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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43732887683 | from collections import deque
import sys
input = sys.stdin.readline
R = []
for _ in range(int(input())):
REV = False
ERR = False
F = input().strip()
N = input()
L = list(input().replace(
"[", "").replace("]", "").strip().split(","))
if L == [""]:
L = []
D = deque(L)
... | pokycookie/BAEKJOON | 5430.py | 5430.py | py | 927 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
1498550659 | #!/usr/bin/env python3
# dpw@plaza.localdomain
# 2023-09-19 19:17:00
import json
import sys
from dataclasses import dataclass
from pathlib import Path
from rich import inspect, print
class TrieNode:
def __init__(self, char):
self.char = char
self.is_end = False
self.children = {}
de... | darrylwest/python-play | algorithms/trie.py | trie.py | py | 2,205 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_num... |
6445310024 | from PyQt5 import QtWidgets, QtGui, uic
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QFileDialog, QTableWidgetItem
from PyQt5.QtSql import QSqlTableModel
from datetime import datetime
from . import utils
class ImportDialog(QtWidgets.QDialog):
def __init__(self, parent):
super(ImportDialog, self... | willnode/Arsipin | src/importDialog.py | importDialog.py | py | 4,887 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.uic... |
1538930426 | import logging
import numpy as np
__author__ = 'frank.ma'
logger = logging.getLogger(__name__)
class RdmBivariate(object):
@staticmethod
def __check_rho(rho: float):
if abs(rho) >= 1.0:
raise ValueError('rho (%.4f) should be smaller than 1' % rho)
@staticmethod
def draw_std(rho... | frankma/Finance | src/Utils/Sequence/RdmBivariate.py | RdmBivariate.py | py | 1,032 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.r... |
34185397192 | # FastApi einbinden für REST-Services
from fastapi import FastAPI, APIRouter
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
# JSON Serialisierung
import orjson
# Pangas zur Daten-Anaylse
import pandas as pd
# GeoPandas für geometrische Funktionen
import geopandas
# Für geometrisc... | veberle/MCS_Praktikum_Aufgaben | src/challenges/challenge4.py | challenge4.py | py | 2,364 | python | de | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.responses.JSONResponse",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "orjson.dumps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "fastapi... |
34694646391 |
import asyncio
import xml.etree.ElementTree as ET
from os import listdir, path
import json
import requests
import pynetbox
import json
from multiprocessing.dummy import Pool
from netaddr import IPAddress
import logging
import os
import filecmp
import re
import sys
import shutil
import time
from netmik... | AlexandrePoix/Projet_Netbox | Script_Netbox.py | Script_Netbox.py | py | 39,789 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "logging.INFO",... |
28905884657 | import csv
from datetime import datetime, date
from dateutil import parser
import os
import pytz
from app import db
from app.utils.editdiff import EditDiff, ChangedValue, ChangedRow
import logging
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.inspection import inspect
from sqlalchemy.orm import cl... | COVID19Tracking/covid-publishing-api | app/models/data.py | data.py | py | 17,043 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "sqlalchemy.inspection.inspect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.hybrid.hybrid_property",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "app.db.Model",
"line_number": 36,
"usage_type": "attribute"
},
... |
43047803864 | # !/usr/bin/env python
# coding: utf-8
import json
import elasticsearch
from elasticsearch.exceptions import NotFoundError
import uuid
from wildzh.utils.config import ConfigLoader
__author__ = 'zhouhenglc'
class ExamEs(object):
def __init__(self, es_conf):
cl = ConfigLoader(es_conf)
host = cl.g... | meisanggou/wildzh | wildzh/classes/exam_es.py | exam_es.py | py | 5,345 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "wildzh.utils.config.ConfigLoader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "elasticsearch.exceptions.NotFoundError",
"line_number": 75,
"usage_type": "n... |
653126704 | from flask import Blueprint
from flask import render_template,request,redirect,url_for
from models import product as pd
from .forms import ProductForm
from app import db
products = Blueprint('products', __name__, template_folder='templates')
@products.route('/', methods=['GET','POST'])
def index():
if request.me... | SVLozovskoy/flask-crm | products/blueprint.py | blueprint.py | py | 1,279 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.request.... |
16414347802 | #!/usr/bin/python
from optparse import OptionParser
import logging
from time import sleep
import random
import sys
from formats import formats
from messages import messages
parser = OptionParser()
parser.add_option("-m","--mode", dest="mode")
parser.add_option("-f", "--format", dest="format",
help... | tobinmori/fauxprox | foxprox.py | foxprox.py | py | 2,928 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "optparse.OptionParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "formats.formats",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "logging.get... |
23998377870 | from enum import Enum
from singleton import Singleton
from datetime import datetime
Circuitstate = Enum("Circuitstate", ["CLOSED", "OPEN", 'HALFOPEN'])
class CircuitOpenException(Exception):
pass
class Circuitbreaker(Singleton):
"""Circuitbreaker is singleton because if multiple functions are decorated
... | kousiknandy/cktbkr | circuitbreaker.py | circuitbreaker.py | py | 2,676 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "singleton.Singleton",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
34885760215 | import os
import imageio
import atexit
import math
from multiprocessing import Process, Queue
from gym.spaces import Box
from gym import utils
from gym.utils import seeding
import numpy as np
import mujoco_py
class PushObjectEnv(utils.EzPickle):
def __init__(self, frame_skip, max_timestep=3000, log_dir='', seed=... | keven425/robot-learn | rl/environment/push_object.py | push_object.py | py | 15,646 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gym.utils.EzPickle",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gym.utils",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
25047222226 | # -*-coding:utf-8 -*-
import os
import test
import functools
from unittest.loader import TestLoader
from baseCase.case import BaseTest
class BaseLoader(TestLoader):
def loadTestsFromTestCase(self, testCaseClass):
def isTestMethod(arr, testClass=testCaseClass):
return arr[:4].lower().startswit... | xiaoyaojushi/appium_auto_test | baseCase/baseSuite.py | baseSuite.py | py | 1,328 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.loader.TestLoader",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.di... |
26714078036 | import os
import numpy as np
import keras
from keras.engine.topology import Layer
from keras.models import Model
from keras.layers import Input, Flatten, Dense, Lambda, Reshape, Concatenate
from keras.layers import Activation, LeakyReLU, ELU
from keras.layers import Conv2D, Conv2DTranspose, UpSampling2D, BatchNormaliz... | tatsy/keras-generative | models/cvaegan.py | cvaegan.py | py | 12,613 | python | en | code | 123 | github-code | 1 | [
{
"api_name": "keras.backend.shape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "keras.backend.shape",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.backend",... |
43200983306 | from faker import Faker
from git_class.models_new.database import create_db, Session
from git_class.models_new.car import Car
from git_class.models_new.info_car import InfoCar
def create_database(load_fake_data=True):
create_db()
if load_fake_data:
_load_fake_data(Session())
def _load_fake_data(sess... | Mil6734/git_class | Python2/dz38/create_base.py | create_base.py | py | 801 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "git_class.models_new.database.create_db",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "git_class.models_new.database.Session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "git_class.models_new.car.Car",
"line_number": 17,
"usage_typ... |
3740386075 | import os
import torch
import torch.nn.functional as F
import glob
import imageio
import numpy as np
from utils.data_utils import get_image_to_tensor, get_mask_to_tensor
class DVRDataset(torch.utils.data.Dataset):
def __init__(self,
args,
mode,
list_... | xingyi-li/SymmNeRF | code/datasets/dvr_dataset.py | dvr_dataset.py | py | 8,219 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "torch.utils",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.long",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_n... |
25846744127 | # -*- coding: utf-8 -*-
from contextlib import contextmanager
try:
from typing import Type
except ImportError: # Python 2.x
pass
import redis
import datetime
from bitmapist4 import events as ev
class Bitmapist(object):
"""
Core bitmapist object
"""
