Array creation routines

From shape or value

`dpnp.empty`	Return a new array of given shape and type, without initializing entries.
`dpnp.empty_like`	Return a new array with the same shape and type as a given array.
`dpnp.eye`	Return a 2-D array with ones on the diagonal and zeros elsewhere.
`dpnp.identity`	Return the identity array.
`dpnp.ones`	Return a new array of given shape and type, filled with ones.
`dpnp.ones_like`	Return an array of ones with the same shape and type as a given array.
`dpnp.zeros`	Return a new array of given shape and type, filled with zeros.
`dpnp.zeros_like`	Return an array of zeros with the same shape and type as a given array.
`dpnp.full`	Return a new array of given shape and type, filled with fill_value.
`dpnp.full_like`	Return a full array with the same shape and type as a given array.

`dpnp.array`	Create an array.
`dpnp.asarray`	Converts an input object into array.
`dpnp.asanyarray`	Convert the input to an `dpnp.ndarray`.
`dpnp.ascontiguousarray`	Return a contiguous array in memory (C order).
`dpnp.astype`	Copy the array with data type casting.
`dpnp.copy`	Return an array copy of the given object.
`dpnp.frombuffer`	Interpret a buffer as a 1-dimensional array.
`dpnp.from_dlpack`	Create a dpnp array from a Python object implementing the `__dlpack__` protocol.
`dpnp.fromfile`	Construct an array from data in a text or binary file.
`dpnp.fromfunction`	Construct an array by executing a function over each coordinate.
`dpnp.fromiter`	Create a new 1-dimensional array from an iterable object.
`dpnp.fromstring`	A new 1-D array initialized from text data in a string.
`dpnp.loadtxt`	Load data from a text file.

`dpnp.arange`	Returns an array with evenly spaced values within a given interval.
`dpnp.linspace`	Return evenly spaced numbers over a specified interval.
`dpnp.logspace`	Return numbers spaced evenly on a log scale.
`dpnp.geomspace`	Return numbers spaced evenly on a log scale (a geometric progression).
`dpnp.meshgrid`	Return coordinate matrices from coordinate vectors.
`dpnp.mgrid`	Construct a dense multi-dimensional "meshgrid".
`dpnp.ogrid`	Construct an open multi-dimensional "meshgrid".

`dpnp.diag`	Extract a diagonal or construct a diagonal array.
`dpnp.diagflat`	Create a two-dimensional array with the flattened input as a diagonal.
`dpnp.tri`	An array with ones at and below the given diagonal and zeros elsewhere.
`dpnp.tril`	Lower triangle of an array.
`dpnp.triu`	Upper triangle of an array.
`dpnp.vander`	Generate a Vandermonde matrix.