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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fc643dc203e74a4a18ba26861d7b3c353dd2e542 | 461306cf81663a24f0549569c1377836e1e9783d | /rsi_indicator_and_traders_sentiment.py | 10ba405233acdf9beaa82ee64f05426e675257de | [
"MIT"
] | permissive | maxxyryo/TradingAlgorithm | c3be17fcc5c81b147fac2f055c1a7825ef511307 | 9795ee48c4b899ac8a09b40e4e2a5684db95890b | refs/heads/master | 2022-02-25T11:33:27.789642 | 2019-10-16T23:59:44 | 2019-10-16T23:59:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,821 | py | import time, random, math, logging, talib, numpy
from iqoptionapi.stable_api import IQ_Option
from datetime import datetime
logger = logging.getLogger()
logger.disabled = True
actives, action = '', ''
openAssets = []
print("***Hello Mark***")
print("\nLogging in...")
api = IQ_Option("gacokambui@gmail.com", "Dodomans... | [
"noreply@github.com"
] | maxxyryo.noreply@github.com |
d210d80b5d85c28a4b0ef06634b44b3a1f0e0c4c | 218e0259ba3c4e51c984f07f6ca1dde0499d7ae7 | /aasaan/manage.py | ca8ac2eef769a6b4fa0d1b2e9caef34979b03968 | [
"MIT"
] | permissive | deepakkt/aasaan | c1f363c93ca1cbeda62d9a5b814bb2b4de10de7d | 77ef72e785e6ae562f51ae64fa9d85faf860c315 | refs/heads/master | 2022-12-09T03:51:38.892923 | 2018-11-12T14:09:52 | 2018-11-12T14:09:52 | 156,221,855 | 0 | 0 | MIT | 2022-11-22T02:36:32 | 2018-11-05T13:25:28 | JavaScript | UTF-8 | Python | false | false | 254 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "aasaan.settings.prod")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
"deepak.kumaran@ishafoundation.org"
] | deepak.kumaran@ishafoundation.org |
ef545932a4b67937c9aaa422f89cd67d5d874941 | 576811a28608dcebc5bfdf9abe64e4bb4ab28a2a | /app/admin.py | d2e63d1ffc5936af55685a481d53a186a921f8ae | [
"MIT"
] | permissive | peterken674/instagram-clone | 180d7974548ffcd52414b94a96248efb83955bb8 | 950ff7902d8fd29ea9f94bf17b1ae0d69e0b2614 | refs/heads/main | 2023-06-15T22:59:51.639886 | 2021-07-15T09:01:01 | 2021-07-15T09:01:01 | 384,387,263 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 229 | py | from django.contrib import admin
from .models import Post, Profile, Comment, Like, Follow
admin.site.register(Post)
admin.site.register(Profile)
admin.site.register(Comment)
admin.site.register(Like)
admin.site.register(Follow)
| [
"peter.kimani@student.moringaschool.com"
] | peter.kimani@student.moringaschool.com |
92f42f9f2b8c96f0d8e83bcaa79b8813312fbb2e | ba7c4862dfbc9d0469f389c0cdb3fed01f99ebe3 | /controls/Control_Toolbox/steady_state_error.py | 25f782973e80f3f0f6a329e2308fc7e37a7425c8 | [] | no_license | cmontalvo251/Python | 293cbdf8832d7637d5c0b31eadd02d3ccf2f2c05 | 2b12ce043ee41e08537cfb62301c6a55d4661e04 | refs/heads/master | 2023-06-22T21:50:21.225067 | 2023-06-14T13:42:16 | 2023-06-14T13:42:16 | 229,313,158 | 8 | 3 | null | 2021-07-31T16:01:54 | 2019-12-20T18:03:52 | Python | UTF-8 | Python | false | false | 1,015 | py | ###Integrate an ordinary differential equation
#in MATLAB that's using the function ode45.
#in Python we're going to use the Scipy toolbox and odeint
import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as I
import control as ctl
import scipy.signal as S
import scipy.linalg as slin
plt.close("all"... | [
"cmontalvo251@gmail.com"
] | cmontalvo251@gmail.com |
9421de925619fe94b36c6e9b74bbf993021d8f12 | be84b86c95d1f2e5dd712c34e6b820f98d2154d5 | /nnet_pytorch/objectives/CrossEntropy.py | 6a5f9b8b6034c84ea61e7b74fae7d03c9160614c | [] | no_license | aarora8/nnet_pytorch | 6211f2dc26bae730249f4a6c0097166a09b847f6 | 086bc45cf2f1a12197f29033a1e129f6c8b55b03 | refs/heads/master | 2023-06-29T02:48:56.691357 | 2021-01-21T18:36:10 | 2021-01-21T18:38:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 893 | py | import torch.nn.functional as F
import torch
class CrossEntropy(torch.nn.Module):
@staticmethod
def add_args(parser):
pass
@classmethod
def build_objective(cls, conf):
return CrossEntropy()
@classmethod
def add_state_dict(cls, s1, s2, fraction, iteration=None):
... | [
"wiesner@jhu.edu"
] | wiesner@jhu.edu |
aebac5f6f1f394de8d920448000754827f0e64e2 | 1cb896deec4bb52a5db96f64bf7399124176f9de | /Homework01/homework01-01.py | fff637d965f2701bc87a2489ea4cba39eccf8b51 | [] | no_license | danihooven/Principles-of-Programming | b2148a17d6dcf381d4900473cdb2347967ab1d37 | 6a859e31ff0570591f2e12e99149d79f38ddd9ba | refs/heads/main | 2023-03-11T00:58:14.348279 | 2021-03-01T05:21:16 | 2021-03-01T05:21:16 | 343,296,880 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,609 | py | """ --------------------------------------------------------------------------------------------------------------------
ITEC 136: Homework 01 - Question 01
Write a program that prompts user to enter three sides of a triangle.
The program should determine if the three sides can form a triangle.
To form a triangle... | [
"noreply@github.com"
] | danihooven.noreply@github.com |
269dde29e6bc2a138c37e57bfcbe02a3e9c31da7 | f02e527444ad38fd719e89fc6418e0008e752b9d | /Lab13/fly_drone_new/fly_drone_main.py | e9a243d09b17fd757844360a7aeb1acf7f39e19b | [] | no_license | newkstime/PythonLabs | d1d58c420aa08f4274165598808e9c261a6168f0 | c08bedb372b1b3d44bb8436d93aeebcab642a31b | refs/heads/master | 2022-11-07T07:20:14.926002 | 2018-06-26T16:53:11 | 2018-06-26T16:53:11 | 121,427,417 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 531 | py | from drone import Drone
drone1 = Drone()
keep_going = True
while keep_going == True:
user_input = input("Enter 1 for accelerate, 2 for decelerate, 3 for ascend, 4 for desend, 0 to exit:")
if user_input == "1":
drone1.accelerate()
elif user_input == "2":
drone1.decelerate()
elif user_inp... | [
"eric.s.perry@outlook.com"
] | eric.s.perry@outlook.com |
e5ff4fc440892847e2b8cd2bb4af408b58478ab9 | 5c2e7ab4b89f5e6b29d27c02f46d75331aa16cc2 | /classifier.py | a2e89cfc450b24bba063eb8a85a41ff3417fc0e8 | [] | no_license | Koki-Yamaguchi/AtcoderFinder | 4b10ee6e147be94fe7aa5241ffcaaac609418bd8 | 6047ad831cfcbad427eb37d021f70b71b5d0ac57 | refs/heads/master | 2021-04-15T19:03:05.705432 | 2018-04-09T02:32:45 | 2018-04-09T02:32:45 | 126,480,285 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,821 | py | def classify(statement, codes):
tags = ['グラフ', '数論', '幾何', '動的計画法', 'データ構造', '文字列', '数列', '確率・組合せ', 'ゲーム']
apparent_keys = [['グラフ', '木', 'パス',],
[],
['半径',],
[],
[],
['文字列',],
['数列',],
... | [
"yk49at21@gmail.com"
] | yk49at21@gmail.com |
487513fd8ef86a8654f3a3e40630b7f94260bd8e | c0acdd673e8bf9aaf092df4191fdcf842ab3e036 | /NYC_maze/custom_gym/Nyc_maze/custom_env_dir/envs/__init__.py | af65cff4d979d2779ebf6570e66443be3755722e | [] | no_license | willemvdmierop/Reinforcement-Learning | c8d39b30538394f74cfe31ee52fda0c01c53057d | c77cc6be9a7a539ebf5c9945007502b35762129d | refs/heads/master | 2022-09-13T05:27:04.037560 | 2020-05-20T10:22:27 | 2020-05-20T10:22:27 | 262,002,957 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 51 | py | from custom_env_dir.envs.custom_env import NycMaze1 | [
"57663191+willemvdmierop@users.noreply.github.com"
] | 57663191+willemvdmierop@users.noreply.github.com |
d8707e704ff8707a580b5e6e7748f3b9db250115 | 0a514f1bbdaa4cf233a0aaf1c6665149d128aaf0 | /app/assumptions.py | 6787b960fa8e61b1d9b36b7dd67fddd3cea9933b | [
"MIT"
] | permissive | iliakur/revacom-time-tracking | a9cef0a548c28ae6930fdb32622c91cc4b352ad4 | da9c579950702fc9b97075397cd542f82baaa144 | refs/heads/master | 2021-09-07T20:26:10.110582 | 2018-02-28T14:03:48 | 2018-02-28T14:03:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,254 | py | """This module houses the various assumptions we made about the data.
Each assumption has a value that's used in computations and a description
which is rendered alongside the plots.
"""
from collections import namedtuple
Assumption = namedtuple("Assumption", "value description")
HOURLY_WAGE = Assumption(18, "Hourly... | [
"ilia.kurenkov@gmail.com"
] | ilia.kurenkov@gmail.com |
cf91cdc16f2fb074d25cf83f7c46e8743c783747 | 9117968b934788cf50c34687bb9ca44b336c0da9 | /create_tables.py | e29c525ac21b8237a66a37e40d19cf94616935c2 | [] | no_license | dodgerbluetx/DEND-Project-03-DWH_Warehouse | 86fd9ad6f6b617899ddf423110790b9a3d51808e | 7738fa363fc59c6abee5fccf01ec99162fb2fced | refs/heads/master | 2021-05-21T18:41:32.603956 | 2020-04-03T21:12:17 | 2020-04-03T21:12:17 | 252,756,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,820 | py | import configparser
import psycopg2
from sql_queries import create_table_queries, drop_table_queries
import time
import datetime
def drop_tables(cur, conn):
"""
Description:
Drops all existing tables from the database. Use the sql_queries script
to loop through each query defined in the drop_tabl... | [
"dodgerbluetx@gmail.com"
] | dodgerbluetx@gmail.com |
552739644e8aa16e04d99e55cefc9b2165171e59 | cf2031de10f3977e125a496c15a51278fa024a88 | /obp/__init__.py | abd2542d346207afd90439f52605dc0a86478ee4 | [] | no_license | onebadpanda/bambooCMS | 2f5b9de6b0db84652779fd79e80ffbe9775ce706 | 9c7ac4e547117007fdbc6882f08def5f2babb82e | refs/heads/master | 2021-01-13T02:16:02.640509 | 2013-09-11T22:26:39 | 2013-09-11T22:26:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 634 | py | __author__ = 'One Bad Panda'
from flask import Flask
from flask.ext.bootstrap import Bootstrap
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.login import LoginManager
from flask.ext.bcrypt import Bcrypt
from flask.ext.mail import Mail
from obp.helpers import config
app = Flask(__name__)
app.config.from_o... | [
"accounts@onebadpanda.com"
] | accounts@onebadpanda.com |
dc4fd27643cf2ca7fcb0ac3da88849a8dff81d7b | 5afd6c6176dd07590954e1c55e306a8625f1f8e5 | /Algorithm_RBF_SVM/test.py | 35e9404da043636f88078446a93c8db3c19b9b84 | [] | no_license | kennywarwick/AB104_Project | 51af30bd2ff1d6f9514d12f4e2ad2948ffa21e2d | c7d4e1f8f55eef2bb1ff87029648a763f474091d | refs/heads/master | 2021-01-19T13:05:43.185795 | 2017-02-18T05:38:46 | 2017-02-18T05:38:46 | 82,364,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,202 | py | #coding:UTF-8
from sklearn import datasets
import numpy as np
iris = datasets.load_iris()
X = iris.data[:, [2, 3]]
y = iris.target
print('Class labels:', np.unique(y))
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.3, random_state... | [
"kennywarwick@hotmail.com"
] | kennywarwick@hotmail.com |
adca33f02c86874ba164e94709be498774236d46 | c38f6839be97d342a66f0559fc66f2ab65e7205c | /e_learning/e_learning/settings.py | 8f9996a5fcc850d17587c7e82839c3280b211125 | [] | no_license | sudaratchoothong/Django | 547c7ef9cf33f4fd800f412fe281390137890bac | 9dedc0a4b30c1d79278695396e8bd48c60911396 | refs/heads/main | 2023-05-24T08:46:25.834948 | 2021-06-04T13:02:40 | 2021-06-04T13:02:40 | 373,839,897 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,368 | py | """
Django settings for e_learning project.
