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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
39901615627 | from django.http import HttpResponse, HttpResponseNotAllowed, \
HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.template import loader
from django.contrib import messages
from django.core.urlresolvers import reverse
from django.core.exceptions import ValidationError
from ... | brhoades/sweaters-but-with-peer-reviews | new/views.py | views.py | py | 9,719 | python | en | code | 1 | github-code | 36 |
71335937383 | class Solution:
def permuteUnique(self, nums: List[int]) -> List[List[int]]:
ans = [nums[:]]
def next_perm(nums):
size = len(nums)
index = size - 2
while index >= 0 and nums[index] > nums[index + 1]:
index -= 1
if index == -1:
... | architjee/solutions | Leetcode/permutations II.py | permutations II.py | py | 1,155 | python | en | code | 0 | github-code | 36 |
17123809199 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: GPL-3.0
#
##################################################
# GNU Radio Python Flow Graph
# Title: Gr Baseband Async O
# Generated: Tue Apr 16 11:20:50 2019
# GNU Radio version: 3.7.12.0
##################################################
from... | fmagno/dsp | dsp/transmission_gr38/gr_baseband_async_o.py | gr_baseband_async_o.py | py | 3,933 | python | en | code | 1 | github-code | 36 |
71984366824 | import pandas as pd
from sklearn import metrics
from sklearn import preprocessing
from chapter5 import config
from chapter5 import model_dispatcher
from common import utils
def run(fold):
df = pd.read_csv(config.CENSUS_FILE_FOLDS)
# 目的変数を変換
target_mapping = {"<=50K": 0, ">50K": 1}
df.loc[:, "incom... | YasudaKaito/aaamlp_transcription | project/src/chapter5/census_lbl_xgb.py | census_lbl_xgb.py | py | 1,606 | python | en | code | 0 | github-code | 36 |
38567827389 | '''
542. 01 Matrix
Given a matrix consists of 0 and 1, find the distance of the nearest 0 for each cell.
The distance between two adjacent cells is 1.
Example 1:
Input:
[[0,0,0],
[0,1,0],
[0,0,0]]
Output:
[[0,0,0],
[0,1,0],
[0,0,0]]
Example 2:
Input:
[[0,0,0],
[0,1,0],
[1,1,1]]
Output:
[[0,0,0],
[0,1,0],... | archanakalburgi/Algorithms | Graphs/matrix01.py | matrix01.py | py | 1,343 | python | en | code | 1 | github-code | 36 |
902272609 | from multiprocessing import Process,Queue
import os,time
def write(q):
print('启动写子进程%s' % os.getpid())
for chr in ["A","B","C","D"]:
q.put(chr)
time.sleep(1)
print('结束写子进程%s' % os.getpid())
def read(q):
print('启动读子进程%s'% os.getpid())
while True:
value= q.get(True)
... | hughgo/Python3 | 基础代码/进程/10 进程间通信.py | 10 进程间通信.py | py | 805 | python | en | code | 10 | github-code | 36 |
10598156961 | from openerp import SUPERUSER_ID
from openerp.osv import fields, osv
class service_config_settings(models.TransientModel):
_name = 'service.config.settings'
_inherit = ['sale.config.settings', 'fetchmail.config.settings']
_columns = {
'alias_prefix': fields.char('Default Alias Name for Notificati... | dtorresxp/deltatech | deltatech_service_maintenance/res_config.py | res_config.py | py | 2,336 | python | en | code | 0 | github-code | 36 |
25451901336 | from flask import Blueprint
from marketplace import db, login_required
from marketplace.models import Item, Tag
tag_item = Blueprint('tag_item', __name__)
@tag_item.route('/tag_item/<item_id>/<tag>')
@login_required
def tag_an_item(item_id, tag):
# Get matching item
matching_items = db.session.query(Item).fi... | adicu/marketplace | marketplace/routes/tag_item.py | tag_item.py | py | 1,239 | python | en | code | 3 | github-code | 36 |
10665778183 | import math
import os
from glumpy import glm
from PIL import Image, ImageTk
import numpy
import tkinter
import cv2
def load_image(file_name, size):
image = Image.open(file_name)
image = numpy.array(image)
image = cv2.cvtColor(image, cv2.COLOR_BGRA2BGR)
image = cv2.resize(image, size, interpolation=cv... | chahyon-ku/ImgToChunk | ImgToChunk.py | ImgToChunk.py | py | 14,064 | python | en | code | 0 | github-code | 36 |
352049180 | import os
import sys
import subprocess
import shutil
from args import launch_parse_args
def main():
print("start", __file__)
args = launch_parse_args()
print(args)
visible_devices = args.visible_devices.split(',')
assert os.path.isfile(args.training_script)
assert len(visible_devices) >= args.n... | kungfu-team/mindspore | model_zoo/official/cv/mobilenetv2/src/launch.py | launch.py | py | 1,599 | python | en | code | 3 | github-code | 36 |
4035076126 | def binary_search(array, target, start, end):
while start <= end:
mid = (start + end) // 2
if array[mid] == target:
return mid
elif array[mid] > target:
end = mid - 1
else:
start = mid + 1
return None
def solution(N, items, R, r_items ):
... | kakaocloudschool/dangicodingtest | 006_이진탐색/001_이코테/003_부품찾기_이진탐색.py | 003_부품찾기_이진탐색.py | py | 596 | python | en | code | 0 | github-code | 36 |
37634698673 | from turtle import Turtle, Screen
timmy = Turtle()
print(timmy)
timmy.shape("turtle")
timmy.color("coral")
timmy.forward(100)
myScreen = Screen()
print(myScreen.canvheight) # canvheight() is the height of the turtle screen
