text stringlengths 2 999k |
|---|
# Copyright 2019 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... |
# Copyright (c) 2014-2015, Ericsson AB. 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 notice, this
# list of conditions and th... |
from sys import argv
script, first, second, third = argv #these 4 things with commas are argv broken down into 4 variables or placeholders
#names or labels have been given to portions of the data (argv--argument variable which gets assigned to 4 variables instead of 1 holding all)
print("The script is called:", sc... |
# Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from dataclasses import dataclass
from typing import Optional, Tuple
from pants.backend.python.lint.bandit.subsystem import Bandit
from pants.backend.python.rules import pex
from pants.ba... |
"""
Argo Server API
You can get examples of requests and responses by using the CLI with `--gloglevel=9`, e.g. `argo list --gloglevel=9` # noqa: E501
The version of the OpenAPI document: VERSION
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from ... |
from __future__ import division
from itertools import tee
from operator import itemgetter
from collections import defaultdict
from math import log
def l(k, n, x):
# dunning's likelihood ratio with notation from
# http://nlp.stanford.edu/fsnlp/promo/colloc.pdf p162
return log(max(x, 1e-10)) * k + log(max(1... |
import os, time, fnmatch, socket, errno
from os.path import isdir, isfile, join, exists, splitext, basename, realpath
import whisper
from graphite.remote_storage import RemoteStore
from django.conf import settings
import libmc
import numpy as np
LOCAL_MEMCACHE = settings.LOCAL_MEMCACHE
EXPIRE_TIME = settings.EXPIRE_TI... |
from statistics import mean
from rb.complexity.complexity_index import ComplexityIndex
from rb.core.lang import Lang
from rb.core.text_element import TextElement
from rb.complexity.index_category import IndexCategory
from rb.complexity.measure_function import MeasureFunction
from rb.core.text_element_type import TextEl... |
# Copyright (c) 2013 Boris Pavlovic (boris@pavlovic.me).
# 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... |
import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Modules.Module import ModuleError, Module
class Concat(Module):
def __init__(self, axis, name=None):
super().__init__(name)
self.registerBlueprint(locals())
self.axis = axis
self.sections = None
def updateData(self, data):
self.s... |
import pytest
import torch
from transformers import AutoTokenizer
from typing import List, Dict
from pkg_resources import resource_filename
from nerblackbox.modules.ner_training.data_preprocessing.tools.csv_reader import (
CsvReader,
)
from nerblackbox.modules.ner_training.data_preprocessing.tools.input_example imp... |
#!/usr/bin/python
#coding:utf-8
# ***************************************************************
# 绘制正态分布曲线
# author: pruce
# email: 1756983926@qq.com
# date: 20180919
# ***************************************************************
import numpy as np
import matplotlib.mlab as mlab
import matplot... |
"""Classifiers for the Toxic Comment Classification Kaggle challenge, https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
To run locally:
python keras-trainer/model.py
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse... |
import numpy as np
import scipy.special
class NeuralNetwork:
def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate=0.1):
self.inodes = input_nodes
self.hnodes = hidden_nodes
self.onodes = output_nodes
self.lr = learning_rate
self.weights_ih = np.random.r... |
# Generated by Django 2.2.4 on 2019-08-08 11:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0002_auto_20190802_1553'),
]
operations = [
migrations.AddField(
model_name='partilha',
name='icone',
... |
# -*- coding: utf-8 -*-
"""Test the module can be imported."""
import unittest
import os
import yaml
from linkml_model_enrichment.importers.owl_import_engine import OwlImportEngine
from linkml.generators.yamlgen import YAMLGenerator
from tests import INPUT_DIR, OUTPUT_DIR
SHACL = os.path.join(INPUT_DIR, 'shacl.ofn')... |
# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
#
# SPDX-License-Identifier: MIT
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
from setuptools import setup, find_packages
# To use a consistent encoding
from ... |
#
# Copyright (C) Intel Corporation. All rights reserved.
# Licensed under the MIT License.
#
import os
import sys
import importlib
from writeUI import writeUI
from statistic import statistic
from callStack import callStack
from util import *
class core:
def __init__(self):
self.source = None
sel... |
import os
import re
import sys
import json
import shutil
import sqlite3
import tempfile
import datetime
from pprint import pprint
from copy import deepcopy
from collections import namedtuple
from subprocess import check_output
from multiprocessing import Process, cpu_count, Manager
import numpy as np
import mead
import... |
"""Llama View"""
__docformat__ = "numpy"
import logging
import os
from typing import List, Optional
import matplotlib.pyplot as plt
from matplotlib import ticker
from gamestonk_terminal import config_terminal as cfg
from gamestonk_terminal.config_plot import PLOT_DPI
from gamestonk_terminal.cryptocurrency.cryptocurr... |
# MIT licensed
# Copyright (c) 2013-2017 lilydjwg <lilydjwg@gmail.com>, et al.
from .simple_json import simple_json
HACKAGE_URL = 'https://hackage.haskell.org/package/%s/preferred.json'
def _version_from_json(data):
return data['normal-version'][0]
get_version, get_cacheable_conf = simple_json(
HACKAGE_URL,
'... |
from csympy.utilities import raises
from csympy import Integer
def test_integer():
i = Integer(5)
assert str(i) == "5"
def test_integer_long():
i = Integer(123434444444444444444)
assert str(i) == "123434444444444444444"
def test_integer_string():
raises(TypeError, lambda: Integer("133"))
def te... |
import clingine, random
class Star(clingine.shapes.Rect):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.char = random.choice(["*", ".", "o"])
def reset(self):
self.y = 0
self.x = random.randrange(self.window.width - 1)
def check_bounds(self):
if self.y > self.window.height:... |
import unittest
from commonroad.scenario.intersection import Intersection, IntersectionIncomingElement
class TestIntersection(unittest.TestCase):
def setUp(self) -> None:
self._incoming_id_1 = 2
lanelets_1 = {10, 11}
successors_right_1 = {12, 13}
successors_straight_1 = {14, 15}
... |
from flask import request
from flask_restful import Resource
from src.music.model import MusicManager
from src.music.parser import musicparser
class MusicController(Resource):
"""Music resource for restful api."""
def get(self):
manager = MusicManager()
response = manager.search()
ret... |
import numpy as np
import time
from openvino.inference_engine import IENetwork, IECore
import os
import cv2
import argparse
import sys
class Queue:
'''
Class for dealing with queues
'''
def __init__(self):
self.queues=[]
def add_queue(self, points):
self.queues.append(points)
... |
import random
def reverse(phrase):
return phrase [::-1]
def str_shuffle(phrase):
l = list(phrase)
random.shuffle(l)
shuffled_str = ''.join(l)
return shuffled_str |
import numpy as np
def Cal_IoU(GT_bbox, Pred_bbox):
'''
Args:
GT_bbox: the bounding box of the ground truth
Pred_bbox: the bounding box of the predicted
Returns:
IoU: Intersection over Union
'''
#1. Calculate the area of the intersecting area
ixmin = max(GT_bbox[0], Pre... |
class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
subsets = [[]]
while len(nums) > 0:
new_element = nums.pop()
subsets += [subset + [new_element] for subset in subsets]
return subsets
|
# 开发环境映射
import os
import sys
# 数据库参数
DATABASE = {
'product':
{
'ENGINE': 'mysql',
# 'HOST': '192.168.2.222',
'HOST': '',
'PASSWORD': '',
'USER': '',
'PORT': '3306',
'NAME': '',
"CHARSET": "utf8"
},
... |
''' Evaluation of agent trajectories '''
import json
import os
import sys
sys.path.append('build')
from collections import defaultdict
import networkx as nx
import numpy as np
import pprint
pp = pprint.PrettyPrinter(indent=4)
from env import R2RBatch
from utils import load_datasets, load_nav_graphs
from agent import ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
'gino',
'aiohttp',
]
setup_... |
from nose.tools import eq_
from ..diff_engine import DiffEngine
def test_from_config():
doc = {
'diff_engines': {
'segment_matcher':{
'class': "deltas.algorithms.SegmentMatcher",
'segmenter': "western_psw",
'tokenizer': "wikitext_split"
... |
import subprocess
import typer
from typer.testing import CliRunner
