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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
223956255 | ##############################################################################
# Copyright 2016-2017 Rigetti Computing
#
# 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... | null | pyquil/qpu.py | qpu.py | py | 3,938 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyquil.api.JobConnection",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pyquil.quil.Program",
"line_number": 52,
"usage_type": "argument"
},
{
"api_name": "pyquil.api.validate_run_items",
"line_number": 54,
"usage_type": "call"
},
{
"ap... |
405086906 | from pyspark.sql import SparkSession
import pyspark.sql.functions as F
f = open('stage1.txt', 'w')
spark = SparkSession \
.builder \
.appName("Python Spark Machine Learning Example") \
.config("spark.sql.shuffle.partitions", "32") \
.getOrCreate()
# rev_data = "s3://assignment2-video-dvd/amazon_rev... | null | mingkai_workspace/stage1.py | stage1.py | py | 2,355 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type": "... |
573445582 | import threading
from queue import Queue
import requests
from lxml import etree
import time
import json
import Url_List
import Build_Request
import ParseHomePage
import Parse_Each_Community
import random
#import QWidget_SHIT
import Get_Subway_latlng
import DataBase_Connect
#存放采集线程的列表
g_crawl_list=[]
g... | null | job_of_python/ershoufang/New_Ver/Thread_TEST_2.py | Thread_TEST_2.py | py | 6,135 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "Build_Request.build_request",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name"... |
300548484 | import logging
from datetime import datetime
import redis
from src.models import User, Block
from src.utils.db_session import get_db
from src.challenges.connect_verified_challenge import connect_verified_challenge_manager
from src.challenges.challenge_event_bus import ChallengeEventBus, ChallengeEvent
from src.utils.c... | null | discovery-provider/tests/test_connect_verified_challenge.py | test_connect_verified_challenge.py | py | 1,721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "src.utils.config.shared_config",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "redis.Redis.from_url",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
647275301 | import cx_Oracle
import plotly.plotly as py
import plotly.graph_objs as go
connection = cx_Oracle.connect("system", '123456', 'DESKTOP-R9NH18C/xe')
cursor = connection.cursor()
cursor.execute("""select buyer_id, order_amount from buyers""")
data = []
for i in cursor:
data.append(i)
sum = 0
for i in ra... | null | km61/Kulish_Oleh/dz 3 Oleh Kulish/N2.py | N2.py | py | 764 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs.Pie",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "plotly.plotl... |
436792873 | from collections import deque
N = 100005
gr = [[] for i in range(N)]
# Function to add edge
def add_edge(u, v):
gr[u].append(v)
gr[v].append(u)
# Function to return the minimum path
# from 0th node to the (n - 1)th node
def dijkstra(n):
# To check whether an edge is visited
# or not and to keep di... | null | min_moves/min_moves.py | min_moves.py | py | 2,030 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
}
] |
371262987 | # coding=utf-8
import multiprocessing
# The socket to bind
# 绑定的Socket地址
bind = "0.0.0.0:8090"
# The maximum number of pending connections
backlog = 2048
# The number of worker processes for handling requests
# 处理请求的worker总数，一般设置为 2-4 ${cup_cores}
workers = multiprocessing.cpu_count() * 2 + 1
# The type of workers ... | null | etc/gunicorn/config.wisdom_brain.py | config.wisdom_brain.py | py | 2,185 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 21,
"usage_type": "call"
}
] |
112139386 | # generator of binomial random variable
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('whitegrid')
from scipy.stats import uniform, binom
# settings
step = 10000
n = 10
p = 0.4
# subroutine
def gen_binomial(n, p):
U = uniform(loc = 0, scale = 1).rvs(size = ... | null | 4_3_generating_binomial_random_variables.py | 4_3_generating_binomial_random_variables.py | py | 1,186 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "seaborn.set_style",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.stats.uniform",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
74222046 | import random
from itertools import cycle
from time import sleep
import numpy as np
from exceptions import AlreadyBusyException
class TicTacToe(object):
def __init__(self):
self.pieces = ["X", "O"]
self.starting_piece = ''
self.player_piece_choice = ''
self.busy_spots = []
... | null | main.py | main.py | py | 5,225 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "exceptions.AlreadyBusyException",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.sleep"... |
231737068 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | null | azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/models/token_information.py | token_information.py | py | 1,259 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 15,
"usage_type": "name"
}
] |
633684366 | from flask import Flask, request, redirect, url_for, render_template
from flask_sqlalchemy import SQLAlchemy
from flask_login import login_user, LoginManager, UserMixin, logout_user, login_required, current_user
from werkzeug.security import check_password_hash
from datetime import datetime
app = Flask(__name__)
app.c... | null | flask_app.py | flask_app.py | py | 8,694 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_login.LoginManager",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask... |
236896422 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.macosx-10.13-x86_64/egg/Obsidian/ddspider.py
# Compiled at: 2018-01-07 08:54:27
# Size of source mod 2**32: 2731 bytes
import time, scrapy
from Obsidi... | null | pycfiles/Obsidian-1.2-py3.6/ddspider.cpython-36.py | ddspider.cpython-36.py | py | 2,978 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.NOTSET",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Spider",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "scrapy.http.Req... |
13146964 | import json
from typing import Iterable, Set, Union
import pkg_resources
name = "stopwordsiso"
STOPWORDS_FILE = pkg_resources.resource_filename(name, "stopwords-iso.json")
# All language code is ISO 639-1
_stopwords_all = {}
with open(STOPWORDS_FILE) as json_data:
_stopwords_all = json.load(json_data)
_langs ... | null | python/stopwordsiso/__init__.py | __init__.py | py | 1,006 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pkg_resources.resource_filename",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Union",
... |
599829907 | # python3
import sys
from collections import namedtuple
Answer = namedtuple('answer_type', 'i j len')
class SubstringCompare:
_prime1 = 10**9+7
_prime2 = 10**9+9
_multiplier = 263
def __init__(self, s, t):
self.s = s
self.t = t
self.hashes1_s = [0]*(len(self.s)+1)
self.hashes2_s = [0]*(len(self.s)+1)
... | null | c2/week3_hash_tables/5_longest_common_substring/common_substring.py | common_substring.py | py | 4,298 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readlines",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 113,
"usage_type": "attribute"
}
] |
263303978 | from typing import List
class Solution:
def minCostClimbingStairs(self, cost: List[int]) -> int:
cost.append(0)
dp = [0] * len(cost)
dp[0] = cost[0]
dp[1] = cost[1]
for i in range(2, len(cost)):
dp[i] = cost[i] + min(dp[i-1], dp[i-2])
return dp[-1]
if ... | null | coding_everyday/lc500+/lc746/MinCostClimbingStairs.py | MinCostClimbingStairs.py | py | 480 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
601968510 | import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt
import nltk
import json
import math
def computeTF(word_dict, doc):
tf_dict = {}
doc_words_count = len(doc)
for word, count in word_dict.items():
tf_dict[word] = count / float(doc_words_count)
... | null | review classifcation/TF-IDF/data_preprocessing.py | data_preprocessing.py | py | 1,337 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.log10",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 55,
"usage_type": "call"
}
] |
524378613 | ##############################################################################
# AnnotatePartsReader.py
# https://github.com/DigiLog-N/DigiLog-N
# Copyright 2020 Canvass Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# Y... | null | digilog_n/AnnotatePartsReader.py | AnnotatePartsReader.py | py | 4,976 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "digilog_n.PlasmaReader.PlasmaReader",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pyarrow.plasma.connect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pyarrow.plasma",
"line_number": 32,
"usage_type": "name"
},
{
"api_nam... |
162199093 | from datetime import datetime
import requests
url = 'http://127.0.0.1:8000/rest/boards/2/'
today = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
data = { 'title':'수정됨2', 'contents':'수정됨2',
'userid':'수정됨2', 'regdate':today }
res = requests.put(url, data=data)
print(res)
print(res.text)
| null | restapi/updateboard.py | updateboard.py | py | 333 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "requests.put",
"line_number": 12,
"usage_type": "call"
}
] |
344901954 |
from PyQt5 import QtCore, QtGui, QtWidgets
from pyqtgraph import PlotWidget
"""
A class made for creating the GUI layout in an application made for a
bachelor project.
The class is made using the Qt framework.
"""
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainW... | null | App/mainwindow.py | mainwindow.py | py | 32,017 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QGridLayout",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "P... |
311194292 | import traceback
import pytest
from utils3.data.printer import print_tree, Layout
class Employee:
def __init__(self, fullname, function, head=None):
self.team = []
self.fullname = fullname
self.function = function
if head:
head.team.append(self)
def __str__(self):... | null | utils3/tests/test_printer.py | test_printer.py | py | 1,521 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.fixture",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils3.data.printer.print_tree",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils3.data.printer.Layout.LR",
"line_number": 35,
"usage_type": "attribute"
},
{
"... |
591239831 | import zlib, base64
from xpathmodel import XPathModel, autoconstruct, validate_regexp
_RE_CLASSNAME = r"[a-zA-Z][a-zA-Z0-9_]*"
_RE_METHODNAME = _RE_CLASSNAME
class CodeContainer(XPathModel):
"Code blocks as sub-elements."
DEFAULT_NAMESPACE=u"local"
_attr_language = u"./@language"
_attr_code_type =... | null | tags/0.3.3/src/slow/model/code_model.py | code_model.py | py | 1,535 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xpathmodel.XPathModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "zlib.decompress",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base64.b64encod... |
403291799 | import re
import json
import os
from functools import wraps
import kokkoro
from kokkoro.typing import *
from kokkoro import logger, KokkoroBot
from kokkoro import priv, log, typing, trigger
from kokkoro.msg_handler import EventInterface
# service management
_loaded_services: Dict[str, "Service"] = {} # {name: servic... | null | kokkoro/service.py | service.py | py | 8,460 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_nu... |
424096014 | from flask import (
Blueprint, flash, g, redirect, render_template, request, url_for
)
from twittoff.auth import login_required
from twittoff.db import get_db
from twittoff.twitter import (
db_add_handle, TweetPackage, update_tweets, get_current_handles
)
from twittoff.forms import AddHandleForm, AnalyzeHandle... | null | twittoff-application/twittoff/home.py | home.py | py | 2,036 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "twittoff.forms.AddHandleForm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "twittoff.forms.AnalyzeHandlesForm",
"line_number": 23,
"usage_type": "call"
},
{
"ap... |
237835642 | import torch
from transformers import RobertaForTokenClassification
from torchcrf import CRF
from src.utils.mapper import configmapper
@configmapper.map("models", "roberta_crf_token")
class RobertaLSTMCRF(RobertaForTokenClassification):
def __init__(self, config, lstm_hidden_size, lstm_layers):
super().__... | null | src/models/roberta_crf_token.py | roberta_crf_token.py | py | 1,994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "transformers.RobertaForTokenClassification",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.LSTM",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": ... |
607685942 | """
Unit Test for PDF
"""
import numpy as np
from math import sqrt
import matplotlib.pyplot as plt
from packages.Constants import PI, EV2J, AMU, K2J, EON_MASS
from scipy.stats import maxwell
from numpy.random import normal, uniform, randint
####################################################################
#######... | null | tests/pdf/Maxwell3D_Distribution.py | Maxwell3D_Distribution.py | py | 3,239 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "packages.Constants.EV2J",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "packages.Constants.EON_MASS",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "math.sqrt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.s... |
479898578 | import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from tqdm import tqdm
from nltk import word_tokenize
from nltk.corpus import stopwords
stop_words = stopwords.words('english')
