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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
40960705633 |
import seaborn as sns
import matplotlib.pyplot as plt
import split
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score
def NB_training_testing():
y,matrix_X =split.splitting()
#train model
NB_model = Mult... | frost64/FYP | Codes/naive_bayes.py | naive_bayes.py | py | 1,331 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "split.splitting",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.MultinomialNB",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 22,
"usage_type": "call"
},
{
... |
29583487991 | from django.db import models
from django.test import TestCase
from localized_text_field import LocalizedTextField, LocaleContext
class LocalizationTestClass(models.Model):
hello = LocalizedTextField()
class Meta(object):
app_label='localized_text_field'
class LocalizedTextFieldTests(TestCase):
... | emily-bain/localized_field | localized_text_field/test.py | test.py | py | 1,295 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "localized_text_field.LocalizedTextField",
"line_number": 7,
"usage_type": "call"
},
{
... |
10322996533 | import os
import json
import pickle
class cdmss:
def __init__(self, argv):
self.parameters = argv[1] # 超参数列表 json格式
self.info_path = argv[2] # 输入信息与输出结果保存地址 json格式
self.info_dict = self.read_json(self.info_path) # 与输出相关的信息
self.parameters_dict = self.read_json(self.parameters... | cooling-down/NLM | cdmss.py | cdmss.py | py | 7,492 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
39913305887 | try:
from tqdm import tqdm_notebook
except ImportError:
tqdm_notebook = lambda x: x
from collections import defaultdict
from optparse import OptionParser
import os.path
import re
import src.preprocess as preprocess
import src.knntools as knntools
def get_emails_from_text(email_body):
""... | GeoffNN/ALTEGRADEnron | src/manualprocessingtools.py | manualprocessingtools.py | py | 4,157 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tqdm.tqdm_notebook",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm_notebook",
"lin... |
24569629100 | import json
import datetime
# function to sort out the episodes
def sort_out(json):
# loop through the json
for movie_id in json:
ts = json[movie_id][0]
# after 2022-11-07 only
if(ts > 1667775600):
print((7-len(movie_id)) * ' ' + str(movie_id) + ' at ' + str(datetime.datetim... | McBaumwolle/trakt-data-restore | sort_movies_localstorage.py | sort_movies_localstorage.py | py | 479 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
}
] |
6501251665 | from datetime import datetime
from typing import Any, Dict, List, Optional, Union
import uuid
from sqlalchemy import select
from sqlalchemy.ext.asyncio.session import AsyncSession
from fastapi.encoders import jsonable_encoder
from app.crud.base import CRUDBase
from app.models.transfer_status import TransferStatus
from ... | pxuanbach/agri | app/crud/crud_transfer_status.py | crud_transfer_status.py | py | 2,451 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.crud.base.CRUDBase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.models.transfer_status.TransferStatus",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.schemas.transfer.TransferStatusCreate",
"line_number": 15,
"usage_ty... |
24771849849 | #coding:utf-8
# py3.5+tensorflow-1.0.1+keras-2.0.6
# seq2seq bilstm+cnn+crf
# pip install keras==2.0.6
# keras_contrib==2.0.8 pip install git+https://www.github.com/keras-team/keras-contrib.git
# pip install gensim
# 如缺少其它模块，看报错自行安装
import os,re
import codecs
import pickle
import time
import gc
impor... | FanhuaandLuomu/BiLstm_CNN_CRF_CWS | simple_bilstm_model/bilstm__cnn_crf.py | bilstm__cnn_crf.py | py | 12,590 | python | en | code | 378 | github-code | 21 | [
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "keras_contrib.layers.CRF",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "codecs.o... |
39361610923 | import yfinance as yf
import pandas as pd
from datetime import datetime
import csv
import math
import quandl
NASDAQ_API_KEY = "mMdxxnhaxfXQ-UqNCyZ_"
quandl.ApiConfig.api_key = NASDAQ_API_KEY
def explore_api(symbol):
msft = yf.Ticker(symbol)
# get stock info
# msft.info
# msft_var = json.loads(msft... | stevehemingway/yfinance_tests | scan_values.py | scan_values.py | py | 3,033 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "quandl.ApiConfig",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "yfinance.Ticker",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "date... |
20427752797 | from geometry import get_angles
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.patches import Arc
import numpy as np
def visualize(b, theta, bo, ro, res=4999):
# Find angles of intersection
kappa, lam, xi, code = get_angles(b, theta, np.cos(theta), np.si... | rodluger/starrynight | python/viz.py | viz.py | py | 10,915 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "geometry.get_angles",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number":... |
22998956925 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import networkx as nx
import matplotlib.pyplot as plt
g = nx.read_weighted_edgelist('edgelist.txt')
degree = nx.degree(g)
# then, pull out each of these connected components
# and sort them by the number of nodes in them
graphs = list(nx.connected_component_subgraphs(g)... | megansquire/patternflyConference | nxexamples/nx1.py | nx1.py | py | 821 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "networkx.read_weighted_edgelist",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "networkx.degree",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "networkx.connected_component_subgraphs",
"line_number": 12,
"usage_type": "call"
},
{
... |
5880862174 | import matplotlib.pyplot as plt
import numpy as np
def preprocess(filename):
with open(filename, 'r') as f:
data = []
for line in f:
row = line.strip().split()
data.append(row)
data = np.array(data, dtype=np.float)
return data
# plot of data poin... | ebele66/ML_Basics | kmeans.py | kmeans.py | py | 2,506 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
20500487796 | '''
Name: Allison Sharpe
Date: 10/2/15
Class: Design Patters for Web Programming
Assignment: Simple Form
'''
import webapp2 #use webapp2 library
class MainHandler(webapp2.RequestHandler): #declaring a class
def get(self): #function that starts everything. Catalyst - starts reaction
page_head = '''<!DOCTYP... | allisondsharpe/dpwp | Practice/simple-login-2/main.py | main.py | py | 1,293 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "webapp2.WSGIApplication",
"line_number": 42,
"usage_type": "call"
}
] |
36129032628 | from particles import ParticleSystem, drawParticles
import pygame
if __name__=="__main__":
screenDim = 400
pygame.init()
screen = pygame.display.set_mode((screenDim, screenDim))
Beta = 0.01
friction = 0.04
rMax = 0.5 # max distance
dt = 0.05
nColors = 6
particleSystem = Particle... | PeterWaIIace/ParticleLife | Python/main_simulation.py | main_simulation.py | py | 859 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "particles.Partic... |
29141233072 | import tensorflow as tf
import numpy as np
import cv2
import pdb
import pickle
import matplotlib.pyplot as plt
import pickle
import json
import os, glob
import copy
from utils import *
#####################################################################
## Write down the net we want to use
##########################... | guoqi1123/focaltrack | extra/run_nets_py.py | run_nets_py.py | py | 5,625 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "pickle.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"li... |
6675135866 | from Bio import SeqIO
from Bio import AlignIO
import sys
import argparse
def parse_args():
parser = argparse.ArgumentParser(description='Clean up coding consensus.')
