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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6507125015 | from django.db import models
from applications.locations.models import Location
class Schedule(models.Model):
id = models.BigAutoField(
primary_key=True,
verbose_name='Id Horario'
)
location = models.ForeignKey(
Location,
verbose_name='Sede',
null=False,
o... | chpenaf/DotSportsBackend | applications/schedule/models.py | models.py | py | 2,611 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.BigAutoField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name"... |
34416507045 | from setuptools import setup, find_packages
with open('requirements.txt') as f:
reqs = f.read().split()
with open('README.md') as f:
readme = f.read()
setup(
name='trackthenews',
version='0.1.9.1',
description='Monitor RSS feeds for keywords and act on matching results. A special project of the F... | fakebenjay/trackthenews-lefty | setup.py | setup.py | py | 1,096 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 32,
"usage_type": "call"
}
] |
2228623411 | '''
module to load yolov5* model from the ultralytics/yolov5 repo
'''
import torch
from src.core.logger import logger
def load_model(model_repo: str = "ultralytics/yolov5", model_name: str = "yolov5s6"):
"""
It loads the YOLOv5s model from the PyTorch Hub
:return: A model
"""
try:
device =... | TYH71/gradio-ml-skeleton | src/model/yolov5.py | yolov5.py | py | 814 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.hub.load",... |
9307549467 |
from logger import logger
from io import StringIO, BytesIO # python3; python2: BytesIO
from datetime import datetime
import boto3
def s3_client_init():
client = boto3.client('s3')
return client
def dataframe_to_s3(s3_client, input_datafame, bucket_name, format='parquet'):
logger.info(f"Writing {for... | caiolauro/flix-twitter-data-elt | twitter_api/s3_writer.py | s3_writer.py | py | 945 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logger.logger.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logger.logger",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
... |
38957829610 | from socketio.namespace import BaseNamespace
from socketio.sdjango import namespace
from csvapp.pubsub import subscribe, unsubscribe
@namespace('/csv')
class CSVNamespace(BaseNamespace):
def disconnect(self, *args, **kwargs):
super(CSVNamespace, self).disconnect(*args, **kwargs)
unsubscribe(
... | iamjem/django-csvapp | project/csvapp/sockets.py | sockets.py | py | 947 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "socketio.namespace.BaseNamespace",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "csvapp.pubsub.unsubscribe",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csvapp.pubsub.subscribe",
"line_number": 16,
"usage_type": "call"
},
{
... |
26355881815 | # this is nima nikrouz's midterm project
#=============================================library=====================================================
from tabulate import tabulate
#=============================================library=====================================================
#==============================... | nimankz/8queen-project | midterm1.2.py | midterm1.2.py | py | 11,209 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tabulate.tabulate",
"line_number": 144,
"usage_type": "call"
}
] |
1802990089 | '''
Simple calculator functions
Lucas
09.05.2021
'''
import colorama
# adds two numbers
def add(x, y):
return x + y
# subtracts two numbers
def subtract(x, y):
return x - y
# multiplies two numbers
def multiply(x, y):
return x * y
# divides two numbers
def divide(x, y):
return x / y
while (Tru... | TheLucas777/Python_HTLAnichstasse | programme/calc_functions.py | calc_functions.py | py | 2,893 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "colorama.Fore",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "colorama.For... |
7552302996 | # Covid Resistant Husky 3 - ADA price prediction
# import pip to install necessary libraries
import math
import pip
pip.main(['install', 'python-binance', 'pandas', 'scikit-learn', 'matplotlib', 'keras', 'tensorflow', 'plotly',
'mplfinance'])
from keras.losses import mean_squared_error
from matplot... | aayushi1903/Cryptocurrency-project | main2.py | main2.py | py | 10,855 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pip.main",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "talib.MACD",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "talib.MA",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "talib.MA",
"line_number": 48,
"us... |
23929041781 | # Asyncio Python 3.7+ package comparision with Javascript async
# by default operates in single thread and CPU core
# and schedules tasks as coroutines to run in an event loop
import asyncio
#import requests incompatible because does not return awaitable tasks
# pyenv exec pip install aiohttp
import aiohttp
from aioht... | simonc312/today-i-learned | Apache Spark/python/AsyncIO.py | AsyncIO.py | py | 2,148 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "asyncio.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "asyncio.gather",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
... |
13442681959 | # -*- coding: utf-8 -*-
"""Module containing network adapter for socket (asyncore.dispacher)."""