from parameter_types.datetime import tutorial001 as mod
runner = CliRunner()
app = typer.Typer()
app.command()(mod.main)
def test_help():
result = runner.invoke(app, ["--help"])
assert result.exit_code == 0
assert "[%Y-%m-%d|%Y-%m-%dT%... |
#!/usr/bin/env python3
import unittest
import torch
from gpytorch.lazy import RootLazyTensor
from gpytorch.test.lazy_tensor_test_case import LazyTensorTestCase
class TestRootLazyTensor(LazyTensorTestCase, unittest.TestCase):
seed = 0
should_test_sample = True
should_call_lanczos = False
should_call... |
#! /usr/bin/env python
# -*- encoding: utf-8 -*-
import logging
import pika
import json
LOG_FORMAT = ('%(levelname) -10s %(asctime)s %(name) -30s %(funcName) '
'-35s %(lineno) -5d: %(message)s')
LOGGER = logging.getLogger(__name__)
class AsyncPublisher(object):
"""This is an example publisher that... |
# coding: utf-8
"""
Clever API
The Clever API # noqa: E501
OpenAPI spec version: 2.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from clever.models.teacher import Teacher # noqa: F401,E501
class TeacherObject(obj... |
#!/usr/bin/env python
##############################################################################
# Copyright 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
################################... |
# %%
from tensorflow.keras.callbacks import LearningRateScheduler
from tensorflow.keras.preprocessing.image import random_rotation, random_shear, random_zoom
from sklearn.metrics import confusion_matrix, classification_report
from tensorflow.keras.applications.efficientnet import preprocess_input
from tensorflow.keras.... |
import ijson
import pandas
import numpy as np
from scipy.stats import norm, expon
import matplotlib.pyplot as plt
def main():
with open('BTCUSDT.json', 'r') as f:
trades = ijson.items(f, 'item')
previous_price = None
previous_time = None
changes = []
interarrivals = []
volumes = []
for trade in tr... |
# -*- coding: utf-8 -*-
from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListTy... |
# 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 u... |
#
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# This software is distributed under the terms of the MIT License.
#
# (@@@@%%%%%%%%%&@@&.
# /%&&%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%&@@(
# *@&%%%%%%%%%&... |
from baldwin.src.target import Target
with Target() as target:
target.reset()
|
""" Defines the settings for ConfD/CSP based unicon connections """
__author__ = "Dave Wapstra <dwapstra@cisco.com>"
from ..settings import ConfdSettings
class CspSettings(ConfdSettings):
"""" Generic platform settings """
def __init__(self):
""" initialize
"""
super().__init__()
... |
from AgroMetEquations.convert import (
celsius2kelvin,
kelvin2celsius,
deg2rad,
rad2deg,
watt2mj15min,
dailyto15min,
dms2dd,
dd2dms
)
from AgroMetEquations.fao import (
atm_pressure,
avp_from_temperature_min,
avp_from_rhmin_rhmax,
avp_from_rhmax,
avp_from_rhmean,
... |
"""
A module to contain various decorators used to build readable and useful code.
"""
__all__ = [
"angular_freq_to_hz",
"check_relativistic",
"check_values",
"check_units",
"preserve_signature",
"validate_quantities",
"CheckBase",
"CheckUnits",
"CheckValues",
"ValidateQuantities... |
from crownstone_core.packets.serviceDataParsers.containers.elements.AdvTypes import AdvType
class AdvExternalErrorPacket:
def __init__(self):
self.type = AdvType.EXTERNAL_ERROR
self.crownstoneId = None
self.errorsBitmask = None
self.errorTimestamp ... |
from ._datajoint_core import ffi
from .datajoint_core_lib import dj_core
def datajoint_core_assert_success(error_code):
if error_code != dj_core.ErrorCode_Success:
error_message_raw = dj_core.datajoint_core_get_last_error_message()
if error_message_raw == ffi.NULL:
raise AssertionError... |
from contextlib import contextmanager
import django
from django.contrib.auth import BACKEND_SESSION_KEY, get_user_model, load_backend, login
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.db import transaction
from django.http import HttpResponseBadRequest, HttpResponseRedir... |
import json
import numpy as np
from sanic import Sanic
from sanic import response
from geojson import Polygon
from shapely import geometry as geo
import threading
app = Sanic("PopulationDataInquireServer")
def fetchPopulationFromFile(lon, lat):
global mutex, datafile
x = int((lat + 90) * 5)
y = int((lon ... |
from xml.sax.saxutils import escape, quoteattr
def build_tbx_v2_file(term_translations, locale):
"""
Generates contents of the TBX 2008 (v2) file (TBX-Default dialect):
TBX files could contain large amount of entries and it's impossible to render all the data with
django templates. Rendering a string... |
# Copyright 2009-present MongoDB, 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 wr... |
"""Helper methods for various modules."""