# Should hourly be tracked as default?
... | Doist/bitmapist4 | bitmapist4/core.py | core.py | py | 8,248 | python | en | code | 21 | github-code | 1 | [
{
"api_name": "redis.StrictRedis",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "redis.StrictRedis.from_url",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "r... |
10813165237 | import flask
from flask import Flask,request , jsonify
from xyz import AddTwo as ad
app = Flask(__name__)
@ app.route('/')
def test():
return jsonify({"status":"ok"})
@ app.route('/parsename',methods=['GET'])
def test_name():
var_name = request.args.get("name")
return jsonify({"Entered name = ": var... | SaketJNU/software_engineering | rcdu_2750_practicals/rcdu_2750_flask.py | rcdu_2750_flask.py | py | 795 | python | en | code | 15 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
... |
45121110514 | # -*- coding: utf-8 -*-
import sys
import os
import json
import argparse
def print_rank_0(*args, **kwargs):
rank = int(os.getenv("RANK", "0"))
if rank == 0:
print(*args, **kwargs)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("module_name", type=str)
... | Oneflow-Inc/OneAutoTest | eager/AI_Writer/compare_speed_with_pytorch.py | compare_speed_with_pytorch.py | py | 1,978 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"lin... |
19578680978 | import os
from flask import Blueprint, request, make_response
from werkzeug.utils import secure_filename
from uploadFileTask import handle_file
from ..models import db,Products
import pandas as pd
#from uploadFileTask import handle_file
from multiprocessing.pool import ThreadPool as Pool
upload_products = Blueprint('u... | saxenakartik007/ACME | product_importer/routes/uploadProducts.py | uploadProducts.py | py | 2,808 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.pool.ThreadPool",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name... |
1155231342 | import pygame
class Ship:
def __init__(self, screen):
self.character = pygame.image.load('hw_images/ship_0009.png')
self.character_rect = self.character.get_rect()
self.screen_rect = screen.get_rect()
self.character_rect.center = self.screen_rect.center
self.ship_speed = 1.0... | m251434/alien_invasion | homework/AI_1/rocket.py | rocket.py | py | 2,184 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.image.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode... |
9628500098 | from django.conf.urls import include, url
from django.views.generic import RedirectView
from . import views
person = [
url(r'^$', views.PersonList.as_view(), name='person-list'),
url(r'^new/$', views.PersonCreate.as_view(), name='person-create'),
url(r'^(?P<pk>[^/]+)/$', views.PersonDetail.as_view(), name... | abertal/alpha | webapp/urls.py | urls.py | py | 4,421 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
4566060055 | from datetime import datetime, timedelta
from unittest.mock import AsyncMock
from framework.clients.cache_client import CacheClientAsync
from framework.di.service_collection import ServiceCollection
from clients.azure_gateway_client import AzureGatewayClient
from clients.email_gateway_client import EmailGatewayClient... | danleonard-nj/kube-tools-api | services/kube-tools/tests/test_gateway_clients.py | test_gateway_clients.py | py | 4,621 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tests.buildup.ApplicationBase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "framework.di.service_collection.ServiceCollection",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "unittest.mock.AsyncMock",
"line_number": 15,
"usage_type"... |
28852512367 | import tensorflow as tf
import matplotlib.pyplot as plt
cifar10=tf.keras.datasets.cifar10
(x_train,y_train),(x_test,y_test)=cifar10.load_data()
plt.imshow(x_train[0]) #绘制图片
plt.show()
print("x_train[0]:\n",x_train[0])
print(y_train)
print(x_test.shape)
| 1414003104/OldSheep_TensorFLow2.0_note | 13，卷积神经网络/CIfar10数据集.py | CIfar10数据集.py | py | 282 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tensorflow.keras",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplot... |
11211086355 | from conans import ConanFile, CMake, tools
from conans.errors import ConanInvalidConfiguration
import glob
import os
import shutil
required_conan_version = ">=1.32.0"
class VulkanValidationLayersConan(ConanFile):
name = "vulkan-validationlayers"
description = "Khronos official Vulkan validation layers for Wi... | SpaceIm/conan-vulkan-validationlayers | conanfile.py | conanfile.py | py | 5,098 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "conans.ConanFile",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "conans.tools.check_min_cppstd",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "conans.tools",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "conans.to... |
17316210746 | """
Flask: Using templates
"""
from asyncore import read
from re import M
from turtle import title
from setup_db import select_students, select_courses
import sqlite3
from sqlite3 import Error
from flask import Flask, render_template, request, redirect, url_for, g
app = Flask(__name__)
DATABASE = './database.db'
d... | m92kasem/VueJS-Flask-Full-Stack | assignment-6/app.py | app.py | py | 6,247 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.g",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "flask.g._database",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_nu... |
7417220562 | #!/usr/bin/env python3
from pydantic import BaseModel
from pydantic.schema import schema
from typing import Any
class dumClass(BaseModel):
A : str = 'Hello'
B : str = None
C: bool = False
def __init__(self, **data: Any):
print("dumClass was called")
super().__init__(**data)
pr... | GLYCAM-Web/gems | gemsModules/deprecated/Examples/Sample_Pydantic_Usage.py | Sample_Pydantic_Usage.py | py | 956 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 12,
"usage_type": "name"
}
] |
23985904341 | import hashlib
import math
import os
import re
import tkinter
import tkinter as tk
from tkinter import messagebox, filedialog
import threading
import pymysql
import tkinter as tk
from tkinter import ttk
import pandas as pd
from tkinter import filedialog
from openpyxl import Workbook
from tkinter import simpledialog
fro... | yahayaha001/mysql-table | app.py | app.py | py | 42,009 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymysql.connect",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Style",
