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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
45785657546 | import re
import mmh3, base64, sys, os, time, platform
import requests, argparse, socket
from urllib.parse import urlparse
from requests.exceptions import RequestException
import urllib3
urllib3.disable_warnings()
# shodan_cli_api_key and URL_LIST var can be also setted manually bellow.
shodan_cli_api_key = ""
URL_LI... | torsh4rk/favicon_hash_shodan | favicon_shodan.py | favicon_shodan.py | py | 9,343 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "base64.encodebyt... |
28246082829 | from tx_js.utils import utils
import pandas as pd
import json
class model_data_process:
def __init__(self, config):
self.fea_config = config['fea_config']
self.data = pd.read_csv(config['data_path'])
def deal_min_max_(self):
print('*' * 10, 'min_max', '*' * 10)
min_max_config = ... | nolxf1/tx_js | tx_js/data_process/model_data_process.py | model_data_process.py | py | 2,992 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tx_js.utils.utils.min_max_feature_",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tx_js.utils.utils",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "t... |
41630277364 | import pandas as pd
import os
from pathlib import Path
import logging
import warnings
from utils import *
warnings.filterwarnings("ignore")
MODE_MAPPING = {
"car": "pv",
"car_passenger": "pv",
"bus": "pt",
"rail": "pt",
"ferry": "pt",
"walk": "active",
"bike": "active",
"freight": "fr... | tringuyenarup/monty-data-visualization | src/trips_metrics.py | trips_metrics.py | py | 6,617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pandas.D... |
23976458337 | # -*- coding: utf-8 -*-
"""
Created on Mon Aug 10 17:57:30 2020
@author: vinhe
"""
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from bs4 import BeautifulSoup
import pandas as pd
import time
url = 'https://www.ukclimbing.com/logbook/books/dorset-1045'
dr... | vince-lam/climbing-crag-selection | ukc_crag_scraper.py | ukc_crag_scraper.py | py | 2,347 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.s... |
35971337923 | import enum
import obspython #pyright: ignore [reportMissingImports]
import serial
class _Events(enum.IntEnum):
NONE = 0
STREAMING = 1
RECORDING = 2
STREAMING_AND_RECORDING = 3
def start_streaming(self):
if self is self.NONE:
new_state = self.STREAMING
elif self is self... | kiransingh99/OBS-tally | src/tally.py | tally.py | py | 2,416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "obspython.OBS_FRONTEND_EVENT_STREAMING_STARTING",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "obspython.OBS_FRONTEND_EVENT_STREAMING_STOPPED",
"line_number": 57,
... |
71277508668 | import os, sys
sys.path.append(os.path.dirname(__file__))
from config import setting
import unittest, time
from reportTemplate.HTMLTestRunnerCN import HTMLTestRunner
# 测试报告存放文件夹，如不存在，则自动创建一个report目录
if not os.path.exists(setting.TEST_REPORT):
os.makedirs(setting.TEST_REPORT + '/' + "screenshot")
def add_case(test... | r3fR4in/psuy-test-demo | run_test.py | run_test.py | py | 1,128 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
21040640825 | import sys
from PyQt5.QtWidgets import QApplication, QWidget, QDoubleSpinBox, QSpinBox, QHBoxLayout
from PyQt5.QtCore import Qt
'''
建立視窗
'''
class MyClass(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setWindowTitle("hihi")
self.resize(... | yongjiechou/chouyj | yongjie0706.py | yongjie0706.py | py | 921 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QSpinBox",
"line_number": 19,
"usage_type": "call"
},
{
"api_... |
39028062819 | import json
import argparse
from typing import Literal
import requests
from time import sleep
from datetime import datetime
from paramiko import AutoAddPolicy, SFTPClient, SSHClient
def get_ssh_client(ssh_host: str, ssh_usr: str, ssh_pwd: str = None) -> SSHClient:
ssh = SSHClient()
ssh.set_missing_host_key_po... | omirete/free-live-news | automations/update_news_videos_list.py | update_news_videos_list.py | py | 6,033 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "paramiko.SSHClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "paramiko.AutoAddPolicy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "paramiko.SSHClient",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "paramiko... |
7467820805 | import logging
from dataclasses import asdict
from http import HTTPStatus
from aiohttp import web
import aiohttp
from ..Avatar.avatar import Avatar
from ..AvatarProcessor.avatar_processor import AvatarProcessor, LookStringVersionException
from ..server.config import Config
class HTTPHandler:
def __init__(
... | leecs0503/maple-cody-recommendation-system | src/AvatarServer/server/http_handler.py | http_handler.py | py | 6,047 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "logging.Logger",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "server.config.Config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "AvatarProcessor.avatar_processor.AvatarProcessor",
"line_number": 18,
"usage_type": "name"
},
... |
74537475388 | import numpy as np, cv2
# 라디안 각도가 필요(20도 회전)
theta = 20 * np.pi / 180
rot_mat = np.array([[np.cos(theta), -np.sin(theta)],
[np.sin(theta), np.cos(theta)]], np.float32)
pts1 = np.array([(250, 30), (400, 70),
(350, 250), (150, 200)], np.float32)
# rot_mat * pts1 을 계산하여 회전변환된 행렬을 구함... | binlee52/OpenCV-python | ch05/19.point_transform.py | 19.point_transform.py | py | 757 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.pi",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 5,
... |
8233513096 | import json
#10-6 加法运算
"""
print("Please input two number\n")
try:
x = int(input("first number:\n"))
y = int(input("second number:\n"))
except ValueError:
print("Sorry, I really needed a number.")
else:
sum = x + y
print("The sum of " + str(x) + " and " + str(y) + " is " + str(sum) + ".")
#10-7
... | coryeleven/learn_python | file_exception/execption.py | execption.py | py | 2,032 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dump",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 74,
"usage_type": "call"
}
] |
16492848867 | from __future__ import annotations
import pygame
from typing import Optional
from settings import *
class Actor:
"""
A class to represent all the game's actors. This class includes any
attributes/methods that every actor in the game must have.