from keras.layers.core import Dense, Activation, Dropout
from sklearn import preprocessin... | null | yun/yuan.py | yuan.py | py | 6,949 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "panda... |
436359197 | #!/usr/bin/env python
from flask.ext.script import Manager, Server, prompt_bool
from flask.ext.migrate import Migrate, MigrateCommand
from app import app, db
# configure your app
migrate = Migrate(app, db)
manager = Manager(app)
manager.add_command("runserver", Server())
manager.add_command("db", MigrateCommand)
@m... | null | manager.py | manager.py | py | 721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.ext.migrate.Migrate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "app.db",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "flask.ext.script.Manage... |
647809955 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 15 16:31:45 2020
@author: Yesh
"""
import os
#os.chdir('/Users/Yesh/Documents/BDRAD/chest_ct_projects/lung_nodule_slice_localizer')
import numpy as np
import pandas as pd
import time
import argparse
from stl import mesh
import sys
sys.path.append... | null | localize_with_slicenum.py | localize_with_slicenum.py | py | 10,138 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"l... |
510513107 | import json
import requests
import time
get_url = "https://cc.the-morpheus.de/challenges/3/"
post_url = "https://cc.the-morpheus.de/solutions/3/"
d = json.loads(requests.get(get_url).text)
def remove_items(k):
times = []
for _ in range(1000000):
l = d["list"][:]
start = time.time()
wh... | null | Challenge_3/benchmark.py | benchmark.py | py | 808 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 19,
... |
290212761 | # -*- coding: utf-8 -*-
from django.contrib import admin
from settings import MEDIA_URL
from models import News
class NewsAdmin(admin.ModelAdmin):
list_display = ('title', 'slug_title', 'pub_date', 'show', 'icon', )
list_filter = ('pub_date', 'show', )
search_fields = ('title', 'preview', 'content', )
def ic... | null | apps/news/admin.py | admin.py | py | 1,043 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sorl.thumbnail.get_thumbnail",
"line_number": 18,
"usage_type": "call"
},
{
... |
239210407 | import numpy
import matplotlib.pyplot as plt
def PixelPoints (picList, NUM): #picList will be unraveled numpy array of intensity values
#create certain pixels to iterate through
pix1 = 720*260+260 #pixel in middle, will add more later, maybe randomize?
y=[0]*400
x=[0]*400
#do we want average or time s... | null | HetPhaseCam/quick_test.py | quick_test.py | py | 1,119 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ravel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
33448501 | import re
from setuptools import setup
def readme():
with open("README.md", encoding="utf-8") as f:
return f.read()
def get_version(verbose=1, filename="quantumdataset/version.py"):
"""Extract version information from source code"""
with open(filename) as f:
ln = f.readline()
m... | null | extra/setup.py | setup.py | py | 1,381 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.search",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 23,
"usage_type": "call"
}
] |
378556735 | import json
import logging
import os
import pytesseract as ts
from bottle import request
from ocr.api import FileType
from ocr.api import LangType
from ocr.api import ProtocolType
from ocr.api import RecognitionMixin
from ocr.api import optImageForOCR
from ocr.api import run_tesseract
from ocr.common.base import Base... | null | ocr/api/recognition.py | recognition.py | py | 14,798 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ocr.api.FileType.PNG",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "ocr.api.FileType",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ocr.api.... |
459099327 | import json
# 1.读取普通文本文件的内容
def read_text_file(file:str):
"""
读取指定文件中的内容
:param file: 文件地址
:return: 文件中的内容
"""
try:
with open(file,encoding="utf-8")as f:
return f.read()
except FileNotFoundError:
return ""
# 2.读取json文件中的内容
def read_json_file(file:str):
"""
... | null | Python1808/第一阶段/day13-类和对象/Filemanager1.py | Filemanager1.py | py | 1,045 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 38,
"usage_type": "call"
}
] |
169117424 | from django.shortcuts import render
from .models import Category, Tag, Post
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
def home(request):
p = request.GET.get('page', '')
posts_list = Post.objects.all()
categories = Category.objects.all()
tags = Tag.objects.all()
pagin... | null | blog/views.py | views.py | py | 2,103 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Post.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Cate... |
246339818 | import torchvision.models as models
import torch
import torch.nn as nn
'''
model = models.vgg16(pretrained=True)
x = torch.randn((1,3,256,256))
model.features.parameters()
output = model.features(x)
for i in model.features[0].parameters():
print(i)
print(i.shape)
'''
class VGG16_extractor(nn.Module):
d... | null | loss.py | loss.py | py | 2,976 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torchvision.models.vgg16",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torchvision.mo... |
241092064 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 20 01:20:49 2013
@author: adnan
"""
from sklearn import datasets
from sklearn import neighbors
#loading dataset
iris = datasets.load_iris()
# we can found instances and class labels as iris.data and iris.target
#classifier building stage
knn = neighbors.KNeighborsCla... | null | KNN.py | KNN.py | py | 468 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 18,
"usage_type": "call"
},
{
... |
402105880 | """empty message
Revision ID: 2791c8a34d3d
Revises:
Create Date: 2018-10-16 22:39:34.570705
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '2791c8a34d3d'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | null | Project/migrations/versions/2791c8a34d3d_.py | 2791c8a34d3d_.py | py | 8,496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
437433612 | """
Implementation of DDPG - Deep Deterministic Policy Gradient
Algorithm and hyperparameter details can be found here:
http://arxiv.org/pdf/1509.02971v2.pdf
The algorithm is tested on the Pendulum-v0 OpenAI gym task
and developed with tflearn + Tensorflow
Author: Patrick Emami
"""
import tensorflow as tf
fro... | null | src/reinforcement/lstm_ddpg_dynamic/lstm_ddpg.py | lstm_ddpg.py | py | 26,139 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.get_default_session",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "tensorflow.trainable_variables",
"line_number": 57,
"usage_type": "call"
},
... |
329572884 | #!/usr/env/python
# -*- coding: utf-8 -*-
'''
Script to listen on a given port for UDP packets sent by a Forza Motorsport 7
"data out" stream and write the data to a TSV file.
