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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
17669251690 | #Trick is to first cyclic sort without caring for anything outside 1 to n. Then start adding missing values in result
#and while doing this keep track of all ignored values since k might not be over till len(nums) so the ignored values might
#be those nums. Then add additional values outside len till len(reult) not les... | SharmaManjul/DS-Algo | LeetCode/Hard/grok_findKthMissingPositiveNum.py | grok_findKthMissingPositiveNum.py | py | 1,284 | python | en | code | 0 | github-code | 13 |
27282657908 | import pygame
import sys
from pygame.locals import *
pygame.init()
size = width, height = 640, 480
bg = (255, 255, 255)
clock = pygame.time.Clock()
screen = pygame.display.set_mode(size)
pygame.display.set_caption("FishC Demo")
oturtle = pygame.image.load("turtle.png")
turtle = pygame.transform.chop(o... | DodgeV/learning-programming | books/python/零基础入门学习Python(小甲鱼)全套源码课件/082Pygame：提高游戏的颜值2（源代码）/课堂演示/py_1.py | py_1.py | py | 722 | python | en | code | 3 | github-code | 13 |
321264235 | import matplotlib.pyplot as plt
import pandas as pd
import pylab as pl
import numpy as np
# read data
df = pd.read_csv("winequality-red.csv")
print(df.head(9))
cdf = df[['fixed_acidity','volatile_acidity','citric_acid','residual_sugar','chlorides','density','pH','alcohol','quality']]
print(cdf.he... | spider2510/Regression | Regression/polynomial.py | polynomial.py | py | 4,750 | python | en | code | 0 | github-code | 13 |
10273634689 | # Importamos las clases y funciones del archivo protocolo.py
from protocolo import *
# Función del emisor
def sender(socketio,____error,___secuencia):
___buffer = from_network_layer() # Obtener algo para enviar desde la capa de red
s = Frame() # Crear un objeto frame
s.info = ___buffer # Copiamos el paq... | johanec/Proyecto1-Redes | backend/utopia.py | utopia.py | py | 924 | python | es | code | 0 | github-code | 13 |
4956513333 | from http import HTTPStatus
class CityNotFoundError(Exception):
def __init__(
self,
expected_type: dict = {},
received_type: dict = {},
message: str = "",
status_code: int = HTTPStatus.NOT_FOUND,
*args,
**kwargs
):
super().__init__(args, kwargs)
... | penguinuux/rain-forecast-risk-alert-api | app/exceptions/city_exc.py | city_exc.py | py | 2,186 | python | en | code | 3 | github-code | 13 |
86362336422 | import numpy as np
import tensorflow as tf
import nrrd
import os
import matplotlib.pyplot as plt
input_data_path = os.path.join('test_data', 'test_output_data.nrrd')
# Load the volume
input_data, input_data_header = nrrd.read(input_data_path) # XYZ
# Normalize the data -> Values between 0 and 1
scaled_data = (input... | ChrisE087/3D_cell_counting | 00-playground/scaling_target_data.py | scaling_target_data.py | py | 1,040 | python | en | code | 0 | github-code | 13 |
37154810064 | from __future__ import print_function, absolute_import, division
import pytest
from distutils.version import LooseVersion
from astropy import units as u
from astropy import wcs
import numpy as np
from . import path
from .helpers import assert_allclose, assert_array_equal
from .test_spectral_cube import cube_and_raw
... | mevtorres/astrotools | spectral_cube/tests/test_subcubes.py | test_subcubes.py | py | 5,901 | python | en | code | 0 | github-code | 13 |
6990882425 | from setuptools import setup, find_packages
from aminoed import __version__
with open("README.md", "r") as stream:
long_description = stream.read()
setup(
name="Amino.ed",
version=__version__,
url="https://github.com/Alert-Aigul/Amino.ed",
download_url="https://github.com/Alert-Aigul/Amino.ed/arch... | Zetsu00167373/Amino.ed | setup.py | setup.py | py | 1,339 | python | en | code | 0 | github-code | 13 |
25451219828 | # coding:utf-8
# from celery import Celery,platforms
import time
from core.Subdomain_Baidu import Baidu
from core.Subdomain_Brute import Brute
from core.Subdomain_Crawl import Crawl
from core.Subdomain_Api import Api
from core.Url_Info import Get_Url_Info
from core.Host_Info import Get_Ip_Info,Get_Alive_Url
from core.... | Mespoding/LangSrcCurise | core/main.py | main.py | py | 25,972 | python | en | code | null | github-code | 13 |
73755550097 | import tornado.web
import traceback
class BaseHandler(tornado.web.RequestHandler):
async def prepare(self):
user_id = self.get_secure_cookie("fyssionmediaserver_user")
if user_id:
self.current_user = await self.db.get_user(int(user_id))
if self.current_user:
... | Fyssion/FyssionMediaServer | server/handlers/base.py | base.py | py | 906 | python | en | code | 0 | github-code | 13 |
25392857596 | """
Provides date conversion functions, HistDate, and date scales.
"""
