text:
# This file is auto-generated by AWSMetadata.jl
using AWS
using AWS.AWSServices: efs
using AWS.Compat
using AWS.UUIDs

"""
    create_access_point(client_token, file_system_id)
    create_access_point(client_token, file_system_id, params::Dict{String,<:Any})

Creates an EFS access point. An access point is an application-specific view into an EFS
file system that applies an operating system user and group, and a file system path, to any
file system request made through the access point. The operating system user and group
override any identity information provided by the NFS client. The file system path is
exposed as the access point's root directory. Applications using the access point can only
access data in its own directory and below. To learn more, see Mounting a file system using
EFS access points. This operation requires permissions for the
elasticfilesystem:CreateAccessPoint action.

# Arguments
- `client_token`: A string of up to 64 ASCII characters that Amazon EFS uses to ensure
  idempotent creation.
- `file_system_id`: The ID of the EFS file system that the access point provides access to.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"PosixUser"`: The operating system user and group applied to all file system requests
  made using the access point.
- `"RootDirectory"`: Specifies the directory on the Amazon EFS file system that the access
  point exposes as the root directory of your file system to NFS clients using the access
  point. The clients using the access point can only access the root directory and below. If
  the RootDirectory > Path specified does not exist, EFS creates it and applies the
  CreationInfo settings when a client connects to an access point. When specifying a
  RootDirectory, you need to provide the Path, and the CreationInfo. Amazon EFS creates a
  root directory only if you have provided the CreationInfo: OwnUid, OwnGID, and permissions
  for the directory. If you do not provide this information, Amazon EFS does not create the
  root directory. If the root directory does not exist, attempts to mount using the access
  point will fail.
- `"Tags"`: Creates tags associated with the access point. Each tag is a key-value pair,
  each key must be unique. For more information, see Tagging Amazon Web Services resources in
  the Amazon Web Services General Reference Guide.
"""
function create_access_point(
    ClientToken, FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "POST",
        "/2015-02-01/access-points",
        Dict{String,Any}("ClientToken" => ClientToken, "FileSystemId" => FileSystemId);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function create_access_point(
    ClientToken,
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/access-points",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}(
                    "ClientToken" => ClientToken, "FileSystemId" => FileSystemId
                ),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    create_file_system(creation_token)
    create_file_system(creation_token, params::Dict{String,<:Any})

Creates a new, empty file system. The operation requires a creation token in the request
that Amazon EFS uses to ensure idempotent creation (calling the operation with same
creation token has no effect). If a file system does not currently exist that is owned by
the caller's Amazon Web Services account with the specified creation token, this operation
does the following:   Creates a new, empty file system. The file system will have an Amazon
EFS assigned ID, and an initial lifecycle state creating.   Returns with the description of
the created file system.   Otherwise, this operation returns a FileSystemAlreadyExists
error with the ID of the existing file system.  For basic use cases, you can use a randomly
generated UUID for the creation token.   The idempotent operation allows you to retry a
CreateFileSystem call without risk of creating an extra file system. This can happen when
an initial call fails in a way that leaves it uncertain whether or not a file system was
actually created. An example might be that a transport level timeout occurred or your
connection was reset. As long as you use the same creation token, if the initial call had
succeeded in creating a file system, the client can learn of its existence from the
FileSystemAlreadyExists error. For more information, see Creating a file system in the
Amazon EFS User Guide.  The CreateFileSystem call returns while the file system's lifecycle
state is still creating. You can check the file system creation status by calling the
DescribeFileSystems operation, which among other things returns the file system state.
This operation accepts an optional PerformanceMode parameter that you choose for your file
system. We recommend generalPurpose performance mode for most file systems. File systems
using the maxIO performance mode can scale to higher levels of aggregate throughput and
operations per second with a tradeoff of slightly higher latencies for most file
operations. The performance mode can't be changed after the file system has been created.
For more information, see Amazon EFS performance modes. You can set the throughput mode for
the file system using the ThroughputMode parameter. After the file system is fully created,
Amazon EFS sets its lifecycle state to available, at which point you can create one or more
mount targets for the file system in your VPC. For more information, see CreateMountTarget.
You mount your Amazon EFS file system on an EC2 instances in your VPC by using the mount
target. For more information, see Amazon EFS: How it Works.   This operation requires
permissions for the elasticfilesystem:CreateFileSystem action.

# Arguments
- `creation_token`: A string of up to 64 ASCII characters. Amazon EFS uses this to ensure
  idempotent creation.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"AvailabilityZoneName"`: Used to create a file system that uses One Zone storage
  classes. It specifies the Amazon Web Services Availability Zone in which to create the file
  system. Use the format us-east-1a to specify the Availability Zone. For more information
  about One Zone storage classes, see Using EFS storage classes in the Amazon EFS User Guide.
   One Zone storage classes are not available in all Availability Zones in Amazon Web
  Services Regions where Amazon EFS is available.
- `"Backup"`: Specifies whether automatic backups are enabled on the file system that you
  are creating. Set the value to true to enable automatic backups. If you are creating a file
  system that uses One Zone storage classes, automatic backups are enabled by default. For
  more information, see Automatic backups in the Amazon EFS User Guide. Default is false.
  However, if you specify an AvailabilityZoneName, the default is true.  Backup is not
  available in all Amazon Web Services Regionswhere Amazon EFS is available.
- `"Encrypted"`: A Boolean value that, if true, creates an encrypted file system. When
  creating an encrypted file system, you have the option of specifying
  CreateFileSystemRequestKmsKeyId for an existing Key Management Service (KMS customer master
  key (CMK). If you don't specify a CMK, then the default CMK for Amazon EFS,
  /aws/elasticfilesystem, is used to protect the encrypted file system.
- `"KmsKeyId"`: The ID of the KMS CMK that you want to use to protect the encrypted file
  system. This parameter is only required if you want to use a non-default KMS key. If this
  parameter is not specified, the default CMK for Amazon EFS is used. This ID can be in one
  of the following formats:   Key ID - A unique identifier of the key, for example
  1234abcd-12ab-34cd-56ef-1234567890ab.   ARN - An Amazon Resource Name (ARN) for the key,
  for example arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab.
  Key alias - A previously created display name for a key, for example alias/projectKey1.
  Key alias ARN - An ARN for a key alias, for example
  arn:aws:kms:us-west-2:444455556666:alias/projectKey1.   If KmsKeyId is specified, the
  CreateFileSystemRequestEncrypted parameter must be set to true.  EFS accepts only symmetric
  KMS keys. You cannot use asymmetric KMS keys with EFS file systems.
- `"PerformanceMode"`: The performance mode of the file system. We recommend generalPurpose
  performance mode for most file systems. File systems using the maxIO performance mode can
  scale to higher levels of aggregate throughput and operations per second with a tradeoff of
  slightly higher latencies for most file operations. The performance mode can't be changed
  after the file system has been created.  The maxIO mode is not supported on file systems
  using One Zone storage classes.
- `"ProvisionedThroughputInMibps"`: The throughput, measured in MiB/s, that you want to
  provision for a file system that you're creating. Valid values are 1-1024. Required if
  ThroughputMode is set to provisioned. The upper limit for throughput is 1024 MiB/s. To
  increase this limit, contact Amazon Web Services Support. For more information, see Amazon
  EFS quotas that you can increase in the Amazon EFS User Guide.
- `"Tags"`: Use to create one or more tags associated with the file system. Each tag is a
  user-defined key-value pair. Name your file system on creation by including a
  \"Key\":\"Name\",\"Value\":\"{value}\" key-value pair. Each key must be unique. For more
  information, see Tagging Amazon Web Services resources in the Amazon Web Services General
  Reference Guide.
- `"ThroughputMode"`: Specifies the throughput mode for the file system, either bursting or
  provisioned. If you set ThroughputMode to provisioned, you must also set a value for
  ProvisionedThroughputInMibps. After you create the file system, you can decrease your file
  system's throughput in Provisioned Throughput mode or change between the throughput modes,
  as long as it’s been more than 24 hours since the last decrease or throughput mode
  change. For more information, see Specifying throughput with provisioned mode in the Amazon
  EFS User Guide.  Default is bursting.
"""
function create_file_system(
    CreationToken; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "POST",
        "/2015-02-01/file-systems",
        Dict{String,Any}("CreationToken" => CreationToken);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function create_file_system(
    CreationToken,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/file-systems",
        Dict{String,Any}(
            mergewith(_merge, Dict{String,Any}("CreationToken" => CreationToken), params)
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    create_mount_target(file_system_id, subnet_id)
    create_mount_target(file_system_id, subnet_id, params::Dict{String,<:Any})

