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Vyxal 3, 112 bytes eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+ Vyxal It Online! newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisha...
#3: Post edited
by
trichoplax
·
2026-03-15T14:23:29Z (6 months ago)
Typo
- # [Vyxal 3](https://github.com/Vyxal/Vyxal/tree/version-3/), 112 bytes
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- ```
- [Vyxal It Online!](https://vyxal.github.io/latest.html#H4sIAAAAAAAACm1bS5L0NnK-CqM3s7BqwhrtdAFvJnwB_VqAJIqFLpCg8OhS9VgRXjjCDofX3tjX8AW88EF0En-ZiQRQPbPoYmaSBPHIx5cJ9F_eriHuJr_9-MN3bzdrVhvffnx7--5tCasFZf_3f37_j3_78z_h5_bnf_zt93_9l__7L6J_K9O3t6tLt29vlz99__u__-fv__zf396mdTH5ekBs4t1av4dj_fb2dxPau4aQte2rN1t6-_Gnn797c8dZMtE_vf1DDOWcvn_77qc3c41uMce0eZPSRG3Slw4V-3JsVXIL3tIfSBfnaE2-uWMbXnExmWXg0eLdTLM3y10ls1lCpBa8fbgrE9dwJHcEIjdjJzRrIzHebSaHOG1mZGtD-2zjO9ol0kpPk3RtL3E63Z3IY7mFjycRFrNj66vHZn0jPX-Lr0PHmVc6m7hkh3GFdWTd0hrM9jgM3fc2g4_mNG43RC231k5t5MajiTtmYZ22EkGvXZCsiWF2R5WQkgzk0EOICr0wSMLDHPxRUBkacJugFeCTw-QsJp5CUy94ret7GUu0YyZt5Kezx3jwyBwOl8MgkOErh3FFLP4gOcN-jTx-lSRDSvkiKPE58piM8wjJMnUf7zj_YWNyqx2FJ0ym9rqkHEm_aGztOyIk0RbN00v_urD3ucsG9e7CEzNYhc_y7ZiNuxs_BVfVZsaHtceg0bvpETGhlth9DqHfPFas0d1BefXVY23UVhJf30O99NWcTZzllxZFrhdvRwMVIZpfo9nC8UV4C-VYWzdiuxvNUlbTSXcos-MFJzQ1ag4XKuftk4eW7mTurdGU5JeVfjZ5wpwzUT9mzXLTpQFzJ_X-yrbZgN430pcN85tL3Kw8fGyYfu2RzZm67Jabi3wNnpxEQAdqA26TDvN1Sr8UA700zrOo2hFZAzhYEexkLter8YElaTHedqqr9YxV1A9kuChRL3Zu0-BTRFBnh-mX9WFJNzfhD4xzyhbqpxJ8e577lKjMP6_kGypvzct30gO6GB7k0ETw0mKObtvUGbEIE6htodUpl8M0tj2U3TlFa69t2T2Wji_HQauNWYAbC3Oj23Nh1mbUmGZf7KC_xOmiEk2LlaP9IIuqog1Ozuyucq3pYr8OB5LHzeW6JMVeoMMwZ3e-fGIcZrH93Q1Ly9SR2RvdD4SmdrsKd3cc4QFJMPVWaHYVZtKvKR30Qfa6c1jMsvCHw0YfDPtsntNaKGTNLRipl8X1sJl1U0fJEtZPZp5Vg4kKcB2kozSxtITh19oaJgsr05pAiN7pIsOLLmVvtUXheGR9SWIwK7moaQ1bEx2feCTE5xrg5FgS7pM3-xntU9kE_3z3duaILKIMiJGZyYUXFE71aFKxOLXY4n3rNNHtKe8lBCrVn6KBztaq7pU4B34jOv7dTVv4QgGRPJc-StarH2baP6vvUlbuwt4cENvhzASZ00AxiG8gZ-op8IeJaCWo8UCwuliE8FaFp_W0YvA_5Hm9mqjy-hh5J_q1uY6XmFTIaxCdpybOxpcrt5D15eyZ_7CjWyK-UpYmLmHETjRIhAcFv2kvq-o5kArM5XTqqsBDI311Ocr17zKwIbyDeVA_T2yZ9QFgIsujheNhpWlPlVl-2xBvZe-34eq9W4lICxZ08W6fX4BnkzR_0SSnBQZjvi2fJz30wSyNeXEmLKpkmGcGiCAcdZwgkMI8urK_WYKFpwRE4TeuMEl9-xb6IABOn3zxRnDbuLoqbWbHQc2sgaOXrhFcSKfY4fTxkoQxn3pmSPDhGukqA98nt6AXUfwU6A-35OE14fukY6WcvSxsGk3vQvDOtkmEMVhdivDoD7WOP9jPsI0tQMens0RYe5_q2kebtAFEAEDr6W79qZJgRCtgXmF1cHANe3eRfjSWpePdBfoEOKbobCnpLr8XGXzJHQjTCG-RYITeq2x1RquZ6Wex9EvqIvNNqcYkM0o39qQWV93PamKWW7GOcLVq6CulUBMFPPucznKq1J4XCu7cj8al3fos_INSpOnVaXQ5Mr4sXrPLEoVGnv8VrQyN7cGhx4R4VksgGzPZYPJqE0Y5duzDRB4TlsjLcq63Um_COAnPNhWuhC4M2GwR4tTlrQF4tyrQCv1_Yh4i-tCmO_gTfmLSxqKZp0fw10vvHlsIX6kjIeenxB8BXNXdC0MGO-KwNbprHshHCEMutcaCuEmxeubQqVRdEejPExkGMmheWGZ1lA9ggm6WwtZRWoOsUmYNaDffHiHu0qL-SI4F4iJ9B3XyZFhaNDd4W3ictAfE-4Nb9naBD1vG-1UiTSs3AJsmkw55e8KjK4RWls1WRR80WkuJ93RSkqmfQv5t_DB7dse8hNiIMQypqEITC4fuKW7YsnhThw-0gLz9ICqG05Ixs5NorIxJuaunVIf7piINYU1QowAgB8bTEImwQzgVAZJtmhJhKiBl_tjY5ImsUG0p_qR4fiVDtlHU7-owIelKPbo6Df2ICnT35WvuaEHn6iI6ZqKCFuZFCYisD3kkBU8AXcpLmmhT100040Eh9LbgRlAJDn275f5m7pT4C6X6Wl7h5mkcbY4FCLU2mGlVDKo7UUJc74ZouTXCg_Iy7OICmL_q-9FCf0f9gCTdxGXxKg_8zWTAifxXz-lsRqoP2SG3uhLutWt_QD0TUZL49XGW5GiotWPIN9-DPRqHDiZth8tRm_gq7iNoh1FT8gxSSk_bLSSd6Uq3WRZ-MEURnMgdRl4_h0yePuLIOqt2CNO8jLA9HdzcPKtiIbUx6lI39_mJflPL1I3Xep-wY696aNwAiUR3tAOhvRYo7WudZY3dgqfJIQ_fmOoDK5fg2UkhKqv9I44ydyK0efiblAxR8EUqPGFsA9juMxFlTBT7QX9YrAq7LYp9ALeekRszY1Lbq0UbVTU5lbT9pqUen4gvUKYTiYs0yFL48FUMjAXSe6Jac4dZnbxAJtQbrdFjiwUzegiR66U7Fmb5ubJKNWQrLmveuRV_nXZ7YD0t3_LSJl-rchaC6XQ9T1oaNVW8sgbyVjf1FYD7UYZyM6TC8DLXmZN9ovZAH2_5DohA1Tyidp5UXBEIxhxNJO_mQaQWenBrfXUxkCApOifF_i92fjOPusYt7FdCIcwNCUqIz6rUN5g88n4EF9U4SHAL17D1TwDS0m9sigtatWusnN0KukLjLnuhv6Pc-c-cxfyBGi3QTTTY8CgXLOFJmKY6sqEr4OGBVFDq1e9cE0IgTJQQvLdyy7s5DQJirR-8k_KSBrwr_H8HTHsOAfndPmxLIJmp8nAj2yNMdDfXYmsx_G4wl8YRQfU1uh5U3CScrfGxY-6hZMlFv3Cd4L0UGiaRXsL1AulFc5x7y7HuLqWXfGzwK0yyVtwD3QnoiLVMhJM6VBCndPUQ8Z74Ily1vOzN-lSKcDcDAyarD2Ga7Vcf289OccXCAzSpflFl2cZDmbjZWhFkR-qtudZbEuBptUjZEdUzlat6XKTCStOmyvB-hNB1majgwvfDSY64elN2rfU7bqdEEytPgUsaYK33nPASPvJOQayHb6PCKX_ffbZyoc4dXbqdCSseWmiFSR7ZywXIgb4pafwoEfUZJYkrROJYWY75ThR01_Frh4CRSrxUQVXW4J8Kqk0TCw2haoSaLIkOC8th62COS1etqNBEkqI19mW1VfjSKgkwgvMVYXuKN6ymnqJxpOEO75UP6feD1KC_VFbajKIlLpjdUNIkzhRsq9_0LYeOVZRSDdrNmsNO15u70A-TydL7O_p5gV-y9wakdnMP_dWDDBOZR7tJyadWJcDZRiETZKy7mzj7Jsaz9hVuQcbOaDeptJLGbldzN3wtqdZEd7sZsSDtTYtOiAW-LItb65Ts9lfZd3zBALuD73XnbhR87c7flRJ1lau6JMpxIQuIZm159vBOOxpEAP3QD5Fwb88rlGM641CsJHltHyGOAzgRTRQph3XIRomTNgk-sBqCxHDYKkE-AhnqDrVJ1XRB_4JwHbQxzEvDwnv4NPvsfqFaNjDaSWa_E4aldstgScS0oZe1CdPdnRzuBytRhLOXfXdIoqg_JVJ_pZNIVRFFoH-WmQwv8KWUzlK4Jh7fQbs0F85bBgd-GKqlwGe3uua4f3HYB_L0iIQQJlPIkYns0xpPfmN0Hi9yMf3DUcmtrv0RQv9GQMo8tc1eLat8EQ95QZtAeeQ0CwLaMg21m3oL_n9qW8VNMlQMm6wHkyYS79hYAuF1A7fLegmvyzDJm_mUEWT0hSzkKLFvhTITa7BrOw1hGdJZYVI5hnsYIUc_2repLbV9SxhaXZphNSGUjfhA4WSIaAhRN_6V7T9oPdQGgyvb7alsOslVAMFSCbAuWr3Dmy_rq3KFODsgW3imtkvYRR9UYWhSSxUcCe8hcveis_BXXpFBSAt5YDjgI_USla5yP2igEjYAZcQDNU6hpQoaVFBBLOuqg1CZusHO8-a2stWfKfuB2WgNrE2rAfkWQixtPk7BjIAHyBsa1iM2uTxWeCCq4-ulmNNi0DDWvoiQ1A0fULFtogpT1YgZXmOmtClvtjZtgKKLFl6U0WzjRA4_Bk7hR7qa9mnJXxFI6JtJrQuw2PSH6W_UnfoGxOk2FfHqjYVXZqR7oLQiQrR-wXmCNitTIbfGD2vOs60G2KXtzYHrexRgsqFDKj1NPx00nVILImJZilDIHPWb3jjCIrjmZ73UV72lnYzT18p4hzEnaTePKHjPCRoR-pruRYM4pTdCTLVaqo8d7YWz4pO6TXTC3qQOWZ0DBEuhcesLcXvyJU8EdlMHtSeZGi5j8KxMfZeZVgrthygkZ1Z6P5EnAMnQUjSzfW77s3syBEWqH4iuCjOquUhePAvCrPfSJyZFGs08u6z0siCuT33LT-WbErwfpob7sj0GXZ05-EfTmsuSLDN-iuYzcPWvQRCW1EfpoI_m-3E4BcH0Yc52Y3SBxHOlr7EEkKtmMVfFnLr27yIqw_WrBYAVOPbalGxdvMxgtL1Ne_16T6BPtJhcu-sKR8TqUL1CpZN5MIyu77FQ6cXqo5otAz1tVopi0V2vXsF7pIToNb-KLtChHjBtDhiR12hQ4bn26-Nly6MDkVifDrAZ9rqU5VEd6YW0ppC9MsP-jymtpBBjWyWsF6GIklyNqIfl4136yq3QL-smEcgo2twG9SccWumUx9rpWgbSqCs1pBavakmpD5T5IftlQZ1ghDD5bV8ms6RLklNU7cBNMjOfhsHVxgvrCgajKsXSip86XVccAlWzZBbk_ojZYTwBOEjT6V01omQoYhwvx75EJu8gINPSx8bv0k8_JN0CLGmTboSYTLPaMSXpL5MDBmKeE8VKD_CM-ey2gfbDa1SzHzoghw302f5Y1VkiI_y5PBAXQ-cmAFppJ0CWKfGmHvcDPUip7G1mS-0DwwwYWv_uQx8Zz_3pESJ9n04PvWThkGT6dSkFrvxNzc0hL4-n6w9WNQSBXKsXmpmSnRwiGwRghrEbUbxbWEn-vNANZDFmNh-2yuER9fEceEqsYR_H1C56145JAiNvlsrfu3mnPadkP0xLJqUmqNNEF3WT_eShFnQT5l-7j9z6THU9Gt2SMC1eJ_QqfwnfXda_FODWRdQt7BadphIwvt0y3IHT63srMAUgsMDEh-z2no1Z-cDAwLJKCCPY9sWSmKaMoOZoyR2t-JTcr3T8SeoAyuiU3YFm6NIsETkn1y_lFFXy1nLwqkR7D64C1lozb-WG01EJEPJeJ9i73XbyOWzgCN-1D4Gtgtm085756-E-FooBdJMQ6MmXSzshlnZ-qm1Vs8o1UpGkkEN3iK891ag9juloyDDR8Ra6lJkXvt6vXAfzIqd4QkNRr4aMzDVXx3WExCH8r3LfL-JeV-IblGaOG-uDuIfVJqpao-zgvZqoTmU_hAtyu9mcXR0IkCgVS4YZo4RCn7WEFNdmmqfr_pxweiMBRUOQJ47n1A6YCtuXTFjeX-9-h4W1M-6Qw5IcZiqFZdEnA4ce5O_HIKHk5MvJIZWruZyRveYZW3lAdPB1U-NFL3v-D9LKWRYqDNHR2irPmEnejmjKPkQgkPE5LlrGEKsijufuGAhog4oJUkZCI54-t9SGSQlE3a3JtkkfQs3gq6tXDgFO7zdvpq6Or4I39UB7b67QbtA4Clyl9DOWeVoOkApWtkdDcLog8tn6VD_zCnI_5VwPk_qAuijaqlNZ27XLZkV-ZQXmKSNP0QMUUXDdyXqQ_m30e1p9NZ6B5fFx405mpK-InOoFMh92oHxQprDzXKm5fJXW8WV71MupUwW6OH6W3XcmVanfIPLZZznfsIjrpfaQGVb9Rmq8JoHlXc2-ScOyhvc0MLJUCj0v2kbydOtOP8OgpfImIIsx0yQH2YVuDwrT4mLvvWspB5M6I1of7dAru2y-pIAEFpTaETcI3jJNY1TwKkdn9bHT8q9aQAbosXSiCEQERB06VgWVi-bmeCEoVaoiPSby2icYjedjx60DLOHpVKYuFuiwti-wk-RL1U0iLzohEVm05RhQSX2taDE7l9leuKjDFCISNwi69QR0osMFomLFVcgmoT3XA7X5Edret6wrHBuSmdeaXzkJaVxWOkzZJg1A7B2hDsomeS0SK4pGdcutKkO91V8aUmBAQskHgV52R_tePV3-gJc2dGlltQdQYqCLv78cDiUPwUDqIZihEVMrsUBQ6DdWeAEqPyf97yBwT20qVbfysCb13ZqH7A7qLcuZh1xV5oejFnKA5wurTfU8HV6FNFgOI7RDkMLqhszLSQVmZuNyJVszUg4eTzw0KPQI80y1Vib9Vfzn6zk74mpT7cQaUVVWz1Y-4rPO3q8X2nCovuppyT9XD1gZ2QevTD1tVbmq4JUTl1sZTDLPq7AXBI5L-88GMbJ2z64b1PWlZbKFdgBERFyv0YM_Xcj_svPSD2quV3BERjbd1mQQfT012m_9jQakkNn5l9DWxWKRwjPMaGcCRAZl2NwXbyh3xLV0ehr-b26QDv8XNEibgo6yfjh6kEoJquO-4VY_EzAImxV_Gglwn3aOSCW_HPIXaQVewvTN78pLQUeYkNtztcAqzEtzLZhUtkTaFuxNVtJZ2iP7pMQcA3r7-eefv3vjhCocbz--_fDH7__-jz-8_fb_NkFlWtI5AAA)
- ```txt
- newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisharkeelmond
- ```
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- e # split the list on newlines
- µ | } # sort by:
- ⌈L # split on spaces: length of resulting array
- ⌈hLN # secondary key: length of the first word, negative (we want fishes with many words but few letters)
⇄ # reverse to put the biggest sorts at the beggining- ƛ⌈h} # keep only the first word
- u # uniquify
- "fish"- # remove any instance of "fish", since we're going to include it later.
- 21⊖“ # take the first 21 fishes (found by binary search), join them on empty string
- " dcatfnisharkeelmond"+ # append literal string, that counts for
- # danio, catfish, shark, eel, salmond and possibly one or two other common suffixes.
- 💎
- ```
- Created with the help of [Luminespire](https://vyxal.github.io/Luminespire).
- 267 fishes are included.
