Closes #20. Added some dependencies

pyproject.toml

@@ -11,18 +11,16 @@ dynamic = ["version"]
 requires-python = ">=3.10"
 license = "MIT"
 keywords = []
-authors = [
-  { name = "Leah Wasser", email = "[email protected]" },
-]
+authors = [{ name = "Leah Wasser", email = "[email protected]" }]
 classifiers = [
-  "Development Status :: 4 - Beta",
-  "Programming Language :: Python",
-  "Programming Language :: Python :: 3.10",
-  "Programming Language :: Python :: 3.11",
-  "Programming Language :: Python :: 3.12",
+    "Development Status :: 4 - Beta",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
 ]
 
-dependencies = []
+dependencies = ["numpy", "pandas", "altair", "vl-convert-python"]
 
 [project.urls]
 Homepage = "https://pypi.org/project/pyospackage/"
@@ -32,18 +30,18 @@ Source = "https://github.com/pyopensci/pyospackage"
 
 [project.optional-dependencies]
 docs = [
-  "sphinx",
-  "sphinx-autobuild",
-  "sphinx-inline-tabs",
-  # Note that the tool you install has dashes- between the name, vs _underscores
-  # when you call the theme in sphinx's conf.py
-  "pydata-sphinx-theme",
-  "sphinx-design",
-  "sphinx-copybutton",
-  "myst-nb",
-  "myst-parser",
-  # Create beautiful api docs automatically
-  "sphinx-autoapi",
+    "sphinx",
+    "sphinx-autobuild",
+    "sphinx-inline-tabs",
+    # Note that the tool you install has dashes- between the name, vs _underscores
+    # when you call the theme in sphinx's conf.py
+    "pydata-sphinx-theme",
+    "sphinx-design",
+    "sphinx-copybutton",
+    "myst-nb",
+    "myst-parser",
+    # Create beautiful api docs automatically
+    "sphinx-autoapi",
 ]
 
 # ******* Hatch configuration here ******* #
@@ -69,16 +67,13 @@ docs-live = "sphinx-autobuild docs/ docs/_build"
 
 
 [tool.hatch.envs.test]
-dependencies = [
-  "pytest",
-  "pytest-cov"
-]
+dependencies = ["pytest", "pytest-cov"]
 
 
 [tool.ruff]
 lint.select = [
-  "F", # pyflakes
-  "I", # isort
+    "F", # pyflakes
+    "I", # isort
 ]
 lint.ignore = ["F841"]
 line-length = 79

src/pyospackage/plot_pyramid.py

@@ -0,0 +1,21 @@
+"""A module that performs basic math operations."""
+
+import altair as alt
+import pandas as pd
+
+alt.renderers.enable("png", scale_factor=2, ppi=144)
+
+
+def plot_pyramid():
+    category = ["Sky", "Shady side of a pyramid", "Sunny side of a pyramid"]
+    color = ["#416D9D", "#674028", "#DEAC58"]
+    df = pd.DataFrame({"category": category, "value": [75, 10, 15]})
+
+    alt.Chart(df, width=150, height=150).mark_arc(outerRadius=80).encode(
+        alt.Theta("value:Q").scale(range=[2.356, 8.639]),
+        alt.Color("category:N")
+        .title(None)
+        .scale(domain=category, range=color)
+        .legend(orient="none", legendX=160, legendY=50),
+        order="value:Q",
+    ).configure_view(strokeOpacity=0).save("pyramid.png")

src/pyospackage/simple_arithmetic.py

@@ -0,0 +1,96 @@
+"""A module that performs basic math operations."""
+
+import numpy as np
+import numpy.typing as npt
+
+
+def add_integers(
+    a: int,
+    b: int,
+) -> int:
+    """A function that adds two integers together
+
+    Parameters
+    ----------
+    a : int
+        The first integer to be added.
+    b : int
+        The second integer to be added.
+
+    Returns
+    -------
+    int
+        The sum of the two provided integers.
+    """
+
+    if not np.isscalar(a):
+        raise TypeError(f"Expected a scalar, got {a}")
+    if not isinstance(a, int):
+        raise TypeError(f"Expected a integer, got {a}")
+    if not np.isscalar(b):
+        raise TypeError(f"Expected a scalar, got {b}")
+    if not isinstance(b, int):
+        raise TypeError(f"Expected a integer, got {b}")
+
+    return a + b
+
+
+def multiply_integers(
+    a: int,
+    b: int,
+) -> int:
+    """A function that multiplies two integers together
+
+    Parameters
+    ----------
+    a : int
+        The first integer to be multiplied.
+    b : int
+        The second integer to be multiplied.
+
+    Returns
+    -------
+    int
+        The product of the two provided integers.
+    """
+    if not np.isscalar(a):
+        raise TypeError(f"Expected a scalar, got {a}")
+    if not isinstance(a, int):
+        raise TypeError(f"Expected an integer, got {a}")
+    if not np.isscalar(b):
+        raise TypeError(f"Expected a scalar, got {b}")
+    if not isinstance(b, int):
+        raise TypeError(f"Expected an integer, got {b}")
+
+    return a * b
+
+
+def create_int_vector(
+    a: int,
+    b: int,
+) -> npt.NDArray[np.int32]:
+    """Create a numpy 1-D array
+
+    Parameters
+    ----------
+    a : int
+        The length of the 1-D array.
+    b : int
+        The integer with which to populate the array.
+
+    Returns
+    -------
+    ndarray[int]
+        The sum of the two provided integers.
+    """
+
+    if not np.isscalar(a):
+        raise TypeError(f"Expected a scalar, got {a}")
+    if not isinstance(a, int):
+        raise TypeError(f"Expected an integer, got {a}")
+    if not np.isscalar(b):
+        raise TypeError(f"Expected a scalar, got {b}")
+    if not isinstance(b, int):
+        raise TypeError(f"Expected an integer, got {b}")
+
+    return np.ones(a, dtype=int) * b