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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4413861423 | #!/home/linking/.pyenv/versions/3.5.1/bin/python
import os
import argparse
import time
# ggkbase.prep.py
# Version 0.1
# 01.17.19
# by linxingchen
# localtime = time.asctime(time.localtime(time.time()))
parser = argparse.ArgumentParser(description="This script is used to perform all metagenomic steps before submitte... | linxingchen/General | ggkbase.prep.py | ggkbase.prep.py | py | 11,261 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_num... |
32571385407 | import numpy as np
from scipy.io import loadmat
from scipy.optimize import minimize
import pickle
def preprocess():
"""
Input:
Although this function doesn't have any input, you are required to load
the MNIST data set from file 'mnist_all.mat'.
Output:
train_data: matrix of t... | navneetnandi/CSE-574-Intro-To-Machine-Learning | Handwritten Digit Recognition Using Logistic Regression/MultiLogReg.py | MultiLogReg.py | py | 8,122 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number... |
38274612972 | import os
import numpy as np
import cv2
import yaml
from shutil import copyfile
import multiprocessing
import matplotlib.pyplot as plt
def create_config(config_path):
if not os.path.exists(config_path):
copyfile('config.yml.example', config_path)
def create_dir(dir):
if not os.path.exists(dir):
... | nachifur/LLPC | data_processing/utils.py | utils.py | py | 5,030 | python | en | code | 23 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "shutil.copyfile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"lin... |
72349310303 | from dns import resolver
from dns.rdatatype import MX as rdtype_mx
from dns.rdtypes.ANY.MX import MX
from zemailer.validation.constants import HOST_REGEX
def get_mx_records(domain, timeout, email_object):
"""Returns the DNS (Domain Name System) records
that specify the mail servers responsible for
hand... | Zadigo/zemailer | zemailer/validation/dns_verifier.py | dns_verifier.py | py | 2,917 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dns.resolver.resolve",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "dns.resolver",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "dns.rdatatype.MX",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "dns.resolver.NXDOM... |
33054877847 | from __future__ import annotations # c.f. PEP 563, PEP 649
import time
from ctypes import byref, c_char_p, c_double, c_int, c_size_t, c_void_p
from functools import reduce
from threading import Lock
from typing import TYPE_CHECKING
import numpy as np
from ..utils._checks import check_type, check_value, ensure_int
f... | mne-tools/mne-lsl | mne_lsl/lsl/stream_inlet.py | stream_inlet.py | py | 18,807 | python | en | code | 33 | github-code | 7 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "stream_info._BaseStreamInfo",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "typi... |
1769023783 | from __future__ import absolute_import, unicode_literals
import os
import warnings
import logging
from django.conf import settings
from django.test.signals import setting_changed
from dbmi_client import environment as env
# Always import this module as follows:
# from dbmi_client import settings [as dbmi_settings]
... | hms-dbmi/django-dbmi-client | dbmi_client/settings.py | settings.py | py | 13,536 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.WARNING",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 123,
"usage_type": "argument"
},
{
"api_name": "dbmi_client.environment.get_str",
"line_number": 133,
"usage_type": "call"
},
{
"a... |
72955468704 | import argparse
import json
import logging
import os
import sys
from azuresphere_device_api import image, devices, capabilities, wifi, manufacturing
from azuresphere_device_api.exceptions import AzureSphereDeviceApiException
class DeviceReadyChecker:
"""
Class which performs device ready checks
"""
... | Azure/azure-sphere-tools | Manufacturing/Manufacturing_Tools/device_ready.py | device_ready.py | py | 14,279 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "azuresphere_device_api.capabilities.get_device_capabilities",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "azuresphere_device_api.capabilities",
"line_number": 33,
"u... |
15716307942 | """
Deletes all scanned images in the prod s3 bucket
"""
import boto
s3 = boto.connect_s3()
prod_bucket = s3.get_bucket('dray-assets-prod')
load_files = list(prod_bucket.list(prefix="media/loads"))
document_files = [f for f in load_files if "load_action_approvals" not in f.name]
for f in document_files:
if "-sc... | twuster/DocumentScanner | cleaner.py | cleaner.py | py | 356 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto.connect_s3",
"line_number": 7,
"usage_type": "call"
}
] |
13861520662 | # library imports
import mariadb
import sys
try:
conn = mariadb.connect(
user="web.coins",
password="pesapesa",
host="localhost",
database="coins"
)
except mariadb.Error as e:
print(f"Error Connecting: {e}")
sys.exit(1)
# Get Cursor
cur = conn.cursor()
cur.execute("sh... | kimeudom/Bsc.Computer-Science | Web Services & prog/web/py_db_conn/connnect.py | connnect.py | py | 729 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "mariadb.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "mariadb.Error",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
}
] |
23348838770 | from argparse import ArgumentParser
# ros
import rospy
# local
from .data_recorder import DataRecorder
def parse_args():
parser = ArgumentParser()
parser.add_argument("--path", type=str, default="./", help="data root path")
parser.add_argument("--pro", action="store_true", help="whether to enable profes... | windzu/wadda | wadda/tools/data_collection/main.py | main.py | py | 640 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rospy.init_node",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "data_recorder.DataRecorder",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "da... |
42184307384 | from scrapy.loader import ItemLoader
from scrapy.selector import Selector
from urllib.parse import urlparse
import scrapy, re, json, sys, json, html, re
from slugify import slugify
from ..database.Queries import Queries
import urllib
class Bgr(scrapy.Spider):
name = "page_bgr"
start_urls = [
'https://... | lakshmishagr/websites-videos-scrapy-python | page_scraping/spiders/Bgr.py | Bgr.py | py | 5,495 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scr... |
43457019169 | import matplotlib.pyplot as plt
from flask import Flask, request
from flask_cors import CORS, cross_origin
import json
from leerCSV import leerTodo
from organizaDatos import normalizarDatos
app = Flask(__name__)
cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'
@app.route('/')
@cross_origin()
def index():... | Elian-Tester/pc_genetico | app.py | app.py | py | 2,242 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.cross_origin",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.get_... |
24228683879 | import re
import ast
import argparse
import crawler
import citer
def set_args():
# 解析issue模版参数 --issue ${{ toJson(github.event.issue.body) }}
parser = argparse.ArgumentParser()
parser.add_argument("--issue", "-i", type=str, help="input issue", required=True)
args = parser.parse_args()
return args
... | YUTING0907/SubscribePapers | recreate.py | recreate.py | py | 1,808 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "crawler.run_all",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "citer.run_all... |
16448859554 | import os
import re
from lxml import etree as ET
import sys
def searchDuplicatesInXML(xmlfile, modify=False):
isxmlchanged = False
parser = ET.XMLParser(remove_blank_text=True)
print("Starting searchDuplicates", file=f)
tree = ET.parse(xmlfile, parser=parser)
root = tree.getroot()
elements = {... | TonyVertenten/ADFXmlTools | checkdirectory.py | checkdirectory.py | py | 4,515 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lxml.etree.XMLParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "lxml.etree.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line... |
6293862072 | """
Twin Builder: static ROM creation and simulation (2023 R2 beta)
---------------------------------------------------------------
This example shows how you can use PyAEDT to create a static ROM in Twin Builder
and run a Twin Builder time-domain simulation.
