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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
379114860 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 15 10:49:19 2019
@author: matteo
"""
import argparse
import screenutils as su
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--name', help='First characters of screens to kill', type=s... | null | script/killer.py | killer.py | py | 483 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "screenutils.list_screens",
"line_number": 16,
"usage_type": "call"
... |
131727712 | # -*- coding: utf-8 -*-
"""
This spider is a GameJobKR spider created on top of the ATSSpider
scrapy crawl gamejob_kr -a mining_job_id=9999 -a iteration=1 -a extract=1 -a url="http://www.gamejob.co.kr/List_Gi/GI_Total_List.asp"
sample job url:
http://www.gamejob.co.kr/List_GI/GIB_Read.asp?GI_No=109... | null | brightcorp/brightcorp/spiders/gamejob_kr.py | gamejob_kr.py | py | 4,714 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "brightcorp.base.atsspiders.ATSSpider",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.Selector",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
347144208 | from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import ListView, CreateView, DetailView, UpdateView, View
from ..models import Employee, Job
from ..mixins import IsStaffMixin
from ..forms import JobEmpl... | null | employees/views/job.py | job.py | py | 2,458 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mixins.IsStaffMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 10,
"usage_type": "name"... |
82462026 | #!/usr/bin/env python
import sys
import webbrowser
from pathlib import Path
import wx
import nucos
# the GUI imports
from . import __version__
from . import oil_quantity
from . import icons
from .about_dialog import AboutDialog
from .bringing_up_help_dialog import BringingUpHelpDialog
from .utilities import Signifi... | null | src/wxnucos/gui.py | gui.py | py | 16,803 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nucos.GetUnitTypes",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "wx.Panel.__init__",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"li... |
267772634 | #coding:utf-8
import random
import numpy as np
import matplotlib.pyplot as plt
def tirer(n):
return 0
def f(diff, alpha): #Fonction ÉLO
return 1/(1 + np.exp((diff/alpha)))
mu = 0.9
listePropReussite = [mu, 1 - mu]
n = len(listePropReussite)
listeScoreELO = [100]*n #On initialise tous les arcs à 100 points... | null | simulationConvergenceGeo.py | simulationConvergenceGeo.py | py | 3,090 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.plo... |
265982198 | import base64
import io
from flask import Flask, render_template, send_file, abort, redirect, request, flash, jsonify
from werkzeug.utils import secure_filename
from Services.CfgService import CfgService
from Services.FileFolderService import FileFolderService
from Services.Greenscreen.GreenscreenBackgroundService im... | null | serverMain.py | serverMain.py | py | 11,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Services.Db.ServerDbService.ServerDbSevice.getPictureNames",
"line_number": 26,
"usage_type": "call"
... |
112050484 | import pymysql.cursors
import os
import threading
import time
import sys
clearFunc = lambda: os.system('clear')
# name that appears in application
name = "YOUR NAME"
def receiving(name, lastId):
try:
while True:
# connecting to the database
# change these
connection ... | null | Online_Chat/Online_Chat_Linux.py | Online_Chat_Linux.py | py | 6,202 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.curs... |
282484317 | import torch
import torch.nn as nn
from torchvision import models
class Encoder(nn.Module):
channels_in = 3
channels_code = 512
def __init__(
self,
pretrained: bool = True
):
super(Encoder, self).__init__()
vgg = models.vgg16_bn(pretrained=pretrained)
del vgg.c... | null | autoencoder/backbone/vgg16_bn.py | vgg16_bn.py | py | 5,169 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torchvision.models.vgg16_bn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.m... |
298587954 | from __future__ import division, absolute_import, print_function
import os
import backtrader as bt
from btconfig import BTConfigDataloader
from btconfig.helper import get_data_dates
from btconfig.feeds.misc import CSVAdjustTime, CSVAdjustTimeMVRVData, CSVAdjustTimeCloseOnly
from btconfig.utils.dataloader import CoinM... | null | btconfig/feeds/coinmetrics.py | coinmetrics.py | py | 3,346 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "btconfig.BTConfigDataloader",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "btconfig.feeds.misc.CSVAdjustTime",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "backtrader.TimeFrame.TFrame",
"line_number": 22,
"usage_type": "call"
},
... |
133878920 | r"""!\file
Routines for working with HDF5.
"""
from logging import getLogger
from pathlib import Path
import yaml
import h5py as h5
import numpy as np
from . import Vector, isleVersion, pythonVersion, blazeVersion, pybind11Version
from .random import readStateH5
from .collection import listToSlice, parseSlice, subsl... | null | src/isle/h5io.py | h5io.py | py | 11,132 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "h5py.Group",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 42... |
24024715 | import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
import cv2
import pickle
import time
from skimage.feature import hog
import matplotlib.pyplot as plt
print("Starting HOG feature extraction and saving...")
start = time.time()
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
pickles_dir = os.path.join(BASE_DIR, "... | null | venv/src/hog_features.py | hog_features.py | py | 960 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
339707109 | #QIE.py
#QIE settings - Ordered by most significant bits
from collections import OrderedDict
serialShiftRegisterBits = OrderedDict(
[("LVDS/SLVS", [0]),
("P0, P1", [1, 2]),
("DiscOn", [3]),
("TGain", [4]),
("TimingThresholdDAC", [5,6,7,8,9,10,11,12]),
("TimingIref", [13,14,15]),
("PedastalD... | null | client/TestSoftware/QIE.py | QIE.py | py | 6,753 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.OrderedDict",
"line_number": 5,
"usage_type": "call"
}
] |
165608044 | import bct as bctDevV2
import numpy as np
from tqdm import tqdm
from struct import pack
import sys
#####################################################################################################################
infile='mergedLJ_.0'
outfile='cutLJ_.0'
trees=bctDevV2.read_binary(infile)
count = 0
branchingTrees ... | null | CPAC/treebuilding/oldCode/massCutLJ2.py | massCutLJ2.py | py | 9,518 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bct.read_binary",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number":... |
