filename stringlengths 13 19 | text stringlengths 134 1.04M |
|---|---|
the-stack_106_21843 | """
Prepares documentation and sets up a Jekyll project into which the documentation goes.
Functions
=========
add_frontmatter(file_name, title, makenew=False)
Adds basic frontmatter to a MarkDown file that will be used in a Jekyll project.
"""
#def make_project
def add_frontmatter(file_name, title, makenew=Fals... |
the-stack_106_21844 | from typing import cast, Dict, Set, Optional, Union
from spec_random import SPEC_RANDOM
from spec_basis import Rand, Kobj, KindSend, Lego, Syscall, Program, Executable
from spec_pack import pack_int
from spec_lego_simple import LegoSimple
from spec_lego_pointer import LegoPointer
from spec_lego_vector import RandVecto... |
the-stack_106_21846 | import unittest
from itertools import combinations
import json
import mock
import pytest
import uuid
from mlflow.protos.model_registry_pb2 import CreateRegisteredModel, \
UpdateRegisteredModel, DeleteRegisteredModel, ListRegisteredModels, \
GetRegisteredModel, GetLatestVersions, CreateModelVersion, UpdateMode... |
the-stack_106_21847 | import tensorflow as tf
EMB_SIZE = 10
def gen_conv(batch_input, out_channels, kernel_size, a):
# [batch, in_width, in_channels] => [batch, out_width, out_channels]
initializer = tf.random_normal_initializer(0, 0.02)
return tf.layers.conv1d(batch_input, out_channels, kernel_size=kernel_size, strides=1, pa... |
the-stack_106_21848 | '''
Original Code:
https://github.com/yysijie/st-gcn/blob/master/processor/io.py
'''
#!/usr/bin/env python
# pylint: disable=W0201
import sys
import argparse
import yaml
import numpy as np
# torch
import torch
import torch.nn as nn
# torchlight
import torchlight
from torchlight import str2bool
from torchlight import ... |
the-stack_106_21850 | import json
from datetime import datetime
import pandas as pd
import scrapy
class PlayerSpider(scrapy.Spider):
# set the attributes for the spider
name = "player"
def __init__(self, **kwargs):
"""initialize the data"""
super().__init__(**kwargs)
# create player data frame
... |
the-stack_106_21851 | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# @Author : Bismarckkk
# @Site : https://github.com/bismarckkk
# @File : rosNode.py
import sys
import logging
import cv2
import numpy as np
import rospy
from sensor_msgs.msg import Image
from radar_msgs.msg import points, point, view_control
from hp_limit_helper.m... |
the-stack_106_21854 | # Copyright (c) 2014 Olli Wang. All right 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 applicable l... |
the-stack_106_21856 | # 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... |
the-stack_106_21857 | """Support for mobile_app push notifications."""
import asyncio
import logging
import async_timeout
from homeassistant.components.notify import (
ATTR_DATA,
ATTR_MESSAGE,
ATTR_TARGET,
ATTR_TITLE,
ATTR_TITLE_DEFAULT,
BaseNotificationService,
)
from homeassistant.const import (
HTTP_ACCEPTED... |
the-stack_106_21858 | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# 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... |
