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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
324002368 | #from lstm import *
from sklearn import svm
from preprocessor import *
from get_features import *
from chunk import *
from matplotlib import pyplot as plt
import numpy as np
import pickle
import operator
import _thread
import myo
import socket
import select
import sys
import time
from scipy.spatial.distance import euc... | null | learner/myo_armband/dtw_classifier.py | dtw_classifier.py | py | 24,258 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "myo.DeviceListener",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "_thread.start_new... |
78496529 | import numpy as np
from scipy.sparse import lil_matrix
from scipy import stats
from joblib import Parallel, delayed
from joblib import load, dump
import tempfile
import shutil
import os
import warnings
from ..processing import knee
warnings.filterwarnings("ignore")
def wgr_BOLD_event_vector(N, matrix, thr, k, tempora... | null | rsHRF/sFIR/smooth_fir.py | smooth_fir.py | py | 6,797 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.lil_matrix",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "nu... |
582819127 | import discord
from discord.ext import commands
from resources import constants
class Ayuda(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(aliases=['a'])
async def ayuda(self, ctx):
helpEmbed=discord.Embed(title="Malibu Roleplay — Comunidad AdcitionGamer", url="h... | null | discord-bot/cogs/help.py | help.py | py | 1,471 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discor... |
626121391 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
# 防止中文乱码
mpl.rcParams['font.sans-serif'] = ['SimHei']
mpl.rcParams['axes.unicode_minus'] = False
from sklearn.model_selection import train_test_split
# 1. 加载数据(数据一般存在于磁盘或者数据库)
data = pd.read_csv(r"D:\人工智能\波士顿房价数据.csv")
# ... | null | 项目实战-波士顿房价拟合/解析式回归分析.py | 解析式回归分析.py | py | 1,516 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklea... |
488959755 | import os
import deployer
import shutil
import config
import hashlib
import sys
def method_one():
print('------ METHOD on')
def move_version_dir_to_deployed_dirs(current_deployed_version_dir_path, current_version_dir_path):
if not os.path.exists(current_deployed_version_dir_path):
os.makedirs(current... | null | deploy_version.py | deploy_version.py | py | 11,053 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_numbe... |
75528179 | import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import pymysql
import base.setting
class OperationDB:
def __init__(self):
self.host = base.setting.db_host
self.port = base.setting.db_port
self.user = base.setting.db_user
self.p... | null | util/operation_db.py | operation_db.py | py | 3,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
402493086 | import json
from lux.extensions.rest import RestRouter
from lux.extensions.rest.backends import token
class Authorization(token.Authorization):
def get(self, request):
'''List all authorizations for the authenticated user
'''
user = request.cache.user
if not user.is_authenticated... | null | lux/extensions/auth/views.py | views.py | py | 997 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lux.extensions.rest.backends.token.Authorization",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "lux.extensions.rest.backends.token",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "lux.extensions.rest.backends.token.Http401",
"line_num... |
293689446 | """
=================================
Scatter plots with custom symbols
=================================
.. redirect-from:: /gallery/lines_bars_and_markers/scatter_symbol
.. redirect-from:: /gallery/lines_bars_and_markers/scatter_piecharts
"""
# %%
# Using TeX symbols
# -----------------
# An easy way to customize s... | null | galleries/examples/lines_bars_and_markers/scatter_custom_symbol.py | scatter_custom_symbol.py | py | 1,342 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
... |
38230862 | import request_conditions
from sklearn.externals import joblib
def predict(models):
predictions = {}
input_features = request_conditions.main()
for classifier in models:
clf = joblib.load(classifier)
pred = clf.predict(input_features)
predictions[classifier] = pred
return pred... | null | lib/predict.py | predict.py | py | 784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "request_conditions.main",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.externals.joblib.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.externals.joblib",
"line_number": 9,
"usage_type": "name"
}
] |
120190876 | """ Wraps functionality of the alternative WaveRNN model. """
import os
import sys
import zipfile
import logging
import pickle
from collections import namedtuple
from typing import Mapping
# import tensorflow as tf
import numpy as np
import tacorn.fileutils as fu
# import tacorn.constants as constants
from tacorn.expe... | null | tacorn/wavernn_alt_wrapper.py | wavernn_alt_wrapper.py | py | 5,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tacorn.exper... |
71353269 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
from tensorflow import keras
import datetime
from PIL import Image
import Model_util
from Loss import getL1SSIM, getL1, getSSIM
# Creates and returns model based on specified parameters.
def create_model(dim, activation="relu", loss="L1SSIM"):
... | null | DN.py | DN.py | py | 5,106 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.Input",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tensorflow.ker... |
292158537 | ## Joseph Rice
# 12/29/2017
import datetime
from time import sleep
from visual import *
from visual.graph import *
from random import *
"""isocalendar(...)"""
