color: transparent; // Why?\n    cursor: $custom-range-track-cursor;\n    background-color: $custom-range-track-bg;\n    border-color: transparent;\n    @include border-radius($custom-range-track-border-radius);\n    @include box-shadow($custom-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $custom-range-thumb-width;\n    height: $custom-range-thumb-height;\n    @include gradient-bg($custom-range-thumb-bg);\n    border: $custom-range-thumb-border;\n    @include border-radius($cu...

    // If we add an "Accept-Encoding: gzip" header field we're responsible for also decompressing
    // the transfer stream.
    var transparentGzip = false
    if (userRequest.header("Accept-Encoding") == null && userRequest.header("Range") == null) {
      transparentGzip = true
      requestBuilder.header("Accept-Encoding", "gzip")
    }

    val cookies = cookieJar.loadForRequest(userRequest.url)
    if (cookies.isNotEmpty()) {

| Maximum number of parts per upload                                              | 10,000                                                                          |
| Part size range                                                                 | 5 MiB to 5 TiB. Last part can be 0 B to 5 TiB                                   |

| `minio_cluster_usage_objects_size_distribution`          | `gauge` | Cluster object size distribution                               | `range` |
| `minio_cluster_usage_objects_version_count_distribution` | `gauge` | Cluster object version count distribution                      | `range` |

### `/cluster/usage/buckets` 

* etc.

In these cases, you would normally return an **HTTP status code** in the range of **400** (from 400 to 499).

This is similar to the 200 HTTP status codes (from 200 to 299). Those "200" status codes mean that somehow there was a "success" in the request.

The status codes in the 400 range mean that there was an error from the client.

Remember all those **"404 Not Found"** errors (and jokes)?

{{- if .Values.tls.enabled }}
scheme=https
{{- else }}
scheme=http
{{- end }}
connectToMinio $scheme

{{ if .Values.buckets }}
{{ $global := . }}
# Create the buckets
{{- range .Values.buckets }}
createBucket {{ tpl .name $global }} {{ .policy | default "none" | quote }} {{ .purge | default false }} {{ .versioning | default false }} {{ .objectlocking | default false }}
{{- end }}

  }

  @Test
  fun clientCloseWith0Fails() {
    assertFailsWith<IllegalArgumentException> {
      client.webSocket!!.close(0, null)
    }.also { expected ->
      assertThat("Code must be in range [1000,5000): 0")
        .isEqualTo(expected.message)
    }
  }

  @Test
  fun afterSocketClosedPingFailsWebSocket() {
    client2Server.source.close()
    client.webSocket!!.pong("Ping!".encodeUtf8())

to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate

 * All comments are ignored.
 *
 * Regular lines contain fields separated by semicolons.
 *
 * The first element on each line is a single hex code point (like 0041) or a hex code point range
 * (like 0030..0039).
 *
 * The second element on each line is a mapping type, like `valid` or `mapped`.
 *
 * For lines that contain a mapping target, the next thing is a sequence of hex code points (like

    assertFailsWith<IllegalArgumentException> {
      clientWriter.writeClose(98724976, "Hello".encodeUtf8())
    }.also { expected ->
      assertThat(expected.message).isEqualTo("Code must be in range [1000,5000): 98724976")
    }
  }

  @Test fun closeReservedThrows() {
    assertFailsWith<IllegalArgumentException> {
      clientWriter.writeClose(1005, "Hello".encodeUtf8())
    }.also { expected ->