improve params format

Signed-off-by: Ignacio Hagopian <jsign.uy@gmail.com>

Author: jsign

tests/zkevm/test_worst_compute.py

@@ -270,10 +270,10 @@ def test_worst_modexp(
             0x01,
             3_000,
             [
-                0x38D18ACB67D25C8BB9942764B62F18E17054F66A817BD4295423ADF9ED98873E,
-                27,
-                0x38D18ACB67D25C8BB9942764B62F18E17054F66A817BD4295423ADF9ED98873E,
-                0x789D1DD423D25F0772D2748D60F7E4B81BB14D086EBA8E8E8EFB6DCFF8A4AE02,
+                "38D18ACB67D25C8BB9942764B62F18E17054F66A817BD4295423ADF9ED98873E",
+                "000000000000000000000000000000000000000000000000000000000000001B",
+                "38D18ACB67D25C8BB9942764B62F18E17054F66A817BD4295423ADF9ED98873E",
+                "789D1DD423D25F0772D2748D60F7E4B81BB14D086EBA8E8E8EFB6DCFF8A4AE02",
             ],
             32 * 4,
             id="ecrecover",
@@ -282,58 +282,58 @@ def test_worst_modexp(
             0x06,
             150,
             [
-                0x18B18ACFB4C2C30276DB5411368E7185B311DD124691610C5D3B74034E093DC9,
-                0x063C909C4720840CB5134CB9F59FA749755796819658D32EFC0D288198F37266,
-                0x07C2B7F58A84BD6145F00C9C2BC0BB1A187F20FF2C92963A88019E7C6A014EED,
-                0x06614E20C147E940F2D70DA3F74C9A17DF361706A4485C742BD6788478FA17D7,
+                "18B18ACFB4C2C30276DB5411368E7185B311DD124691610C5D3B74034E093DC9",
+                "063C909C4720840CB5134CB9F59FA749755796819658D32EFC0D288198F37266",
+                "07C2B7F58A84BD6145F00C9C2BC0BB1A187F20FF2C92963A88019E7C6A014EED",
+                "06614E20C147E940F2D70DA3F74C9A17DF361706A4485C742BD6788478FA17D7",
             ],
             32 * 4,
-            id="bn128add",
+            id="bn128_add",
         ),
         pytest.param(
             0x07,
             6_000,
             [
-                0x1A87B0584CE92F4593D161480614F2989035225609F08058CCFA3D0F940FEBE3,
-                0x1A2F3C951F6DADCC7EE9007DFF81504B0FCD6D7CF59996EFDC33D92BF7F9F8F6,
-                0xFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF,
+                "1A87B0584CE92F4593D161480614F2989035225609F08058CCFA3D0F940FEBE3",
+                "1A2F3C951F6DADCC7EE9007DFF81504B0FCD6D7CF59996EFDC33D92BF7F9F8F6",
+                "FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF",
             ],
             32 * 4,
-            id="bn128mul",
+            id="bn128_mul",
         ),
         pytest.param(
             0x08,
             45_000 + 2 * 34_000,
             [
-                0x1C76476F4DEF4BB94541D57EBBA1193381FFA7AA76ADA664DD31C16024C43F59,
-                0x3034DD2920F673E204FEE2811C678745FC819B55D3E9D294E45C9B03A76AEF41,
-                0x209DD15EBFF5D46C4BD888E51A93CF99A7329636C63514396B4A452003A35BF7,
-                0x04BF11CA01483BFA8B34B43561848D28905960114C8AC04049AF4B6315A41678,
-                0x2BB8324AF6CFC93537A2AD1A445CFD0CA2A71ACD7AC41FADBF933C2A51BE344D,
-                0x120A2A4CF30C1BF9845F20C6FE39E07EA2CCE61F0C9BB048165FE5E4DE877550,
-                0x111E129F1CF1097710D41C4AC70FCDFA5BA2023C6FF1CBEAC322DE49D1B6DF7C,
-                0x103188585E2364128FE25C70558F1560F4F9350BAF3959E603CC91486E110936,
-                0x198E9393920D483A7260BFB731FB5D25F1AA493335A9E71297E485B7AEF312C2,
-                0x1800DEEF121F1E76426A00665E5C4479674322D4F75EDADD46DEBD5CD992F6ED,
-                0x090689D0585FF075EC9E99AD690C3395BC4B313370B38EF355ACDADCD122975B,
-                0x12C85EA5DB8C6DEB4AAB71808DCB408FE3D1E7690C43D37B4CE6CC0166FA7DAA,
+                "1C76476F4DEF4BB94541D57EBBA1193381FFA7AA76ADA664DD31C16024C43F59",
+                "3034DD2920F673E204FEE2811C678745FC819B55D3E9D294E45C9B03A76AEF41",
+                "209DD15EBFF5D46C4BD888E51A93CF99A7329636C63514396B4A452003A35BF7",
+                "04BF11CA01483BFA8B34B43561848D28905960114C8AC04049AF4B6315A41678",
+                "2BB8324AF6CFC93537A2AD1A445CFD0CA2A71ACD7AC41FADBF933C2A51BE344D",
+                "120A2A4CF30C1BF9845F20C6FE39E07EA2CCE61F0C9BB048165FE5E4DE877550",
+                "111E129F1CF1097710D41C4AC70FCDFA5BA2023C6FF1CBEAC322DE49D1B6DF7C",
+                "103188585E2364128FE25C70558F1560F4F9350BAF3959E603CC91486E110936",
+                "198E9393920D483A7260BFB731FB5D25F1AA493335A9E71297E485B7AEF312C2",
+                "1800DEEF121F1E76426A00665E5C4479674322D4F75EDADD46DEBD5CD992F6ED",
+                "090689D0585FF075EC9E99AD690C3395BC4B313370B38EF355ACDADCD122975B",
+                "12C85EA5DB8C6DEB4AAB71808DCB408FE3D1E7690C43D37B4CE6CC0166FA7DAA",
             ],
             32 * 12,
-            id="bn128pairing",
+            id="bn128_pairing",