- # [Vyxal 3](https://github.com/Vyxal/Vyxal/tree/version-3/), 112 bytes
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- ```
- [Vyxal It Online!](https://vyxal.github.io/latest.html#H4sIAAAAAAAACm1bS5L0NnK-CqM3s7BqwhrtdAFvJnwB_VqAJIqFLpCg8OhS9VgRXjjCDofX3tjX8AW88EF0En-ZiQRQPbPoYmaSBPHIx5cJ9F_eriHuJr_9-MN3bzdrVhvffnx7--5tCasFZf_3f37_j3_78z_h5_bnf_zt93_9l__7L6J_K9O3t6tLt29vlz99__u__-fv__zf396mdTH5ekBs4t1av4dj_fb2dxPau4aQte2rN1t6-_Gnn797c8dZMtE_vf1DDOWcvn_77qc3c41uMce0eZPSRG3Slw4V-3JsVXIL3tIfSBfnaE2-uWMbXnExmWXg0eLdTLM3y10ls1lCpBa8fbgrE9dwJHcEIjdjJzRrIzHebSaHOG1mZGtD-2zjO9ol0kpPk3RtL3E63Z3IY7mFjycRFrNj66vHZn0jPX-Lr0PHmVc6m7hkh3GFdWTd0hrM9jgM3fc2g4_mNG43RC231k5t5MajiTtmYZ22EkGvXZCsiWF2R5WQkgzk0EOICr0wSMLDHPxRUBkacJugFeCTw-QsJp5CUy94ret7GUu0YyZt5Kezx3jwyBwOl8MgkOErh3FFLP4gOcN-jTx-lSRDSvkiKPE58piM8wjJMnUf7zj_YWNyqx2FJ0ym9rqkHEm_aGztOyIk0RbN00v_urD3ucsG9e7CEzNYhc_y7ZiNuxs_BVfVZsaHtceg0bvpETGhlth9DqHfPFas0d1BefXVY23UVhJf30O99NWcTZzllxZFrhdvRwMVIZpfo9nC8UV4C-VYWzdiuxvNUlbTSXcos-MFJzQ1ag4XKuftk4eW7mTurdGU5JeVfjZ5wpwzUT9mzXLTpQFzJ_X-yrbZgN430pcN85tL3Kw8fGyYfu2RzZm67Jabi3wNnpxEQAdqA26TDvN1Sr8UA700zrOo2hFZAzhYEexkLter8YElaTHedqqr9YxV1A9kuChRL3Zu0-BTRFBnh-mX9WFJNzfhD4xzyhbqpxJ8e577lKjMP6_kGypvzct30gO6GB7k0ETw0mKObtvUGbEIE6htodUpl8M0tj2U3TlFa69t2T2Wji_HQauNWYAbC3Oj23Nh1mbUmGZf7KC_xOmiEk2LlaP9IIuqog1Ozuyucq3pYr8OB5LHzeW6JMVeoMMwZ3e-fGIcZrH93Q1Ly9SR2RvdD4SmdrsKd3cc4QFJMPVWaHYVZtKvKR30Qfa6c1jMsvCHw0YfDPtsntNaKGTNLRipl8X1sJl1U0fJEtZPZp5Vg4kKcB2kozSxtITh19oaJgsr05pAiN7pIsOLLmVvtUXheGR9SWIwK7moaQ1bEx2feCTE5xrg5FgS7pM3-xntU9kE_3z3duaILKIMiJGZyYUXFE71aFKxOLXY4n3rNNHtKe8lBCrVn6KBztaq7pU4B34jOv7dTVv4QgGRPJc-StarH2baP6vvUlbuwt4cENvhzASZ00AxiG8gZ-op8IeJaCWo8UCwuliE8FaFp_W0YvA_5Hm9mqjy-hh5J_q1uY6XmFTIaxCdpybOxpcrt5D15eyZ_7CjWyK-UpYmLmHETjRIhAcFv2kvq-o5kArM5XTqqsBDI311Ocr17zKwIbyDeVA_T2yZ9QFgIsujheNhpWlPlVl-2xBvZe-34eq9W4lICxZ08W6fX4BnkzR_0SSnBQZjvi2fJz30wSyNeXEmLKpkmGcGiCAcdZwgkMI8urK_WYKFpwRE4TeuMEl9-xb6IABOn3zxRnDbuLoqbWbHQc2sgaOXrhFcSKfY4fTxkoQxn3pmSPDhGukqA98nt6AXUfwU6A-35OE14fukY6WcvSxsGk3vQvDOtkmEMVhdivDoD7WOP9jPsI0tQMens0RYe5_q2kebtAFEAEDr6W79qZJgRCtgXmF1cHANe3eRfjSWpePdBfoEOKbobCnpLr8XGXzJHQjTCG-RYITeq2x1RquZ6Wex9EvqIvNNqcYkM0o39qQWV93PamKWW7GOcLVq6CulUBMFPPucznKq1J4XCu7cj8al3fos_INSpOnVaXQ5Mr4sXrPLEoVGnv8VrQyN7cGhx4R4VksgGzPZYPJqE0Y5duzDRB4TlsjLcq63Um_COAnPNhWuhC4M2GwR4tTlrQF4tyrQCv1_Yh4i-tCmO_gTfmLSxqKZp0fw10vvHlsIX6kjIeenxB8BXNXdC0MGO-KwNbprHshHCEMutcaCuEmxeubQqVRdEejPExkGMmheWGZ1lA9ggm6WwtZRWoOsUmYNaDffHiHu0qL-SI4F4iJ9B3XyZFhaNDd4W3ictAfE-4Nb9naBD1vG-1UiTSs3AJsmkw55e8KjK4RWls1WRR80WkuJ93RSkqmfQv5t_DB7dse8hNiIMQypqEITC4fuKW7YsnhThw-0gLz9ICqG05Ixs5NorIxJuaunVIf7piINYU1QowAgB8bTEImwQzgVAZJtmhJhKiBl_tjY5ImsUG0p_qR4fiVDtlHU7-owIelKPbo6Df2ICnT35WvuaEHn6iI6ZqKCFuZFCYisD3kkBU8AXcpLmmhT100040Eh9LbgRlAJDn275f5m7pT4C6X6Wl7h5mkcbY4FCLU2mGlVDKo7UUJc74ZouTXCg_Iy7OICmL_q-9FCf0f9gCTdxGXxKg_8zWTAifxXz-lsRqoP2SG3uhLutWt_QD0TUZL49XGW5GiotWPIN9-DPRqHDiZth8tRm_gq7iNoh1FT8gxSSk_bLSSd6Uq3WRZ-MEURnMgdRl4_h0yePuLIOqt2CNO8jLA9HdzcPKtiIbUx6lI39_mJflPL1I3Xep-wY696aNwAiUR3tAOhvRYo7WudZY3dgqfJIQ_fmOoDK5fg2UkhKqv9I44ydyK0efiblAxR8EUqPGFsA9juMxFlTBT7QX9YrAq7LYp9ALeekRszY1Lbq0UbVTU5lbT9pqUen4gvUKYTiYs0yFL48FUMjAXSe6Jac4dZnbxAJtQbrdFjiwUzegiR66U7Fmb5ubJKNWQrLmveuRV_nXZ7YD0t3_LSJl-rchaC6XQ9T1oaNVW8sgbyVjf1FYD7UYZyM6TC8DLXmZN9ovZAH2_5DohA1Tyidp5UXBEIxhxNJO_mQaQWenBrfXUxkCApOifF_i92fjOPusYt7FdCIcwNCUqIz6rUN5g88n4EF9U4SHAL17D1TwDS0m9sigtatWusnN0KukLjLnuhv6Pc-c-cxfyBGi3QTTTY8CgXLOFJmKY6sqEr4OGBVFDq1e9cE0IgTJQQvLdyy7s5DQJirR-8k_KSBrwr_H8HTHsOAfndPmxLIJmp8nAj2yNMdDfXYmsx_G4wl8YRQfU1uh5U3CScrfGxY-6hZMlFv3Cd4L0UGiaRXsL1AulFc5x7y7HuLqWXfGzwK0yyVtwD3QnoiLVMhJM6VBCndPUQ8Z74Ily1vOzN-lSKcDcDAyarD2Ga7Vcf289OccXCAzSpflFl2cZDmbjZWhFkR-qtudZbEuBptUjZEdUzlat6XKTCStOmyvB-hNB1majgwvfDSY64elN2rfU7bqdEEytPgUsaYK33nPASPvJOQayHb6PCKX_ffbZyoc4dXbqdCSseWmiFSR7ZywXIgb4pafwoEfUZJYkrROJYWY75ThR01_Frh4CRSrxUQVXW4J8Kqk0TCw2haoSaLIkOC8th62COS1etqNBEkqI19mW1VfjSKgkwgvMVYXuKN6ymnqJxpOEO75UP6feD1KC_VFbajKIlLpjdUNIkzhRsq9_0LYeOVZRSDdrNmsNO15u70A-TydL7O_p5gV-y9wakdnMP_dWDDBOZR7tJyadWJcDZRiETZKy7mzj7Jsaz9hVuQcbOaDeptJLGbldzN3wtqdZEd7sZsSDtTYtOiAW-LItb65Ts9lfZd3zBALuD73XnbhR87c7flRJ1lau6JMpxIQuIZm159vBOOxpEAP3QD5Fwb88rlGM641CsJHltHyGOAzgRTRQph3XIRomTNgk-sBqCxHDYKkE-AhnqDrVJ1XRB_4JwHbQxzEvDwnv4NPvsfqFaNjDaSWa_E4aldstgScS0oZe1CdPdnRzuBytRhLOXfXdIoqg_JVJ_pZNIVRFFoH-WmQwv8KWUzlK4Jh7fQbs0F85bBgd-GKqlwGe3uua4f3HYB_L0iIQQJlPIkYns0xpPfmN0Hi9yMf3DUcmtrv0RQv9GQMo8tc1eLat8EQ95QZtAeeQ0CwLaMg21m3oL_n9qW8VNMlQMm6wHkyYS79hYAuF1A7fLegmvyzDJm_mUEWT0hSzkKLFvhTITa7BrOw1hGdJZYVI5hnsYIUc_2repLbV9SxhaXZphNSGUjfhA4WSIaAhRN_6V7T9oPdQGgyvb7alsOslVAMFSCbAuWr3Dmy_rq3KFODsgW3imtkvYRR9UYWhSSxUcCe8hcveis_BXXpFBSAt5YDjgI_USla5yP2igEjYAZcQDNU6hpQoaVFBBLOuqg1CZusHO8-a2stWfKfuB2WgNrE2rAfkWQixtPk7BjIAHyBsa1iM2uTxWeCCq4-ulmNNi0DDWvoiQ1A0fULFtogpT1YgZXmOmtClvtjZtgKKLFl6U0WzjRA4_Bk7hR7qa9mnJXxFI6JtJrQuw2PSH6W_UnfoGxOk2FfHqjYVXZqR7oLQiQrR-wXmCNitTIbfGD2vOs60G2KXtzYHrexRgsqFDKj1NPx00nVILImJZilDIHPWb3jjCIrjmZ73UV72lnYzT18p4hzEnaTePKHjPCRoR-pruRYM4pTdCTLVaqo8d7YWz4pO6TXTC3qQOWZ0DBEuhcesLcXvyJU8EdlMHtSeZGi5j8KxMfZeZVgrthygkZ1Z6P5EnAMnQUjSzfW77s3syBEWqH4iuCjOquUhePAvCrPfSJyZFGs08u6z0siCuT33LT-WbErwfpob7sj0GXZ05-EfTmsuSLDN-iuYzcPWvQRCW1EfpoI_m-3E4BcH0Yc52Y3SBxHOlr7EEkKtmMVfFnLr27yIqw_WrBYAVOPbalGxdvMxgtL1Ne_16T6BPtJhcu-sKR8TqUL1CpZN5MIyu77FQ6cXqo5otAz1tVopi0V2vXsF7pIToNb-KLtChHjBtDhiR12hQ4bn26-Nly6MDkVifDrAZ9rqU5VEd6YW0ppC9MsP-jymtpBBjWyWsF6GIklyNqIfl4136yq3QL-smEcgo2twG9SccWumUx9rpWgbSqCs1pBavakmpD5T5IftlQZ1ghDD5bV8ms6RLklNU7cBNMjOfhsHVxgvrCgajKsXSip86XVccAlWzZBbk_ojZYTwBOEjT6V01omQoYhwvx75EJu8gINPSx8bv0k8_JN0CLGmTboSYTLPaMSXpL5MDBmKeE8VKD_CM-ey2gfbDa1SzHzoghw302f5Y1VkiI_y5PBAXQ-cmAFppJ0CWKfGmHvcDPUip7G1mS-0DwwwYWv_uQx8Zz_3pESJ9n04PvWThkGT6dSkFrvxNzc0hL4-n6w9WNQSBXKsXmpmSnRwiGwRghrEbUbxbWEn-vNANZDFmNh-2yuER9fEceEqsYR_H1C56145JAiNvlsrfu3mnPadkP0xLJqUmqNNEF3WT_eShFnQT5l-7j9z6THU9Gt2SMC1eJ_QqfwnfXda_FODWRdQt7BadphIwvt0y3IHT63srMAUgsMDEh-z2no1Z-cDAwLJKCCPY9sWSmKaMoOZoyR2t-JTcr3T8SeoAyuiU3YFm6NIsETkn1y_lFFXy1nLwqkR7D64C1lozb-WG01EJEPJeJ9i73XbyOWzgCN-1D4Gtgtm085756-E-FooBdJMQ6MmXSzshlnZ-qm1Vs8o1UpGkkEN3iK891ag9juloyDDR8Ra6lJkXvt6vXAfzIqd4QkNRr4aMzDVXx3WExCH8r3LfL-JeV-IblGaOG-uDuIfVJqpao-zgvZqoTmU_hAtyu9mcXR0IkCgVS4YZo4RCn7WEFNdmmqfr_pxweiMBRUOQJ47n1A6YCtuXTFjeX-9-h4W1M-6Qw5IcZiqFZdEnA4ce5O_HIKHk5MvJIZWruZyRveYZW3lAdPB1U-NFL3v-D9LKWRYqDNHR2irPmEnejmjKPkQgkPE5LlrGEKsijufuGAhog4oJUkZCI54-t9SGSQlE3a3JtkkfQs3gq6tXDgFO7zdvpq6Or4I39UB7b67QbtA4Clyl9DOWeVoOkApWtkdDcLog8tn6VD_zCnI_5VwPk_qAuijaqlNZ27XLZkV-ZQXmKSNP0QMUUXDdyXqQ_m30e1p9NZ6B5fFx405mpK-InOoFMh92oHxQprDzXKm5fJXW8WV71MupUwW6OH6W3XcmVanfIPLZZznfsIjrpfaQGVb9Rmq8JoHlXc2-ScOyhvc0MLJUCj0v2kbydOtOP8OgpfImIIsx0yQH2YVuDwrT4mLvvWspB5M6I1of7dAru2y-pIAEFpTaETcI3jJNY1TwKkdn9bHT8q9aQAbosXSiCEQERB06VgWVi-bmeCEoVaoiPSby2icYjedjx60DLOHpVKYuFuiwti-wk-RL1U0iLzohEVm05RhQSX2taDE7l9leuKjDFCISNwi69QR0osMFomLFVcgmoT3XA7X5Edret6wrHBuSmdeaXzkJaVxWOkzZJg1A7B2hDsomeS0SK4pGdcutKkO91V8aUmBAQskHgV52R_tePV3-gJc2dGlltQdQYqCLv78cDiUPwUDqIZihEVMrsUBQ6DdWeAEqPyf97yBwT20qVbfysCb13ZqH7A7qLcuZh1xV5oejFnKA5wurTfU8HV6FNFgOI7RDkMLqhszLSQVmZuNyJVszUg4eTzw0KPQI80y1Vib9Vfzn6zk74mpT7cQaUVVWz1Y-4rPO3q8X2nCovuppyT9XD1gZ2QevTD1tVbmq4JUTl1sZTDLPq7AXBI5L-88GMbJ2z64b1PWlZbKFdgBERFyv0YM_Xcj_svPSD2quV3BERjbd1mQQfT012m_9jQakkNn5l9DWxWKRwjPMaGcCRAZl2NwXbyh3xLV0ehr-b26QDv8XNEibgo6yfjh6kEoJquO-4VY_EzAImxV_Gglwn3aOSCW_HPIXaQVewvTN78pLQUeYkNtztcAqzEtzLZhUtkTaFuxNVtJZ2iP7pMQcA3r7-eefv3vjhCocbz--_fDH7__-jz-8_fb_NkFlWtI5AAA)
- ```txt
- newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisharkeelmond
- ```
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- e # split the list on newlines
- µ | } # sort by:
- ⌈L # split on spaces: length of resulting array
- ⌈hLN # secondary key: length of the first word, negative (we want fishes with many words but few letters)
- ⇄ # reverse to put the biggest sorts at the beginning
- ƛ⌈h} # keep only the first word
- u # uniquify
- "fish"- # remove any instance of "fish", since we're going to include it later.
- 21⊖“ # take the first 21 fishes (found by binary search), join them on empty string
- " dcatfnisharkeelmond"+ # append literal string, that counts for
- # danio, catfish, shark, eel, salmond and possibly one or two other common suffixes.
- 💎
- ```
- Created with the help of [Luminespire](https://vyxal.github.io/Luminespire).
- 267 fishes are included.
#2: Post edited
by
Themoonisacheese
·
2026-03-13T13:53:40Z (6 months ago)
- # [Vyxal 3](https://github.com/Vyxal/Vyxal/tree/version-3/), 112 bytes
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- ```
- [Vyxal It Online!](https://vyxal.github.io/latest.html#H4sIAAAAAAAACm1bS5L0NnK-CqM3s7BqwhrtdAFvJnwB_VqAJIqFLpCg8OhS9VgRXjjCDofX3tjX8AW88EF0En-ZiQRQPbPoYmaSBPHIx5cJ9F_eriHuJr_9-MN3bzdrVhvffnx7--5tCasFZf_3f37_j3_78z_h5_bnf_zt93_9l__7L6J_K9O3t6tLt29vlz99__u__-fv__zf396mdTH5ekBs4t1av4dj_fb2dxPau4aQte2rN1t6-_Gnn797c8dZMtE_vf1DDOWcvn_77qc3c41uMce0eZPSRG3Slw4V-3JsVXIL3tIfSBfnaE2-uWMbXnExmWXg0eLdTLM3y10ls1lCpBa8fbgrE9dwJHcEIjdjJzRrIzHebSaHOG1mZGtD-2zjO9ol0kpPk3RtL3E63Z3IY7mFjycRFrNj66vHZn0jPX-Lr0PHmVc6m7hkh3GFdWTd0hrM9jgM3fc2g4_mNG43RC231k5t5MajiTtmYZ22EkGvXZCsiWF2R5WQkgzk0EOICr0wSMLDHPxRUBkacJugFeCTw-QsJp5CUy94ret7GUu0YyZt5Kezx3jwyBwOl8MgkOErh3FFLP4gOcN-jTx-lSRDSvkiKPE58piM8wjJMnUf7zj_YWNyqx2FJ0ym9rqkHEm_aGztOyIk0RbN00v_urD3ucsG9e7CEzNYhc_y7ZiNuxs_BVfVZsaHtceg0bvpETGhlth9DqHfPFas0d1BefXVY23UVhJf30O99NWcTZzllxZFrhdvRwMVIZpfo9nC8UV4C-VYWzdiuxvNUlbTSXcos-MFJzQ1ag4XKuftk4eW7mTurdGU5JeVfjZ5wpwzUT9mzXLTpQFzJ_X-yrbZgN430pcN85tL3Kw8fGyYfu2RzZm67Jabi3wNnpxEQAdqA26TDvN1Sr8UA700zrOo2hFZAzhYEexkLter8YElaTHedqqr9YxV1A9kuChRL3Zu0-BTRFBnh-mX9WFJNzfhD4xzyhbqpxJ8e577lKjMP6_kGypvzct30gO6GB7k0ETw0mKObtvUGbEIE6htodUpl8M0tj2U3TlFa69t2T2Wji_HQauNWYAbC3Oj23Nh1mbUmGZf7KC_xOmiEk2LlaP9IIuqog1Ozuyucq3pYr8OB5LHzeW6JMVeoMMwZ3e-fGIcZrH93Q1Ly9SR2RvdD4SmdrsKd3cc4QFJMPVWaHYVZtKvKR30Qfa6c1jMsvCHw0YfDPtsntNaKGTNLRipl8X1sJl1U0fJEtZPZp5Vg4kKcB2kozSxtITh19oaJgsr05pAiN7pIsOLLmVvtUXheGR9SWIwK7moaQ1bEx2feCTE5xrg5FgS7pM3-xntU9kE_3z3duaILKIMiJGZyYUXFE71aFKxOLXY4n3rNNHtKe8lBCrVn6KBztaq7pU4B34jOv7dTVv4QgGRPJc-StarH2baP6vvUlbuwt4cENvhzASZ00AxiG8gZ-op8IeJaCWo8UCwuliE8FaFp_W0YvA_5Hm9mqjy-hh5J_q1uY6XmFTIaxCdpybOxpcrt5D15eyZ_7CjWyK-UpYmLmHETjRIhAcFv2kvq-o5kArM5XTqqsBDI311Ocr17zKwIbyDeVA_T2yZ9QFgIsujheNhpWlPlVl-2xBvZe-34eq9W4lICxZ08W6fX4BnkzR_0SSnBQZjvi2fJz30wSyNeXEmLKpkmGcGiCAcdZwgkMI8urK_WYKFpwRE4TeuMEl9-xb6IABOn3zxRnDbuLoqbWbHQc2sgaOXrhFcSKfY4fTxkoQxn3pmSPDhGukqA98nt6AXUfwU6A-35OE14fukY6WcvSxsGk3vQvDOtkmEMVhdivDoD7WOP9jPsI0tQMens0RYe5_q2kebtAFEAEDr6W79qZJgRCtgXmF1cHANe3eRfjSWpePdBfoEOKbobCnpLr8XGXzJHQjTCG-RYITeq2x1RquZ6Wex9EvqIvNNqcYkM0o39qQWV93PamKWW7GOcLVq6CulUBMFPPucznKq1J4XCu7cj8al3fos_INSpOnVaXQ5Mr4sXrPLEoVGnv8VrQyN7cGhx4R4VksgGzPZYPJqE0Y5duzDRB4TlsjLcq63Um_COAnPNhWuhC4M2GwR4tTlrQF4tyrQCv1_Yh4i-tCmO_gTfmLSxqKZp0fw10vvHlsIX6kjIeenxB8BXNXdC0MGO-KwNbprHshHCEMutcaCuEmxeubQqVRdEejPExkGMmheWGZ1lA9ggm6WwtZRWoOsUmYNaDffHiHu0qL-SI4F4iJ9B3XyZFhaNDd4W3ictAfE-4Nb9naBD1vG-1UiTSs3AJsmkw55e8KjK4RWls1WRR80WkuJ93RSkqmfQv5t_DB7dse8hNiIMQypqEITC4fuKW7YsnhThw-0gLz9ICqG05Ixs5NorIxJuaunVIf7piINYU1QowAgB8bTEImwQzgVAZJtmhJhKiBl_tjY5ImsUG0p_qR4fiVDtlHU7-owIelKPbo6Df2ICnT35WvuaEHn6iI6ZqKCFuZFCYisD3kkBU8AXcpLmmhT100040Eh9LbgRlAJDn275f5m7pT4C6X6Wl7h5mkcbY4FCLU2mGlVDKo7UUJc74ZouTXCg_Iy7OICmL_q-9FCf0f9gCTdxGXxKg_8zWTAifxXz-lsRqoP2SG3uhLutWt_QD0TUZL49XGW5GiotWPIN9-DPRqHDiZth8tRm_gq7iNoh1FT8gxSSk_bLSSd6Uq3WRZ-MEURnMgdRl4_h0yePuLIOqt2CNO8jLA9HdzcPKtiIbUx6lI39_mJflPL1I3Xep-wY696aNwAiUR3tAOhvRYo7WudZY3dgqfJIQ_fmOoDK5fg2UkhKqv9I44ydyK0efiblAxR8EUqPGFsA9juMxFlTBT7QX9YrAq7LYp9ALeekRszY1Lbq0UbVTU5lbT9pqUen4gvUKYTiYs0yFL48FUMjAXSe6Jac4dZnbxAJtQbrdFjiwUzegiR66U7Fmb5ubJKNWQrLmveuRV_nXZ7YD0t3_LSJl-rchaC6XQ9T1oaNVW8sgbyVjf1FYD7UYZyM6TC8DLXmZN9ovZAH2_5DohA1Tyidp5UXBEIxhxNJO_mQaQWenBrfXUxkCApOifF_i92fjOPusYt7FdCIcwNCUqIz6rUN5g88n4EF9U4SHAL17D1TwDS0m9sigtatWusnN0KukLjLnuhv6Pc-c-cxfyBGi3QTTTY8CgXLOFJmKY6sqEr4OGBVFDq1e9cE0IgTJQQvLdyy7s5DQJirR-8k_KSBrwr_H8HTHsOAfndPmxLIJmp8nAj2yNMdDfXYmsx_G4wl8YRQfU1uh5U3CScrfGxY-6hZMlFv3Cd4L0UGiaRXsL1AulFc5x7y7HuLqWXfGzwK0yyVtwD3QnoiLVMhJM6VBCndPUQ8Z74Ily1vOzN-lSKcDcDAyarD2Ga7Vcf289OccXCAzSpflFl2cZDmbjZWhFkR-qtudZbEuBptUjZEdUzlat6XKTCStOmyvB-hNB1majgwvfDSY64elN2rfU7bqdEEytPgUsaYK33nPASPvJOQayHb6PCKX_ffbZyoc4dXbqdCSseWmiFSR7ZywXIgb4pafwoEfUZJYkrROJYWY75ThR01_Frh4CRSrxUQVXW4J8Kqk0TCw2haoSaLIkOC8th62COS1etqNBEkqI19mW1VfjSKgkwgvMVYXuKN6ymnqJxpOEO75UP6feD1KC_VFbajKIlLpjdUNIkzhRsq9_0LYeOVZRSDdrNmsNO15u70A-TydL7O_p5gV-y9wakdnMP_dWDDBOZR7tJyadWJcDZRiETZKy7mzj7Jsaz9hVuQcbOaDeptJLGbldzN3wtqdZEd7sZsSDtTYtOiAW-LItb65Ts9lfZd3zBALuD73XnbhR87c7flRJ1lau6JMpxIQuIZm159vBOOxpEAP3QD5Fwb88rlGM641CsJHltHyGOAzgRTRQph3XIRomTNgk-sBqCxHDYKkE-AhnqDrVJ1XRB_4JwHbQxzEvDwnv4NPvsfqFaNjDaSWa_E4aldstgScS0oZe1CdPdnRzuBytRhLOXfXdIoqg_JVJ_pZNIVRFFoH-WmQwv8KWUzlK4Jh7fQbs0F85bBgd-GKqlwGe3uua4f3HYB_L0iIQQJlPIkYns0xpPfmN0Hi9yMf3DUcmtrv0RQv9GQMo8tc1eLat8EQ95QZtAeeQ0CwLaMg21m3oL_n9qW8VNMlQMm6wHkyYS79hYAuF1A7fLegmvyzDJm_mUEWT0hSzkKLFvhTITa7BrOw1hGdJZYVI5hnsYIUc_2repLbV9SxhaXZphNSGUjfhA4WSIaAhRN_6V7T9oPdQGgyvb7alsOslVAMFSCbAuWr3Dmy_rq3KFODsgW3imtkvYRR9UYWhSSxUcCe8hcveis_BXXpFBSAt5YDjgI_USla5yP2igEjYAZcQDNU6hpQoaVFBBLOuqg1CZusHO8-a2stWfKfuB2WgNrE2rAfkWQixtPk7BjIAHyBsa1iM2uTxWeCCq4-ulmNNi0DDWvoiQ1A0fULFtogpT1YgZXmOmtClvtjZtgKKLFl6U0WzjRA4_Bk7hR7qa9mnJXxFI6JtJrQuw2PSH6W_UnfoGxOk2FfHqjYVXZqR7oLQiQrR-wXmCNitTIbfGD2vOs60G2KXtzYHrexRgsqFDKj1NPx00nVILImJZilDIHPWb3jjCIrjmZ73UV72lnYzT18p4hzEnaTePKHjPCRoR-pruRYM4pTdCTLVaqo8d7YWz4pO6TXTC3qQOWZ0DBEuhcesLcXvyJU8EdlMHtSeZGi5j8KxMfZeZVgrthygkZ1Z6P5EnAMnQUjSzfW77s3syBEWqH4iuCjOquUhePAvCrPfSJyZFGs08u6z0siCuT33LT-WbErwfpob7sj0GXZ05-EfTmsuSLDN-iuYzcPWvQRCW1EfpoI_m-3E4BcH0Yc52Y3SBxHOlr7EEkKtmMVfFnLr27yIqw_WrBYAVOPbalGxdvMxgtL1Ne_16T6BPtJhcu-sKR8TqUL1CpZN5MIyu77FQ6cXqo5otAz1tVopi0V2vXsF7pIToNb-KLtChHjBtDhiR12hQ4bn26-Nly6MDkVifDrAZ9rqU5VEd6YW0ppC9MsP-jymtpBBjWyWsF6GIklyNqIfl4136yq3QL-smEcgo2twG9SccWumUx9rpWgbSqCs1pBavakmpD5T5IftlQZ1ghDD5bV8ms6RLklNU7cBNMjOfhsHVxgvrCgajKsXSip86XVccAlWzZBbk_ojZYTwBOEjT6V01omQoYhwvx75EJu8gINPSx8bv0k8_JN0CLGmTboSYTLPaMSXpL5MDBmKeE8VKD_CM-ey2gfbDa1SzHzoghw302f5Y1VkiI_y5PBAXQ-cmAFppJ0CWKfGmHvcDPUip7G1mS-0DwwwYWv_uQx8Zz_3pESJ9n04PvWThkGT6dSkFrvxNzc0hL4-n6w9WNQSBXKsXmpmSnRwiGwRghrEbUbxbWEn-vNANZDFmNh-2yuER9fEceEqsYR_H1C56145JAiNvlsrfu3mnPadkP0