seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
27188462283 | from collections import deque
import sys
input = sys.stdin.readline
def dfs(s):
visited = [0] * (N + 1)
stack = []
visited[s] = 1
ans_dfs.append(s)
while True:
for w in range(1, N + 1):
if w in connection[s] and visited[w] == 0:
stack.append(s... | Nam4o/Algorithm | 백준/Silver/1260. DFS와 BFS/DFS와 BFS.py | DFS와 BFS.py | py | 1,331 | python | en | code | 1 | github-code | 13 |
13230514965 | # You are given an array A of size N, and a number K. You have to find the sum of all the prime numbers in the array, whose value is strictly lesser than K.
def isPrime(n):
if(n==1):
return False
for i in range(2,n):
if(n%i==0):
return False
return True
tests=int(input())
for i in range(test... | muskaan190/Python-Codes | Sum Of Files.py | Sum Of Files.py | py | 515 | python | en | code | 1 | github-code | 13 |
7733836214 | import tensorflow as tf
tf.compat.v1.disable_eager_execution()
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
import logging
import os
import numpy as np
import pandas as pd
pd.options.mode.chained_assignment = None
import json
import random
from collections import defaultdict
# import s3fs
import h... | AI4EPS/PhaseNet | phasenet/data_reader.py | data_reader.py | py | 40,501 | python | en | code | 190 | github-code | 13 |
5845511 | import pytest
from django.shortcuts import get_object_or_404
from django.urls import reverse
from pytest_django.asserts import assertTemplateUsed
from apps.notes.models import Note
# This flags all tests in the file as needing database access
# Once setup, the database is cached to be used for all subsequent tests
# ... | jamescrg/minhome | apps/notes/tests/test_notes.py | test_notes.py | py | 2,864 | python | en | code | 0 | github-code | 13 |
16131472923 | from gazpacho import get
url = "https://en.wikipedia.org/wiki/Gazpacho"
html = get(url)
print(html[:50], "\n\n")
# get, with optional params
url = "https://httpbin.org/anything"
html2 = get(
url, params={"foo": "bar", "bar": "baz"}, headers={"User-Agent": "gazpacho"}
)
print(html2, "\n\n")
| udhayprakash/PythonMaterial | python3/16_Web_Services/d_web_scraping/c_gazpacho/b_get_data.py | b_get_data.py | py | 297 | python | en | code | 7 | github-code | 13 |
2097272083 | from logging import root
import functools
from typing import List
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
class Solution:
def preorder(self, root: 'Node') -> List[int]:
return (root and [root.val] + func... | atlanmatrix/Algorithm-Py3 | leetcode/_589_n_ary_tree_preorder_traversal.py | _589_n_ary_tree_preorder_traversal.py | py | 419 | python | en | code | 0 | github-code | 13 |
855234526 | import unittest
from httmock import all_requests, HTTMock
from apihelper import Api
url = 'http://cool-site.com'
@all_requests
def response_content(url, request):
if request.method == 'GET':
return get_response
elif request.method == 'POST':
return post_response
elif request.method == 'HEA... | naiyt/api-wrapper-helper | test.py | test.py | py | 4,446 | python | en | code | 0 | github-code | 13 |
69850294419 |
"""
Proszę zaimplementować algorytm Prima
"""
from queue import PriorityQueue
import sys
def Prim(g):
n=len(g)
parent=[None]*n
dist=[sys.maxsize]*n
dist[0]=0
q=PriorityQueue()
q.put((0,0))
taken=[False]*n
taken[0]=True
while not q.empty():
d,u=q.get()
taken[u]=Tru... | rogzan/ASD | graphs/019 - MST Prim.py | 019 - MST Prim.py | py | 805 | python | en | code | 0 | github-code | 13 |
28441641829 | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.utils.data
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
class FNN(nn.Module):
def __init__(self, d, n):
super(FNN, self).__init__()
self.d = d
... | hsack6/BMNN_exp | FNN/model.py | model.py | py | 1,459 | python | en | code | 0 | github-code | 13 |
636965235 | from abc import ABC, abstractmethod
from exceptions import NoPatientInLineException, LogNotFoundException
class BaseController(ABC):
@abstractmethod
def __init__(self, view, controller=None):
self.__view = view
self.__controller = controller
def open_view(self, options: dict):
se... | p-schlickmann/hospital | controller/base_controller.py | base_controller.py | py | 1,040 | python | en | code | 0 | github-code | 13 |
29523441465 | import re
import urllib.parse
import logging
import ijson
import json
import sqlite3
from helpers import *
BASE_PATH = 'parsed'
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(message)s',
handlers=[logging.FileHandler("logs/parser.log"),
... | in-rolls/ration_bihar | scripts/parser/main.py | main.py | py | 6,412 | python | en | code | 1 | github-code | 13 |
12861196800 | import os
import random
from kivy.clock import Clock
from kivy.uix.anchorlayout import AnchorLayout
from kivy.graphics.context_instructions import Color
from kivy.graphics.vertex_instructions import Rectangle
from kivy.uix.button import Button
from kivy.uix.gridlayout import GridLayout
from kivy.uix.widget import Widg... | brainnotincluded/kivy_puzzle | widgets.py | widgets.py | py | 6,697 | python | en | code | 0 | github-code | 13 |
71412266579 | #! /usr/bin/python
import feedparser
name = 'FML'
desc = 'Display FML entries'
types = ['PUBMSG']
fml_url = 'http://feedpress.me/fmylife'
def FetchFreshEntries():
feed = feedparser.parse(fml_url)
entries = feed.entries
entries.reverse()
return entries
def init(server, storage):
storage[name] = {'entries':... | IsaacG/python-projects | ircbot/FML.py | FML.py | py | 1,494 | python | en | code | 3 | github-code | 13 |
29028018869 | import os
import pandas
###########################################################################
# Take HIVE1314 data, aggregate same birth year, get average pre and post Texas titer
firstY = 1937
lastY = 1999
### read hive data
hivefName = os.path.normpath("../data/HIVE1314.CSV")
hiveoutfName = os.path.normpath(... | kangchonsara/HIVE1314 | src/serology_similarity.py | serology_similarity.py | py | 3,715 | python | en | code | 0 | github-code | 13 |
24631474610 | """
The module and class MXKarma is the communication between the API and the Karma class.
