diff --git a/.wordlist.txt b/.wordlist.txt
index c7ce8a1216f..1366873e6e8 100644
--- a/.wordlist.txt
+++ b/.wordlist.txt
@@ -2033,3 +2033,6 @@ pathname
Bleve
dir
+
+FTS
+NoSQL
diff --git a/content/blog/2026/2026-03-10-release-notes-0.76/_index.md b/content/blog/2026/2026-03-10-release-notes-0.76/_index.md
new file mode 100644
index 00000000000..21c2803a921
--- /dev/null
+++ b/content/blog/2026/2026-03-10-release-notes-0.76/_index.md
@@ -0,0 +1,105 @@
+---
+title: "Velociraptor 0.76 Release"
+description: |
+ Velociraptor Release 0.76 is now available
+
+tags:
+ - Release
+
+author: "Mike Cohen"
+date: 2026-03-10
+noindex: false
+draft: true
+---
+
+I am very excited to announce that the latest Velociraptor release
+0.76 is now available.
+
+In this post I will discuss some of the new features introduced by
+this release.
+
+## GUI Improvements
+
+This release improves a number of GUI features.
+
+### Local searchable documentation
+
+Recently we have been having issues with Google refusing to index of
+our documentation website, despite our best efforts to get them to do
+so. This has made it frustrating for users trying to find relevant
+technical information.
+
+To help mitigate this problem we have added a local documentation
+search feature that allows you to search our docs directly from the
+Velociraptor GUI. You can read more about how to use it
+[here]({{< ref "/docs/gui/local_docs/" >}}).
+
+
+
+This search feature is powered by the
+[Bleve](https://blevesearch.com/) search engine, which is also now
+available to be used for indexing and searching VQL query results
+[as described below]({{< relref "#full-text-indexing-and-searching" >}}).
+
+
+## New VQL plugins
+
+### Full text indexing and searching
+
+Many users forward their Velociraptor results to Elasticsearch or
+Opensearch so that the data is indexed and more easily searchable. In
+this release we've added the ability to index and search results
+locally using the [Bleve](https://blevesearch.com/) search engine,
+which provides Full Text Search (FTS) capabilities similar to
+Elasticsearch and other NoSQL database solutions.
+
+This capability is provided by the following new VQL plugins:
+- [index]({{< ref "/vql_reference/other/index" >}})
+- [index_search]({{{< ref "/vql_reference/other/index_search/" >}}})
+
+
+
+## Removed plugins
+
+[ need to rephrase etc - this is just coped from the PR ]
+
+There are a couple of very large libraries with huge API surface,
+making the binary extremely large:
+
+1. The Elastic library is now handled via a fork to isolate just the
+ Bulk upload API - reducing the binary size by 16mb
+2. The next largest library is the AWS client library used by
+ `s3_upload()` increasing the binary size by 6mb.
+3. The Google cloud client library is also huge at around 5mb
+
+ However for regular builds:
+
+- Use the MinIO S3 library to connect to AWS - this library is much
+ much smaller and easier to use.
+- Remove Google cloud dependencies: pubsub is a rarely used feature,
+ and with Google cloud storage (GCS) we can always enable S3
+ compatible mode so there is no real need for specific GCS access.
+- Removed the starlark() plugin since it is not really very often
+ used.
+
+From this version we've introduced a new build tag `sumo` which
+includes these large libraries if anyone really needs them.
+By enabling `sumo` build tags (i.e. `make linux_sumo`) it is possible
+to build a larger binary with the full AWS and Google client
+libraries.
+
+
+## Conclusions
+
+There are many more new features and bug fixes in the latest release.
+Please download the release candidate and give it a test and provide
+feedback.
+
+If you like the new features, take [Velociraptor for a
+spin](https://github.com/Velocidex/velociraptor)! It is available
+on GitHub under an open source license. As always please file issues
+on the bug tracker or ask questions on our mailing list
+[velociraptor-discuss@googlegroups.com](mailto:velociraptor-discuss@googlegroups.com)
+. You can also chat with us directly on discord
+[https://www.velocidex.com/discord](https://www.velocidex.com/discord)
+.
diff --git a/content/blog/2026/2026-03-10-release-notes-0.76/local_docs_search.png b/content/blog/2026/2026-03-10-release-notes-0.76/local_docs_search.png
new file mode 100644
index 00000000000..5d58621861b
Binary files /dev/null and b/content/blog/2026/2026-03-10-release-notes-0.76/local_docs_search.png differ
diff --git a/content/docs/file_collection/exporting/_index.md b/content/docs/file_collection/exporting/_index.md
index 8c074c00b2c..a09931954f2 100644
--- a/content/docs/file_collection/exporting/_index.md
+++ b/content/docs/file_collection/exporting/_index.md
@@ -90,10 +90,18 @@ files. If you are preparing exports for collections or hunts that are
unusually large, then the default timeout (10 minutes) for this process may be
insufficient.
-In that case, you may need to set a greater timeout value, which you can do via
-the
+In that case, you may need to set a greater timeout value, which you
+can do by preparing the export via a server artifact, with an extended
+timeout value. This approach is demonstrated by the
+`Server.Utils.ExportHunt` artifact.
+
+Alternatively, if you persistently need a higher timeout value, you
+can set it globally via the
[defaults.export_max_timeout_sec]({{< ref "/docs/deployment/references/#defaults.export_max_timeout_sec" >}})
-setting in the server config.
+setting in the server config. However, as with all resource limits,
+the default values are intended to protect your server from unusual
+resource consumption, so you should try to avoid changing the global
+defaults unless you've considered the potential impacts.
There is also a default limit of 10 concurrent export preparation processes. If
your server hardware is capable of more then you might need to increase this
diff --git a/content/docs/gui/_index.md b/content/docs/gui/_index.md
index 09532fdb085..5e1fe378d58 100644
--- a/content/docs/gui/_index.md
+++ b/content/docs/gui/_index.md
@@ -90,46 +90,52 @@ by editing the `Server.Monitor.Health` artifact.
{{% /notice %}}
-### Table Widgets
+### Working with tables
-A common UI element in the Velociraptor GUI is the table widget. Since
-Velociraptor deals with VQL queries and all queries simply return a
-list of rows, the GUI presents a lot of results in a table form.
+Since VQL queries are at the core of Velociraptor, and all queries
+return a list of rows (i.e. a table of data), much of the GUI is
+dedicated to presenting these results in tabular form.
-
+All Velociraptor tables have a common set of tools available, which
+are available in a common table toolbar that you'll see whenever
+tabular results are presented in the GUI.
-All Velociraptor tables have some common tools available as can be
-seen above:
+
-1. **Collapse/Expand All Columns** - Sometimes the content of some cells can take up
- a lot of vertical space. This option toggles between showing the full row
- heights or shrinking the row display to a standard height.
- 
+The table toolbar consists of the following buttons:
-2. **The Column Selector** - Allows users to show/hide columns. This is
- useful when there are many columns and the table takes up a lot of
- horizontal real estate, or when some columns provide too much
- data that you don't want to see.
- 
+- **Collapse/Expand All Columns** - Sometimes the content of some
+ cells can take up a lot of vertical space. This option toggles
+ between showing the full row heights or shrinking the row display to
+ a standard height.
-3. **View Raw JSON** - All VQL queries simply return a result set encoded
- as a list of JSON objects. For more complex tables it is sometimes
- easier to see the precise JSON returned, and clicking on this
- button displays the raw json in a dialog box.
+ 
-
+- **The Column Selector** - Allows users to show/hide columns. This is
+ useful when there are many columns and the table takes up a lot of
+ horizontal real estate, or when some columns provide too much data
+ that you don't want to see.
-4. **Download table as CSV or JSON** - Clicking on these buttons exports the
- _visible_ table data to a CSV or JSON file. This is usually used to filter
- out uninteresting columns and produce data files that can be used in other
- applications, e.g. Excel.
+ 
-5. **Fullscreen** - A new feature in version 0.75 is that an individual table
- can be viewed fullscreen. This opens the table in fullscreen view in a new
- browser tab. This is useful when working with large tables where you need all
- the screen space you can get.
+- **View Raw JSON** - All VQL queries simply return a result set
+ encoded as a list of JSON objects. For more complex tables it is
+ sometimes easier to see the precise JSON returned, and clicking on
+ this button displays the raw json in a dialog box.
-6. **Pagination/Navigation Widget** - The right side of the table widget is
- where you will find all the options to navigate through the table data. You
- can choose how many rows to display per page and navigate forward/back, or
- skip to the first, last, or a specific page number.
\ No newline at end of file
+ 
+
+- **Download table as CSV or JSON** - Clicking on these buttons
+ exports the _visible_ table data to a CSV or JSON file. This is
+ usually used to filter out uninteresting columns and produce data
+ files that can be used in other applications, e.g. Excel.
+
+- **Fullscreen** - This opens the table in fullscreen view in a new
+ browser tab. This is useful when working with large tables where you
+ need all the screen space you can get.
+
+- **Pagination/Navigation Widget** - To the right side is the table
+ navigation widget. This is where you will find all the options to
+ navigate through the table data. You can choose how many rows to
+ display per page and navigate forward/backward, skip to the first,
+ last, or go to a specific page number.
diff --git a/content/docs/gui/artifacts/_index.md b/content/docs/gui/artifacts/_index.md
index d3d6471a54a..8a3a6798529 100644
--- a/content/docs/gui/artifacts/_index.md
+++ b/content/docs/gui/artifacts/_index.md
@@ -4,8 +4,8 @@ menutitle: Managing Artifacts
date: 2025-05-03
last_reviewed: 2025-05-18
draft: false
-weight: 10
-summary: "How to find, manage, create and edit artifacts in the GUI"
+weight: 60
+summary: How to find, manage, create and edit artifacts in the GUI
---
## Finding, managing, creating and editing artifacts in the GUI
diff --git a/content/docs/gui/authentication/_index.md b/content/docs/gui/authentication/_index.md
index 8b47f7bc10b..096f8d9dc5a 100644
--- a/content/docs/gui/authentication/_index.md
+++ b/content/docs/gui/authentication/_index.md
@@ -1,9 +1,9 @@
---
-menutitle: "Authentication"
-title: "Authenticating Users"
+menutitle: Authenticating Users
+title: Authenticating Users
date: 2025-01-29
draft: true
-weight: 5
+weight: 10
---
https://github.com/Velocidex/velociraptor/tree/master/api/authenticators
diff --git a/content/docs/gui/customizing/_index.md b/content/docs/gui/customizing/_index.md
index e623949491a..a2728f4cb1c 100644
--- a/content/docs/gui/customizing/_index.md
+++ b/content/docs/gui/customizing/_index.md
@@ -1,16 +1,36 @@
---
title: Customizing the GUI
-menutitle: Customization
+menutitle: GUI Customization
date: 2025-09-26
-last_reviewed: 2025-09-29
+last_reviewed: 2026-03-10
draft: false
-weight: 100
-summary: "Customize your GUI experience."
+weight: 40
+summary: Customize the GUI experience
---
+Several aspects of the GUI can be customized to suit your
+organizational needs:
+
+* [Certain pages in the GUI can be customized](#custom-gui-pages).
+* [Custom sidebar links and context menus items can be created](#create-sidebar-links-and-context-menus-for-external-resources).
+ This can be done globally (for all users) or on a per-user basis.
+* [Custom themes can be added](#developing-custom-themes).
+* [Additional language translations can be added](#developing-custom-translations).
+
+The last two items require code-level changes and are therefore only
+recommended for developers, however Velociraptor is designed so that
+these can be done in a relatively easy modular way. For more
+information, see the relevant section below. If you do decide to
+develop new themes or language translations for the GUI, then we hope
+you'll consider contributing these back to the project for the benefit
+of the Velociraptor community!
+
+## Custom GUI pages
+
Certain pages in the GUI allow for customization. The layout and content of
these pages are defined in corresponding Velociraptor
[artifacts]({{< ref "/docs/artifacts/" >}}).
+
These artifacts contain templates written in
[Go's templating language](https://pkg.go.dev/text/template)
that then produce the HTML that the user ultimately sees and interacts with.
@@ -20,29 +40,38 @@ the Go Template Language. This allows you to also include VQL queries
(server-side only, since this is where the templates are run!) in your template,
and display the results in tabular or various graphical formats.
-{{% notice info "Some web development experience is required" %}}
-
-Customizing GUI content does require a reasonable degree of understanding of
-HTML as well as of Go's templating language. Typically customization amounts to
-small tweaks where you might make a change to the layout or customize specific
-elements that you don't like, although extensive customization can be done if
-you really need to.
+Customization of these artifacts and the corresponding pages they
+produce are global changes. That is, the customizations are visible to
+all users on the server, unlike
+[user preferences]({{< ref "/docs/gui/user_preferences/" >}})
+which are per-user.
-There are many excellent guides to templating and HTML available on the internet
-and for that reason this is not intended to be a tutorial on those topics.
+{{% notice info "Some web development experience is required" %}}
-If this is all new to you, you can still experiment by changing one small thing
-at a time. Because the customization is done via a custom artifact, if you mess
-it up you can always delete the custom artifact and Velociraptor will then
-revert to using the default built-in one!
+Customizing GUI content does require a reasonable degree of
+understanding of HTML as well as of Go's templating language. Typical
+customization usually amounts to small tweaks where you might make a
+change to the layout or customize certain elements to suit your needs.
+However, extensive customization can be done if you really need to.
+
+There are many excellent guides to templating and HTML available on
+the internet and for that reason this is not intended to be a tutorial
+on those topics.
+
+If this is all new to you, you can still experiment by changing one
+small thing at a time. The customizations are implemented as custom
+artifacts, so if you mess it up you can always delete the custom
+artifact and Velociraptor will then revert to using the default
+built-in one. For obvious reasons, we recommend that all
+customizations be developed and tested on a non-production server. You
+can easily transfer your custom artifacts to a different server once
+you are happy with them.
{{% /notice %}}
-## Which pages can be customized?
-
Currently there are 3 pages in the GUI that support full customization.
-These, and their corresponding artifacts, are:
+These pages and their corresponding artifacts, are:
- `Server.Internal.Welcome` - The Welcome page

diff --git a/content/docs/gui/keyboard_shortcuts/_index.md b/content/docs/gui/keyboard_shortcuts/_index.md
index 571ae7df389..1182d796857 100644
--- a/content/docs/gui/keyboard_shortcuts/_index.md
+++ b/content/docs/gui/keyboard_shortcuts/_index.md
@@ -5,7 +5,7 @@ date: 2025-05-16
last_reviewed: 2025-09-04
draft: false
weight: 80
-summary: "Learn about keyboard shortcuts in the GUI"
+summary: Learn about keyboard shortcuts in the GUI
---
The Velociraptor GUI supports many keyboard shortcuts to navigate around
diff --git a/content/docs/gui/local_docs/_index.md b/content/docs/gui/local_docs/_index.md
new file mode 100644
index 00000000000..6feef602af6
--- /dev/null
+++ b/content/docs/gui/local_docs/_index.md
@@ -0,0 +1,184 @@
+---
+title: Local Documentation Search
+menutitle: Local Docs Search
+date: 2026-03-10
+last_reviewed: 2026-03-14
+draft: false
+weight: 50
+summary: Learn how to access and search local documentation in the GUI
+---
+
+From version 0.76, the Velociraptor documentation can be searched and
+previewed in the GUI.
+
+
+
+This local search feature is designed for speed and convenience, and
+can be a helpful resource when internet access is restricted or
+unavailable, such as during critical security investigations in
+isolated environments.
+
+You can access the local documentation search by clicking on the
+ icon in the app footer area.
+
+{{% notice note "Limitations" %}}
+
+The local documentation is intended for quick documentation lookups,
+or for use in situations where the Velociraptor documentation website
+is inaccessible, perhaps when you are working from a network where
+internet access is restricted or severely degraded. Such circumstances
+are sometimes encountered when responding to serious security
+incidents. So if you're planning to take your Velociraptor server into
+a bunker, you can prepare it with local documentation before you go.
+
+In other words this feature is intended for convenience or for unusual
+situations, in a similar way to how the
+[`vql list` CLI command]({{< ref "/docs/cli/#how-to-get-vql-help" >}})
+allows you to quickly look up VQL-related help when you are working on
+the command line. It does not fully replicate all aspects of the
+documentation website, and it's not intended to replace it.
+
+In particular, you should be aware of the following differences:
+
+- Links within the offline docs will send you to the documentation
+ website, rather than allowing you to navigate within the local docs.
+ You should avoid clicking links in the local documentation if you
+ don't want to be sent to the documentation website.
+- Some internal navigation links that you would see on the website
+ are not shown in the offline docs.
+- Images are not stored locally and will therefore not be displayed if
+ access to the documentation website is unavailable.
+
+{{% /notice %}}
+
+## Installing the local documentation index
+
+The documentation index is not included in the Velociraptor binary. It
+is technically managed as a
+[tool]({{< ref "/docs/artifacts/tools/" >}}) in the `root`
+[organization]({{< ref "/docs/deployment/orgs/" >}}) (org), and is
+automatically downloaded to the server the first time any user tries
+to search the local docs.
+
+If a documentation search is done within a non-root org, the search
+request is redirected to the `root` org. This ensures that
+documentation is shared globally across the platform rather than
+requiring every org to maintain its own copy of the docs index.
+
+
+
+In situations where internet access is not available you can manually
+download the index from
+```text
+https://github.com/Velocidex/velociraptor-docs/raw/refs/heads/gh-pages/docs_index/docs_index_v1.zip
+```
+and upload it into the tools inventory, as you would do with other
+tools in an offline server situation.
+
+If you are pre-populating the tools inventory on a server in advance
+of working offline, the
+[`Server.Utils.UploadTools`]({{< ref "/artifact_references/pages/server.utils.uploadtools/" >}})
+artifact will include the docs index in the tools package that it
+downloads.
+
+
+## Query syntax
+
+The full Bleve query syntax is documented on
+[their documentation site](https://blevesearch.com/docs/Query-String-Query/).
+Here we discuss only the most relevant query constructs.
+
+### Terms vs Phrases
+
+Words separated by spaces are considered **terms** and are searched
+for independently of each other.
+
+For example, the query `windows client` will return results matching
+either `windows` _or_ `client`, with results that contain both terms
+being ranked higher in the results.
+
+A search **phrase** is multiple words enclosed within quotes.
+
+For example, the query `"windows client"` (with quotes) will return
+results matching that full phrase, but not the individual words
+`windows` or `client`.
+
+### Required, Optional, and Exclusion Terms
+
+You can require that a term or phrase match by prefixing it with a
+`+`. For example, the query `+"offline collector" +debug` _requires_
+that both the term `debug` and the phrase `offline collector` MUST appear
+in search hits.
+
+Conversely, you can exclude a term or phrase by prefixing it with `-`,
+meaning this term or phrase MUST NOT be in any of the results.
+
+If neither `+` nor `-` are specified then the term or phrase is
+considered "optional". If it does appear in any of the results then it
+is used to increase the **rank** of these results.
+
+### Field Scoping
+
+In our documentation index, the following fields are available for
+query scoping:
+
+- **title**: the title of the page.
+- **text**: the full body text.
+- **tags**: classification tags.
+- **crumbs**: the path components for the page.
+
+To search in a specific field, you can add the field name as a search
+operator. Usually the `+` prefix is also added so that it is
+_required_ that the search term or phrase appears in that field.
+
+For example, the query `+title:"event query"` will only search in the
+page titles.
+
+
+
+Notice that in the above example, the word `query` also matches
+`queries` due to stemming, i.e. `queries` is derived from the stem
+word `query`.
+
+You can combine multiple fields in your query to produce very precise
+matching, for example
+`+tags:Docs +title:offline +text:export`
+will search for pages with both `offline` in the title _and_ `export`
+in the body.
+
+
+
+
+#### Searching with crumbs
+
+A breadcrumb or breadcrumb trail represents the path to a page, or a
+set of pages within the site's navigational structure.
