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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73866156666 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 28 00:46:02 2020
@author: Dani Kiyasseh
"""
#%%
""" Functions in this script:
1) make_saving_directory_continual
2) make_dir
3) train_model
4) perform_MC_or_normal_training
"""
#%%
import os
import numpy as np
import copy
import to... | danikiyasseh/CLOPS | run_experiment.py | run_experiment.py | py | 36,629 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "prepare_acquisition_functions.perform_MC_sampling",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "prepare_acquisition_functions.perform_MC_sampling",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "prepare_acquisition_functions.perform_MC_samp... |
73796354429 | import numpy as np
from numpy import log, dot, e
from numpy.random import rand
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.datasets import make_blobs
from sklearn.model_selection import GridSearchCV
from sklearn.utils.multiclass import check_classification_targets
from sklearn.utils.validation ... | jorge-rivero/sklearn_estimator | classifier/LogisticRegression.py | LogisticRegression.py | py | 3,499 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.e",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.base.ClassifierMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy... |
34531674088 | #!/usr/bin/python3
"""ISS Tracking using python"""
# import(*always at top) request
import requests
import reverse_geocoder as rg
import datetime
# define URL
ISSLOCATION = 'http://api.open-notify.org/iss-now.json'
def main():
"""runtime code"""
# call api
currentpos = requests.get(ISSLOCATION)
#pri... | JustJohns/mycode | challenges/iss_tracker.py | iss_tracker.py | py | 1,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "r... |
35127764684 | from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import torch
class TfidfKnn:
def __init__(self, example_sentences):
self.cache(example_sentences)
def cache(self, example_sentences):
if example_sentences is None:
... | salesforce/DNNC-few-shot-intent | models/tfidf_knn.py | tfidf_knn.py | py | 998 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 25,
"usage_... |
15716493302 | """
一些通用的函数
"""
import os
import pypinyin
from cnradical import Radical, RunOption
import hashlib
import json
# 根据文件夹名，从当前文件路径中获取文件夹路径，当文件夹名为 APTS 时，返回的是该项目的根目录，默认值为 APTS
def get_folder_path(folder_name='APTS'):
# 获取当前文件的路径
current_file_path = os.path.abspath(__file__)
# 从文件路径中查找文件夹名的位置
folder_name_i... | liyugz/apts | base_utils/base_funcs.py | base_funcs.py | py | 3,088 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pypinyin.pinyin",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cnradical.Radical",
... |
36464326111 | from torchaudio.datasets import SPEECHCOMMANDS
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("--save_dir", required = True, help='path to save files')
args = parser.parse_args()
traindataset = SPEECHCOMMANDS(root = args.save_dir, download = True)
... | VirajBagal/Keyword-Spotting | code/download_dataset.py | download_dataset.py | py | 321 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torchaudio.datasets.SPEECHCOMMANDS",
"line_number": 9,
"usage_type": "call"
}
] |
28345298214 | import random
import time
import matplotlib.pyplot as plt
def linear_search(arr, x):
"""
Performs a linear search to find the index of x in arr.
Returns -1 if x is not found in arr.
"""
for i in range(len(arr)):
if arr[i] == x:
return i
return -1
# Generate li... | hemasri322/simple-html-code | python lab/linear.py | linear.py | py | 797 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line... |
30043796448 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.selector import Selector
from scrapy.http import Request,FormRequest
import requests
import json
import re
import uuid
import hashlib
import logging
import subprocess
from datetime import datetime,date
from autodata.items import AutodataItem, MetaItem
class AlfarooqSpi... | vartika102/Web-Scraping | spiders/alfarooq.py | alfarooq.py | py | 4,571 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scrapy.http.Request",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "autodata.items.MetaItem",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "autoda... |
3098913797 | #! /usr/bin/env python3
# coding=utf-8
import pytest
def Fibonacci(n):
if n<0:
print("No")
elif n==1:
return 1
elif n==0:
return 0
else:
return Fibonacci(n-1)+Fibonacci(n-2)
def factorial(m):
fac=1
for i in range(1,m+1):
fac=fac*i
return fac
class Tes... | songx2-xy/Fibonacci | Fibonacci.py | Fibonacci.py | py | 725 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.main",
"line_number": 31,
"usage_type": "call"
}
] |
35809892192 | import nltk
from newspaper import Article
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from runner.console_monochrome import Console
logger = Console()
nltk.download('vader_lexicon')
#from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
# using https://www.forbes.com/sites/katinastefan... | meko-deng/ECSE456 | manipulation/vader_sentiment.py | vader_sentiment.py | py | 3,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "runner.console_monochrome.Console",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.sentiment.vader.SentimentIntensityAnalyzer",
"line_number": 20,
"usage_type": "call"
... |
19922305657 | import requests
import re
# make a request to get a specific page
r = requests.get('https://www.basketball-reference.com/playoffs/')
# get the response text (the HTML)
webpage_HTML = r.text
# write a regex to parse the champions
champions_regex = r"<td class=\"left \" data-stat=\"champion\" ><a href=\".*?([\d]*?).h... | samuelfullerthomas/python-web-scraper | scraper.py | scraper.py | py | 903 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
}
] |
1820553170 | import time
import traceback
from datetime import timedelta, datetime
import random
import subprocess
import shutil
import os
import sys
import traceback
from minio import Minio
from minio.error import (ResponseError, BucketAlreadyOwnedByYou,
BucketAlreadyExists)
import urllib.request
import re... | jhodges10/goes-dashboard-pub | server/basic_image_tool.py | basic_image_tool.py | py | 5,728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
70926699388 | import numpy as np
import json
import os
import geopandas as gp
import rasterio
from matplotlib.colors import LightSource
from pyproj import Transformer, Proj
import utils as reutil
import tempfile
import urllib.request
import rasterio.windows
from rasterio.transform import Affine
#ll_proj = Proj('epsg:4326')
#dep_pro... | jetolan/warner_dixie_fire | src/usgs_dsm.py | usgs_dsm.py | py | 5,582 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rasterio.windows.Window",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "rasterio.windows",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "os.path"... |
12062260040 | import requests
from bs4 import BeautifulSoup
from pyecharts.charts import Bar
from pyecharts import options as opts
ALL_DATA =[]
def parse_page(url,num):
url = url
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.3... | hireach/hireach | day01/zhongguotianqi.py | zhongguotianqi.py | py | 2,165 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pyecharts.charts.Bar... |
41297486703 | """Тестирование моделей для работы с товарами."""
from datetime import date
from freezegun import freeze_time
import pytest
from dateutil.relativedelta import relativedelta
from wares.models import Category, Wares, Order
@pytest.mark.django_db
def test_create_models():
"""Тест создания записей."""
assert C... | moFrant/skypro_test | tests/models/test_wares.py | test_wares.py | py | 3,377 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wares.models.Category.objects.count",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wares.models.Category.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "wares.models.Category",
"line_number": 15,
"usage_type": "name"
... |
14025927759 | """
@author: Yuhao Cheng
@contact: yuhao.cheng[at]outlook.com
"""
import abc
import glob
import os
from collections import OrderedDict
from torch.utils.data import Dataset
from .readers import ImageLoader, VideoLoader
from ..datatools_registry import DATASET_REGISTRY
__all__ = ['AbstractVideoDataset', 'Fr... | YuhaoCheng/PyAnomaly | pyanomaly/datatools/abstract/video_dataset.py | video_dataset.py | py | 9,568 | python | en | code | 107 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 32,
"usage_type": "call"
},
{
"api_name... |
15785238873 | from django.urls import path, include, re_path
from . import views
from .models import Elective
from .views import (
ElectiveListView,
ElectiveDetailView,
CommentCreateView
)
# import csv
urlpatterns = [
path('', ElectiveListView.as_view(), name='electives-home'),
path('about/', views... | ankit8697/jindal-electives | electives/urls.py | urls.py | py | 623 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.ElectiveListView.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.ElectiveListView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name":... |
71971225469 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import base64
import json
import os
import subprocess
from containerregistry.client import docker_name
class BadManifestException(Exception):
"""Exception type raised when a malformed manifest is encounte... | kubeflow/fairing | containerregistry/client/v2/util_.py | util_.py | py | 3,900 | python | en | code | 336 | github-code | 6 | [
{
"api_name": "base64.urlsafe_b64decode",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line... |
19152583674 | """
Message of the Day (motd) to add a pinch of salt...
Motd help to cheer you up on a long day or even to get the started in the first place.
"""
from random import randint
# https://stackoverflow.com/questions/6028000/how-to-read-a-static-file-from-inside-a-python-package
try:
import importlib.resources as pkg... | fsteppich/fsteppich-datascience-utilities | fs_ds_util/motd.py | motd.py | py | 973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "importlib_resources.open_text",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
}
] |
39476534235 | import requests
import json
from lxml import etree
class Wyjy():
def __init__(self):
self.url='http://www.51jiuyi.cn/ask/list_21_0_1_1.html'
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.84 Safari/537.36"}
... | zhang8929/zhangyuguang | zhangbingshen/erbihou.py | erbihou.py | py | 2,428 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_numb... |
25070688585 | """
purplship server graph module urls
"""
import pydoc
import typing
from django.conf import settings
from django.urls import path
from django.views.decorators.csrf import csrf_exempt
from graphene_django.views import GraphQLView as BaseGraphQLView
from rest_framework import exceptions
ACCESS_METHOD = getattr(
se... | danh91/purplship | server/modules/graph/purplship/server/graph/urls.py | urls.py | py | 1,491 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "typing.Any",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pydoc.locate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "graphene_django... |
12109867770 | import os
import numpy as np
import pandas as pd
from pandas import DataFrame
import xlsxwriter
import matplotlib.pyplot as plt
import seaborn as sns
import scipy
from scipy.stats import fisher_exact
from sklearn.feature_selection import mutual_info_regression
import warnings
warnings.filterwarnings("ignore")
path... | Eugene-Ovcharenko/CABG_register_analysis | data_stat.py | data_stat.py | py | 5,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame... |
23044171592 | from django.contrib.auth import get_user_model
from django.db import models
from core.models import DateAbstractModel
User = get_user_model()
class Post(DateAbstractModel):
text = models.TextField(
'Текст поста',
help_text='Введите текст поста'
)
author = models.ForeignKey(
User,... | rshafikov/hw05_final | yatube/posts/models.py | models.py | py | 2,620 | python | ru | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "core.models.DateAbstractModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 10,
"usage_type": "call"
},
... |
30815175471 | from typing import Tuple
def powerset(s):
x = len(s)
masks = [1 << i for i in range(x)]
for i in range(1 << x):
yield frozenset({ss for mask, ss in zip(masks, s) if i & mask})
def divide(b: float, a: float) -> Tuple[float, float]:
"""
Returns the quotient and positive remainder as a tupl... | Wroppy/werry_math | mathmatics/abstract/algebra/method.py | method.py | py | 2,251 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Tuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 54,
"usage_type": "name"
}
] |
40543737940 | import sys
from typing import Generator, Optional, List
from dataclasses import dataclass
from lark import Lark, Transformer, v_args
from lark.ast_utils import Ast as LarkAST, WithMeta, create_transformer
from lark.tree import Meta
class AST(LarkAST):
pass
@dataclass
class Name(AST):
name: str
@dataclass... | vityaman-edu/ai-prolog | src/parse.py | parse.py | py | 1,941 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lark.ast_utils.Ast",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Gener... |
3971506694 | from setuptools import setup
APP = ['main.py']
DATA_FILES = ['images', 'images']
OPTIONS = {
'argv_emulation': True
}
setup(
app=APP,
data_files=DATA_FILES,
options={'py2app': OPTIONS},
setup_requires=['py2app']
)
from setuptools import setup
import os
APP = ['manage.py']
DATA_DIRS = ['reverseR... | TahirAlauddin/KonnectedReverseRaffle | setup.py | setup.py | py | 973 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,... |
37377301276 | import os
import json
from sbfl.base import SBFL
import numpy as np
from settings import TESTCASES_RESULT_PATH, THRESHOLD_LINE_NUM, MAX_OUTPUT_LINE, RESULT_FILE
def start_fl(result_vector, coverage_matrix, file_line_map):
if result_vector.count(True) == 0: # 全部测试点WA
message = "所有测试点均WA，无法定位错误位置"
... | Fewing/compilify-sbfl | fault_location.py | fault_location.py | py | 3,613 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "settings.TESTCASES_RESULT_PATH",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "settings.RESULT_FILE",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name... |
