/** Property key for SMB1 file creation time. */
    public static final String SMB_CREATE_TIME = "smb1CreateTime";

    /** Property key for SMB1 owner attributes. */
    public static final String SMB_OWNER_ATTRIBUTES = "smb1OwnerAttributes";

    static {
        if (Config.getInt("jcifs.smb1.util.loglevel", -1) == -1) {
            if (logger.isTraceEnabled()) {

ntDefault(),e.onTabClick(t.target),e.switchTab(t.target)})),n.default(document).on("click",'[data-widget="iframe-close"]',(function(t){t.preventDefault();var a=t.target;"I"==a.nodeName&&(a=t.target.offsetParent),e.removeActiveTab(a.attributes["data-type"]?a.attributes["data-type"].nodeValue:null,a)})),n.default(document).on("click",ce,(function(t){t.preventDefault(),e.toggleFullscreen()}));var t=!1,a=null;n.default(document).on("mousedown",'[data-widget="iframe-scrollleft"]',(function(n){n.preve...

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

ncludes(elementName)) {\n      element.remove()\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------...

		// GetObjectAttributes
		router.Methods(http.MethodGet).Path("/{object:.+}").
			HandlerFunc(s3APIMiddleware(api.GetObjectAttributesHandler, traceHdrsS3HFlag)).
			Queries("attributes", "")

		// CopyObjectPart
		router.Methods(http.MethodPut).Path("/{object:.+}").
			HeadersRegexp(xhttp.AmzCopySource, ".*?(\\/|%2F).*?").
			HandlerFunc(s3APIMiddleware(api.CopyObjectPartHandler)).

* For `PUT` requests to `/items/{item_id}`, read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.

* For `PUT` requests to `/items/{item_id}`, read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.

  EXPECT_EQ(string("Invalid FunctionDef given to TF_FunctionImportFunctionDef"),
            string(TF_Message(s_)));
}

TEST_F(CApiFunctionTest, Attribute) {
  DefineFunction(func_name_, &func_);

  // Get non existent attribute
  TF_Buffer* attr_buf = TF_NewBuffer();
  TF_FunctionGetAttrValueProto(func_, "foo_attr", attr_buf, s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));

    protected int smbListSize = 65435;
    /** Maximum number of entries to return in list operations */
    protected int smbListCount = 200;
    /** Time in milliseconds before cached file attributes expire */
    protected long smbAttributeExpiration = 5000L;
    /** Whether to ignore exceptions during file copy operations */
    protected boolean ignoreCopyToException = false;

# https://github.com/tensorflow/tensorflow/blob/cd67f4f3723f9165aabedd0171aaadc6290636e5/tensorflow/tensorflow.bzl#L396-L425
# And is usable in the "deps" attribute instead of the "srcs" attribute
# as a workaround for https://github.com/tensorflow/tensorflow/issues/34117
cc_import(
    name = "libtensorflow_framework_import_lib",
    shared_library = select({