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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
327130920 | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# See file LICENSE for terms.
# This file is a copy of what is available in a Cython demo + some additions
from __future__ import absolute_import, print_function
import os
from distutils.sysconfig import get_config_var, get_python_inc
import versioneer
... | null | setup.py | setup.py | py | 3,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "distutils.sysconfig.get_python_inc",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "distu... |
448593215 | import matplotlib.pyplot as plt
import numpy as np
import vpython
from Object import point, object
from matplotlib import animation
massE = 5.972 * 10 ** 24
massS = 1.99 * 10 ** 30
radiusE = 6371 * 1000000
radisuS = 695510 * 10000
G = 6.67 * 10 ** -11
t = 86400
earth = object(point(150*10**9, 0), massE, point(0, 30... | null | simulation.py | simulation.py | py | 1,707 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Object.object",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Object.point",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Object.object",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Object.point",
"line_num... |
526929630 | # uncompyle6 version 3.6.7
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: build/bdist.macosx-10.7-x86_64/egg/airflow/contrib/sensors/emr_base_sensor.py
# Compiled at: 2019-09-11 03:47:34
# Size of source mod 2**... | null | pycfiles/apache_ariatosca-0.2.0-py2-none-any/emr_base_sensor.cpython-36.py | emr_base_sensor.cpython-36.py | py | 1,536 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "airflow.sensors.base_sensor_operator.BaseSensorOperator",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "airflow.utils.apply_defaults",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "airflow.exceptions.AirflowException",
"line_number": 35,... |
473458867 | from init import *
from data import *
from tokens import *
from train import *
from model import *
from evaluate import *
import numpy as np
import random
import time
import datetime
import math
import importlib
def as_minutes(s):
m = math.floor(s / 60)
s -= m * 60
return '%dm %ds' % (m, s)
def time_since... | null | main.py | main.py | py | 4,920 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.floor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
575227912 | import matplotlib.pyplot as plt
from math import sqrt
import numpy as np
from scipy.interpolate import interp1d
def cubic_interp1d(x0, x, y):
x = np.asfarray(x)
y = np.asfarray(y)
size = len(x)
xdiff = np.diff(x)
ydiff = np.diff(y)
Li = np.empty(size)
Li_1 = np.empty(size - 1)
z = np... | null | LAB3.py | LAB3.py | py | 2,374 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.asfarray",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.asfarray",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_number"... |
453307011 | # coding: utf-8
import mock
from the_tale.common.utils import testcase
from the_tale.game.balance import constants as c
from the_tale.game.logic import create_test_map
from the_tale.game.prototypes import TimePrototype
from the_tale.game.roads.storage import waymarks_storage
from the_tale.game.persons import mode... | null | the_tale/game/persons/tests/test_logic.py | test_logic.py | py | 9,732 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "the_tale.common.utils.testcase.TestCase",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "the_tale.common.utils.testcase",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "the_tale.game.logic.create_test_map",
"line_number": 33,
"usa... |
554477311 | # -*- coding: utf-8 -*-
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('cellsamples', '0004'),
]
operations = [
migrations.AlterModelOptions(
name='celltype',
options={'ordering': ('species', 'cell_type'), 'verb... | null | cellsamples/migrations/0005.py | 0005.py | py | 735 | 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.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
514777387 | from pathlib import Path
import os
from datetime import datetime
class Reporter:
def __init__(self):
self.date = datetime.now().date()
self.time = datetime.now().time()
p = str(Path(__file__).parent)
i = p.index("\\tests")
self.new_dir = p[:i]+f"\\bug-reports\\log({self.date}... | null | qa-e2e-template-master/tests/features/lib/pages/reporter.py | reporter.py | py | 498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
383092408 | import requests
from config import HOST
from lib.loginLib import loginlib
#新增课程
def addcourse(name,desc,display_idx,SessionID):
dict = {
'Content-Type': 'application/x-www-form-urlencoded'
}
payload = {
'action': 'add_course',
'data': f"""{{
"name":"{name}",
"desc":"{desc... | null | lib/courseLib.py | courseLib.py | py | 2,701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.HOST",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "config.HOST",
"line_number... |
213168 | import hashlib
import json
import os
import random
import string
from cStringIO import StringIO
import pytest
from django.core.files.storage import default_storage
from le_utils.constants import format_presets
from mixer.backend.django import mixer
from contentcuration import models as cc
pytestmark = pytest.mark.dja... | null | contentcuration/contentcuration/tests/testdata.py | testdata.py | py | 8,560 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.mark",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "mixer.backend.django.mixer.blend",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mixer.backend.django.mixer",
"line_number": 21,
"usage_type": "name"
},
{
"api_... |
227286301 | from collections import Counter
doubles = 0
triples = 0
with open('data/day-2-input') as file:
for line in file.readlines():
c = Counter(line)
for element in c.elements():
if c[element] == 2:
doubles += 1
break
for element in c.elements():
... | null | 2018/src/day-2.py | day-2.py | py | 1,161 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
}
] |
285559514 | #!/usr/bin/python3
import json
from random import choice
#would uses choices(words,k=25) in 3.6
def getWords(n=25):
with open('words/nouns.json', mode='r') as f:
# At first, read the JSON file and store its content in an Python variable
# By using json.load() function
json_data = json.load... | null | vocab.py | vocab.py | py | 558 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 16,
"usage_type": "call"
}
] |
320748422 | import pyglet
from GameObject import GameObject
from pyglet.window import key
class GameWindow(pyglet.window.Window):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.set_location(400, 100)
self.frame_rate = 1/60
self.player = GameObject(500, 200, "PlayerS... | null | Valerio/Python/space_invaders/space_invaders/GameWindow.py | GameWindow.py | py | 943 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyglet.window",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "GameObject.GameObject",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyglet.window.key.RIGHT",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