Creates a mount target for a file system. You can then mount the file system on EC2
instances by using the mount target. You can create one mount target in each Availability
Zone in your VPC. All EC2 instances in a VPC within a given Availability Zone share a
single mount target for a given file system. If you have multiple subnets in an
Availability Zone, you create a mount target in one of the subnets. EC2 instances do not
need to be in the same subnet as the mount target in order to access their file system. You
can create only one mount target for an EFS file system using One Zone storage classes. You
must create that mount target in the same Availability Zone in which the file system is
located. Use the AvailabilityZoneName and AvailabiltyZoneId properties in the
DescribeFileSystems response object to get this information. Use the subnetId associated
with the file system's Availability Zone when creating the mount target. For more
information, see Amazon EFS: How it Works.  To create a mount target for a file system, the
file system's lifecycle state must be available. For more information, see
DescribeFileSystems. In the request, provide the following:   The file system ID for which
you are creating the mount target.   A subnet ID, which determines the following:   The VPC
in which Amazon EFS creates the mount target   The Availability Zone in which Amazon EFS
creates the mount target   The IP address range from which Amazon EFS selects the IP
address of the mount target (if you don't specify an IP address in the request)     After
creating the mount target, Amazon EFS returns a response that includes, a MountTargetId and
an IpAddress. You use this IP address when mounting the file system in an EC2 instance. You
can also use the mount target's DNS name when mounting the file system. The EC2 instance on
which you mount the file system by using the mount target can resolve the mount target's
DNS name to its IP address. For more information, see How it Works: Implementation
Overview.  Note that you can create mount targets for a file system in only one VPC, and
there can be only one mount target per Availability Zone. That is, if the file system
already has one or more mount targets created for it, the subnet specified in the request
to add another mount target must meet the following requirements:   Must belong to the same
VPC as the subnets of the existing mount targets   Must not be in the same Availability
Zone as any of the subnets of the existing mount targets   If the request satisfies the
requirements, Amazon EFS does the following:   Creates a new mount target in the specified
subnet.   Also creates a new network interface in the subnet as follows:   If the request
provides an IpAddress, Amazon EFS assigns that IP address to the network interface.
Otherwise, Amazon EFS assigns a free address in the subnet (in the same way that the Amazon
EC2 CreateNetworkInterface call does when a request does not specify a primary private IP
address).   If the request provides SecurityGroups, this network interface is associated
with those security groups. Otherwise, it belongs to the default security group for the
subnet's VPC.   Assigns the description Mount target fsmt-id for file system fs-id  where
fsmt-id  is the mount target ID, and  fs-id  is the FileSystemId.   Sets the
requesterManaged property of the network interface to true, and the requesterId value to
EFS.   Each Amazon EFS mount target has one corresponding requester-managed EC2 network
interface. After the network interface is created, Amazon EFS sets the NetworkInterfaceId
field in the mount target's description to the network interface ID, and the IpAddress
field to its address. If network interface creation fails, the entire CreateMountTarget
operation fails.    The CreateMountTarget call returns only after creating the network
interface, but while the mount target state is still creating, you can check the mount
target creation status by calling the DescribeMountTargets operation, which among other
things returns the mount target state.  We recommend that you create a mount target in each
of the Availability Zones. There are cost considerations for using a file system in an
Availability Zone through a mount target created in another Availability Zone. For more
information, see Amazon EFS. In addition, by always using a mount target local to the
instance's Availability Zone, you eliminate a partial failure scenario. If the Availability
Zone in which your mount target is created goes down, then you can't access your file
system through that mount target.  This operation requires permissions for the following
action on the file system:    elasticfilesystem:CreateMountTarget    This operation also
requires permissions for the following Amazon EC2 actions:    ec2:DescribeSubnets
ec2:DescribeNetworkInterfaces     ec2:CreateNetworkInterface

# Arguments
- `file_system_id`: The ID of the file system for which to create the mount target.
- `subnet_id`: The ID of the subnet to add the mount target in. For file systems that use
  One Zone storage classes, use the subnet that is associated with the file system's
  Availability Zone.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"IpAddress"`: Valid IPv4 address within the address range of the specified subnet.
- `"SecurityGroups"`: Up to five VPC security group IDs, of the form sg-xxxxxxxx. These
  must be for the same VPC as subnet specified.
"""
function create_mount_target(
    FileSystemId, SubnetId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "POST",
        "/2015-02-01/mount-targets",
        Dict{String,Any}("FileSystemId" => FileSystemId, "SubnetId" => SubnetId);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function create_mount_target(
    FileSystemId,
    SubnetId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/mount-targets",
        Dict{String,Any}(
            mergewith(
                _merge,
                Dict{String,Any}("FileSystemId" => FileSystemId, "SubnetId" => SubnetId),
                params,
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    create_tags(file_system_id, tags)
    create_tags(file_system_id, tags, params::Dict{String,<:Any})

 DEPRECATED - CreateTags is deprecated and not maintained. Please use the API action to
create tags for EFS resources.  Creates or overwrites tags associated with a file system.
Each tag is a key-value pair. If a tag key specified in the request already exists on the
file system, this operation overwrites its value with the value provided in the request. If
you add the Name tag to your file system, Amazon EFS returns it in the response to the
DescribeFileSystems operation.  This operation requires permission for the
elasticfilesystem:CreateTags action.

# Arguments
- `file_system_id`: The ID of the file system whose tags you want to modify (String). This
  operation modifies the tags only, not the file system.
- `tags`: An array of Tag objects to add. Each Tag object is a key-value pair.

"""
function create_tags(FileSystemId, Tags; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "POST",
        "/2015-02-01/create-tags/$(FileSystemId)",
        Dict{String,Any}("Tags" => Tags);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function create_tags(
    FileSystemId,
    Tags,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/create-tags/$(FileSystemId)",
        Dict{String,Any}(mergewith(_merge, Dict{String,Any}("Tags" => Tags), params));
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_access_point(access_point_id)
    delete_access_point(access_point_id, params::Dict{String,<:Any})

Deletes the specified access point. After deletion is complete, new clients can no longer
connect to the access points. Clients connected to the access point at the time of deletion
will continue to function until they terminate their connection. This operation requires
permissions for the elasticfilesystem:DeleteAccessPoint action.

# Arguments
- `access_point_id`: The ID of the access point that you want to delete.

"""
function delete_access_point(
    AccessPointId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "DELETE",
        "/2015-02-01/access-points/$(AccessPointId)";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_access_point(
    AccessPointId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "DELETE",
        "/2015-02-01/access-points/$(AccessPointId)",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_file_system(file_system_id)
    delete_file_system(file_system_id, params::Dict{String,<:Any})

Deletes a file system, permanently severing access to its contents. Upon return, the file
system no longer exists and you can't access any contents of the deleted file system.  You
can't delete a file system that is in use. That is, if the file system has any mount
targets, you must first delete them. For more information, see DescribeMountTargets and
DeleteMountTarget.   The DeleteFileSystem call returns while the file system state is still
deleting. You can check the file system deletion status by calling the DescribeFileSystems
operation, which returns a list of file systems in your account. If you pass file system ID
or creation token for the deleted file system, the DescribeFileSystems returns a 404
FileSystemNotFound error.  This operation requires permissions for the
elasticfilesystem:DeleteFileSystem action.

# Arguments
- `file_system_id`: The ID of the file system you want to delete.

"""
function delete_file_system(FileSystemId; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "DELETE",
        "/2015-02-01/file-systems/$(FileSystemId)";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_file_system(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "DELETE",
        "/2015-02-01/file-systems/$(FileSystemId)",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_file_system_policy(file_system_id)
    delete_file_system_policy(file_system_id, params::Dict{String,<:Any})

Deletes the FileSystemPolicy for the specified file system. The default FileSystemPolicy
goes into effect once the existing policy is deleted. For more information about the
default file system policy, see Using Resource-based Policies with EFS. This operation
requires permissions for the elasticfilesystem:DeleteFileSystemPolicy action.

