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43965087140 | #Question 1 Concurrent
import concurrent.futures
import time
start=time.perf_counter()
#define functions
def add(x, y):
print("This worked")
return x + y
print("This worked")
def subtract(x, y):
return x-y
def multiply(x, y):
return x * y
def divide(x, y):
if y==0:
rai... | mpadill6/UCSD-Intro-to-Programming | Week 4/Question 1/Hw4_Concurrent.py | Hw4_Concurrent.py | py | 974 | python | en | code | 0 | github-code | 6 |
73826380346 | # This Python file has the entire code without particular libraries.
# Made by: Feltrim
# Instagram: instagram.com/vfeltrim_
# Libraries
from math import factorial, sqrt
from time import sleep
# Interface functions:
def line(size=42):
"""_summary_
Args:
size (int, optional): Defaults to 42.
R... | Feltrim/Calculator | Codes/main_code.py | main_code.py | py | 6,153 | python | en | code | 0 | github-code | 6 |
74773385148 | import numpy as np
import os
import torch
from typing import List, Tuple
from tqdm import tqdm
from datetime import datetime, timedelta
import pickle
import matplotlib.pyplot as plt
# -------------------- Colorize ------------------------------------------
"""A set of common utilities used within the environments. Th... | hannahbull/slrtp2022_t3 | utils.py | utils.py | py | 2,912 | python | en | code | 3 | github-code | 6 |
32766695147 | from django.shortcuts import render, reverse, redirect
from django.views.generic import View
from django.views.generic.edit import CreateView
import requests
import re
count = 6
# Create your views here.
def home(request):
template_name = 'home.html'
return render(request, template_name=template_name... | SaahilS468/Serverless-API | image/views.py | views.py | py | 1,598 | python | en | code | 0 | github-code | 6 |
28830646732 | """Constants for the WiHeat Climate integration."""
import logging
API_URL = 'https://wi-heat.com/'
ID = 'home-assistant'
SESSION = 'A2B3C4D5E6'
DOMAIN = "wiheat"
CONF_CODE_FORMAT = "code_format"
CONF_CODE = "code"
CONF_TEMP = "temp"
UPDATE_INTERVAL = "timesync"
MIN_SCAN_INTERVAL = 60
API_ENDPOINT = {
'getUser... | kimjohnsson/wiheat | custom_components/wiheat/const.py | const.py | py | 861 | python | en | code | 0 | github-code | 6 |
5555757977 | import copy
from typing import Dict, List, Tuple
import torch
from data.low_res import SingleDomain
from data.geography import frequency_encoded_latitude
import numpy as np
from data.vars import FIELD_MASK, FORCING_MASK, get_var_mask_name
import xarray as xr
from utils.xarray_oper import tonumpydict
def determine_nd... | CemGultekin1/cm2p6 | data/low_res_dataset.py | low_res_dataset.py | py | 12,208 | python | en | code | 0 | github-code | 6 |
9772532153 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 11 15:49:56 2020
@author: lnajt
"""
#import pyximport; pyximport.install()
import fib
import primes
def uncompiled_fib(n):
"""Print the Fibonacci series up to n."""
a, b = 0, 1
while b < n:
print(b, end=' ')
a, b = b, a + b
print()
... | ElleNajt/TinyProjects | Learning_Cython/use.py | use.py | py | 1,023 | python | en | code | 4 | github-code | 6 |
5824663901 | """
Flask app for testing the SMART on FHIR OAuth stuff
Build from this tutorial: http://docs.smarthealthit.org/tutorials/authorization/
And using requests-oauthlib: http://requests-oauthlib.readthedocs.io/en/latest/index.html
"""
from flask import Flask, redirect, request, session
from requests_oauthlib import OAuth2S... | ahatherly/SMART-on-FHIR-testclient | app.py | app.py | py | 6,659 | python | en | code | 0 | github-code | 6 |
1854100159 | import sys
import os
import pandas as pd
import seaborn as sns; sns.set(style="ticks", color_codes=True)
class Data(object):
def __init__(self, fn = "Advertising.csv"):
# find path to data files, either called from top-level or within scripts
if os.path.exists("../data/"+fn):
data... | amloren1/pg | scripts/advertising.py | advertising.py | py | 1,102 | python | en | code | 0 | github-code | 6 |
43600893416 | # -*- coding: utf-8 -*-
from django.contrib import admin
from adminsortable2.admin import SortableAdminMixin, SortableInlineAdminMixin
from modeltranslation.admin import (
TranslationAdmin, TranslationTabularInline, TranslationStackedInline,
TabbedTranslationAdmin
)
from .models import (
SiteSettings, Foo... | CrazyChief/acidbro | core/admin.py | admin.py | py | 2,524 | python | en | code | 0 | github-code | 6 |
16146274526 | from simp_py import tft
lcd = tft.tft
import machine
rtc = machine.RTC()
synced = False
for i in range(3):
try:
rtc.ntp_sync('pool.ntp.org')
synced = True
break
except:
time.sleep(1)
if not synced:
lcd.text(0,50, 'time sync failured')
else:
while True:
tuplex = rtc.now()
YYYY,MM,DD,hh,mm... | kcfkwok2003/Simp_py | simp_py_examples/course/SM001_old/t209.py | t209.py | py | 443 | python | en | code | 0 | github-code | 6 |
2704503307 | # -*- coding: utf-8 -*-
from django.test import Client, RequestFactory, TestCase
from tasks import views
from tasks.models import Task, TaskStatus
from users.models import CustomUser
class TaskTest(TestCase):
"""Test cases for tasks."""
def setUp(self):
"""Initial setup before tests."""
self... | altvec/python-project-lvl4 | tasks/tests.py | tests.py | py | 1,403 | python | en | code | 0 | github-code | 6 |
12981024226 | #!/usr/bin/env python
"""
Pymodbus Synchronous Client Example to showcase Device Information
--------------------------------------------------------------------------
This client demonstrates the use of Device Information to get information
about servers connected to the client. This is part of the MODBUS specificati... | renatosperlongo/pymodbus | examples/contrib/deviceinfo_showcase_client.py | deviceinfo_showcase_client.py | py | 5,108 | python | en | code | 1 | github-code | 6 |
17418292210 | import math
class Vector3 (object):
__slots__ = ('x', 'y', 'z', '_x', '_y', '_z')
__hash__ = None
def __init__(self, x=0, y=0, z=0):
self.x = self._x = x
self.y = self._y = y
self.z = self._z = z
def __copy__(self):
return self.__class__(self.x, self.y, self.z)... | dcwatson/pavara-pyglet | pavara/vecmath.py | vecmath.py | py | 10,903 | python | en | code | 1 | github-code | 6 |
12579350671 | import numpy as np
import pandas as pd
#FEATURES
def make_feature_changing(df, feature_changing_list):
for func, params in feature_changing_list:
df = func(df=df, **params)
return df
#MULTIPLE PREDICTIONS
def multiple_predictions_TST(models_TST, Xs_TST):
predicts = []
for idx, model in enumer... | mechmabot/EVRAZ_AI | module.py | module.py | py | 1,856 | python | en | code | 0 | github-code | 6 |
36646912477 | import matplotlib
matplotlib.use('Agg') # noqa
from deepdecoder.data import generator_3d_tags_with_depth_map, DistributionHDF5Dataset
import diktya.distributions
from diktya.numpy import tile
import matplotlib.pyplot as plt
import os
import argparse
from keras.utils.generic_utils import Progbar
from scipy.ndimage.int... | berleon/deepdecoder | deepdecoder/scripts/generate_3d_tags.py | generate_3d_tags.py | py | 4,038 | python | en | code | 50 | github-code | 6 |
40986191942 | import random , sys , traceback
from time import sleep
from selenium import webdriver
import datetime
c=1;
browser = webdriver.Chrome('D:\\Python\\Bot Insta\\chromedriver')
browser.get('https://google.com')
while c== 1:
c=0
try:
browser.find_element_by_xpath('/html/body/ytd-app/div/div/ytd... | mirceah99/Python-Bot-Insta | Teste.py | Teste.py | py | 779 | python | en | code | 0 | github-code | 6 |
3714759753 | from unittest import TestCase
from datetime import datetime
from uuid import uuid4
from sh import git, rm, gitlint, touch, echo, ErrorReturnCode
class BaseTestCase(TestCase):
pass
class IntegrationTests(BaseTestCase):
""" Simple set of integration tests for gitlint """
tmp_git_repo = None
@classmet... | Hawatel/gitlint | qa/integration_test.py | integration_test.py | py | 2,991 | python | en | code | null | github-code | 6 |
11221441363 | import os, bcrypt
from datetime import datetime
from flask import Flask, request, jsonify, render_template
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__, static_folder='.')
app.config['UPLOAD_FOLDER'] = 'uploads'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///app.db'
app.config['SQLALCHEMY_TRACK_MOD... | tran-simon/hackatown | app.py | app.py | py | 3,082 | python | en | code | 0 | github-code | 6 |
75341615226 | """Train an EfficientNetB4 model to predict GBM vs PCNSL.
This requires TensorFlow >= 2.3.0.
"""
import argparse
import math
from pathlib import Path
import pickle
from typing import Tuple, Union
import h5py
import numpy as np
import tensorflow as tf
PathType = Union[str, Path]
def augment_base(x, y):
x = tf.... | kaczmarj/classification-of-gbm-vs-pcnsl-using-cnns | step1_train_model.py | step1_train_model.py | py | 6,476 | python | en | code | 0 | github-code | 6 |
42123556181 | # Partie1: Récupération des infos à partir d'un lien article
# Choisissez n'importe quelle page Produit sur le site de Books to Scrape. Écrivez un script Python qui visite cette page et en extrait les informations suivantes :
import sys
import requests
from bs4 import BeautifulSoup
import csv
import os
import urllib.re... | glgstyle/MyBookScraper | scrap_article.py | scrap_article.py | py | 3,256 | python | en | code | 0 | github-code | 6 |
11472792272 | import re
import time
import datetime
import json
import copy
import random
import os
from pathlib import Path
from urllib.parse import quote
from amiyabot import PluginInstance
from core.util import read_yaml
from core import log, Message, Chain
from core.database.user import User, UserInfo
from core.database.bot imp... | hsyhhssyy/amiyabot-arknights-hsyhhssyy-wifu | main.py | main.py | py | 6,170 | python | en | code | 0 | github-code | 6 |
36229750080 | from typing import List
'''
剑指 Offer II 119. 最长连续序列 == 128
一般想法是排序再遍历，时间复杂度为O(nlogn)
连续的数会有一个起始数字num，num - 1不在nums数组中
所以找到num - 1 不在nums中的那个数，查询其连续长度
'''
class Solution:
def longestConsecutive(self, nums: List[int]) -> int:
s = set(nums)
maxlen = 0
for num in s:
if num - 1 not ... | z-w-wang/Leetcode-Problemlist | FxxkOffer/Graph/Offer_2_119.py | Offer_2_119.py | py | 641 | python | en | code | 3 | github-code | 6 |
2704750787 | import os
from pymander.contexts import PrebuiltCommandContext, MultiLineContext, StandardPrompt
from pymander.shortcuts import run_with_context
from pymander.decorators import bind_argparse, bind_regex
class FileWriterContext(MultiLineContext):
FinishedHandler = MultiLineContext.OverOn2EmptyLines
def __ini... | altvod/pymander | examples/fswalk.py | fswalk.py | py | 2,906 | python | en | code | 0 | github-code | 6 |
43040033841 | # -*- coding: utf-8 -*-
"""
@author: lucianavarromartin
PRODUCTOR CONSUMIDOR 3(limited)
El almacén ahora tiene espacio infinito, y cada productor tiene k subalmacenes
que pueden estar llenos simultaneamente.
Añadimos el objeto Lock, en este código, para tener un acceso controlado a
los subalmacenes.
El... | lucnav01/ProductorConsumidor | ProductorConsumidor3NavarroMartinLucia.py | ProductorConsumidor3NavarroMartinLucia.py | py | 3,451 | python | es | code | 0 | github-code | 6 |
8515938890 | import numpy as np
from matplotlib import cm
import matplotlib.pyplot as plt
from matplotlib import gridspec
from scipy.optimize import curve_fit
from scipy.interpolate import interp1d
from pandas import unique
import csv
import h5py
from astropy import constants as const
from astropy import units as u
I_units = u... | jonasrth/MSc-plots | SED_EMISSA_plots.py | SED_EMISSA_plots.py | py | 6,655 | python | en | code | 0 | github-code | 6 |
71144565947 | #!/usr/bin/env python3
from dotenv import load_dotenv
from pet_posts import bot
import logging
import os
def main():
load_dotenv() # take environment variables from .env.
api_token = os.getenv("API_TOKEN")
logging.basicConfig(
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
... | dawngerpony/pet-posts | app.py | app.py | py | 483 | python | en | code | 0 | github-code | 6 |
32628012198 | import pandas as pd
import glob
from datetime import datetime, timedelta
# Leitura dos arquivos da pasta dataset
def readCSV():
listCSV = []
namePath = 'dataset'
# Select all csv in folder selected
namesFiles = glob.glob(namePath + "/*.csv")
# join all them
for filename in namesFiles:
... | lfmaster780/dataCovid | utils.py | utils.py | py | 3,138 | python | en | code | 0 | github-code | 6 |
20363546350 | #%%
from dataclasses import dataclass, field
from functools import wraps
from typing import List, Optional, Protocol, Union
import time
from .controller import Controller
from . import commands
from .acceptance_scheme import AcceptanceScheme, UnconditionalAcceptance
from .scattering_simulation import ScatteringSimulat... | lestercbarnsley/SasRMC | sas_rmc/simulator.py | simulator.py | py | 3,355 | python | en | code | 0 | github-code | 6 |
70941003388 | '''
Created on 8/03/2016
@author: EJArizaR
'''
import unittest
from apps.DaneUsers.tests.test_base import test_base
from django.core.urlresolvers import reverse
class IsUsernameRegisteredTest(test_base):
def setUp(self):
test_base.setUp(self)
def test_returns_False_if_user_doe... | diegopuerto/kiosco_universitario | source/apps/DaneUsers/tests/test_is_username_registered.py | test_is_username_registered.py | py | 852 | python | en | code | 0 | github-code | 6 |
15430780258 | adjacency_matrix = {1: [2, 3], 2: [4, 5],
3: [5], 4: [6], 5: [6],
6: [7], 7: []}
## Non-recursive
def dfs(graph, start):
"""
All possible connected vertices
"""
stack,path = [start],[]
while stack:
ele = stack.pop()
if ele in path:
continue
else:
path.append(... | dipalira/LeetCode | Arrays/dfs.py | dfs.py | py | 709 | python | en | code | 0 | github-code | 6 |
26804339781 | numeral_values = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
for case in range(int(input())):
expression = input()
numerals = expression.replace("+", " ").replace("=", " ").split()
value = 0
for num in numerals:
for idx in range(len(num)):
if ( (idx + 3 < len... | Stevan-Zhuang/DMOJ | CCC/CCC '96 S4 - When in Rome.py | CCC '96 S4 - When in Rome.py | py | 1,321 | python | en | code | 1 | github-code | 6 |
21884803180 |
def split_article_dict(di:dict) :
"""
Mandatory info :
@author : str
@year : int
@title : str
@journal : str
@volume : str
Optional Info :
@doi : str
@issn : str
@issue : int
@page : str
@url : str
"""
art_mandatory_key = ["author", "year"... | linkv12/bib2md | reff_parser.py | reff_parser.py | py | 3,976 | python | en | code | 0 | github-code | 6 |
37429761663 | import os
from bs4 import BeautifulSoup
import requests
import requests.exceptions
import urllib.parse
from collections import deque
import re
# Create the directory to store the scraped data if it does not already exist
if not os.path.exists("scraped_data"):
os.makedirs("scraped_data")
user_url = str(input('[+] ... | opemi-aa/email_phone_scrape | email_phone_scrape.py | email_phone_scrape.py | py | 2,267 | python | en | code | 0 | github-code | 6 |
34780751946 | import datetime
import csv
import re
from Classes import Contact
contact_list = list()
contact_list_csv = "contact_list.csv"
# Создание нового контакта и запись его в csv файл
def create_contact():
print("Для того чтобы пропустить пункт и оставить его пустым введите: _")
new_contact = Contact("", "", "", ""... | NAS371/contactListTestWork | Program.py | Program.py | py | 5,649 | python | ru | code | 0 | github-code | 6 |
19240299148 |
import numpy as np
import torch
import random
import time
smp = torch.nn.Softmax(dim=0)
smt = torch.nn.Softmax(dim=1)
def get_T_global_min(args, record, max_step = None, T0 = None, p0 = None, lr = 0.1, NumTest = None, all_point_cnt = 15000):
if max_step is None:
max_step = args.max_iter
if NumTest... | UCSC-REAL/fair-eval | hoc.py | hoc.py | py | 7,838 | python | en | code | 5 | github-code | 6 |
32995735130 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
## We'll be doing this from scratch, so all imports will come from
## the Python standard library or 3rd-party tools
import socket
import struct
import base64
import json
import hashlib
import time
import enum
import xml.etree.ElementTree as ET
from enum import Enum
i... | irods/iRODS-Protocol-Cookbook | iRODS Protocol Cookbook.py | iRODS Protocol Cookbook.py | py | 35,966 | python | en | code | 1 | github-code | 6 |
26112361495 | __authors__ = ["V. Valls"]
__license__ = "MIT"
__date__ = "14/02/2018"
import enum
import logging
from silx.gui import qt
from silx.gui.dialog.ImageFileDialog import ImageFileDialog
from silx.gui.dialog.DataFileDialog import DataFileDialog
import silx.io
logging.basicConfig()
class Mode(enum.Enum):
DEFAULT_FIL... | silx-kit/silx | examples/fileDialog.py | fileDialog.py | py | 7,386 | python | en | code | 106 | github-code | 6 |
859547914 | from vistrails.core.modules.module_descriptor import ModuleDescriptor
from vistrails.core.modules.vistrails_module import Module
from vistrails.core.upgradeworkflow import UpgradeModuleRemap
class Y(Module):
_output_ports = [('result', 'basic:String')]
def compute(self):
self.set_output('result', 'Y'... | VisTrails/VisTrails | vistrails/tests/resources/looping_upgrades/pkg_y/init.py | init.py | py | 727 | python | en | code | 100 | github-code | 6 |
72173805309 | # coding: utf-8
'''
Ex Dict & Files: 1
Načti data ze souboru 'TopTen.txt':
-- Artist -- | -- Single -- | -- Weeks --
Ezra George | Green Green Grass | 14
Styles Harry | As It Was | 37
Capaldi Lewis | Forget Me | 12
^^-- EOF --^^
a vytvoř nový soubor 'TopTen_sorted.txt' s údaji
setříděné podle počtu týdnů v TopTen od n... | Alesator/python_skoleni | src/ex02_01.py | ex02_01.py | py | 1,095 | python | cs | code | 0 | github-code | 6 |
9988571316 | import websockets, json, traceback, os, asyncio, inspect, logging
import websockets.client
import websockets.server
from websockets.exceptions import ConnectionClosedOK, ConnectionClosedError
from .client_management.client import Client
from .session_management.client_state import Client_State
from .inventory_manage... | colinhartigan/valorant-inventory-manager | server/src/server.py | server.py | py | 5,848 | python | en | code | 150 | github-code | 6 |
14408997276 | from announcement.models import AnnouncementModel
from UslugiProfi.utils import create_file_absolute_url
from rest_framework import serializers
class GetAnnouncementsSeriaizer(serializers.ModelSerializer):
image = serializers.SerializerMethodField()
class Meta:
model = AnnouncementModel
field... | Johudo-old/UslugiProfi | announcement/serializers.py | serializers.py | py | 1,075 | python | en | code | 0 | github-code | 6 |
29732186780 | import numpy
import random
def eval_proportion_diff(model1_pos, model2_pos, model1_samples, model2_samples, num_trials=10000, verbose=False):
'''compare proportion of positively predicted samples between two models'''
model1_values = numpy.zeros((model1_samples))
model1_values[:model1_pos] = 1
model... | roemmele/narrative-prediction | analysis/stats.py | stats.py | py | 3,425 | python | en | code | 24 | github-code | 6 |
27944232660 | """
This modules defines the base class for all machine learning models to analyse
reusability rate.
Last updated: MB 29/08/2020 - created module.
"""
# import external libraries.
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import scipy.stats as stats
from sklearn.model... | reusability/research | model/base_model.py | base_model.py | py | 5,759 | python | en | code | 1 | github-code | 6 |
38043415332 | def revisescore(wrongscores):
rightscores = [] # 建立一個空列表，用於儲存修正後的成績
for i in wrongscores:
# 將十位數和個位數互換，然後添加到正確成績列表中
units = i // 10
tens = i % 10
revisescore = tens * 10 + units
rightscores.append(revisescore)
return rightscores
# 輸入錯誤的成績列表
wrongscore... | 7553yn/Cathybank | scores.py | scores.py | py | 571 | python | en | code | 0 | github-code | 6 |
34632215573 | import cv2
import numpy as np
img = cv2.imread('img\\ttt.jpg')
#定义结构元素
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))
#腐蚀图像
eroded = cv2.erode(img, kernel)
cv2.imshow("fs_eroded", eroded)
#膨胀图像
dilated = cv2.dilate(img, kernel)
cv2.imshow("pz_dilated", dilated)
#NumPy定义的结构元素
NpKernel = np.uint8(np.one... | liuyuhua-ha/opencvStudy | opencvStudy/structTest.py | structTest.py | py | 527 | python | en | code | 0 | github-code | 6 |
71432257788 | from jaqsmds.server.repliers.utils import QueryInterpreter as Qi
class SymbolQI(Qi):
def __init__(self, view, *args, **kwargs):
super(SymbolQI, self).__init__(view, *args, primary="symbol", **kwargs)
InstrumentInfo = Qi("jz.instrumentInfo", trans={"inst_type": int, "list_date": int, "status": int}, sor... | cheatm/jaqsmds | jaqsmds/server/repliers/jsets.py | jsets.py | py | 6,039 | python | en | code | 4 | github-code | 6 |
19757717889 | # unit.test_shop.test_shopRepo.py
from unittest.mock import Mock
import tinydb as tdb
from fixtures.shop import ShopFixture, TEMP_SHOPS_TINYDB_TEST_PATH, \
PRODUCTS_URLS_9_VALID_TEST_PATH, PRODUCTS_URLS_TEST_DIR
from shop.shop import Shop
from shop.shopDao import TinyShopDao
from shop.shopRepo import ShopRepo
fro... | dbyte/WebtomatorPublicEdition | tests/unit/test_shop/test_shopRepo.py | test_shopRepo.py | py | 14,072 | python | en | code | 0 | github-code | 6 |
17690019803 | #!/usr/bin/env python3
""" Module for view definition """
from flask import Flask, render_template, request
from flask_babel import Babel, _
from typing import Optional
class Config(object):
""" Config class """
# ...
LANGUAGES = ['en', 'fr']
BABEL_DEFAULT_LOCALE = 'en'
BABEL_DEFAULT_TIMEZONE = 'U... | dnjoe96/alx-backend | 0x02-i18n/4-app.py | 4-app.py | py | 1,140 | python | en | code | 0 | github-code | 6 |
41243183736 | from flask import Blueprint, request, jsonify, make_response
from tabledef import Technician
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import update
from tabledef import Technician, Call
import config
# create a query that extracts the information of the table "tech... | fmauri90/call_center | dataservice/api_technician_company.py | api_technician_company.py | py | 8,617 | python | en | code | 0 | github-code | 6 |
23796575414 | from fish import Fish
class FishTracker:
def __init__(self, initial_fish):
self.fishies = [
Fish(timer)
for timer in initial_fish
]
self.days_past = 0
def pass_day(self):
self.spawn_fishies()
for fish in self.fishies:
fish.age()
... | maariaw/advent-of-code-2021 | Day06/puzzle1/src/fish_tracker.py | fish_tracker.py | py | 964 | python | en | code | 0 | github-code | 6 |
8631452934 | import pytest
import numpy as np
from abito.lib.significance import *
def test_t_test():
np.random.seed(0)
treatment = np.random.normal(100, size=100)
control = np.random.normal(100, size=100)
r = t_test(treatment, control)
assert r.p_value == pytest.approx(0.9, 0.1)
r = t_test_1samp(treatmen... | avito-tech/abito | tests/test_significance.py | test_significance.py | py | 376 | python | en | code | 14 | github-code | 6 |
11626980377 | import pandas as pd
import json
from message_reader import start
# setting up config file
input_file = "input.csv"
output_file = "out.csv"
json_file = "var_old.json"
# reading input file & sheet
df = pd.read_csv(input_file, header=None)
final_written = None
def to_every_message(row):
global final_written
c... | EhtishamSabir/json_parser | main_csv.py | main_csv.py | py | 1,053 | python | en | code | 0 | github-code | 6 |
30786451692 | import unittest
from unittest.mock import Mock
from book.book_repository import BookRepository
from book.book import Book
from book.book_service import BookService
class TestBookService(unittest.TestCase):
def test_find_book_by_id(self):
mock_repository = Mock(spec=BookRepository)
mock_repository... | nadia3373/Tests | s4/book_tests/test.py | test.py | py | 1,059 | python | en | code | 0 | github-code | 6 |
70713803388 | import re
import os
import sys
import time
import json
import torch
import wandb
import random
import datasets
import evaluate
import numpy as np
import transformers
from accelerate import Accelerator
from accelerate.utils import set_seed
from torch.utils.data import DataLoader
from transformers import AutoTokenizer, D... | JesseBrons/Webpageclassification | training/train_model_BERT.py | train_model_BERT.py | py | 5,845 | python | en | code | 1 | github-code | 6 |
43269450493 | from django.conf.urls import include, url
from provisioner.views import ProvisionStatus, login
urlpatterns = [
url(r'^$', ProvisionStatus, name='home'),
url(r'login.*', login),
url(r'^events/', include('events.urls')),
url(r'^provisioner/', include('provisioner.urls')),
]
| uw-it-aca/msca-provisioner | msca_provisioner/urls.py | urls.py | py | 291 | python | en | code | 1 | github-code | 6 |
6969788756 | import os
import re
from PIL import Image
import numpy as np
import torch
import random
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
from torchvision.datasets.folder import default_loader
class Celeb(Dataset):
def __init__(self, data_file, dst_path='cropped_... | ada-shen/icCNN | celeb.py | celeb.py | py | 3,923 | python | en | code | 18 | github-code | 6 |
8861910661 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Esteban Quintana
# Javier Rodríguez
# Tree
#id3
# Information gain
# Greater gain
import re
import fileinput
import math
import copy
from node import Node
from main import *
def get_entropy(node, root, data_types):
entropies = []
entropy = 0.0
denominator... | JRC2307/Desicion-Trees | id3.py | id3.py | py | 3,181 | python | en | code | 0 | github-code | 6 |
11801518455 | def magic_square(matrix):
n = len(matrix)
M = (n * (n * 2 + 1)) / 2
l = []
d1 = []
d2 = []
for i in range(0, len(matrix)):
l.append([item[i] for item in matrix])
d1.append(matrix[i][i])
d2.append(matrix[i][n - 1 - i])
l = matrix + l + [d1] + [d2]
l = list(map(lam... | TsvetaKandilarova/Programming101 | week0/Problem33/solution.py | solution.py | py | 373 | python | ko | code | 0 | github-code | 6 |
1406414263 | #String Methods
trek= "ncc 1701-d"
a= "the prime directive"
#using split method
a= a.split()
print(a)
# using join method result will be the_prime_directive
a = "_".join(a)
print(a)
# create a small string
lilstring = "Alta3 Research offers classes on Python coding"
newlist= lilstring.split(" ")
print(newlist)
# creat... | tapantriv/py06292020 | lab15.py | lab15.py | py | 449 | python | en | code | 0 | github-code | 6 |
39403565414 | from functools import partial
import mmcv
import numpy as np
import torch
from six.moves import map, zip
def tensor2imgs(tensor, mean=(0, 0, 0), std=(1, 1, 1), to_rgb=True):
"""Convert tensor to images
Args:
tensor (torch.Tensor): Tensor that contains multiple images
mean (tuple[float], opti... | fundamentalvision/Parameterized-AP-Loss | mmdet/core/utils/misc.py | misc.py | py | 5,069 | python | en | code | 48 | github-code | 6 |
40211307735 | from __future__ import division
import sys, os, math
import vtk
from pbrainlib.gtkutils import error_msg, simple_msg, make_option_menu,\
get_num_value, get_num_range, get_two_nums, str2int_or_err,\
OpenSaveSaveAsHBox, ButtonAltLabel
import pickle
from scipy import array, zeros, ones, sort, absolute, sqrt, ... | nipy/pbrain | eegview/mesh_manager.py | mesh_manager.py | py | 2,967 | python | en | code | 94 | github-code | 6 |
1741698512 | import pytest
import numpy as np
import piquasso as pq
import strawberryfields as sf
pytestmark = pytest.mark.benchmark(
group="pure-fock",
)
@pytest.fixture
def theta():
return np.pi / 5
@pytest.fixture
def d():
return 5
@pytest.mark.parametrize("cutoff", range(3, 14))
def piquasso_benchmark(benc... | Budapest-Quantum-Computing-Group/piquasso | benchmarks/purefock_beamsplitter_increasing_cutoff_benchmark.py | purefock_beamsplitter_increasing_cutoff_benchmark.py | py | 1,353 | python | en | code | 19 | github-code | 6 |
32704679818 | from django.urls import path
from .views import *
urlpatterns = [
path('', PostList.as_view(), name="post_list_url"),
path("search/", Search.as_view(), name='search_form_url'),
path("filter/<int:pk>", DateFilter.as_view(), name='date_filter_url'),
path("<slug:category>/", PostList.as_view(), name='post... | djaffic/blog_project | news/urls.py | urls.py | py | 429 | python | en | code | 0 | github-code | 6 |
10251553901 | class Solution:
# TC: O(m * n)
# SC: O(m * n)??
# cp 103 Jun 9 class exercise
def leastBricks(self, wall: List[List[int]]) -> int:
lines = {}
for row in wall:
sum = 0
for brick in row[:-1]:
sum += brick # total number of collision at each col
... | stevenwcliu/leetcode_footprints | 554-brick-wall/554-brick-wall.py | 554-brick-wall.py | py | 536 | python | en | code | 0 | github-code | 6 |
41254672775 | class Solution:
def twoSum(self, nums, target):
"""
:param nums: : List[int]
:param target: : int
:return: -> List[int]
"""
map = dict()
for i in range(len(nums)):
temp = target - nums[i]
if temp in map:
return [map[tem... | baichuan1997/leetcode | 9.两数之和/1.两数之和.py | 1.两数之和.py | py | 378 | python | en | code | 0 | github-code | 6 |
71791729148 | import numpy.linalg as LA
from sklearn.neighbors import KDTree
from sampler import Sampler
import networkx as nx
from shapely.geometry import LineString
def can_connect(p1, p2, polygons):
line = LineString([p1, p2])
for p in polygons:
if p.crosses(line) and p.height >= min(p1[2], p2[2]):
... | magnusja/udacity-flying-cars | FCND-Motion-Planning/prm.py | prm.py | py | 1,063 | python | en | code | 0 | github-code | 6 |
29576976470 | # -*- coding: utf-8 -*-
"""
scikit-learnを用いたサンプルデータ生成
http://overlap.hatenablog.jp/entry/2015/10/08/022246
Created on Wed Jul 11 15:25:41 2018
@author: Akitaka
"""
### classification sample
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn... | nakanishi-akitaka/python2018_backup | 0711/test4_make_sample.py | test4_make_sample.py | py | 1,780 | python | en | code | 5 | github-code | 6 |
33562082348 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
def thresholdingvivas(inp):
f, c = inp.shape
for i in range(f):
for j in range(c):
if(inp[i][j]>=195):
inp[i][j]=0
cv.imshow('vivas',inp)
def thresholdingmuertas(inp):
f, c = inp.sha... | renzovc987/CG | Thresholdingrenzo.py | Thresholdingrenzo.py | py | 1,044 | python | en | code | 0 | github-code | 6 |
26628419049 | import cv2
import numpy as np
import urllib.request
from threading import Thread
import socket
import time
import requests
import json
class Streamer:
'''
description:-
Class responsible for connecting to the anrdroid app and managing the data communication.
How it works:
- every m... | MohamedEshmawy/DeepRoasters | streamer/streamer_v2.py | streamer_v2.py | py | 7,791 | python | en | code | 1 | github-code | 6 |
72577662587 | from dataclasses import dataclass, field
from random import randint
maps = [
"de_anubis",
"de_inferno",
"de_ancient",
"de_mirage",
"de_nuke",
"de_overpass",
"de_vertigo",
]
@dataclass(frozen=True)
class Defaultsettings:
"""Sets basic match information. You can override the number of m... | Rogris/get5matchgen | tools.py | tools.py | py | 2,036 | python | en | code | 1 | github-code | 6 |
73839717628 | from asyncio import sleep, run
import os
import random
from dotenv import load_dotenv
import discord
from discord.ext import commands, tasks
import data
from table2ascii import table2ascii as t2a, PresetStyle
import asyncpg
from datetime import datetime, timedelta
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
in... | NexhmedinQ/Discord-Finance-Bot | bot.py | bot.py | py | 6,920 | python | en | code | 0 | github-code | 6 |
30367946761 | import numpy as np
from chaco.api import ArrayPlotData, Plot
from enable.api import ComponentEditor
from traits.api import Array, HasStrictTraits, Instance, Range, on_trait_change
from traitsui.api import Item, VGroup, View
class PowerFunctionExample(HasStrictTraits):
""" Display a plot of a power function. """
... | enthought/chaco | examples/user_guide/power_function_example.py | power_function_example.py | py | 2,379 | python | en | code | 286 | github-code | 6 |
5708829851 | import rename_tool
import torch
import torchaudio
from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts import Xtts
import os
current_dir = os.getcwd()
config_path = os.path.join(current_dir, "source", "model_v2", "config.json")
checkpoint_dir = os.path.join(current_dir, "source", "model_V2")
co... | douhaohaode/xtts_v2 | tts_v2.py | tts_v2.py | py | 1,627 | python | en | code | 16 | github-code | 6 |
7212182080 | import torch
from torch import nn
from tqdm.auto import tqdm
from torchvision import transforms
from torchvision.utils import make_grid
from torch.utils.data import DataLoader
import matplotlib.pyplot as plt
#
import glob
import random
import os
from torch.utils.data import Dataset
from PIL import Image
#filesize
impor... | Zefyrus94/GAN_test | cyclegan.py | cyclegan.py | py | 25,719 | python | en | code | 1 | github-code | 6 |
32483752873 | import torch
import torch.nn as nn
from mmdet.models import ResNet, FPN, MobileNetV2
import torch.nn.functional as F
from common import default_conv, ResBlock, BasicBlock
class MCNN(nn.Module):
'''
Implementation of Multi-column CNN for crowd counting
'''
def __init__(self, load_weights=False):
... | johnran103/mmdet | scale_map_net/s_net.py | s_net.py | py | 9,667 | python | en | code | 1 | github-code | 6 |
36459683211 | def sockMerchant(n, ar):
# Write your code here
ar=sorted(ar)
set_elm =set(ar)
aa =list(set_elm)
c=[]
for i in range(len(aa)):
c.append(ar.count(aa[i]))
cres=[i//2 for i in c]
return sum(cres)
| Nowshin021/HackerRank-Interview | Sales_by_Match.py | Sales_by_Match.py | py | 253 | python | en | code | 0 | github-code | 6 |
22451204128 |
"""
@author: Krystof Bogar
dvéře
"""
def condition(a, b):
"""
podminka sousedu
"""
return a[-1] == b[0]
def solve_key(words):
"""
resi ulohu s predzarovnym polem
"""
if len(words) == 2:
return condition(words[0], words[1])
elif len(words)>1:
for word in words[1:]:
... | kbogi/pjp | cv06/doors.py | doors.py | py | 2,242 | python | en | code | 0 | github-code | 6 |
16119619384 | N = int(input())
volume = list(map(int, input().split()))
volume.sort(reverse=True)
result = volume[0]
for i in range(1, N):
result += volume[i] / 2
print("%g" %result) # 의미없는 소수점 제거를 위해 | sujeong11/Algorithm | 그리디/20115.py | 20115.py | py | 217 | python | ko | code | 0 | github-code | 6 |
20426895808 | import matplotlib.pyplot as plt
import seaborn as sns
color_list = sns.color_palette('deep') + sns.color_palette('bright')
def DrawDoubleYLines(x, y1, y2, xlabel='', ylabel=['', ''], legend=['', ''], store_path=''):
'''
Draw the doulbe y-axis lines.
:param x: The vector of the x axis.
:param y1: The ve... | salan668/FAE | BC/Visualization/DrawDoubleLines.py | DrawDoubleLines.py | py | 1,322 | python | en | code | 121 | github-code | 6 |
37228942399 | #!/usr/bin/env python3
import argparse
import bids
from bids import BIDSLayout
import os
from pathlib import Path
def _filter_pybids_none_any(dct):
import bids
return {
k: bids.layout.Query.NONE
if v is None
else (bids.layout.Query.ANY if v == "*" else v)
for k, v in dct.items()... | ftdc-picsl/pmacsPreps | bin/bidsFilterTest.py | bidsFilterTest.py | py | 4,368 | python | en | code | 0 | github-code | 6 |
5361852132 | from kivy.app import App
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
import wikipedia
from urllib import request
Builder.load_file(filename="search.kv")
class FirstScreen(Screen):
def get_img_link(self):
# get user search
query = self.manager.current_scre... | mido-99/Advanded-OOP | App-4-Webcam-Photo-Sharer/main.py | main.py | py | 4,504 | python | en | code | 0 | github-code | 6 |
26676860635 | from flask import Flask, render_template, request, redirect
from flask_wtf import FlaskForm
from wtforms import StringField, HiddenField, RadioField
from wtforms.validators import Length, ValidationError
import phonenumbers
import random
import json
import os
app = Flask(__name__)
app.secret_key = 'Secret!'
hours = {... | maksimKnz/flask-project2 | app.py | app.py | py | 6,791 | python | en | code | 0 | github-code | 6 |
32102854189 | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
if not head or not head.next:
return None
slow, fast = head, head
while fast and fast.next:
slow = slow.next
... | Eleanoryuyuyu/LeetCode | 字节跳动/链表与树/环形链表 II.py | 环形链表 II.py | py | 760 | python | en | code | 3 | github-code | 6 |
72602213309 | class Solution:
def findOccurrences(self, text, first, second):
text_list = text.split()
res = []
for i in range(len(text_list)-2):
if text_list[i] == first and text_list[i+1] == second:
res.append(text_list[i+2])
return res
if __name__ == "__main__":
... | CodingBuye/PythonForLeetcode | Easy/1078.Occurrences After Bigram.py | 1078.Occurrences After Bigram.py | py | 460 | python | en | code | 0 | github-code | 6 |
15166780973 | #!/usr/bin/python3
if __name__ == "__main__":
import sys
from calculator_1 import div, mul, add, sub
if len(sys.argv) != 4:
print("Usage: ./100-my_calculator.py <a> <operator> <b>")
exit(1)
op_list = {'+': "add", '-':"sub", '/':"div", '*':"mul"}
if sys.argv[2] not in list(op_list.key... | AhmedNewiry/alx-higher_level_programming | 0x02-python-import_modules/100-my_calculator.py | 100-my_calculator.py | py | 538 | python | en | code | 0 | github-code | 6 |
19739382962 | import json
import mechanize
import sys
import logging
import time
import urllib
from constants import *
from excepciones import *
from imagen import *
from datetime import date, timedelta
from termcolor import colored
logger = logging.getLogger(__name__)
class Browser(object):
def __init__(self, config, login=T... | adrianlzt/ingdirect_cli | browser.py | browser.py | py | 20,033 | python | en | code | 0 | github-code | 6 |
21276871246 | import mindspore as ms
import numpy as np
from mindspore import Parameter, Tensor
from mindspore.ops import operations as P
from mindspore_rl.agent import Trainer, trainer
class QMIXTrainer(Trainer):
"""
This is the trainer class of QMIX, which provides the logic of this algorithm.
"""
def __init__... | mindspore-lab/mindrl | mindspore_rl/algorithm/qmix/qmix_mpe_trainer.py | qmix_mpe_trainer.py | py | 5,690 | python | en | code | 21 | github-code | 6 |
7725885886 | import pandas as pd
from sqlalchemy import create_engine
from influxdb import InfluxDBClient
import time
def connectSQL():
connection_str = 'mssql+pyodbc://royg:Welcome1@SCADA'
engine = create_engine(connection_str)
conn = engine.connect()
return conn
def getData(conn,interval):
if (interval==1):... | thongnbui/MIDS_251_project | python code/SendToInflux.py | SendToInflux.py | py | 2,797 | python | en | code | 0 | github-code | 6 |
2298089969 | import concurrent.futures
from datetime import datetime
import pymongo as pmg
import os
import uuid
from dotenv import load_dotenv
load_dotenv()
import pytz
tz_ind = pytz.timezone('Asia/Kolkata')
now = datetime.now(tz_ind)
class Logit:
"""
logger class
use this class to log the execution of the program.
... | sanjeevan121/ecommerce | logger/logit.py | logit.py | py | 3,100 | python | en | code | 1 | github-code | 6 |
71749351229 | from json import loads
from kafka import KafkaConsumer
consumer = KafkaConsumer(
'test-topic',
bootstrap_servers=['0.0.0.0:9092'],
auto_offset_reset='earliest',
enable_auto_commit=True,
group_id='test-json-group',
value_deserializer=lambda x: loads(x.decode('utf-8')))
for message in consumer:
... | makseli/kafka-docker-python | consumer-json.py | consumer-json.py | py | 522 | python | en | code | 0 | github-code | 6 |
19521121631 | import socket
import threading
from queue import Queue
import sys
import time
import logging
import json
# pip install PyExecJS
#import execjs
# # 1. 在windows上不需要其他的依赖便可运行execjs， 也可以调用其他的JS环境
# # windows 默认的执行JS的环境
# execjs.get().name
# 返回值： JScript
# # 作者本人的windows上装有Node.js ， 所以返回值不同
# execjs.get().name
# 返回值： Node.... | optimjiang/my_3d_game | comm_with_server.py | comm_with_server.py | py | 8,394 | python | en | code | 0 | github-code | 6 |
1828590890 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Jackson O'Donnell
# jacksonhodonnell@gmail.com
from __future__ import division, print_function
import healpy as hp
import numpy as np
from .beam import r3_channel_beams
from .constants import (ffp8_nu4_central_freqs, ffp8_nu6_central_freqs)
def make_big_R(R4... | jhod0/lgmca_planck_tools | lgmca_planck_tools/planck/fitting.py | fitting.py | py | 4,829 | python | en | code | 0 | github-code | 6 |
10230066135 | from typing import Optional
import tiktoken
from evals.elsuite.ballots.prompts import (
control_chat_prompt,
control_text_template,
manipulation_chat_template,
manipulation_text_template,
text_prompt,
voter_chat_prompt,
voter_text_prompt,
)
from evals.registry import is_chat_model
LOGIT_B... | openai/evals | evals/elsuite/ballots/utils.py | utils.py | py | 3,804 | python | en | code | 12,495 | github-code | 6 |
34346316993 | '''
Exercises of the book "Think python"
13.1.8 Exercise:
'''
# Markov analysis:
#
# 1. Write a program to read a text from a file and perform Markov analysis. The result
# should be a dictionary that maps from prefixes to a collection of possible suffixes.
# The collection might be a list, tuple, or dicti... | LiliiaMykhaliuk/think-python | chapter13/13.1.8.py | 13.1.8.py | py | 5,264 | python | en | code | 0 | github-code | 6 |
3367814266 | from datetime import date
import discord
from discord.utils import get
from commands import automoderation, send_by_bot
from constants import Channels, Members
from init_bot import bot
from utils.format import create_embed
from utils.guild_utils import check_for_beer, find_animated_emoji, get_referenced_author, get_m... | Traus/discord_bot | events/messages.py | messages.py | py | 6,311 | python | en | code | 0 | github-code | 6 |
35416705607 | #-*- coding: utf-8 -*-
from __future__ import print_function
import pandas as pd
from apriori import *
inputfile = 'C:/Users/zhou/Desktop/rrecognized affected infrastructure entities in each news set.xls'
outputfile = 'C:/Users/zhou/Desktop/apriori_rules.xls'
data = pd.read_excel(inputfile, header = None)
... | 0AnonymousSite0/Raw-Data-and-Processing-Details | For Phase 5 Association Rule Learning for IFI chains.py | For Phase 5 Association Rule Learning for IFI chains.py | py | 605 | python | en | code | 2 | github-code | 6 |
32185442685 | import logging
import flask
import time
import signal
import sys
import socket
from flask import Flask
from flask_api import status
from os import environ
from kubernetes import client, config
log = logging.getLogger()
log.addHandler(logging.StreamHandler())
log.setLevel(logging.INFO)
app = Flask(__name__)
try:
... | kiemlicz/util | dockerfiles/experiments/web.py | web.py | py | 1,526 | python | en | code | 20 | github-code | 6 |
1523318864 | """
Given an array arr[] of n integers,
construct a Product Array prod[] (of same size) such
that prod[i] is equal to the product of all the elements of arr[] except arr[i].
Solve it without division operator in O(n) time.
values = [1,2,3,4,5]
output = [120, 60, 40, 30, 24]
asked in cimpress coding round(3)
part o... | kartikwar/programming_practice | dynamic_programming/product_at_index_i.py | product_at_index_i.py | py | 1,015 | python | en | code | 0 | github-code | 6 |
32143586237 | import utils
import requests
import json, sys
from datetime import date, datetime, timedelta
space_key = "SVMC"
# parentTitle = "Project Report - Automatic"
# weeklyPageTitle = "Weekly Project Status Report"
# monthlyPageTitle = "CP Monthly Report"
dailyPageTitle = "Issue Status Tool"
pageUrgentPrjTitle = "Issue Tool... | hoangdt9/hoang | WikiSubmit.py | WikiSubmit.py | py | 11,061 | python | en | code | 0 | github-code | 6 |
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