.. note::
This example uses functionality only availabl... | ansys/pyaedt | examples/07-TwinBuilder/04-Static_ROM_Creation_And_Visualization.py | 04-Static_ROM_Creation_And_Visualization.py | py | 7,348 | python | en | code | 158 | github-code | 7 | [
{
"api_name": "pyaedt.downloads.download_twin_builder_data",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pyaedt.downloads",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "pyaedt.downloads.download_twin_builder_data",
"line_number": 52,
"usage_type... |
18926169326 | from datetime import timedelta
from datetime import datetime
from airflow import DAG
from airflow.operators.bash import BashOperator
# from airflow.operators.python_operator import PythonOperator
from airflow.utils.dates import days_ago
# [args]
default_args = {
'owner': 'airflow',
'depends_on_past': False,
... | seungsu3579/gentle_graph | airflow/dags/gabage_collect.py | gabage_collect.py | py | 1,134 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.timedelta",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "airflow.operators.ba... |
9358240139 | import math
import numpy as np
import pandas as pd
from common.graphs import all_graphs
from config import SIZE, PATH, COLS, ROWS, OUTPUT_PATH, k
def create_matrix_file(COL):
file = pd.read_csv(PATH) # (37481, 15)
data = file.iloc[0:SIZE, COL] # (37481,) channel 0 data (single channel data)
mat = pd.D... | nagraj0308/eeg_akm | common/tools.py | tools.py | py | 2,676 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.PATH",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "config.SIZE",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"l... |
34990838508 | """
Method of showing Regression model taken from Alice ChiaHui Lui (2018)
https://www.kaggle.com/chiahuiliu/avocado-exploratory-and-regression/notebook
FRITZ GERALD SANTOS - 20071968
Building a regression model
"""
import pandas
from sklearn.model_selection import train_test_split
import statsmodels.api as sm
from... | fritzgs/data-mining-lab3 | regression.py | regression.py | py | 1,700 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.concat",... |
18602634957 | #!/usr/bin/env python3
# testing imports
import behave
from mock import patch, MagicMock
from nose.tools import *
# game imports
import items
import tiles
import interfaces
import monsters
from errors import TodoError
# lang imports
import re # for sub
# helpers
def strip_prepositions(text):
return re.sub('(?:^... | frogbotherer/DalekRL | features/steps/step_items.py | step_items.py | py | 6,213 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "items.Item.get_item_by_name",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "items.Item",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "errors.TodoError",... |
14480285366 | import logging
import traceback
from django.utils.timezone import now
from rest_framework import response, status, viewsets
from rest_framework.response import Response
from api import authentication
from api.methods import clean_sensitive_data
from opentoilet import exceptions
from opentoilet.exceptions import APINo... | briandeheus/opentoilet | api/base_api.py | base_api.py | py | 4,972 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.GenericViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"usage_type": "name"
},
{
... |
39905382432 | import os
import yaml
import argparse
import subprocess
import logging
import json
from PIL import Image
from tqdm import tqdm
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
parser = argparse.ArgumentParser(description='Configure benchmark for Faster R-CNN')
parser.add_argument('--img-di... | xinzuan/sr-objdet-agriculture | benchmark_faster_rcnn.py | benchmark_faster_rcnn.py | py | 8,417 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.Argu... |
4262715796 | # -*- coding: utf-8 -*-
# pylint: skip-file
# by Roman Golev
__doc__ = "Returns element Volume for a selected elements. Calculate totals in square meters"
__author__ = 'Roman Golev'
__title__ = "Volume\nQuery"
from types import NoneType
import clr
clr.AddReference("RevitAPI")
import Autodesk
from Autodesk.Revit.DB ... | romangolev/pyArchitect | pyArchitect.tab/Tools.panel/tools2.stack/VolumeQuery.pushbutton/volume-script.py | volume-script.py | py | 3,798 | python | en | code | 13 | github-code | 7 | [
{
"api_name": "clr.AddReference",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "clr.AddReference",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "clr.AddReference",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "Autodesk.Revit.DB.... |