+
+So if you perhaps have the URL for a page on the docs website, or just
+want to limit your search to within a certain area of the website you
+can apply the `crumbs` scope to your query.
+
+
+
+#### Searching with tags
+
+If you're not sure exactly what keywords to search for you can also
+search by tag. Or you can combine tags with your terms/phrases in the
+query to improve the ranking of the most relevant results.
+
+For example
+
+1. Do a search for your keywords. This will give you a list of all
+results, regardless of tags.
+
+2. On the list you can click on one or more tags to add them to your search
+ criteria.
+
+
+
+3. If necessary, you can now adjust your query so that it searches
+ only within pages having the selected tag.
+
+You can also use the query `+tags` to see all pages with tags, which
+might help you with choosing an appropriate tag.
+
diff --git a/content/docs/gui/local_docs/local_docs_crumbs.png b/content/docs/gui/local_docs/local_docs_crumbs.png
new file mode 100644
index 00000000000..df373d56800
Binary files /dev/null and b/content/docs/gui/local_docs/local_docs_crumbs.png differ
diff --git a/content/docs/gui/local_docs/local_docs_fields.png b/content/docs/gui/local_docs/local_docs_fields.png
new file mode 100644
index 00000000000..ec0256cd844
Binary files /dev/null and b/content/docs/gui/local_docs/local_docs_fields.png differ
diff --git a/content/docs/gui/local_docs/local_docs_intro.excalidraw b/content/docs/gui/local_docs/local_docs_intro.excalidraw
new file mode 100644
index 00000000000..857b561452d
--- /dev/null
+++ b/content/docs/gui/local_docs/local_docs_intro.excalidraw
@@ -0,0 +1,396 @@
+{
+ "type": "excalidraw",
+ "version": 2,
+ "source": "https://excalidraw.com",
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+ "isDeleted": false,
+ "boundElements": [
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+ "type": "arrow"
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+ "type": "arrow"
+ }
+ ],
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+ "link": null,
+ "locked": false,
+ "status": "saved",
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+ "strokeWidth": 4,
+ "strokeStyle": "solid",
+ "roughness": 0,
+ "opacity": 100,
+ "groupIds": [],
+ "frameId": null,
+ "index": "a1",
+ "roundness": {
+ "type": 3
+ },
+ "seed": 449065932,
+ "version": 82,
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+ "isDeleted": false,
+ "boundElements": [
+ {
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+ "type": "arrow"
+ }
+ ],
+ "updated": 1773483521922,
+ "link": null,
+ "locked": false
+ },
+ {
+ "id": "g4e2tPtcEW0rku0H2Ax3U",
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nwQYkVUMTbEsURJw8XHcUaQugUimtQju7Vi/nBExBz0i2EGnxXYQkN6Wqx4y+bMwxo71L9bYkTmVk5U3XCYO4PKICHQmZmv/XiVqK66cBx2obdbsgahaPZcWGk0iT+Fwuc6/iR57sahiUcSroK9yUMRnoaUEj9AY59Yeoh2i5CIAQOZ2f8WUeaeIwyWF5fPJz0cFMlZ2Rc88Qlp4CrUuU7YcUYHKTS8dAfaP/AfcCDL1p7E/wbJKGv1W/QYCyxFJw7B9NnaIfoO98SZ2AokyPCsetggspEDstJX9b9R0qngiZu5VZd90qphWsmZDlBPXvTZ4kXzmzuB58k4uOz27ZWvA8GPXDwWbIneo8JSyMZlm2O5YiGNbXFxEIQBaISC7pPpt7P9z3AMwdmo0wzkxem3L6Sd5jfaFL95p/VJu5kp8idZiROj27mRVAtmiynBu/otrurUjjKuG2BuLgs4/R4TS/A/qHk+KHSVXmNLie8wJVyZG2m8UmAPOEuem7x5kXZBJkNbyahuHWUSsEnzLBnmaZjKLg0HJZAAIbnhpqff0jbscmJ+/c4gHgNgupRaIM7EU/GBl/xJ+rDLVokijg9U3cWbNh6358dwnYxjBemtQiVVGikAbsGpB0ZsEqrJP+IJHKSgFAhe85vUbNF5h5iGTdqtKjvhvFStf10az0VKm3dKgDyz6/gGUOHf768AR/LfU/AAAAADc0JJVAgICNvhT+AAACAASURBVHja7N17XExpHwDwnzGmU5NmIjWVZSahESqLLhZTrBQrte5aFIvYlcvSYpNLJJeide2lsBSLiCW5VFhdWBVrNa4ziIZSU7qcxhjvH6fGbJfpnqzf9/N+3s2Zc85znuc5l995nuec00ooFMK/Kcq9f/8eEEIIIYRQS0Kv8G+5XA4Aenp6mpqaWlparVu3xjJCCCGEEGqh0dvbt2+ZTGbHjh3pdDoWDUIIIYRQi47e5HI5k8nkcrlYKAghhBBCLRaN+o9CoQCAjh07YokghBBCCH0a0Zuuri52mCKEEEIIfTLRm5aWFhYHQgghhNCnEb29f/8eozeEEEIIoU8megOANm3aYHEghBBCCH0y0RtCCCGEEMLoDSGEEEIIYfSGEEIIIYTRG0IIIYQQwugNIYQQQghh9IYQQggh9Lmip6WlAUCPHj2wLBBCCCGEPoHorUuXLlgKCCGEEEKfCuw5RQghhBDC6A0hhBBCCGH0hhBCCCGEMHpDCCGEEMLoDSGEEEIINQ26jo4OAJSWlmJZIIQQQgi1fNj2hhBCCCGE0RtCCCGEEGqx0ZtcLt+2bZulpSWNRqPRaCwW64cffrh79+5/oHR0dXVpNNqRI0cad7VBQUE0FUwm08bGZvHixadOncI9sja6d+9Oo9FCQ0Mbd7X79++n0WidOnWq5fzr16+n0Wj9+vUrLCzESkEIIfTJRG/v37+fOnXqvHnzbt++TU158+bNjh07LC0tz5w5g+VbGyUlJdevX9+8efPo0aMDAgKwQD4VW7ZsAYCbN2/GxsZiaSCEEPpkorcdO3ZERkYCwPz58//++++cnJwDBw506dJFLpd///33JEliEVenV69eCoVCoVC8efMmOjrayckJAJYvXx4XF4eF80ng8XjUHyYmJlgaCCGEPpno7ejRowAwbty4oKAgc3Pzdu3aubu7U61uEokkKSkJi7hGTCbzm2++OXPmDBXA7dixA8vkkxAVFRUaGpqUlGRlZYWlgRBCqE727dt38uRJ9fOcPHmS6uepgN7AtO/fvw8Azs7OqhO7deu2YcOGkpISXV1drJ7a+/bbb2NiYi5evIhF8UkwNDScMWMGlgNCCKF64HK5ly9fBoDRo0dXF949efLEwsKi8k8NbXujXheXm5tbYfpPP/3k6+traWlZYbpQKFyzZs2oUaMMDAw6deo0duzYgICAx48fV16zTCbbvXv3wIEDNTQ0qNH9Q4YMiYiIkMvlVW7J4MGDaTTamjVrXrx4MWvWLGNjY3Nz8+XLl798+bLCnAqFYvfu3fPmzbOwsGAwGBoaGhMnTkxOTlaTzfPnz8+bN6979+6GhoaTJk26ceNGE1UkABQUFJSUlFT46eXLlxs3bhQIBGw229zcfO7cudW1a9Y+d9U9k6Gvr0+j0Q4dOqScYm5uTqPRfv755/79+9NoNEtLywcPHpw6dap9+/YmJib+/v4KhaJyifn6+io3ePbs2Vu2bHnz5k2F2agHOCwsLKRS6fr164cPH85ms/v3779x48bK7yBcuXIltSc8ePAAAGbPnq368IdQKKww/507d2bMmGFsbEzN0KFDh0WLFj18+LDCbHK5nJrBw8MDADIzM1VXO2XKlArzOzs70/5N/VMLtaw7Nzc3Go32448/CoVCX19fW1tbXV3dYcOGUc3bCCGE/mMsLS0HDx5869atKlvgqNCtc+fOVcd2QqFQKBTeunVLUS9z584FgI4dO2ZmZtY484sXL5RDhVQZGBgIhcIKM8+ZM6fK3Do6OpaWllZe+cCBAwFg0aJFvXv3ZrFYylh12rRpFeb08/OrvNo2bdocP368wpwsFgsANm/e3LZtW9WZ27Zte+PGDUV9bdq0CVTGvSkpR7wVFBSoTo+Pj6ei5Ap++OGHyiuva+4iIyMrTNfT0wOA3377TTmFz+cDAIPBUN3nNDU1lf88fPiw6houXbpEo1VxY2Bra1tcXFxlUbi4uABAnz59tLW1qZknTpxYYcNWrFih5jC4e/eu6syPHz9W3WDVojh37pzqnDKZTM1q3d3dK2zG8OHDK8xTob7qV3fU8enu7s7j8RgMRr9+/ZRluGPHDgVCCKH/nNzc3Li4OD8/v6ioKNXpYWFhfn5+YWFh1S3Y0Ojt/v371MXJwMBg+fLlYrFYzcz29vYAwGKxAgMDHz58ePv2bV9fX2NjYwCYMGGC6pzp6enKBonTp0/n5uYmJiYuX76cihi2bNlSXfSmp6c3e/bswsJChUKxePFiACAIoqSkRDnbhQsXlC0osbGxUqn0zJkz1tbWVEwmEokqxzf6+voeHh5JSUkSiWT79u3t27cHACsrq+aJ3l69ekWFU3w+/7fffouLiztz5syECROoOUNDQ1XXUI/c1T56++677969e6cclnfy5MnS0lIqlJk+fXrlDe7evfv+/fuzs7MTEhK+//57Kpbatm1b5aJgMBhDhw599OiRQqEoLi7euHEjlcTRo0erLMCuXbsCwK5du9QUMlVEBgYGGzZsuH37dnZ29p49exwcHADAyMioyhuA8PBw6laklvWoLO3qorc61R0VvTEYjAULFuTl5VGLf/fddwCgpaX19OlTPM0hhNDnEMDVGLo1QvSmUChiYmKogAYAaDTamDFjLl68WHk2ZUCWkJCgOv306dPURSs3N1c5cf369QDA4/HevXtXuanP2dm5uuhNX1+fJElqirIr7e+//1bO5u7uTjUCyeVy5cTs7GzqscFVq1ZVjm+GDx+uOvH333+nVnv79u1miN52795NxaASiaTyxV4gEKhOrEfuah+9bdq0SaFQXL9+ndpIKp5YsmQJAAwdOlQ5c0hICBUhZWdnq66WmtPOzq5yUQAAFbpVaN+qENPXKXrT0tICgD179qhOfP78OZXcn3/+2QzRW53qjppoamqqOrG4uJiqpgpRL0IIof9kAFeb0E2hUDTC23odHR0fPXoUHBxsZmamUCiOHTs2dOhQV1fXCrNRL4TT09MbNGiQ6nSqQU4mk925c0c5ccmSJQqF4tGjR61atVKd2dTUFACePXtW3cYMGTJE2V/G4/Hi4uLi4uJU379KbcaoUaNUu/bat28/derUoUOHamhoVF7niBEjVP/p5OTUpk0bAHjy5Ekz9Iv//fffADBw4EB9fX3V6WPGjAGAtLS0yoVcp9w1infv3qmONgOAAQMGKGN65cBEAEhNTVVUGiRnbGxcoUudai8Ui8X13iSq/dXT01N1oqGhIbVVanahj1V3qhlXIgiib9++zbazIYQQan5sNls5Bo4a6zZt2jT1i9AbJWEdHR1vb+958+adO3du9+7dp06dio6OXr9+/c8//6ychxqJn5OTU+WIKADIz89X/adcLj958uShQ4eSkpJevXpV4afqtkT1zVtt2rQRCAQVZsjLywOAyg/D+vr6VrfOClEIk8nU0dF5/fp1QUFBM1SqVCqlegArTDc0NKQKraioiMlk1jt3ja64uJjq9KxyuD1JksXFxcrBbZR27dpVmI3KQgO/YSAWi/fs2XP27Nk7d+5U2GfU7EIfq+6Ux3CVRVFUVIQnOIQQ+g8HcMoGi8oXgqaK3iitWrVycnJycnLavHnz4sWLV6xYMXbs2C5dulC/vn//vk5rmzdv3q5du+q6DVUOVFdV182g8lXllMptSM1JuVWqOapH7loy1Sa9unr06JGVlVXL/IZVlXXXdEWBEEKohVM+YVrja0QaP3pTWrhwYWho6IMHD/744w9vb2/VK5a+vv7hw4erXKpXr17Kvy9cuECFbtOmTZs2bVr//v0JggCAkJCQ+fPnN8qFswVShoPVNU/WmKM65a5Ji2LYsGGqLa+qVB9WbbpKnD59emFhoaGhYXBwsKWlZbdu3ajp+vr6OTk5LWTfaMl7I0IIoWYO3aZNm0Z12tQYwDUoenv58iX1pfC5c+eqdn61atVKX1//wYMHqu+Bo67ZeXl5NjY2VCimBvW1Bnt7+7CwMNXplV8YVldUR1XlfqiVK1cmJiba29svXbr0Y9UfNbZJW1ubGnFPof6mqlPV69evAaBNmzaqM9cpd1QtVOj/lclkDWyvorZHLpdX7rZuLNQAPtUXwnl6emZmZn7//fdjx44FgJycnCtXrgDAgQMHhgwZopxNLperyR21WtXPu8XFxa1fv15LS6vG12GrKYpa1h1CCKHPPHSD8jFwNQZwDXpqoXXr1n5+fn5+ftHR0arT79+/Tz2ZSD2rSKGeE3z79u2pU6dUZ05NTaVeear8zr0y/mjdurXqnKWlpZVfLVtX1Gbs37//7du3qiHLgQMHLl68+HE/zEoNFKswbp3qeo6Li6NeUav0v//9jyph1fabOuWOWjP1mVqlw4cPN7AQqNX++eefmZmZqtO3bNlCo9E4HE7DC+qLL74AACo+o/aWI0eOqGZQGaJV2IUiIiLU5I5abU5OjvJ5gqtXr168ePHevXsNKYpa1h1CCKHPPHSjqD7EUF3bQYOiNz09PerTnN7e3n5+fkKhMDc3NzIy0sXF5e3bt1988YXqF7T69+9PPXXo4eEREhKSkZEhEokOHz5Mvf6qb9++qj2n1N8XL17cuHHjjRs3CgoKYmNjv/nmm8ovyq8rLy8vALh9+/a33377559/FhQUxMTEfP3119RoQeqNG82sqKgoPj5+5MiR586dA4DJkyer/uru7q6np1dcXDxq1KiTJ0++fv36+vXr06ZNO3/+PADMnDmz3rmjnnxMSEiYO3duamrqq1evfvvtN19f3wY2CLm7u3fo0EEmkwkEgmPHjmVnZ6elpW3evHnlypWVc1c/1Kt9jx8/HhoaWlJSMm3atJKSEgaDQb3OjYrDqMc8V69eHR0dnZ2dLRQK169f7+3tTT0vXKX+/ftTj77OmzfvyZMnV65c2bBhAwAMGzas3kVR+7pDCCGEoVttA7gGvu/t8ePH1Ot2KyeclJRUYeZHjx5V+SQFm82u8O60nJycjh07VpjNyMiIGkrF5/Ore99bhVeaVWn69OlVluPSpUsrzFn7N6LV431vVfLx8Xn79m2F+X/77bcqZx4yZEhDcieTyYYOHVphth07dtTjfW/29vZVvhKvAktLywqvRqvu1XfUR3mrrGiFQlFUVKR8GkaJesuMUmBgYOUN8PPzU19327dvr7BI+/btVd+UW+VX3ZSWLVtW77qjmsfnzp1bYToVZM+aNQtfiYQQQv8l1NvdanwPXJXzNPR9b1wuNz09PSAgoHv37tSUtm3bzpgxIzExsUIPIADweLykpCQvL68Kb/eNj4/v2bOn6pzt2rW7deuWMrYgCGLKlCnx8fGN0u+2Y8eOkJAQKysr6p9t2rQZP358aGjo2rVrP2IM/tVXXx0/fjwgIKBCZx/VXnXmzJlvvvmGTi8bp8jn89euXRsVFdWQ3NHp9OPHj/v6+lpYWLDZbIFAsG7dutmzZzc8L2PGjImNjXV1dVU+Aky9U+bcuXMV3hVSP5qamomJicoP6RoYGKxZs6ZCBhcvXnzo0CFlcj169NixY4f6b21RjZd//PHHqFGjqPd0ODk5nTt3rvKNRO3Vqe4QQgh9PkaPHq3+vW7UpbnKeVpRHyQoLS1V7bhECCGEEEItEw2LACGEEEIIozeEEEIIIYTRG0IIIYQQRm9YBAghhBBCGL0hhBBCCCGM3hBCCCGEMHrDIkAIIYQQwugNIYQQQghh9IYQQgghhNEbFgFCCCGEEEZvCCGEEEIIozeEEEIIIYzesAgQQgghhDB6QwghhBBCTYLeqlUrLAWEEEIIoU8Ftr0hhBBCCGH0hhBCCCGEMHpDCCGEEEIYvSGEEEIIYfSGEEIIIYQwekMIIYQQQhi9IYQQQghh9IYQQgghhDB6QwghhBBCGL0hhBBCCH1K6Mq/xJkSLA6EEEIIoU8meuN25GBxIIQQQgi1cNhzihBCCCGE0RtCCCGEEMLoDSGEEEIIYfSGEEIIIYTRG0IIIYQQwugNIYQQQghh9IYQQgghhNEbQgghhBDC6A0hhBBCCGH0hhBCCCGE0RtCCCGEEMLoDSGEEEIIYfSGEEIIIYTRG0IIIYQQwugNIYQQQgjRG7h8UVFRVlZWQUEBSZJYmggh9DlgsVjm5uYVJpaWlubm5paUlLx7964ZtqGoqIjJZDZzxvPz82Uy2X+4ZjU0NHR0dIyMjJhMZmJi4meyP7du3bp5dtraYzAYOjo6xsbG1e3kDYre3rx58+DBA01NzU6dOunp6eEZDSGEPgeVr+slJSUSiYRGoxEEQafTm2Eb3rx5w2Kxmjnj2dnZHA7nP1yzJEkWFhYKhcJu3boBQPNnViKRfCaJ1lgRxcXFGRkZ3bt3b9u2beUZ6t9zWlRURIVufD4fQzeEEPpslZaWSiQSANDU1Gye0A01EYIgqJj43r17WBoftyJ0dHRoNNr9+/eLiooaM3rLysrS0tLi8/lYyggh9DnLzc2l0WjN34+Jmoiuri5G4S0Bm82m0WgvXrxozOitoKAAm9wQQgiRJIkX+/8YDQ0NLISWgCCIgoKCxozeSJLE6A0hhJBcLm/Tpg2WA0ZvqCkqorS0tDGjN4QQQggh1PwwekMIIYQQwugNIYQQQghh9IYQQgghhDB6QwghhD4RxZkJB/YeTc7GksDoDTWh5ORkGo0WFxcHAObm5rNmzcIy+RRpa2uvWrUKALy8vPAdhwihj6Xg7u9Bv/7+jxwfCMXo7WObMmXKpEmTmj/dwsJCGo125swZACgpKTE1NZ0zZw4ASKVSWjltbe2ff/5ZoVDUv3xpNACg3oREo9Fq/0qkgIAAgiD69OmzZ88e1elPnjzp3bs3i8Xy9PR8+PAhNbFLly7UBgcEBFRe1fz58w0NDQsLC1vOblfdBnt4eFDTnZ2dG56KUCik0Wh37txp+Kpat25dj0pECFUgl8vrMaWpt6FJEi3NTvrfQsfupqampoKZOxIyS2u52KMDM2z7fbf37yrnL3j0Z0JmO1tHc51aL9IcMjMzazmxSROtzZRGqNhHsStdzU37zDj6pLTB1f0pR28twapVq4qLi1UjiQ0bNly8eHHGjBlBQUEHDx5syFVfGb0pI4AaPXz4cPny5TNmzHBxcZk5c+arV6+UP61cuTI3Nzc8PPzatWvbt2+nJh48eDAuLo7L5VYXpyoUiuLi4pZT4NVt8JIlS+Li4lxcXFraHtK6dWuqKmtfiQihypfSN2/efLjelZZmZmbm5eVVmJKd3VTdglWuv0kSfVeQ9Ov0Gb/+Y+q5dOXy6eZZe+bODEiQ1GJBScKe/akdxswZ20OjyuAt/nJmhwGCfwVv6hdpegKBwN3dvUKcVOXEJk3Ux8dHIBCkpKRUmNLIIfnloBnucw9WCJTrXd2fRPQWGRk5ZcqUFnhCuXPnTnBwcFBQkOoHj3v16uXg4LBly5bJkyefPn26lqsaOXJkbGys6hTqhYeamprU3wRB1GY9jx8/BoA1a9ZQ0YyWlpbyJ5FINH78eDc3t5MnT06fPp2aaGtrKxAIqFQq27Nnz8uXL/X19VtOmVe3wXw+XyAQtMCPQBMEQW0tg8GorpwRQjVSNnEVFBRQAZNySmlpKTXl3bt3TRS6VV5/UyVa9CjpWmbH8SsDfKa7eywNWjOjR3ZCwr2CmhYrSDu8JxYc50611Wld1c/34xMyO9g69FH5tYZFmicoz8zMFAgEx48fVz+xSROl4rbJkyeHhIQo52n0dAsk2RqDl25fNaqDRsOr+xOJ3p49e6YaFAPAX3/9RaPRDh48ePjwYaq/TFnoqampY8aModPpGhoa06dPV+31W716NZ1O79Chw4ULF7p06RIUFERNT0hIGDJkCI1G69Chw+rVqys0gw8ZMoTJZKanpyuntGrVivr/WbNmDR48eMKECVXfQb17V/sW9YSEBOpTzUpU4MVgMKi/qT8oYrH466+/ptFoBgYGR44cUV3q/fv3ANCmTRtNTU2BQKCtra36E/VOcz6f37NnT/XbExYWRhVshbdmR0dH02i0sLCwdu3a0Wi0hQsXKnuH7969KxAIqKVGjBhRm73/xIkTpqamNBpNV1e3Qk/otm3bqM+0jRkzRrUFsa7ev3+/du3aDh060Gg0IyOjHTt21Ji6m5tbjx49AKB37940Gk01eK2u5HNycmg02v79+/l8Po1GW7FihfInJpNZZSUihOohOzu7wsd/lMFcE6ly/U2YaGl+djHoG+lTZ96CQrL0XWl2Xg2X89L7p7Yfy7SdOUNQ9Q1sFd2mNS0CISEhppUoL7WNy8fHp/Kaq5zYpImGhISEhIQ0TbOfRpfxAXvWT+/TDjTqWN2NXhEfs+e0e/fucXFxw4YNGzp0aFxcXFxcnJubG3WpnjBhQn5+/tmzZ6Oioq5fv64c7H/s2LGVK1cuXbr06NGjR48eVTa5v3792sXFhcVixcXFrVq1KigoaPfu3apppaWllZSUCIXCCtuwf//+O3fuVJhZGbfFxcUdP3585MiR9c6jiYmJQqEwNzcHgPj4+DVr1igDBVtbWw0NjbCwsO+++87Dw4Ma30aNunNycgIAHR0dGo2mbLD86aefaDTa1atXN2zYQEVXlbNTgZOTU1xcnK+vb5W//vHHH8eOHVu3bt2WLVv2799PTfTw8CgoKIiOjv7999/v3bv3/fff13gWnjhxYs+ePS9durR8+fLly5f/+uuvyjjbz89vwYIFoaGhEolk4MCBVX7uozZOnTrl6+v7ww8/xMXFubq6/vDDD1evXlWf+qpVq6hMhYWFxcXFRUVFqS951abKLVu2+Pj4rFu3Lj8/n5r44MEDLy8vKlMJCQl49UWoIaFbhVNB5WCuqYPFZki0/LqenbRr7thpO+4WlKo2+P0L1er3Ljth/54ESXbsckdzU1Nb90pdbwWP4v/M7GCj0m1a4yIA8+bNmzdvnvopjajKyKkpw6mq1x8SEuLj4/P8+fPm3rmrqu4mqojmGMFjbW1948aNsmiRRgOA69ev9+3bt23btgKBICwsTC6Xq3ZOy+Xy0NBQCwsLXV1dAHj69Km/vz/10+XLlwcPHkzFQHZ2dsqGk6ysrDdv3vz00092dnYCgWDAgAEV+ih3795979491QFVVPvW0aNHWSyWjo5O5biH+qNr167fffed+gxGR0e7uroqox8PD4/Ro0crw4XqWuny8/MPHz5MtatlZ2efPHlyxowZ2tracXFxf/3115IlS86ePUsQhLLRaPbs2SNHjlywYEHPnj2pPtNOnTqp3zBDQ0NDQ8Pq9uCgoCAul+vg4HDlypWkpCQPD4/s7OwbN24kJiba2NhQDZPjx4+XyWRqWpsuX75MNaBqa2vb29vn5ubm5uZSP508eXLu3Ll+fn4AMGjQIDMzs5s3b9rZ2dVjF4qPjx85ciS1KoFAkJycfOnSpYEDB6pJvVevXlQjZd++fVUbKasreeUMHh4ejo6OFhYWWlpaTT16GqHPTeVbuHfv3jVRV2l1wSJ1lan3zWTt5T+MDZj+28G7HcbOn565/1TZ9pxeOGrBKdUWPx2HgFO/ju2Ylxp7ORN0rMZ6jetTlLTnf3tXbupzNNCxQ3l/aMHj+IQnHWx/VOk2za5hEWWUQAU0TR26KSMnqiGmwsTnz58HBgY2XaIVplTo62sGVVZ301VEc0Rv27dvLywsPHr06OnTpw8cOEC1uqmZv02bNu3atfvpp5+OHDlCjbVXjkh7/fq1oaEh9TeDwdDT06P+5vP5gwYNcnJysra2HjBgwKhRoyokMXbs2CrT+vLLLwsKCgICAjZt2qQ6fcOGDX379hWJRCtWrJg8efLRo0fVbPCAAQOod4I4OzsvXLhw6NCh7du3r/GEwmazlV2iPB7vn3/+AQA6nS4QCKjTyldffaXaZ0o1tOro6BgbGzfKSEzl8DIDA4PXr18DANW5WSHAKigoUJZzjRlZt26d8qeXL18qkzAxMQGACt3KdTr//vHHH1ToTxk0aJD61Ota8krUsxQcDqe6NkuE0Cfko92DyQvuHgnK/mrO9hNzBa1jFx4uu5x3GLxw77HvVCNHDd0uHTWgNPvRs+IOjsuCA8Z0BBhlTjxzPxybmu3oyClveUtIyGxnu7S3SrdpDYtUjBtU/2h+Tf0I6sfez6qu7qariOaI3vr27Uu1t1GjuGpzsA0fPtza2vro0aOampqxsbG7du1Sv0jr1q2PHj0aGxt7/vz5U6dOrVq16uLFiw4ODjWm5e3tLZfLZ8+ePX/+/I4dOyqn9+rVSyAQCAQCU1PTwYMHP3/+3NjYuLqV6OnpUfmi0Whdu3Zt7IdcmgPVEknZu3cvj8dT/lP1YY6PaMiQIcuXL1f+U011NJBqjIgQalzUs9uqjW2tW7cmCKKoqKiJUjQ0NMzLy6uwfjqdzmQymy5RKirrMj5o7wrHjhoAmQDKHOt07GHZsfLcpe/I0tY6HTtSwZlGBxNTndLM7KJSoEZYlXWbLlR92rSGRaqJG5qatbW16sVUOfHQoUNNmujz589VA0Rra2to1ha4aqq7ySri41+oCIKghq/dvXuXRqPdvn1bLBZLJJKlS5c6OTkJBALVbs22bdtmZWVRf8tkspycHGWDyj///DN58uQDBw7cvHnz66+/Dg8PV03l1KlTgYGBJSUlFVLX1dWdMmWKiYnJ2rVr1YQ1JEk2bq61tbWlUqnyaYwnT56w2eyPXhdt27al/qAiVxaLdfXqVepsW8uMLFu2jOrfBAAdHR1lY5tYLAaAeudRW1s7MzNz4MCB1Ialp6c/e/ZMfepQ/qgvtXe5u7tTD6a0zJJH6DNBp9MNDQ2ZTGaF83Dl4SuNqMr1N22idA0dDQ3Q0tHRAAAozct8VapR9o/qLv5tv9CnF2RmUkPxSrOfZBa01tEpf+CsrNv0X0+b1rDIRzFv3rzKUVqVE5s00aYOFhte3Y2QZrPlbsmSJUuWLKmyTcXDw+OPP/44dOgQi8UyDaR06QAAIABJREFUMzOTyWQEQfj7+8+fP//Zs2fKAfUA4OLiMnLkyICAAFtb26ioKGVgIZPJhg8fPm/ePGdnZ5FI9Ndff1UIb6dNmyaVSjt37lz52VIajbZy5crvvvtu8eLFVAcfAPz9998aGhpPnz7dtGlTjx49VNui1Kj9G3EdHByYTObs2bM9PT0fPHjw+++/Vxc+1qi0tDQpKQkASkpKnjx5kpCQ0LlzZ2qD7927l5WVdf/+/ffv31Nj7QcPHkw9bFulL774YsCAAStWrGjXrl3r1q19fHw6d+6svi1KmZHp06enpaWtX79+69atysratWtX165dORxOcHAwj8fr16+f+g1OSUkpKSmRSCRSqTQhIYHFYllZWQHA6NGj//e//3l7e48ZM+bChQsBAQFXrlxRnzoAdOrUqXfv3mFhYSKRKCYm5qeffmrckkcI1Tucat26dVFRkbIRjgqkVKc0rirX34SJ6pjbDuh48GRQ0BczBJyCpIjf7uoKZnTroC5662g7qi8sXLdgaR41iC1JxynItmygUBXdpjUt8hEcOnSIavGqcWKTJhoYGPjtt982a87rXt2fUvRWnbFjxyYmJo4aNYogiN9++43BYDAYjMDAwPXr1w8dOtTW1nbGjBnK66uzs/PKlSt9fX0VCkVAQICuri4VixgbG4eFhW3YsGHTpk0dOnRwd3dfunSpaio9evRITEw0MzOrchvGjRu3adOmlStXUsPyqFgTABgMxtixYzdt2tTovWnGxsYHDhzw8PCIiIgAAC8vrx9//LF+q8rOzlb2EYeGhoaGhq5YsWLlypUAsGXLFuXjtNQ8MplMzctmW7VqtW/fvkmTJrm6urZp0+brr7/etm1bjRkJDw/39PSMiIig0+lr1qxRZmTFihUikWjq1KkAwOPxDh48SLXtqdlgT0/PjIwM5Qbb29tfunQJAJycnNavX79ixYodO3aYmpoGBgZ+9dVX6lOnsrN3796xY8fu37/fwcGBCugbseQRQnWi2pCvo6OjoaGhfMyoyimNHsBVXn9TJdpaRzBn1cLnCwJWzz0IAB1sF25c6NhR7SIaHR2XBy1cvTQocOlR0LGaErR+/qiy5w+q6jatYZFmRPWTBgYGqkZRVU5s6kQrBHMdO3ZspsdO61HdDdbq3r17AECSZK9eveq0ZGJiYv2eH2yIhw8fvnnzhmqPIUlSX19/y5Ytnp6eeFpECKFmU+H8/+DBg9oMkC0tLdWo1K8nl8sr3FJWnlKlzMzMyuOraqPK9dcy0YcPHzb/68QL0oPcv4/ts+noysE6zZmuRCKpTWarrIh6107jJlrLzahloh+LRCKpHG59YgO0r1y5Mnjw4D179sTHx8+dO7e4uJh69hAhhFALp1HVkKzKMVNTf4yuyvW34C/glXWbOvbWaZnbV2V4VL/QrdETberN+Ig+sS82enh4PHr0aPXq1ZmZmWw2+9ChQ6ampnhORAgh9B+lYzX/VOp8LAf0KUdvrVq1Wrt2LQ4zRwghhNBnC19thRBCCCGE0RtCCCGEEMLoDSGEEEIIYfSGEEIIIYTRG0IIIYQQamnRG0EQys+MIoQQ+mzR6XS5XI7l8F/S6F/3RvWuCAaD0ZjRm46OTnZ2NpYsQgh95giCePv2LZbDf4lMJsNCaAlKS0ur/JBJ/aM3Q0PDkpIS5VcpEUIIfZ7atWv37t274uJiLIr/BqlUio2pLaQiFAqFkZFRY0ZvTCaza9euJSUlQqEQu1ARQuizpaGhYWho+P79+5KSEmyE+6SVlpbm5+e/f/++e/fuWBofvSIUCkW3bt2YTGblGer/lXpKUVFRVlZWQUEB9pEjhNBngsVimZubV77e5ObmkiTZPM02RUVFVV7VmlR+fv5/u0uRwWDo6OgYGxszmczExMTPZH9u3br1u3fvWlpFsFgsIyOj6nbyhn4pq6SkRCaTtbRsI4QQatIgpiVc2rGvttHJZLKcnJzPrT+tBcYw79+/f/v2bUlJSZNEb3fu3Hn37p2enl6PHj1wp0cIIYQQahTPnz/PzMyUSCQ9e/as/Gv9x73l5OTI5XJzc3NjY2MsZYQQQgihxmJsbNyzZ893795V2RRa/+jt1atXHTp0oNPpWMQIIYQQQo2LTqfr6em9evWqMaO3oqIibHVDCCGEEGoixsbGRUVFjRm94WPhCCGEEEJNqspwC79zihBCCCH0KcHoDSGEEEIIozeEEEIIIYTRG0IIIYQQwugNIYQQQgijt+oFJ23+aq+NboA2059Ry//pBmh/tdcmOGkz1hb6b1JIjvze6d+7ff/VYmnL2DZp7OneX56KealoluSkkZNC6pb3/PveX+6YFVvYMqqSTF69p9ukVFHL28ekKVddTPwZ7UMcF6Ykq9bmy/t+DhsYzA29J8VG3qK+O1UYv3AbtR/quKUIK37BmkwP3KtvcjhMLG8pmSOfBditYzD9Gcx1/QOfkf86so6VHVkmxyIbvg+L06d+GeqX0vK+zvXyzizzDf1XP26ak4ZctO+gvvLs1H7b+K3KI1Quib3kYk4VfpDj6jsissZFGq/aU2L7f1lltaqvd4U0Iba/0bZZsQWf9nWj+d61+zjv0ZSoyWlZqXVdUPZOlpaVmpaVevzu0QNuh0x0u+Dlvn77uujCoThwmPw1jwBSdOHQ2Zw+k8dasRtpF5Am790eIyblwO47aa4rn6jThp0+FKc9Yro9p5HONZKk3/aefUgCAMHmO3znZsshWnztEGZmW9dZmmmU3VXpcjls3GVRox38ryJX3xQJ7I84yvatvhbQm3dkmj5BhZu7E8JJ/q4I4yehCX5bDe3DenNA2z7oB1mQTLj10KjLVdzyE+y2XK6mbgs6eL5YmrhsKeRGTorY+e9N5Ywf83Q8kCmxg+a8+U9XMIPN1TFktWm6dh62Wc9V63qaaSikt1J9As8FWEwJFGjBS6HfwpuiwfbR2zvAyyf7Vp+bCtqnVnDZahZpllYptfVOA03CkMvkaHziXY/NF73VL3RTlZaVOiVq8p/Tk/FcXL/g7ey2HUljHKYDSE77ugdkeYZOZjda/ZN5b0ggpWknjpN6k+bWadHCjIhtO8QzRkxvrG2RJG7fGCEd6GylB5I/1474X/yeuP+5dWzGoi6UkgSbqFvZEhosq8GmNgTuqKgJlBaK8xi28yxcHQl7i25igl2+o8myxHLO8F5uLlzChuOUp12LewaG2axx12dhmbYkBt0Cz3Rr2iQ4uraDTS0JABsdyfnfT96SkgKCTBclAXepXz8nAzoA14yQrUwpzANgV7uIVks4w7GtB0cnDv7kK72Zgs/gpM0NDN2UARx2odZTTkZSlqFVL13JBV/3ANGkHdum92zEA4ngfT13+WJXvh7Ptp9hndZLSlLTsnk2Vo3W1CTNSBLpuS0P3Lhm7caNgXPsiKw8kmy+cpZLzy4fYNR7pG9kmrTBXUsv7876ctv41acdTfwZTH99h5gTyu6q/Odhc0Kpvgkdu2M7VXpzpAkx/b/8PWBrVG+mP4O5bdaRHBIAyBfBI7Y4bn1RVhT5D33sQsYfyQWQCbeGd3M47ee5S4fpz2Bu+dDHkf/Y58t1+m63hMLbLibrGEx/HYer6TUUpVwUGz/ebkOlnpTcyEkh/efEznLYwGD6M0z2ByQouy2K03cf6830ZzCDXAIfS8ha7TORC3fpMP0ZRnt9TuSp9MjIJbHx5f04G/p7JiXnK2oqLll64N5ubpeCF4bqMP0Z5od33iIBAMR/jTff5ZNQNht567Kj+f5goaw8IxfKMmIU7hcrJcvnGcTcNChQIo4+253pz2D6915WY09WQfzWqEEm/gymP8Noj/eR8tyrqXc1pSK+H+C2hcH0Z7TfMXV3dR1VdLaZsSWXUf5PBYCCOl4JAyMbMx21x261HVJkSmx/84M+yyK6Ud2Xc1I/9Lfmv1CWPMN8v090To01TApv+4wIonpCu026HP9S/mFX2Xeqf3t/BtO/04jYE2JZQ26xkrce692+vF8v8KGkhtQLTngGMcz/iBS+CnAIYjD9GUYRyr7jakuezAlzCxm07JrfiE0Mpr/+iPj4fEVNx/su74TC8lK90N/8cCSVCpkbE/g7lXd9u6jghLK9rvpe41oecanBbiH1GadBvgcAknwLrLacsjtVOs/Faf+6njy1i9R0rjtL7fM6dqcjy+o3N3LStkHKrFUcKaGQJMS7mPgzmOt6e95Iz69x10pxoSqduU1ZzjXtdZ959Hb87tEqbhd6HBD5PAjuxrWwPp/l83dwN45Bt5C7vm+Lfd8W+2bHj/CwIGq7KlSbmCaD4POebZ/hl+EUtGeuJZtqkIvy+d43PGLzrJEDBg0YuWhvhnKHliTtXTTmy07tjPqMWXtaRAKAXHJ2+fe+MZIPjVwxvt/7nZWU7+Xkw6Q06GNrqhqHkRmn134/YugAu6Ejvfcm5XxY+XbvMUMHDRg6dW1UTLyog1UfDgEA0vSIxZOHDhg01N0vIirg+x/DM6hDVpoe4Tt16AC7AUPHL464Q9bQxpicRvay5WkDAJmVlp7X1cmOQwAAKT67durQAXYDBtgNGLkoQplTaXrE4vFDB9gNGDBoqPvGOGV26pLov66OzoGXzizgJS0fYGLnvjlG1MDIkSyIT6DPT/q54PEEL/jHe1m6CACATN8V8/M5Da+wcbFnRgfaSAM8/4j8cIF/T4rFkbe+OPBi4fUVmjFbb6bnAxB69sNYovOPqMuqNO1RfClntLUOdQaUCp9LHEc/LVpyL4ov3fqHT3QBAADLJPDmsldRFmZmvaMfL5MV/VIQN9CSUH9yvDnf6xbpMjz2zITYsC/ZR85N/TDeRZZ+TsJdMafg9Zwjo0uC58ZRY+mkCZenrHrBXzfu+j+T5rOfRibXOKiITN96xvuk5tIIj3tx9t3v34lXZvyl0G9hGukyPPbm7OtRg62E1+YFPpTWorikl/9J6Dzs6euZuywkO3c/lgAAh+toIYu/IpECAMiECY9FXFOnsqBHJkzJswyYI3s9L9a7TeTCsxFiOQAQFoOvFP10xYfDdXG+V/SLrOiX2+tM1N6TyCVHzs/amm8bMC72zLgjPu2SFkT5KC9LVde7mouf0Ofbk+HA3xU17sgKI9GqY6MCn0mpi5/bBobR4eBbueFUhGESdeKlAkAm3LpXh7lt/BFpciA1RGmbMlqt7nLBGT/madEvBXH9LCv3m0oyY6Rmp17//CpxsOG5OO/d1H2CLH1XzMoU9tIoj3s33Y+MhxMLzocL1UZd5KuIZefDS/i7oibERg1zzU+b6nVDSAKATLg7atSyF1YrRkVHOXto3Js1QrUS63g6TLg6b2uO7eZx1/+ZEbvZJGv3WZ9oqdrUdVzDFsr+GTnRTH9p3EJZ0S+yF5M8uXS1JV++20ffh3kzCh6PcpXc2nWifqO/ZMLdp2f9DhPDxsWeGbd1+JvgueeovY7qNZYVzdnvUjnybqwj7l/rFF2+FZkGXMu2RKMvQhampWv+nPSz7MXUQLMnPnNT0ms8eYqfRl7Wnn929vWogfyU+JmBNdwvEWbW0a9/kT128zCj126va8Gaqef0n1d3qvtJQ9tpfl/bvPsztz6WgAmAXJqQsiSa4bnyy9XzRTEedyW1XxVSG9MkSknNzcvBYeuxRTZsZRQVdfR4hr3ZGq+N2x6EzfBeFyQY8b9vOKRw74xxQdKxa/acX5MXs/bHRYs5XQ9O5+Zl/JUqtfmwyjP74kpGenLo5f9OS8rjTeLrfWiFilszZnG67aKffl3YNiNs4Q8/bORdCnRgS+IWj/s+0WrZmhA73QcRi33OgqsnTxukyZvdPSMMv1+zzZeXdcL3x+A0h91rCADRiR/dN2Y5L1izpxckBv/wkzebH73cSrvajCYm35XKT2z2SyJIUdxV0i1kMl8bQBLnO2lxmv3yTYutiIyIxYt819o4HBzLIR9G/OC5WfP7jQddeZITvjM2Bh3/xm6uGVFzoqQ046/UrOo+F2fqumzn4LQLhyJmWoSYTA3YumaSpfrGRemtlEHtU8o6HKa6Xd/Ro2wUIKHt5D3AyYAOYLJgRY+YRS+E+QqeRmFqSrHZLNcF479gA9hbaZNkuiRf/uGAZrX38LawZDHI8QNXsuVsDQBgmAlMeaGP48XWlmZy4ZUnpEV/Gy4dQAYAhBnfy4XDBmA72s4e/igg5ZXURaceraGEYddVJ3hcC302AADXUPJ41OWXEpLLJgCAbjZhgJdAmwBw9bE5efmvZLHMyYAmTnlO2vRbNaubGQEwtf/EU48jawpnk1KKzGa5erkYswF4M3NjDyeX36E8TWOZrvKxtGfRwIz9c5bI8cBzMdnNEmooLqJ79/nTuGxC7uz9VamYTQAAwbYfpr/+wCOht4mNRk78+SL+qC7csosPnevYZ6K1NgDYz7ZzjT53+VaxJ1enHmdftsDuwFltS6rFS6BHpkTsTM8nHbWJ6uqdRav+7uxxEmmyaueQiQZ0cOTy4dCo82Kx9xeWhI79unGxU5/tWnaTnOIw31oLNHWsDGgADO4Ep/MWOTEbL54wsA6cYkCAJteqAc3xnI7zl/Q2I+hg8eWqWRlTUiRZYMQjC1JTSvhTRng5cggAnrci+dzZ5HvFXmaMateTL7n8RHvi5oGeAm0AsO38XrqhMKtUYQYFibG5XG/XQO8v2ABOloTEOS7hVvHE+pS8TJzygrTp//O0bjwAmPaV9LrY7/IrqQubXV3qRD1KvjzkHWzt5cgmgOG1pCiVy6hfi37WyxLCwmK0SzceANgYWbkUaHBqbHtppCOOusFLuNq//VUAANB2Wjc60FEHQKHy67lBI1KFAITA/vrxAWZEdYuoP31o2U790t6ADvCFh7fFyUnPUiVyS67aRVjtJ86zsjdjgJn1qpkPR0U/E5MmlvXYi+te759N9CZ7V83dFo3gm8+xYMQvTTohloMBACjIl5L4WLD1tuISdKIOq0Jqg7fEPzNEf0lF2rbOKjdA0oykDL3JGwMXOegBmLo574yT0gkAaeJvYaKvfz2z1IFNByCc+eFhUhKAlEpBl6NbErfRPYz0XOOUESO1m+PEU8ZqaclZhjZWhnRlR87xHTGE54Hlk8wIAJ6bPS9OIiXlILoQdraN58FV063YAFxn2+AoyVc92HLp2ciILKeNB390YNOB72TLiwSbXmwoTIvak8j78djysTwAMBxtt2ONlFRzw52TliTS5duzCSBFN5JEdGce9ciCNm9SyLHllnw2HYDrZr/rrJig2qDOpoHdxm8ceBzgeWw61i9Pl0vUKlFpakSwb1yW+lPe21ItvdK/jkbcmONmySbU3xQqn1qgaXI4Kg9wMNhl12waodkGyEJpngI4pS+lNF0DzbJVsrgLdqie5FoRurpcDh0ACG43z/IhSkT3LsO5aQmXc70MyZgEudWsTjzlYcgmCGVIwaaRUlk9bztZOpy8G34jDocnFFBrIATK4Tg0NkuDKD9Ns0EmkcoBaHn5coLTtqxwCC0Oq8Zz0lupat51dTi6NBIAQEHmk5Jbd12Mbn+Y14yVVwqgUVNxcdtxNQCAzrHu62VdVg6Ggi5WG2/FCIstWaIECXv44HZE5YxoaLAJhTivni1AhIEOxFybOvnWifLmKEuztyQAUV29Vxu9Kch8kmQxlX1YbC6LyCvOKwUg6BwzLsdQfo7FkFqa2Au0VVI3sjHQyjrAiOca2wq4DR26QBCamtTm0QmiNZlfUkoCQOlLaUH8sj06yz7sz05qi4ssKZWSbcx0GeXHRb/dYdQPFSqRxWVBej1LXp6XXyKMPtudefZD8DlVRqpJvfpjvPqSL9uReJ3ZbAAALcvxtpb1LVwrFz5/4lnrL69bWXQc7tLHw8WoFvXVWEccfHgEgc22stCrdCqjsa1sDpwxST2VsPJeLRepknKfB2ARBJTkkzU9JqzblqOrUvIkqVLydblA1rneP5/orfr0OdZc9q1r8w6/Kr9aMDjjv30wHgBe7VwgFmPc1Thy0pKeGU7fvYd7bHH8hYxFfal7bDLjrwywWtiD6kTNuZtRyHPqSoA0LT6Z7DO/B/VMg1SUkaXNt+pIgLyEBDYn72zY0aSMXvZpMfEwfLmd3odoJukBYeX1YdBbVlJM4p3EjClDIugAQErEWXxfPhukqX9lsL+ay6MSldzNIPlOvdhQmJZ0B+yUiT4Q5hna9uEQpDgx5kbG3WdjBvxKAAApyZAO3MPTrr4JKyMpQ89t29o1tmwA6aS1o9wjrma5cXlkoTQjZvMP46KSxCQAgJ7z//hsAGD3m+RMuI/stJ3gWjm4Ltq4ahKHAPJOLRLlOKw57rCm2rOBJOm3zb4b94o43/ruWjbdnlfTCaXWTy3U8q0HVV3mCT37YW3DY0Xp3Yvj8/W9BDoNTqVStoU3ZnneIGYJjizWIkAu+vfZvBl2dDbXdMG6vpYs5cm9nRULoOZQtFXlMz7B4TlapOxLeOHEFok6d7GvvtWErGdxySVHzk1Z/cY1YFSsAR2gMGF1XExj10gLoGXjPWjpMGW/Ht2Q3xIep6ZzBbaBizuXb0rZLVMT9JXRoBHGF9PY1oOj07qf2Jd68nxmuNed8Gj7Azv61dTI1KhHnPIRhKpv29pZCnSIW0nEvVovUsOpBAAASvHa3UzVW9/bCm4HM2WDDcilCddmzrkYKWRP/LmPDQurqDFIM5JEhm6eY52dh/JECXFlQ75IUepfefyv+FTXpzQtmRp/RkpS0/J4lnxO2UzJSSTfvgcbQC4lgRAnpBt+48yTC2PSdd1U3gwifZiU+q9Bb1JRuoi34My169euJV67lnjz0YsXf3jxicKMpDTo0ZcK3iArLT6DSjQzNS27PFG5NPXPVKKvFU8bpH8n5VmtuXT95rXEa9cSr918nPtovxun2psOMiM5A3rZ8rXL7rAlcjavoy6QGXvnum/Pcd6WmKtQKF4cmmRlZUuNtCO4zhsTcxWv/rkU6Eac9vU9KgKoa6KVtiFy8dAeJiN+FdkHXrsb97+5NYduddeGzVbkvSwpH8krDvaMCq75NVQMM4Gp4ZO74QceSS262RvQP7QfSAqkpeVxp1gGBEPZzgQaDAKopriCmNXHZu1T81yBQvrkpUiXN212TyeBqb2A24Nd4wmGpknQScmb8pH/xZL8GltTWrM15R/ynlcgyVOUt/60AQCWBddeYGovMLHSLUhPo1Zcr+Ii2PbD9KXR6eGnCniOym5TAFBIXxaVP9iRL85XsHXpHzoTWK2AfFtK1iYVmfhWLiGwmj3ezF5gam/DYWs2pOWLDvlvJGUtxHKpOJ8kGLoaH/3U04atCSTBthWY2gtM7W3akfeyMvLURaKEpgYb3kryZCr3A5fiXyoq1nt+vjhfQejW7wpG0yXoJDB4Nqb2AlN7QUfD/JdpT0hSXeoAAKBJJ0AhLQEAuejI2anLbovIRi15gsEGmeSlrGw3kxR9eK2a8Hk62c7V23n/mZnXEx34KTfrOF6tIUecmg2mQ+lbsqyFTEGS7xq0s5Bked6BzJdmAZ1g0QDoBKFyxKkc7wAAeW8keR9KXkrQ61fyNdQ7Rm9V3n1KUx6mg8mcWVyO8kLyUhJzOG1HbC7BNeDr0gE1GJmRnAE9bfnaBP9rJ54oJu4hqWyQs7IypIKtu8l3CUtbnjYASZKFUpIkAYAUHtp8mnDzcuDQAUgyLzstMcfGzYYt/TtOZDrRuaPyikZmJaWRPNs+yuBNTpKFpFSaR8oB5NI4v6HmLtszSAAyTyqV5klLAIAUR+34NY5KlCyUZJUnKonfHnSa7NG3BxughCSlb6TUmUZ04scv+7hHqGmQpeJRGz6bDiCXnN3om8jz9OzHJjMTY/5mO4x1tuIQZGbc9j1xYGnL0wbpn4u/7O0eIQbQ41tZ8Q05HB5HE+qaaBUXUo7T2muPU48td+Wzm2YHJti2g1ni3Zd3xr4QiZ9FBl4KTpFzDGoeUkN07zqc8zr8SKGVSyfVt+uR4gc7991NF0vidycEJNDtHT+8bY7N/8IWJIcPPxam/LPvyAtSk0GoaSFgs9hZon37hOliSXJ0ys7o3JoaMwgzx86c5Bt+u++niyXx+69HptU0MoJoZz9MV7w7bmf0c5HwcVjoraSy5/hobMsu9sTT9csun7iVI0xJD1hwJfK+gqh/cdF5AlO+RBiexlTpNgUAuTj2r53Rz4RCcWTgnydIznALZbssg2vTiXPvbuTlF+kn0sMT3hDquqUY7M5a0oRb+6Kfi4TPY/Yn15x3NSVvaWJLiANWpcULc9JjU/xCszmCztyP/noGgm07TFeyK85v90Oh+HnM7os+IU/y1I8lYhkNtyBPrL4amZIjunU3eNm1GKmWIYsGBNt2GEu8Oy44+rmovOQHW2jXs8VgUGdu2g2f1anJwlfJ0dd8lt1MJ2mEmtTLt01gIY8/8E/yrceHDwjTSEKXaNSSZ+kLBtPit/4ZlvJKmHJn536xpKT8FB4aPWripciE50KhOD72qQi0uZz6nVvqfsSp2eu6G/HJ+36BN6m874xt4HuMyaQDKWEpr0S3bgev/lvSvZs9hw6gZenIIQ9fCz7yTPiv450K4l9Hhnwoea6gS31LXm29t0wfOzhSSDMygjLYoRP6TdwnDpYAAI0w4Di5tLV11IO8J+K8T7e/oAUFb6LUv/J4E/hsOoCpg/0XO2LiRXMt+eTfSRnaVnOpCKxQlHSH7DG7BxsATJ0n9gv7vrfWYm0C2FbT1+5Z1JcNACSZJ8mBPhNG8DU35+XoThprx6YDSJMWOwzYnE6ldNYocobz9pvHvPgEndNngpvh5JFG4WyClILNooMR0/kEgJ6d6zeckVO70BbxbJ3ceHLdPjY92ABg5jap6/Yfe2v5cq0cvulTos236cUGAJ79JOed7gPabWYTpFTbYc2hg5O41edUkpZ0Iy3idJeIqQDaPNuxC/dsn87XBmDz+NpdYFK3AAAgAElEQVRJawe129vTtk+vHkSeMlEnZ+2R7t2M1pqCSKzrtvXgHidOnROtdHbkuS5aVPfmUZWnFgDA0sf9/Ao1Q5EYlrO+Xnnr5Hy3MD8A4HbbGjZyIrcWRzPRzmlY+wAxa7iNzr/OwlbdbZ5cGWSeQ4K267rRq1THFxt0W7ru2TiPw73zgTt++CmXdupWb2G1dNpT72VR/ZcB27rPUscOSbdq2CK29YAQv/wpC3/vvwzMpg6ZaPP0RI0tiLMcA5+cnDUp3A+0XNdZ23PL0zAwW7o5W+x5dbxdEgBhOd420Id66rO+xcXlOtpoxZNm9v+amWHp0gVCI3snyIBlvDR8mKvKr2xr2w1TTo5zCwsALad1YyeqGZ4PdLPRdl6XzwZMCg8AmuXUgU42WjH1PsoNzFZtzp7lGeu4HwCAO/7r373rO5SNfBHsvM8nhTr3Pu/d/gKY9btyzdGGKI5fts9xay4111STdVMJw8Br3y1Ql0eG5SynwHtRsxYe3glAcL/wWuE0SX3JE3qu6xySJ52d6nATADiOA/bv7GdGAABhOctp5b2o+ZPCAwCAZbggfGjZqsR/udidi6HeFhG9X2e18rmfajeYLRgQ4pc3ZeHZQVsBWO2cZg/92ZGtNvWyw8d1yVcJk88OslMQFhb755mwG7fkQcfJZ5iX56nZDrcJi96BM7uZ3aNe86Ft7+eydGmM34ibYgC2GdcryNmDKvZq896IR5yaKLjP7rCSqRNjHXcDW9Bv/XijtNgGxfpOo7RiJ4bOfgmEhcXuiC/NCACg81wcAlOipnruD2YZLljX0557U+UI7Tix+/NZX14QA81s/NcHykq+unqnS6JPDpp0t+xefMSWncBwCpsRPb5dDfVewbGoE2PcXGuZqTrNXCet7t27BwAkSfbq1atOSyYmJtrZ2dVyZqZ/Fce3QY8Dyd/Ynjzx9b72oecEvBMnBq5SLIsf78UFACBfPguf/8eSKl8OVPQLPrjw3yKXiu6IgGvFYwMAKQp3H3nM/tiRuXxtLJrGVhi/8KC31O58WO/y8zv1Sv0epyKszfBdwRXjmOcBzseTp0wo/zIBAPVCfwuX8z5fYGmhT3KnfvkiPa/8SWfy1c5Jh09afxvtY/yR9+eXd2c5XyE2u28VtPjTfpfu5mPcXAMD/Gucc/IUj+SU64/u/dPAFKsMt5qp7Y3RmlH5WdGXd6fw7lJ/DjNMov6Y12PNvBpXhcfffy6kyAib+W3SN8ePLbUik/f67pQ6r/r28wndjDbp55PN8VXTol9k+S9OJiusfDpxlDdURUtuq7/L+mwV/VJw637MS71pgnbEh+Kasx+LC33Ce/Wyp8nXZy547RQwxMOaIYr+c2c609VHl/i4O7Nqi0zLOaw6szvf/eFB5emX484PdhgGAOoDOCp0O3QgvIk2r5miN3P9no3yrQVqVXgE/tewrTwXTE4Ldu/xKxj2c3Bb+usiJ87nk/sXP71qppQUkmRhfClnlY2OyulSJqzyHIqgODn2gaS7lT2HrlIyuZFYXOiT5uKwVXjOZ8HB4HwA0HEN+naBtVYL2plb/mHV0di4xgBOGbrZWPdvos1opp7T4KTNv1xa2ihb7D8kYIHtIjwCEUIIIfRRZD5/PthhWJVdqI0eulUZbjXTMxULbBdZGfZp+HqsDPtg6IYQQgihj4hqgTsWdcJn6S9NGrpVp/meiD3gdqiBAZyVYZ8Dbodwp0EIIYRQSwvgmi10a9bozUS3y5/Tk/2HBFgZ9qnTkweM1gwrwz7+QwL+nJ5sotsF95hmR6Zc6G9+uN4fhFZLIU2I7W+0bVZsQcM3M3n1nm6TUkUNXY80ctK2QYHPSKx4hBBCtQzgmjN0g+Z/39sC20XY9YlUbx80CUMuk6NBw7JACCH0SQZw1EMMzRa6wcd/Wy/63LGtB0cnDsZyQAgh9AkHcNQfzZYotnh8FvKfhy0M78b0ZzD9deyO7Sz79qJMuDW8m8NpP88dOkx/BjNk/O5nyreOkeK7Pg4bGEx/HbtTERlva0yBTIntb37QZ1lEb6Y/g7mut+eN9HzlbzlhbiGDll3zG7GJwfTXHxEfn68AAFKY4tLen8H0ZzC3eScUqqzq0iDz8GBh+WPj4hvjzXeUzVB1RoC8dXkQc9OgQIk4+mx3pj+D6d972ePyL1G+CJsTqs/0ZzD9Geb7fap8/3P15RbsFtTJ7WpZXqpelUISfbL3lydPlH0UTy7aF9HN4UIytQiZGxP4e//2/gymv75dVHCCFDtkEULoPxjANWfohtHb56EwflX0ymS9n6MmxJ5x22IjDfA8Wz6ITSG59Uho7fK0aMnt7UZpq84EUPEQ+Spi4blw6LU/bub1YO6TU/eFJbVIRyJJgt7Rr5e9ujncXnh1ZuBjlTfQytKj78O8GQWPR7lKbu06IQUAwsw6+vUvssduHmb/agImzLrZG+Sfu0x9IlMuSniUxuKOttJSkxHCYvCVop+u+HC4Ls73in6RFf1yex31iSRZ+q6YlSnspVEe9266HxkPJxacDxfW6nVCJJl7Yml0wBOTwCBbS5aaVdE4Nt1s4cW59EIAAFIafz6XI+hqxgIAmXD36Vm/w8SwcbFnxm0d/iZ47rmIJhk+iBBC6HOCPaefAYI/0+WUTwdLAwYA2FvRUi4nJIvJiVwGALAtrJZONWYDsCcMWnDq95PJBaS1FpEvuXxPa+L2gROttQH0vKY+jrxXizYjDmfaTDMeQQOz3vNn3o8/8ExMmliWfX6Fxhls7eXIJoDhtaQolav2qRVWBydH7chYkXgqx4woSD7/im3Tx4pFqz4j1X+VgSxITSnhTxnh5cghAHjeiuRzZ5PvFXuZ1fTYTGlR0taLs05qLDgxrOyDmGpWZdBxuDX4xb6QOOpwJOLYe4S9N/WVd3nWyxLCwmK0SzceANgYWbkUaHDwjgkhhBBGb6imSuYYtk7aenLmrvvlvZnaHqVlQRXBJsriK4LBJhR5+SQJACWlUmhjpkuFODQ2h8mGWkRvBKGpSYUmNE1dBpBkXilA2drpvM5sNgCAluV4W8uaVmQp4HEOPIoX9zMjnp67xbCdacSuISPVRmEvpQXxy/boLFNOYTjl1dj6JRdHX5wqJG23uy+w1qrFqrRtHY0g8EFavolZyuMMFm+BBZVtwsqFz5941vrL61YWHYe79PFwMWLj/ogQQgijN1STwvhVUd7JX6wMn8DTAMh/vmXZ382+DTSoyzeQCYtuTgb/nEvOGa75MI3VaauVVgMyomXjPWjpMJ3y9OmG/BojKJlESHK59IwrmeIJHJVvt1e3KhrHxtS29M9zydnS2By2o62yxZFtPTg6rfuJfaknz2eGe90Jj7Y/sKOfJX7eHCGEUMMuqui/jixIvyfnT+03ydHUXmBqb9G2xuCBgDZsKJXkUePDFFJJUa2+oZ73RlLWFiWXivOlBF1Xo77bTHRwcmRmnPrncLSEEHSzYtFqkREawWoF5NtSEiBfHOwZFZxSDNCGrQkkwbYVmNoLTO1t2pH3sjLyFDUlzzCbNSr2zDD7W4k++yXlrY5qV2XQabQ1xO+/cfiWhtPwDuUbJpcIn6eT7Vy9nfefmXk90YGfcjMyuRh3SYQQQhi9IfWRkBbXQJFxJDUi5ZXo1v2w0LQkSU3hC6fjcAtZ5OqrkSmvhCl3du4XS2rz1EL+68iQtHhhTnpsil9oNlfQhVv/RibCTGDCSb8ZnEC3H1be21hDRhhcm06ce3cjL79IP5EenvCGYNGBYNsO05XsivPb/VAofh6z+6JPyJM8osa9ns42aGvI7bFqBVcUErvzFgkANa1K28rFiIy+E88yse+uzDaZERo9auKlyITnQqE4PvapCLS