class_docstr: Provides domain without information that is irrelevant for core training.
  
  The information that we retain includes:
  - intents and their "used" and "ignored" entities because intents influence the
    next action prediction directly and the latter flags determine whether the
    listed entities influence the next action prediction
  - entities, their roles and groups, and their `influence_conversation` flag because
    all of those items are used by policies
  - slots names along with their types, since this type information determines the
    pre-featurization of slot values
  - response keys (i.e. `utter_*) because those keys may appear in stories
  - form names because those appear in stories
  - how slots are filled (i.e. 'mappings' key under 'slots') because a domain instance
    needs to be created by core during training time to parse the training data
    properly
  
  This information that we drop (or replace with default values) includes:
  - the 'session_config' which determines details of a session e.g. whether data is
    transferred from one session to the next (this is replaced with defaults as it
    cannot just be removed)
  - the actual text of a 'response' because those are only used by response selectors
  - the actual configuration of 'forms' because those are not actually executed
    by core components
  
  References:
      - `rasa.core.featurizer.tracker_featurizer.py` (used by all policies)
      - `rasa.core.featurizer.single_state_featurizer.py` (used by ML policies)
      - `rasa.shared.core.domain.get_active_state` (used by above references)
      - `rasa.shared.core.slots.as_features` (used by above references)
      - `rasa.shared.core.training_data.structures.StoryStep.explicit_events`
         (i.e. slots needed for core training)
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docstr: Creates component (see parent class for full docstring).
docstr_tok: ["Creates","component","(","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> DomainForCoreTrainingProvider:
      """Creates component (see parent class for full docstring)."""
      return cls()
  
file_path: rasa/rasa/graph_components/providers/domain_for_core_training_provider.py
imports: from __future__ import annotations
  import copy
  from typing import Dict, Text, Any
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import REQUIRED_SLOTS_KEY
  from rasa.shared.core.domain import KEY_RESPONSES, Domain, SESSION_CONFIG_KEY, KEY_FORMS
label_desc: Use image node_id 1 for calling the DomainForCoreTrainingProvider obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls