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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
553689261 | class Solution(object):
def isPalindrome(self, s):
"""
Given a string, determine if it is a palindrome, considering only alphanumeric characters and ignoring cases.
Note: For the purpose of this problem, we define empty string as valid palindrome.
Example 1:
Input: "A man,... | ljia2/leetcode.py | solutions/two.pointers/125.Valid.Palindrome.py | 125.Valid.Palindrome.py | py | 963 | python | en | code | 0 | github-code | 50 |
30180483161 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 19 18:14:00 2016
@author: Tavo
"""
'''This script will take a polygon shapefile and project it to UTM 23S using ogr/gdal
by tawonque 19/12/2016'''
#%% Import modules
import os
import sys
from osgeo import ogr
from osgeo import osr
#%% If necess... | tawonque/Neuralimage | shapergis/Neuralimage_project_shp.py | Neuralimage_project_shp.py | py | 5,117 | python | en | code | 0 | github-code | 50 |
101198986 | import cv2
import numpy as np
def calibrate(image, post_it_size_m=0.076) -> float:
# 1. take the green only,
# 2. blur and mask,
# 3. count those pixels...
total_i, total_j, _ = image.shape
def percent_of_idx(idx, percent):
return slice(int(idx * percent), -int(idx * percent))
reduce... | RAYemelyanova/lunchbox | src/lunchbox/analysis/calibrate.py | calibrate.py | py | 876 | python | en | code | 0 | github-code | 50 |
25195111578 | from flask import Flask, render_template
from flask import Flask, request, jsonify, Response
import json
import mysql.connector
from flask_cors import CORS, cross_origin
app = Flask(__name__)
@app.route('/')
def hello_world():
return render_template('index.html')
@app.route("/")
def hello():
return "Flask in... | Pimpwhippa/recommender | flask/app_hello_world.py | app_hello_world.py | py | 1,153 | python | en | code | 0 | github-code | 50 |
20194624735 | import boto3
import uuid
class TokenRepository:
def __init__(self, tokenTable):
self.table = boto3.resource('dynamodb').Table(tokenTable)
def getToken(self, keyId):
try:
response = self.table.get_item(
Key={
'keyid': keyId
... | bryantrobbins/baseball | shared/btr3baseball/TokenRepository.py | TokenRepository.py | py | 519 | python | en | code | 22 | github-code | 50 |
16878201823 | import logging
import vk_api
from django.conf import settings
from herald_bot.handlers.core.trigger import BaseTrigger
from herald_bot.handlers.core.trigger import BaseTrigger
from herald_bot.handlers.utils.helpers import make_keyboard_vk
from herald_bot.models import User
from vk_api.utils import get_random_id
log... | mr8bit/herald | herald_bot/handlers/vk/trigger.py | trigger.py | py | 2,530 | python | en | code | 1 | github-code | 50 |
42226074507 | import numpy as np
import sys
import copy
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import torch.optim as optim
import numpy as np
import math
import pdb
import pandas as pd
from torch.nn.utils import cli... | Hunterryan725/AlphaZero-Connect-Four | connect4.py | connect4.py | py | 5,767 | python | en | code | 0 | github-code | 50 |
17009498065 | # -*- coding: utf-8 -*-
import argparse
from datetime import datetime, timedelta
from dataclasses import asdict
from typing import List
import uuid
import const
from logging import Logger
import logger
from mq import MQ, MQMsgData
import rapi
def _send_msg(send_data: MQMsgData,
queue_name: str,
... | pro-top-star/python-stock-out | app/stockout_rakuten_producer.py | stockout_rakuten_producer.py | py | 3,588 | python | en | code | 2 | github-code | 50 |
42390489997 | #!/usr/bin/env python3
import operator
from functools import reduce
# Width and height of the grid. Used in some calculations later.
WIDTH = 100
HEIGHT = 100
# These are the coordinate transformations to use to check the state of the neighbours
TESTS = [
(-1, -1),
(0, -1),
(1, -1),
(-1, 0),
(1, 0)... | zandeez/adventofcode | 2015/day18.py | day18.py | py | 3,363 | python | en | code | 0 | github-code | 50 |
72053296156 | """
* Write a python program that asks the user a minimum of 3 riddles.
* You can look at riddles.com if you don't already know any riddles.
* Collect the response of each riddle from the user and compare their
answers to the correct answer.
* Use a variable to keep track of the correctly answered riddles
* Afte... | Maddox6647/level-0-module-1 | _04_int/_1_riddler/riddler.py | riddler.py | py | 1,744 | python | en | code | 0 | github-code | 50 |
3313890304 | import struct
import argparse
from PIL import Image
parser = argparse.ArgumentParser(description='Converts an image back to Quake conchars.')
parser.add_argument('input_img', type=str,
help='Input image.')
parser.add_argument('output_chrs', type=str,
help='Output conchars.')
... | Imakesoftware2/quake-conchar-tools | img_to_conchars.py | img_to_conchars.py | py | 587 | python | en | code | 0 | github-code | 50 |
37990465074 | #!/usr/bin/env python
# -*- coding: iso-8859-15 -*-
from pyramid.paster import get_appsettings
from sqlalchemy import engine_from_config, create_engine
from sqlalchemy.sql import text
from sqlalchemy.ext.automap import automap_base
from pyramid.view import view_config
from pyramid.response import Response
from pyramid.... | foerstner-lab/CoxBase-Webapp | webapp/views/primer_query.py | primer_query.py | py | 2,325 | python | en | code | 0 | github-code | 50 |
1180120399 |
# https://stackoverflow.com/questions/474528/what-is-the-best-way-to-repeatedly-execute-a-function-every-x-seconds
import time, traceback
def every(delay, task, retry=False):
next_time = time.time() + delay
while True:
time.sleep(max(0, next_time - time.time()))
try:
task()
except Exception:
... | christofteuscher/TrailNapAlarm | src/_unused/every.py | every.py | py | 1,133 | python | en | code | 3 | github-code | 50 |
29340460724 | import random
import sys
import pygame
from pygame.locals import *
# globel variables
FPS =30
SCREEN_WIDTH = 400
SCREEN_HEIGHT = 511
SCREEN = pygame.display.set_mode((SCREEN_WIDTH,SCREEN_HEIGHT))
GROUNDY = SCREEN_HEIGHT*0.8
GAME_SPRITIES = {}
GAME_SOUNDS = {}
PLAYER = 'gallery/sprites/bird.png'
BACKGROUN... | SaqibShoaib/Snake-Game | flappy_bird++.py | flappy_bird++.py | py | 7,757 | python | en | code | 0 | github-code | 50 |
41432739744 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 4 21:41:07 2022
@author: Zaha
"""
# -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import turtle
import random
class L_system: # Making lsystem class and defining some functions
def __i... | zaha2020/Bio_Inspired_Computing | L-System_Grammer/Codes/L_SYSYEM.py | L_SYSYEM.py | py | 7,049 | python | en | code | 1 | github-code | 50 |
24135211114 | import pyb
import machine
import struct
import utime
# Import the necessary modules
print(" Importing gateway/relay node function library...")
