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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dcb9a6e6e54a787190f0ee161dd639219e160d13 | f07c35480efb81cbf0e1ff661a8aad129d46be90 | /docs/playground/logger-study.py | 52b552e06dccbf874f770c69bf6128d0ecf39405 | [] | no_license | nukopy/tdd-python | 24101fe44ff5346e63939f3dfba002148c6155da | ccb2c099c1d395ae80814bf17594c30b575986ef | refs/heads/master | 2023-03-30T03:30:25.441859 | 2020-11-16T14:09:14 | 2020-11-16T14:09:14 | 313,196,094 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,044 | py | import logging
import sys
LOG_LEVEL = [
logging.CRITICAL,
logging.ERROR,
logging.WARNING,
logging.INFO,
logging.DEBUG
]
logger = logging.getLogger(__name__)
logFormat = '%(asctime)s - [%(levelname)s] %(message)s'
logFormatter = logging.Formatter(fmt=logFormat, datefmt='%Y-%m-%d %H:%M:%S')
logHandl... | [
"pytwbf201830@gmail.com"
] | pytwbf201830@gmail.com |
fbe55791d15215622a1f8f1a8ce0305bfaba045d | 0141b06134218607d630201ea08b0aede6874ae6 | /BenZin.py | 3a78fba441a6fa08dc3408256732bb4465d1e399 | [] | no_license | redparavoz/Benzin | 6636cd509cea726438775cdea1408ef01ec298a2 | b6dfce8a2f7944f27d1fd5208679bcd7421944f6 | refs/heads/master | 2020-04-24T10:36:08.030551 | 2019-02-21T16:11:08 | 2019-02-21T16:11:08 | 171,898,848 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 349 | py |
print("Gasoline calculation")
print()
print("Please enter the mileage of day")
prais_for_liter = eval(input("prais for liters:"))
gas_mileage = eval(input("gas mileage:"))
mileage = eval(input("mileage:"))
total = prais_for_liter * gas_mileage * mileage /100 #IDLE do calculation
print()
print ("The total value of you... | [
"shanghaioftrain@gmail.com"
] | shanghaioftrain@gmail.com |
6cec19ea67ce83d79465dc4e68499aa4989e1d7e | 60817b73c85d7d6575df7f93f38e58d5e7c9e6c1 | /Projects/OpenCV stuff/PI_videoProcessing.py | f06e8f667446667915f107003815b9053e6df8f5 | [] | no_license | TahsinTariq/Python | 8291619153629e93bb34c83e8c4a8ef748e0733a | d49463ec5b5a760b9beaba07c549274137a4437f | refs/heads/master | 2023-02-19T18:31:14.302161 | 2021-01-15T14:22:13 | 2021-01-15T14:22:13 | 277,165,598 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,460 | py | import cv2
import datetime
import keyboard
import numpy as np
from PIL import Image, ImageFilter
def remap(value, source_s, source_e, start, end):
return start + ((value - source_s) / (source_e-source_s)) * (end-start)
def change_brightness(img: Image, level: float) -> Image:
def brightness(c: int) -> float:
... | [
"62146852+TahsinTariq@users.noreply.github.com"
] | 62146852+TahsinTariq@users.noreply.github.com |
191ab11df68fe5aca3f104e9f08b266fe15323b5 | 993faab87abf05dfc1041741408d6a8309093dfb | /spare/get_user_ids.py | eda1e82c04f0a074f2c3874f91715c51f43e2eda | [] | no_license | WeiNiu/lsfolk | 6170b0f5d41fc927832214f64656a5a67c7349f2 | 3aeccada2afeae4ffd60b50cd4a0ad1edbfc7636 | refs/heads/master | 2021-01-01T05:08:01.209848 | 2016-05-20T16:39:54 | 2016-05-20T16:39:54 | 59,310,769 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 242 | py | #get user ids for timeline crawling. these users are mostly listed
import cjson
infile='./user_tag_dict_sift'
outfile='./uids'
outfile=open(outfile,'w')
for line in open(infile,'r'):
line=line.split('\t')[0]
outfile.write(line+'\n')
| [
"weiniu.2010@gmail.com"
] | weiniu.2010@gmail.com |
95c41f85d5add0ea7446a21d96a4c474baa2c709 | 35d86ffff9bb3128994597a8db37761a914c5c76 | /blog/admin.py | 1af3e0a876693618088777b9d28f518a8a1681ba | [] | no_license | lililolilil/freshtuna | e2d8ad900b61820e13a23aac3140428c75715f83 | 42bc1a1ab957e080512e914e332e567fa5407fec | refs/heads/master | 2021-03-30T18:09:46.070952 | 2017-11-28T09:43:50 | 2017-11-28T09:43:50 | 109,951,918 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 304 | py | from django_summernote.admin import SummernoteModelAdmin
from django.contrib import admin
# Register your models here.
from .models import Post,Board
class PostAdmin(SummernoteModelAdmin):
pass
class BoardAdmin(admin.ModelAdmin):
pass
admin.site.register(Post, PostAdmin)
admin.site.register(Board) | [
"ysy622@gmail.com"
] | ysy622@gmail.com |
632b44110f8d17e5a87f2169f16492724791a409 | 2c4ba5a56b7a3d3e1c286b678eb8068f51c23046 | /week2/3-Simple-Algorithms/solutions/first_n_perfect.py | 388005a98408f01742f75b53102ab5c4f146e5ab | [] | no_license | OgnyanPenkov/Programming0-1 | 3b69757bd803814585d77479fc987a0ee92d0390 | 8078f316ea2b81216c21cf78e7cf1afc17f54846 | refs/heads/master | 2021-01-21T15:12:20.814368 | 2015-10-07T18:16:39 | 2015-10-07T18:16:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 925 | py | # Проблемът на тази задача е, че не знаем горната граница на интервала
# Например, не знае първите 4 перфектни числа в какъв интервал са
# За това подхождаме по следния начин - while True:
# За всяко число +1 гледаме дали е перфектно
# Aко намерим перфектно, намаляваме търснеата бройка с 1
# Когато търсената бройка ста... | [
"radorado@hackbulgaria.com"
] | radorado@hackbulgaria.com |
3e2c9d3dbb36feccb77cca2d9d45f4d537ab5e06 | 53ef08fbc24d14a589987856a9f38310c3b6cb53 | /tuto2/list.py | cc9b3869da43fe28f60184774f6e9bded940bab9 | [] | no_license | hujaepa/learnpython | cb5658f3be1e9e798abab3320ea5cc0196c8f7e8 | d99ad301b43056961c8c68f4127f5c120a0635f9 | refs/heads/master | 2023-03-08T11:19:39.206361 | 2023-02-23T15:26:12 | 2023-02-23T15:26:12 | 291,716,459 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 133 | py | nums=[]
for i in range(0,5):
nums.append(float(input()))
print("\n")
for i in range(0,len(nums)):
print(float(nums[i])) | [
"hujaepa@gmail.com"
] | hujaepa@gmail.com |
7ab67cfb963577bb2e385b638880f91198b94afb | 4932a6936b310a0bc96b743ae6cc7ef098230023 | /game_code/board.py | 748c685c7bb104630e98f9a3623e99d0841898ad | [] | no_license | hangZH03/2018_s4_projet13 | f919ac8828d298a644063d4031f45ec146ec6680 | b14042fb2cd981fc09cfc26f2278b0532d9c1bbb | refs/heads/master | 2020-03-21T15:17:13.202427 | 2018-06-26T07:57:25 | 2018-06-26T07:57:25 | 138,703,866 | 0 | 0 | null | 2018-06-26T07:53:34 | 2018-06-26T07:53:33 | null | UTF-8 | Python | false | false | 6,526 | py | import kivy
#kivy.require('1.10.0') # replace with your current kivy version !
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.core.window import Window
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
from kivy.config import C... | [
"federicodadam@gmail.com"
] | federicodadam@gmail.com |
73071a791ccda5eb785fb185e1a45b450c234c30 | e4993e36ed94f09ecb75448415a67e4e3e10f604 | /pe37.py | ab2aaf628118e63710121ba07155edcc74022fda | [] | no_license | thetringuyen/Project-Euler | 427a95ba8dcdb13e46400399b3747f4a480d7e75 | 582ee80509d6bb5e7b55859ee604c8ee207c7d13 | refs/heads/master | 2021-01-20T06:47:05.862585 | 2017-08-28T22:16:53 | 2017-08-28T22:16:53 | 101,518,130 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,225 | py | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 25 00:46:04 2017
@author: tring
"""
import time
from algorithm import bcdToDec, isPrime
def truncateBCD(n, left=0):
if left:
m = n
count = 0
o = 0
while m > 0:
m >>= 4
count += 1
o... | [
"tringuyen062888@gmail.com"
] | tringuyen062888@gmail.com |
a28787c46c59440cf67a33d5ba6336ef9c7d554d | ba97a8b1591b56ceba7509cb5cdca290d76bc1e5 | /np_pd_plot/GP-YHO-Price.py | aae6bb9b1c3064bd5615c8871c6ec9ffadb79a18 | [] | no_license | MelancholyMing/TF_learning | 2141ca5ad5a7b842b8e9d277b644a2a9ddb516e5 | 2e8bc829509660d09af150c2ce4a3709caa1c6ee | refs/heads/main | 2023-03-31T23:12:31.052624 | 2021-04-05T08:49:57 | 2021-04-05T08:49:57 | 346,798,117 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,067 | py | import datetime
import numpy as np
import matplotlib.dates as mdates
import pandas_datareader.data as webdata
import pandas as pd
import mplfinance as mpf
import matplotlib.pyplot as plt
import matplotlib
import yfinance as yf
yf.pdr_override() # 因为雅虎在中国受限制的原因，需要引入另一个模块，“yfinance”
startdate = datetime.datetime(2014,... | [
"melancholyming@gmail.com"
] | melancholyming@gmail.com |
d043c4509434c2e0b8646fbbf09880f78fb06a2f | 177e94d7ca888840cbbb15ae8b4ea121650e160d | /py/studiIO.py | 1dc061571acf5d468cfd27b4b80cb80a1a941aa2 | [] | no_license | chrislyne/studioIO | deef06c15a10e0aa309ac256a57ce5cd2aac1d20 | e2a0070baa68ec22bb93aa82740a11b1f38cd843 | refs/heads/master | 2021-04-09T13:07:55.096054 | 2018-03-19T09:24:39 | 2018-03-19T09:24:39 | 125,595,445 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,708 | py | import maya.cmds as cmds
import maya.mel as mel
import os, sys, time
from stat import S_ISREG, ST_MTIME, ST_MODE
from pymel.all import *
import json
## global Variables ##
def globalVars():
global ioWorkspace
ioWorkspace = cmds.workspace( q=True, fullName=True )
global userInitals
userInita... | [
"chris@funnylyne.com"
] | chris@funnylyne.com |
04b6c88d1353b5bcedc3f41edb10107f55960060 | 1dacbf90eeb384455ab84a8cf63d16e2c9680a90 | /lib/python2.7/site-packages/networkx/drawing/layout.py | d6ade95e25422e759c0531fc265903f50288c684 | [
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | permissive | wangyum/Anaconda | ac7229b21815dd92b0bd1c8b7ec4e85c013b8994 | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | refs/heads/master | 2022-10-21T15:14:23.464126 | 2022-10-05T12:10:31 | 2022-10-05T12:10:31 | 76,526,728 | 11 | 10 | Apache-2.0 | 2022-10-05T12:10:32 | 2016-12-15T05:26:12 | Python | UTF-8 | Python | false | false | 18,158 | py | """
******
Layout
******
Node positioning algorithms for graph drawing.
The default scales and centering for these layouts are
typically squares with side [0, 1] or [0, scale].
The two circular layout routines (circular_layout and
shell_layout) have size [-1, 1] or [-scale, scale].
"""
# Authors: Aric Hagberg <aric.h... | [
"wgyumg@mgail.com"
] | wgyumg@mgail.com |
68e0375869bbc90362e1d53c3d314bf4701edec0 | e59102eb4a36f15a5419d3d9d8b9ff720a55cc4d | /loop.py | 7a6fb4cbb2f6ec2f77305c59672826af9f22127b | [] | no_license | hlainghpone2003/SFU-Python | 5b9e58cf9119b08b0c6c2de68f346d563a801f3b | 78245eb34ac74916e8dcbdb8ecf62c35b1d454e8 | refs/heads/master | 2020-12-14T07:09:59.579171 | 2020-03-14T05:37:25 | 2020-03-14T05:37:25 | 234,677,265 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,348 | py | #loops
-while Loops
-for Loops
Condition is true, while loop execute a set of statements
x = 1
while x < 7:
print(x)
x += 1
>>> x = 1
>>> while x < 7:
... print(x)
... x += 1
...
1
2
3
4
5
6
while loop variable ready.
x=1
while x < 7:
print(x)
if x == 5:
break
x += 1
>>> x = 1
>>> while x < 7:
... ... | [
"hlainghpone647373@gmail.com"
] | hlainghpone647373@gmail.com |
3c7b7d751b74a8e1f1d3ff0e89e1fd461156c634 | 191d8f39835c41c0a2f64f0eb3b2fcce5b041524 | /sentiment/server.py | 3fa20a74030fb006e1c8517dc7ba604677a3e184 | [] | no_license | demetkochan/turkce_dogal_dil_isleme | f1622fb077dcedeaf121c4157db7b112836fbbb3 | 260251cb84406b4d1318ace25b41a887006a29d4 | refs/heads/master | 2023-08-24T18:56:52.580299 | 2021-10-07T14:39:48 | 2021-10-07T14:39:48 | 350,285,699 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | import joblib
from flask import Flask, request, jsonify
app = Flask(__name__)
load_vec = joblib.load("tfidf_vector.sav")
lr_model = joblib.load("logistic_reg_model.sav")
@app.route('/sentiment', methods =['GET','POST'])
def get_prediction():
text = request.json.get('text')
vec = load_vec.transform([text])
... | [
"61080306+demetkochan@users.noreply.github.com"
] | 61080306+demetkochan@users.noreply.github.com |
96843b3c5eaf599ead4446cd199852a00eb5c4b4 | 4a212e0d591d1054a528740f6d38148a29763455 | /matbao_module/model/external/external_so.py | 7d54fc07d61b380b917832e74f67ac536609826f | [] | no_license | partho222/Project-Odoo | a0f36b6446bf3d70d2440b8e6270307b095d43d4 | 2289d934c5bea5e34c0bd3c0094d8bfc22f18bd1 | refs/heads/master | 2020-06-09T21:46:57.755679 | 2017-11-10T17:43:36 | 2017-11-10T17:43:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 28,351 | py | # -*- coding: utf-8 -*-
##############################################################################
#
# Copyright 2009-2017 Trobz (<http://trobz.com>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by ... | [
"vuhaiqn90@gmail.com"
] | vuhaiqn90@gmail.com |
88d99335caba6138f42cc051359827df973d17f0 | c0d489046bc114672139873916a118a203c6f850 | /Medium/841. Keys and Rooms.py | d29c5a1f36bda29cc39c3dba1352b248a122aa9b | [] | no_license | shifty049/LeetCode_Practice | 165ada14a8fd436e9068bd94d6b82b1ed312013c | ca8be179282be86450c9959fb239466d152a55e5 | refs/heads/master | 2022-05-25T16:23:05.736852 | 2022-03-29T13:48:21 | 2022-03-29T13:48:21 | 249,737,622 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 563 | py | class Solution:
def canVisitAllRooms(self, rooms: List[List[int]]) -> bool:
self.l=list(range(len(rooms)))
def dfs(ix):
if ix not in self.l or not self.l:
return
self.l.remove(ix)
for index in rooms[ix]:
dfs(index)
... | [
"shifty.hsu@kkday.com"
] | shifty.hsu@kkday.com |
297ddf4f98da9f2344dafc3de92c8adb03571fac | 60978890ef7a7c57addc8b47bb03d8ffd329275e | /openfda-3/openfda3.py | 629fb7cf62bde16814348fc6c1e2c42df7d5e4dd | [] | no_license | smonterol/openfda | 4e9d8d138e7050b08e9b6ace549cc5cebc5c9b13 | 9621a5692a8e58607c15ebf50937d94b70213d17 | refs/heads/master | 2021-04-12T11:17:04.247947 | 2018-05-15T21:53:04 | 2018-05-15T21:53:04 | 126,513,334 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,781 | py | import socketserver
import http.client
import json
import http.server
PORT = 8123
MAX_OPEN_REQUEST = 10
lista_m =[]
headers = {'User-Agent': 'http-client'}
conn = http.client.HTTPSConnection("api.fda.gov") # establecemos conexion con el servidor
conn.request("GET", "/drug/label.json?limit=10", None,headers)
r1 ... | [
"saaritamontero@gmail.com"
] | saaritamontero@gmail.com |
7393ed5275df359c4798e683f9f52f70ea73ee36 | 5fd4707876cac0a4ca3b14af9a936301c45b5599 | /02_数据结构/fp_15_一个谜题.py | 12cd3f9686732f4027c53318216d150dbc7debc7 | [] | no_license | xuelang201201/FluentPython | 5b0d89bfc6ee1238ad77db9955ec7e8417b418b8 | 7cbedf7c780c2a9e0edac60484f2ad4c385e1dbd | refs/heads/master | 2022-04-26T21:49:16.923214 | 2020-04-27T01:27:50 | 2020-04-27T01:27:50 | 258,290,957 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | # 一个关于+=的谜题
t = (1, 2, [30, 40])
t[2] += [50, 60]
# 到底会发生下面4中情况中的哪一种？
# a. t变成 (1, 2, [30, 40, 50, 60])。
# b. 因为 tuple 不支持对它的元素赋值，所以会抛出 TypeError 异常。
# c. 以上两个都不是。
# d. a 和 b 都是对的。
# 在终端中运行：没人料到的结果：t[2] 被改动了，但是也有异常抛出
# t
# TypeError Traceback (most recent call last)
# <ipython-input-2-d87... | [
"xuelang201201@gmail.com"
] | xuelang201201@gmail.com |
798ce75de15fbc56d8bea88ecdd01e4dee3df43c | 3cdd99a2ee30fd95a9df4e28f919f79121ce07cb | /1-hello-world/block-letters/snowman.py | 636dfe91fcbd0b4678b5425fdaf55704d3e3c6c8 | [
"MIT"
] | permissive | breyenguyen/learn-python | 656e6f9b7d62e32fda8b00a3c19f15f709a42cff | e83a7b740ad9f5da45b29d0f5dd5c5ff77f095af | refs/heads/main | 2023-06-17T00:58:59.268435 | 2021-07-05T18:56:03 | 2021-07-05T18:56:03 | 376,068,929 | 1 | 0 | MIT | 2021-06-11T15:31:53 | 2021-06-11T15:31:53 | null | UTF-8 | Python | false | false | 793 | py | # Twitter: @anne_melody
# Fun Fact: I drink a looot of water.
print(" * * ")
print(" * ")
print("* * * ")
print(" * * * ")
print(" HHHHHHH * ")
print(" * HHHHHHH ")... | [
"sonnynomnom@gmail.com"
] | sonnynomnom@gmail.com |
77f425730879c3dd471a8760928c966a586b2455 | 79e4ebb7665dd3a753578cf408b83450986f1bd4 | /mil-classification/test.py | 8e7f7f1b67ad6941e74c3fb4e7d57bfacb36f273 | [] | no_license | oole/patch-based-mil-classification | f099f81e00a93f0909f8b28a98c8aa86b594052b | c10dd5b691dc32e2cfcef265e6322edc84c84e08 | refs/heads/master | 2020-05-22T08:27:31.137579 | 2019-05-17T14:40:59 | 2019-05-21T22:36:23 | 186,278,726 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,432 | py | import tensorflow as tf
import data_tf
import dataset
import netutil
import validate
def test_existing_net(slide_datapath, net_loadpath, model_name, dropout_ratio, batch_size, do_augment=False, shuffle_buffer_size=2000):
slide_list, slide_dimensions, num_patches, slide_label = data_tf.collect_data(
slide_... | [
"ole.ostergaard@knime.com"
] | ole.ostergaard@knime.com |
f8af0d6b87d03897d8a81222090ba5350d7aab7d | 6f2bc0bf89a25c14ef5f9025e12184b2a125aeb2 | /language-models/pcfg/problem2.py | 31a422c147437bc4b5a42a68d8585980bf04b1ae | [] | no_license | akashc1/projects | 1e443d8af31083a8fe809891acc7fd43ea111974 | 9fc30b010c04b1b09d08ac54b8881fb259f765f1 | refs/heads/master | 2022-12-14T10:35:44.714295 | 2020-10-05T00:11:02 | 2020-10-05T00:11:02 | 161,357,512 | 0 | 1 | null | 2022-12-08T07:03:47 | 2018-12-11T15:51:33 | Jupyter Notebook | UTF-8 | Python | false | false | 2,524 | py | """
Akash Chaurasia
akashc@jhu.edu
"""
import sys, random
##############################################################################
# Classes and Functions
#
# Rule class
class Rule:
def __init__(self, _name):
self.name = _name
self.children = [] # list of rule names
self.probs = [] ... | [
"akashc@jhu.edu"
] | akashc@jhu.edu |
568bc42695dfdf14190d884be35c1c4afa43689f | d1ac66f9a935fd5515a16a1cc8d4dae0104ea0fe | /src/check_structures.py | 3c3fea7183213683e377187b6fdf992c82b42c34 | [
"MIT"
] | permissive | chemspacelab/meltingpoint | 8b1b1f5a7e6f45fee82c2e8d55db2df29c6ae0bc | e3d8eb61fcb5fa5c9c2a1a03852216e4e625a9c9 | refs/heads/master | 2020-08-30T06:08:17.739191 | 2020-04-17T11:18:32 | 2020-04-17T11:18:32 | 218,285,755 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,068 | py |
import qml
from chemhelp import cheminfo
import numpy as np
from rdkit import Chem
import sys
args = sys.argv[1:]
filename = args[0]
molobjs = cheminfo.read_sdffile(filename)
for i, molobj in enumerate(molobjs):
molobj = next(molobjs)
# stat = cheminfo.molobj_optimize(molobj)
# print(stat)
dis... | [
"jimmy@charnley.dk"
] | jimmy@charnley.dk |
dae39314521542665f7fe4ce4c6605824fa4d40c | 728e57a80995d7be98d46295b780d0b433c9e62a | /src/rewriter/rewriter.gyp | 1566c15345faf46401995133dcfc423cc15a2523 | [
"Apache-2.0",
"MIT",
"BSD-3-Clause",
"GPL-1.0-or-later"
] | permissive | SNQ-2001/Mozc-for-iOS | 7936bfd9ff024faacfd2d96af3ec15a2000378a1 | 45b0856ed8a22d5fa6b4471548389cbde4abcf10 | refs/heads/master | 2023-03-17T22:19:15.843107 | 2014-10-04T05:48:29 | 2014-10-04T05:48:42 | 574,371,060 | 0 | 0 | Apache-2.0 | 2022-12-05T06:48:07 | 2022-12-05T06:48:06 | null | UTF-8 | Python | false | false | 4,492 | gyp | # Copyright 2010-2014, Google Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and ... | [
"kishikawakatsumi@mac.com"
] | kishikawakatsumi@mac.com |
bdea5739deb6de4ea45ee5a8b9375074d1bd4a56 | c1e31f49a59beb6089328d09040f6f48d2e12cde | /lib/python2.7/exportfits.py | 8ac16bd8a03a5dfb2e656ce6285ff75d901e1e57 | [
"Python-2.0"
] | permissive | kernsuite-debian/casalite | 3d81761e0d8ae497f97ea242e98d4357618a7591 | b620981f14f4ba5b77f347f649cd2c16d498db04 | refs/heads/master | 2021-06-22T16:22:51.765703 | 2021-02-25T13:28:05 | 2021-02-25T13:28:05 | 80,822,139 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,655 | py | #
# This file was generated using xslt from its XML file
#
# Copyright 2009, Associated Universities Inc., Washington DC
#
import sys
import os
from casac import *
import string
from taskinit import casalog
from taskinit import xmlpath
#from taskmanager import tm
import task_exportfits
def exportfits(imagename='', fit... | [
"gijs@pythonic.nl"
] | gijs@pythonic.nl |
c0c94415fd844895e83463ca7918a7302f5555c7 | e5b08a9511b52e92739d8993ed3e847afd6b60c4 | /ex432.py | bb0a7b5ddda6025f535fab6740fb287388452276 | [] | no_license | WZnRa/Learn_python_the_hard_way | eb0921de1108400c3ab21bf809bad58c4ffccaf6 | 4fc788026f43fb8233ce2daaaaba87a84375bef4 | refs/heads/master | 2021-01-12T17:49:40.454736 | 2016-10-01T21:27:06 | 2016-10-01T21:28:00 | 69,397,903 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,852 | py | from sys import exit
from random import randint
class Scene(object):
def enter(self):
print "This scene is not yet configured. Subclass it and implement enter()"
exit(1)
class Engine(object):
def __init__(self,scene_map):
self.scene_map = scene_map
def pl... | [
"oswaldzinc@gmail.com"
] | oswaldzinc@gmail.com |
ad1e29a3f160527184a0ec0c15b92c3ce341e4df | 2f7adb453e4c1908f78074cd5d937c312d88f47f | /src/model_measurements/norms.py | bc9eb5466fa47fffe82b7b640c04f98ccf529087 | [] | no_license | ramasesh/scaling_prediction | 0ba48462628ffffde96295861d74d50b8db08737 | b55b26d1df45134fb00d646c95ca7a386ec1642b | refs/heads/master | 2022-07-28T14:24:12.867677 | 2020-05-04T17:27:36 | 2020-05-04T17:27:36 | 261,251,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | import torch
import torch.nn as nn
import numpy as np
def L1_norm(mat1, **kwargs):
return mat1.norm(p=1).item()
def Linfty_norm(mat1, **kwargs):
return mat1.norm(p=float('inf')).item()
def approx_spectral_norm(mat1, **kwargs):
if len(mat1.size()) == 4:
reshaped_mat = mat1.view(-1,mat1.size()[-1]).numpy()
... | [
"ramasesh@google.com"
] | ramasesh@google.com |
d42a1e562cf1f73545cbfd2c3e91e4f9cfb46ce2 | 38b7fd91a9ba24ff4dbfc4a9da08e2a87b18f61e | /bbs.py | 03426219baf58df0d6c968441d9dd261775f5034 | [] | no_license | sabannna/JSJCbbs | b10e41d8499cf2122991c839d86d7a7e47bebe6b | 3ff72aa8bfc378d58ee7398d08658e25fd03b5d5 | refs/heads/master | 2021-01-20T15:18:04.088104 | 2017-06-10T16:32:29 | 2017-06-10T16:32:29 | 90,744,881 | 0 | 1 | null | 2017-06-10T14:46:34 | 2017-05-09T12:47:19 | Python | UTF-8 | Python | false | false | 3,452 | py | #!/usr/bin/env python
#
# Copyright 2009 Facebook
#
# 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 a... | [
"robotman314159264@gmail.com"
] | robotman314159264@gmail.com |
03751bac302d1bfbd2bf027224f83efe634a666c | 9b01f7d430f7ee87217618cfa4567f42635e8923 | /22-06-2017/cloudformation/nginx-demo-1/ansible/.env/lib/python2.7/site-packages/ansible/executor/task_executor.py | 21a29052d1f8809f341b51f3230f658a4224f5cd | [] | no_license | awsusergroupsantiago/demos | ccb045545d2a407a39d865cf19800d2b6d284b8f | e7f0dc8d9a4e8f2547c33a5a294fd76bf3ac9c9c | refs/heads/master | 2022-04-30T23:43:30.646556 | 2020-08-08T01:35:40 | 2020-08-08T01:35:40 | 95,129,959 | 2 | 0 | null | 2022-03-29T21:54:09 | 2017-06-22T15:29:25 | Python | UTF-8 | Python | false | false | 36,398 | py | # (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) an... | [
"eduardo.miranda.becerra3@gmail.com"
] | eduardo.miranda.becerra3@gmail.com |
c80dd6639035ba2d7d73068bb4ded101d2099bf1 | 255705ffe6209508e3d688446e1e7a5b05d4a674 | /blog/models.py | 7eb38ed01906b04d5d8f0668c6d6bcdc37e15f99 | [] | no_license | umangja/MusicPlaylistEvaluator | 2bb38408d045fa92c2ad970e57bbb410dc05a1bd | 093bb317ff23d617a53c4b335f52c19c29194fa9 | refs/heads/master | 2023-03-23T05:10:32.141015 | 2021-03-20T08:25:55 | 2021-03-20T08:25:55 | 305,163,728 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 416 | py | from django.db import models
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
class Post(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
date_posted = models.DateTimeField(default=timezone.now)
author = mode... | [
"umang.jain.cse17@itbhu.ac.in"
] | umang.jain.cse17@itbhu.ac.in |
8823c193b4b4c2f3a5ba194e6a5210ebc7d2c598 | 8eca52ec1d0950b322d9d6e0ab33fb20d6b7e467 | /python/exampleApp/image_convert.py | e2ada265626f5e1c61a7ded8a150e794d20309f4 | [
"BSD-3-Clause"
] | permissive | Temmytayo/PicoLabel | 280ab26838c989adb08a86f2a7a7e0cf761a7b90 | 0a9c31cb760b6f05d45694cf9afe08aaea5c6ca7 | refs/heads/master | 2020-03-21T03:34:15.581344 | 2018-04-18T08:08:28 | 2018-04-18T08:08:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,420 | py | #
# Copyright (c) 2018, MpicoSys Solutions B.V.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of cond... | [
"michal.kamelski@mpicosys.com"
] | michal.kamelski@mpicosys.com |
1ad659ce96d7c0a21a0ac724b443df76f30c3dfb | 3e11bb1261770de0d7e4d9469e08f60b32dc4007 | /intercept.py | dfc404d24fe625051714e12a93cf7aeb37d05735 | [] | no_license | ValentinMor/Taller2 | f8ccd27e36953e45c98498bac5b5e98cf3d2d1c1 | b23197d1998be1449b822afb765d1a4a817eb818 | refs/heads/master | 2023-01-24T00:18:45.380965 | 2020-12-07T02:29:08 | 2020-12-07T02:29:08 | 299,771,548 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 844 | py | def modify_destiny(packet):
if packet['ARP']['src.proto_ipv4'] == '172.31.0.164':
packet['ARP']['dst.proto_ipv4'] = '172.31.1.164'
return packet
def modify_opcode(packet):
if packet['ARP']['src.proto_ipv4'] == '172.31.0.164':
packet['ARP']['opcode'] = '4'
return packet
... | [
"noreply@github.com"
] | noreply@github.com |
62b8907735fd3b6d06a37ae9b1f26172eb1cbfb7 | 922e77ac07392028c2d0ebdd2d40766638ad5008 | /detectron2/data/detection_utils.py | e6692e138ffced257458edebfa9ffc6569fff969 | [
"Apache-2.0"
] | permissive | lucascooper/detectron2 | 9acc0a59a5c45b9dc204e60463ad34a9b1f4db5f | 75ebc5340fa31f9ee0f41e9d6b761db249237043 | refs/heads/master | 2022-11-08T00:22:10.768847 | 2020-06-26T19:06:29 | 2020-06-26T19:08:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,489 | py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
import logging
import numpy as np
import pycocotools.mask as mask_util
import torch
from fvcore.common.file_io import PathMa... | [
"facebook-github-bot@users.noreply.github.com"
] | facebook-github-bot@users.noreply.github.com |
2541688a227dd7f36a30363ef64fb6b120d422c2 | d549e2bc09edcc37436890b7e68c878c73b6a65e | /layout.py | f1c597f6327bcf505f0a9cf8a53f19c1a11369ed | [] | no_license | mohammadT77/AI-HW1 | 819d21f630a8a9aa8081395fb0077fe9892c365f | abb09ab145af3663162597195116ef84fe007f82 | refs/heads/master | 2021-08-27T18:20:57.002678 | 2021-08-12T18:43:00 | 2021-08-12T18:43:00 | 154,628,060 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,731 | py | # layout.py
# ---------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# A... | [
"t.mohammadamin@gmail.com"
] | t.mohammadamin@gmail.com |
503f040e1b7d17b9cd5c53bf0fed7be668d0da1d | 4dce975b640fc38c98ad35c150216daf7dfea5c2 | /readers.py | 4dd80f58089a115bbc292128194c949c5499249a | [] | no_license | raymondr/amr-pipeline-tools | 82280932ac771eab9985813de81a6a4eaed9dfac | 083dffec58338d03dc97c6faf24fab9d23844129 | refs/heads/master | 2021-01-19T21:25:39.129985 | 2015-10-01T15:28:19 | 2015-10-01T15:28:19 | 34,635,749 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,866 | py | def read_fasta(file='../master_AMRdb.fa', shorten=False, max_length_shorten=True):
with open(file) as f:
lines = f.readlines()
name = None
map = {}
name_map = {}
seq = ''
for line in lines:
line = line.rstrip('\n')
if line.startswith('>'):
if name:
... | [
"rob.raymond@hp.com"
] | rob.raymond@hp.com |
33bdb4582038a91bae8497cd7eeaf9fcc0401775 | ac62dabce97670b447f56f2905e4065fd8eb6538 | /examples/13-vrm/plot_vrm_inv.py | 8a24d087baccb5e97043edd57d0266264818204e | [
"MIT"
] | permissive | Nanyaohui/simpeg | bb269cd60e175daefd08738a9e613de99ac99aaa | 4af6cfafa861a5161e951c3b0961bceb2125a0fb | refs/heads/master | 2020-06-27T15:30:41.130942 | 2019-07-31T21:07:23 | 2019-07-31T21:07:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,479 | py | """
Method of Equivalent Sources for Removing VRM Responses
=======================================================
Here, we use an equivalent source inversion to remove the VRM response from TEM
data collected by a small coincident loop system. The data being inverted are
the same as in the forward modeling example. ... | [
"devinccowan@gmail.com"
] | devinccowan@gmail.com |
99645ee08971d3f93bc3d83aa991170c7622c2de | a424de85e049620131b06cec8cce1af46dd40dc7 | /onnxruntime/python/tools/quantization/operators/activation.py | 6454c46f0b3f7fb11f0db84be7bf968de681ffdc | [
"MIT"
] | permissive | nietras/onnxruntime | 2e14d9337b16b6cf0db6ff183f43b729954e1ed2 | 6b148e15e143a2143abf6687ef71dd8578c3e912 | refs/heads/master | 2022-09-22T17:23:58.996968 | 2022-08-30T23:47:36 | 2022-08-30T23:47:36 | 191,154,184 | 0 | 0 | MIT | 2020-02-03T11:37:58 | 2019-06-10T11:20:14 | C++ | UTF-8 | Python | false | false | 4,351 | py | import onnx
from onnx import onnx_pb as onnx_proto
from ..quant_utils import TENSOR_NAME_QUANT_SUFFIX, QuantizedValue, QuantizedValueType, attribute_to_kwarg, ms_domain
from .base_operator import QuantOperatorBase
from .qdq_base_operator import QDQOperatorBase
class QLinearActivation(QuantOperatorBase):
def __in... | [
"noreply@github.com"
] | noreply@github.com |
6a952868a261b868e9c58848f75d1dac94c5fa94 | 2befe3929950fd5d6257ed6b1f1fd5751995f22f | /solutions/check_subtree.py | a2779ef79e6a22b1089bde9d419b810b2467168b | [] | no_license | redpanda-ai/ctci | a493abda7d95639ab785199ac77dfdcf529a1dd6 | a621b25b55c749a678577fad4658b0b9171f889f | refs/heads/master | 2021-07-09T18:26:17.193734 | 2020-09-26T04:02:20 | 2020-09-26T04:02:20 | 200,296,580 | 2 | 1 | null | 2023-09-14T00:36:51 | 2019-08-02T20:52:51 | Python | UTF-8 | Python | false | false | 821 | py | class Node:
def __init__(self, data, left=None, right=None):
self.data = data
self.left = left
self.right = right
def get_preorder_string(root):
if not root:
return 'X'
return str(root.data) + get_preorder_string(root.left) + get_preorder_string(root.right)
a = Node(5)
b... | [
"joeandrewkey@gmail.com"
] | joeandrewkey@gmail.com |
6da2cc3c97cbe5ad9f93d58d1dbc60ac82050b43 | 1aac363a13a1a129089c34e80a0450d4b86dc245 | /mysite/settings.py | f9a3b2ca58e919db76200a0c55e672bfe43bf073 | [] | no_license | shivamj2200/Assignmen1 | 02283a4bfdfce347a34c26e59de4713105273de0 | b65c30d9038001abc11c8eda94bae1d0e6084a6e | refs/heads/main | 2023-07-12T03:24:05.618374 | 2021-08-18T22:58:00 | 2021-08-18T22:58:00 | 397,107,514 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,294 | py | """
Django settings for mysite project.
