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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8638695980 | import sqlite3
import csv
def printAll(list):
print(list.__class__.__name__)
for i in list:
print(i)
def write_to_db():
"""Записать даннные в БД"""
# Подключаемся к БД
# region connecting
connection = sqlite3.connect('DataBase/DataBase.sqlite')
cursor = connection.cursor()
# ... | Aemulatio/GraduateWork | pythonScripts/dataRefactor.py | dataRefactor.py | py | 12,887 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 121,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 132,
"usage_type": "attribute"
},
{
"api... |
2428478594 | import time
import MetaTrader5 as mt5
from datetime import datetime
import pandas as pd
class Meta:
def __init__(self,test,path):
self.test=test
self.path=path
def onBar(self,timeframe,function_done):
while True:
function_done()
time... | rezafakhriyan/Meta_connector_sigma | meta.py | meta.py | py | 7,884 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "MetaTrader5.initialize",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "MetaTrader5.last_error",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "MetaTrader5.... |
70592883892 | """
This file borrows PointNet2 implementation: https://github.com/erikwijmans/Pointnet2_PyTorch
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from pointnet2_ops import pointnet2_utils
from pointnet2_ops.pointnet2_modules import PointnetFPModule, Po... | daerduoCarey/o2oafford | exps/models/model_o2oafford.py | model_o2oafford.py | py | 11,691 | python | en | code | 30 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pointnet2_ops.pointnet2_utils.three_nn",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
31368464217 | """
@author '彼时思默'
@time 2019/12/7 17:51
@describe:
定位图片
"""
import os
import pyautogui
from loguru import logger
from root import root
from utils.adb import adb
from utils.image_converter import byte2img
class ImgLocate:
PATH_FREE_REFUEL_810_1440 = os.path.join(root, 'res/810_1440/img/free_refuel.png')
P... | bishisimo/game_helper | utils/img_locate.py | img_locate.py | py | 1,070 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "root.root",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numb... |
12193122105 | '''
A Python program to adopt a pet and appending the details in a file.
The entry can also be viewed by reading the file
'''
import datetime
# Defining main function
def get_pet(pet):
# If user input 1 then this condition executes
if pet == 1:
adopt = int(input("Press 1 for Pet Dog 2 for... | Sachin-crypto/Python-Beginner-Projects | adoption_pet.py | adoption_pet.py | py | 1,854 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "da... |
14412541662 | from django.contrib.gis.db.models.functions import Distance
from django.contrib.gis.geos import Point
from django.http import JsonResponse
from rest_framework.views import APIView
from rest_framework.permissions import AllowAny
from rest_framework.status import (
HTTP_400_BAD_REQUEST,
HTTP_404_NOT_FOUND,
H... | iam-hitesh/jumpq-backend | merchants/views.py | views.py | py | 937 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.gis.geos.Point",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_number": 28,
"usage_type": "name"
... |
31353314313 | #Given: DNA string s of length at most 10 kbp, and protein string translated by s
#Return: Index of genetic code variant (codon table) used for translation
#NB List of genetic code variants along with indexes representing these codes found here: http://www.bioinformatics.org/JaMBW/2/3/TranslationTables.html
from B... | agolikova/Rosalind-Bioinformatics-Solutions | Code/PTRA_Protein Translation.py | PTRA_Protein Translation.py | py | 858 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Bio.Seq.Seq",
"line_number": 17,
"usage_type": "call"
}
] |
32661509643 | import nltk
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()
import pickle
import numpy as np
import json
#open json:
with open("intents.json") as file:
data = json.load(file)
#nlp operations:
try:
with open("data.pickle", "rb")as f:
words, labels , tra... | SKukreti0107/MAVIS | mavis mk 2/nlp.py | nlp.py | py | 1,619 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.word_t... |
23926635794 | from typer.testing import CliRunner
from mayan_dig import remove_control_characters
from mayan_dig.cli import app
def test_main():
runner = CliRunner()
result = runner.invoke(app, ["--help"])
for line in [
"Usage: cabinets [OPTIONS] [FULL_PATHS]...",
"full_paths [FULL_PATHS]... Par... | andreoliwa/mayan-dig | tests/test_mayan_dig.py | test_mayan_dig.py | py | 451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typer.testing.CliRunner",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mayan_dig.cli.app",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "mayan_dig.remove_control_characters",
"line_number": 15,
"usage_type": "call"
}
] |
5663991768 | from django.contrib.auth.views import LoginView, LogoutView
from django.urls import path
from .views import *
from django.conf.urls.static import static
from django.conf import settings
app_name = 'furn'
urlpatterns = [
path('', home, name="home"),
path('signup/', signup, name='signup'),
path('profile', p... | AbubakrDev/Django_furn_master | furn/urls.py | urls.py | py | 759 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
42983612701 | import os
import json
from pprint import pprint
import numpy as np
PATH1 = "/Users/jaewooklee/pcc-web/web/test_data/rtt_fairness_test/rtt_fairness3/"
PATH2 = "/Users/jaewooklee/pcc-web/web/test_data/rtt_fairness_test/rtt_fairness4/"
def merge_files_in_path(path, name):
wrapper = {}
for scheme in os.listdir(pa... | leejwook96/PCC-Web | web/test_data/get_all_jain_index.py | get_all_jain_index.py | py | 1,354 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number":... |
37650961998 | import tkinter as tk
from tkinter.constants import *
from matplotlib import pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import time
from plot import plotG
from Frames import panels
from PIL import Image, ImageTk
class ProductPage(tk.Frame):
def __init__(self, master=None, name=s... | Muddassar087/Recommender-system | productpage.py | productpage.py | py | 7,396 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "tkinter.Frame",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tkinter.TOP",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "tkinter.BOTH",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open"... |
40795865296 | import re
import logging
class Request:
class Methods:
CONNECT = "CONNECT"
GET = "GET"
POST = "POST"
def __init__(self, raw: bytes):
self.raw = raw
self.raw_split = raw.split(b"\r\n")
self.log = self.raw_split[0].decode()
self.body = self.raw[len(self.l... | unniisme/Networking | HTTPProxy/ProxyHandler.py | ProxyHandler.py | py | 3,062 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_numbe... |
6143166930 | from pathlib import Path
from search_engine import SearchEngineInterface
import subprocess
import os
import pandas as pd
import numpy as np
class Comet(SearchEngineInterface):
# option to disable console output from external .exe
_FNULL = open(os.devnull, 'w')
_param_file = None
_mgf_file = None
... | iMoCkz/AnalysisProteomicPublicDataset | comet.py | comet.py | py | 6,493 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "search_engine.SearchEngineInterface",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.devnull",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subpr... |
6261268602 | # -*- coding:utf-8 -*-
import os
import cv2
import numpy as np
for file in os.listdir("testImg"):
filename = "testImg/"+file
print(filename)
img = cv2.imdecode(np.fromfile(filename, dtype=np.uint8), -1)
img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
outfilename = "testImg02/"+file
cv2.imencode('.jp... | 411324590/Plate-Produce | Graylize.py | Graylize.py | py | 352 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imdecode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": ... |
20582527240 | import torch
import torch.nn.functional as F
from copy import deepcopy
from torch import nn
from torch.optim import Adam
# Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
# https://arxiv.org/abs/1706.02275
class Actor(nn.Module):
def __init__(self, state_space, action_space):
super(... | shinobu-x/reinforcement-learning | maddpg.py | maddpg.py | py | 5,878 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
17115310922 | #!/usr/bin/env python3
###############################################################################################
