seq_id stringlengths 7 11 | text stringlengths 156 1.7M | repo_name stringlengths 7 125 | sub_path stringlengths 4 132 | file_name stringlengths 4 77 | file_ext stringclasses 6
values | file_size_in_byte int64 156 1.7M | program_lang stringclasses 1
value | lang stringclasses 38
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value | pt stringclasses 1
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74798420027 | import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.cm import get_cmap
data = pd.read_csv("./output_geo.csv")
df = pd.DataFrame(data)
fig, ax = plt.subplots()
# get a color map
cmap = get_cmap("tab20", 28) # type: matplotlib.colors.ListedColormap
colors = cmap.colors # type: list
ips = df['ip']
me... | LisandroDiMeo/tp_traceroute | create_graph_rtt.py | create_graph_rtt.py | py | 499 | python | en | code | 0 | github-code | 6 |
14405820391 | # coding=utf-8
from django.contrib.admin import ModelAdmin, site
from models import News
class NewsAdmin(ModelAdmin):
list_display = ('id', 'match_type', 'game_start_time', 'end_score', 'middle_score', 'status', 'team1', 'score',
'team2', 'yapan','yapanSB', 'daxiaopan','daxiaopanSB', 'findex'... | xiaoqiu206/football | spider/admin.py | admin.py | py | 507 | python | en | code | 36 | github-code | 6 |
25911864922 | import math
from Solution import Solution
class P003(Solution):
def is_prime(self, number):
if number % 2 == 0:
return False
upper_limit = math.floor(math.sqrt(number))
if upper_limit % 2 == 0:
upper_limit -= 1
for i in range(upper_limit, 1, -2):
... | TalaatHarb/project-euler-100 | python-project-euler-100/p003.py | p003.py | py | 947 | python | en | code | 2 | github-code | 6 |
26349073306 | import functools
from enum import Enum
import json
import re
class SCJDEntry:
def __init__(self):
self.data = {}
def set_title(self, title):
self.data['title'] = title
def set_id(self, idx):
self.data['idx'] = idx
def glue_pronounce(self, prn):
if 'prn' in self.data:
self.data['prn'] += prn
else:
... | Leundo/apple-dictionary-extractor | ADParser/scjd_controller.py | scjd_controller.py | py | 17,976 | python | en | code | 0 | github-code | 6 |
73266752189 | import cv2
import numpy as np
from scipy import signal
import math
import matplotlib.pyplot as plt
if __name__ == "__main__":
gauss_blur_filter = [[0 for x in range(3)] for y in range(3)]
gauss_blur_filter[0][0] = 1/16
gauss_blur_filter[0][1] = 1/8
gauss_blur_filter[0][2] = 1/... | Srivenkat1995/Image-Segmentation-and-Point-Detection | task2.py | task2.py | py | 2,305 | python | en | code | 0 | github-code | 6 |
72784253307 | # https://www.codewars.com/kata/58558673b6b0e5a16b000028
def fight_resolve(defender, attacker):
if (defender.lower() == defender) == (attacker.lower() == attacker):
return -1
defender_win = { 'a': 's', 'k':'a', 'p': 'k', 's': 'p'}
a = attacker.lower()
d = defender.lower()
if defender_win[d... | blzzua/codewars | 7-kyu/boardgame_fight_resolve.py | boardgame_fight_resolve.py | py | 386 | python | en | code | 0 | github-code | 6 |
37681820103 | import pygame
from configs import ColorConfig
class Button(object):
def __init__(self, x_coordinate: int, y_coordinate: int, button_width: int,
button_height: int, text_font: str, text_size: str,
button_name: str, onclick_function=None):
self.x = x_coordinate
se... | pavst23/project_game | elements/button.py | button.py | py | 1,452 | python | en | code | 0 | github-code | 6 |
19773909067 | # -*- coding: utf-8 -*-
"""
IBEIS CORE
Defines the core dependency cache supported by the image analysis api
Extracts annotation chips from imaages and applies optional image
normalizations.
TODO:
* interactive callback functions
* detection interface
* identification interface
NOTES:
HOW TO DESI... | smenon8/ibeis | ibeis/core_annots.py | core_annots.py | py | 57,012 | python | en | code | null | github-code | 6 |
70952123708 |
def func(file):
with open(file) as d:
text = d.readlines()
for line in text:
words = line.split()
print(words.replace('172','192'))
file1='running-config.cfg'
func(file1)
dict={}
| inwk6312fall2017/programming-task-final-lavneeshj | task3.py | task3.py | py | 201 | python | en | code | 0 | github-code | 6 |
40197352017 | from django.urls import path
from . import views
app_name = "Employees"
urlpatterns = [
path('profile', views.profile, name="profile"),
path('edit_profile', views.editprofile, name="edit_profile"),
path('check_employee', views.checkemployee, name="check_employee"),
path('employee_position', views.emp... | jakubbm/employees-management | Employees/urls.py | urls.py | py | 615 | python | en | code | 0 | github-code | 6 |
2772837306 | # 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, a plan, a canal: Panama"
# Output: true
# Example 2:
# Input: "race a car"
# Output: fals... | queryor/algorithms | leetcode/125. Valid Palindrome.py | 125. Valid Palindrome.py | py | 1,300 | python | en | code | 0 | github-code | 6 |
28521286035 | """Added instructions html to make instructions dynamic
Revision ID: 6a1ef6fabfaf
Revises: 1c8b21137307
Create Date: 2017-08-12 01:36:17.185403
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '6a1ef6fabfaf'
down_revision = '... | harveyslash/backend-cleaned | beatest/migrations/versions/0005_6a1ef6fabfaf_added_instructions_html_to_make_.py | 0005_6a1ef6fabfaf_added_instructions_html_to_make_.py | py | 748 | python | en | code | 0 | github-code | 6 |
73823047227 | def climb(n):
a = 0
b = 1
c = 0
if n == 1:
return 1
for i in range(n):
c = a + b
a = b
b = c
return c
print(climb(5))
# time complexity: o(n)
# space complexity: o(1)
| jateen67/leetcode | 1d dynamic programming/easy/70_climbing_stairs.py | 70_climbing_stairs.py | py | 229 | python | en | code | 0 | github-code | 6 |
29639554051 | # -*- coding: utf-8 -*-
from odoo import api, fields, models
class CrmLead(models.Model):
_name = 'crm.lead'
_inherit = ['crm.lead', 'l10n_cl.counties.mixin']
city_id = fields.Many2one(
"res.city", string="Commune",
help="Commune of the lead")
@api.onchange('city_id')
def _oncha... | OdooJC/Scientech-YVes | Custom/crm_counties/models/crm_lead.py | crm_lead.py | py | 833 | python | en | code | 0 | github-code | 6 |
