Convert test_sqr to file_test.

Two of these were even regression tests for a past bug. These are also moved to the file, now with the amazing innovation that we *actually check the regression test gave the right answer*. BUG=31 Change-Id: I8097336ad39a2bb5c0af07dd8e1e34723b68d182 Reviewed-on: https://boringssl-review.googlesource.com/8525 Reviewed-by: Adam Langley <agl@google.com>
8年前 · e1caf3974d
--- a/crypto/bn/bn_test.cc
+++ b/crypto/bn/bn_test.cc
@@ -99,7 +99,6 @@ static const int num0 = 100; // number of tests
 static const int num1 = 50;  // additional tests for some functions
 static const int num2 = 5;   // number of tests for slow functions

 static bool test_sqr(FILE *fp, BN_CTX *ctx);
 static bool test_mul(FILE *fp);
 static bool test_div(FILE *fp, BN_CTX *ctx);
 static int rand_neg();
@@ -181,12 +180,6 @@ int main(int argc, char *argv[]) {
                         "| grep -v 0 */\n");
  puts_fp(bc_file.get(), "obase=16\nibase=16\n");

  message(bc_file.get(), "BN_sqr");
  if (!test_sqr(bc_file.get(), ctx.get())) {
    return 1;
  }
  flush_fp(bc_file.get());

  message(bc_file.get(), "BN_mul");
  if (!test_mul(bc_file.get())) {
    return 1;
@@ -354,19 +347,23 @@ static bool TestSum(FileTest *t, BN_CTX *ctx) {
 static bool TestLShift1(FileTest *t, BN_CTX *ctx) {
  ScopedBIGNUM a = GetBIGNUM(t, "A");
  ScopedBIGNUM lshift1 = GetBIGNUM(t, "LShift1");
  if (!a || !lshift1) {
  ScopedBIGNUM zero(BN_new());
  if (!a || !lshift1 || !zero) {
    return false;
  }

  ScopedBIGNUM ret(BN_new()), two(BN_new());
  if (!ret || !two ||
  BN_zero(zero.get());

  ScopedBIGNUM ret(BN_new()), two(BN_new()), remainder(BN_new());
  if (!ret || !two || !remainder ||
      !BN_set_word(two.get(), 2) ||
      !BN_add(ret.get(), a.get(), a.get()) ||
      !ExpectBIGNUMsEqual(t, "A + A", lshift1.get(), ret.get()) ||
      !BN_mul(ret.get(), a.get(), two.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "A * 2", lshift1.get(), ret.get()) ||
      !BN_div(ret.get(), nullptr /* rem */, lshift1.get(), two.get(), ctx) ||
      !BN_div(ret.get(), remainder.get(), lshift1.get(), two.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "LShift1 / 2", a.get(), ret.get()) ||
      !ExpectBIGNUMsEqual(t, "LShift1 % 2", zero.get(), remainder.get()) ||
      !BN_lshift1(ret.get(), a.get()) ||
      !ExpectBIGNUMsEqual(t, "A << 1", lshift1.get(), ret.get()) ||
      !BN_rshift1(ret.get(), lshift1.get()) ||
@@ -435,6 +432,37 @@ static bool TestRShift(FileTest *t, BN_CTX *ctx) {
  return true;
 }

 static bool TestSquare(FileTest *t, BN_CTX *ctx) {
  ScopedBIGNUM a = GetBIGNUM(t, "A");
  ScopedBIGNUM square = GetBIGNUM(t, "Square");
  ScopedBIGNUM zero(BN_new());
  if (!a || !square || !zero) {
    return false;
  }

  BN_zero(zero.get());

  ScopedBIGNUM ret(BN_new()), remainder(BN_new());
  if (!ret ||
      !BN_sqr(ret.get(), a.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "A^2", square.get(), ret.get()) ||
      !BN_mul(ret.get(), a.get(), a.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "A * A", square.get(), ret.get()) ||
      !BN_div(ret.get(), remainder.get(), square.get(), a.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "Square / A", a.get(), ret.get()) ||
      !ExpectBIGNUMsEqual(t, "Square % A", zero.get(), remainder.get())) {
    return false;
  }

  BN_set_negative(a.get(), 0);
  if (!BN_sqrt(ret.get(), square.get(), ctx) ||
      !ExpectBIGNUMsEqual(t, "sqrt(Square)", a.get(), ret.get())) {
    return false;
  }

  return true;
 }

 struct Test {
  const char *name;
  bool (*func)(FileTest *t, BN_CTX *ctx);
@@ -445,6 +473,7 @@ static const Test kTests[] = {
    {"LShift1", TestLShift1},
    {"LShift", TestLShift},
    {"RShift", TestRShift},
    {"Square", TestSquare},
 };

 static bool RunTest(FileTest *t, void *arg) {
@@ -610,97 +639,6 @@ static bool test_mul(FILE *fp) {
  return true;
 }

 static bool test_sqr(FILE *fp, BN_CTX *ctx) {
  ScopedBIGNUM a(BN_new());
  ScopedBIGNUM c(BN_new());
  ScopedBIGNUM d(BN_new());
  ScopedBIGNUM e(BN_new());
  if (!a || !c || !d || !e) {
    return false;
  }

  for (int i = 0; i < num0; i++) {
    if (!BN_rand(a.get(), 40 + i * 10, 0, 0)) {
      return false;
    }
    a->neg = rand_neg();
    if (!BN_sqr(c.get(), a.get(), ctx)) {
      return false;
    }
    if (fp != NULL) {
      BN_print_fp(fp, a.get());
      puts_fp(fp, " * ");
      BN_print_fp(fp, a.get());
      puts_fp(fp, " - ");
      BN_print_fp(fp, c.get());
      puts_fp(fp, "\n");
    }
    if (!BN_div(d.get(), e.get(), c.get(), a.get(), ctx) ||
        !BN_sub(d.get(), d.get(), a.get())) {
      return false;
    }
    if (!BN_is_zero(d.get()) || !BN_is_zero(e.get())) {
      fprintf(stderr, "Square test failed!\n");
      return false;
    }
  }

  // Regression test for a BN_sqr overflow bug.
  BIGNUM *a_raw = a.get();
  if (!BN_hex2bn(
          &a_raw,
          "80000000000000008000000000000001FFFFFFFFFFFFFFFE0000000000000000") ||
      !BN_sqr(c.get(), a.get(), ctx)) {
    return false;
  }
  if (fp != NULL) {
    BN_print_fp(fp, a.get());
    puts_fp(fp, " * ");
    BN_print_fp(fp, a.get());
    puts_fp(fp, " - ");
    BN_print_fp(fp, c.get());
    puts_fp(fp, "\n");
  }
  if (!BN_mul(d.get(), a.get(), a.get(), ctx)) {
    return false;
  }
  if (BN_cmp(c.get(), d.get())) {
    fprintf(stderr,
            "Square test failed: BN_sqr and BN_mul produce "
            "different results!\n");
    return false;
  }

  // Regression test for a BN_sqr overflow bug.
  a_raw = a.get();
  if (!BN_hex2bn(
          &a_raw,
          "80000000000000000000000080000001FFFFFFFE000000000000000000000000") ||
      !BN_sqr(c.get(), a.get(), ctx)) {
    return false;
  }
  if (fp != NULL) {
    BN_print_fp(fp, a.get());
    puts_fp(fp, " * ");
    BN_print_fp(fp, a.get());
    puts_fp(fp, " - ");
    BN_print_fp(fp, c.get());
    puts_fp(fp, "\n");
  }
  if (!BN_mul(d.get(), a.get(), a.get(), ctx)) {
    return false;
  }
  if (BN_cmp(c.get(), d.get())) {
    fprintf(stderr,
            "Square test failed: BN_sqr and BN_mul produce "
            "different results!\n");
    return false;
  }

  return true;
 }


 static int rand_neg() {
  static unsigned int neg = 0;
  static const int sign[8] = {0, 0, 0, 1, 1, 0, 1, 1};
--- a/crypto/bn/bn_tests.txt
+++ b/crypto/bn/bn_tests.txt
@@ -5035,3 +5035,316 @@ N = 63
 RShift = d9ce8dff4f2f39c216ea39a46
 A = d9ce8dff4f2f39c216ea39a461080552ba01ab2d9b2f66c701
 N = 64


 # Square tests.
 #
 # These test vectors satisfy A^2 = Square.

 # Regression test for a BN_sqr overflow bug.
 Square = 4000000000000000800000000000000240000000000000000000000000000001fffffffffffffff8000000000000000400000000000000000000000000000000
 A = 80000000000000008000000000000001fffffffffffffffe0000000000000000

 # Regression test for a BN_sqr overflow bug.
 Square = 40000000000000000000000080000001fffffffe000000004000000200000001fffffff800000004000000000000000000000000000000000000000000000000
 A = 80000000000000000000000080000001fffffffe000000000000000000000000