5HGzvRgghhNEbqgHb3tvWnrwz2yG0u925yyxTe25NAQSh57pumAf8/X/27jweqvV/APhnBoPGLrKXfScqoSJLWlQikciSinTr5tKtRK6iXVLdtptKaREiKbeUsoRkaUFUEhWSGrLvvz9Ov7m+xSSh0uf96tXrzDPnPM85z/PMnI/nOeeMg+FRNfNcmC6twN6HcsaI2ci/dhl3WMsi5fFEg32/j2E4Q9lZeemiHNWfInXxRGH1IdO9FOpOs/D3/+2CutzMMe01wqNnaIzo44HwTNTZac9ywuK41srnkr8b2ihQAChjXWbumNd+4o/zasonrI82zdxkuGhMH+MnZiEzvR3TG4K80jNq4UtZkYXGyhiMoYydLtdtYpTDwNdsg8JrX9MTauPCHI42ztwzy0mBgj0SIYTQNyEVFRUBQHNzs6qq6ldt2eOP3qNfVfPda3pude5XLWxG/aJ/ETQX3rWen6d9dvEGdYzPEEIIDZAewy2cxRnmIvLDHaMXD3YpDd7//Uwp1f9XDF4a1j9Mevp4jIyfPOXLNVDuWcXNhjefIoQQ6ieM3oa5BcrWC5StB7+c5m6RXOsvWM/NlUGx74X0DBTYftUaQAghhNEb+rmwTZyemf0rH7+Q+5XV7tgPEEIIDQG8awEhhBBCCKM3hBBCCCGE0RtCCCGEEMLoDSGEEEIIozeEEEIIIYTRG0IIIYQQwugNIYQQQgijN4QQQgghNDj6/7Rebm7utLQ0rEGEEEIIoUHCzc39eWL/x95qa2uxThFCCCGEBk+P4dY3/VLW5z96jxBCCCGEBkqP85x43RtCCCGE0M8EozeEEEIIIYzeEEIIIYQQRm8IIYQQQgijN4QQQgghjN4QQgghhBBGbwghhBBCCKM3hBBCCCGM3hBCCCGE0PCI3oLSAyeHaPNu46D6U/r4j3cbx+QQ7aD0QGwtNFwZnJjyT9YR+kuqP+XRm4c/44GcfhD6yef3evG1QSpL//ikhREL+riycejU7jVM90/WEWI/pfeOHgYdqbK+YtwRdf7tXE4x9iW05/2urmFmb/oenq3UcYfVQrL/6Z6eXJokFigkHii8LsGztaOVSJTeO5roEj12mB+tGp++e0r/rD1997T7Ww7RdkS6Q7TdtxcUkR+udlDx2/Pp7Opce/0PIgYwODHlRU0Jfv//6NHbc1rx5BBt75sbcity6J+TvmjtaM2tyPG+uWFyiPZzWjG2Wb/dvHnz5s2bxHJiYmJYWNgAZp6Zmblly5YtW7bExcV97bZXrlxJSUkZwJ05fvw4sTO7d+9+9+4dNv2QWazu0ODdmreyEACq19c2eLeaSE8fpLIEOUaN4hj1jZksG+/S4N0abXN5eNR/QPKWkewjL1hdLKx+fCTr0IBX18+ooq7cJ9Fr36y/HcYucf939YeWD/S31sT/tlDF5m/TQ6H3T94ovk4kFq8pbfBu1RKdOHi9bgDJ8ss2eLfWejV+/laoeViDd+sfup4/VHP8dcvn2rP4UPOw2EVXJXmlZoWZdHZ14jdnPzAPWUn2F21zK3K+JYfcihz7i7apzhnYbP0THBxsa2sLAMnJyatWrfr3338HMHPiZ3QjIyMFBAS+dtsdO3asX79+oPakvb3dw8Nj9erVzMzMDx48UFVVLS0tZWFhGbJ6ptFo3NzcZDJeljC4IqwuYiV84gWtxFRujpGUsRSvVGNbE1YXAJTWlnKxctuPdQQAlVGqzGTmbtX1wn6eo5qQuji3RB9jMux136iutW6r0Y7Z8nMBYMpoPd5tHKU1LyR5pbBmvtYQnWCC0gM/D92MpU0afdq0xXSWjlte5908QVRLW0yn0aet0aetdmPjnhnBPQZwOIXa75gmMTFRX18/Ozt7xYoVcXFx4uLiA5j/tGnTfHx8aDSanp7eV21YX1+fkZHxtVsxkJWVJSEh4efn5+PjExwcXFlZ2dHRMaTjHwEB48aNi46OHpjzcU2JcehUqj9FeJfAhbzz9L9fP5kNMQ6dejTrMOOs8qvyJ4doU/0pXAHsTjH29a31HyPvltolMQ582ziJuQz6CPf14mvSe0dvSwkgpjm8bqzr6uoa8OpqbGu0i7Kh+lNkgsfklGfTZ42J0umr+d3eZB1hSSwzmBLafNt31E4+qj9FNljy36dXeyxO95iWZbg54706+zBMft9/Z5Rdd3YYh0794rGsvf7Hslin5bFLqP4U1b8VKusriPTC6kL945OIfTYNm15e95pe87ZRC7kC2ImaL35fzLjd2zvbqf6Ug5kHJPaIEFnVttR234Eu6CKRSAAgySulLKjMuLr6UfN1rXVUf0psYYx4oDBnANuuOzv+6/bJm4V28lP9KWKBQofvHfzy33sD2utulSTK7ZOi+lPUDyrdr8j9nzrp+lgnAGAoaTSCZcTn1aUhrCnCKcq4iN6q0SfRyybSyibSiupPEdzBG5EfTn+rt3Zn4FJhtGywJJHVjtRt9PSGtobVV1dS/SmcAWy+t7w7Ovv/nfah5YP9RVvurSOI6rpTlvrF0gV28DhGLy5+X0wcy/zweV+s+d66StCMfUToBgAP3zxgIbPwsfPhCfrHjd6iCiJ6SO3qAgAyibxu8oazD8/ce51JPzPtvrPTdYKbsdS0vmaF+hDTyMjI0Gg0Ozu7mJgYSUlJIt3T0zM2NtbFxcXExMTd3Z0e6NTU1GzYsEFOTk5PT+/GjRtEopeXV2JiIj3Pmzdvent7018+e/astbVVSUmpe7nx8fEWFhYmJia///57U1MTfaDO3d3dxMTEwcHh+vXrOjo6HBwcAFBQULBo0SITExM/P7+DBw+GhoZ+/BIsLHRycjIxMVm4cOHz588ZH2lycrKhoSGxfOfOHVNTUzY2NgCoqKggMjExMfHw8KCfEoqKiqysrIj0oKCg/755v6bQT4YSV69evXHjRh0dndTU1G9ptZpmmt7xSUIcwrGLrq6bvOG3KytC758AAGVBlbKa0u5rvqwtUxmlyji3ZbFO/CNGXraNv2AVVUJ7vvKKK5G++urK8rrXkQtjLtvGK4xUmHF6Gv3cUNNMe9/07t36DylL0g/fO3gh//yA90y/25syX9/9d/GNq3bXTz042ZdNepsSiiuKDUzbFTRj32Xb+JVaq2wirfKr8j85kS+KtG5pbz5lcYZxEfMULaoaqh5U3qfnbK44vy/7du3ZtckSevUbW3jYeA/d+/tjzV9ykuKTzliWlbTkDplEdr28/GPEk7T53uvMqIWXLtvGy/LLzjhtTNR8b+3+8TP19EreysKyP8pf173yurGOHkNQ/Sm3ShLXJ6wlTrH06956q65+1DzhSNahvJWPwxdEBiRtbmpvInbp78wD+00PPl71NMBo24Ybf2a+vss4kwHsdSmlyRbn5zqMdbxsG68/xsAoVL/gbQE92DUOnUprek/UyZIYB2ITgxNTqP6U1o5W7X/GU/0p3SP1r+11AJDw7NpCFZsG79a/DLY4xzi+/vCKcbv35n3TO4eLdgtVbS7bxh8wPfR35n76tXdW4RZ3X2dEWF08Me/U+Udnl1927vcnbluK/5N3RZcWXbm/It9Ubs7CiAWNbY2MS3+7ruak+WlpPukG79YG79Yo6xjGNc+gq3T/+8Q20nqJ5lJuNh48QffDEM2c5lfl9faW87hlnKxcG2/8N3GWU5HT1tG6YcpGVma2r8oKMY5phIWFZ8+eHR0dLSsrSx+QCwkJaW1tdXd3Ly0tnTt3rpmZ2dSpU1++fGlsbOzq6pqQkHDjxg0LC4uXL19yc3Onp6cbGxvT8zx06BAxFUtISkoyMTH5n6+JbdvS09PXr1/Px8e3cuXK7du3+/n5NTU1GRsbm5iY7Nu3r7S01NXVlcikoKBgxowZfn5+BgYG586d27p1KxG9JSQkbNy4cePGjerq6sHBwUuXLu0eQX4uNTWVjY1ty5YtABAREREeHg4ALS0tJiYmixcv9vLyevbsmZ2dnaGhoampaXV19ezZs728vCwtLaOjox0dHZ2dnbm4uPpS6PXr13vbB1FR0T179iQmJtrY2MjJyR0+fJhe571Z8++qNf+u+vRYSlNYyCynLM6QSWQjKWNa8/vLRbEOY51UR6mX1ZYBwPqEtfwjRrrreFTUVaiNUmc8YfGg8n6O6yP5kfIAIEAV3Hln+8fz6MQ1IpwiwpwiADB1jAFnAFtJTYkMnwwAMJOZd04LJJFImiLj7Mc6ppalWKvYDGzPvP3ilofu2imj9QDAQ3ftP9lH+t/JS5PmKsxbpGZHjLKU1Dx/TntGDEGRgEQikdbfWHvvdWb6sszuAzA9GsEywkDSKKbworrQ2PK61zkV2TF9uzZOmleamKTz1t/U0t5C1HxORXakdfQoDiEA8DPwNw6dSgwIpZaleOiunSZtAgB6o/VnhZmU170W55bord2JInwNNnOxcgHAJn0//2Q/ItFJw9lA0sjnptcEUa25CvMAQIhTeJBq/nedP7jZeIylTdx1Pdo62tiZ2W+VJJorWixQtgYAh7FOlwpjbj6/0dulYwPe6y4XXZotP3ej3iai3fOqHl1/9q+SgBITiemybfzjtwVbbv91dsEFABDi+FgngdP31rTUWJybu2dG8BheSXZm9m/pw5NH65kpmAOAm9Zvx3OPpb28s0DZmkG795ZPWtkd/hEj/Qz8ySQyANS11FU2VBBd6PaLW/QPLw877+KoRf3e26QXt911PKaOMQCAAKPtJ3KPP6i8ryOu21vp/ah5Bl2FSG9ub557dtZonjH+Rtvw7PxDR28936ZAIgGAlcrCrUlbqhvf0pNjF10BgMdvC24+T+hrVuhLUlJSkpKS2tvbeXj++0MnIyNDUFAwODiYRCIpKCjIy8tTKBQACAkJMTc3d3d3BwAnJycXF5empiZubu66ujpxcfE9e/Y0Nzc7OzsXFhaamZl1j96mTJlCf1lfX79z585nz57x8/MDgKGhYWVlJTEax8LCEhAQAAAKCgqcnJzEVseOHVu0aJGTkxMAODo6+vn56ejoAMD27dt9fX1NTU0BwNzcnHHo1t7enpKSsmbNGgBIS0tjZWUVEREBgI6OjkOHDk2ePBkAZGVlZWRkiAG59PR0NjY2S0tLTk7OxYsXS0hIEKOAfSl0586djOu8q6uLi4srNTX13r17X4zeVmqtmiE7i1iec2bmxz95G6tFOEWIL1MAGMMteaskEQDk+OVoTe+b25uvPo3jpHBZKi0Q4RLhoHAwyP9dYzUASPBIEC/HiYwPXxBJLMvwy25PCTj94BSt6T2R0tT28SJoDgon/WTDy877+O3jAe+ZNU00Ce6PeyX+/wv9867pnRiXGP1l8MwD/7UFdJ3PO5v+Mu2CVZQEd59uLzVXtAjOCPKdujnmcfQkicm8fZvfkeGXIRamy8zsXvNSe//n0Jo7mtmZ2d83vaMfOzOZ+bp9IuN2J3CzfvwI87Dzvm2oJpaleKWleKX3sPNK88kYShoNas0rjFQAAAoTxXfqZnrNn3909mTucfo6RJzBsKIGrNd90u5jeCSrGt4AAIlEMpQ0YmdmZ2Zi+aRONEXGEStMENVSHaX2jX2Ym42bvszDxvOm/g3jdu8tn0/a3Xncsh4/vNK80h9aapvbm9l6GuD4ovdN75bEONCHIYnBTgal96PmGXQV+h9ab+rfpDrf/eLfUeg7R28MMJGYxgprdE/565ZPVUPV3pn7l41z2X83GBvp27W3tyclJUVHRwcGBsbExKxevZoe0k2bNo34oqyvry8sLFRTUwOAuLi43bt3E+s8evRIRERESEgIAGg02ogRI86fP6+mpnb69GlXV9fu1+Zfv369+0RqQkJCR0eHjc3HP5qfPXu2adMmYmxs5syPJ7aGhobCwsJJkyYRo4P0QnNzc3V1dUeMGFFdXX3r1q2Ojo7g4GAAqK6unjBhAoMjzcrKkpKS8vX1JV5OnDjxxo0b8+fPb2hoSEtLc3Nzy8vLAwAKhTJx4kQA0NXV5ePj4+bmVlNTMzIy2r17N4lE6mOh9AnlHis8LCxs586dgoKCISEh2traX2wjWT65Pp50AYBMIssLKGSXZ4lwir5revf0/VNFAeV+d4/VV1e+qa+kTybSY8ce4lHo+nk/BXdfZSgKKP37LN5Ubk5f1jdTMF91xe1FTUlsUUwfp02JQb4e06OsYyjMrPSXrEysA3JQ36VFejxGc8X5SzSX0l+O5h7zy/a67js8SO3+jXz0/9IS+29kdKzQ2KHsKgAgOEJws2EAMYSMftbo7WTuCQcNxwmiWvTr3nIqcm4UX18xYaWW2ES4i200ADIzM+Xk5KZPn/7kyZPu0VtycrKjoyN9mbj+rLa2Ni8vj4ioiCBs1qyPY0JkMvnYsWNubm6ZmZnh4eHJycn0IgoKClhZWeXk5Ogp6enpnp6eRMTW3e3btwMDA+kBEFFoVVVV90KJGyyITIyNjRnMUX4iOTmZfgNER0fH+/fvR48eDQDOzs7Kyso3b94UEBCIjY0NDg4mxtj4+fmTkpLev3+flZXl5uampaVlbW39tYV+IiYmxsvLi0qlBgYG0uPU/uGkcJTXlXd2dRJ/EL+oLeFm/fhXvpKAcnjeOS3RiW8aKuOKYrvPVvSIGDoqqykjBkWyy7O2pQREWkcDQG5F9l9TtxCx49uGqiHunFQKlZgFBoCX/78AAJwUzppmWlN7EzFWQb+WiNExsvG+6rba7/G/GYwxnKdoQbz0nPTnUs3lmofVZsrMmiU3+4u5cbFymcjMOJ5z7O6rjHOWF/p9gMQpSoRTVE1IHQDKaktPPwglapuHjZd+7O2d7bPCTI7ODRnDI8mg3X/MmuegcNS11NH//Dh1/yQLmUWaT5rBJgPY66gs1O7t/qKmRI5f/rt/6zJo997ws/N1b/eQ7H9e173aNNWPk8LZ/cNbTCtmZWLt38AbAFApHCNYRhB70tXVtTVliyyfLB87f2+l05u4qa2ZHnkbSBqaK87vd82rCakLcQrhqflbfNeHGnR1AcCp+yfKaso26vnQkzWFNRep2cmPVPjk2YOo35KSkoiYxtLSkghW4P8nGYkgqXvcU1dX197eTjwBpLKy8ujRo56enmzPJ0oAACAASURBVEQwxMzMXFxcPH78+Ozs7GnTprGzs3ePyej3ChCamppqamqI5YCAAPoca1VVFY1GIzLftWsXMW1aXV1NLzQjIyMsLIzYscbGRvoD2xITE0VFRem3PvQoNTWVmB4FAG9v73Hjxo0fP765uTkuLs7BwUFAQKC6uvrAgQNEoffv3xcUFGxoaODj41NXV+fk5BwzZkw/Cv1EZ2enr69vZmbmN4ZuADB59JSm9iafRK8S2vOrT+KO3DtEn11VElC+8iRuopi2loj25aJYZQEVxllxs3LriOv+meCRX5WXU57tec2dSqESb0lwjz6eeyy/Ku/e68xtKQFD3DnNFMwD03allCY/efckMG0XPX2cyHhuNp4NCX8+pxVfLrqU9OL2F7MylZsTWxhz9mHYm/rKo1mHT90/KdvtXCLCISrKJbZnRrDL5WXdL9VgwFJpwb6MvX2fNu0RHzu/jrju7/G/3SlLza3I8b7plVWeRbw1U3YWcewltOce19aU0ErEuSQYt/uPWfNmCuZXn8TtTN3++sOr6MdRf/z7O5WFyniTAex1s+XnXnocHfbgVFlt6f67wTnl2TNkZn73b10G7d6bKaP1GtoafG95l9a8uPYs3i/JV5hDBAD4R4ycIKq19rr7ozcPs8rv+SR6TZft/wHOlTcLzgg6+zCshPZ8150dR7IOj6QKMCidoCsx+UNL7blHZ3Irck4/CBWkjvqWml8Wu0TjkFofP4boxxt7+/8rGwLTdu6b9bfeaH3imra/DLZ0dHUkv0ii37GFvlFqaqqzszMACAsLa2trR0ZGLl++PC0tTVZWlpgSJaI3Pz8/ABATE7OzsxMUFJSVlSWTyQEBATIyMgBQU1NTVFR04sSJzs7O3Nzcixc/PvdIVVU1P//jnX2hoaEhISHEtWs2NjY2NjYRERG1tbXq6ur09V1dXS0tLeXk5ExNTTs6OohASlFR0djYWFBQUEVFZcWKFY2NjcRs4/Tp03ft2kWlUgUFBdvb26Ojo7uHjJ9ob29PTk4mHhcsJCQ0ffp04onEbGxsampqSkpK+vr68vLy9fX1RKHKysrS0tISEhJqamp3794NCQkhplO/qtDPWVhYDFTDCXEIHzc7ueSS4970PQDgoOHkNuE34i0VQZXK+oqJYtoVdRVVDW+UBVW+mNuh2f9YhptpHdUkTrd/m358woiP/l/LY5doHdWkslBPmJ/65CmvX+X0g1DXyx8vlxm5nRsAom0uM35g79pJ65++ezrjtDGZRL606Ar92nkKE+WUxRnbyIX/ZB9x0nReqLqosLqQeEv5gNyLmhfEcmT+BS3RibecUgDAQNLwz8nrXS4v7ezq5GHjPWd5gf7UDDpbtcUXH0ctjloUvzgBAJbHLjnz8ONjq6n+FACo9WqkPxJsjoIZ6fJSC0XLb2zHELOTCy5YmJwyZCIxTRmtd3jOP/Rjf1D5YMZpYwBQElT+d/ENJjIT43bvh96q6/OaJ+a5GNR8bwwljXwNNvsn+fnd3iTGJeal50NcWMbAAPY6E+np66dsdItz6ejqoDBRAqfv/eRqnL57WVumsP/jlYuZr++u+XfVH7qeWwy3MqjGfrQ7gwHy42YnnS857UnbzURi8tLzWTbe5f+zCrW6YK79z3gAmCCqtX/W359/4sYeUu7+ietth9dN9iqqLloWuwQAlAVVTsw7RQyyMiid+PPvyJxjSy85NbU3uYxfMUli8rfUfGdXZ1tHa/dn76GvDqCKiooAoLm5WVVV9au2TEtL09XV7ePKvNs4BupuAwoThbahHltumLl7966ioiIXFxcAnDlzJiwsLD4+HqvlF0T1p2Qsy/r2C8kHRAntufpB5Veeb4blBTrZ5Vn0uz5rW2pFdgkUrS4W4xLHTojQD6XHcGuIIl9lQZVv/KGF7llhWw4/Li4uCxcuXL9+fV5e3o4dOw4fPvzrHLvIbsHa5hrsAwDQ4N3aPYz77jtz9tGZqZKGXKxc331nBuPo/sk+XPy+eIvRVl42vu2pASqjVEU5xX6Emke/Gj8Df89Jf2I9fJUhit7mKy0YqOhtvtICbLbhx9fX9+DBg/v3758yZcqOHTv6Pqw7DJR7VmEHYBzJfS8X8s79obv2B9mZAbfTZM+KuOWzTpu0dLRI8kqGL4gibj8flgeL0DAzRDOnADA5RPvbAzgNYU38nVOEEEII/SJ6DLeG7p7TUxZnNIQ1vzF0++Lv2yCEEEIIDW9DF71J8UqnOmf4G23TENakMH3FdRUUJoqGsKa/0bZU5wwpXmlsM4QQQgj9yob6fl13HQ93HQ+sd4QQQgih/iFjFSCEEEII/USGeuwtKD0wqiAivyrvV/6xeQoTRVlQZb7SAhyGRAghhNCPG709pxXbX7QdqOeG/NRaO1pzK3JyK3KiCiJOWZzBi/kQQggh1HdDN3OKodvncity7C/aYj0ghBBC6Cuit7KysrKyssEuJig9EEO33gK4oPRArAeEEEII9TV6ExcXFxcf9B+2iyqIGPA895sebPRpS192T5xbgkg5aX66eE3pIP3w7eE5x3JX5H2S+HjVs3CryB+wchBCCCE0bKO3oSkmvypvYDOU5JV01ly2L2NvY1ujgaQBkdje2d7R1TGU1dfe2d7e2f6jVQ5CCCGEMHr7Vr3dYXpkbki9d0vVOpqH7loiZdk4l+r1tQ0+rSHzTpJJZAC4tCguy+V+7oq8Ou/m1dpriNW4WLkB4E5ZqtFJ/VP3QwEgy+X+IjU7TgonPZxaNfH3Ou/mhysfpy+7l+Bwi8iKWFg/xavGq4FYLXjWgaLVxTcdk+q8my2VrQBgrsK8/N+eNPq0XXdIVBipQKxjP9ZBfqR8o09b/OIEAOBj52/0aZPmk+agcNAPp48738fKQQghhBD6btFbj5ZoLrVVs1t11e3cozNbjLYqCihK8UrtnhF091XGvoy9Nqq2LuNXEGuKcIlsvu1791WGm9ZvROyVvuweAIRbRdZ5NxPreF5zP//obPf8PSf9mVqasilxoyiXKOM9EeeWiMy/UFZTZqO6CAAcxjrGP71ifcGSi8LlpecDAMeyjyYUX3tZW2Z9wXLzbV8AqG+ts75g+bDyAT2TPu48QgghhNDPGr0pjFR8U195IifEN9HH+oJldeM7RQFlFjLLugTPDQl/Pqc9VxJUJtYseFsQ/Tgq8fkNQeooAIgqiHCPXw0AAclbbCKsiHVuv7j1ouZF9/wFqIJXn8TFPL54v/I+4z15/eHVoXt/Kx+Qm39+HgAczwkZLzoh3CpSTUhdiFMYAB69eVhRV9nY1nS56FL6yzQAaO1ovVx0idZMo2fSx51HCCGEEPpZo7cu6PokpbOr839W6OrqvtDZ1UlMRz599zTjVToAPKx8EFcU+xUldnWRSCQAIPLprdzDc46+a6y2vmB591UGCUj0vSWRSFQW6hx5M2FOkc8z7+POI4QQQgj9rNFbYfXjURxCdur23vqbwq0i+dh5C6sL2jrb7NTsF6ouGs0zuuBtft9zmylrOoZnDBOZmR5dVTW8mSYzfY68mfoodWKdivpKJQGlOfJmk0frMciKSuEAAEleSTl+OXriy9pSUS7RNboe4VaRCiMVRo4QmCNvxsvGy8fOP0fejEwif8vOI4QQQgj1EfN3LDs094SFouXhOf80tjXuurOjqLoIAILTg9y0fmNnYU8tTTmWfbTvuYVZnmNnZgeAcKtI28iF0Y+jgtODAoy3KwkoldeVE+N8/2QdtlZZGDLvJOOHzx2+d3CNzh8qgqpP3j2hJx7PCXHUWLJRzyeh+NqtkkQDSUP6s0LCrSL5tnGW0Er6vfMIIYQQQn1EKiwsBICWlhZVVdWv2jItLU1XV7ePK/Nu4xj6OysjrC+W15XfKE7YPX1PcmnSsktLfsw2oDBRaBvqsS8ihBBCqC/h1hDNnCoLqgz9Acc8jp4pOyvcKrK+tX5fxt4ftmG+S+UghBBC6GtFXowepJW/yhDNnM5XWjD0v5R15uHpMw9P//hdYb7SAvw8IIQQQj++dRu8793L3rHN/4tr2to7ZdzNtLQwH4zdGKKxN3cdDw1hTWz1z2kIa7rreGA9IIQQQj++pMTrkRej123w7kvodubUiUHajaG75/SUxRkM4D4P3U5ZnMF6QAghhH4KYqKiXwzg6KGb9kStQdqNobvnVIpXOtU5Iyg9MKogIr8q71f+eSgKE0VZUGW+0gIcdUMIIYR+xgBO39AEAD6fQh2C0A2G/okh7joeGLIghBBCaPgFcEMTusH3fd4bQgghhNDwCOCGLHT7DtHbTzpzinOdCCGEEOotgHv1+vWQhW5DGr09pxXbX7Qd+ueGDIjWjtbcipzcipyogohTFmekeKWx1yKEEEIYwNEDuCEL3YY0evt5Q7fucity7C/apjpnYJdFCCGEEBHAEQtDVugQPTEkKD1wGIRu9AAuKD0Q+ytCCCGEiLhtKEO3oYveogoientrv+nBRp+29GX3xLklhmBPVEep1Xg1/K7tPkiHgxBCCCE0HKK3/Kq8HtMleSWdNZfty9jb2NZoIGkwBHvS3tkGAO2d7YNxOAghhBBCwyR66+0OUy5WbgC4U5ZqdFL/1P1QAFg2zqV6fW2DT2vIvJNkEhkAuFi5Gn3aTs8/W7uxMXXpxwvODs4+Wu/d8n5D3fZpuwBAW0yn0aftrGV4nXfzw5WPedn5AEB/zNRs14eNPm03HZNk+GQAwEbVNtv1IYWJwsnKSd8H1wlu1etr67ybQ+adZGNm63HDPh4OQgghhNAwid56tH6KV/qyewAQbhVZ590MAFK8UrtnBN19lbEvY6+Nqq3L+BX0lcW4xPem79EUHjdeZILDWEcbtUW/XXENTNu1WnvN1DEfB+0+tNT9Ef+7DJ+MlbI1AOwy2VNRX25/0VacW9xLzwcAUkqTrS9YtnS00LOVHym/0yTwZO7xtdf+sFJZ6KTh3OOGCCGEEEI/iO/5tN6ogghaEy1o5r6A5C0PKu8DgKKAMguZZV2CZ96bR3PkzZQElekrR+SHH8w84JvoDQCWylasTKwHZx8l3hLiFH5BKyEyTCi+tsVoqxCnMAC8bXw7QVTrTX3l33f3H8k6BACvPrx89eFlZ1cnPVs5fgVmMvPJ+8fz3jx6Tnv+sra0xw0RQgghhDB6g6fvno5goQLAw8oHcUWxANA9rgKArq4u+nL3t7qgi9b03vXycuJlbkWOGJcYkQ4AXV2dTCQmALCJsHKdsMJEZoa54nwJntEe/675fB+ITT7Rlw0RQgghhL4L8g+1N4XVBW2dbXZq9gtVF43mGV3wNr/H1R6/zedl51MYqaAiqBJuFcnLztvjarkrHioLqgSnB72oeTGGZwwAKIxUmCNvRiaRJXml9UbrA0BR9eP2zvZFqnZLNJdGLYzRGz21xw0RQgghhH4QP9bvnJbQSoLTg9y0fmNnYU8tTTmWfbTH1cIenJ6vtGCTgV9Da0NA8pZHbx5qi+l8vprvLR8ffd8Fytb5VXl70nYDgJWKzfopXgCwWN1eRVBl0rGJT9893Zex13WCGysz67Wn8aH3T/S4IUIIIYTQD4JUWFgIAC0tLaqqql+1ZVpamq6ubh9X5t3GMZzu06QwUWgb6rH3IIQQQmhQ9RhuDdHMqbKgynCqymF2OAghhBD6iQxR9DZfacFwqrVhdjgIIYQQwujtU+46HhrCmsOjyjSENd11PLDrIIQQQmg4R28AcMrizDAI4DSENU9ZnMF+gxBCCKHhH71J8UqnOmf4G23TENakMFF+rmqiMFE0hDX9jbalOmdI8Upjv0EIIYTQ9zLUTwxx1/HAaUeEEEIIoX4jYxUghBBCCP1EhnrsLSg9MKogIr8q7+d6/BuFiaIsqDJfaQEOHCKEEELoV4nentOK7S/a5lbk/IzV1NrRmluRk1uRE1UQccriDF76hhBCCKHvZehmTn/e0K273Ioc+4u22G8QQgghNMyjt6D0wGEQutEDuKD0QOw6CCGEEBrO0VtUQUS/t7VRtW30aWv0aSN+YB4A+Nj5iZRLi+K+NrfDc47lrsj7joeDEEIIIfRN0ZuCprHF8rWDXUx+Vf8DppTSZOsLli0dLfSU+tY66wuWDysffK9a+5bDQQghhBD6pugNGl8VJF8e7GJ6u8P0yNyQeu+WqnU0D92PEeSycS7V62sbfFpD5p0kk8gA8OrDy8tFlzq7OrvndrnoEq2Z1j0r+oaR1tEjRwgAgK74pOI1pY0+bTccbyuMVACA4FkH7Mc6yI+Ub/Rpi1+c0FuJC5StG33ajpmdaPRpC5yxt++HgxBCCCE06NFbavQR/6Um36XsJZpLbdXsVl11O/fozBajrYoCilK8UrtnBN19lbEvY6+Nqq3L+BV9zIrY8PC9gy6xS6dKGq7QWgkAR82OF1YXLo5aJM0rvVF/EwAcyz6aUHztZW2Z9QXLzbd96Rv2WGJrR2v80ytWytbYSxBCCCH042Aeqahvqajf0tIy9GUrjFR8U195IieEh433RnFCdeM7LdGJLGSWdQmeeW8ezZE3UxJU7mNWigLKLGSWP3Q9iZejqKOIyOzIvYNRBREva8uYycwA8OjNw4q6SgnuMZeLLnXfsMcS99/d+/jtY+wiCCGEEPqxorfvWHYXdH2S0n16FAC6urr6mBWx4Zr4VRV1FQBQWvuCQaEkEonKQjWUMs4qv8egxE/eQgghhBD6EZAVFBQUFBS+S9mF1Y9HcQjZqdt7628Kt4rkY+ctrC5o62yzU7NfqLpoNM/ogrf5AKAwUmGOvBmZRJbkldYbrQ8AI0cIzJE342Xj5WPnJ94iNtQVn8TOwn7S4vQUCT0AKH5fbCw9bb7SgjDLc64T3IhCX9aWinKJrtH1CLeKVBip0GOJCCGEEEI/rO859haae8JC0fLwnH8a2xp33dlRVF0EAMHpQW5av7GzsKeWphzLPgoAVio2xLNCFqvbqwiqTDo2UXWUarhVJJFJuFUk3zbOElrJ3vQ9blq/zVdeEFsYcyTrEAD4J/ltn7bz9Pyz+VV5W5O3EOsfzwlx1FiyUc8nofjarZLEHktECCGEEPphkU6GngQAjbEaqqqqX7VlWlqarq5uH1fm3cYxnO7TpDBRaBvqsfcghBBCaFD1GG4xa0/UBoDBvmtBWVBl2PzWAnE42J8QQggh9F0M0W8tzFdaMJxqbZgdDkIIIYR+puituqwg6cLOwS7GXcdDQ1hzeFSZhrCmu44Hdh2EEEIIfZ/obbKJhcum40NQ0imLM8MggNMQ1jxlcQb7DUIIIYS+W/QGAACsQ1CSFK90qnOGv9E2DWFNChPl56omChNFQ1jT32hbqnOGFK809huEEEIIfS/MhYWFMPh3LdC563jgtCNCCCGEUL+RsQoQQgghhDB6QwghhBBCGL0hhBBCCGH0hlWAEEIIIYTRG0IIIYQQwugNIYQQQgijN6wChBBCCKGfCPO3bJyWloY1iBBCCCE0lHDsDSGEEELoZ/JNY2+6urpYgwghhBBCg6THeU4ce0MIIYQQ+plg9IYQQgghhNEbQgghhBDC6A0hhBBCCGH0hhBCCCGE0RtCCCGEEMLoDSGEEEIIYfSGEEIIIYTRG0IIDVMnckIkg8QBoL2znepPufYsHusEGwuhIcY8xOUFpQdGFUTkV+W1drT2cRMKE0VZUGW+0gJ3HQ9sMDQsGZyYskjVbtl4F+Il1Z+SsSxLdZTagBcUkR++Jemvh26Pf5aaWXXVraOz/eDsoz/OLjGRmZjJzADARGICACZy/79F/8k6subfVQAgxCFcvKb0k3erG98qH5D30f/rt4mrf5Bjd4i2i8y/AACWylah5mH09Kfvno49pEws31+RL8sv+4O0+9c21vXiaysuL/+8Lej0j08S5hQ5vyACv7XQrxK9PacV21+0za3I+doNWztacytycityogoiTlmckeKVxmbrn5s3bwKAkZERACQmJpaXl9vZ2Q1U5pmZmdeuXQMADQ2N2bNnf9W2V65c4eLimjJlykDtzPHjx1+/fg0A7OzsTk5O/Pz82PpooFCYKExkMgCQSCRmMjPzN0Rvy8a7LBvvQkQMPXw7k5mFOIR42Hh+nGMPNQ8LNQ/zSfQqqy3rni7LL9vg3dre2c69dcRwbSyCIMeoURyj8FOAvruhmzntX+jWXW5Fjv1FW2yzfgsODq6urgaA5OTkVatW6evrD2DmtbW1ABAZGfnq1auv3XbHjh11dXUDtSft7e0eHh7t7e0A8ODBA1VV1ba2tqGsZxqN1tnZif1tuGJlZmVlYqUHByNYBite4WHjfeBWYKduj3X+4zRWhNXF4JkHsGLR94/e3r9///79+8EuJig98BtDN3oAF5QeiM3Wv5gmMTFRX18/Ozt7xYoVcXFx4uLiA5j/tGnTfHx8aDSanp7eV21YX1+fkZHxtVsxkJWVJSEh4efn5+PjExwcXFlZ2dHRMZRVHRAQMG7cuOjo6AHJ7UVNiXHoVKo/RXiXwIW880TiX7d8HKL/Z9zUOHTq0azDjLMS2MHjGL24+H0x1Z9C9afMD59Hf+tg5oGR27mp/hTLcPN3jdVf3Kv8qvzJIdpUfwpXALtTjH19az39rbXX/1gW67Q8dgnVn6L6t0JlfQWRXlhdqH98ElG0adj08rrXH+P+ltolMQ582zip/hSDE1Oe04qJ9HuvM6n+lOM5x0LvnyS2on/2e8uKgUdvHs48PY3Dn5XY4Ya2BiLd4MQU31ve4w6rUf0pSgdk8948+mJWLGQW+hAOM5mFQqbQ37pVkii3T4rqT1E/qHS/IvfjR6+znepPOZh5QGKPCLHDtS21XyxFeu9o4gD/yTry36eYYVYByZuFdvJT/SligUKH7x388l9cLbW2UQu5AtiJmi9+X8y41/UPg3bvsXQG7d7Q1rD66kqqP4UzgM33lndHZ8cXex2DxmIgofi6yG5Bqj/F49qazq6Pf4k5RNsR+/PJR88n0csm0som0orqTxHcwRuRH/7FXgcAOscm7MvYq3tMi/gkdnV1AcDZh2Hy+6To6+y6s8M4dCqevFDP0dvQFBNV0MNVAsbSJo0+bdpiOkvHLa/zbp4gqqUtptPo09bo01a7sXHPjOC+Z4X6EtPIyMjQaDQ7O7uYmBhJSUki3dPTMzY21sXFxcTExN3dnR7o1NTUbNiwQU5OTk9P78aNG0Sil5dXYmIiPc+bN296e3vTXz579qy1tVVJSal7ufHx8RYWFiYmJr///ntTUxN9oM7d3d3ExMTBweH69es6OjocHBwAUFBQsGjRIhMTEz8/v4MHD4aGhn48ARQWOjk5mZiYLFy48Pnz54yPNDk52dDQkFi+c+eOqakpGxsbAFRUVBCZmJiYeHh4EF+XAFBUVGRlZUWkBwUF/XfW+ZpCu9uxY8fq1as3btyoo6OTmpr6La1W00zTOz5JiEM4dtHVdZM3/HZlRej9EwCgLKhSVvM/l+a8rC1TGaXKOLe362pOmp+W5pNu8G5t8G6Nso4h0rcm+29LCQiauS96YWxdywe947rtne2Ms1oW68Q/YuRl2/gLVlEltOcrr7h2f/fas2uTJfTqN7bwsPEeuvf3x00uOUnxSWcsy0pacodMIrv+/1zh6qsry+teRy6MuWwbrzBSYcbpacRZeYKoVoN36xLNpQ5jHYkdpl/52ltWvens6rQ4b6YySjXW9upFm9ji989Wxv23w+F5584viKrZ0KAlqm13ceEXG2W2/Nxs14fEcsXat2OFNYjllNJki/NzHcY6XraN1x9jYBSqX/C24L8PwtMreSsLy/4of133yuvGui+WUrymtMG7VUt04udv9ZhV/NMrf2ce2G968PGqpwFG2zbc+DPz9d0v/JmRtPne68yohZcu28bL8svOOG1M1Hxvva5/emus3kpn0O5W4RZ3X2dEWF08Me/U+Udnl192/mKv662xGKhr+XCr5Gaqc3qE1cUzD8P2Zewl0kPNwxq8W//Q9ewh2nt2baGKTYN3618GW5xjHF9/ePXFXgcAR7IOHp79zwv3V8kvbt8suQEA8xQtqhqqHlTeJ1aIK4o1V5yPJy/UoyG67i2/Kq+H1K4uACCTyOsmbzj78My915naYjrEuAIrM9uGKRuvPom78TyhT1mhL0lOThYWFp49e3Z0dLSsrCx9QC4kJKS1tdXd3b20tHTu3LlmZmZTp059+fKlsbGxq6trQkLCjRs3LCwsXr58yc3NnZ6ebmxsTM/z0KFDtrb/zWUnJSWZmJh0L3Tbtm3p6enr16/n4+NbuXLl9u3b/fz8mpqajI2NTUxM9u3bV1pa6urqSmRSUFAwY8YMPz8/AwODc+fObd26lYjeEhISNm7cuHHjRnV19eDg4KVLl3aPID+XmprKxsa2ZcsWAIiIiAgPDweAlpYWExOTxYsXe3l5PXv2zM7OztDQ0NTUtLq6evbs2V5eXpaWltHR0Y6Ojs7OzlxcXH0p9Pr1673tg6io6J49exITE21sbOTk5A4fPkyv896s+XcVcQH7/xxLaQoLmeWUxRkyiWwkZUxrfn+5KNZhrJPqKHXiwqP1CWv5R4x01/GoqKtQG6Xev74R9yTWW3/TYnUHAJg0eor4bqG8N48YnOfqWuseVN7PcX0kP1IeAASogjvvbP+fcSNeafuxjgDgrb+ppb2F2CSnIjvSOnoUhxAA+Bn4G4dO7erqIpFIqyeuEeEUEeYUAYCpYww4A9hKakpk+GQYlN5bVgyO8cjcYzriuuzM7MRL18vL6G8t1XQhrrIPmhEsFihU3fh25AiBflTj5aJLs+XnbtTbBACGkkZ5VY+uP/tXSeDjHzO+Bpu5WLkAYJO+n3+y37d8lnvM6lZJormixQJlawBwGOt0qTDm5vMbPQZ///WushQP3bXTpE0AQG+0/qwwk/K61+LcEr31un7sKoPG6q10BlndfnGL3ut42HkXRy1i3Ov6p6Orw2fqrBDe/wAAHytJREFUX+zM7FK80i7jXW+/uLVG5w/Gm0werWemYA4Ablq/Hc89lvbyDtEQDHodAFgoWaoJqQOAv9E2wRGCADCCZYSBpFFM4UV1obHlda9zKrJjbC7jyQt9z+iNwR2mzuOWcbJybbyxnp6SU5HT1tG6YcpGVma2r8oKMZCSkpKUlNTe3s7D899F0BkZGYKCgsHBwSQSSUFBQV5enkKhAEBISIi5ubm7uzsAODk5ubi4NDU1cXNz19XViYuL79mzp7m52dnZubCw0MzMrHv01v3Og/r6+p07dz579oy4acDQ0LCyspIYjWNhYQkICAAABQUFTk5OYqtjx44tWrTIyckJABwdHf38/HR0dABg+/btvr6+pqamAGBubs44dGtvb09JSVmzZg0ApKWlsbKyioiIAEBHR8ehQ4cmT54MALKysjIyMsSAXHp6Ohsbm6WlJScn5+LFiyUkJIhRwL4UunPnTsZ13tXVxcXFlZqaeu/evS9Gbyu1Vs2QnUUszzkz8+NoWWO1CKcImfRxjHwMt+StkkQAkOOXozW9b25vvvo0jpPCZam0QIRLhIPC0b++8b7pncT/nzWpLFQBqkBlfQVAr9EbMbUqwfNxk3Ei48MXRHZfQYb/Y+w1XWZm902k9v7Pubm5o5mdmV2GX3Z7SsDpB6doTR8v4Whqa2Swtwyy6nWKgUQW4hB2i3OJeXyR+ALhZeejv8vNyk0sEImVdZX9i97eNb0T4xKjvxzDI1nV8KZbKR8/dzzsvG8bqr/ls9xjVu+a3p1/dPZk7nH6akSU08d2ZyYzX7dPZNzr+lMnvTdWb6X3sddJ80p/aKltbm9m+//TxOe9rn942HjpfamPx87Nxt1tc5439W++2OsAQJZPjlhwGb+CnmiuaBGcEeQ7dXPM4+hJEpM/2QShoY7eekYiAYCVysKtSVuqG9/Sk2MXXQGAx28Lbn428Ib6p729PSkpKTo6OjAwMCYmZvXq1fSQbtq0acSgRX19fWFhoZqaGgDExcXt3r2bWOfRo0ciIiJCQkIAQKPRRowYcf78eTU1tdOnT7u6upLJ5O5jUd0nUhMSEjo6OmxsbIiXz54927RpEzE2NnPmx6/XhoaGwsLCSZMmEaOD9EJzc3N1dXVHjBhRXV1969atjo6O4OBgAKiurp4wYQKDI83KypKSkvL19SVeTpw48caNG/Pnz29oaEhLS3Nzc8vLywMACoUyceJEANDV1eXj4+Pm5lZTUzMyMtq9ezeJROpjofQJ5R4rPCwsbOfOnYKCgiEhIdra2l9sI1k+OUNJoz42KJlElhdQyC7PEuEUfdf07un7p4oCyj9OfyNBz8NgUdYxFGZW+kvicvLVV1e+qa88ZXHmk8iVsR6zYhBGzz07y1zRImrhJQB4UHk/MG1XrytD12DXzwAW0T0rc8X5SzSX0l+O5h7zg/SHr2qsAe91Q49olC/2uh5Hi80UzFddcXtRUxJbFIPTpuhHjd4AAICJxPTJHM1ft3yqGqr2zty/bJzL/rvB2EjfLjMzU05Obvr06U+ePOkevSUnJzs6OtKXievPamtr8/LyiIiKCMJmzfo4JkQmk48dO+bm5paZmRkeHp6cnEwvoqCggJWVVU5Ojp6Snp7u6elJRGzd3b59OzAwkB4AEYVWVVV1L5S4wYLIxNjYmMEc5SeSk5PpN0B0dHS8f/9+9OjRAODs7KysrHzz5k0BAYHY2Njg4GBijI2fnz8pKen9+/dZWVlubm5aWlrW1tZfW+gnYmJivLy8qFRqYGAgPU7tH04KR3ldeWdXJzEQ8qK2hD5QpCSgHJ53Tkt04puGyriiWPoMHWMcFI6mtmZiefXVlQaShuaK86ksVPoDIBraGt42vOVh52WQCTEeUFZTRozuZJdnbUsJiLRmdJcGMdMnwilKTBWV1ZaefhBKRKu5Fdl/Td1CLL9tqPp8hyvrKwGgraPN9Mz0I3OOEeMcPWbVm8r6ioq6cq8p3sSeVze8HYxPGZWF+urDfzdcv6gpkeOXH7LPOAeFo66ljl4Pp+6fZCGzSPNJMx5kord7e2f7rDCTo3NDxvBIMuh1X4tBu/dWem/tTmRF73XFtGJWJla2nuZnvlFNM62pvYkYfntRW8JJ4exfPv3rdVysXCYyM47nHLv7KuOc5QU8eaFe/4b/7ntwMvfEbPm5E0S16Ck5FTknc48XVRdqiU3EFhoQSUlJRExjaWlJBCvw/5OM9OeG0OOeurq69vZ24gkglZWVR48e9fT0JIIhZmbm4uLi8ePHZ2dnT5s2jZ2dvXtMRr9XgNDU1FRTU0MsBwQE0OdYq6qqaDQakfmuXbuIadPq6mp6oRkZGWFhYcSONTY2vnv3jh7SiYqK0m996FFqaioxPQoA3t7e48aNGz9+fHNzc1xcnIODg4CAQHV19YEDB4hC79+/Lygo2NDQwMfHp66uzsnJOWbMmH4U+onOzk5fX9/MzMxvDN0AYPLoKU3tTT6JXiW051efxB25d4g+u6okoHzlSdxEMW0tEe3LRbHKAip9yVBXYvKHltpzj87kVuScfhAqSB0FALPkZu++s/P2i1tP3z11j18lQBVgfAkdNyu3jrjunwke+VV5OeXZntfcqRQq43L52Pl1xHV/j//tTllqbkWO902vrPIs4i0J7tHHc4/lV+Xde525LSXgkw2nSU9PfH4ztyLneO6x+xW5olxiDLLqDf+IkRwUjp13tr+oKbn94tY/2UcG41M2W37upcfRYQ9OldWW7r8bnFOePUNm5pB9xs0UzK8+iduZuv31h1fRj6P++Pd3KssXGmWm7KzAtF0ppckltOce19aU0ErEuSQY97qvxaCxeiu9t3bnHzFygqjW2uvuj948zCq/55PoNV12UKqXicS05fZfz2nFV5/EHck6PE/Bon/59LvXWSot2JexF6dN0Q889tbVBQCn7p8wkDTcqOcz79wcIllTWFOQKig/UuHKkzhsoQGRmprq7OwMAMLCwtra2pGRkcuXL09LS5OVlSWmRInozc/PDwDExMTs7OwEBQVlZWXJZHJAQICMjAwA1NTUFBUVnThxorOzMzc39+LFi8SGqqqq+fn5xHJoaGhISAhx7ZqNjY2NjU1ERERtba26ujp9fVdXV0tLSzk5OVNT046ODiKQUlRUNDY2FhQUVFFRWbFiRWNjIzHbOH369F27dlGpVEFBwfb29ujo6O4h4yfa29uTk5Pj4uIAQEhIaPr06WFhYQDAxsampqampKSkr68vLy9fX19PFKqsrCwtLS0hIaGmpnb37t2QkBBiOvWrCv2chYXFQDWcEIfwcbOTSy457k3fAwAOGk5uE34j3lIRVKmsr5gopl1RV1HV8EZZsE/RGzcr95E5x5Zecmpqb3IZv2KSxGQA8NLzKaouMg2bTpR4bsGFLz4W69DsfyzDzbSOahJxw9+mh79YdIjZyQUXLExOGTKRmKaM1js85x8i3Uf/r+WxS7SOalJZqCfMTx3JOtR9K0NJo8Xq9pNDtJlITCHzTlKYKAyy6g2FibLZMGBbSsC+jL1jeMa463j+dXvTgH/KTKSnr5+y0S3OpaOrg8JECZy+94t3OC6PXXLm4cdfLKD6UwCg1quRmcz8srZMYf/Hq7gyX99d8++qP3Q9txhuZZCVoaSRr8Fm/yQ/v9ubxLjEvPR8NEXGMS597aT1DyofzDhtDABKgsr/Lr7BRGZi3OuUD8i9qHlBLEfmX9ASnXjLKQUATj8IpV+ST/zoQrTNZRPp6Qwaq7fSGbZ7qNUFc+1/xgPABFGt/bP+HoxvS05WLhVBVdW/FQHAdYKb87hljI99wHvdHAUz0uWlFoqWeOZCDJDS0tIAgEqlqqqqftWWaWlpurq6fVyZ+GL6hLG0SeyiK4Yn9FRGqe6b9feMU8atHa2JTskA0NHVkfwiyTF68eczKQDQ4I03Lgw3d+/eVVRU5OLiAoAzZ86EhYXFx+MvEiKEfjkltOfqB5Vfeb4hJosR6jHcGqKxNwoT5fN7RW8UXx+xhQUAMl6lH8v++Ht2RArjrLAthx8XF5eFCxeuX78+Ly9vx44dhw8f/nWOXWS3YG1zDfYBhFCDd+vZR2emShpysXIRox6jeUYX/PYUawZ9n+hNWVBlQH5rgcgKm2348fX1PXjw4P79+6dMmbJjx46+D+sOA+WeVdgBEEKEC3nn/tBdCzjLhH6E6G2+0oKBit7mKy3AZht+zM3Nzc3NsR4QQr+4B24FWAnoi4bonlN3HQ8NYc1vz0dDWJP+qykIIYQQQhi9DaJTFme+MYDTENakP9ITIYQQQgijt8ElxSud6pzhb7RNQ1jzq+48oDBRNIQ1/Y22pTpnSPFKY5shhBBC6Fc21M97c9fxwKlPhBBCCKF+I2MVIIQQQgj9RIZ67C0oPTCqICK/Ku/zx7/9dChMFGVBlflKC3A0ESGEEELDMHp7Tiu2v2g7UM8N+RG0drTmVuTkVuREFUScsjiD1+QhhBBCaAgM3czpMAvdusutyLG/aIudCSGEEELDJ3oLSg/8ltDt8JxjuSvyBmRPeszqpPnp4jWlzOT+j0TmVuQEpQdif0IIIYTQMIneogoifuRaaO9s7+jqGN7HiBBCCCGM3r5CflUPI2e87HxH54bUeTdXraP9oesJANpiOo0+bcbSJgBQsfbtZsMAAAiedcB+rIP8SPlGn7b4xQnEtgdnH633bnm/oW7VxN8BYKdJYOWf7yr/rD49/2z1+toA4+0AMFdhXv5vTxp92q47JCqMVOgtqyyX+4vU7DgpnO2d7UTKRDHt4jWljT5tqUszRDhFAeDSorgsl/u5K/LqvJtXa6/p+zEihBBCCP2U0VuPd5gaSRnL8Ms6Xly8I2Wrv9E2+ZHyPW57LPtoQvG1l7Vl1hcsN9/2BQCHsY6OGk6H7x1MKU3abrJLZZQqANS1fEgpTdYW07ldkmgsNY1YLf7pFesLllwULi89nx6zAgDPa+7nH53tXuLRuceb21u8b26Q5ZfbYbKLSBThEtl82/fuqww3rd/6fowIIYQQQgOL+TuWfbvk1gRRrSNzj41gGQEA4lwS9a31n6/26M3DirpKCe4xl4suESmKAsoVdeWe19xH84x+vOqZsoBKF3TVtdaX1ZZJ88mW1pZK88kCwPGckLWT1xHB1ofWDz1mBQC3X9zSGzO1e4ky/DLrr6/dfzdYWVBFbZQ6kVjwtiD6cZSigKLnpHXYbxBCCCH0vXzPp/U6jHV0neC2Jn6Vx79rAABIpC7oAgASkACARPpv37qgi0QiUVmoc+TNhDlFiNW6v9tj/ofnHH3XWG19wfLuqwwiz8+z6nHDrq6uz5eJhc6uTjIJH3GMEEIIoV8yeuNg5ezo7GBlYp0mbUKklNaUAsBcBTNHDScuVi76mi9rS0W5RNfoeoRbRSqMVHj8Nn8Uh5D9WAcnjaVd0JVX9ajH/KkUDgCQ5JWU45frLSsAmClrOoZnDBOZmR7PPXv/bJrM9DnyZhPFdIreFWIvQQghhBBGbwAA4Y/O1jTT9s7a39jWSKRU1ldEFUQ4ay5brO74oaWWvubxnBBa0/uNej4JxddulSSGPTh983nCwdlHV2uvOZh5oKAqv8f8D987OFPWdKXWqifvnvSWFQCEWZ5bqLqIg8IRbhWpLaYDAAFJm1UEVcKtIju7OnembsdeghBCCKEfByktLQ0AqFSqqqrqV22Zlpamq6vbx5Wp/pRfoTYbvPHGBYQQQggNmB7DrSEae6MwDf/o7Vc4RoQQQgh9d0MUvSkLqgz7qvwVjhEhhBBC3z96MwyfYhg+ZbCLma+0YNhX5a9wjAghhBD6/tHbkgk7t42zH+xi3HU8NIQ1h3E9aghruut4YH9CCCGE0KBHb3ZSOhNllg1BSacszgzXAE5DWPOUxRnsTAghhBAaiuhtaGZOAUCKVzrVOcPfaJuGsObwuMCfwkTRENb0N9qW6pwhxSuNnQkhhBBCQ4A5UC94KMtz1/HAGUaEEEIIof5Hb8rCmvigC4QQQgihnyZ6CytOVyY9M1R1HZrygtIDowoi8qvyWjt++gfbUpgoyoIq85UW4GgiQgghhIYwesv6E4Byd/Cjt+e0YvuLtrkVOcOm7lo7WnMrcnIrcqIKIk5ZnMFL3xBCCCE0FNFbonXK0JQ0zEK37nIrcuwv2qY6Z2B/QgghhNBgG6J7ToPSAxmEbtpiOo0+bcbSJn3MjY+dv9GnrdGn7dKiuCGrqcNzjuWuyGMQwAWlB2J/QgghhIaxyIvRg7Ty10VvidYpQzD8FlUQMYC51bfWWV+wfFj54Idq0YE9RoQQQgj9aNZt8F63wbsva9raO/Vxzf5Eb0NztPlVPYxa8bLzPXAraPBpXTlxFT1x2TiX6vW1DT6tkdbRI0cIAMClRXFZLvezXR/We7esm7wBAFo7Wi8XXaI107rnRt8wZN5JMolMYaJU/lm90yQQAK7YXbvpmAQAjT5tRauLX3lWRlpHv/SoEOMS77HEirVvY22vVv75rvLPd7rikwAgeNYB+7EO8iPlG33a4hcn9P0YEUIIITRsJCVej7wY/cWwzNbeKeNu5plTJ37u6K3HO0wdxzpJ80mvvrKS1vQxDpPildo9I+jwvYMusUunShqu0FpJpItwiWxN3nLzecIfk9aSST3sM7Hh3VcZ+zL22qjauoxf0drR+u/T+KljDNiY2bTFdeKfXiHWjHtymY+dv7S2lH/ESB1x3d5K5GHjcb28rLWjxXWCGwAcyz6aUHztZW2Z9QXLzbd9+36MCCGEEBo2xERFvxjA0UM37Ylag7QbzN+xCoQ5Rd7UV4bk/KMrPmnpuOUAoCigzEJm+UPXk1hhFHUUsVDwtiCqIIKbjXua9HQuVu6a/x11o2+4LsEz782jOfJmSoLKABBbdGmBivV8pQVszGxnH378JauHlffp/7Mys/ZWYtKL2zGPLy7RXCrIMQoAHr15WFFXKcE95nLRJey7CCGE0C8ewOkbmgDAjm3+Qx+6feforQu6Pknp7OoEgDXxqyrqKgCgtPbF51sR6zBO7OrqAoCrT+LqWurWT9mYW5FTXve6x33orUQih66uTiYSE31vSSQSlYVqKGWcVX6voq4cezBCCCGEAdwQh24wZDOnPaqoKx/FIWQ/1mG+8gIipbC6oK2zTVd8EjsL+0mL01Mk9Ih0JQGlOfJms2RN61rr6lvrRo4QmCNvxsvGy8fOP0fejEwiExvaqdkv/L/27j0qqmqPA/hvHgzqiIEiNBKCoAsQRptRuDIFKqirNKV4TUCSpSl6ayViV0MnV0liJoJvMfB1o+7IIx/dzEXiAxswFUwEMxYgAfJQ78hrLjDA3D/OvbPmKhiCHAS+nz9YsGc/zj7sP75rn3PmiINtTG0K7uYTUVNr05nidPuR9qcKf+jsGDob8VFltaVWI6xWyiKUgSmO5o5YuwAAAIM8wBleQmUtulHf7r0dvnYozHXF3vlf/fi/dFWiLonL2rbC7X0/54ATvx2Lv7KXKb9Td2fLnBgbU5vPL2xs17WLLcXKwBTmI2VgyshokxJ1yfas2BVu7w81GnqxNDPh6n7m08sVv7zh5JeSr+zsGDob8VEHchIXSd5d56lILzp9tiQDCxcAAAABjtmBK6+oYC26ERFHpVIRkVAoFIvFT9RSpVLJZLIuVhZGdf9lqseDvx9mJJx9eGb32o4xsXKNl7Dzj2xcjwcXAAAABpHyigomwPVSdOswbrG09ybgCdh/JFNoJHzZxnP3pZ2szRGLGAAAYFBhduCYX1gblKX05mzh0u3XZPl881r3GjZqG0dFj2DtVDpbuGARAwAADMIAx/KILD214DcxYMD/8wbDHAEAAKDPsZTewt0jJCLpAD6PEpE03D0C6wkAAAAGSHojoiO+SQM1wElE0iO+SVhMAAAAMKDSm52Z/cXF2VHe0RKRdGDc4C/gCSQiaZR39MXF2XZm9lhMAAAAwAK2v+8t3D0CVxgBAAAAuo2LUwAAAADQj7C99xabFZNakJxfc4P9r39jgYAncLZw8ZsYgP1FAAAA6PfprVhdFJoW0u1vfesXWtpacitzcitzUguSj/gm4WY4AAAAeOrYu3I64KObodzKnNC0ECwvAAAA6K/pLTYrhoXoduiNvxetLOVzH7ehKLac9CCy8cNp4fqS54eLNArtwsmhhtWWTFlat+7frlbdf2FZbmVObFYMVhgAAAA85fTmpfTwUnr09jCpBcksTKa1vbVN1/ZndbRMzT/tioi07dpnf9YAAAAwuNJbhjwzQ57Z28Pk19x4tNBs6Mj9CxLr1zfVrFGvkq1mCsNcV9xbW1u/vinx9UND+EOIyN1aVvW3+9Vr/vVd0IkHkY1EtNYjkvll2gvuGoV2lv0cIrqy7FrwpLdMBCb6ZDbddsbVsOsahfbMovPjR44noiBxyNWw6wKewMTYhKkzwnhEcfgfRBS/IFGj0M4c50VEu+ft2/NaPJ/LH8IbwlQbLbTIeOeCRqEtCS+bbjtDfwzJ8jSNQvu137ddnzUAAABAj9IbO8N0+ISpt92s8aMmLEpb+EXmpijvaAdzBwdzhy1zYg7lHvjo9KpAlzffkSwmolWy1Y0tDWEn3jMxftwr51efDv9H3jeGJV/O2VbZcCc0LcT6OetITwURZZZekB/1b25r1tfRaDWLjy0iorisbfKj/nnVeUQUf3Wv4kykYVdR3tGTLCcrzkTWNdd/5XOAKRTwBOdvn0u4ut93ov+EURO6OGsAAACAnuD34djnSs66WrnFL0gYZjSMiKxHjB1qNIzP5R+6duBGdV6xuristpSILIc//0vFpe9upjqNdpo6xrXT3m6f9bSdYVhyV3PX1cqtuqFq96Wd8Vf2ElF5XVl5XVm7rl1fp7W99WxJBhHdvJt/8tZxpvB61a+jho4y7MrB3CG96HSM6kt1k3rXvL2mQ8yYtrsu7ZBZv7RkylLrEWML7xdiPQEAAEBv68tv6337xUVhritWnvog4seVREQcjo50j1bT6XSPlnA5XCJifnYmKDkw5uctNqa2G2Z+9vmszZ1VY8Ich8ORiKSeNtM7rPPQMTBNDH9yuTwsJgAAABjg6W24sUlbe5sxz3i2/Rym5Na9m63trcHit96VLkl985inzQwiqm6omjrGdb6Dz8s2nky1ivoKPpe/dGqYn3OAvrdXJ8yzNbXlcfnzHXxEJmOIKHf5dWcLl+1Zsbcf3LY1tSUiR3PH+Q4+XA53nJm9PqjVNFbXNddNt52Z4HPwY8/1RORuLZOKphCRq5Wbi6WYiH6//ztzDHMnzCuvK6trrsXSAQAAgEGX3pR53zxoUsfN3anRapiSwvuFO7Ljlk4N2z531+nCU4evHSSi2KwYc+HohNcP6nfajt1MK1YXx766Y5zpOH1vX/t/+6Y4eLhguDIwZdoL7kS04axi2gvuysCUtvbWbaqtRBToEqQMTDHmGS+cHBo9e4u+7Y7s2CBxiIXQgrnA+smMTzd6byKiL+ZsZe692/rz5rrmemVgiquVW9T5T7FuAAAAoK9wVCoVEQmFQrFY/EQtVSqVTCbrYmWz6OE9v4V/rUfkWo91ppuE/eXkCngC9ccNWGQAAADQPR3GLZb23pwtXAbhGR+cswYAAIBexc1tYmMYv4kBPe9kc+amfrTx9rRmDQAAAPB/6Y2dYcLdIyQi6aA6sxKRNNw9AisMAAAA+mV6I6IjvkmDJ8BJRNIjvklYXgAAANCP05udmf3FxdlR3tESkVTAEwzIsyngCSQiaZR39MXF2XZm9lheAAAA8NSx/a6FcPcIXE8EAAAA6DYuTgEAAABAP8L23ltsVkxqQXJ+zY3+9QZ3AU/gbOHiNzEAG4cAAAAwWNJbsbooNC0ktzKnP56mlraW3Mqc3Mqc1ILkI75JuKcNAAAA+gp7V077b3QzlFuZE5oWgnUDAAAAfZbeCmtyWAhVsVkxAyC66QNcbFYMlg4AAAD0TXrbl/VhxIUPe3uY1ILkbrcNEodoFFqNQrvWI5IpGTl0FFNyPPj7J+1t3/yE3OU3+nA6AAAAAD1KbxnyzAx5Zm8Pk1/T/cCUWXpBftS/ua1ZX9LQUi8/6n+96te+Oms9mQ4AAABAj9Kbl9LDS+nR28N09oRp/ILEhvXNNWvUEbKPmJL3piy7t7a2UdGS+PohLodLROV1ZSdvHW/XtRv2dvLWcXWT2rArfcMU+Xfmw0YTkcz6paKVpRqF9qdF5xzNHYlo+9xdoS++7WDuoFFoTy1M72zEAGe5RqFN8DmoUWhjXonr+nQAAAAAej29sbP31qF3pUtCJr31wQ8rvs1L2ui9yWm0k52Z3dZXYi+VZ+/IjgsShyyburyLXTEN913es+zEkhnjvJa7/ZWI9vsc+O3ebwtTg+3N7NdN/4SIEq7uTy86XVb7h/yo/2fnNugbdjhiS1vLqcJ/BjrLsUoAAADg2cHvw7EdzZ2qG6oO5iSaDjH7qSj9nua+m9VfjLhGa9JX36jOm+/gM9HCuYtdOY12NuIarZKtZv60FFoyySz+8p7Ug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+ "created": 1773579816165,
+ "lastRetrieved": 1773579816165
+ }
+ }
+}
\ No newline at end of file
diff --git a/content/docs/gui/local_docs/local_docs_tags.svg b/content/docs/gui/local_docs/local_docs_tags.svg
new file mode 100644
index 00000000000..338cdc44f5c
--- /dev/null
+++ b/content/docs/gui/local_docs/local_docs_tags.svg
@@ -0,0 +1,4 @@
+
+
+
\ No newline at end of file
diff --git a/content/docs/gui/local_docs/local_docs_title.png b/content/docs/gui/local_docs/local_docs_title.png
new file mode 100644
index 00000000000..c97160c9cf7