"""
import datetime
from pyplanet.contrib.setting import Setting
from pyplanet.apps.contrib.karma.mxkarmaapi import MXKarmaApi
class MXKarma:
"""
The MX Karma sub-app of the Karma app.
"""
def __init__(self, app):
self... | 15009199/PyPlanet-F8-F9-rebind | pyplanet/apps/contrib/karma/mxkarma.py | mxkarma.py | py | 5,515 | python | en | code | null | github-code | 13 |
34076476185 | from brownie import accounts, Disgufu
REQUIRED_CONFIRMATIONS = 2
admin = accounts.load('p7m')
def tx_params(gas_limit: int = None):
return {
"from": admin,
"required_confs": REQUIRED_CONFIRMATIONS,
"gas_limit": gas_limit
}
def main():
digufu = Disgufu.deploy(10, tx_params())
| perpetuum7/tx-flex-contracts | scripts/deploy.py | deploy.py | py | 318 | python | en | code | 0 | github-code | 13 |
8480954124 | import sys
sys.stdin = open("피시방 알바_input.txt")
N = int(input()) # 손님 수
A = list(map(int, input().split())) # 앉으려는 자리
x = len(list(set(A))) # 앉으려는 자리 중복 제거 후 갯수
print(N-x) # 손님 수 빼기 앉으려는 자리 중복 제거 후 갯수
print(x) | kimheekimhee/TIL | python/20220808/피시방 알바.py | 피시방 알바.py | py | 304 | python | ko | code | 1 | github-code | 13 |
39110039342 | import os
import json
import tensorflow as tf
import numpy as np
from run_scripts.run_sweep import run_sweep_serial
from asynch_mb.utils.utils import set_seed, ClassEncoder
from asynch_mb.baselines.linear_baseline import LinearFeatureBaseline
from asynch_mb.envs.mb_envs import *
from asynch_mb.envs.normalized_env impor... | zzyunzhi/asynch-mb | run_scripts/sequential_exp/trpo_run_sweep.py | trpo_run_sweep.py | py | 3,531 | python | en | code | 12 | github-code | 13 |
21580463356 | from ietf.settings import * # pyflakes:ignore
ALLOWED_HOSTS = ['*']
DATABASES = {
'default': {
'HOST': 'db',
'PORT': 3306,
'NAME': 'ietf_utf8',
'ENGINE': 'django.db.backends.mysql',
'USER': 'django',
'PASSWORD': 'RkTkDPFnKpko... | ietf-tools/old-datatracker-branches | docker/configs/settings_local.py | settings_local.py | py | 1,937 | python | en | code | 5 | github-code | 13 |
42549126241 | # -*-coding:UTF-8-*-
import os
import re
import torch
import scipy.io
import pickle
import numpy as np
import glob
import fnmatch
import torch.utils.data as data
import scipy.misc
from PIL import Image
import cv2
from .transforms import Mytransforms
from .standard_legends import std_legend_lst, idx_MHP
from dataset.fre... | ZJULiHongxin/HRNet-Hand-Pose-Estimation | lib/dataset/MHP_CPMDataset.py | MHP_CPMDataset.py | py | 10,056 | python | en | code | 1 | github-code | 13 |
35658629375 | #!/usr/bin/python3
from wifi import Cell
iface = "wlp2s0"
for cell in Cell.all(iface):
output = "%s\t(%s)\tchannel %d\tsignal %d\tmode %s " % \
(cell.ssid, cell.address, cell.channel, cell.signal, cell.mode)
if cell.encrypted:
output += "(%s)" % (cell.encryption_type.upper(),)
else:
... | balle/python-network-hacks | wlan-scanner.py | wlan-scanner.py | py | 367 | python | en | code | 135 | github-code | 13 |
31900734349 | ##################
# django imports #
##################
from django.urls import path, include
##########################################
# import modules from current directory #
##########################################
from . import views
from accounts import views as AccountViews
#####################
# url p... | rtactayjr/Online-Food-Web-App | merchant/urls.py | urls.py | py | 1,990 | python | en | code | 1 | github-code | 13 |
38002084744 | from tkinter.ttk import Frame, Button
from tkinter_gui.game_state import GameState
class ControlsFrame(Frame):
def __init__(self, game_state: GameState, *args, **kwargs):
super().__init__(*args, **kwargs)
self._game_state = game_state
self.columnconfigure(0, weight=1)
self.column... | Shtepser/chess | tkinter_gui/controls_frame.py | controls_frame.py | py | 595 | python | en | code | 0 | github-code | 13 |
23027885102 | #!/usr/bin/env python3
def split_long_utt(text, maxchars):
parts = []
splits_to_be_made = len(text) // maxchars
while splits_to_be_made > len(parts):
parts.append(text[len(parts)*maxchars:(len(parts)+1)*maxchars])
parts.append(text[len(parts)*maxchars:])
return parts
if __name__ == "__main... | Gastron/omstart-net | preprocessing/split_long_utts.py | split_long_utts.py | py | 823 | python | en | code | 0 | github-code | 13 |
24987991177 | """Container for each experiment, has a dataframe and metadata"""
import os
import re
from datetime import datetime
import traceback
import pandas as pd
from . import _version
class UserData:
def __init__(self, recno=None, datafile=None, runno=1, searchno=1, no_taxa_redistrib=0,
addedby='', in... | malovannaya-lab/gpgrouper | gpgrouper/containers.py | containers.py | py | 6,171 | python | en | code | 6 | github-code | 13 |
72688758417 | class SimpleDate:
def __init__(self, day: int, month: int, year: int):
self._day = day
self._month = month
self._year = year
def __str__(self):
return f"{self._day}.{self._month}.{self._year}"
def __eq__(self, another):
if self._year != another._year :
... | crawwwler/mooc-python | part 10/simple date/src/simple_date.py | simple_date.py | py | 2,300 | python | en | code | 0 | github-code | 13 |
