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initial claude suggestion for savemat
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tests/verify_savemat.m

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% verify_savemat.m
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%
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% MATLAB-side verification of files produced by mat73.savemat.
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%
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% Workflow:
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% 1. Run: python tests/create_savemat_testfiles.py
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% 2. In MATLAB, cd to the project root and run: tests/verify_savemat
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%
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% Each block prints "PASS" or throws an error on failure.
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clear; clc;
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load(fullfile(fileparts(mfilename('fullpath')), 'savemat_verify.mat'));
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passed = 0;
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failed = 0;
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function check(label, cond)
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if cond
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fprintf(' PASS %s\n', label);
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else
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fprintf(' FAIL %s\n', label);
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error('Assertion failed: %s', label);
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end
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end
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fprintf('\n=== Python scalars ===\n');
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check('scalar_int == 42', scalar_int == 42);
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check('scalar_int class double', isa(scalar_int, 'double'));
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check('scalar_float == 3.14', abs(scalar_float - 3.14) < 1e-10);
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check('scalar_neg == -1.5', scalar_neg == -1.5);
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check('scalar_bool_true == true', scalar_bool_true == true);
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check('scalar_bool_true class logical', isa(scalar_bool_true, 'logical'));
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check('scalar_bool_false == false', scalar_bool_false == false);
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check('scalar_bool_false class logical', isa(scalar_bool_false, 'logical'));
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check('scalar_str == ''hello''', strcmp(scalar_str, 'hello'));
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check('scalar_nan is NaN', isnan(scalar_nan));
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check('scalar_inf is Inf', isinf(scalar_inf) && scalar_inf > 0);
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check('scalar_none is empty', isempty(scalar_none));
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fprintf('\n=== NumPy scalars (dtype preservation) ===\n');
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check('np_float64 value', abs(np_float64 - 1.23) < 1e-10);
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check('np_float64 class', isa(np_float64, 'double'));
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check('np_float32 value', abs(np_float32 - 1.5) < 1e-5);
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check('np_float32 class', isa(np_float32, 'single'));
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check('np_int8 value', np_int8 == 10);
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check('np_int8 class', isa(np_int8, 'int8'));
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check('np_int16 value', np_int16 == 1000);
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check('np_int16 class', isa(np_int16, 'int16'));
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check('np_int32 value', np_int32 == 99999);
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check('np_int32 class', isa(np_int32, 'int32'));
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check('np_int64 value', np_int64 == 1e9);
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check('np_int64 class', isa(np_int64, 'int64'));
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check('np_uint8 value', np_uint8 == 255);
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check('np_uint8 class', isa(np_uint8, 'uint8'));
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check('np_uint16 value', np_uint16 == 60000);
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check('np_uint16 class', isa(np_uint16, 'uint16'));
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check('np_uint32 value', np_uint32 == 1e6);
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check('np_uint32 class', isa(np_uint32, 'uint32'));
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check('np_uint64 value', np_uint64 == 1e12);
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check('np_uint64 class', isa(np_uint64, 'uint64'));
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check('np_bool value', np_bool == true);
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check('np_bool class', isa(np_bool, 'logical'));
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fprintf('\n=== NumPy arrays (dtype preservation) ===\n');
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check('arr_float64 values', isequal(arr_float64, [1.0 2.0 3.0]));
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check('arr_float64 class', isa(arr_float64, 'double'));
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check('arr_float32 values', isequal(arr_float32, single([1.0 2.0 3.0])));
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check('arr_float32 class', isa(arr_float32, 'single'));
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check('arr_int8 values', isequal(arr_int8, int8([-1 0 1])));
