chore: Reorganized all tests within a single nada project (#8)

Author: jcabrero

examples/README.md

@@ -0,0 +1,6 @@
+# Examples
+
+The following are the currently available examples:
+
+- [Dot Product](./dot_product)
+- [Matrix Multiplication](./matrix_multiplication)

examples/dot_product/nada-project.toml

@@ -3,5 +3,5 @@ version = "0.1.0"
 authors = [""]
 
 [[programs]]
-path = "src/main.py"
+path = "src/dot_product.py"
 prime_size = 128

examples/dot_product/src/main.py renamed to examples/dot_product/src/dot_product.py

@@ -3,5 +3,5 @@ version = "0.1.0"
 authors = [""]
 
 [[programs]]
-path = "src/main.py"
+path = "src/matrix_multiplication.py"
 prime_size = 128

examples/matrix_multiplication/nada-project.toml

@@ -59,7 +59,6 @@ class NadaArray:
         "transpose",
     }
 
-
     def __getitem__(self, item):
         """
         Get an item from the array.
@@ -446,16 +445,20 @@ def __getattr__(self, name: str) -> Any:
             Any: Result of attribute.
         """
         if name not in self.SUPPORTED_OPERATIONS:
-            raise AttributeError("NumPy method `%s` is not (currently) supported by NadaArrays." % name)
+            raise AttributeError(
+                "NumPy method `%s` is not (currently) supported by NadaArrays." % name
+            )
 
         attr = getattr(self.inner, name)
 
         if callable(attr):
+
             def wrapper(*args, **kwargs):
                 result = attr(*args, **kwargs)
                 if isinstance(result, np.ndarray):
                     return NadaArray(result)
                 return result
+
             return wrapper
 
         if isinstance(attr, np.ndarray):
@@ -464,7 +467,7 @@ def wrapper(*args, **kwargs):
         return attr
 
     def __setattr__(self, name, value):
-        if name == 'inner':
+        if name == "inner":
             super().__setattr__(name, value)
         else:
             setattr(self.inner, name, value)

examples/matrix_multiplication/src/main.py renamed to examples/matrix_multiplication/src/matrix_multiplication.py

@@ -63,7 +63,9 @@ def from_list(lst: list, nada_type: Integer | UnsignedInteger = Integer) -> Nada
     return NadaArray(np.array(__from_numpy(lst, nada_type)))
 
 
-def ones(dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer) -> NadaArray:
+def ones(
+    dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer
+) -> NadaArray:
     """
     Create a cleartext NadaArray filled with ones.
 
@@ -77,7 +79,9 @@ def ones(dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer) ->
     return from_list(np.ones(dims), nada_type)
 
 
-def ones_like(a: np.ndarray | NadaArray, nada_type: Integer | UnsignedInteger = Integer) -> NadaArray:
+def ones_like(
+    a: np.ndarray | NadaArray, nada_type: Integer | UnsignedInteger = Integer
+) -> NadaArray:
     """
     Create a cleartext NadaArray filled with one with the same shape and type as a given array.
 
@@ -93,7 +97,9 @@ def ones_like(a: np.ndarray | NadaArray, nada_type: Integer | UnsignedInteger =
     return from_list(np.ones_like(a), nada_type)
 
 
-def zeros(dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer) -> NadaArray:
+def zeros(
+    dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer
+) -> NadaArray:
     """
     Create a cleartext NadaArray filled with zeros.
 
@@ -107,7 +113,9 @@ def zeros(dims: Iterable[int], nada_type: Integer | UnsignedInteger = Integer) -
     return from_list(np.zeros(dims), nada_type)
 
 
-def zeros_like(a: np.ndarray | NadaArray, nada_type: Integer | UnsignedInteger = Integer) -> NadaArray:
+def zeros_like(
+    a: np.ndarray | NadaArray, nada_type: Integer | UnsignedInteger = Integer
+) -> NadaArray:
     """
     Create a cleartext NadaArray filled with zeros with the same shape and type as a given array.
 
@@ -179,7 +187,8 @@ def array(
 
 
 def random(
-    dims: Iterable[int], nada_type: SecretInteger | SecretUnsignedInteger = SecretInteger
+    dims: Iterable[int],
+    nada_type: SecretInteger | SecretUnsignedInteger = SecretInteger,
 ) -> NadaArray:
     """
     Create a random NadaArray with the specified dimensions.