Error Handling

class AuthenticationError:
    """Authentication failed or credentials invalid."""

class AuthorizationError:
    """User lacks permissions for requested operation."""

class AgreementError:
    """Dataset agreement acceptance required."""

class AgreementNotAcceptedError:
    """User has not accepted required agreements."""

class NotLoggedInAgreementError:
    """Agreement acceptance requires user login."""

class ExpiredTokenError:
    """Authentication token has expired."""

class StorageAccessDenied:
    """Access denied to storage location."""

class StorageKeyNotFound:
    """Requested storage key does not exist."""

class StorageKeyAlreadyExists:
    """Storage key already exists, cannot overwrite."""

class StorageInternalError:
    """Internal storage system error."""

class StorageNetworkConnectionError:
    """Network connection to storage failed."""

class GcsStorageProviderFailed:
    """Google Cloud Storage operation failed."""

class DatasetUnavailableError:
    """Dataset temporarily unavailable."""

class NotFoundError:
    """Requested dataset or resource not found."""

class ReadOnlyDatasetModificationError:
    """Attempted modification of read-only dataset."""

class IncorrectDeeplakePathError:
    """Invalid Deep Lake dataset path format."""

class InvalidURIError:
    """Invalid URI format provided."""

class PermissionDeniedError:
    """Insufficient permissions for operation."""

class BadRequestError:
    """Invalid request parameters or format."""

class BranchExistsError:
    """Branch with given name already exists."""

class BranchNotFoundError:
    """Requested branch does not exist."""

class CannotDeleteMainBranchError:
    """Main branch cannot be deleted."""

class CannotRenameMainBranchError:
    """Main branch cannot be renamed."""

class TagExistsError:
    """Tag with given name already exists."""

class TagNotFoundError:
    """Requested tag does not exist."""

class VersionNotFoundError:
    """Requested version does not exist."""

class PushError:
    """Error occurred during push operation."""

class ColumnAlreadyExistsError:
    """Column with given name already exists."""

class ColumnDoesNotExistError:
    """Requested column does not exist."""

class EmptyColumnNameError:
    """Column name cannot be empty."""

class ColumnMissingAppendValueError:
    """Value required for column during append operation."""

class InvalidColumnValueError:
    """Invalid value provided for column."""

class UnevenColumnsError:
    """Columns have mismatched lengths."""

class UnevenUpdateError:
    """Update data has inconsistent dimensions."""

class DimensionsMismatch:
    """Data dimensions do not match expected schema."""

class DimensionsMismatchError:
    """Dimension validation failed."""

class DtypeMismatch:
    """Data type does not match column type."""

class InvalidType:
    """Invalid or unsupported data type."""

class InvalidTypeDimensions:
    """Invalid dimensions for given type."""

class UnknownType:
    """Unknown or unrecognized data type."""

class UnspecifiedDtype:
    """Data type must be specified."""

class UnsupportedPythonType:
    """Python type not supported for conversion."""

class InvalidTypeAndFormatPair:
    """Type and format combination not supported."""

class FormatNotSupportedError:
    """Data format not supported."""

class UnknownFormat:
    """Unrecognized data format."""

class InvalidImageCompression:
    """Invalid compression settings for image data."""

class InvalidBinaryMaskCompression:
    """Invalid compression for binary mask data."""

class InvalidSegmentMaskCompression:
    """Invalid compression for segmentation mask data."""

class InvalidMedicalCompression:
    """Invalid compression for medical imaging data."""

class UnsupportedChunkCompression:
    """Chunk compression type not supported."""

class UnsupportedSampleCompression:
    """Sample compression type not supported."""

class WrongChunkCompression:
    """Incorrect chunk compression applied."""

class WrongSampleCompression:
    """Incorrect sample compression applied."""

class IndexAlreadyExistsError:
    """Index with given configuration already exists."""

class InvalidIndexCreationError:
    """Index creation parameters invalid."""

class JSONIndexNotFound:
    """JSON index not found for query."""

class JSONKeyNotFound:
    """Requested JSON key not found."""

class InvalidLinkDataError:
    """Linked data validation failed."""

class InvalidLinkType:
    """Invalid link type specified."""

class InvalidSequenceOfSequence:
    """Invalid nested sequence structure."""

class InvalidPolygonShapeError:
    """Polygon data has invalid shape."""

class UnexpectedInputDataForDicomColumn:
    """DICOM column received unexpected data type."""

class UnexpectedMedicalTypeInputData:
    """Medical imaging data validation failed."""

class UnknownBoundingBoxCoordinateFormat:
    """Bounding box coordinate format not recognized."""

class UnknownBoundingBoxPixelFormat:
    """Bounding box pixel format not recognized."""

class UnknownStringType:
    """String type specification not recognized."""

class InvalidTextType:
    """Text data type validation failed."""

class TensorAlreadyExists:
    """Tensor with given name already exists."""

