- user/topics/arv-copy.html.textile.liquid
- user/topics/collection-versioning.html.textile.liquid
- user/topics/storage-classes.html.textile.liquid
- - user/topics/keep.html.textile.liquid
- Data Analysis with Workflows:
- user/cwl/cwl-runner.html.textile.liquid
- user/cwl/cwl-run-options.html.textile.liquid
architecture:
- Topics:
- architecture/index.html.textile.liquid
- - api/storage.html.textile.liquid
+ - Storage in Keep:
+ - architecture/storage.html.textile.liquid
+ - architecture/keep-clients.html.textile.liquid
+ - architecture/keep-data-lifecycle.html.textile.liquid
+ - architecture/manifest-format.html.textile.liquid
+ - Computation with Crunch:
- api/execution.html.textile.liquid
+ - Other:
- api/permission-model.html.textile.liquid
- architecture/federation.html.textile.liquid
admin:
- admin/logs-table-management.html.textile.liquid
- admin/workbench2-vocabulary.html.textile.liquid
- admin/storage-classes.html.textile.liquid
- - admin/recovering-deleted-collections.html.textile.liquid
+ - admin/keep-recovering-data.html.textile.liquid
- Cloud:
- admin/spot-instances.html.textile.liquid
- admin/cloudtest.html.textile.liquid
If keep-balance instructs keepstore to trash a block which is older than @BlobSigningTTL@, and @BlobTrashLifetime@ is non-zero, the block will be moved to "trash". A block which is in the trash is no longer accessible by read requests, but has not yet been permanently deleted. Blocks which are in the trash may be recovered using the "untrash" API endpoint. Blocks are permanently deleted after they have been in the trash for the duration in @BlobTrashLifetime@.
-Keep-balance is also responsible for balancing the distribution of blocks across keepstore servers by asking servers to pull blocks from other servers (as determined by their "storage class":{{site.baseurl}}/admin/storage-classes.html and "rendezvous hashing order":{{site.baseurl}}/api/storage.html). Pulling a block makes a copy. If a block is overreplicated (i.e. there are excess copies) after pulling, it will be subsequently trashed and deleted on the original server, subject to @BlobTrash@ and @BlobTrashLifetime@ settings.
+Keep-balance is also responsible for balancing the distribution of blocks across keepstore servers by asking servers to pull blocks from other servers (as determined by their "storage class":{{site.baseurl}}/admin/storage-classes.html and "rendezvous hashing order":{{site.baseurl}}/architecture/keep-clients.html#rendezvous). Pulling a block makes a copy. If a block is overreplicated (i.e. there are excess copies) after pulling, it will be subsequently trashed and deleted on the original server, subject to @BlobTrash@ and @BlobTrashLifetime@ settings.
h3. Scanning
h3. Limitations
-Keep-balance does not attempt to discover whether committed pull and trash requests ever get carried out -- only that they are accepted by the Keep services. If some services are full, new copies of under-replicated blocks might never get made, only repeatedly requested.
\ No newline at end of file
+Keep-balance does not attempt to discover whether committed pull and trash requests ever get carried out -- only that they are accepted by the Keep services. If some services are full, new copies of under-replicated blocks might never get made, only repeatedly requested.
--- /dev/null
+---
+layout: default
+navsection: admin
+title: "Recovering data"
+...
+
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
+
+Arvados has several features to prevent accidental loss or deletion of data, but accidents can happen. This page lays out the options to recover deleted or overwritten collections.
+
+For more detail on the data lifecycle in Arvados, see the "Data lifecycle":{{ site.baseurl }}/architecture/keep-data-lifecycle.html page.
+
+h2(#check_the_trash). Check the trash
+
+When a collection is deleted, it is moved to the trash. It will remain there for the duration of @Collections.DefaultTrashLifetime@, and it can be untrashed via workbench or with the cli tools, as described in "Recovering trashed collections":{{ site.baseurl }}/user/tutorials/tutorial-keep-collection-lifecycle.html#trash-recovery.
+
+h2(#check_other_collections). Check for other collections with the same PDH
+
+Multiple collections may share a _portable data hash_, i.e. have the same contents. If another collection exists with the same portable data hash, recovering data is not necessary, everything is still stored in Keep. A new copy of the collection can be made to make the data available in the correct project and with the correct permissions.
+
+h2(#check_collection_versioning). Consider collection versioning
+
+Arvados supports collection versioning. If it has been "enabled":{{ site.baseurl }}/admin/collection-versioning.html on your cluster, the deleted collection may be recoverable from an older version. See "Using collection versioning":{{ site.baseurl }}/user/topics/collection-versioning.html for details.
+
+h2(#recover_collection). Recovering collections
+
+When all the above options fail, it may still be possible to recover a collection that has been deleted.
+
+To recover a collection the manifest is required. Arvados has a built-in audit log, which consists of a row added to the "logs" table in the PostgreSQL database each time an Arvados object is created, modified, or deleted. Collection manifests are included, unless they are listed in the @AuditLogs.UnloggedAttributes@ configuration parameter. The audit log is retained for up to @AuditLogs.MaxAge@.
+
+In some cases, it is possible to recover files that have been lost by modifying or deleting a collection.
+
+Possibility of recovery depends on many factors, including:
+* Whether the collection manifest is still available, e.g., in an audit log entry
+* Whether the data blocks are also referenced by other collections
+* Whether the data blocks have been unreferenced long enough to be marked for deletion/trash by keep-balance
+* Blob signature TTL, trash lifetime, trash check interval, and other config settings
+
+To attempt recovery of a previous version of a deleted/modified collection, use the @arvados-server recover-collection@ command. It should be run on one of your server nodes where the @arvados-server@ package is installed and the @/etc/arvados/config.yml@ file is up to date.
+
+Specify the collection you want to recover by passing either the UUID of an audit log entry, or a file containing the manifest.
+
+If recovery is successful, the @recover-collection@ program saves the recovered data a new collection belonging to the system user, and prints the new collection's UUID on stdout.
+
+<pre>
+# arvados-server recover-collection 9tee4-57u5n-nb5awmk1pahac2t
+INFO[2020-06-05T19:52:29.557761245Z] loaded log entry logged_event_time="2020-06-05 16:48:01.438791 +0000 UTC" logged_event_type=update old_collection_uuid=9tee4-4zz18-1ex26g95epmgw5w src=9tee4-57u5n-nb5awmk1pahac2t
+INFO[2020-06-05T19:52:29.642145127Z] recovery succeeded UUID=9tee4-4zz18-5trfp4k4xxg97f1 src=9tee4-57u5n-nb5awmk1pahac2t
+9tee4-4zz18-5trfp4k4xxg97f1
+INFO[2020-06-05T19:52:29.644699436Z] exiting
+</pre>
+
+In this example, the original data has been restored and saved in a new collection with UUID @9tee4-4zz18-5trfp4k4xxg97f1@.
+
+For more options, run @arvados-server recover-collection -help@.
+
+h2(#untrashing_lost_blocks). Untrashing lost blocks
+
+In some cases it is possible to recover data blocks that were trashed erroneously by @keep-balance@ (e.g. due to an install/config error).
+
+If you suspect blocks have been trashed erroneously, you should immediately:
+
+* On all keepstore servers: set @BlobTrashCheckInterval@ to a long time like 2400h
+* On all keepstore servers: restart keepstore
+* Stop the keep-balance service
+
+When you think you have corrected the underlying problem, you should:
+
+* Set @Collections.BlobMissingReport@ to a suitable value (perhaps "/tmp/keep-balance-lost-blocks.txt").
+* Start @keep-balance@
+* After @keep-balance@ completes its first sweep, inspect /tmp/keep-balance-lost-blocks.txt. If it's not empty, you can request all keepstores to untrash any blocks that are still recoverable with a script like this:
+
+<notextile>
+<pre><code>
+#!/bin/bash
+set -e
+
+# see Client.AuthToken in /etc/arvados/keep-balance/keep-balance.yml
+token=xxxxxxx-your-system-auth-token-xxxxxxx
+
+# all keep server hostnames
+hosts=(keep0 keep1 keep2 keep3 keep4 keep5)
+
+while read hash pdhs; do
+ echo "${hash}"
+ for h in ${hosts[@]}; do
+ if curl -fgs -H "Authorization: Bearer $token" -X PUT "http://${h}:25107/untrash/$hash"; then
+ echo "${hash} ok ${host}"
+ fi
+ done
+done < /tmp/keep-balance-lost-blocks.txt
+</code>
+</pre>
+</notextile>
+
+Any blocks which were successfully untrashed can be removed from the list of blocks and collections which need to be recovered.
+
+h2(#regenerating_lost_blocks). Regenerating lost blocks
+
+For blocks which were trashed long enough ago that they've been deleted, it may be possible to regenerate them by rerunning the workflows which generated them. To do this, the process is:
+
+* Delete the affected collections so that job reuse doesn't attempt to reuse them (it's likely that if one block is missing, they all are, so they're unlikely to contain any useful data)
+* Resubmit any container requests for which you want the output collections regenerated
+
+The Arvados repository contains a tool that can be used to generate a report to help with this task at "arvados/tools/keep-xref/keep-xref.py":https://github.com/arvados/arvados/blob/master/tools/keep-xref/keep-xref.py
+++ /dev/null
----
-layout: default
-navsection: admin
-title: Recovering deleted collections
-...
-
-{% comment %}
-Copyright (C) The Arvados Authors. All rights reserved.
-
-SPDX-License-Identifier: CC-BY-SA-3.0
-{% endcomment %}
-
-In some cases, it is possible to recover files that have been lost by modifying or deleting a collection.
-
-Possibility of recovery depends on many factors, including:
-* Whether the collection manifest is still available, e.g., in an audit log entry
-* Whether the data blocks are also referenced by other collections
-* Whether the data blocks have been unreferenced long enough to be marked for deletion/trash by keep-balance
-* Blob signature TTL, trash lifetime, trash check interval, and other config settings
-
-To attempt recovery of a previous version of a deleted/modified collection, use the @arvados-server recover-collection@ command. It should be run on one of your server nodes where the @arvados-server@ package is installed and the @/etc/arvados/config.yml@ file is up to date.
-
-Specify the collection you want to recover by passing either the UUID of an audit log entry, or a file containing the manifest.
-
-If recovery is successful, the @recover-collection@ program saves the recovered data a new collection belonging to the system user, and prints the new collection's UUID on stdout.
-
-<pre>
-# arvados-server recover-collection 9tee4-57u5n-nb5awmk1pahac2t
-INFO[2020-06-05T19:52:29.557761245Z] loaded log entry logged_event_time="2020-06-05 16:48:01.438791 +0000 UTC" logged_event_type=update old_collection_uuid=9tee4-4zz18-1ex26g95epmgw5w src=9tee4-57u5n-nb5awmk1pahac2t
-INFO[2020-06-05T19:52:29.642145127Z] recovery succeeded UUID=9tee4-4zz18-5trfp4k4xxg97f1 src=9tee4-57u5n-nb5awmk1pahac2t
-9tee4-4zz18-5trfp4k4xxg97f1
-INFO[2020-06-05T19:52:29.644699436Z] exiting
-</pre>
-
-In this example, the original data has been restored and saved in a new collection with UUID @9tee4-4zz18-5trfp4k4xxg97f1@.
-
-For more options, run @arvados-server recover-collection -help@.
h2. Resource
-Collections describe sets of files in terms of data blocks stored in Keep. See "storage in Keep":{{site.baseurl}}/api/storage.html for details.
+Collections describe sets of files in terms of data blocks stored in Keep. See "Keep - Content-Addressable Storage":{{site.baseurl}}/architecture/storage.html for details.
Each collection has, in addition to the "Common resource fields":{{site.baseurl}}/api/resources.html:
h3. Collections and Keep block retrieval
-Each collection record has @manifest_text@, which describes how to reassemble keep blocks into files as described in the "Storage in Keep.":{{site.baseurl}}/api/storage.html. Each block identifier in the manifest has an added signature which is used to confirm permission to read the block. To read a block from a keepstore server, the client must provide the block identifier, the signature, and the same API token used to retrieve the collection record.
+Each collection record has @manifest_text@, which describes how to reassemble keep blocks into files as described in the "Manifest format":{{site.baseurl}}/architecture/manifest-format.html. Each block identifier in the manifest has an added signature which is used to confirm permission to read the block. To read a block from a keepstore server, the client must provide the block identifier, the signature, and the same API token used to retrieve the collection record.
-When a collection record is returned through a federation request, the keep blocks listed in the manifest may not be available on the local cluster, and the keep block signatures returned by the remote cluster are not valid for the local cluster. To solve this, arvados-controller rewrites the signatures in the manifest to "remote cluster" signatures.
-
-A local signature comes after the block identifier and block size, and starts with @+A@:
-
-<code>930625b054ce894ac40596c3f5a0d947+33+A1f27a35dd9af37191d63ad8eb8985624451e7b79@5835c8bc</code>
-
-A remote cluster signature starts with @+R@, then the cluster id of the cluster it originated from (@zzzzz@ in this example), a dash, and then the original signature:
-
-<code>930625b054ce894ac40596c3f5a0d947+33+Rzzzzz-1f27a35dd9af37191d63ad8eb8985624451e7b79@5835c8bc</code>
-
-When the client provides a remote-signed block locator to keepstore, the keepstore proxies the request to the remote cluster.
-
-# keepstore determines the cluster id to contact from the first part of the @+R@ signature
-# creates a salted token using the API token and cluster id
-# contacts the "accessible" endpoint on the remote cluster to determine the remote cluster's keepstore or keepproxy hosts
-# converts the remote signature @+R@ back to a local signature @+A@
-# contacts the remote keepstore or keepproxy host and requests the block using the local signature
-# returns the block contents back to the client
+See "Federation signatures":{{site.baseurl}}/architecture/manifest-format.html#federationsignatures for details on how federation affects block signatures.
--- /dev/null
+---
+layout: default
+navsection: architecture
+title: Keep clients
+...
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
+
+Keep clients are applications such as @arv-get@, @arv-put@ and @arv-mount@ which store and retrieve data from Keep. In doing so, these programs interact with both the API server (which stores file metadata in the form of @collection@ objects) and individual @keepstore@ servers (which store the actual data blocks).
+
+!(full-width){{site.baseurl}}/images/Keep_reading_writing_block.svg!
+
+h2. Storing a file
+
+# The client discovers keep servers (or proxies) using the @accessible@ method on "keep_services":{{site.baseurl}}/api/methods/keep_services.html
+# Data is split into 64 MiB blocks and the MD5 hash is computed for each block.
+# The client uploads each block to one or more Keep servers, based on the number of desired replicas. The priority order is determined using rendezvous hashing, described below.
+# The Keep server returns a block locator (the MD5 sum of the block) and a "signed token" which the client can use as proof of knowledge for the block.
+# The client constructs a @manifest@ which lists the blocks by MD5 hash and how to reassemble them into the original files.
+# The client creates a "collection":{{site.baseurl}}/api/methods/collections.html and provides the @manifest_text@
+# The API server accepts the collection after validating the signed tokens (proof of knowledge) for each block.
+
+h2. Fetching a file
+
+# The client requests a @collection@ object including @manifest_text@ from the APIs server
+# The server adds "token signatures" to the @manifest_text@ and returns it to the client.
+# The client discovers keep servers (or proxies) using the @accessible@ method on "keep_services":{{site.baseurl}}/api/methods/keep_services.html
+# For each data block, the client chooses the highest priority server using rendezvous hashing, described below.
+# The client sends the data block request to the keep server, along with the token signature from the API which proves to Keep servers that the client is permitted to read a given block.
+# The server provides the block data after validating the token signature for the block (if the server does not have the block, it returns a 404 and the client tries the next highest priority server)
+
+h2(#rendezvous). Rendezvous hashing
+!(full-width){{site.baseurl}}/images/Keep_rendezvous_hashing.svg!
+
+Each @keep_service@ resource has an assigned uuid. To determine priority assignments of blocks to servers, for each keep service compute the MD5 sum of the string concatenation of the block locator (hex-coded hash part only) and service uuid, then sort this list in descending order. Blocks are preferentially placed on servers with the highest weight.
+
--- /dev/null
+---
+layout: default
+navsection: architecture
+title: "Data lifecycle"
+...
+
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
+
+h2(#overview). Overview
+
+Arvados collections consist of a "manifest":{{site.baseurl}}/architecture/manifest-format.html and the data blocks referenced in that manifest. Manifests are stored in the PosgreSQL database, @data blocks@ are stored by a @keepstore@.
+
+Data blocks are frequently shared between collections. Each collection has its own @manifest@. Collection manifests and data blocks have a separate lifecycle, which is described in detail below.
+
+h2(#collection_lifecycle). Collection lifecycle
+
+During its lifetime, a collection can be in various states. These states are *persisted*, *expiring*, *trashed* and *permanently deleted*.
+
+The nominal state is *persisted* which means the data can be can be accessed normally and will be retained indefinitely.
+
+A collection is *expiring* when it has a *trash_at* time in the future. An expiring collection can be accessed as normal, but is scheduled to be trashed automatically at the *trash_at* time.
+
+A collection is *trashed* when it has a *trash_at* time in the past. The *is_trashed* attribute will also be "true". The delete operation immediately puts the collection in the trash by setting the *trash_at* time to "now", and *delete_at* defaults to "now" + @Collections.DefaultTrashLifetime@. Once trashed, the collection is no longer readable through normal data access APIs. The collection will have *delete_at* set to some time in the future. The trashed collection is recoverable until the *delete_at* time passes, at which point the collection is permanently deleted.
+
+See "Recovering trashed collections":{{ site.baseurl }}/user/tutorials/tutorial-keep-collection-lifecycle.html#trash-recovery for instructions to recover trashed collections.
+
+h3(#collection_attributes). Collection lifecycle attributes
+
+As listed above the attributes that are used to manage a collection lifecycle are *is_trashed*, *trash_at*, and *delete_at*. The table below lists the values of these attributes and how they influence the state of a collection and its accessibility.
+
+table(table table-bordered table-condensed).
+|_. collection state|_. is_trashed|_. trash_at|_. delete_at|_. get|_. list|_. list?include_trash=true|_. can be modified|
+|persisted collection|false |null |null |yes |yes |yes |yes |
+|expiring collection|false |future |future |yes |yes |yes |yes |
+|trashed collection|true |past |future |no |no |yes |only is_trashed, trash_at and delete_at attribtues|
+|deleted collection|true|past |past |no |no |no |no |
+
+h2(#block_lifecycle). Block lifecycle
+
+During its lifetime, a data block can be in various states. These states are *persisted*, *unreferenced*, *trashed* and *permanently deleted*.
+
+The nominal state is *persisted* which means the block can be can be retrieved normally from a @keepstore@ process.
+
+A block is *unreferenced* when there are no collection manifests in the PostgreSQL collections table that reference it. The block can still be retrieved normally from a @keepstore@ process, e.g. by creating a new collection with a manifest that references the hash of the block. Unreferenced blocks will be moved to the *trashed* state by @keep-balance@ after @BlobSigningTTL@, if @BlobTrash@ is enabled and @keep-balance@ is running and configured to send trash lists to the keepstores.
+
+A block is *trashed* when @keep-balance@ has asked a @keepstore@ to move it to its trash and @BlobTrash@ is enabled. It will stay there for a period of time, subject to the @BlobTrashLifetime@ settings.
+
+A block is *permanently deleted* on the first wakeup of its @keepstore@ trash process after the block has spent @BlobTrashLifetime@ in that keepstore's trash. The trash process wakes up with a frequency defined by the @BlobTrashCheckInterval@.
+
+table(table table-bordered table-condensed).
+|_. block state|_. duration|_. retrievable via Keep|_. can be recovered|
+|persisted block|indefinitely|yes |n/a |
+|unreferenced block|@BlobSigningTTL@ + up to @BalancePeriod@ + duration of keep-balance run|yes |n/a |
+|trashed block|@BlobTrashLifetime@ + up to @BlobTrashCheckInterval@|no |yes |
+|deleted block||no |no |
---
layout: default
navsection: architecture
-title: Storage in Keep
+title: Manifest format
...
{% comment %}
Copyright (C) The Arvados Authors. All rights reserved.
SPDX-License-Identifier: CC-BY-SA-3.0
{% endcomment %}
-Keep clients are applications such as @arv-get@, @arv-put@ and @arv-mount@ which store and retrieve data from Keep. In doing so, these programs interact with both the API server (which stores file metadata in form of Collection objects) and individual Keep servers (which store the actual data blocks).
-
-!(full-width){{site.baseurl}}/images/Keep_reading_writing_block.svg!
-
-h2. Storing a file
-
-# The client discovers keep servers (or proxies) using the @accessible@ method on "keep_services":{{site.baseurl}}/api/methods/keep_services.html
-# Data is split into 64 MiB blocks and the MD5 hash is computed for each block.
-# The client uploads each block to one or more Keep servers, based on the number of desired replicas. The priority order is determined using rendezvous hashing, described below.
-# The Keep server returns a block locator (the MD5 sum of the block) and a "signed token" which the client can use as proof of knowledge for the block.
-# The client constructs a @manifest@ which lists the blocks by MD5 hash and how to reassemble them into the original files.
-# The client creates a "collection":{{site.baseurl}}/api/methods/collections.html and provides the @manifest_text@
-# The API server accepts the collection after validating the signed tokens (proof of knowledge) for each block.
+Each collection record has a @manifest_text@ field, which describes how to reassemble keep blocks into files. Each block identifier in the manifest has an added signature which is used to confirm permission to read the block. To read a block from a keepstore server, the client must provide the block identifier, the signature, and the same API token used to retrieve the collection record.
!(full-width){{site.baseurl}}/images/Keep_manifests.svg!
-h2. Fetching a file
-
-# The client requests a @collection@ object including @manifest_text@ from the APIs server
-# The server adds "token signatures" to the @manifest_text@ and returns it to the client.
-# The client discovers keep servers (or proxies) using the @accessible@ method on "keep_services":{{site.baseurl}}/api/methods/keep_services.html
-# For each data block, the client chooses the highest priority server using rendezvous hashing, described below.
-# The client sends the data block request to the keep server, along with the token signature from the API which proves to Keep servers that the client is permitted to read a given block.
-# The server provides the block data after validating the token signature for the block (if the server does not have the block, it returns a 404 and the client tries the next highest priority server)
-
-!(full-width){{site.baseurl}}/images/Keep_rendezvous_hashing.svg!
-
-Each @keep_service@ resource has an assigned uuid. To determine priority assignments of blocks to servers, for each keep service compute the MD5 sum of the string concatenation of the block locator (hex-coded hash part only) and service uuid, then sort this list in descending order. Blocks are preferentially placed on servers with the highest weight.
-
-h2. Keep server API
-
-The Keep server is accessed via a simple HTTP REST API.
-
-*GET /blocklocator+size+A@token*
-
-Fetch the data block. Response returns block contents. If permission checking is enabled, requires a valid token hint.
-
-*PUT /blocklocator*
-
-Body: the block contents. Responds the block locator consisting of MD5 sum of the data, block size, and signed token hint.
-
-*POST /*
-
-Body: the block contents. Responds the block locator consisting of MD5 sum of the data, block size, and signed token hint.
-
-h2(#locator). Keep locator format
-
-BNF notation for a valid Keep locator string (with hints). For example @d41d8cd98f00b204e9800998ecf8427e+0+Z+Ada39a3ee5e6b4b0d3255bfef95601890afd80709@53bed294@
-
-<pre>
-locator ::= sized-digest hint*
-sized-digest ::= digest size-hint
-digest ::= <32 lowercase hexadecimal digits>
-size-hint ::= "+" [0-9]+
-hint ::= "+" hint-type hint-content
-hint-type ::= [A-Z]+
-hint-content ::= [A-Za-z0-9@_-]*
-sign-hint ::= "+A" <40 lowercase hexadecimal digits> "@" sign-timestamp
-sign-timestamp ::= <8 lowercase hexadecimal digits>
-</pre>
-
-h3. Token signatures
-
-A token signature (sign-hint) provides proof-of-access for a data block. It is computed by taking a SHA1 HMAC of the blob signing token (a shared secret between the API server and keep servers), block digest, current API token, expiration timestamp, and blob signature TTL.