62122655 | from django.dispatch import receiver
from django.db.models import Q
from django.db.models.signals import post_save, m2m_changed
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User
import sys
import logging
from danceschool.core.models import EventStaffMember, E... | null | danceschool/financial/handlers.py | handlers.py | py | 7,033 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "models.ExpenseItem.objects.filter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mod... |
526145195 | """Calculate gradients for scalars, vectors, products of vectors
Assumes dimensions lat and lon in degrees, pfull in hPa"""
import numpy as np
import xarray as xr
from finite_difference import cfd_old as cfd
def ddx(field, a = 6376.0e3):
"""Calculate d/dx of a given DataArray. DataArray must include lat and lo... | null | python_bin_updates/physics_updates/old/gradients.py | gradients.py | py | 3,569 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.cos",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "finite_difference.cfd_old",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"lin... |
422074353 | import json
from collections import namedtuple
import unittest
from solariat_bottle.tests.social.twitter_helpers import FakeTwitterAPI
from solariat.tests.base import LoggerInterceptor
from solariat_bottle.app import get_api_url
from solariat_bottle.db.account import Account, AccountType
from solariat_bottle.db.channe... | null | tests/api/test_api_user_relations.py | test_api_user_relations.py | py | 11,140 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "solariat_bottle.tests.social.twitter_helpers.FakeTwitterAPI",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "solariat_bottle.tests.base.RestCase",
"line_number": 69,
... |
307491955 | from sklearn.datasets import fetch_20newsgroups # load data from sklearn dataset
import preprocess as pre
import nltk
import pandas as pd
import seaborn as sn
import matplotlib.pyplot as plt
import time
from heapq import nlargest
from random import randrange
nltk.download("stopwords")
nltk.download('punkt')
nltk.downl... | null | HW2/hw2.py | hw2.py | py | 7,561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.download",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numbe... |
212954233 | """
Convert .png image to .txt to avoid
using PIL, which causes problems when
compling to .app.
from PIL import Image
def maketxt(path):
image = Image.open(path)
data = image.tobytes()
f = open(path[0:-4]+".txt","wb")
f.write(data)
f.close
"""
import pygame as pg
"""colors"""
BLACK = (0 , 0 , 30 )... | null | segway_jump_libraries/settings.py | settings.py | py | 810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.image.fromstring",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 47,
"usage_type": "attribute"
}
] |
597126892 | #!/usr/bin/env python
# coding: utf-8
# In[25]:
import streamlit as st
import pandas as pd
import numpy as np
import pickle
import sklearn
import nltk
nltk.download('stopwords')
import streamlit as st
import pandas as pd
import numpy as np
import time
import re
import pickle
from nltk.corpus import stopwords
from ... | null | test_App.py | test_App.py | py | 4,062 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.download",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pickl... |
502093970 | from lib.base import PowerDNSClient
from powerdns import RRSet
class RecordsCreate(PowerDNSClient):
"""
Create resource record sets.
"""
def run(
self,
server_id,
zone_name,
record_name,
record_type,
record_ttl,
change_type,
records=[],
... | null | actions/records_create.py | records_create.py | py | 721 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.base.PowerDNSClient",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "powerdns.RRSet",
"line_number": 23,
"usage_type": "call"
}
] |
259487827 | # 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | null | scripts/diff.py | diff.py | py | 1,880 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_numb... |
115135044 | # Copyright 2019 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 | pytest/frontend/test_engine.py | test_engine.py | py | 12,154 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "strawberryfields.Engine",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "strawberry... |
530606366 | from django.contrib.auth.models import User
from django.db import models
import random
import string
from django.core.mail import send_mail
from lu_pet.settings import EMAIL_HOST_USER
class SessionManager(models.Manager):
@staticmethod
def authentificate(username, password):
if User.objects.filter(use... | null | lu_pet/models.py | models.py | py | 3,858 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Manager",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 12,
"usage_type": "call"
}... |
375433017 | from pyexcel_xls import save_data
from collections import OrderedDict
import json
def TxtSaveXls(path1, path2):
order = OrderedDict()
sheet = []
with open(path1, 'r',encoding='utf-8')as f:
all_data = json.loads(f.read())
for key, value in all_data.items():
sheet.appe... | null | 每天练习/0015.py | 0015.py | py | 480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyexcel_xls.save_data",
"line_number": 14,
"usage_type": "call"
}
] |
141899793 | #Stokes, Jeff
#CS5730 - Artificial Neural Networks
#Final - Train/Test
import numpy as np
import matplotlib.pyplot as plt
#Activation function (sigmoid):
def nonlin(x, deriv=False):
if(deriv==True):
return(x*(1-x))
return(1/(1+np.exp(-x)))
#Retrieve datasets from file
data_train = np.loadtxt('breast_cancer_train... | null | Test-Train/Final_FFNN_train-test.py | Final_FFNN_train-test.py | py | 1,881 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.exp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
475790905 | import cv2
'''
cap = cv2.VideoCapture(0)
cap.set(3, 720)
cap.set(4, 1080)
while True:
ret, frame = cap.read()
cv2.imshow('test', frame)
k = cv2.waitKey(1)
if k == 27:
break
cap.release()
cv2.destroyAllWindows()
'''
cap = cv2.VideoCapture(0)
#cap = cv2.VideoCapture("resources/test_video... | null | opencv/opencv.py | opencv.py | py | 1,120 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.createBackgroundSubtractorMOG2",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.imsh... |
241018512 | # BSD 2-Clause License
#
# Copyright (c) 2021, Hewlett Packard Enterprise
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright noti... | null | smartsim/entity/dbnode.py | dbnode.py | py | 5,102 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.get_logger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "entity.SmartSimEntity",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
246237254 | import argparse
from typing import NewType, Tuple, Iterable
import urllib3
from bs4 import BeautifulSoup
"""
This module contains code to bring back info about rocket launches.
