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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
bdd19fb17c474f5eeaa628fb70529da272f562b7 | e4bb81b29b21b29443a8138c7a64562b981275e8 | /data/dataloader.py | 5e8054ed2df8dbf103a4775ead7329b51eddd697 | [] | no_license | DaKup/HandPoseShapeVAE | afc8a8fe400e5d030cc821cb371282237cf85530 | 6ca6a173810ad42a99ead355e719606e17d8c832 | refs/heads/master | 2022-12-03T22:47:55.400480 | 2020-08-09T16:54:14 | 2020-08-09T16:54:14 | 284,481,182 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,545 | py | import sys
import os
from pathlib import Path
import numpy as np
import torch
from torch.utils.data import DataLoader
from torch.utils.data import TensorDataset
from data.importers import MSRA15Importer
from data.dataset import MSRA15Dataset, MSRA15ImporterWrapper
from util.handdetector import HandDetector
def cr... | [
"daniel.kup@student.tugraz.at"
] | daniel.kup@student.tugraz.at |
41b62148741f8eeacc4cd75923e3221f352c447a | a164516eedade96dfa6b7ddf9f58c07bc34f0d7d | /portfolio/settings.py | 680bcc918481899585ad347cb93a3ca5c178fc5c | [] | no_license | Kumar-Roopak/portfolio-project | d728632fb926a7085569da91de0311cac4e5fd14 | dee575fe007da49751cff5ec9f5088461323017f | refs/heads/master | 2020-04-02T01:04:41.694807 | 2018-10-19T22:21:03 | 2018-10-19T22:21:03 | 152,787,092 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,513 | py | """
Django settings for portfolio project.
Generated by 'django-admin startproject' using Django 2.0.2.
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
... | [
"kum17003@byui.edu"
] | kum17003@byui.edu |
ae132d5fb1641981f5167a9e88f4f1b5237558fb | 8682252f94375ab0300499ba1e1b412790369519 | /cryptoblotter/trades/utils.py | 9b7554ee31239a4b70934ddf2330d9701890b376 | [
"MIT"
] | permissive | PAV-Laboratory/cryptoblotter | 713e245f8343980b9de3c7290c9a29b4baa768de | f573592a3638fbc6cae24d76305de36b932949c6 | refs/heads/main | 2023-04-21T01:03:24.934536 | 2021-05-04T00:15:57 | 2021-05-04T03:23:43 | 391,418,996 | 1 | 0 | MIT | 2021-07-31T17:14:37 | 2021-07-31T17:14:37 | null | UTF-8 | Python | false | false | 762 | py | from decimal import Decimal
def decimal_to_str(data: dict):
for key, value in data.items():
if isinstance(value, dict):
data[key] = decimal_to_str(value)
elif isinstance(value, list):
for index, v in enumerate(value):
if isinstance(v, dict):
... | [
"globophobe@gmail.com"
] | globophobe@gmail.com |
c48dfebf64c01e9992f83ddc243026953d873e31 | 312fae7e287682d1eba7bf43e65bdfeff2e33e6a | /APIServer/commons/form_api.py | 6ae70295e081e88832049c63d9db7968e25a43df | [
"MIT"
] | permissive | gcallah/socnet | 3ae9582a7d8d3871806c2820efb1b13a2e4f747a | dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61 | refs/heads/master | 2023-02-26T07:02:34.517851 | 2020-07-27T14:21:22 | 2020-07-27T14:21:22 | 208,861,159 | 1 | 1 | MIT | 2023-02-16T08:31:29 | 2019-09-16T17:44:56 | Python | UTF-8 | Python | false | false | 627 | py | from APIServer.commons.api_utils import read_json
def get_alert_form(path):
return read_json(path)
def create_alert_json(alert_tuple):
'''
Create alert_json from an alert tuple
'''
alert_json = {}
alert_json['datetime'] = alert_tuple[1]
alert_json['zipcode'] = alert_tuple[2]
alert_js... | [
"wm1065@nyu.edu"
] | wm1065@nyu.edu |
cb5d8e1a4128394cd188b847c0d6f216a6f30120 | d3ae46a2d5277574ce14539f7adbcb961d05e7ca | /version/bin/wheel | e1d092ecd632e75cdc68f8c00693ebb066f6b5c3 | [] | no_license | muw2/CS1XA3 | b8f65c4a6569fb5db42902812193b4be945964e4 | 934afe2361f868e331d666353d32a129f1056e64 | refs/heads/master | 2020-04-20T03:30:41.073572 | 2019-04-25T04:32:52 | 2019-04-25T04:32:52 | 168,251,805 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 233 | #!/home/muw2/CS1XA3/version/bin/python2
# -*- coding: utf-8 -*-
import re
import sys
from wheel.cli import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"muw2@mcmaster.ca"
] | muw2@mcmaster.ca | |
5a48ce3402299b837458ddeb22dfd7fda978291b | 2102d034f9a53835b33434c5270302f3c047d7b3 | /backend-scv/api/scripts/installtools.py | 2da79645ccf30cb3c00f01fcb3de6d8a61847a38 | [] | no_license | fdemian/scv-react-test | acd9614f52f142066034594a5b48386dbaba2831 | 66550fa75c88e1be5dd70678e13fb3a9acd3179e | refs/heads/master | 2023-08-28T17:32:52.455364 | 2021-10-28T21:53:14 | 2021-10-28T21:53:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,015 | py | import sys
from subprocess import call
script_path = "api/scripts"
def install_packages(requirements_file):
return_code = call([sys.executable, '-m', 'pip', 'install', '-r', requirements_file])
if return_code is not 0:
raise Exception("unable to install one or more packages")
def call_scripts(script... | [
"federicodamiancaminiti@gmail.com"
] | federicodamiancaminiti@gmail.com |
49fd48e6fbab74f7981b53f6c31fe6d3c3620d30 | 0e822323071d972c4a2a8b3c4e778a9144b2b5b4 | /databuilder/models/table_source.py | d0b7156e4977073bb77abd81647e5fcfdba70777 | [
"Apache-2.0"
] | permissive | duyet/amundsendatabuilder | f3bed53c93d19bfda5ae7df1bd456214e442012f | 21a763add3c00c34b4f4c2d9809f59e50fb264c8 | refs/heads/master | 2023-04-09T05:08:07.816951 | 2020-07-01T16:34:56 | 2020-07-01T16:34:56 | 277,763,943 | 0 | 0 | Apache-2.0 | 2023-04-03T23:05:59 | 2020-07-07T08:43:44 | null | UTF-8 | Python | false | false | 3,940 | py | from typing import Any, Dict, List, Union # noqa: F401
from databuilder.models.neo4j_csv_serde import Neo4jCsvSerializable, NODE_KEY, \
NODE_LABEL, RELATION_START_KEY, RELATION_START_LABEL, RELATION_END_KEY, \
RELATION_END_LABEL, RELATION_TYPE, RELATION_REVERSE_TYPE
from databuilder.models.table_metadata imp... | [
"noreply@github.com"
] | duyet.noreply@github.com |
43f5d197c6188ed85aa8adfb2c0b9986d4d53085 | d73d0268aa090cdd08497145fa48619ffb0ef01a | /APIdashboard/models.py | 709e54101f394f2d223f5ca936d8b595712f3594 | [] | no_license | kademanec/apimanager | de94e65b61b79ae53f39ed50823b20db8b484c13 | 84bc2b0e492f7fb0ae722aff1eef2ffa4998d13b | refs/heads/master | 2020-08-07T00:22:48.938687 | 2019-10-07T08:09:20 | 2019-10-07T08:09:20 | 213,217,795 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 332 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
# Create your models here.
class APIs(models.Model):
name = models.CharField(max_length=200)
link = models.CharField(max_length=200)
requesting = models.TextField(null = True)
def __str__(self):
retur... | [
"kademanec@gmail.com"
] | kademanec@gmail.com |
4007333f9e30962bcb94d603eb1809a924de0442 | e3d969e2c9e4b57f4f7d58af5e44a00aa8fb15d3 | /0463 Island Perimeter.py | 86247af9f1d30d1779eefb1f33573fa65d92750a | [
"MIT"
] | permissive | kevin-fang/leetcode | 2744ff01e791db6f60edf946ef71451fae92ef6f | 3958f888b30bb3e29916880ecec49b3870a0bea3 | refs/heads/master | 2022-12-15T07:50:01.056016 | 2020-09-10T03:47:53 | 2020-09-10T03:47:53 | 294,296,037 | 3 | 0 | MIT | 2020-09-10T03:47:39 | 2020-09-10T03:47:38 | null | UTF-8 | Python | false | false | 510 | py | class Solution:
def islandPerimeter(self, grid: List[List[int]]) -> int:
ans = 0
for y in range(len(grid)):
for x in range(len(grid[0])):
if grid[y][x] == 1:
ans += 4
for dy, dx in [[1,0], [0,1], [-1,0], [0,-1]]:
... | [
"mdabedincs@gmail.com"
] | mdabedincs@gmail.com |
21b207fd26fd58a3a0685aa18e3709c83c8aa764 | 598ab0b2211db7c808c14c2b83293c84fb9d546d | /comma_code.py | 4116427975bd0499532d8f03a2c0b6cb2b5d089d | [] | no_license | mojeedkusimo/comma-code | 2d39e6736432213d64ab6145f73a75203349da50 | 7869cb0c0be472bce8c389ded50ca6ce71b70fb5 | refs/heads/master | 2021-09-23T23:36:06.789418 | 2018-09-29T08:47:17 | 2018-09-29T08:47:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,656 | py | print ("This program takes in any food item you input and displays it in an organised manner")
print ("Hello there! Can you please enter your name?")
