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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
586994983 | import re
import json
import tweepy
import datetime
import time
# Reading secure info from secret_file
access_keys = None
with open('access_keys.json') as json_data:
access_keys = json.load(json_data)
# Authentication using access tokens
authentication = tweepy.OAuthHandler(access_keys["consumer_key"], access_key... | null | Spanish/spanish_tweet_retriever.py | spanish_tweet_retriever.py | py | 6,878 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numbe... |
118768664 | import glob
import os
import random
import nltk.data
import nltk.tokenize
import utils
import csv
import xml.etree.ElementTree
import re
data_paths = {'lambada': '/home/u148187/datasets/LAMBADA',
'personabank': '/home/u148187/datasets/personaBank-v1/original',
'rocstories': '/home/u148187/datasets/R... | null | extract_dialogues.py | extract_dialogues.py | py | 21,786 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.choice",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "re.finditer",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "re.finditer",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number":... |
578441661 | # encoding = utf-8
from locust import HttpLocust, TaskSet, task
import urllib3
class LeadsCloud(TaskSet):
urllib3.disable_warnings()
@task
def open_leads_cloud(self):
header = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.62 Safari/53... | null | LeadsCloud/Leadscloud.py | Leadscloud.py | py | 1,066 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "locust.TaskSet",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "urllib3.disable_warnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "locust.task",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "locust.task",
"l... |
436468827 | from spb.defaults import cfg
from spb.backends.base_backend import Plot
from spb.utils import get_seeds_points
import plotly.graph_objects as go
from plotly.figure_factory import create_quiver, create_streamline
from mergedeep import merge
import itertools
import matplotlib.cm as cm
from spb.backends.utils import conve... | null | spb/backends/plotly.py | plotly.py | py | 37,550 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "spb.backends.base_backend.Plot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 234,
"usage_type": "name"
},
{
... |
83336273 | import numpy as np
from imbDRL.data import load_csv
from imbDRL.metrics import classification_metrics
from sklearn.dummy import DummyClassifier
_, _, X_test, y_test = load_csv("./data/aki0.csv", "./data/aki1.csv", "aki", ["hadm_id"], normalization=True)
def uniform_baseline(X, y):
uniform_clf = DummyClassifier(s... | null | experiments/aki/baselines.py | baselines.py | py | 1,082 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "imbDRL.data.load_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.dummy.DummyClassifier",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "imbDRL.metrics.classification_metrics",
"line_number": 13,
"usage_type": "call"
},
... |
356748106 | import asyncio
import time
import uuid
import elasticsearch
import pytest
from docker import from_env as docker_from_env
from aioelasticsearch import Elasticsearch
@pytest.fixture
def loop(request):
asyncio.set_event_loop(None)
loop = asyncio.new_event_loop()
loop.set_debug(True)
yield loop
... | null | tests/conftest.py | conftest.py | py | 4,427 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.set_event_loop",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asyncio.new_event_loop",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "uui... |
90232098 | # Time:2020-02-29 8:16
# Author:TSL
# driver.tap(x,y)
# 使用场景：当某个元素定位不到
# 解决方法：模拟坐标点击
# 优点：可以暂时解决问题
# 缺点：不能适用不同分辨率的屏幕
#导包
import time
from appium import webdriver
#准备自动化配置信息
desired_caps={
#移动设备平台
'platformName':'Android',
#平台OS版本号
'plathformVersion':'8',
#设备的名称--值可以随便写
'deviceName':'test01... | null | app/day3/3坐标操作.py | 3坐标操作.py | py | 1,395 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
174515944 | import coinmarketcap
import pandas as pd
from datetime import datetime
__version__ = '0.1'
__author__ = 'Anthony Palermo'
def coin_data(coin_name=None):
market_info = coinmarketcap.Market()
if coin_name:
ticker = market_info.ticker(coin_name)
coin_df = pd.DataFrame(ticker)
else:
... | null | deprecated/coin.py | coin.py | py | 671 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "coinmarketcap.Market",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
208366416 | """My_Task URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Cla... | null | urls.py | urls.py | py | 1,712 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "... |
320457113 | # BSD 3-Clause License; see https://github.com/jpivarski/awkward-1.0/blob/master/LICENSE
import operator
import numpy
import numba
from .._numba import util
class ContentType(numba.types.Type):
@property
def shortname(self):
return self.name[:self.name.index("Type")]
@numba.typing.templates.infer_g... | null | awkward1/_numba/content.py | content.py | py | 6,249 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numba.types",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numba.typing",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numba.typing.templates.signature",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "n... |
216990656 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('account', '0022_auto_20150624_1236'),
]
operations = [
migrations.AlterField(
mode... | null | account/migrations/0023_auto_20160427_1046.py | 0023_auto_20160427_1046.py | py | 765 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
106820262 | import sys
from functools import reduce
from itertools import groupby
def get_sum_of_digits(number):
"""Calculates sum of digits in a given number"""
return sum(map(int, str(number)))
def get_num_of_lucky_tickets(num):
"""Get the number of 'lucky' tickets with MapReduce flavor.
