diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
new file mode 100644
index 000000000..ebe87da04
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -0,0 +1,92 @@
+# fusion properties
+
+
+
+## Getting started
+
+To make it easy for you to get started with GitLab, here's a list of recommended next steps.
+
+Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
+
+## Add your files
+
+- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
+- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
+
+```
+cd existing_repo
+git remote add origin https://gitlab.com/orbital-debris-research/fusion-properties.git
+git branch -M main
+git push -uf origin main
+```
+
+## Integrate with your tools
+
+- [ ] [Set up project integrations](https://gitlab.com/orbital-debris-research/fusion-properties/-/settings/integrations)
+
+## Collaborate with your team
+
+- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
+- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
+- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
+- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
+- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
+
+## Test and Deploy
+
+Use the built-in continuous integration in GitLab.
+
+- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
+- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
+- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
+- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
+- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
+
+***
+
+# Editing this README
+
+When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!).  Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
+
+## Suggestions for a good README
+Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
+
+## Name
+Choose a self-explaining name for your project.
+
+## Description
+Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
+
+## Badges
+On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
+
+## Visuals
+Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
+
+## Installation
+Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
+
+## Usage
+Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
+
+## Support
+Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
+
+## Roadmap
+If you have ideas for releases in the future, it is a good idea to list them in the README.
+
+## Contributing
+State if you are open to contributions and what your requirements are for accepting them.
+
+For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
+
+You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
+
+## Authors and acknowledgment
+Show your appreciation to those who have contributed to the project.
+
+## License
+For open source projects, say how it is licensed.
+
+## Project status
+If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
-- 
2.51.2


From dfa0e515f75d3dd008753c066667440317d86b38 Mon Sep 17 00:00:00 2001
From: Anson Biggs <anson@ansonbiggs.com>
Date: Sat, 12 Feb 2022 15:06:39 -0700
Subject: [PATCH 02/12] code to write fusion properties to files

---
 .../directed-study/report-1/README.md         | 93 +------------------
 .../directed-study/report-1/prop_to_txt.ahk   | 30 ++++++
 2 files changed, 31 insertions(+), 92 deletions(-)
 create mode 100644 orbital-debris-research/directed-study/report-1/prop_to_txt.ahk

diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index ebe87da04..4d9d76547 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1,92 +1 @@
-# fusion properties
-
-
-
-## Getting started
-
-To make it easy for you to get started with GitLab, here's a list of recommended next steps.
-
-Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
-
-## Add your files
-
-- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
-- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
-
-```
-cd existing_repo
-git remote add origin https://gitlab.com/orbital-debris-research/fusion-properties.git
-git branch -M main
-git push -uf origin main
-```
-
-## Integrate with your tools
-
-- [ ] [Set up project integrations](https://gitlab.com/orbital-debris-research/fusion-properties/-/settings/integrations)
-
-## Collaborate with your team
-
-- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
-- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
-- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
-- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
-- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
-
-## Test and Deploy
-
-Use the built-in continuous integration in GitLab.
-
-- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
-- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
-- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
-- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
-- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
-
-***
-
-# Editing this README
-
-When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!).  Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
-
-## Suggestions for a good README
-Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
-
-## Name
-Choose a self-explaining name for your project.
-
-## Description
-Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
-
-## Badges
-On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
-
-## Visuals
-Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
-
-## Installation
-Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
-
-## Usage
-Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
-
-## Support
-Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
-
-## Roadmap
-If you have ideas for releases in the future, it is a good idea to list them in the README.
-
-## Contributing
-State if you are open to contributions and what your requirements are for accepting them.
-
-For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
-
-You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
-
-## Authors and acknowledgment
-Show your appreciation to those who have contributed to the project.
-
-## License
-For open source projects, say how it is licensed.
-
-## Project status
-If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
+# Fusion Properties
diff --git a/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk b/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk
new file mode 100644
index 000000000..063e6e196
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk
@@ -0,0 +1,30 @@
+#Persistent
+OnClipboardChange("ClipChanged")
+return
+
+ClipChanged(Type) {
+;    _____ _                            
+;   / ____| |                           
+;  | |    | |__   __ _ _ __   __ _  ___ 
+;  | |    | '_ \ / _` | '_ \ / _` |/ _ \
+;  | |____| | | | (_| | | | | (_| |  __/
+;   \_____|_| |_|\__,_|_|_|_|\__, |\___|
+;            |  \/  |  ____|  __/ |     
+;            | \  / | |__    |___/      
+;            | |\/| |  __|              
+;            | |  | | |____             
+;            |_|  |_|______|       
+;           
+;             \/\/\/\/\/\/\/\/\/\/\/\/\/\/
+outputDir := "C:\Coding\fusion-properties\parts\"
+
+
+Random, rand, 10000, 99999
+
+file := FileOpen(outputDir . rand . ".txt","w")
+
+file.Write(clipboard)
+file.Close()
+}
+
+Esc::ExitApp  ; Exit script with Escape key
-- 
2.51.2


From 22b74ad1dfc21bb4ab556ba7cbd97027fa5db8cd Mon Sep 17 00:00:00 2001
From: MisterBiggs <anson@ansonbiggs.com>
Date: Sat, 12 Feb 2022 19:05:32 -0700
Subject: [PATCH 03/12] parsed and compiled data

---
 .../directed-study/report-1/.gitignore        |  14 ++
 .../directed-study/report-1/README.md         |   2 +-
 .../directed-study/report-1/compiled.csv      |  49 +++++++
 .../directed-study/report-1/parser/Cargo.toml |  11 ++
 .../report-1/parser/src/main.rs               | 120 ++++++++++++++++++
 .../directed-study/report-1/parts/10501.txt   |  45 +++++++
 .../directed-study/report-1/parts/11951.txt   |  45 +++++++
 .../directed-study/report-1/parts/12018.txt   |  45 +++++++
 .../directed-study/report-1/parts/14254.txt   |  45 +++++++
 .../directed-study/report-1/parts/14404.txt   |  45 +++++++
 .../directed-study/report-1/parts/14426.txt   |  45 +++++++
