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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
476029c999e320eb929a9e11022fbc490f764b53 | e95fc8c562c050f47ecb6fb2639ce3024271a06d | /easy/1732.找到最高海拔.py | c4b06ab3bb635300bda99006a24c867d6d0c5a0c | [] | no_license | w940853815/my_leetcode | 3fb56745b95fbcb4086465ff42ea377c1d9fc764 | 6d39fa76c0def4f1d57840c40ffb360678caa96e | refs/heads/master | 2023-05-25T03:39:32.304242 | 2023-05-22T01:46:43 | 2023-05-22T01:46:43 | 179,017,338 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 533 | py | #
# @lc app=leetcode.cn id=1732 lang=python3
#
# [1732] 找到最高海拔
#
from typing import List
# @lc code=start
class Solution:
def largestAltitude(self, gain: List[int]) -> int:
res = [0]
for i in range(len(gain)):
res.append(res[i] + gain[i])
return max(res)
# @lc code=end
if __n... | [
"940853815@qq.com"
] | 940853815@qq.com |
cc29ef64fbcb8d7437bc2beb8195cceffa04b4a1 | 7abf2c1b981ec1e541eb4294185c21af52043ac2 | /TensorFlow Technology Analysis and Actual Warfare _Li Jiaxuan/10_save_restore_net.py | 9f42838935f4d191684082e0ec81751a3c4855f1 | [] | no_license | wolf-bailang/AI-Book-Source-Code | b9453af6a663fed465a98fdc0158e3ef177516ca | 77122e021230ed12410f1ff6c91758f3f86d1241 | refs/heads/master | 2020-04-11T15:42:24.856085 | 2019-02-20T16:01:00 | 2019-02-20T16:01:00 | 161,900,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,386 | py | #!/usr/bin/env python
import tensorflow as tf
import numpy as np
import input_data
import os
# This shows how to save/restore your model (trained variables).
# To see how it works, please stop this program during training and resart.
# This network is the same as 3_net.py
# 定义权重函数
def init_weights(shape):
return ... | [
"noreply@github.com"
] | wolf-bailang.noreply@github.com |
962cad767cbbcd853c697dca22409323a3e753ba | 5c3e7573e26ee8f15ae261dcee4697572b0757a8 | /1.py | 80747022a439b81cfa3a6e105ed392722d9b2c8d | [] | no_license | duongdinhnghia1999/KTLTthuchanhbuoi05 | c27c46619f6f7a400b175b63bfc93db2460c97c5 | 435485c0c1ef0de5535fd756428167b0738aa6e6 | refs/heads/master | 2020-05-20T20:55:19.289774 | 2019-06-04T08:12:24 | 2019-06-04T08:12:24 | 185,751,489 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | import mymath
values = [2, 4, 6, 8, 10]
print ('Squares: ')
for v in values:
print(mymath.square(v))
print('Cubes: ')
for v in values:
print(mymath.cube(v))
print('Average: ' + str(mymath.average(values))) | [
"noreply@github.com"
] | duongdinhnghia1999.noreply@github.com |
0fdd9de339a26ba135bc8388006b048c5bf33995 | b7e3faac9d3ba2cffa4185712e78d152956ace3d | /7_1_solution.py | 0527225fd7f34e042afd4431a6cbb1cd40e39a9c | [] | no_license | gaurav3384/Assignment_7.11189 | 0fc600629a620182f8ece21a52e5c0ce6fcc4fce | a4092a187e1dd8e898a7827110bd3771d6d948d9 | refs/heads/master | 2020-03-25T00:30:44.681929 | 2018-08-01T18:04:48 | 2018-08-01T18:04:48 | 143,189,911 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,798 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 1 23:00:58 2018
@author: gauravkgupta
"""
import numpy as np
import pandas as pd
import re
def fill_na(df) :
""" Problem_1 : Fill missing values in column 'FlightNumber' of DataFrame Where values in this column need to be increased by 10 with each row."... | [
"noreply@github.com"
] | gaurav3384.noreply@github.com |
12b46b8ec88ad553c73e0119885f502290535082 | b58a3420ef081b1cea4accd09f48e51ebec1fb66 | /Gömülü Fonksiyonlar/GömülüFonks.py | 8d8c6f26b524d5da169f5d563736cea3c3b4d9fe | [] | no_license | Qhupe/Pythonda-gomulu-fonksiyonlar-ve-veri-yapilar-metotlari | c1d3fbb447f306fedd04a4e9c2cf5ccdb486f80b | 8355e72b6cf6b1eadbfda73511c2276b62339cae | refs/heads/main | 2023-04-19T20:23:06.792816 | 2021-05-08T01:03:57 | 2021-05-08T01:03:57 | 365,387,745 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,574 | py |
print("**************** MAP Metodu **************** ")
def double(x):
return x*2
s=list(map(double,[1,2,3,4,5,6,7,8,]))#burada map fonksiyonu içinde double fonksiyonunu
#çağırdık ve içine girdiğimiz liste elemanlarını göndererek s isminde bir listeye atadık
print(s)
a=list(map(lambda x: x**2,(1,2,3,4,5,6,7,8,9,... | [
"hupesat@gmail.com"
] | hupesat@gmail.com |
1cca9cef85ff96101fe84f0c54b6b314b37e5344 | 2ed993ed697e49d4a85f3868bcd85e3894d72e10 | /insertion_sort.py | fc1f2548e18e1d8c94787ed7a6a0ee41533357c0 | [] | no_license | eleanorhsu/sorting-algorithms | b5c3130589c9187a8af3d84213ef8eedd6d5192c | 65c38bcf5a8c17363e53e65e9f0e00b54b1b13d7 | refs/heads/main | 2023-05-31T03:58:58.573724 | 2021-07-04T12:51:59 | 2021-07-04T12:51:59 | 317,121,095 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 305 | py | def insertion_sort(arr):
for i in range(1, len(arr)):
for j in range(i):
if arr[i] < arr[j]:
arr.insert(j, arr[i])
del arr[i+1]
break
return arr
def main(input):
arr = input.split(',')
arr = [int(x) for x in arr]
print(insertion_sort(arr))
if __name__ == "__main__":
main(input()) | [
"eleanor.h.hsu@gmail.com"
] | eleanor.h.hsu@gmail.com |
134f979c0fc5edc79a4a6a7063a58844f4fd0536 | fa17ebb3511585f08a3ac30a7347edd61695a935 | /tfidf/TFIDF.py | c3c90471a1cf3cc65abff01d6b802aae826941b9 | [
"Apache-2.0"
] | permissive | 502ping/RetrievalBased_Chatbot | 3f407108459bb2349400f951e88211488955c505 | 07a1eaae0683dd0f6b31682ab2cf2c6c6733b413 | refs/heads/master | 2020-04-26T19:06:43.816327 | 2019-03-04T15:09:56 | 2019-03-04T15:09:56 | 173,763,824 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,486 | py | import jieba
from gensim import corpora,models,similarities
import codecs
#读取训练词库
Train_test = 'tencent_corpus/data.txt'
Traintest = codecs.open(Train_test,'rb').readlines()
Traintest = [w.strip() for w in Traintest]
# 分词完毕得到结果
Traintest_word = []
for word in Traintest:
words_list = [words for words in jieba.cu... | [
"46272447+502ping@users.noreply.github.com"
] | 46272447+502ping@users.noreply.github.com |
ea3cd162c0d901f2e544efeb63cbb797a5bb79b7 | 1d6512c1c8bc4e37943b64333c2f5cae741f1fa2 | /setup.py | 420d7ab186cf8e00c2501643ed2bea82011ac040 | [] | no_license | aepnat/scrapy_traveloka | 0505930c5e30c673fb4cf89ed1bbb925d01bfd7d | 8c7e91f4d73155a002252ef89cafe948fd095c7e | refs/heads/master | 2020-04-07T09:15:38.561741 | 2018-11-24T02:48:11 | 2018-11-24T02:48:11 | 158,245,715 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | # Automatically created by: shub deploy
from setuptools import setup, find_packages
setup(
name = 'project',
version = '1.0',
packages = find_packages(),
entry_points = {'scrapy': ['settings = traveloka.settings']},
)
| [
"aep.nat@gmail.com"
] | aep.nat@gmail.com |
48d86d1a6bbe9509b8147d9a60c08154a1e01a2e | 23e351955fbd6407b53a5604766bd28c0e5fd18a | /TSP Simulated Annealing.py | e192efc2cab6483b3a134c29f5ea750ebea29142 | [] | no_license | MedadRufus/Optimisation-Project-Design-Engineering | b85b90f8c961468d5373b5e0e2ae9adc3ecfd611 | 81407000f4fa4058622d9f8994c035668cafd489 | refs/heads/master | 2023-07-23T12:59:31.276980 | 2019-12-12T12:00:32 | 2019-12-12T12:00:32 | 218,971,390 | 0 | 0 | null | 2023-07-06T21:36:05 | 2019-11-01T11:18:02 | Python | UTF-8 | Python | false | false | 3,507 | py | # Created by Medad Rufus Newman on 12/12/2019
import numpy as np
from scipy import spatial
import matplotlib.pyplot as plt
import sys
#file_name = sys.argv[1] if len(sys.argv) > 1 else 'data/nctu.csv'
#points_coordinate = np.loadtxt(file_name, delimiter=',')
num_points = 16
points_coordinate = np.array([[0.181,14.9... | [
"medadrufus@gmail.com"
] | medadrufus@gmail.com |
90861679ad71262055147a504cc95fad10cfb496 | 9e504da68297149d99c66baab2b9939c21f20664 | /IntersectList.py | bb76f835f5cc9335ee8869601a672be283904ffd | [] | no_license | LeoTheMighty/beginner_python_exercises | 87690b9c7680860eec984417dbd4a17551a56856 | 0945c8a8c0f297b3a58a5e832bd41a8fc5126c1f | refs/heads/master | 2020-03-15T14:23:07.052989 | 2018-05-05T17:08:38 | 2018-05-05T17:08:38 | 132,188,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 272 | py | # Make a list intersector
a = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
b = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 88]
intersectList = []
for aelement in a:
if (aelement in b) and not (aelement in intersectList):
intersectList.append(aelement)
print(intersectList) | [
"leonid@ac93.org"
] | leonid@ac93.org |
adb7092b721162a83ad0df6b17753e5b4df2eadb | 8aebf052796b880fcef07fcbbb876a3bcc5c1924 | /Data Quality with Python for Beginner/Deduplikasi.py | 1abb3256bc147b65bc1705d640c6764ef3753e82 | [] | no_license | sultanardia/dqlab | e41420324105901b565af7acc540e7c8f135dea9 | 256a9ecee5522a1fd4a9a971a11a7b8fe4b40626 | refs/heads/main | 2023-04-14T07:43:44.620155 | 2021-05-01T10:50:42 | 2021-05-01T10:50:42 | 346,243,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | import pandas as pd
import numpy as np
import io
import pandas_profiling
retail_raw = pd.read_csv('dataset.csv')
# Duplikasi data merupakan data dengan kondisi pada row-row tertentu memiliki kesamaan data di seluruh kolomnya. Tentunya ada data yang duplikat dalam dataset yang dimiliki. Kondisi duplikasi haru... | [
"noreply@github.com"
] | sultanardia.noreply@github.com |