Generated by 'django-admin startproject' using Django 3.2.4.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from path... | [
"62239375+sudaratchoothong@users.noreply.github.com"
] | 62239375+sudaratchoothong@users.noreply.github.com |
50773c6b23c4705b4f3edad639670d29ebaa5917 | 1499e886df7221c0437f758c635108c5a4b7abc2 | /chapter2/testpa1.py | 66302fa5b26f8025b5d42fb08576e410420cb698 | [] | no_license | xasmall/learnpython | 3a80203676128f84ca620ceec34ca9a094a83813 | 7996da23ad7c2440d804873ad49499633482700a | refs/heads/master | 2021-02-09T13:07:00.774428 | 2020-03-09T13:44:15 | 2020-03-09T13:44:15 | 244,286,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 778 | py | # 常量与变量
import numpy as np
x = 5
# type函数用来判断变量的类型
print(type(x))
a = np.array((1,2,3,4,4))
print(a,type(a))
# 函数isinstance用来判断是否为指定类型
print(isinstance(x,int))
# python变量并不直接存储值，而是直接存储了值的内存地址或者引用，这也是变量类型随时可以改变的原因
x = 'Hello World'
print(x,type(x))
# **符号是幂乘符号
print(9**9)
# 在python中不用担心数值大小的问题，python支持任意大的数字
# p... | [
"xasmall@163.com"
] | xasmall@163.com |
ed3bffd9dc2b40019ddcc9d392071354c8932679 | 8296c565c9c89726d91c84066a6838ec488184a3 | /activity/apps.py | e7ad7077bd7b416b7a8283ebede27d06c4f63ab0 | [
"MIT"
] | permissive | intherenzone/CRM | eda0d61fa7d2a6cea8ca98c7ed1c71197680885f | d0f3cffed01e5fddfc39c2281b26b2f376b71152 | refs/heads/master | 2021-07-23T20:21:24.867151 | 2018-08-31T08:55:23 | 2018-08-31T08:55:23 | 109,323,324 | 2 | 12 | MIT | 2018-08-31T08:55:24 | 2017-11-02T22:00:34 | HTML | UTF-8 | Python | false | false | 96 | py | from django.apps import AppConfig
class ActivityConfig(AppConfig):
name = 'activity'
| [
"rmdalal@terpmail.umd.edu"
] | rmdalal@terpmail.umd.edu |
fdc34a5acdc9df05688e643c6e3939d0f1cfc1a2 | ca7162adc548c5937ebedd6234b40de7294e2da1 | /11-dababase/sqlite/createTable.py | b5b8058f153badef698c5a031aec4709f76832e6 | [] | no_license | meloLeeAnthony/PythonLearn | 03c259d745b1ccdc039e9999889ab54be14ae020 | 9915ec5bb7048712a97539a9c5bce8743567b22a | refs/heads/master | 2023-07-10T21:12:54.027143 | 2021-08-19T12:43:19 | 2021-08-19T12:43:19 | 289,487,502 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 908 | py | # coding=utf-8
'''
1.导入sqlite3模块
2.创建连接 sqlite3.connect()
3.创建游标对象
4.编写创建表的sql语句
5.执行sql
6.关闭连接
'''
import sqlite3
conn = None
# 创建连接
try:
conn = sqlite3.connect('e:/sqlite3Demo/demo.db')
print('连接sqlite库成功')
except Exception as e:
print('连接sqlite库失败：', e)
if conn is not None:
# 创建游标对象
cur = conn... | [
"li.chun158@gmail.com"
] | li.chun158@gmail.com |
4103d4cc9889ee55a23db3515cd70798133979fe | 0bb46fdef9e2592c8ee1db2ff5557fb1e752ef51 | /004-PySerial - MCU - Multi-Datareadings/001-Connection Manager Gui/Master.py | 5a65b861c8d55f52598e39303686ea09ee10f592 | [] | no_license | cemot/Python-projects | 4e87a60e22b2a094ab26c7e6025a8c52ddde40db | 70372e93eaa68cb864cb6df8f68a937183466be8 | refs/heads/master | 2023-09-03T21:58:48.639134 | 2021-10-30T08:47:05 | 2021-10-30T08:47:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 129 | py | from GUI_Master import RootGUI, ComGui
RootMaster = RootGUI()
ComMaster = ComGui(RootMaster.root)
RootMaster.root.mainloop()
| [
"ahmed.b.yahia@gmail.com"
] | ahmed.b.yahia@gmail.com |
4faff020878f3773727dcd93e8233c0c608bdc1f | c86276997c195babb6883a60fd65f61710f796f9 | /sitemaps.py | cdfd281f26ef9bd4b9281d757cf5ac9ceac85f02 | [
"MIT"
] | permissive | rajeev/lifeflow | c8e13e4daacb1d34eebabe79e6d48afe039a5c2c | b1de2a7b5b8a89042c1440b3e38092ef1241b9ca | refs/heads/master | 2021-01-21T01:35:15.284384 | 2011-03-22T19:15:50 | 2011-03-22T19:15:50 | 31,348 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 228 | py | from django.contrib.sitemaps import Sitemap
from lifeflow.models import Project, Entry
class ProjectSitemap(Sitemap):
changefreq = 'monthly'
priority = 0.9
def items(self):
return Project.objects.all()
| [
"lethain@gmail.com"
] | lethain@gmail.com |
af58c0947fd4a708d92040bc7e944baceb644ac2 | fbf9852be0e3eea688968732d668e0d850273d7c | /movingsprite.py | 849bc780b885efc4afebe795c73f00a535e8e3f2 | [] | no_license | LindseyB/IronTrotter | d4f5a31a90254237ea78eb0938822a4e3a3f1b93 | 81dda46ef0bef6a2540389effe2373b6993de9a5 | refs/heads/trunk | 2021-07-09T22:58:36.100428 | 2011-11-06T22:11:21 | 2011-11-06T22:11:21 | 2,717,646 | 3 | 0 | null | 2021-04-29T19:17:32 | 2011-11-05T22:31:24 | Python | UTF-8 | Python | false | false | 82 | py | class MovingSprite(Sprite):
def __init__(self):
Sprite.__init__(self)
| [
"joelthulhu@gmail.com"
] | joelthulhu@gmail.com |
dc902273ae2933bb19c51768b3e241dc49f467a0 | 0b4d6a29667767531993a92d496faa6e203744d2 | /test/lambda/test_closure.py | ca2f5557b0c5e96f6f5d51b29336b45dd95ccddb | [] | no_license | Qstar/PythonDemo | e2cc5bbd939980076d8fe70161f041081b58d9ed | 531ee70a5c44c1b37c59606cfa26fb634fcb697a | refs/heads/master | 2021-01-10T16:08:39.761110 | 2016-03-01T05:00:59 | 2016-03-01T05:00:59 | 49,189,376 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 187 | py | def count():
fs = []
for i in range(1, 4):
def f(i):
return lambda: i * i
fs.append(f(i))
return fs
f1, f2, f3 = count()
print f1(), f2(), f3()
| [
"davesla2012@hotmail.com"
] | davesla2012@hotmail.com |
06d91053430128ffbd2e417b7711666eb0bcf41a | 5dd47abf7061201d9378e73e51f08fbb314ba2fd | /envdsys/envdaq/migrations_old/0008_auto_20190215_2305.py | aaa12d1357f80fc2772ac6d5b38aa0b5464dee40 | [
"Unlicense"
] | permissive | NOAA-PMEL/envDataSystem | 4d264ae5209015e4faee648f37608d68a4461d0a | 4db4a3569d2329658799a3eef06ce36dd5c0597d | refs/heads/master | 2023-02-23T22:33:14.334737 | 2021-07-22T01:09:16 | 2021-07-22T01:09:16 | 191,809,007 | 1 | 0 | Unlicense | 2023-02-08T00:45:54 | 2019-06-13T17:50:03 | Python | UTF-8 | Python | false | false | 448 | py | # Generated by Django 2.1.5 on 2019-02-15 23:05
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('envdaq', '0007_auto_20190215_2300'),
]
operations = [
migrations.RemoveField(
model_name='devicedef',
name='contacts',
... | [
"derek.coffman@noaa.gov"
] | derek.coffman@noaa.gov |
1eb5b10cb25082008a50ed8a90198526794f3f9b | 531c47c15b97cbcb263ec86821d7f258c81c0aaf | /sdk/containerinstance/azure-mgmt-containerinstance/azure/mgmt/containerinstance/models/container_http_get_py3.py | d9ca73f638183794cf20b5a1d7c59793e37d8b7d | [
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later",
"MIT"
] | permissive | YijunXieMS/azure-sdk-for-python | be364d3b88204fd3c7d223df23756386ff7a3361 | f779de8e53dbec033f98f976284e6d9491fd60b3 | refs/heads/master | 2021-07-15T18:06:28.748507 | 2020-09-04T15:48:52 | 2020-09-04T15:48:52 | 205,457,088 | 1 | 2 | MIT | 2020-06-16T16:38:15 | 2019-08-30T21:08:55 | Python | UTF-8 | Python | false | false | 1,433 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | [
"lmazuel@microsoft.com"
] | lmazuel@microsoft.com |
98d78a39c33827858b38f1f2f131f06f0d92cb4f | 2869e231bfd772de7e47fa7d6001827d3689a956 | /main.py | caee9a82f2590df8d6fea123cf278de4fc85f098 | [] | no_license | maniha7/Tree-Growing-Algorithm | 60f5885e65dc5d0bb9e1869b47fadf76c1805cc4 | bf2cfff8a0b1a9eccfd415fe09b2e075eaa3f24f | refs/heads/main | 2023-07-15T21:18:48.703988 | 2021-08-30T03:01:34 | 2021-08-30T03:01:34 | 401,198,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,146 | py | import GUI
import pygame
import time
window = GUI.window()
running = True
updateTime = .02
totalTime = 0
frames = 0
window.update(window)
while running:
for event in window.getEvent():
#Close button control
if event.type == pygame.QUIT:
running = False
if ev... | [
"noreply@github.com"
] | maniha7.noreply@github.com |
56cf8ff351ab1fd980ea23f382c4d20c3cb58b12 | dcb69e7c8797452faccef3a7a734704a2f9003a1 | /backendCode/checkServerSendEmail.py | 3f289f362640fb2e886f66568f8672fddebef39a | [
"MIT"
] | permissive | VenuDhanekula/ServerMoniteringSendEmail_Python | e1ef29387c08494156f51c3801258db9257a5ac8 | af513d344e557184d452187a1637574c46e42dd5 | refs/heads/main | 2023-06-24T07:09:13.385898 | 2021-07-20T05:07:18 | 2021-07-20T05:07:18 | 385,324,133 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,068 | py | import socket
import ssl
from datetime import datetime
import pickle
import subprocess
import platform
import time
from cfonts import render, say
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
fromEmail = ""
fromEmailPassword = ""
toAddress = ""
sendMsg = ""
sen... | [
"noreply@github.com"