19679465860 | # -*- coding: utf-8 -*-
# **************************************************************************
# *
# * Authors: Scipion Team
# *
# * National Center of Biotechnology, CSIC, Spain
# *
# * This program is free software; you can redistribute it and/or modify
# * it under the terms of the GNU General Public Licen... | scipion-em/scipion-em-pyseg | pyseg/protocols/protocol_pre_seg.py | protocol_pre_seg.py | py | 14,793 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "tomo.objects.SetOfSubTomograms",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "tomo.objects.SetOfTomoMasks",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "... |
32822168326 | import sys
sys.path.append("../wikisearch")
import unittest
import wikisearch
from wikisearch.searcher.searcher_util import *
from wikisearch.searcher.filter import *
from wikisearch.searcher.score import *
from wikisearch.searcher.search import searcher
import logging
logging.basicConfig(level=logging.INFO)
import t... | QimingZheng/WSM-Project-WikiSearch | testings/test_searcher.py | test_searcher.py | py | 9,305 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"l... |
25237823622 | import os
import math
import random
import logging
import argparse
import numpy as np
from tokenizers import Tokenizer
import tokenizers
from tokenizers.trainers import BpeTrainer
from tokenizers.pre_tokenizers import Whitespace, ByteLevel
from tokenizers.models import BPE
from tokenizers.decoders import ByteLevel as ... | berlino/btg-seq2seq | neural_btg/commands/train_utils.py | train_utils.py | py | 13,624 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "neural_btg.utils.setup_logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tokenizers.Tokenizer",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "tokenizers.models.BPE",
"line_number": 87,
"usage_type": "call"
},
{
"api_name... |
22846400166 | import pandas as pd
import numpy as np
from scipy import stats
from statsmodels.stats.diagnostic import lilliefors
data = pd.read_excel("project1.xlsx" )
data = pd.DataFrame(data)
#models
x = data.loc[data["Модель"]==1]["Дальность"].tolist()
y = data.loc[data["Модель"]==2]["Дальность"].tolist()
z = data.loc[data["Мо... | semtim/DS2021 | проект 1 (самолеты)/flightsP.py | flightsP.py | py | 1,368 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.stats.kruskal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
... |
650354747 | #! /bin/python
# IMPORTANT do threadctl import first (before numpy imports)
from threadpoolctl import threadpool_limits
import os
import sys
import json
import numpy as np
import luigi
import nifty.tools as nt
from scipy.ndimage.morphology import distance_transform_edt
import cluster_tools.utils.volume_utils as vu
... | constantinpape/cluster_tools | cluster_tools/morphology/region_centers.py | region_centers.py | py | 5,902 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "luigi.Task",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "luigi.Parameter",
"l... |
30594027920 | from django.urls import path
from .views import index, mostratabela, contato, adicionar, excluir, editar, resumo
urlpatterns = [
path('', index, name='index'),
path('mostratabela/<str:tabela>', mostratabela, name='mostratabela'),
path('contato/', contato, name='contato'),
path('adicionar/', adicionar, ... | ErickFernan/Mercadinho-Web-CRUD | core/urls.py | urls.py | py | 475 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.index",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.mostratabela",
... |
37952011714 |
# Import the necessary modules
import os
import csv
import openpyxl
SCRIPT_LOC = os.path.abspath(__file__) # Construct a path to get location of the current script(csvToExcelConverter.py)
SCRIPT_DIR = os.path.dirname(SCRIPT_LOC) # Get the directory where the script(csvToExcelConverter.py) is located
ROOT_DIR = ... | 8anime/Csv2Excel-Converter | dataConverter/csvToExcelConverter.py | csvToExcelConverter.py | py | 3,039 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
19399703099 | from typing import List
# 课程表
# https://leetcode-cn.com/problems/course-schedule/
class Solution:
graph_valid = True
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
edges = [[] for _ in range(numCourses)]
# 0未搜索 1搜索中 2已搜索
visited = [0] * numCourses
... | Yigang0622/LeetCode | canFinish.py | canFinish.py | py | 1,239 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
8492342326 |
import sqlite3
class DB:
def __init__(self):
self.con = sqlite3.connect("SIFRE_YONETIM.db") # Veritabani varsa baglanir, yoksa olusturur ve baglanir
self.cursor = self.con.cursor()
tablo_sql = '''CREATE TABLE IF NOT EXISTS SIFRELER(
Id INTEGER Primary Ke... | kagandedeturk/CreativeHubYazilim | Python Dersleri/Ders16/sifre_uret_proje/ProjeDB.py | ProjeDB.py | py | 1,369 | python | tr | code | 5 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
72274908029 | import random
from typing import Tuple, List
from math import lcm
from sympy import gcd
random.seed(42)
STARKFp = 3618502788666131213697322783095070105623107215331596699973092056135872020481
BN254Fp = 21888242871839275222246405745257275088696311157297823662689037894645226208583
p = STARKFp
q = BN254Fp
n = 3 # number... | keep-starknet-strange/garaga | tests/python_tests/casting_out_primes.py | casting_out_primes.py | py | 5,020 | python | en | code | 113 | github-code | 6 | [
{
"api_name": "random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number... |
43970241176 | #!/usr/bin/env python
import sys
import copy
import logging
import argparse
from CPT_GFFParser import gffParse, gffWrite
logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)
def fix_genemarks(gff3):
for rec in gffParse(gff3):
new_features = []
for feature in rec.features:
... | TAMU-CPT/galaxy-tools | tools/gff3/gff3_fix_genemarks.py | gff3_fix_genemarks.py | py | 1,051 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "CPT_GFFParser.gf... |
26330243375 | from torch.utils.data import Dataset
from PIL import Image
class DogsDataset(Dataset):
def __init__(self, labels, root_dir, subset=False, transform=None):
self.labels = labels
self.root_dir = root_dir
self.transform = transform
def __len__(self):
return len(self.labels)
... | francescorubbo/DogBreed | utils.py | utils.py | py | 952 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"l... |
23513945230 | from urllib.parse import quote_plus
from bs4 import BeautifulSoup
from selenium import webdriver
baseUrl = 'https://www.google.com/search?q='
plusUrl = input('무엇을 검색할까요? :')
url = baseUrl + quote_plus(plusUrl)
# 한글은 인터넷에서 바로 사용하는 방식이 아니라, quote_plus가 변환해줌
# URL에 막 %CE%GD%EC 이런 거 만들어주는 친구
driver = webdriver.Chrome(exe... | sooheeoh/python_trial | google_crawling.py | google_crawling.py | py | 847 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "b... |