parser.add_argument("-a", action="store", type=str, dest="alignment")
parser.add_argument("-o", action="store", type=str, dest="output_seq")... | polio-nanopore/realtime-polio | rampart/pipelines/process_sample/rules/curate_indels.py | curate_indels.py | py | 3,422 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Bio.AlignIO.read",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "Bio.AlignIO",
"line_number": 117,
"usage_type": "name"
}
] |
5862188277 | import json
import requests
from os.path import exists
from selenium import webdriver
from bs4 import BeautifulSoup
from selenium.webdriver.common.by import By
from aiogram import Bot, Dispatcher, executor, types
bot = Bot(token="5385147452:AAEQHoHBmcQnsrQLy7Ikw1bDztuSAcq4T9w")
dp = Dispatcher(bot)
def creator(data)... | huyumniy/studentTable | Scripts/studentTable.py | studentTable.py | py | 4,093 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "aiogram.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "aiogram.Dispatcher",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
10896049926 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import csv
import urllib
import json
from time import sleep
from datetime import datetime, timedelta
import os
import sys
sys.path.insert(0,'..')
from cfg import access_token
import requests
def get_json(url):
getjson = urllib.request.urlopen(url).read().decode('ut... | Skvortsovg/AGT_skvortsov | part2/scripts/groups_info.py | groups_info.py | py | 5,232 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request",... |
185053478 | import pygame, os, tkinter
from MechanismInterface import MechanismInterface
from QualityAppraiser import QualityAppraiser
from Utility import Utility
from tkinter import filedialog
lowerKbBound = 20
upperKbBound = 10240
clientId = 'rWlrkeV8HRJ6FvoBfPrhzR1TdqNuY9vMN856YZ8v'
clientSecret = 'wY8pwK2J7FrqVGZx2oL... | accurtis1/CS345-Quality-Appraiser | Mechanism.py | Mechanism.py | py | 5,215 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "MechanismInterface.MechanismInterface",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "Utility.Utility",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Qual... |
23097620753 | #from skimage import color, io
import os
import numpy as np
import torch
import cv2
from utils import util
import math
from model.loss import *
from collections import defaultdict
#import pickle
from utils import util, string_utils, error_rates
from datasets.hw_dataset import PADDING_CONSTANT
#THRESH=0.5
def getCor... | herobd/handwriting_line_generation | evaluators/styleworddataset_eval.py | styleworddataset_eval.py | py | 6,848 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "math.cos",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 27,
"usa... |
18956131721 | #
# Copyright (c) 2011, EPFL (Ecole Politechnique Federale de Lausanne)
# All rights reserved.
#
# Created by Marco Canini, Daniele Venzano, Dejan Kostic, Jennifer Rexford
# Contributed to this file: Peter Peresini
#
# Redistribution and use in source and binary forms, with or without
# modification, are permit... | mcanini/nice | model_checker/lib/strategies/heuristicconstctrldelay.py | heuristicconstctrldelay.py | py | 3,717 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "lib.strategies.strategy.Strategy",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "lib.strategies.strategy.Strategy.__init__",
"line_number": 42,
"usage_type": "call"
... |
72356686132 | import os
import random
import gymnasium as gym
import imageio
import numpy as np
import torch
from envwrapper import EnvWrapper
def fix_random_seeds(seed):
torch.manual_seed(seed)
torch.use_deterministic_algorithms(True)
np.random.seed(seed)
random.seed(seed)
def save_gif(frames, fname):
if n... | jerrykal/box2d-car-racing-ppo | util.py | util.py | py | 1,080 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "torch.manual_seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.use_deterministic_algorithms",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
2808798955 | import os, json
from elasticsearch import Elasticsearch, helpers
ES_CLUSTER_END_POINT = "http://elasticsearch.local-learning:9200"
print(f"ES_CLUSTER_END_POINT {ES_CLUSTER_END_POINT}")
source_index = 'image-index'
es = Elasticsearch([ES_CLUSTER_END_POINT],
use_ssl=False,
verify_certs=False, # in... | rjshree/python-elasticsearch-client | search_query.py | search_query.py | py | 1,123 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "elasticsearch.helpers.scan",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "elasticsearch.helpers",
"line_number": 13,
"usage_type": "name"
}
] |
467481963 | from typing import Optional
import telebot
def check_int(value: any):
try:
int_number = int(value)
except ValueError:
return None
return int_number
def delete_message_by_handling(
new_message: telebot.types.Message, bot: telebot.TeleBot,
message_for_deleting: telebot.typ... | KozlovKV/anki-bot | bot/utils.py | utils.py | py | 1,360 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "telebot.types",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "telebot.TeleBot",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "telebot.types",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "telebot.Te... |
36169014097 | from django.utils.translation import ugettext_lazy as _
NONE = _('Unique')
EXTRA_SMALL = _('x-Small')
SMALL = _('Small')
MEDIUM = _('Medium')
LARGE = _('Large')
EXTRA_LARGE = _('x-Large')
COMBO = _('Meal')
PERSONAL = _('Personal')
MEDIANA = _('Mediana')
FAMILIAR = _('Familiar')
SHOT = _('Shot')
MEDIA = _('Media')
BOTE... | camrom8/digimenu | menus/helpers/choices.py | choices.py | py | 1,760 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 5,
"u... |
22328557996 | #Mo's Algorithm SPOJ DQUERY
import math
import functools
from collections import defaultdict
n=int(input())
block_size=int(math.sqrt(n-1))
answer={} #stores the answer for each query
freq={} #contains freqs of elements in a
freq=defaultdict(lambda:0,freq)
def cmp(a,b):
x=a[0]//block_size
y=b[0]//block_s... | thecodearrow/Algorithms | Other neat hacks/Square Root Decomposition/Mo'sAlgo.py | Mo'sAlgo.py | py | 1,706 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 42,
"usage_type": "call"
}
] |
24275276021 | '''
/*CHANGE HISTORY
--CREATED BY--------CREATION DATE--------VERSION--------PURPOSE----------------------
Mehul Vaghela 11-Oct-2021 1.0 Initial Version.