571d3d7ecc84ebbfb01d15f15d8896b925fcaff2 | eb28effe32371194d236531a6db56a28e5a83d50 | /products/migrations/0004_auto_20180110_0918.py | 9c5609788e265dbb2a8529478ce98bd57dc7c850 | [] | no_license | inno-asiimwe/udemy-django-ecommerce-justin | df3858f06f4ae0a6235ffc45564e6639cc34a7ae | 7c437836d3cc894582b258ef15dfd14cc6ef918f | refs/heads/master | 2021-05-13T16:13:41.025721 | 2018-01-15T14:43:48 | 2018-01-15T14:43:48 | 116,788,444 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 459 | py | # Generated by Django 2.0.1 on 2018-01-10 09:18
from django.db import migrations, models
import products.models
class Migration(migrations.Migration):
dependencies = [
('products', '0003_product_image'),
]
operations = [
migrations.AlterField(
model_name='product',
... | [
"innocent@Innocents-MacBook-Pro.local"
] | innocent@Innocents-MacBook-Pro.local |
48f6a582b57139777865caf27a6ba3f840b64e36 | 2a621e29ccdb965514b06cf9908fabae034f447d | /24. Lexicographic permutations.py | 09c5f4522a8591cde3855873dd4ed7ae85c0037a | [] | no_license | ZitingShen/Euler-Project | 9760e326e8be460d13caa08c59e57f343fc20594 | a77718e84b9cfaeb88cb8a96f67c22523703cbd6 | refs/heads/master | 2016-09-06T18:15:39.771114 | 2015-10-06T05:08:07 | 2015-10-06T05:08:07 | 26,204,323 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 777 | py | import time
start=time.time()
p=9*8*7*6*5*4*3*2
rest=1000000
nums=[0]*10
num=[]
for x in range(1,11):
if rest%p!=0:
t=0
i=-1
while t<=int(rest/p):
i+=1
if not nums[i]:
t+=1
num.append(i)
nums[num[x-1]]=1
print(nums)
re... | [
"zshen@brynmawr.edu"
] | zshen@brynmawr.edu |
d74fff88ba05004f13b29253044811a8d2b7d787 | 3249577773cf18e5c09ea36de62477ddb43b662b | /Python/flask_fundamentals/Disappearing Ninja/server.py | 91bc33c8de93b14123c980e0d252bf8f7f89d6c4 | [] | no_license | HollinRoberts/code | 5394abe2a7c42bbbe83d8f64a99c50a52f05792b | 8026522ab169c4174037fdf1b271de60b75d79bf | refs/heads/master | 2021-01-01T16:12:11.674680 | 2017-10-18T21:08:10 | 2017-10-18T21:08:10 | 97,786,418 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | from flask import Flask, render_template, request, redirect
app = Flask(__name__)
@app.route("/")
def index():
return render_template("index.html")
@app.route("/ninja")
def ninja():
return render_template("ninja.html")
@app.route("/ninja/<color>")
def ninja_color(color):
if color=="blue":
... | [
"hollinroberts@gmail.com"
] | hollinroberts@gmail.com |
c93bfa4ec6d9804ee16dbf65765c073e80ea463c | 552d6d8ceb9a88ebe9dfa5ba1c3572a41e029634 | /Exercise 9.9.py | 86f0566c852d9b3bcdceb214d19caab5db392ac3 | [] | no_license | Aguskurnia123/Agus-Kurnia-Akbar_I0320004_Abyan_Tugas-9 | 9df2356f8a3e0c1af78c34dad3c1c7d844cdaf59 | ab89d7c9ab87c5766de02ec4e25817e5904747c5 | refs/heads/main | 2023-04-16T22:37:10.157282 | 2021-04-30T23:54:17 | 2021-04-30T23:54:17 | 363,285,163 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 98 | py | import array
A= array.array('i', [100, 200, 300, 400, 500])
print(A)
A[1]= -700
A[4]= 800
print(A) | [
"aguskurnia123.ak@gmail.com"
] | aguskurnia123.ak@gmail.com |
d59c7349c687bb89df6ffe6c91d0cb52724efdaa | d4eb113c44c86322b3811513a7286d176f106eb6 | /experiments/variational_autoencoder/validation/compare_results.py | 9533452ba1c680b701a373947b1b8279453615c6 | [] | no_license | philip-brohan/Machine-Learning | 67a2eb780383b3436da4fef1d763f39d255ae696 | dc53b9c336d5f12272257f327abe49dec436ea04 | refs/heads/master | 2021-03-27T12:33:07.518279 | 2020-04-30T19:38:02 | 2020-04-30T19:38:02 | 56,614,781 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,113 | py | #!/usr/bin/env python
# Model training results plot
import tensorflow as tf
tf.enable_eager_execution()
import numpy
import IRData.twcr as twcr
import iris
import datetime
import argparse
import os
import math
import pickle
import Meteorographica as mg
import matplotlib
from matplotlib.backends.backend_agg import ... | [
"philip@brohan.org"
] | philip@brohan.org |
7ca108bd5b4ada0b7bc978f191396ec43af38fb5 | 77f49b5b03cccbe7527d6d2b15a94bfbe15f0ce8 | /tests/servo_bounds.py | 917fe36662b3bf8ea5aa6976b6f8749dd9a6524f | [] | no_license | skrub-wreckers/software | 9ac4bd8e67e54447e605b7b2b45a8278b31dde06 | 17b47ecf46dee192dd007543a958049eba03e690 | refs/heads/master | 2021-01-10T03:22:16.781029 | 2016-03-03T05:14:21 | 2016-03-03T05:14:21 | 49,020,868 | 0 | 0 | null | 2016-01-28T17:46:53 | 2016-01-04T20:22:59 | Python | UTF-8 | Python | false | false | 560 | py | from tamproxy import Sketch, SyncedSketch, Timer
from tamproxy.devices import Servo
class ServoWrite(Sketch):
"""Cycles a servo back and forth between 1050us and 1950us pulse widths (most servos are 1000-2000)"""
def setup(self):
self.servo = Servo(self.tamp, 10)
self.servo.write(2200)
... | [
"areill1337@gmail.com"
] | areill1337@gmail.com |
e470c8f99b1335a8c6db6aba0002956e696d280d | 4afc0d47446de2fc9fb53833912cd105d0cc3d21 | /25. Seaborn Exercises .py | 9eb711e17984c6db65619c50429ba8db28cd3aa1 | [] | no_license | MEng-Alejandro-Nieto/Python-for-Data-Science-and-machine-Learning-Udemy-Course | 7afa51edd36bdd452fccc639b354bd492ab6e5d9 | a03430c1d57cb022073395c7eb279eaf7807df4b | refs/heads/master | 2020-07-17T02:33:19.478323 | 2019-09-02T18:45:33 | 2019-09-02T18:45:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,886 | py | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
info=sns.load_dataset('titanic')
new_age=info['age'].dropna().apply(lambda x:int(x))
print(info.head(5))
#JOINT PLOT--------------------------------------------------------
#sns.jointplot(x='age',y='fare',data=info)
#DI... | [
"alejandrolive932@hotmail.com"
] | alejandrolive932@hotmail.com |
a2010a39af08d72a34b058f92fd12104c0aa8d29 | aa0cc19eedf38baca2ecef3de6f2a4c69ce68675 | /clld/scripts/postgres2sqlite.py | 168f94320038122afe286f29dcc8c331998e4f23 | [] | no_license | mitcho/clld | de84c54247138efa53ee5f68a87edc2a0ab06bbf | dcf5f063a44ac5167f677f05b2c66b0d094d4ff3 | refs/heads/master | 2021-01-18T09:56:18.486647 | 2013-08-23T15:13:18 | 2013-08-23T15:13:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,229 | py | """
python postgres2sqlite.py apics 2>&1 >/dev/null | less
Unfortunately this approach does not seem to work, thus, our only option is
intialize_db and making sure all db changes are done via alembic migrations.
"""
from subprocess import call
from importlib import import_module
import pkg_resources
import re
from tem... | [
"xrotwang@googlemail.com"
] | xrotwang@googlemail.com |
dcf71d21fdd4add75ba30e4eb9d4ccb386659a42 | 58d98167c804c5aac5a7688cd9a6142e58e307c6 | /boomerang/__init__.py | 0065754c22ece9a6ff4b6f8b780bc44ec97d588a | [
"MIT"
] | permissive | hxu/boomerang | bed7c9bdc3b8627f6693affd5253bd5f9afd1506 | 58604f9a3af0df34dcb2f9bb2fff9799df5b4c86 | refs/heads/master | 2020-05-16T21:24:29.837175 | 2013-08-28T09:34:28 | 2013-08-28T09:34:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,360 | py | from __future__ import division
import os
import re
import shutil
from itertools import chain
import sys
import time
from string import Template
from fabric.api import env, run
from fabric.api import put as fabput
from fabric.context_managers import cd
from fabric.contrib.files import exists
from fabric.exceptions imp... | [
"hgcrpd@gmail.com"
] | hgcrpd@gmail.com |
eafb45050bc3226b2600482f9fdd64110784abd1 | dac956439f6918b10026bdf051a952836ab1f5f6 | /todo.py | d9db1d28564b9071f4b923d37a47a0221e99cc49 | [] | no_license | sajja/mytask | fcde27f3d0c199c275b99da2426e13814110e135 | 7c394b64d14db6c7d92006db3c271bba24780da5 | refs/heads/master | 2021-01-15T12:19:07.298249 | 2014-08-17T10:12:04 | 2014-08-17T10:12:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,585 | py | from index import Index
from datetime import datetime
from datetime import timedelta
from time import sleep
from parser import ParserFactory
from print_plugin import TextDecoratorPlugin, PaddedDecoratorPlugin, ConkyColoredDecoratorPlugin, HumanizedDatesPlugin, \
TrimLongNamesPlugin
import pynotify
import argparse
... | [
"sajiths@pagero.com"
] | sajiths@pagero.com |
ad369ea3b68e110460ac6a271338682c626d5bb4 | 61af9e5a827caf4ec9b570f70a66a682d542db31 | /FLASK_TUTORIAL/FLASK/Large_Application_Structure/myproject/owners/views.py | 24dce0920f47d855fe6f6e73e9cd62a43a27290f | [] | no_license | mdshadanaltmash/FLASK_TUTORIAL | cda1b90f96e833a78bacf444353fb104e51246d5 | 5de5ce2a0f73c7e9319f3ca2d4069e94d2f1bd63 | refs/heads/main | 2023-03-08T08:09:01.008006 | 2021-02-24T19:00:13 | 2021-02-24T19:00:13 | 313,091,120 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 635 | py | from flask import Blueprint,render_template,url_for,redirect
from myproject import db
from myproject.models import Owner
from myproject.owners.forms import AddForm
owners_blueprints= Blueprint('owners',__name__,template_folder='templates/owners')
@owners_blueprints.route('/add',methods=['GET','POST'])
def add():
... | [
"mdshadanaltmash44@gmail.com"
] | mdshadanaltmash44@gmail.com |
6a883081299d8849dfc6919f02c3fe13b52b3176 | c0f3c5a65397d0daaf705d74e22e34c0219ffedc | /stage/models.py | d440f70382629acb548560408ccececbaa9ff0d7 | [] | no_license | zhulongcao53/mysite | d76d104e4cd4e2ee0332f7415ae2bbfe26534c4c | 9b66bdc396de616ee8d7b8d2fc2010e3fb50034c | refs/heads/master | 2020-12-25T14:24:15.560923 | 2016-07-13T14:28:01 | 2016-07-13T14:28:01 | 63,251,921 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,512 | py | #-*- encoding: utf-8 -*-
