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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
507313209 | import pymysql.cursors
connection = pymysql.connect(host='localhost',
user='root',
password='mcx202PX@P',
db='nse_500',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCu... | null | test3.py | test3.py | py | 1,005 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymysql.cursors.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.cursors",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pym... |
610548235 | from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status
from sqlalchemy.ext.asyncio.session import AsyncSession
from app.database.session import get_async_db_session
from app.exceptions import InvalidContentType, MetadatafilNotFound
from app.routers.dto.Metadata import Metadata
from a... | null | mottak-arkiv-service/app/routers/metadatafil.py | metadatafil.py | py | 2,091 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.UploadFile",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.ext.asyncio.session.AsyncSession",
"line_number": 18,
"usage_type": "name"
},
{
"... |
563347759 | from itertools import repeat
from random import choice
from pprint import pprint
import asyncio
import yaml
from async_timeout import timeout
import aiofiles
import asyncssh
async def connect_ssh(device, command):
print(f"Подключаюсь к {device['host']}")
async with timeout(20):
ssh = await asyncssh.... | null | examples/11_async_libs/connect_to_devices_async_timeout.py | connect_to_devices_async_timeout.py | py | 2,042 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "async_timeout.timeout",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "asyncssh.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
... |
183158564 | import gym
import gym_gomoku
import os
from algorithms import q_improvement, get_action
import numpy as np
env = gym.make('TicTacToe-v0')
class Env:
def trinaryToDecimal(self, trinary):
decimal = 0
i = 0
n = 0
while(trinary != 0):
dec = trinary % 10
decima... | null | blesfia/Tictactoe/tong-tac-toe.py | tong-tac-toe.py | py | 1,941 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gym.make",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "algorithms.q_improvemen... |
565180616 | # Copyright 2017 The Bazel Authors. All rights reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | null | packaging/whl.py | whl.py | py | 9,636 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.umask",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.umask",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.chmod",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 51,
... |
36994977 | import os
import sys
import multiprocessing
import subprocess
import shlex
import glob
from io_simo import check_files_if_exist
from io_simo import make_dir_if_necessary
from filesmasher import FaSmasher
from ftsensor import FtSensor
class Mummer:
def __init__(self, args):
self.outp = os.path.realpath(args.outp)
... | null | mummer.py | mummer.py | py | 6,192 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
93585589 | import os
import time
import sys
import numpy as np
import matplotlib.pyplot as plt
X = []
Y = []
with open(sys.argv[1],'r') as f:
for line in f:
words = line.strip().split()
if len(words)>0:
X.append(int(words[0]))
Y.append(float(words[1]))
X = np.array(X, dtype=... | null | process.py | process.py | py | 526 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_nu... |
402770370 | # Databricks notebook source
# MAGIC %run ./../utils/utils_functions
# COMMAND ----------
import time
import mlflow
import numpy as np
import mlflow.sklearn
from mlflow.exceptions import RestException
from mlflow.tracking import MlflowClient
from sklearn.metrics import accuracy_score, roc_auc_score
class LendingClu... | null | model/evaluation_pipeline.py | evaluation_pipeline.py | py | 3,238 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mlflow.tracking.MlflowClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mlflow.exceptions.RestException",
"line_number": 33,
"usage_type": "name"
},
{
"api_name"... |
201401806 | import json
import requests
import json
import sys, os
import pika, re,base64
import zlib
from bs4 import BeautifulSoup
from pymongo import MongoClient
requests.packages.urllib3.disable_warnings()
class StokaInstance:
STORAGE = {}
def __init__(self, rabbit_mq_connection, seed_page_object, group_n... | null | facebook.py | facebook.py | py | 10,637 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 19,
"usage_type": "call"
},
{
... |
394972431 | #!/usr/bin/python
def mo_plot(mo_energies, x_pos=(1, 2), linewidth=1):
'''mo_plots(energies, x_pos, linewidth) returns a PathPatch object
for matplotlib.
'energies' should be a list of floats
'x_pos' (1, 2) should be a tuple to define start and end of the mo-line
'linewidth' (1) define the linewidth of each... | null | plots.py | plots.py | py | 729 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.path.Path.MOVETO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.path.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.path.Path.LINETO",
"line_number": 20,
"usage_type": "attribute"
},
{... |
123964014 | from flask import Blueprint, Response, session, render_template, request, redirect, url_for
import os
import uuid
import shutil
from ..utils import helper
import datetime
from settings import Config
ind = Blueprint('ind', __name__)
@ind.before_request # (执行这个 蓝图 里的视图函数之前 进行操作)
def authlogin():
if not session.ge... | null | statistical_code/views/index.py | index.py | py | 4,537 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.session.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"... |
134215851 | N,M = map(int, input().split())
S = input()
T = input()
from fractions import gcd
# 15, 9
# 3$BJ8;z$:$D8+$F$$$/!"(B5$BJ8;z$:$D8+$F$$$/(B
LEN = N*M // gcd(N,M) # 45
p = LEN // N # 3
q = LEN // M # 5
lcm = p*q//gcd(p,q)
for i in range(0, LEN//lcm):
if S[i*q] != T[i*p]:
print(-1)
e... | null | Source Codes/AtCoder/agc028/A/4625768.py | 4625768.py | py | 337 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fractions.gcd",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fractions.gcd",
"line_number": 11,
"usage_type": "call"
}
] |
146964425 | import kubernetes as k8s
from argparse import ArgumentParser
from pint import UnitRegistry
from collections import defaultdict
import json