 Square = c2fa18e1d110a4639781
 A = -df6a253c3f

 Square = 4805f01d379f4ce8dc86ed269
 A = 21f253ddb5a6d

 Square = 57def107babc1c2bffeff858947e69
 A = -95fbaee5a09c86d

 Square = f3b01f7941961b3f5cc3361e3ac82423690
 A = -3e71292dd4ad3ed3b4

 Square = 5e2d9c36d498ad1e8b6113f442ac513eaca74601
 A = 9b45cf6c7a43d910dcff

 Square = 7b7c2eb3fe55615e422b41c6f725341527626398cdee4
 A = 2c7314e72a2ffeef170de2a

 Square = af57c0ed328886642ed5d631b375fc89c03a99f1b427c6bbd1
 A = d3de077f8286a04daa9c497c9

 Square = 4d9eac3058e6cbc0d12e639ced961c02ec1870afed62fdd44c67ce4
 A = -233da7e87ea4421ee8fe7e00c856

 Square = 83c292d277fae28cfede74e8e80eba11dc132e16f78cdf64595c12c7dee4
 A = -b7a8aa7452678abd45d2ae6c349e2a

 Square = c80e07dd01f9d19a5cf7f3c328ccf4de70fdd113de69382701294dd29674b9a90
 A = 389387eead58fef2c76b5cf920f35c5cc

 Square = b9f69ca47ac855830fd7ed39c81822c520880c51c3ea60d3ccc106db37fc2b04c47831
 A = -da307c28ea67ca8d3117364ba93f0731bf9

 Square = 81bbe3a13a22a73778233294ba0c132d9dddec111f768300f177468c204f8eab69b98e62d99
 A = -2d8f715bb32d410b4f475c4d000d56fec7cfc5

 Square = f815ce34e9bc2e31e36e75cf49b2d15306d438a2a713b2a85b3ea156ba60c867c28cc65aa58fdf11
 A = fc02f2e1a26cd69f6a0e54cca4bbced739b43597

 Square = 5f968707f58ea15c492ec9677be09c309d91164aafa754ab16ca47a411b5b2249858fb6f96135992e8a04
 A = 271b8eae3e96cc4900d4413d6c00b73736a5d89ed7e

 Square = 4aa616aabcdc7ad48dcfd40d71e00a3789bbf549ff39b3e2ebb52017cb56014941961a5a6d52d7a9980fc99b49
 A = 8a3d3f15e6d7d2130aebd8cb99767defbe4c7704e3c1d

 Square = 845e46db8c40f3f6f6f4928b5748618f021f9064c6522bcf2df004f8d2105e90cd354785c15a6cc32fcc77da2ea3001
 A = -2e0543ac8b8255ce30253cf2047a0ff353dea55a58551801

 Square = 5dc5706dde9b326feb79941f08bd296ec3b6fb67270516b70fad9921438b9175f395310fb756b60d72d8e73e84ee8673cc40
 A = -9aefd7dfa709dec9e721f5c22867229435b2d6366462d0e438

 Square = 63dc6565adba27974a66bdcc626596e16cf399541d679f754d9063ceeb320649bec09a940309dd1eae5fbba0b558939afae9689c9
 A = 27f8e071f70b0053d70eca9c6d1e28303b8da2d3c58083c2cc45d

 Square = cf2176449bb8b215fc37288b904ca27d5d410780fd054d2a190a94b405f6aa41970b41ba3cc43eaabb97c2248e1e21457949070ec0f6a4
 A = -e645c7edc27512d4b3170d3c5430d0712a25c13afcc09c9b30bb11a

 Square = 43194e5f12e828db6735824c194985108269ddec12c49a14658be3c2b7d298c2846da1aa3ecb7064e73c317af595601de59035faab6dc0fd911
 A = -20c3fb73a03217893fd4a9db6e53a3d83a8414d900213d0460dc91bf69

 Square = fcee79e598f061157ca9416491f2eb069bb95a4d78a1d0538dab5c8008653db71b90ce3139e693ba284846be7b75d6b7aa80228420fe75599c12f090
 A = fe760dd61798c8f78e52b328fa27cfbe41b898de6e6bb4f4a684f038b5f4

 Square = 4f0db9f9e6eff9fe7fc938f6d6f5e4fb017ffea0cea0f7c57f4fc1e5b2bdc00a1cb9c1e6c865e53309b6b73c4339b0bd485860ca9edde3019804902da6b61
 A = 23909968dd5d139994fe9baa0a7bbfa009b013df3859ff294c5872366eb7ecf

 Square = 4441ff36d785d18208481470a5b8ba8cd65a45436c39190dde0b8a2b7d00bf67b185d98ab5c4a7853423778d6333abf6b115dc9567a9f9c71916d3f9db3af82c41
 A = 84307277f79cfdf33d83d7093f1fd8aeb94499a7075ca32733b68fcf88e819421

 Square = 50ee0dba369b0fb61d75706652487ca08043eee712ebb51399122353f77f13745ce2ef0d8f0ea7b3fd94e928b0b2b42c2c9141b5697b13b6d1f3d66c6a9186625b87e40
 A = -23fc02d45c820c3a4250124cc457fa3886beabb41d3c1e26f711309604eb253c6da8

 Square = da11876b316d4891a2d650692ca776f77afd32a1db08f591c9579fd1053a4a46cf78b4e4cf417eb99eb067ff701dbe3483dff22e7878d2ef2b234244cf7a29d93f62d6d6b611
 A = -ec463653389de3689fe1881679b83ca65134a1498a3543168dd4833a51b23edd3fb617

 Square = b342b4aff7e5bad38f7f532f0f32a3672f7ea6521d23652fa09ef7aeffcffe52f056ab1b54a0f3a2147f43330fd199d1f290988c866f61360dc4928c84b3dcde8f395120008472100
 A = 358e27805e2a56195fab2ccbe3f931a4bd14023ee56c8a191697926f387c40decc578cef0

 Square = bf4045fd680caa514e9c410fb4404e5e3a381abee023d5b509d6dc0b97386421f55090af8bab5ac08e9b2eb8a36a64c55960be9179d564c5429f4ec595d03d12111defafb7359b418902b1
 A = -dd450a0fa0914f0d65a1b555baaaf9380eaf8d58b272bf9d95435bad53b01337ac8de562cc7

 Square = 86abcdf183ca059257c2f6bb91efc9853f4ab42801d3cde88df72d4c904be184e93d6bd1af6fc21a6836c93c4e0a1f728b3722d568572f7ade418274ef2e6ac3463c5cc50990f1017e01cfb91a9
 A = -2e6b4d9eeede7a72b8d0fcf6429c7e30cf291352e1bb43e92c14236716aadc02c02f75c7e6aa8d

 Square = d5f37112733b097cab2bb11daa3d9481255060abd7bce42b752a7641a98e140922c375fcb68bf13d4326b374eabe3b01de0f8f6324b7b3e4142051c02d2f18ae2e748cf3c4bcc3fe157bc94227631d21
 A = ea087236372fbb01b80e57b1ae4edeeaa776355457e18165a5dc60ef4b6ddc0b127ef494dc44ae11

 Square = 9e4db7885fa5f928ef236f99df3e7c8d17a5a21983ff882032817edd5658575f443eb9c5c97d95ee798a3809cda76d7a0ab9fde757a310e2f5cbb299ab88e92a5771027ab9f26816c02d0c97894da5976ec90
 A = 3253d712d4ada4c12dab41036fcf79b02e80d1a632ff6ccc44d3c1d08467a019cd6221507459b231c8c

 Square = cf9c50ee8773ba94c9e943989a35513fc370adc3622beb125252bb92ff9b258b81a497700e3bb15bcb23a5b3082c095f7a5d6eef20433d689c20a5427b661d43fb0f9b7d1b16d1b73b8fd59ed319a26c5eb92fce90
 A = e68a0812d2de2a922f24c4e63b4c33e62f93943b7673e900d12405dedd0bc2a906daf8b4bc336bdeb52b4

 Square = f3aa49c906844692d3bc0cf101adcba80351c2e744be01762a8c24804a9d8d5a4cc3c113ccf529eb79cb3304aefa74178afa53f235c5211192d4cd8610c3b42e246621acb3e5d1f9d86ff39a20a7fa9c568356de5b86919
 A = -3e7069ce11472563b0dbeb9a936884df66db83273a690c40e5d3b5f8926fb502d3988591abfaea7b7bd76a85

 Square = 7c9a5057ca8095cdfa289b2d60eec80548f9ab2f3a996137ff9be403b529c4672e003d1eb074c76c0086e3d875cfbc90a40ccb61b799cc0401ba160d8d6b6ee46b2f14ed31c83de54cdf83458dcfc01e3234d9717b5f2c7e5079
 A = -b299da84ef84095d8191fd1cfe847b960729a3d1857082f05b2fa30ac45e90d2fdc778013b023f38db2c8e780b

 Square = 488294b528e2c2da0145217ec69de2d021ca27f145f7321f06c03316fcc14bd4a9a900bd6a144086acad6d5ad32a6245f5a655e007742aa336430c6bfbe174278884d19fd93916ef57215069268ade899cb92dfed29628327b84d8240
 A = 220fa6eaae0238e78a91e43fd8c2fbd5db0c8501cb96d66265c8edcbd376814c39e4a6f21ec9a6472c6abe8c04818

