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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
251738639 | from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.core.exceptions import ObjectDoesNotExist
from .models import Port, Category, BuildHistory, Maintainer, Dependency, Builder, User
from bs4 import BeautifulSoup
from django.core.pagin... | null | app/ports/views.py | views.py | py | 8,739 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Category.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Category",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
100532373 | #!/usr/bin/env python3
import datetime
import json
import os
import re
import fnmatch
import numpy as np
import cv2
from natsort import natsorted
import random
import sys
ROOT_DIR = '/media/juan/Data/retail_products/ceiling/shoot1_one_person_vivoteks'
IMAGE_DIR = os.path.join(ROOT_DIR, "all_cams")
VGG_ANNOTATIONS_DIR... | null | tools_vgg_annotation_to_coco.py | tools_vgg_annotation_to_coco.py | py | 9,190 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
369097868 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('vault', '0002_bluray_dvd'),
]
operations = [
migrations.AlterField(
model_name='dcp',
name='subtitle... | null | vault/migrations/0003_auto_20150512_1942.py | 0003_auto_20150512_1942.py | py | 526 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
483082673 | '''
Evaluate performance of a single trained classifier on multiple patient-stay-slices
'''
import os
import numpy as np
import pandas as pd
from joblib import dump, load
import sys
sys.path.append(os.path.join(os.path.abspath('../'), 'src'))
DEFAULT_PROJECT_REPO = os.path.sep.join(__file__.split(os.path.sep)[:-2])
PR... | null | scripts/mimic3benchmarks_inhospital_mortality/src/evaluate_skorch_lr_surrogate_loss_vs_bce_plus_threshold_search.py | evaluate_skorch_lr_surrogate_loss_vs_bce_plus_threshold_search.py | py | 40,298 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
348403993 | import discord
from discord.ext import commands
class General(commands.Cog):
def __init__(self,bot):
self.bot = bot
@commands.command()
async def role(self, ctx):
import random
roles = ['Damage','Tank','Support']
output = random.choice(roles)
await ctx.send(output)
... | null | cogs/general/__init__.py | __init__.py | py | 366 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discor... |
297732434 | from list_ui import *
import json
import random
import cv2
import json
import os
class MainWindow(QtWidgets.QMainWindow, Ui_MainWindow):
dic={}
files=[]
is_useful = {}
alpha = 0.4
sli_min,sli_max = 0, 10
all_files = []
key=""
sample = []
com_lists = []
curr_box = ["001",... | null | qt_files/mul_images/listv3.py | listv3.py | py | 7,178 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.sample",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "cv2.addWeighted",
"line_numb... |
106091764 | import unittest
import json
from ..server import app
class TestServer(unittest.TestCase):
def setUp(self):
app.config["TESTING"] = True
app.config["DEBUG"] = True
self.app = app.test_client()
self.assertEqual(app.debug, True)
def test_home_root(self):
response = self.a... | null | ToDo/Tests/test_server.py | test_server.py | py | 681 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "server.app.config",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "server.app",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "server.app.conf... |
79873548 | import dash
import dash_leaflet as dl
import dash_leaflet.express as dlx
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import dash_table
import dash_bootstrap_components as dbc
import pandas as pd
from dash.exceptions import PreventUpdate
from dash.dependencies impo... | null | web_dashboard.py | web_dashboard.py | py | 18,615 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "animal_shelter.AnimalShelter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "attribute"
},
{
"... |
475914742 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.cross_validation import KFold, cross_val_score, cross_val_predict, LeaveOneOut
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import DecisionTreeRegressor
from sklearn import preprocessing
from sklearn import metrics
from sklearn.ensembl... | null | MachineLearning_Python/DecisionTreeNoEntropy_v1.py | DecisionTreeNoEntropy_v1.py | py | 3,455 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33... |
574168276 | # -*- coding: utf-8 -*-
"""Utilities."""
from six.moves import input as raw_input
import os
import sys
def query_yes_no(question, default="yes"):
"""Ask a yes/no question via raw_input() and return their answer.
"question" is a string that is presented to the user.