25162623182 | from bs4 import BeautifulSoup
import requests
Title = ""
def tread_spider(page_num):
s=120
while s <= page_num:
url = 'https://sfbay.craigslist.org/search/bia?s=' + str(s)
response = requests.get(url)
plain_responce = response.text
soup = BeautifulSoup(plain_responce)
fo... | tpatil2/Python | Web Crawler/main_crawl.py | main_crawl.py | py | 1,031 | python | en | code | 0 | github-code | 13 |
9520934927 | from __future__ import absolute_import
from django.core.exceptions import ValidationError
from rest_framework import serializers
from silver.api.serializers.common import MeteredFeatureSerializer
from silver.api.serializers.product_codes_serializer import ProductCodeRelatedField
from silver.models import Provider, P... | silverapp/silver | silver/api/serializers/plans_serializer.py | plans_serializer.py | py | 2,413 | python | en | code | 292 | github-code | 13 |
36266986413 | import sqlite3
from random import randint, choice
from faker import Faker
import pandas as pd
conn = sqlite3.connect('social_network.db')
#creating a query to get list of all married couples as asked in the lab
married_couple = """
SELECT person1.name, person2_name, beginning_date
FROM relationships
JOIN p... | kunjthakkar/Lab_008 | Script2.py | Script2.py | py | 709 | python | en | code | 0 | github-code | 13 |
43460315413 | # File: MagicSquare.py
# Description: A n x n matrix that is filled with the numbers 1, 2, 3, ..., n² is a magic square if the sum of the elements in each row, in each column, and in the two diagonals is the same value.
# I just copied the description from the Assignment, not too sure if we create our own or not... | jasoncsonic/CS313E | MagicSquare.py | MagicSquare.py | py | 6,255 | python | en | code | 0 | github-code | 13 |
7318067026 | import matplotlib.pyplot as plt
import pandas as pd
import statsmodels.api as sm
# create some data
#
# N.B. In linear regression, there is a SINGLE y-value for each data point, but there
# may be MULTIPLE x-values, corresponding to the multiple factors that might affect the
# experiment, i.e. y = b_1 * x... | brash99/cpsc250 | Week4_Examples/linear_regression_statsmodels.py | linear_regression_statsmodels.py | py | 1,161 | python | en | code | 1 | github-code | 13 |
32170038212 | '''
UE20CS302 (D Section)
Machine Intelligence
Week 3: Decision Tree Classifier
Mitul Joby
PES2UG20CS199
'''
import numpy as np
'''Calculate the entropy of the enitre dataset'''
# input:pandas_dataframe
# output:int/float
def get_entropy_of_dataset(df):
entropy = 0
colLast = df.columns[-1]
vals = df[colL... | Mitul-Joby/Machine-Intelligence-Lab | Week 3/PES2UG20CS199.py | PES2UG20CS199.py | py | 1,905 | python | en | code | 0 | github-code | 13 |
24289643055 | import numpy as np
import multiprocessing as mt
if __name__ == "__main__":
from voronoi import _voronoi_analysis
else:
import _voronoi_analysis
class VoronoiAnalysis:
"""This class is used to calculate the Voronoi polygon, which can be applied to
estimate the atomic volume. The calculation is conduct... | mushroomfire/mdapy | mdapy/voronoi_analysis.py | voronoi_analysis.py | py | 3,333 | python | en | code | 15 | github-code | 13 |
37385160040 |
import random
import logging
import statistics
import pandas as pd
from src.utils.custom_decorators import time_func
from nltk.sentiment.vader import SentimentIntensityAnalyzer
logger = logging.getLogger(__name__)
class SentimentAnalysis:
@staticmethod
def scale_compound_score(compound_score, text):
... | dstambler17/Social-Media-Post-Stock-Pipeline | src/machine_learning/SentimentAnalysis.py | SentimentAnalysis.py | py | 1,749 | python | en | code | 1 | github-code | 13 |
43508374866 | from dsmpy import root_resources
from dsmpy.event import Event, MomentTensor
from dsmpy.spc.stf import SourceTimeFunction
from obspy import read_events
import numpy as np
import warnings
from datetime import date
import re
import requests
def convert_catalog(cat):
#cat = read_events(root_resources + 'gcmt.ndk')
... | afeborgeaud/dsmpy | dsmpy/utils/cmtcatalog.py | cmtcatalog.py | py | 3,145 | python | en | code | 10 | github-code | 13 |
45034293405 | from book_packer import get_book_data_from_file, sort_books_by_weight, \
sort_books_into_boxes, export_boxes_to_json, extract_book_data, \
Book, Box, OUTPUT_FILE
import unittest
import json
class TestGetBookDataFromFile(unittest.TestCase):
def test_get_book_data_from_file(self):
# Ideally we'd moc... | almosteverywhere/psychic-fortnight | tests/test_book_packer.py | test_book_packer.py | py | 4,619 | python | en | code | 0 | github-code | 13 |
20584305048 | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.db.utils import IntegrityError
from django.utils import timezone
import datetime
from core.models import Address
from order.models import Cart, CartItem, Order, OrderItem, Transaction
from shop.models import Product
class Car... | mejomba/django_shop_m89_final | order/tests/test_model.py | test_model.py | py | 4,104 | python | en | code | 0 | github-code | 13 |
40672619995 | import json
import os
import matplotlib