import logging
import socket
import struct
import asyncore
from collections import deque
from .. import connection, server, client
from .._utils import lazyproperty
_logger = logging.getLogger(__name__)
_conne... | Occuliner/ThisHackishMess | extern_modules/pygnetic/network/socket_adapter.py | socket_adapter.py | py | 5,296 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "struct.Struct",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "asyncore.dispatcher",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "asyncore.dis... |
39647933037 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# Author : Amir Shokri
# github link : https://github.com/amirshnll/Wine
# dataset link : http://archive.ics.uci.edu/ml/datasets/Wine
# email : amirsh.nll@gmail.com
# In[8]:
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selec... | semnan-university-ai/Wine | tree3.py | tree3.py | py | 1,118 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 52,
"usage_type": "call"
... |
5412752271 | """
Python script to scrape a web page for all email addresses
"""
from bs4 import BeautifulSoup
import requests
import requests.exceptions
from urllib.parse import urlsplit
import re
url1 = "http://www.rit.edu/gccis/computingsecurity/people-categories/faculty"
url2 = "https://www.rit.edu/its/about/staff"
# a set of... | ahadsheriff/security_suite | pentest_suite/beautiful_soup/email_regex/email_regex.py | email_regex.py | py | 1,136 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 28,... |
3045998741 | from fastapi import HTTPException, status
from app.v1.model.user_model import User as UserModel
from app.v1.schema import user_schema
from app.v1.service.auth_service import get_password_hash
from app.v1.service import registered_developers_service
from app.v1.schema.registered_developers_schema import RegisteredDeve... | marianamartineza/kunaisoft-database-CRUD-fastapi | app/v1/service/user_service.py | user_service.py | py | 7,752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.v1.schema.user_schema.UserRegister",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "app.v1.schema.user_schema",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "app.v1.model.user_model.User.filter",
"line_number": 13,
"usage_typ... |
74473926906 | from django.shortcuts import render, redirect
from .models import Diary
from datetime import datetime
import pytz
import json
diary_dict = {}
response ={}
def index(request):
diary_dict = Diary.objects.all().values()
if 'user_login' in request.session:
response['user_name'] = request.session['user_logi... | argaghulamahmad/ppw-lab-arga | lab_3/views.py | views.py | py | 1,230 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Diary.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Diary.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Diary",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "djang... |
7192437436 | import datetime
import hashlib
import json
import yaml
import flask.json
import shutil
import subprocess
import uuid
import zipfile
import click
import os
from flask.cli import AppGroup
import requests
from sqlalchemy.orm import load_only
from sqlalchemy.orm.exc import NoResultFound
from sqlalchemy.exc import Integr... | pebble-dev/rebble-appstore-api | appstore/commands.py | commands.py | py | 22,680 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "settings.config",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "algoliasearch.algoliasearch.Client",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "algoliasearch.algoliasearch",
"line_number": 30,
"usage_type": "name"
},
{
"ap... |
74537470908 | import numpy as np
import cv2
# 단일 채널 생성 및 초기화
m1 = np.full((3, 6), 10, np.uint8)
m2 = np.full((3, 6), 50, np.uint8)
m_mask = np.zeros(m1.shape, np.uint8) # 마스크 생성
m_mask[:, 3:] = 1 # 관심영역을 지정한 후, 1을 할당
m_add1 = cv2.add(m1, m2) # 행렬 덧셈
m_add2 = cv2.add(m1, m2, mask=m... | binlee52/OpenCV-python | ch05/04.arithmethic_op.py | 04.arithmethic_op.py | py | 772 | python | ko | code | 1 | github-code | 6 | [
{
"api_name": "numpy.full",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.full",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": ... |
43581170385 | from django.shortcuts import render
from .models import *
from django.http import HttpResponse
import json
from rest_framework import generics
from .serializers import *
# Create your views here.
def dashboard(request):
return render(request,"dashboard.html")
def department(request):
#department_list = Depart... | sanjaymehar/employee_management_system | emp/views.py | views.py | py | 12,083 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 33,
"usage_type": "call"
},
{
"api_name"... |
6812515285 | import logging
from scrim_bot.core.role import Role, RoleIsInvalid
logger = logging.getLogger(__name__)
class Player:
"""
Represents a player taking part in inhouse games
"""
_id: int
_name: str
roles: list[Role]
elo: float
summoner_name: str
def __init__(self, _id: int, name: ... | isvladu/inhouse-bot-lol | scrim_bot/core/player.py | player.py | py | 2,392 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "scrim_bot.core.role.Role",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "scrim_bot.core.role.Role.validateRole",
"line_number": 38,
"usage_type": "call"
},
{
"a... |
72908437948 | from odoo import models, fields, api, _
from odoo.exceptions import ValidationError
import logging
_logger = logging.getLogger(__name__)
class StudentTranscript(models.TransientModel):
_name = "student.transcript"
_description = "Student Transcript"
from_date = fields.Date(
'From Date'... | mrrtmob/odoo_acac | local-addon/pm_general/wizards/student_transcript_wizard.py | student_transcript_wizard.py | py | 5,635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "odoo.models.TransientModel",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.field... |
31127621657 | import numpy as np
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.batchnorm = nn.BatchNorm2d(3, affine=False)
self.pad2 = nn.ConstantPad2d(2, 0)
sel... | peinrules/Darin | GAME.py | GAME.py | py | 4,427 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
12950721382 | import matplotlib.pyplot as plt
import numpy as np
import scipy.optimize as spy
from . import AstroLib_Basic as AL_BF
################################################################################
# CREATE BODY WITH ITS CHARACTERISTICS
################################################################################... | veronicasaz/AstrodynamicsScripts | AstroLib_2BP.py | AstroLib_2BP.py | py | 26,889 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 114,
... |
42860322967 | #
#
# Font Lato https://fonts.google.com/specimen/Lato
# https://opengameart.org/content/4-chiptunes-adventure
#
# scanlines less mem
## https://www.reddit.com/r/pygame/comments/6yk6zk/least_memory_intensive_way_to_implement_scanlines/
# Not used:
# Audio Voices by MadamVicious (https://freesound.org/people/MadamViciou... | Sprachmensch/wordle_clone | wordle.py | wordle.py | py | 22,197 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "gamestate_manager.GamestateManager",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "settings.Settings",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "pyga... |
21884536797 | """Calculate the expected detection rates for apertif."""
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from frbpoppy import CosmicPopulation, Survey, SurveyPopulation, hist
from tests.convenience import plot_aa_style, rel_path
from alpha_real import EXPECTED, poisson_interval
N_DAYS = 1 #... | TRASAL/frbpoppy | tests/rates/apertif_dist.py | apertif_dist.py | py | 2,026 | python | en | code | 26 | github-code | 6 | [
{
"api_name": "frbpoppy.CosmicPopulation.complex",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "frbpoppy.CosmicPopulation",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "frbpoppy.Survey",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
12307666054 | """Utility script to be used to cleanup the notebooks before git commit
This a mix from @minrk's various gists.
"""
import time
import sys
import os
import io
try:
from queue import Empty
except:
# Python 2 backward compat
from Queue import Empty
try:
from ipyparallel import Client
except ImportErr... | ogrisel/parallel_ml_tutorial | ipynbhelper.py | ipynbhelper.py | py | 8,087 | python | en | code | 1,592 | github-code | 6 | [
{
"api_name": "Queue.Empty",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "IPython.nbformat.NotebookNode",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "IPython.nbformat",
"line_number": 99,
"usage_type": "name"
},
{
"api_name": "IPython.pa... |
41061175651 | import numpy as np
import torch
import torch.nn.functional as F
import torch.nn as nn
import os
import cv2 as cv
def rgb2gray(rgb):
'''
Transforms frame into a grayscale
Args:
rgb (numpy array) : numpy array grayscaled
'''
r, g, b = rgb[:,:,0], rgb[:,:,1], rgb[:,:,2]
gray = 0.2989 * ... | ylajaaski/reinforcement_env | src/utils.py | utils.py | py | 2,534 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.interpolate",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.nn... |
73732952507 | #!/usr/bin/env python
import requests
import base64
import random
import sys
def getPicText_bdOcr(pic_binary, type_index = 1):
'''
利用百度 ocr 接口识别文字
pic_binary 是图片文件的二进制数据
type_index 是百度提供的识别类型 0 表示一般识别， 1 表示精准识别
如果成功，则返回识别出的文字字符串
如果出错，则返回错误信息
'''
# 获取 appid 的 coo... | fkxxyz/fkxxyz-wechatRequestHandler | baiduOcr.py | baiduOcr.py | py | 2,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.post",
"lin... |
19105871775 | from datetime import datetime
from blockCountries import blockCountryList
def minOfGame(isPlaying,isBreak : bool, startPeriod :datetime, startGame :datetime):
'''
:param startPeriod: время начала периода
:param startGame: время начала игры
:return: minOfGame - минута игры, isBreak - перерыв
'''
... | AlexRechnoy/betBot | flashScoreFuncs.py | flashScoreFuncs.py | py | 3,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "blockCountri... |
19237958892 | import os
from war3structs.storage import MPQ
from .common import PipeTransformer
from ..liquid import Liquid
class MapExtractorPipe(PipeTransformer):
def gate(self, build, liquid):
map_liquids = []
map_path = os.path.join(build['etcdir'], 'temp%s' % liquid.name)
# Begin by writing the liquid's content... | sides/war3archiver | war3archiver/transformers/maps.py | maps.py | py | 856 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.PipeTransformer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "liquid.name",
"li... |
10420485791 | """
.. attribute:: whole_cache
Used when specifying the scope for a cache invalidation operation to
indicate that the whole cache should be cleared.
.. moduleauthor:: Martí Congost <marti.congost@whads.com>
"""
from typing import Iterable, Union
from cocktail.modeling import (
OrderedSet,
ListWrappe... | marticongost/cocktail | cocktail/caching/scope.py | scope.py | py | 1,282 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line... |
26627014986 | from django.db import models
from livesettings import config_value_safe, config_choice_values, SettingNotSet
def shipping_choices():
try:
return config_choice_values('SHIPPING','MODULES')
except SettingNotSet:
return ()
class ShippingChoiceCharField(models.CharField):
def __init__(self, ... | dokterbob/satchmo | satchmo/apps/shipping/fields.py | fields.py | py | 977 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "livesettings.config_choice_values",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "livesettings.SettingNotSet",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "attribute"
},... |
5648119133 |
import sys
from typing import List, Optional, Tuple
import unittest
def all_construct(target_string: str, strings: List[str], memo=None) -> List[List[str]]:
# Memo.
if memo is None:
memo = {}
if target_string in memo:
return memo[target_string]
# Base case.
if len(target_string) =... | bradtreloar/freeCodeCamp_DP_problems | problems/memoized/all_construct.py | all_construct.py | py | 2,426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.setrecursionlimit",
"line_number": 32,
"usage_type": "call"
}
] |
30138218135 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-03-19 10:49'
""" 演示 pre-request 框架如何使用长度校验，仅针对字符串有效
"""
from flask import Flask
from pre_request import pre, Rule
app = Flask(__name__)
app.config["TESTING"] = True
... | Eastwu5788/pre-request | examples/example_filter/example_length.py | example_length.py | py | 1,070 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pre_request.Rule",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pre_request.pre.catch",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pre_request.pre",
... |
36004397978 | import collections
class VigenereMethod:
_cipher = ""
def __init__(self, cipherText):
self._cipher = cipherText
def RunMethod(self):
cipher1 = self._cipher
letterFreq = [["A", 8.2], ["B", 1.5], ["C", 2.8], ["D", 4.2], ["E", 12.7], ["F", 2.2],
[... | dhjaekol/cybersecurity | Assignment1/VigenereMethod.py | VigenereMethod.py | py | 3,262 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 77,
"usage_type": "call"
}
] |
32249755158 | import streamlit as st
import altair as altc
import pandas as pd
import numpy as np
import os, urllib
from PIL import Image
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, BatchNormalization, Activation, Dense, Dro... | ajayjalluri/Drone-Data-Image-Segmentatation | app.py | app.py | py | 2,166 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.cache",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "u_net.build_unet",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.he... |
42197969651 | from django.urls import path
from .views import (
InvitiHome,
InvitoDetailView,
InvitoCreateView,
InvitoUpdateView,
InvitoDeleteView,
InvitiUtente,
PrenotazioniUtente,
InvitoPartecipa,
InvitiGenere,
InvitoRimuoviPartecipa,
InvitiFilterView,
GeneriFilterView,
About
)
... | lucacasarotti/CineDate | inviti/urls.py | urls.py | py | 1,830 | python | it | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.InvitiHome.as_view",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.InvitiHome",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.url... |
40592577580 |
from collections import Counter
import operator
st=input()
k=int(input())
omap=Counter(st)
a=sorted(omap.items(),key=operator.itemgetter(1))
i=0
while k>0 and i<len(a):
if a[i][1]<=k:
k-=a[i][1]
del omap[a[i][0]]
else:
omap[a[i][0]]-=k
k=0
i+=1
print(len(omap))
ans=""
for i ... | ku-nal/Codeforces | codeforces/102/C.py | C.py | py | 479 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 7,
"usage_type": "call"
}
] |
35787180481 | from starlette.responses import JSONResponse, FileResponse
from starlette.background import BackgroundTasks
from fastapi import APIRouter #, Form, File, UploadFile
# from model.classification_pylon.predict import main as pylon_predict
# from model.covid19_admission.predict_admission import main as covid_predict
import ... | mmkanta/fl-webapp-model | api/infer.py | infer.py | py | 2,542 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
6259690746 | from enum import Enum
import numpy as np
from collections import deque
import bisect
from numpy.core.numeric import array_equal