the-stack_106_21859 | # coding: utf-8
# Like v2, and in contrast to v1, this version removes the cumprod from the forward pass
# In addition, it uses a different conditional loss function compared to v2.
# Here, the loss is computed as the average loss of the total samples,
# instead of firstly averaging the cross entropy inside each tas... |
the-stack_106_21864 | from datetime import datetime, timedelta
from time import sleep
import requests
import napalm
from napalm.base.exceptions import NapalmException
import yaml
import socket
import time
import re
MONITOR_INTERVAL = 15
DISCOVERY_INTERVAL = 300
def get_version(device, facts):
if device["os"] == "iosxe":
re_... |
the-stack_106_21866 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
import modelcluster.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailcore', '0010_change_page_owner_to_null_on_delete'),
]
operations ... |
the-stack_106_21867 | """
================================
LASA Handwriting with ProMPs
================================
The LASA Handwriting dataset learned with ProMPs. The dataset consists of
2D handwriting motions. The first and third column of the plot represent
demonstrations and the second and fourth column show the imitated ProMPs
... |
the-stack_106_21868 | import argparse
import os
from dataManipulation import *
from utils import summary, summary_raw, get_support_from_mcmc
from vbpi import VBPI
from utils import namenum
import time
import torch
import numpy as np
import datetime
import math
parser = argparse.ArgumentParser()
######### Load arguments
parser.add_argume... |
the-stack_106_21869 | #!/usr/bin/env python3
# ver 0.1 - coding python by Hyuntae Jung on 4/1/2018
import argparse
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='average files from .npy or text files which are the same size like (value, *)s' )
## args
parser.add_argument(... |
the-stack_106_21870 | #!/usr/local/bin/python3
"""
Unicoder
Version:
1.0.1
Copyright:
2019, Tony Smith (@smittytone)
License:
MIT (terms attached to this repo)
"""
##########################################################################
# Program library imports #
###########... |
the-stack_106_21871 | # PyChain Ledger
################################################################################
# You’ll make the following updates to the provided Python file for this
# Challenge, which already contains the basic `PyChain` ledger structure that
# you created throughout the module:
# Step 1: Create a Record Data Cl... |
the-stack_106_21872 | from typing import Tuple, FrozenSet
from pysmt.environment import Environment as PysmtEnv
from pysmt.fnode import FNode
import pysmt.typing as types
from utils import symb_to_next
from hint import Hint, Location
def transition_system(env: PysmtEnv) -> Tuple[FrozenSet[FNode], FNode, FNode,
... |
the-stack_106_21874 | #!/usr/bin/env python3
"""tests for rummikub.py"""
import os
import re
import random
import string
from subprocess import getstatusoutput
prg = './rummikub.py'
# --------------------------------------------------
def test_exists():
"""exists"""
assert os.path.isfile(prg)
# -------------------------------... |
the-stack_106_21876 | # Copyright 2016 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""Lease management for machines leased from the Machine Provider.
Keeps a list of machine types which should be leased from the Machine Provider... |
the-stack_106_21878 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import io
from nslocalized import *
def test_read_utf8_no_bom():
"""Test that we can read UTF-8 strings files."""
data='''\
/* Test string */
"åéîøü" = "ÅÉÎØÜ";
'''.encode('utf-8')
with io.BytesIO(data) as f:
st = StringTable.read... |
the-stack_106_21879 | #
# Copyright (c) 2021 Citrix Systems, 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... |
the-stack_106_21880 | import numpy as np
import math
import time
def fastLms(signalInput, desiredOutput, M, step=0.1, forgetness=0.9):
blocks = int(math.ceil(1.0 * signalInput.size/M))
coefficients = np.random.rand(2*M)
P = np.ones(2*M)
totalOut = []
startTime = time.time()
for i in range(blocks):
des = de... |
the-stack_106_21886 | from typing import Type, Tuple, Union
import numpy as np
from autoconf import cached_property
from .abstract import AbstractMessage
from .transform import AbstractDensityTransform
class TransformedMessage(AbstractMessage):
_Message: Type[AbstractMessage]
_transform: Union[AbstractDensityTransform, Type[Abst... |
the-stack_106_21887 | #!/usr/bin/env python
#
# Copyright (c) 2019, Pycom Limited.
#
# This software is licensed under the GNU GPL version 3 or any
# later version, with permitted additional terms. For more information
# see the Pycom Licence v1.0 document supplied with this file, or
# available at https://www.pycom.io/opensource/licensing
... |
the-stack_106_21890 | # Copyright The PyTorch Lightning team.
#
# 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... |
the-stack_106_21891 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
=========================================================================
Program: Visualization Toolkit
Module: TestNamedColorsIntegration.py
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.... |
the-stack_106_21892 | #!/usr/bin/python3
'''
--- Day 1: Report Repair ---
After saving Christmas five years in a row, you've decided to take a vacation at a nice resort on a tropical island. Surely, Christmas will go on without you.