user = input ()
print ("Welcome!",user)
while True:
def food (items): # a function is defined with "item" as the single parameter
no_of_items = 0 # a ... | [
"noreply@github.com"
] | mojeedkusimo.noreply@github.com |
8358005976800dd1cebd8e9f73b7c7a21511b505 | 4e879e994720100a9354895af2bb9be33b38a42b | /xUdemy_xlwings/S4_MontecarloSimulation_Part_1/S4_32_Simple_MonteCarlo_Simulation_01.py | 7e59f365bbe892740b7a699368b2e2c7ab95f061 | [] | no_license | pepitogrilho/learning_python | 80314ec97091238ed5cc3ed47422d2e6073a3280 | bbdc78a9a0513c13d991701859bcfe7a8e614a49 | refs/heads/master | 2023-04-09T15:07:08.866721 | 2023-04-02T18:45:47 | 2023-04-02T18:45:47 | 230,527,165 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,289 | py | # -*- coding: utf-8 -*-
"""
"""
import xlwings as xw
import numpy as np
import matplotlib.pyplot as plt
app = xw.apps.active
#Open workbook
wb = xw.Book("real_estate.xlsx")
inp = wb.sheets[0]
#Define ranges
inp["D20"].name = "cpi"
inp["D25"].name = "ppf"
inp["D40"].name = "cost"
#inp["G24:G25"].name = "performance"... | [
"pepitogrilho@gmail.com"
] | pepitogrilho@gmail.com |
2033c29c81fe3f673e5a257fd45f89870796a944 | 1a87d286396a2c6f6b6ac7c53495f80690836c7b | /CTCI/CTCI_4_4_buildListOfNodeAtSameDepth_method2.py | 4fe9d49e79cb791b7a53cb0e8efdca5d0ca95c4d | [] | no_license | kickbean/LeetCode | 14d33eea9dd70821114ca6d7e1a32111d4d64bf0 | 92e4de152e2aae297ef0e93c9eea61d7ad718f4e | refs/heads/master | 2016-09-10T14:38:33.692759 | 2014-04-08T00:26:51 | 2014-04-08T00:26:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,598 | py | '''
CTCI 4-4
Given a binary search tree, design an alghrithm to create a linked list of all the nodes at each depth
Algorithm: breath first search and record the level of each node
Created on Nov 28, 2013
@author: Songfan
'''
from queue import Queue
from buildListOfNodeAtSameDepth_4_4 import LinkedList, BST
''' BFS... | [
"songfan.yang@gmail.com"
] | songfan.yang@gmail.com |
35d2a69ebef931e4686710e2468cd9fc63e8d523 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03485/s456539182.py | 60831196a61282637ddaf30b97852a9b0b19c178 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 145 | py | import sys
def input(): return sys.stdin.readline().strip()
def resolve():
a,b=map(int, input().split())
print(-(-(a+b) // 2))
resolve() | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
9d27dc2a1cb0b24902ffe100874c06eea38b133f | 408520088af1a66631bca4f7340256e28f3a4f7e | /pset6/credit/credit.py | ce030d32bb1eea9831e68f24795780949f6174fe | [] | no_license | pidus/cs50 | a00d903ef6a33d710e2109fc61bfe566f65a396d | 55e7e9053a7a4a339ae3d5cd2b2830e1a3e6630c | refs/heads/master | 2023-02-08T19:54:56.569014 | 2020-12-31T17:09:03 | 2020-12-31T17:09:03 | 315,669,764 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 975 | py | from cs50 import get_int
#get card number from user
def get_valid_input():
uin = get_int("Number: ")
while uin < 0 or uin > 9999999999999999:
uin = get_int("Number: ")
return uin
card = str(get_valid_input())
length = len(card)
#Luhn’s Algorithm
luhn = 0
#every other digits starting w/ 2nd to las... | [
"8981437939@pm.me"
] | 8981437939@pm.me |
b5e976203b2ada9312a2989842387bba512a0df5 | 7bb4ad7008304ed53e41c405e23a7374e5183490 | /svr.py | 2994a37b0ffa43f046deb81752fbd8b1a16c580e | [] | no_license | naveen700/Support-Vector-Regression | a514148940c126549a2c67c1ca8e524e20017ffd | bdad0b7b6cae29fdf237c57db844b4860f70bd64 | refs/heads/master | 2020-05-18T05:26:38.793692 | 2019-05-02T07:15:08 | 2019-05-02T07:15:08 | 184,207,261 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,837 | py | # SVR
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('Position_Salaries.csv')
X = dataset.iloc[:, 1:2].values
y = dataset.iloc[:, 2:3].values
# Splitting the dataset into the Training set and Test set
"""from sklearn.cros... | [
"naveen.rana@deeplogictech.com"
] | naveen.rana@deeplogictech.com |
1fef2f313e198ebc6f4223b0473b33d66de7a432 | 4c839dfe650b992b4d4927d8b47c5a1745c6e904 | /app_hello.py | 6c84696806cd3421bab959a173152e0d4449664c | [] | no_license | JThanat/femto-mesos | 98c205aa3d1dbd6f8bba6a2bd0299214da838b06 | e7b989b0fb7ae4ff4a66ec92a4d97e29fcec4918 | refs/heads/master | 2021-05-23T05:29:50.842680 | 2017-11-29T01:06:16 | 2017-11-29T01:06:16 | 95,017,728 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,708 | py | #!/usr/bin/env python
# This main is adapted from APACHE Mesos original test_framework.py
import json
import os
import sys
import mesos.native
from mesos.interface import mesos_pb2
from framework.framework import HelloWorldScheduler
from framework.job import Job
if __name__ == "__main__":
# Read JSON File
j... | [
"thanat.jat@gmail.com"
] | thanat.jat@gmail.com |
94e887a5648716db788c45167f576b57c0e028f2 | d0f11aa36b8c594a09aa06ff15080d508e2f294c | /leecode/1-500/1-100/42-接雨水.py | 691adfc3090fd9501f149077778714d19403a479 | [] | no_license | saycmily/vtk-and-python | 153c1fe9953fce685903f938e174d3719eada0f5 | 5045d7c44a5af5c16df5a3b72c157e9a2928a563 | refs/heads/master | 2023-01-28T14:02:59.970115 | 2021-04-28T09:03:32 | 2021-04-28T09:03:32 | 161,468,316 | 1 | 1 | null | 2023-01-12T05:59:39 | 2018-12-12T10:00:08 | Python | UTF-8 | Python | false | false | 292 | py | def trap(height):
ans = 0
h1 = 0
h2 = 0
for i in range(len(height)):
h1 = max(h1, height[i])
h2 = max(h2, height[-i-1])
ans = ans + h1 + h2 - height[i]
return ans - len(height)*h1
height = [0, 1, 0, 2, 1, 0, 1, 3, 2, 1, 2, 1]
print(trap(height))
| [
"1786386686@qq.com"
] | 1786386686@qq.com |
0904d4495354c4ddfd0df4dc2ce7126c46b98949 | 8ffc004ca05591278cb5f2dea150b74594a2f45d | /baseline/lib/callbacks.py | a8448a9c353b4fca5907ae5798381eb6dd28e0dd | [
"MIT"
] | permissive | Ravirajadrangi/predicting-paraphrases | 5e59e18f7006d2f68a22540aef0318adc2be0e68 | 348c99c943d9169b8d5ced043c1ae6119e390b27 | refs/heads/master | 2021-01-15T19:14:15.592922 | 2017-03-18T05:49:11 | 2017-03-18T05:49:11 | 99,812,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,179 | py | import keras
from models.paraphrase import SiameseParaphrase
class ParaphraseCallback(keras.callbacks.Callback):
"""Run the paraphrase model to test accuracy"""
def __init__(self,train_inputs,train_labels,test_inputs,test_labels):
self.train_left = train_inputs[:,:,:,0]
self.train_right = trai... | [
"maxkferg@gmail.com"
] | maxkferg@gmail.com |
e58374bf9aa04da228a0242c6429794fc458b7bd | 9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97 | /sdBs/AllRun/galex_j03230-2945/sdB_GALEX_J03230-2945_coadd.py | 2027385d6aa7d7738f0c0def398550be993ebdf8 | [] | no_license | tboudreaux/SummerSTScICode | 73b2e5839b10c0bf733808f4316d34be91c5a3bd | 4dd1ffbb09e0a599257d21872f9d62b5420028b0 | refs/heads/master | 2021-01-20T18:07:44.723496 | 2016-08-08T16:49:53 | 2016-08-08T16:49:53 | 65,221,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 453 | py | from gPhoton.gMap import gMap
def main():
gMap(band="NUV", skypos=[50.76725,-29.758464], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_GALEX_J03230-2945/sdB_GALEX_J03230-2945_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCUR... | [
"thomas@boudreauxmail.com"
] | thomas@boudreauxmail.com |
1a32bd9e6b7fb5c4f46187766b732e3db8f7d753 | da302ba0c71722591fb19ceeb24bb1f9d60b128a | /text.py | 4189183f68dd294cc99a022df066d84c903427dc | [
"MIT"
] | permissive | shagabutdinov/sublime-context | f4352b8126645f23a11465cc70ab6dd52588200b | 2a088a4dd9d7d516ed49f4d1bd85696fa6ecc2d4 | refs/heads/master | 2020-04-05T23:29:09.439470 | 2016-10-25T10:47:27 | 2016-10-25T10:47:27 | 24,747,150 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,690 | py | import sublime
import sublime_plugin
from Context.base import Base
class Selection(Base):
def on_query_context(self, *args):
callback = lambda view, sel: view.substr(sel)
return self._check_sel('selection', callback, *args)
class LineB(Base):
def on_query_context(self, *args):
callback = lambda view,... | [
"leonid@shagabutidnov.com"
] | leonid@shagabutidnov.com |
357c3e80a1db4ce379c01c1f50edcb5735a608aa | 26eeab4b8c472a9b65897a30bc7c6779b4c418e8 | /2_Data Wrangling/assignment2.py | b4e6f324ad9c30f1194fcc060c39605ede41309f | [
"MIT"
] | permissive | gaurprabhakar94/Dat210x | 3c187e779c7e77cb51499e23c79fce5f1f5efd38 | 06fe3c2a4354c7eaba3215ecddf9ed9c47cca8e3 | refs/heads/master | 2021-01-01T20:31:52.740756 | 2017-07-31T13:48:02 | 2017-07-31T13:48:02 | 98,882,592 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 332 | py | import pandas as pd
import os
os.chdir('Datasets')
# Loading up the dataset
#
df = pd.read_csv("tutorial.csv", sep=',')
print(df)
print("\n")
# Printing the results of the .describe() method
#
print(df.describe())
print("\n")
# Indexing the dataframe with: [2:4,'col3']
# and then printing the value
print(df.loc[2... | [
"noreply@github.com"
] | gaurprabhakar94.noreply@github.com |
f20e69a54e2028b1df280af140d788ce4bcb2e16 | 6284b810dc0d23b7735bf988bbeaa84f5d5f9f49 | /src/models/train_model.py | ad436da4a89db35c3bb7136a72f815693a4037e4 | [
"BSD-3-Clause"
] | permissive | Lewuathe/TensorFlow-StyleTransfer | 5985fa3b606b6cb8b0d6ce29c6148eb93fcbd4bb | 8ef95003c395c7130492a6af5a982f02aa199fa3 | refs/heads/master | 2020-12-25T18:52:41.651940 | 2017-06-11T13:34:57 | 2017-06-11T13:34:57 | 94,006,269 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,885 | py | #!/usr/bin/env python
""" An implementation of the paper "A Neural Algorithm of Artistic Style"
by Gatys et al. in TensorFlow.
Author: Chip Huyen (huyenn@stanford.edu)
Prepared for the class CS 20SI: "TensorFlow for Deep Learning Research"
For more details, please read the assignment handout:
http://web.stanford.edu/... | [
"lewuathe@me.com"
] | lewuathe@me.com |
04776e04755c2c4f4f926f7ed79f83f4d9408b92 | ff5892487c262ce845a9996a282d3a2fdb1a3b15 | /URI_1277.py | fac88b7da4e486a86591fdb123b779e70dc235a8 | [] | no_license | dankoga/URIOnlineJudge--Python-3.9 | d424a47671f106d665a4e255382fc0ec3059096a | f1c99521caeff59be0843af5f63a74013b63f7f0 | refs/heads/master | 2023-07-15T08:32:11.040426 | 2021-09-03T13:27:17 | 2021-09-03T13:27:17 | 393,991,461 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 509 | py | tests_qty = int(input())
for t in range(tests_qty):
students_qty = input()
students_names = list(input().split())
students_attendance = list(input().split())
students_failed = []
for s, attendance in enumerate(students_attendance):
presences = attendance.count('P')
medicals = attenda... | [
"dankoga2@gmail.com"
] | dankoga2@gmail.com |
610e7c734f888cd0e10fa65dc899e1ba33ad5f76 | 84d97077cf9f297faeb94d88d460c6fd486cc648 | /sub_py/maxwellian.py | 1f8e47b118e0d8a6eb969a25ae5ec43f86b57880 | [] | no_license | jacksontvd/optimization | 0ac12819acb091e6322d36f8eec183df0281dca6 | e33b42fb1ce5dcd456d4db625b52f3097ef3edc2 | refs/heads/master | 2021-05-14T18:10:41.640978 | 2019-08-13T17:46:20 | 2019-08-13T17:46:20 | 98,315,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 366 | py | import numpy as np
from ranges import *
def Maxwellian(e,T):
return np.sqrt(e)*np.exp(-e/T)*(2/np.sqrt(np.pi)/np.sqrt(T)/T)
vMaxwellian = np.vectorize(Maxwellian)
egrid = np.array(mannhart_bins)
degrid = egrid[1:]-egrid[:-1]
def MaxwellianSpectrum(T):
egrid = mannhart_bins
# np.logspace(-3,2,bin_number... | [
"jacksontvd@jacksons-MacBook-Pro.local"
] | jacksontvd@jacksons-MacBook-Pro.local |
417eb43445bf9c1c7d3bf9e002da3c3710411639 | 639c0b542b581463eac228b82707452527a151af | /EmotionalAIchatbot/EmotionAIChatbot/urls.py | 4de444d482ee6905da0c987734fa5b245dd3140f | [] | no_license | latifyahia/EmotionAIChatbotProject | 7ccf5f7399aa3412965ef1883b47d9e39ff972cf | e2b5a1802cab4bf5b6f9cb62bad43d2ab4b56ed8 | refs/heads/master | 2023-04-29T07:21:13.488221 | 2021-05-15T03:34:48 | 2021-05-15T03:34:48 | 319,690,700 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,350 | py | """EmotionAIChatbot URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/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')
Cl... | [
"latifyahia98@gmail.com"
] | latifyahia98@gmail.com |
40c2d795c844c13a65815ddcff61807f4bf6f366 | e70c7a33b037f021460a7ba39941119b997561e5 | /delete.py | 0328d1a0ec5355f99357d8bacd78e1835887d835 | [] | no_license | ishikavyas18/Python_Basic | ad38e5fbeb6b952294e231d7319757b65212f754 | c163a9a9b885d07aae5b665eb3807c02fb514a31 | refs/heads/main | 2023-04-03T10:15:45.993095 | 2021-04-08T06:56:31 | 2021-04-08T06:56:31 | 355,451,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 478 | py | #create an array with 5 element and delete the value at index 2 without built in function
from array import *
arr=array('i',[])
n=int(input("enter length :"))
for i in range(n):
x=int(input("enter next element :"))
arr.append(x)
print("array is :",arr)
arr1=array('i',[])
del_element=int(input("e... | [
"noreply@github.com"
] | ishikavyas18.noreply@github.com |
67ec508d63e4b2973ed2137e74fa0e57033e6343 | 2c74bb301f1ed83b79254944183ac5a18a639fdf | /homeassistant/components/litterrobot/vacuum.py | 55f0a182959c463662df3f53afc4fe8e177d87a6 | [
"Apache-2.0"
] | permissive | Adminiuga/home-assistant | 5bec93007ddac1a268cc359bf7e48530c5f73b38 | dcf68d768e4f628d038f1fdd6e40bad713fbc222 | refs/heads/dev | 2023-02-22T22:03:31.013931 | 2022-11-09T00:27:20 | 2022-11-09T00:27:20 | 123,929,062 | 5 | 4 | Apache-2.0 | 2023-02-22T06:14:31 | 2018-03-05T14:11:09 | Python | UTF-8 | Python | false | false | 4,671 | py | """Support for Litter-Robot "Vacuum"."""
