e3d16f59eb6851c5e | 9c9f7a4cc53a969da9d53d7dd46122178d83085e | refs/heads/main | 2023-09-05T20:54:27.279230 | 2021-11-15T02:06:23 | 2021-11-15T02:06:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,155 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
" Spatial Encoder."
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from alphastarmini.core.arch.entity_encoder import EntityEncoder
from alphastarmini.core.arch.entity_encoder import... | [
"liuruoze@163.com"
] | liuruoze@163.com |
fd72a5293e172d8358502b21a6a3d9f435c2e9bb | fe7dbe29d50f3e122cc21fe347e5c231eb26024f | /project/grocery_list/views.py | b2e37e48f00d0df24b543557b17d874f77250b0d | [] | no_license | anadyr-1/grocery | 431e575fd81161ce7d6e40d8b3f10811cb0ef2d8 | 66033ca69487144ebb8e5aafd752265fd2546b22 | refs/heads/master | 2020-03-27T11:57:32.566389 | 2018-09-21T22:34:31 | 2018-09-21T22:34:31 | 146,517,021 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,262 | py | from grocery_list.models import Grocery, GroceryList, Recipe
from grocery_list.serializers import GrocerySerializer, GroceryListSerializer, RecipeSerializer
from rest_framework import generics
from rest_framework.response import Response
from rest_framework.parsers import JSONParser
from django.views.decorators.csrf im... | [
"patrick.lauppe@gmail.com"
] | patrick.lauppe@gmail.com |
397af5e22f3391d8db8b9ebfad7cb31cbb87725e | b20f297495857e6eec300452f85ea5f293d324d0 | /generate.py | d9326fe4fc3ce29e73714a2e71ef3fbc3d6562c1 | [] | no_license | zhaoxuhui/video-generator | 7e4d28ca4bfbffd120f764bb1e56249985903c7a | c310503afe0b87ec27f1376a1110045314d20c50 | refs/heads/master | 2021-02-27T13:09:16.350241 | 2020-03-07T10:11:26 | 2020-03-07T10:11:26 | 245,607,321 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,456 | py | import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import os
def findAllFiles(root_dir, filter):
"""
在指定目录查找指定类型文件
:param root_dir: 查找目录
:param filter: 文件类型
:return: 路径、名称、文件全路径
"""
print("Finding files ends with \'" + filter + "\' ...")
separator = os.path.se... | [
"zhaoxuhui1993@qq.com"
] | zhaoxuhui1993@qq.com |
d8bca2f697fc48df753b8ebc8305207a7cf39ca5 | 8a7e8fd10a43c10b6e8ab04ed338a7fcff54947d | /docs/conf.py | 19e12a747cfc167b848d77ee62f38738ee3c1b51 | [
"MIT"
] | permissive | xcnkx/kaggle_titanic | e6dbb1008b31e24132de274b80ab9a6bb9048e6a | 09f774b708ae5f7563d14e74ba121748833ff6cc | refs/heads/master | 2022-12-22T02:00:28.841050 | 2019-04-27T04:47:23 | 2019-04-27T04:47:23 | 174,256,359 | 0 | 0 | MIT | 2022-12-08T01:40:47 | 2019-03-07T02:26:06 | Jupyter Notebook | UTF-8 | Python | false | false | 7,825 | py | # -*- coding: utf-8 -*-
#
# Kaggle_titanic documentation build configuration file, created by
# sphinx-quickstart.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values... | [
"cnk_2806@me.com"
] | cnk_2806@me.com |