The tropical island has its own currency and is entirely cash-only. The gold coins used there have a littl... |
the-stack_106_21893 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 2 19:55:38 2018
@author: saschajecklin
"""
import sys
sys.path.append("..")
import random
import numpy as np
from collections import deque
from keras.models import Model
from keras.layers import Dense, Flatten, Input, Conv2D
from keras.optimizers ... |
the-stack_106_21895 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from hypothesis import given, assume
import hypothesis.strategies as st
from itertools import izip
from caffe2.python import core, cnn
import caffe2.python.hypothesis_test_util as hu
class... |
the-stack_106_21896 | # 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... |
the-stack_106_21899 | import os
from typing import Callable, Optional, Dict
import dill
from easypl.datasets.base import PathBaseDataset
class DirDatasetClassification(PathBaseDataset):
"""
Dataset implementation for images in directory on disk (stored images paths in RAM).
Require root_path/.../image_path structure.
Att... |
the-stack_106_21900 | # Calculate weignted average of coins from coinmarketcap.com
from requests import Request, Session
from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
import json
from influxdb import InfluxDBClient
url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
parameters = {
'st... |
the-stack_106_21901 | import numpy as np
import pdb
def muscleVolumeCalculator(subjectHeight,subjectMass):
# This function calculates subject's muscle volume based on its height (in meters) and mass (in kg).
# Import OpenSim Libraries
# import org.opensim.modeling.*
# filename = 'muscleData.xlsx';
# [pathstr,~,~] = filep... |
the-stack_106_21902 | import os
import pprint
import argparse
import wandb
import torch
import numpy as np
from dataset import ShapeNet15k
from models.networks import SetTransformer, Generator
from models.pct import PCT
from trainers.losses import DSMLoss, AnnealedDSMLoss
from trainers.samplers import LangevinSampler, AnnealedLangevinSamp... |
the-stack_106_21905 | # coding=utf-8
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. 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/... |
the-stack_106_21908 | import numpy
import six
from chainer import cuda
def get_conv_outsize(size, k, s, p, cover_all=False):
if cover_all:
return (size + p * 2 - k + s - 1) // s + 1
else:
return (size + p * 2 - k) // s + 1
def get_deconv_outsize(size, k, s, p, cover_all=False):
if cover_all:
return s... |
the-stack_106_21910 | # Copyright (c) 2018, Arm Limited and affiliates.
# SPDX-License-Identifier: Apache-2.0
#
# 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
#
# ... |
the-stack_106_21914 | ##
# Copyright (c) 2012-2017 Apple Inc. 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 applicable l... |
the-stack_106_21915 | import numpy as np
#シグモイド関数の実装
def sigmoid(x):
return 1 / (1 + np.exp(-x))
#恒等関数(入力したものに対して何も手を加えずに出力する関数)
def identity_function(x):
return x
#重みとバイアスの初期化
def init_network():
network = {}
network['W1'] = np.array([[0.1, 0.3, 0.5], [0.2, 0.4, 0.6]])
network['b1'] = np.array([0.1, 0.2, 0.3])
ne... |
the-stack_106_21916 | '''
The static grains, these are the core, or built in grains.
When grains are loaded they are not loaded in the same way that modules are
loaded, grain functions are detected and executed, the functions MUST
return a dict which will be applied to the main grains dict. This module
will always be executed first, so tha... |
the-stack_106_21919 | import time
import threading
import config
from config import *
class IBlock:
def __init__(self):
self.cells = 4 # Number of cells occupied by the block
config.block_count += 1
config.item_id["blocks"][f"{config.block_count}"] = {} # Add a new key to dictionary to add block IDs
... |
the-stack_106_21920 | import numpy as np
from scipy.signal import find_peaks
__all__ = ['bls_peakfinder']
def bls_peakfinder(results):
"""
Find peaks in a Box Least Squares spectrum.