 .../directed-study/report-1/parts/21503.txt   |  45 +++++++
 .../directed-study/report-1/parts/25887.txt   |  45 +++++++
 .../directed-study/report-1/parts/28935.txt   |  45 +++++++
 .../directed-study/report-1/parts/33934.txt   |  45 +++++++
 .../directed-study/report-1/parts/34210.txt   |  45 +++++++
 .../directed-study/report-1/parts/36877.txt   |  45 +++++++
 .../directed-study/report-1/parts/38655.txt   |  45 +++++++
 .../directed-study/report-1/parts/40108.txt   |  45 +++++++
 .../directed-study/report-1/parts/41617.txt   |  45 +++++++
 .../directed-study/report-1/parts/43055.txt   |  45 +++++++
 .../directed-study/report-1/parts/44337.txt   |  45 +++++++
 .../directed-study/report-1/parts/46296.txt   |  45 +++++++
 .../directed-study/report-1/parts/48239.txt   |  45 +++++++
 .../directed-study/report-1/parts/49117.txt   |  45 +++++++
 .../directed-study/report-1/parts/53268.txt   |  45 +++++++
 .../directed-study/report-1/parts/53893.txt   |  45 +++++++
 .../directed-study/report-1/parts/55606.txt   |  45 +++++++
 .../directed-study/report-1/parts/62596.txt   |  45 +++++++
 .../directed-study/report-1/parts/63165.txt   |  45 +++++++
 .../directed-study/report-1/parts/63167.txt   |  45 +++++++
 .../directed-study/report-1/parts/65245.txt   |  45 +++++++
 .../directed-study/report-1/parts/67242.txt   |  45 +++++++
 .../directed-study/report-1/parts/68796.txt   |  45 +++++++
 .../directed-study/report-1/parts/70067.txt   |  45 +++++++
 .../directed-study/report-1/parts/71882.txt   |  45 +++++++
 .../directed-study/report-1/parts/73699.txt   |  45 +++++++
 .../directed-study/report-1/parts/74919.txt   |  45 +++++++
 .../directed-study/report-1/parts/79606.txt   |  45 +++++++
 .../directed-study/report-1/parts/83777.txt   |  45 +++++++
 .../directed-study/report-1/parts/84759.txt   |  45 +++++++
 .../directed-study/report-1/parts/85201.txt   |  45 +++++++
 .../directed-study/report-1/parts/85946.txt   |  45 +++++++
 .../directed-study/report-1/parts/86484.txt   |  45 +++++++
 .../directed-study/report-1/parts/88314.txt   |  45 +++++++
 .../directed-study/report-1/parts/90603.txt   |  45 +++++++
 .../directed-study/report-1/parts/93350.txt   |  45 +++++++
 .../directed-study/report-1/parts/93639.txt   |  45 +++++++
 .../directed-study/report-1/parts/93946.txt   |  45 +++++++
 .../directed-study/report-1/parts/96358.txt   |  45 +++++++
 .../directed-study/report-1/parts/96583.txt   |  45 +++++++
 .../directed-study/report-1/parts/96669.txt   |  45 +++++++
 .../directed-study/report-1/parts/99258.txt   |  45 +++++++
 .../directed-study/report-1/prop_to_txt.ahk   |  60 ++++-----
 54 files changed, 2385 insertions(+), 31 deletions(-)
 create mode 100644 orbital-debris-research/directed-study/report-1/.gitignore
 create mode 100644 orbital-debris-research/directed-study/report-1/compiled.csv
 create mode 100644 orbital-debris-research/directed-study/report-1/parser/Cargo.toml
 create mode 100644 orbital-debris-research/directed-study/report-1/parser/src/main.rs
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/10501.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/11951.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/12018.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/14254.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/14404.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/14426.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/21503.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/25887.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/28935.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/33934.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/34210.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/36877.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/38655.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/40108.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/41617.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/43055.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/44337.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/46296.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/48239.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/49117.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/53268.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/53893.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/55606.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/62596.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/63165.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/63167.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/65245.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/67242.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/68796.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/70067.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/71882.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/73699.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/74919.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/79606.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/83777.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/84759.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/85201.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/85946.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/86484.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/88314.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/90603.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/93350.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/93639.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/93946.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/96358.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/96583.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/96669.txt
 create mode 100644 orbital-debris-research/directed-study/report-1/parts/99258.txt

diff --git a/orbital-debris-research/directed-study/report-1/.gitignore b/orbital-debris-research/directed-study/report-1/.gitignore
new file mode 100644
index 000000000..ada8be928
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/.gitignore
@@ -0,0 +1,14 @@
+# Generated by Cargo
+# will have compiled files and executables
+debug/
+target/
+
+# Remove Cargo.lock from gitignore if creating an executable, leave it for libraries
+# More information here https://doc.rust-lang.org/cargo/guide/cargo-toml-vs-cargo-lock.html
+Cargo.lock
+
+# These are backup files generated by rustfmt
+**/*.rs.bk
+
+# MSVC Windows builds of rustc generate these, which store debugging information
+*.pdb
\ No newline at end of file
diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index 4d9d76547..e3aacb207 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1 +1 @@
-# Fusion Properties
+# Fusion Properties
diff --git a/orbital-debris-research/directed-study/report-1/compiled.csv b/orbital-debris-research/directed-study/report-1/compiled.csv
new file mode 100644
index 000000000..ea65c5369
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/compiled.csv
@@ -0,0 +1,49 @@
+part_number,part_name,material_name,mass,volume,density,area,cmX,cmY,cmZ,bb_length,bb_width,bb_height,Ixx,Ixy,Ixz,Iyx,Iyy,Iyz,Izx,Izy,Izz
+camera_mount,camera_mount,SOLIDWORKS,1.066,995.9,0.001,2069.301,26.077,77.19,3.791e-6,15.0,29.904,16.0,106.388,14.146,0.00004366,14.146,50.609,-0.00002246,0.00004366,-0.00002246,96.709
+ISIS_ISPA_1U_SIDE.stp,ISIS_ISPA_1U_SIDE.stp,Steel,108.079,13768.029,0.008,19215.837,101.414,102.908,-0.712,98.0,4.95,82.6,71947.322,290.86,-1871.371,290.86,168900.0,-36.897,-1871.371,-36.897,97174.771
+Transceiver,Transceiver,Steel,433.406,55210.971,0.008,57969.555,98.357,-33.327,34.57,94.305,96.0,23.241,349100.0,-21151.644,452.774,-21151.644,209400.0,-11695.911,452.774,-11695.911,548600.0
+projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,12.192,62.501,12.192,10.037,10.736,10.037,6.898,-0.237,-0.964,-0.237,10.173,-0.237,-0.964,-0.237,6.898