# Arguments
- `file_system_id`: Specifies the EFS file system for which to delete the FileSystemPolicy.

"""
function delete_file_system_policy(
    FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "DELETE",
        "/2015-02-01/file-systems/$(FileSystemId)/policy";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_file_system_policy(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "DELETE",
        "/2015-02-01/file-systems/$(FileSystemId)/policy",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_mount_target(mount_target_id)
    delete_mount_target(mount_target_id, params::Dict{String,<:Any})

Deletes the specified mount target. This operation forcibly breaks any mounts of the file
system by using the mount target that is being deleted, which might disrupt instances or
applications using those mounts. To avoid applications getting cut off abruptly, you might
consider unmounting any mounts of the mount target, if feasible. The operation also deletes
the associated network interface. Uncommitted writes might be lost, but breaking a mount
target using this operation does not corrupt the file system itself. The file system you
created remains. You can mount an EC2 instance in your VPC by using another mount target.
This operation requires permissions for the following action on the file system:
elasticfilesystem:DeleteMountTarget     The DeleteMountTarget call returns while the mount
target state is still deleting. You can check the mount target deletion by calling the
DescribeMountTargets operation, which returns a list of mount target descriptions for the
given file system.   The operation also requires permissions for the following Amazon EC2
action on the mount target's network interface:    ec2:DeleteNetworkInterface

# Arguments
- `mount_target_id`: The ID of the mount target to delete (String).

"""
function delete_mount_target(
    MountTargetId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "DELETE",
        "/2015-02-01/mount-targets/$(MountTargetId)";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_mount_target(
    MountTargetId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "DELETE",
        "/2015-02-01/mount-targets/$(MountTargetId)",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    delete_tags(file_system_id, tag_keys)
    delete_tags(file_system_id, tag_keys, params::Dict{String,<:Any})

 DEPRECATED - DeleteTags is deprecated and not maintained. Please use the API action to
remove tags from EFS resources.  Deletes the specified tags from a file system. If the
DeleteTags request includes a tag key that doesn't exist, Amazon EFS ignores it and doesn't
cause an error. For more information about tags and related restrictions, see Tag
restrictions in the Billing and Cost Management User Guide. This operation requires
permissions for the elasticfilesystem:DeleteTags action.

# Arguments
- `file_system_id`: The ID of the file system whose tags you want to delete (String).
- `tag_keys`: A list of tag keys to delete.

"""
function delete_tags(
    FileSystemId, TagKeys; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "POST",
        "/2015-02-01/delete-tags/$(FileSystemId)",
        Dict{String,Any}("TagKeys" => TagKeys);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function delete_tags(
    FileSystemId,
    TagKeys,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/delete-tags/$(FileSystemId)",
        Dict{String,Any}(mergewith(_merge, Dict{String,Any}("TagKeys" => TagKeys), params));
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_access_points()
    describe_access_points(params::Dict{String,<:Any})

Returns the description of a specific Amazon EFS access point if the AccessPointId is
provided. If you provide an EFS FileSystemId, it returns descriptions of all access points
for that file system. You can provide either an AccessPointId or a FileSystemId in the
request, but not both.  This operation requires permissions for the
elasticfilesystem:DescribeAccessPoints action.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"AccessPointId"`: (Optional) Specifies an EFS access point to describe in the response;
  mutually exclusive with FileSystemId.
- `"FileSystemId"`: (Optional) If you provide a FileSystemId, EFS returns all access points
  for that file system; mutually exclusive with AccessPointId.
- `"MaxResults"`: (Optional) When retrieving all access points for a file system, you can
  optionally specify the MaxItems parameter to limit the number of objects returned in a
  response. The default value is 100.
- `"NextToken"`:  NextToken is present if the response is paginated. You can use NextMarker
  in the subsequent request to fetch the next page of access point descriptions.
"""
function describe_access_points(; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "GET",
        "/2015-02-01/access-points";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_access_points(
    params::AbstractDict{String}; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/access-points",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_account_preferences()
    describe_account_preferences(params::Dict{String,<:Any})

Returns the account preferences settings for the Amazon Web Services account associated
with the user making the request, in the current Amazon Web Services Region. For more
information, see Managing Amazon EFS resource IDs.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: (Optional) When retrieving account preferences, you can optionally
  specify the MaxItems parameter to limit the number of objects returned in a response. The
  default value is 100.
- `"NextToken"`: (Optional) You can use NextToken in a subsequent request to fetch the next
  page of Amazon Web Services account preferences if the response payload was paginated.
"""
function describe_account_preferences(; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "GET",
        "/2015-02-01/account-preferences";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_account_preferences(
    params::AbstractDict{String}; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/account-preferences",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_backup_policy(file_system_id)
    describe_backup_policy(file_system_id, params::Dict{String,<:Any})

Returns the backup policy for the specified EFS file system.

# Arguments
- `file_system_id`: Specifies which EFS file system to retrieve the BackupPolicy for.

"""
function describe_backup_policy(
    FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/backup-policy";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_backup_policy(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/backup-policy",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_file_system_policy(file_system_id)
    describe_file_system_policy(file_system_id, params::Dict{String,<:Any})

Returns the FileSystemPolicy for the specified EFS file system. This operation requires
permissions for the elasticfilesystem:DescribeFileSystemPolicy action.

# Arguments
- `file_system_id`: Specifies which EFS file system to retrieve the FileSystemPolicy for.

"""
function describe_file_system_policy(
    FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/policy";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_file_system_policy(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/policy",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_file_systems()
    describe_file_systems(params::Dict{String,<:Any})

Returns the description of a specific Amazon EFS file system if either the file system
CreationToken or the FileSystemId is provided. Otherwise, it returns descriptions of all
file systems owned by the caller's Amazon Web Services account in the Amazon Web Services
Region of the endpoint that you're calling. When retrieving all file system descriptions,
you can optionally specify the MaxItems parameter to limit the number of descriptions in a
response. Currently, this number is automatically set to 10. If more file system
descriptions remain, Amazon EFS returns a NextMarker, an opaque token, in the response. In
this case, you should send a subsequent request with the Marker request parameter set to
the value of NextMarker.  To retrieve a list of your file system descriptions, this
operation is used in an iterative process, where DescribeFileSystems is called first
without the Marker and then the operation continues to call it with the Marker parameter
set to the value of the NextMarker from the previous response until the response has no
NextMarker.   The order of file systems returned in the response of one DescribeFileSystems
call and the order of file systems returned across the responses of a multi-call iteration
is unspecified.   This operation requires permissions for the
elasticfilesystem:DescribeFileSystems action.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"CreationToken"`: (Optional) Restricts the list to the file system with this creation
  token (String). You specify a creation token when you create an Amazon EFS file system.
- `"FileSystemId"`: (Optional) ID of the file system whose description you want to retrieve
  (String).
- `"Marker"`: (Optional) Opaque pagination token returned from a previous
  DescribeFileSystems operation (String). If present, specifies to continue the list from
  where the returning call had left off.
- `"MaxItems"`: (Optional) Specifies the maximum number of file systems to return in the
  response (integer). This number is automatically set to 100. The response is paginated at
  100 per page if you have more than 100 file systems.
"""
function describe_file_systems(; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "GET",
        "/2015-02-01/file-systems";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_file_systems(
    params::AbstractDict{String}; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/file-systems",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_lifecycle_configuration(file_system_id)
    describe_lifecycle_configuration(file_system_id, params::Dict{String,<:Any})

Returns the current LifecycleConfiguration object for the specified Amazon EFS file system.
EFS lifecycle management uses the LifecycleConfiguration object to identify which files to
move to the EFS Infrequent Access (IA) storage class. For a file system without a
LifecycleConfiguration object, the call returns an empty array in the response. When EFS
Intelligent Tiering is enabled, TransitionToPrimaryStorageClass has a value of
AFTER_1_ACCESS. This operation requires permissions for the
elasticfilesystem:DescribeLifecycleConfiguration operation.

# Arguments
- `file_system_id`: The ID of the file system whose LifecycleConfiguration object you want
  to retrieve (String).

"""
function describe_lifecycle_configuration(
    FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/lifecycle-configuration";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_lifecycle_configuration(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/file-systems/$(FileSystemId)/lifecycle-configuration",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_mount_target_security_groups(mount_target_id)
    describe_mount_target_security_groups(mount_target_id, params::Dict{String,<:Any})

Returns the security groups currently in effect for a mount target. This operation requires
that the network interface of the mount target has been created and the lifecycle state of
the mount target is not deleted. This operation requires permissions for the following
actions:    elasticfilesystem:DescribeMountTargetSecurityGroups action on the mount
target's file system.     ec2:DescribeNetworkInterfaceAttribute action on the mount
target's network interface.

# Arguments
- `mount_target_id`: The ID of the mount target whose security groups you want to retrieve.

"""
function describe_mount_target_security_groups(
    MountTargetId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/mount-targets/$(MountTargetId)/security-groups";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_mount_target_security_groups(
    MountTargetId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/mount-targets/$(MountTargetId)/security-groups",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_mount_targets()
    describe_mount_targets(params::Dict{String,<:Any})

Returns the descriptions of all the current mount targets, or a specific mount target, for
a file system. When requesting all of the current mount targets, the order of mount targets
returned in the response is unspecified. This operation requires permissions for the
elasticfilesystem:DescribeMountTargets action, on either the file system ID that you
specify in FileSystemId, or on the file system of the mount target that you specify in
MountTargetId.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"AccessPointId"`: (Optional) The ID of the access point whose mount targets that you
  want to list. It must be included in your request if a FileSystemId or MountTargetId is not
  included in your request. Accepts either an access point ID or ARN as input.
- `"FileSystemId"`: (Optional) ID of the file system whose mount targets you want to list
  (String). It must be included in your request if an AccessPointId or MountTargetId is not
  included. Accepts either a file system ID or ARN as input.
- `"Marker"`: (Optional) Opaque pagination token returned from a previous
  DescribeMountTargets operation (String). If present, it specifies to continue the list from
  where the previous returning call left off.
- `"MaxItems"`: (Optional) Maximum number of mount targets to return in the response.
  Currently, this number is automatically set to 10, and other values are ignored. The
  response is paginated at 100 per page if you have more than 100 mount targets.
- `"MountTargetId"`: (Optional) ID of the mount target that you want to have described
  (String). It must be included in your request if FileSystemId is not included. Accepts
  either a mount target ID or ARN as input.
"""
function describe_mount_targets(; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "GET",
        "/2015-02-01/mount-targets";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_mount_targets(
    params::AbstractDict{String}; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/mount-targets",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    describe_tags(file_system_id)
    describe_tags(file_system_id, params::Dict{String,<:Any})

 DEPRECATED - The DeleteTags action is deprecated and not maintained. Please use the API
action to remove tags from EFS resources.  Returns the tags associated with a file system.
The order of tags returned in the response of one DescribeTags call and the order of tags
returned across the responses of a multiple-call iteration (when using pagination) is
unspecified.   This operation requires permissions for the elasticfilesystem:DescribeTags
action.

# Arguments
- `file_system_id`: The ID of the file system whose tag set you want to retrieve.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"Marker"`: (Optional) An opaque pagination token returned from a previous DescribeTags
  operation (String). If present, it specifies to continue the list from where the previous
  call left off.
- `"MaxItems"`: (Optional) The maximum number of file system tags to return in the
  response. Currently, this number is automatically set to 100, and other values are ignored.
  The response is paginated at 100 per page if you have more than 100 tags.
"""
function describe_tags(FileSystemId; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "GET",
        "/2015-02-01/tags/$(FileSystemId)/";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function describe_tags(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/tags/$(FileSystemId)/",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    list_tags_for_resource(resource_id)
    list_tags_for_resource(resource_id, params::Dict{String,<:Any})

Lists all tags for a top-level EFS resource. You must provide the ID of the resource that
you want to retrieve the tags for. This operation requires permissions for the
elasticfilesystem:DescribeAccessPoints action.

# Arguments
- `resource_id`: Specifies the EFS resource you want to retrieve tags for. You can retrieve
  tags for EFS file systems and access points using this API endpoint.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"MaxResults"`: (Optional) Specifies the maximum number of tag objects to return in the
  response. The default value is 100.
- `"NextToken"`: (Optional) You can use NextToken in a subsequent request to fetch the next
  page of access point descriptions if the response payload was paginated.
"""
function list_tags_for_resource(
    ResourceId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "GET",
        "/2015-02-01/resource-tags/$(ResourceId)";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function list_tags_for_resource(
    ResourceId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "GET",
        "/2015-02-01/resource-tags/$(ResourceId)",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    modify_mount_target_security_groups(mount_target_id)
    modify_mount_target_security_groups(mount_target_id, params::Dict{String,<:Any})

Modifies the set of security groups in effect for a mount target. When you create a mount
target, Amazon EFS also creates a new network interface. For more information, see
CreateMountTarget. This operation replaces the security groups in effect for the network
interface associated with a mount target, with the SecurityGroups provided in the request.
This operation requires that the network interface of the mount target has been created and
the lifecycle state of the mount target is not deleted.  The operation requires permissions
for the following actions:    elasticfilesystem:ModifyMountTargetSecurityGroups action on
the mount target's file system.     ec2:ModifyNetworkInterfaceAttribute action on the mount
target's network interface.

# Arguments
- `mount_target_id`: The ID of the mount target whose security groups you want to modify.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"SecurityGroups"`: An array of up to five VPC security group IDs.
"""
function modify_mount_target_security_groups(
    MountTargetId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "PUT",
        "/2015-02-01/mount-targets/$(MountTargetId)/security-groups";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function modify_mount_target_security_groups(
    MountTargetId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/mount-targets/$(MountTargetId)/security-groups",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_account_preferences(resource_id_type)
    put_account_preferences(resource_id_type, params::Dict{String,<:Any})

Use this operation to set the account preference in the current Amazon Web Services Region
to use long 17 character (63 bit) or short 8 character (32 bit) resource IDs for new EFS
file system and mount target resources. All existing resource IDs are not affected by any
changes you make. You can set the ID preference during the opt-in period as EFS transitions
to long resource IDs. For more information, see Managing Amazon EFS resource IDs.  Starting
in October, 2021, you will receive an error if you try to set the account preference to use
the short 8 character format resource ID. Contact Amazon Web Services support if you
receive an error and need to use short IDs for file system and mount target resources.

# Arguments
- `resource_id_type`: Specifies the EFS resource ID preference to set for the user's Amazon
  Web Services account, in the current Amazon Web Services Region, either LONG_ID (17
  characters), or SHORT_ID (8 characters).  Starting in October, 2021, you will receive an
  error when setting the account preference to SHORT_ID. Contact Amazon Web Services support
  if you receive an error and need to use short IDs for file system and mount target
  resources.

"""
function put_account_preferences(
    ResourceIdType; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "PUT",
        "/2015-02-01/account-preferences",
        Dict{String,Any}("ResourceIdType" => ResourceIdType);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_account_preferences(
    ResourceIdType,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/account-preferences",
        Dict{String,Any}(
            mergewith(_merge, Dict{String,Any}("ResourceIdType" => ResourceIdType), params)
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_backup_policy(backup_policy, file_system_id)
    put_backup_policy(backup_policy, file_system_id, params::Dict{String,<:Any})

Updates the file system's backup policy. Use this action to start or stop automatic backups
of the file system.

# Arguments
- `backup_policy`: The backup policy included in the PutBackupPolicy request.
- `file_system_id`: Specifies which EFS file system to update the backup policy for.

"""
function put_backup_policy(
    BackupPolicy, FileSystemId; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/backup-policy",
        Dict{String,Any}("BackupPolicy" => BackupPolicy);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_backup_policy(
    BackupPolicy,
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/backup-policy",
        Dict{String,Any}(
            mergewith(_merge, Dict{String,Any}("BackupPolicy" => BackupPolicy), params)
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_file_system_policy(file_system_id, policy)
    put_file_system_policy(file_system_id, policy, params::Dict{String,<:Any})

Applies an Amazon EFS FileSystemPolicy to an Amazon EFS file system. A file system policy
is an IAM resource-based policy and can contain multiple policy statements. A file system
always has exactly one file system policy, which can be the default policy or an explicit
policy set or updated using this API operation. EFS file system policies have a 20,000
character limit. When an explicit policy is set, it overrides the default policy. For more
information about the default file system policy, see Default EFS File System Policy.   EFS
file system policies have a 20,000 character limit.  This operation requires permissions
for the elasticfilesystem:PutFileSystemPolicy action.

# Arguments
- `file_system_id`: The ID of the EFS file system that you want to create or update the
  FileSystemPolicy for.
- `policy`: The FileSystemPolicy that you're creating. Accepts a JSON formatted policy
  definition. EFS file system policies have a 20,000 character limit. To find out more about
  the elements that make up a file system policy, see EFS Resource-based Policies.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"BypassPolicyLockoutSafetyCheck"`: (Optional) A flag to indicate whether to bypass the
  FileSystemPolicy lockout safety check. The policy lockout safety check determines whether
  the policy in the request will prevent the principal making the request will be locked out
  from making future PutFileSystemPolicy requests on the file system. Set
  BypassPolicyLockoutSafetyCheck to True only when you intend to prevent the principal that
  is making the request from making a subsequent PutFileSystemPolicy request on the file
  system. The default value is False.
"""
function put_file_system_policy(
    FileSystemId, Policy; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/policy",
        Dict{String,Any}("Policy" => Policy);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_file_system_policy(
    FileSystemId,
    Policy,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/policy",
        Dict{String,Any}(mergewith(_merge, Dict{String,Any}("Policy" => Policy), params));
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    put_lifecycle_configuration(file_system_id, lifecycle_policies)
    put_lifecycle_configuration(file_system_id, lifecycle_policies, params::Dict{String,<:Any})

Enables lifecycle management by creating a new LifecycleConfiguration object. A
LifecycleConfiguration object defines when files in an Amazon EFS file system are
automatically transitioned to the lower-cost EFS Infrequent Access (IA) storage class. To
enable EFS Intelligent Tiering, set the value of TransitionToPrimaryStorageClass to
AFTER_1_ACCESS. For more information, see EFS Lifecycle Management. Each Amazon EFS file
system supports one lifecycle configuration, which applies to all files in the file system.
If a LifecycleConfiguration object already exists for the specified file system, a
PutLifecycleConfiguration call modifies the existing configuration. A
PutLifecycleConfiguration call with an empty LifecyclePolicies array in the request body
deletes any existing LifecycleConfiguration and turns off lifecycle management for the file
system. In the request, specify the following:    The ID for the file system for which you
are enabling, disabling, or modifying lifecycle management.   A LifecyclePolicies array of
LifecyclePolicy objects that define when files are moved to the IA storage class. Amazon
EFS requires that each LifecyclePolicy object have only have a single transition, so the
LifecyclePolicies array needs to be structured with separate LifecyclePolicy objects. See
the example requests in the following section for more information.   This operation
requires permissions for the elasticfilesystem:PutLifecycleConfiguration operation. To
apply a LifecycleConfiguration object to an encrypted file system, you need the same Key
Management Service permissions as when you created the encrypted file system.

# Arguments
- `file_system_id`: The ID of the file system for which you are creating the
  LifecycleConfiguration object (String).
- `lifecycle_policies`: An array of LifecyclePolicy objects that define the file system's
  LifecycleConfiguration object. A LifecycleConfiguration object informs EFS lifecycle
  management and intelligent tiering of the following:   When to move files in the file
  system from primary storage to the IA storage class.   When to move files that are in IA
  storage to primary storage.    When using the put-lifecycle-configuration CLI command or
  the PutLifecycleConfiguration API action, Amazon EFS requires that each LifecyclePolicy
  object have only a single transition. This means that in a request body, LifecyclePolicies
  needs to be structured as an array of LifecyclePolicy objects, one object for each
  transition, TransitionToIA, TransitionToPrimaryStorageClass. See the example requests in
  the following section for more information.

"""
function put_lifecycle_configuration(
    FileSystemId, LifecyclePolicies; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/lifecycle-configuration",
        Dict{String,Any}("LifecyclePolicies" => LifecyclePolicies);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function put_lifecycle_configuration(
    FileSystemId,
    LifecyclePolicies,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)/lifecycle-configuration",
        Dict{String,Any}(
            mergewith(
                _merge, Dict{String,Any}("LifecyclePolicies" => LifecyclePolicies), params
            ),
        );
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    tag_resource(resource_id, tags)
    tag_resource(resource_id, tags, params::Dict{String,<:Any})

Creates a tag for an EFS resource. You can create tags for EFS file systems and access
points using this API operation. This operation requires permissions for the
elasticfilesystem:TagResource action.

# Arguments
- `resource_id`: The ID specifying the EFS resource that you want to create a tag for.
- `tags`: An array of Tag objects to add. Each Tag object is a key-value pair.

"""
function tag_resource(ResourceId, Tags; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "POST",
        "/2015-02-01/resource-tags/$(ResourceId)",
        Dict{String,Any}("Tags" => Tags);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function tag_resource(
    ResourceId,
    Tags,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "POST",
        "/2015-02-01/resource-tags/$(ResourceId)",
        Dict{String,Any}(mergewith(_merge, Dict{String,Any}("Tags" => Tags), params));
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    untag_resource(resource_id, tag_keys)
    untag_resource(resource_id, tag_keys, params::Dict{String,<:Any})

Removes tags from an EFS resource. You can remove tags from EFS file systems and access
points using this API operation. This operation requires permissions for the
elasticfilesystem:UntagResource action.

# Arguments
- `resource_id`: Specifies the EFS resource that you want to remove tags from.
- `tag_keys`: The keys of the key-value tag pairs that you want to remove from the
  specified EFS resource.

"""
function untag_resource(
    ResourceId, tagKeys; aws_config::AbstractAWSConfig=global_aws_config()
)
    return efs(
        "DELETE",
        "/2015-02-01/resource-tags/$(ResourceId)",
        Dict{String,Any}("tagKeys" => tagKeys);
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function untag_resource(
    ResourceId,
    tagKeys,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "DELETE",
        "/2015-02-01/resource-tags/$(ResourceId)",
        Dict{String,Any}(mergewith(_merge, Dict{String,Any}("tagKeys" => tagKeys), params));
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end

"""
    update_file_system(file_system_id)
    update_file_system(file_system_id, params::Dict{String,<:Any})

Updates the throughput mode or the amount of provisioned throughput of an existing file
system.

# Arguments
- `file_system_id`: The ID of the file system that you want to update.

# Optional Parameters
Optional parameters can be passed as a `params::Dict{String,<:Any}`. Valid keys are:
- `"ProvisionedThroughputInMibps"`: (Optional) Sets the amount of provisioned throughput,
  in MiB/s, for the file system. Valid values are 1-1024. If you are changing the throughput
  mode to provisioned, you must also provide the amount of provisioned throughput. Required
  if ThroughputMode is changed to provisioned on update.
- `"ThroughputMode"`: (Optional) Updates the file system's throughput mode. If you're not
  updating your throughput mode, you don't need to provide this value in your request. If you
  are changing the ThroughputMode to provisioned, you must also set a value for
  ProvisionedThroughputInMibps.
"""
function update_file_system(FileSystemId; aws_config::AbstractAWSConfig=global_aws_config())
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)";
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end
function update_file_system(
    FileSystemId,
    params::AbstractDict{String};
    aws_config::AbstractAWSConfig=global_aws_config(),
)
    return efs(
        "PUT",
        "/2015-02-01/file-systems/$(FileSystemId)",
        params;
        aws_config=aws_config,
        feature_set=SERVICE_FEATURE_SET,
    )
end


text:
Players = Union{Vector{Int},Set{Int}}

struct SimpleGame
    N::Players
    v::Function
end

"""
A graph game extends a simple game with a list of edges,

L = [(i, j), (j, k), …]
"""
struct GraphGame
    N::Players
    v::Function
    g::SimpleGraph

    function GraphGame(
        N::Players, v::Function,
        L::Array{NTuple{2,Int}})

        n = length(N)
        g = SimpleGraph(n)

        for (i, j) in L
            add_edge!(g, i, j)
        end

        new(N, v, g)
    end

    function GraphGame(N::Players, v::Function, g::SimpleGraph)
        new(N, v, g)
    end

end

Game = Union{GraphGame,SimpleGame}

struct SubComponents
    G::GraphGame
end

function subcomponents(G::GraphGame)
    SubComponents(G)
end

function Base.iterate(
    S::SubComponents,
    state=fill(false, length(S.G.N) + 1))

    state[end] && return nothing

    coal, newstate = iterate(subsets(S.G.N), state)

    return induced_subgraph(S.G.g, coal), newstate

end

ext: jl


text:
"""
    IPMCMC(n_particles::Int, n_iters::Int, n_nodes::Int, n_csmc_nodes::Int)

Particle Gibbs sampler.

