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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14150156159 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 3 19:09:37 2020
@author: Maldonado
"""
import sqlite3
conexion = sqlite3.connect("ejemplo.db")
cursor = conexion.cursor()
#cursor.execute("create table usuarios (nombre varchar(100), edad integer, email varchar(100))")
#cursor.execute("insert into usuarios values('Alb... | arudes/Codigo_python | conexion.py | conexion.py | py | 853 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
}
] |
10556913421 | #!/usr/bin/env python
"""Module with Embedding and RankLoss classes. First one is linear embedding
with weights for features and so-called anchor point which roughly represents
position of clusters."""
__author__ = 'Anna Kukleva'
__date__ = 'August 2018'
import torch.nn as nn
import torch
from utils.arg_pars import... | Annusha/slim_mallow | models/rank.py | rank.py | py | 1,707 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.manual_seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.arg_pars.opt.se... |
43188100990 | import datetime
import fcntl
import inspect
import json
import os
from types import FunctionType
from typing import Optional, Union
from apscheduler.executors.pool import ThreadPoolExecutor
from apscheduler.jobstores.memory import MemoryJobStore
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
from apsc... | SUNET/cnaas-nms | src/cnaas_nms/scheduler/scheduler.py | scheduler.py | py | 8,904 | python | en | code | 66 | github-code | 18 | [
{
"api_name": "cnaas_nms.tools.log.get_logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fcntl.lockf",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "fcntl.LOCK_EX",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "fcntl.L... |
26243083440 | # Author: Salvatore Masecchia <salvatore.masecchia@disi.unige.it>
# License: New BSD
import numpy as np
## Prox and Proj operators ----------------------------------------------------
from utils import discrete_derivate, discrete_derivate_conj, \
interval_projection, prox_l1
# Unchanged functions -... | slipguru/PyCGH | pycgh/analysis/eFLLAT/timing/fllat.py | fllat.py | py | 3,490 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.empty",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.discrete_derivate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_n... |
14883765060 | import sys
from PySide6.QtWidgets import QMainWindow, QComboBox, QApplication, QLabel, QPushButton
class spinner(QMainWindow):
def __init__(self):
super().__init__()
self.spinner=QComboBox(self)
lista = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"]
self.spinner.addItem... | Sergiopavonalvarez/Programacion_Python | 02 Generacion de Interfaces Graficas/04 Layouts y Spinner/spinner.py | spinner.py | py | 847 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySide6.QtWidgets.QMainWindow",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QComboBox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PySide6.QtWidgets.QLabel",
"line_number": 13,
"usage_type": "call"
},
{
... |
41537264128 | #!/usr/bin/env python3
from enum import Enum
import itertools
class ConnectionType(Enum):
JumpTrue = 'JT'
JumpFalse = 'JF'
CallTrue = 'CT'
CallFalse = 'CF'
ReturnTrue = 'RT'
ReturnFalse = 'RF'
NextBlock = 'NB'
class Instruction:
def __init__(self, name: str, is_branching: bool):
... | mika-s/MikasEmulators | helpers/cfg/classes.py | classes.py | py | 3,107 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "itertools.count",
"line_number": 59,
"usage_type": "call"
}
] |
12287637894 | from TCR_Autoencoder.tcr_autoencoder import PaddingAutoencoder
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
class PathologyClassifier(nn.Module):
def __init__(self, embedding_dim, device, max_len, input_dim, encoding_dim, output_dim,
batch_s... | IdoSpringer/pathology_classifer | models.py | models.py | py | 2,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "TCR_Autoencoder.tcr_autoencoder.PaddingAutoencoder",
"line_number": 20,
"usage_type": "call"
},
{
"ap... |
33300166636 | import csv
import cv2
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Flatten, Dense, Cropping2D, Convolution2D, Lambda
from keras.callbacks import EarlyStopping
from keras.callbacks import ModelCheckpoint
from keras.utils.visualize_util import plot
from... | deepakzambre/BehavioralCloning | model.py | model.py | py | 2,802 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.fliplr",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"lin... |
8617993621 | # -*- coding: utf-8 -*-
from metadata import tvshow_meta, season_episodes_meta, all_episodes_meta
from apis.trakt_api import trakt_fetch_collection_watchlist, trakt_get_hidden_items, trakt_get_my_calendar
from modules import kodi_utils, settings, watched_status as ws
from modules.utils import jsondate_to_datetime, adju... | 17Q/project | plugin.video.david/resources/lib/indexers/episodes.py | episodes.py | py | 22,522 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "modules.kodi_utils.remove_meta_keys",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "modules.kodi_utils",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "modules.kodi_utils.set_view_mode",
"line_number": 8,
"usage_type": "attribute"
