//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package mcontext

// Share a common context information between different
// packages in github.com/minio/minio

import (
	xhttp "github.com/minio/minio/internal/http"
)

// ContextTraceType represents the type of golang Context key

# Enable TF2 behaviors
from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi

  <artifactId>test</artifactId>
  <version>1.0</version>
  <packaging>pom</packaging>

  <name>Maven Integration Test :: MNG-6300</name>
  <description>
    Check that war packages the jar instead of a directory
  </description>

  <reporting>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-javadoc-plugin</artifactId>

# How to enable 'minio' performance profile with tuned?

## Prerequisites

Please make sure the following packages are already installed via `dnf` or `apt`: 

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

    #    }
    #}
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o sqlPackage: (NotRequired - Default all packages)
    #  The package of SQL file for outsideSql.
    #  This is basically for narrowing SQL-searching target,
    #  for example, when the project has SQL files for other framework.
    #  So basically you don't need this.
    #

RUN (New-Object Net.WebClient).DownloadFile('https://aka.ms/vs/17/release/vs_community.exe', 'C:\TEMP\vs_community.exe');
# Install Visual Studio 2022 Build Tools + Compiler
SHELL ["cmd", "/S", "/C"]
# Packages, and component versions, can be found here:
# https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-build-tools
RUN C:\TEMP\vs_community.exe \
        --quiet --wait --norestart --nocache \

```

Das würde bedeuten:

* Beginnend im selben Package, in dem sich dieses Modul (die Datei `app/routers/items.py`) befindet (das Verzeichnis `app/routers/`) ...
* gehe zum übergeordneten Package (das Verzeichnis `app/`) ...
* gehe dann zum übergeordneten Package dieses Packages (es gibt kein übergeordnetes Package, `app` ist die oberste Ebene 😱) ...

    # o packageBase: (Required)
    #  The base directory of package for generated class.
    #  The class package is 'this property value + detail package value'.
    #  However, detail packages have default value so basically
    #  you only have to specify the property 'packageBase'.
    #  If this property is specified and detail package properties is not specified, 
    #  Then the packages of generated class are as follows:
    #

      description: Please provide use cases that actually came up in the real world.
    validations:
      required: true

  - type: dropdown
    attributes:
      label: Packages
      description: Please select all of the packages that are relevant to this feature request.
      multiple: true
      options:
        - com.google.common.annotations
        - com.google.common.base
        - com.google.common.cache

      "keras.api._v1.keras.__internal__.legacy.rnn_cell")
_current_module.nn.__path__ = [_module_dir] + _current_module.nn.__path__

del importlib

# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll
from tensorflow.python.lib.io import file_io as _fi