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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
306360855 | import torch
import numpy as np
def featurize_simple(obs, device):
np_featurized = _featurize_simple(obs)
# convert to tensor and send to device
return torch.tensor([np_featurized]).to(device)
def _featurize_simple(obs):
# here we encode the board observations into a structure that can
# be fed ... | null | student_agents/learning_agent/learning_agent/net_input.py | net_input.py | py | 1,582 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.tensor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
... |
494447546 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 15 11:06:40 2018
@author: rulix
"""
import cv2
from SitPosture import SitPosture
image_path='test.jpg'
img=cv2.imread(image_path)
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
model=SitPosture(model_path='model/')
a=model.SitPosJudge(img)
print(a) | null | demo.py | demo.py | py | 320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "SitPosture.SitPosture"... |
89536109 | from spacy.lang.en import English
nlp = English()
# DocとSpanクラスをインポート
from spacy.tokens import Doc, Span
words = ["I", "like", "David", "Bowie"]
spaces = [True, True, True, False]
# docをwordsとspacesから作成
doc = Doc(nlp.vocab, words=words, spaces=spaces)
print(doc.text)
# docから「David Bowie」というスパンを作成し、「PERSON」ラベルを付ける
... | null | exercises/ja/solution_02_06.py | solution_02_06.py | py | 641 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "spacy.lang.en.English",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.Doc",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.Span",
"line_number": 16,
"usage_type": "call"
}
] |
132141424 | from transformers.modeling_bert import BertModel
import torch.nn as nn
# bert模型导入
class BertExtractor(nn.Module):
def __init__(self, config, tok_helper):
super(BertExtractor, self).__init__()
self.config = config
self.bert = BertModel.from_pretrained(config.bert_dir)
self.be... | null | titlecls_project/new_moudle/bertExtractor.py | bertExtractor.py | py | 1,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "transformers.modeling_bert.BertModel.from_pretrained",
"line_number": 8,
"usage_type": "call"
},
{
"a... |
638059422 | from types import SimpleNamespace
import pytest
from cascade.executor.covariate_description import create_covariate_specifications, EpiVizCovariate
@pytest.fixture
def covariate_settings():
study = list()
country = list()
setting = SimpleNamespace()
setting.study_covariate_id = 1604 # one
setti... | null | tests/executor/test_evcovariates.py | test_evcovariates.py | py | 2,853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "types.SimpleNamespace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "types.SimpleNamespace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typ... |
217444746 | import calendar
import copy
import time
import xml.etree.ElementTree as ET
import numpy as np
import qpimage
from skimage.external import tifffile
from .dataset import SingleData
# baseline clamp intensity normalization for phasics tif files
INTENSITY_BASELINE_CLAMP = 150
class LoadTifPhasicsError(BaseException):... | null | qpformat/file_formats/single_tif_phasics.py | single_tif_phasics.py | py | 6,005 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataset.SingleData",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 66,
"usage_type": "name"
},
{
"api_nam... |
96097512 | import collections
import math
import numbers
from ..proba.base import ContinuousDistribution
from . import branch
from . import splitting
class Leaf:
__slots__ = 'depth', 'tree', 'class_counts', 'n_samples', 'split_searchers'
def __init__(self, depth, tree, class_counts=None):
self.depth = depth
... | null | creme/tree/leaf.py | leaf.py | py | 6,594 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numbers.Number",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "math.log",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"lin... |
78269002 | """license: Apache License 2.0, see LICENSE for more details."""
"""Zookeeper Locking Implementations
:Maintainer: None
:Status: Unknown
Error Handling
==============
It's highly recommended to add a state listener with
:meth:`~KazooClient.add_listener` and watch for
:attr:`~KazooState.LOST` and :attr:`~KazooState.S... | null | slider-agent/src/main/python/kazoo/recipe/lock.py | lock.py | py | 17,187 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "kazoo.retry.KazooRetry",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "kazoo.retry.RetryFailedError",
"line_number": 115,
"usage_type": "name"
},
{
"api_name": "kazoo... |
505294338 | import json
from datetime import datetime
from apscheduler.triggers.cron import CronTrigger
import nonebot
import pytz
from nonebot import on_command, scheduler
from aiocqhttp.exceptions import Error as CQHttpError
from .lesson import *
from awesome.plugins.date_time_study.config import *
from .lessons_index i... | null | awesome/plugins/date_time_study/mon.py | mon.py | py | 1,586 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nonebot.get_bot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "name"
}
] |
163399702 | import cv2 as cv
import numpy as np
def background_mask(image, largest_element):
image_copy = image.copy()
# a mask is the same size as our image, but has only two pixel values, 0 and 255 -- pixels with a value of 0 (background) are ignored in the original image while mask pixels with a value of 255 (foregrou... | null | Module1/remove_background/remove_background.py | remove_background.py | py | 839 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.drawContours",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.bitwise_and",
"li... |
565820451 | import discord, asyncio, random, re, signal, string
import urllib.request, json, pickle
import operator
from discord.ext import commands
bot = commands.Bot(command_prefix='!', description='Reacts to given commands, use !help for list of available commands')
wordcount_dict = {}
regex = re.compile('[%s]' % re.escape(s... | null | quotesbot.py | quotesbot.py | py | 4,313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.escape",
... |
473038624 | from json import dump, load
from helper import capture, centered, fill, list_extensions, parseout
with open('extensions.json', 'r+') as f:
installed = list_extensions()
extensions: list = load(f)
success = 0
for idx, e in enumerate(extensions):
print() # New line before header
print(f... | null | install.py | install.py | py | 1,146 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "helper.list_extensions",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "helper.fill",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "helper.capture",
"line... |
105443570 | # -*- coding: utf-8 -*-
import os
import fnmatch
import logging
import re
import threading
import urllib
from functools import partial
from cachetools import cached, LRUCache
