seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | 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 โ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
73737553955 | # -*- coding: utf-8 -*-
"""Config for the Trunk.
"""
__authors__ = "emenager, tnavez"
__contact__ = "etienne.menager@inria.fr, tanguy.navez@inria.fr"
__version__ = "1.0.0"
__copyright__ = "(c) 2020, Inria"
__date__ = "Jun 29 2022"
import sys
import pathlib
sys.path.insert(0, str(pathlib.Path(__file__).parent.absolute... | SofaDefrost/CondensedFEMModel | Models/2Finger/Config.py | Config.py | py | 1,372 | python | en | code | 1 | github-code | 1 |
12174937484 | # SWEA 1983
# ํ์์ ์ฑ์ ์ ๊ตฌ๋ถํ๊ณ ํน์ ํ์์ ์ฑ์ ์ถ๋ ฅ
T = int(input())
# ์ฌ๋ฌ๊ฐ์ ํ
์คํธ ์ผ์ด์ค๊ฐ ์ฃผ์ด์ง๋ฏ๋ก, ๊ฐ๊ฐ์ ์ฒ๋ฆฌํฉ๋๋ค.
for test_case in range(1, T + 1):
# ์ฒซ๋ฒ์งธ๋ก ํ์ ์์ ์ฑ์ ์ ์๊ณ ์ถ์ดํ๋ ํ์์ Index
N, K = map(int, input().split())
letter_grade = ['A+', 'A0', 'A-', 'B+', 'B0', 'B-', 'C+', 'C0', 'C-', 'D']
new_letter_grade = []
for i in... | BonHyuck/Python | SWEA/D2/1983.py | 1983.py | py | 1,111 | python | ko | code | 1 | github-code | 1 |
41108550582 | import time
import pytest
from gitlabform.gitlabform import GitLabForm
from gitlabform.gitlabform.test import (
create_group,
create_project_in_group,
create_readme_in_project,
get_gitlab,
GROUP_NAME,
)
PROJECT_NAME = "archive_project"
GROUP_AND_PROJECT_NAME = GROUP_NAME + "/" + PROJECT_NAME
@p... | Pigueiras/gitlabform | gitlabform/gitlabform/test/test_archive_project.py | test_archive_project.py | py | 2,990 | python | en | code | null | github-code | 1 |
18941046063 | from time import sleep
from typing import List
from utils.PageObject import PageObject
PRODUCTS_LINK_SELECTOR = ".product .title > h2 > a"
class WallpapersPage(PageObject):
page_url = "https://avi-home.co.il/product-category/wallpapers/"
def scroll_down(self):
self.driver.execute_script("window.scr... | solomonBoltin/AviDesignScrapping | pages/WallpapersPage.py | WallpapersPage.py | py | 1,233 | python | en | code | 0 | github-code | 1 |
74000134433 | import tkinter as Tkinter
import tkinter.messagebox as tkMessageBox
import picamera
import time
import Adafruit_DHT
import RPi.GPIO as GPIO
from RPLCD.i2c import CharLCD
GPIO.setmode(GPIO.BCM)
GPIO.setup(16,GPIO.OUT)
GPIO.setup(20,GPIO.OUT)
GPIO.setup(21,GPIO.OUT)
lcd=CharLCD("PCF8574",0x27)... | Beck0797/Raspberry-Pi-B-Smart-Home | SmartHomeIDP_GUI.py | SmartHomeIDP_GUI.py | py | 2,603 | python | en | code | 0 | github-code | 1 |
33949911726 | # needed imports
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import dendrogram, linkage
import scipy.cluster.hierarchy as sch
import numpy as np
# This determines the clustering method. Check https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html#scipy.cluster.h... | Sockenschlauch/Scenario-Software | clustering.py | clustering.py | py | 3,672 | python | en | code | 0 | github-code | 1 |
71228823393 | import numpy as np
import cv2
'''include if you want some more information about the needed memory'''
#from memory_profiler import profile
#@profile
def NC():
'''Put file name here'''
input_name = "demo.png"
pic = cv2.imread(input_name,1)
gray = cv2.imread(input_name,0)
height, width, _ = pic.sh... | Jacobcrease/Normalmap-Calculator | NC.py | NC.py | py | 3,977 | python | en | code | 1 | github-code | 1 |
33752525086 | # read the dataset
# divide it train test splet 60 to 40
# classfication using svm
# kernel linear and kerneal rbf
# acuuracy and presetion and f1 measure
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
df = pd.read_csv('./classficationData/classifier.csv') # dat... | tawfik-s/ML-Algo | Quiz/main.py | main.py | py | 1,381 | python | en | code | 3 | github-code | 1 |
24522986960 | # -*- coding: utf-8 -*-
import time
from fastapi import FastAPI,Request
from .routers import setu
from .db import on_shutdown, on_start
app = FastAPI()
app.include_router(setu.router)
app.on_event("startup")(on_start)
app.on_event("shutdown")(on_shutdown)
@app.middleware("http")
async def add_process_time_header(... | synodriver/asgi-server-benchmark | app/__init__.py | __init__.py | py | 542 | python | en | code | 7 | github-code | 1 |
72301148514 | from iota.crypto.types import Seed
from iota.crypto.addresses import AddressGenerator
from iota import Iota
from datetime import datetime
import requests, json, zmq
class Node:
def __init__(self, seed=None):
if seed != None:
self.seed = seed
else:
self.seed = str(Seed.r... | 0xCozart/IOTA-CLI | IotaCli/core/api.py | api.py | py | 3,082 | python | en | code | 0 | github-code | 1 |
45184231536 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Music Widget that play music online.