import datetime
import time
import os
def evict_pod(data, gracePeriodSeconds, dry_run, evictAllPodsAtOnce):
isPodEvicted = False
for node in data["on-demand"]:
for ... | null | main.py | main.py | py | 17,644 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "kubernetes.client.V1beta1Eviction",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
600810480 | import argparse
import boto3
import datetime
import gzip
import json
import logging
import os
import os.path
import re
import time
import threading
from botocore.client import Config
logging.basicConfig(level=logging.ERROR, format='%(asctime)s %(message)s')
class Syncer:
typekey_map = {
'nodejs': '_var_... | null | main.py | main.py | py | 5,273 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.search",
"lin... |
534017441 | import pygame
import csv
import sys
import random
DIM = (600,500)
SFONDO = (0,0,0)
LINEA = (255,255,255)
def drawlinea():
dim = 20
spessore = 1
direzioni = 60
dizionario_posizioni = {0:[0,0], 1:[10,0], 2:[20,0], 3:[20,-10]}
dizionario_posizioni.items()
for direzioni in... | null | Bob.py | Bob.py | py | 1,072 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.Rect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_... |
467392145 | import os
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
from keras.layers import (
Activation,
BatchNormalization,
Dense,
Dropout,
Flatten,
Reshape,
UpSampling2D,
ZeroPadding2D,
)
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.convol... | null | src/test3.py | test3.py | py | 8,229 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.Sequential",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "keras.layers.Reshape",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "keras... |
235769392 | import praw
from random import randint
class reddit(object):
def __init__(self):
self.r = praw.Reddit(user_agent='SaltBot by /u/fertilelionfish')
self.subs = ['funny', 'comics', 'gaming', 'videos', 'cats', 'woahdude']
def command_parse(self, command):
parsed = command.split(' ')
... | null | src/reddit.py | reddit.py | py | 1,112 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "praw.Reddit",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
}
] |
616204161 | #!/usr/bin/env python3
# vim: set encoding=utf-8 tabstop=4 softtabstop=4 shiftwidth=4 expandtab
#########################################################################
# Copyright 2016 <Onkel Andy> <onkelandy@hotmail.com>
#########################################################################
# ... | null | oppo/__init__.py | __init__.py | py | 5,334 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "builtins.SDP_standalone",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.sep.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.re... |
311778964 | import json
import tempfile
from django.core.files import File
from django.test import TestCase
from django.urls import reverse
from PIL import Image
from findit.models import Products
from ..factories import ShopFactory, UserFactory
from ..utils import get_token
class WhenUserCreateProduct(TestCase):
"""
... | null | tests/commerce/test_user_can_create_products.py | test_user_can_create_products.py | py | 1,480 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "factories.UserFactory",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "factories.ShopFactory",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "util... |
187647527 | """
views.py
========
Generic, one-off views for PLA
* Home page view
"""
from django.core.urlresolvers import reverse
from django.views.generic.edit import FormView
from ..forms import SearchForm
class HomeView(FormView):
"""Home page for PLA"""
template_name = 'home.html'
form_class = SearchForm
... | null | ui/views/home.py | home.py | py | 532 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.edit.FormView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "forms.SearchForm",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 23,
"usage_type": "call"
}
] |
400215074 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 28 11:26:07 2018
@author: audiodsp
"""
import pyaudio
import wave
import tkinter as tk
import threading
import matplotlib.pyplot as plt
import numpy as np
import scipy.io.wavfile
import librosa
from tkinter import Label
from PIL import Image, ImageT... | null | Week -1/RecordingApp2.py | RecordingApp2.py | py | 5,130 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tkinter.Tk",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 3... |
22907416 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""A script to run backprojection."""
__author__ = "Steven Gao"
__version__ = "1.0"
__maintainer__ = "Steven Gao"
__email__ = "stevenruidigao@gmail.com"
import pickle
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Ax... | null | raw_code/pulson440/backprojection-aligned.py | backprojection-aligned.py | py | 23,503 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
523159664 | from iqoptionapi.stable_api import IQ_Option
import time
import json
import sys
import config
from datetime import datetime
from trade_config import *
from dateutil import tz
API = IQ_Option(config.email, config.senha)
check, reason = API.connect()
print(check, reason)
API.change_balance('PRACTICE')
def timestamp_co... | null | mhi-gale-simples.py | mhi-gale-simples.py | py | 4,631 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "iqoptionapi.stable_api.IQ_Option",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.email",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config.senha",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "... |
193569520 | """Demo platform that has two fake binary sensors."""
import copy
from homeassistant.components.calendar import CalendarEventDevice, get_date
import homeassistant.util.dt as dt_util
def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Demo Calendar platform."""
calendar_data_fut... | null | homeassistant/components/demo/calendar.py | calendar.py | py | 2,884 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "copy.copy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.calendar.get_date",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.calendar.get_date",
"line_number": 30,
"usage_type": "call"... |
429370595 | from django.conf.urls import url
from . import views
#This code is for creating new pages and redirecting to their URLS.