"""Return a 3-tuple containing ISO year, week number, and weekday."""
now = datetime.datet... | null | Diffusion.py | Diffusion.py | py | 6,453 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.today",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "datetime.date",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "time.sle... |
70682180 | from django.shortcuts import render
from django.http import HttpResponse, Http404
from subscribe.forms import SubscribeForm
from blogs.models import Title, Detail, TagForBlog
def index(request):
titles = Title.objects.order_by('-pub_date')[:10]
context_dict = {'titles': titles}
return render(request, 'b... | null | tourepedia/blogs/views.py | views.py | py | 1,621 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "blogs.models.Title.objects.order_by",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "blogs.models.Title.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "blogs.models.Title",
"line_number": 10,
"usage_type": "name"
},
{... |
247848903 | from setuptools import setup
with open("README.rst") as f:
readme = f.read()
setup(
name="oommfc",
version="0.5.4.2",
description="A Python-based OOMMF calculator.",
long_description=readme,
author="Computational Modelling Group",
author_email="fangohr@soton.ac.uk",
url="https://github... | null | setup.py | setup.py | py | 835 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
618692478 | '''
Author: Puffrora
Date: 2021-11-21 23:38:26
LastModifiedBy: Puffrora
LastEditTime: 2021-11-21 23:41:27
'''
from typing import List
"""
dp[i][0] i-th day, dosen't have stock
dp[i][1] i-th day, has stock
"""
class Solution:
def maxProfit(self, prices: List[int], fee: int) -> int:
dp = [[0 for _ in rang... | null | Leetcode/leetcode714 买卖股票的最佳时机含手续费.py | leetcode714 买卖股票的最佳时机含手续费.py | py | 596 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
}
] |
304308569 | from bs4 import BeautifulSoup
import re
import operator
import pandas as pd
import numpy as np
from flask import jsonify
import json
from tabulate import tabulate
import sys
from stop_words import get_stop_words
import requests
def seed_price(page):
page = requests.get("http://164.100.222.56/amb/1/mandishowtoday.asp... | null | Python/scrap.py | scrap.py | py | 1,131 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
28416623 | # import pandas, numpy
import pandas as pd
import numpy as np
import datetime as dt
from datetime import datetime
# Create the required data frames by reading in the files
sdf=pd.read_excel("C:\\Users\\kevin.scaria\\Documents\\Training\\Takeaway Assignments\\R & Python\\SaleData.xlsx")
diadf=pd.read_csv('C:\\Users\\ke... | null | 1541_batch3_python.py | 1541_batch3_python.py | py | 10,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
201094573 | import numpy as np
import math, copy, sys, os
import matplotlib.pyplot as plt
import scipy.io.wavfile as wf
from scipy.io.wavfile import write
from scipy.signal import get_window
from scipy import signal
import low_pass as crossover
import stft as DFT
INT16_FAC = (2**15)-1
INT32_FAC = (2**31)-1
INT64_FAC = (2**63)-1... | null | src/main.py | main.py | py | 11,919 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.signal.get_window",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "scipy.... |
328945136 | import os
import json
import bson
from flask import Blueprint, render_template, request, send_from_directory, jsonify
from flask_restful import Resource, Api
from werkzeug import secure_filename
from api_test import app
from api_test import models
from api_test.models import Project
from api_test import db
API_VERSIO... | null | api_test/views/api_v1/project.py | project.py | py | 2,369 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask_restfu... |
109820360 | from django.contrib import admin
from parties.models import PartySeries, Party, Competition, CompetitionPlacing
class CompetitionPlacingInline(admin.TabularInline):
model = CompetitionPlacing
raw_id_fields = ['production']
admin.site.register(PartySeries)
admin.site.register(Party, raw_id_fields=['invitations', ... | null | parties/admin.py | admin.py | py | 428 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "parties.models.CompetitionPlacing",
"line_number": 7,
"usage_type": "name"
}... |
357078972 | #https://docs.djangoproject.com/en/dev/howto/custom-management-commands/#howto-custom-management-commands
from django.core.management.base import NoArgsCommand
from server.models import StaticData
import openexchangelib.types as oel_types
from server import data_management as dm
class Command(NoArgsCommand):
help... | null | DjangoWebServer/server/management/commands/gennonchained.py | gennonchained.py | py | 2,932 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.NoArgsCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "server.models.StaticData",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "server.data_management.save_static_data",
"line_number": 16,
"usage_typ... |
18285637 | from textblob import TextBlob
import pandas as pd
import re
def getSentimentPolarity(x):
testimonial=TextBlob(x['text'])
s=testimonial.sentiment.polarity
return s
def getSentimentSubjectivity(x):
testimonial=TextBlob(x['text'])
s=testimonial.sentiment.subjectivity
return s
def cleanTe... | null | GenerateSentiment.py | GenerateSentiment.py | py | 1,198 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "textblob.TextBlob",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"li... |
373641322 | # -*- coding: utf-8 -*-
# Copyright (c) 2014, 2015 Metaswitch Networks
# 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/licen... | null | calico/felix/futils.py | futils.py | py | 17,462 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "gevent.loc... |
463735182 | __author__ = "Bryse Flowers"
# External Includes
import subprocess # Shell out to festival or googleTTS
import time # Pause in between each speach
import os # Getting absolute path and directory
from urllib.request import urlopen # Checking Inter... | null | src/speak.py | speak.py | py | 4,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.data.data.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "nltk.data.data",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "nltk.data",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "plugin.Plugin",
... |
587371877 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import rospy
import numpy as np
from scipy import ndimage
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
from robot_interaction_experiment.msg import Vision_Features
from robot_interaction_experiment.msg... | null | catkin_ws/src/robot_interaction_experiment/scripts/Not_used/imageToObjects_online_BIG_TEST.py | imageToObjects_online_BIG_TEST.py | py | 26,337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.isfinite",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "cv_bridge.CvBridge",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "cv_bridge.CvBridgeEr... |