Generated by 'django-admin startproject' using Django 3.2.6.
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 pathlib ... | [
"shivamjaiswal2200@gmail.com"
] | shivamjaiswal2200@gmail.com |
51ac1470bca4296d1afb8b9e0855567bd64156a7 | 4a2bd79126727795671f50d4f0cc0cbd27cf23b8 | /recipes/filters/filters.py | ef4295f7f9e0c02e121750f65922b5c796866a82 | [] | no_license | afga97/recipes-restframework | 5d980e91cba78e15c7b61bbde3c5e6cc3a731f7b | baf05a5167dad387dde14504a7be47ac38a334e7 | refs/heads/master | 2022-05-28T16:59:07.879056 | 2019-06-19T18:06:39 | 2019-06-19T18:06:39 | 205,434,310 | 0 | 0 | null | 2022-05-25T02:30:35 | 2019-08-30T18:11:52 | Python | UTF-8 | Python | false | false | 249 | py | from django_filters import rest_framework as filters
from recipes.models import Recipe
class RecipeFilter(filters.FilterSet):
class Meta:
model = Recipe
fields = {
'name': ['exact', 'icontains', 'contains']
} | [
"afga199714@gmail.com"
] | afga199714@gmail.com |
86203cbdc8524bc438ae6337aa0c9192f9d21c19 | bfc25f1ad7bfe061b57cfab82aba9d0af1453491 | /data/external/repositories_2to3/152687/plankton-classification-master/code/maxout/train.py | 1a1c2151cd0734ec1b1463ad74ed84d26eb51fef | [
"MIT"
] | permissive | Keesiu/meta-kaggle | 77d134620ebce530d183467202cf45639d9c6ff2 | 87de739aba2399fd31072ee81b391f9b7a63f540 | refs/heads/master | 2020-03-28T00:23:10.584151 | 2018-12-20T19:09:50 | 2018-12-20T19:09:50 | 147,406,338 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 9,293 | py | import os
import numpy as np
from data import load_images
from realtime_augment import RealtimeAugment
from pylearn2.datasets import preprocessing
from pylearn2.training_algorithms import sgd, learning_rule
from pylearn2.termination_criteria import EpochCounter
from pylearn2.datasets.dense_design_matrix import... | [
"keesiu.wong@gmail.com"
] | keesiu.wong@gmail.com |
3d84c644fe978b95baa8547331d8fa07d21c8340 | e10aac10ba37fe2645873eb524a4d0bb75361e9a | /kts123/assignment3/cs231n/rnn_layers.py | 38352bc24dd903230f466e004de8fbda316ce5d0 | [] | no_license | visionest/cs231n | 631e28821610f51300fc900d81d4d262f83298e0 | 5bebdffa804ef2e9270577d92ce7f01757818cfa | refs/heads/master | 2020-09-28T02:11:20.550631 | 2018-07-12T15:10:40 | 2018-07-12T15:10:40 | 67,966,459 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 24,390 | py | #-*- coding: utf-8 -*-
import numpy as np
import itertools
"""
This file defines layer types that are commonly used for recurrent neural
networks.
"""
def f_broadcast (x, shape):
e = np.tile(x, shape)
s = shape + np.shape(x)
return e.reshape(s)
def df_broadcast (dout, x, add_shape):
for _ in xrang... | [
"kts12345@github.com"
] | kts12345@github.com |
2c47955f631a9d3fa714d69e4428008c8a4aee4d | eed45b6f4a2c991c00a89537166a16ec9f7dbd78 | /youstagram/views.py | ab41c25338c416a2d3bf58049d7de171f2845a76 | [
"MIT"
] | permissive | Jeewhan/YouStagram | f9632a97cfefa08f625ab810fd439ce51f30886b | 3d19ce96869bb586f680ebb600593bcc9decf369 | refs/heads/master | 2021-06-10T11:55:00.094323 | 2017-02-22T06:24:23 | 2017-02-22T06:24:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 248 | py | from django.shortcuts import render
from photos.models import Photo
def index(request):
photo_list = Photo.objects.all().order_by('-created_at')
ctx = {
'photo_list': photo_list
}
return render(request, 'index.html', ctx) | [
"distinct19@gmail.com"
] | distinct19@gmail.com |
5f3368b4e2f8fb1c3c9239fc1e759b36f7118723 | d98cd7354fc5f411f0202eb09012976166956358 | /legacy_codes/TDT2CSV_20200612_2.py | f4550df9afa768f214c96d39f06f82e756d25897 | [] | no_license | jgshin354/EEG-DGMIF-jgshin | 074aed8fd468b3bcfa0272c88e9ce4202b2ae0f2 | e00c6facbb9e6db2dfd88c862d3364e7126ba292 | refs/heads/master | 2023-07-04T22:57:48.878971 | 2021-08-26T23:55:47 | 2021-08-26T23:55:47 | 270,519,682 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,703 | py | # -*- coding: utf-8 -*-
"""
Created on Wed May 13 17:19:39 2020
@author: JGSHIN
refer the TDT python package https://www.tdt.com/support/python-sdk/
"""
#%%
import os
#import glob
import numpy as np
from scipy.interpolate import interp1d
import scipy.ndimage
import matplotlib.pyplot as plt
import tdt
#from tdt import... | [
"jgshin354@gmail.com"
] | jgshin354@gmail.com |
80509a4100a0b7a0b6de57078ebe5ef55cc51a85 | 0591d8751367dd08778b92eb552e9750447ae4c4 | /WeChat/settings.py | ab25fddc628dd4c9e3e552e0f63288ab3285941f | [] | no_license | fwzhuangCg/Wechat | 45fad4cfbc3f7accd29b0f13d0f080420c5ebe8e | 603931df8c17e14076aba5a2d7c3e6641e9ba202 | refs/heads/master | 2021-05-27T20:25:36.101769 | 2014-05-18T00:09:02 | 2014-05-18T00:09:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,351 | py | # Django settings for WeChat project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.', # Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'.
'NAME': '', ... | [
"986450042@qq.com"
] | 986450042@qq.com |
f84d1b36850cdefd80ce3e75dc92ecde492c2f90 | a1a17ee29c5ad8530220a4832517ca41f980f27c | /GoogleAuthenticatorBackEnd/wsgi.py | a7e416ef654c23439353412e1c8a40065056690d | [] | no_license | Rayooo/GoogleAuthenticatorBackEnd | fab8b697eb8de1768f2278e53360572862c1f54b | 28f6497ef4c53c816870238b5cb66ca5256440b5 | refs/heads/master | 2020-12-24T06:33:39.574429 | 2016-11-19T05:17:18 | 2016-11-19T05:17:18 | 73,472,146 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 429 | py | """
WSGI config for GoogleAuthenticatorBackEnd 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/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setde... | [
"chenxiaolei.ray@gmail.com"
] | chenxiaolei.ray@gmail.com |
1847dcb566c43191c94f34f3bfdac74ca74d1457 | 795323be211f9d53dc58e4404f4f702fd65efe1c | /src/kyoto_reader/pas.py | 737a3ddffce0e8d0e471e6b8b38229627d1dcba5 | [
"MIT"
] | permissive | Tzawa/kyoto-reader | 55c565a145432b837b8877c3fa4df7db05bba218 | 02b95ffeb92ffebaf43ce7ed710a71aec2e46105 | refs/heads/master | 2023-01-29T00:55:18.679974 | 2020-12-15T15:39:47 | 2020-12-15T15:39:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,223 | py | import logging
from typing import List, Dict
from collections import defaultdict
from abc import abstractmethod
from .base_phrase import BasePhrase
logger = logging.getLogger(__name__)
logger.setLevel(logging.WARNING)
# 述語を表すクラス
Predicate = BasePhrase
class BaseArgument:
"""全ての項の基底クラス"""
def __init__(self... | [
"ueda-n127@hotmail.co.jp"
] | ueda-n127@hotmail.co.jp |
0cc9f793bbbacb2d71d1f077caac1470878e96ee | badb121a8c72debc539e7b9caf17b5c4cd875897 | /setup.py | d788bb0448c2f1d68b5d93911c2598c8b73aeadc | [
"MIT"
] | permissive | shlpu/DeepNeuro | 8721e1f83b30031a422e6cf112c31879edfa0feb | 6b239942589d1b05e2384019c442508f5d02beb3 | refs/heads/master | 2020-03-16T07:12:25.128910 | 2018-04-10T22:32:29 | 2018-04-10T22:32:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,506 | py | """DeepNeuro: A deep learning python package for neuroimaging data.
Created by the Quantitative Tumor Imaging Lab at the Martinos Center
(Harvard-MIT Program in Health, Sciences, and Technology / Massachussets General Hospital).