37924880685 | from django.shortcuts import get_object_or_404, redirect, render
from .forms import CommentForm
from blog.models import Post
from .models import Comment
# Create your views here.
def post_comment(request, post_pk):
# 这里先过去被评论的文章，因为后面需要把评论和文章关联起来
# 这里我们使用了django内置的函数get_objects_or_404
# 从而获取post类 也就是文章... | Ehco1996/django_blog | comments/views.py | views.py | py | 2,750 | python | zh | code | 52 | github-code | 7 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "blog.models.Post",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "forms.CommentForm",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
74165419424 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 16 10:13:40 2018
@author: Alexandre
"""
###############################################################################
import numpy as np
###############################################################################
from pyro.dynamic import integrator
from pyro.analy... | alx87grd/AlexRobotics | examples/by_systems/integrators/simple_integrator.py | simple_integrator.py | py | 957 | python | de | code | 15 | github-code | 7 | [
{
"api_name": "pyro.dynamic.integrator.SimpleIntegrator",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyro.dynamic.integrator",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_... |
30255381395 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.urls import reverse
from courses.models import Review
from util.models import Vote
from professors.models import Professor
from .course_util import *
from util.views import error404, util_like_review, util_dislike_review
from... | gcivil-nyu-org/team-4-inperson | ratenyu/courses/views.py | views.py | py | 7,463 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "util.views.error404",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "util.views.error404",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "util.models.Vote.objects.filter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name"... |
17115904331 | import subprocess
import os
import io
from flask import Flask
from flask import request, jsonify
app = Flask(__name__)
MY_AUTH_TOKEN = os.getenv('CI_TOKEN', None)
PATH_TO_SCRIPT = os.getenv('PATH_TO_SCRIPT', None)
@app.route('/', methods=['POST'])
def MainHandler():
if request.headers.get('Authorization') != MY_... | MineGP/WebGP | production/rebuild.py | rebuild.py | py | 1,084 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.headers.get",
"line_n... |
4619503800 |
from timeit import default_timer
from typing import List, Dict, Any, Callable
__all__ = ["time_this"]
# A module-level store of all the evaluation times of things you ran with the
# @time_this decorator
runtime_table: List[Dict[str, Any]] = list()
def time_this(f):
def timed_function(*args, **kwargs):
... | conlan-scientific/qttk | qttk/profiler.py | profiler.py | py | 617 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "timeit.default_timer",
"line_numb... |
26615122751 | from setuptools import find_packages, setup
with open("README.md", "r") as fh:
LONG_DESC = fh.read()
setup(
name="hydra-range-sweeper",
version="0.1.0",
author="Jan-Matthis Lueckmann, Omry Yadan",
author_email="mail@jan-matthis.de, omry@fb.com",
description="Ray Launcher... | jan-matthis/hydra_range_sweeper | setup.py | setup.py | py | 937 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
40412649233 | import jsonschema
import unittest
import pytest
from pathlib import Path
import os
import json
# Load all JSON files in RAM
path_function_dictionaries = os.path.join(
os.path.dirname(__file__), "..", "sql_translate", "function_dictionaries"
)
path_jsonschema = os.path.join(
os.path.dirname(__file__), "samples"... | vanguard/sql_translate | tests/test_json.py | test_json.py | py | 1,192 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
4663568694 | import os
import time
import json
from collections import namedtuple, deque
import numpy as np
import pandas as pd
from scipy import stats
import scipy
from operator import itemgetter, attrgetter
from scipy.special import factorial
import math
#from gmplot import gmplot
Point = namedtuple('Point', ('x', 'y'))
class T... | avlaskin/nyc-taxi-april-2013 | notebooks/identifySuburbs.py | identifySuburbs.py | py | 5,200 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"... |
24560277577 | from __future__ import annotations
import logging
from typing import Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
logger = logging.getLogger(__name__)
class EdenAiParsingInvoiceTool(EdenaiTool):
"""Tool that qu... | langchain-ai/langchain | libs/community/langchain_community/tools/edenai/ocr_invoiceparser.py | ocr_invoiceparser.py | py | 2,187 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "langchain_community.tools.edenai.edenai_base_tool.EdenaiTool",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 37,
"usage_type": "name"
... |
14876699812 | from operator import itemgetter
from datetime import datetime
from sklearn.metrics import roc_auc_score, classification_report
from sklearn.metrics import recall_score
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import f1_score
from sklearn.metrics import ... | jiyuan-li/ml_pipeline | performance_handler.py | performance_handler.py | py | 3,771 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetim... |
36522672520 | # https://diagrams.mingrammer.com/docs/nodes/aws
# https://www.graphviz.org/doc/info/attrs.html
from diagrams import Cluster, Diagram, Edge
from diagrams.aws.compute import Lambda
from diagrams.aws.storage import S3
from diagrams.aws.network import APIGateway
from diagrams.aws.database import DynamodbTable
from diagram... | PaulDuvall/cloudproviders | webapp/diagrams-sam.py | diagrams-sam.py | py | 2,062 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "diagrams.Diagram",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "diagrams.Cluster",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "diagrams.aws.general.User",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "diagrams.... |
24763770553 | from vyper.compiler import (
compile_codes,
mk_full_signature,
)
def test_only_init_function():
code = """
x: int128
@public
def __init__():
self.x = 1
"""
code_init_empty = """
x: int128
@public
def __init__():
pass
"""
empty_sig = [{
'outputs': [],
'inputs': []... | ssteiger/Vyper-Contract-GUI-Depreciated | vyper/tests/parser/functions/test_abi.py | test_abi.py | py | 1,149 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "vyper.compiler.mk_full_signature",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "vyper.compiler.mk_full_signature",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "vyper.compiler.mk_full_signature",
"line_number": 43,
"usage_type": "ca... |
46845555527 | import math
from Cryptodome.Random import random
from schemes import (
precompute_both_scheme,
precompute_gm_scheme,
precompute_gnr_scheme,
scheme1,
scheme3,
)
from schemes.config import POWER
def testScheme1(m1, m2):
ps = scheme1.PaillierScheme()
ct1 = ps.encrypt(m1)
ct2 = ps.encry... | Muzosh/paillier-optimization | testall.py | testall.py | py | 2,472 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "schemes.scheme1.PaillierScheme",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "schemes.scheme1",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "schemes.scheme3.PaillierScheme",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
6269660089 | import calendar
import time
