3745 lines
583 KiB
Plaintext
3745 lines
583 KiB
Plaintext
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!<arch>
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/ 0 0 0 0 1564 `
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É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@ É@_ZN6memchr4arch3all6memchr3One4iter17h959c40b7153d85e9E _ZN6memchr4arch3all6memchr3Two4iter17hdc537099db7543f4E _ZN6memchr4arch3all6memchr5Three4iter17h86fd82bfe8f9cf18E _ZN125_$LT$memchr..arch..all..packedpair..DefaultFrequencyRank$u20$as$u20$memchr..arch..all..packedpair..HeuristicFrequencyRank$GT$4rank17hdcab19c08d575569E _ZN6memchr4arch3all9rabinkarp12is_equal_raw17h12c4a457d43b13e6E _ZN6memchr4arch3all6twoway5Shift7forward17h842940c2149920cdE _ZN6memchr4arch3all6twoway5Shift7reverse17h069dac525438310eE _ZN6memchr4arch3all6twoway6Suffix7forward17h5924ef3c2700438cE _ZN6memchr4arch3all6twoway6Suffix7reverse17h83a0a9797fd6b738E _ZN71_$LT$memchr..memmem..searcher..Searcher$u20$as$u20$core..fmt..Debug$GT$3fmt17h6368a84e1a5bb1a4E _ZN6memchr6memmem8searcher22searcher_kind_one_byte17h78ebf036e49aee7eE _ZN6memchr6memmem8searcher21searcher_kind_two_way17h677b65e295bd7869E _ZN6memchr6memmem8searcher36searcher_kind_two_way_with_prefilter17hc412fa3bf249dd6dE _ZN72_$LT$memchr..memmem..searcher..Prefilter$u20$as$u20$core..fmt..Debug$GT$3fmt17h9961c80cbc55dbfcE _ZN6memchr6memmem8searcher23prefilter_kind_fallback17hb3520f85d6046eadE _ZN83_$LT$memchr..memmem..FindIter$u20$as$u20$core..iter..traits..iterator..Iterator$GT$4next17ha40686698b5f6c56E _ZN83_$LT$memchr..memmem..FindIter$u20$as$u20$core..iter..traits..iterator..Iterator$GT$9size_hint17h8ee225160f9fc284E _ZN86_$LT$memchr..memmem..FindRevIter$u20$as$u20$core..iter..traits..iterator..Iterator$GT$4next17hd046d57e1c1a0ef2E // 62 `
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memchr-3021f628baf09828.memchr.1eff9c2f485baa5c-cgu.0.rcgu.o/
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lib.rmeta/ 0 0 0 644 573993 `
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asm linking ’„#.rmetarust
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À #rustc 1.90.0 (1159e78c4 2025-09-14)Á˜ø½E—y88àìOg[ -a0f3a77406fcd134Á ®‘K:k VQÛ‘å÷Ú†
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-896f64118b892ee1Á Ù$î„xÁLòd ƒCøm Q1 -d07b5e2c2a0f2336Á ÒµÅL ®Ùp,ØnWš÷*�Ó -eed239b623db52f0Á’ Êï#|Ø°*�ªuz�¥zÑ -22622f072d82cf02Á rustc_std_workspace_coreÁ¡Lˆ"'WycÈú®¨Ç?˜ -62776efff7f53db8Á �/»óoÊ•�Ú<ã] õ -c656a6ce8faf7d92Á cfg_ifÁNgpÝiä5R-z#ë~· -a28c175c29d7456aÁ miniz_oxideÁ'&=ÝTÒ4B1K8Ý=ïx -99a9ab44d6ca7927Á adler2ÁdR¯Š³Y^Ø÷v˜z¸ê -6814a63e25073aa9Á hashbrownÁøOvtÊ(äSÿídRœi è -a938d680cd164e6dÁ rustc_std_workspace_allocÁ”–«cÒXdŸEÁ¨:dn, -60b329376530a3eeÁ
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std_detectÁÌÆ0 >g×Äv U�„X -d0198f5966fd6781Á rustc_demangleÁùDw'$Oõú‚·:Ä -f9a3916c8c8bb672Á dlmallocÁßÊ '›U}ÌG#' w -d6bed5b52996429dÁ testsÁ,Á@ ú$©@ �,á…ú$Ö… {�,ÿlú$ôl —�,ªoú$Ÿo ª�,¨ú$� ²�,þÍú$óÍ �,Í.ú$Â. aarch64Á<íå\Ë®LÙ¼Ë wasm32Á4¾ét˜ simd128ÁL©Ô˜ x86_64Á4íå\ÌþDڴ̤ ImpÁ œŽ<èÙ<òŒèœçµ ByteÁ$Ì
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ú$´
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ú$ ³
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$± å\i ®Lw ¼i �é<§ étÙ éLê ÔÙ � avx2Á$ å\º þDÈ ´º �¤$º å þ � searcher_kind_sse2Á”¯l å\òk þD€l ´òk � searcher_kind_avx2Á”¨q å\ëp þDùp ´ëp � searcher_kind_simd128Á¬v ét…v éL–v Ô…v � searcher_kind_neonÁ”�{ å\ìz ®Lúz ¼ìz � prefilter_kind_sse2Áœ‚ï å\Åî þDÓî ´Åî � prefilter_kind_avx2Áœ‘ó å\Ôò þDâò ´Ôò � prefilter_kind_simd128Á´¬÷ ét„÷ éL•÷ Ô„÷ � prefilter_kind_neonÁœ¥û å\�û ®L�û ¼�û ��,²µ ú$§µ ” x86sse2Á<Ð;
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å\³;
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þDÁ;
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´³;
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” x86avx2Á<¹E
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å\œE
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þDªE
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´œE
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” aarch64neonÁ\¸O
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å\šO
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®L¨O
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¼šO
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” wasm_simd128Ád
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ét‹
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éLœ
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Ô‹
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˜ ® Ù
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macrosÁ logÁ Æ traceÁ archÁ Ø memchrÁ USIZE_BYTESÁ USIZE_ALIGNÁ !
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LOOP_BYTESÁ !Ô
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! findÁ $ ! rfindÁ & !¨ ! find_rawÁ ) ! rfind_rawÁ + ! count_rawÁ !ô . 'aÁ . 'hÁ !