from graphics import GraphWin, Text, Point, Rectangle, Circle, Line, Polygon, update, color_rgb
# +-------+
# | 16 17 |
# | 18 19 |
# +-------+---... | danemo01/CS470 | HW4/rubik_lab_assignment_4.py | rubik_lab_assignment_4.py | py | 17,458 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "graphics.color_rgb",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "graphics.color_rgb",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "graphics.color_rgb",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "graphics.col... |
39242617287 | from torch import nn
import torch
from models.cotnet import CotLayer
class ChannelAttention(nn.Module):
def __init__(self,in_channels,reduction=16):
super(ChannelAttention,self).__init__()
self.attention = nn.Sequential(
nn.AdaptiveAvgPool2d(1),
nn.Conv2d(in_channels,in_ch... | ucaswangls/GAP-CCoT | models/basicblock.py | basicblock.py | py | 3,737 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
19400375604 | from time import sleep
import nmap
import nvdlib
from model.host import Host
from model.port import Port
from model.cve import *
class Scanner:
def __init__(self, network=None):
self._network = network
self._list_content_host = []
self._nmap = nmap.PortScanner()
def info_hosts_networ... | jonassantos1000/tcc | model/scanner.py | scanner.py | py | 4,245 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nmap.PortScanner",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nvdlib.searchCPE",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_n... |
71971104189 | import kfserving
import os
from typing import Dict
import torch
import importlib
import sys
PYTORCH_FILE = "model.pt"
class PyTorchModel(kfserving.KFModel):
def __init__(self, name: str, model_class_name: str, model_dir: str):
super().__init__(name)
self.name = name
self.model_class_name ... | kubeflow/kfserving-lts | python/pytorchserver/pytorchserver/model.py | model.py | py | 2,366 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "kfserving.KFModel",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cud... |
26383863194 | from typing import Tuple
import gym
import numpy as np
class PreprocessEnv(gym.Wrapper): # environment wrapper
def __init__(self, env, if_print=True):
self.env = gym.make(env) if isinstance(env, str) else env
super().__init__(self.env)
self.step = self.step_type
(self.env_name, s... | sbl1996/hrl | hrl/elegant/env.py | env.py | py | 2,648 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gym.Wrapper",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "gym.make",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_... |
4487190452 | """
Exam task 2 Binary Tree
"""
from collections import deque
from queue import Queue
class BinatyTree:
"""
Binary tree class with basic functional
Version with tree as node
with data, left and right children
"""
def __init__(self, data) -> None:
"""
Init root with default lef... | sviat-l/FP_Labs | Exam/Binary tree/binary_tree.py | binary_tree.py | py | 4,297 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "queue.Queue",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 120,
"usage_type": "call"
}
] |
4817221286 | import os
import threading
#Main function picture
from main_function_image import open_picture
from main_function_image import show_picture
from main_function_image import save_picture
from main_function_image import to_crop
from main_function_image import write_position
#Background
from picture_operation.... | LeGrosLezard/qu-est-ce-qu-il-y-a-dans-une-salle-a-manger- | v2/main.py | main.py | py | 10,897 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "main_function_image.open_picture",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "main_function_image.save_picture",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "picture_operation.background.main_background",
"line_number": 38,
"usag... |
42586362539 | """ Text Preprocessing """
import logging
import re
from functools import lru_cache
from multiprocessing import Pool
from typing import Optional, List
import numpy as np
import pandas as pd
import pymorphy2
from stop_words import get_stop_words
wcoll_morph: Optional[pymorphy2.MorphAnalyzer] = None
g_chunks: Optional[... | vlade89/agrohack2023 | lib/nlp_utils.py | nlp_utils.py | py | 2,935 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pymorphy2.MorphAnalyzer",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.L... |
16814344104 | #!/usr/bin/env python
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(name='overcooked_ai',
version='1.1.0',
description='Cooperative multi-agent environment based on Overcooked',
long_description=long_description,
long_des... | samjia2000/HSP | hsp/envs/overcooked_new/setup.py | setup.py | py | 1,135 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
25005216625 | import io
import typing
import random
import discord
import operator
import datetime
from config import config
from discord.ext import commands
from util.paginator import Pages
from util.converter import CaseInsensitiveRole, PoliticalParty, CaseInsensitiveMember
class Misc(commands.Cog, name="Miscellaneous"):
""... | DENE-dev/dene-dev | RQ1-data/exp2/114-jonasbohmann@democraciv-discord-bot-ae9b0558588ef6313477cfd58732ceec738dd706/module/misc.py | misc.py | py | 25,789 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
31299469552 | from django.test import TestCase, Client
from django.urls import reverse
from ecomapp.models import Category, Product, CartItem, Cart, Order, Brand
class TestModels(TestCase):
def setUp(self):
self.category1 = Category.objects.create(
name = 'category1',
slug = 'category-1'
)
self.brand1 = Bran... | hussienalhaj/alhajjj | djangoshop/ecomapp/tests/test_models.py | test_models.py | py | 2,992 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "ecomapp.models.Category.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ecomapp.models.Category.objects",
"line_number": 9,
"usage_type": "attribute"
... |
38831014944 | from keras.callbacks import Callback
from keras import backend as K
from keras.utils import to_categorical
from sklearn.metrics import roc_auc_score
import os
import matplotlib.pyplot as plt
import shutil
import numpy as np
class PerSubjAucMetricHistory(Callback):
"""
This callback for testing model on each su... | bkozyrskiy/NN_hyperopt_search | my_callbacks.py | my_callbacks.py | py | 3,918 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.callbacks.Callback",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 29,
"usage_type": "call"
},
{
"ap... |
41382929279 | from typing import Callable
from dataclasses import dataclass
import pandas as pd
from hvac import Quantity
from hvac.fluids import HumidAir
from hvac.climate import ClimateData
from hvac.climate.sun.solar_time import time_from_decimal_hour
from ..core import (
ExteriorBuildingElement,
InteriorBuildingElement,
... | TomLXXVI/HVAC | hvac/cooling_load_calc/building/space.py | space.py | py | 37,323 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "hvac.Quantity",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "hvac.Quantity",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "hvac.Quantity",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "hvac.Quantity",
"line_n... |
10035856253 | """Training script for End-to-end visuomotor controllers."""