 Square = ebd685edd991dd5180706b72ce20ec4f6c5d9ce038cc8768f2ae2d0e676bd549d6d3f97f6c26f6e36bb664e8a7e6102192bccb354c024670085711db30159c6b7badab7c7c0b91925675ece3e23126ea6feaa28e977598a890e4e476ead100
 A = -f5b657cc38fd11ad2f1b188c61721b5ec6c9762c09dcbfac3edc1f07e675bc058e77eacd01a2b4139b1b00c40a6cb70

 Square = d1b3ac1d7042c0200f80a989e053dee31cdddc835889a57482a0988afd82b0fe8d3667270a72967401c3e8d80dae349ccd4063f11cb24dd7f9a5aeaaa7c0bd7bf7991367b0d7b4d374dc9c5017da81ba39fadfc3b760f68da95ae1eaa2eea3fb040
 A = -39eca1bf5e4807fd6a9ccc9e3138a6fb390b10a330f0027f0ba9868beb77c93160b623de58054a4522183fb3e4e2d86b08

 Square = 41c5e4bc851d48673e0a16336f0decbcb59dad36959b310cd1a042d24de00c587db47058c2d91d7f9982bdbf470c73f86e591a122b3fda71796e465513e10e3cdbd5e6bf035595644d588c091e23a57cc47b5173743b0dca965902918d61875f88735a59
 A = 81c2caee75e98f1822c854448302243feec55a5247bba948647f12d7e0bcde4b1dd6af63eb1ef948eec22a87d2f3213de75b

 Square = e712c3705ef2779ec997c430f1f8b7689d7edbf2daa733dca89612bcb298180b882cdfe8e5cc1104b9f5d6d8f0978b46eef4f297dcc83fce4c39821ed3205e399328d69ad484d8b3189e207193203ef79b763f5e11778dc24839b4feaab291a0464cc66edbe10
 A = 3ccdebe5106ff5642b4ac0751bb799c27454f904fb72863d1055d1412b2359120ad196b768f6137dce4cb85cd29a990838a95c4

 Square = b5063c05ac122d0d4b1e0d15c913f70f1309933ba737fccbc02d13a6c712e7b75fa757ac0e4fbe65977f17bbefde31c8fcf51f867a698233bf25bbdb1f03c104dcdbf1173886a48eb5a8b4d27cd841196de0b53466a3f1d28500fb4dbcee8d3458662443eb2aaa5de9
 A = d745c04ed95d4090ed66784339202f9d0e57bdc1a6f6b6ca09337153f0236cdf99b61db85604791b3a373885210f6aade8530c8d3

 Square = 974463573c968f1734741dde2a800761fa749b553dd6499b920d3af9bab73a87f40c9cad39c51cfabcfa0895f1970281af063d80f89f4103624a75bcb0d23f5ef6c1cd9a10930118e1459ee8732728ceb7961f7d83cd2344a51e6229fe708bda46382e142706137facf7161
 A = -31323f98f0f73fb66e541471774ce0e0fff53d69b2b726480b9ec7b0775b345ec4ec57c4334ab8ff4b388f4c7fbdfa3beeba0f3e0bcf

 Square = 673a62011d769ff0333f69f10f00b28781fece47ddeed25fb0bf4f8d95dde4efff60690076aa520ebaa3ba63e6d445541b9586241141ecc37cd75b178389265224533055ec82a393e5dd61640d3f442adaab917c8fee1f8fc0ff8ca8d577e1d2d976c2a8b873f699aa92c272c164
 A = -a28fdafefdd393f993a8fc1ae321e420451dd0c5071410367d5a911b2a3a668bcae4452e134159e0b1974505f99865cd97cdb020bab0b6

 Square = c4f34585a29667b582a3ee69b1a5f6c04746d105a57bc92763958c5add45c64b5c1cfeb1a321fc5194aab818c92ede5408afae0a2a74ed4c7757dae0bcc602169a805d525c5a63ca97391a9a7987a3eaf04bc44c89547c5d312f7193fc571851b1a8f8f091849f649ae91e15a050f5799
 A = 3822b607fccfbf0c5be97d4358bc682784e6453c71781fd3eef9d247485211c55d742279a35bf35e64ba8ec8cfe20dc0889688e2bc81fe0c5

 Square = cfdf0eb68dc27d60840b8afa8daf96bf831002dadb2801c5d6f7ca558256bf3c7c5372fa00f2b3e300287745f8664dcf8e679fa35adfcac93839cec53b349553f31058a4db05af40b047bb367234dd78717aaeb80334f0deabb09d2d4d90394ec28cc3589b0aa78cf227ce8678b8bb5cd775e9
 A = -e6af13779d5a5eedfecb7c4d34009affee1f0bb65934ea9656ed6eae02271ac8a29104439000650a3a8cd7fecb171a7154c0e2bb2b1cb908cd3

 Square = 6ec1b1333481c37be059ed7e088c862f869bb559b34360781f7263eeb206a210b90321aca198aa41c2a79e3a8d7df4336c75c87ba2ed4b02052a07b234afd9d2cb55413d4296645cd0dc8f987120acbc82fbfb089190f50e55eb1f509c86734dc14b2e8ae42ce880023dc7a014b02727b53d0e5f779
 A = -2a18acca3306bf06fd90da4ec2cbce995fb08beaec6d1cf4b30694d682c83e04b39f9a569eec52782b9eda7db0680165c77a1b0f54a1b995f8bd75

 Square = 5382be4ee86b9d80dc2d4ec58606ac538ba7074d57e2011346f0dfb9a9d6677fe015e4015ed607906e9068a3c5601f0bb77186a9d147416ac68e344318cbae5c70c437c5e1dfc2d6c3c8725198937ac2d8e796f749bfe95c7fe6d0e460a633be2d86462d48290a2f8b344ebcda2f6ad353d6fd5f3355d819
 A = 9236f7ad22da9cdd8c187082c630098bf3a558b04856e876433c570a63d39863416c9890dd089f7665d6ba073b2ce90f88e7d04af96f1c82287903fb

 Square = d68e15e8a46e001e47022daf63d2b33fee0f9d3dfefe9d204b0de6daea31dca4b287a60827bda9de2860c433b77186aca10bf3ac1d02a204ddf8bf070c3c20ea69d9638a865c8843e8e63211951e10a844f8527345c5bb5417e3301a19c929e6fc48902f0e0be8e393ecb3fe0e9de6188a72d102fbae846d05dc1
 A = 3a973dd50d4239f05d86ba25ee6ca8f8ef46424951a8bb89e7d1d6e066d6fcbabb3758ad9e1647a440e51976c0ce628d78b59a4d9e42fab0c723182b31f

 Square = f03a448bc7405d2d54c0ea1a9016d8757d4af893024e542df80fcce448491d07a4b451d67c9e7d9a6c7c5a6155bf156d3cdf8103162d8e0265111655fc0ae46f4be944fdf275221b217274357977abf64316615dafb6ec84c5466f617c4e8d9ad4739f3e5050e583892db75366a4a7d2c4558436ed036a79084c7f9100
 A = f7fd0a9634d14d540daea21c7b804d37de49b7c13bde85c045859ddae1dd3142994e385f455becb7ee30576d55d4dc2f3d9d82e86032e170da1730b2c8a90

 Square = af945dc2241029744548517dfd7858d42097076b06427419e74ab08071a23aaaa1f5daa6290287ce8e832a0524ba5581d64abf054408ecf6ed21a4f8289c1e4c7a8087384d268a1ccf7ed40e74922a619b5c1f2c08d810065710046190b7cfff33d4f67e58927477500eec54ba4f63a57532ed10c6b861fca9d46bfc3d32640
 A = -3500a8b6d244f1a21e10de7cfbeeb75d57ffa62e9dfbbdba8fe93d17488c56dc89787f13e660d0d7c7755242f8412d00988bfc7d3f6704782324c48691e7ca28

 Square = a466e34dc7875aaf945c088bac23f3347a41f7cd039b0c9120c2517ada94b96bdd72d7c9bb55539af12931a3a39f6e09a4cd4311fba57dbfcc51bd17b03905e2560275c8bb3d786defeb131a634e86ecb793867355b048dbaf2db8b654a4d50aace6bc9d60de6934ce25ab58381f6ddbd1c063652e283c30a2dcd61d9d776d60e209
 A = -cd26a0c3d84e83d9f14dbe95cc39e3ed2e8861b76f4bf55ab120ea636d8f9efb0b6198986eb52075108d0a5c6ae0ee762f834f3db802c3f20bedf938f47b8bfb03

 Square = 9f3f4d5110ea1bad21fae923825ba869a9982b753284f1946edea19f22cf0a49485b9336a2af7df8bf2641cb2083f4dce82202162d85a5779a4394213bf3bb3e47356bfc1150e66ddb6cd945092c9af14eeefd2d08b76c5e4a585ed8ef39202c42dbbceb25697f22f9508e7d954d3c1da103818aa6f63121f895e2c26d3d7463aea7ca749
 A = 327a2f6607c41ce920c14e9c9e8a059a931d71aeebc3e05e93107265a2810ec286819a4b2af9d2b70b754bdab6022b10ee6b81b32a7382cee99fb2bbcf6fe85af05e3