Usage:

```julia
IPMCMC(100, 100, 4, 2)
```

Example:

```julia
# Define a simple Normal model with unknown mean and variance.
@model gdemo(x) = begin
  s ~ InverseGamma(2,3)
  m ~ Normal(0,sqrt(s))
  x[1] ~ Normal(m, sqrt(s))
  x[2] ~ Normal(m, sqrt(s))
  return s, m
end

sample(gdemo([1.5, 2]), IPMCMC(100, 100, 4, 2))
```
"""
mutable struct IPMCMC <: InferenceAlgorithm
  n_particles           ::    Int         # number of particles used
  n_iters               ::    Int         # number of iterations
  n_nodes               ::    Int         # number of nodes running SMC and CSMC
  n_csmc_nodes          ::    Int         # number of nodes CSMC
  resampler             ::    Function    # function to resample
  space                 ::    Set         # sampling space, emtpy means all
  gid                   ::    Int         # group ID
  IPMCMC(n1::Int, n2::Int) = new(n1, n2, 32, 16, resampleSystematic, Set(), 0)
  IPMCMC(n1::Int, n2::Int, n3::Int) = new(n1, n2, n3, Int(ceil(n3/2)), resampleSystematic, Set(), 0)
  IPMCMC(n1::Int, n2::Int, n3::Int, n4::Int) = new(n1, n2, n3, n4, resampleSystematic, Set(), 0)
  function IPMCMC(n1::Int, n2::Int, n3::Int, n4::Int, space...)
    space = isa(space, Symbol) ? Set([space]) : Set(space)
    new(n1, n2, n3, n4, resampleSystematic, space, 0)
  end
  IPMCMC(alg::IPMCMC, new_gid::Int) = new(alg.n_particles, alg.n_iters, alg.n_nodes, alg.n_csmc_nodes, alg.resampler, alg.space, new_gid)
end

function Sampler(alg::IPMCMC)
  # Create SMC and CSMC nodes
  samplers = Array{Sampler}(undef, alg.n_nodes)
  # Use resampler_threshold=1.0 for SMC since adaptive resampling is invalid in this setting
  default_CSMC = CSMC(alg.n_particles, 1, alg.resampler, alg.space, 0)
  default_SMC = SMC(alg.n_particles, alg.resampler, 1.0, false, alg.space, 0)

  for i in 1:alg.n_csmc_nodes
    samplers[i] = Sampler(CSMC(default_CSMC, i))
  end
  for i in (alg.n_csmc_nodes+1):alg.n_nodes
    samplers[i] = Sampler(SMC(default_SMC, i))
  end

  info = Dict{Symbol, Any}()
  info[:samplers] = samplers

  Sampler(alg, info)
end

step(model::Function, spl::Sampler{IPMCMC}, VarInfos::Array{VarInfo}, is_first::Bool) = begin
  # Initialise array for marginal likelihood estimators
  log_zs = zeros(spl.alg.n_nodes)

  # Run SMC & CSMC nodes
  for j in 1:spl.alg.n_nodes
    VarInfos[j].num_produce = 0
    VarInfos[j] = step(model, spl.info[:samplers][j], VarInfos[j])
    log_zs[j] = spl.info[:samplers][j].info[:logevidence][end]
  end

  # Resampling of CSMC nodes indices
  conditonal_nodes_indices = collect(1:spl.alg.n_csmc_nodes)
  unconditonal_nodes_indices = collect(spl.alg.n_csmc_nodes+1:spl.alg.n_nodes)
  for j in 1:spl.alg.n_csmc_nodes
    # Select a new conditional node by simulating cj
    log_ksi = vcat(log_zs[unconditonal_nodes_indices], log_zs[j])
    ksi = exp.(log_ksi-maximum(log_ksi))
    c_j = wsample(ksi) # sample from Categorical with unormalized weights

    if c_j < length(log_ksi) # if CSMC node selects another index than itself
      conditonal_nodes_indices[j] = unconditonal_nodes_indices[c_j]
      unconditonal_nodes_indices[c_j] = j
    end
  end
  nodes_permutation = vcat(conditonal_nodes_indices, unconditonal_nodes_indices)

  VarInfos[nodes_permutation]
end

sample(model::Function, alg::IPMCMC) = begin

  spl = Sampler(alg)

  # Number of samples to store
  sample_n = alg.n_iters * alg.n_csmc_nodes

  # Init samples
  time_total = zero(Float64)
  samples = Array{Sample}(undef, sample_n)
  weight = 1 / sample_n
  for i = 1:sample_n
    samples[i] = Sample(weight, Dict{Symbol, Any}())
  end

  # Init parameters
  VarInfos = Array{VarInfo}(undef, spl.alg.n_nodes)
  for j in 1:spl.alg.n_nodes
    VarInfos[j] = VarInfo()
  end
  n = spl.alg.n_iters

  # IPMCMC steps
  if PROGRESS spl.info[:progress] = ProgressMeter.Progress(n, 1, "[IPMCMC] Sampling...", 0) end
  for i = 1:n
    @debug "IPMCMC stepping..."
    time_elapsed = @elapsed VarInfos = step(model, spl, VarInfos, i==1)

    # Save each CSMS retained path as a sample
    for j in 1:spl.alg.n_csmc_nodes
      samples[(i-1)*alg.n_csmc_nodes+j].value = Sample(VarInfos[j], spl).value
    end

    time_total += time_elapsed
    if PROGRESS
      haskey(spl.info, :progress) && ProgressMeter.update!(spl.info[:progress], spl.info[:progress].counter + 1)
    end
  end

  println("[IPMCMC] Finished with")
  println("  Running time    = $time_total;")

  Chain(0, samples) # wrap the result by Chain
end


text:
;;; Test suite for JL

; Assert that an expression is true.  Prints a dot if true, or FAIL if false.
(define assert (lambda (tst) (if tst (print ".") (print "\nFAIL\n"))))

(define fib (lambda (n)
   (if (> n 1)    ; Comment in the middle of a line
      (+ (fib (- n 1)) (fib (- n 2)))
      1)))

(assert (= (fib 4) 5))
(assert (= (fib 0) 1))

(define fact (lambda (n)
   (if (> n 0) (* (fact (- n 1)) n) 1)))

(assert (= (fact 5) 120))

(define length (lambda (lst)
   (if (null? lst) 0 (+ 1 (length (rest lst))))))

(assert (= (length (list 1 2 3 4)) 4))
(assert (= (length (list)) 0))

(define nth (lambda (n lst)
   (if (<= n 1) (head lst)
      (nth (- n 1) (rest lst)))))

(assert (= (nth 2 (list 5 4 3 2 1)) 4))
(assert (= (nth 1 (list 5 4 3 2 1)) 5))

(define map (lambda (f lst)
   (if (null? lst) nil (cons (f (head lst)) (map f (rest lst))))))

(define foldl (lambda (f i lst)
   (if lst (foldl f (f i (head lst)) (rest lst)) i)))

(assert (= (foldl (lambda (a b) (+ a b)) 1 (list 2 3 4)) 10))

(assert (= (foldl (lambda (a b) (+ a b)) 0
                  (map (lambda (x) (+ x 1)) (list 0 1 2 3))) 10))

(define reverse (lambda (lst) (foldl (lambda (a b) (cons b a)) (list) lst)))

(define make-increment (lambda (i) (lambda (x) (+ x i))))
(define add-five (make-increment 5))
(assert (= (add-five 2) 7))

(define add (lambda (x y) (+ x y)))
(define do-define (lambda (x)
   (define add (lambda (y) (- x y)))
   (add 1)))
(assert (= (do-define 3) 2))
(assert (= (add 1 2) 3))

(define x 1)
(define x 2)
(assert (= x 2))

(assert (= (begin 1 2) 2))

(define y 1)
(assert (= y 1))
(begin
   (assert (= y 1))
   (define y 2)
   (assert (= y 2)))
(assert (= y 1))

(assert (not (and 0 (assert 0))))
(assert (= 1 (or 1)))
(assert (= 1 (not 0)))

(define strlen (lambda (str)
   (define helper (lambda (i) (if (substr str i 1) (helper (+ i 1)) i)))
   (helper 0)))

(assert (= (strlen "asdf") 4))

(assert (= 1 (number? 5)))
(assert (= nil (number? nil)))
(assert (= nil (number? "test")))
(assert (= nil (number? (list 1 2 3))))
(assert (= 1 (number? (head (list 1 2 3)))))

(assert (= 1 (string? "asfd")))
(assert (= nil (string? nil)))
(assert (= nil (string? 5)))
(assert (= nil (string? (list 1 2 3))))
(assert (= 1 (string? (head (list "asdf" 2 3)))))

(assert (= 1 (list? (list 1 2))))
(assert (= nil (list? nil)))
(assert (= nil (list? 5)))
(assert (= nil (list? "test")))
(assert (= 1 (list? (head (list (list 1 2) 2 3)))))

(assert (< "a" "b"))
(assert (= "asdf" "asdf"))
(assert (<= "a" "b"))
(assert (<= "a" "a"))
(assert (!= "ab" "ac"))
(assert (> "b" "a"))
(assert (>= "b" "a"))
(assert (>= "a" "a"))

(assert (= ((lambda (a b) (+ a b 1)) 2 3) 6))

; Test concat and whitespace before closing ')'.
(define repeat
    (lambda (str i)
        (if (= i 1)
            str
            (if (> i 0)
                (concat (repeat str (- i 1)) "," str)
                ""
            )
        )
    )
)
(assert (= "0123456789,0123456789,0123456789" (repeat "0123456789" 3)))

(print "\ndone\n")

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text:
export mult_update!