import argparse
import os
from stat import ST_CTIME
import shutil
import re
import json
import pprint
import tensorflow as tf
from data.geeco_gym import pickplace_input_fn
from models.e2evmc.estimator import e2evmc_model_fn, goal_e2evmc_model_fn
from model... | ogroth/geeco | scripts/train_e2evmc.py | train_e2evmc.py | py | 12,436 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.e2evmc.estimator.e2evmc_model_fn",
"line_number": 135,
"usage_type": "name"
},
{
"api_name": "models.e2evmc.estimator.goal_e2evmc_model_fn",
"line_number": 136,
"usag... |
22497784287 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
class Recipe:
db = "login_and_registration"
# db should = your schema
def __init__(self, data):
self.id = data['id']
self.names = data['names']
self.descriptions = data['descriptions']
self... | tsu112/login_and_registration | flask_app/models/recipe.py | recipe.py | py | 2,869 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",... |
21980018417 | import base64
import hashlib
import time
import requests
import tkinter as tk
from tkinter import filedialog
import json
##################
"""
手写文字识别WebAPI接口调用示例接口文档(必看):https://doc.xfyun.cn/rest_api/%E6%89%8B%E5%86%99%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB.html
图片属性：jpg/png/bmp,最短边至少15px，最长边最大4096px,编码后大小不超过4M,识别文字语... | shang-jun123/purchase_management | mepms/ui/ocr_fuction.py | ocr_fuction.py | py | 3,697 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_n... |
31651316167 | #! /usr/bin/python
from getRoomKitData import send_command, data_to_dict, dict_to_json, start_connect
from dotenv import load_dotenv
import os
load_dotenv()
def get_xconfig(session):
command = "xConfiguration\r"
commandTrimmed = "xConfiguration"
data = send_command(session, command)
# with open('./cal... | ingenium21/getRoomKitData | getRoomKitConfiguration.py | getRoomKitConfiguration.py | py | 590 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "getRoomKitData.send_command",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "getRoomKitData.data_to_dict",
"line_number": 14,
"usage_type": "call"
},
{
"api_nam... |
14418643616 | from django.db.models import fields
from django.shortcuts import render
from django.views.generic import ListView,DetailView,CreateView,UpdateView,DeleteView,RedirectView
from .models import Post
from .forms import PostForm,EditForm
from django.urls import reverse_lazy
# Create your views here.
#def home(request... | AniketShukla14/Interlink_platform | ablog/Theblog/views.py | views.py | py | 1,272 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.Post",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.views.generic.DetailView",
"line_number": 19,
"usage_type": "name"
},
{
"api_nam... |
26224854603 | #!/usr/local/bin/python3.7
import cv2
import numpy as np
img = cv2.imread("../test_pic.jpg")
kernel = np.ones((2, 2), np.uint8)
imgCanny = cv2.Canny(img, 100, 200)
imgErosion = cv2.erode(imgCanny, kernel, iterations=1)
cv2.imshow("Edge detection", imgCanny)
cv2.imshow("Erosion Fix", imgErosion)
cv2.waitKey(0) | smoonmare/object_50071 | open_cv/chapter-2/chapter_2_5.py | chapter_2_5.py | py | 313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line_number": 8,... |
72496080189 | """TestProject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | Rahmet97/TestProjectBackend | TestProject/urls.py | urls.py | py | 2,302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "drf_yasg.views.get_schema_view",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi.Info",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": ... |
15107122264 | import unittest
import time
from BeautifulReport import BeautifulReport
from base.web_driver import browser
from config.setting import logging
from util.send_email import inser_img,get_time
now = time.strftime("%Y-%m-%d %H_%M_%S")
class StartEnd(unittest.TestCase):
name=''
@classmethod
def setUpClass(cls... | newcaolaing/web_auto | test_case/model/myunit.py | myunit.py | py | 1,237 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "time.strftime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "base.web_driver.browser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.se... |
14522883806 | #!/usr/bin/env python3
from flask import Flask, Response, request
from flask_cors import CORS
from PIL import Image
from rembg import new_session, remove
import io
app = Flask(__name__)
CORS(app)
@app.post('/api/rem-bg')
def remBg():
auth = request.headers.get('Authorization', None)
if not auth or not auth.s... | EasySnacks/remove-background-api | main.py | main.py | py | 1,193 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.headers.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.hea... |
33957213827 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 3 17:53:18 2022
@author: yiann
"""
import pandas as pd
import pytz
# eisagwgh tou arxeiou ston kwdika
data_file='Solar_1min_2021.txt'
df=pd.read_csv(data_file, index_col=[0], usecols=[0,6], sep=',', header=None,
parse_dates=True, na_values='"NAN"')
df.columns=['... | ikaitsas/Irradiance-QC-UP | oldstuff/prospathw_na_allaksw_timezones.py | prospathw_na_allaksw_timezones.py | py | 730 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
"line... |
27894174453 | import sys
import collections
#sys.setrecursionlimit(100001)
# bfs로 동작하는 코드: 정확성은 맞지만 시간초과
def bfs_find_root():
while queue:
root = queue.popleft()
for child in tree[root]:
if not visited[child]:
output[child] = root
queue.append(child)
... | SheepEatLion/Algorithms | tree_baekjoon_11725.py | tree_baekjoon_11725.py | py | 1,547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin.readline",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readlin... |
32610163975 | from mercurial import archival, cmdutil, commands, extensions, filemerge, hg, \
httprepo, localrepo, merge, sshrepo, sshserver, wireproto
from mercurial.i18n import _
from mercurial.hgweb import hgweb_mod, protocol, webcommands
from mercurial.subrepo import hgsubrepo
import overrides
import proto
def uisetup(ui):... | Anderson-Lab/Learn2Mine-Main | galaxy-dist/eggs/mercurial-2.2.3-py2.7-macosx-10.6-intel-ucs2.egg/hgext/largefiles/uisetup.py | uisetup.py | py | 6,985 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "mercurial.extensions.wrapcommand",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mercurial.extensions",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mercurial.commands.table",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
34829704572 | # -*- coding: utf-8 -*-
"""
animation of global earthquakes locatiopns from 2000-2019
plotted annually
"""
import numpy as np
import matplotlib as plt
from mlp_toolkit.basemat import Basemap as Basemap
#===================================================
# files and parameters
#===... | patrickward110/Astro-199 | Astro119/In Class/Wk 3/global earthquakes.py | global earthquakes.py | py | 1,406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"li... |
18101466174 | from functools import cache
from tkinter import W
from typing import List, Tuple
from unittest import TestCase, main
class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
len_x, len_y = len(matrix[0]), len(matrix)
@cache
def dfs(x: int, y: int):
... | hirotake111/leetcode_diary | leetcode/search_2d_matrix_II/solution.py | solution.py | py | 1,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "functools.cache",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_... |
