<div class="col-sm-2">
		<la:message key="labels.pagination_page_guide_msg"
			arg0="${f:h(pager.currentPageNumber)}"
			arg1="${f:h(pager.allPageCount)}"
			arg2="${f:h(pager.allRecordCount)}" />
	</div>
	<nav aria-label="...">
	</nav>
	<div class="col-sm-10">
		<ul class="pagination pagination-sm m-0 float-right">
			<c:if test="${pager.existPrePage}">
				<li class="page-item"><la:link
						styleClass="page-link"

                                <div class="row">
                                    <div class="col-sm-12">
                                        <table class="table table-bordered table-striped" aria-label="<la:message key="labels.job_log_list" />">
                                            <thead>
                                            <tr>

                                    <la:errors/>
                                </div>
                                    <%-- Form Fields --%>
                                <table class="table table-bordered" aria-label="<la:message key="labels.job_log_details" />">
                                    <tbody>
                                    <tr>
                                        <th style="width: 25%"><la:message

```Python
from .routers import items, users
```

A segunda versão é uma "importação absoluta":

```Python
from app.routers import items, users
```

Para saber mais sobre pacotes e módulos Python, leia <a href="https://docs.python.org/3/tutorial/modules.html" class="external-link" target="_blank">a documentação oficial do Python sobre módulos</a>.

///

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

                                    <la:errors/>
                                </div>
                                    <%-- Form Fields --%>
                                <table class="table table-bordered" aria-label="<la:message key="labels.scheduledjob_details" />">
                                    <tbody>
                                    <tr>

Ao definir `--proxy-headers`, agora o FastAPI conseguirá redirecionar para o local correto. 😎

```
https://mysuperapp.com/items/
```

/// tip | Dica

Se você quiser saber mais sobre HTTPS, confira o tutorial [Sobre HTTPS](../deployment/https.md){.internal-link target=_blank}.

///

### Como funcionam os headers encaminhados pelo proxy { #how-proxy-forwarded-headers-work }

     *
     * @param baseKey the base key
     * @param label key derivation label
     * @param context key derivation context
     * @param length desired key length in bytes
     * @return derived key
     * @throws GeneralSecurityException if key derivation fails
     */
    public byte[] deriveKey(byte[] baseKey, String label, byte[] context, int length) throws GeneralSecurityException {
        checkNotClosed();

jobs:
  build:
    # Don't do this in forks, and if labeled, only for 'kokoro:force-run'
    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']
    steps:
      - name: Stop old running containers (if any)
        shell: bash

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