547750269 | #
# tsne.py
#
# Implementation of t-SNE in Python. The implementation was tested on Python
# 2.7.10, and it requires a working installation of NumPy. The implementation
# comes with an example on the MNIST dataset. In order to plot the
# results of this example, a working installation of matplotlib is required.
#
# Th... | null | tflib/tsne.py | tsne.py | py | 7,764 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 28,
... |
37375091 | #!/usr/bin/env python3
# Copyright (c) 2018-present, Jaron Powser, all rights reserved.
#
# Licensed under the MIT License accompanying this project.
# See the LICENSE file in root directory of the source tree.
"""rargparse.py: Argument parsing with many options preconfigured."""
import argparse
import os
__version... | null | riga/rargparse.py | rargparse.py | py | 10,464 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "argparse.HelpFormatter",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "argparse.REMAINDER",
"line_number": 122,
"usage_type": "attribute"
},
{
... |
24065350 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql
from xiaodiaodaya.config.db_config import DB_CONFIG
from xiaodiaodaya.util.encryption_util import get_md5_value... | null | python/xiaodiaodaya/xiaodiaodaya/pipelines.py | pipelines.py | py | 1,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymysql.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "xiaodiaodaya.config.db_config.DB_CONFIG",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "xiaodiaodaya.util.encryption_util.get_md5_value",
"line_number": 37,
"usage_type"... |
339406969 | # coding=utf-8
# Copyright 2021 The IDEA Authors. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by a... | null | 19.sentence_rewrite/Fengshenbang-LM/fengshen/examples/zen2_finetune/fengshen_token_level_ft_task.py | fengshen_token_level_ft_task.py | py | 28,693 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.ceil",
... |
93886077 | import os
from pathlib import Path
import shutil
class DEFAULTS:
# The home dir
HOME_DIR = str(Path.home())
# The default song dir
SONG_DIR = os.path.join(HOME_DIR, 'Music')
# The temp dir
SONG_TEMP_DIR = os.path.join(SONG_DIR, 'ytmdl')
# The default song quality
SONG_QUALITY = '... | null | setupConfig.py | setupConfig.py | py | 1,921 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path.home",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
259603869 | # -*- coding: utf-8 -*-
""" TcEx Notification Module """
import json
class TcExNotificationV2(object):
"""TcEx Notification Class"""
def __init__(self, tcex):
""" Initialize the Class properties.
Args:
tcex (obj): An instance of TcEx object.
"""
self._tcex = tcex
... | null | tcex/tcex_notification_v2.py | tcex_notification_v2.py | py | 3,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 88,
"usage_type": "call"
}
] |
381290578 | #! /usr/bin/env python
#
# This script compares RFMIP results from RTE+RRTMGP against a benchmark
#
import os
import numpy as np
import xarray as xr
ref_dir = "reference"
tst_dir = "."
rrtmg_suffix = "_Efx_RTE-RRTMGP-181204_rad-irf_r1i1p1f1_gn.nc"
tst = xr.open_mfdataset(os.path.join(tst_dir, "r??" + rrtmg_suffix))... | null | examples/rfmip-clear-sky/compare-to-reference.py | compare-to-reference.py | py | 1,203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xarray.open_mfdataset",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "xarray.open_mfdataset... |
276196567 | from telebot import types
def g_markup(L):
markup = types.ReplyKeyboardMarkup()
markup.add(*[types.KeyboardButton(b) for b in L])
return markup
def g_inl_mark(L, prefix=''):
# prefix is needed when you want call back with commands like:
# /ls inline-name
if prefix:
prefix += ' '
... | null | src/markups.py | markups.py | py | 1,032 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "telebot.types",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "telebot.types.KeyboardButton",
"line_number": 6,
"usage_type": "call"
},
{
"api_nam... |
57147762 | """initial migration
Revision ID: 21f8ed125d43
Revises: 3b523ea66eb1
Create Date: 2017-06-04 09:42:52.937553
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '21f8ed125d43'
down_revision = '3b523ea66eb1'
branch_labels = None
depends_on = None
def upgrade():
... | null | MyFlask/migrations/versions/21f8ed125d43_initial_migration.py | 21f8ed125d43_initial_migration.py | py | 977 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
543143408 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('web_chat', '0021_sengimg_test'),
]
operations = [
migrations.RenameField(
model_name='sengimg',
old_... | null | web_chat/migrations/0022_auto_20170513_1756.py | 0022_auto_20170513_1756.py | py | 387 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RenameField",
"line_number": 14,
"usage_type": "call"
},
... |
347350147 | import pygame, random, os
from modules import players, items, enemies, consts, platforms
class Level:
def __init__(self, player = None):
self.set_of_platforms = set()
self.set_of_bullets = pygame.sprite.Group()
self.set_of_enemy_bullets = pygame.sprite.Group()
self.set_of_items = p... | null | modules/levels.py | levels.py | py | 10,769 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.sprite.Group",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Group",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.sprite... |
513871656 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
from sys import argv
from ete3 import Tree, faces, TreeStyle, NodeStyle, CircleFace
import script_tree
PREFIX = argv[1]
if len(argv)==3:
OUT_PREFIX=argv[2]
else:
OUT_PREFIX=PREFIX
species_tree = script_tree.readTree(open(PREFIX+".s... | null | scripts/ArbreConflit.py | ArbreConflit.py | py | 5,224 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "script_tree.readTree",
"line_number... |
123356244 | from os import path
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from tqdm import tqdm
import lightgbm as lgb
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import KFold
class LgbmPipeline():
def __init__(self, modelName):
sel... | null | lgbmPipeline.py | lgbmPipeline.py | py | 5,866 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"l... |
392329635 | #!/usr/bin/env python3
##-*- coding:utf-8 -*-
#pyy -i
#eg: pyy pdb2.py aa # kill to signal by self
'''
关于python：使用pdb附加进程 https://www.codenong.com/25308847/
os.kill(pid, sig)
kill -30