36307808456 | # -*- coding: utf-8 -*-
# =========================== Author and Copyright. ===========================
# Author: Hiroki TAKAGAHARA(Hexadrive Inc.)
# Licence: MIT License (https://opensource.org/licenses/mit-license.php)
# =============================================================================
import xml.etr... | hexagit/MayaPythonGuiDemo | demowindow.py | demowindow.py | py | 2,254 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PySide.QtGui.QPixmap",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PySide.QtCore.Qt.KeepAspectRatio",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PySide.QtCore.Qt",
"line_number": 28,
"usage_type": "name"
},
{
"api_n... |
6105849643 | import requests
import sys
import urllib3
from bs4 import BeautifulSoup
import re
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
proxies = {'http': 'http://127.0.0.1:8080', 'https': 'http://127.0.0.1:8080'}
def get_csrf_token(s, url):
r = s.get(url, verify=False, proxies=proxies)
soup =... | rkhal101/Web-Security-Academy-Series | business-logic-vulnerabilities/lab-10/business-logic-flaw-lab-10.py | business-logic-flaw-lab-10.py | py | 3,074 | python | en | code | 396 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.f... |
73790989309 | from typing import Tuple, List
from abstract_puzzles import AbstractPuzzles
DATA_TYPE = List[int]
class Puzzles(AbstractPuzzles):
def __init__(self, method_name):
super().__init__(
method_name,
day=20,
puzzle_1_example_answer=3,
puzzle_1_answer=7225,
... | Lynxens/AdventOfCode2022 | advent_of_code/day20.py | day20.py | py | 1,700 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "abstract_puzzles.AbstractPuzzles",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",... |
30575388870 | from __future__ import division, print_function
from PyQt5 import QtCore, QtWidgets, QtGui
class EditDownsampleDialog(QtWidgets.QDialog):
"""
"""
def __init__(self, points, xloc=None, yloc=None):
"""
Args:
points:
xloc:
yloc:
"""
super... | jmilhone/piscope | source/gui/downsample_dialog.py | downsample_dialog.py | py | 1,876 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PyQt5.Qt... |
70820329149 |
import torch
import torch.nn as nn
import torch.nn.functional as F
class ExtractorHead(nn.Module):
def __init__(self, ext, head):
super(ExtractorHead, self).__init__()
self.ext = ext
self.head = head
self.head.fc.weight = nn.parameter.Parameter(F.normalize(self.head.fc.weight.data, dim=-1))
def forward(sel... | devavratTomar/TeSLA | networks/classification/ssh.py | ssh.py | py | 533 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.parameter.Parameter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.par... |
39071221244 | """View module for handling requests about movieNights"""
from django.contrib.auth.models import User #pylint:disable=(imported-auth-user)
from django.core.exceptions import ValidationError
from django.http import HttpResponseServerError
from rest_framework import status
from rest_framework.decorators import action
fro... | Nickarmani03/WhoDunIt-Server | whodunitapi/views/movie_night.py | movie_night.py | py | 7,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.ViewSet",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "whodunitapi.models.Player.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "whodunitapi.models.Player.objects",
"line_number": 22,
"usage_type"... |
38257517815 | # Databricks notebook source
# MAGIC %md
# MAGIC ###Intesting qualifying folder
# COMMAND ----------
dbutils.widgets.text("p_data_source","")
v_data_source=dbutils.widgets.get("p_data_source")
# COMMAND ----------
# MAGIC %run "../includes/configuration"
# COMMAND ----------
# MAGIC %run "../includes/common_comma... | kpkrishan/Formula-1-Data-Analysis | data ingestion/qualifying_folder_ingestion.py | qualifying_folder_ingestion.py | py | 2,458 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.types.StructType",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.types.StructField",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.types.IntegerType",
"line_number": 29,
"usage_type": "call"
},
... |
11221575931 | from selenium import webdriver
driver_add = 'C:\\Users\\roy79\\Desktop\\Research\\product-analysis\\walmart_scraper\\chromedriver.exe'
def sel_get_url(url):
options = webdriver.ChromeOptions()
options.add_argument('--ignore-certificate-errors')
options.add_argument('--headless')
driver = webdriver.Ch... | renyc432/headphone-product-analysis | selenium_helper.py | selenium_helper.py | py | 542 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
72532302589 | # pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
# pylint:disable=protected-access
# pylint:disable=no-value-for-parameter
import datetime
from dataclasses import dataclass
from typing import Any, Final
from uuid import uuid4
import networkx as nx
import pytest
... | ITISFoundation/osparc-simcore | services/director-v2/tests/unit/test_utils_dags.py | test_utils_dags.py | py | 22,843 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "models_library.projects.NodesDict",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "simcore_service_director_v2.utils.dags.create_complete_dag",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "networkx.is_directed_acyclic_graph",
"line_numbe... |
13906198620 | import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.cross_validation import train_test_split
def create_samples(df, fraction_for_testing):
'''Given a dataframe and fraction for testing data (given as decimal), splits
the data into random samples of training and testing data. ... | lmcindewar/CAPP30254-lmcindewar | Assignment2/models.py | models.py | py | 1,274 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 31,
"usage_type": "call"
}
] |
33257829967 | import pandas as pd
from flask import Blueprint, render_template, request, redirect, url_for
from flask_login import login_required, current_user
from kino_app import visit_count
from utils import get_db_connection
from kino_app.models.kino_model import *
main = Blueprint('main', __name__)
@main.route('/')
def main... | Aight99/cinema-database-flask | kino/kino_app/routes/main_route.py | main_route.py | py | 3,624 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.get_db_connection",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_login.current_user.is_authenticated",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
31086445870 | import os
from dotenv import load_dotenv
from tkinter import Tk, PhotoImage
from ui.ui import UI
from ui.buttons import Buttons
dirname = os.path.dirname(__file__)
try:
load_dotenv(dotenv_path=os.path.join(dirname, "..", ".env"))
except FileNotFoundError:
print("not found")
window = Tk()
window.title("Shakuhac... | ElectricShakuhachi/shakunotator | src/index.py | index.py | py | 556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
19951879467 | from django import forms
from django.forms import Textarea, ChoiceField, CharField
from crispy_forms.bootstrap import InlineCheckboxes
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout
from ajax_select.fields import AutoCompleteSelectField