"default" is the presumed answer if th... | null | dodo_commands/framework/util.py | util.py | py | 2,457 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stdout.write",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "six.moves.input",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
... |
218579025 | import string
import numpy as np
import cv2
import math
def get_vocabulary(voc_type, EOS='EOS', PADDING='PAD', UNKNOWN='UNK'):
voc = None
types = ['LOWERCASE', 'ALLCASES', 'ALLCASES_SYMBOLS']
if voc_type == 'LOWERCASE':
voc = list(string.digits + string.ascii_lowercase)
elif voc_typ... | null | data_provider/data_utils.py | data_utils.py | py | 1,541 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "string.digits",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "str... |
356384684 | import os, sys, threading
from pyspark import SparkConf, SparkContext, SQLContext
from pyspark.sql import SparkSession, DataFrame
conf = SparkConf().setAppName('partitioning')
sc = SparkContext(conf=conf)
spark = (SparkSession.builder.config(conf=conf)
# .config("hive.exec.dynamic.partition", "true") \
... | null | scripts/partition.py | partition.py | py | 3,578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.config",
"line_number": 7,
"usage_type": "call"
},
{
"api_n... |
561675358 | #!/usr/bin/env python
import numpy as np
import random
from ddpg_model import Actor, Critic
import torch
import torch.nn.functional as F
import torch.optim as optim
from ounoise import OUNoise
# Hyperparameters
BUFFER_SIZE = int(1e6) # replay buffer size
BATCH_SIZE = 300 # minibatch size
GAMMA = 0.99 ... | null | ddpg_agent.py | ddpg_agent.py | py | 7,438 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.device",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "ddpg_model.Actor... |
569805392 | #!/usr/bin/env python3
import sys
import os
import pandas as pd
import numpy as np
import pandas as pd
import folium
import urllib
import json
import socket
from ipwhois import IPWhois
import pycountry
import io
import requests
import xarray as xr
import numpy as np
import pandas as pd
import holoviews as hv
import ge... | null | scripts/scraper.py | scraper.py | py | 6,638 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "holoviews.notebook_extension",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_... |
361257440 | from django.shortcuts import render
from django.views import generic
from catalogue.models import Post
from django.contrib.postgres.search import SearchVector
from django.http import HttpResponse
from member.models import Member
class IndexView(generic.ListView):
template_name="catalogue/catalogue.html"
def get_query... | null | A_library_V3/catalogue/views.py | views.py | py | 1,672 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "catalogue.models.Post.objects.all",
"line_number": 10,
"usage_type": "call"
},
... |
117829544 | #!/usr/bin/env python3
import hashlib
import random
import subprocess
import unittest
from pathlib import Path
from faker import Faker
from src.anonfile import AnonFile, get_logfile_path
TOKEN = None
def test_option(token):
TOKEN = token
def md5_checksum(path: Path) -> str:
with open(path, mode='rb') as... | null | tests/test_anonfile.py | test_anonfile.py | py | 4,203 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "hashlib.md5",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "faker.Faker",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "src.anonfile.AnonFile",
"lin... |
377789540 | import sys
import traceback
from functools import wraps
from tornado import web
from tornado.escape import json_decode, json_encode
from tornado.log import app_log
from graphql.error import GraphQLError
from graphql.error import format_error as format_graphql_error
from graphql import graphql
from .session_control imp... | null | maverick_api/modules/base/tornadoql/graphql_handler.py | graphql_handler.py | py | 4,872 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornado.web.HTTPError",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "graphql.error.GraphQLError",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "gra... |
448220795 | import os
import cv2
from skimage import io
import shutil
from imgseg import segmentationUtils
from imgseg import annotationUtils
from geojson import FeatureCollection, dump
from skimage import measure
def masks_to_annotation(datasets_dir, save_path):
masks_dir = os.path.join(datasets_dir, "labels_all")
nuclei... | null | src/imgseg/geojson_utils.py | geojson_utils.py | py | 8,914 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
213927346 | # encoding: UTF-8
import abc
import inspect
import types
import six
from combo_x40.core.frozen_types import FrozenObject
from combo_x40.core.utils import resolve_module
class CodeElement(object):
MODULE = 1
ANNOTATION = 2
CLASS = 4
FUNCTION = 8
PROPERTY = 16
DESCRIPTOR = 32
ANY = MODULE... | null | combo_x40/core/annotations.py | annotations.py | py | 6,384 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "inspect.ismodule",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "inspect.isclass",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "inspect.isclass",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "inspect.isfunct... |
338550461 | from django.urls import path, include
from rest_framework import routers
from . import views
app_name = 'blog'
router = routers.DefaultRouter()
router.register('posts', views.AllPostsViewSet)
router.register('post', views.PostViewSet)
urlpatterns = [
path('', views.home, name="homepage"),
path('list', views.... | null | src/blog/urls.py | urls.py | py | 471 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_na... |
396635104 | import os
import time
from pathlib import Path
import pandas as pd
import torch
from torch.nn import SmoothL1Loss
from torch.utils.data import DataLoader
from ts.es_rnn.config import get_config
from ts.es_rnn.model import ESRNN
from ts.es_rnn.trainer import ESRNNTrainer
from ts.utils.data_loading import SeriesDataset... | null | ts/es_rnn/main.py | main.py | py | 3,204 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ts.utils.helper_funcs.set_seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ts.utils.helper_funcs.MODEL_TYPE.ESRNN",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
347395599 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | null | vsts/vsts/release/v4_1/models/release_environment.py | release_environment.py | py | 10,222 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 12,
"usage_type": "name"
}
] |
279469332 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.switch_backend('agg')
#%matplotlib inline
from glob import glob
from tqdm import tqdm
import cv2
from PIL import Image
from imgaug import augmenters as iaa
#from keras.callbacks import TensorBoard
#from keras.utils import ... | null | test_inception_resnet_v2.py | test_inception_resnet_v2.py | py | 7,481 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nump... |
9251953 | """
www.dorkal.com
:author
Dedaldino M. Antonio (3D)
:decryption
This software was developed Dedaldino Mambuenze Antonio,
an programmer Python, love a lot python and others languages like Java, JavaScript, C++, Earlang, Go
Dorkal, Inc - All right reserved © 2020
"""
import re