This is an abstract class. Only subclasses should be inst... | kimber1y-tung/CSC148 | a1/code/actors2.py | actors2.py | py | 13,670 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.Surface",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surfac... |
27679934780 | """The main stript to call the imgCIF creator.
"""
import sys
import os
import re
import click
import CifFile
from imgCIF_Creator.output_creator import imgcif_creator
from imgCIF_Creator.command_line_interfaces import parser
def validate_filename(filename):
"""Checks if the input string is a) a folder containin... | COMCIFS/instrument-geometry-info | Tools/imgCIF_Creator/imgCIF_Creator/creator.py | creator.py | py | 6,366 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 24,
... |
14093508629 | from cProfile import label
from django import forms
from django.forms import ModelForm
from .models import File
class FileForm(ModelForm):
class Meta:
model = File
fields = ["file",]
labels = {
"file": ""
}
widgets = {
'file': forms.FileInput(attrs={'class': 'upload'}),
}
| omaralsakka/Bluugo-exercise | app1/forms.py | forms.py | py | 293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.File",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.FileInput",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
23139443318 | from djoser.serializers import UserCreateSerializer, UserSerializer
from drf_extra_fields.fields import Base64ImageField
from rest_framework.validators import UniqueTogetherValidator
from users.models import User, Follow
from .models import Recipes, Tags, Ingredient, FavoriteUser, ShopCart, \
IngredientForRecipe
fr... | salbadys/foodgram-project-react | backend/api/serializers.py | serializers.py | py | 8,635 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.Recipes",
"line_number": 14,
"usage_type": "name"
},
... |
9661144523 | from collections import deque
import sys
input = sys.stdin.readline
def bfs(v, visited, A):
q = deque()
q.append(v)
visited[v] += 1
while q:
node = q.popleft()
for i in A[node]:
if visited[i] == -1:
visited[i] = visited[node] + 1
q.append(i)... | java-squid/lets-algorithm | 08--graph/han/baekjoon/18352.py | 18352.py | py | 1,280 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
35084977431 |
import xml.etree.cElementTree as ET
import pprint
osm_file = open("raleigh_north-carolina.osm", "r")
def count_tags(file):
"""
Parses through tags and adds tags to the dictionary
after calling the add_tag function
"""
tag_names = {}
for event, elem in ET.iterparse(file, events=("start",)):
add_tag(e... | kadc87/P3-Wrangle-OpenStreetMap-Data | audit.py | audit.py | py | 591 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xml.etree.cElementTree.iterparse",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xml.etree.cElementTree",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pprint.pprint",
"line_number": 30,
"usage_type": "call"
}
] |
26972696011 | import execjs
import time
import requests
with open('2.js', 'r', encoding='utf-8') as f:
line = execjs.compile(f.read())
total = 0
times = 0
for i in range(1, 6):
t = int(time.time()) * 1000 + 100000000
mm = line.call('get_m',str(t))
params = {
'page': i,
'm': str(mm) + '丨'... | DennisDing-CN/yuanrenxue_1 | yuanrenxue_2/2.py | 2.py | py | 753 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "execjs.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
}
] |
39654580074 | import os
os.environ['CUDA_VISIBLE_DEVICES'] = '7'
import logging
import engine.hooks as hooks
from engine.launch import launch
from engine.defaults import DefaultTrainer, default_setup, default_argument_setup
from datasets.segmentation.builder import build_segmentation_train_loader
from datasets.segmentation.builder... | lqxisok/llSeg | exp/train_cityscapes.py | train_cityscapes.py | py | 4,715 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "engine.defaults.DefaultTrainer",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "datasets.segmentation.builder.build_segmentation_train_loader",
"line_number": 30,
"usage_t... |
14923981687 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import os
import os.path
import json
import hashlib
import httplib2
import base64
class SpiderPipeline(object):
def __init__(self, store_uri, post_ur... | 1nforimcon5ultin9/5pid3r | spider/spider/pipelines/basic.py | basic.py | py | 1,583 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_... |
31192539431 | '''
Created on Jan 20, 2023
@author: Miguel
This class lets the manage of 2B_MatrixElement suite to obtain hamiltonians
TODO: should be used to obtain the hamiltonian files, can be called from runner
setUp's in case there are no seeds.
'''
import os
import subprocess
import shutil
import xml.etree.ElementTree ... | migueldelafuente1/taurus_tools | tools/hamiltonianMaker.py | hamiltonianMaker.py | py | 14,505 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tools.helpers.TBME_SUITE",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "tools.helpers.GITHUB_2BME_HTTP",
"line_number": 78,
"usage_type": "argument"
},
{
"api_name":... |
3814009951 | import argparse
import os
import importlib
from datetime import datetime
from typing import Union, Callable
import gymnasium as gym
import deepspeed
import numpy as np
import torch
import torch.nn as nn
import torch.distributed as dist
from torch.distributions import Normal
from deepspeed.runtime.pipe.topology import ... | bigrl-team/gear | examples/offline/single-node/main.py | main.py | py | 5,184 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "deeps... |
1921549266 | import pyomo.environ as pe
from utils.properties import calc_beta_psa
from samples.separator import Separator
class PSA():
"""
Pressure Swing Adsorption
Must be combined with "Separator"
stream_in: Input stream, object of class 'stream'
stream_prod: Output stream, object o... | jkleinekorte/millgas2what | src/samples/psa.py | psa.py | py | 1,674 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyomo.environ.Block",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyomo.environ",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "samples.separator.Separator",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pyomo.e... |
2130581094 | import email
import imaplib
import smtplib
from email.mime.text import MIMEText
from email.utils import formataddr, make_msgid
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders
from textwrap import dedent
from email import encoders
from utils.configs import *... | nqbinhcs/Remote-Desktop-via-Mail | src/utils/receiver.py | receiver.py | py | 10,714 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "smtplib.SMTP_SSL",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "imaplib.IMAP4_SSL",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "email.message_from_bytes",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "email.mes... |
27009516728 | import numpy as np
import run as r
'''
[id]
109
[name]
LinearSVC
[input]
x_train 训练集 训练集标签数据集 二维数组 必须 定数
y_train 测试集 测试集数据集 二维数组 必须 定数
x_test 训练集标签 训练集标签标签 一维数组 必须 定数
y_test 测试集标签 测试集标签 一维数组 必须 定数
penalty 惩罚 默认为l2,指定惩罚中使用的规范。罚款是SVC中使用的标准。 'l2'导致稀疏的'coef_' vector,可选'l2','l1' 字符串 不必须 定数
loss 损失函数 默认为squared_hinge,指定损... | lisunshine1234/mlp-algorithm-python | machine_learning/classification/support_vector_machines/LinearSVC/main.py | main.py | py | 6,263 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "run.run",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 1... |
4406041221 | import sys
from enum import Enum
class Move(Enum):
LEFT_TO_MID = 1
MID_TO_LEFT = 2
MID_TO_RIGHT = 3
RIGHT_TO_MID = 4