'''
import widget
class Widget(widget.WidgetModel):
'''
Play music
'''
__title__ = 'Music Player'
__author__ = 'Michael Liao'
__description__ = 'Play a music online'
__url__ = 'http://www.expressme.org... | Albertnnn/express-me | src/widget/installed/music_player/__init__.py | __init__.py | py | 1,604 | python | en | code | 0 | github-code | 1 |
19676075192 | from stl import STL, Signal
time_begin = 0 # global begin time
signal = Signal(py_dict={"0": {"content": {"x": 1, "y": 2}},
"1": {"content": {"x": 2, "y": 1}}})
#stl_spec = STL("G[0, 1](0 < x < 1)")
stl_eval = stl_spec.eval(time_begin, signal)
print()
#print("original STL expr: ")
#print(st... | sychoo/STL-API | stl/example/api/stl/weaken2.py | weaken2.py | py | 517 | python | en | code | 1 | github-code | 1 |
32649234953 | import signal
import subprocess
import os
import sys
def readCard():
print(sys.platform)
if(sys.platform == "linux"):
proc = subprocess.run('javac -cp .:./lib/pteidlibj.jar main.java', shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
proc1 = subprocess.run('java -Djava.libr... | surething-project/SurePresenceKiosk | kiosk/card.py | card.py | py | 866 | python | en | code | 0 | github-code | 1 |
40329203690 | import cvxpy as cvp
import numpy as np
from collections import namedtuple
from mayavi import mlab
from mayavi.mlab import points3d, plot3d, quiver3d
import matplotlib.pyplot as plt
"""
http://www.larsblackmore.com/iee_tcst13.pdf
carrying the same assumption here that X is up (i.e. normal to land)
TODO:
- fix q... | heidtn/ksp_autopilot | gfold_test.py | gfold_test.py | py | 7,980 | python | en | code | 1 | github-code | 1 |
4458860862 | import logging.config
import os
from flask import Flask, Blueprint
import settings
from api.restplus import api
from api.auth.endpoints.register import ns as authentication_namespace
from database.models import mysql as db
app = Flask(__name__)
logging_conf_path = os.path.normpath(os.path.join(os.path.dirna... | mani144/flask_blueprint_swagger_mysql | server.py | server.py | py | 2,094 | python | en | code | 2 | github-code | 1 |
71015652195 | # Title: Structure Of Balanced Networks
# Link: https://www.acmicpc.net/problem/16721
import sys
from collections import defaultdict
sys.setrecursionlimit(10 ** 6)
def read_single_int(): return int(sys.stdin.readline().strip())
def read_list_words(): return sys.stdin.readline().strip().split(' ')
... | yskang/AlgorithmPractice | baekjoon/python/structure_of_balanced_networks_16721.py | structure_of_balanced_networks_16721.py | py | 1,985 | python | en | code | 1 | github-code | 1 |
25431510339 | import sys
input = sys.stdin.readline
def is_palindrome(word: str) -> bool:
return word == word[::-1]
def is_similarity_palindrome(word: str) -> bool:
n = len(word)
left, right = 0, n-1
delete = False
while left <= right:
if word[left] == word[right]:
left += 1
... | reddevilmidzy/baekjoonsolve | ๋ฐฑ์ค/Gold/17609.โ
ํ๋ฌธ/ํ๋ฌธ.py | ํ๋ฌธ.py | py | 951 | python | en | code | 3 | github-code | 1 |
10390872903 |
from sklearn.decomposition import PCA, TruncatedSVD, SparsePCA
from sklearn.feature_extraction.text import CountVectorizer
from mpl_toolkits import mplot3d
from matplotlib import pyplot as plt
import d2v_model
import iterate_docs
import numpy as np
from itertools import accumulate
def get_pca(docs):
pca = PCA(n_c... | mihir-b-shah/time-analyzer | analyze/doc_visualizer.py | doc_visualizer.py | py | 1,264 | python | en | code | 0 | github-code | 1 |
17290104296 | from django.urls import path
from . import views
from .views import Register
urlpatterns = [
path('cart/', views.view_cart, name='cart'),
path('add_to_cart/<int:product_id>/', views.add_to_cart, name='add_to_cart'),
path('remove_from_cart/<int:cart_item_id>/', views.remove_from_cart, name='remove_from_cart... | MAA8007/ecommerce_django | core/urls.py | urls.py | py | 957 | python | en | code | 0 | github-code | 1 |
44301343774 | # Inspired by allennlp implementation at https://github.com/allenai/allennlp/blob/master/allennlp/common/params.py
def flatten(nested_dict: Dict[str, Any]) -> Dict[str, Any]:
"""
Returns the parameters of a flat dictionary from keys to values.
Nested structure is collapsed with periods.
"""
flat_dic... | nmatthews-asapp/pygist | dict.py | dict.py | py | 2,177 | python | en | code | 0 | github-code | 1 |
42298641554 | import time
import timeit
def LinearSearch(A, key):
current = 1
found = False
AlistSize = len(A)
while current <= AlistSize and found != True:
if(A[current] == key):
found = True
print('Found')
else:
current = current + 1
... | tamerayoub/Linear-and-Binary-Search | LinearSearch.py | LinearSearch.py | py | 1,051 | python | en | code | 1 | github-code | 1 |
34525318959 | def main(array:list):
#* Step 0: assigning variables to the function
array_filter = list()
number_of_pawer = [2,3,4,5,6,7,8,9]
#* Step 1: filter a numbers
for i in range(len(array)):
#* Step 2: exclude any number less than one
if array[i] > 1:
#* Step 3: ensure that th... | oaokm/100-Days-of-Code-Challenge | Python/Algorithms/Numbers/even_and_odd_numbers_algorithm.py | even_and_odd_numbers_algorithm.py | py | 1,985 | python | en | code | 1 | github-code | 1 |
20927519600 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""\
Minimum interval cover
jill-jรชnn vie et christoph dรผrr - 2014-2020
"""
from sys import stdin
from math import sqrt
from tryalgo.our_std import readarray
# pylint: disable=redefined-outer-name
def _solve(iles, rayon):
II = []
for x, y in iles:
if y... | jilljenn/tryalgo | tryalgo/interval_cover.py | interval_cover.py | py | 1,638 | python | en | code | 365 | github-code | 1 |
19511530507 | """
Created on Jul 24, 2018
@author: ionut
"""
import logging
import datetime
from reach.base import Reach
class ReachGPS(Reach):
"""
GPS client implementation for Reach
"""
def __init__(self, host, port, queue):
Reach.__init__(self, host, port, queue, message_delimiter="\n$GNRMC")
... | BWiebe1/openexcavator | openexcavator/reach/gps.py | gps.py | py | 2,161 | python | en | code | 4 | github-code | 1 |
5408299059 | import copy
import sys
# for linux env.
sys.path.insert(0, '..')
