content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from blockworld_walkway import BlockworldWalkway
from bigworld import BlockworldBigworld
# from blockworld_env.envs.walkway import BlockworldWalkwayEnv
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... | 3.642857 | 42 |
import rpy2.robjects as ro
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
from rpy2.robjects.conversion import localconverter | [
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"""
Server
"""
import asyncio
import logging
import os
from typing import Optional
from hypercorn.asyncio import serve
from hypercorn.config import Config
import uvicorn
from sysmon.app import make_application
LOGGER = logging.getLogger(__name__)
def initialise_logging() -> None:
"""Initialise logging"""
... | [
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# Copyright 2016 EMC Corporation
# 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 ... | [
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... | 2.285641 | 1,943 |
# encoding: utf8
from django.http.response import JsonResponse
from .throttling import AnonRateThrottle
from .settings import THROTTLE_TRIGGER_RESPONSE
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54... | 3.1 | 50 |
from django.contrib import admin
from .models import User
# Register your models here.
@admin.register(User)
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dictionary = dict()
| [
67,
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] | 3.5 | 6 |
### migrates data from titanic.csv to postgresql
# load titanic data
import pandas as pd
url = 'https://raw.githubusercontent.com/jonDuke/DS-Unit-3-Sprint-2-SQL-and-Databases/master/module2-sql-for-analysis/titanic.csv'
df = pd.read_csv(url)
# df.columns = ['Survived', 'Pclass', 'Name', 'Sex', 'Age',
# ... | [
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13... | 2.456231 | 971 |
import os
from typing import List
def filtered_search_list(search: str, keys) -> List[str]:
"""
Filters the search list by a search string
:param search: the string prefix
:param keys: the list of strings to search
:return: filtered list
"""
return list(filter(lambda x: (search.lower()) i... | [
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# -*- coding: utf-8 -*-
"""
Numerical Methods, lab 2
"""
import sympy as sy
from sympy import Rational as syR
from sympy import exp, sin, cos, sqrt, log, ln
from sympy import pi, cot, sinh, cosh, atan, tan
# Это был Task_db
Tasks_db = {
'Task1':
[
# 2.1.1
{'f': lambda x: sin(x)**2 - syR(5, 6)*sin(x)... | [
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8... | 1.511923 | 4,026 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np;
a = np.array([3.0, 3.0, 2.0, 4.9, 100.2, -8.9]);
# 数值微分求标准差梯度
grad = gradient();
print(grad);
n1 = func2(0);
n2 = func2(1);
n3 = func2(2);
n4 = func2(3);
n5 = func2(4);
n6 = func2(5);
b = [n1, n2, n3, n4, n5, n6];
print(b);
| [
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15... | 1.609626 | 187 |
import argparse
import json
import numpy as np
from utils.file_utils import read_jsonl_lines, read_lines
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Script to compute corpus satistics')
# Required Parameters
parser.add_argument('--input_file', type=str, help='L... | [
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from django.db import models
from api.user.models import CustomUser
from api.product.models import Product
# Create your models here.
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] | 3.885714 | 35 |
from bilibili import bilibili
from login import login
import time
import datetime
import asyncio
from printer import Printer
# 因为休眠时间差不多,所以放到这里,此为实验性功能
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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | [
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... | 3.773973 | 292 |
# coding=utf-8
"""
文件处理读取写入
"""
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import logging
import os
import shutil
from contextlib import contextmanager
import functools
import pandas as pd
from .ABuDTUtil import warnings_filter
# noinspection PyUn... | [
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# -*- coding: utf-8 -*-
from django.contrib import admin
from extra_settings.forms import SettingForm
from extra_settings.models import Setting
admin.site.register(Setting, SettingAdmin)
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import sqlite3
import re
import scrapy
from scrapy import Request
# 这个类在最终整合后不再使用
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"""A global object for debug rendering into images without around."""
import cv2
# -----------------------------------------------------------------------------
# Copyright (C) 2018 Angelos Evripiotis.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complian... | [
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# This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.12
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
_ephemeris_... | [
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180... | 2.882448 | 1,242 |
"""
Do not import this file.
