# buildifier: disable=load-on-top

workspace(name = "org_tensorflow")

# buildifier: disable=load-on-top

load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")

tf_http_archive(
    name = "rules_shell",
    sha256 = "bc61ef94facc78e20a645726f64756e5e285a045037c7a61f65af2941f4c25e1",
    strip_prefix = "rules_shell-0.4.1",
    urls = tf_mirror_urls(

 - [OGNL](https://github.com/codelibs/fess-script-ognl)

## Development Information

### Get Source Code

1. Clone Fess's repository:
    ```
    $ cd ~/workspace
    $ git clone https://github.com/codelibs/fess.git
    ```
    
2. Import the cloned repository as a [Maven](https://maven.apache.org/) project on [Eclipse](https://www.eclipse.org/eclipseide/) or another IDE.

Using `panicnil=1` restores the behavior of Go 1.20 and earlier.

When compiling a work module or workspace that declares
an older Go version, the Go toolchain amends its defaults
to match that older Go version as closely as possible.
For example, when a Go 1.21 toolchain compiles a program,
if the work module's `go.mod` or the workspace's `go.work`
says `go` `1.20`, then the program defaults to `panicnil=1`,
matching Go 1.20 instead of Go 1.21.

common:elinux_armhf --copt -mfp16-format=ieee

# Config-specific options should come above this line.

# Load rc file written by ./configure.
try-import %workspace%/.tf_configure.bazelrc

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.
test:release_base --test_size_filters=small,medium

### Anwendungserkennung { #application-discovery }

          labels: |
            in:building-gradle
            @dev-productivity
          body: |
            This PR updates the test buckets based on the latest test class data.

application/vnd.ms-excel=excel\n\
application/vnd.ms-excel.sheet.2=excel\n\
application/vnd.ms-excel.sheet.3=excel\n\
application/vnd.ms-excel.sheet.4=excel\n\
application/vnd.ms-excel.workspace.3=excel\n\
application/vnd.ms-excel.workspace.4=excel\n\
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet=excel\n\
application/vnd.ms-powerpoint=powerpoint\n\

     * application/vnd.ms-excel.sheet.2=excel<br>
     * application/vnd.ms-excel.sheet.3=excel<br>
     * application/vnd.ms-excel.sheet.4=excel<br>
     * application/vnd.ms-excel.workspace.3=excel<br>
     * application/vnd.ms-excel.workspace.4=excel<br>
     * application/vnd.openxmlformats-officedocument.spreadsheetml.sheet=excel<br>
     * application/vnd.ms-powerpoint=powerpoint<br>

/tensorflow/lite/tools/make/gen/**
/api_init_files_list.txt
/estimator_api_init_files_list.txt
*.whl
dist
venv/

# Android
.gradle
.idea
*.iml
local.properties
gradleBuild

# iOS
*.pbxproj
*.xcworkspace
/*.podspec
/tensorflow/lite/**/coreml/**/BUILD
/tensorflow/lite/**/ios/BUILD
/tensorflow/lite/**/objc/BUILD
/tensorflow/lite/**/swift/BUILD
/tensorflow/lite/examples/ios/simple/data/*.tflite

### `tf.keras`:

*   Improvements from the Functional API refactoring:
    *   Functional model construction does not need to maintain a global
        workspace graph, removing memory leaks especially when building many
        models or very large models.
    *   Functional model construction should be ~8-10% faster on average.