code: def test_entity_ruler_remove_and_add(nlp, entity_ruler_factory):
      ruler = nlp.add_pipe(entity_ruler_factory, name="entity_ruler")
      patterns = [{"label": "DATE", "pattern": "last time"}]
      ruler.add_patterns(patterns)
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers"
          )
      )
      assert len(ruler.patterns) == 1
      assert len(doc.ents) == 1
      assert doc.ents[0].label_ == "DATE"
      assert doc.ents[0].text == "last time"
      patterns1 = [
          {"label": "DATE", "pattern": "this time", "id": "ttime"}
      ]
      ruler.add_patterns(patterns1)
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers"
          )
      )
      assert len(ruler.patterns) == 2
      assert len(doc.ents) == 2
      assert doc.ents[0].label_ == "DATE"
      assert doc.ents[0].text == "last time"
      assert doc.ents[1].label_ == "DATE"
      assert doc.ents[1].text == "this time"
      if isinstance(ruler, EntityRuler):
          ruler.remove("ttime")
      else:
          ruler.remove_by_id("ttime")
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers"
          )
      )
      assert len(ruler.patterns) == 1
      assert len(doc.ents) == 1
      assert doc.ents[0].label_ == "DATE"
      assert doc.ents[0].text == "last time"
      ruler.add_patterns(patterns1)
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers"
          )
      )
      assert len(ruler.patterns) == 2
      assert len(doc.ents) == 2
      patterns2 = [
          {"label": "DATE", "pattern": "another time", "id": "ttime"}
      ]
      ruler.add_patterns(patterns2)
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers, another time some chocolate."
          )
      )
      assert len(ruler.patterns) == 3
      assert len(doc.ents) == 3
      if isinstance(ruler, EntityRuler):
          ruler.remove("ttime")
      else:
          ruler.remove_by_id("ttime")
      doc = ruler(
          nlp.make_doc(
              "I saw him last time we met, this time he brought some flowers, another time some chocolate."
          )
      )
      assert len(ruler.patterns) == 1
      assert len(doc.ents) == 1
  
imports: import pytest
  from thinc.api import NumpyOps, get_current_ops
  from spacy import registry
  from spacy.errors import MatchPatternError
  from spacy.lang.en import English
  from spacy.language import Language
  from spacy.pipeline import EntityRecognizer, EntityRuler, SpanRuler, merge_entities
  from spacy.pipeline.ner import DEFAULT_NER_MODEL
  from spacy.tests.util import make_tempdir
  from spacy.tokens import Doc, Span
label_desc: Use image node_id 36 for calling a global function with example usage: test_entity_ruler_remove_and_add(nlp, entity_ruler_factory) without return types