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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17760743772 | # -*- coding: utf-8 -*-
import sqlite3
from sys import exc_info
import io
import os
class bancoDeDados:
''' Classe para banco de dados mysql'''
def __init__(self, nome='itsm.sqlite3'):
self.nome, self.conexao = nome, None
def conecta(self):
'''Metodo para conectar'''
self.conexao ... | mborcari/catalogitsm | sqllite.py | sqllite.py | py | 3,566 | python | pt | code | 1 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_nu... |
13274028217 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# The address of the metadata server
SERVER_IP = "128.2.204.215"
# The port of the metadata server
SERVER_PORT = 8080
# the path to the input file
ipath = '/Users/gxchris/Desktop/m.csv'
# the path to the output file
opath1 = '/Users/gxchris/Desktop/meta_user.csv'
opath... | gxchris95/se4ai | Movie Recommender.py | Movie Recommender.py | py | 6,355 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "kafka.KafkaConsumer",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "whylogs.get_or_create_session",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "os.... |
28325933975 | import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
t = np.arange(0, np.pi * 10, 0.01)
x = t * np.cos(t)
y = t * np.sin(t)
plt.plot(x, y, color="blue")
plt.grid(True)
plt.show()
| ayoshimatsu/geometry_test | interpolation_book/parametric_spline3/archimedean.py | archimedean.py | py | 230 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.arange",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 7,
... |
44763687342 | import pygame
from pygame.locals import *
from cmath import *
import math
import sys
import time
#Inicialização de todos os módulos
pygame.init()
pygame.mixer.pre_init(44100, -16, 2, 2048)
pygame.mixer.init()
pygame.mixer.music.load('tokyo.wav')
pygame.mixer.music.play(-1)
pygame.font.init()
my_font = pygame.font.get_... | MzGrisotti/carroPy | carro.py | carro.py | py | 8,812 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.pre_init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.init"... |
2447684780 | import os
import random
import time
import pytest
from set_top_box.test_settings import Settings
from set_top_box.client_api.VOD.conftest import *
from set_top_box.client_api.Menu.conftest import setup_cleanup_parental_and_purchase_controls, setup_enable_video_window
from set_top_box.client_api.my_shows.conftest impo... | ErnstXperi/ErnstXperi | tests/test_witbe_vod.py | test_witbe_vod.py | py | 3,055 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pytest.skip",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pytest.mark.timeout",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "set_top_box.test_set... |
3519353876 | """
383.赎金信
https://leetcode.cn/problems/ransom-note/
给你两个字符串：ransomNote和magazine，
判断ransomNote能不能由magazine里面的字符构成。
如果可以，返回true；否则返回false。
magazine中的每个字符只能在ransomNote中使用一次。
"""
import collections
def canConstruct(self, ransomNote: str, magazine: str) -> bool:
if set(ransomNote) > set(magazine):
... | Sihan-A/LeetCode-questions-Python | leetcode-easy/0383-ransom-note.py | 0383-ransom-note.py | py | 715 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 17,
"usage_type": "call"
}
] |
74140380159 | import pandas as pd
import matplotlib.pyplot as plt
xrd = pd.read_csv('LCCu1.txt', skipinitialspace=True, skiprows=134)
xrd.dropna(axis=1, inplace=True)
fig, ax = plt.subplots()
ax.plot(xrd['Angle'], xrd['Det1Disc1'], label='experimental data')
plt.legend()
plt.show()
| cfilomeno/Tutoriais | Tutorial Jupyter Notebook/notebook/fitdrx.py | fitdrx.py | py | 272 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
1473452783 | import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
from sklearn.linear_model import LinearRegression
from statsmodels.stats.diagnostic import linear_rainbow
from scipy.stats import shapiro
from sklearn.model_selection import train_test_split
f... | Alyssasorensen/datasci_7_regressions | regression_simple.py | regression_simple.py | py | 2,687 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 34,
"usage_type": "call"
... |
38505808575 | import math
import re
from gavo.utils import codetricks
from gavo.utils import excs
from gavo.utils import mathtricks
from gavo.utils import misctricks
from gavo.utils.mathtricks import DEG
_TRAILING_ZEROES = re.compile("0+(\s|$)")
def removeTrailingZeroes(s):
"""remove zeroes in front of whitespace or the string en... | brianv0/gavo | gavo/utils/pgsphere.py | pgsphere.py | py | 10,708 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gavo.utils.excs.ExecutiveAction",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "gavo.utils.excs",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "re.co... |
69954575039 | #!/usr/bin/env python
# coding: utf-8
# # 控制论
# ## 实数域的微分方程
# In[1]:
import sympy as sp
from sympy.abc import t
# In[2]:
f = sp.Function('f')(t)
A, B = sp.symbols('A B')
equ0 = sp.Eq(sp.Derivative(f, t, 2), A * f + B * sp.Derivative(f, t, 1))
display(equ0)
result0 = sp.dsolve(equ0, f)
display(result0)
M, N = ... | ColorlessBoy/hemingwei | hemingway/_build/jupyter_execute/notes/taste_controller.py | taste_controller.py | py | 3,098 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sympy.abc.t",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "sympy.Function",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sympy.Eq",
"line_num... |
31428558450 | from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.service import Service
from selenium.common.exceptions import NoSuchElementException,ElementClickInterceptedException
import pan... | freckledMe/web_scraping | scripts/gazeta_uz.py | gazeta_uz.py | py | 2,021 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
... |
792702631 | import pygame
import random
pygame.init()
WIDTH = 500
HEIGHT = 500
BG_COLOR = (125, 125, 125)
RED = (255, 0, 0)
ORANGE = (255, 125, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
YELLOW = (255, 255, 0)
COLORS = [RED, ORANGE]
FPS = 60
screen = pygame.display.set_mode((WIDTH, HEIGHT))
clock = pygame.time.C... | eliyahumasinter/classic-brick | brick.py | brick.py | py | 4,935 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
20524081243 | import pytest
from io import BytesIO
from flask_annex import Annex
from .helpers import AbstractTestAnnex, assert_key_value, get_upload_info
# -----------------------------------------------------------------------------
@pytest.fixture
def file_annex_path(tmpdir):
return tmpdir.join("annex").mkdir().strpath
... | 4Catalyzer/flask-annex | tests/test_file.py | test_file.py | py | 2,306 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "helpers.AbstractTestAnnex",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask_annex.Annex",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytes... |
42041552648 | from django import template
from django.utils.translation import ugettext as _
from django.utils import safestring
from django.template.defaultfilters import stringfilter
import re
import random
import json as jsonlib
register = template.Library()
@register.filter
def likerttext(value):
likertdict = { -3: "Strong... | govtrack/govtrack.us-web | website/templatetags/govtrack_utils.py | govtrack_utils.py | py | 3,766 | python | en | code | 350 | github-code | 97 | [
{
"api_name": "django.template.Library",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 32,
"usage_type": "call"
},
{
"api_name"... |
1715033690 | """
Constants values used in schemas functions.