You can have this display on your Macbook Pro Touchbar using BetterTouchTool > TouchBar > Add Widget > Run Applescript > code like this:
... | null | launches.py | launches.py | py | 3,247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.NewType",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "typing.NewType",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "typing.NewType... |
402223152 | import sys, time
from twisted.internet import defer
from twisted.trial.unittest import TestCase
from subprocess import Popen, PIPE
from scrapy.spider import BaseSpider
from scrapy.http import Request
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.utils.test import get_crawler
class Follow... | null | scrapy/tests/test_crawl.py | test_crawl.py | py | 1,824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scrapy.contrib.linkextractors.sgml.SgmlLinkExtractor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
... |
76854118 | # -*- encoding: utf-8 -*-
"""
@Author : zYx.Tom
@Contact : 526614962@qq.com
@site : https://zhuyuanxiang.github.io
---------------------------
@Software : PyCharm
@Project : introduction_to_ml_with_python
@File : C020303_linear_model.py
@Version : v0.1
@Time : 2019-1... | null | C02/C020303_linear_model.py | C020303_linear_model.py | py | 23,307 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "mglearn.plots.plot_linear_regression_wave",
"line_number": 38,
"usage_type": "call"
},
{
"a... |
402013590 | import keras
from keras import models
from keras.models import load_model
import random
from preprocessing import get_kmer_from_santi,DataGenerator_from_realdata,get_kmer_from_realdata
from voting import get_final_result
from generate_report import save_report
#path for testing file
filepath_train="./data/HIV-1-Datase... | null | evaluation_on_simulated_HIV.py | evaluation_on_simulated_HIV.py | py | 1,597 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "preprocessing.get_kmer_from_santi",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "preprocessing.DataGenerator_from_realdata",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 21,
"usage_type": "c... |
187564756 | import pybullet as p
import pybullet_data
import time
class CubliEnv:
def __init__(self, urdf_path="/home/xin/codes/bullet3/pybullet/new_examples/model/cubli.urdf",
ini_pos=[0, 0, 0.5],
ini_quat=[0, 0, 0, 1]):
# set env
physicsClient = p.connect(p.GUI) # or p.DIR... | null | pybullet/new_examples/cubli.py | cubli.py | py | 4,357 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pybullet.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pybullet.GUI",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pybullet.setAdditionalSearchPath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "p... |
233018090 | """Process a dataset with authors only.
Format raw datapoints into feature vectors to be used with the WarOfWords
instances. You can optionally filter out dossiers and MEPs with less than a
given number of edits. You can also optionally shuffle the data and split them
into training and validation set. In this case, th... | null | data/meps_only.py | meps_only.py | py | 3,290 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "_common.load_dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "_common.filter_data... |
189241135 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /usr/local/lib/python2.7/site-packages/canteen_tests/test_rpc/test_msgpack.py
# Compiled at: 2014-09-26 04:50:19
"""
msgpack protocol tests
~~~~~~~~~~~~~~~~... | null | pycfiles/canteen-0.4-alpha.macosx-10.10-x86_64.tar/test_msgpack.py | test_msgpack.py | py | 4,391 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "canteen.core.Library",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "canteen.core.Library",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "canteen.model.Model",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "canteen... |
495811725 | # Multiple Linear Regression
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('50_Startups.csv')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, 4].values
# Encoding categorical data
from sklearn.preprocessing import La... | null | Part 2 - Regression/Section 5 - Multiple Linear Regression/multiple_linear_regression.py | multiple_linear_regression.py | py | 4,099 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.OneHotEncoder",
"line_number": 17,
"usage_type": "call"
},
{
... |
67180135 | """histoclin URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/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-... | null | histoclin/urls.py | urls.py | py | 2,090 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 39,
"usage_type": "name"
},
{
"api_name... |
608568014 | # Copyright 2017 BBVA
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwar... | null | setup.py | setup.py | py | 1,563 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
446049503 | from collections import OrderedDict
from string import ascii_uppercase
from django import template
register = template.Library()
@register.simple_tag(takes_context=True)
def ascii_letters(context):
"""
Inserts the ASCII uppercase letters into the context under the name 'letters;.
