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Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\n Bit reading helpers\n*/\n\nvar BROTLI_READ_SIZE = 4096;\nvar BROTLI_IBUF_SIZE = (2 * BROTLI_READ_SIZE + 32);\nvar BROTLI_IBUF_MASK = (2 * BROTLI_READ_SIZE - 1);\n\nvar kBitMask = new Uint32Array([\n 0, 1, 3, 7, 15, 31, 63, 127, 255, 511, 1023, 2047, 4095, 8191, 16383, 32767,\n 65535, 131071, 262143, 524287, 1048575, 2097151, 4194303, 8388607, 16777215\n]);\n\n/* Input byte buffer, consist of a ringbuffer and a \"slack\" region where */\n/* bytes from the start of the ringbuffer are copied. */\nfunction BrotliBitReader(input) {\n this.buf_ = new Uint8Array(BROTLI_IBUF_SIZE);\n this.input_ = input; /* input callback */\n \n this.reset();\n}\n\nBrotliBitReader.READ_SIZE = BROTLI_READ_SIZE;\nBrotliBitReader.IBUF_MASK = BROTLI_IBUF_MASK;\n\nBrotliBitReader.prototype.reset = function() {\n this.buf_ptr_ = 0; /* next input will write here */\n this.val_ = 0; /* pre-fetched bits */\n this.pos_ = 0; /* byte position in stream */\n this.bit_pos_ = 0; /* current bit-reading position in val_ */\n this.bit_end_pos_ = 0; /* bit-reading end position from LSB of val_ */\n this.eos_ = 0; /* input stream is finished */\n \n this.readMoreInput();\n for (var i = 0; i < 4; i++) {\n this.val_ |= this.buf_[this.pos_] << (8 * i);\n ++this.pos_;\n }\n \n return this.bit_end_pos_ > 0;\n};\n\n/* Fills up the input ringbuffer by calling the input callback.\n\n Does nothing if there are at least 32 bytes present after current position.\n\n Returns 0 if either:\n - the input callback returned an error, or\n - there is no more input and the position is past the end of the stream.\n\n After encountering the end of the input stream, 32 additional zero bytes are\n copied to the ringbuffer, therefore it is safe to call this function after\n every 32 bytes of input is read.\n*/\nBrotliBitReader.prototype.readMoreInput = function() {\n if (this.bit_end_pos_ > 256) {\n return;\n } else if (this.eos_) {\n if (this.bit_pos_ > this.bit_end_pos_)\n throw new Error('Unexpected end of input ' + this.bit_pos_ + ' ' + this.bit_end_pos_);\n } else {\n var dst = this.buf_ptr_;\n var bytes_read = this.input_.read(this.buf_, dst, BROTLI_READ_SIZE);\n if (bytes_read < 0) {\n throw new Error('Unexpected end of input');\n }\n \n if (bytes_read < BROTLI_READ_SIZE) {\n this.eos_ = 1;\n /* Store 32 bytes of zero after the stream end. */\n for (var p = 0; p < 32; p++)\n this.buf_[dst + bytes_read + p] = 0;\n }\n \n if (dst === 0) {\n /* Copy the head of the ringbuffer to the slack region. */\n for (var p = 0; p < 32; p++)\n this.buf_[(BROTLI_READ_SIZE << 1) + p] = this.buf_[p];\n\n this.buf_ptr_ = BROTLI_READ_SIZE;\n } else {\n this.buf_ptr_ = 0;\n }\n \n this.bit_end_pos_ += bytes_read << 3;\n }\n};\n\n/* Guarantees that there are at least 24 bits in the buffer. */\nBrotliBitReader.prototype.fillBitWindow = function() { \n while (this.bit_pos_ >= 8) {\n this.val_ >>>= 8;\n this.val_ |= this.buf_[this.pos_ & BROTLI_IBUF_MASK] << 24;\n ++this.pos_;\n this.bit_pos_ = this.bit_pos_ - 8 >>> 0;\n this.bit_end_pos_ = this.bit_end_pos_ - 8 >>> 0;\n }\n};\n\n/* Reads the specified number of bits from Read Buffer. */\nBrotliBitReader.prototype.readBits = function(n_bits) {\n if (32 - this.bit_pos_ < n_bits) {\n this.fillBitWindow();\n }\n \n var val = ((this.val_ >>> this.bit_pos_) & kBitMask[n_bits]);\n this.bit_pos_ += n_bits;\n return val;\n};\n\nmodule.exports = BrotliBitReader;\n","/* Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\n Lookup table to map the previous two bytes to a context id.\n\n There are four different context modeling modes defined here:\n CONTEXT_LSB6: context id is the least significant 6 bits of the last byte,\n CONTEXT_MSB6: context id is the most significant 6 bits of the last byte,\n CONTEXT_UTF8: second-order context model tuned for UTF8-encoded text,\n CONTEXT_SIGNED: second-order context model tuned for signed integers.\n\n The context id for the UTF8 context model is calculated as follows. If p1\n and p2 are the previous two bytes, we calcualte the context as\n\n context = kContextLookup[p1] | kContextLookup[p2 + 256].\n\n If the previous two bytes are ASCII characters (i.e. < 128), this will be\n equivalent to\n\n context = 4 * context1(p1) + context2(p2),\n\n where context1 is based on the previous byte in the following way:\n\n 0 : non-ASCII control\n 1 : \\t, \\n, \\r\n 2 : space\n 3 : other punctuation\n 4 : \" '\n 5 : %\n 6 : ( < [ {\n 7 : ) > ] }\n 8 : , ; :\n 9 : .\n 10 : =\n 11 : number\n 12 : upper-case vowel\n 13 : upper-case consonant\n 14 : lower-case vowel\n 15 : lower-case consonant\n\n and context2 is based on the second last byte:\n\n 0 : control, space\n 1 : punctuation\n 2 : upper-case letter, number\n 3 : lower-case letter\n\n If the last byte is ASCII, and the second last byte is not (in a valid UTF8\n stream it will be a continuation byte, value between 128 and 191), the\n context is the same as if the second last byte was an ASCII control or space.\n\n If the last byte is a UTF8 lead byte (value >= 192), then the next byte will\n be a continuation byte and the context id is 2 or 3 depending on the LSB of\n the last byte and to a lesser extent on the second last byte if it is ASCII.\n\n If the last byte is a UTF8 continuation byte, the second last byte can be:\n - continuation byte: the next byte is probably ASCII or lead byte (assuming\n 4-byte UTF8 characters are rare) and the context id is 0 or 1.\n - lead byte (192 - 207): next byte is ASCII or lead byte, context is 0 or 1\n - lead byte (208 - 255): next byte is continuation byte, context is 2 or 3\n\n The possible value combinations of the previous two bytes, the range of\n context ids and the type of the next byte is summarized in the table below:\n\n |--------\\-----------------------------------------------------------------|\n | \\ Last byte |\n | Second \\---------------------------------------------------------------|\n | last byte \\ ASCII | cont. byte | lead byte |\n | \\ (0-127) | (128-191) | (192-) |\n |=============|===================|=====================|==================|\n | ASCII | next: ASCII/lead | not valid | next: cont. |\n | (0-127) | context: 4 - 63 | | context: 2 - 3 |\n |-------------|-------------------|---------------------|------------------|\n | cont. byte | next: ASCII/lead | next: ASCII/lead | next: cont. |\n | (128-191) | context: 4 - 63 | context: 0 - 1 | context: 2 - 3 |\n |-------------|-------------------|---------------------|------------------|\n | lead byte | not valid | next: ASCII/lead | not valid |\n | (192-207) | | context: 0 - 1 | |\n |-------------|-------------------|---------------------|------------------|\n | lead byte | not valid | next: cont. | not valid |\n | (208-) | | context: 2 - 3 | |\n |-------------|-------------------|---------------------|------------------|\n\n The context id for the signed context mode is calculated as:\n\n context = (kContextLookup[512 + p1] << 3) | kContextLookup[512 + p2].\n\n For any context modeling modes, the context ids can be calculated by |-ing\n together two lookups from one table using context model dependent offsets:\n\n context = kContextLookup[offset1 + p1] | kContextLookup[offset2 + p2].\n\n where offset1 and offset2 are dependent on the context mode.\n*/\n\nvar CONTEXT_LSB6 = 0;\nvar CONTEXT_MSB6 = 1;\nvar CONTEXT_UTF8 = 2;\nvar CONTEXT_SIGNED = 3;\n\n/* Common context lookup table for all context modes. */\nexports.lookup = new Uint8Array([\n /* CONTEXT_UTF8, last byte. */\n /* ASCII range. */\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 4, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 8, 12, 16, 12, 12, 20, 12, 16, 24, 28, 12, 12, 32, 12, 36, 12,\n 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 32, 32, 24, 40, 28, 12,\n 12, 48, 52, 52, 52, 48, 52, 52, 52, 48, 52, 52, 52, 52, 52, 48,\n 52, 52, 52, 52, 52, 48, 52, 52, 52, 52, 52, 24, 12, 28, 12, 12,\n 12, 56, 60, 60, 60, 56, 60, 60, 60, 56, 60, 60, 60, 60, 60, 56,\n 60, 60, 60, 60, 60, 56, 60, 60, 60, 60, 60, 24, 12, 28, 12, 0,\n /* UTF8 continuation byte range. */\n 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1,\n /* UTF8 lead byte range. */\n 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,\n 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,\n 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,\n 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,\n /* CONTEXT_UTF8 second last byte. */\n /* ASCII range. */\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1,\n 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1,\n 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 0,\n /* UTF8 continuation byte range. */\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n /* UTF8 lead byte range. */\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n /* CONTEXT_SIGNED, second last byte. */\n 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7,\n /* CONTEXT_SIGNED, last byte, same as the above values shifted by 3 bits. */\n 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,\n 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,\n 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,\n 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,\n 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24,\n 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32,\n 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32,\n 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32,\n 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32,\n 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,\n 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,\n 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,\n 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 56,\n /* CONTEXT_LSB6, last byte. */\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,\n 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,\n 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,\n 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,\n 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,\n 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,\n 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,\n 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,\n 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,\n 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,\n /* CONTEXT_MSB6, last byte. */\n 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3,\n 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7,\n 8, 8, 8, 8, 9, 9, 9, 9, 10, 10, 10, 10, 11, 11, 11, 11,\n 12, 12, 12, 12, 13, 13, 13, 13, 14, 14, 14, 14, 15, 15, 15, 15,\n 16, 16, 16, 16, 17, 17, 17, 17, 18, 18, 18, 18, 19, 19, 19, 19,\n 20, 20, 20, 20, 21, 21, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23,\n 24, 24, 24, 24, 25, 25, 25, 25, 26, 26, 26, 26, 27, 27, 27, 27,\n 28, 28, 28, 28, 29, 29, 29, 29, 30, 30, 30, 30, 31, 31, 31, 31,\n 32, 32, 32, 32, 33, 33, 33, 33, 34, 34, 34, 34, 35, 35, 35, 35,\n 36, 36, 36, 36, 37, 37, 37, 37, 38, 38, 38, 38, 39, 39, 39, 39,\n 40, 40, 40, 40, 41, 41, 41, 41, 42, 42, 42, 42, 43, 43, 43, 43,\n 44, 44, 44, 44, 45, 45, 45, 45, 46, 46, 46, 46, 47, 47, 47, 47,\n 48, 48, 48, 48, 49, 49, 49, 49, 50, 50, 50, 50, 51, 51, 51, 51,\n 52, 52, 52, 52, 53, 53, 53, 53, 54, 54, 54, 54, 55, 55, 55, 55,\n 56, 56, 56, 56, 57, 57, 57, 57, 58, 58, 58, 58, 59, 59, 59, 59,\n 60, 60, 60, 60, 61, 61, 61, 61, 62, 62, 62, 62, 63, 63, 63, 63,\n /* CONTEXT_{M,L}SB6, second last byte, */\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n]);\n\nexports.lookupOffsets = new Uint16Array([\n /* CONTEXT_LSB6 */\n 1024, 1536,\n /* CONTEXT_MSB6 */\n 1280, 1536,\n /* CONTEXT_UTF8 */\n 0, 256,\n /* CONTEXT_SIGNED */\n 768, 512,\n]);\n","/* Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n*/\n\nvar BrotliInput = require('./streams').BrotliInput;\nvar BrotliOutput = require('./streams').BrotliOutput;\nvar BrotliBitReader = require('./bit_reader');\nvar BrotliDictionary = require('./dictionary');\nvar HuffmanCode = require('./huffman').HuffmanCode;\nvar BrotliBuildHuffmanTable = require('./huffman').BrotliBuildHuffmanTable;\nvar Context = require('./context');\nvar Prefix = require('./prefix');\nvar Transform = require('./transform');\n\nvar kDefaultCodeLength = 8;\nvar kCodeLengthRepeatCode = 16;\nvar kNumLiteralCodes = 256;\nvar kNumInsertAndCopyCodes = 704;\nvar kNumBlockLengthCodes = 26;\nvar kLiteralContextBits = 6;\nvar kDistanceContextBits = 2;\n\nvar HUFFMAN_TABLE_BITS = 8;\nvar HUFFMAN_TABLE_MASK = 0xff;\n/* Maximum possible Huffman table size for an alphabet size of 704, max code\n * length 15 and root table bits 8. */\nvar HUFFMAN_MAX_TABLE_SIZE = 1080;\n\nvar CODE_LENGTH_CODES = 18;\nvar kCodeLengthCodeOrder = new Uint8Array([\n 1, 2, 3, 4, 0, 5, 17, 6, 16, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n]);\n\nvar NUM_DISTANCE_SHORT_CODES = 16;\nvar kDistanceShortCodeIndexOffset = new Uint8Array([\n 3, 2, 1, 0, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 2\n]);\n\nvar kDistanceShortCodeValueOffset = new Int8Array([\n 0, 0, 0, 0, -1, 1, -2, 2, -3, 3, -1, 1, -2, 2, -3, 3\n]);\n\nvar kMaxHuffmanTableSize = new Uint16Array([\n 256, 402, 436, 468, 500, 534, 566, 598, 630, 662, 694, 726, 758, 790, 822,\n 854, 886, 920, 952, 984, 1016, 1048, 1080\n]);\n\nfunction DecodeWindowBits(br) {\n var n;\n if (br.readBits(1) === 0) {\n return 16;\n }\n \n n = br.readBits(3);\n if (n > 0) {\n return 17 + n;\n }\n \n n = br.readBits(3);\n if (n > 0) {\n return 8 + n;\n }\n \n return 17;\n}\n\n/* Decodes a number in the range [0..255], by reading 1 - 11 bits. */\nfunction DecodeVarLenUint8(br) {\n if (br.readBits(1)) {\n var nbits = br.readBits(3);\n if (nbits === 0) {\n return 1;\n } else {\n return br.readBits(nbits) + (1 << nbits);\n }\n }\n return 0;\n}\n\nfunction MetaBlockLength() {\n this.meta_block_length = 0;\n this.input_end = 0;\n this.is_uncompressed = 0;\n this.is_metadata = false;\n}\n\nfunction DecodeMetaBlockLength(br) {\n var out = new MetaBlockLength; \n var size_nibbles;\n var size_bytes;\n var i;\n \n out.input_end = br.readBits(1);\n if (out.input_end && br.readBits(1)) {\n return out;\n }\n \n size_nibbles = br.readBits(2) + 4;\n if (size_nibbles === 7) {\n out.is_metadata = true;\n \n if (br.readBits(1) !