class BytePositionIndexOutOfChunk:
    """Byte position index exceeds chunk boundaries."""

class ShapeIndexOutOfChunk:
    """Shape index exceeds chunk boundaries."""

class CanNotCreateTensorWithProvidedCompressions:
    """Cannot create tensor with specified compression settings."""

class HTTPRequestFailedError:
    """HTTP request failed with error response."""

class HTTPBodyIsMissingError:
    """Required HTTP body is missing."""

class HTTPBodyIsNotJSONError:
    """HTTP body is not valid JSON format."""

class CredsKeyAlreadyAssignedError:
    """Credentials key already assigned to dataset."""

class InvalidCredsKeyAssignmentError:
    """Invalid credentials key assignment."""

class EmbeddingSizeMismatch:
    """Embedding vector size does not match expected dimensions."""

class InvalidChunkStrategyType:
    """Invalid chunk strategy specified."""

class WriteFailedError:
    """Data write operation failed."""

class LogExistsError:
    """Log file already exists."""

class LogNotexistsError:
    """Required log file does not exist."""

import deeplake

try:
    dataset = deeplake.open("./nonexistent_dataset")
except deeplake.NotFoundError:
    print("Dataset not found, creating new one...")
    dataset = deeplake.create("./new_dataset")

try:
    dataset.add_column("images", deeplake.types.Image())
except deeplake.ColumnAlreadyExistsError:
    print("Column 'images' already exists")

try:
    dataset = deeplake.create(
        "s3://my-bucket/dataset",
        creds={"aws_access_key_id": "invalid", "aws_secret_access_key": "invalid"}
    )
except deeplake.AuthenticationError:
    print("AWS credentials are invalid")
except deeplake.StorageAccessDenied:
    print("Access denied to S3 bucket")
except deeplake.StorageNetworkConnectionError:
    print("Network connection to S3 failed")

try:
    branch = dataset.branch("feature-branch")
except deeplake.BranchExistsError:
    print("Branch already exists, switching to it...")
    branch = dataset.branches["feature-branch"]

try:
    dataset.tag("v1.0", "Release version 1.0")
except deeplake.TagExistsError:
    print("Tag v1.0 already exists")

try:
    dataset.append({
        "images": "invalid_image_path.txt",  # Wrong file type
        "embeddings": [1, 2, 3]  # Wrong dimensions
    })
except deeplake.FormatNotSupportedError:
    print("Image format not supported")
except deeplake.DimensionsMismatch:
    print("Embedding dimensions don't match schema")
except deeplake.InvalidColumnValueError as e:
    print(f"Invalid column value: {e}")

def safe_dataset_operation(url, operation_func):
    """Safely execute dataset operations with comprehensive error handling."""
    try:
        return operation_func(url)
    except deeplake.NotFoundError:
        print(f"Dataset not found: {url}")
    except deeplake.AuthenticationError:
        print("Authentication failed - check your token")
    except deeplake.AuthorizationError:
        print("Access denied - insufficient permissions")
    except deeplake.StorageNetworkConnectionError:
        print("Network connection failed - check connectivity")
    except deeplake.ReadOnlyDatasetModificationError:
        print("Cannot modify read-only dataset")
    except deeplake.DatasetUnavailableError:
        print("Dataset temporarily unavailable - try again later")
    except Exception as e:
        print(f"Unexpected error: {type(e).__name__}: {e}")
        raise

# Usage
safe_dataset_operation("./my_dataset", lambda url: deeplake.open(url))

try:
    results = deeplake.query("SELECT * FROM invalid_dataset WHERE column = 'value'")
except deeplake.NotFoundError:
    print("Referenced dataset not found in query")
except deeplake.JSONKeyNotFound:
    print("Query references non-existent column")
except deeplake.BadRequestError:
    print("Invalid query syntax")

import time
import random

def retry_with_backoff(func, max_retries=3, base_delay=1):
    """Retry function with exponential backoff for transient errors."""
    for attempt in range(max_retries):
        try:
            return func()
        except (deeplake.StorageNetworkConnectionError, 
                deeplake.DatasetUnavailableError,
                deeplake.StorageInternalError) as e:
            if attempt == max_retries - 1:
                raise
            delay = base_delay * (2 ** attempt) + random.uniform(0, 1)
            print(f"Transient error {type(e).__name__}, retrying in {delay:.2f}s...")
            time.sleep(delay)

# Usage
dataset = retry_with_backoff(lambda: deeplake.open("s3://my-bucket/dataset"))

def open_dataset_with_fallback(primary_url, fallback_url):
    """Open dataset with fallback location."""
    try:
        return deeplake.open(primary_url)
    except (deeplake.NotFoundError, deeplake.StorageAccessDenied):
        print(f"Primary dataset unavailable, using fallback: {fallback_url}")
        return deeplake.open(fallback_url)

dataset = open_dataset_with_fallback(
    "s3://primary-bucket/dataset",
    "./local_backup/dataset"
)