from .models import FeedBack, Comment, Rating... | Baradys/star_wars | movies/forms.py | forms.py | py | 3,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.FeedBack",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.forms... |
24958733359 | import bpy
from bpy.props import *
from bpy.types import Node, NodeSocket
from arm.logicnode.arm_nodes import *
class BoneIKNode(Node, ArmLogicTreeNode):
'''Bone Inverse Kinematics node'''
bl_idname = 'LNBoneIKNode'
bl_label = 'Bone IK'
bl_icon = 'QUESTION'
def init(self, context):
self.in... | phillipmacon/armory-3d-engine | blender/arm/logicnode/animation_bone_ik.py | animation_bone_ik.py | py | 618 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bpy.types.Node",
"line_number": 6,
"usage_type": "name"
}
] |
35026741683 | def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
from sklearn.preprocessing import FunctionTransformer
from reskit.norms import binar_norm, wbysqdist
from reskit.norms import spectral_norm
from reskit.features.degree import degrees
from sklearn.feature_selection import VarianceThreshold
fr... | neuro-ml/PRNI2016 | calculation.py | calculation.py | py | 7,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.warn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.core",
"lin... |
6957640835 | import pycld2 as cld2
import argparse
argparser = argparse.ArgumentParser()
argparser.add_argument('-s', '--srcLang', required=True, help='Short version of the source language')
argparser.add_argument('-t', '--trgLang', required=False, help='Short version of the target language')
argparser.add_argument('-sc', '--srcc'... | akshairamesh/Lores_DA_Assignment | cleaning_scripts/cld2_clean.py | cld2_clean.py | py | 2,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pycld2.detect",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pycld2.detect",
"line_number": 36,
"usage_type": "call"
}
] |
8784078157 | '''
Author: allendred
Date: 2023-05-20 17:51:00
LastEditors: allendred
LastEditTime: 2023-05-23 09:59:50
FilePath: /Play-Monopoly-like-with-ChatGPT/src/prompts/prompts.py
Description: Follow your heart
'''
import os
import openai
from dotenv import load_dotenv
load_dotenv(verbose=True)
# Load your API key from an env... | allendred/Play-Monopoly-like-with-ChatGPT | src/prompts/prompts.py | prompts.py | py | 839 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
... |
36544786628 | """ chess using mcts """
import mcts
import chess
import math
import numpy as np
from random import choice
from pprint import pprint
NUMBER_OF_PLAYOUTS = 100
MAX_PLAYOUT_LEN = 50
class UctSelectPolicy:
@staticmethod
def uct(node):
if node.playout_count == 0:
return 10000 # return high ... | joshsteiner/szachy-si | deprecated/mcts.py | mcts.py | py | 5,546 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "chess.status",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "chess.IN_PROGRESS",
"line_number"... |
9836277081 | import maya.cmds as cmds
import random, math
'''
List of procedures in the module:
def convertToRgb(colour):
Converts hue, saturation and brightness of a colour to corresponding RGB value.
def getRandomValue(range):
Picks a random value between a start point and endpoint, wrapping back to 0
... | hcbsundberg/City_Generator | cityGenerator/tools.py | tools.py | py | 2,987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.uniform",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "maya.cmds.sets",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_nu... |
74261585147 | from google.cloud import storage
from datetime import datetime
from dotenv import load_dotenv
import pandas as pd
from time import time
import os
key_path = os.path.join('infrastructure/credentials/key.json')
class StorageProvider:
def __init__(self, bucket):
self.client = storage.Client.from_s... | Adriana031991/process-matches-python | infrastructure/external/storage_provider.py | storage_provider.py | py | 994 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.storage.Client.from_service_account_json",
"line_number": 12,
"usage_type": "call"
},
{
"api... |
25534291141 | from django.core.management.base import BaseCommand
from location.models import Region
class Command(BaseCommand):
def handle(self, *args, **options):
kantoni = ['Sarajevo', 'Unsko-sanski', 'Posavski', 'Tuzlanski', 'Zeničko-dobojski', 'Bosansko-podrinjski',
'Srednjobosanski', 'Hercego... | HarunColic/ZizaRepo | post/management/commands/KantoniRegije.py | KantoniRegije.py | py | 586 | python | hr | code | 0 | github-code | 6 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "location.models.Region",
"line_number": 15,
"usage_type": "call"
}
] |
30985237204 | import tensorflow as tf
import numpy as np
import gym
from dqn import dqn
def add_dense(inputs, output_size, activation=None, kernel_initializer=None, name="default"):
layer = tf.layers.dense(inputs, output_size, activation=activation, kernel_initializer=kernel_initializer, name=name)
with tf.variable_s... | Osj1614/tensorboard_guide | cartpole.py | cartpole.py | py | 4,085 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.layers.dense",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.layers",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": ... |
3979243202 | import streamlit as st
import tensorflow as tf
import numpy as np
from urllib.request import urlopen
# rdn = RDN(weights='psnr-small')
from tensorflow import keras
from tensorflow.keras.preprocessing import image
import pandas as pd
from sklearn.neighbors import NearestNeighbors
from tensorflow.keras.applications.resne... | Hira-Naseer/ImageClassification_ReverseImageSearch | main.py | main.py | py | 6,132 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.applications.resnet... |
73783137149 | import grovepi
from grovepi import *
from grove_rgb_lcd import *
from time import sleep
from math import isnan
import csv
import socket, struct, dweepy, time, platform, random
import sqlite3
from sqlite3 import Error
thingName = []
thingRate = []
#newRate = map(lambda line: [int(x) for x in line],thingRate)
from s... | jackbourkemckenna/IOT-data | data.py | data.py | py | 2,976 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"lin... |
41877671346 | import os
import json
import copy
import pickle
import logging
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn.init
import torch.nn as nn
from torch.nn import functional as F
from utils import utils, imsitu_scorer, imsitu_loader, imsitu_encoder
from models import ggnn_baseline, ggnn_r2... | haofanwang/KGRN-SR | visualization/role_accuracy.py | role_accuracy.py | py | 11,060 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentPars... |
19064410808 | from flask import request, Blueprint
from api.ver1.utils import field_missing_resp, runtime_error_resp, \
not_found_resp, check_form_data, no_entry_resp
from api.ver1.offices.controllers import OfficeCont
from api.strings import name_key, post_method, get_method, type_key, ok_str
from api.ver1.offices.strings ... | pcf26536/politico-api | api/ver1/offices/endpoints.py | endpoints.py | py | 1,696 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "api.strings.po... |
70860770428 | import os
import sys
sys.path.append("..")