73726701627 | from django.shortcuts import render
from .models import Post, Categories
# Create your views here.
def blog(request):
post = Post.objects.all()
cat = [i.categories.all()[0] for i in post]
cat = list(set(cat))
return render(request, 'blog/blog.html',
{'posts': post, 'categories': cat}... | rebecalvarezc/django_clases | firstWeb/blogApp/views.py | views.py | py | 596 | python | en | code | 0 | github-code | 6 |
28684800381 | num=int(input("Enter the number of terms for the Fizz_buzz: "))
for i in range(1,num+1):
if i % 3 == 0 and i % 5 == 0:
print("Fizz_Buzz")
elif i % 3 == 0:
print("Fizz")
elif i % 5 == 0:
print("Buzz")
else:
print(i) | Heinrich-Swart/FizzBuzz | Fizzbuzz.py | Fizzbuzz.py | py | 266 | python | en | code | 0 | github-code | 6 |
21763637442 | # Approach 3: Hash Map
# Time: O(n*log(n))
# Space: O(n)
class Solution:
def findWinners(self, matches: List[List[int]]) -> List[List[int]]:
losses_count = {}
for winner, loser in matches:
losses_count[winner] = losses_count.get(winner, 0)
losses_count[loser] =... | jimit105/leetcode-submissions | problems/find_players_with_zero_or_one_losses/solution.py | solution.py | py | 668 | python | en | code | 0 | github-code | 6 |
34825925053 | # todo: add hash sum to judge solution file name on web-app side cuz it can break everything
import os
import shutil
import subprocess
from typing import List
import source.models
from .service import sequence_to_dict
from .static import *
from .config import BUILD_SOURCE_MAX_TIME, SQL_GET_TASK_ATTRIBUTE, SQL_GET_C... | TolimanStaR/AtomicJudge | source/task_manager.py | task_manager.py | py | 24,126 | python | en | code | 0 | github-code | 6 |
4641112247 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function, absolute_import
__author__ = 'Andres'
import re
# Matches tags
tagRE = re.compile(r'(.*?)<(/?\w+)[^>]*>(?:([^<]*)(<.*?>)?)?')
# Matches bold/italic
bold_italic = re.compile(r"'''''(.*?)'''''")
bold = re.compile(r"'''(.*?)'''")
italic_q... | keeleleek/estnltk | estnltk/wiki/cleaner.py | cleaner.py | py | 6,425 | python | en | code | null | github-code | 6 |
36153558414 | import unittest
import datetime
import json
from app.textsapi.models.submission import Submission
from app.textsapi.models.text import Text
from app.tests.base import BaseTestCase
def register_ok_submission(self, token):
return self.client.post(
'/submission/',
headers=dict(
Authorizat... | jkausti/flask-textsapi | app/tests/_test_submission_controller.py | _test_submission_controller.py | py | 3,468 | python | en | code | 1 | github-code | 6 |
19876190982 | #!/usr/bin/python3
import os
import argparse
from subprocess import call
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('basedir', type=str, help='The base directory to walk from')
args = parser.parse_args()
print('The base dir is: {}'.format(args.basedir))
for d... | ruizhang84/B565-Data-Mining | src/preprocess/scripts/decompress.py | decompress.py | py | 688 | python | en | code | 0 | github-code | 6 |
36525273442 | """Parser object that performs coarse-to-fine and postprocessing.
Additionally, a simple command line interface similar to bitpar."""
from __future__ import print_function
import io
import os
import re
import sys
import time
import gzip
import codecs
import logging
import tempfile
import traceback
import string # pyl... | pombredanne/disco-dop | discodop/parser.py | parser.py | py | 27,717 | python | en | code | null | github-code | 6 |
25636796283 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
colorList = ["blue", "purple", "pink", "yellow", "green"]
for color in colorList:
print(color)
# In[2]:
n = 0
numbers = list(range(10))
for num in numbers:
print (num)
# In[1]:
n = 0
while n<10:
print(n)
n = n+1
# In[1]:
n = 0
while n <= 10:... | madelinedq/HW1_deQuillacq_Madeline | HW2_deQuillacq_Madeline.py | HW2_deQuillacq_Madeline.py | py | 503 | python | en | code | 0 | github-code | 6 |
36397304694 | """
Table of Contents
1. drop_null_columns: Drop columns that exceed a threshold of null values.