8631487904 | import codecs
import yaml
from typing import Optional
from alert_autoconf.models import Alerts
CLUSTER_NAME_PLACEHOLDER = "{cluster}"
def read_from_file(filename: str, cluster_name: Optional[str]) -> Alerts:
"""
Читает данные из конфиг файла
:param filename: имя файла
:return: словарь конфигурации... | avito-tech/alert-autoconf | alert_autoconf/config.py | config.py | py | 2,092 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "codecs.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "alert_autoconf.models.Alerts",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "yaml.load",
... |
9021010670 | import json
import time
import datetime
import requests
urla = input("请输入要查询的hash值：")
urlb = "https://apilist.tronscan.org/api/transaction-info?hash="
url = urlb + urla
resp = requests.get(url,verify=False)
#print(f"当前状态为：{resp}")
resp_dict = resp.json()
#print(resp_dict.keys())
print( )
pepo = resp_dict[... | dirb-cll/Odin | tronscan_api.py | tronscan_api.py | py | 1,270 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 32,
"usage_type": "call"
}
] |
24793906303 | #!/usr/bin/env python3
import argparse, re
from sys import exit
from os import path
def getCombLayerObject(cell):
"""Return CombLayer object name based on its cell number"""
fname = "ObjectRegister.txt"
if not path.isfile(fname):
fname = path.join("case001", fname);
if not path.isfile(fname)... | kbat/mc-tools | mctools/common/CombLayer/getcell.py | getcell.py | py | 1,577 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "os.path.isfile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
... |
35971477802 | from Tkinter import *
import tkMessageBox
import tkFont
import ttk
import RPi.GPIO as GPIO
import time
import serial
import threading
import Queue
#Start Serial Communication with Arduino Mega in another thread
ser = serial.Serial ("/dev/ttyS0",9600)
GPIO.setmode(GPIO.BOARD)
GPIO.setup(38, GPIO.OUT)
GPIO.setup(37, G... | mschweig/mechatronicPlayground | gui.py | gui.py | py | 3,256 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_nu... |
73891294909 | #!/usr/bin/python3
# -*- coding: UTF-8 -*-
# feature: 30天内加速度;创业板，中小板，白马
import re
import json
import requests
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import statsmodels.api as sm
import statsmodels.formula.api as smf
import statsmodels.graphics.api as smg
import time
headers = {'Accept... | SoyM/fin | test.py | test.py | py | 7,933 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 60,
... |
19528126460 | # coding=utf-8
from __future__ import division
from design.MainData import MainData
from canvas import *
from algorithm import *
from PyQt5.QtCore import Qt
from PyQt5.QtGui import (QIcon, QFont)
from PyQt5.QtWidgets import (qApp,
QAction,
QComboBox,
... | zhaicao/pythonWorkspace | Pyqt5Practice/design/app.py | app.py | py | 50,611 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "design.MainData.MainData",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow.__init__",
"line_number": 40,
"usage_type": "call"
},
... |
74926945466 | """
Does the work to translate colour/effect names to ANSI codes
"""
# std libs
import numbers
import functools as ftl
# third-party libs
import numpy as np
from matplotlib.colors import to_rgb
# local libs
from recipes.dicts import ManyToOneMap
# relative libs
from .ansi import parse
# source: https://en.wikipe... | astromancer/motley | src/motley/codes.py | codes.py | py | 11,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "recipes.dicts.ManyToOneMap",
"line_number": 193,
"usage_type": "name"
},
{
"api_name": "recipes.dicts.ManyToOneMap",
"line_number": 211,
"usage_type": "name"
},
{
"api_name": "functools.singledispatch",
"line_number": 250,
"usage_type": "attribute"
},
{... |
15505226126 | # Author: Lane Moseley
# Description: This file demonstrates the usage of the custom logistic regression
# module implemented in the ML library.
# Resources Used:
# Fish Dataset:
# Included with the project, but also available from Kaggle:
# https://www.kaggle.com/aungpyaeap/fish-ma... | lanemoseley/ml-library | logisticRegression.py | logisticRegression.py | py | 4,735 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
74432954107 | from . import views
from django.conf.urls import url, include
urlpatterns = [
url(r'^new$', views.add_new_user),
url(r'^new/process$', views.add_new_user_p),
url(r'^edit$', views.edit_user),
url(r'^edit/process', views.edit_user_p),
url(r'^edit/(?P<u_id>\d+)$', views.edit_user_by_id),
url(r'^ed... | EmilChoparinov/Message-Posting-Website | apps/user_app/urls.py | urls.py | py | 495 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
36187285700 | from dataclasses import dataclass
import pytest
from pydantic import ValidationError, Json, BaseModel
from typing import Optional
from qwery import Model, Query, JSONB
class ExampleModel(Model):
class Meta:
table_name = "test"
a: int
b: Optional[str]
c: bool
def test_compile_select_query():... | uplol/qwery | qwery/test_qwery.py | test_qwery.py | py | 3,862 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "qwery.Model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "qwery.Query",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "qwery.Query",
"line_number... |
27625720407 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# In[2]:
import cv2
import numpy as np
import easyocr
import matplotlib.pyplot as plt
# In[3]:
im_1_path = '/Users/abrahamkom/Groupe 3IL 📖/Test/folder/permis4.jpg'
im_2_path = '/Users/abrahamkom/Groupe 3IL 📖/Test/folder/PERMIS.jpg'
print(im_1_path)
# <h1 ... | viannprems99/projet_ocr | old_test.py | old_test.py | py | 1,182 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "easyocr.Reader",
"line_number": 33,
"usage_type": "call"
}
] |
21888978054 | import os
import combat.combat_core as com
import factory.factory_core as fty
import config.config_core as cfg
import expedition.expedition_core as exp
import fleet_switcher.fleet_switcher_core as fsw
import fleet.fleet_core as flt
import nav.nav as nav
import pvp.pvp_core as pvp
import quest.quest_core as qst
import r... | XVs32/kcauto_custom | kcauto/startup/kcauto.py | kcauto.py | py | 13,568 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "util.kca.kca.hook_chrome",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "util.kca.kca",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "util.kca",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "util.kca.kca.star... |
43394887837 | #!/usr/bin/env python3
"""
zbdump.py
"""
import logging
import subprocess
import sys
import time
import asyncio
from typing import Any, Optional, Union
from scapy.all import Dot15d4FCS # type: ignore
import scapy.all as sp
import datetime as dt
_LOGGER = logging.getLogger(__name__)
logging.basicConfig(level=loggi... | antonio-boiano/IoTScent | core/zbdump.py | zbdump.py | py | 10,906 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "subprocess.c... |
73733786108 | # views.py
import os
from flask import Flask, request, render_template, flash, redirect, url_for, get_flashed_messages, session, abort
from .forms import LoginForm, RegistrationForm, ShoppingListForm, additemsForm
from . import app
from app.modals import User
@app.route('/', methods= ['GET', 'POST'])
def index():
... | Basemera/trailapp | app/views.py | views.py | py | 4,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.redirect"... |
42649106860 | """
Crawls through the 'source' source and looks for labels starting with 'rancon'.