from __future__ import annotations
import asyncio
from datetime import datetime, timedelta
import enum
from functools import wraps
import random
import re
import socket
import string
import threading
from types import MappingProxyType
from typing import Any, Callable, Coroutin... |
from __future__ import division
import gzip
try: import cPickle as pickle
except: import pickle
def save(fname, var_list, source_dict):
var_list = [var.strip() for var in var_list.split() if len(var.strip())>0]
fo = gzip.GzipFile(fname, 'wb')
pickle.dump(var_list, fo)
for var in var_list:
pickl... |
#!/usr/bin/env python
#coding: utf-8
import gettext
# 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 ... |
import os.path as osp
from copy import deepcopy
from typing import Optional
import numpy as np
from PIL import Image
import torch
from torchvision.datasets import CIFAR10, STL10
import cvpods
from cvpods.data.base_dataset import BaseDataset
from cvpods.data.registry import DATASETS, PATH_ROUTES
_PREDEFINED_SPLITS_C... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import ... |
import boto3
import json
import os
def lambda_handler(event, context):
s3 = boto3.resource('s3')
bucket_name = event['Records'][0]['s3']['bucket']['name']
file_key = event['Records'][0]['s3']['object']['key']
(request_id, plate_name) = get_panorama_request_and_parse(s3, bucket_name, file_key)
send... |
#!/usr/bin/env python3
# Copyright (c) 2015-2016 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.mininode import *
from test_framework.test_framework import RobbieconTestFramework
fr... |
import PIL
import glob
from pathlib import Path
import os
def crop_image_from_thang_to_size(thang, size):
lst_imgs = [i for i in glob.glob("img/{}/*.*".format(thang))]
# It creates a folder called ltl if does't exist
folder = "crp\\{}".format(thang)
if not Path(folder).exists():
#if folder not in... |
# Copyright (C) GRyCAP - I3M - UPV
#
# 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... |
# Find the divisors!
# Create a function named divisors/Divisors that takes an integer n > 1 and returns an array with all of the integer's
# divisors(except for 1 and the number itself), from smallest to largest. If the number is prime return the string
# '(integer) is prime' (null in C#) (use Either String a in Hask... |
#
# 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 us... |
# -*- coding: utf-8 -*-
import datetime
import hashlib
import json
import os
import urlparse
import uuid
from operator import attrgetter
from django.conf import settings
from django.core.cache import cache
from django.core.exceptions import ObjectDoesNotExist
from django.core.files.storage import default_storage as st... |
#!/usr/bin/env python
# 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
#
# Authors:
# - Paul Nilsson, paul.nilsson@cern.ch, 2019-2022
from __future_... |
from unittest import mock
import pytest
from airflow.exceptions import AirflowException, TaskDeferred
from astronomer.providers.amazon.aws.operators.batch import BatchOperatorAsync
from astronomer.providers.amazon.aws.triggers.batch import BatchOperatorTrigger
JOB_NAME = "51455483-c62c-48ac-9b88-53a6a725baa3"
JOB_ID... |
# -*- coding: utf-8 -*-
"""
Project: My_Test_Project
Creator: bytedance
Create time: 2021-06-22 10:33
IDE: PyCharm
Introduction:
"""
|
#!/usr/bin/env python3
# Copyright (c) 2015-2017 The DigiByte Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test BIP66 (DER SIG).
Test that the DERSIG soft-fork activates at (regtest) height 1251.