"""
context["letter... | null | seeds/plants/templatetags/grouper.py | grouper.py | py | 2,662 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "collecti... |
226977412 | import rfc3987
URL_REGEX=rfc3987.get_compiled_pattern('%(URI)s')
def extract_urls(text):
'''Extract urls from given text
:text: (str) Text to extract urls from
:returns: List of urls extracted
'''
return URL_REGEX.findall(text)
def extract_sites(text):
'''Extract sites from urls in given ... | null | htetl/extract/sites.py | sites.py | py | 570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rfc3987.get_compiled_pattern",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "rfc3987.parse",
"line_number": 24,
"usage_type": "call"
}
] |
534371108 | # import time
# import pickle
import sympy as sym
from api.approximation_tools import ControlSystem
# from calc_indeces import calculate_indeces
sym.init_printing()
x1, x2, x3, x4, x5, x6, x7, x8, c6, c7, c8, t = sym.symbols(
'x_{1} x_{2} x_{3} x_{4} x_{5} x_{6} x_{7} x_{8} c_{6} c_{7} c_{8} t')
# Пример 1
# a =... | null | api/main.py | main.py | py | 2,031 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.init_printing",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sympy.Matrix",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sympy.Matrix",
"line... |
528760506 | from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import os
import requests
import json
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(basedir, 'icea... | null | iceandfire_crud.py | iceandfire_crud.py | py | 3,923 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_num... |
108938303 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import gym
import rl_agent as rl
import tensorflow as tf
class Program():
def __init__(self):
self.env = None
self.logger = None
self.plotter = None
def on_step_end(self, agent, reward, obser... | null | marcin/rl_agent/examples/mountain_car.py | mountain_car.py | py | 6,298 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rl_agent.util.parse_common_args",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "rl_agent.util",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "rl_agent.util.try_freeze_random_seeds",
"line_number": 52,
"usage_type": "call"
},
... |
323887742 |
# coding: utf-8
from modAL.models import ActiveLearner
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import h5py
import pickle
from sklearn.ensemble import RandomForestClassifier
import random
import os.path
from datetime import datetime
features = h5py.File('/scratch/yw3004/sonyc/sonyc_dis... | null | data_preparation/sample_unlabeled_pool_random.py | sample_unlabeled_pool_random.py | py | 2,592 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "h5py.File",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
429525818 | #!/usr/bin/env python
import os
import sagemaker
import sagemaker.tensorflow
import sys
import time
govuk_environment = os.environ["GOVUK_ENVIRONMENT"]
role = os.environ["ROLE_ARN"]
model_name = os.getenv("SCRIPT_INPUT_DATA")
model_tag = os.getenv("MODEL_TAG")
if not model_name and not model_tag:
raise Exception(... | null | ltr/concourse/deploy.py | deploy.py | py | 3,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number... |
651792187 | import torch
from torch import nn
from ..base import Base, ConvBatchNormRelu
class AppearanceCueFiltration(Base):
def __init__(self):
super().__init__()
self.high_conv3x3 = ConvBatchNormRelu(
256, 256, kernel_size=3, padding=1)
self.path_1 = nn.Sequential(
nn.Conv2... | null | model/hierarchical_attention/appearance_cue_filtration.py | appearance_cue_filtration.py | py | 1,369 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.Base",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "base.ConvBatchNormRelu",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"l... |
220023085 | import numpy as np
class UnitTestMessage:
# Test the WheelEncoderStamped messages
def __init__(self, callback):
from duckietown_msgs.msg import WheelEncoderStamped
from std_msgs.msg import Header
# creating a dummy wheel encoder message to allow testing how to read fields
hea... | null | oakd/solution/unit_test.py | unit_test.py | py | 13,094 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "std_msgs.msg.Header",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "duckietown_msgs.msg.WheelEncoderStamped",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "duckietown_msgs.msg.WheelEncoderStamped.ENCODER_TYPE_INCREMENTAL",
"line_number":... |
232979151 | #-*-coding: utf-8-*-
# Version: 0.1
# Author: Don Li <don.li@mai.tipcat.com>
# License: Copyright(c) 2015 Don.Li
# Summary:
import asyncio
import time
import redis
from config_parser import config
from log import log
from rpc import listen, load_all_routes, connect
from protocol_ma... | null | src/game/server.py | server.py | py | 2,632 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rpc.listen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "config_parser.config.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "config_parser.config",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "config_parse... |
124984428 | # -*- coding: utf-8 -*-
# Copyright (C) 2006-2007 Vodafone España, S.A.
# Author: Pablo Martí
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your o... | null | attic/VodafoneMobileConnectCard/build/opt/vmc/lib/python2.5/site-packages/Vodafone_Mobile_Connect_Card_driver_for_Linux-1.99.19-py2.5.egg/vmc/gtk/models/application.py | application.py | py | 9,914 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vmc.gtk.models.base.BaseWrapperModel",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "twisted.internet.defer.fail",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "twisted.internet.defer",
"line_number": 76,
"usage_type": "name"
},
... |
10372169 | #/usr/bin/env python
from setuptools import setup
from xero import VERSION
try:
readme = open("README.rst")
long_description = str(readme.read())
finally:
readme.close()
setup(
name='pyxero',
version=VERSION,
description='Python API for accessing the REST API of the Xero accounting tool.',
... | null | setup.py | setup.py | py | 1,155 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xero.VERSION",
"line_number": 13,
"usage_type": "name"
}
] |
295591349 | # uncompyle6 version 3.7.4
# Python bytecode 2.5 (62131)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-i686/egg/xanalogica/tumbler/tests.py
# Compiled at: 2008-08-31 04:10:13
import os, re, unittest, pkg_resources
from zope.testing import doctest... | null | pycfiles/xanalogica.tumbler-0.2dev-py2.5/tests.py | tests.py | py | 702 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pkg_resources.resource_string",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "zope.testing.doctest.DocTestSuite",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "zope.testing.doctest",
"line_number": 13,
"usage_type": "name"
},
{
... |
624601325 | """
polls
"""
from multiprocessing import Process
import subprocess
class PoolScrub(Process):
def __init__(self, mnt_pt, force=False):
self.mnt_pt = mnt_pt
self.force = force
super(PoolScrub, self).__init__()
def run(self):
cmd = ['btrfs', 'scrub', 'start', '-B', self.mnt_pt]
if (self.force):