# B = αBA
mult_update!(B::BlasMatrix{T}, α::Number, A::BlasTriangular{T}, ::Val{1}) where T = trmm_αAB!(α, A, B, 'R')
mult_update!(B::BlasMatrix{T}, α::Number, A::BlasTriangular{T}, ::Val{2}) where T = trmm_αAB!(α, A, B, 'R')
mult_update!(B::BlasMatrix{T}, A::BlasTriangular{T}, α::Number, ::Val{1}) where T = trmm_αAB!(α, A, B, 'R')

# B = BA
mult_update!(B::BlasArray, A, ::Val{1}) = rmul_AB!(A, B)

# B = αAB
mult_update!(B::BlasMatrix{T}, α::Number, A::BlasTriangular{T}, ::Val{3}) where T = trmm_αAB!(α, A, B, 'L')
mult_update!(B::BlasMatrix{T}, A::BlasTriangular{T}, α::Number, ::Val{2}) where T = trmm_αAB!(α, A, B, 'L')
mult_update!(B::BlasMatrix{T}, A::BlasTriangular{T}, α::Number, ::Val{3}) where T = trmm_αAB!(α, A, B, 'L')

# B = AB
mult_update!(B::BlasArray, A, ::Val{2}) = lmul_AB!(A, B)

function trmm_αAB!(α, A, B::BlasMatrix{T}, side) where T
    try
        α = convert(T,α)
        BLAS.trmm!(side, A.uplo, A.trans, A.diag, α, A.blasnode, B)
    catch err
        ip_error(err)
    end

end

function lmul_AB!(A, B)
    try
        lmul!(A,B)
    catch err
        ip_error(err)
    end
end

function rmul_AB!(A, B)
    try
        rmul!(B,A)
    catch err
        ip_error(err)
    end
end

mult_update!(B, F1, F2, ::Val) =
    ip_error("multiplicative update not available for this combination of types.")

mult_update!(B, F1, ::Val) =
    ip_error("multiplicative update not available for this combination of types.")


text:
using Base: @get!

@nograd readline

# Gradient of AD stacks

grad_mut(::AbstractVector) = []

@adjoint! function _push!(a::Vector, x)
  _push!(a, x), function (y)
    dstk = grad_mut(__context__, a)
    return (nothing, pop!(dstk))
  end
end

@adjoint! function pop!(stk::Stack)
  pop!(stk), function (Δ)
    dstk = grad_mut(__context__, stk.data)
    push!(dstk, Δ)
    return
  end
end

# Dictionaries

grad_mut(d::AbstractDict) = Dict()

# TODO perhaps look up mutable gradients in `forward`
function accum(a::AbstractDict, b::AbstractDict)
  @assert a === b
  return a
end

@adjoint function getindex(d::AbstractDict, k)
  d[k], function (Δ)
    grad = grad_mut(__context__, d)
    grad[k] = accum(get(grad, k, nothing), Δ)
    return (grad, nothing)
  end
end

@adjoint! function setindex!(d::AbstractDict, v, k)
  setindex!(d, v, k), function (Δ)
    (nothing, get(grad_mut(__context__, d), k, nothing), nothing)
  end
end


text:
module PQPolygonSDK

# include -
include("Include.jl")

# methods and types that we export -
export model
export url
export api

# types -
export AbstractPolygonEndpointModel
export PQPolygonSDKUserModel

# market endpoints -
export PolygonPreviousCloseEndpointModel
export PolygonAggregatesEndpointModel
export PolygonOptionsContractReferenceEndpoint
export PolygonGroupedDailyEndpointModel
export PolygonDailyOpenCloseEndpointModel

# reference endpoints -
export PolygonTickerNewsEndpointModel
export PolygonTickerDetailsEndpointModel

end # module


text:
using Test

@testset "GATs" begin
  include("Meta.jl")
  include("GAT.jl")
end

@testset "Syntax" begin
  include("Syntax.jl")
end

@testset "Presentations" begin
  include("Present.jl")
end


text:
# Note that this script can accept some limited command-line arguments, run
# `julia build_tarballs.jl --help` to see a usage message.
using BinaryBuilder

name = "PCIUtils"
version = v"3.6.2"

# Collection of sources required to build PCIUtils
sources = [
    "https://www.kernel.org/pub/software/utils/pciutils/pciutils-3.6.2.tar.xz" =>
    "db452ec986edefd88af0d222d22f6102f8030a8633fdfe846c3ae4bde9bb93f3",

]

# Bash recipe for building across all platforms
script = raw"""
cd $WORKSPACE/srcdir
cd pciutils-3.6.2/
make PREFIX=$prefix SHAREDIR=/usr/share/hwdata SHARED=yes -j${nproc}
make PREFIX=$prefix SHAREDIR=/usr/share/hwdata SHARED=yes install install-lib
chmod -v 755 lib/libpci.so.3.6.2

"""

# These are the platforms we will build for by default, unless further
# platforms are passed in on the command line
platforms = [
    Linux(:i686, :glibc),
    Linux(:x86_64, :glibc),
    Linux(:aarch64, :glibc),
    Linux(:armv7l, :glibc, :eabihf),
    Linux(:powerpc64le, :glibc),
    Linux(:i686, :musl),
    Linux(:x86_64, :musl),
    Linux(:aarch64, :musl),
    Linux(:armv7l, :musl, :eabihf),
    FreeBSD(:x86_64)
]

# The products that we will ensure are always built
products(prefix) = [
    ExecutableProduct(prefix, "lspci", Symbol("")),
    ExecutableProduct(prefix, "setpci", Symbol("")),
    LibraryProduct(prefix, "libpci", Symbol(""))
]

# Dependencies that must be installed before this package can be built
dependencies = [

]

# Build the tarballs, and possibly a `build.jl` as well.
build_tarballs(ARGS, name, version, sources, script, platforms, products, dependencies)

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text:
"""
    MeshPlotter(rd::RefElemData, md::RefElemData)

Plot recipe to plot a (possibly curved) quadrilateral or triangular mesh. Usage: `plot(MeshPlotter(...))`
"""
struct MeshPlotter{Dim, RD<:RefElemData{Dim}, MD<:MeshData{Dim}}
    rd::RD
    md::MD
end

RecipesBase.@recipe function f(m::MeshPlotter{2})

    linecolor --> :black
    legend --> false
    aspect_ratio --> 1

    @unpack rd, md = m
    @unpack x, y = md
    @unpack Fmask = rd
    Fmask = reshape(Fmask, length(Fmask) ÷ rd.Nfaces, rd.Nfaces)
    get_face_nodes(u, e, f) = view(u, view(Fmask, :, f), e)

    VDM = vandermonde(Line(), rd.N, nodes(Line(), rd.N))
    Vp1D = vandermonde(Line(), rd.N, LinRange(-1, 1, 15)) / VDM

    xmesh, ymesh = eltype(x)[], eltype(y)[]
    for e in 1:md.num_elements
        for f in 1:rd.Nfaces
            x_f,y_f = (x->append!(Vp1D*x, NaN)).(get_face_nodes.((x, y), e, f))
            append!(xmesh, x_f)
            append!(ymesh, y_f)
        end
    end
    return xmesh,ymesh
end

"""
    VertexMeshPlotter((VX, VY), EToV, fv)
    VertexMeshPlotter(triout::TriangulateIO)

