content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import numpy as np
import torch.nn as nn
from torch.nn.modules.loss import _Loss
from torch.optim.optimizer import Optimizer
import torch.optim as optim
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"""Compute correlation between access history and next prefetch,
using load traces.
Need to run from above corr/ directory. If you still get an error,
try export PYTHONPATH=.
"""
import argparse
import time
from utils.load import get_open_function
from utils.load_trace import get_instructions
from utils.logging impor... | [
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... | 2.709817 | 927 |
import argparse
import os
from typing import Iterable, Tuple, List, Optional
from .module_definition import Module, Method, ParameterDocumentation
from .module_definition.exceptions import MockGeneratorError
from .util import CodeBuilder, TemplateFormatter, read_lines
if __name__ == '__main__':
main()
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"""
Copyright 2017-present, Airbnb 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, sof... | [
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"""
Implements the global range check used in the EN quality control
system.
"""
def test(p, parameters):
"""
Runs the quality control check on profile p and returns a numpy array
of quality control decisions with False where the data value has
passed the check and True where it failed.
"""
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44743... | 3.025381 | 197 |
import logging
import threading
import time
module_logger = logging.getLogger(__name__)
__all__ = ["iterativeRun", "Pause", "PausableThread", "PausableThreadCallback"]
def iterativeRun(run_fn):
"""
A decorator for running functions repeatedly inside a PausableThread.
Allows one to pause and stop the thre... | [
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... | 2.32872 | 2,023 |
#!/bin/env python3
"""
If gene name is simply totally missing, use the gene ID for the gene name.
(Don't confuse this with the case in which there is actualy a gene name
embeded in the gene id, for which you would want to use the utility
'extract_name_embedded_in_gene_id.py'.)
"""
import argparse
import gtfez
# co... | [
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... | 3.151515 | 132 |
from model.Control import Control
from model.Sensor import Sensor
from apscheduler.schedulers.background import BackgroundScheduler
# The "apscheduler." prefix is hard coded
scheduler = BackgroundScheduler({
'apscheduler.executors.default': {
'class': 'apscheduler.executors.pool:ThreadPoolExecutor',
... | [
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... | 2.1344 | 625 |
import sys
import os
size = os.get_terminal_size()
rows, cols = size.lines, size.columns
data_to_add = b'Hello, world!'
data = bytes((rows * cols) * b' ')
data = data_to_add + data[len(data_to_add) : ]
for row in range(rows):
start = row * cols
end = start + cols
write(str(data[start : end], 'utf-8'))
write('\n... | [
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1... | 2.41791 | 134 |
from __future__ import unicode_literals
from builtins import super
import numpy as np
from django.db import models
from django.urls import reverse
from django.utils.text import slugify
# what this moddule does is displaying the price median price, minunum and maximum price and displaying the companies that offer the... | [
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957... | 3.659836 | 244 |
from __future__ import print_function
from os import path
from blazeweb.config import DefaultSettings
basedir = path.dirname(path.dirname(__file__))
app_package = path.basename(basedir)
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import urllib2
| [
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lines = []
with open('Time.txt') as f:
lines = f.readlines()
f.close()
total_lines = len(lines)
TimeTakenInDays = dict()
DifficultLevelInEachDays = dict()
day = 1
for index in range(total_lines):
if(index!=0):
difficultLevel, Time = lines[index].split(" ")
TimeTakenInDays["Day "+str(day-1)] = ... | [
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... | 2.144412 | 1,378 |
from os import environ
from loguru import logger
from sentry_sdk import capture_exception
| [
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198
] | 3.576923 | 26 |
from datetime import datetime
from flask_login import current_user
from flask_wtf import FlaskForm
from sqlalchemy import asc, or_
from wtforms import StringField, FloatField, SelectField, PasswordField, TextAreaField, HiddenField
from wtforms.validators import DataRequired, Length, Regexp, InputRequired, ValidationEr... | [
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1... | 3.302721 | 294 |
from datetime import datetime
from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes import generic
from django.contrib.auth.models import User, Group
from django.utils.translation import ugettext_lazy as _
from authority.managers import PermissionManag... | [
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1... | 3.285448 | 536 |
import unittest
from classes import *
if __name__ == '__main__':
unittest.main()
| [
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import time
import numpy as np
| [
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] | 3.444444 | 9 |
# Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.utils import print_log
from mmdet.datasets.builder import DATASETS
from mmdet.datasets.pipelines import Compose
from torch.utils.data import Dataset
from mmocr.datasets.builder import build_loader
@DATASETS.register_module()
class BaseDatas... | [
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1... | 2.161365 | 2,169 |
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, List, Optional, Tuple
if TYPE_CHECKING:
from .file import HashFile
ADD = "add"
MODIFY = "modify"
DELETE = "delete"
UNCHANGED = "unchanged"
@dataclass
@dataclass
@dataclass
ROOT = ("",)
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21059,... | 2.669903 | 103 |
import io
import re
from setuptools import find_packages, setup
with io.open("int_rew/__init__.py", "rt", encoding="utf8") as f:
version = re.search(r"__version__ = \"(.*?)\"", f.read()).group(1)
