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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value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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69096792 | ##################################################
# pygame - 마우스 이벤트(MOUSEMOTION) 이해
#
# 참고 사이트
# https://pg.org
# https://pg.org/docs/
##################################################
import pygame as pg
import sys
import time
# 초기화 작업
# 반드시 주어진 함수이름과 순서를 지켜야 함.
pg.init()
screen = pg.display.set_mode((400, 300... | null | 1006.py | 1006.py | py | 885 | python | en | code | null | code-starcoder2 | 51 |
89133984 | #чоловіки жінки ієрархічна
import pandas as pd
import matplotlib.pyplot as plt
import scipy.cluster.hierarchy as sch
from sklearn.cluster import AgglomerativeClustering
data = pd.read_csv('1.csv', sep=';')
print(data.head())
X = data.iloc[:, [0, 5, 6]].values
#дендограма
dendogram = sch.dendrogram(sch.linkage(X[:,... | null | 2.py | 2.py | py | 1,307 | python | en | code | null | code-starcoder2 | 51 |
220999683 | import psutil as ps
import time
import netifaces
class NetMonitor:
def __init__(self):
self._last_stat = None
self._last_time = None
def _get_net_io_counters(self):
counters = ps.net_io_counters(pernic=True)
ret = dict()
for k, v in counters.items():
ret[... | null | statbrowser/monitor/network.py | network.py | py | 1,655 | python | en | code | null | code-starcoder2 | 51 |
328569008 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 18 16:59:20 2020
@author: Jieyun Hu
"""
# This file includes preparing the data, encoding and modeling
# To predict two type of activity. Click = 0 , Swipe = 1.
# put this file outside the filtered_traces folder
import os
import json
from matplotlib import py... | null | encoding_modeling.py | encoding_modeling.py | py | 6,613 | python | en | code | null | code-starcoder2 | 51 |
574894510 |
from xai.brain.wordbase.verbs._participate import _PARTICIPATE
#calss header
class _PARTICIPATED(_PARTICIPATE, ):
def __init__(self,):
_PARTICIPATE.__init__(self)
self.name = "PARTICIPATED"
self.specie = 'verbs'
self.basic = "participate"
self.jsondata = {}
| null | xai/brain/wordbase/verbs/_participated.py | _participated.py | py | 273 | python | en | code | null | code-starcoder2 | 51 |
22089702 | import sys
import time
import copy
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
def scroll_bottom(browser, cycle):
# scroll to bottom to get more URLs
script = "var q=document.documentElement.scrollTop={}"
scroll = 10000
for i in range(cycle):
js = script.format(sc... | null | scrapy.py | scrapy.py | py | 1,817 | python | en | code | null | code-starcoder2 | 51 |
28042027 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
import re
EMAIL_REGEX = re.compile(r'^[a-zA-Z0-9.+_-]+@[a-zA-Z0-9._-]+\.[a-zA-Z]+$')
class Recipe:
def __init__( self , data ):
self.id = data['id']
self.name = data['name']
self.description = data['descr... | null | flask_mysql/validation/recipes/flask_app/models/recipe.py | recipe.py | py | 3,191 | python | en | code | null | code-starcoder2 | 50 |
359088689 | import json
def run(data, parameters):
listDictionaries = json.loads(data)
minVehicleCount = int(parameters['minVehicleCount'])
maxVehicleCount = int(parameters['maxVehicleCount'])
print('minVehicleCount is: ' + str(minVehicleCount))
print('maxVehicleCount is: ' + str(maxVehicleCount))
# Filte... | null | vehicleCountFilterScript.py | vehicleCountFilterScript.py | py | 1,639 | python | en | code | null | code-starcoder2 | 50 |
302851296 | """Ecolink 4655BC0-R device."""
from zigpy.profiles import zha
from zigpy.quirks import CustomDevice
from zigpy.zcl.clusters.general import Basic, Identify, Ota, PollControl
from zigpy.zcl.clusters.homeautomation import Diagnostic
from zigpy.zcl.clusters.measurement import TemperatureMeasurement
from zigpy.zcl.cluster... | null | zhaquirks/ecolink/contact.py | contact.py | py | 2,215 | python | en | code | null | code-starcoder2 | 50 |
504414090 | import networkx as nx # Imports networkx package for implementation of graphs
import matplotlib.pyplot as plt # Imports matplotlib package for plotting and displaying the graphs
node=[]
edge=[]
# Return a list of nodes of each cycle
def cycles(G):
l = list(nx.simple_cycles(G))
if len(l) != 0:
print... | null | Standalone EXE program/graph.py | graph.py | py | 5,266 | python | en | code | null | code-starcoder2 | 50 |
69774422 | def search(amount, values, maxValues, maxValueItems):
for i in range(amount + 1):
maxValue = 0
maxValueItem = None
for d in [value for value in values if value[1] <= i]:
if d[2] + maxValues[i - d[1]] > maxValue:
maxValue = d[2] + maxValues[i - d[1]]
maxValueItem = d
maxValues[i] ... | null | base/steal_bag.py | steal_bag.py | py | 798 | python | en | code | null | code-starcoder2 | 50 |