== 0)\n throw new Error('Invalid reserved bit');\n \n size_bytes = br.readBits(2);\n if (size_bytes === 0)\n return out;\n \n for (i = 0; i < size_bytes; i++) {\n var next_byte = br.readBits(8);\n if (i + 1 === size_bytes && size_bytes > 1 && next_byte === 0)\n throw new Error('Invalid size byte');\n \n out.meta_block_length |= next_byte << (i * 8);\n }\n } else {\n for (i = 0; i < size_nibbles; ++i) {\n var next_nibble = br.readBits(4);\n if (i + 1 === size_nibbles && size_nibbles > 4 && next_nibble === 0)\n throw new Error('Invalid size nibble');\n \n out.meta_block_length |= next_nibble << (i * 4);\n }\n }\n \n ++out.meta_block_length;\n \n if (!out.input_end && !out.is_metadata) {\n out.is_uncompressed = br.readBits(1);\n }\n \n return out;\n}\n\n/* Decodes the next Huffman code from bit-stream. */\nfunction ReadSymbol(table, index, br) {\n var start_index = index;\n \n var nbits;\n br.fillBitWindow();\n index += (br.val_ >>> br.bit_pos_) & HUFFMAN_TABLE_MASK;\n nbits = table[index].bits - HUFFMAN_TABLE_BITS;\n if (nbits > 0) {\n br.bit_pos_ += HUFFMAN_TABLE_BITS;\n index += table[index].value;\n index += (br.val_ >>> br.bit_pos_) & ((1 << nbits) - 1);\n }\n br.bit_pos_ += table[index].bits;\n return table[index].value;\n}\n\nfunction ReadHuffmanCodeLengths(code_length_code_lengths, num_symbols, code_lengths, br) {\n var symbol = 0;\n var prev_code_len = kDefaultCodeLength;\n var repeat = 0;\n var repeat_code_len = 0;\n var space = 32768;\n \n var table = [];\n for (var i = 0; i < 32; i++)\n table.push(new HuffmanCode(0, 0));\n \n BrotliBuildHuffmanTable(table, 0, 5, code_length_code_lengths, CODE_LENGTH_CODES);\n\n while (symbol < num_symbols && space > 0) {\n var p = 0;\n var code_len;\n \n br.readMoreInput();\n br.fillBitWindow();\n p += (br.val_ >>> br.bit_pos_) & 31;\n br.bit_pos_ += table[p].bits;\n code_len = table[p].value & 0xff;\n if (code_len < kCodeLengthRepeatCode) {\n repeat = 0;\n code_lengths[symbol++] = code_len;\n if (code_len !== 0) {\n prev_code_len = code_len;\n space -= 32768 >> code_len;\n }\n } else {\n var extra_bits = code_len - 14;\n var old_repeat;\n var repeat_delta;\n var new_len = 0;\n if (code_len === kCodeLengthRepeatCode) {\n new_len = prev_code_len;\n }\n if (repeat_code_len !== new_len) {\n repeat = 0;\n repeat_code_len = new_len;\n }\n old_repeat = repeat;\n if (repeat > 0) {\n repeat -= 2;\n repeat <<= extra_bits;\n }\n repeat += br.readBits(extra_bits) + 3;\n repeat_delta = repeat - old_repeat;\n if (symbol + repeat_delta > num_symbols) {\n throw new Error('[ReadHuffmanCodeLengths] symbol + repeat_delta > num_symbols');\n }\n \n for (var x = 0; x < repeat_delta; x++)\n code_lengths[symbol + x] = repeat_code_len;\n \n symbol += repeat_delta;\n \n if (repeat_code_len !== 0) {\n space -= repeat_delta << (15 - repeat_code_len);\n }\n }\n }\n if (space !== 0) {\n throw new Error(\"[ReadHuffmanCodeLengths] space = \" + space);\n }\n \n for (; symbol < num_symbols; symbol++)\n code_lengths[symbol] = 0;\n}\n\nfunction ReadHuffmanCode(alphabet_size, tables, table, br) {\n var table_size = 0;\n var simple_code_or_skip;\n var code_lengths = new Uint8Array(alphabet_size);\n \n br.readMoreInput();\n \n /* simple_code_or_skip is used as follows:\n 1 for simple code;\n 0 for no skipping, 2 skips 2 code lengths, 3 skips 3 code lengths */\n simple_code_or_skip = br.readBits(2);\n if (simple_code_or_skip === 1) {\n /* Read symbols, codes & code lengths directly. */\n var i;\n var max_bits_counter = alphabet_size - 1;\n var max_bits = 0;\n var symbols = new Int32Array(4);\n var num_symbols = br.readBits(2) + 1;\n while (max_bits_counter) {\n max_bits_counter >>= 1;\n ++max_bits;\n }\n\n for (i = 0; i < num_symbols; ++i) {\n symbols[i] = br.readBits(max_bits) % alphabet_size;\n code_lengths[symbols[i]] = 2;\n }\n code_lengths[symbols[0]] = 1;\n switch (num_symbols) {\n case 1:\n break;\n case 3:\n if ((symbols[0] === symbols[1]) ||\n (symbols[0] === symbols[2]) ||\n (symbols[1] === symbols[2])) {\n throw new Error('[ReadHuffmanCode] invalid symbols');\n }\n break;\n case 2:\n if (symbols[0] === symbols[1]) {\n throw new Error('[ReadHuffmanCode] invalid symbols');\n }\n \n code_lengths[symbols[1]] = 1;\n break;\n case 4:\n if ((symbols[0] === symbols[1]) ||\n (symbols[0] === symbols[2]) ||\n (symbols[0] === symbols[3]) ||\n (symbols[1] === symbols[2]) ||\n (symbols[1] === symbols[3]) ||\n (symbols[2] === symbols[3])) {\n throw new Error('[ReadHuffmanCode] invalid symbols');\n }\n \n if (br.readBits(1)) {\n code_lengths[symbols[2]] = 3;\n code_lengths[symbols[3]] = 3;\n } else {\n code_lengths[symbols[0]] = 2;\n }\n break;\n }\n } else { /* Decode Huffman-coded code lengths. */\n var i;\n var code_length_code_lengths = new Uint8Array(CODE_LENGTH_CODES);\n var space = 32;\n var num_codes = 0;\n /* Static Huffman code for the code length code lengths */\n var huff = [\n new HuffmanCode(2, 0), new HuffmanCode(2, 4), new HuffmanCode(2, 3), new HuffmanCode(3, 2), \n new HuffmanCode(2, 0), new HuffmanCode(2, 4), new HuffmanCode(2, 3), new HuffmanCode(4, 1),\n new HuffmanCode(2, 0), new HuffmanCode(2, 4), new HuffmanCode(2, 3), new HuffmanCode(3, 2), \n new HuffmanCode(2, 0), new HuffmanCode(2, 4), new HuffmanCode(2, 3), new HuffmanCode(4, 5)\n ];\n for (i = simple_code_or_skip; i < CODE_LENGTH_CODES && space > 0; ++i) {\n var code_len_idx = kCodeLengthCodeOrder[i];\n var p = 0;\n var v;\n br.fillBitWindow();\n p += (br.val_ >>> br.bit_pos_) & 15;\n br.bit_pos_ += huff[p].bits;\n v = huff[p].value;\n code_length_code_lengths[code_len_idx] = v;\n if (v !== 0) {\n space -= (32 >> v);\n ++num_codes;\n }\n }\n \n if (!(num_codes === 1 || space === 0))\n throw new Error('[ReadHuffmanCode] invalid num_codes or space');\n \n ReadHuffmanCodeLengths(code_length_code_lengths, alphabet_size, code_lengths, br);\n }\n \n table_size = BrotliBuildHuffmanTable(tables, table, HUFFMAN_TABLE_BITS, code_lengths, alphabet_size);\n \n if (table_size === 0) {\n throw new Error(\"[ReadHuffmanCode] BuildHuffmanTable failed: \");\n }\n \n return table_size;\n}\n\nfunction ReadBlockLength(table, index, br) {\n var code;\n var nbits;\n code = ReadSymbol(table, index, br);\n nbits = Prefix.kBlockLengthPrefixCode[code].nbits;\n return Prefix.kBlockLengthPrefixCode[code].offset + br.readBits(nbits);\n}\n\nfunction TranslateShortCodes(code, ringbuffer, index) {\n var val;\n if (code < NUM_DISTANCE_SHORT_CODES) {\n index += kDistanceShortCodeIndexOffset[code];\n index &= 3;\n val = ringbuffer[index] + kDistanceShortCodeValueOffset[code];\n } else {\n val = code - NUM_DISTANCE_SHORT_CODES + 1;\n }\n return val;\n}\n\nfunction MoveToFront(v, index) {\n var value = v[index];\n var i = index;\n for (; i; --i) v[i] = v[i - 1];\n v[0] = value;\n}\n\nfunction InverseMoveToFrontTransform(v, v_len) {\n var mtf = new Uint8Array(256);\n var i;\n for (i = 0; i < 256; ++i) {\n mtf[i] = i;\n }\n for (i = 0; i < v_len; ++i) {\n var index = v[i];\n v[i] = mtf[index];\n if (index) MoveToFront(mtf, index);\n }\n}\n\n/* Contains a collection of huffman trees with the same alphabet size. */\nfunction HuffmanTreeGroup(alphabet_size, num_htrees) {\n this.alphabet_size = alphabet_size;\n this.num_htrees = num_htrees;\n this.codes = new Array(num_htrees + num_htrees * kMaxHuffmanTableSize[(alphabet_size + 31) >>> 5]); \n this.htrees = new Uint32Array(num_htrees);\n}\n\nHuffmanTreeGroup.prototype.decode = function(br) {\n var i;\n var table_size;\n var next = 0;\n for (i = 0; i < this.num_htrees; ++i) {\n this.htrees[i] = next;\n table_size = ReadHuffmanCode(this.alphabet_size, this.codes, next, br);\n next += table_size;\n }\n};\n\nfunction DecodeContextMap(context_map_size, br) {\n var out = { num_htrees: null, context_map: null };\n var use_rle_for_zeros;\n var max_run_length_prefix = 0;\n var table;\n var i;\n \n br.readMoreInput();\n var num_htrees = out.num_htrees = DecodeVarLenUint8(br) + 1;\n\n var context_map = out.context_map = new Uint8Array(context_map_size);\n if (num_htrees <= 1) {\n return out;\n }\n\n use_rle_for_zeros = br.readBits(1);\n if (use_rle_for_zeros) {\n max_run_length_prefix = br.readBits(4) + 1;\n }\n \n table = [];\n for (i = 0; i < HUFFMAN_MAX_TABLE_SIZE; i++) {\n table[i] = new HuffmanCode(0, 0);\n }\n \n ReadHuffmanCode(num_htrees + max_run_length_prefix, table, 0, br);\n \n for (i = 0; i < context_map_size;) {\n var code;\n\n br.readMoreInput();\n code = ReadSymbol(table, 0, br);\n if (code === 0) {\n context_map[i] = 0;\n ++i;\n } else if (code <= max_run_length_prefix) {\n var reps = 1 + (1 << code) + br.readBits(code);\n while (--reps) {\n if (i >= context_map_size) {\n throw new Error(\"[DecodeContextMap] i >= context_map_size\");\n }\n context_map[i] = 0;\n ++i;\n }\n } else {\n context_map[i] = code - max_run_length_prefix;\n ++i;\n }\n }\n if (br.readBits(1)) {\n InverseMoveToFrontTransform(context_map, context_map_size);\n }\n \n return out;\n}\n\nfunction DecodeBlockType(max_block_type, trees, tree_type, block_types, ringbuffers, indexes, br) {\n var ringbuffer = tree_type * 2;\n var index = tree_type;\n var type_code = ReadSymbol(trees, tree_type * HUFFMAN_MAX_TABLE_SIZE, br);\n var block_type;\n if (type_code === 0) {\n block_type = ringbuffers[ringbuffer + (indexes[index] & 1)];\n } else if (type_code === 1) {\n block_type = ringbuffers[ringbuffer + ((indexes[index] - 1) & 1)] + 1;\n } else {\n block_type = type_code - 2;\n }\n if (block_type >= max_block_type) {\n block_type -= max_block_type;\n }\n block_types[tree_type] = block_type;\n ringbuffers[ringbuffer + (indexes[index] & 1)] = block_type;\n ++indexes[index];\n}\n\nfunction CopyUncompressedBlockToOutput(output, len, pos, ringbuffer, ringbuffer_mask, br) {\n var rb_size = ringbuffer_mask + 1;\n var rb_pos = pos & ringbuffer_mask;\n var br_pos = br.pos_ & BrotliBitReader.IBUF_MASK;\n var nbytes;\n\n /* For short lengths copy byte-by-byte */\n if (len < 8 || br.bit_pos_ + (len << 3) < br.bit_end_pos_) {\n while (len-- > 0) {\n br.readMoreInput();\n ringbuffer[rb_pos++] = br.readBits(8);\n if (rb_pos === rb_size) {\n output.write(ringbuffer, rb_size);\n rb_pos = 0;\n }\n }\n return;\n }\n\n if (br.bit_end_pos_ < 32) {\n throw new Error('[CopyUncompressedBlockToOutput] br.bit_end_pos_ < 32');\n }\n\n /* Copy remaining 0-4 bytes from br.val_ to ringbuffer. */\n while (br.bit_pos_ < 32) {\n ringbuffer[rb_pos] = (br.val_ >>> br.bit_pos_);\n br.bit_pos_ += 8;\n ++rb_pos;\n --len;\n }\n\n /* Copy remaining bytes from br.buf_ to ringbuffer. */\n nbytes = (br.bit_end_pos_ - br.bit_pos_) >> 3;\n if (br_pos + nbytes > BrotliBitReader.IBUF_MASK) {\n var tail = BrotliBitReader.IBUF_MASK + 1 - br_pos;\n for (var x = 0; x < tail; x++)\n ringbuffer[rb_pos + x] = br.buf_[br_pos + x];\n \n nbytes -= tail;\n rb_pos += tail;\n len -= tail;\n br_pos = 0;\n }\n\n for (var x = 0; x < nbytes; x++)\n ringbuffer[rb_pos + x] = br.buf_[br_pos + x];\n \n rb_pos += nbytes;\n len -= nbytes;\n\n /* If we wrote past the logical end of the ringbuffer, copy the tail of the\n ringbuffer to its beginning and flush the ringbuffer to the output. */\n if (rb_pos >= rb_size) {\n output.write(ringbuffer, rb_size);\n rb_pos -= rb_size; \n for (var x = 0; x < rb_pos; x++)\n ringbuffer[x] = ringbuffer[rb_size + x];\n }\n\n /* If we have more to copy than the remaining size of the ringbuffer, then we\n first fill the ringbuffer from the input and then flush the ringbuffer to\n the output */\n while (rb_pos + len >= rb_size) {\n nbytes = rb_size - rb_pos;\n if (br.input_.read(ringbuffer, rb_pos, nbytes) < nbytes) {\n throw new Error('[CopyUncompressedBlockToOutput] not enough bytes');\n }\n output.write(ringbuffer, rb_size);\n len -= nbytes;\n rb_pos = 0;\n }\n\n /* Copy straight from the input onto the ringbuffer. The ringbuffer will be\n flushed to the output at a later time. */\n if (br.input_.read(ringbuffer, rb_pos, len) < len) {\n throw new Error('[CopyUncompressedBlockToOutput] not enough bytes');\n }\n\n /* Restore the state of the bit reader. */\n br.reset();\n}\n\n/* Advances the bit reader position to the next byte boundary and verifies\n that any skipped bits are set to zero. */\nfunction JumpToByteBoundary(br) {\n var new_bit_pos = (br.bit_pos_ + 7) & ~7;\n var pad_bits = br.readBits(new_bit_pos - br.bit_pos_);\n return pad_bits == 0;\n}\n\nfunction BrotliDecompressedSize(buffer) {\n var input = new BrotliInput(buffer);\n var br = new BrotliBitReader(input);\n DecodeWindowBits(br);\n var out = DecodeMetaBlockLength(br);\n return out.meta_block_length;\n}\n\nexports.BrotliDecompressedSize = BrotliDecompressedSize;\n\nfunction BrotliDecompressBuffer(buffer, output_size) {\n var input = new BrotliInput(buffer);\n \n if (output_size == null) {\n output_size = BrotliDecompressedSize(buffer);\n }\n \n var output_buffer = new Uint8Array(output_size);\n var output = new BrotliOutput(output_buffer);\n \n BrotliDecompress(input, output);\n \n if (output.pos < output.buffer.length) {\n output.buffer = output.buffer.subarray(0, output.pos);\n }\n \n return output.buffer;\n}\n\nexports.BrotliDecompressBuffer = BrotliDecompressBuffer;\n\nfunction BrotliDecompress(input, output) {\n var i;\n var pos = 0;\n var input_end = 0;\n var window_bits = 0;\n var max_backward_distance;\n var max_distance = 0;\n var ringbuffer_size;\n var ringbuffer_mask;\n var ringbuffer;\n var ringbuffer_end;\n /* This ring buffer holds a few past copy distances that will be used by */\n /* some special distance codes. */\n var dist_rb = [ 16, 15, 11, 4 ];\n var dist_rb_idx = 0;\n /* The previous 2 bytes used for context. */\n var prev_byte1 = 0;\n var prev_byte2 = 0;\n var hgroup = [new HuffmanTreeGroup(0, 0), new HuffmanTreeGroup(0, 0), new HuffmanTreeGroup(0, 0)];\n var block_type_trees;\n var block_len_trees;\n var br;\n\n /* We need the slack region for the following reasons:\n - always doing two 8-byte copies for fast backward copying\n - transforms\n - flushing the input ringbuffer when decoding uncompressed blocks */\n var kRingBufferWriteAheadSlack = 128 + BrotliBitReader.READ_SIZE;\n\n br = new BrotliBitReader(input);\n\n /* Decode window size. */\n window_bits = DecodeWindowBits(br);\n max_backward_distance = (1 << window_bits) - 16;\n\n ringbuffer_size = 1 << window_bits;\n ringbuffer_mask = ringbuffer_size - 1;\n ringbuffer = new Uint8Array(ringbuffer_size + kRingBufferWriteAheadSlack + BrotliDictionary.maxDictionaryWordLength);\n ringbuffer_end = ringbuffer_size;\n\n block_type_trees = [];\n block_len_trees = [];\n for (var x = 0; x < 3 * HUFFMAN_MAX_TABLE_SIZE; x++) {\n block_type_trees[x] = new HuffmanCode(0, 0);\n block_len_trees[x] = new HuffmanCode(0, 0);\n }\n\n while (!input_end) {\n var meta_block_remaining_len = 0;\n var is_uncompressed;\n var block_length = [ 1 << 28, 1 << 28, 1 << 28 ];\n var block_type = [ 0 ];\n var num_block_types = [ 1, 1, 1 ];\n var block_type_rb = [ 0, 1, 0, 1, 0, 1 ];\n var block_type_rb_index = [ 0 ];\n var distance_postfix_bits;\n var num_direct_distance_codes;\n var distance_postfix_mask;\n var num_distance_codes;\n var context_map = null;\n var context_modes = null;\n var num_literal_htrees;\n var dist_context_map = null;\n var num_dist_htrees;\n var context_offset = 0;\n var context_map_slice = null;\n var literal_htree_index = 0;\n var dist_context_offset = 0;\n var dist_context_map_slice = null;\n var dist_htree_index = 0;\n var context_lookup_offset1 = 0;\n var context_lookup_offset2 = 0;\n var context_mode;\n var htree_command;\n\n for (i = 0; i < 3; ++i) {\n hgroup[i].codes = null;\n hgroup[i].htrees = null;\n }\n\n br.readMoreInput();\n \n var _out = DecodeMetaBlockLength(br);\n meta_block_remaining_len = _out.meta_block_length;\n if (pos + meta_block_remaining_len > output.buffer.length) {\n /* We need to grow the output buffer to fit the additional data. */\n var tmp = new Uint8Array( pos + meta_block_remaining_len );\n tmp.set( output.buffer );\n output.buffer = tmp;\n } \n input_end = _out.input_end;\n is_uncompressed = _out.is_uncompressed;\n \n if (_out.is_metadata) {\n JumpToByteBoundary(br);\n \n for (; meta_block_remaining_len > 0; --meta_block_remaining_len) {\n br.readMoreInput();\n /* Read one byte and ignore it. */\n br.readBits(8);\n }\n \n continue;\n }\n \n if (meta_block_remaining_len === 0) {\n continue;\n }\n \n if (is_uncompressed) {\n br.bit_pos_ = (br.bit_pos_ + 7) & ~7;\n CopyUncompressedBlockToOutput(output, meta_block_remaining_len, pos,\n ringbuffer, ringbuffer_mask, br);\n pos += meta_block_remaining_len;\n continue;\n }\n \n for (i = 0; i < 3; ++i) {\n num_block_types[i] = DecodeVarLenUint8(br) + 1;\n if (num_block_types[i] >= 2) {\n ReadHuffmanCode(num_block_types[i] + 2, block_type_trees, i * HUFFMAN_MAX_TABLE_SIZE, br);\n ReadHuffmanCode(kNumBlockLengthCodes, block_len_trees, i * HUFFMAN_MAX_TABLE_SIZE, br);\n block_length[i] = ReadBlockLength(block_len_trees, i * HUFFMAN_MAX_TABLE_SIZE, br);\n block_type_rb_index[i] = 1;\n }\n }\n \n br.readMoreInput();\n \n distance_postfix_bits = br.readBits(2);\n num_direct_distance_codes = NUM_DISTANCE_SHORT_CODES + (br.readBits(4) << distance_postfix_bits);\n distance_postfix_mask = (1 << distance_postfix_bits) - 1;\n num_distance_codes = (num_direct_distance_codes + (48 << distance_postfix_bits));\n context_modes = new Uint8Array(num_block_types[0]);\n\n for (i = 0; i < num_block_types[0]; ++i) {\n br.readMoreInput();\n context_modes[i] = (br.readBits(2) << 1);\n }\n \n var _o1 = DecodeContextMap(num_block_types[0] << kLiteralContextBits, br);\n num_literal_htrees = _o1.num_htrees;\n context_map = _o1.context_map;\n \n var _o2 = DecodeContextMap(num_block_types[2] << kDistanceContextBits, br);\n num_dist_htrees = _o2.num_htrees;\n dist_context_map = _o2.context_map;\n \n hgroup[0] = new HuffmanTreeGroup(kNumLiteralCodes, num_literal_htrees);\n hgroup[1] = new HuffmanTreeGroup(kNumInsertAndCopyCodes, num_block_types[1]);\n hgroup[2] = new HuffmanTreeGroup(num_distance_codes, num_dist_htrees);\n\n for (i = 0; i < 3; ++i) {\n hgroup[i].decode(br);\n }\n\n context_map_slice = 0;\n dist_context_map_slice = 0;\n context_mode = context_modes[block_type[0]];\n context_lookup_offset1 = Context.lookupOffsets[context_mode];\n context_lookup_offset2 = Context.lookupOffsets[context_mode + 1];\n htree_command = hgroup[1].htrees[0];\n\n while (meta_block_remaining_len > 0) {\n var cmd_code;\n var range_idx;\n var insert_code;\n var copy_code;\n var insert_length;\n var copy_length;\n var distance_code;\n var distance;\n var context;\n var j;\n var copy_dst;\n\n br.readMoreInput();\n \n if (block_length[1] === 0) {\n DecodeBlockType(num_block_types[1],\n block_type_trees, 1, block_type, block_type_rb,\n block_type_rb_index, br);\n block_length[1] = ReadBlockLength(block_len_trees, HUFFMAN_MAX_TABLE_SIZE, br);\n htree_command = hgroup[1].htrees[block_type[1]];\n }\n --block_length[1];\n cmd_code = ReadSymbol(hgroup[1].codes, htree_command, br);\n range_idx = cmd_code >> 6;\n if (range_idx >= 2) {\n range_idx -= 2;\n distance_code = -1;\n } else {\n distance_code = 0;\n }\n insert_code = Prefix.kInsertRangeLut[range_idx] + ((cmd_code >> 3) & 7);\n copy_code = Prefix.kCopyRangeLut[range_idx] + (cmd_code & 7);\n insert_length = Prefix.kInsertLengthPrefixCode[insert_code].offset +\n br.readBits(Prefix.kInsertLengthPrefixCode[insert_code].nbits);\n copy_length = Prefix.kCopyLengthPrefixCode[copy_code].offset +\n br.readBits(Prefix.kCopyLengthPrefixCode[copy_code].nbits);\n prev_byte1 = ringbuffer[pos-1 & ringbuffer_mask];\n prev_byte2 = ringbuffer[pos-2 & ringbuffer_mask];\n for (j = 0; j < insert_length; ++j) {\n br.readMoreInput();\n\n if (block_length[0] === 0) {\n DecodeBlockType(num_block_types[0],\n block_type_trees, 0, block_type, block_type_rb,\n block_type_rb_index, br);\n block_length[0] = ReadBlockLength(block_len_trees, 0, br);\n context_offset = block_type[0] << kLiteralContextBits;\n context_map_slice = context_offset;\n context_mode = context_modes[block_type[0]];\n context_lookup_offset1 = Context.lookupOffsets[context_mode];\n context_lookup_offset2 = Context.lookupOffsets[context_mode + 1];\n }\n context = (Context.lookup[context_lookup_offset1 + prev_byte1] |\n Context.lookup[context_lookup_offset2 + prev_byte2]);\n literal_htree_index = context_map[context_map_slice + context];\n --block_length[0];\n prev_byte2 = prev_byte1;\n prev_byte1 = ReadSymbol(hgroup[0].codes, hgroup[0].htrees[literal_htree_index], br);\n ringbuffer[pos & ringbuffer_mask] = prev_byte1;\n if ((pos & ringbuffer_mask) === ringbuffer_mask) {\n output.write(ringbuffer, ringbuffer_size);\n }\n ++pos;\n }\n meta_block_remaining_len -= insert_length;\n if (meta_block_remaining_len <= 0) break;\n\n if (distance_code < 0) {\n var context;\n \n br.readMoreInput();\n if (block_length[2] === 0) {\n DecodeBlockType(num_block_types[2],\n block_type_trees, 2, block_type, block_type_rb,\n block_type_rb_index, br);\n block_length[2] = ReadBlockLength(block_len_trees, 2 * HUFFMAN_MAX_TABLE_SIZE, br);\n dist_context_offset = block_type[2] << kDistanceContextBits;\n dist_context_map_slice = dist_context_offset;\n }\n --block_length[2];\n context = (copy_length > 4 ? 3 : copy_length - 2) & 0xff;\n dist_htree_index = dist_context_map[dist_context_map_slice + context];\n distance_code = ReadSymbol(hgroup[2].codes, hgroup[2].htrees[dist_htree_index], br);\n if (distance_code >= num_direct_distance_codes) {\n var nbits;\n var postfix;\n var offset;\n distance_code -= num_direct_distance_codes;\n postfix = distance_code & distance_postfix_mask;\n distance_code >>= distance_postfix_bits;\n nbits = (distance_code >> 1) + 1;\n offset = ((2 + (distance_code & 1)) << nbits) - 4;\n distance_code = num_direct_distance_codes +\n ((offset + br.readBits(nbits)) <<\n distance_postfix_bits) + postfix;\n }\n }\n\n /* Convert the distance code to the actual distance by possibly looking */\n /* up past distnaces from the ringbuffer. */\n distance = TranslateShortCodes(distance_code, dist_rb, dist_rb_idx);\n if (distance < 0) {\n throw new Error('[BrotliDecompress] invalid distance');\n }\n\n if (pos < max_backward_distance &&\n max_distance !