content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import datetime
import logging
import os
import signal
import time
from xmlrpc.client import ServerProxy
import pytricia
import redis
import ujson as json
from kombu import Connection
from kombu import Consumer
from kombu import Exchange
from kombu import Queue
from kombu import uuid
from kombu.mixins import ConsumerP... | [
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# Generated by Django 2.1.5 on 2020-01-04 14:05
from django.db import migrations, models
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print(2+3)
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# -*- coding: utf-8 -*-
import numpy as np
from arpym.statistics.multi_r2 import multi_r2
def objective_r2(s_k, s2_xz, n_, sigma2=None):
"""For details, see here.
Parameters
----------
s_k : array, shape(i_,)
s2_xz : array, shape(n_+k_, n_+k_)
n_ : int
sigma2 : array, sh... | [
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# -*- coding: utf-8 -*-
from .lib import *
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# Example server with Flask demonstrating use of Jira OAuth 2.0.
# Server needs to be deployed. Example code is requesting access token from
# Jira. User has to grant access rights. After authorization the
# token and Using access token, Jira cloud ID is identified and
# the available projects are returned.
from reque... | [
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# coding=utf-8
# Copyright 2021 Google LLC
#
# 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 applicable law or agreed t... | [
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#!/usr/bin/python
"""
A script that selects two random lines from Del Tha Funkee Homosapien's first album,
I Wish My Brother George Was Here, and posts them to the @mistadoblina Twitter account.
http://twitter.com/mistadobalina
Lyrics data provied by LyricWiki. Their API is documented here:
* http://lyricwiki.org/Ly... | [
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"""本模块定义插件对象。
FrontMatter:
sidebar_position: 3
description: nonebot.plugin.plugin 模块
"""
from types import ModuleType
from dataclasses import field, dataclass
from typing import TYPE_CHECKING, Any, Set, Dict, Type, Optional
from pydantic import BaseModel
from nonebot.matcher import Matcher
from .export impo... | [
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6... | 1.840878 | 729 |
import numpy as np
import pandas as pd
import os
from ogindia.constants import VAR_LABELS, ToGDP_LABELS, GROUP_LABELS
from ogindia.utils import save_return_table
cur_path = os.path.split(os.path.abspath(__file__))[0]
def macro_table(base_tpi, base_params, reform_tpi=None,
reform_params=None,
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import pandas as pd
"""
@author : Shrikanth N C (nc.shrikanth@gmail.com)
Sampling Policy that `Wins' on most measures.
"""
if __name__ == '__main__':
print("Generating")
run('TableIV', './output/table4/scratch_table4_')
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from whoahqa.views.auth import oauth_authorize, oauth_callback # noqa
from whoahqa.views.clinics import ClinicViews # noqa
from whoahqa.views.default_views import default # noqa
from whoahqa.views.default_views import set_locale # noqa
from whoahqa.views.request_methods import get_request_user, can_list_clinics # ... | [
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... | 3 | 342 |
#! /usr/bin/env python
"""Download and replicate the Win32+Win64 glut into our DLLs directory...
Visual Studio keeps eating my 64-bit configurations, so we'll use the binary distribution for now...
"""
import sys, os, subprocess, requests, logging, platform, shutil, glob
log = logging.getLogger( 'buildgle' )
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kHieroField_defaultProjectParent = "defaultProjectParent"
kHieroField_defaultShotParent = "defaultShotParent"
kHieroField_defaultClipParent = "defaultClipParent"
kHieroField_exportNukeScriptRef = "exportNukeScriptEntityRef"
kHieroExportRole_Comp = "comp"
kHieroExportScope_Project = "project"
kHieroExportScope_Sequen... | [
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"""Http."""
import time
from typing import Any, Callable, Dict, List, Text, Tuple
import aiohttp
from asyncio_requests.helpers.internal import header_filter_mapping
from asyncio_requests.helpers.internal import header_response_mapping
from asyncio_requests.helpers.internal.circuit_breaker_helper import \
CircuitB... | [
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#required encoding for scraping, otherwise defaults to unicode and screws things up
from bs4 import BeautifulSoup
import requests
import sys
import re
import pandas as pd
import pprint
import numpy as np
import csv, sys
import base64
import datefinder
import datetime
import pymongo
from pymongo import MongoClient
ur... | [
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"""
Copyright 2022 RICHARD TJÖRNHAMMAR
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 applicable law or agreed to in writing, sof... | [
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# -*- coding: utf-8 -*-
"""The Mac OS X application usage event formatter."""
from plaso.formatters import interface
from plaso.formatters import manager
class ApplicationUsageFormatter(interface.EventFormatter):
"""Formatter for a Mac OS X Application usage event."""
DATA_TYPE = u'macosx:application_usage'
... | [
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# -*- coding: utf-8 -*-
from builtins import object
import importlib
import itertools
import logging
import re
from collections import namedtuple, defaultdict
from babel.numbers import get_currency_symbol, get_currency_name
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
fr... | [
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"""
Methods for fitting background in energy dispersive xray spectra
Authors/Modifications:
----------------------
* Mark Rivers, GSECARS
* modified for Larch, M Newville
Notes:
------
This function fits a background to an MCA spectrum. The background is
fitted using an enhanced version of the algorithm published by
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from machine import Pin
import utime
morse_code={'.-': 'A', '-...': 'B', '-.-.': 'C', '-..': 'D', '.': 'E', '..-.': 'F', '--.': 'G', '....': 'H', '..': 'I', '.---': 'J', '-.-': 'K', '.-..': 'L', '--': 'M',
'-.': 'N', '---': 'O', '.--.': 'P', '--.-': 'Q', '.-.': 'R', '...': 'S', '-': 'T', '..-': 'U', '...... | [
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#
# PySNMP MIB module HH3C-EVI-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HH3C-EVI-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:26:52 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019,... | [
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from rasa_core.actions.action import ACTION_LISTEN_NAME
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#! /usr/bin/python
#################################################################################
# Copyright 2018 NTREX CO.
#
# 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:/... | [
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# -*- coding: utf-8 -*-
from pandas import DataFrame
from pandas import concat
from matplotlib import pyplot
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
import numpy
from sklearn.preprocessing import MinMaxScaler
from pandas import Series
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# testNewSimBulkStandard.py
# Date Who Comment
# ---------- --- -----------------------------------------------
# 2020-07-20 JRM Try to have a more complete simBulkStd
# that can be inserted in a script
#
import dtsa2 as dtsa2
import dtsa2.mcSimulate3 as mc3
import time
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from django.urls import path
from . import views
app_name = 'fundraising'
urlpatterns = [
path('', views.index, name='index'),
path('donation-session', views.configure_checkout_session, name='donation-session'),
path('thank-you/', views.thank_you, name='thank-you'),
path('manage-donations/<hero>/', vi... | [
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# ===============================================================================
# Copyright 2016 Jake Ross
#
# 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... | [
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... | 4.314286 | 315 |
from os import linesep
from pathlib import Path
from typing import Dict, Union
from pydux import create_store
from Utils.Debounce import debounce
from Utils.Singleton import Singleton
from Utils.Store.Actions.CredentialsStoreActions import CredentialsStoreActions
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6738,
12972,
646,
87,
1330,
2251,
62,
8095,
198,
198,
6738,
7273,
4487,
13,
16587,
8652,
1330,
1915,
8652,
198,
67... | 3.608108 | 74 |
from scraping_functions import man_woman, scraping, get_tag
http = man_woman()
resp = scraping(http)
lista = get_tag(resp)
| [
6738,
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62,
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62,
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11,
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11,
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62,
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582,
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8,
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651,
62,
12985,
7,
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8,
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628
] | 3.047619 | 42 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# PROGRAMMER: Rafael Mata M.
# DATE CREATED: 28 May 2020
# REVISED DATE: 31 May 2020
# PURPOSE: Train, validate and test a deep neural network to classify flower images
# using different pretrained CNN models, save the checkp... | [
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45332,
337,
13,
198,
2,
360,
6158,
29244,
11617,
25,
220,
25... | 2.19768 | 3,966 |
from setuptools import setup, find_packages
from pathlib import Path
## I'm just going to manually do this for now.
## I don't think there is an easy way to fix the bug with readme files.
description = """\
# SimpadLib v2.2
### Example Usages
```py
from simpadlib import simpad
sim = simpad.Controller() # Initialize ... | [
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314,
836,
470,
892,
612,
318,
281,
2562,
835,
284,
42... | 2.878613 | 519 |
# -*- coding: utf-8 -*-
from random import randrange
import numpy as np
from project.tiles import GrassTile, WaterTile, WoodTile
| [
2,
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11,
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35103,
11,
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628
] | 3.119048 | 42 |
#!/usr/bin/env python
import os
import socket
from twisted.internet import defer
from twisted.internet import reactor
from twisted.internet import error
from twisted.names import error
from twisted.names.common import extractRecord
# from twisted.names.client import getResolver
from common import getResolver # XXX: See... | [
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13,
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1330,
4049,
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6738,
19074,
13,
14933,
... | 3.849057 | 212 |
import hashlib
print(f"Answer part one: {find_number('ckczppom', 5)}")
print(f"Answer part two: {find_number('ckczppom', 6)}")
| [
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1,
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636,
734,
25,
1391,
19796,
62,
17618,
10786,
694,
26691... | 2.6 | 50 |
from .compare_test import CompareTest
from .id_setup_test import IDSetupTest
from .lookup_generator_test import LookupGeneratorTest
from .magnets_test import MagnetsTest
from .bfield_phase_error_test import BfieldPhaseErrorTest
from .mpi_runner_for_shim_opt_test import MpiRunnerForShimOptTest
from .mpi_runner_test impo... | [
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62,
9288,
1330,
6803,
929,
8645,
1352,
14402,
198,
6738,
764,
76,
4660,... | 3.233333 | 120 |
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv("data/car data.csv")
features = list(filter(lambda x: x!="Car_Name" ,list(df.columns)))
final_dataset = df[features]
final_dataset['No_Year'] = 2020 - df['Year']
final_dataset.drop(['Year'], axis=1, inplace=T... | [
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67,
13,
961,
62,
40664,
7203,
78... | 2.740602 | 798 |
# 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 applicable law or agreed to in writing, software
# d... | [
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351,
262,
13789,
13,
921,
743,
7330,
198,
2,
220,
220,
... | 3.461165 | 206 |
mapping = {
1:'GetDllVersion',
2:'DllGetVersion',
3:'Extract',
4:'DeleteExtractedFiles',
10:'FCICreate',
11:'FCIAddFile',
12:'FCIFlushFolder',
13:'FCIFlushCabinet',
14:'FCIDestroy',
20:'FDICreate',
21:'FDIIsCabinet',
22:'FDICopy',
23:'FDIDestroy',
24:'FDITruncateCabinet',
} | [
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32... | 2.192 | 125 |
from app.log import logger
from app.middlewares.base import Middleware
| [
6738,
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628
] | 3.789474 | 19 |
#!/usr/bin/env python
##############################################################
# _ __ ____ ___ _ __ __ __ ____ #
# | | | ( (` | |_ | |_) | | | ( (` / /\ / /`_ | |_ #
# \_\_/ _)_) |_|__ |_| \ \_\_/ _)_) /_/--\ \_\_/ |_|__ #
# Userusage Python by Will Dr... | [
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220,
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220,
220,
4808,
220,
220,
220,
220,
11593,
220,
220... | 2.103462 | 15,194 |
import pathlib
import click
import altendpy.processtemplates
@click.command()
@click.option(
'--root',
default='.', type=click.Path(file_okay=False),
help='Recursively search this directory for templates',
show_default = True,
)
