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chore: updating audio vec embedding pacakges
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aatmanvaidya committed Sep 12, 2024
1 parent 6e50e06 commit a41f996
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6 changes: 5 additions & 1 deletion src/core/operators/audio_vec_embedding_requirements.in
Original file line number Diff line number Diff line change
Expand Up @@ -4,4 +4,8 @@ panns-inference==0.1.1
# torch==2.2.0+cpu
torch==2.4.1
memray==1.14.0
pyinstrument==4.7.3
pyinstrument==4.7.3
# not direct requirments, but added because of pip-audit report
certifi==2024.7.4
urllib3==2.2.2
scikit-learn==1.5.0
88 changes: 37 additions & 51 deletions src/core/operators/audio_vec_embedding_requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,12 @@ audioread==3.0.1 \
--hash=sha256:4cdce70b8adc0da0a3c9e0d85fb10b3ace30fbdf8d1670fd443929b61d117c33 \
--hash=sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d
# via librosa
certifi==2024.2.2 \
--hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \
--hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1
# via requests
certifi==2024.7.4 \
--hash=sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b \
--hash=sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90
# via
# -r audio_vec_embedding_requirements.in
# requests
cffi==1.16.0 \
--hash=sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc \
--hash=sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a \
Expand Down Expand Up @@ -950,49 +952,31 @@ rich==13.7.1 \
# via
# memray
# textual
scikit-learn==1.4.0 \
--hash=sha256:05fc5915b716c6cc60a438c250108e9a9445b522975ed37e416d5ea4f9a63381 \
--hash=sha256:0aba2a20d89936d6e72d95d05e3bf1db55bca5c5920926ad7b92c34f5e7d3bbe \
--hash=sha256:0db8e22c42f7980fe5eb22069b1f84c48966f3e0d23a01afde5999e3987a2501 \
--hash=sha256:0f33bbafb310c26b81c4d41ecaebdbc1f63498a3f13461d50ed9a2e8f24d28e4 \
--hash=sha256:11b3b140f70fbc9f6a08884631ae8dd60a4bb2d7d6d1de92738ea42b740d8992 \
--hash=sha256:1d041bc95006b545b59e458399e3175ab11ca7a03dc9a74a573ac891f5df1489 \
--hash=sha256:2404659fedec40eeafa310cd14d613e564d13dbf8f3c752d31c095195ec05de6 \
--hash=sha256:27ae4b0f1b2c77107c096a7e05b33458354107b47775428d1f11b23e30a73e8a \
--hash=sha256:2b465dd1dcd237b7b1dcd1a9048ccbf70a98c659474324fa708464c3a2533fad \
--hash=sha256:2bac5d56b992f8f06816f2cd321eb86071c6f6d44bb4b1cb3d626525820d754b \
--hash=sha256:349669b01435bc4dbf25c6410b0892073befdaec52637d1a1d1ff53865dc8db3 \
--hash=sha256:53b9e29177897c37e2ff9d4ba6ca12fdb156e22523e463db05def303f5c72b5c \
--hash=sha256:5c5c62ffb52c3ffb755eb21fa74cc2cbf2c521bd53f5c04eaa10011dbecf5f80 \
--hash=sha256:74812c9eabb265be69d738a8ea8d4884917a59637fcbf88a5f0e9020498bc6b3 \
--hash=sha256:76986d22e884ab062b1beecdd92379656e9d3789ecc1f9870923c178de55f9fe \
--hash=sha256:785ce3c352bf697adfda357c3922c94517a9376002971bc5ea50896144bc8916 \
--hash=sha256:7f0d2018ac6fa055dab65fe8a485967990d33c672d55bc254c56c35287b02fab \
--hash=sha256:80a21de63275f8bcd7877b3e781679d2ff1eddfed515a599f95b2502a3283d42 \
--hash=sha256:833999872e2920ce00f3a50839946bdac7539454e200eb6db54898a41f4bfd43 \
--hash=sha256:842b7d6989f3c574685e18da6f91223eb32301d0f93903dd399894250835a6f7 \
--hash=sha256:88bcb586fdff865372df1bc6be88bb7e6f9e0aa080dab9f54f5cac7eca8e2b6b \
--hash=sha256:8b6ac1442ec714b4911e5aef8afd82c691b5c88b525ea58299d455acc4e8dcec \
--hash=sha256:91a8918c415c4b4bf1d60c38d32958849a9191c2428ab35d30b78354085c7c7a \
--hash=sha256:923d778f378ebacca2c672ab1740e5a413e437fb45ab45ab02578f8b689e5d43 \
--hash=sha256:970ec697accaef10fb4f51763f3a7b1250f9f0553cf05514d0e94905322a0172 \
--hash=sha256:a0e2427d9ef46477625ab9b55c1882844fe6fc500f418c3f8e650200182457bc \
--hash=sha256:a6372c90bbf302387792108379f1ec77719c1618d88496d0df30cb8e370b4661 \
