## Onde os pacotes são instalados

Quando você instala o Python, ele cria alguns diretórios com alguns arquivos no seu computador.

Alguns desses diretórios são os responsáveis ​​por ter todos os pacotes que você instala.

Quando você executa:

<div class="termy">

```console
// Não execute isso agora, é apenas um exemplo 🤓
$ pip install "fastapi[standard]"
---> 100%
```

</div>

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.

  # Uninstall tf nightly wheel built with numpy1.
  "$python" -m pip uninstall -y tf_nightly_numpy1
  # Install tf nightly cpu wheel built with numpy2.x from PyPI in numpy1.x env.
  "$python" -m pip install tf-nightly-cpu
  if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
    "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'

Quando você precisar receber campos de formulário ao invés de JSON, você pode usar `Form`.

/// info | "Informação"

Para usar formulários, primeiro instale <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Ex: `pip install python-multipart`.

///

## Importe `Form`

Importe `Form` de `fastapi`:

```Python hl_lines="1"

          .put(ImmutableClassToInstanceMap.class, ImmutableClassToInstanceMap.builder().build())
          .put(Comparable.class, ByToString.INSTANCE)
          .put(Comparator.class, AlwaysEqual.INSTANCE)
          .put(Ordering.class, AlwaysEqual.INSTANCE)
          .put(Range.class, Range.all())
          .put(MapDifference.class, Maps.difference(ImmutableMap.of(), ImmutableMap.of()))
          .put(

		}
	}
	return nil
}

func ObjectToInstance(c controllers.Object) *resource.Instance {
	return &resource.Instance{
		Origin: &legacykube.Origin{
			Type: kubetypes.GvkFromObject(c),
			FullName: resource.FullName{
				Namespace: resource.Namespace(c.GetNamespace()),
				Name:      resource.LocalName(c.GetName()),

          .put(ImmutableClassToInstanceMap.class, ImmutableClassToInstanceMap.builder().build())
          .put(Comparable.class, ByToString.INSTANCE)
          .put(Comparator.class, AlwaysEqual.INSTANCE)
          .put(Ordering.class, AlwaysEqual.INSTANCE)
          .put(Range.class, Range.all())
          .put(MapDifference.class, Maps.difference(ImmutableMap.of(), ImmutableMap.of()))
          .put(

@test "Wheel is installable" {
    python3 -m venv /tf/venv
    source /tf/venv/bin/activate
    python3 -m pip install --upgrade setuptools wheel
    python3 -m pip install "$TF_WHEEL"
}

@test "TensorFlow is importable" {
    source /tf/venv/bin/activate
    python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
}

# Is this still useful?
@test "TensorFlow has Keras" {

#!/bin/bash

# This script is used to test the migration of IAM content from old minio
# instance to new minio instance.
#
# To run it locally, start the LDAP server in github.com/minio/minio-iam-testing
# repo (e.g. make podman-run), and then run this script.
#
# This script assumes that LDAP server is at:
#
#   `localhost:1389`
#
# if this is not the case, set the environment variable
# `_MINIO_LDAP_TEST_SERVER`.