[CI] update the version of macos.

.github/workflows/build_and_release.yaml

@@ -22,7 +22,7 @@ jobs:
           - {os: ubuntu-24.04-arm, arch: aarch64, build: 'cp*-manylinux*'}
           - {os: windows-latest, arch: AMD64, build: 'cp*'}
           - {os: macos-14, arch: arm64, build: 'cp*'}
-          - {os: macos-13, arch: x86_64, build: 'cp*',}
+          - {os: macos-15-intel, arch: x86_64, build: 'cp*',}
 
     steps:
       - uses: astral-sh/setup-uv@v4

.github/workflows/tmate.yaml

@@ -8,14 +8,13 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest, ubuntu-24.04-arm, windows-latest, macos-14, macos-13]
+        os: [ubuntu-latest, ubuntu-24.04-arm, windows-latest, macos-14, macos-15-intel]
         python: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13']
         exclude:
-          - os: macos-13
+          - os: macos-15-intel
             python: '3.13'
             # The reason for the exclusion is that pytorch distribution
-            # can't be found by pip on macos-13 with python 3.13.
-
+            # can't be found by pip on macos-15-intel with python 3.13.
     steps:
       - name: Checkout
         uses: actions/checkout@v4

.github/workflows/unit_test.yaml

@@ -31,14 +31,13 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-latest, ubuntu-24.04-arm, windows-latest, macos-14, macos-13]
+        os: [ubuntu-latest, ubuntu-24.04-arm, windows-latest, macos-14, macos-15-intel]
         python: ['3.8', '3.9', '3.10', '3.11', '3.12', '3.13']
         exclude:
-          - os: macos-13
+          - os: macos-15-intel
             python: '3.13'
             # The reason for the exclusion is that pytorch distribution
-            # can't be found by pip on macos-13 with python 3.13.
-
+            # can't be found by pip on macos-15-intel with python 3.13.
     steps:
       - name: Checkout
         uses: actions/checkout@v4

tests/python/test_structural_tag_converter.py

@@ -1,16 +1,14 @@
 import sys
 import time
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 import pytest
 from transformers import AutoTokenizer
 
 import xgrammar as xgr
+from xgrammar.structural_tag import StructuralTag
 from xgrammar.testing import _is_grammar_accept_string
 
-PROFILER_ON = True
-tokenizer_id = "meta-llama/Llama-3.1-8B-Instruct"
-
 
 class Profiler:
     def __init__(self, tokenizer_id: str):
@@ -22,8 +20,13 @@ def __init__(self, tokenizer_id: str):
             self.tokenizer_info, max_threads=16, cache_enabled=False
         )
 
-    def profile_stag(self, structural_tag_format: Dict[str, Any], instance: str):
-        structural_tag = {"type": "structural_tag", "format": structural_tag_format}
+    def profile_stag(
+        self, structural_tag_format: Union[Dict[str, Any], StructuralTag], instance: str
+    ):
+        if isinstance(structural_tag_format, StructuralTag):
+            structural_tag = structural_tag_format
+        else:
+            structural_tag = {"type": "structural_tag", "format": structural_tag_format}
         time_begin = time.monotonic_ns()
         compiled_grammar = self.compiler.compile_structural_tag(structural_tag)
         time_end = time.monotonic_ns()
@@ -45,8 +48,23 @@ def profile_stag(self, structural_tag_format: Dict[str, Any], instance: str):
             print(f"Time to generate mask: {duration / 1000} us, Character: '{char}'")
 
 
-if PROFILER_ON:
-    profiler = Profiler(tokenizer_id)
+profiler: Optional[Profiler] = None
+PROFILER_ON = True
+tokenizer_id = "meta-llama/Llama-3.1-8B-Instruct"
+
+
+@pytest.fixture(autouse=True)
+def disable_profiler(request):
+    global PROFILER_ON
+    global profiler
+    markexpr = getattr(request.config.option, "markexpr", "") or request.config.getoption(
+        "markexpr", ""
+    )
+    hf_token_not_provided = "not hf_token_required" in (markexpr or "")
+    if hf_token_not_provided:
+        PROFILER_ON = False
+    else:
+        profiler = Profiler(tokenizer_id)
 
 
 def check_stag_with_grammar(structural_tag_format: Dict[str, Any], expected_grammar_ebnf: str):
@@ -56,13 +74,16 @@ def check_stag_with_grammar(structural_tag_format: Dict[str, Any], expected_gram
 
 
 def check_stag_with_instance(
-    structural_tag_format: Dict[str, Any],
+    structural_tag_format: Union[Dict[str, Any], StructuralTag],
     instance: str,
     is_accepted: bool = True,
     debug_print: bool = False,
 ):
-    structural_tag = {"type": "structural_tag", "format": structural_tag_format}
-    stag_grammar = xgr.Grammar.from_structural_tag(structural_tag)
+    if isinstance(structural_tag_format, StructuralTag):
+        stag_grammar = xgr.Grammar.from_structural_tag(structural_tag_format)
+    else:
+        structural_tag = {"type": "structural_tag", "format": structural_tag_format}
+        stag_grammar = xgr.Grammar.from_structural_tag(structural_tag)
     accepted = _is_grammar_accept_string(stag_grammar, instance, debug_print=debug_print)
     assert accepted == is_accepted
     if PROFILER_ON:
@@ -1955,8 +1976,7 @@ def test_from_structural_tag_with_structural_tag_instance(
     stag_format: xgr.structural_tag.Format, instance: str, is_accepted: bool
 ):
     stag = xgr.StructuralTag(format=stag_format)
-    grammar = xgr.Grammar.from_structural_tag(stag)
-    assert _is_grammar_accept_string(grammar, instance) == is_accepted
+    check_stag_with_instance(stag, instance, is_accepted)
 
 
 if __name__ == "__main__":