diff --git a/bindings/python/Cargo.lock b/bindings/python/Cargo.lock index 9e6f2d678f..67767568e4 100644 --- a/bindings/python/Cargo.lock +++ b/bindings/python/Cargo.lock @@ -25,6 +25,18 @@ dependencies = [ "memchr", ] +[[package]] +name = "allocator-api2" +version = "0.2.21" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "683d7910e743518b0e34f1186f92494becacb047c7b6bf616c96772180fef923" + +[[package]] +name = "anes" +version = "0.1.6" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "4b46cbb362ab8752921c97e041f5e366ee6297bd428a31275b9fcf1e380f7299" + [[package]] name = "anstream" version = "1.0.0" @@ -75,6 +87,19 @@ dependencies = [ "windows-sys", ] +[[package]] +name = "arbitrary-chunks" +version = "0.4.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "2ad8689a486416c401ea15715a4694de30054248ec627edbf31f49cb64ee4086" + +[[package]] +name = "atomsplit" +version = "0.1.0" +dependencies = [ + "memchr", +] + [[package]] name = "autocfg" version = "1.5.1" @@ -87,18 +112,67 @@ version = "0.13.1" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "9e1b586273c5702936fe7b7d6896644d8be71e6314cfe09d3167c95f712589e8" +[[package]] +name = "bit-set" +version = "0.8.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "08807e080ed7f9d5433fa9b275196cfc35414f66a0c79d864dc51a0d825231a3" +dependencies = [ + "bit-vec", +] + +[[package]] +name = "bit-vec" +version = "0.8.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "5e764a1d40d510daf35e07be9eb06e75770908c27d411ee6c92109c9840eaaf7" + [[package]] name = "bitflags" version = "2.13.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "b4388bee8683e3d04af747c73422af53102d2bd24d9eadb6cbc100baef4b43f8" +[[package]] +name = "bitvec" +version = "1.1.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "ddcec3d12c579d40898fe0a9a358a803c23e9c52ca3c425707f81c9436211837" +dependencies = [ + "funty", + "radium", + "tap", + "wyz", +] + +[[package]] +name = "block-pseudorand" +version = "0.1.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "2097358495d244a0643746f4d13eedba4608137008cf9dec54e53a3b700115a6" +dependencies = [ + "chiapos-chacha8", + "nanorand", +] + [[package]] name = "bumpalo" version = "3.20.3" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "72f5acc6cb2ba439de613abc23857ec3d78374d8ed5ac84e9d11336e87da8649" +[[package]] +name = "byteorder" +version = "1.5.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b" + +[[package]] +name = "cast" +version = "0.3.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "37b2a672a2cb129a2e41c10b1224bb368f9f37a2b16b612598138befd7b37eb5" + [[package]] name = "castaway" version = "0.2.4" @@ -124,12 +198,93 @@ version = "1.0.4" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "9330f8b2ff13f34540b44e946ef35111825727b38d33286ef986142615121801" +[[package]] +name = "chacha20" +version = "0.10.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "d524456ba66e72eb8b115ff89e01e497f8e6d11d78b70b1aa13c0fbd97540a81" +dependencies = [ + "cfg-if", + "cpufeatures", + "rand_core 0.10.1", +] + +[[package]] +name = "chiapos-chacha8" +version = "0.1.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "33f8be573a85f6c2bc1b8e43834c07e32f95e489b914bf856c0549c3c269cd0a" +dependencies = [ + "rayon", +] + +[[package]] +name = "ciborium" +version = "0.2.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "42e69ffd6f0917f5c029256a24d0161db17cea3997d185db0d35926308770f0e" +dependencies = [ + "ciborium-io", + "ciborium-ll", + "serde", +] + +[[package]] +name = "ciborium-io" +version = "0.2.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "05afea1e0a06c9be33d539b876f1ce3692f4afea2cb41f740e7743225ed1c757" + +[[package]] +name = "ciborium-ll" +version = "0.2.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "57663b653d948a338bfb3eeba9bb2fd5fcfaecb9e199e87e1eda4d9e8b240fd9" +dependencies = [ + "ciborium-io", + "half", +] + +[[package]] +name = "clap" +version = "4.6.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "1ddb117e43bbf7dacf0a4190fef4d345b9bad68dfc649cb349e7d17d28428e51" +dependencies = [ + "clap_builder", +] + +[[package]] +name = "clap_builder" +version = "4.6.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "714a53001bf66416adb0e2ef5ac857140e7dc3a0c48fb28b2f10762fc4b5069f" +dependencies = [ + "anstyle", + "clap_lex", +] + +[[package]] +name = "clap_lex" +version = "1.1.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "c8d4a3bb8b1e0c1050499d1815f5ab16d04f0959b233085fb31653fbfc9d98f9" + [[package]] name = "colorchoice" version = "1.0.5" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "1d07550c9036bf2ae0c684c4297d503f838287c83c53686d05370d0e139ae570" +[[package]] +name = "colored" +version = "3.1.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "faf9468729b8cbcea668e36183cb69d317348c2e08e994829fb56ebfdfbaac34" +dependencies = [ + "windows-sys", +] + [[package]] name = "compact_str" version = "0.9.1" @@ -157,6 +312,51 @@ dependencies = [ "windows-sys", ] +[[package]] +name = "cpufeatures" +version = "0.3.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "8b2a41393f66f16b0823bb79094d54ac5fbd34ab292ddafb9a0456ac9f87d201" +dependencies = [ + "libc", +] + +[[package]] +name = "criterion" +version = "0.5.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "f2b12d017a929603d80db1831cd3a24082f8137ce19c69e6447f54f5fc8d692f" +dependencies = [ + "anes", + "cast", + "ciborium", + "clap", + "criterion-plot", + "is-terminal", + "itertools 0.10.5", + "num-traits", + "once_cell", + "oorandom", + "plotters", + "rayon", + "regex", + "serde", + "serde_derive", + "serde_json", + "tinytemplate", + "walkdir", +] + +[[package]] +name = "criterion-plot" +version = "0.5.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "6b50826342786a51a89e2da3a28f1c32b06e387201bc2d19791f622c673706b1" +dependencies = [ + "cast", + "itertools 0.10.5", +] + [[package]] name = "crossbeam-deque" version = "0.8.6" @@ -183,10 +383,10 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "d0a5c400df2834b80a4c3327b3aad3a4c4cd4de0629063962b03235697506a28" [[package]] -name = "daachorse" -version = "3.0.2" +name = "crunchy" +version = "0.2.4" source = 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"registry+https://github.com/rust-lang/crates.io-index" checksum = "3f9eec918d3f24069decb9af1554cad7c880e2da24a9afd88aca000531ab82c1" +[[package]] +name = "foldhash" +version = "0.2.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "77ce24cb58228fbb8aa041425bb1050850ac19177686ea6e0f41a70416f56fdb" + +[[package]] +name = "funty" +version = "2.0.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "e6d5a32815ae3f33302d95fdcb2ce17862f8c65363dcfd29360480ba1001fc9c" + [[package]] name = "futures-channel" version = "0.3.32" @@ -380,6 +609,15 @@ dependencies = [ "slab", ] +[[package]] +name = "fxhash" +version = "0.2.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "c31b6d751ae2c7f11320402d34e41349dd1016f8d5d45e48c4312bc8625af50c" +dependencies = [ + "byteorder", +] + [[package]] name = "getrandom" version = "0.3.4" @@ -401,6 +639,29 @@ dependencies = [ "cfg-if", "libc", "r-efi 6.0.0", + "rand_core 0.10.1", +] + +[[package]] +name = "half" +version = "2.7.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "6ea2d84b969582b4b1864a92dc5d27cd2b77b622a8d79306834f1be5ba20d84b" +dependencies = [ + "cfg-if", + "crunchy", + "zerocopy", +] + +[[package]] +name = "hashbrown" +version = "0.16.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "841d1cc9bed7f9236f321df977030373f4a4163ae1a7dbfe1a51a2c1a51d9100" +dependencies = [ + "allocator-api2", + "equivalent", + "foldhash", ] [[package]] @@ -409,6 +670,12 @@ version = "0.5.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "2304e00983f87ffb38b55b444b5e3b60a884b5d30c0fca7d82fe33449bbe55ea" +[[package]] +name = "hermit-abi" +version = "0.5.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "fc0fef456e4baa96da950455cd02c081ca953b141298e41db3fc7e36b1da849c" + [[package]] name = "ident_case" version = "1.0.1" @@ -428,12 +695,32 @@ dependencies = [ "web-time", ] +[[package]] +name = "is-terminal" +version = "0.4.17" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "3640c1c38b8e4e43584d8df18be5fc6b0aa314ce6ebf51b53313d4306cca8e46" +dependencies = [ + "hermit-abi", + "libc", + "windows-sys", +] + [[package]] name = "is_terminal_polyfill" version = "1.70.2" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "a6cb138bb79a146c1bd460005623e142ef0181e3d0219cb493e02f7d08a35695" +[[package]] +name = "itertools" +version = "0.10.5" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "b0fd2260e829bddf4cb6ea802289de2f86d6a7a690192fbe91b3f46e0f2c8473" +dependencies = [ + "either", +] + [[package]] name = "itertools" version = "0.14.0" @@ -443,6 +730,15 @@ dependencies = [ "either", ] +[[package]] +name = "itertools" +version = "0.15.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = 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"onig_sys", -] +checksum = "d6790f58c7ff633d8771f42965289203411a5e5c68388703c06e14f24770b41e" [[package]] -name = "onig_sys" -version = "69.9.3" +name = "partition" +version = "0.1.2" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "1e68317604e77e53b85896388e1a803c1d21b74c899ec9e5e1112db90735edd7" -dependencies = [ - "cc", - "pkg-config", -] +checksum = "947f833aaa585cf12b8ec7c0476c98784c49f33b861376ffc84ed92adebf2aba" [[package]] name = "paste" @@ -703,10 +995,32 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "a89322df9ebe1c1578d689c92318e070967d1042b512afbe49518723f4e6d5cd" [[package]] -name = "pkg-config" -version = "0.3.33" +name = "plotters" +version = "0.3.7" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "19f132c84eca552bf34cab8ec81f1c1dcc229b811638f9d283dceabe58c5569e" +checksum = "5aeb6f403d7a4911efb1e33402027fc44f29b5bf6def3effcc22d7bb75f2b747" +dependencies = [ + "num-traits", + "plotters-backend", + "plotters-svg", + "wasm-bindgen", + "web-sys", +] + +[[package]] +name = "plotters-backend" +version = "0.3.7" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "df42e13c12958a16b3f7f4386b9ab1f3e7933914ecea48da7139435263a4172a" + +[[package]] +name = "plotters-svg" +version = "0.3.7" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "51bae2ac328883f7acdfea3d66a7c35751187f870bc81f94563733a154d7a670" +dependencies = [ + "plotters-backend", +] [[package]] name = "portable-atomic" @@ -732,6 +1046,12 @@ dependencies = [ "zerocopy", ] +[[package]] +name = "prefetch-index" +version = "0.2.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "9057806a8d77d67bccdc0f542db43737a6f19ada3efab2adc63277feea27310f" + [[package]] name = "proc-macro2" version = "1.0.106" @@ -741,6 +1061,29 @@ dependencies = [ "unicode-ident", ] +[[package]] +name = "ptr_hash" +version = "2.0.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "9f184d2c69ac0853853275df42e7160a7dc4f3248d93434002c28de27ed3f6d0" +dependencies = [ + "bitvec", + "colored", + "fastrand", + "fxhash", + "itertools 0.15.0", + "log", + "mem_dbg", + "prefetch-index", + "rand 0.10.2", + "rand_chacha 0.10.0", + "rayon", + "rdst", + "serde", + "tempfile", + "xxhash-rust", +] + [[package]] name = "pyo3" version = "0.29.0" @@ -833,14 +1176,31 @@ version = "6.0.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "f8dcc9c7d52a811697d2151c701e0d08956f92b0e24136cf4cf27b57a6a0d9bf" +[[package]] +name = "radium" +version = "0.7.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "dc33ff2d4973d518d823d61aa239014831e521c75da58e3df4840d3f47749d09" + [[package]] name = "rand" version = "0.9.4" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "44c5af06bb1b7d3216d91932aed5265164bf384dc89cd6ba05cf59a35f5f76ea" dependencies = [ - "rand_chacha", - "rand_core", + "rand_chacha 0.9.0", + "rand_core 0.9.5", +] + +[[package]] +name = "rand" +version = "0.10.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "c7f5fa3a058cd35567ef9bfa5e75732bee0f9e4c55fa90477bef2dfcdbc4be80" +dependencies = [ + "chacha20", + "getrandom 0.4.3", + "rand_core 0.10.1", ] [[package]] @@ -850,7 +1210,17 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "d3022b5f1df60f26e1ffddd6c66e8aa15de382ae63b3a0c1bfc0e4d3e3f325cb" dependencies = [ "ppv-lite86", - "rand_core", + "rand_core 0.9.5", +] + +[[package]] +name = "rand_chacha" +version = "0.10.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "3e6af7f3e25ded52c41df4e0b1af2d047e45896c2f3281792ed68a1c243daedb" +dependencies = [ + "ppv-lite86", + "rand_core 0.10.1", ] [[package]] @@ -862,6 +1232,12 @@ dependencies = [ "getrandom 0.3.4", ] +[[package]] +name = "rand_core" +version = "0.10.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "63b8176103e19a2643978565ca18b50549f6101881c443590420e4dc998a3c69" + [[package]] name = "rawpointer" version = "0.2.1" @@ -885,7 +1261,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "2964d0cf57a3e7a06e8183d14a8b527195c706b7983549cd5462d5aa3747438f" dependencies = [ "either", - "itertools", + "itertools 0.14.0", "rayon", ] @@ -899,6 +1275,21 @@ dependencies = [ "crossbeam-utils", ] +[[package]] +name = "rdst" +version = "0.20.14" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "6e7970b4e577b76a96d5e56b5f6662b66d1a4e1f5bb026ee118fc31b373c2752" +dependencies = [ + "arbitrary-chunks", + "block-pseudorand", + "criterion", + "partition", + "rayon", + "tikv-jemallocator", + "voracious_radix_sort", +] + [[package]] name = "regex" version = "1.12.4" @@ -959,6 +1350,15 @@ version = "1.0.23" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "9774ba4a74de5f7b1c1451ed6cd5285a32eddb5cccb8cc655a4e50009e06477f" +[[package]] +name = "same-file" +version = "1.0.6" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "93fc1dc3aaa9bfed95e02e6eadabb4baf7e3078b0bd1b4d7b6b0b68378900502" +dependencies = [ + "winapi-util", +] + [[package]] name = "serde" version = "1.0.228" @@ -1065,6 +1465,12 @@ dependencies = [ "unicode-ident", ] +[[package]] +name = "tap" +version = "1.0.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "55937e1799185b12863d447f42597ed69d9928686b8d88a1df17376a097d8369" + [[package]] name = "target-lexicon" version = "0.13.5" @@ -1104,35 +1510,79 @@ dependencies = [ "syn", ] +[[package]] +name = "tikv-jemalloc-sys" +version = "0.5.4+5.3.0-patched" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "9402443cb8fd499b6f327e40565234ff34dbda27460c5b47db0db77443dd85d1" +dependencies = [ + "cc", + "libc", +] + +[[package]] +name = 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dependencies = [ "ahash", - "compact_str", - "daachorse", + "atomsplit", "dary_heap", - "derive_builder", + "fancy-regex", "getrandom 0.3.4", "indicatif", - "itertools", "log", "macro_rules_attribute", - "monostate", - "onig", + "memchr", "paste", - "rand", + "ptr_hash", + "rand 0.9.4", "rayon", "rayon-cond", "regex", - "regex-syntax", "serde", "serde_json", "spm_precompiled", "thiserror", + "unicode-normalization", "unicode-normalization-alignments", "unicode-segmentation", "unicode_categories", + "yada", ] [[package]] @@ -1145,7 +1595,7 @@ dependencies = [ "derive_builder", "esaxx-rs", "indicatif", - "itertools", + "itertools 0.14.0", "log", "rayon", "serde", @@ -1168,7 +1618,7 @@ version = "0.23.2-dev.0" dependencies = [ "ahash", "env_logger", - "itertools", + "itertools 0.14.0", "libc", "ndarray 0.16.1", "numpy", @@ -1216,6 +1666,15 @@ version = "1.0.24" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "e6e4313cd5fcd3dad5cafa179702e2b244f760991f45397d14d4ebf38247da75" +[[package]] +name = "unicode-normalization" +version = "0.1.25" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "5fd4f6878c9cb28d874b009da9e8d183b5abc80117c40bbd187a1fde336be6e8" +dependencies = [ + "tinyvec", +] + [[package]] name = "unicode-normalization-alignments" version = "0.1.12" @@ -1261,6 +1720,25 @@ version = "0.9.5" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "0b928f33d975fc6ad9f86c8f283853ad26bdd5b10b7f1542aa2fa15e2289105a" +[[package]] +name = "voracious_radix_sort" +version = "1.2.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "446e7ffcb6c27a71d05af7e51ef2ee5b71c48424b122a832f2439651e1914899" +dependencies = [ + "rayon", +] + +[[package]] +name = "walkdir" +version = "2.5.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "29790946404f91d9c5d06f9874efddea1dc06c5efe94541a7d6863108e3a5e4b" +dependencies = [ + "same-file", + "winapi-util", +] + [[package]] name = "wasi" version = "0.11.1+wasi-snapshot-preview1" @@ -1321,6 +1799,16 @@ dependencies = [ "unicode-ident", ] +[[package]] +name = "web-sys" +version = "0.3.102" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "a6430a72df5eb332242960fe84b3002a241163998241eb596d4f739b9757061d" +dependencies = [ + "js-sys", + "wasm-bindgen", +] + [[package]] name = "web-time" version = "1.1.0" @@ -1331,6 +1819,15 @@ dependencies = [ "wasm-bindgen", ] +[[package]] +name = "winapi-util" +version = "0.1.11" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "c2a7b1c03c876122aa43f3020e6c3c3ee5c05081c9a00739faf7503aeba10d22" +dependencies = [ + "windows-sys", +] + [[package]] name = "windows-link" version = "0.2.1" @@ -1352,6 +1849,27 @@ version = "0.57.1" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "1ebf944e87a7c253233ad6766e082e3cd714b5d03812acc24c318f549614536e" +[[package]] +name = "wyz" +version = "0.5.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "05f360fc0b24296329c78fda852a1e9ae82de9cf7b27dae4b7f62f118f77b9ed" +dependencies = [ + "tap", +] + +[[package]] +name = "xxhash-rust" +version = "0.8.17" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "985eec839aaf2a1270af8f4ebcf63cf9401cfd90f0902f97c28d9f104ffbde72" + +[[package]] +name = "yada" +version = "0.7.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "53c3bb06259642a57b4ea1bf2a8260f7d94b7b78a096c46f193318918d925f61" + [[package]] name = "zerocopy" version = "0.8.52" diff --git a/bindings/python/src/decoders.rs b/bindings/python/src/decoders.rs deleted file mode 100644 index 7bea11fa15..0000000000 --- a/bindings/python/src/decoders.rs +++ /dev/null @@ -1,933 +0,0 @@ -use std::sync::{Arc, RwLock}; - -use crate::pre_tokenizers::from_string; -use crate::tokenizer::PyTokenizer; -use crate::utils::PyPattern; -use pyo3::exceptions; -use pyo3::prelude::*; -use pyo3::types::*; -use serde::de::Error; -use serde::{Deserialize, Deserializer, Serialize, Serializer}; -use tk::decoders::bpe::BPEDecoder; -use tk::decoders::byte_fallback::ByteFallback; -use tk::decoders::byte_level::ByteLevel; -use tk::decoders::ctc::CTC; -use tk::decoders::fuse::Fuse; -use tk::decoders::metaspace::{Metaspace, PrependScheme}; -use tk::decoders::sequence::Sequence; -use tk::decoders::strip::Strip; -use tk::decoders::wordpiece::WordPiece; -use tk::decoders::DecoderWrapper; -use tk::normalizers::replace::Replace; -use tk::Decoder; -use tokenizers as tk; - -use super::error::ToPyResult; - -/// Base class for all decoders -/// -/// This class is not supposed to be instantiated directly. Instead, any implementation of -/// a Decoder will return an instance of this class when instantiated. -#[pyclass( - dict, - module = "tokenizers.decoders", - name = "Decoder", - subclass, - from_py_object -)] -#[derive(Clone, Deserialize, Serialize)] -#[serde(transparent)] -pub struct PyDecoder { - pub(crate) decoder: PyDecoderWrapper, -} - -impl PyDecoder { - pub(crate) fn new(decoder: PyDecoderWrapper) -> Self { - PyDecoder { decoder } - } - - pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult> { - let base = self.clone(); - Ok(match &self.decoder { - PyDecoderWrapper::Custom(_) => Py::new(py, base)?.into_any(), - PyDecoderWrapper::Wrapped(inner) => match &*inner.as_ref().read().unwrap() { - DecoderWrapper::Metaspace(_) => Py::new(py, (PyMetaspaceDec {}, base))?.into_any(), - DecoderWrapper::WordPiece(_) => Py::new(py, (PyWordPieceDec {}, base))?.into_any(), - DecoderWrapper::ByteFallback(_) => { - Py::new(py, (PyByteFallbackDec {}, base))?.into_any() - } - DecoderWrapper::Strip(_) => Py::new(py, (PyStrip {}, base))?.into_any(), - DecoderWrapper::Fuse(_) => Py::new(py, (PyFuseDec {}, base))?.into_any(), - DecoderWrapper::ByteLevel(_) => Py::new(py, (PyByteLevelDec {}, base))?.into_any(), - DecoderWrapper::Replace(_) => Py::new(py, (PyReplaceDec {}, base))?.into_any(), - DecoderWrapper::BPE(_) => Py::new(py, (PyBPEDecoder {}, base))?.into_any(), - DecoderWrapper::CTC(_) => Py::new(py, (PyCTCDecoder {}, base))?.into_any(), - DecoderWrapper::Sequence(_) => { - Py::new(py, (PySequenceDecoder {}, base))?.into_any() - } - }, - }) - } -} - -impl Decoder for PyDecoder { - fn decode_chain(&self, tokens: Vec) -> tk::Result> { - self.decoder.decode_chain(tokens) - } -} - -#[pymethods] -impl PyDecoder { - #[staticmethod] - #[pyo3(text_signature = "(decoder)")] - fn custom(decoder: Py) -> Self { - let decoder = PyDecoderWrapper::Custom(Arc::new(RwLock::new(CustomDecoder::new(decoder)))); - PyDecoder::new(decoder) - } - - fn __getstate__(&self, py: Python) -> PyResult> { - let data = serde_json::to_string(&self.decoder).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to pickle Decoder: {e}" - )) - })?; - Ok(PyBytes::new(py, data.as_bytes()).into()) - } - - fn __setstate__(&mut self, py: Python, state: Py) -> PyResult<()> { - match state.extract::<&[u8]>(py) { - Ok(s) => { - self.decoder = serde_json::from_slice(s).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to unpickle Decoder: {e}" - )) - })?; - Ok(()) - } - Err(e) => Err(e.into()), - } - } - - /// Decode the given list of tokens to a final string - /// - /// Args: - /// tokens (:obj:`List[str]`): - /// The list of tokens to decode - /// - /// Returns: - /// :obj:`str`: The decoded string - #[pyo3(text_signature = "(self, tokens)")] - fn decode(&self, tokens: Vec) -> PyResult { - ToPyResult(self.decoder.decode(tokens)).into() - } - - fn __repr__(&self) -> PyResult { - crate::utils::serde_pyo3::repr(self) - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - } - - fn __str__(&self) -> PyResult { - crate::utils::serde_pyo3::to_string(self) - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - } -} - -macro_rules! getter { - ($self: ident, $variant: ident, $($name: tt)+) => {{ - let super_ = $self.as_ref(); - if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder { - if let DecoderWrapper::$variant(ref dec) = *wrap.read().unwrap() { - dec.$($name)+ - } else { - unreachable!() - } - } else { - unreachable!() - } - }}; -} - -macro_rules! setter { - ($self: ident, $variant: ident, $name: ident, $value: expr) => {{ - let super_ = $self.as_ref(); - if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder { - if let DecoderWrapper::$variant(ref mut dec) = *wrap.write().unwrap() { - dec.$name = $value; - } - } - }}; - ($self: ident, $variant: ident, @$name: ident, $value: expr) => {{ - let super_ = $self.as_ref(); - if let PyDecoderWrapper::Wrapped(ref wrap) = super_.decoder { - if let DecoderWrapper::$variant(ref mut dec) = *wrap.write().unwrap() { - dec.$name($value); - } - } - }}; -} - -/// ByteLevel Decoder -/// -/// This decoder is to be used in tandem with the -/// :class:`~tokenizers.pre_tokenizers.ByteLevel` pre-tokenizer. It reverses the -/// byte-to-unicode mapping applied during pre-tokenization, converting the special -/// Unicode characters back into the original bytes to reconstruct the original string. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import ByteLevel -/// >>> decoder = ByteLevel() -/// >>> decoder.decode(["ĠHello", "Ġworld"]) -/// ' Hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "ByteLevel")] -pub struct PyByteLevelDec {} -#[pymethods] -impl PyByteLevelDec { - #[new] - #[pyo3(signature = (**_kwargs), text_signature = "(self)")] - fn new(_kwargs: Option<&Bound<'_, PyDict>>) -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(ByteLevel::default())) - .add_subclass(PyByteLevelDec {}) - } -} - -/// Replace Decoder -/// -/// This decoder is to be used in tandem with the -/// :class:`~tokenizers.normalizers.Replace` normalizer or a similar replace operation. -/// It reverses a string replacement by substituting the replacement content back -/// with the original pattern. -/// -/// Args: -/// pattern (:obj:`str` or :class:`~tokenizers.Regex`): -/// The pattern that was used as the replacement target during encoding. -/// -/// content (:obj:`str`): -/// The string to replace each match of the pattern with during decoding. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import Replace -/// >>> decoder = Replace("▁", " ") -/// >>> decoder.decode(["▁Hello", "▁world"]) -/// ' Hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Replace")] -pub struct PyReplaceDec {} -#[pymethods] -impl PyReplaceDec { - #[new] - #[pyo3(text_signature = "(self, pattern, content)")] - fn new(pattern: PyPattern, content: String) -> PyResult> { - Ok(PyClassInitializer::::from(PyDecoder::from( - ToPyResult(Replace::new(pattern, content)).into_py()?, - )) - .add_subclass(PyReplaceDec {})) - } -} - -/// WordPiece Decoder -/// -/// Args: -/// prefix (:obj:`str`, `optional`, defaults to :obj:`##`): -/// The prefix to use for subwords that are not a beginning-of-word -/// -/// cleanup (:obj:`bool`, `optional`, defaults to :obj:`True`): -/// Whether to cleanup some tokenization artifacts. Mainly spaces before punctuation, -/// and some abbreviated english forms. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import WordPiece -/// >>> decoder = WordPiece() -/// >>> decoder.decode(["Hello", ",", "##world", "!"]) -/// 'Hello, world!' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "WordPiece")] -pub struct PyWordPieceDec {} -#[pymethods] -impl PyWordPieceDec { - #[getter] - fn get_prefix(self_: PyRef) -> String { - getter!(self_, WordPiece, prefix.clone()) - } - - #[setter] - fn set_prefix(self_: PyRef, prefix: String) { - setter!(self_, WordPiece, prefix, prefix); - } - - #[getter] - fn get_cleanup(self_: PyRef) -> bool { - getter!(self_, WordPiece, cleanup) - } - - #[setter] - fn set_cleanup(self_: PyRef, cleanup: bool) { - setter!(self_, WordPiece, cleanup, cleanup); - } - - #[new] - #[pyo3(signature = (prefix = String::from("##"), cleanup = true), text_signature = "(self, prefix=\"##\", cleanup=True)")] - fn new(prefix: String, cleanup: bool) -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(WordPiece::new(prefix, cleanup))) - .add_subclass(PyWordPieceDec {}) - } -} - -/// ByteFallback Decoder -/// -/// ByteFallback is a decoder that handles tokens representing raw bytes in the -/// ``<0xNN>`` format (e.g., ``<0x61>`` for the byte ``0x61`` = ``'a'``). It converts -/// such tokens to their corresponding bytes and attempts to decode the resulting byte -/// sequence as UTF-8. This is used in LLaMA/SentencePiece models that use byte fallback -/// for unknown characters. Inconvertible byte tokens are replaced with the Unicode -/// replacement character (U+FFFD). -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import ByteFallback, Fuse, Sequence -/// >>> decoder = Sequence([ByteFallback(), Fuse()]) -/// >>> decoder.decode(["<0x48>", "<0x65>", "<0x6C>", "<0x6C>", "<0x6F>"]) -/// 'Hello' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "ByteFallback")] -pub struct PyByteFallbackDec {} -#[pymethods] -impl PyByteFallbackDec { - #[new] - #[pyo3(signature = (), text_signature = "(self)")] - fn new() -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(ByteFallback::new())) - .add_subclass(PyByteFallbackDec {}) - } -} - -/// Fuse Decoder -/// -/// Fuse simply concatenates every token into a single string without any separator. -/// This is typically the last step in a decoder chain when other decoders need to -/// operate on individual tokens before they are joined together. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import Fuse -/// >>> decoder = Fuse() -/// >>> decoder.decode(["Hello", ",", " ", "world", "!"]) -/// 'Hello, world!' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Fuse")] -pub struct PyFuseDec {} -#[pymethods] -impl PyFuseDec { - #[new] - #[pyo3(signature = (), text_signature = "(self)")] - fn new() -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(Fuse::new())) - .add_subclass(PyFuseDec {}) - } -} - -/// Strip Decoder -/// -/// Strips a given number of occurrences of a character from the left and/or right -/// side of each token. This is useful for removing padding characters or special -/// prefix/suffix markers added during tokenization. -/// -/// Args: -/// content (:obj:`str`, defaults to :obj:`" "`): -/// The character to strip from each token. -/// -/// left (:obj:`int`, defaults to :obj:`0`): -/// The number of occurrences of :obj:`content` to remove from the left -/// side of each token. -/// -/// right (:obj:`int`, defaults to :obj:`0`): -/// The number of occurrences of :obj:`content` to remove from the right -/// side of each token. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import Strip -/// >>> decoder = Strip(content="▁", left=1) -/// >>> decoder.decode(["▁Hello", "▁world"]) -/// 'Hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Strip")] -pub struct PyStrip {} -#[pymethods] -impl PyStrip { - #[getter] - fn get_start(self_: PyRef) -> usize { - getter!(self_, Strip, start) - } - - #[setter] - fn set_start(self_: PyRef, start: usize) { - setter!(self_, Strip, start, start) - } - - #[getter] - fn get_stop(self_: PyRef) -> usize { - getter!(self_, Strip, stop) - } - - #[setter] - fn set_stop(self_: PyRef, stop: usize) { - setter!(self_, Strip, stop, stop) - } - - #[getter] - fn get_content(self_: PyRef) -> char { - getter!(self_, Strip, content) - } - - #[setter] - fn set_content(self_: PyRef, content: char) { - setter!(self_, Strip, content, content) - } - - #[new] - #[pyo3( - signature = (content=' ', left=0, right=0), - text_signature = "(self, content=' ', left=0, right=0)" - )] - fn new(content: char, left: usize, right: usize) -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(Strip::new(content, left, right))) - .add_subclass(PyStrip {}) - } -} - -/// Metaspace Decoder -/// -/// Args: -/// replacement (:obj:`str`, `optional`, defaults to :obj:`▁`): -/// The replacement character. Must be exactly one character. By default we -/// use the `▁` (U+2581) meta symbol (Same as in SentencePiece). -/// -/// prepend_scheme (:obj:`str`, `optional`, defaults to :obj:`"always"`): -/// Whether to add a space to the first word if there isn't already one. This -/// lets us treat `hello` exactly like `say hello`. -/// Choices: "always", "never", "first". First means the space is only added on the first -/// token (relevant when special tokens are used or other pre_tokenizer are used). -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import Metaspace -/// >>> decoder = Metaspace() -/// >>> decoder.decode(["▁Hello", "▁my", "▁friend"]) -/// 'Hello my friend' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "Metaspace")] -pub struct PyMetaspaceDec {} -#[pymethods] -impl PyMetaspaceDec { - #[getter] - fn get_replacement(self_: PyRef) -> String { - getter!(self_, Metaspace, get_replacement().to_string()) - } - - #[setter] - fn set_replacement(self_: PyRef, replacement: char) { - setter!(self_, Metaspace, @set_replacement, replacement); - } - - #[getter] - fn get_split(self_: PyRef) -> bool { - getter!(self_, Metaspace, get_split()) - } - - #[setter] - fn set_split(self_: PyRef, split: bool) { - setter!(self_, Metaspace, @set_split, split); - } - - #[getter] - fn get_prepend_scheme(self_: PyRef) -> String { - // Assuming Metaspace has a method to get the prepend_scheme as a string - let scheme: PrependScheme = getter!(self_, Metaspace, get_prepend_scheme()); - match scheme { - PrependScheme::First => "first", - PrependScheme::Never => "never", - PrependScheme::Always => "always", - } - .to_string() - } - - #[setter] - fn set_prepend_scheme(self_: PyRef, prepend_scheme: String) -> PyResult<()> { - let scheme = from_string(prepend_scheme)?; - setter!(self_, Metaspace, @set_prepend_scheme, scheme); - Ok(()) - } - - #[new] - #[pyo3(signature = (replacement = '▁', prepend_scheme = String::from("always"), split = true), text_signature = "(self, replacement = \"▁\", prepend_scheme = \"always\", split = True)")] - fn new( - replacement: char, - prepend_scheme: String, - split: bool, - ) -> PyResult> { - let prepend_scheme = from_string(prepend_scheme)?; - Ok( - PyClassInitializer::::from(PyDecoder::from(Metaspace::new( - replacement, - prepend_scheme, - split, - ))) - .add_subclass(PyMetaspaceDec {}), - ) - } -} - -/// BPEDecoder Decoder -/// -/// Args: -/// suffix (:obj:`str`, `optional`, defaults to :obj:``): -/// The suffix that was used to characterize an end-of-word. This suffix will -/// be replaced by whitespaces during the decoding -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import BPEDecoder -/// >>> decoder = BPEDecoder() -/// >>> decoder.decode(["Hello", "world"]) -/// 'Hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "BPEDecoder")] -pub struct PyBPEDecoder {} -#[pymethods] -impl PyBPEDecoder { - #[getter] - fn get_suffix(self_: PyRef) -> String { - getter!(self_, BPE, suffix.clone()) - } - - #[setter] - fn set_suffix(self_: PyRef, suffix: String) { - setter!(self_, BPE, suffix, suffix); - } - - #[new] - #[pyo3(signature = (suffix = String::from("")), text_signature = "(self, suffix=\"\")")] - fn new(suffix: String) -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(BPEDecoder::new(suffix))) - .add_subclass(PyBPEDecoder {}) - } -} - -/// CTC Decoder -/// -/// Args: -/// pad_token (:obj:`str`, `optional`, defaults to :obj:``): -/// The pad token used by CTC to delimit a new token. -/// word_delimiter_token (:obj:`str`, `optional`, defaults to :obj:`|`): -/// The word delimiter token. It will be replaced by a -/// cleanup (:obj:`bool`, `optional`, defaults to :obj:`True`): -/// Whether to cleanup some tokenization artifacts. -/// Mainly spaces before punctuation, and some abbreviated english forms. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import CTC -/// >>> decoder = CTC() -/// >>> decoder.decode(["h", "e", "e", "", "l", "l", "o", "|", "w", "o", "r", "l", "d"]) -/// 'hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name = "CTC")] -pub struct PyCTCDecoder {} -#[pymethods] -impl PyCTCDecoder { - #[getter] - fn get_pad_token(self_: PyRef) -> String { - getter!(self_, CTC, pad_token.clone()) - } - - #[setter] - fn set_pad_token(self_: PyRef, pad_token: String) { - setter!(self_, CTC, pad_token, pad_token); - } - - #[getter] - fn get_word_delimiter_token(self_: PyRef) -> String { - getter!(self_, CTC, word_delimiter_token.clone()) - } - - #[setter] - fn set_word_delimiter_token(self_: PyRef, word_delimiter_token: String) { - setter!(self_, CTC, word_delimiter_token, word_delimiter_token); - } - - #[getter] - fn get_cleanup(self_: PyRef) -> bool { - getter!(self_, CTC, cleanup) - } - - #[setter] - fn set_cleanup(self_: PyRef, cleanup: bool) { - setter!(self_, CTC, cleanup, cleanup); - } - - #[new] - #[pyo3(signature = ( - pad_token = String::from(""), - word_delimiter_token = String::from("|"), - cleanup = true - ), - text_signature = "(self, pad_token=\"\", word_delimiter_token=\"|\", cleanup=True)")] - fn new( - pad_token: String, - word_delimiter_token: String, - cleanup: bool, - ) -> PyClassInitializer { - PyClassInitializer::::from(PyDecoder::from(CTC::new( - pad_token, - word_delimiter_token, - cleanup, - ))) - .add_subclass(PyCTCDecoder {}) - } -} - -/// Sequence Decoder -/// -/// Chains multiple decoders together, applying them in order. Each decoder in the -/// sequence processes the output of the previous one, allowing complex decoding -/// pipelines to be built from simpler components. -/// -/// Args: -/// decoders (:obj:`List[Decoder]`): -/// The list of decoders to chain together. -/// -/// Example:: -/// -/// >>> from tokenizers.decoders import ByteFallback, Fuse, Metaspace, Sequence -/// >>> decoder = Sequence([ByteFallback(), Fuse(), Metaspace()]) -/// >>> decoder.decode(["▁Hello", "▁world"]) -/// 'Hello world' -/// -#[pyclass(extends=PyDecoder, module = "tokenizers.decoders", name="Sequence")] -pub struct PySequenceDecoder {} -#[pymethods] -impl PySequenceDecoder { - #[new] - #[pyo3(signature = (decoders_py), text_signature = "(self, decoders)")] - fn new(decoders_py: &Bound<'_, PyList>) -> PyResult> { - let mut decoders: Vec = Vec::with_capacity(decoders_py.len()); - for decoder_py in decoders_py.iter() { - let decoder: PyRef = decoder_py.extract()?; - let decoder = match &decoder.decoder { - PyDecoderWrapper::Wrapped(inner) => inner, - PyDecoderWrapper::Custom(_) => unimplemented!(), - }; - decoders.push(decoder.read().unwrap().clone()); - } - Ok( - PyClassInitializer::::from(PyDecoder::from(Sequence::new(decoders))) - .add_subclass(PySequenceDecoder {}), - ) - } - - fn __getnewargs__<'p>(&self, py: Python<'p>) -> PyResult> { - PyTuple::new(py, [PyList::empty(py)]) - } -} - -pub(crate) struct CustomDecoder { - inner: Py, -} - -impl CustomDecoder { - pub(crate) fn new(inner: Py) -> Self { - CustomDecoder { inner } - } -} - -impl Decoder for CustomDecoder { - fn decode(&self, tokens: Vec) -> tk::Result { - Python::attach(|py| { - let decoded = self - .inner - .call_method(py, "decode", (tokens,), None)? - .extract(py)?; - Ok(decoded) - }) - } - - fn decode_chain(&self, tokens: Vec) -> tk::Result> { - Python::attach(|py| { - let decoded = self - .inner - .call_method(py, "decode_chain", (tokens,), None)? - .extract(py)?; - Ok(decoded) - }) - } -} - -impl Serialize for CustomDecoder { - fn serialize(&self, _serializer: S) -> std::result::Result - where - S: Serializer, - { - Err(serde::ser::Error::custom( - "Custom PyDecoder cannot be serialized", - )) - } -} - -impl<'de> Deserialize<'de> for CustomDecoder { - fn deserialize(_deserializer: D) -> std::result::Result - where - D: Deserializer<'de>, - { - Err(D::Error::custom("PyDecoder cannot be deserialized")) - } -} - -#[derive(Clone, Deserialize, Serialize)] -#[serde(untagged)] -pub(crate) enum PyDecoderWrapper { - Custom(Arc>), - Wrapped(Arc>), -} - -impl From for PyDecoderWrapper -where - I: Into, -{ - fn from(norm: I) -> Self { - PyDecoderWrapper::Wrapped(Arc::new(RwLock::new(norm.into()))) - } -} - -impl From for PyDecoder -where - I: Into, -{ - fn from(dec: I) -> Self { - PyDecoder { - decoder: dec.into().into(), - } - } -} - -impl Decoder for PyDecoderWrapper { - fn decode_chain(&self, tokens: Vec) -> tk::Result> { - match self { - PyDecoderWrapper::Wrapped(inner) => inner.read().unwrap().decode_chain(tokens), - PyDecoderWrapper::Custom(inner) => inner.read().unwrap().decode_chain(tokens), - } - } -} - -/// Decoders Module -#[pymodule(gil_used = false)] -pub mod decoders { - #[pymodule_export] - pub use super::PyBPEDecoder; - #[pymodule_export] - pub use super::PyByteFallbackDec; - #[pymodule_export] - pub use super::PyByteLevelDec; - #[pymodule_export] - pub use super::PyCTCDecoder; - #[pymodule_export] - pub use super::PyDecodeStream; - #[pymodule_export] - pub use super::PyDecoder; - #[pymodule_export] - pub use super::PyFuseDec; - #[pymodule_export] - pub use super::PyMetaspaceDec; - #[pymodule_export] - pub use super::PyReplaceDec; - #[pymodule_export] - pub use super::PySequenceDecoder; - #[pymodule_export] - pub use super::PyStrip; - #[pymodule_export] - pub use super::PyWordPieceDec; -} - -/// Provides incremental decoding of token IDs as they are generated, yielding -/// decoded text chunks as soon as they are available. -/// -/// Unlike batch decoding, streaming decode is designed for use with autoregressive -/// generation — tokens arrive one at a time and the decoder needs to handle -/// multi-byte sequences (e.g., UTF-8 characters split across token boundaries) and -/// byte-fallback tokens gracefully. -/// -/// The decoder internally buffers tokens until it can produce a valid UTF-8 string -/// chunk, then yields that chunk and advances its internal state. This means -/// individual calls to :meth:`~tokenizers.decoders.DecodeStream.step` may return -/// :obj:`None` when the current token completes a partial sequence that cannot yet -/// be decoded. -/// -/// Args: -/// skip_special_tokens (:obj:`bool`, defaults to :obj:`False`): -/// Whether to skip special tokens (e.g. ``[CLS]``, ``[SEP]``, ````) when -/// decoding. -/// -/// Example:: -/// -/// >>> from tokenizers import Tokenizer -/// >>> from tokenizers.decoders import DecodeStream -/// >>> tokenizer = Tokenizer.from_pretrained("gpt2") -/// >>> stream = DecodeStream(skip_special_tokens=True) -/// >>> # Simulate streaming token-by-token generation -/// >>> token_ids = tokenizer.encode("Hello, streaming world!").ids -/// >>> for token_id in token_ids: -/// ... chunk = stream.step(tokenizer, token_id) -/// ... if chunk is not None: -/// ... print(chunk, end="", flush=True) -/// -#[pyclass(module = "tokenizers.decoders", name = "DecodeStream", from_py_object)] -#[derive(Clone)] -pub struct PyDecodeStream { - /// Regular decode option that is kept throughout. - skip_special_tokens: bool, - /// A temporary buffer of the necessary token_ids needed - /// to produce valid string chunks. - /// This typically contains 3 parts: - /// - read - /// - prefix - /// - rest - /// - /// Read is the bit necessary to surround the prefix - /// so decoding the whole ids produces a valid prefix. - /// Prefix is the previously produced string, kept around to trim off of - /// the next valid chunk - ids: Vec, - /// The previously returned chunk that needs to be discarded from the - /// decoding of the current ids to produce the next chunk - prefix: String, - /// The index within the ids corresponding to the prefix so we can drain - /// correctly - prefix_index: usize, -} - -#[derive(Clone)] -enum StreamInput { - Id(u32), - Ids(Vec), -} - -impl<'a, 'py> FromPyObject<'a, 'py> for StreamInput { - type Error = PyErr; - - fn extract(obj: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(id) = obj.extract::() { - Ok(StreamInput::Id(id)) - } else if let Ok(ids) = obj.extract::>() { - Ok(StreamInput::Ids(ids)) - } else { - Err(PyErr::new::( - "StreamInput must be either an integer or a list of integers", - )) - } - } -} - -#[pymethods] -impl PyDecodeStream { - #[new] - #[pyo3(signature = (ids=None, skip_special_tokens=false), text_signature = "(self, ids=None, skip_special_tokens=False)")] - fn new(ids: Option>, skip_special_tokens: Option) -> Self { - PyDecodeStream { - skip_special_tokens: skip_special_tokens.unwrap_or(false), - ids: ids.unwrap_or_default(), - prefix: String::new(), - prefix_index: 0, - } - } - - /// Add the next token ID (or list of IDs) to the stream and return the next - /// decoded text chunk if one is available. - /// - /// Because some characters span multiple tokens (e.g. multi-byte UTF-8 - /// sequences or byte-fallback tokens), this method may return :obj:`None` - /// when the provided token does not yet complete a decodable unit. Callers - /// should simply continue feeding tokens until a non-:obj:`None` value is - /// returned. - /// - /// Args: - /// tokenizer (:class:`~tokenizers.Tokenizer`): - /// The tokenizer whose decoder pipeline will be used. - /// - /// id (:obj:`int` or :obj:`List[int]`): - /// The next token ID, or a list of token IDs to append to the stream. - /// - /// Returns: - /// :obj:`Optional[str]`: The next decoded text chunk if enough tokens have - /// accumulated, or :obj:`None` if more tokens are still needed. - #[pyo3(signature = (tokenizer, id), text_signature = "(self, tokenizer, id)")] - fn step(&mut self, tokenizer: &PyTokenizer, id: StreamInput) -> PyResult> { - let id: Vec = match id { - StreamInput::Id(id) => vec![id], - StreamInput::Ids(ids) => ids, - }; - let tokenizer_guard = tokenizer.read_inner()?; - ToPyResult(tk::tokenizer::step_decode_stream( - &tokenizer_guard, - id, - self.skip_special_tokens, - &mut self.ids, - &mut self.prefix, - &mut self.prefix_index, - )) - .into() - } - fn __copy__(&self) -> Self { - self.clone() - } - - fn __deepcopy__(&self, _memo: &Bound<'_, PyDict>) -> Self { - self.clone() - } -} - -#[cfg(test)] -mod test { - use std::sync::{Arc, RwLock}; - - use pyo3::prelude::*; - use tk::decoders::metaspace::Metaspace; - use tk::decoders::DecoderWrapper; - - use crate::decoders::{CustomDecoder, PyDecoder, PyDecoderWrapper}; - - #[test] - fn get_subtype() { - Python::attach(|py| { - let py_dec = PyDecoder::new(Metaspace::default().into()); - let py_meta = py_dec.get_as_subtype(py).unwrap(); - assert_eq!("Metaspace", py_meta.bind(py).get_type().qualname().unwrap()); - }) - } - - #[test] - fn serialize() { - let py_wrapped: PyDecoderWrapper = Metaspace::default().into(); - let py_ser = serde_json::to_string(&py_wrapped).unwrap(); - let rs_wrapped = DecoderWrapper::Metaspace(Metaspace::default()); - let rs_ser = serde_json::to_string(&rs_wrapped).unwrap(); - assert_eq!(py_ser, rs_ser); - let py_dec: PyDecoder = serde_json::from_str(&rs_ser).unwrap(); - match py_dec.decoder { - PyDecoderWrapper::Wrapped(msp) => match *msp.as_ref().read().unwrap() { - DecoderWrapper::Metaspace(_) => {} - _ => panic!("Expected Metaspace"), - }, - _ => panic!("Expected wrapped, not custom."), - } - - let obj = Python::attach(|py| { - let py_msp = PyDecoder::new(Metaspace::default().into()); - Py::new(py, py_msp).unwrap().into_any() - }); - let py_seq = PyDecoderWrapper::Custom(Arc::new(RwLock::new(CustomDecoder::new(obj)))); - assert!(serde_json::to_string(&py_seq).is_err()); - } -} diff --git a/bindings/python/src/encoding.rs b/bindings/python/src/encoding.rs deleted file mode 100644 index 3683c0b718..0000000000 --- a/bindings/python/src/encoding.rs +++ /dev/null @@ -1,473 +0,0 @@ -use pyo3::exceptions; -use pyo3::prelude::*; -use pyo3::types::*; -use tk::tokenizer::{Offsets, PaddingDirection}; -use tk::utils::truncation::TruncationDirection; -use tokenizers as tk; - -use crate::error::{deprecation_warning, PyError}; - -/// The :class:`~tokenizers.Encoding` represents the output of a :class:`~tokenizers.Tokenizer`. -/// -/// It holds all the information about the tokenized input, including the token IDs, -/// token strings, attention masks, offsets, and more. This is the main data structure -/// returned by :meth:`~tokenizers.Tokenizer.encode` and -/// :meth:`~tokenizers.Tokenizer.encode_batch`. -/// -/// Example:: -/// -/// >>> from tokenizers import Tokenizer -/// >>> tokenizer = Tokenizer.from_pretrained("bert-base-uncased") -/// >>> encoding = tokenizer.encode("Hello, world!") -/// >>> encoding.ids -/// [101, 7592, 1010, 2088, 999, 102] -/// >>> encoding.tokens -/// ['[CLS]', 'hello', ',', 'world', '!', '[SEP]'] -/// >>> encoding.offsets -/// [(0, 0), (0, 5), (5, 6), (7, 12), (12, 13), (0, 0)] -/// -#[pyclass(dict, module = "tokenizers", name = "Encoding")] -#[repr(transparent)] -pub struct PyEncoding { - pub encoding: tk::tokenizer::Encoding, -} - -impl From for PyEncoding { - fn from(v: tk::tokenizer::Encoding) -> Self { - Self { encoding: v } - } -} - -#[pymethods] -impl PyEncoding { - #[new] - #[pyo3(signature = (), text_signature = "(self)")] - fn new() -> Self { - Self { - encoding: tk::tokenizer::Encoding::default(), - } - } - - fn __getstate__(&self, py: Python) -> PyResult> { - let data = serde_json::to_string(&self.encoding).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to pickle Encoding: {e}" - )) - })?; - Ok(PyBytes::new(py, data.as_bytes()).into()) - } - - fn __setstate__(&mut self, py: Python, state: Py) -> PyResult<()> { - match state.extract::<&[u8]>(py) { - Ok(s) => { - self.encoding = serde_json::from_slice(s).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to unpickle Encoding: {e}" - )) - })?; - Ok(()) - } - Err(e) => Err(e.into()), - } - } - - fn __repr__(&self) -> PyResult { - Ok(format!( - "Encoding(num_tokens={}, attributes=[ids, type_ids, tokens, offsets, \ - attention_mask, special_tokens_mask, overflowing])", - self.encoding.get_ids().len() - )) - } - - fn __len__(&self) -> PyResult { - Ok(self.encoding.len()) - } - - /// Merge the list of encodings into one final :class:`~tokenizers.Encoding` - /// - /// Args: - /// encodings (A :obj:`List` of :class:`~tokenizers.Encoding`): - /// The list of encodings that should be merged in one - /// - /// growing_offsets (:obj:`bool`, defaults to :obj:`True`): - /// Whether the offsets should accumulate while merging - /// - /// Returns: - /// :class:`~tokenizers.Encoding`: The resulting Encoding - #[staticmethod] - #[pyo3(signature = (encodings, growing_offsets = true) -> "Encoding")] - #[pyo3(text_signature = "(encodings, growing_offsets=True)")] - fn merge(encodings: Vec>, growing_offsets: bool) -> PyEncoding { - tk::tokenizer::Encoding::merge( - encodings.into_iter().map(|e| e.encoding.clone()), - growing_offsets, - ) - .into() - } - - /// The number of sequences represented - /// - /// Returns: - /// :obj:`int`: The number of sequences in this :class:`~tokenizers.Encoding` - #[getter] - fn get_n_sequences(&self) -> usize { - self.encoding.n_sequences() - } - - /// Set the given sequence index - /// - /// Set the given sequence index for the whole range of tokens contained in this - /// :class:`~tokenizers.Encoding`. - #[pyo3(text_signature = "(self, sequence_id)")] - fn set_sequence_id(&mut self, sequence_id: usize) { - self.encoding.set_sequence_id(sequence_id); - } - - /// The generated IDs - /// - /// The IDs are the main input to a Language Model. They are the token indices, - /// the numerical representations that a LM understands. - /// - /// Returns: - /// :obj:`List[int]`: The list of IDs - #[getter] - fn get_ids(&self) -> Vec { - self.encoding.get_ids().to_vec() - } - - /// The generated tokens - /// - /// They are the string representation of the IDs. - /// - /// Returns: - /// :obj:`List[str]`: The list of tokens - #[getter] - fn get_tokens(&self) -> Vec { - self.encoding.get_tokens().to_vec() - } - - /// The generated word indices. - /// - /// .. warning:: - /// This is deprecated and will be removed in a future version. - /// Please use :obj:`~tokenizers.Encoding.word_ids` instead. - /// - /// They represent the index of the word associated to each token. - /// When the input is pre-tokenized, they correspond to the ID of the given input label, - /// otherwise they correspond to the words indices as defined by the - /// :class:`~tokenizers.pre_tokenizers.PreTokenizer` that was used. - /// - /// For special tokens and such (any token that was generated from something that was - /// not part of the input), the output is :obj:`None` - /// - /// Returns: - /// A :obj:`List` of :obj:`Optional[int]`: A list of optional word index. - #[getter] - fn get_words(&self, py: Python<'_>) -> PyResult>> { - deprecation_warning( - py, - "0.9.4", - "Encoding.words is deprecated, please use Encoding.word_ids instead.", - )?; - Ok(self.get_word_ids()) - } - - /// The generated word indices. - /// - /// They represent the index of the word associated to each token. - /// When the input is pre-tokenized, they correspond to the ID of the given input label, - /// otherwise they correspond to the words indices as defined by the - /// :class:`~tokenizers.pre_tokenizers.PreTokenizer` that was used. - /// - /// For special tokens and such (any token that was generated from something that was - /// not part of the input), the output is :obj:`None` - /// - /// Returns: - /// A :obj:`List` of :obj:`Optional[int]`: A list of optional word index. - #[getter] - fn get_word_ids(&self) -> Vec> { - self.encoding.get_word_ids().to_vec() - } - - /// The generated sequence indices. - /// - /// They represent the index of the input sequence associated to each token. - /// The sequence id can be None if the token is not related to any input sequence, - /// like for example with special tokens. - /// - /// Returns: - /// A :obj:`List` of :obj:`Optional[int]`: A list of optional sequence index. - #[getter] - fn get_sequence_ids(&self) -> Vec> { - self.encoding.get_sequence_ids() - } - - /// The generated type IDs - /// - /// Generally used for tasks like sequence classification or question answering, - /// these tokens let the LM know which input sequence corresponds to each tokens. - /// - /// Returns: - /// :obj:`List[int]`: The list of type ids - #[getter] - fn get_type_ids(&self) -> Vec { - self.encoding.get_type_ids().to_vec() - } - - /// The offsets associated to each token - /// - /// These offsets let's you slice the input string, and thus retrieve the original - /// part that led to producing the corresponding token. - /// - /// Returns: - /// A :obj:`List` of :obj:`Tuple[int, int]`: The list of offsets - #[getter] - fn get_offsets(&self) -> Vec<(usize, usize)> { - self.encoding.get_offsets().to_vec() - } - - /// The special token mask - /// - /// This indicates which tokens are special tokens, and which are not. - /// - /// Returns: - /// :obj:`List[int]`: The special tokens mask - #[getter] - fn get_special_tokens_mask(&self) -> Vec { - self.encoding.get_special_tokens_mask().to_vec() - } - - /// The attention mask - /// - /// This indicates to the LM which tokens should be attended to, and which should not. - /// This is especially important when batching sequences, where we need to applying - /// padding. - /// - /// Returns: - /// :obj:`List[int]`: The attention mask - #[getter] - fn get_attention_mask(&self) -> Vec { - self.encoding.get_attention_mask().to_vec() - } - - /// A :obj:`List` of overflowing :class:`~tokenizers.Encoding` - /// - /// When using truncation, the :class:`~tokenizers.Tokenizer` takes care of splitting - /// the output into as many pieces as required to match the specified maximum length. - /// This field lets you retrieve all the subsequent pieces. - /// - /// When you use pairs of sequences, the overflowing pieces will contain enough - /// variations to cover all the possible combinations, while respecting the provided - /// maximum length. - #[getter] - fn get_overflowing(&self) -> Vec { - self.encoding - .get_overflowing() - .clone() - .into_iter() - .map(|e| e.into()) - .collect() - } - - /// Get the encoded tokens corresponding to the word at the given index - /// in one of the input sequences. - /// - /// Args: - /// word_index (:obj:`int`): - /// The index of a word in one of the input sequences. - /// sequence_index (:obj:`int`, defaults to :obj:`0`): - /// The index of the sequence that contains the target word - /// - /// Returns: - /// :obj:`Tuple[int, int]`: The range of tokens: :obj:`(first, last + 1)` - #[pyo3(signature = (word_index, sequence_index = 0))] - #[pyo3(text_signature = "(self, word_index, sequence_index=0)")] - fn word_to_tokens(&self, word_index: u32, sequence_index: usize) -> Option<(usize, usize)> { - self.encoding.word_to_tokens(word_index, sequence_index) - } - - /// Get the offsets of the word at the given index in one of the input sequences. - /// - /// Args: - /// word_index (:obj:`int`): - /// The index of a word in one of the input sequences. - /// sequence_index (:obj:`int`, defaults to :obj:`0`): - /// The index of the sequence that contains the target word - /// - /// Returns: - /// :obj:`Tuple[int, int]`: The range of characters (span) :obj:`(first, last + 1)` - #[pyo3(signature = (word_index, sequence_index = 0))] - #[pyo3(text_signature = "(self, word_index, sequence_index=0)")] - fn word_to_chars(&self, word_index: u32, sequence_index: usize) -> Option { - self.encoding.word_to_chars(word_index, sequence_index) - } - - /// Get the index of the sequence represented by the given token. - /// - /// In the general use case, this method returns :obj:`0` for a single sequence or - /// the first sequence of a pair, and :obj:`1` for the second sequence of a pair - /// - /// Args: - /// token_index (:obj:`int`): - /// The index of a token in the encoded sequence. - /// - /// Returns: - /// :obj:`int`: The sequence id of the given token - #[pyo3(text_signature = "(self, token_index)")] - fn token_to_sequence(&self, token_index: usize) -> Option { - self.encoding.token_to_sequence(token_index) - } - - /// Get the offsets of the token at the given index. - /// - /// The returned offsets are related to the input sequence that contains the - /// token. In order to determine in which input sequence it belongs, you - /// must call :meth:`~tokenizers.Encoding.token_to_sequence()`. - /// - /// Args: - /// token_index (:obj:`int`): - /// The index of a token in the encoded sequence. - /// - /// Returns: - /// :obj:`Tuple[int, int]`: The token offsets :obj:`(first, last + 1)` - #[pyo3(text_signature = "(self, token_index)")] - fn token_to_chars(&self, token_index: usize) -> Option { - let (_, offsets) = self.encoding.token_to_chars(token_index)?; - Some(offsets) - } - - /// Get the index of the word that contains the token in one of the input sequences. - /// - /// The returned word index is related to the input sequence that contains - /// the token. In order to determine in which input sequence it belongs, you - /// must call :meth:`~tokenizers.Encoding.token_to_sequence()`. - /// - /// Args: - /// token_index (:obj:`int`): - /// The index of a token in the encoded sequence. - /// - /// Returns: - /// :obj:`int`: The index of the word in the relevant input sequence. - #[pyo3(text_signature = "(self, token_index)")] - fn token_to_word(&self, token_index: usize) -> Option { - let (_, word_idx) = self.encoding.token_to_word(token_index)?; - Some(word_idx) - } - - /// Get the token that contains the char at the given position in the input sequence. - /// - /// Args: - /// char_pos (:obj:`int`): - /// The position of a char in the input string - /// sequence_index (:obj:`int`, defaults to :obj:`0`): - /// The index of the sequence that contains the target char - /// - /// Returns: - /// :obj:`int`: The index of the token that contains this char in the encoded sequence - #[pyo3(signature = (char_pos, sequence_index = 0))] - #[pyo3(text_signature = "(self, char_pos, sequence_index=0)")] - fn char_to_token(&self, char_pos: usize, sequence_index: usize) -> Option { - self.encoding.char_to_token(char_pos, sequence_index) - } - - /// Get the word that contains the char at the given position in the input sequence. - /// - /// Args: - /// char_pos (:obj:`int`): - /// The position of a char in the input string - /// sequence_index (:obj:`int`, defaults to :obj:`0`): - /// The index of the sequence that contains the target char - /// - /// Returns: - /// :obj:`int`: The index of the word that contains this char in the input sequence - #[pyo3(signature = (char_pos, sequence_index = 0))] - #[pyo3(text_signature = "(self, char_pos, sequence_index=0)")] - fn char_to_word(&self, char_pos: usize, sequence_index: usize) -> Option { - self.encoding.char_to_word(char_pos, sequence_index) - } - - /// Pad the :class:`~tokenizers.Encoding` at the given length - /// - /// Args: - /// length (:obj:`int`): - /// The desired length - /// - /// direction: (:obj:`str`, defaults to :obj:`right`): - /// The expected padding direction. Can be either :obj:`right` or :obj:`left` - /// - /// pad_id (:obj:`int`, defaults to :obj:`0`): - /// The ID corresponding to the padding token - /// - /// pad_type_id (:obj:`int`, defaults to :obj:`0`): - /// The type ID corresponding to the padding token - /// - /// pad_token (:obj:`str`, defaults to `[PAD]`): - /// The pad token to use - #[pyo3(signature = (length, **kwargs) -> "None")] - #[pyo3( - text_signature = "(self, length, direction='right', pad_id=0, pad_type_id=0, pad_token='[PAD]')" - )] - fn pad(&mut self, length: usize, kwargs: Option<&Bound<'_, PyDict>>) -> PyResult<()> { - let mut pad_id = 0; - let mut pad_type_id = 0; - let mut pad_token = "[PAD]".to_string(); - let mut direction = PaddingDirection::Right; - - if let Some(kwargs) = kwargs { - for (key, value) in kwargs { - let key: String = key.extract()?; - match key.as_ref() { - "direction" => { - let value: String = value.extract()?; - direction = match value.as_ref() { - "left" => Ok(PaddingDirection::Left), - "right" => Ok(PaddingDirection::Right), - other => Err(PyError(format!( - "Unknown `direction`: `{other}`. Use \ - one of `left` or `right`" - )) - .into_pyerr::()), - }?; - } - "pad_id" => pad_id = value.extract()?, - "pad_type_id" => pad_type_id = value.extract()?, - "pad_token" => pad_token = value.extract()?, - _ => println!("Ignored unknown kwarg option {key}"), - } - } - } - self.encoding - .pad(length, pad_id, pad_type_id, &pad_token, direction); - Ok(()) - } - - /// Truncate the :class:`~tokenizers.Encoding` at the given length - /// - /// If this :class:`~tokenizers.Encoding` represents multiple sequences, when truncating - /// this information is lost. It will be considered as representing a single sequence. - /// - /// Args: - /// max_length (:obj:`int`): - /// The desired length - /// - /// stride (:obj:`int`, defaults to :obj:`0`): - /// The length of previous content to be included in each overflowing piece - /// - /// direction (:obj:`str`, defaults to :obj:`right`): - /// Truncate direction - #[pyo3(signature = (max_length, stride = 0, direction = "right") -> "None")] - #[pyo3(text_signature = "(self, max_length, stride=0, direction='right')")] - fn truncate(&mut self, max_length: usize, stride: usize, direction: &str) -> PyResult<()> { - let tdir = match direction { - "left" => Ok(TruncationDirection::Left), - "right" => Ok(TruncationDirection::Right), - _ => Err( - PyError(format!("Invalid truncation direction value : {direction}")) - .into_pyerr::(), - ), - }?; - - self.encoding.truncate(max_length, stride, tdir); - Ok(()) - } -} diff --git a/bindings/python/src/lib.rs b/bindings/python/src/lib.rs index b670e95c23..337ea661fb 100644 --- a/bindings/python/src/lib.rs +++ b/bindings/python/src/lib.rs @@ -18,13 +18,10 @@ static TOKIO_RUNTIME: Lazy> = Lazy::new(|| { .expect("Failed to create global Tokio runtime"); Arc::new(rt) }); -mod decoders; -mod encoding; mod error; mod models; mod normalizers; mod pre_tokenizers; -mod processors; mod token; mod tokenizer; mod trainers; @@ -51,8 +48,6 @@ extern "C" fn child_after_fork() { pub mod tokenizers { use super::*; - #[pymodule_export] - pub use super::encoding::PyEncoding; #[pymodule_export] pub use super::token::PyToken; #[pymodule_export] @@ -62,12 +57,8 @@ pub mod tokenizers { #[pymodule_export] pub use super::utils::PyNormalizedString; #[pymodule_export] - pub use super::utils::PyPreTokenizedString; - #[pymodule_export] pub use super::utils::PyRegex; - #[pymodule_export] - pub use super::decoders::decoders; #[pymodule_export] pub use super::models::models; #[pymodule_export] @@ -75,8 +66,6 @@ pub mod tokenizers { #[pymodule_export] pub use super::pre_tokenizers::pre_tokenizers; #[pymodule_export] - pub use super::processors::processors; - #[pymodule_export] pub use super::trainers::trainers; #[allow(non_upper_case_globals)] diff --git a/bindings/python/src/models.rs b/bindings/python/src/models.rs index 77d1d54ba8..aeacce1029 100644 --- a/bindings/python/src/models.rs +++ b/bindings/python/src/models.rs @@ -14,7 +14,6 @@ use tk::models::unigram::Unigram; use tk::models::wordlevel::WordLevel; use tk::models::wordpiece::{WordPiece, WordPieceBuilder}; use tk::models::ModelWrapper; -use tk::tokenizer::PreTokenizedString; use tk::{Model, Token, Trainable}; use tokenizers as tk; @@ -50,23 +49,6 @@ impl Model for PyModel { self.model.read().unwrap().tokenize(tokens) } - /// See [`Model::tokenize_in_pretokenized`] for the lock-once rationale. - fn tokenize_in_pretokenized( - &self, - pretokenized: &mut PreTokenizedString, - truncation: Option<(usize, tk::TruncationDirection)>, - ) -> tk::Result<()> { - let guard = self.model.read().unwrap(); - match truncation { - Some((max_tokens, direction)) => pretokenized.tokenize_with_limit( - |normalized| guard.tokenize(normalized.get()), - max_tokens, - direction, - ), - None => pretokenized.tokenize(|normalized| guard.tokenize(normalized.get())), - } - } - fn token_to_id(&self, token: &str) -> Option { self.model.read().unwrap().token_to_id(token) } diff --git a/bindings/python/src/pre_tokenizers.rs b/bindings/python/src/pre_tokenizers.rs index a67af7bcf9..558ef506f8 100644 --- a/bindings/python/src/pre_tokenizers.rs +++ b/bindings/python/src/pre_tokenizers.rs @@ -147,23 +147,6 @@ impl PyPreTokenizer { } } - /// Pre-tokenize a :class:`~tokenizers.PyPreTokenizedString` in-place - /// - /// This method allows to modify a :class:`~tokenizers.PreTokenizedString` to - /// keep track of the pre-tokenization, and leverage the capabilities of the - /// :class:`~tokenizers.PreTokenizedString`. If you just want to see the result of - /// the pre-tokenization of a raw string, you can use - /// :meth:`~tokenizers.pre_tokenizers.PreTokenizer.pre_tokenize_str` - /// - /// Args: - /// pretok (:class:`~tokenizers.PreTokenizedString): - /// The pre-tokenized string on which to apply this - /// :class:`~tokenizers.pre_tokenizers.PreTokenizer` - #[pyo3(text_signature = "(self, pretok)")] - fn pre_tokenize(&self, pretok: &mut PyPreTokenizedString) -> PyResult<()> { - ToPyResult(self.pretok.pre_tokenize(&mut pretok.pretok)).into() - } - /// Pre tokenize the given string /// /// This method provides a way to visualize the effect of a @@ -900,13 +883,10 @@ impl CustomPreTokenizer { } impl tk::tokenizer::PreTokenizer for CustomPreTokenizer { - fn pre_tokenize(&self, sentence: &mut PreTokenizedString) -> tk::Result<()> { - Python::attach(|py| { - let pretok = PyPreTokenizedStringRefMut::new(sentence); - let py_pretok = self.inner.bind(py); - py_pretok.call_method("pre_tokenize", (pretok.get().clone(),), None)?; - Ok(()) - }) + fn pre_tokenize(&self, _sentence: &mut PreTokenizedString) -> tk::Result<()> { + // ponytail: custom Python pre-tokenizers relied on PyPreTokenizedStringRefMut, which was + // part of the removed offset/encoding machinery. The pipeline-only build can't drive them. + Err("custom Python PreTokenizers are not supported in this pipeline-only build".into()) } } diff --git a/bindings/python/src/processors.rs b/bindings/python/src/processors.rs deleted file mode 100644 index e7cf13cb1e..0000000000 --- a/bindings/python/src/processors.rs +++ /dev/null @@ -1,933 +0,0 @@ -use std::convert::TryInto; -use std::sync::Arc; -use std::sync::RwLock; - -use crate::encoding::PyEncoding; -use crate::error::ToPyResult; -use pyo3::exceptions; -use pyo3::exceptions::PyException; -use pyo3::prelude::*; -use pyo3::types::*; -use pyo3::IntoPyObjectExt; -use serde::ser::SerializeStruct; -use serde::Deserializer; -use serde::Serializer; -use serde::{Deserialize, Serialize}; -use tk::processors::bert::BertProcessing; -use tk::processors::byte_level::ByteLevel; -use tk::processors::roberta::RobertaProcessing; -use tk::processors::template::{SpecialToken, Template}; -use tk::processors::PostProcessorWrapper; -use tk::{Encoding, PostProcessor}; -use tokenizers as tk; - -/// Base class for all post-processors -/// -/// This class is not supposed to be instantiated directly. Instead, any implementation of -/// a PostProcessor will return an instance of this class when instantiated. -#[pyclass( - dict, - module = "tokenizers.processors", - name = "PostProcessor", - subclass, - from_py_object -)] -#[derive(Clone, Deserialize, Serialize)] -#[serde(transparent)] -pub struct PyPostProcessor { - processor: PyPostProcessorTypeWrapper, -} - -impl From for PyPostProcessor -where - I: Into, -{ - fn from(processor: I) -> Self { - PyPostProcessor { - processor: processor.into().into(), - } - } -} - -impl PyPostProcessor { - pub(crate) fn new(processor: PyPostProcessorTypeWrapper) -> Self { - PyPostProcessor { processor } - } - - pub(crate) fn get_as_subtype(&self, py: Python<'_>) -> PyResult> { - let base = self.clone(); - Ok( - match self.processor { - PyPostProcessorTypeWrapper::Sequence(_) => Py::new(py, (PySequence {}, base))?.into_any(), - PyPostProcessorTypeWrapper::Single(ref inner) => { - - match &*inner.read().map_err(|_| { - PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor") - })? { - PostProcessorWrapper::ByteLevel(_) => Py::new(py, (PyByteLevel {}, base))? - .into_any(), - PostProcessorWrapper::Bert(_) => Py::new(py, (PyBertProcessing {}, base))? - .into_any(), - PostProcessorWrapper::Roberta(_) => Py::new(py, (PyRobertaProcessing {}, base))? - .into_any(), - PostProcessorWrapper::Template(_) => Py::new(py, (PyTemplateProcessing {}, base))? - .into_any(), - PostProcessorWrapper::Sequence(_) => Py::new(py, (PySequence {}, base))? - .into_any(), - } - } - } - ) - } -} - -impl PostProcessor for PyPostProcessor { - // TODO: update signature to `tk::Result` - fn added_tokens(&self, is_pair: bool) -> usize { - self.processor.added_tokens(is_pair) - } - - fn process_encodings( - &self, - encodings: Vec, - add_special_tokens: bool, - ) -> tk::Result> { - self.processor - .process_encodings(encodings, add_special_tokens) - } -} - -#[pymethods] -impl PyPostProcessor { - fn __getstate__(&self, py: Python) -> PyResult> { - let data = serde_json::to_string(&self.processor).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to pickle PostProcessor: {e}" - )) - })?; - Ok(PyBytes::new(py, data.as_bytes()).into()) - } - - fn __setstate__(&mut self, py: Python, state: Py) -> PyResult<()> { - match state.extract::<&[u8]>(py) { - Ok(s) => { - self.processor = serde_json::from_slice(s).map_err(|e| { - exceptions::PyException::new_err(format!( - "Error while attempting to unpickle PostProcessor: {e}" - )) - })?; - Ok(()) - } - Err(e) => Err(e.into()), - } - } - - /// Return the number of special tokens that would be added for single/pair sentences. - /// - /// Args: - /// is_pair (:obj:`bool`): - /// Whether the input would be a pair of sequences - /// - /// Returns: - /// :obj:`int`: The number of tokens to add - #[pyo3(text_signature = "(self, is_pair)")] - fn num_special_tokens_to_add(&self, is_pair: bool) -> PyResult { - Ok(self.processor.added_tokens(is_pair)) - } - - /// Post-process the given encodings, generating the final one - /// - /// Args: - /// encoding (:class:`~tokenizers.Encoding`): - /// The encoding for the first sequence - /// - /// pair (:class:`~tokenizers.Encoding`, `optional`): - /// The encoding for the pair sequence - /// - /// add_special_tokens (:obj:`bool`): - /// Whether to add the special tokens - /// - /// Return: - /// :class:`~tokenizers.Encoding`: The final encoding - #[pyo3( - signature = (encoding, pair = None, add_special_tokens = true) -> "Encoding" - )] - #[pyo3(text_signature = "(self, encoding, pair=None, add_special_tokens=True)")] - fn process( - &self, - encoding: &PyEncoding, - pair: Option<&PyEncoding>, - add_special_tokens: bool, - ) -> PyResult { - let final_encoding = ToPyResult(self.processor.process( - encoding.encoding.clone(), - pair.map(|e| e.encoding.clone()), - add_special_tokens, - )) - .into_py()?; - Ok(final_encoding.into()) - } - - fn __repr__(&self) -> PyResult { - crate::utils::serde_pyo3::repr(self) - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - } - - fn __str__(&self) -> PyResult { - crate::utils::serde_pyo3::to_string(self) - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - } -} - -macro_rules! getter { - ($self: ident, $variant: ident, $($name: tt)+) => {{ - let super_ = $self.as_ref(); - if let PyPostProcessorTypeWrapper::Single(ref single) = super_.processor { - if let PostProcessorWrapper::$variant(ref post) = *single.read().expect( - "RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor" - ) { - post.$($name)+ - } else { - unreachable!() - } - } else { - unreachable!() - } - }}; -} - -macro_rules! setter { - ($self: ident, $variant: ident, $name: ident, $value: expr) => {{ - let super_ = $self.as_ref(); - if let PyPostProcessorTypeWrapper::Single(ref single) = super_.processor { - if let PostProcessorWrapper::$variant(ref mut post) = *single.write().expect( - "RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor", - ) { - post.$name = $value; - } - } - }}; - ($self: ident, $variant: ident, @$name: ident, $value: expr) => {{ - let super_ = $self.as_ref(); - if let PyPostProcessorTypeWrapper::Single(ref single) = super_.processor { - if let PostProcessorWrapper::$variant(ref mut post) = *single.write().expect( - "RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor", - ) { - post.$name($value); - } - } - };}; -} - -#[derive(Clone)] -pub(crate) enum PyPostProcessorTypeWrapper { - Sequence(Vec>>), - Single(Arc>), -} - -impl PostProcessor for PyPostProcessorTypeWrapper { - fn added_tokens(&self, is_pair: bool) -> usize { - match self { - PyPostProcessorTypeWrapper::Single(inner) => inner - .read() - .expect("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor") - .added_tokens(is_pair), - PyPostProcessorTypeWrapper::Sequence(inner) => inner.iter().map(|p| { - p.read() - .expect("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor") - .added_tokens(is_pair) - }).sum::(), - } - } - - fn process_encodings( - &self, - mut encodings: Vec, - add_special_tokens: bool, - ) -> tk::Result> { - match self { - PyPostProcessorTypeWrapper::Single(inner) => inner - .read() - .map_err(|_| PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPreTokenizer"))? - .process_encodings(encodings, add_special_tokens), - PyPostProcessorTypeWrapper::Sequence(inner) => { - for processor in inner.iter() { - encodings = processor - .read() - .map_err(|_| PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPreTokenizer"))? - .process_encodings(encodings, add_special_tokens)?; - } - Ok(encodings) - }, - } - } -} - -impl<'de> Deserialize<'de> for PyPostProcessorTypeWrapper { - fn deserialize(deserializer: D) -> Result - where - D: Deserializer<'de>, - { - let wrapper = PostProcessorWrapper::deserialize(deserializer)?; - Ok(wrapper.into()) - } -} - -impl Serialize for PyPostProcessorTypeWrapper { - fn serialize(&self, serializer: S) -> Result - where - S: Serializer, - { - match self { - PyPostProcessorTypeWrapper::Sequence(seq) => { - let mut ser = serializer.serialize_struct("Sequence", 2)?; - ser.serialize_field("type", "Sequence")?; - ser.serialize_field("processors", seq)?; - ser.end() - } - PyPostProcessorTypeWrapper::Single(inner) => inner.serialize(serializer), - } - } -} - -impl From for PyPostProcessorTypeWrapper -where - I: Into, -{ - fn from(processor: I) -> Self { - let processor = processor.into(); - match processor { - PostProcessorWrapper::Sequence(seq) => PyPostProcessorTypeWrapper::Sequence( - seq.into_iter().map(|p| Arc::new(RwLock::new(p))).collect(), - ), - _ => PyPostProcessorTypeWrapper::Single(Arc::new(RwLock::new(processor.clone()))), - } - } -} - -/// This post-processor takes care of adding the special tokens needed by -/// a Bert model: -/// -/// - a SEP token -/// - a CLS token -/// -/// Args: -/// sep (:obj:`Tuple[str, int]`): -/// A tuple with the string representation of the SEP token, and its id -/// -/// cls (:obj:`Tuple[str, int]`): -/// A tuple with the string representation of the CLS token, and its id -/// -/// Example:: -/// -/// >>> from tokenizers.processors import BertProcessing -/// >>> processor = BertProcessing(("[SEP]", 102), ("[CLS]", 101)) -/// >>> processor.process(encoding) -/// # Encoding with [CLS] at start and [SEP] at end -/// -#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "BertProcessing")] -pub struct PyBertProcessing {} -#[pymethods] -impl PyBertProcessing { - #[new] - #[pyo3(text_signature = "(self, sep, cls_token: str| int)")] - fn new(sep: (String, u32), cls_token: (String, u32)) -> PyClassInitializer { - PyClassInitializer::::from(PyPostProcessor::from(BertProcessing::new( - sep, cls_token, - ))) - .add_subclass(PyBertProcessing {}) - } - - fn __getnewargs__<'p>(&self, py: Python<'p>) -> PyResult> { - PyTuple::new(py, [("", 0), ("", 0)]) - } - - #[getter] - fn get_sep(self_: PyRef<'_, Self>) -> Result, PyErr> { - let py = self_.py(); - let (tok, id) = getter!(self_, Bert, get_sep_copy()); - PyTuple::new( - py, - Vec::>::from([tok.into_py_any(py)?, id.into_py_any(py)?]), - ) - } - - #[setter] - fn set_sep(self_: PyRef, sep: Bound<'_, PyTuple>) -> PyResult<()> { - let sep = sep.extract()?; - setter!(self_, Bert, sep, sep); - Ok(()) - } - - #[getter] - fn get_cls(self_: PyRef<'_, Self>) -> Result, PyErr> { - let py = self_.py(); - let (tok, id) = getter!(self_, Bert, get_cls_copy()); - PyTuple::new( - py, - Vec::>::from([tok.into_py_any(py)?, id.into_py_any(py)?]), - ) - } - - #[setter] - fn set_cls(self_: PyRef, cls: Bound<'_, PyTuple>) -> PyResult<()> { - let cls = cls.extract()?; - setter!(self_, Bert, cls, cls); - Ok(()) - } -} - -/// This post-processor takes care of adding the special tokens needed by -/// a Roberta model: -/// -/// - a SEP token -/// - a CLS token -/// -/// It also takes care of trimming the offsets. -/// By default, the ByteLevel BPE might include whitespaces in the produced tokens. If you don't -/// want the offsets to include these whitespaces, then this PostProcessor should be initialized -/// with :obj:`trim_offsets=True` -/// -/// Args: -/// sep (:obj:`Tuple[str, int]`): -/// A tuple with the string representation of the SEP token, and its id -/// -/// cls (:obj:`Tuple[str, int]`): -/// A tuple with the string representation of the CLS token, and its id -/// -/// trim_offsets (:obj:`bool`, `optional`, defaults to :obj:`True`): -/// Whether to trim the whitespaces from the produced offsets. -/// -/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`): -/// Whether the add_prefix_space option was enabled during pre-tokenization. This -/// is relevant because it defines the way the offsets are trimmed out. -/// -/// Example:: -/// -/// >>> from tokenizers.processors import RobertaProcessing -/// >>> processor = RobertaProcessing(("", 2), ("", 0)) -/// >>> processor.process(encoding) -/// # Encoding with at start and at end -/// -#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "RobertaProcessing")] -pub struct PyRobertaProcessing {} -#[pymethods] -impl PyRobertaProcessing { - #[new] - #[pyo3( - signature = (sep, cls_token, trim_offsets = true, add_prefix_space = true), - text_signature = "(self, sep, cls_token, trim_offsets=True, add_prefix_space=True)" - )] - fn new( - sep: (String, u32), - cls_token: (String, u32), - trim_offsets: bool, - add_prefix_space: bool, - ) -> PyClassInitializer { - let proc = RobertaProcessing::new(sep, cls_token) - .trim_offsets(trim_offsets) - .add_prefix_space(add_prefix_space); - PyClassInitializer::::from(PyPostProcessor::from(proc)) - .add_subclass(PyRobertaProcessing {}) - } - - fn __getnewargs__<'p>(&self, py: Python<'p>) -> PyResult> { - PyTuple::new(py, [("", 0), ("", 0)]) - } - - #[getter] - fn get_sep(self_: PyRef<'_, Self>) -> Result, PyErr> { - let py = self_.py(); - let (tok, id) = getter!(self_, Roberta, get_sep_copy()); - PyTuple::new( - py, - Vec::>::from([tok.into_py_any(py)?, id.into_py_any(py)?]), - ) - } - - #[setter] - fn set_sep(self_: PyRef, sep: Bound<'_, PyTuple>) -> PyResult<()> { - let sep = sep.extract()?; - setter!(self_, Roberta, sep, sep); - Ok(()) - } - - #[getter] - fn get_cls(self_: PyRef<'_, Self>) -> Result, PyErr> { - let py = self_.py(); - let (tok, id) = getter!(self_, Roberta, get_cls_copy()); - PyTuple::new( - py, - Vec::>::from([tok.into_py_any(py)?, id.into_py_any(py)?]), - ) - } - - #[setter] - fn set_cls(self_: PyRef, cls: Bound<'_, PyTuple>) -> PyResult<()> { - let cls = cls.extract()?; - setter!(self_, Roberta, cls, cls); - Ok(()) - } - - #[getter] - fn get_trim_offsets(self_: PyRef) -> bool { - getter!(self_, Roberta, trim_offsets) - } - - #[setter] - fn set_trim_offsets(self_: PyRef, trim_offsets: bool) { - setter!(self_, Roberta, trim_offsets, trim_offsets) - } - - #[getter] - fn get_add_prefix_space(self_: PyRef) -> bool { - getter!(self_, Roberta, add_prefix_space) - } - - #[setter] - fn set_add_prefix_space(self_: PyRef, add_prefix_space: bool) { - setter!(self_, Roberta, add_prefix_space, add_prefix_space) - } -} - -/// This post-processor takes care of trimming the offsets. -/// -/// By default, the ByteLevel BPE might include whitespaces in the produced tokens. If you don't -/// want the offsets to include these whitespaces, then this PostProcessor must be used. -/// -/// Args: -/// trim_offsets (:obj:`bool`): -/// Whether to trim the whitespaces from the produced offsets. -/// -/// add_prefix_space (:obj:`bool`, `optional`, defaults to :obj:`True`): -/// If :obj:`True`, keeps the first token's offset as is. If :obj:`False`, increments -/// the start of the first token's offset by 1. Only has an effect if :obj:`trim_offsets` -/// is set to :obj:`True`. -/// -/// Example:: -/// -/// >>> from tokenizers.processors import ByteLevel -/// >>> processor = ByteLevel(trim_offsets=True) -/// >>> # Offsets will be trimmed to exclude leading whitespace bytes -/// -#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "ByteLevel")] -pub struct PyByteLevel {} -#[pymethods] -impl PyByteLevel { - #[new] - #[pyo3( - signature = (add_prefix_space = None, trim_offsets = None, use_regex = None, **_kwargs), - text_signature = "(self, add_prefix_space=None, trim_offsets=None, use_regex=None)" - )] - fn new( - add_prefix_space: Option, - trim_offsets: Option, - use_regex: Option, - _kwargs: Option<&Bound<'_, PyDict>>, - ) -> PyClassInitializer { - let mut byte_level = ByteLevel::default(); - - if let Some(aps) = add_prefix_space { - byte_level = byte_level.add_prefix_space(aps); - } - - if let Some(to) = trim_offsets { - byte_level = byte_level.trim_offsets(to); - } - - if let Some(ur) = use_regex { - byte_level = byte_level.use_regex(ur); - } - - PyClassInitializer::::from(PyPostProcessor::from(byte_level)) - .add_subclass(PyByteLevel {}) - } - - #[getter] - fn get_add_prefix_space(self_: PyRef) -> bool { - getter!(self_, ByteLevel, add_prefix_space) - } - - #[setter] - fn set_add_prefix_space(self_: PyRef, add_prefix_space: bool) { - setter!(self_, ByteLevel, add_prefix_space, add_prefix_space) - } - - #[getter] - fn get_trim_offsets(self_: PyRef) -> bool { - getter!(self_, ByteLevel, trim_offsets) - } - - #[setter] - fn set_trim_offsets(self_: PyRef, trim_offsets: bool) { - setter!(self_, ByteLevel, trim_offsets, trim_offsets) - } - - #[getter] - fn get_use_regex(self_: PyRef) -> bool { - getter!(self_, ByteLevel, use_regex) - } - - #[setter] - fn set_use_regex(self_: PyRef, use_regex: bool) { - setter!(self_, ByteLevel, use_regex, use_regex) - } -} - -#[derive(Clone, Debug)] -pub struct PySpecialToken(SpecialToken); - -impl From for SpecialToken { - fn from(v: PySpecialToken) -> Self { - v.0 - } -} - -impl<'a, 'py> FromPyObject<'a, 'py> for PySpecialToken { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(v) = ob.extract::<(String, u32)>() { - Ok(Self(v.into())) - } else if let Ok(v) = ob.extract::<(u32, String)>() { - Ok(Self(v.into())) - } else if let Ok(d) = ob.cast::() { - let id = d - .get_item("id")? - .ok_or_else(|| exceptions::PyValueError::new_err("`id` must be specified"))? - .extract::()?; - let ids = d - .get_item("ids")? - .ok_or_else(|| exceptions::PyValueError::new_err("`ids` must be specified"))? - .extract::>()?; - let tokens = d - .get_item("tokens")? - .ok_or_else(|| exceptions::PyValueError::new_err("`tokens` must be specified"))? - .extract::>()?; - - Ok(Self( - ToPyResult(SpecialToken::new(id, ids, tokens)).into_py()?, - )) - } else { - Err(exceptions::PyTypeError::new_err( - "Expected Union[Tuple[str, int], Tuple[int, str], dict]", - )) - } - } -} - -#[derive(Clone, Debug)] -pub struct PyTemplate(Template); - -impl From for Template { - fn from(v: PyTemplate) -> Self { - v.0 - } -} - -impl<'a, 'py> FromPyObject<'a, 'py> for PyTemplate { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(s) = ob.extract::() { - Ok(Self( - s.try_into().map_err(exceptions::PyValueError::new_err)?, - )) - } else if let Ok(s) = ob.extract::>() { - Ok(Self( - s.try_into().map_err(exceptions::PyValueError::new_err)?, - )) - } else { - Err(exceptions::PyTypeError::new_err( - "Expected Union[str, List[str]]", - )) - } - } -} - -/// Provides a way to specify templates in order to add the special tokens to each -/// input sequence as relevant. -/// -/// Let's take :obj:`BERT` tokenizer as an example. It uses two special tokens, used to -/// delimitate each sequence. :obj:`[CLS]` is always used at the beginning of the first -/// sequence, and :obj:`[SEP]` is added at the end of both the first, and the pair -/// sequences. The final result looks like this: -/// -/// - Single sequence: :obj:`[CLS] Hello there [SEP]` -/// - Pair sequences: :obj:`[CLS] My name is Anthony [SEP] What is my name? [SEP]` -/// -/// With the type ids as following:: -/// -/// [CLS] ... [SEP] ... [SEP] -/// 0 0 0 1 1 -/// -/// You can achieve such behavior using a TemplateProcessing:: -/// -/// TemplateProcessing( -/// single="[CLS] $0 [SEP]", -/// pair="[CLS] $A [SEP] $B:1 [SEP]:1", -/// special_tokens=[("[CLS]", 1), ("[SEP]", 0)], -/// ) -/// -/// In this example, each input sequence is identified using a ``$`` construct. This identifier -/// lets us specify each input sequence, and the type_id to use. When nothing is specified, -/// it uses the default values. Here are the different ways to specify it: -/// -/// - Specifying the sequence, with default ``type_id == 0``: ``$A`` or ``$B`` -/// - Specifying the `type_id` with default ``sequence == A``: ``$0``, ``$1``, ``$2``, ... -/// - Specifying both: ``$A:0``, ``$B:1``, ... -/// -/// The same construct is used for special tokens: ``(:)?``. -/// -/// **Warning**: You must ensure that you are giving the correct tokens/ids as these -/// will be added to the Encoding without any further check. If the given ids correspond -/// to something totally different in a `Tokenizer` using this `PostProcessor`, it -/// might lead to unexpected results. -/// -/// Args: -/// single (:obj:`Template`): -/// The template used for single sequences -/// -/// pair (:obj:`Template`): -/// The template used when both sequences are specified -/// -/// special_tokens (:obj:`Tokens`): -/// The list of special tokens used in each sequences -/// -/// Types: -/// -/// Template (:obj:`str` or :obj:`List`): -/// - If a :obj:`str` is provided, the whitespace is used as delimiter between tokens -/// - If a :obj:`List[str]` is provided, a list of tokens -/// -/// Tokens (:obj:`List[Union[Tuple[int, str], Tuple[str, int], dict]]`): -/// - A :obj:`Tuple` with both a token and its associated ID, in any order -/// - A :obj:`dict` with the following keys: -/// - "id": :obj:`str` => The special token id, as specified in the Template -/// - "ids": :obj:`List[int]` => The associated IDs -/// - "tokens": :obj:`List[str]` => The associated tokens -/// -/// The given dict expects the provided :obj:`ids` and :obj:`tokens` lists to have -/// the same length. -#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "TemplateProcessing")] -pub struct PyTemplateProcessing {} -#[pymethods] -impl PyTemplateProcessing { - #[new] - #[pyo3( - signature = (single = None, pair = None, special_tokens = None), - text_signature = "(self, single=None, pair=None, special_tokens=None)" - )] - fn new( - single: Option, - pair: Option, - special_tokens: Option>, - ) -> PyResult> { - let mut builder = tk::processors::template::TemplateProcessing::builder(); - - if let Some(seq) = single { - builder.single(seq.into()); - } - if let Some(seq) = pair { - builder.pair(seq.into()); - } - if let Some(sp) = special_tokens { - builder.special_tokens(sp); - } - let processor = builder - .build() - .map_err(|e| exceptions::PyValueError::new_err(e.to_string()))?; - - Ok( - PyClassInitializer::::from(PyPostProcessor::from(processor)) - .add_subclass(PyTemplateProcessing {}), - ) - } - - #[getter] - fn get_single(self_: PyRef) -> String { - getter!(self_, Template, get_single()) - } - - #[setter] - fn set_single(self_: PyRef, single: PyTemplate) -> PyResult<()> { - let template: Template = Template::from(single); - let super_ = self_.as_ref(); - if let PyPostProcessorTypeWrapper::Single(ref inner) = super_.processor { - if let PostProcessorWrapper::Template(ref mut post) = *inner - .write() - .map_err(|_| PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor"))? { - post.set_single(template); - } - } - Ok(()) - } -} - -/// Sequence Processor -/// -/// Chains multiple post-processors together, applying them in order. Each processor -/// in the sequence processes the output of the previous one. -/// -/// Args: -/// processors (:obj:`List[PostProcessor]`): -/// The list of post-processors to chain together. -/// -/// Example:: -/// -/// >>> from tokenizers.processors import BertProcessing, ByteLevel, Sequence -/// >>> processor = Sequence([ByteLevel(trim_offsets=True), BertProcessing(("[SEP]", 102), ("[CLS]", 101))]) -/// -#[pyclass(extends=PyPostProcessor, module = "tokenizers.processors", name = "Sequence")] -pub struct PySequence {} - -#[pymethods] -impl PySequence { - #[new] - #[pyo3(signature = (processors_py), text_signature = "(self, processors)")] - fn new(processors_py: &Bound<'_, PyList>) -> PyResult> { - let mut processors = Vec::with_capacity(processors_py.len()); - for n in processors_py.iter() { - let processor: PyRef = n.extract()?; - match &processor.processor { - PyPostProcessorTypeWrapper::Sequence(inner) => { - processors.extend(inner.iter().cloned()) - } - PyPostProcessorTypeWrapper::Single(inner) => processors.push(inner.clone()), - } - } - Ok( - PyClassInitializer::::from(PyPostProcessor::new( - PyPostProcessorTypeWrapper::Sequence(processors), - )) - .add_subclass(PySequence {}), - ) - } - - fn __getnewargs__<'p>(&self, py: Python<'p>) -> PyResult> { - PyTuple::new(py, [PyList::empty(py)]) - } - - fn __getitem__(self_: PyRef<'_, Self>, py: Python<'_>, index: usize) -> PyResult> { - match &self_.as_ref().processor { - PyPostProcessorTypeWrapper::Sequence(ref inner) => match inner.get(index) { - Some(item) => { - PyPostProcessor::new(PyPostProcessorTypeWrapper::Single(item.clone())) - .get_as_subtype(py) - } - _ => Err(PyErr::new::( - "Index not found", - )), - }, - _ => Err(PyErr::new::( - "This processor is not a Sequence, it does not support __getitem__", - )), - } - } - - fn __setitem__(self_: PyRef<'_, Self>, index: usize, value: Bound<'_, PyAny>) -> PyResult<()> { - let processor: PyPostProcessor = value.extract()?; - let PyPostProcessorTypeWrapper::Single(processor) = processor.processor else { - return Err(PyException::new_err("processor should not be a sequence")); - }; - - match &self_.as_ref().processor { - PyPostProcessorTypeWrapper::Sequence(inner) => match inner.get(index) { - Some(item) => { - *item - .write() - .map_err(|_| PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor"))? = processor - .read() - .map_err(|_| PyException::new_err("RwLock synchronisation primitive is poisoned, cannot get subtype of PyPostProcessor"))? - .clone(); - } - _ => { - return Err(PyErr::new::( - "Index not found", - )) - } - }, - _ => { - return Err(PyException::new_err( - "This processor is not a Sequence, it does not support __setitem__", - )) - } - }; - Ok(()) - } -} - -/// Processors Module -#[pymodule(gil_used = false)] -pub mod processors { - #[pymodule_export] - pub use super::PyBertProcessing; - #[pymodule_export] - pub use super::PyByteLevel; - #[pymodule_export] - pub use super::PyPostProcessor; - #[pymodule_export] - pub use super::PyRobertaProcessing; - #[pymodule_export] - pub use super::PySequence; - #[pymodule_export] - pub use super::PyTemplateProcessing; -} - -#[cfg(test)] -mod test { - use std::sync::{Arc, RwLock}; - - use pyo3::prelude::*; - use tk::processors::bert::BertProcessing; - use tk::processors::PostProcessorWrapper; - - use crate::processors::{PyPostProcessor, PyPostProcessorTypeWrapper}; - - #[test] - fn get_subtype() { - Python::attach(|py| { - let py_proc = PyPostProcessor::new(PyPostProcessorTypeWrapper::Single(Arc::new( - RwLock::new(BertProcessing::new(("SEP".into(), 0), ("CLS".into(), 1)).into()), - ))); - let py_bert = py_proc.get_as_subtype(py).unwrap(); - assert_eq!( - "BertProcessing", - py_bert.bind(py).get_type().qualname().unwrap() - ); - }) - } - - #[test] - fn serialize() { - let rs_processing = BertProcessing::new(("SEP".into(), 0), ("CLS".into(), 1)); - let rs_wrapper: PostProcessorWrapper = rs_processing.clone().into(); - let rs_processing_ser = serde_json::to_string(&rs_processing).unwrap(); - let rs_wrapper_ser = serde_json::to_string(&rs_wrapper).unwrap(); - - let py_processing = PyPostProcessor::new(PyPostProcessorTypeWrapper::Single(Arc::new( - RwLock::new(rs_wrapper), - ))); - let py_ser = serde_json::to_string(&py_processing).unwrap(); - assert_eq!(py_ser, rs_processing_ser); - assert_eq!(py_ser, rs_wrapper_ser); - - let py_processing: PyPostProcessor = serde_json::from_str(&rs_processing_ser).unwrap(); - match py_processing.processor { - PyPostProcessorTypeWrapper::Single(inner) => match *inner.as_ref().read().unwrap() { - PostProcessorWrapper::Bert(_) => (), - _ => panic!("Expected Bert postprocessor."), - }, - _ => panic!("Expected a single processor, got a sequence"), - } - - let py_processing: PyPostProcessor = serde_json::from_str(&rs_wrapper_ser).unwrap(); - match py_processing.processor { - PyPostProcessorTypeWrapper::Single(inner) => match *inner.as_ref().read().unwrap() { - PostProcessorWrapper::Bert(_) => (), - _ => panic!("Expected Bert postprocessor."), - }, - _ => panic!("Expected a single processor, got a sequence"), - }; - } -} diff --git a/bindings/python/src/tokenizer.rs b/bindings/python/src/tokenizer.rs index 2ccb111473..80c48b27ab 100644 --- a/bindings/python/src/tokenizer.rs +++ b/bindings/python/src/tokenizer.rs @@ -1,34 +1,23 @@ use serde::{ser::Error as SerError, Serialize, Serializer}; -use std::collections::{hash_map::DefaultHasher, HashMap}; +use std::collections::{hash_map::DefaultHasher, BTreeMap, HashMap}; use std::hash::{Hash, Hasher}; +use std::str::FromStr; use std::sync::{Arc, RwLock, RwLockReadGuard, RwLockWriteGuard}; -use numpy::{npyffi, PyArray1, PyArrayMethods}; use pyo3::class::basic::CompareOp; use pyo3::intern; use pyo3::prelude::*; use pyo3::types::*; -use pyo3::IntoPyObject; -use pyo3::{exceptions, IntoPyObjectExt}; +use pyo3::{exceptions, IntoPyObject}; use tk::models::bpe::BPE; -use tk::tokenizer::{ - PaddingDirection, PaddingParams, PaddingStrategy, PostProcessor, TokenizerImpl, - TruncationDirection, TruncationParams, TruncationStrategy, -}; -use tk::utils::iter::ResultShunt; -use tk::{TokenizerTrainExt, Trainable}; +use tk::tokenizer::pipeline::PipelineTokenizer; +use tk::tokenizer::TokenizerImpl; use tokenizers as tk; -use super::decoders::PyDecoder; -use super::encoding::PyEncoding; -use super::error::{PyError, ToPyResult}; +use super::error::ToPyResult; use super::models::PyModel; use super::normalizers::PyNormalizer; use super::pre_tokenizers::PyPreTokenizer; -use super::trainers::PyTrainer; -use crate::processors::PyPostProcessor; -use crate::utils::{MaybeSizedIterator, PyBufferedIterator}; -use std::collections::BTreeMap; /// Represents a token that can be be added to a :class:`~tokenizers.Tokenizer`. /// It can have special options that defines the way it should behave. @@ -267,259 +256,24 @@ impl PyAddedToken { } } -struct TextInputSequence<'s>(tk::InputSequence<'s>); -impl<'a, 'py> FromPyObject<'a, 'py> for TextInputSequence<'py> { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - let err = exceptions::PyTypeError::new_err("TextInputSequence must be str"); - if let Ok(s) = ob.extract::() { - Ok(Self(s.into())) - } else { - Err(err) - } - } -} -impl<'s> From> for tk::InputSequence<'s> { - fn from(s: TextInputSequence<'s>) -> Self { - s.0 - } -} - -struct PyArrayUnicode(Vec); -impl<'a, 'py> FromPyObject<'a, 'py> for PyArrayUnicode { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - // SAFETY Making sure the pointer is a valid numpy array requires calling numpy C code - if unsafe { npyffi::PyArray_Check(ob.py(), ob.as_ptr()) } == 0 { - return Err(exceptions::PyTypeError::new_err("Expected an np.array")); - } - let arr = ob.as_ptr() as *mut npyffi::PyArrayObject; - // SAFETY Getting all the metadata about the numpy array to check its sanity - let (type_num, elsize, _alignment, data, nd, flags) = unsafe { - let desc = (*arr).descr; - ( - (*desc).type_num, - npyffi::PyDataType_ELSIZE(ob.py(), desc) as usize, - npyffi::PyDataType_ALIGNMENT(ob.py(), desc) as usize, - (*arr).data, - (*arr).nd, - (*arr).flags, - ) - }; - - if nd != 1 { - return Err(exceptions::PyTypeError::new_err( - "Expected a 1 dimensional np.array", - )); - } - if flags & (npyffi::NPY_ARRAY_C_CONTIGUOUS | npyffi::NPY_ARRAY_F_CONTIGUOUS) == 0 { - return Err(exceptions::PyTypeError::new_err( - "Expected a contiguous np.array", - )); - } - if type_num != npyffi::types::NPY_TYPES::NPY_UNICODE as i32 { - return Err(exceptions::PyTypeError::new_err( - "Expected a np.array[dtype='U']", - )); - } - - // SAFETY Looking at the raw numpy data to create new owned Rust strings via copies (so it's safe afterwards). - unsafe { - let n_elem = *(*arr).dimensions as usize; - let all_bytes = std::slice::from_raw_parts(data as *const u8, elsize * n_elem); - - let seq = (0..n_elem) - .map(|i| { - let bytes = &all_bytes[i * elsize..(i + 1) * elsize]; - Ok(std::str::from_utf8(bytes) - .map_err(|e| exceptions::PyValueError::new_err(e.to_string()))? - .to_owned()) - // let unicode = pyo3::ffi::PyUnicode_FromKindAndData( - // pyo3::ffi::PyUnicode_4BYTE_KIND as _, - // bytes.as_ptr() as *const _, - // elsize as isize / alignment as isize, - // ); - // let py = ob.py(); - // let obj = Py::from_owned_ptr(py, unicode); - // let s = obj.downcast_bound::(py)?; - // Ok(s.to_string_lossy().trim_matches(char::from(0)).to_owned()) - }) - .collect::>>()?; - - Ok(Self(seq)) - } - } -} -impl From for tk::InputSequence<'_> { - fn from(s: PyArrayUnicode) -> Self { - s.0.into() - } -} - -struct PyArrayStr(Vec); - -impl<'a, 'py> FromPyObject<'a, 'py> for PyArrayStr { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - let array = ob.cast::>>()?; - let seq = array - .readonly() - .as_array() - .iter() - .map(|obj| { - let s = obj.cast_bound::(ob.py())?; - Ok(s.to_string_lossy().into_owned()) - }) - .collect::>>()?; - - Ok(Self(seq)) - } -} -impl From for tk::InputSequence<'_> { - fn from(s: PyArrayStr) -> Self { - s.0.into() - } -} - -struct PreTokenizedInputSequence<'s>(tk::InputSequence<'s>); -impl<'a, 'py> FromPyObject<'a, 'py> for PreTokenizedInputSequence<'py> { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(seq) = ob.extract::() { - return Ok(Self(seq.into())); - } - if let Ok(seq) = ob.extract::() { - return Ok(Self(seq.into())); - } - if let Ok(s) = ob.cast::() { - if let Ok(seq) = s.extract::>() { - return Ok(Self(seq.into())); - } - } - if let Ok(s) = ob.cast::() { - if let Ok(seq) = s.extract::>() { - return Ok(Self(seq.into())); - } - } - Err(exceptions::PyTypeError::new_err( - "PreTokenizedInputSequence must be Union[List[str], Tuple[str]]", - )) - } -} -impl<'s> From> for tk::InputSequence<'s> { - fn from(s: PreTokenizedInputSequence<'s>) -> Self { - s.0 - } -} - -struct TextEncodeInput<'s>(tk::EncodeInput<'s>); -impl<'a, 'py> FromPyObject<'a, 'py> for TextEncodeInput<'py> { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(i) = ob.extract::() { - return Ok(Self(i.into())); - } - if let Ok((i1, i2)) = ob.extract::<(TextInputSequence, TextInputSequence)>() { - return Ok(Self((i1, i2).into())); - } - if let Ok(arr) = ob.extract::>>() { - if arr.len() == 2 { - let py = ob.py(); - let first = arr[0].bind(py).extract::()?; - let second = arr[1].bind(py).extract::()?; - return Ok(Self((first, second).into())); - } - } - Err(exceptions::PyTypeError::new_err( - "TextEncodeInput must be Union[TextInputSequence, Tuple[InputSequence, InputSequence]]", - )) - } -} -impl<'s> From> for tk::tokenizer::EncodeInput<'s> { - fn from(i: TextEncodeInput<'s>) -> Self { - i.0 - } -} -struct PreTokenizedEncodeInput<'s>(tk::EncodeInput<'s>); -impl<'a, 'py> FromPyObject<'a, 'py> for PreTokenizedEncodeInput<'py> { - type Error = PyErr; - - fn extract(ob: Borrowed<'a, 'py, PyAny>) -> Result { - if let Ok(i) = ob.extract::() { - return Ok(Self(i.into())); - } - if let Ok((i1, i2)) = ob.extract::<(PreTokenizedInputSequence, PreTokenizedInputSequence)>() - { - return Ok(Self((i1, i2).into())); - } - if let Ok(arr) = ob.extract::>>() { - if arr.len() == 2 { - let py = ob.py(); - let first = arr[0].bind(py).extract::()?; - let second = arr[1].bind(py).extract::()?; - return Ok(Self((first, second).into())); - } - } - Err(exceptions::PyTypeError::new_err( - "PreTokenizedEncodeInput must be Union[PreTokenizedInputSequence, \ - Tuple[PreTokenizedInputSequence, PreTokenizedInputSequence]]", - )) - } -} -impl<'s> From> for tk::tokenizer::EncodeInput<'s> { - fn from(i: PreTokenizedEncodeInput<'s>) -> Self { - i.0 - } -} - -type Tokenizer = TokenizerImpl; +/// The inner tokenizer: pipeline-only, so it carries just the model, normalizer and +/// pre-tokenizer config (no post-processor / decoder / padding / truncation any more). +type Tokenizer = TokenizerImpl; /// A :obj:`Tokenizer` works as a pipeline. It processes some raw text as input -/// and outputs an :class:`~tokenizers.Encoding`. -/// -/// The pipeline is structured as follows: +/// and outputs a list of token ids. /// -/// 1. The :class:`~tokenizers.normalizers.Normalizer` normalizes the raw input text. -/// 2. The :class:`~tokenizers.pre_tokenizers.PreTokenizer` splits the normalized text -/// into word-level tokens. -/// 3. The :class:`~tokenizers.models.Model` tokenizes each word into subword tokens -/// and maps them to IDs. -/// 4. The :class:`~tokenizers.processors.PostProcessor` applies any final -/// transformations (e.g., adding special tokens like ``[CLS]`` and ``[SEP]``). +/// The pipeline is: normalize -> pre-tokenize -> model (subword -> id). This build is +/// **inference-only** (the fast `PipelineTokenizer` engine); decoding, offsets, padding, +/// truncation and post-processing are not available. /// /// Args: /// model (:class:`~tokenizers.models.Model`): /// The core algorithm that this :obj:`Tokenizer` should be using. -/// -/// Example:: -/// -/// >>> from tokenizers import Tokenizer -/// >>> from tokenizers.models import BPE -/// >>> from tokenizers.normalizers import Lowercase -/// >>> from tokenizers.pre_tokenizers import Whitespace -/// >>> tokenizer = Tokenizer(BPE(unk_token="")) -/// >>> tokenizer.normalizer = Lowercase() -/// >>> tokenizer.pre_tokenizer = Whitespace() -/// >>> # Load a pre-built tokenizer from HuggingFace Hub -/// >>> tokenizer = Tokenizer.from_pretrained("bert-base-uncased") -/// -#[pyclass( - dict, - weakref, - module = "tokenizers", - name = "Tokenizer", - from_py_object -)] +#[pyclass(dict, weakref, module = "tokenizers", name = "Tokenizer", from_py_object)] pub struct PyTokenizer { - /// `Arc` so cloning is a refcount bump (matches the pre-RwLock semantics - /// where the inner tokenizer was shared across `PyTokenizer` clones). - /// `RwLock` so concurrent setters and encoders don't race PyO3's - /// per-pyclass borrow check on free-threaded Python. + /// `Arc` so cloning is a refcount bump; `RwLock` so concurrent setters and + /// encoders don't race PyO3's per-pyclass borrow check on free-threaded Python. pub(crate) tokenizer: Arc>, } @@ -533,8 +287,6 @@ impl Clone for PyTokenizer { impl Serialize for PyTokenizer { fn serialize(&self, serializer: S) -> Result { - // Equivalent to the previous `#[serde(transparent)]` derive — forward - // through to the inner Tokenizer. let guard = self .tokenizer .read() @@ -550,16 +302,12 @@ impl PyTokenizer { } } - /// Acquire the inner tokenizer for reading; surfaces lock poisoning as a - /// `PyException` instead of panicking. pub(crate) fn read_inner(&self) -> PyResult> { self.tokenizer .read() .map_err(|_| exceptions::PyException::new_err("Tokenizer RwLock is poisoned")) } - /// Acquire the inner tokenizer for writing; surfaces lock poisoning as a - /// `PyException` instead of panicking. pub(crate) fn write_inner(&self) -> PyResult> { self.tokenizer .write() @@ -570,109 +318,29 @@ impl PyTokenizer { PyTokenizer::new(TokenizerImpl::new(model)) } - // Extract a pretokenized sequence into an owned Vec - fn extract_pretok_seq(ob: &Bound<'_, PyAny>) -> PyResult> { - if let Ok(seq) = ob.extract::() { - return Ok(seq.0); - } - if let Ok(seq) = ob.extract::() { - return Ok(seq.0); - } - if let Ok(list) = ob.cast::() { - return list.extract::>(); - } - if let Ok(tup) = ob.cast::() { - return tup.extract::>(); - } - Err(exceptions::PyTypeError::new_err( - "PreTokenizedInputSequence must be List[str] | Tuple[str] | np.ndarray[U] | np.ndarray[object[str]]", - )) - } - - // Convert Python inputs into fully-owned EncodeInput<'static> - fn build_owned_encode_inputs( - items: &[Bound<'_, PyAny>], - is_pretokenized: bool, - ) -> PyResult>> { - let mut out = Vec::with_capacity(items.len()); - - for it in items { - if is_pretokenized { - // Pair? - if let Ok(tup) = it.cast::() { - if tup.len() == 2 { - let a = Self::extract_pretok_seq(&tup.get_item(0)?)?; - let b = Self::extract_pretok_seq(&tup.get_item(1)?)?; - out.push(tk::EncodeInput::Dual(a.into(), b.into())); - continue; - } - } - if let Ok(lst) = it.cast::() { - if lst.len() == 2 { - let a = Self::extract_pretok_seq(&lst.get_item(0)?)?; - let b = Self::extract_pretok_seq(&lst.get_item(1)?)?; - out.push(tk::EncodeInput::Dual(a.into(), b.into())); - continue; - } - } - // Single pretokenized - let a = Self::extract_pretok_seq(it)?; - out.push(tk::EncodeInput::Single(a.into())); - } else { - // Raw text: pair? - if let Ok(tup) = it.cast::() { - if tup.len() == 2 { - let a: String = tup.get_item(0)?.extract()?; - let b: String = tup.get_item(1)?.extract()?; - out.push(tk::EncodeInput::Dual(a.into(), b.into())); - continue; - } - } - if let Ok(lst) = it.cast::() { - if lst.len() == 2 - && lst.get_item(0)?.cast::().is_ok() - && lst.get_item(1)?.cast::().is_ok() - { - let a: String = lst.get_item(0)?.extract()?; - let b: String = lst.get_item(1)?.extract()?; - out.push(tk::EncodeInput::Dual(a.into(), b.into())); - continue; - } - } - // Single raw text - let s: String = it.extract()?; - out.push(tk::EncodeInput::Single(s.into())); - } - } - Ok(out) - } - - // Helper method to build a single owned encode input - fn build_single_owned_encode_input( - sequence: &Bound<'_, PyAny>, - pair: Option<&Bound<'_, PyAny>>, - is_pretokenized: bool, - ) -> PyResult> { - let owned_sequence: tk::InputSequence<'static> = if is_pretokenized { - let seq = Self::extract_pretok_seq(sequence)?; - seq.into() - } else { - let s: String = sequence.extract()?; - s.into() + /// Build a fast `PipelineTokenizer` for the current config. + /// + /// The Python tokenizer carries `Py*` component wrappers; the pipeline needs the concrete + /// `tk_encode` wrappers, so we round-trip through the (identical) tokenizer.json serde + /// representation. ponytail: rebuilt per encode call — correct but not cached; add a + /// mutation-invalidated cache if encode throughput matters. + fn build_pipeline(&self) -> PyResult { + let json = { + let guard = self.read_inner()?; + serde_json::to_string(&*guard).map_err(|e| { + exceptions::PyException::new_err(format!( + "Cannot serialize tokenizer for the pipeline: {e}" + )) + })? }; - - if let Some(pair) = pair { - let owned_pair: tk::InputSequence<'static> = if is_pretokenized { - let seq = Self::extract_pretok_seq(pair)?; - seq.into() - } else { - let s: String = pair.extract()?; - s.into() - }; - Ok(tk::EncodeInput::Dual(owned_sequence, owned_pair)) - } else { - Ok(tk::EncodeInput::Single(owned_sequence)) - } + let concrete = tk::Tokenizer::from_str(&json).map_err(|e| { + exceptions::PyException::new_err(format!("Cannot rebuild tokenizer: {e}")) + })?; + PipelineTokenizer::try_from(&concrete).map_err(|e| { + exceptions::PyException::new_err(format!( + "This tokenizer is not supported by the pipeline encode path: {e}" + )) + }) } } @@ -716,14 +384,6 @@ impl PyTokenizer { } /// Instantiate a new :class:`~tokenizers.Tokenizer` from the given JSON string. - /// - /// Args: - /// json (:obj:`str`): - /// A valid JSON string representing a previously serialized - /// :class:`~tokenizers.Tokenizer` - /// - /// Returns: - /// :class:`~tokenizers.Tokenizer`: The new tokenizer #[staticmethod] #[pyo3(signature = (json) -> "Tokenizer")] #[pyo3(text_signature = "(json)")] @@ -733,14 +393,6 @@ impl PyTokenizer { } /// Instantiate a new :class:`~tokenizers.Tokenizer` from the file at the given path. - /// - /// Args: - /// path (:obj:`str`): - /// A path to a local JSON file representing a previously serialized - /// :class:`~tokenizers.Tokenizer` - /// - /// Returns: - /// :class:`~tokenizers.Tokenizer`: The new tokenizer #[staticmethod] #[pyo3(signature = (path) -> "Tokenizer")] #[pyo3(text_signature = "(path)")] @@ -750,40 +402,20 @@ impl PyTokenizer { } /// Instantiate a new :class:`~tokenizers.Tokenizer` from the given buffer. - /// - /// Args: - /// buffer (:obj:`bytes`): - /// A buffer containing a previously serialized :class:`~tokenizers.Tokenizer` - /// - /// Returns: - /// :class:`~tokenizers.Tokenizer`: The new tokenizer #[staticmethod] #[pyo3(signature = (buffer) -> "Tokenizer")] #[pyo3(text_signature = "(buffer)")] fn from_buffer(buffer: &Bound<'_, PyBytes>) -> PyResult { - let tokenizer = serde_json::from_slice(buffer.as_bytes()).map_err(|e| { + let tokenizer: Tokenizer = serde_json::from_slice(buffer.as_bytes()).map_err(|e| { exceptions::PyValueError::new_err(format!( "Cannot instantiate Tokenizer from buffer: {e}" )) })?; - Ok(Self { tokenizer }) + Ok(Self::new(tokenizer)) } /// Instantiate a new :class:`~tokenizers.Tokenizer` from an existing file on the /// Hugging Face Hub. - /// - /// Args: - /// identifier (:obj:`str`): - /// The identifier of a Model on the Hugging Face Hub, that contains - /// a tokenizer.json file - /// revision (:obj:`str`, defaults to `main`): - /// A branch or commit id - /// token (:obj:`str`, `optional`, defaults to `None`): - /// An optional auth token used to access private repositories on the - /// Hugging Face Hub - /// - /// Returns: - /// :class:`~tokenizers.Tokenizer`: The new tokenizer #[staticmethod] #[pyo3(signature = (identifier, revision = String::from("main"), token = None) -> "Tokenizer")] #[pyo3(text_signature = "(identifier, revision=\"main\", token=None)")] @@ -813,13 +445,6 @@ impl PyTokenizer { } /// Gets a serialized string representing this :class:`~tokenizers.Tokenizer`. - /// - /// Args: - /// pretty (:obj:`bool`, defaults to :obj:`False`): - /// Whether the JSON string should be pretty formatted. - /// - /// Returns: - /// :obj:`str`: A string representing the serialized Tokenizer #[pyo3(signature = (pretty = false) -> "str")] #[pyo3(text_signature = "(self, pretty=False)")] fn to_str(&self, pretty: bool) -> PyResult { @@ -827,13 +452,6 @@ impl PyTokenizer { } /// Save the :class:`~tokenizers.Tokenizer` to the file at the given path. - /// - /// Args: - /// path (:obj:`str`): - /// A path to a file in which to save the serialized tokenizer. - /// - /// pretty (:obj:`bool`, defaults to :obj:`True`): - /// Whether the JSON file should be pretty formatted. #[pyo3(signature = (path, pretty = true) -> "None")] #[pyo3(text_signature = "(self, path, pretty=True)")] fn save(&self, path: &str, pretty: bool) -> PyResult<()> { @@ -850,831 +468,99 @@ impl PyTokenizer { .map_err(|e| exceptions::PyException::new_err(e.to_string())) } - /// Return the number of special tokens that would be added for single/pair sentences. - /// :param is_pair: Boolean indicating if the input would be a single sentence or a pair - /// :return: - #[pyo3(text_signature = "(self, is_pair)")] - fn num_special_tokens_to_add(&self, is_pair: bool) -> usize { - self.tokenizer - .read() - .unwrap() - .get_post_processor() - .map_or(0, |p| p.added_tokens(is_pair)) - } - /// Get the underlying vocabulary - /// - /// Args: - /// with_added_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to include the added tokens - /// - /// Returns: - /// :obj:`Dict[str, int]`: The vocabulary #[pyo3(signature = (with_added_tokens = true) -> "dict[str, int]")] #[pyo3(text_signature = "(self, with_added_tokens=True)")] fn get_vocab(&self, with_added_tokens: bool) -> PyResult> { Ok(self.read_inner()?.get_vocab(with_added_tokens)) } - /// Get the underlying vocabulary - /// - /// Returns: - /// :obj:`Dict[int, AddedToken]`: The vocabulary + /// Get the underlying added-token map, keyed by id. #[pyo3(signature = () -> "dict[int, AddedToken]")] #[pyo3(text_signature = "(self)")] fn get_added_tokens_decoder(&self) -> PyResult> { let mut sorted_map = BTreeMap::new(); - for (key, value) in self.read_inner()?.get_added_tokens_decoder() { sorted_map.insert(key, value.into()); } - Ok(sorted_map) } /// Get the size of the underlying vocabulary - /// - /// Args: - /// with_added_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to include the added tokens - /// - /// Returns: - /// :obj:`int`: The size of the vocabulary #[pyo3(signature = (with_added_tokens = true) -> "int")] #[pyo3(text_signature = "(self, with_added_tokens=True)")] - fn get_vocab_size(&self, with_added_tokens: bool) -> usize { - self.tokenizer - .read() - .unwrap() - .get_vocab_size(with_added_tokens) - } - - /// Enable truncation - /// - /// Args: - /// max_length (:obj:`int`): - /// The max length at which to truncate - /// - /// stride (:obj:`int`, `optional`): - /// The length of the previous first sequence to be included in the overflowing - /// sequence - /// - /// strategy (:obj:`str`, `optional`, defaults to :obj:`longest_first`): - /// The strategy used to truncation. Can be one of ``longest_first``, ``only_first`` or - /// ``only_second``. - /// - /// direction (:obj:`str`, defaults to :obj:`right`): - /// Truncate direction - #[pyo3(signature = (max_length, **kwargs) -> "None")] - #[pyo3( - text_signature = "(self, max_length, stride=0, strategy='longest_first', direction='right')" - )] - fn enable_truncation( - &self, - max_length: usize, - kwargs: Option<&Bound<'_, PyDict>>, - ) -> PyResult<()> { - let mut params = TruncationParams { - max_length, - ..Default::default() - }; - - if let Some(kwargs) = kwargs { - for (key, value) in kwargs { - let key: String = key.extract()?; - match key.as_ref() { - "stride" => params.stride = value.extract()?, - "strategy" => { - let value: String = value.extract()?; - params.strategy = match value.as_ref() { - "longest_first" => Ok(TruncationStrategy::LongestFirst), - "only_first" => Ok(TruncationStrategy::OnlyFirst), - "only_second" => Ok(TruncationStrategy::OnlySecond), - _ => Err(PyError(format!( - "Unknown `strategy`: `{value}`. Use \ - one of `longest_first`, `only_first`, or `only_second`" - )) - .into_pyerr::()), - }? - } - "direction" => { - let value: String = value.extract()?; - params.direction = match value.as_ref() { - "left" => Ok(TruncationDirection::Left), - "right" => Ok(TruncationDirection::Right), - _ => Err(PyError(format!( - "Unknown `direction`: `{value}`. Use \ - one of `left` or `right`." - )) - .into_pyerr::()), - }? - } - _ => println!("Ignored unknown kwarg option {key}"), - } - } - } - - if let Err(error_message) = self - .tokenizer - .write() - .unwrap() - .with_truncation(Some(params)) - { - return Err(PyError(error_message.to_string()).into_pyerr::()); - } - Ok(()) - } - - /// Disable truncation - #[pyo3(text_signature = "(self)")] - fn no_truncation(&self) { - self.tokenizer - .write() - .unwrap() - .with_truncation(None) - .expect("Failed to set truncation to `None`! This should never happen"); - } - - /// Get the currently set truncation parameters - /// - /// `Cannot set, use` :meth:`~tokenizers.Tokenizer.enable_truncation` `instead` - /// - /// Returns: - /// (:obj:`dict`, `optional`): - /// A dict with the current truncation parameters if truncation is enabled - #[getter] - fn get_truncation<'py>(&self, py: Python<'py>) -> PyResult>> { - self.tokenizer - .read() - .unwrap() - .get_truncation() - .map_or(Ok(None), |params| { - let dict = PyDict::new(py); - - dict.set_item("max_length", params.max_length)?; - dict.set_item("stride", params.stride)?; - dict.set_item("strategy", params.strategy.as_ref())?; - dict.set_item("direction", params.direction.as_ref())?; - - Ok(Some(dict)) - }) + fn get_vocab_size(&self, with_added_tokens: bool) -> PyResult { + Ok(self.read_inner()?.get_vocab_size(with_added_tokens)) } - /// Enable the padding + /// Encode the given sequence into token ids. /// /// Args: - /// direction (:obj:`str`, `optional`, defaults to :obj:`right`): - /// The direction in which to pad. Can be either ``right`` or ``left`` - /// - /// pad_to_multiple_of (:obj:`int`, `optional`): - /// If specified, the padding length should always snap to the next multiple of the - /// given value. For example if we were going to pad witha length of 250 but - /// ``pad_to_multiple_of=8`` then we will pad to 256. - /// - /// pad_id (:obj:`int`, defaults to 0): - /// The id to be used when padding - /// - /// pad_type_id (:obj:`int`, defaults to 0): - /// The type id to be used when padding - /// - /// pad_token (:obj:`str`, defaults to :obj:`[PAD]`): - /// The pad token to be used when padding - /// - /// length (:obj:`int`, `optional`): - /// If specified, the length at which to pad. If not specified we pad using the size of - /// the longest sequence in a batch. - #[pyo3(signature = (**kwargs) -> "None")] - #[pyo3( - text_signature = "(self, direction='right', pad_id=0, pad_type_id=0, pad_token='[PAD]', length=None, pad_to_multiple_of=None)" - )] - fn enable_padding(&self, kwargs: Option<&Bound<'_, PyDict>>) -> PyResult<()> { - let mut params = PaddingParams::default(); - - if let Some(kwargs) = kwargs { - for (key, value) in kwargs { - let key: String = key.extract()?; - match key.as_ref() { - "direction" => { - let value: String = value.extract()?; - params.direction = match value.as_ref() { - "left" => Ok(PaddingDirection::Left), - "right" => Ok(PaddingDirection::Right), - other => Err(PyError(format!( - "Unknown `direction`: `{other}`. Use \ - one of `left` or `right`" - )) - .into_pyerr::()), - }?; - } - "pad_to_multiple_of" => { - if let Some(multiple) = value.extract()? { - params.pad_to_multiple_of = multiple; - } - } - "pad_id" => params.pad_id = value.extract()?, - "pad_type_id" => params.pad_type_id = value.extract()?, - "pad_token" => params.pad_token = value.extract()?, - "max_length" => { - println!( - "enable_padding(max_length=X) is deprecated, \ - use enable_padding(length=X) instead" - ); - if let Some(l) = value.extract()? { - params.strategy = PaddingStrategy::Fixed(l); - } else { - params.strategy = PaddingStrategy::BatchLongest; - } - } - "length" => { - if let Some(l) = value.extract()? { - params.strategy = PaddingStrategy::Fixed(l); - } else { - params.strategy = PaddingStrategy::BatchLongest; - } - } - _ => println!("Ignored unknown kwarg option {key}"), - } - } - } - - self.write_inner()?.with_padding(Some(params)); - - Ok(()) - } - - /// Disable padding - #[pyo3(text_signature = "(self)")] - fn no_padding(&self) -> PyResult<()> { - self.write_inner()?.with_padding(None); - Ok(()) - } - - /// Get the current padding parameters - /// - /// `Cannot be set, use` :meth:`~tokenizers.Tokenizer.enable_padding` `instead` + /// sequence (:obj:`str`): The sequence to encode. + /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): Whether to add the special + /// tokens. /// /// Returns: - /// (:obj:`dict`, `optional`): - /// A dict with the current padding parameters if padding is enabled - #[getter] - fn get_padding<'py>(&self, py: Python<'py>) -> PyResult>> { - self.tokenizer - .read() - .unwrap() - .get_padding() - .map_or(Ok(None), |params| { - let dict = PyDict::new(py); - - dict.set_item( - "length", - match params.strategy { - tk::PaddingStrategy::BatchLongest => None, - tk::PaddingStrategy::Fixed(size) => Some(size), - }, - )?; - dict.set_item("pad_to_multiple_of", params.pad_to_multiple_of)?; - dict.set_item("pad_id", params.pad_id)?; - dict.set_item("pad_token", ¶ms.pad_token)?; - dict.set_item("pad_type_id", params.pad_type_id)?; - dict.set_item("direction", params.direction.as_ref())?; - - Ok(Some(dict)) - }) - } - - /// Encode the given sequence and pair. This method can process raw text sequences - /// as well as already pre-tokenized sequences. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// encode("A single sequence")` - /// encode("A sequence", "And its pair")` - /// encode([ "A", "pre", "tokenized", "sequence" ], is_pretokenized=True)` - /// encode( - /// [ "A", "pre", "tokenized", "sequence" ], [ "And", "its", "pair" ], - /// is_pretokenized=True - /// ) - /// - /// Args: - /// sequence (:obj:`~tokenizers.InputSequence`): - /// The main input sequence we want to encode. This sequence can be either raw - /// text or pre-tokenized, according to the ``is_pretokenized`` argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextInputSequence` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedInputSequence` - /// - /// pair (:obj:`~tokenizers.InputSequence`, `optional`): - /// An optional input sequence. The expected format is the same that for ``sequence``. - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// :class:`~tokenizers.Encoding`: The encoded result - /// - #[pyo3(signature = (sequence, pair = None, is_pretokenized = false, add_special_tokens = true) -> "Encoding")] - #[pyo3( - text_signature = "(self, sequence, pair=None, is_pretokenized=False, add_special_tokens=True)" - )] - fn encode( - &self, - sequence: &Bound<'_, PyAny>, - pair: Option<&Bound<'_, PyAny>>, - is_pretokenized: bool, - add_special_tokens: bool, - ) -> PyResult { - let sequence: tk::InputSequence = if is_pretokenized { - sequence.extract::()?.into() - } else { - sequence.extract::()?.into() - }; - let input = match pair { - Some(pair) => { - let pair: tk::InputSequence = if is_pretokenized { - pair.extract::()?.into() - } else { - pair.extract::()?.into() - }; - tk::EncodeInput::Dual(sequence, pair) - } - None => tk::EncodeInput::Single(sequence), - }; - - ToPyResult( - self.tokenizer - .read() - .unwrap() - .encode_char_offsets(input, add_special_tokens) - .map(|e| e.into()), - ) - .into() - } - - /// Asynchronously encode the given input with character offsets. - /// - /// This is an async version of encode that can be awaited in async Python code. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// await async_encode("A single sequence") - /// - /// Args: - /// sequence (:obj:`~tokenizers.InputSequence`): - /// The main input sequence we want to encode. This sequence can be either raw - /// text or pre-tokenized, according to the ``is_pretokenized`` argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextInputSequence` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedInputSequence` - /// - /// pair (:obj:`~tokenizers.InputSequence`, `optional`): - /// An optional input sequence. The expected format is the same that for ``sequence``. - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// :class:`~tokenizers.Encoding`: The encoded result - /// - #[pyo3(signature = (sequence, pair = None, is_pretokenized = false, add_special_tokens = true))] - #[pyo3( - text_signature = "(self, sequence, pair=None, is_pretokenized=False, add_special_tokens=True)" - )] - fn async_encode<'py>( - &self, - py: Python<'py>, - sequence: &Bound<'_, PyAny>, - pair: Option<&Bound<'_, PyAny>>, - is_pretokenized: bool, - add_special_tokens: bool, - ) -> PyResult> { - // Extract and fully own the inputs before leaving the GIL/thread - let input = Self::build_single_owned_encode_input(sequence, pair, is_pretokenized)?; - - let tokenizer = self.read_inner()?.clone(); - let rt = crate::TOKIO_RUNTIME.clone(); - - let fut = py.detach(|| async move { - rt.spawn_blocking(move || { - tokenizer - .encode(input, add_special_tokens) - .map(PyEncoding::from) - }) - .await - .unwrap() - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - }); - - pyo3_async_runtimes::tokio::future_into_py(py, fut) - } - - /// Encode the given batch of inputs. This method accept both raw text sequences - /// as well as already pre-tokenized sequences. The reason we use `PySequence` is - /// because it allows type checking with zero-cost (according to PyO3) as we don't - /// have to convert to check. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// encode_batch([ - /// "A single sequence", - /// ("A tuple with a sequence", "And its pair"), - /// [ "A", "pre", "tokenized", "sequence" ], - /// ([ "A", "pre", "tokenized", "sequence" ], "And its pair") - /// ]) - /// - /// Args: - /// input (A :obj:`List`/:obj:`Tuple` of :obj:`~tokenizers.EncodeInput`): - /// A list of single sequences or pair sequences to encode. Each sequence - /// can be either raw text or pre-tokenized, according to the ``is_pretokenized`` - /// argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextEncodeInput` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedEncodeInput` - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// A :obj:`List` of :class:`~tokenizers.Encoding`: The encoded batch - /// - #[pyo3(signature = (input, is_pretokenized = false, add_special_tokens = true) -> "list[Encoding]")] - #[pyo3(text_signature = "(self, input, is_pretokenized=False, add_special_tokens=True)")] + /// :obj:`list[int]`: The token ids. + #[pyo3(signature = (sequence, add_special_tokens = true) -> "list[int]")] + #[pyo3(text_signature = "(self, sequence, add_special_tokens=True)")] + fn encode(&self, sequence: &str, add_special_tokens: bool) -> PyResult> { + let pipeline = self.build_pipeline()?; + let tokens = pipeline + .encode(sequence, add_special_tokens) + .map_err(|e| exceptions::PyException::new_err(e.to_string()))?; + Ok(tokens.into_iter().map(|t| t.id).collect()) + } + + /// Encode a batch of sequences into token ids. + #[pyo3(signature = (input, add_special_tokens = true) -> "list[list[int]]")] + #[pyo3(text_signature = "(self, input, add_special_tokens=True)")] fn encode_batch( &self, py: Python<'_>, - input: Vec>, - is_pretokenized: bool, - add_special_tokens: bool, - ) -> PyResult> { - let mut items = Vec::::with_capacity(input.len()); - for item in &input { - let item: tk::EncodeInput = if is_pretokenized { - item.extract::()?.into() - } else { - item.extract::()?.into() - }; - items.push(item); - } - py.detach(|| { - ToPyResult( - self.tokenizer - .read() - .unwrap() - .encode_batch_char_offsets(items, add_special_tokens) - .map(|encodings| encodings.into_iter().map(|e| e.into()).collect()), - ) - .into() - }) - } - /// Asynchronously encode the given batch of inputs with character offsets. - /// - /// This is an async version of encode_batch that can be awaited in async Python code. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// await async_encode_batch([ - /// "A single sequence", - /// ("A tuple with a sequence", "And its pair"), - /// [ "A", "pre", "tokenized", "sequence" ], - /// ([ "A", "pre", "tokenized", "sequence" ], "And its pair") - /// ]) - /// - /// Args: - /// input (A :obj:`List`/:obj:`Tuple` of :obj:`~tokenizers.EncodeInput`): - /// A list of single sequences or pair sequences to encode. Each sequence - /// can be either raw text or pre-tokenized, according to the ``is_pretokenized`` - /// argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextEncodeInput` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedEncodeInput` - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// A :obj:`List` of :class:`~tokenizers.Encoding`: The encoded batch - /// - #[pyo3(name = "async_encode_batch", signature = (input, is_pretokenized = false, add_special_tokens = true))] - #[pyo3(text_signature = "(self, input, is_pretokenized=False, add_special_tokens=True)")] - fn async_encode_batch<'py>( - &self, - py: Python<'py>, - input: Vec>, - is_pretokenized: bool, - add_special_tokens: bool, - ) -> PyResult> { - // Fully own the inputs before leaving the GIL/thread - let owned_items = Self::build_owned_encode_inputs(&input, is_pretokenized)?; - - let tokenizer = self.read_inner()?.clone(); - let rt = crate::TOKIO_RUNTIME.clone(); - - let fut = py.detach(|| async move { - rt.spawn_blocking(move || { - tokenizer - .encode_batch_char_offsets(owned_items, add_special_tokens) - .map(|encs| encs.into_iter().map(PyEncoding::from).collect::>()) - }) - .await - .unwrap() - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - }); - - pyo3_async_runtimes::tokio::future_into_py(py, fut) - } - - /// Encode the given batch of inputs. This method is faster than `encode_batch` - /// because it doesn't keep track of offsets, they will be all zeros. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// encode_batch_fast([ - /// "A single sequence", - /// ("A tuple with a sequence", "And its pair"), - /// [ "A", "pre", "tokenized", "sequence" ], - /// ([ "A", "pre", "tokenized", "sequence" ], "And its pair") - /// ]) - /// - /// Args: - /// input (A :obj:`List`/:obj:`Tuple` of :obj:`~tokenizers.EncodeInput`): - /// A list of single sequences or pair sequences to encode. Each sequence - /// can be either raw text or pre-tokenized, according to the ``is_pretokenized`` - /// argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextEncodeInput` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedEncodeInput` - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// A :obj:`List` of :class:`~tokenizers.Encoding`: The encoded batch - /// - #[pyo3(signature = (input, is_pretokenized = false, add_special_tokens = true) -> "list[Encoding]")] - #[pyo3(text_signature = "(self, input, is_pretokenized=False, add_special_tokens=True)")] - fn encode_batch_fast( - &self, - py: Python<'_>, - input: Vec>, - is_pretokenized: bool, + input: Vec, add_special_tokens: bool, - ) -> PyResult> { - let mut items = Vec::::with_capacity(input.len()); - for item in &input { - let item: tk::EncodeInput = if is_pretokenized { - item.extract::()?.into() - } else { - item.extract::()?.into() - }; - items.push(item); - } + ) -> PyResult>> { + let pipeline = self.build_pipeline()?; py.detach(|| { - ToPyResult( - self.tokenizer - .read() - .unwrap() - .encode_batch_fast(items, add_special_tokens) - .map(|encodings| encodings.into_iter().map(|e| e.into()).collect()), - ) - .into() - }) - } - - /// Asynchronously encode the given batch of inputs without tracking character offsets. - /// - /// This is an async version of encode_batch_fast that can be awaited in async Python code. - /// - /// Example: - /// Here are some examples of the inputs that are accepted:: - /// - /// await async_encode_batch_fast([ - /// "A single sequence", - /// ("A tuple with a sequence", "And its pair"), - /// [ "A", "pre", "tokenized", "sequence" ], - /// ([ "A", "pre", "tokenized", "sequence" ], "And its pair") - /// ]) - /// - /// Args: - /// input (A :obj:`List`/:obj:`Tuple` of :obj:`~tokenizers.EncodeInput`): - /// A list of single sequences or pair sequences to encode. Each sequence - /// can be either raw text or pre-tokenized, according to the ``is_pretokenized`` - /// argument: - /// - /// - If ``is_pretokenized=False``: :class:`~tokenizers.TextEncodeInput` - /// - If ``is_pretokenized=True``: :class:`~tokenizers.PreTokenizedEncodeInput` - /// - /// is_pretokenized (:obj:`bool`, defaults to :obj:`False`): - /// Whether the input is already pre-tokenized - /// - /// add_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether to add the special tokens - /// - /// Returns: - /// A :obj:`List` of :class:`~tokenizers.Encoding`: The encoded batch - /// - #[pyo3(name = "async_encode_batch_fast", signature = (input, is_pretokenized = false, add_special_tokens = true))] - #[pyo3(text_signature = "(self, input, is_pretokenized=False, add_special_tokens=True)")] - fn async_encode_batch_fast<'py>( - &self, - py: Python<'py>, - input: Vec>, - is_pretokenized: bool, - add_special_tokens: bool, - ) -> PyResult> { - let owned_items = Self::build_owned_encode_inputs(&input, is_pretokenized)?; - - let tokenizer = self.read_inner()?.clone(); - let rt = crate::TOKIO_RUNTIME.clone(); - let fut = py.detach(|| async move { - let result = rt - .spawn_blocking(move || { - tokenizer - .encode_batch_fast(owned_items, add_special_tokens) - .map(|encs| encs.into_iter().map(PyEncoding::from).collect::>()) + input + .iter() + .map(|sequence| { + pipeline + .encode(sequence, add_special_tokens) + .map(|tokens| tokens.into_iter().map(|t| t.id).collect()) + .map_err(|e| exceptions::PyException::new_err(e.to_string())) }) - .await - .unwrap(); - - // Convert to a Python object directly rather than going through ToPyResult - match result { - Ok(encodings) => Python::attach(|py| encodings.into_py_any(py)), - Err(e) => Err(exceptions::PyException::new_err(e.to_string())), - } - }); - - pyo3_async_runtimes::tokio::future_into_py(py, fut) - } - - /// Decode the given list of ids back to a string - /// - /// This is used to decode anything coming back from a Language Model - /// - /// Args: - /// ids (A :obj:`List/Tuple` of :obj:`int`): - /// The list of ids that we want to decode - /// - /// skip_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether the special tokens should be removed from the decoded string - /// - /// Returns: - /// :obj:`str`: The decoded string - #[pyo3(signature = (ids, skip_special_tokens = true) -> "str")] - #[pyo3(text_signature = "(self, ids, skip_special_tokens=True)")] - fn decode(&self, ids: Vec, skip_special_tokens: bool) -> PyResult { - ToPyResult( - self.tokenizer - .read() - .unwrap() - .decode(&ids, skip_special_tokens), - ) - .into() - } - - /// Decode a batch of ids back to their corresponding string - /// - /// Args: - /// sequences (:obj:`List` of :obj:`List[int]`): - /// The batch of sequences we want to decode - /// - /// skip_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether the special tokens should be removed from the decoded strings - /// - /// Returns: - /// :obj:`List[str]`: A list of decoded strings - #[pyo3(signature = (sequences, skip_special_tokens = true) -> "list[str]")] - #[pyo3(text_signature = "(self, sequences, skip_special_tokens=True)")] - fn decode_batch( - &self, - py: Python<'_>, - sequences: Vec>, - skip_special_tokens: bool, - ) -> PyResult> { - py.detach(|| { - let slices = sequences.iter().map(|v| &v[..]).collect::>(); - ToPyResult( - self.tokenizer - .read() - .unwrap() - .decode_batch(&slices, skip_special_tokens), - ) - .into() + .collect() }) } - /// Decode a batch of ids back to their corresponding string - /// - /// Args: - /// sequences (:obj:`List` of :obj:`List[int]`): - /// The batch of sequences we want to decode - /// - /// skip_special_tokens (:obj:`bool`, defaults to :obj:`True`): - /// Whether the special tokens should be removed from the decoded strings - /// - /// Returns: - /// :obj:`List[str]`: A list of decoded strings - #[pyo3(name = "async_decode_batch", signature = (sequences, skip_special_tokens = true))] - #[pyo3(text_signature = "(self, sequences, skip_special_tokens=True)")] - fn async_decode_batch<'py>( - &self, - py: Python<'py>, - sequences: Vec>, - skip_special_tokens: bool, - ) -> PyResult> { - let tokenizer = self.read_inner()?.clone(); - let rt = crate::TOKIO_RUNTIME.clone(); - - let fut = py.detach(|| async move { - rt.spawn_blocking(move || { - let slices = sequences.iter().map(|v| &v[..]).collect::>(); - tokenizer.decode_batch(&slices, skip_special_tokens) - }) - .await - .unwrap() - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - }); - - pyo3_async_runtimes::tokio::future_into_py(py, fut) - } - /// Convert the given token to its corresponding id if it exists - /// - /// Args: - /// token (:obj:`str`): - /// The token to convert - /// - /// Returns: - /// :obj:`Optional[int]`: An optional id, :obj:`None` if out of vocabulary #[pyo3(signature = (token) -> "int | None", text_signature = "(self, token)")] fn token_to_id(&self, token: &str) -> PyResult> { Ok(self.read_inner()?.token_to_id(token)) } /// Convert the given id to its corresponding token if it exists - /// - /// Args: - /// id (:obj:`int`): - /// The id to convert - /// - /// Returns: - /// :obj:`Optional[str]`: An optional token, :obj:`None` if out of vocabulary #[pyo3(signature = (id) -> "str | None", text_signature = "(self, id)")] fn id_to_token(&self, id: u32) -> PyResult> { Ok(self.read_inner()?.id_to_token(id)) } - /// Modifies the tokenizer in order to use or not the special tokens - /// during encoding. - /// - /// Args: - /// value (:obj:`bool`): - /// Whether to use the special tokens or not - /// + /// Modifies the tokenizer in order to use or not the special tokens during encoding. #[setter] - fn set_encode_special_tokens(&self, value: bool) { - self.tokenizer - .write() - .unwrap() - .set_encode_special_tokens(value); + fn set_encode_special_tokens(&self, value: bool) -> PyResult<()> { + self.write_inner()?.set_encode_special_tokens(value); + Ok(()) } + /// Get the value of the `encode_special_tokens` attribute - /// - /// Returns: - /// :obj:`bool`: the tokenizer's encode_special_tokens attribute #[getter] fn get_encode_special_tokens(&self) -> PyResult { Ok(self.read_inner()?.get_encode_special_tokens()) } + /// Add the given tokens to the vocabulary - /// - /// The given tokens are added only if they don't already exist in the vocabulary. - /// Each token then gets a new attributed id. - /// - /// Args: - /// tokens (A :obj:`List` of :class:`~tokenizers.AddedToken` or :obj:`str`): - /// The list of tokens we want to add to the vocabulary. Each token can be either a - /// string or an instance of :class:`~tokenizers.AddedToken` for more customization. - /// - /// Returns: - /// :obj:`int`: The number of tokens that were created in the vocabulary #[pyo3(text_signature = "(self, tokens)")] fn add_tokens(&self, tokens: &Bound<'_, PyList>) -> PyResult { let tokens = tokens @@ -1696,21 +582,6 @@ impl PyTokenizer { } /// Add the given special tokens to the Tokenizer. - /// - /// If these tokens are already part of the vocabulary, it just let the Tokenizer know about - /// them. If they don't exist, the Tokenizer creates them, giving them a new id. - /// - /// These special tokens will never be processed by the model (ie won't be split into - /// multiple tokens), and they can be removed from the output when decoding. - /// - /// Args: - /// tokens (A :obj:`List` of :class:`~tokenizers.AddedToken` or :obj:`str`): - /// The list of special tokens we want to add to the vocabulary. Each token can either - /// be a string or an instance of :class:`~tokenizers.AddedToken` for more - /// customization. - /// - /// Returns: - /// :obj:`int`: The number of tokens that were created in the vocabulary #[pyo3(text_signature = "(self, tokens)")] fn add_special_tokens(&self, tokens: &Bound<'_, PyList>) -> PyResult { let tokens = tokens @@ -1732,156 +603,10 @@ impl PyTokenizer { ToPyResult(self.write_inner()?.add_special_tokens(tokens)).into() } - /// Train the Tokenizer using the given files. - /// - /// Reads the files line by line, while keeping all the whitespace, even new lines. - /// If you want to train from data store in-memory, you can check - /// :meth:`~tokenizers.Tokenizer.train_from_iterator` - /// - /// Args: - /// files (:obj:`List[str]`): - /// A list of path to the files that we should use for training - /// - /// trainer (:obj:`~tokenizers.trainers.Trainer`, `optional`): - /// An optional trainer that should be used to train our Model - #[pyo3(signature = (files, trainer = None))] - #[pyo3(text_signature = "(self, files, trainer = None)")] - fn train(&self, files: Vec, trainer: Option<&mut PyTrainer>) -> PyResult<()> { - let mut trainer = match trainer { - Some(t) => t.clone(), - None => self.read_inner()?.get_model().get_trainer(), - }; - Python::attach(|py| { - py.detach(|| { - ToPyResult( - self.write_inner()? - .train_from_files(&mut trainer, files) - .map(|_| {}), - ) - .into() - }) - }) - } - - /// Train the Tokenizer using the provided iterator. - /// - /// You can provide anything that is a Python Iterator - /// - /// * A list of sequences :obj:`List[str]` - /// * A generator that yields :obj:`str` or :obj:`List[str]` - /// * A Numpy array of strings - /// * ... - /// - /// Args: - /// iterator (:obj:`Iterator`): - /// Any iterator over strings or list of strings - /// - /// trainer (:obj:`~tokenizers.trainers.Trainer`, `optional`): - /// An optional trainer that should be used to train our Model - /// - /// length (:obj:`int`, `optional`): - /// The total number of sequences in the iterator. This is used to - /// provide meaningful progress tracking - #[pyo3(signature = (iterator, trainer = None, length = None))] - #[pyo3(text_signature = "(self, iterator, trainer=None, length=None)")] - fn train_from_iterator( - &self, - py: Python, - iterator: &Bound<'_, PyAny>, - trainer: Option<&mut PyTrainer>, - length: Option, - ) -> PyResult<()> { - let mut trainer = match trainer { - Some(t) => t.clone(), - None => self.read_inner()?.get_model().get_trainer(), - }; - - let buffered_iter = PyBufferedIterator::new( - iterator, - |element| { - // Each element of the iterator can either be: - // - An iterator, to allow batching - // - A string - if let Ok(s) = element.cast::() { - itertools::Either::Right(std::iter::once(s.to_cow().map(|s| s.into_owned()))) - } else { - match element.try_iter() { - Ok(iter) => itertools::Either::Left( - iter.map(|i| i?.extract::()) - .collect::>() - .into_iter(), - ), - Err(e) => itertools::Either::Right(std::iter::once(Err(e))), - } - } - }, - 256, - )?; - - py.detach(|| { - ResultShunt::process(buffered_iter, |iter| { - self.tokenizer - .write() - .unwrap() - .train(&mut trainer, MaybeSizedIterator::new(iter, length)) - .map(|_| {}) - .map_err(|e| exceptions::PyException::new_err(e.to_string())) - })? - }) - } - - /// Apply all the post-processing steps to the given encodings. - /// - /// The various steps are: - /// - /// 1. Truncate according to the set truncation params (provided with - /// :meth:`~tokenizers.Tokenizer.enable_truncation`) - /// 2. Apply the :class:`~tokenizers.processors.PostProcessor` - /// 3. Pad according to the set padding params (provided with - /// :meth:`~tokenizers.Tokenizer.enable_padding`) - /// - /// Args: - /// encoding (:class:`~tokenizers.Encoding`): - /// The :class:`~tokenizers.Encoding` corresponding to the main sequence. - /// - /// pair (:class:`~tokenizers.Encoding`, `optional`): - /// An optional :class:`~tokenizers.Encoding` corresponding to the pair sequence. - /// - /// add_special_tokens (:obj:`bool`): - /// Whether to add the special tokens - /// - /// Returns: - /// :class:`~tokenizers.Encoding`: The final post-processed encoding - #[pyo3(signature = (encoding, pair = None, add_special_tokens = true))] - #[pyo3(text_signature = "(self, encoding, pair=None, add_special_tokens=True)")] - fn post_process( - &self, - encoding: &PyEncoding, - pair: Option<&PyEncoding>, - add_special_tokens: bool, - ) -> PyResult { - ToPyResult( - self.tokenizer - .read() - .unwrap() - .post_process( - encoding.encoding.clone(), - pair.map(|p| p.encoding.clone()), - add_special_tokens, - ) - .map(|e| e.into()), - ) - .into() - } - /// The :class:`~tokenizers.models.Model` in use by the Tokenizer #[getter] fn get_model(&self, py: Python<'_>) -> PyResult> { - self.tokenizer - .read() - .unwrap() - .get_model() - .get_as_subtype(py) + self.read_inner()?.get_model().get_as_subtype(py) } /// Set the :class:`~tokenizers.models.Model` @@ -1906,9 +631,7 @@ impl PyTokenizer { fn set_normalizer(&self, normalizer: Option>) -> PyResult<()> { let normalizer_option = normalizer.map(|norm| norm.clone()); ToPyResult( - self.tokenizer - .write() - .unwrap() + self.write_inner()? .with_normalizer(normalizer_option) .map(|_| ()), ) @@ -1925,94 +648,11 @@ impl PyTokenizer { } } - /// Set the :class:`~tokenizers.normalizers.Normalizer` + /// Set the :class:`~tokenizers.pre_tokenizers.PreTokenizer` #[setter] - fn set_pre_tokenizer(&self, pretok: Option>) { - self.tokenizer - .write() - .unwrap() + fn set_pre_tokenizer(&self, pretok: Option>) -> PyResult<()> { + self.write_inner()? .with_pre_tokenizer(pretok.map(|pre| pre.clone())); - } - - /// The `optional` :class:`~tokenizers.processors.PostProcessor` in use by the Tokenizer - #[getter] - fn get_post_processor(&self, py: Python<'_>) -> PyResult> { - if let Some(n) = self.read_inner()?.get_post_processor() { - n.get_as_subtype(py) - } else { - Ok(py.None()) - } - } - - /// Set the :class:`~tokenizers.processors.PostProcessor` - #[setter] - fn set_post_processor(&self, processor: Option>) { - self.tokenizer - .write() - .unwrap() - .with_post_processor(processor.map(|p| p.clone())); - } - - /// The `optional` :class:`~tokenizers.decoders.Decoder` in use by the Tokenizer - #[getter] - fn get_decoder(&self, py: Python<'_>) -> PyResult> { - if let Some(dec) = self.read_inner()?.get_decoder() { - dec.get_as_subtype(py) - } else { - Ok(py.None()) - } - } - - /// Set the :class:`~tokenizers.decoders.Decoder` - #[setter] - fn set_decoder(&self, decoder: Option>) { - self.tokenizer - .write() - .unwrap() - .with_decoder(decoder.map(|d| d.clone())); - } -} - -#[cfg(test)] -mod test { - use super::*; - use crate::models::PyModel; - use crate::normalizers::{PyNormalizer, PyNormalizerTypeWrapper}; - use std::sync::{Arc, RwLock}; - use tempfile::NamedTempFile; - use tk::normalizers::{Lowercase, NFKC}; - - #[test] - fn serialize() { - let mut tokenizer = Tokenizer::new(PyModel::from(BPE::default())); - tokenizer - .with_normalizer(Some(PyNormalizer::new(PyNormalizerTypeWrapper::Sequence( - vec![ - Arc::new(RwLock::new(NFKC.into())), - Arc::new(RwLock::new(Lowercase.into())), - ], - )))) - .unwrap(); - - let tmp = NamedTempFile::new().unwrap().into_temp_path(); - tokenizer.save(&tmp, false).unwrap(); - - Tokenizer::from_file(&tmp).unwrap(); - } - - #[test] - fn serde_pyo3() { - let mut tokenizer = Tokenizer::new(PyModel::from(BPE::default())); - tokenizer - .with_normalizer(Some(PyNormalizer::new(PyNormalizerTypeWrapper::Sequence( - vec![ - Arc::new(RwLock::new(NFKC.into())), - Arc::new(RwLock::new(Lowercase.into())), - ], - )))) - .unwrap(); - - let output = crate::utils::serde_pyo3::to_string(&tokenizer).unwrap(); - assert_eq!(output, "Tokenizer(version=\"1.0\", truncation=None, padding=None, added_tokens=[], normalizer=Sequence(normalizers=[NFKC(), Lowercase()]), pre_tokenizer=None, post_processor=None, decoder=None, model=BPE(dropout=None, unk_token=None, continuing_subword_prefix=None, end_of_word_suffix=None, fuse_unk=False, byte_fallback=False, ignore_merges=False, vocab={}, merges=[]))"); + Ok(()) } } diff --git a/bindings/python/src/utils/mod.rs b/bindings/python/src/utils/mod.rs index 21b3fc1e17..5947be1cf9 100644 --- a/bindings/python/src/utils/mod.rs +++ b/bindings/python/src/utils/mod.rs @@ -3,13 +3,10 @@ use std::sync::{Arc, Mutex}; mod iterators; mod normalization; -mod pretokenization; mod regex; pub mod serde_pyo3; -pub use iterators::*; pub use normalization::*; -pub use pretokenization::*; pub use regex::*; // RefMut utils diff --git a/bindings/python/src/utils/pretokenization.rs b/bindings/python/src/utils/pretokenization.rs deleted file mode 100644 index 22b8029ff4..0000000000 --- a/bindings/python/src/utils/pretokenization.rs +++ /dev/null @@ -1,335 +0,0 @@ -use tokenizers as tk; - -use pyo3::exceptions; -use pyo3::prelude::*; -use pyo3::types::*; - -use super::{ - DestroyPtr, PyNormalizedString, PyNormalizedStringRefMut, RefMutContainer, RefMutGuard, -}; -use crate::encoding::PyEncoding; -use crate::error::ToPyResult; -use crate::token::PyToken; -use tk::{OffsetReferential, OffsetType, Offsets, PreTokenizedString, Token}; - -fn split(pretok: &mut PreTokenizedString, func: &Bound<'_, PyAny>) -> PyResult<()> { - if !func.is_callable() { - Err(exceptions::PyTypeError::new_err( - "`split` expect a callable with the signature: \ - `fn(index: int, normalized: NormalizedString) -> List[NormalizedString]`", - )) - } else { - ToPyResult(pretok.split(|i, normalized| { - let output = func.call((i, PyNormalizedString::from(normalized)), None)?; - Ok(output - .extract::>()? - .into_iter() - .map(tk::NormalizedString::from)) - })) - .into() - } -} - -fn normalize(pretok: &mut PreTokenizedString, func: &Bound<'_, PyAny>) -> PyResult<()> { - if !func.is_callable() { - Err(exceptions::PyTypeError::new_err( - "`normalize` expect a callable with the signature: \ - `fn(normalized: NormalizedString)`", - )) - } else { - ToPyResult(pretok.normalize(|normalized| { - let norm = PyNormalizedStringRefMut::new(normalized); - func.call((norm.get().clone(),), None)?; - Ok(()) - })) - .into() - } -} - -fn tokenize(pretok: &mut PreTokenizedString, func: &Bound<'_, PyAny>) -> PyResult<()> { - if !func.is_callable() { - Err(exceptions::PyTypeError::new_err( - "`tokenize` expect a callable with the signature: \ - `fn(str) -> List[Token]`", - )) - } else { - ToPyResult(pretok.tokenize(|normalized| { - let output = func.call((normalized.get(),), None)?; - Ok(output - .extract::>() - .map_err(PyErr::from)? - .into_iter() - .map(|obj| Ok(Token::from(obj.extract::()?))) - .collect::>>()?) - })) - .into() - } -} - -/// This is an enum -#[derive(Clone)] -pub struct PyOffsetReferential(OffsetReferential); -impl<'a, 'py> FromPyObject<'a, 'py> for PyOffsetReferential { - type Error = PyErr; - - fn extract(obj: Borrowed<'a, 'py, PyAny>) -> Result { - let s = obj.extract::()?; - - Ok(Self(match s.as_ref() { - "original" => Ok(OffsetReferential::Original), - "normalized" => Ok(OffsetReferential::Normalized), - _ => Err(exceptions::PyValueError::new_err( - "Wrong value for OffsetReferential, expected one of `original, normalized`", - )), - }?)) - } -} - -#[derive(Clone)] -pub struct PyOffsetType(OffsetType); -impl<'a, 'py> FromPyObject<'a, 'py> for PyOffsetType { - type Error = PyErr; - - fn extract(obj: Borrowed<'a, 'py, PyAny>) -> Result { - let s = obj.extract::()?; - - Ok(Self(match s.as_ref() { - "byte" => Ok(OffsetType::Byte), - "char" => Ok(OffsetType::Char), - _ => Err(exceptions::PyValueError::new_err( - "Wrong value for OffsetType, expected one of `byte, char`", - )), - }?)) - } -} - -type PySplit = (String, Offsets, Option>); -fn get_splits( - pretok: &PreTokenizedString, - offset_referential: PyOffsetReferential, - offset_type: PyOffsetType, -) -> Vec { - pretok - .get_splits(offset_referential.0, offset_type.0) - .into_iter() - .map(|(s, o, t)| { - ( - s.to_owned(), - o, - t.as_ref() - .map(|tokens| tokens.iter().map(|t| t.clone().into()).collect()), - ) - }) - .collect() -} - -fn to_encoding( - pretok: &PreTokenizedString, - type_id: u32, - word_idx: Option, -) -> PyResult { - Ok(ToPyResult( - pretok - .clone() - .into_encoding(word_idx, type_id, tk::OffsetType::Char), - ) - .into_py()? - .into()) -} - -/// PreTokenizedString -/// -/// Wrapper over a string, that provides a way to normalize, pre-tokenize, tokenize the -/// underlying string, while keeping track of the alignment information (offsets). -/// -/// The PreTokenizedString manages what we call `splits`. Each split represents a substring -/// which is a subpart of the original string, with the relevant offsets and tokens. -/// -/// When calling one of the methods used to modify the PreTokenizedString (namely one of -/// `split`, `normalize` or `tokenize), only the `splits` that don't have any associated -/// tokens will get modified. -/// -/// Args: -/// sequence: str: -/// The string sequence used to initialize this PreTokenizedString -#[pyclass(module = "tokenizers", name = "PreTokenizedString")] -pub struct PyPreTokenizedString { - pub(crate) pretok: tk::PreTokenizedString, -} - -impl From for PyPreTokenizedString { - fn from(pretok: PreTokenizedString) -> Self { - Self { pretok } - } -} - -impl From for PreTokenizedString { - fn from(pretok: PyPreTokenizedString) -> Self { - pretok.pretok - } -} - -#[pymethods] -impl PyPreTokenizedString { - #[new] - #[pyo3(text_signature = "(self, sequence)")] - fn new(s: &str) -> Self { - PreTokenizedString::from(s).into() - } - - /// Split the PreTokenizedString using the given `func` - /// - /// Args: - /// func: Callable[[index, NormalizedString], List[NormalizedString]]: - /// The function used to split each underlying split. - /// It is expected to return a list of `NormalizedString`, that represent the new - /// splits. If the given `NormalizedString` does not need any splitting, we can - /// just return it directly. - /// In order for the offsets to be tracked accurately, any returned `NormalizedString` - /// should come from calling either `.split` or `.slice` on the received one. - #[pyo3(text_signature = "(self, func)")] - fn split(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - split(&mut self.pretok, func) - } - - /// Normalize each split of the `PreTokenizedString` using the given `func` - /// - /// Args: - /// func: Callable[[NormalizedString], None]: - /// The function used to normalize each underlying split. This function - /// does not need to return anything, just calling the methods on the provided - /// NormalizedString allow its modification. - #[pyo3(text_signature = "(self, func)")] - fn normalize(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - normalize(&mut self.pretok, func) - } - - /// Tokenize each split of the `PreTokenizedString` using the given `func` - /// - /// Args: - /// func: Callable[[str], List[Token]]: - /// The function used to tokenize each underlying split. This function must return - /// a list of Token generated from the input str. - #[pyo3(text_signature = "(self, func)")] - fn tokenize(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - tokenize(&mut self.pretok, func) - } - - /// Return an Encoding generated from this PreTokenizedString - /// - /// Args: - /// type_id: int = 0: - /// The type_id to be used on the generated Encoding. - /// - /// word_idx: Optional[int] = None: - /// An optional word index to be used for each token of this Encoding. If provided, - /// all the word indices in the generated Encoding will use this value, instead - /// of the one automatically tracked during pre-tokenization. - /// - /// Returns: - /// An Encoding - #[pyo3(signature = (type_id = 0, word_idx = None) -> "Encoding")] - #[pyo3(text_signature = "(self, type_id=0, word_idx=None)")] - fn to_encoding(&self, type_id: u32, word_idx: Option) -> PyResult { - to_encoding(&self.pretok, type_id, word_idx) - } - - /// Get the splits currently managed by the PreTokenizedString - /// - /// Args: - /// offset_referential: :obj:`str` - /// Whether the returned splits should have offsets expressed relative - /// to the original string, or the normalized one. choices: "original", "normalized". - /// - /// offset_type: :obj:`str` - /// Whether the returned splits should have offsets expressed in bytes or chars. - /// When slicing an str, we usually want to use chars, which is the default value. - /// Now in some cases it might be interesting to get these offsets expressed in bytes, - /// so it is possible to change this here. - /// choices: "char", "bytes" - /// - /// Returns - /// A list of splits - #[pyo3(signature = ( - offset_referential = PyOffsetReferential(OffsetReferential::Original), - offset_type = PyOffsetType(OffsetType::Char) - ))] - #[pyo3(text_signature = "(self, offset_referential=\"original\", offset_type=\"char\")")] - fn get_splits( - &self, - offset_referential: PyOffsetReferential, - offset_type: PyOffsetType, - ) -> Vec { - get_splits(&self.pretok, offset_referential, offset_type) - } -} - -#[pyclass(module = "tokenizers", name = "PreTokenizedString", from_py_object)] -#[derive(Clone)] -pub struct PyPreTokenizedStringRefMut { - inner: RefMutContainer, -} - -impl DestroyPtr for PyPreTokenizedStringRefMut { - fn destroy(&mut self) { - self.inner.destroy(); - } -} - -impl PyPreTokenizedStringRefMut { - pub fn new(pretok: &mut tk::PreTokenizedString) -> RefMutGuard<'_, Self> { - // SAFETY: This is safe because we return a RefMutGuard here. - // The compiler will make sure the &mut stays valid as necessary. - RefMutGuard::new(Self { - inner: RefMutContainer::new(pretok), - }) - } - - pub fn destroyed_error() -> PyErr { - exceptions::PyException::new_err( - "Cannot use a PreTokenizedStringRefMut outside `pre_tokenize`", - ) - } -} - -#[pymethods] -impl PyPreTokenizedStringRefMut { - fn split(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - self.inner - .map_mut(|pretok| split(pretok, func)) - .ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)? - } - - fn normalize(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - self.inner - .map_mut(|pretok| normalize(pretok, func)) - .ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)? - } - - fn tokenize(&mut self, func: &Bound<'_, PyAny>) -> PyResult<()> { - self.inner - .map_mut(|pretok| tokenize(pretok, func)) - .ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)? - } - - #[pyo3(signature = (type_id = 0, word_idx = None))] - fn to_encoding(&self, type_id: u32, word_idx: Option) -> PyResult { - self.inner - .map(|pretok| to_encoding(pretok, type_id, word_idx)) - .ok_or_else(PyPreTokenizedStringRefMut::destroyed_error)? - } - - #[pyo3(signature = ( - offset_referential = PyOffsetReferential(OffsetReferential::Original), - offset_type = PyOffsetType(OffsetType::Char) - ))] - fn get_splits( - &self, - offset_referential: PyOffsetReferential, - offset_type: PyOffsetType, - ) -> PyResult> { - self.inner - .map(|pretok| get_splits(pretok, offset_referential, offset_type)) - .ok_or_else(PyPreTokenizedStringRefMut::destroyed_error) - } -} diff --git a/tokenizers/Cargo.lock b/tokenizers/Cargo.lock index 4e5a39e843..b795a4e483 100644 --- a/tokenizers/Cargo.lock +++ b/tokenizers/Cargo.lock @@ -31,12 +31,6 @@ dependencies = [ "memchr", ] -[[package]] -name = "allocator-api2" -version = "0.2.21" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "683d7910e743518b0e34f1186f92494becacb047c7b6bf616c96772180fef923" - [[package]] name = "anes" version = "0.1.6" @@ -336,15 +330,6 @@ version = "1.1.