##
有一个pdb的克隆，想象中称为pdb克隆，它可以附加到正在运行的进程上。
只需在主进程的代码中添加from pdb_clone import pdbhandler; pdbhandler.register()，然后就可以用pdb-attach --kill ... | null | tx19/python/pdb2.py | pdb2.py | py | 959 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pdb.Pdb",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 32,
... |
362390973 | import torch
import torch.nn.functional as F
class Trainer:
def __init__(self, model, optimizer, loader):
self.model = model
self.optimizer = optimizer
self.loader = loader
self.epochs = 50
self.data_variance = None
self.phases = ['train']
self.train_recon_e... | null | trainer.py | trainer.py | py | 1,884 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functio... |
384374310 | from django.urls import re_path, path
from .views import ChargingStationTopNearListView
app_name = 'volt_finder'
urlpatterns = [
path('near_poi/<poi_location>/', ChargingStationTopNearListView.as_view(
{'get': 'get_top_cs_near_poi_no_date'}), name='cs_near_poi_status_any'),
path('near_poi/<poi_locati... | null | django-server/api_django/volt_finder/urls.py | urls.py | py | 478 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.ChargingStationTopNearListView.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.ChargingStationTopNearListView",
"line_number": 8,
"usage_type": "name"... |
149076651 | from common.utils import create_matrix, copy_matrix
class FloidMethodCalculator(object):
def __init__(self, graph=None, d=None):
self.d = d if d else self._init_d(graph)
self.r = self._init_r()
def _init_d(self, graph):
d = create_matrix(graph.vertex_count, graph.vertex_count)
... | null | 8 semester/SAIO/lab4/algoritms.py | algoritms.py | py | 1,347 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "common.utils.create_matrix",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.utils.create_matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "common.utils.copy_matrix",
"line_number": 29,
"usage_type": "call"
},
{
"ap... |
462727912 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# __author__ = "anyux"
# Date: 2018/11/8
from django.conf.urls import url
from study.views import user
from study.views import course
from study.views import classList
urlpatterns = [
# 用户
url(r'^login/', user.login),
url(r'^register/', user.register),
ur... | null | study/urls.py | urls.py | py | 866 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "study.views.user.login",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "study.views.user",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dja... |
113769977 | """
Prepare basic datapack dirs for Mcdp lancher.
"""
import os
import asyncio
from shutil import copyfile
from functools import partial
from pathlib import Path, PurePath
from typing import Any, Callable, Dict, Optional, Set, Union
from .context import get_context, Context, TagManager
from .config import get_version... | null | mcdp/file_struct.py | file_struct.py | py | 3,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.T_version",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "aio_stream.Stream",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
101615874 | from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
from selenium import webdriver
from selenium.webdriver.common.by import By
def click_by_xpath(driver, path):
try:
wait = W... | null | amazon/pages/finding_locators.py | finding_locators.py | py | 850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.element_to_be_clickable",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expe... |
270710909 | from pathlib import Path
import setuptools
README = Path(__file__).parent.absolute() / "readme.md"
README = README.read_text(encoding="utf8")
setuptools.setup(
name="ogc",
version="1.99.37",
author="Adam Stokes",
author_email="adam.stokes@ubuntu.com",
description="ogc, a runner of things",
lo... | null | setup.py | setup.py | py | 1,209 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
}
] |
253043272 | import datetime
from abc import abstractmethod
class Field(object):
attribute = None
default = None
def __init__(self, attribute=None, default=None):
self.attribute = attribute
self.default = default
@abstractmethod
def format(self, value): pass
class StringField(Field):
""... | null | flask_toolbox/serializer.py | serializer.py | py | 2,901 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "abc.abstractmethod",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strftime",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "... |
266192414 | # from datasets_loader
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from test.datasets_loader import DatasetsLoader
x_train, y_train, x_test, y_test, x_val, y_val = DatasetsLoader.load_data(
'/home/lucjan/PycharmProjects/kaggle/tweet-sentimental-extraction/data/train.csv',
'/ho... | null | tweet-sentimental-extraction/test/worksheet.py | worksheet.py | py | 842 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "test.datasets_loader.DatasetsLoader.load_data",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "test.datasets_loader.DatasetsLoader",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_numbe... |
83743084 | from flask import Flask, render_template, request
from src.bracket import find_all_brackets, Bracket
from src.char_pred import PRED_TYPES
from src.show_state import get_curr_show_state
from src.utils import CHAR_TIERS, TIERS, CHAR_NAMES
application = Flask(__name__)
@application.route('/')
def home():
return re... | null | wsgi.py | wsgi.py | py | 2,242 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.bracket.find_all_brackets",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "src.sh... |
651250434 | ''''
@author Lukas Huber
@email lukas.huber@epfl.ch
@date 2018-10-12
'''
import numpy as np
from math import pi
import matplotlib.pyplot as plt # only for debugging
import warnings
import sys
lib_string = "/home/lukas/Code/MachineLearning/ObstacleAvoidanceAlgroithm/lib_obstacleAvoidance/"
if not any (lib_string in... | null | lib_obstacleAvoidance/intersection_points.py | intersection_points.py | py | 7,148 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_n... |
649402476 | #!/usr/bin/env python
"""
Your task in this exercise is to modify 'extract_carrier()` to get a list of
all airlines. Exclude all of the combination values like "All U.S. Carriers"
from the data that you return. You should return a list of codes for the
carriers.