Get the count of 2N ... | null | iteration_and_recursion/lucky_tickets/lucky_tickets.py | lucky_tickets.py | py | 1,450 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.reduce",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line... |
71506731 | import os
import uuid
from enum import IntEnum
from django.db import models
from deepdiff import DeepDiff
from django.conf import settings
from django.contrib.postgres.fields import JSONField, ArrayField
from django.template.defaultfilters import slugify
from django.contrib.auth.models import User
from django.contrib.p... | null | file_system/models.py | models.py | py | 18,131 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.IntEnum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.db.m... |
516184069 | import torch
from torch import nn
import torch.nn.functional as F
import numpy as np
import argparse
from SubLayers import MultiHeadAttention, PositionwiseFeedForward
from SubLayers import MultiHeadAttentionMemory
parser = argparse.ArgumentParser()
parser.add_argument('-epoch', type=int, default=10)
parser.add_argu... | null | transformer/unit_test.py | unit_test.py | py | 3,399 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "SubLayers.MultiHeadAttentionMemory",
"line_number": 33,
"usage_type": "call"
},
{
"api_name"... |
312059684 | #!/home/ml/anaconda3/bin/python3
import sys
import signal
import os
import subprocess
import cv2
def extractFrames(filename,pathIn, pathOut):
cap = cv2.VideoCapture(pathIn)
count = 0
while (cap.isOpened()):
# Capture frame-by-frame
ret, frame = cap.read()
if ret == True:
... | null | extract_frame.py | extract_frame.py | py | 670 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
390322308 | from hdfs3 import HDFileSystem, lib
from hdfs3.core import conf_to_dict
from hdfs3.compatibility import FileNotFoundError, PermissionError
import pytest
import ctypes
import os
import tempfile
@pytest.yield_fixture
def hdfs():
hdfs = HDFileSystem(host='localhost', port=8020)
if hdfs.exists('/tmp/test'):
... | null | hdfs3/tests/test_hdfs3.py | test_hdfs3.py | py | 7,615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hdfs3.HDFileSystem",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.yield_fixture",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pickle.loads",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pickle.dumps... |
140694828 | import os
import sys
from unittest import TestCase
from faker import Faker
import pandas as pd
import numpy as np
PROJECT_PATH = os.path.abspath(
os.path.join(os.path.dirname(__file__), '../../../')
)
if PROJECT_PATH not in sys.path:
sys.path.append(PROJECT_PATH)
from server.data_processors import TeamDataSt... | null | server/tests/unit/data_processors/test_team_data_stacker.py | test_team_data_stacker.py | py | 2,441 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9... |
449779681 | try:
import fortnitepy, fortnitepy.errors, BenBotAsync, asyncio
import aiohttp
import getpass
import time as delay
import datetime
import json
import logging
import sys
from colorama import init
init(autoreset=True)
from colorama import Fore, Back, Style
except ModuleNotFound... | null | fortnite.py | fortnite.py | py | 17,128 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "colorama.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.ge... |
480706101 | from sklearn.svm import SVC
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
def plot_decision_regions(X, y, classifier, te... | null | Chapter3-使用scikit-learn巡覽機系學習分類器/linearSVM.py | linearSVM.py | py | 2,298 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.ar... |
574385557 | """
Copyright (c) 2019 10x Genomics, Inc. All rights reserved.
Produces a websummary output as a single html page with embedded plots.
"""
from __future__ import division
import matplotlib
matplotlib.use("Agg")
matplotlib.rcParams['figure.figsize'] = (9.0, 6.0)
matplotlib.rcParams.update({'font.size': 12})
matplotl... | null | mro/atac/stages/validate/create_validation_plots/__init__.py | __init__.py | py | 9,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams.update",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ma... |
648546029 | import os
import tensorflow as tf
from matplotlib import pyplot as plt
from PIL import Image
import tensorflow as tf
import tensorflow.contrib.slim as slim
slim.learning.train
slim.separable_conv2d
import numpy as np
PATH_TO_TEST_IMAGES_DIR = 'D:\Images'
TEST_IMAGE_PATHS = [os.path.join(PATH_TO_TEST_IMAGES_DIR, 'image{... | null | Demo/test1.py | test1.py | py | 2,776 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.contrib.slim.learning",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.contrib.slim",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tensorflow.contrib.slim.separable_conv2d",
"line_number": 8,
"usage_type": "a... |
233201135 | import argparse
import logging
import os
import random
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from torch.nn import CrossEntropyLoss
from torch import optim
from nnunet.TransUNet.utils import DiceLoss
from nnunet.TransUNet.vit_seg_modeling import VisionTransformer as ViT_seg
from nnunet.Tr... | null | nnunet/nn-TransUNet/train.py | train.py | py | 7,667 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nnunet.TransUNet.vit_seg_modeling.CONFIGS",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "nnunet.TransUNet.vit_seg_modeling.VisionTransformer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 29,
"usage_type... |
345536121 | import datetime
import os
import json
from tv_project.settings import BASE_DIR
import datetime
path = os.path.join(BASE_DIR, 'show_app/manage_db/json_files_update/')
def _get_db_data() -> dict:
from show_app.models import Show
return {str(i['id_tvmaze']): i['updated'] for i in Show.objects.all()... | null | show_app/manage_db/get_updated.py | get_updated.py | py | 1,649 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tv_project.settings.BASE_DIR",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "show_app.mode... |
254417093 | """
Script plots polar cap heights in all model simulations
Notes
-----
Author : Zachary Labe
Date : 23 February 2020
"""
### Import modules
import datetime
import numpy as np
import matplotlib.pyplot as plt
import cmocean
import calc_Utilities as UT
import scipy.stats as sts
import read_CTLNQ as CONT
import... | null | Scripts/plot_Monthly_ZCAP.py | plot_Monthly_ZCAP.py | py | 13,652 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "read_ExpMonthly.readExperi",
"line_number": 56,
"usage_type": "call"
},
{
"api_name"... |
300743502 | """
.. module: s3.models
:platform: Unix
:copyright: (c) 2017 by Netflix Inc., see AUTHORS for more
:license: Apache, see LICENSE for more details.