# Nagios check for listening ports
# Verifies that the host (local or remote) is listening on the expected ports.
# Can check for:
# * No unexpected listening ports
# * All expected ports ... | akomakom/nagios-plugins-misc | nagios_check_listening_ports.py | nagios_check_listening_ports.py | py | 4,629 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 72,
"usage_type": "name"
}
] |
72818125174 | import cv2 as cv2
import numpy as np
from sklearn.linear_model import (
LinearRegression,
TheilSenRegressor,
RANSACRegressor,
HuberRegressor,
)
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import make_pipeline
from scipy.optimi... | kaif0312/Lane-De | clickpoints.py | clickpoints.py | py | 11,535 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.TheilSenRegressor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.RANSACRegressor",
"line_number": 17,
"u... |
10953007814 | #!/usr/bin/env python
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import sys
import os
from astropy.table import Table, Column, vstack
import glob
import warnings
warnings.filterwarnings('ignore')
from bootstrap import *
from Beers import *
from tbl_reader import *
de... | vwetzell/DES_VelDisp | VelDisp/VelDisp.py | VelDisp.py | py | 14,521 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "astro... |
20606705135 | import re
import sys
import copy
import time
import collections
import getopt
import supybot.conf as conf
import supybot.log as log
from xml.dom import minidom
import supybot.world as world
import supybot.utils as utils
from supybot.commands import *
from supybot.irclib import IrcMsgQueue
import supybot.ircmsgs as ircm... | progval/Supybot-plugins | SupyML/plugin.py | plugin.py | py | 14,488 | python | en | code | 107 | github-code | 21 | [
{
"api_name": "supybot.i18n.PluginInternationalization",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "supybot.i18n.internationalizeDocstring",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "supybot.callbacks.tokenize",
"line_number": 63,
"usage_typ... |
6544969370 | from django.db import models
from django.conf import settings
class Tag(models.Model):
tag = models.CharField(max_length=100)
class Article(models.Model):
user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE)
title = models.CharField(max_length=100)
content = models.TextField(... | cloudsoswift/Expandev | backend/dev_accounts/blogs/models.py | models.py | py | 1,695 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
6655964327 | # -*- coding:utf-8 -*-
__author__ = 'wushuyi'
from flask import Blueprint, render_template, url_for, flash, get_flashed_messages, request, session, redirect, jsonify
from flask_security import Security, MongoEngineUserDatastore, login_required, current_user
from .public import app, db, oauth
from .model import Role, Us... | wushuyi/auth-service | auth/views.py | views.py | py | 4,500 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "public.app.config",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "public.app",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "public.app",
"l... |
8081556631 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_modules.backbones import resnet34, resnet50
from pytorch_modules.nn import ConvNormAct
from pytorch_modules.utils import initialize_weights
class UNet(nn.Module):
def __init__(self, num_classes):
super(UNet, self... | WoodsGao/pytorch_keypoint | models/unet.py | unet.py | py | 1,920 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytorch_modules.backbones.resnet34",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torc... |
5716707783 |
def load_instructions(f_n):
with open('advent2017/input_files/'+f_n) as f:
instructions = []
for line in f:
tokens = line.split()
if len(tokens) == 3:
instructions.append(tokens)
else:
instructions.append((tokens[0], tokens[1], None))
return instructions
from collections import defaultdict, deq... | jansenk/advent-of-code | advent/2017/day18.py | day18.py | py | 2,508 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
}
] |
28189231232 | import json, os, uuid, sys
import os, uuid, sys
from azure.storage.filedatalake import DataLakeServiceClient
from azure.core._match_conditions import MatchConditions
from azure.storage.filedatalake._models import ContentSettings
edfi_data = [
{
"id": "e313650d5b074fe0a4beb8973043ed29",
"studentUn... | xmarcosx/azure-sandbox | main.py | main.py | py | 1,472 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "azure.storage.filedatalake.DataLakeServiceClient",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": ... |
15048051303 | from collections import OrderedDict
import json
from sigsci_site_manager.backup import backups
from sigsci_site_manager.consts import (RULE_LISTS,
CUSTOM_SIGNALS,
REQUEST_RULES,
SITE_RULES,
... | turnerlabs/sigsci_site_manager | sigsci_site_manager/merge.py | merge.py | py | 15,013 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "sigsci_site_manager.util.filter_data",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "sigsci_site_manager.util.filter_data",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "sigsci_site_manager.util.filter_data",
"line_number": 132,
"us... |
38240397483 | import asyncio, math
import finviz
from PyQt5.QtCore import Qt, QTimer, pyqtSlot
import PyQt5.QtWidgets as qt
# import PySide6.QtWidgets as qt
import qdarktheme
from ib_insync import IB, util
from ib_insync.contract import *
from datetime import datetime
from finvizfinance.group.overview import Overview
impo... | regholl/Stocks-Watchlist | watchlist.py | watchlist.py | py | 14,311 | python | en | code | null | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QTableWidget",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QTableWidget.__init__",
"line_number": 21,
"usage_type": "call"
},
... |
40930585696 | #=================================
# Modules used byt the class
#=================================
import discord
import time
from sunbot.MetaSingleton import MetaSingleton
class DiscordHandler(metaclass = MetaSingleton):
"""Singleton class that allows to centralize and handle request to discord API"""
@staticmet... | SkyEyeWeather/SunBot | sunbot/apiHandler/discordHandler.py | discordHandler.py | py | 1,206 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sunbot.MetaSingleton.MetaSingleton",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.Webhook",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.Embed",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
14116536754 | from distutils.cmd import Command
from logging import root
from tkinter import *
import tkinter
from PIL import Image,ImageTk
import datetime
import psycopg2
import uuid
from tkinter import messagebox
from datetime import datetime
import sub_req
#import Customer_reg
global vw
class booking:
def book(self):... | kasthuri28/Blithe | src/Booking.py | Booking.py | py | 8,670 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
1917122960 | import fnmatch, os, re, requests