-
-When communicating with the Keep store to fetch a block, or the API server to create or update a collection, the service computes the expected token signature for each block and compares it to the token signature that was presented by the client. Keep clients receive valid block signatures when uploading a block to a keep store (getting back a signed token as proof of knowledge) or, from the API server, getting the manifest text of a collection on which the user has read permission.
-
-Security of a token signature is derived from the following characteristics:
-
-# Valid signatures can only be generated by entities that know the shared secret (the "blob signing token")
-# A signature can only be used by an entity that also know the API token that was used to generate it.
-# It expires after a set date (the expiration time, based on the "blob signature time-to-live (TTL)")
-
-h3. Regular expression to validate locator
-
-<pre>
-/^([0-9a-f]{32})\+([0-9]+)(\+[A-Z][-A-Za-z0-9@_]*)*$/
-</pre>
-
-h3. Valid locators
-
-table(table table-bordered table-condensed).
-|@d41d8cd98f00b204e9800998ecf8427e+0@|
-|@d41d8cd98f00b204e9800998ecf8427e+0+Z@|
-|<code>d41d8cd98f00b204e9800998ecf8427e+0+Z+Ada39a3ee5e6b4b0d3255bfef95601890afd80709@53bed294</code>|
-
-h3. Invalid locators
-
-table(table table-bordered table-condensed).
-||Why|
-|@d41d8cd98f00b204e9800998ecf8427e@|No size hint|
-|@d41d8cd98f00b204e9800998ecf8427e+Z+0@|Other hint before size hint|
-|@d41d8cd98f00b204e9800998ecf8427e+0+0@|Multiple size hints|
-|@d41d8cd98f00b204e9800998ecf8427e+0+z@|Hint does not start with uppercase letter|
-|@d41d8cd98f00b204e9800998ecf8427e+0+Zfoo*bar@|Hint contains invalid character @*@|
-
h2. Manifest v1
A manifest is utf-8 encoded text, consisting of zero or more newline-terminated streams.
<pre>
. c449ed86671e4a34a8b8b9430850beba+67108864 09fcfea01c3a141b89dd0dcfa1b7768e+22534144 0:89643008:Docker\040image.tar
</pre>
+h2(#locator). Keep locator format
+
+BNF notation for a valid Keep locator string (with hints). For example: *d41d8cd98f00b204e9800998ecf8427e+0+Z+Ada39a3ee5e6b4b0d3255bfef95601890afd80709@53bed294*
+
+<pre>
+locator ::= sized-digest hint*
+sized-digest ::= digest size-hint
+digest ::= <32 lowercase hexadecimal digits>
+size-hint ::= "+" [0-9]+
+hint ::= "+" hint-type hint-content
+hint-type ::= [A-Z]+
+hint-content ::= [A-Za-z0-9@_-]*
+sign-hint ::= "+A" <40 lowercase hexadecimal digits> "@" sign-timestamp
+remote-sign-hint ::= "+R" [A-Za-z0-9]{5} "-" <40 lowercase hexadecimal digits> "@" sign-timestamp
+sign-timestamp ::= <8 lowercase hexadecimal digits>
+</pre>
+
+h3. Regular expression to validate locator
+
+<pre>
+/^([0-9a-f]{32})\+([0-9]+)(\+[A-Z][-A-Za-z0-9@_]*)*$/
+</pre>
+
+h3. Valid locators
+
+table(table table-bordered table-condensed).
+|@d41d8cd98f00b204e9800998ecf8427e+0@|
+|@d41d8cd98f00b204e9800998ecf8427e+0+Z@|
+|<code>d41d8cd98f00b204e9800998ecf8427e+0+Z+Ada39a3ee5e6b4b0d3255bfef95601890afd80709@53bed294</code>|
+|<code>930625b054ce894ac40596c3f5a0d947+33+Rzzzzz-1f27a35dd9af37191d63ad8eb8985624451e7b79@5835c8bc</code>|
+
+h3. Invalid locators
+
+table(table table-bordered table-condensed).
+||Why|
+|@d41d8cd98f00b204e9800998ecf8427e@|No size hint|
+|@d41d8cd98f00b204e9800998ecf8427e+Z+0@|Other hint before size hint|
+|@d41d8cd98f00b204e9800998ecf8427e+0+0@|Multiple size hints|
+|@d41d8cd98f00b204e9800998ecf8427e+0+z@|Hint does not start with uppercase letter|
+|@d41d8cd98f00b204e9800998ecf8427e+0+Zfoo*bar@|Hint contains invalid character @*@|
+
+h3. Token signatures
+
+A token signature (sign-hint) provides proof-of-access for a data block. It is computed by taking a SHA1 HMAC of the blob signing token (a shared secret between the API server and keep servers), block digest, current API token, expiration timestamp, and blob signature TTL.
+
+When communicating with the @keepstore@ to fetch a block, or the API server to create or update a collection, the service computes the expected token signature for each block and compares it to the token signature that was presented by the client. Keep clients receive valid block signatures when uploading a block to a keep store (getting back a signed token as proof of knowledge) or, from the API server, getting the manifest text of a collection on which the user has read permission.
+
+Security of a token signature is derived from the following characteristics:
+
+# Valid signatures can only be generated by entities that know the shared secret (the "blob signing token")
+# A signature can only be used by an entity that also know the API token that was used to generate it.
+# It expires after a set date (the expiration time, based on the "blob signature time-to-live (TTL)")
+
+h3(#federationsignatures). Federation and signatures
+
+When a collection record is returned through a federation request, the keep blocks listed in the manifest may not be available on the local cluster, and the keep block signatures returned by the remote cluster are not valid for the local cluster. To solve this, @arvados-controller@ rewrites the signatures in the manifest to "remote cluster" signatures.
+
+A local signature comes after the block identifier and block size, and starts with @+A@:
+
+<code>930625b054ce894ac40596c3f5a0d947+33+A1f27a35dd9af37191d63ad8eb8985624451e7b79@5835c8bc</code>
+
+A remote cluster signature starts with @+R@, then the cluster id of the cluster it originated from (@zzzzz@ in this example), a dash, and then the original signature:
+
+<code>930625b054ce894ac40596c3f5a0d947+33+Rzzzzz-1f27a35dd9af37191d63ad8eb8985624451e7b79@5835c8bc</code>
+
+When the client provides a remote-signed block locator to keepstore, the keepstore proxies the request to the remote cluster.
+
+# keepstore determines the cluster id to contact from the first part of the @+R@ signature
+# creates a salted token using the API token and cluster id
+# contacts the "accessible" endpoint on the remote cluster to determine the remote cluster's keepstore or keepproxy hosts
+# converts the remote signature @+R@ back to a local signature @+A@
+# contacts the remote keepstore or keepproxy host and requests the block using the local signature
+# returns the block contents back to the client
+
+h3(#example). Example
+
+This example uses @c1bad4b39ca5a924e481008009d94e32+210@, which is the content hash of a @collection@ that was added to Keep in "how to upload data":{{ site.baseurl }}/user/tutorials/tutorial-keep.html. Get the collection manifest using @arv-get@:
+
+<notextile>
+<pre><code>~$ <span class="userinput">arv-get c1bad4b39ca5a924e481008009d94e32+210</span>
+. 204e43b8a1185621ca55a94839582e6f+67108864+Aasignatureforthisblockaaaaaaaaaaaaaaaaaa@5f612ee6 b9677abbac956bd3e86b1deb28dfac03+67108864+Aasignatureforthisblockbbbbbbbbbbbbbbbbbb@5f612ee6 fc15aff2a762b13f521baf042140acec+67108864+Aasignatureforthisblockcccccccccccccccccc@5f612ee6 323d2a3ce20370c4ca1d3462a344f8fd+25885655+Aasignatureforthisblockdddddddddddddddddd@5f612ee6 0:227212247:var-GS000016015-ASM.tsv.bz2
+</code></pre>
+</notextile>
+
+This collection includes a single file @var-GS000016015-ASM.tsv.bz2@ which is 227212247 bytes long. It is stored using four sequential data blocks with hashes @204e43b8a1185621ca55a94839582e6f+67108864@, @b9677abbac956bd3e86b1deb28dfac03+67108864@, @fc15aff2a762b13f521baf042140acec+67108864@, and @323d2a3ce20370c4ca1d3462a344f8fd+25885655@. Each of the block hashes is followed by the rest of their "locator":#locator.
+
+Use @arv-get@ to download the first data block:
+
+notextile. <pre><code>~$ <span class="userinput">arv-get 204e43b8a1185621ca55a94839582e6f+67108864+Aasignatureforthisblockaaaaaaaaaaaaaaaaaa@5f612ee6 > block1</span></code></pre>
+
+Inspect the size and compute the MD5 hash of @block1@:
+
+<notextile>
+<pre><code>~$ <span class="userinput">ls -l block1</span>
+-rw-r--r-- 1 you group 67108864 Dec 9 20:14 block1
+~$ <span class="userinput">md5sum block1</span>
+204e43b8a1185621ca55a94839582e6f block1
+</code></pre>
+</notextile>
+
+As expected, the md5sum of the contents of the block matches the @digest@ part of the "locator":#locator, and the size of the contents matches the @size-hint@.
--- /dev/null
+---
+layout: default
+navsection: architecture
+title: Introduction to Keep
+...
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
+
+Keep is a content-addressable storage system that yields high performance for I/O-bound workloads. Keep is designed to run on low-cost commodity hardware or cloud services and is tightly integrated with the rest of the Arvados system. It provides high fault tolerance and high aggregate performance to a large number of clients.
+
+h2. Design goals and core features
+
+* *Scale* - Keep installations are managing petabytes of data today. Keep scales horizontally.
+
+* *Data deduplication* - Keep automatically deduplicates data through its use of content addressing.
+
+* *Flexibility* - Keep can store data in S3, S3-compatible storage systems (e.g. Ceph) and Azure blob storage. Keep can also store data on POSIX file systems.
+
+* *Fault-Tolerance* - Errors and failure are expected. Keep has redundancy and recovery capabilities at its core.
+
+* *Optimized for Aggregate Throughput* - Like S3 and Azure blob storage, Keep is optimized for aggregate throughput. This is optimal in a scenario with many reader/writer processes.
+
+* *Complex Data Management* - Keep operates well in environments where there are many independent users accessing the same data or users who want to organize data in many different ways. Keep facilitates data sharing without expecting users either to agree with one another about directory structures or to create redundant copies of the data.
+
+* *Security* - Keep works well combined with encryption at rest and transport encryption. All data is managed through @collection@ objects, which implement a rich "permission model":{{site.baseurl}}/api/permission-model.html.
+
+h2. How Keep works
+
+Keep is a content-addressable file system. This means that files are managed using special unique identifiers derived from the _contents_ of the file (specifically, the MD5 hash), rather than human-assigned file names. This has a number of advantages:
+* Files can be stored and replicated across a cluster of servers without requiring a central name server.
+* Both the server and client systematically validate data integrity because the checksum is built into the identifier.
+* Data duplication is minimized—two files with the same contents will have in the same identifier, and will not be stored twice.
+* It avoids data race conditions, since an identifier always points to the same data.
+
+In Keep, information is stored in @data blocks@. Data blocks are normally between 1 byte and 64 megabytes in size. If a file exceeds the maximum size of a single data block, the file will be split across multiple data blocks until the entire file can be stored. These data blocks may be stored and replicated across multiple disks, servers, or clusters. Each data block has its own identifier for the contents of that specific data block.
+
+In order to reassemble the file, Keep stores a @collection@ manifest which lists in sequence the data blocks that make up the original file. A @manifest@ may store the information for multiple files, including a directory structure. See "manifest format":{{site.baseurl}}/architecture/manifest-format.html for more information on how manifests are structured.
-<?xml version="1.0" standalone="yes"?>
-<!-- Copyright (C) The Arvados Authors. All rights reserved.
-
-SPDX-License-Identifier: CC-BY-SA-3.0 -->
-