from __future__ import annotations
from datetime import time
from typing import Any
from pylitterbot import LitterRobot
from pylitterbot.enums import LitterBoxStatus
import voluptuous as vol
from homeassistant.components.vacuum import (
DOMAIN as PLATFORM,
STATE_CLEAN... | [
"noreply@github.com"
] | Adminiuga.noreply@github.com |
52beb2eee386d8bea800f040b68e68ef55ac4084 | c258135c1fd1e877d7ac76b7da7b287d79ac4ccf | /lists/migrations/0003_auto_20210217_0938.py | 19a2c6ba61da21944607c0b24338d250c4571c9d | [] | no_license | soo4767/airbnb-clone | 5cccbcb63da2b8ed7e755aa784e5b81a62e35e0a | beded0d68d00625153997766584032453dc330e0 | refs/heads/main | 2023-07-18T11:20:34.824337 | 2021-09-02T08:23:44 | 2021-09-02T08:23:44 | 342,242,760 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 423 | py | # Generated by Django 2.2.5 on 2021-02-17 00:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('lists', '0002_auto_20210217_0933'),
]
operations = [
migrations.AlterField(
model_name='list',
name='rooms',
... | [
"soo4767@naver.com"
] | soo4767@naver.com |
4dceba75990c87e8d1ab82a0f615d6313bafbec9 | 5e4f9cf736b6b3cbc7c3bf300ebf15f19f5514a9 | /openelections/settings_prod.py | 5dbc0db30e500433e9e0866b4d425bd10ba0c5eb | [] | no_license | rawbeans/elections | 1cb2df081ce3a24c68f073e1778051cc431038bf | 1be01c82e77ad4c80420cd05b6c189ee0743ba30 | refs/heads/master | 2016-09-08T00:40:12.086208 | 2014-04-01T00:33:37 | 2014-04-01T00:33:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,292 | py | from settings import *
DEBUG = False
TEMPLATE_DEBUG = DEBUG
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'elections_db',
'USER': 'mysql_user',
'PASSWORD': '398hudb4s{}DSg'
}
}
MEDIA_ROOT = '/home/admin-elections/elections/media'
BALLOT_ROOT = '/home... | [
"root@debian"
] | root@debian |
22d2f2c04e720558e3006f9a711d7f1ec1fdcd0d | 815150729f61f5909f271d78cf4f484952a09667 | /models.py | 606ff69f02cfe0b6d8253d6e4185ca7904213756 | [] | no_license | sanket0024/MapApp | 7c2c092a784fbabd47c26694019402eba2a02f8c | 1a34c004b823930d08754451bd0df5241b41c69d | refs/heads/master | 2021-05-09T05:01:18.949613 | 2018-02-11T04:15:11 | 2018-02-11T04:15:11 | 119,296,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,685 | py | from flask_sqlalchemy import SQLAlchemy
from werkzeug import generate_password_hash, check_password_hash
import geocoder
import urllib2
import json
db = SQLAlchemy()
class User(db.Model):
__tablename__ = 'users'
uid = db.Column(db.Integer, primary_key = True)
firstname = db.Column(db.String(20))
lastname = db.Co... | [
"mathur.s@husky.neu.edu"
] | mathur.s@husky.neu.edu |
05aabec82a097f5660414b1d9190028b0779cf8f | f3b66c071fb97ae17690ad0e8dc17efa8ae01637 | /python-selenium-pytest-allure/test_example.py | 900092c5b56a41554e2355ff5cf34d0636ff7aea | [] | no_license | unickq/test-automation-example | 054d8e4e68ce23abb9ef31403195e390e452db5a | 54071fae28d00176f9adf01f9514b6b7e7fc4587 | refs/heads/master | 2023-03-05T21:57:33.575595 | 2019-07-12T10:50:40 | 2019-07-12T10:50:40 | 193,077,100 | 2 | 1 | null | 2023-03-03T01:30:05 | 2019-06-21T10:10:43 | JavaScript | UTF-8 | Python | false | false | 936 | py | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import pytest
import allure
@pytest.fixture
def chrome(request):
global driver
driver = webdriver.Chrome()
driver.maximize_window()
yield driver
if request.node.rep_call.failed:
allure.attach(driver.get_screen... | [
"nicktestqa@yahoo.com"
] | nicktestqa@yahoo.com |
6946c2d1d8de914fdba20d32e69dd195cb172215 | 3891b3b89d6863c395608af5e5bbd0c8ba6eb02b | /server/src/repository/eventmongorep.py | 51ebd28b3c5e66229a057c1fcace101f59f7d310 | [
"MIT"
] | permissive | rickie95/MTG-coordinator | d031f19de891af37f6d8c95aa87df71b6e244cc3 | fe3403a8a6b24d966b20ffb8261c60aadd0abde0 | refs/heads/master | 2022-02-26T11:17:35.576408 | 2022-02-15T07:29:53 | 2022-02-15T07:29:53 | 230,934,786 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 292 | py | class EventMongoRepository:
database_address = "localhost"
def __init__(self):
self.client = "Opens a connection with mongo"
def add_event(self, event):
pass
def remove_event(self, event):
pass
def update_event(self, event):
pass
| [
"Riccardo Malavolti"
] | Riccardo Malavolti |
f829289503872b6c211b8e36cdaff49797ef8a2d | 4a73aa4a14c207a39648e73f1f07c9f0b7348936 | /pca.py | 470c4338bb0e2c63581d8f462610120f6e583b3d | [] | no_license | nicktimko/penny-project | 6058e9d7496fb916963698a188e92dde21947a4b | 2e0941ef02691b92ea652c7206017fa974f38416 | refs/heads/master | 2021-08-22T17:12:41.442809 | 2017-11-30T19:09:04 | 2017-11-30T19:09:04 | 112,648,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,418 | py | #!/usr/bin/env python
# from http://stackoverflow.com/a/2629704/194586
""" a small class for Principal Component Analysis
Usage:
p = PCA( A, fraction=0.90 )
In:
A: an array of e.g. 1000 observations x 20 variables, 1000 rows x 20 columns
fraction: use principal components that account for e.g.
... | [
"prometheus235@gmail.com"
] | prometheus235@gmail.com |
a0e4c303efc08dfcd95ce2ebc3bdcb5f9c2dc0ff | 31cfeca70ca2208a6a09deaaaf9198d612e826cf | /face lock on laptop/sms.py | 05ff067aee7ef5a8e6c14c0045223d1732862909 | [] | no_license | anchalmehta567/facelock-on-laptop-with-sms-alert | 78255871f06eec85e444c2bbbdb4471e792cd2dd | 00aa6eec1e4bb4448de7181c0afbb181bb6641c7 | refs/heads/main | 2023-02-09T21:33:21.825801 | 2021-01-12T11:05:24 | 2021-01-12T11:05:24 | 328,958,971 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 648 | py | import requests
import json
def sendsms():
url = 'https://www.fast2sms.com/dev/bulk'
params = {
'authorization': 'noyaAWs9wUgpJtGvhK50PN8r1dY3CiEqTkbFMeS7OR2ZjxQ4ufW9FG8NcOCfX35yLS1d0ta4rewVsBIz',
'sender_id': 'FSTSMS',
'message': "Alert! Someone aunthenticated user ... | [
"noreply@github.com"
] | anchalmehta567.noreply@github.com |
ce0ccdaa17279ed85c5b90ef3cec04693655c84c | 1572a5ce5acf8e67de4653308200be98a4cd1ffa | /user/migrations/0002_auto_20210328_1256.py | b58829088b647d1c4b584497f7698b11c22df36c | [] | no_license | shourygupta28/hacko-40-team_titans | 9481c7db1114bb355ab4699709c7153ad19442eb | b72294240cce6819463b4975a1fd167af65b08be | refs/heads/main | 2023-03-29T07:53:47.333891 | 2021-04-01T12:05:21 | 2021-04-01T12:05:21 | 351,955,989 | 3 | 0 | null | 2021-04-01T12:05:21 | 2021-03-27T01:40:02 | HTML | UTF-8 | Python | false | false | 779 | py | # Generated by Django 3.1.7 on 2021-03-28 07:26
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('user', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='user',
na... | [
"ngupta_be19@thapar.edu"
] | ngupta_be19@thapar.edu |
c97fff87f7c26440db1bdb2a815a2eaa3c4b974e | eb76de661f71ea8ac7fe32d3eec5c936b9ec6393 | /day5.py | 5924c7952a7cb3dff46222a7907f43bf994da74d | [] | no_license | zzwerling/Advent-Of-Code-Zach-2018 | 6f3c7ad5c851410c5302ce55de54c8176881f5b5 | fc14ead4fa1a696b902ff0b5e2f750135e6553c7 | refs/heads/master | 2020-04-10T00:55:21.966785 | 2018-12-24T02:09:24 | 2018-12-24T02:09:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,084 | py | from collections import defaultdict
import time
def day5part1():
with open("day5demoinput.txt","r") as day5input:
s = list(day5input.read())
running = True
while running:
indices_to_remove = []
for i in range(0, len(s)-1):
if reaction(s, i, i+1):
... | [
"noreply@github.com"
] | zzwerling.noreply@github.com |
94222f8915f338f516fd10108308b2f667e5785f | 0b8c83d28294bbf708585b44065776ad13895abd | /leadmanger/djangogram/djangogram/users/urls.py | 8e888f93481a372e530f39dcba7d2a3ee1e87923 | [
"MIT"
] | permissive | chaSJ2112/web_Django | 2a1613f531d7d3e8e34db7e486f63ebb3ae4c5e7 | e9fa7ad7e5a952eaa601aa420f0d8a31d774c7b8 | refs/heads/main | 2023-06-25T04:13:06.032679 | 2021-07-27T14:17:36 | 2021-07-27T14:17:36 | 386,592,108 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 209 | py | from django.urls import path
from . import views
app_name = "users"
# views에서 main함수 호출
urlpatterns = [
path('', views.main, name='main'),
path('signup/', views.signup, name='signup'),
]
| [
"71691834+chaSJ2112@users.noreply.github.com"
] | 71691834+chaSJ2112@users.noreply.github.com |
4d2f22cd2a93f8461925aed411d0c93d30f4f95b | ae6c4d72ba0b46fb525f749adb076b009b0842f1 | /venv/Scripts/django-admin.py | e9fe348a13e2142eca5e7e5e4a3b1f7b8b945f5f | [] | no_license | daria-darina/education1 | 35fb8b1dccf8bf61d19df0923b1dd2343ccba44c | 093f864e049e2490276dd47654fac1011d8333c8 | refs/heads/master | 2022-08-13T19:19:11.735704 | 2020-05-16T09:04:12 | 2020-05-16T09:04:12 | 263,017,980 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 155 | py | #!c:\users\tom\education\venv\scripts\python.exe
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
"dasha.luckina2015@yandex.ru"
] | dasha.luckina2015@yandex.ru |