"""
from pyspark.sql import functions as F, DataFrame
from ..parsing.melting import melt
def drop_null_columns(df: DataFrame, threshold: float = 1.0, subset: list = None) -> DataFrame:
"""
Drop columns that exc... | phil-trinh/pyspark_utilities_sample | transformations/calculations/null_funcs.py | null_funcs.py | py | 2,241 | python | en | code | 0 | github-code | 6 |
9633424069 | # W.A.P in Python to count the total no. of words in a string. #
str = input("Enter the string :- ")
total = 1
for i in range(len(str)) : # len() function returns the length of the string.
if(str[i]==" ") :
total+=1
print("The total number of words in the string is ",total)
... | sunny-ghosh/Python-projects | count_string.py | count_string.py | py | 615 | python | en | code | 0 | github-code | 6 |
12110709697 | import numpy as np
from tqdm import tqdm
flip_inst = {}
flip_inst['e'] = [1, 0]
flip_inst['w'] = [-1, 0]
flip_inst['se'] = [0, -1]
flip_inst['sw'] = [-1, -1]
flip_inst['ne'] = [1, 1]
flip_inst['nw'] = [0, 1]
def flip_tile(instr, tiles):
tile = np.array([0, 0])
while instr:
for fi, dir in flip_inst.it... | scjohnson/aoc_2020 | solution_24.py | solution_24.py | py | 2,048 | python | en | code | 0 | github-code | 6 |
39188602086 | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from blog import apiviews
router = DefaultRouter()
router.register('posts', apiviews.PostViewSet)
router.register('comments', apiviews.CommentViewSet)
router.register('replies', apiviews.ReplyViewSet)
router.register('users', apivie... | MahfuzKhandaker/blogapi | blog/urls.py | urls.py | py | 736 | python | en | code | 0 | github-code | 6 |
74436640828 | import glob
import numpy as np
import pandas as pd
import nibabel as nib
import torch
from torch.utils.data import Dataset
# dataset class for the GenericObjectDecoding dataset
class GODData(Dataset):
FEATURES_PATH = "data/ds001246/derivatives/preproc-spm/output"
TARGETS_PATH = "data/ds001246"
TRAIN_CATEG... | v15hv4/ViT-fMRI | dataOLD.py | dataOLD.py | py | 2,614 | python | en | code | 0 | github-code | 6 |
29543052882 | """
Difficulty: Easy
Given a signed 32-bit integer x, return x with its digits reversed.
If reversing x causes the value to go outside the signed 32-bit integer range [-231, 231 - 1], then return 0.
Assume the environment does not allow you to store 64-bit integers (signed or unsigned).
Example 1:
Input: x = 123
Ou... | ali-izhar/daily-commit-challenge | int/reverse.py | reverse.py | py | 1,186 | python | en | code | 2 | github-code | 6 |
14504710213 | import os
import numpy as np
import pandas as pd
from PIL import Image
from collections import Counter
import torch
from torch.utils.data import Dataset
from torch.nn.utils.rnn import pad_sequence
import torchvision.transforms as T
import spacy
spacy_eng = spacy.load("en_core_web_sm")
# defining the transform to be... | danarip/ImageCaptionGenerator | source/data_preprocessing.py | data_preprocessing.py | py | 5,555 | python | en | code | 0 | github-code | 6 |
73154395388 | import os
import pickle
import argparse
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from Model.INPLIM import Doctor
from data_utils import CodeLevelDataset
from utils import train_eval
def args():
parser = argparse.ArgumentParser()
parser.add_argument('--data_root', type=s... | xlbryantx/INPLIM | main.py | main.py | py | 4,064 | python | en | code | 3 | github-code | 6 |
21489679841 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 14 14:19:49 2021
@author: 姜高晓
"""
import numpy as np
from scipy.fftpack import fft,ifft
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
from sklearn import svm
from skl... | GazerJ/Math_2021_HW | math/4.2╖╓└α╞≈╫╘╢¿╥σ╖╓└α╞≈.py | 4.2╖╓└α╞≈╫╘╢¿╥σ╖╓└α╞≈.py | py | 3,803 | python | en | code | 3 | github-code | 6 |
1584185561 | # This is mostly lifted from django-storages' sftp backend: Their license:
#
# SFTP storage backend for Django.
# Author: Brent Tubbs <brent.tubbs@gmail.com>
# License: MIT
#
# Modeled on the FTP storage by Rafal Jonca <jonca.rafal@gmail.com>
from __future__ import print_function
try:
import ssh
except ImportError:... | beniwohli/django-localdevstorage | localdevstorage/sftp.py | sftp.py | py | 3,964 | python | en | code | 50 | github-code | 6 |
38586292194 | import cv2
import numpy as np
img = cv2.imread('images/saitama.jpg')
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # convert it to hsv
width = img.shape[1]
height = img.shape[0]
channel = img.shape[2]
increase_v = 40
decrease_s = 10
step = 2
# bien doi hinh anh
print("chon huong di cua animation: ")
print("1.Left ->... | 19522515/CS231.L21-Computer-Vision-Project | Source code/pptanimation_swipe.py | pptanimation_swipe.py | py | 2,089 | python | en | code | 0 | github-code | 6 |
40467024636 | # 해시
import sys
input = sys.stdin.readline
n,m = map(int, input().split())
graph = {}
for _ in range(n):
address, num = input().rstrip().split()
graph[address] = num
for _ in range(m):
temp = input().rstrip()
print(graph[temp]) | Cho-El/coding-test-practice | 백준 문제/해시/비밀번호 찾기.py | 비밀번호 찾기.py | py | 248 | python | en | code | 0 | github-code | 6 |
72599581948 | import unittest
import bioschemas
from bioschemas.extractors import ExtractorFromHtml
config = bioschemas.DEFAULT_CONFIG
class TestExtractors(unittest.TestCase):
def test_jsonld_extraction_from_html(self):