from matplotlib.backends.backend_pdf import PdfPages
from src.general import create_dir
from sys_config import AL_RES_DIR, RES_DIR, BASE_DIR
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
def read_results_js... | mourga/transformer-uncertainty | src/plotting_al.py | plotting_al.py | py | 17,432 | python | en | code | 37 | github-code | 13 |
19577365615 | import json
from unittest import mock
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase
from companies.tests.factories import fake, UserFactory, CompanyUserFactory
class CompaniesAPITestCase(APITestCase):
@mock.patch('companies.serializers.C... | ktryber/aljex-sync-api | api/companies/tests/views/test_companies.py | test_companies.py | py | 3,010 | python | en | code | 0 | github-code | 13 |
17643823205 | # import subprocess
import os
from argparse import ArgumentParser
script_name = "daily_schedule.py"
code_folder_path = "C:/Users/67311/OneDrive/Reference/bash_functions/schedule_alarm/"
parser = ArgumentParser()
parser.add_argument("-code", help="show code", action = 'store_true')
parser.add_argument("-code_... | CCYChongyanChen/Daily_schedule | daily_schedule2.py | daily_schedule2.py | py | 4,122 | python | en | code | 0 | github-code | 13 |
7328515176 | import os
from turtle import back
import pandas as pd
import numpy as np
from sklearn.linear_model import Perceptron as per
from sklearn.metrics import accuracy_score, mean_squared_error, r2_score
from sklearn import linear_model
from sklearn.decomposition import PCA as pca_reduction
import joblib
class reg:
def ... | OpenXLab-Edu/OpenBaseLab-Edu | BaseML/Regression.py | Regression.py | py | 4,867 | python | en | code | 5 | github-code | 13 |
43227049186 | # Use of booleans and comparision operator
n1 = int(input('enter first number'))
n2 = int(input('enter second number'))
n3 = int(input('enter third number'))
# We will be checking if n1 is greater than n2 and n3 or not
print (n1 > n2 and n1 > n3)
print (n1 > n2 or n1 > n3)
# In the above program we are using co... | mukes137/Python | control flow/day3.py | day3.py | py | 1,219 | python | en | code | 0 | github-code | 13 |
17113643034 | """
reference_mod_md5sum_model.py
===============
"""
from datetime import datetime
import pytz
from sqlalchemy import (Column, ForeignKey, Integer, String, DateTime)
from sqlalchemy.orm import relationship
from agr_literature_service.api.database.base import Base
from sqlalchemy.schema import Index
c... | alliance-genome/agr_literature_service | agr_literature_service/api/models/reference_mod_md5sum_model.py | reference_mod_md5sum_model.py | py | 1,654 | python | en | code | 1 | github-code | 13 |
14758736144 | import json
import os
from Library.core import Database
from Library import constants
import sqlite3
class DAO:
TABLE = None
SCHEMA = None
def __init__(self, database_file_path, volatile=False):
self._database = Database(database_file_path)
self.volatile = volatile
self.database... | joshnic3/StreamGuide | src/Library/data.py | data.py | py | 7,086 | python | en | code | 0 | github-code | 13 |
42725684397 | from __future__ import print_function, absolute_import
import os
import argparse
import time
import matplotlib.pyplot as plt
import torch
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torchvision.datasets as datasets
import _init_paths
from pose import Bar
from pose.utils.lo... | bearpaw/pytorch-pose | example/main.py | main.py | py | 17,704 | python | en | code | 1,087 | github-code | 13 |
25018622208 | import logging
from datetime import timedelta
import voluptuous as vol
import requests
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.helpers.entity import Entity
import homeassistant.helpers.config_validation as cv
from homeassistant.util import Throttle
from requests.exceptions import ... | code-geeker/heweather | custom_components/heweather/sensor.py | sensor.py | py | 12,850 | python | en | code | 0 | github-code | 13 |
41643857939 | from django.conf import settings
from django.conf.urls import patterns, url
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.views.generic.simple import redirect_to
admin.autodiscover()
urlpatterns = patterns('',
# serving static files
(r'^favico... | mattsnider/vet24seven | urls.py | urls.py | py | 1,223 | python | en | code | 0 | github-code | 13 |
39151900935 | from __future__ import print_function
import os.path
import argparse
import numpy as np
import sys
from types import SimpleNamespace
sys.path.insert(0,'..')
from download_owncloud_tray_imgs import download_from_oc
from helpers import get_config
from experiment_runner import ExperimentRunner
from training_ml.pull_labels... | sidguptacode/ML_AT_Interpretation | agglutination-detection/training_ml/get_labels_dist.py | get_labels_dist.py | py | 5,242 | python | en | code | 0 | github-code | 13 |
15478935225 | from flask import request, jsonify
from .. import db
from .models import Homework
def get_all_homeworks():
homework = Homework.query.all()
homework_list = []
for h in homework:
hw = {
"id": h.id,
"homework_name": h.homework_name,
"subject": h.subject,