== max_backward_distance) {\n max_distance = pos;\n } else {\n max_distance = max_backward_distance;\n }\n\n copy_dst = pos & ringbuffer_mask;\n\n if (distance > max_distance) {\n if (copy_length >= BrotliDictionary.minDictionaryWordLength &&\n copy_length <= BrotliDictionary.maxDictionaryWordLength) {\n var offset = BrotliDictionary.offsetsByLength[copy_length];\n var word_id = distance - max_distance - 1;\n var shift = BrotliDictionary.sizeBitsByLength[copy_length];\n var mask = (1 << shift) - 1;\n var word_idx = word_id & mask;\n var transform_idx = word_id >> shift;\n offset += word_idx * copy_length;\n if (transform_idx < Transform.kNumTransforms) {\n var len = Transform.transformDictionaryWord(ringbuffer, copy_dst, offset, copy_length, transform_idx);\n copy_dst += len;\n pos += len;\n meta_block_remaining_len -= len;\n if (copy_dst >= ringbuffer_end) {\n output.write(ringbuffer, ringbuffer_size);\n \n for (var _x = 0; _x < (copy_dst - ringbuffer_end); _x++)\n ringbuffer[_x] = ringbuffer[ringbuffer_end + _x];\n }\n } else {\n throw new Error(\"Invalid backward reference. pos: \" + pos + \" distance: \" + distance +\n \" len: \" + copy_length + \" bytes left: \" + meta_block_remaining_len);\n }\n } else {\n throw new Error(\"Invalid backward reference. pos: \" + pos + \" distance: \" + distance +\n \" len: \" + copy_length + \" bytes left: \" + meta_block_remaining_len);\n }\n } else {\n if (distance_code > 0) {\n dist_rb[dist_rb_idx & 3] = distance;\n ++dist_rb_idx;\n }\n\n if (copy_length > meta_block_remaining_len) {\n throw new Error(\"Invalid backward reference. pos: \" + pos + \" distance: \" + distance +\n \" len: \" + copy_length + \" bytes left: \" + meta_block_remaining_len);\n }\n\n for (j = 0; j < copy_length; ++j) {\n ringbuffer[pos & ringbuffer_mask] = ringbuffer[(pos - distance) & ringbuffer_mask];\n if ((pos & ringbuffer_mask) === ringbuffer_mask) {\n output.write(ringbuffer, ringbuffer_size);\n }\n ++pos;\n --meta_block_remaining_len;\n }\n }\n\n /* When we get here, we must have inserted at least one literal and */\n /* made a copy of at least length two, therefore accessing the last 2 */\n /* bytes is valid. */\n prev_byte1 = ringbuffer[(pos - 1) & ringbuffer_mask];\n prev_byte2 = ringbuffer[(pos - 2) & ringbuffer_mask];\n }\n\n /* Protect pos from overflow, wrap it around at every GB of input data */\n pos &= 0x3fffffff;\n }\n\n output.write(ringbuffer, pos & ringbuffer_mask);\n}\n\nexports.BrotliDecompress = BrotliDecompress;\n\nBrotliDictionary.init();\n","var base64 = require('base64-js');\n\n/**\n * The normal dictionary-data.js is quite large, which makes it \n * unsuitable for browser usage. In order to make it smaller, \n * we read dictionary.bin, which is a compressed version of\n * the dictionary, and on initial load, Brotli decompresses \n * it's own dictionary. 😜\n */\nexports.init = function() {\n var BrotliDecompressBuffer = require('./decode').BrotliDecompressBuffer;\n var compressed = base64.toByteArray(require('./dictionary.bin.js'));\n return BrotliDecompressBuffer(compressed);\n};\n","module.exports=\"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\";\n","/* Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\n Collection of static dictionary words.\n*/\n\nvar data = require('./dictionary-data');\nexports.init = function() {\n exports.dictionary = data.init();\n};\n\nexports.offsetsByLength = new Uint32Array([\n 0, 0, 0, 0, 0, 4096, 9216, 21504, 35840, 44032,\n 53248, 63488, 74752, 87040, 93696, 100864, 104704, 106752, 108928, 113536,\n 115968, 118528, 119872, 121280, 122016,\n]);\n\nexports.sizeBitsByLength = new Uint8Array([\n 0, 0, 0, 0, 10, 10, 11, 11, 10, 10,\n 10, 10, 10, 9, 9, 8, 7, 7, 8, 7,\n 7, 6, 6, 5, 5,\n]);\n\nexports.minDictionaryWordLength = 4;\nexports.maxDictionaryWordLength = 24;\n","function HuffmanCode(bits, value) {\n this.bits = bits; /* number of bits used for this symbol */\n this.value = value; /* symbol value or table offset */\n}\n\nexports.HuffmanCode = HuffmanCode;\n\nvar MAX_LENGTH = 15;\n\n/* Returns reverse(reverse(key, len) + 1, len), where reverse(key, len) is the\n bit-wise reversal of the len least significant bits of key. */\nfunction GetNextKey(key, len) {\n var step = 1 << (len - 1);\n while (key & step) {\n step >>= 1;\n }\n return (key & (step - 1)) + step;\n}\n\n/* Stores code in table[0], table[step], table[2*step], ..., table[end] */\n/* Assumes that end is an integer multiple of step */\nfunction ReplicateValue(table, i, step, end, code) {\n do {\n end -= step;\n table[i + end] = new HuffmanCode(code.bits, code.value);\n } while (end > 0);\n}\n\n/* Returns the table width of the next 2nd level table. count is the histogram\n of bit lengths for the remaining symbols, len is the code length of the next\n processed symbol */\nfunction NextTableBitSize(count, len, root_bits) {\n var left = 1 << (len - root_bits);\n while (len < MAX_LENGTH) {\n left -= count[len];\n if (left <= 0) break;\n ++len;\n left <<= 1;\n }\n return len - root_bits;\n}\n\nexports.BrotliBuildHuffmanTable = function(root_table, table, root_bits, code_lengths, code_lengths_size) {\n var start_table = table;\n var code; /* current table entry */\n var len; /* current code length */\n var symbol; /* symbol index in original or sorted table */\n var key; /* reversed prefix code */\n var step; /* step size to replicate values in current table */\n var low; /* low bits for current root entry */\n var mask; /* mask for low bits */\n var table_bits; /* key length of current table */\n var table_size; /* size of current table */\n var total_size; /* sum of root table size and 2nd level table sizes */\n var sorted; /* symbols sorted by code length */\n var count = new Int32Array(MAX_LENGTH + 1); /* number of codes of each length */\n var offset = new Int32Array(MAX_LENGTH + 1); /* offsets in sorted table for each length */\n\n sorted = new Int32Array(code_lengths_size);\n\n /* build histogram of code lengths */\n for (symbol = 0; symbol < code_lengths_size; symbol++) {\n count[code_lengths[symbol]]++;\n }\n\n /* generate offsets into sorted symbol table by code length */\n offset[1] = 0;\n for (len = 1; len < MAX_LENGTH; len++) {\n offset[len + 1] = offset[len] + count[len];\n }\n\n /* sort symbols by length, by symbol order within each length */\n for (symbol = 0; symbol < code_lengths_size; symbol++) {\n if (code_lengths[symbol] !== 0) {\n sorted[offset[code_lengths[symbol]]++] = symbol;\n }\n }\n \n table_bits = root_bits;\n table_size = 1 << table_bits;\n total_size = table_size;\n\n /* special case code with only one value */\n if (offset[MAX_LENGTH] === 1) {\n for (key = 0; key < total_size; ++key) {\n root_table[table + key] = new HuffmanCode(0, sorted[0] & 0xffff);\n }\n \n return total_size;\n }\n\n /* fill in root table */\n key = 0;\n symbol = 0;\n for (len = 1, step = 2; len <= root_bits; ++len, step <<= 1) {\n for (; count[len] > 0; --count[len]) {\n code = new HuffmanCode(len & 0xff, sorted[symbol++] & 0xffff);\n ReplicateValue(root_table, table + key, step, table_size, code);\n key = GetNextKey(key, len);\n }\n }\n\n /* fill in 2nd level tables and add pointers to root table */\n mask = total_size - 1;\n low = -1;\n for (len = root_bits + 1, step = 2; len <= MAX_LENGTH; ++len, step <<= 1) {\n for (; count[len] > 0; --count[len]) {\n if ((key & mask) !== low) {\n table += table_size;\n table_bits = NextTableBitSize(count, len, root_bits);\n table_size = 1 << table_bits;\n total_size += table_size;\n low = key & mask;\n root_table[start_table + low] = new HuffmanCode((table_bits + root_bits) & 0xff, ((table - start_table) - low) & 0xffff);\n }\n code = new HuffmanCode((len - root_bits) & 0xff, sorted[symbol++] & 0xffff);\n ReplicateValue(root_table, table + (key >> root_bits), step, table_size, code);\n key = GetNextKey(key, len);\n }\n }\n \n return total_size;\n}\n","/* Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\n Lookup tables to map prefix codes to value ranges. This is used during\n decoding of the block lengths, literal insertion lengths and copy lengths.