import datetime
from datetime import datetime, timedelta
from datetime import datetime
import os
import os.path as op
import zipfile
import random
# calendar: 获取一年的日历字符串
# 参数
# w = 每个日期之间的间隔字符数
# l = 每周所占用的行数
# c = 每个月之间的间隔字符数
cal = calendar.calendar(2017, l=0, c=3)
# isleap：判断某一年是否闰年
isle... | AlanStorm/Python | marketdown/package_used/code.py | code.py | py | 8,673 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "calendar.calendar",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "calendar.isleap",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "calendar.leapdays",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "calendar.month",
... |
72777133343 | #!/usr/bin/python3
"""
Contains class Airacft
"""
import models
import copy
import json
from models.airport import Airport
from math import radians, cos, sin, asin, sqrt, pow, atan2, pi
from datetime import date, datetime, timedelta
class Aircraft(object):
"Class model for all aircrafts"
#class needed information
... | coding-max/ATCAS | models/aircraft.py | aircraft.py | py | 12,534 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "models.storage.aircraft_query_id",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "models.storage.aircraft_query_update",
"line_number": 67,
"usage_type": "call"
},
... |
22668029208 | import pytest
import datetime
from snekdate.snekdate import SnekDate
############offset
def test_offset_type_returned():
assert isinstance(SnekDate().offset(days=1), SnekDate)
@pytest.mark.parametrize(
'end_date,offset_date,days,hours,minutes,seconds',
[
(
datetime.datetime(day=2... | snektools/snekdate | tests/snekdate_methods_test.py | snekdate_methods_test.py | py | 2,546 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "snekdate.snekdate.SnekDate",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "snekdate.snekdate.SnekDate",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 11,
"usage_type": "call"
},
{
"... |
39249487794 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from sklearn import tree
import numpy as np
import pydot
import pandas as pd
import graphviz
import seaborn as sns
from tensorflow import keras
import matplotlib.pyplot as plt
import tensorflow as tf
from pylab import rcParams
from sklearn.model_selection import train_t... | rachitmathur89/Heart-Disease-Prediction-using-keras | Heart Disease Prediction.py | Heart Disease Prediction.py | py | 16,568 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "seaborn.... |
39836440421 | """initial migration
Revision ID: 282408d6d0f2
Revises:
Create Date: 2017-11-17 12:01:28.240094
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '282408d6d0f2'
down_revision = None
branch_labels = None
depends_on = None
de... | shonmark/flask_web | migrations/versions/282408d6d0f2_initial_migration.py | 282408d6d0f2_initial_migration.py | py | 4,332 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.INTEG... |
44358507957 | import json
import logging
import logging.handlers
import splunk.admin as admin
import splunk.entity as entity
import splunk.rest as rest
import splunk.util as util
import sys
import time
if sys.platform == "win32":
import os, msvcrt
msvcrt.setmode(sys.stdin.fileno(), os.O_BINARY)
msvcrt.setmode(sys.stdout... | davidratcliffe/es_eventgens | SA-ThreatIntelligence/bin/reviewstatuses_rest_handler.py | reviewstatuses_rest_handler.py | py | 36,111 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sys.platform",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "msvcrt.setmode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdin.fileno",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
37974581127 | '''
分析字幕文件中出现的所有英文单词，并累计出现的次数
统计单词中所有字母的频次
steps:
1. 识别文件类型，txt、rar、zip
zip: 50 4B 03
rar: 52 61 72 21 1A 07 00
else:
2. 打开/解压文件
7z x 14.zip -y -oE:\tmp
3. 提取单词
4. 统计
https://blog.csdn.net/weixin_42902669/article/details/102806154
'''
import os
import shutil
import re
i... | Supegg/zimuku_spider | dialogue_word_frequency.py | dialogue_word_frequency.py | py | 4,944 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.dumps",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 78,
... |
69849591582 | from __future__ import print_function
import os
import re
import sys
from setuptools import setup, find_packages
from distutils.command.build_py import build_py as _build_py
from glob import glob
from os.path import join
python_requires = (3, 6)
if sys.version_info < python_requires:
raise SystemExit('Python 3.6... | elinscott/ase_koopmans | setup.py | setup.py | py | 3,718 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "distutils.command.build_py.build_py",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "d... |
8581986833 | import os
from data.raw_data_loader_settings import *
import h5py
import logging
import numpy as np
import pandas as pd
import time
logger = logging.getLogger(__name__)
# TODO: process all files to standard format
class DataProcessor:
def __init__(self, name, ReferenceDataLoader, RawDataLoader, org_structure=F... | fangxuyi/qr_codebase | data/dataprocessor.py | dataprocessor.py | py | 11,324 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "time.perf_counte... |
7225419833 | # patricia.roxanne.kwarwp_v2.py
# SPDX-License-Identifier: GPL-3.0-or-later
# patricia.roxanne.kwarwp.py
# SPDX-License-Identifier: GPL-3.0-or-later
"""
Meu Kwarwp Isaac
.. codeauthor:: Isaac D'Césares <isaac.dcesares@gmail.com>
Changelog
---------
.. versionadded:: 20.08
Classe Índio
.. versionad... | kwarwp/patricia | roxanne/kwarwp_v2.py | kwarwp_v2.py | py | 5,903 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "collections.namedtuple",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "... |
34279271785 | import os
import psycopg2
from flask import current_app
from flask import g
def init_db(app):
try:
app.config['db_dsn'] = ('host={DB_HOST} '
'dbname={DB_NAME} '
'user={DB_USER} '
'password={DB_PASSWORD}').for... | kerma/flask-template-app | ftapp/db.py | db.py | py | 887 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "flask.g.db.close",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.g.db",
"line_n... |
37796026994 | """Event image handlers."""
from flask import request
from hinews.messages.image import NoSuchImage, ImageDeleted, ImagePatched
from his import authenticated, authorized
from wsgilib import Binary, JSON
from hievents.orm import Image
__all__ = ["ROUTES"]
def get_image(ident):
"""Returns the respective image."... | homeinfogmbh/hievents | hievents/wsgi/image.py | image.py | py | 1,327 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "hievents.orm.Image.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "hievents.orm.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "hievents.orm.Image.id",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "... |
8346813675 | import requests
import os
from ..utils import get_headers
DEFAULT_EXECUTE_URL = "https://cloud-api.abstra.cloud/cli/connectors/execute"
EXECUTE_URL = os.getenv("ABSTRA_CONNECTORS_EXECUTE_URL", DEFAULT_EXECUTE_URL)
class ConnectorExecutionError(Exception): # public api
def __init__(self, name: str, method_name: ... | modaye/abstra-lib | abstra/connectors/classes.py | classes.py | py | 1,932 | python | en | code | null | github-code | 7 | [
{
"api_name": "os.getenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 32,
... |
24194792508 | # This script was created in 2021 to attempt to book an appointment on the RiteAid site.
