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SerializeState, ObType, repr(transparent)
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// SPDX-License-Identifier: (Apache-2.0 OR MIT) | ||
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use crate::opt::{ | ||
Opt, PASSTHROUGH_DATACLASS, PASSTHROUGH_DATETIME, PASSTHROUGH_SUBCLASS, SERIALIZE_NUMPY, | ||
}; | ||
use crate::serialize::per_type::{is_numpy_array, is_numpy_scalar}; | ||
use crate::typeref::{ | ||
BOOL_TYPE, DATACLASS_FIELDS_STR, DATETIME_TYPE, DATE_TYPE, DICT_TYPE, ENUM_TYPE, FLOAT_TYPE, | ||
FRAGMENT_TYPE, INT_TYPE, LIST_TYPE, NONE_TYPE, STR_TYPE, TIME_TYPE, TUPLE_TYPE, UUID_TYPE, | ||
}; | ||
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#[repr(u32)] | ||
pub enum ObType { | ||
Str, | ||
Int, | ||
Bool, | ||
None, | ||
Float, | ||
List, | ||
Dict, | ||
Datetime, | ||
Date, | ||
Time, | ||
Tuple, | ||
Uuid, | ||
Dataclass, | ||
NumpyScalar, | ||
NumpyArray, | ||
Enum, | ||
StrSubclass, | ||
Fragment, | ||
Unknown, | ||
} | ||
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pub fn pyobject_to_obtype(obj: *mut pyo3_ffi::PyObject, opts: Opt) -> ObType { | ||
let ob_type = ob_type!(obj); | ||
if is_class_by_type!(ob_type, STR_TYPE) { | ||
ObType::Str | ||
} else if is_class_by_type!(ob_type, INT_TYPE) { | ||
ObType::Int | ||
} else if is_class_by_type!(ob_type, BOOL_TYPE) { | ||
ObType::Bool | ||
} else if is_class_by_type!(ob_type, NONE_TYPE) { | ||
ObType::None | ||
} else if is_class_by_type!(ob_type, FLOAT_TYPE) { | ||
ObType::Float | ||
} else if is_class_by_type!(ob_type, LIST_TYPE) { | ||
ObType::List | ||
} else if is_class_by_type!(ob_type, DICT_TYPE) { | ||
ObType::Dict | ||
} else if is_class_by_type!(ob_type, DATETIME_TYPE) && opt_disabled!(opts, PASSTHROUGH_DATETIME) | ||
{ | ||
ObType::Datetime | ||
} else { | ||
pyobject_to_obtype_unlikely(ob_type, opts) | ||
} | ||
} | ||
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#[cfg_attr(feature = "optimize", optimize(size))] | ||
#[inline(never)] | ||
pub fn pyobject_to_obtype_unlikely(ob_type: *mut pyo3_ffi::PyTypeObject, opts: Opt) -> ObType { | ||
if is_class_by_type!(ob_type, UUID_TYPE) { | ||
return ObType::Uuid; | ||
} else if is_class_by_type!(ob_type, TUPLE_TYPE) { | ||
return ObType::Tuple; | ||
} else if is_class_by_type!(ob_type, FRAGMENT_TYPE) { | ||
return ObType::Fragment; | ||
} | ||
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if opt_disabled!(opts, PASSTHROUGH_DATETIME) { | ||
if is_class_by_type!(ob_type, DATE_TYPE) { | ||
return ObType::Date; | ||
} else if is_class_by_type!(ob_type, TIME_TYPE) { | ||
return ObType::Time; | ||
} | ||
} | ||
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if opt_disabled!(opts, PASSTHROUGH_SUBCLASS) { | ||
if is_subclass_by_flag!(ob_type, Py_TPFLAGS_UNICODE_SUBCLASS) { | ||
return ObType::StrSubclass; | ||
} else if is_subclass_by_flag!(ob_type, Py_TPFLAGS_LONG_SUBCLASS) { | ||
return ObType::Int; | ||
} else if is_subclass_by_flag!(ob_type, Py_TPFLAGS_LIST_SUBCLASS) { | ||
return ObType::List; | ||
} else if is_subclass_by_flag!(ob_type, Py_TPFLAGS_DICT_SUBCLASS) { | ||
return ObType::Dict; | ||
} | ||
} | ||
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if is_subclass_by_type!(ob_type, ENUM_TYPE) { | ||
return ObType::Enum; | ||
} | ||
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if opt_disabled!(opts, PASSTHROUGH_DATACLASS) && pydict_contains!(ob_type, DATACLASS_FIELDS_STR) | ||
{ | ||
return ObType::Dataclass; | ||
} | ||
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if unlikely!(opt_enabled!(opts, SERIALIZE_NUMPY)) { | ||
if is_numpy_scalar(ob_type) { | ||
return ObType::NumpyScalar; | ||
} else if is_numpy_array(ob_type) { | ||
return ObType::NumpyArray; | ||
} | ||
} | ||
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ObType::Unknown | ||
} |
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