53882dc73e368f6c749d7838a985265351315fb0 | f64d8201c2e55d7631d0a03a7a51d146c7d5c761 | /00Python代码/flask_learn/10extends_block/extends_block.py | e882945721804bf0cdb4dafcb648896e538e10a1 | [] | no_license | wh-orange/CodeRecord | cd14b5ccc1760a3d71762fef596ba9ab8dac8b8c | 0e67d1dafcb2feaf90ffb55964af7a9be050e0ee | refs/heads/master | 2022-01-18T10:26:27.993210 | 2019-08-04T17:38:35 | 2019-08-04T17:38:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | #encoding: utf-8
from flask import Flask,render_template
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/login/')
def login():
return render_template('login.html')
if __name__ == '__main__':
app.run(debug=True)
| [
"ljressrg@gmail.com"
] | ljressrg@gmail.com |
fbefe5ee53df4789d1f34bd68a4a528e2a05ab55 | a3785b6ff7734d98af1417000cd619a59bd5a268 | /part_2_mmntv/regression/mpg/master_process.py | 5cb1a476caa23132c8799010886daa0520f3c007 | [] | no_license | SuryodayBasak/mst-final-run | bd9800744ab4fb6f0947c258ebc1be1151bc9ff2 | 2cde94af03d63f66cc3753843e4e60c92c313466 | refs/heads/master | 2022-07-01T22:40:39.003096 | 2020-05-09T04:25:18 | 2020-05-09T04:25:18 | 260,341,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,352 | py | import numpy as np
import data_api as da
import multiprocessing
import time
from knn import KNNRegressor, DwKNNRegressor
from sklearn.model_selection import train_test_split
from ga import GeneticAlgorithm
from sklearn.metrics import mean_squared_error as skmse
from ga_run import ga_run
from pso_run import gbest_pso_ru... | [
"suryodaybasak@gmail.com"
] | suryodaybasak@gmail.com |
c0e4444f72f861346f349b0d3e17248c24e001e7 | 6f05f7d5a67b6bb87956a22b988067ec772ba966 | /data/test/python/b12493130ac5924d0181574c0779561a13d48541admin.py | b12493130ac5924d0181574c0779561a13d48541 | [
"MIT"
] | permissive | harshp8l/deep-learning-lang-detection | 93b6d24a38081597c610ecf9b1f3b92c7d669be5 | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | refs/heads/master | 2020-04-07T18:07:00.697994 | 2018-11-29T23:21:23 | 2018-11-29T23:21:23 | 158,597,498 | 0 | 0 | MIT | 2018-11-21T19:36:42 | 2018-11-21T19:36:41 | null | UTF-8 | Python | false | false | 559 | py | from django.contrib import admin
from repositories.models import Repository, Credential
from repositories.forms import RepositoryForm, CredentialForm
class RepositoryAdmin(admin.ModelAdmin):
form = RepositoryForm
list_display = ('name', 'manager', 'endpoint')
class CredentialAdmin(admin.ModelAdmin):
form ... | [
"aliostad+github@gmail.com"
] | aliostad+github@gmail.com |
31299d70df8982c1ec42479742d8a20e0c929a42 | 4a8d3c70a8d234d3b8951e5a58709d2be54ac842 | /cart/cart.py | 5b29d5f5401e078a3eeaeaa77eb0eb3415fcf6a9 | [] | no_license | ekatwho/bookstore45 | 8107ed75ca01fe5d5db03e4f654cbb4552fccdec | 8879b94c854e49408ceeaf510991c122d63df385 | refs/heads/master | 2023-05-25T06:39:18.707193 | 2021-05-29T09:08:57 | 2021-05-29T09:08:57 | 366,277,023 | 0 | 1 | null | 2021-05-11T14:49:42 | 2021-05-11T06:21:32 | Python | UTF-8 | Python | false | false | 2,413 | py | from decimal import Decimal
from django.conf import settings
from shop.models import Product
class Cart(object):
def __init__(self, request):
"""
Initialize the cart.