"""
import pulp as pl
from ortools.sat.python import cp_model
STRING_TYPE = "String"
BOOLEAN_TYPE = "Boolean"
INTEGER_TYPE = "Integer"
FLOAT_TYPE = "Float"
BASIC_TYPES = [STRING_TYPE, BOOLEAN_TYPE, INTEGER_TYPE, FLOAT_TYPE]
JSON_TYPES = {
"string": STRING_TYPE,
... | baobabsoluciones/cornflow-client | cornflow_client/constants.py | constants.py | py | 3,211 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "ortools.sat.python.cp_model.OPTIMAL",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "ortools.sat.python.cp_model",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "ortools.sat.python.cp_model.FEASIBLE",
"line_number": 75,
"usage_typ... |
40099832670 | from __future__ import absolute_import, division, print_function
import argparse
from Datasets.datasets import get_dataset
import datetime
from Other.utility_functions import str2bool, particle_tracing
from Models.models import load_model, create_model, save_model
import torch
import torch.optim as optim
import torch.d... | skywolf829/NeuralStreamFunction | Code/train.py | train.py | py | 12,332 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
26108542717 | """
This file contains the code to do the calculation.
Each resolver receives a model and outputs the calculated result, which can
be a model or just a matrix.
"""
from datetime import date, datetime
import pandas as pd
import warnings
import numpy as np
import os
import sys
import re
import matplotlib.pyplot as plt
f... | Johnlky/DC-Boxjelly | app/core/resolvers.py | resolvers.py | py | 22,148 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.CategoricalIndex",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "os.path... |
26758928227 | # encoding=utf-8
import os
import web
import xtemplate
import xutils
import xconfig
C_TEMPLATE = """
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
int main(int argc, char* argv) {
printf("hello,world!");
return 0;
}
"""
class TccHandler:
def GET(self):
args = web.input(code=None, jso... | gotonking/miniNote | handlers/tools/tools.py | tools.py | py | 1,555 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "web.input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "xconfig.TMP_DIR",
"line_numbe... |
73771376957 | # coding=utf-8
from models import Lesson, Homeworkcommit, Course, Studentcourse, Coursehomework
from school.models import Student
from constant import *
from django.http import HttpResponse
from django.core.urlresolvers import reverse
from django.shortcuts import redirect, render
import json
from course.auth import has... | xiaohuanshu/OpenCLMS | course/control.py | control.py | py | 6,925 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "models.Lesson.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Lesson.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Lesson",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "co... |
262565416 | import logging
from . import logger, verify_apps, run, vbox
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('apps', nargs='+')
args = parser.parse_args()
handler = logging.StreamHandler()
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
logg... | autumnjolitz/virtualboxapp | virtualboxapp/__main__.py | __main__.py | py | 596 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "loggi... |
16606959688 | from ..utils import *
from ..trainval import manage_dirs_drybean
from .ax import AugEplanation, compute_co_score, softmax
DEBUG_TOGGLES = {
'val_iter': 0,
'vis_iter': 0,
}
import warnings
warnings.filterwarnings('ignore')
# remove warning about captum removing forward, backward hooks
def ax_drybean_test(darg... | ericotjo001/explainable_ai | gax/src/axpackage/ax_drybean.py | ax_drybean.py | py | 3,210 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "trainval.manage_dirs_drybean",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "other_data.DryBeanDataset",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
12665439879 | from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from flask_login import UserMixin
from flask_dance.consumer.backend.sqla import OAuthConsumerMixin
Base = declarative_ba... | FerasAloudah/fsnd-catalog-app | create_database.py | create_database.py | py | 1,519 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_login.UserMixin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
... |
14405778418 | # -*- coding: utf-8 -*-
"""
Module provides game itself. \n
It is enough to execute main to get game working\n
"""
import random as r
import time
from random import shuffle
from typing import List
import numpy
import pygame
from pygame.math import Vector2
from scipy.interpolate import interp1d
from background import... | kornel45/rocket_game | game.py | game.py | py | 24,893 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rocket.Rocket",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "background.Background",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pygame.Surface",
... |
24537313763 | from typing import Callable, List, TypeVar
StringFunc = Callable[[], str]
T = TypeVar('T')
Constructor = Callable[[], T]
def get(of: Constructor[T], *,
stdin: StringFunc = input,
strip: bool = True) -> T:
"""Get value of type 'of' from 'stdin'."""
raw_input = stdin().strip() if strip else std... | ansonmiu0214/dsa-worked-solutions | solutions/utils/io.py | io.py | py | 727 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.Callable",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_n... |
36375266736 | import numpy as np
import matplotlib.pyplot as plt
from copy import deepcopy
class MotionPrimitive():
"""
A motion primitive that defines a trajectory from a over a time T.
Put functions that all MPs should have in this base class.
