response = client.post("/items/", json=[{"age": "five"}, {"age": "six"}])
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", 0, "name"],
                "msg": "Field required",
                "input": {"age": "five"},
            },
            {

        StringBuilder sb = new StringBuilder(size);
        // first line
        sb.setLength(0);
        repeat(sb, BOX_CHAR, size);
        result.add(sb.toString());
        // lines
        for (String line : lines) {
            sb.setLength(0);
            String[] words = S_FILTER.split(line);
            for (String word : words) {

The "data" directory is for data loading like this:
/- - - - - - - - - - - - - - - - - - - -
playsql
  |-data
     |-common
     |  |-xls
     |     |-10-master.xls
     |     |-defaultValueMap.dataprop
     |-ut
        |-xls
           |-20-member.xls  
           |-30-product.xls  
           |-defaultValueMap.dataprop
- - - - - - - - - -/

The format of a xls file is like this:
/- - - - - - - - - - - - - - - - - - - -

        super.write(b);
        if (buf.isEol()) {
            String line = new String(buf.toByteArray(), 0, buf.size() - LINE_SEP.length);
            ProjectBuildLogAppender.updateMdc();
            consumer.accept(line);
            buf.reset();
        }
    }

    public void forceFlush() {
        if (buf.size() > 0) {
            String line = new String(buf.toByteArray(), 0, buf.size());

            docFile.readLines().joinToString(separator = "\n", postfix = "\n") { line ->
                if (line.startsWith(linePrefix)) {
                    lineFound = true
                    "$linePrefix ${firstVersion}${if(firstVersion == latestVersion) "" else " through $latestVersion"}."
                } else {
                    line
                }
            }
        )
        require(lineFound) {

* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.
* It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` interface.

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself....

/**
 * Appends value to the given Appendable and simple `\n` line separator after it.
 *
 * Always using the same line separator on all systems to allow for reproducible outputs.
 */
fun Appendable.appendReproducibleNewLine(value: CharSequence = ""): Appendable {
    assert('\r' !in value) {
        "Unexpected line ending in string."
    }
    return append(value).append("\n")

      )
    val response = call.execute()
    try {
      println(response.code)
      println("PROTOCOL ${response.protocol}")
      var line: String?
      while (response.body
          .source()
          .readUtf8Line()
          .also { line = it } != null
      ) {
        println(line)
      }
    } finally {
      response.body.close()
    }
    client.connectionPool.evictAll()
  }

        construct the layer with LSTM(recurrent_activation='hard_sigmoid') to
        fallback to 1.x behavior.
*   TensorFlow Lite
    *   Move from `tensorflow/contrib/lite` to `tensorflow/lite`.
    *   Add experimental Java API for injecting TensorFlow Lite delegates
    *   Add support for strings in TensorFlow Lite Java API.
*   `tf.contrib`:
    *   Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.