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has_needleÁ ! confirmÁ 3¤ 3 3» 3ä
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7 3¨ 9 3 size_hintÁ <¤ < < next_backÁ ? AÔ
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AÀ C AÏ E Aæ G Aù I Aô K¤ K A¶ AÇ P¤ P P» Pä
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T P„ W¤ W W¦ Z \Ô
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\À ^ \Ï ` \æ b \ù d \ô f¤ f \¶ \Ç k¤ k k» kä
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o k„ r¤ r r¦ u
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has_zero_byteÁ w LOÁ w HIÁ splatÁ
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packedpairÁ { { default_rankÁ } RANKÁ ~ { €Ô
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€ with_pairÁ € find_prefilterÁ ƒ € pairÁ {†Ô
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† with_rankerÁ ˆ RÁ † with_indicesÁ † index1Á † index2Á { HeuristicFrequencyRankÁ � rankÁ { DefaultFrequencyRankÁ �
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{‘¡ {“¤ “Ë “¡ rabinkarpÁ — — ™Ô
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™À ™æ —�Ô
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�Ï �ù — is_fastÁ —¢Ô
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¢ forwardÁ ¢ reverseÁ ¢ rollÁ ¢Ê ¢ delÁ — is_equal_rawÁ shiftorÁ ª ª MaskÁ ª MAX_NEEDLE_LENÁ Ô
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¯ À twowayÁ ² ²²²²²² ¹Ô
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¹À ¹ find_with_prefilterÁ ¹ find_small_impÁ ¹ find_large_impÁ ²¿Ô
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¿Ï ¿ rfind_small_impÁ ¿ rfind_large_impÁ ²Äà Äï ²Çà Çï ²Ê¹ Ë ²ÍÔ
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Í containsÁ is_prefixÁ is_suffixÁ is_equalÁ � genericÁ Ôç Õ ÕÕÕÕÕ Û VÁ Û LOOP_SIZEÁ ÛÔ
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Û needle1Á Ûæ Ûù Û� â Û search_chunkÁ ä impl Fn(V::Mask) -> usizeÁ Õæ� æ– æÔ
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æ¯ æ needle2Á ææ æù æÛ îï Õð� ð– ðÔ
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ð¯ ðµ ð needle3Á ðæ ðù ðÛ ùï Õû Õý Õÿ ÿÔ
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ÿä
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‚ 5impl FnMut(*const u8, *const u8) -> Option<*const u8>Á ÿ¨ „ )impl FnMut(*const u8, *const u8) -> usizeÁ ÿ¦ †÷ ÿ„ Õ search_slice_with_rawÁ ‰÷ Õ fwd_byte_by_byteÁ ‹ FÁ Õ rev_byte_by_byteÁ �Â! Õ count_byte_by_byteÁ �Â! Ô° ‘ ‘‘‘‘‘‘‘‘ š� šÔ
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šÀ š… š
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find_in_chunkÁ š find_prefilter_in_chunkÁ š š min_haystack_lenÁ ‘ matchedÁ cowÁ ¤ ¤ ¦¤ ¦• ¦ä ¤ª¤ ªÔ
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¬ BÁ ª new_ownedÁ ª as_sliceÁ ª
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into_ownedÁ ¤±¤ ±Ô
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± $ extÁ µÞ ¶ distanceÁ ¶ as_usizeÁ µ ¹” ¹ñ$ ¹�% µ½” ½ñ$ ½�% ç Á ÁÁç Ä Á memrchrÁ Æ Á memchr2Á È Á memrchr2Á Ê Á memchr3Á Ì Á memrchr3Á Î Á memchr_iterÁ Ð Á memrchr_iterÁ Á memchr2_iterÁ Ó Á
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memrchr2_iterÁ Á memchr3_iterÁ Ö Á
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memrchr3_iterÁ Á Ù ÙÔ
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ÁÜ Ü» Üä
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ß Ü¨ á Ü„ Áä ä¦ æ Áè Áê êÔ
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Áí í» íä
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ð í„ Áó ó¦ õ Á÷ Áù ùÔ
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Á ü ü» üä
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ÿ ü„ Á
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‚ ‚¦ „ Á † Á
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memchr_rawÁ Á memrchr_rawÁ Á memchr2_rawÁ Á memrchr2_rawÁ Á memchr3_rawÁ Á memrchr3_rawÁ Á� memmemÁ � ��������� �
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� � � searcherÁ � ������ ¤Ô
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¥Ë ¤ÿ ¤À �©¥ � SearcherKindFnÁ � searcher_kind_emptyÁ � searcher_kind_one_byteÁ � searcher_kind_two_wayÁ � $searcher_kind_two_way_with_prefilterÁ �°Ô
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°Ï �³> �µ is_noneÁ �·‹ ¸Ë ¸ MAX_FALLBACK_RANKÁ ·À · find_simpleÁ ¼ �¾¥ � PrefilterKindFnÁ � prefilter_kind_fallbackÁ � MIN_SKIPSÁ  MIN_SKIP_BYTESÁ ÂÔ
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 updateÁ  is_effectiveÁ  is_inertÁ  skipsÁ �ʤ ÊÀ Êè/ � do_packed_searchÁ Î MIN_LENÁ Î MAX_LENÁ � find_iterÁ Ñ Ñ 'nÁ ÑÊ �
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rfind_iterÁ Õ Õ…1 ÕÊ �À �Ï � Û Û…1 ÛÔ
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Û°$ �à à…1 à» àä
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à„ �æ æ…1 æÔ
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æ°$ �ë ë…1 ë» ëä
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�ð…1 ðÔ
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ò†$ ðÀ ðì0 õ¤ õ ð°$ ðú ð needleÁ �û…1 ûÔ
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ý†$ ûÏ ÿ†$ û—1 �¤ � û°$ ûú ûº3 �‡Ô
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‡
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build_forwardÁ ‰…1 ‰†$ ‡ build_forward_with_rankerÁ Œ…1 ŒË Œ†$ ‡
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build_reverseÁ �…1 �†$ ‡ prefilterÁ º ” VectorÁ • BYTESÁ • ALIGNÁ •Ä •¤ • load_alignedÁ • load_unalignedÁ • movemaskÁ • cmpeqÁ •ç • • movemask_will_have_non_zeroÁ ” MoveMaskÁ ¡ "all_zeros_except_least_significantÁ ¡ has_non_zeroÁ ¡
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count_onesÁ ¡ç ¡ ¡ clear_least_significant_bitÁ ¡ first_offsetÁ ¡ last_offsetÁ ” ª get_for_offsetÁ ”¬�7 ¬¹7 ¬Í7 ¬ç ¬ ¬ï7 ¬’8 ¬¦8 OneÁ µ s1Á µ¢ ¸±
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»¥ OneIterÁ ½¤ ½ ½è+ ½ itÁ ¤  ±
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Ƥ Æ Æ¥ TwoÁ Ê£9 Ê s2Á Ê¢ Ê v2Á ϱ Ò¥ TwoIterÁ Ô¤ Ô Ôè+ Ô÷9 Ù¤ Ù Ù± ݤ Ý Ý¥ ThreeÁ á£9 áË: á s3Á ᢠáÝ: á v3Á è± ë¥ ThreeIterÁ í¤ í íè+ í÷9 ò¤ ò ò± ö¤ ö ö¥ { FinderÁ ú ú byte1Á ú byte2Á {þ± {{�¥ { PairÁ ƒè ƒö {†± {{ ‰¥ —¬= ‹ù ‹ hash_2powÁ —Ž± —�¥ — FinderRevÁ ’
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’ò —•± ——¥ —¤ ™
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™ò —œ± —— Ÿ¥ —
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¡> — £Œ — —
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¦³ ª¬= ¨ masksÁ © ¨
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needle_lenÁ ª¬¥ ²¬= ®
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®ò ²±± ²²´¥ ²ê> ¶
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¶ò ² ¹± ²
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² ¼¥ ² TwoWayÁ ¾ bytesetÁ ¾ critical_posÁ ¾ shiftÁ ² ± ²
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²Å¥ ² ShiftÁ Ç SmallÁ È periodÁ Ç LargeÁ ÊÓA ²Ì± ²²Ï¥ ² SuffixÁ Ñ posÁ Ñ™B ²Ô¥ ²
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SuffixKindÁ Ö MinimalÁ ×
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Ö MaximalÁ Ù