# ========== For conversion between calendars and Julian day numbers. ==========
# Algorithms were obtained from:
# https://en.wikipedia.org/wiki/Julian_day#Converting_Gregorian_calendar_date_to_Julian_Day_Number.
def gregorianToJdn(year: int, mo... | terry06890/chrona | backend/hist_data/cal.py | cal.py | py | 4,976 | python | en | code | 1 | github-code | 13 |
72966079699 | from datetime import datetime, timedelta
from logging import getLogger
import pytz
import time
from random import Random
from threading import Condition, Event, Thread
from crab import CrabError, CrabEvent, CrabStatus
from crab.service import CrabMinutely
from crab.util.schedule import CrabSchedule
HISTORY_COUNT = 10... | grahambell/crab | lib/crab/service/monitor.py | monitor.py | py | 16,297 | python | en | code | 61 | github-code | 13 |
11707907717 | import torch
# import numpy as np
# import cv2
from torch.utils.data import Dataset
from pathlib import Path
# from pycocotools.coco import COCO
# from pycocotools import mask as cocomask
import cv2
import numpy as np
import skimage.io as io
# import matplotlib.pyplot as plt
# import pylab
# import random
# import prep... | Justdjent/kaggle_salt | dataset.py | dataset.py | py | 8,191 | python | en | code | 0 | github-code | 13 |
72555580818 | import random
import time
from email_build import buildEmail
from confirmation_email import buildKeyEmail
from lsts import giver_list, key_master
giver = giver_list
receiver = [name for name in giver]
# this function randomly chooses a int within the range of the list provided an removes it from the list
def pop_ran... | bparker12/xmasNameRandomizer | random_generator.py | random_generator.py | py | 1,887 | python | en | code | 0 | github-code | 13 |
37473491574 | startSequence = []
substitutions = {}
READ_SEQUENCE=0
READ_SUBSTITUTIONS=1
inputMode = READ_SEQUENCE
with open("input.txt") as FILE:
for line in FILE.readlines():
line = line.strip()
if inputMode == READ_SEQUENCE:
if len(line)==0:
inputMode = READ_SUBSTITUTIONS
... | Chromega/adventofcode | 2021/Day14/day14.py | day14.py | py | 1,873 | python | en | code | 0 | github-code | 13 |
30651904435 | day = 0
age = 0
#Taking input
age = int(input("Enter Age = "))
day = int(input("Enter Day of Week 1-7 :"))
if (day==1) :
print("The museum is closed.")
if((day == 2) or (day == 4)):
print("You get half price discount!")
if(((age>=13) and (age<=20)) and (day == 3)) :
print("Yo... | Umair-Manzoor-47/Semester-2 | week 1/Meuseum.py | Meuseum.py | py | 395 | python | en | code | 0 | github-code | 13 |
23240766238 | import cozmo
import time
from iudrl_agent import IUDRL_Agent as Agent
from torchvision.transforms.functional import *
straight_drive = lambda robot: robot.drive_straight(cozmo.util.Distance(100), cozmo.util.Speed(100))
straight_drive_backwards = lambda robot: robot.drive_straight(cozmo.util.Distance(-100), cozmo.util.... | reeshogue/Cozminimum | test.py | test.py | py | 2,001 | python | en | code | 0 | github-code | 13 |
4849863092 | from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
class InputPanel(QDialog):
def __init__(self, parent, label, defaulttext):
super(InputPanel, self).__init__(parent=parent)
self.setWindowFlags(Qt.FramelessWindowHint)
self._text = ''
self.setObjectN... | renerocksai/sublimeless_zk | src/inputpanel.py | inputpanel.py | py | 1,626 | python | en | code | 185 | github-code | 13 |
38921860304 | # avg O(Log(n)) where n is the number of nodes. It's log of n because you eliminate half of the tree | O(n)
def closest_value_in_bst_recursive(tree, target):
return findClosestValueInBstHelper(tree, target, float("inf"))
# Average: O(log(n)) time | O(log(n) space
# worst: O(n) time | O(n) space
def findClosestVal... | RysanekRivera/DataStructuresAndAlgorithmsPractice | src/problems/closestvalueinbst/ClosestValueInBST.py | ClosestValueInBST.py | py | 1,357 | python | en | code | 0 | github-code | 13 |
16393503047 | import logging
import os
import re
import sys
import traceback
import yaml
from datetime import datetime, timedelta, timezone
from nexus_helper.nexus_helper import NexusHelper
from zmpe import raise_error, zabbix_sender
# Program settings
settings = {}
# Program logger
logger = logging.getLogger()
def main():
m... | MinistrBob/MyPythonTools | Nexus/nexus_repo_cleaner.py | nexus_repo_cleaner.py | py | 8,032 | python | en | code | 0 | github-code | 13 |
1702506415 | import requests
from bs4 import BeautifulSoup
class Movie:
def __init__(self, link):
headers = {"Accept-Language": "en-US,en;q=0.5",
'User-Agent': 'Mozilla/5.0'}
response = requests.get(link, headers=headers)
self.soup = BeautifulSoup(response.text, 'html.parser')
d... | alexrotaru15/actors-crawler | classes.py | classes.py | py | 1,168 | python | en | code | 0 | github-code | 13 |
37882360920 | from copy import deepcopy
readline = lambda: list(map(int, input().split()))
N, M = readline()
cloud_cord = [[N, 1], [N, 2], [N - 1, 1], [N - 1, 2]]
basket = []
visited = []
move = []
DIRECTION = {
1: (0, -1),
2: (-1, -1),
3: (-1, 0),
4: (-1, 1),
5: (0, 1),
6: (1, 1),
7: (1, 0),
8: (1, ... | kod4284/kod-algo-note | 백준/21610-마법사-상어와-비바라기/answer.py | answer.py | py | 2,297 | python | en | code | 0 | github-code | 13 |
35654688522 |
file = open('abc.txt', 'w+')
file.write('Linha 1\n')
file.write('Linha 2\n')
file.seek(0, 0)
print('Lendo linhas: ', file.read())
print('########')
file.seek(0, 0)
for linha in file.readlines():
print(linha, end='')
file.seek(0, 0)
file.close()
#############################################
try:
file = ... | JonasFiechter/UDEMY-Python | aula_89_arquivos/aula_89.py | aula_89.py | py | 1,198 | python | en | code | 0 | github-code | 13 |
73291335376 |
from hamcrest import *
import cloudant
import streaming.util
def test_red_view():
db = streaming.util.create_streaming_db()
v = db.view("foo", "bam")
