input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
<reponame>jverce/tensorflow
# 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
#
# Un... | |
work with this Op.
"""
if workmem is not None:
if algo is not None:
raise ValueError("You can't use both algo and workmem")
warnings.warn("workmem is deprecated, use algo instead", stacklevel=2)
algo = workmem
fgraph = getattr(img, 'fgraph', None) or getattr(kerns, 'fgraph', None)
ctx_name = infer_context_name... | |
c_1.astype(int)
x11,y11,x12,y12=get_average_line(c_0,img)
x21,y21,x22,y22=get_average_line(c_1,img)
final_avg_lanes = np.zeros_like(img)
cv2.line(final_avg_lanes,(int(x11),int(y11)),(int(x12),int(y12)),(255,255,255),1)
cv2.line(final_avg_lanes,(int(x21),int(y21)),(int(x22),int(y22)),(255,255,255),1)
... | |
json=_json,
)
request.url = self._client.format_url(request.url)
pipeline_response = await self._client._pipeline.run( # pylint: disable=protected-access
request, stream=False, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [202]:
map_error(status_code=response.status_cod... | |
Requires our :ref:`mypy plugin <mypy-plugins>`.
Read more about async and sync functions:
https://journal.stuffwithstuff.com/2015/02/01/what-color-is-your-function/
"""
@wraps(function)
async def decorator(*args, **kwargs):
return function(*args, **kwargs)
return decorator
# FutureResult
# ============
@fin... | |
from bisect import bisect_right, bisect_left
from collections import OrderedDict
from enum import IntEnum, Enum
import math
from math import log10, floor
_MINIMUM_R_VALUE = 1e-200
class RenardSeriesKey(Enum):
"""An enumeration of possible Renard series identifiers.
"""
R5 = (5, 0.01)
R10 = (10, 0.01)
R20 = (20... | |
import os
from copy import copy, deepcopy
import dateutil.parser
import pystac
from pystac import (STACError, STACObjectType)
from pystac.link import Link, LinkType
from pystac.stac_object import STACObject
from pystac.utils import (is_absolute_href, make_absolute_href, make_relative_href, datetime_to_str,
str_to_da... | |
padding otherwise.
Static padding is necessary for ONNX exporting of models. """
if image_size is None:
return Conv2dDynamicSamePadding
else:
return partial(Conv2dStaticSamePadding, image_size=image_size)
class Conv2dDynamicSamePadding(nn.Conv2d):
""" 2D Convolutions like TensorFlow, for a dynamic imag... | |
null=True, max_digits=5, decimal_places=3)
fuel_price = models.DecimalField(_('price'), null=True, max_digits=15, decimal_places=2)
#-------------- Part ---------------
part_chg_km = models.IntegerField(_('replacement interval, km'), null=True)
part_chg_mo = models.IntegerField(_('replacement interval, months'), nu... | |
# End to end happy path to test the minimum set of Reefer Container Shipment reference application components
###################
##### IMPORTS #####
###################
import unittest, os, json, time, requests, random
from kafka.KcProducer import KafkaProducer
from kafka.KcConsumer import KafkaConsumer
############... | |
<filename>viroconcom/plot.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Plots datasets, model fits and contour coordinates.