 Square = 50ac4c46f2014a7a382b0d5ec9db4a67f34ffe9fd5410995810d3ea8d7d87d47442d0253c7eceb1799272bb5f5e7bd63174959f9844e5b4b65b6a4920166d83d01a5c2638b4d3b6db7fed99e28b9128dcb7c10be539114c5887842f8e5a7fb743298ec9642e50bd0979156cc6aea9ce802a0c1b14a2a1b7afe28dba534c9933209f14474b6e484
 A = -8fb585e01a0c62367dfa8a1953e553476b1564e843bdc2c5d964864ab2da56e0bfa7f5ce5b7850398451619a061de02ffbe0c336ecbeae818d32dcd40355fd11a7a3822

 Square = 9214e31bb62f62a7f92d6c7f1453bc4430595a1765b7223a1e50ec30f934908c19fe82d7bb8ef1174bb6787aba9df1a38a84203630ae9f62e08fb4ac55ed329282315937d193992e9e12adec9727ef91df5a065cc5858062c765f34bd2630fd3f654a8f8421b75dc384477744efef3d6f0d15820c9328bf43a43409f6527dce48a92c3e1ef145b5e284
 A = -30587ef092cb9456caa844be9629d77ef1bfe21d2ffd5625ea353beb1f294e38a7fdddd5bf77cffe5caffaf609b8976756c9eb4908ca77b1630ac0d706503c46177c5d905e

 Square = 54bf52644a244276ad3dac90661a1e21468f23a117a1fcc904c66119d86ce98a0b90fd4096708bcefa7a9df87c6bb85149305f193cf5505802172ef9ec343f662a4c895a9d19edeeed5d91e20abc894948fe59c1869928616392f3694d82aabee325b651e1170006ca1fc355212308442a5ec8a8fda4f5f90b7fef2aa731f3fe0f028143ead04490d78b2151
 A = 934b16f56700b455d5791ee8c119b5921976a829bb5d1fedb201e63c9ebb82afe4e29aaf0ae27148e4d34269c48dfa42131cc8b3b78e23ac3e7292eb0d715247a345c800f377

 Square = 63b7884fbb6d5521c38f7deea5cc131ec6bea15a362322a8e27c762880836cffb69a069a168663908707bee9d83aad41c045bc84dadc6cd927ad62140f8c2fd001d34f0a7462bc939cc8996e17ebabafda95a73483c70191311a6fb7c670c76c9e2ed7e589e464617888d30cb7793e91672d7de9b3b4b1811b2c009dd1c690d44710bbab832d91f16f9b3564a0c49
 A = 27f17f0865513350381ea1aa1545439fde427ccc64385979bc787cfc4c7e6b624b2c77140da2c4176c55dbe43c506fac14b4cd7815e87f3120330dd3003bee087a371f85d6f4e9d

 Square = 9d1c4239accb286c3c7868ad3b4dd97b93774fd0c65e04ca8dd405c0298ec6d1f52d60be6ddb5f8f0389cde756b49b23dd2f0de568a432fb99dbbd40db798261d1dd39bf5017e6dc74cb9ca91f8b2f892c7eaa28485c04a96add206c7c38943912de065be17b65292db5a144f82427016b5e0eb4ded2e4d0b7d12b01cb0b2b61e5e1bf22dcf1567a8b149cc0ef5299a8b1
 A = c88cc5a46bc1cffedad4f45e66fb55dc4347eb2a24a09878358d40fbdb03e738ca1d54a1d26a777915248fd730daffb0d3b5305684709db0f258f581fde06b11a33a3f76b3fa53e39

 Square = 789545f15fded8fbf0b4275cec30c3ac65eb42ab8cc75670fbb2ab0b4cd90ed41a1290383b5f14bf87a88c67ff1e04d0f478fb11fefa64e86eae5777855ddeae451e166e23ec30227fb4021d51ec7cfe4ce531c78ba1bf6c797dc73f093b0a5a5aa59ad8de3234808e776d690007c8c332b3f03331dbdbb8645b91552091afc36c28c3229220b1a7966c7cf13db6bdbd4673440
 A = -2bec94112014c1a506417e659157192dca1df58f933510d7a8d6f6feda5031d799a66d2746c09f827199ad9fcbf11f323a636feff5806c9fecb2ac684c2870d60c8a72358562c4eaddb8

 Square = caa64c9f6bd66f76c99604d1f2b8a29a9a10c0d6a41cf32b5bc40edd7a1d97b295c63aa62c30498f15d70e427d5612ec3f6a2c1f2997fa9283f48018435fa6092269dc2e4ad524cc6da9689302f5c398d79e2b2d19470ea8240db9df0bc0bdc911c4d53f4f24a7ce44ec76378794d16d367434b4f8b6184c7651db77fcbebb8fcc5d3a51ee9739922cf20d4a8888139fe4669a164400
 A = -e3c4a10a64b7e67d786aeb81bb7ea14655637ce963f46cce59bc0cb6b5a9cb9c92afec3d527119db97bd2605d315cf28198992b4b2206e5616d3c560bc8163f56cb1f5626a7ac6d8427520

 Square = 429e4283af7f895fe732ee88e4904348ed01bf579a93cffb7aa8e135d41cb9be218f8b9a9cb4f556124105cf042de51f34c8162fdc7a981de88e005a014149c955068e87214c174daa40fbc618c536a6e507ebd313763fba197059d68c69bd39933d614b2c32f235cc955e335c4a37b9e98cd7f98c7f26ea2da932c7f82ffd95be22a7741da423123f8908cb188abc26afaf4ba6d47b56e11
 A = 20a5e2a911627544219a1639c3321bbcd6192a32129b248cf62351f85b7a719cb275a4e44368a74f4d1a307ffd27ea2cae4d8584a57070609a30fb4e365564908f3d501b53c1a54f0e37745e9

 Square = 9bcc8d423c3fdfaaaabe24a910e6ac3619eaa15e23b9f317c844d39d164c952fdf5c4bd270a83f3902e54d3817fd78c96018a706c1f652025dde0b98afe35597e0d8782deaeed23337ef6b3edc9317d54e3c8a57e4e7e2695f9d2681bf82927bab193ca1f135bd0e542696772f08520faab61fb4ea6ff0d15bb91f21e68bd7f084a6b8f24a47ecc30a779ee86610387b29a1de94de517f81318001
 A = -c7b60f4c355f2ca3937ba3c124eea2cd8d3536226a44afcaa3d17abe931c09ccaabf25a1986b172fcf46fb02a0fc36f2c163b6e42cee047c54ab05e9d30f03f6943b9fbab83aa6da12d7898c001

 Square = 45df25540de94883dbc182009c29fec43627d3e5758e6a07cf40064e0befa0df184528a84757b445dd079c2b0feded48b651ab18b4bede2a81796be45caad0125c3692560d19cd9a6c8c0de8383fea0bc1ab46f6aca4e9c36b26575cff88fdf1eb1e13182308295457374968fe3a9ca34c6acd24c753fb84d41246614789dfe154faf34fc684cd15035dc9c1c6b0ea171e089e0f3236840e355bd123ac4
 A = -216f8a9a3e54d4afadf368c2693743efd3eaa4cbda7a87cd07f5b1a713eefd2548343e7f091ee4d9d6ed1d4343c06a0597db0eb5194b91bf2c858210557a8288c1aa7b0e0607a24dcff9de04146d8e

 Square = 5cc707d97eb107c5c40c0f19fd432cbac9855f280082802dbe4deb45bfd193ac7a9149fd12c4ae6e9282411e2f1f2ca92135424f215b800634092ed4ff2859d16ab9fb8619ece41b50f8888d3e13773d38789e19158e18396096dd57fa5470f50b391c22378d980e59b4585f013e6db52c1e24c14ad83262fd37d42f52323896f7d4cb3e38868abea8a07e7ad3f90512eea001c5147645bf00396cb0e7a553f1
 A = 9a1d1b0beea76e7f32bde9f4f2c8bcff9094db2d32c04fb7ff43624b61033646e482aa0fadb9f8b4225b47121070b4ee5d6818d3606ed775aa631e0ed42da68c2a09dab26b6a4d09ac226cc09321fed9

 Square = a32fd053eb90c365e77ff47573a24add3b25b4c301f4c662dfc1fa635af8e18e7947381989b37a9c9de2713ca438b9f85890b7b160fe251933aa7dad1c3839d502debb42ddc927fa0e9b40c80dc3d408889be567699a856b1c9cf3a393b3b818432e95feea825c17d0981b942236b3779f2acaaccaf9a5817ca47bd03045fc4de454d8f1d4377e218c5f7ece369aacc35369ab57a71652dd42621491834119afbe729
 A = 33190b787a2c3327b122d1f5823bdee5c93b19b586ce1bf79d801a19b2558aafc8f6274d0908bb7a8362f7f71d3fb52b8ffc87d458249caba7af3a516ce868e8a620e3126ad43d6aeffee11866fe77677b3