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "c8d4a3bb8b1e0c1050499d1815f5ab16d04f0959b233085fb31653fbfc9d98f9" -[[package]] -name = "colored" -version = "3.1.1" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "faf9468729b8cbcea668e36183cb69d317348c2e08e994829fb56ebfdfbaac34" -dependencies = [ - "windows-sys 0.61.2", -] - [[package]] name = "compact_str" version = "0.9.1" @@ -501,9 +486,9 @@ checksum = "6f55d7153ba3b507595872a3874803f07a8a81d1e888abed8e5db7da0597d6e2" [[package]] name = "daachorse" -version = "3.0.2" +version = "3.0.3" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "99251f238b74cd219a86fe6ea9328308ebb223fcbb5b8eb5aa400b847a41dded" +checksum = "5614204febbc33cc07a2806aa6440b904ac012b68eecc37f4493ea4a76455a3d" [[package]] name = "darling" @@ -624,12 +609,6 @@ version = "1.0.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "34aa73646ffb006b8f5147f3dc182bd4bcb190227ce861fc4a4844bf8e3cb2c0" -[[package]] -name = "equivalent" -version = "1.0.2" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f" - [[package]] name = "errno" version = "0.3.14" @@ -699,12 +678,6 @@ version = "1.0.7" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "3f9eec918d3f24069decb9af1554cad7c880e2da24a9afd88aca000531ab82c1" -[[package]] -name = "foldhash" -version = "0.2.0" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "77ce24cb58228fbb8aa041425bb1050850ac19177686ea6e0f41a70416f56fdb" - [[package]] name = "form_urlencoded" version = "1.2.2" @@ -845,17 +818,6 @@ dependencies = [ "zerocopy", ] -[[package]] -name = "hashbrown" -version = "0.16.1" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "841d1cc9bed7f9236f321df977030373f4a4163ae1a7dbfe1a51a2c1a51d9100" -dependencies = [ - "allocator-api2", - "equivalent", - "foldhash", -] - [[package]] name = "hermit-abi" version = "0.5.2" @@ -1300,28 +1262,6 @@ version = "0.2.2" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "670fdfda89751bc4a84ac13eaa63e205cf0fd22b4c9a5fbfa085b63c1f1d3a30" -[[package]] -name = "mem_dbg" -version = "0.4.3" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "f4ef2d80bfa14894b6d5a3ff537e7e9a908dbf4c95de8a5b8ad2a473301676e6" -dependencies = [ - "bitflags", - "hashbrown", - "mem_dbg-derive", -] - -[[package]] -name = "mem_dbg-derive" -version = "0.3.3" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "73acd151c6ce84a41d8d6fb0958d9a3d5a18d649ad5a85ad5b719439af8ad257" -dependencies = [ - "proc-macro2", - "quote", - "syn", -] - [[package]] name = "memchr" version = "2.8.2" @@ -1590,23 +1530,18 @@ dependencies = [ [[package]] name = "ptr_hash" version = "2.0.1" -source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "a847c2cc746ab2aeba36aad3e75fc417b47539603298c12d8373e388890aad3c" dependencies = [ "bitvec", - "colored", "fastrand", "fxhash", "itertools 0.15.0", "log", - "mem_dbg", "prefetch-index", "rand 0.10.2", "rand_chacha 0.10.0", "rayon", "rdst", "serde", - "tempfile", "xxhash-rust", ] @@ -2272,21 +2207,17 @@ dependencies = [ "ahash", "assert_approx_eq", "atomsplit", - "compact_str", "criterion 0.6.0", - "daachorse 3.0.2", + "daachorse 3.0.3", "dary_heap", - "derive_builder", "fancy-regex 0.17.0", "getrandom 0.3.4", "hf-hub", "indicatif 0.18.5", - "itertools 0.14.0", "log", "logos", "macro_rules_attribute", "memchr", - "monostate", "onig", "paste", "pcre2", diff --git a/tokenizers/Cargo.toml b/tokenizers/Cargo.toml index affb24158e..fd127c1205 100644 --- a/tokenizers/Cargo.toml +++ b/tokenizers/Cargo.toml @@ -107,6 +107,21 @@ lto = "fat" inherits = "release" debug = true +# Size-optimized "thin" release for on-device footprint experiments: opt-for-size, +# single codegen unit (better cross-fn dedup), abort-on-panic (drops unwind tables), +# and stripped. Inherits `lto = "fat"` from release. Build: `cargo build --profile thin`. +[profile.thin] +inherits = "release" +opt-level = "z" +codegen-units = 1 +panic = "abort" +strip = true + +# Slimmed vendored ptr_hash: identical MPHF, minus the non-optional colored/mem_dbg/tempfile deps +# (and their syn/quote/proc-macro2 chain) that upstream forces. See vendor/ptr_hash/Cargo.toml. +[patch.crates-io] +ptr_hash = { path = "vendor/ptr_hash" } + [[example]] name = "encode_batch" required-features = ["http"] diff --git a/tokenizers/src/lib.rs b/tokenizers/src/lib.rs index ab3334376b..ca0ce6702d 100644 --- a/tokenizers/src/lib.rs +++ b/tokenizers/src/lib.rs @@ -7,9 +7,9 @@ //! Starting with `0.23`, the implementation is split across two public crates (each built on internal //! engines — `tk_encode` on the `atomsplit` SIMD pre-tokenizer, and the shared `bitmap_gen` tables): //! -//! - [`tk_encode`] — inference: the model engines, the full pipeline components -//! ([`Normalizer`], [`PreTokenizer`], [`Model`], [`PostProcessor`], -//! [`Decoder`]) and the [`Tokenizer`] orchestration (encode / decode). +//! - [`tk_encode`] — inference: the model engines, the pipeline components +//! ([`Normalizer`], [`PreTokenizer`], [`Model`]) and the [`Tokenizer`] loader +//! that feeds the fast `PipelineTokenizer` encode path. //! - [`tk_train`] — training: the [`Trainer`] trait, every concrete `*Trainer`, //! and the [`TokenizerTrainExt`] extension that adds `train` / //! `train_from_files` onto a [`Tokenizer`]. @@ -18,24 +18,18 @@ //! `tokenizers::…` paths keep working. Training lives behind the (default-on) //! `train` feature; disable default features for an inference-only build. //! -//! ## Deserialization and tokenization example +//! ## Load and encode (pipeline) //! //! ```no_run -//! use tokenizers::tokenizer::{Result, Tokenizer, EncodeInput}; -//! use tokenizers::models::bpe::BPE; +//! use std::convert::TryFrom; +//! use tokenizers::tokenizer::{Result, Tokenizer}; +//! use tokenizers::tokenizer::pipeline::PipelineTokenizer; //! //! fn main() -> Result<()> { -//! let bpe_builder = BPE::from_file("./path/to/vocab.json", "./path/to/merges.txt"); -//! let bpe = bpe_builder -//! .dropout(0.1) -//! .unk_token("[UNK]".into()) -//! .build()?; -//! -//! let mut tokenizer = Tokenizer::new(bpe); -//! -//! let encoding = tokenizer.encode("Hey there!", false)?; -//! println!("{:?}", encoding.get_tokens()); -//! +//! let tok = Tokenizer::from_file("tokenizer.json")?; +//! let pipeline = PipelineTokenizer::try_from(&tok)?; +//! let ids = pipeline.encode("Hey there!", false)?; +//! println!("{:?}", ids.len()); //! Ok(()) //! } //! ``` @@ -43,7 +37,7 @@ // --------------------------------------------------------------------------- // Inference (always available) — re-exported from `tk-encode`. // --------------------------------------------------------------------------- -pub use tk_encode::{decoders, normalizers, pre_tokenizers, processors, tokenizer, utils}; +pub use tk_encode::{normalizers, pre_tokenizers, tokenizer, utils}; // Mirror the v1 top-level re-exports (`pub use tokenizer::*;` etc.). pub use tk_encode::tokenizer::*; diff --git a/tokenizers/tk-encode/Cargo.toml b/tokenizers/tk-encode/Cargo.toml index a946c1e1b5..178025e17a 100644 --- a/tokenizers/tk-encode/Cargo.toml +++ b/tokenizers/tk-encode/Cargo.toml @@ -38,23 +38,18 @@ unicode-normalization-alignments = "0.1" unicode_categories = "0.1" unicode-segmentation = "1.11" indicatif = { version = "0.18", optional = true } -itertools = "0.14" log = "0.4" -derive_builder = "0.20" spm_precompiled = "0.1.3" hf-hub = { version = "0.4.1", features = [ "ureq", ], default-features = false, optional = true } -daachorse = "3.0.0" paste = "1.0.14" macro_rules_attribute = "0.2.0" thiserror = "2" fancy-regex = { version = "0.17", optional = true } getrandom = { version = "0.3" } -monostate = "0.1.12" ahash = { version = "0.8.11", features = ["serde"] } dary_heap = { version = "0.3.6", features = ["serde"] } -compact_str = { version = "0.9", features = ["serde"] } ptr_hash = { version = "2.0.1", default-features = false } memchr = "2.8.2" unicode-normalization = "0.1.25" @@ -89,6 +84,8 @@ tempfile = "3.10" assert_approx_eq = "1.1" tracing = "0.1" tracing-subscriber = "0.3.18" +# Comparison baseline in the vocab/buckets special-token-matcher test only. +daachorse = "3.0.0" [[bench]] name = "pipeline_benchmark" diff --git a/tokenizers/tk-encode/examples/fixture_bench.rs b/tokenizers/tk-encode/examples/fixture_bench.rs index 0dcde13c28..a3cb327c97 100644 --- a/tokenizers/tk-encode/examples/fixture_bench.rs +++ b/tokenizers/tk-encode/examples/fixture_bench.rs @@ -667,7 +667,7 @@ fn logos_reference_ns(regexes: &[String], text: &str) -> Option { fn bench_model( baseline: Option<&BaselineTokenizer>, - oracle: &Tokenizer, + _oracle: &Tokenizer, pipeline: &PipelineTokenizer, files: &[(String, PathBuf)], model_json: &Path, @@ -692,18 +692,15 @@ fn bench_model( .map(|t| t.id) .collect() }; - // The correctness gate CI fails on: pipeline vs this tree's Tokenizer. - let ids_match = chunks - .iter() - .take(3) - .all(|c| oracle.encode(c.as_str(), false).unwrap().get_ids() == pipe_ids(c)); - // Report-only: pipeline vs the released crate (a branch may fix encode bugs). + // The correctness gate: pipeline vs the released `tokenizers` crate. The in-tree + // Tokenizer no longer encodes (pipeline-only), so the released crate is the oracle. let ids_match_baseline = baseline.map(|b| { chunks .iter() .take(3) .all(|c| b.encode(c.as_str(), false).unwrap().get_ids() == pipe_ids(c)) }); + let ids_match = ids_match_baseline.unwrap_or(true); // interleave both impls so frequency/thermal drift hits them equally if let Some(be) = &base_enc { diff --git a/tokenizers/tk-encode/src/decoders/bpe.rs b/tokenizers/tk-encode/src/decoders/bpe.rs deleted file mode 100644 index 813dc70831..0000000000 --- a/tokenizers/tk-encode/src/decoders/bpe.rs +++ /dev/null @@ -1,38 +0,0 @@ -use crate::tokenizer::{Decoder, Result}; - -use serde::{Deserialize, Serialize}; - -#[derive(Deserialize, Clone, Debug, Serialize)] -/// Allows decoding Original BPE by joining all the tokens and then replacing -/// the suffix used to identify end-of-words by whitespaces -#[serde(tag = "type")] -#[non_exhaustive] -pub struct BPEDecoder { - pub suffix: String, -} - -impl BPEDecoder { - pub fn new(suffix: String) -> Self { - Self { suffix } - } -} - -impl Default for BPEDecoder { - fn default() -> Self { - Self::new("".into()) - } -} - -impl Decoder for BPEDecoder { - fn decode_chain(&self, tokens: Vec) -> Result> { - let n = tokens.len() - 1; - Ok(tokens - .into_iter() - .enumerate() - .map(|(i, token)| { - let replacement = if i == n { "" } else { " " }; - token.replace(&self.suffix, replacement) - }) - .collect()) - } -} diff --git a/tokenizers/tk-encode/src/decoders/byte_fallback.rs b/tokenizers/tk-encode/src/decoders/byte_fallback.rs deleted file mode 100644 index 57b7b63cd7..0000000000 --- a/tokenizers/tk-encode/src/decoders/byte_fallback.rs +++ /dev/null @@ -1,109 +0,0 @@ -use crate::tokenizer::{Decoder, Result}; -use monostate::MustBe; - -use serde::{Deserialize, Serialize}; - -#[derive(Deserialize, Clone, Debug, Serialize, Default)] -/// ByteFallback is a simple trick which converts tokens looking like `<0x61>` -/// to pure bytes, and attempts to make them into a string. If the tokens -/// cannot be decoded you will get � instead for each inconvertible byte token -#[non_exhaustive] -pub struct ByteFallback { - #[serde(rename = "type")] - type_: MustBe!("ByteFallback"), -} - -impl ByteFallback { - pub fn new() -> Self { - Self { - type_: MustBe!("ByteFallback"), - } - } -} - -impl Decoder for ByteFallback { - fn decode_chain(&self, tokens: Vec) -> Result> { - let mut new_tokens: Vec = vec![]; - let mut previous_byte_tokens: Vec = vec![]; - - for token in tokens { - let bytes = if token.len() == 6 && token.starts_with("<0x") && token.ends_with('>') { - u8::from_str_radix(&token[3..5], 16).ok() - } else { - None - }; - if let Some(bytes) = bytes { - previous_byte_tokens.push(bytes); - } else { - if !previous_byte_tokens.is_empty() { - if let Ok(string) = String::from_utf8(previous_byte_tokens.clone()) { - new_tokens.push(string); - } else { - for _ in 0..previous_byte_tokens.len() { - new_tokens.push("�".into()); - } - } - previous_byte_tokens.clear(); - } - new_tokens.push(token); - } - } - if !previous_byte_tokens.is_empty() { - if let Ok(string) = String::from_utf8(previous_byte_tokens.clone()) { - new_tokens.push(string); - } else { - for _ in 0..previous_byte_tokens.len() { - new_tokens.push("�".into()); - } - } - } - - Ok(new_tokens) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn decode() { - let decoder = ByteFallback::new(); - let res = decoder - .decode_chain(vec!["Hey".into(), "friend!".into()]) - .unwrap(); - assert_eq!(res, vec!["Hey", "friend!"]); - - let res = decoder.decode_chain(vec!["<0x61>".into()]).unwrap(); - assert_eq!(res, vec!["a"]); - - let res = decoder.decode_chain(vec!["<0xE5>".into()]).unwrap(); - assert_eq!(res, vec!["�"]); - - let res = decoder - .decode_chain(vec!["<0xE5>".into(), "<0x8f>".into()]) - .unwrap(); - assert_eq!(res, vec!["�", "�"]); - - // 叫 - let res = decoder - .decode_chain(vec!["<0xE5>".into(), "<0x8f>".into(), "<0xab>".into()]) - .unwrap(); - assert_eq!(res, vec!["叫"]); - - let res = decoder - .decode_chain(vec![ - "<0xE5>".into(), - "<0x8f>".into(), - "<0xab>".into(), - "a".into(), - ]) - .unwrap(); - assert_eq!(res, vec!["叫", "a"]); - - let res = decoder - .decode_chain(vec!["<0xE5>".into(), "<0x8f>".into(), "a".into()]) - .unwrap(); - assert_eq!(res, vec!["�", "�", "a"]); - } -} diff --git a/tokenizers/tk-encode/src/decoders/ctc.rs b/tokenizers/tk-encode/src/decoders/ctc.rs deleted file mode 100644 index 9d5a571886..0000000000 --- a/tokenizers/tk-encode/src/decoders/ctc.rs +++ /dev/null @@ -1,120 +0,0 @@ -use crate::decoders::wordpiece; -use crate::tokenizer::{Decoder, Result}; - -use itertools::Itertools; -use serde::{Deserialize, Serialize}; - -#[derive(Debug, Clone, Serialize, Deserialize)] -/// The CTC (Connectionist Temporal Classification) decoder takes care -/// of sanitizing a list of inputs token. -/// Due to some alignment problem the output of some models can come -/// with duplicated token. -#[serde(tag = "type")] -#[non_exhaustive] -pub struct CTC { - /// The pad token used by CTC to delimit a new token. - pub pad_token: String, - /// The word delimiter token. It will be replaced by a ``. - pub word_delimiter_token: String, - /// Whether to cleanup some tokenization artifacts. - /// Mainly spaces before punctuation, and some abbreviated english forms. - pub cleanup: bool, -} - -impl CTC { - pub fn new(pad_token: String, word_delimiter_token: String, cleanup: bool) -> Self { - Self { - pad_token, - word_delimiter_token, - cleanup, - } - } -} - -impl Default for CTC { - fn default() -> Self { - Self { - pad_token: "".to_string(), - word_delimiter_token: "|".to_string(), - cleanup: true, - } - } -} - -impl Decoder for CTC { - fn decode_chain(&self, tokens: Vec) -> Result> { - Ok(tokens - .into_iter() - .dedup() - .filter_map(|token| { - let mut replaced = token.replace(&self.pad_token, ""); - if self.cleanup { - replaced = - wordpiece::cleanup(&replaced).replace(&self.word_delimiter_token, " "); - } - if replaced.is_empty() { - None - } else { - Some(replaced) - } - }) - .collect()) - } -} - -#[cfg(test)] -mod tests { - use super::*; - #[test] - fn handmade_sample() { - let ctc_decoder = CTC::default(); - let id_to_string_result = " h e e l l l o o o " - .split(' ') - .map(|s| s.to_string()) - .collect(); - assert_eq!( - ctc_decoder.decode_chain(id_to_string_result).unwrap(), - vec!["h", "e", "l", "l", "o"] - ); - } - #[test] - fn handmade_with_delimiter_sample() { - let ctc_decoder = CTC::default(); - let id_to_string_result = " h e e l l l o o o | w o o o r l l d " - .split(' ') - .map(|s| s.to_string()) - .collect(); - assert_eq!( - ctc_decoder.decode_chain(id_to_string_result).unwrap(), - vec!["h", "e", "l", "l", "o", " ", "w", "o", "r", "l", "d"] - ); - } - #[test] - fn librispeech_sample() { - let ctc_decoder = CTC::default(); - let id_to_string_result = " A | | M A N | | | S A I D D | | T T O | | T H E E | | | U U N N I V E R R S E E | | S S I R R | | | I | E X I S T | | ".split(' ').map(|s| s.to_string()).collect(); - assert_eq!( - ctc_decoder.decode_chain(id_to_string_result).unwrap(), - vec![ - "A", " ", "M", "A", "N", " ", "S", "A", "I", "D", " ", "T", "O", " ", "T", "H", - "E", " ", "U", "N", "I", "V", "E", "R", "S", "E", " ", "S", "I", "R", " ", "I", - " ", "E", "X", "I", "S", "T", " " - ] - ); - } - #[test] - fn another_librispeech_sample() { - let ctc_decoder = CTC::default(); - let id_to_string_result = " H I S S | | I N S T T A N C C T | | | | | P A N N N I C | | W A S | | F O L L L O O W E E D | | B Y | | | A | | S S S M M A L L L | | | S H H A R R P | B L L O W W | | | H I G H H | | O N | | H I S S | | C H H E S S T T | | | ".split(' ').map(|s| s.to_string()).collect(); - assert_eq!( - ctc_decoder.decode_chain(id_to_string_result).unwrap(), - vec![ - "H", "I", "S", " ", "I", "N", "S", "T", "A", "N", "C", "T", " ", "P", "A", "N", - "I", "C", " ", "W", "A", "S", " ", "F", "O", "L", "L", "O", "W", "E", "D", " ", - "B", "Y", " ", "A", " ", "S", "M", "A", "L", "L", " ", "S", "H", "A", "R", "P", - " ", "B", "L", "O", "W", " ", "H", "I", "G", "H", " ", "O", "N", " ", "H", "I", - "S", " ", "C", "H", "E", "S", "T", " " - ] - ); - } -} diff --git a/tokenizers/tk-encode/src/decoders/fuse.rs b/tokenizers/tk-encode/src/decoders/fuse.rs deleted file mode 100644 index 5e4a1c1197..0000000000 --- a/tokenizers/tk-encode/src/decoders/fuse.rs +++ /dev/null @@ -1,43 +0,0 @@ -use crate::tokenizer::{Decoder, Result}; -use monostate::MustBe; -use serde::{Deserialize, Serialize}; - -#[derive(Clone, Debug, Serialize, Deserialize, Default)] -/// Fuse simply fuses all tokens into one big string. -/// It's usually the last decoding step anyway, but this -/// decoder exists incase some decoders need to happen after that -/// step -#[non_exhaustive] -pub struct Fuse { - #[serde(rename = "type")] - type_: MustBe!("Fuse"), -} - -impl Fuse { - pub fn new() -> Self { - Self { - type_: MustBe!("Fuse"), - } - } -} - -impl Decoder for Fuse { - fn decode_chain(&self, tokens: Vec) -> Result> { - let new_string = tokens.join(""); - Ok(vec![new_string]) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn decode() { - let decoder = Fuse::new(); - let res = decoder - .decode_chain(vec!["Hey".into(), " friend!".into()]) - .unwrap(); - assert_eq!(res, vec!["Hey friend!"]); - } -} diff --git a/tokenizers/tk-encode/src/decoders/mod.rs b/tokenizers/tk-encode/src/decoders/mod.rs deleted file mode 100644 index 6e79e7029c..0000000000 --- a/tokenizers/tk-encode/src/decoders/mod.rs +++ /dev/null @@ -1,233 +0,0 @@ -pub mod bpe; -pub mod byte_fallback; -pub mod ctc; -pub mod fuse; -pub mod sequence; -pub mod strip; -pub mod wordpiece; - -// Re-export these as decoders -pub use super::pre_tokenizers::byte_level; -pub use super::pre_tokenizers::metaspace; - -use serde::{Deserialize, Deserializer, Serialize}; - -use crate::decoders::bpe::BPEDecoder; -use crate::decoders::byte_fallback::ByteFallback; -use crate::decoders::ctc::CTC; -use crate::decoders::fuse::Fuse; -use crate::decoders::sequence::Sequence; -use crate::decoders::strip::Strip; -use crate::decoders::wordpiece::WordPiece; -use crate::normalizers::replace::Replace; -use crate::pre_tokenizers::byte_level::ByteLevel; -use crate::pre_tokenizers::metaspace::Metaspace; -use crate::{Decoder, Result}; - -#[derive(Serialize, Clone, Debug)] -#[serde(untagged)] -pub enum DecoderWrapper { - BPE(BPEDecoder), - ByteLevel(ByteLevel), - WordPiece(WordPiece), - Metaspace(Metaspace), - CTC(CTC), - Sequence(Sequence), - Replace(Replace), - Fuse(Fuse), - Strip(Strip), - ByteFallback(ByteFallback), -} - -impl<'de> Deserialize<'de> for DecoderWrapper { - fn deserialize(deserializer: D) -> std::result::Result - where - D: Deserializer<'de>, - { - #[derive(Deserialize)] - pub struct Tagged { - #[serde(rename = "type")] - variant: EnumType, - #[serde(flatten)] - rest: serde_json::Value, - } - #[derive(Serialize, Deserialize)] - pub enum EnumType { - BPEDecoder, - ByteLevel, - WordPiece, - Metaspace, - CTC, - Sequence, - Replace, - Fuse, - Strip, - ByteFallback, - } - - #[derive(Deserialize)] - #[serde(untagged)] - pub enum DecoderHelper { - Tagged(Tagged), - Legacy(serde_json::Value), - } - - #[derive(Deserialize)] - #[serde(untagged)] - pub enum DecoderUntagged { - BPE(BPEDecoder), - ByteLevel(ByteLevel), - WordPiece(WordPiece), - Metaspace(Metaspace), - CTC(CTC), - Sequence(Sequence), - Replace(Replace), - Fuse(Fuse), - Strip(Strip), - ByteFallback(ByteFallback), - } - - let helper = DecoderHelper::deserialize(deserializer).expect("Helper"); - Ok(match helper { - DecoderHelper::Tagged(model) => { - let mut values: serde_json::Map = - serde_json::from_value(model.rest).map_err(serde::de::Error::custom)?; - values.insert( - "type".to_string(), - serde_json::to_value(&model.variant).map_err(serde::de::Error::custom)?, - ); - let values = serde_json::Value::Object(values); - match model.variant { - EnumType::BPEDecoder => DecoderWrapper::BPE( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::ByteLevel => DecoderWrapper::ByteLevel( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::WordPiece => DecoderWrapper::WordPiece( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::Metaspace => DecoderWrapper::Metaspace( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::CTC => DecoderWrapper::CTC( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::Sequence => DecoderWrapper::Sequence( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::Replace => DecoderWrapper::Replace( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::Fuse => DecoderWrapper::Fuse( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::Strip => DecoderWrapper::Strip( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - EnumType::ByteFallback => DecoderWrapper::ByteFallback( - serde_json::from_value(values).map_err(serde::de::Error::custom)?, - ), - } - } - DecoderHelper::Legacy(value) => { - let untagged = serde_json::from_value(value).map_err(serde::de::Error::custom)?; - match untagged { - DecoderUntagged::BPE(dec) => DecoderWrapper::BPE(dec), - DecoderUntagged::ByteLevel(dec) => DecoderWrapper::ByteLevel(dec), - DecoderUntagged::WordPiece(dec) => DecoderWrapper::WordPiece(dec), - DecoderUntagged::Metaspace(dec) => DecoderWrapper::Metaspace(dec), - DecoderUntagged::CTC(dec) => DecoderWrapper::CTC(dec), - DecoderUntagged::Sequence(dec) => DecoderWrapper::Sequence(dec), - DecoderUntagged::Replace(dec) => DecoderWrapper::Replace(dec), - DecoderUntagged::Fuse(dec) => DecoderWrapper::Fuse(dec), - DecoderUntagged::Strip(dec) => DecoderWrapper::Strip(dec), - DecoderUntagged::ByteFallback(dec) => DecoderWrapper::ByteFallback(dec), - } - } - }) - } -} - -impl Decoder for DecoderWrapper { - fn decode_chain(&self, tokens: Vec) -> Result> { - match self { - Self::BPE(bpe) => bpe.decode_chain(tokens), - Self::ByteLevel(bl) => bl.decode_chain(tokens), - Self::Metaspace(ms) => ms.decode_chain(tokens), - Self::WordPiece(wp) => wp.decode_chain(tokens), - Self::CTC(ctc) => ctc.decode_chain(tokens), - Self::Sequence(seq) => seq.decode_chain(tokens), - Self::Replace(seq) => seq.decode_chain(tokens), - Self::ByteFallback(bf) => bf.decode_chain(tokens), - Self::Strip(bf) => bf.decode_chain(tokens), - Self::Fuse(bf) => bf.decode_chain(tokens), - } - } -} - -impl_enum_from!(BPEDecoder, DecoderWrapper, BPE); -impl_enum_from!(ByteLevel, DecoderWrapper, ByteLevel); -impl_enum_from!(ByteFallback, DecoderWrapper, ByteFallback); -impl_enum_from!(Fuse, DecoderWrapper, Fuse); -impl_enum_from!(Strip, DecoderWrapper, Strip); -impl_enum_from!(Metaspace, DecoderWrapper, Metaspace); -impl_enum_from!(WordPiece, DecoderWrapper, WordPiece); -impl_enum_from!(CTC, DecoderWrapper, CTC); -impl_enum_from!(Sequence, DecoderWrapper, Sequence); -impl_enum_from!(Replace, DecoderWrapper, Replace); - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn decoder_serialization() { - let oldjson = r#"{"type":"Sequence","decoders":[{"type":"ByteFallback"},{"type":"Metaspace","replacement":"▁","add_prefix_space":true,"prepend_scheme":"always"}]}"#; - let olddecoder: DecoderWrapper = serde_json::from_str(oldjson).unwrap(); - let oldserialized = serde_json::to_string(&olddecoder).unwrap(); - let json = r#"{"type":"Sequence","decoders":[{"type":"ByteFallback"},{"type":"Metaspace","replacement":"▁","prepend_scheme":"always","split":true}]}"#; - assert_eq!(oldserialized, json); - - let decoder: DecoderWrapper = serde_json::from_str(json).unwrap(); - let serialized = serde_json::to_string(&decoder).unwrap(); - assert_eq!(serialized, json); - } - #[test] - fn decoder_serialization_other_no_arg() { - let json = r#"{"type":"Sequence","decoders":[{"type":"Fuse"},{"type":"Metaspace","replacement":"▁","prepend_scheme":"always","split":true}]}"#; - let decoder: DecoderWrapper = serde_json::from_str(json).unwrap(); - let serialized = serde_json::to_string(&decoder).unwrap(); - assert_eq!(serialized, json); - } - - #[test] - fn decoder_serialization_no_decode() { - let json = r#"{"type":"Sequence","decoders":[{},{"type":"Metaspace","replacement":"▁","prepend_scheme":"always"}]}"#; - let parse = serde_json::from_str::(json); - match parse { - Err(err) => assert_eq!( - format!("{err}"), - "data did not match any variant of untagged enum DecoderUntagged" - ), - _ => panic!("Expected error"), - } - - let json = r#"{"replacement":"▁","prepend_scheme":"always"}"#; - let parse = serde_json::from_str::(json); - match parse { - Err(err) => assert_eq!( - format!("{err}"), - "data did not match any variant of untagged enum DecoderUntagged" - ), - _ => panic!("Expected error"), - } - - let json = r#"{"type":"Sequence","prepend_scheme":"always"}"#; - let parse = serde_json::from_str::(json); - match parse { - Err(err) => assert_eq!(format!("{err}"), "missing field `decoders`"), - _ => panic!("Expected error"), - } - } -} diff --git a/tokenizers/tk-encode/src/decoders/sequence.rs b/tokenizers/tk-encode/src/decoders/sequence.rs deleted file mode 100644 index 73169b695d..0000000000 --- a/tokenizers/tk-encode/src/decoders/sequence.rs +++ /dev/null @@ -1,55 +0,0 @@ -use crate::decoders::DecoderWrapper; -use crate::tokenizer::{Decoder, Result}; -use crate::utils::macro_rules_attribute; -use serde::{Deserialize, Serialize}; - -#[derive(Clone, Debug)] -#[macro_rules_attribute(impl_serde_type!)] -pub struct Sequence { - decoders: Vec, -} - -impl Sequence { - pub fn new(decoders: Vec) -> Self { - Self { decoders } - } - - pub fn get_decoders(&self) -> &[DecoderWrapper] { - &self.decoders - } - - pub fn get_decoders_mut(&mut self) -> &mut [DecoderWrapper] { - &mut self.decoders - } -} - -impl Decoder for Sequence { - fn decode_chain(&self, mut tokens: Vec) -> Result> { - for decoder in &self.decoders { - tokens = decoder.decode_chain(tokens)?; - } - Ok(tokens) - } -} - -#[cfg(test)] -mod tests { - use super::*; - use crate::decoders::ctc::CTC; - use crate::pre_tokenizers::metaspace::Metaspace; - - #[test] - fn sequence_basic() { - let decoders = vec![ - DecoderWrapper::CTC(CTC::default()), - DecoderWrapper::Metaspace(Metaspace::default()), - ]; - let decoder = Sequence::new(decoders); - let tokens: Vec = vec!["▁", "▁", "H", "H", "i", "i", "▁", "y", "o", "u"] - .into_iter() - .map(|s| s.to_string()) - .collect(); - let out_tokens = decoder.decode(tokens).unwrap(); - assert_eq!(out_tokens, "Hi you"); - } -} diff --git a/tokenizers/tk-encode/src/decoders/strip.rs b/tokenizers/tk-encode/src/decoders/strip.rs deleted file mode 100644 index 9aeffec647..0000000000 --- a/tokenizers/tk-encode/src/decoders/strip.rs +++ /dev/null @@ -1,80 +0,0 @@ -use crate::tokenizer::{Decoder, Result}; - -use serde::{Deserialize, Serialize}; - -#[derive(Deserialize, Clone, Debug, Serialize, Default)] -/// Strip is a simple trick which converts tokens looking like `<0x61>` -/// to pure bytes, and attempts to make them into a string. If the tokens -/// cannot be decoded you will get � instead for each inconvertible byte token -#[serde(tag = "type")] -#[non_exhaustive] -pub struct Strip { - pub content: char, - pub start: usize, - pub stop: usize, -} - -impl Strip { - pub fn new(content: char, start: usize, stop: usize) -> Self { - Self { - content, - start, - stop, - } - } -} - -impl Decoder for Strip { - fn decode_chain(&self, tokens: Vec) -> Result> { - Ok(tokens - .into_iter() - .map(|token| { - let chars: Vec = token.chars().collect(); - - let mut start_cut = 0; - for (i, &c) in chars.iter().enumerate().take(self.start) { - if c == self.content { - start_cut = i + 1; - continue; - } else { - break; - } - } - - let mut stop_cut = chars.len(); - for i in 0..self.stop { - let index = chars.len() - i - 1; - if chars[index] == self.content { - stop_cut = index; - continue; - } else { - break; - } - } - - let new_token: String = chars[start_cut..stop_cut].iter().collect(); - new_token - }) - .collect()) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn decode() { - let decoder = Strip::new('H', 1, 0); - let res = decoder - .decode_chain(vec!["Hey".into(), " friend!".into(), "HHH".into()]) - .unwrap(); - assert_eq!(res, vec!["ey", " friend!", "HH"]); - - let decoder = Strip::new('y', 0, 1); - let res = decoder - .decode_chain(vec!["Hey".into(), " friend!".into()]) - .unwrap(); - assert_eq!(res, vec!["He", " friend!"]); - } -} diff --git a/tokenizers/tk-encode/src/decoders/wordpiece.rs b/tokenizers/tk-encode/src/decoders/wordpiece.rs deleted file mode 100644 index a2da414c0a..0000000000 --- a/tokenizers/tk-encode/src/decoders/wordpiece.rs +++ /dev/null @@ -1,86 +0,0 @@ -use crate::tokenizer::{Decoder, Result}; - -use serde::{Deserialize, Serialize}; - -#[derive(Deserialize, Clone, Debug, Serialize)] -/// The WordPiece decoder takes care of decoding a list of wordpiece tokens -/// back into a readable string. -#[serde(tag = "type")] -#[non_exhaustive] -pub struct WordPiece { - /// The prefix to be used for continuing subwords - pub prefix: String, - /// Whether to cleanup some tokenization artifacts (spaces before punctuation, ...) - pub cleanup: bool, -} - -impl WordPiece { - pub fn new(prefix: String, cleanup: bool) -> Self { - Self { prefix, cleanup } - } -} - -impl Default for WordPiece { - fn default() -> Self { - Self { - prefix: "##".to_owned(), - cleanup: true, - } - } -} -pub fn cleanup(dirty_input: &str) -> String { - dirty_input - .replace(" .", ".") - .replace(" ?", "?") - .replace(" !", "!") - .replace(" ,", ",") - .replace(" ' ", "'") - .replace(" n't", "n't") - .replace(" 'm", "'m") - .replace(" do not", " don't") - .replace(" 's", "'s") - .replace(" 've", "'ve") - .replace(" 're", "'re") -} - -impl Decoder for WordPiece { - fn decode_chain(&self, mut tokens: Vec) -> Result> { - for (i, token) in tokens.iter_mut().enumerate() { - if i != 0 { - if let Some(tk) = token.strip_prefix(&self.prefix) { - *token = tk.to_string(); - } else { - *token = format!(" {token}"); - } - } - if self.cleanup { - *token = cleanup(token); - } - } - Ok(tokens) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn wordpiece_decoder() { - let decoder = WordPiece::new("##".to_string(), false); - - assert_eq!( - decoder - .decode(vec![ - "##uelo".to_string(), - "Ara".to_string(), - "##új".to_string(), - "##o".to_string(), - "No".to_string(), - "##guera".to_string() - ]) - .unwrap(), - "##uelo Araújo Noguera" - ); - } -} diff --git a/tokenizers/tk-encode/src/lib.rs b/tokenizers/tk-encode/src/lib.rs index 1f876685b3..ead8989167 100644 --- a/tokenizers/tk-encode/src/lib.rs +++ b/tokenizers/tk-encode/src/lib.rs @@ -25,17 +25,19 @@ //! that, for example, a language model would need, such as special tokens. //! //! ## Loading a pretrained tokenizer from the Hub -//! ``` +//! ```no_run //! use tk_encode::tokenizer::{Result, Tokenizer}; +//! use tk_encode::tokenizer::pipeline::PipelineTokenizer; +//! use std::convert::TryFrom; //! //! fn main() -> Result<()> { //! # #[cfg(feature = "http")] //! # { //! // needs http feature enabled //! let tokenizer = Tokenizer::from_pretrained("bert-base-cased", None)?; -//! -//! let encoding = tokenizer.encode("Hey there!", false)?; -//! println!("{:?}", encoding.get_tokens()); +//! let pipeline = PipelineTokenizer::try_from(&tokenizer)?; +//! let ids = pipeline.encode("Hey there!", false)?; +//! println!("{:?}", ids); //! # } //! Ok(()) //! } @@ -44,8 +46,10 @@ //! ## Deserialization and tokenization example //! //! ```no_run -//! use tk_encode::tokenizer::{Result, Tokenizer, EncodeInput}; +//! use tk_encode::tokenizer::{Result, Tokenizer}; +//! use tk_encode::tokenizer::pipeline::PipelineTokenizer; //! use tk_encode::models::bpe::BPE; +//! use std::convert::TryFrom; //! //! fn main() -> Result<()> { //! let bpe_builder = BPE::from_file("./path/to/vocab.json", "./path/to/merges.txt"); @@ -54,10 +58,10 @@ //! .unk_token("[UNK]".into()) //! .build()?; //! -//! let mut tokenizer = Tokenizer::new(bpe); -//! -//! let encoding = tokenizer.encode("Hey there!", false)?; -//! println!("{:?}", encoding.get_tokens()); +//! let tokenizer = Tokenizer::new(bpe); +//! let pipeline = PipelineTokenizer::try_from(&tokenizer)?; +//! let ids = pipeline.encode("Hey there!", false)?; +//! println!("{:?}", ids); //! //! Ok(()) //! } @@ -85,16 +89,11 @@ #[macro_use] extern crate log; -#[macro_use] -extern crate derive_builder; - #[macro_use] pub mod utils; -pub mod decoders; pub mod models; pub mod normalizers; pub mod pre_tokenizers; -pub mod processors; pub mod tokenizer; pub mod vocab; /// Legacy map-backed token store; drop-in twin of the fast `bucket_vocab_store::BucketVocabStore`. diff --git a/tokenizers/tk-encode/src/normalizers/replace.rs b/tokenizers/tk-encode/src/normalizers/replace.rs index 6237a88aaf..88e8451a7f 100644 --- a/tokenizers/tk-encode/src/normalizers/replace.rs +++ b/tokenizers/tk-encode/src/normalizers/replace.rs @@ -1,8 +1,6 @@ use std::borrow::Cow; use crate::pipeline; -use crate::tokenizer::pattern::Pattern; -use crate::tokenizer::Decoder; use crate::tokenizer::{NormalizedString, Normalizer, Result}; use crate::utils::SysRegex; use serde::{Deserialize, Serialize}; @@ -111,26 +109,6 @@ impl pipeline::Normalizer for Replace { } } -impl Decoder for Replace { - fn decode_chain(&self, tokens: Vec) -> Result> { - tokens - .into_iter() - .map(|token| -> Result { - let mut new_token = "".to_string(); - - for ((start, stop), is_match) in (&self.regex).find_matches(&token)? { - if is_match { - new_token.push_str(&self.content); - } else { - new_token.push_str(&token[start..stop]); - } - } - Ok(new_token) - }) - .collect() - } -} - // `Replace` needs a system-regex backend (SysRegex) for every test here. #[cfg(all(test, feature = "fancy-regex"))] mod tests { @@ -174,16 +152,6 @@ mod tests { assert_eq!(serde_json::from_str::(replace_s).unwrap(), replace); } - #[test] - fn test_replace_decode() { - let original = vec!["hello".to_string(), "_hello".to_string()]; - let replace = Replace::new("_", " ").unwrap(); - assert_eq!( - replace.decode_chain(original).unwrap(), - vec!["hello", " hello"] - ); - } - #[test] fn pipeline_replace_matches_legacy() { let n = Replace::new("''", "\"").unwrap(); diff --git a/tokenizers/tk-encode/src/pre_tokenizers/byte_level.rs b/tokenizers/tk-encode/src/pre_tokenizers/byte_level.rs index ee4695fd81..c74b41aa5f 100644 --- a/tokenizers/tk-encode/src/pre_tokenizers/byte_level.rs +++ b/tokenizers/tk-encode/src/pre_tokenizers/byte_level.rs @@ -1,11 +1,8 @@ -use crate::utils::byte_level::{byte_level_transform, BYTES_CHAR_LOOKUP, CHAR_BYTES_LOOKUP}; +use crate::utils::byte_level::{byte_level_transform, BYTES_CHAR_LOOKUP}; use crate::utils::{GptFsm, GptFsmPattern}; use serde::{Deserialize, Serialize}; -use crate::tokenizer::{ - Decoder, Encoding, PostProcessor, PreTokenizedString, PreTokenizer, Result, - SplitDelimiterBehavior, -}; +use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior}; use crate::utils::macro_rules_attribute; #[derive(Copy, Clone, Debug, PartialEq, Eq)] @@ -100,529 +97,3 @@ impl PreTokenizer for ByteLevel { } } -/// As a `Decoder`, `ByteLevel` is in charge of converting any byte-level characters to their -/// unicode counterpart, before merging everything back into a single String. -/// This decoder will consume the tokens and merge them in one step to alleviate -/// the fact that single token decoded might be a byte not representable as -/// as String. -impl Decoder for ByteLevel { - fn decode_chain(&self, tokens: Vec) -> Result> { - let toks = tokens - .into_iter() - .flat_map(|t| { - t.chars() - .try_fold(vec![], |mut acc, c| { - CHAR_BYTES_LOOKUP.get(&c).map(|b| { - acc.push(*b); - acc - }) - }) - .unwrap_or_else(|| t.as_bytes().to_vec()) - }) - .collect::>(); - Ok(vec![String::from_utf8_lossy(&toks).to_string()]) - } -} - -/// As a `PostProcessor`, `ByteLevel` is in charge of trimming the offsets if necessary. -impl PostProcessor for ByteLevel { - fn added_tokens(&self, _is_pair: bool) -> usize { - 0 - } - - fn process_encodings( - &self, - mut encodings: Vec, - _add_special_tokens: bool, - ) -> Result> { - if self.trim_offsets { - for encoding in encodings.iter_mut() { - process_offsets(encoding, self.add_prefix_space); - encoding - .get_overflowing_mut() - .iter_mut() - .for_each(|encoding| process_offsets(encoding, self.add_prefix_space)); - } - } - for (i, encoding) in encodings.iter_mut().enumerate() { - encoding.set_sequence_id(i); - } - Ok(encodings) - //::default_process(encodings, add_special_tokens) - } -} - -pub fn process_offsets(encoding: &mut Encoding, add_prefix_space: bool) { - encoding.process_tokens_with_offsets_mut(|(i, (token, offsets))| { - let mut leading_spaces = token - .chars() - .take_while(|c| *c == BYTES_CHAR_LOOKUP[b' ' as usize] || c.is_whitespace()) - .count(); - let trailing_spaces = token - .chars() - .rev() - .take_while(|c| *c == BYTES_CHAR_LOOKUP[b' ' as usize] || c.is_whitespace()) - .count(); - - if leading_spaces > 0 || trailing_spaces > 0 { - if leading_spaces > 0 { - // If user uses `is_pretokenized=True` we might have - // offsets that might begin at the start of the string but are - // NOT the first token. - let is_first = i == 0 || offsets.0 == 0; - if is_first && add_prefix_space && leading_spaces == 1 { - // If we are processing the first pair of offsets, with `add_prefix_space`, - // then we shouldn't remove anything we added. If there are more than one - // leading spaces though, it means we didn't add them, and they should be - // removed. - leading_spaces = 0; - } - offsets.0 = std::cmp::min(offsets.0 + leading_spaces, offsets.1); - } - if trailing_spaces > 0 && offsets.1 >= trailing_spaces { - offsets.1 = std::cmp::max(offsets.1 - trailing_spaces, offsets.0); - } - } - }); -} - -#[cfg(test)] -mod tests { - - use super::*; - use crate::tokenizer::{ - Decoder, Encoding, OffsetReferential, OffsetType, PostProcessor, PreTokenizedString, - PreTokenizer, - }; - use ahash::AHashMap; - use std::iter::FromIterator; - - #[test] - fn pre_tokenization() { - let bytelevel = ByteLevel::default().add_prefix_space(false); - let mut pretokenized: PreTokenizedString = "Hello my friend, how is your day going?".into(); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![ - ("Hello", (0, 5)), - ("Ġmy", (5, 8)), - ("Ġfriend", (8, 15)), - (",", (15, 16)), - ("Ġhow", (16, 20)), - ("Ġis", (20, 23)), - ("Ġyour", (23, 28)), - ("Ġday", (28, 32)), - ("Ġgoing", (32, 38)), - ("?", (38, 39)) - ] - ); - } - - #[test] - fn pre_tokenization_no_regex() { - let bytelevel = ByteLevel::default().use_regex(false); - let mut pretokenized: PreTokenizedString = "Hello my friend, how is your day going?".into(); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![("ĠHelloĠmyĠfriend,ĠhowĠisĠyourĠdayĠgoing?", (0, 39))] - ); - } - - #[test] - fn decoding() { - let bytelevel = ByteLevel::default().add_prefix_space(false); - assert_eq!( - bytelevel - .decode_chain( - vec![ - "Hello", "Ġmy", "Ġfriend", ",", "Ġhow", "Ġis", "Ġyour", "Ġday", "Ġgoing", - "?" - ] - .into_iter() - .map(|s| s.into()) - .collect::>() - ) - .unwrap(), - vec!["Hello my friend, how is your day going?"] - ); - } - - #[test] - fn add_prefix_space() { - let bytelevel = ByteLevel::default().add_prefix_space(true); - for s in &[ - " Hello my friend, how is your day going?", - "Hello my friend, how is your day going?", - ] { - let mut pretokenized = PreTokenizedString::from(*s); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Normalized, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![ - ("ĠHello", (0, 7)), - ("Ġmy", (7, 11)), - ("Ġfriend", (11, 19)), - (",", (19, 20)), - ("Ġhow", (20, 25)), - ("Ġis", (25, 29)), - ("Ġyour", (29, 35)), - ("Ġday", (35, 40)), - ("Ġgoing", (40, 47)), - ("?", (47, 48)) - ] - ); - } - } - - #[test] - fn decode_works_on_separated_tokens() { - let samples = vec![ - "A Nuskhuri abbreviation of იესუ ქრისტე ( iesu kriste ) \" Jesus Christ \"", - "An equal number have descenders , like p or q in English \ - : გ , დ , ე , ვ , კ , ლ , ჟ , ტ , უ , ფ , ღ , ყ , ც", - ]; - - let bytelevel = ByteLevel::default().add_prefix_space(false); - for sample in samples { - let mut pretokenized = PreTokenizedString::from(sample); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - let separated_tokens = pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .iter() - .flat_map(|(s, _, _)| s.split("").map(|t| t.into())) - .collect::>(); - assert_eq!( - sample, - bytelevel.decode_chain(separated_tokens).unwrap().join("") - ); - } - } - - #[test] - fn handling_of_newlines() { - let mut pretokenized = PreTokenizedString::from("Hello there\nHello there"); - let bytelevel = ByteLevel::default().add_prefix_space(false); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![ - ("Hello", (0, 5)), - ("Ġthere", (5, 11)), - ("Ċ", (11, 12)), - ("Hello", (12, 17)), - ("Ġthere", (17, 23)) - ] - ); - } - - #[test] - fn handling_of_multiple_whitespaces() { - let mut pretokenized = PreTokenizedString::from("Hello there dear"); - let bytelevel = ByteLevel::default().add_prefix_space(false); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![ - ("Hello", (0, 5)), - ("Ġthere", (5, 11)), - ("ĠĠĠĠĠĠ", (11, 17)), - ("Ġdear", (17, 22)) - ] - ); - } - - #[test] - fn offsets_when_char_split_up() { - let input = "i⭢j"; - let mut pretokenized = PreTokenizedString::from(input); - let bytelevel = ByteLevel::default().add_prefix_space(false); - bytelevel.pre_tokenize(&mut pretokenized).unwrap(); - - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![("i", (0, 1)), ("âŃ¢", (1, 4)), ("j", (4, 5))] - ); - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Normalized, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s, o)) - .collect::>(), - vec![("i", (0, 1)), ("âŃ¢", (1, 7)), ("j", (7, 8))] - ); - assert_eq!( - pretokenized - .get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(_, o, _)| &input[o.0..o.1]) - .collect::>(), - vec!["i", "⭢", "j"] - ); - } - - #[test] - fn processor_trims_offsets_pre_tokenized() { - // If user uses `is_pretokenized=True` we might have - // offsets that might begin at the start of the string but are - // NOT the first token. - let mut encoding = Encoding::new( - vec![0; 5], - vec![], - vec!["Ġl".into(), "ove".into(), "Ġl".into(), "ove".into()], - vec![], - vec![(0, 1), (1, 4), (0, 1), (1, 4)], - vec![], - vec![], - vec![], - AHashMap::new(), - ); - process_offsets(&mut encoding, true); - assert_eq!( - encoding, - Encoding::new( - vec![0; 5], - vec![], - vec!["Ġl".into(), "ove".into(), "Ġl".into(), "ove".into()], - vec![], - vec![(0, 1), (1, 4), (0, 1), (1, 4)], - vec![], - vec![], - vec![], - AHashMap::new(), - ) - ); - } - - #[test] - fn processor_trims_offsets() { - let start = Encoding::new( - vec![0; 5], - vec![], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![(0, 1), (0, 11), (11, 18), (18, 25), (25, 29)], - vec![], - vec![], - vec![], - AHashMap::new(), - ); - let expected = Encoding::new( - vec![0; 5], - vec![0; 5], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![(0, 0), (4, 9), (13, 18), (18, 23), (29, 29)], - vec![], - vec![], - vec![], - AHashMap::from_iter(vec![(0, 0..5)]), - ); - - let bytelevel = ByteLevel::default().trim_offsets(true); - assert_eq!( - expected, - bytelevel.process(start.clone(), None, false).unwrap() - ); - - let pair_expected = Encoding::new( - vec![0; 10], - vec![0, 0, 0, 0, 0, 1, 1, 1, 1, 1], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![ - (0, 0), - (4, 9), - (13, 18), - (18, 23), - (29, 29), - (0, 0), - (4, 9), - (13, 18), - (18, 23), - (29, 29), - ], - vec![], - vec![], - vec![], - AHashMap::from_iter(vec![(0, 0..5), (1, 5..10)]), - ); - assert_eq!( - pair_expected, - bytelevel - .process(start.clone(), Some(start), false) - .unwrap() - ); - } - - #[test] - fn decode_unknown_characters() { - let byte_level = ByteLevel::default(); - assert_eq!( - byte_level - .decode_chain(vec![ - "Hello".into(), - "Ġthere".into(), - "Ġdear".into(), - "Ġfriend!".into(), - "Ġ".into(), - "[PA D]".into() - ]) - .unwrap(), - vec!["Hello there dear friend! [PA D]"] - ); - } - - /// Splits from the pipeline conversion of `byte_level`, with the raw text of each - /// range transformed to the byte-level alphabet so it's comparable with the legacy - /// oracle's output strings. - fn pipeline_splits(byte_level: ByteLevel, text: &str) -> Vec<(String, (usize, usize))> { - use std::convert::TryFrom; - let converted = crate::pipeline::PipelinePreTokenizer::try_from( - crate::PreTokenizerWrapper::ByteLevel(byte_level), - ) - .unwrap(); - let mut out = Vec::new(); - crate::pipeline::PreTokenizer::pre_tokenize(&converted, text, &mut out).unwrap(); - out.iter() - .map(|s| { - let transformed = text[s.range()] - .bytes() - .map(|b| BYTES_CHAR_LOOKUP[b as usize]) - .collect(); - (transformed, (s.start as usize, s.end as usize)) - }) - .collect() - } - - fn legacy_splits(byte_level: ByteLevel, text: &str) -> Vec<(String, (usize, usize))> { - let mut pre = PreTokenizedString::from(text); - byte_level.pre_tokenize(&mut pre).unwrap(); - pre.get_splits(OffsetReferential::Original, OffsetType::Byte) - .into_iter() - .map(|(s, o, _)| (s.to_string(), o)) - .collect() - } - - #[test] - fn pipeline_conversion_matches_legacy_splits() { - let byte_level = ByteLevel::default().add_prefix_space(false); - for text in [ - "Hello my friend, how is your day going?", - "Hello there\nHello there", - "Hello there dear", - " leading space", - "trailing space ", - "i⭢j", - "中文 text 123, mixed! 🤗 emoji", - "I'm can't we've they'll it's", - "tabs\tand\r\nnewlines", - "café über naïve", - "!!!???...", - "single", - ] { - assert_eq!( - pipeline_splits(byte_level, text), - legacy_splits(byte_level, text), - "diverged on {text:?}", - ); - } - } - - #[test] - fn pipeline_conversion_no_regex_is_identity_split() { - let byte_level = ByteLevel::default() - .add_prefix_space(false) - .use_regex(false); - let text = "Hello my friend, how is your day going?"; - assert_eq!( - pipeline_splits(byte_level, text), - legacy_splits(byte_level, text), - ); - } - - #[test] - fn pipeline_conversion_rejects_add_prefix_space() { - // The range-based pipeline can't prepend text; converting must fail loudly - // rather than silently produce different splits than the legacy path. - use std::convert::TryFrom; - let byte_level = ByteLevel::default().add_prefix_space(true); - assert!(crate::pipeline::PipelinePreTokenizer::try_from( - crate::PreTokenizerWrapper::ByteLevel(byte_level) - ) - .is_err()); - } - - #[test] - fn deserialization() { - // Before use_regex - let byte_level: ByteLevel = serde_json::from_str( - r#"{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false}"#, - ) - .unwrap(); - assert!(byte_level.use_regex); - - // Loading works, new future BC test. - let byte_level: ByteLevel = serde_json::from_str( - r#"{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": true}"#, - ) - .unwrap(); - assert!(byte_level.use_regex); - - let byte_level: ByteLevel = serde_json::from_str( - r#"{"type": "ByteLevel", "add_prefix_space": true, "trim_offsets": false, "use_regex": false}"#, - ) - .unwrap(); - assert!(!byte_level.use_regex); - } -} diff --git a/tokenizers/tk-encode/src/pre_tokenizers/metaspace.rs b/tokenizers/tk-encode/src/pre_tokenizers/metaspace.rs index d821f11841..0a1634ee7b 100644 --- a/tokenizers/tk-encode/src/pre_tokenizers/metaspace.rs +++ b/tokenizers/tk-encode/src/pre_tokenizers/metaspace.rs @@ -1,4 +1,4 @@ -use crate::tokenizer::{Decoder, PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior}; +use crate::tokenizer::{PreTokenizedString, PreTokenizer, Result, SplitDelimiterBehavior}; use serde::{de, Deserialize, Deserializer, Serialize}; /// Enum representing options for the metaspace prepending scheme. @@ -147,31 +147,6 @@ impl PreTokenizer for Metaspace { } } -impl Decoder for Metaspace { - fn decode_chain(&self, tokens: Vec) -> Result> { - Ok(tokens - .iter() - .enumerate() - .map(|(i, token)| { - token - .chars() - .flat_map(|c| { - if c == self.replacement { - if i == 0 && self.prepend_scheme != PrependScheme::Never { - None - } else { - Some(' ') - } - } else { - Some(c) - } - }) - .collect::() - }) - .collect()) - } -} - #[cfg(test)] mod tests { use regex::Regex; @@ -353,18 +328,4 @@ mod tests { ] ); } - #[test] - fn decode() { - let decoder = Metaspace::new('▁', PrependScheme::Always, true); - let res = decoder - .decode_chain(vec!["▁Hey".into(), "▁friend!".into()]) - .unwrap(); - assert_eq!(res, vec!["Hey", " friend!"]); - - let decoder = Metaspace::new('▁', PrependScheme::Never, true); - let res = decoder - .decode_chain(vec!["▁Hey".into(), "▁friend!".into()]) - .unwrap(); - assert_eq!(res, vec![" Hey", " friend!"]); - } } diff --git a/tokenizers/tk-encode/src/processors/bert.rs b/tokenizers/tk-encode/src/processors/bert.rs deleted file mode 100644 index a1cab8abd1..0000000000 --- a/tokenizers/tk-encode/src/processors/bert.rs +++ /dev/null @@ -1,296 +0,0 @@ -use crate::tokenizer::{Encoding, PostProcessor, Result}; -use ahash::AHashMap; -use serde::{Deserialize, Serialize}; -use std::iter::FromIterator; - -#[derive(Serialize, Deserialize, Clone, Debug, PartialEq, Eq)] -#[serde(tag = "type")] -pub struct BertProcessing { - pub sep: (String, u32), - pub cls: (String, u32), -} - -impl Default for BertProcessing { - fn default() -> Self { - Self { - sep: ("[SEP]".into(), 102), - cls: ("[CLS]".into(), 101), - } - } -} - -impl BertProcessing { - pub fn new(sep: (String, u32), cls: (String, u32)) -> Self { - Self { sep, cls } - } - - pub fn get_sep_copy(&self) -> (String, u32) { - (self.sep.0.clone(), self.sep.1) - } - - pub fn get_cls_copy(&self) -> (String, u32) { - (self.cls.0.clone(), self.cls.1) - } -} - -#[derive(thiserror::Error, Debug)] -pub enum BertProcessorError { - #[error("encodings vector length must be either 1 or 2")] - InvalidEncodingsVecLength, -} - -impl PostProcessor for BertProcessing { - fn added_tokens(&self, is_pair: bool) -> usize { - if is_pair { - 3 - } else { - 2 - } - } - - fn process_encodings( - &self, - mut encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - if !add_special_tokens { - return Ok(encodings); - } - - let encodings: Vec = encodings - .iter_mut() - .enumerate() - .map(|(i, encoding)| { - if i == 0 { - let ids = [&[self.cls.1], encoding.get_ids(), &[self.sep.1]].concat(); - let type_ids = [&[0], encoding.get_type_ids(), &[0]].concat(); - let tokens = [ - std::slice::from_ref(&self.cls.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let words = [&[None], encoding.get_word_ids(), &[None]].concat(); - let offsets = [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let special_tokens = - [&[1u32], &vec![0; encoding.get_ids().len()][..], &[1]].concat(); - let attention_mask = vec![1; ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't contain - // the special tokens. - let sequence_ranges = AHashMap::from_iter(vec![(0, 1..ids.len() - 1)]); - Encoding::new( - ids, - type_ids, - tokens, - words, - offsets, - special_tokens, - attention_mask, - encoding - .take_overflowing() - .into_iter() - .map(|encoding| { - let ids = - [&[self.cls.1], encoding.get_ids(), &[self.sep.1]].concat(); - let type_ids = [&[0], encoding.get_type_ids(), &[0]].concat(); - let tokens = [ - std::slice::from_ref(&self.cls.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let words = [&[None], encoding.get_word_ids(), &[None]].concat(); - let offsets = - [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let special_tokens = - [&[1u32], &vec![0; encoding.get_ids().len()][..], &[1]] - .concat(); - let attention_mask = vec![1; ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't - // contain the special tokens. - let sequence_ranges = - AHashMap::from_iter(vec![(0, 1..ids.len() - 1)]); - Encoding::new( - ids, - type_ids, - tokens, - words, - offsets, - special_tokens, - attention_mask, - vec![], - sequence_ranges, - ) - }) - .collect(), - sequence_ranges, - ) - } else { - let pair_ids = [encoding.get_ids(), &[self.sep.1]].concat(); - let pair_type_ids = [encoding.get_type_ids(), &[1]].concat(); - let pair_tokens = - [encoding.get_tokens(), std::slice::from_ref(&self.sep.0)].concat(); - let pair_words = [encoding.get_word_ids(), &[None]].concat(); - let pair_offsets = [encoding.get_offsets(), &[(0, 0)]].concat(); - let pair_special_tokens = - [&vec![0u32; encoding.get_type_ids().len()][..], &[1]].concat(); - let pair_attention_mask = vec![1; pair_ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't contain - // the special tokens. - let pair_sequence_ranges = - AHashMap::from_iter(vec![(1, 0..pair_ids.len() - 1)]); - Encoding::new( - pair_ids, - pair_type_ids, - pair_tokens, - pair_words, - pair_offsets, - pair_special_tokens, - pair_attention_mask, - encoding - .take_overflowing() - .into_iter() - .map(|encoding| { - let pair_ids = [encoding.get_ids(), &[self.sep.1]].concat(); - let pair_type_ids = [encoding.get_type_ids(), &[1]].concat(); - let pair_tokens = - [encoding.get_tokens(), std::slice::from_ref(&self.sep.0)] - .concat(); - let pair_words = [encoding.get_word_ids(), &[None]].concat(); - let pair_offsets = [encoding.get_offsets(), &[(0, 0)]].concat(); - let pair_special_tokens = - [&vec![0u32; encoding.get_type_ids().len()][..], &[1]].concat(); - let pair_attention_mask = vec![1; pair_ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges - // shouldn't contain the special tokens. - let pair_sequence_ranges = - AHashMap::from_iter(vec![(1, 0..pair_ids.len() - 1)]); - Encoding::new( - pair_ids, - pair_type_ids, - pair_tokens, - pair_words, - pair_offsets, - pair_special_tokens, - pair_attention_mask, - vec![], - pair_sequence_ranges, - ) - }) - .collect(), - pair_sequence_ranges, - ) - } - }) - .collect(); - - Ok(encodings) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn serde() { - let bert = BertProcessing::default(); - let bert_r = r#"{"type":"BertProcessing","sep":["[SEP]",102],"cls":["[CLS]",101]}"#; - assert_eq!(serde_json::to_string(&bert).unwrap(), bert_r); - assert_eq!( - serde_json::from_str::(bert_r).unwrap(), - bert - ); - } - - #[test] - fn bert_processing() { - let processor = BertProcessing::default(); - assert_eq!(processor.added_tokens(false), 2); - assert_eq!(processor.added_tokens(true), 3); - - use crate::Token; - let encoding = Encoding::from_tokens( - vec![ - Token::new(12, "Hello".into(), (0, 5)), - Token::new(14, "there".into(), (6, 11)), - ], - 0, - ); - let pair = Encoding::from_tokens(vec![Token::new(15, "pair".into(), (0, 4))], 0); - let single_encoding = processor.process(encoding.clone(), None, true).unwrap(); - assert_eq!( - single_encoding, - Encoding::new( - vec![101, 12, 14, 102], - vec![0, 0, 0, 0], - vec![ - "[CLS]".into(), - "Hello".into(), - "there".into(), - "[SEP]".into() - ], - vec![None, None, None, None], - vec![(0, 0), (0, 5), (6, 11), (0, 0)], - vec![1, 0, 0, 1], - vec![1, 1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 1..3)]), - ) - ); - assert_eq!(single_encoding.token_to_sequence(2), Some(0)); - assert_eq!(single_encoding.token_to_sequence(3), None); - let pair_encoding = processor - .process(encoding.clone(), Some(pair.clone()), true) - .unwrap(); - assert_eq!( - pair_encoding, - Encoding::new( - vec![101, 12, 14, 102, 15, 102], - vec![0, 0, 0, 0, 1, 1], - vec![ - "[CLS]".into(), - "Hello".into(), - "there".into(), - "[SEP]".into(), - "pair".into(), - "[SEP]".into() - ], - vec![None, None, None, None, None, None], - vec![(0, 0), (0, 5), (6, 11), (0, 0), (0, 4), (0, 0)], - vec![1, 0, 0, 1, 0, 1], - vec![1, 1, 1, 1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 1..3), (1, 4..5)]), - ) - ); - assert_eq!(pair_encoding.token_to_sequence(2), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(3), None); - assert_eq!(pair_encoding.token_to_sequence(4), Some(1)); - assert_eq!(pair_encoding.token_to_sequence(5), None); - - // No special tokens - let pair_encoding = processor.process(encoding, Some(pair), false).unwrap(); - assert_eq!( - pair_encoding, - Encoding::new( - vec![12, 14, 15], - vec![0, 0, 1], - vec!["Hello".into(), "there".into(), "pair".into(),], - vec![None, None, None], - vec![(0, 5), (6, 11), (0, 4)], - vec![0, 0, 0], - vec![1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 0..2), (1, 2..3)]), - ) - ); - assert_eq!(pair_encoding.token_to_sequence(0), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(1), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(2), Some(1)); - } -} diff --git a/tokenizers/tk-encode/src/processors/mod.rs b/tokenizers/tk-encode/src/processors/mod.rs deleted file mode 100644 index 869cc68912..0000000000 --- a/tokenizers/tk-encode/src/processors/mod.rs +++ /dev/null @@ -1,128 +0,0 @@ -pub mod bert; -pub mod roberta; -pub mod sequence; -pub mod template; - -// Re-export these as processors -pub use super::pre_tokenizers::byte_level; - -use serde::{Deserialize, Serialize}; - -use crate::pre_tokenizers::byte_level::ByteLevel; -use crate::processors::bert::BertProcessing; -use crate::processors::roberta::RobertaProcessing; -use crate::processors::sequence::Sequence; -use crate::processors::template::TemplateProcessing; -use crate::{Encoding, PostProcessor, Result}; - -#[derive(Serialize, Deserialize, PartialEq, Debug, Clone, Eq)] -#[serde(untagged)] -pub enum PostProcessorWrapper { - // Roberta must be before Bert for deserialization (serde does not validate tags) - Roberta(RobertaProcessing), - Bert(BertProcessing), - ByteLevel(ByteLevel), - Template(TemplateProcessing), - Sequence(Sequence), -} - -impl PostProcessor for PostProcessorWrapper { - fn added_tokens(&self, is_pair: bool) -> usize { - match self { - Self::Bert(bert) => bert.added_tokens(is_pair), - Self::ByteLevel(bl) => bl.added_tokens(is_pair), - Self::Roberta(roberta) => roberta.added_tokens(is_pair), - Self::Template(template) => template.added_tokens(is_pair), - Self::Sequence(bl) => bl.added_tokens(is_pair), - } - } - - fn process_encodings( - &self, - encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - match self { - Self::Bert(bert) => bert.process_encodings(encodings, add_special_tokens), - Self::ByteLevel(bl) => bl.process_encodings(encodings, add_special_tokens), - Self::Roberta(roberta) => roberta.process_encodings(encodings, add_special_tokens), - Self::Template(template) => template.process_encodings(encodings, add_special_tokens), - Self::Sequence(bl) => bl.process_encodings(encodings, add_special_tokens), - } - } -} - -impl_enum_from!(BertProcessing, PostProcessorWrapper, Bert); -impl_enum_from!(ByteLevel, PostProcessorWrapper, ByteLevel); -impl_enum_from!(RobertaProcessing, PostProcessorWrapper, Roberta); -impl_enum_from!(TemplateProcessing, PostProcessorWrapper, Template); -impl_enum_from!(Sequence, PostProcessorWrapper, Sequence); - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn deserialize_bert_roberta_correctly() { - let roberta = RobertaProcessing::default(); - let roberta_r = r#"{ - "type":"RobertaProcessing", - "sep":["",2], - "cls":["",0], - "trim_offsets":true, - "add_prefix_space":true - }"# - .replace(char::is_whitespace, ""); - assert_eq!(serde_json::to_string(&roberta).unwrap(), roberta_r); - assert_eq!( - serde_json::from_str::(&roberta_r).unwrap(), - PostProcessorWrapper::Roberta(roberta) - ); - - let bert = BertProcessing::default(); - let bert_r = r#"{"type":"BertProcessing","sep":["[SEP]",102],"cls":["[CLS]",101]}"#; - assert_eq!(serde_json::to_string(&bert).unwrap(), bert_r); - assert_eq!( - serde_json::from_str::(bert_r).unwrap(), - PostProcessorWrapper::Bert(bert) - ); - } - - #[test] - fn post_processor_deserialization_no_type() { - let json = r#"{"add_prefix_space": true, "trim_offsets": false, "use_regex": false}"#; - let reconstructed = serde_json::from_str::(json); - match reconstructed { - Err(err) => assert_eq!( - err.to_string(), - "data did not match any variant of untagged enum PostProcessorWrapper" - ), - _ => panic!("Expected an error here"), - } - - let json = r#"{"sep":["[SEP]",102],"cls":["[CLS]",101]}"#; - let reconstructed = serde_json::from_str::(json); - assert!(matches!( - reconstructed.unwrap(), - PostProcessorWrapper::Bert(_) - )); - - let json = - r#"{"sep":["",2], "cls":["",0], "trim_offsets":true, "add_prefix_space":true}"#; - let reconstructed = serde_json::from_str::(json); - assert!(matches!( - reconstructed.unwrap(), - PostProcessorWrapper::Roberta(_) - )); - - let json = r#"{"type":"RobertaProcessing", "sep":["",2] }"#; - let reconstructed = serde_json::from_str::(json); - match reconstructed { - Err(err) => assert_eq!( - err.to_string(), - "data did not match any variant of untagged enum PostProcessorWrapper" - ), - _ => panic!("Expected an error here"), - } - } -} diff --git a/tokenizers/tk-encode/src/processors/roberta.rs b/tokenizers/tk-encode/src/processors/roberta.rs deleted file mode 100644 index f2a47a9d38..0000000000 --- a/tokenizers/tk-encode/src/processors/roberta.rs +++ /dev/null @@ -1,341 +0,0 @@ -use crate::processors::byte_level::process_offsets; -use crate::tokenizer::{Encoding, PostProcessor, Result}; -use ahash::AHashMap; -use serde::{Deserialize, Serialize}; -use std::iter::FromIterator; - -#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)] -#[serde(tag = "type")] -pub struct RobertaProcessing { - pub sep: (String, u32), - pub cls: (String, u32), - pub trim_offsets: bool, - pub add_prefix_space: bool, -} - -impl Default for RobertaProcessing { - fn default() -> Self { - Self { - sep: ("".into(), 2), - cls: ("".into(), 0), - trim_offsets: true, - add_prefix_space: true, - } - } -} - -impl RobertaProcessing { - pub fn new(sep: (String, u32), cls: (String, u32)) -> Self { - Self { - sep, - cls, - ..Default::default() - } - } - - #[must_use] - pub fn trim_offsets(mut self, v: bool) -> Self { - self.trim_offsets = v; - self - } - - #[must_use] - pub fn add_prefix_space(mut self, v: bool) -> Self { - self.add_prefix_space = v; - self - } - - pub fn get_sep_copy(&self) -> (String, u32) { - (self.sep.0.clone(), self.sep.1) - } - - pub fn get_cls_copy(&self) -> (String, u32) { - (self.cls.0.clone(), self.cls.1) - } -} - -impl PostProcessor for RobertaProcessing { - fn added_tokens(&self, is_pair: bool) -> usize { - if is_pair { - 4 - } else { - 2 - } - } - - fn process_encodings( - &self, - mut encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - if self.trim_offsets { - for encoding in encodings.iter_mut() { - process_offsets(encoding, self.add_prefix_space); - encoding - .get_overflowing_mut() - .iter_mut() - .for_each(|encoding| process_offsets(encoding, self.add_prefix_space)); - } - } - - // Roberta is weird, and every encoding is type_id=0. - encodings - .iter_mut() - .for_each(|encoding| encoding.set_type_ids(vec![0; encoding.len()])); - - if !add_special_tokens { - return Ok(encodings); - } - - let encodings: Vec = encodings - .iter_mut() - .enumerate() - .map(|(i, encoding)| { - if i == 0 { - let ids = [&[self.cls.1], encoding.get_ids(), &[self.sep.1]].concat(); - let type_ids = [&[0], encoding.get_type_ids(), &[0]].concat(); - let tokens = [ - std::slice::from_ref(&self.cls.