f9a56a6585ea5dd3a31979189766a5a2c642fccd | b6e0acd984d0b739ebf7b2f6a5b9fc39cd66b1ee | /escola/migrations/0012_auto_20210630_2028.py | 8793774f81a59a078020756431253394f17ca11d | [] | no_license | isabellebussmann/test_ies2 | 215d14b7ba75c2a67d783f88de8cb56ef6060f4a | aeb61addd07f43eb82f88e87bd809aaa9cc0907f | refs/heads/master | 2023-06-15T09:24:00.201655 | 2021-07-10T01:46:58 | 2021-07-10T01:46:58 | 383,865,980 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 824 | py | # Generated by Django 3.2.4 on 2021-06-30 23:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('escola', '0011_auto_20210630_1707'),
]
operations = [
migrations.RemoveField(
model_name='pergu... | [
"isabellebussmann@hotmail.com"
] | isabellebussmann@hotmail.com |
b36c954f93245e8ae824e025a25379ee7b666823 | 9ca20119e9347576431fc587d0e4c742ea4d45af | /app/auth.py | 5dbc836e1d6c6141b7b5362bc810e77e929be2c1 | [] | no_license | YimingDou/ShopifyBackendChallenge | 43fcad4fd2a6dfc954245dd8b0ba5f924ef4b303 | 86e9f154e0ec70a11b354ac5b409299eb2255281 | refs/heads/master | 2022-12-09T23:23:03.647974 | 2020-09-11T00:13:06 | 2020-09-11T00:13:06 | 294,547,787 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,914 | py | from flask import Blueprint, request
from flask_jwt_extended import create_access_token
from functools import wraps
from sqlalchemy.exc import IntegrityError
from responses import error_response, token_response, success_response
from model.user import User
from model.common import db
MISSING_JSON = "Missing JSON"
MIS... | [
"y5dou@uwaterloo.ca"
] | y5dou@uwaterloo.ca |
d8ae8d8746b20a062a25abfe7a48d4c53b3410fd | f6376348b154ca1d43eafb271f7cf463d8a83d86 | /utils/gsn_argparse.py | ce5326094025b3bd2a391276170027767273074e | [
"MIT"
] | permissive | SongFGH/graph_star | 62cc9d7580680c20ce96d7507ce02863987c46bb | 4c16b8ab0048669bc1c15d45af393dde896e4334 | refs/heads/master | 2020-06-22T08:34:49.985748 | 2019-07-15T02:52:59 | 2019-07-15T02:52:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,696 | py | import torch.nn.functional as F
import argparse
from texttable import Texttable
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Unsupported value enco... | [
"noone@noone.com"
] | noone@noone.com |
6c55f2b2b69d2351eae808a8e6a9a30f83003379 | 8352d1f51d3dc3b248bf51894a92d2ebea28141c | /venv/Lib/site-packages/pylablib/core/dataproc/__init__.py | cdc5e96eaa2025754720e9884887fc06e603068c | [] | no_license | jakfarshodiq230/python-LSA_TF-IDF | 04dd8f0982cca8c53dc7d6a06cff8bf511830f36 | 5fa4a748249dff60ac70d8b98eca92c786fc9d42 | refs/heads/master | 2022-12-25T19:10:35.636133 | 2020-09-29T17:24:43 | 2020-09-29T17:24:43 | 299,683,621 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,399 | py | from . import waveforms
from .waveforms import is_ascending, is_descending, is_ordered, is_linear
from .waveforms import get_x_column, get_y_column
from .waveforms import find_closest_arg, find_closest_value, get_range_indices, cut_to_range, cut_out_regions
from .waveforms import find_discrete_step, unwrap_mod_data
fro... | [
"jakfarshodiq230@gmail.com"
] | jakfarshodiq230@gmail.com |
3c0299ef461117c90a7b387d733390990e96c5a2 | c4ea117eff2469d622f3d7986d23dca79fdd9d2f | /setConfigSN.py | 466123d905f427386da1cb1990ac7ee1a7f7d8fd | [] | no_license | SimengBian/Mobihoc18 | 2a850646d42e9731fbb7a69c42a19830cc444f7d | 28c3d5234bb8baa411b266b56a9887c2b2224562 | refs/heads/master | 2021-08-31T06:24:49.447762 | 2017-12-20T14:42:01 | 2017-12-20T14:42:01 | 110,240,501 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 553 | py | import numpy as np
filename = "config1/"
'''
Substrate Network (SN)
'''
numOfServer = 6 # number of servers
serverCapacities = np.zeros(numOfServer)
for c in range(numOfServer):
serverCapacities[c] = 16
idleEnergies = np.zeros(numOfServer)
for c in range(numOfServer):
idleEnergies[c] = 0.805
maxEnergies = ... | [
"biansimeng@biansimengdeMacBook-Air.local"
] | biansimeng@biansimengdeMacBook-Air.local |
bcd67aa5afe669f6003298838868899baedc2815 | 6d17d2b811376f176a998c30009a6ed4c41c82c1 | /common/pub/excelconfig.py | 4250fd740aa3872d920a3dcf343ef88a79d8ccf4 | [
"Apache-2.0"
] | permissive | no-wings/AutoUitest | 39e9c89fa529362eb076482218910bb4ab298393 | b3ff7db29f165bd40b89a1e33463efdaf801b334 | refs/heads/master | 2022-12-12T22:16:31.134368 | 2020-09-07T03:43:12 | 2020-09-07T03:59:32 | 293,417,053 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 813 | py | # coding=utf-8
import xlwt
# 导出数据到excel
def export(fields, results, table_name, outputpath):
'''
:param fields:数据库取出的字段值
:param results: 列表元组或者元组元组
:param table_name:
:param outputpath:
:return:
'''
# 搜取所有结果
# 获取MYSQL里面的数据字段名称
workbook = xlwt.Workbook()
sheet = workbook.ad... | [
"45419770+xiongwr@users.noreply.github.com"
] | 45419770+xiongwr@users.noreply.github.com |
046f7722f8d047a95d007f78b54691d31345e08e | cc1f1ee71ddc572e33512a44af41108bf1e3173b | /semeval23/clickbait-spoiling-eval.py | e58a9b1693f0f343e56ce78d849437b6b5b61b0e | [
"MIT"
] | permissive | pan-webis-de/pan-code | 774252979edf2e6b757ec04332e8c572d57e91d7 | 8dd0d44a098620ead0d1b07999f122f3f31c83a7 | refs/heads/master | 2023-05-29T09:12:43.081488 | 2023-05-28T08:03:17 | 2023-05-28T08:03:17 | 240,560,328 | 34 | 34 | MIT | 2023-03-30T08:45:06 | 2020-02-14T17:11:37 | Jupyter Notebook | UTF-8 | Python | false | false | 12,636 | py | #!/usr/bin/env python3
import argparse
from os.path import exists
from glob import glob
from os.path import isdir
from sklearn.metrics import balanced_accuracy_score, precision_score, recall_score, f1_score
import json
from nltk.translate.bleu_score import sentence_bleu
from nltk.tokenize import word_tokenize
from nlt... | [
"maik.froebe@informatik.uni-halle.de"
] | maik.froebe@informatik.uni-halle.de |
4923d7378b7b003f9b938d0cb2b4221e31da211e | bbc6498bfe3bd62b7c99e2eadd79be4d154ddc11 | /functional_tests.py | 61199afae4185173410f8558e79a16457d33042e | [] | no_license | jawahar/tdd_superlists | 993d0900782ea907911e95ffb383591d9e71c93f | 99570339844430c33e9e5cf3d9e095ded0c9394e | refs/heads/master | 2021-01-13T02:24:26.109972 | 2013-07-05T19:52:15 | 2013-07-05T19:52:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,400 | py | import unittest
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class NewVisitorTest(unittest.TestCase):
def setUp(self):
self.browser = webdriver.Firefox()
def tearDown(self):
self.browser.quit()
def test_can_start_a_list_and_retrieve_it_later(self):
... | [
"jawahar.malhotra@gmail.com"
] | jawahar.malhotra@gmail.com |
89d50378869ed6dde8fc8a1ec6f17758ef6117c1 | 33a7d059f6b3decfe762861c823bc4b5b0680633 | /UAS1.py | fdf4c8bc6a9bb3142282c82cd04238bda41bab7b | [] | no_license | Diyah9/uass | 01ef176ee70ff523dd39388866222567f997be25 | 1ac124325870cac22e5d4f98f32d5c1c5f94c6b5 | refs/heads/master | 2020-03-11T08:46:49.326714 | 2018-04-17T11:14:00 | 2018-04-17T11:14:00 | 129,892,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 210 | py | def fb():
print("Modul Nilai Random")
import random
nilai = input("Masukan nilai n: ")
for i in range (nilai) :
while 1:
a = random.random()
if a < 0.5:
break
print (a)
| [
"diyahnur0809@gmail.com"
] | diyahnur0809@gmail.com |
a9beba1a67b641f22baf82bb07689f9350c7b49f | 79d5395cf97828672680d985603106d60834b3f6 | /HW3/RBTree.py | 6f38869c5cf3835c4255a6a988d63b9d5ed70f96 | [] | no_license | sunwmax/Data-Structures | 86449175c86134658f62533cfbc067eeeaeeb4b4 | 1f23ce2b44b78ad8122275db38274d41bd35b6be | refs/heads/main | 2023-01-31T01:31:19.020602 | 2020-12-15T03:12:19 | 2020-12-15T03:12:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,887 | py | """
A classic (not left-leaning) Red-Black Tree implementation, supporting addition and deletion.
"""
# The possible Node colors
BLACK = 'BLACK'
RED = 'RED'
NIL = 'NIL'
class Node:
def __init__(self, value, color, parent, left=None, right=None):
self.value = value
self.color = color
... | [
"noreply@github.com"
] | sunwmax.noreply@github.com |
aee8bf0ea8399d18b36b4f33a71ddacbb7b77f8a | 4ebb5e56f3276504462c83274171ff1d9a5373d4 | /tasks.py | 7a2ff8fa3d9ff4681ca6186e190553d99938d3fb | [] | no_license | ig-novik/diploma_project | 256de85938ffdd1bd541f3bd48c17eaa358f4f86 | dd05e024a21df2d07eab942093930f629253f61a | refs/heads/master | 2023-05-11T07:26:00.078473 | 2020-04-21T09:46:13 | 2020-04-21T09:46:13 | 247,621,035 | 0 | 0 | null | 2023-05-01T21:22:32 | 2020-03-16T05:47:34 | Python | UTF-8 | Python | false | false | 784 | py | from celery import Celery
from celery.schedules import crontab
from webapp import create_app
from webapp.news.parsers import avito
flask_app = create_app()
celery_app = Celery('tasks', broker='redis://localhost:6379/0')
celery_app.conf.update(flask_app.config)
@celery_app.task
def avito_snippets():
print("Вход ... | [
"ig_novik@mail.ru"
] | ig_novik@mail.ru |
1dd23f472b7de887c901515844d6b2999272e6bf | 3fd00274d9e4e01dcefff0206feda739555392f5 | /pygame/qgame/viz/unitary_grid.py | cd4711103706ac4ffed8765ef5ba8bffbc96f9bc | [] | no_license | quantumjim/Qiskit-for-GameDev | 981500ff65237c00214a89b81fda091a8ec84146 | 495dabde2c2925333b859a14e99cb1fc0fe2c6a1 | refs/heads/master | 2021-04-16T17:06:47.084395 | 2020-03-23T08:17:02 | 2020-03-23T08:17:02 | 249,372,148 | 2 | 0 | null | 2020-03-23T08:15:27 | 2020-03-23T08:15:26 | null | UTF-8 | Python | false | false | 2,509 | py | #!/usr/bin/env python
