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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
465511357 | import redmine
from redmine import Redmine
from typing import List, Set, Sequence, Dict
from collections import defaultdict, OrderedDict
from redmine.resources import Issue, Note
from copy import deepcopy
from pprint import pprint
import os, sys, pathlib
import mistune
from pygments import highlight
from pygments.util... | null | redminer/__main__.py | __main__.py | py | 3,626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "mistune.Renderer",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "mistune.escape",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygments.lexers.get... |
347003576 | """Utilities for unit testing and sanity checking estimators."""
import copy
import functools
import math
import pickle
import random
import numpy as np
__all__ = ['check_estimator']
def yield_datasets(model):
from river import compose
from river import datasets
from river import preprocessing
fro... | null | river/utils/estimator_checks.py | estimator_checks.py | py | 6,732 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "river.utils.inspect.ismoregressor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "river.utils.inspect",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "river.utils",
"line_number": 24,
"usage_type": "name"
},
{
"api_name":... |
62381046 | # -*- coding=utf-8 -*-
from django.conf import settings
from models import *
from agents import get_uc_internal_domain_list
from utils import *
import logging
import sys
logger = logging.getLogger(__name__)
def class_name_to_class(model_cls_name):
model_cls = getattr(sys.modules[__name__], model_cls_... | null | applications/user_center/sync.py | sync.py | py | 3,359 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.modules",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "agents.get_uc_internal_domain_list",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "... |
532542807 | # Copyright 2016 The TensorFlow 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 applica... | null | slim/datasets/convert_deepfashion.py | convert_deepfashion.py | py | 7,570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tensorflow.string",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.image.decode_jpeg",
"line_number": 52,
"usage_type": "call"
},
{
"api_na... |
255598573 | import os
from tensorflow.keras.preprocessing import image
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.utils import to_categorical
import random,shutil
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dropout,Conv2D,Flatten,Dense, MaxPooling2D, Batc... | null | model.py | model.py | py | 2,501 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "google.colab.drive.mount",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "google.colab.drive",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 15,
"usage_type": "call"
},
... |
270496292 | # Implementation of 2nd in "Byzantine-Resistant Total Ordering Algorithms" by Louise E. Moser and P. M. Melliar-Smith
# Only Byzantine nodes are supposed. Hence k_c = 0, N_d = N_v > 2/3 * N, N_v > 1/3 * N
import datetime
import os
import collections
import matplotlib.pyplot as plt
from src.gnode import GenericNode
i... | null | src/node21.py | node21.py | py | 12,363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DE... |
285309528 | from flask import render_template, request, redirect, url_for,abort
from flask_login import login_required
from . import main
from ..models import Comment, User, Post
from .forms import CommentForm, UpdateProfile, PostForm
from flask_login import login_required,current_user
from ..import db,photos
@main.route("/",met... | null | app/main/views.py | views.py | py | 2,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post.query.filter_by",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Post.query",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name... |
275756807 | # -*- coding: utf-8 -*-
#
# This file is part of hepcrawl.
# Copyright (C) 2016, 2017 CERN.
#
# hepcrawl is a free software; you can redistribute it and/or modify it
# under the terms of the Revised BSD License; see LICENSE file for
# more details.
"""Spider for MAGIC."""
from __future__ import absolute_import, divis... | null | hepcrawl/spiders/magic_spider.py | magic_spider.py | py | 6,414 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spiders.XMLFeedSpider",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "utils.spli... |
481444348 | import numpy as np
import os
import sys
sys.path.append('/home/ng213/code/sharpy/')
import matplotlib.pyplot as plt
import sharpy.linear.src.libsparse as libsp
import scipy.linalg as sclalg
import scipy as sc
import sharpy.linear.src.lin_aeroelastic as linaeroelastic
import sharpy.linear.src.libss as libss
import case... | null | 07_RigidBodyModes/02_IndividualAeroelasticModes/individual_modes.py | individual_modes.py | py | 18,194 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number"... |
71299950 | import psutil
import os
import base64
import gzip
import glob
from StringIO import StringIO
import platform
import subprocess
import robot.variables
from robot.api import logger
from cryptography import Cryptography
from src.mock.server.defaults import Config
import random
from collections import defaultdict
__author_... | null | src/utils/Utilities.py | Utilities.py | py | 15,652 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "platform.system",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "windows.Utilities.Utilities",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "platform.... |
573779823 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 4 00:25:04 2018
@author: stutishukla
"""
import math
import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread("/Users/stutishukla/Downloads/proj1_cse573/task2.jpg", cv2.IMREAD_GRAYSCALE)
a=np.asarray(img)
def getDimensionsO... | null | Project1/Task2/gauss3.py | gauss3.py | py | 10,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
... |
312919690 | from django.conf import settings
from django.shortcuts import redirect, render
from django.http import HttpResponse
from django.template import loader
from appMisEstacionamientos.forms.loginForms import LoginForm
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators impor... | null | misEstacionamientos/appMisEstacionamientos/views/loginView.py | loginView.py | py | 1,748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "appMisEstacionamientos.forms.loginForms.LoginForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 19,
"usage_... |
417697651 | #! /usr/bin/python
# -*- coding: utf8 -*-
from common.brower_select import Brower_Select
import unittest
import time
import os
from common.logger import Logger
from common import login
# from src.test.common.my_brower import My_bower
mylogger = Logger(logger='RunTest').getlog()
class TestLogin(unittest.TestCase):
... | null | MZ/src/test/caseinfo/runbower.py | runbower.py | py | 1,529 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.logger.Logger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "common.brower_select.Brower_Select",
"line_number": 16,
"usage_type": "call"
},
{
"ap... |
634635590 | from rest_framework import generics,mixins
from .models import URL
from .serializers import URLCreateSerializer
