feat: add Numpy min frontend function and its test (#27391)

Co-authored-by: NripeshN <[email protected]>

ivy/functional/frontends/numpy/mathematical_functions/extrema_finding.py

@@ -191,6 +191,22 @@ def amin(
     return ivy.astype(res, out_dtype, out=out, copy=False)
 
 
+@handle_numpy_out
+@to_ivy_arrays_and_back
+@from_zero_dim_arrays_to_scalar
+def min(
+    a,
+    /,
+    *,
+    axis=None,
+    out=None,
+    keepdims=False,
+    initial=None,
+    where=True,
+):
+    return amin(a, axis=axis, out=out, keepdims=keepdims, initial=initial, where=where)
+
+
 @handle_numpy_out
 @to_ivy_arrays_and_back
 @from_zero_dim_arrays_to_scalar

ivy_tests/test_ivy/test_frontends/test_numpy/test_mathematical_functions/test_extrema_finding.py

@@ -252,6 +252,55 @@ def test_numpy_maximum(
     )
 
 
+@handle_frontend_test(
+    fn_tree="numpy.min",
+    dtype_x_axis=helpers.dtype_values_axis(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_num_dims=1,
+        valid_axis=True,
+        force_int_axis=True,
+        large_abs_safety_factor=2,
+        safety_factor_scale="log",
+    ),
+    initial=st.one_of(st.floats(min_value=-1000, max_value=1000), st.none()),
+    keepdims=st.booleans(),
+    where=np_frontend_helpers.where(),
+)
+def test_numpy_min(
+    dtype_x_axis,
+    frontend,
+    test_flags,
+    fn_tree,
+    backend_fw,
+    on_device,
+    where,
+    initial,
+    keepdims,
+):
+    if initial is None and np.all(where) is not True:
+        assume(initial is inf)
+
+    input_dtypes, x, axis = dtype_x_axis
+    where, input_dtypes, test_flags = np_frontend_helpers.handle_where_and_array_bools(
+        where=where,
+        input_dtype=input_dtypes,
+        test_flags=test_flags,
+    )
+    np_frontend_helpers.test_frontend_function(
+        input_dtypes=input_dtypes,
+        backend_to_test=backend_fw,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        a=x[0],
+        axis=axis,
+        keepdims=keepdims,
+        initial=initial,
+        where=where,
+    )
+
+
 # minimum
 @handle_frontend_test(
     fn_tree="numpy.minimum",