html = '''<script type="application/ld+json">
{
"@context": "http://bioschemas.o... | buzzbangorg/bsbang-crawler | bioschemas/test_extractors.py | test_extractors.py | py | 1,197 | python | en | code | 4 | github-code | 6 |
25907426422 | whiskyPriceInBgn = float(input())
beerLiters = float(input())
wineLiters = float(input())
rakiaLiters = float(input())
whiskyLiters = float(input())
rakiaPrice = whiskyPriceInBgn / 2
winePrice = rakiaPrice - (0.4 * rakiaPrice)
beerPrice = rakiaPrice - (0.8 * rakiaPrice)
totalSum = (whiskyPriceInBgn * whiskyLiters) + ... | skipter/Programming-Basics-Python | Python Basics October 2018/Python-Simple-Operations-and-Calculations-Exercise/AlcoholMarket.py | AlcoholMarket.py | py | 425 | python | en | code | 0 | github-code | 6 |
74514085946 | #!/usr/bin/env python3
from __future__ import print_function
from __future__ import division
# System level imports
import sys
import os
import argparse
import logging
import time
import math
import numpy as np
import matplotlib.pyplot as plt
from numpy.core.defchararray import index
import controller2d
#import contro... | AlfonsoCom/AVD_BP | main.py | main.py | py | 80,582 | python | en | code | 0 | github-code | 6 |
32796024261 | from gevent import monkey
monkey.patch_all()
import gevent
import socket
import re
import dns
import log
LOG = log.get_logger('dns-proxy')
class DNSServer(object):
def __init__(self, host='0.0.0.0', port=53, nameserver='114.114.114.114'):
self.sock = None
self.host = host
self.port = port... | PeerXu/death-star | death_star/dns_proxy.py | dns_proxy.py | py | 3,334 | python | en | code | 8 | github-code | 6 |
13876656972 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
import boto3
import json
app = FastAPI()
origins = [
"https://ai.galaxychain.zone",
"https://galaxychain.zone",
"http://localhost:3000",
"https://... | galaxynetwork/story-ai-supporter | app.py | app.py | py | 2,629 | python | en | code | 1 | github-code | 6 |
21101364933 | import os
import tempfile
from shutil import rmtree
import pytest
import responses
from faker import Faker
from flask import Response, Flask
from flask.testing import FlaskClient
from statuspage2slack.statuspage_constants import ComponentStatus, \
IncidentStatus, IncidentImpact
fake = Faker()
STATUSPAGE_DATETIM... | Cobliteam/statuspage2slack | tests/test_webhook.py | test_webhook.py | py | 7,087 | python | en | code | 0 | github-code | 6 |
26433388736 | import pandas as pd
import numpy as np
import json
import os
from pydub import AudioSegment
from scipy.io.wavfile import read
import stft
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import normalize
from sklearn.decomposition import PCA
import random
import signal
import cPickle as pickle
from func... | jonathanwoodard/Melospiza | source/transform_audio.py | transform_audio.py | py | 4,665 | python | en | code | 0 | github-code | 6 |
5114460856 |
import numpy as np
from scipy import ndimage
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm as LogNorm
def compare_fields(delta_F, delta_DM, R_sm, pc_meta):
# from Metin 2019
'''
A function for comparing the fields of delta_F and delta_DM with hist2d.
'''
fig = plt.figure(f... | pointeee/preheat2022_public | misc_func.py | misc_func.py | py | 2,753 | python | en | code | 0 | github-code | 6 |
33195061509 | import numpy as np
import cv2
import copy
from time import sleep
import datetime
# from progress.bar import Bar
def Rodar(cam):
capture = cv2.VideoCapture(cam)
background_subtractor = cv2.bgsegm.createBackgroundSubtractorMOG()
#length = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
# bar = Bar('Processi... | rnanc/MOBYDATA | services/motion_heatmap.py | motion_heatmap.py | py | 2,177 | python | en | code | 0 | github-code | 6 |
19686502833 | import sys
import time
from datetime import datetime
from textwrap import dedent
import requests
import telegram
from environs import Env
from loguru import logger
from telegram import ParseMode
def send_telegram_message(chat_id: int, bot: telegram.Bot, telegram_message: str) -> None:
bot.send_message(chat_id=ch... | wepeqoor1/check_success_request | check_request.py | check_request.py | py | 3,916 | python | en | code | 0 | github-code | 6 |
19154810876 | from numpy import *
from time import sleep
import json
import urllib2
# 数据导入函数
def loadDataSet(fileName): # 打开一个含有分隔符的文本文件
numFeat = len(open(fileName).readline().split('\t')) - 1 # 获得特征数，减1是因为最后一列是因变量
dataMat = []
labelMat = []
fr = open(fileName)
for line in fr.readlines():
lineArr = [... | yhshu/Machine-Learning-in-Action | Ch08-LinearRegression/regression.py | regression.py | py | 9,114 | python | zh | code | 0 | github-code | 6 |
32726100359 | from collections import deque
from pathlib import Path
import random
from PIL import Image, ImageTk
from tkinter import Tk, Label
from typing import Callable, Optional, Sequence
from abc import ABC, abstractmethod
import numpy as np
import torch
import gym
from collections import namedtuple
from ..game.play import (P... | wecacuee/floyd-warshal-rl | fwrl/prob/gym.py | gym.py | py | 6,947 | python | en | code | 0 | github-code | 6 |
37460236670 | import tkinter as tk
import pandas as pd
import os
from PathManager import locationManager as lm
def error_popup(msg):
"""Super simple pop-up to indicate an error has occured."""
popup = tk.Tk()
popup.wm_title("!")
