diff --git a/.github/workflows/lint-test.yml b/.github/workflows/lint-test.yml
index 99ba088..5dda032 100644
--- a/.github/workflows/lint-test.yml
+++ b/.github/workflows/lint-test.yml
@@ -35,6 +35,7 @@ jobs:
         uv run pytest
     - name: Upload coverage report
       uses: actions/upload-artifact@v4
+      if: ${{ (runner.os == 'Linux') && (matrix.python-version == '3.13') }}
       with:
         name: coverage-html-${{ matrix.os }}-${{ matrix.python-version }}
         path: htmlcov/
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 26eaef8..b18f122 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,7 +9,6 @@ __pycache__/
 coverage.info
 
 .env
-uv.lock
 .python-version
 
 .coverage
diff --git a/doc/apidoc.md b/doc/apidoc.md
index 90d8ce1..2480af6 100644
--- a/doc/apidoc.md
+++ b/doc/apidoc.md
@@ -1,4 +1,4 @@
-# `Itr` v0.2.0 class documentation
+# `Itr` v0.2.2 class documentation
 A generic iterator adaptor class inspired by Rust's Iterator trait, providing a composable API for
 functional-style iteration and transformation over Python iterables.
 ## Public methods
@@ -591,41 +591,34 @@ This method calls itertools.tee on the wrapped iterator and returns a tuple of I
 objects, each wrapping one of the tee'd iterators. Each returned Itr yields the same
 sequence of items and can be consumed independently of the others.
 
-Parameters
-----------
-n : int, optional
-    Number of independent iterators to create (default: 2). Must be >= 1.
-
-Returns
--------
-tuple[Itr[T], ...]
-    Tuple of length `n` containing the newly created Itr objects.
-
-Raises
-------
-ValueError
-    If `n` is less than 1.
+Note:
 
-Notes
------
 - The implementation uses itertools.tee; the tee'd iterators share internal buffers
-  that store items produced by the original iterator until all tees have consumed them.
-  If one or more returned iterators lag behind the others, buffered items will be
-  retained and memory usage can grow.
+that store items produced by the original iterator until all tees have consumed them.
+If one or more returned iterators lag behind the others, buffered items will be
+retained and memory usage can grow.
 - After calling this method, avoid consuming the original wrapped iterator (`self._it`)
-  directly; use the returned Itr objects to prevent surprising interactions with the
-  shared buffer.
+directly; use the returned Itr objects to prevent surprising interactions with the
+shared buffer.
 - Creating the tees is inexpensive, but the memory characteristics depend on how the
-  resulting iterators are consumed relative to each other.
-
-Examples
---------
->>> i = Itr(range(3))
->>> a, b = i.tee(2)
->>> list(a)
-[0, 1, 2]
->>> list(b)
-[0, 1, 2]
+resulting iterators are consumed relative to each other.
+
+Args:
+    n (int, optional): Number of independent iterators to create (default: 2). Must be >= 1.
+
+Returns:
+    tuple[Itr[T], ...]: Tuple of length `n` containing the newly created Itr objects.
+
+Raises:
+    ValueError: If `n` is less than 1.
+
+Example:
+    >>> i = Itr(range(3))
+    >>> a, b = i.tee(2)
+    >>> list(a)
+    [0, 1, 2]
+    >>> list(b)
+    [0, 1, 2]
 
 
 ### `unzip`
diff --git a/pyproject.toml b/pyproject.toml
index 4edd479..2e7ee7f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "itrx"
-version = "0.2.1"
+version = "0.2.2"
 description = "A chainable iterator adapter"
 readme = "README.md"
 authors = [
diff --git a/src/itrx/itr.py b/src/itrx/itr.py
index 5f6f22c..e5ce1bd 100644
--- a/src/itrx/itr.py
+++ b/src/itrx/itr.py
@@ -509,7 +509,13 @@ def position(self, predicate: Predicate[T]) -> int:
 
     def product[U](self, other: Iterable[U]) -> "Itr[tuple[T, U]]":
         """
-        Creates a new iterator over tuples of the combinations of self and the other iterator
+        Creates a new iterator over the cartesian product of self and the other iterator
+
+        Args:
+            other (Iterable[[T], bool]): Another iterable.
+
+        Returns:
+            Itr[tuple[T, U]]: Iterator of 2-tuples with elements from each input iterator.
         """
         return Itr(itertools.product(self._it, other))
 
@@ -652,23 +658,16 @@ def tee(self, n: int = 2) -> tuple["Itr[T]", ...]:
         objects, each wrapping one of the tee'd iterators. Each returned Itr yields the same
         sequence of items and can be consumed independently of the others.
 
-        Parameters
-        ----------
-        n : int, optional
-            Number of independent iterators to create (default: 2). Must be >= 1.
+        Args:
+            n (int, optional): Number of independent iterators to create (default: 2). Must be >= 1.
 
-        Returns
-        -------
-        tuple[Itr[T], ...]
-            Tuple of length `n` containing the newly created Itr objects.
+        Returns:
+            tuple[Itr[T], ...]: Tuple of length `n` containing the newly created Itr objects.
 
-        Raises
-        ------
-        ValueError
-            If `n` is less than 1.
+        Raises:
+            ValueError: If `n` is less than 1.
 
-        Notes
-        -----
+        Notes:
         - The implementation uses itertools.tee; the tee'd iterators share internal buffers
           that store items produced by the original iterator until all tees have consumed them.
           If one or more returned iterators lag behind the others, buffered items will be
@@ -679,8 +678,7 @@ def tee(self, n: int = 2) -> tuple["Itr[T]", ...]:
         - Creating the tees is inexpensive, but the memory characteristics depend on how the
           resulting iterators are consumed relative to each other.
 
-        Examples
-        --------
+        Examples:
         >>> i = Itr(range(3))
         >>> a, b = i.tee(2)
         >>> list(a)
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..56c323a
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,313 @@
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+revision = 3
+requires-python = ">=3.12"
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