from django.db import models
from django.contrib import admin
from DjangoUeditor.models import UEditorField
# Create your models here.
class BasicInfo(models.Model):
ipadd = models.IPAddressField(verbose_name = u'IP地址')
cpu = models.CharField(max_length=255, blank=True, verbose_name = ... | [
"zhulongcao53@163.com"
] | zhulongcao53@163.com |
47b448f166ccbe4e48f156b557246c0253abdf2e | 9782c4e9d348f1afac506ee89885be685074b1f7 | /portal.py | 0cf24c53ce4d0a5c27685966c4175b4a37d90241 | [] | no_license | shpingsun/OCIPA | 1d20a7d0aeaeb1f0d79d141a3ff83fdee4a219d3 | becbde75765b8f732d0bfb83f66e4d5d201cd476 | refs/heads/master | 2020-04-15T16:07:15.767007 | 2018-12-24T09:25:55 | 2018-12-24T09:25:55 | 164,821,002 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 57 | py | msg = "资产云开放协同创新中心"
print（msg）
| [
"panzhaohui@msn.com"
] | panzhaohui@msn.com |
f60880e5d4192b5bcbd9bd669c188d6935c9d098 | 4bee31f6a823fb1aebbd3dfe1d163aa0b1d41a7c | /seata/registry/FileRegistry.py | 460f4982eb6b95f9f7bcc623f50e55a313c15d63 | [
"Apache-2.0"
] | permissive | rohankumardubey/seata-python | 92532d1e8f8c961f2317aa8c23e2f53fe07711e9 | 66fb3382217a43effa3d1bc5ec2b62204d499dba | refs/heads/master | 2023-08-17T08:29:12.603412 | 2021-09-27T06:04:56 | 2021-09-27T06:04:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,249 | py | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @author jsbxyyx
# @since 1.0
from seata.config.Config import ConfigFactory
from seata.core.rpc.Address import Address
from seata.registry.Registry import Registry
class FileRegistry(Registry):
config = ConfigFactory.get_config()
def __init__(self):
pass... | [
"jsbxyyx@163.com"
] | jsbxyyx@163.com |
cd0d8e561666d128b2ea7436f62b9116e824dd80 | 21d31c95db167b5b042824d1ab1993d55771fd77 | /ch4/utils/logger.py | dfa267bb5d83d58066198fb360daba907de0b500 | [] | no_license | wangxiao9/appium_demo | 4350dfe93a1f0528fc016e8b1e798f5b1444c9e4 | bbd56991d9f648edc53af9937d75a72b292a4e4b | refs/heads/master | 2022-11-30T02:47:07.617001 | 2020-08-12T07:19:04 | 2020-08-12T07:19:04 | 285,777,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 623 | py | __author__ = 'wangxiao'
import logging
formatters = '%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s'
datefmt = '%a, %d %b %Y %H:%M:%S'
filename = '../log/test.log'
logging.basicConfig(level=logging.DEBUG,
format=formatters,
datefmt=datefmt,
... | [
"xiaoqian.zhang.ext@siemens.com"
] | xiaoqian.zhang.ext@siemens.com |
ab7a74055b83f59b60f3e2692de2f2d3a6d45b00 | 2f551b40db8dfec546ee229fd52957dc72de9137 | /fibonacci.py | 6da798636d83db68028ed7fdae1c7b7dfb865b31 | [] | no_license | Wikkan/Fibonacci | 45d260a1c2e7d82ea7727f467ea4713b8357e25d | fc846d6f03bc0b48eeb792833be558e0eecbd32b | refs/heads/master | 2020-04-06T17:04:51.599356 | 2018-11-15T03:49:33 | 2018-11-15T03:49:33 | 157,645,826 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 175 | py | from flask import Flask
app = Flask(__name__)
@app.route('/')
def fib():
n = 10
a = 0
b = 1
for x in range(n):
a, b = b, a+b
return a
| [
"josuji-alfa@hotmail.com"
] | josuji-alfa@hotmail.com |
3f513443bd4d9dfff4f056d83b3dbe2b8ef78504 | 24be96793d7c050b31936252e0f3ef809a7b7a32 | /commands/agc_roi.py | 95910dd42fe1ff10c5482ac887e1f22a3fefeb2a | [] | no_license | CraigKnoblauch/tau-2-emulator | 7041b3ead7b693c5e3b2762f6c7a72bb4989aed8 | 1051e1b93fa1c37101649c9ad175719f048bf88d | refs/heads/master | 2021-01-01T17:18:54.107882 | 2017-08-22T18:28:44 | 2017-08-22T18:28:44 | 98,044,874 | 1 | 0 | null | 2017-08-21T00:44:21 | 2017-07-22T16:48:50 | Python | UTF-8 | Python | false | false | 39 | py | def AGC_ROI(settings, reply):
pass
| [
"craigknoblauch@gmail.com"
] | craigknoblauch@gmail.com |
a06e048a185a9d0251f8d18dda29718efb09a160 | 462e52636f351a30da5bf2159bc9b30719bbe79b | /stuff/finished libraries/pytorch/_torch_docs.py | 5737af3d182faaa9e7a7cddb16dc5de740dcd382 | [] | no_license | SoutiRini/Top-20-Python-Libraries | c27b1ae77e11209bfe97405f8e324c54d4d49db4 | 1adcc6255dc59b25a831df2d23fa759e1e7c3264 | refs/heads/master | 2022-12-08T11:09:19.587218 | 2020-08-28T22:16:41 | 2020-08-28T22:16:41 | 291,153,411 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 267,122 | py | """Adds docstrings to functions defined in the torch._C"""
import re
import torch._C
from torch._C import _add_docstr as add_docstr
def parse_kwargs(desc):
"""Maps a description of args to a dictionary of {argname: description}.
Input:
(' weight (Tensor): a weight tensor\n' +
' So... | [
"auau@oregonstate.edu"
] | auau@oregonstate.edu |
bf2364bce092239e91cfc27cd4a483dba41eb9d2 | 5164e4ccb0cfb2b16ba3805b7e5a05ed4153a245 | /Lab03/GraphQL.py | 96210aafd9af8a39d0e1b5ee7c6d3b8c0e2639ab | [
"Unlicense"
] | permissive | Zuquim/smelly-octopus | 538c40f36304306f01a3a8cfa0e462f1ee2ad58b | c9e2959a95b5d5c4b0a25c6c6987b63a9d1984f2 | refs/heads/master | 2023-08-21T18:10:25.629871 | 2020-05-15T18:25:44 | 2020-05-15T18:25:44 | 240,612,179 | 0 | 0 | Unlicense | 2023-08-11T19:53:17 | 2020-02-14T22:51:27 | Python | UTF-8 | Python | false | false | 3,844 | py | from csv import writer
from json import dumps
from requests import post
import time
headers = {"Authorization": "token "}
repositoriesQuery = """
query repositoriesQuery {
search(type: REPOSITORY, first: 100, query: "stars:>100 created:>=2016-01-01 language:python"{AFTER}) {
pageInfo {
hasNextPage
e... | [
"isabelaedilene@gmail.com"
] | isabelaedilene@gmail.com |
3d6cccf8ef1c1c59e686fc0a6389770283a33d32 | 2dd34eabb729be2c0574b7422c545d7fea67822e | /gridlayout.py | 18aedcaf572124c8c95d6f06a6f3f83b08387e34 | [] | no_license | Dhruv2012/GUIBasics_python | 2206fb082c1db16b9e5be7b40df871b754e11242 | 53db37b2fa164cbf8db088b00f3e96f7e9e39f6a | refs/heads/master | 2020-03-17T07:41:18.322369 | 2018-05-17T17:08:45 | 2018-05-17T17:23:06 | 133,408,591 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | from tkinter import *
root=Tk()
lable1=Label(root,text="username")
lable2=Label(root,text="password")
entry1=Entry(root)
entry2=Entry(root)
lable1.grid(row=0)
lable2.grid(row=1)
entry1.grid(row=0,column=1)
entry2.grid(row=1,column=1)
root.mainloop() | [
"dhruv.r.patel14@gmail.com"
] | dhruv.r.patel14@gmail.com |
efaf5827b686a2a2c8b12a2e327f2178fa269f5c | 7954d761dde104a9d977006c514ff976a9c88444 | /backend/menu/migrations/0001_initial.py | a6a707da319ae2e8ae9d0ffbe9ae598eb1ac1002 | [] | no_license | crowdbotics-apps/firebase-25585 | 3c693fee6f6e75805fe5b8d40f24ee6b137e29e3 | 5473848fbdad0683030c8f3bd64d03fdc4a1382c | refs/heads/master | 2023-04-05T13:07:26.443879 | 2021-04-09T10:28:31 | 2021-04-09T10:28:31 | 356,229,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,144 | py | # Generated by Django 2.2.19 on 2021-04-09 10:26
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('delivery_user_profile', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
4ed37678ade84f7abe6e3189d8fe998df02a293e | 8e705a0887ad6311b096d537bf977e6cdd5e3fbb | /test78.py | 9b4d7e4e8a6213b77e7b6c2126448cbbb7a05f97 | [] | no_license | xfx1993/goto1000 | b2269e2c778c30ff055c246d6565b7c86c3e0f95 | d1a08ddeb06423bb23e8c22c88b3fde048e86b46 | refs/heads/master | 2022-12-19T13:47:16.038909 | 2020-09-30T02:39:49 | 2020-09-30T02:39:49 | 299,791,027 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 538 | py | def maxChunksToSorted( arr):
"""
:type arr: List[int]
:rtype: int
"""
size = len(arr)
rightmin = [0 for i in range(size)]
curmin = arr[-1]
for i in range(size - 1, -1, -1):
curmin = min(curmin, arr[i])
rightmin[i] = curmin
leftmax = arr[0]
count = 0
for i in... | [
"1064222854@qq.com"
] | 1064222854@qq.com |
ee0608d85e3d44cb755901e6aa79d6964ff34242 | 72ddc142197b20ea9dec88c40d46448b56aa4f1c | /350. Intersection of Two Arrays II.py | 7fff6aae29dbd5d4934154cc27fefa23ff2f4bb4 | [] | no_license | dattnguyen/Leetcode_exercises | ee6a4325b47f8a07844bbb84511b1e158edfc7ac | d74d8987f07dcfd4e02348385f88381802adb1aa | refs/heads/master | 2022-12-31T10:15:31.443277 | 2020-10-09T20:28:56 | 2020-10-09T20:28:56 | 267,236,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 567 | py | # # Given two arrays, write a function to compute their intersection.
# Note:
#
# Each element in the result should appear as many times as it shows in both arrays.
# The result can be in any order.
def intersection(nums1, nums2):
hmap1 = {}
hmap2 = {}
res = []
for i in nums1:
hmap1[i] = hmap1.... | [
"tiendat.ams@gmail.com"
] | tiendat.ams@gmail.com |
2973c8a04aa45789fe2dd63d8482dcf76c80e95b | 53440fe1e7370b564d3e1161a2a39bd99425f2f7 | /fairing/constants/constants.py | 703f260d7848b679e869cb80c980ec0ea0265a54 | [
"Apache-2.0"
] | permissive | karthikrajkumar/fairing | a89123c0c1385f691bb8d2b301926360c9e70ed3 | 4f9e007365101443e1230ee206980ed6014f7d31 | refs/heads/master | 2020-06-24T01:11:10.950976 | 2019-07-22T03:06:52 | 2019-07-22T03:06:52 | 198,804,843 | 0 | 0 | Apache-2.0 | 2019-07-25T09:51:13 | 2019-07-25T09:51:13 | null | UTF-8 | Python | false | false | 1,125 | py | TEMP_TAR_GZ_FILENAME = '/tmp/fairing.layer.tar.gz'
DEFAULT_IMAGE_NAME = 'fairing-job'
DEFAULT_BASE_IMAGE = 'gcr.io/kubeflow-images-public/fairing:dev'
DEFAULT_REGISTRY = 'index.docker.io'
DEFAULT_DEST_PREFIX = '/app/'
DEFAULT_CONTEXT_FILENAME = '/tmp/fairing.context.tar.gz'
DEFAULT_GENERATED_DOCKERFILE_FILENAME = '/tm... | [
"k8s-ci-robot@users.noreply.github.com"
] | k8s-ci-robot@users.noreply.github.com |
6be9e8beae39fefab37a0fbd3fd23aa4d225175f | 255f4237b7ce5bce17699f408d5cfcc0cf7cd738 | /sightings/migrations/0002_auto_20191202_0600.py | afec6f0d3fe995fe3b2c6c74a3323a9258da0e9c | [] | no_license | evo0522/squirrelTracker | d2325b3890794ca157354965fd70228eccd3e67f | 8fcb99171836d61db54ab499f076f7c773251fb1 | refs/heads/master | 2020-09-16T17:09:17.433298 | 2019-12-08T20:09:43 | 2019-12-08T20:09:43 | 223,833,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 708 | py | # Generated by Django 2.2.7 on 2019-12-02 06:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sightings', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='squirrel',
name='Age',
... | [
"evonnewyh@gmail.com"
] | evonnewyh@gmail.com |
c2f320d96653b374d960eeb2812f0403e6736f6f | ae74ba8c272fe5d534e73a6069dc650dc3ff49fd | /train_rnnt.py | d01e774ff3ac421601e1e4f406331e29a6805a55 | [
"MIT"
] | permissive | jackson1895/beautifulday | cabdf971102eac50d287899d1a72179bfe651b33 | 8efd27e916c8c579c4a9893c69d8847b7c23be18 | refs/heads/master | 2020-07-12T03:37:11.943220 | 2019-08-27T14:27:59 | 2019-08-27T14:27:59 | 204,707,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,074 | py | import json
import os
import argparse
import numpy as np
import random
import misc.utils as utils
from utils import loadData,averager
import opts_only
import torch
import torch.optim as optim