.. author:: Mike Grima <mgrima@netflix.com>
"""
from marshmallow import Schema, fields
from marshmallow.fields import Field
from datetime import datetime
from ... | null | s3-report/s3/models.py | models.py | py | 1,781 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.date... |
115715957 | # _*_ coding:utf-8 _*_
# 文件作者: ZHMing123
# 开发时间：2020/5/11 19:50
# 文件名称：multiproccessing_test.py
# 开发工具：PyCharm
import os
import time
from concurrent.futures import ProcessPoolExecutor
import multiprocessing
# ProcessPoolExecutor是对multiproccessing的封装
# 多进程编程
def get_html(seconds):
time.sleep(seconds)
print("s... | null | chapter11/multiproccessing_test.py | multiproccessing_test.py | py | 3,078 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Po... |
20013063 | from django.shortcuts import get_object_or_404, render
from django.http import Http404
from django.http import HttpResponse
from django.http import JsonResponse
from django.core.mail import send_mail
from django.core.exceptions import ObjectDoesNotExist
from django.conf import settings
from django.template.loader impor... | null | registration/views.py | views.py | py | 13,335 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.CourseEvent.objects.order_by",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.CourseEvent.objects",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "models.CourseEvent",
"line_number": 32,
"usage_type": "name"
},
{... |
639844107 | # -*- coding: utf-8 -*-
# @Time : 2019/3/26 14:38
# @Author : Edrain
import random
import datetime
from util.use_json import UseJson
from util.addr import addr
class CommonTool:
def is_contain(self, str_one, str_two):
"""判断一个字符串是否在另一个字符串中。str_one:查找的字符串，str_two:被查找的字符串"""
return str_two == st... | null | interface-demo02/util/common_tool.py | common_tool.py | py | 4,219 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.randint",
"li... |
615030552 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 2 16:20:56 2016
File Name:
Description: This program retrieves the NIH data for NIHM institute.
Inputs: Last Name, First Name
Output: Data available for the given name.
Author: Subhash C Thakur
"""
import requests
import lxml.ht... | null | Python/getnihdata.py | getnihdata.py | py | 949 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "lxml.html.document_fromstring",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 29,
"usage_type": "name"
}
] |
99664258 | import time
import zmq
import sys
import os
import sched
sys.path.append(os.getcwd())
if not __package__:
path = os.path.join(os.path.dirname(__file__), os.pardir)
sys.path.insert(0, path)
from threading import Thread
from Common.tinyrpc.transports.zmq import ZmqServerTransport
from Common.publisher import Z... | null | Prm.app/Contents/MacOS/prmtester/AynsLock/LockServer.py | LockServer.py | py | 3,799 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
158696969 | """Class holding survey properties."""
import math
import numpy as np
import os
import pandas as pd
from scipy.special import j1
import frbpoppy.galacticops as go
from frbpoppy.log import pprint
from frbpoppy.paths import paths
class Survey:
"""
Method containing survey parameters and functions.
Args:
... | null | frbpoppy/survey.py | survey.py | py | 19,057 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "frbpoppy.paths.paths.surveys",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "frbpoppy.paths... |
218095662 | import torch
import torch.nn as nn
import time
import numpy as np
import random
from torch.autograd import Variable
from math import ceil
from functools import reduce
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class MatMatMul:
def generate_data(self):
#Generating random sizes of data... | null | dump/gpumm/tutorial.py | tutorial.py | py | 3,579 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.ran... |
493174596 | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
import collections
class Solution(object):
def minDepth(self, root):
"""
:type root: TreeNode
:rtype: int
"""
... | null | practice/solution/0111_minimum_depth_of_binary_tree.py | 0111_minimum_depth_of_binary_tree.py | py | 1,089 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
}
] |
94579650 | from datetime import datetime
import random
import pickle
import json
import os
from .news import get_current_news
from .swear_words import has_swear_words
import tensorflow as tf
import numpy as np
import tflearn
import nltk
from nltk.stem.lancaster import LancasterStemmer
# ----------------------------------------... | null | bototo/main.py | main.py | py | 5,742 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.... |
25220151 | """Version tools set."""
import os
import subprocess
import click
import json
import urllib.request
from typing import Callable, Optional, Union
from setuptools_scm import get_version
def get_version_from_scm_tag(
*,
root: str = '.',
relative_to: Optional[str] = None,
local_scheme: ... | null | create_aio_app/utils/versiontools.py | versiontools.py | py | 2,153 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "setuptools_scm.get_versi... |
144114376 | import sys
import re
import os
import matplotlib.pyplot as plt
import numpy as np
from scipy import signal
from scipy.signal import argrelextrema
from numpy import matlib as mb
sys.path.append("/Users/YKK/Documents/GitHub/LMBTrain/btkmac")
import btk
# Data conversion from .c3d to csv
# Directory settings
Input_Dir ... | null | dataread.py | dataread.py | py | 3,982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.append",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.signal.butter",
... |
336832070 | #!/usr/bin/env python
# Imports
import pandas as pd
import pycamhd as camhd
from datetime import datetime
import yaml
from azure.storage.blob import BlobServiceClient
import fsspec
# constants
repodir = '/home/tjc/github/ooicloud/ooi-opendata/'
# Open current dbcamhd.json file
dbcamhd_url = 'https://ooiopendata.blob... | null | scripts/update_dbcamhd.py | update_dbcamhd.py | py | 3,254 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fsspec.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobSe... |
235425724 | import torch
import torch.nn as nn
import nltk
from tqdm import tqdm
def validate(BOS, EOS, encoder, decoder, valid_loader, valid_word_data, dictionary, max_len, device):
encoder.eval()
decoder.eval()
pbar = tqdm(valid_loader, ascii=True)
output_sentences = []
for batch in pbar:
... | null | validate.py | validate.py | py | 2,405 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tqdm.tqdm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.t",
"line_number": 28,
... |
90942880 | import cv2
import numpy as np
import math
import sys
import struct
#takes a png file with an alpha channel and plots it to a ply file scaled to the subject's known height.