If the implementation is specific to the subclass, raise a NotImplem... | ljarin/dispersion_motion_planning | motion_primitives_py/motion_primitives_py/motion_primitive_types/motion_primitive.py | motion_primitive.py | py | 6,415 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
18428584647 | import logging
import os
import datetime
import socket
import copy
from stellar_base.keypair import Keypair
from ..design import Node
log = logging.getLogger(__name__)
def subparser(subparser):
parser = subparser.add_parser(
'fix-design',
help='fix the incorrect design',
)
parser.set_d... | spikeekips/stellar-nice-body | src/tnb/command/fix_design.py | fix_design.py | py | 1,001 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "design.Node.get_defaults_design",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "desig... |
12270114788 | # Exercise: Convolution and ReLU
# Introduction
# In this exercise, you'll work on building some intuition around feature extraction.
# irst, we'll walk through the example we did in the tutorial again, but this time, with a kernel you choose yourself.
# We've mostly been working with images in this course, but what... | vbloise3/kaggle | exercise-Convolution-and-ReLU.py | exercise-Convolution-and-ReLU.py | py | 7,282 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "learntools.core.binder.bind",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "learntools.core.binder",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
5902166604 | import sqlite3
from som_logg import (LoginCreate, Prof, helper)
conn = sqlite3.connect('sample.db')
cur = conn.cursor()
cur.execute('''CREATE TABLE IF NOT EXISTS users(login TEXT, pasw TEXT, alternative TEXT)''')
conn.commit()
cmd = input('Введите команду, которую хотите использовать: \n')
command_dict = {'/help': h... | ar4angeel/try_logg | info_inside.py | info_inside.py | py | 711 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "som_logg.helper",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "som_logg.LoginCreate",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "som_logg.Prof",
... |
23757227169 | # mod parser 3d-news for TorrentPier-II 2.1.5 alpha
# ver 1.0 by dr_brown
from urllib.request import Request, urlopen
from urllib.error import HTTPError
from urllib.parse import quote
from bs4 import BeautifulSoup
from time import sleep
import pymysql.cursors
import urllib
import time
import re
'''If use... | DrBrown777/parser3dnews | main.py | main.py | py | 5,869 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "pymysql.cursors.cursors",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pymysql.cursors",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.connect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "... |
38234530099 | import numpy as np
from sklearn.metrics import jaccard_similarity_score
import os
from os import listdir
from os.path import isfile, join
import cv2
def load_image(img_org,INPUT_SIZE):
h, w, c = img_org.shape
img = cv2.resize(img_org, (INPUT_SIZE, INPUT_SIZE))
img = np.array(img, dtype=np.float32)
x = ... | guybenyosef/densecrf_rnn | deepLabV2/eval_output.py | eval_output.py | py | 1,755 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.resize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.expand_dims",
"li... |
29048158619 | import os
import hashlib
import argparse
# Grab command line arguments for directory and signature file
parser = argparse.ArgumentParser()
parser.add_argument('--directory', '-d', help="The directory to scan for viruses in", required=True)
parser.add_argument('--signatures', '-s', help="The signature file", required... | priyjan5/A-Simple-Virus-Scanner-in-Python | scanner.py | scanner.py | py | 1,062 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
72901673920 | #####################################################
# Introspective Variational Autoencoder Config File #
#####################################################
# A Brock, 2016
import numpy as np
import matplotlib.pyplot as plt
from keras.utils.visualize_util import plot
from keras.models import Model
from keras impo... | hope-yao/VAE_SAL | 3DVAE_config.py | 3DVAE_config.py | py | 14,749 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "keras.backend.image_dim_ordering",
"line_number": 44,
"usage_type": "call"
},
{
... |
73189923840 | # -*- coding: utf-8 -*-
import serial.tools.list_ports as ports
import subprocess
import argparse
import psutil
import yaml
import os
def get_com_by_sn(serial = ''):
com_ports = list(ports.comports())
for i in com_ports:
if serial == '' or serial == i.serial_number:
return i.device
def ge... | filcuk/PyHelpers | deej_helper/deej_helper.py | deej_helper.py | py | 2,412 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "serial.tools.list_ports.comports",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "serial.tools.list_ports",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "serial.tools.list_ports",
"line_number": 13,
"usage_type": "name"
},
{
"... |
39966935826 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('vegetation', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='vegetationstate',
na... | inmagik/greenmanager | greenmanager/vegetation/migrations/0002_auto_20140716_1421.py | 0002_auto_20140716_1421.py | py | 874 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
26318263234 | from __future__ import annotations
import asyncio
import contextlib
from concurrent.futures.thread import ThreadPoolExecutor
from functools import partial
from typing import Optional, AsyncGenerator, Union
from typing_extensions import Literal
from serial import Serial, serial_for_url # type: ignore[import]
Timeout... | Opentrons/opentrons | api/src/opentrons/drivers/asyncio/communication/async_serial.py | async_serial.py | py | 5,178 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "typing.Union",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Literal",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optiona... |
70732742400 | # Problem 54 - Poker Hands
#The file, poker.txt, contains one-thousand random hands dealt to two players.
# Each line of the file contains ten cards (separated by a single space):
# the first five are Player 1's cards and the last five are Player 2's cards.
# You can assume that all hands are valid (no invalid chara... | Frederik-N/projecteuler | problem54/problem54.py | problem54.py | py | 8,489 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name"... |
30925595654 | # Databricks notebook source
# MAGIC %pip install pydantic
# COMMAND ----------
from pydantic import BaseSettings
class Settings(BaseSettings):
SPARK_MASTER: str = "local[*]"
AZURE_ACC_1: str = ""
AZURE_CLIENT_ID_1: str = ""
AZURE_CLIENT_SECRET_1: str = ""
AZURE_TENANT_ID_1: str = ""
AZU... | 4dori/Data-Engineering | module_2/Spark_Databricks/notebooks/MetadataCreate.py | MetadataCreate.py | py | 5,659 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pydantic.BaseSettings",
"line_number": 7,
"usage_type": "name"
}
] |
72714866558 | # Adds support for obtaining property types from docstring signatures, and
