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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
563210221 | import tensorflow as tf
from keras.callbacks import ModelCheckpoint
from keras.models import load_model
import os
import gc
import pickle
import numpy as np
from util import *
from dataset import Dataset
from score import report_score
from model import build_mlp
from sklearn.metrics import classification_report
np.ran... | null | main.py | main.py | py | 4,263 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle... |
299561723 | # -*- coding: utf-8 -*-
from selenium import webdriver
import logging
logger = logging.getLogger('services.service_base')
class ServiceBase(object):
def __init__(self, driver=None):
if not driver:
logger.debug('Initializing Firefox driver')
self.driver = webdriver.Firefox()
... | null | tariffs/services/service_base.py | service_base.py | py | 355 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
}
] |
585549799 |
import Tkinter as tk
from ttk import *
import datetime
import sucr_input
import sucr_status_UI
import sucr_sensor_UI
import os
import cv2
from husky_msgs.msg import HuskyStatus
# Manages the visual GUI methods
class WindowManager:
# Initializes the windows of the GUI
def __init__(self,config):
self.config = ... | null | snorkeling_crocodilian_remote/scripts/sucr_gui.py | sucr_gui.py | py | 9,882 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Tkinter.Tk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Tkinter.Frame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Tkinter.Frame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Tkinter.Frame",
"line_numb... |
588774432 | from __future__ import annotations
import datetime
import pydantic
import typing
from pydantic import BaseModel
from swagger_codegen.api.base import BaseApi
from swagger_codegen.api.request import ApiRequest
from swagger_codegen.api import json
class Cliente(BaseModel):
cpf: typing.Optional[str] = None
ende... | null | cliente/apis/clientes/get__api_clientes_cpf.py | get__api_clientes_cpf.py | py | 1,338 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.O... |
524361589 | from __future__ import print_function
import ee
import os
ee.Initialize()
def copy(collection_path,final_path):
assets_list = ee.data.getList(params={'id': collection_path})
assets_names = [os.path.basename(asset['id']) for asset in assets_list]
print('Copying a total of '+str(len(assets_names))+'.....')
... | null | geeadd/batch_copy.py | batch_copy.py | py | 720 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ee.Initialize",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "ee.data.getList",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ee.data",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_... |
307512858 | import sys
sys.path.append('./')
import pandas as pd
import trueskill as th
from importlib import reload
reload(th)
path = './simulacion.csv'
df = pd.read_csv(path)
env = th.TrueSkill(mu=25.0, sigma=25/3, beta=25/6, tau=0.5, draw_probability=0.0, )
player = {}
ptrueskill = {}
# Can define an other Prior
globalPrior =... | null | Analisis/simulacion/trueskill_original.py | trueskill_original.py | py | 783 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "importlib.reload",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
68811188 | import sys, os
sys.path.insert(0, os.getenv("HOME")+'/dark/common') # add folder of Class
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import healpy as hp
import pylab as pl
import operator
from restore import restore
## Read NHI fro... | null | dust/tau2nh/patch_cut_94src.py | patch_cut_94src.py | py | 3,489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "restore.restore",
"line_numb... |
155998108 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 11 18:07:06 2020
@author: Raj
"""
import pyUSID as usid
import ffta
from ffta.pixel import Pixel
from ffta.pixel_utils import badpixels
import os
import numpy as np
from ffta.load import get_utils
from pyUSID.processing.comp_utils import parallel_compute
from pyUSID.io.w... | null | ffta/hdf_utils/process.py | process.py | py | 16,945 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyUSID.Process",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pyUSID.hdf_utils.get_attributes",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "pyUSID.hdf_utils",
"line_number": 91,
"usage_type": "attribute"
},
{
"api_nam... |
351232263 | import facebook
import sys
import os
import time
from random import randint
from datetime import datetime
from pymongo import MongoClient, DESCENDING, ASCENDING
organization = "HackMcGill" #could be an environment variable
sessionKey = os.environ['FB_SESSION_KEY']
pageID = os.environ['FB_PAGE_ID']
client = MongoClient... | null | poster.py | poster.py | py | 2,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
565745369 | import unittest
from unittest.mock import Mock, call
from scripts.FirestoreClient import FirestoreClient
class TestFirestoreClient(unittest.TestCase):
def test_set_peoples(self):
paul = {
'name': 'Paul',
'text': 'Beautiful summary of paul',
'birth_date': '13 april 1990... | null | back/tests/FirestoreClient_test.py | FirestoreClient_test.py | py | 1,758 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scripts.FirestoreClient.FirestoreClient",
"line_number": 30,
"usage_type": "call"
},
{
"... |
116419381 | import numpy as np
import imageio
import glob
def load_mnist():
# Loads the MNIST dataset from png images
NUM_LABELS = 10
# create list of image objects
test_images = []
test_labels = []
for label in range(NUM_LABELS):
for image_path in glob.glob("/Users/ZwYu/Desktop/... | null | load_mnist.py | load_mnist.py | py | 1,570 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "imageio.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "imageio.imread",
"line_number"... |
44227258 | from __future__ import absolute_import, division, print_function
import re
import numpy as np
from qtpy.QtCore import Qt
from qtpy import QtGui
from qtpy.QtWidgets import (QDialog, QApplication, QPushButton, QLabel, QWidget,
QHBoxLayout, QVBoxLayout, QLineEdit, QComboBox)
from astropy.st... | null | cubeviz/tools/collapse_cube.py | collapse_cube.py | py | 22,950 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sum",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.median",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.std",
"lin... |
192249130 | import serial
import struct
import re
import threading
import time
import config
# test = serial.Serial("COM14", 9600,bytesize=8, parity='N',timeout=200)
global_flag = 1
# target_mode = 'PS'
target_mode = 'BT'
class SerialPort:
message = ''
def __init__(self, port, buand):
super(SerialPort, self).__in... | null | set_mode.py | set_mode.py | py | 2,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number"... |
533265853 | from DatasetCreator import DatasetCreator
import sys
import pandas as pd
import os
sys.path.append("/home/usi/Documents/Drone/FrontNetPorting")
import config
def CreatePickle(subject_name, rosbagfolder, delay=0):
rosbagName = rosbagfolder + subject_name + ".bag"
pickleName = config.folder_path + "/../Pickles/1... | null | DataProcessing/HimaxScripts.py | HimaxScripts.py | py | 2,277 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.folder_path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "DatasetCreator.Da... |
397421335 |
import time
from django.http import HttpResponse, HttpResponseRedirect
from django.template import loader
from .models import *
from forum.models import ForumMember
import operator #for sorting objects from different tables in one aggregated list
from .forms import UploadSonForm, SubscribeForm
from django.shortcuts i... | null | views.py | views.py | py | 9,917 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 53,
"usage_type": "call"
},
{
... |
638136417 | import logging
import time
from datetime import datetime
from typing import Any, List, Optional, Union, Dict
def is_list(x: Any) -> bool:
"""Check if input is a list or list-like.