#
# Copyright 2019 the original author or authors.
#
# 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 require... | [
"h.jun.ye@gmail.com"
] | h.jun.ye@gmail.com |
26719905a2d5c638006f568dfbcaef22e95094e7 | f292e3dea8be9145b94f6d874ecca51c959fb0e7 | /ATCrack/preprocess/label2voc.py | ed794ec8ec4a5bf4e5f919c5a4415806444a1dd8 | [] | no_license | xukefei01/crack-detection | d0bdd9f35cc7cc93cadcc4a67c18e280d4f6fcc5 | 28fb5ae2e4b2aa5d210ddd25ef9c7d10251454f5 | refs/heads/main | 2023-03-31T05:45:01.315343 | 2021-03-31T02:43:16 | 2021-03-31T02:43:16 | 353,202,673 | 5 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,606 | py | #!/usr/bin/env python
from __future__ import print_function
import argparse
import glob
import json
import os
import os.path as osp
import sys
import matplotlib.pyplot as plt
import numpy as np
import PIL.Image
import argparse
import base64
import json
import os
import labelme
from labelme import utils
import cv2 as... | [
"noreply@github.com"
] | xukefei01.noreply@github.com |
7484bacf4f4a3645406680fa8f7058b99cc91c34 | c9500ad778b8521aaa85cb7fe3239989efaa4799 | /plugins/trendmicro_deepsecurity/icon_trendmicro_deepsecurity/actions/search_computers/action.py | 9b7c4476a3b6b40428738fb69a0845ee0eff2240 | [
"MIT"
] | permissive | rapid7/insightconnect-plugins | 5a6465e720f114d71b1a82fe14e42e94db104a0b | 718d15ca36c57231bb89df0aebc53d0210db400c | refs/heads/master | 2023-09-01T09:21:27.143980 | 2023-08-31T10:25:36 | 2023-08-31T10:25:36 | 190,435,635 | 61 | 60 | MIT | 2023-09-14T08:47:37 | 2019-06-05T17:05:12 | Python | UTF-8 | Python | false | false | 3,708 | py | import komand
from .schema import SearchComputersInput, SearchComputersOutput, Input, Output, Component
# Custom imports below
import json
import requests
from komand.exceptions import PluginException
from icon_trendmicro_deepsecurity.util.shared import tryJSON
from icon_trendmicro_deepsecurity.util.shared import che... | [
"noreply@github.com"
] | rapid7.noreply@github.com |
10295dd3df62eb9decab66cd53c16ebcf00d962b | 39ffb606a790b3f1c1afb0e9a82051bd4c6a5e87 | /src/blog/migrations/0003_auto_20190907_0343.py | 8509645a8b7bf05e84f41f802f1192706fbb5f06 | [
"MIT"
] | permissive | km427/django_blog | 2ec79b6d82566fe7cf4c496917d36bc83296268c | fca83dbc312747493cc660c6fc74553cc7a91c42 | refs/heads/master | 2020-08-28T00:01:24.974086 | 2019-09-07T01:47:32 | 2019-09-07T01:47:32 | 217,527,579 | 1 | 0 | MIT | 2019-10-25T12:21:13 | 2019-10-25T12:21:13 | null | UTF-8 | Python | false | false | 442 | py | # Generated by Django 2.2.5 on 2019-09-06 22:13
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_auto_20190907_0050'),
]
operations = [
migrations.AlterField(
model_name='blog',
name='... | [
"roony0782045336@gmail.com"
] | roony0782045336@gmail.com |
e1bbe2aa9d7c65d5b20d4909fb5bf6b1365c4942 | dde9ab902d560bb391bdfac0fb2e03b3d797910d | /assignment1/autodiff_test.py | 63c6bd9789976efc740b7b847701a0d5112bb7fd | [] | no_license | OlivierShi/deeplearning-sys | fa92f6ecf166bbd1a78286d01987ddbbb41fa48c | 737ae1da4bd15849dee17b6884cff51596324c80 | refs/heads/master | 2021-06-17T20:17:24.172506 | 2017-06-12T10:00:04 | 2017-06-12T10:00:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,128 | py | import autodiff as ad
import numpy as np
def test_identity():
x2 = ad.Variable(name="x2")
y = x2
grad_x2, = ad.gradients(y, [x2])
executor = ad.Executor([y, grad_x2])
x2_val = 2 * np.ones(3)
y_val, grad_x2_val = executor.run(feed_dict={x2: x2_val})
# print y_val
# print grad_x2_val
... | [
"jiangnan.hugo@gmail.com"
] | jiangnan.hugo@gmail.com |
e92d7ccdd2592f2089e2986159273b7d690ed742 | 35f9def6e6d327d3a4a4f2959024eab96f199f09 | /developer/lab/ipython/PyTorch/PyTorch/test/test_profiler.py | 382d05d438515d89c3caa8661d4e771c15a66cd1 | [
"CAL-1.0-Combined-Work-Exception",
"CAL-1.0",
"MIT",
"CC-BY-SA-4.0",
"LicenseRef-scancode-free-unknown",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | arXiv-research/DevLab-III-1 | ec10aef27e1ca75f206fea11014da8784752e454 | c50cd2b9154c83c3db5e4a11b9e8874f7fb8afa2 | refs/heads/main | 2023-04-16T19:24:58.758519 | 2021-04-28T20:21:23 | 2021-04-28T20:21:23 | 362,599,929 | 2 | 0 | MIT | 2021-04-28T20:36:11 | 2021-04-28T20:36:11 | null | UTF-8 | Python | false | false | 18,771 | py | import collections
import gc
import io
import os
import unittest
import torch
import torch.nn as nn
import torch.optim
import torch.utils.data
from torch.testing._internal.common_cuda import TEST_MULTIGPU
from torch.testing._internal.common_utils import (
TestCase, run_tests, TEST_WITH_ASAN, TEST_WITH_ROCM, IS_WIN... | [
"noreply@github.com"
] | arXiv-research.noreply@github.com |
e7fe8efe710d89ee0fcde959a292ad13e60da77c | 2ab59f275433a19fe415d5dbb2ff58ca515deed5 | /tianwei/week4/SearchBigThree.py | 81fcb3c2baf507c05a71bf9daa23bf74fabf9c27 | [] | no_license | Shen-xinliang/python-14 | 4b4555339b4942a350385f6190f79dbac1bb9917 | 1a3eed2b9996c7d1f7f8bb8dbd29698611966326 | refs/heads/master | 2020-03-27T08:21:59.993230 | 2018-08-27T04:22:00 | 2018-08-27T04:22:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 352 | py | #随机生成20个数字，并且筛选出其中最大的三个数
import random
lst=[random.randrange(0,101) for x in range(20)]
print(lst)
for i in range(3):
max=i
for j in range(i+1,20):
if lst[max]<lst[j]:
max=j
print(lst[max])
if max!=i:
temp=lst[i]
lst[i]=lst[max]
lst[max]=temp
| [
"398310343@qq.com"
] | 398310343@qq.com |
65862d59d03041b9ba6eb8ed1295487976bcb946 | 45a2547fe8d29d6b9b7dd4a7bc3b1955ec855aa9 | /msrvtt_ft_model.py | 9e222677921f23b9853d1388585406a63fa7034a | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | bitwangdan/video_to_sequence | a7013e170363a7461bdc1eadc150a72c4ef3b789 | 111405570595671441478945521f86f1fd65585a | refs/heads/master | 2021-03-24T13:50:06.370019 | 2016-09-30T06:15:28 | 2016-09-30T06:15:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,782 | py | #-*- coding: utf-8 -*-
import tensorflow as tf
import pandas as pd
from pandas import Series, DataFrame
import numpy as np
import os
import ipdb
import sys
import cv2
from tensorflow.python.ops import rnn_cell
from keras.preprocessing import sequence
class Video_Caption_Generator():
def __init__(self, dim_image,... | [
"meteora9479@gmail.com"
] | meteora9479@gmail.com |
d856e9e655cf975ef84512950ea959cc73976f44 | b3cd00de3608e5225758bb99b28d58320ce81a47 | /Python_100/python file operations/open_a_file.py | c6e0d450b9d4bd1d1a30dc16be266e44bc42f357 | [] | no_license | buyi823/learn_python | fc4ec7e35ec421842975956933cfb56371786d7a | b411d5277dba1764d421a267f0ba36da40d8c6e9 | refs/heads/master | 2022-05-13T01:05:35.961946 | 2022-05-09T15:20:52 | 2022-05-09T15:20:52 | 71,314,016 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 158 | py | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
# open file and read it
with open('data.txt', 'r') as f:
data = f.read()
print('context:{}'.format(data)) | [
"blaine.xu@kaiostech.com"
] | blaine.xu@kaiostech.com |
2e1f89e0981a30cfb888082fe619819cb0c7690e | 50008b3b7fb7e14f793e92f5b27bf302112a3cb4 | /recipes/Python/392153_Pascals_triangle/recipe-392153.py | 75071b1cd1a2c7de3ec6683b1428779c7f0d1362 | [
"Python-2.0",
"MIT"
] | permissive | betty29/code-1 | db56807e19ac9cfe711b41d475a322c168cfdca6 | d097ca0ad6a6aee2180d32dce6a3322621f655fd | refs/heads/master | 2023-03-14T08:15:47.492844 | 2021-02-24T15:39:59 | 2021-02-24T15:39:59 | 341,878,663 | 0 | 0 | MIT | 2021-02-24T15:40:00 | 2021-02-24T11:31:15 | Python | UTF-8 | Python | false | false | 344 | py | def pascal(n):
"""Prints n first lines of Pascal`s triangle
author: DR#m <dnpsite.narod.ru>
last rev 20.03.05"""
l=[1]
p=[]
for i in xrange(n):
l2=[1]
for j in xrange(len(l)-1):
l2.append(l[j]+l[j+1])
l2.append(1)
print l
l=l2
if __name__=="__... | [
"betty@qburst.com"
] | betty@qburst.com |
8f4185f995147d4bd43fdf84d659e51af8edd22a | b213fbd2f4f628aa0f2387c846673ac68e18aa91 | /BFS/761.py | af0547988d630e396f34dc4b8662f12d9bcc10d5 | [
"MIT"
] | permissive | wilbertgeng/LintCode_exercise | 94309b4451e34f1931fce6c2ae90d0c2e7c41d35 | e7a343b746e98ca3b4bc7b36655af7291f3150db | refs/heads/main | 2023-05-13T06:06:50.887791 | 2021-05-26T20:33:51 | 2021-05-26T20:33:51 | 347,850,106 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 561 | py | """761. Smallest Subset
"""
class Solution:
"""
@param arr: an array of non-negative integers
@return: minimum number of elements
"""
def minElements(self, arr):
# write your code here
total = sum(arr)
arr.sort(reverse = True)
queue = [0]
for i in range(len... | [
"wilbertgeng@gmail.com"
] | wilbertgeng@gmail.com |
318d856d6fb461f8ec7c6729cd4ffa4ce9c19d8e | 78c222e75ed8f307a5fd68f9e97d2a558ccd079f | /hw1/HW1codes/src/hw1.4.py | 2921c7959fa6b671d9b21d201d7eb87bd96538ab | [] | no_license | YangYue3417/CSE252A-2019 | 4ec4b99e072c04618f69c87c14d804e7d2b70ef9 | bca3fc25ac0ab1e16ba21536b6922f15ab049d6c | refs/heads/master | 2020-11-24T02:51:01.120821 | 2019-12-14T07:53:20 | 2019-12-14T07:53:20 | 227,932,987 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,128 | py | import matplotlib.pyplot as plt
import copy
import copy
import matplotlib.pyplot as plt
img = plt.imread('Lenna.png') # read a JPEG image
print("Image shape", img.shape) # print image size and color depth
plt.imshow(img) # displaying the original image
plt.show()
def iterative(img):
image = copy.deepcopy(img) # ... | [
"y5yue@ucsd.edu"
] | y5yue@ucsd.edu |
f2b24d12d4bb5e949dd478f8a5861f7ce8f92813 | 218774ca6ba8aa78c314ea2bf94b8b05322bdb18 | /src/shadow/services/proxy.py | 71f7861eac348908c0b648a873f4c56068234b32 | [
"MIT"
] | permissive | beaugunderson/shadow | 7f48cfb420979d2793c1e9d1c79bfd00346833d2 | 41348c585c15bdbbe8c9fbe6cfa7da4efa9ae680 | refs/heads/master | 2023-03-26T11:55:05.162420 | 2012-12-10T00:28:07 | 2012-12-10T00:28:07 | 7,085,460 | 0 | 0 | MIT | 2020-07-30T03:34:24 | 2012-12-10T00:30:41 | Python | UTF-8 | Python | false | false | 2,335 | py | import logging
from ginkgo import Service, settings
from ginkgo.async.gevent import WSGIServer
from ..common import logfile
from ..proxy import web
logger = logging.getLogger('shadow.proxy')
class ProxyService(Service):
address = settings.get('proxy', {}).get('address', 'localhost')