from utils.graph_builder_uitls import OPPOSITE, TreeNode, json_loader, json_saver, node_box_update, posotion_judge
def get_item(id,list):
for item in list:
if id==item["id"]:
return item
def get_line_bbox(bboxs):
x = [bboxs[i][j] for i in ran... | Line-Kite/GraphLayoutLM | data/cord/graph_cord.py | graph_cord.py | py | 5,386 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "utils.graph_builder_uitls.posotion_judge",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "... |
13122900142 | import json
import random
import pandas as pd
import numpy as np
import torch
from torch import nn
from sklearn.metrics import f1_score
from sklearn.utils import shuffle
from sklearn.utils.class_weight import compute_class_weight
from transformers import AutoModel, BertTokenizer
from utils import get_labels, ... | DimitrisPatiniotis/Human-Value-Detection | dpat/bert_with_svm/finetune_bert.py | finetune_bert.py | py | 7,795 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "utils.get_column",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "utils.get_labels",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.get_column",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
21347362745 | # -*- coding: utf-8 -*-
"""
@author: vv
"""
import os
import math
import pandas as pd
import numpy as np
import networkx as nx
from tkinter import _flatten
from collections import Counter
from rdkit import Chem
from rdkit.Chem.rdchem import Mol,Atom
from rdkit.Chem import BRICS
from rdkit.Chem.rdmolfile... | XiaowenDAI/KID | codes/0.merge_fragment_pairs.py | 0.merge_fragment_pairs.py | py | 21,726 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem.MolFromSmiles",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "rdkit.Chem.MolSta... |
25274232770 | from itertools import combinations
N = int(input())
str_num = [str(n) for n in range(9, -1, -1)]
arr = []
for i in range(1, 11):
comb_nums = list(combinations(str_num, i))
for comb_num in reversed(comb_nums):
arr.append(''.join(comb_num))
if N < len(arr):
print(arr[N])
else:
print(-1)
| powerticket/algorithm | 자정까지 방탈출 시즌1/0125_1038_2.py | 0125_1038_2.py | py | 311 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
38453793622 | import sys
input = sys.stdin.readline
from itertools import combinations
class vector:
def __init__(self,p1,p2):
self.x = p2[0]-p1[0]
self.y = p2[1]-p1[1]
def __repr__(self):
return (self.x,self.y)
def dotProd(v1,v2):
return v1.x*v2.x + v1.y*v2.y
n = int(input())
L = [list(map(in... | LightPotato99/baekjoon | math/geometry/triangle/rightTri.py | rightTri.py | py | 585 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 18,
"usage_type": "call"
}
] |
23054466223 | import whisper
import gradio as gr
import time
from pyChatGPT import ChatGPT
import warnings
import os
from gtts import gTTS
warnings.filterwarnings('ignore')
try:
secret_token = os.environ['CHATGPT_SESSION_TOKEN']
except:
input('Please enter your ChatGPT session token: ')
model = whisper.load_model('base')... | liam-e/chatgpt-voice | main.py | main.py | py | 1,449 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "whisper.load_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "whisper.lo... |
35401703408 | import random
import matplotlib.pyplot as plt
import numpy as np
#Reading in data file for round 6:
rps_file = open('rpsdataset.txt', encoding="utf8")
text = rps_file.read()
#Round 0: The setup
roundd = 0
#Roundd will keep track of our stages, which will be how we're going to navigate what we're doing at each turn
w... | ewong30/web | AnnualCS/final/Python Final Project/Python_Project.py | Python_Project.py | py | 25,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.choice",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 284,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 428,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",... |
14703256307 | from datetime import datetime
from os.path import dirname, join
import pytest
from city_scrapers_core.constants import BOARD, COMMITTEE
from city_scrapers_core.utils import file_response
from freezegun import freeze_time
from city_scrapers.items import Meeting
from city_scrapers.spiders.lawa import LawaSpider
test_r... | washabstract/city-scrapers-ca | tests/test_lawa.py | test_lawa.py | py | 4,737 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "city_scrapers_core.utils.file_response",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "c... |
7555775668 | from flask import Blueprint, render_template, request, redirect, abort, url_for
from paapas.pa.pa_db import get_from_db, add_to_db, remove_from_db
from paapas.pa import options, input_types
from pymongo import DESCENDING, ASCENDING
bp_ui = Blueprint('ui', __name__, url_prefix='/ui')
@bp_ui.route('/')
def home():