NOTE: THIS RUNS ON PYTHON 3.10
"""
# exit codes:
# 0: success
# 1: indeterminate error
# 2: module not resolvable
# 3: attribute does not exist
# 4: invalid characters, not a valid object path
# 5: dynamically created object
# 6: is a builtin object, prints module name
# 7: invalid metad... | [
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... | 2.182197 | 2,640 |
from .base import *
DEBUG = True
ALLOWED_HOSTS = ['*']
THIRD_PARTY_APPS += ('debug_toolbar',)
# Database
# https://docs.djangoproject.com/en/2.0/ref/settings/#databases
MIDDLEWARE.insert(3, 'debug_toolbar.middleware.DebugToolbarMiddleware')
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqli... | [
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8,
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... | 2.19209 | 177 |
import sortingview as sv
import spikeextractors as se
recording, sorting = se.example_datasets.toy_example(K=11, duration=60, seed=6)
R = sv.LabboxEphysRecordingExtractor.from_memory(recording, serialize=True, serialize_dtype='float32')
S = sv.LabboxEphysSortingExtractor.from_memory(sorting, serialize=True)
W = sv.c... | [
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21... | 2.699681 | 313 |
import binascii
import os
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
__all__ = [
'MultiToken',
]
# Prior to Django 1.5, the AUTH_USER_MODEL setting does not exist.
# Note that we don't perform this code in the compat module due to
# bug r... | [
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... | 2.386513 | 608 |
import argparse
import glob
import itertools
import multiprocessing as mp
import os
from functools import partial
from subprocess import run
import numpy as np
import pandas as pd
from qpputils import dataparser as dp
from Timer import Timer
from crossval import InterTopicCrossValidation
from query_features import fe... | [
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32152,... | 2.235961 | 5,734 |
from setuptools import setup
import os
import sys
SRC_ROOT, _ = os.path.split(__file__)
PROJECT_ROOT = os.path.dirname(SRC_ROOT)
REVISION = '0.0.1'
PROJECT_NAME = 'neowrapper'
PROJECT_AUTHORS = "Salim Fadhley"
# Please see readme.rst for a complete list of contributors
PROJECT_EMAILS = 'salimfadhley@gmail.com'
PROJEC... | [
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6978,... | 2.243537 | 735 |
from upguard import UpGuardObject
| [
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198
] | 4.25 | 8 |
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Optional
import jwt
from .exceptions import InvalidPastaportoError
from .tokens import decode_pastaporto
@dataclass
@dataclass
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1069... | 3.394737 | 76 |
from re import error
from django.db import models
from ..login.models import User
# Create your models here. | [
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] | 4 | 27 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-07-03 07:24
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.73913 | 69 |
RESOURCE_NOT_FOUND_EXCEPTION = "ResourceNotFoundException"
| [
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from osim.env import L2M2019CtrlEnv
from osim.control.osim_loco_reflex_song2019 import OsimReflexCtrl
import sys
import numpy as np
trial_name = 'trial_190501_L2M2019CtrlEnv_2D_'
params = np.ones(37)
#params = np.loadtxt('./data/cma/trial_181029_walk_3D_noStand_8_best.txt')
if __name__ == '__main__':
prob = CMA... | [
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... | 2.269737 | 304 |
self.description = "check file type without mtree"
self.filesystem = [ "bar/", "foo -> bar/" ]
pkg = pmpkg("dummy")
pkg.files = [ "foo/" ]
self.addpkg2db("local",pkg)
self.args = "-Qk"
self.addrule("PACMAN_RETCODE=1")
self.addrule("PACMAN_OUTPUT=warning.*(File type mismatch)")
| [
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... | 2.540541 | 111 |
import math
import torch
from torch import nn
from ..utils.helpers import wrap_class, null_context
from .operations import t, relative_error
from ..tensor_network import SingleTensor
class MF(nn.Module):
"""Base module for matrix factorization.
