code: def Respond(
      request,
      content,
      content_type,
      code=200,
      expires=0,
      content_encoding=None,
      encoding="utf-8",
      csp_scripts_sha256s=None,
      headers=None,
  ):
      """Construct a werkzeug Response.
  
      Responses are transmitted to the browser with compression if: a) the browser
      supports it; b) it's sane to compress the content_type in question; and c)
      the content isn't already compressed, as indicated by the content_encoding
      parameter.
  
      Browser and proxy caching is completely disabled by default. If the expires
      parameter is greater than zero then the response will be able to be cached by
      the browser for that many seconds; however, proxies are still forbidden from
      caching so that developers can bypass the cache with Ctrl+Shift+R.
  
      For textual content that isn't JSON, the encoding parameter is used as the
      transmission charset which is automatically appended to the Content-Type
      header. That is unless of course the content_type parameter contains a
      charset parameter. If the two disagree, the characters in content will be
      transcoded to the latter.
  
      If content_type declares a JSON media type, then content MAY be a dict, list,
      tuple, or set, in which case this function has an implicit composition with
      json_util.Cleanse and json.dumps. The encoding parameter is used to decode
      byte strings within the JSON object; therefore transmitting binary data
      within JSON is not permitted. JSON is transmitted as ASCII unless the
      content_type parameter explicitly defines a charset parameter, in which case
      the serialized JSON bytes will use that instead of escape sequences.
  
      Args:
        request: A werkzeug Request object. Used mostly to check the
          Accept-Encoding header.
        content: Payload data as byte string, unicode string, or maybe JSON.
        content_type: Media type and optionally an output charset.
        code: Numeric HTTP status code to use.
        expires: Second duration for browser caching.
        content_encoding: Encoding if content is already encoded, e.g. 'gzip'.
        encoding: Input charset if content parameter has byte strings.
        csp_scripts_sha256s: List of base64 serialized sha256 of whitelisted script
          elements for script-src of the Content-Security-Policy. If it is None, the
          HTML will disallow any script to execute. It is only be used when the
          content_type is text/html.
        headers: Any additional headers to include on the response, as a
          list of key-value tuples: e.g., `[("Allow", "GET")]`. In case of
          conflict, these may be overridden with headers added by this function.
  
      Returns:
        A werkzeug Response object (a WSGI application).
      """
  
      mimetype = _EXTRACT_MIMETYPE_PATTERN.search(content_type).group(0)
      charset_match = _EXTRACT_CHARSET_PATTERN.search(content_type)
      charset = charset_match.group(1) if charset_match else encoding
      textual = charset_match or mimetype in _TEXTUAL_MIMETYPES
      if mimetype in _JSON_MIMETYPES and isinstance(
          content, (dict, list, set, tuple)
      ):
          content = json.dumps(
              json_util.Cleanse(content, encoding),
              ensure_ascii=not charset_match,
          )
  
      # Ensure correct output encoding, transcoding if necessary.
      if charset != encoding and isinstance(content, bytes):
          content = content.decode(encoding)
      if isinstance(content, str):
          content = content.encode(charset)
  
      if (
          textual
          and not charset_match
          and mimetype not in _JSON_MIMETYPES
      ):
          content_type += "; charset=" + charset
      gzip_accepted = _ALLOWS_GZIP_PATTERN.search(
          request.headers.get("Accept-Encoding", "")
      )
      # Automatically gzip uncompressed text data if accepted.
      if textual and not content_encoding and gzip_accepted:
          out = io.BytesIO()
          # Set mtime to zero to make payload for a given input deterministic.
          with gzip.GzipFile(
              fileobj=out, mode="wb", compresslevel=3, mtime=0
          ) as f:
              f.write(content)
          content = out.getvalue()
          content_encoding = "gzip"
  
      content_length = len(content)
      direct_passthrough = False
      # Automatically streamwise-gunzip precompressed data if not accepted.
      if content_encoding == "gzip" and not gzip_accepted:
          gzip_file = gzip.GzipFile(
              fileobj=io.BytesIO(content), mode="rb"
          )
          # Last 4 bytes of gzip formatted data (little-endian) store the original
          # content length mod 2^32; we just assume it's the content length. That
          # means we can't streamwise-gunzip >4 GB precompressed file; this is ok.
          content_length = struct.unpack("<I", content[-4:])[0]
          content = werkzeug.wsgi.wrap_file(request.environ, gzip_file)
          content_encoding = None
          direct_passthrough = True
  
      headers = list(headers or [])
      headers.append(("Content-Length", str(content_length)))
      headers.append(("X-Content-Type-Options", "nosniff"))
      if content_encoding:
          headers.append(("Content-Encoding", content_encoding))
      if expires > 0:
          e = wsgiref.handlers.format_date_time(
              time.time() + float(expires)
          )
          headers.append(("Expires", e))
          headers.append(
              ("Cache-Control", "private, max-age=%d" % expires)
          )
      else:
          headers.append(("Expires", "0"))
          headers.append(("Cache-Control", "no-cache, must-revalidate"))
      if mimetype == _HTML_MIMETYPE:
          frags = (
              _CSP_SCRIPT_DOMAINS_WHITELIST
              + [
                  "'self'" if _CSP_SCRIPT_SELF else "",
                  "'unsafe-eval'" if _CSP_SCRIPT_UNSAFE_EVAL else "",
              ]
              + [
                  "'sha256-{}'".format(sha256)
                  for sha256 in (csp_scripts_sha256s or [])
              ]
          )
          script_srcs = _create_csp_string(*frags)
  
          csp_string = ";".join(
              [
                  "default-src 'self'",
                  "font-src %s"
                  % _create_csp_string(
                      "'self'", *_CSP_FONT_DOMAINS_WHITELIST
                  ),
                  # Dynamic plugins are rendered inside an iframe.
                  "frame-src %s"
                  % _create_csp_string(
                      "'self'", *_CSP_FRAME_DOMAINS_WHITELIST
                  ),
                  "img-src %s"
                  % _create_csp_string(
                      "'self'",
                      # used by favicon
                      "data:",
                      # used by What-If tool for image sprites.
                      "blob:",
                      *_CSP_IMG_DOMAINS_WHITELIST,
                  ),
                  "object-src 'none'",
                  "style-src %s"
                  % _create_csp_string(
                      "'self'",
                      # used by google-chart
                      "https://www.gstatic.com",
                      "data:",
                      # inline styles: Polymer templates + d3 uses inline styles.
                      "'unsafe-inline'",
                      *_CSP_STYLE_DOMAINS_WHITELIST,
                  ),
                  "connect-src %s"
                  % _create_csp_string(
                      "'self'", *_CSP_CONNECT_DOMAINS_WHITELIST
                  ),
                  "script-src %s" % script_srcs,
              ]
          )
  
          headers.append(("Content-Security-Policy", csp_string))
  
      if request.method == "HEAD":
          content = None
  
      return werkzeug.wrappers.Response(
          response=content,
          status=code,
          headers=headers,
          content_type=content_type,
          direct_passthrough=direct_passthrough,
      )
  
file_path: tensorboard/tensorboard/backend/http_util.py
imports: import gzip
  import io
  import json
  import re
  import struct
  import time
  import wsgiref.handlers
  import werkzeug
  from tensorboard.backend import json_util
label_desc: Use image node_id 1 for calling a global function with example usage: Respond(request, content, content_type, code, expires, content_encoding, encoding, csp_scripts_sha256s, headers) and returns: werkzeug