... | diegorramos84/homeworkheroes-api | homework/controllers.py | controllers.py | py | 2,409 | python | en | code | 0 | github-code | 13 |
20254863438 | from PyQt5 import QtCore, QtGui, QtWidgets
import pandas as pd
def importBtnHandler(self):
self.fromImport = True
data=pd.read_csv('inputs.csv')
r=data.shape[0]
r=int(r)
data.set_index('Jobs',inplace=True)
i=0
j=0
rows = r
self.JobNo.setValue(rows)
#self.previousRows = rows... | ParthPrajapati43/OS-Algorithms | ProcessScheduler/src/Buttons/Import.py | Import.py | py | 3,062 | python | en | code | 7 | github-code | 13 |
12310448785 | from flask import Flask, render_template, request
from flask_paginate import Pagination, get_page_args
from firebase_admin import db
import db_init
import asyncio
import concurrent.futures
import time
pages_ref = db.reference('/pages')
ranks_ref = db.reference('/ranks')
idx_ref = db.reference('/indexes')
app = Flask(... | sharon1160/buscape | app.py | app.py | py | 4,413 | python | en | code | 1 | github-code | 13 |
17055116704 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class KoubeiServindustryNatatoriumWaterqualityUploadModel(object):
def __init__(self):
self._commodity_id = None
self._current_num = None
self._currentnum_update_time = None
... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/KoubeiServindustryNatatoriumWaterqualityUploadModel.py | KoubeiServindustryNatatoriumWaterqualityUploadModel.py | py | 17,237 | python | en | code | 241 | github-code | 13 |
73883149778 | import numpy as np
import matplotlib.pyplot as plt
LR = 0.1
epochs = 6
BATCH_SIZE = 1000
LAMBDA = 1
def accuracy(h, y):
m = y.shape[0]
h[h >= 0.5] = 1
h[h < 0.5] = 0
c = np.zeros(y.shape)
c[y == h] = 1
return c.sum() / m
def shuffle(x, y):
r_indexes = np.arange(len(x))
np.random.shuff... | marianavargas2002/machine-learning-. | regresion_logistica/optimizacion.py | optimizacion.py | py | 3,176 | python | en | code | 0 | github-code | 13 |
26854019865 | import json
import os
import datetime
import jwt
from datetime import timedelta
from conf.base import SPE_CH
def http_response(self, msg, code):
"""
response:
"data":{type1:{},type2:{}} 对象转成的字典,以type为key区分并访问每一行
"code":code
"""
self.write(json.dumps({"data": {"msg": msg, "code... | xiaoyuerova/questionnaireServer | common/commons.py | commons.py | py | 3,356 | python | en | code | 0 | github-code | 13 |
35196067740 | #Conversor de medidas
metro = float(input('DIgite um valor para ser convertido: '))
km = metro / 1000
hec = metro / 100
dam = metro / 10
dm = metro * 10
cm = metro * 100
mm = metro * 1000
print(f' em metro: {metro} \n , em km: {km} \n , em hec {hec} \n , em dam {dam} \n , em dm {dm} \n em cm {cm,} \n em mm {mm}')
| Kaykynog/exercicios_guanabara | exercicios/011.py | 011.py | py | 318 | python | pt | code | 1 | github-code | 13 |
31332668114 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .tile_target_masks import make_target_images_and_loss_masks
class TileObjective(nn.Module):
"""
Args:
- images_to_match - List [ List [ Tensor ] ]:
e.g. [[img0], [img1, img2], ..., [img0, img3]]
A list of l... | ClaartjeBarkhof/roaming-the-black-box | tiling/tile_objective.py | tile_objective.py | py | 9,659 | python | en | code | 0 | github-code | 13 |
70600225937 | import turtle as t
import random as r
import datetime
screen = t.Screen()
screen.setup(height=500, width=600)
t.Turtle(visible=False)
t.up()
t.speed(0)
t.goto(-250, 200)
for i in range(21):
t.write(i)
t.forward(25)
x = -250
t.goto(-250, 200)
t.right(90)
for i in range(21):
for j in range(1... | mark3000-010701/python_base | bt_list_tuple.py | bt_list_tuple.py | py | 1,789 | python | en | code | 0 | github-code | 13 |
24283348455 | import pytest
from models.jellynote import UserId
from persist import users, UpdateError, InsertionError
from datetime import datetime
from random_utils import *
from fixtures import new_user
def test_user_insert():
req = random_user_creation_request()
user = users.insert(req)
assert user is not None
... | whisust/jellynote-backend | tests/test_persist_users.py | test_persist_users.py | py | 2,149 | python | en | code | 1 | github-code | 13 |
7783759926 | #Importing necessary libraries.
import socket
import subprocess
import time
import sys
import pyfiglet
subprocess.call('clear', shell=True)
#Creating a script banner.
Port_Scan_Banner = pyfiglet.figlet_format("PORT SCANNER")
print(Port_Scan_Banner)
time.sleep(1)
#Use of sockets module to take user input and use in ... | H4mm3r0fG0d/ITP270_FALL2022 | ITP270/Python Scripts/Security Scripts/PortScanner.py | PortScanner.py | py | 1,328 | python | en | code | 0 | github-code | 13 |
4766847001 | import sys
import os
from cx_Freeze import setup, Executable
# ADD FILES
files = ['icon.ico','themes/']
# TARGET
target = Executable(
script="main.py",
base="Win32GUI",
icon="icon.ico"
)
# SETUP CX FREEZE
setup(
name = "Prroject Python",
version = "1.0",
description = "XỬ LÝ TÌNH HUỐNG KHUẨN ... | NinhLuong/Emergency-Management-System | XuLyTinhHuongKhanCap/setup.py | setup.py | py | 458 | python | en | code | 0 | github-code | 13 |
12250585520 | """
# Definition for a Node.
class Node:
def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None):
self.val = val
self.left = left
self.right = right
self.next = next
"""
class Solution:
def connect(self, root: 'Node') -> 'Node':
i... | wellslu/LeetCode-Python | medium/Populating_Next_Right_Pointers_in_Each_Node.py | Populating_Next_Right_Pointers_in_Each_Node.py | py | 833 | python | en | code | 3 | github-code | 13 |
8543095907 | '''
时间序列模型：ARIMA
'''
import pandas as pd
import numpy as np
from statsmodels.tsa.stattools import adfuller
from statsmodels.tsa.seasonal import seasonal_decompose
from statsmodels.tsa.stattools import acf, pacf
import statsmodels.tsa.stattools as st
from statsmodels.tsa.arima_model import ARIMA
import statsmodels.api a... | privateEye-zzy/ARIMA | arima.py | arima.py | py | 6,505 | python | en | code | 1 | github-code | 13 |
26562964553 | # pylint: disable=maybe-no-member
import base64
import json
from models import session, ElectionRound, Person, Choice
import api.response_helper as Response
#Helper
def model_as_dict(self):
return {c.name: getattr(self, c.name) for c in self.__table__.columns}
def _get_electionround_by_id(elec_ro... | consultINCode/digitales_Abstimmtool | Backend/api/voteapi.py | voteapi.py | py | 6,455 | python | en | code | 2 | github-code | 13 |
74461853777 | import datetime
from behave import *
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
@when(u'I click on "Sort by" filed')
def step_impl(context):
sort_by = WebDriverWait(context.driver... | LeviSforza/TraWell | TraWell-tests/features/steps/sorting_found_rides.py | sorting_found_rides.py | py | 2,912 | python | en | code | 0 | github-code | 13 |
12880605144 | import pickle
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import string
import pickle
import os
import pickle
import nltk
from nltk import word_tokenize,sent_tokenize
nltk.download('punkt')
nltk.download('stopwords')
os.chdir(here = os.path.dirname(os.path.abspath(__file__)))
pickle_of... | impatientwolf/CSE508_Winter2023_A1_67 | q2.py | q2.py | py | 3,494 | python | en | code | 0 | github-code | 13 |
38240545176 | # coding=utf-8
# 本工具用于紧凑数据库id，使之连续。
# 本工具基本没用，只用于防备出现极端情况。
# 需要安装sqlalchemy
import sys
import os
from sqlalchemy import create_engine
from sqlalchemy import Table, Column, Integer, String, MetaData
from sqlalchemy.sql import select
def doit(src, desc):
# read
engine = create_engine('sqlite://... | animalize/infopi | src/compact_db_id.py | compact_db_id.py | py | 3,173 | python | zh | code | 73 | github-code | 13 |
6660690302 | ###################################################################
## Written by Eli Pugh and Ethan Shen ##
## {epugh}, {ezshen} @stanford.edu ##
## This file contains tools to make computing directed ##
## information faster with matrices. ... | elipugh/directed_information | directed_information/fast_mat_DI.py | fast_mat_DI.py | py | 2,692 | python | en | code | 2 | github-code | 13 |
7524223349 | from django.urls import include, path
from django.conf.urls.static import static
from django.conf import settings
from . import views
app_name = 'opensim-viewer'
urlpatterns = [
# Get list of users.
path("users/", views.UserViewSet.as_view({'get': 'list'}), name="UserViewSet"),
# Get specific model recor... | opensim-org/opensim-viewer | src/backend/backend/backend/urls.py | urls.py | py | 1,840 | python | en | code | 7 | github-code | 13 |
47944432344 | import requests
# import yagmail
from pyquery import PyQuery
from mymodule import stats_word
def stats(url):
response = requests.get(url)
document = PyQuery(response.text)
content = document('#js_content').text()
statList = stats_word.stats_text(content,100)
statString = ''.join(str(i) for i i... | heima2019/selfteaching-python-camp | 19100101/lidong2119/d11_training1.py | d11_training1.py | py | 355 | python | en | code | null | github-code | 13 |
72571426577 | from datetime import datetime
from sqlalchemy import select, and_, func, desc, null
from schema import *
class DBException(Exception):
pass
async def select_or_insert(connection, query_select, field, query_insert, create_if_none=True):
ds = await connection.execute(query_select)
if ds.rowcount:
... | bashkirtsevich/macaque | db_api.py | db_api.py | py | 11,805 | python | en | code | 0 | github-code | 13 |
38058633930 |
"""HARSHAD NUMBER
A number is said to be Harshad if it's exactly divisible by the sum of its digits. Create a function that determines whether a number is a Harshad or not.
Examples: is_harshad(75) ➞ False
7 + 5 = 12 75 is not exactly divisible by 12
is_harshad(171) ➞ True
1 + 7 + 1 = 9 9 exactly divides 171 """
... | unitinguncle/PythonPrograms | HARSHAD NUMBER.py | HARSHAD NUMBER.py | py | 562 | python | en | code | 0 | github-code | 13 |
34241755267 | count=int(input())
words=dict()
for i in range(count):
word=input()
if word not in words:
words.update({word:1})
else:
words[word]= words[word]+1
print(len(words.keys()))
for i in words.values():
print(i,end=' ')
| CodeWithRushi/Hackerrank_Solutions | Collections/Words_Order.py | Words_Order.py | py | 232 | python | en | code | 0 | github-code | 13 |
2074538797 | '''Record data from the API to file. PARTIALLY DEVELOPED / UNTESTED
'''
import os
import io
import glob
import time
import asyncio
from .. import util
import tqdm
# __bind__ = ['store']
import ptgctl
ptgctl.log.setLevel('WARNING')
def tqprint(*a, **kw):
tqdm.tqdm.write(' '.join(map(str, a)), **kw)
class Dis... | VIDA-NYU/ptgctl | ptgctl/tools/local_record.py | local_record.py | py | 6,578 | python | en | code | 0 | github-code | 13 |
26454907353 | from collections import OrderedDict
def ordered_dict(n):
dict_value = OrderedDict()
for i in range(n):
items = input().split()
item_name = " ".join(items[:-1])
item_price = int(items[-1])
if dict_value.get(item_name):
dict_value[item_name] += item_price
else... | Eyakub/Problem-solving | HackerRank/Python/collections_orderDict.py | collections_orderDict.py | py | 510 | python | en | code | 3 | github-code | 13 |
21434509336 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cavern',
fields=[
('id', models.AutoField(verbo... | dlb8685/abstract_caving | game/migrations/0001_initial.py | 0001_initial.py | py | 1,656 | python | en | code | 0 | github-code | 13 |
20891193803 | a = [1234, 'valid', 'ball', 'nice', 'man', 'quick', 123, 'one', 'two', 'alpha', 'alone', 'dark', 'night', 'tiger']
del a[5] # this will delete the 6th item from the list.