--hash=sha256:a8341eabdc754d5ab91641a7763243845e96b6d68e03e472531e88a4f1b09f21 \
--hash=sha256:aad2a63e0dd386b92da3270887a29b308af4d7c750d8c4995dfd9a4798691bcc \
--hash=sha256:c408b46b2fd61952d519ea1af2f8f0a7a703e1433923ab1704c4131520b2083b \
--hash=sha256:cb8f044a8f5962613ce1feb4351d66f8d784bd072d36393582f351859b065f7d \
--hash=sha256:d1f6bce875ac2bb6b52514f67c185c564ccd299a05b65b7bab091a4c13dde12d \
--hash=sha256:d3d75343940e7bf9b85c830c93d34039fa015eeb341c5c0b4cd7a90dadfe00d4 \
--hash=sha256:d4373c984eba20e393216edd51a3e3eede56cbe93d4247516d205643c3b93121 \
--hash=sha256:d439c584e58434d0350701bd33f6c10b309e851fccaf41c121aed55f6851d8cf \
--hash=sha256:d77df3d1e15fc37a9329999979fa7868ba8655dbab21fe97fc7ddabac9e08cc7 \
--hash=sha256:e22446ad89f1cb7657f0d849dcdc345b48e2d10afa3daf2925fdb740f85b714c \
--hash=sha256:e7eef6ea2ed289af40e88c0be9f7704ca8b5de18508a06897c3fe21e0905efdf \
--hash=sha256:e98632da8f6410e6fb6bf66937712c949b4010600ccd3f22a5388a83e610cc3c \
--hash=sha256:f77674647dd31f56cb12ed13ed25b6ed43a056fffef051715022d2ebffd7a7d1 \
--hash=sha256:fce93a7473e2f4ee4cc280210968288d6a7d7ad8dc6fa7bb7892145e407085f9
# via librosa
scikit-learn==1.5.0 \
--hash=sha256:057b991ac64b3e75c9c04b5f9395eaf19a6179244c089afdebaad98264bff37c \
--hash=sha256:118a8d229a41158c9f90093e46b3737120a165181a1b58c03461447aa4657415 \
--hash=sha256:12e40ac48555e6b551f0a0a5743cc94cc5a765c9513fe708e01f0aa001da2801 \
--hash=sha256:174beb56e3e881c90424e21f576fa69c4ffcf5174632a79ab4461c4c960315ac \
--hash=sha256:1b94d6440603752b27842eda97f6395f570941857456c606eb1d638efdb38184 \
--hash=sha256:1f77547165c00625551e5c250cefa3f03f2fc92c5e18668abd90bfc4be2e0bff \
--hash=sha256:261fe334ca48f09ed64b8fae13f9b46cc43ac5f580c4a605cbb0a517456c8f71 \
--hash=sha256:2a65af2d8a6cce4e163a7951a4cfbfa7fceb2d5c013a4b593686c7f16445cf9d \
--hash=sha256:2c75ea812cd83b1385bbfa94ae971f0d80adb338a9523f6bbcb5e0b0381151d4 \
--hash=sha256:40fb7d4a9a2db07e6e0cae4dc7bdbb8fada17043bac24104d8165e10e4cff1a2 \
--hash=sha256:460806030c666addee1f074788b3978329a5bfdc9b7d63e7aad3f6d45c67a210 \
--hash=sha256:47132440050b1c5beb95f8ba0b2402bbd9057ce96ec0ba86f2f445dd4f34df67 \
--hash=sha256:4c0c56c3005f2ec1db3787aeaabefa96256580678cec783986836fc64f8ff622 \
--hash=sha256:789e3db01c750ed6d496fa2db7d50637857b451e57bcae863bff707c1247bef7 \
--hash=sha256:855fc5fa8ed9e4f08291203af3d3e5fbdc4737bd617a371559aaa2088166046e \
--hash=sha256:a03b09f9f7f09ffe8c5efffe2e9de1196c696d811be6798ad5eddf323c6f4d40 \
--hash=sha256:a3a10e1d9e834e84d05e468ec501a356226338778769317ee0b84043c0d8fb06 \
--hash=sha256:a90c5da84829a0b9b4bf00daf62754b2be741e66b5946911f5bdfaa869fcedd6 \
--hash=sha256:d82c2e573f0f2f2f0be897e7a31fcf4e73869247738ab8c3ce7245549af58ab8 \
--hash=sha256:df8ccabbf583315f13160a4bb06037bde99ea7d8211a69787a6b7c5d4ebb6fc3 \
--hash=sha256:f405c4dae288f5f6553b10c4ac9ea7754d5180ec11e296464adb5d6ac68b6ef5
# via
# -r audio_vec_embedding_requirements.in
# librosa
scipy==1.12.0 \
--hash=sha256:196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc \
--hash=sha256:408c68423f9de16cb9e602528be4ce0d6312b05001f3de61fe9ec8b1263cad08 \
Expand Down Expand Up @@ -1124,7 +1108,9 @@ uc-micro-py==1.0.3 \
--hash=sha256:d321b92cff673ec58027c04015fcaa8bb1e005478643ff4a500882eaab88c48a \
--hash=sha256:db1dffff340817673d7b466ec86114a9dc0e9d4d9b5ba229d9d60e5c12600cd5
# via linkify-it-py
urllib3==2.2.1 \
--hash=sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d \
--hash=sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19
# via requests
urllib3==2.2.2 \
--hash=sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472 \
--hash=sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168
# via
# -r audio_vec_embedding_requirements.in
# requests

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