print(myScreen.canvwidth)
myScreen.exitonclick() # exitonclick() is used ... | anchalsinghrajput/python | turtle/01 forward.py | 01 forward.py | py | 375 | python | en | code | 0 | github-code | 36 |
35263829572 | #!/usr/bin/env python
# encoding: utf-8
from numpy.distutils.core import setup, Extension
module1 = Extension('_floris', sources=['src/FLORISSE3D/floris.f90', 'src/FLORISSE3D/adStack.c', 'src/FLORISSE3D/adBuffer.f'],
extra_compile_args=['-O2', '-c'])
module2 = Extension('_florisDiscontinuous', sou... | byuflowlab/stanley2018-turbine-design | FLORISSE3D/setup.py | setup.py | py | 1,172 | python | en | code | 1 | github-code | 36 |
25163452547 | #!/usr/bin/env python
import typer
import logging
import os
# logging.basicConfig(level=logging.INFO, format="%(asctime)s %(filename)s: %(levelname)6s %(message)s")
#
# LOG = logging.getLogger(__name__)
from easul.driver import MemoryDriver
app = typer.Typer(help="EASUL tools to manage and extend the abilities of th... | rcfgroup/easul | manage.py | manage.py | py | 1,926 | python | en | code | 1 | github-code | 36 |
9567324814 | import logging
import airflow
from airflow.models import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.dummy_operator import DummyOperator
from utils.slugify import slugify
args = {
'owner': 'airflow',
'start_date': airflow.utils.dates.days_ago(2)
}
categorias = [
... | erikriver/mixtli-etc | dags/03_siem_informacion_empresarial.py | 03_siem_informacion_empresarial.py | py | 2,866 | python | es | code | 2 | github-code | 36 |
35722574041 | from tkinter import Tk, Frame, Button, Text
from tkinter.ttk import Frame, Button
from tkinter.filedialog import askopenfile
class Application():
def __init__(self, root, title):
self.root = root
self.root.title(title)
# Variable that stores file handle (may be unnecessary)
self.fi... | Petetete/Consistent-CSS | consistent-css.py | consistent-css.py | py | 3,060 | python | en | code | 0 | github-code | 36 |
12777874879 | class Underscore:
def map(self, iterable, callback):
for i in range(len(iterable)):
iterable[i] = callback(iterable[i])
return iterable
def find(self, iterable, callback):
for i in range(len(iterable)):
if (callback(iterable[i]) == True):
return i... | Salman-Khatib/All_coding_dojo | python_stack/_python/python_fundementals/UnderScore/Underscore.py | Underscore.py | py | 1,681 | python | en | code | 0 | github-code | 36 |
39133833136 | def solution(a):
a.sort()
if max(a) < 0:
digit = 1
if len(a) == 1:
if a[0] < 1:
digit = 1
else:
digit = a[0] + 1
else:
if a[0] > 0:
for x in range(a[0], a[-1] + 2):
if x not in a:
digit = x
... | briankiume/DemoCodility | DemoCodility.py | DemoCodility.py | py | 647 | python | en | code | 0 | github-code | 36 |
3883658721 |
# =============================================================
# Imports
# =============================================================
import logging
import smtplib
from server.utils import notification
# =============================================================
# Constant
# ==============================... | CaptFrank/EsxiController | server/utils/notification/notificationdispatch.py | notificationdispatch.py | py | 2,687 | python | en | code | 0 | github-code | 36 |
1621435969 | #!/usr/bin/env python
# coding=utf-8
import string, random
class LengthError(ValueError):
def __init__(self, arg):
self.args = arg
def pad_zero_to_left(inputNumString, totalLength):
"""生成后四位主键， 主键数字从0开始递增， 需要保持4位，不足的位置补0"""
lengthInputString = len(inputNumString)
if lengthInputString > totalL... | nbmyt/pythonPractice | 0001/0001v2.py | 0001v2.py | py | 1,187 | python | en | code | 0 | github-code | 36 |
40967939697 | from django.db import models
# null=True, blank=True это значит что данное поле может быть пустым, т.е. аватар не обязателен
NULLABLE = {'blank': True, 'null': True}
class Student(models.Model):
first_name = models.CharField(max_length=150, verbose_name='имя') # обязательно
last_name = models.CharField(max_... | DSulzhits/06_3_20_1_django_ORM | main/models.py | models.py | py | 1,958 | python | ru | code | 0 | github-code | 36 |
448240955 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import numpy as np
import keras
from keras.models import Model
from keras.layers import Dense,Activation,Input
from keras.callbacks import ModelCheckpoint
X = np.random.normal(0,1,(100,8))
Y = np.random.normal(0,1,(100,1))
... | avilin66/Pyspark_codes | keras_basic_model.py | keras_basic_model.py | py | 1,902 | python | en | code | 1 | github-code | 36 |
2940420975 | import datetime
# An object for representing a package to be delivered.
class Package():
def __init__(self, package_id, address, city, state, zip, delivery_deadline, mass, special_notes,
arrival_time="8:00 AM", required_truck=-1, deliver_with=[]):
# an integer which is unique to each packag... | joshsizer/wgu_projects | wgu_data_structures_and_algorithms_2/package.py | package.py | py | 2,855 | python | en | code | 0 | github-code | 36 |
3449169916 | # -*- coding: utf-8 -*-
"""
Módulo ``PreProcWindow``
========================
Implementa uma janela com funcionalidades de pré-processamento dos dados.