from cachetools.keys import hashkey
import text_unidecode
from jsonschema import validators, Draft4Validator
from jsonschema.exceptions import... | null | datafeed/main.py | main.py | py | 27,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sanic.Sanic",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "cachetools.LRUCache",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "config.ENV",
"l... |
508319190 | from timeit import timeit
import numpy as np
from matplotlib import pyplot as plt
nlst = []
t0lst = []
t1lst = []
t2lst = []
t3lst = []
for n in range(10, 210, 10):
repeat = 10000
a = np.random.randint(-2**32,2**32-1, size=n, dtype=np.int64)
b = a + 2
t0 = timeit('inner(a, outer(a, b)[1])', number=rep... | null | benchmarks/fastbench.py | fastbench.py | py | 1,257 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.randint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.int64",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "timeit.timeit... |
393701535 | import tensorflow as tf
import numpy as np
from sklearn.metrics import accuracy_score, precision_score, recall_score
from load_data import LoadData_slice
from keras.utils import np_utils
# =============================================================================
# from keras.models import Sequential
# from keras.l... | null | Code/CNN.py | CNN.py | py | 3,161 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.Input",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.layers.Conv1D",
"line_number": 29,
"usage_type": "call"
},
{
"api_n... |
290008543 | # coding=utf-8
from __future__ import absolute_import
from mongoengine import *
from .mongoengine import QuantumField
import os
from trex.support import pcrypt
from trex.support.mongoengine import LowerCaseEmailField, serve_file
from flask import g, url_for, abort
import re
import hashlib
from . import token, quantum
... | null | support/model.py | model.py | py | 30,189 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.abort",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "mongoengine.QuantumField",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
473556829 | import pygame
import random
import math
pygame.init()
# creating a game window
# it takes tuple as argument width first height second
screen = pygame.display.set_mode((800, 600))
# Adding Title and Icon
title = "Pumpkin Shooter"
icon = pygame.image.load('data/logo.png')
pygame.display.set_caption(title)... | null | PumpkinShooter.py | PumpkinShooter.py | py | 5,474 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 5,
"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... |
521390359 | from keras.layers import Input, Dense, Dropout, Flatten, merge, Reshape, Activation, Permute
from keras.layers.convolutional import Convolution1D, Convolution2D
from keras.layers.pooling import GlobalMaxPooling1D, MaxPooling1D
from keras.layers.recurrent import LSTM, GRU
from keras.models import Model, Sequential
from ... | null | model/hierarchical2.py | hierarchical2.py | py | 3,120 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.layers.Input",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.layers.embeddings.Embedding",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.layers.embeddings.Embedding",
"line_number": 13,
"usage_type": "call"
},
{... |
369035810 | import itertools
class Matrix(object):
'''Add your docstring here.'''
def __init__(self): # no modification is needed for this method, but you may modify it if you wish to
'''Create and initialize your class attributes.'''
self._matrix = []
self._rooms = 0
d... | null | Week 14/Project 11/proj12.py | proj12.py | py | 3,016 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 82,
"usage_type": "call"
}
] |
405813648 | from bs4 import BeautifulSoup
from urllib import request
def onlyAscii(s):
return str("".join(i for i in s if ord(i)>=32 and ord(i)<=127)).strip()
def onlyNumbers(s):
return str("".join(i for i in s if ((ord(i)>=48 and ord(i)<=57) or ord(i)==46))).strip()
class player:
def __init__(self,name,kills,... | null | skw10mans.py | skw10mans.py | py | 5,736 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 44,
"usage_type": "call"
}
] |
401051495 | from keras.applications.vgg16 import VGG16
from keras.layers import Flatten, Dense, AveragePooling2D, Dropout, MaxPooling2D, BatchNormalization
from keras.models import Model
from keras import backend as K
from keras.optimizers import RMSprop, SGD
from keras.callbacks import ModelCheckpoint
from keras.preprocessing.ima... | null | train_vgg.py | train_vgg.py | py | 4,361 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.applications.vgg16.VGG16",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.models.Model",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "keras.callbacks.ModelCheckpoint",
"line_number": 70,
"usage_type": "call"
},
{
... |
414778512 | from multiprocessing import Queue
from queue import PriorityQueue
from numpy import linalg as LA
from scipy import stats
import numpy as np
import pandas as pd
import argparse
import time
import sys
import os
from tqdm import tqdm
from functools import partial
import warnings
top_k_words = []
threshold = 0.001
total =... | null | code/evaluation/visualization/visualize_online.py | visualize_online.py | py | 1,759 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 36,
"usage_type": "call"
}
] |
520282577 | from pathlib import PurePath
from typing import Dict, List
from lab import util
from lab.logger import internal
from .indicators import Indicator, Scalar
from .writers import Writer
class Store:
indicators: Dict[str, Indicator]
def __init__(self, logger: 'internal.LoggerInternal'):
self.values = {}
... | null | lab/logger/store.py | store.py | py | 2,555 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Dict",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "indicators.Indicator",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.PurePath",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "lab.util.yaml_dump"... |
649615288 | import os
import glob
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--video_dir', type=str,
help='path to clip video dir',
required=True)
parser.add_argument('--output_dir', type=str,
help='where to store extracted frames',
... | null | OurData/tools/extract_frame.py | extract_frame.py | py | 822 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
487680120 | import sys
from PyQt5.QtWidgets import QApplication, QWidget
from secondForm import Ui_Form
class MyForm(QWidget, Ui_Form):
def __init__(self, parent=None):
super(MyForm, self).__init__(parent)
self.setupUi(self)
if __name__ == '__main__':
app = QApplication(sys.argv)
f = MyForm()
f.... | null | day02/callSecondForm.py | callSecondForm.py | py | 353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "secondForm.Ui_Form",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QApplication",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