*/
'''
import pandas as pd
import json
import re
import logging
import traceback
import datetime
from database import *
from common.ut... | deaasazure/Webapp | MS/main/profile/utils/player.py | player.py | py | 14,090 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "common.utils.logger_handler.custom_logger.LogClass",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "common.utils.logger_handler.custom_logger",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 30,
"usag... |
30018611457 | import tkinter
from tkinter import IntVar
from tkinter.ttk import Separator,Label,Frame,Radiobutton,Entry,Scale
from ttkthemes import ThemedStyle
class mainWindow(tkinter.Tk):
def __init__(self, screenName: str | None = None, baseName: str | None = None, className: str = "Tk", useTk: bool = True, sync: bool = Fal... | MaxKindaNUBa/WordSearch | wordSearchMenu.py | wordSearchMenu.py | py | 4,989 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tkinter.Tk",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ttkthemes.ThemedStyle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Label",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.Se... |
36464755299 | from django.conf.urls import url
from . import views
app_name = 'myblog'
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^register/$', views.register, name='register'),
url(r'^do_register/$', views.do_register, name='do_register'),
url(r'^register_suc/$', views.register_suc, name='regist... | yangruihan/KeepBlog | myblog/urls.py | urls.py | py | 1,319 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.c... |
10841278833 | from telethon import events
import asyncio
#from userbot.utils import admin_cmd
from userbot.events import register
from userbot import bot, CMD_HELP
from telethon.errors.rpcerrorlist import YouBlockedUserError
import os
try:
import subprocess
except:
os.system("pip install instantmusic")
os.system("rm -rf *.mp3"... | THESANSKARILADKA/Sanskari | userbot/plugins/songss.py | songss.py | py | 1,519 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "userbot.bot.conversation",
"line_nu... |
7074958630 | import requests
url="https://pic4.zhimg.com/80/v2-a2619db4605c37d19f5437bcd430e107_hd.jpg"
path=url.split('/')[-1]
r=requests.get(url)
with open(path,'wb') as f:
f.write(r.content)
| warm-nova/BIT_Python | getpictures.py | getpictures.py | py | 191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
}
] |
30484008442 | '''
Usage: python graphcrunch.py [z]f1|[z]m1 ARGS
where f1 args are one crunchFileName followed by parameters to graph, or
where m1 args are one parameter to graph followed by multiple crunchFiles.
A 'z' in front of f1 or m1 forces the y axis to start at 0.
'''
# graphcrunch.py
# Graph data from one or more... | jonjones22/project | graphcrunch_line.py | graphcrunch_line.py | py | 3,971 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_numbe... |
24580593543 | from dataclasses import dataclass
from typing import Any, Tuple
import numpy as np
from nlp.dataset import TextDataset
@dataclass
class SupervisedNNModelTrainConfig:
binary_out: bool = False
epoch: int = 1 # total # of training epochs
train_batch_size: int = 64 # batch size during training
eval_ba... | charliemorning/mlws | nlp/trainer.py | trainer.py | py | 2,092 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line... |
26581305422 | import sys
import os
from utils.Constants import SHAREPOINT_DIRECTORY, SPRINT_FOLDER_FORMAT
def print_with_progress(prefix: str, current: float, total: float, force_new: bool, dp: int = 0) -> str:
if force_new:
print()
sys.stdout.write(f'\r{prefix} {format_percentage(current, total, dp)}')
sys.std... | olliesharplin12/liquid-planner-analyzer | utils/Utils.py | Utils.py | py | 1,114 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdout.write",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"lin... |
9126817922 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
__kupfer_name__ = _("Chromium Bugs")
__kupfer_sources__ = ("BugsSource", )
__kupfer_actions__ = ()
__description__ = _("Index of a Chromium bookmarks folder")
__version__ = "2017.1"
__author__ = "Khurshid Alam"
'''
import os
import re
import sys
import json
import su... | khurshid-alam/Kupfer-Plugins-Extra | chromium/chromium.py | chromium.py | py | 3,413 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
26700811366 | # Created by Yuexiong Ding
# Date: 2018/9/26
# Description: 画图工具
import numpy as np
import matplotlib.pyplot as plt
from statsmodels.graphics.tsaplots import plot_acf
from MyModule import data
def draw_time_series(df_raw, cols):
"""
画时序图
:param df_raw:
:param cols:
:return:
"""
for c in co... | dyxm/PM2.5TransferLearning | MyModule/draw.py | draw.py | py | 2,058 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mat... |
17115897421 | import queue
import time
import PyQt5.QtWidgets as qtw
import PyQt5.QtGui as qtg
import PyQt5.QtNetwork as qtn
import PyQt5.QtCore as qtc
import numpy as np
from epyqtwidgets.ip4validator import IP4Validator
import epyqtsettings.settings_widgets as sw
from epyqtsettings.settings import Settings
from epyqtwidgets.indi... | ecpoppenheimer/dispense | src/dispense/dispenser_tcp_controller.py | dispenser_tcp_controller.py | py | 67,121 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 172,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": "epyqtsettings.settings.Settings",
"line_number": 216,
"usage_type": "call"
},
{
"api_name": "numpy.on... |
11761476724 | #Project 3 | Linear Classification
#Layth Yassin and Husam Almanakly
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn.metrics import roc_curve
mpl.use('TkAgg')
print('#### Synthetic Data Classification... ####')
print()
#Set up subplot figure
figure, axarr =... | husam-6/Projects | BayesianML/Project3.py | Project3.py | py | 7,568 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
6637147773 | import os
from chain.common.enum import StoreType
from chain.common.util import store_upload, chain_logger
from fate_arch.common import file_utils
import datetime
from fate_flow.web_server.db.db_models import StudioModelInfoExtend, StudioSampleInfo, StudioAuthUser, \
StudioProjectInfo, StudioProjectCanvas, StudioPa... | Seceum/SeceumFL | fateflow/python/chain/chain_start.py | chain_start.py | py | 1,649 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "chain.common.util.chain_logger.info",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "chain.common.util.chain_logger",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fate_flow.web_server.utils.common_util.datetime_format",
"line_number": 14... |
11925276033 | import torch
import torch.nn.functional as F
from torch import nn
from transformers.models.bert import BertModel, BertPreTrainedModel
class LSTM_SST2(nn.Module):