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,100.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,50.0,-6.838,-53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,22.007,0.0,22.007,1263.292
+EPS,EPS,Steel,2445.66,311500.0,0.008,81469.345,97.5,77.673,0.0,96.0,57.0,90.0,2111000.0,5.684e-9,8.708e-9,5.684e-9,3554000.0,-2.275e-7,8.708e-9,-2.275e-7,2351000.0
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,50.0,-6.838,53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,-22.007,0.0,-22.007,1263.292
+Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,-47.0,20.0,36.626,33.0,33.0,38.4,6948.003,0.0,0.0,0.0,6948.003,1.907e-7,0.0,1.907e-7,8030.751
+94125K112_COMPRESSION,94125K112_COMPRESSION,Steel,3.615,460.535,0.008,1181.069,0.002,40.69,0.115,14.263,27.202,14.263,297.902,-8.916,0.008,-8.916,142.892,0.006,0.008,0.006,298.189
+Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,-55.0,8.674,3.51e-10,33.0,38.4,33.0,6948.003,0.0,0.0,0.0,8030.751,-1.907e-7,0.0,-1.907e-7,6948.003
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,0.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+Star,Star,Steel,1630.538,207700.0,0.008,22393.539,-99.709,-46.985,-0.002,95.0,50.0,44.0,604200.0,1141.64,-180.799,1141.64,1475000.0,90.57,-180.799,90.57,1552000.0
+NANO,NANO,Steel,7148.863,910700.0,0.008,62516.961,0.196,-50.181,0.007,99.0,98.5,101.942,11020000.0,-44155.286,9346.828,-44155.286,11340000.0,-1856.989,9346.828,-1856.989,11070000.0
+6U,6U,Steel,141.036,17966.31,0.008,33980.334,114.874,-107.204,15.729,283.0,10.74,283.0,123300.0,594.999,49544.957,594.999,249700.0,103.946,49544.957,103.946,127900.0
+Runcam,Runcam,Steel,12.203,1554.512,0.008,2351.908,22.024,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
+Runcam,Runcam,Steel,12.203,1554.512,0.008,2351.908,-22.19,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
+Sat,Sat,SOLIDWORKS,907.378,336100.0,0.003,309800.0,-0.183,9.787,0.0,300.0,200.0,100.0,5943000.0,-9889.642,2.304e-7,-9889.642,9867000.0,4.898e-8,2.304e-7,4.898e-8,12760000.0
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-99.915,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+ISIS_iSPA_3U_BMSP.stp,ISIS_iSPA_3U_BMSP.stp,Steel,365.628,46576.871,0.008,55492.134,-312.965,100.861,0.06,325.0,3.87,82.6,203300.0,-494.885,2050.657,-494.885,3421000.0,24.145,2050.657,24.145,3218000.0
+Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,-34.5,48.078,-26.0,11.0,84.0,11.0,29861.282,0.0,0.0,0.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282
+Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,38.624,37.3,3.51e-10,38.4,33.0,33.0,8030.751,0.0,-1.907e-7,0.0,6948.003,0.0,-1.907e-7,0.0,6948.003
+piece,piece,Steel,4.211,536.42,0.008,874.34,2.808,17.795,3.382,5.3,11.75,29.872,293.908,-0.239,14.364,-0.239,271.745,3.944,14.364,3.944,34.92
+Control,Control,Steel,133.418,16995.941,0.008,30952.471,-99.965,-66.081,-39.009,66.0,57.65,19.0,37456.154,-3.29,1.794,-3.29,43890.031,450.15,1.794,450.15,69728.676
+camera_mount,camera_mount,SOLIDWORKS,1.066,995.9,0.001,2069.301,-26.077,77.19,-3.791e-6,15.0,29.904,16.0,106.388,-14.146,0.00004366,-14.146,50.609,0.00002246,0.00004366,0.00002246,96.709
+hopper,hopper,SOLIDWORKS,20.543,2633.756,0.008,6078.184,0.0,78.286,-1.095e-9,24.0,50.311,44.0,6116.051,0.0,0.0,0.0,2739.986,-9.539e-8,0.0,-9.539e-8,5261.763
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,99.915,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,-153.505,-16.838,-44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,-51.5,-103.505,-1.662,11.0,6.0,33.5,1185.612,0.0,0.0,0.0,1263.292,-22.007,0.0,-22.007,137.268
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,153.505,18.338,44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
+projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,12.192,62.501,-12.192,10.037,10.736,10.037,6.898,-0.237,0.964,-0.237,10.173,0.237,0.964,0.237,6.898
+GPS,GPS,Steel,46.103,5872.947,0.008,13143.977,-100.011,-59.558,40.874,70.0,70.0,9.69,7391.782,-0.489,0.13,-0.489,6207.598,206.025,0.13,206.025,13248.414
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-100.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,26.5,7.8,-0.749,11.0,11.0,84.0,29861.282,0.0,0.0,0.0,29861.282,1.175e-6,0.0,1.175e-6,865.842
+projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,-12.192,62.501,12.192,10.037,10.736,10.037,6.898,0.237,0.964,0.237,10.173,-0.237,0.964,-0.237,6.898
+spring_adaptor,spring_adaptor,SOLIDWORKS,9.266,3431.699,0.003,3369.751,0.0,53.939,-2.648e-9,45.0,2.5,45.0,1253.994,0.0,0.0,0.0,2498.336,0.0,0.0,0.0,1253.994
+6U,6U,Steel,141.036,17966.31,0.008,33980.334,-114.874,-107.204,-15.729,283.0,10.74,283.0,123300.0,-594.999,49544.957,-594.999,249700.0,-103.946,49544.957,-103.946,127900.0
+ISIS_iSPA_3U_BMSP.stp,ISIS_iSPA_3U_BMSP.stp,Steel,365.628,46576.871,0.008,55492.134,312.965,100.861,-0.06,325.0,3.87,82.6,203300.0,494.885,2050.657,494.885,3421000.0,-24.145,2050.657,-24.145,3218000.0
+Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,-3.751,22.8,-39.0,84.0,11.0,11.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282,0.0,0.0,0.0,29861.282
+Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,28.338,103.505,39.5,33.5,6.0,11.0,137.268,22.007,0.0,22.007,1263.292,0.0,0.0,0.0,1185.612
+Fuel,Fuel,Steel,505.292,64368.346,0.008,9976.414,69.496,-22.141,0.059,40.0,41.0,41.0,135200.0,30.406,15.534,30.406,134900.0,1.738,15.534,1.738,134900.0
+OBC,OBC,Steel,365.638,46578.15,0.008,74736.144,98.16,-28.68,-29.853,92.0,96.0,23.241,287600.0,-13194.264,-3855.954,-13194.264,194500.0,-14045.494,-3855.954,-14045.494,469900.0
+ISIS_ISPA_1U_SIDE.stp,ISIS_ISPA_1U_SIDE.stp,Steel,108.079,13768.029,0.008,19215.837,-101.414,102.908,0.712,98.0,4.95,82.6,71947.322,-290.86,-1871.371,-290.86,168900.0,36.897,-1871.371,36.897,97174.771
+central_frame,central_frame,SOLIDWORKS,0.0,12245.003,0.0,18268.074,0.0,0.0,0.0,51.213,89.465,51.213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-0.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+ceveau,ceveau,Steel,249.853,31828.4,0.008,7087.864,-21.892,17.689,-0.266,44.6,20.0,51.5,43596.745,-0.734,-579.509,-0.734,66601.457,-0.354,-579.509,-0.354,39407.793
+capture_system_assembly,capture_system_assembly,SOLIDWORKS,317.415,56671.244,0.006,46801.002,-17.201,29.311,-0.167,71.513,92.311,51.857,239100.0,-63330.79,-1142.274,-63330.79,113400.0,-547.098,-1142.274,-547.098,272900.0
+projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,-12.192,62.501,-12.192,10.037,10.736,10.037,6.898,0.237,-0.964,0.237,10.173,0.237,-0.964,0.237,6.898
diff --git a/orbital-debris-research/directed-study/report-1/parser/Cargo.toml b/orbital-debris-research/directed-study/report-1/parser/Cargo.toml
new file mode 100644
index 000000000..cb56b6d72
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parser/Cargo.toml
@@ -0,0 +1,11 @@
+[package]
+name = "parser"
+version = "0.1.0"
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[dependencies]
+scan_fmt = "0.2.6"
+csv = "1.1.6"
+serde = { version = "1.0", features = ["derive"] }
\ No newline at end of file
diff --git a/orbital-debris-research/directed-study/report-1/parser/src/main.rs b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
new file mode 100644
index 000000000..dd3fb00eb
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
@@ -0,0 +1,120 @@
+#![allow(non_snake_case)]
+use std::{
+    ascii::AsciiExt,
+    fs,
+    io::{BufRead, Write},
+};
+#[macro_use]
+extern crate scan_fmt;
+use csv::Writer;
+use serde::Serialize;
+
+#[derive(Serialize)]
+struct Properties {
+    part_number: String,
+    part_name: String,
+    material_name: String,
+    mass: f64,
+    volume: f64,
+    density: f64,
+    area: f64,
+    cmX: f64,
+    cmY: f64,
+    cmZ: f64,
+    bb_length: f64,
+    bb_width: f64,
+    bb_height: f64,
+    Ixx: f64,
+    Ixy: f64,
+    Ixz: f64,
+    Iyx: f64,
+    Iyy: f64,
+    Iyz: f64,
+    Izx: f64,
+    Izy: f64,
+    Izz: f64,
+}
+
+fn main() {
+    let mut wtr = Writer::from_writer(vec![]);
+
+    for fpath in fs::read_dir("../parts").unwrap() {
+        let infile = fs::read_to_string(fpath.unwrap().path())
+            .expect("Cannot read file.")