# This doesn't do web scraping, instead it calls the json services that are used on the website.
# This was discussed on an episode of Data Science Imposters.
import json
import os
import requests
import time
# The script failed o... | datascienceimposters/python_random_scripts | riteaid-covid-vaccine.py | riteaid-covid-vaccine.py | py | 2,321 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
27534400669 | import datetime
from kiteconnect import KiteConnect
kite = KiteConnect(api_key="")
def make_zerodha_login(api_key, access_token):
global kite
try:
kite.api_key = api_key
kite.set_access_token(access_token)
return 1
except Exception as e:
return 0
| webclinic017/LevelTable | login.py | login.py | py | 295 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "kiteconnect.KiteConnect",
"line_number": 4,
"usage_type": "call"
}
] |
35445763386 | import numpy as np
from PIL import Image, ImageFilter
from os import path, walk
import pandas as pd
from scipy.ndimage.filters import gaussian_filter
import shutil
def Gaussian33(img):
kernel = ImageFilter.Kernel((3, 3), (1/16, 1/8, 1/16, 1/8, 1/4, 1/8, 1/16, 1/8, 1/16), 1, 0)
im2 = img.filter(kernel)
retu... | KarlChuang/DIP_DoF | generateImage.py | generateImage.py | py | 4,952 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.ImageFilter.Kernel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFilter",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFilter.Kernel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image... |
37181205978 | #coding=utf-8
##异步的操作都需要用await 也就是阻塞声明
#拿到章节的url=http://dushu.baidu.com/api/pc/getCatalog?data={%22book_id%22:%224306063500%22}
###协程爬取的注意事项
#1.必须创建一个任务集合 里面保存的是异步任务函数的调用 tasks['xxx()',xxx()]
#2.异步函数 必须用async声明 并且使用的使用需要用await进行阻塞
import asyncio
import re
import requests
import aiohttp
import aiofiles
async def downlo... | saturn-x/spider_practice | 基础练习/协程爬取多章小说.py | 协程爬取多章小说.py | py | 1,466 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.sub",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aiofiles.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number"... |
14120731752 | import geopandas as gpd
from shapely.geometry import Point
import json
def calculate_distance(city1, city2, cities_df):
point1 = cities_df.loc[cities_df['city'] == city1]['geometry'].values[0]
point2 = cities_df.loc[cities_df['city'] == city2]['geometry'].values[0]
return point1.distance(point2)
def creat... | kmecseki/routeplanner | this.py | this.py | py | 3,524 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 16,
"usage_type": "call"
}
] |
17140953610 | import torch
import torch.nn as nn
from torch.nn.parallel import DataParallel, DistributedDataParallel
import os
import copy
import pickle
import numpy as np
from termcolor import colored
from collections import defaultdict
from typing import Any, Dict, List, Optional
from .missing import get_missing_parameters_messa... | major196512/vistem | vistem/checkpointer/checkpointer.py | checkpointer.py | py | 8,117 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "torch.nn.parallel.DistributedDataParallel",
"line_number": 29,
"usage_type": "name"
},
{
"api_name"... |
26615294911 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pipenv install twine --dev
import io
import os
import sys
from shutil import rmtree
from setuptools import Command, find_packages, setup
NAME = "papers"
DESCRIPTION = "Simple reference manager in Py... | jan-matthis/papers | setup.py | setup.py | py | 3,013 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_numb... |
19110377837 | from itertools import permutations
if __name__ == '__main__':
S, k = input().split()
S = str(S).upper()
k = int(k)
# Create the list of permutations
perms = list(permutations(S, k))
# Extract the characters from the permutations into a string
perm_strings = []
for perm in perms:
perm_string = ''
... | jwross24/hr-python | itertools/itertools_permutations.py | itertools_permutations.py | py | 529 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.permutations",
"line_number": 9,
"usage_type": "call"
}
] |
38105917835 | import sys, glob, os, shutil
import numpy as np
import pandas as pd
import pickle
from argparse import ArgumentParser
from distutils.util import strtobool
from Bio.PDB import PDBParser
from Bio.PDB.DSSP import DSSP
'''
the purpose of this script is to take in PDB models straight from diffusion and run some
analysis on... | catherinekuhn17/general_design_scripts | for_diffusion/diff_mets.py | diff_mets.py | py | 12,483 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "distutils.util.strtobool",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "numpy.full",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "numpy... |
34516591566 | #!/usr/bin/env python
import argparse
import json
import requests
import sys
nagios_output_state = {
'OK': 0,
'WARNING': 1,
'CRITICAL': 2,
'UNKNOWN': 3,
}
class Jenkins(object):
def __init__(self, args):
self.host = args.host
self.username = args.username
self.password = ... | drazul/check_jenkins | check_jenkins.py | check_jenkins.py | py | 5,694 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 94,
... |
20002045582 | import streamlit as st
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
"""
## Connecting variables
Correlation plot
"""
st.sidebar.markdown("""
- season : season (1:winter, 2:spring, 3:summer, 4:fall)
- yr : year (0: 2011, 1:2012)
- mnth : mon... | Diaelthomas/BikeSharingStreamlit | Pages/02_Connecting_Variables.py | 02_Connecting_Variables.py | py | 6,720 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "streamlit.sidebar.markdown",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pan... |
3810319666 | """
Time-lock-puzzles related functionality.