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
__all__ = ["plot_sample", "plot_marginal_fit", "plot_dependence_functions",
"plot_contour", "Sa... | |
"LetterSpace": "\uF754",
"LibraSign": "\u264E",
"LightBulb": "\uF723",
"Limit": "\uF438",
"LineSeparator": "\u2028",
"LongDash": "\u2014",
"LongEqual": "\uF7D9",
"LongLeftArrow": "\u27F5",
"LongLeftRightArrow": "\u27F7",
"LongRightArrow": "\u27F6",
"LowerLeftArrow": "\u2199",
"LowerRightArrow": "\u2198",
"M... | |
#!/usr/bin/env python
# coding: utf-8
# # Regularization
#
# Welcome to the second assignment of this week. Deep Learning models have so much flexibility and capacity that **overfitting can be a serious problem**, if the training dataset is not big enough. Sure it does well on the training set, but the learned networ... | |
# Copyright (C) 2020 GreenWaves Technologies, SAS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This progra... | |
# Center crop image
width, height = img.size
startx = width // 2 - (224 // 2)
starty = height // 2 - (224 // 2)
img = np.asarray(img).reshape(height, width, 3)
img = img[starty:starty + 224, startx:startx + 224]
assert img.shape[0] == 224 and img.shape[1] == 224, (img.shape, height, width)
# Save im... | |
<gh_stars>0
# coding: utf-8
"""
App Center Client
Microsoft Visual Studio App Center API # noqa: E501
OpenAPI spec version: preview
Contact: <EMAIL>
Project Repository: https://github.com/b3nab/appcenter-sdks
"""
import pprint
import re # noqa: F401
import six
class ReasonStackFrame(object):
"""NOTE: This ... | |
#!/usr/bin/env python
from __future__ import print_function
import os
from os.path import splitext, join, isfile, isdir, basename
import argparse
import numpy as np
# from scipy import misc, ndimage
import tensorflow.keras.backend as K
from tensorflow.keras.models import model_from_json, load_model
import tensorflow as... | |
<gh_stars>0
from flask_restplus import Namespace, fields
import socket
import time
from datetime import datetime, date, time, timedelta
from flask import jsonify, request
from database import DB
from bson import json_util, ObjectId
from apis.utils.common import *
from apis.libraries.send_mail import Send_mail
import re... | |
del rule_schema['rule']['sources']
# Mandatory values of a source ( NB: source is an optional value )
elif rule_source_value != '':
rule_schema['rule']['sources']['source']['value'] = rule_source_value
rule_schema['rule']['sources']['source']['type'] = API_TYPES[rule_source_type]
# Optional values of a source ( if... | |
<gh_stars>1-10
# epydoc -- Command line interface
#
# Copyright (C) 2005 <NAME>
# Author: <NAME> <<EMAIL>>
# URL: <http://epydoc.sf.net>
#
# $Id: cli.py 1196 2006-04-09 18:15:55Z edloper $
"""
Command-line interface for epydoc. Abbreviated Usage::
epydoc [options] NAMES...
NAMES... The Python modules to document.... | |
signature(self._predictor)
model_param, *_ = predictor_sig.parameters.values()
model_param = model_param.replace(name="model_object")
# assume that reader_return_type is a dict with only a single entry
[(_, data_arg_type)] = self._dataset.reader_return_type.items()
data_param = Parameter("features", kind=Paramete... | |
<filename>plot.py<gh_stars>0
import itertools
import os
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import pyplot as plt
from constants import (LV, Darzacq2007, L, Tantale2016, colors_additivity,
figures_folder, gene_long, l, markers_additivity)
from support import (J_over_k_... | |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ### ###... | |
from ...torch_core import *
from ...layers import *
from .awd_lstm import RNNDropout, LinearDecoder, SequentialRNN
__all__ = ['Activation', 'PositionalEncoding', 'GeLU', 'Swish', 'feed_forward', 'MultiHeadAttention', 'MultiHeadRelativeAttention',
'DecoderLayer', 'Transformer', 'TransformerXL', 'tfmer_lm_config', 'tfm... | |
import logging
from collections import defaultdict, namedtuple
from datetime import datetime
from threading import RLock
from typing import TYPE_CHECKING
from networkx import DiGraph, single_source_shortest_path
from sqlalchemy import or_
from sqlalchemy.orm import aliased
from sqlalchemy.sql import label, literal
fr... | |
rhs
def test_setitem_listlike_indexer_duplicate_columns(self):
# GH#38604
df = DataFrame([[1, 2, 3]], columns=["a", "b", "b"])
rhs = DataFrame([[10, 11, 12]], columns=["a", "b", "b"])
df[["a", "b"]] = rhs
expected = DataFrame([[10, 11, 12]], columns=["a", "b", "b"])
tm.assert_frame_equal(df, expected)
df[["c"... | |
<filename>src/covid19sim/plotting/extract_tracker_metrics.py
"""
Extracts metrics from tracker
"""
import numpy as np
import datetime
from covid19sim.utils.constants import POSITIVE_TEST_RESULT, NEGATIVE_TEST_RESULT
def SEIR_Map(state):
"""
Encodes the literal SEIR state to an integer.