def cudaPlotSilhouette(png):
#4 channel RGBA image represented as a numpy array
#img[r,c] = [b, g, r, a], img[r,c,3] = alpha channel
i... | null | findborder/cudareadsilhouette_test_graph_4directions.py | cudareadsilhouette_test_graph_4directions.py | py | 4,377 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 80,
"usage_type": "call"
}
] |
15248556 | from flask import Flask, render_template, request
import requests, csv
app = Flask(__name__)
response = requests.get("http://api.nbp.pl/api/exchangerates/tables/C?format=json")
data = response.json()
rates = data[0]['rates']
with open('currency.csv', 'w') as csvfile:
currencywriter = csv.writer(csvfile, delimiter... | null | currency.py | currency.py | py | 1,061 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_nu... |
642992699 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import warnings
warnings.filterwarnings('ignore')
import os
import re
import logging
from typing import List, Dict, Any
import spacy
import fitz
import pysbd
import time
PUNCTS = (".", "!", "?", "\"")
def i... | null | PdfParser.py | PdfParser.py | py | 15,394 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number"... |
223105893 | #==============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2020, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following condi... | null | TrainingExtensions/tensorflow/src/python/setup.py | setup.py | py | 4,639 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_... |
456465028 | # coding:utf-8
from django.shortcuts import render
from django.http import JsonResponse
from django.shortcuts import render_to_response
from models import Servers
from django.views.decorators.csrf import csrf_exempt
from MyCmdb.views import loginValid
from Users.models import Users
import paramiko
@csrf_exempt # 接口... | null | MyCmdb/Server/views.py | views.py | py | 5,869 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Servers.objects.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "models.Servers.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "models.Servers",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": ... |
399872410 | from ovito.io import import_file
import numpy as np
import matplotlib.pyplot as plt
# Load input simulation file.
node = import_file('/Users/eason/Downloads/drive-download-20190123T185018Z-001/post.*')
my_var = {}
M1list = []
M2list = []
M3list = []
M4list = []
M5list = []
M6list = []
M7list = []
M8list = []
M9list = ... | null | draw.py | draw.py | py | 3,859 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ovito.io.import_file",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
29376361 | import pygame, itertools, os
class Board():
def __init__(self):
self.screen = pygame.display.set_mode((BOARD_SIZE, BOARD_SIZE))
pygame.display.set_caption('Chess')
self.background = self.make_background()
self.text_box = self.add_text_box(150, 30)
def add_text_box(self, w, h):
... | null | chess_main-pg16.py | chess_main-pg16.py | py | 5,848 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "p... |
122943337 | # flake8: noqa
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from rest_framework.authtoken.models import Token
from ..models import CustomUser
class UserTests(APITestCase):
@classmethod
def setUpTestData(cls):
cls.user = CustomUser.obje... | null | recipe-api/users/tests/test_views.py | test_views.py | py | 3,094 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.CustomUser.objects.create",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.CustomUser.objects",
"line_number": 14,
"usage_type": "attribute"... |
381252274 | import numpy as np
import mdtraj as md
import glob
a1 = np.append(np.arange(71,515), np.arange(668,1005))
a2 = np.append(a1, np.arange(1141,1744))
a3 = np.append(a2, np.arange(1860,2121))
a4 = np.append(a3, np.arange(2714,3113))
a5 = np.append(a4, np.arange(3383,3819))
a6 = np.append(a5, np.arange(4022,4382))
TM = a6
... | null | featurization_RMSD.py | featurization_RMSD.py | py | 627 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number":... |
483746021 | #!/usr/bin/env python
import os
import sys
import motor
if 'OPENSHIFT_REPO_DIR' in os.environ:
virtenv = os.environ['OPENSHIFT_DIY_DIR'] + '/virtenv/venv'
os.environ['PYTHON_EGG_CACHE'] = os.path.join(virtenv, 'lib/python3.3/site-packages')
virtualenv = os.path.join(virtenv, 'bin/activate_this.py')
... | null | diy/app.py | app.py | py | 1,785 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line... |
566510144 | import psycopg2
import collections
import simplejson as json
connection = psycopg2.connect(user="quikbot",
password="1Minus0123",
host="database-1.cfzq7u8p3cto.us-west-2.rds.amazonaws.com",
port="5432",
... | null | py_sql_code/sql_connection.py | sql_connection.py | py | 1,303 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psycopg2.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "simplejson.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "simplejson.d... |
623253299 | import py.test
from mock import patch, Mock
from ceph_deploy.util import pkg_managers
class TestRPM(object):
def setup(self):
self.to_patch = 'ceph_deploy.util.pkg_managers.wrappers'
@py.test.mark.skipif(reason='failing due to removal of pushy')
def test_extend_flags(self):
fake_check_ca... | null | ceph_deploy/tests/unit/util/test_pkg_managers.py | test_pkg_managers.py | py | 623 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mock.Mock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ceph_deploy.util.pkg_managers.rpm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ceph_deploy.ut... |
6363056 | import django_filters
from django.db.models import Q
from django.utils.timezone import now
from rest_framework import filters, serializers, viewsets
from rest_framework.pagination import LimitOffsetPagination
from democracy.enums import Commenting, InitialSectionType
from democracy.models import Hearing, Section, Sect... | null | democracy/views/section.py | section.py | py | 4,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "democracy.views.base.BaseImageSerializer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "democracy.models.SectionImage",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 20,
"u... |
539233384 | from __future__ import print_function
import sys
import argparse
import logging
from jwst.associations.lib.log_config import log_config, DMS_config
from jwst.associations.association import AssociationRegistry
from jwst.associations.generate import generate
from jwst.associations.pool import AssociationPool
# Config... | null | jwst/associations/main.py | main.py | py | 5,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jwst.associations.lib.log_config.log_config",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
... |
19044578 | import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
import reference_database as rdb
from matplotlib import rc
rc('font',**{'family':'serif','serif':['Palatino']})
rc('text', usetex=True)
plt.style.use('seaborn-white') # from defaut
plt.rcParams.update({'font.size': 20})
plt.rcParams['savefig.... | null | Analysis/Tools/timeSeries_returnOuterVariables/cut1_new_static.py | cut1_new_static.py | py | 2,737 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",... |
252015763 | #!/usr/bin/env python3
"""Kickstart Alarm. Kickstart 2019 practice round. OMG OMG!
Alvaro Leal <AlvaroLeal@AlvaroLeal.net>, 2019
"""
# import pytest
import sys
from datetime import datetime
def get_subarray_sum(subarray, K):
sum = 0
for k in range(1, K + 1):
tmp_sum = 0
index = 0
for ... | null | 2019/practice_round/kickstart_alarm/main.py | main.py | py | 2,695 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
396668407 | # -*- coding: utf-8 -*-
import os
import re
import json
import time
import random
import requests
import cairosvg
from lxml import etree
from login.chaojiying import Chaojiying_Client
from tor_spider.settings import proxy_table,cookie_table,mysql_conn,proxy_mysql_conn
from login.mylog import logger
logger = logger()
c... | null | login/xbtpp.py | xbtpp.py | py | 7,007 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "login.mylog.logger",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "requests.session",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "login.mylog.logger.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "login.myl... |
603988876 | import time, pygame, sys, random
pygame.init()
width, height = 700, 700
backgroundColor = 255, 255, 255
dvdLogoSpeed = [1, 1]
white = 255, 255, 255
black = 0, 0, 0
screen = pygame. display.set_mode((width, height))
despourRelancer = [0, 0, 0, 0, 0]
listedeDes = [1, 1, 1, 1, 1]
contrat = []
queue1 = False
queue2 ... | null | Pygame/Yams.bck/Célian_Yams_anime.py | Célian_Yams_anime.py | py | 38,660 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
123006639 | # -*- coding: utf-8 -*-
"""Movies views."""
from django.views.generic import ListView, DetailView, CreateView, UpdateView, DeleteView
from django.contrib import messages
from django.contrib.messages.views import SuccessMessageMixin
from django.shortcuts import redirect
from django.http import Http404
from django.urls... | null | moviesapp/movies/views.py | views.py | py | 3,188 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "models.Movie",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 31,
"usage_type": "name"
},
{
"api_na... |
14585415 | # coding:utf8
import numpy as np
import codecs
import torch
import torch.utils.data as D
from torch.autograd import Variable
from collections import deque
import pandas as pd
word2id = {} # word2id的字典
id2relation = {} # id转关系的字典
max_len = 50 # 字向量的长度
word2id_file = './data/people-relation/word2id.txt'
id2re... | null | test_api.py | test_api.py | py | 6,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_num... |
577277651 | import pya # import python module
import os # needed to find the script directory (in the second last line)
def adjustOriginCenter(frame):
"""
adjust the cell origin to the center of the design
"""
trans = pya.Trans.new(-frame.center())
for inst in layout.top_cell().each_inst():
layout.top_cell().transfo... | null | python/210423-myoshi.py | 210423-myoshi.py | py | 3,503 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pya.Trans.new",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pya.Trans",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pya.Layout",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pya.LayerInfo",
"line_numbe... |
642417556 | # Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import absolute_import
import collections
import os
from pex.common import filter_pyc_dirs, filter_pyc_files, touch
from pex.compatibility import urlparse
from pex.tracer... | null | pex/vendor/__init__.py | __init__.py | py | 9,049 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pex.typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath... |
205737880 | from dataclasses import dataclass, field
from typing import List, Optional
from .annotation import (
AdminData,
Annotation,
DocumentationBlock,
)
from .category_string import CategoryString
from .identifier import Identifier
from .multi_language_overview_paragraph import MultiLanguageOverviewParagraph
from ... | null | autosar/models/alive_supervision.py | alive_supervision.py | py | 9,797 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Optional",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "identifier.Identifier",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "typing.Option... |
138542727 | import numpy as np
from typing import Tuple, Optional
from tqdm import tqdm
from ..util import online_variance, is_power_of_ten
from ..density import Distribution
from ..sampling import Sample
class ImportanceMC(object):
""" Importance sampling Monte Carlo integration.
