seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
15224340627 | import re
import requests
from json import dumps
from .NotifyBase import NotifyBase
from ..common import NotifyType
from ..utils import is_phone_no
from ..utils import parse_phone_no, parse_bool
from ..utils import validate_regex
from ..AppriseLocale import gettext_lazy as _
class MSG91PayloadField:
"""
Ident... | caronc/apprise | apprise/plugins/NotifyMSG91.py | NotifyMSG91.py | py | 10,917 | python | en | code | 8,936 | github-code | 21 | [
{
"api_name": "NotifyBase.NotifyBase",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "NotifyBase.Notify... |
18027783215 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import signal
import datetime
import time
import requests
import json
from bme280 import BME280
try:
from smbus2 import SMBus
except ImportError:
from smbus import SMBus
EXIT = False
def handler(signum, frame):
global EXIT
EXIT = True
def main():
si... | lets-fiware/lets-fiware.tutorials | raspberrypi/01.context_producer/context_producer.py | context_producer.py | py | 2,913 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "signal.signal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "signal.SIGTERM",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "signal.signal",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"... |
38788022220 | import pyautogui # Biblioteca para manipulação de tela
import time # Biblioteca para manipulação de tempo
pyautogui.PAUSE = 1 # tempo de pausa segundos entre tentativas
from turtle import position # Biblioteca para manipulação de posição
import pandas as pd
import tkinter as tk
import tkinter.messagebox a... | Leocrs/Trabalhos | bot_formulario_cadastro_de_usuarios.py | bot_formulario_cadastro_de_usuarios.py | py | 3,347 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "pyautogui.PAUSE",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pyautogui.write",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyautogui.press",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyautogui.press",... |
43039917097 | import itertools
INF = 10**9
def main():
# N <= 10なので、N!ってそんなに大きくない
n = int(input())
A = [list(map(int, input().split())) for _ in range(n)]
m = int(input())
ng_list = [set() for _ in range(n+1)]
for _ in range(m):
x, y = map(int, input().split())
x -= 1
y -= 1
... | batamorphism/coding | Python/AtCoder/old/typical90_af_1114.py | typical90_af_1114.py | py | 1,022 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.permutations",
"line_number": 19,
"usage_type": "call"
}
] |
43726792279 | '''
@package msmscmp.py
compoundspectradialog.py was writen by Giuseppe Marco Randazzo <gmrandazzo@gmail.com>
and is distributed under LGPL version 3
Geneve August 2017
'''
from PyQt5 import *
from PyQt5 import *
from gui_msmscomparissondialog import Ui_MSMSComparissonDialog
from matplotlib.backends.backend_qt5agg ... | gmrandazzo/MsMsSpectralAnalysis | gui/msmscomparissondialog.py | msmscomparissondialog.py | py | 4,465 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line... |
18500900414 | #串行更新原则+双层模型1
import random
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import math
import itertools as it
from matplotlib.colors import ListedColormap, BoundaryNorm
from matplotlib import animation
import moviepy.editor as mp
import argparse
import pandas as pd
from matplotlib impor... | fangshuyi/Pedestrian-route-choice | 双层模型1/peds_choice1.py | peds_choice1.py | py | 27,658 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "itertools.chain",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "itertools.pro... |
17500785316 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn import model_selection
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Flatten, Conv1D
from tensorflow.keras.layers import Dense, Activation, Dropout
from tensorflow.keras.layers ... | Epkkc/II-Lab | Lab4.py | Lab4.py | py | 12,285 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "numpy.random.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
39109832384 | from __future__ import annotations
import tiledb
import logging
import logging.config
import pandas as pd
import numpy as np
from adit.config import Config
import adit.constants as const
from adit.utils import *
__all__ = ['TileDBController']
class TileDBController:
_INSTANCE = None
META_BUCKET = "s3://ad... | trinhtrannp/adit | adit/controllers/tiledb_controller.py | tiledb_controller.py | py | 10,218 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "adit.config.Config.instance",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "adit.config.Config",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "tile... |
37713305349 | from django.urls import path
from . import views
urlpatterns = [
path("", views.index, name="index"),
path("register", views.register, name="register"),
path("login", views.login, name="login"),
path("logout", views.logout, name="logout"),
path("multiple-datasources", views.data_sources, name="data... | siamtbhuiyan/airstate | air/urls.py | urls.py | py | 846 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
34349253223 | import numpy as np
from flask import Flask
from flask import request
from flask import jsonify
from predict import predict
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
@app.route("/", methods=['GET'])
def welcome():
return jsonify({ 'result': "Welcome to Them dau cho tieng Viet khong da... | quocthoaitran/themdautiengviet-api | client.py | client.py | py | 627 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
... |
1147586671 | # https://school.programmers.co.kr/learn/courses/30/lessons/81302
'''
거리두기 지키면 1, 한명이라도 안지키면 0
'''
from collections import deque
def bfs(place):
#check
start = [] #p가 있는 위치
for i in range(5):
for j in range(5):
if place[i][j] == 'P': #응시자가 안은 자리
start.append([i, j])
... | julia0926/TIL_Algo | Study/KAKAO/Level2/2019_인턴십_거리두기확인하기_2.py | 2019_인턴십_거리두기확인하기_2.py | py | 1,650 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
}
] |
30832694228 | import numpy as np
import statistics as stats
from itertools import repeat
class Tree():
"""
A tree structure with multiple branches at eah node. The default values correspond
to the root node.
Member Variables
-----------------------------
value (float or int) - the data value if a lea... | NicolasHammer/decision-tree-exhibition | from_scratch/decision_tree.py | decision_tree.py | py | 9,414 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
... |
31464524118 | #!/usr/bin/python3
"""System energy modelling and battery lifetime estimation tool.
This is a custom system (and subsystem) energy consumption modelling tool.
It takes as an input a YAML file specifying what components and/or subsystems
are to be included, as well as what power source is used.