Args:
(str): State of the ... | |
result) -> bool:
return isinstance(result, DataFrame) and result.columns.equals(
self._obj_with_exclusions.columns
)
def _define_paths(self, func, *args, **kwargs):
if isinstance(func, str):
fast_path = lambda group: getattr(group, func)(*args, **kwargs)
slow_path = lambda group: group.apply(
lambda x: getattr... | |
<filename>scripts/tf_cnn_benchmarks/benchmark_cnn_test.py
# Copyright 2017 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.o... | |
import configparser
import os
import random
import json
import aiohttp
import wikipedia as wiki
import urbandictionary as ud
import guilded
import pymongo
from pymongo import MongoClient
import wikipediahelper
import lowerutils
config = configparser.ConfigParser()
config.read('config.ini')
pre = config['GUILDED']... | |
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | |
<reponame>vishalbelsare/epymetheus-1
import abc
import json
from functools import partial
from time import time
from typing import TypeVar
import numpy as np
import pandas as pd
from .. import ts
from .._utils import print_if_verbose
from .._utils import to_json
from ..exceptions import NoTradeWarning
from ..exceptio... | |
for the polyline
# folium takes coords in lat,lon but geopandas provides them in lon,lat
# so we have to flip them around
locations = list([(lat, lon) for lon, lat in edge['geometry'].coords])
# if popup_attribute is None, then create no pop-up
if popup_attribute is None:
popup = None
else:
# folium doesn't in... | |
str(signalDict['dimensions'])+'\n'
gamText += ' NumberOfElements = ' + \
str(signalDict['elements'])+'\n'
gamText += ' Type = '+signalDict['type']+'\n'
gamText += ' }\n'
gamText += ' }\n'
gamText += ' OutputSignals = {\n'
for signalDict in inputSignals:
gamText += ' '+signalDict['name']+' = {\n'
gamText += ' D... | |
split_oris is not False # set to boolean
if (exp_v_unexp + (len(quantpar.qu_idx) > 1) + ("half" in class_var)
+ split_oris) > 1:
raise ValueError("Cannot combine any of the following: separating "
"quartiles, exp_v_unexp, half comparisons, multiple Gabor frame "
"orientation comparisons.")
elif len(quantpar.qu_i... | |
<reponame>LittleBitProgrammer/myUniversity<filename>my_university_api/application/api/secretary/database_functions.py
# This file contain all database functions of the secretary
####################################################################
# import
###############################################################... | |
str(i))(transformation_params)
if i == 0 or i == 1 or i == 2:
y_max, y_min = 0.201, -0.201
Pasta_Para = Lambda( lambda x: tf.expand_dims( (y_max - y_min) * x + y_min, 1 ),
name = 'Mapping_' + str(i))(out)
branch_outputs.append(Pasta_Para)
elif i == 3 or i == 4 or i == 5:
y_max, y_min = 20.00 * 0.01745, -20.00... | |
"total": {"type": "string"},
"limit": {"type": "string"},
"offset": {"type": "string"},
"order_by": {"type": "string"},
},
}
@property
def post_schema_output(self):
"""
JSON Schema to validate POST request body. Abstract.
Every schema must be a dict.