class Stack:
def __init__(self):
self.s = []
def push(self, data):
self.s.append(data)
def pop(self):
return self.s.pop()
def empty(sel... | guzhoudiaoke/data_structure_and_algorithms | coding_interview_guide/1_stack_and_queue/6_solve_tower_of_hanoi_using_stack/solve_tower_of_hanoi_using_stack.py | solve_tower_of_hanoi_using_stack.py | py | 4,406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.maxsize",
"line_number": 118,
"usage_type": "attribute"
},
{
"api_name": "sys.maxsize",
"line_number": 119,
"usage_type": "attribute"
},
{
"api_name": "sys.maxsize",
"line_... |
43534668351 | import glob
import json
from collections import defaultdict
from tabulate import tabulate
import numpy as np
import pandas as pd
import math
from metric.smd_scorer import score_SMD
data = defaultdict(lambda: defaultdict(list))
for name in glob.glob('generations/smd-*.json'):
parse = name.replace("generation/",""... | andreamad8/FSB | utils/merge_file_smd.py | merge_file_smd.py | py | 2,407 | python | en | code | 119 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_num... |
20565331206 | from prompt_toolkit import prompt
from prompt_toolkit.completion import Completion, Completer
class NestedCompleter(Completer):
def __init__(self, words_dic=None, meta_dict=None, ignore_case=True, match_middle=True):
if meta_dict is None:
meta_dict = {}
if words_dic is None:
... | BlueRhino/TroyCat | troy_platform/common/cli/completer.py | completer.py | py | 2,073 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "prompt_toolkit.completion.Completer",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "prompt_toolkit.completion.Completion",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "prompt_toolkit.prompt",
"line_number": 59,
"usage_type": "call"
... |
22463368310 | ## Splits up the existing images in Kodak_Full_Images into training data and labels
## creates .npy files corresponding to train/test inputs and labels in the './data' folder
## This only needs to be run ONCE after cloning the repository
import random
import os
from PIL import Image #install using 'pip install Pillow'... | OrenKohavi/DeepLearning-FinalProject | create_data.py | create_data.py | py | 6,909 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.isdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
37288437240 | import webbrowser
import requests
from Decorator import prStyle
from suggestor import suggestor
def openre(u):
reg="sastra.edu"
u=u+"2"
h1="X-Forwarded-Scheme"
h2="X-Forwarded-Host"
r=requests.get(u,headers={"X-Forwarded-Scheme":"http","X-Forwarded-Host":"sastra.edu"},allow_redirects=Fals... | ramsundar07/Web-Cache-Vulnerability-Scanner | scanner.py | scanner.py | py | 1,572 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Decorator.prStyle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Decorator.prStyle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Decorator.prStyle",
... |
39433359856 | from bs4 import BeautifulSoup
import requests
response = requests.get(url="https://news.ycombinator.com")
response.raise_for_status()
soup = BeautifulSoup(response.text, "html.parser")
item_a_tag = soup.findAll("a", class_="storylink")
score_span_tag = soup.findAll("span", class_="score")
item_list_text = [i.getText... | svrohith9/100-days-python | Day45/main.py | main.py | py | 723 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
72066998909 | from .behavior import Behavior
from ..tools import Factory
class LinearElastic(Behavior):
def __init__(self):
Behavior.__init__(self)
def installRequires(self):
self._coeffs_req = ["elasticity",]
self._dual = "sig"
self._require = [("eto", "tensor2"),("sig", "tensor2")]... | basileMarchand/pyfetra | pyfetra/behavior/linearElastic.py | linearElastic.py | py | 650 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "behavior.Behavior",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "behavior.Behavior.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "behavior.Behavior",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tools.Fac... |
34198676226 | import socket
import argparse
from hashlib import md5
import math
from lab6 import proto
prev_seq = ""
def create_ranges(genome_len: int, num_ranges: int):
sequences = {}
offsets = [int]
counter = [0]
prev_counter = [0]
# generating starting sequences
def seq_gen(length=4, seq="", trigger: i... | sbogolepov/nsu_network_vol2 | lab6/server.py | server.py | py | 2,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.ceil",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number... |
24410877195 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 1 19:09:58 2023
@author: megha
"""
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 1 19:13:36 2020
@author: bvv
"""
from flask import Flask, request, jsonify, render_template
import pickle
import numpy as np
app = Flask(__name__)
model_pkl = pick... | Meghana0804/Hotel_review | file.py | file.py | py | 1,311 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "flask.request.form.valu... |
73693762108 | import lightgbm
import numpy as np
import xgboost
from sklearn.ensemble import RandomForestRegressor, AdaBoostRegressor, GradientBoostingRegressor, BaggingRegressor
from sklearn.linear_model import LinearRegression, Lasso, Ridge
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error, mean_absolut... | Spatio-Temporal-Lab/stknnjoin | stknnjoin_knob_tuning/model.py | model.py | py | 3,677 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "xgboost.XGBRegressor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.r2_score",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 57,
"usage_type": "call"
},
{
"... |
30047027068 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import math
def plot_2Dhist(config_filename='ionorb_stl2d_boris.config'):
print("Reading config file: %s ..." % config_filename)
## defaults:
out_fname = "./out.hits.els.txt"
dPhi = 0.0 ## radian shift of stl file coord system... | cms21/fusion_compute | analysis/fusion_plots.py | fusion_plots.py | py | 7,689 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.fromstring",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.fromstring",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"... |
21529755500 | import logging
from azure.graphrbac import GraphRbacManagementClient
from azure.graphrbac.models import GraphErrorException
from sonrai.platform.azure.client import ManagedIdentityClient
def run(ctx):
object_id = ctx.resource_id
graphrbac_client = ctx.get_client().get(GraphRbacManagementClient)
try:
... | sonraisecurity/sonrai-bots | remediation/azure/delete_identity/bot.py | bot.py | py | 1,843 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "azure.graphrbac.GraphRbacManagementClient",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "azure.graphrbac.models.GraphErrorException",
"line_number": 18,
"usage_type": ... |
3359577537 | from pathlib import Path
from typing import List
import numpy as np
import pandas as pd
from lightfm import LightFM
from lightfm.data import Dataset
from evaluator import Evaluator
from preprocessor import preprocess_yahoo_coat, preprocess_movielens
def lightfm_trainer(
train: np.ndarray, loss: str, n_components... | usaito/dr-ranking-metric | src/simulator.py | simulator.py | py | 6,549 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "lightfm.LightFM",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lightfm.data.Dataset",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.List",... |
14097274700 | from django.db import models
from django.contrib.auth import get_user_model
User = get_user_model()