Based on that informat... | pipebots/energy_consumption_modelling | scenario_runner.py | scenario_runner.py | py | 23,209 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pint.UnitRegistry",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "yaml.YAMLError",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "pint.UndefinedUn... |
28193677973 | #!/usr/bin/env python
# encoding: utf-8
'''
@author: Brian
@file: ResearchDirectionsByPyEcharts.py
@time: 2020/6/27 15:38
@desc: 对每个城市的高校开设的研究方向进行处理
'''
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import Select
from pyecharts.charts import Lin... | BrainLyh/PSCrawler | ResearchDirectionsByPyEcharts.py | ResearchDirectionsByPyEcharts.py | py | 15,003 | python | zh | code | 1 | github-code | 21 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 31,
"usage_type": "name"
},
{... |
38594277656 | import mpmath
import gaussian_quadrature as gq
def gauss_legendre_quadrature_exact(M):
u = []
c = []
#https://en.wikipedia.org/wiki/Gaussian_quadrature
if M == 1:
u = [mpmath.mpf(0)]
c = [mpmath.mpf(2)]
elif M == 2:
a = mpmath.fdiv(1, mpmath.sqrt(3))
u = [-a, a]
... | ymkoyama/fcmf | test_gaussian_quadrature.py | test_gaussian_quadrature.py | py | 2,886 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mpmath.mpf",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mpmath.mpf",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mpmath.fdiv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mpmath.sqrt",
"line_number": 13... |
25866814348 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
import scrapy
from scrapy import Request
import joblib
from extract_historique import dict_of_version
dict_of_version=joblib.load("fifa20\\spiders\\date.pkl")
class TeamsSpider(scrapy.Spider):
name = 'equipes'
allowed_domains = ['sofifa.com']
... | tripaak/extract_retraitement_carriere | fifa20/spiders/equipes.py | equipes.py | py | 2,653 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "extract_historique.dict_of_version",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "joblib.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "extrac... |
32421714890 | import os
import io
import requests
import json
from datetime import datetime
from PIL import Image, UnidentifiedImageError
from io import BytesIO
from flask import Flask, render_template, request, send_file
from werkzeug.exceptions import BadRequestKeyError
from card_generation_functions import create_card, create_pdf... | ganttArt/PWC_Animal_Card_Automation | main.py | main.py | py | 3,630 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_... |
26809065036 | from kwola.config.config import Configuration
from kwola.components.agents.DeepLearningAgent import DeepLearningAgent
import torch
import torch.distributed
import traceback
def runNeuralNetworkTestOnGPU(gpu, config, verbose=True):
try:
branchSize = 50
agent = DeepLearningAgent(config=config, whic... | genixpro/kwola-enterprise | kwolaenterprise/bin/optimize_model.py | optimize_model.py | py | 2,687 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kwola.components.agents.DeepLearningAgent.DeepLearningAgent",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "kwola.config.config.Configuration.createNewLocalKwolaConfigDir",
... |
34699375723 | """
Python module to read in VDIF data. This module defines the following
classes for storing the VIDF data found in a file:
Frame
object that contains all data associated with a particular DRX frame.
The primary constituents of each frame are:
* FrameHeader - the VDIF frame header object and
* FramePa... | lwa-project/lsl | lsl/reader/vdif.py | vdif.py | py | 19,695 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "lsl.misc.telemetry.track_module",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "lsl.misc.telemetry",
"line_number": 48,
"usage_type": "name"
},
{
"api_name... |
13681692784 | import playsound
from gtts import gTTS
import os
location = os.path.dirname(os.path.abspath(__file__))
def speakLine(input_string):
tts = gTTS(input_string, lang='fi')
audio_file = location + "/s2t-audio.mp3"
tts.save(audio_file)
playsound.playsound(audio_file)
os.remove(audio_file) | vkuosman/SIMA-IPA-Interface | t2s_tester.py | t2s_tester.py | py | 305 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "gtts.gTTS",
"line_numbe... |
70593675252 | """
For panda (two-finger) gripper: pushing, pushing-left, pushing-up, pulling, pulling-left, pulling-up
50% all parts closed, 50% middle (for each part, 50% prob. closed, 50% prob. middle)
Simulate until static before starting
REPLAY
"""
import os
import sys
import shutil
import numpy as np
f... | daerduoCarey/where2act | code/replay_data.py | replay_data.py | py | 6,672 | python | en | code | 83 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "env.Env",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "camera.Camera",
"line_number": 38... |
27712391065 | import json
import requests
# consumindo o api rest do via cep
cep = int(input("Digite um cep: ").strip())
url = 'https://viacep.com.br/ws/'+ str(cep) +'/json/' # url/uri do json (web services)
payload = {}
headers = {}
resultado = ''
requisicao = requests.request('GET',url,data = payload, headers = headers)
print(re... | Gnsoares22/Python-Dojo-Gabriel | cep_api.py | cep_api.py | py | 417 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "requests.request",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
}
] |
20661010851 | ## Builtin
import pathlib
## Builtin: gui
import tkinter as tk, tkinter.ttk as ttk, tkinter.filedialog as tkfiledialog, tkinter.messagebox as tkmessagebox
## Custom Module
import alcustoms
from alcustoms import filemodules
from alcustoms.tkinter import smarttkinter, advancedtkinter
STYLE = {
'Complete.TLabel':{
... | AdamantLife/alcustoms | alcustoms/Programs/FileNameRemover.py | FileNameRemover.py | py | 8,573 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alcustoms.tkinter.smarttkinter.GMMixin",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "alcustoms.tkinter.smarttkinter",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tkinter.ttk.Frame",
"line_number": 19,
"usage_type": "attribut... |
33062534933 | from collections import Counter
from pprint import pprint
print("Задание №1")
file_name = "recipes.txt"
def catalog_reader(file_name):
with open(file_name, encoding='utf-8') as file_obj:
cook_book = {}
dish = {}
s = []
keys = ['ingredient_name', 'quantity', 'measure']
for li... | anfilippov7/Homework-7 | Home work #7.1-2.py | Home work #7.1-2.py | py | 2,784 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pprint.pprint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 78,
"usage_type": "call"
}
] |
21593674111 | import pathlib
import sys
import pygame
from game import *
from network_utils import Client, Server
def redirect(return_value):
if return_value is None:
single_game()
exit(0)
if isinstance(return_value, Client):
client_game(return_value)
exit(0)
if isinstance(return_value... | AshFungor/better-with-your-friend | main.py | main.py | py | 1,004 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "network_utils.Client",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "network_utils.Server",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.pa... |
17093021583 | from decision_tree_from_scratch import DecisionTreeClassifier
from decoding_sklearn_functions.helper import accuracy_score
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
import numpy as np
from scipy import stats
dataset = load_iris()
class RandomForestClassifier1:
def ... | johnjagu25/ML-Algo-from-scratch | randomforest_from_scratch.py | randomforest_from_scratch.py | py | 1,865 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "deci... |
86572321077 | from flask import Flask, jsonify, request
from transformers import pipeline
from youtube_transcript_api import YouTubeTranscriptApi
from os import environ
summarizer= pipeline('summarization')
app = Flask(__name__)
def getTranscript(video_id):
summarized_text = "Invalid URL"
try:
transcript = Yo... | AIBrainAISchool/Videosummary | Videosummary/main.py | main.py | py | 1,369 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "transformers.pipeline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "youtube_transcript_api.YouTubeTranscriptApi.get_transcript",
"line_number": 14,
"usage_type": "call"
},... |
43876426391 | # coding: utf-8
import torch
from torch.utils.data import DataLoader
import torchvision.transforms as transforms
import numpy as np
import os
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import sys
sys.path.append("..")