from rest_framework.views import APIView
from rest_framework import permissions
from rest_framework.response import Response
from .extractor import get_features
from .final_prediction import pred
import math ... | null | urlshortner/shortner/views_api.py | views_api.py | py | 1,717 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "serializers.URLCreateSerializer",
"line_number": 13,
"usage_type": "na... |
205530125 | # -*- coding: utf-8 -*-
###############################################################################
# Author: Nicolas Pécheux <nicolas.pecheux@limsi.fr>
# 20, October 2012
# Information Retrieval Project - Paris Diderot
###############################################################################
"""A class fo... | null | project/src/database.py | database.py | py | 3,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 95,
"usage_type": "call"
}
] |
141414119 | import gzip
from io import BytesIO
from flask import current_app as app
from flask import redirect
from flask import render_template as rt
from flask import request, send_from_directory, url_for
from htmlmin.main import minify
from . import __version__
@app.route("/")
def create():
"""View to create a secret.""... | null | shhh/views.py | views.py | py | 1,825 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.current_app.route",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.current_app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask... |
95085 | #!/usr/bin/env python3
'''
Class to play audio files, randomly, from subfolders
'''
import random
import glob
import pygame
import logging
resource_dir = "resources/"
warn_short_dir = resource_dir + "warn-short/"
warn_long_dir = resource_dir + "warn-long/"
reward_dir = resource_dir + "reward/"
pygame.mixer.init()
... | null | soundbox.py | soundbox.py | py | 1,070 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.mixer.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"li... |
480867613 | import numpy as np
import torch
import torch.nn.functional as F
import data
import math
def mask_x(x, max_len = 11):
# b句话,每句话11个词,这里是还没embed的
# x = [b, 11]
# 判断每个词是不是<PAD>
# 在数字化文本进行掩码表示，在字典中为<PAD>的进行掩饰, result:[true,false, ....]
mask = x == data.zidian['<PAD>']
# [b, 11] -> [b, 1, 1, 11]
... | null | Version_5/transformer_attention/transformer_demo_green/Utils.py | Utils.py | py | 3,071 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data.zidian",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.triu",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.long",
"line_number"... |
42895400 | """core URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based ... | null | urls.py | urls.py | py | 1,601 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "login.views.webhome",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "login.views",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django.conf... |
370387978 | from functools import lru_cache
@lru_cache(maxsize=None)
def allStrs(alpha, length):
if length == 0:
return ['']
else:
result = []
for a in alpha:
for rest in allStrs(alpha, length - 1):
result.append((a + rest))
return result
def allPalsLenN(n, al... | null | misc/find_number.py | find_number.py | py | 1,351 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.lru_cache",
"line_number": 4,
"usage_type": "call"
}
] |
546140772 | import sys
import os
import re
from pathlib import Path
from contextlib import contextmanager
from tempfile import NamedTemporaryFile
import waitress
import flask
from werkzeug.wsgi import responder, FileWrapper
from werkzeug.wrappers import Request
from paste.cgiapp import CGIApplication
from globus_sdk import (Na... | null | lfs.py | lfs.py | py | 12,340 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "pa... |
68589714 | from os.path import basename as _basename
form_name=_basename(__file__).split('.')[0].split('_')[-1]
is_form = {
'dcd': form_name,
'DCD': form_name
}
def to_mdtraj(item, topology=None, selection=None, syntaxis="mdtraj"):
if not topology:
raise ValueError('"topology" argument is required for ... | null | molmodmt/forms/files/api_dcd.py | api_dcd.py | py | 904 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.basename",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "molmodmt.convert",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mdtraj.load_dcd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mdtraj.load_dcd",
... |
603549622 | import requests
class RequestSpider:
def __init__(self):
url = 'https://www.baidu.com'
headers = {"User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
" AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36"}
self.response = requests.get(url, header... | null | 爬虫test/test.py | test.py | py | 1,224 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
}
] |
245078273 | import sys
import array
import dbus, dbus.mainloop.glib
from gi.repository import GLib
from classesDefinitions import Advertisement
from classesDefinitions import register_ad_cb, register_ad_error_cb
from classesDefinitions import Service, Characteristic
from pprint import PrettyPrinter
import time
prettyPrint = Pret... | null | garbageFiles/serverBluetoothSettings.py | serverBluetoothSettings.py | py | 7,803 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pprint.PrettyPrinter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "classesDefinitions.Characteristic",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "classesDefinitions.Characteristic.__init__",
"line_number": 39,
"usage_type": "cal... |
489047596 | import torch
from torchvision import datasets, transforms
import numpy as np
class MNIST(object):
def __init__(self,
data_dir='~/data/mnist',
cuda=False,
num_workers=4,
batch_size=64,
shuffle=True):
gpu_conf = {
... | null | data.py | data.py | py | 4,073 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 18,
"usage_type": "call"
},
{
... |
514929792 | import boto3
from moto import mock_s3
from moto import mock_sts
from security_monkey.watchers.s3 import S3
from ..datastore import Account, Technology, Item, ExceptionLogs, AccountType
from . import SecurityMonkeyTestCase, db
class S3TestCase(SecurityMonkeyTestCase):
def pre_test_setup(self):
account_typ... | null | security_monkey/tests/test_s3.py | test_s3.py | py | 1,901 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datastore.AccountType.query.filter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datastore.AccountType.query",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "datastore.AccountType",
"line_number": 12,
"usage_type": "name"
},
... |
211287156 | import numpy as np
from math import exp
import matplotlib.pyplot as plt
cov_cal = lambda X,Y,sigma: np.array([exp(-(x-y)**2/2/sigma**2)
for x in X for y in Y]).reshape(len(X),len(Y))
def posterior_GP(X,X_train,y_train,sigma):
cov_given = cov_cal(X_train,X_train,sigma)
cov_X = cov_... | null | EECS-545-Machine-Learning/homework2/prob4.py | prob4.py | py | 1,268 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.inv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number":... |
449173402 | # -*- encoding: utf-8 -*-
from __future__ import absolute_import
from functools import partial
from django.db.models.query import QuerySet, ValuesQuerySet
from django.db.models.query_utils import Q
from . import settings
from .deletion import PermanentCollector
class PermanentQuerySet(QuerySet):