Binary files /dev/null and b/content/docs/gui/local_docs/local_docs_title.png differ
diff --git a/content/docs/gui/user_management/_index.md b/content/docs/gui/user_management/_index.md
new file mode 100644
index 00000000000..d5b13bf77f0
--- /dev/null
+++ b/content/docs/gui/user_management/_index.md
@@ -0,0 +1,9 @@
+---
+title: Managing Users
+menutitle: Managing Users
+date: 2026-03-10
+last_reviewed: 2026-03-10
+draft: true
+weight: 20
+summary: Learn how to manage users in the GUI
+---
diff --git a/content/docs/gui/user_preferences/_index.md b/content/docs/gui/user_preferences/_index.md
index 4a6790e3b72..d78ce9a4095 100644
--- a/content/docs/gui/user_preferences/_index.md
+++ b/content/docs/gui/user_preferences/_index.md
@@ -4,8 +4,8 @@ menutitle: User Preferences
date: 2025-09-26
last_reviewed: 2025-09-29
draft: false
-weight: 90
-summary: "Personalize your GUI experience."
+weight: 30
+summary: Personalize your GUI experience
---
Users can set their own preferences for several GUI aspects. These are set in the
diff --git a/content/docs/gui/widget_collapse.png b/content/docs/gui/widget_collapse.png
index 5eeacc9f79b..8e51e7828d8 100644
Binary files a/content/docs/gui/widget_collapse.png and b/content/docs/gui/widget_collapse.png differ
diff --git a/content/docs/gui/widget_columns.png b/content/docs/gui/widget_columns.png
index 6d0c8f3d79e..b23e955d2ee 100644
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diff --git a/content/docs/vql/artifacts/calling/_index.md b/content/docs/vql/artifacts/calling/_index.md
index 57bd44b1acd..a87f81d193b 100644
--- a/content/docs/vql/artifacts/calling/_index.md
+++ b/content/docs/vql/artifacts/calling/_index.md
@@ -103,8 +103,9 @@ for example:
`SELECT * FROM Artifact.ArtifactName(parameter1='value1', parameter2='value2')`
-Since version 0.74, parameter unpacking (`` `**`=my_param_dict ``) is also
-supported for the `Artifact` plugin.
+[Argument unpacking]({{< ref "/docs/vql/fundamentals/#argument-unpacking" >}})
+(`` `**`=my_param_dict ``) is also supported for the `Artifact`
+plugin.
Backticks are used for
[names with spaces or special characters]({{< ref "/docs/vql/fundamentals/#identifiers-with-spaces" >}})
diff --git a/content/docs/vql/fundamentals/_index.md b/content/docs/vql/fundamentals/_index.md
index 4d82f700fb1..65a9c3cd973 100644
--- a/content/docs/vql/fundamentals/_index.md
+++ b/content/docs/vql/fundamentals/_index.md
@@ -79,6 +79,52 @@ type, and if they are required or optional.
{{% /notice %}}
+#### Argument unpacking
+
+Args can be passed to plugins or functions as a dict.
+
+In the following simple example, the plugin's args are first packed
+into a dict. The plugin is then passed the dict using the special `**`
+arg, which unpacks the dict into the separate arguments that the
+plugin expects.
+
+###### Example
+
+```vql
+LET args <= dict(root="c:/windows", globs="*")
+
+SELECT *
+FROM glob(`**`=args)
+```
+
+Note that the `**` has to be enclosed in backticks because
+[it is an identifier that uses non-alphanumeric characters]({{< ref "/docs/vql/fundamentals/#identifiers-with-spaces" >}}).
+
+#### Free-form Args
+
+Certain plugins and functions, namely:
+- `alert`
+- `array`
+- `chain`
+- `dict`
+- `sigma_log_sources`
+- `switch`
+- `typeof`
+
+accept arbitrary arguments, which we call "free-form args".
+
+However all args still have to be named, so you'll usually see the
+args specified as `a=, b=, c=` just for simplicity.
+
+###### Example
+
+```vql
+SELECT *
+ FROM chain(
+ a={ SELECT * FROM ...) },
+ b={ SELECT * FROM ...) })
+```
+
### Life of a query
In order to understand how VQL works, let's follow a single row through the query.
diff --git a/static/blog/data.json b/static/blog/data.json
index 7d9fe9bdefc..1a7bdc58fbf 100644
--- a/static/blog/data.json
+++ b/static/blog/data.json
@@ -1,4 +1,13 @@
[
+ {
+ "title": "Velociraptor 0.76 Release",
+ "description": "Velociraptor Release 0.76 is now available\n",
+ "link": "/blog/2026/2026-03-10-release-notes-0.76/",
+ "tags": [
+ "Release"
+ ],
+ "date": "2026-03-10"
+ },
{
"title": "Memory Analysis with Velociraptor - Part 2",
"description": "This blog is the second part of the memory analysis series.\nWe will dive into how to detect fileless malware with Velociraptor\nlive in RAM (i.e. without dumping the RAM).\n",
@@ -248,9 +257,9 @@
"date": "2022-04-21"
},
{
- "title": "Paths and filesystem accessors",
- "description": "Path handling seems like a simple task but it is surprisingly complex. This article discusses some of the nuances of thinking about paths and introduces Velociraptor's new OSPath feature that easier path manipulation from VQL queries.\n",
- "link": "/blog/2022/2022-03-21-paths/",
+ "title": "Dead disk Forensics",
+ "description": "Velociraptor features some advanced forensics capabilities, but traditionally\nonly works on live endpoints. In recent releases it is now also possible to\nuse Velociraptor on dead disk images.\n",
+ "link": "/blog/2022/2022-03-22-deaddisk/",
"tags": [
"Forensics",
"VQL"
@@ -258,9 +267,9 @@
"date": "2022-03-20"
},
{
- "title": "Dead disk Forensics",
- "description": "Velociraptor features some advanced forensics capabilities, but traditionally\nonly works on live endpoints. In recent releases it is now also possible to\nuse Velociraptor on dead disk images.\n",
- "link": "/blog/2022/2022-03-22-deaddisk/",
+ "title": "Paths and filesystem accessors",
+ "description": "Path handling seems like a simple task but it is surprisingly complex. This article discusses some of the nuances of thinking about paths and introduces Velociraptor's new OSPath feature that easier path manipulation from VQL queries.\n",
+ "link": "/blog/2022/2022-03-21-paths/",
"tags": [
"Forensics",
"VQL"
@@ -281,6 +290,15 @@
],
"date": "2022-01-12"
},
+ {
+ "title": "Velociraptor 0.6.3 Release",
+ "description": "Our latest Velociraptor release contains many new features and bug fixes. This post outlines some of the more interesting changes.\n",
+ "link": "/blog/2022/2022-01-05-release-notes-0.6.3/",
+ "tags": [
+ "Release"
+ ],
+ "date": "2022-01-05"
+ },
{
"title": "Searching for files",
"description": "A common technique in DFIR is simply searching the filesystem for files. While this seems like a simple task, there are some surprising traps. This article covers some of the issues and possible solutions.\n",
@@ -292,15 +310,6 @@
],
"date": "2022-01-05"
},
- {
- "title": "Velociraptor 0.6.3 Release",
- "description": "Our latest Velociraptor release contains many new features and bug fixes. This post outlines some of the more interesting changes.\n",
- "link": "/blog/2022/2022-01-05-release-notes-0.6.3/",
- "tags": [
- "Release"
- ],
- "date": "2022-01-05"
- },
{
"title": "SFTP in AWS",
"description": "Velociraptor can use sftp to securely transfer data to an AWS S3 bucket. However configuring this service securely is not trivial. This post walks the reader through the steps of setting up a secure sftp upload only bucket that can be used with Velociraptor.\n",
@@ -553,15 +562,6 @@
],
"date": "2020-09-27"
},
- {
- "title": "Profiling the beast",
- "description": "Velociraptors exposing their inner workings\u2026",
- "link": "/blog/2020/2020-08-16-profiling-the-beast-58913437fd16/",
- "tags": [
- "Internals"
- ],
- "date": "2020-08-16"
- },
{
"title": "Velociraptor SSO Authentication",
"description": "Protect your Velociraptor with OAuth2",
@@ -572,6 +572,15 @@
],
"date": "2020-08-16"
},
+ {
+ "title": "Profiling the beast",
+ "description": "Velociraptors exposing their inner workings\u2026",
+ "link": "/blog/2020/2020-08-16-profiling-the-beast-58913437fd16/",
+ "tags": [
+ "Internals"
+ ],
+ "date": "2020-08-16"
+ },
{
"title": "Triage with Velociraptor\u200a\u2014\u200aPt 4",
"description": "Building a stand-alone collector with the GUI",
@@ -836,13 +845,6 @@
"tags": [],
"date": "2018-08-10"
},
- {
- "title": "Browsing around the filesystem.",
- "description": "Browsing the client's filesystem is probably the first thing\nresponders do. Both GRR and Velociraptor have a nice VFS abstraction\nthat allows users to browse files interactively. However, in order to\nmake Velociraptor much faster we made some tradeoffs and improved the\nway that the VFS is stored in the datastore.\n",
- "link": "/blog/html/2018/08/10/browsing_around_the_filesystem/",
- "tags": [],
- "date": "2018-08-10"
- },
{
"title": "Design differences between Velociraptor and GRR",
"description": "One of the main motivators for developing Velociraptor is the\nopportunity to try different approaches than GRR. Velociraptor has a\nnumber of fundamental design differences in contrast with the GRR\ndesign which improve overall performance and scalability. We tried to\nkeep it light weight cutting out the features we think we did not need\nand leaving behind a fast, lean and mean raptor!\n",
@@ -857,6 +859,13 @@
"tags": [],
"date": "2018-08-10"
},
+ {
+ "title": "Browsing around the filesystem.",
+ "description": "Browsing the client's filesystem is probably the first thing\nresponders do. Both GRR and Velociraptor have a nice VFS abstraction\nthat allows users to browse files interactively. However, in order to\nmake Velociraptor much faster we made some tradeoffs and improved the\nway that the VFS is stored in the datastore.\n",
+ "link": "/blog/html/2018/08/10/browsing_around_the_filesystem/",
+ "tags": [],
+ "date": "2018-08-10"
+ },
{
"title": "Interrogation - Make the endpoint tell us what it knows!",
"description": "Interrogation is the process of learning general information about the\nendpoint we are monitoring. Each endpoint is automatically\ninterrogated when it first joins the Velociraptor server, and the GUI\nshows this general information about each client.\n",