523835134 | import pandas as pd
import numpy as np
import pytest
from mltoolz.preprocessing import split_dataframe
@pytest.mark.parametrize("lookback, expected_train", [
(None,
pd.DataFrame(np.arange(500), columns=['test'])),
(100,
pd.DataFrame(np.arange(400), columns=['test']))
])
def test_split_dataframe(look... | null | tests/test_preprocessing.py | test_preprocessing.py | py | 765 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mltoolz.preprocessing.split_dataframe",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "p... |
643323189 | import pygame
import time
import random
pygame.font.init()
win=pygame.display.set_mode((1300,600))
fps=10
clock=pygame.time.Clock()
def draw_win(arr):
i=100
b=[]
win.fill((255,255,255))
for a in arr:
i+=15
pygame.draw.rect(win,(0,0,0),(i,10,10,20*a))
pygame.display.update... | null | b.py | b.py | py | 2,623 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.font.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display... |
204157085 | # Copyright (c) 2016 b<>com
#
# 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 law or agreed to in writing, softw... | null | watcher_dashboard/content/audit_templates/tests.py | tests.py | py | 5,438 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 25,
"usage_type": "call"
},... |
68691315 | from PySide2.QtCore import Qt, Signal
from PySide2.QtWidgets import (
QLabel,
QGroupBox,
QHBoxLayout,
QSlider,
QCheckBox,
)
QGroupBoxStyleSheet = """
QGroupBox
{
border: 1px solid gray;
border-radius: 2px;
font-size: 9pt;
}
"""
class IndexSlider(QSlider):
"""
Simplest p... | null | src/wezel/widgets/sliders.py | sliders.py | py | 6,697 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide2.QtWidgets.QSlider",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Qt.Horizontal",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore.Qt",
"line_number": 25,
"usage_type": "name"
},
{
"api... |
621676723 | import cricpy.analytics as ca
import re, time
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
path = os.path.join(BASE_DIR, 'scripts', 'player_data')
players = ['dhawan', 'rohit', 'kl_rahul', 'kohli', 'iyer', 'pandey', 'jadeja', 'shaw', 'gill', 'shami', 'chahal',
'kuldeep', ... | null | scripts/scrap_players.py | scrap_players.py | py | 4,612 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
614393238 | import cv2
import numpy as np
import os
#--> Functions <----------------------------------------------------------------------------------------------------------
def dibujar_cnt (mask, color):
global f_OK
cnt,_ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in cnt:
ar... | null | detector_colores.py | detector_colores.py | py | 2,613 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.findContours",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.RETR_EXTERNAL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.CHAIN_APPROX_SIMPLE",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2... |
105403811 | # Use scikit-learn to grid search the batch size and epochs
import numpy
from sklearn.grid_search import GridSearchCV
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasClassifier
from keras.optimizers import SGD
seed = 7
numpy.random.seed(seed)
# Load the d... | null | stage2/ketat_test.py | ketat_test.py | py | 4,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequen... |
534180115 | from deap import *
import matplotlib.pyplot as plt
#from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import numpy as np
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import random
from scipy.optimize import minimize
from plot import *
import array
import... | null | nsga_2.py | nsga_2.py | py | 4,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.uniform",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "deap.creator.create",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "deap.creator",
... |
191832583 | #!/usr/bin/env python
# _*_coding:utf-8_*_
"""
@Time : 2019/10/1 0:09
@Author: yanqiang
@File: 03_birnn.py
"""
from keras.layers import *
import jieba
import multiprocessing
import pandas as pd
from gensim.models import Word2Vec
import numpy as np
import keras.backend as K
from keras.callbacks import Callback, Mod... | null | 03_birnn.py | 03_birnn.py | py | 5,377 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jieba.cut",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.rea... |
536925574 | import os
import cv2
from libs.label_name_dict.label_dict import LABEl_NAME_MAP
from libs.configs import cfgs
import numpy as np
import cv2
import imutils
import json
import base64
import os
import glob
# boxes = np.array([[233.5084 , 185.24924 , 45.020805, 141.2165 , -68.94732 ],
# [281.85828 , 201.040... | null | utils/rotate.py | rotate.py | py | 9,179 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "libs.configs.cfgs.TEST_PATH",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "libs.configs.cfgs",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "cv2.imwrite",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.im... |
582372096 | # COMPUTEX Code Generator
import random
import string
import webbrowser
import requests
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
def create_code():
try:
word_gen = lambda i: ''.join(random.choices(
string.ascii_uppercase +
string.ascii_lowerca... | null | COMPUTEX bruteforce/code_gen.py | code_gen.py | py | 1,640 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choices",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name":... |
167397095 | from django.shortcuts import render, redirect
from django.http import JsonResponse
from .models import *
import json
import datetime
from django.contrib.auth.forms import UserCreationForm, PasswordChangeForm
from django.contrib.auth import authenticate, login, logout
from .forms import CreateUserForm, CustomerForm, Cha... | null | store/views.py | views.py | py | 13,713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.views.PasswordChangeView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.forms.PasswordChangeForm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 20,
"... |
450574498 | """Hover task."""
import math
from pathlib import Path
import numpy as np
from gym import spaces
from geometry_msgs.msg import Vector3, Point, Quaternion, Pose, Twist, Wrench
from .quadrocopter_task import QuadrocopterTask
from .emulator import Emulator
from ..task import Task
class Hover(Task):
"""Simple task w... | null | tasks/emulator/hover.py | hover.py | py | 2,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "task.Task",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "emulator.Emulator",
"line_numbe... |
253593618 | #!/usr/bin/env python3
# File: member.py
"""
Applies to records of members of 'the club' which
is further defined in another module (rbc.py).
Many methods of Membership class are essentially
independant of Membership but pertain to each record.
Hence makes sense to separate them out.