@click.option(
'--suffix',
default='_template',
help='Exten... | [
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7,
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220,
220,
220,
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438,
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3256,
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220,
220,
220... | 2.599174 | 242 |
import mlflow.sklearn
import mlflow
import os
# using Thore's login since I know it still works!
MLFLOW_USERNAME = 'tbuergel'
MLFLOW_PASSWORD = 'tbuergel'
os.environ["MLFLOW_TRACKING_USERNAME"] = MLFLOW_USERNAME
os.environ["MLFLOW_TRACKING_PASSWORD"] = MLFLOW_PASSWORD
MLFLOW_VM_URL = 'http://10.138.0.58'
# Not curr... | [
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62,
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705,
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... | 2.482517 | 143 |
from blasteroids.lib.constants import SHIP_EXHAUST_ANIMATION_ID
from .orientable_game_object import OrientableGameObject
| [
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62,
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62,
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1330,
35275,
540,
8777,
10267,
628
] | 3.388889 | 36 |
from flask import jsonify, Markup, render_template
from app import app
import os
import re
initialised = False
musicFiles = None
mpeg_regex = re.compile(r"^.*\.mp3$")
jpeg_regex = re.compile(r"^.*\.jpe?g$")
png_regex = re.compile(r"^.*\.png$")
@app.route('/')
@app.route('/index/')
@app.route('/pla... | [
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6045,
198,
439... | 2.358852 | 209 |
# @Time : 2020/11/14
# @Author : Junyi Li, Gaole He
# @Email : lijunyi@ruc.edu.cn
# UPDATE:
# @Time : 2021/1/19
# @Author : Tianyi Tang
# @Email : steventang@ruc.edu.cn
"""
textbox.config.configurator
################################
"""
import re
import os
import sys
import yaml
import torch
from logging impo... | [
2,
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220,
220,
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31,
622,
66,
13,
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13,
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198,
198,
2,
3... | 2.436626 | 2,217 |
"""
## Description
[PIPEWIRE](https://pipewire.org/) provides a low-latency, graph based processing engine
on top of audio and video devices that can be used to
support the use cases currently handled by both pulseaudio
and JACK. PipeWire was designed with a powerful security model
that makes interacting with audio an... | [
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198,
261,
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286,
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290,
2008,
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460,
... | 2.617965 | 924 |
# This gives an interface to Windows Search, returning results similar to
# os.scandir.
import asyncio, time, os, stat
from adodbapi import ado_consts
from pathlib import Path
from pprint import pprint
# Get this from pywin32, not from adodbapi:
try:
import adodbapi
except ImportError as e:
adodbapi = None
... | [
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11,
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512,
375,
65,
15042,
1330,
50129,
62,
1102,
6448,
1... | 2.796909 | 906 |
#!/usr/bin/env python
from abc import ABC, abstractmethod
from collections.abc import Iterable
from functools import wraps
import colorsys
import copy
import sys
import ctypes
| [
2,
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11748,... | 3.744681 | 47 |
import re
import requests
| [
11748,
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7007,
198
] | 3.857143 | 7 |
from .ruscodes import _check_inn, _check_ogrn
from .commonrules import _validate_email, _validate_url
VALIDATION_RULEMAP = {
'ru.org.ogrn' : _check_ogrn,
'ru.org.inn' : _check_inn,
'common.email' : _validate_email,
'common.url' : _validate_url
} | [
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7... | 2.339286 | 112 |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import argparse
import collections
import datetime
import glob
import json
import os.path as osp
import numpy as np
import labelme
import pycocotools.mask
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--img_di... | [
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9,
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4818,
8079,
198,
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198,
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198,
11748,
28686,
... | 2.024127 | 1,575 |
import random
start= random.randint(-10000, 990)
stop = random.randint(1000,10000)
filename = "random_"
filepath="../data/" +filename
print("insert number of files to create:")
num_files=int(input())
print("insert size of the problem")
N_input=int(input())
for nF in range(num_files):
N = N_input + random.randi... | [
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796,
366,
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62,
1,
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6978,
2625,
40720,
7890,
30487... | 2.201592 | 377 |
"""
Main entry-point for vaultup.
Parses arguments from the CLI, and performs the action.
"""
if __name__ == '__main__':
import colorama
from vaultup import cli
colorama.init()
ns = cli.parser.parse_args()
action = cli.actions[ns.action]
action.exec(ns)
| [
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3672,
834,
6624,
705,
834,
12417,
834,
10354,
198,
220,
220,
220... | 2.660377 | 106 |
import os
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = "hide"
import sys
import pygame
import ctypes
################################################
# Initializing file system:
fs = open('disk.img', 'r+b') # Read and write (binary file)
################################################
# Error stub:
#################... | [
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198,
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29113,
... | 2.496265 | 937 |
"""@package deepac.predict
Predict pathogenic potentials and use them to filter sequences of interest.
"""
from deepac.preproc import read_fasta, tokenize
from multiprocessing import Pool
from functools import partial
import time
import tensorflow as tf
import numpy as np
from Bio.SeqIO.FastaIO import SimpleFastaParse... | [
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330,
13,
3866,
36942,
1330,
1100,
62,
7217,
64,
11,
11241,
1096,
19... | 1.677016 | 8,149 |
from tests.util import BaseTest
| [
6738,
5254,
13,
22602,
1330,
7308,
14402,
628
] | 4.125 | 8 |
import asyncio
import os
import shutil
import subprocess
import tempfile
import unittest
import repour.asgit
import repour.adjust.adjust
from test import util
loop = asyncio.get_event_loop()
| [
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20218,
7753,
198,
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555,
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395,
198,
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13,
292,
18300,
198,
11748,
1128,
454,
13,
23032,
13,
23032,
198,
6738,... | 3.327586 | 58 |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
# Copyright (c) Geoffrey Lentner 2016. All Rights Reserved.
# slipy/spectrum/core/__init__.py
"""core (functions) for Spectrum object.
"""
from .copy import _copy
from .from_array import _from_array
from .from_file import _from_file
from .init import _in... | [
2,
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739,
257,
513,
12,
565,
682,
347,
10305,
3918,
5964,
532,
766,
38559,
24290,
13,
81,
301,
198,
2,
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357,
66,
8,
42803,
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13,
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6923,
33876,
13,
198,
2,
13819,
88,
14,
4443,
6582,
14,
7295,
14,
... | 3.065789 | 152 |
from typing import Sequence
import numpy as np
import pandas as pd
import statsmodels.api as sm
from statsmodels.regression.rolling import RollingOLS
from mundi.pandas import Pandas
from .utils import diff, smooth, cases
from ..docs import docstring
from ..types import ValueStd
KT_METHODS = {}
K_METHODS = {}
METHODS... | [
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13,
2301,
2234,
13,
18886,
1330,
21567,
3535,
50,
198,
198,
... | 2.468702 | 1,965 |
#!/usr/bin/python3
"""sends a request to the URL and displays the value of the X-Request-Id"""
import requests
from sys import argv
if __name__ == "__main__":
req = requests.get(argv[1])
print(req.headers.get('X-Request-Id'))
| [
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361,
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... | 2.776471 | 85 |
#
# Copyright (c) 2015 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use... | [
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13,
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14,
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33,
14,
1416,
1192,
1098,
12,
25981,
15813,
14,... | 2.511903 | 6,007 |
#!/usr/bin/env python
# Python DBUS Test Server
# runs until the Quit() method is called via DBUS
from gi.repository import GLib
from pydbus import SessionBus
loop = GLib.MainLoop()
class MyDBUSService(object):
"""
<node>
<interface name='net.lew21.pydbus.ClientServerExample'>
<method na... | [
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198,
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308,
72,
13,
260,
1930,
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571,
198,
... | 2.288136 | 472 |
from GeneticAlgorithm import GeneticAlgorithm
import pandas as pd
import os
os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
| [
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62,
40347,
62,
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20520,
796,
705,
17821,
6,
628,
628,... | 2.883721 | 43 |
import unittest
import mock
from google.appengine.api import app_identity
import bq_utils
import tools.generate_ext_tables as gen_ext
import common
import resources
import constants.bq_utils as bq_consts
import constants.cdr_cleaner.clean_cdr as cdr_consts
| [
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378,
62,
2302,
62,
83,
2977,
355,
2429,
62,
2302,
... | 3.095238 | 84 |
'''
Given a string S of lowercase letters, a duplicate removal consists of choosing two adjacent and equal letters, and removing them.