def get_resto... | null | django_permanent/query.py | query.py | py | 3,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.query.QuerySet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "deletion.PermanentCollector",
"line_number": 49,
"usage_type": "call"
},
{
"api... |
491497924 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.font_manager import FontProperties
from scipy import integrate
from scipy import special
from scipy import signal, interpolate
import constnumberfile as cn
from numba import jit
impo... | null | functionfilerevision.py | functionfilerevision.py | py | 8,903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.run",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "constnumberfile.ob... |
16139064 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import json
import logging
import pytest
from django.core.urlresolvers import reverse
from django.forms import model_to_dict
from django_dynamic_fixture import G
from rest_framework.test import APIClient
from strategy_field.utils import ... | null | tests/test_viewset.py | test_viewset.py | py | 3,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django_dynamic_fixture.G",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django_dynamicfields.models.CustomFieldDefs.objects.add_to_model",
"line_number": 28,
"usage_t... |
8919803 | import unpaddedbase64
from Crypto.Cipher import AES
from Crypto.Util import Counter
from Crypto import Random
from Crypto.Hash import SHA256
def encrypt_attachment(plaintext):
"""Encrypt a plaintext in order to send it as an encrypted attachment.
Args:
plaintext (bytes): The data to encrypt.
Ret... | null | libs/matrix_client/matrix_client/crypto/encrypt_attachments.py | encrypt_attachments.py | py | 2,456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Crypto.Random.new",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Crypto.Random",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "Crypto.Util.Counter.new",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Crypto.Util.C... |
620386072 | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | null | docs/conf.py | conf.py | py | 4,776 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "un... |
493817651 |
import getpass
import json
import requests
import urllib
import csv
class Robinhood:
endpoints = {
"login": "https://api.robinhood.com/api-token-auth/",
"investment_profile": "https://api.robinhood.com/user/investment_profile/",
"accounts":"https://api.robinhood.com/accounts/"... | null | Robinhood.py | Robinhood.py | py | 13,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.session",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "urllib.request.getproxies",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "getpas... |
263131847 | from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.sql import SparkSession, Row, SQLContext
from pyspark.sql.functions import *
from pyspark.sql.types import *
from pyspark.streaming.kafka import KafkaUtils
from configparser import ConfigParser
import json
from kafka import Kaf... | null | spark/streamSensors.py | streamSensors.py | py | 4,743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.config",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 24,
"usage_type": "at... |
291485994 |
from django.conf.urls import patterns, url
urlpatterns = patterns("cartridge.shop.views",
url("^product/(?P<slug>.*)/$", "product", name="shop_product"),
url("^wishlist/$", "wishlist", name="shop_wishlist"),
url("^cart/$", "cart", name="shop_cart"),
url("^checkout/$", "checkout_steps", name="shop_chec... | null | cartridge/shop/urls.py | urls.py | py | 470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "djan... |
446213256 | # Copyright (C) 2020 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""
Assessment generator hooks
We are applying assessment template properties and make
new relationships and custom attributes
"""
from datetime import datetime
import collections
import itertools
im... | null | src/ggrc/models/hooks/assessment.py | assessment.py | py | 20,006 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ggrc.utils.referenced_objects.get",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "ggrc.utils.referenced_objects",
"line_number": 65,
"usage_type": "name"
},
{
... |
117840911 | from random import randint
from time import sleep
import pandas as pd
import pytest
from cognite.client import CogniteClient
from cognite.client.stable.time_series import TimeSeries, TimeSeriesListResponse, TimeSeriesResponse
timeseries = CogniteClient().time_series
@pytest.fixture(autouse=True, scope="class")
def... | null | tests/test_stable/test_timeseries.py | test_timeseries.py | py | 2,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cognite.client.CogniteClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cognite.cl... |
73838873 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 29 16:23:33 2018
@author: natalie
"""
import boto3
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mlxtend.preprocessing import TransactionEncoder
import random
from mlxtend.frequent_patterns import apriori
import pyfpgr... | null | Archive/Growth_test_AWS2.py | Growth_test_AWS2.py | py | 11,836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.client",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"lin... |
53008665 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 11 15:52:52 2015
@author: banano
"""
import numpy as np
import h5py
import matplotlib.pyplot as plt
from numpy.linalg import eigvalsh, eigh
from math import floor
# h5 filename to capture the results of this simulation
#Functions that generate Floquet matrix and find... | null | Molmer/MolmerFloquet.py | MolmerFloquet.py | py | 3,689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number"... |
191866372 | '''
Created on Feb 23, 2016
@author: Max Ruiz
'''
import math
import random
#import analytics
from analytics import average_nearest_neighbor_distance
from point import Point
def g_function(pointsArr, d):
gPrime = 0
for x in pointsArr:
shrtDist = 100000
for y in pointsArr:
if x == ... | null | utils.py | utils.py | py | 4,403 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.seed",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "point.Point",
"line_num... |
354475050 | import numpy as np
import os
import pickle
import csv
import datetime as dt
import feature_extraction_helper as feh
from scipy.signal import medfilt
def preprocess_data(char_set,input_case=["all"],log_buffer=dt.timedelta(seconds=1)):
"""
Arguments:
char_set: set of characters for which input has to be cons... | null | Code/data_processing.py | data_processing.py | py | 15,613 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number... |
386829895 | import os
import pandas as pd
from imblearn.under_sampling import RandomUnderSampler
from contextlib import contextmanager
import psutil
import time
@contextmanager
def timer_memory(name):
t0 = time.time()
yield
print(
f'Memory: {(psutil.Process(os.getpid()).memory_info().rss/2**30):.02f}GB')
... | null | 1.undersampling.py | 1.undersampling.py | py | 1,242 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "psutil.Process",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 16,... |
531089033 | # -*- coding: utf-8 -*-
"""Application setup script"""
import os
from setuptools import setup, find_packages
def read(path):
"""Return file contents."""