from torch.nn.utils import clip_grad_value_
from dataloader_only import VideoDataset
from misc.rewards import get_self_critical_... | [
"jackson.li.cs@gmail.com"
] | jackson.li.cs@gmail.com |
f2f172726f7409004608358b7923d9c40cd45686 | 280aa61ccadbf6c0838533c52e3c6b2ba2effd46 | /P4HW3_TuitionIncrease_DilshodSadiev.py | 47865a657a39a76a363d6227590b51880c748c62 | [] | no_license | Sadiev/cti110 | d61341d4346f8c4a6c826b919b218944b14a330e | e2a59a7802e7720706599aaedcc52ebf5b3e5724 | refs/heads/master | 2020-03-27T19:02:52.311334 | 2018-10-08T00:01:10 | 2018-10-08T00:01:10 | 146,962,340 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 688 | py | # This program displays tuition amount witch increase by 3 percent each year for the next 5 years
# 09/21/2018
# CTI-110 P4HW3 - Tuition Increase
# Dilshod Sadiev
#
# initialize accumulator variables
tuition=8000.00
year=2018
print('The tuition for a full-time student is $8,000 per semester.\nThe tuition wi... | [
"noreply@github.com"
] | Sadiev.noreply@github.com |
6a103aa08789bda13b1472feb7e02f086288959c | 00e89be3c036ec45ac385f87989e5517bed108c9 | /add.py | 547936b3f478b0cdf31191c62a1b2a8504d5f819 | [] | no_license | sehgalvalue/addrep | c1c946adfcb1add9a63e9358b55ac37b7a099566 | 11501263d109702c2bb7833283a22d96382265c3 | refs/heads/master | 2020-04-28T18:49:26.820449 | 2019-03-13T20:27:37 | 2019-03-13T20:27:37 | 175,491,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 27 | py | a = 5
b=6
c = a+b
print(c)
| [
"noreply@github.com"
] | sehgalvalue.noreply@github.com |
a0321890fdf0babae23c4b46e7dca8a0e7afbf90 | 60dff076fae5d36af71af1066ac7eb4f833d2f2f | /tools/ci_build/github/apple/c/assemble_c_pod_package.py | 18dc8a19d23ceffa99f30900c4c998c464d550e2 | [
"MIT"
] | permissive | NervanaSystems/onnxruntime | 79e60f9c6feb8c147868d27de8077a276755cc90 | 96b3c09e2a5e0a5b4f98ed9059a719d9c7b73724 | refs/heads/master | 2023-06-22T02:55:35.250834 | 2023-01-03T22:54:46 | 2023-01-03T22:54:46 | 162,268,647 | 1 | 3 | MIT | 2021-01-14T12:56:23 | 2018-12-18T10:09:13 | C++ | UTF-8 | Python | false | false | 2,687 | py | #!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import argparse
import pathlib
import shutil
import sys
_script_dir = pathlib.Path(__file__).parent.resolve(strict=True)
sys.path.append(str(_script_dir.parent))
from package_assembly_utils import ... | [
"noreply@github.com"
] | NervanaSystems.noreply@github.com |
3a71ff09d8ee1fd3cb59d725a4825d66ebfb00cf | c9a3f0e2d9f79860ba5124db288cb4dc70fa4124 | /plots/plot_pocket_controller_autoscaling.py | 6500b7363881c75f5378dafa1f6ee54c494431f6 | [] | no_license | anakli/pocket-controller | 2b7605fa4b82b10252ed7a91d22d7d2cef2b2c81 | f163c7175c93eaa617210d35ccd267ad912d8aae | refs/heads/master | 2020-03-09T04:08:39.926455 | 2018-12-25T03:44:25 | 2018-12-25T03:44:25 | 128,580,226 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,502 | py | import pandas as pd
import sys
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from matplotlib.text import OffsetFrom
#python plot_pocket_controller_autoscaling.py sort1-video-sort2-WORKS-util-v2.log
#time net_usedMbps avg_cpu dram_usedGB net_allocMbps dram_allocGB
plt.rcParams.update({'font.size': ... | [
"ana.klimov@gmail.com"
] | ana.klimov@gmail.com |
dd97094e0e53418b16229ca0ca1a5efacd5e520f | 1b53325f6976bd2697f1d9678054b8a1e5dd059c | /update/without_expansion/2.run_calculate_concept_map.py | d0f902e4761716435b798ad4bda40a5255298bc5 | [
"MIT"
] | permissive | vsoch/semantic-image-comparison | d34150b4fed36d55f934e727297ee188951e3ed9 | ab029ad124fc6d6e7ae840c24a8e9471d8737525 | refs/heads/master | 2020-04-06T07:04:21.726094 | 2016-08-13T23:13:10 | 2016-08-13T23:13:10 | 48,921,431 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,208 | py | #!/usr/bin/python
from glob import glob
import sys
import pandas
import os
# Classification framework
# for image1 in all images:
# for image2 in allimages:
# if image1 != image2:
# hold out image 1 and image 2, generate regression parameter matrix using other images
# generate predicte... | [
"vsochat@stanford.edu"
] | vsochat@stanford.edu |
65865ddc117140f9817ea18ddb903ec6a8ae3cfc | 3c8a7554fe61c5794f0bb6523fa9942680fda876 | /chp7/lib/python3.6/hashlib.py | 741c4f0c473f1dff3b49733b5404b00e4d2383d7 | [] | no_license | porte404/Assignment4_ESS520 | 9d6cb3604c67a35771c66fe43405cb7ed6bef848 | f0ff28cf1d94524da55fbb545b2a0fb0372e2b30 | refs/heads/master | 2021-01-25T09:14:16.822355 | 2017-06-08T23:46:52 | 2017-06-08T23:46:52 | 93,798,533 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 49 | py | /Users/matthew/anaconda3/lib/python3.6/hashlib.py | [
"porte404@uw.edu"
] | porte404@uw.edu |
83f8eb10ba1e92f6e90b7448980c213b30724c5a | 560d01d2c1f15410d0fd0ab8e402a5bbf8956eff | /sports_predict.py | 311da9b33a189304b58a067fd7c341766d081c69 | [] | no_license | Roland-coder/streamlit-app | 63b4a1e5289cc267121b42f43372bb6eb6197dc6 | 21f9de4598b9d0697610efd803a87eab711d590b | refs/heads/main | 2023-08-24T21:18:52.547215 | 2021-10-27T08:13:56 | 2021-10-27T08:13:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,824 | py |
import streamlit as st
import pandas as pd
import pickle
import numpy as np
from PIL import Image
from smart_open import smart_open
# model = pickle.load(open('final_model.save.pkl', 'rb'))
st.title("Sports Predict App")
st.header("Sports Performace Prediction")
st.write("This web app predicts the overall performanc... | [
"noreply@github.com"
] | Roland-coder.noreply@github.com |
587618aea91148466d133ac9a83beda798de79ca | f4099d60ad515c444e6814c9879939af70d567f1 | /calc_ca.py | 8bd206f53881b0c01f3e36f26844bd2b2c414fe5 | [] | no_license | atelierkarin/fm-j-league-data-reader | 6af8cef349e4cb971163462c5a2605ee29256494 | ccf461cabc45f215c92c4d1088b2597316fab73a | refs/heads/master | 2022-09-13T12:36:28.551693 | 2020-05-23T08:52:13 | 2020-05-23T08:52:13 | 260,946,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,013 | py | import pandas as pd
import numpy as np
import pickle
df = pd.read_csv('raw_data.csv')
df['平均クラブ勝点'] = df['クラブ勝点'] / df['試合数']
df['平均試合出場数'] = df['試合出場数'] / df['試合数']
df['平均得点'] = df['得点'] / df['試合数']
df = pd.get_dummies(df, columns=['POS'])
# Data with CA
df_with_ca = df[df['CA'].notnull()]
from sklearn.model_sele... | [
"atelierkarin@gmail.com"
] | atelierkarin@gmail.com |
0f740d27d674e2a6797cc7ad1e2ca972ce4a70f1 | 37307ea56d688297f5655ff844a44fcd4d713f52 | /偶数.py | 16ce4328f38534c1a039bf09decac1058662a3d7 | [] | no_license | know-c0de/python | e8b07784ce914745dbeff143776089408105885e | e031d5a3ddec804205a0600aea489f9ed1e0ec9c | refs/heads/master | 2021-01-10T18:40:45.932567 | 2013-12-12T06:15:30 | 2013-12-12T06:15:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 655 | py | #!/usr/bin/env python2.7.6
#coding=utf-8
#
#Copyright 2013 the Melange authors.
#
#You may obtain a copy at
#
# https://github.com/know_c0de/python/
#
#Author:know_c0de
#Time:2013.11.13
#E-mail:xxxxxxxx@qq.com
#Unless required by applicable law or agreed to in writing, software
#distributed under the license is distrib... | [
"code.sec01@gmail.com"
] | code.sec01@gmail.com |
e7468ca344e3696d679e74b70eaea262c3f43a78 | fa60288b43e02dd1ef392ab16d8efc91468e438e | /Python Programs/csv_reader.py | 2ad9c25f1e48861ef5f712592931e990813824e3 | [] | no_license | manjot-baj/My_Python_Django | 42fa5adc223888a16c3f4f017a9200cb4567d02d | 43dbe17f7588bbc0ae60e403eec3a3788ebcfb36 | refs/heads/master | 2023-01-19T03:21:18.584091 | 2020-02-14T07:44:10 | 2020-02-14T07:44:10 | 232,131,850 | 0 | 0 | null | 2022-12-26T20:33:03 | 2020-01-06T15:41:27 | CSS | UTF-8 | Python | false | false | 256 | py | from csv import reader
with open("file.csv","r") as file_csv:
with open("file1.csv","w") as w_csv:
csv_reader = reader(file_csv)
next(csv_reader)
for k,v in dict(csv_reader).items():
w_csv.write(f"{k} : {list(v)}\n") | [
"bajwa.mj78@gmail.com"
] | bajwa.mj78@gmail.com |
7615302a3a6fa18b13dcc63cd0808b3928d4bd4c | 5f801f2a34e97338591e0830fb9ba8e242a6a2b4 | /DSProject1/WebScraper.py | 2e1c132471199ddb3758e9ba7e2ce126fae99efb | [] | no_license | wesleymerrick/Data-Sci-Class | 15b7ee1f60c1ac75b6d9d8df377f530a2070221d | ff2a66c52879f7c016df7d3bc4aa94ce3bce698f | refs/heads/master | 2021-01-23T17:05:04.416498 | 2017-09-07T16:07:57 | 2017-09-07T16:07:57 | 102,756,971 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,106 | py | from __future__ import print_function
from bs4 import BeautifulSoup
import urllib
import re
# WebScraper.py
# Toby Duncan and Wesley Merrick
# COSC 480 - 01
# Mini Project 1
# 2/10/17
# List that holds the url's for each of the articles to scrape
my_url_list = ["http://www.theonion.com/article/sixth-super-bowl-win-co... | [
"wesleymerrick@gmail.com"
] | wesleymerrick@gmail.com |
8b119fb23c23050586e6ff415a734bd89f1705a3 | e14775b035a71ad814d724abea0e41b3a9238ea4 | /toSetDefaults.py | 252225fb521f81db280a1cfbe2c04fefbc6a6042 | [] | no_license | haris314/book-review | 6aec307cc5727e4299be9eb0d90f799b2ffda04a | dfc6efd62629c312bbd20fca04c0f7b09e4eb1a2 | refs/heads/master | 2023-02-17T22:07:40.322878 | 2022-11-04T16:46:14 | 2022-11-04T16:46:14 | 213,733,741 | 1 | 0 | null | 2023-02-15T23:07:47 | 2019-10-08T19:25:08 | HTML | UTF-8 | Python | false | false | 1,372 | py | from extraLogic import shouldBePreFormatted
import psycopg2
try:
connection = psycopg2.connect(user = "acpntihfuaixij",
password = "0d4d9e9d7d7c4f424ddd2c3056b12ff2f187e2d6d1316fa6717e82cc8e9d473b",
host = "ec2-174-129-227-146.compute-1.amazonaws.c... | [
"hrs.haris.hrs@gmail.com"
] | hrs.haris.hrs@gmail.com |
8a377e8d6ee0c16df50b175edee94deac516db51 | 1d85ee8d3a5ce672cb1fe77ce48f59e4b8d38402 | /frontend/frontend/__init__.py | c66a7e548ded592eb9a8b9e1c40e4fb759ae54fe | [] | no_license | thomastodon/hello-gsa | cad382bb083e1d91a072d461fa4fac5d1f68c0b6 | 1300818466cc97f56b470e481e4ebde2351a44af | refs/heads/master | 2021-05-01T03:33:32.013857 | 2016-09-19T01:55:13 | 2016-09-19T01:55:13 | 64,556,217 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 84 | py | import os
from flask import Flask
app = Flask(__name__)
import frontend.views | [
"thomas.shouler@gmail.com"
] | thomas.shouler@gmail.com |
f44574379435b1f2cd4ce38956cd022587c8a169 | f64fde1c4ae338987b76c10c1029468143f1d83a | /Test_programs/stacking_arm/main.py | 86a75d8333a3fe74d564dc64820892d75fccba01 | [] | no_license | abhijithneilabraham/Project-ANTON | 56a21941042034c9c2b407e25d4e75925a158e71 | 03478d9c9a537c2507a06e3c022a1092587cdc06 | refs/heads/master | 2023-04-01T21:01:14.568164 | 2020-05-01T14:19:24 | 2020-05-01T14:19:24 | 203,203,760 | 2 | 0 | null | 2023-03-24T22:42:40 | 2019-08-19T15:52:11 | Python | UTF-8 | Python | false | false | 1,285 | py | """
Make it more robust.