... |
3330599566 | # Задание №6
# 📌 Создать страницу, на которой будет форма для ввода имени
# и возраста пользователя и кнопка "Отправить"
# 📌 При нажатии на кнопку будет произведена проверка
# возраста и переход на страницу с результатом или на
# страницу с ошибкой в случае некорректного возраста.
import logging
from pathlib import P... | pvs7918/StudyPyt2 | StudyFlask/seminar2/lesson/task6/task6.py | task6.py | py | 1,474 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.bas... |
30359082204 | import gsw
import numpy as np
import xarray as xr
from compass.step import Step
class Combine(Step):
"""
A step for combining a January and an annual WOA 2023 climatology into
a single file, where the January data is used where available and the
annual in the deeper ocean where monthly data is not pr... | MPAS-Dev/compass | compass/ocean/tests/utility/extrap_woa/combine.py | combine.py | py | 4,630 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "compass.step.Step",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "xarray.open_dataset",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "xarray.Dataset",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "xarray.open_datas... |
43365132500 | import matplotlib.pyplot as plt
import numpy as np
f = input("Enter Frequency of sine wave : ")
Fs = 8000
time = 8000
x = np.arange(time)
y = np.sin(2 * np.pi * f * x / Fs)
# print(x)
plt.ylim(-1.5,1.5)
plt.plot(x, y)
plt.xlabel('t')
plt.ylabel('y(t) (sine wave)')
plt.grid(True)
plt.show()
| YashAgrawal0/Signals-and-systems | Assignment1/sine.py | sine.py | py | 294 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_... |
32214434210 | import sys
import pickle
from pathlib import Path
from dotenv import find_dotenv, load_dotenv
# find .env automagically by walking up directories until it's found, then
# load up the .env entries as environment variables
load_dotenv(find_dotenv())
from tqdm import tqdm
import h5py
import matplotlib.pyplot as plt
imp... | gama-ufsc/brain-age | model_predict.py | model_predict.py | py | 4,140 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dotenv.find_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.device",
"... |
15686942473 |
from PIL import Image
import numpy as np
import os
import torch
from torch.utils.data.dataset import Dataset
import torchvision.transforms as T
import torchvision.transforms.functional as F
import random
import cv2
import albumentations as A
import json
import platform
import xml.etree.ElementTree as xmlET
CLASS_NAM... | fire717/Pytorch-SSD-And-Extension | libs/data.py | data.py | py | 20,953 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "cv2.cvt... |
11618268982 | import os
import shutil
from utils import copy_file, get_dir_length, read_file
class GithubScraper:
"""
Scrape python files from github repo and save to buffer
"""
def __init__(self, repo, owner, dest, search_root=''):
self.repo = repo
self.owner = owner
self.dest = dest
... | jhanreg11/monty | pipeline/scraper.py | scraper.py | py | 1,578 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.get_dir_length",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.copy_file",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
8000625346 | # -*- coding:utf-8 -*-
import os
import time
import requests
from flask import Flask, render_template, request
app = Flask(__name__)
app.config['SECRET_KEY'] = '******'
@app.route('/', methods=['GET', 'POST'])
def index():
weather = ''
if request.method == 'POST':
if 'query' in request.form.keys():
... | kunbao7/ch6 | demo1.py | demo1.py | py | 2,386 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.request.form... |
11815873688 | import pandas as pd
import numpy as np
from math import sqrt
from numpy import concatenate
from matplotlib import pyplot
from pandas import read_csv
from pandas import DataFrame
from pandas import concat
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder
from sklearn... | shreyb99/self-adaptive-ecosystem | data analysis/LSTM Model.py | LSTM Model.py | py | 4,495 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "p... |
15921324863 | import os
import torch
from rouge import Rouge
from datasets import load_dataset
from transformers import (AutoTokenizer,AutoModelForSeq2SeqLM)
import time
start = time.time()
def __init__():
model_ckpt = 'model/Laysumm/PRIMERA-arxiv-TrainPLUStest-4096'
tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
... | yangjenhao/BioLaySumm-2023-Task2-ReadabilityControlledSummarizationOfBiomedicalArticles | eval.py | eval.py | py | 3,355 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 11,
"usage_type": "name"
},
{
"ap... |
32690365150 | import math
import time
import functools
import datetime
import itertools
from logging import getLogger
import pyglet
from PIL import Image
import pathilico.pygletelm.cache as cache
import pathilico.app.geometry as geometry
from pathilico.pygletelm.message import WindowResized, WindowApiChangeCursor
LAYERS = dict()... | yujota/pathilico | python/pathilico/pygletelm/window.py | window.py | py | 49,052 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pyglet.graphics.OrderedGroup",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyglet.graphics",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "functools.wraps",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "tim... |
27119751829 | # -*- coding: utf-8 -*-
import json
import os
from .utils import FileManagement
from django.conf import settings
from django.http import JsonResponse
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from wsgiref.util import FileWrapper
pat... | nirjharij/docshare | docshareapp/views.py | views.py | py | 4,755 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.settings.WORK_DIR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.FileManagement",
"line_number": 16,
"usage_type": "call"
},
{
"api_... |
17072096112 | from flask import request
from flask_wtf import FlaskForm
from wtforms import BooleanField, HiddenField, RadioField, SelectMultipleField, StringField, TextAreaField, validators
from wtforms.fields import EmailField, TelField
from wtforms.validators import DataRequired, Email, Optional, Regexp, URL
from wtforms.widgets ... | StartupsPoleEmploi/labonneboite | labonneboite/web/contact_form/forms.py | forms.py | py | 8,161 | python | en | code | 42 | github-code | 18 | [
{
"api_name": "wtforms.SelectMultipleField",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "wtforms.widgets.ListWidget",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "wtforms.widgets.CheckboxInput",
"line_number": 26,
"usage_type": "call"
},
{
... |
27366048320 | import pygame
class Cell:
def __init__(self, value, row, col, screen):
self.font = pygame.font.SysFont('arialblack', 4)
self.value = value
self.row = int(row)
self.col = int(col)
self.screen = screen
# Sets all self values to correct values
self.baseimg = p... | LuisMedina11/Project4-G67 | cell(luis).py | cell(luis).py | py | 2,221 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
20830367666 | import argparse
import os
import torch
from torch.nn.parallel import DistributedDataParallel
from sslsv.Trainer import Trainer
from sslsv.utils.helpers import load_config, load_dataloader, load_model
def train(args):
world_size = int(os.environ['WORLD_SIZE'])
rank = int(os.environ["LOCAL_RANK"])
torch.... | theolepage/sslsv | train_distributed.py | train_distributed.py | py | 1,152 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.distributed.init_process_group",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
7592896564 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | suhaibchishti/sample_scripts | manila/tests/api/v1/test_share_instances.py | test_share_instances.py | py | 3,394 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "oslo_config.cfg.CONF",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "oslo_config.cfg",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "manila.test.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "m... |
21813882847 | # Objective: print "Bring an Umbrella" if any of the next 12 hourly weather condition codes is less than 700.
#HINT
'''
1. Practice printing out the weather ID for the weather in the 0th hour.
2. Try to create a slice from the weather data to get a list of the hourly forecasts for only the next 12 hours.
3. Using the ... | ahudspeth199/100_days_of_code | src/day_35_notes/challenge_315.py | challenge_315.py | py | 1,026 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
}
] |
10043319713 | # nbit-5, with truncation, one figure, all T.