649364548 | #!/usr/bin/python
# Deploys the master branch to the hutmap.com dreamhost account
#
# Specifically, merges master into dreamhost, builds css and js files with new
# uuid suffixes, pulls this all into dreamhost, and restarts the server.
#
# Assumptions:
# - git on the PATH (i.e. you can use git from a terminal)
# - the... | null | scripts/utils/deploy-dreamhost.py | deploy-dreamhost.py | py | 2,397 | python | en | code | null | code-starcoder2 | 51 |
538532492 | # coding=utf-8
from random import Random
# json数据((filename,data),(filename,time))
ZeroJsonData = { 'data':{}, 'time':{} }
# 计算字符串长度
def strLen(str):
try:
row_l=len(str)
utf8_l=len(str.encode('utf-8'))
return (utf8_l-row_l)/2+row_l
except:
return None
return N... | null | app/glb.py | glb.py | py | 760 | python | en | code | null | code-starcoder2 | 51 |
510353263 | from .attention_weight import AttentionWeight
from .weight_sum import WeightSum
class Attention:
def __init__(self):
self.params, self.grads = [], []
self.attention_weight = AttentionWeight()
self.weight_sum = WeightSum()
self.weight = None
def forward(self, hs, h):
... | null | model/layer/attention.py | attention.py | py | 652 | python | en | code | null | code-starcoder2 | 51 |
13869570 | ###
# Script for plotting and animating both PurpleAir and AQY data from a controlled experiment
# across multiple rounds. If a similar experiment is performed in the future, the filenames
# and round times can be subsituted into the global variables at the top of the script to
# produce new plots
###
import pandas as... | null | AQY_Analysis/exp.py | exp.py | py | 12,989 | python | en | code | null | code-starcoder2 | 51 |
248293684 | from flask import Blueprint, render_template, redirect, url_for, request
import traceback
from fantom_util import mturk
from controllers import training_controller
training_app = Blueprint("training", __name__)
CONTACT_EMAIL = "<INSERT_EMAIL@EXAMPLE.COM>"
@training_app.route("/set_trainer")
def set_trainer() -> str:... | null | crowd_sourcing/pages/training.py | training.py | py | 3,018 | python | en | code | null | code-starcoder2 | 51 |
456678305 | from readMetrics import readMetrics
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.pyplot import cm
from scipy.interpolate import splrep, splev, interp1d
from math import log10, floor
MAXRAD = ['90', '92', '94', '96']
MAXRAD = ['90', '99']
#MAXRAD = ['80','82','84','86','88','90', '92', '94', ... | null | C++/draft01/ALT/highCa/postproc/metrics/master/metrics.py | metrics.py | py | 2,928 | python | en | code | null | code-starcoder2 | 51 |
286640403 | """
Author:
oliver
"""
import numpy as np
import pandas as pd
import scipy as sp
import datetime
import time
import subprocess
import matplotlib
# matplotlib.use("Agg") # This suppresses the annoying Python Rocket GUI indicator in the dock.
matplotlib.use('TkAgg')
import pylab
import matplotlib.pyplot as plt
f... | null | Python/other_rates.py | other_rates.py | py | 3,441 | python | en | code | null | code-starcoder2 | 51 |
485497608 | """
输入两个正整数计算它们的最大公约数和最小公倍数
Version: 0.1
Author: rebecca
Date: 2018-03-01
"""
a, b= input("please input two positive integer: ").split()
a = int(a)
b = int(b)
for i in range(min(a,b),0,-1):
if a%i==0 and b%i==0:
print("%d is the highest common factor of %d and %d" %(i,a,b))
print("%d is the least c... | null | day1-3 2021-06-10/py_day4_2.py | py_day4_2.py | py | 424 | python | en | code | null | code-starcoder2 | 51 |
277624187 | """ Sentiment Classification Model """
from data import IMDB_Data_Loader
import tensorflow as tf
import tensorflow_hub as hub
from tensorflow.contrib import predictor
import pandas as pd
import os
class Sentiment_Classifier:
def __init__(self):
self.dl = IMDB_Data_Loader()
self.train_df, self.test_... | null | ml_model.py | ml_model.py | py | 3,869 | python | en | code | null | code-starcoder2 | 51 |
52024111 | import os
import json
import base64
from typing import (Dict, Optional, Any, List)
from collections import OrderedDict
from gtmcore.labbook.labbook import LabBook
from gtmcore.activity import ActivityStore, ActivityType, ActivityRecord, ActivityDetailType, ActivityDetailRecord, \
ActivityAction
from gtmcore.activ... | null | packages/gtmcore/gtmcore/environment/bundledapp.py | bundledapp.py | py | 6,800 | python | en | code | null | code-starcoder2 | 51 |
253550646 | from panther_base_helpers import box_parse_additional_details
def rule(event):
if event.get('event_type') != 'SHIELD_ALERT':
return False
alert_details = box_parse_additional_details(event).get('shield_alert', {})
if alert_details.get('rule_category', '') == 'Anomalous Download':
if alert_... | null | box_rules/box_anomalous_download.py | box_anomalous_download.py | py | 819 | python | en | code | null | code-starcoder2 | 51 |
300483046 | import time
import argparse
import pynvml
class Device(object):
class Status:
INIT = "INIT"
DETECTING = "DETECTING"
STOP = "STOP"
start_detecting_mem_threshold = 32 * 1024 * 1024
def __init__(self, handle):
self.handle = handle
self.status = self.Status.INIT
... | null | LanguageModeling/gpt-2/tools/gpu_memory_usage.py | gpu_memory_usage.py | py | 1,861 | python | en | code | null | code-starcoder2 | 51 |
397983169 | #!/usr/bin/env python
# coding:utf-8
"""
Author:
LiTeng 1471356861@qq.com
Implement TextRNN, contains LSTM，GRU，RNN
Reference: "Effective LSTMs for Target-Dependent Sentiment Classification"
"Bidirectional LSTM-CRF Models for Sequence Tagging"
"Generative and discriminative text classi... | null | model/classification/textrnn.py | textrnn.py | py | 3,277 | python | en | code | null | code-starcoder2 | 50 |
522554903 | """Common features for bignum in test generation framework."""
# Copyright The Mbed TLS Contributors
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | null | scripts/mbedtls_dev/bignum_common.py | bignum_common.py | py | 4,802 | python | en | code | null | code-starcoder2 | 50 |
307158340 | #Jose Luis Mata Lomelí
#Crear dibujos tipo espirografo
import pygame
import math
import random
#Dimensiones
Ancho = 800
Alto = 800
#Colores
BLANCO = (255, 255, 255)
def dibujar(r, R, l):
# Inicializa el motor de pygame
pygame.init()
# Crea una ventana de Ancho * Alto
ventana = pyga... | null | misionImposible-mision6.py | misionImposible-mision6.py | py | 3,559 | python | en | code | null | code-starcoder2 | 50 |
195964046 | #import ui #used for pythonista
#import console #used for pythonista
import get_time
import get_data
import calc
import matplotlib.pyplot as plt
import pylab
import matplotlib.dates as mdates
import pylab
from io import BytesIO
from pprint import pprint
#Last week: sunday (0) + Monday (2)
#week before: Sunday (1) + M... | null | Winter_10.py | Winter_10.py | py | 5,363 | python | en | code | null | code-starcoder2 | 51 |
340674584 | from influxdb import InfluxDBClient
from numpy.random import default_rng
import numpy as np
import pandas as pd
import datetime
import random
import csv
import os
from optimal_downsampling_manager.resource_predictor.estimate_table import Degraded_IATable, get_context, DownTimeTable, DownRatioTable, Degraded_Q_IATable,... | null | query_generator.py | query_generator.py | py | 7,452 | python | en | code | null | code-starcoder2 | 51 |
263821164 | import json
import logging
from typing import List, Callable, Any, Optional
from cryptoxlib.WebsocketMgr import Subscription, WebsocketMgr, WebsocketMessage, Websocket, CallbacksType
from cryptoxlib.Pair import Pair
from cryptoxlib.clients.binance.functions import map_ws_pair
from cryptoxlib.clients.binance.enums impo... | null | cryptoxlib/clients/binance/BinanceWebsocket.py | BinanceWebsocket.py | py | 5,553 | python | en | code | null | code-starcoder2 | 51 |
551508955 | from flask_twisted import Twisted
from wordStore.app import create_app
app = create_app()
twisted = Twisted(app)
if __name__ == '__main__':
twisted.run(
host=app.config['host'], port=app.config['port'], debug=app.config['debug'])
| null | manage.py | manage.py | py | 247 | python | en | code | null | code-starcoder2 | 51 |
566139547 | import datetime
import os
import matplotlib.pyplot as plt
import networkx as nx
class Representation:
def __init__(self):
self.iterations =[]
self.values_fc = []
def reset_chart(self):
self.iterations= []
self.values_fc= []
def add_point_to_chart(self,iteration, value):
... | null | src/representation.py | representation.py | py | 5,446 | python | en | code | null | code-starcoder2 | 50 |
179960298 |
from bs4 import BeautifulSoup
from datetime import datetime,date
import requests
import os
import sys
import re
import time
from subprocess import call,Popen,check_output,PIPE
sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'includes'))
from customSettings import repoDir,djangoDir,djangoSettings,startFin... | null | django/n.libtech.info/src/custom/crawlScripts/crawlMain.py | crawlMain.py | py | 7,211 | python | en | code | null | code-starcoder2 | 50 |
523380136 | import numpy as np
import operator # k-近邻算法执行排序操作
import argparse
import matplotlib
import matplotlib.pyplot as plt
import os
def createDataSet():
group = np.array([[1.0, 1.1], [1.0, 1.0], [0, 0], [0, 0.1]])# 测量点
labels = ['A', 'A', 'B', 'B'] # 数据点的标签信息,元素个数等于group矩阵行数
return group, labels
# 参数：inX:用于分类的... | null | MLzhoupengwu/kNN.py | kNN.py | py | 7,339 | python | en | code | null | code-starcoder2 | 50 |
3765698 | from django.urls import path
from .views import CategoryView, ProductListView, OrderCreateView
from rest_framework import routers
app_name = 'products'
router = routers.DefaultRouter()
router.register('products', ProductListView, basename='product')
urlpatterns = [
path('categories/', CategoryView.as_view()),
... | null | products/urls.py | urls.py | py | 384 | python | en | code | null | code-starcoder2 | 50 |
215224187 | import time
import torch
import torch.nn.functional as F
from torch.utils.data.dataloader import DataLoader
from torch.utils.tensorboard import SummaryWriter
from audio import Audio
from dataset import new_audio_datasets
from losses import MaskedL1
from model.io import ModelPackage
from utils.common import Averager
f... | null | trainer.py | trainer.py | py | 7,709 | python | en | code | null | code-starcoder2 | 50 |
477060780 | from echopype.echodata import EchoData
import xarray as xr
import numpy as np
def test_harmonize_env_param_time():
# Scalar
p = 10.05
assert EchoData._harmonize_env_param_time(p=p) == 10.05
# time1 length=1, should return length=1 numpy array
p = xr.DataArray(
data=[1],
coords={
... | null | echopype/tests/echodata/test_echodata_misc.py | test_echodata_misc.py | py | 1,519 | python | en | code | null | code-starcoder2 | 50 |
255206708 | """ HandleCollisionsAction module
Contains HandleCollisionsAction class and associated utilities. Used in
controlling the gameplay and managing collisions in-game.
Authors:
- Shad Christopherson
- Peter Griffin
- Christian Soldevilla
"""
import random
from game import constants
from game.action import Action
from... | null | cse210-tc06/batter/game/handle_collisions_action.py | handle_collisions_action.py | py | 3,574 | python | en | code | null | code-starcoder2 | 50 |
9420601 | import pdfkit
def html_to_pdf(html, to_file):
# 将wkhtmltopdf.exe程序绝对路径传入config对象
path_wkthmltopdf = r'C:\\Program Files\\wkhtmltopdf\\bin\\wkhtmltopdf.exe'
config = pdfkit.configuration(wkhtmltopdf=path_wkthmltopdf)
# 生成pdf文件，to_file为文件路径
pdfkit.from_file(html, to_file, configuration=config)
p... | null | docs/html/htmltopdf.py | htmltopdf.py | py | 413 | python | en | code | null | code-starcoder2 | 50 |
453182898 | #! /usr/bin/env python
# Public domain; MZMcBride, 2011; Legoktm, 2014
from flask import Flask, request
import cgi
import urllib
import re
import oursql
import operator
import json
import os
app = Flask(__name__)
my_cnf = os.path.expanduser('~/replica.my.cnf')
def database_list():
conn = oursql.connect(host='e... | null | checker/checker.py | checker.py | py | 9,445 | python | en | code | null | code-starcoder2 | 51 |
575911156 | from django.contrib import messages
from django.shortcuts import render, redirect
from .forms import MicrotasksForm
from .models import Microtasks,MAL_Requirements
# Create your views here.
def microtask(request):
if request.method == 'POST':
form = MicrotasksForm(request.POST, request.FILES)
if fo... | null | jobs/views.py | views.py | py | 3,217 | python | en | code | null | code-starcoder2 | 51 |
262511262 | import pandas as pd
import numpy as np
import re
import os
import matplotlib.pyplot as plt
from nltk.corpus import stopwords
from six.moves import cPickle as pickle
from nltk.corpus import stopwords
from sklearn.metrics import confusion_matrix, f1_score, precision_score, recall_score
import itertools
no_alignment_file ... | null | run_model.py | run_model.py | py | 15,676 | python | en | code | null | code-starcoder2 | 51 |
161296733 | ''' Gestion principale d'un jeu de Yams, module principal.
@author: Rouyan Thi
'''
from random import sample, randint
def jet_init(nb_des, mode):
'''Lance tous les dés une première fois.
:param nb_des: nombre de dés à lancer
:type nb_des: int
:param mode: jeu avec ou sans dés cassés
:type ... | null | modules/main.py | main.py | py | 2,912 | python | en | code | null | code-starcoder2 | 51 |
445572431 | """
mapsAPI.py
Source Code for Google Maps API or interaction between genetic algorithm and google maps
Author(s): Niklaas Cotta
CIS422 FA21
Team NASAK
Creation Date: 10/9/21
Sources:
List of APIs: https://developers.google.com/maps/documentation
Distance Matrix Documentation: https://developers.google.com/maps/doc... | null | webapp/api/mapsAPI.py | mapsAPI.py | py | 4,441 | python | en | code | null | code-starcoder2 | 51 |
194272122 |
def line_splitter(filename):
num1 = []
with open(filename, encoding="utf8") as text:
text = text.read()
text.strip("\n")
line = text.splitlines()
return line
def search_cap_letter(line):
speech_box = []
speech_box1 = []
DASH = "—"
cap_inp = input("Найти... | null | Preparation1.py | Preparation1.py | py | 1,089 | python | en | code | null | code-starcoder2 | 51 |
457832215 |
from PIL import Image, ImageDraw
import math
import random
SIZE=(500, 700)
START=(250, SIZE[1]-100)
def radians(degrees):
return degrees/180*math.pi
def sortAngleHelper(angle):
return getAngleDistance(angle, radians(-90))
def getAngleDistance(angleA, angleB):
distance = angleA - angleB
if dis... | null | generate/objects/trees/evergreen.py | evergreen.py | py | 6,806 | python | en | code | null | code-starcoder2 | 51 |
341016782 | from Stacks import FirstStack
def is_valid(expr):
st = FirstStack.Stack() # Use the Class.method notation to access the Stack() class in FirstStack
for ch in expr:
if ch in '({[':
st.push(ch)
if ch in ')}]':
if st.is_empty():
print("Right parentheses a... | null | Python_Programming/PythonDataStructures/Stacks/ValidateParentheses.py | ValidateParentheses.py | py | 1,284 | python | en | code | null | code-starcoder2 | 51 |
332385312 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
clicksData = pd.read_csv('./clicksInfo.csv', '\t', header=0).ix[:,:].as_matrix()
conversionsData = pd.read_csv('./conversionsInfo.csv', '\t', header=0).ix[:,:].as_matrix()
objForCpc = {}
for row in clicksData:
if(row[0] in objForCpc):
objForCp... | null | plots/basicBarForAvgCpc.py | basicBarForAvgCpc.py | py | 1,123 | python | en | code | null | code-starcoder2 | 51 |
641614323 | # coding: utf-8
from __future__ import unicode_literals
import os.path
import re
from collections import Sequence
from operator import itemgetter
from .common import InfoExtractor
from ..compat import (
compat_urllib_parse_urlparse,
compat_urlparse,
compat_str,
)
from ..utils import parse_iso8601, Extract... | null | youtube_dl/extractor/youmaker.py | youmaker.py | py | 15,038 | python | en | code | null | code-starcoder2 | 51 |
278790596 | import os
from os import listdir
from openvino.inference_engine import IECore
import cv2
import numpy as np
from scipy.spatial.distance import cosine
import imutils
import dlib
from numpy import savez_compressed
det_model=r"C:\Users\LENOVO\Desktop\FaceReid\detection_model\face-detection-0202.xml"
det_w... | null | Evaluating the Oneshot model/modelEval-Straightface.py | modelEval-Straightface.py | py | 7,910 | python | en | code | null | code-starcoder2 | 51 |
649318733 | import unittest
class TestMnvram(unittest.TestCase):
def test_rename(self):
nvram = {}
from mnvram import MozaiqRouter
router = MozaiqRouter(nvram)
router.renameRouter("newname")
nvram = router.nvram
self.assertTrue(nvram['wan_hostname'] == 'mozaiqnewname')
self.assertTrue(nvram['router_... | null | test_mnvram.py | test_mnvram.py | py | 457 | python | en | code | null | code-starcoder2 | 51 |
641535635 | # popQuiz - Nov 30, 2018
# Michael Reilly
# I pledge my honor that I have abided by the Stevens Honor System
from cs115 import *
'''
These exercises give you practice writing code with loops and practice reading code.
Read the instructions and the code carefully.
'''
'''
Here is a variation on the Car class.
'''
... | null | popQuiz.py | popQuiz.py | py | 5,796 | python | en | code | null | code-starcoder2 | 51 |
606580312 | import gc
import uasyncio as asyncio
gc.collect()
from base_node import BaseDriver
import lvgl as lv
async def set_valve(i2c, i2c_address, pin, state):
'''
Parameters
----------
i2c : machine.I2C
I2C driver handle.
i2c_address : int
I2C address.
pin : int
... | null | valve.py | valve.py | py | 721 | python | en | code | null | code-starcoder2 | 51 |
55454051 | # Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""A mixin for objects that can be filtered in Query API"""
class Filterable(object):
"""Mixin for identification of filterable attributes of model in Query API"""
_filterable_attrs = []
@classmetho... | null | src/ggrc/models/mixins/filterable.py | filterable.py | py | 996 | python | en | code | null | code-starcoder2 | 51 |
114287718 | import pgl
import paddle.fluid as F
import paddle.fluid.layers as L
from models.base import BaseNet, BaseGNNModel
from models.ernie_model.ernie import ErnieModel
from models.ernie_model.ernie import ErnieGraphModel
from models.ernie_model.ernie import ErnieConfig
class ErnieSageV2(BaseNet):
def build_inputs(self... | null | examples/erniesage/models/erniesage_v2.py | erniesage_v2.py | py | 4,208 | python | en | code | null | code-starcoder2 | 50 |
643000706 | #Time complexity: O(n)
#Space complexity: O(1)
#Works on leetcode: yes
#Approach: The idea here is to find the middle of the linked list and then reverse the second half of the linked list.
#After that, start traversing and comparing the first half and second half of the linked list. If any value is unequal,
#the link... | null | Problem2.py | Problem2.py | py | 1,147 | python | en | code | null | code-starcoder2 | 50 |
216516250 | from typing import List
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
if amount == 0:
return 0
if coins is None or len(coins) == 0:
return -1
coins = sorted(coins)
if amount < coins[0]:
return -1
result = [10... | null | coin_change.py | coin_change.py | py | 712 | python | en | code | null | code-starcoder2 | 50 |
422560165 | from __future__ import print_function
import contextlib
import functools
import os
import sys
import shutil
import subprocess
import time
from astropy.io import fits
from .backend import CoadditionBackend
from .backend import ProjectionBackend
from .backend import BackendError
@contextlib.contextmanager
def timer(... | null | worker/backend/swarp.py | swarp.py | py | 8,652 | python | en | code | null | code-starcoder2 | 50 |
439059818 | import pandas as pd
import requests
import settings
import pygame.mixer
import os
import time
aitalk_url = "https://webapi.aitalk.jp/webapi/v2/ttsget.php"
csv_path = "./audio/dialogue.csv"
audio_folder = "./audio/"
df = pd.read_csv(csv_path, index_col=0)
pygame.mixer.init()
def get_dialogue(status):
print(df['di... | null | dialogue.py | dialogue.py | py | 2,754 | python | en | code | null | code-starcoder2 | 50 |
558180748 | #!/usr/bin/env python3
# coding=utf-8
# Author: Junjie Wang
# Mail: dreamboy.gns@sjtu.edu.cn
# Website:http://120.79.231.160
# Blog:http://120.79.231.160/wordpress
# Created Time: 2018-12-01 21:03:11
# -------------- For more details, refer to https://wiseodd.github.io/techblog/2015/10/17/metropolis-hastings/ ----... | null | M_H_Sampling.py | M_H_Sampling.py | py | 1,693 | python | en | code | null | code-starcoder2 | 50 |
162549020 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
class StockCollection(object):
def __init__(self):
self.__stocks = []
def add_stock(self, stock):
self.__stocks.append(stock)
def get_stock(self, index):
return self.__stocks[index]
def get_stocks(self... | null | project/StockCollection.py | StockCollection.py | py | 1,674 | python | en | code | null | code-starcoder2 | 50 |
231728584 | # -*- coding: utf-8 -*-
# Scrapy settings for kindle project
#
# For simplicity, this file contains only the most important settings by
# default. All the other settings are documented here:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
#
BOT_NAME = 'kindle'
SPIDER_MODULES = ['kindle.spiders']
NEWSPID... | null | scrapy/kindle/settings.py | settings.py | py | 1,223 | python | en | code | null | code-starcoder2 | 50 |
119745185 | import hashlib,json
from collections import OrderedDict
class My_MerkTree:
def __init__(self,listoftransaction=None):
self.listoftransaction = listoftransaction
self.past_transaction = []
def create_tree(self):
listoftransaction = self.listoftransaction
past_transaction = self.past_transaction
temp_trans... | null | merkle.2.py | merkle.2.py | py | 3,848 | python | en | code | null | code-starcoder2 | 51 |