"""
import datetime
import random
import pickle
from dataclasses import dataclass
from tqdm import tqdm
from zteb.exceptions import PuzzleNotSolvedException
from .primes import get_large_primes_tuple
from .symmetric import generate_key, SymmetricEncryptionScheme
_FIVE_SE... | BoyanH/ZTEB | zteb/crypto/puzzle.py | puzzle.py | py | 5,341 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "zteb.exceptions.PuzzleNotSolvedException",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "symmetric.SymmetricEncryptionScheme",
"line_number": 91,
"usage_type": "call"... |
30705722306 | #!/usr/bin/env python3
# coding: utf-8
from __future__ import absolute_import, division, print_function
from builtins import filter, map, range, zip
from minitn.heom.corr import Drude
from minitn.heom.network import tensor_train_template
from minitn.heom.propagate import MultiLayer
from minitn.lib.backend import DTYP... | vINyLogY/minimisTN | tests/delta/test_boson_do.py | test_boson_do.py | py | 6,468 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "minitn.lib.units.Quantity",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "minitn.lib.units.Quantity",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "minitn.lib.units.Quantity",
"line_number": 26,
"usage_type": "call"
},
{
"api... |
1275513744 | from tkinter import messagebox
import requests
import pyrebase
import urllib
import os
class StorageFb:
# Configuracion para el llamado de las funciones
config = {
"apiKey": "AIzaSyCz1KXOrNVVmy0RI-dvOhkTPUo0NemBzlg",
"authDomain": "identify-faces.firebaseapp.com",
"databaseURL": "https:... | BrayanSalas/IdentifyFaces | firebaseUtil.py | firebaseUtil.py | py | 2,789 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 34,
"usage_type": "name"
},
{
"api_name"... |
71307741022 | from django.urls import include, path
from rest_framework import routers
from . import views
router = routers.SimpleRouter()
router.register(r'schools', views.SchoolViewSet, basename='School')
router.register(r'partners', views.PartnerViewSet, basename='Partner')
router.register(r'forms', views.SalesforceFormsViewSet,... | openstax/openstax-cms | salesforce/urls.py | urls.py | py | 847 | python | en | code | 92 | github-code | 7 | [
{
"api_name": "rest_framework.routers.SimpleRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_nam... |
3805789557 | from django.contrib.auth.decorators import login_required
from django.db.models import Sum
from django.http import HttpResponse
from django.shortcuts import render, redirect, render_to_response
from django.core.serializers.json import DjangoJSONEncoder
from django.core.exceptions import ObjectDoesNotExist
from django.v... | stahh/poloniex_trade_bot | frontend/views.py | views.py | py | 17,038 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "frontend.forms.UserExchangesForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "frontend.models.UserExchange.objects.all",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "frontend.models.UserExchange.objects",
"line_number": 22,
"usag... |
75029366303 | from aocutils import get_lines
from functools import reduce
SCORES_P1 = {')': 3, ']': 57, '}': 1197, '>': 25137, None: 0}
SCORES_P2 = {'(': 1, '[': 2, '{': 3, '<': 4}
OPEN = {'(', '[', '{', '<'}
PAIRS = {')': '(', ']': '[', '}': '{', '>': '<'}
def problem1():
return sum(SCORES_P1[get_invalid(line)] for... | mason359/aoc2021 | day10.py | day10.py | py | 917 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "aocutils.get_lines",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "aocutils.get_lines",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 32,
"usage_type": "call"
}
] |
18075045202 | import time
from http.server import HTTPServer, BaseHTTPRequestHandler
from pathlib import Path
import os
from dotenv import load_dotenv
from datetime import datetime
from orm.queries import initialize_data, insert_request_data, collect_response_data
from router import route_get_urls
ROOT_DIR = Path(os.path.abspath(os... | tlsabara/dokerizando | projeto_python/fake_gaspar/endpointlocal.py | endpointlocal.py | py | 3,477 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "dotenv.load_dotenv",
"l... |
17827143013 | # Create your views here.
from rest_framework import generics, permissions, status
from utils.helpers import ResponseHelper
from .models import Sex
from .serializers import SexSerializer
class SexListApiView(generics.ListAPIView):
queryset = Sex.objects.all()
serializer_class = SexSerializer
permission... | alexaderramos/django-rest-mascotas | applications/sexes/views.py | views.py | py | 3,062 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.generics.ListAPIView",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Sex.objects.all",
"line_number": 12,
"usage_type": "call"
},
... |
19102687123 |
import torch
import numpy as np
from collections import OrderedDict
from CUDE.utils.horovod import reduce_value
from CUDE.utils.logging import prepare_dataset_prefix
def reduce_dict(data, to_item=False):
"""
Reduce the mean values of a dictionary from all GPUs
Parameters
----------
data : dict
... | NeurAI-Lab/CUDE-MonoDepthCL | CUDE/utils/reduce.py | reduce.py | py | 10,234 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "CUDE.utils.horovod.reduce_value",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.tril_... |
31765700816 | """
3GPP TR38.901 Pathloss v Distance Playground [Testing Script]
Author: Bharath Keshavamurthy <bkeshava@purdue.edu | bkeshav1@asu.edu>
Organization: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN
School of Electrical, Computer and Energy Engineering, Arizona S... | bharathkeshavamurthy/SPAVE-28G | test/analyses/src/3GPP_PLD_Playground.py | 3GPP_PLD_Playground.py | py | 1,625 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "scipy.constants.speed_of_light",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "scipy.constants",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.sqrt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.... |
29805793567 | """
These scripts set up three DAGs for collecting, storing and backing up financial market data, including stock data and cryptocurrency data.
The DAG for stock data collection and storage consists of three tasks:
get_stocks: retrieves the symbol of the top 5 stocks accordingly with market performance
get_stock_data:... | abeltavares/MarketTrackPipe | dags/market_data_dag.py | market_data_dag.py | py | 4,915 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "airflow.models.... |
37480958057 | from typing import Optional
import torch
import numpy as np
import argparse
import os
from os.path import dirname, join
from pathlib import Path
import yaml
from dingo.core.models import PosteriorModel
from dingo.core.utils.plotting import plot_corner_multi
from dingo.gw.data.event_dataset import EventDataset
from di... | dingo-gw/dingo | dingo/gw/inference/inference_pipeline.py | inference_pipeline.py | py | 12,606 | python | en | code | 33 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dingo.gw.data.data_preparation.get_event_data_and_domain",
"line_number": 155,
"usage_type": "call"
},
{
"api_name": "dingo.gw.data.data_preparation.parse_settings_for_raw_data",
... |
691178496 | # -*- coding: utf-8 -*-
import scrapy
from bs4 import BeautifulSoup
import re
import traceback
from pokemons.items import PokemonsItem
class pokemonsSpider(scrapy.Spider):
'''
定义一个继承自 scrapy.Spider 的类，用于爬虫
'''
# 用于在 terminal 中执行 scrapy 爬虫命令的标示
name = 'pokemons'
# 爬取的链接
start_urls = [
... | ezra1218/pokemon-crawler | pokemons/pokemons/spiders/pokemons-spider.py | pokemons-spider.py | py | 24,057 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"... |
72844313502 | import os
import sys
import stat
import torch
import numpy as np
from sklearn.metrics import classification_report
def rename(path):
'''
outputs of ais_bench end with "_0.txt",
it would cause outputs files can not match label files,
rename and remove "_0" could fix it.
