3.8.3. qupulse.utils.sympy

Functions

almost_equal(lhs, rhs[, epsilon])	Returns True (or False) if the two expressions are almost equal (or not).
evaluate_compiled(expression, parameters[, ...])
evaluate_lambdified(expression, variables, ...)
evaluate_lamdified_exact_rational(...)	Evaluates Rational as TimeType.
get_free_symbols(expression)
get_free_symbols_cache(expression)
get_most_simple_representation(expression)
get_subscripted_symbols(expression)
get_variables(expression)
numpy_compatible_add(*args)
numpy_compatible_ceiling(input_value)
numpy_compatible_mul(*args)
recursive_substitution(expression, substitutions)
substitute_with_eval(expression, substitutions)	Substitutes only sympy.Symbols.
sympify(expr, **kwargs)
sympify_cache(value)	Cache sympify result for all hashable types
to_numpy(sympy_array)

Classes

Broadcast(x, shape)	Broadcast x to the specified shape using numpy.broadcast_to.
HighPrecPrinter([settings])	Custom printer that translates sympy.Rational into TimeType
IndexedBasedFinder()	Acts as a symbol lookup and determines which symbols in an expression a subscripted.
IndexedBroadcast(x, shape, idx)	Broadcast x to the specified shape using numpy.broadcast_to and index in the result.
Len

Exceptions

UnsupportedBroadcastArgumentWarning

evaluate_lambdified(expression: Expr | ndarray, variables: Sequence[str], parameters: Dict[str, ndarray | Number], lambdified: Callable | None) → Tuple[Any, Any]

get_free_symbols(expression: Expr) → Sequence[Symbol]

get_most_simple_representation(expression: Expr) → str | int | float

get_variables(expression: Expr) → Sequence[str]

recursive_substitution(expression: Expr, substitutions: Dict[str, Expr | ndarray | str]) → Expr

substitute_with_eval(expression: Expr, substitutions: Dict[str, Expr | ndarray | str]) → Expr

Substitutes only sympy.Symbols. Workaround for numpy like array behaviour. ~Factor 3 slower compared to subs

sympify(expr: str | Number | Expr | str_, **kwargs) → Expr

to_numpy(sympy_array: NDimArray) → ndarray