with open(path) as file_object:
return file_object.read()
# allow setup.py to be run from any path
os.chdir(os.path.dirname(os.path.abspath(__file... | null | setup.py | setup.py | py | 788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_num... |
438554681 | import cv2
import numpy as np
import matplotlib.pyplot as plt
#
# img = cv2.imread('C:/Users/cliff/PycharmProjects/pinDetect/image1.jpg', cv2.IMREAD_GRAYSCALE)
#img = cv2.imread('C:/Users/cliff/PycharmProjects/pinDetect/image1.jpg', cv2.COLOR_BGR2GRAY)
# img = cv2.imread('C:/Users/cliff/PycharmProjects/pinDetect/... | null | BaseTests1.py | BaseTests1.py | py | 1,226 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line... |
86545887 | from auth.decorators import authanticate
from auth.dao import photographer_profile
from auth.dao.photographer_profile import PhotographerPortfolioDao, PhotographerPorfileDao
from query.models import Address
from database_connection.decorator import atomic_tarnsaction
from exceptions.dao_exceptions import DaoExceptionEr... | null | auth/services/photographer_profile.py | photographer_profile.py | py | 4,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "auth.dao.photographer_profile.PhotographerPortfolioDao",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "auth.dao.photographer_profile.PhotographerPortfolioDao",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.s3_upload.AWSFileUpload",
... |
316053131 | """empty message
Revision ID: d6ff2681e5a8
Revises:
Create Date: 2020-02-23 17:44:58.581923
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'd6ff2681e5a8'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | null | migrations/versions/d6ff2681e5a8_.py | d6ff2681e5a8_.py | py | 4,573 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
14773915 | import logging
from . import *
TDebug = Type("Debug")
def op_debug(c: AF_Continuation) -> None:
c.stack.push(StackObject(value="Debug",stype=TDebug))
Type.register_ctor('Debug',Operation('debug',op_debug),[StackObject(stype=TAny)])
make_word_context('debug', op_debug, [], [TDebug])
def op_on(c: AF_Continuation)... | null | src/af_types/af_debug.py | af_debug.py | py | 746 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNI... |
452153319 | import numpy as np
import matplotlib.pyplot as plt
W1 = np.loadtxt('weights1AE.txt')
temp = np.empty((150, 784))
for i in range(150):
temp[i] = W1[:,i]
grayscale = np.empty((150,28,28))
for j in range(150):
for i in range(784):
grayscale[j][i // 28][i % 28] = temp[j][i]
fig, axs = plt.subplots(10, ... | null | homework3/plotFeatures.py | plotFeatures.py | py | 491 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.loadtxt",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
286563671 | #!/usr/bin/env python
# -*- coding: utf8 -*-
try:
import unittest2 as unittest
except ImportError:
import unittest
import agate
import agatesql
from sqlalchemy import create_engine
agatesql.patch()
class TestSQL(unittest.TestCase):
def setUp(self):
self.rows = (
(1, 'a'),
... | null | tests/test_agatesql.py | test_agatesql.py | py | 1,257 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "agatesql.patch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "agate.Number",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "agate.Text",