Parameters
----------
x: any
the object being checked, usually a frame/list of
frames or record in the proc... | null | ink/core/forge/joins/core/utils.py | utils.py | py | 5,512 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Any",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 43,... |
601993484 | #!/usr/bin/env python3
from pgmpy import Exceptions
import numpy as np
from collections import OrderedDict
from pgmpy.Factor._factor_product import _factor_product
import functools
class Factor:
"""
Base class for *Factor*.
>>> phi = Factor(['x1', 'x2', 'x3'], [2, 2, 2], np.ones(8))
Defined above, ... | null | pgmpy/Factor/Factor.py | Factor.py | py | 11,499 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.OrderedDict",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.double",
"l... |
379839511 | '''
Created on Jun 25, 2017
@author: Justin Veyna and Paxton Wong
'''
import SaveLoader as sl
from collections import defaultdict
PROGRESS_FILE = "data_files/SavedProgress.p"
def load_progress_from_file():
char_dict = defaultdict(int)
try:
char_dict = sl.pickle_load(PROGRESS_FILE)
except:
... | null | ProgressLoader.py | ProgressLoader.py | py | 551 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "SaveLoader.pickle_load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "SaveLoader.pickle_save",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": ... |
450049232 |
import os
import pytest
@pytest.fixture
def test_file(tmpdir):
"""Fixture for providing a test file to pass to mwcp."""
file_path = os.path.join(str(tmpdir), 'test.txt')
with open(file_path, 'wb') as f:
f.write(b"This is some test data!")
return file_path
@pytest.fixture
def test_dir(tmpdi... | null | tests/conftest.py | conftest.py | py | 1,165 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line... |
595594792 | from django.conf.urls import url
from . import views
app_name = 'ui'
urlpatterns = [
url(r'^signup$', views.signup, name='signup'),
url(r'^main$', views.landing, name='landing'),
url(r'^league/join$', views.league_join, name='league_join'),
url(r'^league/join/submit$', views.league_join_submit,
... | null | ui/urls.py | urls.py | py | 1,065 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
619946361 | from tester import *
from PIL import Image, EpsImagePlugin
import io
if not EpsImagePlugin.has_ghostscript():
skip()
# Our two EPS test files (they are identical except for their bounding boxes)
file1 = "Tests/images/zero_bb.eps"
file2 = "Tests/images/non_zero_bb.eps"
# Due to palletization, we'll need to conve... | null | Tests/test_file_eps.py | test_file_eps.py | py | 4,047 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.EpsImagePlugin.has_ghostscript",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.EpsImagePlugin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PI... |
385398032 | """
WIP
"""
from curses import cbreak, nocbreak, echo, noecho, flushinp, KEY_RIGHT, KEY_LEFT
from redditclient import RedditClient
class CursesClient(object):
"""
Handles drawing the text based UI
"""
__FLUSH = 0
__MARGIN_Y = 2
__MARGIN_X = 2
def __init__(self, stdscr):
self.std... | null | cursesclient.py | cursesclient.py | py | 6,599 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "redditclient.RedditClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "curses.flushinp",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "curses.nocbreak",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "curses.ech... |
489614960 | import sqlite3
from sqlite3 import Error
def choice():
print("""
Put 1 to pull up the customer menu,
2 for the books menu,
3 to pull up the orders,
4 to exit code.