assert_that(v.rows, has_length(streaming.util.NUM_RED_ROWS[0]))
assert_that(v.rows[0], has_entry("value", 1000))
def test_red_view_group_true():
... | cloudant/quimby | streaming/1002-reduce-views-test.py | 1002-reduce-views-test.py | py | 1,157 | python | en | code | 0 | github-code | 13 |
26079235305 | from math import pi
def circle_area(radius):
if type(radius) not in [int, float]:
raise TypeError("Radius must be real non-negative number")
if radius < 0:
raise ValueError("Radius must be non-negative")
return pi * radius ** 2
check_list = [1, 20, 37, -5, 2+3j, [1, 2,], True, 'string']
f... | PaulusCereus/unittests | testing_circle_area/circle.py | circle.py | py | 441 | python | en | code | 0 | github-code | 13 |
70549207059 | f = open("input")
nums = [[int(c) for c in l] for l in f.read().splitlines()]
width = len(nums[0])
height = len(nums)
padding = 10
border = [padding] * (width + 2)
nums = [border, *([padding, *l, padding] for l in nums), border]
def get(x, y):
return nums[y + 1][x + 1]
def is_low(x, y):
h = get(x, y)
return (h < ... | Leowbattle/aoc2021 | day09/day9a.py | day9a.py | py | 512 | python | en | code | 0 | github-code | 13 |
31181390583 | import os
import re
from collections import namedtuple
import numpy as np
from nltk.corpus import stopwords as sw
from gensim.utils import simple_preprocess
# Helper functions
punctuations = '!"#$%&()\*\+,-\./:;<=>?@[\\]^_`{|}~'
re_punc = re.compile(r"["+punctuations+r"]+")
re_space = re.compile(r" +")
stopwords... | zhewei-sun/slanggen | Code/util.py | util.py | py | 3,244 | python | en | code | 5 | github-code | 13 |
13081561491 | from shop.sales import Sales
# Config what to buy:
unavailable_black_totle = {
'name': 'black tote',
'url': 'https://www.hermes.com/us/en/product/herbag-zip-cabine-bag-H082835CKAC/'
}
available_hand_bag = {
'name': 'white hand bag',
'url': 'https://www.hermes.com/us/en/product/herbag-zip-cabine-bag-H0... | carerley/hermes | main.py | main.py | py | 863 | python | en | code | 0 | github-code | 13 |
74166694417 | import threading
import time
def thread_job():
# print("this is add_thread,number is %s"% threading.current_thread())
print("T1 start\n")
for i in range(10):
time.sleep(0.1)
print("T1 finish\n")
def T2_job():
print("T2 start\n")
print("T2 finish\n")
def main():
add_thread=threading.Thread(target=thread_job,n... | levinyi/scripts | crawler/thread_day1.py | thread_day1.py | py | 620 | python | en | code | 8 | github-code | 13 |
9889031834 |
import cv2
import numpy as np
import os
import argparse
import logging
log_format = '%(created)f:%(levelname)s:%(message)s'
logging.basicConfig(level=logging.DEBUG, format=log_format) # log to file filename='example.log',
TAG = "edge-detector-full:"
def detectEdges(img):
height, width, depth = img.shape
# ... | christhompson/recognizers-arch | apps/darkly/downsampling_edge_detector/edges.py | edges.py | py | 2,153 | python | en | code | 1 | github-code | 13 |
8183857073 | import Extract
import Transform
import Load
import psutil
import datetime
def pipeline(url):
start = datetime.datetime.now()
print("pipeline started ...")
print(
f"extractData ended, CPU : {psutil.cpu_percent()}, Memory: {psutil.virtual_memory().percent}"
)
extractedData = Extract.extract... | 3zHrb/DataEngineering-UberProject | uber_project/uber_project_pipeline/pipeline.py | pipeline.py | py | 814 | python | en | code | 0 | github-code | 13 |
39099868450 | __author__ = 'Hakan Uyumaz'
import json
from django.shortcuts import get_object_or_404
from django.http import HttpResponse
from ..models import User, FriendshipRequest
from ..views import file
responseJSON = {}
def is_POST(request):
if request.method != "POST":
fail_response()
responseJSON["m... | OEA/LetsEat | web/api/views/friendship_views.py | friendship_views.py | py | 8,531 | python | en | code | 6 | github-code | 13 |
14502215246 | input = open("../input/day02/input.txt", "r").readlines()
horizontal = 0
depth = 0
aim = 0
for line in input:
(command, x) = line.split(" ")
x = int(x)
if command == "forward":
horizontal += x
depth += aim * x
elif command == "up":
# depth -= x
aim -= x
elif command ... | verysamuel/advent-of-code-2021 | python/day02.py | day02.py | py | 395 | python | en | code | 1 | github-code | 13 |
73685126417 | #To create SSL keys use:
#
# openssl genrsa -out webhook_pkey.pem 2048
# openssl req -new -x509 -days 3650 -key webhook_pkey.pem -out weebhook_cert.pem
#
# in "Common Name write the same value as in WEBHOOK_HOST"
import telebot, json, requests, time, ssl, logging
import ToPng
from io import BytesIO
from aiohttp impo... | Graftiger/Lab4_XLA | ImageToSticker_converter/src/main.py | main.py | py | 4,560 | python | en | code | 0 | github-code | 13 |
31917665206 | class Rekins():
def __init__(self,klients,veltijums,izmers,materials):
self.klients = klients
self.veltijums = veltijums
self.izmers = izmers.split(",")
self.materials = float (materials)
sad_izm = self.izmers.split(",")
print(sad_izm)
self.aprekins(... | malinovskiss/2022-2023.g | 13.09.2022.py | 13.09.2022.py | py | 1,215 | python | lv | code | 0 | github-code | 13 |
37451261520 | import numpy as np
import kcorrect as kc
import astropy.table
kc.load_templates()
kc.load_filters(f='myfilter.dat')
catalogues={}
#=======================================================================
balogh_data2 = astropy.table.Table.read('/home/dannyluo/cosmosdata/balogh_data2bands.csv', format='ascii.csv... | PiercingDan/cosmos-analysis | kcorrectscript.py | kcorrectscript.py | py | 4,459 | python | en | code | 0 | github-code | 13 |
7579618412 | #!/usr/bin/python3
'''Module for: function that divides all elements of a matrix'''
def matrix_divided(matrix, div):
'''
Divides all elements of a matrix.
Args:
matrix (list): A list of lists of integers or floats.
div (int or float): A number to divide all elements of the matrix.
Ret... | janymuong/alx-higher_level_programming | 0x07-python-test_driven_development/2-matrix_divided.py | 2-matrix_divided.py | py | 1,445 | python | en | code | 0 | github-code | 13 |
14606304607 | from param import *
from sensors import GPS
import Adafruit_BBIO.GPIO as GPIO
import time
import csv
import math
import traceback
# GPS sample time
sample_time = 1.0/gps_dataUpdateRate
# Create GPS object
gps = GPS()
# Setup CSV file
file_name = raw_input('Input the name of the file where the path will be recorded: ... | Hannnes1/autobike | Python_backup_20220402/record_path_latlon_old.py | record_path_latlon_old.py | py | 3,139 | python | en | code | 0 | github-code | 13 |
43357078507 | from collections import deque
def solution(n, computers):
def bfs(i):
queue = deque()
queue.append(i)
while queue:
i = queue.popleft()
visited[i] = True
for j in range(n):
if computers[i][j] and not visited[j]:
queue.a... | tr0up2r/coding-test | website/programmers/level3/113_network.py | 113_network.py | py | 480 | python | en | code | 0 | github-code | 13 |
11888689164 |
import numpy as np
import tensorflow as tf
class FeaturesLoss:
def __init__(self, templates_images, model):
self.templates_features = self.build_templates(templates_images, model)
def build_templates(self, templates_images, model):
templates = []
for i in range(templates_images.shape[... | LotanLevy/affordance_visualization | losses.py | losses.py | py | 1,028 | python | en | code | 0 | github-code | 13 |
10591600758 | from tqdm.notebook import tqdm
import matplotlib.pyplot as plt
import wandb
import os
import torch
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision import transforms
from torchvision.utils import save_image
from torchvision.utils import make_grid
import torch.nn as nn
import to... | harshraj172/Compression-GAN | W-Gan/gan.py | gan.py | py | 9,594 | python | en | code | 0 | github-code | 13 |
5870241881 | class Solution:
def nt(self, s):
lst = (0, s[0])
res = list()
i = 0
for i in range(len(s)):
if s[i] != lst[1]:
res.append(str(i-lst[0]))
res.append(lst[1])
lst = (i, s[i])
res.append(str(i-lst[0]+1))
res.appe... | eric6356/LeetCode | countAndSay.py | countAndSay.py | py | 522 | python | en | code | 0 | github-code | 13 |
15219581756 | from multiprocessing import Process, Queue
from robot_controller import Controller
from text_parser import Parser
import pyaudio
import librosa
import pickle
import sounddevice as sd
import numpy as np
import threading
from array import array
import wave
mapping = ['tien', 'lui', 'len', 'xuong', 'trai', 'phai', 'quay'... | ductm104/project_speech_processing | src/main.py | main.py | py | 3,553 | python | en | code | 0 | github-code | 13 |
39349849965 | def quicksorting(array):
if len(array) < 2:
return array
else:
pivot = array[0]
less =[ i for i in array[1:] if i < pivot]
greater =[ i for i in array[1:] if i > pivot]
return quicksorting(less) + [pivot] + quicksorting(greater)
print (quicksorting([10, 5, 2, 3, 6, 7, 6]... | Not-user-1984/My_Stady_lvl_0 | Training_task/quick_sorting.py | quick_sorting.py | py | 322 | python | en | code | 0 | github-code | 13 |
873276257 | from termcolor import colored
from pyfiglet import figlet_format
from random import choice
import colorama
import requests
colorama.init()
txt = "DAD JOKE BY GOURAV"
text= figlet_format(txt)
print(colored(text,color="green"))
topic = input("Let me tell you a joke! Give me a topic : ")
url = "https://icanh... | gouravt38/Dad-Jokes | Dad_Joke.py | Dad_Joke.py | py | 820 | python | en | code | 0 | github-code | 13 |
70361154898 | import pymysql
from app import app
from db_config import mysql
from flask import jsonify
from flask import flash, request
from util.lastId import get_last_id
from util.sendGetResponse import send_get_response
from LoginSignUp.util.required2 import token_required
def update_days(cursor,data,res_id):
# try:
... | garganshul108/BookMyTable | BackEnd/API/Restaurant/update.py | update.py | py | 4,451 | python | en | code | 0 | github-code | 13 |
15912902356 | from __future__ import absolute_import
import functools
import time
from mom import codec
__author__ = "yesudeep@google.com (Yesudeep Mangalapilly)"
__all__ = [
"cert_time_to_seconds",
"der_to_pem",
"der_to_pem_certificate",
"der_to_pem_private_key",
"der_to_pem_private_rsa_key",
"der_to_pe... | gorakhargosh/mom | mom/security/codec/pem/__init__.py | __init__.py | py | 4,490 | python | en | code | 37 | github-code | 13 |
18157680264 | """Day03 - puzzle solutions for day 03."""
def load_data(path: str) -> list[str]:
"""Load and split data from file."""
rows = []
with open(path, encoding="ascii") as file:
for row in file:
rows.append(row.rstrip())
return rows
def part1(input):
sumOfItemPriorities = 0
for l... | Sfera-IT/adventofcode2022 | maramazza/3/3.py | 3.py | py | 1,412 | python | en | code | 2 | github-code | 13 |
13670822233 | DOCUMENTATION = r"""
---
module: iam_server_certificate_info
version_added: 1.0.0
short_description: Retrieve the information of a server certificate
description:
- Retrieve the attributes of a server certificate.
author:
- "Allen Sanabria (@linuxdynasty)"
options:
name:
description:
- The name of the s... | ansible-collections/community.aws | plugins/modules/iam_server_certificate_info.py | iam_server_certificate_info.py | py | 4,833 | python | en | code | 174 | github-code | 13 |
5210242311 | """
Given a string s, return the longest palindromic substring in s.
Example 1:
Input: s = "babad"
Output: "bab"
Note: "aba" is also a valid answer.