X ≈ U t(V),
U, V ∈ S
"""
class TF(nn.Module):
""... | [
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"""Logger
"""
import logging
import logging.config
logging.config.fileConfig("logging.ini")
| [
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] | 3.2 | 30 |
# Copyright (c) 2016-2017 Anki, Inc.
#
# 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 in the file LICENSE.txt or at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | [
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2,
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743,
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2... | 2.487258 | 6,553 |
import argparse
import json
import random
import numpy as np
import os
import torch.cuda
from datetime import datetime
import src.utils.interface_file_io as file_io
| [
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... | 3.44898 | 49 |
import sys
import argparse
import pathlib
import yaml
import subprocess
import re
COAST_dir = pathlib.Path(__file__).resolve().parent.parent
tests_dir = COAST_dir / "tests"
# Compile the benchmark for x86 using provided opt_passes
# Run the x86 compiled benchmark (must call compile first)
if __name__ == "_... | [
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8000... | 3.1 | 110 |
#
# Copyright 2014 Grupo de Sistemas Inteligentes (GSI) DIT, UPM
#
# 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
#
# Unles... | [
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35... | 3.038462 | 338 |
import os
import glob
from setuptools import find_packages, setup
about = {}
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(os.path.dirname(__file__), "README.md")).read()
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
extra_files = package_files("recip... | [
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... | 2.633833 | 467 |
#
# (C) 2014-2017 Seiji Matsuoka
# Licensed under the MIT License (MIT)
# http://opensource.org/licenses/MIT
#
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import rdFMCS
from rdkit import DataStructs
from chorus.model.graphmol import Compound
from chorus.model.atom import Atom, atom_number
fr... | [
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1... | 2.19799 | 995 |
from django.core.management.base import BaseCommand
from fjord.feedback.models import purge_data
| [
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] | 3.535714 | 28 |
import numpy as np
from config.draco3_config import WalkingState
from pnc.state_machine import StateMachine
from pnc.planner.locomotion.dcm_planner.footstep import Footstep
from pnc.draco3_pnc.draco3_state_provider import Draco3StateProvider
| [
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6... | 3.128205 | 78 |
from math import ceil, floor, sqrt
from pathlib import Path
from random import randint
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
| [
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# %%
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.python.keras.layers.core import Dropout
#%%
model = tf.keras.models.Sequential([
tf.keras.Input(shape=(2,)),
tf.keras.layers.Dense(80, activation='sigmoid'),
tf.keras.layers.Dense(2)
])
# %%
# x_train=t... | [
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7... | 1.873696 | 863 |
import random
import stillleben as sl
import sl_cutscenes.constants as CONSTANTS
def get_lightmap(map_name="random"):
"""
Fetches the right lightmap given command line argument.
"""
assert map_name in ["default", "random"] + list(CONSTANTS.ALL_LIGHTMAPS.keys()), f"Unknown lightmap {map_name}..."
... | [
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3... | 2.572727 | 220 |
from .llvm_type import (
char_pointer,
i8,
i32,
i64,
)
from .objc import (
objc_ivar,
objc_ivar_list,
)
__all__ = [
'char_pointer',
'i8',
'i32',
'i64',
'objc_ivar',
'objc_ivar_list',
]
| [
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8,
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6... | 1.710145 | 138 |
import datetime
import json
import pprint
from django.test import TestCase
from scraper import scraper
pp = pprint.PrettyPrinter(indent=4)
| [
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2... | 3.130435 | 46 |
import logging
from sith_score_handler import SithScoreHandler
from raidtickets_lifetime_handler import RaidticketsLifetimeHandler
from guildtickets_lifetime_handler import GuildticketsLifetimeHandler
from territory_battle_total_score_handler import TerritoryBattleTotalScoreHandler
from territory_battle_total_combat_wa... | [
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... | 4.030303 | 132 |
'''
@author: Dallas Fraser
@id: 20652186
@class: CS686
@date: 2016-02-13
@note: contains a player using a repeat (Pavlov) strategy
'''
from DallasPlayers.player import COOPERATE, Player, DEFECT
import unittest
class RepeatOutcomePlayer(Player):
"""
Repeat Outcome Player - repeat last choice if good outcome
... | [
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27086,... | 3.114286 | 105 |