""")
answer = int(input(">"))
while answer <= 1 >= 3: # Unlimited loop for the menu
choice()
if answe... | null | Assignment13.py | Assignment13.py | py | 9,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 209,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 211,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 227,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"l... |
278213564 | # -*- coding: utf-8 -*-
# @Author: SmokedInk
# @Title: crawler_warning
# @Time: 2020-01-02 09:47:32
# @Desc: crawler_warning
import smtplib # 导入发送邮件包
from email.mime.text import MIMEText # 用来创建文本格式的邮件体内容
from twilio.rest import Client # 导入twilio客户端
# 邮箱信息
EMAIL_CONFIG = {
'form_add... | null | crawl/crawler_warning.py | crawler_warning.py | py | 3,535 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "smtplib.SMTP",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 87,
"usage_type": "call"
}
] |
576964717 | import pygame, sys
from Balloon import Balloon
from Button import Button
#from Kitten import Kitten
from random import random
class Engine():
def __init__(self, screen, settings, scoreboard, balloons, sword):
self.screen = screen
self.settings = settings
self.scoreboard = scoreboard
... | null | BalloonNinja_CV-master/Engine.py | Engine.py | py | 3,201 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Balloon.Balloon",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pygame.event.get",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
... |
212349610 | import pyvista as pv
from pathlib import Path
import glob
patients = [106, 109, 110]
data_dir = "/Users/mbarbour/Dropbox/Respiratory/image_data/"
p = pv.Plotter(shape=(1,3))
count = 0
for patient in patients:
patient_str = "Pt_" + str(patient)
surface_file = glob.glob(data_dir + patient_str + "/*.stl")
... | null | pyvista_plotting.py | pyvista_plotting.py | py | 460 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyvista.Plotter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyvista.read",
"line_number": 16,
"usage_type": "call"
}
] |
226459009 | import unittest
import sys
import os
import types
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
try:
from pandas import DataFrame
pandas_avail = True
except ImportError:
pandas_avail = False
try:
import requests_cache
caching_avail = True
except ImportError:
... | null | tests/test.py | test.py | py | 8,248 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
90889125 | from sqlalchemy import create_engine
import psycopg2
import config
from flask import Flask, jsonify
from flask_cors import CORS, cross_origin
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('DATABASE_URL', '')
conn_string = f"hos... | null | app.py | app.py | py | 1,028 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.dbname",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "config.user",
"line_... |
143441595 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
import django.contrib.gis.db.models.fields
import common.validators
class Migration(migrations.Migration):
dependencies = [
('cities', '__first__'),
migration... | null | src/order/migrations/0007_auto_20150811_1555.py | 0007_auto_20150811_1555.py | py | 2,891 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 14,
"usage_type": "ca... |
579581392 | from api_exceptions import ApiException, AlertException
import game_messages_pb2 as game_messages
import logging
import utils
import protobuf2json
from itertools import chain
from collections import Iterable
class ProtoBufSerializer(object):
@staticmethod
def encode_one(resp_message):
try:
... | null | protobuf_serializer.py | protobuf_serializer.py | py | 1,927 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.exception",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "api_exceptions.ApiException",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Iterable",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name":... |
409864115 | #!/usr/bin/env python
import sys
warnings = list()
try:
from setuptools import setup, Extension
except ImportError:
warnings.append("warning: using disutils.core.setup, cannot use \"develop\" option")
from disutils.core import setup, Extension
try:
from distutils.command.build_py import build_py_2to3... | null | python/DEAP_deap/deap-master/setup.py | setup.py | py | 3,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pypandoc.convert",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
... |
194528007 | import os, pygame
from pygame.locals import *
def load_image(name, sizeX = -1, sizeY = -1):
fullName = os.path.join('sprites', name)
image = pygame.image.load(fullName)
image = image.convert()
#colorkey = image.get_at((0, 0))
#image.set_colorkey(colorkey, RLEACCEL)
if sizeX != -1 or sizeY != -1:
ima... | null | game/lib.py | lib.py | py | 1,193 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_num... |
394431909 | # python 3
# this class combines all basic features of a generic player
#import pandas as pd
import numpy as np
#import matplotlib.pyplot as pl
import pulp
class Player:
def __init__(self):
# some player might not have parameters
self.parameters = 0
self.horizon = 48
self.res= np.... | null | player.py | player.py | py | 4,116 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pulp.LpProblem",
"line_number... |
212497624 | #
import csv
import pandas as pd
import numpy as np
from sklearn.preprocessing import PolynomialFeatures
from sklearn.metrics import mean_squared_error,r2_score
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
data=pd.read_csv("per_n... | null | polynomoialLr/LR.py | LR.py | py | 2,282 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 26,
"usage_type": "cal... |
205147960 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from .models import OrderBook, Order
from .forms import OrderCreateForm
from cart.cart import Cart
from users.models import User
from .tasks import order_created
@login_required
def... | null | orders/views.py | views.py | py | 1,957 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cart.cart",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "cart.cart.Cart",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "users.models.User.objects.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "users.models.U... |
336979669 | from bs4 import BeautifulSoup
import logging
import requests
from api_keys import api_keys
import helpers
from logger import log
import news_interface
import news_orgs
logging.basicConfig(filename='russia_today.log', level=logging.WARNING)
class RussiaToday(news_interface.NewsOrg):
'''Methods for interacting with... | null | analysis/scraping/russia_today.py | russia_today.py | py | 1,956 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "news_interface.NewsOrg",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "... |
572547608 | """
15_apply.py
First, 3 separate spreadsheets are read and merged using concat yielding
the following DataFrame:
High Humidity Low
Saturday Canon City 82.0 18.0 52.0
Colorado Springs 78.0 22.0 50.0
... | null | Optum Tech/student_files_1/ch05_pandas/15_apply.py | 15_apply.py | py | 2,038 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_excel",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.concat",... |
57408229 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import csv
import logging
import pandas as pd
class CsvWriterPipeline(object):
def open_spider(self, spider):
s... | null | futbin_spider/pipelines.py | pipelines.py | py | 2,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.DictWriter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"lin... |
34421426 | #!/usr/bin/env python
from __future__ import print_function
import cv2
class SaveVideo(object):
"""
Simple class to save frames to video (mp4v)
"""
def __init__(self):
self.out = None
def __del__(self):
self.release()
def start(self, filename, image_size, fps=30):
# mpg4 = cv2.VideoWrite... | null | archives/old_2017-2018_code/code/tests/Camera/vid.py | vid.py | py | 1,097 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 38,
"usage_type": "call"
}
] |
617623133 | import json
import argparse
import logging
from r360_py.util.TravelOptions import TravelOptions
from r360_py.util.enum.PolygonSerializationType import PolygonSerializationType
from r360_py.util.enum.TravelType import TravelType
from r360_py.util.enum.EdgeWeightType import EdgeWeightType
from r360_py.rest.ServiceExecuto... | null | r360_py/cli/__main__.py | __main__.py | py | 6,764 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "r360_py.util.TravelOptions.TravelOptions",
"line_number": 49,
"usage_... |
621528804 | from features.cards import validate_card_name
from features.cards import prettify_name
import urllib
import requests
import discord
import logging
logger = logging.getLogger('discord')
DESCRIPTION_TEXT = 'Click the links for more information'
TITLE_TEXT = 'Rulings from fiveringsdb.com'
def get_rulings(command):
... | null | features/rulings.py | rulings.py | py | 4,162 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "features.cards.validate_card_name",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.parse.unquote",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
66850511 | '''
A method to search for playlists that contain a set of given tracks
and artists, search(); and a basic CLI.
