pyccel.ast.numpytypes module

pyccel.ast.numpytypes module#

Module containing types from the numpy module understood by pyccel

class pyccel.ast.numpytypes.NumpyComplex128Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s complex128 type.

Class representing NumPy’s complex128 type.

property element_type#

The type of an element of the complex.

The type of an element of the complex. In other words, the type of the floats which comprise the complex type.

class pyccel.ast.numpytypes.NumpyComplex256Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s complex256 type.

Class representing NumPy’s complex256 type.

property element_type#

The type of an element of the complex.

The type of an element of the complex. In other words, the type of the floats which comprise the complex type.

class pyccel.ast.numpytypes.NumpyComplex64Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s complex64 type.

Class representing NumPy’s complex64 type.

property element_type#

The type of an element of the complex.

The type of an element of the complex. In other words, the type of the floats which comprise the complex type.

class pyccel.ast.numpytypes.NumpyFloat128Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s float128 type.

Class representing NumPy’s float128 type.

class pyccel.ast.numpytypes.NumpyFloat32Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s float32 type.

Class representing NumPy’s float32 type.

class pyccel.ast.numpytypes.NumpyFloat64Type(self)[source]#

Bases: NumpyNumericType

Class representing NumPy’s float64 type.

Class representing NumPy’s float64 type.

class pyccel.ast.numpytypes.NumpyInt16Type(self)[source]#

Bases: NumpyIntType

Class representing NumPy’s int16 type.

Class representing NumPy’s int16 type.

class pyccel.ast.numpytypes.NumpyInt32Type(self)[source]#

Bases: NumpyIntType

Class representing NumPy’s int32 type.

Class representing NumPy’s int32 type.

class pyccel.ast.numpytypes.NumpyInt64Type(self)[source]#

Bases: NumpyIntType

Class representing NumPy’s int64 type.

Class representing NumPy’s int64 type.

class pyccel.ast.numpytypes.NumpyInt8Type(self)[source]#

Bases: NumpyIntType

Class representing NumPy’s int8 type.

Class representing NumPy’s int8 type.

class pyccel.ast.numpytypes.NumpyIntType(self)[source]#

Bases: NumpyNumericType

Super class representing NumPy’s integer types.

Super class representing NumPy’s integer types.

class pyccel.ast.numpytypes.NumpyNDArrayType(self, dtype, rank, order)[source]#

Bases: HomogeneousContainerType

Class representing the NumPy ND array type.

Class representing the NumPy ND array type.

Parameters:

  • dtype (NumpyNumericType | PythonNativeBool | GenericType) – The internal datatype of the object (GenericType is allowed for external libraries, e.g. MPI).

  • rank (int) – The rank of the new NumPy array.

  • order (str) – The order of the memory layout for the new NumPy array.

property order#

The data layout ordering in memory.

Indicates whether the data is stored in row-major (‘C’) or column-major (‘F’) format. This is only relevant if rank > 1. When it is not relevant this function returns None.

property rank#

Number of dimensions of the object.

Number of dimensions of the object. If the object is a scalar then this is equal to 0.

swap_order()[source]#

Get a type which is identical to this type in all aspects except the order.

Get a type which is identical to this type in all aspects except the order. In the case of a 1D array the final type will be the same as this type. Otherwise if the array is C-ordered the final type will be F-ordered, while if the array is F-ordered the final type will be C-ordered.

Returns:

The new type.

Return type:

PyccelType

switch_basic_type(new_type)[source]#

Change the basic type to the new type.

Change the basic type to the new type. A new NumpyNDArrayType will be returned whose underlying elements are of the NumPy type which is equivalent to the new type (e.g. PythonNativeFloat may be replaced by np.float64).

Parameters:

new_type (PyccelType) – The new basic type.

Returns:

The new type.

Return type:

PyccelType

switch_rank(new_rank, new_order=None)[source]#

Get a type which is identical to this type in all aspects except the rank and/or order.

Get a type which is identical to this type in all aspects except the rank and/or order. The order must be provided if the rank is increased from 1. Otherwise it defaults to the same order as the current type.

Parameters:

  • new_rank (int) – The rank of the new type.

  • new_order (str, optional) – The order of the new type. This should be provided if the rank is increased from 1.

Returns:

The new type.

Return type:

PyccelType

class pyccel.ast.numpytypes.NumpyNumericType(self)[source]#

Bases: FixedSizeNumericType

Base class representing a scalar numeric datatype defined in the numpy module.

Base class representing a scalar numeric datatype defined in the numpy module.

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