... |
26443318875 | from django.shortcuts import render, redirect
from django.http import JsonResponse
from django.contrib.auth import get_user_model, login, logout
from django.contrib import messages
from . import forms, models
# Create your views here.
User = get_user_model()
def signup_view(request):
if request.GET.get('va... | jhonas-palad/permit-application-web | system_auth/views.py | views.py | py | 2,659 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 47,
"usage_type": "call"
},... |
74914202912 | import os
import tempfile
print(tempfile.gettempdir())
print(tempfile.gettempprefix())
with tempfile.TemporaryFile("w+") as tfp:
tfp.write("Some temp data")
tfp.seek(0)
print(tfp.read())
with tempfile.TemporaryDirectory() as tdp:
filepath = os.path.join(tdp, "tempfile.txt")
print(filepath)
... | cfleschhut/python-standard-library-essential-training-linkedin | files_and_directories/02_temporary_files_and_directories.py | 02_temporary_files_and_directories.py | py | 449 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tempfile.gettempdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tempfile.gettempprefix",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tempfile.TemporaryFile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tempfi... |
24673403788 | # This code is modified from https://github.com/haoheliu/DCASE_2022_Task_5
# This code is modified from DCASE 2022 challenge https://github.com/c4dm/dcase-few-shot-bioacoustic
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from src.models.meta_learning import BaseModel
from to... | wty0511/MSc_Individual_Project | src/models/TriNet.py | TriNet.py | py | 17,765 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "src.models.meta_learning.BaseModel",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": ... |
38785947998 | import cv2
import tensorflow as tf
import numpy as np
import mnist
import mnist_m
import svhn
import synthdigits
class DataInput(object):
def __init__(self, model_params, mnist_type, phase, is_train):
self.batch_size = model_params["batch_size"]
max_data_num = model_params["max_data_num"]
... | hanzhaoml/MDAN | mnist/mnist_data_input.py | mnist_data_input.py | py | 2,986 | python | en | code | 102 | github-code | 1 | [
{
"api_name": "mnist.Mnist",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mnist_m.MnistM",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "svhn.Svhn",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "synthdigits.SynthDigits",
"l... |
37129892634 | from ..dateparser import DateSearchStatus, AbstractDateParser
from .time_parser import TimeParser
from .after_minutes_parser import AfterMinutesParser
from .after_hours_parser import AfterHoursParser
from .relative_day_parser import RelativeDayParser
from .day_month_parser import DayMonthParser
from .week_day_parser im... | zolateater/reminder-bot | src/bot/dateparser/searcher.py | searcher.py | py | 2,341 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "time_parser.TimeParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "after_hours_parser.AfterHoursParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "after_minutes_parser.AfterMinutesParser",
"line_number": 19,
"usage_type": "ca... |
15189448225 | from Orange.misc.utils.embedder_utils import EmbedderCache
from Orange.util import dummy_callback
from orangecontrib.imageanalytics.utils.embedder_utils import ImageLoader
class LocalEmbedder:
embedder = None
def __init__(self, model, model_settings):
self.embedder = model_settings["model"]()
... | biolab/orange3-imageanalytics | orangecontrib/imageanalytics/local_embedder.py | local_embedder.py | py | 1,463 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "orangecontrib.imageanalytics.utils.embedder_utils.ImageLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Orange.misc.utils.embedder_utils.EmbedderCache",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Orange.util.dummy_callback",
"li... |
23462163944 | #!/usr/bin/python3
"""Networking with Python.
Similar to the "2-post_email.py" task but with
`requests`.
"""
import sys
import requests
if __name__ == "__main__":
if len(sys.argv) < 3:
sys.exit(1)
email = requests.post(
sys.argv[1],
data={"email": sys.argv[2]},
ti... | brian-ikiara/alx-higher_level_programming | 0x11-python-network_1/6-post_email.py | 6-post_email.py | py | 382 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16... |
27463864604 | import os
import argparse
from os.path import join
import cv2
import dlib
from PIL import Image as pil_image
from tqdm import tqdm
import numpy as np
from pathlib import Path
from dataset import image_paths, _find_images
def get_boundingbox(face, width, height, scale=1.3, minsize=None):
x1 = face.lef... | Aayushi0008/Deepfake-Detection | src/process_frames.py | process_frames.py | py | 4,282 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FPS",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_COUNT",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "... |
18203106433 | import logging
from ..conversions.types import decode_dict
from . import messages
from .. import settings
logger = logging.getLogger(__name__)
READS_QUEUES = ("os2ds_representations",)
WRITES_QUEUES = (
"os2ds_handles",
"os2ds_matches",
"os2ds_checkups",
"os2ds_conversions",)
PROMETHEUS_DESCRIPTION = ... | os2datascanner/os2datascanner | src/os2datascanner/engine2/pipeline/matcher.py | matcher.py | py | 3,213 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "conversions.types.decode_dict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "run_stage._compatibility_main",
"line_number": 83,
"usage_type": "call"
}
] |
37583544991 | import pygame
import itertools
screen_size = (1920, 1080)
# pastel pink
LOW_COLOR = (255,209,220)
# deep blue
MED_COLOR = (7, 42, 108)
# red
PARTY_COLOR = (255, 0, 0)
color_map = {
'LOW': LOW_COLOR,
'MED': MED_COLOR,
'PARTY': PARTY_COLOR
}
class VibeLight:
def __init__(self):
self.is_on = Fa... | shivenk78/Spotify-Mood-Detector | vibe_light.py | vibe_light.py | py | 556 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
25952493404 | from flask import Flask, render_template,request, redirect, session
app = Flask(__name__)
app.secret_key = 'what sup?'