+            .split('\n')
+            .map(|l| l.to_owned())
+            .collect::<Vec<String>>();
+
+        wtr.serialize(parse_props(infile)).unwrap();
+    }
+
+    let data = String::from_utf8(wtr.into_inner().unwrap()).unwrap();
+
+    println!("{}", data);
+
+    let mut outfile = fs::File::create("../compiled.csv").unwrap();
+
+    outfile.write(data.as_bytes()).unwrap();
+}
+
+fn parse_props(infile: Vec<String>) -> Properties {
+    let part_number = scan_fmt!(&infile[1], "Part Number {}", String).unwrap();
+    let part_name = scan_fmt!(&infile[2], "Part Name {}", String).unwrap();
+    let material_name = scan_fmt!(&infile[4], "Material Name	{}", String).unwrap();
+
+    let mass = scan_fmt!(&infile[14], "Mass	{} g", f64).unwrap();
+    let volume = scan_fmt!(&infile[15], "Volume	{} mm^3", f64).unwrap();
+    let density = scan_fmt!(&infile[16], "Density {} g / mm^3", f64).unwrap();
+    let area = scan_fmt!(&infile[17], "Area	{} mm^2", f64).unwrap();
+
+    // Center of Mass
+    let (cmX, cmY, cmZ) = scan_fmt!(
+        &infile[19],
+        "Center of Mass	{} mm, {} mm, {} mm",
+        f64,
+        f64,
+        f64
+    )
+    .unwrap();
+
+    // Bounding Box
+    let bb_length = scan_fmt!(&infile[21], "Length {}", f64).unwrap();
+    let bb_width = scan_fmt!(&infile[22], "Width {}", f64).unwrap();
+    let bb_height = scan_fmt!(&infile[23], "Height {}", f64).unwrap();
+
+    // Moments of Inertia at Center of Mass
+    let Ixx = scan_fmt!(&infile[25], "Ixx {}", f64).unwrap();
+    let Ixy = scan_fmt!(&infile[26], "Ixy {}", f64).unwrap();
+    let Ixz = scan_fmt!(&infile[27], "Ixz {}", f64).unwrap();
+    let Iyx = scan_fmt!(&infile[28], "Iyx {}", f64).unwrap();
+    let Iyy = scan_fmt!(&infile[29], "Iyy {}", f64).unwrap();
+    let Iyz = scan_fmt!(&infile[30], "Iyz {}", f64).unwrap();
+    let Izx = scan_fmt!(&infile[31], "Izx {}", f64).unwrap();
+    let Izy = scan_fmt!(&infile[32], "Izy {}", f64).unwrap();
+    let Izz = scan_fmt!(&infile[33], "Izz {}", f64).unwrap();
+
+    return Properties {
+        part_number,
+        part_name,
+        material_name,
+        mass,
+        volume,
+        density,
+        area,
+        cmX,
+        cmY,
+        cmZ,
+        bb_length,
+        bb_width,
+        bb_height,
+        Ixx,
+        Ixy,
+        Ixz,
+        Iyx,
+        Iyy,
+        Iyz,
+        Izx,
+        Izy,
+        Izz,
+    };
+}
diff --git a/orbital-debris-research/directed-study/report-1/parts/10501.txt b/orbital-debris-research/directed-study/report-1/parts/10501.txt
new file mode 100644
index 000000000..c53b803a9
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/10501.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	camera_mount
+	Part Name	camera_mount
+	Description
+	Material Name	SOLIDWORKS Materials|ABS PC
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	1.066 g
+	Volume	995.90 mm^3
+	Density	0.001 g / mm^3
+	Area	2069.301 mm^2
+	World X,Y,Z	15.107 mm, 80.089 mm, 0.00 mm
+	Center of Mass	26.077 mm, 77.19 mm, 3.791E-06 mm
+	Bounding Box
+		Length	15.00 mm
+		Width	29.904 mm
+		Height	16.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	106.388
+		Ixy	14.146
+		Ixz	4.366E-05
+		Iyx	14.146
+		Iyy	50.609
+		Iyz	-2.246E-05
+		Izx	4.366E-05
+		Izy	-2.246E-05
+		Izz	96.709
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	6455.675
+		Ixy	-2130.848
+		Ixz	-6.169E-05
+		Iyx	-2130.848
+		Iyy	775.257
+		Iyz	0.00
+		Izx	-6.169E-05
+		Izy	0.00
+		Izz	7170.644
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/11951.txt b/orbital-debris-research/directed-study/report-1/parts/11951.txt
new file mode 100644
index 000000000..e63f7f57e
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/11951.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_ISPA_1U_SIDE.stp
+	Part Name	ISIS_ISPA_1U_SIDE.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	108.079 g
+	Volume	13768.029 mm^3
+	Density	0.008 g / mm^3
+	Area	19215.837 mm^2
+	World X,Y,Z	149.00 mm, 103.80 mm, 41.30 mm
+	Center of Mass	101.414 mm, 102.908 mm, -0.712 mm
+	Bounding Box
+		Length	98.00 mm
+		Width	4.95 mm
+		Height	82.60 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	71947.322
+		Ixy	290.86
+		Ixz	-1871.371
+		Iyx	290.86
+		Iyy	1.689E+05
+		Iyz	-36.897
+		Izx	-1871.371
+		Izy	-36.897
+		Izz	97174.771
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.217E+06
+		Ixy	-1.128E+06
+		Ixz	5927.742
+		Iyx	-1.128E+06
+		Iyy	1.281E+06
+		Iyz	7877.109
+		Izx	5927.742
+		Izy	7877.109
+		Izz	2.353E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/12018.txt b/orbital-debris-research/directed-study/report-1/parts/12018.txt
new file mode 100644
index 000000000..2297f2c7a
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/12018.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Transceiver
+	Part Name	Transceiver
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	433.406 g
+	Volume	55210.971 mm^3
+	Density	0.008 g / mm^3
+	Area	57969.555 mm^2
+	World X,Y,Z	54.00 mm, -92.50 mm, 37.50 mm
+	Center of Mass	98.357 mm, -33.327 mm, 34.57 mm
+	Bounding Box
+		Length	94.305 mm
+		Width	96.00 mm
+		Height	23.241 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	3.491E+05
+		Ixy	-21151.644
+		Ixz	452.774
+		Iyx	-21151.644
+		Iyy	2.094E+05
+		Iyz	-11695.911
+		Izx	452.774
+		Izy	-11695.911
+		Izz	5.486E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.348E+06
+		Ixy	1.400E+06
+		Ixz	-1.473E+06
+		Iyx	1.400E+06
+		Iyy	4.920E+06
+		Iyz	4.876E+05
+		Izx	-1.473E+06
+		Izy	4.876E+05
+		Izz	5.223E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/14254.txt b/orbital-debris-research/directed-study/report-1/parts/14254.txt
new file mode 100644
index 000000000..580359dca
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/14254.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	projectile
+	Part Name	projectile
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	0.847 g
+	Volume	108.651 mm^3
+	Density	0.008 g / mm^3
+	Area	274.826 mm^2
+	World X,Y,Z	12.50 mm, 60.07 mm, 12.50 mm
+	Center of Mass	12.192 mm, 62.501 mm, 12.192 mm
+	Bounding Box
+		Length	10.037 mm
+		Width	10.736 mm
+		Height	10.037 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6.898
+		Ixy	-0.237
+		Ixz	-0.964
+		Iyx	-0.237
+		Iyy	10.173
+		Iyz	-0.237
+		Izx	-0.964
+		Izy	-0.237
+		Izz	6.898
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3443.451
+		Ixy	-646.026
+		Ixz	-126.936
+		Iyx	-646.026
+		Iyy	262.119
+		Iyz	-646.026
+		Izx	-126.936
+		Izy	-646.026
+		Izz	3443.451
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/14404.txt b/orbital-debris-research/directed-study/report-1/parts/14404.txt
new file mode 100644
index 000000000..027f06d72
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/14404.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	100.00 mm, 101.50 mm, 155.75 mm
+	Center of Mass	100.085 mm, 100.856 mm, 156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	25.432
+		Ixz	-1129.026
+		Iyx	25.432
+		Iyy	1.013E+06
+		Iyz	263.002
+		Izx	-1129.026
+		Izy	263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	-2.407E+06
+		Ixz	-3.727E+06
+		Iyx	-2.407E+06
+		Iyy	9.211E+06
+		Iyz	-3.754E+06
+		Izx	-3.727E+06
+		Izy	-3.754E+06
+		Izz	4.947E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/14426.txt b/orbital-debris-research/directed-study/report-1/parts/14426.txt
new file mode 100644
index 000000000..d4d0ae125
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/14426.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	50.00 mm, -6.50 mm, -53.00 mm
+	Center of Mass	50.00 mm, -6.838 mm, -53.505 mm
+	Bounding Box
+		Length	11.00 mm
+		Width	33.50 mm
+		Height	6.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1185.612
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	137.268
+		Iyz	22.007
+		Izx	0.00
+		Izy	22.007
+		Izz	1263.292
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	34173.049
+		Ixy	3876.27