print(a)
a = [1234, 'valid', 'ball', 'nice', 'man', 'quick', 123, 'one', 'two', 'alpha', 'alone', 'dark', 'night', 'tiger']
a.remove(123) # thi... | Sayed-Tasif/my-programming-practice | removing items from the list.py | removing items from the list.py | py | 932 | python | en | code | 0 | github-code | 13 |
36725308420 | from selenium import webdriver
from django.test import LiveServerTestCase
from polls.models.question import Question
from polls.models.choice import Choice
from django.contrib.auth.models import User
from django.test.client import Client
from decouple import config
class FrontendTest(LiveServerTestCase):
@classm... | plumest/django-polls | polls/tests/test_client_sites.py | test_client_sites.py | py | 2,749 | python | en | code | 0 | github-code | 13 |
19383465034 | from tkinter import *
import tkinter.messagebox
class Patient:
def __init__(self,name, location, gender, age):
self.name = name
self.location = location
self.gender = gender
self.age = age
self.temperature = 0
self.fever = 0
self.cough = 0
self.vomit ... | KelMHunt/ai-project | PatientExpertSystem/test.py | test.py | py | 6,844 | python | en | code | 0 | github-code | 13 |
27637054757 | from datetime import date, datetime
import time
import math
from wechatpy import WeChatClient
from wechatpy.client.api import WeChatMessage, WeChatTemplate
import requests
import os
import random
today = datetime.now()
#start_date = '2019-08-14'
start_date = '2022-10-31'
ending_date = '2023-07-01'
city0 = 'wuhan'
birt... | Alpha521/wechat | main.py | main.py | py | 4,978 | python | en | code | 0 | github-code | 13 |
70148019857 | import io
import os
from typing import Callable, Optional
import h5py
from PIL import Image
from torch.utils.data import Dataset
from tqdm import tqdm
class H5Dataset(Dataset):
def __init__(
self,
h5_path: str,
transform: Optional[Callable] = None,
):
"""H5 Dataset.
Th... | NJU-LHRS/official-CMID | Pretrain/Dataset/h5_dataset.py | h5_dataset.py | py | 2,896 | python | en | code | 48 | github-code | 13 |
3021704123 | #!/usr/bin/python3
def roman_to_int(roman_string):
"""roman to integer"""
if not isinstance(roman_string, str) or not roman_string:
return 0
roman_num = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
num = 0
prev_value = 0
for symbol in roman_string[::-1]:
va... | JozeSIMAO/alx-higher_level_programming | 0x04-python-more_data_structures/12-roman_to_int.py | 12-roman_to_int.py | py | 488 | python | en | code | 0 | github-code | 13 |
11818081945 | import json
birthday = "C:\\Users\\Banerjea-PC\\Documents\\Python_saved\\birthdays.json"
birthdays_dump = {
'Albert Einstein': '03/14/1879',
'Benjamin Franklin': '01/17/1706',
'Ada Lovelace': '12/10/1815',
'Donald Trump': '06/14/1946',
'Rowan Atkinson': '01/6/1955'}
with open(birthday, 'w') as op... | PranabBandyopadhyay/Tutorial1 | EX34.py | EX34.py | py | 1,274 | python | en | code | 0 | github-code | 13 |
21119246518 | """ Script para variar os octetos de um endereço IP """
""" import subprocess
subprocess.Popen("ssh {user}@{host} {cmd}".format(user=user, host=host, cmd='ls -l'), shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE).communicate()
"""
try:
from os import sep
from os import getenv
from dotenv... | rico2290/generate_octect_ip | ip_address_changer.py | ip_address_changer.py | py | 4,014 | python | en | code | 0 | github-code | 13 |
20052669589 | #!/usr/bin/env python
import cv2
import numpy as np
import rospy
from std_msgs.msg import Int32MultiArray
def send_corners():
result = np.array([])
pub = rospy.Publisher('corner_topic',Int32MultiArray,queue_size = 10)
rospy.init_node('corner_node',anonymous=True)
rate=rospy.Rate(10)
msg=Int32Multi... | Lazar-Wolfe/ARK-CV-Ros-Task | scripts/feature_detector_2.py | feature_detector_2.py | py | 1,400 | python | en | code | 0 | github-code | 13 |
46395003104 | import time
from locust import HttpUser, task, between
class QuickstartUser(HttpUser):
# wait_time = between(1, 5)
@task(3)
def ready(self):
self.client.get("/api/v1/ready")
@task
def microservice(self):
for item_id in range(10):
self.client.get("/api/v1/microservice")... | abnerjacobsen/fastapi-mvc-loguru | locust/test1.py | test1.py | py | 349 | python | en | code | 1 | github-code | 13 |
17143173855 | import scrapy
from conifer.items import ConiferItem
class ConfierSpider(scrapy.Spider):
name = 'conifer'
start_urls = ['http://www.greatplantpicks.org/plantlists/by_plant_type/conifer',]
# def parse(self, response):
# filename = response.url.split("/")[-2] + ".html"
# with open(filename,... | subbuwork/WebScraping_Scrapy | conifer/spiders/conifer_spider.py | conifer_spider.py | py | 920 | python | en | code | 0 | github-code | 13 |
73196056017 | import math
import numpy as np
import os
import pylab
from numpy import linspace
from scipy import pi
plt = pylab.matplotlib.pyplot
mpl = pylab.matplotlib.mpl
import random as rand
zLabel='zlabel'
xLim=False
yLim=False
xLabel='xLabel'
yLabel='yLabel'
xData=[]
yData=[]
zData=[]
xData.append(1)
yData.append(1)
zData.... | kylemede/SMODT | sandbox/pythonSandbox/plotTESTER.py | plotTESTER.py | py | 501 | python | en | code | 0 | github-code | 13 |
16007498700 | import tqdm
import argparse
import numpy as np
import matplotlib.pyplot as plt
import cv2
def save_fig(std):
#std = 0.01
print(std)
center = np.array([0.2, 0.3, 0.8])
height = np.array([0.15, 0.15, 0.23])
def f(x):
return (np.exp(-(x[:, None] - center)**2/0.04) + height).max(axis=-1)
... | haosulab/RPG | solver/exps/misc/draw_gaussian.py | draw_gaussian.py | py | 1,156 | python | en | code | 18 | github-code | 13 |
21794848096 | '''
1. A METHOD FOR FACE DETECTION PERPOSED BY : VIOLA AND JONES
2. Earlist method for realtime object detection
3.
