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RELEASE.md
Kapica, Peng Yu, Philip Yang, Pierre Blondeau, Po-Hsien Chu, powderluv, Puyu Wang, Rajendra Arora, Rasmus, Renat Idrisov, resec, Robin Richtsfeld, Ronald Eddy Jr, Sahil Singh, Sam Matzek, Sami Kama, sandipmgiri, Santiago Castro, Sayed Hadi Hashemi, Scott Tseng, Sergii Khomenko, Shahid, Shengpeng Liu, Shreyash Sharma, Shrinidhi Kl, Simone Cirillo, simsicon, Stanislav Levental, starsblinking, Stephen Lumenta, Steven Hickson, Su Tang, Taehoon Lee, Takuya
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src/main/resources/fess_indices/fess/it/stopwords.txt
sugli sull sugl sulla sulle per tra contro io tu lui lei noi voi loro mio mia miei mie tuo tua tuoi tue suo sua suoi sue nostro nostra nostri nostre vostro vostra vostri vostre mi ti ci vi lo la li le gli ne il un uno una ma ed se perché anche come dov dove che chi
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ci/official/requirements_updater/requirements.in
numpy ~= 1.23.5 ; python_version <= "3.11" numpy ~= 1.26.0 ; python_version >= "3.12" wheel ~= 0.41.2 h5py >= 3.10.0 lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version
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README.md
Quick Build ------- If you want to bootstrap Maven, you'll need: - Java 17+ - Maven 3.6.3 or later - Run Maven, specifying a location into which the completed Maven distro should be installed: ``` mvn -DdistributionTargetDir="$HOME/app/maven/apache-maven-4.0.x-SNAPSHOT" clean package ``` [home]: https://maven.apache.org/ [jira]: https://issues.apache.org/jira/projects/MNG/
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requirements_lock_3_11.txt
absl-py==2.1.0 \ --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \ --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff # via # keras-nightly # tb-nightly astor==0.7.1 \ --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \ --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e # via -r requirements.in astunparse==1.6.3 \
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requirements_lock_3_10.txt
absl-py==2.1.0 \ --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \ --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff # via # keras-nightly # tb-nightly astor==0.7.1 \ --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \ --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e # via -r requirements.in astunparse==1.6.3 \
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docs/pt/docs/async.md
Você pega seus hambúrgueres e vai para a mesa com seu _crush_ :heart_eyes:. Vocês comem os hambúrgueres, e o trabalho está terminado. Não houve muita conversa ou flerte já que a maior parte do tempo foi gasto esperando os lanches na frente do balcão. ---
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requirements_lock_3_12.txt
absl-py==2.1.0 \ --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \ --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff # via # keras-nightly # tb-nightly astor==0.7.1 \ --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \ --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e # via -r requirements.in astunparse==1.6.3 \
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requirements_lock_3_9.txt
absl-py==2.1.0 \ --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \ --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff # via # keras-nightly # tb-nightly astor==0.7.1 \ --hash=sha256:95c30d87a6c2cf89aa628b87398466840f0ad8652f88eb173125a6df8533fb8d \ --hash=sha256:fb503b9e2fdd05609fbf557b916b4a7824171203701660f0c55bbf5a7a68713e # via -r requirements.in astunparse==1.6.3 \
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docs/it/docs/index.md
* E altre funzionalità (grazie a Starlette) come: * **WebSockets** * **GraphQL** * test molto facili basati su `requests` e `pytest` * **CORS** * **Cookie Sessions** * ...e altro ancora. ## Prestazioni
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