from .tasks import sh, get, project, Elidable, Secret, TaskError
def next_page(response):
if "Link" in response.headers:
links = requests.utils.parse_header_links(response.headers["Link"])
for link in links:
if link['rel'] == 'next':
retu... | datawire/forge | forge/github.py | github.py | py | 2,829 | python | en | code | 414 | github-code | 21 | [
{
"api_name": "requests.utils.parse_header_links",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tasks.Elidable",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ta... |
33353608903 | import matplotlib.pyplot as plt
import matplotlib
import colorsys
def plot(values, f = (lambda k,v: True)):
i = 1
for p,v in values.items():
plt.subplot(1, len(values), i)
__subplot(v, f)
i += 1
plt.xlabel('Time')
plt.ylabel('Value function')
plt.title('Value function over ... | celiamercier/reinforcement-learning | matchsticks-vf/plot.py | plot.py | py | 1,327 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ma... |
27205600533 | # -*- coding: utf-8 -*-
""" Script to initialize the Anuket database."""
import argparse
import sys
import transaction
from alembic.command import stamp
from alembic.util import CommandError as AlembicCommandError
from sqlalchemy import engine_from_config
from sqlalchemy.exc import IntegrityError as SqlAlchemyIntegrit... | lazaret/anuket | anuket/scripts/initializedb.py | initializedb.py | py | 3,753 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyramid.paster.get_appsettings",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "... |
41073715392 | # Third party imports
from rest_framework.routers import DefaultRouter
# Pepper imports
from pepper.facebook.api import PSIDListViewSet, FacebookPageViewSet, MessengerLabelViewSet
default_router = DefaultRouter(trailing_slash=False)
# Register all the django rest framework viewsets below.
default_router.register('ps... | GeekyShacklebolt/pepper | pepper/api_urls.py | api_urls.py | py | 580 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pepper.facebook.api.PSIDListViewSet",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "pepper.facebook.api.FacebookPageViewSet",
"line_number": 11,
... |
23483614402 | import unittest
from unittest import mock
from unittest.mock import patch, ANY
from test_common_utils import LambdaContextLogStream
class HelperTest(unittest.TestCase):
def setUp(self):
self.test_event = {
'StackId': 'testStackId',
'RequestId': 'testRequestId',
'Logica... | aws-solutions/cloud-migration-factory-on-aws | source/backend/lambda_unit_test/test_helper.py | test_helper.py | py | 2,398 | python | en | code | 54 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "test_common_utils.LambdaContextLogStream",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "helper.send_response",
"line_number": 23,
"usage_type": "call"
},
{
... |
34875597453 | from __future__ import unicode_literals
import re
from importlib import import_module
from inspect import getmembers, isclass, isabstract
from ..instance import Instance
from ..exception import SDKException
VSINSTANCE_TYPE = {
101: "vmware",
102: "hyperv",
301: "amazon_web_services",
401: "azure",
... | Commvault/cvpysdk | cvpysdk/instances/vsinstance.py | vsinstance.py | py | 10,558 | python | en | code | 52 | github-code | 21 | [
{
"api_name": "instance.Instance",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "importlib.import_mod... |
74097204214 | import os
import json
import subprocess
import conf
import check_series
import write_data as wd
linux_src = conf.LINUX_SRC
exec_new_tag = True
list_jobs = '/home/user/src/python/jobs.txt'
res_loc = conf.BUILD_DIR + '../results/'
list_done = res_loc + 'done.json'
def read_tags(fname):
f = open(fname)
_tags... | FYNQ/PIT | src/python/cron_pit.py | cron_pit.py | py | 3,570 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "conf.LINUX_SRC",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "conf.BUILD_DIR",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "subprocess.PI... |
42988441161 | """Custom FPl api client"""
import sys
import json
import logging
import async_timeout
from .const import (
CONF_ACCOUNTS,
CONF_TERRITORY,
FPL_MAINREGION,
LOGIN_RESULT_FAILURE,
LOGIN_RESULT_OK,
TIMEOUT,
API_HOST,
)
from .FplMainRegionApiClient import FplMainRegionApiClient
from .FplNorth... | dotKrad/hass-fpl | custom_components/fpl/fplapi.py | fplapi.py | py | 4,007 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "const.API_HOST",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "async_timeout.timeout",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "const.TIMEOUT"... |
13447262061 | import numpy as np
import matplotlib.pyplot as plt
from build import dth
import networkx as nx
#from morphopy.neurontree import NeuronTree as Nt
#from morphopy.computation import file_manager as Fm
def getDiGraph(G, pnow, oxresult, in_nodes):
pos = nx.get_node_attributes(G, 'pos')
DiG = nx.DiGraph()
for e... | karol-lukanowski/symulacja-krwi | analysis.py | analysis.py | py | 8,514 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "networkx.get_node_attributes",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "networkx.DiGraph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "build.dth",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "networkx.simp... |
4439907355 | import pyodbc #Python Open Database connector is used to connect to Microsoft SQL database
import pandas as pd #Pandas is used for is class dataframe which is hugely useful for indexing large datasets
import os #to check if certain files exist
import numpy as np #on rare occassion for matrix operations manipulating the... | atomschulz/tesla_test | test_utils.py | test_utils.py | py | 3,560 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
33896878613 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar
import attr
if TYPE_CHECKING:
from ..models.brand_refinement import BrandRefinement
from ..models.classification_refinement import ClassificationRefinement
T = TypeVar("T", bound="Refinements")
@attr.s(auto_attribs=True)
class Refinements:
... | milyord/sp-api | sp/catalog_items_2022_04_01/models/refinements.py | refinements.py | py | 2,820 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"lin... |
33461203600 | import pygame
import numpy as np
import argparse
from neumann_neighborhood import set_neumann_neighb, apply_rule_neumann
from game_of_life import set_upgol, apply_rule_gol
from chaos import set_upchaos, apply_rule_chaos
from env import *
def set_functions(args):
if args.commands == "gol":
return set_upgol,... | matteo-789/Game-of-life-and-neumann-neighborhood | main.py | main.py | py | 2,154 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "game_of_life.set_upgol",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "game_of_life.apply_rule_gol",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "neumann_neighborhood.set_neumann_neighb",
"line_number": 13,
"usage_type": "name"
},... |
39921133781 | # MoorPy Example Script:
# Example of manually setting up a mooring system in MoorPy and solving equilibrium.
import numpy as np
import matplotlib.pyplot as plt
import moorpy as mp
# ----- set up the mooring system and floating body -----
# Create new MoorPy System and set its depth
ms = mp.System(file='sample.txt... | NREL/MoorPy | examples/imported_system.py | imported_system.py | py | 1,519 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "moorpy.System",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"l... |
43465881286 | from django.urls import path
from Users import views
urlpatterns = [
path('register/6/', views.follow_university_societies, name='update_uni_following'),
path('toggle_On/', views.toggle_On, name='toggle_uni_soc_following'),
path('toggle_Off/', views.toggle_Off, name='toggle_uni_soc_unfollowing'),
path... | vajin1125/LUNA-master | Users/urls.py | urls.py | py | 381 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Users.views.follow_university_societies",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Users.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name":... |
41804424130 | import random
from telethon.errors.rpcbaseerrors import ForbiddenError
from telethon.errors.rpcerrorlist import PollOptionInvalidError
from telethon.tl.types import InputMediaPoll, Poll
from Deepak import legend
from ..core.managers import eor
from . import Build_Poll, reply_id
menu_category = "extra"
@legend.leg... | OFFICIALHACKERERA/PLUGINSS | Deepak/plugins/poll.py | poll.py | py | 2,972 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "telethon.tl.types.InputMediaPoll",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "telethon.tl.types.Poll",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.getrandbits",
"line_number": 36,
"usage_type": "call"
},
{
"api_na... |
18676616682 | from django.shortcuts import render
from django.http import HttpResponse
from .models import Product, Review
from carts.models import Cart
from django.db.models import Q
from wishlist.models import Wishlist
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
def home(request):
productmen = Pr... | Abhinav-n/AP_Project | django_project/ecom/views.py | views.py | py | 5,012 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Product.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 11,
"usage_type": "name"
},
{
"api_name... |
73581277173 | import argparse
import socket
import xmlrpc.client as xmlrpclib
import http.client as httplib
class UnixSocketHTTPConnection(httplib.HTTPConnection):
def connect(self):
self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
self.sock.connect(self.host)
class UnixSocketTransport(xmlrpclib.... | mabuaisha/supervisord-on-action | parse.py | parse.py | py | 1,546 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "http.client.HTTPConnection",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_UNIX... |
37856671586 | from typing import Any, List, Optional, Dict
import uuid
from xrpl.asyncio.clients import AsyncWebsocketClient
from xrpl.models import Subscribe, StreamParameter
from ..models import (
WatchOrdersParams,
MarketSymbol,
Offer,
OrderId,
Trade,
Order,
OrderStatus,
)
from ..utils import parse_t... | AktaryTech/xrpl-dex-sdk-python | xrpl_dex_sdk/methods/watch_orders.py | watch_orders.py | py | 4,371 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "models.MarketSymbol",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "models.WatchOrdersParams",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "xrpl.asy... |
15054736120 | # -*- coding: utf-8 -*-
import scrapy
from vacancy_parse.items import VacancyParseItem
class HhParseSpider(scrapy.Spider):
name = 'hh_parse'
allowed_domains = ['hh.ru']
start_urls = ['https://hh.ru/search/vacancy?&text=Python']
def parse(self, response):
pagination = response.xpath('//a[cont... | AlexandraFil/Geekbrains_2.0 | data_mining/lesson_5/vacancy_parse/spiders/hh_parse.py | hh_parse.py | py | 2,152 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "vacancy_parse.items.VacancyParseItem",
"line_number": 55,
"usage_type": "call"
}
] |
44910731391 | #!/usr/bin/env python3
import argparse
import random
import os
import numpy as np
from PIL import Image
from plots import *
from util import *
if __name__ == '__main__':
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
parser = argparse.ArgumentParser(description='script for generating plots of the autoenocder res... | taDachs/Overview-of-Variational-Autoencoder-based-Generative-Models | code/generate_plots.py | generate_plots.py | py | 3,808 | python | en | code | 12 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
... |
23505441065 | import cv2 as cv
import numpy as np
cap = cv.VideoCapture(0)
while(1):
# Take each frame
_, frame = cap.read()
# Convert BGR to HSV
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
# define range of BGR color in HSV
lower_blue = np.array([110,50,50])
upper_blue = np.array([130,255,255])
... | BioXtech/OpenCV-tests | object_tracking.py | object_tracking.py | py | 1,280 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
976712497 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 19 15:33:02 2022
@author: jouanel romain
"""
import pandas as pd
from sklearn.metrics.pairwise import sigmoid_kernel
from sklearn.feature_extraction.text import TfidfVectorizer
import pymongo
def cleanDf(df,userid,db):
#------------------ recuperer les i... | JouanelR/yu-meal | scratch_complete.py | scratch_complete.py | py | 3,984 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 92,
"usage_type": "call"
},
{
"api... |
2985047663 | import os
import re
import pickle
import scipy.misc
import numpy as np
import matplotlib.cm as cm
def get_indicators(pickle_path):
indicator_list = []
for i in os.listdir(pickle_path):
i = i.split("_")
ind_dir = "_".join([i[1], i[2]])
indicator_list.append(ind_dir)
return set(indi... | violaciao/Vision-Mask-and-Attend | deep-visual-masking/data_process/data_struct_brain.py | data_struct_brain.py | py | 2,533 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number"... |
37122656750 | import sys
import time
from datetime import datetime
from turtle import *
class time_zone_clock ():
def set_default_time(self):
obj_turtle = Turtle()
current_time = ""
detail_time = str(datetime.now())
current_time = detail_time[11:19]
hours,min,sec = int(current_... | Pk8753/clock | Clock/development/base_clock.py | base_clock.py | py | 1,041 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
}
] |
6176638 | from Reference_Files.mouse_and_keyboard_helper_functions import mouse_relative_position_from_center_normalized, on_press