If such a label is found on a service, then it will register the service in the
'backend'. If the backend supports tag all services will be tagged 'rancon'.
depending on the backend the registration behavior can be influenced by tags
s... | flypenguin/python-rancon | rancon/__init__.py | __init__.py | py | 5,424 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "asyncio.set_event_loop_policy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "uvloop.EventLoopPolicy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sanic.Sanic",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sani... |
10251169117 | import argparse
import os
import pandas as pd
import json
from pandas.core.frame import DataFrame
from fol.foq_v2 import (concate_n_chains, copy_query,
negation_sink,
binary_formula_iterator,
concate_iu_chains,
decompose_D... | HKUST-KnowComp/EFO-1-QA-benchmark | append_new_normal_form.py | append_new_normal_form.py | py | 2,720 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fol.foq_v2.decompose_D",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "fol.foq_v2.parse_formula",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
13703412898 | # pybutton
# create at 2015/5/28
# autor: qianqians
from tools import argv_instance, tuple_rbg
from pyelement import pyelement
class pybutton(pyelement):
def __init__(self, text, cname, layout, praframe):
# when normal
self.normaltext = text
self.type = "button"
super(pybutton, self).__init__(cname, layout,... | theDarkForce/plask | plask/pybutton.py | pybutton.py | py | 2,060 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pyelement.pyelement",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tools.tuple_rbg",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "tools.tuple_rbg",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "tools.tuple_rbg",
... |
8022084480 | import jieba
from flask import Flask,render_template,request
from peewee import fn
from wordcloud import WordCloud
from src.database import User,Weibo
from src.save import save_user,save_weibo
from src.spider import getuser, getresponse,getweibo
from flask_paginate import get_page_parameter, Pagination
app = Fl... | zuoqian26/weibo_monitor-2.0 | app.py | app.py | py | 4,736 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "src.database.User.select",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.database.User",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "src.database.We... |
34867843324 | import unittest
from hamcrest import assert_that, instance_of, equal_to, raises, calling
from app.exiftool.s3.object import Object
from app.exiftool.s3.object_iterator import ObjectIterator
from tests.config import Config as TestConfig
class TestS3ObjectIterator(unittest.TestCase):
def setUp(self) -> None:
... | zpieslak/exiftool-aws-lamdba | tests/s3/test_object_iterator.py | test_object_iterator.py | py | 1,358 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tests.config.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.exiftool.s3.object_iterator.ObjectIterator",
"line_number": 16,
"usage_type": "call"
},
... |
73401806269 | import torch
from colorama import Fore as F
def train_step(model, loss_fn, acc_fn, optimizer, dataloader, epochs):
"""
Trains a model for a binary classification task, calculating both loss and accuracy
Args:
model: the model that will be trained
loss_fn: loss function, should be BCEWithLog... | PopeCorn/myr | code/functions.py | functions.py | py | 2,782 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.sigmoid",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore.BLUE",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "colorama.For... |
72612835709 | import pytest
from tast5_1 import Task5
import logging
@pytest.mark.parametrize('filename, content',
[
('1.txt', 'a\n'),
('2.txt', 'b\n'),
('3.txt', 'c\n'),
('4.txt', 'd\n'),
... | fedepacher/Wazuh-Test | Task_5/test_case_51.py | test_case_51.py | py | 591 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tast5_1.Task5",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"... |
13914688192 | import oneflow as flow
from .recurrent import rnn
def _FullyConnected(input_blob, weight_blob, bias_blob):
output_blob = flow.matmul(input_blob, weight_blob)
if bias_blob:
output_blob = flow.nn.bias_add(output_blob, bias_blob)
return output_blob
class SimpleRNNCell:
def __init__(self, ... | Oneflow-Inc/oneflow_nlp_model | nlp_ops/rnn/simple_rnn.py | simple_rnn.py | py | 5,227 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "oneflow.matmul",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "oneflow.nn.bias_add",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "oneflow.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "oneflow.math",
"l... |
8320607344 | import urllib.request
import http.cookiejar
import urllib.parse
from bs4 import BeautifulSoup
import os
from People import People
import queue
import io
import gzip
import time
def config_init():
"""initial configuration"""
cookie = http.cookiejar.CookieJar()
cookie_support = urllib.request.HTTPCookieProces... | zhibzeng/PythonCode | zhihuCrawler.py | zhihuCrawler.py | py | 4,001 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "http.cookiejar.cookiejar.CookieJar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "http.cookiejar.cookiejar",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "http.cookiejar",
"line_number": 13,
"usage_type": "name"
},
{
"a... |
72318397308 | import sys
sys.path.append("../SimpleNN")
"""SingleNN potential."""