\n*/\n\n/* Represents the range of values belonging to a prefix code: */\n/* [offset, offset + 2^nbits) */\nfunction PrefixCodeRange(offset, nbits) {\n this.offset = offset;\n this.nbits = nbits;\n}\n\nexports.kBlockLengthPrefixCode = [\n new PrefixCodeRange(1, 2), new PrefixCodeRange(5, 2), new PrefixCodeRange(9, 2), new PrefixCodeRange(13, 2),\n new PrefixCodeRange(17, 3), new PrefixCodeRange(25, 3), new PrefixCodeRange(33, 3), new PrefixCodeRange(41, 3),\n new PrefixCodeRange(49, 4), new PrefixCodeRange(65, 4), new PrefixCodeRange(81, 4), new PrefixCodeRange(97, 4),\n new PrefixCodeRange(113, 5), new PrefixCodeRange(145, 5), new PrefixCodeRange(177, 5), new PrefixCodeRange(209, 5),\n new PrefixCodeRange(241, 6), new PrefixCodeRange(305, 6), new PrefixCodeRange(369, 7), new PrefixCodeRange(497, 8),\n new PrefixCodeRange(753, 9), new PrefixCodeRange(1265, 10), new PrefixCodeRange(2289, 11), new PrefixCodeRange(4337, 12),\n new PrefixCodeRange(8433, 13), new PrefixCodeRange(16625, 24)\n];\n\nexports.kInsertLengthPrefixCode = [\n new PrefixCodeRange(0, 0), new PrefixCodeRange(1, 0), new PrefixCodeRange(2, 0), new PrefixCodeRange(3, 0),\n new PrefixCodeRange(4, 0), new PrefixCodeRange(5, 0), new PrefixCodeRange(6, 1), new PrefixCodeRange(8, 1),\n new PrefixCodeRange(10, 2), new PrefixCodeRange(14, 2), new PrefixCodeRange(18, 3), new PrefixCodeRange(26, 3),\n new PrefixCodeRange(34, 4), new PrefixCodeRange(50, 4), new PrefixCodeRange(66, 5), new PrefixCodeRange(98, 5),\n new PrefixCodeRange(130, 6), new PrefixCodeRange(194, 7), new PrefixCodeRange(322, 8), new PrefixCodeRange(578, 9),\n new PrefixCodeRange(1090, 10), new PrefixCodeRange(2114, 12), new PrefixCodeRange(6210, 14), new PrefixCodeRange(22594, 24),\n];\n\nexports.kCopyLengthPrefixCode = [\n new PrefixCodeRange(2, 0), new PrefixCodeRange(3, 0), new PrefixCodeRange(4, 0), new PrefixCodeRange(5, 0),\n new PrefixCodeRange(6, 0), new PrefixCodeRange(7, 0), new PrefixCodeRange(8, 0), new PrefixCodeRange(9, 0),\n new PrefixCodeRange(10, 1), new PrefixCodeRange(12, 1), new PrefixCodeRange(14, 2), new PrefixCodeRange(18, 2),\n new PrefixCodeRange(22, 3), new PrefixCodeRange(30, 3), new PrefixCodeRange(38, 4), new PrefixCodeRange(54, 4),\n new PrefixCodeRange(70, 5), new PrefixCodeRange(102, 5), new PrefixCodeRange(134, 6), new PrefixCodeRange(198, 7),\n new PrefixCodeRange(326, 8), new PrefixCodeRange(582, 9), new PrefixCodeRange(1094, 10), new PrefixCodeRange(2118, 24),\n];\n\nexports.kInsertRangeLut = [\n 0, 0, 8, 8, 0, 16, 8, 16, 16,\n];\n\nexports.kCopyRangeLut = [\n 0, 8, 0, 8, 16, 0, 16, 8, 16,\n];\n","function BrotliInput(buffer) {\n this.buffer = buffer;\n this.pos = 0;\n}\n\nBrotliInput.prototype.read = function(buf, i, count) {\n if (this.pos + count > this.buffer.length) {\n count = this.buffer.length - this.pos;\n }\n \n for (var p = 0; p < count; p++)\n buf[i + p] = this.buffer[this.pos + p];\n \n this.pos += count;\n return count;\n}\n\nexports.BrotliInput = BrotliInput;\n\nfunction BrotliOutput(buf) {\n this.buffer = buf;\n this.pos = 0;\n}\n\nBrotliOutput.prototype.write = function(buf, count) {\n if (this.pos + count > this.buffer.length)\n throw new Error('Output buffer is not large enough');\n \n this.buffer.set(buf.subarray(0, count), this.pos);\n this.pos += count;\n return count;\n};\n\nexports.BrotliOutput = BrotliOutput;\n","/* Copyright 2013 Google Inc. All Rights Reserved.\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n\n Transformations on dictionary words.\n*/\n\nvar BrotliDictionary = require('./dictionary');\n\nvar kIdentity = 0;\nvar kOmitLast1 = 1;\nvar kOmitLast2 = 2;\nvar kOmitLast3 = 3;\nvar kOmitLast4 = 4;\nvar kOmitLast5 = 5;\nvar kOmitLast6 = 6;\nvar kOmitLast7 = 7;\nvar kOmitLast8 = 8;\nvar kOmitLast9 = 9;\nvar kUppercaseFirst = 10;\nvar kUppercaseAll = 11;\nvar kOmitFirst1 = 12;\nvar kOmitFirst2 = 13;\nvar kOmitFirst3 = 14;\nvar kOmitFirst4 = 15;\nvar kOmitFirst5 = 16;\nvar kOmitFirst6 = 17;\nvar kOmitFirst7 = 18;\nvar kOmitFirst8 = 19;\nvar kOmitFirst9 = 20;\n\nfunction Transform(prefix, transform, suffix) {\n this.prefix = new Uint8Array(prefix.length);\n this.transform = transform;\n this.suffix = new Uint8Array(suffix.length);\n \n for (var i = 0; i < prefix.length; i++)\n this.prefix[i] = prefix.charCodeAt(i);\n \n for (var i = 0; i < suffix.length; i++)\n this.suffix[i] = suffix.charCodeAt(i);\n}\n\nvar kTransforms = [\n new Transform( \"\", kIdentity, \"\" ),\n new Transform( \"\", kIdentity, \" \" ),\n new Transform( \" \", kIdentity, \" \" ),\n new Transform( \"\", kOmitFirst1, \"\" ),\n new Transform( \"\", kUppercaseFirst, \" \" ),\n new Transform( \"\", kIdentity, \" the \" ),\n new Transform( \" \", kIdentity, \"\" ),\n new Transform( \"s \", kIdentity, \" \" ),\n new Transform( \"\", kIdentity, \" of \" ),\n new Transform( \"\", kUppercaseFirst, \"\" ),\n new Transform( \"\", kIdentity, \" and \" ),\n new Transform( \"\", kOmitFirst2, \"\" ),\n new Transform( \"\", kOmitLast1, \"\" ),\n new Transform( \", \", kIdentity, \" \" ),\n new Transform( \"\", kIdentity, \", \" ),\n new Transform( \" \", kUppercaseFirst, \" \" ),\n new Transform( \"\", kIdentity, \" in \" ),\n new Transform( \"\", kIdentity, \" to \" ),\n new Transform( \"e \", kIdentity, \" \" ),\n new Transform( \"\", kIdentity, \"\\\"\" ),\n new Transform( \"\", kIdentity, \".\" ),\n new Transform( \"\", kIdentity, \"\\\">\" ),\n new Transform( \"\", kIdentity, \"\\n\" ),\n new Transform( \"\", kOmitLast3, \"\" ),\n new Transform( \"\", kIdentity, \"]\" ),\n new Transform( \"\", kIdentity, \" for \" ),\n new Transform( \"\", kOmitFirst3, \"\" ),\n new Transform( \"\", kOmitLast2, \"\" ),\n new Transform( \"\", kIdentity, \" a \" ),\n new Transform( \"\", kIdentity, \" that \" ),\n new Transform( \" \", kUppercaseFirst, \"\" ),\n new Transform( \"\", kIdentity, \". \" ),\n new Transform( \".\", kIdentity, \"\" ),\n new Transform( \" \", kIdentity, \", \" ),\n new Transform( \"\", kOmitFirst4, \"\" ),\n new Transform( \"\", kIdentity, \" with \" ),\n new Transform( \"\", kIdentity, \"'\" ),\n new Transform( \"\", kIdentity, \" from \" ),\n new Transform( \"\", kIdentity, \" by \" ),\n new Transform( \"\", kOmitFirst5, \"\" ),\n new Transform( \"\", kOmitFirst6, \"\" ),\n new Transform( \" the \", kIdentity, \"\" ),\n new Transform( \"\", kOmitLast4, \"\" ),\n new Transform( \"\", kIdentity, \". The \" ),\n new Transform( \"\", kUppercaseAll, \"\" ),\n new Transform( \"\", kIdentity, \" on \" ),\n new Transform( \"\", kIdentity, \" as \" ),\n new Transform( \"\", kIdentity, \" is \" ),\n new Transform( \"\", kOmitLast7, \"\" ),\n new Transform( \"\", kOmitLast1, \"ing \" ),\n new Transform( \"\", kIdentity, \"\\n\\t\" ),\n new Transform( \"\", kIdentity, \":\" ),\n new Transform( \" \", kIdentity, \". \" ),\n new Transform( \"\", kIdentity, \"ed \" ),\n new Transform( \"\", kOmitFirst9, \"\" ),\n new Transform( \"\", kOmitFirst7, \"\" ),\n new Transform( \"\", kOmitLast6, \"\" ),\n new Transform( \"\", kIdentity, \"(\" ),\n new Transform( \"\", kUppercaseFirst, \", \" ),\n new Transform( \"\", kOmitLast8, \"\" ),\n new Transform( \"\", kIdentity, \" at \" ),\n new Transform( \"\", kIdentity, \"ly \" ),\n new Transform( \" the \", kIdentity, \" of \" ),\n new Transform( \"\", kOmitLast5, \"\" ),\n new Transform( \"\", kOmitLast9, \"\" ),\n new Transform( \" \", kUppercaseFirst, \", \" ),\n new Transform( \"\", kUppercaseFirst, \"\\\"\" ),\n new Transform( \".\", kIdentity, \"(\" ),\n new Transform( \"\", kUppercaseAll, \" \" ),\n new Transform( \"\", kUppercaseFirst, \"\\\">\" ),\n new Transform( \"\", kIdentity, \"=\\\"\" ),\n new Transform( \" \", kIdentity, \".\" ),\n new Transform( \".com/\", kIdentity, \"\" ),\n new Transform( \" the \", kIdentity, \" of the \" ),\n new Transform( \"\", kUppercaseFirst, \"'\" ),\n new Transform( \"\", kIdentity, \". This \" ),\n new Transform( \"\", kIdentity, \",\" ),\n new Transform( \".