Copyright (c) 2018 Morten Wang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated do... | null | data2tsv.py | data2tsv.py | py | 2,865 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socket.socket",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "logging.info... |
185573312 | from django import forms
from django.contrib.auth import models
from django.db.models.base import Model
from employee.models import *
from django.contrib.auth.models import User
# EMPLoYEE
class EmployeeCreateForm(forms.ModelForm):
image = forms.ImageField(widget=forms.FileInput(attrs={'onchange':'previewImage(this)... | null | src/employee/forms.py | forms.py | py | 903 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.ImageField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django... |
307540120 | import hackbright_app
from flask import Flask, render_template, request, redirect
app = Flask(__name__)
@app.route("/")
def get_github():
return render_template("get_github.html")
@app.route("/add_student")
def add_student():
return render_template("add_student.html")
@app.route("/add_project")
def add_proj... | null | webapp.py | webapp.py | py | 2,278 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_te... |
559715585 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib.request
import urllib.parse
import re
from http.server import BaseHTTPRequestHandler, HTTPServer
import User
import hebChatbot
import simplejson
import json
from States import States
import Options_to_classes
# TODO a class for global variables like that
Reset... | null | hebChatbot/server.py | server.py | py | 7,356 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "User.User",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "User.User",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "urllib.request... |
428378418 | import pytest
class TestBreweryApi:
def test_status_code(self, client_brewery):
res = client_brewery.get_brewery_list()
assert res.status_code == 200, 'Сервис не доступен'
@pytest.mark.parametrize('by_name', ['cooper', 'Co'])
def test_get_list_by_id(self, client_brewery, by_name):
... | null | api_tests/tests/test_brewery_api.py | test_brewery_api.py | py | 1,814 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyte... |
599606148 | # -*- coding: utf-8 -*-
import cv2
import numpy as np
def BGR2GRAY(img):
b = img[:, :, 0].copy()
g = img[:, :, 1].copy()
r = img[:, :, 2].copy()
out = 0.2126*r + 0.7152*g + 0.0722*b
out = out.astype(np.uint8)
return out
def L4N(img):
tag = 0
grid = img.copy()
for j in range... | null | Question_51_60/Labeling 8 Neighborhood.py | Labeling 8 Neighborhood.py | py | 1,222 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.uint8",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_... |
403990143 | from dataprepare import Data
# from model import CaptionGenerator
from config import Config
import tensorflow as tf
import os
import numpy as np
from tqdm import tqdm
from newmodel import RCNNMODEL
import pydicom
from PIL import Image
import cv2
import scipy
import scipy.misc
datapath1 = '/home/wangqiuli/Data/liver_... | null | Code/livercancer2/testmain.py | testmain.py | py | 1,885 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dataprepare.Data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.mgrid",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "numpy.vstack",
"line... |
584412315 | # Dijisktra implementation using adjacency list & priority queue
from collections import defaultdict
import heapq
def print_res(dist):
print("\n\nFinal Result :: ")
print("Vertex Distance from source")
for i in range(len(dist)):
print(i, "\t\t", dist[i])
def print_step(u, ... | null | Graph/adj_list.py | adj_list.py | py | 1,287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "heapq.heapify",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
... |
594541778 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from datetime import datetime
from fabric.state import env
from fabric.context_managers import cd
from fabric.operations import sudo, local
# settings
servers = {
"production": {
"env.server_type": "production",
"env.hosts": ["corp... | null | fabfile.py | fabfile.py | py | 1,588 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetim... |
503667437 | """Tests for the Airthings BLE integration."""