# with smooth
# 25th/January/2021: T fixed. nbit-5 fixed.
import numpy as np
import glob
import os
import re
import matplotlib.pyplot as plt
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
plt.switch_backend('agg')
total_steps = 200000... | Shihwin/SelectiveSampling | utils/plot.py | plot.py | py | 6,828 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.... |
25774386082 | import os
import json
from typing import List
from functools import reduce
from operator import add
from collections import Counter
def summation_time(wakati_array: List, time_params: dict) -> int:
target = [time_params[n] for n in wakati_array if n in time_params]
return adjust_time_by_paramter(r... | tsukudamayo/kytea-api | compute_recipetime.py | compute_recipetime.py | py | 2,673 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "typing.List",
"line_... |
28606536275 | # pylint: disable=bad-indentation,missing-module-docstring,missing-function-docstring
import functools
from acme.specs import EnvironmentSpec
from acme.tf import networks
import sonnet as snt
import tensorflow as tf
def make_value_func_bsuite(environment_spec: EnvironmentSpec,
distribution... | liyuan9988/IVOPEwithACME | src/ope/fqe/nn_structure/bsuite_network.py | bsuite_network.py | py | 1,062 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "acme.specs.EnvironmentSpec",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.one_hot",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "... |
74805863401 | import ast
import json
import types
from base64 import b64encode, b64decode
from Crypto.Cipher import AES
from Crypto.Util.Padding import pad, unpad
from Crypto.Random import get_random_bytes
class Message(object):
def __init__(self, *args):
self.package = args[0]
self.key = args[1]
... | AB-Spud/jargon | jargon_message.py | jargon_message.py | py | 4,590 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "types.SimpleNamespace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ast.literal_ev... |
42129222934 | import logging
from subscription_manager.cli_command.cli import CliCommand
from subscription_manager.i18n import ugettext as _
log = logging.getLogger(__name__)
class VersionCommand(CliCommand):
def __init__(self):
shortdesc = _("Print version information")
super(VersionCommand, self).__init__(... | candlepin/subscription-manager | src/subscription_manager/cli_command/version.py | version.py | py | 911 | python | en | code | 61 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "subscription_manager.cli_command.cli.CliCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "subscription_manager.i18n.ugettext",
"line_number": 11,
"usage_type": "ca... |
417181616 | from encodings import utf_8
from iot.DB import DBSingleton
db= DBSingleton.get_instance()
db.connectDB()
from iot.models import User, Room, Devices, Records, DevicesLog
from iot.serializers import DevicesSerializer, RecordsSerializer
from rest_framework.response import Response
from rest_framework import status
from ... | HandsOfGoddest/SmartHome-HCMUT-HK212 | BackEnd/src/iot/controller/deviceController.py | deviceController.py | py | 6,993 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "iot.DB.DBSingleton.get_instance",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "iot.DB.DBSingleton",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.APIView",
"line_number": 17,
"usage_type": "name"
},
{
... |
43237462483 | import requests
from bs4 import BeautifulSoup
# Kullanıcıdan web sitesi adresini al
url = input("Please enter the website address: ")
# İstek yap ve yanıtı al
response = requests.get(url)
# Eğer yanıt 200 OK ise devam et, aksi takdirde hata mesajı ver
if response.status_code == 200:
soup = BeautifulSoup(response... | KikiCod/web-scraper | web_scraping.py | web_scraping.py | py | 629 | python | tr | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
}
] |
71427003240 | import os
import matplotlib.pyplot as plt
import seaborn as sns
color = sns.color_palette()
sns.set_style('darkgrid')
import gc
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import StratifiedKFold
#Importing most common alogorithms
from... | aorursy/new-nb-3 | hakeem_comparison-of-different-algorithms.py | hakeem_comparison-of-different-algorithms.py | py | 7,924 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.color_palette",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.r... |
36213643931 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="leabra",
version="1.1.15",
author="emergent",
author_email="oreilly@ucdavis.edu",
description="Python interface to emergent neural network simulation system, in Go",
long_description=l... | emer/leabra | python/setup.py | setup.py | py | 675 | python | en | code | 63 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
34145318906 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.contrib.auth import logout,login,authenticate
from django.contrib.auth.forms import UserCreationForm
# Create your views here.
def logout_view(request):
"""注销用户"""
logout(re... | Dgama/Eric-Matthes-Python-Programming | learning_log/users/views.py | views.py | py | 1,489 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.logout",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
9257261359 | #!/usr/bin/env python3
# coding=utf-8
import sys
import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import pyqtSlot
from PyQt5 import uic,QtGui
import random
import math
class Example(QWidget):
def __init__(self):
super().__init__()
QWidget.__init... | thekupidman/pythonravil4 | pythonravil4/main.py | main.py | py | 2,519 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_num... |
16816225925 | import numpy as np
import pandas as pd
import re
from sklearn.preprocessing import LabelEncoder
from sklearn.utils.validation import check_is_fitted
from pandas.tseries.holiday import USFederalHolidayCalendar, Holiday, SU, MO, TU, WE, TH, FR, SA
from pandas.tseries.offsets import DateOffset
from sklearn.utils import co... | leontoddjohnson/dstools | ds_statsml/_feature_eng.py | _feature_eng.py | py | 15,208 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "_timeseriestools.get_consecutive",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "_timeseriestools.get_fourier",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "_timeseriestools.get_fourier",
"line_number": 75,
"usage_type": "call"
},... |
23873943949 | from __future__ import print_function
import logging
import grpc
import cli_grpc_pb2 as pb2
import cli_grpc_pb2_grpc as pb2_grpc
default_netloc = 'localhost:50051'
def stat_client(stub, _uuid):
uuid = pb2.Uuid(**{'value': _uuid})
req = pb2.StatRequest(**{"uuid": uuid})
try:
stat_reply = stub.stat(... | TomasHricina/rest-grpc-CLI-client | grpc_client.py | grpc_client.py | py | 1,119 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cli_grpc_pb2.Uuid",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cli_grpc_pb2.StatRequest",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "grpc.RpcError",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cli_grp... |
21482211228 | from django import forms
from django.core import validators
from sm_order.models import CollectAddress
class AddressAddForm(forms.ModelForm):
# 用户添加地址信息进行验证
class Meta:
model = CollectAddress
# 排除,不包括(那些字段不需要验证)
# 因为提交过来的信息中,没有用户ID(user),所以不要验证
exclude = ["user", "create_time"... | kuangyongwei/supermarket | apps/sm_order/forms.py | forms.py | py | 1,671 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sm_order.models.CollectAddress",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": ... |
21027485555 | # -*- coding: utf-8 -*-
from flask import Flask,send_file, send_from_directory,jsonify
from flask import request
import json,os
import redis
import hashlib
import time
from PIL import Image,ImageDraw,ImageFont
from redisco import models
import redisco
import requests
from flask_socketio import SocketIO, rooms, join_roo... | yongliangliu/flaskMiniApp | pythonService.py | pythonService.py | py | 16,081 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "redisco.connection_setup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "redis.Re... |
1653938869 | import os
import math
import argparse
import nsml
import torch
import torch.nn as nn
import torchvision.models as models
from data_loader import feed_infer
from data_local_loader import data_loader
from tqdm import tqdm
from nsml import DATASET_PATH, IS_ON_NSML
if IS_ON_NSML:
TRAIN_DATASET_PATH = os.path.join(D... | temerara-nplab/round-1 | iitp_trash/main.py | main.py | py | 5,489 | python | en | code | null | github-code | 18 | [
{
"api_name": "nsml.IS_ON_NSML",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nsml.DATASET_PATH",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "os.path",
