feat: add ndarray/base/binary-input-casting-dtype

[gururaj1512]

Resolves None

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• feat: add ndarray/base/binary-input-casting-dtype

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• resolves None

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Coverage Report

Package	Statements	Branches	Functions	Lines
ndarray/base/binary-input-casting-dtype	$\color{red}141/148$ $\color{green}+95.27\%$	$\color{red}26/29$ $\color{green}+89.66\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{red}141/148$ $\color{green}+95.27\%$

The above coverage report was generated for the changes in this PR.

[gururaj1512]

Currently the examples are failing. But it can be tackled through

function safeInputCastingDataType( dtype1, dtype2, dtype3, policy ) {
	try {
		return inputCastingDataType( dtype1, dtype2, dtype3, policy );
	} catch ( error ) {
		if ( policy === 'none' && ( dtype1 !== dtype2 || dtype2 !== dtype3 ) ) {
			return 'incompatible';
		}
		return error;
	}
}

// Resolve casting data types:
logEachMap( 'dtypes: (%10s, %10s, %10s). policy: %20s. result: %10s.', args[ 0 ], args[ 1 ], args[ 2 ], args[ 3 ], naryFunction( safeInputCastingDataType, 4 ) );

Is above method correct? Or do we have similar packages/method to perform it?

[kgryte]

@gururaj1512 Rather than dynamically generating the list as you do here, how about just hardcoding idt1, idt2, and odt with data types which are known to succeed according to the listed policies? E.g.,

var idt1 = [
    'float32',
    'float64'
];

var idt2 = [
    'int8',
    'uint8'
];

var odt = [
    'float32',
    'float64',
    'complex64',
    'complex128'
];

In short, can you engineer some combinations which work, rather than using the most generalized approach?