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
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7824817343 | # emacs: -*- mode: python-mode; py-indent-offset: 2; tab-width: 2; indent-tabs-mode: nil -*-
# ex: set sts=2 ts=2 sw=2 et:
""" A Neurosynth Dataset """
import logging
import re
import random
import os
import numpy as np
import pandas as pd
from scipy import sparse
import mappable
from neurosynth.base import mask, i... | jdnc/ml-project | neurosynth/neurosynth/base/dataset.py | dataset.py | py | 25,922 | python | en | code | 1 | github-code | 1 |
41202001092 | class Animal:
def __init__(self, name, number_of_legs):
self.name = name
self.number_of_legs = number_of_legs
def sort_animals(lst):
if not lst:
return []
sorted_animals = sorted(lst, key=lambda animal: (
animal.number_of_legs, animal.name))
return sorted_animals
an... | Kamente/kata | sort_animals.py | sort_animals.py | py | 601 | python | en | code | 0 | github-code | 1 |
6423410824 | from PyQt5.QtWidgets import QMainWindow, QLabel
from PyQt5.QtCore import QPoint, Qt
from fuzzyclock import FuzzyClock
class SimpleFuzzyClockWindow(QMainWindow):
def __init__(self, fuzzy_clock=None, size=(190, 35)):
super().__init__()
if fuzzy_clock is None:
self.fuzzy_clock = FuzzyC... | mkardel/SimpleFuzzyClock | fuzzywindow.py | fuzzywindow.py | py | 1,437 | python | en | code | 0 | github-code | 1 |
74495158433 | from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from data.config import admins
from keyboards.default.menu_keyboards import menu
from keyboards.inline.callback_datas import report_data
from loader import dp, db, bot
from states.me... | arsavit/av_by_B4L | handlers/users/reports.py | reports.py | py | 2,583 | python | ru | code | 0 | github-code | 1 |
70734487714 | import sys
import pygame
from pygame.locals import KMOD_CTRL
from pygame.locals import KMOD_SHIFT
from pygame.locals import K_ESCAPE
from pygame.locals import K_F1
from pygame.locals import K_SLASH
from pygame.locals import K_TAB
from pygame.locals import K_h
from pygame.locals import K_i
from pygame.locals import K_... | bounverif/starter-carla-0913 | client/app/input_control.py | input_control.py | py | 4,044 | python | en | code | 1 | github-code | 1 |
7688472178 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_transformers.modeling_bert import BertPooler, BertSelfAttention, BertConfig
from layers.attention import Attention, NoQueryAttention
from layers.squeeze_embedding import SqueezeEmbedding
class GNN(nn.Module):
def _... | wwz58/bert-gcn | models/bert_albert_gcn.py | bert_albert_gcn.py | py | 8,282 | python | en | code | 7 | github-code | 1 |
70205747554 | '''
문제
정수 4를 1, 2, 3의 합으로 나타내는 방법은 총 4가지가 있다. 합을 나타낼 때는 수를 1개 이상 사용해야 한다. 합을 이루고 있는 수의 순서만 다른 것은 같은 것으로 친다.
1+1+1+1
2+1+1 (1+1+2, 1+2+1)
2+2
1+3 (3+1)
정수 n이 주어졌을 때, n을 1, 2, 3의 합으로 나타내는 방법의 수를 구하는 프로그램을 작성하시오.
입력
첫째 줄에 테스트 케이스의 개수 T가 주어진다. 각 테스트 케이스는 한 줄로 이루어져 있고, 정수 n이 주어진다. n은 양수이며 10,000보다 작거나 같다.
출력
각 테스트 케이스마다,... | hanseul-jeong/Coding_test | Backjoon/단계별로풀어보기/15989.py | 15989.py | py | 978 | python | ko | code | 0 | github-code | 1 |
20175750585 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
from PySide import QtGui, QtCore
import controller
from ventana_nuevacategoria import *
class Form_2(QtGui.QWidget):
def __init__(self, parent=None):
super(Form_2, self).__init__()
self.ventana = Ui_ventana_nuevacategoria()
self.ventana.... | mojedar/Proyecto-final | ProyectoFinalTaller/view_ventana_nuevacategoria.py | view_ventana_nuevacategoria.py | py | 1,244 | python | es | code | 0 | github-code | 1 |
37412146341 | from django.shortcuts import render
# Create your views here.
# start game fonk
def start_game(request):
if request.method == 'POST':
name = request.POST.get('name')
image = request.FILES.get('image')
puzzle = generate_puzzle(image)
request.session['name'] = name
request.se... | melihamutlu/proje-1-deneme-repo- | myproject/myapp/views.py | views.py | py | 6,281 | python | en | code | 1 | github-code | 1 |
22697300099 | import altair as alt
import math
import pandas as pd
import streamlit as st
from PIL import Image
"""
# Which German Business Sector are you?
Take this personality quiz to find out which part of the Volkswirtschaft is your spirit animal.