] | VenuDhanekula.noreply@github.com |
457250d127baadba74520507947c42def886bb27 | 50720f40c10250d22c1f35bf8de70d2106b3bc23 | /a.py | 6b5b604caccbce77f155c88cb2840cb096bade3d | [] | no_license | prodduturisunilkumar/learngit | fa3d267e618a1bf08274d4ed4de5203382e64b43 | 0a2355ddb7f52231719c5faa2f5346376fb0a06e | refs/heads/master | 2022-04-11T04:49:46.842775 | 2020-01-06T03:14:05 | 2020-01-06T03:14:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 113 | py | print("new file added")
print("Hellow india this is my new line of code")
print ("This is third line of code")
| [
"dharmendra.shahi@gmail.com"
] | dharmendra.shahi@gmail.com |
8222a2b1b2d92963a0ecee0f6acd6262561963ae | 78a236813008ef6d45a65c8ba434a244d8fae1ef | /simple_svm.py | c59a653ab792826cb5ac1a3c0fb83229ac2070d2 | [] | no_license | fariagu/gFaceRec | 39711cfc346ecdad4a74a090dcb0b8dcd41609d2 | 4319b007e45c133be7d7d96ddf26a86312cff438 | refs/heads/master | 2022-01-08T14:15:09.183756 | 2019-06-24T14:03:39 | 2019-06-24T14:03:39 | 175,869,936 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,636 | py | from __future__ import absolute_import, division, print_function
import keras
# import numpy as np
from load_celeba import load_vectors
from model import vgg_svm, facenet_svm
from euclidean_db import TRAIN, VAL
from vector_generator import VectorGenerator
import utils
def svm():
print("#########################... | [
"gustavoduartefaria@gmail.com"
] | gustavoduartefaria@gmail.com |
eee09dab526ded1662ea8f92a60561895c5df59d | a49731805f9b30a1294d67fc078b780fd2f2a91d | /fitmodel/ExtractDandekarData/mouse_tracker_user32dll.py | 1b559859b5ee6c665e7b7cfaf79403165d72c0b0 | [] | no_license | yw5aj/HS2014 | cf74dd18d5902799da1aacf6f8c875afd98a84f9 | 9901aa37e3801f7654489100e2fc3cbf63b9ccaa | refs/heads/master | 2021-06-06T08:56:26.294778 | 2015-09-29T15:17:49 | 2015-09-29T15:17:49 | 25,499,189 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 3 20:55:22 2013
@author: Yuxiang Wang
"""
import ctypes
import time
User32dll = ctypes.windll.User32
def main():
pass
class POINT(ctypes.Structure):
_fields_ = [
('x', ctypes.c_ulong),
('y', ctypes.c_ulong),
]
def timer_tick():
... | [
"yw5aj@virginia.edu"
] | yw5aj@virginia.edu |
7e94fa976fa69e30a6a8fecb112d0151ab64e36a | 14d66cef63d9e540f4a7dd76e8810b7f39c9e536 | /viewer.py | 81b3111c4649653ed33f54c8cbfa293e9a3acd44 | [
"MIT"
] | permissive | YarinAVI/GraphLayout | 5327daebdb45f8273cf75c53341bc02f42d293c7 | 187ea93b06730186ec25dd71a28dd2ccdfaa4a7c | refs/heads/master | 2021-06-17T04:21:02.746604 | 2017-05-31T16:23:20 | 2017-05-31T16:23:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,692 | py | import layout
import render
import wx
TESTS = [
[('t', 'te'), ('t', 'ti'), ('t', 'to'), ('te', 'tea'), ('te', 'ten'), ('tea', 'team'), ('ti', 'tin'), ('tin', 'tine'), ('to', 'ton'), ('ton', 'tone')],
[(5, 11), (11, 10), (11, 2), (3, 10), (3, 8), (8, 9), (11, 9), (7, 8), (7, 11)],
[(1, 2), (1, 5), (2, 5), (... | [
"fogleman@gmail.com"
] | fogleman@gmail.com |
22517e0b31686d302d52dab1d9967ded3e843d4d | 33f802221bbfc18cf464605eb1577a5975fad532 | /Convolution.py | 06c02ffdeb0add65b527fe820b54c09917bb9116 | [] | no_license | GeorgeKAHChen/ImageProcessing_basic | d078a1c0859184ee1a6f1863b4087bd843ab2aaf | fa50e074541a17c6ab6c8f57ff5d1573d8330b0c | refs/heads/master | 2023-01-29T23:21:44.701408 | 2020-12-14T19:26:18 | 2020-12-14T19:26:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,569 | py | #=================================================================
#
# Image Processing - Convolution
# Copyright(c) KazukiAmakawa, all right reserved.
#
#=================================================================
#Just For Convolution
#import head
#import files
from PIL import Image
import numpy as np
impo... | [
"KazukiAmakawa@gmail.com"
] | KazukiAmakawa@gmail.com |
ef5b018a2b5ea2a4f02c3054530d9c410298db2c | bc5d0c3e950ebd9a7fbd33fbbcad94979cbe344f | /src/scratch.py | 1e0bc9d7ea1f286057ac7e65ffcc5322727de2fe | [
"Apache-2.0",
"LicenseRef-scancode-public-domain"
] | permissive | bgshin/bert | 44e7b23016087e7fda6396bd4432188918d2af28 | 5d13d62909f120ec097c606a0366b49887ea1baf | refs/heads/master | 2020-04-06T11:41:44.788854 | 2018-12-03T04:48:56 | 2018-12-03T04:48:56 | 157,426,269 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,344 | py | import os
import numpy as np
import tensorflow as tf
import collections
import tokenization
from run_classifier import SstProcessor, file_based_input_fn_builder, model_fn_builder, file_based_convert_examples_to_features
import modeling
import cPickle
def get_model_size(ckpt_fpath):
# Open TensorFlow ckpt
read... | [
"nomolos79@gmail.com"
] | nomolos79@gmail.com |
4b3d6091baf81a56f00a99b113e94d36fc4d0a98 | 2f03a01a2ee2e1a0ad5abc3bda1e2643d5adeb3f | /day48/day48/代码/upload_demo/upload_demo/wsgi.py | f7ef4edc376a937b01964f022143d190766094fb | [] | no_license | yanglichuan/python2020 | f410b46dda2d2ef9b057538f64579f41307cbc37 | 4a92f474d7f4cc33550a28027dab880d28ab01b6 | refs/heads/master | 2022-11-07T08:19:52.987135 | 2020-06-20T10:33:57 | 2020-06-20T10:33:57 | 273,687,134 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 400 | py | """
WSGI config for upload_demo project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_... | [
"yanglichuancom@163.com"
] | yanglichuancom@163.com |
85e6cb4cc8dae6e639a5c3750df35f75e082c348 | 1f513c3a2a7b5402e516349305444e7c42a1a082 | /src/khetha/templatetags/khetha_tags.py | 19fdd374e7bc27f2858b601c6e3b45826473b53c | [] | no_license | kurhula/khetha-django | 2232428559e4da96d19a0804410538d0b42b85c1 | 78140e57ddf25235f2524fbcdf387791621408c8 | refs/heads/master | 2022-09-18T18:03:30.517501 | 2019-06-10T10:44:39 | 2019-06-10T10:44:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 666 | py | from typing import Optional
from django import template
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from khetha import models
register = template.Library()
@register.filter_function
def get_submission(task: models.Task, user_key: str) -> models.TaskSubmission:
"""
... | [
"pjdelport@gmail.com"
] | pjdelport@gmail.com |
f12f76d49dc837c768feabfd67bec5794c2dac39 | d8d158c5f480597c61bd3de49a851a57d1505803 | /src/appflame.py | dfdc7692fee19778c156b0ea397975b384fa4b4d | [
"MIT"
] | permissive | danilpolkov/appflame | 176530159a868205702b9d0eeb57da85eb79add4 | 63c2de8d8370e99cf6109407577a1317e8fed807 | refs/heads/master | 2022-04-18T06:01:33.500034 | 2020-03-30T15:51:40 | 2020-03-30T15:51:40 | 250,564,729 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,794 | py | import pandas as pd
import numpy as np
from sklearn.model_selection import cross_validate, KFold
import tensorflow as tf
import datetime
from sklearn.metrics import roc_auc_score, classification_report, confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sns
def score_models(models,
X_... | [
"danilpolkov14@rambler.ru"
] | danilpolkov14@rambler.ru |
d8076a8e859df2ada5418bebf40ccae6440c1011 | 6ebe3da55a6968fb1fe4a4bbc0e191c1238f4df2 | /process_demo_2.py | 4c15e699e5f977276bb0986eee0391ebf1a29dce | [] | no_license | phuoctan4141/object_detection_multiprocessing | 6dcedd00060fda7acf8e88844955f672c7c698a9 | c8160244483e94eb32da2ea26332bd8b479fd1cc | refs/heads/main | 2023-08-30T22:00:52.849123 | 2021-10-29T08:13:53 | 2021-10-29T08:13:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,979 | py | #=================================================#
# Welcome to the object detection multiprocessing #
# Author: phuoctan4141 #
# Date: 28/10/2021 #
# Version: 0.2.0 #
#=================================================#
# # Imp... | [
"noreply@github.com"
] | phuoctan4141.noreply@github.com |
6a7c973e23617cebf19961a67061736ba73b34f2 | 93c07eaf88192ab25c51ee3a7b0b093a6819aec8 | /playsound.py | e4c5820e4c8e5558c8370f0b403778b9e2dbcc4e | [
"MIT"
] | permissive | raymondchiang/Maze | 5412423d3d57113c88149c25d994032d8e223077 | 880305f85af8e3d796b96fa4027d3370797c902d | refs/heads/master | 2021-01-15T15:53:35.674394 | 2016-09-26T15:51:53 | 2016-09-26T15:51:53 | 68,802,086 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,222 | py | class PlaysoundException(Exception):
pass
def _playsoundWin(sound, block = True):
'''
Utilizes windll.winmm. Tested and known to work with MP3 and WAVE on
Windows 7 with Python 2.7. Probably works with more file formats.
