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| 1 // Copyright 2015 The Chromium Authors. All rights reserved. |
| 2 // Use of this source code is governed by a BSD-style license that can be |
| 3 // found in the LICENSE file. |
| 4 |
| 5 // Package cmpbin provides binary serialization routines which ensure that the |
| 6 // serialized objects maintain the same sort order of the original inputs when |
| 7 // sorted bytewise (i.e. with memcmp). Additionally, serialized objects are |
| 8 // concatenatable. |
| 9 // |
| 10 // Notes on particular serialization schemes: |
| 11 // |
| 12 // - Numbers: |
| 13 // The number encoding is less efficient on average than Varint |
| 14 // ("encoding/binary") for small numbers (it has a minimum encoded size of |
| 15 // 2 bytes), but is more efficient for large numbers (it has a maximum encoded |
| 16 // size of 9 bytes for a 64 bit int, unlike the largest Varint which has a 10b |
| 17 // representation). |
| 18 // |
| 19 // Both signed and unsigned numbers are encoded with the same scheme, and will |
| 20 // sort together as signed numbers. Decoding with the incorrect routine will |
| 21 // result in an ErrOverflow/ErrUnderflow error if the actual value is out of |
| 22 // range. |
| 23 // |
| 24 // The scheme works like: |
| 25 // - given an 2's compliment value V |
| 26 // - extract the sign (S) and magnitude (M) of V |
| 27 // - Find the position of the highest bit (P), minus 1. |
| 28 // - write (bits): |
| 29 // - SPPPPPPP MMMMMMMM MM000000 |
| 30 // - S is 1 |
| 31 // - P's are the log2(M)-1 |
| 32 // - M's are the magnitude of V |
| 33 // - 0's are padding |
| 34 // - Additionally, if the number is negative, invert the bits of all the bytes |
| 35 // (e.g. XOR 0xFF). This makes the sign bit S 0 for negative numbers, and |
| 36 // makes the ordering of the numbers correct when compared bytewise. |
| 37 // |
| 38 // - Strings/[]byte |
| 39 // Each byte in the encoded stream reserves the least significant bit as a stop |
| 40 // bit (1 means that the string continues, 0 means that the string ends). The |
| 41 // actual user data is shifted into the top 7 bits of every encoded byte. This |
| 42 // results in a data inflation rate of 12.5%, but this overhead is constant |
| 43 // (doesn't vary by the encoded content). Note that if space efficiency is very |
| 44 // important and you are storing large strings on average, you could reduce the |
| 45 // overhead by only placing the stop bit on every other byte or every 4th byte, |
| 46 // etc. This would reduce the overhead to 6.25% or 3.125% accordingly (but would |
| 47 // cause every string to round out to 2 or 4 byte chunks), and it would make |
| 48 // the algorithm implementation more complex. The current implementation was |
| 49 // chosen as good enough in light of the fact that pre-compressing regular data |
| 50 // could save more than 12.5% overall, and that for incompressable data a |
| 51 // commonly used encoding scheme (base64) has a full 25% overhead (and a |
| 52 // generally more complex implementation). |
| 53 // |
| 54 // - Floats |
| 55 // Floats are tricky (really tricky) because they have lots of weird |
| 56 // non-sortable special cases (like NaN). That said, for the majority of |
| 57 // non-weird cases, the implementation here will sort real numbers the way that |
| 58 // you would expect. |
| 59 // |
| 60 // The implementation is derived from http://stereopsis.com/radix.html, and full |
| 61 // credit for the original algorithm goes to Michael Herf. The algorithm is |
| 62 // essentially: |
| 63 // |
| 64 // - if the number is positive, flip the top bit |
| 65 // - if the number is negative, flip all the bits |
| 66 // |
| 67 // Floats are not varint encoded, you could varint encode the mantissa |
| 68 // (significand). This is only a 52 bit section, meaning that it is normally |
| 69 // encoded with 6.5 bytes (a nybble is stolen from the second exponent byte). |
| 70 // Assuming you used the numerical encoding above, shifted left by 4 bits, |
| 71 // discarding the sign bit (since its laready the MSb on the float, and then |
| 72 // using 6 bits (instead of 7) to represent the number of significant bits in |
| 73 // the mantissa (since there are only a maximum of 52), you could expect to see |
| 74 // small-mantissa floats (of any characteristic) encoded in 3 bytes (this has |
| 75 // 6 bits of mantissa), and the largest floats would have an encoded size of |
| 76 // 9 bytes (with 2 wasted bits). However the implementation complexity would be |
| 77 // higher. |
| 78 // |
| 79 // The actual encoded values for special cases are (sorted high to low): |
| 80 // - QNaN - 0xFFF8000000000000 |
| 81 // // note that golang doesn't seem to actually have SNaN? |
| 82 // - SNaN - 0xFFF0000000000001 |
| 83 // - +inf - 0xFFF0000000000000 |
| 84 // - MaxFloat64 - 0xFFEFFFFFFFFFFFFF |
| 85 // - SmallestNonzeroFloat64 - 0x8000000000000001 |
| 86 // - 0 - 0x8000000000000000 |
| 87 // - -0 - 0x7FFFFFFFFFFFFFFF |
| 88 // - -SmallestNonzeroFloat64 - 0x7FFFFFFFFFFFFFFE |
| 89 // - -MaxFloat64 - 0x0010000000000000 |
| 90 // - -inf - 0x000FFFFFFFFFFFFF |
| 91 package cmpbin |
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