# Create your models here.
class UProfile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, primary_key=True)
current_point = models.IntegerField(default=0)
class PraiseHistory(mode... | takuyakubo/skill_profiler | user_profile/models.py | models.py | py | 636 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_... |
2424194484 | import re
from collections import defaultdict
def check_name(name: str) -> bool:
return re.fullmatch(r'[\da-zA-Z]*', name) is not None
def get_file(directory: list, path: str):
file_dict = defaultdict(int)
for file in directory:
file_dict[file] += 1
max_file_name = ""
for file in file_di... | mas678/Test_func | main.py | main.py | py | 1,507 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.fullmatch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
21405819020 | # 파이썬의 with 문은 코드를 특별한 컨텍스트 에서 실행함을 나태는 데 사용한다.
# contextlib 를 사용하면 객체와 함수를 with 문에 사용할 수 있게 만들기가 쉽다.
# 이 모듈은 간단한 함수를 with 문에 사용할 수 있게 해주는 contextmanager 데코레이터를 포함한다.
# 이 데코레이터를 이용하는 방법이 __enter__ 와 __exit__ 라는 특별한 메서드를 담은 새 클래스를 정의하는 방법 보다 훨씬 쉽다.
import logging
from contextlib import contextmanager
def my_functio... | byunseob/python-study | 파이썬 코딩의 기술/chapter-06-Built-in module /43. Consider contexlib and with statements to create reusable try finally behavior/main.py | main.py | py | 2,151 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "logging.debug",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"li... |
16809270764 | # /usr/local/bin/python
# -*- coding: utf-8 -*-
import logging.config
from tools.tool_ichikawa import IchikawaModule
logging.config.fileConfig("log.conf")
### 予約カゴを空にする
def main():
tool = IchikawaModule(sleep=3)
result = tool.clear_reserve_basket()
if result: # 成功
logging.info("Succeeded in clearing rese... | sarcastic555/library_reservation | clear_reserve_basket.py | clear_reserve_basket.py | py | 470 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.config.config.fileConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.config.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.config",
"line_number": 7,
"usage_type": "name"
},
{
"api_name"... |
42092032116 | from fastapi import APIRouter, HTTPException, Depends
from starlette.responses import JSONResponse
from starlette.status import HTTP_201_CREATED
import crud
from Schema import RequestUser, Response
from config import sessionLocale
from sqlalchemy.orm import session
user_router = APIRouter()
def get_db():
db =... | tbougares/piece-api | rooterUser.py | rooterUser.py | py | 848 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.sessionLocale",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Schema.RequestUser",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.... |
30518317763 | from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def generateTrees(self, n: int) -> List[TreeNode]:
return self.helper(1,n)
... | Joel-Hwang/leetcode | Python3/_95_UniqueBinarySearchTreesII.py | _95_UniqueBinarySearchTreesII.py | py | 761 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
}
] |
15992328590 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
'''
@Project -> File ：Spam-Filtering -> bayes
@IDE ：PyCharm
@Author ：Yilin Lou
@Date ：5/5/20 7:27 下午
@Group ：Stevens Institute of technology
'''
import time
import nltk
import ssl
import time
# try:
# _create_unverified_https_context = ssl._create_unverified_co... | fengzechen0615/Spam-Filtering | Bayes/bayes.py | bayes.py | py | 5,814 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "num... |
9163769015 | '''
===============================================================================
National Hurricane Center WeeWX API
Module: Data Puller
Purpose: This library
pip libraries we need to install: sqlalchemy, pytz, requests, bs4, configobj, lxml
=====================================================================... | ddjlabs/nhc-data-parser | app/nhc_data_puller.py | nhc_data_puller.py | py | 7,669 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.StreamH... |
34691212543 | from functions_indexing import *
import time
import datetime
import multiprocessing
# name of the index, change which one is commented if you want to change which one to index
INDEX_NAME = 'abstracts'
# settings for how it should look like
INDEX_SETTINGS = {
"mappings": {
"properties": {
"desc... | sbthepotato/DAT640-Project-22H | indexing/abstracts_index.py | abstracts_index.py | py | 1,767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "multiprocessin... |
16569602517 | import logging
import networkx as nx
import pandas as pd
import pquality.PartitionQuality as Pq
from pipelines.pipeline_base import PipelineBase
logger = logging.getLogger(__name__)
class CommunityDetectionMetrics(PipelineBase):
def __init__(self, datasources, context_name):
files = [
{
... | flaprimo/twitter-network-analysis | pipelines/phase_1/community_detection_metrics.py | community_detection_metrics.py | py | 9,021 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pipelines.pipeline_base.PipelineBase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pquality.PartitionQuality.internal_edge_density",
"line_number": 87,
"usage_type": ... |
31361570887 | import numpy as np
from scipy.optimize import minimize
def morse_potential(r, r_eq, D, a):
"""
Get activation energy of a site based on local environment.