import time
import pickle
import argparse
from utils import *
from torch.utils.data.sampler import SubsetRandomSampler
import numpy as np
import torch
import torch.nn.functional as F
import random
import pandas as pd
import json
import matplotlib.pyplot... | calvin-zcx/hidd-sui | main_lstm.py | main_lstm.py | py | 13,250 | python | en | code | 0 | github-code | 1 |
8366309057 | #!/usr/bin/python3
"""new view for State objects"""
from api.v1.views import app_views
from models import storage
from models.state import State
from flask import jsonify, abort, request
@app_views.route(
'/states',
methods=['GET', 'POST'],
strict_slashes=False
)
def states():
""" GET and POST """
... | scan3ls/AirBnB_clone_v3 | api/v1/views/states.py | states.py | py | 1,524 | python | en | code | 0 | github-code | 1 |
2125778137 | from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
from pgportfolio.marketdata.coinlist import CoinList
import numpy as np
import pandas as pd
from pgportfolio.tools.data import panel_fillna
from pgportfolio.constants import *
import sqlite3
from date... | dgeorge1000/portfolio_management_senior_capstone | pgportfolio/marketdata/stockglobaldatamatrix.py | stockglobaldatamatrix.py | py | 3,670 | python | en | code | 2 | github-code | 1 |
70171476835 | #! /usr/bin/env python3
"""
plot the time vs miRNA ratio box plot
"""
import os, sys, re
import json
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
fn = '/data/cqs/chenh19/findadapt/findadapt_bench/2023_realdata/findadapt_res.time_mem_summary.txt'
def get_miRNA_ratio(lb):
... | chc-code/findadapt | utils/simulation_and_benchmark/plot_realdata_time_vs_miRNA_ratio.py | plot_realdata_time_vs_miRNA_ratio.py | py | 2,843 | python | en | code | 0 | github-code | 1 |
25797944919 | # -*- coding: utf-8 -*-
import numpy as np, math, operator
import time
def fwa(W, bitwidth):
max_val = 2**(bitwidth-1) - 1
alpha = np.abs(W).max(axis=1) / max_val
alpha_old = alpha*1.1
while(np.linalg.norm(alpha-alpha_old)>1e-9):
q = W / alpha[:, np.newaxis]
q = np.round(q)
q =... | chenbohua3/BitSplit | quant.py | quant.py | py | 3,395 | python | en | code | null | github-code | 1 |
30340972856 | #!/usr/bin/env python
# Requires PyQt5 and compiltion of GUI files via pyuic
from setuptools import setup, Extension
from setuptools.command.build_py import build_py
try:
from pyqt_distutils.build_ui import build_ui
except ImportError:
print("Please install pyqt_distutils")
print( "(sudo) pip(3) install ... | LemmaSoftware/akvo | setup.py | setup.py | py | 2,591 | python | en | code | 2 | github-code | 1 |
18481376081 | """
Extract activations from a model, almost completely and shamelessly copied from
https://github.com/dieuwkehupkes/diagnosing_lms/tree/interventions.
"""
# STD
from argparse import ArgumentParser
# EXT
from diagnnose.config.setup import ConfigSetup
from diagnnose.extractors.base_extractor import Extractor
from diag... | Kaleidophon/tenacious-toucan | src/replication/extract.py | extract.py | py | 4,218 | python | en | code | 0 | github-code | 1 |
22351360896 | """
Module to call all API endpoints
Author: Moises Gonzalez
Date: 02/Jul/2023
"""
import requests
import json
import logging
from pathlib import Path
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
URL = "http://127.0.0.1:8000"
with open('config.json', 'r') as f:
config = json.load(... | moicesc/mldevops-dynamic-risk-assessment | apicalls.py | apicalls.py | py | 1,662 | python | en | code | 0 | github-code | 1 |
22898563383 | import random
class RockPaperScissors:
def __init__(self):
self.user_name_list, self.user_score_list = [], []
self.user_score = 0
self.user_name = input("Enter your name: ")
print("Hello,", self.user_name)
self.options_list = input()
self.default_win_conditions = {"... | liviu1406/Rock-Paper-Scissors | Rock-Paper-Scissors/task/rps/game.py | game.py | py | 4,596 | python | en | code | 0 | github-code | 1 |
32204723298 | ########## BOOLEANS ##########
# Two possible values: True or False (note capitilisation - must be written as such)
isAlive = True
# Comparisons
# >, <, >=, <= all return a boolean
# == equal to (comparing to see if both the same), != not equal to
# 4.0 == 4 will show true (int and float is the same)
# False, 0.0, 0,... | JLoh17/One-Week-Python | 09_Booleans.py | 09_Booleans.py | py | 826 | python | en | code | 0 | github-code | 1 |
26062129734 | '''La empresa XXXXXX S.A. tiene la siguiente tabla
de parametros para pagar las comisiones de sus empleados
o ejecutivos de venta:
1. Entre 2000000 - 10000000 el 7%
2. Entre 10000000 - 20000000 el 10%
3. Mayor 20000000 el 20%
'''
nombre = (input('Ingrese nombre vendedor '))
comision = int(input('Ingrese total ... | talbylastra/commission-code1 | ejerciciocomisiones1.py | ejerciciocomisiones1.py | py | 720 | python | es | code | 0 | github-code | 1 |
24761517333 | from .serializers import *
import logging
from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework_simplejwt.tokens import RefreshToken
logger = logging.getLogger(__name__)
def get_tokens_for_user(user):
refresh = RefreshToken.for_user(user)
return {
... | slalit360/DRF-assignment | account/views.py | views.py | py | 2,047 | python | en | code | 0 | github-code | 1 |
37232639874 | from config import *
import pygame
from bullet import Bullet
class Player(pygame.sprite.Sprite):
def __init__(self, x, y, file_paths: list, lives,speed_x, sound_bullet, jumping_path, dead_path, character_type) -> None:
pygame.sprite.Sprite.__init__(self)
self.frame_index = 0
... | Behrens0/BehrensTomasLab1AJuegoPython | source/PlayerClass.py | PlayerClass.py | py | 3,507 | python | en | code | 0 | github-code | 1 |
73613324515 | """
Throw-away script to analyze flappy state logs.