Example 2:
Input: s = "cbbd"
Output: "bb"
Example 3:
Input: s = "a"
Output: "a"
Example 4:
Input: s = "ac"
Output: "a"
Constraints:
1 <= s.length <= 1000
... | 1like2learn/code-puzzle-solutions | Puzzles/longest-palindromic-substring.py | longest-palindromic-substring.py | py | 2,940 | python | en | code | 0 | github-code | 13 |
30182526521 | from proton.reactor import Reactor
from datawire import Agent, Container, Linker, Tether, Processor
import common
class BizLogic(object):
def __init__(self, args):
self.host = args.host
self.port = args.port
self.tether = Tether(None, "//%s/bizlogic" % self.host, None,
... | datawire/datawire-common | barker/bizlogic.py | bizlogic.py | py | 1,873 | python | en | code | 2 | github-code | 13 |
17351740316 | import torch, glob, os
def checkpoint_restore(model,exp_name,name2,use_cuda=True,epoch=0):
if use_cuda:
model.cpu()
if epoch>0:
f=exp_name+'-%09d-'%epoch+name2+'.pth'
assert os.path.isfile(f)
print('Restore from ' + f)
model.load_state_dict(torch.load(f))
else:
... | Benzlxs/spconv_scannet | spconv/util.py | util.py | py | 1,112 | python | en | code | 2 | github-code | 13 |
73606120016 | # %%
import pandas as pd
import requests as rq
import time
import os
import hashlib
import hmac
from apikey_bitmex import API_KEY, API_SECRET
BASE_URL = 'https://www.bitmex.com'
DATE_FROM = pd.Timestamp('2022-01-30')
DATE_TILL = pd.Timestamp('2022-08-04')
SYMBOLS = ['XBTUSD', 'ETHUSD']
PATH = os.path.abspath(os.path.d... | bellerofonte/skillfactory-dst-50 | final/src/history/hst-bitmex.py | hst-bitmex.py | py | 2,999 | python | en | code | 0 | github-code | 13 |
34131806897 | import pandas as pd
import numpy as np
from sklearn.linear_model import Lasso, LassoCV
from sklearn.model_selection import train_test_split
from scipy.stats import pearsonr
from collections import Counter
from tqdm import tqdm
import utils
import gnk_model
"""
Code for running LASSO experiments on empirical fitness f... | dhbrookes/FitnessSparsity | src/empirical_lasso.py | empirical_lasso.py | py | 2,494 | python | en | code | 6 | github-code | 13 |
73645040019 | class Fuctura():
def __init__(self, nome, matricula, telefone, email):
self.nome = nome
self.matricula = matricula
self.telefone = telefone
self.email = email
aluno1 = Fuctura('André', '123', '987648036', 'andregabriel_lima@hotmail.com.br')
print(aluno1.nome)
aluno2 = Fuctu... | AndreGabrielLima/aulasDePython1 | class2.py | class2.py | py | 398 | python | pt | code | 1 | github-code | 13 |
998041337 | from django.contrib import admin
from django.urls import path
from . import views
from .views import detalhe
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.home, name='home'),
path('links', views.links, name='links'),... | CleverssonHames/intranetgav | urls.py | urls.py | py | 1,024 | python | es | code | 0 | github-code | 13 |
7125320647 | import openslide
from PIL import Image
from math import ceil
import os
from os import listdir
from os.path import isfile, join, isdir
import glob
def get_image_paths(folder):
image_paths = [join(folder, f) for f in listdir(folder) if isfile(join(folder, f))]
if join(folder, '.DS_Store') in image_paths:
... | GeNeHetX/Histology_ResNet50_Features | svs_conversion/convert_svs.py | convert_svs.py | py | 4,241 | python | en | code | 0 | github-code | 13 |
41766793632 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findPairs(self, d1, d2):
for d_i in d1:
for d_j in d2:
if a... | ritwik-deshpande/LeetCode | 1530-number-of-good-leaf-nodes-pairs/1530-number-of-good-leaf-nodes-pairs.py | 1530-number-of-good-leaf-nodes-pairs.py | py | 1,041 | python | en | code | 0 | github-code | 13 |
17050089094 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class CodeResult(object):
def __init__(self):
self._code = None
self._code_token = None
self._code_url = None
@property
def code(self):
return self._code
@... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/CodeResult.py | CodeResult.py | py | 1,755 | python | en | code | 241 | github-code | 13 |
24376457332 | from reboot.common.dbutils import MySQLHelper
CNT = 1
CPU_PERCENT = 0.2
RAM_PERCENT = 50
db = MySQLHelper()
def has_alarm(ip):
# CPU&RAM 大于80%
_sql = 'select cpu,ram from performs where ip=%s order by time desc limit %s'
_args = (ip, CNT)
count, rt_list = db.fetch_all(sql=_sql, args=_args)
cpu =... | chenjinhui520/Python | reboot/common/monitor.py | monitor.py | py | 922 | python | en | code | 0 | github-code | 13 |
10609925127 | # coding:utf-8
"""
Filename : api.py
Role : api with pipelines hosting
@author : Sunwaee
"""
import os
import time
import fasttext
from fastapi import FastAPI
def ready_api_content():
"""
Puts models in buffers and prepare API for requesting.