label = tk.Label(popup, text=msg)
label.pack(side="top", fill="x", pady=10)
B1 ... | Hamza-crypto/QuickBooks-importer-script-python | ErrorLogging.py | ErrorLogging.py | py | 902 | python | en | code | 0 | github-code | 6 |
19626071979 | # coding: utf-8
from sqlalchemy import Column, DateTime, Integer, String, text
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from base import db_url
Base = declarative_base()
metadata = Base.metadata
db = create_engine(db_url)
ses... | natsuforyou/troubledmonkey | models.py | models.py | py | 4,401 | python | en | code | 3 | github-code | 6 |
43535916514 | import argparse
import sys
import logging
from mutagene.profiles.profile import calc_profile
logger = logging.getLogger(__name__)
genome_error_message = """requires genome name argument -g hg19, hg38, mm10, see http://hgdownload.cse.ucsc.edu/downloads.html for more
Use mutagene fetch to down... | neksa/mutagene | mutagene/cli/profile_menu.py | profile_menu.py | py | 1,614 | python | en | code | 3 | github-code | 6 |
2533690932 | from typing import List, Optional
import filters as f
from iota import Address
from iota.commands import FilterCommand, RequestFilter
from iota.commands.core.find_transactions import FindTransactionsCommand
from iota.commands.core.were_addresses_spent_from import \
WereAddressesSpentFromCommand
from iota.crypto.a... | iotaledger/iota.py | iota/commands/extended/get_new_addresses.py | get_new_addresses.py | py | 3,422 | python | en | code | 344 | github-code | 6 |
70270071869 | from sqlalchemy import Column
from sqlalchemy import Integer, String
from sqlalchemy.orm import relationship
from app.models.base import Base
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
username = Column(String, nullable=False)
email = Column(String, nullable=Fal... | cyber-chuvash/todolist-API | app/models/user.py | user.py | py | 678 | python | en | code | 0 | github-code | 6 |
32506800793 | #!/usr/bin/env python3
"""
Read API data directly via internet and output to pipe
"""
import json
import logging
import time
import requests
from .. import defs
from . import net
from .order import ApiOrder, API_CHANNEL_SSE_NAME
from .pkt import BlocksatPkt, BlocksatPktHandler
logger = logging.getLogger(__name__)
M... | Blockstream/satellite | blocksatcli/api/demorx.py | demorx.py | py | 11,171 | python | en | code | 949 | github-code | 6 |
72298298427 | import pickle
from flask import Flask, request, jsonify
import numpy as np
# Load model and dv
with open("dv.pkl", "rb") as f_in:
dv = pickle.load(f_in)
with open("rf_model.pkl", "rb") as f_in:
model = pickle.load(f_in)
# instantiate
app = Flask('atx_housing_prediction')
# set path: /predict
@app.ro... | michaelfronda/ATXHousePrice | predict.py | predict.py | py | 733 | python | en | code | 0 | github-code | 6 |
21091581358 | import sys
import time
import yaml
from watchdog.observers import Observer
from watchdog.events import *
import ftplib
config_file = "client.yml"
def get_config(index):
with open(config_file) as f:
return yaml.load(f, Loader=yaml.FullLoader)[index]
class MyHandler(FileSystemEventHandler):
def on_modi... | yifan-ivan/FileSynchronizer | client.py | client.py | py | 1,061 | python | en | code | 0 | github-code | 6 |
10793618381 | """Code to interface with the SMA inverters and return the results."""
# Robust initialization and shutdown code courtesy of
# https://github.com/wbenny/python-graceful-shutdown.git
import logging
import sys
import os
import asyncio
import aiohttp
from delayedints import DelayedKeyboardInterrupt
from pvsite import S... | sillygoose/sbhistory | sbhistory/sbhistory.py | sbhistory.py | py | 2,975 | python | en | code | 2 | github-code | 6 |
28462595619 | import os
import sys
from distutils.core import setup
from distutils.core import Extension
# detect python version
version = []
if hasattr(sys.version_info, 'major'):
version.append(sys.version_info.major)
version.append(sys.version_info.minor)
else:
version = sys.version_info[0:2]
# detect boost_python l... | seznam/mcache-client | python/setup.py | setup.py | py | 2,009 | python | en | code | 4 | github-code | 6 |
10865376818 | import logging
import json
import datetime
import numpy as np
from sklearn.base import BaseEstimator
from sklearn.gaussian_process import GaussianProcessRegressor
from aggregating.utils import flatten_X, generate_train_set, memory_efficient_predict
from stochastic_models import MaxCallStochasticModel
### general MPI... | tlpss/ML-Project2 | mpi/utils.py | utils.py | py | 6,471 | python | en | code | 0 | github-code | 6 |
37824702150 | #do slice
# %%
L = list(range(100))
n = L[0:10]
print(n)
# %%
n = L[:10:2]
print(n)
# %%
n = L[::5]
print(n)
# %%
def trim(s):
if s == '':
return s
while s[0] == ' ':
s = s[1:]
if s == '':
return s
while s[-1] == ' ':
s = s[:-1]
return s
# 测试:
if trim('hell... | AlaiaS/Python-Learning | Features.py | Features.py | py | 2,610 | python | en | code | 0 | github-code | 6 |
72532105789 | import json
from http import HTTPStatus
from typing import Any, Literal
import httpx
from pydantic import BaseModel, Field
from simcore_service_api_server.utils.http_calls_capture_processing import (
PathDescription,
enhance_from_openapi_spec,
)
class HttpApiCallCaptureModel(BaseModel):
"""
Captures ... | ITISFoundation/osparc-simcore | services/api-server/src/simcore_service_api_server/utils/http_calls_capture.py | http_calls_capture.py | py | 2,202 | python | en | code | 35 | github-code | 6 |
232662350 | import os
import sys
import glob
import subprocess
import glob
from pefile import PE
name = "ReBarDxe"
version = "1.0"
GUID = "a8ee1777-a4f5-4345-9da4-13742084d31e"
shell = sys.platform == "win32"
buildtype = "RELEASE"
def filesub(filep, f, r):
# Read in the file
with open(filep, 'r') as file :
filed... | xCuri0/ReBarUEFI | ReBarDxe/buildffs.py | buildffs.py | py | 2,663 | python | en | code | 562 | github-code | 6 |
36935275213 | # this is focused on speed
# it may not run everything
import pathlib
import numpy as np
from tinygrad.ops import MovementOps, ProcessingOps
from tinygrad.llops.ops_gpu import require_init_gpu, clbuild, get_cl_queue, get_cl_ctx
from tinygrad.llops.ops_gpu import contiguous
from tinygrad.llops.ops_gpu import unary_op a... | henrylao/tinygrad | accel/opencl/ops_opencl.py | ops_opencl.py | py | 5,655 | python | en | code | null | github-code | 6 |
26530831301 | import json
from oneview_redfish_toolkit.api.composition_service import CompositionService
from oneview_redfish_toolkit.tests.base_test import BaseTest
class TestCompositionService(BaseTest):
"""Tests for CompositionService class"""
def setUp(self):
"""Tests preparation"""
# Loading Composi... | HewlettPackard/oneview-redfish-toolkit | oneview_redfish_toolkit/tests/api/test_composition_service.py | test_composition_service.py | py | 1,507 | python | en | code | 16 | github-code | 6 |
17972375760 | import dash
from dash import Dash, html, Output, Input, dcc, callback
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.express as px
import dash_ag_grid as dag
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.LUX], suppress_callback_exceptions=True,
meta_tags=[{'name': 'viewport',... | Natcha-Phonkamhaeng/nobel-viz | src/app.py | app.py | py | 6,264 | python | en | code | 1 | github-code | 6 |
73118020027 | import os
import torch
import matplotlib.pyplot as plt
from config.config import cfg
def get_supports(m):
"""
Returns the number of samples and the percentage of support for each activity in the ground truth data of a given dataset.