Stop episode once the finger stop at the final position for 50 steps.
Feature & reward engineering.
"""
from env import ArmEnv
from rl import DDPG
MAX_EPISODES = 900
MAX_EP_STEPS = 200
ON_TRAIN = False
# set env
env = ArmEnv()
s_dim = env.state_dim
a_dim = env.action_dim
a_bound = env.action_... | [
"abhijithneilabrahampk@gmail.com"
] | abhijithneilabrahampk@gmail.com |
19c0c8ba1f422877c884266898a022af1615d25e | dc666a49ef6e75546ab60251ea025a9b183713e3 | /products/migrations/0041_autovoisin.py | 1f65ee2b756d1aa6bda0aeb376787685be67de52 | [] | no_license | cash2one/source | 6c4503f8d05eaa149a278d4f81c80e289d6e5e61 | 61e082814d25c81007a2ff0cfae7f3a06c8c291d | refs/heads/master | 2021-06-18T03:52:56.445654 | 2017-06-13T12:20:55 | 2017-06-13T12:20:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41,368 | py | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
class Migration(DataMigration):
depends_on = (
("accounts", "0044_autovoisin"),
)
def forwards(self, orm):
eloue_site_id = 1
... | [
"elena.lilac@gmail.com"
] | elena.lilac@gmail.com |
96a2c8ceb28ab064438abaa8b14ad96c713bff9c | b1d921644161105c3fa12d51702565a22b3e0d1e | /typeidea/blog/migrations/0001_initial.py | 84095c3a37f3779d83ece9dee0a3985fb3718f2e | [] | no_license | FATE-0/blog | 01e74a1f105ea2fc1b27e69be376ce4270e32f13 | fca878f68f8dc67a4e8b75d9c8f109d6e820375d | refs/heads/master | 2020-06-19T10:17:35.152719 | 2019-07-19T11:17:26 | 2019-07-19T11:17:26 | 196,675,430 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,347 | py | # Generated by Django 2.2.3 on 2019-07-14 08:23
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),
]
ope... | [
"eric@example.com"
] | eric@example.com |
79ce3d8730d723b0fcac829ec4d82d885bbddb31 | a2e638cd0c124254e67963bda62c21351881ee75 | /Extensions/StructuredProductsDealPackage/FPythonCode/SP_TrfExerciseCalculations.py | 908ccec668aabaa4a82d6a6f0e52e0a4cb029113 | [] | no_license | webclinic017/fa-absa-py3 | 1ffa98f2bd72d541166fdaac421d3c84147a4e01 | 5e7cc7de3495145501ca53deb9efee2233ab7e1c | refs/heads/main | 2023-04-19T10:41:21.273030 | 2021-05-10T08:50:05 | 2021-05-10T08:50:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,027 | py |
#***************************************************************
#
# Module calculating the settlement amounts
#
#***************************************************************
import acm
from SP_TrfUtils import BuySellMapping, TrfHasBarrier, TrfExpiryEvent, TrfExpiryEventsSortedByDate
from SP_DealPackageHelper im... | [
"nencho.georogiev@absa.africa"
] | nencho.georogiev@absa.africa |
416fe336e3a5e6b20ac4785817ca044c4211e1a3 | 94d1a15d9696d42667ffce54a3efcb001afb65c8 | /filtre.py | 5cd639507b463961414ceb1c42ec722bd25d1960 | [] | no_license | eren4321/pypr | 4a8d0e2e26368c4debfb1e74bc00484a799c40ed | 8ca77d1480e0f87b511d33e3199effb97dd2b27e | refs/heads/master | 2020-04-15T04:51:18.633517 | 2019-04-15T14:44:21 | 2019-04-15T14:44:21 | 164,398,691 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,686 | py | import pymongo
from pymongo import MongoClient
import io
import json
connection = MongoClient('localhost', 27017)
db = connection.mydatabase
collection = db.hurriyet
a = db.hurriyet.find().limit(10).sort([("retweet", pymongo.DESCENDING)])
b = []
# for follower in a.sort('follower_count',pymongo.DESCENDING)... | [
"noreply@github.com"
] | eren4321.noreply@github.com |
5e663842171e42b585b3f5adb7e25d0e60cb9a90 | a8c1e1d90579828a95a3ff03fb45805219894daa | /Modulo6/accedientoArchivos/readLine.py | 282bcb7193d9f3fcd67398ac141da6173093bb9d | [] | no_license | grimapatroy/Python_NETACAD | 6f5db9596b7ad05b35b20403b0f382fad54bfd4f | f1a36714c22e4a83ef0d208e1a9420c0b34fd5ab | refs/heads/master | 2023-08-16T23:30:15.999909 | 2021-09-16T18:27:35 | 2021-09-16T18:27:35 | 404,426,534 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 854 | py | from os import strerror
try:
ccnt = lcnt = 0
s = open("C:\\Users\\Humanitroy\\Desktop\\file.txt", "rt")
line = s.readline()
while line != '':
lcnt += 1
for ch in line:
print(ch, end='')
ccnt += 1
line = s.readline()
s.close()
print("\... | [
"lenin.coste@gmail.com"
] | lenin.coste@gmail.com |
a264914ada26cf2cef65b45470569fb9c72b51bb | 01dc09fdf4a9203da336b893650235f16ff5380f | /Backtest/Historical_BackTest/Neat/tf_neat-trader-intraday/no_hidden_layer/Tech_Input/simple/genome_test.py | 91c0fbe7c5d8937396ad29d1897557fa3872d7e4 | [] | no_license | webclinic017/RayTrader_v3 | 2b15228881bf7a08e90682a2364905317c282f65 | 2ea39946a2654dbc3b05b41abcaf5a4a4082a1b6 | refs/heads/master | 2023-03-16T04:40:41.392465 | 2019-06-04T04:46:46 | 2019-06-04T04:46:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,544 | py | import glob
import multiprocessing
import trader_env
import trader_data
import visualize
import reporter
from statistics import mean
import numpy as np
import neat
import pickle
import matplotlib.pyplot as plt
file_name = "G:\\AI Trading\\Code\\RayTrader_v3\\HistoricalData\\Min_data\\ADANIPORTS-EQ.csv"
data = trader_... | [
"rayanup3@gmail.com"
] | rayanup3@gmail.com |
408115b5701ae632cd084102df6c8ce618b892de | 986b71467d606d3f339290734c646cdffc7f822e | /homework2/Solutions/q2_b.py | cce0374e54cfd563d8ff34a86c959487baad33ae | [] | no_license | hyhyjjyjy/Machine-Learning-9417 | e4f556cab3f6d41efeaded666e32d23373a6c32f | 0d498271dbd31333028a3c643bba8b686cf92f49 | refs/heads/main | 2023-08-29T02:08:47.386712 | 2021-11-03T02:25:56 | 2021-11-03T02:25:56 | 389,868,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 843 | py | import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
A = np.array([[1,0,1,-1],[-1,1,0,2],[0,-1,-2,1]])
b = np.array([[1],[2],[3]])
x = np.array([[1],[1],[1],[1]])
alpha = 0.1
k = 0
all_xs = []
alphas = []
alphas.append(0.1)
all_xs.append(x)
while 1 == 1:
diff_x = np.dot(A.T,(np.dot(A, x) - b))
... | [
"bunnydongao@gmail.com"
] | bunnydongao@gmail.com |
696f8b7b5820a780c5b69af4b09a910c33f89eea | 7a9d5f963cd5440ecd8b68340185628af32215a9 | /main.py | 6d519657ee2e64472db246872649fbd29e19fef1 | [] | no_license | RomanZavodskikh/house_price_prediction_service | 7e49e6e0eb4e807742ab5077fd64883b249d06b7 | 5d2a2b4ac500439961cc6d8ad18c02e69bf58341 | refs/heads/master | 2023-02-07T18:25:03.517701 | 2020-12-27T23:12:01 | 2020-12-27T23:12:01 | 323,147,091 | 0 | 1 | null | 2020-12-27T22:16:47 | 2020-12-20T19:17:48 | HTML | UTF-8 | Python | false | false | 3,691 | py | from regressor import Regressor
from codecs import open
import time
from flask import Flask, render_template, request
app = Flask(__name__)
print("Load regressor")
start_time = time.time()
regressor = Regressor()
print("Regressor is successfully loaded")
print(time.time() - start_time, "seconds")
@app.route("/", meth... | [
"Roman.Zavodskikh@acronis.com"
] | Roman.Zavodskikh@acronis.com |
940b8d72bc9a7a19f531216fbae3406918a2a382 | 0d0663773f2f95b31610d53de08f883d71e4277f | /show_checkpoint.py | 856bf61aecabfe0db675b726c6a2736a1c25753f | [] | no_license | THVi-xTHU/xthu | cd9705766a587408f94e5e70f38dfe37c9813c23 | 5c82949f28a32c0be34a45994d0098ffc5a058c1 | refs/heads/master | 2021-07-20T17:59:51.026522 | 2018-07-06T16:22:39 | 2018-07-06T16:22:39 | 134,022,347 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | from tensorflow.python.tools import inspect_checkpoint as chkp
model1='fcrn_depth_prediction/model/NYU_FCRN.ckpt'
model2='KittiSeg/RUNS/KittiSeg_pretrained/model.ckpt-15999'
#chkp.print_tensors_in_checkpoint_file(model1, tensor_name='depth', all_tensors=True)
chkp.print_tensors_in_checkpoint_file(model2, tensor_name='s... | [
"thushenhan@gmail.com"
] | thushenhan@gmail.com |
ec6062baf7c8fd523d227a088ce493e3a46ece16 | 8030effd125ce82de48868a320bae6a81e91c240 | /singlePYexercise/Median.py | 9ca7ed8c7909c774e2fdfaf8b206925fd9ec8ff3 | [] | no_license | ttyyxxu/pythonWork | 9da8684b3ef635d78105d9884591ce0a83416e78 | fd557f1f5e58fbd1a5e2ef39bb69843d6fdd47d8 | refs/heads/master | 2023-08-06T00:55:48.900531 | 2021-09-27T10:04:29 | 2021-09-27T10:04:29 | 350,281,553 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 473 | py | def findMedianSortedArrays(nums1, nums2):
list_merge = []
list_merge.extend(nums1)
list_merge.extend(nums2)
list_merge.sort()
print(list_merge)
if list_merge == []:
return None
if len(list_merge) % 2 == 1:
return list_merge[int((len(list_merge)-1)/2)]
else:
return... | [
"mcdyess_dunker@hotmail.com"
] | mcdyess_dunker@hotmail.com |
f2bbd55a26eaa0aefba82dbb86521896c10127b6 | 797981a440bfd3fa6c005cc61c96d15d149ef121 | /excel/main.py | edcce86761bb379ce82780b03ff5d7869d07ba5f | [] | no_license | gvuuvg/GeekGvuuvg | e556a0c0a2a78ac86400100f43cb6cedbfc59225 | 77179359e18255b7526324d14f31776461066a41 | refs/heads/master | 2023-08-23T20:15:01.133650 | 2021-10-22T12:46:58 | 2021-10-22T12:46:58 | 415,501,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | py | import xlrd
import json
# xlrd版本需要是1.2.0
data = xlrd.open_workbook("Book1.xlsx")
table = data.sheets()[0]
n = table.nrows
stu = []
for i in range(n):
if i == 0:
continue
stu.append(table.row_values(i))
json_data = json.dumps(stu)
with open('stu_json.json','w') as f :
f.write(json_data)
with open('... | [
"h13983092340@163.com"
] | h13983092340@163.com |
7f74cfbc1f54a349672430ed58e9f38036faf634 | d80627829d3c7efefe5385f5ef20a1c3ac869f96 | /service/en_patent_service.py | d3f512bf96ea1fc52beb7a4b14dfa3cb28c9be8b | [] | no_license | zhantanfeng/enterprise_project_df | 42675109a4db6c4892bf7b1a033a2abc95129029 | ffc88e871f2c050cf9ca5e54bfb2a145335554dd | refs/heads/master | 2022-12-15T04:03:42.532493 | 2020-03-19T12:56:22 | 2020-03-19T12:56:22 | 246,612,129 | 0 | 0 | null | 2022-12-08T03:49:55 | 2020-03-11T15:43:01 | JavaScript | UTF-8 | Python | false | false | 8,960 | py | """
处理有关企业专利信息的数据库获取结果的处理
"""
import dao.enterprise_patent_dao as enterprise_patent_dao
import dao.enterprise_dao as enterprise_dao
from collections import Counter
def get_en_info_by_patent(searched_patent):
"""
根据企业成果检索企业
:param searched_patent:
:return:企业信息
"""
en_id_list = enterprise_patent_... | [
"1148705128@qq.com"
] | 1148705128@qq.com |
552f8201a844eb37e5bdbb4737bfcc762df98c5b | 91f665f982b164eeb3b6db21eb047746e8488ba5 | /resources.py | 35dcdf4cdbc6af34019ba977b8f9058d84115a45 | [] | no_license | 46319943/qgis_plugin_homework | 1dd6915b9617e55609c2dd858c64cb011742ab5d | 94cb6bc74512a439effad1e5556e1bf9cbfeb3bd | refs/heads/master | 2023-01-02T21:17:56.255944 | 2020-10-20T09:10:18 | 2020-10-20T09:10:18 | 305,649,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,912 | py | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.9.6)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x04\x0a\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\x17\x0... | [
"495384481@qq.com"
] | 495384481@qq.com |
513d71e4bf5d4a10269d5785e060daaa8ce0b977 | 796c913ba4bdfdf9d8f9c891dd97ff90d6b1bdd4 | /plaid/api/link_token.py | 74a10c1d92823a7e3fd934f7d492c3eb1281b91c | [
"MIT"
] | permissive | InspiredMember/plaid-python | 44da758e676baac58d857588c7e34ed6e0c409f9 | 8bee5a907e0fd03c406b24a7b62166f86a42ca6b | refs/heads/master | 2021-08-06T19:38:35.609908 | 2020-08-04T23:42:41 | 2020-08-04T23:42:41 | 206,851,929 | 0 | 0 | MIT | 2019-09-06T18:26:10 | 2019-09-06T18:26:10 | null | UTF-8 | Python | false | false | 739 | py | from plaid.api.api import API
link_token_field_names = [
'user',
'client_name',
'products',
'country_codes',
'language',
'redirect_uri',
'android_package_name',
'webhook',
'link_customization_name',
'access_token',
'account_filters',
'cross_app_item_add',
'payment_in... | [
"noreply@github.com"
] | InspiredMember.noreply@github.com |
487890ec6dfa248593a93530920bc2c0b559b453 | 3cdb4faf34d8375d6aee08bcc523adadcb0c46e2 | /web/env/lib/python3.6/site-packages/django/contrib/messages/storage/base.py | fd5d0c24aa8037c6beb35ed14e85fda6851aa798 | [
"MIT",
"GPL-3.0-only"
] | permissive | rizwansoaib/face-attendence | bc185d4de627ce5adab1cda7da466cb7a5fddcbe | 59300441b52d32f3ecb5095085ef9d448aef63af | refs/heads/master | 2020-04-25T23:47:47.303642 | 2019-09-12T14:26:17 | 2019-09-12T14:26:17 | 173,157,284 | 45 | 12 | MIT | 2020-02-11T23:47:55 | 2019-02-28T17:33:14 | Python | UTF-8 | Python | false | false | 5,643 | py | from django.conf import settings
from django.contrib.messages import constants, utils
LEVEL_TAGS = utils.get_level_tags()
class Message:
"""
Represent an actual message that can be stored in any of the supported
storage classes (typically session- or cookie-based) and rendered in a view
or template.