"lin... |
39733333909 | import json
import time
from binance import Client
import requests
import pandas as pd
from datetime import datetime
# Коды не привязаны к личному кабинету в binance. Взяты из документации с апи.
# При работе со своим личным кабинетом, нужно вставить свои, но лучше их "спрятать" через denv.
# при данном коде данные ... | Karisana/binance | main.py | main.py | py | 4,247 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "binance.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",... |
71023527721 | import asyncio
import random
from many_many import ManyMany
from stages import Stage
class Model:
def __init__(self, num):
self.abv = None
self.num = num
self._saved = False
self.processed = False
self._downloaded = False
@property
def downloaded(self):
re... | asmacdo/sandbox | helper-stages/mock_docker.py | mock_docker.py | py | 4,461 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.random",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asyncio.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "stages.Stage",
"line_number": 92,
"usage_type": "name"
},
{
"api_name": "stages.Stage",
"line_num... |
41270642083 | from pathlib import Path
import pydicom
import numpy as np
import nibabel as nib
from natsort import natsorted
from typing import List, Dict, Any, Union
from collections import defaultdict
def get_dcm_list(folder: Path) -> List[Path]:
"""
Get a naturally sorted list of DICOM files from a directory.
:para... | ludgerradke/bMRI | src/Utilitis/read.py | read.py | py | 3,436 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "natsort.natsorted",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_nu... |
7045400788 | import pygame
from Sprites.player import Player
from Sprites.turtle_animated import TurtleSinker
def animate_sprites(*args):
"""
Helper function used for animating turtles.
- :param args:
A list containing two lanes of turtles to be animated, the current frame count, and the net_group used to let... | IUS-CS/project-scrumger-games | src/Engine/sprite_animator.py | sprite_animator.py | py | 2,209 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Sprites.turtle_animated.TurtleSinker",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "Sprites.player.Player",
"line_number": 39,
"usage_type": "argument"
},
{
"api_name": "pygame.sprite",
"line_number": 43,
"usage_type": "attribute"
},
{
... |
21199166828 | import json
from typing import List
import requests
from data.payloads.notion_payloads import NotionPayloads
class NotionAPI:
base_url = "https://api.notion.com/v1"
def __init__(self, auth_secret: str, notion_version: str):
self._auth_secret = auth_secret
self._notion_version = notion_versi... | anggelomos/notion-ticktick-connector | controllers/notion_api.py | notion_api.py | py | 1,614 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "data.payloads.notion_payloads.NotionPayloads.get_headers",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "data.payloads.notion_payloads.NotionPayloads",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 27,
... |
1280712134 | import os
import json
import re
import tomllib
from pathlib import Path
from typing import Any, Optional, cast, Callable, Final
from . import shell
Json = Any
Builtin = Callable[..., Json]
BUILTINS: Final[dict[str, Builtin]] = {
"uname": lambda arg, ctx: getattr(shell.uname(), arg).lower(),
"include": lambd... | cute-engineering/cutekit | cutekit/jexpr.py | jexpr.py | py | 2,500 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_numb... |
5504792230 | import pymysql
import os
from dotenv import load_dotenv
load_dotenv()
class Data:
def __init__(self):
self.conn = pymysql.connect(
host=os.getenv('DB_HOST'),
user=os.getenv("DB_USER"),
password=os.getenv("DB_PASSWORD"),
db=os.getenv("DB_NAME")
... | subAngel/sistema-spa | Database/database.py | database.py | py | 7,828 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_num... |
43821870295 | # Importing necessary libraries
from Cryptodome.Cipher import AES
from Cryptodome.Util.Padding import pad, unpad
import os
# Defining the CBC mode encryption function
# this function accepts a plaintext (entered by the user, uses the initialized random key, and initialized vector)
# the AES.new creates a new cipher ob... | dharmik529/IST402 | LM2_ECB&OFB_CBC&CBF/CBC_CBF_Python/main.py | main.py | py | 4,161 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Cryptodome.Cipher.AES.new",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Cryptodome.Cipher.AES",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Cryptodome.Cipher.AES.MODE_CBC",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
39062146703 | import reflex as rx
class State(rx.State):
count: int = 0
def index():
return rx.vstack(
rx.heading(
"復興高中",
color="#97AEB9",
style={"margin-left":"-20px","margin": "20px ","margin-right":"-260px"}
),
rx.heading(
"自主學習點名系統",
... | EJ0226/fhsh_naming_system | project log_in/project/project.py | project.py | py | 2,159 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "reflex.State",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "reflex.vstack",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "reflex.heading",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "reflex.heading",
"lin... |
32077255043 | # pyright: strict
from dataclasses import dataclass
from ...makeentries import Entries
from ...common.energy import Energy
from ...industry2018.i18 import I18
from ...transport2018.t18 import T18
from ...electricity2018.e18 import E18
@dataclass(kw_only=True)
class Energies:
r18_coal: Energy
r18_fueloil: En... | GermanZero-de/localzero-generator-core | src/climatevision/generator/heat2018/energy_base/__init__.py | __init__.py | py | 4,690 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "common.energy.Energy",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "common.energy.Energy",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "common.energy.Energy",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "common... |
3424730805 |
##Created By:Ayat Khrisat
##Email: v-akhrisat@microsoft.com
import os
from azure.ai.translation.text import TextTranslationClient, TranslatorCredential
from azure.ai.translation.text.models import InputTextItem
from azure.core.exceptions import HttpResponseError
import azure.cognitiveservices.speech as speechsdk
spee... | AyatKhraisat/Translator | main.py | main.py | py | 4,052 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
13749763109 | ###############################################################################