Importance sampling replaces the unifo... | null | src/hepmc/core/integration/importance.py | importance.py | py | 13,509 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "density.Distribution",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"... |
617155889 | # -*- coding: UTF-8 -*-
import simplejson as json
import time
import os
import requests
from django.contrib.auth.decorators import permission_required
from django.http import HttpResponse
from common.utils.extend_json_encoder import ExtendJSONEncoder
from .models import Instance, TcloudCdbConfig, Config, Reso... | null | sql/backup.py | backup.py | py | 6,930 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Instance.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Instance.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Instance",
"line_number": 17,
"usage_type": "name"
},
{
"api_name... |
366610547 | from ._compat import filename_to_ui
from ._compat import get_text_stderr
from ._compat import PY2
from .utils import echo
def _join_param_hints(param_hint):
if isinstance(param_hint, (tuple, list)):
return " / ".join(repr(x) for x in param_hint)
return param_hint
class ClickException(Exception):
... | null | metaflow/_vendor/click/exceptions.py | exceptions.py | py | 8,118 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "_compat.PY2",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "_compat.PY2",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "_compat.get_text_stderr",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "utils.echo",
"lin... |
394434159 | import os
import math
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
import os
from .. import path as path
from collections import Counter
import plotly as p
import plotly.graph_objs as go
from plotly.offline import plot
#import realnetwork.path as path
from ..plot_util im... | null | ns/home/utils/random_network/random_network_analyzer.py | random_network_analyzer.py | py | 5,378 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.log",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random.poisson",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.binomial... |
369623233 | import networkx as nx
from networkx.readwrite import json_graph
import json
import numpy as np
NUMBER = 2000
EACH = 1000
FILENAME = 'data1/ex3'
def createG(n, label, val, test):
m = n / 1000
n = n / m
#G = nx.grid_2d_graph(m, n)
G = nx.complete_graph(n)
#G = nx.path_graph(n)
l... | null | generate_graph.py | generate_graph.py | py | 3,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "networkx.complete_graph",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "networkx.set_node_attributes",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "netwo... |
295071283 | from .datasets import MOMENTS
import torch
import torch.nn as nn
from .datasets import save_batch_image, save_epoch_image
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class Robust:
def __init__(self, model, transformer, dataset_name, epsilon, test_dataset):
self.model = model
... | null | umbreon/robust.py | robust.py | py | 4,258 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datasets.MOMENTS",
... |
322714568 | import random
import Draw
import itertools
class Grid:
def probabilistic_blocks(self):
b = set()
for y in range(self.rows):
for x in range(self.cols):
if (y, x) == self.finish or (y,x) == self.start: continue
count = 1.2
total = 0
... | null | Maze.py | Maze.py | py | 4,799 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"... |
554164723 | from rest_framework import serializers
from apps.movies import models
class MovieCreateSerializer(serializers.Serializer):
title = serializers.CharField(required=True)
class MovieSerializer(serializers.ModelSerializer):
id = serializers.CharField(read_only=True)
title = serializers.CharField(max_length... | null | apps/movies/serializers.py | serializers.py | py | 1,904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 7,
"usage_type"... |
290471041 | from datetime import datetime
from itertools import chain
from django.db.models import Prefetch
from upday.models import Conclusion, CommunityAdministrator, Achievement, Answer
from upday.modules.channel.service.channel_service import ChannelService
from upday.modules.common.service.achievement_service import Achieve... | null | upday/modules/community/service/conclusion_service.py | conclusion_service.py | py | 15,546 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "upday.models.Conclusion.objects.filter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "upday.models.Conclusion.objects",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "upday.models.Conclusion",
"line_number": 26,
"usage_type": "n... |
594819401 | # This file is Copyright (c) 2020 Franck Jullien <franck.jullien@gmail.com>
# License: BSD
from enum import IntEnum
def K(x, y):
"""K code generator ex: K(28, 5) is COM Symbol"""
return (y << 5) | x
def D(x, y):
"""D code generator"""
return (y << 5) | x
# Symbols (6.3.5) ---------------------------... | null | pcie_analyzer/common.py | common.py | py | 2,187 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.IntEnum",
"line_number": 36,
"usage_type": "name"
}
] |
380391750 | import wmi
class VM():
crt = wmi.WMI(namespace="root/virtualization/v2", find_classes=False)
system_man = crt.Msvm_VirtualSystemManagementService()[0]
def __init__(self,name):
self.name = name
def create_vm(self,vmname,cpu_number,mem_quantity):
vcpu = self.crt.Msvm_ProcessorSettingDa... | null | create_virtual_machine_wmi.py | create_virtual_machine_wmi.py | py | 1,608 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wmi.WMI",
"line_number": 5,
"usage_type": "call"
}
] |
232170363 | '''
This program is free software; you can redistribute it and/or modify
it under the terms of the Revised BSD License.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.... | null | upcean/barcodes/prepil.py | prepil.py | py | 1,837 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "upcean.fonts.fonts",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "upcean.fonts",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "upcean.fonts.fonts",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "upcean.f... |
456417887 | #!/usr/bin/env python3
"""Reads all .edm files in a sub folder and saves data to a dump file.