A many need to store data so thos... | null | member.py | member.py | py | 35,508 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.DictReader",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "sys_globals.SEPARATOR",
"line_number": 159,
"usage_type": "attribute"
},
{
"api_name": "csv.DictReader",
"line_number": 575,
"usage_type": "call"
},
{
"api_name": "helpers.a... |
483672647 | import time
import os, re
import csv
import ipdb
import pickle
import numpy as np
from sklearn.metrics import confusion_matrix
import matplotlib.pyplot as plt
import torch
import torch.optim as optim
from torch import nn
from torch.autograd import Variable
import torchvision
import torchvision.mode... | null | Scripts/train.py | train.py | py | 20,386 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.__dict__",
"line_number": 110,
"usage_type": "attribute"
},
{
"api_nam... |
143301274 | import cmath
import numpy as np
import scipy.io as sio
from scipy.stats.mstats import mode
eeg = sio.loadmat('data/eeg')
#print (eeg.keys()) # keys are 'x_te', 'x_train', 'y_te', 'y_train'
X_train = eeg['x_train']
Y_train = eeg['y_train']
X_test = eeg['x_te']
Y_test = eeg['y_te']
N = 64
f, n =np.a... | null | Motor Imagery/kNN.py | kNN.py | py | 3,136 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.blackman",
"line_numbe... |
30561906 | # Problems:
# After setting input/output, on/off doesn't work (Don't rebuild database???)
# led1 seems to be broken
# Comment and organize code
# DMA pulses (getting started docs)
# Build tcpdump parser
# Organize multiple folders
# Expand help menu
from artiq.experiment import *
import os
from tabulate import tabulat... | null | old/src/main.py | main.py | py | 9,982 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.system",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 88,
... |
287480035 | from calc_influxdb_fields_correlation import column_list_loader, field_to_dataframe
from datetime import datetime
from scipy import stats
from collections import OrderedDict
from math import isnan
import pandas as pd
import time
def df_merger(target_field, one_column_name, query_time):
other_field = field_to_dataf... | null | calc_influxdb_fields_correlation2_standard.py | calc_influxdb_fields_correlation2_standard.py | py | 3,993 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "calc_influxdb_fields_correlation.field_to_dataframe",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 15,
"usage_type": "call"
},
{
... |
191716053 | import json
from unittest.mock import Mock
import pytest
from jinja2 import Environment
from tornado.testing import AsyncTestCase, gen_test
from tornado.web import Application, HTTPError
from tornado.httpserver import HTTPRequest
from traitlets.config import Config
from ..clone import BookstoreCloneHandler, Bookst... | null | bookstore/tests/test_clone.py | test_clone.py | py | 5,711 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.testing.AsyncTestCase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tornado.web.Application",
"line_number": 21,
"usage_type": "name"
},
{
"api_name... |
636356229 | __author__ = "Tim Pose"
__credits__ = ["Peter Detzner"]
__maintainer__ = "Tim Pose"
__status__ = "Development"
import logging
from http import HTTPStatus
"""
Bork
"""
BORK_DEFAULT_URL = "http://bork:50019"
BORK_DEFAULT_SCHEMAS_DIR_PATH = "./models/schemas/"
BORK_DEFAULT_ROOTSCHEMA_NAME = "RootSchema.json"
"""
Orion... | null | src/utils/Constants.py | Constants.py | py | 4,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "http.HTTPStatus.OK",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "http.HTTPStatus",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "http.HTTPStatus.CREATED",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "... |
226841525 | from django import template
register = template.Library()
@register.assignment_tag(takes_context=True)
def set_var(context, str_value):
valstr = str_value
start = str_value.find("{{")
if start != -1:
start += 2
end = str_value.find("}}")
if start != -1 and end != -1 and start < len(str_va... | null | spe_preferences/templatetags/var_tags.py | var_tags.py | py | 834 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
519517912 | __author__ = 'mizumoto'
from flask.ext.script import Manager, Server
from app import app
manager = Manager(app)
# Turn on debugger by default and reloader
manager.add_command("runserver", Server(
use_debugger=True,
use_reloader=True,
host='localhost',
port=8888)
)
if __name__ == "__main__":
man... | null | manage.py | manage.py | py | 330 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.ext.script.Manager",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "flask.ext.script.Server",
"line_number": 9,
"usage_type": "call"
}
] |
201904907 | #!/usr/bin/env python
# vim:ts=4:sts=4:sw=4:et
#
# Author: Hari Sekhon
# Date: 2019-10-07 10:23:31 +0100 (Mon, 07 Oct 2019)
#
# https://github.com/HariSekhon/DevOps-Python-tools
#
# License: see accompanying Hari Sekhon LICENSE file
#
# If you're using my code you're welcome to connect with me on LinkedIn and opt... | null | validate_toml.py | validate_toml.py | py | 4,042 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line... |
239913983 | # import plotly
import plotly.express as px
import pandas as pd
import numpy as np
from io import StringIO
from flask import Flask, render_template, request
import logging
logging.basicConfig(level=logging.DEBUG)
import cell_automata as ca
def create_unique_bar_graph(randomText, seperator):
... | null | main.py | main.py | py | 6,526 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
84117289 | import re
from dataclasses import dataclass
from spacy.tokens.span import Span
@dataclass
class RegExConfig:
label: str
pattern: str
minimum_length: int
maximum_length: int
class RegExMatcher(object):
def __init__(self, name: str, config: RegExConfig):
self.name = name
self.con... | null | convenient_ai/nlp/spacy/custom/RegExMatcher.py | RegExMatcher.py | py | 2,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "re.finditer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.span.Span",
"line_number": 41,
"usage_type": "call"
}
] |
82628979 | from __future__ import print_function
from imutils.object_detection import non_max_suppression
from imutils import paths
import argparse
import imutils
import numpy as np
import cv2
import pyrebase
import time
#ap = argparse.ArgumentParser()
#ap.add_argument("-i","--images", required=True, help="/home/pi/Desktop/cante... | null | 10.009 Digital World 1D Project/1D DW Old Codes/hogcrowdcontrol_final_final.py | hogcrowdcontrol_final_final.py | py | 3,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor_getDefaultPeopleDetector",