[Postive Image]
+ => [Model Train] => [XML File(Cascade File)]
[Negitive Image]
4. We are going to use PRETRAIN cascade file provide files
5. OpenCV provide some default cascade for ... | 8Bit1Byte/openCV-projects | Face Detection/face-detection.py | face-detection.py | py | 826 | python | en | code | 2 | github-code | 13 |
38637145222 | """Routine for decoding the CIFAR-10 binary file format."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import re
import sys
import tarfile
import numpy as np
from six.moves import urllib
import tensorflow as tf
import os
from datetime import... | fengziyue/Lane-Detection | myeval_class.py | myeval_class.py | py | 25,303 | python | en | code | 13 | github-code | 13 |
17033957164 | from ...backend_config.converters import safe_text_to_bool
from ...backend_config.environment import EnvEntry
ENV_HOST = EnvEntry("CLEARML_API_HOST", "TRAINS_API_HOST")
ENV_WEB_HOST = EnvEntry("CLEARML_WEB_HOST", "TRAINS_WEB_HOST")
ENV_FILES_HOST = EnvEntry("CLEARML_FILES_HOST", "TRAINS_FILES_HOST")
ENV_ACCESS_KEY = ... | allegroai/clearml-agent | clearml_agent/backend_api/session/defs.py | defs.py | py | 1,963 | python | en | code | 205 | github-code | 13 |
42926603186 | from django.shortcuts import render
from django.shortcuts import HttpResponse
from site_youwu.models import Album
from site_youwu.models import Star
from .view_common import paging
from .view_common import getAlbumPageUrl
from .view_common import recommend
from .view_common import recom_albums
from .view_common import ... | youwu360/youwu | youwu-src/site_youwu/view_list/view_star.py | view_star.py | py | 2,448 | python | en | code | 0 | github-code | 13 |
17050659374 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class CropsHarvestProgressInfo(object):
def __init__(self):
self._actual_date = None
self._addition_info = None
self._crop_code = None
self._harvest_progress_value = Non... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/CropsHarvestProgressInfo.py | CropsHarvestProgressInfo.py | py | 3,685 | python | en | code | 241 | github-code | 13 |
69970213138 | import discord
import json
import munch
import os
import typing
from dotenv import load_dotenv
from glob import glob
from traceback import format_exception
import colorama as colour
colour.init(autoreset=True)
def loadjson(file: str) -> munch.Munch:
"""Attempts to load a JSON file and returns it as a Munch obje... | ThatOtherAndrew/ThatOtherBot-Old | assets/functions.py | functions.py | py | 7,861 | python | en | code | 0 | github-code | 13 |
11705037488 |
#John O'Neill 01/04/2018
#Euler Problem 5... Finding Lowest common multiple for a range 1-20
#'''Used much of logic from https://www.youtube.com/watch?v=Km36RkQToqo and adjusted some variable inputs based on other knowledge on LCM from other sources'''
# https://stackoverflow.com/questions/147515/least-common-mult... | JohnONeillGMIT/Programming-and-Scripting | ExerciseWeek4.py | ExerciseWeek4.py | py | 863 | python | en | code | 0 | github-code | 13 |
20919769766 | #!/usr/bin/env python3
import itertools
import typing
def validate(numbers:list, index:int, lookback:int=25):
"""
Return true if numbers[index] is the sum of two numbers in the lookback slice
"""
if index >= lookback:
try:
preamble = numbers[index-lookback:index]
number = numbers[index]
return any(list... | colematt/advent-code | 2020/9/day9.py | day9.py | py | 1,503 | python | en | code | 0 | github-code | 13 |
12804905941 | import data_common
appliance_ip = '15.245.131.12'
RACK = 'AR51'
ENC_1 = 'CN754406W7'
ENC_2 = 'CN7544044C'
ENC_3 = 'CN754406WT'
ENCLOSURE_URIS = ['ENC:' + ENC_1, 'ENC:' + ENC_2, 'ENC:' + ENC_3]
frame = 3
# Interconnect Bay Set
IBS = 3
ENC_CLTYPE = data_common.CHLORIDE10
REDUNDANCY = 'AB'
LE = 'LE' + '-' + REDUNDAN... | richa92/Jenkin_Regression_Testing | robo4.2/fusion/tests/wpst_crm/feature_tests/TBIRD/FC_POTASH/data_F117_AR51_ab.py | data_F117_AR51_ab.py | py | 20,021 | python | en | code | 0 | github-code | 13 |
38701156465 | """
Contains classes that provide sets of API views for all models of the project.
"""
from django.db.models import Count
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import status, mixins, viewsets
from rest_framework.decorators import action
from rest_framework.generics import get... | Lalluviadel/interview_quiz | api_rest/api.py | api.py | py | 6,957 | python | en | code | 0 | github-code | 13 |
15247928778 | import json
import os
import rtree
from shapely import geometry
DEFAULT_DATA_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)), "data")
SHAPES_FILE = "shapes.json"
METADATA_FILE = "metadata.json"
cached_country_database = None
class CountryDatabase:
@staticmethod
def load(root_dir = DEFAULT_D... | amhellmund/azure-function-country-query | common/countries.py | countries.py | py | 1,870 | python | en | code | 0 | github-code | 13 |
2167378760 | from typing import Optional, Dict, List
from genie_common.utils import safe_nested_get
from genie_datastores.postgres.models import Artist
from data_collectors.consts.google_consts import RESULTS, ADDRESS_COMPONENTS, TYPES, GEOMETRY, LOCATION, LATITUDE, \
LONGITUDE
from data_collectors.contract import ISerializer... | nirgodin/radio-stations-data-collection | data_collectors/logic/serializers/google_geocoding_response_serializer.py | google_geocoding_response_serializer.py | py | 3,616 | python | en | code | 0 | github-code | 13 |
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