from adain.cfg.config import Config
__all__ = ['Config']
| [
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] | 2.772727 | 22 |
# -*- coding: utf-8 -*-
# Copyright 2020 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 o... | [
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4... | 2.296251 | 12,989 |
# Copyright 2016 RedHat, Inc.
#
# 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... | [
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428,
2393,
2845,
287,
11846,
351,
262,
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13,
921,
743... | 2.442004 | 1,138 |
from functions_framework._cli import _cli
_cli(prog_name="python -m functions_framework")
| [
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# Generated by Django 2.2 on 2019-06-03 10:27
from django.db import migrations, models
| [
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] | 2.966667 | 30 |
import threading
from .interface import show_message
import time
def stop_queue():
" Stop all tasks. "
for thread in threading.enumerate():
if isinstance(thread, Task):
thread.stop()
show_message('%s stopped.' % thread.title)
def add_task(target, callback=None, buffer=None, ... | [
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268,... | 2.395664 | 369 |
"""
基于内存进行去重，非持久
"""
from base import BaseFilter
| [
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7308,
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628,
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198
] | 1.292683 | 41 |
from .cli import create, execute
from .benefactor_permissions_report import BenefactorPermissionsReport
from .benefactor_view import BenefactorView
| [
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] | 4.228571 | 35 |
"""
In here we create a discrete state space representation
which can be used in learning algorithms such as Q-Learning.
The state space is intended to represent a single transaction sufficiently,
meaning it should include all relevant information that an agent could use
when making a decision; and it should not includ... | [
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284,
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340,
815,
... | 3.684932 | 219 |
from system.forms import Forms
from system.logger import *
from dialogs.select_dialog import *
@class_wrapper
@class_wrapper
class NewPurchaseForm(_edit_purch_form):
'''
'''
@class_wrapper
class EditPurchaseForm(_edit_purch_form):
'''
'''
| [
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... | 2.755319 | 94 |
from time import process_time, sleep
from PyQt5.QtCore import pyqtRemoveInputHook
from exec import pomodoro as pomodoro
import gui3
import gui31
from threading import Thread
import os
import psutil
import sys
if __name__ == "__main__":
#print("buscu")
worker1()
#worker2()
t2 =Thread(target ... | [
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1330,
279,
296,
375,
16522,
355,
279,
296,
375,
16522,
201,
198,
11748,... | 2.214286 | 252 |
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
data = {
1: 'One',
2: 'Two',
3: 'Three',
4: 'Four'
}
layout = html.Div([
html.H1('Hello World!'),
dcc.Slider(id='demo-slider', min=1, max=4, value=1),
htm... | [
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#!/usr/bin/env python
import json
import os
from watson_developer_cloud import PersonalityInsightsV3
def insights(user_text):
""" Analyze text using IBM Personality Insights.
``pip install --upgrade watson-developer-cloud``
This code is based on the `IBM Watson Python SDK`_ docs.
Environment variables mus... | [
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from microbit import *
sleep(10000)
display.scroll(str(button_a.get_presses())) | [
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] | 2.925926 | 27 |
VERSION = "0.2.2-SNAPSHOT"
| [
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] | 1.75 | 16 |
__author__ = 'sibirrer'
from astrofunc.LensingProfiles.spp import SPP
from astrofunc.LensingProfiles.spemd_smooth import SPEMD_SMOOTH
class SPEMD(object):
"""
class for smooth power law ellipse mass density profile
"""
def mass_3d_lens(self, r, theta_E, gamma, q, phi_G):
"""
computes... | [
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522... | 2.142157 | 408 |
import gspread
import gspread.utils
| [
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] | 3.454545 | 11 |
from __future__ import unicode_literals # Python 2/3 compatibility #
from __future__ import print_function # Python 2/3 compatibility #
import sys
import argparse
import modelio
from parser import TokenParser
from trainer import MarkovTrainer
from generator import MarkovGenerator
parser = argparse.ArgumentParser(d... | [
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... | 2.764706 | 952 |
import qsharp
from BB84 import Start
import onetimepad
success, aliceKey, BobKey = Start.simulate()
binaryKeyAlice = ""
binaryKeyBob = ""
for each in aliceKey:
if each is True:
binaryKeyAlice = binaryKeyAlice + "1"
else:
binaryKeyAlice = binaryKeyAlice + "0"
for each in BobKey:
if each is... | [
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18... | 2.69697 | 231 |
from django.contrib.auth import get_user_model
import factory
DEFAULT_USER_PASSWORD = 'password'
| [
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] | 3.060606 | 33 |
"""Exceptions related to PopNet.