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^admin_login/$', views.admin_login, name='admin_login'),
url(r'^chairperson_login/$', views.chairperson_login, name='chairp... | null | CRS/urls.py | urls.py | py | 561 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
205367678 | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/custom-actions
# This is a simple example for a custom action which utters "Hello World!"
from typing import Any, Text, Dict, List
from rasa_sdk ... | null | actions/actions.py | actions.py | py | 3,571 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rasa_sdk.Action",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "rasa_sdk.executor.CollectingDispatcher",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "ra... |
120729944 | import os
import shutil
import tempfile
import torchvision.datasets.utils as utils
import unittest
import zipfile
import tarfile
import gzip
TEST_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'assets', 'grace_hopper_517x606.jpg')
class Tester(unittest.TestCase):
def te... | null | test/test_datasets_utils.py | test_datasets_utils.py | py | 3,664 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
419884307 | from rest_framework import serializers
from .models import Destination
from .models import Purchase
class DestinationSerializer(serializers.ModelSerializer):
class Meta:
model = Destination
fields = ['id', 'name']
class PurchaseSerializer(serializers.ModelSerializer):
class Meta:
mode... | null | backend/core/serializers.py | serializers.py | py | 901 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Destination",
"line_number": 7,
"usage_type": "name"
},... |
337258642 | import os, os.path
import math
from PIL import Image
from scipy.fftpack import dct, idct
import matplotlib.pyplot as plt
import numpy
def dct_2_dim(d2image, default="ortho"):
return dct(dct(d2image.T, norm=default).T, norm=default)
def i_dct_2_dim(d2image, default="ortho"):
return idct(idct(d2image.T, norm=... | null | image_fractaling.py | image_fractaling.py | py | 2,255 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.fftpack.dct",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.fftpack.idct",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"li... |
363504880 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import redis
r = redis.Redis(host='192.168.174.140',port=6379)
r.set('name','wei',ex=5)#ex=5设置过期时间，单位为秒，5秒后这个键就不存在了
r.set('name1','fang',px=5)#px=5设置过期时间，单位为毫秒，5毫秒后这个键就不存在了
r.set('name2','haha',nx=True)#nx=True，如果设置为True，则只有键不存在时，当前set操作才执行，如果这个键已存在，则不会设置
r.set('name','we... | null | Modular_five/redis相关/redis_string操作.py | redis_string操作.py | py | 2,559 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "redis.Redis",
"line_number": 6,
"usage_type": "call"
}
] |
483999919 | import numpy as np
from numpy.random import shuffle
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
def entropy(array): # Entropy of rooms
rooms = []
for row in array:
rooms.append(row[-1]) # Isolate last column (room no)
room_number, label_occurrences = np.unique(rooms, ... | null | decision_tree.py | decision_tree.py | py | 17,012 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_numbe... |
70158332 | #coding=utf-8
import base64
import utils
import json
import hashlib
import urllib, urllib2
import re
import os
import time
import tempfile
import random
import xml.dom.minidom as minidom
from cookielib import MozillaCookieJar
import requests
# from bs4 import BeautifulSoup
from bilibili_config import *
from xbmcswift2... | null | resources/lib/bilibili.py | bilibili.py | py | 18,305 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cookielib.MozillaCookieJ... |
500554341 | import string
from nlpaug.augmenter.char import CharAugmenter
from nlpaug.util import Action
class RandomCharAug(CharAugmenter):
def __init__(self, action=Action.SUBSTITUTE, name='RandomChar_Aug', aug_min=1, aug_p=0.3,
include_upper_case=True, include_lower_case=True, include_numeric=True,
... | null | nlpaug/augmenter/char/random.py | random.py | py | 5,149 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nlpaug.augmenter.char.CharAugmenter",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "nlpaug.util.Action.SUBSTITUTE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "nlpaug.util.Action",
"line_number": 8,
"usage_type": "name"
},
{... |
93230294 | import pandas as pd
import matplotlib.pyplot as plt
from gensim.models import Word2Vec
from sklearn.manifold import TSNE
from matplotlib import font_manager, rc
import matplotlib as mpl
font_path = './Jalnan.ttf'
font_name = font_manager.FontProperties(fname=font_path).get_name()
mpl.rcParams['axes.unicode_mi... | null | prj2_Movie_for_you/word2vec_visualization.py | word2vec_visualization.py | py | 1,784 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
259892541 | #Modulo CLiente para el Proyecto 1 de Redes 1 Enero Marzo 2018
#Integrantes: Salvador Gonzalez - 10-10296
# Valentina Hernandez - 10-10352
from __future__ import print_function
from time import sleep
import os
import sys
import socket as s
import datetime as d
#PUERTOS PARA LAS CONEXIONES
PORTS = [5000,5001,5002... | null | client.py | client.py | py | 7,321 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
... |
533781780 | """
Celery settings
"""
from kombu import Queue, Exchange
CELERY_BROKER_URL = 'amqp://developer:pwd123@localhost:5672//'
CELERY_ACCEPT_CONTENT = ['json']
CELERY_RESULT_BACKEND = "redis"
CELERY_REDIS_HOST = "localhost"
CELERY_REDIS_PORT = 6379
CELERY_REDIS_DB = 2
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIA... | null | project/settings/dev/celery.py | celery.py | py | 931 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kombu.Queue",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kombu.Exchange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kombu.Queue",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "kombu.Exchange",
"line_num... |
290057996 | import torch.utils.data
from data.base_data_loader import BaseDataLoader
from torchvision import transforms, utils
def CreateDataset(opt):
dataset = None
from data.cityscapes import Cityscapes
transform = transforms.Compose(
[
transforms.Resize((256, 256)),