Probably works on Windows XP thru Windows 10. Probably works with all
vers... | [
"anthonyfu117@hotmail.com"
] | anthonyfu117@hotmail.com |
13f3141de310f21595adf3f9b08de27b6a9f98f6 | d18690631d2cddd4eb4ad492f00842401b39982a | /nn-models/gaussian_model.py | f85d333de0c56b87bd0bbaabef105e53adf869c0 | [] | no_license | qocml/gaussian-models | 4c14248863554a193ed593b789843e155171ba2a | deb598eed81b806164e80f284bc5fa324ca56a33 | refs/heads/main | 2023-02-17T17:44:33.164400 | 2021-01-17T22:35:32 | 2021-01-17T22:35:32 | 330,497,674 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,173 | py | import os
import sys
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import tensorflow as tf
import tensorflow.keras.backend as K
sys.path.append('../')
import library
from contextlib import redirect_stdout
# log errors to a .txt file
library.error... | [
"charles.kerwin17@imperial.ac.uk"
] | charles.kerwin17@imperial.ac.uk |
fcde56f5caa9fafff9fc91efed3e8af4a7d75bd0 | 8bda61018d192c81293c6a1aaf7fd698b80da6af | /CBVTest/CBV.py | f8ee34df33db2d651ec39d94c9cb3f87c3b971f1 | [] | no_license | linhong1999/DRF | 7b4c531ea8a28b1ddf98a0ecefc62822f0bb981d | 11dbe48d5fc92545e7937f6ed6321cd63c566321 | refs/heads/master | 2022-11-08T09:06:06.530700 | 2020-06-20T12:31:55 | 2020-06-20T12:31:55 | 273,216,484 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,404 | py |
# from django.views import View
#
# class Tester(View):
# def get(self,req):
# print('----get----',req.GET)
# return HttpResponse('i am get')
#
# def post(self,req):
# print('----post----',req.POST)
# return HttpResponse('i am post')
from . import models
from .serializers impor... | [
"1219772706@qq.com"
] | 1219772706@qq.com |
8ec1b7d0710dbf9034914a5774a2e88cd5f9ed1c | a768f03d8e2dc5c370e89e17f06e63caa637a07b | /test/test_publish.py | fde9ff8daade4408033a54260a28a1e2743a99da | [
"CC0-1.0",
"LicenseRef-scancode-public-domain"
] | permissive | alexsoble/federalist-garden-build | c73fcc64476decb6d87d2de262047c4bb7537045 | a8173ee62f2666e842327633c8b18a6e9304589d | refs/heads/master | 2020-04-19T12:17:22.617529 | 2019-01-03T21:11:51 | 2019-01-03T21:11:51 | 168,188,225 | 0 | 0 | null | 2019-01-29T16:31:55 | 2019-01-29T16:31:55 | null | UTF-8 | Python | false | false | 1,656 | py | import boto3
import pytest
from unittest.mock import Mock
from moto import mock_s3
from invoke import MockContext
from tasks import publish
from tasks.common import SITE_BUILD_DIR_PATH
TEST_BUCKET = 'test-bucket'
TEST_REGION = 'test-region'
@pytest.fixture
def s3_conn(monkeypatch):
with mock_s3():
mon... | [
"james.seppi@gsa.gov"
] | james.seppi@gsa.gov |
32653ad830feb7203f7ef056ce7eb76d916231b8 | 6928030da6bd3c7fe49f43f46f3e511e0a8c3e03 | /syed_praw2.py | 3ec9fa9d7e735b71932ec3f8f6367132ad16b63d | [] | no_license | moin2672/PRAW | 09df47cac239d02b76c06ef0d26f6d487b7c1e21 | 19e1b44192dd7d7d566243f2c406559f1e8f1659 | refs/heads/master | 2020-03-14T22:15:10.591698 | 2018-05-05T02:34:59 | 2018-05-05T02:34:59 | 131,816,810 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 765 | py | import praw
reddit = praw.Reddit(client_id='jgF2ebrSIHroxw',
client_secret='y-oWddqWsBEWz_GO9kzd4EUBaEc', password='Mar@1234',
user_agent='syedPraw', username='syed2672')
subreddit = reddit.subreddit('news')
# for comment in subreddit.stream.comments(): # to get stream of... | [
"moin2672@gmail.com"
] | moin2672@gmail.com |
b527542494737973e32c6f0171b08ec37f1044be | 197bb3c8e9dea5f45639e0b29fd695667349fd43 | /OpenCV/Face_recog_haarcascades.py | c43074af6616f985ac1a2d6f69fa8c16f227513c | [] | no_license | Frankenstien-hack/Machine_Learning | 63fcc4587f6f95549dccc631b35a2524abffc15d | c2c2c142566e4967dbbb8a9f2faeaff18cbaa164 | refs/heads/master | 2020-05-31T02:03:53.298152 | 2019-09-30T10:18:25 | 2019-09-30T10:18:25 | 190,058,485 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 609 | py | import cv2
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
while True:
ret,frame = cap.read()
grayframe = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
if ret == False:
continue
faces = face_cascade.detectMultiScale(grayframe, 1.3, 5)
for... | [
"“sid15798@gmail.com”"
] | “sid15798@gmail.com” |
d16be220437b74d2c1351c55bb1865a3ab96a1d1 | be33e33b6cd913efb3f46405035267cd8bec47cd | /openhgnn/trainerflow/semi_node_classification.py | c5ac2e475e2c97d9f305f7d8902aded58d1febdc | [] | no_license | Theheavens/OpenHGNN-DGL | 83498c5afd643b53684d0a318970aa4cd4bab546 | 71e80b91858968361f0d5d31b114df681d85a218 | refs/heads/master | 2023-04-13T14:53:12.048854 | 2021-04-27T13:30:29 | 2021-04-28T04:03:20 | 333,628,955 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,697 | py | import argparse
import copy
import dgl
import numpy as np
import torch
from tqdm import tqdm
import torch.nn.functional as F
from openhgnn.models import build_model, MLP_follow_model
from . import BaseFlow, register_flow
from ..tasks import build_task
from ..utils import extract_embed
@register_flow("semi_supervise... | [
"theheavenszhao@outlook.com"
] | theheavenszhao@outlook.com |
2d619ecda01e753381fa8fcd3dee22459f4c67f0 | 9c31671ad64b43e05b14a32d36fa2fc92f791ba4 | /test_src/twist_msg_code_from_aristobot.py | ddd773b07c55732dde15567372db37b6bcda9b1b | [] | no_license | aanickelson/osu_semantic_mapping | cc9710a07c14cc3d3a0f28d29855b4b9baf3b187 | 44e2522db6ee8500a40de836199a3d9e6e6c463e | refs/heads/master | 2021-08-10T04:02:49.090064 | 2020-10-04T22:25:59 | 2020-10-04T22:25:59 | 225,964,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,928 | py | #!/usr/bin/env python
import rospy
# The velocity command message
from geometry_msgs.msg import Twist
# The laser scan message
from sensor_msgs.msg import LaserScan
import neural_network as neu_net
from parameters import Parameters as p
import numpy as np
class SendGoal():
def __init__(self):
# initili... | [
"aanickelson@gmail.com"
] | aanickelson@gmail.com |
93edbd54c29bdfaccf1081f515c11bf183587402 | a651b356c2be9b360f2e7e307d151309b1f6dfc9 | /Basic/evenorodd.py | 33cba859e257b2c8d1070b5ee13aca41fcf3237a | [] | no_license | GuduruDhanush/Python | 35ea459a8470b7be5cde4890b946d17b89ac42a8 | a79b02f7f94c85af238eaa4ee5f8164baa456d51 | refs/heads/main | 2023-05-31T09:54:54.564669 | 2021-06-09T16:46:09 | 2021-06-09T16:46:09 | 367,579,499 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | num = int(input('Enter a number: '))
if num % 2 == 0:
print('Entered number is a EVEN number')
else:
print('Its a ODD number')
| [
"noreply@github.com"
] | GuduruDhanush.noreply@github.com |
22fda3589f0f16889117c8856f6252efba58ec44 | a779e49f44a81821af7464f32c11790f415b9b27 | /database/temp.py | 4b0204fa3d159071b9d0a4dbd63581eab640ad77 | [] | no_license | psp2108/LOC_16032019 | 5c3b57b5c71dc446d5585dde99ff2ff7e0d9448b | 1ad8193f4f999ce0eab81335ffb7990548db6e58 | refs/heads/master | 2020-04-29T02:29:23.686581 | 2019-04-15T19:11:46 | 2019-04-15T19:11:46 | 175,769,745 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 296 | py | # import random as r
# l = []
# for i in range(10):
# z = r.randint(0,10)
# while z in l:
# z = r.randint(0,10)
# print("**")
# l.append(z)
# print(z, l)
a = "SDFsdf sdfsee eSEf sdSDFe EFfs'a"
b = a.lower()
b = b.replace(" ", "")
b = b.replace("'", "")
print(b) | [
"pratik.sp.1112@gmail.com"
] | pratik.sp.1112@gmail.com |
72093db05ef36ba4b5961bef354dc7a48dcaaeed | 9e14eb2b71c68dab88ed259cd5e3bafd5dc63742 | /Server Side Data Retreval/GoDaddy Writer/sensor simulator.py | d98751a331189116ebd270162da3f6d63bece4cf | [] | no_license | djentleman/Data_Retreval_Project | eff781591c5ed93a7508c69f9f32e7772ecac05c | d926a6c018f2ef9499dbb0650b2cb14dd7af9775 | refs/heads/master | 2021-01-23T13:57:13.697636 | 2013-06-02T01:03:25 | 2013-06-02T01:03:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 625 | py | ## Car Data Retreval Project
## Author: Todd Perry
## Simulation Of Sensors
import random
import time
def getStringToWrite():
# init random number generator
toWrite = ""
for i in range(20):
rand = random.randint(1, 100)
toWrite = toWrite + str(rand) + ", "
print(toWrite)
return to... | [
"up612136@myport.ac.uk"
] | up612136@myport.ac.uk |
bb6082d298738c05df9d0bc8277b953b554034c4 | 0297ccf09950fd5eeea9b57d727cec2d59e741c6 | /Part2/LinearDiscriminantAnalysis_LDA.py | ad7b6d5aa9254e62d27cf2ce6383f2824f980e03 | [] | no_license | nanshiqiu233/ML-Python- | 4d576457beec755ae10bcadd1d845e78ec456b12 | 37beae3d5168219d47d216dab4cc61a5dbe70a99 | refs/heads/master | 2020-12-13T17:46:59.022554 | 2019-10-29T09:03:12 | 2019-10-29T09:03:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,166 | py | #!/usr/bin/env python
# coding: utf-8
# 将样例投影到一条直线上，使得同类的样例投影点尽可能小，不同类投影点尽可能远离
# In[1]:
import os
import sys
import numpy as np
import operator
import matplotlib.pyplot as plt
get_ipython().run_line_magic('matplotlib', 'inline')
# In[3]:
group1 = np.random.random((8,2))*5+20
group2 = np.random.random((8,2))*5+... | [
"44227778+wenhan123@users.noreply.github.com"
] | 44227778+wenhan123@users.noreply.github.com |
3a9cb5d26818969cfb8af7ed4edd0f0d30c3c771 | 2fd0c65aa0f72133f773dac5d9a5c48fe9e26fac | /Python/Core/Lib/encodings/utf_32_be.py | f84e9045e1470bfbee6b819f251ac345d9b60040 | [] | no_license | FingerLeakers/DanderSpritz_docs | f5d2430e0b86b1b2f0684f02ddd4fa973a5a7364 | d96b6a71c039b329f9f81544f645857c75360e7f | refs/heads/master | 2021-01-25T13:05:51.732149 | 2018-03-08T01:22:49 | 2018-03-08T01:22:49 | 123,527,268 | 2 | 0 | null | 2018-03-02T03:48:31 | 2018-03-02T03:48:30 | null | UTF-8 | Python | false | false | 1,048 | py | # uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.10 (default, Feb 6 2017, 23:53:20)
# [GCC 4.2.1 Compatible Apple LLVM 8.0.0 (clang-800.0.34)]
# Embedded file name: utf_32_be.py
"""
Python 'utf-32-be' Codec
"""
import codecs
encode = codecs.utf_32_be_encode
def decode(input, er... | [
"francisck@protonmail.ch"
] | francisck@protonmail.ch |
0e3e32f77124f0e14236d74d16a1a23002091b70 | ae10b60cb92a69146bfb05ef5dde735a0aa45d4b | /examples/Extended Application/matplotlib/examples/userdemo/annotate_simple_coord02.py | c8424d6389371288876249d81040115991437882 | [
"MIT"
] | permissive | kantel/nodebox-pyobjc | 471cea4c5d7f1c239c490323186458a74edcc214 | 068ba64c87d607522a240ab60c3ba14f869f6222 | refs/heads/master | 2021-08-14T18:32:57.995445 | 2017-11-16T13:42:23 | 2017-11-16T13:42:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,429 | py | """
=======================
Annotate Simple Coord02
=======================
"""
import matplotlib.pyplot as plt
# nodebox section
if __name__ == '__builtin__':
# were in nodebox
import os
import tempfile
W = 800
inset = 20
size(W, 600)
plt.cla()
plt.clf()
plt.close('all')
def ... | [
"karstenwo@web.de"
] | karstenwo@web.de |
ffabd2487c7b9698475b0ebf663f97afebe11c6a | 0f7666900a3d203481b1009fe3d9dd2186938c30 | /gpu-example.py | e89103c48573461470473750392cc1d8d4e2ed0b | [] | no_license | MZ195/Cupy-GPU-Example | 4a7d99c25e9d26213c3f27b6618b6f8c8cbc4393 | 108b920848e60b3e2706749ca97404572433e130 | refs/heads/master | 2022-10-29T23:45:48.093569 | 2020-06-13T21:09:04 | 2020-06-13T21:09:04 | 272,086,332 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,070 | py | import numpy as np