from __future__ import annotations
from unittest.mock import patch
from airthings_ble import AirthingsBluetoothDeviceData, AirthingsDevice
from homeassistant.components.bluetooth.models import BluetoothServiceInfoBleak
from tests.components.bluetooth import generate_ad... | null | tests/components/airthings_ble/__init__.py | __init__.py | py | 2,833 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.mock.patch",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.bluetooth.models.BluetoothServiceInfoBleak",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "unittest.mock.patch",
"line_number": 23,
"usage_t... |
569925843 | import argparse
import itertools
import re
from pathlib import Path
from typing import Any
from typing import Dict
from typing import Generator
from typing import Optional
from typing import Sequence
from typing import Set
from typing import Tuple
from pre_commit_dbt.check_script_has_no_table_name import has_table_nam... | null | pre_commit_dbt/replace_script_table_names.py | replace_script_table_names.py | py | 3,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.Dict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Generator",
"line_number... |
393327512 | from googleapiclient.errors import HttpError
from googleapiclient.discovery import build
from pathlib import Path
import time
import progressbar
import hashlib
def apicall(req):
sleep_time = 2
tries = 0
resp = None
while resp == None:
try:
resp = req.execute()
except HttpEr... | null | gdrove/helpers.py | helpers.py | py | 3,036 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "googleapiclient.errors.HttpError",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "googleapiclient.discovery.build",
"line_number": 37,
"usage_type": "call"
},
{
"api_n... |
254156597 | import os
import docx
from docx import Document
from docx.shared import Inches
import xml.etree.ElementTree as ET
from lxml import etree
from xml.dom import minidom
import json
document = Document('demo.docx')
#print('document')
#print(document.inline_shapes)
#print(document.sections)
#print(document.part._rels)
#for... | null | docReader.py | docReader.py | py | 2,095 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "docx.Document",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lxml.etree.fromstring",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.parseS... |
398907847 | import matplotlib.pyplot as plt
import torch
import numpy as np
class MultimodalHeteroToy():
def __init__(self, N=100, M=2, name=str):
# Make toy dataset
self.N = N # number of data set
self.M = M # number of modality
self.X_train = torch.linspace(0, np.pi * 2, self.N)[:, None]
... | null | ToyPrograms/multimodal_hetero_toyprogram.py | multimodal_hetero_toyprogram.py | py | 2,669 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.stack",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.linspace",
"line_n... |
200225306 | '''
Created on Sep 8, 2018
@author: fxua
'''
import keras.initializers as initializers
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras import regularizers
from keras.models import model_from_yaml
from modules.basics.conf.generalconf import gGeneralConfig
f... | null | py_ml/modules/mlengine_cores/dnncomm/dnncreator.py | dnncreator.py | py | 4,308 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.regularizers.l1",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "keras.regularizers",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "keras.regularizers.l2",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name... |
209351851 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 7 15:37:30 2020
@author: chenlei
"""
from collections import namedtuple
from pandas import DataFrame, Timestamp
from detect_anoms import detect_anoms
from data_utils import format_timestamp,get_gran,time_range
from data_correction import data_correction,data_merge
# fro... | null | detect_df.py | detect_df.py | py | 13,914 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "data_utils.format_timestamp",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "data_utils.time_range",
"line_number": 36,
"usage_type": "call"
},
{
"api_name... |
227745437 | import json
from py42.clients.alertrules.cloud_share import CloudShareClient
class TestCloudShareClient(object):
def test_get_by_id_posts_to_correct_endpoint_for_cloudshare_type(
self, mock_session
):
alert_rule_client = CloudShareClient(mock_session, u"tenant-id")
alert_rule_client.g... | null | tests/clients/alertrules/test_cloudshare.py | test_cloudshare.py | py | 653 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py42.clients.alertrules.cloud_share.CloudShareClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
}
] |
430071240 | from flask import Flask, render_template, request, redirect
from modelos import *
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
@db_session
def index():
if request.method == 'POST':
tarea = request.form.get('tarea')
if tarea:
t = Tarea(texto=tarea)
contexto = {'t... | null | clase05/flask_continuacion.py | flask_continuacion.py | py | 935 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
284570753 | import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
from Variables import *
# Tracer input will always be (1 x 100040)
class Encoder(nn.Module):
def __init__(self, ngpu):
super(Encoder, self).__ini... | null | Tracers/AutoEncoder.py | AutoEncoder.py | py | 2,139 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
425074030 | import sys
import os
import time
boss_path = os.path.dirname(os.path.dirname(__file__))
framework_path = os.path.join(os.path.dirname((os.path.dirname(os.path.dirname(__file__)))),"Framework")
sys.path.append(os.path.join(framework_path,"provisioning_wrappers","boss_wrappers"))
sys.path.append(os.path.join(framework_p... | null | MiV400Automation/lib/BossApiComponent.py | BossApiComponent.py | py | 76,398 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6... |
10375283 | import os
from flask import Flask, jsonify, request
from math import sqrt
app = Flask(__name__)
@app.route('/')
def nao_entre_em_panico():
primos = "2"
num = 3
cont = 0
primo = True
while(cont < 99):
for i in range(2, num-1, 1 ):
if num % i == 0:
primo = False
... | null | primos.py | primos.py | py | 650 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "attribute"
}
] |
443931853 | from django.db import models
from django.utils.translation import ugettext_lazy as _
# заявки пользователей на БЕТА-тест
class Test_registration(models.Model):
email = models.EmailField(
_('email address'),
max_length=255,
unique=True,
db_index=True
)
activation = models.B... | null | ESPOR/registration_for_beta/models.py | models.py | py | 527 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": ... |
129454616 | import json
from xml import etree
import numpy as np
import xml.etree.ElementTree as ET
tree = ET.parse('copa-test.xml')
root = tree.getroot()
choice_test = []
for child in root.findall('item'):
answer = int(child.get('most-plausible-alternative'))
choice_test.append(answer)
choice_test = [x-1 for x in choice_... | null | resources/ProcessData.py | ProcessData.py | py | 2,224 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads... |
186298197 | # -*- coding:utf-8 -*-
# Author : 'SAM'
# CreateTime : '2020/12/10 10:13'
# file : 'RedisSession.py'
# Summary : ''
import json
import random
import string
import time
from hashlib import sha256
from Config.RedisConn import select_redis_db, RedisConn
create_session_id = lambda: sha256((''.join(random.sample(str(stri... | null | Infrastructure/Utils/Session/RedisSession.py | RedisSession.py | py | 2,101 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hashlib.sha256",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "string.digits"... |
651689030 | #### 請解壓縮data.rar，取得本程式之數據 #####
# 驗證碼識別(訓練)
import os
import tensorflow as tf
import numpy as np
import random
import cv2
import math
from sklearn.model_selection import train_test_split
# 不同字符數量
CHAR_SET_LEN = 10
# 批次
BATCH_SIZE = 50
# 圖片高度
IMAGE_HEIGHT = 60
# 圖片寬度
IMAGE_WIDTH = 160
# 獲取數據路徑
imagePaths = []
for ... | null | Tensorflow_進階/06_Multitask_Learning/02_multitask_learning_class_version.py | 02_multitask_learning_class_version.py | py | 16,323 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number":... |
105142045 | import requests
import json
import datetime
import ckanapi
from pprint import pprint
# The original Datapusher code was extracted at some point from
# https://github.com/WPRDC/wprdc-etl
# Datanudger is backward-compatible but uses ckanapi to do the
# heavy lifting. This provides a minimal set of functions to
... | null | datanudger.py | datanudger.py | py | 6,203 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ckanapi.RemoteCKAN",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ckanapi.RemoteCKAN",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utc... |
187298245 | """
Output a normalized vegetative index
"""
import gdal, gdalnumeric, ogr
import Image, ImageDraw
def imageToArray(i):
"""
Converts a Python Imaging Library
array to a gdalnumeric image.