port = settings.get('pr... | [
"kelvin@twilio.com"
] | kelvin@twilio.com |
4905df3322bc10343141dbcf1f7607e32757cd43 | 0ef9397a368627cac46cfe6c3a74cfc60874e5d1 | /venv/bin/pip3 | ca3ae7fb21da0a5f1002ae35216d900329051e22 | [] | no_license | tommcm1200/streamripper-scheduler | 010b3a115bbb6b92884650b4d6a2c61768610edd | 1de77c62576bd407ec4e667e26c0010f9bf7646d | refs/heads/master | 2022-12-26T05:36:56.577178 | 2020-10-03T03:59:10 | 2020-10-03T03:59:10 | 279,266,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 419 | #!/Users/tommcm/PycharmProjects/Streamripper-Scheduler/venv/bin/python
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3'
__requires__ = 'pip==19.0.3'
import re
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys... | [
"tommcm@amazon.com"
] | tommcm@amazon.com | |
4cf66e70d8fe2f811ca777847fc520a5ca1ab39b | 57de679247d140304d0f29c05e561ee9086dccc1 | /app.py | f1dab874362f0dd977a49b8e2f9fe6a863abd4ef | [] | no_license | jtang3yo/Mission-to-Mars | bc6d33de5afc46aa31c65b07e8c71da396804aee | 543b957de0592be455c67427133bd87f8f2ce777 | refs/heads/main | 2023-06-03T16:27:34.092908 | 2021-06-23T23:08:15 | 2021-06-23T23:08:15 | 376,338,807 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 605 | py | from flask import Flask, render_template, redirect, url_for
from flask_pymongo import PyMongo
import scraping
app = Flask(__name__)
# Use flask_pymongo to set up mongo connection
app.config["MONGO_URI"] = "mongodb://localhost:27017/mars_app"
mongo = PyMongo(app)
@app.route("/")
def index():
mars = mongo.db.mars.fi... | [
"jtangesq@Jings-MacBook-Pro.local"
] | jtangesq@Jings-MacBook-Pro.local |
cf85f36c5f23f7098a48990e1ac77800fd9e55e2 | 2b575de79f3351959402debff1ce755513ecdfd8 | /reinforcement_learning/week_2_value_iteration/mdp.py | ba161aa55d3b8f448ac4fbdedc27a0ef469a8a34 | [] | no_license | Pharce/DL | c7ecd3135e65123b4872439ae794f374d70484d9 | 96e2de280bb5f080483dbcb82332e3b89fcfb36a | refs/heads/master | 2020-04-02T15:57:13.047045 | 2018-10-27T22:56:01 | 2018-10-27T22:56:01 | 154,591,114 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,970 | py | # most of this code was politely stolen from https://github.com/berkeleydeeprlcourse/homework/
# all creadit goes to https://github.com/abhishekunique (if i got the author right)
import sys
import random
import numpy as np
def weighted_choice(v, p):
total = sum(p)
r = random.uniform(0, total)
upto = 0
for c... | [
"noreply@github.com"
] | Pharce.noreply@github.com |
769b8de587dac9524e70aa9ed4ee4aebce6a6eb1 | f863d32353ea93bf371831dd0ce7dc53fb737cdc | /Cylinder_Driver.py | 89981730fb6cc27e671a50cccca2e167a625a69a | [] | no_license | GeospatialDaryl/503_StochasticCylinders | 5ccbc1c4e82e20b760248d8e4b37b95227b29d3d | 38b7948ef6bbf214838dd8a9a93aed62b7474957 | refs/heads/master | 2016-08-12T22:30:53.395753 | 2016-01-27T00:51:00 | 2016-01-27T00:51:00 | 50,470,414 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,543 | py | import logging
import os
from functools import partial
from multiprocessing.pool import Pool
import multiprocessing
from time import time
import ogr
import subprocess
import shlex
import numpy.random as rand
def run_and_return(cmdSrc, cmdDest = ""):
"""Run a system command and return the output"""
srcProcess =... | [
"daryl_van_dyke@fws.gov"
] | daryl_van_dyke@fws.gov |
939593332352dd37c18a98c7d06f74bf700b8750 | a2151340197e0fcc3685eacf087aa57b2c5ac6eb | /lang101/bin/f2py | 44ab6f442938ca5c3efc6c65497369e4c5d3f378 | [
"MIT"
] | permissive | haniamatera/cds-language | 97d7feb5541bc179f88465e59dd71d24e1af3884 | 4014aa2af00947c61c8a27f6ce87c4b8b9d721cb | refs/heads/main | 2023-03-07T11:42:39.637967 | 2021-03-01T17:27:57 | 2021-03-01T17:27:57 | 338,007,567 | 0 | 0 | MIT | 2021-02-11T11:19:08 | 2021-02-11T11:19:08 | null | UTF-8 | Python | false | false | 267 | #!/Users/hannamatera/Desktop/CDS_new/cds-language/lang101/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"haniamatera@gmail.com"
] | haniamatera@gmail.com | |
c48f86a907b699de10b5ca7f7e98500310dd7653 | d858bfab35856192d4ef79059385060930463b40 | /program.py | 72e3d20f3d8948a165c7cb994c85b76a42fb6426 | [] | no_license | zlata24/First-Python-Game | 3f16180a070c824fe187b7279e67cd94245a5184 | a7da211fef89d5bb41d09074bc5fd7f8de2bd706 | refs/heads/master | 2022-11-05T16:26:41.071274 | 2020-06-15T03:29:38 | 2020-06-15T03:29:38 | 272,332,941 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,203 | py | # My first game
# Welcome message
print("Welcome to the game!")
print("Let's play!")
print()
# def dictionary
dictionary = {}
# Ask user's info
print("Please submit your age")
prompt_age = input("> ")
prompt_age = int(prompt_age)
print("Please submit your name")
prompt_name = input("> ")
prompt_name = prompt_name.... | [
"noreply@github.com"
] | zlata24.noreply@github.com |
b96ebaae609294cdc8b57b616afb0e1dd7dc6029 | e6e98dee9ef88fe8cb72a5de3027c0fc721d529c | /magicbroomsite/migrations/0017_auto_20170906_1226.py | 7fdbee83c720f27ebc7dc95c23739b022335127f | [] | no_license | aboudaman/magicbroom | eb80704ed091b788b8e8d8d8f62e6ab8bb10bcd7 | 349cb23ccd44746cddc9708d08cd2558d840ec00 | refs/heads/master | 2021-05-05T17:48:07.826887 | 2018-01-06T15:34:43 | 2018-01-06T15:34:43 | 103,464,456 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 589 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-09-06 12:26
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('magicbroomsite', '0016_auto_20170906_1226'),
]
operations = [
migrations.Al... | [
"adaman2000@gmail.com"
] | adaman2000@gmail.com |
255799a7a5d5345843cfb229475108352d8fed79 | 785ff1324640cf8de7d474c49673dd80aa509d77 | /Day7/exercise_4.py | 296bd241ff51610eb8a8c0e70499ed3e777af3ce | [] | no_license | jerry0734/learnPy100D | 663a8321164ac57d196f6c5219d2858b57c65603 | 06d3940cd7ca32485168bf39930d07d6656263bc | refs/heads/master | 2022-12-19T12:09:13.846034 | 2020-09-22T03:42:55 | 2020-09-22T03:42:55 | 293,426,636 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | """
设计一个函数返回传入的列表中最大和第二大的元素的值
"""
import random
def get_max(numbers):
max_1 = numbers[0]
max_2 = 0
for i in range(1, len(numbers)):
if numbers[i] > max_1:
max_2, max_1 = max_1, numbers[i]
elif numbers[i] > max_2:
max_2 = numbers[i]
print(i, max_1, max_2)
... | [
"jerry34@foxmail.com"
] | jerry34@foxmail.com |
fbaa5089d6e1da6ee4b4ae8fbbb0307f970b896d | 07ec5a0b3ba5e70a9e0fb65172ea6b13ef4115b8 | /lib/python3.6/site-packages/zmq/backend/cython/__init__.py | 23d46766ea57349610e4f4bee39629dbae38036a | [] | no_license | cronos91/ML-exercise | 39c5cd7f94bb90c57450f9a85d40c2f014900ea4 | 3b7afeeb6a7c87384049a9b87cac1fe4c294e415 | refs/heads/master | 2021-05-09T22:02:55.131977 | 2017-12-14T13:50:44 | 2017-12-14T13:50:44 | 118,736,043 | 0 | 0 | null | 2018-01-24T08:30:23 | 2018-01-24T08:30:22 | null | UTF-8 | Python | false | false | 128 | py | version https://git-lfs.github.com/spec/v1
oid sha256:a653e6cc07468a5fe090dadca6864bc60a827cd8d17835f62fbf13c676fb7f98
size 627
| [
"seokinj@jangseog-in-ui-MacBook-Pro.local"
] | seokinj@jangseog-in-ui-MacBook-Pro.local |
8e15beec0f102900873eca9f776a89110c832296 | b9b9a66f853c76701d67ea408712f3aa84a0e018 | /codewars/codewars_alphabet_anagram.py | 63b0ed0fd55a564bc5481cbf4d51ce2ddaf68c83 | [] | no_license | MiConnell/Katas | 5dcaf73aad3b5f534d898c0ca260b1b8880e379d | f1765f3e9f3c0cc665e6bca2dc98d20781a773a1 | refs/heads/master | 2023-04-05T00:36:32.196579 | 2021-04-17T22:37:23 | 2021-04-17T22:37:23 | 286,301,507 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,793 | py | # https://www.codewars.com/kata/53e57dada0cb0400ba000688/train/python
"""
Consider a "word" as any sequence of capital letters A-Z (not limited to just "dictionary words").
For any word with at least two different letters,
there are other words composed of the same letters but in a different order
(for instance, STATIO... | [
"connellmp@gmail.com"
] | connellmp@gmail.com |
55723d6e280682d8c762ef2dfe520b0ded9f7962 | a9e60d0e5b3b5062a81da96be2d9c748a96ffca7 | /configurations/lab44-config/scripts/Demo/demoPeakFindingInFiles01.py | 2d9fee5e77d66d72e91790e437c8f74cec9c8c77 | [] | no_license | openGDA/gda-diamond | 3736718596f47607335ada470d06148d7b57526e | bbb64dcfd581c30eddb210c647db5b5864b59166 | refs/heads/master | 2023-08-16T08:01:11.075927 | 2023-08-15T16:01:52 | 2023-08-15T16:01:52 | 121,757,699 | 4 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,191 | py | import math;
import myFun;
y1 = DeviceFunctionClass("y1", "testMotor1","testMotor2", "myFun.testFunY1");
y2 = DeviceFunctionClass("y2", "testMotor1","testMotor2", "myFun.testFunY2");
scan testMotor1 -2*math.pi 2*math.pi 0.1 y1
scan testMotor1 -2*math.pi 2*math.pi 0.1 y2
data=ScanFileHolder();
#load the SRS data s... | [
"fajin.yuan@diamond.ac.uk"
] | fajin.yuan@diamond.ac.uk |
56f70869124c25dbc8211897f56c3679c2655df4 | 8dfee16e9c680d528439767316428b9e4f609dbd | /{{ cookiecutter.project_name }}/config/settings/production.py | 6888ae345433d39e5719c28ccfe33a0937ae8f4d | [] | no_license | joakimekman/cookiecutter-django-ekman | c9ffb3d36b20abc2399495d8352a88d03fbcfd0f | 727387947315f2c859d5683fe48e3c4f83465cb0 | refs/heads/master | 2022-12-14T14:23:24.412004 | 2019-12-18T12:06:43 | 2019-12-18T12:06:43 | 167,615,654 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,567 | py | from .base import *
from decouple import config
# GENERAL
# --------------------------------------------------------------------
DEBUG = False
ALLOWED_HOSTS = [
'localhost',
'0.0.0.0',
'127.0.0.1',
]
# DATABASES
# --------------------------------------------------------------------
DATABASES = {
'default'... | [
"joakimekman91@gmail.com"
] | joakimekman91@gmail.com |
c57af0edba753c73d1baa7c1d20d1e517b07d71f | 6b29d66ba7927129b68bc00db769f0edf1babaea | /SoftLayer/CLI/cdn/load.py | 5dc53ca2bf549af7d5d051fbf032636005fb948f | [
"MIT"
] | permissive | tdurden82/softlayer-python | 65f42923c347a164995dfc267829721032de261d | 0eed20fa4adedd3228d91d929bb8befb1e445e49 | refs/heads/master | 2021-01-17T10:01:48.087450 | 2015-10-19T18:38:53 | 2015-10-19T18:38:53 | 46,301,339 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 468 | py | """Cache one or more files on all edge nodes."""