To use, run:
python .../search_pl.py
'''
from load_data import load_data, _reduce_string
import tabulate
import functools
import pprint
import string
def search(playlists, *args):
'''
Returns t... | null | search_pl.py | search_pl.py | py | 3,027 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "load_data._reduce_string",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "string.di... |
347306535 | #!/usr/bin/env python3
from setuptools import setup
import pathlib
NAME = "fcool"
DESCRIPTION = "A cool tool for functional programming. Funtions can be operated directly with definition domain that can be used in type testing"
LONG_DESCRIPTION = pathlib.Path("README.txt").read_text()
KEYWORDS = "Functional P... | null | pypi_install_script/fcool-0.1.3.tar/setup.py | setup.py | py | 1,236 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 26,
"usage_type": "call"
}
] |
178099669 | import cv2
import time
from maskrcnn_benchmark.config import cfg
from predictor import COCODemo
config_file = "../configs/caffe2/e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml"
# update the config options with the config file
cfg.merge_from_file(config_file)
# manual override some options
cfg.merge_from_list(["MODEL.DEVICE",... | null | demo/test.py | test.py | py | 666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "maskrcnn_benchmark.config.cfg.merge_from_file",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "maskrcnn_benchmark.config.cfg",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "maskrcnn_benchmark.config.cfg.merge_from_list",
"line_number": 12... |
479614185 | from enum import Enum
from enum import unique
from garage.tf.algos import NPO
from garage.tf.algos.npo import PGLoss
from garage.tf.optimizers import ConjugateGradientOptimizer
from garage.tf.optimizers import PenaltyLbfgsOptimizer
import time
from garage.misc import logger
import tensorflow as tf
from garage.sampler.u... | null | Toolbox/mylab/algos/trpo.py | trpo.py | py | 3,628 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "garage.tf.algos.NPO",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "garage.tf.optimizers.Conjug... |
47737053 | """
Copyright (C) 2019-2020 Vanessa Sochat.
This Source Code Form is subject to the terms of the
Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed
with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""
import random
from .namer import RobotNamer
from .utils import list_corpus,... | null | Python/Telegram_Bot/markovmeme/gil.py | gil.py | py | 8,835 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"li... |
163739041 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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 ... | null | tests/test_cli/test_publish.py | test_publish.py | py | 7,237 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "aea.cli.publish._save_agent_locally",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "tests.test_cli.tools_for_testing.ContextMock",
"line_number": 67,
"usage_type": "ca... |
653249716 | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 17 10:23:43 2020
@author: glpyz
PEGAR INFORMAÇÕES TMS
"""
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import *
import easygui
import time... | null | roteiro_automate_remessa.py | roteiro_automate_remessa.py | py | 8,965 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 28,
"usage_type": "attribute"
... |
270171322 | """This File contains Functions to process tweets."""
import datetime
from dateutil.parser import parse
from bs4 import BeautifulSoup
import re
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
def encoding_handle(message, regex, **kwargs):
"""Function to handle encoding errors."""
replace = kwargs.get('... | null | handle_process.py | handle_process.py | py | 9,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "datetime.timed... |
218230461 | import asyncio, discord, time
from discord.ext import commands
from cogs import Utils, DisplayName, Message, Nullify
def setup(bot):
bot.add_cog(Lockdown(bot, bot.get_cog("Settings")))
class Lockdown(commands.Cog):
# Init with the bot reference, and a reference to the settings var
def __init__(self, bo... | null | VoyageBot/cogs/Lockdown.py | Lockdown.py | py | 27,256 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cogs.Utils",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "cogs.Di... |
456338947 | import time
from functools import wraps
from pyspark.sql import SparkSession
def time_it(method):
"""decorator to measure time of execution"""
@wraps(method)
def _timed(*args, **kwargs):
start = time.time()
result = method(*args, **kwargs)
end = time.time()
print('method {}... | null | cdm_souffleur/utils/utils.py | utils.py | py | 598 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.a... |
296525895 | #!/usr/bin/env python2
from flask import Flask, url_for, jsonify, request, abort
from client_lib import RedisClientManager
app = Flask(__name__)
client_manager = RedisClientManager()
@app.route('/', methods=['GET'])
def root():
client = client_manager.new_client()
title, path = client.get_next_path()
n... | null | server.py | server.py | py | 1,217 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "client_lib.RedisClientManager",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",... |
519812310 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 21 19:31:29 2016
@author: Artem
"""
import csv
from random import randint
from fun3 import get_X
from fun3 import dic_to_list
from fun3 import get_targed
from fun3 import cbind
from fun3 import make_3d
from sklearn.metrics import f1_score
from sklearn.ensem... | null | all_activity.py | all_activity.py | py | 2,567 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fun3.make_3d",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fun3.get_X",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fun3.cbind",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "fun3.get_X",
"line_number": 25... |
412736747 | import hashlib
import os
import time
from typing import Dict, List, Union
from urllib.parse import urlparse
from devtools_testutils import recorded_by_proxy
from devtools_testutils import (
PemCertificate,
create_combined_bundle,
is_live,
is_live_and_not_recording,
set_function_recording_options,
)... | null | sdk/confidentialledger/azure-confidentialledger/tests/test_confidential_ledger_client.py | test_confidential_ledger_client.py | py | 21,478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "_shared.testcase.ConfidentialLedgerTestCase",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "azure.confidentialledger.ConfidentialLedgerClient",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "azure.confidentialledger.ConfidentialLedgerClie... |
355695028 | import pygame
import math
import os
import random
import objetos
from pickle import NONE #se ocupa para poder usar la variable NONE
import time
'''
este archivo junta las 3 reglas de movimiento colectivo, la simulacion ocurre paso a paso y se muestra que regla sigue cada bot
este archivo se llama FT (fin... | null | movimiento colectivo/SSPFT.py | SSPFT.py | py | 17,779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.display",
... |
109780473 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import os
import shutil
from main.dataset.dataset import Dataset, ExtensionSet
__author__ = "Ivan de Paz Centeno"
class RawCrawledDataset(Dataset):
"""
Works with a raw crawled .zip dataset.