We repeatedly make duplicate removals on S until we no longer can.
Return the final string after all such duplicate removals have been made. It is guaranteed the answer is unique.
Exa... | [
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11,
257,
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11,
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13,
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7830,
787,
23418,
816,
709,
874,
319,
311,
1566,
356,
645,
2392,
4... | 3.670588 | 170 |
from collections import defaultdict
import heapq
if __name__ == "__main__":
with open('15.txt') as f:
grid = [[int(i) for i in l.strip()] for l in f.readlines()]
costs = dict()
costs[(0, 0)] = 0
pqueue = [(0, (0, 0))]
while pqueue:
(cost, (x, y)) = heapq.heappop(pqueue)
... | [
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355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
... | 1.866071 | 448 |
import torch
from ws.RLAgents.D_PolicyGradientBased.misc import _fn_calculate_montecarlo_normalized_rewards
from ws.RLAgents.D_PolicyGradientBased.Buffer import Buffer
from .ActorCritic import ActorCritic
from .detail_mgt import detail_mgt
from .model_persistance_mgt import model_persistance_mgt
| [
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62,
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62,
260,
2017,
198,
6738,
266,
82,
13... | 3.05102 | 98 |
name = data.get('name', 'world')
logger.info("Hello {}".format(name))
hass.bus.fire(name, { "wow": "from a Python script!" })
| [
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7,
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11,
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366,
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366,
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257,
11361,... | 2.73913 | 46 |
from data_processing import *
from visual_vocabulary import *
if __name__ == '__main__':
folders = maybe_extract('data.tar.gz', 250)
size = 48
trim_images(folders, size, size, 2)
X, y = load_images(['trim_'+ folder for folder in folders], size, size) | [
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3... | 2.802198 | 91 |
# Space: O(n)
# Time: O(n)
| [
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2,
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] | 1.684211 | 19 |
if __name__ == "__main__":
print(Solution().findPeakElement([1,2,1,3,5,6,4]))
"""
A peak element is an element that is greater than its neighbors.
Given an input array nums, where nums[i] ≠ nums[i+1], find a peak element and return its index.
