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In order to support Python 3.13, we had to migrate to Cython 3.0. This caused some tricky interaction with our Pydantic usage, because Cython 3 uses the from __future__ import annotations semantics, which causes type annotations to be saved as strings. The end result is that we can't have Language.factory decorated functions in Cython modules anymore, as the Language.factory decorator expects to inspect the signature of the functions and build a Pydantic model. If the function is implemented in Cython, an error is raised because the type is not resolved. To address this I've moved the factory functions into a new module, spacy.pipeline.factories. I've added __getattr__ importlib hooks to the previous locations, in case anyone was importing these functions directly. The change should have no backwards compatibility implications. Along the way I've also refactored the registration of functions for the config. Previously these ran as import-time side-effects, using the registry decorator. I've created instead a new module spacy.registrations. When the registry is accessed it calls a function ensure_populated(), which cases the registrations to occur. I've made a similar change to the Language.factory registrations in the new spacy.pipeline.factories module. I want to remove these import-time side-effects so that we can speed up the loading time of the library, which can be especially painful on the CLI. I also find that I'm often working to track down the implementations of functions referenced by strings in the config. Having the registrations all happen in one place will make this easier. With these changes I've fortunately avoided the need to migrate to Pydantic v2 properly --- we're still using the v1 compatibility shim. We might not be able to hold out forever though: Pydantic (reasonably) aren't actively supporting the v1 shims. I put a lot of work into v2 migration when investigating the 3.13 support, and it's definitely challenging. In any case, it's a relief that we don't have to do the v2 migration at the same time as the Cython 3.0/Python 3.13 support.
60 lines
1.8 KiB
Cython
60 lines
1.8 KiB
Cython
from cymem.cymem cimport Pool
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from ...strings cimport StringStore
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from ...structs cimport TokenC
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from ...training.example cimport Example
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from ...typedefs cimport attr_t, weight_t
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from ._state cimport StateC
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from .stateclass cimport StateClass
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cdef struct Transition:
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int clas
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int move
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attr_t label
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weight_t score
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bint (*is_valid)(const StateC* state, attr_t label) noexcept nogil
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weight_t (*get_cost)(const StateC* state, const void* gold, attr_t label) noexcept nogil
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int (*do)(StateC* state, attr_t label) noexcept nogil
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ctypedef weight_t (*get_cost_func_t)(
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const StateC* state, const void* gold, attr_tlabel
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) noexcept nogil
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ctypedef weight_t (*move_cost_func_t)(
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const StateC* state, const void* gold
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) noexcept nogil
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ctypedef weight_t (*label_cost_func_t)(
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const StateC* state, const void* gold, attr_t label
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) noexcept nogil
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ctypedef int (*do_func_t)(StateC* state, attr_t label) noexcept nogil
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ctypedef void* (*init_state_t)(Pool mem, int length, void* tokens) except NULL
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ctypedef int (*del_state_t)(Pool mem, void* state, void* extra_args) except -1
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cdef class TransitionSystem:
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cdef Pool mem
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cdef StringStore strings
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cdef Transition* c
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cdef readonly int n_moves
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cdef int _size
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cdef public attr_t root_label
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cdef public freqs
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cdef public object labels
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cdef public object cfg
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cdef init_state_t init_beam_state
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cdef del_state_t del_beam_state
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cdef Transition lookup_transition(self, object name) except *
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cdef Transition init_transition(self, int clas, int move, attr_t label) except *
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cdef int set_valid(self, int* output, const StateC* st) noexcept nogil
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cdef int set_costs(self, int* is_valid, weight_t* costs,
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const StateC* state, gold) except -1
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