def __init__(self, input_dim, embedding_dim, hidden_dim, output_dim, n_layers,
bidirectional, dropout, batch_size):
super(LSTM_... | HJHGJGHHG/NLPPapers | Edge intelligence（NLP）/Knowledge Distillation/DistilLSTM/code/models.py | models.py | py | 2,760 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
4522100126 | import nltk
import random
from nltk.corpus import movie_reviews
documents = [(list(movie_reviews.words(fileid)), category)
for category in movie_reviews.categories()
for fileid in movie_reviews.fileids(category)]
##documents can be used for training
##documents = []
##for category in movie_re... | lightsalsa251/NLP-with-NLTK | text classification.py | text classification.py | py | 1,115 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.corpus.movie_reviews.words",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.movie_reviews",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.movie_reviews.categories",
"line_number": 6,
"usage_type": "call"
}... |
72223731894 | """
# Author: Yinghao Li
# Modified: October 27th, 2023
# ---------------------------------------
# Description: GUI for Minesweeper
"""
import numpy as np
import logging
from .core import MineField, ActionFeedback
from PyQt6.QtWidgets import QMainWindow, QPushButton
from PyQt6.QtCore import QSize, Qt, pyqtSignal
fro... | Yinghao-Li/Minesweeper-for-LLM | src/game/gui.py | gui.py | py | 7,364 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtGui.QColor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtGui.QColor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtGui.Q... |
15177892303 |
import tensorflow as tf
import tensorflow.contrib.layers as layers
import numpy as np
import random
from common.schedules import LinearSchedule
from common.replay_buffer import ReplayBuffer
class DQNAgent(object):
"""
refs: https://github.com/skumar9876/Hierarchical-DQN/blob/master/dqn.py
"""
def __i... | GongXudong/DRL_IMPL | DQN/DQNAgent.py | DQNAgent.py | py | 11,711 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "common.schedules.LinearSchedule",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tensorflow.train.AdamOptimizer",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tensorflow.train",
"line_number": 56,
"usage_type": "attribute"
},
{
... |
75213214773 | import json
from functools import partial
import re
import FrameAPI
import os
import importlib
PluginList = []
# 默认config.json目录：../../PyPluginConfig/AsoulFansCounting
# 或者 ./PyPluginConfig
def CheckCommand(MessageType, MessageContain,CommandMap):
for x in CommandMap.keys():
t = json.loads(x)
Mat... | dreagonm/DgmBot | MainProcess.py | MainProcess.py | py | 1,703 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_nu... |
22644724362 |
import logging
from selenium import webdriver
import chromedriver_autoinstaller
from pyvirtualdisplay import Display
########################
# Logging functionality
########################
class FilterLogging(object):
def __init__(self, level):
self.__level = level
def filter(self, logRecord):
... | ActurialCapital/openresa-bot | bot/utils.py | utils.py | py | 1,878 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.Forma... |
29275568900 | """
Unit tests for DatasetFinder class.
"""
import unittest
from hdf5reader.dataset_finder import DatasetFinder
import h5py
class TestDatasetFinder(unittest.TestCase):
"""
Unit tests for FileFinder class.
"""
def test_dataset_finder(self):
files = ["/mnt/space1/pospelov/data/d3hack/ver1/hdf5/d... | gpospelov/python-sandbox | hdf5reader/test/test_dataset_finder.py | test_dataset_finder.py | py | 579 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "hdf5reader.dataset_finder.DatasetFinder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "h5py.Dataset",
"line_number": 18,
"usage_type": "attribute"
},
{
"a... |
1146537492 | from django.contrib.auth import forms as auth_forms, login
from django import forms
from project.accounts.models import Profile
from project.common.helpers import BootstrapFormMixin, DisabledFieldsFormMixin
UserModel = auth_forms.get_user_model()
class CreateProfileFormAbstract(BootstrapFormMixin, auth_forms.UserC... | a-angeliev/helpy | project/accounts/forms.py | forms.py | py | 3,644 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.forms.get_user_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "project.common.helpers.BootstrapFormMixin",
"line_number": 11,
"usage_ty... |
8044609396 | import random
import time
from typing import Optional, Union
import uuid
import warnings
from z3 import (
ArithRef,
Array,
Int,
IntSort,
Optimize,
Or,
Solver,
SolverFor,
Store,
Sum,
get_param,
unsat,
unknown,
set_option,
)
from processscheduler.objective import ... | tpaviot/ProcessScheduler | processscheduler/solver.py | solver.py | py | 29,521 | python | en | code | 46 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
35216116567 | from blspy import AugSchemeMPL, PrivateKey
from chia.util.ints import uint16, uint64
from chia.types.blockchain_format.program import Program, SerializedProgram
from chia.wallet.wallet import Wallet
from chia.types.blockchain_format.coin import Coin
from chia.types.coin_solution import CoinSolution
from chia.types.spen... | deanrobin/easy_chia | wallet_example.py | wallet_example.py | py | 7,613 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "blspy.PrivateKey.from_bytes",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "blspy.PrivateKey",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "chia.wallet.puzzles.p2_delegated_puzzle_or_hidden_puzzle.puzzle_for_pk",
"line_number": 37,
... |
12400195529 | #==========================================================================
# Program: NetworkAllocations.py ---- CLASS ---
# Author: Jorge E. Rodriguez
# Date Created: May-25-2018
# Date Last Modified: May-25-2018
# Summary: This is Class to for the NetworkAllocations
#==========================================... | jorgeerodriguez/BVAnalytics | NetworkAllocations.py | NetworkAllocations.py | py | 78,456 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "Utils.Get_Values",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "Utils.Get_ODBC_Name",... |
12038656926 | from django.urls import path
from . import views
app_name = 'myapp'
urlpatterns = [
path('', views.listView, name='list'),
path('add', views.addMovie, name='add'),
path('random', views.randomMovie, name='random'),
path('movies', views.selectMovie, name='movies'),
path('discover', views.discoverMovi... | ThePowerfulProgrammer/Old-django-projects | myapp/urls.py | urls.py | py | 399 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
73030798133 | '''
This module implements the Locality Sensitive Hashing index
with MinHash (MinHash LSH) and Weighted MinHash (Weighted MinHash LSH)
Both indexes supports query with Jaccard similarity threshold.