# our index route will handle rendering our form
@app.route('/')
def index():
return render_template("index.html")
@app.route('/process', methods=['POST'])
def submit_survey():
print("Got Post... | THEWENDI/Dojo-Survey | server.py | server.py | py | 907 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
6208541600 | # -*- coding: utf-8 -*-
"""
usage:
$ baseline_taskAB.py gold_file system_file taskName
- gold_file and system_file are tab-separated, UTF-8 encoded files
- taskName is the name of the task (A|B)
"""
import argparse, sys
from sklearn.metrics import precision_recall_fscore_support as score
from sklearn.metri... | msang/haspeede | 2020/eval_taskAB.py | eval_taskAB.py | py | 1,742 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "sklearn.metrics.precision_recall_fscore_support",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_recall_fscore_support",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_numb... |
36579701554 | #!/usr/bin/env python
# coding: utf-8
# - Edge weight is inferred by GNNExplainer and node importance is given by five Ebay annotators. Not every annotator has annotated each node.
# - Seed is the txn to explain.
# - id is the community id.
import math
from tqdm.auto import tqdm
import random
import pandas as pd
imp... | eBay/xFraud | xfraud/supplement/07Learning_hybrid/ours_learn-grid-A.py | ours_learn-grid-A.py | py | 7,760 | python | en | code | 56 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "optparse.OptionParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.... |
19205793084 |
# Code from Chapter 3 of Machine Learning: An Algorithmic Perspective (2nd Edition)
# by Stephen Marsland (http://stephenmonika.net)
# You are free to use, change, or redistribute the code in any way you wish for
# non-commercial purposes, but please maintain the name of the original author.
# This code comes with no... | hiryou/ml-ludus | ludus/book_practice/ml_algo_pers/Ch3/pima_bare_ann.py | pima_bare_ann.py | py | 3,774 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 33,
"usage_type": "call"
},
{
"api_n... |
43753374625 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import cv2
import torch
import rospy
import numpy as np
from std_msgs.msg import Header
from sensor_msgs.msg import Image
from yolov5_ros_msgs.msg import BoundingBox, BoundingBoxes
from yolo_new.msg import Flag,Serial_RT
IsMoving = 0
SingleSortOK = 1
class Yolo_Dect:
... | Anxy02/Refuse-Classification-Machine | src/yolov5_ros/scripts/yolo_v5.py | yolo_v5.py | py | 8,438 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "rospy.get_param",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rospy.get_param",
... |
2819023333 | import pygame
import random
import math
import pygetwindow as gw
pygame.init()
# Configuración de la pantalla
screen_info = pygame.display.Info()
screen_width = screen_info.current_w
screen_height = screen_info.current_h
# Obtener todas las ventanas abiertas
windows = gw.getWindowsWithTitle('')
target_windows = [win... | SicerBrito/Scripts | Etica/bb/f.py | f.py | py | 1,917 | python | en | code | 13 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygetwindow.getWindo... |
23983252086 | import pygame
from MENU.Application import Application
from CORE.main_junction import core
#this class file served to activate the game with the selected paramters previously
class Play(Application):
def __init__(self, game):
Application.__init__(self, game)
self.player_parameters = [["PLAYER1","S... | SlyLeoX/Cyber-Puck | Cyberpuck_ReleaseDirectory/MENU/Play.py | Play.py | py | 866 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "MENU.Application.Application",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "MENU.Application.Application.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "MENU.Application.Application",
"line_number": 9,
"usage_type": "name"
... |
40826778374 | import datetime
import glob
import os
import subprocess
import numpy as np
import pandas as pd
import pose
import poses
import rosbag
# Forward errors so we can recover failures
# even when running commands through multiprocessing
# pooling
def full_traceback(func):
import functools
import traceback
@fu... | InnovativeDigitalSolution/NASA_astrobee | tools/graph_bag/scripts/utilities.py | utilities.py | py | 7,299 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "traceback.format_exc",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"li... |
41035568274 | import typing
from sqlalchemy import and_
from sqlalchemy import Boolean
from sqlalchemy import cast
from sqlalchemy import column
from sqlalchemy import DateTime
from sqlalchemy import false
from sqlalchemy import Float
from sqlalchemy import func
from sqlalchemy import Integer
from sqlalchemy import or_
from sqlalch... | sqlalchemy/sqlalchemy | test/typing/plain_files/sql/sql_operations.py | sql_operations.py | py | 4,144 | python | en | code | 8,024 | github-code | 1 | [
{
"api_name": "sqlalchemy.column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.column",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
30094361627 |
#### with lru caching method #########
from functools import lru_cache
@lru_cache(maxsize=16)
def fib(n):
if n<=2 :
return 1
return fib(n-1) + fib(n-2)
print(fib(50))
######################### with memoization technique #########
def fib(n,memo):
if (n in memo):
... | HemantJaiman/Dynamic_programming | fibonacci.py | fibonacci.py | py | 474 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "functools.lru_cache",
"line_number": 6,
"usage_type": "call"