All your changes should be in the 'extract_carrier()' f... | null | notes/udacity/data_wrangling_with_mongodb/lesson04/01-quiz.py | 01-quiz.py | py | 1,924 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.Session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 42,
"usage_type": "call"
}
] |
394630851 | import yaml
def write_data():
data = {'Search_Data': {
'search_test_002': {'expect': {'value': '你好'}, 'value': '你 好'},
'search_test_001': {'expect': [4, 5, 6], 'value': 456}}}
with open("./data3.yml", "a") as f:
yaml.safe_dump(data, f, encoding="utf-8", allow_unicode=True)
if __name_... | null | Data/write_data.py | write_data.py | py | 362 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.safe_dump",
"line_number": 9,
"usage_type": "call"
}
] |
390600096 | import Helper
import openpyxl
import time
from sklearn import svm
start_time = time.time()
rootPath = "G:\semester\semester 4-1\ML Lab\Dataset\Fake_News_Detection\Fake_News_Detection"
path = "\{}".format("fake_or_real_news.xlsx")
path = rootPath + path
book = openpyxl.load_workbook(path)
sheet = book.active
# Initi... | null | Codes/Fake_News_Detection/Fake_News_Detection.py | Fake_News_Detection.py | py | 1,868 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Helper.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Helper.getWordList",
... |
436892917 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
get_ipython().run_line_magic('matplotlib', 'inline')
# In[2]:
df = pd.read_csv('train.csv')
# In[3]:
df.head()
# Looks like 4 columns have high variance and would poss... | null | ML project/Customer churn prediction/Customer_churn_prediction_piped.py | Customer_churn_prediction_piped.py | py | 5,571 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xticks",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
26178236 | import numpy as np
import matplotlib.pyplot as plt
n_samples = 500
C = np.array([[0.1, 0.6], [2., .6]])
X = np.random.randn(n_samples, 2) @ C + np.array([-6, 3])
plt.axis('equal')
plt.scatter(X[:, 0], X[:, 1], s=10, alpha=0.8)
plt.title("Raw Data")
plt.show()
Xc = X - np.mean(X,axis=0)
plt.axis('equal')
plt.scatter(X... | null | 05-svd/svd-pca.py | svd-pca.py | py | 807 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line... |
395955061 | from scipy import misc
import numpy as np
import tensorflow as tf
import random
# --------------------------------------------------
# setup
ntrain = 1000 # per class
ntest = 100 # per class
nclass = 2 # number of classes
imsize = 28
nchannels = 1
vsize = imsize*imsize # vector size
batchsize = 100
Train = np.zeros(... | null | TensorFlowTutorial/ex7.py | ex7.py | py | 4,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": ... |
449939261 | import json
#read superheroes json
with open('superheroes.json', 'r') as f:
superheroes = json.load(f)
#save data for each member into a csv row
import csv
with open('superheroes.csv', 'w') as f:
writer = csv.writer(f)
#write headers
header = ['name', 'age', 'secretIdentity', 'powers', 'squadName' 'homeTown', '... | null | superherocsvmaker.py | superherocsvmaker.py | py | 916 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 12,
"usage_type": "call"
}
] |
100697999 | """
storage:core.subsystem
"""
import asyncio
import radiality
from core.eventers import storage
from core.effectors import center
from core.effectors import console
class Storage(radiality.Subsystem):
"""
The `storage` subsystem
"""
eventer = storage.Eventer
effectors = {
'center': cent... | null | example/storage/core/subsystem.py | subsystem.py | py | 679 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "radiality.Subsystem",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "core.eventers.storage.Eventer",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "core.eventers.storage",
"line_number": 17,
"usage_type": "name"
},
{
... |
78709254 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 20 20:46:16 2019
@author: yhosni18
"""
import numpy as np
import nibabel as nib
import sys
import math
import matplotlib.pyplot as plt
import time
import sklearn
from sklearn.svm import SVC
from sklearn.model_selection import StratifiedKFold
from s... | null | masking_with_pca.py | masking_with_pca.py | py | 5,908 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nibabel.load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number":... |
241927166 | import json
import os
import pickle
import argparse
import numpy as np
from tqdm import tqdm
from vocab import Vocab
def tokens_to_ids(args, token_infile=None):
debug_str = '_mini' if args.debug else ''
phrase_str = '_phrase' if args.combine_phrases else ''
if token_infile is None:
token_infile... | null | preprocess/tokens_to_ids.py | tokens_to_ids.py | py | 1,570 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "vocab.get_ids",
"line_number": 30... |
343995679 | import torch
from torch import nn
from utils import Flatten
class LeNet(nn.Module):
def __init__(self):
super(LeNet, self).__init__()
self.conv1 = nn.Conv2d(1, 6, kernel_size=5, stride=1, padding=0)
self.max1 = nn.MaxPool2d(kernel_size=2, stride=2)
self.conv2 = nn.Conv2d(6, 16, ke... | null | ConvNets/LeNet.py | LeNet.py | py | 1,087 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
535038012 | import discord
import json
from discord.ext import commands
class Announcement(commands.Cog):
def __init__(self, client):
self.client = client
print(f"{__name__} 로드 완료!")