         ),
         pytest.param(
             0x09,
             0xFFFF,
             [
-                0x0000FFFF48C9BDF267E6096A3BA7CA8485AE67BB2BF894FE72F36E3CF1361D5F,
-                0x3AF54FA5D182E6AD7F520E511F6C3E2B8C68059B6BBD41FBABD9831F79217E13,
-                0x19CDE05B61626300000000000000000000000000000000000000000000000000,
-                0x0000000000000000000000000000000000000000000000000000000000000000,
-                0x0000000000000000000000000000000000000000000000000000000000000000,
-                0x0000000000000000000000000000000000000000000000000000000000000000,
-                0x0000000000000000000000000000000000000000000000000000000000000000,
-                0x0000000000000000000000000000000000000000000000000000000000000000,
-                0x0000000003000000000000000000000000000001000000000000000000000000,
+                "0000FFFF48C9BDF267E6096A3BA7CA8485AE67BB2BF894FE72F36E3CF1361D5F",
+                "3AF54FA5D182E6AD7F520E511F6C3E2B8C68059B6BBD41FBABD9831F79217E13",
+                "19CDE05B61626300000000000000000000000000000000000000000000000000",
+                "0000000000000000000000000000000000000000000000000000000000000000",
+                "0000000000000000000000000000000000000000000000000000000000000000",
+                "0000000000000000000000000000000000000000000000000000000000000000",
+                "0000000000000000000000000000000000000000000000000000000000000000",
+                "0000000000000000000000000000000000000000000000000000000000000000",
+                "0000000003000000000000000000000000000001000000000000000000000000",
             ],
             213,
             id="blake2f",
@@ -342,16 +342,26 @@ def test_worst_modexp(
             0x0A,
             50_000,
             [
-                0x01E798154708FE7789429634053CBF9F99B619F9F084048927333FCE637F549B,
-                0x564C0A11A0F704F4FC3E8ACFE0F8245F0AD1347B378FBF96E206DA11A5D36306,
-                0x24D25032E67A7E6A4910DF5834B8FE70E6BCFEEAC0352434196BDF4B2485D5A1,
-                0x8F59A8D2A1A625A17F3FEA0FE5EB8C896DB3764F3185481BC22F91B4AAFFCCA2,
-                0x5F26936857BC3A7C2539EA8EC3A952B7873033E038326E87ED3E1276FD140253,
-                0xFA08E9FC25FB2D9A98527FC22A2C9612FBEAFDAD446CBC7BCDBDCD780AF2C16A,
+                "01E798154708FE7789429634053CBF9F99B619F9F084048927333FCE637F549B",
+                "564C0A11A0F704F4FC3E8ACFE0F8245F0AD1347B378FBF96E206DA11A5D36306",
+                "24D25032E67A7E6A4910DF5834B8FE70E6BCFEEAC0352434196BDF4B2485D5A1",
+                "8F59A8D2A1A625A17F3FEA0FE5EB8C896DB3764F3185481BC22F91B4AAFFCCA2",
+                "5F26936857BC3A7C2539EA8EC3A952B7873033E038326E87ED3E1276FD140253",
+                "FA08E9FC25FB2D9A98527FC22A2C9612FBEAFDAD446CBC7BCDBDCD780AF2C16A",
             ],
             192,
             id="point_evaluation",
         ),
+        pytest.param(
+            0x0B,
+            375,
+            [
+                "000000000000000000000000000000000572CBEA904D67468808C8EB50A9450C9721DB309128012543902D0AC358A62AE28F75BB8F1C7C42C39A8C5529BF0F4E00000000000000000000000000000000166A9D8CABC673A322FDA673779D8E3822BA3ECB8670E461F73BB9021D5FD76A",
+                "4C56D9D4CD16BD1BBA86881979749D280000000000000000000000000000000009ECE308F9D1F0131765212DECA99697B112D61F9BE9A5F1F3780A51335B3FF981747A0B2CA2179B96D2C0C9024E522400000000000000000000000000000000032B80D3A6F5B09F8A84623389C5F80C",
+            ],
+            256,
+            id="bls12_g1add",
+        ),
     ],
 )
 def test_worst_precompile_fixed_cost(
@@ -360,15 +370,24 @@ def test_worst_precompile_fixed_cost(
     fork: Fork,
     gas_limit: int,
     precompile_address: Address,
-    precompile_gas_cost: Address,
-    input: list[int],
+    precompile_gas_cost: int,
+    input: list[str],
     length: int,
 ):
     """Test running a block filled with a precompile with fixed cost."""
     env = Environment(gas_limit=gas_limit)
 
-    # Calldata
-    calldata = sum([Op.MSTORE(i * 32, input) for i, input in enumerate(input)])
+    concatenated_hex_string = "".join(input)
+    concatenated_bytes = bytes.fromhex(concatenated_hex_string)
+
+    padding_length = (32 - (len(concatenated_bytes) % 32)) % 32
+    input_bytes = concatenated_bytes + b"\x00" * padding_length
+
+    calldata = Bytecode()
+    for i in range(0, len(input_bytes), 32):
+        chunk = input_bytes[i : i + 32]
+        value_to_store = int.from_bytes(chunk, "big")
+        calldata += Op.MSTORE(i, value_to_store)
 
     attack_block = Op.POP(Op.STATICCALL(precompile_gas_cost, precompile_address, 0, length, 0, 0))
     code = code_loop_precompile_call(calldata, attack_block)