refacto: remove iter usage for passing a dataset

- it is still supported but not required and more confusing

benchmarks/linear_regression.py

@@ -145,7 +145,7 @@ def main():
     engine = hnp.compile_numpy_function(
         function_to_compile,
         {"x_0": hnp.EncryptedScalar(hnp.UnsignedInteger(input_bits))},
-        iter(inputset),
+        inputset,
     )
     # Measure: End
 

benchmarks/logistic_regression.py

@@ -214,7 +214,7 @@ def main():
             "x_0": hnp.EncryptedScalar(hnp.UnsignedInteger(input_bits)),
             "x_1": hnp.EncryptedScalar(hnp.UnsignedInteger(input_bits)),
         },
-        iter(inputset),
+        inputset,
     )
     # Measure: End
 

benchmarks/single_table_lookup.py

@@ -20,7 +20,7 @@ def main():
     engine = hnp.compile_numpy_function(
         function_to_compile,
         {"x": x},
-        iter([(i,) for i in range(2 ** input_bits)]),
+        [(i,) for i in range(2 ** input_bits)],
     )
     # Measure: End
 

benchmarks/x_plus_42.py

@@ -15,7 +15,7 @@ def main():
     engine = hnp.compile_numpy_function(
         function_to_compile,
         {"x": x},
-        iter([(6,), (1,), (5,), (2,)]),
+        [(6,), (1,), (5,), (2,)],
     )
     # Measure: End
 

benchmarks/x_plus_y.py

@@ -16,7 +16,7 @@ def main():
     engine = hnp.compile_numpy_function(
         function_to_compile,
         {"x": x, "y": y},
-        iter([(6, 1), (1, 4), (5, 3), (2, 0), (7, 7)]),
+        [(6, 1), (1, 4), (5, 3), (2, 0), (7, 7)],
     )
     # Measure: End
 

benchmarks/x_to_the_power_of_2.py

@@ -15,7 +15,7 @@ def main():
     engine = hnp.compile_numpy_function(
         function_to_compile,
         {"x": x},
-        iter([(6,), (1,), (5,), (2,)]),
+        [(6,), (1,), (5,), (2,)],
     )
     # Measure: End
 

docs/dev/explanation/COMPILATION.md

@@ -24,7 +24,7 @@ y = hnp.EncryptedScalar(hnp.UnsignedInteger(1))
 # Compile the function to its homomorphic equivalent
 engine = hnp.compile_numpy_function(
     f, {"x": x, "y": y},
-    iter([(0, 0), (0, 1), (1, 0), (1, 1), (2, 0), (2, 1), (3, 0), (3, 1)]),
+    [(0, 0), (0, 1), (1, 0), (1, 1), (2, 0), (2, 1), (3, 0), (3, 1)],
 )
 
 # Make homomorphic inference

docs/user/howto/COMPILING_AND_EXECUTING.md

@@ -39,7 +39,7 @@ Finally, we can compile our function to its homomorphic equivalent.
 ```python
 engine = hnp.compile_numpy_function(
     f, {"x": x, "y": y},
-    inputset=iter(inputset),
+    inputset=inputset,
 )
 ```
 

tests/common/compilation/test_artifacts.py

@@ -22,7 +22,7 @@ def test_artifacts_export():
         compile_numpy_function(
             function,
             {"x": EncryptedScalar(UnsignedInteger(7))},
-            iter([(0,), (1,), (2,)]),
+            [(0,), (1,), (2,)],
             compilation_artifacts=artifacts,
         )
 

tests/common/compilation/test_configuration.py

@@ -49,7 +49,7 @@ def test_enable_topological_optimizations(test_helpers, function_to_trace, fused
             param: EncryptedScalar(Integer(32, is_signed=False))
             for param in signature(function_to_trace).parameters.keys()
         },
-        iter([(1,), (2,), (3,)]),
+        [(1,), (2,), (3,)],
         CompilationConfiguration(dump_artifacts_on_unexpected_failures=False),
     )
     op_graph_not_optimized = compile_numpy_function_into_op_graph(
@@ -58,7 +58,7 @@ def test_enable_topological_optimizations(test_helpers, function_to_trace, fused
             param: EncryptedScalar(Integer(32, is_signed=False))
             for param in signature(function_to_trace).parameters.keys()
         },
-        iter([(1,), (2,), (3,)]),
+        [(1,), (2,), (3,)],
         CompilationConfiguration(
             dump_artifacts_on_unexpected_failures=False,
             enable_topological_optimizations=False,

tests/common/debugging/test_drawing.py

@@ -18,7 +18,7 @@ def test_draw_graph_with_saving():
     op_graph = compile_numpy_function_into_op_graph(
         function,
         {"x": EncryptedScalar(Integer(7, True))},
-        iter([(-2,), (-1,), (0,), (1,), (2,)]),
+        [(-2,), (-1,), (0,), (1,), (2,)],
     )
 
     with tempfile.TemporaryDirectory() as tmp:

tests/numpy/test_compile.py

@@ -198,7 +198,7 @@ def test_compile_function_with_direct_tlu():
     op_graph = compile_numpy_function_into_op_graph(
         function,
         {"x": EncryptedScalar(Integer(2, is_signed=False))},
-        iter([(0,), (1,), (2,), (3,)]),
+        [(0,), (1,), (2,), (3,)],
     )
 
     str_of_the_graph = get_printable_graph(op_graph, show_data_types=True)
@@ -217,7 +217,7 @@ def test_compile_function_with_direct_tlu_overflow():
         compile_numpy_function_into_op_graph(
             function,
             {"x": EncryptedScalar(Integer(3, is_signed=False))},
-            iter([(0,), (1,), (2,), (3,), (4,), (5,), (6,), (7,)]),
+            [(0,), (1,), (2,), (3,), (4,), (5,), (6,), (7,)],
             CompilationConfiguration(dump_artifacts_on_unexpected_failures=False),
         )