@commands.command()
async def 공지(self, ctx, *, ann):
if not ctx.author.id == 288302173912170497:
... | null | bb2cogs/announcement.py | announcement.py | py | 1,213 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discord.ut... |
204407408 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 30 11:55:29 2020
@author: 李博
"""
import os
import pandas as pd
import json
import datetime
import time
# MONGODB CONNECT
import tushare as ts
pro = ts.pro_api('003137d7baa1439f01f9d2917992de6b8511f70f84612c78574d6996')
today=time.strftime('%Y%m%d',)
#计算指定日期的前N天的时间戳
def g... | null | getData/toMongodb_dailybasic.py | toMongodb_dailybasic.py | py | 1,799 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tushare.pro_api",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
27953585 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import datetime
import logging
import hashlib
import uuid
from optparse import OptionParser
from http.server import HTTPServer, BaseHTTPRequestHandler
from scoring import get_interests, get_score
from store import Store, RedisStore
SALT = "Otus"
ADMIN_LOGIN = ... | null | dz3.1/api.py | api.py | py | 10,778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 110,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strftime",
"line_number": 116,
"usage_type": "call"
},
{
"a... |
454223778 | import numpy as np
from lifetimes.datasets import load_donations
from lifetimes.fitters.beta_geo_beta_binom_fitter import BetaGeoBetaBinomFitter
from pytest import fixture
from bgbb import BGBB
from bgbb.sql.bgbb_udfs import mk_udfs
from bgbb.wrappers import to_abgd_od
df = fixture(load_donations)
@fixture
def dfs(... | null | tests/test_bgbb_udfs.py | test_bgbb_udfs.py | py | 1,555 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lifetimes.datasets.load_donations",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "p... |
629686638 | from businessView.page_首页 import page_首页
from selenium.webdriver.common.by import By
import logging
from time import sleep
class page_取纸机(page_首页):
"!!!!定位器!!!!"
"按钮定位器"
btn_热线 = (By.XPATH, "//*[@bounds='[0,1984][1080,2060]']")
"文本定位器"
txt_设施位置 = (By.XPATH, '//*[@text="设施位置"]')
"!!!操作层!!!!"
... | null | businessView/page_取纸机.py | page_取纸机.py | py | 1,197 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "businessView.page_首页.page_首页",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 10,
"usage_type":... |
79808610 | import json
import unittest
from spn.structure.Base import Context
from spn.structure.leaves.parametric.Parametric import *
class TestParametric(unittest.TestCase):
def setUp(self):
self.tested = set()
def assert_correct(self, expected, data):
self.tested.add(type(expected))
domains... | null | src/spn/tests/test_parametric_mle.py | test_parametric_mle.py | py | 1,662 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "spn.structure.Base.Context",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "unittest.... |
374480414 | import random
import math
import networkx as nx
def load_graph():
Data = open('musae_facebook_edges.csv', "r")
next(Data, None) # skip the first line in the input file
Graphtype = nx.Graph()
G = nx.parse_edgelist(Data, delimiter=',', create_using=Graphtype,
nodetype=str)
retu... | null | Exercises1_project2.py | Exercises1_project2.py | py | 4,071 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "networkx.Graph",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "networkx.parse_edgelist",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "networkx.single_source_dijkstra",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "... |
177319327 | import pdb
import random
import pandas as pd
from sklearn.linear_model import LinearRegression
import yfinance
TICKER = 'TQQQ'
STRATEGY = 'random'
def calculate_pnl(row):
TAKE_PROFIT = 0.02
STOP_LOSS = 0.05
# STOP_LOSS = 0.1
if row['Direction'] == 1: # long
if row['Open/Low'] >= STOP_LOSS:... | null | research.py | research.py | py | 3,468 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yfinance.Ticker",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 55,
"usage_type": "call"
}
] |
29588586 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
主界面
"""
import os
import re
import xlrd
import xlwt
from Tkinter import Tk
from Tkinter import Label
from Tkinter import Entry
from Tkinter import Button
from Tkinter import StringVar
from Tkinter import BooleanVar
from Tkinter import Checkbutton
from tkFileDialog impor... | null | gui_main.py | gui_main.py | py | 15,888 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Tkinter.Tk",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 62,
"u... |
342659013 | url = "https://api.soccerama.pro/v1.2/countries?api_token=&include=competitions"
import requests
from footballapi.FAConnetion import get_mongodb
db = get_mongodb()
def get_bookmakers():
payload = {'api_token': "I32Smt5Ize0fH0lwmiwY2lo26VgGmuQXd2MkAND0WjZjBlCKk4gJQ50JGbN9"}
r = requests.get('https://api.so... | null | soccerama/odds.py | odds.py | py | 1,584 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "footballapi.FAConnetion.get_mongodb",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
}
] |
358964442 | from django.apps import apps
from django.conf import settings
class ListasController(object):
"""
listas de objetos para los combos
"""
def __init__(self):
# propiedades
self.modelo_name = 'unknow'
self.modelo_id = 'unknow'
self.modelo_app = 'unknow'
def get_lista... | null | controllers/ListasController.py | ListasController.py | py | 9,725 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.apps.apps.get_model",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.apps.apps",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.STATUS_ACTIVO",
"line_number": 27,
"usage_type": "attribute"
},
{
... |
394524841 | import scipy.io as sio
import numpy as np
from sklearn import linear_model, cluster
FULL_DIR = "../MSdata.mat"
TRAIN_DIR = "data/md_train.mat"
TEST_DIR = "data/md_test.mat"
TEST_SIZE = 10000
def kmeans(n_cls):
train_size = 463715
test_size = 51630
train_x, train_y, test_x = (sio.loadmat(FULL_DIR)['trainx'... | null | kmeans.py | kmeans.py | py | 2,726 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.concatenate",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
... |
228740199 | from os import environ
from os.path import join, dirname
from dotenv import load_dotenv
import requests
from lxml import html
import json
from datetime import datetime
from pytz import timezone
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
PERIOD1_SELECTOR = '//*[@id="page-wrapper"]/div[3]/di... | null | scrape.py | scrape.py | py | 6,607 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
84072365 | import numpy as np
from scipy import special
from great_expectations.rule_based_profiler.parameter_builder.numeric_metric_range_multi_batch_parameter_builder import (
NP_SQRT_2,
)