from backend.p... | null | backend/users/models.py | models.py | py | 16,866 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.base_user.BaseUserManager",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.base_user.AbstractBaseUser",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.PermissionsMixin",
"l... |
604230836 | import os
import numpy as np
import pandas as pd
from PIL import Image
from torchvision import transforms
import torch.utils.data as data
class DatasetFLViT(data.Dataset):
def __init__(self, args, phase ):
super(DatasetFLViT, self).__init__()
self.phase = phase
if args.dataset == "cifa... | null | utils/data_utils.py | data_utils.py | py | 5,279 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.joi... |
590898886 | # Copyright 2021 Hathor Labs
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | null | hathor/conf/get_settings.py | get_settings.py | py | 1,437 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "importlib.import_module",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "importlib.impo... |
644000189 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
from os.path import join
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
# define the CLI arguments
parser = argparse.ArgumentParser()
parser.add_argument('--batch_s... | null | fullstack/python/tensorflow/cat-dogs-dataset-with-tensorflow-pfehrmann.py | cat-dogs-dataset-with-tensorflow-pfehrmann.py | py | 9,322 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.read_file",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tensorflow.image.decode_image",
"line_number": 41,
"usage_type": "call"
},
{
"api_na... |
314570330 | # Copyright (c) 2018, Novo Nordisk Foundation Center for Biosustainability,
# Technical University of Denmark.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/lic... | null | tests/conftest.py | conftest.py | py | 4,483 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warehouse.app.init_app",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "warehouse.app.app",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "warehouse.app.app.app_context",
"line_number": 33,
"usage_type": "call"
},
{
"api_na... |
380656250 | from django.urls import path
from . import views
app_name='homemap'
urlpatterns=[
path('',views.index,name='index'),
path('create/',views.create,name='create'),
path('delete/<int:id>',views.delete,name='delete'),
path('update/<int:id>',views.update,name='update'),
path("select/",views.select,name='... | null | homemap/urls.py | urls.py | py | 448 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
411491777 | import re
import json
import os.path
import unicodedata
from urllib import parse, request
import requests
import urllib.request
import sys
import json
def gethouselink(ln):
link=ln.replace('- ','-')
link=link.replace('? ','-')
link=link.replace(', ','-')
link=link.replace(' ','-')
print(link)
prefix='http:... | null | househunter/generatehouses.py | generatehouses.py | py | 10,423 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.path.isfile",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 75,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"li... |
369394031 | import logging
LOGGER = logging.getLogger()
try:
HANDLER = LOGGER.handlers[0]
except IndexError:
# This is required for local testing
HANDLER = logging.StreamHandler()
LOGGER.addHandler(HANDLER)
LOGFORMAT = "[%(asctime)s] %(levelname)s:%(name)s:%(message)s"
HANDLER.setFormatter(logging.Formatter(LOGFOR... | null | logger/logger_format.py | logger_format.py | py | 376 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO"... |
369176508 | import tensorflow as tf
import keras
import numpy as np
print(tf.__version__)
# loading train data
imdb = keras.datasets.imdb
(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=1000)
#Explore the data
print("Training entries: {}, labels: {}".format(len(train_data), len(train_labels)))
''... | null | IMDB-textmining.py | IMDB-textmining.py | py | 2,091 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "keras.datasets",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "keras.preprocessing.sequence.pad_sequences",
"line_number": 47,
"usage_type": "call"
},
... |
337069339 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 13 14:45:21 2021
@author: Mike
"""
import pygame.font
from pygame.sprite import Group
from ship import Ship
class Scoreboard:
"""A class to report scoring information"""
def __init__(self, ai_game):
"""Initialize scorekeeping attributes"""
se... | null | src/scoreboard.py | scoreboard.py | py | 1,693 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.font.font.SysFont",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.font.font",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.font",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pygame.spr... |
313094868 | # -*- coding: utf-8 -*-
"""
@author: brendan.fitzpatrick
Questions
-------------------------------------------------------------------------------
1. The stakeholder wants the message_blast chart to have two new fields:
total_emails_clicked and
total_emails_opened.
How can we provide this information... | null | NJOY/basic_data.py | basic_data.py | py | 4,332 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.ExcelWriter",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"... |
212320947 | import datetime
import json
class TaskCache(object):
def __init__(self, use_cache, cache_path):
self.use_cache = use_cache
self.cache_path = cache_path or '.asanagh.cache'
def load(self):
if not self.use_cache:
return {}
try:
with open(self.cache_path) ... | null | asana_to_github/taskcache.py | taskcache.py | py | 1,023 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"li... |
545857024 | import pytest
from triangle import triangle_type
many_triangles = [
(90, 60, 30, "right"),
(100, 40, 40, "obtuse"),
(60, 60, 60, "acute"),
(0, 0, 0, "invalid")
]
def idfn(a_triangle):
a, b, c, expected = a_triangle
return f'{a}-{b}-{c}-{expected}'
@pytest.fixture(params=many_triangles, ids=... | null | 2020/pycon_2020/code/test_11.py | test_11.py | py | 486 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "triangle.triangle_type",
"line_number": 23,
"usage_type": "call"
}
] |
296662924 | # -*- mode: python; coding: utf-8 -*
# Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 3-clause BSD License
from __future__ import absolute_import, division, print_function
import numpy as np
import os
import sys
import six
from six.moves import map, range, zip
import warnings
import astropy.co... | null | pyuvsim/uvsim.py | uvsim.py | py | 21,498 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.isclose",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.isclose",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "astropy.time.Time",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "astropy.units.Hz",
... |
371815025 | import logging
from pprint import pformat
LOGGER = logging.getLogger(__name__)
class APIItems:
"""Base class for a map of API Items."""
def __init__(self, raw, request, path, item_cls):
self._request = request
self._path = path
self._item_cls = item_cls
self._items = {}
... | null | aiounifi/api.py | api.py | py | 1,087 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 17,
"usage_type": "call"
}
] |
254806145 | #!/usr/bin/python
"""
for testing run:
(python3 gloss_links.py test_data/gloss_key.txt test_data --lf
"test_data/gloss_links_inp1.txt" "test_data/gloss_links_inp2.txt")
--------- for understanding code --------
Each file is opened only once now.