"""
from te... |
# Generated by Django 3.2.7 on 2021-09-06 06:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('projects', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Upload',
fields=[
('id', ... |
import datetime
import numpy as np
import time
from transformations import rotation_from_matrix
import sklearn.metrics as metrics
import pickle
import os
from registration.registration import initializePointCoud, globalRegistration, selectFunction, refine_registration, makeMatchesSet
import math
# from registration i... |
# This Python file uses the following encoding: utf-8
"""autogenerated by genpy from cartographer_ros_msgs/StatusCode.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class StatusCode(genpy.Message):
_md5sum = "90c460dc6da71af1a19af661... |
#!/usr/bin/env python3
# coding: utf-8
import os
import tempfile
import pytest
from wellcomeml.io import read_jsonl, write_jsonl
from .common import TEST_JSONL
@pytest.fixture(scope="module")
def temp_file():
temp_file, temp_file_name = tempfile.mkstemp()
return temp_file_name
def test_read_jsonl():
... |
from typing import List
import numpy as np
import scipy.linalg
def form_L(B312: List[np.ndarray], k: int, verbose: bool) -> np.ndarray:
''' Return L, R3 '''
L = np.empty((k, k))
# step 1: compute R3 that diagonalizes B312[0]
L[0], R3 = scipy.linalg.eig(B312[0])
R3 = R3.real
# step 2: ob... |
import os
import pytest
@pytest.fixture
def expected_content(request):
def _expected_content(filename):
module_path = request.module.__file__
test_directory = os.path.split(module_path)[0]
module_filename_with_extension = os.path.basename(module_path)
module_filename = os.path.spl... |
import math
def encode(msg):
msg = _cleanse(msg)
sqrsz = int(math.sqrt(len(msg)))
if sqrsz * sqrsz < len(msg):
sqrsz += 1
cols = [msg[i1::sqrsz] for i1 in range(sqrsz)]
cols_str = ''.join(cols)
return ' '.join(cols_str[i1:i1 + 5] for i1 in range(0, len(cols_str), 5))
def decode(ciph... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from subprocess import check_output
from sys import argv, exit
def com2asm(comfilename):
"""Reads a com file and returns a map of label addresses and instructions"""
disasm = str(check_output(["ndisasm", "-b", "16", "-p", "intel", comfilename]), encoding="utf-8")
... |
"""Provides the repository macro to import LLVM."""
load("//third_party:repo.bzl", "tf_http_archive")
def repo(name):
"""Imports LLVM."""
LLVM_COMMIT = "48d868493fa74025e7768afacdbbbd3ea9c82468"
LLVM_SHA256 = "542019be2fa6734121b3d3b562f10b2e74972c1e99c8d7108ab9b470ded288c4"
tf_http_archive(
... |
from rack import Rack
import time
def results(tiles, dd, t, rows):
rack = Rack(tiles, dd, t)
cutoffs = {0: 15,
1: 10,
2: 7,
3: 0}
time_0 = time.time()
if rack.num_letters >= cutoffs[min(rack.num_blanks, 3)]:
res = rack.frequency_solve()
s... |
import sys
from os.path import dirname, abspath
sys.path.append(dirname(dirname(abspath(__file__))))
from SCZ_RNAseq.syn4590909.utils import *
from numpy import interp
from sklearn.metrics import roc_curve, auc
from sklearn.model_selection import StratifiedKFold
path="../../data/SCZ_RNAseq/output/syn4590909/"
datase... |
from __future__ import print_function
import sheets
import metrics
import challenges
import upload
SHEET_ID = '18VXeazbKykDuyu4RDabgq9y8Ox4lm_UnQqSWC8aMWaw'
def main():
"""
Note: new metrics should be in the following form:
{
"name1": {"metric1": 1, "metric2": 134, "metric3": 11}
"name2": {"m... |
import math
import torch
from torch.distributions import StudentT
from distributions.diagonal_normal_wishart import NormalDiagonalWishart
from utils.func_utils import mvdigamma
class NormalWishartPrior(NormalDiagonalWishart):
r"""
A Normal-Wishart prior distribution to emulate ensemble
of Gaussians
"... |
# 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, ... |
#!/usr/local/bin/python3
import datetime
import json
import os.path
import pickle
import re
from . import config
from .employees import Employee
from . import cloudability
DL_OWNER_CACHE_NAME = 'dl_owners.pickle'
def match_type_prefix(prefix):
return lambda i: i['nodeType'].startswith(prefix)
def match_recomm... |
from __future__ import division
from __future__ import absolute_import
import six
__copyright__ = "Copyright (C) 2012 Andreas Kloeckner"
__license__ = """
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 S... |
#!/usr/bin/env python
import subprocess
# returns: tuple (type, error, op, file, line)
#
#+-------------------------- FPChecker Warning Report --------------------------+
# Error : Underflow
# Operation : ADD ... |
''' comp_modal_nrjflux.py
compute horizontal flux of vertically integrated energy
and energy density ;
read per chunk, compute every modes at the same time per chunk and store in mode-chunked
files (in addition to x-chunked and y-chunked: small files strategy)