"""
self.session = request.session
cart = self.session.get(settings.CART_SESSION_ID)
... | [
"noreply@github.com"
] | noreply@github.com |
660ee441142d617aee932d223611f5b28bc11cf0 | 90969b7b86f0b17a25f8f1ea9360a53e1855f36e | /news_app/routes.py | c269242adec49d71dc1abc888adfc23522a75a9f | [] | no_license | MoneaVlad/flask-news-app | 2648a6a76b9f3901a3844251ad0884ef061bcf8b | 93bcbd1bf57814d1f526edef3e46c269c65d7963 | refs/heads/main | 2023-05-07T13:44:40.611775 | 2021-05-20T00:01:45 | 2021-05-20T00:01:45 | 369,000,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,149 | py | from news_app.news import getNewsFromTopic, getTopics
from flask import render_template, redirect, url_for, request, flash
from flask_login import login_user, current_user, logout_user, login_required
from news_app import app, db
from news_app.forms import RegistrationForm, LoginForm
from news_app.news import getNewsFr... | [
"vmonea@fitbit.com"
] | vmonea@fitbit.com |
b8359d24dd876ab46950040d77eb52f836f79def | 2736cebfd34ebdec028f0bbcfffbd8e0e75b98a7 | /ML/Capacity_Planning/input_csv.py | 4bde83feac182b7e5a0270491255d4f0215356cc | [] | no_license | braja535/Codes | 10078e10d7cdfbf7019a52aa309066f886c96df0 | b4d35c3ca76eacddf1333a55b10acaeb31121fc4 | refs/heads/master | 2020-12-02T22:42:54.036206 | 2017-08-02T16:00:41 | 2017-08-02T16:00:41 | 96,169,547 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,436 | py | import csv
import pandas as pd
import io
import random
import math
#df = pd.read_csv('compute-03.csv',usecols=['time','value'])
#df = pd.read_csv('/home/raja/aggregation-cpu-average.percent-active_bb-blr-prod-compute.csv',usecols=['time','value'])
#df.to_csv('prod-compute.csv')
def LoadDatasets(filename,split,traini... | [
"natajasekhar@bankbazaar.com"
] | natajasekhar@bankbazaar.com |
bbcb4440cdf209b3729ac4d4eb688a416411d79d | ce32657c87891a645dd116d378f6b1519ad8a3bc | /onmt/modules/global_attention.py | b14692951d9842d8dadf4382c05baf1793fe9aae | [] | no_license | CreaterLL/DDAMS | 6dae2e8524308669ff68020b71983ac0f438affe | 8fe17bd2b36c10f5a338b8aec9b7adad0ceb261a | refs/heads/main | 2023-05-13T09:44:52.224705 | 2021-06-15T11:20:36 | 2021-06-15T11:20:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,849 | py | """Global attention modules (Luong / Bahdanau)"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from onmt.modules.sparse_activations import sparsemax
from onmt.utils.misc import aeq, sequence_mask
# This class is mainly used by decoder.py for RNNs but also
# by the CNN / transformer decoder when... | [
"fengxiachong_hit@163.com"
] | fengxiachong_hit@163.com |
941316000714f17d11800af916d06a25fef729ca | c7010ded86da5be48d10f65d9397be6254be1a09 | /code.py | 8826d1d4d4f59c75731befd8be8c937d162e6f3f | [
"MIT"
] | permissive | MapuH/Coursera-Python | 0a9d26c2d2eb7a626e840bffd6b37ccd5726af69 | fc9cd88483da49bb043db1255586c30265b2fb66 | refs/heads/master | 2021-01-01T19:59:31.524815 | 2015-01-10T21:59:33 | 2015-01-10T21:59:33 | 29,064,536 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 81 | py | print "This is my first line of code."
print("This is my second line of code.")
| [
"m.s.marinov@gmail.com"
] | m.s.marinov@gmail.com |
6ca259815af0d360b758e2b3500b632cac6ef117 | 301a6d0e527c0740faa9d07f3e75ef719c51f858 | /gantcal/cal/migrations/0006_auto_20160210_1233.py | e1243e4b17e588761e3b64e02d5c4d74b5ef563c | [] | no_license | akmiller01/gantcal | 249eafa2de1d261ba7e54d59a8275e980caaf408 | da99526f3a353bcc83fb2900044a4c8e8db0e6b5 | refs/heads/master | 2021-01-17T15:24:23.206363 | 2017-02-22T14:21:04 | 2017-02-22T14:21:04 | 51,007,120 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-10 12:33