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²Û± ²²Þ¥ ² SuffixOrderingÁ à AcceptÁ á
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à SkipÁ ã
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à PushÁ å
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²ç± ²²ê¥ ² ApproximateByteSetÁ ì
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ìò ²ï± ²²ò¥ Õ˜9 ô� ô£9 ô¢ Õø� ø± Õû� Õý� ý¥ Õ¸: €� €£9 €Ë: €¢ €Ý: Õ †� †± Õ
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‰� Õ ‹� ‹¥ Õè; Ž� Ž£9 ŽË: Ž…< Ž¢ ŽÝ: ŽŸ< Õ –� –± Õ
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™� Õ›� ›¥ Õ IterÁ ž ž original_startÁ ž¨ ž ž haystackÁ Õ¤ ¤± Õ§ §¥ ‘¬= ª� ª ª¢ ªÝ: ªž# ‘°� °± ‘³� ‘µ� µ¥ ¤ CowBytesÁ ¸
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¸¤ ¸ò ¤¼¤ ¼± ¤¿¤ ¿¥ ¤£ ¤  BorrowedÁ Ä
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Äò Â OwnedÁ Ç
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Çò ¤Ê¤ ʱ ¤Í¤ Í¥ Á MemchrÁ РЯ Ð÷9 Á Ô Ô± Á
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× ×¥ Á Memchr2Á Ú Ú¯ Úµ Ú÷9 Áß ß± Áâ ⥠Á Memchr3Á å å¯ åµ å‘ å÷9 Áë ë± Áî î¥ � SearcherÁ ñû ñÿ ñô � õ± � SearcherKindÁ ÷ emptyÁ ÷ one_byteÁ ÷ two_wayÁ ÷ two_way_with_prefilterÁ �
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ü± � � TwoWayWithPrefilterÁ ÿ finderÁ ÿ prestratÁ � �
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ƒ± �…¥ � SearcherRevÁ ‡ÿ ‡ô �Š± �Œ¥ � SearcherRevKindÁ Ž EmptyÁ �
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Ž OneByteÁ ‘º3 Ž¢A “¬N �•± �—¥ � PrefilterConfigÁ ™Í š
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™ AutoÁ œ
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�ž± ��¡¥ � PrefilterÁ £û £ÿ £ rarest_byteÁ £
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rarest_offsetÁ �¨± ��
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PrefilterKindÁ «‹ �± �� PrefilterStateÁ °Œ0 ° skippedÁ �³± �� ¶¥ � PreÁ ¸¤ ¸ prestateÁ ¸ºN � ¼¤ ¼¥ � FindIterÁ ¿ ¿…1 ¿�H ¿ÍR ¿¬N ¿éB �Æ Æ…1 Æ¥ �Ê Ê…1 ʱ � FindRevIterÁ Î Î…1 Î�H άN ÎéB � Ô Ô…1 Ô± �
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Ø Ø…1 Ø¥ �¬= Ü…1 ܺ3 Üè+ � à…1 à± � ã…1 㥠�ê> æ…1 æº3 æè+ �
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ê…1 ê± �í…1 í¥ �
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FinderBuilderÁ ðµ5 �ò± �ô¥ �ö> ” SensibleMoveMaskÁ ø
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} óÏ
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ø ù $ ë� 0 7 > L ø ` ù m ë� y € ‡ Á¤µ�”˜ ® ú= Ù,²> ç4×> Ä ý%<ß> È þ&dè> Ó ¦&<ö> Ì ¯'dÿ> Ö
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Ï&\�? Ð é%<ž? Æ ‘&D§? Ê
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|
|||
|
|
This library provides heavily optimized routines for string search primitives.
|
|||
|
|
|
|||
|
|
# Overview
|
|||
|
|
|
|||
|
|
This section gives a brief high level overview of what this crate offers.
|
|||
|
|
|
|||
|
|
* The top-level module provides routines for searching for 1, 2 or 3 bytes
|
|||
|
|
in the forward or reverse direction. When searching for more than one byte,
|
|||
|
|
positions are considered a match if the byte at that position matches any
|
|||
|
|
of the bytes.
|
|||
|
|
* The [`memmem`] sub-module provides forward and reverse substring search
|
|||
|
|
routines.
|
|||
|
|
|
|||
|
|
In all such cases, routines operate on `&[u8]` without regard to encoding. This
|
|||
|
|
is exactly what you want when searching either UTF-8 or arbitrary bytes.
|
|||
|
|
|
|||
|
|
# Example: using `memchr`
|
|||
|
|
|
|||
|
|
This example shows how to use `memchr` to find the first occurrence of `z` in
|
|||
|
|
a haystack:
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
use memchr::memchr;
|
|||
|
|
|
|||
|
|
let haystack = b"foo bar baz quuz";
|
|||
|
|
assert_eq!(Some(10), memchr(b'z', haystack));
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
# Example: matching one of three possible bytes
|
|||
|
|
|
|||
|
|
This examples shows how to use `memrchr3` to find occurrences of `a`, `b` or
|
|||
|
|
`c`, starting at the end of the haystack.
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
use memchr::memchr3_iter;
|
|||
|
|
|
|||
|
|
let haystack = b"xyzaxyzbxyzc";
|
|||
|
|
|
|||
|
|
let mut it = memchr3_iter(b'a', b'b', b'c', haystack).rev();
|
|||
|
|
assert_eq!(Some(11), it.next());
|
|||
|
|
assert_eq!(Some(7), it.next());
|
|||
|
|
assert_eq!(Some(3), it.next());
|
|||
|
|
assert_eq!(None, it.next());
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
# Example: iterating over substring matches
|
|||
|
|
|
|||
|
|
This example shows how to use the [`memmem`] sub-module to find occurrences of
|
|||
|
|
a substring in a haystack.
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
use memchr::memmem;
|
|||
|
|
|
|||
|
|
let haystack = b"foo bar foo baz foo";
|
|||
|
|
|
|||
|
|
let mut it = memmem::find_iter(haystack, "foo");
|
|||
|
|
assert_eq!(Some(0), it.next());
|
|||
|
|
assert_eq!(Some(8), it.next());
|
|||
|
|
assert_eq!(Some(16), it.next());
|
|||
|
|
assert_eq!(None, it.next());
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
# Example: repeating a search for the same needle
|
|||
|
|
|
|||
|
|
It may be possible for the overhead of constructing a substring searcher to be
|
|||
|
|
measurable in some workloads. In cases where the same needle is used to search
|
|||
|
|
many haystacks, it is possible to do construction once and thus to avoid it for
|
|||
|
|
subsequent searches. This can be done with a [`memmem::Finder`]:
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
use memchr::memmem;
|
|||
|
|
|
|||
|
|
let finder = memmem::Finder::new("foo");
|
|||
|
|
|
|||
|
|
assert_eq!(Some(4), finder.find(b"baz foo quux"));
|
|||
|
|
assert_eq!(None, finder.find(b"quux baz bar"));
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
# Why use this crate?
|
|||
|
|
|
|||
|
|
At first glance, the APIs provided by this crate might seem weird. Why provide
|
|||
|
|
a dedicated routine like `memchr` for something that could be implemented
|
|||
|
|
clearly and trivially in one line:
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
fn memchr(needle: u8, haystack: &[u8]) -> Option<usize> {
|
|||
|
|
haystack.iter().position(|&b| b == needle)
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
Or similarly, why does this crate provide substring search routines when Rust's
|
|||
|
|
core library already provides them?
|
|||
|
|
|
|||
|
|
```
|
|||
|
|
fn search(haystack: &str, needle: &str) -> Option<usize> {
|
|||
|
|
haystack.find(needle)
|
|||
|
|
}
|
|||
|
|
```
|
|||
|
|
|
|||
|
|
The primary reason for both of them to exist is performance. When it comes to
|
|||
|
|
performance, at a high level at least, there are two primary ways to look at
|
|||
|
|
it:
|
|||
|
|
|
|||
|
|
* **Throughput**: For this, think about it as, "given some very large haystack
|
|||
|
|
and a byte that never occurs in that haystack, how long does it take to
|
|||
|
|
search through it and determine that it, in fact, does not occur?"
