SimpleProxy

Simple proxy for a NumPy array (or similar) that can be used with the Blosc2 compute engine.

This only supports the __getitem__ method. No caching is performed.

class blosc2.SimpleProxy(src, chunks: tuple | None = None, blocks: tuple | None = None)

Simple proxy for any data container to be used with the compute engine.

The source must have a shape and dtype attributes; if not, it will be converted to a NumPy array via the np.asarray function. It should also have a __getitem__ method.

This only supports the __getitem__ method. No caching is performed.

Examples

>>> import numpy as np
>>> import blosc2
>>> a = np.arange(20, dtype=np.float32).reshape(4, 5)
>>> proxy = blosc2.SimpleProxy(a)
>>> proxy[1:3, 2:4]
[[ 7.  8.]
 [12. 13.]]

Attributes:

device

Hardware device the array data resides on.

dtype

The data type of the source array.

info

Get information about the Operand.

ndim

The number of dimensions of the source array.

shape

The shape of the source array.

src

The source object that this proxy wraps.

Methods

all([axis, keepdims])	Test whether all array elements along a given axis evaluate to True.
any([axis, keepdims])	Test whether any array element along a given axis evaluates to True.
argmax([axis, keepdims])	Returns the indices of the maximum values along a specified axis.
argmin([axis, keepdims])	Returns the indices of the minimum values along a specified axis.
item()	Copy an element of an array to a standard Python scalar and return it.
max([axis, keepdims])	Return the maximum along a given axis.
mean([axis, dtype, keepdims])	Return the arithmetic mean along the specified axis.
min([axis, keepdims])	Return the minimum along a given axis.
prod([axis, dtype, keepdims])	Return the product of array elements over a given axis.
std([axis, dtype, ddof, keepdims])	Return the standard deviation along the specified axis.
sum([axis, dtype, keepdims])	Return the sum of array elements over a given axis.
to_device(device)	Copy the array from the device on which it currently resides to the specified device.
var([axis, dtype, ddof, keepdims])	Return the variance along the specified axis.
where([value1, value2])	Select value1 or value2 values based on True/False for self.

Special Methods:

__init__(src[, chunks, blocks])
__getitem__(item)	Get a slice as a numpy.ndarray (via this proxy).

Constructor

__init__(src, chunks: tuple | None = None, blocks: tuple | None = None)

Utility Methods

__getitem__(item: slice | list[slice]) → ndarray

Get a slice as a numpy.ndarray (via this proxy).

Parameters:

item

Returns:

out – An array with the data slice.

Return type:

numpy.ndarray

property dtype

The data type of the source array.

property ndim

The number of dimensions of the source array.

property shape

The shape of the source array.

property src

The source object that this proxy wraps.