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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
12522375989 | # Pattern Printing
# Input=Integer not
# Boolean=True or False
#
# True
# *
# **
# ***
# ****
# False
# ****
# ***
# **
# *
#FROM COMMENT TRY NEEL AFTER REVISON
print("How Many Row You Want To Print")
one= int(input())
print("Type 1 Or 0")
two = int(input())
new =bool(two)
if new == True:
for i in range(1,one+1)... | neelshet007/PythonTuts | exercise4.py | exercise4.py | py | 525 | python | en | code | 0 | github-code | 36 |
31070595638 | import reddit
import socketserver
import socketservervideogenerator
from time import sleep
import database
import datetime
from threading import Thread
def getScripts():
global lastUpdate
print("Grabbing more scripts...")
info = reddit.getInfo('AskReddit', 45)
new_scripts = len([script for ... | drewwebster/Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader | YouTube Bot Server/initserver.py | initserver.py | py | 1,512 | python | en | code | 2 | github-code | 36 |
42997186771 | import base64
import hashlib
import hmac
import time
import requests
import jwt
from flask import request
class GitHubApp(object):
def __init__(self, app=None):
self.app = app
if app is not None:
self.init_app(app)
def init_app(self, app):
self.webhook_secret = None
... | cabotage/cabotage-app | cabotage/server/ext/github_app.py | github_app.py | py | 2,642 | python | en | code | 21 | github-code | 36 |
9689017723 | import pep8
# Mixin for testing the pep8 style rules
class Pep8ModelTests(object):
def test_pep8_conformance_views(self):
pep8style = pep8.StyleGuide(quiet=True)
result = pep8style.check_files([self.path])
error_message = ""
if result.total_errors != 0:
error_message ... | Contrast-Security-OSS/DjanGoat | app/tests/mixins/pep8_model_test_mixin.py | pep8_model_test_mixin.py | py | 462 | python | en | code | 69 | github-code | 36 |
11111121290 | from django.test import TestCase
from .models import Producto, Categoria, CategoriaDetalle
from django.contrib.auth import get_user_model
class Categories(TestCase):
def setUp(self):
# Crear categorías para la prueba
self.cat1 = Categoria.objects.create(nombre='Kit')
self.cat2 = Categoria.... | is-Campos/ethnicBites | categorias/tests.py | tests.py | py | 2,937 | python | es | code | 0 | github-code | 36 |
6284906050 | import sys
def main(args):
lines = []
with open("input6-1") as f:
lines = f.readlines()
coords = []
for line in lines:
line = line.strip()
toks = line.split(',')
coords.append((int(toks[0]), int(toks[1])))
print(coords)
max_x = -1
max_y = -1
for c in c... | alienfluid/aoc2018 | day6-1.py | day6-1.py | py | 2,418 | python | en | code | 0 | github-code | 36 |
14276105253 | #Script used to take a word or phrase and count the inputted letter inside the word or phrase
def count_letters():
word=input('enter word: ')
x=input('count which letter ?: ')
count=0
index=0
for letter in word :
if x == word[index] :
count=count+1
index = index + 1
... | OmegaJP/git_practice | python_scripts/Chapter06/Ex_03_C6.py | Ex_03_C6.py | py | 365 | python | en | code | 0 | github-code | 36 |
74666999465 | import os
from math import cos, sin, sqrt, pi
import numpy as np
import pyvista as pv
from planegeometry.geometry import Triangle
def Gamma(t, A, nlobes):
alpha = np.pi/2 - (np.pi/2-A)*np.cos(nlobes*t)
beta = t + A*np.sin(2*nlobes*t)
return np.array([
np.sin(alpha) * np.cos(beta),
np.sin(alpha) * np.sin... | stla/PyVistaMiscellanous | HopfToriSteinerOrbit.py | HopfToriSteinerOrbit.py | py | 3,714 | python | en | code | 4 | github-code | 36 |
23622792802 | import os.path
import numpy
import pickle
import streamlit as st
import statistics
from matplotlib import pyplot as plt
import seaborn as sb
from PIL import Image
from tools.analyse_tool import CompleteAnalysis
from objects.training_set import TrainingSet
from objects.patient import Patient
def warning():
color1... | Data-Challenge-Team-8/data_challenge_team_8 | web/categories/sepsis_research.py | sepsis_research.py | py | 10,177 | python | en | code | 1 | github-code | 36 |
22689168957 | import sqlite3
con = sqlite3.connect('people.db')
c = con.cursor()
c.execute(""" INSERT INTO users (tag_num, "temp", humidity, light_intensity) VALUES ('13 05 5e 0d', 23, 0, 200)""")
con.commit()
con.close()
| KrikorAstour/IoT | phase4/poop.py | poop.py | py | 212 | python | en | code | 0 | github-code | 36 |
28508591217 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from numpy import sometrue, array, ravel, logical_not, zeros, float32, maximum, equal, int32
from numpy import arcsin, sqrt
from numpy import ma
fro... | psrc/urbansim | biocomplexity/land_cover/shei.py | shei.py | py | 4,909 | python | en | code | 4 | github-code | 36 |
36663511828 | import os
os.environ['KERAS_BACKEND'] = 'tensorflow'
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from konlpy.tag import Okt
from tensorflow.keras.layers import Embedding, Dense, LSTM
from tensorflow.keras.models import Sequential
import pan... | woqls22/StockNews | BackEnd/PythonScripts/train.py | train.py | py | 4,385 | python | en | code | 3 | github-code | 36 |
15134742588 | from fileinput import filename
import logging
import logging
import os
import pandas as pd
from ekorpkit import eKonf
log = logging.getLogger(__name__)
class Quandl:
def __init__(self, **args):
from fredapi import Fred
import nasdaqdatalink
self.args = eKonf.to_dict(args)
self.a... | entelecheia/ekorpkit | ekorpkit/io/fetch/quandl.py | quandl.py | py | 7,608 | python | en | code | 4 | github-code | 36 |
21251148822 | #!/usr/bin/env python3
"""
Demo of using the pan and tilt servo kit.
This demo assumes you have purchased the Pixy pan and tilt kit. You can connect the servos in two places:
1. Just plug the servos into servo ports on the Arduino 3, 9, or 10 (NOT 11!). This demo uses 3 and 10.
2. Plug the servos in on the Pi... | MrYsLab/pymata-aio | examples/sparkfun_redbot/pixy/simple_servo_sweep_config_1.py | simple_servo_sweep_config_1.py | py | 3,254 | python | en | code | 154 | github-code | 36 |
2847551483 | # QUs:https://leetcode.com/problems/delete-nodes-and-return-forest/
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
from collections import defaultdict
class Solution... | mohitsinghnegi1/CodingQuestions | leetcoding qus/Delete Nodes And Return Forest.py | Delete Nodes And Return Forest.py | py | 1,780 | python | en | code | 2 | github-code | 36 |
533968659 | print("ASSIGNMENT-1\nNAME-SUNPREET SINGH\nSID-21103118\n\n")
# QUESTION 1
print("Question 1\n")
#Python Program for finding average of three numbers
iFirstNo=input("Enter first number\n")
iSecondNo=input("Enter second number\n")
iThirdNo=input("Enter third number\n")
#Average of three numbers
fAvg=(in... | GevaterTod/PYTHONASSIGNMENTS | assignment1_21103118_cse.py | assignment1_21103118_cse.py | py | 2,806 | python | en | code | 0 | github-code | 36 |
74541858984 | from django import forms
from users.models import Project, Project_pictures, Comment, Donation, Reply
import datetime
class AddProjectForm(forms.ModelForm):
class Meta:
model = Project
fields = (
"title",
"details",
"total_target",
"start_date",
... | asaid-0/pyreads | projects/forms.py | forms.py | py | 2,835 | python | en | code | 0 | github-code | 36 |
25948284193 | import torch
# import torch.utils
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as transforms
from torchvision.datasets import CIFAR10
import torch.optim as optim
torch.manual_seed(1234)
ratio = 0.1
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
transform ... | bbrk13/Ceng499_THE1 | task2.py | task2.py | py | 2,848 | python | en | code | 0 | github-code | 36 |
12178499748 | from odoo.tests.common import TransactionCase
class TestUsers(TransactionCase):
def test_name_search(self):
""" Check name_search on user. """
User = self.env['res.users']
test_user = User.create({'name': 'Flad the Impaler', 'login': 'vlad'})
like_user = User.create({'name': 'Wlad... | akradore/odoo-windows | server/odoo/addons/base/tests/test_res_users.py | test_res_users.py | py | 1,338 | python | en | code | 5 | github-code | 36 |
21131376574 | import json
import requests
FB = 'https://graph.facebook.com'
"""Python client library for the Facebook ads API."""
class AdsAPI(object):
"""A client for the Facebook Ads API."""
def __init__(self, ad_account_id, access_token=None, expires=None):
self.ad_account_id = ad_account_id
self.acc... | narrowcast/keywords | ads.py | ads.py | py | 3,407 | python | en | code | 0 | github-code | 36 |
6084342501 | def reorder_list(head):
# we can use 2 pointer approach
# find the middle of the list
slow, fast = head, head.next
while fast and fast.next:
slow = slow.next
fast = fast.next.next
# then we reverse the second half
second = slow.next
prev = slow.next = None
while secon... | phuclinh9802/data_structures_algorithms | blind 75/reorder_list.py | reorder_list.py | py | 633 | python | en | code | 0 | github-code | 36 |
20612540072 | import networkx as nx
import random
import matplotlib.pyplot as plt
def main():
# Watts Strogatz Ring Graph
# do it at various levels
ring_lattice = nx.watts_strogatz_graph(100, 4, 0)
# nx.draw(ring_lattice)
# plt.draw()
# plt.show()
print("Ring simple ", simple_contagion(ring_lattice, 0))... | nxlouie/complex_contagions | eecs444_project.py | eecs444_project.py | py | 4,950 | python | en | code | 2 | github-code | 36 |
26006767642 | from time import sleep
class Dog:
def __init__(self, name, idade, sexo):
self.name = name
self.idade = idade
self.sexo = sexo
def latir(self):
print("Au Au")
def dormir(self):
print(f"{self.name} está dormindo...")
class Carro:
def __init__(self, marca, cor)... | JolyneKo/Code | Python/Testes/Teste 07/index.py | index.py | py | 966 | python | pt | code | 0 | github-code | 36 |
19920196010 | #result gives the largest distance of values farthest
def solution(A):
#hash = {}
N = len(A)
currMax = 0
max = N-1
for i in xrange(N):
key = A[i]
buffResult = N - 1 - i
window = 0
for j in range(N-1,i,-1):
curr = A[j]
if(key == curr):
... | david19han/pythonPlayground | myprogram.py | myprogram.py | py | 498 | python | en | code | 0 | github-code | 36 |
74113986983 | from enum import Enum, IntEnum
from typing import List, Optional, Set
from odmantic import Model
import datetime
class EntryType (str, Enum):
"""[summary]
An entry performed by the user.
[description]
A user can record of three types of entries:
1) Traumatic Event
2) Journal En... | blevinscm/patapi | app/data/models.py | models.py | py | 2,731 | python | en | code | 0 | github-code | 36 |
37350650967 | import pytest
from gpaw.utilities import compiled_with_libvdwxc
from ase.build import bulk
from gpaw import GPAW, Davidson, Mixer, PW
from gpaw.xc.libvdwxc import vdw_mbeef
from gpaw.test import gen
pytestmark = pytest.mark.skipif(not compiled_with_libvdwxc(),
reason='not compiled_wi... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/test/vdw/test_libvdwxc_mbeef.py | test_libvdwxc_mbeef.py | py | 1,075 | python | en | code | 0 | github-code | 36 |
33167792265 | from ast import List
import random
from typing import Callable, Tuple
import functools
class Genetics:
def __init__(self, domain: tuple, population_len: int, mutation_rate: float = 0, evaluation_cb: Callable[[float, float], float] = lambda x, y: 0, minima=False, seed=None) -> None:
self.domain = domain
... | Fairbrook/algoritmo_evolutivo | src/genetics.py | genetics.py | py | 4,295 | python | en | code | 0 | github-code | 36 |
8324961764 | n, m, v, u = map(int, input().split())
print(v, u)
mos = []
for i in range(m):
a = list(map(int, input().split()))
mos.append(a)
print(mos)
k = int(input())
if k != 0:
zat = list(map(int, input().split()))
else:
zat = []
print(zat)
ways = []
c = False
for i in mos:
if v in i:
... | gavt45/nti_2017_gornostay | wave_2/ilya_solutions/6-7/6.py | 6.py | py | 928 | python | en | code | 1 | github-code | 36 |
15954616766 | import os, sys
import pickle
sys.path.append("../../../")
from data.otb import *
from forecasters import load_forecaster
import torch as tc
if __name__ == "__main__":
dsld = loadOTB("../datasets/otb", 100, bb_format="xyxy")
ld_names = ['val1', 'val2', 'test']
lds = [dsld.val1, dsld.val2, dsld.test]
... | sangdon/PAC-confidence-set | demo/conf_set/otb/extract_response.py | extract_response.py | py | 1,182 | python | en | code | 7 | github-code | 36 |
12429439023 | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
import re
import string
import joblib
from sklearn.feature_extraction.... | Pj-develop/ML_FAKE_NEW_DETECTION | best_chooser.py | best_chooser.py | py | 2,728 | python | en | code | 0 | github-code | 36 |
34325207808 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
#Author: Read AUTHORS file.
#License: Read COPYING file.
import xml.etree.cElementTree as etree
from os import path
from pkg import pkg
from constants import const
from ..lib import eventHandler, listdir, getfile, ratioCalc
class pkgdir(object):
def __init__(... | pardus-anka/paso | src/engine/packages/packages.py | packages.py | py | 2,158 | python | en | code | 0 | github-code | 36 |
13910036602 | """Module to write data classes information."""
# Python packages
import yaml
import logging as log
# write_data_class ------------------------------------------------------------
def write_data_class(data, file='data.yaml'):
"""Take a data object and write its attributes.
Args:
data: object with __... | jorgerodriguezveiga/firedecomp | firedecomp/utilities/write.py | write.py | py | 1,536 | python | en | code | 0 | github-code | 36 |
33102651292 | from datetime import timedelta, datetime
import os
from airflow import DAG
from google.cloud import storage
from airflow.utils.dates import days_ago
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.bash import BashOperator
from airflow.decorators import task, dag
from airflow.operators... | Rohitjoshi07/FHVDataAnalysis | airflow/dags/spark-dataproc.py | spark-dataproc.py | py | 4,553 | python | en | code | 0 | github-code | 36 |
15991440245 | import torch.nn as nn
import torch
import torch.nn.functional as F
up_kwargs = {'mode': 'bilinear', 'align_corners': True}
norm_layer = nn.BatchNorm2d
class Conv2dReLU(nn.Sequential):
def __init__(
self,
in_channels,
out_channels,
kernel_size,
padding=... | zyxu1996/Efficient-Transformer | models/head/unet.py | unet.py | py | 5,457 | python | en | code | 67 | github-code | 36 |
20102072281 | import cv2
import numpy as np
import os
import time
label_names = ['scissors']
for label_name in label_names:
IMG_SAVE_PATH = 'test_images2'
IMG_CLASS_PATH = os.path.join(IMG_SAVE_PATH, label_name)
try:
os.mkdir(IMG_SAVE_PATH)
except FileExistsError:
pass
try:
os.mkdir(IMG_CLASS_P... | miir2709/rock-paper-scissors | imageGenerate/captureImage.py | captureImage.py | py | 1,197 | python | en | code | 0 | github-code | 36 |
70322815465 | """
TACCJM Hug Server
Server for managing instances of TACCJobManager classes via http endpoints
using the hug framework.
TODO: Add more extensive logging
"""
import pdb
import os
import hug
import falcon
import logging
import json
from typing import Union, List, Tuple
from taccjm.TACCJobManager import TACCJobManager... | cdelcastillo21/taccjm | src/taccjm/taccjm_server.py | taccjm_server.py | py | 12,602 | python | en | code | 2 | github-code | 36 |
20145792954 | import argparse
import inspect
def parse_funct_arguments(fn, args=None, free_arguments=None):
if free_arguments is None:
free_arguments = []
fn_parser = argparse.ArgumentParser()
sign = inspect.signature(fn)
for pname, pval in sign.parameters.items():
if pname not in free_arguments:
... | antonior92/narx-double-descent | util.py | util.py | py | 588 | python | en | code | 6 | github-code | 36 |
31057530307 | '''
JexoSim
2.0
Recipe 3 with ability to split timeline into chunks - used to test split method
'''
from jexosim.modules import exosystem, telescope, channel, backgrounds
from jexosim.modules import detector, timeline, light_curve, systematics, noise, output
from jexosim.pipeline.run_pipeline import pipeline_stage_1,... | subisarkar/JexoSim | jexosim/run_files/recipe_3a.py | recipe_3a.py | py | 17,161 | python | en | code | 6 | github-code | 36 |
14061566995 | import time
import json
from typing import *
import prestodb # pip install presto-python-client
class PrestoClient:
def __init__(self):
props = {"enable_hive_syntax": "true"}
self.conn = prestodb.dbapi.connect(
host="presto.bigo.sg",
port=8285,
user="baijialuo"... | ThreeBucks/model-deploy | scripts/extract_report_data.py | extract_report_data.py | py | 1,588 | python | en | code | 0 | github-code | 36 |
4162697796 | import asyncio
import aiofiles
# Define an async function to write data to a file
async def write_to_file(filename, data):
# Open the file for writing using async with, which ensures the file is closed
# when we're done with it
async with aiofiles.open(filename, 'w') as f:
# Write the data to the f... | PythonCodeNemesis/Python_Event_Loop | file_update_loop_2.py | file_update_loop_2.py | py | 1,482 | python | en | code | 0 | github-code | 36 |
9194759746 | from PIL import Image
import unittest
from lightly.transforms import GaussianBlur
class TestGaussianBlur(unittest.TestCase):
def test_on_pil_image(self):
for w in range(1, 100):
for h in range(1, 100):
gaussian_blur = GaussianBlur(w * 0.1)
sample = Image.new('... | tibe97/thesis-self-supervised-learning | tests/transforms/test_GaussianBlur.py | test_GaussianBlur.py | py | 372 | python | en | code | 2 | github-code | 36 |
70167432424 | import os
import mongoengine
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = '6c8+rfm8e6#bt&13$+4#(btshtf7#^)y3e@58=lzrxd5j4%q(m'
DEBUG = True
ALLOWED_HOSTS = ['*']
REST_FRAMEWORK = {
'UNAUTHENTICATED_USER': None
}
# Application definition
INSTALLED_APPS = [
'rest_f... | knroy/django-pds | sample/mongo_django/mongo_django/settings.py | settings.py | py | 1,169 | python | en | code | 3 | github-code | 36 |
33917629928 | # importacao de bibliotecas
import requests
import csv
# import datetime (NAO SERA UTILIZADO E NAO FUNCIONOU NO PYCHARM)
from PIL import Image
from urllib.parse import quote
from time import sleep
# recebendo os dados da API
url = 'https://api.covid19api.com/dayone/country/brazil'
requisicao = requests.get(url)
dados_... | gabrieleugeni0/Covid19DataGraphic | covid19.py | covid19.py | py | 4,876 | python | pt | code | 1 | github-code | 36 |
950940082 | pkgname = "gtar"
pkgver = "1.35"
pkgrel = 0
build_style = "gnu_configure"
configure_args = [
"--program-prefix=g",
"gl_cv_struct_dirent_d_ino=yes",
]
configure_gen = []
hostmakedepends = ["texinfo"]
makedepends = ["acl-devel"]
pkgdesc = "GNU tape archiver"
maintainer = "q66 <q66@chimera-linux.org>"
license = "G... | chimera-linux/cports | main/gtar/template.py | template.py | py | 528 | python | en | code | 119 | github-code | 36 |
18109339052 | #! /usr/bin/python3
# -*- coding: utf-8 -*-
import rospy
import subprocess
import threading
from tkinter import *
from geometry_msgs.msg import Twist
import subprocess
from std_msgs.msg import String
import threading
class UI:
def __init__(self, master=None):
self._enable = False
self... | DanielFrauAlfaro/Proyecto_Servicios | kinova_UI/scripts/kinova_UI.py | kinova_UI.py | py | 6,374 | python | es | code | 0 | github-code | 36 |
6504291760 | # import sys
from collections import deque
# from io import StringIO
#
# test_input1 = """11, 6, 8, 1
# 3, 1, 9, 10, 5, 9, 1
# """
#
#
# test_input2 = """10, 9, 8, 7, 5
# 5, 10, 9, 8, 7
# """
#
# test_input3 = """12, -3, 14, 3, 2, 0
# 10, 15, 4, 6, 3, 1, 22, 1
# """
#
# sys.stdin = StringIO(test_input1)
# sys.stdin = S... | gyurel/Python-Advanced-Course | python_advanced_retake_exam_14_april_2021/problem1.py | problem1.py | py | 1,221 | python | en | code | 0 | github-code | 36 |
21632921628 | import pandas as pd
from scipy.stats import spearmanr, pearsonr, kendalltau
import os
import numpy as np
base_path = 'output_alignment/alignment_checkpoint/'
dfs = []
for file in os.listdir(base_path):
dfs.append(pd.read_csv(os.path.join(base_path, file)))
df1 = pd.concat(dfs)
# df1 = pd.read_csv('output_alignmen... | maor63/sana_project | compute_spearman_correlation_for_alignments.py | compute_spearman_correlation_for_alignments.py | py | 1,962 | python | en | code | 0 | github-code | 36 |
22688875816 | from logging import error
import random
import datetime
from app.lessons import LESSONS_BY_ID
from flask import jsonify, g, request
from app import app, db
from app.api.auth import api_admin_login_required, api_login_required, error_response
from app.models import Puzzle, PuzzleCompletion, Test
from flask_sqlalchemy i... | APM246/Atomic-Chess | app/api/puzzles_api.py | puzzles_api.py | py | 5,650 | python | en | code | 2 | github-code | 36 |
8429282748 |
def main():
"""
Matrix is assumed to be like this:
A B C D
A 0 2 3 7
B 2 0 6 4
C 3 6 0 1
D 7 4 1 0
Sample test files have also been uploaded
"""
filename = input(" Enter filename (e.g. tree.txt):")
#Extraction of data
listform = []
myFile = open(filename, "r" )
for Row in myFi... | HassaanAW/Computational-Biology | Phylogenetic Tree.py | Phylogenetic Tree.py | py | 4,128 | python | en | code | 0 | github-code | 36 |
15947687332 | def process(dae_dir_path, out_dir_path):
import os
if not os.path.exists(dae_dir_path):
print('Path "%s" does not exist' % dae_dir_path)
return
if not os.path.exists(out_dir_path):
os.makedirs(out_dir_path)
files = os.listdir(dae_dir_path)
for file in files:
if file.endswith('.dae'):
file = dae_dir_pat... | XinJack/UsefulScripts | collada2gltfWrapper_python/collada2gltf.py | collada2gltf.py | py | 751 | python | en | code | 0 | github-code | 36 |
9914536662 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import time
import stat
import io
import ctypes
import struct
import zlib
# https://users.cs.jmu.edu/buchhofp/forensics/formats/pkzip.html
# https://pkware.cachefly.net/webdocs/casestudies/APPNOTE.TXT
# https://en.wikipedia.org/wiki/Zip_(file_format)#File_headers
... | aykevl/python-zipseeker | zipseeker/__init__.py | __init__.py | py | 10,783 | python | en | code | 2 | github-code | 36 |
38447232162 |
@login_required
@require_http_methods(['POST'])
def update_user_image(request):
form = UpdateImageProfileForm(request.POST, request.FILES)
data = {'status': 'success'}
if form.is_valid():
LOGGER.info('trying to update profile picture')
try:
(filename, image) = _resize_image(form... | carlos-mtz-arenas/py_utils | django_resize_image_endpoint.py | django_resize_image_endpoint.py | py | 1,447 | python | en | code | 0 | github-code | 36 |
2266175166 | import dash_core_components as dcc
import dash_html_components as html
from dash_devices.dependencies import Input, Output, State
import numpy as np
import pandas as pd
import sys
import re
import num2words
from app import app
from apps import user_mode
sys.path.insert(1, 'C:\\Users\\Antoine\\CloudStation... | antoine-zurcher/master-project | prototype/apps/god_mode.py | god_mode.py | py | 37,217 | python | en | code | 0 | github-code | 36 |
34212026055 | # 19.09.28
stic1 = [12,12,12,12,12]
stic2 = [12,80,14,22,100]
def get_maximum(stic):
stic_len = len(stic)
dp = [0]*stic_len # stic_len 만큼 dp배열 생성
# 초기화
dp[0] = stic[0]
dp[1] = max((stic[0], stic[1]))
# dp
for i in range(2, stic_len):
dp[i] = max((stic[i]+dp[i-2], dp[i-1] ))
... | chankoo/problem-solving | dp/prog_1909_3.py | prog_1909_3.py | py | 433 | python | en | code | 1 | github-code | 36 |
8087397109 | from transformers import BertTokenizer, BertModel
import torch
class Bert:
def __init__(self):
self.model = BertModel.from_pretrained("bert-base-uncased", output_hidden_states = True)
self.tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
self.device = torch.device('cuda:0' if... | aberenguerpas/inferia | services/embeddings/Bert.py | Bert.py | py | 806 | python | en | code | 0 | github-code | 36 |
4354535219 | from collections import OrderedDict
from datetime import date, datetime
from decimal import Decimal, ROUND_DOWN
from models import models
from peewee import fn
from playhouse.shortcuts import model_to_dict
from pytz import timezone
from time import time
import app_config
import copytext
import simplejson as json
impor... | nprapps/elections16 | app/utils.py | utils.py | py | 11,492 | python | en | code | 15 | github-code | 36 |
71877360104 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import logging
from executions import Program
def main():
program_name = sys.argv[2]
logging.basicConfig(level=logging.DEBUG, format="%(asctime)s [%(levelname)s] %(message)s", filename="process-dtrace.log", filemode='w')
logging.debug("Starting wo... | danilchenko-andrey/trace-models | process_dtrace.py | process_dtrace.py | py | 1,101 | python | en | code | 0 | github-code | 36 |
469422111 | from argparse import ArgumentParser
from threading import Thread, current_thread
import logging
import time
from sloq import SlowQueue
def main(args=None):
prog = ArgumentParser()
prog.add_argument("-n", type=int, default=10, metavar="TASK_COUNT",
help="The number of tasks")
prog.ad... | duedil-ltd/python-sloq | demo_sloq.py | demo_sloq.py | py | 2,091 | python | en | code | 3 | github-code | 36 |
33362276648 | import cv2
import base64
import json
import time
import os
import numpy
class Recognition:
"""
This class contain everything required to detect, learn or recognize a face
"""
db_path = "database/"
name_list_path = "database/"
def __init__(self, haar_cascade_file_path):
self.haar_casca... | farshid616/clinet-server_FaceRecognition | recognition.py | recognition.py | py | 5,116 | python | en | code | 3 | github-code | 36 |
6797375421 | from django.core.management.base import BaseCommand
from mailer.models import Message
class Command(BaseCommand):
help = 'Update server name in emails'
def add_arguments(self, parser):
# Positional arguments
parser.add_argument('from_server', nargs='+', type=str)
parser.add_argument(... | tomasgarzon/exo-services | service-exo-mail/mail/management/commands/update_server_name.py | update_server_name.py | py | 1,016 | python | en | code | 0 | github-code | 36 |
22056037109 | import os
import re
import sys
import time
from setuptools import setup
HERE = os.path.dirname(__file__)
ROOT_DIR = os.path.abspath(os.path.join(HERE, os.pardir))
TEMP_PATH = "target"
in_src = os.path.isfile(os.path.join(ROOT_DIR, "pom.xml"))
if in_src:
pom_file = os.path.join(ROOT_DIR, 'pom.xml')
with open(... | piotrszul/sparktest | python/setup.py | setup.py | py | 1,848 | python | en | code | 0 | github-code | 36 |
73654029544 | from typing import Any, List
from common import TestResult
from proc import SubprocessAppController
from runner import Runner
from validation import TestExecutionValidator, validate_all
from web import TestGetUrl, TestPostToUrl
class NetworkMetricsCollectedValidator(TestExecutionValidator):
def __init__(self, a... | criblio/appscope | test/integration/test_runner/nginx.py | nginx.py | py | 1,535 | python | en | code | 248 | github-code | 36 |
74877532582 | from tkinter import *
from tkinter import filedialog
from PIL import ImageTk, Image
import os
from tkinter import messagebox
root = Tk()
root.minsize(650,650)
root.maxsize(650,650)
root.configure(background='gray')
open_img = ImageTk.PhotoImage(Image.open("open.png"))
save_img = ImageTk.PhotoImage(Image.o... | arjun380/P-IDE | P-Ide.py | P-Ide.py | py | 1,151 | python | en | code | 0 | github-code | 36 |
15167501320 | """
@author: amal machtalay
"""
import torch
from torch import optim
from torchvision import models
def save_checkpoint(model, optimizer, name, epoch, image_datasets, path):
model.class_to_idx = image_datasets['training'].class_to_idx
torch.save({'name': name,
'epoch': epoch,
... | amalmach/image_classifier | project_2/save_load_checkpoint.py | save_load_checkpoint.py | py | 1,287 | python | en | code | 0 | github-code | 36 |
21841926557 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 16 17:17:57 2015
Kepler problem and modified equations.
Apply the Stoermer-Verlet to the plannar Kepler problem
H(q, p) = 1/2p^Tp - 1/||q||, q, p belong to R^2.
Use the BCH formular (L + R 5.40) to compute the second-order correction of
the mod... | Rhys314/Simulating_Hamiltonian_Dynamics | Section5,5_Ex6.py | Section5,5_Ex6.py | py | 1,760 | python | en | code | 0 | github-code | 36 |
33718292699 | def solution(bridge_length, weight, truck_weights):
answer=1
from collections import deque
bridge=deque([0]*bridge_length)
total=0
for truck in range(len(truck_weights)):
while True:
removed=bridge[0]
if total-removed+truck_weights[truck]>weight:
bridg... | ayocado/algorithm-study | heewon00/스택, 큐/PGS level2 다리를 지나는 트럭.py | PGS level2 다리를 지나는 트럭.py | py | 709 | python | en | code | 0 | github-code | 36 |
34499172798 | import tkinter as tk
from tkinter import messagebox
import random
#defininindo as configurações do jogo
NUM_LINHAS = 4
NUM_COLUNAS = 4
CARTAO_SIZE_W = 10
CARTAO_SIZE_H = 5
CORES_CARTAO = ['red', 'blue', 'green', 'yellow', 'purple', 'orange', 'magenta', 'gray']
COR_FUNDO = "#343a40"
COR_LETRA = "#ffffff"
F... | Zpkbiel/prog23gabriel | trabalho de progamação 2.py | trabalho de progamação 2.py | py | 3,707 | python | pt | code | 0 | github-code | 36 |
27401072653 | import subprocess
emotions = ['Angry', 'Disgust', 'Fear', 'Happy', 'Sad', 'Surprise']
distances = ['/home/hamza/AffectiveTDA2/hera/bottleneck/bottleneck_dist', '/home/hamza/AffectiveTDA2/hera/wasserstein/wasserstein_dist']
subsections = [
('leftEye', 'rightEye', 'leftEyebrow', 'rightEyebrow', 'nose', 'mouth', 'ja... | USFDataVisualization/AffectiveTDA | topological_distance.py | topological_distance.py | py | 1,464 | python | en | code | 1 | github-code | 36 |
5812334986 | import babel
import babel.numbers
import babel.plural
from typing import Any, Callable, Dict, List, TYPE_CHECKING, Tuple, Union, cast
from typing_extensions import Literal
from fluent.syntax import ast as FTL
from .builtins import BUILTINS
from .prepare import Compiler
from .resolver import CurrentEnvironment, Messag... | projectfluent/python-fluent | fluent.runtime/fluent/runtime/bundle.py | bundle.py | py | 4,408 | python | en | code | 185 | github-code | 36 |
5315481317 |
import re
class Pattern(object):
def __init__(self, name, regex):
self.name = name
self.pattern = re.compile(regex)
def match(self, input, index):
return self.pattern.match(input, index)
class Terminal(object):
def __init__(self, name, value):
self.name = name... | msiddalingaiah/TDOP | py/TDOP.py | TDOP.py | py | 6,660 | python | en | code | 0 | github-code | 36 |
29861997533 | from dataclasses import dataclass
import aiohttp
import time
from datetime import datetime
import orjson
import aiofiles
import asyncio
import logging
_LOGGER = logging.getLogger(__name__)
from .const import JSON_CACHE_FILE
@dataclass
class InverterData:
serial_number: str
firmware_version: str|None
mod... | tmulkern/SolisWifiDataLogger | custom_components/solis_wifi_data_logger/solis_wifi_api.py | solis_wifi_api.py | py | 7,146 | python | en | code | 0 | github-code | 36 |
4419557828 | import sys
import pygame
import random
pygame.init()
pygame.display.set_caption("who is the caption")
window = pygame.display.set_mode((500,500))
font = pygame.font.Font("思源黑体.otf",35)
wheel_pics = []
for i in range(25):
filename = './pics/' + str(i) + '.png'
pic = pygame.image.load(filename)
... | Julia1976/python-project | Game Handling/Chosing the name/新的作品-55-1.py | 新的作品-55-1.py | py | 1,389 | python | en | code | 0 | github-code | 36 |
10121862874 | class Standalone(object):
"""Common class for all standalone applications"""
def __init__(self, args, user_options):
# stores the arguments
self.args = args
self.user_options = user_options
if len(args) == 1:
# shows the help message if no arguments provided
... | cellnopt/cellnopt | cno/core/standalone.py | standalone.py | py | 1,405 | python | en | code | 10 | github-code | 36 |
16442940700 | def main():
num_emps = int(input('How many employees record to create? '))
with open('employee.txt','w') as emp_file:
emp_file.write('Name\t')
emp_file.write('ID number\t')
emp_file.write('Department\t')
emp_file.write('\n')
for emp in range(1, num_emps + 1):
... | thanhtugn/python_core_thanhtugn | lesson_08/solution_assignment_05.py | solution_assignment_05.py | py | 1,359 | python | en | code | 1 | github-code | 36 |
6212641952 | ##########################################################
# File: Config.py
# Author: Jose Perez <josegperez@mail.com>
# Version: Model v5
#
# Modify this file to your heart's content
# Here we have constants used by my code
# I put them all in one place so they can be easy to modify
#
################################... | DeveloperJose/Python-Multiscale-Cell-Simulation | Simulation/Config.py | Config.py | py | 1,359 | python | en | code | 1 | github-code | 36 |
13735356077 |
import os
import sys
import numpy as np
import PIL
import torch
import torch.utils.data
import torchvision
import matplotlib.pyplot as plt
import pickle
class AkMinitImagenetDataset(torch.utils.data.Dataset):
def __init__(self, rootdir_dataset, str_trainortestorinducing):
#grab args ===
self.... | blindreviewgtdxjnsd/gpex_blindreview | PaperResults/MiniImagenet/loadminiimagenet.py | loadminiimagenet.py | py | 2,624 | python | en | code | 0 | github-code | 36 |
32921124712 | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import datetime
import re
import redis
import scrapy
from scrapy.loader import ItemLoader
from scrapy.loader.processors import TakeFirst, MapCompose, Join, Identity
f... | Umi101108/Spider | www.jobbole.com/ArticleSpider/ArticleSpider/items.py | items.py | py | 4,739 | python | en | code | 2 | github-code | 36 |
37661910708 | import numpy as np
from math import pi
import time
from scipy.sparse.linalg import eigs, eigsh, spsolve, lobpcg
class Solution:
def __init__(self, stiffness_matrix, mass_matrix, **kwargs):
self.stiffness_matrix = stiffness_matrix.tocsc()
self.mass_matrix = mass_matrix.tocsc()
self.Kr = kw... | atbrandao/OpenPulse_f | pulse/engine/solution.py | solution.py | py | 8,010 | python | en | code | null | github-code | 36 |
9663828561 | import os
import pickle
from tqdm import tqdm
import multiprocessing as mp
import itertools
import numpy as np
import functools
from termcolor import colored
import time
from numba import jit
SAVE_DIR = 'iterator_saves'
EXPENDABLE_MEMORY = 5 # in Gig
class Iterator:
def __init__(self, width, height, _print=Fals... | m1a9l9t7e/RoadGenerator | ip/iterative_construction.py | iterative_construction.py | py | 12,413 | python | en | code | 2 | github-code | 36 |
6514242070 | """
Author: Inigo Hohmeyer
Date: May 9th, 2022
Programming Assignment 4: Naive Bayes Text Classification
"""
import copy
import math
import re
import sys
N = 5
# this function updates the current
# dictionary with the counts from the current dictionary
def update(current_dict, overall):
for i in current_dict:... | hohmeyer/AIAssignment4 | main.py | main.py | py | 7,019 | python | en | code | 0 | github-code | 36 |
33039659569 | class Solution(object):
def findLengthOfLCIS(self, nums):
if len(nums) == 0:
return 0
temp = [1]*(len(nums) + 1)
for i in range(1, len(nums)):
if nums[i] > nums[i - 1]:
temp[i] = 1 + temp[i - 1]
return max(temp)
print(Solution.... | NikitaFir/Leetcode | Longest Continuous Increasing Subsequence.py | Longest Continuous Increasing Subsequence.py | py | 403 | python | en | code | 0 | github-code | 36 |
17113250880 | import string
fname = input("Enter a file name: ")
try:
fhand = open(fname)
except:
print("File is not found:",fname)
counts = dict()
for line in fhand:
line = line.rstrip()
line = line.lower()
line = line.translate(line.maketrans('','',string.punctuation))
line = line.translate((line.maketran... | amrmabdelazeem/PythonForEverybody | exercise10.12.3.py | exercise10.12.3.py | py | 766 | python | en | code | 0 | github-code | 36 |
40177340538 | """
Cultural Evolution Simulation (Yummy_Recipe)
Ali Fazeli
Final Project of B.sc Level in Computer Engineering
Task: Simulate changes in recipes within a population of Agents over several
generations depending on different rule sets.
"""
idA = 0
# All Agents ever cre... | alifzl/Final_B.Sc_Project | second_and_probably_last/Yummy_Recipe/Config.py | Config.py | py | 1,183 | python | en | code | 2 | github-code | 36 |
39274579320 | import os
from ..auth.auth_handler import create_jwt
from postmarker.core import PostmarkClient
from ..models.attendee import Attendee
from fastapi import APIRouter, HTTPException, Depends, Request
from pyairtable.api.table import Table
from ..dependencies import get_registration_table
from email_validator import valid... | LosAltosHacks/api | app/routers/register.py | register.py | py | 4,977 | python | en | code | 0 | github-code | 36 |
70562613224 | from collections import deque
from heapq import heappush, heappop
def solution(priorities, location):
priority_heap = []
queue = deque()
count = 0
for idx, priority in enumerate(priorities):
queue.append((priority, idx))
heappush(priority_heap,(-priority, priority))
while queue:
... | zsmalla/algorithm-jistudy-season1 | src/Programmers_HighScore_Kit/스택&큐/임지수/프린터_python_임지수.py | 프린터_python_임지수.py | py | 576 | python | en | code | 0 | github-code | 36 |
30247439502 | #!/usr/bin/env python3
from optparse import OptionParser
def parse_arguments():
parser = OptionParser(usage='usage: %prog [option]... URL...')