Usage:
read_all [<start> [<end>]]
"""
from io_EDM.edm import EDMFile
import itertools
import glob
import sys, os
import pickle
from docopt import docopt
args = docopt(__doc__)
all_files = sorted([x for x in glob.glob("al... | null | utils/read_all.py | read_all.py | py | 1,189 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "docopt.docopt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "io_EDM.edm.EDMFile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"lin... |
31828737 | """
Our modification of Ian Danforth's modification:
https://gist.github.com/iandanforth/e3ffb67cf3623153e968f2afdfb01dc8
of the OpenAI Gym (Discrete) Cartpole:
https://github.com/openai/gym/blob/master/gym/envs/classic_control/cartpole.py
which was itself based on Sutton's implementation:
http://incompleteideas.net/... | null | pilco/environments/custom/continuous_cartpole.py | continuous_cartpole.py | py | 6,228 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gym.Env",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_numb... |
103202859 | from PyQt5.QtCore import QRegExp, Qt
from PyQt5.QtGui import QFont, QSyntaxHighlighter, QTextCharFormat
class RustHighlighter(QSyntaxHighlighter):
def __init__(self, parent=None):
super(RustHighlighter, self).__init__(parent)
keyword_format = QTextCharFormat()
keyword_format.setForeground... | null | src/syntax.py | syntax.py | py | 2,423 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtGui.QSyntaxHighlighter",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QTextCharFormat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.darkBlue",
"line_number": 10,
"usage_type": "attribute"
},
{... |
515603246 | from flask import Flask
from views import index
app = Flask(__name__)
app.register_blueprint(index.blueprint, url_prefix='/')
if __name__ == '__main__':
app.secret_key = 'secret_key'
app.run(host='0.0.0.0')
| null | app.py | app.py | py | 218 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "views.index.blueprint",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "views.index",
"line_number": 6,
"usage_type": "name"
}
] |
481835513 | # uncompyle6 version 3.7.4
# Python bytecode 2.4 (62061)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.darwin-8.8.2-i386/egg/worldcookery/tests/test_size.py
# Compiled at: 2006-09-21 05:27:35
import unittest
from zope.i18n import translate
from worldco... | null | pycfiles/worldcookery-2.0.1-py2.4/test_size.py | test_size.py | py | 1,202 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "worldcookery.recipe.Recipe",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "worldcookery.size.RecipeSize",
"line_number": 20,
"usage_type": "call"
},
{
"ap... |
640802571 | from flask import Flask, render_template, session
'''from OpenSSL import SSL
context = SSL.Context(SSL.SSLv23_METHOD)
context.use_privatekey('server.key')
context.use_certificate('server.crt')'''
from src.common.database import Database
from src.model.users.users import User
app = Flask(__name__)
app.config.from_obj... | null | src/app.py | app.py | py | 1,314 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.model.users.views.user_blueprint",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "src.model.staffs.views.staffs_blueprint",
"line_number": 22,
"usage_type": "argument... |
367396906 | import numpy as np
import matplotlib.pyplot as plt
import sys
import os
import matplotlib.patches as mpatches
font = { 'size' : 15}
plt.rc('font', **font)
filename = 'plot_' + sys.argv[1].replace('.','_')
markersize = 10
colors = ['b','g','r','c','m','y']
styles = ['o','s','v','^','D',">","<","*","h","H","+","1","2"... | null | Plotting/plot_roofline.py | plot_roofline.py | py | 5,197 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"lin... |
262498417 | from functools import wraps
import importlib
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from core.config import cfg
from model.roi_pooling.functions.roi_pool import RoIPoolFunction
from model.roi_crop.functions.roi_crop import RoICropFunction
... | null | lib/modeling/CE3D_model_builder.py | CE3D_model_builder.py | py | 6,056 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "modeling.model_builder.Generalized_RCNN",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "core.config.cfg.LESION",
"line_number": 29,
"usage_type": "attribute"
},
{
... |
184197435 | from test import Test
from itertools import product
from client import Client
import pickle
name_hash = {'win7': b'win7 ',
'win10': b'win10',
'suse': b'suse '}
if __name__ == '__main__':
#format = machine delay loss filename=name duration=time
machines = ['win7', 'win10', 'suse']
delays ... | null | cetin/TCP benchmark/testmaker2.py | testmaker2.py | py | 1,013 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "client.Client",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "client.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "test.Test",
"line_... |
370323862 | import os
import time
from django.shortcuts import render, redirect
from django.urls import reverse
from django.views.generic import ListView
from rest_framework.decorators import api_view, renderer_classes
from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.response import Response
... | null | classifier/views.py | views.py | py | 5,270 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "user.views",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "user.views.validate_n_get_user",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "m... |
500641120 | """gameGeek URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-base... | null | gameGeek/urls.py | urls.py | py | 2,139 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "... |
577972477 | #Ne pas oublier de changer le module à importer
module="Maths/random_exo_1"
import sys
import io
from importlib import reload #Pour réimporter plusieurs fois
#On récupère les données de l'utilisateur
sauvegarde_stdout=sys.stdout
sys.stdout=io.StringIO()
# On va simuler beaucoup de lancer pour vérifier que la répartitio... | null | python-project/Maths/random_exo_1_Test.py | random_exo_1_Test.py | py | 2,187 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line... |
518770597 | # !/usr/bin/env python
# coding: utf-8
import threading
from lib import db
from smzdm_case import TitleCase, CommentCase, CatesstrCase, ArticleMallCase, RmbPriceSmallCase, RmbPriceBigCase, \
ArticleWorthyCase, ArticleUnworthyCase, WorthyPrecentageCase, ArticleCollectionCase, ArticlePriceCase
from smzdm_filter impor... | null | core/smzdm_search.py | smzdm_search.py | py | 2,930 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "smzdm_logger.UsualLogging",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "smzdm_case.TitleCase",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "... |
547574911 | from django.urls import path
from django.urls.conf import re_path
from .api import (
MyQuizListAPI,
QuizDetailAPI,
QuizListAPI,
SaveUsersAnswer,
SubmitQuizAPI,
)
urlpatterns = [
path("my-quizs/", MyQuizListAPI.as_view()),
path("quizs/", QuizListAPI.as_view()),
path("save-answer/", Save... | null | quiz/urls.py | urls.py | py | 489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.MyQuizListAPI.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.MyQuizListAPI",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.u... |
43639594 | import pandas as pd
import matplotlib.pyplot as plt
def get_categorical_variables(df):
result = []
for i in df.columns:
if df.loc[:,i].nunique() < 20:
result.append(i)
return result
def get_numerical_variables(df):
cols = df._get_numeric_data().columns
res=list(cols)
retur... | null | build.py | build.py | py | 1,492 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
312232236 | """
Custom argument parser.