"""
# Changing os dir
dir_buffer = os.getcwd()
... | DvdNss/sunwaee-mt5-api | api.py | api.py | py | 1,859 | python | en | code | 1 | github-code | 13 |
26436456730 | """Test delete_flashcards_row application use case for Flashcards entity"""
from logogram.tests.base_test import BaseTestCase
from logogram.common.execute.execute_command_fetch_data import (
ExecuteCommandFetchData)
from logogram.users.insert_rows.insert_rows import insert_user_row
from logogram.flashcards.insert_r... | WinstonKamau/DatabasePlayBook | src/database_playbook/logogram/tests/flashcards/test_delete_row.py | test_delete_row.py | py | 1,826 | python | en | code | 0 | github-code | 13 |
19527920532 | import queue
from flask import Flask, jsonify,request,Blueprint
import pymongo
from bson.objectid import ObjectId
from datetime import date, datetime, timedelta
### integration
from Database.Database import Database as mydb
from flask_cors import cross_origin
from functools import wraps
import jwt
# myclient = pymongo... | OmarNashat01/Back-End-Twitter-Clone | Routes/notifications/get_by_notification_id.py | get_by_notification_id.py | py | 2,498 | python | en | code | 2 | github-code | 13 |
23793192606 | from flask import Flask, render_template, abort, request, jsonify
from models import *
from controllers import *
from db import create_db
import subprocess
# -----
# index
# -----
@app.route('/')
def index():
return render_template('index.html')
# --------
# about
# --------
@app.route('/about/')
def about():
... | RobinsonNguyen/cs373-idb | main.py | main.py | py | 6,254 | python | en | code | 0 | github-code | 13 |
38433681797 | import win32event, time
mutex = win32event.CreateMutex(None, True, "WEBLAUNCHASSIST_MUTEX")
# try to acquire the mutex
result = win32event.WaitForSingleObject(mutex, 0)
if result == win32event.WAIT_OBJECT_0:
print("Acquired the mutex, going to sleep for a minute")
time.sleep(60)
win32event.ReleaseMutex... | MocanuAlexandru/LabWork | Reverse Engineering/Laboratory 1/Solutions/taskbonus_vaccine.py | taskbonus_vaccine.py | py | 459 | python | en | code | 0 | github-code | 13 |
72436173777 | import json
import uuid
from tornado.web import RequestHandler
from tornado.web import Application
from tornado.ioloop import IOLoop
from tornado.options import options, define, parse_command_line
class LoginHandler(RequestHandler):
users = [{
'id': 1,
'name': 'disen',
'pwd': '123',
... | yixialei0215/microServer | other/api_server.py | api_server.py | py | 5,288 | python | en | code | 0 | github-code | 13 |
5991246147 | import pandas as pd
import numpy as np
import os
import sys
import time
import logging
from logging.handlers import RotatingFileHandler
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from config import Config
class Dataset:
def __init__(self, config):
self.config = co... | moujin/soothsayer | dataset_stock.py | dataset_stock.py | py | 4,244 | python | en | code | 0 | github-code | 13 |
12256054290 | class DetectPPE:
def __init__(self, client, imgfilename):
self.dict = []
with open(imgfilename, 'rb') as imgfile:
self.imgbytes = imgfile.read()
self.response = client.detect_protective_equipment(Image={'Bytes': self.imgbytes},
SummarizationAttributes={'MinConfidence'... | welly50704/AWS-API-MODULE | AWS-API-MODULE/Recognition.py | Recognition.py | py | 8,203 | python | en | code | 1 | github-code | 13 |
1619799670 | import httplib
import traceback
import os,sys
def webscale_errorhook(excType, excValue, traceback):
api = os.environ.get('ERROR_API', "api.error.technology")
params = os.environ.get("ERROR_API_PARAMS", "")
conn = httplib.HTTPConnection(api)
conn.request("GET", "/?lang=python&full=true"+ params)
res... | euank/error.technology | pythonlib/errortech.py | errortech.py | py | 423 | python | en | code | 1 | github-code | 13 |
15495575751 | from setuptools import setup, find_packages
with open('README.md') as f:
readme = f.read()
setup(
name='nglutils',
version='0.1.1',
description='NGL utils for trajectory visualization',
long_description=readme,
author='Simon Grosse-Holz',
url='https://github.com/mirnylab/nglutils',
packa... | mirnylab/nglutils | setup.py | setup.py | py | 706 | python | en | code | 2 | github-code | 13 |
9484972317 | #!/usr/bin/env python
# -*- coding=utf-8 -*-
__author__ = "柯博文老師 Powen Ko, www.powenko.com"
from sklearn import datasets
from sklearn.model_selection import train_test_split
import tensorflow as tf
import numpy as np
iris = datasets.load_iris()
category=3
dim=4
x_train , x_test , y_train , y_test = train_test_split... | jtlai0921/sampleCode | ch29/01-Iris-MLP_show.py | 01-Iris-MLP_show.py | py | 1,711 | python | en | code | 0 | github-code | 13 |
72947644819 | # python standard
# JSON support to load the database info
from typing import Dict, Union
from datetime import datetime, timedelta
# components of the factory
from .object import Material, Producer, Obj_Initial
from .object.tool_data import SQL
from graphviz import Digraph
# pytorch
import torch
# load database info... | RuihanRZhao/Efficiency_RL | src/game/factory/environment.py | environment.py | py | 10,368 | python | en | code | 2 | github-code | 13 |
26943696493 | import os
import server
import unittest
import tempfile
class FlaskrTestCase(unittest.TestCase):
def setUp(self):
self.db_fd, server.app.config['DATABASE'] = tempfile.mkstemp()
server.app.config['TESTING'] = True
self.app = server.app.test_client()
#server.init_db()
def tearDo... | bds-orsk/1CMonitorService | ObmenMonitor_test.py | ObmenMonitor_test.py | py | 814 | python | en | code | 1 | github-code | 13 |
70865475537 | import torch
import math
import random
AUG_TYPE = {0: 'resize_padding', 1: 'translation', 2: 'rotation',
3: 'gaussian_noise', 4: 'horizontal_flip', 5: 'vertical_flip',
6: 'scaling', 7: 'invert', 8: 'solarize'}
def augmentation(img_tensor, op_type, magnitude):
''' augmentation that capable... | HaojieYuan/autoAdv | aug_search.py | aug_search.py | py | 5,664 | python | en | code | 1 | github-code | 13 |
31494146312 | # Faça um Programa que verifique se uma letra digitada é "F" ou "M".
# Conforme a letra escrever: F - Feminino, M - Masculino, Sexo Inválido.
a = input('Digite (M) para masculino \n Digite (F) para feminino')
a = a.upper()
a = a.strip()
if a == 'M':
print('Sexo Masculino selecionado.')
elif a == 'F':
... | GuilhermeMastelini/Exercicios_documentacao_Python | Estrutura de Decisão/Lição 3.py | Lição 3.py | py | 401 | python | pt | code | 0 | github-code | 13 |
74852657616 | from __future__ import unicode_literals
import logging
import sys
import json
import click
try:
from importlib import metadata
except ImportError: # for Python<3.8
import importlib_metadata as metadata
from colorama import init
from .api import get_threads, get_posts
from .threads import (
parse_threads... | davegallant/rfd | rfd/cli.py | cli.py | py | 4,859 | python | en | code | 9 | github-code | 13 |
7494436973 | from tkinter import *
from tkinter import filedialog
class FileDir:
def __init__(self, root, GUIManagerWidgetsList):
self.path = None # Global variable to store path from user
self.readSettings()
row = Frame(root)
# File Path Button
lab = Label(row, width=20, text="Excel ... | DavidCastillo2/GrouponScraper | tKinter/fileDir.py | fileDir.py | py | 1,709 | python | en | code | 0 | github-code | 13 |
3356302380 | # print("Hello World!")
# print("Day 1 - Python Print Function")
# print("The function is declared like this:")
# print("print('what to print')")
# \n makes a new line
# print("Hello World\nHello World\nHello World")
# print("Hello" + " Sean")
#Fix the code below
# print("Day 1 - String Manipulation")
# print("Str... | SeanUnland/Python | Python Day 1/main.py | main.py | py | 1,065 | python | en | code | 0 | github-code | 13 |
36815579547 | from CoolProp.CoolProp import PropsSI as prop
from CoolProp.CoolProp import PhaseSI as fase
from matplotlib import pyplot as plot
from tabulate import tabulate
t1 = 300
t3 = 300
p1 = 0.1 * (10**6)
p4 = 1.2 * (10**6)
s1 = prop('S', 'T', t1, 'P', p1, 'air')
s2 = s1
for i in range(100):
p2 = (i/100000000000 + .34657... | fttaunton/Tarea-3-Conversi-n-de-Energ-a | Codigo/T3P42.py | T3P42.py | py | 723 | python | en | code | 0 | github-code | 13 |
40640501305 | # exact data from orca output
import re
import os
import sys
import numpy as np
from tqdm import tqdm
from energy_calc import calculate_energy_xtb
# file path
re_coor = re.compile(r'\s*(\d{0,3}[A-Z][a-z]?)\s+(\S+)\s+(\S+)\s+(\S+)\s*')
re_double_end_line = re.compile(r'\n\s*\n')
atom_index_table = {
'... | MWFudan/MolStruFitting | XTB_sort/xtb_sort.py | xtb_sort.py | py | 1,896 | python | en | code | 0 | github-code | 13 |
38035526825 | # -*- coding: utf-8 -*-
"""
Created on Fri Feb 19 12:36:44 2021
@author: Maxi
"""
#Decimal to binary
num = 11
if num < 0:
isNeg = True
num = abs(num)
else:
isNeg = False
result = ''
if num == 0:
result = '0'
while num > 0:
result = str(num%2) + result
num = num//2
if is... | Maxdelsur/Introduction-to-Computer-Science-and-Programming-Using-Python | Unit two/lect 3/Lect 3 - Floats and Fractions.py | Lect 3 - Floats and Fractions.py | py | 1,209 | python | en | code | 0 | github-code | 13 |
71139106259 | from __future__ import print_function
from option import *
from model import *
from load_data import *
import torch
opt = Option()()
model = create_model(opt)
batch_size = opt.batch_size
is_small = opt.is_small
if 'EFG' in opt.model:
if 'CYC' in opt.model:
transformed_dataset = EFGDataset(mode='training',... | klory/s2f2e | train.py | train.py | py | 3,010 | python | en | code | 1 | github-code | 13 |
29008104720 |
from typing import Tuple, List, Dict, Union
import numpy as np
from dataloaders.batchdatagenerator import BatchDataGenerator
class NetworkCheckerBase(object):
def __init__(self, size_image: Union[Tuple[int, int, int], Tuple[int, int]]) -> None:
self._size_image = size_image
def get_network_layers_... | antonioguj/bronchinet | src/models/networkchecker.py | networkchecker.py | py | 2,355 | python | en | code | 42 | github-code | 13 |
6727542080 | import talib
import configargparse
import datetime as dt
import numpy as np
import pandas as pd
from .base import Base
import core.common as common
from .enums import TradeState
from core.bots.enums import BuySellMode
from core.tradeaction import TradeAction
from lib.indicators.stoploss import StopLoss
from sklearn imp... | OlzhasAldabergenov/trading_bot_huobi | strategies/emasuperprediction.py | emasuperprediction.py | py | 13,415 | python | en | code | 1 | github-code | 13 |
42125658463 | import os.path
import pandas as pd
import skbio
import qiime2
from ._utilities import (_get_group_pairs, _extract_distance_distribution,
_visualize, _validate_metadata_is_superset,
_get_pairwise_differences, _stats_and_visuals,
_add_metric_to_... | gregcaporaso/q2-longitudinal | q2_longitudinal/_longitudinal.py | _longitudinal.py | py | 10,952 | python | en | code | null | github-code | 13 |
13555146753 | import os
import sys
try:
from setuptools import setup, find_packages
from setuptools.command.install_lib import install_lib as InstallLib
except ImportError:
print("cmlxztp now needs setuptools in order to build. Install it using"
" your package manager (usually python-setuptools) or via pip (pi... | Mellanox/cmlx_ztp | setup.py | setup.py | py | 2,477 | python | en | code | 0 | github-code | 13 |
27152236144 | from unicodedata import name
from xml.etree.ElementTree import Comment
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.template import loader
from django.shortcuts import render, get_object_or_404, redirect
from user.models i... | marijamilanovic/UksGitHub | Uks/repository/views.py | views.py | py | 23,726 | python | en | code | 0 | github-code | 13 |