 Square = 74215d33fa398e21c34034af6f9c7af6a3e01982320ec8cf23074a938f1a31543f80e6aece01de247668fe67f276cb4411db27666e1dc8fb2bfa4eb68cfd3563167d1ac4efa3361f920d8dd0fbb7f06362167f5ab5ecfb72956c20db934f67ff1c75aabb594c853fa61f43d219a3f5d0d45274005e3b167cfff5493b0f26d15f85d8e906a0a6e7645eac1f40c6dc637e6d1e061e5b9071a1227469cfb2c0f17ff983684100
 A = ac6c0b9c69785f35dbe244dc85a54313ef836ac67c853531ef5db45b28835ffe61dd258c5528b0acea50f5aa5c0f5d08dcb8d82ee19bc432fa8a45badadb50693fedc1cc79a17d63aa73fe9597f1d4ce8ddf0

 Square = dce5cac967c47b8a58ed6f1bb1d1e6185e849400228afa2bfa05b9c2dd327b04a86f2a4da2d02ea102868ea0c4da0f3e5a40bd02c87a08aaa5cd8d9358b3a5ebd8c9fc2dbb1268c261f46d6717b0307b993deff0adc8190d32b4f2bf695eb2cc74a6a9a712c5a621c673219ff8a24ded0997508f8f9eb1ea872008c46e71fa97f55b839950e63130c38b49c0ce3ce724a0e8faa9738d2e28ce6e7fc7eab62b3561d2981f314f751
 A = -3b735400064b15fad81b08362b8557f8318c20656839ffb4d2513512015036ab0039442032f1cf515f8c10c9933afe4206a2f309e933d1561b06bc665af2f04f4d064e073eed2280053f56cbeb137a9482c0a077

 Square = 6b619bcaf632f0d8b1d715e8850c0cbbd29ac6373a9a5e93dd1bbd2b82744a8a50a7446b48c6e215911ffafcda9ed7becaf5d26b7d6df7dc8798d53239f62a482f974bdb654750def1c941c49a24fcdfcfe73881b556a7b528d88daeeaea8d62b357211a1946c81cbf0819ad8d0188f60aaaab4ea2dfef7e9012ade7abeaaa4a23d7403c1248c36aa26b43b8e7de8a5aea639a0449f50359e9b4c1b125a548383af33703f8dfbc2528e4
 A = -a5ccc69663a8712c15f96e6fc746252af89a8c2a6317caef905dd2d8a6d4fe878ac7aa66cdb3c3721ba7dd36da310753dde9801b31d759339ac919a464ab52541bb2e0dc938752bf0f1ff7a9524eb98340d62576aa

 Square = 77ea5b715823045afe13d10416dfd46a511141a7d1279ebd624f1de428cc04a4f246246e65c3f84344cebfa32864de9264b2e54d4b3010c4de9d3e6a27aae8f5f9e9d8e49fe26b73ac7e65bb216aa6a42db36ac03d749b5dc04192df819631593202a58264714628686507fc5655f169483b0ffecf45995cbc12faa105895564d287a9f4b220947d6c93786c85b2ee84a0a29183483f7c241d6a67fd0b1c38c7f74421355a14c6d9ed5720e24
 A = 2bcd67e6bde3f54c4ce0ea428418fc5c97272217c6c7de90549238ee322810dcc1bb9385967673aa3f9f5a5c05d987c6445135cf1efc26b3c17e55b93cc052761a77c9dcb5c22927b09e90a92e053ec1bc799bbe7597a

 Square = 40d113460ca3e70545bf3613c2ba5de5d8485641ebf531a43b6b8bb76884ff4f348727ac6606e026981d2116ef1e60d4b37b44ed7e2003410d7d636b58aed2f92e962003f28342aa5f059d23b3d58a1ddfb47833ffe1d1deee0a7e78b8f7d9d6487f22376664f1ed9ddb5ee3d17f43afda296bead11680fd17576a122c2599fa9802ddd84a2115f9fda03aba898f66e303895f452077c920a322b6aaa0965f51fbb36f01b1d412c6ccf390da050d24
 A = -80d0699a46619db033461aa6060983def7deeb976d1a71f5c6ddb85e8b46dc70b7ddb1d254971d38ca87c7ee3905e63506c6db105dd683375f4239523cbf1874069266c2c0f4b37edcdd261c51088081d25813758bdbfc6

 Square = ace99f98cba0d1dc1c758dc7211aa4078a2aeb6d3fff19bdfa6981ded0982b15bac792e6b542ae48a86f9b40c6de937e402e230fcfc390b10c3e60202dee1337ab39da7a342999487b8d8b0e494f2809cd1bfdb39209da5daa590f78ded211b6bbd3fca9013300b951d8906c9ce8d1c0dd9554d5d1d352f9784f822c928dd9700ef8a5fecf3771966abb1dc6a70b301461eb6b6087d6ab80a4b624205489584224cf6578f75acd8091fd621d02306504389
 A = -349936d60c9d77a0974dc8985930d8674976db6b3cbaa067554ca6b30b1de33f2d4e1c9564ce102ac6387755aabf42916f63632a375d995913f9d45ebda54bee3fdb7cedee46ebb5c8ae7764e4de323c17c797d3b529230cbd

 Square = db6c73be2a59bdd35dd312240aef18dde4231c72aa28551bb370a87dded587accec2279bea24c930236f06f24d537fcf242497aafcbf72f085fd3ecf030cd750fb382efea0f82ad9d3195680324d73fa99d48802d085c150164aec0d29fdcc3262264bbe72311f89989cc71a4afdac6ab103ab4fbb6e973a42a1f8711bee463d198f727dc7bad848ff8fa77cd3b2f612d142ba46e95bd79a86a1fe4c2b8f9181be84825d05989695842113828a83b826e7d2c8c1
 A = ed01dd49d2e5d51fd30e9c578259cf107771b4ded6bf21f8b9b632fd360e34da740e0b1af6b5a67789fda5a44025af0f1547271ca8accc7a975d98ea7ec3d41c9697018d84ffb5d49b88d884ccdb011f715a199ddc44a4109261

 Square = d6e38250ab89ffe11abaf8c5d07ba11e9053f1924ee1228f834111af16ed282389d04330cb0f47dbb186dee577aed82878ecb065b759312eaf167c4698eab5ed03a8657341bf5fb14a8e28e3b443a6b657c1f4379ff2549498a33922ea84f1fb19d10866fb0ad07ce1cc44c93cd4d9ec6bbb0e61c797750c6b5d7e8d55499655dde112f4747798f0e985fc2b937a44da9b04c2dc4b0816cfc57da1f80179db653c1ce287e786ed7eff7ad6d1383fc6de8c941d4af7bd1
 A = 3aa2e696ee570160b2a869c3f21c3f223959a185cda2274feea1c829af2234c70a504c959bcc49fe0313f4f5ffd27448e28aa0fc6ce24f36943d334c626459d7e6017339e787ab074879ebf697a93ad93835d69ab09294d007a0837

 Square = fc39360cc0fe040b6f8340e0728c650e5e74cf1664f7b301e79986fe066f36e8df34d38d1a06b74a1bdc76867baeb3f39a9161acd200bc7532fa4aa0ea829377659646f073db82ee044279ae5fd797edd37d3261970819589853cb320887a085c4011c23d0da9b6d6f1b5911bb3399146c2912a967ab3b3f611f0bd52e00f418e6a6f0297fcf5c4a1f71c6bb8cc8e1c76694bb7301502d1d00c8b6c05bfabbf5d350590561abf3e2b1a82e98b56583e2e4e25cf707320a0e40
 A = fe1acf3d7b54e718c901c53f365894c22c8bb4182fee8a4c2558731e01e1519bfd1bf6e353483b8c4219453fa66f06063c6c99050068c15cd13cd1648ffc42b5badfc70f6fd4a0a5552fe637e54c4f92ca45c60cf9a0163978ac08d58

 Square = 9abf1324ef65c726330f64643a024c466fad37604f4dd3dfc404d31c2a430fcfaa0c78283666c15a094d494b96d3c12de6e29a34d2c99f4f8cae8217bcd2a989d59807ac68c46d60600238a86155de499eeb35642d0f581045481b40e4f0a76905f9b6bc5b9585f77f8410b99333f7ea983c3f29f3fe66ca7b793b784a5a6a4f74512aa4385dd1e996832b1f41bb3af965be58c4ac5e867cdf8dc6a4f9d20a6f1e16e153fcbb45ae5fe8a798cb06a4ffe467d6b6aca2b31f335a344
 A = -31c243593ea611dffecc65d1439db345b2e89941113f9792c91a76b4890db6e4dbaf1482ee812e295d27956e48d07a14de38357f15b5931c5cc08d1d248df7bfee1cae5b5ce98984c5043a3e1a2b449ba1671bf1cfef91011e12bab94b6e