import sys
sys.path.append('/home/srburnett/Stack-Inspectors')
from Drone_Realistic_Physics_Class import Drone_Realistic_Physics_Class
import math
import time
# The code to get the drone connected.... | ScottyB55/StackInspectors | src/Reference_Files/Instance_Drone_Realistic_Physics.py | Instance_Drone_Realistic_Physics.py | py | 1,535 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "Drone_Realistic_Physics_Class.Drone_Realistic_Physics_Class",
"line_number": 12,
"usage_type": "call"
},
... |
12482375031 | import torch
from typing import List
from glotnet.model.feedforward.wavenet import WaveNet
from glotnet.losses.distributions import Distribution, GaussianDensity, Identity
import glotnet.cpp_extensions as ext
import torch.nn.functional as F
class GlotNetAR(WaveNet):
""" Autoregressive GlotNet """
def __init_... | ljuvela/GlotNet | glotnet/model/autoregressive/glotnet.py | glotnet.py | py | 12,343 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "glotnet.model.feedforward.wavenet.WaveNet",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "glotnet.losses.distributions.Distribution",
"line_number": 24,
"usage_type": "name"
... |
23682265352 | import rclpy
from rclpy.node import Node
import math
from scipy.spatial import distance
from visualization_msgs.msg import Marker
from visualization_msgs.msg import MarkerArray
from nav_msgs.msg import OccupancyGrid
from tuw_multi_robot_msgs.msg import Graph
from exploration.msg import ExplorationState
from rclpy.qos i... | chathushkadhr/LocalizationAlgorithm-SUTD | best_vertices/best_vertices/best_vertices_node.py | best_vertices_node.py | py | 13,010 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rclpy.node.Node",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "visualization_msgs.msg.MarkerArray",
"line_number": 53,
"usage_type": "argument"
},
{
"api_name": "rclpy.qos.QoSProfile",
"line_number": 53,
"usage_type": "call"
},
{
"api_n... |
45678123655 | import sys
import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["OPENBLAS_NUM_THREADS"] = "4"
os.environ["MKL_NUM_THREADS"] = "4"
os.environ["OMP_NUM_THREADS"] = "4"
import subprocess
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from multiprocessing import Pool
import torch
from fu... | MattMcPartlon/AttnPacker | protein_learning/scripts/sidechain/standardize_scs.py | standardize_scs.py | py | 9,102 | python | en | code | 50 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_n... |
23947867962 | import yaml
import argparse
import os
parser = argparse.ArgumentParser(description='Sort images according to whether they can be used for calibration')
parser.add_argument('--input', dest='input', help='Input file', default='sorted_files/meta.yaml')
args = parser.parse_args()
with open(os.path.join(args.input), 'w') a... | hrc2da/hiro | sort_images.py | sort_images.py | py | 757 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_... |
36030175122 | from PyQt5.QtWidgets import (QWidget, QPushButton,
QLineEdit, QApplication,QLabel,QHBoxLayout,QVBoxLayout)
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont,QPixmap
import sys
def colloaction(id):
#调用搭配系统
#返回结果['id1','id2',...'idn']
if id == '29':
re = ['476354', '1315712','... | BERYLSHEEP/clothes-match-system | application.py | application.py | py | 5,376 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLineEdit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name... |
35666492590 | import datetime
import logging
import mimetypes
import os
from contextlib import suppress
import requests
from filelock import FileLock
from .utils import PROCESSING_RESULT
class Store:
def __init__(self, configuration):
self.config = configuration
self.logger = logging.getLogger(
"b... | henryk/belegmail | belegmail/store.py | store.py | py | 4,928 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "mimetypes.gu... |
40696499205 | # -*- coding: utf-8 -*-
import scrapy
from ..items import *
from ..SqliteOperator import *
import time
import sys
import urllib
conn = sqlite3.connect('sohuURL')
table = 'sohuURL'
fields = ('URL','Time')
db_create_table(conn, table, fields, ('URL'))
conn.text_factory=str
kw = sys.argv[2]
gQuery = None
class YoukuSpid... | 18708111002/Tools | sohuKeyWord/sohuKeyWord/spiders/crawlSohu.py | crawlSohu.py | py | 1,869 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Spider",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "time.strftime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"... |
13269033426 | import sys
import argparse
import pandas as pd
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
def GetArgs():
def ParseArgs(parser):
class Parser(argparse.ArgumentParser):
def error(self, message):
sys.stderr.write('error: %s\n' % message)
... | analytic-garden/B.1.1.7-Mutations | gisaid_reformat_fasta_headers.py | gisaid_reformat_fasta_headers.py | py | 3,587 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exi... |
15958073001 | import numpy as np
import nltk.corpus as corpus
from Utils import *
from nltk.corpus import treebank
# Condense a word (represented as an array of 0s and a single 1) to
# a vector of minor size
class Embedding:
def __init__(self, word_to_index, index_to_word, size = 10, distance = 2):
# Resulting vecto... | edgardanielgd/ME-Proyecto | src/Neural/Embedding.py | Embedding.py | py | 9,170 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.float16",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.float16",
"line_... |
39504676057 | import requests
import json
BASE_URL = 'https://theaudiodb.com/api/v1/json/2/'
URL_API_ALBUM = 'album.php?i={}'
URL_API_ARTIST = 'search.php?s={}'
URL_API_TRACK = 'track.php?m={}'
# Função criada antes da modificação da API
def get_artist_id(artist_name):
"""
Função que retorna o id do artista ao passar o no... | thalita-de-melo/UFRJ_Analitica_Tarefas | Tarefa_2_Programacao_P3/tarefa_2(GET-album-info).py | tarefa_2(GET-album-info).py | py | 3,394 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number":... |
21132946967 | from fastapi import FastAPI, UploadFile
from backend.ml_logic.model import load_trained_model, predict
from backend.ml_logic.data import preprocess_new_image
app = FastAPI()
# preload the stadard model from local directory given by LOCAL_MODEL_PATH
app.state.model = load_trained_model()
# creates wrapper
if app.stat... | lailadib/art_guessing | art_guessing/backend/api/fast_api.py | fast_api.py | py | 1,288 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "backend.ml_logic.model.load_trained_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.UploadFile",
"line_number": 20,
"usage_type": "name"
},
{
"api_na... |
9811196957 | import argparse
import matplotlib.pyplot as plt
import numpy as np
import torch
import yaml
from omegaconf import OmegaConf
from tqdm import tqdm
from src.ddpm import DDPM
from src.torch_utils import to_cpu
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--config", type=st... | yanivbenny/dual_diffusion | plot_losses.py | plot_losses.py | py | 2,615 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "omegaconf.OmegaConf.register_new_resolver",
"line_number": 25,
"usage_type": "call"
},
{
"... |
11884151313 | # Load libraries
import pickle
import numpy as np
import pandas as pd
import Get_data
from datetime import datetime
import time
import Snippets
from ML_finance import CatBoost
from Binance import Binance
account = Binance.Binance_acc()
from catboost import CatBoostClassifier
import warnings
warnings.filterwarnings... | berkutt/ML_Crypto | Main.py | Main.py | py | 4,896 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "Binance.Binance.Binance_acc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Binance.Binance",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "p... |
33555369746 | import os
import json
class Directory(object):
def __init__(self, name, parent = None):
self.subDirs = []
self.files = {}
self.name = name
self.parent = parent
self.fullPath = parent != None and f"{parent.fullPath}/{self.name}" or self.name
def Subdirectory(self, dirName):
if dirName in self.subDirs:
... | Jonax/AOC-2022 | Day07.py | Day07.py | py | 2,312 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 40,
"usage_type": "call"
}
] |
465572231 | from selenium import webdriver
import csv
import time
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 YaBrowser/21.8.3.614 Yowser/2.5 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,imag... | Alexand00r/WebScraping_selenium | main.py | main.py | py | 1,629 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "seleniu... |
8056491303 | from datetime import datetime, timedelta
import unittest
import mock
from mock import Mock, patch
from htm.it.app.adapters.datasource.cloudwatch import aws_base
class AwsBaseTest(unittest.TestCase):
def testGetMetricDataWithDefaultStartEndAndHasSamples(self):
class MyResourceAdapter(aws_base.AWSResourceAd... | bopopescu/numenta-apps-archived-htm.it-grokcli-htmitmobile | htm.it/tests/py/unit/app/adapters/datasource/cloudwatch/aws_base_test.py | aws_base_test.py | py | 3,874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "htm.it.app.adapters.datasource.cloudwatch.aws_base.AWSResourceAdapterBase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "htm.it.app.adapters.datasource.cloudwatch.a... |
9797359773 | from datetime import datetime
if __name__ == "__main__":
text = "2012-09-20"
y = datetime.strptime(text, "%Y-%m-%d")
z = datetime.now()
diff = z - y
print(diff)
print(z)
nice_z = datetime.strftime(z, "%A %B %d, %Y")
print(nice_z)
| tinylambda/keep | books/pc/ch3/ch3_15_2.py | ch3_15_2.py | py | 265 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datet... |
30974524560 | import math
import random
import pygame
import animation
import mapobject
import stuff
from constants import *
def vecadd(a, b):
try:
return (a[0] + b[0], a[1] + b[1])
except:
return (a[0] + b, a[1] + b)
def vecdel(a, b):
return (a[0] - b[0], a[1] - b[1])
def vecmul(a, b):
try:
... | MatMoore/hacks | pyweek-8/gamelib/units.py | units.py | py | 15,580 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mapobject.MapObject",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Group",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pygame.sprite"... |
29967310643 | from flask import Flask
from config import DefaultConfig
app = Flask(__name__)
# Load default configuration for the application (common across environments)
app.config.from_object(DefaultConfig)
# Load environment specific configuration
# app.config.from_envvar('BACKENDAPI_CONFIGURATION', silent=False)
app.config[... | gdsc-mitadt/blog-api | api/__init__.py | __init__.py | py | 501 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "config.DefaultConfig",
"line_number": 8,
"usage_type": "argument"
}
] |
27118223953 | import asyncio
from contextlib import suppress
import discord
from discord.ext import commands
class AutoPublishPlugin(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.db = bot.plugin_db.get_partition(self)
@commands.Cog.listener()
async def on_message(self, message):
... | sskewer/Modmail-Plugins | auto-publish/auto-publish.py | auto-publish.py | py | 1,697 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discor... |
31124742238 | from os import path
from setuptools import setup
with open(path.join(path.abspath(path.dirname(__file__)), 'README'), encoding='utf-8') as f:
long_description = f.read()
with open(path.join(path.abspath(path.dirname(__file__)), 'VERSION'), encoding='utf-8') as f:
version = f.read()
setup(name="ml_logger",
... | young-geng/ml_logger | setup.py | setup.py | py | 1,175 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number"... |
40373500234 |
import anndata as ad
import pandas as pd
import os
import subprocess
from tempfile import TemporaryDirectory
def limma_fit(
adata: ad.AnnData,
design: str,
output_path: str,
exec_path: str,
plot_output_path: str = None,
verbose: bool = False,
):
"""
Fit a limma model to transcriptomi... | openproblems-bio/neurips-2023-scripts | limma_utils.py | limma_utils.py | py | 5,135 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "anndata.AnnData",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",... |
6822034074 | from nonebot import require
from nonebot_plugin_apscheduler import scheduler
from nonebot import on_command
from nonebot.rule import to_me
import requests
from bs4 import BeautifulSoup
from nonebot.params import *
from nonebot.adapters.onebot.v11 import MessageSegment
require("nonebot_plugin_apscheduler")
tieba_news ... | seedoilz/my-qq-nonebot | my-bot/my-bot/plugins/garbage-finding/__init__.py | __init__.py | py | 4,237 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "nonebot.require",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nonebot.on_command",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nonebot.rule.to_me",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
12857094722 | from random import Random
from typing import Iterable, Callable, Iterator, List
class BucketGenerator:
"""
Performs bucketing of elements in a dataset by length.