#
# Author: Nathan Adelgren
# Affiliation: Andlinger Center For Energy and the Environment
# Princeton University
#
# Purpose: Define the class to be associated with an invariancy region.
#
########... | Nadelgren/upLCP_solver | up_inv_region.py | up_inv_region.py | py | 4,359 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "copy.deepcopy",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_nu... |
36661593321 | import sys
import os
import cv2
import numpy as np
import h5py
resource_path = 'D:/LZH/code/deep_learning/pytorch/'
pic_dir = './data/0_presented_images_800/'
root_dir = os.path.join(resource_path, pic_dir)
sys.path.append(resource_path)
resolution = 300
image_path = os.listdir(root_dir)
path_dict = {}
for j in ... | Kurisuzzz/Neural_control | Neural_control/image2array.py | image2array.py | py | 831 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number":... |
30116027253 | """Transition matrix module."""
from typing import TypeVar, Iterable, Optional
from cellrank import logging as logg
from cellrank.ul._docs import d, inject_docs
from cellrank.tl.kernels import VelocityKernel, ConnectivityKernel
from cellrank.tl.kernels._base_kernel import KernelExpression
from cellrank.tl.kernels._ve... | grenkoca/cellrank | cellrank/tl/_transition_matrix.py | _transition_matrix.py | py | 4,296 | python | en | code | null | github-code | 18 | [
{
"api_name": "typing.TypeVar",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
33794365358 | import numpy as np
from bokeh.models import CustomJS, Slider, ColumnDataSource, WidgetBox
from bokeh.plotting import figure, output_file, show
from bokeh.layouts import layout
from scipy.integrate import odeint
tools = 'pan'
def lorenz():
sigma = 10
rho = 28
beta = 8.0 / 3
theta = 3 * np.pi / 4
... | birdsarah/bokeh-miscellany | old/new_layout_tests/large_lorenz_layout.py | large_lorenz_layout.py | py | 1,120 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.odeint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"li... |
39881875882 | from dis import dis
from genericpath import exists
import numpy as np
from tkinter import *
from tkinter import messagebox
from tkinter import filedialog
import PIL.Image, PIL.ImageTk
from shutil import copyfile
import time, os
import cv2
import torch
import torchvision.transforms as tt
import torch.nn as nn
import tor... | bISTP/Emotion-Detection-OpenCV-Pytorch-ResNet9 | GUI_face_detection.py | GUI_face_detection.py | py | 10,752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Conv2d",
"... |
24406870785 | import logging
import pytest
import requests
from AutoApi.wenxin.contact.token import Weixin
from AutoApi.wenxin.contact.utils import Utils
class TestDepartment:
@pytest.mark.parametrize("name", ["因缘研究院", "福利研究院", "天文研究院"])
def test_create(self, name, token):
data = {
"name": name+Utils... | duang01/Sublime3 | AutoApi/wenxin/contact/test_department.py | test_department.py | py | 1,035 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "AutoApi.wenxin.contact.utils.Utils.udid",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "AutoApi.wenxin.contact.utils.Utils",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
},
... |
12007256601 | # -*- ecoding: utf-8 -*-
# @ModuleName: dcn
# @Author: wk
# @Email: 306178200@qq.com
# @Time: 2022/6/11 12:56 PM
from torch import nn
import torch
from ..layers import EmbeddingLayer, MLP_Layer, CrossNet
from ..utils import get_dnn_input_dim, get_linear_input, get_feature_num
from ..base_model import BaseModel
class DC... | longtaizi13579/rec_sys | rec_pangu-main/rec_pangu/models/ranking/dcn.py | dcn.py | py | 1,609 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "base_model.BaseModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.get_feature_num",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "layers.CrossNet",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.nn.L... |
70447130281 | import sys
import os
sys.path.insert(1, os.path.join(sys.path[0], '.'))
import itertools
import numpy as np
import activation_function
from layer import InputLayer, OutputLayer, Layer
class NetworkBaseClass:
ID_NONE = -1
_ID_generator = itertools.count(ID_NONE + 1)
@staticmethod
def GenerateID():
... | lonelycorn/machine-learning | legacy/network.py | network.py | py | 6,424 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
70796451241 | import os
from flask import Flask, render_template
from flask_socketio import SocketIO, emit
app = Flask(__name__)
app.config["SECRET_KEY"] = os.getenv("SECRET_KEY")
socketio = SocketIO(app)
@app.route("/")
def index():
return render_template("flack.html")
@socketio.on("send message")
def sendMessage(data):
... | FaizaanKhan24/MessagingWebApp | application.py | application.py | py | 444 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
34327722591 | from django.contrib import admin
from django.urls import path
from .views.task import *
from .views.user import *
urlpatterns = [
#Login and logout
path("",home,name="home"),
path("login",login_user,name="login"),
path("logout",logout_user,name="logout"),
#CRUD Task
path("tasks/",list_tasks, na... | jadsonpp/todo_django | app/urls.py | urls.py | py | 577 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
4634235429 | from keras import backend as K
from keras.models import Model
from keras.layers import Conv2D, Input, Conv2DTranspose, merge ,UpSampling2D
from keras.optimizers import SGD, adam
from keras.callbacks import ReduceLROnPlateau,ModelCheckpoint
import prepare_data as pd
import pandas
import numpy
import cv2
sca... | Wuuu12138/SISR | SRCNN2x.py | SRCNN2x.py | py | 3,577 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.backend.log",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "keras.backend.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.backend.squa... |
9511754272 | # Import necessary libraries
from wordcloud import WordCloud
import matplotlib.pyplot as plt
# Text data
def choose_file():
text = input("filename: ")
with open(text,'r') as f:
text = f.read()
return text
# Generate word cloud
def customize_wordcloud():
bg_color = input("backg... | becks-tech/word-cloud-generator | word_cloud.py | word_cloud.py | py | 747 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wordcloud.WordCloud",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "matplo... |
7429349951 | import scipy.optimize
from scipy.optimize import linprog
import numpy as np
import gc
import time
def LP_solver(T, data, replica_num):
start = time.clock()
disk = len(T)
task = len(data)
print("LP_solver-C-initing")
c = [0] * task * replica_num
# for i in range(0, disk * task):
# c.app... | Jmt1995/DLP_MUTI_REPLICA | LP1.py | LP1.py | py | 1,966 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.clock",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.clock",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "gc.collect",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.linprog",
"line_nu... |