# :license: MIT, see LICENSE for more details.
import SoftLayer
from SoftLayer.CLI import environment
import click
@click.command()
@click.argument('account_id')
@click.argument('content_url', nargs=-1)
@environment.pass_env
def cli(env, account_id, content_url):
... | [
"k3vinmcdonald@gmail.com"
] | k3vinmcdonald@gmail.com |
80f2060d4bf99a23db28ef2a0835f1db2ae4d018 | 8080c75c96bfb4314b92b64e217523fbd418e10e | /users/urls.py | 38e9dcbc93fc5ec8235a1eef4b2411ffbf96aa24 | [] | no_license | aktober/Belezhnik | a0b6bc275aa81650371d3c0bcf5c782c290ac1fb | 3585a84fb046737a2277ed614157750642602717 | refs/heads/master | 2021-05-04T03:03:02.725417 | 2018-02-06T21:31:33 | 2018-02-06T21:31:33 | 120,371,507 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 462 | py | from django.urls import path
from users import views
app_name = 'users'
urlpatterns = [
path(r'login/', views.LoginPage.as_view(), name='login'),
path(r'logout/', views.LogoutPage.as_view(), name='logout'),
path(r'profile/', views.ProfilePage.as_view(), name='profile'),
path(r'register/', views.Regist... | [
"a.popovychenko@gmail.com"
] | a.popovychenko@gmail.com |
9cb09920c20113c946ce4e32464a041bb6bc7a0e | 7f3f8bc74858fc80a50ebe44cfaa67a7c1f773f2 | /sw.py | 1efd9942d77e9b98687381cf2ef44d86496423d6 | [] | no_license | lubingchen/mcs | 78a1ac5f5ac00683a0f4b8f2ecbbeeb4c073795b | 8881d1f75f93dcbe81cca7964b3c7ad606828029 | refs/heads/master | 2020-09-19T23:21:34.570327 | 2019-12-04T09:31:07 | 2019-12-04T09:31:07 | 224,321,960 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 451 | py | #!/usr/bin/python3
import RPi.GPIO as GPIO
import time
# Use physical pin numbers
GPIO.setmode(GPIO.BCM)
# Set up header pin 22 (GPIO25) as an input
buttonPin = 24
print ("Setup Pin 22")
GPIO.setup(buttonPin, GPIO.IN)
while True:
#take a reading
input = GPIO.input(24)
#if the last reading was low and this one ... | [
"912target@gmail.com"
] | 912target@gmail.com |
0780b1837a14ec6809961f1886b5e5715638b300 | f99a83f3d538a121184de88bff19ce396be6e3d5 | /stayclean-2019-july/serve-signups-with-flask.py | 713d2236ae476172de0ca6feeb7bc7eee49c7036 | [
"MIT"
] | permissive | foobarbazblarg/stayclean | c38deddd971b795af58ae389b9e65914dea08d2d | 384a8261b1164797d6726166a6e40f323e5bd6dd | refs/heads/master | 2023-02-21T09:48:57.907540 | 2023-01-02T15:32:35 | 2023-01-02T15:32:35 | 45,186,602 | 1 | 0 | MIT | 2023-02-16T03:49:00 | 2015-10-29T13:59:33 | Python | UTF-8 | Python | false | false | 8,591 | py | #!/usr/bin/env python
import subprocess
import praw
from hashlib import sha1
from flask import Flask
from flask import Response
from flask import request
from cStringIO import StringIO
from base64 import b64encode
from base64 import b64decode
from ConfigParser import ConfigParser
import OAuth2Util
import os
import mar... | [
"foobarbazblarg@gmail.com"
] | foobarbazblarg@gmail.com |
213220daf45739a739835cfbc5c38812db7edeb7 | 44f452c7af9943583e343449d5d1db3e7581ca46 | /venv/bin/pip | 3867aa60e67d7da60c7099c31e7659c6468507b6 | [] | no_license | Abhay-Bhaskar/aTunes | 403ca1c2b1a96dcd5d8f35d161de51a1361fb7ad | e0236c78b84668acceb02e3973cb3818cf145ea0 | refs/heads/master | 2020-04-13T12:07:03.668081 | 2018-12-26T21:03:24 | 2018-12-26T21:03:24 | 163,193,174 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | #!/home/abhay/PycharmProjects/aTunes/venv/bin/python
# 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])
sys.e... | [
"abhayakshay@live.com"
] | abhayakshay@live.com | |
7d2ecfb80d138ad1ffefda05a379fa418bae027a | 852f9c1ab2a15c8f5ee452141ade8925dc633907 | /ps1b.py | d1dade638255c41bd2f6f40a984b5f9628027eaa | [
"Giftware"
] | permissive | avitide-ethan/MIT-OCW-6_0001F16 | 1808a58526dd395bd9b320295c290ef189f80674 | afb3aee630755c3e7896708a44aa318831250a6a | refs/heads/master | 2021-04-26T23:18:05.401169 | 2018-04-04T03:55:50 | 2018-04-04T03:55:50 | 123,967,075 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,142 | py | print("This program will calculate how many months it will take to save up enough money for a down payment.")
annual_salary = float(input("Enter your annual salary: "))
portion_saved = float(input("Enter the percent of your salary to save, as a decimal: "))
total_cost = float(input("Enter the cost of your dream home: "... | [
"ethan.dow@avitide.com"
] | ethan.dow@avitide.com |
fd6c4b075eb403bf8dc7c18c9b75ace27bc189e2 | 1a166165ab8287d01cbb377a13efdb5eff5dfef0 | /sdk/network/azure-mgmt-network/azure/mgmt/network/v2020_03_01/operations/_connection_monitors_operations.py | 46689ddf45957cd45d6d3a96b4110fa0e9405644 | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | manoj0806/azure-sdk-for-python | 7a14b202ff80f528abd068bf50334e91001a9686 | aab999792db1132232b2f297c76800590a901142 | refs/heads/master | 2023-04-19T16:11:31.984930 | 2021-04-29T23:19:49 | 2021-04-29T23:19:49 | 363,025,016 | 1 | 0 | MIT | 2021-04-30T04:23:35 | 2021-04-30T04:23:35 | null | UTF-8 | Python | false | false | 45,729 | 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 may ... | [
"noreply@github.com"
] | manoj0806.noreply@github.com |
d7d3a2e41838be4f9888283ce8a5ea31e6985298 | 95f1359cf44ecdbf9c3d418f6ae3dbc0f0a9dcb0 | /probFactors.py | 92b4dfd6eab2c19ecca212cec94c3a10a07fd759 | [] | no_license | vitcal78/MED | c0d79a77edcaea6fb9b1c7002310a78c7efe1534 | 1d2e5bcef1dbcfc8779b2ccd117972d7ca61e01f | refs/heads/main | 2023-02-13T19:23:45.364238 | 2021-01-09T07:49:49 | 2021-01-09T07:49:49 | 328,093,005 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,975 | py | # probFactors.py - Factor manipulation for graphical models
# AIFCA Python3 code Version 0.8.4 Documentation at http://aipython.org
# Artificial Intelligence: Foundations of Computational Agents
# http://artint.info
# Copyright David L Poole and Alan K Mackworth 2017-2020.
# This work is licensed under a Creative Comm... | [
"vitcal78@gmail.com"
] | vitcal78@gmail.com |
9371f82b30f28ec2ea8f912d2ebb28d543b00493 | 478fad0652b25cc228eb6c02c56b6a944d23b217 | /Commands.py | 54a4685ee79ff5063e4a41c07c8c8b9f541ebdc1 | [] | no_license | vinayreddy115/ds_salary_proj | a2fba0bc474efe43ad0c2cf23badc3b52b05a585 | e88edd1cd2fb0b2ba5d556be8a6ceaf879f95460 | refs/heads/master | 2022-12-22T21:37:57.398366 | 2020-10-08T18:41:47 | 2020-10-08T18:41:47 | 302,356,568 | 1 | 0 | null | 2020-10-08T18:41:48 | 2020-10-08T13:52:29 | Python | UTF-8 | Python | false | false | 17 | py | print(df.head(1)) | [
"baradivinay115@gmail.com"
] | baradivinay115@gmail.com |
17ae3745e60da3b1ea7472cb392d4faf0ecae016 | e4ec350f85c7c7082056596cb35fbeac4f20b174 | /app/SqueezeLayer.py | 22ea82b8eb0dcd4c7fbc02781ac69a7dd47999eb | [] | no_license | benbogart/bird_vocalization_classification_dashboard | 6945319e53d664274e21ae8f8f52f9679b23a694 | 386ea2952494bc1de154e9feb4ec20663da43a31 | refs/heads/main | 2023-04-22T23:41:02.314555 | 2021-04-23T14:51:49 | 2021-04-23T14:51:49 | 358,924,236 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 952 | py | from tensorflow import keras as K
from tensorflow.keras.layers import Layer
class SqueezeLayer(Layer):
'''
Keras squeeze layer
Taken from milsed https://github.com/marl/milsed/
'''
def __init__(self, axis=-1, **kwargs):
super(SqueezeLayer, self).__init__(**kwargs)
self.axis = axis
... | [
"ben@benbogart.com"
] | ben@benbogart.com |
2122bf334da1efff325d7418ef69af911529d88a | 2300a140b3506c6e934794f0da40fc466e50b310 | /senti/crawler/migrations/0002_auto_20160408_1058.py | ea25cfa0a917edc35a7e2aa348ede314d461d21b | [] | no_license | chiranjeevjain/sentientX | 28baebfe1bbed32085db337c98d7b4f90775beff | b4aeb296be982d225f839c25cdedf354b00c02a6 | refs/heads/master | 2021-01-24T08:15:52.644798 | 2016-04-17T16:35:41 | 2016-04-17T16:35:41 | 68,904,940 | 1 | 0 | null | 2016-09-22T09:15:35 | 2016-09-22T09:15:34 | null | UTF-8 | Python | false | false | 600 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-04-08 10:58
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('crawler', '0001_initial'),
]
operations = [
migrations.AddField(
... | [
"chanakya.malireddy@gmail.com"
] | chanakya.malireddy@gmail.com |
ffc572e9dbd67af628b274ff6ba22caa5f2f11d6 | 2bcfa4f50aee2f20f1829522153d5b490eca9120 | /scripts/download_comms.py | b7115a71469a4a8ff639ad95de41e79a53c43a1c | [] | no_license | ronaldmaj/InsightDataProject | 0302ee8e100b8b45f6a80b044a567010493ac796 | 9b54bd6ff5a35b1d9a0b94a1b6327f71c8c7e24c | refs/heads/master | 2020-12-11T20:02:15.094121 | 2020-02-14T03:56:51 | 2020-02-14T03:56:51 | 233,945,248 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,116 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 21 12:22:06 2020
Script to scrape comments from the top 50 results for the term 'vlog'
@author: Ronald Maj
"""
#%%
import os
import time
import googleapiclient.discovery
import pandas as pd
import yt_cm as cm
import json
#%%
insight_dir = os.getcwd()[0:19]+'\\Documents\\... | [
"36747983+ronaldmaj@users.noreply.github.com"
] | 36747983+ronaldmaj@users.noreply.github.com |
e9007fc49d13f5d5c05e56540b2d43ef7c47a409 | f647c6fb984b6e93977bb56a9a4533b8d47e6644 | /lib/form_szone.py | cb1d487631fc14327e35774f177cfca5598b2b59 | [] | no_license | vdsmirnov52/wt000 | 7a88fcf29e5f786b8f2b0956b4a10ae68c0e32a6 | 0dd8ead0a73ed0f3f7f2f8c5302dff0071392570 | refs/heads/master | 2021-04-26T05:50:59.554131 | 2020-08-06T10:14:02 | 2020-08-06T10:14:02 | 79,928,565 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,269 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os, sys, time
import urllib
import json
LIBRARY_DIR = r"/home/smirnov/Wialon/lib/"
sys.path.insert(0, LIBRARY_DIR)
'''
[ /* массив, с данными о геозонах */
{
"n":<text>, /* название геозоны*/
"d":<text>, /* описание */
"id":<long>, /* ID геозоны внутри ресурс... | [
"vdsmitnov52@gmail.com"
] | vdsmitnov52@gmail.com |
d17e8ff8187c3921897883120db844b538a4b52e | a40950330ea44c2721f35aeeab8f3a0a11846b68 | /OpenCV-python读取监控/图片视频车牌识别.py | dee934f727046acfa89a8815d3f66fb583122548 | [] | no_license | huang443765159/kai | 7726bcad4e204629edb453aeabcc97242af7132b | 0d66ae4da5a6973e24e1e512fd0df32335e710c5 | refs/heads/master | 2023-03-06T23:13:59.600011 | 2023-03-04T06:14:12 | 2023-03-04T06:14:12 | 233,500,005 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,094 | py | from hyperlpr import *