cmd.ins... | null | services/storage/fs/pool_scrub.py | pool_scrub.py | py | 436 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "multiprocessing.Process",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "subprocess.Popen",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "subproce... |
314692178 | import fnmatch
from conans.errors import ConanException
class BuildMode(object):
""" build_mode => ["*"] if user wrote "--build"
=> ["hello*", "bye*"] if user wrote "--build hello --build bye"
=> ["hello/0.1@foo/bar"] if user wrote "--build hello/0.1@foo/bar"
... | null | conans/client/graph/build_mode.py | build_mode.py | py | 2,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "conans.errors.ConanException",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmatchcase",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmatchcase",
"line_number": 63,
"usage_type": "call"
}
] |
564573277 | from hpro_automation.identity import credentials
import pymysql
class DBConnection(object):
def __init__(self):
super(DBConnection, self).__init__()
self.user = str(input("DB name:: "))
def db_connection(self):
self.DB_data = credentials.db_details[self.user]
self.connection... | null | hpro_automation/db_login.py | db_login.py | py | 402 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hpro_automation.identity.credentials.db_details",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "hpro_automation.identity.credentials",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pymysql.connect",
"line_number": 14,
"usage_typ... |
313376682 | from SPARQLWrapper import SPARQLWrapper, JSON # , TURTLE, RDF
from typing import Dict
from mediawikitools.wiki.actions import edit
useragent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) ' \
'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 ' \
'Safari/537.36'
def sparql(sparql... | null | wikidata_countries.py | wikidata_countries.py | py | 1,195 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "SPARQLWrapper.SPARQLWrapper",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "SPARQLWrapper.JSON",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mediaw... |
270474697 | """
App routing and view logic
"""
# library
import rollbar
from flask import flash, redirect, render_template, request, url_for
from flask_login import logout_user
from flask_user import login_required, current_user
from mailchimp3.mailchimpclient import MailChimpError
from stripe.error import SignatureVerificationEr... | null | avwx_account/views.py | views.py | py | 5,042 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_user.current_user",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "avwx_account.app.route",
"line_number": 17,
"usage_type": "call"
},
{
"api_name... |
345869855 | # -*- coding: utf-8 -*-
import scrapy
import json
import re
import time
from bk.items import BkItem
class BeikwSpider(scrapy.Spider):
name = 'beikw'
allowed_domains = ['fang.ke.com']
start_urls = ['https://gz.fang.ke.com/',
'https://gz.fang.lianjia.com/']
def isVaildDate(self, dat... | null | bk/bk/spiders/beikw.py | beikw.py | py | 3,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "time.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"... |
199561947 | from os.path import join
from options.eld.base_options import BaseOptions
from engine import Engine
import torch
import torch.backends.cudnn as cudnn
import data.sid_dataset as datasets
import util.util as util
import data
import glob
import os
import socket
opt = BaseOptions().parse()
cudnn.benchmark = True
if opt... | null | test_SID.py | test_SID.py | py | 2,659 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "options.eld.base_options.BaseOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 15,
"usage_type": "name"
... |
328816663 | from django.conf.urls import url, include
from django.contrib import admin
from user.views import index
urlpatterns = [
url(r'^admin/', admin.site.urls),
url(r'^user/', include('user.urls', namespace="user", app_name='user')),
url(r'^todolist/', include('todolist.urls', namespace="todolist", app_name="todo... | null | project/urls.py | urls.py | py | 503 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": ... |
30049659 | from io import BytesIO
from json import dumps, loads
import os
from pathlib import Path
import tempfile
from typing import Generator
import shutil
import sqlite3
from flask.testing import FlaskClient
from werkzeug.test import Client
import pytest
import threedyspool
@pytest.fixture
def client() -> ... | null | threedyspool-server/tests/test_upload.py | test_upload.py | py | 4,098 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threedyspool.app",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threedyspool.app",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "threedys... |
593847906 | #!/usr/bin/env python
# encoding: utf-8
"""
@author:nikan
@file: wzskjj6.py
@time: 2018-06-10 21:09:37
"""
from typing import List
from scrapy import Request
from scrapy.crawler import CrawlerProcess
from scrapy.http import TextResponse
from scrapy.link import Link
from scrapy.mail import MailSender
from scrapy.spi... | null | effective_spiders/gov_spiders/2018-06-10_wzskjj6.py | 2018-06-10_wzskjj6.py | py | 4,497 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.spiders.Spider",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PyScraper.extractor.html_link.HtmlLinkExtractor",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PyScraper.extractor.error_correction.ErrorCorrectionExtractor",
"line_n... |
205156298 | from gensim.models import Word2Vec
import numpy as np
import time
raw_path1 = "./structured_data/thulac/CN/com_cn_main_"
raw_path2 = "./structured_data/thulac/CN/com_cn_main_uw_"
raw_path3 = "./structured_data/thulac/CN+EN/com_cn_main_"
raw_path4 = "./structured_data/thulac/CN+EN/com_cn_main_uw_"
raw_path = [raw_path1... | null | main_word2vec.py | main_word2vec.py | py | 3,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numb... |
472408279 | import pandas as pd
from sklearn.externals import joblib
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.decomposition import PCA, TruncatedSVD
... | null | An I Sem I/ml/Homework2/src/training/classifier.py | classifier.py | py | 2,993 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.training.base_trainer.BaseTrainer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "dataset.Dataset",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "base.feature_computer.FeatureComputer",
"line_number": 30,
"usage_type": "call"
... |
421266796 | import os
import time
from redis import StrictRedis
redis = StrictRedis(host=os.getenv('DEFAULT_REDIS_CACHE', 'localhost'), port=6379)
pubsub = redis.pubsub()
pubsub.psubscribe('__keyspace@0__:email_event')
print('Starting message loop', flush=True)
while True:
message = pubsub.get_message()
if message:
... | null | scripts.py | scripts.py | py | 433 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "redis.StrictRedis",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "redis.pubsub",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number":... |
134765041 | #!/usr/bin/env python