xLJqUmqNNEF3WT_eShFnQT5l-7j9z6THU9Gt2SMC1eJ_QqfwnfXda_FODWRdQt7BadphIwvt0y3IHT63srMAUgsMDEh-z2no1Z-cDAwLJKCCPY9sWSmKaMoOZoyR2t-JTcr3T8SeoAyuiU3YFm6NIsETkn1y_lFFXy1nLwqkR7D64C1lozb-WG01EJEPJeJ9i73XbyOWzgCN-1D4Gtgtm085756-E-FooBdJMQ6MmXSzshlnZ-qm1Vs8o1UpGkkEN3iK891ag9juloyDDR8Ra6lJkXvt6vXAfzIqd4QkNRr4aMzDVXx3WExCH8r3LfL-JeV-IblGaOG-uDuIfVJqpao-zgvZqoTmU_hAtyu9mcXR0IkCgVS4YZo4RCn7WEFNdmmqfr_pxweiMBRUOQJ47n1A6YCtuXTFjeX-9-h4W1M-6Qw5IcZiqFZdEnA4ce5O_HIKHk5MvJIZWruZyRveYZW3lAdPB1U-NFL3v-D9LKWRYqDNHR2irPmEnejmjKPkQgkPE5LlrGEKsijufuGAhog4oJUkZCI54-t9SGSQlE3a3JtkkfQs3gq6tXDgFO7zdvpq6Or4I39UB7b67QbtA4Clyl9DOWeVoOkApWtkdDcLog8tn6VD_zCnI_5VwPk_qAuijaqlNZ27XLZkV-ZQXmKSNP0QMUUXDdyXqQ_m30e1p9NZ6B5fFx405mpK-InOoFMh92oHxQprDzXKm5fJXW8WV71MupUwW6OH6W3XcmVanfIPLZZznfsIjrpfaQGVb9Rmq8JoHlXc2-ScOyhvc0MLJUCj0v2kbydOtOP8OgpfImIIsx0yQH2YVuDwrT4mLvvWspB5M6I1of7dAru2y-pIAEFpTaETcI3jJNY1TwKkdn9bHT8q9aQAbosXSiCEQERB06VgWVi-bmeCEoVaoiPSby2icYjedjx60DLOHpVKYuFuiwti-wk-RL1U0iLzohEVm05RhQSX2taDE7l9leuKjDFCISNwi69QR0osMFomLFVcgmoT3XA7X5Edret6wrHBuSmdeaXzkJaVxWOkzZJg1A7B2hDsomeS0SK4pGdcutKkO91V8aUmBAQskHgV52R_tePV3-gJc2dGlltQdQYqCLv78cDiUPwUDqIZihEVMrsUBQ6DdWeAEqPyf97yBwT20qVbfysCb13ZqH7A7qLcuZh1xV5oejFnKA5wurTfU8HV6FNFgOI7RDkMLqhszLSQVmZuNyJVszUg4eTzw0KPQI80y1Vib9Vfzn6zk74mpT7cQaUVVWz1Y-4rPO3q8X2nCovuppyT9XD1gZ2QevTD1tVbmq4JUTl1sZTDLPq7AXBI5L-88GMbJ2z64b1PWlZbKFdgBERFyv0YM_Xcj_svPSD2quV3BERjbd1mQQfT012m_9jQakkNn5l9DWxWKRwjPMaGcCRAZl2NwXbyh3xLV0ehr-b26QDv8XNEibgo6yfjh6kEoJquO-4VY_EzAImxV_Gglwn3aOSCW_HPIXaQVewvTN78pLQUeYkNtztcAqzEtzLZhUtkTaFuxNVtJZ2iP7pMQcA3r7-eefv3vjhCocbz--_fDH7__-jz-8_fb_NkFlWtI5AAA)
- ```txt
- newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisharkeelmond
- ```
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- e # split the list on newlines
- µ | } # sort by:
- ⌈L # split on spaces: length of resulting array
- ⌈hLN # secondary key: length of the first word, negative (we want fishes with many words but few letters)
- ⇄ # reverse to put the biggest sorts at the beggining
- ƛ⌈h} # keep only the first word
- u # uniquify
- "fish"- # remove any instance of "fish", since we're going to include it later.
- 21⊖“ # take the first 21 fishes (found by binary search), join them on empty string
- " dcatfnisharkeelmond"+ # append literal string, that counts for
- # danio, catfish, shark, eel, salmond and possibly one or two other common suffixes.
- 💎
- ```
Created with the help of [Luminespire](https://vyxal.github.io/Luminespire).
- # [Vyxal 3](https://github.com/Vyxal/Vyxal/tree/version-3/), 112 bytes
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- ```
- [Vyxal It Online!](https://vyxal.github.io/latest.html#H4sIAAAAAAAACm1bS5L0NnK-CqM3s7BqwhrtdAFvJnwB_VqAJIqFLpCg8OhS9VgRXjjCDofX3tjX8AW88EF0En-ZiQRQPbPoYmaSBPHIx5cJ9F_eriHuJr_9-MN3bzdrVhvffnx7--5tCasFZf_3f37_j3_78z_h5_bnf_zt93_9l__7L6J_K9O3t6tLt29vlz99__u__-fv__zf396mdTH5ekBs4t1av4dj_fb2dxPau4aQte2rN1t6-_Gnn797c8dZMtE_vf1DDOWcvn_77qc3c41uMce0eZPSRG3Slw4V-3JsVXIL3tIfSBfnaE2-uWMbXnExmWXg0eLdTLM3y10ls1lCpBa8fbgrE9dwJHcEIjdjJzRrIzHebSaHOG1mZGtD-2zjO9ol0kpPk3RtL3E63Z3IY7mFjycRFrNj66vHZn0jPX-Lr0PHmVc6m7hkh3GFdWTd0hrM9jgM3fc2g4_mNG43RC231k5t5MajiTtmYZ22EkGvXZCsiWF2R5WQkgzk0EOICr0wSMLDHPxRUBkacJugFeCTw-QsJp5CUy94ret7GUu0YyZt5Kezx3jwyBwOl8MgkOErh3FFLP4gOcN-jTx-lSRDSvkiKPE58piM8wjJMnUf7zj_YWNyqx2FJ0ym9rqkHEm_aGztOyIk0RbN00v_urD3ucsG9e7CEzNYhc_y7ZiNuxs_BVfVZsaHtceg0bvpETGhlth9DqHfPFas0d1BefXVY23UVhJf30O99NWcTZzllxZFrhdvRwMVIZpfo9nC8UV4C-VYWzdiuxvNUlbTSXcos-MFJzQ1ag4XKuftk4eW7mTurdGU5JeVfjZ5wpwzUT9mzXLTpQFzJ_X-yrbZgN430pcN85tL3Kw8fGyYfu2RzZm67Jabi3wNnpxEQAdqA26TDvN1Sr8UA700zrOo2hFZAzhYEexkLter8YElaTHedqqr9YxV1A9kuChRL3Zu0-BTRFBnh-mX9WFJNzfhD4xzyhbqpxJ8e577lKjMP6_kGypvzct30gO6GB7k0ETw0mKObtvUGbEIE6htodUpl8M0tj2U3TlFa69t2T2Wji_HQauNWYAbC3Oj23Nh1mbUmGZf7KC_xOmiEk2LlaP9IIuqog1Ozuyucq3pYr8OB5LHzeW6JMVeoMMwZ3e-fGIcZrH93Q1Ly9SR2RvdD4SmdrsKd3cc4QFJMPVWaHYVZtKvKR30Qfa6c1jMsvCHw0YfDPtsntNaKGTNLRipl8X1sJl1U0fJEtZPZp5Vg4kKcB2kozSxtITh19oaJgsr05pAiN7pIsOLLmVvtUXheGR9SWIwK7moaQ1bEx2feCTE5xrg5FgS7pM3-xntU9kE_3z3duaILKIMiJGZyYUXFE71aFKxOLXY4n3rNNHtKe8lBCrVn6KBztaq7pU4B34jOv7dTVv4QgGRPJc-StarH2baP6vvUlbuwt4cENvhzASZ00AxiG8gZ-op8IeJaCWo8UCwuliE8FaFp_W0YvA_5Hm9mqjy-hh5J_q1uY6XmFTIaxCdpybOxpcrt5D15eyZ_7CjWyK-UpYmLmHETjRIhAcFv2kvq-o5kArM5XTqqsBDI311Ocr17zKwIbyDeVA_T2yZ9QFgIsujheNhpWlPlVl-2xBvZe-34eq9W4lICxZ08W6fX4BnkzR_0SSnBQZjvi2fJz30wSyNeXEmLKpkmGcGiCAcdZwgkMI8urK_WYKFpwRE4TeuMEl9-xb6IABOn3zxRnDbuLoqbWbHQc2sgaOXrhFcSKfY4fTxkoQxn3pmSPDhGukqA98nt6AXUfwU6A-35OE14fukY6WcvSxsGk3vQvDOtkmEMVhdivDoD7WOP9jPsI0tQMens0RYe5_q2kebtAFEAEDr6W79qZJgRCtgXmF1cHANe3eRfjSWpePdBfoEOKbobCnpLr8XGXzJHQjTCG-RYITeq2x1RquZ6Wex9EvqIvNNqcYkM0o39qQWV93PamKWW7GOcLVq6CulUBMFPPucznKq1J4XCu7cj8al3fos_INSpOnVaXQ5Mr4sXrPLEoVGnv8VrQyN7cGhx4R4VksgGzPZYPJqE0Y5duzDRB4TlsjLcq63Um_COAnPNhWuhC4M2GwR4tTlrQF4tyrQCv1_Yh4i-tCmO_gTfmLSxqKZp0fw10vvHlsIX6kjIeenxB8BXNXdC0MGO-KwNbprHshHCEMutcaCuEmxeubQqVRdEejPExkGMmheWGZ1lA9ggm6WwtZRWoOsUmYNaDffHiHu0qL-SI4F4iJ9B3XyZFhaNDd4W3ictAfE-4Nb9naBD1vG-1UiTSs3AJsmkw55e8KjK4RWls1WRR80WkuJ93RSkqmfQv5t_DB7dse8hNiIMQypqEITC4fuKW7YsnhThw-0gLz9ICqG05Ixs5NorIxJuaunVIf7piINYU1QowAgB8bTEImwQzgVAZJtmhJhKiBl_tjY5ImsUG0p_qR4fiVDtlHU7-owIelKPbo6Df2ICnT35WvuaEHn6iI6ZqKCFuZFCYisD3kkBU8AXcpLmmhT100040Eh9LbgRlAJDn275f5m7pT4C6X6Wl7h5mkcbY4FCLU2mGlVDKo7UUJc74ZouTXCg_Iy7OICmL_q-9FCf0f9gCTdxGXxKg_8zWTAifxXz-lsRqoP2SG3uhLutWt_QD0TUZL49XGW5GiotWPIN9-DPRqHDiZth8tRm_gq7iNoh1FT8gxSSk_bLSSd6Uq3WRZ-MEURnMgdRl4_h0yePuLIOqt2CNO8jLA9HdzcPKtiIbUx6lI39_mJflPL1I3Xep-wY696aNwAiUR3tAOhvRYo7WudZY3dgqfJIQ_fmOoDK5fg2UkhKqv9I44ydyK0efiblAxR8EUqPGFsA9juMxFlTBT7QX9YrAq7LYp9ALeekRszY1Lbq0UbVTU5lbT9pqUen4gvUKYTiYs0yFL48FUMjAXSe6Jac4dZnbxAJtQbrdFjiwUzegiR66U7Fmb5ubJKNWQrLmveuRV_nXZ7YD0t3_LSJl-rchaC6XQ9T1oaNVW8sgbyVjf1FYD7UYZyM6TC8DLXmZN9ovZAH2_5DohA1Tyidp5UXBEIxhxNJO_mQaQWenBrfXUxkCApOifF_i92fjOPusYt7FdCIcwNCUqIz6rUN5g88n4EF9U4SHAL17D1TwDS0m9sigtatWusnN0KukLjLnuhv6Pc-c-cxfyBGi3QTTTY8CgXLOFJmKY6sqEr4OGBVFDq1e9cE0IgTJQQvLdyy7s5DQJirR-8k_KSBrwr_H8HTHsOAfndPmxLIJmp8nAj2yNMdDfXYmsx_G4wl8YRQfU1uh5U3CScrfGxY-6hZMlFv3Cd4L0UGiaRXsL1AulFc5x7y7HuLqWXfGzwK0yyVtwD3QnoiLVMhJM6VBCndPUQ8Z74Ily1vOzN-lSKcDcDAyarD2Ga7Vcf289OccXCAzSpflFl2cZDmbjZWhFkR-qtudZbEuBptUjZEdUzlat6XKTCStOmyvB-hNB1majgwvfDSY64elN2rfU7bqdEEytPgUsaYK33nPASPvJOQayHb6PCKX_ffbZyoc4dXbqdCSseWmiFSR7ZywXIgb4pafwoEfUZJYkrROJYWY75ThR01_Frh4CRSrxUQVXW4J8Kqk0TCw2haoSaLIkOC8th62COS1etqNBEkqI19mW1VfjSKgkwgvMVYXuKN6ymnqJxpOEO75UP6feD1KC_VFbajKIlLpjdUNIkzhRsq9_0LYeOVZRSDdrNmsNO15u70A-TydL7O_p5gV-y9wakdnMP_dWDDBOZR7tJyadWJcDZRiETZKy7mzj7Jsaz9hVuQcbOaDeptJLGbldzN3wtqdZEd7sZsSDtTYtOiAW-LItb65Ts9lfZd3zBALuD73XnbhR87c7flRJ1lau6JMpxIQuIZm159vBOOxpEAP3QD5Fwb88rlGM641CsJHltHyGOAzgRTRQph3XIRomTNgk-sBqCxHDYKkE-AhnqDrVJ1XRB_4JwHbQxzEvDwnv4NPvsfqFaNjDaSWa_E4aldstgScS0oZe1CdPdnRzuBytRhLOXfXdIoqg_JVJ_pZNIVRFFoH-WmQwv8KWUzlK4Jh7fQbs0F85bBgd-GKqlwGe3uua4f3HYB_L0iIQQJlPIkYns0xpPfmN0Hi9yMf3DUcmtrv0RQv9GQMo8tc1eLat8EQ95QZtAeeQ0CwLaMg21m3oL_n9qW8VNMlQMm6wHkyYS79hYAuF1A7fLegmvyzDJm_mUEWT0hSzkKLFvhTITa7BrOw1hGdJZYVI5hnsYIUc_2repLbV9SxhaXZphNSGUjfhA4WSIaAhRN_6V7T9oPdQGgyvb7alsOslVAMFSCbAuWr3Dmy_rq3KFODsgW3imtkvYRR9UYWhSSxUcCe8hcveis_BXXpFBSAt5YDjgI_USla5yP2igEjYAZcQDNU6hpQoaVFBBLOuqg1CZusHO8-a2stWfKfuB2WgNrE2rAfkWQixtPk7BjIAHyBsa1iM2uTxWeCCq4-ulmNNi0DDWvoiQ1A0fULFtogpT1YgZXmOmtClvtjZtgKKLFl6U0WzjRA4_Bk7hR7qa9mnJXxFI6JtJrQuw2PSH6W_UnfoGxOk2FfHqjYVXZqR7oLQiQrR-wXmCNitTIbfGD2vOs60G2KXtzYHrexRgsqFDKj1NPx00nVILImJZilDIHPWb3jjCIrjmZ73UV72lnYzT18p4hzEnaTePKHjPCRoR-pruRYM4pTdCTLVaqo8d7YWz4pO6TXTC3qQOWZ0DBEuhcesLcXvyJU8EdlMHtSeZGi5j8KxMfZeZVgrthygkZ1Z6P5EnAMnQUjSzfW77s3syBEWqH4iuCjOquUhePAvCrPfSJyZFGs08u6z0siCuT33LT-WbErwfpob7sj0GXZ05-EfTmsuSLDN-iuYzcPWvQRCW1EfpoI_m-3E4BcH0Yc52Y3SBxHOlr7EEkKtmMVfFnLr27yIqw_WrBYAVOPbalGxdvMxgtL1Ne_16T6BPtJhcu-sKR8TqUL1CpZN5MIyu77FQ6cXqo5otAz1tVopi0V2vXsF7pIToNb-KLtChHjBtDhiR12hQ4bn26-Nly6MDkVifDrAZ9rqU5VEd6YW0ppC9MsP-jymtpBBjWyWsF6GIklyNqIfl4136yq3QL-smEcgo2twG9SccWumUx9rpWgbSqCs1pBavakmpD5T5IftlQZ1ghDD5bV8ms6RLklNU7cBNMjOfhsHVxgvrCgajKsXSip86XVccAlWzZBbk_ojZYTwBOEjT6V01omQoYhwvx75EJu8gINPSx8bv0k8_JN0CLGmTboSYTLPaMSXpL5MDBmKeE8VKD_CM-ey2gfbDa1SzHzoghw302f5Y1VkiI_y5PBAXQ-cmAFppJ0CWKfGmHvcDPUip7G1mS-0DwwwYWv_uQx8Zz_3pESJ9n04PvWThkGT6dSkFrvxNzc0hL4-n6w9WNQSBXKsXmpmSnRwiGwRghrEbUbxbWEn-vNANZDFmNh-2yuER9fEceEqsYR_H1C56145JAiNvlsrfu3mnPadkP0xLJqUmqNNEF3WT_eShFnQT5l-7j9z6THU9Gt2SMC1eJ_QqfwnfXda_FODWRdQt7BadphIwvt0y3IHT63srMAUgsMDEh-z2no1Z-cDAwLJKCCPY9sWSmKaMoOZoyR2t-JTcr3T8SeoAyuiU3YFm6NIsETkn1y_lFFXy1nLwqkR7D64C1lozb-WG01EJEPJeJ9i73XbyOWzgCN-1D4Gtgtm085756-E-FooBdJMQ6MmXSzshlnZ-qm1Vs8o1UpGkkEN3iK891ag9juloyDDR8Ra6lJkXvt6vXAfzIqd4QkNRr4aMzDVXx3WExCH8r3LfL-JeV-IblGaOG-uDuIfVJqpao-zgvZqoTmU_hAtyu9mcXR0IkCgVS4YZo4RCn7WEFNdmmqfr_pxweiMBRUOQJ47n1A6YCtuXTFjeX-9-h4W1M-6Qw5IcZiqFZdEnA4ce5O_HIKHk5MvJIZWruZyRveYZW3lAdPB1U-NFL3v-D9LKWRYqDNHR2irPmEnejmjKPkQgkPE5LlrGEKsijufuGAhog4oJUkZCI54-t9SGSQlE3a3JtkkfQs3gq6tXDgFO7zdvpq6Or4I39UB7b67QbtA4Clyl9DOWeVoOkApWtkdDcLog8tn6VD_zCnI_5VwPk_qAuijaqlNZ27XLZkV-ZQXmKSNP0QMUUXDdyXqQ_m30e1p9NZ6B5fFx405mpK-InOoFMh92oHxQprDzXKm5fJXW8WV71MupUwW6OH6W3XcmVanfIPLZZznfsIjrpfaQGVb9Rmq8JoHlXc2-ScOyhvc0MLJUCj0v2kbydOtOP8OgpfImIIsx0yQH2YVuDwrT4mLvvWspB5M6I1of7dAru2y-pIAEFpTaETcI3jJNY1TwKkdn9bHT8q9aQAbosXSiCEQERB06VgWVi-bmeCEoVaoiPSby2icYjedjx60DLOHpVKYuFuiwti-wk-RL1U0iLzohEVm05RhQSX2taDE7l9leuKjDFCISNwi69QR0osMFomLFVcgmoT3XA7X5Edret6wrHBuSmdeaXzkJaVxWOkzZJg1A7B2hDsomeS0SK4pGdcutKkO91V8aUmBAQskHgV52R_tePV3-gJc2dGlltQdQYqCLv78cDiUPwUDqIZihEVMrsUBQ6DdWeAEqPyf97yBwT20qVbfysCb13ZqH7A7qLcuZh1xV5oejFnKA5wurTfU8HV6FNFgOI7RDkMLqhszLSQVmZuNyJVszUg4eTzw0KPQI80y1Vib9Vfzn6zk74mpT7cQaUVVWz1Y-4rPO3q8X2nCovuppyT9XD1gZ2QevTD1tVbmq4JUTl1sZTDLPq7AXBI5L-88GMbJ2z64b1PWlZbKFdgBERFyv0YM_Xcj_svPSD2quV3BERjbd1mQQfT012m_9jQakkNn5l9DWxWKRwjPMaGcCRAZl2NwXbyh3xLV0ehr-b26QDv8XNEibgo6yfjh6kEoJquO-4VY_EzAImxV_Gglwn3aOSCW_HPIXaQVewvTN78pLQUeYkNtztcAqzEtzLZhUtkTaFuxNVtJZ2iP7pMQcA3r7-eefv3vjhCocbz--_fDH7__-jz-8_fb_NkFlWtI5AAA)