"""
def __init__(self, root_folder, metadata_file=N... | null | main/dataset/raw_crawled_dataset.py | raw_crawled_dataset.py | py | 1,920 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "main.dataset.dataset.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "main.dataset.d... |
105787079 | import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
img_path = "img/lena.bmp"
if __name__ == '__main__':
img = Image.open(img_path).convert("L")
arr = np.array(img)
plt.subplot(2, 2, 1)
plt.imshow(img)
plt.subplot(2, 2, 3)
plt.hist(arr.flatten(), bins=256) # 将灰度矩阵转换成一维序列... | null | demo3.1.py | demo3.1.py | py | 477 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"l... |
443731978 | # Copyright 2018 Xanadu Quantum Technologies Inc.
# 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 agre... | null | tests/test_gaussian.py | test_gaussian.py | py | 12,214 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pennylane.numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pennylane.numpy",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pennylane.num... |
498039168 | import matplotlib.pyplot as plt
import numpy as np
import json
import datetime
import time
import dateutil.parser
def addPlotData(x,y,timeDiff,mementCount):
x.append(timeDiff)
y.append(mementCount)
data = json.load(open("urlsClean.json"))
plot = []
x = []
y = []
for uri in data:
mement = data[uri]["mom... | null | lectures/cs532-s19/assignments/A2/webscience_a2/carbondate_vs_momento.py | carbondate_vs_momento.py | py | 760 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parser.parse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dateutil.parser.parser",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "da... |
6669931 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 16 00:36:16 2020
@author: KevinChng
"""
""
from PIL import Image, ImageDraw
import json
#import matplotlib.pyplot as plt
#import matplotlib.image as mpimg
import os
#from glob import glob
#import cv2 as cv
# Camera 2702
os.chdir(r'C:\Users\KevinChng\D... | null | Coding (Submission)/Milestone_2_Extract_ROI_from_Image_2702.py | Milestone_2_Extract_ROI_from_Image_2702.py | py | 1,727 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.chdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 40,
"... |
457650138 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import string, requests, os
from app.bot import bot
from app.utils import helper
from app.yesno.yesno import YesNo
from app.anime.anime import Anime
from app.webs.quote.quote import Quote
from app.passwords import CLEVER_API_KEY
from app.clever.clever import Cleverbot
from... | null | app/main.py | main.py | py | 3,994 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.utils.helper.sender_name",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "app.utils.helper",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "app.bot.bot.send_message",
"line_number": 26,
"usage_type": "call"
},
{
"api_name":... |
21027647 | from os import listdir
from datetime import datetime
from os.path import isdir, isfile, join
def date_from_filename(filename):
digits =''.join([c for c in filename if c.isdigit()])
year = 1900+int(digits[:2])
day = int(digits[4:])
month = int(digits[:-2][2:])
return datetime(year=year,month=month,... | null | Loader.py | Loader.py | py | 998 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_num... |
447002451 | # -*- coding: utf-8 -*-
# Copyright 2017 Vector Creations Ltd
# Copyright 2019 New Vector Ltd
#
# 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.... | null | synapse/replication/tcp/streams/events.py | events.py | py | 4,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "attr.ib",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "attr.s",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "attr.ib",
"line_number": 84,
"usage_ty... |
227579457 | from itertools import chain
from os import environ, path
from utils import multiple_strip
__maintainer__ = "Lieber"
__email__ = "fernandomdx3@gmail.com"
HOME_PATH = environ.get("HOME")
ALIASES_PATH = path.join(HOME_PATH, ".aliases.sh")
SHELL = environ.get("SHELL").split('/')[-1]
if SHELL == "zsh":
PROFILE_PATH =... | null | alias_maker.py | alias_maker.py | py | 4,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,... |
438316254 | from selenium.webdriver.common.by import By
from behave import given, when, then
from time import sleep
BEST_SELLER_BUTTON = (By.CSS_SELECTOR, ".a-badge-text")
AMAZON_SEARCH_FIELD_LOCATOR = (By.CSS_SELECTOR, "input#twotabsearchtextbox.nav-input")
AMAZON_GO_SEARCH_BUTTON = (By.CSS_SELECTOR, "input.nav-input")
@given('... | null | hw5/features/steps/hw5_2.py | hw5_2.py | py | 1,059 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number":... |
621916501 |
from django.urls import path
from . import views
urlpatterns = [
path('',views.admin_index_view,name='admin_index'),
path('Assessment/Manage',views.assessment_manage_view,name='assess_manage'),
path('login/',views.admin_login_view,name='admin_login'),
path('Authority/Manage',views.authority_manage_view,... | null | project_admin/urls.py | urls.py | py | 1,585 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
276257689 | from PyQt5.QtWidgets import QDialog, QDialogButtonBox
from model.preferences import DISPLAY_DB_RANGE, DISPLAY_COLOUR_MAP, DISPLAY_POLAR_360
from ui.display import Ui_displayControlsDialog
class DisplayModel:
'''
Parameters to feed into how a chart should be displayed.
