minio/minio ``` ### Installing certificates from third party CAs MinIO can connect to other servers, including MinIO nodes or other server types such as NATs and Redis. If these servers use certificates that were not registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true` and you're installing certificates for third party CAs, remember...

#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"
#include "tensorflow/core/util/equal_graph_def.h"

```Dockerfile
CMD ["fastapi", "run", "app/main.py", "--proxy-headers", "--port", "80"]
```

#### Caché de Docker { #docker-cache }

Hay un truco importante en este `Dockerfile`, primero copiamos **el archivo con las dependencias solo**, no el resto del código. Déjame decirte por qué es así.

```Dockerfile
COPY ./requirements.txt /code/requirements.txt
```

minio/minio ``` ### Installing certificates from third party CAs MinIO can connect to other servers, including MinIO nodes or other server types such as NATs and Redis. If these servers use certificates that were not registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true` and you're installing certificates for third party CAs, remember...

wser":{"_":[{"key":"csp_policy","value":"default-src 'self' 'unsafe-eval' 'unsafe-inline';"},{"key":"hsts_seconds","value":"0"},{"key":"hsts_include_subdomains","value":"off"},{"key":"hsts_preload","value":"off"},{"key":"referrer_policy","value":"strict-origin-when-cross-origin"}]},"cache":{"_":[{"key":"enable","value":"off"},{"key":"endpoint","value":""},{"key":"block_size","value":""}]},"callhome":{"_":[{"key":"enable","value":"off"},{"key":"frequency","value":"24h"}]},"compression":{"_":[{"ke...

    * `File()`

* The new parameter fields are:

    * `default_factory`
    * `alias_priority`
    * `validation_alias`
    * `serialization_alias`
    * `discriminator`
    * `strict`
    * `multiple_of`
    * `allow_inf_nan`
    * `max_digits`
    * `decimal_places`
    * `json_schema_extra`

...you can read about them in the Pydantic docs.

# Release 2.5.0

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.