|
|||
|
|
* **Latency**: For this, think about it as, "given a tiny haystack---just a
|
|||
|
|
few bytes---how long does it take to determine if a byte is in it?"
|
|||
|
|
|
|||
|
|
The `memchr` routine in this crate has _slightly_ worse latency than the
|
|||
|
|
solution presented above, however, its throughput can easily be over an
|
|||
|
|
order of magnitude faster. This is a good general purpose trade off to make.
|
|||
|
|
You rarely lose, but often gain big.
|
|||
|
|
|
|||
|
|
**NOTE:** The name `memchr` comes from the corresponding routine in `libc`. A
|
|||
|
|
key advantage of using this library is that its performance is not tied to its
|
|||
|
|
quality of implementation in the `libc` you happen to be using, which can vary
|
|||
|
|
greatly from platform to platform.
|
|||
|
|
|
|||
|
|
But what about substring search? This one is a bit more complicated. The
|
|||
|
|
primary reason for its existence is still indeed performance, but it's also
|
|||
|
|
useful because Rust's core library doesn't actually expose any substring
|
|||
|
|
search routine on arbitrary bytes. The only substring search routine that
|
|||
|
|
exists works exclusively on valid UTF-8.
|
|||
|
|
|
|||
|
|
So if you have valid UTF-8, is there a reason to use this over the standard
|
|||
|
|
library substring search routine? Yes. This routine is faster on almost every
|
|||
|
|
metric, including latency. The natural question then, is why isn't this
|
|||
|
|
implementation in the standard library, even if only for searching on UTF-8?
|
|||
|
|
The reason is that the implementation details for using SIMD in the standard
|
|||
|
|
library haven't quite been worked out yet.
|
|||
|
|
|
|||
|
|
**NOTE:** Currently, only `x86_64`, `wasm32` and `aarch64` targets have vector
|
|||
|
|
accelerated implementations of `memchr` (and friends) and `memmem`.
|
|||
|
|
|
|||
|
|
# Crate features
|
|||
|
|
|
|||
|
|
* **std** - When enabled (the default), this will permit features specific to
|
|||
|
|
the standard library. Currently, the only thing used from the standard library
|
|||
|
|
is runtime SIMD CPU feature detection. This means that this feature must be
|
|||
|
|
enabled to get AVX2 accelerated routines on `x86_64` targets without enabling
|
|||
|
|
the `avx2` feature at compile time, for example. When `std` is not enabled,
|
|||
|
|
this crate will still attempt to use SSE2 accelerated routines on `x86_64`. It
|
|||
|
|
will also use AVX2 accelerated routines when the `avx2` feature is enabled at
|
|||
|
|
compile time. In general, enable this feature if you can.
|
|||
|
|
* **alloc** - When enabled (the default), APIs in this crate requiring some
|
|||
|
|
kind of allocation will become available. For example, the
|
|||
|
|
[`memmem::Finder::into_owned`](crate::memmem::Finder::into_owned) API and the
|
|||
|
|
[`arch::all::shiftor`](crate::arch::all::shiftor) substring search
|
|||
|
|
implementation. Otherwise, this crate is designed from the ground up to be
|
|||
|
|
usable in core-only contexts, so the `alloc` feature doesn't add much
|
|||
|
|
currently. Notably, disabling `std` but enabling `alloc` will **not** result
|
|||
|
|
in the use of AVX2 on `x86_64` targets unless the `avx2` feature is enabled
|
|||
|
|
at compile time. (With `std` enabled, AVX2 can be used even without the `avx2`
|
|||
|
|
feature enabled at compile time by way of runtime CPU feature detection.)
|
|||
|
|
* **logging** - When enabled (disabled by default), the `log` crate is used
|
|||
|
|
to emit log messages about what kinds of `memchr` and `memmem` algorithms
|
|||
|
|
are used. Namely, both `memchr` and `memmem` have a number of different
|
|||
|
|
implementation choices depending on the target and CPU, and the log messages
|
|||
|
|
can help show what specific implementations are being used. Generally, this is
|
|||
|
|
useful for debugging performance issues.
|
|||
|
|
* **libc** - **DEPRECATED**. Previously, this enabled the use of the target's
|
|||
|
|
`memchr` function from whatever `libc` was linked into the program. This
|
|||
|
|
feature is now a no-op because this crate's implementation of `memchr` should
|
|||
|
|
now be sufficiently fast on a number of platforms that `libc` should no longer
|
|||
|
|
be needed. (This feature is somewhat of a holdover from this crate's origins.
|
|||
|
|
Originally, this crate was literally just a safe wrapper function around the
|
|||
|
|
`memchr` function from `libc`.)
|
|||
|
|
Á Á¤µ�”˜µ ®¶ Ùµ ç´ Ä ý%³ È þ&² Ó ¦&± Ì ¯'° Ö
|
|||
|
|
Ï&¯ Ð é%® Æ ‘& Ê
|
|||
|
|
š'¬ Õ º&« Î Ë'ª Ø ê&© Ò âJ¨ Ð ²K§ Ú ‹L¦ å Õ Ø Û „í= Ò ”¥> Ç üÂ>Ä ¾ Á ³ ¶ ¨ « � ’ • ‡ Š | q t f i [ ^ P S E H : = / 2 $ ' T–@ 4š@ „” ¡ ¥ � « ¶ , ¬ ´ , ® 8¦ ¯ & ± 8¦ ²
|
|||
|
|
µ *¸ » � + Å Æ ß 8Š Ç Ê Þ 8Ž <Ë Ó 7 loggingÁ LÕ é ‡ , ÷ ø ü , ù 8¦ ú
|
|||
|
|
ý ”’,Ÿ ¥ Ú « ¶ , ¬ ´ , ® 8¦ ¯ & ± 8¦ ²
|
|||
|
|
µ *¸ » Ø 8¸ ½ À Á Ö 8¸ Â 'Å 8Æ ,Ç Ì Í Õ , Î Ï Ó , Ð 8¦ Ñ
|
|||
|
|
Ô”Ý,ê ð ¥ ö � , ÷ ø ÿ , ù 8¦ ú & ü 8¦ ý
|
|||
|
|
€ *ƒ † £ 8¸ ˆ ‹ Œ ¡ 8¸ � '� 8É ,’ — ˜ , ™ š ž , › 8¦ œ
|
|||
|
|
ŸdÉ@ ü � ˜
|
|||
|
|
A module with low-level architecture dependent routines.
|
|||
|
|
|
|||
|
|
These routines are useful as primitives for tasks not covered by the higher
|
|||
|
|
level crate API.
|
|||
|
|
Á $Ñ@ Ô\Ÿ ü » ¶
|
|||
|
|
Contains architecture independent routines.
|
|||
|
|
|
|||
|
|
These routines are often used as a "fallback" implementation when the more
|
|||
|
|
specialized architecture dependent routines are unavailable.
|
|||
|
|
Á § {—ª²ÐÑÒÓt½ ü ×
|
|||
|
|
Ò
|
|||
|
|
|
|||
|
|
Provides architecture independent implementations of `memchr` and friends.
|
|||
|
|
|
|||
|
|
The main types in this module are [`One`], [`Two`] and [`Three`]. They are for
|
|||
|
|
searching for one, two or three distinct bytes, respectively, in a haystack.
