Conversion and Search

Matft	Numpy	Method	Complex
`Matft.astype`	`numpy.astype`	✓	✓
`Matft.transpose`	`numpy.transpose`	✓	✓
`Matft.reshape`	`numpy.reshape`	✓	✓
`Matft.expand_dims`	`numpy.expand_dims`	✓	✓
`Matft.squeeze`	`numpy.squeeze`	✓	✓
`Matft.broadcast_to`	`numpy.broadcast_to`	✓	✓
`Matft.to_contiguous`	`numpy.ascontiguousarray`	✓	✓
`Matft.flatten`	`numpy.flatten`	✓	✓
`Matft.flip`	`numpy.flip`	✓	✓
`Matft.clip`	`numpy.clip`	✓	✓
`Matft.swapaxes`	`numpy.swapaxes`	✓	✓
`Matft.moveaxis`	`numpy.moveaxis`	✓	✓
`Matft.roll`	`numpy.roll`	✓
`Matft.sort`	`numpy.sort`	✓
`Matft.argsort`	`numpy.argsort`	✓
`Matft.pad`	`numpy.pad`	✓
`Matft.diff`	`numpy.diff`	✓
`MfArray.toArray`	`numpy.ndarray.tolist`	only
`MfArray.toFlattenArray`	n/a	only
`MfArray.toMLMultiArray`	n/a	only
`Matft.orderedUnique`	`numpy.unique`	✓
`Matft.unique / unique_values`	`numpy.unique / numpy.unique_values`
`Matft.unique_counts / unique_inverse / unique_all`	`numpy.unique_counts / unique_inverse / unique_all`
`Matft.nonzero`	`numpy.nonzero`
`Matft.argwhere`	`numpy.argwhere`
`Matft.where`	`numpy.where`
`Matft.searchsorted`	`numpy.searchsorted`
`Matft.digitize`	`numpy.digitize`
`Matft.bincount`	`numpy.bincount`
`Matft.histogram`	`numpy.histogram`
`Matft.isin`	`numpy.isin`
`Matft.intersect1d / union1d / setdiff1d`	`numpy.intersect1d / union1d / setdiff1d`