377604391 | from rest_framework import serializers
from .models import Category
class CategoryListSerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = [
# Don't want to show some of these fields.'
'category_id',
'category_name',
'sub_ca... | null | service/categories/serializers.py | serializers.py | py | 395 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "models.Category",
"line_number": 7,
"usage_type": "name"
}
] |
67232978 | import numpy as np
from scipy import sparse as sp
from sklearn.utils.fixes import comb
from scipy.special import comb as n_comb
import itertools
def rand_score(labels_true, labels_pred):
labels_true = np.array(labels_true)
labels_pred = np.array(labels_pred)
n_samples = labels_true.shape[0]
n_classes =... | null | rand_index.py | rand_index.py | py | 2,585 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": ... |
576501999 | import numpy as np
import cv2
import imutils
background = cv2.imread("background.jpg")
frame = cv2.imread("lastcap.jpg")
cv2.imshow("input",frame)
cv2.waitKey(0)
cv2.imshow("input",background)
cv2.waitKey(0)
reducer = np.ones(background.shape, background.dtype)
reducer = reducer *50
lessbg = cv2.subtract(background,... | null | betterpoly.py | betterpoly.py | py | 2,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 9,
... |
622296094 | import pymysql
class output_id_data(object):
"""
同步操作
"""
def search_id(name_data):
db = pymysql.connect(
host='127.0.0.1', port=3306, user='root', password='password', db='xiaoshuo', charset='utf8')
cur = db.cursor()
sql_id = '''select id from books where name='{}' ... | null | guaiben_redis/guaiben_redis/spiders/get_number.py | get_number.py | py | 1,318 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 8,
"usage_type": "call"
}
] |
542538309 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.Create... | null | apps/universidad/migrations/0001_initial.py | 0001_initial.py | py | 5,672 | python | en | code | null | code-starcoder2 | 76 | [
{
"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.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
210223764 | """Define tests for the Camera objects."""
from __future__ import annotations
from typing import cast
import aiohttp
import pytest
from aresponses import ResponsesMockServer
from simplipy import API
from simplipy.device.camera import CameraTypes
from simplipy.system.v3 import SystemV3
from .common import (
TEST... | null | tests/test_camera.py | test_camera.py | py | 3,448 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aresponses.ResponsesMockServer",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "aresponses.ResponsesMockServer",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 34,
"usage_type": "call"
},
{
... |
169148516 | from typing import List, Dict, Tuple, Any, Optional
from collections import Counter
from operator import itemgetter
import json
import os
from wasabi import Printer
import wasabi
from copy import deepcopy
from sciwing.vocab.embedding_loader import EmbeddingLoader
from sciwing.vocab.char_emb_loader import CharEmbLoader
... | null | sciwing/vocab/vocab.py | vocab.py | py | 17,184 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_num... |
329826057 | import urllib.request as ur
import xml.etree.ElementTree as ET
url = 'http://py4e-data.dr-chuck.net/comments_31276.xml'
data = ur.urlopen(url).read()
tree = ET.fromstring(data)
counts = tree.findall('comments/comment/count')
total = 0
for count in counts:
total += int(count.text)
print ('total: ', total) | null | access_web_data/sum_from_xml.py | sum_from_xml.py | py | 308 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "x... |
10070821 |
import requests
import json
from datetime import datetime, timedelta
class JQuantsAPI:
def __init__(self, mailaddress, password):
self.mailaddress = mailaddress
self.password = password
self.base_uri = "https://api.jquants.com"
self.headers = {
"Content-Type": "applicat... | null | jquants.py | jquants.py | py | 5,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.today",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.today",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "dat... |
380520281 | import os, errno
from flask import Flask, make_response
from flask import request
from flask_cors import CORS
from werkzeug.utils import secure_filename
import classify
UPLOAD_FOLDER = '/uploads'
app = Flask(__name__)
CORS(app)
@app.route('/upload', methods=['GET', 'POST'])
def upload_file():
if request.method =... | null | back-end/app.py | app.py | py | 820 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",... |
59980229 | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | null | oneflow/python/test/ops/test_image_normalize.py | test_image_normalize.py | py | 3,053 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "oneflow.clear_default_session",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "oneflow.FunctionConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "oneflow.float",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name"... |
284936484 | # Objective: Use the BeautifulSoup and requests Python packages read a table and write it to file
import requests, pandas as pd
from bs4 import BeautifulSoup as soup
url = 'https://www.worldometers.info/world-population/population-by-country/'
r = requests.get(url)
r_html = r.text
parsed_data = soup(r_html,... | null | scripts/fundamentals/webscrp_bs_and_requests_L2.py | webscrp_bs_and_requests_L2.py | py | 1,608 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
338893208 | from itertools import chain, cycle, count
import asyncio
from functools import wraps
take = lambda n, iter: (iter.next() for _ in range(n))
class take_only_while(object):
def __init__(self,pred, iterator):
self._pred = pred
self._iter = iterator
self._rest = iter([])
def __iter__(self):
return s... | null | sjautils/iterext.py | iterext.py | py | 1,635 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.chain",
"line_number": 22,
"usage_type": "call"
}
] |
243680380 | from rest_framework.schemas import get_schema_view
from django.conf.urls import url, include
from rest_framework.documentation import include_docs_urls
from rest_framework.routers import DefaultRouter
from api import views
from rest_framework.authtoken import views as rest_framework_views
router = DefaultRouter... | null | api/urls.py | urls.py | py | 1,404 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "api.views.CustomerViewSet",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "api.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_na... |
421020055 | """
This file is a part of the Kithare programming language source code.
The source code for Kithare programming language is distributed under the MIT
license.
Copyright (C) 2021 Kithare Organization
build.py
Builder script to build Kithare.
On Windows and MinGW:
You must have MinGW (AKA MinGW-w64) installed, and... | null | build.py | build.py | py | 14,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "platform.system",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
367355817 | from modules.SimpleAero import Aero
from modules.SimpleAtmo import Atmo
from modules.Simplegravity import Gravity
from Core_src.Objects import Vehicle
from Core_src.Phase import Phase, run_once
from Core_src.Buffer import Buffer
from Core_src.State import State
import random
import sys
import time
from Core_src import ... | null | simulator_lander/Core_src/Core.py | Core.py | py | 4,142 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Core_src.State.State",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "modules.SimpleAero.Aero",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "modules.Simplegravity.Gravity",
"line_number": 31,
"usage_type": "call"
},
{
"api_na... |
182360909 | from database import db, app, Admin, Reservation, Picnic, Camping, Resto
from flask import request, jsonify, render_template
import jwt
import datetime
import time
from hashlib import sha256
from functools import wraps
def token_required(f):
@wraps(f)
def decorated(*args, **kwargs):
token = None
... | null | flask_app.py | flask_app.py | py | 11,844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.request.headers",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.headers",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "f... |
556776185 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from urllib import request
import json
from sql.extend_json_encoder import ExtendJSONEncoder
class WechatSender(object):
# 获取access_token
def GetToken(self, CorpID,Secret):
tokenurl = 'https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=%s&corpsecret=%... | null | sql/sendwechat.py | sendwechat.py | py | 1,554 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"li... |
132219083 | import sys
from power_supply import *
from connection import *
from time import sleep
from threading import Thread, Lock
from PyQt5 import uic, QtWidgets, QtCore
# Setting display U and I update period in msec
DISPLAY_UPDATE_PERIOD = 200
# Setting data from PSU update period in msec
DATA_UPDATE_PERIOD = 100
... | null | main.py | main.py | py | 4,613 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWin... |
445510674 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import requests
import datetime
import time
qq='接收信息的QQ'
port='12513'
domain='要监控的域名'
if __name__ == '__main__':
while (1==1):
requests.get('http://127.0.0.1:' + port + '/send_private_msg?user_id=' + qq + '&message=域名检测启动成功')
res = requests.ge... | null | domain.py | domain.py | py | 942 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
374041470 | import argparse
from amber.amber16.cpptraj.command import exec_cpptraj
from utilities.path import which
from tempfile import mkstemp
import numpy
from pdb import set_trace as tr
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="""Obtain MSD(t) averaged over different chunks of the trajectory... | null | simulation/silica/cristobalite/confineBSA/poretop/yesbonds/wholesystem/diffusion_t0average.py | diffusion_t0average.py | py | 2,748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utilities.path.which",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tempfile.mkst... |
534120847 | import wx
import os
from typing import TYPE_CHECKING
from amulet.api.level import Structure
from amulet.api.selection import SelectionGroup
from amulet.api.data_types import Dimension
from amulet.level.formats.schematic import SchematicFormatWrapper
from amulet_map_editor.programs.edit.api.operations import (
Sim... | null | amulet_map_editor/programs/edit/plugins/operations/stock_plugins/import_operations/schematic.py | schematic.py | py | 2,043 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "amulet_map_editor.programs.edit.api.operations.SimpleOperationPanel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "wx.Window",
"line_number": 23,
"usage_type": "at... |
145571854 | import numpy as np
import pandas as pd
import os
from tqdm import tqdm
from datetime import datetime as dt
from keras.wrappers.scikit_learn import KerasClassifier
from keras import optimizers
import keras.backend.tensorflow_backend as KTF
import tensorflow as tf
from keras.callbacks import EarlyStopping, TensorBoard... | null | .ipynb_checkpoints/train_util-checkpoint.py | train_util-checkpoint.py | py | 11,719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.callbacks.Callback",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "numpy.less",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "numpy.Inf",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "numpy.greater... |
417702519 | import torch
import torch.nn as nn
from Layers import EncoderLayer, DecoderLayer
from Embed import Embedder, PositionalEncoder
from Sublayers import Norm
from gensim.models import KeyedVectors
import torch.nn.functional as F
from torch import Tensor
from typing import Tuple
import copy, time, math
from Seq2seq_rnn imp... | null | Models.py | Models.py | py | 18,088 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.ModuleList",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.ModuleList",
... |
574910248 | import sys
import attr
import click
import serial.serialutil
import sunspec.core.client
import sunspecdemo.utils
model_path_option = click.option(
'--model-path',
type=click.Path(file_okay=False),
default='models',
help='Path to the directory containing custom smdx_*.xml files',
)
timeout_option =... | null | src/sunspecdemo/clishared.py | clishared.py | py | 4,633 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "click.option",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "click.option",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.platform.startswith",
"l... |
255676841 | # python3
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import cv_inv_const
def show_wa_state_highway(image):
plt.imshow(image)
plt.show()
def show_rgb_channels(image):
# RGB channels
r = image[:,:,0]
g = image[:,:,1]
b = image[:,:,2]
# Visualize the individual color ch... | null | src/rgb_channels.py | rgb_channels.py | py | 715 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplo... |
103117823 | import sys
from objects import *
from control import Control
from heuristic_v1 import Heuristic_v1
from heuristic_v2 import Heuristic_v2
from dqn import Dqn_player
def next_player(game):
if game.turn == game.player1:
return game.player2
return game.player1
def name_from_card(card):
name = ''
i... | null | other attempts/q_learning/q_unogame.py | q_unogame.py | py | 2,730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "control.Control",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "heuristic_v2.Heuristic_v2",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
595213750 | # Marty Osterhoudt Advanced Bioinformatics
# Python script that calls Biopython objects
import sys
import xml.etree.ElementTree as ET
import numpy
#import zlib
from Bio import Entrez
from Bio import Seq
from Bio import SeqRecord
from Bio import SeqIO
#from reportlab.lib import colors
#from reportlab.lib.units import ... | null | original_base/NCBI-biopython-tryefetch_combos.py | NCBI-biopython-tryefetch_combos.py | py | 3,501 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Bio.Entrez.email",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "Bio.Entrez",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "Bio.Entrez.efetch",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "Bio.Entrez",
"... |
471761321 |
from os import listdir
from os.path import join
from setuptools import setup, find_packages
try: # for pip >= 10
from pip._internal.req import parse_requirements
except ImportError: # for pip <= 9.0.3
from pip.req import parse_requirements
PACKAGE_NAME = "mymodule"
DESCRIPTION = "My module description"
KEYW... | null | setup.py | setup.py | py | 1,543 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pip.req.parse_requirements",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 34,
"usage_type": "call"
}
] |
80119071 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
import mptt.fields
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('lives', '0001_initial'),
migrations.swappable_de... | null | apps/people/migrations/0001_initial.py | 0001_initial.py | py | 2,381 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 14,
"usage_type": "ca... |
642116492 | import warnings; warnings.simplefilter('ignore')
import numpy as np
import copy
from triqs_tprf.wannier90 import *
from pytriqs.lattice.tight_binding import energies_on_bz_path
from matplotlib import cm
from triqs_tprf.tight_binding import *
from matplotlib import pylab as plt
import skimage.measure
import ipywidgets a... | null | data/visualization_function.py | visualization_function.py | py | 6,126 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.simplefilter",
"line_number": 1,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams.update",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name... |
600037115 | from common.logging import child_logger
log = child_logger(__name__)
import os
import ROOT
def load_makros(bkgModel, ptCut, etaMin, etaCut, year, massMin, massMax, massBin, npvMin, npvMax):
log.info("Loading C marcos...")
# load functions for fitting
ROOT.gROOT.LoadMacro(os.path.dirname(os.path.realpath... | null | ZHarvester/roofit/utils.py | utils.py | py | 1,050 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.logging.child_logger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "ROOT.gROOT.LoadMacro",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ROOT.gROOT",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.pa... |
639673021 | import json
import torch
import argparse
import os
from utils.SpeakerDatasetCopy import SpeakerDataset
from utils.Vocab import Vocab
import numpy as np
from nlgeval import NLGEval
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("-data_path", type=str, default="./data")
... | null | models/speaker/compare_ref_hyp_base_TEST.py | compare_ref_hyp_base_TEST.py | py | 6,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
640762481 | """Chat_apis tests"""
import os
from django.test import TestCase
from chat_apis import models
from django.core.management import call_command
from django.test import Client
from django.urls import reverse
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
class CommandTestCase(TestCase):
"... | null | ariana_chat/chat_apis/tests.py | tests.py | py | 1,499 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
... |
519770616 | import unittest
from google.appengine.api import memcache
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from .. import user_data
test_user = user_data.User(user_name="John",
user_email="test@test.com",
business_name="Test Business"... | null | webapp/controllers/InternalResource/DataResource/test_adduser/test_adduser.py | test_adduser.py | py | 1,352 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.testbed.Testbed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.testbed",
"line_number": 23,
"usage_type": "name"
},
... |
648411647 | from django.urls import path
from survey import views
app_name = 'survey'
urlpatterns = [
path('', views.intro, name='intro'),
path('response/<int:restaurant_pk>/', views.response, name='response'), # {% url 'survey:survey' restaurant_pk=restaurant.pk %}
path('login/', views.login, name='login'),
path... | null | survey/urls.py | urls.py | py | 420 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "survey.views.intro",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "survey.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",... |
893489 | import json
def get_counts(sequence):
counts = {}
for x in sequence:
if x in counts:
counts[x] += 1
else:
counts[x] = 1
return counts
path = "usagov_bitly_data2012-03-16.txt"
f = open(path, encoding='UTF8')
record = [json.loads(line) for line i... | null | 08_python_supplement/json_usa.py | json_usa.py | py | 963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 36,
"usage_type": "call"
}
] |
95534076 | from ws_connection import ClientClosedError
from ws_server import WebSocketServer, WebSocketClient
import json
from iotreatment import iotreatment
class MSGClients(WebSocketClient):
def __init__(self, conn):
super().__init__(conn)
def process(self):
try:
data = self.connection.rea... | null | run_ws_server.py | run_ws_server.py | py | 1,117 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ws_server.WebSocketClient",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "iotreatment.iotreatment",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dump... |
361366875 | import matplotlib.pyplot as plt
import numpy as np
from sklearn import metrics
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from datetime import datetime
from tensorflow.keras import backend as K
class Evaluator:
def __init__(self):
pass
'''
Traini... | null | model_evaluator.py | model_evaluator.py | py | 8,309 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.backend.sum",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.backend",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.backend.round",
"line_number": 24,
"usage_type": "call"
},
{
... |
305615502 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2020-2023 tecnovert
# Distributed under the MIT software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
"""
export TEST_PATH=/tmp/test_basicswap
mkdir -p ${TEST_PATH}/bin
cp -r ~/tmp/basicswap_bin/* ${T... | null | tests/basicswap/extended/test_encrypted_xmr_reload.py | test_encrypted_xmr_reload.py | py | 4,870 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.stdout... |
341640387 | # -*- coding: UTF-8 -*-
import os
import os.path
import xlrd
import xlwt
# Excel操作类
class ExcelHandle:
def __init__(self,path):
self.path=path
#输出到Excel
def write2Excel(targetPath,sheetName,data):
if len(targetPath) <=0 :
print("error. targetPath is empty ")
return
else:
print("targetPath %s"%(... | null | ExcelHandle.py | ExcelHandle.py | py | 1,371 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlwt.Workbook",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 50,
"usage_type": "call"
}
] |
194017701 | '''
52. ステミング
51の出力を入力として受け取り，Porterのステミングアルゴリズムを適用し，単語と語幹をタブ区切り形式で出力せよ． \
Pythonでは，Porterのステミングアルゴリズムの実装としてstemmingモジュールを利用するとよい．
'''
from stemming.porter2 import stem
def stemming(input_, output_):
with open(input_) as f, open(output_, "w") as fw:
for word in f:
word = word.rstrip()
... | null | Naoto/chapter06/knock52.py | knock52.py | py | 662 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stemming.porter2.stem",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "stemming.porter2",
"line_number": 20,
"usage_type": "call"
}
] |
146210572 | import datetime
import random
import string
from datetime import date
import stripe
from django import template
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts ... | null | payments/views.py | views.py | py | 8,573 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stripe.api_key",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.STRIPE_SECRET_KEY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 19,
"usage_type": "name"
},
{
... |
456502516 |
from flask import Flask,render_template
#from fireinit import firebase,db,dataget
import humidity
app = Flask(__name__)
@app.route('/')
def index():
data = humidity.getTemp()
return render_template('index.html', data=data)
@app.route('/supplylist')
def supplylist():
# userlist = dataget()
return render_templat... | null | app.py | app.py | py | 419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "humidity.getTemp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_templat... |
189648142 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from fmix_orig import sample_mask
device = "cuda" if torch.cuda.is_available() else "cpu"
# https://www.kaggle.com/virajbagal/mixup-cutmix-fmix-visualisations/data
# https://www.kaggle.com/ar2017/pytorch-efficientnet-train-aug-cut... | null | code/mix_aug.py | mix_aug.py | py | 6,166 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"lin... |
530828295 | # -*- coding: utf-8 -*-
#
# Copyright (c) 2013-2021 Virtual Cable S.L.U.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright not... | null | server/src/uds/core/util/stats/events.py | events.py | py | 6,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "typing.Uni... |
262075362 | #!/usr/bin/python
import logging
import os
from gevent.pywsgi import WSGIServer
from geventwebsocket.handler import WebSocketHandler
import flaskapp.views
import daemon
import sys
class app_config(daemon.Config):
section = 'listener'
default_conf = os.path.join('flaskapp.cfg')
def run(self):
try:
host = self... | null | run.py | run.py | py | 1,048 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "daemon.Config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flaskapp.views.views",
... |
139049829 | from collections import defaultdict
SHIFT, LEFT, RIGHT = 0, 1, 2
class DependencyParsing:
def __init__(self):
w = [defaultdict(lambda: 0) for _ in range(3)]
def MakeFeats(self, stack, queue):
feats = defaultdict(lambda: 0)
if len(stack) > 0 and len(len) > 0:
feats[f'W-1 {... | null | kobayashi/tutorial11/tutorial11.py | tutorial11.py | py | 4,779 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
278765388 | import re
import warnings
from django.utils import timezone
from django.contrib.auth.models import (
AbstractBaseUser,
python_2_unicode_compatible,
GroupManager,
UserManager,
_user_get_all_permissions,
_user_has_perm,
_user_has_module_perms,
send_mail,
urlquote,
SiteProfileNotAv... | null | djangae/contrib/auth/models.py | models.py | py | 9,584 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.signals.post_syncdb.disconnect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.db.models.signals.post_syncdb",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.db.models.signals",
"line_number": 32,
"... |
61788386 | from happenings.settings import (IMAGE_MODEL_IMAGE_FIELD, IMAGE_MODEL_WIDTH_FIELD,
IMAGE_MODEL_HEIGHT_FIELD, IMAGE_MODEL_RESIZER)
def resize_image(image, width, height):
from importlib import import_module
if callable(IMAGE_MODEL_RESIZER):
resize_method = IMAGE_MODEL_RESIZER
elif isinstance(I... | null | happenings/api/utils.py | utils.py | py | 2,067 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "happenings.settings.IMAGE_MODEL_RESIZER",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "happenings.settings.IMAGE_MODEL_RESIZER",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "happenings.settings.IMAGE_MODEL_RESIZER",
"line_number": 10... |
535245018 | #! /usr/bin/python
# -*- coding: latin-1 -*-
from astropy.time import Time
from astropy.coordinates import Angle
import astropy.units as u
import numpy as np
from numpy import cos, sin, arccos, arcsin, arctan
import location
from astropy.utils.iers import IERS_A, IERS_A_URL