'''
def __init__(self, preferen... | null | src/main/python/model/display.py | display.py | py | 5,924 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "model.preferences.DISPLAY_DB_RANGE",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "model.preferences.DISPLAY_COLOUR_MAP",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "model.preferences.DISPLAY_POLAR_360",
"line_number": 21,
... |
167705367 | class Solution:
def subarraysDivByK(self, A, K):
"""
:type A: List[int]
:type K: int
:rtype: int
"""
s = [0]
for e in A:
s.append(s[-1] + e)
s = [e % K for e in s]
import collections
cnt = collections.Counter(s)
... | null | WeeklyContest/119/subarray-sums-divisible-by-k.py | subarray-sums-divisible-by-k.py | py | 376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Counter",
"line_number": 14,
"usage_type": "call"
}
] |
544881935 | # uncompyle6 version 3.7.4
# Python bytecode 3.5 (3351)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /home/arroyo/ovp/suzano-ovp/django-ovp-core/ovp_core/migrations/0003_cause_skill.py
# Compiled at: 2017-02-22 17:56:49
# Size of source mod 2**32: 1106 bytes
from... | null | pycfiles/ovp-core-1.2.7.tar/0003_cause_skill.cpython-35.py | 0003_cause_skill.cpython-35.py | py | 1,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
427759066 | from flask import Flask, render_template, redirect, url_for, jsonify
import pymongo
import scrape_mars
#Set up Flask app
app = Flask(__name__)
#Mongodb connection - go to/create database and drop collection if present
conn = 'mongodb://localhost:27017'
client = pymongo.MongoClient(conn)
#Flask app routes
@app.route(... | null | Missions_to_Mars/app.py | app.py | py | 748 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrape_mars.scra... |
121585899 | import random
import math
from collections import deque
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.models import Sequential
from tensorflow.keras.models import load_model, clone_model
from tensorflow.keras.layers import Dense, GaussianNoise, InputLayer, Drop... | null | agent.py | agent.py | py | 6,932 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.optimizers.Ada... |
33427129 | from albumentations import *
from albumentations.pytorch import ToTensor
import numpy as np
class TrainAlbumentation():
def __init__(self):
self.train_transform = Compose([
PadIfNeeded(min_height=40, min_width=40, border_mode=4, value=None, p=1.0),
RandomCrop(32,32),
HorizontalFlip(),
Cu... | null | Week 11/Transform_utils/trainalbumentation.py | trainalbumentation.py | py | 630 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "albumentations.pytorch.ToTensor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
}
] |
619267243 | import os, sys, glob
import argparse
import numpy as np
from obspy import UTCDateTime
# import MSMS functions
from dataset_gpu import read_temp, read_data
from msms_lib_gpu import msms_det, corr_ppk, write_ctlg, write_pha
import config
# filter warnings
import warnings
warnings.filterwarnings("ignore")
# torch for GPU
... | null | run_msms_gpu.py | run_msms_gpu.py | py | 2,813 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.multiprocessing.set_sharing_strategy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.multiprocessing",
"line_number": 15,
"usage_type": "name"
},
... |
531257451 | """This module contains helper functions."""
import json, random
from rules import *
def rotate(pos, rot):
rot = rot % 360
if rot == 0: return pos
if rot == 90: return [-pos[1], pos[0]]
if rot == 180: return [-pos[0], -pos[1]]
if rot == 270: return [pos[1], -pos[0]]
print("Not a valid rotation:", rot)
return p... | null | util.py | util.py | py | 5,029 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 87,
... |
452445025 | from . import views
from django.urls import path
urlpatterns=[
path('signup',views.signup,name='signup'),
path('login',views.login,name='login'),
path('mlogin',views.mlogin,name='mlogin'),
path('msignup',views.msignup,name='msignup'),
path('logout',views.lo... | null | accounts/urls.py | urls.py | py | 344 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
372275823 | import time
import paho.mqtt.client as mqtt
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
# Fetch the service account key JSON file contents
cred = credentials.Certificate('iot_mikro.json')
# Initialize the app with a service account, granting admin privileges
firebase_admi... | null | sub.py | sub.py | py | 1,730 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 10,
"usage_type": "call"
... |
217392607 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
sound.py
Easily handle .wav sound files.