"""
from itertools import ifilter
import pickle
from pylab import *
import sys
from flappy import State
def analyze_gravity(state_log):
dec_sequences = [[]]
inc_sequences = [[]]
for i in xrange(1, len(state_log)):
crt, last = state_log[i], state_log[i - ... | alfonsovgs/flappybot | analyze.py | analyze.py | py | 2,640 | python | en | code | 0 | github-code | 1 |
34189932533 | import numpy as np
import sys
import scipy.spatial.distance as dist
import pyparticles.forces.force as fr
class VanDerWaals( fr.Force ) :
def __init__(self , size , dim=3 , m=None , Consts=1.0 ):
self.__dim = dim
self.__size = size
self.__C = Consts # Hamaker coefficient ... | simon-r/PyParticles | pyparticles/forces/van_der_waals_force.py | van_der_waals_force.py | py | 987 | python | en | code | 77 | github-code | 1 |
16239791104 | import os
import time
import logging
import os.path as osp
import torch.distributed as dist
def setup_logger(logpth):
logfile = 'Deeplab_v3plus-{}.log'.format(time.strftime('%Y-%m-%d-%H-%M-%S'))
logfile = osp.join(logpth, logfile)
FORMAT = '%(levelname)s %(filename)s(%(lineno)d): %(message)s'
log_lev... | NoamRosenberg/autodeeplab | utils/logger.py | logger.py | py | 1,133 | python | en | code | 306 | github-code | 1 |
7469955324 | '''
Mini-Project1 - COMP 551 - Winter 2019
Mahyar Bayran
Luis Pinto
Rebecca Salganik
'''
import json # we need to use the JSON package to load the data, since the data is stored in JSON format
import numpy as np
import matplotlib.pyplot as pt
from proj1_task1 import splitData
from proj1_task2 import closed_... | luispintoc/Task-1 | proj1_task3.2.py | proj1_task3.2.py | py | 1,938 | python | en | code | 0 | github-code | 1 |
71496463393 | import numpy as np
from scipy.optimize import root_scalar
from scipy.optimize import fsolve
class sieplasma(object):
def __init__(self, theta_E_g, eta, zl, c, Dl, Ds, Dls, psi0_plasma_num, theta_0_num, B, C, delta_rs, deltab_10, deltab_20):
self.theta_E_g = theta_E_g
self.eta = eta
self.ps... | everettiantomi/plasmalens | perturbative/validity_class.py | validity_class.py | py | 3,938 | python | en | code | 0 | github-code | 1 |
37615564063 | def solution(number, k):
stack = [number[0]]
for n in number[1:]:
while k > 0 and stack and stack[-1] < n:
stack.pop()
k -= 1
stack.append(n)
if k > 0:
stack = stack[:-k]
return ''.join(stack)
| H2-won/Programmers | src/LEVEL2/ํฐ ์ ๋ง๋ค๊ธฐ.py | ํฐ ์ ๋ง๋ค๊ธฐ.py | py | 257 | python | en | code | 0 | github-code | 1 |
8266025936 | from django.contrib import admin
from django.urls import path, include
from Crud import views
urlpatterns = [
path('admin/', admin.site.urls),
path('company/', include('company.urls')),
path('department/', include('department.urls')),
path('employee/',include('employee.urls')),
path('project/',incl... | zala49/CRUD-Django | Crud/urls.py | urls.py | py | 371 | python | en | code | 1 | github-code | 1 |
11830335032 | import numpy as np
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Image pathname")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
eq = cv2.equalizeHist(image)
cv2.imshow("Histogram Eq... | muhsinali/opencv-book | chapter7/equalize.py | equalize.py | py | 372 | python | en | code | 27 | github-code | 1 |
24877260133 | """pytest configuration."""
import pathlib
from typing import Generator, Optional, Tuple
import pytest
from sqlalchemy.orm import Session
from remote_command_server.database import Base, database_connection
@pytest.fixture()
def db() -> Generator[Session, None, None]:
"""
Fixture for creating a fresh test d... | saltastroops/remote-command-server | conftest.py | conftest.py | py | 1,287 | python | en | code | 0 | github-code | 1 |
72593883553 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2021/3/28 8:39 ไธๅ
# @Author : ๅฎ็ปง่ดค
# @Description :
# @File : utils.py
# @Software: PyCharm
import torch
import gensim
def build_optimizer(args, model):
optimizer = getattr(torch.optim, args.optim)(
model.parameters(),
lr=args.lr,
... | behome/tianchi | code/utils.py | utils.py | py | 837 | python | en | code | 0 | github-code | 1 |
39563984867 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/12/24 13:57
# @Author : Tian Hao
# @Email : hao.tian@intcolon.cn
# @File : tools.py
# @Software: PyCharm
# @Desc : ๆถ้ดๅค็
import calendar
import datetime
from BaiduIndex.tools.DBHelper import DBHelper
def get_time_range_list(start_date, end_date... | CY113/PythonSpider | BaiduIndex/BaiduIndex/tools/tools.py | tools.py | py | 2,033 | python | en | code | 0 | github-code | 1 |
6830251807 | # coding=utf-8
# borrowed from FilamentManager
# master commit hash: bd1a9c0 on 1 Dec 2017
from __future__ import absolute_import
__author__ = "Sven Lohrmann <malnvenshorn@gmail.com> based on work by Gina Hรคuรge <osd@foosel.net>"
__license__ = "GNU Affero General Public License http://www.gnu.org/licenses/agpl.html"
_... | OllisGit/OctoPrint-SpoolManager | octoprint_SpoolManager/Odometer.py | Odometer.py | py | 4,426 | python | en | code | 166 | github-code | 1 |
16149837506 | from pygame import mixer # for audio playing
from tkinter import * # for gui
import os
from mutagen.mp3 import MP3 # extracting metadata from file
import tkinter.messagebox # for messages showing error for example
from tkinter import filedialog
from tkinter import ttk
from ttkthemes import themed_tk as t... | MartinKalchev/Music-Player | main.py | main.py | py | 8,410 | python | en | code | 0 | github-code | 1 |
21222905723 | import random
print("Horse race!")
num_horses = int(input("How many horses will be in the race?"))