Parameters
----------
results : `~astropy.timeseries.BoxLeastSquaresResults`
BLS results
Returns
-------
inds : `~... |
the-stack_106_21921 | import cv2
import keras
import math
import matplotlib.pyplot as plt
import numpy as np
import random
import warnings
from generators.utils import get_affine_transform, affine_transform
from generators.utils import gaussian_radius, draw_gaussian, gaussian_radius_2, draw_gaussian_2
class Generator(keras.utils.Sequence... |
the-stack_106_21922 | from pathlib import Path
def mkdir(out_dir):
out_dir = Path(out_dir)
if not out_dir.exists():
out_dir.mkdir(parents=True, exist_ok=True)
def load_current_env():
'''获取当前目录的决对路径，且添加 Python 环境'''
import os
# 获取根目录
try: # colab 目录
from google.colab import drive
root = '/... |
the-stack_106_21924 | #!/usr/bin/env python3
import argparse
import jinja2
import os
import yaml
import pnrg.filters
from distutils import dir_util
import logging, sys
class OutputFormat(object):
def __init__(self, arg_name, template_extension, output_suffix):
self.arg_name = arg_name
self.template_extension = template... |
the-stack_106_21925 | from datetime import (
date,
datetime,
)
import subprocess
import sys
import numpy as np
import pytest
import pandas._config.config as cf
import pandas.util._test_decorators as td
from pandas import (
Index,
Period,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pand... |
the-stack_106_21926 | unconfirmed_users = ['alice', 'brain', 'candace']
confirmed_users = []
while unconfirmed_users:
current_user = unconfirmed_users.pop()
print("Verifying user: "+current_user.title())
confirmed_users.append(current_user)
print("\nThe following users have been confirmed:")
for confirmed_user in confirmed_use... |
the-stack_106_21929 | import pytest
from cactusbot.handlers import SpamHandler
from cactusbot.packets import MessagePacket
async def get_user_id(_):
return 0
class MockAPI:
async def get_trust(self, _):
class Response:
status = 404
return Response()
spam_handler = SpamHandler(MockAPI())
@pytest.... |
the-stack_106_21931 | # 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... |
the-stack_106_21932 | """
This file offers the methods to automatically retrieve the graph Devosia crocina.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--protein associ... |
the-stack_106_21935 | import argparse
import tensorflow as tf
tf.random.set_seed(10)
import numpy as np
np.random.seed(15)
import matplotlib.pyplot as plt
from surrogate_models import coefficient_model
from optimizers import surrogate_optimizer
from utils import shape_return
if __name__ == '__main__':
'''
Usage: python nn_opt.py... |
the-stack_106_21937 | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
from nipype.pipeline import engine as pe
from fmriprep.workflows.bold.base import _get_wf_name
class FactoryContext:
def __init__(self, workdir, spec, bidsdatabase, workflow,... |
the-stack_106_21938 | #!/usr/bin/env python3
#
# Copyright (c) 2016, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... |
the-stack_106_21939 | # -*- coding: utf-8 -*-
# Questo è Sensorberry
# File principale
# È stato costruito da Alessandro Massarenti
# V 2.0
import threading
import time
import serial
from telepot.loop import MessageLoop
from telepot.namedtuple import ReplyKeyboardMarkup, KeyboardButton
from config import *
from funzioni import *
from pl... |
the-stack_106_21940 | #!/usr/bin/env python3
"""
Copyright (C) 2018-2020 Intel Corporation
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 applic... |
the-stack_106_21944 | import requests
import json
import smtplib
URL = 'https://min-api.cryptocompare.com/data/price?fsym=DOGE&tsyms=INR'
def getDogePrice():
response = requests.request('GET', URL)
response = json.loads(response.text)
f = open(r'C:\Users\Mittu\Desktop\DogeAlert\value_change.txt', 'r')
previous_value = f.r... |
the-stack_106_21945 | """Definition of HLO Instructions"""
from collections import defaultdict
from enum import Enum, auto
import numpy as np
from common import compute_bytes, append_flatten_elements, transpose_flatten, reshape_flatten
class ShardingSpecType(Enum):
REPLICATED = auto()
MAXIMAL = auto()
OTHER = auto()
TUP... |
the-stack_106_21946 | """
Copyright (c) Microsoft Corporation.