Functions:
load(fname) Load a .wav file
play(sig, sr) Play a numpy array
save(fname, data) Save a numpy array as .wav file
"""
__author__ = 'Michael Blaß'
# Imports
import numpy as _np
import pyaudio ... | null | sound.py | sound.py | py | 1,633 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.io.wavfile.read",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.max",
... |
194877497 | '''
@Descript window function in frequency domaincy
@
'''
import numpy as np
from matplotlib import pyplot as plt
w = np.arange(0, 15*np.pi, 10e-3)
N = 10
W1 = (np.sin((w*N)/2)) / np.sin(N/2)
W2 = [complex(re, vir) for re,vir in zip(np.cos(w*(N-1)/2), np.sin(w*(N-1)/2))]
W = W1*W2
abs_w = abs(W)
plt.plot(w,W)
plt.show... | null | myprictice/python/DigitalSignal/RectFreq.py | RectFreq.py | py | 322 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.arange",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 11,... |
578752145 | import boto3
import requests
from boto3 import Session
from requests import Response
from fidesops.schemas.third_party.onetrust import OneTrustOAuthResponse
def get_s3_session(aws_access_key_id: str, aws_secret_access_key: str) -> Session:
"""Abstraction to retrieve s3 session using secrets"""
session = boto... | null | src/fidesops/util/storage_authenticator.py | storage_authenticator.py | py | 1,099 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.session.Session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "boto3.session",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "boto3.Session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "requests.Respon... |
584588260 | """This file is a Voestalpine spider created on top of the ATSSpider.
scrapy crawl voestalpine -a mining_job_id=9999 -a iteration=1 -a url="https://jobs.voestalpine.com/cgi-bin/appl/selfservice.pl?action=searchform"
sample urls:
https://jobs.voestalpine.com/cgi-bin/appl/selfservice.pl?action=searchform
https:/... | null | brightcorp/brightcorp/spiders/voestalpine.py | voestalpine.py | py | 4,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "brightcorp.base.atsspiders.ATSSpider",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "scrapy.http.FormRequest.from_response",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scrapy.http.FormRequest",
"line_number": 34,
"usage_type": "na... |
340679934 | from sqlalchemy import create_engine
from sqlalchemy import sql
import json
from BarBeerDrinker import config
engine = create_engine(config.database_uri)
def get_TransTable():
with engine.connect() as con:
rs = con.execute("SELECT * from TransactionTable;")
results= [dict(row) for row in rs]
... | null | server/BarBeerDrinker/database.py | database.py | py | 20,234 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "BarBeerDrinker.config.database_uri",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "BarBeerDrinker.config",
"line_number": 7,
"usage_type": "name"
},
{
... |
643220227 | import logging
"""
日志的配置主要为了实现:
1.如何控制日志既输入到文件,也显示到终端
2.如何控制写入文件时的编码
日志名：一定要细化，最好是通过日志名大概就能够看出是什么模块的问题
日志轮转：
日志太大了大都打不开，因此要定期进行分割
"""
# 第一步，创建一个logger
logger = logging.getLogger("test_logger") # 这里可以传递一个名字
logger.setLevel(logging.DEBUG) # Log等级总开关
# 第二步,创建一个handler用于写入文件,可以指定文件的写入类型
file_path = "./... | null | fun_learn/库学习/log/日志基础.py | 日志基础.py | py | 1,823 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO... |
211293718 | #!/usr/bin/env python
"""
#DroMOOC (www.onera.fr/dromooc)
#ONERA-ENSTA-CentraleSupelec-Paris Saclay
#all variables are in SI unit
"""
import rospy
from attitude_estimation.msg import RPYAngles
from geometry_msgs.msg import Quaternion
from sensor_msgs.msg import Imu, MagneticField
import tf
import numpy as np
import ma... | null | attitude_estimation/scripts/KFPitchEstimationNoDynParma.py | KFPitchEstimationNoDynParma.py | py | 5,697 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rospy.init_node",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rospy.Publisher",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "attitude_estimation.msg.RPYAngles",
"line_number": 28,
"usage_type": "argument"
},
{
"api_name": ... |
380355489 | #!/usr/bin/env python
import twitter
import random
import json
import config
import bitly_api
import re
import time
import datetime
import emailfunction
def getRandomIndex():
return random.randrange(0, len(tweetPool))
def getRandomTweet(index):
return tweetPool[index]["text"]
# Load tweets.json into var... | null | main.py | main.py | py | 2,845 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.randrange",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.tweetsLocation",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "config.security... |
414223933 | import copy
import glob
import importlib
import os
import inspect
import pickle
import re
import sys
import tempfile
import unittest
import unittest.mock
import pytest
from ConfigSpace import Configuration
import joblib
from joblib import cpu_count
import numpy as np
import numpy.ma as npma
import pandas as pd
import ... | null | test/test_automl/test_estimators.py | test_estimators.py | py | 31,137 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
212743323 | #!/usr/bin/env/python
"""
Calculating canopy openness from hemispheric photos
"""
#**What this will eventually do**
#walk through the different functions in the CanopyOpeness package and help the user:
# - 1) Upload image files from the TestPhotos folder that comes with the package
# - 2) Normalize the exposure ... | null | CanopyOpenness/CanOpen.py | CanOpen.py | py | 13,026 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "skimage.io.imread",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_nu... |
636212180 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymongo
import scrapy
from scrapy.exceptions import DropItem
from scrapy.pipelines.images import ImagesPipeline
from i... | null | rena/pipelines.py | pipelines.py | py | 2,379 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scrapy.exceptions.DropItem",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "scrapy.exceptions.DropItem",
"line_number": 48,
"usage_type": "call"
},
{
"api_nam... |
398651467 | from cx_Freeze import setup, Executable
import sys
import os
includes = []
include_files = [r"C:\Python36-32\DLLs\tcl86t.dll",
r"C:\Python36-32\DLLs\tk86t.dll"]
base = 'Win32GUI'
executables = [Executable("dialog.py", base=base)]
packages = ["idna", "numpy", "scipy", "tkinter", "tkinter.ttk", "_tki... | null | setup.py | setup.py | py | 728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cx_Freeze.setup"... |