... | adamurish/computer | paapas/pa/ui.py | ui.py | py | 2,079 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "paapas.pa.options",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "paapas.pa.pa_d... |
8642724034 | import pytest
from trainspotting import SingletonDependenciesContainer
@pytest.mark.parametrize(
'container_type, expected_is_same_instance',
((SingletonDependenciesContainer, True),),
)
def test_dependencies_containers(container_type, expected_is_same_instance):
container = container_type()
class T... | avito-tech/trainspotting | tests/test_containers.py | test_containers.py | py | 1,737 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "trainspotting.SingletonDependenciesContainer",
"line_number": 8,
"usage_type": "name"
},
{
... |
21521002202 | import aiohttp
import asyncio
async def register(session, i):
# login
payload = {
"username": f"并发测试用户_{i:05}",
"password": "123"
}
resp = await session.post('https://729222.iterator-traits.com/auth/login', json=payload)
cookies = resp.cookies
# register
payload = {
... | AerysNan/ChallengeHub | utils/bulk_register_contest.py | bulk_register_contest.py | py | 1,086 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 35,
"usage_type": "call"
}
] |
650290187 | #! /bin/python
import os
import sys
import json
import pickle
import numpy as np
import luigi
from sklearn.ensemble import RandomForestClassifier
import cluster_tools.utils.volume_utils as vu
import cluster_tools.utils.function_utils as fu
from cluster_tools.cluster_tasks import SlurmTask, LocalTask, LSFTask
#
# L... | constantinpape/cluster_tools | cluster_tools/learning/learn_rf.py | learn_rf.py | py | 4,290 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "luigi.Task",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "luigi.DictParameter",
... |
21934500971 |
# https://towardsdatascience.com/how-to-use-natural-language-processing-to-analyze-product-reviews-17992742393c
import spacy
import pandas as pd
import os
DATA_DIR="path to data"
"""Create a list of common words to remove"""
stop_words=["i", "me", "my", "myself", "we", "our", "ours", "ourselves", "you", "your", "you... | br8km/pynlp | run/example/aspect_extract.py | aspect_extract.py | py | 2,133 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spacy.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37... |
37027813861 | import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
from instagrapi import Client
import json
# Read the credentials from the JSON file
with open('credentials.json') as file:
credentials = json.load(file)
# Access the individual credentials
username = credentials['username']
pas... | maazirfan/instagram_hashtag_analysis | insta_stc.py | insta_stc.py | py | 3,536 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "instagrapi.Client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"li... |
410941991 | from functools import partial
import jax.numpy as jnp
import jax.random
import numpy.testing as npt
import pytest
from bayesian_sde_solver.foster_polynomial import get_approx as parabola_approx
from bayesian_sde_solver.foster_polynomial import get_approx_and_brownian as parabola_approx_and_brownian
from bayesian_sde_... | hallelujahylefay/bayesianSDEsolver | tests/test_foster.py | test_foster.py | py | 2,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bayesian_sde_solver.foster_polynomial.get_approx",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bayesian_sde_solver.foster_polynomial.get_approx_and_brownian",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "bayesian_sde_solver.foster_polynom... |
18669817333 | import requests
import time
url = 'https://playground.learnqa.ru/ajax/api/longtime_job'
response = requests.get(url)
parsed_responce = response.json()
token = parsed_responce["token"]
times = parsed_responce["seconds"]
print("Задача начата, время выполнения " + str(times) + " сек.")
playoad = {'token': token}
respon... | Therny/LearnQA_PythonAPI | HomeWork/Ex8_tokens.py | Ex8_tokens.py | py | 924 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number":... |
3061089754 | '''
EAST + Tesseract
East + melhor para cenáros naturais
Processamento de imagens
Arquitetura east suporta apenas imagens com dimensões múltipas de 32
'''
import cv2
import numpy as np
from imutils.object_detection import non_max_suppression
import pytesseract
detector = '../../Util/modelos/frozen... | masilvasql/OCR-With_Python | pythonCodes/step3/OCR1.py | OCR1.py | py | 3,095 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNet",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 43... |
36436562621 | #!/usr/bin/env python
""" This script is to plot live CII map from the recorded telemetry data
Usage: Plot_Recorded_CII_map_live.py Recorded_TelmetryFile.pkl:BkgStartTime:BkgEndTime Recorded_TelmetryFile.pkl:StartTime:EndTime
Start and End times are in the unit of day of the year. They are optional.