- ```txt
- newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisharkeelmond
- ```
- ```
- eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
- e # split the list on newlines
- µ | } # sort by:
- ⌈L # split on spaces: length of resulting array
- ⌈hLN # secondary key: length of the first word, negative (we want fishes with many words but few letters)
- ⇄ # reverse to put the biggest sorts at the beggining
- ƛ⌈h} # keep only the first word
- u # uniquify
- "fish"- # remove any instance of "fish", since we're going to include it later.
- 21⊖“ # take the first 21 fishes (found by binary search), join them on empty string
- " dcatfnisharkeelmond"+ # append literal string, that counts for
- # danio, catfish, shark, eel, salmond and possibly one or two other common suffixes.
- 💎
- ```
- Created with the help of [Luminespire](https://vyxal.github.io/Luminespire).
- 267 fishes are included.
#1: Initial revision
by
Themoonisacheese
·
2026-03-13T13:51:20Z (6 months ago)
# [Vyxal 3](https://github.com/Vyxal/Vyxal/tree/version-3/), 112 bytes
```
eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
```
[Vyxal It 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FnLr27yIqw_WrBYAVOPbalGxdvMxgtL1Ne_16T6BPtJhcu-sKR8TqUL1CpZN5MIyu77FQ6cXqo5otAz1tVopi0V2vXsF7pIToNb-KLtChHjBtDhiR12hQ4bn26-Nly6MDkVifDrAZ9rqU5VEd6YW0ppC9MsP-jymtpBBjWyWsF6GIklyNqIfl4136yq3QL-smEcgo2twG9SccWumUx9rpWgbSqCs1pBavakmpD5T5IftlQZ1ghDD5bV8ms6RLklNU7cBNMjOfhsHVxgvrCgajKsXSip86XVccAlWzZBbk_ojZYTwBOEjT6V01omQoYhwvx75EJu8gINPSx8bv0k8_JN0CLGmTboSYTLPaMSXpL5MDBmKeE8VKD_CM-ey2gfbDa1SzHzoghw302f5Y1VkiI_y5PBAXQ-cmAFppJ0CWKfGmHvcDPUip7G1mS-0DwwwYWv_uQx8Zz_3pESJ9n04PvWThkGT6dSkFrvxNzc0hL4-n6w9WNQSBXKsXmpmSnRwiGwRghrEbUbxbWEn-vNANZDFmNh-2yuER9fEceEqsYR_H1C56145JAiNvlsrfu3mnPadkP0xLJqUmqNNEF3WT_eShFnQT5l-7j9z6THU9Gt2SMC1eJ_QqfwnfXda_FODWRdQt7BadphIwvt0y3IHT63srMAUgsMDEh-z2no1Z-cDAwLJKCCPY9sWSmKaMoOZoyR2t-JTcr3T8SeoAyuiU3YFm6NIsETkn1y_lFFXy1nLwqkR7D64C1lozb-WG01EJEPJeJ9i73XbyOWzgCN-1D4Gtgtm085756-E-FooBdJMQ6MmXSzshlnZ-qm1Vs8o1UpGkkEN3iK891ag9juloyDDR8Ra6lJkXvt6vXAfzIqd4QkNRr4aMzDVXx3WExCH8r3LfL-JeV-IblGaOG-uDuIfVJqpao-zgvZqoTmU_hAtyu9mcXR0IkCgVS4YZo4RCn7WEFNdmmqfr_pxweiMBRUOQJ47n1A6YCtuXTFjeX-9-h4W1M-6Qw5IcZiqFZdEnA4ce5O_HIKHk5MvJIZWruZyRveYZW3lAdPB1U-NFL3v-D9LKWRYqDNHR2irPmEnejmjKPkQgkPE5LlrGEKsijufuGAhog4oJUkZCI54-t9SGSQlE3a3JtkkfQs3gq6tXDgFO7zdvpq6Or4I39UB7b67QbtA4Clyl9DOWeVoOkApWtkdDcLog8tn6VD_zCnI_5VwPk_qAuijaqlNZ27XLZkV-ZQXmKSNP0QMUUXDdyXqQ_m30e1p9NZ6B5fFx405mpK-InOoFMh92oHxQprDzXKm5fJXW8WV71MupUwW6OH6W3XcmVanfIPLZZznfsIjrpfaQGVb9Rmq8JoHlXc2-ScOyhvc0MLJUCj0v2kbydOtOP8OgpfImIIsx0yQH2YVuDwrT4mLvvWspB5M6I1of7dAru2y-pIAEFpTaETcI3jJNY1TwKkdn9bHT8q9aQAbosXSiCEQERB06VgWVi-bmeCEoVaoiPSby2icYjedjx60DLOHpVKYuFuiwti-wk-RL1U0iLzohEVm05RhQSX2taDE7l9leuKjDFCISNwi69QR0osMFomLFVcgmoT3XA7X5Edret6wrHBuSmdeaXzkJaVxWOkzZJg1A7B2hDsomeS0SK4pGdcutKkO91V8aUmBAQskHgV52R_tePV3-gJc2dGlltQdQYqCLv78cDiUPwUDqIZihEVMrsUBQ6DdWeAEqPyf97yBwT20qVbfysCb13ZqH7A7qLcuZh1xV5oejFnKA5wurTfU8HV6FNFgOI7RDkMLqhszLSQVmZuNyJVszUg4eTzw0KPQI80y1Vib9Vfzn6zk74mpT7cQaUVVWz1Y-4rPO3q8X2nCovuppyT9XD1gZ2QevTD1tVbmq4JUTl1sZTDLPq7AXBI5L-88GMbJ2z64b1PWlZbKFdgBERFyv0YM_Xcj_svPSD2quV3BERjbd1mQQfT012m_9jQakkNn5l9DWxWKRwjPMaGcCRAZl2NwXbyh3xLV0ehr-b26QDv8XNEibgo6yfjh6kEoJquO-4VY_EzAImxV_Gglwn3aOSCW_HPIXaQVewvTN78pLQUeYkNtztcAqzEtzLZhUtkTaFuxNVtJZ2iP7pMQcA3r7-eefv3vjhCocbz--_fDH7__-jz-8_fb_NkFlWtI5AAA)
```txt
newkingnorthminnowtworiooldportlostgrayfirebluezebratigerthreespinysouthgreengreatgiantfalse dcatfnisharkeelmond
```
```
eµ⌈L|⌈hLN}⇄ƛ⌈h}u "fish"-21⊖“" dcatfnisharkeelmond"+
e # split the list on newlines
µ | } # sort by:
⌈L # split on spaces: length of resulting array
⌈hLN # secondary key: length of the first word, negative (we want fishes with many words but few letters)
⇄ # reverse to put the biggest sorts at the beggining
ƛ⌈h} # keep only the first word
u # uniquify
"fish"- # remove any instance of "fish", since we're going to include it later.
21⊖“ # take the first 21 fishes (found by binary search), join them on empty string
" dcatfnisharkeelmond"+ # append literal string, that counts for
# danio, catfish, shark, eel, salmond and possibly one or two other common suffixes.
💎
```
Created with the help of [Luminespire](https://vyxal.github.io/Luminespire).