This uses clustering from the ifo Business Climate Survey taken by thousands of... | merveogretmek/ifoHack-2023 | ifoHack2023-ForecastFanatics/website/Quiz.py | Quiz.py | py | 7,372 | python | en | code | 0 | github-code | 1 |
8619244280 | # https://www.youtube.com/watch?v=8Qk2M1Jy-Mg&t=1641s
from tkinter import *
from database import *
def add():
line = id.get()+'-'+name.get()+'-'+year.get()
save(line)
show()
def show():
sv = read()
listbox.delete(0,END)
for i in sv:
listbox.insert(END,i)
def sort():
sv=... | vicuon/quanlihocsinh | main.py | main.py | py | 1,548 | python | en | code | 0 | github-code | 1 |
6131591636 | def fibonacci(n,zero=0,one=0):
if vis[n]:
return dp[n]
vis[n] = 1
if n == 0:
dp[n] = [1,0]
return [1,0]
if n == 1:
dp[n] = [0,1]
return [0,1]
first = fibonacci(n-1)
second = fibonacci(n-2)
dp[n][0] = first[0] + second[0]
dp[n][1] = first[1] ... | 2020-ASW/kwoneyng-Park | 연습/1003_피보나치 함수.py | 1003_피보나치 함수.py | py | 512 | python | en | code | 0 | github-code | 1 |
31900586339 | # -*- coding: utf-8 -*-
"""
@File : balancedString.py
@Author : wenhao
@Time : 2023/2/13 9:26
@LC : 1234
"""
from math import inf
from collections import Counter
class Solution:
'''
思路：
同向双指针：
'''
def balancedString(self, s: str) -> int:
cnt, m = Counter(s), len(s)
if ... | callmewenhao/leetcode | 基础算法精讲/双指针/balancedString.py | balancedString.py | py | 662 | python | en | code | 0 | github-code | 1 |
32343761147 | #!/usr/bin/env python3
"""
trivial strategy
"""
import archon.config as config
import traceback
from datetime import datetime
#import archon.broker as broker
from archon.brokersrv.brokerservice import BrokerService
import archon.exchange.exchanges as exc
import archon.exchange.bitmex.bitmex as mex
import archon.exc... | economicnetwork/marketmaker | simple_maker.py | simple_maker.py | py | 7,904 | python | en | code | 7 | github-code | 1 |
70431741475 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 5 21:46:21 2022
@author: Cumali Atalan
"""
#%%
#gerekli kütüphaneler import edilir.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from tensorflow import keras
from keras.mo... | cumaliatalan/Yapay-Sinir-Aglari | CNN/CNN.py | CNN.py | py | 4,564 | python | tr | code | 0 | github-code | 1 |
31071687221 | import copy
import sys
sys.modules['_decimal'] = None
import decimal
from decimal import *
from decimal import Decimal
getcontext().Emin = -10 ** 10000
getcontext().Emax = 10 ** 10000
getcontext().traps[Overflow] = 0
getcontext().traps[Underflow] = 0
getcontext().traps[DivisionByZero] = 0
getcontext().tr... | junem0hack14/INDONESIAN-PROGRAMMERS | Graph Operations/graph_operations.py | graph_operations.py | py | 19,720 | python | en | code | 0 | github-code | 1 |
13988952340 | # -*- coding: UTF-8 -*-
import json
from xf import text_tovoice
from xf import voice_totext
from xf import text_tovoice_totext
import time
def test1():
print("---start---")
start = time.time()
voiceResultStr = text_tovoice.init('百度传来了喜讯',
"E:/jianguocloud/learn/Python... | lanceNice/base_utils | xf/test.py | test.py | py | 1,199 | python | en | code | 1 | github-code | 1 |
43422935125 | def part1():
L1 = [1,2,3,4,5] ; L2 = [2,3,4,5,1,0]
print(L1<L2)
print(L1 != L2)
L3 = ['1','2','3','4','5']
#print( L1>L3) results in error. Cant compare string and int
print(L1 and L2)
print(not L3)
print(not[])
L1 = [1,2];L2 = [1,2]; L3 = L1
print(L1 is L2)
print(L1 is L3)
... | dipnrip/Python | Python/Labs/299Lab5/lab5Functions.py | lab5Functions.py | py | 1,356 | python | en | code | 0 | github-code | 1 |
7461435996 | """
Makes it possible to run a game through terminal.
"""
import sys
import threading
from bot.step_score_bot import StepScoreBot
from game_client.game_loop import game_loop
from game_client.server_interaction import GameSession, WrongPayloadFormatError
HELP_TEXT = (
"Usage:\n"
"python terminal_interface.py ... | VaSeWS/Vangarning-Team | terminal_interface.py | terminal_interface.py | py | 2,310 | python | en | code | 0 | github-code | 1 |
42999491369 | '''
Program 49 | Group Anagrams
https://leetcode.com/problems/group-anagrams/
'''
class Solution:
def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
ans = collections.defaultdict(list)
for s in strs:
key = [0] * 26
for c in s:
key[ord(c) - ord('a'... | davijit868/Programming-Solutions | Data Structures/Arrays/Group Anagrams.py | Group Anagrams.py | py | 402 | python | en | code | 2 | github-code | 1 |
14617850309 | import random
from math import sqrt
from scipy.interpolate import lagrange
from main_folder.smpc_addition.network_nodes.RandPoly import RandPoly
class SmpcAdditionNode:
def __init__(self) -> None:
pass
def generate_functions(self, record):
all_functions = []
for feature in... | mswartz2/Secure-Multiparty-Computation-Main-Code | main_folder/smpc_addition/network_nodes/SmpcAdditionNode.py | SmpcAdditionNode.py | py | 2,734 | python | en | code | 0 | github-code | 1 |
28718464379 | # -*- coding: utf-8 -*-
"""Model Examples."""
import numpy as np
import sympy
from sympy import symbols
from causing.model import Model
from causing.simulate import SimulationParams, simulate
data_path = __file__.split("causing")[0]
def example():
"""model example"""
X1, X2, Y1, Y2, Y3 = symbols(["X1", "X... | ZJfang-code/Causing | causing/examples/models.py | models.py | py | 6,543 | python | en | code | null | github-code | 1 |
10178508253 | class Process:
currentPID = 1
def __init__(self, codefile, dispatcher, processor):
self.id = self.currentPID
self.dispatcher = dispatcher
self.processor = processor
Process.currentPID += 1
self.currentLine = 0
self.code = self.fetch_program_code(codefile)
... | GeoffreyKarnbach/JeffOS_ | process.py | process.py | py | 3,212 | python | en | code | 0 | github-code | 1 |
6033659494 | import typing as t
"""
Tags: Adjacency matrix
The algorithm finds all shortest path pairs. The graph needs to be represented
as an adjacency matrix.