Reference: Chapter 3, Mining of Massive Datasets
(http://www.mmds.org/)
'''
from collections import defaultdict
_inte... | LiuFang816/SALSTM_py_data | python/ekzhu_datasketch/datasketch-master/datasketch/lsh.py | lsh.py | py | 6,215 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "scipy.integrate.quad",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "scipy.integrate.quad",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.quad",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collec... |
19478360331 | import pandas as pd
import pdb
import os
import re
import requests
import io
from alpha_vantage.timeseries import TimeSeries
from time import sleep
api_key = 'KDDTQTNE9OTMD4V4.'
symbols = ['EURUSD','GBPJPY','GBPUSD','NZDJPY','USDCAD','USDJPY','EURGBP','EURJPY','GBPAUD']
time_window = 'daily'
def main():
ts = Tim... | chanmoto/chanmoto.github.io | crawl.py | crawl.py | py | 931 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alpha_vantage.timeseries.TimeSeries",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
}
] |
12566496795 | from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.optimizers import Adam
import random
import gym
from gym.wrappers.monitoring import Monitor
import numpy as np
from collections import deque
DEBUG = False
# https://keon.io/deep-q-learning
class DQNAgent:
def __init__(self, ... | hsgui/interest-only | deeplearning/openai-gym/cartpole_dqn_1.py | cartpole_dqn_1.py | py | 4,124 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "keras.la... |
9395287990 | import sys
import pygame
from pygame.locals import *
pygame.init()
gameMode_audio = pygame.mixer.Sound('gameMoswAudio.mp3')
gameMode_audio.play()
screen_width = 1000
screen_height = 800
BACKGROUND = pygame.image.load('img/background.png')
screen = pygame.display.set_mode((screen_width, screen_height))
pygame.display.... | NishilNayak/FlappyBird-hand-controlled-computer-vision | textbutton.py | textbutton.py | py | 2,217 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.Sound",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
... |
8446320723 | from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import render, redirect, get_object_or_404
from django.views.generic.base import View
from django.contrib.auth import logout, login, authenticate
from django.contrib.auth.decorators import login_required
from rest_framework.response import... | Jrxxs/Web-Chat | Messenger/views.py | views.py | py | 10,383 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "models.User.objects.filter",
"line_number": 28,
"usage_type": "call"
},
{
... |
73190218291 | # -*- coding: utf-8 -*-
from ludaweb.api.apps import App
__version__ = '0.1'
from flask import Flask
from flask_restful import Api, Resource
from celery import Celery
app = Flask('ludaWeb')
app.debug = True
# app.config['CELERY_BROKER_URL'] = 'redis://47.92.37.219:6379/0'
# app.config['CELERY_RESULT_BACKEND'] = 'red... | Jetzzzzz/luda | ludaweb/__init__.py | __init__.py | py | 2,036 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_... |
34639603927 | # author: nilput <github.com/nilput>
# to install dependencies:
# pip install capstone
# pip install pyelftools
from capstone import *
from elftools.elf.elffile import ELFFile
from types import SimpleNamespace as Namespace
import argparse
import functools
opts = Namespace(**{
'print_disassembly' : False, ... | nilput/objcpuid | main.py | main.py | py | 7,989 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "elftools.elf.elffile.ELFFile",
"line_number": 164,
"usage_type": "call"
},
{
"api_name... |
10603012081 | from typing import Dict, List, Any
from overrides import overrides
import logging
import torch
from allennlp.data import TextFieldTensors, Vocabulary
from allennlp.models.model import Model
from allennlp.modules import Seq2VecEncoder, TextFieldEmbedder, Embedding
from allennlp.nn.util import get_text_field_mask
from a... | jjzha/kompetencer | mtp/machamp/models/machamp_model.py | machamp_model.py | py | 12,106 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "allennlp.models.model.Model",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "allennlp.data.Vocabulary",
"line_number": 22,
"usage_type": "name"
},
{
"api_name":... |
42442026933 | import numpy as np
import scipy.stats as ss
import scipy.special as sp
from .poisson_kalman_recursions import nl_univariate_KFS, nld_univariate_KFS
from .family import Family
from .flat import Flat
from .normal import Normal
from .gas_recursions import gas_recursion_poisson_orderone, gas_recursion_poisson_ordertwo
fr... | RJT1990/pyflux | pyflux/families/poisson.py | poisson.py | py | 13,640 | python | en | code | 2,066 | github-code | 21 | [
{
"api_name": "family.Family",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number":... |
15398609410 | ##########################
# Authors: Nate Welch & David Jennings
# Version: 12/14/2021
# Purpose: Uses BS4 to scrape data from the web
##########################
import time
from multiprocessing import Pipe, Process
import selenium.common.exceptions
from bs4 import BeautifulSoup
import urllib.request
import html5lib
... | nat3423/WCU_Alexa_Skill | web_scraper.py | web_scraper.py | py | 9,476 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "multiprocessing.Pipe",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 66,
"usage_type": "call"
},
{
"api... |
2895433002 | """mysite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-base... | TomatoFish666/RecSystem | mysite/mysite/urls.py | urls.py | py | 1,366 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "InfoRec.views.home",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "InfoRec.views",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.con... |
5267493831 | import os
import numpy as np
import sys
import multiprocessing
import time
import pandas as pd
import tensorflow as tf
import cv2
from utils import detector_utils as detector_utils
from utils import label_map_util
class FasterRCNN(multiprocessing.Process):
def __init__(self, input_pipe, kcf_pipe, gpu_id, num_clas... | UDC-GAC/HybridTracker | object_detection/faster_rcnn_tracker.py | faster_rcnn_tracker.py | py | 3,370 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "multiprocessing.Process",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Process.__init__",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 15,
"usage_type": "attribute"
},... |
2462862094 | import json
from cmd import Cmd
import requests
class NodesInfo:
def __init__(self):
self.node_ip = ""
self.nodes_ip = []
nodes_info = NodesInfo()
class MinerCLI(Cmd):
prompt = "miner_cli: "
def __init__(self):
Cmd.__init__(self)
def check_state_of_server(self, node):
try:
if node != '':
url =... | oriabyi/Blockchain | miner_functions/miner_cli.py | miner_cli.py | py | 4,509 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cmd.Cmd",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "cmd.Cmd.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cmd.Cmd",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 24... |