+		Ixz	30331.342
+		Iyx	3876.27
+		Iyy	60939.207
+		Iyz	-4125.96
+		Izx	30331.342
+		Izy	-4125.96
+		Izz	30137.994
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/21503.txt b/orbital-debris-research/directed-study/report-1/parts/21503.txt
new file mode 100644
index 000000000..84b6c4ec2
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/21503.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	EPS
+	Part Name	EPS
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	2445.66 g
+	Volume	3.115E+05 mm^3
+	Density	0.008 g / mm^3
+	Area	81469.345 mm^2
+	World X,Y,Z	97.50 mm, 97.50 mm, 0.00 mm
+	Center of Mass	97.50 mm, 77.673 mm, 0.00 mm
+	Bounding Box
+		Length	96.00 mm
+		Width	57.00 mm
+		Height	90.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	2.111E+06
+		Ixy	5.684E-09
+		Ixz	8.708E-09
+		Iyx	5.684E-09
+		Iyy	3.554E+06
+		Iyz	-2.275E-07
+		Izx	8.708E-09
+		Izy	-2.275E-07
+		Izz	2.351E+06
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.687E+07
+		Ixy	-1.852E+07
+		Ixz	5.491E-06
+		Iyx	-1.852E+07
+		Iyy	2.680E+07
+		Iyz	4.140E-06
+		Izx	5.491E-06
+		Izy	4.140E-06
+		Izz	4.035E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/25887.txt b/orbital-debris-research/directed-study/report-1/parts/25887.txt
new file mode 100644
index 000000000..89f2584ae
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/25887.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	50.00 mm, -6.50 mm, 53.00 mm
+	Center of Mass	50.00 mm, -6.838 mm, 53.505 mm
+	Bounding Box
+		Length	11.00 mm
+		Width	33.50 mm
+		Height	6.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1185.612
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	137.268
+		Iyz	-22.007
+		Izx	0.00
+		Izy	-22.007
+		Izz	1263.292
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	34173.049
+		Ixy	3876.27
+		Ixz	-30331.342
+		Iyx	3876.27
+		Iyy	60939.207
+		Iyz	4125.96
+		Izx	-30331.342
+		Izy	4125.96
+		Izz	30137.994
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/28935.txt b/orbital-debris-research/directed-study/report-1/parts/28935.txt
new file mode 100644
index 000000000..24ac02e38
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/28935.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Reaction Wheel
+	Part Name	Reaction Wheel
+	Description
+	Material Name	SOLIDWORKS Materials|6061-T6 (SS)
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	51.926 g
+	Volume	19232.035 mm^3
+	Density	0.003 g / mm^3
+	Area	5129.026 mm^2
+	World X,Y,Z	-47.00 mm, 20.00 mm, 47.50 mm
+	Center of Mass	-47.00 mm, 20.00 mm, 36.626 mm
+	Bounding Box
+		Length	33.00 mm
+		Width	33.00 mm
+		Height	38.40 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6948.003
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	6948.003
+		Iyz	1.907E-07
+		Izx	0.00
+		Izy	1.907E-07
+		Izz	8030.751
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	97377.272
+		Ixy	48810.905
+		Ixz	89388.151
+		Iyx	48810.905
+		Iyy	1.913E+05
+		Iyz	-38037.511
+		Izx	89388.151
+		Izy	-38037.511
+		Izz	1.435E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/33934.txt b/orbital-debris-research/directed-study/report-1/parts/33934.txt
new file mode 100644
index 000000000..34a8fc4f0
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/33934.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	94125K112_COMPRESSION SPRINGS
+	Part Name	94125K112_COMPRESSION SPRINGS
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	3.615 g
+	Volume	460.535 mm^3
+	Density	0.008 g / mm^3
+	Area	1181.069 mm^2
+	World X,Y,Z	0.00 mm, 52.689 mm, 0.00 mm
+	Center of Mass	0.002 mm, 40.69 mm, 0.115 mm
+	Bounding Box
+		Length	14.263 mm
+		Width	27.202 mm
+		Height	14.263 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	297.902
+		Ixy	-8.916
+		Ixz	0.008
+		Iyx	-8.916
+		Iyy	142.892
+		Iyz	0.006
+		Izx	0.008
+		Izy	0.006
+		Izz	298.189
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	6283.478
+		Ixy	-9.164
+		Ixz	0.007
+		Iyx	-9.164
+		Iyy	142.94
+		Iyz	-16.969
+		Izx	0.007
+		Izy	-16.969
+		Izz	6283.717
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/34210.txt b/orbital-debris-research/directed-study/report-1/parts/34210.txt
new file mode 100644
index 000000000..aae6436f9
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/34210.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Reaction Wheel
+	Part Name	Reaction Wheel
+	Description
+	Material Name	SOLIDWORKS Materials|6061-T6 (SS)
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	51.926 g
+	Volume	19232.035 mm^3
+	Density	0.003 g / mm^3
+	Area	5129.026 mm^2
+	World X,Y,Z	-55.00 mm, -2.20 mm, 0.00 mm
+	Center of Mass	-55.00 mm, 8.674 mm, 3.510E-10 mm
+	Bounding Box
+		Length	33.00 mm
+		Width	38.40 mm
+		Height	33.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6948.003
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	8030.751
+		Iyz	-1.907E-07
+		Izx	0.00
+		Izy	-1.907E-07
+		Izz	6948.003
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	10854.589
+		Ixy	24771.706
+		Ixz	1.002E-06
+		Iyx	24771.706
+		Iyy	1.651E+05
+		Iyz	-3.488E-07
+		Izx	1.002E-06
+		Izy	-3.488E-07
+		Izz	1.679E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/36877.txt b/orbital-debris-research/directed-study/report-1/parts/36877.txt
new file mode 100644
index 000000000..96f396953
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/36877.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	0.00 mm, 101.50 mm, 155.75 mm
+	Center of Mass	0.085 mm, 100.856 mm, 156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	25.432
+		Ixz	-1129.026
+		Iyx	25.432
+		Iyy	1.013E+06
+		Iyz	263.002
+		Izx	-1129.026
+		Izy	263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	-2029.53
+		Ixz	-4309.125
+		Iyx	-2029.53
+		Iyy	6.822E+06
+		Iyz	-3.754E+06
+		Izx	-4309.125
+		Izy	-3.754E+06
+		Izz	2.558E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/38655.txt b/orbital-debris-research/directed-study/report-1/parts/38655.txt
new file mode 100644
index 000000000..1ca762fb5
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/38655.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Star Tracker
+	Part Name	Star Tracker
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	1630.538 g
+	Volume	2.077E+05 mm^3
+	Density	0.008 g / mm^3
+	Area	22393.539 mm^2
+	World X,Y,Z	-100.00 mm, -47.00 mm, 0.00 mm
+	Center of Mass	-99.709 mm, -46.985 mm, -0.002 mm
+	Bounding Box
+		Length	95.00 mm
+		Width	50.00 mm
+		Height	44.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6.042E+05
+		Ixy	1141.64
+		Ixz	-180.799
+		Iyx	1141.64
+		Iyy	1.475E+06
+		Iyz	90.57
+		Izx	-180.799
+		Izy	90.57
+		Izz	1.552E+06
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	4.204E+06
+		Ixy	-7.638E+06
+		Ixz	-575.287
+		Iyx	-7.638E+06
+		Iyy	1.769E+07
+		Iyz	-95.323
+		Izx	-575.287
+		Izy	-95.323
+		Izz	2.136E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/40108.txt b/orbital-debris-research/directed-study/report-1/parts/40108.txt
new file mode 100644
index 000000000..b280addf8
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/40108.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	NANO R3 IFMP1 13.08.2020.step
+	Part Name	NANO R3 IFMP1 13.08.2020.step
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	7148.863 g
+	Volume	9.107E+05 mm^3
+	Density	0.008 g / mm^3
+	Area	62516.961 mm^2
+	World X,Y,Z	0.00 mm, -96.00 mm, 0.00 mm
+	Center of Mass	0.196 mm, -50.181 mm, 0.007 mm
+	Bounding Box
+		Length	99.00 mm
+		Width	98.50 mm
+		Height	101.942 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1.102E+07
+		Ixy	-44155.286
+		Ixz	9346.828
+		Iyx	-44155.286
+		Iyy	1.134E+07
+		Iyz	-1856.989
+		Izx	9346.828
+		Izy	-1856.989
+		Izz	1.107E+07
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	2.902E+07
+		Ixy	26046.304
+		Ixz	9337.292
+		Iyx	26046.304
+		Iyy	1.134E+07
+		Iyz	588.312
+		Izx	9337.292
+		Izy	588.312
+		Izz	2.908E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/41617.txt b/orbital-debris-research/directed-study/report-1/parts/41617.txt