from astropy.utils.data import download_fil... | null | coordinates.py | coordinates.py | py | 3,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "astropy.utils.data.download_file",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "astropy.utils.iers.IERS_A_URL",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "astropy.utils.iers.IERS_A.open",
"line_number": 16,
"usage_type": "cal... |
308759304 | # Copyright 2020 Mickael Chen, Edouard Delasalles, Jean-Yves Franceschi, Patrick Gallinari, Sylvain Lamprier
# 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/licens... | null | module/utils.py | utils.py | py | 4,833 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.ReLU",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "torch.nn.LeakyReLU",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
640638367 | from flask import Flask, render_template, request, redirect, url_for
import mongo_api as mongo
from viewModels.indexViewModel import IndexViewModel
from dotenv import find_dotenv, load_dotenv
import os
import flask_login
import requests
import json
from user import User
from functools import wraps
GITHUB_AUTHORIZATION... | null | app.py | app.py | py | 3,339 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_login.LoginManager",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "user.User",
"li... |
446591265 | import json
import sys
from wordcloud import WordCloud
from gettags import get_user_info
def makeImage(text):
wc = WordCloud(max_words=1000, width=1920, height=1080)
# wc = WordCloud(max_words=1000, width=3840, height=2160)
# wc = WordCloud(background_color="white", max_words=1000, mask=alice_mask)
... | null | main.py | main.py | py | 707 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wordcloud.WordCloud",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "gettags.get_user_info... |
633226422 | import os
import time
import uuid
from flask import (
g,
flash,
abort,
jsonify,
request,
url_for,
session,
redirect,
Blueprint,
render_template,
send_from_directory,
)
from models.collection import Collection
from models.reply import Reply
from models.topic import Topic
fro... | null | routes/user.py | user.py | py | 5,200 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask.request.form.to_dict",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "flas... |
341340434 | """Process the raw EMO-DB dataset.
This assumes the file structure from the original compressed file:
/.../
wav_corpus/
*.wav
silb/
...
...
"""
import shutil
from pathlib import Path
import click
from tqdm import tqdm
from ertk.dataset import write_annotations, write_filelist
from ertk.u... | null | datasets/EMO-DB/process.py | process.py | py | 1,421 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "ertk.dataset.write_annotations",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "ertk.dataset.write_annotations",
"line_number": 39,
"usage_type": "call"
},
{
"api_na... |
18413050 | #!/usr/bin/env python
import sys
import json
import argparse
import logging
import yaml
from pprint import pprint
from bitshares import BitShares
from bitshares.asset import Asset
from bitshares.account import Account
log = logging.getLogger(__name__)
def main():
parser = argparse.ArgumentParser(description=... | null | get_feeds.py | get_feeds.py | py | 1,355 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
474203809 | from threading import RLock
import logging
class MqttTopicSubscriber:
''' Manages callbacks for a particular machine motion and propagates them up to the client '''
def __init__(self, machineMotion: 'MachineMotion'):
self.__lock = RLock()
self.__queue = []
self.__callbacks = {... | null | mm-machineapp-template/server/internal/mqtt_topic_subscriber.py | mqtt_topic_subscriber.py | py | 2,819 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.RLock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
}
] |
539257999 | #!/usr/bin/env python
# coding: utf-8
# # MMI Model with Mood
# ## Authors: Per B. Sederberg & Adam W. Fenton & Charles Zheng
# In[1]:
# load matplotlib inline mode
#get_ipython().run_line_magic('matplotlib', 'inline')
import click
@click.command()
@click.argument('subj_input_dir')
@click.argument('subj_out_dir')
... | null | notebook/MMI_Open_Loop/MMI_Model_Mood_LTA_gamma_WO_beta_p0_OL.py | MMI_Model_Mood_LTA_gamma_WO_beta_p0_OL.py | py | 10,119 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "mmi_mood_LTA_gamma_WO_beta_p0_OL.load_mmi_data",
"line_number": 57,
"usage_type": "call"
},
{
"api_name... |
439366081 | from flask_restful import reqparse, abort
from flask_restful_swagger_2 import swagger, Resource
from resources import aggregationResource
import configuration
from flask import request
from lib import mongodbConnection, crawler
from bson.objectid import ObjectId
from bson import json_util
from datetime import datetime
... | null | src/resources/crawlerResource.py | crawlerResource.py | py | 7,216 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cerberus.Validator",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cerberus.Validator",
... |
255035329 | import argparse
import configparser
# global var
gparams = None
class Params(object):
def __init__(self):
global gparams
self.read_arguments()
self.read_config()
gparams = self
pass
def read_arguments(self):
parser = argparse.ArgumentParser(
descri... | null | python/lib-4xatwork/calix/timeseries/params.py | params.py | py | 11,462 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 30,
"usage_type": "call"
}
] |
511895217 | #!/usr/bin/python3
import os
import glob
import argparse
import numpy as np
import tensorflow as tf
from osgeo import gdal
from tensorflow.python.keras.callbacks import TensorBoard, ModelCheckpoint, \
EarlyStopping
from data_preparation import parse_label_code
from cnn_lib import AugmentGenerator, categorical_d... | null | src/run-u-net.py | run-u-net.py | py | 17,584 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "osgeo.gdal.Open",
"line_numbe... |
251053801 | import cv2
import cv2.cv as cv
import numpy as np
# HSV ranges to detect bright orange
lowerB = [0,100,220]
upperB = [15,200,255]
## Code for testing ##
#hand = cv2.imread('hand3.jpg')
#small_hand = cv2.resize(hand, (640,480))
# hand is a cropped, color image
def findFingerXY(hand):
hsv_hand = cv2.cvtColor(... | null | hand.py | hand.py | py | 1,937 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",... |
550439569 |
import gym
from gym.spaces import Discrete
from reco_gym import Organic_Session