|
|||
|
|
Each type also has corresponding double ended iterators. These searchers
|
|||
|
|
are typically slower than hand-coded vector routines accomplishing the same
|
|||
|
|
task, but are also typically faster than naive scalar code. These routines
|
|||
|
|
effectively work by treating a `usize` as a vector of 8-bit lanes, and thus
|
|||
|
|
achieves some level of data parallelism even without explicit vector support.
|
|||
|
|
|
|||
|
|
The `One` searcher also provides a [`One::count`] routine for efficiently
|
|||
|
|
counting the number of times a single byte occurs in a haystack. This is
|
|||
|
|
useful, for example, for counting the number of lines in a haystack. This
|
|||
|
|
routine exists because it is usually faster, especially with a high match
|
|||
|
|
count, than using [`One::find`] repeatedly. ([`OneIter`] specializes its
|
|||
|
|
`Iterator::count` implementation to use this routine.)
|
|||
|
|
|
|||
|
|
Only one, two and three bytes are supported because three bytes is about
|
|||
|
|
the point where one sees diminishing returns. Beyond this point and it's
|
|||
|
|
probably (but not necessarily) better to just use a simple `[bool; 256]` array
|
|||
|
|
or similar. However, it depends mightily on the specific work-load and the
|
|||
|
|
expected match frequency.
|
|||
|
|
Á 4Å wzµ½ÊÔáíØ <þ
|
|||
|
|
Õ Þ<Œ ¶ üÝ
|
|||
|
|
7Œ
|
|||
|
|
,d‡ ÄÊ \Ð ÄÍ \Ó D� ím"#$&()+-.12 ¼ÞTä ! ! ìä üŽC @ Create a new searcher that finds occurrences of the byte given.Á ë ím ! !
|
|||
|
|
# º3„QüÝ4 ü²J G Return the first occurrence of the needle in the given haystack. If noÁ ü�4 1 such occurrence exists, then `None` is returned.Á º© üÂH E The occurrence is reported as an offset into `haystack`. Its maximumÁ ü�; 8 value for a non-empty haystack is `haystack.len() - 1`.Á$ä € � €ím ��§ ¨¦ ! é !
|
|||
|
|
$ öS�HS4ç $ <closure_kind>Á % <closure_signature>Á % <upvars>Á % % $ ߥüâ5 ü¸I F Return the last occurrence of the needle in the given haystack. If noÁ ü†4ïÙ ¿© üÇH·Ú ü”;ˆÛ,é ‚ ƒ ‚ím ƒ�§ ¨¦ ! ï !
|
|||
|
|
& ²U�HÃT4í & ½Ü ' ÕÜ ' òÜ ' ' & â©ü� - ü¿ > ; Counts all occurrences of this byte in the given haystack.Á,— „ … „ím …�§ ! � !
|
|||
|
|
( $ž �HdYü°)s üè 6 3 Like `find`, but accepts and returns raw pointers.Á £!© ü«!C @ When a match is found, the pointer returned is guaranteed to beÁ Üó! `>= start` and `< end`.Á “"© ü›"I F This routine is useful if you're already using raw pointers and wouldÁ üé"G D like to avoid converting back to a slice before executing a search.Á µ#© d½# # SafetyÁ Î#© üÖ#5 2 * Both `start` and `end` must be valid for reads.Á ü�$@ = * Both `start` and `end` must point to an initialized value.Á üÕ$H E * Both `start` and `end` must point to the same allocated object andÁ ü¢%D A must either be in bounds or at most one byte past the end of theÁ ¬ë% allocated object.Á ü…&I F * Both `start` and `end` must be _derived from_ a pointer to the sameÁ \Ó& object.Á üã&G D * The distance between `start` and `end` must not overflow `isize`.Á ü¯'I F * The distance being in bounds must not rely on "wrapping around" theÁ ”ý' address space.Á ”(© üœ(K H Note that callers may pass a pair of pointers such that `start >= end`.Á üì(1 . In that case, `None` will always be returned.ÁD¾) † †ím î¤î¤õ¤ ! Ð) ! ç§Gt¨amkm ù* ) ½Ü * ÕÜ * òÜ * * ) òÐü¸?t üï67 4 Like `rfind`, but accepts and returns raw pointers.Á «7© ü³7CÆá Üû7‘â ›8© ü£8IÀâ üñ8G’ã ½9© dÅ9ìã Ö9© üÞ95Œä ü˜:@Êä üÝ:H“å üª;Däå ¬ó;°æ ü�<IÎæ \Û<Ÿç üë<G³ç ü·=Iƒè ”…>Ôè œ>© ü¤>Kúè üô>1ÎéLÆ? ‡ ‡ím î¤î¤õ¤ ! Ù? ! £«²�¨T‡^‡ ‚A + ½Ü , ÕÜ , òÜ , , + ¸…ü�QI üœII F Counts all occurrences of this byte in the given haystack representedÁ ¤êI by raw pointers.Á ƒJ© ü‹JIÀâ üÙJG’ã ¥K© dKìã ¾K© üÆK5Œä ü€L@Êä üÅLH“å ü’MDäå ¬ÛM°æ üõMIÎæ \ÃNŸç üÓNG³ç üŸOIƒè ”íOÔè „P© üŒPKúè üÜP. + In that case, `0` will always be returned.ÁL«Q ˆ ˆím î¤î¤ ! µQ !
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- $¶Q¨V�`�üþVD ü†UF C Returns an iterator over all occurrences of the needle byte in theÁ œÑU given haystack.Á éU© üñUI F The iterator returned implements `DoubleEndedIterator`. This means itÁ ü¿V: 7 can also be used to find occurrences in reverse order.Á$…W / 0 /ím 0�§ ½ ½ Ð9 Àè+ Á÷9 é©0a‹RJ / 0 ! ŠW !
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. $–W�HDœW ŽWü«X*T®X ‰ ‰ím ! ¹X !
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1 $ºXÛáA’ü Y,<£Y
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Provides an architecture independent implementation of the "packed pair"
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algorithm.
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The "packed pair" algorithm is based on the [generic SIMD] algorithm. The main
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difference is that it (by default) uses a background distribution of byte
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frequencies to heuristically select the pair of bytes to search for. Note that
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this module provides an architecture independent version that doesn't do as
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good of a job keeping the search for candidates inside a SIMD hot path. It
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however can be good enough in many circumstances.