from timeit import default_timer as timer
from numba import vectorize
NUM_ELEMENTS = 100000000
# This is the CPU version.
def vector_add_cpu(a, b):
c = np.zeros(NUM_ELEMENTS, dtype=np.float32)
for i in range(NUM_ELEMENTS):
c[i] = a[i] + b[i]
return c
# This is the GPU version. Note th... | [
"40984264+MZ195@users.noreply.github.com"
] | 40984264+MZ195@users.noreply.github.com |
5f7b5d879661da4d33ed30eb21d0d69aa00bb33a | 4241be91e6e583db9b07141c7a6cd1c6e469d08b | /flask_app.py | 7f1b3d550457228cfb5d4d3c54a6ec3f648975ce | [] | no_license | DanialK/performant-python-services | ed58a6a9c4423f72d6049cf2526c374c4e1a0650 | 11d6c6e4985193d0752299b6a4f7c15e727ccaff | refs/heads/master | 2020-07-30T04:13:27.420186 | 2019-10-28T23:26:26 | 2019-10-28T23:26:26 | 210,082,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | from flask import Flask, jsonify, request
from models.resnet import load_model, score_model
model = load_model()
app = Flask(__name__)
@app.route('/score', methods = ['POST'])
def test():
try:
json = request.get_json(force=True)
x = json["data"]
result = score_model(model, x)
resp = jsonify(result)... | [
"dani_khosravi@yahoo.com"
] | dani_khosravi@yahoo.com |
f9af22c774b099ca496233053fcc8f7aed9459e7 | 16cba95a472b259539d20b2c759e074c58edde7b | /FractalLand.py | 2e3a0cf5531f7294bcbaa0b322ae61f71ec8a9de | [] | no_license | Revakk/Fractal_land | 850be1b483bb568f47ddc343581f589fec728c36 | eb695eb73521bdf42be3ea43db9fb9c81cdbf22e | refs/heads/main | 2023-03-16T18:48:49.732643 | 2021-03-10T10:30:36 | 2021-03-10T10:30:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,027 | py | #import pozadovanych knihoven
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from numpy.random import uniform
import queue as q
import random
iters = 6 #pocet iteraci
n = (2 **iters)+1 # velikost zakladni plochy
def getMiddlePoint(grid, a): # pro kazdy stredo... | [
"noreply@github.com"
] | Revakk.noreply@github.com |
96dd863b8031c6a496b392628fe578ea29d4305a | 7781f8d0dbcfbffa25d7fe0d6eb4087895d9e8c0 | /merge_sort_raw.py | 6183c569abe90f7e1aaece3e8d74bd17090827e8 | [] | no_license | xybu/algorithms | 4a932de0b2bab0a2a49fc3bf996827e96f77fac5 | c3c248a4d57745260a33b77c4726120acecb5c08 | refs/heads/master | 2021-01-01T15:44:09.916338 | 2014-09-26T14:08:43 | 2014-09-26T14:08:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,163 | py | #!/usr/bin/python
def merge(A, start, mid, end):
# print 'merge({0}, {1}, {2}, {3})'.format(A, start, mid, end)
left = A[start:mid + 1]
right = A[mid + 1: end + 1]
i = 0
j = 0
k = start
# print 'left: {0}\nright: {1}\n'.format(left, right)
while i < mid - start + 1 and j < end - mid:
# print i, j
if left[i... | [
"xybu92@live.com"
] | xybu92@live.com |
31e36abf085c1f9a230b668343ec294935b1c1da | 91fe8f479fa921fa84111d19222a5c6aa6eff030 | /apps/django-web/learning_log/ll_env/Scripts/django-admin.py | 8785f03fb524b48fbb8c6393ffc1f4c9ea3ed203 | [] | no_license | romanticair/python | 2055c9cdaa46894c9788d5797643283786ed46dd | 6f91fe5e7cbedcdf4b8f7baa7641fd615b4d6141 | refs/heads/master | 2022-11-03T17:17:17.608786 | 2019-07-05T07:07:29 | 2019-07-05T07:07:29 | 195,356,190 | 0 | 1 | null | 2022-10-14T20:51:14 | 2019-07-05T07:00:33 | Python | UTF-8 | Python | false | false | 183 | py | #!l:\mypythonprogr\somepythonprojects\learning_log\ll_env\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"1024519570@qq.com"
] | 1024519570@qq.com |
4afd131ba1b29911502faa5905ca336fef0ef91c | f333d4c3fb0ef1b2a01e990669cb5484d14ee31a | /bookmarks/settings.py | 615f8fe75224b9c035b5cd2f9cfa98ce07b973aa | [] | no_license | regia/bookmarks | 6e1c2d9049c7f81b6ce9d4c1490444d8c3fdcb32 | 51cb3a6241cc073c20df6a5dc03b7bb5604d0a20 | refs/heads/master | 2016-09-10T20:26:25.381759 | 2014-11-25T17:13:28 | 2014-11-25T17:13:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,132 | py | """
Django settings for bookmarks project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
... | [
"regedi@gmail.com"
] | regedi@gmail.com |
2774ebc8bdb0a6e731802f0ae87f3e68d4f19438 | ba582b224547b3fb88edb3c6aa541d9fb881b41a | /apps/residencias/forms.py | c026082864b02f7c3de9c6d7dd8c62410675f2f2 | [] | no_license | Pastorsin/home-switch-home | b2f246909a1a5f9bb53e6258a36dc4147452ffc6 | 2731a11b48976681c45e5e68bbcb1f914e9611e4 | refs/heads/master | 2023-05-31T05:40:09.876205 | 2021-06-16T14:31:35 | 2021-06-16T14:31:35 | 175,094,209 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,272 | py | import calendar
from django import forms
from datetime import timedelta, datetime, date
from django.core.exceptions import ValidationError
from .models import Residencia, Ubicacion
class UbicacionForm(forms.ModelForm):
class Meta:
model = Ubicacion
fields = ('pais', 'provincia', 'ciudad', 'calle'... | [
"andressmilla@gmail.com"
] | andressmilla@gmail.com |
7a8be118af3bc78c1d1889f331910c9f24a76deb | 14b0b90f825a2edeca77d53a848eff222116ba1c | /blogs/urls.py | 149c6444bcb3356518a83dc677c8bacd9861757c | [] | no_license | Suphacha2563/Project | 2f2d191f143d604696a9c75bfe44cd2c7d6be1cb | bfa92ddc20cc2d270811def3b38f2a3c408af334 | refs/heads/main | 2023-08-28T17:22:24.919695 | 2021-10-27T17:35:12 | 2021-10-27T17:35:12 | 407,267,251 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 335 | py | from django.conf.urls import url
from blogs import views
urlpatterns = [
url(r'^api/bus$', views.dataBus),
url(r'^api/busStop$', views.dataBusStop),
url(r'^api/dataGraphBusstop$', views.dataGraphBusstop),
url(r'^api/rout$', views.dataRout),
url(r'^api/dataCarFindMylocal$', views.dataCarFindMylocal,... | [
"75459344+Suphacha2563@users.noreply.github.com"
] | 75459344+Suphacha2563@users.noreply.github.com |
0a8bd7608db9b29c07d9adbc6e136ba7c4662200 | 35e28d7705773eed54345af4440700522c9d1863 | /deps/libgdal/gyp-formats/tsx.gyp | b8f05037aec95a26a96a811114431a86f6467c1c | [
"Apache-2.0"
] | permissive | naturalatlas/node-gdal | 0ee3447861bf2d1abc48d4fbdbcf15aba5473a27 | c83e7858a9ec566cc91d65db74fd07b99789c0f0 | refs/heads/master | 2023-09-03T00:11:41.576937 | 2022-03-12T20:41:59 | 2022-03-12T20:41:59 | 19,504,824 | 522 | 122 | Apache-2.0 | 2022-06-04T20:03:43 | 2014-05-06T18:02:34 | C++ | UTF-8 | Python | false | false | 245 | gyp | {
"includes": [
"../common.gypi"
],
"targets": [
{
"target_name": "libgdal_tsx_frmt",
"type": "static_library",
"sources": [
"../gdal/frmts/tsx/tsxdataset.cpp"
],
"include_dirs": [
"../gdal/frmts/tsx"
]
}
]
}
| [
"brian@thirdroute.com"
] | brian@thirdroute.com |
5fdd3da197b5e63c8464b26248a21637cc070214 | 9dd45a0f91afc5c276fac35a28c9c19f20adb426 | /Week4/Electrostatics.py | a1a794d26410bc61338f265981a9ad1a202eae4d | [] | no_license | rcantwel/PHYS202-S13 | 294cc9f9f8d10e70e25353a101b9b982e6a0bfd8 | 423c4503432073ebdbe589942e94eb2b5c628a17 | refs/heads/master | 2016-08-03T13:53:20.181925 | 2013-06-15T03:42:51 | 2013-06-15T03:42:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 637 | py | import numpy as np
k= 8.99*10**9
"""This function will tell you the voltage based upon the location of the charges"""
def pointPotential(x,y,q, posx, posy):
Vxy = (k*q/((x-posx)**2+(y-posy)**2)**(1/2.))
return Vxy
def dipolePotential(x,y,q,d):
V1 = pointPotential(x,y,q,-d/2,0)
V2 = pointPotential(x,y... | [
"rcantwel@calpoly.edu"
] | rcantwel@calpoly.edu |
8fb5822fa3aab09eceb845da372e5086be020332 | 220991f935dd7ff0972913da1e60e3d529d4a99c | /lectures/L13/setup.py | 34e5f0cd6671f33669bbacb9d5aaf4a67b9f3f70 | [
"MIT"
] | permissive | hvongsachang/cs207_hurlink_vongsachang | 93558d0357df86acfadcb7ff9843cc8f3cdd2a85 | ffaa80ac5fdc0bdb1eaf31bd39d76f7533aa7101 | refs/heads/master | 2020-03-28T04:11:36.218990 | 2018-11-25T09:12:08 | 2018-11-25T09:12:08 | 147,699,584 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 663 | py | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="complexproj_hvongsachang",
version="0.0.1",
author="Hurlink Vongsachang",
author_email="hvongsachang@college.harvard.edu",
description="A small example package for complex numbers",
lo... | [
"hvongsachang@college.harvard.edu"
] | hvongsachang@college.harvard.edu |
4bf586e3a00c46ee55de742f390939aaa6f5c0cd | 0c90738d49e6a38ac7d90ea5e44e838a14ded8f5 | /Biblioteca.py/Biblioteca.py | 46ed48d97fe147aab24b992c548cad89e8604466 | [] | no_license | matias1543/Biblioteca-en-C-y-Python. | 3bcd0abbab6d8aa647b9185a1ac423d38bd942c3 | b246b7dbe372b503914f85e3758ff6976a0556d3 | refs/heads/master | 2021-07-21T08:14:17.403732 | 2017-10-24T13:39:05 | 2017-10-24T13:39:05 | 108,004,449 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,562 | py | #BIBLIOTECA
libros = {
"Principito" : ["Titulo: Principito","Genero: Fantasia", "paginas: 20", "Autor: Raul", "Numero ISBN: 12312123", "Año de edicion: 1994", "Editorial: IZI"],
"El padrino" : ["Titulo: El padrino","Genero:Ficcion", "paginas: 30", "Autor: Lopez", "Numero ISBN: 22312312", "Año de edicion: 1... | [
"noreply@github.com"
] | matias1543.noreply@github.com |
4a6b5e2621decce6eb1754198c1bd419fc647aa0 | 097b73d12f2c7de6f1293ee4149865061600b838 | /app.py | f3308f8df0044818ecd72eeda05a9129cd9764c4 | [] | no_license | mario-j/flask-todo | 6d83d10d53003addd6a5c5c7499380b0b2fd22f2 | 111f75d292209f963c1334086884e2fb66c83907 | refs/heads/master | 2022-11-12T14:01:31.846521 | 2020-07-11T19:54:34 | 2020-07-11T19:54:34 | 275,969,931 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,435 | py |
from flask import Flask, render_template, request, redirect, url_for
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///db/todo.db'
db = SQLAlchemy(app)
class Todo(db.Model):
id = db.Column(db.Integer, primary_key=True)
text = db.Column(db.St... | [
"mjordanbartolo@gmail.com"
] | mjordanbartolo@gmail.com |
f32ae2236fb684777b438596d850abf6885dc83b | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /qLMZ2hEvrhRSSSnQw_20.py | dba82c5c1e6082f3f6e2d972820ab53ab7f449e3 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 813 | py | """
Graded lexicographic order (grlex order for short) is a way of ordering words
that:
1. First orders words by length.
2. Then orders words of the same size by their dictionary order.
For example, in grlex order:
* "tray" < "trapped" since "tray" has length 4 while "trapped" has length 7.