:return: dict
"""
return {}
@property
def post_sch... | |
'''
TODO: make dragging cursor correct
'''
import collections
import random
from common import *
from Draggable import *
from Area import *
from Deck import *
from TokenBank import *
from CardsTileView import *
from DeckManipulator import *
from ThreatDial import *
from SetupDialog import *
from JourneyLogger import *
... | |
<gh_stars>10-100
from __future__ import generators
from time import localtime, sleep
import os, Essbase, wmi,sys
from optparse import OptionParser
import win32serviceutil
import random
import zlib
from win32wnet import WNetAddConnection2, WNetCancelConnection2, error
import wmi
listTemp=[]
listComplete=... | |
# Copyright 2018 German Aerospace Center (DLR)
#
# 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... | |
<reponame>Orionisxoxo/Integracja_aplikacji_2
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2013-2017 <NAME> <<EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, e... | |
the last layer has a Parabola activation
use_area_heuristic: c_bool
whether to use area heuristic
Returns
-------
None
"""
try:
ffn_handle_last_parabola_layer_no_alloc_c = fppoly_api.ffn_handle_last_parabola_layer_no_alloc
ffn_handle_last_parabola_layer_no_alloc_c.restype = None
ffn_handle_last_parabola_l... | |
<reponame>jochenparm/moler
# -*- coding: utf-8 -*-
"""
asyncio_in_thread_runner_with_raw_functions.py
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A fully-functional connection-observer using configured concurrency variant.
This is Layer_3 example:
- shows configuration phase and usage phase
- configure named conn... | |
# Enter a parse tree produced by SystemVerilogParser#specparam_declaration.
def enterSpecparam_declaration(self, ctx:SystemVerilogParser.Specparam_declarationContext):
pass
# Exit a parse tree produced by SystemVerilogParser#specparam_declaration.
def exitSpecparam_declaration(self, ctx:SystemVerilogParser.Sp... | |
<reponame>newbooks/SAMPL7<gh_stars>10-100
#!/usr/bin/env python
# Credit:
# This adapted by <NAME> from <NAME>'s file of the same name which he wrote for SAMPL6
# at https://github.com/samplchallenges/SAMPL6/blob/master/host_guest/Analysis/ExperimentalMeasurements/generate_tables.py
# He gets credit for anything good ... | |
'''
'''
import os
import sys
import h5py
import numpy as np
from scipy.stats import chi2
np.seterr(divide='ignore', invalid='ignore')
# -- abcpmc --
import abcpmc
from abcpmc import mpi_util
# -- galpopfm --
from . import dustfm as dustFM
from . import measure_obs as measureObs
dat_dir = os.environ['GALPOPFM_... | |
|= ww
for tt in ff:
vv -= und(tt)
return vv
def fund(ff):
und = transformsUnderlying
vv = set()
for tt in ff:
vv |= und(tt)
for (aa,ww) in ff:
vv -= ww
return vv
def depends(ff,vv):
und = transformsUnderlying
dd = dict([(v,(xx,ww)) for (xx,ww) in ff for v in ww])
yy = set(dd.keys())
def ... | |
# coding: utf-8
"""
Jamf Pro API
## Overview This is a sample Jamf Pro server which allows for usage without any authentication. The Jamf Pro environment which supports the Try it Out functionality does not run the current beta version of Jamf Pro, thus any newly added endpoints will result in an error and should b... | |
<gh_stars>0
print("""
▄████▄ ▄▄▄ ██▒ █▓█████ ██▀███ ███▄ █ ▄▄▄
▒██▀ ▀█ ▒████▄▓██░ █▓█ ▀▓██ ▒ ██▒██ ▀█ █▒████▄
▒▓█ ▄▒██ ▀█▓██ █▒▒███ ▓██ ░▄█ ▓██ ▀█ ██▒██ ▀█▄
▒▓▓▄ ▄██░██▄▄▄▄█▒██ █░▒▓█ ▄▒██▀▀█▄ ▓██▒ ▐▌██░██▄▄▄▄██
▒ ▓███▀ ░▓█ ▓██▒▀█░ ░▒████░██▓ ▒██▒██░ ▓██░▓█ ▓██▒
░ ░▒ ▒ ░▒▒ ▓▒█░ ▐░ ░░ ▒░ ░ ▒▓ ░▒▓░ ▒░ ▒ ▒ ▒▒ ▓▒█░
... | |
"""
Common utility functions and classes adpated from
https://github.com/matterport/Mask_RCNN/blob/master/mrcnn/utils.py
Mask R-CNN
The MIT License (MIT)
Copyright (c) 2017 Matterport, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files... | |
<filename>crates/iks-to-fks/convert-ik-to-fk.py
# The goal of this script is to convert an IK rig into an FK rig.
# We do this by creating a copy of your mesh and new FK rig for that mesh
#
# We do this by first duplicating our original rig and removing
# all of the IKs and constraints from our duplicate.
#
# We then b... | |
<filename>mindfirl/mindfirl.py
import flask
from flask import Flask, render_template, redirect, url_for, session, jsonify, request, send_from_directory
from flask_login import LoginManager, login_user, logout_user, login_required, current_user
import redis
from wtforms.fields import SelectField, FileField, FloatField, ... | |
it out.