.. raw:: html
<hr>
"""
import inspect
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtCore
from framework import file_m2k, file_civa, file_omni... | matheusfdario/role-finder | AUSPEX-smart_wedge/guiqt/Windows/PreProcWindow.py | PreProcWindow.py | py | 10,993 | python | pt | code | 0 | github-code | 36 |
1593524531 | import sqlite3
conn = sqlite3.connect('employee.db')
c = conn.cursor()
# c.execute("""CREATE TABLE employees (
# first text,
# last text,
# pay integer
# )""")
# c.execute("INSERT INTO employees VALUES ('Mary', 'oza', 70000)")
conn.commit()
c.execute("SELECT * FROM employees")
print(c.fetchall())
c... | Parth-Ps/python | sqlite3_database/employees.py | employees.py | py | 347 | python | en | code | 0 | github-code | 36 |
10924502441 | """
版本：2.0
作者：sky
作用：判断密码强度
日期：20181008
"""
class PwdTool:
def __init__(self, pwd):
self.pwd_str = pwd
self.pwdstrength = 0
def check_num(self):
for c in self.pwd_str:
if c.isnumeric():
return True
return False
def check_str(self):
for c... | shenkeyu/panduanmima | trypwd2.0.py | trypwd2.0.py | py | 1,473 | python | en | code | 0 | github-code | 36 |
73434601064 | import pickle
from tqdm import tqdm
import os
import pandas as pd
import numpy as np
from statsmodels.tsa.arima.model import ARIMA
from pmdarima.arima import auto_arima
def arima_model(test_codes, csv_filename, folder_path, n_output):
df = pd.read_csv(csv_filename)
n_output = n_output # output -> forecas... | stergioa/masterThesis4 | src/forecasting_models/trash/test_ARIMA.py | test_ARIMA.py | py | 1,313 | python | en | code | 0 | github-code | 36 |
11171979751 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
#Teht 1
df = pd.read_csv('emp-dep.csv')
df.plot.scatter('age', 'salary')
plt.title('Työntekijät ja palkat')
plt.xlabel('Palkat')
plt.show()
count = df['dname'].value_counts()
#kind barh flips to horizontal
count.plot(kind="bar")
plt.show... | emilsto/Data-analytics-and-machinelearning | week37/t1/t1.py | t1.py | py | 1,019 | python | en | code | 0 | github-code | 36 |
28798444261 | #I pledge my honor that I have abided by the Stevens Honor System.
#Zachary Jones
#HW6 Problem 2
import datetime
def get_date():
date = str(input('Enter date M/D/YYYY: '))
return date
def validate_date(date):
format = '%m/%d/%Y'
try:
datetime.datetime.strptime(date, format)
print('{... | Eric-Wonbin-Sang/CS110Manager | 2020F_hw6_submissions/joneszachary/ZacharyJonesCH7P2.py | ZacharyJonesCH7P2.py | py | 464 | python | en | code | 0 | github-code | 36 |
74318817382 | try:
from urlparse import urljoin
except ImportError:
# python3 compatibility
from urllib.parse import urljoin
from zope.dottedname.resolve import resolve
def get_page_url(skin_name, page_mappings, page_id):
""" Returns the page_url for the given page_id and skin_name """
fallback = '/'
if pag... | davidemoro/pytest-pypom-navigation | pypom_navigation/util.py | util.py | py | 1,916 | python | en | code | 2 | github-code | 36 |
5561659195 | class Node:
def __init__(self,value):
self.value=value
self.next=None
class Queue:
def __init__(self):
self.head=None
self.tail=None
self.no_of_elements=0
def enqueue(self,value):
if self.tail==None:
self.tail=Node(value)
self.head=self.tail
self.no_of_elements=1
else:
node=self.head
whi... | sripriya-potnuru/implementations-of-algorithms-and-datastructures | python/queue/queue_using_linked_list.py | queue_using_linked_list.py | py | 1,443 | python | en | code | 0 | github-code | 36 |
14151407552 | import logging
from datetime import datetime
from pythonjsonlogger import jsonlogger
from src.config import LOG_LEVEL
import os
path = os.path
logger = logging.getLogger()
logHandler = logging.StreamHandler()
fileHandler = logging.FileHandler("logger/journals/log_file.log")
class CustomJsonFormatter(jsonlogger.J... | Safonovdv91/web_gymkhana_bot_server | logger/logger.py | logger.py | py | 1,168 | python | en | code | 1 | github-code | 36 |
22015297058 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 14 12:17:00 2021
@author: paradeisios
"""
import cv2
def get_video_secs(video):
vidcap = cv2.VideoCapture(video)
fps = vidcap.get(cv2.CAP_PROP_FPS)
totalNoFrames = vidcap.get(cv2.CAP_PROP_FRAME_COUNT)
vidcap.release()
return in... | paradeisios/luminance | utils/get_video_secs.py | get_video_secs.py | py | 358 | python | en | code | 0 | github-code | 36 |
25125476 | n, m = map(int, input().split())
nums = sorted(list(map(int, input().split())))
visited = [False] * n
temp = []
def dfs():
if len(temp) == m:
print(*temp)
return
remember_me = 0
for i in range(n):
if not visited[i] and remember_me != nums[i]:
visited[i] = True
... | kmgyu/baekJoonPractice | bruteForce/N과M 시리즈/(9).py | (9).py | py | 685 | python | ko | code | 0 | github-code | 36 |
22354196775 | import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "64d90a1a69bc"
down_revision = "e5594ed3ab53"
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"background_tasks",
... | mlrun/mlrun | server/api/migrations_sqlite/versions/64d90a1a69bc_adding_background_tasks_table.py | 64d90a1a69bc_adding_background_tasks_table.py | py | 1,069 | python | en | code | 1,129 | github-code | 36 |
15361552534 | from conans import ConanFile, CMake
import os
class StringIdConan(ConanFile):
name = "string_id"
version = "2.0-2"
description = "A small C++ library to handle hashed strings serving as identifiers."
license="Modified BSD License (3-Clause BSD license)"
settings = "os", "compiler", "build_type", "arch"
url... | pjohalloran/conan-stringid | conanfile.py | conanfile.py | py | 1,343 | python | en | code | 0 | github-code | 36 |