from numpy import zeros
from numpy.random import RandomState, randint
from numpy.linalg import matrix_power
from scipy.special import expit as sigmoid
# change name of function since it's confusing
import pandas as pd
# Arguments share... | null | reco_gym/envs/abstract.py | abstract.py | py | 6,848 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.special.expit",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.Ra... |
370505891 | #!/usr/bin/env python3
'''class Yolo'''
import tensorflow.keras as K
import numpy as np
import glob
import cv2
class Yolo():
'''class Yolo that uses the Yolo v3 algorithm
Attributes:
model: the Darknet Keras model
class_names: a list of the class names for the model
class_t: the box s... | null | supervised_learning/0x0A-object_detection/5-yolo.py | 5-yolo.py | py | 4,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 32,
"usage_type": "name"
},
{
"... |
196945356 | from rest_framework import serializers
from .models import Estado
from .models import Sesion
from app.contenido.models import Contenido
from app.competencia.models import Competencia
from app.resultado_aprendizaje.models import Resultado_aprendizaje
class EstadoSerializer(serializers.ModelSerializer):
class Meta:
... | null | app/sesion/serializers.py | serializers.py | py | 4,460 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Estado",
"line_number": 10,
"usage_type": "name"
},
{... |
638603213 | import json
from datetime import date
from datetime import datetime
from urllib.parse import parse_qs
from django.conf import settings
from django.contrib.gis.db import models
from django.core.cache import cache
from django.db.models import Q
from django.db.models.signals import pre_save, pre_delete, post_save, post_d... | null | apps/core/models.py | models.py | py | 23,625 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.gis.db.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.gis.db.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.contrib.gis.db.models.CharField",
"line_number": 23,
"usage_t... |
590267331 | #-*- coding: utf-8 -*-
from django import forms
from .models import MenuItem
from django.utils.translation import ugettext_lazy as _
class MenuItemForm(forms.ModelForm):
class Meta:
model = MenuItem
fields = ('name', 'href')
labels = {
'name': _(u'Nazwa'),
'href': ... | null | misc/forms.py | forms.py | py | 341 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.MenuItem",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.utils.t... |
361204039 | from django.conf.urls import url
from django.contrib.auth.views import LogoutView
from .views import (
UserCreateAPIView,
UserLoginAPIView,
UserExistAPIView
)
urlpatterns = [
url(r'^register/$', UserCreateAPIView.as_view(), name='register'),
url(r'^login/$', UserLoginAPIView.as_view(), name='login'... | null | Source/Serverside/django_react/djreact/user_account/urls.py | urls.py | py | 461 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.UserCreateAPIView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.UserCreateAPIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_... |
628335573 | #!/usr/bin/python3
from sympy import *
from sympy.parsing.sympy_parser import parse_expr
from wibl2NusseltSimplified import wibl2NusseltSimplified
def main():
x, y, z, t = symbols("x y z t")
h = Function("h")(x, z, t)
hbar = Function("hbar")(z)
htilde = Function("htilde")(x, z)
hhat = Function("hh... | null | lineariseRivuletWIBL2STF.py | lineariseRivuletWIBL2STF.py | py | 2,475 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.parsing.sympy_parser.parse_expr",
"line_number": 29,
"usage_type": "argument"
}
] |
464789099 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from .models import Post
from django.shortcuts import render, HttpResponse
# Create your views here.
def index(request):
return HttpResponse('up and running!')
def add_post(request):
item1 = Post.objects.create(author='Something Something', tit... | null | django/django_girls/apps/blog/views.py | views.py | py | 761 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.HttpResponse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Post.objects.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
... |
401191968 | import lib # keywords, braces, operators, types
# lexify: split a string into its lexemes and story them and their respective identities
def lexify(string):
tokens = []
types = []
lexeme = ""
for i, char in enumerate(string):
# special case: char is an operator (defined in lib)
... | null | MRLex.py | MRLex.py | py | 2,922 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.operators",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "lib.keywords",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "lib.types",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "lib.stop",
"l... |
296420433 | #!/usr/bin/python3
#coding: utf-8
from urllib import request, parse, error
import json
from utils.timeout import *
from exceptions import *
from agv import *
class Jz(Agv):
"""Summary class Jz class here.
This is a AGV class describing Jiazhi brand's AGV inherited from Agv class.
Most functions of Jz cla... | null | jz.py | jz.py | py | 12,015 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.Request",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "urllib.r... |
225131632 | # coding: utf-8
import pygame
from pygame.locals import *
import sys
from collections import deque
BLACK = (0, 0, 0)
GRAY = (198, 198, 198)
YELLOW = (214, 203, 2)
isGen = True
status = "bfs"
def maze_gen():
maze_base = [["." for x in range(126)] for y in range(70)]
for y in range(1, 70, 2):
for x in... | null | pygame_proc/maze_anime.py | maze_anime.py | py | 3,853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 107,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rec... |
477694101 | """
Copyright (c) Facebook, Inc. and its affiliates.
"""
import os
import sys
import math
import copy
import time
import logging
from collections.abc import Iterable
from prettytable import PrettyTable
import Pyro4
import numpy as np
if "/opt/ros/kinetic/lib/python2.7/dist-packages" in sys.path:
sys.path.remove("/... | null | droidlet/lowlevel/locobot/locobot_mover.py | locobot_mover.py | py | 15,508 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.path.remove",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "Pyro4.config",
"line_... |
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