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | [
"alex.k.miller@gmail.com"
] | alex.k.miller@gmail.com |
aa1fa18c03be28898f5293490a23de02df193858 | 28e39e4f308de8b90e3813e347f8b87f2bd7b569 | /imgcrawler/crawler_func.py | 4c957b44985512e29c5db03a8673ce55394f9800 | [] | no_license | yunluoxiaobin/imgcrawler-tool | 5b33560c30e1447cd75763190e22f6aeed3441df | c67c97750f95dfea18f0073508834c54154a3abb | refs/heads/master | 2023-01-30T13:26:58.751322 | 2020-12-14T03:23:59 | 2020-12-14T03:23:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,367 | py | import requests
from bs4 import BeautifulSoup
import re
import uuid
from tqdm import tqdm
import time
import shutil
import os
baidu_url = 'http://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&ct=201326592&v=flip&word='
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KH... | [
"409767510@qq.com"
] | 409767510@qq.com |
24450b29d23b2b7f0f99a3b2bb2811bd670bf89a | babc3e26d66a8084c9f84a0431338bafabae6ffd | /TaeJuneJoung/ACM/brute_force/p1182.부분수열의 합.py | 57966b23796f176632ebfe67ed031fd3ce6133ab | [] | no_license | hoteldelluna/AlgoStudy | 5c23a1bfb07dbfbabc5bedd541d61784d58d3edc | 49ec098cecf2b775727d5648161f773e5488089b | refs/heads/dev | 2022-10-09T14:29:00.580834 | 2020-01-25T14:40:55 | 2020-01-25T14:40:55 | 201,632,052 | 5 | 0 | null | 2020-01-25T14:40:57 | 2019-08-10T13:11:41 | Python | UTF-8 | Python | false | false | 407 | py | """
[완전탐색:Brute-force Search]
집합의 모든 원소의 집합을 꺼내서 합한 후,
해당 값과 같은지 비교하여 같으면 cnt++
"""
N, R = map(int, input().split())
arr = list(map(int, input().split()))
cnt = 0
for i in range(1, 1 << N):
sum_num = 0
for j in range(N):
if i & 1 << j != 0:
sum_num += arr[j]
if sum_num == R:
cn... | [
"jtj0525@gmail.com"
] | jtj0525@gmail.com |
a8b262d5222cd6bfb53827635cddb4926379e537 | a93cb5d670ab3b11f75f1afbd925fea2fac3aa92 | /backend/maze_game_19808/settings.py | edb194014f1bab70390523539427a56c2ea70179 | [] | no_license | crowdbotics-apps/maze-game-19808 | 156f1d011f8da29906ebde97688885207a1ce0b7 | 4abba9ca9b5adbb9a6c16005beae1c7946963182 | refs/heads/master | 2022-12-05T16:41:49.030137 | 2020-08-27T00:27:17 | 2020-08-27T00:27:17 | 290,634,346 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,901 | py | """
Django settings for maze_game_19808 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
impo... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
18112fc2ef13761ab56b0ad9361922b18eedae8b | 06397078d27796c4f8a7172232925c97d8075dc8 | /app-3rd-party/ultragrid-1.1-rc4/FastDXT/bin/dnd.py | 61433748ccc8a9084d87f6a328c24275019f3b68 | [] | no_license | ItayGal2/sage-graphics | 5ca89459a2c05ebf965d11f636e9a72028a8db5c | 090640167329ace4b6ad266d47db5bb2b0394232 | refs/heads/master | 2021-01-10T20:14:06.718143 | 2012-07-24T18:41:59 | 2012-07-24T18:41:59 | 38,210,116 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,811 | py |
import wx
import os, stat
#----------------------------------------------------------------------
PATH2DXT = "/Users/luc/Dev/FastDXT/bin/2dxt"
WIDTH = 1920
HEIGHT = 1080
FORMAT = 1
#----------------------------------------------------------------------
def mylistdir(directory):
"""A specialized version of o... | [
"renambot@gmail.com"
] | renambot@gmail.com |
7a4e323cd0bfbc8996619f0391c5f023deeeeaa8 | 6c866622c26e36da473d411d8f61252da12ecf4c | /demo/mongodb/runserver.py | dc77eacbd1d8ad03bc3c1518ca54d2e2fa08562e | [] | no_license | mrpadan/resource | d3d5e018ae927871af8f463293ccb762eab3aaa9 | fe9cdfc7553c7748c3eb2b7e50ce1dc6167b9e8d | refs/heads/master | 2021-01-20T17:33:35.828883 | 2014-10-13T15:02:25 | 2014-10-13T15:19:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,736 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