#
# Copyright 2016 Google Inc. 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 require... | null | src/tests/simian/mac/admin/panic_test.py | panic_test.py | py | 4,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings.configure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "tests.simian.mac.common.test.RequestHandlerTest",
"line_number": 31,
"usage_type": "a... |
632521003 | from utils import TreeNode
from typing import List, Optional
class Solution:
def averageOfLevels(self, root: Optional[TreeNode]) -> List[float]:
if root is None:
return []
res = {}
q = [(root, 0)]
while len(q) > 0:
node, depth = q[0]
if depth not ... | null | source code/637. Average of Levels in Binary Tree.py | 637. Average of Levels in Binary Tree.py | py | 953 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils.TreeNode",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils.TreeNode.build_by_str",... |
113499973 | #!/usr/bin/env python3
from bottle import route, run,request
@route('/')
def index():
name = request.query.name
age = request.query.age
if name and age:
return f'{name} tiene {age} '
else:
return "Julian"
if __name__ == "__main__":
run(host='35.237.215.97', port=80, debug=True,re... | null | server.py | server.py | py | 333 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bottle.request.query",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bottle.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "bottle.request.query",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bottl... |
350010703 | import numpy as np
import pandas as pd
from itertools import groupby
def create_sharpe_ratio(returns, periods=252):
"""
Create the Sharpe ratio for the strategy, based on a
benchmark of zero (i.e. no risk-free rate information).
Parameters:
returns - A pandas Series representing period percentage ... | null | performance.py | performance.py | py | 1,487 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 30,
... |
327433950 | import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Gio, GObject, GdkPixbuf, Gdk
user_data = [("Akshay", 88, "Actor"),("Luffy", 18, "Pirate"), ("Zoro", 21, "Swordsman")]
class Item(GObject.GObject):
text = str
age = GObject.property(type = int)
profession = GObject.property(type = st... | null | py-Gtk/drag-flowbox.py | drag-flowbox.py | py | 2,121 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.require_version",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gi.repository.GObject.GObject",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.GObject",
"line_number": 7,
"usage_type": "name"
},
{
"api_name... |
28713681 | """
An amazing feature of this recipe is that the accessor functions will propagate through multiple levels of decoration (if all of your decorators utilize @functools.wraps).
```python
@timethis
@logged(logging.DEBUG)
def countdown(n):
while n > 0:
n -= 1
```
They will also work if set in inverse ord... | null | runtime/runtime_9_5.py | runtime_9_5.py | py | 972 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "decorators.decorator_9_5.logged",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "decorators.decorator_9_5",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_n... |
157625129 | import json
import random
from Model.util import log_message
from Model.EdgeModel.JSON.base import (
BaseJSONHandler,
BaseJSONClass,
BaseAttribute,
Caretaker,
OTHER,
DT_SEC,
DT_SIMPLE_STRING,
DT_WEBKIT,
DT_WEBKIT_SEC,
DT_SEC_DOT_MICRO
)
ACCTRKUPDATE = "Account Tracker Update"
N... | null | src/Model/EdgeModel/JSON/preferences.py | preferences.py | py | 16,315 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Model.EdgeModel.JSON.base.BaseJSONClass",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "Model.EdgeModel.JSON.base.BaseAttribute",
"line_number": 100,
"usage_type": "call"... |
315671090 | from django import forms
from phonenumber_field.widgets import PhoneNumberInternationalFallbackWidget
from hwtgenapp.models import ContactInfo
class ContactInfoForm(forms.ModelForm):
class Meta:
model = ContactInfo
fields = ['firstname', 'lastname', 'email', 'phonenumber', 'message']
... | null | hwtgenapp/forms.py | forms.py | py | 689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "hwtgenapp.models.ContactInfo",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "ph... |
493233073 | from pytest import fixture, mark
from scanapi.tree import EndpointNode, RequestNode
@mark.describe("request node")
@mark.describe("run")
class TestRun:
@fixture
def mock_session(self, mocker):
return mocker.patch("scanapi.tree.request_node.session_with_retry")
@fixture
def mock_run_tests(sel... | null | tests/unit/tree/request_node/test_run.py | test_run.py | py | 2,287 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "scanapi.tree.RequestNode"... |
498457747 | ''' Grid Crossing Generator
Adrian Low
Samuel Lemly
2019 Undergraduate research for Martin Cenek
Last updated: 11 MAR 2019
'''
from math import atan2, degrees
import os
import tkinter as tk
import matplotlib.pyplot as plt
import numpy as np
from scipy import interpolate
from scipy.interpolate import sp... | null | gridCrossings/gridcrossinggenerator.py | gridcrossinggenerator.py | py | 4,696 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.degrees",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.interp1d",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate"... |
443442299 | #coding: UTF-8
from django.contrib.sites.shortcuts import get_current_site
from django.core.mail import EmailMessage
from django.http import Http404, HttpResponse
from django.shortcuts import render
from django.template.loader import render_to_string
from django.utils.html import strip_tags
from django.views.generic.ed... | null | stroyprogress/contacts/views.py | views.py | py | 2,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.edit.FormMixin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.views.generic.list.ListView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.http.Http404",
"line_number": 24,
"usage_type": "call"
},... |
252514750 | #!/usr/bin/env python3
import re
import math
import argparse
import importlib
class CalcError(Exception):
"""Calculation exception class"""
pass
binary_operations = {
"+": 0,
"-": 0,
"*": 1,
"/": 1,
"//": 1,
"%": 1,
"^": 2,
}
unary_operation = ['~']
constants = {
"pi",
... | null | final_task/pycalc/calc.py | calc.py | py | 12,299 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 82,
"u... |
17098372 | import torch
import torch.nn as nn
import librosa
import numpy as np
class ConvNorm(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, padding):
super(ConvNorm, self).__init__()
self.conv_norm = nn.Sequential(
nn.Conv1d(in_channels, out_channels, kernel_size=kernel_s... | null | audio_model.py | audio_model.py | py | 4,921 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
261680856 | from datetime import datetime
import codecs
import re
import json
class LearningManager(object):
def __init__(self, json_data_path, csv_data_path):
self._json_data_path = json_data_path
self._json_data = json.loads(codecs.open(self._json_data_path, 'r', encoding='utf-8').read())
self._start... | null | src/learning_manager.py | learning_manager.py | py | 2,322 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"l... |
640611578 | '''
Actividad Guiada 2.