Args:
- m (str): the name of the dataset
Returns:
- support... | Vito-Scaraggi/mpgnnap | data_info.py | data_info.py | py | 3,704 | python | en | code | 1 | github-code | 6 |
2519404412 | ''' Library for data importation and feature selection'''
###############################################################################
# Author: Zane Markel
# Created: 6 MAR 2014
#
# Name: mldata
# Description : Library for importing/exporting data and feature selection
#
#########################... | zanemarkel/trident | learn/spr14mldata.py | spr14mldata.py | py | 5,881 | python | en | code | 2 | github-code | 6 |
27773611300 | import requests
import os
from telepyrobot.setclient import TelePyroBot
from pyrogram import filters
from pyrogram.types import Message
from telepyrobot import COMMAND_HAND_LER
__PLUGIN__ = os.path.basename(__file__.replace(".py", ""))
__help__ = f"""
Url Shortner Plugin for https://da.gd
**Usage:**
`{COMMAND_HAND_L... | Divkix/TelePyroBot | telepyrobot/plugins/url_shortner.py | url_shortner.py | py | 1,615 | python | en | code | 40 | github-code | 6 |
41745621937 | import os
import sqlite3
from bs4 import BeautifulSoup
def scan_folder(parentfile, diff):
for file_name in os.listdir(parentfile):
if "_" in file_name:
diff = eachfile(file_name, parentfile, diff)
else:
current_path = "".join((parentfile, "/", file_na... | 22650684/Webscraping-Project | testing/dbMatchFile.py | dbMatchFile.py | py | 3,089 | python | en | code | 0 | github-code | 6 |
19314688451 | # -*- coding: utf-8 -*-
'''
A module for startup settings
'''
from __future__ import absolute_import
import logging
import os.path
import sys
from requests.structures import CaseInsensitiveDict # pylint: disable=import-error,3rd-party-local-module-not-gated
# Import local libs
# This file may be loaded out of ... | BKnight760/ubuntu-systemlink-salt-minion | var/lib/salt/minion/extmods/modules/startup_settings.py | startup_settings.py | py | 6,757 | python | en | code | 1 | github-code | 6 |
5975605110 | from . import sql, chunk, rarity_info, BASE_PATH, Page
from datetime import datetime as dt, timedelta as td
from io import BytesIO
from pandas import DataFrame
from PIL import Image
from random import choice, choices, random
import json
import logging
import requests as r
log = logging.getLogger(__name__)
log.setLevel... | austinmh12/DiscordBots | TestBot/test_cogs/pokerouletteFunctions/pokemon.py | pokemon.py | py | 20,054 | python | en | code | 0 | github-code | 6 |
23740308683 | people = ["Domey K", "Oscarrr", "Jakee", "Crumbs", "Davers", "Jebewok", "Conrr"]
searchName = input("Searched name ")
foundName = False
currentRecordNum = 0
while foundName == False and currentRecordNum < len(people):
if searchName == people[currentRecordNum]:
foundName = True
print(f"Name: {searc... | Zoobdude/Computer-science-tasks | searching/linearSearchWithWhile.py | linearSearchWithWhile.py | py | 486 | python | en | code | 0 | github-code | 6 |
73471512828 | from gtts import gTTS #Tratamento de ádio
import os
import time
def text_in_audio(text):
'''
Converte texto em áudio, salva em audio.mp3 e reproduz esse.
'''
try:
# Converte o conteúdo de text em áudio.
tts = gTTS(text=text, lang='pt-br')
# Salva o coteúdo do áudio em ... | arturj9/chatgpt-python | utils.py | utils.py | py | 976 | python | pt | code | 0 | github-code | 6 |
25693208335 | # -*- coding:utf-8 -*-
# 10.1 文件和异常
# 10.1 练习
# part_1 Python 学习笔记
# 读取整个文件 使用方法read()
filename = 'Python学习.txt'
with open(filename) as file_object:
contents = file_object.read()
print(contents.rstrip())
print("\n")
# 打印时遍历文件
with open(filename) as file_object_1:
contents_1 = file_object_1.readlines()
... | Troysps/learn_python | 80/10.1从文件中读取数据.py | 10.1从文件中读取数据.py | py | 1,196 | python | en | code | 0 | github-code | 6 |
37256463861 | import torch
import torch.nn as nn
from torch.utils import data
from torch.optim import Adam, SGD
from tensorboardX import SummaryWriter
from tqdm import trange
from datetime import datetime
import argparse
from dataset import LoadADHD200
from model import SpatialActivation
def train(lr=0.001, device='cuda', epochs=1... | WhatAboutMyStar/SCAAE | train.py | train.py | py | 3,360 | python | en | code | 4 | github-code | 6 |
41554384385 | import sys
import nimfa
import numpy as np
import scipy.sparse as sp
import pandas as pd
import gc
import os
import math
import mysql.connector
import random
import collections
from scipy.sparse.linalg import svds
from sklearn.model_selection import KFold
from multiprocessing import Pool
# import module
import machine... | Saito2982/CrossDomain | plot_domain.py | plot_domain.py | py | 22,614 | python | en | code | 0 | github-code | 6 |
34344103076 | from random import randint as rand
import math
def MenuSelection(array):
while True:
listPrint(array)
print("\n>>")
choice = input()
try:
choice = int(choice)
if(type(array) == dict):
choice = list(array.keys())[choice]
else:
choice = array[choice]
except:
print("Bad stuff")
print... | LordMagusar/Python-RPG | main.py | main.py | py | 3,831 | python | en | code | 0 | github-code | 6 |
1433290010 | import pytest
import stk
from .case_data import CaseData
@pytest.fixture(
scope="session",
params=(
lambda name: CaseData(
molecule=stk.BuildingBlock("C1=CC=CC=C1"),
sub_group_data={
"c6_planarity": [2.7518147481201438e-06],
"c5n1_planarity": []... | JelfsMaterialsGroup/stko | tests/molecular/subgroup/conftest.py | conftest.py | py | 1,311 | python | en | code | 18 | github-code | 6 |
43344955993 | '''
This application service return tracks data to visualisation.
'''
import time
import math
from collections import defaultdict
from twisted.application.service import Service
from twisted.internet import defer
from twisted.python import log
import simplejson as json
__author__ = 'Boris Tsema'
# Select track data... | DmitryLoki/gorynych | gorynych/processor/services/visualization.py | visualization.py | py | 10,219 | python | en | code | 3 | github-code | 6 |
7897642460 | import pygsheets
def init(secret_path, sheet_name): # Получение нужной таблицы
gc = pygsheets.authorize(client_secret=secret_path)
sh = gc.open(sheet_name)
wks = sh.sheet1
return wks
def get_all_table_data(wks): # Получение всех данных с таблицы
data_list = []
for row in wks.get_al... | FMaslina/gsheets | gsheets_integration.py | gsheets_integration.py | py | 1,302 | python | ru | code | 0 | github-code | 6 |
7794747310 | from flask import Flask, render_template, request
import mushroom_data as md
import random
app = Flask(__name__)
@app.route('/', methods=['POST', 'GET'])
def main():
if request.method != 'POST':
return render_template('index.html',
cap_shape=md.cap_shape,
... | sharmas1ddharth/Mushroom_Classification | app.py | app.py | py | 4,515 | python | en | code | 2 | github-code | 6 |
2052216012 | from fastai import vision, metrics
from fastai.callback import hooks
from fastai.utils import mem
import numpy as np
from os import path
import torch
vision.defaults.device = vision.defaults.device if torch.cuda.is_available() else torch.device('cpu')
# Download data and get path
fastai_path = vision.untar_data(visio... | lykhahaha/Mine | Fastai_Tutorial/lesson3-camvid.py | lesson3-camvid.py | py | 3,776 | python | en | code | 0 | github-code | 6 |
32576643958 | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from django.views.generic import View
from django.http import HttpResponse
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import log... | S4ADO/ADW_Django_A1 | TaskManager/tasks/views.py | views.py | py | 5,269 | python | en | code | 0 | github-code | 6 |
38254642090 | from django.test import TestCase
from hknweb.candidate.tests.models.utils import ModelFactory
class DuePaymentRequirementModelTests(TestCase):
def setUp(self):
semester = ModelFactory.create_semester(
semester="Spring",
year=0,
)
duepayment = ModelFactory.create_du... | Gabe-Mitnick/hknweb | hknweb/candidate/tests/models/requirements/payment/test_due_payment.py | test_due_payment.py | py | 649 | python | en | code | null | github-code | 6 |
73814975546 | from abc import ABCMeta, abstractmethod
from asyncio.queues import Queue as AioQueue
from queue import Queue
from bonobo.constants import BEGIN, END
from bonobo.errors import AbstractError, InactiveReadableError, InactiveWritableError
from bonobo.nodes import noop
BUFFER_SIZE = 8192
class Readable(metaclass=ABCMeta... | python-bonobo/bonobo | bonobo/structs/inputs.py | inputs.py | py | 2,922 | python | en | code | 1,564 | github-code | 6 |
38760730621 | import dictionary
print(dictionary.d)
text = "I drive a red car in the city with a friend to go to the cinema"
translate = ""
words = text.split()
for w in words:
translate = translate + dictionary.d[w]
translate = translate + " "
print(translate)
| marnace/Homework9thMarch | Homework9thMarch.py | Homework9thMarch.py | py | 262 | python | en | code | 0 | github-code | 6 |
20880620842 | #@title Установка модуля РЈРР
from PIL import Image
from pathlib import Path
from tensorflow.keras.preprocessing import image
from tensorflow.keras.layers import Input, Dense, Conv2D, Flatten
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from IPython import disp... | alexfeklin1234/neural_network | yandex_milk_data/yandex_milk.py | yandex_milk.py | py | 26,223 | python | uk | code | 0 | github-code | 6 |
75188737786 | import sys
sys.setrecursionlimit(250000)
# 이 문제는 이전에 학습한 스킬이 얼마나 많이 필요한지를 파악해야 하는 그래프 이론 문제
# T: 해당 인덱스의 스킬을 배우기 위해 우선적으로 배워야 하는 스킬
# A: 배워야 하는 스킬 모음
# 스킬 트리 T의 배열 A에서 모든 스킬을 습득하기 위해 배워야 하는 최소 스킬 수 반환
# 1
# 역순으로 배워야 하는 곳까지 DFS
def solution(T, A):
N = len(T)
learned = [False] * N # 각 스킬을 배웠는지 여부 (방문 처리)
... | zacinthepark/Problem-Solving-Notes | programmers/스킬트리.py | 스킬트리.py | py | 1,378 | python | ko | code | 0 | github-code | 6 |
30265323373 | import arcade
SPACING = 20
MARGIN = 110
arcade.open_window(400, 400, "Square of diamonds")
arcade.set_background_color(arcade.color.AMARANTH_PINK)
arcade.start_render()
for row in range(10):
for column in range(10):
if (row%2==0 and column%2==0) or (row%2==1 and column%2==1):
x = column * S... | maryamsaeedi17/PyLearningWorks1 | assignment13/drawsquare.py | drawsquare.py | py | 723 | python | en | code | 6 | github-code | 6 |
39593057083 | import sys
infile = sys.argv[1]
date = sys.argv[2]
time = sys.argv[3]
ping = "null"
server = "null"
download = "null"
upload = "null"
with open(infile, 'r') as f:
for line in f:
if "Hosted by " in line:
server = line.replace("Hosted by ","")
server = server.split... | rajdor/speedtest | speedtest_parser.py | speedtest_parser.py | py | 1,437 | python | en | code | 0 | github-code | 6 |
10377701341 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu May 24 12:15:41 2018
@author: yannis
"""
#Write a program to calculate the credit card balance after one year if a person only pays
#the minimum monthly payment required by the credit card company each month.