"line_number": 39,
"usage_type": "call"
},
{
... |
303605058 | import gevent
from gevent import monkey
monkey.patch_all()
import json
import logging
import os
import secrets
import signal
import sys
import urllib.parse
from datetime import datetime
from functools import wraps
import redis
import requests
from flask import Flask, Response, request
from gevent.pywsgi import WSGIH... | null | app.py | app.py | py | 13,012 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.CRITICA... |
572586045 | import xlrd
import openpyxl
path = 'E:/ToSql.xlsx'
tableName = 'Table_1'
Sql = ''
if path.endswith('.xls'):
data = xlrd.open_workbook(path)
table = data.sheets()[0] #获取工作表
titleList = table.row_values(0) #获取标题列
sqlTemplate = "INSERT dbo.%s ( %s ) VALUES ( %s ) \n"% (tableName, ... | null | Excal To Sql.py | Excal To Sql.py | py | 769 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 28,
"usage_type": "call"
}
] |
381496325 | from django.shortcuts import render, HttpResponse, redirect
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from ... | null | administration/views.py | views.py | py | 5,821 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "products.models.Category.objects.all",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "products.models.Category.objects",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "products.models.Category",
"line_number": 28,
"usage_type": "n... |
39456109 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 18 02:31:06 2018
@author: srv_twry
"""
"""
Initial setup.
"""
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset_size = 10000
dataset = pd.read_csv('dataset/dataset.... | null | classifier/classifier_ann.py | classifier_ann.py | py | 3,154 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",... |
78127111 | import torch
from torch.utils.data import Dataset, DataLoader
from torch import nn
import torch.nn.functional as F
import torch.optim as optim
from skimage import io
from skimage.transform import resize
import numpy as np
import matplotlib.pyplot as plt
from MyDataSet import MyDataset
from DeepLearningEffectivenessExpl... | null | Model1.py | Model1.py | py | 6,857 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
181409782 | import csv
import numpy as np
from sklearn.linear_model import LogisticRegression
import pandas as pd
from sklearn.externals import joblib
def LoadData(file):
data = []
i = 0
with open(file, encoding='utf-8') as csv_file:
csv_reader = csv.reader(csv_file)
for row in csv_reader:
data.append(row... | null | house-location/old/preprocess.py | preprocess.py | py | 5,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 32... |
621055008 | import random
import time
from selenium.webdriver.common.by import By
from app.passion_applets.object_page.applets.common import CommonPage
from conf.decorator import teststep, teststeps
class WordChoiceGame(CommonPage):
@teststep
def wait_check_word_choice_page(self):
"""词汇选择页面检查点"""
locat... | null | app/passion_applets/object_page/applets/games/word_choice.py | word_choice.py | py | 6,264 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.passion_applets.object_page.applets.common.CommonPage",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
... |
100238440 | import numpy as np
from sklearn.decomposition import PCA
from pyspark.sql.types import *
import numpy as np
import sklearn.cluster
from nltk.metrics import distance
import Pycluster as PC
import pandas as pd
from pyspark.sql import SparkSession
from pyspark.sql.functions import col
from pyspark.ml.fpm import FPGrowth
f... | null | Clustering/Constructor_Team.py | Constructor_Team.py | py | 4,690 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 19,
"usage_type"... |
425193048 | """Program stats server."""
import functools
import io
import json
import os
import sys
import webbrowser
from six.moves import socketserver
from six.moves import SimpleHTTPServer as http_server
_STATIC_DIR = 'frontend'
_PROFILE_HTML = '%s/profile.html' % _STATIC_DIR
class StatsServer(socketserver.ThreadingMixIn, s... | null | vprof/stats_server.py | stats_server.py | py | 3,760 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.moves.socketserver.ThreadingMixIn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "six.moves.socketserver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "six.moves.socketserver.TCPServer",
"line_number": 16,
"usage_type": "at... |
7819521 | #!/usr/bin/env python
from __future__ import print_function
import chainer
import chainer.functions as F
import chainer.links as L
import numpy as np
import six
from chainer import Variable, optimizers
class MLP(chainer.Chain):
"""Multi-layer perceptron for Classifier.
Args:
n_in (int): Dimension ... | null | nfp/nn.py | nn.py | py | 4,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "chainer.Chain",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "chainer.links.Linear",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "chainer.links",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "chainer.links.L... |
643367806 | import numpy as np
from numba import njit
@njit(nogil=True, fastmath=True)
def logsumexp(a):
a_max = np.max(a)
out = np.log(np.sum(np.exp(a - a_max)))
out += a_max
return out
@njit(parallel=True, error_model='numpy')
def normalize_to_probability(distribution):
'''Ensure the distribution integrat... | null | replay_trajectory_classification/core.py | core.py | py | 6,488 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.max",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 8,
"usa... |
282702110 | import datetime
import re
from booking_engine import BookingEngine
class Bimanairlines(BookingEngine):
def __init__(self):
super().__init__(6, 3, 3)
self.site_name = "BIMAN-AIRLINES"
def make_url(self):
domain = "https://www.biman-airlines.com"
headers = {
'Host'... | null | Scraper for booking engine/biman_airlines.py | biman_airlines.py | py | 2,127 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "booking_engine.BookingEngine",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 32,
"usage_type": "call"
}
] |
259156646 | import urllib3
import urllib
import re
import csv
import sys
import requests
from bs4 import BeautifulSoup
import os
from xlwt import *
def getHtml(url):
r = requests.get(url)
s = r.status_code
if(s==404):
print("404")
return r.content
if __name__ == '__main__':
url = "http://120.78.162.102/ranklistnew.php"
csv... | null | spider.py | spider.py | py | 810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
}
] |
159639758 | """
Type annotations for license-manager service client.
