darray¶

class minkit.darray(array, ndim=1, length=None, backend=None)[source]¶

Bases: minkit.farray

Array of floats.

Parameters

array (numpy.ndarray or reikna.cluda.api.Array) – original array.
backend – backend where to put the array.

Tye backend

Backend

Attributes Summary

`aop`	Associated object to do array operations.
`backend`	Backend interface.
`dtype`	Data type.
`length`	Length as a `numpy.int32` instance.
`ndim`	Number of dimensions of the array.
`shape`	Shape of the array.
`size`	Size of the array.
`ua`	Underlying array.

Methods Summary

`as_ndarray`()	Return the underlying array as a `numpy.ndarray` instance.
`astype`(dtype)	Convert the array into the given data type.
`copy`()	Copy this array.
`from_ndarray`(a, backend)	Create this class from a `numpy.ndarray` instance.
`get`(i)	Get an element of the array.
`max`()	Minimum value of the elements in the array.
`min`()	Minimum value of the elements in the array.
`slice`(a)	Get a slice of this array, that can be done using a boolean mask or an array of integers.
`sum`()	Sum the elements in the array.
`take_column`([i])	Take elements of the array using a period.
`take_slice`([start, end])	Take a slice of entries from the array.
`to_backend`(backend)	Send the array to the given backend.

Attributes Documentation

aop¶: Associated object to do array operations.

backend¶: Backend interface.

dtype¶: Data type.

length¶: Length as a numpy.int32 instance.

ndim¶: Number of dimensions of the array.

shape¶: Shape of the array.

size¶: Size of the array.

ua¶: Underlying array.

Methods Documentation

as_ndarray()¶

Return the underlying array as a numpy.ndarray instance. If the underlying array is already of this type, no copy is done.

Returns: underlying array as a numpy.ndarray.
Return type: numpy.ndarray

astype(dtype)¶

Convert the array into the given data type. Only conversions from farray and carray objects are allowed.

Parameters: dtype (numpy.dtype) – data type.
Returns: Converted array.
Return type: farray or carray
Raises: ValueError – If the conversion is not allowed.

copy()¶

Copy this array.

Returns: Copy of this array.

classmethod from_ndarray(a, backend)[source]¶

Create this class from a numpy.ndarray instance. If the number of dimensions is greater than one, the array is flattened, and each column is assumed to belong to a different parameter.

Parameters

a (numpy.ndarray) – array.
backend (Backend) – backend where to create this array.

Returns

Newly created array.

get(i)¶

Get an element of the array. The output type depends on the type of array.

Parameters: i (int) – index.
Returns: value at the given index.
Return type: float, int or bool

max()[source]¶

Minimum value of the elements in the array.

Returns: maximum of the elements.
Return type: float

min()[source]¶

Minimum value of the elements in the array.

Returns: minimum of the elements.
Return type: float

slice(a)[source]¶

Get a slice of this array, that can be done using a boolean mask or an array of integers.

Parameters: a (barray or iarray) – mask or indices array.
Returns: slice of this array.
Return type: darray

sum()[source]¶

Sum the elements in the array.

Returns: sum of elements.
Return type: float

take_column(i=0)[source]¶

Take elements of the array using a period.

Parameters: i (int) – column to take the elements.
Returns: reduced array.
Return type: marray

take_slice(start=0, end=None)[source]¶

Take a slice of entries from the array.

Parameters

start (int) – where to start taking entries.
end (int) – where to end taking entries.

Returns

slice of the array.

Return type

marray

to_backend(backend)¶

Send the array to the given backend.

Parameters: backend (Backend) – backend where to transfer the array.
Returns: this array on a new backend.
Return type: marray