22024978373 | # Assignment: Draw Stars
# Karen Clark
# 2018-06-04
# Assignment: Stars
# Write the following functions.
# Part I
# Create a function called draw_stars() that takes a list of numbers and
# prints out *.
from __future__ import print_function
from colorama import init, Fore
from termcolor import colored
def draw_sta... | clarkkarenl/codingdojo_python_track | draw-stars.py | draw-stars.py | py | 1,388 | python | en | code | 0 | github-code | 36 |
17102455910 | # https://edabit.com/challenge/xG2KB9T7mHgycGCSz
def valid(pin):
if len(pin) == 4 or len(pin) == 6 and pin.isdigit():
return True
else:
return False
'''print(valid("1234"))
print(valid("45135"))
print(valid("89abc1"))
print(valid("900876"))
print(valid(" 4983"))
print(valid(" "))'''
tests = ... | amrmabdelazeem/edabit | Python/Validate Pin.py | Validate Pin.py | py | 631 | python | en | code | 0 | github-code | 36 |
39005966519 | an = input()
div_idx = len(n) // 2
sum1 = 0
sum2 = 0
for i in range(div_idx):
sum1 += int(n[i])
sum2 += int(n[-(i+1)])
if sum1 == sum2:
print("LUCKY")
else:
print("READY")
| daeyoungshinme/algorithm | 백준/구현/boj18406.py | boj18406.py | py | 190 | python | en | code | 0 | github-code | 36 |
35609284688 | from dataclasses import dataclass
from queue import Empty
import queue
import cv2, time, os
import numpy as np
import torch.multiprocessing as mp
from ..util.profiler import Profiler
from .twitch_realtime_handler import (
TwitchAudioGrabber,
TwitchImageGrabber
)
from .youtube_recoder.image_recoder import Youtu... | gmlwns2000/sharkshark-4k | src/stream/recoder.py | recoder.py | py | 7,577 | python | en | code | 14 | github-code | 36 |
32805043142 | # henlo.py
# created on November 13, 2018
# by Gull
def hello():
fren = str(input("what is your name, friend? ")) #get a name for variable fren
print("hello,", fren, ", and welcome to henlo.py!") #say hello to fren
print("how you doing today?")
hello() #hello!
| gullwv/pyprojects | henlo.py | henlo.py | py | 266 | python | en | code | 1 | github-code | 36 |
36570521283 | import json
import math
import re
import os
import boto
import tinys3
import random
from django.shortcuts import render, redirect
from django.http.response import HttpResponse, HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from django.conf import settings
from django.utils import timez... | MicroPyramid/opensource-job-portal | pjob/views.py | views.py | py | 117,784 | python | en | code | 336 | github-code | 36 |
19996296105 | from django.shortcuts import render, redirect
from django.http import Http404, HttpResponseRedirect
from django.urls import reverse
from .models import Article, Category, ArticleCategoryRelation
from django.utils import timezone
from .forms import UserRegistrationForm
from django.core.paginator import Paginator, PageNo... | osinkel/articles-django | newnotes/views.py | views.py | py | 9,576 | python | en | code | 0 | github-code | 36 |
10650749218 | # This class defines the control data that we want to keep for debugging purposes
class LogDataSet():
def __init__(self):
# sensors' values
self.sensors = LogSensorsData()
# control values
self.control = LogControlData()
def setSensorsValues(self, axes, gyroscopeRate):
# set sensors' values
self.sensors... | antrew/yarapibabot | src/log_data_set.py | log_data_set.py | py | 1,367 | python | en | code | 3 | github-code | 36 |
25124748823 | import numpy as np
class GradientDescentLinearRegression:
def __init__(self, learning_rate=0.01, iterations=1000):
self.learning_rate, self.iterations = learning_rate, iterations
def fit(self, X, y):
b = 0
m = 5
n = X.shape[0]
for _ in range(self.iterations):
... | TanizzCoder/ANN | Gradient_Regression.py | Gradient_Regression.py | py | 1,163 | python | en | code | 1 | github-code | 36 |
21676970380 | #!/usr/bin/python3
# birds{id:{'pos':[x,y], 'ori':[x,y]}}
pos = 'pos'
ori = 'dir'
X = 0
Y = 1
swarmSize = 1
swarm = {1:{pos:[0,0], ori:[0,0]}}
def updatePos(target):
target[pos] = [target[pos][X]+target[ori][X], target[pos][Y]+target[ori][Y]]
for target in swarm:
force = [0,0]
for neighbor in repulsionZone(t... | jamie314159/swarm | swarm.py | swarm.py | py | 745 | python | en | code | 0 | github-code | 36 |
12136530301 | """
This file is meant to optimize the import speed. Import modules from YOLOv7 projects
and Ultralytics take significant amount of time
"""
import glob
import math
import logging
import numpy as np
import os
import re
import time
import urllib
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
from ... | CMPUT-492-W2023-Capstone/cstc-backend-v7 | app/src/module.py | module.py | py | 28,870 | python | en | code | 0 | github-code | 36 |
32952196842 | from django.shortcuts import render, redirect
from kajaki_app.models import Route, Kayak, Order, OrderKayak
from django.urls import reverse, reverse_lazy
from datetime import date
from django.views import View
from kajaki_app.forms import AddKayakForm, AddRouteForm, ContactForm
from django.views.generic import ListView... | KamilNurzynski/Kajaki | kajaki_app/views.py | views.py | py | 4,243 | python | en | code | 0 | github-code | 36 |
2827309329 | ## Program name: sort_fruits.py
## UoPeople CS-1101 December 2015
## Unit 7
## Roger Stillick Jr.
## The purpose of this program is to read a file containing a list of
## fruits, then sort the list and write the sorted list to a new file.
# Set the working directory of the path
wd = '/home/roger/bin/'
#courtesy prom... | RogerStilly/misc_py | sort_fruits.py | sort_fruits.py | py | 1,147 | python | en | code | 0 | github-code | 36 |
34761383240 | import sys, os
import subprocess
import datetime as dt
from random import randint
import argparse
import web3
from web3 import Web3
from web3.middleware import geth_poa_middleware
from eth_utils import decode_hex
# Project modules
import utils
from TextColor.color import bcolors
URL = "http://127.0.0.1:8545"
ACCOUNT_... | acid9reen/bas | car.py | car.py | py | 10,656 | python | en | code | 0 | github-code | 36 |
19892101650 | #Why the fuck am i doing this shit
t = int(input())
while(t > 0):
n = int(input())
see = map(int,input().split(" "))
mods = [0,0,0]
for i in see:
mods[i%3] +=1
ans = min(mods[1],mods[2])
mods[1] -= ans
mods[2] -= ans
#print(mods[1])
#print(mods[2])
print(ans + mods[0] +mods[2]//3 + mods[1]//3)
t-=1
| af-orozcog/competitiveProgramming | CodeForces/div3/1176B.py | 1176B.py | py | 313 | python | en | code | 0 | github-code | 36 |
17582018412 | import sys
import typing as t
import importlib
from pathlib import Path
import pkg_resources
from starwhale.utils import console
from starwhale.utils.venv import (
guess_current_py_env,
get_user_python_sys_paths,
check_python_interpreter_consistency,
)
def import_object(
workdir: t.Union[Path, str],... | star-whale/starwhale | client/starwhale/utils/load.py | load.py | py | 1,988 | python | en | code | 171 | github-code | 36 |
38666222212 | from __future__ import absolute_import
import logging
import string
from zipfile import ZipFile, ZIP_STORED, ZIP_DEFLATED
import re
# py2 vs py3 transition
from ..six import text_type as unicode
from ..six import string_types as basestring
from ..six import ensure_binary
from io import BytesIO
## XML isn't as forgivi... | JimmXinu/FanFicFare | fanficfare/writers/writer_epub.py | writer_epub.py | py | 39,444 | python | en | code | 664 | github-code | 36 |
35564937510 | # iseseisev harjutus 1
# Kristofer Andres
# 08.03.2022
print("tere, maailm!")