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[generic SIMD]: http://0x80.pl/articles/simd-strfind.html#first-and-last
|
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Á TÕ }���ƒúç4ã Á { |ç Ä { | lÜ(„ì dð{~ü $ ©üÒ= \� Ýr�‚ƒ… ü”
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+ üŸ J G Create a new prefilter that reports possible locations where the givenÁ œî needle matches.Á ›
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¤ ¤�§ §‰ € §
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€
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� º3xDü”= üƒ0 - Create a new prefilter using the pair given.Á ¸© üÀG D If the prefilter could not be constructed, then `None` is returned.Á Œ© ü”G D This constructor permits callers to control precisely which pair ofÁ üà! bytes is used as a predicate.ÁL› ¥ ¥�§ ºs§‰ € €
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‚ º3`G iGüÇ> üù9 6 Run this finder on the given haystack as a prefilter.Á ·© ü¿J G If a candidate match is found, then an offset where the needle *could*Á üŽ& # begin in the haystack is returned.ÁtÎ ¦ § ¦Ýr §�§ ¨¦ € Ý €
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ƒ GU�H˜Q$“ ƒ ½Ü „ ÕÜ „ òÜ „ „ ƒ ¯£Ü… üÐ D A Returns the pair of offsets (into the needle) used to check as aÁ ü™ G D predicate before confirming whether a needle exists at a particularÁ lå
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position.Á$Œ ¨ ¨Ýr ¨ºs € ‘ €
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… $’ L‡+ ºs‡ˆŠ‹Œ üì-) ü—+7 4 Create a new pair of offsets from the given needle.Á Ó+© üÛ+E B If a pair could not be created (for example, if the needle is tooÁ ü¥,$ ! short), then `None` is returned.Á Î,© üÖ,A > This chooses the pair in the needle that is believed to be asÁ üœ-= : predictive of an overall match of the needle as possible.Á ó- © ©�§ ÖŠ † ÿ- †
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‡ º3òWüà2n üÛ.B ? Create a new pair of offsets from the given needle and ranker.Á ¢/© üª/I F This permits the caller to choose a background frequency distributionÁ üø/H E with which bytes are selected. The idea is to select a pair of bytesÁ üÅ0F C that is believed to strongly predict a match in the haystack. ThisÁ ü�1B ? usually means selecting bytes that occur rarely in a haystack.Á ×1© üß1E«º ü©2$ùº\ç2 ª ª�§ À´ÖŠ † Ë ‰ ‰ Ÿ3 † ’ÞÀ´ ó2 �À´ ´ö2
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ˆÀ´º3ŒqËë–q.0 üÑDi ü»>C @ Create a new pair using the offsets given for the needle given.Á ƒ?© ü‹?H E This bypasses any sort of heuristic process for choosing the offsetsÁ üØ?< 9 and permits the caller to choose the offsets themselves.Á ™@© ü¡@G D Indices are limited to valid `u8` values so that a `Pair` uses lessÁ üí@J G memory. It is not possible to create a `Pair` with offsets bigger thanÁ ü¼AI F `u8::MAX`. It's likely that such a thing is not needed, but if it is,Á üŠBE B it's suggested to build your own bespoke algorithm because you'reÁ üÔBJ G likely working on a very niche case. (File an issue if this suggestionÁ ü£C does not make sense to you.)Á ÈC© üÐCE«º üšD$ùºdØD « «�§ ÖŠ † öD †
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Š º3Wyè`yöiyÔ÷J ü»J) & Returns the first offset of the pair.Á4þJ ¬ ¬ºs † …K †
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‹ $†KÔðK ü³K* ' Returns the second offset of the pair.Á4÷K ºs † þK †
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Œ $ÿKüÚd üªLO L This trait allows the user to customize the heuristic used to determine theÁ üúLE B relative frequency of a given byte in the dataset being searched.Á ÀM© üÄMM J The use of this trait can have a dramatic impact on performance dependingÁ ü’NO L on the type of data being searched. The details of why are explained in theÁ üâNO L docs of [`crate::memmem::Prefilter`]. To summarize, the core algorithm usesÁ ü²OM J a prefilter to quickly identify candidate matches that are later verifiedÁ ü€PI F more slowly. This prefilter is implemented in terms of trying to findÁ üÊPK H `rare` bytes at specific offsets that will occur less frequently in theÁ ü–QM J dataset. While the concept of a `rare` byte is similar for most datasets,Á üäQH E there are some specific datasets (like binary executables) that haveÁ üRM J dramatically different byte distributions. For these datasets customizingÁ üûRN K the byte frequency heuristic can have a massive impact on performance, andÁ üÊS* ' might even need to be done at runtime.Á õS© üùSI F The default implementation of `HeuristicFrequencyRank` reads from theÁ üÃTL I static frequency table defined in `src/memmem/byte_frequencies.rs`. ThisÁ ü�UM J is optimal for most inputs, so if you are unsure of the impact of using aÁ üÞUM J custom `HeuristicFrequencyRank` you should probably just use the default.Á ¬V© l°V
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# ExampleÁ ¾V© <ÂV ```Á ŒÊV use memchr::{Á üÜV6 3 arch::all::packedpair::HeuristicFrequencyRank,Á ô“W memmem::FinderBuilder,Á 4²W };Á ¹W© ü½WL I /// A byte-frequency table that is good for scanning binary executables.Á ”ŠX struct Binary;Á �X© ü¡X, ) impl HeuristicFrequencyRank for Binary {Á üÎX( % fn rank(&self, byte: u8) -> u8 {Á ü÷X& # const TABLE: [u8; 256] = [Á üžYM J 255, 128, 61, 43, 50, 41, 27, 28, 57, 15, 21, 13, 24, 17, 17,Á üìYJ G 89, 58, 16, 11, 7, 14, 23, 7, 6, 24, 9, 6, 5, 9, 4, 7, 16,Á ü·ZL I 68, 11, 9, 6, 88, 7, 4, 4, 23, 9, 4, 8, 8, 5, 10, 4, 30, 11,Á ü„[> ; 9, 24, 11, 5, 5, 5, 19, 11, 6, 17, 9, 9, 6, 8,Á üÃ[N K 48, 58, 11, 14, 53, 40, 9, 9, 254, 35, 3, 6, 52, 23, 6, 6, 27,Á ü’\F C 4, 7, 11, 14, 13, 10, 11, 11, 5, 2, 10, 16, 12, 6, 19,Á üÙ\N K 19, 20, 5, 14, 16, 31, 19, 7, 14, 20, 4, 4, 19, 8, 18, 20, 24,Á ü¨]C @ 1, 25, 19, 58, 29, 10, 5, 15, 20, 2, 2, 9, 4, 3, 5,Á üì]M J 51, 11, 4, 53, 23, 39, 6, 4, 13, 81, 4, 186, 5, 67, 3, 2, 15,Á üº^< 9 0, 0, 1, 3, 2, 0, 0, 5, 0, 0, 0, 2, 0, 0, 0,Á ü÷^L I 12, 2, 1, 1, 3, 1, 1, 1, 6, 1, 2, 1, 3, 1, 1, 2, 9, 1, 1, 0,Á üÄ_4 1 2, 2, 4, 4, 11, 6, 7, 3, 6, 9, 4, 5,Á üù_L I 46, 18, 8, 18, 17, 3, 8, 20, 16, 10, 3, 7, 175, 4, 6, 7, 13,Á üÆ`= : 3, 7, 3, 3, 1, 3, 3, 10, 3, 1, 5, 2, 0, 1, 2,Á ü„aN K 16, 3, 5, 1, 6, 1, 1, 2, 58, 20, 3, 14, 12, 2, 1, 3, 16, 3, 5,Á üÓa: 7 8, 3, 1, 8, 6, 17, 6, 5, 3, 8, 6, 13, 175,Á tŽb ];Á ü�b TABLE[byte as usize]Á L¾b }Á ,Èb }Á üÎb5 2 // Create a new finder with the custom heuristic.Á ü„c% " let finder = FinderBuilder::new()Á üªc@ = .build_forward_with_ranker(Binary, b"\x00\x00\xdd\xdd");Á üëc) & // Find needle with custom heuristic.Á ü•d< 9 assert!(finder.find(b"\x00\x00\x00\xdd\xdd").is_some());Á <ÒdõÕ ´äd � � “Þ üÚdû � ŽŽ Ž ü´h ü�eG D Return the heuristic frequency rank of the given byte. A lower rankÁ üÍeH E means the byte is believed to occur less frequently in the haystack.Á šf© ü¢fK H Some uses of this heuristic may treat arbitrary absolute rank values asÁ üòfH E significant. For example, an implementation detail in this crate mayÁ ü¿gJ G determine that heuristic prefilters are inappropriate if every byte inÁ üŽh! the needle has a "high" rank.Á$·h ® ®Ìç � ¼h �
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ŽÌç$½hµö$Ãhü¡i& ¤³i Œt °¿ôë² � -( � � ŒtüÊi4 Œt’ ’ ô…j$ˆj ¯ ¯Œt ‘ �j ‘
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’ $Žjµö$”jüÐkQ üãjL I This permits passing any implementation of `HeuristicFrequencyRank` as aÁ ü°k borrowed version of itself.Á ¤ ” Ë • ” • ’Þ¾t Ùk �¾t ´Šl¸t– – Õk"$ ô¨l$«l ° °¸t “ °l “
|
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– ¤¾t$±lµö{Œá ü Ê Å
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An implementation of the [Rabin-Karp substring search algorithm][rabinkarp].