The array may contain multiple peaks... | [
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21,
11,
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628,
628,
198,
220,
220,... | 2.443182 | 352 |
import numpy as np
import time
from .QSPObj_sym import QSPObj_sym
from .QSPGrad_Sim import QSPGrad_sym
from .ChebyCoef2Func import ChebyCoef2Func
from .QSP_LBFGS import QSP_LBFGS
# --------------------------------------------------------------------------
# Given coefficients of a polynomial P, yield corresponding pha... | [
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... | 3.540845 | 355 |
import re
from datetime import datetime
from collections import OrderedDict
from openpyxl import Workbook
import pytest
from _pytest.mark.structures import Mark
_py_ext_re = re.compile(r"\.py$")
| [
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13... | 3.044776 | 67 |
# Generated by Django 3.0.3 on 2020-02-18 15:01
import datetime
from django.db import migrations, models
| [
2,
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15720,
602,
11,
4981,
628
] | 2.972222 | 36 |
import pandas as pd
from pdia.utils.countVisits import countVisits
def createUniqueRunID(df, var='onScreen', runId='onScreenRunID'):
"""Create a new column with countVisits()
:param df: data frame
:param var: name of the column from which we are creating the runs
:param runId: name of the column we ... | [
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7,
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11,
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261,
23901,
3256,
1057,
7390,
11639,
261,
23901... | 2.888889 | 189 |
landmarks_per_tooth = [1,2,3,5,6,7,8,9]
index =1
temp = landmarks_per_tooth[index]
print(landmarks_per_tooth[index][:, 1])
temp = center_to_origin(landmarks_per_tooth[index])
print(landmarks_per_tooth[index][:, 1]) | [
198,
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525,
62,
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58,
9630,
60,
198,
4798,
7,
1044,
14306,... | 2.311828 | 93 |
from providers.provider import Provider
from providers.mailgun import MailgunProvider
from providers.mandrill import MandrillProvider
| [
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628
] | 4.821429 | 28 |
""" Version information """
__version__ = "2.3.0"
__version_info__ = (2, 3, 0)
| [
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62,
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796,
357,
17,
11,
513,
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657,
8,
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] | 2.5 | 32 |
# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
from numpy import corrcoef, transpose, arange
from pylab import pcolor, show, colorbar, xticks, yticks, savefig
import sklearn.neighbors
from scipy import cluster
from sklearn import preprocessing
# Read the data and load it into memory
df = ... | [
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81,
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11,
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11,
61... | 2.777778 | 1,386 |
from flask import jsonify
from flask import request
from controllers import usuario | [
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] | 4.882353 | 17 |
from datetime import datetime
import random
from django.shortcuts import render, render_to_response, redirect, reverse
from django.core.paginator import Paginator
from django.db.models import F
from django.shortcuts import render
from django.views import View
from jedzonko.models import *
from django.contrib import me... | [
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13,
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13,
79,
363,
20900,
1330,
31525,
20900,
... | 3.336207 | 116 |
import yaml
from pprint import pprint
from netmiko import ConnectHandler
filename = "/home/thana/.netmiko.yml"
with open(filename) as f:
yaml_data = yaml.load(f)
device_info = yaml_data['cisco3']
net_connect = ConnectHandler(**device_info)
pprint(net_connect.find_prompt())
net_connect.disconnect() | [
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13,
88,
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1,
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7,
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8,
355,
... | 2.772727 | 110 |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
strategy = 5
filenames = ['mut5crossp3.csv','mut5crossp7.csv','mut7crossp3.csv', \
'mut7crossp7.csv','mut9crossp3.csv','mut9crossp7.csv']
for i in range(len(filenames)):
filenames[i] = 'strategy{}'.format(strategy) + filenames[i]
print(f... | [
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198,
198,
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268,
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37250,
21973,
20,
19692... | 2.186869 | 396 |
from django.core.exceptions import ValidationError
from django.forms.fields import Field
| [
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220,
220,
220,
220,
220,
220,
628,
220,
220,
220,
220
] | 2.888889 | 36 |
# coding: utf8
"""
Kriging Class
=============
Interpolation using Gaussian Process method.