# Please refer to "https://en.wikipedia.org/wiki/Normal_distribution" and references therein for background.
def test_standard_deviat... | null | tests/rule_based_profiler/parameter_builder/test_parameter_computations.py | test_parameter_computations.py | py | 1,051 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "great_expectations.rule_based_profiler.parameter_builder.numeric_metric_range_multi_batch_parameter_builder.NP_SQRT_2",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "scipy.special.erfinv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.... |
622688364 | class DebugLog:
__logger = None
@staticmethod
def instance():
if DebugLog.__logger is None:
import logging
import os
# create logger with 'spam_application'
DebugLog.__logger = logging.getLogger('aiohttp_framework')
DebugLog.__logger.setL... | null | http/core/helpers/DebugLog.py | DebugLog.py | py | 851 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "{'logging': 'logging', 'os': 'os'}.__logger",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "{'logging': 'logging', 'os': 'os'}.__logger.setLevel",
"line_number": 12,
... |
619887933 | """For storing, manipulating, and measuring molecular structures"""
import itertools
import re
from collections import deque
from copy import copy as shallow_copy
from copy import deepcopy
from warnings import warn
from urllib.request import urlopen
from urllib.error import HTTPError
import numpy as np
import AaronTo... | null | geometry.py | geometry.py | py | 52,676 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "AaronTools.utils.prime_numbers.Primes",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "AaronTools.fileIO.FileReader",
"line_number": 53,
"usage_type": "argument"
},
{
"api_name": "AaronTools.fileIO.FileReader",
"line_number": 58,
"usage_type": "c... |
422712206 | from flask import Flask, render_template, request
from caesar import cipher
# set up app
app = Flask(__name__, static_folder="static", static_url_path="")
SHIFT = 3
@app.route("/")
def homepage():
return render_template("home.html")
@app.route("/encrypt")
def encrypt():
message = request.args.get("message")
... | null | ClassExercise & studio/crypto_app/routes.py | routes.py | py | 538 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request... |
11109905 | import drawSvg as draw
import numpy as np
import random as rnd
import hashlib
import time
import webcolors
t = str(time.time())
s = t.encode()
hash_object = hashlib.sha256(s)
seed = hash_object.hexdigest()
print(seed)
rnd.seed(seed,version=2)
########### parameters#################################... | null | rectwave.py | rectwave.py | py | 2,583 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "webcolors.hex_to_rgb",
"line_... |
169589420 | # coding: utf-8
# author: benyuan liu
""" reproducible code for EIT2016 """
from __future__ import division, absolute_import, print_function
import numpy as np
import matplotlib.pyplot as plt
# import matplotlib
# matplotlib.rcParams.update({'font.size': 3})
import matplotlib.gridspec as gridspec
# pyEIT 2D algorithm... | null | demo/eit2016b.py | eit2016b.py | py | 3,042 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyeit.mesh.create",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyeit.mesh",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pyeit.mesh.set_alpha",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pyeit.mesh",
"l... |
639469548 | import json
import logging
import pytest
import requests
from models.error_response import *
from models.user_basic import *
from models.sign_in_body import *
from models.edit_profile_body import *
from constants import SUCCESS, BASE_URL, UNAUTHORIZED, BAD_REQUEST, HEADERS
logging.basicConfig(filename="patch_me.log"... | null | tests_api/test_patch_me.py | test_patch_me.py | py | 1,885 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "constants.BASE_UR... |
332450686 | """ This script will get all the jobs which are stuck in RUNNABLE state """
#!/usr/bin/env python
import sys
import boto3
from pprint import pprint
import datetime
import argparse
def get_all_jobqueues():
""" Get all the Job queues """
client = boto3.client('batch')
response = client.describe_job_queues()
queues ... | null | checkRunnableBatchJobs.py | checkRunnableBatchJobs.py | py | 1,753 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
5550011 | from typing import List, Optional, Sequence, cast
from llama_index.indices.query.schema import QueryBundle
from llama_index.indices.service_context import ServiceContext
from llama_index.llm_predictor.base import BaseLLMPredictor
from llama_index.output_parsers.base import StructuredOutput
from llama_index.types impor... | null | llama_index/question_gen/llm_generators.py | llm_generators.py | py | 2,987 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "llama_index.question_gen.types.BaseQuestionGenerator",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "llama_index.llm_predictor.base.BaseLLMPredictor",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "llama_index.prompts.base.Prompt",
"line_... |
76441532 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import io
import sys
from setuptools import setup
version = "1.6.0"
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist upload')
os.system('python setup.py bdist_wheel upload')
sys.exit()
if sys.argv[-1] == 'tag':
os.system("git tag... | null | setup.py | setup.py | py | 2,528 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 15,
... |
524760372 | import csv
import logging
from typing import List, Type
from xml.etree import ElementTree
from utils.data_helper import get_phrases_and_nodes, get_sentence_variables, get_document_id_variables
from utils.data_structures import UFDS
from utils.feature_extractors import PairSyntacticFeatureExtractor, BudiFeatureExtracto... | null | extract_mention_pair_features.py | extract_mention_pair_features.py | py | 4,461 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "csv.DictWriter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.training_instances_generator.TrainingInstancesGenerator",
"line_number": 24,
"usage_type": "name"
},
... |
185147491 | #program1216.py
import matplotlib.pyplot as plt
import numpy as np
mu=100 #设置起始值
sigma=20 #每个点的放大倍数
x=mu+sigma*np.random.randn(20) #为简单直观，样本量取20
plt.hist(x,bins=10,color='green',density=True)
print(x)
plt.show()
#plt.hist(x,bins=30,color='green',density=True)
| null | ch13a/ex1316.py | ex1316.py | py | 319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.randn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
413458436 | #coding=utf-8
"""
超市销售管理系统功能
1.欢迎用户使用超市销售管理系统，提示用户登录，如果是用户名为admin，密码为123456，则管理员身份。
如果是其他用户（可以自己设置也可随意接收），则是顾客身份。