transforms.Rando... | null | data/custom_dataset_data_loader.py | custom_dataset_data_loader.py | py | 1,247 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 11,
"usage_type": "call"
},
{
... |
354287389 | from tensorflow.python.platform import gfile
import tensorflow as tf
import cv2
import numpy as np
import sys
import argparse
import json
import mxnet as mx
gpu_id = 0
# img = cv2.imread('test.png')
# img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# img = cv2.resize(img, (112, 112,))
# img = np.swapaxes(img, 0, 2)
# img ... | null | test_same.py | test_same.py | py | 3,067 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint8",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.transpo... |
648879760 | import asyncio
import logging
import os
import re
import aiohttp
import cv2
import discord
import pytesseract
import yaml
from bs4 import BeautifulSoup
from discord.ext import commands
import tools
if os.name == 'nt':
# noinspection SpellCheckingInspection
pytesseract.pytesseract.tesseract_cmd = r"C:\\Progra... | null | cogs/plox_commands.py | plox_commands.py | py | 36,097 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.name",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pytesseract.pytesseract",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",... |
439529641 | from django.http import HttpResponse
from django.shortcuts import render, redirect, reverse, HttpResponseRedirect, HttpResponse, get_object_or_404
from django.contrib.auth import login, authenticate, logout
from .forms import SignupForm
from django.contrib.sites.shortcuts import get_current_site
from django.utils.enco... | null | blog/views.py | views.py | py | 18,416 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "property.models.PropertyListing.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "property.models.PropertyListing.objects",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "property.models.PropertyListing",
"line_number": ... |
420674683 | """
Created on Mon Jun 29 14:33:06 2020
@author: flavio martins
CSC method
"""
# Header ######################################################################
import numpy as np
import pickle
import random
import progressbar
from scipy.io import loadmat
########################################... | null | CreateDataSets.py | CreateDataSets.py | py | 9,058 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
69346388 | # -*- encoding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 5
_modified_time = 1281553043.325609
_template_filename='/Users/albee/Development/PcP-Bridge/pcpbridge/templates/debug_upload.mako'
_template_uri='/debug_up... | null | pcpbridge/data/templates/debug_upload.mako.py | debug_upload.mako.py | py | 2,892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mako.runtime.UNDEFINED",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mako.runtime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "mako.cache.Cache",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mako.cache",
... |
9432681 | import boto3
import json
from boto3.dynamodb.conditions import Key, Attr
from botocore.exceptions import ClientError
import decimal
# Helper class to convert a DynamoDB item to JSON.
class DecimalEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
if ... | null | lambda scripts/getscore.py | getscore.py | py | 893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.JSONEncoder",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",... |
279900796 | import torch
import torch.nn as nn
import encoder
import util
import random
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class BaseDecoder(nn.Module):
def __init__(self, vocab_size, embedding_dim, hidden_size):
super(BaseDecoder, self).__init__()
self.vocab_size = vocab_... | null | pytorch/seq2seqWithAttention/baseDecoder.py | baseDecoder.py | py | 1,934 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
... |
351691489 | import logging
import googlemaps
logger = logging.getLogger('boto3')
logger.setLevel(logging.INFO)
def lambda_handler(event, context):
"""
:param event:
:param context:
this function:
1. Accepts an address
2. Uses the address to look up coordinates via googlemaps
3. Returns... | null | Lambda/latLonLookup/latLonLookup.py | latLonLookup.py | py | 1,400 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "googlemaps.Client",
"line_number": 29,
"usage_type": "call"
}
] |
388296269 | #!/usr/bin/env python
"""
This script contains code used by the following jupytr notebooks:
1. dd-wrangling.ipynb
2. env.py
3.
"""
# ===========
# ENVIRONMENT
# ===========
import os
import sys
import pandas as pd
from env import path
# variables to use by selection of features from data dictionary:
ONE_CO... | null | acquire.py | acquire.py | py | 4,424 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "env.path",
"line_number": 136,
"usage_type": "name"
},
{
"api_name": "pandas.merge",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number... |
199212226 | from django.shortcuts import render
from django.http import HttpResponse
from news.models import Article
def index(request):
title = request.POST['title']
post = request.POST['post']
if title != 'none' and post != 'none':
publish = Article(title = title, post = post)
publish.save()
... | null | createnews/views.py | views.py | py | 501 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "news.models.Article",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
}
] |
359000629 | """
input: numbers
output: 3 number appear once
solution: ^
"""
import random
from functools import reduce
def findTheLastOne(x):
return x & (-x)
def findTwoOnceNum(x, s):
num = findTheLastOne(x)
a, b = 0, 0
for i in s:
if i & num:
a ^= i
else:
b ^= i
re... | null | learning-algorithm-book/2/h2-2.py | h2-2.py | py | 733 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.shuffle",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 40,
"usage_type": "call"
}
] |
394028830 | from ruamel.yaml.comments import CommentedSeq, CommentedMap
from strictyaml.exceptions import YAMLValidationError
from strictyaml.yamllocation import YAMLLocation
from strictyaml.exceptions import raise_exception
import dateutil.parser
import decimal
import copy
import re
class Optional(object):
def __init__(sel... | null | strictyaml/validators.py | validators.py | py | 10,715 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "strictyaml.yamllocation.YAMLLocation",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "strictyaml.yamllocation.YAMLLocation",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 35,
"usage_type": "call"
},
... |
611724987 | import datetime
import calendar
import traceback
import os
# Политика имен файлов для хранилища
def naming(start_date=None, end_date=None, period_name='', count=1):
# Имя вызывающей функции
func_name = traceback.extract_stack()[-3][3]
func_name = func_name[(func_name.find('.')+1):func_name.find('(... | null | service.py | service.py | py | 8,568 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "traceback.extract_stack",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
160750745 | # app/urls.py
from django.conf.urls import url
from ksdb import protocols, program, person, institution, publication, fundedsite, group, committee, view, organ, discipline, specimentype, species, disease, degree, querypubmed, publishRDF, ingestRDF, ModalView, ekeutils, ksdbviews
from sitemain import settings
urlpatt... | null | ksdb/urls.py | urls.py | py | 4,260 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ksdb.protocols.protocol_input",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ksdb.protocols",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "d... |
164773018 | import os # Path setting and file-retrieval
import cv2 # OpenCV
import numpy as np # See above
import CONFIG as cfg # Debug flags and constants
import CoreFunctions as cf # Common functions
from shutil import rmtree # Directory removal
from time import perf_counter
... | null | CUDAEncrypt.py | CUDAEncrypt.py | py | 7,284 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "CONFIG.DEBUG_IMAGES",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
... |
509370462 | import ConfigParser
import json
import re
import requests
from bottle import route, run
from bs4 import BeautifulSoup
#TODO:
# check get envelope by id for correct json formatting
#Load config file
config = ConfigParser.RawConfigParser()
config.read('mvelopes.cfg')
#Set authentication credentials
mvUser = config.get... | null | mvelopesAPI.py | mvelopesAPI.py | py | 6,160 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ConfigParser.RawConfigParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.... |
248109528 | import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import tensorflow as tf
from tensorboard.plugins import projector
from sklearn.model_selection import train_test_split
def make_meshgrid(x, y, h=.02... | null | lab2/lab2_test.py | lab2_test.py | py | 3,085 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.meshgrid",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.c_",
"line_number"... |
513759842 | import json
events= [
{"type": "session", "data": {"player_id": 89757, "session_id": 66055, "name": "ergou", "date": "2016-1-1HHMMSS"}},
{"type": "purchase", "data": {"player_id": 89757, "session_id": 66055, "state": "success", "date": "2016-1-2HHMMSS"}},
]
events = json.dumps(events) # to string
events = json.load... | null | pocket gems/onsite/json_to_database.py | json_to_database.py | py | 2,398 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
}
] |
292565003 | import matplotlib.pyplot as plt
def plot_guess(x,y):
fig, ax = plt.subplots()
ax.plot(x, y, 'ro-', linewidth=1, label='Guess solution')
ax.legend(loc='upper right')
ax.set_xlabel('grid points')
ax.set_ylabel('Guess solution')
ax.grid(True)
plt.show() | null | multigrid/plot_guess.py | plot_guess.py | py | 281 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mat... |
57102392 | import yaml
import pickle
import json
from tqdm import tqdm
from MDP_learner_gridworld_cleaned import MDP
from copy import deepcopy as dcp
IMPROVED = "improved"
def vector_value(mdp, state):
vector_s = []
pref_seq = []
for pref_state in mdp.vector_V:
pref_seq.append(pref_state)
... | null | SMDPtools_simplified/calc_result_vector_V_updated.py | calc_result_vector_V_updated.py | py | 14,073 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tqdm.tqdm",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "MDP_learner_gridworld_cleaned.MDP",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "copy.deep... |
249093231 | import cv2
import numpy as np
import face_recognition
# print("Hello coders")
# Loading image from Folder
imgRobert = face_recognition.load_image_file('imageTest/disha.jpeg')
# Convert image to RGB format
imgRobert = cv2.cvtColor(imgRobert,cv2.COLOR_BGR2RGB)
# Loading image (Testing)
imgRobertTest = face_r... | null | main.py | main.py | py | 1,452 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "face_recognition.load_image_file",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fac... |
310309700 | import cv2
import numpy as np
from matplotlib import pyplot as plt
import math
def hsv_colorname(color):
# red = np.uint8([[[255,0,0 ]]])
# hsv_red = cv2.cvtColor(red,cv2.COLOR_BGR2HSV)
hsv_color={'blue':[[100,150,0],[140,255,255]],'red':[[170,50,50],[180,255,255],[0,50,50],[10,255,255]],\
... | null | sign detection/pract1.py | pract1.py | py | 7,740 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.inRange",
"li... |
568267358 | # -*- coding: utf-8 -*-
import scrapy
from Tencent.items import TencentItem
class PosispiderSpider(scrapy.Spider):
name = 'posiSpider'
allowed_domains = ['http://hr.tencent.com']
start_urls = ['http://hr.tencent.com/position.php?&start=0#a']
def parse(self, response):
node_list = response.xp... | null | Tencent/Tencent/spiders/posiSpider.py | posiSpider.py | py | 1,437 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Tencent.items.TencentItem",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 36,
"usage_type": "call"
}
] |
318689998 | import numpy as np
np.random.seed(42)
# データ用意
x = np.arange(-100, 100, 0.5)
def my_func(x):
if ( (-10 <= x and x < 0) or (8 <= x and x < 9) or (20 <= x and x < 40) ):
return x
else:
return 0
y = np.zeros(x.size)
for i in range(x.size):
y[i] = my_func( x[i] )
# モデルの構造設計
import keras
from... | null | hoge.py | hoge.py | py | 892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line... |