* "trap" < "tr... | [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
e93e2df1e7fd97450190821c9e7a5164ba062f1b | d0b1bfdbac01c6d7862401fb498cc1ef1e1174c5 | /ClassWeights_bin.py | da316352a0fe438d7b682735ae61459257e5742a | [] | no_license | DSmith537/Brain_Tumour_Segmentation_UNet_Indi | c4f343e530c4ecefe356f4ea23e82e56a54b2a81 | 5b89706ea7962287be20e35b22e4b20728fa7232 | refs/heads/main | 2023-08-19T08:00:52.804660 | 2021-10-06T09:01:03 | 2021-10-06T09:01:03 | 393,923,324 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,738 | py | #Authors: DS291
# The functions below read in the dataset's gound truths then count the occurances of each target class.
import numpy as np
import SimpleITK as sitk
from tqdm import tqdm
import nibabel as nib
import os
from tensorflow.keras import backend as K
import pickle
# File path:
#path = "/home/ds291/Brain_T... | [
"noreply@github.com"
] | DSmith537.noreply@github.com |
bb86167a69aa2bfadf4f9ad038d871b5071616ec | 5f5369cb8a5591d6a75f4f2c5b8e84e384f62e3d | /example/baidu2Spider.py | d7f0979f9939f2e4f73b2b3920fa1acd24562d9c | [] | no_license | zuoxiatian/aioscrapy | a52c0aaa2272bf15d6240d22413d4dc9dc136794 | 869590da5435bf19ff4bed7b0af8a6a39bf8d8ef | refs/heads/master | 2023-06-21T00:38:38.035574 | 2021-07-20T06:23:36 | 2021-07-20T06:23:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,166 | py | import re
from urllib.parse import unquote
import logging
from scrapy import Request
from aioscrapy.spiders import AioSpider
logger = logging.getLogger(__name__)
class Baidu2Spider(AioSpider):
name = 'baidu2'
custom_settings = {
"USER_AGENT": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/53... | [
"conlin_huang@patazon.net"
] | conlin_huang@patazon.net |
fa9ad3107621143b1312fd0da7d6d95c4a59f492 | d4b0043cb6453c6064fb1e1b58722f540fee3fcb | /thread_example.py | dda974c47b33124e1542bf315e884202c535525d | [] | no_license | SmallConcern/my_hue | 0e2e35aee6e60d141f55d82e4e4426cce846ccd2 | 574cc6861374e90efbae8035b2fa6e0b3a4f4f3f | refs/heads/master | 2021-01-11T15:11:45.707353 | 2017-01-28T22:02:38 | 2017-01-28T22:02:38 | 80,313,782 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 707 | py | import time
import threading
import datetime as DT
import logging
logger = logging.getLogger(__name__)
def worker(cond):
i = 0
while True:
with cond:
cond.wait()
logger.info(i)
time.sleep(0.01)
i += 1
logging.basicConfig(level=logging.DEBUG,
... | [
"casey small"
] | casey small |
1c54e78c3a9fa11c3884d713d206b69fd669a135 | a08d885cb9150d7e84f5ffbf0c9734893105a898 | /2021/Day 04/giant_squid.py | 113e0335b32c0ec58d8789010615a252f8d92b66 | [] | no_license | vhsw/Advent-of-Code | ab422c389340a1caf2ec17c5db4981add6433fbe | 3c1dac27667472202ab15098c48efaac19348edf | refs/heads/master | 2022-12-29T03:56:59.648395 | 2022-12-26T11:01:45 | 2022-12-26T11:01:45 | 162,491,163 | 0 | 0 | null | 2022-05-10T08:43:32 | 2018-12-19T21:10:26 | Python | UTF-8 | Python | false | false | 1,821 | py | """Day 4: Giant Squid"""
from typing import Iterable
with open("2021/Day 04/input.txt", encoding="utf-8") as fp:
DATA = fp.read().strip()
def part1(data: str):
"""Part 1 solution"""
nums, boards = parse(data)
for num in nums:
for board in boards:
for line in board:
... | [
"nevermind1025@gmail.com"
] | nevermind1025@gmail.com |
1d672fdd90d9308bd9b38d0a377baf32c7a7c700 | 2c897955274882b177dccd92de69a84dd3b307dc | /main.py | 9e29c77b6f50f66e0b6ae5dfc62ef60852a54024 | [] | no_license | JhinDanzo/calculator | 2a35626d1d70b1e6c194ae092563ffa316e08e14 | a3378ae60bc0f6513e5e0313e5ae9d52f67b2d2f | refs/heads/master | 2020-11-24T23:14:10.153084 | 2019-12-16T12:21:04 | 2019-12-16T12:21:04 | 228,381,516 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,033 | py | def calc(*args, **kwargs):
num = float(input('Enter number of elements: '))
e = 0
a = float(input('Enter element: '))
op = input('Enter operation: ')
b = float(input('Enter element: '))
result = 0
if op == "+":
result = a + b
elif op == '-':
result = a - b
elif op ==... | [
"gentj03@icloud.com"
] | gentj03@icloud.com |
d2c0dddcd4b0019ae675cd294c95019ad23d05c9 | acf302747b63c77a8669c951b712f7b11add35d8 | /iot/urls.py | 089118dff075e47c96c1cf1a2cf311ce33d1a413 | [] | no_license | thatswhatthecodesaid/Zeus | ea6ee97483c62a4999901ba5f3a741dcc1ab0928 | 983cd827bf350cc75a3b478718b2e40cfb9352c9 | refs/heads/master | 2020-12-27T16:58:32.146799 | 2020-02-03T20:32:26 | 2020-02-03T20:32:26 | 237,979,852 | 0 | 1 | null | 2020-02-07T16:25:13 | 2020-02-03T14:07:20 | Python | UTF-8 | Python | false | false | 365 | py | from django.urls import path, include
from . import views
from django.views.decorators.csrf import csrf_exempt
urlpatterns = [
path('home/', csrf_exempt(views.home)),
path("acview/", csrf_exempt(views.Tempc)),
path("aciot/", csrf_exempt(views.acview)),
path("ac/", csrf_exempt(views.ac_task)),
path... | [
"shlokcpatel2001@gmail.com"
] | shlokcpatel2001@gmail.com |
3933cd17fd1774eef21737c13fcdfb3fa04d377d | e8d70438a4662036e728facece1e98465737f01a | /Final Project/Programming/SBC/shared/udp.py | fa09a152b908515115d0d21279de088c96dc432f | [] | no_license | michaelekepler/GMU-ECE590 | 44dd96fdc59f3cd3b3dbb23e63cbb285814a2ab4 | 754e682f1724658acc6b22b499d7cd12b4c7a9b5 | refs/heads/master | 2021-01-21T13:41:33.435842 | 2016-05-11T12:41:24 | 2016-05-11T12:41:24 | 50,143,731 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,697 | py | #!/usr/bin/python
import sys, socket, array, struct
if sys.version_info >= (3, 0):
from functools import reduce
class UdpSocket(object):
_len_pack = struct.Struct('<I')
_send_big_chunk = 32768 # ~half of max datagram size
def __init__(self, recv_addr, receiving = False):
self.addr = recv_addr
self.sock = so... | [
"michaelekepler@gmail.com"
] | michaelekepler@gmail.com |
c959b60352be4863a3f8953548cec73e80ef1c23 | fe7599b0538567b82236832e93179ea88ff42e65 | /test/common/test_embedding.py | 338dda7a2ffabb2a4b9e352dd131c12d4e02d828 | [] | no_license | jgung/verbnet-parsing-iwcs-2021 | 6cd43b121b74d47300561a63ad1b57841aab1903 | 3d5b0bdd478d1594e05f1c935a555a360ad6692c | refs/heads/main | 2023-05-29T00:47:22.270803 | 2021-06-16T13:10:11 | 2021-06-16T13:10:11 | 365,082,482 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 612 | py | import unittest
import pkg_resources
from tfnlp.common.embedding import read_vectors
class TestEmbedding(unittest.TestCase):
@staticmethod
def _read_vectors():
vectorspath = pkg_resources.resource_filename(__name__, "resources/fake-vectors.txt")
return read_vectors(vectorspath)
def tes... | [
"james.gung@colorado.edu"
] | james.gung@colorado.edu |
33e7b842a30e2b8f2a15106a0e959404ed6a695e | 16f217783bc450dd77d7d4ff8fe562de5d3ba0ba | /robotScript/project/Robot.py | d06d4e114108b2dc70d61698bc5b2b886adfc43e | [] | no_license | ss203242430/schoolProject | 4b379f92bd03f7a4cd4c5f5d6e76de8c8b8a5edb | dce20853b2acc76b8357dafbe0fe11a0a219e102 | refs/heads/master | 2022-01-05T05:49:33.278438 | 2019-01-11T13:08:42 | 2019-01-11T13:08:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,072 | py | import Module
import time
import Camera
class Robot:
def __init__(self,
wheelsLeftPin = 23,\
wheelsRightPin = 24,\
CNY70EncodeMidPinLeft = 17,\
CNY70EncodeMidPinMid = 27,\
CNY70EncodeMidPinRight = 22,... | [
"hp181227@gmail.com"
] | hp181227@gmail.com |
8a21386060c5fce78625b552041b44bf7abafceb | d371b1d0ae2c78c716305661276e99ea99a2ec3f | /sandbox/findtweetsdaterange.py | 36f3970992acc8337aa243df30c9f249d7396c01 | [] | no_license | ravioactive/subtrendr | 96fa9485f453662c391d46aa9c5b7c5cb70972c6 | 6afddb96ff9ce4c8eaa6d3c3d43d81426d2c2870 | refs/heads/master | 2020-12-24T14:09:27.363320 | 2015-05-10T19:53:01 | 2015-05-10T19:53:01 | 32,291,769 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,481 | py | import sys
import pymongo
from unidecode import unidecode
import operator
def main():
args = sys.argv[1:]
trendname = args[0]
if not trendname or trendname == '':
print 'Trend value missing. Abort.'