Example graph definition:
A B C D
A 0 8 INF 1
B INF 0 1 INF
C 4 INF 0 INF
D INF 2 9 0
The diagonal ^ is 0s because the node's ... | EvgeniiTitov/coding-practice | coding_practice/data_structures/graphs/apsp/floyd_warshall_implementstion_1.py | floyd_warshall_implementstion_1.py | py | 2,013 | python | en | code | 1 | github-code | 1 |
13810826097 | from selenium import webdriver
from selenium.webdriver.common.alert import Alert
from random import choice, randint
import win32com.client as comclt
import win32gui
import win32con
import time
def handle_upload_file_dialog(file_path):
sleep = 1
windowsShell = comclt.Dispatch("WScript.Shell")
time.sleep(sle... | thespacemanatee/SingHealth-App | __tests__/python test/Staff/CreateThenDeleteNewTenant.py | CreateThenDeleteNewTenant.py | py | 2,074 | python | en | code | 1 | github-code | 1 |
17775025297 | import sys
sys.path.insert(0, './src')
# import os
# os.getcwd()
# os.chdir('../')
from importlib import reload
import numpy as np
np.set_printoptions(suppress=True)
import pickle
from envs import merge
reload(merge)
from envs.merge import EnvMerge
import os
import time
import json
import matplotlib.pypl... | saArbabi/DriverActionEstimators | src/data/data_collection.py | data_collection.py | py | 7,095 | python | en | code | 4 | github-code | 1 |
4876241093 | # -*- coding: utf-8 -*-
# © 2015 Eficent - Jordi Ballester Alomar
# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl.html).
from openerp.osv import fields, orm
from openerp.tools.translate import _
class LocationAnalyticCreate(orm.TransientModel):
_name = 'location.analytic.create'
_description =... | one2pret/eficent-odoo-addons | analytic_location_manager/wizard/analytic_location_manager.py | analytic_location_manager.py | py | 4,916 | python | en | code | null | github-code | 1 |
39285481089 | import cv2 as cv
import sys
#loads the using weights and correspding configuration rule
def load_model(model_weights="",model_config=""):
if model_weights == "" and model_config == "":
print("Model config and weights not found!");
sys.exit(0);
net = cv.dnn.readNet(model_weights,model_config);
return net;
de... | PrateekMunjal/Face-detection-webcam-opencv | model.py | model.py | py | 495 | python | en | code | 1 | github-code | 1 |
70271092515 | from __future__ import absolute_import
from pymongo import MongoClient
from pymongo.database import Database
from pymongo.collection import Collection
import six
class_to_class_name = {
str: 'unicode',
six.text_type: 'unicode',
bool: 'bool',
list: 'list',
tuple: 'list',
int: 'in... | brainvisa/axon | python/fedji/mongodb_backend.py | mongodb_backend.py | py | 2,113 | python | en | code | 0 | github-code | 1 |
72999885153 | from bundlewrap.exceptions import BundleError
munin_config = node.metadata.get('munin', {})
symlinks = {}
actions = {}
files = {}
pkg_apt = {}
svc_systemd = {}
trigger_reload = []
if munin_config.get('type', 'c') == 'c':
node_type = 'munin-node-c'
pkg_apt['munin-node-c'] = {
'installed': True,
}... | sHorst/bw.bundle.munin_node | items.py | items.py | py | 3,972 | python | en | code | 0 | github-code | 1 |
71178128035 | import numpy as np
from tensorflow.keras.layers import Input, Flatten, Dense, Reshape, Dropout, Concatenate, Lambda, ReLU, Activation
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.layers import LeakyReLU
from tensorflow.keras.models import Model
from tensorflow.keras import backend as K
... | alexmarshallbristol/Enhanced_Generative_Networks | VAE.py | VAE.py | py | 18,554 | python | en | code | 0 | github-code | 1 |
8767288609 |
import PySimpleGUI as sg
'''
sg.theme('DarkAmber') # Add a touch of color
# All the stuff inside your window.
layout = [ [sg.Text('Some text on Row 1')],
[sg.Text('Enter something on Row 2'), sg.InputText()],
[sg.Button('Ok'), sg.Button('Cancel')] ]
# Create the Window
window = sg.Window('W... | Xianzheng/smallProgram | selenium/simpleGUI.py | simpleGUI.py | py | 5,513 | python | en | code | 0 | github-code | 1 |
29932380680 | import json
import re
from collections import Counter, defaultdict
from pathlib import Path
from typing import Union
import arabic_reshaper
import demoji
import seaborn as sns
from hazm import Normalizer, sent_tokenize, word_tokenize
from loguru import logger
from src.data import DATA_DIR
from wordcloud import WordClo... | mohammad-chegini/telegram_statistics | src/chat_statistics/stats.py | stats.py | py | 4,142 | python | en | code | 0 | github-code | 1 |
31469922894 | class Graph:
def __init__(self, vertices):
super(Graph, self).__init__()
self.V = vertices
self.graph = [[0 for _ in range(vertices)] for _ in range(vertices)]
def min_dist(self,dist,sptSet):
mn = float('inf')
mi = -1
for v in range(self.V):
if dist[v]<mn and sptSet[v]==False:
mn = dist[v]
mi =... | Ravi-Maurya/Competitive_Programming | Code_Chef/Feb20/CC_FebAll5.py | CC_FebAll5.py | py | 1,253 | python | en | code | 1 | github-code | 1 |
8513594705 | """ Utilities module.
"""
import datetime as dt
import pkg_resources
import barbante
def local_import(name):
""" Returns the module *name*.
Attributes:
name - the name of the module to be imported.
Exception:
TypeError - if *name* is not a string.
ImportErr... | hypermindr/barbante | barbante/utils/__init__.py | __init__.py | py | 3,449 | python | en | code | 10 | github-code | 1 |
16401486914 | import requests
from twilio.rest import Client
from decouple import config
STOCK_NAME = "TSLA"
COMPANY_NAME = "Tesla Inc"
FUNCTION = "TIME_SERIES_DAILY"
MY_API = config("MY_API", default="")
NEW_API = config("NEW_API", default="")
TWILIO_SID = config("TWILIO_SID", default="")
TWILIO_TOKEN = config("TWILIO_TOKEN", def... | isik-dev/Stock-Price-Monitor | main.py | main.py | py | 2,001 | python | en | code | 0 | github-code | 1 |
72402872993 | import os
import random
import torch
import torchvision.transforms as T
from PIL import Image
from torch.utils import data
def rreplace(s, old, new, occurrence):
li = s.rsplit(old, occurrence)
return new.join(li)
class ImageAttr(data.Dataset):
"""Dataset class for the ImageAttr dataset."""
def __in... | hologerry/Attr2Font | dataloader.py | dataloader.py | py | 9,937 | python | en | code | 219 | github-code | 1 |
28840383163 | # importing other files
import color
import TestTubeGame
# This is the test tube class for the minigame.
# Things it should be capable of:
# - Drawing itself (It needs to know what colours it has)
class TestTube:
# This function initializes the variables of the test tube
def __init__(self, stack):
sel... | MiracleSheep/Python_Pygame_TestTubeGame | tube.py | tube.py | py | 3,103 | python | en | code | 0 | github-code | 1 |
30315928956 | """
For example, two is written as II in Roman numeral, just two one's added together. Twelve is written as, XII, which is simply X + II. The number twenty seven is written as XXVII, which is XX + V + II.
Roman numerals are usually written largest to smallest from left to right. However, the numeral for four is not II... | NeerajM999/recap-python | LearnPython/int_to_roman.py | int_to_roman.py | py | 2,558 | python | en | code | 0 | github-code | 1 |
41408824426 |
from pykeyboard import PyKeyboard
import paho.mqtt.client as mqtt
import re
host = 'www.bananalife.top'
port = 1883
'''
ctrl+alt+p play/suspend
ctrl+alt+H left
ctrl+alt+L right
ctrl+alt+J down
ctrl+alt+K up
'''
k = PyKeyboard()
netcase = {
'play': [k.control_key, k.alt_key, 'p'],
'left': [k.contro... | zengfu/pytool | keymouse.pyw | keymouse.pyw | pyw | 1,257 | python | en | code | 0 | github-code | 1 |
11817995914 | from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.models import GeoJSONDataSource, ColorBar
from bokeh.models import DatetimeTickFormatter, PrintfTickFormatter, NumeralTickFormatter, NumeralTickFormatter
from bokeh.models import HoverTool, WheelZoomTool
from bokeh.models import LogColorMapper, Li... | annakuchko/map-app | app/plotting.py | plotting.py | py | 2,128 | python | en | code | 0 | github-code | 1 |
44649642284 |
from Queue import Queue
class Binary_Search_Tree:
def __init__(self, data):
self.data = data
self.left_child = None
self.right_child = None
def insert(root_node, value):
if root_node.data is None:
root_node.data = value
else:
if value <= root_node.data:
... | TarakaKoda/Python-Data-Structures-and-Algorithms | 19 - Binary Search Tree/Binary Search Tree Practice/05 Deletion in a Binary Search Tree.py | 05 Deletion in a Binary Search Tree.py | py | 3,799 | python | en | code | 0 | github-code | 1 |
27287177163 | """
Imagelab is the core class in CleanVision for finding all types of issues in an image dataset.
The methods in this module should suffice for most use-cases,
but advanced users can get extra flexibility via the code in other CleanVision modules.
"""
from __future__ import annotations
import random
from typing impor... | cleanlab/cleanvision | src/cleanvision/imagelab.py | imagelab.py | py | 27,188 | python | en | code | 725 | github-code | 1 |
15432766798 | import json
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, MutableMapping, Union
import yaml
STRUCTURE = {
"Dataset": [
"dataset_name",
"dataset_config",
"dataset_revision",
"labelcolumn",
"textcolumn",
],
"Training": [
... | BramVanroy/transformers-finetuner | transformers_finetuner/generate_readme.py | generate_readme.py | py | 4,972 | python | en | code | 0 | github-code | 1 |
11313645218 | from django.shortcuts import render
from django.http import HttpResponse
from property.choice import price_choices, bedroom_choices, county_choices
from property.models import Property
from accounts.models import Owner
def index(request):
propertys = Property.objects.order_by('-list_date')
context = {
... | paulndalila/ComfortHomes | pages/views.py | views.py | py | 867 | python | en | code | 1 | github-code | 1 |
641796424 | import numpy as np
def k_means_init(input,num_clusters):
centers=[]
for i in range(num_clusters):
i=np.random.random(np.size(input[0]))
centers.append(i)
return centers
def classify(input,centers,num_clusters):
clusters=[[] for i in range(num_clusters)]
num_list=[i for i in range... | sx-zhang/HOZ | graph_generation/my_cluster.py | my_cluster.py | py | 1,774 | python | en | code | 38 | github-code | 1 |
38569483791 |
def add(numbers, x, y, z):
numbers[z] = numbers[x] + numbers[y]
def multiply(numbers, x, y, z):
numbers[z] = numbers[x] * numbers[y]
def opcode(sequence):
inst_point = 0
while True:
op = sequence[inst_point]
if op == 99:
break
pos1 = sequence[inst_point + 1]
... | linusmoreau/AoC | 2019/day2.py | day2.py | py | 977 | python | en | code | 0 | github-code | 1 |
22905237190 | ## set up logging
import logging, os
logging.basicConfig(level=os.environ.get("LOGLEVEL","INFO"))
log = logging.getLogger("glam_command_line")
import argparse, glob, json, subprocess, sys
import glam_data_processing.legacy as glam
from datetime import datetime
# create temporary directory for shenanigans
TEMP_DIR = o... | fdfoneill/glam_data_processing | glam_data_processing/generate_new_stats.py | generate_new_stats.py | py | 7,853 | python | en | code | 1 | github-code | 1 |
31868037338 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv (r'Seed Yield.csv')
print (df)
sns.set_theme(style="whitegrid")
# Draw a nested barplot by cultivar and irrigation
g = sns.catplot(
data=df, kind="bar",
x="Cultivar", y="Seed Yield", hue="Irrigation",
ci="sd", palette... | Aria-Dolatabadian/Grouped-bar-plots | Code.py | Code.py | py | 457 | python | en | code | 0 | github-code | 1 |
2687030494 | from torchvision.datasets import CIFAR10, CIFAR100, MNIST, SVHN, FashionMNIST
from data.MVTecDataset import getMVTecDataset
from data.AdaptiveExposureDataset import getAdaptiveExposureDataset
import os
import torch
import numpy as np
import torchvision.transforms as transforms
from torch.utils.data import Dataset
from ... | Mohammadjafari80/ExposureExperiment | data/data_utils.py | data_utils.py | py | 9,035 | python | en | code | 0 | github-code | 1 |
28127538716 | import numpy as np
def board_to_hash_code(board):
'''Converts board to a string for hashing.
The hash code will read the board left to right, top to bottom and place a
'0' for an empty slot, a '1' for a 1 ('x' plays as 1), and a '2' for a 2
('o' plays as 2).
Example:
[[0, 1, 1], [2, 1, 0], [0, 0, 0]] -> '0112... | LilCPuppy/ReinforcementLearning | sutton_and_barto/chapter_one/tic_tac_toe/board_utils.py | board_utils.py | py | 1,983 | python | en | code | 0 | github-code | 1 |
31409330642 | from time import time
import glob
from sys import argv
import cv2
import pickle
import shutil
from sklearn.cluster import KMeans
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import f1_score, confusion_matrix
from sklearn import preprocessing, svm
import numpy as np
## Inputs
k1 = 50
rele... | DavidLebrisse/RecoImgSSII | recoimg5.py | recoimg5.py | py | 5,238 | python | en | code | 0 | github-code | 1 |
30417780326 | from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
persons = [{"id": 1, "ad": "Seyma", "soyad": "Sarigil", "meslek": "Gelistirici", "memleket": "Hatay"},
{"id": 2, "ad": "Alp", "soyad": "Kara", "meslek": "Müzisyen", "memleket": "İstanbul"}]
class Person... | seymasa/PersonApi | main.py | main.py | py | 1,248 | python | en | code | 1 | github-code | 1 |
74874595233 | from libreria_grafo import *
from grafo import Grafo
import sys
def itinerario(vertices, n_archivo):
grafo = Grafo(True, False)
for v in vertices:
grafo.agregar_vertice(v)
with open(n_archivo) as archivo:
linea = archivo.readline()
linea = linea.rstrip("\n")
linea = linea.split(",")
grafo.agregar_arist... | alexis2013/TP3_algo2 | wrapper_comandos.py | wrapper_comandos.py | py | 2,247 | python | es | code | 0 | github-code | 1 |
70309881313 |
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
from rest_framework_simplejwt.views import TokenObtainPairView
from rest_framework import exceptions
class StaffTokenObtainPairSerializer(TokenObtainPairSerializer):
def validate(self, attrs):
data = super().validate(attrs)
... | Dayroot/Ciclo3_Backend | bookstoreApp/views/staffViews/staffTokenObtainPairView.py | staffTokenObtainPairView.py | py | 935 | python | en | code | 0 | github-code | 1 |
35823720174 |
# geocoding
from zope import interface, component
from getpaid.core.interfaces import IStoreSettings, IShippableLineItem, IOrder, IOriginRouter
from getpaid.core.payment import ContactInformation
import interfaces
class OriginRouter( object ):
" warehouse aware origin router "
component.adapts( ... | collective/getpaid.warehouse | src/getpaid/warehouse/router.py | router.py | py | 1,956 | python | en | code | 0 | github-code | 1 |
32738239065 | from ..binary import BinaryReader, BinaryWriter
from ..binary.types import Int8, Int16, Int32, UInt8, UInt16, UInt32
class HKHeader:
"""Represents Havok file header
"""
# fmt:off
magic0: UInt32 = 0x57E0E057 # 0x00 # Always 0x57E0E057
magic1: UInt32 = 0x10C0C010 # 0x04 # Always 0x10C0C010
... | krenyy/botw_havok | botw_havok/container/header.py | header.py | py | 5,236 | python | en | code | 4 | github-code | 1 |
25186306086 | class Home:
def __init__(self):
self.food = 50
self.cat_food = 30
self.money = 0
self.people = []
self.dirt = 0
def add_peoplе(self, human):
self.people.append(human)
human.house = self
| tuzer69/PythonLearning | Module25/06_cohabitation_2/home.py | home.py | py | 252 | python | en | code | 0 | github-code | 1 |
10671644338 | # -*- coding: utf-8 -*-
"""HTTP Endpoint for Netflix session management"""
from __future__ import absolute_import, division, unicode_literals
import json
import BaseHTTPServer
from SocketServer import TCPServer
import resources.lib.common as common
from .nfsession import NetflixSession
class NetflixHttpRequestHand... | Toysoft/plugin.video.netflix | resources/lib/services/nfsession/http_server.py | http_server.py | py | 1,755 | python | en | code | 4 | github-code | 1 |
24114919338 | # -*- coding: utf-8 -*-
"""Main module."""
import pandas as pd
import csv
from genedb import cleanerfunc
# def removespecchar(test):
# import re
# if type(test) == str:
# test2=re.sub('\t','',test)
# test=re.sub('\"','',test2)
# return(test)
"""String Cleaning Function."""
"""Function to... | baileyglen/genedb | genedb/genedb.py | genedb.py | py | 1,256 | python | en | code | 0 | github-code | 1 |
41507098196 | import matplotlib.pyplot as plt
import plotly.graph_objs as go
from plotly.offline import plot
from plotly.subplots import make_subplots
def plot_clandlestics(df):
fig = go.Figure(data=[go.Candlestick(x=df['date'],
open=df['open'],
high=df... | luistiagos/stockssignals | plots.py | plots.py | py | 2,488 | python | en | code | 0 | github-code | 1 |
28567208455 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"Interval detection: finding flat sections in the signal"
import numpy as np
from utils import initdefaults
from signalfilter import PrecisionAlg, CppPrecisionAlg
from .splitting import SplitDetector, PyMultiGradeSplitDetector
from .merging import PyMulti... | depixusgenome/trackanalysis | src/eventdetection/detection.py | detection.py | py | 2,828 | python | en | code | 0 | github-code | 1 |
25411278935 | import logging
import psutil
import signal
from devil.android import device_errors
from devil.android import device_utils
def _KillWebServers():
for s in [signal.SIGTERM, signal.SIGINT, signal.SIGQUIT, signal.SIGKILL]:
signalled = []
for server in ['lighttpd', 'webpagereplay']:
for p in psutil.proces... | hanpfei/chromium-net | build/android/pylib/utils/test_environment.py | test_environment.py | py | 1,425 | python | en | code | 289 | github-code | 1 |
34009029856 | import random
import time
import queue
import hashlib
from threading import *
from treelib import Node, Tree
from datetime import timedelta
import threading
lock = Lock() # Global LOCK (use to mutual exclusion)
n = 3 # Network cardinality (number of processes in the network)
growth_speed = 0.1 # regulates the growth... | czanacch/blockchain_algorithms | PaLa/PaLa4.py | PaLa4.py | py | 12,007 | python | en | code | 1 | github-code | 1 |
26384047491 | import os
def pdf_to_html(filename:str, pdfname:str):
"""
filename是路径，到当前目录就可以，
pdfname是pdf的名称，需要带后缀pdf，
该方法需要本地安装docker desktop才可使用
目前设置pdf和html都在同一个路径
"""
str = "docker run -i --rm -v "
second_str = ":/pdf bwits/pdf2htmlex pdf2htmlEX --zoom 1.3 "
all_str = str + filename + second_... | NLP-Rocket-Group/OursRepository | PDF-keyword-highlight/DockerPdfToHtml.py | DockerPdfToHtml.py | py | 653 | python | zh | code | 2 | github-code | 1 |
12828462305 | # pygame python第三方游戏库 .pyd 动态模块(可以导入,但是看不到源码) .py 静态模块
import pygame # 官方推荐这样导入
from pygame.locals import *
import sys
import time
import random
# 定义常量记录数据 (常量特点: 字母全大写 一旦定义,不要修改记录的值)
WINDOW_H = 768
WINDOW_W = 512
class Bullet: # 子弹类
def __init__(self, img_path, x, y, window):
self.img... | OreoCookiesYeah/base2 | hm_07_敌机移动.py | hm_07_敌机移动.py | py | 5,393 | python | zh | code | 0 | github-code | 1 |
73582809634 | import pytest
from src.kbt.helpers import divide_by_lines, numbers
def test_divide_by_lines_error():
data = [1, 2, 3, 4, 5, 6, 7, 8]
with pytest.raises(Exception) as e:
divide_by_lines(data, None)
assert "Error trying to divide the data in None" in str(e)
def test_divide_by_lines_error():
da... | miguelitogemio96/kata_bank_tool | test/test_helpers.py | test_helpers.py | py | 1,052 | python | en | code | 0 | github-code | 1 |
43073961333 | # -*- coding: utf-8 -*-
'''mid
此文件为数据管理程序主界面
用于对历史数据进行检查核对
功能：
1.展示本地数据KLine图形
2.下载远程数据到本地
窗口布局：
1.数据展示主窗口
左侧为本地数据列表
右侧为KLine
左下侧为本地数据操作命令按钮
2.数据下载管理子窗口
左侧为代码表
右侧为待下载代码
程序结构：
为了能够方便的被各种窗体调用嵌入，各个窗体都定义为layout
'''
from matplotlib.backends.backend_qt4agg import F... | UpSea/midProjects | histdataUI/Layouts/dataVisualizerLayout.py | dataVisualizerLayout.py | py | 15,734 | python | en | code | 1 | github-code | 1 |
36655898494 | #!/usr/bin/env python
import sys
def reindistance(r, secs):
reindata = r[1]
d = 0
rest = 0
stamina = reindata[1]
for i in range(secs):
if stamina > 0:
stamina -= 1
d += reindata[0]
if stamina == 0:
rest = reindata[2]
else:
... | gerrowadat/adventofcode | 2015/14/14-2.py | 14-2.py | py | 1,331 | python | en | code | 1 | github-code | 1 |
38682966906 | import cv2
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-i' ,'--image' ,required=True ,help = 'path to the input image')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
gray = cv2.cvtColor(image ,cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray ,(5 ,5) ,0)
#last argument in blurri... | suhaneshivam/Computer_vision | Image_operations/Center_of_shape/center_of_shape.py | center_of_shape.py | py | 994 | python | en | code | 0 | github-code | 1 |
4206675975 | """SmartDevice URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | skyu0221/IoT | backend-server/SmartDevice/urls.py | urls.py | py | 1,950 | python | en | code | 0 | github-code | 1 |
36866813408 | import fnmatch
import os
import PyPDF2
import openpyxl
from PyPDF2 import PdfReader
from openpyxl.styles import Border, Side, Font, Alignment
from openpyxl.worksheet.worksheet import Worksheet
excel_path = os.getcwd()
listOfFiles = os.listdir('.')
pdf_files = [f for f in listOfFiles if f.endswith('.pdf')]
pdf_files.... | alekspetrov3009/MACROS | Заполнение служебной записки/zap.py | zap.py | py | 5,583 | python | ru | code | 0 | github-code | 1 |
46357130631 | import numpy as np
import matplotlib.pyplot as plt
from control.matlab import *
m1 = 0.8
m2 = 0.2
k1 = 100
c1 = 1
c2 = 0.3
Ks = 100
M = np.matrix([[m1, 0],[0, m2]])
C= np.matrix([[c1+c2, -c2],[-c2, c2]])
F = np.matrix([[Ks],[0]])
iM = np.linalg.inv(M)
Bp = np.concatenate([np.zeros((2,1)), iM*F])
Cp = [0,1,0,0]
Dp ... | RyoheiTK/robust-control | sample/robust_4_1.py | robust_4_1.py | py | 1,065 | python | en | code | 0 | github-code | 1 |
17656393605 | from keras.preprocessing.image import ImageDataGenerator
from keras.applications.inception_v3 import InceptionV3
from keras import backend as K
K.set_image_dim_ordering('th')
import numpy as np
import os
#Здесь делаем аугментацию.
