VersionID: vid,
			}
		}
		if !versioned {
			return opts, InvalidArgument{
				Bucket: bucket,
				Object: object,
				Err:    fmt.Errorf("VersionID specified %s, but versioning not enabled on bucket=%s", opts.VersionID, bucket),
			}
		}
	}
	opts, err = putOptsFromHeaders(ctx, hdrs, metadata)
	if err != nil {
		return opts, InvalidArgument{
			Bucket: bucket,
			Object: object,
			Err:    err,
		}

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

using tensorflow::FunctionDef;
using tensorflow::Node;
using tensorflow::NodeBuilder;
using tensorflow::Status;
using tensorflow::errors::InvalidArgument;

namespace {
typedef std::unique_ptr<TF_Function, decltype(&TF_DeleteFunction)>
    UniqueFuncPtr;
}

// struct TF_Operation { tensorflow::Node node; };
static TF_Operation* ToTF_Operation(Node* node) {

	response4, err := s.client.Do(request)
	c.Assert(err, nil)
	// Since max-keys parameter in the ListMultipart request set to invalid value of -2,
	// its expected to fail with error message "InvalidArgument".
	verifyError(c, response4, "InvalidArgument", "Part number must be an integer between 1 and 10000, inclusive", http.StatusBadRequest)
}

// TestObjectValidMD5 - First uploads an object with a valid Content-Md5 header and verifies the status,

	}

	onlineDisks := er.getDisks()
	writeQuorum := fi.WriteQuorum(er.defaultWQuorum())

	if cs := fi.Metadata[hash.MinIOMultipartChecksum]; cs != "" {
		if r.ContentCRCType().String() != cs {
			return pi, InvalidArgument{
				Bucket: bucket,
				Object: fi.Name,
				Err:    fmt.Errorf("checksum missing, want %q, got %q", cs, r.ContentCRCType().String()),
			}
		}
	}

			s3LogIf(ctx, err)
			return opts, InvalidVersionID{
				Bucket:    bucket,
				Object:    object,
				VersionID: vid,
			}
		}
		if !versioned && !versionSuspended {
			return opts, InvalidArgument{
				Bucket: bucket,
				Object: object,
				Err:    fmt.Errorf("version-id specified %s but versioning is not enabled on %s", opts.VersionID, bucket),
			}
		}
	}
	return ObjectOptions{

			dataLen:            len(bytesData),
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusBadRequest,
			wantAPICode:        "InvalidArgument",
		},
		// Test Case with invalid Content-Md5 value
		3: {
			bucketName:         bucketName,
			objectName:         objectName,
			headers:            invalidMD5Header,

            Throws `RuntimeError` from Python or `InvalidArgument` from C++
        *   `tf.compat.v1.get_seed` if the global random seed has not yet been
            set (via `tf.random.set_seed`). Throws `RuntimeError` from Python or
            `InvalidArgument` from C++

## Security

*   Fixes a code injection issue in `saved_model_cli`