"""
def __init__(self,
element_length_function: Callable[..., int],
batch_size: int,
buf... | as-ideas/headliner | headliner/preprocessing/bucket_generator.py | bucket_generator.py | py | 3,621 | python | en | code | 231 | github-code | 21 | [
{
"api_name": "typing.Callable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.Random",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"... |
25363959370 | import os
import logging
from torchvision import datasets
from torchvision import transforms
from .base_dataset import FilterDataset, split_dataset, CS20kDataset, CS80kDataset
cifar_class = ['airplane', 'automobile', 'bird', 'cat', 'deer',
'dog', 'frog', 'horse', 'ship', 'truck']
def CreateDataset(opt... | kentjaren/DL | cnn_cs/data/data_loader.py | data_loader.py | py | 2,185 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "base_dataset.CS20kDataset",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "base_dataset.CS80kDataset",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "base_dataset.FilterDataset",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
32999626596 | from django.db.models import Count
from django.forms.models import ModelChoiceIteratorValue
from rest_framework import pagination
from django_filters import ChoiceFilter, NumberFilter
from django_filters.rest_framework import DjangoFilterBackend, FilterSet
from django_filters.rest_framework.filters import BooleanFilt... | EQAR/eqar_db | api/uni_db/filters.py | filters.py | py | 3,548 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django_filters.rest_framework.DjangoFilterBackend",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django_filters.rest_framework.FilterSet",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "django_filters.rest_framework.FilterSet",
"line... |
18327613307 | """Data creation."""
from dataclasses import dataclass, asdict
from functools import partial
from typing import Callable, Iterable, List, Optional, Tuple
import json
import logging
import time
import traceback
from qiskit import Aer, QuantumCircuit
from circuits import create_structure_circuit, create_sycamore_circu... | Gistbatch/tree-tensor-network-simulator | data/data.py | data.py | py | 8,832 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "common.Circuit",
... |
72529353973 | import openai
import os
import json
from dotenv import load_dotenv
from datetime import datetime
load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")
# response_list = openai.Model.list()
# print(response_list)
# messages = []
# 定义文件路径
filename = "history/default.json"
history_global = []
# 如果文件存在，读取文件内容并将其反序... | zhaochuninhefei/playWithChatGPT | play-openai/talkWithSession.py | talkWithSession.py | py | 8,172 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"l... |
18815216071 | import os
from datetime import datetime
from lib.database import load_db
from lib.menus import create_submenu, advanced_submenu
from lib.actions import (initialize_db, add_host, add_user, add_key,
connect_to_host)
def print_centered(text):
term_width = os.get_terminal_size().columns
t... | diegopeixoto/sshtool | main.py | main.py | py | 2,306 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.get_terminal_size",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "lib.data... |
74438440691 | #!/usr/bin/env python
'''
This script takes chunked sentence-per-line input from an unsupervised parsing
program, clusters the output and creates a new dataset to chunk. This allows
the chunking system to be extended to "full" parsing out-of-the-box.
'''
import sys
from os import listdir, sep
from os.path import dir... | eponvert/upparse | scripts/cluster_up.py | cluster_up.py | py | 8,947 | python | en | code | 22 | github-code | 21 | [
{
"api_name": "sys.stderr",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "collections.de... |
16212407124 |
import matplotlib.pyplot as plt
import numpy as np
import os
from numpy import linspace
def task1():
fig, ax = plt.subplots()
A = 1.34941
x = linspace(-10, 10, 100)
y = -0.0001*(abs(np.sin(x)*np.sin(A)*np.exp(abs(100-(((x**2+A**2)**0.5)/np.pi))))+1)**0.1
ax.plot (x, y)
plt.show()
os.mkdir("results")
f = o... | Vlad1312/task1 | Task1 (1).py | Task1 (1).py | py | 629 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sin",... |
22680202866 | from scrapy.loader import ItemLoader
def lowercase_processor(self, values):
for v in values:
yield v.upper()
def add_dollar(self, values):
for v in values:
yield v + '$'
class MyItemLoader(ItemLoader):
filename_in = lowercase_processor
default_output_processor = add_dollar | wk1034832478/scrapy-demo | first/processors/filmprocessor.py | filmprocessor.py | py | 307 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scrapy.loader.ItemLoader",
"line_number": 10,
"usage_type": "name"
}
] |
3707562831 | from typing import List
from collections import deque
# 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 Solution1:
def getAllElements(self, root1: TreeNode, root2: TreeNode) -... | dmp2016/LeetCode | All Elements in Two Binary Search Trees.py | All Elements in Two Binary Search Trees.py | py | 1,410 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_num... |
12901837485 | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 13 21:29:01 2021
@author: changai
"""
import numpy as np
import pandas as pd
import xlrd
# load excel data
def read_excel(filename='./excel_data.xlsx', sheet='Sheet1', min_col=1, max_col=5, min_row=1, max_row=9):
row_of_tag = min_row-1 #value 0 means 1st raw in exc... | changzhiai/PlotPackage | build/lib/plotpackage/io.py | io.py | py | 1,550 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"lin... |
4453564310 | import time
from PIL import Image, ImageDraw, ImageFont, ImageSequence
import sys
import os
import cv2
import numpy as np
ASCII_CHARS = ["@","#","S","%","?","*","+",";",":",",","."]