50398023 | ###########
# IMPORTS #
###########
import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.optimize import fsolve
Ek = -12
ENa = 120
EL = 10.6
V = 1
gK = 36
gNa = 120
gL = 0.3
I = 0
#############
# FUNCTIONS #
#############
def alpha_m(V):
alpha = 0.1*(25-... | null | izhikevich_visualization/plot_linearize.py | plot_linearize.py | py | 4,552 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 36,
... |
600128919 | """
Created by alexandra at 11.09.19 18:20
Check Chern number functions on the simplest Chern insulator
"""
import numpy as np
from math import pi, sqrt
import matplotlib.pyplot as plt
def scalarprod(a, b):
# Scalar product of two stackes of wavefunctions of the same size
# Returns a stack of <A[i,j,...,:]... | null | chern_insulator.py | chern_insulator.py | py | 2,520 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sum",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.conj",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.angle",
"line_number": ... |
601389594 | import pytest
import doctest
from insights.parsers import package_provides_httpd
from insights.parsers.package_provides_httpd import PackageProvidesHttpd
from insights.tests import context_wrap
from insights.parsers import SkipException
PACKAGE_COMMAND_MATCH = """
/opt/rh/httpd24/root/usr/sbin/httpd httpd24-httpd-2.... | null | insights/tests/parsers/test_package_provides_httpd.py | test_package_provides_httpd.py | py | 1,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "insights.parsers.package_provides_httpd.PackageProvidesHttpd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "insights.tests.context_wrap",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 29,
"usage_type":... |
430204765 | #!/usr/bin/env python
import utils
# Node to test, add new nodes in that list to test them
nodes = ["Halles", "Pythagore", "SH1C", "Michotte", "Stevin", "Carnoy"]
def inside_HTTP_HTTPS_test():
addr_list = ["fd00:200:7:13::1"]
for node in nodes:
for addr in addr_list:
out, err, err_code = util... | null | firewalls/test.py | test.py | py | 1,187 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.execute_in_host",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.execute_in_host",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.execute_in_host",
"line_number": 32,
"usage_type": "call"
}
] |
369481063 | import elo
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import pymysql
import json
import trackdata
import userdata
sqlinfo = open("mysql.json", "r")
sqlcon = json.load(sqlinfo)
database = pymysql.connect(
user=sqlcon["user"],
host=sqlcon["host"],
db=sqlcon["db"],
... | null | main.py | main.py | py | 2,294 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name",
"line_number": 30,
"usage_type"... |
156278495 | '''fastVideoPlus.py'''
"""
This script is like fastVideo but it supports sounded and silent speeds. It might be a
bit RAM intensive though.
"""
# External libraries
import cv2 # pip3 install opencv-python
import numpy as np
from audiotsm import phasevocoder
# Included functions
from scripts.readAudio import ArrRead... | null | scripts/fastVideoPlus.py | fastVideoPlus.py | py | 6,971 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_num... |
21475682 | import json
import logging
import threading
import redis
import time
LOG = logging.getLogger(__name__)
def bootstrap_cache(host='127.0.0.1', password=None):
pool = redis.ConnectionPool(host=host, password=password)
return redis.StrictRedis(connection_pool=pool)
def connect_to_cache():
import os
c... | null | basil_common/caching.py | caching.py | py | 3,926 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "redis.ConnectionPool",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
57915479 | from rest_framework import serializers
from django.db import transaction
from django.db.models import F
from .models import Task
from user.models import UserProfile
class TaskSerializer(serializers.ModelSerializer):
owner = serializers.ReadOnlyField(source='owner.username')
executor = serializers.ReadOnlyFiel... | null | task/serializers.py | serializers.py | py | 2,055 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ReadOnlyField",
"line_number": 9,
"us... |
114935355 | from sklearn.metrics import roc_curve
import numpy as np
def get_acc_precison_recall(label,score):
# This function returns the accuracy precision and recall by setting the threshold of scores via the nearest point
# to the upper left corner of ROC curve.
fpr_matrix, tpr_matrix, threshold = roc_curve(label,... | null | addtionalDataset/code_netflix_camra/compute_statistics.py | compute_statistics.py | py | 734 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum... |
397035784 | from __future__ import print_function
import requests
import json
from string import Template
from frinx_rest import odl_url_base, odl_headers, odl_credentials, parse_response
odl_url_unified_oper_shallow = odl_url_base + "/operational/network-topology:network-topology/topology/unified?depth=3"
odl_url_unified_oper =... | null | microservices/netinfra_utils/workers/unified_worker.py | unified_worker.py | py | 7,658 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "frinx_rest.odl_url_base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "frinx_rest.odl_url_base",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "frinx_rest.odl_url_base",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": ... |
189635812 | HOME = "https://www.ubereats.com"
REGION = "/cl/location"
import psycopg2
try:
# conn = psycopg2.connect(dbname='prueba', user='postgres', host='127.0.0.1', password='adolfo', port="5433")
conn = psycopg2.connect(dbname='pimvault', user='adiaz', host='34.69.175.136', password='adiaz2021', port="5432")
cu... | null | Ubereats/01.-region.py | 01.-region.py | py | 1,443 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psycopg2.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now"... |
652285176 | import logging
import socket
import sys
host = ''
port = 8888
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
b = s.bind((host, port))
print(b)
class TcpClient:
@classmethod
def send(cls, msg):
# Create a TCP/IP socket
sock = socke... | null | py/udp-to-tcp-proxy.py | udp-to-tcp-proxy.py | py | 1,489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "socket.socket",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "socket.SOL_SOCK... |
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