#The following variables contain values a... | 2057536a/Programming_Python_MIT_EdX | week2/problemSet2/problem1.py | problem1.py | py | 1,790 | python | en | code | 0 | github-code | 6 |
8019970208 | import json
from server.nordic import COMMANDS
import static.app.instructions.translations as tr
# from static.app.instructions.translations import _yes
from static.app.instructions.helpers import TXT, NumberedText
class NextPrevious:
def __init__(self, button_text, goto, active):
self.caption = button... | sander76/nordic | static/app/instructions/components.py | components.py | py | 8,161 | python | en | code | 0 | github-code | 6 |
618459417 | from typing import List
import numpy as np
from hakaton.prediction.model import SkyhacksModel
from hakaton.util import model_util
class WagonDetectorSkyhacksModel(SkyhacksModel):
MODEL_STRUCTURE_FILE = "storedmodel/model-next-wagon-structure.json"
MODEL_WEIGHTS_FILE = "storedmodel/model-next-wagon-weights.h... | karynabierz/hakaton | hakaton/prediction/wagondetector_skyhacks_model.py | wagondetector_skyhacks_model.py | py | 1,623 | python | en | code | 0 | github-code | 6 |
26498728774 | import sys
from typing import Set, TextIO, Any, Tuple
from collections import *
from functools import *
from itertools import *
Data = Tuple[Set[Tuple[int, int]], Set[Tuple[int, int]], int, int]
Result = int
def parse_input(buffer: TextIO) -> Data:
east = set()
south = set()
lines = [line.strip() for lin... | arjandepooter/advent-of-code-2021 | python/25/solution.py | solution.py | py | 1,697 | python | en | code | 0 | github-code | 6 |
10251263267 | import collections
import random
import sys
from os import path as osp
import json
import pandas as pd
from fol import beta_query_v2
from fol.foq_v2 import parse_formula
from utils.util import read_indexing, load_graph, load_data_with_indexing
sys.path.append(osp.dirname(osp.dirname(__file__)))
stanford_data_path = 'da... | HKUST-KnowComp/EFO-1-QA-benchmark | fol/test_foq_v2.py | test_foq_v2.py | py | 6,319 | python | en | code | 17 | github-code | 6 |
13109904746 | import pandas as pd
import yfinance as yf
import json
#csv_list = pd.read_csv('japan_all_stock.csv')
success_list = []
for num in range(1301, 10000):
try:
stock_data = yf.download(f'{num}.T', period = '1d', interval='1d')
success_list.append(f'{num}.T')
except:
continue
with open('jap... | 39xdgy/Playground_py | japan_stock_data.py | japan_stock_data.py | py | 404 | python | en | code | 0 | github-code | 6 |
45308723306 | import csv
import tqdm
import zoomeye.sdk as zoomeye
import json
import os
# 第一步读取文件
# 获得IP地址
# 使用SDK查询信息
# 保存信息
# 过滤信息
INPUT_FILE_NAME = '../csv/firewall_ip.csv'
# OUTPUT_FILE_NAME = 'csv/result.csv'
def read_csv(ip_list, csv_name):
with open(csv_name) as f:
f_csv = csv.reader(f)
# 获取header
... | Judgegao/bitcoin_data | code/Cyberspace search engine/main.py | main.py | py | 2,283 | python | en | code | 0 | github-code | 6 |
36781902171 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
__author__ = 'ktulhy'
# TODO: убрать дублирование кода
ERROR = "\x1b[31m[---ERROR--] \x1b[0m"
SYSTEM = "\x1b[34m[--SYSTEM--] \x1b[0m"
INFO = "[---INFO---] "
WARNING = "\x1b[33m[--WARNING-] \x1b[0m"
test_types = []
from lxml import etree
de... | AzaubaevViktor/c_tested | lib_tested.py | lib_tested.py | py | 6,966 | python | en | code | 1 | github-code | 6 |
42807499367 | """""""""""""""""""""""""""""""""""""""
Lab 5 - Find Similarity
04/1/2019 - Ken M. Amamori
CS2302 MW 10:30 - 11:50
Professor: Olac Fuentes
TA: Anindita Nath, Maliheh Zargaran
"""""""""""""""""""""""""""""""""""""""
import numpy as np
import time
import math
""""""""""""
class HashTableC(object):
# Builds a... | kmamamori/CS2302 | lab5.py | lab5.py | py | 5,992 | python | en | code | 0 | github-code | 6 |
71522207867 | from django.db import models
class Home(models.Model):
title = models.CharField(max_length = 100)
body = models.TextField()
decriptions = models.TextField(blank=True)
author = models.CharField(max_length = 200,blank=True)
img = models.ImageField(upload_to='posts',blank=True)
created = models.D... | linux-coffee/web | home/models.py | models.py | py | 1,075 | python | en | code | 0 | github-code | 6 |
12894651014 | #!/usr/bin/env python
# coding: utf-8
#
# # Task 1- Prediction using Supervised ML
#
# ### Task: Predict the percentage of a student based on the no. of study hours.
# ## The Sparks Foundation(GRIP), July 2021
# #### By: Rishi Raj Dhar
# In[11]:
#importing the required libraries
import pandas as pd
import num... | Rishirajdhar/griptask1 | GRIP_TASK_1_Student_Scores.py | GRIP_TASK_1_Student_Scores.py | py | 4,112 | python | en | code | 0 | github-code | 6 |
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