@SuppressWarnings("resource")
        final CsvReader csvReader = new CsvReader(reader, cfg);
        try {
            List<String> list;
            csvReader.readValues(); // ignore header
            while ((list = csvReader.readValues()) != null) {
                final String suggestWord = getValue(list, 0);
                if (StringUtil.isBlank(suggestWord)) {
                    // skip

# ========================================================================================
# Framework Default
# =================
# ----------------------------------------------------------
# Lasta Taglib
# ------------
errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator

        final int avPairsLength = avPairs != null ? avPairs.length : 0;
        final byte[] temp = new byte[28 + avPairsLength + 4];

        Encdec.enc_uint32le(0x00000101, temp, 0); // Header
        Encdec.enc_uint32le(0x00000000, temp, 4); // Reserved
        Encdec.enc_uint64le(nanos1601, temp, 8);
        System.arraycopy(clientChallenge, 0, temp, 16, 8);

				// Create path to store objects within the bucket.
				Key:       entry.Name,
				Size:      entry.Size,
				ModTime:   entry.ModTime,
				VersionID: entry.VersionID,
				Content:   gr,
				Headers:   make(http.Header),
				Close: func() {
					gr.Close()
				},
			}

			opts, _, err := batchReplicationOpts(ctx, "", gr.ObjInfo)
			if err != nil {
				batchLogIf(ctx, err)
				continue
			}

lor","cols","colspan","controls","controlslist","coords","crossorigin","datetime","decoding","default","dir","disabled","disablepictureinpicture","disableremoteplayback","download","draggable","enctype","enterkeyhint","exportparts","face","for","headers","height","hidden","high","href","hreflang","id","inert","inputmode","integrity","ismap","kind","label","lang","list","loading","loop","low","max","maxlength","media","method","min","minlength","multiple","muted","name","nonce","noshade","novalid...

		}
		fi.Checksum = checksum.AppendTo(nil, checksumCombined)
		if opts.EncryptFn != nil {
			fi.Checksum = opts.EncryptFn("object-checksum", fi.Checksum)
		}
	}
	// Remove superfluous internal headers.
	delete(fi.Metadata, hash.MinIOMultipartChecksum)
	delete(fi.Metadata, hash.MinIOMultipartChecksumType)

	// Save the final object size and modtime.
	fi.Size = objectSize
	fi.ModTime = opts.MTime

# ========================================================================================
# Framework Default
# =================
# ----------------------------------------------------------
# Lasta Taglib
# ------------
errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator

# ========================================================================================
# Framework Default
# =================
# ----------------------------------------------------------
# Lasta Taglib
# ------------
errors.header = <ul class="has-error">
errors.footer = </ul>
errors.prefix = <li><i class="fa fa-exclamation-circle"></i>
errors.suffix = </li>
# ----------------------------------------------------------
# Javax Validator

            byte[] buffer = new byte[100];

            // Act
            int encodedSize = context.encode(buffer, 0);

            // Assert
            assertEquals(4, encodedSize); // Only header size
            assertEquals(0, buffer[0]); // hash algo count
            assertEquals(0, buffer[1]);
            assertEquals(0, buffer[2]); // salt length
            assertEquals(0, buffer[3]);
        }

        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core/config:flag_defs",
        "//tensorflow/core/config:flags",
    ],
)

filegroup(
    name = "headers",
    srcs = [
        "c_api.h",
        "c_api_experimental.h",
        "dlpack.h",
    ],
    visibility = ["//tensorflow:__subpackages__"],
)

filegroup(