"""
DOCLINES = __doc__.split("\n")
import sys
from setuptools import setup, find_pack... | [
"andrew_beers@alumni.brown.edu"
] | andrew_beers@alumni.brown.edu |
7c05796925367ac4e5290c0e31564df93a3d4115 | f31441d1eebe6eac19988eb52fd2fbbd52aee222 | /vara/main.py | 0ef988a40f09a4d84d0f6cebbdecb879469b34fa | [] | no_license | plusTammi/snake | 771a547b2a91868fe94001c98fa99a5e3830042b | 24c6d44901dbc7175ea689398f60216dd7ea04c2 | refs/heads/master | 2021-01-22T23:58:15.313472 | 2014-12-05T17:23:56 | 2014-12-05T17:23:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,089 | py | import numpy as np
import queue
import matplotlib.pylab as plt
import matplotlib.animation as animation
import copy
from time import sleep
##0##
#3#1#
##2##
def unique_columns2(data):
dt = np.dtype((np.void, data.dtype.itemsize * data.shape[0]))
dataf = np.asfortranarray(data).view(dt)
u,uind = np.unique... | [
"juhani_55@hotmail.com"
] | juhani_55@hotmail.com |
75b3a9895a158f61870ce7f6948ee8c615166ebf | ad1fc1783487a70b3b10e9d3927cd864d15a6056 | /pytablewriter/style/__init__.py | 01aa4c10be5158f44fcc371276ce1231fe78cce7 | [
"MIT"
] | permissive | Diwahars/pytablewriter | ea1d53669d7f0507c35332cb296fc9c0015473d0 | 6275405d75cb091c9e225e278b0d1230736fb9e8 | refs/heads/master | 2020-04-16T09:41:39.070414 | 2019-01-09T13:38:03 | 2019-01-09T13:38:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 321 | py | # encoding: utf-8
from __future__ import absolute_import
from ._font import FontSize, FontWeight
from ._style import Align, Style, ThousandSeparator
from ._styler import (
HtmlStyler,
LatexStyler,
NullStyler,
TextStyler,
MarkdownStyler,
ReStructuredTextStyler,
)
from dataproperty import Format... | [
"tsuyoshi.hombashi@gmail.com"
] | tsuyoshi.hombashi@gmail.com |
5a79ad8406826ef375b6dd914e43c79d60c3fe09 | 279a70e69314776d880c3f7824e2cfd74935f4ed | /Group1/Team1/demo_enhancements/ws.py | bad238552a5c13b320d3c3f510374ee478715001 | [] | no_license | mpant/asdrp2019 | f80a9adbdf0666a899e1dcd8ba4cee0a65266e94 | 01b25022a6dc2b33339af3a5ce9fe1b1e5de80e0 | refs/heads/master | 2020-06-29T03:29:27.453110 | 2019-08-20T23:42:07 | 2019-08-20T23:42:07 | 200,427,042 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,515 | py | #!/usr/bin/env python3
import logging
import os
import re
from ev3dev2.motor import MoveJoystick, list_motors, LargeMotor, MoveTank, SpeedPercent, OUTPUT_C, OUTPUT_B
from http.server import BaseHTTPRequestHandler, HTTPServer
from ev3dev2.sound import Sound
log = logging.getLogger(__name__)
# ===========... | [
"meenalpant@gmail.com"
] | meenalpant@gmail.com |
54b5f9999727867f92c0a86ef38bb2f8502bf5aa | 56fc8fe58ec8d576ec857f19a8adc43b49e19125 | /DjangoDrf/DjangoDrf/urls.py | c75f1d5a486221814c1b64622ac12621ad0426fc | [] | no_license | Qpigzhu/Drf | 53ae3dfd7d2715ea49bbfca02ada1a9239cb25a2 | e4faa165a81abe8e641b992b6f86cc46cb01ac16 | refs/heads/master | 2022-12-13T16:30:33.868771 | 2018-12-12T02:34:11 | 2018-12-12T02:34:11 | 161,421,986 | 0 | 0 | null | 2022-12-08T01:20:24 | 2018-12-12T02:32:20 | JavaScript | UTF-8 | Python | false | false | 2,253 | py | """DjangoDrf URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | [
"331103418@qq.com"
] | 331103418@qq.com |
06be3888ac318f4916ff7e4dad1b5319228142e5 | 3353af945c0975b352b2e423790b8063fb36bba8 | /Spotkanie2/zadanie4.py | 429a6eb1babbfb072d130a2570a15d1aba8b4a81 | [] | no_license | KubaMatejuk/Python_course | 7d4c68cc56a2663f14c2228dec749f3f0bcf2276 | 5f01ed90ca4acb55495fd14f9753543f2bed7c5f | refs/heads/master | 2020-04-09T03:39:37.396870 | 2018-12-11T09:49:06 | 2018-12-11T09:49:06 | 159,991,514 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 333 | py | def suma_dzielnikow(n):
suma=[]
for i in range(1,n):
if n%i==0:
suma.append(i)
return suma
def czy_pierwsza(n):
if len(suma_dzielnikow(n))==1:
return True
return False
dane = [2,3,4,5,6,7,8,9,10,11]
# for liczba in dane:
# print("{0}: {1}".format(liczba,czy_pierwsz... | [
"jmatejuk@gmail.com"
] | jmatejuk@gmail.com |
79740fbb37e6a70bcc0a96e542685e711047089e | 82ef40d327b951aea7337d7490bf47ed26b69bdc | /day019/race.py | 3cff2620631fe7f06d1a1b89f7bb69655e683e89 | [] | no_license | sdearth/pythoncourse | 5b9ef4b66f0f298d9ff70a5d04a940c3e8ac080e | 82be08539edfeca4fb4317bafdac854d1166c56e | refs/heads/main | 2023-03-30T13:07:31.264659 | 2021-04-12T16:27:46 | 2021-04-12T16:27:46 | 334,978,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 968 | py | from turtle import Turtle, Screen, color
import random
is_race_on = False
screen = Screen()
screen.setup(width=500, height=400)
colors = ("red", "orange", "yellow", "blue", "green")
turtles = []
for index in range(0, 5):
turtles.append(Turtle(shape="turtle", visible=False))
turtles[index].color(colors[index... | [
"stevedearth@us.ibm.com"
] | stevedearth@us.ibm.com |
62fd56ed06eb0f0be7d167242876b87462661f8e | 6027132e5b7277340fd60687a3e553a67bb38111 | /list_ingredients/ingredients/urls.py | 9e712cc4e4ad2765aff2c107e71aaaf1ebaea3e6 | [] | no_license | jchung05/Thizzle | ab3ec7908ac3b00791475ed87660711f74d92235 | 818bed1134fb75fb4ef0dfbbaf4fae94bdab3853 | refs/heads/master | 2022-06-02T09:45:30.984225 | 2019-07-09T01:07:39 | 2019-07-09T01:07:39 | 195,903,872 | 0 | 0 | null | 2022-04-22T22:03:16 | 2019-07-09T00:28:11 | Python | UTF-8 | Python | false | false | 199 | py | from rest_framework import routers
from .api import IngredientViewSet
router = routers.DefaultRouter()
router.register('api/ingredients', IngredientViewSet, 'ingredients')
urlpatterns = router.urls | [
"joeychung960@gmail.com"
] | joeychung960@gmail.com |
4fdd0d8c6ae5710146751a450372bd9c6f5b06d7 | 1934761958bbb6082beebe887af36d7579d73fd5 | /sandbox/test_concatenation.py | e25fa9c7ed94080b29d6fbe34cc88e58924e3439 | [
"MIT"
] | permissive | sjoerdapp/tacoma | 92d16e0beb93a3fc0dd0a745bccc35e050fa5dbe | 3c63d51e2b9b021f95a6945716f50b557dd41d52 | refs/heads/master | 2020-04-10T14:01:22.713198 | 2018-12-07T17:10:09 | 2018-12-07T17:10:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,403 | py | import tacoma as tc
print("===== edge_lists => edge_lists =====")
L = tc.edge_lists()
L.N = 4
L.t = [0.0,1.0,2.0]
L.tmax = 3.0
L.edges = [
[
(0,1)
],
[
(1,2), (0,2)
],
[
(0,1)
],
]
L2 = tc.e... | [
"benjaminfrankmaier@gmail.com"
] | benjaminfrankmaier@gmail.com |
b93d98b8f40cbb5c1319e137fdf50a065a25f97b | b03cd27d329160c8ba501763ba1483eb906ceca7 | /Feature Selection/extratrees_clasif.py | 65a08208238a9d392f5c9d52192073482baf1820 | [] | no_license | ShubhamSGupta/Predictive-Machine-learning | 106717872b62b31a430e4865f6668cf37050138f | b5acf67dbbcd69ef3a057f69fdc9da386cfe38ae | refs/heads/master | 2020-04-14T16:09:07.155389 | 2019-01-04T04:44:29 | 2019-01-04T04:44:29 | 163,944,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 671 | py | # Feature Importance with Extra Trees Classifier
from pandas import read_csv
from sklearn.ensemble import ExtraTreesClassifier
# load data
filename = 'data/breastCancer.data.csv'
names = ['Id', ' Clump Thickness', 'cell size', 'cell shape', 'Marginal Adhesion', 'Single Epithelial Cell Size ',
'Bare_Nucle... | [
"noreply@github.com"
] | noreply@github.com |
af5a21aa4b4f4efd56f913cf38ae2495c8b1b738 | 8fca0112fa22d929649422fee76a7e926ec7b512 | /Classes/FileBuilder.py | fe0119022721016c2e03e79e1e2aac354b14dcc1 | [] | no_license | pedroribeiro89/PDBParser | c75955d8e244944d12d427a08258f99b3c12d4ee | 8d49038c76afc5a9c4682e61a1d9f92399514962 | refs/heads/master | 2021-01-10T05:30:35.884046 | 2016-03-17T02:55:47 | 2016-03-17T02:55:47 | 54,083,313 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 11,883 | py | import Codification
import pdb
class FileBuilder:
""" Class for writing the tests and training files. """
crossValidation = None
folder = None
greaterSequence = None
vectorForm = None
codification = None
maskSize = None
normalization = None
hash = {}
HASH_INDEX = 1.0
final_test1 = []
final_test2 = ... | [
"pedroribeiro89@gmail.com"
] | pedroribeiro89@gmail.com |
48eb2f2cf9b22566694a5b5a23af5047272d9505 | d342aeb8f819f48fd59f2b722f429e52f7b78b35 | /harness.py | 0a3330b6f3568a3f9c21b8318407eb83b4fc41d2 | [] | no_license | clemesha-ooi/ctx-broker-scalability-harness | d3e8591f686a5b9517536e9f22e2f71312bc1fe6 | 3be6ff20308f0eb4e8d676aefb211b49f8c479f5 | refs/heads/master | 2021-01-21T22:29:09.591410 | 2010-01-21T21:24:23 | 2010-01-21T21:24:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,323 | py | import sys
sys.path.append("nimbus/ctx-agent/ctx/lib/")
import os
import shutil
import logging
from threading import Thread
from actions import DefaultRetrieveAction, InstantiationResult, AmazonInstantiation, DefaultOK
from conf import getconfig, getCommonConf, getAmazonConf, DEFAULTCONFIG
from ctx_logging import addF... | [
"clemesha@ucsd.edu"
] | clemesha@ucsd.edu |
5769b7cce33ddbc4d52419f96ef57d8f849661bf | 6d6f962f07c2df079745860a9d84649961c2a33c | /aicoco/settings.py | 5fc15e470ea3b3fd90cf6c2385d1d03b9f5712a0 | [] | no_license | sharkdaddyAI/fintastic-django | 50c24615d6dc0966c1f934c57ab0863df80a92f6 | b9a6e3af9e38c72378e0273be939058f726033be | refs/heads/master | 2022-12-11T21:26:06.649178 | 2018-07-10T01:18:05 | 2018-07-10T01:18:05 | 139,480,669 | 0 | 0 | null | 2022-07-06T19:49:24 | 2018-07-02T18:38:43 | HTML | UTF-8 | Python | false | false | 3,676 | py | """
Django settings for aicoco project.