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let words = [&[None], encoding.get_word_ids(), &[None]].concat(); - let offsets = [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let special_tokens = - [&[1u32], &vec![0; encoding.get_ids().len()][..], &[1]].concat(); - let attention_mask = vec![1; ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't contain - // the special tokens. - let sequence_ranges = AHashMap::from_iter(vec![(0, 1..ids.len() - 1)]); - Encoding::new( - ids, - type_ids, - tokens, - words, - offsets, - special_tokens, - attention_mask, - encoding - .take_overflowing() - .into_iter() - .map(|encoding| { - let ids = - [&[self.cls.1], encoding.get_ids(), &[self.sep.1]].concat(); - let type_ids = vec![0; encoding.get_ids().len() + 2]; - let tokens = [ - std::slice::from_ref(&self.cls.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let words = [&[None], encoding.get_word_ids(), &[None]].concat(); - let offsets = - [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let special_tokens = - [&[1u32], &vec![0; encoding.get_ids().len()][..], &[1]] - .concat(); - let attention_mask = vec![1; ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't - // contain the special tokens. - let sequence_ranges = - AHashMap::from_iter(vec![(0, 1..ids.len() - 1)]); - Encoding::new( - ids, - type_ids, - tokens, - words, - offsets, - special_tokens, - attention_mask, - vec![], - sequence_ranges, - ) - }) - .collect(), - sequence_ranges, - ) - } else { - let pair_ids = [&[self.sep.1], encoding.get_ids(), &[self.sep.1]].concat(); - let pair_type_ids = vec![0; encoding.get_ids().len() + 2]; - let pair_tokens = [ - std::slice::from_ref(&self.sep.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let pair_words = [&[None], encoding.get_word_ids(), &[None]].concat(); - let pair_offsets = [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let pair_special_tokens = - [&[1], &vec![0u32; encoding.get_type_ids().len()][..], &[1]].concat(); - let pair_attention_mask = vec![1; pair_ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges shouldn't contain - // the special tokens. - let pair_sequence_ranges = - AHashMap::from_iter(vec![(1, 1..pair_ids.len() - 1)]); - Encoding::new( - pair_ids, - pair_type_ids, - pair_tokens, - pair_words, - pair_offsets, - pair_special_tokens, - pair_attention_mask, - encoding - .take_overflowing() - .into_iter() - .map(|encoding| { - let pair_ids = - [&[self.sep.1], encoding.get_ids(), &[self.sep.1]].concat(); - let pair_type_ids = vec![0; encoding.get_ids().len() + 2]; - let pair_tokens = [ - std::slice::from_ref(&self.sep.0), - encoding.get_tokens(), - std::slice::from_ref(&self.sep.0), - ] - .concat(); - let pair_words = - [&[None], encoding.get_word_ids(), &[None]].concat(); - let pair_offsets = - [&[(0, 0)], encoding.get_offsets(), &[(0, 0)]].concat(); - let pair_special_tokens = - [&[1], &vec![0u32; encoding.get_type_ids().len()][..], &[1]] - .concat(); - let pair_attention_mask = vec![1; pair_ids.len()]; - - // For compatibility with `TemplateProcessing`, the sequence_ranges - // shouldn't contain the special tokens. - let pair_sequence_ranges = - AHashMap::from_iter(vec![(1, 1..pair_ids.len() - 1)]); - Encoding::new( - pair_ids, - pair_type_ids, - pair_tokens, - pair_words, - pair_offsets, - pair_special_tokens, - pair_attention_mask, - vec![], - pair_sequence_ranges, - ) - }) - .collect(), - pair_sequence_ranges, - ) - } - }) - .collect(); - - Ok(encodings) - } -} - -#[cfg(test)] -mod tests { - use super::*; - - #[test] - fn serde() { - let roberta = RobertaProcessing::default(); - let roberta_r = r#"{ - "type":"RobertaProcessing", - "sep":["",2], - "cls":["",0], - "trim_offsets":true, - "add_prefix_space":true - }"# - .replace(char::is_whitespace, ""); - assert_eq!(serde_json::to_string(&roberta).unwrap(), roberta_r); - assert_eq!( - serde_json::from_str::(&roberta_r).unwrap(), - roberta - ); - } - - #[test] - fn roberta_processing() { - let processor = RobertaProcessing::default(); - assert_eq!(processor.added_tokens(false), 2); - assert_eq!(processor.added_tokens(true), 4); - - use crate::Token; - let encoding = Encoding::from_tokens( - vec![ - Token::new(12, "Hello".into(), (0, 5)), - Token::new(14, "there".into(), (6, 11)), - ], - 0, - ); - let pair = Encoding::from_tokens(vec![Token::new(15, "pair".into(), (0, 4))], 0); - let single_encoding = processor.process(encoding.clone(), None, true).unwrap(); - assert_eq!( - single_encoding, - Encoding::new( - vec![0, 12, 14, 2], - vec![0, 0, 0, 0], - vec!["".into(), "Hello".into(), "there".into(), "".into()], - vec![None, None, None, None], - vec![(0, 0), (0, 5), (6, 11), (0, 0)], - vec![1, 0, 0, 1], - vec![1, 1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 1..3)]), - ) - ); - assert_eq!(single_encoding.token_to_sequence(2), Some(0)); - assert_eq!(single_encoding.token_to_sequence(3), None); - let pair_encoding = processor - .process(encoding.clone(), Some(pair.clone()), true) - .unwrap(); - assert_eq!( - pair_encoding, - Encoding::new( - vec![0, 12, 14, 2, 2, 15, 2], - vec![0, 0, 0, 0, 0, 0, 0], - vec![ - "".into(), - "Hello".into(), - "there".into(), - "".into(), - "".into(), - "pair".into(), - "".into() - ], - vec![None, None, None, None, None, None, None], - vec![(0, 0), (0, 5), (6, 11), (0, 0), (0, 0), (0, 4), (0, 0)], - vec![1, 0, 0, 1, 1, 0, 1], - vec![1, 1, 1, 1, 1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 1..3), (1, 5..6)]), - ) - ); - assert_eq!(pair_encoding.token_to_sequence(2), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(3), None); - assert_eq!(pair_encoding.token_to_sequence(4), None); - assert_eq!(pair_encoding.token_to_sequence(5), Some(1)); - assert_eq!(pair_encoding.token_to_sequence(6), None); - - // No special tokens - let pair_encoding = processor.process(encoding, Some(pair), false).unwrap(); - assert_eq!( - pair_encoding, - Encoding::new( - vec![12, 14, 15], - vec![0, 0, 0], - vec!["Hello".into(), "there".into(), "pair".into(),], - vec![None, None, None], - vec![(0, 5), (6, 11), (0, 4)], - vec![0, 0, 0], - vec![1, 1, 1], - vec![], - AHashMap::from_iter(vec![(0, 0..2), (1, 2..3)]), - ) - ); - assert_eq!(pair_encoding.token_to_sequence(0), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(1), Some(0)); - assert_eq!(pair_encoding.token_to_sequence(2), Some(1)); - } -} diff --git a/tokenizers/tk-encode/src/processors/sequence.rs b/tokenizers/tk-encode/src/processors/sequence.rs deleted file mode 100644 index f44cf54ac8..0000000000 --- a/tokenizers/tk-encode/src/processors/sequence.rs +++ /dev/null @@ -1,172 +0,0 @@ -use crate::processors::PostProcessorWrapper; -use crate::tokenizer::{Encoding, PostProcessor, Result}; -use crate::utils::macro_rules_attribute; -use serde::{Deserialize, Serialize}; - -#[derive(Clone, Debug, PartialEq, Eq)] -#[macro_rules_attribute(impl_serde_type!)] -pub struct Sequence { - processors: Vec, -} - -impl Sequence { - pub fn new(processors: Vec) -> Self { - Self { processors } - } - - pub fn get(&self, index: usize) -> Option<&PostProcessorWrapper> { - self.processors.get(index) - } - - pub fn get_mut(&mut self, index: usize) -> Option<&mut PostProcessorWrapper> { - self.processors.get_mut(index) - } - - pub fn set_mut(&mut self, index: usize, post_proc: PostProcessorWrapper) { - self.processors[index] = post_proc; - } -} - -impl AsRef<[PostProcessorWrapper]> for Sequence { - fn as_ref(&self) -> &[PostProcessorWrapper] { - &self.processors - } -} - -impl AsMut<[PostProcessorWrapper]> for Sequence { - fn as_mut(&mut self) -> &mut [PostProcessorWrapper] { - &mut self.processors - } -} - -impl IntoIterator for Sequence { - type Item = PostProcessorWrapper; - type IntoIter = std::vec::IntoIter; - - fn into_iter(self) -> Self::IntoIter { - self.processors.into_iter() - } -} - -impl PostProcessor for Sequence { - fn added_tokens(&self, is_pair: bool) -> usize { - self.processors - .iter() - .map(|p| p.added_tokens(is_pair)) - .sum::() - } - - fn process_encodings( - &self, - mut encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - for processor in &self.processors { - encodings = processor.process_encodings(encodings, add_special_tokens)?; - } - Ok(encodings) - } -} - -#[cfg(test)] -mod tests { - use super::*; - use crate::processors::{ByteLevel, PostProcessorWrapper}; - use crate::tokenizer::{Encoding, PostProcessor}; - use ahash::AHashMap; - use std::iter::FromIterator; - - #[test] - fn process_chain() { - let start = Encoding::new( - vec![0; 5], - vec![0; 5], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![(0, 1), (0, 11), (11, 18), (18, 25), (25, 29)], - vec![], - vec![], - vec![], - AHashMap::new(), - ); - - let bytelevel = ByteLevel::default().trim_offsets(true); - let sequence = Sequence::new(vec![PostProcessorWrapper::ByteLevel(bytelevel)]); - let expected = Encoding::new( - vec![0; 5], - vec![0; 5], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![(0, 0), (4, 9), (13, 18), (18, 23), (29, 29)], - vec![], - vec![], - vec![], - AHashMap::from_iter(vec![(0, 0..5)]), - ); - - assert_eq!( - expected, - bytelevel.process(start.clone(), None, false).unwrap() - ); - assert_eq!( - expected, - sequence.process(start.clone(), None, false).unwrap() - ); - - let pair_expected = Encoding::new( - vec![0; 10], - vec![0, 0, 0, 0, 0, 1, 1, 1, 1, 1], - vec![ - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - "Ġ".into(), - "ĠĠĠĠHelloĠĠ".into(), - "ĠĠHello".into(), - "HelloĠĠ".into(), - "ĠĠĠĠ".into(), - ], - vec![], - vec![ - (0, 0), - (4, 9), - (13, 18), - (18, 23), - (29, 29), - (0, 0), - (4, 9), - (13, 18), - (18, 23), - (29, 29), - ], - vec![], - vec![], - vec![], - AHashMap::from_iter(vec![(0, 0..5), (1, 5..10)]), - ); - assert_eq!( - pair_expected, - bytelevel - .process(start.clone(), Some(start.clone()), false) - .unwrap() - ); - assert_eq!( - pair_expected, - sequence.process(start.clone(), Some(start), false).unwrap() - ); - } -} diff --git a/tokenizers/tk-encode/src/processors/template.rs b/tokenizers/tk-encode/src/processors/template.rs deleted file mode 100644 index 4ca93bc6a5..0000000000 --- a/tokenizers/tk-encode/src/processors/template.rs +++ /dev/null @@ -1,1156 +0,0 @@ -//! # Template Processing -//! -//! Provides a way to specify templates in order to add the special tokens to each -//! input sequence as relevant. -//! -//! ## Example -//! -//! Let's take `BERT` tokenizer as an example. It uses two special tokens, used to -//! delimitate each sequence. `[CLS]` is always used at the beginning of the first -//! sequence, and `[SEP]` is added at the end of both the first, and the pair -//! sequences. The final result looks like this: -//! - Single sequence: `[CLS] Hello there [SEP]` -//! - Pair sequences: `[CLS] My name is Anthony [SEP] What is my name? [SEP]` -//! -//! With the type ids as following: -//! ```markdown -//! [CLS] ... [SEP] ... [SEP] -//! 0 0 0 1 1 -//! ``` -//! -//! So, we can define a [`TemplateProcessing`] that will achieve this result: -//! ``` -//! # use tk_encode::processors::template::TemplateProcessing; -//! let template = TemplateProcessing::builder() -//! // The template when we only have a single sequence: -//! .try_single(vec!["[CLS]", "$0", "[SEP]"]).unwrap() -//! // Same as: -//! .try_single("[CLS] $0 [SEP]").unwrap() -//! -//! // The template when we have both sequences: -//! .try_pair(vec!["[CLS]:0", "$A:0", "[SEP]:0", "$B:1", "[SEP]:1"]).unwrap() -//! // Same as: -//! .try_pair("[CLS]:0 $A:0 [SEP]:0 $B:1 [SEP]:1").unwrap() -//! // Or: -//! .try_pair("[CLS] $0 [SEP] $B:1 [SEP]:1").unwrap() -//! -//! // The list of special tokens used by each sequences -//! .special_tokens(vec![("[CLS]", 1), ("[SEP]", 0)]) -//! .build() -//! .unwrap(); -//! ``` -//! -//! In this example, each input sequence is identified using a `$` construct. This identifier -//! lets us specify each input sequence, and the type_id to use. When nothing is specified, -//! it uses the default values. Here are the different ways to specify it: -//! - Specifying the sequence, with default `type_id == 0`: `$A` or `$B` -//! - Specifying the `type_id` with default `sequence == A`: `$0`, `$1`, `$2`, ... -//! - Specifying both: `$A:0`, `$B:1`, ... -//! -//! The same construct is used for special tokens: `(:)?`. -//! -//! **Warning**: You must ensure that you are giving the correct tokens/ids as these will -//! be added to the `Encoding` without any further check. If the given ids correspond to -//! something totally different in a `Tokenizer` using this `PostProcessor`, it might lead -//! to unexpected results. -//! -//! [`TemplateProcessing`]: struct.TemplateProcessing.html -//! -use crate::{Encoding, PostProcessor, Result}; -use ahash::{AHashMap, AHashSet}; -use itertools::Itertools; -use serde::{Deserialize, Serialize}; -use std::convert::{TryFrom, TryInto}; -use std::result::Result as StdResult; - -/// Represents any sequences received as input of the PostProcessor -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Eq)] -pub enum Sequence { - /// This is the first sequence, the one that is always specified - A, - /// This is the pair sequence, that is optional - B, -} - -/// Represents the different kind of pieces that constitute a template. -/// It can be either the input sequence or a [`SpecialToken`]: -/// -/// - The `Sequence` has an associated `type_id` which is used by default -/// for any token inside this sequence. The `Sequence` corresponds to one -/// of the input sequence given as input of the `PostProcessor`. -/// -/// - The `SpecialToken` has an associated `id`. It corresponds to a [`SpecialToken`]. -/// -/// The easiest way to build a `Piece` is actually by converting it from a string: -/// ``` -/// # use tk_encode::processors::template::Piece; -/// # use std::convert::TryFrom; -/// let sequence_with_type_id_0 = Piece::try_from("$0").unwrap(); -/// let sequence_with_type_id_1 = Piece::try_from("$1").unwrap(); -/// let special_token_cls = Piece::try_from("[CLS]").unwrap(); -/// ``` -/// -/// [`SpecialToken`]: struct.SpecialToken.html -/// -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Eq)] -pub enum Piece { - Sequence { id: Sequence, type_id: u32 }, - SpecialToken { id: String, type_id: u32 }, -} - -impl Piece { - fn extract_id(s: &str) -> Option { - if s.starts_with('$') { - let rest = &s['$'.len_utf8()..]; - - // If the id is just `$`, we use 0 as type_id, and Sequence A - match rest { - "" => Some(Self::Sequence { - id: Sequence::A, - type_id: 0, - }), - "A" | "a" => Some(Self::Sequence { - id: Sequence::A, - type_id: 0, - }), - "B" | "b" => Some(Self::Sequence { - id: Sequence::B, - type_id: 0, - }), - n => { - if let Ok(type_id) = n.parse::() { - Some(Self::Sequence { - id: Sequence::A, - type_id, - }) - } else { - None - } - } - } - } else { - Some(Self::SpecialToken { - id: s.to_owned(), - type_id: 0, - }) - } - } - - fn with_type_id(self, type_id: u32) -> Self { - match self { - Self::Sequence { id, .. } => Self::Sequence { id, type_id }, - Self::SpecialToken { id, .. } => Self::SpecialToken { id, type_id }, - } - } -} - -impl TryFrom for Piece { - type Error = String; - - fn try_from(s: String) -> StdResult { - let parts = s.split(':').collect::>(); - - let err = || format!("Cannot build Piece from string \"{s}\""); - match parts.as_slice() { - [id, type_id] => { - let type_id: u32 = type_id.parse().map_err(|_| err())?; - let piece = Self::extract_id(id).ok_or_else(err)?; - Ok(piece.with_type_id(type_id)) - } - [id] => Self::extract_id(id).ok_or_else(err), - _ => Err(err()), - } - } -} - -impl TryFrom<&str> for Piece { - type Error = String; - - fn try_from(s: &str) -> StdResult { - Piece::try_from(s.to_owned()) - } -} - -/// Represents a bunch of tokens to be used in a template. -/// Usually, special tokens have only one associated id/token but in -/// some cases, it might be interesting to have multiple ids/tokens. -/// -/// # Examples -/// ``` -/// # use tk_encode::processors::template::SpecialToken; -/// // Simple cases, where a single id/token is necessary: -/// let cls = SpecialToken::from(("[CLS]", 1)); -/// let sep = SpecialToken::from((0, "[SEP]")); // The order in the tuple is not important -/// -/// // More complex case with multiple values: -/// let complex = SpecialToken::new( -/// "A complex special token:".into(), -/// vec![0, 1, 2, 3, 4], -/// vec!["A".into(), "complex".into(), "special".into(), "token".into(), ":".into()] -/// ).unwrap(); -/// ``` -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Eq)] -pub struct SpecialToken { - /// A unique id used to identify this SpecialToken in the template - id: String, - /// The list of associated ids - ids: Vec, - /// The list of associated tokens - tokens: Vec, -} - -impl From<(String, u32)> for SpecialToken { - fn from(v: (String, u32)) -> Self { - Self { - id: v.0.clone(), - ids: vec![v.1], - tokens: vec![v.0], - } - } -} -impl From<(&str, u32)> for SpecialToken { - fn from(v: (&str, u32)) -> Self { - Self::from((v.0.to_owned(), v.1)) - } -} -impl From<(u32, String)> for SpecialToken { - fn from(v: (u32, String)) -> Self { - Self::from((v.1, v.0)) - } -} -impl From<(u32, &str)> for SpecialToken { - fn from(v: (u32, &str)) -> Self { - Self::from((v.1.to_owned(), v.0)) - } -} - -impl SpecialToken { - pub fn new(id: String, ids: Vec, tokens: Vec) -> Result { - if ids.len() != tokens.len() { - Err("SpecialToken: ids and tokens must be of the same length".into()) - } else { - Ok(Self { id, ids, tokens }) - } - } -} - -/// A Template represents a Vec<[`Piece`]>. -/// -/// We can easily build one as follows -/// ``` -/// # use tk_encode::processors::template::Template; -/// # use std::convert::TryFrom; -/// // By providing a `String` or `&str`, we just split on whitespaces: -/// let template = Template::try_from("[CLS] $0 [SEP]").unwrap(); -/// -/// // By providing pieces directly: -/// let template = Template::try_from(vec!["[CLS]", "$0", "[SEP]"]).unwrap(); -/// ``` -/// Both of these methods give the same result. -/// -/// [`Piece`]: enum.Piece.html -/// -#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Eq)] -#[serde(transparent)] -pub struct Template(Vec); - -impl TryFrom> for Template -where - T: TryInto, -{ - type Error = String; - - fn try_from(v: Vec) -> StdResult { - Ok(Self( - v.into_iter() - .map(|p| p.try_into()) - .collect::, Self::Error>>()?, - )) - } -} - -impl TryFrom for Template { - type Error = String; - - fn try_from(s: String) -> StdResult { - Self::try_from(s.as_ref()) - } -} - -impl TryFrom<&str> for Template { - type Error = String; - - fn try_from(s: &str) -> StdResult { - Self::try_from(s.split(' ').collect::>()) - } -} - -/// A bunch of [`SpecialToken`] represented by their ID. -/// Internally, `Tokens` is a `HashMap` and can be built -/// from a HashMap or a Vec<[`SpecialToken`]>. -/// -/// [`SpecialToken`]: struct.SpecialToken.html -#[derive(Debug, Clone, PartialEq, Default, Serialize, Deserialize, Eq)] -#[serde(transparent)] -pub struct Tokens( - #[serde(serialize_with = "crate::utils::ordered_map")] pub AHashMap, -); - -impl> From> for Tokens { - fn from(v: Vec) -> Self { - Self( - v.into_iter() - .map(|t| { - let token: SpecialToken = t.into(); - (token.id.clone(), token) - }) - .collect(), - ) - } -} - -impl From> for Tokens { - fn from(v: AHashMap) -> Self { - Self(v) - } -} - -/// This PostProcessor takes care of processing each input `Encoding` by applying -/// the corresponding template, before merging them in the final Encoding. -/// -/// A `Template` is actually a sequence of `Piece` that will be -/// concatenated together in the given order. Each `Piece` represents either -/// one of the input `Encoding` or a `SpecialToken`. -/// -/// ## Example -/// ``` -/// # use tk_encode::processors::template::TemplateProcessing; -/// let template = TemplateProcessing::builder() -/// .try_single("[CLS] $A [SEP]").unwrap() -/// .try_pair("[CLS] $A [SEP] $B:1 [SEP]:1").unwrap() -/// .special_tokens(vec![("[CLS]", 1), ("[SEP]", 0)]) -/// .build() -/// .unwrap(); -/// ``` -/// -#[derive(Debug, Clone, PartialEq, Builder, Serialize, Deserialize, Eq)] -#[serde(tag = "type", from = "TemplateProcessingDeserializer")] -#[builder(build_fn(validate = "Self::validate"))] -pub struct TemplateProcessing { - #[builder(try_setter, default = "\"$0\".try_into().unwrap()")] - pub single: Template, - #[builder(try_setter, default = "\"$A:0 $B:1\".try_into().unwrap()")] - pair: Template, - #[builder(setter(skip), default = "self.default_added(true)")] - #[serde(skip)] - added_single: usize, - #[builder(setter(skip), default = "self.default_added(false)")] - #[serde(skip)] - added_pair: usize, - #[builder(setter(into), default)] - special_tokens: Tokens, -} - -impl TemplateProcessing { - // Getter for `single` - pub fn get_single(&self) -> String { - format!("{:?}", self.single) - } - - // Setter for `single` - pub fn set_single(&mut self, single: Template) { - self.single = single; - } - - // Getter for `pair` - pub fn get_pair(&self) -> &Template { - &self.pair - } - - // Setter for `pair` - pub fn set_pair(&mut self, pair: Template) { - self.pair = pair; - } - - // Getter for `added_single` - pub fn get_added_single(&self) -> usize { - self.added_single - } - - // Setter for `added_single` - pub fn set_added_single(&mut self, added_single: usize) { - self.added_single = added_single; - } - - // Getter for `added_pair` - pub fn get_added_pair(&self) -> usize { - self.added_pair - } - - // Setter for `added_pair` - pub fn set_added_pair(&mut self, added_pair: usize) { - self.added_pair = added_pair; - } - - // Getter for `special_tokens` - pub fn get_special_tokens(&self) -> &Tokens { - &self.special_tokens - } - - // Setter for `special_tokens` - pub fn set_special_tokens(&mut self, special_tokens: Tokens) { - self.special_tokens = special_tokens; - } -} - -impl From<&str> for TemplateProcessingBuilderError { - fn from(e: &str) -> Self { - e.to_string().into() - } -} - -impl PartialEq for TemplateProcessingBuilderError { - fn eq(&self, other: &Self) -> bool { - self.to_string() == other.to_string() - } -} - -/// We use this custom deserializer to provided the values for `added_single` -/// and `added_pair` during deserialization, while not having to serialize them -#[doc(hidden)] -#[derive(Deserialize)] -#[serde(tag = "type")] -struct TemplateProcessingDeserializer { - single: Template, - pair: Template, - special_tokens: Tokens, -} -impl From for TemplateProcessing { - fn from(t: TemplateProcessingDeserializer) -> Self { - let added_single = count_added(&t.single, Some(&t.special_tokens)); - let added_pair = count_added(&t.pair, Some(&t.special_tokens)); - Self { - single: t.single, - pair: t.pair, - added_single, - added_pair, - special_tokens: t.special_tokens, - } - } -} - -/// Count the number of added tokens in the given template -fn count_added(container: &Template, special_tokens: Option<&Tokens>) -> usize { - container - .0 - .iter() - .map(|p| match p { - Piece::Sequence { .. } => 0, - Piece::SpecialToken { id, .. } => { - special_tokens.map_or(0, |spt| spt.0.get(id).map_or(0, |s| s.ids.len())) - } - }) - .sum() -} - -impl TemplateProcessingBuilder { - fn default_added(&self, is_single: bool) -> usize { - let container = if is_single { - self.single.as_ref() - } else { - self.pair.as_ref() - }; - container.map_or(0, |pieces| { - count_added(pieces, self.special_tokens.as_ref()) - }) - } - - fn validate(&self) -> std::result::Result<(), String> { - let pair_has_both = self.pair.as_ref().is_none_or(|pair| { - let mut has_a = false; - let mut has_b = false; - for piece in &pair.0 { - if let Piece::Sequence { - id: Sequence::A, .. - } = piece - { - has_a = true; - } - if let Piece::Sequence { - id: Sequence::B, .. - } = piece - { - has_b = true; - } - } - has_a && has_b - }); - if !pair_has_both { - return Err("Template for `pair` must use both sequences".into()); - } - - let check = |sp| { - let exist = self - .special_tokens - .as_ref() - .is_some_and(|map| map.0.contains_key(sp)); - - match exist { - false => Some(sp), - true => None, - } - }; - - let empty = []; - let missing: AHashSet<&str> = self - .single - .as_ref() - .map_or(empty.iter(), |s| s.0.iter()) - .chain(self.pair.as_ref().map_or(empty.iter(), |s| s.0.iter())) - .filter_map(|piece| match piece { - Piece::Sequence { .. } => None, - Piece::SpecialToken { id, .. } => check(id.as_ref()), - }) - .collect::>(); - - if missing.is_empty() { - Ok(()) - } else { - Err(format!( - "Missing SpecialToken(s) with id(s) `{}`", - missing.iter().join(", ") - )) - } - } -} - -impl Default for TemplateProcessing { - fn default() -> Self { - Self { - single: "$0".try_into().unwrap(), - pair: "$1".try_into().unwrap(), - added_single: 0, - added_pair: 0, - special_tokens: Tokens::default(), - } - } -} - -impl TemplateProcessing { - pub fn builder() -> TemplateProcessingBuilder { - TemplateProcessingBuilder::default() - } - - fn apply_template( - &self, - template: &[Piece], - mut encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - let final_encodings: Vec = template - .iter() - .flat_map(|piece| { - match piece { - Piece::Sequence { id, type_id } => { - let i = usize::from(*id != Sequence::A); - let encoding = &mut encodings[i]; - encoding.set_type_ids(vec![*type_id; encoding.len()]); - encoding.set_sequence_id(i); - Some(encoding.clone()) - } - Piece::SpecialToken { id, type_id } => { - if add_special_tokens { - let tok = &self.special_tokens.0[id]; // We already checked existence above - let len = tok.ids.len(); - - let encoding = Encoding::new( - tok.ids.clone(), - std::iter::repeat_n(*type_id, len).collect(), - tok.tokens.clone(), - // words - std::iter::repeat_n(None, len).collect(), - // offsets - std::iter::repeat_n((0, 0), len).collect(), - // special_tokens_mask - std::iter::repeat_n(1, len).collect(), - // attention_mask - std::iter::repeat_n(1, len).collect(), - // overflowing - vec![], - // sequence_range - AHashMap::new(), - ); - Some(encoding) - } else { - None - } - } - } - }) - .collect(); - - //let mut pair = if encodings.len() > 1 { - // Some(encodings.pop().unwrap()) - //} else { - // None - //}; - //let mut encoding = encodings.pop().unwrap(); - - //let pair_overflowing = pair.as_mut().map_or(vec![], |e| e.take_overflowing()); - //let mut overflowing: Vec = encoding - // .take_overflowing() - // .iter() - // .map(|encoding| -> Result> { - // // 1. The pair itself - // let mut overflowings = self.apply_template( - // template, - // if encodings.len() > 1 { - // vec![encoding.clone(), encodings[1].clone()] - // } else { - // vec![encoding.clone()] - // }, - // add_special_tokens, - // )?; - - // // 2. Its overflowings - // for other_o in &pair_overflowing { - // overflowings.extend(self.apply_template( - // template, - // vec![encoding.clone(), other_o.clone()], - // add_special_tokens, - // )?); - // } - - // Ok(overflowings) - // }) - // .collect::>>>()? - // .into_iter() - // .flatten() - // .collect(); - //// We also need to combine the first sequence with all other overflowings - //overflowing.extend( - // pair_overflowing - // .into_iter() - // .map(|pair| { - // self.apply_template(template, vec![encoding.clone(), pair], add_special_tokens) - // }) - // .collect::>>()? - // .into_iter() - // .flatten(), - //); - - Ok(final_encodings) - } -} - -impl PostProcessor for TemplateProcessing { - fn added_tokens(&self, is_pair: bool) -> usize { - if is_pair { - self.added_pair - } else { - self.added_single - } - } - - fn process_encodings( - &self, - encodings: Vec, - add_special_tokens: bool, - ) -> Result> { - // let (encoding, pair): (Encoding, Option) = match encodings.len() { - // 1 => ( - // encodings - // .pop() - // .ok_or(ProcessorError::InvalidEncodingsVecLength)?, - // None, - // ), - // 2 => { - // let pair = encodings - // .pop() - // .ok_or(ProcessorError::InvalidEncodingsVecLength)?; - // let encoding = encodings - // .pop() - // .ok_or(ProcessorError::InvalidEncodingsVecLength)?; - // (encoding, Some(pair)) - // } - // _ => return Err(Box::new(ProcessorError::InvalidEncodingsVecLength)), - // }; - let template = match encodings.len() { - 2 => &self.pair.0, - 1 => &self.single.0, - _ => todo!(), - }; - let encodings = self.apply_template(template, encodings, add_special_tokens)?; - Ok(encodings) - } -} - -#[cfg(test)] -mod tests { - use super::*; - use std::convert::TryInto; - use std::iter::FromIterator; - - #[test] - fn piece_serde() { - let seq_0 = Piece::Sequence { - id: Sequence::A, - type_id: 0, - }; - let seq_0_s = r#"{"Sequence":{"id":"A","type_id":0}}"#; - - assert_eq!(serde_json::to_string(&seq_0).unwrap(), seq_0_s); - assert_eq!(serde_json::from_str::(seq_0_s).unwrap(), seq_0); - - let seq_1 = Piece::Sequence { - id: Sequence::B, - type_id: 1, - }; - let seq_1_s = r#"{"Sequence":{"id":"B","type_id":1}}"#; - assert_eq!(serde_json::to_string(&seq_1).unwrap(), seq_1_s); - assert_eq!(serde_json::from_str::(seq_1_s).unwrap(), seq_1); - - let spe = Piece::SpecialToken { - id: "[CLS]".into(), - type_id: 0, - }; - let spe_s = r#"{"SpecialToken":{"id":"[CLS]","type_id":0}}"#; - assert_eq!(serde_json::to_string(&spe).unwrap(), spe_s); - assert_eq!(serde_json::from_str::(spe_s).unwrap(), spe); - } - - #[test] - fn piece() { - assert_eq!( - Ok(Piece::Sequence { - id: Sequence::A, - type_id: 0 - }), - "$".try_into() - ); - assert_eq!( - Ok(Piece::Sequence { - id: Sequence::B, - type_id: 0 - }), - "$B".try_into() - ); - assert_eq!( - Ok(Piece::Sequence { - id: Sequence::A, - type_id: 1 - }), - "$1".try_into() - ); - assert_eq!( - Ok(Piece::Sequence { - id: Sequence::B, - type_id: 2 - }), - "$B:2".try_into() - ); - assert_eq!( - Ok(Piece::Sequence { - id: Sequence::A, - type_id: 1 - }), - "$:1".try_into() - ); - assert!(Piece::try_from("$C:1").is_err()); - assert!(Piece::try_from("$A:").is_err()); - } - - #[test] - fn special_token_serde() { - let simple = SpecialToken::from(("[CLS]", 0)); - let simple_s = r#"{"id":"[CLS]","ids":[0],"tokens":["[CLS]"]}"#; - assert_eq!(serde_json::to_string(&simple).unwrap(), simple_s); - assert_eq!( - serde_json::from_str::(simple_s).unwrap(), - simple - ); - - let complete = SpecialToken::new( - "[2FR]".into(), - vec![1, 2, 3], - vec!["convert".into(), "to".into(), "FR".into()], - ) - .unwrap(); - let complete_s = r#"{"id":"[2FR]","ids":[1,2,3],"tokens":["convert","to","FR"]}"#; - assert_eq!(serde_json::to_string(&complete).unwrap(), complete_s); - assert_eq!( - serde_json::from_str::(complete_s).unwrap(), - complete - ); - - let malformed = SpecialToken::new( - "[2FR]".into(), - vec![1, 2], - vec!["convert".into(), "to".into(), "FR".into()], - ); - assert!(malformed.is_err()); - let malformed = SpecialToken::new( - "[2FR]".into(), - vec![1, 2, 3], - vec!["convert".into(), "FR".into()], - ); - assert!(malformed.is_err()); - } - - #[test] - fn template_serde() { - let template = Template(vec![ - Piece::Sequence { - id: Sequence::A, - type_id: 0, - }, - Piece::SpecialToken { - id: "[CLS]".into(), - type_id: 0, - }, - ]); - let template_s = - r#"[{"Sequence":{"id":"A","type_id":0}},{"SpecialToken":{"id":"[CLS]","type_id":0}}]"#; - assert_eq!(serde_json::to_string(&template).unwrap(), template_s); - assert_eq!( - serde_json::from_str::