from utils.utils import My... | flyingbird93/Aesthetic-Aessessment | main.py | main.py | py | 11,150 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "data.dataset.DogCat",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Da... |
2999603347 | import torch
from torch.autograd import Variable as V
import torch.nn.functional as F
# Average meter counter
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
sel... | KeremTurgutlu/deeplearning | datasciencebowl2018/model/classifier.py | classifier.py | py | 6,020 | python | en | code | 160 | github-code | 21 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "torch... |
24928389103 | from pathlib import PosixPath
from sqlite3.dbapi2 import Cursor, connect
from flask import Flask,render_template,request,redirect,session,url_for
import sqlite3
from PIL import Image
from datetime import date
from recommend import recommendUser
from geopy.geocoders import Nominatim
from TravelSalesman import fetchTrave... | kabs31/hodomate | main.py | main.py | py | 23,002 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.session",... |
38322246114 | import numpy as np
from dataset import get_dataset, get_handler
from network import get_net
from torchvision import transforms
import torch
from train import Strategy
class RandomSampling(Strategy):
def __init__(self, X, Y, idxs_lb, net, handler, args):
super(RandomSampling, self).__init__(X, Y, idxs_lb, n... | Kartos102/artificial-intelligence | goverment_trace/main.py | main.py | py | 2,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "train.Strategy",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.random.choice",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
... |
1325548919 | import re
from collections import OrderedDict
from typing import Union, Pattern, Iterator
from nltk import sent_tokenize, word_tokenize
from speech.tps.tps.utils import split_to_tokens
from speech.tps.tps.modules.ssml.elements import Pause
from speech.tps.tps.symbols import separator, shields
char_map = OrderedDict... | wladradchenko/wunjo.wladradchenko.ru | portable/src/speech/tps/tps/modules/processor.py | processor.py | py | 9,728 | python | en | code | 404 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "speech.tps.tps.modules.ssml.elements.Pause.eos",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "speech.tps.tps.modules.ssml.elements.Pause",
"line_number": 13,
... |
30211234376 | ##These are my personal machine learning import statements, they cover most of what I regularly need for CV
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import torch
import torchvision
import torchvision.transforms as transforms
import torch.utils.data.dataloader as DataLoader
import torch.uti... | brian-loos/Intership-Projects | DCGAN/main.py | main.py | py | 8,426 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torchvision.tran... |
15933825261 |
import collections
import datetime
import warnings
from bson.code import Code
from bson.objectid import ObjectId
from bson.py3compat import (_unicode,
integer_types,
string_type)
from bson.raw_bson import RawBSONDocument
from bson.codec_options import CodecOption... | Mockingbird01001/NLG-code-generator-LSTM | work/data/data_model/batch_1/167.py.transformed.py.transformed.py | 167.py.transformed.py.transformed.py | py | 48,657 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "bson.son.SON",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "bson.son.SON",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "pymongo.common.Base... |
30126184641 | # Decrypts a file using AES GCM (ASE128, 96-bit nonce for NIST SP 800-38D compatibility).
# The key will be prompted for if this script is executed directly. The encrypted file
# will be removed.
#
# Usage: python decrypt_file.py <file_name>
import os
import sys
import json
from base64 import b64decode
from Cryptodome... | tjdistler/dev | file_utils/crypto/decrypt_file.py | decrypt_file.py | py | 2,634 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"... |
27941259130 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
properties module
"""
__author__ = 'Janus Juul Eriksen, Technical University of Denmark, DK'
__maintainer__ = 'Janus Juul Eriksen'
__email__ = 'janus@kemi.dtu.dk'
__status__ = 'Development'
import numpy as np
from itertools import starmap
from pyscf import gto, scf, d... | januseriksen/decodense | decodense/properties.py | properties.py | py | 24,914 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "pyscf.gto.Mole",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pyscf.gto",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pyscf.scf.hf",
"line_n... |
19963913404 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('ships', '0002_auto_20150302_0915'),
]
operations = [
migrations.CreateModel(
name='Module',
fields=[... | ross128/stg | ships/migrations/0003_ship_modules.py | 0003_ship_modules.py | py | 1,287 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
40875276696 | import sys
from collections import deque
INT_MAX = sys.maxsize
# input and initial condition
n, h, m = map(int, input().split())
grid = [
list(map(int, input().split()))
for _ in range(n)
]
visited = [
[0 for _ in range(n)]
for _ in range(n)
]
# minimal distance to arrive
step = [
[0 for _ in r... | superchd/python | bfs/rain.py | rain.py | py | 1,742 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.maxsize",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 36,
"usage_type": "call"
}
] |
3579959913 | from urllib.error import URLError
from urllib.request import urlopen, Request
import websockets
import asyncio
import sys
class MissingArguments(Exception):
def __init__(self):
super().__init__("There are missing arguments. Please use the format:\n cliweb.py [ws/http] [url]")
class UnknownURLScheme(Exce... | iiestIT/CLIWeb | CLIWeb/cliweb.py | cliweb.py | py | 1,889 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "urllib.request.Request",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "urllib.error.URLError",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "w... |
9667037347 | """
Get alternative splicing events. For each splice-site (SD or SA), all paired splice sites are collected.