33930974441 | from django.shortcuts import render
from django.views.generic.base import TemplateView, View
from catalyst_count.redis import redis
from upload_data.models import CompanyModel
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.views.generic.list import ListView
from django.core.e... | SleepinNinja/catalyst-count | query_builder/views.py | views.py | py | 1,927 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.views.generic.base.TemplateView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "catalyst_count.redis.redis.sort",
"line_number": 16,
... |
20177138949 | import os
from os.path import join, exists
import pandas as pd
import numpy as np
import transformers
import surprisal
from surprisal import AutoHuggingFaceModel
import json
import copy
from transformers import BertTokenizer, BertForMaskedLM, GPT2Tokenizer
from src.utils import configuration, transformers_bert_complet... | smeylan/child-directed-listening | src/utils/load_models.py | load_models.py | py | 13,475 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "src.utils.configuration.Config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "src.utils.configuration",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "copy.copy",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "copy... |
27506208037 | # -*- coding: utf-8 -*-
import sys
import six
import numpy as np
from tqdm import tqdm
from preparation import *
class Preprocess(object):
def __init__(self,
word_seg_config={},
doc_filter_config={},
word_filter_config={},
word_index_config={}
... | zhuwenbo1988/nlp | text_similarity/matchpyramid/preprocess/preprocess.py | preprocess.py | py | 6,133 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "six.MAXSIZE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "six.MAXSIZE",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tqdm.tqdm",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_num... |
32503531416 | import os
import xml.etree.ElementTree
import zipfile
import re
BENIGN_DIR = '/mnt/ssd/dku-apk/dku20_decoded/benign'
MALWARE_DIR = '/mnt/ssd/dku-apk/dku20_decoded/malware'
def extract_perm(apk):
filepath = os.path.join(apk, 'AndroidManifest.xml')
str = ""
tree = xml.etree.ElementTree.parse(filepath)
root = tr... | euicheon123/school | extract_team03.py | extract_team03.py | py | 2,508 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree.etree.ElementTree.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
7079418744 | '''
### BEGIN NODE INFO
[info]
name = DAC AD660 Server
version = 1.0
description =
instancename = DAC AD660 Server
[startup]
cmdline = %PYTHON% %FILE%
timeout = 20
[shutdown]
message = 987654321
timeout = 20
### END NODE INFO
'''
from labrad.server import LabradServer, setting, Signal, inlineCallbacks
from api import ... | johnpalsberg/John-Palsberg | QsimMaster/servers/dacAD660/dacAD660server.py | dacAD660server.py | py | 6,347 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.dac_ad660_config.hardwareConfiguration.pulseTriggered",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "config.dac_ad660_config.hardwareConfiguration",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "config.dac_ad660_config.hardwareC... |
21151327821 | from typing import Callable, Iterable, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
LayerSize = int
def hidden_init(layer) -> Tuple[float, float]:
fan_in = layer.weight.data.size()[0]
lim = 1.0 / np.sqrt(fan_in)
return -lim, lim
class NeuralNet... | trentondelahaye/deep-rl-tennis | agents/networks.py | networks.py | py | 4,064 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.sqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_num... |
70309694774 | """KDE and histogram plots for multiple variables."""
import warnings
from ..data import convert_to_dataset
from ..labels import BaseLabeller
from ..sel_utils import (
xarray_var_iter,
)
from ..rcparams import rcParams
from ..utils import _var_names
from .plot_utils import default_grid, get_plotting_function
# p... | arviz-devs/arviz | arviz/plots/densityplot.py | densityplot.py | py | 10,895 | python | en | code | 1,461 | github-code | 21 | [
{
"api_name": "data.convert_to_dataset",
"line_number": 188,
"usage_type": "call"
},
{
"api_name": "data.convert_to_dataset",
"line_number": 190,
"usage_type": "call"
},
{
"api_name": "labels.BaseLabeller",
"line_number": 196,
"usage_type": "call"
},
{
"api_name":... |
42956494722 | import socket
import select
import sys
import queue
import re
import datetime
# create socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.setblocking(0)
# bind socket
ip_addr = sys.argv[1]
port_number = int(sys.argv[2])
sock.bind((ip_addr, port_number))
# Echo server
h2 = ('10.10.1.100', 8888)
# fi... | Shaun7heSheep/computerNetwork | rdp.py | rdp.py | py | 9,671 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
8223973300 | ## Import library
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR, StepLR, MultiStepLR
from torch.utils.data import DataLoader
from torch.utils.data import sampler
import torchvision.data... | yurayli/pytorch-cifar-10 | models.py | models.py | py | 14,841 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
11383604178 | import smtplib
import time
import imaplib
import email
import traceback
import json
def mail_create(mailaddres,pw,author):
latestmail = gatherMail(mailaddres, pw)
try:
cassio = open("database.json", "r")
db = json.load(cassio)
cassio.close()
#db[author] = {"creds": ["try", "... | josefpython/discord_mail | mail_fetcher.py | mail_fetcher.py | py | 1,573 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "imaplib.IMAP4_SSL",
"line... |
15864969502 | import base64
import altair as alt
import streamlit as st
import pandas as pd
import plotly.express as px
import matplotlib.pyplot as plt
import json
import os
from bokeh.plotting import figure
from bokeh.palettes import Category20c
from math import pi
from bokeh.transform import cumsum
# Chargement des images
def get... | DorianSanjivy/DataVizProject | main.py | main.py | py | 12,787 | python | fr | code | 0 | github-code | 21 | [
{
"api_name": "base64.b64encode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
72075240373 | #!/usr/bin/env python3
import urllib.request
import urllib.parse
import sys
import xml.etree.ElementTree
URL = 'http://api.bart.gov/api/bsa.aspx'
KEY = 'MW9S-E7SL-26DU-VV8V'
def do_command(cmd, **args):
args['cmd'] = cmd
args['key'] = KEY
uu = URL + '?' + urllib.parse.urlencode(args)
res = urllib.request.u... | squeed/muni-countdown | pylib/municountdown/bart.py | bart.py | py | 746 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 18,
"usage_type": "name"
},
{
"api_name"... |
23134097322 | # -*- coding:utf-8 -*-