"""
a=gdalnumeric.numpy.fromstring(i.tobytes(),'b')
a.shape=i.im.size[1], i.im.size[0]
return a
d... | null | 08/01-ndvi.py | 01-ndvi.py | py | 4,067 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gdalnumeric.numpy.fromstring",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gdalnumeric.numpy",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gdalnumeric.LoadFile",
"line_number": 42,
"usage_type": "call"
},
{
"api_name... |
375931030 | from django.urls import path, include
from rest_framework import routers
from .views import BrandViewSet, CategoryViewSet, ProductViewSet
router = routers.DefaultRouter()
router.register(r"brands", BrandViewSet, basename="brands")
router.register(r"categories", CategoryViewSet, basename="categories")
router.register(r... | null | apps/catalog/api/v1/urls.py | urls.py | py | 424 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "views.BrandViewSet",
"line_number": 6,
"usage_type": "argument"
},
{
"a... |
536204918 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
from datetime import date
from django.conf import settings
from django.core.cache import cache
from rest_framework import status
from rest_framework.test import APITestCase
from blog.models import User
from .factories import *
class EntryTes... | null | blog_api_media/blog/tests/test_api.py | test_api.py | py | 5,434 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "blog.models.User.objects.create_user",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "blog.models.User.objects",
"line_number": 21,
"usage_type": "attribu... |
130360414 | from util.basic import *
import os
import datetime
import setting
from config import *
os.environ['CUDA_DEVICE_ORDER'] = 'PCI_BUS_ID'
gpu_list = '0' # gpus to runs The element of the list is 'g0,g1,...g,n-1',where n is number of gpu each task uses
setting_name = 'SH_classifier'
kfold = 5
train_repeat = 2
param_settin... | null | train_SH_classifier.py | train_SH_classifier.py | py | 2,660 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "setting.get_param_setting",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dateti... |
491453532 | from tkinter import *
from tkinter import filedialog
from os import chdir,listdir,system
from time import sleep
from pygame import mixer
master = Tk()
volume = 10
i = 0
chdir(f'D:\MUSIC')
list1=(listdir()) # YOU CAN ALSO WRITE AS list1=(listdir('D:\MUSIC'))
dict1={i:f"{list1[i]}" for i in range(len(list... | null | music_Player.py | music_Player.py | py | 2,969 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.chdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number... |
239210469 | from flask import Flask
from flask import request
from flask import jsonify
from flask_sslify import SSLify
import requests
import os
from dotenv import load_dotenv
app = Flask(__name__)
sslify = SSLify(app)
load_dotenv('.env')
token = os.getenv('OAUTH_TOKEN')
URL = 'https://api.telegram.org/bot' + token + '/'
wiki_a... | null | app.py | app.py | py | 1,876 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_sslify.SSLify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"li... |
420888567 | # 将 python_0001 题生成的 200 个激活码（或者优惠券）保存到 MySQL 关系型数据库中。
import pymysql
import logging
import uuid
def save_data_to_db():
try:
# 连接数据库
conn = pymysql.connect(host='localhost', port=3306, user='root',
passwd='123456', db='student', charset='utf8')
# 设置自动提交
... | null | python_daily/test_0003/python_0003.py | python_0003.py | py | 1,970 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymysql.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "uuid.uuid1",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_nu... |
362075831 | import numpy as np
import sys
from metrics import *
import cv2
from debug_utils import *
from tqdm import tqdm
from inspect import signature
from descriptors import *
from local_descriptors_match import match_descriptors_qs_db
from keypoint_finder import compute_keypoints
from descriptors_local import compute_local_des... | null | week5/match_methods.py | match_methods.py | py | 9,487 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tqdm.tqdm",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.argpartition",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "inspect.signature",
... |
107849281 | import pandas as pd
from typing import List, Union
import random
import plotly.express as px
import plotly.graph_objects as go
# dash specific imports
import dash_core_components as dcc
import dash_html_components as html
import dash.dependencies
from dash.dependencies import Input, Output
import dash_bootstrap_compon... | null | app.py | app.py | py | 7,304 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": ... |
201559234 | # -*- coding:utf-8 -*-
""" Common parsing methods """
from __future__ import print_function
import sys
import argparse
import itertools
import iotlabcli
from iotlabcli import helpers
from iotlabcli import rest
DOMAIN_DNS = 'iot-lab.info'
def base_parser(user_required=False):
""" Base parser giving 'user' 'passw... | null | iotlabcli/parser/common.py | common.py | py | 5,992 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "iotlabcli.__version__",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "iotl... |
631364101 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (c) 2016, Qilei
All rights reserved.