'''
file_names = os.list... | Ascend/ModelZoo-PyTorch | ACL_PyTorch/built-in/nlp/Bert_Base_Chinese_for_Pytorch/downstream_tasks/sentiment_classification/get_om_result.py | get_om_result.py | py | 1,988 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number"... |
27173946133 | from datetime import datetime
import json
from time import sleep
from typing import Dict, List, Optional, Tuple, Union
from threading import Event, Thread
from argparse import ArgumentParser
import asyncio
import auraxium
from auraxium import ps2
import random
from constants import Team, Classes, MetagameEventType, M... | ps2alerts/tools | alert-sim/outfitwar_match.py | outfitwar_match.py | py | 25,901 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "service.Logger.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "service.Logger",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "constants.Faction.VS",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "con... |
43670755805 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets
from sklearn.linear_model import LogisticRegression
from scipy.special import expit
def generate_dataset():
iris = datasets.load_iris()
# petal length, petal width
X = iris['data'][:, [2... | vogdb/data-science-machine-learning-playground | hands_on_ml_ageron/04_logistic_regression.py | 04_logistic_regression.py | py | 2,316 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "sklearn.datasets.load_iris",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.int",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matplotlib... |
70889197665 | #!/usr/bin/env python3
'''
A URI Scheme for Denoting Hosts
'''
import logging
import urllib.parse
import re
class MoWN:
'''
Man o' War Notation. An arn compatible way to reference and store hosts in a system.
'''
_flavor_map = {"default" : {}}
_notetype = "mown"
def __init__(self, **kwarg... | chalbersma/manowar_agent | saltcell/mown.py | mown.py | py | 9,055 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.urlparse",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": ... |
38427544903 | import torch
from .base import EnergyFunction
class ActivityNeuron(EnergyFunction):
"""
Activity regularisation at the neuron level to avoid quiescent neurons as in Zenke (2021).
"""
def __init__(self, lamda=None, nu=None):
super().__init__()
self.lamda = lamda
self.nu = nu
... | smonsays/contrastive-meta-learning | metaopt_spiking/energy/regulariser.py | regulariser.py | py | 5,115 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "base.EnergyFunction",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.relu",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.relu",
"line_number... |
20333846322 | import pandas as pd
from statsmodels.tsa.seasonal import seasonal_decompose
import matplotlib.pyplot as plt
from statsmodels.tsa.stattools import grangercausalitytests
from statsmodels.tsa.stattools import adfuller
import numpy as np
from statsmodels.tsa.api import VAR
from statsmodels.tools.eval_measures import... | Glacestrom/IE2111-Forecasting-Electricity-Tariffs | IE2111 Project.py | IE2111 Project.py | py | 4,604 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DatetimeIndex",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "statsmodels.t... |
19350850385 | import json
import logging
import os
from typing import Dict, Optional, Iterable
import jsonschema
import yaml
from .artifact import ArtifactDefinition, make_artifact
from .variables import KnowledgeBase
from .definitions import OS_TYPES
LOGGER = logging.getLogger(__name__)
class Registry:
def __init__(self):... | forensicanalysis/pyartifacts | pyartifacts/registry.py | registry.py | py | 2,938 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "artifact.ArtifactDefinition",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Opti... |
24375552438 | import logging
from ucloud.core import exc
from ucloud.client import Client
import json
logger = logging.getLogger("ucloud")
logger.setLevel(logging.WARN)
import re
import requests
# 从config文件导入public_key 和private_key
from config import *
from loguru import logger
# 不需要备份的DBId
exclude_DBId_list = [
... | lious68/udb_equipment | do_backup_udb.py | do_backup_udb.py | py | 4,514 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.WARN",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ucloud.client.Client",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ucloud.core.ex... |
2574955854 | __author__ = 'Michael Maeder'
__date__ = "04.10.2021"
__version__ = "1.1"
__email__ = "michael.maeder@hefr.ch"
__userid__ = "michael.maeder"
import cv2
import numpy as np
import urllib.request
URL = 'https://assets.pokemon.com/assets/cms2/img/pokedex/detail/'
def download_image(img_nbr: int, path: str, verbose_pri... | simbarras/heia | GL/concurp-student-labs/lab01/src/getpokemon.py | getpokemon.py | py | 1,920 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 31,
"usage_type": "name"
},
{
"api_nam... |
32661118278 | from keras.preprocessing.image import img_to_array
from keras.models import load_model
import numpy as np
import imutils
import pickle
import cv2
import os
image = cv2.imread("examples/madhavi.jpeg")
print(image)
output = imutils.resize(image,width=400)
print (output)
image = cv2.resize(image, (96, 96))
image = image.a... | karthiksmash/Biometric-Identification-Using-Dental-Radiographs | classify.py | classify.py | py | 886 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "imutils.resize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.img_to_... |
75127341023 | import cv2 # cvzone==1.5.6
import os
from pathlib import Path
from ffpyplayer.player import MediaPlayer
def find_the_video(file_name, directory_name):
files_found = []
for path, subdirs, files in os.walk(directory_name):
for name in files:
if(file_name == name):
file_path =... | fabiovsn/easyVideoPlayer | main.py | main.py | py | 1,558 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.walk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 27... |
71101294944 | import backtrader as bt
class SmaCross(bt.Strategy):
params = dict(
pfast=10, # period for the fast moving average
pslow=30 # period for the slow moving average
)
def __init__(self):
sma1 = bt.ind.SMA(period=self.p.pfast) # fast moving average
sma2 = bt.ind.SM... | gitwalter/stock_market_dashboard | strategy/SmaCross.py | SmaCross.py | py | 757 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "backtrader.Strategy",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "backtrader.ind.SMA",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "backtrader.ind",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "backtr... |
26559009448 | import torch.nn as nn
# Init NN model
class BasicClassifier(nn.Module):
def __init__(self,input_dim,output_dim):
super(BasicClassifier, self).__init__()
self.input_layer = nn.Linear(input_dim,128)
self.hidden_layer1 = nn.Linear(128,64)
self.output_layer = nn.Linear(64,output_di... | player1s/Enhance-MI-Speller | model.py | model.py | py | 563 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
71042069342 | from django.shortcuts import render,get_object_or_404
from webmash.models import Category,AboutUs,Post,PostTags,Writer
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from random import shuffle
from django.http import HttpResponse,JsonResponse
from webmash import serializers
def main(re... | GAGANsinghmsitece/Blog_Backend_Django | webmash/views.py | views.py | py | 5,445 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "webmash.models.Post.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "webmash.models.Post.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "webmash.models.Post",
"line_number": 9,
"usage_type": "name"
},
{
... |
1311844883 | import logging
from django.db.models import Q
from app_public.models import Doctor, Patient, Speciality, DoctorGroup, WorkPlace, Location
from app_public.app.Configuration import FILE_HANDLER
logger = logging.getLogger("django")
logger.setLevel(logging.INFO)
def search_doctor_by_name(search_text):
q_req = Q()
... | Jorgemarquez2222-zz/test | app_public/app/search.py | search.py | py | 1,658 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models.Q",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.db.models... |
44933110934 | import argparse
import time
import os
import requests
import json
import xlsxwriter
from requests_toolbelt.multipart.encoder import MultipartEncoder
parser = argparse.ArgumentParser(description='scan through all apks and produce excel output')
parser.add_argument("-p", required=True, type=str, help="Path to the APK fo... | mahchiahui/Android-Thesis | Identify_Permissions/scan.py | scan.py | py | 3,075 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
7994272942 | import os
import argparse
import time
import cv2
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import argrelextrema
parser = argparse.ArgumentParser('Extract mp4 key frame and extract smiley face feature')
parser.add_argument('--video_path', required=False, type=str, default='./video5.mp4',
... | dayHRResearch/VideoCover | thrid_party/keyframe_extract/keyframes_extract_diff.py | keyframes_extract_diff.py | py | 4,309 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists"... |
9413707879 | import argparse
import sys
import Levenshtein
from . import doc_split, usage, version
from .barcode import all_barcodes, filter_distance, filter_stretches
def make_barcodes(length, max_stretch, min_dist, distance):
"""Make a set of barcodes, filter them for mononucleotide stretches and for
distances with ot... | jfjlaros/barcode | barcode/cli.py | cli.py | py | 3,829 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "barcode.filter_distance",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "barcode.filter_stretches",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "barcode.all_barcodes",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
8669234293 | import requests
from flask import Flask, render_template, request
app = Flask(__name__)
# Endpoint for all available jobs
@app.route('/')
def postings():
url = 'https://jobs.github.com/positions.json'
r = requests.get(url).json()
jobs = []
for json in r:
curr_job = {
'description': ... | tong0x/github-jobs | app.py | app.py | py | 1,564 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
... |
37879731874 | from functools import singledispatchmethod
from abc import ABC
class Edu(ABC):
...