182368817 | import json
import datetime
from django.contrib.auth.decorators import login_required
from django.core.exceptions import ObjectDoesNotExist
from django.http import HttpResponse
from django.core.serializers import serialize
# Create your views here.
from orders.models import Order
from quotes.models import Quotes
@... | null | orders/views.py | views.py | py | 2,080 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "quotes.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "quotes.models.Quotes",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "quotes.models.ticks",
... |
550314423 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import matplotlib.pyplot as p
import pickle
'''
Columns
'''
# Load data
with open('fruit-sales.pickle', 'rb') as f:
data = pickle.load(f)
# Split tuples from (name, number) to 2 lists
fruit, num_sold = zip(*data)
# coords
bar_coords = range(len(fruit))
# Se... | null | DataScience/Data Vis/matplotlib/Charts.py | Charts.py | py | 3,332 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xticks",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
620005141 | from datetime import datetime
from afs.model.BaseModel import BaseModel
class Partition(BaseModel):
"""
Model object of a Partition
"""
def __init__(self, id='', serv='', part='', free=0, size=0, used=0, perc=0):
"""
initialize an empty object
"""
self.id = Non... | null | afs/model/Partition.py | Partition.py | py | 1,046 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "afs.model.BaseModel.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "... |
580601936 | import json
import re
import requests
def save_cover_image(cover_url):
response = requests.get(cover_url)
filename = cover_url.split('/')[-1]
with open('./images1/%s' % filename, 'wb') as f:
f.write(response.content)
def parse_page(html):
# 漫画图片
pattern = re.compile('<p class="mh-cover ... | null | day02/1kkk.py | 1kkk.py | py | 1,785 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 17,
... |
413085928 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 6 22:00:42 2018
@author: Ryan
"""
from collections import deque
class Vertex:
def __init__(self,label):
self.label = str(label)
class Graph:
def __init__(self,Adj):
self.Adj = Adj
self.nbVertices = len(Adj)
self.V = [v for v in... | null | tools/python/Ryan/graph.py | graph.py | py | 3,270 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 34,
"usage_type": "call"
}
] |
472968969 | import cv2
import numpy as np
from sort import Sort
import balloon.balloon as Balloon
weights_path = 'D:\CH2\MyWork\Mask-Rcnn-Sort\mask_rcnn_balloon.h5'
#weights_path = input("输入权重地址：")
imagepath = ''
logpath = Balloon.DEFAULT_LOGS_DIR
videopath = 'D:\CH2\MyWork\Mask-Rcnn-Sort\CatAndBalloon.mp4'
sort_max_age = 5
sort_... | null | Main.py | Main.py | py | 2,956 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "balloon.balloon.DEFAULT_LOGS_DIR",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "balloon.balloon",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "balloon.balloon.BalloonConfig",
"line_number": 14,
"usage_type": "attribute"
},
{... |
60459422 | """
Contains common settings for both development and production.
Functions:
get_env_variable(var_name): Returns the value of a given os env variable.
The rest of the Django settings can be seen here:
https://docs.djangoproject.com/en/1.8/ref/settings/:
"""
import os
from django.core.exceptions import Improperl... | null | src/portfolio/settings/base.py | base.py | py | 2,906 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.core.exceptions.ImproperlyConfigured",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.conf.global_settings.TEMPLATE_CONTEXT_PROCESSORS",
"line_number": 53,
... |
418318751 | #!/usr/bin/env python
# coding=utf-8
"""Admin panel for user related models."""
from celery import current_app as ctask
from django.contrib import admin
from .models import (
UserInfo, TaskLog, GithubProfile, CodingLanguage, Framework,
Hobby, Inbox
)
class GithubProfileAdminView(admin.TabularInline):
""... | null | app/user/admin.py | admin.py | py | 2,459 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.GithubProfile",
"line_number": 21,
"usage_type": "name"
},
{
... |
556135880 | #!/usr/bin/env python3
# -*- coding:utf-8 vi:ts=4:noexpandtab
# Simple RTSP server. Run as-is or with a command-line to replace the default pipeline
"""
Документация на библиотеку ImageDraw https://pillow.readthedocs.io/en/stable/reference/ImageDraw.html
"""
import RPi.GPIO as GPIO
from PIL import Image # библио... | null | drow.py | drow.py | py | 1,857 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Adafruit_SSD1306.SSD1306_128_64",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw... |
647448727 | import datetime
import os
import shutil
import numpy as np
import pandas as pd
import pickle
import collections
import functools
import inspect
from copy import deepcopy
def list2csv(thelist, file_path):
my_df = pd.DataFrame(thelist)
my_df.to_csv(file_path, index=False, header=False)
def list_move_duplicat... | null | Tools.py | Tools.py | py | 10,470 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_... |
186707485 | from gensim.parsing.porter import PorterStemmer
stemmer = PorterStemmer()
def clean_guess(guesses):
return map(lambda x: x[0], guesses)
def deduplicate_guess(play, candidates):
p_guesses = [stemmer.stem(w) for w in play.guesses]
clues = [stemmer.stem(w) for w in play.clues]
candidates = [stemmer.stem(w) for w in... | null | game.py | game.py | py | 1,783 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gensim.parsing.porter.PorterStemmer",
"line_number": 3,
"usage_type": "call"
}
] |
438065019 | from django.shortcuts import render
from .models import GalleryImage
def gallery(request):
gallery = GalleryImage.objects.all().order_by('-name')
template = 'gallery/gallery.html'
context = {
'gallery': gallery,
}
return render(request, template, context)
| null | gallery/views.py | views.py | py | 289 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.GalleryImage.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.GalleryImage.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.GalleryImage",
"line_number": 7,
"usage_type": "name"
},
{
... |
161763625 |
from flask import jsonify, request
from sqlalchemy.sql import exists
from src import LOGGER, app
from ..entities.entity import Session
from ..entities.indexes import Indexes, IndexesSchema
from ..utils.manage_request import get_request_data
@app.route('/api/index')
def get_all_indexes():
session = Session()
... | null | server/src/services/DAOindexes.py | DAOindexes.py | py | 3,045 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "entities.entity.Session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "entities.indexes.Indexes",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "entities.indexes.IndexesSchema",
"line_number": 18,
"usage_type": "call"
},
{
... |
142671535 | from django.contrib import admin
from users import models
class UserAdmin(admin.ModelAdmin):
list_display = ('nick_name', 'phone', 'is_verify', 'is_fake')
search_fields = ('phone', 'nick_name')
class AlipayChangeApplyAdmin(admin.ModelAdmin):
list_display = ('user', 'create_time', 'state')
readonly_fi... | null | users/admin.py | admin.py | py | 613 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
}... |
444538491 | from sklearn.cluster import KMeans
from sklearn.externals import joblib
import numpy as np
import os
import sys
def load_features(src):
print("[+] Load data....")