"... |
203918659 |
# coding: utf-8
#
# Portfolio payoff routines
#
# These routines take a portfolio of call and put options and plots the payoff functions.
# In[ ]:
import matplotlib.pyplot as plt
import numpy as np
def get_beta(beta, x):
if x in beta:
return beta[x]
else:
return 1.0
def scale (prices, ... | null | web/home/ipython/examples/portfolio.py | portfolio.py | py | 4,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.vectorize",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
487393376 | from PyQt5.QtWidgets import QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog , QPushButton,QMessageBox
from PyQt5 import QtWidgets, QtCore,QtGui,uic,QtMultimedia
from mainwindow import Ui_MainWindow
from ImageClass import image #Importing class from another python file
import matplotlib.pyplot as plot
from... | null | main.py | main.py | py | 9,868 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidg... |
455974546 | from io import BytesIO
import requests
from PIL import Image
class GoogleStaticMapParser():
def GetString(self, data):
address = data["call_address"]
address_parts = address.split(" ")
address_parts = address_parts + [data["call_city"], "RI", data["call_zip"]]
string1 = "http://maps.googleapis.com/maps/api... | null | alerting_timer/GoogleStaticMapParser.py | GoogleStaticMapParser.py | py | 1,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number":... |
316827277 | import logging
from six import iteritems
def convert_metrics(metrics, tags):
rows = [convert_metric(key, value, tags) for key, value in iteritems(metrics)]
lines = []
for row in rows:
if not row:
continue
first = [row['name']]
if tags:
first = first +... | null | fluxreporter/converter.py | converter.py | py | 1,517 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.iteritems",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "six.iteritems",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_... |
202268409 | from factor_base import FactorBase
import pandas as pd
import numpy as np
import dateutil.parser as dtparser
from dateutil.relativedelta import relativedelta
import datetime
from influxdb_data import influxdbData
from joblib import Parallel, delayed, parallel_backend
from global_constant import N_JOBS
class Surprise(... | null | quant_engine/Factor/Growth/Surprise.py | Surprise.py | py | 5,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "factor_base.FactorBase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "influxdb_data.influxdbData",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.notnull",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nump... |
235995774 | from __future__ import division, print_function
import numpy as np
import tensorflow as tf
cross_entropy = tf.nn.softmax_cross_entropy_with_logits
from time import time
from data import load_mnist, to_gpu
from svae.tf_nnet import init_mlp, tanh, identity
# I wrote this example file to learn TensorFlow and develop a T... | null | examples/neural_net.py | neural_net.py | py | 2,886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.nn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.reduce_mean",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.argmax",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow... |
90727594 | from django.contrib import admin
from utils.utils import export_video, import_presentation
from .models import Course, Slide
class SlideInline(admin.TabularInline):
model = Slide
extra = 0
fields = ('image_url', 'notes', 'audio_url', 'status', 'assigned_to')
readonly_fields = ('image_url', 'audio_url... | null | scholars/courses/admin.py | admin.py | py | 1,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Slide",
"line_number": 8,
"usage_type": "name"
},
{
"api_name":... |
192764071 | """ The Flask app for the samjeeves.com portfolio website """
import json
import os
from datetime import datetime
from flask import Flask, abort, render_template, send_from_directory
from flask_bootstrap import Bootstrap
from flask_assets import Environment, Bundle
from github import Github
app = Flask(__name__)
ass... | null | samjeeves.py | samjeeves.py | py | 4,768 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_assets.Environment",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_... |
387263885 | import requests
from datetime import datetime
from auth import *
def zeropad(zeros, name):
return "0" * (zeros - len(name)) + name
def imageRetrieveTest(atHomeServer, hash, page, quality, chapterID):
mdlink = "https://api.mangadex.org"
link = atHomeServer.json()["baseUrl"] + quality + hash + '/' + page
... | null | sendToImgur.py | sendToImgur.py | py | 7,392 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
140256190 | #!/usr/bin/env python
import datetime
import json
import os
import time
from flask import abort, Flask, jsonify, request
import requests
__version__ = "0.1.3"
app = Flask(__name__)
try:
SLACK_WEBHOOK = os.environ["SLACK_WEBHOOK"]
app.logger.debug("Slack webhook URL found in env variable")
except:
SLACK... | null | pingdom2slack.py | pingdom2slack.py | py | 13,193 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.abort",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number... |
127950030 | import collections
import cv2
import numpy as np
from matplotlib import pyplot as plt
from consts import xm_per_pix, ym_per_pix
class Line:
"""
Model a lane-line.
"""
def __init__(self, buffer_len=10):
# was the line detected in the last iteration?
self.detected = False
# po... | null | line_utils.py | line_utils.py | py | 16,049 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
495909170 |
def dump_list_to_string(lis,template):
if not template:
return lis
assert isinstance(template, (list, tuple, set))
length = len(template)
next_template = None
if length == 1:
cls=template[0]
return str(lis)
if length == 2:
cls, splitchar = template
else:
... | null | build/lib/wpkit/ofile/utils.py | utils.py | py | 5,844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 143,
"usage_type": "call"
}
] |
235747472 | import pickle
from datetime import datetime
class Fix:
def __init__(self, name, value):
self.value = value
if self.value is None:
value = 0
self.name = name
def __str__(self):
s = self.name
if self.name == "Patch":
s = s + ' (' + datetime.fromti... | null | src/models/Fix.py | Fix.py | py | 573 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
}
] |
565318183 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread('bottle.jpg')
rgb = cv.cvtColor(img, cv.COLOR_BGR2RGB)
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
edges = cv.Canny(gray, 100, 200)
plt.subplot(121), plt.imshow(rgb)
plt.title('Origin'), plt.xticks([]), plt.yticks([])
... | null | Homework_submission/opencvex_DingZishuo/3.py | 3.py | py | 436 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_... |
523875767 | import numpy as np
import pandas as pd
from sklearn.metrics import recall_score
def split_dataset_by_study(data, feature_names, excluded_study_labels=(20,)):
"""
:param data: Pandas df containing full newcomb data.