[Open documentation](https://vemel.github.io/boto3_stubs_docs/mypy_boto3_license_manager/client.html)
Usage::
```python
import boto3
from mypy_boto3_license_manager import LicenseManagerClient
client: LicenseManagerClient = boto3.client("licen... | null | typings/mypy_boto3_license_manager/client.pyi | client.pyi | pyi | 40,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 104,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 104,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"lin... |
167585287 | from django.db import models
from wagtail.wagtailadmin.edit_handlers import FieldPanel, PageChooserPanel, InlinePanel
from wagtail.wagtailsnippets.edit_handlers import SnippetChooserPanel
from wagtail.wagtailimages.edit_handlers import ImageChooserPanel
from wagtail.wagtailsnippets.models import register_snippet
fro... | null | demo/snippets.py | snippets.py | py | 4,763 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
449796867 | import datetime
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from shapely.geometry import Point, Polygon, LineString
from sklearn.metrics import roc_auc_score, roc_curve
from . import curvature, centerlines
def get_current_timestamp_as_string(format='%Y-%m-%dT%H-%M-%S') -> str:
return date... | null | app/src/utils.py | utils.py | py | 2,305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "shapely.geometry.Polygon",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "s... |
375700374 | #!/usr/bin/env python3
#############################################################################
# Filename : Softlight.py
# Description : Control RGBLED with Potentiometer
# Author : www.freenove.com
# modification: 2019/12/27
########################################################################
import... | null | ColorfulSoftlight.py | ColorfulSoftlight.py | py | 2,464 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "smbus.SMBus",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_numb... |
574561842 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by master on 2017/4/18
from yinhang.HtmlDownLoader import HtmlDownloader
from bs4 import BeautifulSoup
class Save(object):
@staticmethod
def save(url, index, ws):
download = HtmlDownloader()
resp = download.download(url)
soup =... | null | yinhang/Save2Excel.py | Save2Excel.py | py | 940 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yinhang.HtmlDownLoader.HtmlDownloader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
}
] |
341689989 | import logging
import sys
import os
from functools import lru_cache
def _configLogger(name, filename=None, loglevel=logging.INFO):
# define a Handler which writes INFO messages or higher to the sys.stdout
logger = logging.getLogger(name)
logger.setLevel(loglevel)
console = logging.StreamHandler(sys.st... | null | utils/logger.py | logger.py | py | 2,474 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
... |
25881543 | from urllib.request import urlopen
from bs4 import BeautifulSoup
if __name__ == "__main__":
# 크롤링을 하려는 URL
targetUrl = "http://aqicn.org/city/seoul/kr/"
# 웹페이지를 읽어온다.
html = urlopen(targetUrl).read()
# beautifulsoup 으로 파싱
soupData = BeautifulSoup(html, 'html.parser')
# 지역 정보를 읽어 오고.
titleData = soupData.find('... | null | o2.py | o2.py | py | 425 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
}
] |
62047485 | #-*- coding:utf-8 _*-
"""
@author:charlesXu
@file: Data_util.py
@desc: 数据工具类
@time: 2019/03/22
"""
import jieba
import collections
import codecs
import os
import numpy as np
import random
import json
from Generate_resource_data import get_knowledge
UNK = u'_UNK'
O = u'_O'
PAD = u'_PAD'
splitter = '|&|'
splitter_slot_... | null | Chatbot_Model/Intent_Detection_Slot_Filling/Data_util.py | Data_util.py | py | 22,120 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
457830731 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import datetime
import sys
import uuid
from PyQt5.QtWidgets import QDialog, QApplication, \
QTableWidget, QVBoxLayout, QLineEdit, QTextEdit, QPushButton, QComboBox, QHBoxLayout, QLabel, \
QTableWidgetItem, QWidget, QCheckBox, QMessageBox
import data_sets
import libpg
... | null | msg_sms.py | msg_sms.py | py | 8,888 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QTableWidget",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 34,
"usage_type": "call"
},
{
"... |
195483633 | from datetime import date
ano = date.today().year
nasc = int(input('Qual o ano do seu nascimento: '))
idade = ano - nasc
print(' O atleta tem {} anos'.format(idade))
if idade<=9:
print('Classificação infantil')
elif idade<=14:
print('Infantil')
elif idade <=19:
print('JUNIOR')
else:
print('master') | null | CURSO EM VÍDEO/Python Intermediário/C.E.V. Mundo 2/SOLUÇÃO.py | SOLUÇÃO.py | py | 317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 2,
"usage_type": "name"
}
] |
22846055 | # -*- coding: utf-8 -*-
import os
import urllib
import json
from bs4 import BeautifulSoup
class Base:
URL = ''
FILE = ''
# ページを読み込む
def load(self):
res = urllib.request.urlopen(self.URL)
data = res.read()
res.close()
return data
# ファイルを書き込む
def write(self, ... | null | resources/data/cp/jcba/scrape.py | scrape.py | py | 3,173 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
19712340 | from apscheduler.executors.pool import ProcessPoolExecutor, ThreadPoolExecutor
from apscheduler.schedulers.background import BlockingScheduler
from apscheduler.jobstores.redis import RedisJobStore
REDIS = {
'host': '127.0.0.1',
'port': '6379',
'db': 0,
'password': ''
}
jobstores = {
'redis': Redi... | null | wypt-scheduler/main.py | main.py | py | 886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apscheduler.jobstores.redis.RedisJobStore",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "apscheduler.executors.pool.ThreadPoolExecutor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "apscheduler.executors.pool.ProcessPoolExecutor",
"lin... |
611487087 | #Team preQL - Joseph Lee, Eric "Morty" Lau, and Yevgeniy Gorbachev
#SoftDev1 pd1
#K18 -- Average
#2019-10-10
import sqlite3 #enable control of an sqlite database
import csv #facilitate CSV I/O
DB_FILE="discobandit.db"
db = sqlite3.connect(DB_FILE) #open if file exists, otherwise create
c = db.cursor() ... | null | fall/18_db-nmcrnch/db_builder.py | db_builder.py | py | 1,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 19,
"usage_type": "call"
}
] |
459502265 |
import json
import glob
"""
Grabs the name of each pattern in our set of PNG patters, maps it to its
filepath, and spits it to JSON.