Licensed under the MIT license.
HERO for Video Question Answering Tasks, shared by:
1. TVQA
2. How2QA
"""
from collections import defaultdict
import copy
import torch
from torch import nn
from torch.nn import functional as F
from .model import HeroModel
from .layers import ML... |
the-stack_106_21947 | from collections import deque
import time
import gym
import tensorflow as tf
import numpy as np
from mpi4py import MPI
from stable_baselines.common import Dataset, explained_variance, fmt_row, zipsame, ActorCriticRLModel, SetVerbosity, \
TensorboardWriter
from stable_baselines import logger
import stable_baseline... |
the-stack_106_21948 | ######################################################################################################################
# Copyright 2016 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
the-stack_106_21949 | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
... |
the-stack_106_21951 | # -*- coding: UTF-8 -*-
# Copyright (c) 2021 PaddlePaddle 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
#
# ... |
the-stack_106_21954 | """Module containing common scenarios that can be used
for writing tests with less boiler-plate."""
from typing import List, Dict, Any
import unittest
import time
from vega_client import vegaClient
from suite import vegaNetwork, ProcessOutput, ProcessExitResult
from requests.exceptions import ConnectionError
RETRIES... |
the-stack_106_21955 | from __future__ import print_function
import argparse
import av
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('output')
args = arg_parser.parse_args()
of = av.open(args.output, 'w')
print(of)
for codec_name in 'aac', 'vorbis':
try:
os = of.add_stream(codec_name)
except Exception as... |
the-stack_106_21956 | import logging
import contextlib
import io
import sys
import json
import os
from unittest import TestCase, mock
from google.cloud import logging_v2
import bigflow.log
class LoggerTestCase(TestCase):
def configure_mocked_logging(self, project_id, log_name, workflow_id=None):
self.gcp_handler = mock.Moc... |
the-stack_106_21957 | # -*- coding: utf-8 -*-
"""
cleaning up the different parts
"""
import os
import glob
import pandas as pd
# load data
path = 'data/'
all_files = glob.glob(os.path.join(path, "*.csv"))
df = (pd.read_csv(f) for f in all_files)
tracks = pd.concat(df, ignore_index=True)
# get rid of sloppiness before
... |
the-stack_106_21958 | import sys
import json
from collections import OrderedDict
TERMINATORS = ["jmp", "br", "ret"]
def form_blocks(instrs):
cur_block = []
for instr in instrs:
if "op" in instr: # instruction
cur_block.append(instr)
if instr["op"] in TERMINATORS:
if cur_block:
... |
the-stack_106_21962 | import inspect
import json
import math
import numbers
from textwrap import TextWrapper
import mmap
import time
import numpy as np
from asciitree import BoxStyle, LeftAligned
from asciitree.traversal import Traversal
from collections.abc import Iterable
from numcodecs.compat import ensure_ndarray, ensure_text
from numc... |
the-stack_106_21964 | # Copyright 2016 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... |
the-stack_106_21965 | import gpflow
import numpy as np
from gpflow.mean_functions import Identity, Linear, Zero
from .layers import SVGPLayer
def init_layers_linear(X, Y, Z, kernels, layer_sizes, mean_function=Zero(),
num_outputs=None, Layer=SVGPLayer, whiten=False):
num_outputs = num_outputs or Y.shape[1]
... |
the-stack_106_21966 | from torch_sparse import SparseTensor
class ToSparseTensor(object):
r"""Converts the :obj:`edge_index` attribute of a data object into a
(transposed) :class:`torch_sparse.SparseTensor` type with key
:obj:`adj_.t`.