# improves formatting by PyProperty of type annotations.
import re
from typing import Tuple, Optional, List
import docutils.nodes
import docutils.parsers.rst.directives
import sphinx.addnodes
import sphinx.domains
import sphinx.domains.python
... | ep-infosec/50_google_tensorstore | docs/tensorstore_sphinx_material/sphinx_material/autodoc_property_type.py | autodoc_property_type.py | py | 2,515 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sphinx.addnodes.ext",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sphinx.addnodes",... |
70825552639 | from numpy import genfromtxt
import numpy as np
import matplotlib.pyplot as plt
import glob, os, shutil
#
os.chdir("C:\\RugJelmertModelingOutput\\test\\")
cities = ["1x10_ingroup.half","1x10_ingroup"]
#cities = ["heerde","diemen","schiedam","emmen","breda","groningen","almere","rotterdam"]
#cities = ["01_Heerde","02... | foarsitter/master-thesis | Python/line.py | line.py | py | 2,207 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.chdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 18,
"usag... |
32123770074 | from flask import Flask, request, make_response, abort, Response
from flask_cors import cross_origin
import json
from redis import Redis
import boto3
import botocore
from config import S3_BUCKET
from tasks import makePacket
app = Flask(__name__)
app.config.from_object('config')
redis = Redis()
@app.route('/')
de... | datamade/metro-pdf-merger | app.py | app.py | py | 1,956 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.abort",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "deployment.DEPLOYMENT_ID",
"l... |
43023833046 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import subprocess
from sys import platform
import sys
import requests
import gzip
import shutil
import os.path
# Credit goes to Sumit Ghosh: https://sumit-ghosh.com/articles/python-download-progress-bar/
def download(url, filename):
with open(filename, 'wb') as f:
... | ycm-core/lsp-examples | crystal/install.py | install.py | py | 3,274 | python | en | code | 76 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
... |
24524286133 | import openpyxl
def dataGenerator():
wb = openpyxl.load_workbook("/Users/navaneeth/Downloads/Flightz.xlsx")
sh = wb['Sheet1']
row = sh.max_row
outer_list =[]
inner_list = []
for i in range(1, row+1):
inner_list = []
source = sh.cell(i,1)
destination = sh.cell(i,2)
... | Navaneeth311/DataDrivenFramework | DataGeneraator/DataGen.py | DataGen.py | py | 469 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 5,
"usage_type": "call"
}
] |
5690770262 | from django.http.response import HttpResponse
from rest_framework.response import Response
from rest_framework.decorators import api_view
from .serializers import TasksSerializer
from .models import Tasks
# Create your views here.
@api_view(['GET'])
def apiOverview(request):
api_urls = {
'List':'/task-list/',
... | AshutoshMaleti/DRF-CRUD-api | base/views.py | views.py | py | 1,470 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Tasks.objects.all",
"line_number": 24,
"usage_type": "call"
... |
4523659923 | #! /usr/bin/env python
from __future__ import print_function
import os
import sys
import logging
import argparse
sys.path.append(
os.path.realpath(
os.path.join(
os.path.dirname(__file__),
"..")))
from mykatlas.version import __version__
from mykatlas.base import ArgumentParserWi... | Phelimb/atlas | mykatlas/atlas_main.py | atlas_main.py | py | 8,067 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
24998794023 | from pip._vendor import pkg_resources
from jupyter_client.kernelspecapp import KernelSpecManager
from pip._vendor import pkg_resources
from ipykernel.kernelspec import install
class Kernel():
def __init__(self):
location = None
for pkg in pkg_resources.working_set:
if pkg.project_name ... | as-sher/nbschedule | nbschedule/worker/_kernel.py | _kernel.py | py | 880 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pip._vendor.pkg_resources.working_set",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pip._vendor.pkg_resources",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "jupyter_client.kernelspecapp.KernelSpecManager",
"line_number": 17,
... |
32032487614 | import requests
from homeBlogData import extractBlogData
from singleTableDataExtraxtor import tableDataExtractor
from singleXpathDataExtractor import extractSinglePath
def getHomeBlogData(key, content, pathData, finalResult):
print(pathData)
if pathData.get('blogMainDivPath') and pathData.get('blogPath... | dsairam143/webscrapingFramework | xpathsDataExtractor/runDataExtractor_V1_1.py | runDataExtractor_V1_1.py | py | 3,196 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "homeBlogData.extractBlogData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "singleTableDataExtraxtor.tableDataExtractor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "singleXpathDataExtractor.extractSinglePath",
"line_number": 16,
"... |
2233246011 | from abc import abstractmethod, ABCMeta
from django.utils.functional import cached_property
from typing import List, Optional
from usaspending_api.common.etl.postgres.etl_object_base import ETLObjectBase
from usaspending_api.common.etl.postgres.primatives import ColumnOverrides, DataTypes, KeyColumns
class ETLWritabl... | fedspendingtransparency/usaspending-api | usaspending_api/common/etl/postgres/etl_writable_object_base.py | etl_writable_object_base.py | py | 3,685 | python | en | code | 265 | github-code | 97 | [
{
"api_name": "usaspending_api.common.etl.postgres.etl_object_base.ETLObjectBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
}... |
35704582488 | import pyodbc
import unittest
from RentRepository import *
from Rent import *
class RentRepositoryTests(unittest.TestCase):
def test_Save_Rent(self):
cnxn = pyodbc.connect(
'DRIVER={ODBC Driver 17 for SQL Server};SERVER=USER-KOMPUTER\SQLEXPRESS;DATABASE=BikeRents;Trusted_Connection=yes')
... | orzecheudezet/BikeRentDB | Tests/TestRentRepository.py | TestRentRepository.py | py | 833 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyodbc.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 22,
"usage_type": "call"
}
] |
33167013991 | import requests
import json
import pandas as pd
import numpy as np
main_link = 'http://ws.audioscrobbler.com/2.0/'
api_key = '2f02c90c31c2e91b33a8ced8162ec51e'
headers = {'user-agent': 'GeekBrains'}
params = {
'api_key': api_key,
'method': 'chart.gettopartists',
'format': 'json',
'page': 1
}
get_link =... | roknikrol/GeekBrains_data_parsing | Lesson_1/lesson_1_Last_FM_API.py | lesson_1_Last_FM_API.py | py | 1,256 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number... |
4843974362 | from PySide6.QtCore import Slot
from data.ui.widgets.shikimori import Ui_Form
from nlightreader.consts import LibList
from nlightreader.dialogs import FormAuth
from nlightreader.items import Manga, User
from nlightreader.parsers import ShikimoriLib
from nlightreader.utils import translate
from nlightreader.widgets.Nli... | brandonzorn/Nlight | nlightreader/widgets/NlightTemplates/Shikimori.py | Shikimori.py | py | 2,861 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "nlightreader.widgets.NlightTemplates.BaseWidget.MangaItemBasedWidget",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "data.ui.widgets.shikimori.Ui_Form",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nlightreader.widgets.NlightContainers.mang... |