sys.exit(1)
connection_string = "mongodb://localhost"
connection = pymongo.MongoClient(connection_string)
db... | [
"ravioactive@gmail.com"
] | ravioactive@gmail.com |
3f0545615ca1532870d920e85d4192951e399b06 | 12fd5b83c09b97125a3b9b9f07ad7808e0b9e9f4 | /superset/reports/api.py | 125a3e6763e8d865e87e4c45b4bc1f67df3934aa | [
"Apache-2.0",
"OFL-1.1"
] | permissive | bkyryliuk/incubator-superset | e708233fe553b0eaac4c8b6f55f7c73db62890bf | 541e461b77543c4cd68b07ee2cbce1169ef33eb6 | refs/heads/master | 2023-06-07T22:57:38.465057 | 2023-05-31T19:03:30 | 2023-05-31T19:03:30 | 184,359,149 | 0 | 0 | Apache-2.0 | 2023-01-10T14:15:38 | 2019-05-01T02:27:15 | TypeScript | UTF-8 | Python | false | false | 16,915 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"noreply@github.com"
] | bkyryliuk.noreply@github.com |
225daf1bf1edf46e759e8c5e78e8a18939c7372b | 01aa2693544c9677c71b313eb1342fc6efbdc541 | /paper/4-fig/porc_1m14.py | b261245d0c1fe83cce1bdc9e9e9c24e86c42e2bb | [] | no_license | pgbarletta/exs | 0b478b25a410721e96308abada7ec7558a87f542 | afedbf04770eae0ac901e11b0a0cc480b9cb2d41 | refs/heads/master | 2021-01-12T15:16:12.809586 | 2017-06-16T19:53:07 | 2017-06-16T19:53:07 | 71,725,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 976 | py | from pymol import cmd
cmd.load("modevectors.py")
cmd.load("./cut_avg_1m14.pdb")
cmd.load("disp_avg_1m14.pdb")
cmd.load("pock_1m14_1.pdb")
cmd.set_view ( '''0.634891212, 0.608652472, 0.475852638,\
-0.286199570, -0.386813581, 0.876609623,\
0.717629075, -0.692744732, -0.071385831,\
-0.0004086... | [
"pbarletta@gmail.com"
] | pbarletta@gmail.com |
1a4bbe1904853599082ef1d8488fd19f7e6d1010 | 50d93a57c640fbe0b9c3292a0acb485fd73b2fb4 | /cartoframes/viz/styles/utils.py | a1514f1b59df035aceac8c7bbb1f74b813b5f690 | [
"BSD-3-Clause"
] | permissive | alejagapatrick/cartoframes | 6af46b32b2a918edb0a995ba2773ce65b3acae4c | a86e949785d5b1ec748d686e5b11732123fbd2b0 | refs/heads/master | 2021-01-14T16:14:29.258096 | 2020-02-01T23:27:45 | 2020-02-01T23:27:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 400 | py |
from .. import defaults
def serialize_palette(palette):
if isinstance(palette, (list, tuple)):
return '[{}]'.format(','.join(palette))
return palette
def get_value(value, default, geom_type=None):
if value is None:
if geom_type in ['point', 'line', 'polygon']:
return default... | [
"jarroyo@cartodb.com"
] | jarroyo@cartodb.com |
a854ec1a1c8513ffd3482ecb32d19f7d126c322e | 9b4970589d1abbb365c0f3f490c70623848b4255 | /test.py | e23243f96efd47065fc2a95eba3c2f1a8ac74ae3 | [] | no_license | rateyu/python_es | 307f47f0e83a8979ee334bc9986421d1633f6675 | 3377cfc08fef61e3142cb8bc321c8fe966b047f5 | refs/heads/master | 2021-01-19T01:30:11.916346 | 2016-07-23T22:43:36 | 2016-07-23T22:43:36 | 64,038,954 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 65 | py | __author__ = 'myu2'
x = 1
while x <= 100:
print x
x += 1 | [
"ym=999526"
] | ym=999526 |
abacfed9a9e5c8f02ee35ca3495dc01ca6da1898 | 5236a4ef7feab2ef353b27ff9684132b2296ef9a | /experiments/control/agents/NoisyLinear.py | 0e7e9381ea3c6f40d7d7eee1971da1a2e0be4b41 | [] | no_license | yyhnmn/Exploration-strategies | e763b9f14c2ce8baba9e8ea8f9614dd5e424324b | 77570d35045b97870da44006932905954fb59257 | refs/heads/main | 2023-05-06T10:50:12.488550 | 2021-06-03T06:13:45 | 2021-06-03T06:13:45 | 358,855,051 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,927 | py | # import torch
# import torch.nn as nn
# import torch.nn.functional as f
# from torch.autograd import Variable
# import math
# https://github.com/higgsfield/RL-Adventure/blob/master/5.noisy%20dqn.ipynb
# class NoisyLinear(nn.Module):
# def __init__(self, input_size,output_size):
# super().__init__()
# ... | [
"yuhan1@ualberta.ca"
] | yuhan1@ualberta.ca |
2ec92ffd832da26eb31afb624fedaf179b955034 | d3a82e7576945619973b1314aaaa1bf9897e74a8 | /class_base_8/app_first/apps.py | 9574e1c527ba3c514cd9b3bcbee7fb900f06dabf | [] | no_license | zahrafarrokhi/learning_django_1 | 7b0a2b96f251d14ac5f8468d677c95a5eb420905 | 031a4fb99df74745df8f972df158aed1a17a4862 | refs/heads/main | 2023-07-06T11:58:33.725572 | 2021-08-09T06:52:17 | 2021-08-09T06:52:17 | 393,140,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 149 | py | from django.apps import AppConfig
class AppFirstConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'app_first'
| [
"zahrafarrokhi2017@gmail.com"
] | zahrafarrokhi2017@gmail.com |
44c6af43bbc434dc6f8a40443a35ef88b0483d00 | ac1112ce7f300058b61b6e250b84be00d7a6901a | /benchmarks/pencode_read.py | 11fff5014d534aad51302542925b31e2cdcba27e | [] | no_license | moreati/pickle-fuzz | 10a93979476820d832758191e15ce5f337d2e156 | 4398d5d1e44988f7425991f21352d5b6454075e3 | refs/heads/master | 2021-07-15T14:57:20.362579 | 2021-06-09T20:20:24 | 2021-06-09T20:20:24 | 126,242,444 | 31 | 3 | null | null | null | null | UTF-8 | Python | false | false | 6,861 | py | """Tiny binary JSON struct encoder.
We use this in preference to JSON primarily because it can handle the
difference between bytes and unicode strings, which is much more efficient
than encoding bytes-as-base64-in-JSON.
"""
import io
import sys
import struct
import codecs
SZ = struct.Struct('!I')
REF = struct.Struct... | [
"alex@moreati.org.uk"
] | alex@moreati.org.uk |
5d18798b9d369adde79d969ba4c0c2de8e71160d | 26928b3361af2f021f8e390bd966ef936bc76bcb | /app/main/controller/fileController.py | c7abedfd313f0842f6fe3da326c6a2a22712d6b4 | [] | no_license | zzzzzkjs/flask_file_upload | 57adce32ed6b4ebb5aec890f836d5007f68376ba | b734d4ec463a666fa8f089f6d40172d21556d12e | refs/heads/master | 2023-02-22T13:59:53.042620 | 2021-01-24T09:36:06 | 2021-01-24T09:36:06 | 329,244,162 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 657 | py | from flask_restx import Namespace, Resource, fields
from flask import request
from werkzeug.utils import secure_filename
api = Namespace("file", description="file related operations")
@api.route("/upload")
class file(Resource):
@api.doc("upload_file")
def post(self):
files = request.files
# 저장... | [
"zkjs@naver.com"
] | zkjs@naver.com |
56c0bfbbb9e78a2387e0f7b372b66d6135d9f3cf | daaee847587b852aa6a9dc7d7bc97ad2547a4b4d | /thresholded_binary.py | 482625686d8f24b027b013a11156844a28546a1b | [
"MIT"
] | permissive | tomershraga/Udacity_Advanced_Lane_Lines | ca86dbcc3a7ccaaefeaaeb0b9eb8a9b90782a28a | 826436fb695402e3ff1edda5568c3a5be5c91c73 | refs/heads/master | 2022-12-03T16:53:38.290128 | 2020-08-17T11:54:26 | 2020-08-17T11:54:26 | 286,523,078 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | import cv2
import numpy as np
import matplotlib.pyplot as plt
def create_thresholded_binary_image(img, thresh_min = 20, thresh_max = 100, s_thresh_min = 170, s_thresh_max = 255):
# Convert to HLS color space and separate the S channel
hls = cv2.cvtColor(img, cv2.COLOR_RGB2HLS)
s_channel = hls[:, :, 2]
... | [
"tomershraga@gmail.com"
] | tomershraga@gmail.com |
d8df7c56c4cad45b9d3d1ee36968d4cdf236893f | bbf54124f543870b4e24c7888d99e488f724702a | /venv/Scripts/pip3.7-script.py | 37ab5f87d7ef9437808e5be915ecb607cb25e93b | [] | no_license | desh-woes/Hash_code | 9de8e171f3a87a8f047f1bc602c53a460d8f45b9 | 0aa9187b568ddefdfd14450f72109053e5d84f83 | refs/heads/master | 2020-04-21T17:11:39.750786 | 2019-02-08T11:56:25 | 2019-02-08T11:56:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 419 | py | #!C:\Users\adesi\PycharmProjects\Hash_code\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip3.7'
__requires__ = 'pip==10.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.a... | [
"oadesina17@alustudent.com"
] | oadesina17@alustudent.com |
06beea50352b477f0d03f263c4db73fa5be43f96 | fe8adf343f8b5f7328be5340058c82b6be1b4b67 | /Beginner/03. Python/Calculator_tkinter.py | fed7beb069ebe93b54ed3756b8eadbcda7eeff1e | [
"MIT"
] | permissive | manas3789/Hacktoberfest | 43601a3746e1f570fdc400c0933040b591260f10 | e4682fa34575ac243de464526ad1dd8d3ca102b1 | refs/heads/master | 2023-08-22T08:28:37.780612 | 2021-10-07T17:15:08 | 2021-10-07T17:15:08 | 414,692,658 | 0 | 0 | MIT | 2021-10-07T17:14:05 | 2021-10-07T17:13:32 | null | UTF-8 | Python | false | false | 13,150 | py | from tkinter import *;
from tkinter import messagebox;
def actionauthor():
messagebox.showinfo("Author", "Pranta Sarker\nBatch: 6th\nDepartment: CSE\nNorth East University Bangladesh")
#Check weather the input string is a number or not
def is_number(s):
if(s != ''):
if (s.replace('.', '', 1).isdigit()... | [
"noreply@github.com"
] | manas3789.noreply@github.com |
165df67dfc5ba1f98f4a75696535e434b8eb836f | b39130ffdd7303160c118f0a60922964c75cc614 | /T46/manage.py | f5e8f994f8bf970073af76fb795676471c0b1603 | [
"MIT"
] | permissive | RedBeastOfLeaf/Hackathon_5.0 | f345786790d6cea8dfd0de0c75eb051e15db4cde | c516b5589c0826c87f79767e165755a6918e07ad | refs/heads/master | 2023-03-06T04:53:47.866905 | 2021-02-20T08:35:18 | 2021-02-20T08:35:18 | 340,563,280 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 687 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'AIproject.settings')
try:
from django.core.management import execute_from_command_line
... | [
"noreply@github.com"
] | RedBeastOfLeaf.noreply@github.com |
9afe7b481db2444dfbd8affc02f6f35e8909bea1 | 8501910063034c48ee880659d917ad22b25552a0 | /docs/source/course_source/beginer_torch.py | 4d2fad8f6b66d6e5a577c11e7289313ca6035d65 | [
"Apache-2.0"
] | permissive | StacyYang/AutoTorch | 67debf597c332c2d816aa5f79963ce98aa63e98a | bd963471a2aab25a67bef84b6a9bb5619e2380e3 | refs/heads/master | 2022-08-03T00:32:19.379801 | 2020-05-14T00:00:37 | 2020-05-14T00:00:37 | 199,581,162 | 64 | 7 | Apache-2.0 | 2020-05-14T00:00:39 | 2019-07-30T05:31:16 | Python | UTF-8 | Python | false | false | 6,954 | py | # -*- coding: utf-8 -*-
"""
Quick Start with PyTorch
========================
In this tutorial, we demonstrate how to do Hyperparameter Optimization (HPO) using AutoTorch with PyTorch.
AutoTorch is a framework agnostic HPO toolkit, which is compatible with any training code written in python. The code used in this tut... | [
"noreply@github.com"
] | StacyYang.noreply@github.com |
627d10055d164f6914568c45ba093d428ee437a6 | 0fa69775ef1248b6d0b27f20461ff7ab7a43173e | /main_app/beauty.py | 81e2c2cd5476f8f2392a88c75c44ce6558590e60 | [
"MIT"
] | permissive | rajkumarGosavi/Worker-Recommender | 85117051db6bd6847023fbeae5d56ad08a827bbc | 1a16904a3c72a75290a4dffda451643b3b359700 | refs/heads/master | 2020-04-22T12:07:41.088503 | 2019-02-12T17:45:33 | 2019-02-12T17:45:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py |
import pandas as pd
new_df = df.copy()
def prettify(cls, n, df):
for index, records in df.iloc[n].iterrows():
for cols in df.columns:
records[cols] = cls[cols][0][records[cols]]
new_df
| [
"princegosavi12@gmail.com"
] | princegosavi12@gmail.com |
b85d47bd5f74ecd5a88bb098b7cdf9d4ab5a3344 | 6f1bd5c6a80fcd975c314b5f9fdec6e5c4df56a7 | /Algorithms/collatzConjecture.py | a99d08cd6e0eec4e057711e597c1596ef4e8d6f1 | [] | no_license | danWalt/Karan-Projects | 344e22445d96558ecabc87350156e2d67c8e7cea | 461c176fcb8176b5190cfe07882986274196b997 | refs/heads/master | 2020-12-01T20:41:50.466603 | 2020-04-07T14:34:07 | 2020-04-07T14:34:07 | 230,763,908 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 783 | py | # collatzConjecture.py uses the Collatz Conjecture algorithm to find the
# number of steps it takes to get to 1 from a number following these rules:
# Start with a number n > 1. Find the number of steps it takes to reach one
# using the following process: If n is even, divide it by 2. If n is odd,
# multiply it by 3 an... | [
"daniel.walters2110@gmail.com"
] | daniel.walters2110@gmail.com |
10542c902743d934d55e8099238455426ac53055 | e58447b5b4d4b5dedb284b86a3789946d906e9ff | /menu/models.py | 900420a3d6cf729eda14aa41c67851ec6e353a47 | [] | no_license | jimenz91/xinchao | df4bc796478f6fd6b5f27b83ae62a43dc3495ed2 | 4f8f90e3d56df134d8d94154c4ed81964ebde033 | refs/heads/master | 2023-06-22T17:10:53.210362 | 2021-07-16T14:50:14 | 2021-07-16T14:50:14 | 370,188,127 | 0 | 0 | null | 2021-07-16T14:50:15 | 2021-05-24T00:44:54 | Python | UTF-8 | Python | false | false | 1,033 | py | from django.db import models
class Dish(models.Model):
"""
Dishes to be served in the restaurant.
