scheme_eval#

Wrappers over SchemeEval gRPC service of Fluent.

Example#

>>> from ansys.fluent.core.services.scheme_eval import Symbol as S
>>> session.scheme_eval.eval([S('+'), 2, 3])
5
>>> session.scheme_eval.eval([S('rpgetvar'), [S('string->symbol'), "mom/relax"]])
0.7
>>> session.scheme_eval.exec(('(ti-menu-load-string "/report/system/proc-stats")',))
>>> # Returns TUI output string
>>> session.scheme_eval.string_eval("(+ 2 3)")
'5'
>>> session.scheme_eval.string_eval("(rpgetvar 'mom/relax)")
'0.7'
>>> session.scheme_eval.scheme_eval("(+ 2 3)")
5
>>> session.scheme_eval.scheme_eval("(rpgetvar 'mom/relax)")
0.7

Classes:

`SchemeEval`(service)	Class on which Fluent's scheme code can be executed.
`SchemeEvalService`(channel, metadata, ...)	Class wrapping the SchemeEval gRPC service of Fluent.
`Symbol`(str)	Class representing the symbol datatype in Fluent.

class ansys.fluent.core.services.scheme_eval.SchemeEval(service)#

Bases: object

Class on which Fluent’s scheme code can be executed.

Methods

eval(val)	Evaluates a scheme expression, returns Python value
exec(commands, wait, silent)	Executes a sequence of scheme commands, returns TUI output string
string_eval(input)	Evaluates a scheme expression in string format, returns string
scheme_eval(input)	Evaluates a scheme expression in string format, returns Python value

Methods:

`__init__`(service)	__init__ method of SchemeEval class.
`eval`(val)	Evaluates a scheme expression.
`exec`(commands[, wait, silent])	Executes a sequence of scheme commands.
`is_defined`(symbol)	Check if a symbol is defined in the scheme environment.
`scheme_eval`(input)	Evaluates a scheme expression in string format.
`string_eval`(input)	Evaluates a scheme expression in string format.

__init__(service)#: __init__ method of SchemeEval class.

eval(val)#

Evaluates a scheme expression.

Parameters:

valAny: Input scheme expression represented as Python datatype

Returns:

Any: Output scheme value represented as Python datatype

exec(commands, wait=True, silent=True)#

Executes a sequence of scheme commands.

Parameters:

commandsSequence[str]: Sequence of scheme commands in string format
waitbool, optional: Specifies whether to wait until execution completes, by default True
silentbool, optional: Specifies whether to execute silently, by default True

Returns:

str: Output as string

is_defined(symbol)#

Check if a symbol is defined in the scheme environment.

Parameters:

symbolstr: Name of the symbol

Returns:

bool: True if symbol is defined, False otherwise

scheme_eval(input)#

Evaluates a scheme expression in string format.

Parameters:

inputstr: Input scheme expression in string format

Returns:

Any: Output scheme value represented as Python datatype

string_eval(input)#

Evaluates a scheme expression in string format.

Parameters:

inputstr: Input scheme expression in string format

Returns:

str: Output scheme value in string format

class ansys.fluent.core.services.scheme_eval.SchemeEvalService(channel, metadata, fluent_error_state)#

Bases: object

Class wrapping the SchemeEval gRPC service of Fluent.

Using the methods from the SchemeEval class is recommended.

Methods:

`__init__`(channel, metadata, fluent_error_state)	__init__ method of SchemeEvalService class.
`eval`(request)	Eval RPC of SchemeEval service.
`exec`(request)	Exec RPC of SchemeEval service.
`scheme_eval`(request)	SchemeEval RPC of SchemeEval service.
`string_eval`(request)	StringEval RPC of SchemeEval service.

__init__(channel, metadata, fluent_error_state)#: __init__ method of SchemeEvalService class.

eval(request)#: Eval RPC of SchemeEval service.

exec(request)#: Exec RPC of SchemeEval service.

scheme_eval(request)#: SchemeEval RPC of SchemeEval service.

string_eval(request)#: StringEval RPC of SchemeEval service.

class ansys.fluent.core.services.scheme_eval.Symbol(str)#

Bases: object

Class representing the symbol datatype in Fluent.

Attributes:

strstr: Underlying string representation

Methods:

__init__(str)

__init__ method of Symbol class.

__init__(str)#: __init__ method of Symbol class.