Args:
remove_faces (bool, optional): If set to :obj:`False`, the
:o... |
the-stack_106_21970 | """A collections of functions to facilitate
analysis of HiC data based on the cooler and cooltools
interfaces."""
import warnings
from typing import Tuple, Dict, Callable
import cooltools.expected
import cooltools.snipping
import pandas as pd
import bioframe
import cooler
import pairtools
import numpy as np
... |
the-stack_106_21971 | # Once for All: Train One Network and Specialize it for Efficient Deployment
# Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han
# International Conference on Learning Representations (ICLR), 2020.
import torch.nn.functional as F
import torch.nn as nn
import torch
from torch.nn.parameter import Parameter
from... |
the-stack_106_21975 | import datetime
from django.conf import settings
from django.db import models
from django.db.models import Q
from django.utils.html import strip_tags
from django.utils.text import Truncator
from wagtail.admin.edit_handlers import FieldPanel, FieldRowPanel, StreamFieldPanel
from wagtail.core.fields import RichTextField... |
the-stack_106_21977 | import sys
import subprocess
from Tkinter import Tk, Frame, Button, LEFT, FLAT
import logging
def set_config(logger, logdir=""):
if logdir != "":
handler = logging.FileHandler(logdir)
else:
handler = logging.StreamHandler()
formatter = logging.Formatter('%(asctime)s %(name)-12s %(levelname)... |
the-stack_106_21978 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import json
import math
import os
import sys
from enum import Enum
from typing import List
import numpy as np
import torch
import torch.nn as nn
from pytext.common.constants import Stage
from pytext.config im... |
the-stack_106_21980 | # Copyright: (c) OpenSpug Organization. https://github.com/openspug/spug
# Copyright: (c) <spug.dev@gmail.com>
# Released under the AGPL-3.0 License.
from git import Repo, RemoteReference, TagReference, InvalidGitRepositoryError, GitCommandError
from tempfile import NamedTemporaryFile
import shutil
import os
class Gi... |
the-stack_106_21981 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import logging
import os
import logging
import traceback
import six
logger = logging.getLogger(__name__)
DATE_FORMATS = {1: "%Y:%m:%d-%H:%M:%S", 2: "%Y/%m/%d %H:%M:%S", 3: "%Y/%m/%d %H:%M:%S"}
def conv_resol(resolution):
return resolution
def conv_datetime(dt, ver... |
the-stack_106_21982 | """
In this module, there are NN that use siamese neural network and receive pairs.
"""
import logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import ModuleList, Sequential, Linear
from model.basic_module import MultilayerDense, meanVector
def computeListOutputSize(encoders)... |
the-stack_106_21984 | """RoomMessagePosterFunction
Allows posting a message to a room. Returns the message ID of the posted
message.
"""
from __future__ import print_function
import os
import json
import time
import hashlib
import boto3
import botocore
from apigateway_helpers.exception import APIGatewayException
from apigateway_helpers... |
the-stack_106_21985 | from tensorflow.keras.preprocessing import sequence
from tensorflow.keras.preprocessing.text import Tokenizer
import pandas as pd
import string
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
def preprocess(s):
return stripPunctuation(removeBr(s.lower()))
def st... |
the-stack_106_21986 | #!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, 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 ... |
the-stack_106_21989 | # coding=utf-8
import os
import shutil
import sys
import time
import logging
import cv2
import numpy as np
import tensorflow as tf
sys.path.append(os.getcwd())
from nets import model_train as model
from utils.rpn_msr.proposal_layer import proposal_layer
from utils.text_connector.detectors import TextDetector
logging... |
the-stack_106_21991 | from .base import DiscordModelsBase
from quart import current_app
import discord
from .. import configs
class Guild(DiscordModelsBase):
"""Class representing discord Guild the user is part of.
Operations
----------
x == y
Checks if two guild's are the same.
x != y
Checks if two g... |
the-stack_106_21992 | """Install SciencePlots.