# Для этого в Keras предусмотрены так называемые ImageDataGenerator.
# Они будут брать ... | ValeryShestakovv/keras_incepnionV3_binary_classification | bottleneck_features.py | bottleneck_features.py | py | 3,937 | python | ru | code | 0 | github-code | 1 |
4850877077 | """
Cli functions to setup scout
"""
import logging
import datetime
import yaml
import pymongo
import click
# Adapter stuff
from scout.adapter.mongo import MongoAdapter
from scout.adapter.client import get_connection
from pymongo.errors import (ConnectionFailure, ServerSelectionTimeoutError)
# Import the resources t... | gitter-badger/scout | scout/commands/setup/setup_scout.py | setup_scout.py | py | 13,127 | python | en | code | null | github-code | 1 |
19906847432 | import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.layers import LSTM
import string
import keras
# DONE: fill out the function below that transforms the input series
# and window-size into a set of input/output pairs for use with our RNN model
def window_tran... | vincentmhhon/aind2-rnn | my_answers.py | my_answers.py | py | 2,304 | python | en | code | 0 | github-code | 1 |
12803022896 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 5 20:13:40 2018
@author: liuchuang
线性时间求解 最大子数组
"""
def Find_Maxmum_Subarray(A, low, high):
left=0
right=0
sum = A[low]
tempSum = 0
for i in range(low,high+1):
tempSum = max(A[i],tempSum+A[i])
if tempSum>sum:
... | LiuChuang0059/python_practise | graph algorithm/find_maxmum_subarray_lineartime_algr.py | find_maxmum_subarray_lineartime_algr.py | py | 531 | python | en | code | 43 | github-code | 1 |
31595782614 |
from matplotlib import pyplot
from matplotlib.patches import Rectangle
import imageIO.png
import numpy as np
import math
class Queue:
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def enqueue(self, item):
self.items.insert(0,item)
def dequeu... | iessje/QR-code-detection | QRCodeDetection.py | QRCodeDetection.py | py | 13,915 | python | en | code | 0 | github-code | 1 |
72505330915 | # --------------------------------------------------------------------
# shell.py: Shell command execution tools, including ShellRecipe.
#
# Author: Lain Musgrove (lain.proliant@gmail.com)
# Date: Thursday, January 2 2020
#
# Distributed under terms of the MIT license.
# ------------------------------------------------... | lainproliant/panifex | panifex/shell.py | shell.py | py | 13,661 | python | en | code | 1 | github-code | 1 |
2418374637 | import logging
from odoo import api, models, _
from odoo.tools import ormcache
from odoo.tools.config import config, to_list
_logger = logging.getLogger(__name__)
WEB_BASE_URL_FREEZE = 'web.base.url.freeze'
class IrConfigParameter(models.Model):
_inherit = 'ir.config_parameter'
@api.model
@ormcache()
... | decgroupe/odoo-addons-dec | base_url_freeze_filtering/models/ir_config_parameter.py | ir_config_parameter.py | py | 889 | python | en | code | 2 | github-code | 1 |
32485610231 | import sys
t = int(sys.stdin.readline().strip())
for _ in range(t):
x, y = map(int, sys.stdin.readline().strip().split())
d = y - x
b = int((d-1) ** 0.5)
if d <= (b**2 + (b+1)**2)//2:
print(b * 2)
else:
print(b * 2 + 1)
c = 0
while True:
if d <= c * (c + 1):
... | CrimsonTheLegoBuilder/MyBaekjoonSolve | Python_/implementation/bj1011.py | bj1011.py | py | 630 | python | en | code | 0 | github-code | 1 |
31278878919 | import os
import cv2
def count_frames(path, override=False):
# grab a pointer to the video file and initialize the total
# number of frames read
video = cv2.VideoCapture(path)
total = 0
# if the override flag is passed in, revert to the manual
# method of counting frames
if override:
total = count_frames_manua... | DimasVeliz/ExtractingFrames | resolvingFrames.py | resolvingFrames.py | py | 2,869 | python | en | code | 0 | github-code | 1 |
348772121 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 21 15:42:31 2018
@author: Ashish Chouhan
"""
#The optimal values of m and b can be actually calculated with way less effort than doing a linear regression.
#this is just to demonstrate gradient descent
import numpy as np
from matplotlib import pyplot as plt
# y = mx +... | achouhan93/Machine_Learning | Linear Regression/GradientDescent_With Plot Feature.py | GradientDescent_With Plot Feature.py | py | 2,566 | python | en | code | 0 | github-code | 1 |
18636425161 | import datetime as dt
from datetime import timedelta
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
def greet(r_date):
print('Writing in file')
with open('./greet.txt', 'a+', encoding='utf8') as f:
now = dt.d... | madhur09/apache_airflow | airflow_home/dags/simple_dag.py | simple_dag.py | py | 1,403 | python | en | code | 0 | github-code | 1 |
42922051653 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
class classe(models.Model):
_name = 'iut.class'
_sql_constraints = {
('name_unique', 'unique(name)', 'Ce nom existe déjà')
}
name = fields.Char(string="Nom de la classe",required=True)
level = fields.Selection([('seconde', 'Seco... | nlthevinh/Gestion-Lyc-e | models/classe.py | classe.py | py | 1,050 | python | en | code | 0 | github-code | 1 |
11481603432 | import sys,re,difflib,time,datetime
import numpy as np
from array import array
np.set_printoptions(threshold=sys.maxsize)
import matplotlib.pyplot as plt
import networkx as nx
def show_graph_with_labels(adjacency_matrix, mylabels):
rows, cols = np.where(adjacency_matrix != 0)
edges = zip(rows.tolist(), cols.to... | FabienCharmet/MDPRA | showgraph.py | showgraph.py | py | 680 | python | en | code | 0 | github-code | 1 |
33422209146 | from google.cloud import aiplatform
import numpy as np
endpoint_name = "text-classification_endpoint"
endpoint = aiplatform.Endpoint.list(filter=f'display_name="{endpoint_name}"')[0]
text = "I love going to the movies!"
result = endpoint.predict(instances=[{'content': text}])
prediction = result.predictions[0]
names =... | MeTaNoV/model-training | test/scripts/inference/text_classification_inference.py | text_classification_inference.py | py | 499 | python | en | code | 0 | github-code | 1 |
72920658275 | from django.db import models
from django.utils.html import mark_safe
from edc_base.model_mixins import BaseUuidModel
from edc_base.sites.site_model_mixin import SiteModelMixin
from edc_base.utils import get_utcnow
from edc_consent.field_mixins import VerificationFieldsMixin
from edc_identifier.model_mixins import NonUn... | botswana-harvard/edc-odk | edc_odk/models/consent_copies.py | consent_copies.py | py | 1,675 | python | en | code | 0 | github-code | 1 |
10594328363 | with open("file1.txt") as file_1:
f1_list = file_1.readlines()
f1 = [int(num.strip("\n")) for num in f1_list]
with open("file2.txt") as file_2:
f2_list = file_2.readlines()
f2 = [int(num.strip("\n")) for num in f2_list]
result = list(set(f1) & set(f2))
# Write your code above 👆
print(result)
| FirelCrafter/100_days_challenge | day_26/day-26-3-exercise/main.py | main.py | py | 318 | python | en | code | 0 | github-code | 1 |
15922680536 | import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader, ConcatDataset
import mat73
class MatCovData(Dataset):
def __init__(self, snr=10, mode='train', norm=None):
super(MatCovData, self).__init__()
if mode == 'train':
file_path = '/home/External/xr/SDOAnet/doa... | FurryMushroom/DOA_Estimation_machine_learning | dataset.py | dataset.py | py | 2,993 | python | en | code | 1 | github-code | 1 |
21451999572 | import paho.mqtt.client as mqtt
import sqlite3
from datetime import datetime, timedelta
# Name of DB file.
db_file = "connected_devices.db"
# Exceptions classes.
class ConnectionToMqttBrokerException(Exception):
def __init__(self):
pass
def __str__(self):
message = "MQTT Manager could not connect t... | kosmolub01/Smart-home | Smart_home/app/mqtt_manager.py | mqtt_manager.py | py | 9,827 | python | en | code | 0 | github-code | 1 |
73262103715 | def main():
try:
fuel = input("Fraction: ")
x, y = fuel.split(sep="/")
error_handling(x , y)
percentage = (int(x)/int(y)) * 100
if percentage <= 1:
print ("E", end="")
elif percentage >= 99:
print ("F", end="")
else:
print (... | pmagalha/CS50-Python | Problem Set 3/fuel/fuel.py | fuel.py | py | 673 | python | en | code | 0 | github-code | 1 |
14807809950 | from typing import cast, TYPE_CHECKING
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from starlette.requests import HTTPConnection
from starlite import (
AbstractAuthenticationMiddleware,
AuthenticationResult,
NotAuthorizedException,
)
from database.model import User
from s... | ppkpp/starlite_reactjs | security/auth_middleware.py | auth_middleware.py | py | 1,368 | python | en | code | 0 | github-code | 1 |
28684901336 | import os
import pandas as pd
from django.shortcuts import render
from django.http import HttpResponseRedirect
source_dates = pd.read_csv("us-covid-dates.csv")
titles = {
"ct": {
"title": "CASE RATE REPORTED BY STATE | TOTAL",
"subtitle": "TOTAL NUMBER OF CASES | AS OF THE DATE INDICATED"
},
... | andrey-yakovenko/va-project | mysite/polls/views.py | views.py | py | 2,703 | python | en | code | 0 | github-code | 1 |
4576712455 | import base64
import xml.etree.ElementTree as ET
import gimme_aws_creds.common as commondef
from . import errors
class DefaultResolver(object):
"""
The Aws Client Class performs post request on AWS sign-in page
to fetch friendly names/alias for account and IAM roles
"""
def __init__(self, ... | Nike-Inc/gimme-aws-creds | gimme_aws_creds/default.py | default.py | py | 2,029 | python | en | code | 884 | github-code | 1 |
18054362967 | def collatz(number):
if number % 2 == 0:
return number / 2
elif number % 2 == 1:
return number * 3 + 1
while True:
try:
n = int(input('请输入一个大于零的整数，按enter键确定'))
if n <= 0:
print('输入错误，请输入一个大于零的整数，按enter键确定，重新输入')
continue
break
except:
... | gouyanzhan/Python | day1/test5.py | test5.py | py | 528 | python | en | code | 0 | github-code | 1 |
36377970290 | from src.infra.database.sqlite.views.user.user_view import *
from src.data.protocols.user.authenticate_user_repository import AuthenticateUserRepository as AuthenticateUserRepositoryInterface
from src.data.protocols.user.list_user_account_repository import ListUserAccountRepository as ListUserAccountRepositoryInterface... | pedrohso7/PokeTroca | backend/src/infra/database/sqlite/repository/list_user_account_repository/list_user_account.py | list_user_account.py | py | 796 | python | en | code | 2 | github-code | 1 |
3476128370 | # -*- coding: utf-8 -*-
"""
Trains and tests a Rolling Bayesian Ridge Regression model on data
@author: Nick
"""
import warnings
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.feature_selection import VarianceThreshold
from sklearn.preprocessing import MinMaxScal... | N-ickMorris/Time-Series | elect_rolling_bayes.py | elect_rolling_bayes.py | py | 2,128 | python | en | code | 0 | github-code | 1 |
2003100509 | from tests import unittest
from awscli.customizations.s3.utils import find_bucket_key, find_chunksize
from awscli.customizations.s3.constants import MAX_SINGLE_UPLOAD_SIZE
class FindBucketKey(unittest.TestCase):
"""
This test ensures the find_bucket_key function works when
unicode is used.
"""
de... | gthiruva/aws-cli | tests/unit/customizations/s3/test_utils.py | test_utils.py | py | 1,705 | python | en | code | null | github-code | 1 |
24231412484 | import sys
from PyQt5 import QtWidgets
from PyQt5.QtCore import QThread
import pyqtgraph as pg
import numpy as np
from MainWindow import Ui_MainWindow
#from GraphClass import MultiLine # Supposed to improve perforamnce, but with latest pyqtgraph updates maybe not needed anymore
from WorkerClass import AcquireData
from... | nelsongt/mfiaDLTS2 | mfiaMain.py | mfiaMain.py | py | 6,880 | python | en | code | 3 | github-code | 1 |
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