setup(
name="intrinsic_rewards",
version=version,
url="https://github.com/kngwyu/intrinsic_rewards",
... | [
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49... | 2.54 | 450 |
# Generated by Django 3.1.2 on 2020-10-17 14:58
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
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1572... | 2.783333 | 60 |
import chorecore
| [
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] | 4.5 | 4 |
# Desafio069 quantas pessoas tem mais de 18, quantos homens, quantas mulheres com menos de 20.
maiorDeIdade = int()
homens = int()
mulheresMenor = int()
while True:
idade = int(input('Qual a idade? '))
sexo = input('M para masculino, e F para feminino ').strip().lower()
if idade > 18:
maiorDeIdad... | [
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... | 2.261538 | 325 |
import builtins
import sys
import unittest
import hebrew_python.hook as hepy
from io import StringIO
from contextlib import contextmanager
import re
# for debug the test:
true_stdout = sys.stdout
true_stderr = sys.stderr
DEBUG = False
if DEBUG:
from ddebug import dd
dd.add_output_folder(with_errors=False)
tr... | [
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... | 2.9375 | 160 |
# Your LRUCache object will be instantiated and called as such:
# obj = LRUCache(capacity)
# param_1 = obj.get(key)
# obj.put(key,value) | [
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# python code for KMTNET data astrometry (specially CTIO data)
# read kmtnet_astrom.txt first to understand the order and process
# 2015.09.17 Changsu Choi
from astropy.io import ascii
import numpy as np
import os,sys
from astropy.io import fits
import astropy.units as u
import astropy.coordinates as coord
import ast... | [
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2... | 2.301087 | 920 |
# coding=utf-8
"""Command line processing"""
import argparse
from sksurgeryspeech import __version__
from sksurgeryspeech.ui import sksurgeryspeech_demo
def main(args=None):
"""Entry point for scikit-surgeryspeech application"""
parser = argparse.ArgumentParser(description='scikit-surgeryspeech')
ver... | [
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264,
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264,... | 2.646302 | 311 |
import numpy as np
import pandas as pd
import torch
from torch import nn
from torch.utils.data import TensorDataset,DataLoader
X = np.random.normal(5,2,(10000,30))
Y = X@np.random.normal(1,2,30)
model = NeuralNetwork(
configuration= nn.Sequential(
nn.Linear(30,10),
... | [
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22... | 2.018608 | 1,236 |
# Auto generated by generator.py. Delete this line if you make modification.
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor
XPATH = {
'name' : "//div[@class='mo-ta']/p[1]",
'price' : "//span[@class='item_price']",
'category' : "//div[@class='tieu-de']/h1/a",
'descriptio... | [
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... | 2.297362 | 417 |
from time import time
from tdw.controller import Controller
from tdw.tdw_utils import TDWUtils
"""
Benchmark the speed of deserializing structs (such as Vector3 and Quaternion).
"""
if __name__ == "__main__":
o_id = 0
cmds = [{"$type": "teleport_object",
"position": {"x": 0, "y": 0, "z": 0},
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13,
8671,
86,
62,
26791,
1330,
13320,
54,
18274,
4487,
628,
198,
37811,
198,
44199,
4102,
262,
2866,
286,
748,
48499,
2890,
2878,
82,
357,
10508... | 2.051597 | 407 |
import numpy as np
q=__
l=__
x = np.linspace(0,l,__)
M = q/2*(l*x-x**2)
V = q*(1/2-x)
print("Moment")
print(__)
print("Shear")
print(__) | [
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9,
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9,
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8,
19... | 1.719512 | 82 |
from datetime import datetime, timedelta
from collections import defaultdict
from flask import render_template, request
from flask.ext.login import login_required
from ybk.models import Collection
from ybk.settings import get_conf
from .views import frontend
@frontend.route('/calendar/')
@login_required
| [
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... | 3.690476 | 84 |
for c in range(1, 50):
print(c, ":", fibonacci(c))
| [
198,
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269,
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2837,
7,
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11,
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11,
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25,
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7,
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] | 2 | 28 |
#
# This is the code for plotting the figures for RQ1. It is optimized towards plotting exactly those figures
# Use data_analysis.py for explorative data analysis
#
import matplotlib
matplotlib.rcParams['pdf.fonttype'] = 42
matplotlib.rcParams['ps.fonttype'] = 42
from plotting_utils import load_data_from_folder, creat... | [
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2,
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2603,
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80... | 3.042683 | 164 |
# -*- coding: utf-8 -*-
# Example code for telegrambot.py module
from telegram.ext import CommandHandler, MessageHandler, Filters
from django_telegrambot.apps import DjangoTelegramBot
import logging
logger = logging.getLogger(__name__)
# Define a few command handlers. These usually take the two arguments bot and
# u... | [
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11,
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14208,
62... | 3.59292 | 113 |
import os
import dlib
from pathlib import Path
root_path = Path(__file__).parent
landmarks_model_path = os.path.join(root_path, 'shape_predictor_68_face_landmarks.dat')
landmarks_detector = LandmarksDetector(landmarks_model_path)
| [
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201,
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2... | 2.688889 | 90 |
import os
import rnnSMAP
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import imp
imp.reload(rnnSMAP)
rnnSMAP.reload()
figTitleLst = ['Temporal Test', 'Spatial Test']
figNameLst = ['temporal', 'spatial']
matplotlib.rcParams.update({'font.size': 14})
matplotlib.rcParams.upda... | [
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355,
50000,
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198,
198,
11748,
848,... | 2.027938 | 2,076 |
import pandas as pd
import geopandas as gpd
import re
import textdistance
import numpy as np
import math
if __name__ == "__main__":
main() | [
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... | 3 | 48 |
from setuptools import setup
setup(install_requires=open("requirements.txt").readlines())
| [
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# This script handles the SIP configuration and generates the Makefiles.
#
# Copyright (c) 2019 Riverbank Computing Limited <info@riverbankcomputing.com>
#
# This file is part of SIP.
#
# This copy of SIP is licensed for use under the terms of the SIP License
# Agreement. See the file LICENSE for more details.
#
# Thi... | [
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3... | 2.165177 | 15,995 |
import pytest
from stix2patterns.pattern import ParseException
from stix2matcher.matcher import match
_observations = [
{
"type": "observed-data",
"first_observed": "2004-10-11T21:44:58Z",
"last_observed": "2004-10-11T21:44:58Z",
"number_observed": 1,
"objects": {
... | [
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... | 1.859694 | 392 |
#reference: https://www.tutorialspoint.com/python/python_database_access.htm
import MySQLdb as mysqldb
if __name__ == '__main__':
store_reldb()
| [
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... | 2.566667 | 60 |
import json
from typing import Any, Dict
from ..request import Request
from ..response import Response
from ..router import Router
router = Router()
@router.get("/users/{user_id}")
| [
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31,
472,... | 3.381818 | 55 |
import os
filename = os.path.join(os.getcwd(), "data.json")
# f = open(filename)
with open(filename, mode="w") as f:
print("name :", f.name)
print("mode :", f.mode)
print("buffer :", f.buffer)
print("encoding :", f.encoding)
print("closed :", f.closed)
print("errors :", f.errors)
... | [
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#!/usr/bin/env python3
from setuptools import setup
setup(
name='notcologger',
version='0.1.2',
description='Not CO Logger, a cloud logging library.',
long_description=
'''This library is aimed at helping produce consistent searchable log
entries to stdout in a cloud/container environment.''',
k... | [
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3... | 2.644886 | 352 |
from tensorflow import keras
from .tf_base import KerasVectorRegressionModel
from .. import normalisation
| [
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198,
6738,
11485,
1330,
3487,
5612,
628,
628
] | 3.793103 | 29 |
#!/usr/bin/env python
from __future__ import print_function
import sys
from PyAnalysisTools.base import get_default_argparser, default_init
from PyAnalysisTools.base.YAMLHandle import YAMLLoader, YAMLDumper
from PyAnalysisTools.AnalysisTools.XSHandle import Dataset
if __name__ == '__main__':
main(sys.argv[1:]... | [
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from nuclear import *
from nuclear.parser.error import CliDefinitionError
from tests.asserts import MockIO, assert_error
from functools import reduce
import base64
cli = CliBuilder()
@cli.add_command('hello')
def say_hello(name: str, decode: bool = False, repeat: int = 1):
"""
Say hello to someone
:para... | [
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... | 2.529976 | 417 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-08-22 18:16
from __future__ import unicode_literals
from django.db import migrations, models
| [
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834,
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28000,
1098,
62,
17201,
874,
198,
... | 2.736842 | 57 |
n = int(input())
for i in range(0, n+1):
if n % i == 0:
print(i) | [
77,
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7,
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7,
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8
] | 1.970588 | 34 |
# Copyright 2021 Victor Guimarães
#
# 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 i... | [
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287,
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... | 2.101155 | 21,818 |
# Generated by Django 2.0 on 2018-12-07 11:05
from django.conf import settings
import django.contrib.postgres.fields
import django.contrib.postgres.fields.citext
from django.db import migrations, models
import django.db.models.deletion
import uuid
| [
2,
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198,
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42625,
14208,
... | 3.04878 | 82 |
########################################################################################################################
# #
# This file is part of kAIvy ... | [
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2... | 1.963316 | 1,363 |
# -*- coding: utf-8 -*-
import os
import re
import warnings
from setuptools.dist import Distribution
from setuptools.extension import Extension
from pip.commands.wheel import WheelCommand
from pip.status_codes import SUCCESS
from semantic_version import Spec, Version
from .._compat import Path, PY2, encode
from ..ut... | [
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6738,
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3004,
1330,
27995... | 2.060839 | 5,342 |
# Copyright 2018 The TensorFlow 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 applica... | [
2,
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198,
2,
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743,
407,
779,
428,
2393,
2845,
287,
11846,
... | 2.292143 | 8,667 |
"""
* Created by Synerty Pty Ltd
*
* This software is open source, the MIT license applies.
*
* Website : http://www.synerty.com
* Support : support@synerty.com
"""
import logging
from abc import ABCMeta, abstractmethod
from collections import deque
from twisted.internet import reactor
from twisted.internet.defe... | [
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... | 3.717514 | 177 |
# -*- coding: utf-8 -*-
import matplotlib
matplotlib.use("Agg")
| [
2,
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7203,
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] | 2.090909 | 33 |
import numpy as np
import tensorflow as tf
from src.etc import audio
from src.tac.core.wavenet_vocoder import util
from src.tac.core.wavenet_vocoder.models.gaussian import sample_from_gaussian
from src.tac.core.wavenet_vocoder.models.mixture import \
sample_from_discretized_mix_logistic
from src.tac.core.wavenet_v... | [
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83... | 2.312933 | 12,124 |
"""Custom User Model"""
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, \
PermissionsMixin
from django.db import models
class CustomUserManager(BaseUserManager):
"""Custom User Manager overridden from BaseUserManager for CustomUser"""
def _create_user(self, email, password=None... | [
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9... | 2.889961 | 518 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
import torchvision.utils
import torch.optim as optim
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
# for mixed precision
import torch.nn.utils as torch_util... | [
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376,
198,
11748,
28034,
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13,
7645,
23914,
355,
31408,
198,
11748,
28034,
10178,
13,
26791,
198,
11748,... | 3.092308 | 975 |
from django.conf.urls import url
from tenant_tutorial.views import HomeView
urlpatterns = [
url(r'^$', HomeView.as_view()),
]
| [
6738,
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7,
81,
6,
61,
3,
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5995,
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62... | 2.64 | 50 |
from django.views.generic import ListView, CreateView, DetailView
from events.models import Talk
from . import forms
from . import models
| [
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6738,
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628
] | 3.944444 | 36 |
from discord.ext import commands
from random import choice, shuffle
import aiohttp
import asyncio
import discord
import urllib.request, json
import random
import requests
class Funs:
"""Commandes funs."""
@commands.command()
async def avatar(self, ctx, user : discord.Member):
"""... | [
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117... | 2.143951 | 2,612 |
from django.db import models
| [
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1330,
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] | 3.75 | 8 |
"""
Create a Marker table from an AnnData Object.