new file mode 100644
index 000000000..14155d9dc
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/41617.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	6U Half
+	Part Name	6U Half
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	141.036 g
+	Volume	17966.31 mm^3
+	Density	0.008 g / mm^3
+	Area	33980.334 mm^2
+	World X,Y,Z	40.00 mm, -96.33 mm, -77.30 mm
+	Center of Mass	114.874 mm, -107.204 mm, 15.729 mm
+	Bounding Box
+		Length	283.00 mm
+		Width	10.74 mm
+		Height	283.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1.233E+05
+		Ixy	594.999
+		Ixz	49544.957
+		Iyx	594.999
+		Iyy	2.497E+05
+		Iyz	103.946
+		Izx	49544.957
+		Izy	103.946
+		Izz	1.279E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.779E+06
+		Ixy	1.737E+06
+		Ixz	-2.053E+05
+		Iyx	1.737E+06
+		Iyy	2.146E+06
+		Iyz	2.379E+05
+		Izx	-2.053E+05
+		Izy	2.379E+05
+		Izz	3.610E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/43055.txt b/orbital-debris-research/directed-study/report-1/parts/43055.txt
new file mode 100644
index 000000000..33521b9af
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/43055.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Runcam Racer Nano.step
+	Part Name	Runcam Racer Nano.step
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	12.203 g
+	Volume	1554.512 mm^3
+	Density	0.008 g / mm^3
+	Area	2351.908 mm^2
+	World X,Y,Z	22.107 mm, 87.389 mm, 0.00 mm
+	Center of Mass	22.024 mm, 89.222 mm, -0.048 mm
+	Bounding Box
+		Length	14.00 mm
+		Width	14.90 mm
+		Height	14.078 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	423.832
+		Ixy	-5.80
+		Ixz	3.527
+		Iyx	-5.80
+		Iyy	347.356
+		Iyz	-3.41
+		Izx	3.527
+		Izy	-3.41
+		Izz	419.172
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	97565.574
+		Ixy	-23984.324
+		Ixz	16.379
+		Iyx	-23984.324
+		Iyy	6266.259
+		Iyz	48.655
+		Izx	16.379
+		Izy	48.655
+		Izz	1.035E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/44337.txt b/orbital-debris-research/directed-study/report-1/parts/44337.txt
new file mode 100644
index 000000000..1e1599ba0
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/44337.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Runcam Racer Nano.step
+	Part Name	Runcam Racer Nano.step
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	12.203 g
+	Volume	1554.512 mm^3
+	Density	0.008 g / mm^3
+	Area	2351.908 mm^2
+	World X,Y,Z	-22.107 mm, 87.389 mm, 0.00 mm
+	Center of Mass	-22.19 mm, 89.222 mm, -0.048 mm
+	Bounding Box
+		Length	14.00 mm
+		Width	14.90 mm
+		Height	14.078 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	423.832
+		Ixy	-5.80
+		Ixz	3.527
+		Iyx	-5.80
+		Iyy	347.356
+		Iyz	-3.41
+		Izx	3.527
+		Izy	-3.41
+		Izz	419.172
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	97565.574
+		Ixy	24153.535
+		Ixz	-9.421
+		Iyx	24153.535
+		Iyy	6355.859
+		Iyz	48.655
+		Izx	-9.421
+		Izy	48.655
+		Izz	1.036E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/46296.txt b/orbital-debris-research/directed-study/report-1/parts/46296.txt
new file mode 100644
index 000000000..2adb9c414
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/46296.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sat Chasis 2x3
+	Part Name	Sat Chasis 2x3
+	Description
+	Material Name	SOLIDWORKS Materials|6061-T6 (SS)
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	907.378 g
+	Volume	3.361E+05 mm^3
+	Density	0.003 g / mm^3
+	Area	3.098E+05 mm^2
+	World X,Y,Z	0.00 mm, 0.00 mm, 0.00 mm
+	Center of Mass	-0.183 mm, 9.787 mm, 0.00 mm
+	Bounding Box
+		Length	300.00 mm
+		Width	200.00 mm
+		Height	100.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	5.943E+06
+		Ixy	-9889.642
+		Ixz	2.304E-07
+		Iyx	-9889.642
+		Iyy	9.867E+06
+		Iyz	4.898E-08
+		Izx	2.304E-07
+		Izy	4.898E-08
+		Izz	1.276E+07
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	6.029E+06
+		Ixy	-8264.301
+		Ixz	2.298E-07
+		Iyx	-8264.301
+		Iyy	9.867E+06
+		Iyz	7.956E-08
+		Izx	2.298E-07
+		Izy	7.956E-08
+		Izz	1.285E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/48239.txt b/orbital-debris-research/directed-study/report-1/parts/48239.txt
new file mode 100644
index 000000000..27a907f34
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/48239.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	-100.00 mm, 101.50 mm, 155.75 mm
+	Center of Mass	-99.915 mm, 100.856 mm, 156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	25.432
+		Ixz	-1129.026
+		Iyx	25.432
+		Iyy	1.013E+06
+		Iyz	263.002
+		Izx	-1129.026
+		Izy	263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	2.403E+06
+		Ixz	3.718E+06
+		Iyx	2.403E+06
+		Iyy	9.203E+06
+		Iyz	-3.754E+06
+		Izx	3.718E+06
+		Izy	-3.754E+06
+		Izz	4.939E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/49117.txt b/orbital-debris-research/directed-study/report-1/parts/49117.txt
new file mode 100644
index 000000000..44367a17b
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/49117.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_3U_BMSP.stp
+	Part Name	ISIS_iSPA_3U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	365.628 g
+	Volume	46576.871 mm^3
+	Density	0.008 g / mm^3
+	Area	55492.134 mm^2
+	World X,Y,Z	-312.50 mm, 101.50 mm, 0.00 mm
+	Center of Mass	-312.965 mm, 100.861 mm, 0.06 mm
+	Bounding Box
+		Length	325.00 mm
+		Width	3.87 mm
+		Height	82.60 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	2.033E+05
+		Ixy	-494.885
+		Ixz	2050.657
+		Iyx	-494.885
+		Iyy	3.421E+06
+		Iyz	24.145
+		Izx	2050.657
+		Izy	24.145
+		Izz	3.218E+06
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3.923E+06
+		Ixy	1.154E+07
+		Ixz	8887.647
+		Iyx	1.154E+07
+		Iyy	3.923E+07
+		Iyz	-2179.263
+		Izx	8887.647
+		Izy	-2179.263
+		Izz	4.275E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/53268.txt b/orbital-debris-research/directed-study/report-1/parts/53268.txt
new file mode 100644
index 000000000..43187e035
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/53268.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Magnetorquer
+	Part Name	Magnetorquer
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	58.053 g
+	Volume	7395.244 mm^3
+	Density	0.008 g / mm^3
+	Area	2990.011 mm^2
+	World X,Y,Z	-34.50 mm, 46.827 mm, -26.00 mm
+	Center of Mass	-34.50 mm, 48.078 mm, -26.00 mm
+	Bounding Box
+		Length	11.00 mm
+		Width	84.00 mm
+		Height	11.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	29861.282
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	865.842
+		Iyz	-1.175E-06
+		Izx	0.00
+		Izy	-1.175E-06
+		Izz	29861.282
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	2.033E+05
+		Ixy	96290.559
+		Ixz	-52073.238
+		Iyx	96290.559
+		Iyy	1.092E+05
+		Iyz	72566.798
+		Izx	-52073.238
+		Izy	72566.798
+		Izz	2.331E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/53893.txt b/orbital-debris-research/directed-study/report-1/parts/53893.txt
new file mode 100644
index 000000000..3211437c7
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/53893.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Reaction Wheel
+	Part Name	Reaction Wheel
+	Description
+	Material Name	SOLIDWORKS Materials|6061-T6 (SS)
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	51.926 g
+	Volume	19232.035 mm^3
+	Density	0.003 g / mm^3
+	Area	5129.026 mm^2
+	World X,Y,Z	27.75 mm, 37.30 mm, 0.00 mm
+	Center of Mass	38.624 mm, 37.30 mm, 3.510E-10 mm
+	Bounding Box
+		Length	38.40 mm
+		Width	33.00 mm
+		Height	33.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8030.751
+		Ixy	0.00
+		Ixz	-1.907E-07
+		Iyx	0.00
+		Iyy	6948.003
+		Iyz	0.00
+		Izx	-1.907E-07
+		Izy	0.00
+		Izz	6948.003
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	80275.564
+		Ixy	-74808.625
+		Ixz	-8.947E-07
+		Iyx	-74808.625
+		Iyy	84411.425
+		Iyz	-6.799E-07
+		Izx	-8.947E-07
+		Izy	-6.799E-07
+		Izz	1.567E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/55606.txt b/orbital-debris-research/directed-study/report-1/parts/55606.txt