class Duduzinho(Edu):
...
class Pessoa:
def __init__(self) -> None:
self._status = "ok"
@singledispatchmethod
def chamei(self, p):
raise NotImplementedError("Opa, caiu na genérica")
@chame... | vcwild/python-lives | partial/singledispatcher.py | singledispatcher.py | py | 429 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "abc.ABC",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.singledispatchmethod",
"line_number": 18,
"usage_type": "name"
}
] |
18915019276 | import logging
import os
import shutil
import stat
import tarfile
import re
from concurrent.futures import ProcessPoolExecutor
from sos.utilities import file_is_binary
# python older than 3.8 will hit a pickling error when we go to spawn a new
# process for extraction if this method is a part of the SoSObfuscationAr... | sosreport/sos | sos/cleaner/archives/__init__.py | __init__.py | py | 15,162 | python | en | code | 470 | github-code | 7 | [
{
"api_name": "tarfile.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numbe... |
44789849457 | from django.urls import path
from .views import *
urlpatterns = [
path('',index,name='index'),
path('contactus/',contact,name='contact'),
path('stock/',stock,name='inventory'),
path('stockdb/',dbstock,name='db stock'),
path('home/',home,name='home'),
] | Harsh-shah10/Django-practise | p1/home/urls.py | urls.py | py | 258 | python | en | code | 0 | github-code | 7 | [
{
"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",
... |
35207117252 | import numpy as np
from graphviz import Digraph
from typing import List, Optional, Union
class MarkovModel:
def __init__(self, transition_matrix: Optional[np.ndarray] = None, initial_probabilities: Optional[np.ndarray] = None, states: Optional[List[str]] = None) -> None:
self.states = states
self.... | AkiRusProd/numpy-markov-model | src/mm.py | mm.py | py | 3,801 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.Optional",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.allclose",
"lin... |
28986831285 | from collections import namedtuple
from . import bitstream
from .grid_types import BlockType
import enum
class PsuedoPipType(enum.Enum):
ALWAYS = 'always'
DEFAULT = 'default'
HINT = 'hint'
def read_ppips(f):
ppips = {}
for l in f:
l = l.strip()
if not l:
continue
... | SymbiFlow/prjuray-tools | prjuray/tile_segbits.py | tile_segbits.py | py | 4,946 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "grid_types.BlockType.CLB_IO_CLK",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_nam... |
41740449317 | from flask import Flask
import datetime
app = Flask(__name__)
@app.route('/')
def today_datetime():
now = datetime.datetime.now()
#today = datetime.date.today()
now = now.strftime("%Y年%m月%d日 %H時%M分%S秒")
return f"Hello, 現在の日時は {now}です。 How are you?"
@app.route('/app')
def hoge_world():
return 'Hel... | aono0aono/flask_helloworld_multistagebuild | app/src/app.py | app.py | py | 411 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
}
] |
26500856877 | from django.shortcuts import render
from django.shortcuts import render, redirect
from customer.forms import CustomerForm
from customer.models import Customer
def cust(request):
if request.method == "POST":
form = CustomerForm(request.POST)
if form.is_valid():
cid =... | Vrishab11/task_PFB | task/ecommerce/customer/views.py | views.py | py | 1,436 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "customer.forms.CustomerForm",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "customer.forms.CustomerForm",
"line_number": 20,
"usage_type": "call"
},
{
... |
23063943406 | import sys
import itertools
from operator import itemgetter
input_test = """x=495, y=2..7
y=7, x=495..501
x=501, y=3..7
x=498, y=2..4
x=506, y=1..2
x=498, y=10..13
x=504, y=10..13
y=13, x=498..504"""
def parse_coord(c):
name, range_ = c.split('=')
range_ = tuple(map(int, range_.split('..')))
return (na... | abeutot/advent_of_code_2020 | year_2018/day_17/test_main.py | test_main.py | py | 4,338 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "operator.itemgetter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "itertools.co... |
23668104017 | # !/usr/bin/env python3
# coding=utf-8
from datetime import datetime
from utils.db import db_query
from utils.config import Config
PAGE_SIZE = Config.get('danmaku.page_size')
RANK_SIZE = Config.get('danmaku.rank_size')
async def query_danmaku_rank_by_date(room_id, current_date=datetime.now()):
sql = F"""
... | retroxz/HinamoeBot | plugins/danmaku/model.py | model.py | py | 1,407 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "utils.config.Config.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "utils.config.Config",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "utils.config.Config.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "util... |
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