|
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Rabin-Karp works by creating a hash of the needle provided and then computing
|
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a rolling hash for each needle sized window in the haystack. When the rolling
|
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hash matches the hash of the needle, a byte-wise comparison is done to check
|
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if a match exists. The worst case time complexity of Rabin-Karp is `O(m *
|
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n)` where `m ~ len(needle)` and `n ~ len(haystack)`. Its worst case space
|
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complexity is constant.
|
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The main utility of Rabin-Karp is that the searcher can be constructed very
|
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quickly with very little memory. This makes it especially useful when searching
|
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for small needles in small haystacks, as it might finish its search before a
|
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beefier algorithm (like Two-Way) even starts.
|
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[rabinkarp]: https://en.wikipedia.org/wiki/Rabin%E2%80%93Karp_algorithm
|
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Á Lé ¡©‹’“™šÞ<¿ ¶ — ˜œ³\Ä Ìtš›œ üò # üÖ D A Create a new Rabin-Karp forward searcher for the given `needle`.Á Ÿ © ü§ K H The needle may be empty. The empty needle matches at every byte offset.Á ÷ © üÿ I F Note that callers must pass the same needle to all search calls usingÁ ”Í this `Finder`.Á ù ± ±�§ Ìt ™ …! ™ ÙÕ º3‹ü˜(C ü $A > Return the first occurrence of the `needle` in the `haystack`Á üæ$A > given. If no such occurrence exists, then `None` is returned.Á ¬%© ü´%G D The `needle` provided must match the needle given to this finder atÁ ´€& construction time.Á ›&© ü£&I F The maximum value this can return is `haystack.len()`, which can onlyÁ üñ&H E occur when the needle and haystack both have length zero. Otherwise,Á ü¾'G D for non-empty haystacks, the maximum value is `haystack.len() - 1`.Á$Ÿ( ² ³ ´ ²Ìt ³�§ ´�§ ¨¦ ™ ¤( ™ ƒÚ
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$¥(�H‘º3!‘ü†6© ü«+6üà æ+© üî+CÆá ü¶,I F `>= start` and `<= end`. The pointer returned is only ever equivalentÁ ü„-G D to `end` when both the needle and haystack are empty. (That is, theÁ üÐ-+ ( empty string matches the empty string.)Á €.© üˆ.IÀâ üÖ.G’ã ¢/© dª/ìã »/© üÃ/K H Note that `start` and `end` below refer to both pairs of pointers givenÁ ü“0J G to this routine. That is, the conditions apply to both `hstart`/`hend`Á Äâ0 and `nstart`/`nend`.Á ÿ0© ü‡15Œä üÁ1@Êä ü†2H“å üÓ2Däå ¬œ3°æ ü¶3IÎæ \„4Ÿç ü”4G³ç üà4Iƒè ”®5Ôè üÅ5. + * It must be the case that `start <= end`.ÁD”6 µ µÌt î¤î¤î¤î¤õ¤ ™ ¦6 ™ Èž$§6Ÿ¤œ°¤!œÀ¤+œÒ¤5œtð< –užŸ üÜ=& ü…=D A Create a new Rabin-Karp reverse searcher for the given `needle`.Á ã= ¶ ¶�§ –u � ï= � ¹‹
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º32¬ü™ED ü¢A@ = Return the last occurrence of the `needle` in the `haystack`Á üçAA–ú B© üµBGëú ´�Cºû œC© ü¤CIäû üòCH¶ü ü¿DG‡ý, E · ¸ ¹ ·–u ¸�§ ¹�§ ¨¦ � ¦E � Ú“
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$§E�H’±º3œ±üŠSª ü®H7°ë êH© üòHCÆá üºIIþþ üˆJGÐÿ üÔJ+ € „K© üŒKIÀâ üÚKG’ã ¦L© d®Lìã ¿L© üÇLK›� ü—MJï� ÄæMÁ‚ ƒN© ü‹N5Œä üÅN@Êä üŠOH“å ü×ODäå ¬ P°æ üºPIÎæ \ˆQŸç ü˜QG³ç üäQIƒè ”²RÔè üÉR.ìƒL˜S º º–u î¤î¤î¤î¤õ¤ � «S � Ãß$¬SŸ¤ý»°¤¼À¤¼Ò¤¼üÚY><èY » ¼ »�§ ¼�§ úY
|
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¡ �Hþ¾¦þ¿Lö[ Øu£¤¥¦§¨ „Ø\ Û\ — Øu ¢ ¢
|
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£ üÓ^?<Ý^ — î¤î¤Øu ¢ ¢
|
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¤ ¨,é^âÄüŠb?<”b — î¤î¤Øu ¢ ¢
|
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¥ ¨È ²bü…f5$ˆf — ½ ¾ ½Øu ¾Ìt ¢ �f ¢
|
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¦ $’f¬NÛÊØ–äÊÔ
|
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íÊܵg ¸g — ¿ ¿Øu ¢ ¼g ¢
|
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§ $Ágµö²ÌüÉi, Ìi — À Á ÀØu ÁÌt ¢ Ði ¢
|
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¨ $Õi¬N
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εöÎü£nDdn — î¤î¤ ´ª�Û ºnøÐ Èn®º Ön|Ž ü ‰ „
|
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An implementation of the [Shift-Or substring search algorithm][shiftor].
|
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[shiftor]: https://en.wikipedia.org/wiki/Bitap_algorithm
|
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Á <– ¬¨‚ž � ª «Œ�L—$œª \Ä Ðv®¯± ÜÖtܪ üÁ+ ü”B ? Create a new Shift-Or forward searcher for the given `needle`.Á Û© üãK±÷ È Â Â�§ ý¤ Ô
|
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¯ º3)Ý;à ¯ ¯ üÚ4 üý G D Return the first occurrence of the needle given to `Finder::new` inÁ üÉ
|
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|
F C the `haystack` given. If no such occurrence exists, then `None` isÁ l”
|
|||
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returned.Á ¦© ü®J G Unlike most other substring search implementations in this crate, thisÁ üýJ G finder does not require passing the needle at search time. A match canÁ üÌJ G be determined without the needle at all since the required informationÁ ü›= : is already encoded into this finder at construction time.Á Ý© üåIäû ü³H¶ü ü€G‡ý$á Ã Ä ÃÐv Ä�§ ¨¦ æ
|
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± $ç�H†étŸ ü ž ™
|
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An implementation of the [Two-Way substring search algorithm][two-way].
|
|||
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|
|||
|
|
[`Finder`] can be built for forward searches, while [`FinderRev`] can be built
|
|||
|
|
for reverse searches.
|
|||
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|
|||
|
|
Two-Way makes for a nice general purpose substring search algorithm because of
|
|||
|
|
its time and space complexity properties. It also performs well in practice.