aasta = 2020
liblikas = "teelehemosaiikliblikas"
lause_keskosa = ". aasta liblikas on "
lause = str(aasta)+lause_keskosa+liblikas
print(lause)
kõrgus = float(input("sisesta pilve kõrgus kilomeetrites: "))
if kõrgus >= 6:
... | kristoferandres/iseseisvad_ylesanded | iseseisev 1.py | iseseisev 1.py | py | 738 | python | et | code | 0 | github-code | 36 |
27688638873 | """Config file and logging related utility functions."""
import configparser
import json
import os
import sys
from pprint import pprint
import yaml
def read_cfg(location, verbose=True):
"""
Read config file at location using ConfigParser.
Parameters
----------
location : str
Where the con... | seankmartin/PythonUtils | skm_pyutils/config.py | config.py | py | 5,936 | python | en | code | 1 | github-code | 36 |
7168853562 | import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import dash
from app import app
from app import server
from apps.gas_monitoring import gas_app
navBar = dbc.NavbarSimple(
children=[
dbc.NavItem(dbc.NavLink("Home", href="/")),
d... | muntakim1/gas-oil-plant-monitoring | index.py | index.py | py | 2,435 | python | en | code | 0 | github-code | 36 |
20026440341 | from . import utils
import time
from .monitor import PostgresMonitor
__all__ = ['QuerySet', 'query', 'update', 'insert']
key = str(time.time())
async def query(sql):
return await PostgresMonitor.fetch(sql)
async def update(sql):
return await PostgresMonitor.fetch(sql)
async def insert(sql):
return a... | RyanKung/jirachi | jirachi/io/postgres/queryset.py | queryset.py | py | 11,228 | python | en | code | 3 | github-code | 36 |
4860489339 | def chefWar(h,p):
while not p <= 0 or not h <= 0:
if p > 0 and h <= 0:
return 1
if p <= 0 and h > 0:
return 0
else:
h -= p
p /= 2
return h,p
t = int(input())
for _ in range(t):
h, p = map(int, input().split())
print(chefWar(h,p)) | nitesh16s/DS-Algo-Problems | CodeChef/August-Cookoff/chefwars.py | chefwars.py | py | 252 | python | en | code | 0 | github-code | 36 |
31246785423 | import pandas as pd
import scipy.stats as stats
import operator
import numpy as np
from time import sleep as sl
import argparse
from sklearn.metrics import pairwise_distances,pairwise_distances_chunked
from sklearn.cluster import AgglomerativeClustering,DBSCAN
import time
from datetime import timedelta
import... | Adalijuanluo/MGTSEnT | MGTSEnT_MGT9_singlelinkagecluster.py | MGTSEnT_MGT9_singlelinkagecluster.py | py | 24,576 | python | en | code | 0 | github-code | 36 |
37391277878 | # Take a sample of ten phishing emails (or any text files) and find the most common words in them.
# Using Shakespeare's Hamlet as a sample, find the most common words in the sample.
text=""
for i in range(10):
with open("./Files/Hamlet/"+str(i)) as f:
text += f.read()
count = {}
for word in text.split()... | IAteNoodles-Linux/CS_Term2 | Common.py | Common.py | py | 475 | python | en | code | 0 | github-code | 36 |
20890209940 | import os
import glob
import pickle
import logging
import argparse
from multiprocessing import Pool
import numpy as np
import pandas as pd
from core.utils import timer, do_job
# PATH
DATA_PATH = os.getenv("DATA_PATH")
PREPROCESSED_DATA_PATH = os.getenv("PREPROCESSED_DATA_PATH")
TXT_DATA_NAME = os.getenv("TXT_DATA_NA... | GENZITSU/DynamicWordEmbedding | main.py | main.py | py | 3,016 | python | en | code | 1 | github-code | 36 |
8444330611 | from tokenize import TokenInfo, DEDENT
from bones.bones_tree import BonesNode
from bones.token_parser import parse
from bones.tests.conftest import tokens_from_string
from bones.suppressors.known_mutants import FUNCTION
def test_module_tokens_are_put_in_root_node():
given = tokens_from_string('''\
from somewher... | dougroyal/bones-testing | bones/tests/test_token_parser_returned_tokens.py | test_token_parser_returned_tokens.py | py | 4,464 | python | en | code | 1 | github-code | 36 |
3323022532 | # -*- coding: utf-8 -*-
import psycopg2
# the module that connects to the database
"""
The task is to create a reporting tool that prints out reports (in plain text)
based on the data in the database.
1.What are the most popular three articles of all time?