:param excluded_study_labels:
:return:
"""
PAYOFF_DICT = {
1.0: (3, 0.... | null | utils.py | utils.py | py | 4,112 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.nan",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "numpy.isnan",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.recall_score... |
149691971 | import time
import celery
import pytest
from celery_singleton import Singleton
@celery.shared_task(base=Singleton)
def takes_a_sec(*args, **kwargs):
time.sleep(0.5)
return args, kwargs
@celery.shared_task(base=Singleton)
def throws_an_error(*args, **kwargs):
time.sleep(0.5)
raise ValueError('The c... | null | tests.py | tests.py | py | 2,810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "celery.shared_task",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "celery_singleton.Singleton",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
... |
214079754 | #coding: utf-8
import RPi.GPIO as GPIO
import time
#flask
from flask import Flask
#request
from flask import request
pin=16
pir_s=25
GPIO.setmode(GPIO.BCM)
GPIO.setup(pin,GPIO.OUT)
GPIO.setup(pir_s,GPIO.IN)
def send():
try:
while True:
if GPIO.input(pir_s) == Tr... | null | workspace/서버담당/test_s4.py | test_s4.py | py | 773 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"lin... |
393471204 | import openslide
import glob, os, re
import cv2
import numpy as np
import pandas as pd
import matplotlib as mpl
mpl.use('TkAgg')
from matplotlib import pyplot as plt
import time
from multiprocessing import Pool
import shutil
import pickle as pkl
import math
def circularity(cnt):
return 4 * math.pi * cv2.contourArea(c... | null | processing_scripts/processData.py | processData.py | py | 8,934 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.contourArea",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.arcLength",
"line_... |
582912841 | # -----------------------------------------------------------------------
# Additional Documentation
# Author: Thuan Tran
# Date: April 15th.2017
# Randomness and Monte Carlo Method
# Question 2 page 401
# =======================================================================
import ran... | null | Randomness and Monte Carlo Methods 1 /Question2.py | Question2.py | py | 1,836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.random",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number"... |
548724897 | # -*- coding: utf-8 -*-
"""
Update Route53 Records based on Autoscaling event notifications sent via SNS.
To configure your domain you need to specify:
1) Tags per Auto Scaling Group (ASG) :
'srvconfig' such as <Route53Zone:domain.com:prefix:SRV Client:SRV Server:SrvClientPort:SrvServerPort>.
A Route53 entry will be... | null | ansible/roles/kraken.provider/kraken.provider.aws/files/lambda-sns-etcd-service-discovery.py | lambda-sns-etcd-service-discovery.py | py | 8,055 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 70,
"usage_type": "call"
}
] |
401125951 | import cv2
from keras.preprocessing import image
from scipy.ndimage.measurements import label
import lanefind
import numpy as np
def apply_threshold(heatmap, threshold):
# Zero out pixels below the threshold
heatmap[heatmap <= threshold] = 0
# Return thresholded map
return heatmap
def draw_labeled_bbox... | null | convnet-vehicledetect.py | convnet-vehicledetect.py | py | 7,729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 21,
... |
561385761 | # -*- coding: utf-8 -*-
import datetime
# import pandas as pd
from contextlib import contextmanager
from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import os
import stockGF
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
db_path = os.pa... | null | dbwork.py | dbwork.py | py | 12,799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
15138060 | """
Simple demo of a scatter plot.
"""
import numpy as np
import matplotlib.pyplot as plt
def limit():
x = []
y = []
with open("./limit.txt", 'r') as fr:
#x.append(int(fr.readline()))
flag = 0
for line in fr:
if flag == 0:
#print int(line.strip())
... | null | knn/plot.py | plot.py | py | 1,233 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ma... |
242358814 | import logging
from tornado.ioloop import IOLoop
import tornado.web
import tornado.iostream
#import tornado.httpclient
import socket
import urlparse
from base import BaseRequestHandler
from ace import AceClient
class AsyncStreamHttp:
def __init__( self, url, on_data=None, on_close=None, on_headers=None, ioloop=Non... | null | handlers/proxy.py | proxy.py | py | 8,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.IOLoop.current",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.IOLoop",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "urlp... |
17096793 | import torch.nn as nn
import torch, h5py
from torch.autograd import Variable
from torch.utils.data import DataLoader
import numpy as np
import cv2 as cv
import os
from tqdm import tqdm
from skimage.metrics import peak_signal_noise_ratio as psnr
import matplotlib.pyplot as plt
from DnCNN import DnCNN, DnCNN_Res
from DnC... | null | train.py | train.py | py | 8,330 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"l... |
29179677 | import logging
import datetime
from django.db import models
from django.db import connection
from django.shortcuts import reverse
from simple_history.models import HistoricalRecords
class Student(models.Model):
name = models.CharField(max_length=50, db_index=True)
FORM_STUDIES_CHOICES = (
('БЮДЖЕТ', ... | null | hostel/models.py | models.py | py | 6,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name"... |
653028856 | '''
Created on Mar 7, 2017
@author: dicle
'''
import nltk.stem.isri as isri
def _stem1(word):
stemmer = isri.ISRIStemmer()
return stemmer.stem(word)
def _stem_light(word):
from tashaphyne.stemming import ArabicLightStemmer
stemmer = ArabicLightStemmer()
return stemmer.light_stem(word)
... | null | library/modules/language_tools/ar_stemmer.py | ar_stemmer.py | py | 2,061 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.stem.isri.ISRIStemmer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.stem.isri",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tashaphyne.stemming.ArabicLightStemmer",
"line_number": 21,
"usage_type": "call"
},
{
"... |
497874710 | from django.core.management.base import BaseCommand, CommandError
from recommendations.models import TreeCode
from collections import defaultdict
from django.db import transaction
import pandas as pd
import numpy as np
from utils.ImportDataFile import readDataFile
class Command(BaseCommand):
help = 'Generates Tab... | null | recommendations/management/commands/generateTreeCodeTable.py | generateTreeCodeTable.py | py | 6,368 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "recommendations.models.TreeCode.objects.all",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "recommendations.models.TreeCode.objects",
