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  1. ci/official/requirements_updater/requirements.in

    numpy >= 2.0.0, < 2.2.0
    wheel ~= 0.41.2
    h5py >= 3.11.0
    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
    ml_dtypes >= 0.4.0, < 0.5.0
    # Install tensorboard, and keras
    # Note that here we want the latest version that matches TF major.minor version
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Tue Oct 01 18:46:13 UTC 2024
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  2. ci/official/requirements_updater/numpy1_requirements/requirements.in

    numpy ~= 1.26.0
    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
    ml_dtypes >= 0.4.0, < 0.5.0
    # Install tensorboard, and keras
    # Note that here we want the latest version that matches TF major.minor version
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Fri Oct 11 22:42:53 UTC 2024
    - 874 bytes
    - Viewed (0)
  3. docs/pt/docs/tutorial/query-param-models.md

    Isso permitiria que você **reutilizasse o modelo** em **diversos lugares**, e também declarasse validações e metadados de todos os parâmetros de uma única vez. 😎
    
    /// note | Nota
    
    Isso é suportado desde o FastAPI versão `0.115.0`. 🤓
    
    ///
    
    ## Parâmetros de Consulta com um Modelo Pydantic
    
    Declare os **parâmetros de consulta** que você precisa em um **modelo Pydantic**, e então declare o parâmetro como `Query`:
    
    //// tab | Python 3.10+
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Tue Oct 15 09:53:14 UTC 2024
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  4. docs/en/docs/tutorial/query-param-models.md

    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    ## Query Parameters with a Pydantic Model
    
    Declare the **query parameters** that you need in a **Pydantic model**, and then declare the parameter as `Query`:
    
    //// tab | Python 3.10+
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  5. docs/pt/docs/tutorial/header-param-models.md

    Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadadados para todos os parâmetros de uma vez. 😎
    
    /// note | Nota
    
    Isso é possível desde a versão `0.115.0` do FastAPI. 🤓
    
    ///
    
    ## Parâmetros do Cabeçalho com um Modelo Pydantic
    
    Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Tue Oct 22 20:41:28 UTC 2024
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  6. docs/pt/docs/tutorial/cookie-param-models.md

    Isso lhe permitiria **reutilizar o modelo** em **diversos lugares** e também declarar validações e metadata para todos os parâmetros de uma vez. 😎
    
    /// note | Nota
    
    Isso é suportado desde a versão `0.115.0` do FastAPI. 🤓
    
    ///
    
    /// tip | Dica
    
    Essa mesma técnica se aplica para `Query`, `Cookie`, e `Header`. 😎
    
    ///
    
    ## Cookies com Modelos Pydantic
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Mon Oct 07 20:18:07 UTC 2024
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  7. requirements_lock_3_10.txt

        --hash=sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f
        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
    six==1.16.0 \
        --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
        --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
        # via
        #   astunparse
        #   google-pasta
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Sat Oct 26 00:18:03 UTC 2024
    - 48.6K bytes
    - Viewed (0)
  8. requirements_lock_3_9.txt

        --hash=sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f
        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
    six==1.16.0 \
        --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
        --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
        # via
        #   astunparse
        #   google-pasta
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Sat Oct 26 00:18:03 UTC 2024
    - 48.3K bytes
    - Viewed (0)
  9. ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_11.txt

        --hash=sha256:e1f97cd89c0fe1a0685f8f89d85fa305deb3067d0668151571ba50913e445820
        # via
        #   -r ci/official/requirements_updater/requirements.in
        #   jax
    six==1.16.0 \
        --hash=sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926 \
        --hash=sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
        # via
        #   astunparse
        #   google-pasta
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Fri Oct 11 22:42:53 UTC 2024
    - 47.2K bytes
    - Viewed (0)
  10. docs/en/docs/tutorial/header-param-models.md

    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    ## Header Parameters with a Pydantic Model
    
    Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:
    
    //// tab | Python 3.10+
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 3.5K bytes
    - Viewed (0)
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