摘 要: redirect.py
创 建 者: Qilei
创建日期: 2016-07-02
'''
import tornado.ioloop
import tornado.web
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.redirect("/sec")
# self.write("main ha... | null | python/tornado/redirect.py | redirect.py | py | 674 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornado.ioloop.web",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tornado.ioloop.web",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tornad... |
470680382 | from collections.abc import MutableMapping, Mapping, Iterable, Iterator
class Tree(MutableMapping):
def __init__(self, mapping=None):
self._length = 0
self._root = None
if mapping is not None:
if not isinstance(mapping, Mapping):
class_name = type(self).__name__... | null | data_structures/python/tree.py | tree.py | py | 7,539 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.abc.MutableMapping",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "collections.abc.Mapping",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "collections.abc.Mapping",
"line_number": 56,
"usage_type": "argument"
},
{
... |
156082397 | from __future__ import unicode_literals
from devpi_common.archive import zip_dict
from devpi_web.doczip import get_unpack_path
from devpi_web.indexing import ProjectIndexingInfo
from devpi_web.indexing import preprocess_project
import pytest
def test_inheritance(xom):
with xom.keyfs.transaction(write=True):
... | null | web/tests/test_indexing.py | test_indexing.py | py | 1,861 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "devpi_web.indexing.preprocess_project",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "devpi_web.indexing.ProjectIndexingInfo",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "devpi_common.archive.zip_dict",
"line_number": 26,
"usage_ty... |
117893245 | # -*- coding: utf-8 -*-
from django.core.urlresolvers import reverse
from django.shortcuts import render_to_response
from django.template import RequestContext
from django.contrib.auth.models import User
from mypage.models import FacePhoto
from mysite.polls.models import Poll
from mysite.mypage.models import Request
fr... | null | mypage/views.py | views.py | py | 3,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 20,
... |
114089498 | import bpy, time, traceback, os, json
from bpy.props import StringProperty
from pathlib import Path
from ..interface.dictionary_en import t
def toggle_console():
#show the console so you can see some kind of progression
try:
bpy.ops.wm.console_toggle()
except:
return #only available on win... | null | importing/importbuttons.py | importbuttons.py | py | 7,995 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bpy.ops.wm.console_toggle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bpy.data.texts.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bpy.data",
... |
265076602 | import math
import random
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
def initalize(nodes, adj, num_nodes):
random.seed()
for i in range (0, num_nodes):
status = random.randint(0, 1) # 0 = cooperate, 1 = defect
nodes[i] = status
f... | null | finalProjectSimulation/game.py | game.py | py | 2,131 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "networkx.convert_matrix.from... |
176543906 | import sys, os
from interpreter.scanner.scanner import Scanner
class Dexter:
had_error = False
def __init__(self):
pass
def start(self):
if len(sys.argv) == 2:
self._run_file(sys.argv[1])
elif len(sys.argv) == 1:
self._run_prompt()
else:
... | null | python/src/main.py | main.py | py | 1,373 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number... |
420905792 | import numpy as np
import mmcv
import matplotlib.pyplot as plt
from mmcv import Config
from mmseg.apis import set_random_seed
from mmseg.datasets.builder import DATASETS
from mmseg.datasets.custom import CustomDataset
import os.path as osp
import numpy as np
from PIL import Image
from tqdm import tqdm
import torch, tor... | null | Semantic-Segmantation/train.py | train.py | py | 11,626 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.nanmean",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.nanmean",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.nanmean",
... |
624961401 | from django.utils.text import slugify
import random
import string
def random_string_generator(size=10, chars=string.ascii_lowercase + string.digits):
return ''.join(random.choice(chars) for _ in range(size))
def unique_order_id_generator(instance):
order_new_id=random_string_generator(size=5).upper()
Klas... | null | src/ecommerce/utils.py | utils.py | py | 1,277 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "string.ascii_lowercase",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "random.rand... |
445286732 | import mne
import matplotlib.pyplot as pp
import numpy as np
from sklearn.model_selection import KFold
from mne.decoding import ReceptiveField as RField
from mne.decoding import Scaler as MultiChannelScaler
from sklearn.metrics import r2_score
from sklearn.metrics import mean_squared_error
from scipy.stats import pears... | null | old/decoding_RidgeReg_allChannel.py | decoding_RidgeReg_allChannel.py | py | 30,093 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.KernelPCA",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": ... |
127555233 | from kivy.app import App
from kivy.config import Config
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.button import Button
from kivy.uix.image import Image
from kivy.uix.label import Label
from kivy.metrics import dp
log = print
"""
本次作业需要实现一个功能相对完整，界面优美专业的播放器
本次的播放器不支持播放列表，只支持单曲播放
播放器界面设计参考下面的链接，选一... | null | project/项目9-完整播放器.py | 项目9-完整播放器.py | py | 2,838 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.platform",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "sys.platform",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "kivy.app.App",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "kivy.config.Config.set",
"... |
523192338 | import logging
from szurubooru import config, db
logger = logging.getLogger(__name__)
class DbSession(object):
''' Attaches database session to the context of every request. '''
def process_request(self, request, _response):
request.context.session = db.session()
db.reset_query_count()
d... | null | server/szurubooru/middleware/db_session.py | db_session.py | py | 511 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "szurubooru.db.session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "szurubooru.db",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "szurubooru.db.re... |