The data structure used in new version
is a bit complicated:
-> keyword_c... | null | gloss_links.py | gloss_links.py | py | 5,306 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.sub",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 88,
"usage_type": "call"
}
] |
169599884 | # coding=utf-8
# !/usr/bin/python
"""
INFO:
DESC:
script options
--------------
--param : parameter list
Created by Samujjwal_Ghosh on 11-Apr-17.
__author__ : Samujjwal Ghosh
__version__ = ": 1 $"
__date__ = "$"
__copyright__ = "Copyright (c) 2017 Samujjwal Ghosh"
__license__ = "Python"
Supervised a... | null | SMERP17_CNE.py | SMERP17_CNE.py | py | 5,498 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "platform.system",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"... |
180891043 | from django.urls import path
from . import views
from .my_views import state_views
from .my_views import old_func_views
from .my_views import old_func_async_views
from .my_views import analyze_cfg_view
from .my_views import parse_cfg_view
from .my_views import task_view
from .my_views import pack_view
from .my_views i... | null | fw_analyze/urls.py | urls.py | py | 6,650 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "my_views.analyze_cfg_view.analyze_cfg",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "my_views.analyze_cfg_view",
"line_number": 20,
"usage_type": "name"
},
{
... |
57798440 | from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import os
from tqdm import tqdm
import torch
import cv2
import numpy as np
class VideoDataset(Dataset):
def __init__(self, data_dir, split):
print('Initialize VideoDataset...')
self.data_dir = os.path.join(dat... | null | SpatialAttention/VideoDataset.py | VideoDataset.py | py | 2,061 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randi... |
316601380 | import json
from datetime import datetime
from django.http import HttpResponse
from oauth2_provider.decorators import protected_resource
from oauth2_provider.models import get_access_token_model
from .util import get_member_data
from core import librato
from user.models import UserOauthActiveLog
AccessToken = get_... | null | apps/api/resources_oauth.py | resources_oauth.py | py | 3,094 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "oauth2_provider.models.get_access_token_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "core.librato.increment",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "core.librato",
"line_number": 19,
"usage_type": "name"
},
{
... |
370528522 | import numpy as np
import matplotlib.pyplot as plt
print("Select an option")
print("Option 1")
print("Option 2")
print("Option 3")
c=input("Select ")
if c=="1":
x=np.linspace(1,100,100)
y=np.sin(x)
plt.plot(x,y)
plt.show()
else:
print("selecciono otro")
| null | main_REMOTE_2214.py | main_REMOTE_2214.py | py | 267 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
274493342 | import logging
from smartcard.CardType import AnyCardType
from smartcard.CardRequest import CardRequest
from smartcard.sw.SWExceptions import SWException
from smartcard.Exceptions import CardRequestTimeoutException
class SmartCardFuzzer():
# Constants for logging a succes
class Status():
SUCCES = 0
... | null | card_fuzzer.py | card_fuzzer.py | py | 5,914 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "smartcard.CardType.AnyCardType",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": ... |
146135795 | import SimpleITK as sitk
import numpy as np
import matplotlib.pyplot as plt
from data_loaders_old import Dataset
from models import Modified3DUNet
import os
import torch
from enum import Enum
# Get paths and names (IDS) of folders that store the multimodal training data
data_path = r'C:\Users\artur\Desktop\UCL\Brats20... | null | segmentation_evaluation.py | segmentation_evaluation.py | py | 2,104 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "data_loaders_old.Dataset",
"... |
423676558 | #Este script te permite recuperar los tweets almacenados en Redis previamente
#Los tweets almacenados usan el tema "Viva México"
#Para organizar los tweets y mostrarlos en pantalla se accede a Redis usando hashmaps
#El script te permite escribir una palabra clave y recuperar los tweets que contienen dicha palabra
#Tamb... | null | Redis/Actividad5/sort_tweets.py | sort_tweets.py | py | 4,818 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "redis.StrictRedis",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "redis.keys",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "redis.hget",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "redis.hget",
"line_number... |
57233834 | from datetime import datetime
from BacktestMarket import BacktestMarket
from FronttestMarket import FronttestMarket
import time
class Trader:
def __init__(self, portfolio, logger, log_level):
self.portfolio = portfolio
self.market = None
self.logger = logger
self.log_level = log_level
def t... | null | src/Trader.py | Trader.py | py | 2,321 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "datetime.da... |
580435353 | #coding=utf-8
from django.core.management.base import BaseCommand, CommandError
from main.models import *
class Command(BaseCommand):
"""Fix data integrity of share_count of Item model """
args = '<item_id item_id ...>'
help = 'Fix data integrity'
def handle(self, *args, **options):
self.stdou... | null | main/management/commands/fix_item_data.py | fix_item_data.py | py | 1,365 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 5,
"usage_type": "name"
}
] |
47352914 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 21 17:29:04 2018
@author: Ashlin
"""
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
import matplotlib.pyplot as plt
import numpy as np
mydata=pd.read_csv("Position_Salaries.csv")
X=mydata.iloc[:,1:2]
y=mydata.iloc[:,-1]
regressor=R... | null | Random Forest Regression.py | Random Forest Regression.py | py | 840 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestRegressor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
620129715 | from copy import error
from django.http.response import HttpResponse
from django.shortcuts import render
from django.http import HttpResponse, request
from rest_framework import serializers, viewsets
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
... | null | back_end_globo/card/views.py | views.py | py | 4,347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "serializers.CardSerializer",
"line_number": 16,
"usage_type": "name"
... |
274772895 | from gensim.models import Word2Vec
from gensim.test.utils import common_texts
from gensim.models import Phrases
import pandas as pd
import re
pd_title = pd.read_excel('./excel_sample/마버리타이틀.xlsx')
raw_title_list = pd_title.bd_title_ko.tolist()
raw_title_list
def refined_special_symbol(str_list):
# 특수문자 제끼기
r... | null | gensim.py | gensim.py | py | 1,098 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_excel",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gensim.models.Phrases",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gensim.models.Word2Vec"... |
594396117 | import asyncio
import json
import logging
from abc import abstractmethod
from threading import Thread
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from llama_index.agent.types import BaseAgent
from llama_index.callbacks.base import CallbackManager
from llama_index.chat_engine.types import... | null | llama_index/agent/openai_agent.py | openai_agent.py | py | 18,383 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "llama_index.tools.... |