20381715641 | import numpy as np
import matplotlib.pyplot as plt
class HMM():
def __init__(self):
pass
def train(self, pi, A, B):
self.pi = pi
self.A = A
self.B = B
def setO(self, O):
self.O = O
self.K = self.O.shape[0]
def setI(self, I):
self.I = ... | baowj-678/Machine-Learning | Hidden Markov Model/HMM.py | HMM.py | py | 6,977 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "numpy.dot",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.multiply",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number"... |
7965937328 | import gi
import pathlib
from ventanagrafico import VentanaGrafico
from nuevo_simulacion import ejecutar
import matplotlib.pyplot as plt
gi.require_version(namespace='Gtk', version='4.0')
gi.require_version(namespace='Adw', version='1')
from gi.repository import Adw, Gtk, Gio, Pango, GObject
Adw.init()
def crear_gr... | ricardomacaya/proyecto-programacion | proyecto programacion/nuevo_main.py | nuevo_main.py | py | 5,515 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "gi.require_version",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gi.repository.Adw.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gi.reposit... |
144985560 |
import numpy as np
import matplotlib.pylab as plt
import torch
from torch.nn import functional as F
xs = np.asarray([[-10], [-8], [-6], [-4], [-2], [0], [2], [4], [6], [8], [10]])
ys = 0.5 * xs + 7
xs = np.hstack((xs, np.ones([xs.shape[0], 1])))
xs = torch.tensor(xs).float()
ys = torch.tensor(ys).float()
ins = 1... | bluescreen/diy-gpt | nn1.py | nn1.py | py | 987 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.asarray",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number"... |
17290607093 | # -*- coding: utf-8 -*-
import wx
def click_b1(event):
frame.SetStatusText('clicked')
frame.Refresh()
frame.Update()
application = wx.App()
frame = wx.Frame(None, wx.ID_ANY, u"results", size=(900, 600), pos=(0, 0))
frame.CreateStatusBar()
frame.SetStatusText("python-izm.com")
#icon = wx.Icon("./Analize... | f3rctokyo/Recorder | Analizer/visualize.py | visualize.py | py | 1,810 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "wx.App",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wx.ID_ANY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.Notebook",
"line_number": 19,
... |
71427160000 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 11 23:40:28 2021
@author: EmilioMartinez
"""
import os
import tweepy
import pandas as pd
# Authenticate to Twitter
twitter_authentication = tweepy.OAuthHandler("API Key",
"API Secret") #API Key, API Secret are generated
twitter_authentic... | EmilioCMartinez/TwitterBot | TermSearch.py | TermSearch.py | py | 1,345 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"... |
11157159616 | import argparse
import os
import readline
import sys
from optparse import make_option
from time import sleep, time
import etcd3
import grpc
import requests
from cmd2 import Cmd, options
from consul import Consul
from google.protobuf.empty_pb2 import Empty
from simplejson import dumps
from cli.device import DeviceCli
... | opencord/voltha | cli/main.py | main.py | py | 34,455 | python | en | code | 77 | github-code | 97 | [
{
"api_name": "voltha.protos.third_party",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ.g... |
20499190706 | import numpy as np
import sys
import csv
import matplotlib.pyplot as plt
def print_hi(name):
# Use a breakpoint in the code line below to debug your script.
print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint.
def printPic(x,y,name):
plt.title('pic')
colors=['red','yellow','green','blue','c... | DevilInChina/Bench_Scripts | drawer/draw.py | draw.py | py | 1,128 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "m... |
29152498339 | from pyspark.sql import SparkSession
from pyspark.sql import Row
spark = SparkSession.builder.appName('filter-example').getOrCreate()
sc = spark.sparkContext
sc.setLogLevel("ERROR")
def run():
print()
student = spark.createDataFrame([
Row(name='Song', subject='English', term='Spring', score=80),
... | BigMountainTiger/aws-terraform-examples | glue-example/local-example/pyspark/dataframe/e-repartition-coalesce.py | e-repartition-coalesce.py | py | 1,565 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 4,
"usage_type": "... |
73045185919 | import numpy as np
import matplotlib.pyplot as plt
#data generation
X1, Y1 = np.random.multivariate_normal([4,4], [[1,0], [0, 1]], 100).T
X2, Y2 = np.random.multivariate_normal([-3,3], [[1.5,0], [0, .5]], 100).T
X3, Y3 = np.random.multivariate_normal([0,-3], [[1,0], [0, .75]], 100).T
X = np.append(X1, X2)
X = np.app... | jrexmo/K-Means | K-means.py | K-means.py | py | 2,023 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 7,
"usage_type": "call"
},
{
"... |
27841881921 | from datetime import datetime
import pykrige
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.metrics import mean_squared_error
import h5py
import xarray as xr
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sk... | big-data-lab-umbc/big-data-reu | 2023-projects/team-1/Model Used/statistical approaches/UK_FirstPass_Final.py | UK_FirstPass_Final.py | py | 11,535 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
20934316955 | import unittest
from mock import patch, MagicMock
from rawes.elastic import Elastic
from requests.models import Response
from rawes.http_connection import HttpConnection
class TestConnectionPooling(unittest.TestCase):
"""Connection pooling was added on top of Rawes, it wasn't designed from
the beggingin. We ... | humangeo/rawes | tests/integration/connection_pool_integration_tests.py | connection_pool_integration_tests.py | py | 1,839 | python | en | code | 107 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rawes.elastic.Elastic",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock... |
27995919395 | from sklearn.metrics import mean_absolute_error,mean_squared_error
def test_mean_absolute_error():
y_true=[1,1,1,1,1,2,2,2,0,0]
y_pred=[0,0,0,1,1,1,0,0,0,0]
print("Mean Absolute Error:",mean_absolute_error(y_true,y_pred))
def test_mean_squared_error():
y_true=[1,1,1,1,1,2,2,2,0,0]
y_pred=[0,0,0,... | JasonK93/ML-note | 12. Model evaluation/12.7 regression_metrics.py | 12.7 regression_metrics.py | py | 558 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "sklearn.metrics.mean_absolute_error",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_absolute_error",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 15,
"usage_typ... |
36462791270 | #!../.env/bin/python3
import argparse
import os
import requests
import http.server
import socketserver
import re
from pathlib import Path
from creds import TOKEN
def handler_from_argparse(PATH):
class HandleAll(http.server.SimpleHTTPRequestHandler):
def __init__(self, *args, **kwargs):
os.chdi... | robb666/nn | YOLOv5_cars/import_tasks.py | import_tasks.py | py | 2,909 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "http.server.server",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "creds.TOKEN",
"line_... |
41521231320 | import argparse
import colorsys
import glob
import json
import os
import shutil
import sys
import tqdm
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import pycocotools.mask as rletools
