{
    "openapi": "3.1.0",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {
            "get": {
                "summary": "Read Items",
                "operationId": "read_items_items__get",
                "responses": {
                    "200": {
                        "description": "Successful Response",

                ExceptionSummary child = handle(result);
                if (child != null) {
                    children.add(child);
                }
            }

            message = "The build could not read " + children.size() + " project" + (children.size() == 1 ? "" : "s");
        } else {
            message = getMessage(message, exception);
        }

{
    "openapi": "3.0.2",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {
            "get": {
                "summary": "Read Items",
                "operationId": "read_items_items__get",
                "responses": {
                    "200": {
                        "description": "Successful Response",

            try {
                Map<String, ?> options = Collections.singletonMap(MetadataReader.IS_STRICT, Boolean.FALSE);

                Metadata repoMetadata = metadataReader.read(metadata.getFile(), options);

                mergeMetadata(versions, repoMetadata, repository);
            } catch (IOException e) {
                invalidMetadata(session, trace, metadata, repository, e);

variables as part of those interactions (ex: using a string variable to build a
filesystem path), a maliciously created checkpoint might be able to change the
targets of those operations, which could result in arbitrary
read/write/executions.

### Running a TensorFlow server

TensorFlow is a platform for distributed computing, and as such there is a
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for

		return
	}

	if s3Error := checkRequestAuthType(ctx, r, policy.PutObjectAction, dstBucket, dstObject); s3Error != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(s3Error), r.URL)
		return
	}

	// Read escaped copy source path to check for parameters.
	cpSrcPath := r.Header.Get(xhttp.AmzCopySource)
	var vid string
	if u, err := url.Parse(cpSrcPath); err == nil {
		vid = strings.TrimSpace(u.Query().Get(xhttp.VersionID))

     *
     * @return RDMA provider name ("auto", "disni", "tcp", etc.)
     */
    String getRdmaProvider();

    /**
     * Get RDMA read/write threshold
     *
     * Operations larger than this size will use RDMA read/write
     * instead of send/receive.
     *
     * @return threshold in bytes
     */
    int getRdmaReadWriteThreshold();

    /**

        int dstIndex = 8;

        // When
        int bytesEncoded = info.encode(buffer, dstIndex);

        // Then
        assertEquals(40, bytesEncoded); // Should encode 40 bytes
        // Use SMBUtil to read times back properly
        assertEquals(TEST_CREATE_TIME, SMBUtil.readTime(buffer, dstIndex));
        assertEquals(TEST_LAST_ACCESS_TIME, SMBUtil.readTime(buffer, dstIndex + 8));

 * support them). All optional multimap methods are supported, and all returned views are
 * modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly. To allow concurrent update operations, wrap your multimap
 * with a call to {@link Multimaps#synchronizedSortedSetMultimap}.
 *
 * <p>See the Guava User Guide article on <a href=

    logging.info("Pushing branch")
    subprocess.run(["git", "push", "origin", branch_name], check=True)
    logging.info("Creating PR")
    pr = repo.create_pull(title=message, body=message, base="master", head=branch_name)
    logging.info(f"Created PR: {pr.number}")
    logging.info("Finished")


if __name__ == "__main__":