Made semsimian an optional dependency

.github/workflows/main.yaml

@@ -88,7 +88,7 @@ jobs:
       #    install your root project, if required
       #----------------------------------------------
       - name: Install library
-        run: poetry install --no-interaction --extras "gilda"
+        run: poetry install --no-interaction --extras "gilda semsimian"
 
       - name: Get Gilda resources
         run: |

pyproject.toml

@@ -23,6 +23,7 @@ kgcl-schema = "^0.6.5"
 
 funowl = ">=0.2.0"
 gilda = {version = ">=1.0.0", optional = true}
+semsimian = {version = ">=0.1.0", optional = true}
 kgcl-rdflib = "0.5.0"
 llm = {version = "*", optional = true}
 aiohttp = {version = "*", optional = true}
@@ -37,7 +38,6 @@ pysolr = "^3.9.0"
 eutils = ">=0.6.0"
 requests-cache = "^1.0.1"
 click = "*"
-semsimian = "^0.2.1"
 urllib3 = {version = "< 2", optional = true}
 pydantic = "*"
 jsonlines = "^4.0.0"
@@ -75,6 +75,7 @@ docs = ["Sphinx", "sphinx-rtd-theme", "sphinxcontrib-mermaid", "sphinx-copybutto
 gilda = ["scipy", "gilda", "urllib3"]
 llm = ["llm", "aiohttp"]
 seaborn = ["seaborn"]
+semsimian = ["semsimian"]
 
 [tool.black]
 line-length = 100

src/oaklib/implementations/semsimian/semsimian_implementation.py

@@ -6,8 +6,6 @@
 from dataclasses import dataclass, field
 from typing import ClassVar, Dict, Iterable, Iterator, List, Optional, Tuple, Union
 
-from semsimian import Semsimian
-
 from oaklib.datamodels.similarity import (
     BestMatch,
     TermInfo,
@@ -51,7 +49,7 @@ class SemSimianImplementation(SearchInterface, SemanticSimilarityInterface, OboG
         SemanticSimilarityInterface.information_content_scores,
     ]
 
-    semsimian_object_cache: Dict[Tuple[PRED_CURIE], Semsimian] = field(default_factory=dict)
+    semsimian_object_cache: Dict[Tuple[PRED_CURIE], Optional["Semsimian"]] = field(default_factory=dict)  # type: ignore # noqa
 
     def __post_init__(self):
         slug = self.resource.slug
@@ -81,13 +79,15 @@ def _get_semsimian_object(
         predicates: List[PRED_CURIE] = None,
         attributes: List[str] = None,
         resource_path: str = None,
-    ) -> Semsimian:
+    ) -> "Semsimian":  # type: ignore # noqa
         """
         Get Semsimian object from "semsimian_object_cache" or add a new one.
 
         :param predicates: collection of predicates, defaults to None
         :return: A Semsimian object.
         """
+        from semsimian import Semsimian
+
         predicates = tuple(sorted(predicates))
         if predicates not in self.semsimian_object_cache:
             # spo = [