... | [
"rizwansoaib@gmail.com"
] | rizwansoaib@gmail.com |
5b6746bc96796294065d58ec98028daa3d44bbf9 | 2f5ab43956b947b836e8377370d786e5ee16e4b0 | /sklearn2code/sym/test/test_printers.py | d1f8d27e37ac139c656be81f1359268ce15271d4 | [
"MIT"
] | permissive | modusdatascience/sklearn2code | b175fb268fa2871c95f0e319f3cd35dd54561de9 | 3ab82d82aa89b18b18ff77a49d0a524f069d24b9 | refs/heads/master | 2022-09-11T06:16:37.604407 | 2022-08-24T04:43:59 | 2022-08-24T04:43:59 | 115,747,326 | 4 | 2 | MIT | 2018-05-01T00:11:51 | 2017-12-29T19:05:03 | Python | UTF-8 | Python | false | false | 874 | py | from sklearn2code.sym.expression import FiniteMap, Integer, false, true,\
IntegerVariable, RealPiecewise, RealNumber
from sklearn2code.sym.printers import JavascriptPrinter
from nose.tools import assert_equal
def test_javascript_finite_map():
expr = FiniteMap({Integer(0): false, Integer(1): true}, IntegerVari... | [
"jcrudy@gmail.com"
] | jcrudy@gmail.com |
1e50a1ac9ccf9fd437998f3c191d97aeaa03a6d2 | 288379497b95ff3a737ad7b26037138bc0d201fb | /app/markup.py | a691bdcfd25a9b4c9e95dea2c22da587f66800d4 | [
"MIT"
] | permissive | yesudeep/greatshipgroup | 5069df92bcae40d074ec9960b3d1f8161ff1046f | 28530867683da44fd5f50e648972650a7ae5320a | refs/heads/master | 2020-05-24T12:49:59.166880 | 2011-02-04T17:44:55 | 2011-02-04T17:44:55 | 466,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,716 | py | """
Support for different markup languages for the body of a post.
The following markup languages are supported:
- HTML
- Plain text
- ReStructured Text
- Markdown
- Textile
For ReStructuredText and Markdown syntax highlighting of source code is
available.
"""
# TODO: Add summary rendering.
# TODO: Docstrings.
... | [
"yesudeep@mia.local"
] | yesudeep@mia.local |
23dc0ef96104eeaaf9e32141ff8e5a1af34080fe | 32e6aa08aa5fe0707e2adb092d6f6804845d94bc | /calculator.py | 48fba631283e35ea281956938ad89db5aaa9fc79 | [] | no_license | shrishail-talukar/patrick-jane-text-editor | e2a888a946b13ed97eb34274c31b01115ba2b1cd | 58feae1399b3984ec5971c185865d5ffc8b0f4af | refs/heads/master | 2023-05-11T19:05:21.889071 | 2020-07-19T21:01:19 | 2020-07-19T21:01:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,839 | py | #Author: Shrishail Talukar
#Email: shrishailtalukar@gmail.com
# A simple text editor, capable for creating a file, opening a file, and saving a file
# Feel free to improve the software
# Python 3x, and QtPy/PyQt5 is used
import sys
from qtpy import QtGui, QtCore, QtWidgets
class Workplace(QtWidgets.QMainWindow):
... | [
"shrishailtalukar@gmail.com"
] | shrishailtalukar@gmail.com |
6bb22a6d2fb6bfc0634b338ea727935c83a552e3 | a5b8d71fd3876b76cb5183d5396625bd49bebb79 | /mushi/apps/webui/views.py | cd21c8d6e9abbe60cc2a26308d37187b75e60efe | [
"Apache-2.0"
] | permissive | kyouko-taiga/mushi | 1943d5b27296a76c12733f71ad9f3a9ef0f5d251 | fbc6583f934aba814aca7bbd5717d8d8e146ad48 | refs/heads/master | 2021-01-10T08:04:41.000046 | 2015-06-07T22:59:39 | 2015-06-07T22:59:39 | 36,305,995 | 0 | 2 | null | 2015-07-01T17:58:58 | 2015-05-26T15:39:24 | JavaScript | UTF-8 | Python | false | false | 1,256 | py | # Copyright 2015 Dimitri Racordon
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | [
"kyouko.taiga@gmail.com"
] | kyouko.taiga@gmail.com |
1a01f5c2747cdd429c329c7250f34280b5f686d2 | 412b699e0f497ac03d6618fe349f4469646c6f2d | /env/lib/python3.8/site-packages/web3/_utils/threads.py | ba45d8775e0e35fd72ae6117133e9d50ea23bdc3 | [
"MIT"
] | permissive | EtienneBrJ/Portfolio | 7c70573f02a5779f9070d6d9df58d460828176e3 | 6b8d8cf9622eadef47bd10690c1bf1e7fd892bfd | refs/heads/main | 2023-09-03T15:03:43.698518 | 2021-11-04T01:02:33 | 2021-11-04T01:02:33 | 411,076,325 | 1 | 0 | MIT | 2021-10-31T13:43:09 | 2021-09-27T23:48:59 | HTML | UTF-8 | Python | false | false | 3,979 | py | """
A minimal implementation of the various gevent APIs used within this codebase.
"""
import threading
import time
from types import (
TracebackType,
)
from typing import (
Any,
Callable,
Generic,
Type,
)
from web3._utils.compat import (
Literal,
)
from web3.types import (
TReturn,
)
cla... | [
"etiennebrxv@gmail.com"
] | etiennebrxv@gmail.com |
39db9f762be3ee230422c09238b1b18e127682f6 | b6145339bdc94182c6d79d9d56b42ae31f09c2ca | /problems/sliding_window/Max_Consecutive_Ones_III.py | 608c37c5ea14def09351e18833f87843be802d67 | [] | no_license | ruozhizhang/leetcode | b0f1860de9938d721d6bee81ff9ceda656ecfa40 | ac9097a400095c96bcc72eb0c80e5df3cce9b0d1 | refs/heads/master | 2023-05-22T08:15:59.782523 | 2021-06-14T15:11:45 | 2021-06-14T15:11:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,019 | py | '''
https://leetcode.com/problems/max-consecutive-ones-iii/
Given an array A of 0s and 1s, we may change up to K values from 0 to 1.
Return the length of the longest (contiguous) subarray that contains only 1s.
Example 1:
Input: A = [1,1,1,0,0,0,1,1,1,1,0], K = 2
Output: 6
Explanation:
[1,1,1,0,0,1,1,1,1,1,1]
Bolde... | [
"ruozhizhanglife@gmail.com"
] | ruozhizhanglife@gmail.com |
98b2d069da09e52a0bcaf8917f2da0ce972ad801 | 4dca892ac2d33fcd84e78d8e6c95e7d5955f04d1 | /welcome.py | 30b2f55503bcc1441ee9712159b7ccc40b0cfc7d | [] | no_license | VipulRana/Covid-19-DataScience | a486d824b8a427dd91b44339db7bb94ccecb9c32 | 26dfa14fc5dca32e94f483434f27d8e59146bd39 | refs/heads/main | 2023-02-20T12:06:14.765997 | 2021-01-21T18:13:49 | 2021-01-21T18:13:49 | 331,713,569 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,197 | py | from PyQt5 import QtCore, QtGui, QtWidgets
from login import Ui_Login_Form
class Ui_MainWindow(object):
def login_form(self):
self.LoginWindow = QtWidgets.QMainWindow()
self.ui = Ui_Login_Form()
self.ui.setupUi(self.LoginWindow)
self.LoginWindow.show()
def setupUi(sel... | [
"noreply@github.com"
] | VipulRana.noreply@github.com |
1ddefea085b7f43177f6144a313adf9ae3ec8f87 | 805c4473e47c6be851c24fce0c0dfd9ea7719d56 | /MAIN.py | c06c610a3a91866cd473c9ce6575bf29677f54f5 | [] | no_license | siddharth-rawatt/Image-Caption-Genertor- | cb6ba11f37e8f0d93bea747d40e97b06d21447e5 | 9fb739ccfd9f25bb8e768d5cafbe195bfe93a7c0 | refs/heads/main | 2023-06-07T09:29:56.779318 | 2021-06-18T14:09:32 | 2021-06-18T14:09:32 | 378,161,893 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,765 | py | import string
import numpy as np
from PIL import Image
import os
from pickle import dump, load
import numpy as np
from keras.applications.xception import Xception, preprocess_input
from keras.preprocessing.image import load_img, img_to_array
from keras.preprocessing.text import Tokenizer
from keras.preprocessi... | [
"noreply@github.com"
] | siddharth-rawatt.noreply@github.com |
043d589eaaab4d2ab8c8f03c3d650ba3fcf23a53 | dbb5f26b79fc06a98ae4c34de71a27a25aa8dc88 | /ADA.py | 865dd4e0dc861db73bf0420f62f97db5fc57dd57 | [] | no_license | KordianD/Machine-Learning-Sebastian-Raschka | 5a9b2f56c073f69cd27fccd40233fdcd10792683 | fe08af9bc6b9790645120716fe78a71c12ecb9ad | refs/heads/master | 2020-03-27T05:39:59.004664 | 2018-08-24T20:48:17 | 2018-08-24T20:48:17 | 146,038,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,051 | py | import numpy as np
import helper
X, y = helper.get_iris_data(output_values_ranges=[-1, 1])
helper.plot_iris_data(X)
class Ada:
def __init__(self, learning_rate=0.01, epochs=50, random_state=1):
self.learning_rate = learning_rate
self.epochs = epochs
self.random_state = random_state
... | [
"kordiandrozd@gmail.com"
] | kordiandrozd@gmail.com |
65f8e1881f1f41d634cf77079fc9440bb4cb9813 | 6983b7e1b874cf38a28dba0756486c8ec1546124 | /bard/views/entities_api.py | fde4e5ef5c35addd798afa3f0c7574f0a45ee5b6 | [] | no_license | MathiasDarr/dakobed_bard | 78cec739865fc092323b442bf1a2d5a41f0b970f | 52f6d8a8d7109ebb61b12ca8577bac4182b1b59a | refs/heads/master | 2023-05-10T03:27:59.781013 | 2021-05-30T03:56:53 | 2021-05-30T03:56:53 | 360,324,308 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 257 | py | from flask import Blueprint, request
import logging
log = logging.getLogger(__name__)
blueprint = Blueprint("entities_api", __name__)
@blueprint.route("/api/2/entities",methods=["GET"])
def index():
"""
:return:
"""
return "Entities API" | [
"mathias.darr@pnnl.gov"
] | mathias.darr@pnnl.gov |
06acaf902c5984258838464d08953930f011acd6 | cc36ad5eca8f31f26eea6bfe24abf5f6a484f506 | /src/utils/helper.py | 814bbfe3c350bc9a09cfa448268b268d8ae4dd4f | [
"MIT"
] | permissive | Ehsan-Tavan/twitter_crawlers | 8479904287dc8ccdc5cf1312bb087a390cad42a2 | 0f117c3ef994c9e37a5bca41140e093181e90e4e | refs/heads/master | 2023-06-03T12:41:17.700073 | 2021-06-24T04:47:53 | 2021-06-24T04:47:53 | 361,388,993 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,758 | py | import datetime
import pandas as pd
def calculate_date(days: int) -> [str, str]:
"""
:param days:
:return:
"""
# get today date
end_date = datetime.datetime.now()
day_past = datetime.timedelta(days=days)
start_date = end_date - day_past
end_date = end_date.strftime("%Y-%m-%d")
... | [
"tavan.ehsan@gmail.com"
] | tavan.ehsan@gmail.com |
3914c9db6feaaf9a525477b46999f04886e29072 | d9c5bee4aac8406732491c13dc2ece8f3bb1bede | /train.py | 8fa001b642925c6a72e6bff9817079beb695aeb6 | [
"Apache-2.0"
] | permissive | hehichens/NeuralStyle | db8c58927b6cbe133e27223cd8dc05cf95c74706 | cf28a1eefd8713f85e94f50935562a663a53e8b5 | refs/heads/main | 2023-02-03T17:20:04.064327 | 2020-12-11T13:24:35 | 2020-12-11T13:24:35 | 320,439,248 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,882 | py | """
trian model
edit by hichens
"""
import time
import torch
import torchvision
import os
from utils.options import opt
from utils.utils import *
from utils.visualizer import Visualizer
## net
net = create_model()
## Hyper Prameter
batch_size = opt.batch_size
## visulizer
visualizer = Visualizer()
total_iter =... | [
"hichens@qq.com"
] | hichens@qq.com |
d5439756a472a776f6e2de4f77152fbc8854b8cf | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/303/usersdata/280/97935/submittedfiles/testes.py | d88ecb76f5e989a6ee41f07dc266207edd3ddf88 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,328 | py | """
valor=["X","O"]
symh=valor[0]
sympc=valor[1]
print(symh)
print(sympc)
line1=[" "," "," "]
line2=[" "," "," "]
line3=[" "," "," "]
print("|%s|%s|%s|" % (line1[0],line1[1],line1[2]) )
print("|%s|%s|%s|" % (line2[0],line2[1],line2[2]) )
print("|%s|%s|%s|" % (line3[0],line3[1],line3[2]) )
line1[2]=sym... | [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
6ef80220e480e093f7edc3333639f750931483ed | 14b39545e132d31b74150e5dbc04a92d6bd121bd | /1010_calculo_simples.py | f8aee14feeef4622062325214980f88dc1a4c68b | [] | no_license | VictorJurado18/ExerciciosURIJudge | cc5d5d805b39cc04fd57789dbc1a343ab348612e | cca86843f04b69852f989fb1d707538f2aab63f5 | refs/heads/master | 2023-06-30T01:48:59.650147 | 2021-08-03T16:56:43 | 2021-08-03T16:56:43 | 392,388,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | c1, n1, p1 = input().split()
c2, n2, p2 = input().split()
c1 = int(c1)
c2 = int(c2)
n1 = int(n1)
n2 = int(n2)
p1 = float(p1)
p2 = float(p2)
valor = (n1 * p1) + (n2 * p2)
print(f'VALOR A PAGAR: R$ {valor:.2f}') | [
"victor.nemejur@gmail.com"
] | victor.nemejur@gmail.com |
9f79d6436bdd0d131e2f876c83e4b482712e8060 | 1abc28811934bb0c533a2b808d84c2e834348f13 | /test_map.py | 8f0e2befb9c9ca1629fab78892b18a97a189f4c7 | [] | no_license | gorohovIlya/my_project | 729ba599aa6c3b0be7c5257471c580c889ce2fba | 9f5e6a0fd719f0a90074350bbb6707617904ad33 | refs/heads/main | 2023-09-04T20:29:07.781880 | 2021-11-12T12:56:42 | 2021-11-12T12:56:42 | 423,747,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,491 | py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'test_map.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import Q... | [
"noreply@github.com"
] | gorohovIlya.noreply@github.com |
3b86e81c1aefa746ea0b2327c9bc1e620689dd0a | 7a013424c82b71bc82aa312e0165a1af4170ac23 | /ABC/ABC173/C.py | c0f86d46455b822b965fac48b703f8bf73750487 | [] | no_license | kikugawa-shoma/Atcoder | fe3405e36dd3e4e25127b6110d6009db507e7095 | 7299116b7beb84815fe34d41f640a2ad1e74ba29 | refs/heads/master | 2020-12-21T19:10:12.471507 | 2020-10-10T16:38:18 | 2020-10-10T16:38:18 | 236,531,207 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 914 | py | import copy
H,W,K = map(int,input().split())
C = [list(input()) for _ in range(H)]
M = [[0]*W for _ in range(H)]
for i in range(H):
for j in range(W):
if C[i][j] == "#":
M[i][j] = 1
def bit_01(keta):
ans = []
for i in range(2**(keta)):
ans.append("".join(["{:0", ... | [
"kikugawa-s@sys.i.kyoto-u.ac.jp"
] | kikugawa-s@sys.i.kyoto-u.ac.jp |
54fdddb266d157a4dd0830794c7f6c1adaf0e53d | 55a7490f3fef92cac6d7aeed9674dcfe51e3ea78 | /pollster/polls/admin.py | 02f0fe9bb0db1656b1109356dbe5a9a7278d31a1 | [
"MIT"
] | permissive | ImInYourPie/django-polls | 109a5c7cb6b637e36f6fe2be361720a3b9f45f9b | 56e0fc6152b555f7de4bdc9326ff35f3508ac4b0 | refs/heads/main | 2023-01-14T10:53:06.447824 | 2020-11-23T19:44:53 | 2020-11-23T19:44:53 | 315,326,474 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 575 | py | from django.contrib import admin
# Models
from .models import Question, Choice
admin.site.site_header = "Pollster Admin"
admin.site.site_title = "Pollster Admin Area"
admin.site.index_title = "Welcome to the Pollster admin area"
class ChoiceInline(admin.TabularInline):
model = Choice
extra = 3
class Quest... | [
"iminyourpie@gmail.com"
] | iminyourpie@gmail.com |
9176d3e53da70f0692fbab648cb4c76f58216f6d | 059c4606fd93b70c244a0017cc1727d1b951e75a | /5-packages/http-examples/httpie-notes/httpie/context.py | c0840c9d051252a44b25937acfd607e94db2b7e7 | [
"BSD-3-Clause"
] | permissive | andyguwc/python-resources | 1f6850b1fde243912644530ee8985ae09773c68e | d8ab7e54d287a697e4763a36b10136af461ec820 | refs/heads/master | 2021-06-24T13:30:25.196129 | 2021-03-02T03:11:49 | 2021-03-02T03:11:49 | 210,958,803 | 1 | 1 | null | 2019-10-25T03:12:31 | 2019-09-25T23:29:29 | Python | UTF-8 | Python | false | false | 3,005 | py | import os
import sys
from pathlib import Path
from typing import Union, IO, Optional
try:
import curses
except ImportError:
curses = None # Compiled w/o curses
from httpie.compat import is_windows
from httpie.config import DEFAULT_CONFIG_DIR, Config, ConfigFileError
from httpie.utils import repr_dict
# u... | [
"tianyou.gu@gmail.com"
] | tianyou.gu@gmail.com |
da2ea8e51998c780767ce2552d82184f69db07fe | 8015f1c62a2cb4efd21aa8938336913bf8117868 | /bamap/ba4199.pngMap.py | 1ad5d97a840efedf5f02dfe430ab6575dc397483 | [] | no_license | GamerNoTitle/Beepers-and-OLED | 675b5e3c179df0f0e27b42bf594c43860d03b9af | afe1340e5394ae96bda5f9022a8a66824368091e | refs/heads/master | 2020-04-20T00:09:47.122471 | 2019-04-29T04:59:35 | 2019-04-29T04:59:35 | 168,515,579 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 8,468 | py | ba4199.pngMap = [
'00000000000000000000000000000000000000000000000000000000000000000000000011111111111111111111111111111111111111100000000000000000',
'00000000000000000000000000000000000000000000000000000000000000000000000011111111111111111111111111111111111111110000000000000000',
'0000000000000000000000000000000000000... | [
"bili33@87ouo.top"
] | bili33@87ouo.top |
51e4dce7f469cd88b25fc829aac70141681ca957 | 5d428cb2022457d2e4cadd1b4898b3375446da6a | /PID Control/PController.py | 5e4260a4b6aa99de12882c9b052ed2d38ddaa2e0 | [] | no_license | Dheenu-kasinathan/AI-for-Robotics | b6d7784b34d132b533bc23ca8327ff06f0439625 | 2cc27eaeba91ab64a2f162a477a15eb3ec6cfbb4 | refs/heads/master | 2020-05-07T21:34:05.703775 | 2019-04-14T19:21:03 | 2019-04-14T19:21:03 | 180,909,977 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,846 | py | # User Instructions
#
# Implement a P controller by running 100 iterations
# of robot motion. The desired trajectory for the
# robot is the x-axis. The steering angle should be set
# by the parameter tau so that:
#
# steering = -tau * crosstrack_error
#
# You'll only need to modify the `run` function at the bottom.
# ... | [
"noreply@github.com"
] | Dheenu-kasinathan.noreply@github.com |
7cd3d0a6157fdb13adcb05da8c44356000f7062c | 29787e0aaa63b36c78f5a9c09ce687359c348dfd | /hosting_benchmark/inc/taxonomies.py | 3ced00cb00d5907f70c512ce45a2350580b96bfb | [
"MIT"
] | permissive | samupl/hosting-benchmark | b9d7333a9aa89ee4f4bc70ec730326007b13cd83 | b5529d92c30a9de29f6799e1eba64a4df7e30617 | refs/heads/master | 2022-12-27T02:47:18.878218 | 2020-07-15T14:13:12 | 2020-07-15T14:13:12 | 258,129,105 | 2 | 2 | MIT | 2020-10-03T12:30:23 | 2020-04-23T07:37:25 | PHP | UTF-8 | Python | false | false | 191 | py | """Hosting benchmark taxonomies."""
from typing import NamedTuple
class BenchmarkResult(NamedTuple):
"""Single benchmark result."""