"""
class PopNetError(Exception):
"""Generic class for exceptions related to PopNet."""
pass
class FormatError(PopNetError):
"""Exceptions related to formatting errors in files handled by PopNet."""
pass
class PopNetWarning(Warning):
"""Generic c... | [
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19... | 3.049587 | 121 |
# Generated by Django 3.2.7 on 2021-11-15 17:12
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.818182 | 44 |
# Copyright (c) 2021, Mahmood Sharif, Keane Lucas, Michael K. Reiter, Lujo Bauer, and Saurabh Shintre
# This file is code used in Malware Makeover
"""
Code to develop/test code-displacement transformations.
"""
import random
import time
random.seed(time.time())
import sys
sys.path.append('orp')
import peLib
import ... | [
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198... | 2.067138 | 566 |
#!/usr/bin/env python3.8
# Copyright 2021 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Suggests OWNERS for projects in a jiri manifest without owners.
For each project in a given jiri manifest file, do the following:... | [
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416,
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460,
... | 3.160131 | 306 |
import json
with open("Data/sarcasm.json", 'r') as f:
datastore = json.load(f)
sentences = []
labels = []
urls = []
for item in datastore:
sentences.append(item['headline'])
labels.append(item['is_sarcastic'])
urls.append(item['article_link'])
from tensorflow.keras.preprocessing.text im... | [
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7,
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8,
201,
198,
201,
198,
34086,
3007,... | 2.486395 | 294 |
from __future__ import absolute_import, print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from code.models.backbone.ResNet_Dilated import _ConvBnReLU
from collections import OrderedDict | [
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13... | 3.421875 | 64 |
import os
import glob
from .env import IS_WINDOWS, IS_CONDA, CONDA_DIR, check_negative_env_flag, gather_paths, lib_paths_from_base
from .cuda import USE_CUDA, CUDA_HOME
USE_CUDNN = False
CUDNN_LIB_DIR = None
CUDNN_INCLUDE_DIR = None
CUDNN_LIBRARY = None
WITH_STATIC_CUDNN = os.getenv("USE_STATIC_CUDNN")
if USE_CUDA ... | [
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82,
11,
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62,
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82,
62,... | 1.924209 | 1,834 |
#
# NOTE: This is the settings file for the server at https://testing.onepercentclub.com
# This is not for running tests!
#
try:
from .secrets import *
except ImportError:
import sys
sys.exit('secrets.py settings file not found. Please run `prepare.sh` to create one.')
from .server import *
#
# Put... | [
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2,
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... | 2.757202 | 243 |
from unittest import TestCase, mock
from click.testing import CliRunner
from kfk.commands.configs import kfk
from kfk.kubectl_command_builder import Kubectl
from kfk.constants import *
from kfk.messages import *
| [
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21... | 2.958333 | 72 |
'''Create a conftest.py
Define the fixture functions in this file to make them accessible across multiple test files.
'''
from pathlib import Path
import pytest
from tempfile import mkdtemp
from beetools import rm_tree
# from github import Github, GithubException as gh_exc
_DESC = __doc__.split('\n')[0]
... | [
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... | 2.339672 | 3,471 |
from pipelining.pipe_root import ConfigRoot
from etl import maxqdata_manager, gold_data_transform_rules
from pipelining import data_flow_registry
from IPython import embed
import main
| [
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... | 3.596154 | 52 |
useless_array = [' ','\n','\t','%'] | [
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705,
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77,
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4,
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] | 2.117647 | 17 |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
| [
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2,
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220,
220
] | 3.322581 | 31 |
from luna.dataset.luna_dataset import LunaDataset
from luna.dataset.exceptions import LunaDatasetNotSupportedException, LunaInvalidConfigException
class LunaAzureMLFileDataset(LunaFileDataset):
"""
Download file(s) from Azure ML file dataset.