623640422 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
from django.contrib.auth.models import AbstractUser
# Create your models here.
class UserProfile(User):
avatar = models.ImageField(upload_to='avatar/%Y/%m/%d', null=True, verb... | null | ask_app/models.py | models.py | py | 6,969 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.models.User",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.ImageField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_... |
165555383 | import multiprocessing as mp
import csv
import nodes
import setup_state
import steady_state
import plt
def main():
if __name__ == "__main__":
pool = mp.Pool(6)
pool.map(fdrc, range(int(input("Simulation times: "))))
def fdrc(k):
# rd = [10, 80] m, step by 5 m
for rd in range(10, 81, 5):
... | null | main.py | main.py | py | 1,816 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "multiprocessing.Pool",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nodes.generate_node",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "setup_state.phase1",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "setup_sta... |
14250168 | import networkx as nx
import numpy as np
import scipy.io
import matplotlib.pyplot as plt
from shapely.geometry.polygon import Polygon
from descartes import PolygonPatch
from matplotlib import animation
from matplotlib.animation import FuncAnimation
from aircraft import Aircraft
import time
class Simulator(object):
... | null | simulator.py | simulator.py | py | 17,938 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.io.io.loadmat",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scipy.io.io",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "scipy.io",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "scipy.io.io.loadmat",
... |
347938655 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render, render_to_response,redirect
from django.contrib.auth import authenticate, login
from ter.models import Way
from shutil import rmtree, copy2, copytree
import os
from os.path import isdir, isfile
import codecs
import plat... | null | ter/views.py | views.py | py | 7,061 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "platform.system",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ctypes.windll.LoadLibrary",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ctypes.windll",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.listd... |
647937047 | from django.shortcuts import render, redirect
from .models import Article, Comment
from .form import ArticleForm, CommentForm
# Create your views here.
def index(request):
articles = Article.objects.all()
context = {
'articles': articles
}
return render(request, 'index.html', context)
def new(... | null | django_pair/start/views.py | views.py | py | 2,319 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Article.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Article.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.Article",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dj... |
641215895 | import logging
import unittest
from mock import Mock
from stompest.config import StompConfig
from stompest.error import StompConnectionError, StompProtocolError
from stompest.protocol import StompFrame, StompSpec, commands
from stompest.sync import Stomp
logging.basicConfig(level=logging.DEBUG)
HOST = 'fakeHost'
PO... | null | stompest/tests/sync_client_test.py | sync_client_test.py | py | 7,165 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "stompest.config.StompConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "un... |
640023408 | import pickle
import re
from pathlib import Path
from string import punctuation
from typing import IO, Any, Dict, List, NamedTuple, Sequence, Tuple, Union
import numpy as np
import pandas as pd
from nltk.tokenize import word_tokenize
from spacy import displacy
from .indexing import PaperIndexer
from .jsonformatter im... | null | corona_nlp/utils.py | utils.py | py | 8,049 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.NamedTuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_n... |
353774507 | import os
import numpy as np
import xlrd
import scipy
from scipy.stats import norm
from pathlib import Path
import pandas as pd
from models.regression.ada_boost_regressor import Ada_boost_regressor
from models.regression.decision_tree_regressor import Decision_tree_regressor
from models.regression.gaussian_process_regr... | null | Default_Project/Master_Script_part_1/models/regression/Student_Performance.py | Student_Performance.py | py | 8,543 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.loadtxt",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.object",
"line_numb... |
89627227 |
import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.cuda.amp import autocast, GradScaler
from torchvision.utils import save_image
from torch.utils.data import random_split
import numpy as np
from ..general import XDoGAnimeFaceDataset, XDoGDanboor... | null | implementations/SCFT/utils.py | utils.py | py | 9,480 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.L1Loss",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.bmm",
"line_number": 26... |
579848129 | import unittest
import gradio.interpretation
import gradio.test_data
from gradio.processing_utils import decode_base64_to_image, encode_array_to_base64
from gradio import Interface
import numpy as np
import os
os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
class TestDefault(unittest.TestCase):
def test_default_... | null | test/test_interpretation.py | test_interpretation.py | py | 5,099 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "gradio.Interface",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "unittest.TestC... |
146790840 | """
Created by nguyenvanhieu.vn at 9/18/2018
"""
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
import json
from sklearn.neighbors import NearestNeighbors
import data_helper
class LDA:
def __init__(self, folders, query, mode):
self.X, self.y, self.path = data_helper.read_data(f... | null | lda.py | lda.py | py | 1,745 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "data_helper.read_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.discriminant_analysis.LinearDiscriminantAnalysis",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "data_helper.read_image",
"line_number": 21,
"usage_type": ... |
436504627 | import os
import tornado.ioloop
import tornado.web
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.render("index.html")
def post(self):
body = self.get_argument('body')
len_body = len(body)
self.render("result.html",
len_body = len_bo... | null | server.py | server.py | py | 801 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tornado.ioloop.web",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "tornado.ioloop.web",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tornado.... |
356561853 | import os
import shutil
import tarfile
from coco_assistant import COCO_Assistant
import data_getter
from pycocotools.coco import COCO
import pytest
@pytest.fixture
def get_data():
if os.path.isdir('./annotations') is False and os.path.isdir('./images') is False:
# Download and extract data
print("Down... | null | tests/tests.py | tests.py | py | 1,944 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.isdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "data_getter.download_file_from_google_drive",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
49756977 | import pytest
import csv
import re
import email as email_lib
import imaplib
from retry import retry
from notifications_python_client.notifications import NotificationsAPIClient
from config import Config
from tests.pages import VerifyPage
class RetryException(Exception):
pass
def remove_all_emails(email=None, ... | null | tests/utils.py | utils.py | py | 7,148 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "config.Config.SERVICE_EMAIL",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "config.Config.SERVICE_EMAIL_PASSWORD",
"line_number": 22,
"usage_type": "attribute"
},
... |
589353255 | # Some pygame helper functions for simple image display
# and sound effect playback
# Rob Miles July 2017
# Version 1.0
import time
import random
import pygame
surface = None
sound_available = False
def setup(width=800, height=600, title=''):
'''
Sets up the pygame environment
'''
global window_size
... | null | 5. Making Decisions in Programs/snaps.py | snaps.py | py | 11,255 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
566027923 | from typing import List
import torch
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.modules import TextFieldEmbedder
from allennlp.nn import util
from .seq2vec_encoder import Seq2VecEncoder
def masked_mean_pooling(embedding_sequence: torch.Tensor, mask: torch.Tensor):
embedding_sequence = e... | null | examples_allennlp/utils/retrieval/models/bag_of_embeddings.py | bag_of_embeddings.py | py | 2,307 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.max",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line... |
234756079 | from typing import Dict
from concurrent.futures import (
ProcessPoolExecutor,
ThreadPoolExecutor,
)
from asyncpg.connection import Connection as PgConnection
from helpers import ElasticContext
from .base import BaseUpdater
from .terms import TermUpdater
def get_update_handlers(pg_conn: PgConnection,
... | null | eupdater/helpers.py | helpers.py | py | 1,276 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "asyncpg.connection.Connection",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "helpers.ElasticContext",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "concurrent.futures.ThreadPoolExecutor",
"line_number": 16,
"usage_type": "name"
},... |
424102036 | from django.urls import path
from applications.forms import (
FinancialAidApplicationForm,
ScholarshipApplicationForm,
)
from applications.views import apply, view
app_name = "applications"
urlpatterns = [
# pyre-ignore[16]: This is fixed by https://github.com/facebook/pyre-check/pull/256.
path("edit... | null | src/applications/urls.py | urls.py | py | 911 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "applications.views.apply",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "applic... |
426995395 | import scipy.integrate as spi
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
# N为人群总数
N = 10000
# β为传染率系数
B = 0.01
# y为恢复健康的概率
y = 0.02
# I为感染者的初始人数
I = 1
# S为易感者的初始人数
S = N - I
# 感染者每天接触人数
r = 10
# T为传播时间
T = 200
# INI为初始状态下的数组
INI = (S, I)
def funcSIS(inivalue, _):... | null | SIS_Model.py | SIS_Model.py | py | 1,083 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.ara... |
593448263 |
# coding: utf-8
# In[1]:
import requests
from bs4 import BeautifulSoup
from collections import OrderedDict
from contextlib import closing
# In[2]:
url = 'http://us-city.census.okfn.org/place/miami'
# In[3]:
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.content.decode(),... | null | notebooks/MiamiOpenDataCensus.py | MiamiOpenDataCensus.py | py | 2,135 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "contextlib.clo... |
384674994 | import os
from uuid import uuid4
from matplotlib import pyplot
from dds_simulation.conf.default import PROJECT_ROOT
def draw_extrapolation(x_vector, y_vector, partitions_number):
pyplot.figure()
pyplot.ylim(0,1)
pyplot.ylabel('I(U)')
pyplot.plot(x_vector, y_vector, color='b', linewidth=3.0)
pa... | null | dds_simulation/graphs/extrapolation.py | extrapolation.py | py | 1,013 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mat... |
635161876 | from opentelemetry import trace
from opentelemetry.exporter import jaeger
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchExportSpanProcessor
from opentelemetry.instrumentation.flask import FlaskInstrumentor
from flask import Flask
from flask import request
import requ... | null | orchestrator.py | orchestrator.py | py | 1,415 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "opentelemetry.trace.set_tracer_provider",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "opentelemetry.trace",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "opentelemetry.sdk.trace.TracerProvider",
"line_number": 10,
"usage_type": "ca... |
242701061 | import pygame
from constants import *
class Interface(object):
def __init__(self):
pygame.init()
self.resolution = RESOLUTION
self.size = SCREEN_WIDTH, SCREEN_HEIGHT
self.screen = pygame.display.set_mode(self.size)
self.clock = pygame.time.Clock()
self.timestep = 0... | null | CE-288/LeaderElectionNetwork/interface.py | interface.py | py | 2,546 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
256774015 | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from mylinearregression import MyLinearRegression as MyLR
data = pd.read_csv("../resources/spacecraft_data.csv")
X = np.array(data[['Age','Thrust_power','Terameters']])
Xage = np.array(data["Age"]).reshape(-1, 1)
Xthrush = np.array(data["Thrust_po... | null | day01/ex01/multi_linear_model.py | multi_linear_model.py | py | 2,201 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
13509569 | import numpy as np
import keras as keras #Import de keras
import h5py
from keras.preprocessing.image import load_img, img_to_array
from keras.models import load_model
from keras.utils import CustomObjectScope
from keras.initializers import glorot_uniform
from keras.models import load_model
from tensorflow.keras.mod... | null | Archivos de entrenamiento/Clasificador.py | Clasificador.py | py | 1,612 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.load_img",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.img_to_array",
"line_number": 25,
"usage_... |
43954339 | import numpy as np
import scipy as sc
import time
import imageio
import copy
import torch as K
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import gym_wmgds as gym
from sldr.algorithms.ddpg import DDPG_BD
from sldr.experience import Normalizer
from sldr.exploration import Noise
f... | null | sldr/main.py | main.py | py | 19,750 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.device",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "torch.float32",
... |
509299678 | import numpy as np
import matplotlib.pyplot as plt
# Lay a gid over the input space
X = np.arange(0, 10, 0.1)
# Evaluate function
Y = np.sin(X)
# Plotting
fig = plt.figure()
plt.plot(X, Y, ".")