from jsonform import JsonForm
from pymongo import MongoClient
from flask import Flask
from resource import Resource, Filter
from resource.index import Index
from resource.db.mongo import Collection, MongoSerializer
from resource.contrib.fram... | [
"luopeng.he@gmail.com"
] | luopeng.he@gmail.com |
3ab792aded34c44d711400676e9f9c82534fcf19 | 579217c21329537358ee7f098c1e5bfb867b67aa | /RemoteOperation.py | 2c116522da038f43285a23fd16f456ebe0d5cfc9 | [] | no_license | max827/del_to_excel | e1528d44ccf9e95a188005b85a7a64ef6e860567 | 7468f9780cddb555c4169d101266f9474b233366 | refs/heads/master | 2023-08-03T13:23:43.705902 | 2021-09-26T15:03:12 | 2021-09-26T15:03:12 | 403,241,102 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,237 | py | import paramiko
import requests
import paramiko
import os
from stat import S_ISDIR as isdir
class RemoteOperation:
def __init__(self, host, username, password):
self.host = host
self.username = username
self.password = password
def ssh_Run_Cmd(self, cmd):
"""
远程执行 CMD ... | [
"942134712@qq.com"
] | 942134712@qq.com |
474d47fa263276c39e312bb95ec77e4a5467baca | f6cdbacc79802ee2408c5686ac471136a9cfb7f2 | /venv/bin/easy_install-3.5 | 5bb06649ebc168d69c0c61e21953732481ff966c | [] | no_license | eHuisse/MLP | 920563d9c3fec9413b4dd4d2b667b81a5f843cea | 83b834f6f33f650ef16ed5d5a90b9dd5a528f50a | refs/heads/master | 2020-04-10T17:33:27.270696 | 2018-12-10T13:14:26 | 2018-12-10T13:14:26 | 161,177,393 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | 5 | #!/home/edouard/PycharmProjects/TPneurone/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==39.1.0','console_scripts','easy_install-3.5'
__requires__ = 'setuptools==39.1.0'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe... | [
"huisse.edouard@wanadoo.fr"
] | huisse.edouard@wanadoo.fr |
1f1134dae9bc171e4e36131aac07200d449c4ee7 | 16303a3f6bc8fd1f2116bc3cdd22db8f5e56ae40 | /tests/common_tests/formats_tests/newick_tests.py | 60dbf5d547dd262269722ddcd8964b3dd46514f3 | [] | no_license | jelber2/paleomix | eb3ed410e925437321168710808b67cf8c029bbf | dfb7f8f9410e1e985992e7ed95adc36de7bc0353 | refs/heads/master | 2020-08-23T01:36:50.778627 | 2019-10-15T20:17:42 | 2019-10-15T20:18:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,722 | py | #!/usr/bin/python
#
# Copyright (c) 2012 Mikkel Schubert <MikkelSch@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
#... | [
"MikkelSch@gmail.com"
] | MikkelSch@gmail.com |
7b9dbea9e9fdfdc4c4710de9be9f3487bc3afc4e | 392edf39711e7cfa7194efaf1f4f2ed66d45e561 | /pycharts/charts/bubble_chart.py | d394639a616ceaa2ae7efb6fe861e1bca2062405 | [
"MIT"
] | permissive | jpmfribeiro/PyCharts | efc77e68bf75d84757b49f1d8a6536afd0861b68 | e1b52ba11adbb8fa884116019e2321bc769adfba | refs/heads/master | 2021-01-25T10:15:34.037422 | 2015-10-22T14:19:39 | 2015-10-22T14:19:39 | 32,893,304 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,744 | py | from ..fields.chart_field import ChartField
from ..fields.title_field import TitleField
from ..fields.axis_field import AxisField
from ..fields.series_field import SeriesField
from ..fields.series.series import Series
from highchart import HighChart
class BubbleChart(HighChart):
def __init__(self, title, data, x_... | [
"mjoao@student.ethz.ch"
] | mjoao@student.ethz.ch |
fceb973003007ef5405eb8febf5ac8a41ce33ad7 | b8cc6d34ad44bf5c28fcca9e0df01d9ebe0ee339 | /requests模块/5.5、高级用法-异常处理.py | 42990463ecb480ba842a6fdf377487716d805e8c | [] | no_license | python-yc/pycharm_script | ae0e72898ef44a9de47e7548170a030c0a752eb5 | c8947849090c71e131df5dc32173ebe9754df951 | refs/heads/master | 2023-01-05T06:16:33.857668 | 2020-10-31T08:09:53 | 2020-10-31T08:09:53 | 296,778,670 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | # -*- coding: utf-8 -*-