22567924743 | ''' Language parser for Python '''
from lizard import CodeReader
class PythonReader(CodeReader):
ext = ['py']
conditions = set(['if', 'for', 'while', 'and', 'or',
'elif', 'except', 'finally'])
def __init__(self, context):
super(PythonReader, self).__init__(context)
... | SoftengPoliTo/MI | lizard_ext/python.py | python.py | py | 2,771 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "lizard.CodeReader",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "lizard.CodeReader.generate_tokens",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lizard.CodeReader",
"line_number": 21,
"usage_type": "name"
}
] |
33116972419 | import unittest
import os
from dotenv import load_dotenv
import nlpaug.augmenter.audio as naa
from nlpaug.util import AudioLoader
class TestSpeed(unittest.TestCase):
@classmethod
def setUpClass(cls):
env_config_path = os.path.abspath(os.path.join(
os.path.dirname(__file__), '..', '..', '.... | subercui/csc2621-ChatbotAD | nlpaug/test/augmenter/audio/test_speed.py | test_speed.py | py | 2,115 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
35845070797 |
import pandas as pd
import numpy as np
import time
import matplotlib.pyplot as plt
import seaborn as sns
from tree.base import DecisionTree
from metrics import *
np.random.seed(42)
num_average_time = 100
# Learn DTs
# ...
#
# Function to calculate average time (and std) taken by fit() and predict() for different N... | jayeshbhadange/ES654-Assignment1 | experiments.py | experiments.py | py | 2,530 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
... |
417184306 | from iot.DB import DBSingleton
db= DBSingleton.get_instance()
db.connectDB()
from iot.models import DevicesLog
from iot.serializers import DevicesLogSerializer
from rest_framework.response import Response
from rest_framework import status
from rest_framework.decorators import APIView
import datetime
from mongoengine... | HandsOfGoddest/SmartHome-HCMUT-HK212 | BackEnd/src/iot/controller/logController.py | logController.py | py | 1,945 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "iot.DB.DBSingleton.get_instance",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "iot.DB.DBSingleton",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.APIView",
"line_number": 16,
"usage_type": "name"
},
{
... |
27920365767 | import pytest
from calvin.runtime.north.plugins.port import queue
from calvin.runtime.north.calvin_token import Token
from calvin.runtime.north.plugins.port.queue.common import QueueEmpty
from calvin.runtime.north.plugins.port.queue.test.test_collect_unordered import TestCollectUnorderedFIFO
pytest_unittest = pytest.m... | EricssonResearch/calvin-base | calvin/runtime/north/plugins/port/queue/test/test_collect_tagged.py | test_collect_tagged.py | py | 3,395 | python | en | code | 282 | github-code | 18 | [
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "calvin.runtime.north.plugins.port.queue.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "calvin.runtime.north.plugins.port.queue",
"line_number": 16,
"usage_type": "n... |
8169188641 | import argparse
import logging
import re
def update_version(version : str, file : str):
openedFile = open(file, "r")
fileContent = openedFile.read()
regex = r'^(\s*\"version\": )(\"[\d.]*\"),$'
newFileContent = ''
print(fileContent.splitlines()
)
for f in fileContent.splitlines():
match = re.fullmatc... | fga-eps-mds/2021.1-Pro-Especies-UserInterface | increase_version.py | increase_version.py | py | 1,140 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "re.fullmatch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 24,
"usage_type": "attribute"
}
] |
31861420209 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import defaultdict
import random
import numpy as np
from ray.rllib.env.async_vector_env import _DUMMY_AGENT_ID
class MultiAgentEpisode(object):
"""Tracks the current state of a (possibl... | llan-ml/tesp | ray/rllib/evaluation/episode.py | episode.py | py | 6,218 | python | en | code | 30 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "ray.... |
33756221161 | from PyQt5.QtWidgets import QMainWindow, QTableWidgetItem
from PyQt5.QtGui import QPainter, QPen, QFont, QColor
from PyQt5.QtCore import Qt, QPoint
from view.forms import ExplainForm
class ExplainView(QMainWindow):
TABLE_LABLE_TEMPLATE = "<html><head/><body><p><span style=\" font-size:16pt; font-weight:600;\... | KrasotskyMaxim/GIIS | view/explain.py | explain.py | py | 1,779 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "view.forms.ExplainForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.AlignCenter",
"line_number": 36,
"usage_type": "attribute"
},
{
... |
74011000039 | from __future__ import absolute_import, print_function
import cPickle, os, os.path, Queue, random, re, sys, traceback, threading, time, warnings
from thread import get_ident
from itertools import count
import logging
NOTSET = logging.NOTSET
DEBUG = logging.DEBUG
INFO = logging.INFO
WARNING = logging.WARNING... | buhtigexa/Nerit | lib/python2.7/site-packages/pony/logging2.py | logging2.py | py | 10,011 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "logging.NOTSET",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNIN... |
22575680086 | # -*- coding: utf-8 -*-
import scrapy
from selenium import webdriver
from ..items import WangyiproItem
class WangyiSpider(scrapy.Spider):
name = 'wangyi'
# allowed_domains = ['www.xx.com']
start_urls = ['http://war.163.com/']
def __init__(self):
self.bro = webdriver.Chrome(executable_path='D:\迅雷... | ym7/Somecodes | 爬虫/wangyiPro/wangyiPro/spiders/wangyi.py | wangyi.py | py | 1,231 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "items.... |
18478823632 | import requests
import sys
# SO, lets create a function to access the API
# Also lets create a function to find pairs of players
# Finally create a summoning function
def accessAPI():
# Gets a request summoning
# returns the list of NBA Players
response = requests.get('https://mach-eight.uc.r.appspot.com/'... | Kuraokami/mach-nba | nba/nba_finder.py | nba_finder.py | py | 1,560 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 45,
"usage_type": "attribute"
}
] |
39857598535 | import matplotlib.pyplot as plt
import matplotlib
import numpy as np
matplotlib.rcParams.update({'font.size':14, 'font.family':'sans-serif'})
fig,(ax2,ax) = plt.subplots(2,1,sharex=True)
colors = ['C0','C1']
with open('./data/result.data','rb') as fp:
for cn,state_size in enumerate([2,4]):
Ep = np.load(fp)... | mokchie/chemotaxis | nn-helix-nt/plot.py | plot.py | py | 1,978 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rcParams.update",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 5,
"usage_type": "call"
},
{
"api_n... |
18002760715 | import argparse
def parse():
parser = argparse.ArgumentParser(description="Parse and play card games.")