plt.show()
plt.savefig("sin.png")
| null | EX1/plot_sin.py | plot_sin.py | py | 233 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
141050393 | import os
from collections import defaultdict
import sys
import subprocess
import json
import math
import collections
def test(pathInput):
weight = {}
bias = {}
sOperation = ["shift", "reduce left", "reduce right"]
i_phi = {}
pathModel = "model.json"
pathOutput = "out.dep"
class cElement... | null | hShibata/tutorial11/test-sr.py | test-sr.py | py | 4,847 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict... |
448331769 | import numpy as np
import csv
import nibabel as nib
import skimage.transform
import matplotlib as mptlib
mptlib.use('TkAgg')
import matplotlib.pyplot as plt
import time
import math
import scipy as sp
import scipy.stats as stats
from scipy.signal import convolve2d
from preprocess import window
npx = 256
hu_lb = -100... | null | analysis/histogram.py | histogram.py | py | 6,801 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "skimage.transform.transform.resize",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skimage.transform.transform",
"line_number": 28,
"usage_type": "attribute"
},
{
... |
297748593 | # -*- coding: utf-8 -*-
###############################################################
# PyNLPl - WordAlignment Library for reading GIZA++ A3 files
# by Maarten van Gompel (proycon)
# http://ilk.uvt.nl/~mvgompel
# Induction for Linguistic Knowledge Research Group
# Universiteit van Tilburg
#
... | null | formats/giza.py | giza.py | py | 5,995 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bz2.BZ2File",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "bz2.BZ2File",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "itertools.izip",
"line_number": 152,
"usage_type": "call"
}
] |
213805330 | from gdsfactory.components.bend_s import bend_s
from gdsfactory.port import Port
from gdsfactory.types import Route
def get_route_sbend(port1: Port, port2: Port, **kwargs) -> Route:
"""Returns an Sbend Route to connect two ports.
Args:
port1: start port.
port2: end port.
keyword Args:
... | null | gdsfactory/routing/get_route_sbend.py | get_route_sbend.py | py | 2,391 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gdsfactory.port.Port",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "gdsfactory.components.bend_s.bend_s",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "gdsfactory.types.Route",
"line_number": 42,
"usage_type": "call"
},
{
"ap... |
461017342 | # -*- coding: utf-8 -*-
"""Module to render most used components of Beauty Latte."""
from model import HairSalonEs, HairSalon, HairStyleEs, HairStylistEs, CutModelEs
from flask import session
from flaskext.babel import lazy_gettext as _lg
def pc_welcome_hair_stylist(nb_hair_stylist=3, nb_hair_style=2):
"""Get the n... | null | apps/component/beauty.py | beauty.py | py | 17,914 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "model.HairStylistEs.get_pickup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "model.HairStylistEs",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "model.HairStylistEs.PTS_NOT_ASSISTANT",
"line_number": 12,
"usage_type": "attribute"
... |
361417917 | import time
from warnings import warn
from bs4 import BeautifulSoup
import xml.etree.ElementTree as ET
import json
from requests import get
from requests_xml import XMLSession
class ImdbSpider(object):
def scraping(self):
municipios = []
codigo_iteraveis = []
session = XMLSession()
... | null | spider/imdb.py | imdb.py | py | 3,648 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests_xml.XMLSession",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"... |
427236732 | # !/usr/bin/env python3
# -*- coding:utf-8 -*-
# Author:yhq
import xlrd
import re
excel_path = r'C:\WD\WeiDuReport\report\test_en.xlsx'
# excel_path = 'test_en.xlsx'
data = xlrd.open_workbook(excel_path)
table = data.sheet_by_index(3)
row_count = table.nrows
substandard_name = ""
substandard_comments_map = {}
def h... | null | report/hm_temp_en.py | hm_temp_en.py | py | 2,582 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "re.M",
"line_number": 66,... |
401854579 | #!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
import os
import glob
import skimage.io as skio
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from scipy.ndimage.morphology import binary_erosion
##########################################
def MinimizePa... | null | src_experimental_1/step06_simpleCorrSynth/run01_Simple_CorrTextSynth_v2.py | run01_Simple_CorrTextSynth_v2.py | py | 10,818 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.matchTemplate",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.TM_CCORR_NORMED",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.minMaxLoc",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.matchTem... |
236446895 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 19 00:21:43 2019
@author: molguitianzn
"""
import numpy as np
import matplotlib.pyplot as plt
'''
b = 2
for i in range(10):
a += b
print("a = ", a)
a = np.multiply(a, b)
print("new a = ", a)
'''
c = ([1,2,3,4])
d = ([5,6,7,8])
e = np.multiply(c,d)
f = np.tran... | null | HelloWorld.py | HelloWorld.py | py | 535 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.multiply",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"... |
646051753 | # -*- coding: utf-8 -*-
from django.core.cache import caches
cache = caches['default']
def get_cached_or_qs(cache_key, qs, time_to_live):
value = cache.get(cache_key)
if None is value:
value = qs()
cache.set(cache_key, value, time_to_live)
return value
| null | core/instruments.py | instruments.py | py | 284 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.cache.caches",