new file mode 100644
index 000000000..62ab69a2f
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/55606.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	piece de liaison Longue MG996r
+	Part Name	piece de liaison Longue MG996r
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	4.211 g
+	Volume	536.42 mm^3
+	Density	0.008 g / mm^3
+	Area	874.34 mm^2
+	World X,Y,Z	2.193 mm, 17.689 mm, 9.75 mm
+	Center of Mass	2.808 mm, 17.795 mm, 3.382 mm
+	Bounding Box
+		Length	5.30 mm
+		Width	11.75 mm
+		Height	29.872 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	293.908
+		Ixy	-0.239
+		Ixz	14.364
+		Iyx	-0.239
+		Iyy	271.745
+		Iyz	3.944
+		Izx	14.364
+		Izy	3.944
+		Izz	34.92
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1675.532
+		Ixy	-210.629
+		Ixz	-25.626
+		Iyx	-210.629
+		Iyy	353.115
+		Iyz	-249.51
+		Izx	-25.626
+		Izy	-249.51
+		Izz	1401.564
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/62596.txt b/orbital-debris-research/directed-study/report-1/parts/62596.txt
new file mode 100644
index 000000000..68e236c81
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/62596.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Control Unit
+	Part Name	Control Unit
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	133.418 g
+	Volume	16995.941 mm^3
+	Density	0.008 g / mm^3
+	Area	30952.471 mm^2
+	World X,Y,Z	-100.00 mm, -41.50 mm, -47.50 mm
+	Center of Mass	-99.965 mm, -66.081 mm, -39.009 mm
+	Bounding Box
+		Length	66.00 mm
+		Width	57.65 mm
+		Height	19.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	37456.154
+		Ixy	-3.29
+		Ixz	1.794
+		Iyx	-3.29
+		Iyy	43890.031
+		Iyz	450.15
+		Izx	1.794
+		Izy	450.15
+		Izz	69728.676
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	8.231E+05
+		Ixy	-8.813E+05
+		Ixz	-5.203E+05
+		Iyx	-8.813E+05
+		Iyy	1.580E+06
+		Iyz	-3.435E+05
+		Izx	-5.203E+05
+		Izy	-3.435E+05
+		Izz	1.986E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/63165.txt b/orbital-debris-research/directed-study/report-1/parts/63165.txt
new file mode 100644
index 000000000..a6822064b
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/63165.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	camera_mount
+	Part Name	camera_mount
+	Description
+	Material Name	SOLIDWORKS Materials|ABS PC
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	1.066 g
+	Volume	995.90 mm^3
+	Density	0.001 g / mm^3
+	Area	2069.301 mm^2
+	World X,Y,Z	-15.107 mm, 80.089 mm, 0.00 mm
+	Center of Mass	-26.077 mm, 77.19 mm, -3.791E-06 mm
+	Bounding Box
+		Length	15.00 mm
+		Width	29.904 mm
+		Height	16.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	106.388
+		Ixy	-14.146
+		Ixz	4.366E-05
+		Iyx	-14.146
+		Iyy	50.609
+		Iyz	2.246E-05
+		Izx	4.366E-05
+		Izy	2.246E-05
+		Izz	96.709
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	6455.675
+		Ixy	2130.848
+		Ixz	-6.169E-05
+		Iyx	2130.848
+		Iyy	775.257
+		Iyz	0.00
+		Izx	-6.169E-05
+		Izy	0.00
+		Izz	7170.644
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/63167.txt b/orbital-debris-research/directed-study/report-1/parts/63167.txt
new file mode 100644
index 000000000..4eaf927a1
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/63167.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	hopper
+	Part Name	hopper
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	20.543 g
+	Volume	2633.756 mm^3
+	Density	0.008 g / mm^3
+	Area	6078.184 mm^2
+	World X,Y,Z	0.00 mm, 49.689 mm, 0.00 mm
+	Center of Mass	0.00 mm, 78.286 mm, -1.095E-09 mm
+	Bounding Box
+		Length	24.00 mm
+		Width	50.311 mm
+		Height	44.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6116.051
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	2739.986
+		Iyz	-9.539E-08
+		Izx	0.00
+		Izy	-9.539E-08
+		Izz	5261.763
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.320E+05
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	2739.986
+		Iyz	1.666E-06
+		Izx	0.00
+		Izy	1.666E-06
+		Izz	1.312E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/65245.txt b/orbital-debris-research/directed-study/report-1/parts/65245.txt
new file mode 100644
index 000000000..0eb4af8c4
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/65245.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	100.00 mm, 101.50 mm, -155.75 mm
+	Center of Mass	99.915 mm, 100.856 mm, -156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	-25.432
+		Ixz	-1129.026
+		Iyx	-25.432
+		Iyy	1.013E+06
+		Iyz	-263.002
+		Izx	-1129.026
+		Izy	-263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	-2.403E+06
+		Ixz	3.718E+06
+		Iyx	-2.403E+06
+		Iyy	9.203E+06
+		Iyz	3.754E+06
+		Izx	3.718E+06
+		Izy	3.754E+06
+		Izz	4.939E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/67242.txt b/orbital-debris-research/directed-study/report-1/parts/67242.txt
new file mode 100644
index 000000000..d723a90a0
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/67242.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	-153.00 mm, -16.50 mm, -44.50 mm
+	Center of Mass	-153.505 mm, -16.838 mm, -44.50 mm
+	Bounding Box
+		Length	6.00 mm
+		Width	33.50 mm
+		Height	11.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1263.292
+		Ixy	22.007
+		Ixz	0.00
+		Iyx	22.007
+		Iyy	137.268
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	1185.612
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	26929.443
+		Ixy	-29282.609
+		Ixz	-77448.285
+		Iyx	-29282.609
+		Iyy	2.898E+05
+		Iyz	-8495.219
+		Izx	-77448.285
+		Izy	-8495.219
+		Izz	2.716E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/68796.txt b/orbital-debris-research/directed-study/report-1/parts/68796.txt
new file mode 100644
index 000000000..60601bad9
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/68796.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	-51.50 mm, -103.00 mm, -2.00 mm
+	Center of Mass	-51.50 mm, -103.505 mm, -1.662 mm
+	Bounding Box
+		Length	11.00 mm
+		Width	6.00 mm
+		Height	33.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1185.612
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	1263.292
+		Iyz	-22.007
+		Izx	0.00
+		Izy	-22.007
+		Izz	137.268
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.227E+05
+		Ixy	-60436.221
+		Ixz	-970.582
+		Iyx	-60436.221
+		Iyy	31365.407
+		Iyz	-1972.68
+		Izx	-970.582
+		Izy	-1972.68
+		Izz	1.517E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/70067.txt b/orbital-debris-research/directed-study/report-1/parts/70067.txt
new file mode 100644
index 000000000..bca1e73ae
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/70067.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	153.00 mm, 18.00 mm, 44.50 mm
+	Center of Mass	153.505 mm, 18.338 mm, 44.50 mm
+	Bounding Box
+		Length	6.00 mm
+		Width	33.50 mm
+		Height	11.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1263.292
+		Ixy	22.007
+		Ixz	0.00
+		Iyx	22.007
+		Iyy	137.268
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	1185.612
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	27527.664
+		Ixy	-31893.225
+		Ixz	-77448.285
+		Iyx	-31893.225
+		Iyy	2.898E+05
+		Iyz	-9252.02
+		Izx	-77448.285
+		Izy	-9252.02
+		Izz	2.722E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/71882.txt b/orbital-debris-research/directed-study/report-1/parts/71882.txt
new file mode 100644
index 000000000..8c4b0fe5a
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/71882.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	projectile
+	Part Name	projectile
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	0.847 g
+	Volume	108.651 mm^3
+	Density	0.008 g / mm^3
+	Area	274.826 mm^2
+	World X,Y,Z	12.50 mm, 60.07 mm, -12.50 mm
+	Center of Mass	12.192 mm, 62.501 mm, -12.192 mm
+	Bounding Box
+		Length	10.037 mm
+		Width	10.736 mm
+		Height	10.037 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6.898
+		Ixy	-0.237
+		Ixz	0.964
+		Iyx	-0.237
+		Iyy	10.173
+		Iyz	0.237
+		Izx	0.964
+		Izy	0.237
+		Izz	6.898
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3443.451