data = []
for folder in os.listdir(src):
folder_path = os.path.join(src, folder)
for file in os.listdir(folder_path):
... | null | clustering.py | clustering.py | py | 914 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 1... |
7725350 | # Controller
#from GameSimulator import * # Not used..
from HEX import *
import argparse
import variables
import actor
#from variables import *
from Node import *
from MCTS import *
#pytorch
import torch.optim as optim
import torch.nn as nn
import torch.nn.modules.loss as pyloss
#torch.manual_seed(2809)
#np.random.s... | null | controller.py | controller.py | py | 17,327 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 29,
"usage_type": "call"
},
{
"... |
147126487 | # importing libraries
import pygame
import time
import random
import hardmenu
from pygame.locals import *
def main():
snake_speed = 20
# Window size
window_x = 720
window_y = 480
# defining colors
black = pygame.Color(0, 0, 0)
white = pygame.Color(255, 255, 255)
red = pygame.Color(25... | null | hardsnake.py | hardsnake.py | py | 6,564 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.Color",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_numbe... |
293964581 | import sqlite3 as lite
import sys
import os
path = os.path.dirname(__file__) + "test.db"
con = lite.connect(path)
with con:
cur = con.cursor()
# chỉ cần dùng phương thức execute() với câu SQL tương ứng.
cur.execute("SELECT * FROM Cars")
# cach 2: lấy từng dòng và in chúng ra màn hình.
... | null | select.py | select.py | py | 740 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
}
] |
117540467 | # -*- coding: utf-8 -*-
from datetime import datetime, timedelta
import numpy as np
import pylab as pl
import pytz
import matplotlib.pyplot as plt
from sklearn.hmm import GaussianHMM
from zipline.algorithm import TradingAlgorithm
from zipline.utils.factory import *
from bin.mongodb_driver import *
from bin.start im... | null | algorithm/gaussianhmm_algorithm.py | gaussianhmm_algorithm.py | py | 2,910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zipline.algorithm.TradingAlgorithm",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.arra... |
186361098 | #
# video_faces_to_images.py
#
# This script will take video(s) as input and extract and save all images that have a face detected.
# Author: Allen Wang
#
###
import errno
import os
import numpy as np
import cv2
import argparse
from util import mkdirP
from util import iterVids
face_cascade = cv2.CascadeClassifier('... | null | tools/opencvideo_faces_to_images.py | opencvideo_faces_to_images.py | py | 2,875 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"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.realpath",... |
169640480 | import time
import pynput
import win32gui
from threading import Thread
from hacks import casinofingerprint, casinokeypad, cayofingerprint, cayovoltage
def PrintBanner():
print('''
██╗░░░░░███████╗░██████╗████████╗███████╗██████╗░ ██╗░░░██╗███████╗██████╗░ ██████╗░░░░░█████╗░
██║░░░░░██╔════╝██╔════╝╚══██╔══╝██╔... | null | main.py | main.py | py | 3,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "win32gui.FindWindow",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "hacks.casinofingerpri... |
8240941 | #!/usr/bin/env python
# listend/main.py
# Dylan Taylor <taylordj@g.cofc.edu>
#
# listend is the interface between Twitter's API and Beatty Research's database.
import sys
from optparse import OptionParser
import tweepy
from pymongo import MongoClient
# set vars from define argument flags
parser = OptionParser(usage="... | null | main.py | main.py | py | 3,480 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "optparse.OptionParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoCli... |
528512251 | import numpy as np
import math
import cv2
import matplotlib.pyplot as plt
from PIL import ImageGrab
from datetime import datetime
import NeuralNetwork as myNN
import Utilities as utils
import tensorflow as tf
import time
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
tf.set_random_seed(12)
def MakeRunName():
... | null | Unsorted/playvideo.py | playvideo.py | py | 3,888 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "date... |
399503009 | from lxml import etree
import json
class ParsePage:
def __init__(self, page_source):
self.html = etree.HTML(page_source)
def overview_parse(self, main_info):
items = main_info[0].xpath('./table[@class="detail-info"]/tr/td')
# print(items)
infos = {}
for item in items:... | null | NewGovInfo/parsePage.py | parsePage.py | py | 4,281 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lxml.etree.HTML",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
154872411 | import numpy as np
import pandas as pd
import pickle
import os
# Building the model
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import Dropout
# get the data
from sklearn.preprocessing import OneHotEncoder
input_dir_list = ['F:/palmpad/csv/zy_1/'... | null | learn/palmpad_classifier.py | palmpad_classifier.py | py | 2,708 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": ... |
277799792 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright © 2012 Mozilla Corporation
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
# Remove a test by name and all a... | null | util/delete_test_by_name.py | delete_test_by_name.py | py | 1,219 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_n... |
395703196 | import pytest
import os, re
import pandas.testing as pdt
import wsynphot
from wsynphot.io import cache_filters as cf
DATA_PATH = os.path.join(wsynphot.__path__[0], 'io', 'tests', 'data')
CACHE_DIR = os.path.join(DATA_PATH, 'filters', 'SVO')
@pytest.fixture
def sample_table():
from astropy.table import Table
... | null | wsynphot/io/tests/test_cache_filters.py | test_cache_filters.py | py | 2,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "wsynphot.__path__",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"lin... |
75789216 | from django.conf.urls import patterns, include, url
#from django.views.generic.base import TemplateView
from django.http import HttpResponse
from settings import MEDIA_ROOT
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Ex... | null | urls.py | urls.py | py | 1,163 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "d... |