 Square = 66aee3e4f43c672e0478c76e2092bef33e7c60afee5d4c7defbcc5c0c86d8fe956c90a740cebe604224cc3f518463b1208699b8ea2316315474991d0f120ae905a67028492cf46fff2ae244869db2a02d06aac6ac6eb054fb3c14c756d8a3e7ca64f06586e3e86e4477f185ed527a8aea6a3c741f3fd4b64a2ee77ff140190260c431cc53f411fb227377c02f85d0258a75bf6d44dccbb8bd04ebdafa115dd55b176b6eff5567e5b1bedcae15110826574053681fe25a695ac4540186e90
 A = -a221dfee30286adc076673cbcebd24a41a438a0a7a6a547c75d33149cb1a094a8425feaa5a23cc234a722db4cca8d5912fe1dfb6db4e92bd87c12f0d06b6d954fdb9b172955412b2eb5c9fa3b4df2933390384fd1f929a2b1a8dac479ec94c

 Square = e880f8655b51739e34393c3e6d69d63e0256b1a887f7e69f40c78d21133b17e92277a136f5e37da2533ed599efad189975d22ad0340005ef58db0b471651d749dfbd48b3f7b3b8a42d4677048a855e99dae6c729d8bd7eef86911feca9f5490dd216b06d9e8d1ab695c1081e72449baad28dfe113744853382901e6bdab5413c67c52d6cbbb2e0bea711edbb3a219a4046e8739c04729cf8c8210028dbc4087737bc6c1d7e0c15ecf16774690168342b1372d3646d4d8696384bc932144c98529
 A = 3cfe075d4525a3c780d6d05f7bb708b2fdf7277a0f9967e0a209fee9d42136a0bbf98660d8ee8cb4720a8042da09f6271c45ad13db24eaac465f8207f78629e9085c1c890675f441c78efa38e5022b1b80afde5e3fd08e55648f2817631eb6cb3

 Square = 8d6cf4eaf58099b1323fc598b7554b371f4afef5ab501dd162ab8429333d46916fe15dfc4ed6a99ca7fa7fc1aaa0cec3533b41e291fb7f69b560259507226eca87aabd07b1ae2eb93bb53f98fec508f051cc04db4a172901e06b74229c4fa3f550a81626c7a63fa99d41e46c2cf792287a5cf7bb68946971bd43c7c0356312cdc25e524665dd39a24b6464bbbe64fe8e87ee313b860639728a9143c3a6118bc8b150dde6c10a13bea637fa8873c393e6338319c506aec6ee973b4b52a272a74bb62084
 A = -be46a8072aa44b3bff0f90c81474dd576756fca624c15f55a17e1d0bd2842467ae000b04f79f561690c93ca7118ce17ecf830a8da3678c15436876d2a74324d9714dc8ad8181904be657d7f1da3313b78448cc06e32299a09ed59bfc1961e8bd722

 Square = fbaa4fcf9800673fbd3a132305ed3e14f4889518fb56ab82aa5e9b3529b74d7f9a467626d68f4709a2030264aaebcf05c0a0edb511e81f357d85b79d925a24605f1bcd4645915bb75d363654b676266329df532cdb39152fb360df1b9500e0c296014289650ff77faa78a604397a82b34d16484e94a8de123fe720e514c88f11ec276725111563db91477480c3245542ec6bd0bb2f4aaec02c6c4eb1769030a31b05da3798c224c9117f7c38d3e98a343fca03ab584ec2d7e6db60fdc4273c3d8e23cc1ce09
 A = -3f74b25f2a9c4d8d977e69a4e067f9fcec281136a508e365b282e5fc3b1d097bc6a0f59f7827fb90d4890b08840a0a1919032c67448f8f1a771f785a0f125a4aa4137c154fdb489dc1099d57bfcfc75f4ca5e69f93f2bb87ed09cc0dc620d3e76ecd03

 Square = 5135becca97d93dd4b16a5a1105ba3a3e3fe02bd6a7c3cd182186fc63ed4351641182a2727ab6715e9672458dfbc31aded4781fa345054eb4c317872e2af6d4ed64b2ca7e8c25e1e664b5349df937118632a64e4ce439ffc625a5ad3358270dc83fdfa73c7afba03406094fa36d87517e5e2e1fee5526fd2dc00d9210a0f6c3745b3d4bceee5f8b03d976d696c57a09d1e08e4ce780972eca4f2ed6500c23bf5782c31f13059e48246180fd09db693d2fb5d48d51846ece8beee45cef7efc87c003b44d7b137a900
 A = 902fbe2127354a7df5cb7fd057f3d080a7bebbdb83c86a50560b8c287a37a841bb9c8421c63d359078d2948b6b57559f98fad8f8014f93c912cb70a6701c4dc4fc5e88aa413fcfb685c32975a8b72424742eeff8262d28cebad00c5fcf88baeafe8f6730

 Square = b5976cf6a6560412aefa6704b126e0d987dfcedbb4da436c08ce17b1bf1b6e0bab9f934abb5c4186a5415fa38724fb8fa341d381319e7d768209ab108c8debd99075d31deb3e03ff7d23957d4f3204d543b7d9079cf337be3037b1cb4908fd8c104d92e52f041b4cb27c045a741f4d64009980e8d27af75d9493920ed98c7234777592d6577f2d1b3a0eec645ab4cee2f28d9e4efd3e4514db6796487ba68a462fa0e316e1420d6604db2b901de46553546cab42976fd0d459afd81196275cd88ec4dd448ff331bb35499
 A = 35e700e034950bdd7318d5b3c17e90a4772ecdacdb055b9391b31538eb823fc8a4599f029e78e4fe5299ba1a423a449dc257a431d189dd5dca275c02cc1f12417e111c73b731631d8a1741b907dd8f24de226ddf9e3044cf4064e8e51ebd55be774be7ad2bb

 Square = b7de0f73397893a97928e266bc56299cc8d43b16a251992662646072b58fa578ca80f7be1e12619012b130e9514be803dc166b12ddfd26f558d36c2053ee6209b01458379e49469753300ef20f6b3dcd5383b121861c76ab25debb28c448ec33a81250d05f7eff80a5a4133d522d270fab29f739b607395a77278609aa5e1a55ef58d1d48492b71ee30a24a6505aab1a3ac22b9d143c9d6781fae14bbb980fe3a99dfa9a1a406611d7d0304493342f53faf5fd79f9c96b9583a219a1b22aad02dd58f32ee98146b3a8cf054bf9
 A = d8f4d3bcfc7eebd7068b851858c3668ce062a834927e165679b49132d4f780ca682876c65c7cf2e7ce34ed10e43696477da6301d13f92abb8c76e2424c4bc28a6565f15e59563d607b852dc946652b68fbfda1c3200ecc2976400ce7296b96e75fb059a4c8eb5

 Square = 5ec02661f49fb9807bb73debc3c6eccdac1df1735e0d61fa7e0eee07471068a5809796a2af490c46a77d61f618b44a3168dde67aae1cf9e530382411056958d55bd18f0e76fe2c31c98b00f87fcb7f5691ed5b65424f82204156dc361ef6dec5d44cf690582599b3994ee47ef42850d5d2370a4169c5f73942657f85422ca24f66943877f73af493c865fbeb29574cc1cc730e9bbb097b598574f6b90257748e950bff867bcc01bf62f8df67d7aee1b6dc1d5db88826e86a3f9fcd8663e09cf8393ee71a09c43d0d38ba6ef643f4ab1
 A = -26ef9b6708a80d00f4d01e0f0a5546ed217085ff23519819ee89af430580ea1f086beb0eb51982682c6d3b922a2c92752dce63657836223a9d94964bd584bc8e37c6e30fdcaffbdb128344d51a92705e1c9f94205ca36452c15a08f7e62e0e02479ecd48085de8c7

 Square = f6364409467a829abc2b13c93979dec84984caa12154b7cda2f4c8d91bf24ad7c45a968ffaac8d6722cc26e6aaf52dd29ea2f09370ba46d79684b7a06faedcd17136f35a58e5b550f3a2caef7b195d8409914fedd3c3154101bd735155098e8b10fbbb1b2e13555d2ab5d5b52b203d4efb27e498b240f37178f2e89b413f94859b0e8b2ec10b926c8c0b6f2937ee2d0355445364841c7e0539f7073b88c7d568edf1b253f3c10627e22c2ed731b7d4d199449cb0b5e7a66109932fe2c9cd741d75170deb9f98469049549c10a7a622bf6e91
 A = -fb0eec3246e99212879e51b17ea6615275818ecc5ea3058b13dbaba2576ef90e1519e3629b09fdaeb02661091c395c862b848f6326b9f536f7af45718c4412f09f19261b537bca36742d3ec66f964343516aae2ac27e249a15beb545b447e37b4062180f6c82809429

 Square = bc4193ecb5dac900191e02be06297106155c6840c4908fbf6e41e9aae137d53c3d4ffb87f334f49837dc4ab7a66299994e4f5c9bf6ea03e7db663bdef066e94c610580a8896a9ae9c8f6587eb83d789683f5d6391bbac3a1dc1de60b4108428e6f5fdeaed6cd3e74fa01f85c6368023b61a413b69b14276b66f22653491e4f25790985053d075387cb13c79dcf963b6d880d01174314921afe1cc700c02efd2979dcbc59c417a6316db9ac45a2d60d2a036571bfbd75f9f5e42048ca086cfb4b818a9beca4a6e0ed51afa320ef3549151fb39e100
 A = 36e1f16043b4c9b4a304496c39dd63459d6521d2ac92916d348daca3f972835973fc8d21b07b09d8f5e3197b39a8f3fd0011168b815d67c48143c413e169ffe0f56ff2cf8b6596bd0a3b5b7a6b9a14ffb797f350b7e6aa7020d84d1d1b8006850139795abe2c74f03b8f0

