  from ..util import link_vectors_to_models, create_default_optimizer
  from ..compat import copy_array
  from ..tokens.doc cimport Doc
  from ..gold cimport GoldParse
  from ..errors import Errors, TempErrors
  from .. import util
  from .stateclass cimport StateClass
  from ._state cimport StateC
  from .transition_system cimport Transition
  from . cimport _beam_utils
 
</s> remove from ..ml.component_models import build_morphologizer_model

 </s> add  </s> remove from thinc.api import chain, Linear, Maxout, Softmax, LayerNorm, list2array
from thinc.api import zero_init, CosineDistance, to_categorical, get_array_module
 </s> add from thinc.api import CosineDistance, to_categorical, get_array_module </s> remove from ..ml.component_models import Tok2Vec
from ..ml.component_models import masked_language_model
 </s> add from ..ml.models.tok2vec import build_Tok2Vec_model </s> remove from ..ml.component_models import Tok2Vec, build_tagger_model
from ..ml.component_models import build_text_classifier
from ..ml.component_models import build_simple_cnn_text_classifier
from ..ml.component_models import build_bow_text_classifier, build_nel_encoder
from ..ml.component_models import masked_language_model
 </s> add  </s> remove from ..util import create_default_optimizer
 </s> add from ..util import create_default_optimizer, registry
from ..errors import Errors, user_warning, Warnings
  from ..util import link_vectors_to_models, create_default_optimizer
  from ..compat import copy_array
  from ..tokens.doc cimport Doc
  from ..gold cimport GoldParse
from ..errors import Errors, user_warning, Warnings
  from .. import util
  from .stateclass cimport StateClass
  from ._state cimport StateC
  from .transition_system cimport Transition
  from . cimport _beam_utils
keep keep keep keep replace keep keep keep keep keep
 Default settings to configurations (#4995)

* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

* further refactor to require a model config when creating a pipe

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

* allow reading nlp from package or dir with argument 'name'

* architecture spacy.VocabVectors.v1 to read static vectors from file

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

* add IO bit when testing overfitting of tagger (currently failing)

* fix IO - don't initialize when reading from disk

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build 
spacy/syntax/nn_parser.pyx