The most abundant is classified as typical, whereas the remaining pairs are either 'short' or 'long' relative to the canonical.
usage:
python get_alternative_splicing.py -f *.spliced.bed > alternative_splicin... | ncrnalab/pyutils | get_alternative_splicing.py | get_alternative_splicing.py | py | 3,074 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 29,
"usage_type": "call"
},
{
"api_name"... |
16322161813 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import astropy.units as u
models = ["log_uniform", "qcflag_4", "alpha_0.25", "alpha_5"]
model_names = ["fiducial", r"q3", r"$\alpha25$", r"$\alpha5$"]
colors = sns.color_palette("mako", n_colors=len(models))
Tobs = 4 * u.yr
... | rodluger/Z-dependent-DWDs | src/figures/model_comp.py | model_comp.py | py | 3,740 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "seaborn.color_palette",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "astropy.units.yr",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
6402894500 | import json
from argparse import ArgumentParser
from typing import Any, Dict
from loguru import logger
from thesaurus.scraper import UNBISThesaurusScraper
def main(args: Dict[str, Any]) -> None:
"""
Main function
Parameters
----------
`args` : `Dict[str, Any]`
Dictionary of CLI argument... | ClementSicard/un-unbis-thesaurus-scraper | main.py | main.py | py | 1,263 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "thesaurus.scraper.UNBISThesaurusScraper",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argpar... |
28397426644 | #!/usr/bin/env python3
"""
File: Destination.py
"""
from typing import Optional
from datetime import datetime
try:
from common import BASE_URL, __type_error__, convert_to_utc, requests_get
import common
from Exceptions import DestinationError, ParameterError, InvalidServerResponse
except (ModuleNotFound... | pnearing/PyPapertrail | src/PyPapertrail/Destination.py | Destination.py | py | 9,272 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyPapertrail.common.__version_check__",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyPapertrail.common",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Self",
"line_number": 27,
"usage_type": "name"
},
{
"... |
1870050821 | from unittest.test.test_result import __init__
from django.test import TestCase
from curriculum.models import *
import datetime
# Create your tests here.
class IdentityTestCase(TestCase):
def setUp(self):
# skill = Skill.objects.create(
# sector="Informatica",
# skill="Jenkins",
... | danielRamon/CV_Generator | curriculum/tests.py | tests.py | py | 1,216 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "datetime.d... |
74943573492 | from time import time, sleep
from multiprocessing import Process
def download_something(file_name):
if file_name == 'd1':
down_time = 3
elif file_name == 'd2':
down_time = 5
else:
down_time = 10
sleep(down_time)
print(f'下载{file_name}，耗时:{down_time}')
def downlo... | hanxu11580/pyutils | Multiprocess/test_1.py | test_1.py | py | 990 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.time"... |
10869819563 | import pandas as pd
import subprocess
import re
import argparse
from collections import defaultdict
config = {
(1, 26): "FR1",
(27, 38): "CDR1",
(39, 55): "FR2",
(56, 65): "CDR2",
(66, 104): "FR3",
(105, 117): "CDR3",
(118, 129): "FR4",
}
def extract_sequences(input_file):
input_excel... | mwangGitHub/CDR_annotation | optimizeScript/June9_results/dump/script.py | script.py | py | 2,852 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_excel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collections.... |
6206158571 | from collections import defaultdict
import csv
import nltk
def get_stopwords(stopwordFile):
with open(stopwordFile, 'r') as f:
words = f.readlines()
stopwords = [word.replace('\n', '') for word in words]
return stopwords
def read_reviews(reviewsFile):
with open(reviewsFile, 'r') as f:
... | rlee21/snippets | python/nltk_adjectives.py | nltk_adjectives.py | py | 1,527 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.word_tokenize",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "csv.writer",
... |
7539677655 | import os, sys, bottle, bottle_session
import _thread
from bottle import hook, route, request, response, run, get, static_file
lib_path = os.path.abspath('../QtWebApp')
sys.path.append(lib_path)
from WebForm import *
class EnableCors(object):
name = 'enable_cors'
api = 2
def apply(self, fn, context):
... | niconico49/Python | QtWebApp/WebService.py | WebService.py | py | 3,496 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number... |
5790271036 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : inspect-domain-more.py