from PIL import Image
from multiprocessing import Pool
# from mots_common.io import load_se... | YangLiu14/AI-LearningBook | tracking/visualization.py | visualization.py | py | 28,807 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.dirname",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_nu... |
26463942824 | # -*- coding: utf-8 -*-
# @Time : 2020/8/24 9:22
# @Author : Bo Hu
# @Email : hubosist@mail.ustc.edu.cn
# @File : test_merge.py
# @Software: PyCharm
import os
import cupy as cp
import SimpleITK as sitk
from tqdm import tqdm
import numpy as np
import time
from skimage import morphology
from merge... | liuxy1103/EMADS | Full_Brain_Soma_Segmentation_Pipeline/full_data_process2.0_seg/merge_func/test_merge.py | test_merge.py | py | 1,350 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
2982378768 | from fastapi.testclient import TestClient
from utils.auth_utils import ADMIN_HEADER, BASIC_HEADER, MANAGER_HEADER
category = {"name": "test", "description": "test"}
def test_put_category_as_admin(client: TestClient):
response = client.put(
"/categoria/1",
json=category,
headers=ADMIN_HEA... | fga-eps-mds/2022-1-schedula-detalhador-de-chamados | tests/test_put_category.py | test_put_category.py | py | 1,709 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "utils.auth_utils.ADMIN_HEADER",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 20,
"usage_type": "name"
},
... |
29507185599 | import pika
import json
from class_types import Endpoint
import requests
#connection = pika.BlockingConnection(pika.ConnectionParameters('localhost'))
#channel = connection.channel()
endpoints = {}
with open("endpoints.json") as endpoints_config:
data = json.load(endpoints_config)
for idx,ep in enumerate(data[... | asriram1/Microservices-Python-Auction-Application | email_service/test_email_client.py | test_email_client.py | py | 990 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "class_types.Endpoint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_n... |
42634767585 | import numpy as np
import torch
from torch.optim.lr_scheduler import StepLR
from collections import defaultdict
from tqdm import tqdm
from topmost.utils import static_utils
# transform tensor list to numpy list
def to_nparray(tensor_list):
return np.asarray([item.detach().cpu().numpy() for item in tensor_list], d... | BobXWu/TopMost | topmost/trainers/hierarchical/hierarchical_trainer.py | hierarchical_trainer.py | py | 3,967 | python | en | code | 89 | github-code | 97 | [
{
"api_name": "numpy.asarray",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.lr_schedu... |
14591202855 | from typing import Union, Dict, List, AnyStr, Any, TextIO, Literal
import tempfile
import xmltodict
from commons import *
from varvault import ResourceNotFoundError
vault_file_new = f"{DIR}/new-vault.xml"
existing_vault = f"{DIR}/existing-vault.xml"
class XmlResource(varvault.BaseResource):
KEY = "VAULT"
... | data-ductus/varvault | tests/test_xml_vault.py | test_xml_vault.py | py | 4,427 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "varvault.BaseResource",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Literal",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.TextIO",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "varvault.Reso... |
23734284203 | #Библиотеки
import pygame
import random
import sys
import time #Чтобы сделать задержку
#Размер экрана
MAX_X = 1366
MAX_Y = 768
#Количество снежинок
MAX_SNOW = 150
#Размер снежинки
SNOW_SIZE = 64 #В пикселях
#Класс снежинки
class Snow():
def __init__(self, x, y): #x и y - координаты снежинки
"""Инициализ... | froland-git/Python | ADV-IT_Lessons/For_beginners/PyGame/Lesson-28-SnowFall.py | Lesson-28-SnowFall.py | py | 3,227 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"l... |
12265773210 | import torch
from distributed_auto_differentiation.utils import dprint
def power_iteration_BC(B, C, rank=3, numiterations=1, device='cuda', tol=1e-3, compute_sigma=True):
"""This function is the main workhorse of rank-dAD. The original function was
written by Sergey Plis in numpy, then translated into... | bbradt/catalyst-dad | distributed_auto_differentiation/utils/power_iteration_BC.py | power_iteration_BC.py | py | 3,994 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.mm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.mm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.mm",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.mm",
"line_number": 27,
"usa... |
32091764461 | """
const $ = new Env("统计东哥历史红包");
统计东哥历史红包
"""
import requests
import sys
import re
import time
import os
def gettimestamp():
return str(int(time.time() * 1000))
def printf(text):
print(text)
sys.stdout.flush()
def getinfo(ck):
isNext = True
page = 1
sum = 0
usedsum = 0
count = 0... | JDWXX/jd_job | py/jd_hbtj.py | jd_hbtj.py | py | 2,236 | python | en | code | 196 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.stdout.flush",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_n... |
74818885439 | #MAP and REDUCE are very effective ways to handle data structure. Here are
#Some examples.
# 1. I have an array of Temperature in Degree F. I want to convert them to
# Degree C. Use map to convert the temperature unit.
DegreeF = [-40, 0,0,20,30,40, 50, 60, 70, 80, 90, 100, 110, 120, 320]
def convert_F_to_C(T):
... | bhattaraiprabhat/Core_CS_Concepts_Using_Python | arrays/python_list_MAP_REDUCE.py | python_list_MAP_REDUCE.py | py | 1,961 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
... |
35163472817 | from fbs_runtime.application_context import ApplicationContext
import sys
import os
import logging
from PyQt5 import QtWidgets, QtGui, QtCore
from PyQt5.QtWidgets import QMainWindow
from PyQt5.QtCore import Qt, QThread, pyqtSignal, pyqtSlot
from PIL import Image
from fysom import FysomError
from ayab.ayab_gui impor... | AllYarnsAreBeautiful/ayab-desktop | src/main/python/ayab/ayab.py | ayab.py | py | 19,717 | python | en | code | 45 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.... |
41921107844 | from Birds.models import Finch
from django.views.generic import TemplateView
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, HttpResponse
from django.urls import reverse
from django.template import loader
from django.views import generic
from django.views.ge... | dherc323/SoberDB | SoberDB/Birds/views.py | views.py | py | 2,041 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
24280997153 | from pycountry import countries
from webapp.services.import_services.models import LocationUpdate, BusinessUpdate, EvseUpdate, ConnectorUpdate, RegularHoursUpdate, \
ExceptionalPeriodUpdate, ImageUpdate
from webapp.services.import_services.ocpi.ocpi_validators import LocationInput, EvseInput, ConnectorInput, Busin... | binary-butterfly/ocpdb | webapp/services/import_services/ocpi/ocpi_mapper.py | ocpi_mapper.py | py | 4,966 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "webapp.services.import_services.ocpi.ocpi_validators.LocationInput",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "webapp.services.import_services.models.LocationUpdate",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pycountry.countries.get"... |
20415596185 | import os
import PySimpleGUI as sg
sg.theme('DarkAmber')
close_window_action = "Ja!"