Only supported when running in an Azure ML workspace.
"""
... | [
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169... | 2.713178 | 258 |
#!/usr/bin/python
# Copyright 2019 Northern.tech AS
#
# 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 ap... | [
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198,
2,
220,
220,
220,
345,
743... | 3.257642 | 229 |
# -*- coding: utf-8 -*-
"""Test cascade."""
from compath.constants import EQUIVALENT_TO
from compath.models import User
from tests.constants import DatabaseMixin, KEGG, REACTOME
class TestCascades(DatabaseMixin):
"""Test that votes are cascaded properly."""
def setUp(self):
"""Create fakes emails.... | [
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19... | 2.108326 | 1,117 |
import random
import pokeconfig
import pokemon_new
import pokelist
import pokeutils
import pokemoves
import movelist
from telegram.ext import CommandHandler, CallbackQueryHandler
from telegram import InputMediaPhoto
from datetime import datetime
typeTrans = {
'Grass': '🌱',
'Fire': '🔥',
'Water': '💧',
... | [
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... | 2.093645 | 299 |
"""
This settings file is an example of what you need to do to use the channels backend.
"""
from .base import *
INSTALLED_APPS += ['channels']
TASK_RUNNER_BACKEND = 'fabric_bolt.task_runners.channels.ChannelsBackend'
| [
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7036,
1961,
62,
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3705,
15853,
37250,
354,
8961,
20520... | 2.986486 | 74 |
from . import util
| [
6738,
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1330,
7736,
628,
628
] | 3.666667 | 6 |
# -*- coding: utf-8 -*-
import random
from dataclasses import dataclass
from aiohttp import web
from mtpylon import Schema
@dataclass
schema = Schema(constructors=[Reply], functions=[echo])
| [
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2611,
628,
... | 2.940299 | 67 |
# ==================================================================================
# Copyright (c) 2019 Nokia
# Copyright (c) 2018-2019 AT&T Intellectual Property.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# ... | [
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4996... | 3.827957 | 372 |
import tensorflow as tf
import numpy as np
import argparse
import os
import random
import string
import pickle as pkl
import glob
import design_bench as db
from datetime import datetime
if __name__ == "__main__":
baseline_to_iteration = {
"autofocused-cbas": 20,
"cbas": 20,
... | [
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11... | 1.923412 | 1,606 |
import gi
gi.require_version('Handy', '0.0')
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Handy, Gio, GObject
Handy.init()
# Create Window
window = Gtk.Window(title="LibHandy List example")
window.set_border_width(10)
# Create a Button
#
button = Gtk.Button.new_from_icon_name('batter... | [
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import unittest
from tgl.utils import delete_user_data
from tests.utils import setup_credentials, run_command, tgl_stop
if __name__ == "__main__":
unittest.main()
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import unittest
from utils import *
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from ..utils import Object
class SetAlarm(Object):
"""
Succeeds after a specified amount of time has passed. Can be called before authorization. Can be called before initialization
Attributes:
ID (:obj:`str`): ``SetAlarm``
Args:
seconds (:obj:`float`):
Number of second... | [
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import dateutil.utils
from alice_blue import *
import conf
import logging
from datetime import datetime
import statistics
from time import sleep
logging.basicConfig(level=logging.DEBUG)
ltp = 0
EMA_CROSS_SCRIP = 'INFY'
NIFTY_BANK_IDX = ''
lots = 1
sl_percentage = 0.25 # exit if it goes more than 25% on either size of ... | [
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from src.server.token import devFlag
import unittest
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import os
from dotenv import load_dotenv as ld
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from setuptools import setup, find_packages
setup(name='sproutnet',
version='0.3.0',
author='Sharpkoi',
author_email='sharpkoi1222@gmail.com',
license='LICENSE',
description='neural network for learning and education.',
packages=find_packages())
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