#异常处理
import requests
from requests.exceptions import * #可以查看requests.exceptions获取异常类型
try:
r = requests.get('http://www.baidu.com', timeout=0.001)
except ReadTimeout:
print('=======:')
except ConnectionError: # 网络不通
print('------')
except Timeout:
print('aaaaaa')
except Request... | [
"15655982512.com"
] | 15655982512.com |
9cd6e3a6c838c0bb7a7fce0dcfeee063368078a5 | e1fe8da6e18428401aed898f792e3193848ba094 | /models/transformer_decoderToEncoder.py | d6a73fa087968f8d0205f2779181b5152a3758ef | [] | no_license | li3cmz/SRGT | 0e1fe4531a7f01e0b04ac71ae8ed0fba41bd2c04 | 7b03f81487e949237988f420c65bef4e7d2cce09 | refs/heads/master | 2020-12-03T16:53:44.748993 | 2020-09-07T12:59:15 | 2020-09-07T12:59:15 | 231,397,670 | 1 | 0 | null | 2020-01-03T14:01:58 | 2020-01-02T14:26:18 | Python | UTF-8 | Python | false | false | 32,199 | py | # Copyright 2019 The Texar 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 applicable ... | [
"15992507766yz"
] | 15992507766yz |
f3ef463a068a6d88ed0913e877237474d96845e8 | 0f887bc316d8c665899258406b67f6e25838f9cf | /kangaroo.py | 18362f5f21c7f43b649fe0f2a3dec1f8224f2523 | [] | no_license | bawejakunal/hackerrank | f38489be488f76e782b7f8e8c5fdc2ba1a024c30 | 999008a19c3196c9706a9165923f5683ea887127 | refs/heads/master | 2021-01-12T04:31:50.984640 | 2017-09-08T02:28:44 | 2017-09-08T02:28:44 | 77,662,863 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | #!/bin/python
"""
https://www.hackerrank.com/challenges/kangaroo
x1 + v1.n = x2 + v2.n
n = float(x2 - x1)/(v1 - v2)
if n > 0 and whole integer then possible because the
kangaroo starting at lesser position will be able to
catch up AND land at exactly same position as the
kangaroo with a head start
"""
import sys
x1... | [
"bawejakunal15@gmail.com"
] | bawejakunal15@gmail.com |
087550c691a7f63759958f88a2520cc4f47e3e13 | a395970ce4ae445d1b0c549b54c5b3c60b6a61e1 | /tmp/venv/Scripts/django-admin.py | 60ad0fac3ed612605747786207340f61470fec45 | [] | no_license | cxz5309/likelion_Python | ea5bd0fa82c167a5aacc52cc65d7331b59f4b46f | 47ac85318647dd549788305a57b3af91f0ccdbac | refs/heads/main | 2023-08-07T01:05:24.158248 | 2021-09-04T13:08:05 | 2021-09-04T13:08:05 | 397,220,890 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | py | #!c:\users\cxz53\onedrive\바탕 화면\tutorial\python\likelion_python\tmp\venv\scripts\python.exe
# When the django-admin.py deprecation ends, remove this script.
import warnings
from django.core import management
try:
from django.utils.deprecation import RemovedInDjango40Warning
except ImportError:
raise ImportErr... | [
"42149645+cxz5309@users.noreply.github.com"
] | 42149645+cxz5309@users.noreply.github.com |
8d665a2fac160226625f5ff47170916d67a561a7 | 494c191e87ae52470b9eb5d38d4851db168ed7cc | /system_design/designing_twitter_search.py | 04d1bfbcb67768989e277cd8f694365b364a79b3 | [] | no_license | Jeetendranani/yaamnotes | db67e5df1e2818cf6761ab56cf2778cf1860f75e | 1f859fb1d26ffeccdb847abebb0f77e9842d2ca9 | refs/heads/master | 2020-03-19T01:12:45.826232 | 2018-05-30T20:14:11 | 2018-05-30T20:14:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,921 | py | """
Design twitter search
Twitter is one of the largest social networking service where users can share photos, news, and text-based messages. In
this chapter, we will design an service that can store and search user tweets.
Similar Problems: Tweet search.
Difficulty Level: Medium
1. What is twitter search?
Twi... | [
"yunpeng-li@hotmail.com"
] | yunpeng-li@hotmail.com |
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