2.如果用户是管理员身份，提示用户输入编号，选择对应功能
输入编号"1":显示商品的信息 （编号 商品名称 价格）
输入编号"2":添加商品信息 （输入编号，商品名称，价格）
输入编号"3":删除商品信息 （输入编号，删除对应的名称和价格）
输入编号"4":退出系统功能
3.如果用户是顾客身份，只有一个功能：购买商品，
展示所有商品信息，用户循环输入商品编号... | null | shop/Market.py | Market.py | py | 5,631 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "io.open",
"line_number": 34,
"usage_type": "call"
}
] |
216872703 | import argparse
from pathlib import Path
import numpy as np
from ts2vg import NaturalVG, HorizontalVG
from ts2vg.graph.base import _DIRECTED_OPTIONS, _WEIGHTED_OPTIONS
_OUTPUT_MODES = {
'el': 'edge list',
'ds': 'degree sequence',
'dd': 'degree distribution',
'dc': 'degree counts'
}
_GRAPH_TYPES = {
... | null | ts2vg/cli.py | cli.py | py | 3,723 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ts2vg.NaturalVG",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ts2vg.HorizontalVG",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "argparse.HelpFormatter",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "argpar... |
383966995 | from django.contrib.sessions.models import Session
from accounts.models import Profile
class OneSessionPerUserMiddleware(object):
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
response = self.get_response(request)
return response
def process_view(self, requ... | null | accounts/middleware.py | middleware.py | py | 800 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.sessions.models.Session.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.sessions.models.Session.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.sessions.models.Session"... |
305198871 | # Copyright: Ankitects Pty Ltd and contributors
# License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
"""
An example of how other TTS services can be added to Anki.
This add-on registers all voices with the name 'gTTS', meaning if the user
wishes to use it in preference to any other TTS drive... | null | code/gtts_player/__init__.py | __init__.py | py | 5,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
44874228 | import argparse
import sys
from . import exceptions
# NOTE: Originally I wanted the docstring for each module to be within their
# file. However, this means that composing the global helptext would require
# importing those modules, which will subsequently import PRAW and a whole lot
# of other things. This made TS v... | null | scripts/redditSearch/timesearch/__init__.py | __init__.py | py | 14,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 332,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 436,
"usage_type": "attribute"
}
] |
458534488 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import matplotlib.pyplot as plt
import numpy as np
from time import time
from dynamicgem.embedding.static_graph_embedding import StaticGraphEmbedding
fro... | null | dynamicgem/embedding/incrementalSVD.py | incrementalSVD.py | py | 8,079 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dynamicgem.embedding.static_graph_embedding.StaticGraphEmbedding",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dynamicgem.utils.timers_utils.incrementalSVD",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "dynamicgem.utils.timers_utils",
... |
24448567 | """
Main file for running
"""
import os
import numpy as np
import cv2
import argparse
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Expected a bool')... | null | run.py | run.py | py | 428 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
}
] |
409965154 | """Whitebox AutoML presets."""
import os
from copy import deepcopy
from typing import Optional, Sequence, Any, cast, Iterable
from log_calls import record_history
from .base import AutoMLPreset, upd_params
from ...dataset.np_pd_dataset import NumpyDataset
from ...ml_algo.whitebox import WbMLAlgo
from ...pipelines.ml... | null | lightautoml/automl/presets/whitebox_presets.py | whitebox_presets.py | py | 7,935 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.logging.get_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "base.AutoMLPres... |
70895987 | from datetime import datetime
from django.test import TestCase
from django.urls import reverse
from core.tests_utils import setup_current_user
from core.models import Entity, MatierePremiere, Biocarburant, Pays
from saf.models import SafTicketSource, SafTicket
class SafTicketDetailsTest(TestCase):
fixtures = [
... | null | web/saf/api/airline/tests/tests_ticket_details.py | tests_ticket_details.py | py | 5,838 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "core.models.Entity.objects.filter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "core.models.Entity.objects",
"line_number": 21,
"usage_type": "attribute"
},
{... |
55065415 | import matplotlib.pyplot as plt
from cartpole import CartPoleEnv
import os
import spinup.algos.vpg.core as core
from spinup import vpg
from spinup.utils.test_policy import load_policy, run_policy
from spinup.utils.run_utils import setup_logger_kwargs
from spinup.utils.plot import make_plots
from spinup.utils.mpi_tools ... | null | run_hybrid_controller_vpg.py | run_hybrid_controller_vpg.py | py | 4,985 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "mat... |
198877665 | import subprocess
from typing import AsyncGenerator, Generator
import pytest
from billing import settings
from billing.db.clauses import truncate
from billing.db.tables import tables
from billing.db.wrapper import Database
@pytest.fixture(scope="session", autouse=True)
def migrate_db() -> Generator[None, None, None... | null | tests/fixtures/db.py | db.py | py | 1,527 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.Generator",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "billing.db.wrapper.Database",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "billing.d... |
611454367 | # coding:utf-8
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import qtawesome
from time import sleep, ctime
import numpy as np
import sys
import cv2
from net import Classifier
from Camera.in_GUI_init_layout import Initor_for_event
class... | null | Camera/in_main_gui.py | in_main_gui.py | py | 2,560 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Camera.in_GUI_init_layout.Initor_for_event",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "net.Classifier",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 47,
"usage_type": "attribute"
},
{
"ap... |
207937721 | # -*- coding: utf-8 -*-
import os
import random
import re
import sys
import time
import platform
from urllib.parse import urlencode
from urllib.parse import urljoin
import requests
from information.config import *
from gtaasmysql import MySQL
from loggtaas import Log
from lxml import etree