self.assertEqual(egress_message_annotations['work'], 'hard')
self.assertEqual(egress_message_annotations['x-opt-qd.trace'], ['0/QDR.1', '0/QDR'])
M1.stop()
M2.stop()
# Dont send any pre-existing ingress or trace annotations. Make sure that there are no outgoing message annotations
# stripAnnotations pro... | |
"""
s = """<?xml version="1.0"?>
<Map>
<Stylesheet>
Map { map-bgcolor: #fff; }
Layer
{
polygon-fill: #999;
line-color: #fff;
line-width: 1;
outline-color: #000;
outline-width: 1;
}
Layer name
{
text-face-name: 'Comic Sans';
text-size: 14;
text-fill: #f90;
}
</Stylesheet>
<Datasource name="templa... | |
the second dimension of logits.
Returns:
Routing probabilities for each pair of capsules. Same shape as logits.
"""
# leak is a zero matrix with same shape as logits except dim(2) = 1 because
# of the reduce_sum.
leak = tf.zeros_like(logits, optimize=True)
leak = tf.reduce_sum(leak, axis=2, keep_dims=True)
le... | |
# coding: utf-8
"""
Galaxy 3.2 API (wip)
Galaxy 3.2 API (wip) # noqa: E501
The version of the OpenAPI document: 1.2.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
class Namespace(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: h... | |
<filename>paraschut/executor.py
# -*- coding: utf-8 -*-
"""
PARASCHUT: parallel job scheduling utils.
see also: README.md, example.ipynb
this submodule handles via a unified API the execution of jobs
on different systems, such as: PBS cluster, local multi-CPU
machine, or submission to a script file .
@author: <NAME... | |
= _io
self._parent = _parent
self._root = _root if _root else self
self._debug = collections.defaultdict(dict)
self._read()
def _read(self):
self._debug['sound_id']['start'] = self._io.pos()
self.sound_id = self._io.read_u2be()
self._debug['sound_id']['end'] = self._io.pos()
self._debug['volume']['start'] = s... | |
import numpy as np
import random
import json
import h5py
from patch_library import PatchLibrary
from glob import glob
import matplotlib.pyplot as plt
from skimage import io, color, img_as_float
from skimage.exposure import adjust_gamma
from skimage.segmentation import mark_boundaries
from sklearn.feature_extraction.ima... | |
import pytest
import salt.modules.useradd as useradd
from salt.exceptions import CommandExecutionError
from tests.support.mock import MagicMock, patch
@pytest.fixture
def configure_loader_modules():
return {
useradd: {
"__grains__": {
"kernel": "Linux",
"osarch": "x86_64",
"os": "CentOS",
"os_family": "RedHat"... | |
# -*- coding: iso-8859-15 -*-
#
# This software was written by <NAME> (<NAME>)
# Copyright <NAME>
# All rights reserved
# This software is licenced under a 3-clause BSD style license
#
#Redistribution and use in source and binary forms, with or without
#modification, are permitted provided that the following condit... | |
<gh_stars>1-10
# type: ignore
from copy import deepcopy
from typing import Any, Dict, List, Optional, Tuple
from urllib.parse import urljoin
import urllib3
import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
# disable insecure warnings
urllib3.disable_warnings()
DEFAU... | |
. delegation_set )
oooO0oOOOO0 = oo0ooo . is_ms_peer_entry ( )
oo0ooo . map_referrals_sent += 1
if 25 - 25: o0oOOo0O0Ooo % o0oOOo0O0Ooo - OoooooooOO . i1IIi
if 10 - 10: OoO0O00 % iIii1I11I1II1 * OoOoOO00 / i11iIiiIii - I1IiiI . O0
if 2 - 2: II111iiii
if 13 - 13: Ii1I % i11iIiiIii
if 3 - 3: ooOoO0o % OoOoOO00 * I... | |
perform leiden clustering on the pretrained z to get clusters
mu : np.array, optional
\([d,k]\) The value of initial \(\\mu\).
log_pi : np.array, optional
\([1,K]\) The value of initial \(\\log(\\pi)\).
res:
The resolution of leiden clustering, which is a parameter value controlling the coarseness of the c... | |
33-67.