Based off Morse potential, V(r) = D(1 - exp(-a(r-r_eq)))
inputs -
r - 4 x 1 np array of distances to nearest neighbors on the lattice
r_eq ... | salmanak31/importance_learning | il_pedagogical/potentials.py | potentials.py | py | 11,255 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 157,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize... |
22684615540 | import gym
import random
import collections
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from stateRepresenter import StateRepresenter
from torchsummary import summary
import time
from torch.optim.lr_scheduler import _LRScheduler
#Hyperparameters
# l... | Hyunwoo-Park-Yonsei/RL_lanefollowing | DDPG.py | DDPG.py | py | 13,097 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_... |
28183107243 | import etl.influx_etl as influx_etl
from etl import util
import pandas as pd
import functools
import pytz
from datetime import datetime
from dateutil.relativedelta import relativedelta
from dateutil import tz
import itertools
from sklearn.preprocessing import StandardScaler
import requests
import os, sys, glob, json
im... | MondoPower/Classifying_solar_daily_generation | classification/src/libs/gather_weather_data.py | gather_weather_data.py | py | 5,748 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dateutil.relativedelta.relativedelta",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dateutil.relativedelta",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "tstools.manipulation.generate_cyclic_time_of_day",
"line_number": 26,
"usage_... |
16774672046 | from PySide2.QtWidgets import *
from PySide2.QtCore import *
from PySide2.QtGui import *
import time
from simulator import Simulator
from interactive_argument import InteractiveArgument
from ui.grid_ui import GridUI
from ui.side_panel_ui import SidePanelUI
from edict import Broadcaster
from grid2d import LOCAL_OBSTACLE... | alexraymond/busybarracks | ui/simulator_ui.py | simulator_ui.py | py | 16,775 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "simulator.Simulator",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "ui.grid_ui.GridUI",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "ui.side_panel_ui.SidePanelUI",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "... |
41705562387 | import os
import re
import subprocess
import time
# import system module
import sys
# import some PyQt5 modules
from PyQt5.QtWidgets import QApplication, QFileDialog, QWidget
from PyQt5.QtGui import QImage, QPixmap
from PyQt5.QtCore import QTimer, QThread, QObject, QEventLoop, pyqtSignal, pyqtSlot
import qimage2ndarr... | kalleadolfsson/spec-streamer | Spectrometer.py | Spectrometer.py | py | 11,238 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "PyQt5.Qt... |
10422982223 | from __future__ import annotations
import uuid
from typing import TYPE_CHECKING
from unittest.mock import ANY, AsyncMock, MagicMock, call
import pytest
from randovania.game_connection.builder.connector_builder_option import ConnectorBuilderOption
from randovania.game_connection.builder.debug_connector_builder import... | randovania/randovania | test/game_connection/test_game_connection.py | test_game_connection.py | py | 6,540 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "randovania.game_connection.game_connection.GameConnection",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 27,
"usage_type":... |
30997821090 | """ apps/products/views_books.py """
import os
from django import forms
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from .forms import BookForm, ChargeForm
from .models im... | BrRoman/editor | editor/apps/products/views_books.py | views_books.py | py | 4,832 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Product.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 17,
"usage_type": "name"
},
{
"api_name... |
15726839041 | from bs4 import BeautifulSoup
import requests
import pandas as pd
import numpy as np
#function for extracting title
def get_title(soup):
try:
title=soup.find("span",attrs={"id":'productTitle'}).text.strip()
except AttributeError:
title=""
return title
#fuction for e... | Sajidha777/amazon-web-scraping | amazon-web-scraping.py | amazon-web-scraping.py | py | 3,513 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
12050781814 |
import pygame as pg
from os import path
from logger import logger
class MusicManager():
def __init__(self, game, music_loaded):
self.game = game
self.time_btw_stp = 0
self.music_loaded = music_loaded
self.startup()
def set_data(self, data):
self.music_loaded = data
... | Barbapapazes/dungeons-dragons | managers/music_manager.py | music_manager.py | py | 4,208 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pygame.mixer.music.set_volume",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name"... |
29318583144 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 18 19:00:19 2015
@author: Dag
"""
import numpy as np
import matplotlib.pyplot as plt
import sys
sys.path.append("D:/Dropbox/Forårs semester 2015/Social Data analyse og visualisering 02806/reddit project")
#sys.path.append("C:/Users/Dag/Dropbox/Forårs semester 2015/Socia... | connors511/dtu-02806-social-data | plotter.py | plotter.py | py | 10,970 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
73008021629 | #Lesson 14 My version, with comments
from pyspark import SparkConf, SparkContext #Next few lines, boilerplate code
conf = SparkConf().setMaster("local").setAppName("FriendsByAge") #Running locally
sc = SparkContext(conf = conf)
def parseLine(line):
fields = line.split(',') #split the values in the csv based on wh... | CenzOh/Python_Spark | MyCode/friends.py | friends.py | py | 1,491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 5,
"usage_type": "call"
}
] |
18613593705 | #! /usr/bin/python
from pwn import *
#I push this poc just want to recommend pwntools
#It's a very great tool for pwn
#Althought you can very easy to write pwn poc with pwntools
#but don't depend it too much
#see pwntool's doc at : https://pwntools.readthedocs.org/en/latest/
#and the github : https://github.com/Gallo... | zh-explorer/ctfgame | week2/pwn_step3_poc.py | pwn_step3_poc.py | py | 1,140 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pwn.send",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pwn.recv",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pwn.recv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pwn.send",
"line_number": 45,
"usa... |
9345185190 | import os
import datetime
from os.path import exists
from datetime import date
folder_path = "./logs/"
file_path = ""
log_file = None
def open_log_file(path_to_folder=folder_path, file_mode="a"):
global log_file
file_path = path_to_folder + "log_" + date.today().strftime("%b_%d_%Y") + ".txt"
... | sean-francis113/pf2edatascraper | lib/log.py | log.py | py | 1,378 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.no... |
21215124985 | # -*- coding: utf-8 -*-
from django import template
from django.conf import settings
from django.utils import timezone, formats
from django.utils.translation import gettext_lazy as _
register = template.Library()
@register.filter()
def datetime_short(date):
"""
Format a datetime object as short string for li... | babybuddy/babybuddy | core/templatetags/datetime.py | datetime.py | py | 1,450 | python | en | code | 1,766 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.localtime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