\", kIdentity, \" \" ),\n new Transform( \"\", kUppercaseFirst, \"(\" ),\n new Transform( \"\", kUppercaseFirst, \".\" ),\n new Transform( \"\", kIdentity, \" not \" ),\n new Transform( \" \", kIdentity, \"=\\\"\" ),\n new Transform( \"\", kIdentity, \"er \" ),\n new Transform( \" \", kUppercaseAll, \" \" ),\n new Transform( \"\", kIdentity, \"al \" ),\n new Transform( \" \", kUppercaseAll, \"\" ),\n new Transform( \"\", kIdentity, \"='\" ),\n new Transform( \"\", kUppercaseAll, \"\\\"\" ),\n new Transform( \"\", kUppercaseFirst, \". \" ),\n new Transform( \" \", kIdentity, \"(\" ),\n new Transform( \"\", kIdentity, \"ful \" ),\n new Transform( \" \", kUppercaseFirst, \". \" ),\n new Transform( \"\", kIdentity, \"ive \" ),\n new Transform( \"\", kIdentity, \"less \" ),\n new Transform( \"\", kUppercaseAll, \"'\" ),\n new Transform( \"\", kIdentity, \"est \" ),\n new Transform( \" \", kUppercaseFirst, \".\" ),\n new Transform( \"\", kUppercaseAll, \"\\\">\" ),\n new Transform( \" \", kIdentity, \"='\" ),\n new Transform( \"\", kUppercaseFirst, \",\" ),\n new Transform( \"\", kIdentity, \"ize \" ),\n new Transform( \"\", kUppercaseAll, \".\" ),\n new Transform( \"\\xc2\\xa0\", kIdentity, \"\" ),\n new Transform( \" \", kIdentity, \",\" ),\n new Transform( \"\", kUppercaseFirst, \"=\\\"\" ),\n new Transform( \"\", kUppercaseAll, \"=\\\"\" ),\n new Transform( \"\", kIdentity, \"ous \" ),\n new Transform( \"\", kUppercaseAll, \", \" ),\n new Transform( \"\", kUppercaseFirst, \"='\" ),\n new Transform( \" \", kUppercaseFirst, \",\" ),\n new Transform( \" \", kUppercaseAll, \"=\\\"\" ),\n new Transform( \" \", kUppercaseAll, \", \" ),\n new Transform( \"\", kUppercaseAll, \",\" ),\n new Transform( \"\", kUppercaseAll, \"(\" ),\n new Transform( \"\", kUppercaseAll, \". \" ),\n new Transform( \" \", kUppercaseAll, \".\" ),\n new Transform( \"\", kUppercaseAll, \"='\" ),\n new Transform( \" \", kUppercaseAll, \". \" ),\n new Transform( \" \", kUppercaseFirst, \"=\\\"\" ),\n new Transform( \" \", kUppercaseAll, \"='\" ),\n new Transform( \" \", kUppercaseFirst, \"='\" )\n];\n\nexports.kTransforms = kTransforms;\nexports.kNumTransforms = kTransforms.length;\n\nfunction ToUpperCase(p, i) {\n if (p[i] < 0xc0) {\n if (p[i] >= 97 && p[i] <= 122) {\n p[i] ^= 32;\n }\n return 1;\n }\n \n /* An overly simplified uppercasing model for utf-8. */\n if (p[i] < 0xe0) {\n p[i + 1] ^= 32;\n return 2;\n }\n \n /* An arbitrary transform for three byte characters. */\n p[i + 2] ^= 5;\n return 3;\n}\n\nexports.transformDictionaryWord = function(dst, idx, word, len, transform) {\n var prefix = kTransforms[transform].prefix;\n var suffix = kTransforms[transform].suffix;\n var t = kTransforms[transform].transform;\n var skip = t < kOmitFirst1 ? 0 : t - (kOmitFirst1 - 1);\n var i = 0;\n var start_idx = idx;\n var uppercase;\n \n if (skip > len) {\n skip = len;\n }\n \n var prefix_pos = 0;\n while (prefix_pos < prefix.length) {\n dst[idx++] = prefix[prefix_pos++];\n }\n \n word += skip;\n len -= skip;\n \n if (t <= kOmitLast9) {\n len -= t;\n }\n \n for (i = 0; i < len; i++) {\n dst[idx++] = BrotliDictionary.dictionary[word + i];\n }\n \n uppercase = idx - len;\n \n if (t === kUppercaseFirst) {\n ToUpperCase(dst, uppercase);\n } else if (t === kUppercaseAll) {\n while (len > 0) {\n var step = ToUpperCase(dst, uppercase);\n uppercase += step;\n len -= step;\n }\n }\n \n var suffix_pos = 0;\n while (suffix_pos < suffix.length) {\n dst[idx++] = suffix[suffix_pos++];\n }\n \n return idx - start_idx;\n}\n","module.exports = require('./dec/decode').BrotliDecompressBuffer;\n"],"names":["BROTLI_READ_SIZE","kBitMask","Uint32Array","BrotliBitReader","input","this","buf_","Uint8Array","input_","reset","READ_SIZE","IBUF_MASK","prototype","buf_ptr_","val_","pos_","bit_pos_","bit_end_pos_","eos_","readMoreInput","i","Error","dst","bytes_read","read","p","fillBitWindow","readBits","n_bits","val","module","exports","lookup","lookupOffsets","Uint16Array","BrotliInput","BrotliOutput","BrotliDictionary","HuffmanCode","BrotliBuildHuffmanTable","Context","Prefix","Transform","kDefaultCodeLength","kCodeLengthRepeatCode","kNumLiteralCodes","kNumInsertAndCopyCodes","kNumBlockLengthCodes","kLiteralContextBits","kDistanceContextBits","HUFFMAN_TABLE_BITS","HUFFMAN_TABLE_MASK","HUFFMAN_MAX_TABLE_SIZE","CODE_LENGTH_CODES","kCodeLengthCodeOrder","NUM_DISTANCE_SHORT_CODES","kDistanceShortCodeIndexOffset","kDistanceShortCodeValueOffset","Int8Array","kMaxHuffmanTableSize","DecodeWindowBits","br","n","DecodeVarLenUint8","nbits","MetaBlockLength","meta_block_length","input_end","is_uncompressed","is_metadata","DecodeMetaBlockLength","size_nibbles","size_bytes","out","next_byte","next_nibble","ReadSymbol","table","index","bits","value","ReadHuffmanCode","alphabet_size","tables","table_size","simple_code_or_skip","code_lengths","max_bits_counter","max_bits","symbols","Int32Array","num_symbols","code_length_code_lengths","space","num_codes","huff","v","code_len_idx","symbol","prev_code_len","repeat","repeat_code_len","push","code_len","old_repeat","repeat_delta","extra_bits","new_len","x","ReadHuffmanCodeLengths","ReadBlockLength","code","kBlockLengthPrefixCode","offset","TranslateShortCodes","ringbuffer","MoveToFront","HuffmanTreeGroup","num_htrees","codes","Array","htrees","DecodeContextMap","context_map_size","context_map","max_run_length_prefix","reps","v_len","mtf","InverseMoveToFrontTransform","DecodeBlockType","max_block_type","trees","tree_type","block_types","ringbuffers","indexes","block_type","type_code","CopyUncompressedBlockToOutput","output","len","pos","ringbuffer_mask","nbytes","rb_size","rb_pos","br_pos","write","tail","JumpToByteBoundary","new_bit_pos","BrotliDecompressedSize","buffer","BrotliDecompress","window_bits","max_backward_distance","ringbuffer_size","ringbuffer_end","block_type_trees","block_len_trees","max_distance","dist_rb","dist_rb_idx","prev_byte1","prev_byte2","hgroup","kRingBufferWriteAheadSlack","maxDictionaryWordLength","distance_postfix_bits","num_direct_distance_codes","distance_postfix_mask","num_distance_codes","num_literal_htrees","dist_context_map","num_dist_htrees","context_mode","htree_command","meta_block_remaining_len","block_length","num_block_types","block_type_rb","block_type_rb_index","context_modes","context_map_slice","literal_htree_index","dist_context_map_slice","dist_htree_index","context_lookup_offset1","context_lookup_offset2","_out","length","tmp","set","_o1","_o2","decode","cmd_code","range_idx","insert_code","copy_code","insert_length","copy_length","distance_code","distance","j","copy_dst","postfix","kInsertRangeLut","kCopyRangeLut","kInsertLengthPrefixCode","kCopyLengthPrefixCode","minDictionaryWordLength","offsetsByLength","word_id","shift","sizeBitsByLength","transform_idx","kNumTransforms","transformDictionaryWord","_x","next","BrotliDecompressBuffer","output_size","output_buffer","subarray","init","base64","toByteArray","data","dictionary","MAX_LENGTH","GetNextKey","key","step","ReplicateValue","end","NextTableBitSize","count","root_bits","left","root_table","code_lengths_size","low","mask","table_bits","total_size","sorted","start_table","PrefixCodeRange","buf","kUppercaseFirst","kUppercaseAll","prefix","transform","suffix","charCodeAt","kTransforms","ToUpperCase","idx","word","uppercase","t","skip","start_idx","prefix_pos","suffix_pos"],"sourceRoot":""}