"line_number": 4,
"usage_type": "name"
}
] |
477495737 | from omxplayer.player import OMXPlayer
from PIL import Image, ImageTk
from collections import OrderedDict
from time import time
import tkinter as tk
import threading
import logging
import dbus
import json
import praw
import re
import os
from tkinter import messagebox
class Reddit:
def __init__(self, data):
... | null | redditplayer.py | redditplayer.py | py | 12,439 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "praw.Reddit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
86127612 | import cv2
from matplotlib import pyplot as plt
import numpy as np
file_name = '/home/nearlab/Downloads/' \
'trainingData_semanticSegmentation/' \
'trainingData_semanticSegmentation/' \
'00000.tif'
image = cv2.imread(file_name)
print(np.unique(image))
plt.figure()
plt.subplot(131)... | null | general/small_test.py | small_test.py | py | 446 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
624135038 | import os
import time
# Widgets
import ipywidgets as widgets
from IPython.display import display, Javascript
# Jupy4Syn
from jupy4syn.utils import logprint
class ExportButtonHTML(widgets.Button):
def __init__(self, config, *args, **kwargs):
"""
**Constructor**
Parameters
... | null | jupy4syn/ExportButtonHTML.py | ExportButtonHTML.py | py | 4,233 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ipywidgets.Button",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "ipywidgets.Button.__init__",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ipywidgets.Button",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name... |
353893996 | #!/usr/bin/env python
# coding:utf-8
import os
import numpy as np
import xlsxwriter
#----------------------------------------------------------
class Analyser(object):
def __init__(self, outdir, category, top=1, multilabel=False):
self.outdir = outdir
self.category = category
s... | null | chainer/ssd_withRotate_Score/utils/analyser.py | analyser.py | py | 12,696 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
650049456 | from AccessControl import allow_module
from Acquisition import aq_inner
from Products.CMFCore.permissions import ModifyPortalContent
from Products.CMFCore.utils import getToolByName
from Products.PluggableAuthService.interfaces.plugins import IRolesPlugin
from Products.ATContentTypes.lib import constraintypes
from zope... | null | plone.products/bungenicms.workspaces/trunk/bungenicms/workspaces/content/principal_content.py | principal_content.py | py | 6,618 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Products.PluggableAuthService.interfaces.plugins.IRolesPlugin",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "zope.app.component.hooks.getSite",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "Products.CMFCore.utils.getToolByName",
"li... |
319320604 | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import re
from urllib.parse import urlparse
from urllib.parse import urljoin
class HtmlParser(object):
def _get_new_urls(self,page_url,soup):
new_urls = set()
links = soup.find_all('a',class_='vd_folder')
for link in links:
new_url = link['href']
n... | null | spider/A_Frame/template/sample_split_version/html_parser.py | html_parser.py | py | 933 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 32,
"usage_type": "call"
}
] |
89264749 | #!/usr/bin/env python
"""
@package ion.services.mi.sbe37_driver
@file ion/services/mi/sbe37_driver.py
@author Edward Hunter
@brief Driver class for sbe37 CTD instrument.
"""
__author__ = 'Edward Hunter'
__license__ = 'Apache 2.0'
import logging
import time
import re
import datetime
from ion.services.mi.instrument_d... | null | ion/services/mi/drivers/sbe37_driver.py | sbe37_driver.py | py | 50,667 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ion.services.mi.common.BaseEnum",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "ion.services.mi.instrument_driver.DriverState.UNCONFIGURED",
"line_number": 42,
"usage_... |
95062391 | import sys
import argparse
import os.path
from api import get_course, split_url, find_module
def parse_args(args):
# help text and argument parser
# solution based on https://stackoverflow.com/a/24181138/462692
desc = '\n'.join(["Adds an exitsing page on Canvas to an existing module in the same course.",
... | null | add_to_module.py | add_to_module.py | py | 2,331 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.split_url",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "api.get_course",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"... |
517257352 | import pandas as pd
import dateutil.parser
import json
import math
import os.path
import shlex
import subprocess
import tempfile
def execute_command(
command):
result = subprocess.call(shlex.split(command))
if result != 0:
raise RuntimeError("Error executing {}".format(command))
def lue_tr... | null | benchmark/lue/benchmark/util.py | util.py | py | 4,435 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.call",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "shlex.split",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.path.expandvars",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.path",
... |
574030004 | import os, webapp2, jinja2
from google.appengine.api import users, memcache
from dkc import jinja_functions
from dkc.models import User
import query
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.join(os.path.dirname(__file__), 'templates')),
extensions=['jinja2.ext.autoescape']... | null | manage/__init__.py | __init__.py | py | 1,594 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jinja2.Environment",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
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