243545786 | # 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 ConfigParser
import Queue
import StringIO
import datetime
import logging
import multiprocessing
import os
import ... | null | worker.py | worker.py | py | 12,443 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Lock",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "mozdevice.Dev... |
167096959 | """
Adminlte通用控件
"""
from django import template
from django.template.loader import render_to_string
from django.utils.html import mark_safe
from django.conf import settings
from django.urls import reverse
from zencore.utils.magic import import_from_string
from zencore.utils.magic import call_with_parameters_injection
... | null | src/zencore/adminlte/templatetags/adminlte.py | adminlte.py | py | 2,631 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.Library",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "zencore.u... |
468904516 | # -*- coding: utf-8 -*-
from django.conf.urls import url
import views
urlpatterns = [
url(r'^contact$', views.contact),
url(r'^contact/thanks$', views.contact_thx),
url(r'^about_us$', views.about_us),
]
| null | business_site/apps/page/urls.py | urls.py | py | 217 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.contact",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.conta... |
368869787 | #!/usr/bin/python3
"""
Test for Amenity Class
"""
import unittest
import pep8
from models.base_model import BaseModel
from models.amenity import Amenity
from datetime import datetime
class TestStringMethods(unittest.TestCase):
"""
Testing class
"""
@classmethod
def setUpClass(cls):
"""se... | null | tests/test_models/test_amenity.py | test_amenity.py | py | 1,341 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.amenity.Amenity",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.amenity.Amenity.__doc__",
"line_number": 26,
"usage_type": "attribute"
},
{
... |
430119823 | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Deleting model 'Usuario'
db.delete_table(u'usuario_usuario')
def backwards(self, orm):
# Add... | null | NossaCarona/usuario/migrations/0002_auto__del_usuario.py | 0002_auto__del_usuario.py | py | 939 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "south.v2.SchemaMigration",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "south.db.db.delete_table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "south.db.db",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "south.db... |
229137050 | #!/usr/bin/env python3
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_translate import common_layers # noqa
from pytorch_translate import rnn
class HighwayLayer(nn.Module):
def __init__(
self,
input_dim,
transform_activation=F.relu,
... | null | pytorch_translate/char_encoder.py | char_encoder.py | py | 5,062 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.relu",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.... |
91501813 | import os, time, datetime
from pymongo import MongoClient
# function dbConnect
# Connect to database and return open connected database
def dbConnect(m_user, m_password, m_dbName, ip_addr):
conn = MongoClient('mongodb://'+ m_user +':'+ m_password + ip_addr + m_dbName)
db = conn[m_dbName] # define database
return db... | null | csv2db.py | csv2db.py | py | 3,710 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.scandir",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
136223166 |
# coding: utf-8
# In[312]:
import nltk,re
import pandas as pd
import numpy as np
from nltk import sent_tokenize,word_tokenize
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from pprint import pprint
from collections import Counter
f... | null | 003 source_code/000 school report code/analyze_predict_py/v2/get_vs_by_apply_summarize_and_sentiment.py | get_vs_by_apply_summarize_and_sentiment.py | py | 15,030 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.datetime64",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.timedelta64",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.datetime64",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.timedelta64... |
567368821 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import streamlit as st
@st.cache()
def load_data():
df = pd.read_csv('https://student-datasets-bucket.s3.ap-south-1.amazonaws.com/whitehat-ds-datasets/adult.csv', header=None)
df.head()
column_name =['age', 'w... | null | census_app.py | census_app.py | py | 1,202 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_nu... |
361174366 | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
from typing import List, Tuple, Callable
import numpy as np
import scipy.optimize
from .. import ParameterSpace
from .context_manager import ContextManager
class Optimizer(object):
"""
Class for ... | null | emukit/core/optimization/optimizer.py | optimizer.py | py | 7,086 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "typing.Callable",
"line... |
198985336 | import numpy as np
import gym
from gym import error, spaces, utils
from gym.utils import seeding
N_EDGES = 8
ACTION_MAP = np.array([
[0,1,1,1,0,0,1,0],
[1,0,1,0,0,1,0,1],
[1,1,0,1,0,1,1,1],
[1,0,1,0,1,0,1,1],
[0,0,0,1,0,1,1,1],
[0,1,1,0,1,0,1,1],
[1,0,1,1,1,1,0,0],
[0,1,1,1,1,1,0,0],
]... | null | TD/my_env.py | my_env.py | py | 5,285 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number... |
570543278 | # Databricks notebook source
# MAGIC
# MAGIC %md
# MAGIC # XGBoost
# MAGIC
# MAGIC If you are not using the DBR 7.x ML Runtime, you will need to install `ml.dmlc:xgboost4j-spark_2.12:1.0.0` from Maven, well as `xgboost` from PyPI.
# MAGIC
# MAGIC **NOTE:** There is currently only a distributed version of XGBoost fo... | null | Notebooks/Learning-Spark/Python/Chapter11/11-2 XGBoost.py | 11-2 XGBoost.py | py | 5,392 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.sql.functions.log",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyspark.ml.feature.StringIndexer",
"line_number": 30,
"usage_type": "call"
},
{
... |
84143184 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('MsgDisplay', '0003_auto_20160324_2252'),
]
operations = [
migrations.CreateModel(
name='salesBill',
... | null | MsgDisplay/migrations/0004_auto_20160324_2309.py | 0004_auto_20160324_2309.py | py | 1,084 | python | en | code | null | code-starcoder2 | 83 | [
{
"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.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
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