}
] |
27487883436 | import sys
from cx_Freeze import setup, Executable
# Dependencies are automatically detected, but it might need
# fine tuning.
buildOptions = dict(
packages = [], excludes = [],
include_files = ['icon','toc'],
)
name = 'example'
if sys.platform == 'win32':
name = name + '.exe'
base = None
if sys.platform == ... | lugandong/PyQt5Fastboot | setup_cxfreeze.py | setup_cxfreeze.py | py | 638 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.platform",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cx_Freeze.Executable",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.se... |
31983782662 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch3d.ops import knn_points, ball_query
from .logger import logger
def index_points(points, idx):
"""
Input:
points: input points data, [B, N, C]
idx: sample index data, [B, S, [K]]
Return:
... | lixiny/POEM | lib/utils/points_utils.py | points_utils.py | py | 1,345 | python | en | code | 51 | github-code | 1 | [
{
"api_name": "torch.gather",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytorch3d.ops.ball_query",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logger.logger.warning... |
73865842594 | import asyncio
from supybot import callbacks, httpserver, log
from .helpers import github
# Import files that will hook themself up when imported
from .events import ( # noqa
commit_comment,
discussion,
issue,
pull_request,
push,
tag,
)
from .patches import gidgethub # noqa
from .protocols ... | OpenTTD/DorpsGek | plugins/GitHub/plugin.py | plugin.py | py | 1,760 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "supybot.httpserver.SupyHTTPServerCallback",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "supybot.httpserver",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "asyncio.run",
"line_number": 36,
"usage_type": "call"
},
{
"api... |
20165490930 | import pytest
import for_mocking
"""
1. Реализовать программу на Python. Программа может содержать любое количество методов и классов (>0), но обязательно должна иметь класс main.
2. Имитировать:
a. Метод созданного класса (метод не должен являться генератором).
b. Параметр внутри метода класса.
c. Класс.... | iwouldnote/travis_codecod_test | test_mocking.py | test_mocking.py | py | 2,227 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "for_mocking.Main",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "for_mocking.Main",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "for_mocking.Main",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "for_mocking.M... |
35915131671 | # Mathematics > Probability > Sherlock and Probability
# Help Sherlock in finding the probability.
#
# https://www.hackerrank.com/challenges/sherlock-and-probability/problem
# https://www.hackerrank.com/contests/infinitum-jul14/challenges/sherlock-and-probability
# challenge id: 2534
#
from fractions import Fraction
... | rene-d/hackerrank | mathematics/probability/sherlock-and-probability.py | sherlock-and-probability.py | py | 738 | python | en | code | 72 | github-code | 1 | [
{
"api_name": "fractions.Fraction",
"line_number": 25,
"usage_type": "call"
}
] |
17811262113 | #!/usr/bin/env python3
import numpy as np
import h5py
import argparse
import matplotlib
import matplotlib.pyplot as plt
import csv
import glob
import os
def get_dataset_keys(f):
keys = []
f.visit(lambda key : keys.append(key) if isinstance(f[key], h5py.Dataset) else None)
return keys
def plot(time, dat... | MichaelSt98/milupHPC | postprocessing/PlotMinMaxMean.py | PlotMinMaxMean.py | py | 3,358 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "h5py.Dataset",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
24477230064 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
from django.conf.urls import patterns, url
from .views import PromoDetail, PromoList, ChannelPromoList
urlpatterns = patterns(
'',
url(
r'^$',
PromoList.as_view(),
name='list_promos'
),
url(
r'^channel/(?P<channel__long_s... | opps/opps-promos | opps/promos/urls.py | urls.py | py | 646 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.PromoList.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
41292812898 | import decimal
import io
from nose.tools import assert_equal
import utcdatetime
from os.path import join as pjoin
from snipe import WatchListSnipesParser, parse_datetime
def test_get_snipes():
with io.open(pjoin('sample_data', 'watch_list.html')) as f:
parser = WatchListSnipesParser(f.read())
asser... | fawkesley/ebay-sniper | test_parser.py | test_parser.py | py | 1,241 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "io.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "snipe.WatchListSnipesParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_eq... |
73380743073 | import numpy as np
import pandas as pd
from sklearn.metrics import log_loss
from sklearn.model_selection import StratifiedKFold, StratifiedShuffleSplit
from keras.callbacks import ModelCheckpoint, Callback, EarlyStopping
from data_loader import get_data, generator
def cross_validation(model, X_train, X_train_angle, Y... | hzxsnczpku/nishiyami | train.py | train.py | py | 1,980 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.model_selection.StratifiedKFold",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.log_loss",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 45,
"usage_type": "call"
},
{
"api_na... |
15758517730 | from django.urls import path, include
from website.views import home, blog, perfil, login, acessar, cadastrar
urlpatterns = [
path('', home),
path('blog', blog),
path('login', login),
path('acessar', acessar),
path('perfil', perfil),
path('cadastrar', cadastrar),
]
| isadoraperes/projeto-demoday | website/urls.py | urls.py | py | 291 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "website.views.home",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "website.views.b... |
1990468444 | from msilib.schema import Error
import matplotlib.pyplot as plt
import numpy as np
import boto3
import os
def draw_chart(result, user_id, practice_id, gender):
w_min_jitter = 1.599
w_max_jitter = 2.310
w_min_shimmer = 7.393
w_max_shimmer = 12.221
m_min_jitter = 2.159
m_max_jitter = 3.023
m... | Sookpeech/django-analysis | sookpeech_analysis/analysis/make_chart.py | make_chart.py | py | 5,246 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "m... |
73428873635 | #!/usr/bin/env python
import time
import openstack
NODE_COUNT = 43
def get_connection():
# openstack.enable_logging(debug=True)
conn = openstack.connect()
return conn
def main():
conn = get_connection()
for i in range(NODE_COUNT):
name = "euclid-ral_compute_%d" % i
conn.delete_server... | astrodb/euclid-saas | delete_servers_euclid.py | delete_servers_euclid.py | py | 500 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "openstack.connect",
"line_number": 7,
"usage_type": "call"
}
] |
11720956852 | # -*- coding: utf-8 -*-
"""
Preppin' Data 2020: Week 9 - C&BS Co: Political Monitoring
https://preppindata.blogspot.com/2020/02/2020-week-9.html
- Input data
- Remove the Average Record for the polls
- Clean up your Dates
- Remove any Null Poll Results
- Form a Rank (modified competition) of the candidates pe... | kelly-gilbert/preppin-data-challenge | 2020/preppin-data-2020-09/preppin-data-2020-09.py | preppin-data-2020-09.py | py | 9,113 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.DateOffset",
... |
11196016804 | import sys
import pygame
import random
from src import hero
from src import enemy
class Controller:
def __init__(self, width=640, height=480):
"""
Initializes and sets up the game
args: self.width (int) Width (left to right) of the screen
self.height (int) Height (top t... | brianskim27/cs110 | ch-11-lab-brianskim27/src/controller.py | controller.py | py | 4,941 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surfac... |
23938708203 |
# A very simple Flask Hello World app for you to get started with...
import logging, sys
from flask import Flask, request
from CrapBot import Bot
crap_bot = Bot()
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello from Flask!'
@app.route('/bot', methods=['POST', 'GET'])
def bot():
update... | Markcial/CrapBot | flask_app.py | flask_app.py | py | 588 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "CrapBot.Bot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"li... |
74219528992 | from lyse import *
import matplotlib.pyplot as plt
import numpy as np
from scipy.optimize import curve_fit
import scipy.constants as constants
import AnalysisSettings
import SrConstants
from Subroutines.FitFunctions import gauss
from scipy import stats
camera = AnalysisSettings.Camera
pixelSize = SrConstants.pixelSiz... | Loki27182/userlib | analysislib/SrII/old_stuff/AnalysisMultishot.py | AnalysisMultishot.py | py | 5,763 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "AnalysisSettings.Camera",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "SrConstants.pixelSizeDict",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 48,
"usage_type": "call"
},
{
"api_name"... |
35076946414 | """
Harvester scripts
Currently only supports AVR atdf files
"""
# Python 3 compatibility for Python 2
from __future__ import print_function
import argparse
import textwrap
from xml.etree import ElementTree
from pymcuprog.deviceinfo.memorynames import MemoryNames
from pymcuprog.deviceinfo.deviceinfokeys import Devic... | SpenceKonde/megaTinyCore | megaavr/tools/libs/pymcuprog/deviceinfo/harvest.py | harvest.py | py | 12,647 | python | en | code | 471 | github-code | 1 | [
{
"api_name": "pymcuprog.deviceinfo.memorynames.MemoryNames.FLASH",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pymcuprog.deviceinfo.memorynames.MemoryNames",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pymcuprog.deviceinfo.memorynames.MemoryNames... |
32150920427 | from django.db.models import F
from django.contrib.auth.models import User
from lunchclub.models import AccessToken
class TokenBackend(object):
def authenticate(self, token=None):
try:
token = AccessToken.objects.get(token=token)
except AccessToken.DoesNotExist:
return None... | Mortal/django-lunchclub | lunchclub/auth.py | auth.py | py | 523 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "lunchclub.models.AccessToken.objects.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lunchclub.models.AccessToken.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "lunchclub.models.AccessToken",
"line_number": 9,
"usage_... |
42614393833 | import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# Global variables
csv_file = 'RealtimePlot.csv' # Replace with the path to your CSV file
update_interval = 1000 # Update plot every 1000 milliseconds (1 second)
fig, ax = plt.subplots()
ax2 = ax.twinx()
# Function t... | wendycahya/Yaskawa-Communication | IntegratedSystem/Realtime-Video.py | Realtime-Video.py | py | 1,139 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
28015752990 | # @time : 2020/7/12 16:35
# @author : HerbLee
# @file : finance.py
from sanic import Blueprint
from sanic.response import text
from models.funddb import FundDb, CurrentFund
fund = Blueprint("fund", url_prefix="/fund")
@fund.route("/get_data")
async def get_v2_data(request):
return text("it is finance")
... | HerbLee/dawning | api/finance/fund.py | fund.py | py | 931 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sanic.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sanic.response.text",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.funddb.FundDb.filter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models... |
17127249082 | import numpy as np
import pandas as pd
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
from multiprocessing import Pool
from functools import partial
from sklearn.model_selection import KFold
from MatrixFactorization import FactorizeMatrix, GetRepresentationError, CreateLatentVariables
from FeatureSi... | psturmfels/cfAD | CrossValidation.py | CrossValidation.py | py | 6,649 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "seaborn.set",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.uniform",
... |
22525745523 | '''
print out cmds for training and inference
'''
import argparse
import os
from DPR.dpr.utils.tasks import task_map, train_cluster_map, test_cluster_map
import random
import textwrap
from tqdm import tqdm
def wrap(cmd):
'''
wrap cmd
'''
bs = ' \\\n\t '
return bs.join(textwrap.wrap(cmd,break_lon... | microsoft/LMOps | uprise/get_cmds.py | get_cmds.py | py | 14,669 | python | en | code | 2,623 | github-code | 1 | [
{
"api_name": "textwrap.wrap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numb... |
42113373089 | import os
import PIL
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import ImageGrid
imgs = []
directory = "output/grids"
# for filename in os.listdir(directory):
# print(filename)
# image = PIL.Image.open(os.path.join(directory, filename))
# imgs.append(np.array(image))
f... | benjaminlyons/lear | display_grid.py | display_grid.py | py | 664 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
32434624148 | import logging
import os
import signal
import watchdog.events
import watchdog.observers.polling
import watchdog_gevent
# https://github.com/Bogdanp/dramatiq/blob/master/dramatiq/__main__.py
def setup_file_watcher(path, callback, use_polling=False):
"""Sets up a background thread that watches for source changes a... | geyang/ml_logger | scratch/old/vis_server_gevent_deprecated/file_watcher.py | file_watcher.py | py | 1,341 | python | en | code | 176 | github-code | 1 | [
{
"api_name": "watchdog.events.observers",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "watchdog.events",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "watchdog_gevent.Observer",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_... |
2014274942 | from datetime import datetime
from tqdm.auto import tqdm
import torch
import torch.nn as nn
from torch.nn.utils import clip_grad_norm_
from sklearn import metrics
import numpy as np
from model import VLPForTokenClassification, model_config_factory
from dataset import dataset_factory
from training.utils import get_toke... | filipbasara0/visual-language-processing | training/train_token_cls.py | train_token_cls.py | py | 13,267 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "train... |
4947865207 | import time
import unittest
import os
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class ITTroubleshooterSearchTest(unittest.TestCase):
def setUp(self):
caps = {'browserName': os.getenv('firefox', 'firefox')}
self.browser = webdriver.Remote(
command... | kumargaurav522/selenium | test2.py | test2.py | py | 1,003 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Remote",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
74736245474 | from flask import Blueprint,flash,url_for,redirect,render_template,request
from flask_login import login_required
from ksk.models import Pizza
from ksk import db
from ksk.pizza.utils import save_img_for_pizza
from ksk.pizza.forms import PizzaForm
pizzas = Blueprint('pizzas',__name__)