"""
from statsmodels.stats.proportion import proportions_ztest
from scipy.stats import ttest_ind
import pandas as pd
import numpy as np
from ctwingest.scanpyapi import proportion_expressed_cluster, centroids, get_expression, std_gt_0_genes
def scale_centroids(centers,... | [
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1... | 2.415846 | 2,032 |
#################################################################
# Copyright (C) #
# 2019 Qiskit Team #
# Permission given to modify the code as long as you keep this #
# declaration at the top ... | [
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22... | 2.504298 | 349 |
import numpy as np, time
from keras.models import Model, load_model
from keras.layers import Input, BatchNormalization, Activation, Dropout, concatenate
from keras.layers.convolutional import Conv2D, Conv2DTranspose, Conv3D, Conv3DTranspose
from keras.layers.pooling import MaxPooling2D, GlobalMaxPool2D, MaxPooling3D
f... | [
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3... | 3.101563 | 128 |
from django.contrib import admin
from . import models
admin.site.register(models.Address, AddressAdmin)
admin.site.register(models.CreditCard, CreditCardAdmin)
| [
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'''Autogenerated by get_gl_extensions script, do not edit!'''
from OpenGL import platform as _p, constants as _cs, arrays
from OpenGL.GL import glget
import ctypes
EXTENSION_NAME = 'GL_ARB_base_instance'
@_f
@_p.types(None,_cs.GLenum,_cs.GLint,_cs.GLsizei,_cs.GLsizei,_cs.GLuint)
@_f
@_p.types(None,_cs.GLenum,_cs.GLsiz... | [
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1... | 2.462366 | 279 |
import configparser
import requests
import time
import numpy as np
from PIL import Image
from io import BytesIO
import configparser
from code import CodeRecognizer
from utils import *
if __name__ == "__main__":
cf = configparser.ConfigParser()
cf.read("info.conf")
while process_orders(cf):
t... | [
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... | 2.938053 | 113 |
#!/usr/bin/env python
'''
A solution to a ROSALIND bioinformatics problem.
Problem Title: Finding a Motif in DNA
Rosalind ID: SUBS
Rosalind #: 009
URL: http://rosalind.info/problems/subs/
'''
if __name__ == "__main__":
main()
| [
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from .wrapper import CDataReader | [
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1045,
33634
] | 4.571429 | 7 |
from django.db import models
from .timestamp import TimeStamp
# from .user import UserProfile
from customer.models import UserProfile
from .item import Item
| [
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] | 3.95 | 40 |
#!/usr/bin/env python
import os
import random
from google.protobuf import text_format
from google.protobuf.descriptor import Descriptor, FieldDescriptor
from .document_pb2 import Document
from dremel.consts import *
from dremel.simple import create_simple_storage
| [
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... | 3.308642 | 81 |
print("Way to transform two lists into one dict")
purchases = ["rice", "beans", "pasta"]
prices = ["2.00", "3.80", "4.90"]
new_list = {}
# for x in range(len(purchases)):
# new_list[purchases[x]] = prices[x]
# for id, item in enumerate(compras):
# new_list[purchases[id]] = prices[id]
new_list = {item: prices... | [
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... | 2.468208 | 173 |
'''Plotting Utility.
Grad-CAM implementation in Pytorch
Reference:
[1] xyz
[2] xyz
'''
import matplotlib.pyplot as plt
import numpy as np
import torch
def denormalize(tensor, mean, std):
"""Denormalize the image for given mean and standard deviation.
Args:
tensor: Image tensor
mean: Dataset... | [
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# coding:utf-8
import os
import subprocess
if __name__ == "__main__":
j = JavaImage(codeDir=os.path.abspath(os.curdir), shell_file="javapack.sh",
imageTag="harbor.dev.21vianet.com/cmdb/cmdb_javatopo:latest")
j.begin()
# print()
| [
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... | 2.071429 | 126 |
from django import forms
from uploads.core.models import Document
#from uploads.core.models import File
# 創造一個依照model的form，會繼承欄位description document
# class FileForm(forms.ModelForm):
# class Meta:
# model = File
# fields = ('filename',)
# file = forms.FileField()
# pid = forms.CharField(... | [
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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
pathway_file = '../../drp-data/pathways/9606.enrichr_pathway.edge'
pathway = pd.read_csv(pathway_file, sep='\t', header=None)
print("pathways:", pathway[0].nunique())
print("pathway genes:", pathway[1].nunique())
gsc_filtered = '../../KnowEng_GSC... | [
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3... | 2.210276 | 2,316 |
import os
import platform
if(platform.system() == 'Windows'):
FILENAME = 'terminateFile.bat'
elif(platform.system() == 'Linux'):
FILENAME = 'idle.sh'
TIME = 900
PATH = os.getcwd()
# print(platform.system()) | [
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70... | 2.654321 | 81 |
import sys
import numpy as np
import itertools
import deeptrack as dt
import pytest
u = dt.units
@pytest.mark.parametrize(
"size,gpu",
[
*itertools.product(
(64, 256, 512),
[True, False],
)
],
)
| [
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... | 1.953488 | 129 |
# helper functions for Euca2ools
import subprocess
import os
import time
| [
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"""ClaudiusIrae song logic."""
import OSC
from Psc2.songs import song
from Psc2.modes import bass_doubler
from Psc2.modes import looper
class ClaudiusIrae(song.Song):
"""This defines the logic for ClaudiusIrae.