E = (Pk * np.log(1 / Pk)).sum()
MIT = np.nansum(ti[:, None] * pik * np.log(pik / Pk)) / (T * E)
return MIT, core_data, groups
class MultiInformationTheory:
"""
Calculation of Multigroup Information Theory index
Parameters
----------
data : a pandas DataFrame
groups : list of strings.
The variab... | |
<filename>openlis/model/recursive_model_index_simple.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import os
import math
import numpy as np
import tensorflow as tf
from six.moves import xrange
class RMI_simple(object):
""" Implements t... | |
#################################################################################################
# Visual object tracking in panoramic video
# Master thesis at Brno University of Technology - Faculty of Information Technology
# Author: <NAME> (<EMAIL>)
# Supervisor: Doc. Ing. <NAME>, Ph.D.
# Module: evaluation.py
# De... | |
__author__ = "<NAME> <<EMAIL>>"
__svnid__ = "$Id: calc.py 850 2009-05-01 00:24:27Z CodyPrecord $"
__revision__ = "$Revision: 850 $"
#--------------------------------------------------------------------------#
# Dependancies
import tkinter as tk
from tkinter import ttk,messagebox,filedialog
from noval import ... | |
of warnings produced by the last statement execution.
ATTENTION: This function will be removed in a future release, use
the get_warnings_count function instead.
get_warnings()
Retrieves the warnings generated by the executed operation.
get_warnings_count()
The number of warnings produced by the last statement ... | |
generated will satisfy the property,
but there will be some missing.
- ``size`` -- (default: ``None``) the size of the graph to be generated.
- ``degree_sequence`` -- (default: ``None``) a sequence of non-negative integers,
or ``None``. If specified, the generated graphs will have these
integers for degrees. In ... | |
from process_pf import *
from process_ez import *
from process_full import *
import pandas as pd
from numpy import random
import logging
import dask
import dask.dataframe as dd
dask.set_options(get=dask.multiprocessing.get) #switch from default multithreading to multiprocessing
# Code by <NAME> (<EMAIL>), 2016-2017
... | |
<gh_stars>0
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
fr... | |
<reponame>jg-rp/liquid
"""Test cases for string filters."""
# pylint: disable=too-many-public-methods,too-many-lines,missing-class-docstring
import unittest
from functools import partial
from inspect import isclass
from typing import NamedTuple
from typing import Any
from typing import List
from typing import Dict
f... | |
"Wishy-Washy Blue": 0xC6E0E1,
"Wishy-Washy Brown": 0xD1C2C2,
"Wishy-Washy Green": 0xDFEAE1,
"Wishy-Washy Lichen": 0xDEEDE4,
"Wishy-Washy Lilies": 0xF5DFE7,
"Wishy-Washy Lime": 0xEEF5DB,
"Wishy-Washy Mauve": 0xEDDDE4,
"Wishy-Washy Mint": 0xDDE2D9,
"Wishy-Washy Pink": 0xF0DEE7,
"Wishy-Washy Red": 0xE1DADD,
"Wis... | |
<gh_stars>0
"""Return the different representations of the probabilistic program.
Transformations are performed on the graphical model, which is then
compiled to the CST by the (universal) compiler.
"""
import copy
from collections import defaultdict
from functools import partial
import libcst as cst
from mcx.core.... | |
request: :class:`tencentcloud.bmlb.v20180625.models.DescribeL7BackendsRequest`
:rtype: :class:`tencentcloud.bmlb.v20180625.models.DescribeL7BackendsResponse`
"""
try:
params = request._serialize()
body = self.call("DescribeL7Backends", params)
response = json.loads(body)
if "Error" not in response["Response"]:
... | |
ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object.