37229128073 | from ImagePrep import PrepareImage
from CurveDetector import Curve
import cv2
def main():
cap = cv2.VideoCapture('Test Data/curve_road.mp4')
i = 0
ImagePreprocessor = PrepareImage((7,7),(0,0),False,50,170,0.6,0.6)
CurveMaker = Curve()
while(cap.isOpened()):
ret, frame = cap.read()
if... | TheGupta2012/RAAHI | openCV Lanes/Curved Lanes/Codes/testing.py | testing.py | py | 941 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ImagePrep.PrepareImage",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "CurveDetector.Curve",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.resize",... |
71482548028 | from collections import deque
def solution(priorities, location):
answer = 0
pairs = [[priority, False] for priority in priorities]
pairs[location][1] = True
pairs = deque(pairs)
start = 1
while pairs:
current = pairs.popleft()
is_top_prior = True
for p, is_selected in ... | YoonHan/Algorithm | python/Programmers/프린터/solution.py | solution.py | py | 652 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
31032640447 | from base import BasePolicyTest
from tcutils.wrappers import preposttest_wrapper
import test
from vn_test import *
from quantum_test import *
from policy_test import *
from vm_test import *
from tcutils.topo.sdn_topo_setup import sdnTopoSetupFixture
from common.system.system_verification import system_vna_verify_policy... | hkumarmk/aaa | scripts/policy/test_policy_detailed_basic.py | test_policy_detailed_basic.py | py | 3,969 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "base.BasePolicyTest",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sdn_single_vm_multiple_policy_topology.sdn_single_vm_multiple_policy_config",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "tcutils.topo.sdn_topo_setup.sdnTopoSetupFixt... |
35430841485 | from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from port.items import PortVisit
class LpcSpider(BaseSpider):
name = 'lpc.co.nz'
allowed_domains = ['lpc.co.nz']
start_urls = [
'http://www.lpc.co.nz/RP.jasc?Page=/LPCShipsInPortNetApp',
]
def parse(self, response):
hxs = Htm... | hughbris/portent | port/spiders/lpc.py | lpc.py | py | 1,259 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.HtmlXPathSelector",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "port.items.PortVisit",
"line_number": 25,
"usage_type": "call"
}
] |
23710277531 | from django.db import models
from django.core.validators import FileExtensionValidator
from django.contrib.postgres.fields import JSONField
from .auth_helper import get_client_token
from .graph_helper import MailGraph, get_user, send_invite_mail
# Create your models here.
class ClientUser(models.Model):
email = mode... | boiyelove/alpenels | core/models.py | models.py | py | 2,498 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
72966317947 | from build import *
from matplotlib.pyplot import plot, show
def show_graph(clusters, centroids):
for color, centroid, points in zip('rgbcymk', centroids, clusters):
xs = map(lambda e: e['x'], points)
ys = map(lambda e: e['y'], points)
plot(xs, ys, color + 'o')
plot(centroid['x'], centroid['y'], color + 'x', ... | LG95/Clustering | debug.py | debug.py | py | 337 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 11,
"usage_type": "call"
}
] |
5053400482 |
import zmq, sys
CARDS = ['1','2','3','4','5','6','7','8','9','B']
def main():
welcome()
selectSC()
def selectSC():
strIn = valid_input(['0','1','Q'], '0-Server 1-Client Q-Quit:')
if strIn == '0':
# server
print('server')
server()
elif strIn == '1':
# client
... | HollowTurtle047/MA | MA.py | MA.py | py | 3,445 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "zmq.Context",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "zmq.REP",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "zmq.Context",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "zmq.REQ",
"line_number": 48,... |
38836497276 | import pyodbc
import re
import random
import datetime
import docx
#for row in cursor:
# a += row[2]
#print(a)
#Капуста, морковь, лук, петрушка, укроп, свекла, мясо(500 грамм), Фасоль (200 грамм)
#Cabbage, carrot, onion, parsley, dill, beetroot, meat (500 grams), Beans (200 grams)
#Количество каждого ингредие... | HogeRider/study3 | try.py | try.py | py | 28,633 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pyodbc.connect",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 276,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 288,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"... |
74197625149 | import logging
import traceback
from datetime import datetime
import humanize
import pandas as pd
from des.models import SkybotByYear
from des.models import SkybotByDynclass
from des.dao import (
ExposureDao,
CcdDao,
DesSkybotJobResultDao,
SkybotByYearDao,
DesSummaryDynclassDao,
)
from des.dao im... | linea-it/tno | backend/des/summary/summary_result.py | summary_result.py | py | 10,588 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "des.dao.Des... |
18272439881 | from flask import render_template
from flask import Flask
from flask import jsonify
from model import db
def init_db():
""" Initialize the database """
db.create_all()
class _DefaultSettings(object):
USERNAME = 'world'
SECRET_KEY = 'development key'
DEBUG = True
# create the application
app = Fl... | shalizi/collective_stats_logviewer | src/collective_stats_logviewer/views.py | views.py | py | 1,179 | python | en | code | null | github-code | 6 | [
{
"api_name": "model.db.create_all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "model.db",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "model.db.create_all",
"lin... |
32878765855 | import numpy as np
import matplotlib as plt
import control as co
# %conifg InlineBackend.figure_format = 'svg' # plots will be in svg format
plt.rcParams['figure.figsize'] = [23,10] # you don't need this
plt.rcParams['font.size'] = 24
G1 = co.tf([2,5], [1,2,3])
G1
t = np.linspace(0, 10, 100)
t1, y1 = co.impulse_res... | edinhooliveira/pyControl | control-test.py | control-test.py | py | 434 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "control.tf",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.linsp... |
6639053374 | import os
import hashlib
from typing import Any, Optional, TypeVar
from collections.abc import Iterator, Iterable, Hashable
from collections import defaultdict
from operator import itemgetter
from pathlib import Path
from axtk.typing import PathLike
T = TypeVar('T', bound=Hashable)
def is_namedtuple(obj) -> bool:
... | marcovzla/axtk | src/axtk/utils.py | utils.py | py | 5,725 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.abc.Hashable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.PathLike",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "collections.... |
4770079037 | import os,sys
src_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if src_dir not in sys.path:
sys.path.append(src_dir)
from Abstract.DataManagerAbstract import DataManagerAbstract
import pandas as pd
from sklearn.model_selection import StratifiedKFold
class KFoldDataManager(DataManagerAbstract)... | subhajoy/recommender-capstone | src/DataManagers/KFoldDataManager.py | KFoldDataManager.py | py | 1,751 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number... |
15211655660 | """
Flux Errors
-----------
Figure 3.5.