########## Pizza Upload #########... | ZiG-Z/KSK-Bakery | ksk/pizza/routes.py | routes.py | py | 1,280 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ksk.pizza.forms.PizzaForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ksk.models.Pizza",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ksk.pizza.u... |
3168586227 | import os
import csv
import glob
import json
import torch
import warnings
import itertools
import torchaudio
import numpy as np
from pathlib import Path
from tqdm import tqdm
from PIL import Image as PILImage
from itertools import cycle, islice, chain
from einops import rearrange, repeat
import multiprocessing as mp
i... | zhaoyanpeng/vipant | cvap/data/image_text.py | image_text.py | py | 6,470 | python | en | code | 19 | github-code | 1 | [
{
"api_name": "audio_text.AudioTextDatasetSrc",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "image.make_clip_image_transform",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_nam... |
70388329635 | # Libraries
import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import plotly.subplots as sp
# Global Variables
theme_plotly = None # None or streamlit
week_days = ['Monday', 'Tuesday', 'Wednesday',
'Thursday', 'Friday', 'Saturday', 'Sunday']
# Layout... | Kaizen-Step/The_Whales_of_Near | pages/2_🌌_Transaction.py | 2_🌌_Transaction.py | py | 15,724 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.r... |
33881074633 | from euclide import solve_chinese_remainders
from utils import timeit
@timeit
def get_data():
with open('input.txt') as input_file:
timestamp = int(input_file.readline())
buses = input_file.readline().strip().split(',')
return timestamp, buses
def get_time(timestamp, bus):
time = timesta... | bdaene/advent-of-code | 2020/day13/solve.py | solve.py | py | 1,351 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "utils.timeit",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils.timeit",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "euclide.solve_chinese_remainders",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "utils.timei... |
33578016636 | import numpy as np
import os, random
import cv2
import colorsys
from PIL import Image, ImageDraw, ImageFont
from pipeline.bbox import Box
def get_colors_for_classes(num_classes):
if (hasattr(get_colors_for_classes, "colors") and
len(get_colors_for_classes.colors) == num_classes):
return get_colors... | 11mhg/utils | draw/draw.py | draw.py | py | 2,604 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "colorsys.hsv_to_rgb",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.seed",
"lin... |
31257724932 | """
Create a chart showing movie recommendation frequencies and save as
an Altair JSON for displaying on a webpage
"""
import pandas as pd
import altair as alt
from sql_tables import connect_to_db, read_tables
from sql_tables import HOST, PORT, USERNAME, PASSWORD, DB
def create_frequency_chart(engine,
... | soil55/flannflix | frequency_chart.py | frequency_chart.py | py | 3,101 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sql_tables.read_tables",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "altair.Chart",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "altair.Color",
... |
2313246928 | from API_request import get_price
import telebot
url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
parameters = {
'start': '1',
'limit': '5000',
'convert': 'USD'
}
headers = {
'Accepts': 'application/json',
'X-CMC_PRO_API_KEY': 'CMC api-key',
}
bot = teleb... | axyzz/exrbot | main.py | main.py | py | 765 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "telebot.TeleBot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "API_request.get_price",
"line_number": 26,
"usage_type": "call"
}
] |
74584190434 | #-*- coding:utf-8 -*-
from torch.utils.tensorboard import SummaryWriter
from network import Generator, Discriminator
from toolbox import Train_Handler, parse
from dataset import Real_Data_Generator
from torch.utils.data import DataLoader
import torchvision.transforms as T
import torch.optim as optim
import numpy as np... | galaxygliese/Simple-Implementation-of-StyleGAN2-PyTorch | train.py | train.py | py | 3,100 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "toolbox.parse",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
29637290452 | import re
import types
from docutils import nodes
from sphinx.util.docutils import SphinxDirective
from . import xnodes
class UserRepository:
def __init__(self):
self._data = None
self._env = None
self._fullnames = None
def clear(self):
self._data = None
self._fullname... | h2oai/datatable | docs/_ext/xcontributors.py | xcontributors.py | py | 15,129 | python | en | code | 1,763 | github-code | 1 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sphinx.util.docutils.SphinxDirective",
"line_number": 173,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 186,
"usage_type": "call"
},
{
"api_name"... |
72490710755 | from collections import deque
class Solution:
def validUtf8( data: 'list[int]') -> bool:
start = 0
#data a deque for easy poping so that we can go through the list of nums effeciently
data = deque(data)
try:
while data:
#& means only the overlapping w... | lucasrouchy/validUTF | validUTF.py | validUTF.py | py | 2,379 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
71942633953 | # kdc server
from http.server import BaseHTTPRequestHandler, HTTPServer
import json
CLIENT_KEY="CLIENT_KEY"
TGS_KEY="TGS_KEY"
SERVER_KEY="SERVER_KEY"
CT_SK="CT_SK"
CS_SK="CS_SK"
DATA_SERVER='http://localhost:8002'
class MyHandler(BaseHTTPRequestHandler):
def SendRep(self, data):
self.send_response(200)... | WangWeiPengHappy/simple_kerberos | source/kdc.py | kdc.py | py | 2,319 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "http.server.... |
19031021092 | import pandas as pd
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier as RFC
from src.icll import ICLL
X, y = make_classification(n_samples=500, n_features=5, n_informative=3)
X = pd.DataFrame(X)
icll = ICLL(model_l1=RFC(), model_l2=RFC())
icll.fit(X, y)
probs = ic... | vcerqueira/blog | posts/class_imbalance_icll.py | class_imbalance_icll.py | py | 2,808 | python | en | code | 15 | github-code | 1 | [
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "src.icll.ICLL",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "skl... |
9378055793 | import os
import json
import time
import requests
from math import floor
import vlc
def download():
print('We need to download data from the web...one moment')
URL = "http://91.132.145.114/json/stations"
response = requests.get(URL)
if response.status_code == 200:
open("stations", "wb").write(r... | maccu71/projects | stacje.py | stacje.py | py | 2,542 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.getmtime",
"line... |
72556059235 | #!/usr/bin/python3
"""A Base class"""
import json
import turtle
import csv
class Base:
"""A Base class"""
__nb_objects = 0
def __init__(self, id=None):
"""constructor for Base class
Args:
id (int): an id attribute. Defaults to None.