|
|||
|
|
Namely, with `m = len(needle)` and `n = len(haystack)`, Two-Way takes `O(m)`
|
|||
|
|
time to create a finder, `O(1)` space and `O(n)` search time. In other words,
|
|||
|
|
the preprocessing step is quick, doesn't require any heap memory and the worst
|
|||
|
|
case search time is guaranteed to be linear in the haystack regardless of the
|
|||
|
|
size of the needle.
|
|||
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|
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|
|
While vector algorithms will usually beat Two-Way handedly, vector algorithms
|
|||
|
|
also usually have pathological or edge cases that are better handled by Two-Way.
|
|||
|
|
Moreover, not all targets support vector algorithms or implementations for them
|
|||
|
|
simply may not exist yet.
|
|||
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|
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|
|
Two-Way can be found in the `memmem` implementations in at least [GNU libc] and
|
|||
|
|
[musl].
|
|||
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|
|||
|
|
[two-way]: https://en.wikipedia.org/wiki/Two-way_string-matching_algorithm
|
|||
|
|
[GNU libc]: https://www.gnu.org/software/libc/
|
|||
|
|
[musl]: https://www.musl-libc.org/
|
|||
|
|
Á 4§ ய¶·¾ÇÑÖìí¹ ª ¼ ² ³¢ LÍ Ð ² ¶² LØ Ñ ² ·ºR ð ¸ ² ¸ ‘L¤ Yü´ BMO<>\è /\‘& �wº»¼½¾ üö'# ü£&C @ Create a searcher that finds occurrences of the given `needle`.Á ë&© üó&I F An empty `needle` results in a match at every position in a haystack,Á üÁ'" including at `haystack.len()`.Á ý' Å Å�§ �w ¹ ‰( ¹ œÚ º32óüÖ/C üà,H E Returns the first occurrence of `needle` in the given `haystack`, orÁ ü-0 - `None` if no such occurrence could be found.Á â-© üê-C @ The `needle` given must be the same as the `needle` provided toÁ ¤². [`Finder::new`].Á Ë.© üÓ.IÛ¦ ü¡/"§$Ý/ Æ Ç È Æ�w Ç�§ È�§ ¨¦ ¹ â/ ¹
|
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|
|
» $ã/�HIõº3Sõü„5–œ’5 É Ê Ë Ì É�w Œ·Ž·�·Í �· ‘·Š’·ò Æ/2uB<Ì ¸ ¸ ºR ºÍR � »ºN � �LF€mm Ê Ë�§ Ì�§ ¨¦ ¹ ¯5 ¹ áé$°5™î×ö�Háöº3ëöü¶;¡t¹; ² Í Î Ï Ð Í�w Œ·Ž·�·Í �· ‘·Š’·ò Æ/2uB<Ì ¸ ¸ ºR ºÍR � »ºN � �LF€mm Î Ï�§ Ð�§ ¨¦ ¹ Ñ; ¹ Úí$Ò;™î ä;�Hº3 ™B&üëH tîH ² Ñ Ò Ó Ô Ñ�w Œ·Ž·�·Í �· ‘·Š’·ò Æ/2uB<Ì ¸ ¸ ºR ºÍR � »ºN � �LF€mm Ò Ó�§ Ô�§ ¨¦ ¹ †I ¹ õì$‡I™î ™I�HV)º3`)ÓAi)túS ÜwÀÁÂà üâU& ü�TC„¦ ×T© üßTIÛ¦ üU"§ éU Õ Õ�§ Üw ¿ õU ¿ èŠ
|
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º3 )üÊ]D üÒZG D Returns the last occurrence of `needle` in the given `haystack`, orÁ üž[0ù¨ Ó[© üÛ[C½© ¼£\ [`FinderRev::new`].Á ¿\© üÇ\IÛ¦ ü•]"§,Ñ] Ö × Ø ÖÜw ×�§ Ø�§ ¨¦ ¿ ×] ¿
|
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Á $Ø]�H (º3
|
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Ï $¡Íµö Z ü‚8 ü°C @ Returns true if and only if `needle` is a prefix of `haystack`.Á ô© üøN K This uses a latency optimized variant of `memcmp` internally which *might*Á üÇ, ) make this faster for very short strings.Á ô© tø # InliningÁ ‡© ü‹N K This routine is marked `inline(always)`. If you want to call this functionÁ üÚL I in a way that is not always inlined, you'll need to wrap a call to it inÁ ü§H E another function that is marked as `inline(never)` or just `inline`.ÁL‰ å æ å�§ æ�§ �
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Ñ �H äüº3 âüüû+ ü• < 9 Compare corresponding bytes in `x` and `y` for equality.Á Ò © üÖ F C That is, this returns true if and only if `x.len() == y.len()` andÁ ü�
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# MotivationÁ Ý© üáO L Why not use slice equality instead? Well, slice equality usually results inÁ ü±M J a call out to the current platform's `libc` which might not be inlineableÁ üÿM J or have other overhead. This routine isn't guaranteed to be a win, but itÁ ÜÍ might be in some cases.ÁD‚ é ê é�§ ê�§ Ž
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Ò �Û ZýøÐ YýüÉ c üÞ9 6 Compare `n` bytes at the given pointers for equality.Á ˜© üœE B This returns true if and only if `*x.add(i) == *y.add(i)` for allÁ Œâ `0 <= i < n`.Á ô© tø–À ‡© ü‹N¸À üÚL�Á ü§HäÁ ð© „ôàÇ …© ü‰O„È üÙMÜÈ ü§M²É Üõ‡Ê ‘© d•ìã ¢© ü¦B ? * Both `x` and `y` must be valid for reads of up to `n` bytes.Á üé: 7 * Both `x` and `y` must point to an initialized value.Á ü¤A > * Both `x` and `y` must each point to an allocated object andÁ üæDäå ü« L I allocated object. `x` and `y` do not need to point to the same allocatedÁ Ìø object, but they may.Á ü’ K H * Both `x` and `y` must be _derived from_ a pointer to their respectiveÁ ´Þ allocated objects.Á üõ M J * The distance between `x` and `x+n` must not overflow `isize`. SimilarlyÁ ´Ã for `y` and `y+n`.Á üÚ Iƒè ”¤ Ôèd× î¤î¤ à �Û í øÐ ƒ ®º ™ ´¬ <» Õ‘¬û 4Š ‰‹��ô€ŽžÞ<»& ¶ Õ ×ÿ6DÑ& ¡ Õ ÙÍ54Û& • Õ Úü©&<d¶&E 46#%´õ' � Ü Ü ’ÞÝ| ú' •Ý| 4ý'¤|ÝÞßàáâä $& ´à(Læ(Õ Û Û üê). ÿ) ¤| Û Û
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L This returns the index corresponding to the first occurrence of `needle` inÁ üÒM
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J `haystack`, or `None` if one is not found. If an index is returned, it isÁ ü 0
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6 While this is semantically the same as something likeÁ ü�N
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K `haystack.iter().position(|&b| b == needle)`, this routine will attempt toÁ üÞL
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I use highly optimized vector operations that can be an order of magnitudeÁ ¬«
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F This shows how to find the first position of a byte in a byte string.Á ¡
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K This returns the index corresponding to the last occurrence of `needle` inÁ üü M
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L `haystack.iter().rposition(|&b| b == needle)`, this routine will attempt toÁ ü‰ L
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K This returns the index corresponding to the first occurrence of one of theÁ ü¼M
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J needle bytes in `haystack`, or `None` if one is not found. If an index isÁ üŠ@
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K routine will attempt to use highly optimized vector operations that can beÁ ü± +
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