An example of Gaussian flux errors becoming non-Gaussian magnitude errors.
The dotted line shows the location of the mean flux; note that this is not
coincident with the peak of the magnitude distribution.
"""
# Author: Jake VanderPlas
# License: BSD
# The figure produced by t... | astroML/astroML_figures | book_figures/chapter3/fig_flux_errors.py | fig_flux_errors.py | py | 2,946 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "astroML.plotting.setup_text_plots",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": ... |
20606410311 | from django.shortcuts import render, get_object_or_404
from django.views.decorators.csrf import csrf_exempt
from .forms import DocumentForm, ForumPostCreationForm
from .models import DocumentModel, KeywordModel, ForumPost
from django.db import connection, ProgrammingError
import os
from .ocr import extract_text... | ZunaedSifat/KnowledgeRepository | documents/views.py | views.py | py | 7,119 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.connection.cursor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.db.ProgrammingError",
"line_number": 24,
"usage_type": "name"
},
{
"api_n... |
39607779343 | import logging
import os
from optparse import make_option
from django.core.management.base import BaseCommand
from django.utils import timezone
from core import title_loader
from core import solr_index
from core.models import Title
from core.management.commands import configure_logging
configure_logging('load_title... | open-oni/open-oni | core/management/commands/load_titles.py | load_titles.py | py | 3,903 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "core.management.commands.configure_logging",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 17,
"usage_type": "... |
40184733295 | import os
import pandas as pd
import numpy as np
from flask import Flask, jsonify, render_template, request
from predictPrice import predictPrice
app = Flask(__name__)
#################################################
# Global Variables
#################################################
filter_by = {"yr" : 0, "cat... | sigmanudude/ResidentialEnergyPrediction | app.py | app.py | py | 2,190 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
30112329577 | import cv2
import numpy as np
img = cv2.imread("feather.jfif")
cv2.imshow("mostrar la imagen",img)
gray_img = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
cv2.imshow("escala de grises",gray_img)
print(gray_img)
#print(img)
cv2.waitKey(0)
| alonsosebastian1/clases- | clase 104/ready_image.py | ready_image.py | py | 241 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number... |
71345479229 | from datetime import timedelta, datetime
from flask import Blueprint, current_app, jsonify, request
from DAL.SessionDAL.SessionDALImplementation import SessionDALImplementation
from SAL.SessionSAL.SessionSALImplementation import SessionSALImplementation
from DAL.ItemDAL.ItemDALImplementation import ItemDALImplementat... | dmerc12/143Designs | back-end/API/ItemRoutes/UpdateItemRoute.py | UpdateItemRoute.py | py | 1,562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "DAL.ItemDAL.ItemDALImplementation.ItemDALImplementation",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "SAL.ItemSAL.ItemSALImplementation.ItemSALImplementation",
"line_numbe... |
39993146053 | """
## PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
## Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao
## https://arxiv.org/abs/2203.09283
## The code is reproducted based on uformer:https://github.com/ZhendongWang6/Uformer
"""
import torch
import torch.nn as nn
import... | zhijieshen-bjtu/PanoFormer | PanoFormer/network/model.py | model.py | py | 29,060 | python | en | code | 79 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.nn.AdaptiveAvgPool2d",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
73816664509 | import os
import re
from pathlib import Path
from leet.logging import log, log_progress
from spellchecker import SpellChecker
from ..util import flatten
spell = SpellChecker()
def check_spelling(path, settings):
log.info(f"Checking the spelling of '{path}'...")
if os.path.isdir(path):
all_markdown ... | Tenchi2xh/monospace | monospace/core/spelling.py | spelling.py | py | 2,810 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "spellchecker.SpellChecker",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "leet.logging.log.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "leet.logging.log",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.p... |
41555595000 | from __future__ import print_function
import numpy as np
import getpass
import os
import argparse
import time
import shutil
import sys
import time
# for loading/saving the images
from nipy.core.api import Image
from nipy import load_image, save_image
# for the registration
from nipype.interfaces.ants import Registrat... | jmschabdach/markov-movement-correction | testing-transforms.py | testing-transforms.py | py | 4,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nipype.interfaces.ants.ApplyTransforms",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "os... |
19365131335 | import argparse
import numpy as np
import os
import tabulate
import torch
import torch.nn.functional as F
import data
import models
import curves
import utils
def main(args):
os.makedirs(args.dir, exist_ok=True)
torch.backends.cudnn.benchmark = True
loaders, num_classes = data.loaders(
dataset ... | jonasjuerss/mode-connectivity | eval_curve_extensive.py | eval_curve_extensive.py | py | 10,550 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.backends",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "data.loaders",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "curves.CurveNet",
"l... |
14565910294 | from typing import List
# Items are sorted, use in place sorting_algorithms, no aux data structure allowed
# Input: a list of integers
# Output: the new length of the list without duplicates
# O(n)
def remove_duplicates(nums: List[int]) -> int:
# Generally, we use 2 pointers moving in the same direction: one fast... | HemlockBane/ds_and_algo | lists/patterns/two_pointers.py | two_pointers.py | py | 845 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
18920390902 | """Utility helpers to simplify working with yaml-based data."""