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9kt+s4S52HhCXJqYaZ1JRb35aTTNptH519eXbs4fno+FSRDGX16u7PZOuqEhnLmM5L4qm/X/nFr7Pro+2GEinB1Po6h3oUS1WBdc3oYwkAAABQHaxJ+putqkq2zcvVYX/7smDZJi9hewMRKieW1tQ2bg671ctXUkIsi2XLIM5rfiCVSXQOe/25To3OYdEQRTzcz7poOV2fAz6i0y+3PFpOwq2Bk6YF12J3tEy7P8ZF4/UkGYpYqlmozlXVSjV1zBNLiZpuDyt0cSVT4iVRuuba691td9yVKxYSqrxj0DqqAurfPHGxY5SUlToXiau2E1f9JHWSr1JVsg1PPJPtQ9cgvF3bkwTGy0+75NLsPquUSpok1XnNi7Vd7T+UZP0bN+HV9dF1irehiq2EU9FxxtchFEvtT8tJcK3qmhf9WKDldBzFmrbaMtrnngNHioql7tMytmzYpFf3aXldQ/14oP/b/nQe+nu4TYARSwAAAICRi6UqZzNCl/BSJAFr87epiqZqWljNKyeWSXJyc9gWv78VZcRyZzJwupHtSf+AQJvLnNdGv1ze6LFLk4FVVDuH5mGI5Rb/97ScZdf7+2Z4OTzuhX1ZUrzv5Ot+OYnqnGp5kgxFLNUsdPnd92cCYBW/vCarkoC8Zpqq2qkiV0oOtK6qfnmCpmahWl8SU0xctA9VRXWMqjpKmqwCGAqMNUM1UdN2SsmVRccu6ZEoajuxrOrYQ5mLK7DaT5JT0bUkvglxWBXd3vdW7rXUdu1vLSNZjX+s0TISuFgsJeBW9VUku3EFNG+bWkf9W8ProWMJl9H1l/TGj4+aQauJcrisBNmOT8+l+PhNyO24h1OlRSwBAAAAKiOWG0sI2CIvkxKeldEygxHLuDnsYr+ttjJi2ZVzTJK/HUnp0WbFrqT4AD9d/r41wTkcGuT1isWyLyldXQ2XXZ70T89i/TDXRlI61x+LLaMvnFv9NawJscxrSlqqL2QYVTC1vJqB5t3/vRd/mm1T1VDJUDzgjQRFt1uFs5hYSlQkfvo3fKwkaya0qkbqNvWBVIU1XFbHFzZlLdaUNK4iWtVO21KFUs1VFUmWbtP5mYhpffXvzBu0Rvdp0KOwyWyepNv527FKAHV9JG9aXpGw6TZdj/j4dfs3H3/6RKXUBgdSxdPkW1Jny2l7Em+rFFtfWftb11LrhMuEj4+2q+3r8bVrof1KuO3HglIVSz03JKth02PEEgAAAGBsWJyc3OQ1T8BM9g4FIqjYIDP6f28RsVTzU1XqrDns9mTgdCFDHbynM9p+JcTy4AjFckmJtIWO5oVdTY6PJv3V4jmRPKuJ7WYvn/YFfPV4PUnGQixV+dJgNZKUuHpoCfttSkzCJpeSGsmGhMskK08sTcy0n6+ufSTblyRGldZQ5qwyJgGU9KkKq/O56XNLT9weVyPDPo+So2LVTGsiHEYVvlAOQ5nKa8ZrVTqr+pXrw6jj0rlZE9q4yqzl7HxMLONBgqwZrpor20i0ectpXzo+nZMeo3Cd8PHSMuHjo8dU5xz/EKDtqVoa/uCg87ZrQB9LAAAAgPFnlv9iuz7nvkVJf8VyaTKwWarlcCB5q4qIpdiQ9DerfS8ZOOrqUMWyaxBiaU1hZ+TctywZ2KdyJGJpTWE7cpbVbdO8WLf4ax02t20KjsWa9k7P2ZbWO+JFtC7FUtVBk8q8fpehFEoytF2rslmTUsmQ5CPs95gnllpeQmQVsbjpqJaXzJlYhhW6uKKnZrfxNiSruk+VyLwpViRE2qbul2TqeFQR1W3h4D06BpuGRc1dJW+qqOo6qamoxHYoYpl3LLpWuhaS8XA5O7+8qqyW1TGEzXCL/RAQymc8CFEoybZfG7hJ1z6ORD3sU4tYAgAAAFQf+70gxvM3qo9j2GQ1j8E0hRVWZdzpxbJ1mGLZnPSP9lqqKawNqhMP9COZ25ecPHjPcMVyYVJ8kKBwP9asOJ7GZFqw/lR/vfPm/dxbr2KpZouSJ0lDKaksJnBqXmkSJlGRpFisuaW2O5i5Em0kVW3bmuXmDX4j4UpyqnAmXjqfvD6iahqa+OpkfJ+a7ybRSLM6Buu/qPNTxU7nJaGy47JzLNUU1uRb66riapXCxPebtD6NsVgWG43V7rPtl7qmNlBT3nMgHn02Kd+sHLEEAAAAqGK6vdDs97Kmv3uTgc1FRyqWwvoOxuJUTCz3Jv1zTFqs+ehuL2+lsHPY6s9JEmhTd8TTjQxXLMWuYD8S2gXBdbHmq63+/I8l/VOJqGL6hr/2ndG52xQp3cFt6+pNLCVwEiZVqfIGn7F+fHmSZs0yJTcmKKUyGAmx41V10ORRzUTLDaBjsWafxdax48y7HlYhVZPbcgMDaTkJov62ZrV5VUM1p7Uqn+RSlUaJpM39qKpt3uisdpx5shpuMxbXvNgcm3n9HvPEUtsPfxyIg1gCAAAAVDddXuTCQWNWDWK93hwpa/e3xc1r1/rb4/kxdycDp9hYnwzsxxlGEqfRZAczgmuTl7EjwXkdSE6udPYmJ0/xUYyF/jjmBre1+GM+GuxHEhkPdDTdH384gM9eL4/htjZ7AQ0fi9WDEOmaEkurDkokig2EI/HRMjYya56IqdIXTp8RRttOfFXTBqGRNOo2+7tU1VDiEs6pGfYHTXKmErHzLTYqqVVZ85qF6ngSXy2165NX2bTlbBvW1DQeKEjCqMqp9Rm1661rEW9Ty+SJZdxcWNsMpzCRBBd7fHXtJdilhNmmlrH9qrmrqqd5QqvrEl43xBIAAACgulFzzI46PK/25OSmvqO1n7YyyzT7a9xaZrmOpPi0JDUtlurbp0qlmo2WmlbEBniRzIRNWbWOBurJ6/9Yro+hljehDQVGsmiD7tjtxfpSmhDF+7Y+h8Xmt9Rx6JjVvDU8b/3fRly1Y1VFUn+H21JlUMenvqU20I7JXnwtrQmqCacJdTzQjh4bm1IkFks1sw2XNZE0cdY1s76h4bVUddLEW7dLziWM4Q8IOi9VT8P92vZjCbUmxOUG79F2dD6lRuwNH28tG1db9bduz6ugW3/P4e4TsQQAAACAxv61ocJiaaOQlorJhiTF+gFKVFRVlKjkSdJgB6+x5qMaAEdVQQmh5EwVvrBKJ2mzqqckS8IloU1yqpXh4D95Fbe4aqlziM/HqpXh1CnhedvUHnFfVMljeD52fcPBgCTmWldRX1Tt64Zbl2TX1vpxmsSaWGp/Ol/9rWa/dh3C87NlJbbat21TAmzSpj6w4bnoetvgS+HjE15v/att6zGUvKoZb7mmsEOZx9KeG/Fz0yqseXOIJlE/z0rNnYlYAgAAAABiWWZeSn1Bj6s/kgvdXiqa6zCsbqlKKAGTTEhuwkFuSvXvi7cVypjES9uTBKlCmDd6qmRH1T/Jlw2aU0wiJBmStnLHpWPXOWh7dj55Axep36Sdt6L/F6uGSsDVpFXbk2DqWOLpUFRh1b60LZ2ztqfbFF0nu6aa21J/S0Zt/zp/iXyeNKuiKPG0fevxjSuB4WMoCVXTXNtP+Pho+9qPxFLb07LaXvwY6jGJ5d62N5hBoOy5ET839bduzxvx156bw90nYgkAAAAAiGUd9GUjhD6WAAAAAACIJSGIJQAAAAAAYkkIQSwBAAAAALEkhCCWAAAAAACIJSGIJQAAAAAAYkkIYgkAAAAAgFiORzR1heZF1FyKZ5zV6n5rylR3znlt7kMfnj6oaUwIQSwBAAAAABpQLH/81jvZnIO33XFXNhfl+e0XnZjwvqmpyU1NRfPZl19DdAhiCQAAAACAWB5zew4cySasv+u+h9w1117vzjv//a717Cnuk/M+7Zbffb/btHW7u/Orf54JZcsZZ7pr5l/vXt3/GySHIJYAAAAAAI0qltt27XEPPvq4u+ULy9wll83MmrheOnO2W7x0uXvosSfcC6/8/KR1Xt7ztmtufl+2HnJDEEsAAAAAgAYSS/WP/NZTP3BfvPMr7squT7kzzjzLXdjxITf/xlvc3Q98w33vxZ9mFcvBbEtyidgQxBIAAAAAoI7FUoIoUZQwdl93UyaQEkkJpcRSginRRE4IYgkAAAAAgFhmUZNVNV1VE1Y1ZVWTVjVtVRNXNVnd3vcWIkIQSwAAAAAAxLKQV37x62wQHQ2mo0F1NLiOBtnRYDuqUGrwncE2aSUEsQQAAKgNZqXpTNPGpQBALIeaN9896p7Z+ar76tpHsr6QHRd/JKtGfqLz6mz6D00DoulAkAyCWAIAAAwPm0dte5nl9vrl+kbxWDr8PnqC21qDfSu9o7DfpjRLeCoA1I9Y/vC1X7pvPv501qT1Y5df4U6f2Jw1ab3h1iVuzcObMslEKAhBLAEAoPJi+V6aliLLTAuWG02xbE9zMM364Lblfr9b08xPCpXLSrPd7xcAalAsNf/jt3t3uDvvedBd3f0ZN+Wc87Lo/7pty7MvMUckIYglAACMgVju9v8uLrLM6jRHxkAs81jj9zttFPfRh1gC1I5YqtqoqqOqj9MuuTSrRqoq+fllK7IqJVN4EIJYAgDA+IjlWi+OxZrD7kuzpYRYdqVZ4SVwWY4Edvhl7P8rvKzOi5Zr9stND7bb4/e7KNiGMSMpVDS134V+/SRnm/P9/lb6fTZFx66mtoejfQNAdaB+1QveN2ny8TlXXJX1i5RMXnfz4qy/pCRT/SeRA0IQSwAAGH+xXOPFMa857Cy/zLwcsZzmpVO3H036q5rHvTwaVnVc5u9zQXYFoteRDOxj6XKS+OU3J/1NeA/5/+vfucF+1bT2gL/vsD9G50VyapF99PCUABg39P7T6X8E2uZf03pf2TFpcstxNXfVSK6IACGIJQAAVK9YmjjGzWHX+i93TTliucuLXXdwm6qIByNJNbHUB9dCvy2J3Y6kvxqZJ5bhuh05t21M+quUM7xESiBb/W1b/XHMCdZdlvRXaQ2awgKMD3rdLvGvZf3gcyzN62k2+PeFE60fxmoeS0IQSwAAgJGJZVOS3xz2gP+Sl0Ri2eTFbU3ONtdHMmgiuCpabk6w/8GKpURSlcc3cvbb7ZddEQjjkeTkKqzksguxBBhT9GPSfP+jzi7/Oj7g30dW+PeD5qIrI5aEIJYAAFATYinUvPS9pL+ZqIlfZ45YxqgflJqhLvfSlyeWXdE6HcMQy7lJ/7QjXVFMLLdH66riutHfn/fFFbEEqCzN/rW6wr9WD3iR3OnFUoLZOiQrRSwJQSwBAKBmxLLT/73U/73BfyFMiohlh//SaH0Xra/lgVEUy64kv+9lmLCqagMThdOq6JjbEUuAiqEmq4v9e8Yb/nW21/+go9tHPCgWYkkIYgnQCOjLuPqIzCixzEK/TF7mJSdXUVr8fd1l9t3ml5vGwwAVEEuh6t6u4P9ri4hls79fXyDXpVkQfHlcMwZiudbflpe2aD8SzLl+W68n/QP4IJYAQ6fVfzbp9bTD/5ik148G21nhPxObK71TxJIQxBKgEbARKV8vsczBpHSF5XDS39ww/IJdbs5A+5K9hIcBKiSWG5L+AXl036wiYrkwZ11j2yiKZVsysLlr/EPLumA/K4u8Nnb5bbQjlgAl0Y8yahKvJu7qC7k/KQywsyv4QaltLA4EsSQEsQSod+zLt00wP6OMWHZE0RdgDWhy3P/q24pYwjiLpTWH1XN2b86ysViui5bpTPqnFJkzCmIpdvrbFkbbszkvbWRbfQk+En3xbfLnpddbcyCWR5KB81sCNCId/nW1wX+uWZNWTUe0NCndMgexJASxBIAR0Os/eG2uv41lxLIYG5L+ef4QSxhPsRRWhV9dQiyb/fP6uH8daBvb/OvBKoLzR0ks24PX1C6//F7/97bohx/70abXL7c/eq0l/nVr06Fs5CkBDYK6XKgrhn7c3O6f/4f8/1f612tLtRwsYkkIYglQz0z1X6KtSZ5+3T1W5IO4nFguKfIFe7BiudSvu9/vS02W8gZLmOHvO+CX25kM7Mc51X/51pfrsHrT5G/bXE1fNKAi6PFeEN221N/ekbPsqkjwNvjnaZ9/jug51uaXtfkpF/i/p+e8hsL9299Lg2Vs3anRuq3+WHb6fet1uDjn/Gb5560dY0+O4Oo5vd5vaxVPCahTZvkfVFR93Oc/r3b75/7CZOCAVtX3gYtYEoJYAtQxK7zULQi+jMeVkMGK5epkZBXLwz7r/Bf9o/5Lw/ToC/pxv9x6v6yN3rkiWG59cnIVa13OcgAAUJ20+/f89f5z5JiXyR7/OTMrqbGm34glIYglQD2jD+mwX5aqHu/52wcrllpnkf/QV9qGKZZxP7IZ/lh2Bvuxkfvaov2/4YXTRpZVE8e9fv3pfh+6fzsPOQBA1aH3cfVtXunfpw/5zwT9Xz9aqrlra62fJGJJCGIJUK/YxPEbott7/e1zi4hlsUjiwoFIhiqWq3Pus2NpTfoHWsmrOM5LTq5QzvLH9Lr/kqJM5WEHABh39MOhWshs9j8CHvPv1fo80g+VdTn9FGJJCGIJUK9sTvpHxAznpLTbtxYRy54om73sxX1bhiqWefNd2qAnnUnxwVPs127nRTTEmvoeTwZOhQIAAGPkU0mhSavmbdVAVWp5csB/xug9Wj9yNsRoxoglIYglQD3S7D/cy1Ugp+aI5WAZqlh2lRDLruD/c4tsJ29ewKXB+cznYQcAGPXPlrleGHv954Y+a3b693C9D7c26sVBLAlBLAHqkcVetoqNHmkSt3IMxXJRzn02hUlH0l99zBPE6f6+zdH+rXmVjv1IQlNYAIBKMs1/nmg0ZfV1f8//u9HfPp1LhFgSglgC1Dd9XsTay0jhgTEUy7jpbZPf50H/t82z2VtChBcH676eDBy8R/fv4KEHABgWrf6HvTX+vdQGU9vmf/hTd4NmLhNiSQhiCdA4DFb4bIL47jESS6ugNnvh3R7JYuK/wOi2tf5LjpbVsPPqQ7kv+FJjU5+EFVebQH4ZTwEAgJLoxzn1fVzuf/TT/MLH/OeC3n/VZ5IWIIglIYglQIOz1gvW0jLLLfLLbRsjsVydDOz3eTw5uamuBunpTU7uD6p92BQkc/y6rycDB4Ro8eegL0fTeBoAAAx4v9bI2xv8e6feJzVa62b/WTGDS4RYEoJYAkBMm/8SUW4Uvia/nDWXbfd/D+UX745k4JyTeTT75Zr9L+ALvdSWWm+aX2ZxzheeqX57LTnrtfr7WnkaAECDove/ef7HPLUM0ZexQ/7/K/2PfS1cJsSSEMQSAAAAAIR+4FP/dHUB2JIUugyoGrk7zfqk0KS1ncuEWBKCWAIAAACA0e5lcb2Xx2NeJrd4uZyVNMickYglIYglAAAAAJRHzVW7kkLzVTVjVXPWI/7/auaq5q40+0csCUEsAQAAAOAE6k+ugXQ0oI4G1rF5ejXgjvqcd3CJEEtCEEsAAAAAOOEgSaFJq0bx3uUlUvMKa+oPTQGi0a9p0opYEkIQSwAAAIAMjYg9N82KpDC9k6ZF0tRLO9KsSTM/oUkrYkkIQSwBAAAAAqYnhamSNqZ5I817/t+N/nbm2UUsCSGIJQAARKgP2EFSV9nG03rQqNKoiqMqj6pAHvXXsDcpVChVqWzmMiGWhBDEEgAASnDmWa1H+cCrr0xsft9hntm5qM/jHC+M6gt5wIuk+kiqr6T6TE7lMiGWhBDEEgAAEEvEErE01GRVo7FqVFZV5jXAjkZr1aitGr11BpcIEEtCEEsAAEAsCWJpqEmr5oXU/JCaJ1JfYA75/2seyc6kMK8kAGJJCGIJAACIJUEssyats9IsS9OTZl9SqEb2pVmfFJq0tvPqBsSSEMQSAAAQS4JYGpLEhV4ad3uJlExu8XI5K2HOSEAsCUEsAQAAsSSIpUfNVbuSQvNVNWNVc9Yj/v9q5jovoUkrIJaEIJYAAIBYEsQyQAPoaCAdDaijgXU0Z6SqkhpwR1XKDl6lgFgSglgCAABiSRDLE9/bk0L/x3VJYYoPNWndnxSm/lieFKYCoUkrIJaEIJYAAIBYEsQyozkpjMSqOSO3pTmYFOaM3JFmTZrupDCSKwBiSQhiCUNl4vsm7dVFJYRUPu0f+OBrvMsglmTcxHJ6msVpNib9TVrfSApNWnX7NF5tgFgSglhChdAF5YlFyOjkvPPff5x3GcSSjIlYqtI4P83aNDt9JfJAml5foZzrK5YAiCUhBLFELAlBLBFLglhmgjjHC+NWL5ASyV1eLNVnciqvJEAsCSGIJWJJCGKJWPIcQiwNNVldlBSasL6eFAbYUdNWjdq6JCmM4gqAWBJCEEvEkhDEEhBLxDJDTVo1L6Tmh9SgOvrQ17yRGmxH80hq8B3mjATEkhCCWCKWhCCWgFgilhmaxmNWUpjWoyfNPl+N7EuzPik0aW3jFQGIJe8hhCCWiCUhiCUglsTEsj3NQi+Nu71ESia3pFnqJRMAEEtCEEvEkhCCWCKW5Jh7df9v3JZnX3J33vOgu7r7M+6UU0759/ShlVxuT7MqKTR3pUkrAGJJCGKJWBJCEEvEslHz549sdpMmT3bpY+W+/+Ir7pmdr7o1D29yN9y6xF1y2Ux3+sRm97HLr3CLly5333z8aTdxYvN/5ZkNgFgSglgiloQQxBKxJCdy6qkTXPpQZZl8xpmu4+KPuPk33uK+uvaRTDLffPfoaE43AoBYEkIQS8SSEMQSEMtaz2mnnZZJ5amnnqrn+WhPNwLQsDQ1nfYbvX4IIZXPaaed/ibvMoglIYglYknGMQ+s/0t36oQJ7oyzWt2mrdsRSwAAAMQSsSQEsUQsSdXMYwkAAACIJSEEsUQsCWIJAACAWBJCEEvEkiCWAAAAgFgSglgilgSxBAAAAMSSEMQSsSSIJQAAACCWhCCWiCViSRBLAAAAxJIQglgilgSxBAAAAMSSEMQSsSSIJQAAACCWhCCWiCVBLAEAAACxJASxBMQSsQQAAADEkhCCWCKWBLEEAAAAxJIQxBKxJIglAAAAIJaEIJaIJUEsAQAAALEkBLEExBKxBAAAAMSSEIJYIpYEsQQAAADEkhDEErEkg8+mrdvdlHPOdR/88CXumZ2vIpYAAACAWBKCWCKWZGiZMKHJpQ+Ru+w/znYXdnwIsQQAAADEkhDEErEkQ4ukUmm7oN2d1Xq2677uJvfgo4+7H7/1DmIJAACAWPJliRDEErEk5XPvQxvcqaeemlUuv/5/9Lg1D29y11x7vZs0ebK7dOZs98U7v+KefO5H7s13jyKWAAAAiCUhBLFELMngI5Hc8uxL7rY77nLTLrnUnXHmWQOqmYglAAAAYkkIQSwRSzKkvLzn7QHVzFNOOfXf0od2bZrONE08ywEAABBLQghiiViSIVUzTzvt9P+WPrTr0uxLczRNb5oladp4xgMAACCWhBDEErEkQx0Vtj3N0jTb0hxL80ZCNRMAGgP9oNZXJz+q6RxaxnH/rWlWp9nlr+n2NIt5iiGWhCCWgFg2jliGSCS7EqqZANAYrEkKo2t31Ph5zPfv1+N1HvqB8mAafc/akaYnzV5/bXt5miGWhCCWgFg2nljmfVmgmgkAiCXnUYqtfv9d0e09/vb5PNUQS0IQS0AsG1ssQ6hmAkCji2Wr/2FtVpkf15r8Mp1+nVI0p5lbZptaZo7f3tRhnMcM//7dXuZYWvw+mnNun+uPoTlnPf3w+HqR/eq4NvJUQywJQSwBsUQsi0E1EwDqUSxX+Nu2Be9lLf6HtOP+PuWI/2EtZqm/z5bTOluSgf0fbb/WhNWWPZycXN1bFi2j7Ap+0OuL7jsYrKttHYju1/LTgmW6/O3Lg+M+7M+9yf+Y+F6wvt7vV0fHKCmennMt5vh1NvBUQywJQSwBsUQsBwPVTACoB7HMk8omL2PH/fKqwql6t8MvuziSShO/Ti9bK/26u3L2e8z/v8Mvv98vO8Mv15n091Oc5YXQtrcjkDprcrrIH5vo9stpmwv8sSzz+zwcvDebWOp9e6d/H1/r79vi79vi9xPua+0gru+WhKawiCUhiCUglojlCKCaCQC1JpaLcqRSLPS3r8r5QW2flzTR7OVsX8773Gq/jXnRfuMmotO8DG6LlourgWujdfMqr/v98cQ/7nVH+zaxfCNabkZSfPCdHf44p5a4tosDyQbEkhDEEhBLxHLEUM0EgGoXS6sC7s6Rwi1J8f6L6/x9swJBW52z3PRkYJPQNcF6Ma/798kkkN19/se69kEIsv24p797iix/yItnKJZromVW+tu7S0jjoiLbX5r0V0un8jRDLAlBLAGxRCxHA6qZAFBtYml9IY/lCGTchzEvXf7HsnLL9UT7zRsIx5qa2qA/m5OBfTv3+/fMqSXEspgsxucULhv3F908iPPJk+i1/r7d/HiIWBKCWAJiWQP5du8Od27bBe7sqee6Z19+rZbEMoRqJgBUg1iqkjg36R/cJk/ClpRIWyCWW0os1xnttyXnmLblSKf9INeb9A/kcyiQz1gsO8uIpaTvvUGK5coS5zMrej+3Y99e5NwAsSQEsUQsef5UWya3nHHiV+Nz286vVbGMoZoJAOMhliZkG5P+EVJjwcob9dQG8mkOZC5vUBsJ4LzgBzPb75ycZVWRtJFdO5L+fpmhwFnz3EVFzmNq0t9fNO8HPesLWkosbSCjhTnb6PDn2xJsc0cg6bxfI5aEIJaAWNZK9AE+9bw219z8Pjdp8mR39wPfcHsOHKl1sYy//OgLD9VMABgrsWzxUhc2iZ3vl9karatlNZXHe17k9J6l99YjOe9R1hdzabTfeJs2sM56//dW//e0MtJn25sRLNPnj21GtO6ySICLiaXOX9+bXs8RxV3JwD6i65PSFVJALAlBLAGxrNY89NgT7vTTJ7oJE5rcA9/c7K7u/oybcs55mWC++e7RehDLGKqZADDaYhmKZNgkttffttO/Dy3z70HOS1647nEvp9aE1Cqe4cBAYd/ObX65Nf69TbJqTVxn5GxvdbCcNZe1ZriSQBsgaJZf7ohfR8tsTPoH1WktI5ZJ0t9f8g1/zkv9NbAmv/befDy4ZnlZxVMNsSQEsQTEsobyzM5XM8G8sOND7sFHHy8qmDUqliFUMwGgEqzw0haPtrrR374weM9Z7W8zIdR7T96oqF1eIk22jnjZa8kR2pWBoKq62JPzHhZvT7K4NVquxQuq3gsPB8Kp5rs7/LbDY2kN1p0bnWvM4uAYnV92VSDJ8/1tpbKepxpiSQhiCYhlDWbLsy+5OVdclQmmKpt1KJYxVDMBoJYwseziUgBiSQhiiViSmhDMj11+hbvkspluwxPP1LNYhlDNBADEEgCxJASxRCxJpSOplFwqmqakzsUyhmomACCWgFgSQhBLxJJUUjA7Lv6IO/XUU/+/Bv1CQzUTAKqBBUmhP+V0LgUgloQgloglqcloQJ+m007770lhREGN1jergZ/eVDMBAACxJIQgloglGU58U1iJkyp1h9Jsb3DBTBKqmQAAgFgSQhBLxJIMWSwNDUuvIfcPe5GaxrM+g2omAAAgloQQxBKxJIMUy1AwNaea5jnrQTAHQDUTAAAQS0IIYolYkiHMY6mJs9d4wdyMOOVCNRMAABBLQhBLQCwRy0E89BJMVehUnduAYBaFaiYAACCWhCCWgFgilmVo82IpYVrjhROKQzUTAAAQS0IQS0AsEcsSgqm+l0cQzEFDNRMAABBLQhBLQCwRyxymecHUNjSabDOvkkFDNRMAABBLQhBLxJIglgHTk8L8lwjm8KCaCQAAiCUhiCViSRpeLI1ZXjAPeCmi8jY8qGYCAABiSQhiiViShhVLQwLUFwgmDB+qmQAAgFgSglgilqQhxdLo8oK5N80CXkEVgWomAAAgloQgloglaSixNBZ4uVS6eSVVDKqZAACAWNZyfvjaL90Lr/zcbXn2Jbdp63b34KOPu6+ufcTd/qV73eeXrXDX3bzYzb/xFjfniqtOyqUzZ7sL2i8adD46+/Lc7Wgfym133JXtd83Dm7Lj0DE9+dyPsmP88Vvv8HghlpUim78wFcv/h+cPYjlCwZQA9XkhgspCNXMsL/ZFH/yXqee2vUcIqXzOv+DCV3iXQSxrOn0/+5V7Zuer7ltP/SATRUmbBPFjl1+RSd6EpiaXPjSSEndRx8Xu41de5a66+lPuxkWfc5/7T7e7O+9e7f7sa+vd+o1/5b6Z5pnnXz4pL/79q+61vW+flD373sm9fduLf3/SNp7+2x9m+1Duvm+t+9/S/d68+AvuhvQ4dEyzP36Fe/+FH3C/dfaU7HgnTZ7sOi7+iPtE59WZjEpEJaHf7t2RCfKeA0cQSyiGppPY4ishEsv/znsFYlmBKpsqage8YM7hZUY1sxbRl1/eQwgZnciDeJdBLKs+r+7/jfveiz/NxGrx0uXuyq5PZdI1cWKzO+PMs9z0y2a6rk/9vrt1yR+5r6TStmFzj/tBKneSvAP/ctT98397r+byi3d/437yj3vd08/90K3b8JeZiJqEXtTxoUyYp55zXlZN7b7uJnfnPQ9mcv3ynrcRy8Zllv8Sqjf2NWladSNNYav//U2tKIbyY9E4iGUsmAeTwkiys3jZUc1ELAkhiCViWZVRNe6bjz+dVeiu7v6M+6AXSMnjjYv+0N3zwDr3ZO/ful3/8Kbb/89HalIaKxVVTLe//FP36OYn3dI7VmRyLdmUbKtie8sXlrnV6x7LpLweKpyIZVG6koHzEbaEdyKW1Rs1fW8540z3vkmT3fntF9WCWBrN/rl22EvPNF6GVDMRS0IQS95lEMtx7/uovoaqukmK1Bz0mk9/1i3/0lfdX/Z8PxPIRpbH4eRn//TrrPntfV9bnzW3nfEfZ2dNa9XPU5XN7z7/E8SyPliQDJweIneCe8SyenP7XfdmTd+TrPl7S9bXukbEMhZMfZnoQTCpZiKWhCCWgFiOaZ/Ir296yt1w6xJ3QfsHMpFUJXL9xi1Z01XEcHSi6u5f/80LWWVT1V9VNa+59vqsoqkqMWJZU1WLRUn/aJ0Ly32JRCyrN70v/YM75ZRTMrFsPXtK1oe6xsTSULPrNV4wN1NBo5qJWBKCWAJiOWpRHyKJjIRm/vU3u699c6N7FZEc1z6c39qyNeuXOvXc87J+q2qC/Oa7RxHL6kSVoWVJ/+Ap8we7ImJZ3dGgY01Np2UVyx/8+P+sVbEMBXOtF5sNSA3VTMSSEMQSEMuK9R9S00uNzqpBZzTqaq0OplPPefdfj7nNPd/P+mhq9Fz1b63GQYAaVCxbk/6+bNv9F8MhgVhWf9QHWl0CNCjZYKYcqmKxNNq8WB71QtPKNwSqmYglIYglIJbD+pKk0VslKcvu/LL76Zu/QOBqJP+47x234u7V2WOnwX+qadCfBhPLqUHTwq3JCEbfRCxrJ8vvvt9dctnMbKTYGhfLUDC3JNFIxUA1E7EkBLEExLJsNKfktEsudX+49PasuSWyVrt9Mv/XJX+UfcndtmsPYjm2X/qs0qO+aiMeDAWxrK3oBx0NtFWqWXoNiaWh53GPF0xV4Jv5xkA1E7EkBLEExLJkX6EPTvuIe+Y//x1yVifp6f3b7DFVMz3Ecsy+eK+v5Jc6xLK2IqFUf3SljsQyfJ6HU+MgmFQzEUtCEEtALE+ef/K3zp5ClbJO58vUwCLjPU1JnYrlrOCL9qg0FUQsa7M7geaiVZeCOhPL+Hl/0FfHmB6DaiZiSQhiCYhlIfoC9KdfWY2I1WmW3v4n7nev+X3EsnLoC9uuNIdGu3KDWNZm1M9S3Qruuu+hehRLY24ycC5WBJNqJmJJCGIJjS6WkyZPdj/7p18jYXWavn/8WTbnKGI5Yhb4L2T7x+qLNGJZ2yNra1Tthx57ol7FMvyhRYK5179GgGomYkkIYolYNuqTKT1998BfrEfC6jRfWnUfYjmyL2FL/BewMf/ijFjWdrb3vZWN0qy5gOtYLI35/jWyNxnCXK1ANROxJASxRCzrTCzPOfc85qmsw6jf7NlTpmSVE8RySKh56wrfzK/P/8I/5iCWtZ8nn/uRm3LOedm/dS6WYWV/73i+bqA+q5mIJSGIJWJZA5F0/OEXl7uPzfl41mwSIauP7Pwve9zMWbPdilX3I5aDRwPwrE4KA/JogJI543kwiGV95FtP/SCrXKqC2QBiGVb67YeZuXzLoJqJWBKCWCKWDSKW+nfz95537Rd+wN334Nfdu/96DDmr0eixu+f+r2WP5RPP7BjwGCOWRWnzv9LrjVVTh0yvhoNCLOsnDz76ePY6nNjc/K8NVgGTYB70P9TM4tsG1UzEkhDEErFsALFU/svPfuWu+fRn3SX/4TK37pGNbv8/H0HWaiRqyvzopi3u0o/OdFd/6vezxzLvMUYsB6C5+Tb4L0n6t6OaDg6xrK9olNhTTjlFr4WWBvuItabl1hJgGt86qGYiloQglohlnYul5fs//Km75fN/lM1vefOtf+iefeHvkLcqzYt//6r7wh/9cdZP9sZFn3NbX/jJoB7jBhfLWb4yecR/GarK0RARy/rLhAlN/3f60O5OGnN6jlAwexBMqpmIJSGIJWLZAGIZzsd2/9cfcx+dNdt1fPBid8efftlt3fYCA/2Mc57/u59mzV3Vh/LiD3/Effn+dQMqlIhlUeb6iom+2K5MCn0qqxbEsv7i+1hu82nUuR/1uluT9Dc9b+NbCNVMxJIQxBKxrHOxDPPsy6+6u1Y/6K785NXuzLPOclf8ziezqSxUzUQ0R38uyrUPb3Dd1342u/YS/S/+yUr3V707KvoY17FYzkv6J3Nf7isnVQ9iWbdi2eSfjxsa/KPXBNOaoiOYVDMRS0IQS8SyEcQyzJ4DR9x3tu10t//pKjfrtz/uJk9uyURz6e1/4h5+bHPWPJP+mcPLa3vfdk88/Tfu7tUPuGuvuyFr4qp5KBd9/o/cw3/51+6VX/x6TB7jOhBLfaGxqQ/2+i8yNVUhQiyrP2rVoXkq33z36FDEUrT45+VqPoEzwbC+zuuqvSUBjE81E7EkBLFELOtULPO+XP3VMy+6u+9f525Y9Dn3H2bMdBMnNruLP3xJVmVTZfPxp3rdrn94E+H0eWv/r9xzP/z7rBKpPpKz53zcTUoFve2C92eD76gi+ehffc/98LVfVsVjXENiGU51sNvLZU2CWFZ3/vfvPOMmNDW500+f6N5/UUf2g9sQxNKE6oD/og2F67E5KTSRXYNgUs1ELAlBLBHLBhTLYvnBrj2pHD3tlq+8113z+5/N+gNKOM+eMsVd9tGZmXRKqtRfcNMTWzPR2rPvnboYofWVN3/here/lI3UKrHWIEidv/t7WV9VfRnVwEiq9qoSee/XHnE9z+0aVjUSsTxBODDIzqQOJmdHLKs7p512uksfpiz6UUiVyyGKpdDUNodq+QeQUUCD+tjgWiuTGmm6DqNbzUQsCUEsEcsGF8ti+fFb77jvv/iKe+w7z7jVDz3q/tMfr3Dzr7/ZzfnElVnFTl/U1AS0/aIPuMvnXpkJmcTsc7d9MZM0zbUpYVOTUfXxVNSENM7P/unXQxJCSW28DQmi7UPyq/2qmarJ4o1/cGvWDFgD6eh41QdS8vyBVCA/fuVVWQX3jpWr3Z+v3+S+3bsjmyR9MJUNxHLQWD8tm8qgbubKQyyrvb9kszvl1FOz96v3TZrsXtj98+GIpZjrn7+dfBqfJJjb/LVZgWA2djUz/Vz9H5oPVt8feP8hBLFELBHLIeXlPW9nzUCf+JuXsma2X9vweDZCraqft6UiKmHr/swN7hOpvKnyp36ISnsQVQWtohCmqakp9/ZMZv267w+ifUgSJb/ar/qW3nHXve6hDd92f7HxO+476TF+9/mfZMfbV2J01kZ9jEdJLK1flo0sWXdTFyCW1R21MFhxz4Puy2u+4f545X3uY5dfUbavZRGxFPO8QE3nE/kkZvkfjQ4lNdhXGipTzWw548x/u+ba692kyZPdpTNnuy/e+RX35HM/KvuaU1cd3q8IQSwRywYXS4JYlqhibEkaYCRJxLK2cmXXp9xtd9w1XLEUi7w8MTpqPnOS/tGdEcwGw5rCSiS3PPtS9lqbdsml7owzz3Ld193k8qqZ+qH3nPPOz1oL8R5FCGKJWCKWBLEMqxa9SQMN7IFY1lb0JTZ9rpfsa1lGLBPf5HN/wsA1pejygqkmkvRNbTCxzGvdtObhTS6vmrn87j9zp51+uptyznnu9i/dO+jRmwlBLAGxRCxJfYqlvkTuSPr7WbU0yvsSYll70ZdZfYnVl91himXiK/G7G+m5Pky6k/7phBDMBhXLMHE18+wp52TdXDRgnkZu/vjvdNFHkxDEErFELEkDiuWCqNlbww3cgVjWZu6858Gi/S0HKZaJr85vo7nnoN8r9vr3iy4uR+OKZdyC4JRTTnGnnXZaNqCeBtiSZOqHH5rGEoJYIpaIJal/sdSX6EVBFWJhI3+xRizrr7/lEMRSz/tdSWFeRxgci/0PUQgmYkkIQSwRS8SSNKhYqhq5LPhSOJ93JcSyHvtbDkEshZrCvp4U+hTD4IV8iX8vqavphxBLxJIQxBKxRDoIYllcLDVAifpN2hyUzOOHWNZNvvfiT13r2VOyaYiGKZZCI8Tu9z+8wNAEM3xvmcElQSwJIYglYolYkvoTy6m+CqM3sq1UFRDLes3dD3wjG6XS+lsOQyyFptjRNCQLeVUMmWYvmLp+dTnfLWJJCEEsEUukgzSiWLYnhREvNQflZr7kIZaNkKu7P+MWL10+ErFM/I8vR6jqD5vW4MesHv9eBIglIQSxRCwRS1JLj/GUc877H/7LnN641idMAI9YNlBe+cWvs9fghieeGYlYii7/o8x0Xh0VEcwNvBchloQQxBKxRCxJDTzGz+x8NavWnHrqBOe/zDHpO2LZ0P0tJ05s/q8jfFqoOexhKm4jpi1oPbGe9ybEkhDEEhBLxJJU4WOsCao/0Xl1Niqm+pid23bBcd5lEEv6W37DnXLKqf+WjHwKHfUZ1IA+U3mVVEQwN/oKJj9+IZaEIJaAWCKWpBoeYzX100AlHRd/xD346OMnBiwZwjyWgFjWdU49dcJ7vlI2Utal2Z0UpiSBkaP+3tZcf1VSGPQHEEtCEEtALBFLMlaPseRREjntkkvdJZfNzORyCNONAGLZUJnY/L5/TQpzLFZihFeJ0PYKVEBhoGBqpOrDvjKMYNaoWGouWX0e6fNJ/766/zdFP8PUyqbccnE0R208T62i9TXFUF7U3zpe/sdvveO+vumpbP/fff4nJx1bsW1ZtH64zp4DR7LjGsz5qIm+lvvm409n16vYctqGltGyulYjeQ/UdvKuW6WjYx3ufnQNV697zH1+2Qp3+5fuzb2Gug7q7oNYAmKJWPIYVyB641XTvgs7PuTmXHFVyQ8bxBKxJMfCUWFthNeRjoosodyRZguvloozy0u7Hq8lyHttiaWk4PSJzerbfyJnnHmWW/PwpgHLbe97K/sMi5fL+4E0jARwQlNT9tmX1+Q93F4YSUq47PK778+2Ey6jbZrISByLbStcPjwffd7H5yOZi2X2yq5PDVhO10vHkyfQ2ka47EdnX36S0A7l+0jedat04mszlHxy3qcHnG8slhJyXa/48UQsAbFELHmMhzHCpT58ppxzXjYwj95ghzDdCCCWiGWBZWn2VqAipqawahK7jlfMqAnmLl9lRjBrQCy/9dQPMhmQOEnMTLjUokYS9+RzPzrx46g+GyVNVtl64ZWfZ9Kk5fT/YtU7k7c8cbnh1iXZ+pKOOOEPsJJfbUPLq1qo47nzngez2667efGJz9u87SjqcqJlTZa1vsY1mDR5cnYN7Ly1XHw+JpVfvPMr2fko+r9u++raRwYIqLanbWh9VVAfeuyJbHuSr3oUS11Hk2f9P69SqYHY8n4oQCwBsUQseYwHGX3A3HbHXdkbqj709IE12HURS8SSHMubx7I3KcznOlI0AM1+33QTRoeuNH1eMBdwOapXLCVNqibFzU71mRVKmwnoXfc9NGA5iadJV9725994SyZwxcRFAquU60KiH2c1JoGNRWDRwHc6/jypCauI2v9Nn1t60nHHsmPnKWm1apv+7r7uptxrp89427eagmrZ+Adkk9DhNAWtdrG0KrE9T8If1fUdSFKtxw6xBMQSsUQshxH9SqnJ3fWrrv61X4CHEsQSsSS5YtniRWVRBZ4uHWkOJZXpuwmlBXOvD4JZhWIp6ZEAlJMN64MZN+nctmtPtpw+7/L6B+o+Va3yxEWSKPFQFbLcyOlaX9W/vL6hsWzGgiOx1ed62ETTtmkCGTbbDCXImurmNfdVtVL3WVVXYydoX3lTiWm5sOmsjlnVU7VkklhLmiWvtq1YLNWc+Jprr8/2oX/z+kNqmzomCa+WU5VUfSfz+lPaMrr2Jofx46Nrq+fGxy6/IjtG/UgQHp+OX8eiddVEWnJp10nXzyrMdv55YqnltV583oglYol0kIZ+jPXGqTdH/XqpD+rh9qdALBFLUlQsrallJfpbiulJYV7GTl49o84CL5eve9mEKhHLYvl2745MBlSFK9UM0sQiFoOX97x94gfWYhUxEw59ZiqqPkp4JHNhBVJVUi2nKqp+vJUM3vKFZZnYlKpUhlXEuN+kJFOf1/q8t89rbcv6C9rAQNbcNm9cBO1f95m8SZJ1/HnNgcOqpwRQspb4Jsj67qD7rJ9rKI06Ph2nbVvnY/1c1Tw4fCxsm7qOuu6SVf0d/nCgfek23af/61+rKMb9T3W7jklCqe1pvzoO26+ujZrAal0tq/XtWuj5YxVaE9c8sTQBzRNgxBKxRDpIwz3G+vDRL456U9WHX94odoglYkkqJpaiUv0tEy+V+oIwg1fQmLDIV537EMzqFUuJkPoJSiry+k7qNomQiUc8yI8iydA2TPzyxNLEzCpeut+azapCZp+nkkirWEpsJKzqy2jrFWsZJGHU8RVr4inxUdVOy0jKJHDadlgZVUWtmBSZpOk+7SvJaRKaV/3VqLZ51VJ9n7AqX/h9JF5Wj4+uj47bpFjV0CSnqbL1D9VjZs1/JYpxP9f48ZFw6hqrIh3KqzU9tv0Wawqb11w27xrqPkn7SH6MRywRS8SS1PxjrF/j9CasDzU1PSn3qyliiViSiomlqFR/S6HmsGoW28GraEzQgD5LvGDu8FVoqBKxlLRY5StPGE2AJJaq7kn0JGfhOAKSG90e9inME0vJkCQllCFV81QdS4I+kSZwJrFaxpqSaj+qmuUdp23HBufJu9+OX/uQNGl5VWGt2aw+2yXQkqywkmiSa8JUTrDC89eyksu8H6Lj66TvI3nNa62ZsVUPizXD1eOiCrD2qeupdVRNjpu8hvu15s0S+mLNku0xG6lY0scSEEvEsmEfY32Q6ddLG2xATTdK9e1ALBFLMmpiqf6W+7ygVILlSWFAnzZeSWMqmLrueoy3I5jjL5aqGumzTRIgGRnMOqqCSfhUnbQqoIQrnoojGcLgMPpctRFbQ7HM68ep6pvuCytrJoSqPurH37x9WP/IWJ5M2MKqns7RKqSSTBNNqxJqW0OpWIaVXwmmtiNRt5FrY7HMGzjIZM3kW/8vN/KstquqbLlBgiTNiR/pVecTxpo+23kiloBYIpZkiI+xPuQkkfqA0i+55ebsQiwRSzLqYilmeCmpVDPWtUmhD2ALr6YxRU2aV/iqcU9Smf6ziOUQxVKD1kiYJIWSnaGsa+InqZSMSDTVZzKc7kP367NV/x/MZ6hVDyUl1k8ybz1rThv3obQmrHlzTSr6LJcc5rU20r51HcL7JI46dp2rVShtBFnbdzG5syk5TBBVDQ3nftR1198mqrFY5klbLHTl5M6atxb7Dqv7bL/6vqPtSXR1W16saS5iCYglYkkG+Rjrw0C/2upNX/0U8jrvI5aIJRk3sUx8xXJfBWVwS5qdCfMvjgd6DNckhT6vEswOLsnYiKVV5FTNKjY6p26XGIQjq8bTaegz0voElopJiISsWHNba46rz2GTx7xRYW1+y3iUVGv2GVcyLfqhuNj3ORPlcqO623lbM2A1R7XKbd4gRSZW1mdU68fNYfPEMk9W423q8dM1y2varGsjMbapZfJaWqlCbPu1qm04R+dQpxtBLAGxRCyJT9sF7dkboIRSA/MMZ+4pxBKxJGMilomXkJ4KNs9Us8ytvKLGjVYvmHrsNyQ0Tx5VsZR4SUr0eVdqvmUbHTVP7lTtUoWv1OB1SU5TUJPHuM+f/rYBdexvbV+fx/F21TRT96mfYHi7JK9Ys09br5g8al01o7VKpbYfj44rOdP3QS0b9+mMBzyyiq2NNGtNXvPkPU8sw7kyY6nVeA/hfJ7xY2ADBakKaRXRuM+pzVlq+7Xrndd0WetKyu15gFgCYllHYqkXq94s7I2l2K+MWiaO3mz0JpfXDES/Vg1m6Gf9Cpa37VIjfOkNN28dNVsp9aE2lmk548zsTTJvNDzEErEkVSeWle5vqe3tTrOeV9X4upEXy6P+31YuSeXF0uROUpT32WyVQH2mS7YkoGo2a9UwqwzmDfRSTixNenQM9p1Bn7v6W2ITthKyKqIE1wbvsTkm43kwrelp3tQf4Xcj7UP7ss/68HxCCZI469ztvCVvJqZh81xtR3Kn5sAmy7p+cTVRghwLnrZdrI9l4gcUMmnUPm0/4fcxO2e7lvrRQBKox0zrSr4lqeFjqGO2frXhfu066F+rUltzaZ2PCflIxXKk81ja+nEzaZ2rbo9H3rUfSXRf/GMEYolYNrxY2hDResPLa54SvhkXi9aNm6LYG1m5/etNqNS29eYZC6a13S8WbXO8h50e78cYsUQsyZDEUlS6v6UkRoP5rOCVNe60ebE87CuZCGaFxNIqVeU+k0MZszkPrT+miV25geySIoP3qPJm27GpRiQucT9PfccxIdP9+u6S+Dkb4+8/JjKxcOb1zwwH5bHjkEyF56PrZMdmy0ns8pqK6od5m4/SrpWqmuH3GrWCkuDZOds2dS0koPrb9q/vI5JFSadNtZL46Vji70o6Htt3uP1Q2vR/OxdbRtsPm8La9baBkcJltf9QiEcqliOdx9LWj7dt+8x7ztl313JNnRFLxLKhxFIvevsVLIkmys0TS/2yp1//wmi4aHtTDd94hiqW8XbVRMI6puvNMPxVyMRSE/aG6+jXJnVstw8KxBIQSzIEsUySyve3bPMys5BXV1WgQX3U5PmIF8xmLsnIxFJVrPjzO07cFUTVQMmTmlXqe8dgW/bkbSts+qrvBpIDCWWpSpK2oe8z+v5SrMqlY9T+BiMO2pf2qX2XOh87by2nYy31A7juk7TqGknC8lqG6drbiLD6N6zY6thNltWyTGJr+1e1Ta3Uiom8tmPb1fJ5+7Zt6RpaRVr7yXt8tG+di/ardWKJt2tdqsVZqcdjpPNY2vrxtm2feeek23TfSKaJQywRy7oTS+vMrjcY/dKkX69KiWWxgWesKUr4a9NQxbLY/dZB3YbDDsWy2K9TJsrjWbVELBFLUpNimSSV7W8ppnuRmccrrOoE87CvKCOYwxRLQghiiVgillnUtt46dNtQ3NYxfChimddcoFJiaXNRqWmG/cpVTiwHOxobYgmIJWKZgyRjb5plFXxqdXqJmcOrrKrQvJfb/WOjx5uRfBFLQhBLxBKxHGqsX4R1llcH7aRIG/dyYikZTXx/yEqLZdgB3PZfSixVpZSI5g3XjVgCYln/0Y9Rek9afvefucuv+OS/nz5x4rvDrGgd8eJRKdQc9pCvYEL1CaamiDmQFJpDI5iIJSGIJWKJWA42VqG0Ub1s1DJVBuO+CaXEUoJqo4GFHeUrKZY2RLmJpImlmrzq2CzqPK7+nhrBbLxHh0UsEUsy9iL58d/5Xdf8vkmu4+IPuwsu/IBramr6f321cDgs8qLRUsGnmKpiGtCH6S+qk640ff5xb/h+sYglIYglYolYDuqLmEYMC+dOstHAJGzqjJ0nllpHx26xkcUUjfw1klFhSy0TVyjLjQqr4xzu6GCIJWLJB15tiuSnF9ycvnf9RfYD2J+u/tr/nDRpsqaYmDvCp8TmNL0VfpqtTvNGhYUVKi+YeozUJHoBYkkIQSwRS8SyxJw9EjCNuhrONSWhTPworHliqcqkRNCiEVg1b1XeHJiVFMt4KOlSTWFVgVXfUd2v0ccQS0As618kv/fiKyey9E++bFJZiSano9HfUmxMs4sml1XPAv/4v+FlE7EkhCCWiCViGcam8SgVGz56MH0si51jpcTSphCxZrvlBu+x/qLjOeUIYolYkpFHw+mfPfXckiIZ5vPL7qykVBqj0d9SQrltFKqhMDqoWayax/Y1kmAiloQgloglYlkyGtxGE+RK6DRqahybOuSaa6+vCrHUF0v1m9TotTbnUjmx1Ci3eZVXxBIQy9qK3o9+e25nUZEMc8ttt//PM8486zfJ6PRfHI3+lqqG7k6zgVdeTaAfA5b458HOCv/QgFgSglgCYll70mED4WgOy1LTe0g+bR7I8RJLHYv6bup+NYcd7DyWJsdxv0/EEhDL2opGhL7tjrvKSuXvX/8HbhSl0lDz1e0V3qZEVYP5rOTVV1OCuTQpTFGyvZ4FE7EkBLFELBHLklEVL5wTslSfRpO5sRDLsK+noi+TGlwo8aO/qgoZi+UNty4ZsI5kWV9EdX4S42d2vopYAmJZ4++V39j012Wl8pzz2t7R9+AxEAr1tVtR4e1KhjUNyWJegTVFs38uSDB7kkKTacSSEIJYIpaNIR1PPvejTMjUZ7HUcmoSq+VUuVTVcCzEMi9q/qppUWIJLjcqrAYZCvuIIpaAWNZe9D509tRzigrld/9zn7vyd68xqRyrEVY7kkJ/yzkV3u50L5fdvAprUjBX++dFXQkmYkkIYolYIpYlv6hJDl/e83bZZTUKo5aV1GlOSP1f/R0Huy9bv9xyqipquTg61lL9RPPW0T7jOTgRS0AsazNqgfB7n/5sUanU4FwXXPiBXyZjP22HRgo9mKa1wtvt9NWvubwSaxI9H9Z4wdyQ1MFcpYglIYglYolYEh5jxBKxrPmoZcXyu9ecJJXf+cHfudmfuNJ94IMf/r+S8ZuuQ+KwfRS2O99XLqfzaqxpwdTz42itCyZiSQhiiVgiHYTHGLFELGs+rb81xW186rmTpFJN3cdZKpNk9PpbCht5tI1XZE3T5sXysK9kttbaCSCWhCCWiCXSQXiMEUvEsqajJvIXffDiAVKp5u6SypmzP/6TKnm6dCSj099SrEqzLxn7Zr4wOs+THv9cWVNLjyliSQhiiVgiHYTHGLFELGs6mhbpszctPiGVm7Y+r/6U1SSVhvW3HI0RaVXt2j3OlVmoHNO8YB7yle5mxJIQxBIQS8SSIJaIJRnFXNn1KfeVP18/QCp/5+ru56v0abMuzc5R2K6EcpsPclk/aN5L9c9VE9nl1fzYIpaEIJaIJdJBeIwRS8SyZqM5aydNmpz1p1z/+NPunPPOd7/3v3xmWxU/bZp8ZXHVKG57A6/OuhTMHUmhP+2SahRMxJIQxBKxRDoIjzFiiVjWbNSX8tKZszOpPHvqua57/sLv18BTp91XoDpHYdvqk7d3lMQVxp+uNH1eMBchloQgloBYIpYEsUQsSQVy2x13uY//TlcmlX/wh0v/qoaePt1Jof/caPS3bAsqW1C/grnb/4iwALEkBLEExBKxJIglYklGkI/OvtxNmDCh1qTSGK3+lmK6F9cFvFLrmgVeLvd62UQsCUEsAbFELBFLxLIG35eO6tqR8Uvz+yb9+/Iv/9kjNfoUGs3+lmJuMnpNbqH6BHN/UmgmOy6CiVgSglgilkgH4TFGLAHGj9Hsbym6/fanc6nrHv1QoebPB7xgzkIsCUEsAbFELHmMEUuAxmFeUmi22jZK2188ytuH6hRM/aCwfawEE7EkBLFELJEOwmOMWAKMP2vS7EpGbxqJFUmhqWQLl7phaPaPuwSzN800xJIQxBIQS15UPMaIJUD9V5l2ecEcLTS/5W4vHNBYgql+vPpi2jNagolYEoJYIpZIB+ExRiwBqgM1VVWT1XmjuA9VrraNYmUUqpdW/8OFvqBuTCrcNBqxJASxRCyRDsJjjFgCVA+j3d/SKqObudQNLZjr0xxNClXsijzXEEtCEEvEEukgPMaIJUB1Mdr9LdXP8o1kdJvdQvXT5sXyiH8utCKWhCCWiCXSQXiMEUuA+mEs+ltKKjSYzzIud8OjKW96RiqYiCUhiCViiXQQHmPEEqA6q0mj3d9yut/HQi43JIVBfXr8c0KjyQ5pkCfEkhDEErFEOgiPMWIJUJ10JoWpItpHcR+z/D46udwQ/OCw3T8vJJiDapKNWBKCWCKWSAfhMUYsAaoXTROxOxndUVy7kkIzyOlcboh+dJBgHkizpNxzELEkBLFELJEOwmOMWAJUNzvTrBvlfSz0Fao2LjdEqJrdFwgmYkkIYolYIh2ExxixBKhBpiaFfm/do7wfNXvc7/cHENPlBXNvmgWIJSGIJWKJdBAeY8QSoDarRqPd31JofkM1vW3hkkMRFni53Bv+2IFYEoJYIpY1kNazp7g9B47wwqrTvPKLX7sLOz6EWAJAOcaiv6XYmhT61jVxyaGMYO7zVcwuxJIQxBKxrIF0XPwRd/cD3+CFVae5/Uv3utvuuAuxBIDBMBb9LSWUO9Js4XLDIJ4r6nd54LTTTv/37734Uz7XCUEsEctqzpqHN7kp55xH1bJOq5WqSP/4rXcQSwAYDOr/eDDN/FHeT4uvjq7lksNgBLPljLP+Lf0scVd3f8Y9s/NVPuMJQSwRy2rN4qXL3UdnX+62973FC6xOog/eS2fOdsvvvn/cjwWxBKgp5iSF6UE6Rnk/GiFWg/ks55JD2V88zm17Tz+Aq4WVfgy/5trr3Quv/JzPe0IQS8SyGrNp6/ZskJe77nvIvfnuUV5oNRo9dnfe82D2WH67d0dVHBNiCVBzaATXN5LR7wcpedWItAu55FBOLO0zRYKp7ypqkXPdzYsRTEIQS8SyGtP3s19lzUymXXKpW73uMffq/t/wgquR6IP2wUcfd5dcNtN9ct6ns8eyWo4NsQSoSTTAzoYx2M+MNEeTwsi0AGXFMuzuoXEEJJg3fW7puHf7IASxBMQyJ+ogrzdp+zVwy7MvcV2q+LG65QvLsqZBeqy++/xPqu4YEUuAmqQ1KfS3XDAG++r0cjmDyw6DFctQML9451fcGWeelXXtyRPMH772S74zEIJYIpbjGVUsVblUXz1NWaHRRdVkloF+xjeSRzV31eOiUX3VJKiaKpSIJUDdMFb9LYWawx4ao31BHYmlRUIpsZRgSjQlnNYaSwP/UNEkBLFELKtoMBjJzCc6r87etOdccVXWBEXVTERzdKNBlb669pGsmbKuvYRSkl8tfSgRS4C6Zqz6W9q+NKBPG5cdhiqWoWDecOuSrNWVvqesenC9mzix2f32JzoZQ4IQxBKxrMb+fBJK/SKo0WQnTZ6ciaZ+KdT0JWqeSf/M4UXNdTY88Uw2mqtGvVMTVw3Eo6bJX9/01IlfYGspiCVAzaP+lhvHaF+agkRTkbRw2WE4YmnRoD7qInLOeee7dBPuzLNa3dI/+TLfNQhBLBHLam8yq+qZmmTqTVwDyJw+sTlrpqkqm34x/ObjT7ttu/YgnMEvqk8+96OsEqk+kiboaq6jwXdUkdQ1q4d+IYglQM0jyTuQZtEY7W9Lmh1jVCWFOhVL6395yimnZGKpTJgwwf3l08/zPYQQxBKxrLVIJCVHEksJpkRTwqnmKZJP3SapUhNbVeMkWi/vebsuKrr6pVSyrZFadf4SbjUjVl/VCU1N2TWQTKoSKbnUuddiNRKxBGgYZiWF/pbTxmBfTb5KupXLDiMRS+Wl137pVt6/zl31e91uyjnnurNaz6a/JSGIJWJZT9U6NZdVk09J1eeXrXDd193kPnb5FVnFTr8qWhNQ3SYhk5hJwiRpqoxK2LS+muQqquzFGeqANpLaeBsSRNuH5Ff7VTNVk8X5N96SNQNWv0cdr/pASp4lkLpdy2hZNRGWaKq/ZKP1SUUsAeqGZWn2pmkeoyqpmsSu57LDSMQy7zsIc18Sglgilg0UkzwJnVX+NEKtJE0iKmFTH0TJmyp/kro4qgomvvlLGFUM8243mY2jfSiSX+1XfUt1HDqmhx57IjtGjdQ6HJlFLAGgxuhNs3msfCIpDOazgsuOWPJ5SghiiVgSglgilgD1w1j3t2xPczgpTEcCiCUhBLFELAlBLAGgThjL/pZiut9fF5cesSSEIJaIJSGIJQDUD2PZ31J0+srlLC49YkkIQSwRS0IQSwCoHzRqa88Y7k/NYQ+NYaUUEEtCEEtALAlBLAFglFF/y31ploxxpVQD+rRx+RFLQghiiVgSglgCQH0wIyk0UZ0xhvtck+YNL7aAWBJCEEvEkhDEEgDqgCW+cjmWoqcpT3alaeLyI5aEEMQSsSQEsQSA+qAnGdv+lhLKbUlhXk1ALAkhiCViSQhiCQB1wHj0t9SItLvTbODyI5aWPQeOuDvvedB9ovNqN+eKq9z8G29x333+J2XXe2bnq9nym7ZuP+m+u+57yF138+Lc9P3sVwOW3bZrT3a7tqV88c6vuFf3/+bE/RueeKbotixPPvejE8tr3eV333/ifLqvu2nA/WEeeuwJ98l5n86Wu+ba6923nvpB7nIv73nbLV66/MQx3nbHXSedx2BT6rpVMiPdz+1fute1nj3FpU8nd3X3Z066f3vfW9n2f/zWO7nrf33TU9l64eM63GuGWCKWhBDEEgBKMx79LSW0GsxnBZcfsZRUfuzyKzJ5kGDd9Lml7sKOD7kJTU3uwUcfL7lex8UfydbLW+6C9ouy+/Lyw9d+OUAata/0cy/bt45By2jbJpcSnGLbsnzz8adPSKUdl52Ptq19aF/hMUqgtZzO94Zbl2Tyo78lkLFUTjnnPDdp8uRMYiWq2p7288ovfj3kz/gtz75U9LpVMiPZz7d7d5y4NpLoNQ9vGnC/ZNKuc/h4WnSddN8ll83Mrq0EU9dM1zFvecQSsUQsCUEsAWDkjEd/S40Qq2lIFnH5G1ssVamUAKxe99iAit+0Sy51Z5x5ViaQeevd8oVlmSjkiYtkK0/Q4khOtI9LZ84eUKHUsWh9HVup9b/34k/d6RObs0pjfD5fXfvIgPOR6Ibno2qayeeb7x49af2wcmkiqQpgLG3lzrFWxVIVZ62bV+3UdZBw5v1QoGgd3S65zDue8PFCLCFj4sTm//pbU6YeI4RUPu0XdfwL7zIADYUG1hnrvo/TfbW0m8vfuGJpFb1QrhQ1W5QE5DWJlXTpvs8vW5ErLlbtUjPTwciLBDG8XceiauLdD3yj6Lomi0oopVYpiyuJdqwmQaqg6W9VI+N9q6qmZrQmyZLKvKagWkZVzPja6W8175VIScJiOY+FT8voOheTeKsQ6zqpSW+xKqmW0Xa0nI6hlFhqG7rfls1rBqt1tUx4u0TaKsxWXY7FUj866PYXXvn5SdvVjwi6ZoglAAAAwOigvo97k8Kck2NJp5fLuTwEjSmWxaIqneQg7j+nPnISLwlpMXGREOp2yZUERuKRJ0MSEwnKcI7P5CWuqJlAxkJsEmR9/NSMs9i+1STW5Meqb3mSa/IVirEqntYv0aJKaVgRtuumJqbWnNSWy9uPtqn7bDmJnc4/FEI1VQ2XUUXRHofw8ZGEWwXWltXxhk1d85oxmzzqeCWXejzt/GOx1DWOhdRilfD4Go529RaxBAAAgEZiWhp9WZk1xvtdkBSaxU7nIWhssVTFSwOySHj0ZV994/Jk0KqExcTS+i6qyWMoMPo7FFVtRxKnfWq7atYqodNypfrhSVi1Xa0T36f1JL4SIPW7lPTZ+ehfW+6jsy8fIDhh1C/QJFTnpv/H/TMVu0/NavW3mt8mvgmo9quKne7T8eh4rTpq102R5Ol8tLz18bTtheKla6JlbKAj3aYBikL51TmpomnLxE2VJaLah27XurruEnCTbqsw6zbbh+RUx2vV1PAHgmJiWa7fps45/BFCzwPrI4tYAgAAAFQG9Xk8kIxtf0ux1O+3jYegccVSVUgTHslVXK2UOElKrBpYTCxVldLtV3Z9KpMkSZnJpu4zSdHfGjhIMql/JSpWTZOMxc1ULZIsrRv2eYz7+GmbSVBx07GETU1VdYslzvptJkGVrliT0FAs7fxNuuOmpSacJqd23XTO4bKSdZNi+1uyLWHMq/ypKhlKclwVNmG047N+pXHfVR2DthdWcEud93DEUs8lGwCJwXsAAAAAxobx6G8pViWF5rgtPASNKZYSRomEmm2qeaRkRVUtm1pCUhBW/YqJpfpO5g28YzJnA+uYwElo4ylAkiIVU8mmxNP6QMZRk07dr8qcKmSSTx2LBC0cJEhyo/PT7epPqnPRcUl+TIyHKpZ5UdXSmu3acnbdwgGG8vonWl/WvOXsPGygpLAKaFEVMNyvyX2esFtV12S9kmKp546NNFxsOhfEEgAAAKDyjFd/S6H5LfvSNPEwNJ5YxpJpwqKKliqYSlhhG+qooxKMJJgTUVKX5Ay0o0hE8vpAqglnEkwvEjfllSxq3XggHJPVUHhVnTSJTIK+kCZ3OlcboVaSWkwsw0GKVJXUNdN2rWoaN0m165YnbaHQ2fZLyZikTstovbzRW8P9WlPbUrFjqpRYan2rVOZdQ8QSAAAAYHQZr/6WEsptPshlA4ulIiFQ086wT+BgpKRUH04tZ9VGNfks1s/RJKjYqKJ5I6haM9awqho290x8k9g84dW6tk0dn87dRFHrxfM4hqPaql9jWJHVeUlOVWmUoGvdPLHMEy2TNW3TxLJU/0MTy7xzLiaW+rtYrPlzJcRSTW+tWXOxZsuIJQAAAMDoM179LSWUu5NC9RLqXCwlahKOPBGT9KnyJvHSYC5xJGmJ7yuov7WcBo5RZdMGlskTP0lXOPKsjdQaRnJmfQ3j+THzBu2xQX2SInNLmtTaujoWiV8sqNav0ZqWSrTCY45HzpU4aR2dQ+IH0CnWx3IwTWHtmth0IEmR+Ty1rpbV8el484Q5bgqrpsX625o3x9cunPJkpGJpMq3nT9xXF7EEAAAAGHskd9vHYb+S2X1Jod8l1LFY2gAv8VyS1gQ0rxJWqimsJEtCqipVOL9kOHek7cuqgZoiJB58J+9263OoSmGpKquSN/BQEkwbYuITD95j83eGQmWD44TbVD9FCZ0167XqYNzXUdfAmtvGYqnbQwmV8GmbVtGV5Kmvq5r2htdSt+s2VZNtMCMJblgVtBFgw/3a9VNfy/gYtT3t2/YzErHU46vj0Q8M8XMgbz5NrV9uOZ2PlosfV90W71/L6La8+TkRS/j/2XsfoMrWs9zzM9lJOOeQc8g5nBySkLiv4SYkkkgiUaLo5VzioJKbVolFUjiil3LwSlUo0xNbJXWx0pPB2CoTezIdq3Ml19YiFlpYoraTtqQMlfQ91cmg01o4Q0ZS4gyZyy2pWziiwWTPfuj3Pfvl5Vtrrw0b9t7086t6C/baa33/19rfs97vDyGEEPKwAu/hvaJN1SBurBC7WbQxVsPFFZa6KA8EDDxjECFYTAfCAB7DtA5/0hxLFaUQTvgfIg5iKSZU1UOHvwgHnk6kB/MrvSdT92VMm3OI75B2iC4IUJsfCET1yOEvzoFg1PPUo+eFFzx5uB7iC/mBSMW1SKd6/yBicEy38tA5krraajAeSi03lDm8vSgfpEHnIlqBqHNDIdIQNwz5CGaVWV2ISOtQy1vneNr60fKGhxPnITwVvnavzdMIS/Vko/1A3Mas0n0sdciv964HGYYdG0Z9lqvPUlgSQgghpBHJhwfzLXtqEDf2tsQel0OshospLFVcQgzoYjoQKBhOGltUxwuupD0I4QnU/SBhKspinigIMRVfSEPSPpa65yGGbaalC2IIgk0XzYFgQ368SEYc8DjqeUgD0hLzdCFMmx+IO+/lRTlC0Gl4SCuEEwQy8q+r32q5QRiqt1FXuo3NRYRYVjEJw/BlL66xiizq0IaF8H39IG8Qn0iPDc97brWsdWuZmOk5fpVZ9aamWaX7WCIOnOc9wj48Fc+xdFFYEkIIIYSEcCk88B621CDu3qJtF62P1XAxhSWNRqOwJIQQQsjDQ63mW4LB8MBz2clqoLCk0SgsKSwJIYQQ0rjUcr4lGBVx2caqoLCk0SgsCSGEEEIal3yo3XxLcLlo6+H8t0AhFJY0GoUlIYQQQkgVqeV8S4AhudjnsolVQWFJo1FYEkIIIYQ0LrNFu13D+BfFcqwKCksajcKSEEIIIaQxgaCD1/BKDeO/U7TrrAoKSxqNwpIQQgghpHFpD7XdBgTzLLGY0DSrgsKSRqOwJIQQQghpXHQbkNYaxY8VYrGYzzirgsKSRqOwJIQQQghpXGo937JTxO0wq4LCkkajsCSEEEIIaUxqPd8SYPuTWg7LJRSWNBqFJSGEEELIKan1fEswEB7ssdnJ6qCwpNEoLAkhhBBCGhPMt8T+lm01TMOICNw2VgeFJY1GYUkIIYQQ0pjMhAfbgNRyf8mp8GBBnxZWB4UljUZhSQghhBDSeOj+kjM1Tse18GDeZzOrhMKSRqOwJIQQQghpPDAMFau0DtQ4HbeKthhq6z2lsKTRaBSWhBBCCCEnZEDEZS3nOkJQYhuUm6wOCksajcKSEEIIIaQxqYf5lhgKe7doV1kdFJY0GoUlIYQQQkjjUS/zLeE1xWI+k6wSCksajcKSEEIIIaTxqJf5lh2SjmFWCYUljUZhSQghhBDSeNTDfEvQVTR0xvpYJRSWNBqFJSGEEEJI43ElPNj+o9YrtEJU7hatk1VCYUmjUVgSQgghhDQeWKF1tg7SgeGw8KDmWSUUljQahSUhhBBCSINpDRF0g3WQlqnwYEGfNlYLhSWNRmFJCCGEENJYYCjqdtHa6yAt8J5ieG4zq4XCkkajsCSEEEIIaSzqZb4lmC/acp2khcKSRqNRWBJCCCGEVEC9zLeEoFwSgUkoLGk0CktCCCGEkEbSHaF+5ltiKOxqnQhdCksajUZhSQghhBBSAfU03xJCF4v5TLFaKCxpNApLQgghhJDGAkLuXqiPOY4QuPCiDrNaKCxpNApLQgghhJDGAnMc5+okLZ1F2y1aP6uFwpJGo7AkhBBCCGkcWoq2WbRLdZIeDNFFp62bVUNhSaNRWBJCCCGENA49IubydZIeDIfFsNgOVg2FJY1GYUkIIYQQ0jjU03xLMBEeLOjTxqqhsKTRKCwJIYQQQhqHeppvCWaKdjc82JKEUFjSaBSWhBBCCCENQL3NtwQ3inY71I8nlcKSRqOwpLAkhBBCCClDvc23hKBcLNoCq4bCkkajsCSEEEIIaRwwv3GtaE11kh4MhV0N9TVMl8KSRqOwJIQQQgghZYCH8EYdpQfDdLGYzxSrhsKSRqOwJIQQQghpDOAl3CjaSB2lCSvEbtdZmigsaTQKS0IIIYQQkkJ3eDDfsp72k+wUcTnA6qGwpNEoLAkhhBBCGoN6m28J+kRc9rB6KCxpNApLEgMrv42FB3tW7RetULTd8GBfrX53LobDrMj5jcAVSe9F3egZ+Wovc86glEF3jdPafUZtB52urofgPr0u5Teacs6CnBOzm5H7WevkCh+DhNQl9TbfEmBLlK3wwINJKCxpNApLcoRbIiY35X/8iC0akTlhzs3LsZkGydu8pDd/AeutT14A9Jc5b0zKoL/G6e0/g7aDRSU2Gqg9npR2Kbu98GARjSQ25b61gvKeHC9Eyl/rZJ6PQULqknqcbwnGJV1trCIKSxqNwpIovdKxXA7HN0Ful7eS++bHg8KyfsgqGC+ysGy09nhSZiSfs2XqclMsBry6eCAfmPuBwpKQ+gcjCzD8tN48hNPhwVDdZlYRhSWNRmFJwBXpWA4mfH9Zvh9J6Mh3Sue0s8wb1145ryciYL1QgCfOzylpk+t7Q/p8Ez2v6wTCskWu7Zf/0/LTl+G8nOS3XPlompsT0tOX8MN9VsKyXLzVEpY9GcqwybSdtnMSluXitGj7zzLMOMu9ElIE45qkB8Jw4QTC0grUcQpLQhruReL9OhRxOkQ/xyqisKTRKCyJio7rKSIqb340tCOP4bJ3Qml4Hey2+9HD/5jXte/Ow5vXS5HO7iXpNBckbBVdi+76XdMxtiLupjsPP3bLGYSlXntgrtXOe7M775rLz4GUnf9R1TkoPj1trtwh2Pfk/w1XbjY9+/J2ODjBrLZZobAclvBXTR6bpF59vFdN/qbkeGye31X5rrOMsES5rrs4YsJwSura5nPRpHfMfVcw6fPzOJdMG7OsmnLPEmcwonjNnbchgtSL3km5N+y5iLc14z06INfoPMhlqaO2EwjLSZMmCktCGov5OrxXc/KMXGT1UFjSaBSWpDmU5l/dF/GS5hXMOyGJjim8NTpP85o5V4XejIiNvAjCPem8NzlhuSPXzIpwyUnnHZ1oeE47pEO/HBEPN4xA7pTz7pq0pgnLK6bj3iF2LZSGHto3s9oJ75J4dGjiTScEkGbMbeuTuCfl2F0ninZEaF0Npc2nl03cnRKXCkkVlzbuKSdoygnLmKgMkg6tw04xXw6tIgRvJ4iauynp6Df1sST56jKi77ITeDpEu0fq5LKke8W8dBgxddJv0rfgOj57kRcorXLsakKc+Uiceg/syQuSYfk8KGJ5L5S85Xqv7MmLkgEJd968nMnCgqRBF2kacUKzEmG5Ktf2UVgS0pC/1/dD/S2el5NnyxyriMKSRqOwJO2mc2+9SLeNwPPC8r47nhOxeM98vieddM91J/ZmEjraIxHBoWHfl469CoSDSFzNck45YbksafdeR6RHFy7qCCXvlUcFdIfpvO+F4x4p9XZ2GLHnBVpfSPYg35brmxMEYxZhmSQqe1LEjnrIND+L7rNN90QGYbkWaTvrIrJz8sJhN3JeCKWh2UOuPc5E6tOnbTMcXfhm1IisSuLUlxg9kfvIDlPNm3h9fpHXjSx9lIiQ17RuRdK6KWGPOZs0onI1UicUloQ0Bl3yu1ZvK2Gr6L1MYUlhSaNRWBLtGI9JJ9OuIrliRIh2lmNvJnX1ybS3mt1GxHph6Ycpqhe0V861pp37bhFLhYS3uDcyCMurpsONMGJDDCeNcPJpGQ+l4YVNIi6WImE0RcTeVEJaLkXimXYCp1JhOSdpux+Oe6TVazsaiVe/G5ZzhyJp1yHPLRmEZazjMWvE2oBJr0/LgGt/MWE5btqNtq9tIxC1fhdEnNm0ZYlzS9p5PmJrRtRq2m5F8rtS5l7x7W4koV0PRYRlIcEO5KVAG4UlIQ1Nvc63bJNn0NjDXDkUljQahSWJY4eTzqR05JM6y02hNL/Mdnj3E4RlfyS8QhnrN4IhJrBmMgjL5nB8HueaCKpmF06azZjymc/QMYiJ4fkM8YydUFjq/NTYNVnivWxeEGyH0rBX9aAtlElHf8oLgDEjlMYypGU+pT3q1hw6bPiupK3XiDQdHnszUkbl4ixkMJu22VMIS53HeTcc3UJE56guR4TldigtQqXWm9AJpbAkpDGZr9P7tlNevg1RWNJoNArLh/PH6VrK9y0iBNcqFJY5IwxXpHM9Ij86MxUKy/4Uawklr87ACYWlFSTwSC6F0py8FRfOREpa8lUUliMp8bSdUFguSvp2pZ6s0LiZIV5bhuphxLBe9RgPnkJYTpi8jBlBlpSWzjLtUYUY2gc8dbrYE/J+w6RlwJVRljj1xUNau6z0JUzSix2Naz5iW5G2vRmyCVYKS0Iam3qdbwn65AVXH4UljUajsHy4uB/ShzD6uZNZO8s6fDA2Z+9GODonMUlYqtjpTOh04/wmETRJQyyzbDfSGxGlCPeOiX88RRTlJQ0653A/HF3sxf7Y3pa/ScJyOkUkd8nxlhMKSz1Phbidx6le3+GEN9CDro10hpJXcCnE5/sliZjplDaRD6U5kdcSXnQMmfpMao/TIihHXf0vShudk5cHTU7EZYlzI5Tm93oGQmkI7mmF5fWUtmDrbJbCkpCHknqdbxnkmbkV6m/vTQpLGo3CkpwhuhIm5he2RUTlNScGsnaWRxJEBOLYcUInSVjqXL5bkTe1myJ4m0UcbIfjXrj2UBr6mSYs1+T65gRR2iYGwbgeOU+3kug14gWixu9tuGAEdZKw7AolT6lf8OVuOLq5/Wn2sVxxx/KhtJJtk4tXF33xnZe7UnZ7Id3r7UXMRkI92YWftH7bXRjaHkdde7yaUI5eaKlndMe1q0ri1M9+y5tuKcM7VRCWdoGexP6LtMltU2cUloQ8XIxEnqn1wqg8j9oepgqhsKTRKCwfZnQPKrsS7HwoLWyiorOpws5ymwiOPRGv8LpcljA13MEywtKKsRURBfC23Y907HUPzHU557IRCuWEpYrg+5JWCDH1li5ERMm6hD9hRKUVKXnp7O+KsB4zZTznxF7MA6rDTNckLxOhNNfVCqhhk+75CoVlp9S3FeMzJjyNV0VlbJ6glkch4xtzFTF7Jg5tEzhmV1kdlPrcMWV4y7RHFd0t5rx5l46NcNxrnjdp9ntxVhLnupx7S86bluv2zAuF0wjLkZRyt2i7GqGwJOSh5UYoP8e9VlwO9bnQEIUljUZhSc6QMensqhBT79VUOOo5a5PzYoJozv249UqH/MCENyqixoahcXcnCF8rJnWrjNiQzQEjwJCPayI+VzK8MR2R9OnCQhsiCPzqqUMS/74To34YaF46/btGjE46EbMSkucljkp6DuT6e+H4Vh6I87oIiY2QPJx5MKF8JyJ1OeLivR+StxBpMfWahW6Jb1iEzJ55mRGr+175Tue7borQao7kY12+H3QdmlgZL4WjKx2fJM4Wae9bRiwvuXxUcq94rsq15QR7fyjNYdYXMZV0MLVOrvARSEjD0iQvIifqNH1z7uXchSaXe9GXX9L0yDaNRqu+vehFL/48H/mEXEx0uOkki4IQQmoKpljsJLykqwcWxXKsKkIIIYRY0DlQr2MLi4MQQmpOPc+31JXir7OaCCGEEKJg6KsuwMQhlIQQUj/U83xLCF4M2Z1mNRFCCCEEYO4q3jxjDiOHNRFCSP1Q7/MtMfccXtVxVhUhhBBCCCGE1C/1Pt8SC/hh4bNLrCpCCCGEEEIIqV8g2rCqdb3Ogcf2UtiWq49VRQghhBBCCCH1C7b5WKrj9A2IuOxkVRFCCCGEEEJIfYI58Lofdb0yIuKyjdVFCCEXj+XwYPjMWU6sn5I42lPOaZdzriV8jx+hu3LOVAOVLxZW6GIzSwSbaC+wGAghpCrkw4P5lj11nEb8hq8Hbl1FCCEXCgxHwRYS+0W7f4bxzEg8+TI/hjhnPkFUrsv3Mw1UvvjR3GiwNJ83eFGwwmIghJCqUe/zLQGG7eLFYjOrixBCLgbXjFjD3/46FJZWVE41WPnmG1AMnzftgUOiCCHkLITbUp2nEaNVFgO3sSKEkIYHD3LMc1iVzv1BiA9JzIlA0reKGF4zGNKHd7bLOb1y/UmFZVZR2SyiGHF2lMl3j0tbUl5zcs5QSpg5CQ/nYKW7JpemPkn7nITb5K7vlLT0h/hbW5Rjq8SDRQ/8UvJNksbBUPky8y0S5lBIX0hB8zGYcF6LqddOCbNVjrVkEJNJwlLjLZe+tPq0aeyXsGLl1CTpbeVjgRBygX7j632+JdJ4u2g3WF2EENLYXBLRMymf8XDfj3TyVfBdkR+pgrG7rjOOH4mb7pw1+dGoVFiqqDwo88N4RdJt47wTyQeEx4Y7b1tESSyv9925t5z4g+jZdOfshtIm1WPuO+sR7pCys9/tS7yWTYl31Zyn+4DpAgi+rLOstndVyrXctZczlK2+NBg159yT6+5E4u6Qc66bPK5E6nTPxXvblX9PQn0OubCmI3nwee0PycOwCSGkUcFvWr3Pt2yW30OO7CGEkAZmWTrcrUaoFCLiRsWWejTxA9UlnXAct4vt6NDaGyIgcN6S6dBnFZbWUzmZcs1lOWdJ4moVQbcn4iFnwt4zQrJVhOZdyVdPJK8Is11+9FQ83TRxb4mwQTgtEsY9uTYveRgxeeqX81rkWqRnXM7tlvooSJ6ssNyXeCZFjDVLHlTY90p+BiV/2yF9Xs2gq6MWEYUHTghOynnLkr5WOc+XrZYNOi9z0n5GTPvwCzbp+d0JwnIiEu+UHFvMWJ+9RvxrvWleh6VM75o4uyUNV/hYIIRcMAblN6eeR2Tob/4kq4sQQhqPNumAL5pjGA64Kx39mODzi/vk5Px78rlZOuwrkfM2KhCWt0PJU4nPqyE+xFHTuxb5XkXRiHxWj6l/a9sqaV5yadgMx4etLkma2s15c+6cbjnW7cKzb2KvyLGxSDndlzw1G9FVCMeH4t4TIecF5EAoP6fTCzsF4u2qScuOpMeX7bgrWw3vujuvPyKUg7SFNSeeVyKC3ce7IEKyuYL6nE7I66TJKyGEXHRm5be1numQ5/8wq4sQQhoLFTd+2ODNyPEkEaWiQIWoesImE37UsgpLHRaKH5db8nk2cn6/ETR5Z/3h+HDLrch5eRFpexnyOmoElc5PPZAyGwrxOZIxYXlH8teUUi8DLt1ePKlHL5afmLi3DBnxPB3iQ6R6Q8mr6cPvMd9ZYXkpoX1YEakexKkEYdkVjnvBQ0K42xnqsz9DXgkh5KKD36zVUP+jMvAScEd+KwghhDQIOsx0y4jDTXmgq2hJE0cxYTkWjnqyLGMVCMs986PSEkpeu4GEMNNM81HIYDmThskUITttRNK6uV6Hkl4qU3a2zJLKaSwiupSeDHnZLFP/M+HovMNtIyKtiE6zFScs+xPisR7DG+Ho8Gufx/6QbfXfLPWpcUyHo/M1d+RlQCcfA4SQh4h2edbXu2jD78Aun9GEENIYqNcInp35iG2F0pDPkwjLsch54+Hk2430S3rwg2gXjVHxMyvnxKzLCJG1lPP6XRouR9KX5JGF0Lsi4kiH706klN16OO6F9OU0kiIsu+WchZS89GZoB80igiH2NozARBkPh5LnMCmO7gzCst3UUZOIusVIG1pJEO9JHGSoTzuUFnHDU3vd5HUvcJsTQsjDRSPMtwzyG7QVjs/RJ4QQUmfooipJ4uNyODr8NKuw7AnJw1avn0JYhlAaSnvHCbrY3D7QIuJM33jq3MXYXE0IjgGXhpuR86aNgFLx5fPT5dIZK7vFcNSjFiunnhRh2RyOL7Sj5ETYp2090i2i3KMLL42afNxMKNtRU7bl9kC9Ix0EXYV4KEVYtqa0gTE5r6OC+uxOeNFxNeUlCCGEXGQaYb4lwMiV9cBtoAghpG6BKIGnZiPlnNZQ8hDmKhCWQcLdCUc9QW2hNMT2pMIS6VgLx1et3ZD8dKaIJCsK/fySHifSNA27Lq1tJq+6v2VM1Kow0sVj1GNn9+gajhwLkoddVzcxYRlCaaVdL+Z0RdW0OYo3Q3zhm2kn/CDe9iNlqyJ/MqOw1JVx75s2FVLyeC9S/jlzvDmlPrtdfV5PeImi5aSLRHAfS0LIw0KjzLfU35vVEF/DgBBCSI3RDnW5oYbqVRupUFj2Scd+S360roTSAjSnEZYqvPYlfJ0j0ivCcld+gCaM6FoxIkb3ydItKyZEfO3K9X4V1wMRwzMmDzhm97y8HUpDUielTHU1Wyuy9iWOJZNuLd/bobRC6U44Or80TVjmRaTti0CdEMF4IGlI226kU+LZkTIbFwF2EI6uAmvLdk7i0HTblXrLCUtdvTfJm+3z2GPSNyPlo/t4jpswVzPWp+YB349JXvclr7qAUn/gPpaEkIeHdvld7m+AtM7L72eO1UYIIfXFtVAaTpjGgJwHIdAm/8eGDS6IBScMbkuHfkviHJIw0ua0aTxpb1F1OOS8+ZHpCqWtKFQczYTjq67qfpT3Q8kjuxCOeuRUWN6SvOt+k7fDca9Xs5yjnj0IoeVwfGEEDAFdEwGlC/vkRDCtybXbEmdnpHznUjoGN0JpcaMNOTeL161bBNm2XLsu17ZEROitSNk2R+okbfjttJzTmdCG5iLxLhqxDRE5fIL6tO1jy+W11ZUH97EkhDxMDMhzsd7nmufkt5Uv/gghhDQUKiz5A0YIIeSig5dzd0L9ewPxIhEvGGdZZeQcwPxevLS/CItHwdnTUsP44chS58+uPG8G2cQIhSUhhBByschJR2+mAdIKz+p6KL8dFSGnRaf45Bs8HxhRdlDDfEBU6tSmq3Lv3g9H10AhhMKSEEIIuSBAsGFI7EADpFXnhg6z2giFZd3nQ9flsFOlMPpA114h5MLTIjfiJRYFIYSQh4RGmW8JdAX1PlYbOWdBlhfzQ8cx3BTeQbzwSBs+2y7njIXjK/NrHzRv4hqV81tTwhuR8PpcunAvz0k++iLp0r3McW1/JE+6Wn6T3HNjkfLokDSOhvjaLXDSLCQcLwTuU0sIIYQQcmE7040w3zJIRxnD67pYbeSchKWKtDknNO/JcTUMPb3qwsvJdQfu3Lvh6MscjXdSzt2Tz1jkccKFOefC0kUcdQHDFfed3cFhSsK032+Foy9r+kNpRwhNt24ZB1G6HIn/Vii/NRCuvy/3LyGEEEIIuYA00nxLMCyd4Q5WHTljYRkTlU0ikCD+RuQzPIs3wvF9tq+G0v7lrXKvDcu1a+H49m0QfToHEcJTt1fTRW+GQmkLt2ZzbF/O1etiHsvxUNruTkWojliw+8L3G6F8Xa7T3SGW5fhlib/ZiOG0LQOHRfAeBM6xJIQQQgi50DTSfMsgndn10BhDeEljCsuYqLQCbSJyPcTdrojNZif4LLq3/LCL17/caZUwbrvz/DZvYyL2kgRykPt7Oxz3LPaEktfRCsvb7rxeOX49kh8d4hp72WM9qCuh8eevEkIIIYSQMvRJx7NR5j/BG3Q3lB+CR0ilwnLR/PXcku96Q2nupdp1+Q5izXoX/Xn9Tm/DVBcAAF7sSURBVKRpvF0Jwmxf/h8MpaGp1yScpjICGXSGkuc0xnooLaqjafP7e18JpVVdfX4mQ/KKrx1yziVJ9x7F5cUBjXAzHB1vnUS7OXfqHOI7C4ZN/OfxQzl1zvFlpdekiyvqEUIISQKdR3hYcg2S3pvhgWclx6ojVRSWOvcQQze7I0KvUMYgzsYynDfv4o21Y/UGqncenskdEwaE2oJLpxeWKhaThrtrnuy5Y5F7rVx+yg2nHywjcEmDMW8qvxz5ChpKNeI7C+xNnT/nB1K+juq936RrjLcBIYSQFCDUZhskreiIw6t0i9VGqtiPg3iDlw+ewjUn+O6Yfl6SNZk+6OWU81pdvC2RNC1FRGdO+nZXJX0qMNsShKUOY72akO+7cn2asFRv7EBKfmz6WxLuVx0SSygsG05YdkvaZxIa+FkIuPOMj8KSEEJItUFnF96awQZJL4bCwst6jVVHqiQsVZBNR/rBOveyN3I9RNeotEmduxibkwgBiHmWXS7e2FY6uBfX5f++EJ/bqdePJuQDfVJ4X29Hrm0SUXmvjLCcCMnDXZFXzD1tN3EtR85rlzCW2NQuprDUfXAuRYRQOWHZJDcQGt5QiM9xSIvvtHMimkJpqMFIiO8L1ByS9x5qkh9N3CCd5sc0H44uBtAejr6F0b17YnluicTn05Az5Za2XHpXOLrHUFpeTiosW0P8LZPmc0SsI9LpSCtX/Y7zXgghpDFptPmWLdL5nmLVkSoKS/Rx1sLRIbEqGP0WPW1yz+jiPWAjHF1xVdF5mpdcvD5MXShoWj7fSBC1KoCHXHi2b6yez353ra5cO1VGWCJ/+5KnNtfX1jLSclsJ8WHEmm9Oy7qAwlKXB7ZjtMczCsspuXHsuOp90/Bj8V118e2eomENR+L3+/iEkDwUtk/eANlrb5oGb130myb9fny536g5NhTWpmHYhKfm54Y0yzF7zn3z0DjJMNuYsOwJpX2SbOeh2dWb2qIRipPm+KVI29DvuIk1IYQ0Lo0231I79iOsOlIlYan9pYNwdEjsNTkPLzNm5fO2nGf7Rb3S19oTUTgTSluILEbi1aG3+Lwg4a0aoZqXvqcNz56n6RsJpXmiy+ZanTd6U669bfq9uTLCUoXuQSgtHnRV+qgFpwG6JY1I63WJ6244Oq+UXDBhqRu0LobSZqkHRgwkCcsrToyuOJE3mxLfnUh8PSf44dg36b8qjXbP3ORpwrLNpFdd9bovz36KsNyT7xfNQ0FFX1ZhuS/hQcDaiddW0C+7sBckvQdVFJYd8lBQUdkZeZuk5bBs4taHU6spKz+vZdWIfEIIIY1NI823DPJ7ht/XAVYdOQGXpO/a6o5PynH7wnxI7g9dHHExxF+od4gIXJfzViW8XKT/OCLxbIaSU6EpEt5NE96anGdHieXkvl1xorFVBOF9uRb96CmXls5IXi19ktcNCeN2KHlKLXlJp563Ejgd60ILy1n3RsWLh5iwtILC7h/VbN5E2OWS5xPEqRU6lU64Hwlxj9iQ3Cyj5iaMCcurIT4sdMwJKi8svQi24rI5o7C0Qxx6w1FvaZByi53b5oToaYTlFak7Fcvd7mGi580llI0Ov1g0Ylnz327Om+btRgghDU+jzbfUju92qPzFNSG1QvuP/SwK0qjC0m8qrMJwN0VYWoExEnmQe1ExHxFfirrOK92KpDsc97rOyo+ef6sTE5a3TT798J6dFGG55s6djYRdTliOuzD8ctMT5ph/+3O9SsJyLxwdDm2xw1it4Mw5YRpCacloO5F7KtTnqriEEEJOTo/8PjbSc31YBHEnq49QWBJy9sKy3HcxYWmFk1/QpSkilNLiWwknXzH2Rojvn7PjxFtMWK6nCNqVFGG5kvAQqERYDpYRlvb6zgzxnURY+rmbuYQ4yu25lAuleaq6utdq4DLShBByEcGLw3uhsfaLHA9HR1cRQmFJyBkJS+9B1NWiDlKEpZ1f6YeYtJnvrkfiyyWIuN0T5gVDMq8Zoeg3pk0SlqtGhHo2zlhY9pcRlpfNMT8/ZLaKwtIK84mEPM2F0tYp1i5F0rQfjg6jHeetRgghF46lcHSaRCMwLYKYq5STeqZf+lh5FgVpVGFpV2S13qf7KcJyIBxd5dVih3GORuKzQqkplBbQuVthHiBgMUzUDuNscaJsJkVYWlFl52j2hPQ5luchLAci4lzLa6NKwnLWCfudUNpqZDTEvast0l66wvEJ3nZIsp9zSQgh5OLQIr+Jlxos3dfD0QVMCCGEVFlYbotYgDhYCMfnR8aEZc4InAM5t19Ens7d2wyluY4+vkERJ0vmeKV7Tl1xac2lCNuYsLSL5uxIeNPh6OI4tRKWOScgb0jZ2oWRqrXdSHdExLYYwb8ubQMi0W6z4ud+rrq0LfA2I4SQC0sjzrfEb+tiOLq9AyGEkCoJS/wo+H0c1VvZnCIs7Y9K0hzHnkh866G0vYW1k+yP1RQRM0lhJu1jOZtw3XaNhSXoC0cX2NEFd25XWVja+jkIpTmdY+Ho1iblROO4O2eQtxkhhFxoGnG+pfYd5lh9hBBSHa6IQIJAwJBS3V9mXR62dghjWyjtf+P3ncF3GAq7Fkp77eD69oT45kJpP5vNUNpQ9qRDJpsk7LuhtH/QXTlmV4YdNHnwk/eHRFjBe3pZrouJyAWTB8tYJOzYMZuGbheGHr/ijmNhJMwfXZa/eSda2yssr24T12BCHc84cbvoynYyoRPRHI56pTnUiBBCLj6NON+yWfofl1l9hBBCqsElEbUYOutXXlWPZa2Gy7TKD/XlkLzdyEGdlafdZoZvggkh5OGgUedbtkm6R1mFhBByMYHA689oTaeMyy5QsyGfsSfnrVD7VU3xNnXfCMjL8qMNj6YOj70t52Ytr+4zSuukmB1S3cWmTAghDw34fcEUmI4G7HPgt4tTNwgh5AJiF/kpZ/lTxoWhmisp4dd65bjJlLTtGKGYtbzOak9JP2f2OpsxIYQ8dGD0D6bFNDVYuvvkd6yXVUgIIRcLeOVmMlpLFeKDcBwWMYQ5lBj6ihVYR0J9zBGEeLwqgntZ/kJwtppzspbX2BmlcUbKDfNmOaSIEEIeXhbkN7TRwJQTeC47TxGGXeuBRqNV17iSMyGEEELIQwSmcWBqyUgDpn1MOrBtJ7m49eVt+2t/s1eg0WjVt8eam3f4eCWEEEIIebho1PmWAOsY2O3WKCxpNApLQgghhBBSIxp1viXAquYV761NYUmjUVgSQgghhJDq06jzLSEoF8Uyi0sKSxqNwpIQQgghhFQfDCddD425qJuuGp95T2YKSxqNwpIQQgghhJwN2NN4OzTm3sYQxhjOe4XCkkajsCSEEEIIIbUFq62eaEGcOgArxGKV23EKSxqNwpIQQgghhNSWebFGBHtbYo/LSxSWNBqFJSGEEEIIqR3wVsJrOdag6e8ND4b09lFY0mgUloQQQgghpHY08nxLMCjp76SwpNEoLAkhhBBCSO1o5PmWYCQ8GBbbRmFJo1FYEkIIIYSQ2tHI8y3BVHiwjUozhSWNRmFJCCGEEEJqQ6PPtwTY33LViksKSxqNwpI8PHQU7cojjzUvPP7EE/+p2EC3Hnn0sf/3JU2PbL/kJY/8b8XvrocHK741sagIIYSQM/9NRkexu4HzsFC0xaLlKCxpNApLcvFpeeSxxz7S8rInv9Ty5FP/8N5/++8OPvTLHy/c/K0/LCytfKHwR8/9VeEPPveXhV/7nU8X3v/B2X984ze9defFL2nae8kjj/zPITJ/ghBCCCFVA/MVsUdko863hKC8U7QbFJY0GoUlubjknnjyyf/+kUcf+4fvG/lv/xnCMWvD/eMvfLHw3h/98a/g2sdbWj6obyIJIYQQUnUgyhYaOP0QxfeKNkNhSaNRWJKLR+dLH2/5f76lr/8f4ZU8aQP+vc/8eeEtb3v7V9pe+eq/CPReEkIIIWcBpp+sFW2igfOAPsJ680sf/woFAI1GYUkuCC957LH/ptjw/vHnP/bJqjTiz//1buHHf/JnCy97qnXvVf/idd/EEiaEEEKqzkWYb9nxghe88Gu/+PHfoAig0SgsSaPz5JNPjj/R8rJ/qmTYa1b78Ec/UXhZ69P/+IY3v/mtLGlCCCGk6jT6fMvQ8rKn/umpp58pnEU/hEajsKSwJOdEe3v79zz51Mv/6TRDX8sZ3kJCXD7x8pe/liVOCCGEVJ2Gnm+JOZZYHLDlyacKZ9kfodEoLAk5Q135RMvL/v5XF5bPvFFPz3608PK2V/7XRn6jSgghhNQpDT3fUhfvwYtoeC6x8jwFAY1GYUkah1zry5/54vs/+OFza9jf/96xwuu/8U0rLHpCCCGk6uTDg/mWPY0qLGEf+LmPFPKvfV1h5c++RFFAo1FYkkag/TX5933zt377V8+zYX92/cuFtle9+qv5fMcl1gAhhBBSdfD7ulm0lkYVlrAfnpjC6vKH/QYKAxqNwpLUN7mXPdW6i/kM59245z7xKQyJ/S+sAkIIIeRMmCvaUiMLS9i7fnC08OzgOw9Xmac4oNEoLEmdUgtvpbU3dHV/Nf8v/+V7WROEEEJI1ckV7V7RphpZWEJQfufAdx9Oo6E4oNEoLEmd8uqvf+3Wx24t1ayBY6/Mf/Ha1/0frAlCCCHkTMiHBppvGROWOoUGQ2J/7H0/RYFAo1FYknp8fjc98uhXazm05LmNnQLSgLSwOgghhJAzoWHmWyYJS9gff+GLh4v5YFEfigQajcKS1BGdb3rL+9/xvd9X80aO4S1db/7mf8caIYQQQs6MhphvmSYsYX/wub8sPPOKVx1uR0KhQKNRWJI64XVv6Pr8h3754zVv5O/7mQ8Vvumbv/V/ZY0QQgghZ0ZDzLcsJyxhi3eeK7z08ScKv/Y7n6ZYoNEoLEk98NrXv3G7Hh7Kv/LJ3y684U3dm6wRQggh5ExpL9p20foaWVjC0H+BuITIpGCg0SgsSa0f3k8/8w8YUlLrRo4fhbZXtu+xRgghhJAzZ7BoW6FO1zbIKixhGA6LYbH10Jeh0SgsyUPNi1704q9i8ZxaN3L8IDz9zCv+kTVCCCGEnAuzRbvd6MIS9tNXf+lwQR8s7EPhQKNRWJIa8YIXvvBr9dDI/+i5vyo0v/RxrAy7WcZWi7aSYneKNl/GrhdtpoxNFm2sjA0UrT/FMMwoX8a4Ei4hhJBakJPf1CuNLixh2IIEW5FgSxKKBxqNwpLUSFjWcqsR67FsfeYV/5RBiPWWEXP9GQThRAZhOZdBoN4uI3JXMghlzHMplLEptlRCCCFnQF3OtzyJsIR9/3vHCt/W/12FeujX0GgUluShA8NP62FeAibgv+FN3X/XwEV5FuIvL+KTEEIIOSvqbr7lSYUlBOWzg+8sDP3AeyggaDQKS3LefMPrOv/u13/3T+piVdhv/KZv/psGLsqzEIBdRVtnKyWEEHLG1NV8y5MKSxiGwmJI7A9PTFFE0GgUluQ8efNbvuVL9bDBMCbef8u393+ewvII/eHBcFpCCCHkLMnJ7810owtL2MqffelwMZ8P/NxHKCRoNApLcl58z/e955OYk1DrRj74rncX3vG9l36ZwvIIGJ50h62UEELIOdAWHgyJHWh0YQnDCrFPPf1MoR5entNoFJbk4RCW7xp+C/Z/qnUjf6r15V/79meffT2F5RGw0NA8WykhhJBzYkDEZVujC0vY0soXCi1PPlW4+Vt/+PwcTAoLGoUlhSU5y1eUr2zfX7zzXM0aOB78r3jVq/++wYvxLITlOIUlIYSQcwYro2O0TK7RhaUuDgjP5Xt+ZKJQDLdQD3t302gUluTC8h3PDq6Mjk/WrIFj76me3u/8NIVl9Md9hi2UEELIOZITYVmz359qCkusfP+a/GsLudyLCo8++hjnXdIoLCksyVnyvd8/8rrmlz7+NcxHOO/GjTeHL3uq9Z9f0/HGb6SwpLAkhBBSF9R0vmW1hCVWvX/0sccKTY88+vze0MU+B72WNApLQs6Sb+t/x91aeC2nZz9aeE2+4wsXoAjPQlhiGOw4WychhJAaULP5ltX2WP7oT7y/8NLHnyi8pOmRotBspteSRmFJyFnyr7/ne177WPNLv/p7n/nzc/VWvqL967/S1Nz8rygsE4XlGFsnIYSQGlGT+ZbVFJZqWLjnF/6X/1h43Ru6Ck89/XJ6LWkUloScJW//znfMve6Nb/raeT1sR374x/75mVe+avmCFN9ZCEv8mA+yZRJCCKkRNZlveRbC0nsxYRQZNApLQs6QN7zpLX9+HkNisfT3o4899nfFKFsoLBPBZtX9bJWEEEJqSGt4MCT23F50nrWwpNEoLAk5H1qebH36789y/gG2F3ms+fH/rxjX0AUqt7MQlutF62KTJIQQUmP6irZdtHYKSxqNwpKQzDzx8pe/tvXptr9738986ExE5aPNzXvFaKYuWLFtnlGYebZIQgghdcCVoq2Gc5hvSWFJo1FYkotFW8tTrf95ZOy/+yomvFejIS9++j/9c9Ojj/3XCygqwxnlCQK8hU2REEJInXC7aLMUljQahSUhldL8sqdaV17Z/vX/gDmRp1mJ7d/+xOX/8wUvfCHmVHL7jOwUWASEEELqiHOZb0lhSaNRWJKLy6VHH2v+z88OvvPvfu13Pl2RoPzwRz/x148/0fLXxTCw+mueRVkR11kEhBBC6owzn29JYUmjUViSi01z0a68+MUv+b+eaHnZfxkZm/ib/+k//NYO5kx+dv3Lhw31M3/xt4Xf+L0//b//x1/5D//7t3x7/13xUGJl0xEWHyGEEHJhONP5lhSWNBqFJXl46C7atfBgrsX6133d1/198e9B0XaLthYeeCenwzmtHkcIIYSQc+fM5ltSWNJoFJaEEEIIIeThAIvLYfXySxSWtPMyTLP6g8/95aFVa3FJCktCCCGEEEJqS0/R0EnN14uwfNcPjhZe2f6aY8dX/uxLhZ63f0fURscnj5yLKT449swrXoVF9A7//tj7fuqIkMH3SeGp2TB//mOfLLzxzW8tvDCXKzz62GOFb+v/rsKnbn/2WDpxDN/hnBe/pKnwlre9vfCrC8vRvGLP8Vfnv+EwjU89/Uzhhyemnp+eVKnh2li5VdtOEw/KRusE9qFf/vixc77/vWPHyv753QnuPFd4dvCdhZc+/sTz9Yp69GWGz0inxoX0ov5PWrYUloQQQgghhJQH223dC1Wcb3lSYfnhj37iedHhv/vYraXnBRiEgrXBd737+fOe29gpvOmtbzsUgO/5kYlD8fKO7/2+w2uHfuA9z5+Ha3w4MISv8ei5CAPHXv+Nby789NVfKrz/gx8+/B7iEWJHz/vN3//Tw2OwH/2J9xdmfuFjhyIT1+J/mx8IHRxH2hD+u39o/PDzdw5894kFeazcqm2niQeiENf++E/+7GGe/+i5vzomtPF9TFhClKJcW558qjD5gX9/eD3qE+ejvlHveu639j17eBwiVcsW7SFJsFJYEkIIIYQQUh2WijZXS2GJoZHq5YsJF4g5HLdCLmYQLTgPItUeV3GJRQvLiR+kwXoj4fmCkLQeL4hIL1bVo+lX4EfcCPOPv/DF5/OK8xBXLO2/8snfvpDCEsIcZemPY/FIDTdJWEKgowx9/WmZqXBH2eEzhL09D59xHC8oKCwJIYQQQgg5G6o637JSYYkhqvA6wdQL5c+BOIPwLBcWhAvCiQ2jfN/PfKjwe5/588Rr4Y1E3BCx9jiOQdjE4oKYxP8QjSHB4wihie8QPj4jHfjs9xiHcIXgtB5YLR+EAe8bbO4Tnzo2rNMKPohinPeLH/+NQ9GWVOYYoovzIMK999CfA8GGz0nCEkOVEV8sfUgD8gpxDsP/KtwhFHEM+YYXF17jmLCEqIwdR30G8U7iM+JGXfl6Rpw4D2VvX2bguAp+CktCCCGEEEJOT9XmW1YqLDG0EaIRYiBJuHS8/o2H8xUhUiAeIIa8eIBQwLUIT4UajiWJK2sQF0gDhKJfVAbzIL3HEkIVcakI/PXf/ZPnh3nGvLFW/Kj3NDbnD/lEfPoZ4eo8TGuYZ2jnbmq5YW6hPw+Cz8YRCxPCToWvlgc8jPYcpE2H9trw4C1E2dlzMWRVPa8q6qypSMR38Nyq0EwSllqfSaLdeyi96dBj67FUb2dsrieFJSGEEEIIISenKvMtKxGWEDlW1MSEJQRFkEVYdKisGjycKjhUwEDoQGDZcyHm0gSmxuu9iDq8UkXn9OxHDz2a8FbCVNzC44frEU4sj/gOc//wGcIJwiuWDnyn+YfARZ5xLsLQYxCKKDP1ltr0QwDrUFyI3/xrX3dYDppOlAHCU8+hikiNV+PReaoQXYgT5+gcSVs/OvcVol/jgBcS1+vQVcx/hLjWMsP/SV7CNGEZM51PGVtICXlF+nSOJdqA/R55Q1yNNjyWwpIQQgghhDQCp55vmVVYQhDCc2aHj8aEpQoziCGIAQgTzHHEdVbM6SI78KxBwGAxGHg3NUyIn9gWFzrnMUnQYJinDtENxsMHgWnDUxHn5wGqh1LD14WCYnFpnjRd+OwX/oEhL0iDLzfvndS5oLpyri6Q48+DMEZdQOBreXsvIOoLotTWD9IB0e1Fux+iWi7fJxGWyBPigHCMfY9yC8aD2mieSQpLQgghhBDSyDQXbaNoI2ctLCE60OG38/tiwhLeLQghP/QVok6Ha+I7FZYY/unnDGKFWHwHoRnbQiMkLJoDMQXBCPGENCBOiCgdRmkX74HnC2IP8UP04Bx47nA9RLEKJgi4LMIylhZ45iCYdCsNW26IOyacUcYoJ7syq11FNWmhpNg2KRj6q/EiDPwPzym8n96QZ+S92sISeVRRCdGetB8mXgiot1TzrcOkKSwJIYQQQgg5e7rDg/mWHWclLCHwgiyUg46/mnr38H9sQZnY/Eycj30mNUy/+I2dE+n3vNRFeGAxgaJeLzv/0Itgu1ItxKWKXYhRnAOBA0+milAIJ4jPpKGw1hOJsJEf9RRquLqXY7n9P72gSxuG6+ceog6S5irauaNpZtNUDWEJca3iG+WZJCpjYhRho+yyXkNhSQghhBBCyOmZKNpa0ZrOQlja7SWyiBKIgZgg0JVcISzhzQsJ8xz9Ajp+mG1McMJ0f8nYarLqIS03xFKHhaq3TIfVxhajgYdPvXy6BQtEJIalwmOqItbOxdTyTBKMKEcN01+XJiwxjDZp+KmdV4qXAfblgDX7cuC0whKeawxzDgmLJNnzYse13GOCmcKSEEIIIYSQs2OhaDfOQlja7TOsYc6eijWdB6hixu8PqcNpg+xPCeEJIRbbbkQX9vFbiejWH0kLuKjIii3qo6JWh9ciLB++HVqq6dfr/FBTeDatMNa0QTTHVo/1whKfvajSMNWLq0OC/TxQlB2G6OJ7lDvOwUJFaYsLwSB67Sq2Pt926PFphCWGH0Mcw5vr9yj1+5Aifch3kjc4JugpLAkhhBBCCDk7TjTfstLtRpL2Y7SrsgbZI9J6LSHU/KI7KkKtGMM1Kiq8t0qFSNKKseoFxeqjNm4IFwgqCCsVKggLQ16tlw5CD55Eu4Irjum+jDZM9Y6qiLXDfG2a8Dm41Vm13PxCNiq8VTjr9hx2bqgd8ovFfTAvEfMjIfKsULXbhvjy9oJaw7Oe4NMIS53bmSYqYfge50Eg2+Mqlu3KsKfdx1Lnkvr2gmN2DitEfDX3y6SwJIQQQgghjUjF8y2rLSztMEbMX8Q8P5wHcQYBZMUiBCK8eRCRECM4V717sXmS+A5hZBkaCiGJhX4glnAN4rAeOYgKeEzxHc6DuIGohNl5mDB4A21+dH9IO4wX1yAOXI+hsEgHxKtufRKMhxLXQeQibnh9ca56f/0wX12sCGEgbogtxIPzVRBBzOOY5kUXB8JnWz8Q1Vq+yIOmEZ/hYbSC/aTCEsIslBk2reUGoa7zdLUcNH9IjxV3p93H0ots69G1bVLbdLVWpaWwJIQQQgghjUpF8y1PIyzh6YrNkdQ5jfAcQnxAkEHwxIY8QuzA2wfhhHMheGIrvqrI8ttqxAzXQzBBXEKgQOjG9k7UxXZwHgQXPIhJixBBlGp+MHwXwtfPI8UcUAgjhIc8Q6xiziY8jygn3XdS9+7Edxo/RE6SmIHXEx5gxI1yQnn5lWIRtg0LXr9Y/eA6DNvFOZoXhOeHnCJ9sLRyxvcIyw+bRpxpZrdkQRmiLCEsbf68V1q3ookNsc76EsSXBdKuCzb5Nn3SeCgsCSGEEELIReJW0W6etbCk0WgUloQQQggh5OKC+Zb3izZGYUmjUVgSQgghhBByUrqKti1/KSxpNApLQgghhBBCTgQ8lvBcNlNY0mgUloQQQgghhJyUeTEKSxqNwpIQQgghhJATkTrfksKSRqOwJIQQQgghJAuJ8y0pLGk0CktCCCGEEEKyEp1vSWFJo1FYEkIIIYQQUgnH5ltSWNJoFJaEEEIIIYRUQlPR1oo2QWFJo1FYEkIIIYQQclI6iobObjeFJY1GYUkIIYQQQshJGSnaRtGaKSxpNApLQgghhBBCTsqNoi1QWNJoFJaEEEIIIYSclMP5ls0vffwrFAA0GoUlIYQQQgghJ6Xj617wgq996vZnKQJoNApLQgghhBBCTsZLH3/iK6/Of0Phs+tfphCg0SgsCSGEEEIIqRzMsXz3D40XBt/1bgoBGo3CkhBCCCGEkJMJy8//9W7hjW9+a+EDP/cRigEajcKSEEIIIYSQyoUlOsB/8Lm/LLQ8+VThN3//TykIaDQKS0IIIYQQQioXlrC5T3yq8Mr21xQ+8xd/S1FAo1FYEkIIIYQQUrmwhI2OTxaeHXwnRQGNRmFJCCGEEELIyYQl51vSaBSWhBBCCCGEnEpYcr4ljUZhSQghhBBCyKmFJedb0mgUloQQQgghhJxaWHK+JY1GYUkqo6lo+aK1pJzTJue0sbhIlWhvsPbULPdA00P4bGjOcG41nw9ZnkmNysPYji4KLVJ3ORbFwyUsMd/yLW97e+F9P/MhigQajcKSlKG/aIWizSR8P1y0g6JtF623gfLVJ3lrNNBpufIQtLvNoq00UHrH5D5pxDY1fkLRp8+GsQznFqpYn+WeSY1MvbcjCN5p/ixGmZG6y7MoHi5hCfuj5/6q8NTTzxR+7Xc+TaFAo1FYkhN24qyo7GygPPVW0CGuN25I2i86q0VbaKD0DosY7m2wcr5yis4wheXDJywflucPhSWpSFjCPnZrqfDMK15VWPmzL1Es0GgUlqTCTlyjispKO8T1xjw7dqROOsMUlg+fsOTzh8KSwjLFfvQn3l/4tv7volig0SgsSQWdOBWVmymiEkM2L8l1V4s2GpLnDXWFB54TnHc58sPcJh0u/O0OD4ZizUo6YvNZeiW8WQmvy3zXLceRp5sSrp0jlpdrZiWM7oTOH473SJrHXd4GTL7xXda5YE1STlfFxty1yO+q6cwPuuttvBOReDtMmONyXp/L+5TkXcNoS0jnmCmjDhO2P1/L86qc25WxLIYj+dN2ck3+VuId7DB5m0mol2Epjyb5fraCNPv82zbbYdrjiGmz2pavRvI6KJaTa2xZB5NGvWfaIvdLd5lyxd8laU+X5Tt7/w5I+q5JmQ2kCEubl6EKhGWfuZ8nMt4rScJyUNLS4fIxKOfOyvf2Xu2MXPN8X1K+6yojBIcSvhuSurNpGZK0XJN8D5QRlm0p6YvdI9V4/sxmfP70VRhvt1yXk7rO8vxpTUjneMLzpzlyX9rnT2eGMojlTeuhJ/J8w/F2Jyx7TbseSfid0riuyrWxutTnQJuc4+/1cr+d9r5oDuTMhSXnW9JoFJaksk6cisr1kDwvC8fX5LotObcgf30HSUXeXtHuy9995wXpN0LwQMK+bzqr9gfzmhzfMeEVQmlekP74W9Mf40kJf19Es157w3UMcGzBfK9hIB3LJv51CW8n0lGJdWK1nDbM/ztGIGy6dGtHHfHeMefrebvO86Gd1nkTxh35bkrSuifXb5swelzdrpu63ZHrliKeFlue9yWsA+kElcPPsZwy6dGwClLf5Zg1125KmguSx7yL87bkb1/yV5A0j1boadI2Oydh7Zj2Mm/ysyXh2zYaJO935e+BScuedBS1bdu8tGXw6NlyXXHtaTNy/27L8X35vBi5L1cljRsmnStOwHlh2WTajN6rB1JHfRU+k2z7WDT3apsRQtum3doXYl3m2eLRYcI9KWm5LWXjO+0tclzLq908s7Zcmc5naEdjGe4R/xzQMt3OUKZtCc+fbfPM9s+fefPsWok8f/xzb8bcsxrGsnw3nfL86XJCccM9f/ZNW8q7NmGfP3vyeapMWSDce+7YZMLLkaty3ArLBZO+PXOP5NwLjS3zu7iV8Humz4H7pszGTNxaZusmf5MujSv0pJ6fsOR8SxqNwpJk78QNm05wWkflrpw35LyIu+4He8J06ppMh+y2XN/t0nDgPADjrlPYEekkNpv0tKZ01gZNB6DNdH5vyvErrpOsgrNbPLMh4dwO+dHfKeM5UPHT68r+wHXmY0PRFk28OdNx2ZDORt51Wnclzb2S/i7TybNiYFSO33KdFF+3l02Z9BvvhQrXlkh5DlUgLFuMeM2ZsFTEp3kh+kwechEhcs3Fqe1HO3c9RmSeRFgemPbRZITOlhEs7aYT6juDtj0OmTBvmLqadu0uq7AMIT58T+vokhNKKlq6ytyX05Gy9Z3ya5E22y73ym6CpypJWMZEZZD2ceDu824jMvXcexKnH1FxXyyNEYl73B0fd+18UdLS78r0niv/0whLrbdJJ2BU8Kc9f7Q+uiPPn1sZnz+TzpOmbbrNtbVtKZdeuQe6E54/Y5Hn+V25HwcjLwBsOQ6aMO3zZyHD8+e6nNPm2lJB4rZpXJN71OevJ/ICZcgc0xdcva4tHYSjc8vtc6BHfoObTbtbNM+qFlMXfa4cZ8LFXEW5LoUl51vSaBSWpHwn7q7xShSkQxQb3tMj38+meAB0+Jd2eHw47e6NeH9E4Ch3jMegPyHuTvlRb0nprN2R/HkvbM50AmwneSvioTgwb+AtQ5GOl2c+4a3ykOt8+I6dltVSJMwBVx5jCYKjV4RKTKDtmM6rCtDrkfOWXYd4WerFd2aapBO/WoGwzEc8O3r8Ukhf0XRAOqb5SL36MDclbbmEjnPzCYTlrQTPx+WE+m93HUo/DHNbOutNztsUu19OKiyvJNy/405w9qd4++65svQe9v2ENjCYUD5JwnLKeIZz7oVOrM3YF1pDrk4uOQFaLh22Pd9xx1fds20mxFdznnLt5qTCss28fMkqfi0Lcr2/Ty45j61//nQYL13Sc++qa2vTkZc/Sc8f2266U35bVl07vpPy/NmL1FfsuTlqnhV75sVKv3v2+tEwE5Hnq70fx1Lq42bCc6Ajcn/tRF6GtEReRpIaCEvYj73vpw7nW2J4LMUDjUZhSY52bPStabPpXMxFzr9sxMeYs1njpWg1AnUsYjqU1KYhNhxx2nj6mkJpSNGa/JD3RYRCrLPmvamxN9gdprOzmNAhXork5XJKJ1cZNm/El6Rzkk8RoP66iYRw903HbCzD2/pWKcsxybe9fiLlet9B3pW6iNWtDjXNKixz4ehw6lmJp9L94tqkPYyH0uqWXliuViD6swjL6YTzBsrEsRLii6RsJrTTagpLK747pG1flpdL9r7pjwgy7wHrigiEvpR7ZSLh/ordv9omdiOi33q7fBwzTqC0mPtOmXMvmnolXmst7vnQ7l6EzCYIUX3Rddl4LE8rLC+Zckt6/txMKVMdnbAnYYyb/KQ9f9JEq768uePa2kCZe1SfPzdcu9FnzGDK707ePPc2E54/OpIj7WXBXuR+Ug/ujHsedrj8xeZh2vvxhvkd9GnT8h02z4HdSPq0/cfytx3Kj7Ag5yAsISi/te/Zwo//5M8efv7s+pcpImg0CksKS+OxbDYeh82EH/nYHEZvM+bHNs02Iz/s5Tr0HdIx2jfh7DhvQayzlrZq5YyLIyYSxzLkp9yqmCOhNLetYIR3msdyLKSvzLlpyjFtxcmJcHQOlQrKPZPumQrqoZDBsgpL9Q7cDEfnte6KgCknMK+YFw6atzsJwnKlysJyrMx5JxGWK2csLNvEA2XvoW0jgsYy3Jexe2bFiZiT3iv+ZVfMi57lOTTvPHbq4cpJfpddufnrNW894ehQZH3Z1enExZIr080qCsuxCvOb1Ib982c14/OnP8N9nPb8mIzcoyuuLWR5/uSr9PxZkDYQxOOq/981L5+WRaSWe0njheV8hrSNmefAZkJ4p8kfOQdhCfvjL3zxcEjsB37uI4XWp58pfI7ikkajsKSwTBw+qQvTtEc8iANlwm3P8BY9ZPCMaHx9kbe6g+I12HYez1hnLWlonnovbEcx1kkr5zmshHZJm87Lsh6ZSjwGwQnDpE7gqHl5MCJeJhVr2xGP5aUMHsuDUH64ayXC0tZrv3T2NhO8gl5UqtfkkuvsP4zCcjeDsFwLpUWW+o3XbixBWMY8SLMpHkv17k+d8pm0YDr4sYWjsszlDS5N4+b/YXd/e8+QHYJ9X8otiNi46zx3G8bbhXS2unSWE5ax54odTZBluGtW8pKOJfOMby4jLJMWtzrIIAwnjIj1z5+Yx3Iog8cS/98+RRmMmvZ717Q1XTCnVcr/6imEZVuGdMSEZUtIHn5M6kxYwn7yg/9DIfeiFx0K/veMTVBI0GgUlhSWCZ3Uq+aHXzsCfl6ND+u6eQOuKwjmIuLhpukkaRpiQ8vsqow470bkh707oeNtO/2rIsJiCxzoioK5FGGZT/mx75B0DZURQFdTRG1/QseuMyTPP1VPyo0youa2HPcLprS6jl1nyD7H8m5Kec6VEYNeQPVKnN0JHay0+VJad34uks4XXbqAwrIv4Z5ti3gDfWe4O6UdzyYIy1hd3o3cMysuHcsJouZmmXvFP5PyobSaaLMrg1hb1fbU58TflrSl+RCfv5bGlBFYXuClpeV6RmE5k/Bizt+bsXrrlGfAYEr6ZxLqUZ8/vQnPn7RVdTXfc2WEpY4eaCmTx+6QPAXDr3x6L+G+1zxdKVOfLeblykHkt+h65IVmVmE5mSLGhyV9HSnCUp8DsfUJclLXk+y61IewxAqxTY88WnjBC194KCwffay58NzGDsUEjUZhSWEZ+S4XSkO5Ztzb+T33o9tm3trnXUd1NqGz5Ve59EvPD7sO9ZATUr4zfzmlQzwW4quHXomEmTSsTDtII04k3w7lNz1X76Tv7PpFhfwiL9r5OHAdx5ZQWnCpu4yoUVHY7dKti9bcdSLUrrSZC0dXZfQdZL9S51TINixvM9KhXHJh6SIbaVuOaBnY8rLbMqxcQGGpLwTuG6GVk7adJCz7nEC5E3k5s5sgLHfCUU/wWCi/KuxipHOdM21xqMJn0mREvN2Xl0797r645+4LK5x1e47rlfY7jXfPbz/SE+ILbPWH0tDugYT2oXW5ZsK0q5uuRJ4Dw66tr2R4/ugKuj2uPlbD0UVwYt42vcfKlfNMmRdbXe75sxTJ4x2XR//8ybv2MO+eGZdTRH7seb7nwtX5l7oFUDiBsGwzL0Ly7gXAjrS/pjLCctrkIxdJg31JyX0sa+yx/L3P/HnhX3/3vym86EUvLrywKDAxLJZigkajsKSwjNNhfmj7jUdA9zdckU7krnvzqz/S2sHfkI7vuunY5lwadNGXJdNZWnNvuhfNubdCaQ6W7WTrYh1erOrb+U3puCXtlZkkjOxecPckjK0Ub6svx20pozty7WY4vn2JdozsMLh8KK3Wq+Wt5T+VQdQMhNKQ21tiW1K2a+Hoirhtplx25Jpd0zmMzcfakvzcM3VRbul7L6B83WgHcz2kb02hQwS3Td62pV1shqPbSVwUYWnD06HMuq/hPXe9vpzRFZ/ti4a7Eo6u8LuQ8MJn1dyXq+HoQl9JwtK2ozXX3udO8EzKhdLiQv2mo74VuS+ShuF2GIHSc4Jn5WJIHj1gt42YD6VVS1XsT6a0j6x1aZ8DOnxzO+Pzp9M8o/3zZzLyom3fvHzoMOf65/1kRPQkPX923D16V9rGVgXPH3uP3nLPjHvm2ZxFZE2Fo3P9vRC+eUJhqffdvthyKM2/9S9kk4RlzrS3Tclr0u8V97GssbBUW1r5QuFNb3lbofXlz9BrSaNRWD605ENpXlASQ3LOuHuDf0V+/G6L96I7pfN/U34A5+VzLtKRHJPvFuWHeDIcH+qUc+EtSLr8eX3ytvdmOLqUe78cv5OQFu1AXErIC+KZMOLnepmy88J0WvKn1/ZF8jchaZt2nonJMuXdHUoLJ3l6JD6tg1GJa1CuaXNp0DqfkO+SOlUDpjyT6iKpU+dF2SXxHN+RfE6FbHuz9ct1K/J32HTuZkx6YnFqvOX2gfNlq/dN1jrwcYwlvMxJSqNvkzmpw0XpuF6RNjIWuX5U7oM5c+2kufZaKM17mzbX501eRuWe1Psyds+MRe6VcXOvlBuuWe6Z1BGJp0XKTO+LuZTnUJAXFfdP+Kzskfi7Ep4Ll6V8lkXodcjxmVAa5RBrH5XUZfMpnz8zpqyuuxdFtm3Enj9T7vnTGbkPk54/feYetc/dwci9F3v+zIbk7ZpunOD5Y8tjOPJMi9Vzf8JzoiWlvV41beJqJP1jIX0u8iVXbqORe4/7WNaJsLQeTIhMCgoajcKS1NZrOsaiqO1vq3RiYh1VXeijicVEGvglWpa9K0n9PX90rn2OxUTqXVjSaDQKS0JhSUqbwWO4nXp5c1Iv3JSbNCpoy/A+wWuUtOAUqZ/nz/1Q8uzh+TMekocgE0JhSaNRWBJCYVmnDIfSghZb5n/MHWtj8ZAGROfMVWu7IHK2z5998/zR/zHUlYvTEApLGo3CkpCytISj++mRGv/GhgdzeTBvB8MG+1gkpIHplbbMdtx4z58p1huhsKSdhX3+r3cLf/C5v+RCSxSWhBBCCCGEnL+w/PmPfbLQ8/bviNrHbi0dWyl26AfeU3hl+2sO7Vv7ni3c/K0/fP77P/7CFxPDUnvfz3zoiBia/MC/L3S8/o2H4eEvPuO4T+cvfvw3Cm9529sPz8u/9nWFH56YKnzmL/722Hk4Njo+WXh1/hsOz0Wcv7qwfGIRgTAQ11mLldPEM/MLHys8+thjOpLlmLj87PqXC29881sPyzB2/a988rcP69LWq697GISrrf/vHPjuwq/9zqfLpu/DH/3E4fm//rt/QmFJCCGEEELIRRSW7/rB0cILc7nnxYI1K0Q+dfuzh+Kl5cmnCj/6E+8/tGde8arDa1Vc/tFzfxUNB/bSx584FD1WPL3je7/v8BgEyo//5M8+//nb+r/rSBohNnEc4fzY+37qMAykAwITYlbPg6B6/Te++TBN7/6h8cMwcQ4+QzydREQgXpTRWYuVk8YDIY38PfX0M4ei/aev/tIxUYnyRfgf+uWPH7se5+M7iHqULQyiHMemZz96RFQiDtQjhDvKFtfgPLycSEofrlPRa19CUFgSQgghhBBygYQlhBgsy3kQc1bIQUi++CVNh57EtGtxDUQJwoDQwTF4umJi6j0/MnF4XL2MECYQThCIeq16TxG3vf4DP/eRYwIK1+BaiNKYJ7TRhSXKB9dCEMb2IoWnMogn0wvLlT/70vP1Z8sGZQZxCRGpZQ5PJcL4zd//0yPnoVzxgiFpeO6b3vq2w/qjsCTk/MEqgvmMhnmcOfm/9YzTlTNx1hqko+0hyOdJaJH012oLFaxUigWrhiosw/bQePORm2tc1oQQcmphCQ8fOv3f/96x1PNUBEK4xYZhwnuVdj2GVkLA2P0wIXJiYgeCEsd1yOz7P/jhRK+YeltV/EBEQcD68+B5s2LV5h/DM5EGhB/br9MKPggjnLt457nEvCItGEaK8yDCYmIW8cKDiiGiEIZpwhLiHZ5jpA97inphqHUDLyLC0rJAnlHmEIfw8MbKGuEG55lUg1DFdzrUFWmDRzlWBzgP6fTfwdMMbyXaR0xYwttq00xhSUh16Q+l1R7LmW7cjf/nz0HMaZy1BulYqVJY2BB9vE7zeRJmJP395tilMm2o2nGrJQnF1ki8m1Ws0/NiLFLWhBDSUMISw1vxLMNwSHgV0fGH0PJz9CDycJ4KGwiBmJBImv+HayEyYgLSzyvUuHToqgocL6pgKlggfpBm/P/s4DuPnQeB59MAMaXDc61hGK7Nvx6D582eB7EMYecFrA8T3lIrWJEveH71ewhjHeprhSUEKYbzqrdPDcNaVYipqLOm4hHX4oWB1mtIGAqL72PCTj3HaCNpCwZhOCzy7L9DO0LaUSb6EsELS62/WLooLAmpjoCbcbZpRIC1/odUWEKAzFUprANXdhdRWE7LsQXJq7VLVYx7X9oq4u5NOe+OnEdhSQghNRaWKvrscEUYvH52TqIKGIgQCDc9F0Mg4XVL84giLJwXW6108F3vPgwL8zURH0QkPkPIqadPRVdsGKWKH/X84X8cSxouqsINokfFoXofIVyRt+A8eFomGC4KgQgRpvMSIfK89w/nIUykH8fgsYMnVePAZ4hNFcN6jheWEIYqvFX8IV0oH403zWNpPaVpwjJmeGkAsYjhsLHvEa8u+IP0oB15ry2u1XQmCUscjy0SRWFJyNkKqUIZwfcwCctqUngIhOVSeLBJ+3mXZVp7prAkhJA6EJYqzCB85j7xqUNBBPECjxoEgw6DhNBTQQThhHMwRBXz61TYxcLXOY9+QRk1xIcwg/G4QYTaoaYqivwwTJ23qYJJvZKxYbnqzVThhvTD0+a9rhB+OM8ODcZniCy/Aq0KP00rxHnsPIhl5AlhQ/zhGr86qgovTZ8K4djQU/Xgahh6btpw5EqEJUShemeTBB8EpdYXhKEO51VD+dn5uEnCknMsCalfYYmhh1fkfwiMjoRrBop2Tc7Dno7tpxCWg9LBtnFhniI8YfAq3izaZDg63y4v13RF4mmR77rLdOgH3bE+k6erId1jFqSsVBisyv9tLp/4f1rCnA7JQzuHXF6zzBVsM3Eir7Ny/biUXxDBgnBvhLhnsUnOvyHXdyUIS4i2O6dof0jPcEoeuyNl2Z1Sd+tF23HnqbBskfDnJU9J4XRLPWvddGXIx6jUVVIdjriyHTFt6lrkWi8s21LyPhxps7H7pJWPO0LIeQpLdPQh/vxQSOvRw2eIB/1sPWEq7mCxuYQQnhAYMW8lRCvmAKr3DmHhL0QujlsRoquaelGrC9OUE5ZIW0hZHAfpw5BPHYZrz8NneFZjW3QEmXeqwjUmBP0CSLE5oCh/G68KMaQHos0aRHwwc1CrKSxRByjjkDCf1gpwxIt5n8gP6ljFJV5Q4Hr89cKZwpI8bPRLJxzD+rak01frzl4WYbkWHnildkJp6Oy+iEjbkV2Q77ZEBOzJecMnEJZTcmzRiKFmk96Not2V8HdCaVNwdMAxBHUpEs9EKO8F8nMsr8kxFSc78vlaShi9ppz25P9ek8+7cnxHykrP6zFhNEtb0bg1r7uh/Abo/eaFwIHEsWuOTZtw9yNljzK8L8fXxQ4kDbb8WkxZDITSMOqBjG2vTdqWpuWexGPzOBUpy6mE8DQ/B+68TWkvmyaMAwlz3IWh9b0r9b0r506VycuyxO3v51Y5vmDauubnvmkLBXNOTFj2h2Rvt/fIJt0nWdoOIYRUTVimGYYyQuDZbUFiW3aoF87PxVMxg+9j4UPAIHzvNcQwS3hH4TWzwgvh4PwgHkQMkdXhp/CsqcCKxeeHwqowhCdWvZ6w2JDUJNEGT6V+Fws/aa/KpBV04dXU63XuYZrpkN9qCUsM80Wdw1NdyZxHFdhID+oSIhMvAqwYtgsw4fNJVuelsCSNxkjCzbseartKaBZhCbsSjnq7DlxndlbOmzbntYjARKe2owJhGROVwQjXUXOsXTrPO6YclyV9vpO/Go4Pk0wTlvlwfAhmkxF8HRnCmk8ozzFzfDQiLG7KsQmX13URCK0ZhCXKfdCke9WIuE4j7rZE3CiLUn4jkTRasTNgRBj+bptzlkL5FU3vSDy2PjuNAGxLKcu09hwbCovrr5s0dUm6tyJibt6c1yTlUe6FxHCkvuzLDK2HJclznxOCWjedVRCWC5E2pm1nJzTuqsSEkAskLHU4pBWPMY9T0oqfuhKpDqf1BnFoxWNsqGXM82iHXer8S3jQ0ryGfvEe9aBBSGFoKQQPhGJMIIbIAkN2pVyEWYmwxBDc2HcQZHq95gteQ5RrzHQxo2oIS+QFohqWNt8x5nlWbzC82lqu5cwPnaWwJBeNJtfp9natzoXlvch39yRPQcQfOul3I+d1ZcijFZaTCaKyPSK+FF2ZdDylk98Rss1vtMKyVz77xXw6RFQ1ZQgrJiyXI+eiLO8bQX6QcN6ghDGZQVjedMdVsHvv23worbSqccc8vgtO7EwZEdluhOpShjrXdnErpT5nqigsd117svlRobUmwsvXa4uI9MWUeHNy7WrkZcaWifuyvKTxTLqyPamwVI997D4ZytB2CCGkasISwgpDUWMCwi46o8Mv/SItOp8O3/kVUjHsM7ZaqI0bQitJ1CJ+FU4QTX5eop5n91BEemNh+u1GkGeE74cAqxfSC0t4NpPC1CGf3stqV79FWeAvPHnwuvp4MQTVxqvDSXW4q/csQsCpODutsFRRCc9tbLsV3RYE6baLFdmFfoKsxguvNdLhTRdFQv7w2c9DpbAkF43eMm9X7te5sJwvc123EWRjEcN3dzIIy7vSKd4Px+dmDhth6cO/7IRUU6STr/MD8xUIy1woebs2RGAOhux7CyYJy6sJ4mDTicelSF6nUgSZF5ZeQCYtCDNvyibp2hCODyVuFoHYFBFZW1KPSWWlaRlOeBGD725XUVjGFu+x+W4OpREEsTa8Hcp7u+dcG9OXGbORcxFfj+T/aigNCT6tsLxkXsyUu08IIeRMhWXSEFddIEYX3YEQgkiEILOiCEIEx+Gtis0ZjAkRv/iN35/SL9YD0YXhmd4Tieu8oNLFgqyAQlqQbjsPVOd++iGZQz/wnqiwRPx2qK8NU714KrC95xZlgOshwFSgo3xjiyhpvAgT5QrRrAvgqHcQIjcYT/BphCUEHsoBliQq7dBl5MPv4an5TlsdOGmOJdKOYzaPlZhe7z2gKD8cj22VgmP4LuZ9pbAk1aK/jLDcaHBhWS5/5faGzJvzlkPcqzeWIQ6bzuuuk78Rsq0M6tMKgXsjlOZW6ly/a+G4ByyrsJwpIyzHTlmeWh9jJxCWYwnXpl0f41YZIT9TJiyfx7MWlvmQbX/XNNQLO+3yaIdMd4TSUGo7HH61SsIyS9u5xUcyIeQ8hCWGU0IcwRsFoYchmLpQDoScFV7wokFYQJRBxGCLEAgSeLt8B173x0yaX6lzKSHOECYEHeJGGpAWpMnOvVThhbThPIgZXAexYwUC/sdQU3yHsJBO/WzFsw7TxZBbeGEhSOFtRN4g6Kwgxnk4jnwiPxCF+Iww7QI1SK+WJdKLuHXRIyskVcwjDpyDvyhHxGsFrZY3vkN6ca4OT7ar1p5GWOowZuQNeYqZeopRpzgP6UR6UA+av9jiRlmE5Wn3sdTrfd61TPwLD7sQ1WmG41JYknLoULp67OhVQ1j2hGTPTBY0ngXX4bfiRueojmcMs9t08vtSxFI5QaNARPZKeBsh2atXDWGpXqeTDlk8jbAcSMmbv749JK+QW05Yjof68ljqQkSLp7yf7pkXRRvhqNe8KZTmj16W+6ZZvps4hbDcM/lLmutJCCHnLiy1Ew4RpkNTMWwTQiu2wApEBoY1quiAoIh5uiBCdM5dWtzwmEGkQPwhPAhNiDI/rBZpgfdUz8NfCJuY1wlhIgzND8SnDoG14ano1DwjPHgikR54BTVszYduUYLz8X1s7ijSjbiRD43be/IQN4a42rBQXihLP/QV5Y3jWt4Qln44Mrx95cpa68PPn8TLARxPM/vSAC8i8BLApieLKES8Pqxq7GOp1/s0aJnEXmzgGL47qZeUwpJkZTpBVO6F8sMz611YNotwjs2xbAul4avlhOWMEeIYergbSkNiO0LyHMtuETJ+y4U1sTlJX3OFwrJP4uusoFyqISx1PmlsjmWn5HXojIRl2hzLm+569by1R0Q48pL2YFTv3vXId4ORFxVnLSyDSXNsaK9un1OOSfNSwL8I0Rccc5HrrpcRln0Jbafdtdks98kQH8eEkPMSljQajcKSnA1XQmlrAd3Go6fGaaqGsLSiY9p1yHUhl9EKhCUYjogrFTJ2tdKWUNoGw3vPdD7idsjuFY4t3rMQjg571U7/lQxh3TmBsASLEXFot5HoPyNhGUJpUZsRF+Z+gvhZMuWTC6W5huWEmM6pHXBCSbc36TihsNxxLxGyCkttLzdcfV8P2RZ+0vaoW3vsuXT0JLwwGDBlO5RQV61SJvdDabGhJnN/rUTuk1HXdvQ+4ZYjhBAKSxqNwpJcAJqkI9teJ+mplrD0e+fh/y3TUQ8VCsuYuLL7K94PR/eVjA3dbDUd9qx7K/pO+o1Q2psTx++ZlwLlPKBr5iXCRIXC0u7x6PN6tUy8pxWWraac7xkBuBq5/pYrH13s6FYoPwe1I5SGFd+T6/dDfO/