For most of the song it is in bass-doubling mode, except for the solo section
where the bass is aut... | [
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import random
from emulators.Device import Device
from emulators.Medium import Medium
from emulators.MessageStub import MessageStub
# We extend the MessageStub here for the message-types we wish to communicate
# the constructor-function takes the source and destination as arguments. These are used for "routing"... | [
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3... | 4.140541 | 185 |
#!/usr/bin/env python
import setpath
import unittest
from rename import rename
import compiler
from bike import testdata
from bike.testutils import*
from bike.transformer.save import save
# Generic tests. These tests are designed to be run in the context of a ui
# and in a package hierarchy structure
... | [
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1... | 3.064378 | 233 |
from rest_framework import serializers
from care.users.models import District, LocalBody, State, Ward, Block
| [
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11,
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628,
628,
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198
] | 3.866667 | 30 |
import ijson, csv, json, datetime
import sys
sys.path.append('../lib')
from accounts.company import Company
if __name__ == '__main__':
main() | [
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834,
... | 2.921569 | 51 |
import numpy as np
import random
import re
import copy
| [
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299,
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# -*- coding: utf-8 -*-
__version__ = '1.1.15'
from .filemaker import create_files # noqa
| [
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2251,
62,
16624,
220,
220,
220,
220,
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645,
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] | 2.181818 | 44 |
from dataclasses import dataclass
from functools import partial
from typing import Callable, List, Optional
from colassigner.constants import PREFIX_SEP
from ...utils import chainmap
from .artifact_metadata import ArtifactMetadata
from .column import Column
from .feature_types import CompositeFeature, ForeignKey, Pri... | [
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570,
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19... | 3.901786 | 112 |
from jinfo.utils.one_hot_dna import one_hot_dna
from jinfo.utils.random_DNASeq import random_DNASeq
from jinfo.utils.DNASeq_from_NCBI import DNASeq_from_NCBI
from jinfo.utils.seq_list_to_fasta import seq_list_to_fasta
from jinfo.utils.seq_list_from_fasta import seq_list_from_fasta
from jinfo.utils.seq_from_fasta import... | [
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198,
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474,
10951,
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... | 2.79386 | 228 |
from multiprocessing import Pool
from random import randrange
from absl import logging
from patterns.command.action import Action
from patterns.command.callback.handler import Callback
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1... | 4.318182 | 44 |
'''
Created on February 25, 2019
This file is subject to the terms and conditions defined in the
file 'LICENSE.txt', which is part of this source code package.
@author: David Moss
'''
from intelligence.intelligence import Intelligence
class LocationMidnightMicroservice(Intelligence):
"""
Announce midnight t... | [
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... | 3.238281 | 256 |
import hashlib
from typing import List
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] | 4.444444 | 9 |
# Copyright 2017 Battelle Energy Alliance, 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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13,... | 2.929184 | 3,149 |
from rest_framework import serializers
from goods.models import SKU
from orders.models import OrderInfo, OrderGoods
class SKUSerializer(serializers.ModelSerializer):
'''SKU'''
class OrderGoodsSerialzier(serializers.ModelSerializer):
"""
订单商品表
"""
sku = SKUSerializer()
class OrderSeri... | [
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#!/usr/bin/env python
#
# This application creates a Name Server, Event Server,
# Pyro server, and clients, and uses a custom event loop to keep them
# all running in parallel.
# The custom loop runs in its own server thread otherwise we
# can't run client invocations, obviously.
# The main loop calls Pyro objects to s... | [
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... | 4.081081 | 259 |
# Make it run from the examples directory
import sys
sys.path.append("..")
from liquer import *
@first_command
@command
# with default delimiters
print (evaluate_template("""
Template example [[]]
- $hello$
- $hello/greet$
- $hello/greet-everybody$
"""))
# with custom delimiters
print (evaluate_template("""
Temp... | [
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4672... | 2.921986 | 141 |
import numpy as np
| [
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] | 3.333333 | 6 |