import uac_network.main.gw_functions as gwf
from sensor_payload.main.sensor_payload import SensorPayload
from uac_modem.main.unm3driver import MessagePacket, Nm3
print(" Imp... | bensherlock/micropython-usmart-network | main/sensor_node.py | sensor_node.py | py | 27,292 | python | en | code | 0 | github-code | 50 |
39675481106 | import re
def match_any_expression(value='', expressions=[]):
"""verifies if the input value matches any of the expressions using re
Args:
value (str, optional):
[string to be tested against the expressions]. Defaults to ''.
expressions (list, optional):
[list of patte... | gelouko/useful-scripts | aws/find_and_tag/utils.py | utils.py | py | 1,029 | python | en | code | 1 | github-code | 50 |
46770272718 | def mergeOverlappingIntervals(intervals):
retval=[]
while intervals:
range1 = intervals.pop(0)
minval,maxval =range1
rangemodified=False
merged_ranges=[]
for idx in range(len(intervals)):
range2=intervals[idx]
if (
(range1[0]>=range2[0] and range1[0]<=range2[1]) or
(range1[1]<=range2[0... | younelan/Code-Fun | algo/mergeIntervals.py | mergeIntervals.py | py | 1,169 | python | en | code | 0 | github-code | 50 |
32186397331 | import os
import sys
import arcpy
import pandas as pd
from arcgis.features import FeatureLayer, GeoAccessor
from arcgis.gis import GIS
from dotenv import load_dotenv
arcpy.env.overwriteOutput = True
def auto_download_data(data_url, outGDB, outname, from_date, to_date):
""" Requires you to be logged into arcgis p... | WenkChr/NGD_AGOL_Download | automate_download.py | automate_download.py | py | 19,015 | python | en | code | 1 | github-code | 50 |
759183855 | import streamlit as st
import pandas as pd
import datetime as dt
import altair as alt
import requests
import folium
import plotly.graph_objects as go
from folium.plugins import MousePosition
from st_aggrid import (
AgGrid,
ColumnsAutoSizeMode,
GridOptionsBuilder,
GridUpdateMode,
JsCode,
)
def load... | gorkemuna1/Latest-Earthquakes | utility.py | utility.py | py | 13,643 | python | en | code | 2 | github-code | 50 |
36540049389 | import pyaudio
import wave
import pygame
import threading
import time
# Base 'Sound' class that all inherit from
class Sound:
def __init__(self):
self.path = None
self.volume = 1
def set_volume(self, val):
self.volume = val
def play(self):
pass
# For sound effects, only supports WAV. Use this when you do... | wg4568/PyStellarEngine | stellar/sound.py | sound.py | py | 1,455 | python | en | code | 2 | github-code | 50 |
28201165059 | # Create your views here.
from django.http import *
from django.contrib.auth import logout
from django.shortcuts import render_to_response, get_object_or_404
from django.core.paginator import Paginator
from skatemaps.maps.models import *
def index(request):
return render_to_response('index.html', {'spots': spots, 'us... | jsantos/SkateMaps | maps/views.py | views.py | py | 1,182 | python | en | code | 3 | github-code | 50 |
71189193436 | """ Bot file that controls that mail bot """
from automation import Automation
import pandas as pd
from datetime import datetime, timedelta
from utils import filehandler as fh
from utils import regextools as rt
class MailBot(Automation):
def __init__(self):
super(MailBot, self).__init__()
self.or... | djwatson-coder/automation_programs | mailbot/bot.py | bot.py | py | 4,394 | python | en | code | 0 | github-code | 50 |
39273560017 | class Solution:
def countSubstrings(self, s: str) -> int:
if len(s) == 1:
return 1
result = 0
size = len(s)
for i in range(size):
for left, right in (i, i), (i, i + 1):
while left > -1 and right < size and s[left] == s[right]:
... | Tammon23/LeetCodePractice | Medium/PalindromicSubstrings/PalindromicSubstrings.py | PalindromicSubstrings.py | py | 421 | python | en | code | 0 | github-code | 50 |
28640447322 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Author: Linjian Zhang
Email: linjian93@foxmail.com
Create Time: 2018-01-14 14:31:15
Program:
Description:
"""
import math
import torch
import warnings
from torch.nn import Module, Parameter
import torch.nn.functional as F
from torch.autograd import Variable
def clip... | linjianz/pytorch-deepvo | rnn/modules.py | modules.py | py | 14,203 | python | en | code | 102 | github-code | 50 |
7816156641 | import pandas as pd
url_1='https://fbref.com/en/matches/109ad6ba/Argentina-Saudi-Arabia-November-22-2022-World-Cup#shots_all'
urls=[url_1]
def cambio_min(match):
suma=[]
for x in match.Minute:
min=x.split('+')
i = 2
if i == len(min):
nuevo_min=int(min[0])+int(min[1])
... | toledojm/wc2022_stats | data.py | data.py | py | 878 | python | en | code | 0 | github-code | 50 |
5631903542 | import os
import json
from collections import defaultdict
import numpy as np
import cv2
import masking
class COCODoomDataset:
BACKGROUND_CLASS = 0
def __init__(self,
data,
image_root,
version="standard",
batch_size=16,
ig... | csxeba/COCODoomSeg | data.py | data.py | py | 3,801 | python | en | code | 0 | github-code | 50 |
5990359491 | import os
import sys
import cv2
import numpy as np
import tensorflow as tf
from lib.utils.timer import Timer
from lib.fast_rcnn.config import cfg
from lib.fast_rcnn.test import test_ctpn
from lib.networks.factory import get_network
from lib.text_connector.detectors import TextDetector
from lib.text_connector.text_conn... | EssayKillerBrain/WriteGPT | RecognizaitonNetwork/ctpn/text_detect.py | text_detect.py | py | 3,485 | python | en | code | 5,257 | github-code | 50 |
18490923987 | import torch
import cv2
from einops import rearrange
import numpy as np
import json
from PIL import Image
from torchvision.models import EfficientNet_V2_M_Weights
from core.settings import model_config
def load_pretrained(model: object, pretrained: str, device: str):
checkpoints = torch.load(pretrained, map_loca... | saeed5959/object-detection-transformer | object_detection/utils.py | utils.py | py | 6,259 | python | en | code | 6 | github-code | 50 |
42684283653 | import psycopg2
import os
from politico.config import APP_CONFIG
from flask import current_app
class DB:
"""Database initialization class"""
def tables(self):
users = """
create table if not exists users (
id serial primary key not null,
firstname varchar(... | erycoking/Politico_API | politico/api/v2/db/__init__.py | __init__.py | py | 11,512 | python | en | code | 1 | github-code | 50 |
10230090124 | # ！/usr/bin/python
# -*- coding: utf-8 -*-
from . import news
from .. import db
from flask import jsonify
__author__ = 'AidChow'
@news.route('/list/<page>', methods=['GET'])
def news_list(page):
page = int(page)
if page == 0:
page = 1
with db.connect().cursor() as cur:
sql = 'SELECT * fr... | pengyuanqiuqiu/MinDa_news | app/news/view.py | view.py | py | 1,378 | python | en | code | 0 | github-code | 50 |
45998640719 | from settings import *
class Shield(pygame.sprite.Sprite):
def __init__(self, x, y, p):
pygame.sprite.Sprite.__init__(self)
if p == 1:
self.image = pygame.image.load(os.path.join(img_folder, 'shield1.png')).convert()
self.image.set_colorkey((0,0,0))
elif p == 2:
self.image = pygame.image.load(... | ew073168/Star-Wars-PvP | Star Wars PvP/shield.py | shield.py | py | 574 | python | en | code | 0 | github-code | 50 |
24510732417 | import numpy as np
from common.sparsenetworkmodel import EdgeWeightedQBAF
import common.helper as helper
import copy
import time
class PSO:
"""
This class represents the PSO algorithm with its parameters and functions
Some of the attributes:
experiment_id: identifier for the experiment
vel... | bazomd/sparse-mlp-structure-learning | python/common/particle_swarm_optim_algorithm.py | particle_swarm_optim_algorithm.py | py | 17,114 | python | en | code | 0 | github-code | 50 |
6959991626 | import numpy as np
import cv2
import msvcrt
import math
from math import pi, sin, cos
from matplotlib import pyplot as plt #显示图像等用，若需要用几个演示函数则启用
from mpl_toolkits.mplot3d import Axes3D #同上
def rendering(dir):
# z的尺度与x和y相同，大小等同于测试图像大小，位置与测试图像像素点一一对应
# imgs为渲染结果，大小等同于测试图像大小，位置与测试图像像素点一一对应
z = n... | MTCXin/Face-Image-Rendering-and-Reconstruction | rendering.py | rendering.py | py | 21,607 | python | en | code | 0 | github-code | 50 |
11125464700 | from horovod.ray import RayExecutor
import horovod.torch as hvd
import ray
# Start the Ray cluster or attach to an existing Ray cluster
ray.init(address='auto')
num_workers = 4
# Start num_hosts * num_slots actors on the cluster
settings = RayExecutor.create_settings(timeout_s=30)
executor = RayExecutor(settings, nu... | chongxiaoc/ray-examples | horovod/ray_start.py | ray_start.py | py | 859 | python | en | code | 0 | github-code | 50 |
39283561437 | #!/usr/bin/python3
""" Wavefront obj model loading. Material properties set in
mtl file. Uses the import pi3d method to load *everything*
"""
import demo
import pi3d
from math import sin, cos, radians
# Setup display and initialise pi3d
DISPLAY = pi3d.Display.create()
# Fetch key presses
inputs=pi3d.InputEvents()
... | PacktPublishing/Raspberry-Pi-3-Cookbook-for-Python-Programmers-Third-Edition | Chapter07/3dModel.py | 3dModel.py | py | 1,767 | python | en | code | 26 | github-code | 50 |
5698550979 | """Loop through all "hadded" data files and save the total number of coincidences."""
import argparse
from collections import defaultdict
import itertools as it
import json
import multiprocessing
import numpy as np
import common
import delayeds
import adevent
def one_file(run_key, data_file_path, energy_lookup, bin... | samkohn/dyb-event-selection | dyb_analysis/event_selection/compute_num_coincidences.py | compute_num_coincidences.py | py | 7,131 | python | en | code | 0 | github-code | 50 |
1387659283 | import sys
import logging
import numpy as np
class Sent_embedding_model:
''' wrapper for sentence embedding models '''
def __init__(self, config) -> None:
''' choose embedding method, choose post processing method (gen sentence embedding first and then post-processing) '''
assert ... | BinWang28/EvalRank-Embedding-Evaluation | src/s_models.py | s_models.py | py | 3,359 | python | en | code | 35 | github-code | 50 |
42269348578 | import torch.nn as nn
import os
from os.path import join
import json
import copy
import torch
from PIL import Image
from collections import Counter
import torch.nn.functional as F
import matplotlib.pyplot as plt
from torch.utils.data import Dataset
import time
import torch.optim as optim
from torchvision import transfo... | vbhavank/two-head-number-pytorch-classifier | code.py | code.py | py | 9,758 | python | en | code | 0 | github-code | 50 |
39908424305 | #!/usr/bin/env python3
import sys
if len(sys.argv) == 2:
print("Opening: %s" % sys.argv[1])
f = open(sys.argv[1])
lines = f.readlines()
gamma = epsilon = ""
for i in range(len(lines[0])-1):
print("i: %d" % i)
b0 = b1 = 0
for l in lines:
if l[i] == "0":
... | malfaxio/adventofcode | 2021/03/sol03p1.py | sol03p1.py | py | 728 | python | en | code | 0 | github-code | 50 |
28785556759 | from Question_3_predict_9am import predict_temp_9am
import csv
cities = ['Sydney', 'Melbourne', 'Brisbane',
'Perth', 'Canberra', 'Adelaide']
data_9am = []
for city in cities:
mae_ensemble, r2_ensemble, accuracy_ensemble = predict_temp_9am(city)
data_9am.append([mae_ensemble, r2_ensemble, accuracy_ense... | JiatongGao/cse163-final-project | Question 3/Question 3 9am/Q3_run_9am.py | Q3_run_9am.py | py | 581 | python | en | code | 0 | github-code | 50 |
26272620668 | import os
from typing import List, Dict
from openai_api import OpenAIResponder
from utils import format_message
from chat_store import ChatStore
api_key = os.getenv('OPENAI_API_KEY')
class SafeguardAI:
def __init__(self, api_key: str, model: str = 'gpt-3.5-turbo-0613', logger=None):
self._api_key = api_ke... | kpister/prompt-linter | data/scraping/repos/mihaitruta~examine-ai-2/backend~safeguard.py | backend~safeguard.py | py | 2,884 | python | en | code | 0 | github-code | 50 |
41802337679 | ####PARt1
r1 = range(0, 10)
for range1 in r1:
print(range1)
print("")
r2 = range(5, 30)
for range2 in r2:
print(range2)
print("")
r3 = range(10,20)
for range3 in r3:
print(range3)
print("")
####Part2
#variables
left_boarder = "[!"
right_boarder = "!]"
inner = "_"
name = "Lizveth"
length = range(0,11)
for l... | code-in-the-schools/Loops-and-range_LizvethM | main.py | main.py | py | 403 | python | en | code | 0 | github-code | 50 |
4897162439 | import sys
from typing import List
from threading import Timer
from grid import Grid
from entity import MovableEntity, Entity, ScoutingEntity
from consts.direction import MovementDirection
from shape_sprite import ShapeSprite
from ui import Menu, Button
from consts.movement_type import MovementType
from consts import C... | ryancollingwood/arcade-rabbit-herder | game.py | game.py | py | 17,791 | python | en | code | 10 | github-code | 50 |
26992677057 | from tkinter import *
from tkinter import messagebox
import pyspeedtest # pip install pyspeedtest
def check():
speed = pyspeedtest.SpeedTest("www.wikipedia.com")
v1 = (str(speed.download()) + " [Bytes per second]")
messagebox.showinfo("Your download speed is : ", v1)
root = Tk()
#Basic background for t... | Mansish-101M99/Python-Projects | Internet speed checker/inspdchk1.py | inspdchk1.py | py | 666 | python | en | code | 1 | github-code | 50 |
73348443036 |
"""
Author : Setu Gupta
Email : setu18190@iiitd.ac.in
Date : 24th Aug 2020
This tool is used compare and plot accuracies of probability model and simple perceptrons.
The tool can be used via the following command
python3 path/to/this/file path/to/the/accuracy_report
Note: accuracy_report is in DoS_noxim_router_meta_... | Setu-Gupta/noxim_NoC_DoS | bin/tools/plot_gen/accuracy_comparision_plot/bar_plot.py | bar_plot.py | py | 2,715 | python | en | code | 0 | github-code | 50 |
71336543836 | import typing as t
import discord
from discord.ext import commands
import bot.extensions as ext
from bot.clem_bot import ClemBot
from bot.consts import Colors
class InviteCog(commands.Cog):
def __init__(self, bot: ClemBot) -> None:
self.bot = bot
@ext.command()
@ext.long_help("My invite link so... | ClemBotProject/ClemBot | ClemBot.Bot/bot/cogs/bot_info_cog.py | bot_info_cog.py | py | 2,379 | python | en | code | 79 | github-code | 50 |
37275885434 | # LZW Encoder
'''
The input data is encoded using the encoder.py file,
the dictionary of size 256 is built and initialized,
using the python dictionary data structure
in the dictionary, key are characters and values are the ascii values
the lzw compression algorithm is applied and we get the compressed data,
the progra... | himanshikohli19/Design_and_Analysis_of_Algorithms_using_Python | LZWEncoding.py | LZWEncoding.py | py | 1,901 | python | en | code | 0 | github-code | 50 |
28925000982 | # monoalphabetic.py - implements a monoalphabetic (Caesar) cipher.
from rotate import cipher_rotate
# def rotate(char, rotation):
# """
# Function to cipher individual characters of strings. Takes individual characters as input and returns shifted characters
# """
# digit = ord(char)
# cipherdigit... | Michael-Flood/ciphertool | monoalphabetic.py | monoalphabetic.py | py | 1,644 | python | en | code | 0 | github-code | 50 |
70382429916 | """
=========================================
Preparing Data for Analysis
=========================================
Date: April 21, 2023
This script cleans the input data, removes outliers, explores and visualizes the cleaned data, shuffles the data, and outputs it as a .csv
How to run: python3 preparing_data.py -... | odumosuo/insurance_prediction | preparing_data.py | preparing_data.py | py | 7,748 | python | en | code | 0 | github-code | 50 |
16189072160 | import pandas as pd
import numpy as np
import json
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
class DataModels:
float_cols = ['PM25_A', 'PM25_B', 'Humedad_Relativa', 'Temperatura', 'Presion']
data_splitted = False
def __init__(self, purple, aire... | gziz/air-pollution-models | src/data_models.py | data_models.py | py | 2,520 | python | en | code | 0 | github-code | 50 |
2032923031 | from django.conf.urls import include, url
from django.contrib import admin
admin.autodiscover()
import hello.views
# Examples:
# url(r'^$', 'gettingstarted.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
urlpatterns = [
url(r'^$', hello.views.index, name='index'),
url(r'^popular', hello.v... | inaz2/osiete.herokuapp.com | gettingstarted/urls.py | urls.py | py | 668 | python | en | code | 0 | github-code | 50 |
30919291696 | from src.shelf import data_review as dl
from src.shelf import dicts as alp
import codecs
import matplotlib.pyplot as plt
data = dl.selected_reviews
important = alp.words
image_location = "images"
def rating_dist(data):
rating = [0, 0, 0, 0, 0]
for element in data:
star = int(element[1])
base... | rcmayhew/model | src/bag_of_words.py | bag_of_words.py | py | 4,045 | python | en | code | 0 | github-code | 50 |
17290277462 | handler = open("R&J_WORD_FREQS.txt", 'r')
word_list = {}
word_list['a'] = 0
def checkNotPresent(str1):
if word_list==None:
return True
for a in word_list.keys():
if a==str1:
return False
return True
mf_count = 0
for line in handler:
data = line.strip().split(" ")
for i ... | Echomo-Xinyu/H2_Computing | python/python_lesson/3_29/ws3/ws3_5.py | ws3_5.py | py | 618 | python | en | code | 3 | github-code | 50 |
32076053454 | import os
import numpy as np
from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
# 图片生成器ImageDataGenerator
# 用以生成一个batch的图像数据，支持实时数据提升。训练时该函数会无限生成数据，直到达到规定的epoch次数为止
# 参数
# featurewise_center: boolean, 使输入数据集去中心化（均值为0）
# samplewise_center: boolean, 使输入数据的每个样本均值为0
# feature_st... | esdream/smile | training/test_keras_aug.py | test_keras_aug.py | py | 2,613 | python | zh | code | 0 | github-code | 50 |
71629052634 | # PROYECTO
"""
JUEGO DE ADIVINA EL NUMERO.
- PEDIR NOMBRE DE USUARIO
- ELEGIR NUMERO AL AZAR ENTRE 1 Y 100
- DAR 8 INTENTOS AL JUGADOR PARA ENCONTRARLO
- SI EL NUMERO QUE INGRESA EL USUARIO ES MENOR A 1 Y MAYOR A 100 INDICARLO
- SI EL NUMERO ES MENOR AL ELEGIDO INDICARLO
- SI ES MAYOR INDICARLO
- SI A... | AdamNoir/MyLearning | Python/Python 16 Días/Día 4/Proyecto.py | Proyecto.py | py | 1,703 | python | es | code | 0 | github-code | 50 |
17019972814 | # --------------------------------------------------------------------------
# Loads and processes files from the site's 'includes' directory.
# --------------------------------------------------------------------------
import os
from . import loader
from . import renderers
from . import site
# Dictionary of render... | GregHattJr/malt | malt/includes.py | includes.py | py | 867 | python | en | code | null | github-code | 50 |
1067872119 | # Python - 2020 Summer Course
# Day 8
# Topic: More on SQL and Database (Loading a Database)
# Instructor: Patrick Cunha Silva
# Former Instructors: Ryden Buttler, Erin Rossiter
# Michele Torres, David Carlson, and
# Betul Demirkaya
# This is an addition to the course made by Pat... | pcunhasilva/python_summer2020 | Day8/Lecture/day08p2.py | day08p2.py | py | 2,132 | python | en | code | 2 | github-code | 50 |
36487965490 |
def print_newspaper(lines, align, width):
final_lines = []
stars = "*" * (width + 2)
final_lines.append(stars)
for i, line in enumerate(lines):
curr_line = []
while line:
if len(" ".join(curr_line + [line[0]])) <= width:
curr_line.append(line.pop(0))
... | emilycheera/coding-challenges | newspaper.py | newspaper.py | py | 1,084 | python | en | code | 1 | github-code | 50 |
16103621701 | import socket
import threading
import datetime
import select
class SockThread(threading.Thread):
def __init__(self,socket,addr,cli_struct):
super().__init__()
self.socket = socket
self.addr = addr
self.cli_struct = cli_struct
def disconnection_times(self):
name = thread... | wd15102/select_server | select.py | select.py | py | 3,526 | python | en | code | 0 | github-code | 50 |
25125623386 | #!/usr/bin/env python3
import torch
import cv2
from ai_old.util.etc import resize_imgs
from ai_old.util.face import custom_align_face
from ai_old.util.inverse import get_outer_quad
DI_K_192 = 16
OUTER_BOUNDARY_DIV = 32
def get_di_k(imsize):
return int(DI_K_192 * (imsize / 192))
def get_dilate_kernel(imsize):
... | calvinpelletier/ai_old | util/outer.py | outer.py | py | 2,776 | python | en | code | 0 | github-code | 50 |
16705202463 | '''le de um arquivo as cidades mais populosas e retorna a mais populosa'''
cidade = ''
populacao = 0
with open("arq.txt",'a+') as arquivo:
arquivo.seek(0)
lista = arquivo.read().split('\n')
for c in lista:
a = c.split('-').copy()
if populacao < int(a[1].replace('.','')):
popula... | LucasSalu/Curso_Python_Basico_Avan-ado | Arquivos_de_texto/exercicio_text10.py | exercicio_text10.py | py | 515 | python | pt | code | 0 | github-code | 50 |
27769680948 | from .veloxchemlib import Molecule
from .veloxchemlib import MolecularBasis
from .veloxchemlib import AtomBasis
from .veloxchemlib import BasisFunction
from .veloxchemlib import ChemicalElement
from .veloxchemlib import bohr_in_angstroms
from .veloxchemlib import assert_msg_critical
from .veloxchemlib import to_angular... | manuel-br/input_handling | inputparser.py | inputparser.py | py | 10,435 | python | en | code | 0 | github-code | 50 |
33884785238 | # https://www.codewars.com/kata/5412509bd436bd33920011bc
# Your task is to write a function maskify, which changes all but the last four characters into '#'.
def maskify(word):
if len(word) <= 4:
return word
elif word == None:
return " "
else:
last_four = word[-4:]
hash ... | modjeskaa/code-wars-solutions | Credit Card Mask.py | Credit Card Mask.py | py | 379 | python | en | code | 0 | github-code | 50 |
22573980841 | #!/usr/bin/env python
import os
from PIL import Image
class ImageExtfindError(Exception):
""" Class for reporting errors related to the problems with the image extension/format """
def __init__(self, value):
self.value = value
def __str__(self):
return repr(self.value)
def verify_image(... | ox-vgg/vgg_frontend | siteroot/controllers/utils/imchecktools.py | imchecktools.py | py | 2,340 | python | en | code | 3 | github-code | 50 |
21671800647 | import random
i = 1
ite = 0
sample = 10000
for j in range(1, sample):
i = 1
while (True):
ite = ite + 1
rand = random.randint(0, 100)
if i == rand:
print(i)
i = i + 1
if i == 101:
break
print(ite)
print("avg = ", ite / sample) | Dmendoza3/Python-exercises | random/boogleCount100.py | boogleCount100.py | py | 303 | python | en | code | 0 | github-code | 50 |
8652076835 | import sys
sys.stdin = open('input.txt')
q = lambda : map(int, sys.stdin.readline().split())
N, M = q() # M : 필요한 메모리 = 베낭 용량
m = list(q()) # 메모리 = 무게
c = list(q()) # 활성화하는데 드는 비용 = 가치
dp = [[0 for _ in range(M+1)] for __ in range(N+1)]
for i in range(1, N+1):
memory, value = m[i-1], c[i-1]
for j in rang... | TValgoStudy/algo_study | 감자조/지수/배낭문제/7579_앱/s1.py | s1.py | py | 467 | python | ko | code | 3 | github-code | 50 |
24360520210 | import sys
from itertools import chain
def check():
cnt = 0
for i in range(5):
# 가로
if sum(bingo[i * 5: (i + 1) * 5]) == -5:
cnt += 1
# 세로
if sum(bingo[i::5]) == -5:
cnt += 1
# 대각선
if sum(bingo[0::6]) == -5:
cnt += 1
if sum(bingo[4:... | phoenix9373/Algorithm | 2020/백준문제/IM대비/2578_빙고.py | 2578_빙고.py | py | 731 | python | en | code | 0 | github-code | 50 |
4134197620 | import random
import torch
import torch.utils.data
from PIL import Image
from glob import glob
import numpy as np
import torchvision.transforms as transforms
import os
class DataProcess(torch.utils.data.Dataset):
def __init__(self, img_root, input_mask_root, ref_root, train=True):
super(DataProcess, self).... | Cameltr/TransRef | data/dataprocess.py | dataprocess.py | py | 1,708 | python | en | code | 21 | github-code | 50 |
36879729097 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 2 03:23:55 2020
@author: mhasan13
"""
import pickle as pkl
import numpy as np
import brian2 as br
class NeuronMeshGrid:
'''
Data on neuron phase plane
'''
def __init__(self, pickle_path:str) -> None:
with open(pickle_path,... | mhasan13-here/phase-plane-torch | initial/ObjectClass.py | ObjectClass.py | py | 17,059 | python | en | code | 0 | github-code | 50 |
43594036384 | import os
import json
import math
import matplotlib.pyplot as plt
from sklearn.cluster import DBSCAN
import numpy
current_directory = os.getcwd()
data_folder_path = "data"
folder_path = os.path.join(current_directory, data_folder_path)
dicts = []
names = []
for file_name in os.listdir(folder_path):
path = os.path... | ArcadeCookie/ReconocimientoDeMacroPatrones | DBS.py | DBS.py | py | 2,567 | python | en | code | 0 | github-code | 50 |
27873466527 | #!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
AUTHOR = 'JQ'
SITENAME = 'Japan Trip 2018'
SITEURL = 'http://localhost:2018'
STATIC_PATHS = ['images', 'pdfs']
PATH = 'content'
TIMEZONE = 'America/Chicago'
DEFAULT_LANG = 'en'
DEFAULT_DATE_FORMAT = '%-m/%-d/%Y'
DEFAULT_CATEGOR... | johnwquarles/japan-trip | pelicanconf.py | pelicanconf.py | py | 1,318 | python | en | code | 0 | github-code | 50 |
43012985588 | def equalize_voltage(signal, init_voltage = 0.1, target_voltage = 1, f = 10000):
signal.set_voltage(init_voltage)
signal.set_freq(f)
signal.run()
voltage_meas1 = signal.read_voltage(f, 4000, 1)
#print(voltage_meas1)
signal.stop()
voltage_set1 = target_voltage*init_voltage/voltage_meas1
... | fabianlickert/automated_acoustofluidics | drivers/equalize_voltage.py | equalize_voltage.py | py | 821 | python | en | code | 0 | github-code | 50 |
27242163880 | import pandas as pd
import glob
import os
folderPath = "*.png"
import os
print(os.getcwd())
Images_path = "/Users/pavankumar/Documents/Robotics MSc/Dissertation/Data Pre-processing/Dissertation Datasets/mangoes/images"
fruit = "mango"
os.chdir( Images_path )
print(os.getcwd())
filesList = glob.glob(folderPath)
p... | PavanproJack/Fruit-Detection-in-Orchards | Data Processing Scripts/sortImages.py | sortImages.py | py | 610 | python | en | code | 12 | github-code | 50 |
71214457114 | # coding:utf-8
from optparse import OptionParser
import os
import sys
import itertools
from common.glob import iglob
def empty_dirs( root_dir ):
for curr_dir, dirs, files in os.walk( root_dir ):
if len( dirs ) == 0 and len( files ) == 0:
yield curr_dir
def main():
parser = OptionParser( version=... | ciel-yu/canal-aux | scripts/cleanempty.py | cleanempty.py | py | 958 | python | en | code | 0 | github-code | 50 |
13180648906 | '''
In this challenge, you will be given 2 integers, n and m. There are n words, which might repeat, in word group A.
There are m words belonging to word group B. For each m words, check whether the word has appeared in group A or not.