"""
if id is not None:
... | Martin-do/alx-higher_level_programming | 0x0C-python-almost_a_circle/models/base.py | base.py | py | 5,721 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_numb... |
30171935940 | from objects.anyPage import anyPage
from objects.customParser import parser
from os.path import dirname, abspath
from configparser import ConfigParser
import json
class configurator:
def __init__(self,value):
configParser = ConfigParser()
self._configPath = dirname(dirname(abspath(__file__))) + "/config/config.... | giantpanda9/codesamples-python3-gevent-site-parser | objects/customCrawlerConfigurator.py | customCrawlerConfigurator.py | py | 2,833 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",... |
72780642275 | import os
import smtpd
import sys
import asyncore
import email
from email.header import decode_header
########################################################################
#
#
# IF YOU CHANGE THIS FILE, YOU HAVE TO REBUILD THE DOCKER CONTAINER
# THE CURRENT manual_run.py will not detect changes
#
#
###############... | bjcoleman/katacoda-scenarios | git-keeper-tutorial/assets/mysmtpd.py | mysmtpd.py | py | 2,486 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "smtpd.DebuggingServer",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "smtpd.DebuggingServer.__init__",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "smtpd.DebuggingServer",
"line_number": 37,
"usage_type": "attribute"
},
{
... |
988817178 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 27 17:18:39 2021
@author: Dell
"""
import pandas as pd
from sklearn.utils import shuffle
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import cross_val_score, cross_validate, cross_val_predict
from sklearn.model_selection import GridSea... | Slbalderrama/Phd_Thesis_Repository | Electrification_Path/Plot_Scenarios.py | Plot_Scenarios.py | py | 3,532 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
22025020858 | import networkx as nx
from random import randint
from math import exp
import numpy as np
from typing import List, Dict, FrozenSet, Iterator, Tuple
from pydantic import BaseModel
from .graph_utils import (
list_subsets_of_given_size,
pairs_of_sets,
)
class SubtreeData(BaseModel):
agg_root: int
agg_size... | sowiks2711/color-coding-subtree-isomorphism | color_coding/time_optimised_alg.py | time_optimised_alg.py | py | 8,360 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "networkx.Graph",
"line... |
17145656675 | import json
import flask
from flask import request
from datetime import datetime
import psycopg2
from flask import make_response
from werkzeug import exceptions
import waitress
app = flask.Flask(__name__)
def query(sql, *args):
with psycopg2.connect("dbname=nosp_walk user=postgres") as conn:
with conn.... | Nosp27/nosp-walk | backend/app_init.py | app_init.py | py | 2,329 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"lin... |
33577989736 | import os, sys
import torch
import torchvision as tv
import cv2
import numpy as np
from matplotlib import pyplot as plt
from dataset import coco_labels
def box_cxcywh_to_xyxy(box):
"""
Convert bounding box from center-size to xyxy format.
:param box: bounding box in center-size format
:return: bound... | 11mhg/theia-detr | utils.py | utils.py | py | 2,045 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.stack",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 69,
... |
31267879602 | from rest_framework.fields import IntegerField
from rest_framework.serializers import ModelSerializer, Serializer
from post.models import Post, PostLike
class PostCreateSerializer(ModelSerializer):
class Meta:
model = Post
fields = (
'id',
'text',
'author_id',
... | RomanDemianenko/starnavi | post/api/serialzers.py | serialzers.py | py | 754 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "post.models.Post",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 20,
"usage_type": "... |
25645483609 | # coding = utf-8
import os
import torch
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler, TensorDataset, Dataset)
class InputExample(object):
"""A single training/test example for simple sequence classification."""
def __init__(self, guid, _input, _output = None):
"""Constru... | BruceQ74/Basic_NLG | data_utils.py | data_utils.py | py | 6,353 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
30188716160 | import datetime
from util.util import CGreeks, CSingleOptHolding
from util.COption import COption
import pandas as pd
class COptHolding(object):
"""期权持仓类"""
def __init__(self, str_logfile_path=None):
"""
初始化持仓数据及持仓汇总希腊字母
class attributes:
holdings: {'code': CSingleOptHolding}
... | rafs/OptVolTrading | util/COptHolding.py | COptHolding.py | py | 18,040 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "util.util.CGreeks",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "util.COption.COption",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "util.util.CSingleOptHolding",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "da... |
38566374238 | import torch
import cv2
import numpy as np
import math
from sklearn.metrics import f1_score
from torch.autograd import Variable
from matplotlib.image import imread
# function for colorizing a label image:
def label_img_to_color(img: torch.Tensor):
# label_to_color = {
# 0: [128, 64,128],
# 1: [24... | ZombaSY/Pore-Net-release | models/utils.py | utils.py | py | 27,246 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.where",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "cv2.applyColorMap",
"l... |
5065913081 | """Transforms for preprocessing images during data loading"""
import PIL
import torch
import copy
import numpy as np
def img_pad(img, mode='warp', size=224):
"""
Pads a given image.
Crops and/or pads a image given the boundries of the box needed
img: the image to be coropped and/or padded
bbox: th... | DongxuGuo1997/TransNet | src/transform/transforms.py | transforms.py | py | 6,739 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "PIL.Image",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.new",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_num... |
42894401315 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 16 17:57:13 2019
@author: jcunanan
"""
#######################################
# Problem Description
#Bob the Adventurer is one step away from solving the mystery of an ancient Mayan tomb.
#He just approched the secret chamber where the secre... | j-cunanan/Fun-Algorithm-Problems | Destroy_all_statues.py | Destroy_all_statues.py | py | 3,311 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sympy.Point2D",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "sympy.Point2D",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "sympy.Point2D",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "sympy.Point2D",
"line_n... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.