# create two empty lists: horse names and horse distances
names = list()
distances = list()
# now populate the lists with the horses and their starting distance
# for example, range(3) will produce (0,1,2), then i wil... | davidmerickson01/davidmerickson01.github.io | python/horse_race.py | horse_race.py | py | 1,304 | python | en | code | 0 | github-code | 1 |
13763775130 | # [ํ๋ก๊ทธ๋๋จธ์ค]-ํ์ด์ฌ-์ฐ์ต๋ฌธ์ -(ํธ๋-ํ์ดํธ-๋ํ)-LV1-(1-๋ดํ์ด-์ ๋ต).py
# https://github.com/irishNoah/Algorithm-Study
# https://school.programmers.co.kr/learn/courses/30/lessons/134240
'''
*** ์ ํ > ์๊ฐ : ?์ด (๊ธฐ๋ณธ 1์ด) / ๋ฉ๋ชจ๋ฆฌ : ?MB (๊ธฐ๋ณธ 128MB)
*** ์กฐ๊ฑด
>>> 2 โค food์ ๊ธธ์ด โค 9
>>> 1 โค food์ ๊ฐ ์์ โค 1,000
>>> food์๋ ์นผ๋ก๋ฆฌ๊ฐ ์ ์ ์์๋๋ก ์์์ ์์ด ๋ด๊ฒจ ์์ต๋๋ค.
>>> foo... | irishNoah/Algorithm-Study | ์๊ณ ๋ฆฌ์ฆ/ํ์ด์ฌ(Python)/888-๊ธฐํ&์ฐ์ต/009-[ํ๋ก๊ทธ๋๋จธ์ค]-ํ์ด์ฌ-์ฐ์ต๋ฌธ์ -(ํธ๋-ํ์ดํธ-๋ํ)-LV1-(1-๋ดํ์ด-์ ๋ต).py | 009-[ํ๋ก๊ทธ๋๋จธ์ค]-ํ์ด์ฌ-์ฐ์ต๋ฌธ์ -(ํธ๋-ํ์ดํธ-๋ํ)-LV1-(1-๋ดํ์ด-์ ๋ต).py | py | 1,372 | python | ko | code | 4 | github-code | 1 |
43495306963 | import sys
read = sys.stdin.readline
N = int(input())
graph = list(map(int, read().split()))
maxDp = [graph.copy()] + [[0,0,0]]
minDp = [graph.copy()] + [[0,0,0]]
for t in range(1, N):
i = t % 2
graph = list(map(int, read().split()))
maxDp[i][0] = max(maxDp[i-1][:2]) + graph[0]
maxDp[i][1] = max(maxDp[... | lsdtve/algorithm | Python/2096_๋ด๋ ค๊ฐ๊ธฐ.py | 2096_๋ด๋ ค๊ฐ๊ธฐ.py | py | 584 | python | en | code | 0 | github-code | 1 |
31697017903 | from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, validators
class CategoryForm(FlaskForm):
# Minimum in name is only one because some languages such as Japanese can easily have
# one character long words such as ัั
ั
as in picture.
name = StringField(
"Category",
... | CrescentKohana/keiji | application/categories/forms.py | forms.py | py | 566 | python | en | code | 0 | github-code | 1 |
44247027464 | """Ne changer les adresses que dans la fonction prog
Le dossier proteines ne doit contenir que les proteines, et il sera vidรฉ ร la fin
Le dossier photos doit รชtre vide au dรฉbut
"""
import os
def photo(photo_folder_path,protein_folder_path):
photo_list = os.listdir(photo_folder_path)
protname = get_prot... | chadmdt/transverse | version utilisant PyMOL/main.py | main.py | py | 2,567 | python | en | code | 0 | github-code | 1 |
17847458843 | from twisted.trial.unittest import TestCase
from twisted.python.filepath import FilePath
from epsilon.extime import Time
from nevow import loaders, rend
from nevow.testutil import renderPage, renderLivePage
from axiom.store import Store
from axiom.dependency import installOn
from xmantissa.people import Person, Ema... | rcarmo/divmod.org | Quotient/xquotient/test/test_rendering.py | test_rendering.py | py | 6,301 | python | en | code | 10 | github-code | 1 |
535490489 | import requests
from bs4 import BeautifulSoup
import smtplib
import email.message
Req = "https://store.playstation.com/pt-br/product/UP0082-PPSA10664_00-FF16SIEA00000002"
#Substituir o "browserA' pelo seu Browser agent > https://www.whatismybrowser.com/detect/what-is-my-user-agent/
headers = {'User-Agent': ... | Marcos-SL/FFXVI-price-monitor | FFXVImonitor.py | FFXVImonitor.py | py | 1,685 | python | pt | code | 0 | github-code | 1 |
13846619059 | import os
a = Analysis(
['main.py'],
datas=[
('theme', 'theme'),
('i18n.ini', '.'),
('icon-256px.ico', '.'),
('icon-128px.webp', '.'),
],
hiddenimports=[
'PIL._tkinter_finder',
],
hookspath=[
'pyi-hooks',
],
excludes=[
'_asyncio',
... | ljty-0322/realesrgan-gui | realesrgan-gui.spec | realesrgan-gui.spec | spec | 2,140 | python | en | code | null | github-code | 1 |
29690705700 | '''Implement a method to perform basic string compression using
the counts of repeated characters method.'''
def string_compression(input):
if len(input) == 0:
return ""
counter = 1
output = ''
for i in range(1,len(input)):
if input[i] == input[i-1]:
counter += 1
... | varunp66/Algorithms | Chapter1/Question 6.py | Question 6.py | py | 515 | python | en | code | 0 | github-code | 1 |
28443403720 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2021/8/6 ไธๅ10:04
# @Author : PeiP Liu
# @FileName: BertModel.py
# @Software: PyCharm
import torch
import torch.nn as nn
from torch.nn import LayerNorm as BertLayerNorm
import sys
sys.path.append("..")
import torch.nn.functional as F
class BERT_SC(nn.Module):
... | LiuPeiP-CS/BertSeqC4Vul | Bert/BertModel.py | BertModel.py | py | 4,238 | python | en | code | 0 | github-code | 1 |
75059026592 | import triton
import triton.language as tl
def conv2d_forward_config(
BLOCK_SIZE_BATCH_HEIGHT_WIDTH: int,
BLOCK_SIZE_IN_FEAT: int,
BLOCK_SIZE_OUT_FEAT: int,
n_warps: int = 4,
n_stages: int = 2,
) -> triton.Config:
"""
Creates a triton.Config object for conv2d_forward_kernel
given m... | BobMcDear/attorch | attorch/conv_kernels.py | conv_kernels.py | py | 9,935 | python | en | code | 1 | github-code | 1 |
2851195816 | class Solution:
def deckRevealedIncreasing(self, deck: List[int]) -> List[int]:
deck.sort()
deq = collections.deque(range(len(deck)))
loc = []
ans = [0] * len(deck)
while deq:
loc.append(deq.popleft())
if deq:
deq.append(deq.popleft())
... | sundayTen/algorithm | taewan/week 7/950. Reveal Cards In Increasing Order.py | 950. Reveal Cards In Increasing Order.py | py | 424 | python | en | code | 0 | github-code | 1 |
13857053749 | from operator import truediv
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.utils import get_custom_objects
from tensorflow.keras.layers import Conv1D,Conv2D, Conv3D, Flatten, Dense, Reshape, Lambda
from tensorflow.keras.layers import Dropout, Input,dot,Activation,MaxPool1D... | henulx/HDECGCN-Framework | HRACPCNN.py | HRACPCNN.py | py | 20,118 | python | en | code | 0 | github-code | 1 |
26582542421 | import subprocess
import warnings
import sys
import numpy as np
from datetime import datetime
#---------------------------------------------------------------------------------------#
# Dics and Colors
#---------------------------------------------------------------------------------------#
Dic_Keys = {0:'energy'... | TB-IKP/CBSplot | CBSplot/CBS_commands.py | CBS_commands.py | py | 9,902 | python | en | code | 2 | github-code | 1 |
38018655263 | import os
import h5py
import torch
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from collections import Counter
def write(data, gts, outfile):
'''
This function writes the pre-processed image data to a HDF5 file
Args:
data: numpy.array, ima... | buchholzmd/SharkBehaviorClassification | datasets/utils.py | utils.py | py | 5,524 | python | en | code | 3 | github-code | 1 |
18450438562 |
import random
import hangman_words as hw
import hangman_art as art
stages=art.stages
logo=art.logo
print(logo)
chosen_word = random.choice(hw.word_list)
word_length = len(chosen_word)
end_of_game = False
lives = 6
#Create blanks
display = []
for _ in range(word_length):
display += "_"
while not end_of_game:... | sangeethsn/Hangman_game | main.py | main.py | py | 1,142 | python | en | code | 0 | github-code | 1 |
9859893801 | """
Arsh recently found an old rectangular circuit board that he would like to recycle.
The circuit board has R rows and C columns of squares.
Each square of the circuit board has a thickness, measured in millimetres.
The square in the r-th row and c-th column has thickness Vr,c.
A circuit board is good if in each ... | pingrunhuang/KickStart | 2019/roundc/circuit_board.py | circuit_board.py | py | 2,188 | python | en | code | 0 | github-code | 1 |
14760350365 | try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 `importlib_resources`.
import importlib_resources as pkg_resources
import pandas as pd
from worldcereal import resources
def load_refid_lut():
with pkg_resources.open_text(resources, 'CIB_RefIdLUT.csv') as... | WorldCereal/worldcereal-classification | src/worldcereal/classification/weights.py | weights.py | py | 1,057 | python | en | code | 12 | github-code | 1 |
20567576086 | import matplotlib.pyplot as plt
import numpy as np
def loadData(fileName):
"""ๅ ่ฝฝๆฐๆฎ:่งฃๆไปฅtab้ฎๅ้็ๆไปถไธญ็ๆตฎ็นๆฐ
Args:
fileName : ๆฐๆฎ้ๆไปถ
Returns:
dataMat : feature ๅฏนๅบ็ๆฐๆฎ้
labelMat : feature ๅฏนๅบ็ๅ็ฑปๆ ็ญพ๏ผๅณ็ฑปๅซๆ ็ญพ
"""
# ่ทๅๆ ทๆฌ็นๅพ็ๆปๆฐ๏ผไธ็ฎๆๅ็็ฎๆ ๅ้
numFeat = len(open(fileName).readli... | yijunquan-afk/machine-learning | basic-learn/05-regression/code/Regression4.py | Regression4.py | py | 3,509 | python | zh | code | 1 | github-code | 1 |
8742949407 | #!/usr/bin/env env/bin/python
import argparse
import mido
from timeit import default_timer as timer
PROG_NAME = 'rmidi'
PROG_DESCRIP = 'record midi data from given input to given file'
DEFAULT_INPUT = 'KeyLab mkII 61:KeyLab mkII 61 MIDI'
DEFAULT_BPM = 120
SECONDS_PER_MIN = 60
def get_cmd_args():
parser = argpar... | erickak/audiotools | rmidi/src/main.py | main.py | py | 3,066 | python | en | code | 0 | github-code | 1 |
670609188 | import pandas as pd
import argparse
import json
# Creates json file with the number of times each hot topic appears in the annotaed file
parser = argparse.ArgumentParser()
parser.add_argument('-o', '--outfile')
parser.add_argument('-i', '--coded_file', required=True)
args = parser.parse_args()
# "Hot Topics"
result =... | BrendaNamuh/COMP598-UniversityHotTopics | src/analyze.py | analyze.py | py | 988 | python | en | code | 0 | github-code | 1 |
18461666541 | from flask import Flask, jsonify, request
from calculation import Calc
app = Flask(__name__)
@app.route('/get_time', methods=['POST'])
def give_res():
do = Calc()
answer_dict = {}
n = 1 # ะฟะตัะตะผะตะฝะฝะฐั ะดะปั ะฝัะผะตัะฐัะธะธ ะพัะฒะตัะพะฒ ะฒ ัะปะพะฒะฐัะต answer_dict
for i, test in enumerate(request.json): ... | Dortov/Web-API | app.py | app.py | py | 921 | python | ru | code | 0 | github-code | 1 |
7978190478 | import random
class Noise:
#Switches 0 to 1 an 1 to 0 in a string
def swap_bit(bit: str) -> str:
if bit == '1':
return '0'
else:
return '1'
#Simple noise. Tests the probability for each bit
@staticmethod
def simple_noise(data, switch_probability):
da... | DocentSzachista/NIDUC-2021 | Noise.py | Noise.py | py | 1,084 | python | en | code | 0 | github-code | 1 |
35001994938 | import scipy.stats as sc
class Voting_Regressor:
"""
Voting Regressor:
Makes use of the bagging ensemble method (different algorithms on the same data) to predict continuous values
It does this by training the algorithms on the data individually,
and aggregating their predictions int... | King-Ogunnowo/written_algorithms | voting_regressor.py | voting_regressor.py | py | 1,313 | python | en | code | 0 | github-code | 1 |
16988033518 | from django.http import JsonResponse