 Square = 4cbb5bc1dd7112326e2c94581f19efc8fb25339a299fa9c007114c3a22b395e9d39a8ffe21134e97ad1b87b97e667ba48b2a40af61afc81fb1e20e8e38c7ba666b146016af4dff3faf5de306591e5ce6eddc1173fdda6fe241a9f2fc6e054c41e56d296f8954377df0d140096b9e9d6a5a23a231db4dfab0cabfb11190c7a0d1c55ae35203836d433da96ca7339682bac0a7edb8b5b4dc267c6e83ac9b67a0d0d564717ee3c20aaf52c0a750f3aad94a12537c6971ee009d0f82ff576e984b06c7f7b357f5c049454e31326b952af17aa62104780e9ca1
 A = -8c279ebe466de3115b8740f3ff9c1f605b4eaa75512d82fdc8ca5ce84e11a68688154fd603ae1d607807dbfcbb822a8dc259098842c6a7b7ec350be29a3daa20fd5b093a56692e9d42e7a389c4ad2122a74205f835e268c9742d09ad36238c34e143f6e2ec69c0f490d29d1

 Square = 4f771ade09cbd1a033d2bfc6036fe46ae6c12acc6f2b9bd52e7781693fa6358cf93089f23d1f0ee6fca476a43093b9b52446f3a7abd72ed0ce9b562dc438822ffd84bcd898ef9d092f1b0b7ff89c4fdb33d8715dd4a0d68ec49ad41338fbb62ca87867d847a4d99310641a37ea78b04c85606069d0c0950484ddbeedac8ec6f95124e7fd83da4e942d40103bc14474f5cb125fa0b06cf167f076979948003dd8dc3711923f5af5beb5f56c0a48ac0c5240b62738c1cdb06b87ac3dfa17befbe938ddc7281f6c248c41a1c7b99b93f69fac83a46eb298a9fd8b9
 A = -23a845bf2007ba8480e3ece0a1bbaf8bfccba6bf061e3fe1d8bcbcd6c761e650891c0958bac68618a1f55b27d2bc6e1e1b50afc29f58e2e034bdda8405e5378cb5bff0d84efcb458c5428fc607597d89d589d85d90f3da4b89a64c9d1623b98b10518a6f2e7d2295c37527026b

 Square = ab45d12a4e15a294830741f4b9d4a14cc7dbed1c3454612047f890211c749d92ae0418f11cd44acbf1585b1f7323b33ac9a4b13c44e1a7e31b0dcc1c6dd4eaa12a655b5de08f3b948270a152db7d9e04dc54677075797bfad6a9a0e3958458d40e3df5e15028954bae99518de4dd3adfb2ec4b38897a8a4e4807849e1416aa4040c95a0e49a8d2889f6fb0537875f87516c3723e8d3b46da8da855929c67c0eb83daad62ceced52b4f52d2bf1c4e34f26bf16aa7da3afe0f5df76c0858ed98f21e1fc3d01e1572715b774bd5c2faabec5fa3fa59a7a1f32565a4f1f9
 A = d164d875e1f766b4567e9228241213e69d6b6c58620600166fac56938c5d9643932d01f1f4a2263dca4b9ad26dca1548e4b5b7e27581a63375d0e624f4e4c99b7fb9aeb25307c61142760bc4771e48c7ce38f5eb2408def632096fe40b80d488fe17a455d80edfc1c23c429775b5

 Square = 5ae4e7dc5727543af39ed3d5e9ac086d1a2220421231b82f6f41caee7b9815b4049aea0d43ff499c6c9e1f226f8641351d03f37731c64686d9a9ce68e9234d6a762efcffdecd42f81044111599963d9b6873cc20bf4c8284fae03d2e4f238a14a74df4388fdc80fad0375a5d0d974da7854ede5896ed2ab25d2b49a3c39093600f73120e4fd2faf75381854f6ae80f81b977f62fc72f1fd01c278d183544052b77bd753dd88ffdf5c01745521fb8474b5c23b0b7dc709bafeb91cee0863a0c23ad7192c43cf15fc181d629853cb9b8334082c915dd3d04e3a0a81511d2e84
 A = 2622a7bf45ccd3cd567c757f4c5796b5a0fbca555bd0ac2759c24083172d82d6a887dcf93d9788fde052cb20a8963cb6db22bf5eee6151600f9d1896a7606b11a1b100cbc0925bce037bcea57e361efcc560a9abc495d7f7f45831c6429ac8f979dedc08c304f4da9c0d4d687376d5e

 Square = 473cc933f5a650a4ae358c7f486d325c0e20c83b54838fc08b6ac3ff010f7c4b6a609bdf472974dfc5abda0c6b33c5ec7dc4628d85cb4276108e2b0bc4e19cba135533b3d7bb6a94332aea3165dccb230860d2353166b9905635e606185b014730e9dcf2c433e18cba83859fb2eac4aabef68c8314ef86dec2d534a184ebc4cb193643add0897341690cbe18bc2e775327fd7d71ffc7ebc49bad83cd68394eb276b2e615ec430180303010a454ef73b6a8f02bc48a1fc8a32f8150ef1b733f07da752b8e808000329f4924976bc8b8573927f18ca7c88c210845de6dcd0dee2904
 A = 870b2c4b054076d0d02877b19fe1210a8fad3422b00905a6db748239b8e807716ed9fee0d8c25496593717917edceb5db57f9960bddc1956b6652868d6ace82827bbbada5ae8c15efa26fda22657126c6300906f90e8fabfd58ddf312ce0eee760e0090fac44f00378c676115cd0639be

 Square = b151124402d2f04b0e6599222d380dcf67b9716ef50d2d9ded0b21521b34a7294171f71b41762511b7cca93d9f50e9e30083ef19144882928011dbb143807d1b88c55eea6b19f0c4180023be6da63a59b6bc027aff3f5abe2f65c73b2de1e71c5f4b248bc4547040764e83a860cb3f882bb8b5f7821f92802808fa37c50f2f94d8f56daca841f42d3362762ba843aedbd03d3cdda887f75ba92423965ab4256eb842ad755aa7a2af331b488186f891065b07f5a299c807dc24fc176e085a8024bbbf12f386ef49ccc91bd4ada0936b6de78088cf5952ae6c04f6916799378bc0ede0da4
 A = -35439da9e361700152a35ebdea253378a1febec5f288e5b2bb0bdf25b84751b47e4da5aad7453b70cfd6640d5832237d2115575c738482ac6036c5fc21a981c0a7f979c8d621a92c02166b777475618aa6362a0e225dd6138ead3b2766ed9785ee01e4950a863d2fa0b7f5cb4c9a108bb626

 Square = 4ed7263ae5beb0069f24318b38afe951a5a058a2e960e67f086c9680d0cc6d713f943812070bf94152f7926bdab9e5908941261244542b832f458f05ed5dc048c8b9eb84c2a85efe717e257796b4ca816948a6c8ea209c0675efb2fb5af4622b44e36066593db01b17f4dee21d7c1337ff41436cd0e5a8d01e4030dcd3d49839e59996fbbf1d39bd205343a424f2395b4d3eacdeb9ed3235d8df0dd00a2573260af63db3116a7c65d1dc69684a05caebff34e3d2cba9d4869a953a7b1fce10ebd008cba021008ac3187bba846abd7b39a1b97c9c07d8080549e313dd58b716022de3c1920329
 A = -8e1141dcebae61d5c4d81697f001d792ee2e847c589816f923f0ed42bb4de0d8f911b8ca47ffe77f80b9da6896a9b42f0030a3276218868bbe1a3fa64fb0a577704339af5dd82e66780da6f58900da3f1d75ebfcc302f78ed66ea3c7a737898a29b1f2500686b43bae1e6571addd2842cdce4d

 Square = b09f5e9472cbb75070a67d025957fd5ac3be89c41e4acbcd5f75780ca459562461082c3f19c5a4a416a668b0a55f31f74cf2ec44555ddc43fde64da0ba781adfac4520dd0f78d04d9d2fd33d8b49c72663a6bc845015523e2e4e7ccc69e5b748b8b891e4089420bf0a3f6032602824c7230b5ff95f85a688dcdcfc890af3384710a9fe32ecf9ad7c6cc5761f13079b19d7b2906c7e63c14b64fc88c6f4bd7c41c0356c777d35c3626d49db8cb2d1e89ce682c7fccc3a459b08c20c4e5fc3a8eced9b37d01bed5af6ce9baff0d2b435e6e62871fcb20cf9ec10d1897a5c76e73a441e07fbcc2d9f4e4
 A = 3528e6581de547de385c93ccf1086a17614f23356a918b25bc6d73656a2302b318963bb679c9a93357f4a4f614e74f2e5e88e9c8aed8a6fdd8434630f664ed15ebb6095cbff1593f188a12f4dd6087a85b202f6c24df68ac3b137406c88c5098faf47d1eeec0743b35baaec7dae29b5a44eb09daa