# Author : Jiayuan Mao
# Email : maojiayuan@gmail.com
# Date : 04/05/2023
#
# This file is part of Jacinle.
# Distributed under terms of the MIT license.
import csv
import traceback
from dataclasses import dataclass, field
import jac... | joyhsu0504/LEFT | scripts/inspect-domain-more.py | inspect-domain-more.py | py | 8,420 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "jacinle.JacArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dataclasses.field",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "lef... |
23149198983 | from faker import Faker
from app.models import BotUser, Category, Comment, Order, OrderFile, OrderHistory, Subcategory
from googletrans import Translator
def translate_en_ru(text: str) -> str:
translator = Translator()
return translator.translate(text, dest='ru').text
def translate_en_uz(text: str) -> str:
... | komronbek-tufliyev/xullasdee | app/fake_data_generator.py | fake_data_generator.py | py | 4,275 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "googletrans.Translator",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "googletrans.Translator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "googletrans.Translator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "g... |
74363579252 | from mashumaro.mixins.json import DataClassJSONMixin
from dataclasses import dataclass
from flytekit.types.file import FlyteFile
from flytekit.types.directory import FlyteDirectory
from flytekit import task
from config import base_image, logger
from pathlib import Path
from typing import List, Union, Any
@dataclass
c... | unionai-oss/variant-discovery | src/tasks/sample_types.py | sample_types.py | py | 4,959 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "mashumaro.mixins.json.DataClassJSONMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flytekit.types.file.FlyteFile",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "flytekit.types.file.FlyteFile",
"line_number": 27,
"usage_type": "... |
26808492061 | import logging
from ovs.dal.hybrids.albabackend import AlbaBackend
from ovs.dal.hybrids.storagerouter import StorageRouter
from ovs.dal.lists.albabackendlist import AlbaBackendList
from ovs.dal.lists.storagedriverlist import StorageDriverList
from ovs.dal.lists.vpoollist import VPoolList
from ovs.extensions.generic.con... | openvstorage/framework-alba-plugin | ovs/lib/albastatsmonkey.py | albastatsmonkey.py | py | 18,288 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "ovs_extensions.monitoring.statsmonkey.StatsMonkey",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ovs.dal.hybrids.albabackend.AlbaBackend",
"line_number": 28,
"usage_t... |
19533166394 | import pyaudio
import socket
import numpy as np
import pickle
import time
import keyboard
class AudioClient:
def __init__(self, port, ip, chunk=1024, fs=16000, p=pyaudio.PyAudio):
self.port = port
self.ip = ip
self.client_socket = None
self.chunk = 1024
self.fs = 16000
... | bcw4045/socket_programming_audio | client.py | client.py | py | 5,529 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
... |
27168134133 | import numpy as np
#import seaborn as sns
import matplotlib
import torch
from importlib import reload
from PIL import Image
import pandas as pd
import os
import sys
# use relative imports
project_root_dir = '../../'
sys.path.append(os.path.join(project_root_dir, 'code'))
from make_subset_batches import subset_set, su... | estherrolf/representation-matters | cifar4/scripts/process_cifar4_data.py | process_cifar4_data.py | py | 3,333 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
30302818110 | # Harris Corner detector
# Step 1: which windows has high intesity variation at direction X and Y
# Step 2: for each window found, compute a score R
# Step 3: apply threshold to each window
import cv2
import numpy as np
img = cv2.imread('chessboard.png')
cv2.imshow('img', img)
gray = cv2.cvtColor(img, cv2... | happymondaynkanta/Object-Tracking-and-Detection-Using-OpenCV | Object Detection in Motion/100_harris_corner_detector.py | 100_harris_corner_detector.py | py | 781 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numb... |
73547381172 | from pymongo import MongoClient
from consumers.Consumer import Consumer
import time
class MongoAgent(Consumer):
def __init__(self, sleep_time=0.2):
self.client = MongoClient("localhost", 27017)
self.db = None
self.events = None
self.sleep_time = sleep_time
def startDB(self, da... | LynosSorien/SpyderPyCollectorEngine | consumers/mongodb/MongoAgent.py | MongoAgent.py | py | 1,047 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "consumers.Consumer.Consumer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",... |
33663696137 | """
Django settings for nwod_characters project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR,... | AncientSwordRage/nWoD-db | nwod_characters/settings.py | settings.py | py | 2,849 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
33732169912 | """YAML reporters."""
from __future__ import annotations
from typing import Any
from project_config.reporters.base import BaseColorReporter, BaseReporter
from project_config.serializers import yaml
class YamlReporter(BaseReporter):
"""Black/white reporter in YAML format."""
def generate_errors_report(self... | mondeja/project-config | src/project_config/reporters/yaml.py | yaml.py | py | 6,858 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "project_config.reporters.base.BaseReporter",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "project_config.serializers.yaml.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "project_config.serializers.yaml",
"line_number": 19,
"us... |
74980227893 | from django.db import models
from django.contrib.auth.models import User
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes.fields import GenericRelation
from django.contrib.postgres.fields import ArrayField
from... | superkingyj/django_blog_project-OneNaBle | blog_project/blog_app/models.py | models.py | py | 2,248 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
18066425063 | import numpy as np
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
import cv2
model = load_model("C:/Users/KEREM/Desktop/Python Projects/Projects/Finger_count/my_model.h5")
cap = cv2.VideoCapture(0)
cv2.namedWindow('Test')
cv2.namedWindow('Smaller Test')
w... | KeremAydin98/finger-count | finger_count/evaluate-with-video.py | evaluate-with-video.py | py | 1,152 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2... |
2772451671 | import pkgutil
import os
import re as regex
"""
Description:: Initialize the blueprints inside in the root folder
and sub folder
Requirements:: all directories and sub directories must consist of __init__.py
to be considered as a package.
:: param app = sanic module
files are ignore... | aiscenblue/sanic-framework-starterkit | module/__init__.py | __init__.py | py | 2,434 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "pkgutil.walk_packages",
"li... |
74987617012 | import numpy as np
import scipy.stats as stats
import scipy.optimize as optimize
import matplotlib.pyplot as plt
from signaldetection import SignalDetection
class Metropolis:
def __init__(self, logTarget, initialState):
self.logTarget = logTarget
self.current = initialState
self.samples = ... | kvarieur/cogs106repo | Metropolis.py | Metropolis.py | py | 4,645 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "numpy.log",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal"... |
8843066130 | #!/usr/bin/python
from numpy import *
import numpy as np
from matplotlib.ticker import ScalarFormatter, FormatStrFormatter
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
from pylab import mpl
from dolfin import *
def update_length(mesh, u, dt):
"""
evolve the ice length.