parser.add_option('-i', dest='input_file', metavar='FILE',
help='Download URLs found in FILE')
parser.add_option('-C', dest='cookie_file', de... | b1337xyz/e-hen | args.py | args.py | py | 553 | python | en | code | 1 | github-code | 36 |
42298776688 | num =[1,32,42]
for i in num:
print(i)
print("\t\tBy iterator built in function:")
it=iter(num)#ye ak built in fun ha jo values ko iterate krta ha
print(it.__next__())#next valu k liye
print(it.__next__())
print(next(it))#ye dono same han =print(it.__next__())
print()
class topten:
def ... | IbrarShakoor/Python-codes | iterators.py | iterators.py | py | 728 | python | en | code | 1 | github-code | 36 |
73522000744 | from math import ceil
def SimpleLowerBound(items, binSize, className):
d1Sum = 0
d2Sum = 0
d3Sum = 0
for item in items:
d1Sum += item.getD1()
d2Sum += item.getD2()
d3Sum += item.getD3()
lowerBound = max(ceil(d1Sum/binSize[0]), ceil(d3Sum/binSize[1]), ceil(d3S... | Pityundra/VektorPakolas | resources/simpleLowerBound.py | simpleLowerBound.py | py | 919 | python | hu | code | 0 | github-code | 36 |
39835210130 | xa=float(input("Zadaj x-ovú súradnicu bodu A:"+"\n"))
ya=float(input("Zadaj y-ovú súradnicu bodu A:"+"\n"))
xb=float(input("Zadaj x-ovú súradnicu bodu B:"+"\n"))
yb=float(input("Zadaj y-ovú súradnicu bodu B:"+"\n"))
print()
xu=xa-xb
yu=ya-yb
print("Súradnice vektora AB=["+str(xu)+","+str(yu)+"]")
print("Veľkosť vektora... | Rastislav19/programs-learning | Python-EKG/funkcie/funkcie2/6.py | 6.py | py | 806 | python | sk | code | 0 | github-code | 36 |
34046878888 | from pyspark.sql import SparkSession
from pyspark.sql.types import StringType,StructField,StructType,IntegerType
spark = SparkSession.builder.master("local[*]").appName("romeoJulietWordCount").getOrCreate()
sc = spark.sparkContext
inprdd = sc.textFile("D:/Spark_Scala/data/wordcount/romeojuliet.txt")
#convert to lower... | ZosBHAI/pysparkexamples | wordcount01.py | wordcount01.py | py | 940 | python | en | code | 0 | github-code | 36 |
21639598208 | from transopt.utils.Register import benchmark_registry
from transopt.Benchmark.BenchBase import (
TransferOptBenchmark,
RemoteTransferOptBenchmark,
)
def construct_test_suits(
tasks: dict = None, seed: int = 0, remote: bool = False, server_url: str = None
) -> TransferOptBenchmark:
tasks = tasks or {}... | maopl/TransOpt | transopt/Benchmark/construct_test_suits.py | construct_test_suits.py | py | 1,336 | python | en | code | 3 | github-code | 36 |
74045387624 | #!/usr/bin/env python
# coding: utf-8
# """
# Task-3: Design and implement recursive solution for the below mentioned scenarios.
# There are n industries, each with a water treatment plant, located along a side of a river.
# We will assume that the industries are arranged from left to right. Each industry generates se... | aman2003selwaria/activity | problem 3 (discharge water).py | problem 3 (discharge water).py | py | 1,433 | python | en | code | 0 | github-code | 36 |
33525029807 | from methods import *
testOne = [{'title': 'Evaluation','words': [('bad','good')]},
{'title': 'Potency', 'words': [('weak','strong')]},
{'title': 'Activity', 'words': [('passive','active')]}]
testOneAlt = [{'title': 'Evaluation','words': [('bad','good'),('negative','positive')]},
{'title': 'Potency', 'words': [('weak'... | SoliMouse/Semantic-Differential | playground.py | playground.py | py | 3,440 | python | en | code | 1 | github-code | 36 |
37977404672 | '''
Python module containing "Master" classes of easy_gui project.
The classes in here are designed to be subclassed in user applications.
'''
import tkinter as tk
from tkinter import ttk
from tkinter import _tkinter
from .styles import BaseStyle
from . import widgets
import os
import sys
import threading
import traceb... | zachbateman/easy_gui | easy_gui/master_classes.py | master_classes.py | py | 26,902 | python | en | code | 1 | github-code | 36 |
10507977468 | # -*- coding:utf-8 -*-
# 016 ファイルをN分割する
# 自然数Nをコマンドライン引数などの手段で受け取り，入力のファイルを行単位でN分割せよ．同様の処理をsplitコマンドで実現せよ．
# 参考資料
# http://itpro.nikkeibp.co.jp/article/COLUMN/20060227/230888/
# 解答
# split -l 10 hightemp.txt out
def split_file(fileName, n):
f = open(fileName, 'r')
result = []
for line in f:
res... | c-su/python_nlp_100practice | chapter2/nlp016.py | nlp016.py | py | 923 | python | ja | code | 1 | github-code | 36 |
1912079774 | import os
from time import sleep
#defining the menu
def menu():
sleep(1)
os.system('cls')
print("\nMENU")
print("1.Metric")
print("2.Imperial")
print("3.Quotes")
print("4.Quit")
#define function to calculate BMI in metric system
def metric():
weight=float(input("Please enter your weight... | archeris32/evolution | BMI calculator/bmi_calculator.py | bmi_calculator.py | py | 2,306 | python | en | code | 0 | github-code | 36 |
2014711280 | # -*- coding:utf-8 -*-
import requests
import json
import os
import time
start = time.time()
respond = requests.get('http://pvp.qq.com/web201605/js/herolist.json')
respond = respond.read()
respond = respond.encode('utf-8')[3:].decode('utf-8')
json_hero = json.loads(respond)
x = 0
hero_dir = 'D:\img\\'
if not os.pat... | rinuandengfeng/python_study | 所有/爬虫.py | 爬虫.py | py | 1,158 | python | en | code | 0 | github-code | 36 |
31298726473 | class Solution(object):
def searchInsert(self, nums, target):
if len(nums) == 0:
return 0
left, right = 0, len(nums)
mid = 0
while left < right:
mid = (left + right) // 2
if nums[mid] == target:
return mid
elif nums[mid... | shwjdgh34/algorithms-python | leetcode/35.py | 35.py | py | 496 | python | en | code | 2 | github-code | 36 |
38746128821 | from sqlalchemy import create_engine
from config import MYSQL_ROSPARK_DB
from db.rospark_db import Base, make_engine
try:
engine = make_engine(MYSQL_ROSPARK_DB)
Base.metadata.drop_all(bind=engine)
Base.metadata.create_all(bind=engine,
tables=[Base.metadata.tables["parkings"]])... | andxeg/LeadersOfDigital_2020_parking_system | src/recreate_db.py | recreate_db.py | py | 374 | python | en | code | 1 | github-code | 36 |
74483870822 | """
Implement the functions used when the user
chooses either platform (Chess.com or Lichess)
"""
from collections import OrderedDict
def calculate_percentages(moves_dict):
"""
Calculate the winning, losing and drawing percentages
of each position in moves_dict
"""
for move in moves_... | felaube/chess-games-explorer | helpers.py | helpers.py | py | 4,149 | python | en | code | 0 | github-code | 36 |
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