Plot recipe to plot a quadrilateral or triangular mesh. Usage: `plot(VertexMeshPlotter(...))`
"""
struct VertexMeshPlotter{NDIMS, Tv, Ti, Nfaces}
    VXY::NTuple{NDIMS, Vector{Tv}}
    EToV::Matrix{Ti}
    fv::NTuple{Nfaces, Vector{Int}}
end

RecipesBase.@recipe function f(m::VertexMeshPlotter)

    @unpack VXY, EToV, fv = m
    VX, VY = VXY

    linecolor --> :black
    legend --> false
    aspect_ratio --> 1
    # title --> "$(size(EToV,1)) elements"

    xmesh = eltype(VX)[]
    ymesh = eltype(VY)[]
    for vertex_ids in eachrow(EToV)
        ids = vcat(vertex_ids, vertex_ids[1])
        for f in fv
            append!(xmesh, [VX[ids[f]]; NaN])
            append!(ymesh, [VY[ids[f]]; NaN])
        end
    end
    return xmesh, ymesh
end


text:
#import Distances

include("projection.jl")
include("models.jl")

B = vcat(models.test_model,models.test_model.+9);B[:,3]*=0.;B
#D = Distances.pairwise(Distances.Euclidean(),transpose(B),dims=2)
#sum( Distances.pairwise(Distances.Euclidean(),transpose( Ingenuous.projection.distance_matrix_to_absolute_coordinates(D,false) ))-D )

A = projection.distance_matrix_to_absolute_coordinates( models.test_distance_matrix,false )

println( B )
println( )
println( A )

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text:
using Counters
using Test
using SparseArrays

# write your own tests here
@test 1 == 1
c = Counter{String}()
c["alpha"] = 1
incr!(c,"bravo")
c["charlie"] += 1

@test c["alpha"] == 1
@test c["bravo"] == 1
@test c["charlie"] == 1

c = c+c

@test c["alpha"] == 2
@test nnz(c) == 3
@test sum(c) == 6

c["delta"] = 2
c["delta"] += -10
@test c["delta"]==0

d = deepcopy(c)
clean!(d)
@test c==d

@test nnz(c)==3
@test sum(c)==6
@test length(c)==4
@test length(d)==3

X = Set(1:3)
c = counter(X)
Y = BitSet(1:3)
d = counter(Y)
@test c==d


text:
module DRAW

using Knet, Sloth
import Knet: minibatch, params, train!
using Statistics, Random, Dates
import Base: push!, empty!

using ArgParse
using Images, ImageMagick
using JLD2
using MosaicViews

include(Knet.dir("data","mnist.jl"))
_etype = Float32
_atype = gpu() >= 0 ? KnetArray{_etype} : Array{_etype}
SEED = -1 # FIXME: find a better way

include("utils.jl")
include("layers.jl")
include("network.jl")
include("visualize.jl")
include("train.jl")

end # module

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text:
using View5D, IndexFunArrays # you may need to add the package IndexFunArrays

# Generate some 4D Gaussians
sz = (50,50,5,10)
N = 60
offsets = 1 .+ (sz.-1) .* rand(4,N)
sigmas = 2.0 .*(0.3 .+rand(4,N))
data =  gaussian(sz,offset = offsets, weight=rand(N), sigma=sigmas);  # generates random Gaussians in 4D

# find maxima

@vv data
# use "e" to advance spectral channels, "n" in the bottom right (element) panel to toggle normalization
# by "r" "g" "b" you can choose colors for elements. "v" toggles the color in and out of overlay,
# color overlay is accessed by "C" (shift-"c")

# Lets do a 2d diffusion of guassian blobs over time:


text:
module SeisReconstruction
    using Interpolations,Requires,FFTW, LinearAlgebra,DSP
    include("Reconstruction/Reconstruction.jl")
    include("Tools/Tools.jl")
end


text:
@require TimeSeries begin
using TableTraits
using DataValues

immutable TimeArrayIterator{T, S}
    source::S
end

TableTraits.isiterable(x::TimeSeries.TimeArray) = true
TableTraits.isiterabletable(x::TimeSeries.TimeArray) = true

function TableTraits.getiterator{S<:TimeSeries.TimeArray}(ta::S)
    col_expressions = Array{Expr,1}()
    df_columns_tuple_type = Expr(:curly, :Tuple)

    # Add column for timestamp
    push!(col_expressions, Expr(:(::), :timestamp, S.parameters[3]))
    push!(df_columns_tuple_type.args, S.parameters[3])

    etype = eltype(ta.values)
    if ndims(ta.values)==1
        push!(col_expressions, Expr(:(::), ta.colnames[1]=="" ? :value : Symbol(ta.colnames[1]), etype))
        push!(df_columns_tuple_type.args, etype)
    else
        for i in 1:size(ta.values,2)
            push!(col_expressions, Expr(:(::), Symbol(ta.colnames[i]), etype))
            push!(df_columns_tuple_type.args, etype)
        end
    end
    t_expr = NamedTuples.make_tuple(col_expressions)

    t2 = :(TimeArrayIterator{Float64,Float64})
    t2.args[2] = t_expr
    t2.args[3] = S

    t = eval(t2)

    e_ta = t(ta)

    return e_ta
end

function Base.length{T,TS}(iter::TimeArrayIterator{T,TS})
    return length(iter.source)
end

function Base.eltype{T,TS}(iter::TimeArrayIterator{T,TS})
    return T
end

Base.eltype(::Type{TimeArrayIterator{T,TS}}) where {T,TS} = T

function Base.start{T,TS}(iter::TimeArrayIterator{T,TS})
    return 1
end

@generated function Base.next{T,S}(iter::TimeArrayIterator{T,S}, state)
    constructor_call = Expr(:call, :($T))

    # Add timestamp column
    push!(constructor_call.args, :(iter.source.timestamp[i]))

    for i in 1:length(T.parameters)-1
        push!(constructor_call.args, :(iter.source.values[i,$i]))
    end

    quote
        i = state
        a = $constructor_call
        return a, state+1
    end
end

function Base.done{T,TS}(iter::TimeArrayIterator{T,TS}, state)
    return state>length(iter.source.timestamp)
end

# Sink

# TODO This is a terribly inefficient implementation. Minimally it
# should be changed to be more type stable.
function TimeSeries.TimeArray(x; timestamp_column::Symbol=:timestamp)
    isiterabletable(x) || error()

    iter = getiterator(x)

    if TableTraits.column_count(iter)<2
        error("Need at least two columns")
    end

    names = TableTraits.column_names(iter)

    timestep_col_index = findfirst(names, timestamp_column)

    if timestep_col_index==0
        error("No timestamp column found.")
    end

    col_types = TableTraits.column_types(iter)

    data_columns = collect(Iterators.filter(i->i[2][1]!=timestamp_column, enumerate(zip(names, col_types))))

    orig_data_type = data_columns[1][2][2]

    data_type = orig_data_type <: DataValue ? orig_data_type.parameters[1] : orig_data_type

    orig_timestep_type = col_types[timestep_col_index]

    timestep_type = orig_timestep_type <: DataValue ? orig_timestep_type.parameters[1] : orig_timestep_type

    if any(i->i[2][2]!=orig_data_type, data_columns)
        error("All data columns need to be of the same type.")
    end

    t_column = Array{timestep_type,1}()
    d_array = Array{Array{data_type,1},1}()
    for i in data_columns
        push!(d_array, Array{data_type,1}())
    end

    for v in iter
        if orig_timestep_type <: DataValue
            push!(t_column, get(v[timestep_col_index]))
        else
            push!(t_column, v[timestep_col_index])
        end

        if orig_data_type <: DataValue
            for (i,c) in enumerate(data_columns)
                push!(d_array[i],get(v[c[1]]))
            end
        else
            for (i,c) in enumerate(data_columns)
                push!(d_array[i],v[c[1]])
            end
        end
    end

    d_array = hcat(d_array...)

    ta = TimeSeries.TimeArray(t_column,d_array,[string(i[2][1]) for i in data_columns])
    return ta
end

end


text:
# This file was generated, do not modify it. # hide
@show false_positive(cm)
@show accuracy(ŷ, y)  |> r3
@show accuracy(cm)    |> r3  # same thing
@show precision(ŷ, y) |> r3
@show recall(ŷ, y)    |> r3
@show f1score(ŷ, y)   |> r3