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lbcd/btcec/secp256k1.go

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Consistency and general cleanup in btcec. This commit contains various modifications for code and comment consistency in the btcec package: - Call out references at the top and reference them by their identifier in the other comments - Remove a TODO that no longer applies - Add comments to the fields in the KoblitzCurve struct and reorder them slightly - Make comments wrap to 80 - Cleanup code that was far exceeding col 80 (only function declarations typically do this) - Extend block comments to use as much of the 80 cols as available - Add a bit more explanation in a couple of places - Update copyright year on secp256k1.go - Fix a couple of typos in the comments
2015-02-04 21:56:57 +01:00
// Copyright (c) 2015 Conformal Systems LLC.
Optimize ScalarBaseMult Code uses a windowing/precomputing strategy to minimize ECC math. Every 8-bit window of the 256 bits that compose a possible scalar multiple has a complete map that's pre-computed. The precomputed data is in secp256k1.go and the generator for that file is in gensecp256k1.go Also fixed a spelling error in a benchmark test. Results so far seem to indicate the time taken is about 35% of what it was before. Closes #2
2014-09-24 19:41:07 +02:00
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package btcec
Rework the pre-computed table generation and load. This commit reworks the way that the pre-computed table which is used to accelerate scalar base multiple is generated and loaded to make use of the go generate infrastructure and greatly reduce the memory needed to compile as well as speed up the compile. Previously, the table was being generated using the in-memory representation directly written into the file. Since the table has a very large number of entries, the Go compiler was taking up to nearly 1GB to compile. It also took a comparatively long period of time to compile. Instead, this commit modifies the generated table to be a serialized, compressed, and base64-encoded byte slice. At init time, this process is reversed to create the in-memory representation. This approach provides fast compile times with much lower memory needed to compile (16MB versus 1GB). In addition, the init time cost is extremely low, especially as compared to computing the entire table. Finally, the automatic generation wasn't really automatic. It is now fully automatic with 'go generate'.