Print the indices of each occurrence of m in group A. If it does not appear, prin... | RobertEne1989/python-hackerrank-submissions | defaultdict_tutorial_hackerrank.py | defaultdict_tutorial_hackerrank.py | py | 1,398 | python | en | code | 0 | github-code | 50 |
35546153534 | import json
from os import path
import datetime
import sqlite3
import time
import urllib.request
'''
def connect():
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(("www.blahinc.com",80))
'''
#will need to be changed so we can connect to server
def getUrlforBTC(time):#time should come in form yy... | CryptoUmnTheProject/Algorithmic-Trading | Algorithms/helper_functions/helper.py | helper.py | py | 4,207 | python | en | code | 3 | github-code | 50 |
43108338058 | #!/usr/bin/env python
# coding: utf-8
# # THE SPARKS FOUNDATION
#
# ### TASK 1- PREDICTION USING SUPERVISED MACHINE LEARNING
#
#
# ### DESCRIPTION - PREDICT THE PERCENTAGE OF A STUDENT BASED ON THE NUMBER OF STUDY HOURS
#
# ### NAME - SATYAM KUMAR
#
# In[18]:
import pandas as pd
import matplotlib.pyplot as ... | satyamiitbhu/The-Spark-Foundation | THE SPARK TASK 1.py | THE SPARK TASK 1.py | py | 2,425 | python | en | code | 0 | github-code | 50 |
42883176870 | from __future__ import absolute_import
from abc import abstractmethod
from six import string_types
from sagemaker.local import file_input
from sagemaker.session import s3_input
class _Job(object):
"""Handle creating, starting and waiting for Amazon SageMaker jobs to finish.
This class shouldn't be directly... | ggiallo28/aws-deepracer-local | source/sagemaker-python-sdk/src/sagemaker/job.py | job.py | py | 8,097 | python | en | code | 2 | github-code | 50 |
70382594396 | from click.testing import CliRunner
from ocxtools.cli import cli
from ocxtools import __version__
def test_cli_version():
runner = CliRunner()
result = runner.invoke(cli,['version'])
assert result.exit_code == 0
assert __version__ in result.output
def test_cli_validate_info():
runner = CliRunner... | OCXStandard/ocxtools | tests/test_cli.py | test_cli.py | py | 636 | python | en | code | 0 | github-code | 50 |
39676546346 | from setuptools import setup, find_packages
version = '0.3.dev0'
setup(name='webtest-casperjs',
version=version,
description="Use casperjs with WebTest",
long_description=open('README.rst').read(),
classifiers=[
"Development Status :: 5 - Production/Stable",
"Framework :: Paste... | gawel/webtest-casperjs | setup.py | setup.py | py | 1,268 | python | en | code | 6 | github-code | 50 |
4757653620 |
"""
A simple sample module with command authorization testing
and some useful functions
"""
import sys
import os
import time
#import yaml
import json
from sharedVars import authorizedPath
def isAuth(username):
with open(authorizedPath) as file:
auths = json.load(file)
if username not in auths: return False
els... | fmorisan/amaurascripts | authorized.py | authorized.py | py | 669 | python | en | code | 0 | github-code | 50 |
16191703063 | import sys
import pdb
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
BGBLUE = '\33[44m'
def criarMatriz(nome):
m=[]
try:
with open(nome,"r") as... | es0j/mdiff | mdiff.py | mdiff.py | py | 3,073 | python | pt | code | 0 | github-code | 50 |
3155330834 | # 두 개의 정수를 입력받아 작은 수부터 큰 수까지 모든 정수의 합을 구하여 출력하는 프로그램을 작성하시오.
# f = open("io_441.txt", "r") # VS Code에서 열려있는 편집기 위치에 따라 상대경로가 결정된다
# a, b = map(int, f.readline().split())
a, b = map(int, input().split())
if(a > b):
tmp = a
a = b
b = tmp
sum = 0
for i in range(a, b+1):
sum += i
print(sum)
# f.c... | refresh6724/APS | Jungol/Lv1_LCoder_Python/pyi0_파일입출력/Main_JO_441_파일입출력_자가진단1.py | Main_JO_441_파일입출력_자가진단1.py | py | 458 | python | ko | code | 0 | github-code | 50 |
1683989676 | import unittest
import parl
from parl.remote.monitor import ClusterMonitor
import time
import threading
from parl.remote import exceptions
from parl.utils.test_utils import XparlTestCase
import os
import signal
@parl.remote_class
class Actor(object):
def __init__(self, arg1=None, arg2=None):
self.arg1 = a... | PaddlePaddle/PARL | parl/remote/tests/cluster_monitor_3_test.py | cluster_monitor_3_test.py | py | 2,074 | python | en | code | 3,097 | github-code | 50 |
32636496240 | from django.conf.urls import url, include
from .views.metadata import resource_metadata_json, geographic_feature_metadata_json, geographic_raster_metadata_json, \
time_series_metadata_json, file_set_metadata_json, multidimensional_metadata_json, \
referenced_time_series_metadata_json, single_file_metadata_json... | hydroshare/hydroshare | hs_rest_api2/urls.py | urls.py | py | 3,060 | python | en | code | 171 | github-code | 50 |
36683165416 | import logging
from telegram import Update
from telegram.error import BadRequest, TelegramError
from telegram.ext import CallbackContext
from bot.conversation import Status
from bot.markups import InlineKeyboard, Keyboard
from database.models import Channel
from utilities import d
logger = logging.getLogger('handler... | zeroone2numeral2/reddit-test | bot/plugins/channel_config/channel_configuration/export_invite_link.py | export_invite_link.py | py | 3,325 | python | en | code | 2 | github-code | 50 |
36860839918 | from dataclasses import dataclass
from pathlib import Path
import pytest
from bluemira.base.constants import raw_uc
from bluemira.base.error import ReactorConfigError
from bluemira.base.logs import get_log_level, set_log_level
from bluemira.base.parameter_frame import (
EmptyFrame,
Parameter,
