iframe-proxy | Sunbelt Computer Software

History

134 lines (98 loc) · 3.9 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

"""Wrappers for the interface between ratapi and MATLAB custom files."""

import os

import pathlib

from contextlib import suppress

from typing import Callable

import numpy as np

from numpy.typing import ArrayLike

import ratapi.rat_core

def start_matlab():

"""Start MATLAB asynchronously and returns a future to retrieve the engine later.

Returns

-------

future : matlab.engine.futureresult.FutureResult

A future used to get the actual matlab engine.

"""

future = None

if os.environ.get("DELAY_MATLAB_START", '0') == '0':

with suppress(ImportError):

import matlab.engine

future = matlab.engine.start_matlab(background=True)

return future

class MatlabWrapper:

"""Creates a python callback for a MATLAB function.

Parameters

----------

filename : string

The path of the file containing MATLAB function

"""

loader = start_matlab()

def __init__(self, filename: str) -> None:

if self.loader is None:

raise ImportError("matlabengine is required to use MatlabWrapper") from None

self.engine = self.loader.result()

path = pathlib.Path(filename)

self.engine.cd(str(path.parent), nargout=0)

self.function_name = path.stem

def getHandle(self) -> Callable[[ArrayLike, ArrayLike, ArrayLike, int, int], tuple[ArrayLike, float]]:

"""Return a wrapper for the custom MATLAB function.

Returns

-------

wrapper : Callable[[ArrayLike, ArrayLike, ArrayLike, int, int], tuple[ArrayLike, float]]

The wrapper function for the MATLAB callback

"""

def handle(*args):

if len(args) == 2:

output = getattr(self.engine, self.function_name)(

np.array(args[0], "float"), # xdata

np.array(args[1], "float"), # params

nargout=1,

)

return np.array(output, "float").tolist()

else:

matlab_args = [

np.array(args[0], "float"), # params

np.array(args[1], "float"), # bulk in

np.array(args[2], "float"), # bulk out

float(args[3] + 1), # contrast

]

if len(args) > 4:

matlab_args.append(float(args[4] + 1)) # domain number

output, sub_rough = getattr(self.engine, self.function_name)(

*matlab_args,

nargout=2,

)

return np.array(output, "float").tolist(), float(sub_rough)

return handle

def use_shared_matlab(name, custom_error=""):

"""Start MATLAB asynchronously and returns a future to retrieve the engine later.

Returns

-------

future : matlab.engine.futureresult.FutureResult

A future used to get the actual matlab engine.

"""

with suppress(ImportError):

import matlab.engine

MatlabWrapper.loader = matlab.engine.connect_matlab(name, background=True)

return MatlabWrapper.loader

class DylibWrapper:

"""Creates a python callback for a function in dynamic library.

Parameters

----------

filename : str

The path of the dynamic library

function_name : str

The name of the function to call

"""

def __init__(self, filename, function_name) -> None:

self.engine = RATapi.rat_core.DylibEngine(filename, function_name)

def getHandle(self) -> Callable[[ArrayLike, ArrayLike, ArrayLike, int, int], tuple[ArrayLike, float]]:

"""Return a wrapper for the custom dynamic library function.

Returns

-------

wrapper : Callable[[ArrayLike, ArrayLike, ArrayLike, int, int], tuple[ArrayLike, float]]

The wrapper function for the dynamic library callback

"""

def handle(*args):

return self.engine.invoke(*args)

return handle

Sunbelt Computer Software

PL/B Language Development and Support

Navigation Menu

Uh oh!

Sunbelt Computer Software

PL/B Language Development and Support

Uh oh!

FilesExpand file tree

wrappers.py

Latest commit

History

wrappers.py

File metadata and controls