print("Vilka snälla kollegor jag har")
file_selector_column = [
[
sg.Text("File Browser"),
sg.In(size=(25,1), enable_events=True, key="-FOLDER-"),
sg.FolderBrowse(),
],
[
sg.Listbox(
... | hankOlofs/KSLPythonCourse | gui/pdf_tool.py | pdf_tool.py | py | 1,457 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PySimpleGUI.theme",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.In",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.FolderBr... |
32477967806 | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='django-bazaar-of-wonders',
author='https://github.com/Bazaar-Trader',
version='0.1.40',
description='Bazaar of Wonders is a Django-based web application that aggregates card details and p... | dorianmeade/Bazaar_Of_Wonders | setup.py | setup.py | py | 1,116 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
6537259498 | from selenium import webdriver # http://pythonclub.com.br/selenium-parte-1.html
from selenium.webdriver.common.keys import Keys # https://stackoverflow.com/questions/1629053/typing-enter-return-key-in-selenium
from selenium.webdriver.common.by import By # https://selenium-python.readthedocs.io/waits.html#explicit-waits... | luizfgnmaia/FDS-Homeworks | hw1/scrape_scholar.py | scrape_scholar.py | py | 2,371 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 15,
"usage_type": "call"
},
... |
25959573249 | import itertools
import os.path
import torch
from data import *
from models import *
from sklearn.metrics import confusion_matrix
from tqdm import tqdm
device = torch.device('cuda' if torch.cuda.is_available() else "cpu")
print(f'Using {device}')
generator = torch.Generator()
generator.manual_seed(5757)
def train... | dirisiom/cse803final | train.py | train.py | py | 5,502 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "torch.device",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.Generator"... |
8403035426 | import logging
import os
import subprocess
from datetime import date
from flask import Flask,render_template,request
from logging.handlers import RotatingFileHandler
app=Flask(__name__)
@app.route('/')
def main_page():
# will display main game page
year = date.today().year
return render_template('index.ht... | ps/tic_tac_toe | __init__.py | __init__.py | py | 2,074 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
6879236429 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" Audio solving module. """
import os
import random
import shutil
import tempfile
from asyncio import TimeoutError, CancelledError
from aiohttp.client_exceptions import ClientError
from nonocaptcha import util
from nonocaptcha.speech import Amazon, Azure, Sphinx, Deep... | mikeyy/nonoCAPTCHA | nonocaptcha/audio.py | audio.py | py | 4,567 | python | en | code | 893 | github-code | 97 | [
{
"api_name": "nonocaptcha.base.Base",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "nonocaptcha.exceptions.DownloadError",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "nonocaptcha.exceptions.ReloadError",
"line_number": 35,
"usage_type": "name"
... |
1780131653 | import requests
from bs4 import BeautifulSoup
import pandas as pd
import re
import click
from datetime import date, datetime
import os
HEADERS={
'Referrer-Policy':'origin-when-cross-origin',
'User-Agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.5005.... | reoneo97/gb-menu-scrape | scrape.py | scrape.py | py | 2,644 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "click.echo",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "click.prompt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number": 19... |
72009852478 | import pytest
from decorator import name, greeting_decorator, nickname, farewell_decorator
def test_name_decorator():
actual = name('bob')
expected = 'Hello there, bob'
assert actual == expected
def test_nicknname_farewell():
actual = nickname('Tim')
expected = 'Well, Tim, It\'s been real. Take c... | kmangub/pythonisms | test_decorator.py | test_decorator.py | py | 355 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "decorator.name",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "decorator.nickname",
"line_number": 11,
"usage_type": "call"
}
] |
33942944451 | from pyramid.config import Configurator
from sqlalchemy import engine_from_config
from pyramid.authentication import AuthTktAuthenticationPolicy
from pyramid.authorization import ACLAuthorizationPolicy
from models import *
from pyramid.session import SignedCookieSessionFactory
from pyramid.security import Allow, Deny, ... | Hasuni/Kursovaya-Rabota | pyramid_blogr/__init__.py | __init__.py | py | 1,751 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyramid.session.SignedCookieSessionFactory",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyramid.security.Allow",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pyramid.security.Everyone",
"line_number": 14,
"usage_type": "name"
},... |
42141378575 | import logging
from django.conf import settings
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
from avanan.slack.models import SQSQueue
logger = logging.getLogger(__name__)
def get_slack_webclient():
return WebClient(token=settings.SLACK_USER_TOKEN)
def produce_sqs(message):
... | elyak123/avanan-home-assignment | avanan/slack/utils.py | utils.py | py | 849 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "slack_sdk.WebClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.SLACK_USER_TOKEN",
"line_number": 14,
"usage_type": "attribute"
},
{
"... |
11946779481 | from sentence_transformers.losses import CosineSimilarityLoss
from setfit import SetFitModel, SetFitTrainer
from setup_utils import seed_everything, MODEL_SEED
def do_setfit(args, train_ds, val_ds, config_dict=None):
if len(set(train_ds['labels'])) != 2:
metric = 'f1'
else:
metric = 'ap'
i... | UKPLab/lagonn | use_setfit.py | use_setfit.py | py | 1,783 | python | en | code | 24 | github-code | 97 | [
{
"api_name": "setup_utils.MODEL_SEED",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "setup_utils.seed_everything",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "setup_utils.MODEL_SEED",
"line_number": 17,
"usage_type": "argument"
},
{
"api... |
71698474879 | #!/usr/bin/env python3
# Based on https://python101.readthedocs.io/pl/latest/pygame/pong/#
import pygame
from typing import Type
import skfuzzy as fuzz
import skfuzzy.control as fuzzcontrol
FPS = 30
class Board:
def __init__(self, width: int, height: int):
self.surface = pygame.display.set_mode((width, h... | moginski01/ArtificialIntelligence-basics | 9/zad9.py | zad9.py | py | 13,209 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
29400266127 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 20 21:14:04 2018
@author: Paris
"""
import numpy as np
import matplotlib.pyplot as plt
from pyDOE import lhs