# pylint: disable=too-many-lines
from __future__ import annotations
import functools
import logging
import os
import re
from collections.abc import Iterator, Sequence
from io import StringIO
from pathlib import Path
from re import Pattern
from typing impo... | ansible/ansible-lint | src/ansiblelint/yaml_utils.py | yaml_utils.py | py | 45,423 | python | en | code | 3,198 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "typing.Any",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "ansiblelint.constan... |
72777741947 | # Modelling spread of infectious desease using logisic growth model
import os
import shutil
from shutil import copyfile
from pathlib import Path
import requests
import numpy as np
import pandas as pd
from scipy import stats
import seaborn as sns
from pandas.plotting import register_matplotlib_converters
from datetime ... | evgenyneu/covid19 | code/run_model.py | run_model.py | py | 13,131 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tarpan.shared.info_path.InfoPath",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 90,
"usage_type": "call"
},
{
"api_... |
31954083803 |
# https://developers.google.com/people/quickstart/python
# authorize w/o browser:
# https://stackoverflow.com/questions/46457093/google-drive-api-with-python-from-serverbackend-without-browser-autentication
# Step1
# pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
from __futu... | boltunoff/turo | turo_google_calendar/google_cal_extract.py | google_cal_extract.py | py | 7,264 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "dateutil.parser.parse",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pytz.timezone",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",
... |
29983290275 | import os
import torch
import torchvision.transforms as tfs
import numpy as np
from torch.utils.data.dataset import Dataset
from torch.utils.data import DataLoader
from PIL import Image
# Pre-defined ShapeNet id2cat mapping
# taken from https://github.com/optas/latent_3d_points/blob/8e8f29f8124ed5fc59439e8551ba7ef7... | voidstrike/FPSG | src/datasets/mv_dataset_v2.py | mv_dataset_v2.py | py | 11,480 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
17328053511 | #Importing libraries
import numpy as np
import pandas as pd
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_percentage_error, mean_absolute_error
import pmdarima as pm
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerTuple
#Disable tensorflow cuDNN warnings
import lo... | piyushsinghoffice/LazyForecast | LazyForecast/LazyForecast.py | LazyForecast.py | py | 18,117 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.disable",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterw... |
24525525115 | import regex as re
import numpy as np
class Dataset:
'''
Loader for csv datasets
'''
def __init__(self, path: str):
'''
Parameters
----------
path : str, optional
Path to csv file.
Returns
-------
None.
'''
... | booleangabs/Probability-and-Statistics-From-Scratch | data.py | data.py | py | 2,662 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.argsort",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "regex.compile",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "regex.VERBOSE",
"line_nu... |
4931626874 | import paddle.trainer_config_helpers as paddle
"""
LeNet
"""
is_predict=get_config_arg('is_predict', bool, False)
process = 'process'
test = 'data/test.list'
train = 'data/train.list'
if is_predict:
process = 'predict_process'
test = None
train = 'predict.list'
paddle.define_py_data_sources2(
... | wondervictor/DeepLearningWithPaddle | LeNet/LeNet.py | LeNet.py | py | 2,085 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "paddle.trainer_config_helpers.define_py_data_sources2",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "paddle.trainer_config_helpers",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "paddle.trainer_config_helpers.settings",
"line_number": 3... |
11859127376 | """
Functions to convert data from one format to another
"""
import itertools
import logging
from operator import itemgetter
from typing import Dict, List
import numpy as np
import pandas as pd
from pandas import DataFrame, to_datetime
from freqtrade.constants import DEFAULT_DATAFRAME_COLUMNS, DEFAULT_TRADES_COLUMNS,... | robcaulk/freqai | freqtrade/data/converter.py | converter.py | py | 13,545 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "freqtrade.constants.DEFAULT_DATAFRAME_COLUMNS",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 35,
"usage_type": "call"
},
{
"... |
41382926589 | from typing import TYPE_CHECKING
import pandas as pd
from hvac import Quantity
if TYPE_CHECKING:
from .building import Building
from .ventilation_zone import VentilationZone
class BuildingEntity:
def __init__(self):
self.ID: str = ''
self.building: Building | None = None
self.ven... | TomLXXVI/HVAC | hvac/cooling_load_calc/building/building_entity.py | building_entity.py | py | 1,515 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "building.Building",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ventilation_zone.VentilationZone",
"line_number": 15,
"usage_type": "name"
},
{
"api_name":... |
29189646172 | import datetime
from swimmingpool_parameters import SCHOOLTRACKPARAMETER, PERSONPERTRACK
class SwimmingPool:
"""
Class: Swimming Pool
Has: name, work_hours, price list and number of tracks
It handles booking and payment history.
Checks for free seats / lanes and generates a payment.
"""
d... | Kkwarc/Pool_Customer_Service | PlywalniaPython/swimming_pool.py | swimming_pool.py | py | 7,658 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "swimmingpool_parameters.PERSONPERTRACK",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "swimmingpool_parameters.SCHOOLTRACKPARAMETER",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 65,
"usage_type": "cal... |
70402052347 | from django.db import models
from django.utils import timezone
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
from functools import lru_cache
import datetime
import time
from django_pandas.io import read_frame
import lcf.dataframe_helpers as dfh
from .auctionyear import AuctionYear
from .po... | gamzatti/lcf | lcf/models/scenario.py | scenario.py | py | 23,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 18,
"usage_type": "call"
},
{
"api_name"... |
2139180912 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import lightgbm as lgb
from sklearn import preprocessing
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split #切分数据
from sklearn.metrics import mean_squared_error #评价指标
f... | yunzhongyue16/machine-learning | b.py | b.py | py | 2,254 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sk... |
8549036763 | from flask import Flask,render_template,request,make_response,jsonify
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
@app.route('/',methods=["POST","GET"])
def test():
if request.method == "POST" :
print(request.data)
print(request.get_json) #get_json() 을 이용해 딕셔너리로 바꿈
... | Ywoosang/Python-Flask | Asynchronous/app.py | app.py | py | 566 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
14764010074 | import sys
from typing import List
def get_max_sub_sequence_length(list_a: List[int],
list_b: List[int],
list_c: List[int]) -> int:
"""
get the length max sub-sequence of the three in put
lists
"""
width = len(list_a) + 1
length ... | JoeLove100/data-structures-and-algorithms | algorithms_101/dynamic_programming/max_substring_three.py | max_substring_three.py | py | 1,490 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sys.stdin.read",
"line_number": ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.