Generated by 'django-admin startproject' using Django 2.0.5.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
# ... | [
"richard.lo@gudy.com.tw"
] | richard.lo@gudy.com.tw |
0934cce5eadeec8b9f2b2e23442a5ac9dbe02f65 | f7892b7e85bc94384db1d4a3a10925abdb69a70c | /03_MergeStage1-2/copy_weights.py | 7c06092ef13728403125589ad3173d0931b540e7 | [] | no_license | hberntsen/resisting-adversarials | 6c86115a10bd181815e9ab5dc84ce30d97adf1a4 | bdbb688610bc0703ad137a6da55972aaaf28dd02 | refs/heads/master | 2020-12-25T20:20:51.249648 | 2017-04-10T09:23:35 | 2017-04-10T09:23:35 | 56,307,108 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 986 | py | import caffe
caffe.set_mode_cpu()
net1 = caffe.Net('../02_TrainStage1/deploy.prototxt', '../02_TrainStage1/stage1_iter_40000.caffemodel', caffe.TEST)
net2 = caffe.Net('../02_TrainStage2/deploy.prototxt', '../02_TrainStage2/stage2_iter_500000.caffemodel', caffe.TEST)
merged = caffe.Net('../00_PrototxtDeploy/generated/s... | [
"harm.berntsen@nedap.com"
] | harm.berntsen@nedap.com |
9498f18225176e960b4bbdd519b3546a250f82d6 | 59fe3d3a257148e2e6c7fa467ead6f73851e62ca | /assigment1.py | fdfc6b160d6ebbc92c0d07ef5a0ee819d8fb71f6 | [] | no_license | pdidit/Python-project-part-2 | 87c6ee50d1275f3fb66cd6003d1e11f71d4382ab | 20654b44758a63cc08cecd0161de19485a42ccff | refs/heads/main | 2023-01-11T14:43:38.318818 | 2020-11-15T00:28:13 | 2020-11-15T00:28:13 | 312,823,555 | 0 | 0 | null | 2020-11-14T20:40:50 | 2020-11-14T13:34:07 | Python | UTF-8 | Python | false | false | 17,032 | py | """
Applied Scripting Assignment 1 part 1
@author: A00288402
"""
#Import square function to be used in stst calculation
from math import sqrt
files = ["life_projects.csv", "income_for_project.csv"]
income_data = []
life_expectancy = []
output =[]
country = []
year2000 = []
year2001 = []
year2002 = []
year2003 = []
y... | [
"padraic.meehan@gmail.com"
] | padraic.meehan@gmail.com |
49824e260fe54b64388cf2987d5e3733cdaf6e20 | 4703d5bef8ab009a599854c4719cc766f151e830 | /scraping/wikihow_links_scraper.py | fc248477d15e65321a1423681cae9b4faae8f71e | [] | no_license | bahattintozyilmaz/thesis-codes | bb9863b6389acd69f7dcd2ed32227f28e2189021 | 1e1370f770bbaa9b5c1ebdcad01a2a58a8a9193f | refs/heads/master | 2021-09-24T09:48:15.606671 | 2018-10-07T16:17:02 | 2018-10-07T16:17:02 | 105,190,650 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 779 | py | import scrapy
import re
article_count_to_load = 5000
num_loads = 100 # 500k articles
base_url = "http://www.wikihow.com/index.php?title=Special:PopularPages&limit={}&offset={}"
class WikihowLinksSpider(scrapy.Spider):
name = 'wikihow_links'
start_urls = [base_url.format(article_count_to_load, i*article_count_to_lo... | [
"baha@udemy.com"
] | baha@udemy.com |
3334b107f1bedf2d90e254275f0884be99bd4f77 | 3792c36607b418a3e2c2abe0277823715c5ba4e9 | /Vulnerability-Intelligence/Vulnerability-Intelligence-LLM/data_collection/data_collection.py | 18784706e120967dc4b607c726a1c264683d8ec1 | [
"MIT"
] | permissive | Ap6pack/PythonProjects | 48e7fd6e83c4369de90c90a27d58cf2ea8f9d3f1 | 991f50682293f8a4b467f3610cbb5e9788e9e74a | refs/heads/master | 2023-08-22T09:53:12.343682 | 2023-08-16T00:41:09 | 2023-08-16T00:41:09 | 89,826,544 | 1 | 0 | null | 2023-05-23T23:31:07 | 2017-04-30T03:16:20 | Python | UTF-8 | Python | false | false | 1,230 | py | # data_collection.py
import requests
import json
# GitHub API endpoint for search
github_api_search_url = "https://api.github.com/search/repositories"
# Your GitHub personal access token
access_token = "YOUR_ACCESS_TOKEN"
# Keywords related to CVEs and vulnerabilities
search_keywords = "CVE vulnerabilities"
# Defi... | [
"noreply@github.com"
] | noreply@github.com |
0f9324881116da5ccc6d95e209e3b1eca52c64cb | d0bdf444c71b724ecfd59b5bc6850962c56494cb | /labs/07-resampling_and_the_bootstrap/tests/q0_2.py | cb757a625b8c22fcb31df3b7f2d4ca35b9ab74d6 | [] | no_license | ucsd-ets/dsc10-su20-public | 10e3d0ff452b337f222baee330fe60d1465b0071 | 38787e6cc3e6210b4cc8a46350e5120845971c9f | refs/heads/master | 2022-12-13T23:28:20.512649 | 2020-09-03T19:28:06 | 2020-09-03T19:28:06 | 275,905,339 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 356 | py | test = {
'hidden': False,
'name': '0.2',
'points': 1,
'suites': [
{
'cases': [
{
'code': r"""
>>> p_50 == 76
True
""",
'hidden': False,
'locked': False
}
],
'scored': True,
'setup': '',
'teardown': '',
... | [
"eldridgejm@gmail.com"
] | eldridgejm@gmail.com |
7fb928e0e715d0c2628cd1e8ced2a9c619141001 | e24e498fe8f29267dc5efc8849a5126178eb096c | /program/Python/pythonPractice/NetProgram/tcp/client/login.py | 37e74809036146b36884befc48e089086284d86f | [] | no_license | DSSSSSSS/PythonPractice | d167dd3d57e95b7ced55f9166f43e450d7a5a945 | 0b5513d0dc026da37663ce950eacd3f93810b0e1 | refs/heads/master | 2020-04-02T23:09:24.009959 | 2018-12-13T15:27:00 | 2018-12-13T15:27:00 | 154,857,362 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 709 | py | import socket
import time
sk = socket.socket()
print(__name__)
class user():
def __init__(self, username, passwd):
self.username = username
self.passwd = passwd
def __str__(self):
return str(self.username)+" "+str(self.passwd)
class login():
def __init__(self, user: user):
... | [
"392263014@qq.com"
] | 392263014@qq.com |
5294c57910e749afa0feb0dc04adc4fd5fdc14aa | a7685d315e6616cc2b6d43587bb19ead4324fb2a | /cci_salesman/wizard/extract_participations.py | 11c7dc952971d632537da32cf14d109bdf728a5d | [] | no_license | philmervdm/modules_cci_odoo8 | 472ea68de409e876722413afdd873d6a7827744e | 603144219a86e805f7603cfafc0fb05a78166eef | refs/heads/master | 2021-01-09T20:02:58.326569 | 2017-05-06T15:45:03 | 2017-05-06T15:45:03 | 60,332,279 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 2,601 | py | # -*- encoding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2009 Tiny SPRL (<http://tiny.be>). All Rights Reserved
# $Id$
#
# This program is free software: you can redistribute it and/or modify
#... | [
"philmer@ccilvn.be"
] | philmer@ccilvn.be |
46a50c9ccf7545ed680cba272c9f71b7a18630c9 | f4a05feb29e5d5fb59e231fc782c2ec68d4ae815 | /omnipack/os/__init__.py | 910c32d97bee57affc129b80f2f42b460251ad46 | [
"Apache-2.0"
] | permissive | FrankLeeeee/OmniPack | 137bcdb3d90017911526e3190d7ac9ec786fd329 | b63c13bcafb47ee954bc2535f7a941a93b7d56a0 | refs/heads/master | 2022-11-10T14:54:08.290280 | 2020-06-25T09:04:30 | 2020-06-25T09:04:30 | 270,271,011 | 0 | 0 | Apache-2.0 | 2020-06-25T09:04:32 | 2020-06-07T10:30:10 | Python | UTF-8 | Python | false | false | 340 | py | from .network import kill_port, get_host, get_hostname, is_port_available
from .process import kill_multiprocess, kill_process
from .sys_info import get_cpu_state, get_memory_state
__all__ = ['kill_port', 'get_host', 'get_hostname', 'is_port_available',
'kill_multiprocess', 'kill_process', 'get_cpu_state', ... | [
"somerlee.9@gmail.com"
] | somerlee.9@gmail.com |
07382111d4dd14b487f8ddc2f8632c66c9034b55 | 60d2c390736f5dce1cd0c9d4249a0ab95bdae802 | /worker/vtmis/vtmis/vtmis.py | 6c886d68c3dbbe2f79a09e4295661bcb96a4eb5f | [
"Apache-2.0"
] | permissive | tsmolka/stoq-plugins-public | d996b0be051ce0bac453af7380e7cbfecc03ff93 | a8d3351fe55fc72891c395d6767188746bf381cf | refs/heads/master | 2020-12-28T22:22:15.077514 | 2016-07-13T17:57:43 | 2016-07-13T17:57:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 15,148 | py | # Copyright 2014-2015 PUNCH Cyber Analytics Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"marcus@randomhack.org"
] | marcus@randomhack.org |
07151db73c571183b2efe81f155b7ee8f4d0d5aa | 9b8e2992a38f591032997b5ced290fe1acc3ad94 | /untitled1.py | 5168631138eec406cbc548e97cca8ab1abb1401a | [] | no_license | girishdhegde/aps-2020 | c694443c10d0d572c8022dad5a6ce735462aaa51 | fb43d8817ba16ff78f93a8257409d77dbc82ced8 | refs/heads/master | 2021-08-08T04:49:18.876187 | 2021-01-02T04:46:20 | 2021-01-02T04:46:20 | 236,218,152 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,329 | py | import cv2
import numpy as np
def dense():
global cap,currentframe
if denseflag==1:
x=currentframe
x1=x-100
y1=x+100
count=x1
cap.set(1,x1)
ret, frame1 = cap.read()
prvs = cv2.cvtColor(frame1,cv2.COLOR_BGR2GRAY)
while(count<y1):
... | [
"girsihdhegde12499@gmail.com"
] | girsihdhegde12499@gmail.com |
09019d8b5d352b49798f4e46e97ddbb64cd10ef1 | 0bfd56ce6b51f78bb3fb41eb2448c03e882cc0aa | /Exercice 1/NA_U01_difference_quotient.py | a308bc50f362bce4f36f27a8f40597144af04688 | [] | no_license | julesbouvet/Numerical_Acoustic | 7dc623812cae8479957e02f81936637575709ef2 | ad1d61934b34883999552b15a0917e00951287a4 | refs/heads/master | 2023-04-19T05:19:59.405796 | 2021-05-05T15:03:24 | 2021-05-05T15:03:24 | 358,221,175 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 688 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import cmath
rho0 = 1.2
c0 = 343
global k
k = 0.9 #wavenumber
def p_hat(x_coord):
return 0.5*cmath.exp(-1j*k*x_coord)
x = 1
#exact solution
v_hat_exact = p_hat(x)/(rho0*c0)
print("v_hat_exact =", v_hat_exact)
omega = k*c0 #angular frequency
dx = 0.1 #=0.5
#for... | [
"j.bouvet99@gmail.com"
] | j.bouvet99@gmail.com |
f5d15bf969201c9d3a1f2b08dadb69c99f6b95e2 | a9fada0eb1fceeb2a79069cf0f391dabf3fcf1f8 | /e-com/env/src/ecommerce/products/migrations/0008_auto_20181029_1806.py | d09de932e61e4370c8bfd73cbccb9b179ba9692c | [] | no_license | suryavamsi1563/ecommerce-sec3 | b3c41b50ffe11e4df832e966801557c7e6a60616 | b0240f642c6fba3253927d0bf4a7ddf1482c208c | refs/heads/master | 2022-12-20T16:49:39.051358 | 2018-10-30T05:44:24 | 2018-10-30T05:44:24 | 155,324,040 | 0 | 1 | null | 2022-12-12T15:33:10 | 2018-10-30T04:23:57 | null | UTF-8 | Python | false | false | 442 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2018-10-29 12:36
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0007_product_slug'),
]
operations = [
migrations.AlterField(
... | [
"suryavamsi1563@gmail.com"
] | suryavamsi1563@gmail.com |
0030ce04605d77eac6b6fc2fab48a8631828d449 | b30b6807112e2d96a23de70a96ca786e64e25b4d | /icnn/datasets/voc2010_crop/rename_copy.py | dec7192ca46e27cbff44427e388974006ad45a58 | [
"MIT"
] | permissive | a2un/ICNN-with-VQGA | 968d8a493e7cd6704455862b61c9859ff2101b12 | 99bca2128c0cc14409321e7700b13ea3aae340a3 | refs/heads/main | 2023-04-10T00:09:04.571048 | 2021-04-20T03:47:58 | 2021-04-20T03:47:58 | 348,711,462 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,687 | py | from os import walk, path, rename
from shutil import copy
from string import digits
source = './preprocessed_source'
final_path = './all_crop'
new_fnames = {}
for cur_path,_,files in walk('./'):
for fname in files:
if path.splitext(fname)[1] == '.txt' and path.splitext(fname)[0].split('_')[1] == 'info':
... | [
"ARL122@pitt.edu"
] | ARL122@pitt.edu |
911268cc7033fdb9e4f5dfa358b0e1e352f93e23 | ae39044997354b7270c6f35957bdd5efdcfbd2ee | /21.类.py/carse.py | c25056e3efde01e2d06ef62660cd80b401ed2c88 | [] | no_license | text007/learngit | a2a7d8c872f17103a388f77370dcd07d6eb477c9 | 6f3429ecab51f738a99b2ec6637cd21603f48ec4 | refs/heads/master | 2020-06-18T13:18:34.563100 | 2019-10-08T13:08:09 | 2019-10-08T13:08:09 | 156,345,863 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,057 | py |
'''一个类'''
# 导入另外一个类
from cars import Car
class Battery(): # 定义一个类
def __init__(self, battery_size = 70): # 定义一个方法，传入一个形参，如果没有传入参数值，则默认值
self.battery_size = battery_size # 初始化
def describe_battery(self): # 定义一个方法
print(str(self.battery_size)) # 打印
def get_range(self): # 定义一个方... | [
"jzheng@qumitech.local"
] | jzheng@qumitech.local |
49646c93616da8b568014ae39f3445577e65988c | 6ffde6c22c923e773f791925fa7df6341ccc1402 | /src/Generators/tablegen/oldtable.py | 557a4b55c7d40af2960c7698e5ecce599d806902 | [] | no_license | scadding/MyUniverse | e2163b57aefbdc5f2dd2533cf836db26fc19d95c | d2b196bae19592784bfe4315baf76a6954261391 | refs/heads/master | 2021-01-15T09:20:21.411904 | 2018-07-03T08:05:31 | 2018-07-03T08:05:31 | 35,813,452 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 19,360 | py | #!/usr/bin/env python
import os, sys
from stat import *
import re
import random
import imp
import csv
from optparse import OptionParser
import tableFunctions
from pyparsing import *
rand = random
def walktree(top, callback, load=False):
for f in os.listdir(top):
pathname = os.path.join(top, f)
mo... | [
"doug.scadding@gmail.com"
] | doug.scadding@gmail.com |
bbcb4965da77c91bc7efc7820c8f2740d2446ed7 | 4464410d3c2ac084290ad8c408d29e12a491319f | /config/settings/local.py | d50bba91f0850cd53fd92a48b44819dd48015a54 | [] | no_license | tutybukuny/django-microservice-template | 18ff1bdd1772af0c06d2de9cb24df440478b38f1 | 81ee29a3f8292404daa08af8259231496d369350 | refs/heads/master | 2023-01-27T13:23:56.465221 | 2020-12-09T13:20:39 | 2020-12-09T13:20:39 | 319,953,057 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,068 | py | from .base import *
import os
SECRET_KEY = os.environ.get('DJANGO_SECRET_KEY', '3@6wj-yed8gs+1^cr@$53xiox1=m*!!smls%i-zo2f-ob8r*v6')
ALLOWED_HOSTS = ["*"]
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': os.environ.get('DATABASE_NAME', 'locsharin... | [
"thienthn@ftech.ai"
] | thienthn@ftech.ai |
7e571532ca7089ca97b7a036e4c4046c11d525fa | be4d7664c57d0ad6008862baf0a0c2219635be55 | /db/__init__.py | 1d08640fa420b00c2134b5bf6927b8b0fcea4797 | [] | no_license | ohmy207/geass-server | dc31ef825c10c236a50b2ab9e2857ad4c79480ed | b1c28d75c0b0916446ef1636fdb807329f019991 | refs/heads/master | 2021-05-30T13:02:06.267994 | 2016-01-28T11:44:42 | 2016-01-28T11:44:42 | 49,850,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39 | py | from base import BaseModel, MixinModel
| [
"ohmy207@gmail.com"
] | ohmy207@gmail.com |
079bdae213af556e03917b4de7d3cf57e3bc6bcf | 471ceab86303fea56a36e3737c93b010fd3c54b2 | /rubbery-raccoons/wired/users/views.py | 5b2cada37972790aad67a54d004a49a426ab637e | [
"MIT",
"Python-2.0"
] | permissive | whywhyy/summer-code-jam-2020 | 056b6907ef9918a660c68364d823b5468919ae1a | 9d46c6a9e6ccfae1b9ab5db1b6bf2a6b0abe4c10 | refs/heads/master | 2022-12-02T17:24:49.819994 | 2020-08-14T08:56:59 | 2020-08-14T08:56:59 | 284,628,157 | 2 | 0 | MIT | 2020-08-12T14:02:25 | 2020-08-03T07:04:16 | JavaScript | UTF-8 | Python | false | false | 820 | py | from django.contrib import messages
from django.contrib.auth import logout
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import redirect, render
def register(request):
if request.method == "POST":
form = UserCreationForm(request.POST)
if form.is_valid():
... | [
"umer.f.shaikh@gmail.com"
] | umer.f.shaikh@gmail.com |
25bf611821a6db91cf772a8c47d1940afc9c09ba | bb54fca36822db794a86dc0d617ffe7f58c23c93 | /INS_CCD_plate_setup_2018.v1.py | a635c7e0ab327bc813b74713cb17925ca0ec3d58 | [] | no_license | derektoms/opentrons | c82ee95645b03a9288cc4fa0ea71a02291d3495a | 6635f13034713c2dedc4f629422cb78dfedcbce9 | refs/heads/master | 2021-04-04T08:18:07.765977 | 2018-09-14T23:14:50 | 2018-09-14T23:14:50 | 124,447,150 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 9,249 | py | # 2018-02-06
# import required bits
from opentrons import robot, containers, instruments
from itertools import chain
#robot.head_speed(z=1000)
## container set up
# set tip racks
p10rack = containers.load(
'tiprack-10ul',
'A1',
'p10-rack-01'
)
p1000rack = containers.load(
'tiprack-1000ul',
'B1'... | [
"noreply@github.com"
] | noreply@github.com |
bf04775b2617e61bc1cabbb9c2ce54f06f56ab7d | f4cd2f97b46b4ebacbc45b9c09c3e8cd184e5ce2 | /tests/test_fortiosapi_virsh.py | 62f401c9fe4c296414da4c33f12ff034eccaf046 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | pentekl/fortiosapi | c145ab988fc408c49b057edd249a31aed7769355 | 53ac684a84d8e3ecee1f14d5ef2e570d7d0621da | refs/heads/master | 2021-07-03T12:15:08.376823 | 2017-09-19T12:49:50 | 2017-09-19T12:49:50 | 104,744,479 | 0 | 0 | null | 2017-09-25T12:01:46 | 2017-09-25T12:01:46 | null | UTF-8 | Python | false | false | 6,110 | py | #!/usr/bin/env python
import unittest
# Copyright 2015 Fortinet, Inc.
#
# 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
#... | [
"thomnico@googlemail.com"
] | thomnico@googlemail.com |
ddbcd172764d43f1fee2b2d39dd0c3ea9b0e413f | e816f4e2f7209f4bf05b992a9ddeaa846db13eff | /Bank_subscribtion/DataTransformation_Prediction/DataTransformationPrediction.py | 5bd75a476170eeee71b655605698061baeca77df | [] | no_license | followabhi1/Bank-subscription | 9377212686183859f585a533007b07c0d7d1f6dc | 707ae2fa19302ed021ec27ccf29a915298f86f60 | refs/heads/main | 2023-06-16T20:48:37.799410 | 2021-07-16T06:09:06 | 2021-07-16T06:09:06 | 384,609,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,789 | py | from datetime import datetime
from os import listdir
import pandas
from application_logging.logger import App_Logger
class dataTransformPredict:
"""
This class shall be used for transforming the Good Raw Training Data before loading it in Database!!.
Written By: A... | [
"noreply@github.com"
] | noreply@github.com |
2a16fc8d5f3b349b947c63dcfdc52b54c0b7bb1d | e6fa4cef5eb396fa751bfc7dc1357b7dd2517e7e | /prism/blockchain.py | 4a52991bdf8f81ed4dc90a0296c419d3cece4880 | [] | no_license | lucsof114/EE374_Project | 021d3e0a7927350050a8bc8868f348db010d94b9 | 563beb09a8b07a196cfb2012f401c8f6bfd774f1 | refs/heads/master | 2022-10-21T09:05:20.673205 | 2020-06-12T18:56:11 | 2020-06-12T18:56:11 | 266,463,704 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,681 | py | import numpy as np
from args import load_params
from blocks import *
from scipy.stats import poisson
import copy
import time
np.random.seed(0)
class Prism:
def __init__(self) :
###################### GET PARAMS ############################
self.params = load_params() #Load paramaters
sel... | [
"lsoffer@stanford.edu"
] | lsoffer@stanford.edu |
be057e5c9309412cf15dda2523c1e7c57db48d96 | ea123e130d8b0c0f68589e54f2aeff8745706052 | /main_test.py | 3f0417d997060fbdc09fb7be59b4d8e85998fa9a | [] | no_license | mohaoran93/Thesis_Network | 53f5c0b50cfac825787163d4d6006612d443c1d4 | 03cd95b4df37552df74e8710d4ec2578dcf45052 | refs/heads/master | 2021-08-19T06:20:34.154098 | 2017-11-24T23:14:19 | 2017-11-24T23:14:19 | 110,448,382 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 881 | py | from src.mytools import tools
from src.visualization import Visualization
from src.algorithm1 import algorithm1
tool = tools()
algo1 = algorithm1(size=500)
nodes_cirle = algo1.execute(node=10,k=3,distance_threshold=1000)
print("the size of community is {0} and the circle center is {1}, the finally radius is {2} km"
... | [
"m.haoran@innopolis.ru"
] | m.haoran@innopolis.ru |
736bc3c29e07ddbfaf19a515a9c9752a2c06d670 | 25c78910cf1d8be73a5d7bc01af85fa72c7ed51e | /Basic ProblemSolving/asciiconvert(first letter).py | a86f350b03ea64bd2445732efcba0ffc3b5f9799 | [] | no_license | Rajeevv8/pythonprograms | 225cfe4eaf5d87ed33fea7486d4e3b29c1891c91 | 990c83f9dee277ecddd810dcfa0d483ed15a2fde | refs/heads/main | 2023-08-22T18:14:08.329268 | 2021-10-18T12:38:26 | 2021-10-18T12:38:26 | 417,513,945 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 123 | py | a=input("Enter a string")
b=ord(a[0])
b-=32
c=chr(b)
print(c,end="")
for i in range(1,len(a)):
print(a[i],end="")
| [
"rajeevrakhz@gmail.com"
] | rajeevrakhz@gmail.com |
4ed203fe5bd61e1e611d29326dfa8157d106a3bd | 292726345fae67a78771477e164441a716e0c22b | /setup.py | 90234c02a27b4334d60238f950aa900379015c21 | [] | no_license | anirban89/mypackage | d9bf8c7b0d2cc9dbd4ac4b5493cd650bf390f8a7 | 7b38e6db6c9e60cf2edb2b34ebe649ec3b7f0737 | refs/heads/master | 2021-01-13T02:26:17.878874 | 2014-10-02T00:29:34 | 2014-10-02T00:29:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 132 | py | from setuptools import setup
setup(
name = 'mypackage',
version = 0.1,
packages = ['mypackage'],
install_requires = ['numpy']
)
| [
"anirbancnha@gmail.com"
] | anirbancnha@gmail.com |
ef2f9dc7540b0fca17ddacdc84709c6010d62849 | 42ba821a1fc8576523590fa1ea23991be8ae5819 | /basicsessionauth_project/testapp/migrations/0001_initial.py | 3d92061135b3d474f6525dcccc20705a67c92f94 | [] | no_license | krishna225-k/RestApi | 580235c26e0ce77ed1a90a0a65163f09fe035d79 | 45ca28eb9df64eec823dfc9c84dec8298c7be101 | refs/heads/main | 2022-12-24T02:01:24.427252 | 2020-10-05T14:40:30 | 2020-10-05T14:40:30 | 301,412,940 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 667 | py | # Generated by Django 3.0 on 2020-10-04 11:28
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Employee',
fields=[
('id', mo... | [
"noreply@github.com"
] | noreply@github.com |
d15d67d65624be46de1b72401f49d991cdb8c86e | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-projectman/huaweicloudsdkprojectman/v4/model/batch_delete_iterations_v4_request.py | 49a9950000cd6af7e35e6cdf50daf4cd5933de11 | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 4,126 | py | # coding: utf-8
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class BatchDeleteIterationsV4Request:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key ... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
921bee8828f3b827b27876b6a92cdabb33c9ac9d | 59852c8e37979e0faeecbae7131804b7943678c1 | /all_windows/Modify.py | c1a43002430ca61d214d96ecf9cdde26e561bb1c | [
"MIT"
] | permissive | Hustw/QQ | f34291d88eea52f58e7832bcaeb3ca840f18b59f | 5b76ffcc3dde4d82402d59b3e1fbc4aa3b4f29bd | refs/heads/master | 2023-01-19T17:06:18.126745 | 2020-11-22T08:07:42 | 2020-11-22T08:07:42 | 314,983,646 | 5 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,534 | py | from all_windows.Register import RgstForm
from settingconfig import *
from base64 import b64encode,b64decode
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import json
from image_handle import setlabel_imgstr
class ModifyWindows(RgstForm):
"""
... | [
"1552603816@qq.com"
] | 1552603816@qq.com |
df499c3fc33df8527f735d285e4e5e5aec104970 | 778c2fa067b13fab1e12216456227e5423fae907 | /numpy_exercises.py | 11a3b2d42f92abb829f711d8595d828c4f79a606 | [] | no_license | SLawsonWoods/numpy-pandas-visualization-exercises | 967ab086342ed89cab5957236ca1bf1403909fed | 74b3a574bf439d6d6d6249c75061dbe64a84f3ba | refs/heads/main | 2023-06-26T23:55:50.887885 | 2021-08-02T20:52:31 | 2021-08-02T20:52:31 | 386,360,446 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,306 | py | import numpy as np
a = np.array([4, 10, 12, 23, -2, -1, 0, 0, 0, -6, 3, -7])
## 1. How many negative numbers are there?
# Display the list of numbers in the array that are negative
a[a < 0]
print(a[a<0])
# Get a count of those numbers
len(a[a < 0])
print(len(a[a < 0]))
## 2. How many positive number are there?
# Dis... | [
"Sarah.lawsonwoods@gmail.com"
] | Sarah.lawsonwoods@gmail.com |
859ac352b2ac65ee743f0dc30e8713a203fc8adb | 80c41d8010f0cfd1d8217fd74b64ee72aa055374 | /venv/Scripts/pip3-script.py | efec2b650af7a9f85c635e1f965c30f7c91d4b13 | [] | no_license | divyankvemulapalli/Linear-Regression | e3361253bce2d728520781c9b4ecb3b86037fea0 | 40e1026a5be7c57ca683d88d138581166cf605d0 | refs/heads/master | 2020-05-20T17:30:31.669538 | 2019-05-08T22:43:29 | 2019-05-08T22:43:29 | 185,687,981 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 420 | py | #!C:\Users\divya\PycharmProjects\Linear_Regression\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==9.0.1','console_scripts','pip3'
__requires__ = 'pip==9.0.1'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', s... | [
"divyankvemulapalli@gmail.com"
] | divyankvemulapalli@gmail.com |
f705ee4bc444b70f5af055fe8b3972fe83329f2c | 8a6c18088c50bc782df58e176663114d91ffc47c | /src/teams/migrations/0048_auto_20180814_1950.py | c59f9f8cb4135dcc034d5f69b80569efbd596119 | [
"BSD-3-Clause"
] | permissive | flummer/bornhack-website | 14cc55f34b85740d32567d6a3934e865f2549381 | c40f225f0993a6edd25dc608de1f6467f7d8e5a1 | refs/heads/master | 2020-04-29T13:23:44.167064 | 2019-05-12T15:30:01 | 2019-05-12T15:30:01 | 176,167,685 | 0 | 0 | BSD-3-Clause | 2019-03-17T22:19:27 | 2019-03-17T22:19:27 | null | UTF-8 | Python | false | false | 359 | py | # Generated by Django 2.1 on 2018-08-14 17:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('teams', '0047_taskcomment'),
]
operations = [
migrations.RenameField(
model_name='taskcomment',
old_name='content',
... | [
"valberg@orn.li"
] | valberg@orn.li |
121b4e29b433361308247277ab910318c41bbba7 | bcb504fa2614c871ebec4053bb4f177c27f93770 | /venv/Scripts/pip-script.py | e2a69369e0820bdca150b63f2625f885de36a389 | [] | no_license | clifforeilly/neuralz | 0a123fa8f3b2e7abac47f2fe34f8cb0ffd4399b6 | 01ab9bfe8c46ee2effc1aee45028f8f54dfa5687 | refs/heads/master | 2020-04-07T03:11:00.955823 | 2018-12-01T22:02:21 | 2018-12-01T22:02:21 | 158,005,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | #!C:\Users\cliff\PycharmProjects\neuralz\venv\Scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==10.0.1','console_scripts','pip'
__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.argv[0... | [
"cliff@thargoid.com"
] | cliff@thargoid.com |
6e18ba7e9362dfa8b1b076d04424b14472dc4f6d | 70e850c589c7c45abf6f24f02a1a3f68935a5cd8 | /backups/10_06/nexxis_ws/build/reachmoveit/catkin_generated/pkg.develspace.context.pc.py | 880ab259238e68ef9786cb2d468d5277111b165d | [] | no_license | hjalmarDr/thesis | cb521cef7ff28dbd4836c76885b3e95b797b6573 | 712cb94c825ed1971c927e831e20bb34f61fb8e7 | refs/heads/main | 2023-05-27T00:51:36.547883 | 2021-06-10T09:51:46 | 2021-06-10T09:51:46 | 375,059,439 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "reachmoveit"
PROJECT_SPACE_DIR = "/ho... | [
"dressel.hjalmar@gmail.com"
] | dressel.hjalmar@gmail.com |
37aad6a8d126f7a2f34d49e6e6fd4bddd5f08cb1 | 7f529df5381361874d51c8cb7d8678e088dbe71d | /aea/protocols/default/__init__.py | 52e51b51e36ef3b50d6e1ccddf33b0782f9c9c80 | [
"Apache-2.0"
] | permissive | cyenyxe/agents-aea | 914546708ce3e2e913ce1bb48bc8928289738c9a | c2aec9127028ae13def3f69fbc80d35400de1565 | refs/heads/master | 2021-01-07T05:36:27.879856 | 2020-02-07T19:28:01 | 2020-02-07T19:28:01 | 241,594,907 | 0 | 0 | Apache-2.0 | 2020-03-05T14:53:54 | 2020-02-19T10:35:49 | null | UTF-8 | Python | false | false | 872 | py | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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... | [
"david.minarsch@googlemail.com"
] | david.minarsch@googlemail.com |
b1c69bbbaeca4170b29a1ede6a30bdb7b525ab58 | 70dcb812b075a0644f753cefcbb4ed63db767ed0 | /accounts/urls.py | 9e8eab784f8e0ae287747bda2ca1b389c6509bdb | [] | no_license | seif-elden/Rap-scene | 33210bd2b17717afa9c6c2e0bdd72e999cac1856 | 7bf27f8144cd9819c78402869f8b9844d99e55fd | refs/heads/master | 2023-03-22T15:58:17.041672 | 2021-03-21T12:52:07 | 2021-03-21T12:52:07 | 349,403,746 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 681 | py | from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
app_name = 'accounts'
urlpatterns = [
path('login/',auth_views.LoginView.as_view(template_name='login.html' , redirect_authenticated_user=True ),name='login'),
path('logout/',auth_views.LogoutView.as_view(),na... | [
"sofa6099@gmail.com"
] | sofa6099@gmail.com |
ec94377719b50a2106be9fe11e44d4f86e2f9f87 | b071bedf74a7e9cdde9040947433447e77de98fc | /portfolio/migrations/0005_auto_20210227_0012.py | b3589f32c14eb49c80298b642410c1fc0c7e6005 | [] | no_license | Yomnaali22/Django3_project | 0e9b28024c67c9916d62cd4462861dfd37795425 | 33e6c45417a3277a311df956bbf692a93d9433ca | refs/heads/master | 2023-03-25T01:10:21.708135 | 2021-03-17T16:26:38 | 2021-03-17T16:26:38 | 338,165,041 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | py | # Generated by Django 3.1.4 on 2021-02-26 22:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('portfolio', '0004_login_email'),
]
operations = [
migrations.AlterField(
model_name='login',
name='Email',
... | [
"Yomnaali1718@gmail.com"
] | Yomnaali1718@gmail.com |
bf4567c64b38cbdcb6fa210ed8adcc83fad90aec | 67edbcad292faeb8fb3a58ae533ea8554fa9cf51 | /Project_Alibaba_workload/Alibaba_cluster_predict_Total/prediction_model.py | a9928f7f6bb8faf9e3e1889bea6f62b990761777 | [
"MIT"
] | permissive | sssssch/jupyter-examples | 45a5239084cd23624829bfe0cb2acf625a8accda | cf9e26e22dcfa263bcd26323527911cdbcc2cd61 | refs/heads/master | 2022-11-23T16:29:57.589373 | 2020-07-29T11:38:11 | 2020-07-29T11:38:11 | 282,651,466 | 1 | 0 | MIT | 2020-07-26T13:04:49 | 2020-07-26T13:04:48 | null | UTF-8 | Python | false | false | 4,596 | py | # -*- coding: utf-8 -*-
"""
Prediction_Model.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1ZKh-6nmMuaNlALvWDJQGT8GvUnSJ-nHK
"""
from math import sqrt
import tensorflow as tf
import pandas as pd
from tensorflow.keras import Sequential
from tens... | [
"s18807016698@outlook.com"
] | s18807016698@outlook.com |
d69adaf2795b391816995226d8a59a9e90b0e6b3 | e09e7b5cc5ac2cebb626f4c50f50ab594d970db5 | /Drills/Drill-11/boy.py | 7e54ee0125e8a40b2cc03ef2779d4d1d9ec3c15c | [] | no_license | kimrugi/KRG-2d-game-programming | 477bdd1964263ef636bd926c33529b3f53465e58 | 85502b25adec8cf780677bcbfced840ecf071a59 | refs/heads/master | 2020-03-28T15:43:13.841327 | 2018-11-27T10:19:09 | 2018-11-27T10:19:09 | 148,619,680 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,794 | py | from pico2d import *
from ball import Ball
import game_world
# Boy Event
RIGHT_DOWN, LEFT_DOWN, RIGHT_UP, LEFT_UP, SLEEP_TIMER, SPACE = range(6)
key_event_table = {
(SDL_KEYDOWN, SDLK_RIGHT): RIGHT_DOWN,
(SDL_KEYDOWN, SDLK_LEFT): LEFT_DOWN,
(SDL_KEYUP, SDLK_RIGHT): RIGHT_UP,
(SDL_KEYUP, SDLK_LEFT): L... | [
""
] | |
2942d7c0f2b3c666a752e5a7745dafa478211a58 | f8cacd7c1beb4deccc3e31f366b36a2e33f32db5 | /index.py | 3079a526ce0d93758aa0cec70b6f486d276a27b5 | [] | no_license | mgallagher1890/bacc | 9b418c5c0a82c54945edb2944f10b07d10d15f02 | 1e9312384d3cb798702c2a8be9ee615c24d750b9 | refs/heads/master | 2021-10-20T19:32:58.908005 | 2019-03-01T14:14:57 | 2019-03-01T14:14:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,806 | py | import csv
from heapq import *
import sys
import datetime
import time
#precision coefficient ε*h(x)
epsilon = 75
parse_time = lambda time: datetime.datetime.strptime(time, "%Y-%m-%d-%H:%M:%S")
priorities = {'low':['low','medium','high'], 'medium':['medium','high'], 'high':['high']}
get_options = lambda priority: pri... | [
"mgallagher@conversantmedia.com"
] | mgallagher@conversantmedia.com |
a33d39855656be44f218695a886bf8d9209f9c44 | 1ed76d76d7296ff1f390701949bc768ef19bb61a | /lib/wifiAPI.py | 1f176ba1f720e527ac40a03d5eedf7adeaac7c4e | [] | no_license | knapikm/Smart-flowerpot | 5e2e71714f96aef24cf1d80e1462a6576d19f6b5 | 1226bb453ec4a694b500e0f0a6f3f77735a021a4 | refs/heads/master | 2022-01-12T10:54:12.024542 | 2019-04-30T00:42:37 | 2019-04-30T00:42:37 | 152,134,635 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,398 | py | from utime import sleep
from machine import idle
from mqtt import MQTTClient
from network import WLAN
import json
import measurements
client = None
wlan = None
WIFI_AP = {'name': 'RPiAP-DP', 'pass': 'raspberry-pi.DP18-19'}
#WIFI_AP = {'name': 'INFOTECH', 'pass': 'MU1nFotech28'}
def _prepare_payload_for_publish():
... | [
"knapikmichal94@gmail.com"
] | knapikmichal94@gmail.com |
a4284e713c308c5f123c62a4ca0f71a3f0a07cda | 210fb567de568a5871f230fc5933b3bb621235ca | /rest_framework_jwt/utils.py | 3eda1a46c51b415d0458ef47836252599f3cf049 | [
"MIT"
] | permissive | joshuatonga/notepik | 25a5b1b4ae7bd286a17cacdec234a08d26f8bc4c | 8f251fe9a689a9be8248d4da6260fe7c8742e3c0 | refs/heads/master | 2022-08-13T05:07:23.781341 | 2016-02-29T21:40:15 | 2016-02-29T21:40:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,978 | py | # MODIFIED: kq
import jwt
import warnings
from calendar import timegm
from datetime import datetime
from rest_framework_jwt.compat import get_username, get_username_field
from rest_framework_jwt.settings import api_settings
def jwt_payload_handler(user):
# username_field = get_username_field()
# username = ... | [
"hellojoshuatonga@gmail.com"
] | hellojoshuatonga@gmail.com |
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