try without tutorials

Author: Samoed

autointent/metrics/scoring.py

@@ -38,18 +38,18 @@ def scoring_log_likelihood(labels: LABELS_VALUE_TYPE, scores: SCORES_VALUE_TYPE,
 
     .. math::
 
-        \\frac{1}{\\ell}\\sum_{i=1}^{\\ell}\\log(s[y[i]])
+        \frac{1}{\ell}\sum_{i=1}^{\ell}\log(s[y[i]])
 
-    where ``s[y[i]]`` is a predicted score of ``i``\\ th utterance having ground truth label
+    where ``s[y[i]]`` is a predicted score of ``i``th utterance having ground truth label
 
     Multilabel case
     Mean negative binary cross-entropy:
 
     .. math::
 
-        \\frac{1}{\\ell}\\sum_{i=1}^\\ell\\sum_{c=1}^C\\Big[y[i,c]\\cdot\\log(s[i,c])+(1-y[i,c])\\cdot\\log(1-s[i,c])\\Big]
+        \frac{1}{\ell}\sum_{i=1}^\ell\sum_{c=1}^C\Big[y[i,c]\cdot\log(s[i,c])+(1-y[i,c])\cdot\log(1-s[i,c])\Big]
 
-    where ``s[i,c]`` is a predicted score of ``i``\\ th utterance having ground truth label ``c``
+    where ``s[i,c]`` is a predicted score of ``i``'th utterance having ground truth label ``c``
 
     :param labels: ground truth labels for each utterance
     :param scores: for each utterance, this list contains scores for each of `n_classes` classes
@@ -82,7 +82,7 @@ def scoring_roc_auc(labels: LABELS_VALUE_TYPE, scores: SCORES_VALUE_TYPE) -> flo
 
     .. math::
 
-        \frac{1}{C}\\sum_{k=1}^C ROCAUC(scores[:, k], labels[:, k])
+        \frac{1}{C}\sum_{k=1}^C ROCAUC(scores[:, k], labels[:, k])
 
     where ``C`` is the number of classes
 

docs/source/conf.py

@@ -27,10 +27,19 @@
 extensions = [
     "sphinx.ext.duration",
     "sphinx.ext.autodoc",
-    "sphinx.ext.doctest",
     "sphinx.ext.autosummary",
-    "nbsphinx",
+    "sphinx.ext.doctest",
+    "sphinx.ext.intersphinx",
     "sphinx.ext.todo",
+    "sphinx.ext.coverage",
+    "sphinx.ext.viewcode",
+    "sphinx.ext.mathjax",
+    "sphinx.ext.extlinks",
+    "sphinx.ext.doctest",
+    "sphinx.ext.viewcode",
+    "sphinx_autodoc_typehints",
+    "sphinx_copybutton",
+    "nbsphinx",
 ]
 
 templates_path = ["_templates"]
@@ -51,7 +60,7 @@
     "private-members": True,
     # "special-members": "__call__",
     "member-order": "bysource",
-    # "exclude-members": "_abc_impl, model_fields, model_computed_fields, model_config",
+    "exclude-members": "_abc_impl, model_fields, model_computed_fields, model_config",
 }
 
 # Finding tutorials directories
@@ -60,15 +69,17 @@
 :tutorial_name: {{ env.docname }}
 """
 
+mathjax_path = "https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"
+
 
 def setup(_) -> None:  # noqa: ANN001
-    generate_tutorial_links_for_notebook_creation(
-        [
-            ("tutorials.pipeline_optimization", "Pipeline Optimization"),
-            ("tutorials.modules.scoring", "Scoring Modules", [("linear", "Linear Scorer")]),
-            ("tutorials.modules.prediction", "Prediction Modules", [("argmax", "Argmax Predictor")]),
-        ]
-    )
+    # generate_tutorial_links_for_notebook_creation(
+    #     [
+    #         ("tutorials.pipeline_optimization", "Pipeline Optimization"),
+    #         ("tutorials.modules.scoring", "Scoring Modules", [("linear", "Linear Scorer")]),
+    #         ("tutorials.modules.prediction", "Prediction Modules", [("argmax", "Argmax Predictor")]),
+    #     ]
+    # )
     regenerate_apiref(
         [
             ("autointent.configs", "Configs"),

docs/source/docs_utils/notebook.py

@@ -5,10 +5,7 @@
 import nbformat
 from pydantic import BaseModel
 
-try:
-    from jupytext import jupytext
-except ImportError:
-    jupytext = None
+from jupytext import jupytext
 
 
 class ReplacePattern(BaseModel, abc.ABC):
@@ -78,7 +75,7 @@ class DocumentationLink(ReplacePattern):
     USAGE EXAMPLES
     --------------
 
-    %doclink(api,index_pipeline)) -> ../apiref/index_pipeline.rst
+    %doclink(api,index_pipeline) -> ../apiref/index_pipeline.rst
 
     %doclink(api,script.core.script) -> ../apiref/chatsky.script.core.script.rst
 
@@ -243,7 +240,4 @@ def py_percent_to_notebook(text: str) -> nbformat.NotebookNode:
         # %% [raw]
         # This is a raw cell
     """
-    if jupytext is None:
-        msg = "`doc` dependencies are not installed."
-        raise ModuleNotFoundError(msg)
     return jupytext.reads(apply_replace_patterns(text), "py:percent")