# @Author : Cheng
# @Time : 2022/5/7 17:04
from collections import deque
from typing import List
class Solution:
def minMutation(self, start: str, end: str, bank: List[str]) -> int:
if start == end:
return 0
bank = set(bank)
if end not in bank:
... | chengcct/Algorithmic-exercises | leetcode/433. 最小基因变化.py | 433. 最小基因变化.py | py | 1,035 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
}
] |
74813025971 | import collections
class Solution(object):
def numBusesToDestination(self, routes, S, T):
"""
:type routes: List[List[int]]
:type S: int
:type T: int
:rtype: int
"""
if S == T: return 0
stop_bus = collections.defaultdict(set)
for bus in range(l... | kduan005/Leetcode | leetcode815.py | leetcode815.py | py | 1,104 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
}
] |
70460117814 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.test import TestCase
from api.models import Event, Attempt
from django.contrib.auth.models import User
from api import serializers
import datetime
"""
Tests all parameters and fields of AttemptSerializer
"""
def create_event():
return E... | Fanner487/fyp-django | fyp/api/tests/serializers/test_attempt_serializer.py | test_attempt_serializer.py | py | 4,261 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "api.models.Event.objects.create",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "api.models.Event.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "api.models.Event",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
3214270638 | """ Routines to perform fits """
import numpy as np
from scipy import special
def fit_discrete_powerlaw(xval:np.ndarray, xmin:int,
alph_mnx:tuple, npts=1000):
"""Perform a power-law fit to a distribution of
discrete (integer) values
See https://www.jstor.org/stable/pdf/25662336.... | profxj/mhw_analysis | papers/MHWS/Analysis/py/fitting.py | fitting.py | py | 1,591 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scipy.special.zeta",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.special",
... |
17172572948 | from subprocess import Popen
from subprocess import PIPE
import os
from os import path
import sys
import argparse
import configparser
import errno
import time
import json
from fiodb import *
FIO_DEBUG = 1
buildconfig = ""
fiosql_db = ""
fiosql_column = ""
Threads = [1, 2, 4, 8, 12, 16, 24]
Bursts = ["4K", "1M"]
de... | riteshharjani/fioperf | fioperf.py | fioperf.py | py | 6,050 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "argument"
},
{
"api_name": "errno.EEXIST",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_n... |
5755979009 | # -*- coding: utf-8 -*-
from odoo import api, fields, models
from datetime import timedelta, date
import dateutil.parser
from datetime import timedelta, date
import dateutil.parser
import datetime
class CashBankWizard(models.TransientModel):
_name = "cash.bank.wizard"
_description = "Cash Bank Wizard"
d... | intisoft22/2023-Triyudha | accounting_excel_report/wizard/cash_bank.py | cash_bank.py | py | 3,041 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Date",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "odoo.fie... |
10695074474 | #modules to request server stuff
from urllib.request import urlopen
from urllib.parse import urlencode
import matplotlib.pyplot as plot
import json, random, math, os, sys
#be able to call commands
import subprocess as cmd
#import matrix repr
from numpy import mat
#import numpy for errors
import numpy as numpy
#imp... | whaatt/TrailblazerServer | processing/trailblazer.py | trailblazer.py | py | 25,703 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
5686466716 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from utils import *
class BatchTreeEncoder(nn.Module):
def __init__(self, vocab_size, embedding_dim, encode_dim, batch_size, use_gpu, pretrained_weight=None):
super(BatchTreeEncoder, self).__init__()
... | pkt-attn/pkt-attn | models/astnn/model.py | model.py | py | 7,849 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
71447982452 | import requests
import json
url='https://fanyi.baidu.com/basetrans'
qury_string=input('请输入中文内容：')
data={'query': qury_string,
'from': 'zh',
'to': 'en'}
headers={'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/... | haunledeshuchang/baidufanyi | json文件处理（百度翻译）.py | json文件处理（百度翻译）.py | py | 609 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
}
] |
33900738937 | import torch
from torchmetrics import Accuracy
from utils import AverageMeter
from tqdm import tqdm
device = 'cuda' if torch.cuda.is_available() else 'cpu'
# Train Function
def train_one_epoch(model, train_loader, loss_fn, optimizer, epoch=None):
model.train()
loss_train = AverageMeter()
acc_train = Accu... | Ebimsv/Train_CUB-200 | train_val_functions.py | train_val_functions.py | py | 1,614 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "utils.AverageMeter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchmetrics... |
44094555803 | from typing import Any, Optional, List, Dict, Generator
import time
import tempfile
import statistics
import gradio
import faceswap.globals
from faceswap import wording
from faceswap.vision import count_video_frame_total
from faceswap.core import limit_resources, conditional_process
from faceswap.uis.typing import Upd... | GiladLeef/faceswap | faceswap/uis/components/benchmark.py | benchmark.py | py | 4,441 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "gradio.Dataframe",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "gradio.Checkbox... |
28421227673 | import csv
import datetime
import matplotlib.pyplot as plt
def parse_time(text):
return datetime.datetime.strptime(text, '%Y-%m-%d %H:%M:%S.%f')
def load_csv(filename):
with open(filename, encoding='utf8') as f:
return list(csv.reader(f, delimiter=','))
# id, task, variant, group, time
messages = ... | SAleksanyaS/python | 34.py | 34.py | py | 1,171 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
28623206323 | from dbnd._core.parameter import PARAMETER_FACTORY as parameter
from dbnd._core.task import Config
class HistogramConfig(Config):
_conf__task_family = "histogram"
spark_parquet_cache_dir = parameter(
default=None,
description="Enables pre-cache DF using .parquet store at `spark_temp_dir`",
... | kalebinn/dbnd | modules/dbnd/src/dbnd/_core/settings/histogram.py | histogram.py | py | 621 | python | en | code | null | github-code | 21 | [
{
"api_name": "dbnd._core.task.Config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "dbnd._core.parameter.PARAMETER_FACTORY",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dbnd._core.parameter.PARAMETER_FACTORY",
"line_number": 13,
"usage_type": "ca... |
74424862454 | from rest_framework import serializers
from api.models import Employment
from rest_flex_fields.serializers import FlexFieldsSerializerMixin
class EmploymentSerializer(
FlexFieldsSerializerMixin,
serializers.ModelSerializer,
):
"""
Serializer for Employment model.
"""
class Meta:
model... | utchchhwas/hrxcelerate | backend/api/serializers/employment_serializers.py | employment_serializers.py | py | 1,767 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "rest_flex_fields.serializers.FlexFieldsSerializerMixin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_numbe... |
73360943732 | from flask import jsonify
from flask import request
import requests
from flask import Blueprint
create_api = Blueprint('create_api', __name__)
@create_api.route('/create_schedule', methods=['POST', 'GET'])
def create_schedule():
if request.method == 'POST':
json_data = request.get_json()
instance... | anshul-shaive/AWS-Instance-Scheduler | app/api/create.py | create.py | py | 1,386 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.request.... |
74677465331 | import telebot
import constants
import requests
import pickle
import os
#from flask import Flask, request
import logging
#-----------------
API_TOKEN = constants.token
appid = constants.appid
units = "metric"
bot = telebot.TeleBot(API_TOKEN)
bot.delete_webhook()
#server = Flask(__name__)
def deserialize(file_name)... | tenebranum/telegramWeatherBot | main.py | main.py | py | 4,085 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "constants.token",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "constants.appid",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "telebot.TeleBot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load... |
18846175365 | import numpy as np
from scipy.optimize import curve_fit
'''
Miscellaneous functions used for data reduction/calibration.
'''
def damped_osc_amp(f, A, f0, g):
'''Fitting function for AMPLITUDE of a damped harmonic oscillator
INPUTS: f [Hz], frequency
A, amplitude
f... | stanfordbeads/OptLevAnalysis | lib/funcs.py | funcs.py | py | 5,044 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_numb... |
932545386 | import pandas as pd
import sklearn.metrics as sm
from sklearn import tree
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
class Prediction :
RF_tree = None
def __init__(self):
self.chd_data = pd.read_csv("./dataset/framingham1.csv")
... | omkumbhar/heart-diseases-prediction | classification.py | classification.py | py | 1,480 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 35,
"usage_type": "call"
}
] |
30337395374 | import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
from sklearn.model_sele... | ganjiajiat/FIT3162_GIT | Machine Learning/pca_experiment.py | pca_experiment.py | py | 4,374 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.isnull",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
... |
15710652180 | import asyncio
from typing import Collection, List, Text
from unittest.mock import Mock
import pytest
import rasa.shared.utils.common
def test_all_subclasses():
class TestClass:
pass
subclasses = [type(f"Subclass{i}", (TestClass,), {}) for i in range(10)]
sub_subclasses = [
type(f"Sub-s... | xiaolinpeter/rasa2.0_nlu | tests/shared/utils/test_common.py | test_common.py | py | 3,582 | python | en | code | 30 | github-code | 21 | [
{
"api_name": "rasa.shared.utils.common.shared.utils.common.all_subclasses",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rasa.shared.utils.common.shared",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "rasa.shared.utils.common",
"line_number": 21... |
12923174742 | from .models import Teams, Round
from django.http import JsonResponse
def get_ranklist(request):
try:
_round = request.GET.get('round')
team_infos = [i.current_info(_round) for i in Teams.objects.all()]
rsp = dict(
code=0, data=dict(round=Round.get_round(), team_infos=team_info... | Sindgein/GAC | game2/api.py | api.py | py | 2,423 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Teams.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Teams.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Teams",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.R... |
15375647650 | import matplotlib.pyplot as plt
import io
import lldb
import debugger
import base64
import numpy as np
import matplotlib
matplotlib.use('agg')
def show():
image_bytes = io.BytesIO()
plt.savefig(image_bytes, format='png', bbox_inches='tight')
document = '<html><img src="data:image/png;base64,%s"></html>' %... | vadimcn/codelldb | debuggee/debugvis.py | debugvis.py | py | 1,847 | python | en | code | 2,112 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
43168612077 | import argparse
import logging
import os
import shutil
import sqlite3
import sys
import tempfile
from datetime import datetime
from zope.component import provideUtility # type: ignore
from . import VERSION
from .aip import process as aipprocess
from .constants import HASH_ALGORITHMS
from .sip import addsiparguments
... | NASA-PDS/deep-archive | src/pds2/aipgen/main.py | main.py | py | 4,432 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 63,
"usage_type": "attribute"
},
{
... |
14187469192 | from datetime import datetime
import uuid
import json
from db import db
class Event(db.Model):
__tablename__ = 'events'
id = db.Column(db.String, primary_key=True, default=str(uuid.uuid4()), unique=True, nullable=False)
name = db.Column(db.String)
date = db.Column(db.DateTime)
picture = db.Colum... | adhiravishankar/countdown-organizer | flaskProject/models.py | models.py | py | 620 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "db.db.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "db.db.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "db.db",
"line_number": 11,
... |
36342075248 | from dataclasses import dataclass, asdict
from typing import List, Optional
@dataclass
class ProspectorLauncherRequestBody:
"""
Helper class to create a proper request to Waterfall API for Prospector Launcher endpoint.
Detailed documentation here:
https://docs.waterfall.to/waterfall-v1-1/endpoints/pr... | matejch/waterfall | models.py | models.py | py | 3,738 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
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