"""
import argparse
class ArgumentParser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
"""A custom argument parser."""
kwargs['add_help'] = False # use a custom help message (see below)
kwargs['formatter_class'] = argparse.RawTextHelpFormatter... | null | msl/network/cli_argparse.py | cli_argparse.py | py | 567 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparse.SUPPRESS",
"line_number": 19,
"usage_type": "attribute"
}
] |
242325308 | from django import template
from django.template.defaultfilters import stringfilter
import re
register = template.Library()
@register.filter
@stringfilter
def dropptag(value):
"""Removes opening / closing tags from beginning and end.
Use before safe."""
new_value = re.sub(r'^<p>', '', value) # opening
... | null | home/templatetags/home_extras.py | home_extras.py | py | 419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_numbe... |
590526410 | import pdb
import time
import argparse
import os
import datasets_skimage as datasets
from PIL import Image
import numpy as np
import json
import torch
import torchvision
import torchvision.transforms as transforms
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data i... | null | write_txt_free.py | write_txt_free.py | py | 11,515 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "os.cp... |
36775514 | #!/usr/bin/env python3
#ar_analysis.py
#Nick Florek
#This script scrubs the output of several AR resistance databases searches into 1 output.
import argparse
import os
import csv
def check_cov(hit):
cov = float(hit[8])
ide = float(hit[9])
if cov and ide > 98:
return True
else:
return... | null | scripts/ar_analysis.py | ar_analysis.py | py | 3,133 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
... |
267510022 | import pygame
from pygame.sprite import Group
from src.settings import Settings
from src.game_stats import GameStats
from src.scoreboard import Scoreboard
from src.button import Button
from src.ship import Ship
from src.alien import Alien
from src import game_functions as gf
def run_game():
# Initialize pygame, set... | null | src/giorgio_invasion.py | giorgio_invasion.py | py | 1,603 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "src.settings.Settings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.disp... |
355684849 | #!/usr/bin/env python
# coding: utf-8
import pandas as pd
import psycopg2
import os
import logging
import time
import seaborn as sns; sns.set(color_codes=True)
import matplotlib.pyplot as plt
from sqlalchemy import text
from sqlalchemy import create_engine
# Get environment variables
host = os.environ['IMS_HOSTNAME'... | null | Python/ims24/oldfolders/module/visualize.py | visualize.py | py | 3,799 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_num... |
299156842 | #-------------------------------------------------------------------------------
# Name: RDF parser
# Purpose: Loads RDF XMLs from zip and xml files to pandas DataFrame in a triplestore manner
#
# Author: kristjan.vilgo
#
# Created: 13.12.2018
# Copyright: (c) kristjan.vilgo 2018
# Licence: GP... | null | Tools/RDF_PARSER/RDF_parser.py | RDF_parser.py | py | 26,248 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.set_option",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
341668034 | import sys
import os
sys.path.append(os.path.abspath("../"))
import argparse
from enum import Enum
import io
from gcloud import storage
from google.cloud import vision
from google.cloud.vision import types
from PIL import Image, ImageDraw
import os
import tempfile
from pdf2image import convert_from_path, convert_from_... | null | sag_sheet_src/main.py | main.py | py | 3,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
91663949 | import argparse
import datetime
import requests
def get_trending_repositories(top_size, days_count):
"""
Finds %top_size% repositories with the largest amount of stars
created in the last %days_number% days.
:returns (username, repo_name, repo_link) generator
"""
delay = datetime.timedelta(day... | null | github_trending.py | github_trending.py | py | 3,666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.ge... |
607427581 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from ray import tune
from ray.rllib.agents.impala import ImpalaTrainer
from ray.rllib.agents.a3c import A3CTrainer
from ray.tune import grid_search
from gym import spaces #space include observation_space and action_space
import numpy as np
import hfo_py
import torch
from... | null | base_IMPALA_multi_agent.py | base_IMPALA_multi_agent.py | py | 2,731 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hfo_py.LOW_LEVEL_FEATURE_SET",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "hfo_py.GOAL",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "gym... |
616340864 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 环境模型：env_0_obstacle .py
# launch文件：one_jackal_image_add_sensor.launch
# world文件：obstacle_sensor.world
import os
import datetime
import time
import random
import math
from collections import deque
import numpy as np
import matplotlib.pyplot as plt
import mxnet as mx
f... | null | 10_static_obstacle/mxnet_dqn_10_static_obstacle.py | mxnet_dqn_10_static_obstacle.py | py | 18,269 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "my_env.envmodel",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mxnet.gpu",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mxnet.gluon.nn",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "mxnet.gluon",
"line... |
78616336 | import json
import requests
import quart
from .errors import *
class Dashboard:
def __init__(self, bot, key, url, *args, **kwargs):
"""Initialize the dashboard"""
self.bot = bot
self.key = key
self.url = url
self.routes = {}
def route(self, func):
if func.__name__ in self.routes.keys():
raise... | null | discord/ext/dashboard/dashboard.py | dashboard.py | py | 944 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 41,
"usage_type": "call"
}
] |
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