This will copy the *.mplstyle files into the appropriate directory.
This code is based on a StackOverflow answer:
https://stackoverflow.com/questions/31559225/how-to-ship-or-distribute-a-matplotlib-stylesheet
"""
import atexit
import glob
import os
import shutil
import matplotlib
from setu... |
the-stack_106_21998 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_bzoinq
----------------------------------
Tests for `bzoinq` module.
"""
import pytest
from bzoinq import bzoinq
# @pytest.fixture
# def response():
# """Sample pytest fixture.
# See more at: http://doc.pytest.org/en/latest/fixture.html
# """
# ... |
the-stack_106_21999 | import os
import sys
import glob
import math
from random import shuffle
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
import nibabel as nib
import torch
import torch.nn as nn
import util
from model im... |
the-stack_106_22000 | import editor
from common import msg, utils, shared as G
from collections import defaultdict
vim = None
# Foreground: background
COLORS = (
('white', 'red'),
('black', 'yellow'),
('black', 'green'),
('white', 'blue'),
)
HL_RULES = ['ctermfg=%s ctermbg=%s guifg=%s guibg=%s' % (fg, bg, fg, bg) for fg, ... |
the-stack_106_22001 | data = [[float(y) for y in x.strip().split(', ')] for x in open('block_datadump.csv').readlines()]
for i in range(0, 2283416, 200000):
print('Checking 200k blocks from %d' % i)
dataset = []
totuncles, totuncreward = 0, 0
totbs = [0 for j in range(40)]
totus = [0 for j in range(40)]
for num, unc... |
the-stack_106_22003 | # encoding: utf-8
import re
import subprocess
import sys
import tempfile
from textwrap import dedent
from bpython import args
from bpython.test import (FixLanguageTestCase as TestCase, unittest)
try:
from nose.plugins.attrib import attr
except ImportError:
def attr(*args, **kwargs):
def identity(func... |
the-stack_106_22005 | # =================================================================
#
# Authors: Ian Edwards
#
# Copyright (c) 2020, OpenCDMS Project
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without... |
the-stack_106_22006 | import torch
import torch.nn.functional as F
from torch.autograd import Variable
def get_laststep(model, lens):
shape = model.size()
idx = (lens - 1).view(-1, 1).expand(shape[0], model.size(2)).unsqueeze(1)
model = model.gather(1, Variable(idx)).squeeze(1)
return model
def pooled_output(model):
... |
the-stack_106_22007 | # coding=utf-8
# Copyright 2021 The Tensor2Tensor Authors.
#
# 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... |
the-stack_106_22009 | import bz2
from collections import Counter
from contextlib import contextmanager
from datetime import datetime
from functools import wraps
import gzip
import operator
import os
from shutil import rmtree
import string
import tempfile
from typing import Any, Callable, ContextManager, List, Optional, Type, Union, cast
imp... |
the-stack_106_22012 | """
This example demonstrates the use of the progress reporting feature in RPC calls.
It (ab)uses the feature to download a file from the server (server.py) in chunks to a temporary
directory.
The file path parameter should be a path relative to the directory where the server is serving
files from.
"""
import logging... |
the-stack_106_22013 | # stdlib
from urllib.parse import urljoin
# 3rd Party
import requests
import json
# project
from checks import AgentCheck
SERVICE_CHECK_NAME = 'burrow.can_connect'
DEFAULT_BURROW_URI = 'http://localhost:8000'
CLUSTER_ENDPOINT = '/v3/kafka'
CONFIG_ENDPOINT = '/v3/config'
CHECK_TIMEOUT = 10
class BurrowCheck(Agen... |
the-stack_106_22014 | # -*- coding: utf-8 -*-
"""Deletion functions to supplement :mod:`pybel.struct.mutation.expansion`."""
import logging
import typing
from collections import Counter, defaultdict
from typing import Collection, Iterable, Optional, Tuple
import pybel.struct.mutation.expansion.neighborhood
from pybel import BELGraph
from... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.