434005392 | import pandas as pd
from sklearn import svm, metrics
or_input = [
[1,0,1],
[0,1,1],
[0,0,0],
[1,1,1],
[1,0,1],
[0,1,1],
[0,0,0],
[1,1,1],
[0,0,0],
[1,1,0],
]
or_df = pd.DataFrame(or_input)
or_data = or_df.ix[:, 0:1]
or_label = or_df.ix[:, 2]
clf = svm.SVC()
clf.fit(or_data, or... | null | 04_AI/1_Machine_Learning/150_or_train.py | 150_or_train.py | py | 504 | python | en | code | null | code-starcoder2 | 51 |
281551642 | '''DAILY TICKETS SENDING TO A WHATSAPP GROUP'''
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.web... | null | whatsapp.py | whatsapp.py | py | 3,890 | python | en | code | null | code-starcoder2 | 51 |
137754772 | '''
Created on Oct 17, 2019
@author: kerrylu
'''
import math
def distance(a,b):
"""
Parameters a and b are both 2-tuples
calculate and return distance between
points a and b
"""
return math.sqrt((a[0]-b[0])**2 + (a[1]-b[1])**2)
def minDistance(points):
"""
points (list of tuple... | null | Lab07/minDistance.py | minDistance.py | py | 1,063 | python | en | code | null | code-starcoder2 | 51 |
79959994 | from __future__ import print_function
import tensorflow as tf
import numpy as np
from argparse import ArgumentParser
import os
import cv2
import sys
from yolo_model import YOLOModel
from rotation_invariance_model import RotationalInvarianceModel
def main():
parser = ArgumentParser()
parser.add_argument('--input... | null | rotational-invariance/yolo_inference.py | yolo_inference.py | py | 3,614 | python | en | code | null | code-starcoder2 | 51 |
452260426 |
# 导入socket这个库
import socket
# 创建一个socket对象
s = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
# 开始建立TCP连接
s.connect(("127.0.0.1",8888))
# 接收数据
buffer = []
d = s.recv(1024)
buffer.append(d)
# 把字节连接起来
data = b''.join(buffer)
print(data)
# 关闭连接
s.close() | null | 程序/3.py | 3.py | py | 321 | python | en | code | null | code-starcoder2 | 51 |
232442902 | #! /usr/bin/env python3
import vcf
import httplib2
import json
__author__ = 'Gerhard Bilek'
##
##
## Aim of this assignment is to annotate the variants with various attributes
## We will use the API provided by "myvariant.info" - more information here: https://docs.myvariant.info
## NOTE NOTE! - check here for hg38 ... | null | assignment3.py | assignment3.py | py | 5,772 | python | en | code | null | code-starcoder2 | 51 |
653446250 | import subprocess
import numpy as np
import os
def SplitType(csv_flag):
if(csv_flag):
return ","
else:
return " "
def OpenTUMPose(pose_path,csv_flag):
Pose = list()
with open(pose_path,encoding="utf-8") as f:
for line in f.readlines():
line=line.strip('\n')
... | null | EUROC/evaluation.py | evaluation.py | py | 3,942 | python | en | code | null | code-starcoder2 | 51 |
187513857 | import sublime
import sublime_plugin
import os
import golangconfig
from .gotools_util import Buffers
from .gotools_util import GoBuffers
from .gotools_util import Logger
from .gotools_util import ToolRunner
class GotoolsGuruCommand(sublime_plugin.TextCommand):
def is_enabled(self):
return GoBuffers.is_go_source... | null | gotools_guru.py | gotools_guru.py | py | 2,927 | python | en | code | null | code-starcoder2 | 51 |
606287825 | import RPi.GPIO as GPIO
import threading
import time
RELEASE_REVOLUTIONS = 2
class Motor(threading.Thread):
def __init__(self, write_pin, read_pin):
threading.Thread.__init__(self)
self.motor_write_pin = write_pin
self.motor_read_pin = read_pin
self.gpio_setup()
self.revolu... | null | Code/Backend/helpers/Motor.py | Motor.py | py | 1,310 | python | en | code | null | code-starcoder2 | 51 |
428445231 | def solution(array, commands):
answer = []
arr = []
for i in range(len(commands)):
arr = array
arr = arr[commands[i][0]-1:commands[i][1]]
arr.sort()
#print(arr)
answer.append(arr[commands[i][2]-1])
return answer | null | 프로그래머스/정렬_K번째수/K번째 수.py | K번째 수.py | py | 277 | python | en | code | null | code-starcoder2 | 51 |
77599074 | import sys
import csv
import math
import os
def ReadFile (filename = "C:/Users/VictorKiraydt/Documents/git/filmopoisk/server/resources/ratings.csv"):
#filename = os.path.dirname(os.path.abspath("../resources/ratings.csv")) + "\\ratings.csv"
f = open (filename)
r = csv.reader (f)
mentions = dict()
i... | null | server/python/collaborativeFiltering.py | collaborativeFiltering.py | py | 2,171 | python | en | code | null | code-starcoder2 | 51 |
427506636 | import numpy as np
import cv2
from matplotlib import pyplot as plt
"""
ORB是一种想要代替SIFT和SURF的算法，它更快。
1 FAST features from accelerated segment test，绘制16像素的圆
2 BRIEF Binary Robust Independt Elementary Features
3 暴力匹配
"""
img1 = cv2.imread('4.jpeg', 0)
img2 = cv2.imread('5.jpeg', 0)
orb = cv2.ORB_create()
kp1, des1 = ... | null | 读书笔记《opencv3 计算机视觉 python语言实现》/第6章图像检索/6.1.4_orb.py | 6.1.4_orb.py | py | 694 | python | en | code | null | code-starcoder2 | 51 |
439284625 | # A function named unique_common that accepts two lists both of which
# contain integers as parameters and returns a sorted list (ascending
# order) which contains unique common elements from both the lists. If
# there are no common elements between the two lists, then your function
# should return the keyword None... | null | 09 - Midterm Exam/08 Midterm Exam, Part 8 (Unique Common Elements).py | 08 Midterm Exam, Part 8 (Unique Common Elements).py | py | 1,606 | python | en | code | null | code-starcoder2 | 50 |
645699035 | ## Tickets File
def insertTickets(filetype, json, cursor, conn, uid):
if (filetype == 'tickets'):
featureAttrs = {'tickets', 'timestamp', 'uid'}
cnt = 0
tblName = 'tickets'
cntattr = 0
keytypevals = {}
values = []
for tis in featureAttrs:
keytypevals,values = appendJsonKey(json, tis, keytypevals, valu... | null | scripts/betterX_attributes_interactive.py | betterX_attributes_interactive.py | py | 25,968 | python | en | code | null | code-starcoder2 | 50 |
73411396 | # Day 5: Poisson Distribution 2 - 포아송 분포
# 특정 사건에 대한 기대값을 람다 l로 정의할때, 특정 사건이 k번 발생할 확률 분포
a, b = map(float, input().split())
result1 = 160 + 40*(a + a**2)
result2 = 128 + 40*(b + b**2)
print(round(result1, 3))
print(round(result2, 3))
| null | hackerrank/statistics/5. poisson_distribution_2.py | 5. poisson_distribution_2.py | py | 310 | python | en | code | null | code-starcoder2 | 50 |
634859315 | distancias = [
("Alabaster", "Birmingham", 24),
("Alabaster", "Montgomery", 71),
("Birmingham", "Huntsville", 103),
("Birmingham","Tuscaloosa", 59),
("Demopolis","Mobile", 141),
("Demopolis","Montgomery", 101),
("Demopolis","Tuscaloosa", 65),
("Mobile","Montgomery", 169),
("Montgomery","Tuscaloosa", 134)
]
... | null | python_stuff/ex5.py | ex5.py | py | 2,812 | python | en | code | null | code-starcoder2 | 50 |
69304178 | import itertools
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.externals.joblib import delayed, Parallel
from sklearn.utils import gen_even_slices
from ..base import BaseDetector
from ..utils import timeit, OneDimArray, TwoDimArray
__all__ = ['FastABOD']
def approximate_abof(
X... | null | kenchi/outlier_detection/angle_based.py | angle_based.py | py | 4,091 | python | en | code | null | code-starcoder2 | 50 |
162301565 | '''
Handlers for AJAX (Javascript) functions used in the web interface to start
experiments and train BMI decoders
'''
import json, datetime
import logging
import io, traceback
import numpy as np
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.db.models import Prote... | null | db/tracker/ajax.py | ajax.py | py | 24,165 | python | en | code | null | code-starcoder2 | 50 |
501437840 | # -*- coding: utf-8 -*-
from django import forms
from django.utils.translation import ugettext_lazy as _
from .models import( Column,
DJANGOCMS_GRID_LG_CHOICES,
DJANGOCMS_GRID_MD_CHOICES,
DJANGOCMS_GRID_SM_CHOICES,
DJANGOCMS_GRID_XS_CHO... | null | djangocms_bootstrap3/forms.py | forms.py | py | 2,012 | python | en | code | null | code-starcoder2 | 50 |
123570584 | # A function which accepts an input string consisting of alphabetic characters
# and spaces and returns the string with all the spaces removed. Do NOT use any
# string methods for this problem.
# method 1
def Remove_All_Spaces(input_str):
new_str = ""
for chara in input_str:
if ord(chara) == ord(" ")... | null | 10 - Week 6/02 String Methods/10 Strings Functions Exercise 4 (Remove All Spaces).py | 10 Strings Functions Exercise 4 (Remove All Spaces).py | py | 719 | python | en | code | null | code-starcoder2 | 50 |
588713837 | from __future__ import division
from bokeh.plotting import cursession, figure, output_server, output_notebook, show
from copy import copy
from keras.callbacks import Callback
from numpy import inf, nan
from os import _exit
from Print import printflush
# The following defines a Class object that monitors and records
#... | null | Programming Scripts/zzz Utility Code/Python/KerasTrainingMonitor.py | KerasTrainingMonitor.py | py | 5,998 | python | en | code | null | code-starcoder2 | 51 |
44860443 | from __future__ import print_function
import errno
import os
import numpy as np
from PIL import Image
import torch
import torch.nn as nn
EPS = 1e-7
def assert_eq(real, expected):
assert real == expected, '%s (true) vs %s (expected)' % (real, expected)
def assert_array_eq(real, expected):
assert (np.abs(r... | null | utils.py | utils.py | py | 4,690 | python | en | code | null | code-starcoder2 | 51 |
28841343 | from typing import Dict
import numpy
from overrides import overrides
from allennlp.data.fields.field import Field
class ArrayField(Field[numpy.ndarray]):
"""
A class representing an array, which could have arbitrary dimensions.