2015-02-01 08:55:16 +01:00
// Auto-generated file (see genprecomps.go)
// DO NOT EDIT
var secp256k1BytePoints = []byte("eJzEmoc/UI/3xs+ws5OZGaKi7BWKhqKU1RYaPkaDEA2kJERZaSdtbZJIRkoZpSVpb4WUREr4+f0V3/sX3HPuc57neb9eF/5HT12OJPy+1kbjUwxYojoI9978SCNZij7p55KAQTuXdaZTbogC2CUE4Z5gMzCa0MXzngnBojAJas8GDFQ5jw9KBgmPjeKwA+KQ1P8cRne1U+S7PHDIS6A+h2R64/OLxNb0QHhXBwRMkCXZ5rGg/u0EG2m+hpyUKPr1KpP6FIfRqHYCQYtSXrrDGvZpiXChsjCYKKzDN8a+qK0xAJJL+jhX3Ypm1ZhDWvcmfq96lb5XFKPSWwl4FNPCsUvPwqMDmhTwWoSPfvzLjxPOkd+l8dhvUA6YM4lflYyG81dO8Jme/WC64BWN6VhFxfMXwghHV/C9dRSUH1ehUVYm5txVhNDZUTAj/RXsmhrFBp/P8I1Ns+nYjxdonzufJk53Jph/jM4HS0KRwAgcuLgIvjecgsei+STvZoayGpW8ffgOavnpDEnaInSvXR0evZqAB+fdhn/uu3F+3BWstH3AGx7OgelC+zHztCbujNnP7vOU4JHJZsiPWkSrPkZy3jNx9vpRhNMkRuMak+vkNC0TV6pbk2qKFZg7/MOCzAYKvpfM3nUb2ej9HnI/IgexP+vRyKcJi0d3w+A3CfCW7aD/JnbA4aYzNPmZEkivuIHmr5/yM3l5utmyl5aNXga9syTALEACzN+fg5W9FSBecoG3up4F6WRLHjlcApKEbGh6oTA+KBaEGWebILaxkCKM8kkCbSmyP5flklagY/s+WiC0Ac3UivGVqxIUyguQeVQ///TbgZULQwn0s3h/QhFN/NoKmTdXwucvv9FmhAb82zyPvlknUmu7DoplOuH6PX1soCWJ6xZcA3eHt5A06TxUxCuBRfhoyD3C8FrbngLir1Dd3M1YYPOEA58W45PDb0hzczM9XGACKpLHuM7/GKVOOcSis7bCIoEyejppHXgMOJKDySjofAastUEFdpWIwO3gjYzOOqz+7SzsNHmGYzv7aIvcPwy6VMnZHE+istqQIxsHH78M5ysDlaz7PgiTJ1znxMnC7OAdQnn+H/CEyW+8IaUIgkpX0aXjJLdhC3jt30AuGY9JReYzL7+5FLoGWjEsLwIj60cO6Wonq8am071BSwzYPsjZi0bDvOa31Fo6lz/U/mLzymy8/ckEPDaYsK7LYdh3Ope6TmZi7bn5rPdqAC6nnuNZT4Th89kRVLxOAGRrG/nc70nUu66bs1xvwbwNbhjcsI/DP/mCwY10SH/1kYy9BWGWgiM8e5+KcWeNYPP0ZHAJayKzJ+WM2z7AV5fjMP5KOe/LNALvdG1odXIG7a/jUaf0FSS2nMSpDrPwZsgkeNf5CPcvzYSRXTIgPm09B/2yoKKDHaz+cQB23Lfkztfh0LRYgaRPboOxO6bAyQ1KsPXXJ0zwuIUv+7zw45VS/nTgBd9ImM5rpzWDids/NrsjBvl2KiD3+z2XKtZRudsSKt0YBL+gga+eLgMt91L6fa6Z79tL8WUZezBc6kxjPyhz4d/raO4TT3ry86j4fSTOOzoIOR1zcPGTcyCnaQAif1y58NdcVJCzpMS6cGg/y+BNVmyY6YeyOtvw0tO1nCSgAv8ywkG5IJtKr1+gsT4FbFWXDRcH0ijq0Te0P7ycvt9cR48KlcDs1HIYcMnFpeMr+GbYVW7MvQD5oo+xeoMiXh5zBnvti9F6tiCkmftSkVQwmFpnwZndL2HMrI/Y2LEX10dX4Oohv5SK84WfE/Rg15VNZDT/F3w7FQemwnp0N7mHf0d/At3NxjD91mrYld8KqZ+NYKJXMJ6N/McPfjrzev9zfHj0eNheNxLub/QFRc0m0k27zm2Gw6AgewfvXumBk47OhPxxzzh+4mewXtEO51cXQXVgJTksd8WSGwKw4dtmmt+kROtPT8OCwBp+/Xomb51cj7l7XtNv53BUnHcE1rEQPDKt5UYjF9JSukoq90ehwOhY2JT8iOu2LqSgrzqoumUmbZg1GlbNnAYKyq/4woA1/Ht3CNlxK2WNHQRJsSh6Kb4BXuaHUWmiEKws/MkXeCMEnjyG27aY8AONGbxe6zTcX34UbTy/wgcBRyw9NgKMnDpowel+uNfTRV7X9LlDKgrcbxXTlFYREBV0oaiZKRz7SxNUdL1BvNqVVk90wfddx/DDhJ3oLnuVFmmOY2EPUxY/6opty9Thv19/YcCskdcIhYOccytPX6rJ2SuLWCzVBES6z+DAFUckp7FQ39uNxisKqfvwPDh3cCasC23ByXAQvDMPgFrCQV5SVQ992dLQlicO7V1tuOFUP8vrPkXzowM0Mb6aV8xxhMpbRjS3qg+yN4+AVZ/LcdhsoMZBK1q39x3fUlSjEHcrDFyVhYHPnuHUnXegJtUCTko78+47nbzgXAhX67mxVowBrqn6zuOn2FHjiy6+c9KZr6vow4Ob/tis3wti7Q78UjCJ8LoXZDzahupLmASlRkFJmSP/vDgcjNTsWKXoGZmufI/9jxzIWW4jm/wQwrtBP8H46V0uCnjFpnmGsOmgDCVsm4hrnzXD4yUnMPaDO9+fU8dCbbe4sD0OUh9kQOhEDfCNXgAs5Yh+5sN47+zJSDIyfPX6SN5X10cSptp81OgAhr1RgMYrY+HDsNfg2pGCmd33wGJdKe1PqYWN077gPb10Tt1jjAdDJEAoS53L7Wvgs18a5ZRrkp/KHcoYcwGKSvfCkYO2eKZsGj9WnAh78RpGhz3Hcbn70G70bKy8Iwu3R/TgjclaYDbYgcPk94DQD0NQzUmH5xETeLpsMfWk7wXxjLk46UUIfTCLgk4tee4+J4RXHhGkVfiz5PFdvFAqAEJjdXFquzlP/ylHmt/q4PmQLlrJC303Eeg8WcF6B+rxhLgr7fa/g3nTLqONZh8lH7fl3V2juO3QWN5XMwL+6V0HuXBN6Du3l3SG9J0++hTIb7/HsSkn6KRcMUWPuIRLPdXAa95reCB1lHf2fOX36pIUZaSFSmkRcK9DmDZIT6H5sdKcNkIVDixoJawY6lW726El+xkrNn/nYCURThw4xylVYRwz4ABkYAAjrW+xTPAjaiIjkDw4B9ZYvOLAeQZg53CRj9pU8bO4LWzqKg37FWtx1N8aTtrlxtNW9+EOZSfQmfsM6qwO8OiIw9wf/BjzdEfDQqk13LK0n4+Vzht6HzGo+VhNzlvN8X6SC3S018AXlWOQo2wM5zOnU/x+Qfp8g3DY7yVU4v+WGmNewBWh3Zhcfhe/HG5BG9CCUar6TAG/aM4RByz7eBWuu3Vwd3oqXpTrIfsrPVBzeAro71EGiVpHdHE+CzNdd9ApkbPwLK6cphwJx5tB7agwYIlyXz1hj6g47F3zCe+fX0HHxs7E6sIjvMqwGJ49NYUXi5rQ9Okz2JqWjI7SFiAkG4Fv8z7gpVnOYDVpERUZf6K3J05T1Lkn6PUjHaq3/qM5H82g71gn1F+8wDKKh3Cy1RrwPjgDJ7oagVDNSFqnKYSyj/ORklRgNlvyxpE1xLXqlJlxmTa/agMT+0ioPF2KDtKT4WfIAjYU1oOKz3PxvkUQvFSJg6Mr1chzwB+L0v25yqGY4+PX0YQae74oJQtzxQw5tcGej8k2wQxhfdpoFMDnW8xRcNYXtIcJyC9G4YVJuiBeqAUty4x4oPI0TrEppHr/o9D6djTeedNJ8zYuBKnwTTS2bzz0NIzApyoHWDz/Aly/HkNFKaZsMPsmaA0447gfzajxnw755ghAkpMO+i6Rph2LctD7fDH1RhfRw05T2KySCI3vNvD6Kk8ejNGANdOyYfncRyR9ZwrluXexQfYf3GR0hpW+PSDHj9Z4b/pCokA9uJozGSfc1sSsWwtAeGjHz3vvc8QpUch3zYY9KzdA29XvpOevDtM07lFigTzHKyhC3KNuPjBCFq8tfgtyfwywwNge5kda4p3dRuCZ8Q+6hq0BoY2u+G/udJz1wZ5/d1nDIi9pPG68Hay/laL8nBGw/bo9Oad85jwva/LK382ff02hji1SfEf+LN0cylbD/
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