from jam.spotify_api import url_argument_parse
import pitchfork
import re
import urllib
try:
import urllib.request as urllib2
except ImportError:
import urllib2
#######################
# PITCHFORK API WRAPPER
#######################
def search(request, artist, album):
... | cartev/Jam | jam/pitchfork_api.py | pitchfork_api.py | py | 1,079 | python | en | code | 1 | github-code | 1 |
71345725154 | from .models import BookModel, AuthorModel
from django import forms
import re
from django.utils.translation import gettext_lazy as _
from django.core.exceptions import ValidationError
import datetime
class BookCreateForm(forms.Form):
authors = forms.CharField(max_length=100, required=True, widget=forms.TextInput(... | cyber-tatarin/booka | books/forms.py | forms.py | py | 3,799 | python | ru | code | 0 | github-code | 1 |
22674612731 | # -*- coding: utf-8 -*-
import sys
from nltk.tag import StanfordNERTagger
from nltk.tokenize import word_tokenize
from sklearn.metrics import precision_recall_fscore_support as score
def computeStatistics(expected_tags, generated_tags):
unique_tags = list()
floatFormat = "{:.2f}"
for tag in generated_tags:
i... | YashashreeKolhe/Natural-Language-Processing | 111508041_Assign5/111508041_Assign5-Code.py | 111508041_Assign5-Code.py | py | 2,372 | python | en | code | 0 | github-code | 1 |
73915914915 | #!/usr/bin/python3
# a simple script, meant to get the 1st initial shell on openAdmin machine from HTB
#ย Exploit Title: OpenNetAdmin 18.1.1 - Remote Code Execution
#ย Origin exploit @mattpascoe
#ย python version @m3dsec
#ย Software Link: https://github.com/opennetadmin/ona
# Version: v18.1.1
import requests
import json
i... | m3dsec/openNetAdmin18.1.1-SemiShell | openNetAdmin18.1.1_SemiShell.py | openNetAdmin18.1.1_SemiShell.py | py | 948 | python | en | code | 2 | github-code | 1 |
390364811 | class Solution:
# @param {int[]} A an integer array sorted in ascending order
# @param {int} target an integer
# @return {int} an integer
def lastPosition(self, A, target):
if not A or target is None:
return -1
start = 0
end = len(A) - 1
while start + 1 < en... | wusixuan0/practice | binary.py | binary.py | py | 1,759 | python | en | code | 0 | github-code | 1 |
38690808253 | '''Accept a positive integer n as input and find the print the smallest integer that is divisible by all the integers in the range [1,n], endpoints inclusive.'''
n = int(input())
num = n
found = False
while not found:
found = True
for i in range(1, n+1):
if num % i != 0:
found = ... | AashikBobade/General | POuiz1.py | POuiz1.py | py | 385 | python | en | code | 0 | github-code | 1 |
27894651886 | import streamlit as st
from PIL import Image
import random
import pandas as pd
def app():
image = Image.open('./picture/khtn.PNG')
st.image(image, width=500)
st.markdown("------")
st.markdown("""
<style>
.big-font {
font-size:80px !important;
}
</style>
""", unsafe_allow_html=True)
... | johnluk0092/leesson1 | webs/lesson18.py | lesson18.py | py | 5,335 | python | en | code | 0 | github-code | 1 |
73981839393 | from django.urls import path
from .views import (case_detail, add_case, update_case,
delete_case, add_task,upload_files,
new_case, pending_list, completed_list, CaseList, CaseCreateView, CategoryListView,
delete_cat, cat_update, cat_add, add_argument, cat_de... | succeed98/Lawyer | cases/urls.py | urls.py | py | 11,114 | python | en | code | 0 | github-code | 1 |
4020893724 | from Modulos.Modulo_System import(
Command_Run
)
#from Modulos.Modulo_Text import(
# Text_Read
#)
from Modulos.Modulo_Files import(
Files_List
)
from Modulos import Modulo_Util_Debian as Util_Debian
from Modulos.Modulo_Language import get_text as Lang
from Interface import Modulo_Util_Qt as Util_Qt
from pa... | CocoMarck/Linux_PrepararSistema | Script_Preparar-OS_Qt.py | Script_Preparar-OS_Qt.py | py | 21,971 | python | en | code | 0 | github-code | 1 |
2378264148 | import cv2
from matplotlib import pyplot as plt
import numpy as np
input_image = "Prasanna.png"
def display_save(display_name, file_name, img):
cv2.imshow(display_name, img)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imwrite(file_name, img)
def grayscale():
img = cv2.imread(input_image, cv2.IMREA... | ppartha2018/ComputerVision---Projects | BasicTransformations/Transformations.py | Transformations.py | py | 3,122 | python | en | code | 1 | github-code | 1 |
14366329848 | '''
@autor Simone Lima
'''
import pandas as pd
from .files import AppFilesPath
from domain.app.models import VersionModel, ReleaseNoteModel, ReleaseNoteType
from domain.utils.check_value_utils import CheckValuesUtils
from domain.utils.file_utils import CSVColumnsName, CSV_EXTENSION
from django.db import transaction
cl... | slimaElixir/restaurante | domain/app/services/versions.py | versions.py | py | 3,239 | python | en | code | 0 | github-code | 1 |
12039630568 | # -*- coding: utf-8 -*-
"""
Created on 02/17/2019
NSC - AD440 CLOUD PRACTICIUM
@author: Dao Nguyen
Changed ownership on 03/01/2019
@author: Michael Leon
"""
import urllib.request
import re
import os
import json
import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import selenium.... | ActoKids/web-crawler | scripts/browserCrawler/SSScraper.py | SSScraper.py | py | 6,625 | python | en | code | 1 | github-code | 1 |
27177815209 | """
datasets.py
"""
import numpy as np
import pandas as pd
from collections import namedtuple
from gensim.corpora import Dictionary
# Load two dictionary
dct = Dictionary.load_from_text("vocab.txt")
def doc2bow(morphemes):
""" Converrt strings with non filtered dictionary to vector
:param morphemes: morphemes... | pytry3g/pytorch-example | nlp/classification/ldcc/datasets.py | datasets.py | py | 1,190 | python | en | code | 0 | github-code | 1 |
74541216032 | import os
import tornado
import importlib
from ..base.handlers import default_handlers as default_base_handlers
from ..services.kernels.pool import ManagedKernelPool
from .cell.parser import APICellParser
from .swagger.handlers import SwaggerSpecHandler
from .handlers import NotebookAPIHandler, parameterize_path, Noteb... | jupyter-server/kernel_gateway | kernel_gateway/notebook_http/__init__.py | __init__.py | py | 6,877 | python | en | code | 459 | github-code | 1 |
14932230430 | """Unit tests for metrics module."""
from ldp.utils import linalg
import torch
import torch.linalg
def test_effective_rank():
"""Test effective_rank matches intuition."""
matrix = torch.diag(torch.tensor([100, 100, 1e-6]))
actual = linalg.effective_rank(matrix)
assert torch.allclose(torch.tensor(actu... | evandez/low-dimensional-probing | tests/utils/linalg_test.py | linalg_test.py | py | 1,459 | python | en | code | 1 | github-code | 1 |
28391976299 | PATH = 'ex1.txt'
with open(PATH) as f:
lines = f.readlines()
count = 0
for i, line in enumerate(lines[1:]):
previous = int(lines[i])
if (int(line) > previous):
count += 1
print(count) | batanete/advent-of-code-2021 | day1/ex1/ex1.py | ex1.py | py | 191 | python | en | code | 0 | github-code | 1 |
6690016722 | x = 5
y = 6
print("I eat {} vegetable and {} fruit".format(x, y))
string = "There are 9 planet in solar system "
string_1 = string.replace(str(9), str(8))
print(string_1)
| Bittu30/python_dhaval | string.py | string.py | py | 175 | python | en | code | 0 | github-code | 1 |
38418811597 | #!/usr/bin/env python
# coding: utf-8
# Data Analysis of Unemployment in India
# In[1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
# In[2]:
# importing the given dataset
df = pd.read_csv("C:/Users/ASUS/Downloads/Unemployment in India.c... | shrutiiiyadav/UNEMPLOYMENT-IN-INDIA-ANALYSIS-TASK2 | Unemployment in India Analysis.py | Unemployment in India Analysis.py | py | 2,761 | python | en | code | 0 | github-code | 1 |
43073374913 | from PyQt4 import QtCore,QtGui
import sys
class StdOutRedirector:
def __init__(self,edit):
self.buff=''
self.edit = edit
self.__console__=sys.stdout
def write(self, output_stream):
self.buff+=output_stream
self.edit.setText(self.buff)
class MainFrame(QtGui.QDialog):
... | UpSea/midProjects | BasicOperations/03_system/redirectStandardout_03.py | redirectStandardout_03.py | py | 1,239 | python | en | code | 1 | github-code | 1 |
21701900747 | from decimal import Decimal
from django.contrib.gis.db.backends.base import BaseSpatialOperations
from django.contrib.gis.db.backends.util import SpatialFunction
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Distance
from django.utils import six
from sql_server.pyodbc.... | condense/django-pyodbc-gis | django_pyodbc_gis/operations.py | operations.py | py | 11,306 | python | en | code | 2 | github-code | 1 |
70050926753 | import pandas as pd
import os.path
class Car:
def __init__(self, ID, Model, Year_of_Production, Kilometers_traveled, Price):
self.ID = ID
self.Model = Model
self.Year_of_Production = Year_of_Production
self.Kilometers_traveled = Kilometers_traveled
self.Price = Price
... | Malek-Aldebsi/Data_Storage_and_Handling_System | Data_Storage_and_Handling_System.py | Data_Storage_and_Handling_System.py | py | 4,085 | python | en | code | 0 | github-code | 1 |
71131684833 | # ์๊ฐ ์ด๊ณผ
def solution1(numbers):
answer = []
count = 0
lenNumbers = len(numbers)
for item in numbers:
count += 1
if item == max(numbers):
answer.append(-1)
continue
if count == lenNumbers:
answer.append(-1)
else:
flag = Fals... | cookie-god/algorithm | programmers/level2/๋ค์ ์๋ ํฐ ์ ์ฐพ๊ธฐ.py | ๋ค์ ์๋ ํฐ ์ ์ฐพ๊ธฐ.py | py | 1,291 | python | ko | code | 0 | github-code | 1 |
70645888353 | import os
import csv
from PIL import Image
import torch
from torch.utils.data import Dataset
from typing import Any, Callable, Optional, Tuple
class Emotions(Dataset):
def __init__(self, cvs_file, root_dir, transform=None):
self.root_dir = root_dir
self.transform=transform
data_file=os.path... | jump-orange/coms453-project | data.py | data.py | py | 1,167 | python | en | code | 0 | github-code | 1 |
42838150553 | from google_trans_new import google_translator
import pandas as pd
def my_autocorrect():
translator = google_translator()
df = pd.read_csv("../../Data/menustat_2021_dataset.csv")
df["food_category"] = df["food_category"].apply(lambda row: translator.translate(row, lang_tgt="pt"))
if __name__ == "__main_... | arduini-eduarda/Pos-MachineLearning | Src/DataProcessing/Translation.py | Translation.py | py | 346 | python | en | code | 0 | github-code | 1 |
2929396805 | from PyQt5 import QtCore, QtGui, QtWidgets
import os
import ctypes
from PyQt5.QtCore import QCoreApplication
import threading
from time import sleep
from PyQt5.QtGui import QCursor, QWindow
from PyQt5.QtCore import Qt, QPoint
from PyQt5.QtWidgets import (QMessageBox,QApplication, QWidget, QToolTip, QPushButton,... | ipys/jopmanage | SystemDatabase.py | SystemDatabase.py | py | 5,703 | python | en | code | 0 | github-code | 1 |
24666495868 | # coding:utf-8
import serial
import time
import atexit
import signal
class Laser(object):
def __init__(self, com):
self.rate = 230400
self.com = com
self.port = serial.Serial(port=self.com, baudrate=self.rate, timeout=2)
self.stop_cmd = b'e'
self.start_cmd = b'b'
... | reece15/hls_flcd2_python | Laser.py | Laser.py | py | 3,261 | python | en | code | 10 | github-code | 1 |
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