parser.add_argument("game", help="the name of the game")
parser.add_argument("--log", nargs="?", const="output.txt", metavar="FILENAME", help="logs the output of the game")
parser.add_argument('--deb... | SNHenderson/plm18 | proj3/src/utils/arg_parser.py | arg_parser.py | py | 467 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
}
] |
25089509296 | import csv
import cv2
import numpy as np
from keras.models import Sequential
from keras.layers import Flatten, Dense, Lambda, Cropping2D, BatchNormalization, Activation, Dropout
from keras.layers.convolutional import Conv2D
from scipy import ndimage
# 1) Read lines from driving_log.csv file
lines = []
print('Opening... | gyadam/behavioral-cloning | model.py | model.py | py | 3,524 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.imread",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line... |
42204631535 | import argparse
import os
import random
import shutil
from math import atan, pi, sqrt
import numpy as np
import open3d.ml as _ml3d
import open3d.ml.torch as ml3d
from open3d._ml3d import metrics
from open3d._ml3d.datasets.utils import BEVBox3D
from open3d.ml import datasets
def parse_args():
parser = argparse.Ar... | TerranL/REDSA-CAV | scripts/attacks/dora_attack.py | dora_attack.py | py | 13,225 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "open3d.ml.utils.Config.load_from_file",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "open3d.ml.utils",
"line_number": 65,
"usage_type": "attribute"
},
{
... |
37862995739 | from django.shortcuts import render, redirect
from django.contrib.auth import logout as auth_logout
from .forms import *
from django.views.generic import *
from .models import *
from django.contrib.auth.models import AnonymousUser
from django.http import HttpResponseRedirect
from django.conf import settings
from django... | chrishassert/textbook-exchange | main/views.py | views.py | py | 11,710 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 34,
"usage_type": "call"
},
{
"api_nam... |
12475598962 | import sys
import os
from datetime import timedelta
import random
import pymysql.cursors
pdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.abspath(pdir) )
from settings import SmartAlphaPath, debug, get_portf_suffix
sett = SmartAlphaPath()
sys.path.append(os.path.abspath( sett.g... | taatuco/sa_data_collection | portfolios/get_portf_alloc.py | get_portf_alloc.py | py | 12,116 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
33534492702 | from functools import cache
from collections import deque
import numpy as np
@cache
def _get_input(input_file):
with open(input_file, "r") as f:
return np.array([list(map(int, line.strip())) for line in f.readlines() if line.strip() != ""])
def part_1(input_file):
tree = _get_input(input_file)
... | jyates13/aoc2022 | 08/solve.py | solve.py | py | 2,011 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "functools.cache",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.zeros_like",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"l... |
72345081641 | #https://note.nkmk.me/python-opencv-face-detection-haar-cascade/
import cv2
import numpy as np
import sys
import os.path
def main():
#images = os.listdir("/Users/dennomaaya/Desktop/py/sei/") #ディレクトリのパスをここに書く
data_dir_path = u"/Users/dennomaaya/Desktop/py/cascade_directory/seikai"
file_list = os.listdir(r'/Users/den... | uni4/research | henkan.py | henkan.py | py | 907 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.path.splitext",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"lin... |
18360681523 | import requests
import pickle
from flask import Flask, render_template, request, redirect, url_for
from get_letters import get_letters
from get_hot_search_terms import hot_search_terms
from top_trends_by_keyword import top_N_trends
from trend_to_plot import trend_to_plot
app = Flask(__name__)
@app.route('/', methods=... | ericbarnhill/insight_app | app.py | app.py | py | 2,894 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "get_hot_search_terms.hot_search_terms",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_na... |
23172324775 | import sys
import os
from os.path import exists
import hashlib
import numpy as np
from pprint import pprint
from datetime import datetime
import json
import jsons
from mysql.connector import connect, Error
from Parameter import Parameter, intParameter, boolParameter, floatParameter, strParameter, listParameter, OutputP... | malcolm-dsider/GEOPHIRES-X | AdvGeoPHIRESUtils.py | AdvGeoPHIRESUtils.py | py | 22,719 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cryptography.fernet.Fernet.generate_key",
"line_number": 24,
"usage_type": "call"
... |
21260490588 | """
Tests for L{vor.beanstalk}.
"""
import time
from twisted.internet import reactor
from twisted.trial import unittest
from vor.graphite import FakeGraphiteProtocol
from vor.beanstalk import BeanstalkGraphiteService
class BeanstalkGraphiteServiceTest(unittest.TestCase):
def setUp(self):
self.collector... | mochi/vor | vor/test/test_beanstalk.py | test_beanstalk.py | py | 3,577 | python | en | code | 47 | github-code | 18 | [
{
"api_name": "twisted.trial.unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "twisted.trial.unittest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "vor.beanstalk.BeanstalkGraphiteService",
"line_number": 16,
"usage_type": "ca... |
9863095096 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Date ：2020/11/16 23:53
# Author：Lydia
from time import sleep
from appium import webdriver
from appium.webdriver.common.mobileby import MobileBy
from selenium.webdriver.support.wait import WebDriverWait
class TestWX:
def setup(self):
# 定义字典
caps = {
... | lydia008/hogwats15 | app/test_contact.py | test_contact.py | py | 3,126 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.common.mobileby.MobileBy.XPATH",
"line_number": 41,
"usage_type": "attribute"
... |
11724325001 | # Import TfidfVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
# Create a TfidfVectorizer: tfidf
tfidf = TfidfVectorizer()
# Apply fit_transform to document: csr_mat
csr_mat = tfidf.fit_transform(documents)
# Print result of toarray() method
print(csr_mat.toarray())
# Get the words: words
word... | Suchana34/Basics-of-Machine-Learning | unsupervised/clustering_wiki_articles.py | clustering_wiki_articles.py | py | 1,481 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.TruncatedSVD",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 34,
"usage_type... |
43561696178 | import prep
import torchvision
import torch
import time
traindir = "/data/pytorch-imagenet-data/train/"
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225])
transform = transforms.Compose([
transforms.RandomResizedCrop(224),
transforms.Random... | gpzlx1/dataloading | src/pytorch-loading/pytorch-src.py | pytorch-src.py | py | 1,363 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torchvision.datasets.ImageFolder",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "prep.transform",
"line_number": 24,
"usage_type": "attribute"
},
{
"ap... |
1316962405 | import pickle
from io import BytesIO
import requests
import yfinance as yf
from PIL import Image
from os import listdir
from os.path import isfile, join
curentList = []
import json, os
import pandas as pd
def makeDir():
curDir = os.getcwd()
try:
os.mkdir('sectorData')
os.mkdir('data')
... | brendan12372/djangoProject6 | pyFundamental/utils.py | utils.py | py | 17,958 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 25,
... |
69808893799 | from config import config
from main_profile import *
import psycopg2
def app():
try:
params = config()
connection = psycopg2.connect(**params)
cursor = connection.cursor()
postgreSQL_select_Query = "select * from names;"
cursor.execute(postgreSQL_select_Query)
pri... | TheWarDaddy/findmylawyer | dlpiper/lib/app.py | app.py | py | 1,296 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "config.config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "psycopg2.Error",
"line_number": 24,
"usage_type": "attribute"
}
] |
34358253994 | import pathlib
import setuptools
README = (pathlib.Path(__file__).parent / 'README.md').read_text()
install_requires = [
'pynvml==11.5.0',
]
setuptools.setup(
name='gpu_affinity',
version='0.1.0',
author='NVIDIA Corporation',
description='GPU Affinity',
long_description=README,
long_desc... | NVIDIA/gpu_affinity | setup.py | setup.py | py | 932 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
}
] |
35789976836 | from utils.args import args
from utils.formats import get_custom_format
from ast import literal_eval
import numpy as np
def convert_to_float(v, format):
if not 'nan' in v:
v = '0x' + v
CustomData = get_custom_format(format + '32')
data = CustomData(0.0)
d_t = data.from_bits(lit... | robalexlimas/posit_fp | utils/utils.py | utils.py | py | 1,650 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.formats.get_custom_format",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ast.l... |
30761118842 | # 用CCSCC那种记号来照合正解文
import re, os, csv
import pipei as pi
from pykakasi import kakasi
# 打标签的思路是：因为CCSS的符号是跟正解文对应的，跟识别结果不对应，这个是最大的难点，所以要做的是先去找标志文件里面的C,
# 也就是正确认识的部分，然后返回这些C的索引，然后根据索引去正解文中找被正确识别的单词，找到之后把单词顺序插入到一个list中去，
# 在用识别结果里的单词去对应这个list,按顺序一个单词一个单词地对，每成功对应上一个单词就从list中把这个单词删除掉，并获取这个单词
# 的帧数表，然后打上标签0，没有对应上的单词就... | shuyuqing/- | changyong/pipei_3.py | pipei_3.py | py | 9,608 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 60,
... |
38951910507 | import requests
from pathlib import Path
TOKEN_STORE = Path("./data/cispr_session")
class CisprSessionExpiredError(Exception):
pass
def get_global_token() -> str:
error = FileNotFoundError(
"No token file found"
f"Please make sure you've placed your token in {TOKEN_STORE.as_posix()}"
)... | Ben-Brady/BUAttendance | modules/cispr/session.py | session.py | py | 1,255 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
}
] |
10760175294 | from __future__ import annotations
from typing import Callable
from ndspy.rom import NintendoDSRom
from range_typed_integers import u32_checked, u16_checked
from skytemple_files.common.i18n_util import _
from skytemple_files.common.ppmdu_config.data import (
GAME_REGION_EU,
GAME_REGION_US,
GAME_REGION_JP... | SkyTemple/skytemple-files | skytemple_files/patch/handler/extract_move_code.py | extract_move_code.py | py | 6,799 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "skytemple_files.patch.handler.abstract.AbstractPatchHandler",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "skytemple_files.common.i18n_util._",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "skytemple_files.patch.category.PatchCategory.UTILI... |
6851594531 | #very quick write.
from __future__ import division
from Bio import SeqIO
Ns = open('contentNs.txt', 'w')
for sequence in SeqIO.parse('/home/muliano/VGP-running/pri.asm.20180817.fasta-buscos0', 'fasta'):
id = sequence.id
count1 = len(sequence)
countNs = sequence.seq.upper().count('N')
ou... | marcelauliano/phython_scripts | countNs.py | countNs.py | py | 397 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "Bio.SeqIO.parse",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 6,
"usage_type": "name"
}
] |
27420512657 |
import torch.nn as nn
import torch.nn.functional as F
class FCNet(nn.Module):
def __init__(self):
super(FCNet, self).__init__()
self.fc1 = nn.Linear(784, 500)
self.fc2 = nn.Linear(500, 120)
self.fc3 = nn.Linear(120, 10)
def forward(self, x):
out = self.fc1(x)
o... | uidmice/wssa-fall19-lab1 | models/fullyconnected.py | fullyconnected.py | py | 438 | python | en | code | 1 | github-code | 18 | [
{
"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.Linear",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
70122839721 | import logging
import os
import azure.functions as func
from azure.identity import DefaultAzureCredential
import openai
import json
from opentelemetry.sdk.trace import TracerProvider
from azure.monitor.events.extension import track_event
from azure.monitor.opentelemetry import configure_azure_monitor
from op... | implodingduck/azure-openai-function | func/HttpTrigger/__init__.py | __init__.py | py | 3,588 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "azure.monitor.opentelemetry.configure_azure_monitor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
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