def conversion (image,new_width=200):
width, height=image.size
ratio = height/width
new_height = int(new_wid... | MerlinTheProgramist/VideoASCII_artConverter | ASCI_video_converter.py | ASCI_video_converter.py | py | 2,584 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.new",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
17611782874 | #/bin/python
import collections
from lasagne import layers, nonlinearities, init
import theano
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
__all__ = [
"build_network"
]
def build_network(model_layers, output_shape, supervised=True):
# name generator
name_gen = NameGene... | p-koo/theanomics | theanomics/build_network.py | build_network.py | py | 25,886 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lasagne.layers.InputLayer",
"line_number": 33,
"usage_type": "call"
},
{
"api_nam... |
38726125496 | import config #/// User configuration
import log #/// Basic console logging
import json #/// read/write JSON
from libs import requests #/// HTML CRUD operations
from libs import xmltodict #/// XML parsing
#////////////////////////////////////////////////////////////////////... | marcodeltutto/UBWebPlotHandler | helpers.py | helpers.py | py | 2,209 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.BLESSED_PLOTS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "config.DOCDB_URL",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "libs.reque... |
18106207475 | import requests
from bs4 import BeautifulSoup
url = "https://movie.naver.com/movie/bi/mi/basic.nhn"
param_dic = {"code": 10016, "query": "나 홀로 집에"}
response = requests.get(url, param_dic)
try:
html = response.text
soup = BeautifulSoup(html, "html.parser")
review_list = soup.find("div", class_= "score_r... | Heansum/pythonStudy2 | chapter2/ex4.py | ex4.py | py | 823 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
}
] |
70471097333 | #%%
import numpy as np
from sklearn.datasets import load_digits
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
digits = load_digits()
X = digits.data
y = digits.target == 9
np.unique(y, return_counts = True)
X_train, X_test, y_train, y_test = train_test_split(
... | jeewonkimm2/scikitlearn_review | Business_Analytics/ClassImbalance.py | ClassImbalance.py | py | 4,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 15,
"usage_type": "call"
},
{
... |
19858096785 | from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import KNeighborsRegressor
from sklearn.model_selection import train_test_split
from kNN.kNNClassifier import kNNClassifier
import numpy as np
def run_model(data, targets, message, regression=False):
if regression:
classifiers = [KN... | Mando75/CS450 | DataHandling/lib.py | lib.py | py | 1,903 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sklearn.neighbors.KNeighborsRegressor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kNN.kNNClassifier.kNNClassifier",
"line_number": 15,
"usage_... |
21513256569 | # -*- coding: utf-8 -*-
import copy
import time
import jpype
from bourse import settings
from bourse.tools.es_client import ESClient
class CleanData(object):
def __init__(self):
# 采集ES数据库
self.es_client = ESClient(settings.ES_HOST_NAME, index_name=settings.ES_INDEX_NAME,
... | pythonyhd/bourse | bourse/tools/clean_data.py | clean_data.py | py | 8,684 | python | zh | code | 13 | github-code | 21 | [
{
"api_name": "bourse.tools.es_client.ESClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bourse.settings.ES_HOST_NAME",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bourse.settings",
"line_number": 14,
"usage_type": "name"
},
{
... |
72166530612 | '''
Description: From Financial Wisdom Youtube channel
"BITCOIN TRADING - Arguably The Best Bitcoin Trading strategy"
Indicators:
MACD: 26 period EMA, 12 period EMA, 9 period EMA (signal)
Use daily MACD indicator using settings above.
Rules:
BUY: price above 200 ma & macd > signal
SELL stop:
If ... | mdulansk/Back-Testing-Momentum-Strategy | Strategies/Using backtesting.py/MACD_w_MA.py | MACD_w_MA.py | py | 5,802 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "backtesting.Strategy",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "pandas_ta.sma",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series... |
73035798773 | import logging
import time
import os
import json
import numpy as np
from universe import rewarder, spaces, vectorized
from universe.utils import random_alphanumeric
logger = logging.getLogger(__name__)
extra_logger = logging.getLogger('universe.extra.'+__name__)
class Recording(vectorized.Wrapper):
"""
Record al... | LiuFang816/SALSTM_py_data | python/openai_universe/universe-master/universe/wrappers/recording.py | recording.py | py | 7,686 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "universe.vectorized.Wrapper",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "u... |
3577735280 | import requests
import os
import logging
from datetime import datetime
from pages.show_pages import ShowPage
from send_push import push
SHOW_URL = "https://www.howardstern.com/show/"
CRED_DIR = os.path.expanduser("~")
api_cred_file = "{0}/.howard_push_api.txt".format(CRED_DIR)
SCRIPT_EXC_DIR = os.path.dirname(os.path... | craigsorensen/howard | app.py | app.py | py | 2,718 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.expanduser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
70643728053 | import nltk
#nltk.download('stopwords')
import sys
import os
import string
import math
FILE_MATCHES = 1
SENTENCE_MATCHES = 1
def main():
# Check command-line arguments
if len(sys.argv) != 2:
sys.exit("Usage: python questions.py corpus")
# Calculate IDF values across files
files = load_files... | Caetanoog18/Question---Project | questions.py | questions.py | py | 6,195 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "nltk.sent_tokenize",
"line_n... |
33654477412 | """
Usage: pip install -e .
python setup.py install
python setup.py bdist_wheel
python setup.py sdist bdist_egg
twine upload dist/*
"""
# NOTE: Requires cx_freeze==6.0.b1 for linux builds
import sys
import versioneer
deps = [
"databroker",
"PyQt5==5.9.2" "pathlib",
"qtpy",
... | lbl-camera/Xi-cam | setup.py | setup.py | py | 4,385 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "versioneer.get_version",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "versioneer.get_cmdclass",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "setup... |
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