from gtaasutils import getH... | null | information/pojie.py | pojie.py | py | 7,664 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
625752826 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 18 18:51:26 2019
@author: ibiyt
"""
import os
import pandas as pd
import numpy as np
import cv2
from multiprocessing import Pool
from functools import partial
np.random.seed(146)
dir_pref = 'animals10/raw-img'
classes = os.listdir(dir_pref)
class_labels = {x: classes.... | null | dataShifting.py | dataShifting.py | py | 3,026 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line... |
592475368 | import cv2
img=cv2.imread("../img/14.jpg")
#对原图做高亮处理
img=cv2.convertScaleAbs(img,alpha=6,beta=0)
#高斯模糊
img=cv2.GaussianBlur(img,(5,5),0)
ret,img=cv2.threshold(img,80,255,cv2.THRESH_BINARY)
kernel=cv2.getStructuringElement(cv2.MORPH_RECT,(5,5))
img=cv2.morphologyEx(img,cv2.MORPH_CLOSE,kernel,iterations=5)
... | null | Day004/python/opencv/医学CT关键点定位.py | 医学CT关键点定位.py | py | 434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.convertScaleAbs",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"lin... |
379683727 | import urllib, json
import datetime
from django.core.urlresolvers import reverse
from django.http import HttpResponse
from django.utils import timezone
from ..models import Event, Track, Movement, Vote
def events(request):
event_id_response = request.GET.get('id')
response_data = []
events = []
if ... | null | alpacastats/views/apis.py | apis.py | py | 12,664 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Event.objects.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Event.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.Event",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "model... |
597161248 | import json
import logging
from os import path
import pkg_resources
from uuid import uuid4
from requests import post
from contextlib import contextmanager
from logging.handlers import WatchedFileHandler
from manager_rest import config, server, premium_enabled
from manager_rest.storage import get_storage_manager, mode... | null | cfy_manager/components/usage_collector/scripts/script_utils.py | script_utils.py | py | 2,711 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.handler... |
290427250 | import sqlite3
conn = sqlite3.connect('Prof11.db')
c = conn.cursor()
class prof1():
def __init__(self):
pass
def __del__(self):
print('destructor')
def create_table(self):
c.execute("""CREATE TABLE IF NOT EXISTS question1_1 (Question, Val1, Val2, Val3, Val4)""")
c.execut... | null | Skipanalinu_leikur/Prof1.py | Prof1.py | py | 2,109 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 2,
"usage_type": "call"
}
] |
642332620 | from django.shortcuts import render, get_object_or_404, redirect
from core.models import Dog, Event
from core.forms import SearchForm, AdoptionApplicationForm
# Create your views here.
def index_view(request):
if request.GET:
form = SearchForm(request.GET)
dogs = form.search()
else:
f... | null | w5/examples/shelter-demo/core/views.py | views.py | py | 1,177 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.forms.SearchForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "core.forms.SearchForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "core.models.Dog.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
439493827 | import ssl
import http.client, urllib.request, urllib.parse, urllib.error, base64
from azure.Azure import Azure
class Video(Azure):
def __init__(self, api_key):
Azure.__init__(self, api_key)
ssl._create_default_https_context = ssl._create_unverified_context
self._connection()
def _... | null | azure/Video.py | Video.py | py | 6,979 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "azure.Azure.Azure",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "azure.Azure.Azure.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "azure.Azure.Azure",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ssl._crea... |
495979683 | import datetime
import logging
import os
import subprocess
import sys
from typing import List
import azure.batch.models as batch_models
import azure.storage.blob as blob
import yaml
from aztk.utils.command_builder import CommandBuilder
from core import config
# limit azure.storage logging
logging.getLogger("azure.st... | null | aztk/node_scripts/submit.py | submit.py | py | 7,146 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
186633612 | import torch
import time
import numpy as np
import pandas as pd
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
from utils.data_filter import *
from collections import Counter
from torch.nn.utils.rnn import pad_sequence
def my_collate(batch_data):
texts, aspects, texts2num, aspects2num, lab... | null | trainer/semeval_trainer.py | semeval_trainer.py | py | 6,595 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.Tensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn.utils.rnn.pad_sequence",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.ut... |
227724317 | """
PLOTTING LIVE DATA AND ANALYSIS
FOR USE WITH ARDUINO CODE "NEW3D" (OR SIMILAR)
|||||Contents List|||||
A. Initialization and Setup
1. Libraries
2. Constants
3. Variables
4. Functions
5. Options
6. Serial
7. Plot
8. Time
B. Data Collection and Analysis
1. Loop
2. Centroids... | null | test/livedata/testing/linear_regression_testing.py | linear_regression_testing.py | py | 13,253 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number... |
328830329 | import csv
import datetime
import os
from django.utils.timezone import make_aware
from django.db import transaction
from polestarapplication.models import ShipPositionDetails, ShipDetail
"""Import data class designed to group the import csv functionality
"""
class ImportService:
"""
Description:This method ... | null | polestarproject/ImportService.py | ImportService.py | py | 2,961 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
430045011 | ##############################################################
# #
# FileName : commons #
# Author : BoyLJS #
# Date : 2016-01-11 #
# Hi... | null | FileUtils/commons.py | commons.py | py | 2,014 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_n... |
531005739 | from time import time
import os
from lib.utils import Logger
logger = Logger()
def delete_images(in_path,out_path,max_allowed_time):
""" delete all faces not recognized if the stay in the directory
for max_allowed_time
"""
while True:
image_names,paths = [],[]
for img in os.listd... | null | Face-Track-Detect-Extract-master/clean_facedirs.py | clean_facedirs.py | py | 1,410 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lib.utils.Logger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
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