Which articles have been accessed the most? Present this in... | laurafang/-logs_ana | log_ana.py | log_ana.py | py | 2,577 | python | en | code | 0 | github-code | 36 |
30934317618 | #!/usr/bin/python3
# USE THIS WHEN IN NOTEBOOK -> %python
# CHANGE ACCORDINGLY: the field XXX
import sys
import time
from azure.identity import ClientSecretCredential
from azure.storage.filedatalake import DataLakeServiceClient,FileSystemClient
ACCOUNT_NAME = "XXX"
FILE_SYSTEM = "XXX"
TARGET_DIR = "XXX"
def set_p... | eosantigen/devops-tools | apps/python/azure/azure_datalake_set_acl.py | azure_datalake_set_acl.py | py | 2,087 | python | en | code | 0 | github-code | 36 |
8809253230 | def main():
# Getting input from the user. (1-8 only)
height = get_height_int()
# Pyramid
for row in range(height):
# Left section of the pyramid.
for col in range(height - row):
print(" ", end="")
for hash in range(height - col):
print("#", e... | astimajo/CS50 | mario.py | mario.py | py | 745 | python | en | code | 1 | github-code | 36 |
74298299622 | #!/usr/bin/env python
#encoding=utf8
from json import dumps
def get_node(tree, name):
if tree.label == name:
return True, [tree.label]
if not tree.children:
return False, None
for child in tree.children:
found, addr = get_node(child, name)
if found:
return True... | xiaket/exercism | python/pov/pov.py | pov.py | py | 2,553 | python | en | code | 0 | github-code | 36 |
22226405639 | import pandas as pd
import argparse
from gtfparse import read_gtf
parser = argparse.ArgumentParser()
parser.add_argument('--phenotype', type=str, required=True)
# parser.add_argument('--ncRNA', type=str, required=True)
if __name__ == '__main__':
args = parser.parse_args()
phenotype = args.phenotype
... | bfairkun/ChromatinSplicingQTLs | code/scripts/NonCodingRNA/GetNonCodingRNAFromFeatureCounts.py | GetNonCodingRNAFromFeatureCounts.py | py | 1,685 | python | en | code | 0 | github-code | 36 |
20824479856 | import dlib
from imutils import face_utils
dlib_path = "dlibb/shape_predictor_68_face_landmarks.dat"
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(dlib_path)
import argparse
import pickle
import cv2
import os
import mpmath
import numpy as np
# face_classifier = cv2.CascadeClassifier('ha... | Hassan1175/MY_FYP_CODE | MY_CODE/videoframes.py | videoframes.py | py | 3,060 | python | en | code | 0 | github-code | 36 |
4108037157 | candies, multiple = [int(x) for x in input().split()]
primes = [True for i in range(candies + 1)]
primes[0] = False
primes[1] = False
combos = 0
for p in range(2, candies + 1):
if primes[p]:
combos += (candies - p) // multiple + 1
combos += (candies - p - 1) // multiple + 1
for i in range(p... | AAZZAZRON/DMOJ-Solutions | dmopc15c1p4.py | dmopc15c1p4.py | py | 403 | python | en | code | 1 | github-code | 36 |
9911287046 | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Custom filters for use in openshift_aws
'''
from ansible import errors
class FilterModule(object):
''' Custom ansible filters for use by openshift_aws role'''
@staticmethod
def scale_groups_serial(scale_group_info, upgrade=False):
''' This function w... | barkbay/openshift-ansible-gravitee | roles/lib_utils/filter_plugins/openshift_aws_filters.py | openshift_aws_filters.py | py | 2,484 | python | en | code | 1 | github-code | 36 |
11605675003 | PHANTOM_SYS_INFO_URL = "{url}rest/system_info"
PHANTOM_ASSET_INFO_URL = "{url}rest/asset/{asset_id}"
URL_GET_CODE = 'https://login.salesforce.com/services/oauth2/authorize'
URL_GET_TOKEN = 'https://login.salesforce.com/services/oauth2/token'
URL_GET_CODE_TEST = 'https://test.salesforce.com/services/oauth2/authorize'... | splunk-soar-connectors/salesforce | salesforce_consts.py | salesforce_consts.py | py | 1,518 | python | en | code | 0 | github-code | 36 |
35866803773 | import re
from datetime import date
from typing import Optional
import docx # type: ignore
from adaptive_hockey_federation.parser.user_card import BaseUserInfo
NAME = '[И|и][М|м][Я|я]'
SURNAME = '[Ф|ф][А|а][М|м][И|и][Л|л][И|и][Я|я]'
PATRONYMIC = '[О|о][Т|т]?[Ч|ч][Е|е][С|с][Т|т][В|в][О|о]'
DATE_OF_BIRTH = '[Д|д][А|а... | Studio-Yandex-Practicum/adaptive_hockey_federation | adaptive_hockey_federation/parser/docx_parser.py | docx_parser.py | py | 12,958 | python | ru | code | 2 | github-code | 36 |
34696045892 | import os
import yaml
import openai
"""
使用openai API的方式访问ChatGPT/azure GPT
"""
def set_env(cfg_file):
with open(cfg_file) as f:
config_data = yaml.safe_load(f)
azure = config_data["azure"]
if azure is not None:
for k, v in azure.items():
os.environ[k] = v
os.... | zzfengxia/python3-learn | dailytool/connect_openai_api.py | connect_openai_api.py | py | 1,851 | python | en | code | 0 | github-code | 36 |
74249579945 | """"
Controls EC2 Services
"""
import boto3
import logging
import os
"""
Ec2 controller: finds ec2 instances that have a devday tag, has the ability to stop, start and to modify their shutdown behaviour - to avoid termination
"""
class ec2Controller:
STOPBEHAVIOUR = 'stop'
def __init__(self, region, searchT... | evoraglobal/SleepSaver | ec2Controller.py | ec2Controller.py | py | 7,948 | python | en | code | 0 | github-code | 36 |
19665531020 | from puzzle_input import get_puzzle_input
strategy = get_puzzle_input(2)
def play_rock_paper_scissor(strategy):
points_one = 0
points_two = 0
elves_hands = {"A": 1, "B": 2, "C": 3}
your_hands = {"X": 1, "Y": 2, "Z": 3}
for game in strategy:
play = game.strip().split(" ")
elf, you ... | jonnaliesel/advent-of-code | 2022/day_2.py | day_2.py | py | 1,329 | python | en | code | 0 | github-code | 36 |
73387268903 | '''
5) Desenvolver um programa que pergunte 4 notas escolares de um aluno e exiba mensagem informando que o aluno foi aprovado se a média escolar for maior ou igual a 5. Se o aluno não foi aprovado, indicar uma mensagem informando essa condição. Apresentar junto com a mensagem de aprovação ou reprovação o valor da médi... | nthancdc/progDecisao | lista041/questao5.py | questao5.py | py | 843 | python | pt | code | 0 | github-code | 36 |