from fp_calculator import set_sym, calculate_fp
from NN import MultiLayerNet
import torch
from torch.autograd import grad
from Batch import batch_pad
import time
import numpy as np
import pickle
from ase.data import chemical_symbols, atomic_numbers
f... | lmj1029123/SGCMC_Acrolein_AgPd | ML_Models/SNN.py | SNN.py | py | 17,775 | python | en | code | 2 | 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": "ase.calculators.calculator.Calculator",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "ase... |
24512155771 | import asyncio
from django.core.cache import cache
from apps.integration.models import KotakNeoApi as KotakNeoApiModel
from apps.integration.utils import divide_and_list, get_option_ltp
from apps.integration.utils.broker.dummy import DummyApi
from apps.integration.utils.broker.kotak_neo import KotakNeoApi
from apps.t... | finbyz/trading_child | apps/trade/strategies/__init__.py | __init__.py | py | 8,566 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "apps.trade.models.DeployedOptionStrategy",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.core.cache.cache.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 33,
"usage_type": "name"
... |
42136460155 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
simlen = 10000
pX = pY = np.ones(6)
pX = pY = pX/6
pZ = np.array([ 1/36, 2/36, 3/36, 4/36, 5/36, 6/36, 5/36, 4/36, 3/36, 2/36, 1/36 ])
possible = np.arange(1,7)
possible_Z = np.arange(2, 13)
X= np.random.choice(possible, simle... | gadepall/digital-communication | ncert/12/13/1/10/codes/die_sim.py | die_sim.py | py | 2,541 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "numpy.ones",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 1... |
24547935454 | #!/usr/bin/env python3
import sqlalchemy as sa
import sqlalchemy.exc
import sys
from contextlib import contextmanager
from pathlib import Path
import click
import csv
sys.path.append('tm_navigator')
from tm_navigator.models import *
engine = sa.create_engine('postgresql+psycopg2://postgres@localhost/tm_navigator')
sa... | aplavin/tm_navigator | db_manage.py | db_manage.py | py | 10,341 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm... |
30367879511 | from numpy import linspace, sin
from enable.api import ColorTrait, marker_trait
from chaco.api import ArrayPlotData, Plot
from enable.api import ComponentEditor
from traits.api import HasTraits, Instance, Int
from traitsui.api import Group, Item, View
class ScatterPlotTraits(HasTraits):
plot = Instance(Plot)
... | enthought/chaco | examples/tutorials/scipy2008/traits_example.py | traits_example.py | py | 1,759 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "chaco.api.Plot",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "enable.ap... |
43066420004 | import tflearn as tl
import numpy as np
import os,glob,cv2
import sys,argparse
from read_image import read_valid_image
import tensorflow as tf
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data , dropout, fully_connected
# from tflearn.layers.estimator import regression
im... | Eniyanilavan/DogCatIdentification-tensorflow-python | predict1.py | predict1.py | py | 2,021 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "read_image.read_valid_image",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.real... |
40110954603 | import os
import random
from urllib.parse import quote
from typing import List, Optional
from dataclasses import dataclass, field
from enum import Enum
from jinja2 import Template
SEAT_NUMBER_MAX_LENGTH = 3
# ascii characters are prohibited :D
ru_alphabet_lower = 'абвгдеёжзиклмопрстуфхцчшщэюя'
names = ['Сергій', 'І... | Tehtehteh/loner-bot | src/bot/models/train_order.py | train_order.py | py | 2,648 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"... |
30418545772 |
from ete3 import Tree , TreeStyle , NodeStyle , faces , AttrFace
import csv
#t = Tree("(A:1,(B:1,(E:1,D:1):0.5):0.5);" )
#t.render("mytree.png", w=183, units="mm")
t = Tree("(0);" )
all_orgs = []
with open('testlineage.csv') as csvfile:
reader = csv.DictReader(csvfile)
for org in reader:
all_orgs.ap... | cgnitash/ded | dedli/pylin.py | pylin.py | py | 2,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ete3.Tree",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ete3.NodeStyle",
"line_num... |
34852034193 | from pyspark.context import SparkContext
import itertools
import collections
from collections import Counter
import time
from operator import add
import os
import sys
def gencomb(freqitem,lenfreqitem):
cand= []
for x in range(0,lenfreqitem-1):
first = freqitem[x]
firstelem = sorted(first)
... | malika-seth/Spark-Data-Mining | HW2_SON_Frequent_Itemsets/malika_seth_task2.py | malika_seth_task2.py | py | 7,640 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "co... |
14448481028 | from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.utils.dummy_pt_objects import PreTrainedModel
from transformers.data.processors.utils import InputExample, InputFeatures
from .prompts import TemplateGenerator, VerbalizerGenerator
from openprompt import PromptDataLoader, PromptForClassi... | jiachenwestlake/PDA | openprompt/lm_bff_trainer.py | lm_bff_trainer.py | py | 8,021 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "transformers.data.processors.utils.InputExample",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name"... |
72255301308 | from __future__ import annotations
import asyncio
import datetime
import re
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
import discord
from dateutil.parser import parse
from discord.ext import commands, menus
from discord.ext.commands import Paginator as CommandPaginator
from ..helpers import ... | LeoCx1000/fish | src/utils/discord_/paginator.py | paginator.py | py | 13,193 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "discord.ButtonStyle",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "discord.ButtonStyle",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name":... |
40744293644 | import chess
import math
def scoreCalcBasic(board: chess.Board):
currentScore = 0
for i in range(1,7):
if i == 1:
currentScore += len(board.pieces(i, chess.COLORS[0]))
if i == 2:
currentScore += 3*len(board.pieces(i, chess.COLORS[0]))
if i =... | azkung/AI_Chess_5.5 | python/bots/bot_basic.py | bot_basic.py | py | 3,043 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "chess.Board",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "chess.COLORS",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "chess.COLORS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "chess.COLORS",
... |
22624757619 | from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import absolute_import
from builtins import * # NOQA
from future import standard_library
standard_library.install_aliases()
import chainer
from chainer import functions as F
import numpy as np... | pfnet-research/capg | clipped_gaussian.py | clipped_gaussian.py | py | 3,811 | python | en | code | 28 | github-code | 6 | [
{
"api_name": "future.standard_library.install_aliases",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "future.standard_library",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "chainer.Variable",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
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