CSV Reading with Python
'''
import csv
import pymongo
csvFileName = 'cars.csv'
dbStringConnection = "mongodb+srv://user01:user01@cluster0-ss0ab.mongodb.net/test?retryWrites=true"
dbName = 'cars_db'
dbCollection =... | null | ActividadVIU/main.py | main.py | py | 1,737 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.DictReader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient... |
43286809 | #!/usr/bin/env python3
import os
import sys
import random
import wave
import contextlib
from datetime import datetime, timedelta
import time
#Button/Song A is L and Button/Song B is R
def main():
try:
print("----------------------------------------------------")
print("***************************... | null | singsparrow/playFP.py | playFP.py | py | 7,789 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "contextlib.closing",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"li... |
79812793 | # -*- coding: utf-8 -*-
"""Public Module: Stock
***Gustavo Figueiredo
***Programa de Engenharia e Sistemas da Computação
***COPPE-UFRJ
***August - 2018
"""
import json
from urllib import request
class Stock(object):
""" Class used to get stock price from alpha vantage."""
def __init__(self, ticket):
... | null | edge_mining/sensor/stock.py | stock.py | py | 924 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
}
] |
605515613 | from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import Http404
from django.shortcuts import render
from . import models
from taggit.models import Tag
def blog_detail(request):
if request.user.is_authenticated():
... | null | blog/views.py | views.py | py | 2,433 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.PageNotAnInteger",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.EmptyPage",
"line_number": 26,
"usage_type":... |
190568509 | import numpy as np
from Bio.Seq import Seq
#------------------------------
penalty = {'MATCH': 1, 'MISMATCH': -1, 'GAP': -2}
arrows = np.array([[0, 0, 0, 0]])
def match_score(alpha, beta):
if alpha == beta:
return penalty['MATCH']
else:
return penalty['MISMATCH']
def finalize(align1, align2,... | null | algorithms/kband/kband.py | kband.py | py | 7,346 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.dtype",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "numpy.str",
"line_number": 109,
"usage_type": "attribute"
},
{
"api_name": "numpy.str",
"line_number"... |
486138499 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 12 10:21:23 2018
@author: Vedran Furtula
"""
import sys, serial, argparse, time, re, random
import numpy as np
import matplotlib.pyplot as plt
class Oriel_stepper:
def __init__(self,my_serial,testmode):
# activate the serial. CHECK the serial ... | null | Spectrometer_v200420/instruments/Oriel_stepper.py | Oriel_stepper.py | py | 9,908 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.Serial",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "time.s... |
264958231 | # -*- coding: UTF-8 -*-
"""
py_tools
========
Script : py_tools.py
Author : Dan_Patterson@carleton.ca
Modified: 2018-05-25
-------
Purpose : tools for working with python, numpy and other python packages
- iterables :
_flatten, flatten_shape, pack, unpack
- folders :
get_dir, folders... | null | arraytools/py_tools.py | py_tools.py | py | 11,459 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.int32",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.ma.masked_print_option.set_display",
"line_number": 37,
"usage_type": "call"
},
{
"... |
158685346 | import tesserocr
from PIL import Image
image = Image.open('var_code.png')
image = image.convert('L')
threshold = 100
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)
image = image.point(table, '1')
result = tesserocr.image_to_text(image)
print(result)
... | null | reptilian/day05/try.py | try.py | py | 452 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tesserocr.image_to_text",
"line_number": 17,
"usage_type": "call"
}
] |
39002879 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('picmodels', '0063_auto_20180410_1601'),
]
operations = [
migrations.AlterField(
model_name='education',
... | null | picmodels/migrations/0064_auto_20180411_2123.py | 0064_auto_20180411_2123.py | py | 681 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
158355295 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
import audioop
from ctypes import *
import RPi.GPIO as GPIO
import ktkws # KWS
import MicrophoneStream as MS
import time
import grpc
import gigagenieRPC_pb2
import gigagenieRPC_pb2_grpc
import user_auth as UA
import os
KWSID = ['기가지... | null | python3/temp.py | temp.py | py | 6,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setwarnings",
... |
619912782 | from django.shortcuts import render, redirect, reverse, get_object_or_404
from students.models import Student
from courses.models import Course
from students.forms import StudentModelForm
from django.contrib import messages
from django.views.generic.list import ListView
from django.views.generic.detail import DetailVie... | null | students/views.py | views.py | py | 2,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.detail.DetailView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "students.models.Student",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.views.generic.list.ListView",
"line_number": 15,
"usage_type": "nam... |
529736070 | #!/usr/bin/env pyturbubox
import ulz
import sys
import couchdg
import cubicle
import argparse
import numpy as np
from pathlib import Path
import matplotlib
matplotlib.use('Agg')
plt.rcParams.update({'font.family': 'Monospace', 'font.size': 10})
import matplotlib.pyplot as plt
pp = argparse.ArgumentParser()
pp.add_... | null | sandbox/plot/KHI/plot.py | plot.py | py | 3,628 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
... |
633277253 |
# coding: utf-8
# In[57]:
#Importing libraries
import pandas as pd #Data manipulation