439999424 | from django.conf.urls import patterns, include, url
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
from tastypie.api import Api
from licenses.api import ProjectResource, UserResource, MembershipResource
v1_api = Api(api_name='v1')
v1_api.register(UserResource... | null | melo/urls.py | urls.py | py | 1,035 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tastypie.api.Api",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
448414054 | from keras_common import *
from keras_train import *
from matplotlib import pyplot as plt
import numpy as np
from random import random
import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
import tensorflow as tf
from tensorflow import keras
def get_predictions(data, model):
predictions = [model.predict(d) for d in d... | null | keras/test.py | test.py | py | 1,712 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.data.Dataset.from_tensor_slices",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.data",
"line_number": 24,
"usage_type": "attribute"
},
{
"ap... |
290490764 | # coding: utf-8
"""
百度新闻
"""
from datetime import datetime, timedelta
import re
import asyncio
import aiohttp
from scrapy.selector import Selector
from w3lib.html import remove_tags
from app import config
from app.spider.base import Spider
from app.spider.risk_control.baidu.variable import BaiduNewsVariableMixin
from... | null | app/spider/risk_control/baidu/spider.py | spider.py | py | 5,239 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.utils.log.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "app.spider.base.Spider",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "app.spider.risk_control.baidu.variable.BaiduNewsVariableMixin",
"line_number": 22,
"usage... |
306901826 | # -*- coding: utf-8 -*-
from datetime import timedelta
from celery.schedules import crontab
BROKER_URL = 'redis://127.0.0.1:6379'
CELERY_RESULT_BACKEND = 'redis://127.0.0.1:6379/0'
CELERY_TIMEZONE='Asia/Shanghai'
CELERY_IMPORTS = (
'celery_app.task1',
'celery_app.task2'
)
CELERYBEAT_SCHEDULE = {
... | null | develop/Python/modules/celery/example/celery_demo/celery_app/celeryconfig.py | celeryconfig.py | py | 616 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.timedelta",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "celery.schedules.crontab",
"line_number": 27,
"usage_type": "call"
}
] |
644177720 |
import numpy as np
import matplotlib.pyplot as plt
plt.switch_backend('agg')
from tool_box import *
# from scipy import optimize
# from scipy import asarray as ar, exp
# from scipy.optimize import curve_fit
# import PIL
# from PIL import ImageFont
# from PIL import Image
# from PIL import ImageDraw
# # f... | null | PLOT.py | PLOT.py | py | 8,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.li... |
139539499 | """@package lss.core
Module with a main script that runs all the configurators.
It contains configurators runner class and the body of the "main" function.
"""
import yaml
from lss.configurators.factory import ConfiguratorsFactory
from lss.wrappers.factory import PackageManagersFactory
class ConfiguratorsRunner:
... | null | lss/core/run.py | run.py | py | 3,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lss.configurators.factory.ConfiguratorsFactory",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "lss.wrappers.factory.PackageManagersFactory",
"line_number": 71,
"usage_typ... |
308847349 | from engine.globs import EngineData, ANCHO, ALTO, CAPA_OVERLAYS_MENUS, TEXT_SEL, CANVAS_BG
from engine.globs.event_dispatcher import EventDispatcher
from engine.UI.widgets import Boton, BaseWidget, Fila
from engine.libs.textrect import render_textrect
from engine.globs.event_aware import EventAware
from engine.glo... | null | engine/UI/menues/menu.py | menu.py | py | 5,883 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "engine.globs.event_aware.EventAware",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "engine.UI.widgets.BaseWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "engine.globs.CAPA_OVERLAYS_MENUS",
"line_number": 20,
"usage_type": "nam... |
365321859 | import cv2
import numpy as np
import glob
def sort_contours(cnts, method="left-to-right"):
# initialize the reverse flag and sort index
reverse = False
i = 0
# handle if we need to sort in reverse
if method == "right-to-left" or method == "bottom-to-top":
reverse = True
#... | null | code/code.py | code.py | py | 4,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.boundingRect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "cv2.THRESH_OTSU... |
424843846 | import panstarrs1
import poss
import merge
import pandas as pd
#This is the main loop
def cycle(ra,dec):
for ra_i,dec_i in zip(ra,dec):
panstarrs1.download(ra_i,dec_i)
poss.download(ra_i,dec_i)
merge.resize_pic(ra_i,dec_i)
merge.merge_into_pic(ra_i,dec_i)
if __name__ == '__main... | null | main.py | main.py | py | 453 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "panstarrs1.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "poss.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "merge.resize_pic",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "merge.merge_into_pi... |
453859893 | import json
import random
import requests
from django.core.cache import cache
from rest_framework.response import Response
from rest_framework import viewsets, mixins
from rest_framework.decorators import list_route
from my.models import CarUser
from my.serializer import UserSerializer, UserRegisterSerializer, UserLogi... | null | my/views.py | views.py | py | 2,499 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 13,
"usage_type... |
210287100 | from .base_env import BaseEnv, another_player
import numpy as np
from logging import getLogger
logger = getLogger(__name__)
from .base_env import Player, Winner
from .renju_env import RenjuEnv, RenjuBoard
class TicTacToeEnv(RenjuEnv):
def __init__(self):
super().__init__()
self.concurrent_cou... | null | src/reversi_zero/env/tictactoe_env.py | tictactoe_env.py | py | 641 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "renju_env.RenjuEnv",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "renju_env.RenjuBoard",
"line_number": 23,
"usage_type": "name"
}
] |
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