If the method is called asynchronously,
returns the request thread.
:rtype: tuple(ResourceListOfWorkflow, status_code(int), headers(HTTPHeaderDict))
"""
local_var_params = locals... | |
import logging
import numpy as np
import scipy
import numba
import opt_einsum
import pyfftw
import mathx
from .. import bvar
from . import sa
logger = logging.getLogger(__name__)
fft = lambda Ar, axis=-1:pyfftw.interfaces.numpy_fft.fft(Ar, norm='ortho', axis=axis)
ifft = lambda Ak, axis=-1:pyfftw.interfaces.numpy_fft... | |
3.1217e-01,
1318.0: 3.3328e-01,
1319.0: 2.6855e-01,
1320.0: 2.5872e-01,
1321.0: 2.9866e-01,
1322.0: 3.0217e-01,
1323.0: 2.3279e-01,
1324.0: 2.6249e-01,
1325.0: 3.2224e-01,
1326.0: 2.8051e-01,
1327.0: 2.6625e-01,
1328.0: 2.3450e-01,
1329.0: 1.7759e-01,
1330.0: 2.2923e-01,
1331.0: 1.4480e-01,
1332.0: 1.457... | |
import logging
from datetime import timedelta as td
import numpy as np
from dateutil.parser import parse
import dateutil.tz
import gevent
from volttron.platform.agent.math_utils import mean, stdev
from volttron.platform.agent.base_market_agent import MarketAgent
from volttron.platform.agent.base_market_agent.poly_line... | |
(detection_all[3][0], detection_all[3][1])
#self.target_height = target_height
self.target_height = detection_all[4][3]
target_width = detection_all[4][2]
target = (detection_all[4][0], detection_all[4][1])
ref_x = int(w/2)
ref_y = int(h*0.35)
self.axis_speed = self.cmd_axis_speed.copy()
#Is there a Pic... | |
<gh_stars>1-10
import pandas as pd
from glob import glob
from os.path import join
from .derived import *
from pvlib.solarposition import get_solarposition
import datetime
def process_cabauw_data(csv_path, out_file, nan_column=("soil_water", "TH03"), cabauw_lat=51.971, cabauw_lon=4.926,
elevation=-0.7, reflect_counte... | |
# noqa: D100
from typing import Optional
import numpy as np
import xarray
from xclim.core.calendar import resample_doy
from xclim.core.units import (
convert_units_to,
declare_units,
pint2cfunits,
rate2amount,
str2pint,
to_agg_units,
)
from . import run_length as rl
from ._conversion import rain_approximation,... | |
CJK
# Unified Ideographs area, followed by U+3051 HIRAGANA LETTER KE)
self.assertGdbRepr(u'\u6587\u5b57\u5316\u3051')
# Test a character outside the BMP:
# U+1D121 MUSICAL SYMBOL C CLEF
# This is:
# UTF-8: 0xF0 0x9D 0x84 0xA1
# UTF-16: 0xD834 0xDD21
# This will only work on wide-unicode builds:
self.assertGdb... | |
# Copyright (c) 2020 @ FBK - Fondazione B<NAME>
# Author: <NAME>
# Project: LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
#
# 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 t... | |
'UserProfile'
db.create_table('auth_user_profile', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('created', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, null=True, blank=True)),
('modified', self.gf('django.db.models.fields.DateTimeField')(auto_now=True, null=True... | |
<reponame>symbooglix/boogie-runner
#!/usr/bin/env python
# vim: set sw=2 ts=2 softtabstop=2 expandtab:
import argparse
import logging
import os
import pprint
import sys
import yaml
from br_util import FinalResultType, classifyResult, validateMappingFile
import matplotlib.pyplot as plt
try:
# Try to use libyaml which ... | |
# -*- coding: utf-8 -*-
#############################################################################
# SRWLIB Example: Virtual Beamline: a set of utilities and functions allowing to simulate
# operation of an SR Beamline.
# The standard use of this script is from command line, with some optional arguments,
# e.g. for ... | |
1, 0)]),
((2, 3), [(1, 2, 1), (0, 1, 0)]),
((2,), [(1, 2, 0)]),
((1, 2), [(1, 2, 0), (3, 4, 0)]),
((1, 2), [(0, 0, 0), (0, 0, 0)]),
((2,), [(1, 2, 3),]),
((3, 2), [(1, 2, 1), (3, 4, 2)]),
((2,), [(-1, 2, 0),]),
((4, 2), [(-1, -2, 0), (1, 2, 0)]),
((4, 2), [(-1, 2, 0), (1, 2, 2)]),
((5,), [(-1, -2, 2),]),
((4... | |
plume has reached a maximum rise height yet
if np.sign(q0_local.Jz) != np.sign(q1_local.Jz):
top_counter += 1
# Check if the plume is at neutral buoyancy in an intrusion layer
# (e.g., after the top of the plume)
if top_counter > 0:
if np.sign(q0_local.rho_a - q0_local.rho) != \
np.sign(q1_local.rho_a - q1_loc... | |
29 )
plt.gca().locator_params(axis='x', tight = True, nbins=4)
# plt.gca().locator_params(axis='y', tight = True, nbins=5)
plt.xlabel('Translation rate [1/min]')
plt.ylabel('Period [min]')
plt.ylim(0,700)
my_figure.add_subplot(6,3,14)
plt.plot(translation_rate_results[:,0],
translation_rate_results[:,2], color ... | |
<reponame>sfu-arch/TensorBricks
import math
from tqdm import tqdm
def calculate_mac_utilization(self, num_h_convs, num_w_convs, num_cin, num_f, num_macs_w, hw_params):
cin_util, cin_fold = self.get_mac_utilization(num_cin, hw_params.mac_cxx)
w_util, w_fold = self.get_mac_utilization(num_w_convs, num_macs_w)
f_util... | |
"""
Train the model. Use generators for data preparation and model_handler for access.
Generators have to be set in constructor of subclasses.
:param hparams: Hyper-parameter container.
:return: A tuple of (all test loss, all training loss, the model_handler object).
"""
self.sanity_check_train(hparams)
self.lo... | |
<filename>client/bot.py
# -*- coding:utf-8 -*-
import os
import sys
import json
import hashlib
import requests
import platform
import configparser
# Prevent CLI output pollution
requests.packages.urllib3.disable_warnings()
import subprocess
import client
class Bot(object):
def __init__(self, logger, ra_url, path, v... | |
from __future__ import print_function
print(__doc__)
import os
import sys
import numpy as np
#import matplotlib
#matplotlib.use('AGG') # Do this BEFORE importing matplotlib.pyplot
import matplotlib.pyplot as plt
#from matplotlib.colors import Normalize
import matplotlib.colors as colors
import matplotlib.cm as cm
... | |
"page{}".format(num) # TODO delete me
self.image_path = None
class UVVertex:
"""Vertex in 2D"""
__slots__ = ('co', 'tup')
def __init__(self, vector):
self.co = vector.xy
self.tup = tuple(self.co)
class UVEdge:
"""Edge in 2D"""
# Every UVEdge is attached to only one UVFace
# UVEdges are doubled as needed b... | |
AtaSolutionProperties # type: ignore
from ._models import AuthenticationDetailsProperties # type: ignore
from ._models import AutoProvisioningSetting # type: ignore
from ._models import AutoProvisioningSettingList # type: ignore
from ._models import Automation # type: ignore
from ._models import AutomationAction #... | |
import os
import sys
import glob
import random
import math
import datetime
import itertools
import json
import re
import logging
# from collections import OrderedDict
import numpy as np
from scipy.stats import multivariate_normal
# import scipy.misc
import tensorflow as tf
# import keras
import keras.backend as KB
impo... | |
<filename>toolbox/ui.py
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from PyQt5.QtCore import Qt, QStringListModel
from PyQt5.QtWidgets import *
from encoder.inference import plot_embedding_as_heatmap
from toolbox.u... |
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