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check('arr_int8 class', isa(arr_int8, 'int8'));
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check('arr_int16 values', isequal(arr_int16, int16([100 200 300])));
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check('arr_int16 class', isa(arr_int16, 'int16'));
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check('arr_int32 values', isequal(arr_int32, int32([1000 2000 3000])));
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check('arr_int32 class', isa(arr_int32, 'int32'));
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check('arr_int64 values', isequal(arr_int64, int64([1e9 2e9])));
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check('arr_int64 class', isa(arr_int64, 'int64'));
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check('arr_uint8 values', isequal(arr_uint8, uint8([0 128 255])));
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check('arr_uint8 class', isa(arr_uint8, 'uint8'));
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check('arr_uint16 values', isequal(arr_uint16, uint16([0 1000 65535])));
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check('arr_uint16 class', isa(arr_uint16, 'uint16'));
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check('arr_uint32 values', isequal(arr_uint32, uint32([0 1e6])));
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check('arr_uint32 class', isa(arr_uint32, 'uint32'));
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check('arr_uint64 values', isequal(arr_uint64, uint64([0 1e12])));
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check('arr_uint64 class', isa(arr_uint64, 'uint64'));
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check('arr_bool values', isequal(arr_bool, logical([1 0 1])));
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check('arr_bool class', isa(arr_bool, 'logical'));
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check('arr_nan(1) == 1', arr_nan(1) == 1.0);
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check('arr_nan(2) is NaN', isnan(arr_nan(2)));
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check('arr_nan(3) == 3', arr_nan(3) == 3.0);
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check('arr_complex values', isequal(arr_complex, [1+2i, 3+4i]));
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check('arr_complex class', isa(arr_complex, 'double'));
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fprintf('\n=== Array shapes ===\n');
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check('arr_2d size', isequal(size(arr_2d), [2 3]));
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check('arr_2d values', isequal(arr_2d, [1 2 3; 4 5 6]));
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check('arr_3d size', isequal(size(arr_3d), [2 3 4]));
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check('arr_3d(1,1,1)', arr_3d(1,1,1) == 0);
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check('arr_3d(2,3,4)', arr_3d(2,3,4) == 23);
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check('arr_row size', isequal(size(arr_row), [1 3]));
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check('arr_row values', isequal(arr_row, [10 20 30]));
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check('arr_col size', isequal(size(arr_col), [3 1]));
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check('arr_col values', isequal(arr_col, [10; 20; 30]));
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fprintf('\n=== Python lists ===\n');
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check('list_ints values', isequal(list_ints, [1 2 3]));
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check('list_ints class', isa(list_ints, 'double'));
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check('list_floats(2)', abs(list_floats(2) - 2.2) < 1e-10);
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check('list_nested size', isequal(size(list_nested), [2 2]));
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check('list_nested values', isequal(list_nested, [1 2; 3 4]));
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check('list_strs is cell', iscell(list_strs));
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check('list_strs size', isequal(size(list_strs), [1 3]));
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check('list_strs{1}', strcmp(list_strs{1}, 'foo'));
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check('list_strs{2}', strcmp(list_strs{2}, 'bar'));
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check('list_strs{3}', strcmp(list_strs{3}, 'baz'));
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fprintf('\n=== Python dict (struct) ===\n');
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check('mystruct is struct', isstruct(mystruct));
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check('mystruct.double_field == 42',abs(mystruct.double_field - 42.0) < 1e-10);
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check('mystruct.str_field', strcmp(mystruct.str_field, 'world'));
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check('mystruct.arr_field values', isequal(mystruct.arr_field, [10 20 30]));
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check('mystruct.int_field == 7', mystruct.int_field == int32(7));
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check('mystruct.int_field class', isa(mystruct.int_field, 'int32'));
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fprintf('\n=== Nested struct ===\n');
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check('nested_struct is struct', isstruct(nested_struct));
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check('nested_struct.outer_val == 1', nested_struct.outer_val == 1.0);
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check('nested_struct.inner is struct', isstruct(nested_struct.inner));
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check('nested_struct.inner.inner_val', nested_struct.inner.inner_val == 2.0);
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check('nested_struct.inner.inner_str', strcmp(nested_struct.inner.inner_str, 'deep'));
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fprintf('\n=== All checks passed ===\n');

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