"""
patterns = {}
for f in glob.glob("converted-pngs/*.png"):
root = f.split(".")[0].split("/")[1]
patterns[root] = f"/assets/patterns/{f}"
with open("./patterns.json", "w") ... | null | assets/patterns/create-patterns.py | create-patterns.py | py | 356 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 17,
"usage_type": "call"
}
] |
23252652 | """Functions and classes for use in dashboard.models
"""
import os
import operator
import json
import time
import logging
from uuid import uuid4
from datetime import datetime
from sqlalchemy.orm.collections import MappedCollection, collection
import flask_apscheduler
from dashboard import scheduler
logger = logging... | null | dashboard/models/utils.py | utils.py | py | 2,713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.collections.MappedCollection",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "operator.attrgetter",
"line_number": 24,
"usage_type": "call"
},
{
... |
56574117 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 16 19:24:16 2019
@author: Julia
"""
import googlemaps
import time
import pyrebase
import random
import os
config ={
"apiKey": "AIzaSyAMpfbvKqf5vK-dzz5H2Osu6CJ5d1ionA0",
"authDomain": "misproject-65629.firebaseapp.com",
"databaseURL": "https:/... | null | GMA_all.py | GMA_all.py | py | 2,627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "googlemaps.Client",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "random.sample",
... |
341368741 | from rest_framework import serializers
from .models import Campaign, Message, MessageStats
from contacts.models import ContactList
class DynamicFieldsModelSerializer(serializers.ModelSerializer):
def __init__(self, *args, **kwargs):
"""
Allow to specify `fields` attribute while
instantia... | null | api/campaigns/serializers.py | serializers.py | py | 2,477 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.HyperlinkedRelatedField",
"line_number": ... |
481416340 | #GitHub: koopaduo2
#Reddit: koopaduo
#Optical Engineer
#Custom Raspberry Pi laser image acquisition and beam profiling GUI
#The code has been developed and tested on Raspberry Pi 4B & Raspbian + arducam & raspi HQ cameras
#Version: v1.1
#This software is made available via MIT license
#GitHub project link: htt... | null | beam_gui.py | beam_gui.py | py | 25,764 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "PyQt5... |
280526558 | from django import forms
from django.conf import settings
from crispy_forms.helper import FormHelper
from crispy_forms.layout import ButtonHolder, Div, Field, HTML, Fieldset, Layout, Submit
from .models import Contact
class ContactForm(forms.ModelForm):
message = forms.CharField(required=True, widget=forms.Texta... | null | zaran/contact/forms.py | forms.py | py | 1,653 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.... |
615519530 | __version__="0.1"
from kivy.app import App
from kivy.clock import Clock
from kivy.core.text import LabelBase
from setting import KIVY_FONTS
from time import strftime
class ClockApp(App):
def update_time(self, nap):
self.root.ids.time.text = strftime('[b]%H[/b]:%M:%S')
sw_started = False
sw_seconds = 0
def up... | null | clockapp/main.py | main.py | py | 1,303 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kivy.app.App",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "kivy.clock.Clock.schedule_interval",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "kivy.clo... |
153708091 | # coding: utf-8
from __future__ import absolute_import
from flask import json
from swagger_server.models.id import Id # noqa: E501
from swagger_server.test import BaseTestCase
class TestAdminsController(BaseTestCase):
"""AdminsController integration test stubs"""
def test_dump_db(self):
"""Te... | null | swagger_server/test/test_admins_controller.py | test_admins_controller.py | py | 1,119 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "swagger_server.test.BaseTestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "swagger_server.models.id.Id",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.json.dumps",
"line_number": 34,
"usage_type": "call"
},
{
"api... |
73482301 | # !/usr/bin/env python
import os
import glob
import progressbar
import numpy as np
import os.path as osp
import scipy.io as sio
GROUND_TRUTH = 'groundTruth'
FOLDER = 'data/Lab5Images'
def main():
bar = progressbar.ProgressBar()
files = glob.glob(FOLDER + '/*.mat')
for file in bar(files):
data = ... | null | Lab6-Superpixels/src/process.py | process.py | py | 735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "progressbar.ProgressBar",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"li... |
458520049 | #!/usr/local/bin/python3.8
import time
import cgi
fileIn = open('datafile1.dat', 'r')
clientDT=['Name','Address','Balance']
clientDL=[]
line = fileIn.readline()
while line != '':
clientRec=line.split('_')
if len(clientDL) == 0:
if clientRec[2] == 'D':
clientDL.append(dict(zip(clientDT,
... | null | cgisb/sbsort.py | sbsort.py | py | 2,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "time.ctime",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 104,
"usage_type": "call"
}
] |
23669581 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
cap.set(3,320)
cap.set(4,240)
#cap.set(15,0.1)
def track():
_,video = cap.read()
video = cv2.flip(video, 0)
hsv = cv2.cvtColor(video, cv2.COLOR_BGR2HSV)
#data = np.array([0,0,0])
lower = np.array([0,97,0])
upper = np.array([255,38,255])
colors = (0,140,25... | null | balltrack2.py | balltrack2.py | py | 905 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_n... |
185097505 | #! /usr/bin/env python3
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope tha... | null | shuffle_bam.py | shuffle_bam.py | py | 2,331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "signal.signal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "signal.SIGPIPE",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "signal.SIG_DFL",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "argparse.Argument... |
151828117 | import astor
import ast
from tree_walk import *
from trace import *
def func(a, b):
if a >= 3:
a += 3
func(4, 2)
if a <= 7:
b -= 3
func(4, 2)
if b != 0:
func(4, 2)
return Fals... | null | Downloads/randoop-4.1.2/demo/cw3/backup.py | backup.py | py | 1,716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "astor.code_to_ast",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ast.If",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "astor.to_source",
"line_number": 61,
"usage_type": "call"
}
] |
523665618 | import json
from pystac import STACError
from pystac.collection import Collection
from pystac.stac_io import STAC_IO
from pystac.item import Item
from pystac.item_collection import ItemCollection
class SingleFileSTAC(ItemCollection):
"""Provides a set of Collections and Items as a single file catalog. The single... | null | pystac/extensions/single_file_stac.py | single_file_stac.py | py | 5,631 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pystac.item_collection.ItemCollection",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "pystac.stac_io.STAC_IO.read_text",
"line_number": 80,
"usage_type": "call"
},
{
... |
39720784 | from logging import exception
import os
from datetime import datetime
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives import serialization, hashes, hmac, padding
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from cryptography.hazmat.pr... | null | server/security_module.py | security_module.py | py | 21,976 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base64.b64encode",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "cryptography.hazmat.primitives.ciphers.modes",
"line_number": 124,
"usage_type": "name"
},
{
"a... |
317965052 | from django.shortcuts import render,redirect
from django.http import HttpResponse
from django.views.generic import ListView, DetailView, CreateView
from django.contrib import messages
from .models import Post
from .forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm, CommentForm, PostForm
from django.contr... | null | insta/views.py | views.py | py | 3,129 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Post.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "forms.Po... |
390695563 | """IOC_project_1 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | null | zhl-project/IOC_project_1/urls.py | urls.py | py | 1,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Threat_Search.views.html_index",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "Threat_Search.views",
"line_number": 23,
"usage_type": "name"
},
{
"api_name... |
498450748 | from dorna import Dorna
import json
import time
import sys
import signal
import os
robot = None
rest_joint = [0,110,-90,30,-90]
def try_connect():
global robot
robot = Dorna()
result = json.loads(robot.connect(port_name='/dev/cu.usbmodem1424401'))
if (result["connection"] == 2) :
print("Connected successfully ... | null | dorna/sample_code/connect_and_home.py | connect_and_home.py | py | 1,350 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dorna.Dorna",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 38,... |
132484709 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from collections import deque
import sys
import getopt
def dfs_search_recursive(graph, root, visit_fn):
search_queue = deque()
search_queue += graph[root]
searched = []
while search_queue:
item = search_queue.popleft()
#debu... | null | search/dfs.py | dfs.py | py | 1,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
51004428 | import discord
from discord.ext import commands
import os
client = commands.Bot(command_prefix=commands.when_mentioned_or('ur '), description="ShanerBot is too cool for any discord server.")
for filename in os.listdir("./cogs"): # loads all cogs
if filename.endswith(".py"):
client.load_extension(f"... | null | bot.py | bot.py | py | 578 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.when_mentioned_or",
"line_number": 5,
"usage_type": "call"
},
{
... |
42483708 | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
"""
Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.
This program is free software; you can redistribute it and/or modify
it under the terms of the Apache License Version 2.0.You may not use
this file except in compliance with the License.
This program ... | null | python/level1_single_api/9_amct/amct_caffe/mobilenetV2/src/datasets.py | datasets.py | py | 6,250 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.realpath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_nu... |
170481774 | import cv2
from feature_extractor import FeatureExtractor
import numpy as np
import warnings
class ColorFeatureExtractor(FeatureExtractor):
def __init__(self, n=10, chanel_h=10, chanel_s=10, chanel_v=10):
self._chanel_h = chanel_h
self._chanel_s = chanel_s
self._chanel_v = chanel_v
... | null | src/color_feature_extractor.py | color_feature_extractor.py | py | 3,709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "feature_extractor.FeatureExtractor",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "cv2.COLO... |
509706454 | import json
from django.contrib.auth.decorators import login_required
from django.core.mail import send_mail
from django.http import JsonResponse, HttpResponseRedirect
from django.shortcuts import render, redirect
from Products.models import Product
from Orders.models import Order
from django.template.loader import re... | null | BestStore/Orders/views.py | views.py | py | 3,051 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Orders.models.Order.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
... |
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