:Example:
::
>> from batman.surrogate import Kriging
>> import numpy as np
>> sample = np.array([[2, 4], [3, 5], [6, 9]])
>> data = np.array([[12, 1], [10, 2], [9, 4]])
>> predictor = Kriging(sample, data... | [
2,
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25,
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25,
198,
198,
3712,
628,
220,
220,
220,
9609,
422,
7365,
805,
... | 2.173854 | 3,664 |
from kairos_face import settings, exceptions
| [
6738,
479,
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4951,
62,
2550,
1330,
6460,
11,
13269,
628,
198
] | 3.916667 | 12 |
import logging
import sys
from config import LOGGING_TO_CHAT
from meta import bot
from .logging import get_logger
| [
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198,
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764,
6404,
2667,
1330,
651,
62,
6404,
1362,
628,
198
] | 3.441176 | 34 |
import sys
import codecs
import os
import json
import re
from collections import OrderedDict
from xml.dom import minidom
import kindred
import bioc
from future.utils import native
# TODO: Deal with complex relations more clearly
def iterLoad(dataFormat,path,corpusSizeCutoff=500):
"""
Iteratively load sections o... | [
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1330,
949,
312,
296,
198,
198,
11748,
46449,
198,
198,
11748,
318... | 3.067974 | 1,530 |
import shutil
smile = open("SMILE_list.txt")
for line in smile:
line = line.strip()
try:
shutil.move("C:\\Users\\kirut\\Documents\\smile_rec\\lfwcrop_color\\faces\\"+line[:-3]+"ppm","C:\\Users\\kirut\\Documents\\smile_rec\\SMILE_list\\"+line[:-3]+"ppm")
except :
None
non_smile = open... | [
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198,
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796,
1627,
13,
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201,
198,
220,
220,
220,
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25,
... | 2.069536 | 302 |
import torch
import torch.nn as nn
import torch.optim as optim
from torchvision.utils import save_image
from utils import save_args, add_args, Status
from nnutils import get_device
from nnutils.loss import gradient_penalty, NonSaturatingLoss
from tqdm import tqdm
from .model import Generator, Discriminator
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1... | 3.380435 | 92 |
import tinder
import time
q = tinder.queue.RabbitProducer("test_q")
i = 0
while True:
i += 1
print(i)
q.send("random " + str(i))
time.sleep(3)
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22... | 2.175676 | 74 |
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
import numpy as np
from sklearn.model_selection import train_test_split
import plot
def loadDataset(symbol):
'''Loads Dataset of the passed symbol from the datasets folder.'''
df = pd.read_csv('datasets/'+symbol+'.csv', parse_dates=['Date'])
... | [
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711... | 2.649302 | 1,075 |
import pytest
from openbb_terminal.cryptocurrency.due_diligence import cryptopanic_view
@pytest.fixture(scope="module")
@pytest.mark.vcr
@pytest.mark.record_stdout
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19... | 2.68254 | 63 |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2014 Alexander Shorin
# All rights reserved.
#
# This software is licensed as described in the file LICENSE, which
# you should have received as part of this distribution.
#
import asyncio
import base64
from .client import Resource, HttpStreamResponse
from io import RawIOBase
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2... | 2.208767 | 4,129 |
"""Volumetric affine transformations implemented in TensorFlow."""
import tensorflow as tf
def warp_features_labels(features, labels, matrix, scalar_label=False):
"""Warp features and labels tensors according to affine matrix.
Trilinear interpolation is used for features, and nearest neighbor
interpolat... | [
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7,
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62,... | 2.224021 | 4,571 |
from pymongo import MongoClient | [
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279,
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25162,
1330,
42591,
11792
] | 4.428571 | 7 |
import numpy as np
import torch
from losses import mae_loss, mae_globalmean
from utils.oct_utils import get_mask_rnfl
from utils.utils import select_modalities, subsample
GPU = 0
device = torch.device('cuda:' + str(GPU) if torch.cuda.is_available() else 'cpu')
one_ = torch.tensor(1.0).to(device)
zero_ = torch.tensor... | [
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... | 2.230838 | 5,558 |
from test import get_user_session, cassette
from test.resources.documents import delete_all_documents, create_document, assert_core_document, assert_bib_document, \
assert_client_document, assert_tags_document, assert_all_document
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3... | 3.492754 | 69 |
from step_project.base_commands import ProjectCommand
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] | 4.230769 | 13 |