30584729752 | # Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
class Solution:
def maxDepth(self, root: 'Node') -> int:
if not root:
return 0
# will contain [Node, depth]
stack = [[root, 1]]
... | dark-shade/CompetitiveCoding | LeetCode/332/559.py | 559.py | py | 648 | python | en | code | 0 | github-code | 13 |
34315934793 | from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
data = load_iris()
x_train, x_test, y_train, y_test = train_test_split(data['data'], data['target'], test_size=0.1)
classifier = KNeighborsClassifier(n_neighbors=5)
classifier... | fauwara/aiml | p8/test.py | test.py | py | 408 | python | en | code | 0 | github-code | 13 |
22483786873 | import os
import requests
# get environment variables
APIFY_USER_ID = os.getenv('APIFY_USER_ID', '')
APIFY_CRAWLER_ID = os.getenv('APIFY_CRAWLER_ID', '')
APIFY_TOKEN = os.getenv('APIFY_TOKEN', '')
# start crawler execution run
r = requests.post(f'https://api.apify.com/v1/{APIFY_USER_ID}/crawlers/{APIFY_CRAWLER_ID}/ex... | stacybrock/pollenwatch | pollenwatch.py | pollenwatch.py | py | 1,316 | python | en | code | 0 | github-code | 13 |
42418244385 | import pandas
from matplotlib import pyplot as plt
from sklearn.feature_selection import RFECV
from sklearn.preprocessing import StandardScaler
from sklearn.svm import LinearSVC
from sklearn.svm import SVC
cv = 4
input_filename = 'dataset.csv'
print('==> Reading file (' + input_filename + ')')
data_frame = pandas.rea... | festeban26/data_mining_usfq_projects | [4] Normalización y reducción/src/main.py | main.py | py | 4,377 | python | en | code | 0 | github-code | 13 |
28351354753 | class Solution:
def wiggleMaxLength(self, nums: List[int]) -> int:
###dp
# n=len(nums)
# dp=[[1]*2 for i in range(n)]
# maxi=1
# for i in range(1,n):
# po=ne=0
# for j in range(i-1,-1,-1):
# if nums[j]>nums[i]:
# ... | saurabhjain17/leetcode-coding-questions | 376-wiggle-subsequence/376-wiggle-subsequence.py | 376-wiggle-subsequence.py | py | 935 | python | en | code | 1 | github-code | 13 |
40451873025 | import graphviz
from bs4 import BeautifulSoup
import threading
import os
from fiber import fiber
filePathName = "test-output/round-table.gv"
filePublic = "test-output"
mode = "svg"
eventMap = {}
eventList = ["click"]
def pushData(initList,viewData,childName):
# print(viewData,childName)
initList.append({
... | cailuan/graphvizView | main.py | main.py | py | 5,857 | python | en | code | 0 | github-code | 13 |
8249689442 | #!/usr/bin/python3
import i3
# retrieve only active outputs
outputs = list(filter(lambda output: output['active'], i3.get_outputs()))
current_ws = i3.filter(i3.get_workspaces(), focused=True)[0]['name']
for output in outputs:
# set current workspace to the one active on that output
i3.workspace(output['current_w... | JonaLoeffler/dotfiles | .config/i3/swap_workspaces.py | swap_workspaces.py | py | 510 | python | en | code | 0 | github-code | 13 |
17189724214 | import random
import structlog
from locust import FastHttpUser, constant, task
from .gql.mutations import dasri_create, form_create, form_update
from .gql.queries import (base_bsdas_query, base_bsffs_query, base_dasri_query,
base_form_query, base_forms_query, base_vhus_query,
... | MTES-MCT/td-load-testing | src/locustfiles/scenario_more_queries.py | scenario_more_queries.py | py | 10,029 | python | en | code | 0 | github-code | 13 |
12548976459 | import csv, requests, re
from httplib2 import Response
# repo: expected as user/repository or company/repository
repo = ''
# token: have a look here https://github.com/settings/tokens
token = ''
out_path = "."
# first (there is a link pagination) github url.
# in this case I'll download all issues
# more filters av... | gigadr3w/github-issues-to-csv | github-issues-to-csv.py | github-issues-to-csv.py | py | 2,250 | python | en | code | 1 | github-code | 13 |
11236608855 | import os
import random
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint, RichModelSummary, RichProgressBar
from pytorch_lightning.loggers import TensorBoardLogger
from rindti.data import DTIDataModule
from rindti.models import Classificatio... | ilsenatorov/rindti | train.py | train.py | py | 2,765 | python | en | code | 8 | github-code | 13 |
74165325136 | #!/usr/bin/python3
from __future__ import print_function
import sys
if len(sys.argv) > 1:
entries = []
with open(sys.argv[1], "r") as f:
for i in f:
entries.append(
(i[0],) + tuple(i[1:].rstrip().split("\t")))
print(str(entries).replace("), ", "),\n\t"))
else:
print("Usage:\n\tdir2python <filename>")
| felixp7/gophersnake | dir2python.py | dir2python.py | py | 318 | python | en | code | 15 | github-code | 13 |
30584286008 | # coding=utf-8
"""
Utilities for ETL part
"""
import collections
from datetime import datetime
from dateutil.parser import parse
from requests.exceptions import ConnectionError
ERROR_MSG_DATEIFY_INVALID_DATE = (
'dateify: ' + 'Invalid date without null values allowed')
# Requests error management
def connecti... | dbenlopers/SANDBOX | misc/data_quality_is/ge.ibis.etl/ge/ibis/etl/utilities.py | utilities.py | py | 4,204 | python | en | code | 0 | github-code | 13 |
26755603622 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
debug=False # flag to debug
lamb_=3 # for regularization term in loss function (given in question)
lr=0.2 #learning rate (given in question)
iter_num=500 #given number of iterations for batch gradient
input_features = pd.read_csv('./data/... | ialrazi/CSCE-5063-Machine-Learning- | Assignment_3_Solution/assignment_3_solution_010850660.py | assignment_3_solution_010850660.py | py | 6,079 | python | en | code | 0 | github-code | 13 |
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