timestamp: float
number: int
data: dict
| [
"s@samu.pl"
] | s@samu.pl |
cf6456ac85f4543949c393b10e7523d303358601 | 6755e2b3852245cb284116765e3939bfabeb0ee0 | /mult.py | 30900973eb8dbe08778fdfb584305613539f6b88 | [
"MIT"
] | permissive | Seanny123/nef-conceptors | 97977b2bd3a1fbad6c6890576e4f3b13a7c41e9e | e6b16282d2082563b687543734d2960927380e63 | refs/heads/master | 2020-03-26T13:12:14.477642 | 2018-12-22T15:09:42 | 2018-12-22T15:09:42 | 51,094,034 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,016 | py | # try boosting a pattern
from dmp_utils import *
from process import *
import scipy.io
from scipy import interpolate
import nengo
import numpy as np
import ipdb
def make_dmp_net(functions, input_obj, output_obj, name=""):
"""create one point attractor per dimension with goals as nodes
and one unified neuron... | [
"seanaubin@gmail.com"
] | seanaubin@gmail.com |
559e33669cbc8f83386aa25aa905becbb1f9ce81 | 51ea2ab69aa86d5b2cfb7e4ca8f857d34d5299ac | /parser.py | daf7511a63bc06040903ce2eb8fa1e7f4dbd90d2 | [] | no_license | bmys/py2js | 9042f29521ed60226e635db0659151cb214a0411 | 74b93ba87b93105a23b6da3d91dd961f0e68307a | refs/heads/master | 2020-04-12T17:03:57.771615 | 2018-12-20T23:39:02 | 2018-12-20T23:39:02 | 162,633,578 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,341 | py | #! /usr/bin/python3
import sys, re
# Loading file
file_name = sys.argv[1]
file_content = None
try:
with open(file_name, 'r') as file:
file_content = file.readlines()
except FileNotFoundError:
print(f'File "{file_name}" not found')
sys.exit(1)
intent_val = [(value.count(' '), value.strip()) fo... | [
"noreply@github.com"
] | bmys.noreply@github.com |
96d4ef0f26cb6a613175373d07d8b3f5b5f395e2 | b643362050950db4dd62924b1d091e1a9d556fe7 | /Own notes/Ch_4_exercises.py | cbb2ee11f88d1c3f91fb3e871245fddd4fd60ac7 | [] | no_license | t-redactyl/Practical-Programming-exercises | bc6be513b79bcd70dc6777c9248c89bbe51ec9cb | 49754b13b10417746fbde73921b79343e8020b8d | refs/heads/master | 2021-01-10T03:16:09.815697 | 2015-11-08T00:28:29 | 2015-11-08T00:28:29 | 44,232,631 | 3 | 4 | null | null | null | null | UTF-8 | Python | false | false | 691 | py | # Exercises for Chapter 4
import math
print "The absolute rounded value of -4.3 is %f." % (abs(round(-4.3)))
print "The ceiling of the sin of 34.5 is %f." % (math.ceil(math.sin(34.5)))
import calendar
print "The number of leap years between 2000 and 2050 is %d." % (calendar.leapdays(2000, 2050))
print "The day of the... | [
"jodie.burchell@gmail.com"
] | jodie.burchell@gmail.com |
422abca4bacf6e2ba6f5234bc20564e9345ab709 | 1ae7de4b306d61a6648062ed289c62fbfdbd0fcf | /app/core/migrations/0001_initial.py | ef0006a0b9451d0c7e3413d33c0228abb13607a8 | [
"MIT"
] | permissive | manuelmillares/recipe-app-api | 57259d72c81a2d0c27a45c7bb2ec29c74ba285b0 | eda84164b7d6256d4d39bbd688197427620b9089 | refs/heads/master | 2022-12-04T20:45:11.616756 | 2020-08-17T20:10:19 | 2020-08-17T20:10:19 | 285,604,538 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,709 | py | # Generated by Django 2.1.15 on 2020-08-10 21:36
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0009_alter_user_last_name_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
... | [
"manuelmillares1@gmail.com"
] | manuelmillares1@gmail.com |
20ac39525465b241ccea7a33d723555f6ef67591 | ef91b74131b8791800d2365982edbfaf515ef54a | /day4/02_BeautifulSoup/ex04_monthly_savings.py | 971a91ad5664dac688b889dc9f58bcf2687ffcee | [] | no_license | akatkar/python-training-examples | ec749f58698fc1cfa458246ce11069f94d25027e | 8afa2e347c079a84740f4559e78c1be55eed5226 | refs/heads/master | 2020-05-16T03:32:22.613770 | 2019-04-22T09:15:14 | 2019-04-22T09:25:17 | 182,726,662 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 777 | py | from bs4 import BeautifulSoup
with open("index.html") as fp:
bs = BeautifulSoup(fp,"html.parser")
def findTable(caption):
for table in bs.find_all("table"):
if table.find("caption").text.strip() == caption:
return table
savings = findTable("Monthly savings")
if savings:
headers = [he... | [
"alikatkar@gmail.com"
] | alikatkar@gmail.com |
ab9827b3472bc7c44a3a1d38cfa64e8dc1a5eae9 | 5a8c6abdfa55b31e42e39866122eaaaf93cd40f6 | /src/player.py | e0f075b043522c47e143537eaf4c13bc51ddeba8 | [] | no_license | ycchen00/Mancala | 671fa8834a86380f1e75b25f7b09491eb733403e | 73942072d6bd25133fc8b63272b87f0462b25f97 | refs/heads/master | 2023-08-21T01:49:17.651404 | 2021-10-26T03:05:01 | 2021-10-26T03:05:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,187 | py | from math import floor, ceil
from random import choice
from copy import deepcopy
class Player(object):
def __init__(self, index, algo, maximum_depth=float("inf"), depth=0):
"""Init a player
---
index: 1/2 -> palyer1/2
algo: the pattern of the player human/random/...
---
... | [
"chen.yuchi@zkyunkang.com"
] | chen.yuchi@zkyunkang.com |
05eacae54547837444451aba6a9ab0c685add15e | 03198f075072bfb9d5c5afab2fef99d3ec5f37db | /source/api_v2/serializers/advert.py | 8c9cf5e5ce4d0f747676fb2b5908d2bbc2e61240 | [] | no_license | Azer-Denker/Ex_12 | 2c402dffddbf726bfaab61f5022ea0cf6b6b3562 | 97d4eda2d621163c6e12ea388569b50157d09fd5 | refs/heads/main | 2023-07-14T19:05:39.763400 | 2021-08-21T13:30:31 | 2021-08-21T13:30:31 | 398,558,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | from rest_framework import serializers
from webapp.models import Advert
class AdvertSerializer(serializers.ModelSerializer):
class Meta:
model = Advert
fields = ('id', 'title', 'text', 'author', 'created_at')
read_only_fields = ('author', 'id')
def create(self, validated_data):
... | [
"azerarlen312@gmail.com"
] | azerarlen312@gmail.com |
29b9f78a2e90b472d3ff3098109f5326941fa354 | 3fcf1e68ef4a0af441842212335a47e11c42781c | /Examples_2/tut9.py | 9512d4a888251b2223e8a8dd0bc744102354555d | [] | no_license | fatihinz/Python | 27fac03b2a12a6e2593fef1d1a2515a4fbc401d6 | d28cecf9c4c50346dcf1a88ff46305527662ec12 | refs/heads/master | 2022-09-27T01:58:15.604257 | 2020-06-08T15:58:15 | 2020-06-08T15:58:15 | 270,626,738 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 955 | py | class Pet:
def __init__(self, name, age):
self.name = name
self.age = age
def talk(self):
raise NotImplementedError("Subclass must implement abstract method")
class Cat(Pet):
def __init__(self, name, age):
super().__init__(name, age) #super class method is here
def talk(self):
return "meowww"
c... | [
"fatihyavuzyilmaz@gmail.com"
] | fatihyavuzyilmaz@gmail.com |
e9078507a849826c1f513f40a618688cfec435d6 | ea6e3f65e16dea89f2504f3831962d50092da3a5 | /node.py | a51a5c9efedef48dbc1b4683d4cf176cbb7a6c5f | [] | no_license | evelyn2309/ba-bernhardt | 8dacf2e736392117894b0f432648ce3ce226b371 | 301a2f21ab1e331ff1884a8e1207f3480be037ef | refs/heads/master | 2020-08-04T06:50:45.627979 | 2019-10-01T11:42:46 | 2019-10-01T11:42:46 | 212,044,693 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 441 | py | from connection import *
class Node(object):
def __init__(self):
self.conn = Connection()
def setup_node(self, address, port):
"""
Fucntion to setup a node.
:param address: must be string.
:param port: must be int.
:return: None.
"""
self.conn.... | [
"ebernhar@students.uni-mainz.de"
] | ebernhar@students.uni-mainz.de |
cb77d2630711423eb7b83a180fcc926ec8cfc5e2 | 7c7246dc641f2fc8799acaa10869b5e9b6d354ed | /venv/Scripts/django-admin.py | 09976efe86b1bbd77b0366473720877ede991118 | [] | no_license | lamador25/DevOps | 3acb061277b67db5dc87ca62a83332ca54ca6d31 | f84183d6cd1df801163b2b1438babfab4be3e369 | refs/heads/master | 2020-03-27T03:57:14.895937 | 2018-08-24T23:18:34 | 2018-08-24T23:18:41 | 145,901,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | #!D:\PycharmProjects\DevOps\venv\Scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"lamador@homecenter.co"
] | lamador@homecenter.co |
115a35d4b021fae36e6c329d886c3c877510221f | 2813274dd110773a70f3c7192ff9fb0a5c5233b4 | /UI_Sqlite3_PyQt/sqlite_main.py | 6f670f62c1da7cb05cfcdaaf9b6b72d6f45c613a | [] | no_license | krzover/myPython | 4a37a363cf4ae3838c0f95ffb6126d1811b7cca1 | 38b3d69e02dee6b8e5b8b22e546080359ce16380 | refs/heads/master | 2021-01-13T01:18:50.366259 | 2017-04-28T06:54:12 | 2017-04-28T06:54:12 | 81,800,729 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,452 | py | #coding:utf-8
from PyQt5.QtWidgets import QApplication,QMainWindow
from PyQt5 import uic
import sqlite3
import sqlite_table
import sqlite_class
import sys
import os
class manager(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
self = uic.loadUi('ui_main.ui',self)
def sql_ad... | [
"krzover@gmail.com"
] | krzover@gmail.com |
577585d5d219c57f9600b650ba385b7862d9cbc8 | f5d79d70faf6e12ed1152f1fbbf0441c28c1acbf | /process_incoming_data.py | 7e49b75a8aab35bfe10af3121d4057c0e633c236 | [] | no_license | DalavanCloud/consumer-credit-trends-data | f1ebfa0b83e498b086a5f4fabcebb63f1c0e0e48 | 1cd04b96051de7b874e3a1097110c913a0166fbc | refs/heads/master | 2020-04-25T06:43:18.892148 | 2018-10-05T16:08:37 | 2018-10-05T16:08:37 | 172,590,367 | 1 | 0 | null | 2019-02-25T21:47:06 | 2019-02-25T21:47:06 | null | UTF-8 | Python | false | false | 27,011 | py | #!/usr/bin/env python
"""
Processes incoming data from the Office of Research and munges it into
the output formats expected by the CFPB chart display organisms.
Output formats are documented at
www.github.com/cfpb/consumer-credit-trends
"""
# Python library imports
import os
import datetime
import logging
# Local i... | [
"hillary.jeffrey@cfpb.gov"
] | hillary.jeffrey@cfpb.gov |
efceb7bfde0ca3da44a812a43f838b7ac79170bb | 79eb159b3ee36eb76bd921be24081708f44ac735 | /tests/test_codec.py | d9f73bcd0a34d29503f034d3199e6d5a2172f9d8 | [] | no_license | osh/PyAV | d7139f8faf7ee0973376db807e3b917863e9fb73 | 5fa85fd142ee8dabf01f4873e29678aeca153b4f | refs/heads/master | 2021-01-18T13:24:52.202662 | 2015-12-11T04:01:52 | 2015-12-11T04:01:52 | 47,802,016 | 1 | 0 | null | 2015-12-11T03:12:18 | 2015-12-11T03:12:18 | null | UTF-8 | Python | false | false | 620 | py | from .common import *
from av.codec import Codec
from av.video.format import VideoFormat
class TestCodecs(TestCase):
def test_codec_mpeg4(self):
c = Codec('mpeg4')
self.assertEqual(c.name, 'mpeg4')
self.assertEqual(c.long_name, 'MPEG-4 part 2')
self.assertEqual(c.type, 'video')
... | [
"github@mikeboers.com"
] | github@mikeboers.com |
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