 Square = 5d5dc40783411475a4aac7c1a1eb760f76fcc6ec68dfebb754251cf499870654cd309422935ec841e6be4f5a15078356235c2b8cbe1ae755cd6d814e811072bdb76156b83c7d2064a202ff90af1e0f88f5889e5729a3cffa9faf33c463b74d0ad21fbb4473d4d3ebfa8a52e9c209ded5ce5131b12b69747c365146fa17ee5810e0dbab992f9da28b6c323062484d62472232721d608cdb9b5a341a677e2d7a6e5a983247d9a4001e16687b489b10b18bbf205f982b7ceee27cc3e9c6641827ab7952373f15d36e5f177b82d7eebb3f5054e12cec82c5f520a2675afdec6cbf6235d358c2fe73344002e400
 A = -9a9a19fcdf11bba84b0395088c5d187d84d69b68b77bc6418f63c88bbd8dbbccfe02917d814f9e2241fa0709817a0c85bd554fe887babae7439d96248514c12d71587c906247b3e965e954cdd57f1e51f1979f73c3237509863169efdf281c1359488daad3d9eb990a50ecf4d3fd25d4820077832a0

 Square = a4d69ed4c4c9c08116ec5cc49ad458f0fb2ca00f356aeb148f18037bc49621e14820f325af39f3954bddc9cf01de7ba1e443088545883a94c04ff41a7ed5f65676109c5b711b4115775489667e00aa1b77f6dee5ac5c1789bc71c9fc797abf41c7c5ae3e2c1cf82d5b49b6c0da25190dfa9360b99b2f63444d21ec6114038b8284bf598eed24a2ab2b9802d6edd5b0fdb52f60621a87a14612844ffc71ca98180ff0915cf75f47432f73d28dfd7a932a125095655f07f50722b1673df2cc4f7566a1c6035792ff3f02356b9b9d25e905121df768dc6a1884cf5483eeb813c1c009fe4ed043febd61800ba978a40
 A = -335b12e40bfe0b847ed6ec143490df33d2e64ef4363869cb78dec008cb5cd66ea671dba964a53e48267da288ef4040e06371e1209691b81df02f2c86a79cac85fdcbb6732a1e5309fbbdbcd899fdfed18518d47258c9e63ff7f116ef4a8f5c4867aedd907ccc7d222cf8087afebc108f2a0f197c717198

 Square = 74dcdacc1a4f02a99e3642f54f9d917b117d2ae8d9c392f8b6dee53fac66ebe1680c8e8cc29f5330e0eed3f63d10980060799bc37b34c93dd7b384d4ba30a5b5d42a145acc412ae838d7b9b7137637546d1118f7cf3eadf88b785f0aa01da8638f027c56faa16aba8591b64b45dae6138c9a40309b2ad29c5029a867465f9c6de8fbc5fc4b0442c8a8946272667c7622454ed6f2a236103bed7697dba20db84b5154ff3fbc6b4b9eb67ee43bcaae741d87ee2093ee67defb8eebc4a4a22d97a4e2aa7d4c31a1c88abf4a440ba4e2a5e40c4d903ba5ee4d80b4e8dffb8864bcb9806e015c1ce16490068df87282393111
 A = acf70350e554732c1972903cce269b215e985ecb8d6eeaa67fd5398d0a1b57c0db63368c0f8c2288c3a0466e2b3db081106b90920c46462faf00b5bd654f7140a689b78ef656a26b82af8dd1988f166ea04e9aa777a094d892bc7da4bc7bcf0618526f496cddea6d67df7bb0de9e99a35a0b1b210ff07497

 Square = 9668b9e40a8bdde3c93943a918ca71fa0009cb05a1f592b2bb2c6c6172b2950719bfd80cddaf45d044cbb6aa99715046088f40ec6812945885679231c07f4200023548ead086b834abd8c8f8294db28b203329553242fd2f778ef5cc5ed0b48c7356d8c2d782a01809ccdb6b012896617f11d963300e7bd38ff512829514d94343476818ddf9d712bc70cffe7f767a9fc75a5630e6250ed45e6831b4660eb49d47dd1b8b6a0dddf3fb3ff0e12834337f145f741f70a2aa43769af50f099e004269ac47fab79e060800dc74da88141adbc46c15c7330931e3a2bed9b958f78b30214f81a64d121f96fbcebf7569fec0cdc6b11
 A = 310e7a40667d9d5dc29744b123cdf6a663a1b995f62fa9d4d853cbae0dd23669f4778bb2040317ebf6a06ac6299b21067aece5c5c1afbe6e789d656745ad66464991cada0eb237c6ffe991cac4670bfc90eed5f8c75073f4f846ea244bca0e9502ff56f8e9bc9b6caf275aaef38e26566fef35329ca45392069

 Square = 49e677c8b052b7db97542948542449af47e14248021f8d3d3f92b9af41c803072f71050f16dd848aebb270affc47e85427a7c73f227f0d63f140d0d293157af0d972eb5b38de494fbc78ad3a4c3d1ab40197bc4427752b6102d1ced6d6cbc9d7caa0d1bcc57e708535822180055ecc9d9667e0590274b778480a3720823e931ff6daef358b1a1a9092f1f05fbb5b10ad5707a124e8be63bc696f083eb74e5b4f0e3110de8f297ecd30dfd2bcb010dcad4e387520d3d00365fc51c2a3dfe064b1ac77a9295f66beffbe5dd4333e5cd823b0f36b0b94d66507b1d9381060980f62f38a62e38e5a75203233bb8d64089bfd100f3205f1
 A = 898b5f3655de74cec3b0fde2ab03fd18cdbcfc3eeea48ba39317d26917130c2b78e05237cb0454ece268f091cab699fbcd51ce341b53d6ec0cda5d0d5388bac25c6517214a39d03450ef8502e1675bfe8e57bb6086f10ce4cf8ce65eadc865b5bd8a00dc26394f3adb2ace609149e3582cf44246184b2adc0ffd9

 Square = ad00f10fed55175159b2409dc80899f9113ba7c8099d0402ec0f520ab4aeeb46d36369494a4e6fa23675adb38148fd2efa082df5094c0acfb77a9ab6ba7a299298d69b04b58011c35325f46b765e580b5c05eca721904f1fcc355dbe39faa92af5c9a6dbc4ab80e62b815b45983d9506ebd52b9efa7a6b9da352d1e4fd6ffa81d3b4596a0c14fb825297da361461ff2240e4378340d2ae529932d78f3d9f6b3c6d65d717e66122e5f590c50ce0a5d81ad8e0f24e104c0913cd8d0eb2de4c8cf62a7535bab5502df3fba08bb4dfe73d89c8b00edaa7d5f3274be9959e7ab6b6dde54f2491728a1dc11fa8e1c6a95e67eb7617e9b7471ee40
 A = -349cc2a5658fdbe9ba5c350d3b25baa38b1ede01926694bd550d36883e53d8758e8f1ebe83e2f4560605510413a7d880929e2d9cbc2730b1736dc2689cf7bbcdc68a342b6398e547a9bd67cabe298796d76b98ed4c1dd9c22e36145892e8fcf2258529aed24252a70b6ca8fd2aad8a84becf7e1bf98b1e9bb024b8a8

 Square = 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
 A = -ec953f1b7ba7d561edaaa23076987daf86f50e9a66c36f0993290549a9006dd9d424885c0fa77295cfe34fc81c5edce9e2371b3039ea18d8f998d1956196284e6d81eb1c62ecaa8cf3fcaca28ca7e64342803c8dc3c139080bdd4a1ff30d7288b085a579d9e90903bd363b48f2072bb6fbfbd9ba2cab30a8a63784d246

 Square = 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
 A = 358da59ef65f62f633675764e292e5a68879df24a4727eca1fc4d232b3a6d936976c92eeb11456b5e8c11319838c145c6529d2f3acc828e55b8274bfe9afb5db241b102715f8e8164e454ef39f13ff1b37cf367a5a66c4f743c750896b7c3c29026e448bb36c6c06b0d9a3d048086ef0c3cd922a02e794223f388b5d646db

 Square = 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
 A = -e53ad05c88568f09f616797f0b7f2756fb543d691ec2a5b645c1e5892a247302826419a35b1348cfd2c1c569c23c31b4c46d6c57d4a488c29ab5beb77904d4adfcd0a01ea0a26bb0cc8790441cc2c8c900f030d7315b4319f1a3cf5685a140e03abe6b94730ad79e8de1f4a0cded86a3d6cfe2db267fa7dc9b2bb32872a90cc

 Square = 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
 A = -3dcb44be1e54c5a5d7db48055ca9afa1ebe2ae648aa6e16ac497502a7deee09ffa124720fad0ab163ce8b3ea6a90f110ea52b67dbc424d0cf1e8c9726dfd9e45bebcefaa5cd5706edeed27896525f31c6bbea3d67ee97badefabf3e2532470b66e3ae3100f66ddf50cf02fc3a8e3f44c304251d3b6a7ca3a6e4bd5d16a41bd97a4