*
     * @param tc
     *            context to use
     */
    public Type2Message(final CIFSContext tc) {
        this(tc, getDefaultFlags(tc), null, null);
    }

    /**
     * Creates a Type-2 message in response to the given Type-1 message
     * using default values from the current environment.
     *
     * @param tc
     *            context to use
     * @param type1

  from("src/commonJvmAndroid/kotlinTemplates")
  into(kotlinTemplatesOutput)

  filteringCharset = Charsets.UTF_8.toString()

  expand(
    // Build & use okhttp3/internal/-InternalVersion.kt
    "projectVersion" to project.version,
  )
}

// Build & use okhttp3/internal/idn/IdnaMappingTableInstance.kt
val generateIdnaMappingTableConfiguration: Configuration by configurations.creating
dependencies {

/*
 * Copyright (C) 2011 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the
 * License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either

### Setup MinIO with Identity Provider

Make sure we have followed the previous step and configured each software independently, once done we can now proceed to use MinIO STS API and MinIO server to use these credentials to perform object API operations.

#### KeyCloak

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123

 * @version 0.0.1
 * @license MIT
 */

'use strict';

/** Generate a terminal widget. */
class Termynal {
    /**
     * Construct the widget's settings.
     * @param {(string|Node)=} container - Query selector or container element.
     * @param {Object=} options - Custom settings.
     * @param {string} options.prefix - Prefix to use for data attributes.

/*
 * Copyright (C) 2011 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License

   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

/*
 * Copyright (C) 2011 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License

    }
  }

  /**
   * Returns a funnel that extracts the characters from a {@code CharSequence}, a character at a
   * time, without performing any encoding. If you need to use a specific encoding, use {@link
   * Funnels#stringFunnel(Charset)} instead.
   *
   * @since 15.0 (since 11.0 as {@code Funnels.stringFunnel()}.
   */
  public static Funnel<CharSequence> unencodedCharsFunnel() {

/*
 * Copyright (C) 2009 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License