import cv2
class CarNumRecognition(object):
def __init__(self, image_path, video_path):
self._image_path = image_path
self._video_path = video_path
def video(self):
print('[INFO] starting video stream')
stream = cv2.VideoCapture(self._video_path)
... | [
"443765159@qq.com"
] | 443765159@qq.com |
1c4b88485adf158db1f4ac7a804da5e91357ddd8 | b9c6f065e37fe7b8fb3a1f23b65b40f30833dfb3 | /set_build_no.py | b7e4b0d86de0b7175fdbc99bedb274f22e562b8e | [
"Apache-2.0"
] | permissive | BRHN-11/Crypt-Server | be155f3cafc2a5626f805dac3ba5171a1fe9d90d | 266185e5c3acd2af0ff2cf4e0ce22c849680dc64 | refs/heads/master | 2023-08-30T21:47:25.857954 | 2021-01-15T18:24:58 | 2021-01-15T18:24:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 691 | py | #!/usr/bin/python
import os
import plistlib
import subprocess
current_version = "3.1.0"
script_path = os.path.dirname(os.path.realpath(__file__))
# based on http://tgoode.com/2014/06/05/sensible-way-increment-bundle-version-cfbundleversion-xcode
print("Setting Version to Git rev-list --count")
cmd = ["git", "rev-l... | [
"noreply@github.com"
] | BRHN-11.noreply@github.com |
b6afeb6ebadd6ad349db47589435aa408c0707ae | 6e3532291c327a9be7ea15fa37a673eefbf76a11 | /Chapter_6/pizza.py | 9072adf6a3d6884b98ac507ee9793055fc1d71e6 | [] | no_license | Denzaaaaal/python_crash_course | bc9aa8029d975bec8417d76e0bcdbd4480444cb0 | d944893a575a4ca6ea1dec0786602d0c4a82e88d | refs/heads/master | 2022-09-18T18:46:01.141317 | 2020-06-04T11:07:55 | 2020-06-04T11:07:55 | 266,353,585 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 310 | py | # Store information about a pizza being ordered
pizza = {
'crust': 'thick',
'toppings': ['mushrooms','extra cheese']
}
# Summerising the order
print (f"You ordered a {pizza['crust']}-crust pizza"
"with the following toppings:")
for topping in pizza['toppings']:
print (f"\t{topping}") | [
"denzeldouglas@protonmail.com"
] | denzeldouglas@protonmail.com |
abd622ab70f46e69735ea3d7762b678762558332 | e3365bc8fa7da2753c248c2b8a5c5e16aef84d9f | /indices/evergreen.py | 886488cecc8d2463d953d0554e5a5a96fb0d02c6 | [] | no_license | psdh/WhatsintheVector | e8aabacc054a88b4cb25303548980af9a10c12a8 | a24168d068d9c69dc7a0fd13f606c080ae82e2a6 | refs/heads/master | 2021-01-25T10:34:22.651619 | 2015-09-23T11:54:06 | 2015-09-23T11:54:06 | 42,749,205 | 2 | 3 | null | 2015-09-23T11:54:07 | 2015-09-18T22:06:38 | Python | UTF-8 | Python | false | false | 667 | py | ii = [('MarrFDI.py', 1), ('CoolWHM2.py', 1), ('KembFFF.py', 1), ('ProuWCM.py', 2), ('ShawHDE.py', 1), ('MartHSI2.py', 2), ('LeakWTI2.py', 2), ('LeakWTI3.py', 1), ('PeckJNG.py', 1), ('RoscTTI3.py', 1), ('RoscTTI2.py', 1), ('CoolWHM.py', 1), ('LyelCPG.py', 2), ('GilmCRS.py', 3), ('CrocDNL.py', 1), ('MedwTAI.py', 1), ('Le... | [
"prabhjyotsingh95@gmail.com"
] | prabhjyotsingh95@gmail.com |
86f71b6a21c37f5a888d31eb1350d8dc414a6eab | 4429558655a0b96f3affb4501b560bffef77584f | /solution/dataset.py | 20210edec9338f26065309c322cdb678b33ac0eb | [] | no_license | MarkerViktor/ImprovadoTestTask | 70b882be0049161f0b7db26007b6fd22e4052a49 | aa7e22ad700c94766a7bbb259191d1522a392d3d | refs/heads/master | 2023-06-25T20:42:18.802734 | 2021-07-22T10:35:22 | 2021-07-22T10:35:22 | 387,648,506 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,683 | py | from itertools import chain
from io import StringIO
from collections import Collection
from typing import IO, Union, Iterator, Callable, Iterable
Schema = dict[str, type]
IndicesDict = dict[str, int]
RowValue = Union[str, int, float, bool]
Row = tuple[RowValue, ...]
RowDict = dict[str, RowValue]
GrouperOperator = Call... | [
"MarkerViktor@outlook.com"
] | MarkerViktor@outlook.com |
c7420131506a4d2e390cb9d8df21223f481e8951 | 8a6ea916051ecdf3767e3d1f1e2b69d7d1db7315 | /NLPwithML/DL4INdustry/protoBuf.py | b5e245f831feeb339769354dabccdfd8d654d7df | [] | no_license | LokeshKD/MachineLearning | 5d7b751dbcb5d08e938af24748d402d1da121fc7 | f16d1b4d3ee35703a504f73c242c0ec02b0ba360 | refs/heads/master | 2023-06-04T22:07:56.903269 | 2021-06-22T06:46:57 | 2021-06-22T06:46:57 | 359,021,896 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,823 | py |
# Usage of ProtoBufs in TF.
## convert dict to tf.train.Example object.
## Features to Example.
import tensorflow as tf
features = tf.train.Features(feature=f_dict) # f_dict is a dict
ex = tf.train.Example(features=features)
print(repr(ex))
## output
'''
features {
feature {
key: "age"
value {
int6... | [
"i.lokesh@gmail.com"
] | i.lokesh@gmail.com |
30f869b3cf399036b70c382615c7c4de7189ea37 | 60d15185ec975d2beb6bf82b3c346c1083106c28 | /pylibs/stress_tests/network_forming.py | 858df10777880a3ab8250340e978484471c57304 | [
"BSD-3-Clause"
] | permissive | bee-mcc/ot-ns | d9dedb70f8946994a474c6dc883e581300625ef9 | 86df24e98811193540947608e1de663859f0a49a | refs/heads/main | 2023-07-23T20:59:27.248025 | 2021-09-10T03:46:36 | 2021-09-10T03:46:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,723 | py | #!/usr/bin/env python3
#
# Copyright (c) 2020, The OTNS Authors.
# 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, th... | [
"noreply@github.com"
] | bee-mcc.noreply@github.com |
fd05e0da7a8d0805078cb0666536af63af4db1a5 | 5c1bfe1d55027789cb5a55b458a143bd4e32a142 | /PlacementQuestions/EqualZeroOneSubSequence.py | bfce65dfc36bc8b05b29ac754f5b2eebde2a7626 | [] | no_license | alfa-abhi/Algorithms | e9487293b92162a2cf068137370c82574ebe3086 | 746bbfacebee57bbfa4883873a5413ed6aa02df1 | refs/heads/master | 2020-12-30T14:19:53.299617 | 2017-09-27T14:55:05 | 2017-09-27T14:55:05 | 91,309,057 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 503 | py | # input: 11010011
# output: [1, 1, 0, 1, 0, 0]
seq = map(int, list(raw_input()))
length = len(seq)
zero = seq.count(0)
one = length - zero
equator = min(zero, one)
counter = 0
oneCount = 0
zeroCount = 0
subSequence = []
while counter < length:
if seq[counter] == 1:
if oneCount < equator:
subSe... | [
"alfa.abhi1996@gmail.com"
] | alfa.abhi1996@gmail.com |
78f4aace9123fe4006a521cee5e8250675624545 | eec6ae08a76266e9535d40b9bb32dfca3d51d24f | /urllib_test2.py | 372e7b9983c80d87a64b0527ea95368c6af23c60 | [] | no_license | jacklee19860111/Python_Test | 9d045eee4b04f2345824c9829cafcb82e3d99462 | 0734f238efaebb90b81d8aeef5f2acf0bcbf3723 | refs/heads/master | 2021-01-11T22:18:16.432421 | 2017-01-15T16:04:58 | 2017-01-15T16:04:58 | 78,944,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 449 | py | #-*-coding:utf-8-*-
import urllib
def callback(a,b,c):
"""
@a:是目前为止传递的数据块数量
@b:是每个数据块的大小，单位的byte
@c:是远程文件的大小
"""
download_progress = 100.0 * a * b / c
if download_progress > 100:
download_progress = 100
print "%.2f%%" % download_progress
url = "http://www.163.com"
urlpath="/hom... | [
"lijihou_0@126.com"
] | lijihou_0@126.com |
0402b3a4ef0c8bb5d3c578f2d1051cf79251b9ad | 2187ad01c46764b5642054ab1345f76ef8fd7f88 | /Module05/DE-101_Labs/AWS - Python Workshop/LearnPython/lab_1_hello_world.py | 61915fc31029b1b442f6f3ac69ecd92ece89487e | [] | no_license | achudinova/DE-101 | 8132604a260a0e4ec2511cf4181617d8923b1971 | 26741acae39f10d318eb9e8a1f84879a6f9bf917 | refs/heads/main | 2023-06-23T23:18:55.915527 | 2021-07-27T14:23:24 | 2021-07-27T14:23:24 | 385,186,743 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 174 | py | # A function that returns hello world
def hello_world():
return 'hello world'
# Assign the hello_world() function to a variable.
greeting = hello_world()
print(greeting) | [
"anastasiushka995@gmail.com"
] | anastasiushka995@gmail.com |
01c119add1d00161240988b19ce3d83e9cb8db21 | c93a0b82627679a904f792668880cefffe801353 | /ml/m05_iris2_keras.py | 09623045b0c1128bd04d0bf40141f5571a53ea9e | [] | no_license | Eunah-Kim/keras | b52f29b90c858263c606b61877678d7223821f59 | 40f58f5aeb6d38db1b6c81455d0911bb547239f5 | refs/heads/master | 2020-12-18T18:29:02.334063 | 2020-02-26T09:20:40 | 2020-02-26T09:20:40 | 235,483,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,601 | py | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.metrics import accuracy_score
from sklearn.preprocessing import LabelEncoder
from keras.models import Sequential
from keras.layers import Dense
import numpy as np
import tensorflow as tf
# 1. 데이터 붓꽃 데이터 읽... | [
"keunah1016@naver.com"
] | keunah1016@naver.com |
faa557a97a5bf7715dcab61f03ac74715d01584c | a39e85f1e6fbf245d84737933f676791a6efbf86 | /Scripts/twistd-script.py | 3a389b3da2ec4fc28eb81e84fecc5bb557771444 | [] | no_license | harshivvp/PythonWebDev-VEnv | 4b025af37c4903119b70a61bc15d26eab6c9ac9a | 8ce13f3bc2af7a61922336b79aaeb6d23eae3aa2 | refs/heads/master | 2021-05-02T10:50:06.822469 | 2018-02-12T13:23:38 | 2018-02-12T13:23:38 | 120,762,014 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 412 | py | #!e:\harshiv\projects\myvenv\scripts\python.exe
# EASY-INSTALL-ENTRY-SCRIPT: 'Twisted==17.9.0','console_scripts','twistd'
__requires__ = 'Twisted==17.9.0'
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])
... | [
"pandyaharshiv@gmail.com"
] | pandyaharshiv@gmail.com |
373c9b5a52acc56a36e4c67a851a21594b807d20 | f67b12ea1fdd4c98a50bee602038e6490ff659d0 | /types.py | 45842d0394022d197c72ee2684e1e5e4e83993ba | [] | no_license | puhachalex/lesson1 | c58ffedf6f32a1eb6b41b047324654cbf0f865f5 | cfdde2a475b45f37a00d3c2deeab82ed109afdfc | refs/heads/master | 2020-09-19T20:07:11.233613 | 2019-12-08T17:53:23 | 2019-12-08T17:53:23 | 224,286,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 296 | py | name = input('Введите ваше имя: ').upper()
print(f'Привет, {name}! Как дела?')
##########
a = float(1) # ???
b = int(2.5) # ???
c = bool(1) # ???
d = bool('') # ???
e = bool(0) # ???
print(type(a))
print(type(b))
print(type(c))
print(type(d))
print(type(e))
| [
"puhach.alex@gmail.com"
] | puhach.alex@gmail.com |
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