"""
x0 = mes... | pf4d/ice_profile | ice_profile_mm.py | ice_profile_mm.py | py | 11,206 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pylab.mpl.rcParams",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pylab.mpl",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pylab.mpl.rcParams",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pylab.mpl",... |
27532467811 | import numpy as np
import tensorflow as tf
import cv2
def get_dims_x64(dims, multiple=64):
dims = dims + (multiple - 1)
floor_value = dims // multiple
dims = floor_value * multiple
return dims
def get_transformation_size(input_size, dims1, dims2):
'''
Resize the short side of the input image... | Heracraft/paz | examples/human_pose_2d/backend/preprocess.py | preprocess.py | py | 3,098 | python | en | code | null | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 55... |
951388749 | '''
For foreign key.
If you need to create a relationship on a model that has not yet been defined, you can use the name of the model, rather than the model object itself:
https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.ForeignKey
'''
from django.contrib.auth.models import AbstractUser
from ... | ArthurAllilaire/CS50-Web-programming | commerce/auctions/models.py | models.py | py | 3,941 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.db.models.ManyToManyField",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
... |
4581051565 | #!/usr/bin/env python2
import argparse
import pandas as pd
import re
import sys
from tabulate import tabulate
def display_test_metrics(test_log_path, output_path=None, table=True, table_format='psql'):
"""
Display the BLEU-4 and the F-Measure of the ROUGE-4
for the input test log file given by the user, ... | nepiskopos/templates_to_language_evaluation | w2b/display_test_metrics.py | display_test_metrics.py | py | 3,910 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.findall",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 49,
... |
42099587152 | #%%
import cv2
import numpy as np
import matplotlib.pyplot as plt
import math
from scipy.ndimage import interpolation as inter
def rotation_resize(img):
if np.array(img).shape[0] < np.array(img).shape[1]:
img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)
return cv2.resize(img,dsize=(400,600),interpo... | swha0105/improve_ocr_project | preprocessing.py | preprocessing.py | py | 4,427 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.rotate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.ROTATE_90_CLOCKWISE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"... |
24781953577 | import imageio
import numpy as np
Mod = 256
#-------------Decrypting-------------
Enc = imageio.imread('Encrypted.png') #Reading Encrypted Image to Decrypt
# Loading the key
A = imageio.imread('Key.png')
l = A[-1][0] * Mod + A[-1][1] # The length of the original image
w = A[-1][2] * Mod + A[-... | KhaledMoataz/Hill-Cipher---Image-Encryption | Decrypt.py | Decrypt.py | py | 936 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "imageio.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "imageio.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_num... |
10350961603 | import json
import maya.cmds as cmds
import math
import pymel
jsonData = {}
jsonData['GameObjects'] = []
selected_obj = cmds.ls(sl=True, type='transform')
for x in range(0, len(selected_obj)):
node = pymel.core.ls(sl=1)[x]
translation = cmds.xform(selected_obj[x], query=True, translation=True, worldSpace=True)
... | xermaster123/Mach-Speed | AssetPipeline/exportGameScene.py | exportGameScene.py | py | 1,603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "maya.cmds.ls",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pymel.core.ls",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymel.core",
"line_number": 11... |
20582516480 | import math
import torch
import torch_lightning as pl
from torch import nn
from torch.autograd import Function
from torch.nn import functional as F
from torch.optim import Adam
from torch_lightning import Trainer
from ..utils.misc import get_batch
# MINE: Mutual Information Neural Estimation
# https://arxiv.org/abs/18... | shinobu-x/reinforcement-learning | estimators/mutual_information_Estimatitor.py | mutual_information_Estimatitor.py | py | 3,443 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.logsumexp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Function",
"lin... |
2353529811 | from threading import Thread
from urllib import request
import json
from time import sleep, localtime, strftime, time
from random import random
from urllib.parse import urlencode
from .config import secret_key
import os
cwd = os.getcwd()
import logging
saved_config = ['autostudy','aim','automove','interval', 'weapon'... | mingjun97/jx_game_helper | helper/__init__.py | __init__.py | py | 22,259 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_numb... |
19610339720 | from os import getenv
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, to_utc_timestamp, udf
from pyspark.sql.types import TimestampType
import matplotlib.pyplot as plt
import datetime
import binance
import pandas
ApiKey = getenv("BINANCE_API_KEY")
ApiSecret = getenv("BINANCE_API_SECRET")
... | mstrielnikov/stock-price-anaysis | main.py | main.py | py | 1,851 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "binance.Client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.a... |
8763563091 | from imgaug import augmenters as iaa
import numpy as np
from typing import Tuple
from typeguard import typechecked
class SegmentationAugmentor:
def transform_image(self, image: np.ndarray, masks: np.ndarray) -> \
Tuple[np.ndarray, np.ndarray]:
"""
Transforms the input image into its a... | NachbarStrom/python-nachbarstrom-dl-unet | nachbarstrom/img_augmentation/segmentation_augmentor.py | segmentation_augmentor.py | py | 2,380 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "typing.Tuple",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "imgaug.augmenters.S... |
26331936950 | import os.path
from mako.template import Template
from crepehat import Kitchen
from petrified import Widget
class Select(Widget):
options = {}
def __init__(self, *argc, **argv):
self.options = argv.get("options", {})
if 'options' in argv:
del argv['options']
Widget.__in... | hyphyphyph/lascaux | petrified/widgets/select.py | select.py | py | 805 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "petrified.Widget",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "petrified.Widget.__init__",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "petrified.Widget",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "petrified.... |
11473135446 | import requests
from bs4 import BeautifulSoup
import re
import csv
print("************** Step 1 **************")
url = "https://en.m.wikipedia.org/wiki/List_of_Internet_top-level_domains"
r = requests.get(url)
print("Step 1 Status Code: " + str(r.status_code))
print("************** Step 2 **************")
soup = Bea... | nprabhu1/2022F-BIA-660-WZ | Assignment2_NP.py | Assignment2_NP.py | py | 1,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