from sklearn.datasets import load_iris #Iris dataset
import matplotlib.pyplot as plt #Plotting
from scipy import stats #Statistical measures
import numpy as np #Multidimensional array
from sklearn.model_selection import train_test_... | null | SVM_Iris_Data.py | SVM_Iris_Data.py | py | 6,735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "m... |
48815559 | # -*-coding:utf-8-*-
import warnings
import time
from threading import Thread
import jieba
from gensim.models.doc2vec import Doc2Vec
from gensim.models.doc2vec import TaggedDocument
jieba.load_userdict(r"D:\PythonWorkstation\job_project\information_extraction\lib\dict.txt")
warnings.filterwarnings(action='ignore', ca... | null | information_extraction/submergence_model.py | submergence_model.py | py | 4,080 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jieba.load_userdict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jieba.cut",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "gensim.models.d... |
317628993 | from django.db import models
from django.db.models import FileField
from django.forms import forms
from django.template.defaultfilters import filesizeformat
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from django.core.exceptions import ValidationError
from persian_tools im... | null | info/models_utils.py | models_utils.py | py | 2,136 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "persian_tools.national_id.validate",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "persian_tools.national_id",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 14,
"usage_type": "c... |
457565877 | from django.shortcuts import HttpResponse
from django import views
from django.urls import path, include
import django
import os
from django.db import models
from django import forms
from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
import sys
sys.path += ['c:\\Us... | null | Django/model_validation.py | model_validation.py | py | 4,367 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ.setdefault",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
... |
421853259 | ###
# Copyright (c) 2014-2018, James Lu <james@overdrivenetworks.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,... | null | FML/plugin.py | plugin.py | py | 5,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "supybot.i18n.PluginInternationalization",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "supybot.callbacks.Plugin",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "supybot.callbacks",
"line_number": 44,
"usage_type": "name"
},
... |
442495927 |
from bs4 import BeautifulSoup
from requests import get # --it comes with get for requests
import re
## connects to the url passed and parses it with beautiful soup
def visitSite(url):
response = get(url)
return BeautifulSoup(response.content, 'html.parser')
## Returns the links belonging to the elemen... | null | Scraper/WebScraperUtil.py | WebScraperUtil.py | py | 1,453 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numbe... |
556766401 | """
"""
import sqlite3
import argparse
from clldutils.clilib import Table, add_format
def register(parser):
add_format(parser, 'pipes')
parser.add_argument('--dbpath', default=None, help=argparse.SUPPRESS)
def run(args):
conn = sqlite3.connect(args.dbpath or args.repos.dbpath)
cu = conn.cursor()
... | null | src/pygeoroc/commands/stats.py | stats.py | py | 583 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "clldutils.clilib.add_format",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.SUPPRESS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cl... |
178655793 | # %%
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
#from sklearn.neighbors import NearestNeighbors
import GeometryFunctions as gf
#import GeneralLattice as gl
import LAMMPSTool as LT
#import LatticeDefinitions as ld
import sys
#import MiscFunctions as mf
#import itertools as... | null | WriteTJIDswithGraphs.py | WriteTJIDswithGraphs.py | py | 3,779 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "LAMMPSTool.LAMMPSData",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "LAMMPSTool.LAMMPSGlobal",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 42,
"usage_type": "call"
},
{
"api_n... |
419015388 | import configparser
from datetime import datetime
import os
from pyspark.sql import SparkSession
from pyspark.sql.functions import udf, col
from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, date_format
config = configparser.ConfigParser()
config.read('dl.cfg')
os.environ['AWS_ACCESS_KEY_ID... | null | .ipynb_checkpoints/etl-checkpoint.py | etl-checkpoint.py | py | 6,922 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.... |
291290918 | import datetime
from typing import List, Dict
import requests
import dataclasses
import pandas as pd
from notion.client import NotionClient, CollectionRowBlock
from notion.collection import NotionDate
# ref: https://github.com/jamalex/notion-py/issues/292#issuecomment-791139647
def notion_settings() -> None:
"""... | null | src/utils/notify.py | notify.py | py | 5,727 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tzlocal.get_localzone",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "notion.store",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "notion.store",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "notion.clie... |
49614772 | from rrt import build_obstacle_course
from rrt import add_start_and_goal
import matplotlib.pyplot as plt
from matplotlib.path import Path
import sys, random, math
class RRT():
def __init__(self):
fig, ax = plt.subplots()
build_obstacle_course( './world_obstacles.txt', ax)
start, goal = add_start_and_goal('./sta... | null | Lab4/RRT.py | RRT.py | py | 4,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rrt.build_obstacle_course",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "... |
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