72549467305 | #!/usr/bin/env python3
# Purpose: Scale the coordinates of the Aya in the Quran images with a factor.
# Author: Abdallah Abdelazim
# Features:
# - Scale the coordinates of the Aya in the Quran images with a factor.
# - The input CSV file 'data.csv' is expected to be in the same folder as this script.
# - The output CSV... | QuranHub/quran-images-utils | csv_data_scale/scale_csv.py | scale_csv.py | py | 1,493 | python | en | code | 3 | github-code | 36 |
14178436834 | import time
import random
'''
Simple implementation of UUIDv8 with 60 bit Timestamp Usage
Based on https://www.ietf.org/archive/id/draft-peabody-dispatch-new-uuid-format-01.html first with some changes in clock secuence part.
Later based on https://www.ietf.org/archive/id/draft-peabody-dispatch-new-uuid-format-04.html... | ningauble/uuid8 | uuid.py | uuid.py | py | 1,413 | python | en | code | 0 | github-code | 36 |
23747778179 | """
Khinshan Khan - cli.py.
This module contains all command line interaction with user.
"""
import sys
def prompt(message):
"""Print optional message and wait for user input."""
if message:
print(message)
return input(">> ").strip()
def input_monad(message):
"""Listen for user events and a... | shan-memery/mcm-oss | mcm_oss/cli.py | cli.py | py | 2,015 | python | en | code | 0 | github-code | 36 |
1540076990 | '''
Implementation of Sieve Of Eratosthenes:
Time Complexity: O(N Log(Log N))
Space Complexity: O(N)
'''
def sieve(n):
if n <= 1:
return None
from math import sqrt
numbers = [True for i in range(n+1)]
primes = []
numbers[0] = False; numbers[1] = False # Since the numbers 0 and 1 are not considered as Prime.
fo... | puneeth1999/progamming-dsa-with-python | Week-2/AdditionalResouces/#2_0_sieveOfEratosthenes.py | #2_0_sieveOfEratosthenes.py | py | 771 | python | en | code | 2 | github-code | 36 |
37298965152 | import time
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
import json
from pymongo import MongoClient
i = 0
client = MongoClient('localhost',27017)
db=client.comment
collection=db.comment
collection2=db.after
def sentiment_classify(data):
access_token=''
http=urllib3.PoolM... | LogicJake/data_analysis | classfy/label.py | label.py | py | 1,396 | python | en | code | 2 | github-code | 36 |
17849746047 | from .data_metabolite_to_standard_name_dict import data_metabolite_to_standard_name_dict
from ..complete_dataset_class import CompleteDataset, natural_distribution_anti_correction, check_negative_data_array
from scripts.src.common.config import DataType, Direct, Keywords as CommonKeywords
from ..common_functions import... | LocasaleLab/Automated-MFA-2023 | scripts/data/renal_carcinoma/specific_data_parameters.py | specific_data_parameters.py | py | 5,412 | python | en | code | 0 | github-code | 36 |
28198353586 | """
FLUX: OPTIMUM RANGE
===================
"""
from math import isclose
from pathlib import Path
from typing import Literal
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.legend_handler import HandlerTuple
from pandas import DataFrame
fr... | holukas/diive | diive/pkgs/analyses/optimumrange.py | optimumrange.py | py | 18,102 | python | en | code | 0 | github-code | 36 |
27239543439 | # from django.shortcuts import render
from django.views.generic import ListView, DetailView, UpdateView, CreateView, DeleteView # импортируем класс, который говорит нам о том, что в этом представлении мы будем выводить список объектов из БД
from .models import Post
from datetime import datetime
from .filters import Po... | pvlrmv/newspaper | NewsPaper/news/views.py | views.py | py | 4,311 | python | ru | code | 0 | github-code | 36 |
22355735455 | import pytest
import mlrun.common.schemas
import mlrun.runtimes
def test_enum_yaml_dump():
function = mlrun.new_function("function-name", kind="job")
function.status.state = mlrun.common.schemas.FunctionState.ready
print(function.to_yaml())
@pytest.mark.parametrize(
"exclude_params,expected_result,... | mlrun/mlrun | tests/test_model.py | test_model.py | py | 2,821 | python | en | code | 1,129 | github-code | 36 |
35146672008 | import matplotlib.pyplot as plt
import numpy as np
fil = open("Breakout_step_RL")
ret_RL = []
for line in fil:
x = float(line)
if(x==-10):
x=0
ret_RL.append(x)
fil.close()
# fil = open("breakout_aveReturn")
# ret_MT = []
# for line in fil:
# ret_MT.append(float(line))
# fil.close()
# fil = op... | sidistic/Atari-Breakout-Reinforcement-Learning | graph.py | graph.py | py | 581 | python | en | code | 0 | github-code | 36 |
31025430607 | import numpy as np
import cv2
import faceTools
import moodTools
from PIL import Image
emojis_data = {
'angry': cv2.imread("./data/emojis/Angry.png"),
'disgust': cv2.imread("./data/emojis/Poisoned.png"),
'fear': cv2.imread("./data/emojis/Fearful.png"),
'happy': cv2.imread("./data/emojis/Happy.png"),
... | CVandermies/Facelook | main.py | main.py | py | 2,121 | python | en | code | 0 | github-code | 36 |
24752052108 | import os
from sqlalchemy import (
Column,
MetaData,
String, Integer, Float,
Table,
Text,
ForeignKey,
create_engine,
select
)
from domain.repositories import RepositoryInterface
metadata = MetaData()
users_table = Table(
'user', metadata,
Column('userId', Integer, primary_key... | armyost/hexagonalSampleV2 | src/app/infrastructure/adapters/mysql_adapter.py | mysql_adapter.py | py | 2,513 | python | en | code | 0 | github-code | 36 |
