Merge branch 'main' into fix/make-convert-token-to-string-pickleable

docs/reference/generation/generation.md

@@ -4,7 +4,7 @@ title: Generation
 
 # Generation
 
-Once an [Outlines model](../models) is constructed you can use `outlines.generate` to generate text. Standard LLM generation is possible via `outlines.generate.text`, along with a variety of structured generation methods described below. (For a detailed technical explanation of how structured generation works, you may review the [Structured Generation Explanation](./structured_generation_explanation.md) page)
+Once an [Outlines model](../models/models.md) is constructed you can use `outlines.generate` to generate text. Standard LLM generation is possible via `outlines.generate.text`, along with a variety of structured generation methods described below. (For a detailed technical explanation of how structured generation works, you may review the [Structured Generation Explanation](./structured_generation_explanation.md) page)
 
 Before generating text, you must construct an `outlines.model`. Example:
 

outlines/fsm/guide.py

@@ -15,7 +15,6 @@
 )
 
 from outlines import grammars
-from outlines.caching import cache
 from outlines.fsm.parsing import PartialLark, PartialParserState
 
 if TYPE_CHECKING:
@@ -73,7 +72,6 @@ def copy(self):
         return self
 
 
-@cache()
 def cached_create_states_mapping(regex_string, tokenizer, *args, **kwargs):
     return uncached_create_states_mapping(regex_string, tokenizer, *args, **kwargs)
 

tests/fsm/test_guide.py

@@ -59,7 +59,7 @@ def convert_token_to_string(self, token):
     tokenizer = MockTokenizer()
     fsm = RegexGuide.from_regex(regex_str, tokenizer)
 
-    assert fsm.states_to_token_maps == {0: {1: 1}}
+    assert fsm.states_to_token_maps.get_transitions() == {0: {1: 1}}
 
     instruction = fsm.get_next_instruction(0)
     assert isinstance(instruction, Generate)
@@ -70,9 +70,6 @@ def convert_token_to_string(self, token):
 
     assert fsm.is_final_state(0) is False
 
-    for state in fsm.final_states:
-        assert fsm.is_final_state(state) is True
-
 
 def test_regex_multi_byte_llama_like():
     class MockTokenizer:
@@ -100,7 +97,7 @@ def convert_token_to_string(self, token):
     tokenizer = MockTokenizer()
     fsm = RegexGuide.from_regex(regex_str, tokenizer)
 
-    assert fsm.states_to_token_maps == {
+    assert fsm.states_to_token_maps.get_transitions() == {
         0: {5: 1, 4: 2},
         1: {6: 3},
         3: {7: 4},
@@ -116,9 +113,6 @@ def convert_token_to_string(self, token):
 
     assert fsm.is_final_state(0) is False
 
-    for state in fsm.final_states:
-        assert fsm.is_final_state(state) is True
-
 
 def test_regex_multi_byte_gpt2_like():
     class MockTokenizer:
@@ -147,7 +141,7 @@ def convert_token_to_string(self, token):
     tokenizer = MockTokenizer()
     fsm = RegexGuide.from_regex(regex_str, tokenizer)
 
-    assert fsm.states_to_token_maps == {
+    assert fsm.states_to_token_maps.get_transitions() == {
         0: {5: 1, 10: 2},
         1: {8: 5, 4: 3},
         2: {11: 3},
@@ -163,9 +157,6 @@ def convert_token_to_string(self, token):
 
     assert fsm.is_final_state(0) is False
 
-    for state in fsm.final_states:
-        assert fsm.is_final_state(state) is True
-
 
 def test_regex_final_state():
     """Make sure that the FSM stays in the final state as we keep generating"""

tests/generate/test_integration_llamacpp.py

@@ -274,6 +274,7 @@ def test_llama_cpp_pre_tokenizer_remains_broken():
         generate.choice(model, ["skirt", "dress", "pen", "jacket"])
 
 
+@pytest.mark.skip("Caching for guide was temporarily turned off")
 def test_RegexGuide_caching(model, temp_cache_dir):
     import llama_cpp
 

tests/generate/test_integration_transformers.py

@@ -492,6 +492,7 @@ def test_transformers_use_existing_model_and_tokenizer():
     assert isinstance(sequence, str)
 
 
+@pytest.mark.skip("Caching for guide was temporarily turned off")
 def test_RegexGuide_caching(temp_cache_dir):
     import outlines.caching
     from outlines.fsm.guide import cached_create_states_mapping