9151022540 | from selenium import webdriver
import pytest
from pages.base_page import BasePage
from pages.challenging_dom import ChallengingDomPage
@pytest.mark.ui
class Test_Challenging_Dom(BasePage):
def test_challengin_dom(self):
c_d_page = ChallengingDomPage(self.driver)
c_d_page.access_url()
p_s ... | luxmymenon/internet_herokuapp_selenium_python | tests/test_challenging_dom.py | test_challenging_dom.py | py | 674 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pages.base_page.BasePage",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pages.challenging_dom.ChallengingDomPage",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
}
] |
27037233353 | import pandas as pd
import numpy as np
import tensorflow as tf
from transformers import BertTokenizer, TFBertModel
from tensorflow.keras.layers import Dense, Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from sklearn.pre... | dobbytk/NLP_study | Multicampus/NLP/day40/KorNLI(multilingual).py | KorNLI(multilingual).py | py | 4,503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 22,
"usage_type": "call"
},
{
... |
15684709911 | import scipy as sp
import numpy as np
import sklearn.datasets
testinput = "../Data/Test.txt"
traininput = "../Data/Train.txt"
def load_iris_binary():
D, L = sklearn.datasets.load_iris()['data'].T, sklearn.datasets.load_iris()['target']
D = D[:, L != 0] # We remove setosa from D
L = L[L!=0] # We re... | lucaerba/MachineLearningAndPatternRecognition | Project/src/input.py | input.py | py | 1,182 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.datasets.load_iris",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.datasets",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets",
"line_number": 8,
"usage_type": "name"
},
{
"... |
28287230797 | from os.path import join, splitext
from os import walk, system
from collections import OrderedDict
from functools import reduce
from itertools import permutations
import string
import random
import pdb
INVARIANT_PREFACE = 'for Ashton, Lyla, Neomi, Ruth, and Malakai'
INVARIANT_PUBLICATION = 'f379e9385edeef35627a231... | radiganm/arithmetic | generator/pi.py | pi.py | py | 2,087 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.permutations",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 28,
"usage_type": "call"
}
] |
25962772032 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import six
import tensorflow as tf
from edward.util import get_dims, get_session
from edward.models.random_variables import Normal
try:
import pystan
from collections import Ordered... | leezqcst/edward | edward/models/models.py | models.py | py | 13,486 | python | en | code | null | github-code | 21 | [
{
"api_name": "pymc3.inputvars",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pymc3.DictToArrayBijection",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pymc3.ArrayOrdering",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "six.it... |
35308015121 | import math
from abc import ABC, abstractmethod
import torch
class BaseStepSchedule(ABC):
def __init__(self) -> None:
super().__init__()
@abstractmethod
def __call__(self, iteration: int) -> int:
...
class TimestepSchedule(BaseStepSchedule):
def __init__(
self,
train... | ZzAZz4/consistency-point-cloud | src/models/consistency/schedule.py | schedule.py | py | 4,647 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "math.sqrt",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 32... |
73539982133 | ######################################
# Import and initialize the librarys #
######################################
import json
import time
import uuid
from code.api.core import os, log, screens, File
from code.logic.player import Player
from code.logic.board import Board
#################
# Setup logging #
########... | benwoo1110/Ratventure | python/code/logic/playerRank.py | playerRank.py | py | 5,203 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "code.api.core.os.path.basename",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "code.api.core.os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "code.api.core.os",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
16765508870 | from django.http import HttpResponseRedirect
from django.shortcuts import render
from .forms import URLForm
from .models import Contributor, Repo
import requests
def get_url(request):
if request.method == 'POST':
form = URLForm(request.POST)
if form.is_valid():
input_url = form.cleane... | mesodiar/git_project | repo/views.py | views.py | py | 2,219 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "forms.URLForm",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Repo.objects.get_or_create",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Repo.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
6965069440 | from visdom import Visdom
import json
class Visualizer(object):
""" Visualizer
"""
def __init__(self, port='13579', env='main', id=None):
#self.cur_win = {}
self.vis = Visdom(port=port, env=env)
self.id = id
self.env = env
# Restore
#ori_win = self.vis.get_w... | VainF/DeepLabV3Plus-Pytorch | utils/visualizer.py | visualizer.py | py | 2,782 | python | en | code | 1,491 | github-code | 21 | [
{
"api_name": "visdom.Visdom",
"line_number": 9,
"usage_type": "call"
}
] |
8306349174 | import cv2
import inputs
import importlib
import pickle
import DataTransfer
import XboxController
import threading
import socket
from sys import exit
exitThread = None
def main():
# rover and controller ip address
IP = {'rover': 'localhost', 'controller': 'localhost'}
# frame and command tr... | mialbro/socket-car-v1 | controller.py | controller.py | py | 3,739 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "threading.Thread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "socket.socket",
... |
14190928619 | # -*- coding: utf-8 -*-
import json
import redis # pip install redis
import pymysql
def main():
# 指定redis数据库信息
rediscli = redis.StrictRedis(host='10.11.203.144', port = 6379, db = 0)
# 指定mysql数据库
mysqlcli = pymysql.connect(host='127.0.0.1', user='root', passwd='asd19960321', db='my_spider', charset='u... | 497025126/job | Bigwork/save2mysql.py | save2mysql.py | py | 1,586 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "redis.StrictRedis",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pymysql.Error",
"line... |
16381909324 | from django.shortcuts import render
from .models import Personal_info, Profesional_info, educ_info, Projects
def index(request):
personal = Personal_info.objects.all()
info = Profesional_info.objects.all()
educ = educ_info.objects.all()
project = Projects.objects.all()
context = {
'person... | isepulvedamunoz/MyPortfolio | main_page/views.py | views.py | py | 484 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Personal_info.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.Personal_info.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Personal_info",
"line_number": 6,
"usage_type": "name"
},
{
... |
15405923523 | import cv2
import numpy as np
import pyautogui
cam = cv2.VideoCapture(0)
lower_blue = np.array([90, 100, 100])
upper_blue = np.array([130, 255, 255])
lower_red = np.array([0, 100, 100])
upper_red = np.array([10, 255, 255])
lower_green = np.array([35, 100, 100])
upper_green = np.array([85, 255, 255])
# Initialize var... | Rhythmbellic/Computer_vission_mouse | code.py | code.py | py | 3,122 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
8285719478 |
from fastapi import FastAPI, APIRouter, HTTPException, Request
from fastapi.responses import JSONResponse
from fastapi.exceptions import RequestValidationError
from pydantic.error_wrappers import ValidationError
from starlette.middleware.cors import CORSMiddleware
from .config.setting import setting
from .controller.... | Eric54920/download_service | web_api/app.py | app.py | py | 2,653 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "util.log_util.LogUtil.get_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "util.log_util.LogUtil",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 16,
"usage_type": "name"
},
{
"api_name":... |
20277898360 | """
This script can be used to check if TM1py can connect to your TM1 instance
"""
import configparser
import requests
import sys
import json
import getpass
import geocoder
import TM1py
from distutils.util import strtobool
from TM1py.Services import TM1Service, ElementService
from TM1py.Objects import Dimension, Hierar... | cubewise-code/canvas-plus | files/get_weather.py | get_weather.py | py | 3,828 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "distutils.util.strtobool",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "geocoder.ip",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "reques... |
4565422754 | from os.path import exists
import tarfile
import gzip
import lzma
import numpy as np
from scipy.optimize import fmin
import pytest
import astropy.units as u
from .. import utils
from ..modeling import spectra, photometry, physics
from . import settl_cond, mko_filters, hst_calspec
from .settl_cond import BT_SETTL, AMES_... | joseph-long/doodads | doodads/ref/test_settl_cond.py | test_settl_cond.py | py | 13,623 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "settl_cond.BT_SETTL_CIFIST2011_2015_ARCHIVE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
25057221367 | #３行おきに空白行を挿入する
from openpyxl import load_workbook
wb = load_workbook("品目別売上.xlsx")
ws = wb.active
num = 3
start_row = 3
for row_no in range(ws.max_row - num + 1, num + start_row, -num):
ws.insert_rows(row_no)
wb.save("品目別売上_空白行挿入.xlsx") | jun-yoshiyoshi/python_for_excel | insert_row.py | insert_row.py | py | 314 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 5,
"usage_type": "call"
}
] |
10865399889 | # you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
import statistics
def solution(A):
# If there is a statistical mode, USE IT!!
try:
goal = statistics.mode(A)
# Otherwise, try any other number close to the average/mean (simply picking A[0] may fail)
excep... | lopecillo/python | test_tasks/task 2b.py | task 2b.py | py | 828 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "statistics.mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "statistics.median",
"line_number": 16,
"usage_type": "call"
}
] |
13413405725 | from dataclasses import dataclass, field
from pathlib import Path
from zipfile import ZipFile
from app.data.util import download_file, get_file_name_from_url, validate_file
MAX_DOWNLOAD_ATTEMPTS = 5
PARTIAL_FILE_ERROR = "Received fewer bytes than expected"
@dataclass(frozen=True)
class RemoteFileInfo:
url: str
... | a-luna/vig-api | app/data/download_manager.py | download_manager.py | py | 5,362 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.data.util.get_file_name_from_url",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "app.data.util.get_file_name_from_url",
"line_number": 23,
"usage_type": "call"
},
{... |
2999762057 | ### IMPORTS
print('IMPORT\n')
from scipy.io import wavfile
from scipy import signal
import matplotlib.pyplot as plt
import os
import shutil
import numpy as np
import IPython.display as ipd
import librosa
import librosa.display
import pandas as pd
### CREATE TRAIN AND VAL DATA
print('CREATE TRAIN AND VAL DATA\n')
full... | KeremTurgutlu/deeplearning | tensorflow_speech/scripts/prepare_data.py | prepare_data.py | py | 4,132 | python | en | code | 160 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 2... |
403309403 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="livia-ui",
version="0.1.dev62",
author="Fernando Campos Tato, Miguel Reboiro-Jato, Daniel Glez-Peña, Florentino Fdez-Riverola, Rubén Domínguez Carbajales, Hugo López-Fdez, Alba Nogueira-Rodríguez"... | sing-group/livia-ui | setup.py | setup.py | py | 1,644 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
17200411840 | import ctypes
import pyglet.gl as gl
from contextlib import contextmanager
def set_flag(name, value, items):
for item in items:
setattr(item, name, value)
@contextmanager
def profile(perform=True):
if perform:
import io
import pstats
import cProfile
s = io.StringIO()... | ranjian0/triggered_python | core/utils.py | utils.py | py | 2,724 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "io.StringIO",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cProfile.Profile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pstats.Stats",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",... |
39365245107 | import json
import requests
import datetime
def Valida_Contrato(num_contrato):
id_do_cliente = None # esse id é oq vai me permitir fazer alterações em sua conexão no voalle
id_cliente_cria_solicitacao = None
# verifica se o contrato tem somente numeros
valida_numero = str(num_contrato).isnumeric... | strvictor/Projeto_Olt_GBS | voalle.py | voalle.py | py | 6,981 | python | pt | code | 1 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.put",
"line_number":... |
8245283570 | import os
from decimal import Decimal
import numpy as np
from lxml import etree
from hwr.constants import SPLIT, PATH, DATA
from hwr.data.datarep import PointSet, Point
from hwr.decoding.mlf import mlf2txt
# A sample from the IAM online database
class Sample(object):
def __init__(self, xml_path, ground_truth):
... | chunkyjasper/IAMhwr | hwr/data/reader.py | reader.py | py | 6,044 | python | en | code | 24 | github-code | 21 | [
{
"api_name": "hwr.decoding.mlf.mlf2txt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "lxml.etree.XML",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
... |
38183511965 | from __future__ import division
from __future__ import print_function
import argparse
import numpy as np
import torch
import cpp.fpemu as fpemu_cpp
import mpemu
import sys
sys.path.append('../../mpemu')
# importing
from mpemu.qutils import fpemu_device_fn
if torch.cuda.is_available():
import cuda.fpemu as fpe... | IntelLabs/FP8-Emulation-Toolkit | mpemu/pytquant/test.py | test.py | py | 6,025 | python | en | code | 50 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
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