#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.12
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

Neste exemplo, usaremos **SQLite**, porque ele usa um único arquivo e o Python tem suporte integrado. Assim, você pode copiar este exemplo e executá-lo como está.

Mais tarde, para sua aplicação em produção, você pode querer usar um servidor de banco de dados como o **PostgreSQL**.

/// tip | Dica

                                                    TF_Status* status);
// Get an attribute type given an op name; a fusion of TFE_NewOp and
// TFE_OpGetAttrType for use from Python without the overhead of the individual
// calls and memory management of TFE_Op.
TF_CAPI_EXPORT extern TF_AttrType TFE_OpNameGetAttrType(
    TFE_Context* ctx, const char* op_or_function_name, const char* attr_name,

    public static final String EXECUTE_TYPE_CRAWLER = "crawler";

    public static final String EXECUTE_TYPE_THUMBNAIL = "thumbnail";

    public static final String EXECUTE_TYPE_PYTHON = "python";

    public static final String EXECUTE_TYPE_SUGGEST = "suggest";

    public static final String DEFAULT_SCRIPT = "groovy";

    public static final String TEXT_FRAGMENTS = "text_fragments";

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

job.max.crawler.processes=0
job.default.script=groovy
job.system.property.filter.pattern=

processors=0
java.command.path=java
python.command.path=python
path.encoding=UTF-8
use.own.tmp.dir=true
max.log.output.length=4000
adaptive.load.control=50
supported.uploaded.js.extentions=js
supported.uploaded.css.extentions=css

        "tfe_tensor_debug_info_internal.h",
        "tfe_tensorhandle_internal.h",
    ],
    visibility = [
        "//tensorflow/core/function/runtime_client:__pkg__",
        "//tensorflow/python:__subpackages__",
    ],
)

cc_library(
    name = "c_api_internal",
    hdrs = [
        "c_api_experimental.h",
        "c_api_internal.h",
    ],
    visibility = ["//tensorflow:internal"],

#
# This file is autogenerated by pip-compile with Python 3.9
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.1.0 \
    --hash=sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308 \
    --hash=sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \