Deeploy.CommonExtensions.DataTypes.int64_t

class Deeploy.CommonExtensions.DataTypes.int64_t(value: int | float | Immediate, ctxt: _NetworkContext | None = None)

Bases: IntegerImmediate

Methods

__init__(value: int | float | Immediate, ctxt: _NetworkContext | None = None)

__init__(value[, ctxt])
checkPromotion(value[, ctxt])	Checks whether a given Python-typed or Deeploy-typed value can be represented with the Deeploy type
checkValue(value[, ctxt])	Checks whether a given Python-type value (usually FP64) can be represented with a Deeploy type
partialOrderUpcast(otherCls)	This method checks whether a data type (cls) can be used to represent any value that can be represented by another data type (otherCls).

Attributes

value
signed	Represents whether the underlying integer is signed or unsigned
typeMax	Represents the largest possible representable value, i.e. 2^{typeWidth}-1 for unsigned values and 2^{typeWidth-1}-1 for signed values.
typeMin	Represenst the smallest possible representable value, i.e. 0 for unsigned values and -2^{typeWidth-1} for signed values.
typeName	The C typename of this type
typeWidth	the number of BITS to be assigned to the type

typeName: str = 'int64_t'

The C typename of this type

Type:

str

typeWidth: int = 64

the number of BITS to be assigned to the type

Type:

int

signed: bool = True

Represents whether the underlying integer is signed or unsigned

Type:

bool

classmethod checkPromotion(value: _PythonType | Immediate, ctxt: _NetworkContext | None = None)

Checks whether a given Python-typed or Deeploy-typed value can be represented with the Deeploy type

Parameters:

• value (Union[_PythonType, _DeeployType]) – Python-typed or Deeploy-typed value to be checked for promotion to cls

• ctxt (Optional[_NetworkContext]) – Current NetworkContext

Returns:

Returns true if the value can be promoted to cls

Return type:

bool

classmethod checkValue(value: int | Iterable[int] | ndarray, ctxt: _NetworkContext | None = None)

Checks whether a given Python-type value (usually FP64) can be represented with a Deeploy type

Parameters:

• value (_PythonType) – Python-typed value to check

• ctxt (Optional[_NetworkContext]) – Current NetworkContext

Returns:

Returns true if value can represented by cls

Return type:

bool

classmethod partialOrderUpcast(otherCls: Type[Immediate]) → bool

This method checks whether a data type (cls) can be used to represent any value that can be represented by another data type (otherCls). For more information on partial order sets and type conversion, check:https://en.wikipedia.org/wiki/Partially_ordered_set https://en.wikipedia.org/wiki/Type_conversion

Parameters:

otherCls (Type[Immediate]) – The class you want to upcast an immediate of this cls to

Returns:

Returns true if this cls can be statically promoted to otherCls

Return type:

bool

typeMax: int = 9223372036854775807

Represents the largest possible representable value, i.e. 2^{typeWidth}-1 for unsigned values and 2^{typeWidth-1}-1 for signed values.

Type:

int

typeMin: int = -9223372036854775808

Represenst the smallest possible representable value, i.e. 0 for unsigned values and -2^{typeWidth-1} for signed values.

Type:

int