If one wants th... | indiajoe/T100_pyTelemetryLive | T100_pyTelemetryLive/Plot_Recorded_CII_map_live.py | Plot_Recorded_CII_map_live.py | py | 8,320 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "collections.defaultdi... |
6501871441 | from uuid import UUID
from sqlalchemy.orm import contains_eager, defer
from sqlalchemy.sql import exists
from mobile_endpoint.dao import AbsctractDao, to_generic
from mobile_endpoint.exceptions import NotFound
from mobile_endpoint.models import db, Synclog, FormData, CaseData, CaseIndex, cls_for_doc_type
from mobile_... | dimagi/mobile-endpoint | prototype/mobile_endpoint/backends/sql/dao.py | dao.py | py | 4,533 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mobile_endpoint.dao.AbsctractDao",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "mobile_endpoint.models.db.session.begin",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mobile_endpoint.models.db.session",
"line_number": 17,
"usage_ty... |
32482978161 | import datetime
from email import message
from functools import wraps
# from pyexpat.errors import messages
from flask import Flask, render_template, request, redirect, url_for, flash, session
from peewee import *
from hashlib import md5
app = Flask(__name__)
app.secret_key = 'secretkeyuye'
DATABASE ... | LifeStlR/CurhatIn | curhatIn/app.py | app.py | py | 9,247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "datetime.dat... |
21718450823 | import torch
import numpy as np
import time
import torch.nn as nn
import torch.nn.functional as F
from utils import MatrixEuclideanDistances,str_to_bool
SEED = 0
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
np.random.seed(SEED)
def MatrixEuclideanDistances_tensor(a, b):
sq_a = a**2
sum_sq_a = torch... | bill315lee/IIDM-FQCT | explain_stream/model_enids_feature_uniform/opt_explain_fu.py | opt_explain_fu.py | py | 5,382 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.... |
6679933192 | import argparse
import csv
import os
import matplotlib.pyplot as plt
import numpy as np
import joblib
import warnings
warnings.filterwarnings('ignore')
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
import torchvision.datas... | gdqb233/inm363prj | mixup.py | mixup.py | py | 7,859 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.backends.cudnn.benchmark",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
37018702761 | from flask import Flask, jsonify, abort, url_for, request
from general_db import db_connect
from models import Problem, User, Entities, Tag, Levels, Scores
app = Flask(__name__)
conn = None
app.config['JSONIFY_PRETTYPRINT_REGULAR'] = True
'''
=======================
======= PROBLEMS ======
=======================
''... | mgbarsky/VIRTUAL_LAB | experiments/server_side/app.py | app.py | py | 6,279 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Problem.db_get_problems",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Proble... |
19918932346 | import requests
image_url = "https://www.cryptocompare.com/media/352312/xci.png"
def download(image_url):
res = requests.get(image_url)
if res.status_code == 200:
image_name = image_url.split("/")[-1]
with open(image_name, 'wb') as file:
file.write(res.content)
download(image_url) | Lexion13/py | original/download_image.py | download_image.py | py | 302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
13678818340 | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('search/', views.search, name='search'),
path('accounts/login/', views.userLogin, name='login'),
path('accounts/', include('django.contrib.auth.urls')),
path('accounts/profile/', views.profile, name... | MukulBarai/The-STEM-Blog | blog/urls.py | urls.py | py | 823 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"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",
... |
44904257533 |
import torch
from model.BaseModel import Base
from model.layer import FeaturesEmbedding,InteractionLayer, FusionLayer
class AOA(Base):
def __init__(self, args) -> None:
super(AOA, self).__init__()
self.args = args
self.embed = FeaturesEmbedding(args.field_dims, args.emb_size)
se... | Jarlene/Experiment | model/aoa.py | aoa.py | py | 1,375 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.BaseModel.Base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "model.layer.FeaturesEmbedding",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "model.layer.InteractionLayer",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
21764221165 | from data import DataSet
import time
import cv2
import pickle
import grpc
import humanaction_pb2
import humanaction_pb2_grpc
import numpy as np
vs = cv2.VideoCapture(-1)
time.sleep(2)
def generate_image():
while True:
ret_val,frame = vs.read()
if ret_val == True:
... | NEBYUzekarias/examples | python/humanaction/humanaction_client.py | humanaction_client.py | py | 1,799 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number... |
72453533627 | import os
import shutil
import datetime
import logging
'''
User-modifiable parameters
'''
LOCAL_EXP_NAME = 'Iordanova_06082022_SOC-R9-F_NeuN-cFOS' # This is the EXPERIMENT_NAME when pipeline is run locally.
EXPERIMENT_NAME = os.environ.get('EXPERIMENT_NAME', LOCAL_EXP_NAME) # Get EXPERIMENT_NAME passed from the SLURM... | Quorumetrix/brain_segmentations | config.py | config.py | py | 6,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
16822801577 | '''
Created on Apr 3, 2019
@author: Tavis
'''
from itertools import permutations
class Matrix():
def __init__(self, d=[0,1,2]):
self.data = d
def __add__(self, other):
return Matrix(Matrix.operate_lists_elementwise(self.data, other.data, lambda x,y: (x+y)%3))
def __sub__(self, other)... | NoahW314/Python-Testing | Testing/src/root/nested/math/cube_matrix.py | cube_matrix.py | py | 1,985 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 49,
"usage_type": "call"
}
] |
37048467675 | import sqlite3
from sqlite3 import Error
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import json
from sqlalchemy.sql import func
from .db_requirement import item_requirement
def create_connection(db_file):
conn = None
try:
conn = sqlite3.connect(db_file)
return conn
excep... | Kelly-Kxx/fyp_selenium_flask | website/data_processing/db_model.py | db_model.py | py | 5,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line... |
6814462847 | import torch.nn as nn
import torch
import math
class MultiHeadedAttention(nn.Module):
def __init__(self, dimension, heads, dropout=0.0):
super().__init__()
assert dimension % heads == 0
self.heads = heads
self.dimension = dimension
self.wq = nn.Linear(dimension, dimension)... | dawnik17/transformer | transformer/model/attn.py | attn.py | py | 5,828 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
23542179431 | # Changes the key by a user-specified number of semitones
import librosa
import soundfile
def main():
filename = librosa.example("brahms")
y, sr = librosa.load(filename)
steps = float(input("Number of semitones to shift audio file: "))
new_y = librosa.effects.pitch_shift(y, sr, steps)
soundfile.w... | JessPaley/PitchShiftingWithLibrosa | pitchShiftingWithLibrosa.py | pitchShiftingWithLibrosa.py | py | 366 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "librosa.example",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "librosa.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "librosa.effects.pitch_shift",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "librosa.effect... |
32863970975 | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.decorators import api_view,authentication_classes,permission_classes
from rest_framework.response import Response
from .models import *
from .serializers import *
from rest_framework.authtoken.models import Token
from rest_... | sabeelgithub/Learn-Django-Rest-Framework | home/views.py | views.py | py | 7,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 15,
"usage_type":... |
32581797933 | import os
import time
import cv2 as cv
import numpy as np
import tflite_runtime.interpreter as tflite
EDGETPU_SHARED_LIB = 'libedgetpu.so.1'
class Inference:
def __init__(self, model_dir):
self.model_dir = model_dir
self.interpreter = tflite.Interpreter(
model_path=self.model_dir,
... | tphanson/ohmni-collision-prevention | src/floorNet.py | floorNet.py | py | 2,204 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tflite_runtime.interpreter.Interpreter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tflite_runtime.interpreter",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tflite_runtime.interpreter.load_delegate",
"line_number": 16,
"usage_ty... |
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