36086044311 | #1
for number in range (1,26):
print(number**2)
#2
y=()
while(y!="haha"):
y=input("Write 'It's a Loop: ")
#3
positive=float(input())
while(positive>0):
positive-=0.5
print(positive)
#4
a=()
while(a!="no"):
a=input("Do you want to continue? ")
print("This is the end")
#Level 1 Loops
#1
for i in range(3)... | chrblsm/CS1-Lab | lab 17Feb,19Feb.py | lab 17Feb,19Feb.py | py | 907 | python | en | code | 3 | github-code | 36 |
18586892058 | import numpy
import scipy.interpolate
import scipy.optimize
import scipy.stats
# Columns of csv input file
incols = ['name','Vinoc','dilmin','dilfac','ntot','ninf','comments']
# Columns added to csv output file
outcols = ['mode','68lb','68ub','95lb','95ub','RM','SK']
# label/header for assay parameters
label = {
#... | cbeauc/midSIN | src/__init__.py | __init__.py | py | 6,705 | python | en | code | 4 | github-code | 36 |
24399113 | import plotly.graph_objects as go
from plotly.subplots import make_subplots
import numpy as np
import maths
def mass_flow_funnel(mass_flows,moisture_content):
fig = go.Figure(go.Funnelarea(
# textinfo = [str(round(mass_flows[0],2))+" kg/h <br>Before Drying",str(round(mass_flows[1],2))+" kg/h <br>After Dry... | drpsantos/torr | 210921/charts.py | charts.py | py | 2,905 | python | en | code | 0 | github-code | 36 |
26469617014 | from ....key import Address
from ....hint import MBC_USER_STATISTICS, MBC_VOTING_CANDIDATE
from ....common import Int, MitumFactor, _hint, concatBytes
class Candidate(MitumFactor):
def __init__(self, address, nickname, manifest, count):
assert len(manifest) <= 100, 'manifest length is over 100! (len(manif... | ProtoconNet/mitum-py-util | src/mitumc/operation/document/blockcity/base.py | base.py | py | 2,222 | python | en | code | 2 | github-code | 36 |
21626075739 | from datetime import datetime
import os
def capture_pic(driver):
pt = datetime.now().strftime('%Y%m%m%H%M%S')
base_path = os.path.dirname(os.getcwd())
pic_name = os.path.join(base_path, 'picture', pt+'.png')
driver.get_screenshot_as_file(pic_name)
| litongtongx/test | common/picCapture.py | picCapture.py | py | 268 | python | en | code | 0 | github-code | 36 |
19221455150 | '''FINAL DRAFT OF CALC?'''
from tkinter import *
from tkinter import font as tkFont
import math as m
root = Tk()
root.title("SIMPLE CALCULATOR")
#rootlabel = Label(root, text="CALCULATOR", bg='gray3', fg = 'snow', font=("Times", 10, 'bold'))
#rootlabel.grid(row = 0,column = 2)
#root.geometry("538x540")
root.... | Adarsh-Liju/COOL-STUFF | python_progs/CALC_FINAL.py | CALC_FINAL.py | py | 5,842 | python | en | code | 1 | github-code | 36 |
6842050847 | import cv2
import numpy as np
import re
from tqdm import tqdm
import os
import random
from PIL import Image, ImageEnhance
def augment(image):
def transform():
return random.choice([0,1,2])
# every image has to flip
transform_seed = transform()
if transform_seed == 0:
i... | czkat/real-time-ship-classification-by-resnet-transfer-learning-with-original-dataset | augment.py | augment.py | py | 2,111 | python | en | code | 0 | github-code | 36 |
10663868437 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 14 10:36:34 2016
@author: Neo
cp the figure ../plot/ into ../NLiu2016/
"""
import os
## figure names in ../plot/
l1 = ['Observation_span.eps', \
'Number_of_session.eps', \
'Observation_history.eps', \
'DEV_plot.eps', \
'LinearDri... | Niu-Liu/thesis-materials | sou-selection/progs/FiguresCopy.py | FiguresCopy.py | py | 1,918 | python | en | code | 0 | github-code | 36 |
10579079643 | def open_file(filepath):
with open(filepath) as fl:
return fl.read()
def count_words(contents):
return len(contents.split())
def count_letters(contents):
lower_content = contents.lower()
letter_dict = {}
for l in lower_content:
if l in letter_dict:
letter_dict[l] += 1... | winterbear2077/pythonLearn | main.py | main.py | py | 1,052 | python | en | code | 0 | github-code | 36 |
30522922561 | ################################
# mission_five.py
################################
import math
import time
from pybricks.ev3devices import *
from pybricks.parameters import *
from pybricks.robotics import *
from pybricks.iodevices import *
from pybricks.tools import wait
from pybricks.hubs import EV3Brick
from robot_... | fll-18300/fall_2023 | mission_five.py | mission_five.py | py | 1,819 | python | en | code | 0 | github-code | 36 |
11162728846 | #
# Hardware:
# A USB C / PIC32 Breakout Board connected to an SSD1306-based OLED display
# (128x64 pixels) and an M5Stack joystick, both via I2C.
#
# Purpose:
# Illustrates the I2C Master functionality to manipulate two I2C Slaves for
# the purposes of the Kickstarter demo.
#
from usb_device import UsbDevice
from ups... | lophtware/UsbCPic32Breakout | src/examples/pong/python/pong.py | pong.py | py | 2,980 | python | en | code | 2 | github-code | 36 |
38844598957 | import re
f = open("customers.txt", "rt")
customers = {}
for line in f.readlines():
m_name = re.search('[A-Za-z ]+', line)
if m_name is None:
continue
name = m_name.group(0).strip()
if len(name) == 0:
continue
m_mobile = re.search(r'\d+', line)
if m_mobile is None:
co... | srikanthpragada/PYTHON_04_APR_2022 | demo/libdemo/list_customers.py | list_customers.py | py | 481 | python | en | code | 0 | github-code | 36 |
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