from comp_modal_nrjflux_chunked.py ; NJAL April 2018 '''... |
# TODO: Add stub methods here for diffprivlib models |
# --- Input file to test the particle scraper and the Python wrappers
# --- to access the buffer of scraped particles.
from pywarpx import picmi
##########################
# numerics parameters
##########################
# --- Number of time steps
max_steps = 60
diagnostic_intervals = 20
# --- Grid
nx = 64
ny = 64
... |
# Python
import unittest
from unittest.mock import Mock
# ATS
from pyats.topology import Device
from pyats.topology import loader
# Metaparser
from genie.metaparser.util.exceptions import SchemaEmptyParserError,\
SchemaMissingKeyError
# iosxe show_snmp
from genie.libs.pa... |
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import kaiming_init, normal_init
from torch.nn.modules.utils import _pair
import torch.nn.functional as F
from mmdet.core import force_fp32
from ..builder import build_loss
from ..registry import HEADS
from ..utils import ConvModule
import mmcv
@HEA... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# pylint:disable=bad-whitespace
# pylint:disable=line-too-long
# pylint:disable=too-many-lines
# pylint:disable=invalid-name
# #########################################################
#
# ************** !! WARNING !! ***************
# ******* THIS FILE WAS A... |
"""
byceps.services.shop.order.email.service
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Notification e-mails about shop orders
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import It... |
"""
Container set for groups and parameters
"""
class Param(object):
allowed_keys = ('CMD_OPTION','USAGE','PROMPT','OPTION_LIST',
'VALIDATION_FUNC','DEFAULT_VALUE','MASK_INPUT','LOOSE_VALIDATION',
'CONF_NAME','USE_DEFAULT','NEED_CONFIRM','CONDITION')
def __init__(self, a... |
try:
import infomap as imp
except ModuleNotFoundError:
imp = None
try:
from wurlitzer import pipes
except ModuleNotFoundError:
pipes = None
try:
import igraph as ig
except ModuleNotFoundError:
ig = None
try:
import leidenalg
except ModuleNotFoundError:
leidenalg = None
try:
impor... |
from controller import Controller
controller = Controller()
controller.run_spider(verbose=False, sample=0)
|
from pathlib import Path
import xarray
KEY = "imgs" # handle to write inside the output file
CLVL = 1 # ZIP compression level
def writeframes(outfn: Path, img: xarray.DataArray):
"""writes image stack to disk"""
assert img.ndim == 3
if outfn is None:
return
outfn = Path(outfn).expanduser(... |
import torch
"""
A fully-connected ReLU network with one hidden layer and no biases, trained to
predict y from x by minimizing squared Euclidean distance.
This implementation computes the forward pass using operations on PyTorch
Tensors, and uses PyTorch autograd to compute gradients.
In this implementation we imple... |
fname = input('Enter the file name: ')
fhand = open(fname)
for line in fhand:
print(line.upper())
|
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, xavier_init
import torch
import numpy as np
from mmdet.ops import NonLocal2D
from ..builder import NECKS
@NECKS.register_module
class FPNRelation(nn.Module):
"""by weighting bottom-up and top-down process outputs
(bottom-up... |
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