ParameterFra... | Fusion-Power-Plant-Framework/bluemira | tests/base/reactor_config/test_reactor_config.py | test_reactor_config.py | py | 8,715 | python | en | code | 31 | github-code | 50 |
24719142862 | #-*-coding:utf-8 -*-
#代码详解
#classify函数的参数：
#inX：用于分类的输入向量
#dataSet：训练样本集合
#labels：标签向量
#k：K-近邻算法中的k
#shape：是array的属性，描述一个多维数组的维度
#tile（inX, (dataSetSize,1)）：把inX二维数组化，dataSetSize表示生成数组后的行数，1表示列的倍数。整个这一行代码表示前一个二维
# 数组矩阵的每一个元素减去后一个数组对应的元素值，这样就实现了矩阵之间的减法，简单方便得不让你佩服不行！
#axis=1：参数等于1的时候，表示矩阵中行之间的数的求和，等于0的时候表示列之间数的求和。
#argso... | scales123/machine-learning | book/ch02/kNNpw.py | kNNpw.py | py | 4,448 | python | zh | code | 1 | github-code | 50 |
16185666697 | import os
import boto3
import csv
def get_boto3_client():
#region = self.region
# Dummy Credentials
return boto3.client("ec2",
aws_access_key_id="Value",
aws_secret_access_key="Value",
region_name="Value")... | priya-sharmaa/Tasks | Python/get_faultysg.py | get_faultysg.py | py | 4,401 | python | en | code | 0 | github-code | 50 |
23793199245 | from collections import deque
cases = int(input())
dx = [-2, -1, 1, 2, -2, -1, 1, 2]
dy = [-1, -2, -2, -1, 1, 2, 2, 1]
for i in range(cases):
l = int(input())
a, b = map(int, input().split())
c, d = map(int, input().split())
q = deque()
check = [[-1] * l for i in range(l)]
def bfs(x, y):
... | innjuun/Algorithm | baekjoon/Graph/7562.py | 7562.py | py | 877 | python | en | code | 2 | github-code | 50 |
5651658902 | from typing import List, Union
import tensorflow as tf
class FeatureSpec:
def __init__(self, layer_name: str, working_stride: int = None, width: int = -1):
self.layer_name = layer_name
self.working_stride = working_stride
self.width = width
@classmethod
def from_last_tensor(cls,... | csxeba/Verres | verres/architecture/backbone/base.py | base.py | py | 2,020 | python | en | code | 0 | github-code | 50 |
36213413446 | from art import logo
from replit import clear
def calc(first_num):
operator = input("+\n-\n*\n/\nPick an operation: ").lower()
second_num = float(input("What's the next number?: "))
if operator == '+':
result = first_num + second_num
elif operator == '-':
result = first_num - second_nu... | jman3/100-days-of-python | day10/calculator.py | calculator.py | py | 1,110 | python | en | code | 0 | github-code | 50 |
11264066828 | from requests_html import HTMLSession
session = HTMLSession();
r = session.get('https://www.boannews.com/media/s_list.asp?skind=5')
f = open("security_world_title_content_data.txt", "w", encoding='UTF-8')
print(r.html)
#Get News Title & Content Summary
for line in r.html.find('.news_list'):
print(line.text)
print(... | epicarts/team-crawlcrawl | etc/crawling_test/yeni/security_world_title_content.py | security_world_title_content.py | py | 357 | python | en | code | 7 | github-code | 50 |
19975311840 | import os
import sys
sys.path.append('./utils/midi')
from utils.midi.midi_utils import midiread, midiwrite
from matplotlib import pyplot as plt
import torch
import numpy as np
class PianoGenerationDataset(torch.utils.data.Dataset):
def __init__(self, midi_folder_path, longest_sequence_length=1491):
... | Khamies/Piano-VAE | dataset.py | dataset.py | py | 2,937 | python | en | code | 7 | github-code | 50 |
23832075008 | from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
import matplotlib.patches as patches
from torchvision import transforms
from pycocotools.coco import COCO
import matplotlib.pyplot as plt
import matplotlib.image as im
import torch.utils.data
from PIL import Image
import pandas as pd
import numpy as... | Andrey-Nedov/Mask-RCNN-Traffic-Sign-Recognizer | Release/1_main_script/_main_script 2 (with net).py | _main_script 2 (with net).py | py | 10,861 | python | en | code | 0 | github-code | 50 |
36840944715 | import aiohttp
import asyncio
from aiohttp import web
import requests
routes = web.RouteTableDef()
@routes.get("/parseActivities")
async def save_fact(request):
try:
json_data = await request.json()
#print(json_data)
#print(json_data.get("type"))
if json_data.get("type") == "charity" or json_data.get("type")... | b0rke-mborina/distsys-zadace | 04-zadaci/zadatak1-part2.py | zadatak1-part2.py | py | 814 | python | en | code | 0 | github-code | 50 |
18705959979 | def heapsort(unsorted):
n= len(unsorted)
for i in range(n//2-1,-1,-1): #n//2-1이 의미하는 바는 힙의 자료구조에서 마지막으로 오는 원소의 부모 라인의 노드 index를 말합니다.
heapify(unsorted, i, len(arr))
#이제 최대 힙을 구성하였고 아래에서 정렬이 시작됩니다.
for i in range(n-1,0,-1):
unsorted[0], unsorted[i]=unsorted[i], unsorted[0] #가장 최대인 unsorted[0]을 배열의... | doodung/Algorithm | 정렬/힙정렬.py | 힙정렬.py | py | 1,659 | python | ko | code | 4 | github-code | 50 |
19628336810 | import adventofcode
import hashlib
from collections import deque
SIZE = 4
VAULT_X = 3
VAULT_Y = 3
DIRECTIONS = [0, 1, 2, 3]
DIR_LETTERS = ['U', 'D', 'L', 'R']
DIR_VALUES = [(0, -1), (0, 1), (-1, 0), (1, 0)]
class path:
def __init__(self, key, path, x, y):
self.key = key
self.path = path
s... | bvschaik/advent-of-code | 2016/day17.py | day17.py | py | 2,301 | python | en | code | 0 | github-code | 50 |
42734906839 | from pyspark.sql import SparkSession
import datetime
import pandas as pd
from pyspark.sql.types import *
class CollectHiveData():
def __init__(self, days):
self.spark = SparkSession.builder.config("spark.sql.warehouse.dir", "hdfs://ns1/user/hive/warehouse/").appName(
"collectUidAndTUidData").... | yijianfenghou/PyRecommendationSystem | DSSM/AdDSSMNet_torch/DataSet/collectHiveData.py | collectHiveData.py | py | 4,766 | python | en | code | 2 | github-code | 50 |
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