TrMLyRjg+5zarsPR7sa6Y9N3JkJ/ghHksvXdMfudDaTsefTEzmVJXmje7x+aqKbuQ4T65wkcwIYTCkkajsCTkLBgLyZ6YFvnuUsbr0PEekQ4wOs3XQ7aFXjQef267HJ9ywnxcOuKIA8Mlu1PCvheO7lVYjpmIIBuSvMxLvOMh28qwSP+0KYekfAbJ41SkPEdNecITmMXDnZd4fLl0y/G8O35Jjre4cp6QeBH/YMr1tnyuh8qGWvr6nEl46ZLUDmPhTUqax0zZxoZix/Id5CXEdZP34QrvKS2nrsh3OVOuNr9N8v9IhrrSspqU68Yi+fPlOlfmPiGEEApLGo3CkhCSgO7pN8OiIIQQQigsaTQKS0JIJcAzA88e5rLti8AkhBBCCIUljUZhSQjJjM77y7KADCGEEEIoLGk0CktCyDHgrcQ8Nq5+SQghhFBY0mgUloQQQgghhFBY0mgUloQQQgghhFBY0mg0CktCCCGEEEIoLGk0CktCksAefvlwfC+/s6RJ4myug/znJC2tF7R+zyJ/zRJm0wW/N+o9n6et1/7wYP/LkQtQl23h+J6fhBAKSxqNwpKQc2Q1PFg9dfkE4nA6xDezz9KhLYT4pvW16JwjLfMXtH7PIn9jEmZ/ub5H0WbrUGhfCdm2oMmaz1pxmnq9GUorJxfq5CVPJc+eq+7ZsyL5IIRQWNJoFJaE1IBO6YxtFO2gQpE4LdfmG1xYtkmn9AqFZdWF5Z2ibdZZeVTSbgelbXTXad2etN22SBncL1pX0ToarE3fjNThnJQHIYTCkkajsCSkBsxKB21I/l6t4NqZCyIsLzq1FJYrdSgsT9NuL1qbuNqg6Z9nHRJCYUmjUVgSUj9gSOB20dbk87p8zmW4Fp6cJencXZbPlktFuy4dQIjXzozCcliO2WGKGKKHPSlvSniT4fh80D65FmkflXNvSljl8tMs5/Wl5OFayLYnZrfJE8rkhlw/FeJzWFskP/OS3vGQPNdtyKQH4ijJyzRgzpuQ82LCskniSytXbSd63g0JP4uwHJM2tRMpXx931qGpHRJWi7S7ealvpU3CSipP326HXftplbq+Icc6Iu1RhdmMxINzR1w7u+TS5du+b5eIa87cL1k9pL5ch+WzLZ/rrp765LuClMWYi69b0qDXDiXE2y3h3hSB2irlOyj31JQJQ8NvNeU2myAMeyW8ebFp19YR/mrk2TOY8KJq0D2LfNm2mTrukvqflzR08GeCEApLGo3CktQr6OTclU7RrnTK2mqUFvVSTsln7WwOZ7h2QdKP87fks4o0neu0If/vhQfDbCfLCMs5OTZnjkGQbsrxe1J2BxJnp/Ng4Njtou2LWNb03SmTl3xEeC2G0lDBFRHcWTw86g27JulcM9euh6Pz2HrluwPJl+Ztw3W4myRftkx35FxfV3OmTrTs70fy58t1NaFcm017vW/SuJZBWG5KXRzI/9fK1OluBvGugvZWKM0NXDGCaVfiXJWwNd1tCe121bSfTSNYClKXMQE9LHHsS9z3TTq0fq/Jse6ISN+RPCs3XZ1tyefpDPehr9dNae9bks81Sae9z6+ZOHblminXfvckLRvy+bYT6AW5R/ZNeeXlmjVp6xr/gdiItPct+b4gn+3z74YrizWTnh5Th3uRZ4+fY5mT72x4O/J5NvIsmjP337qJt4s/W4RQWNJoFJak3hgPRxfLKJjOVS1WJF2WjpTG3S6fs85Tig0pvGk8CdYrpx32vgRhORe5LkjHcs917LukzNaN10eHxt01+WmSTnZBRFxWYdkrn684cafiqyVDmWw6gaYd5nET3pbkw3ZceyS/q+bYtUjZqIA/MF6VIdPhzxlvzHpEgNzLWK5zLt1ad3vhZENhcxI+BMlAJO7dMvfCmBFEA5L3LqmTHYkr79K6L2WS1m7njdDtFmuLCMsO8+LCzkcekfNumPz4lyS2jibk84Q5L2fKSNMzeAJh6cNrN2Xr2/xMJG23XRufNi9LbLwq0PLmvl4xwr/JvEwrRO6pKdeu+0Lcs37Jla2tr7xra4VIPduyaDIvjUbcs+jAlfeoyQshhMKSRqOwJHVDk/GUxOzaOaenTTpSS+64esY6TyAsmyXM1ci5HUb0eGE55zwq3pMQ8xKqd3XAdTS9x2sklJ/L6YXlpYhXQ8/rCelDa7VMJt3xLteRH3ECw6LzXruk3ew5D5cPU9vOontREFzHfj5DuU65ck2Ke/aEwnIgoWxtR34qg7D01084sRAiLzvyGYTlYEJ8ms+rCe1M7519I6juycsD214W5Bz1bK5HztGXMV4QZxWWe5Hwbrk8x4TlbWk/sREU91ze9IVYrL4LkTD2IudrGq6blypJw2ML7oVXFmGJH+WNlLJddffDQiTencAFgQihsKTRKCxJndGXIip1uN55csUIoLyxywmelizCsi+kDxfdMCJDO3N2SFxzQhpvSVzW5p0HRD+3JIjTSoRlcygNX90MpXlmTRWUSX9CHDfl85yJ0+dtyaS5O5Q8aTMRs0N9kda1SJpyLn+XTUc6qVynzcuA2EuPwRMKyysh2RPXGsp7iFTojSaIx7lInpblu0sZhGVbGWF5x7RxH48Kmx4ndgdMu9o3+Ws2bSxWt7uh/MJHMWF5N8O9GhOW2wntx75I6DHx3k6o79iP4WZEoOVD8tzfbqmvy+Z+qERYatg3EvKjow/sM2ImY7oJIRSWNBqFJakp/WWE5fo5p2e9THp2Mwgp31ktJ+JWIsKyYDqO1xPC35LrYjblOpqhCsJSj90IpTlZOt9qNmOZ9JeJYz5D3iZM+ndTzlNPy25KJ3jXxD1jxHxauaZ1uPtPKCxnylxXKNORT1o0aNmItCQbziAsy8Wnw4/T4tFh1y1OSI47oZk37SoprHLPhZiwXDmhsEwre19vSasMJ60CnEVY5uT+2jP33FYoeVsrEZbdKW3XthcKS0IoLGk0CkvScKi3IknI3TzHtKhncUE6Vd5uhWxbgVTqsUQnccN15madJ8gKhmnXEU+j2sLS0iNp0flro1UQltdDtiHHPSF56KgHZXs/gwC5krFc1WMZ814PhOp7LNtC+W1RkoSl1n+WucqnEZZ35D7OZbzXdKGZpkhZ6F6Si6e4l6spLNM8ln4xorMQlto2lqW8W1NE72k9lnelHiksCaGwpNEoLElDciUkL96TP8d0JM1HDO5t/70KO+gqniudY6kdQfXcNDvxEhNVlySsvjMQlsPSuW1LKJfZKghLFSyXE8TMgsTXFEqLxcSEGNKp8zTxQiA2R84vipJWrkOuXHcSxOr0CYVlf0rcWiaTJxCWk+H4IkP2u1vh+BzLjhMIy2spoly3yGiOCPDJBPGyIWXsRwfg81JI9ridhbBcDslzLO+H43Msqy0sdYEvXxad4eRzLDdD9jmWFJaEUFjSaBSWpKGYCkeHV66GbAvlVItmEXAbZc7TrRp6Mooo7byVWxW2P0Xw6cIxOiTWriA66DqkW5KPtjMQlkPG25GLiKlqeCx1VVi/xUaXHLNzTnU+5tVwdHVLP3dQBeSyubYllLYLmc9QrpuuXDU/005g71YgLDU8FQy6BUbSqrBtJxCWLabcul39a3vXsrts6jFXobDUVWHXnagZCqVtYzzaVguRF0gqOBdM+eRCyaN95RyF5aARcLFVYedS4q2GsNSFw7oSnh32+lnzciyXIC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+ id="rect42"
+ style="fill:#ffffff;fill-rule:evenodd" />
+</svg>
+++ /dev/null
----
-layout: default
-navsection: userguide
-title: "How Keep works"
-...
-{% comment %}
-Copyright (C) The Arvados Authors. All rights reserved.
-
-SPDX-License-Identifier: CC-BY-SA-3.0
-{% endcomment %}
-
-The Arvados distributed file system is called *Keep*. Keep is a content-addressable file system. This means that files are managed using special unique identifiers derived from the _contents_ of the file (specifically, the MD5 hash), rather than human-assigned file names. This has a number of advantages:
-* Files can be stored and replicated across a cluster of servers without requiring a central name server.
-* Both the server and client systematically validate data integrity because the checksum is built into the identifier.
-* Data duplication is minimized—two files with the same contents will have in the same identifier, and will not be stored twice.
-* It avoids data race conditions, since an identifier always points to the same data.
-
-In Keep, information is stored in *data blocks*. Data blocks are normally between 1 byte and 64 megabytes in size. If a file exceeds the maximum size of a single data block, the file will be split across multiple data blocks until the entire file can be stored. These data blocks may be stored and replicated across multiple disks, servers, or clusters. Each data block has its own identifier for the contents of that specific data block.
-
-In order to reassemble the file, Keep stores a *collection* data block which lists in sequence the data blocks that make up the original file. A collection data block may store the information for multiple files, including a directory structure.
-
-In this example we will use @c1bad4b39ca5a924e481008009d94e32+210@, which we added to Keep in "how to upload data":{{ site.baseurl }}/user/tutorials/tutorial-keep.html. First let us examine the contents of this collection using @arv-get@:
-
-<notextile>
-<pre><code>~$ <span class="userinput">arv-get c1bad4b39ca5a924e481008009d94e32+210</span>
-. 204e43b8a1185621ca55a94839582e6f+67108864 b9677abbac956bd3e86b1deb28dfac03+67108864 fc15aff2a762b13f521baf042140acec+67108864 323d2a3ce20370c4ca1d3462a344f8fd+25885655 0:227212247:var-GS000016015-ASM.tsv.bz2
-</code></pre>
-</notextile>
-
-The command @arv-get@ fetches the contents of the collection @c1bad4b39ca5a924e481008009d94e32+210@. In this example, this collection includes a single file @var-GS000016015-ASM.tsv.bz2@ which is 227212247 bytes long, and is stored using four sequential data blocks, @204e43b8a1185621ca55a94839582e6f+67108864@, @b9677abbac956bd3e86b1deb28dfac03+67108864@, @fc15aff2a762b13f521baf042140acec+67108864@, and @323d2a3ce20370c4ca1d3462a344f8fd+25885655@.
-
-Let's use @arv-get@ to download the first data block:
-
-notextile. <pre><code>~$ <span class="userinput">cd /scratch/<b>you</b></span>
-/scratch/<b>you</b>$ <span class="userinput">arv-get 204e43b8a1185621ca55a94839582e6f+67108864 > block1</span></code></pre>
-
-{% include 'notebox_begin' %}
-
-When you run this command, you may get this API warning:
-
-notextile. <pre><code>WARNING:root:API lookup failed for collection 204e43b8a1185621ca55a94839582e6f+67108864 (<class 'apiclient.errors.HttpError'>: <HttpError 404 when requesting https://zzzzz.arvadosapi.com/arvados/v1/collections/204e43b8a1185621ca55a94839582e6f%2B67108864?alt=json returned "Not Found">)</code></pre>
-
-This happens because @arv-get@ tries to find a collection with this identifier. When that fails, it emits this warning, then looks for a datablock instead, which succeeds.
-
-{% include 'notebox_end' %}
-
-Let's look at the size and compute the MD5 hash of @block1@:
-
-<notextile>
-<pre><code>/scratch/<b>you</b>$ <span class="userinput">ls -l block1</span>
--rw-r--r-- 1 you group 67108864 Dec 9 20:14 block1
-/scratch/<b>you</b>$ <span class="userinput">md5sum block1</span>
-204e43b8a1185621ca55a94839582e6f block1
-</code></pre>
-</notextile>
-
-Notice that the block identifer <code>204e43b8a1185621ca55a94839582e6f+67108864</code> consists of:
-* the MD5 hash of @block1@, @204e43b8a1185621ca55a94839582e6f@, plus
-* the size of @block1@, @67108864@.
---
layout: default
navsection: userguide
-title: "Keep collection lifecycle"
+title: "Trashing and untrashing data"
...
{% comment %}
Copyright (C) The Arvados Authors. All rights reserved.
SPDX-License-Identifier: CC-BY-SA-3.0
{% endcomment %}
-During it's lifetime, a keep collection can be in various states. These states are *persisted*, *expiring*, *trashed* and *permanently deleted*.
+Collections have a sophisticated data lifecycle, which is documented in the architecture guide at "Collection lifecycle":{{ site.baseurl }}/architecture/keep-data-lifecycle.html#collection_lifecycle.
-The nominal state is *persisted* which means the data can be can be accessed normally and will be retained indefinitely.
+Arvados supports trashing (deletion) of collections. For a period of time after a collection is trashed, it can be "untrashed". After that period, the collection is permanently deleted, though there may still be ways to recover the data, see "Recovering data":{{ site.baseurl }}/admin/keep-recovering-data.html in the admin guide for more details.
-A collection is *expiring* when it has a *trash_at* time in the future. An expiring collection can be accessed as normal, but is scheduled to be trashed automatically at the *trash_at* time.
-
-A collection is *trashed* when it has a *trash_at* time in the past. The *is_trashed* attribute will also be "true". The delete operation immediately puts the collection in the trash by setting the *trash_at* time to "now". Once trashed, the collection is no longer readable through normal data access APIs. The collection will have *delete_at* set to some time in the future. The trashed collection is recoverable until the delete_at time passes, at which point the collection is permanently deleted.
-
-# "*Deleting / trashing collections*":#delete-collection
+# "*Trashing (deleting) collections*":#delete-collection
# "*Recovering trashed collections*":#trash-recovery
-# "*Collection lifecycle attributes*":#collection_attributes
{% include 'tutorial_expectations' %}
-h2(#delete-collection). Deleting / trashing collections
+h2(#delete-collection). Trashing (deleting) collections
-A collection can be deleted using either the arv command line tool or the workbench.
+A collection can be trashed using workbench or the arv command line tool.
h3. Trashing a collection using workbench
h2(#trash-recovery). Recovering trashed collections
-A collection can be un-trashed / recovered using either the arv command line tool or the workbench.
+A collection can be untrashed / recovered using workbench or the arv command line tool.
-h3. Un-trashing a collection using workbench
+h3. Untrashing a collection using workbench
To untrash a collection using workbench, go to trash page on workbench by clicking on the "Trash" icon in the top navigation in workbench and use the recycle icon or selection dropdown option.
!{display: block;margin-left: 25px;margin-right: auto;border:1px solid lightgray;}{{ site.baseurl }}/images/trash-button-topnav.png!
-h3. Un-trashing a collection using arv command line tool
+h3. Untrashing a collection using arv command line tool
You can list the trashed collections using the list command.
arv collection untrash --uuid=zzzzz-4zz18-xxxxxxxxxxxxxxx
</pre>
-h2(#collection_attributes). Collection lifecycle attributes
-
-As listed above the attributes that are used to manage a collection lifecycle are it's *is_trashed*, *trash_at*, and *delete_at*. The table below lists the values of these attributes and how they influence the state of a collection and it's accessibility.
-
-table(table table-bordered table-condensed).
-|_. collection state|_. is_trashed|_. trash_at|_. delete_at|_. get|_. list|_. list?include_trash=true|_. can be modified|
-|persisted collection|false |null |null |yes |yes |yes |yes |
-|expiring collection|false |future |future |yes |yes |yes |yes |
-|trashed collection|true |past |future |no |no |yes |only is_trashed, trash_at and delete_at attribtues|
-|deleted collection|true|past |past |no |no |no |no |
+The architecture section has a more detailed description of the "data lifecycle":{{ site.baseurl }}/architecture/keep-data-lifecycle.html in Keep.
projects / arvados.git / commitdiff