A batch of these arrays are padded to the max dimension length in the batch
... | null | src/allennlp/data/fields/array_field.py | array_field.py | py | 1,616 | python | en | code | null | code-starcoder2 | 51 |
223646032 | import annoy
import numpy as np
import logging
import glob
import re
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class RecommenderVectorIndex(object):
"""Database index for finding nearest neighbors. The rows are float
vectors, such as Word2Vec vectors or some other embedding... | null | django/mapdrive/utils/putin_face_recognition/index.py | index.py | py | 4,923 | python | en | code | null | code-starcoder2 | 51 |
216731355 | import pymysql
class SQL :
def __init__(self, host='192.168.137.172', user='ssu', password='',
db='ssudb', charset='utf8'):
self.connection = pymysql.connect(host=host,
user=user,
password=password,
... | null | ServerSit/odr.py | odr.py | py | 2,282 | python | en | code | null | code-starcoder2 | 51 |
238164153 | '''
Requirments:
python &
> pip install pillow
> pip install matplotlib
> pip install numpy
Run:
> python task1.py path/to/image
'''
import PIL
from PIL import Image
import numpy as np
import itertools
import sys
import os
import matplotlib.pyplot as plt
import mylib
from mylib import BOX
# open image
imag... | null | DIP/LABS/lab08/solution/task2.py | task2.py | py | 1,522 | python | en | code | null | code-starcoder2 | 51 |
145270068 | import os
from telebot import types
import flask
from app.bot_handlers import bot
from app.config import settings
server = flask.Flask(__name__)
@server.route('/' + settings.TOKEN, methods=['POST'])
def get_message():
bot.process_new_updates(
[types.Update.de_json(flask.request.stream.read().decode('ut... | null | run_server.py | run_server.py | py | 754 | python | en | code | null | code-starcoder2 | 51 |
214577347 | #Find and show the sum of all multiples of 3 or 5 less than 1000 (this number is 233168)
sum=int(0)
n=0
while n<1000:
if n%3==0 or n%5==0:
sum=sum+n
n=n+1
print(sum)
| null | Lezione1/Ex5.py | Ex5.py | py | 200 | python | en | code | null | code-starcoder2 | 51 |
370998504 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 15 14:39:29 2019
@author: em812
"""
import pdb
import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
def univariate_tests(
X, y, control='N2', test='ANOVA',
comparison_type='multiclass',
multitest_corr... | null | tierpsytools/analysis/statistical_tests.py | statistical_tests.py | py | 12,041 | python | en | code | null | code-starcoder2 | 51 |
630205264 | import pickle
import numpy as np
with open('./bangalore/bangalore.pickle','rb') as f:
model = pickle.load(f)
with open('./bangalore/locations.txt','r') as file:
locs = file.read()
l = locs.split(',')
X = np.array(l)
def predict_price(location,sqft,bath,balcony,bhk):
loc_ind = np.where(X == location)[0][... | null | bangalore/usethis.py | usethis.py | py | 503 | python | en | code | null | code-starcoder2 | 51 |
244013969 | import torch
from torch.nn import Linear
from torch_geometric.nn import TransformerConv
class GraphAttentionEmbedding(torch.nn.Module):
def __init__(self, in_channels, out_channels, msg_dim, time_enc):
super(GraphAttentionEmbedding, self).__init__()
self.time_enc = time_enc
edge_dim = msg_... | null | src/layers/gnn.py | gnn.py | py | 1,188 | python | en | code | null | code-starcoder2 | 51 |
397421462 | # -*-coding:Utf-8 -*
# Copyright (c) 2010-2017 LE GOFF Vincent
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
... | null | src/primaires/communication/commandes/messages/lire.py | lire.py | py | 3,878 | python | en | code | null | code-starcoder2 | 51 |
449859332 | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.lines as mlines
from pandas import ExcelWriter
from numpy import interp
import math
def Load_results1(instance,i,n,type_generator):
'''
This function loads the... | null | Results.py | Results.py | py | 75,742 | python | en | code | null | code-starcoder2 | 51 |
50512460 | import socket
import re
def service_client(client_socket,recv_data):
request_lines=recv_data.splitlines()
# 第一行格式为 GET /index.html HTTP/1.1
# GET可能换为POST,PUT,DEL等
# print(recv_data.decode('utf-8'))
# 发送headers
ret=re.match(r'[^/]+(/[^ ]*)',request_lines[0])
if ret:
file_name=ret.gro... | null | python-learn/http/http_server6_noblocking.py | http_server6_noblocking.py | py | 2,568 | python | en | code | null | code-starcoder2 | 51 |
338464965 | import unittest
from array_splitter import split
class TestArraySplitter(unittest.TestCase):
def test_split_should_return_empty_set_if_there_is_no_valid_splitting(self):
# given
array = ['a', 'b', 'c']
GROUP_COUNT_TOO_MANY = len(array) + 1
expected = {}
# when
act... | null | basics/recursion/src/test_array_splitter.py | test_array_splitter.py | py | 718 | python | en | code | null | code-starcoder2 | 51 |
445510582 | import tensorflow as tf
from functools import partial
from sys import stdout
from sklearn.model_selection import KFold
import time
from tensorflow.python.client import timeline
from noise_models_and_integration import *
def fidelity_cost_fn(network,y_, learning_rate, params, n_ts, evo_time,dim, noise_name):
tmp_... | null | architecture.py | architecture.py | py | 6,851 | python | en | code | null | code-starcoder2 | 51 |
331807531 | # import numpy as np
# from keras.models import Sequential
# from keras.layers import Dense, Dropout, Flatten
# from keras.layers import Convolution2D, MaxPooling2D
# np.random.seed(42) # set deterministic reproducibility
import image
from log import debug
from keras.models import model_from_json
from multiclasshel... | null | src/python/wswtm.py | wswtm.py | py | 2,215 | python | en | code | null | code-starcoder2 | 51 |
399666237 | import pygame
import board
from pygame.locals import *
width = 700
height = 600
def start():
pygame.init()
screen = pygame.display.set_mode((width, height))
game_loop(screen)
pygame.quit()
def game_loop(screen):
game_board = board.Board()
colors = {0: (255, 255, 255), 1: (200, 0, 0), 2: (25... | null | UI.py | UI.py | py | 1,500 | python | en | code | null | code-starcoder2 | 51 |
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