"""
name = models.CharField(max_length=50)
price = models.FloatField()
weight = models.FloatField()
rations_available = models.IntegerField()
description = models.TextField(max_length=300,... | [
"carlos.jimenez.gonzalez.contractor@bbva.com"
] | carlos.jimenez.gonzalez.contractor@bbva.com |
9d72b7fbe2c3541708314f0dd93222067664efd3 | 7e4d1395b9fc122d98a0f1ad1ac8c303d6ca2725 | /GTEx_scripts/get_not_processed.py | af41d4dbadd0b086eaf5077863dd020162be398e | [] | no_license | RobinHofmeister/Master_project_2018 | 619f114f58e6df208899c2319e1a4509c29962e6 | 0374d0d740b5bf173a823d9b8b018362edb798f7 | refs/heads/master | 2020-03-26T15:06:57.890886 | 2018-09-07T12:38:32 | 2018-09-07T12:38:32 | 145,021,713 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | import os
import subprocess
file=open('done.txt')
for line in file:
tmp=line.split()
if tmp[1]=='not_processed':
srr=tmp[0] # get the SRR of non processed SRA
bash_script_name='bash_'+srr+'.sh'
call_bash='bsub < '+bash_script_name
print(call_bash)
subprocess.call(call_bash, shell=Tr... | [
"robin.hofmeister@unil.ch"
] | robin.hofmeister@unil.ch |
1b7c96a2295ea7e138deda6e3742ba95cd5763db | 6d05f11c55ea277a08fc375b1c5af5ecc076000b | /python/paddle/fluid/tests/unittests/test_allclose_op.py | 94e30621ef1377344457aa3d94a725abac99ef31 | [
"Apache-2.0"
] | permissive | sfraczek/Paddle | 8602df1b11937400f93ac5861a366226208a6f05 | d1e2c61b22b9675adc3c4a52227d2220babaa001 | refs/heads/develop | 2023-04-04T22:52:42.629243 | 2023-03-16T12:06:10 | 2023-03-16T12:06:10 | 140,574,617 | 0 | 0 | Apache-2.0 | 2019-03-26T15:54:00 | 2018-07-11T12:51:20 | C++ | UTF-8 | Python | false | false | 8,362 | py | # Copyright (c) 2018 PaddlePaddle 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 app... | [
"noreply@github.com"
] | sfraczek.noreply@github.com |
c7457f83022b47c936a0bccf283bf660d926f839 | 636849fc7edd9dcb095cf3410a121ab37de69f02 | /SoftLayer/fixtures/SoftLayer_Network_Storage_Iscsi.py | 04c2284767ad5c529af005b1acc17b04a1a8efa8 | [
"MIT"
] | permissive | softlayer/softlayer-python | bcb09306c3367fdbd2f1407f770c4959729b074c | 5798373055d9f34dfd531d81638a64d0a7901a13 | refs/heads/master | 2023-08-23T19:32:36.990701 | 2023-08-21T03:29:44 | 2023-08-21T03:29:44 | 622,291 | 126 | 182 | MIT | 2023-09-14T15:04:48 | 2010-04-21T20:36:31 | Python | UTF-8 | Python | false | false | 735 | py | getObject = {
"id": 11111,
"allowedVirtualGuests": [
{
"id": 22222,
"allowedHost": {
"accountId": 12345,
"id": 18311111,
"name": "iqn.2020-03.com.ibm:sl02su11111-v62941551",
"resourceTableId": 6222222,
... | [
"fernando.ojeda@jalasoft.com"
] | fernando.ojeda@jalasoft.com |
44cf0a4ee9872efbc12aaaa85957163ff6094902 | 00c33337f4023c8d257a7da1c47db4bf36441b94 | /feedback/serializers.py | 3bc97bd69196ce0d453d34d6288cf55f13d6930c | [] | no_license | ECellNitrr/EcellWeb2k19 | 694d733737b1ac26c136994ee631f36904ca942d | 75d53aad788d6deac8c5dda72cabf34b8d4bcb15 | refs/heads/master | 2021-06-24T06:23:09.097667 | 2021-01-12T08:37:48 | 2021-01-12T08:37:48 | 189,839,122 | 4 | 23 | null | 2021-01-12T08:24:49 | 2019-06-02T11:39:44 | JavaScript | UTF-8 | Python | false | false | 192 | py | from rest_framework import serializers
from .models import Feedback
class FeedbackSerializer(serializers.ModelSerializer):
class Meta:
model = Feedback
fields = '__all__' | [
"33046846+naveennvrgup@users.noreply.github.com"
] | 33046846+naveennvrgup@users.noreply.github.com |
861709efdf3acd7f6154b69f466c98536af3d22c | 98e1716c1c3d071b2fedef0ac029eb410f55762c | /part13-introduction-data-visualization/No33-Multiple-time-series-on-common-axes.py | d1207e9079b0d4e197a6b8b3812ed67aab364a3e | [] | no_license | iamashu/Data-Camp-exercise-PythonTrack | 564531bcf1dff119949cbb75e1fd63d89cb2779f | c72a4e806494f0e263ced9594597dc8882c2131c | refs/heads/master | 2020-07-22T00:23:12.024386 | 2019-04-12T09:24:42 | 2019-04-12T09:24:42 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,261 | py | #Multiple time series on common axes
'''
For this exercise, you will construct a plot showing four time series stocks on the same axes. The time series in question are represented in the session using the identifiers aapl, ibm, csco, and msft. You'll generate a single plot showing all the time series on common axes wit... | [
"beiran@hotmail.com"
] | beiran@hotmail.com |
d3592686c28277edf933176d6bc6cfcfec171372 | 82f2cf1cd09ab6cc1ad1713cb76a8da3c3ab5e5b | /Harjoitus2/Exercise 2 p4.py | 41648338ae205397cc2ac999872664e7f1ed2b36 | [] | no_license | GitOsku/Olio-ohjelmointi | e738dde62d29883436b42108da85a581d57f1fa7 | b063847b6e95d0872ca3ed7b720691d025a150c2 | refs/heads/main | 2023-04-11T11:26:43.152965 | 2021-04-25T16:07:05 | 2021-04-25T16:07:05 | 330,405,416 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 345 | py | kysymys funktio
anna nimesi
anna arvosanasi
palauta arvosana
pää funktio
summa = 0
indexi = 0
boolean joka määrää ajetaanko koodia
kun boolean on tosi
summa += kysymys funktio
indexiin lisätään 1
tämän jälkeen kysytään halutaanko jatkaa vai lopettaa
tulosta summa jaettuna ... | [
"Oskari.Helenius@edu.turkuamk.fi"
] | Oskari.Helenius@edu.turkuamk.fi |
084cf7c8ad3ccb351ad8f82e258bb032f29e7f7d | d8f2e4199d80ab9d32b6d47ac7d434c450ac5b99 | /Atividade-de-Ordenao-3/heapSort.py | bd2b7bfd782e41bf5bb9647c43a699d6d9bed724 | [] | no_license | alexandremsnunes/ED-APA | a13465151619ab9a60c37a703b9fd41d37bd18a9 | 8f9b53d44f3030a88a86e55dcc08ae4e155ced09 | refs/heads/master | 2021-05-20T10:12:08.962261 | 2020-07-10T12:49:49 | 2020-07-10T12:49:49 | 252,242,770 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,440 | py | import numpy as np
import sys
import math
def maxHeapify(vetor,lenHeap,i):
left = 2*i + 1
right = 2*i + 2
if((left < lenHeap) and (vetor[left] > vetor[i])): maior = left
else: maior = i
if((right < lenHeap) and (vetor[right] > vetor[maior])): maior = right
if(maior != i):
veto... | [
"msn.alexandre@gmail.com"
] | msn.alexandre@gmail.com |
f60744cdfe7f93c215b617e3629895b632846bd0 | 9bc228372e586a1f90bb0685c43e744be9638ecd | /19_허유빈/session06/views.py | 7c57f4e01c5da391a8a5fa0c47dcc2d446fc10d5 | [
"MIT"
] | permissive | LikeLionSCH/9th_ASSIGNMENT | 3e58862a76e3232aed7e19e8939da23330ff2e22 | c211995ad12f404833ffec7fd80e1229b82a3bfa | refs/heads/master | 2023-07-03T10:27:11.843177 | 2021-08-02T14:52:02 | 2021-08-02T14:52:02 | 379,633,279 | 7 | 18 | MIT | 2021-08-02T14:52:03 | 2021-06-23T14:36:59 | Python | UTF-8 | Python | false | false | 629 | py | from django.shortcuts import render
# Create your views here.
def count(request):
return render(request,'count.html')
def result(request):
text = request.POST['text']
text_count = len(text)
text_countWithoutSpace = len(text.replace(" ",""))
word_list = text.split()
return render(request, 'resu... | [
"xuubxxn@gmail.com"
] | xuubxxn@gmail.com |
578c3005410eeece8e1a58b878999ff78c2ad169 | 86832e6073aef0f3cd50e2108b61de3aaa0d2bcf | /data_cleaning/TMX_XML.py | 23efec0dc7c31bdfa13808ca5fe18ca27fd5b927 | [
"Apache-2.0"
] | permissive | sharad461/nepali-translator | 8878b51ba807a9295c561d33cf811fdd942e5ab7 | 64a2606e4a7c92831e195366dee34ddf60b20c7e | refs/heads/master | 2022-12-07T01:50:41.425593 | 2022-12-02T05:31:27 | 2022-12-02T05:31:27 | 187,453,369 | 43 | 14 | Apache-2.0 | 2022-12-02T05:31:28 | 2019-05-19T08:44:37 | Python | UTF-8 | Python | false | false | 621 | py | from lxml import etree
from functions import summarize, write_lines
# Treats .TMX files from NNC Corpus
tmx_file = "NP8"
tree = etree.parse(tmx_file + ".tmx")
paragraphs = tree.findall(".//seg")
lines = []
en,ne = [],[]
counter = 1
for paragraph in paragraphs:
line = ''.join(etree.tostring(paragr... | [
"sharad.duwal@gmail.com"
] | sharad.duwal@gmail.com |
0dd2ec242068ca8522aeb1e1269c1a69d0318f58 | a1cc61c4c0a44aecc863c3568b62ce252ba83a65 | /study/cpurate.py | a5c1c721311b5e4cbdee441c3af7974e219554f2 | [] | no_license | chenwi/py-work | 1e48edb34b7758416199a8a4b8077d530898129b | a9cbcb2f2e38b584036a05bf8a87a8b0c692fafb | refs/heads/master | 2021-05-07T04:00:36.077828 | 2017-11-24T14:45:31 | 2017-11-24T14:45:31 | 111,061,310 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 733 | py | #-*- coding:utf-8 -*-
import time
def primes(n):
if n ==2 :
return [2]
elif n < 2:
return []
s = []
for i in range(3,n+1):
if i % 2 != 0:
s.append(i)
mroot = n ** 0.5
half = (n+1) / 2 - 1
i = 0
m = 3
while m <= mroot:
if s[i]:
... | [
"1587504387@qq.com"
] | 1587504387@qq.com |
e43535789d7375d1e1ccead85c832662d3c6d18a | e9c3152b3b929a1cb8c71f8767ed06fcabc8ef06 | /problem23.py | 11f5a58c7e0e0779cdbae434a997044788fd7c16 | [] | no_license | StMSoAP/P-Eu | ea4b57233f01d9e7be3501e2c6ed065fb9f8e91f | fd73c1256d3a23dce901f1dade55e9f03630d568 | refs/heads/master | 2020-07-26T02:46:17.606141 | 2019-09-20T16:10:02 | 2019-09-20T16:10:02 | 208,510,015 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 928 | py | import time
def abundance(uh):
factor_sum = 0
for factor in range(1, int(uh/2+1)):
if uh%factor == 0:
factor_sum += factor
if factor_sum > uh:
print (uh)
return True
else:
return False
start = time.time()
abundant_numbers = list()
for number in range (1, 2... | [
"noreply@github.com"
] | StMSoAP.noreply@github.com |
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