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 \

#
# 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 3.11
# 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 \

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

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip

labels.facet_filetype_json=Json
labels.facet_filetype_ocaml=OCaml
labels.facet_filetype_perl=Perl
labels.facet_filetype_php=PHP
labels.facet_filetype_properties=Properties
labels.facet_filetype_python=Python
labels.facet_filetype_ruby=Ruby
labels.facet_filetype_scala=Scala
labels.facet_filetype_shell=Shell Script
labels.facet_filetype_vb=Visual Basic
labels.facet_filetype_others=Others
labels.facet_label_reset=Reset

  </mime-type>

  <mime-type type="text/x-python">
    <_comment>Python script</_comment>
    <magic priority="50">
      <match value="#!/bin/python" type="string" offset="0"/>
      <match value="#! /bin/python" type="string" offset="0"/>
      <match value="eval &quot;exec /bin/python" type="string" offset="0"/>
      <match value="#!/usr/bin/python" type="string" offset="0"/>

// Tensor.
// TFv2 does not depend on this conversion. There is no matching
// TF_TensorFromTensorV1 because the conversion to string is performed by the
// python side of Session.
static Status TF_TensorToTensorV1(const TF_Tensor* src, Tensor* dst) {
  Status status = TF_TensorToTensor(src, dst);
  if (!status.ok()) {
    return status;
  }