"line_number": ... |
335217364 | import sublime
import json
from ..completions import CompletionList
from ..inline_documentation import Documentation
from .. import utils
COMPLETION_FILES = ["cfml_tags","cfml_functions","cfml_member_functions"]
DOC_STYLES = {
"side_color": "#4C9BB0",
"header_color": "#306B7B",
"header_bg_color": "#E4EEF1",
"text_... | null | src/basecompletions/basecompletions.py | basecompletions.py | py | 5,433 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "completions.CompletionList",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "completions.CompletionList",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "completions.CompletionList",
"line_number": 41,
"usage_type": "call"
},
{
"... |
455537947 | import numpy as np
import cv2
from tkinter import * #Tkinter는 Tcl/Tk에 대한 파이썬 Wrapper로서 Tcl/Tk를 파이썬에 사용할 수 있도록 한 Lightweight GUI 모듈
import tkinter.filedialog as f #이걸로 코드실행 후 원하는 이미지 파일 불러올 수 있음
# 블록 파라볼라 함수 적용
root = Tk()
root.filename = f.askopenfilename(filetypes=(("JPEG files",".jpg"),("ALL files", "*.*... | null | Visual-Processing/4-11 Block Parabola function.py | 4-11 Block Parabola function.py | py | 978 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.IM... |
415061765 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('chatApp', '0003_auto_20150801_0330'),
]
operations = [
migrations.AddField(
model_name='chatmessages',
... | null | realTime/chatApp/migrations/0004_chatmessages_masked_message.py | 0004_chatmessages_masked_message.py | py | 464 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
627058708 | import gym
from gym import error, spaces, utils
from gym.utils import seeding
from utils.flight import Flight
import sys
import numpy as np
import matplotlib.pyplot as plt
class BoeingSafe(gym.Env):
metadata = {'render.modes': ['human']}
def __init__(self):
self.done = False
self.flight = Fli... | null | Enviroment/gym-Boeing/gym_Boeing/envs/boeing_safe.py | boeing_safe.py | py | 2,794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.Env",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.flight.Flight",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gym.spaces.Box",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"lin... |
536777432 | #!/bin/env python3
import cv2 as cv
import numpy as np
import argparse
import tuner.tuner as tuner
def mag(gradient_x, gradient_y):
gradient_mag = np.sqrt(np.square(gradient_x) + np.square(gradient_y))
return np.uint8(255 * (gradient_mag / np.max(gradient_mag)))
def ths(img, ths_min, ths_max):
ret = np... | null | examples/gradient_magnitude.py | gradient_magnitude.py | py | 1,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.square",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 11... |
521860155 | # General libraries
import pandas as pd
import numpy as np
# App libraries
import streamlit as st
import datetime
# import sql DATABASE
from database.sql_tables import database
# Custom libraries
from visuals.forecasts import plot_forecast
############################### STREAMLIT APP #############################... | null | forecasting/streamlit-app/app.py | app.py | py | 1,980 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "database.sql_tables.database",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 21,
"usage_type": "attribute"
},
{
"a... |
188253764 | # -*-coding=utf-8-*-
# @Time : 2019/2/26 14:47
# @File : xltx_app.py
import requests
import pandas as pd
url = 'http://10.18.6.101:8800/bid_list_sync?district=&endtime=&keyword={}&pageno=1&pagesize=10&queryNo=201902211555&starttime=&tender_type=0'
words=['空调','平板电脑']
res =[]
for item in words:
r=requests.get(ur... | null | xltx_app.py | xltx_app.py | py | 595 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
}
] |
74244567 | '''
Introduction to neural networks
This code will introduce:
loss functions
optimizers
training the nn
saving and loading a trained nn
training the nn on a GPU
This will help provide an understanding of:
neurons
weights
biases
l... | null | KIP/simplenn.py | simplenn.py | py | 8,552 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_nu... |
73358819 | """ BTCUSD Price Reporter
Example of a subclassed Reporter.
"""
import asyncio
from typing import Any
from typing import List
from typing import Mapping
from typing import Union
from telliot.model.endpoints import RPCEndpoint
from telliot.reporter.base import Reporter
from telliot.submitter.base import Su... | null | src/telliot/reporter/interval.py | interval.py | py | 3,797 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "telliot.reporter.base.Reporter",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "telliot.model.endpoints.RPCEndpoint",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Mapping",
"line_number": 26,
"usage_type": "name"
},
{
... |
496971429 | import pytest
from indy import agent, IndyError
from indy.error import ErrorCode
@pytest.mark.asyncio
async def test_agent_close_listener_works_for_outgoing(endpoint, wallet_with_identity):
listener_handle = await agent.agent_listen(endpoint)
assert type(listener_handle) is int
wallet_handle, did = wall... | null | wrappers/python/tests/agent/test_agent_close_listener.py | test_agent_close_listener.py | py | 1,145 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "indy.agent.agent_listen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "indy.agent",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "indy.agent.agent_add_identity",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "indy.a... |
155387496 | from transformers import MobileBertTokenizer, TFMobileBertForNextSentencePrediction
import tensorflow as tf
import random
import numpy as np
from Datasets.dataloader import load_dataset
#################################
# MODEL HYPER-PARAMETERS
#################################
EPOCHS = 3
BATCH_SIZE = 32
LEARNING_RATE... | null | Reranking/train.py | train.py | py | 2,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "transformers.TFMobileBertForNextSentencePrediction.from_pretrained",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "transformers.TFMobileBertForNextSentencePrediction",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "transformers.MobileBertToke... |
151298746 | #!/usr/bin/python
"""
script to privision languageivrmapping in vappscb
EN | messages
FR | messages_FR
ES | messages_ES
IT | messages_IT
DE | messages_DE
"""
import pg
languages = {
'EN': 'messages',
'FR': 'messages_FR',
'ES': 'messages_ES',
'IT': 'messages_IT',
'DE... | null | colado/task/g2_languages.py | g2_languages.py | py | 857 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pg.connect",
"line_number": 19,
"usage_type": "call"
}
] |
306633491 | import flask
from flask import Flask, jsonify, request
app = Flask(__name__)
app.config["DEBUG"] = True
class MyPython_Flask:
# Create some test data for our catalog in the form of a list of dictionaries.
books = [
{'id': 0,
'title': 'A Fire Upon the Deep',
'author': 'Vernor Vinge',
'firs... | null | Utilities/MyFlaskProject/api/api.py | api.py | py | 2,298 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
175439885 | # 連想配列
from collections import deque
N = int(input())
ab = {}
abl = []
path = [[] for _ in range(N)]
for i in range(N-1):
a,b = map(int,input().split())
path[a-1].append(b-1)
path[b-1].append(a-1)
abl.append((a-1,b-1))
ab[(a-1,b-1)] = 0
color = [0]*N
color[0] = -1
q = deque([])
q.append(0)
max = 0
... | null | Python_codes/p02850/s335652570.py | s335652570.py | py | 830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
488811439 |
from __future__ import absolute_import
import codecs
import json
from api.errorcode import ErrorCode
from config import setting
from datetime import datetime
from log import logger
from services.cache.progresscache import ProgressCache
from services.collect.import_base import CollectImportBase
from services.collect.m... | null | services/collect/csv_import.py | csv_import.py | py | 40,375 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "services.collect.import_base.CollectImportBase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "services.cache.progresscache.ProgressCache",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "log.logger.info",
"line_number": 41,
"usage_typ... |
607090098 | import pathlib
from io import StringIO
from typing import Any, Dict, List, Union
import dask.dataframe as dd
import numpy as np
import pandas as pd
from ..pipe_base import Data, Params, PipeBase
class MetaData:
varTypes = {
"ind": np.int8, # boolean like: -1 unknown, 0 FAlse, 1 True
"numi": np.... | null | dvb/datascience/data/csv.py | csv.py | py | 6,149 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.int8",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.str",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.str",
"li... |
484792000 | import serializers
from django.contrib import auth
from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.authtoken.models import Token
from rest_framework.decorators import api_view, permission_classes
from rest_framework.exceptions import NotFound
from rest_framework.permiss... | null | home/views.py | views.py | py | 3,745 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "home.models.Post.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "home.models.Post.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "home.models.Post",
"line_number": 19,
"usage_type": "name"
},
{
"api_n... |
165147656 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import ast
import evaluation
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import roc_auc_score
from sklearn.metrics import mean_squared_error
import math
# load the dat... | null | ensemble_problem_level.py | ensemble_problem_level.py | py | 8,895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
564083223 | from __future__ import division
import numpy as np
np.random.seed(123)
import tensorflow as tf
tf.set_random_seed(123)
import funcs
import krs
import keras
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten , advanced_activations
from kera... | null | script.py | script.py | py | 8,783 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "funcs.wha... |
125152410 | """
User-Artist-Song Poisson matrix factorization with Batch inference
CREATED: 2014-03-25 02:06:52 by Dawen Liang <dliang@ee.columbia.edu>
MODIFIED: 2015-03-25 13:06:12 by Jaan Altosaar <altosaar@princeton.edu>
"""
import sys
import numpy as np
from scipy import sparse, special, weave
import pandas as pd
from skl... | null | uaspmf.py | uaspmf.py | py | 23,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_n... |
436368850 | from collections import defaultdict
import re
r1 = r'\[(\d+)-(\d+)-(\d+) (\d+):(\d+)\] ([a-zA-Z]+) (.*)'
r2 = r'#(\d+) .*'
rec = defaultdict(lambda: [0]*60)
def extract(raw):
mg = re.match(r1, raw)
mm = int(mg.group(5))
ev = mg.group(6)
rem = mg.group(7)
return ev, mm, rem
with open('input', 'r')... | null | 2018/04/a.py | a.py | py | 955 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 22,
"usage_type": "call"
}
] |
526385494 | # -*- coding: utf-8 -*-
"""
reV supply curve extent
"""
import logging
import numpy as np
import pandas as pd
from reV.handlers.exclusions import ExclusionLayers
from reV.utilities.exceptions import SupplyCurveError, SupplyCurveInputError
from rex.utilities.utilities import get_chunk_ranges
logger = logging.getLogge... | null | reV/supply_curve/extent.py | extent.py | py | 17,494 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "reV.utilities.exceptions.SupplyCurveInputError",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "reV.handlers.exclusions.ExclusionLayers",
"line_number": 44,
"usage_type... |
344635457 | from flask import Flask
from api import api
from core import db_utils
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///tmp/test.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
api.api.init_app(app)
db_utils.db.init_app(app)
app.app_context().push()
if __name__ == '__main__':
app... | null | app.py | app.py | py | 337 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "api.api.api.init_app",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "api.api.api",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "api.api",
"line_... |
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