from scipy.interpolate import griddata
from models_tf import DarcyNet2D
np.random.seed(1234)
if __name__ == "__main__":
datase... | paraklas/DarcyNets | main.py | main.py | py | 2,707 | python | en | code | 8 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
... |
29698845451 | from typing import Optional
from db.models.user import User
from sqlalchemy import (
select,
)
from app.crud.base import CRUDBase
from app.schemas.user import (
UserFiltersSchema,
UserOrderingSchema,
UserOrderingAsc,
UserOrderingDesc,
UserOrderingRoleAsc,
UserOrderingRoleDesc,
)
from sqlalc... | SergioMustang/bsl_pdp_api | app/crud/user_crud.py | user_crud.py | py | 3,408 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "app.crud.base.CRUDBase",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.select",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "db.models.user.User",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "db.m... |
73346603519 | import os
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS
from PIL import Image
import requests
import copy
import traceback
# import paddle
# paddle.enable_static
import jieba
# jieba.enable_paddle()
from nonebot import on_command, CommandSession, scheduler, get_bot, MessageSegment
from ut... | falcon-hayaki/nonebot_plugins | plugins/wordcloud/main.py | main.py | py | 4,734 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "nonebot.get_bot",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
39497716442 | '''
ComboBox
=======
Based on Spinner
'''
__all__ = ('ComboBox', 'ComboBoxOption')
from kivy.properties import ListProperty, ObjectProperty, BooleanProperty
from kivy.uix.button import Button
from kivy.uix.dropdown import DropDown
from kivy.lang import Builder
Builder.load_string('''
<ComboBoxOption>:
size_hin... | AXErunners/electrum-axe | electrum_axe/gui/kivy/uix/combobox.py | combobox.py | py | 2,490 | python | en | code | 224 | github-code | 97 | [
{
"api_name": "kivy.lang.Builder.load_string",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 29,
"usage_type": "name"
},
{
"api_name":... |
20836739900 | import typing
from alembic.config import Config as AlembicConfig
from alembic.command import upgrade
from configman import ConfigMan
from toolbelt.cli import Command, Argument
if typing.TYPE_CHECKING:
from .config import Config
class MigratorConfig(ConfigMan):
revision: str = "head"
sql_only: bool = F... | mmohaveri/flask-sqlalchemy-cookiecutter-template | {{cookiecutter.directory_name}}/{{cookiecutter.project_name}}/cmd/migrate.py | migrate.py | py | 1,099 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "configman.ConfigMan",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "alembic.config.Config",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "c... |
1206938422 | import os
import progressbar
from glob import glob
import pickle
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from sklearn import metrics
import cv2
import mahotas as mt
from skimage import featu... | igor-morawski/exercises | Semantic_Segmentation(Features+NN)/train.py | train.py | py | 7,212 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sklearn.metrics.precision_score",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "numpy.unique",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
39097385303 | from jit_code_generator import *
from collections import defaultdict
class AstVisitor:
def __init__(self):
#self.output = open(filename, 'w')
self.code_generator = CodeGenerator()
#list of dicts
self.env = [defaultdict(lambda:None)]
def enter_scope(self, env):
self.env.... | kcecireyes/JIT | jit_ast_visitor.py | jit_ast_visitor.py | py | 5,212 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 113,
"usage_type": "call"
}
] |
71421224638 | """
URL mappings for the user API.
"""
from django.urls import path
from modules.users import views
app_name = 'auth'
urlpatterns = [
path('register/', views.CreateUserView.as_view(), name='register'),
path('login/', views.CreateTokenView.as_view(), name='login'),
path('logout/', views.LogoutUserView.as... | codigoenlaweb/spotify-drf-api | modules/users/urls.py | urls.py | py | 406 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "modules.users.views.CreateUserView.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "modules.users.views.CreateUserView",
"line_number": 12,
"usage_type": "attrib... |
73440051840 | from pathlib import Path
def main():
workingdirectory = Path.cwd()
#here we define an empty array:
newfilelist = []
#languages is a python dictionary
#left value is the abbreviation we have in our filesnames
#right value is the function name in our code that handles that language
language... | jackfruh/forMajid | convert_usingDictionary.py | convert_usingDictionary.py | py | 3,288 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pathlib.Path.cwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "name"
}
] |
8371363293 | import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, roc_auc_score, auc, confusion_matrix
import numpy as np
import re
import os
def print_confusion_as_csv(eng_abbrs, confusion_matrix):
_confusion_matrix = confusion_matrix.tolist()
LEN = len(eng_abbrs)
print('-, ', end='')
for abbr i... | yshsu0918/multilayer-goterm-predict | analysis.py | analysis.py | py | 2,306 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "sklearn.metrics.confusion_matrix.tolist",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.roc_curve",
"line_number": 26,
"usage_type": "call... |
21674040103 | import random
import numpy as np
from torch.utils.data.dataset import Dataset
from src.datasets.bengali import IMAGE_KEY, INPUT_KEYS
from src.utils.utils import rand_bbox, to_one_hot
class CutMixUpDataset(Dataset):
def __init__(self,
dataset,
image_key,
input_k... | smivv/kaggle-bengali | src/datasets/bengali/cutmix.py | cutmix.py | py | 1,765 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.random.rand",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "... |
29793132601 | # @Time : 2021/5/25 17:28
# @Author : lucas
# @File : auth_gitee_request.py
# @Project : SSO
# @Software: PyCharm
import requests
from request.auth_base_request import AuthBaseRequest
from auth_source import AuthSource
from utils.utils import build_url
class AuthGiteeRequest(AuthBaseRequest):
# https://git... | lucas234/OauthDemo | request/auth_gitee_request.py | auth_gitee_request.py | py | 1,992 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "request.auth_base_request.AuthBaseRequest",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "auth_source.AuthSource.GITEE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "auth_source.AuthSource",
"line_number": 14,
"usage_type": "na... |
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