+		Ixy	-646.026
+		Ixz	126.936
+		Iyx	-646.026
+		Iyy	262.119
+		Iyz	646.026
+		Izx	126.936
+		Izy	646.026
+		Izz	3443.451
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/73699.txt b/orbital-debris-research/directed-study/report-1/parts/73699.txt
new file mode 100644
index 000000000..447b292b6
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/73699.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	GPS Patch Antenna
+	Part Name	GPS Patch Antenna
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	46.103 g
+	Volume	5872.947 mm^3
+	Density	0.008 g / mm^3
+	Area	13143.977 mm^2
+	World X,Y,Z	48.501 mm, 47.504 mm, 41.50 mm
+	Center of Mass	-100.011 mm, -59.558 mm, 40.874 mm
+	Bounding Box
+		Length	70.00 mm
+		Width	70.00 mm
+		Height	9.69 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	7391.782
+		Ixy	-0.489
+		Ixz	0.13
+		Iyx	-0.489
+		Iyy	6207.598
+		Iyz	206.025
+		Izx	0.13
+		Izy	206.025
+		Izz	13248.414
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	2.480E+05
+		Ixy	-2.746E+05
+		Ixz	1.885E+05
+		Iyx	-2.746E+05
+		Iyy	5.444E+05
+		Iyz	1.124E+05
+		Izx	1.885E+05
+		Izy	1.124E+05
+		Izz	6.379E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/74919.txt b/orbital-debris-research/directed-study/report-1/parts/74919.txt
new file mode 100644
index 000000000..eea6cd69e
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/74919.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	-100.00 mm, 101.50 mm, -155.75 mm
+	Center of Mass	-100.085 mm, 100.856 mm, -156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	-25.432
+		Ixz	-1129.026
+		Iyx	-25.432
+		Iyy	1.013E+06
+		Iyz	-263.002
+		Izx	-1129.026
+		Izy	-263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	2.407E+06
+		Ixz	-3.727E+06
+		Iyx	2.407E+06
+		Iyy	9.211E+06
+		Iyz	3.754E+06
+		Izx	-3.727E+06
+		Izy	3.754E+06
+		Izz	4.947E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/79606.txt b/orbital-debris-research/directed-study/report-1/parts/79606.txt
new file mode 100644
index 000000000..542c3f75b
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/79606.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Magnetorquer
+	Part Name	Magnetorquer
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	58.053 g
+	Volume	7395.244 mm^3
+	Density	0.008 g / mm^3
+	Area	2990.011 mm^2
+	World X,Y,Z	26.50 mm, 7.80 mm, -2.00 mm
+	Center of Mass	26.50 mm, 7.80 mm, -0.749 mm
+	Bounding Box
+		Length	11.00 mm
+		Width	11.00 mm
+		Height	84.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	29861.282
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	29861.282
+		Iyz	1.175E-06
+		Izx	0.00
+		Izy	1.175E-06
+		Izz	865.842
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	33425.814
+		Ixy	-11999.485
+		Ixz	1152.98
+		Iyx	-11999.485
+		Iyy	70661.373
+		Iyz	339.368
+		Izx	1152.98
+		Izy	339.368
+		Izz	45165.249
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/83777.txt b/orbital-debris-research/directed-study/report-1/parts/83777.txt
new file mode 100644
index 000000000..c0c51b57f
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/83777.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	projectile
+	Part Name	projectile
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	0.847 g
+	Volume	108.651 mm^3
+	Density	0.008 g / mm^3
+	Area	274.826 mm^2
+	World X,Y,Z	-12.50 mm, 60.07 mm, 12.50 mm
+	Center of Mass	-12.192 mm, 62.501 mm, 12.192 mm
+	Bounding Box
+		Length	10.037 mm
+		Width	10.736 mm
+		Height	10.037 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6.898
+		Ixy	0.237
+		Ixz	0.964
+		Iyx	0.237
+		Iyy	10.173
+		Iyz	-0.237
+		Izx	0.964
+		Izy	-0.237
+		Izz	6.898
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3443.451
+		Ixy	646.026
+		Ixz	126.936
+		Iyx	646.026
+		Iyy	262.119
+		Iyz	-646.026
+		Izx	126.936
+		Izy	-646.026
+		Izz	3443.451
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/84759.txt b/orbital-debris-research/directed-study/report-1/parts/84759.txt
new file mode 100644
index 000000000..73d585018
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/84759.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	spring_adaptor
+	Part Name	spring_adaptor
+	Description
+	Material Name	SOLIDWORKS Materials|1060 Alloy
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	9.266 g
+	Volume	3431.699 mm^3
+	Density	0.003 g / mm^3
+	Area	3369.751 mm^2
+	World X,Y,Z	0.00 mm, 52.689 mm, 0.00 mm
+	Center of Mass	0.00 mm, 53.939 mm, -2.648E-09 mm
+	Bounding Box
+		Length	45.00 mm
+		Width	2.50 mm
+		Height	45.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1253.994
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	2498.336
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	1253.994
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	28211.551
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	2498.336
+		Iyz	1.323E-06
+		Izx	0.00
+		Izy	1.323E-06
+		Izz	28211.551
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/85201.txt b/orbital-debris-research/directed-study/report-1/parts/85201.txt
new file mode 100644
index 000000000..30bf944b1
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/85201.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	6U Half
+	Part Name	6U Half
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	141.036 g
+	Volume	17966.31 mm^3
+	Density	0.008 g / mm^3
+	Area	33980.334 mm^2
+	World X,Y,Z	-40.00 mm, -96.33 mm, 77.30 mm
+	Center of Mass	-114.874 mm, -107.204 mm, -15.729 mm
+	Bounding Box
+		Length	283.00 mm
+		Width	10.74 mm
+		Height	283.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1.233E+05
+		Ixy	-594.999
+		Ixz	49544.957
+		Iyx	-594.999
+		Iyy	2.497E+05
+		Iyz	-103.946
+		Izx	49544.957
+		Izy	-103.946
+		Izz	1.279E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.779E+06
+		Ixy	-1.737E+06
+		Ixz	-2.053E+05
+		Iyx	-1.737E+06
+		Iyy	2.146E+06
+		Iyz	-2.379E+05
+		Izx	-2.053E+05
+		Izy	-2.379E+05
+		Izz	3.610E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/85946.txt b/orbital-debris-research/directed-study/report-1/parts/85946.txt
new file mode 100644
index 000000000..34f6c97d3
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/85946.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_3U_BMSP.stp
+	Part Name	ISIS_iSPA_3U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	365.628 g
+	Volume	46576.871 mm^3
+	Density	0.008 g / mm^3
+	Area	55492.134 mm^2
+	World X,Y,Z	312.50 mm, 101.50 mm, 0.00 mm
+	Center of Mass	312.965 mm, 100.861 mm, -0.06 mm
+	Bounding Box
+		Length	325.00 mm
+		Width	3.87 mm
+		Height	82.60 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	2.033E+05
+		Ixy	494.885
+		Ixz	2050.657
+		Iyx	494.885
+		Iyy	3.421E+06
+		Iyz	-24.145
+		Izx	2050.657
+		Izy	-24.145
+		Izz	3.218E+06
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3.923E+06
+		Ixy	-1.154E+07
+		Ixz	8887.647
+		Iyx	-1.154E+07
+		Iyy	3.923E+07
+		Iyz	2179.263
+		Izx	8887.647
+		Izy	2179.263
+		Izz	4.275E+07
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/86484.txt b/orbital-debris-research/directed-study/report-1/parts/86484.txt
new file mode 100644
index 000000000..5cc3700e5
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/86484.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Magnetorquer
+	Part Name	Magnetorquer
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	58.053 g
+	Volume	7395.244 mm^3
+	Density	0.008 g / mm^3
+	Area	2990.011 mm^2
+	World X,Y,Z	-2.50 mm, 22.80 mm, -39.00 mm
+	Center of Mass	-3.751 mm, 22.80 mm, -39.00 mm
+	Bounding Box
+		Length	84.00 mm
+		Width	11.00 mm
+		Height	11.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	865.842
+		Ixy	-1.175E-06
+		Ixz	0.00
+		Iyx	-1.175E-06
+		Iyy	29861.282
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	29861.282
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.193E+05
+		Ixy	4964.206
+		Ixz	-8491.404
+		Iyx	4964.206
+		Iyy	1.190E+05
+		Iyz	51620.428
+		Izx	-8491.404
+		Izy	51620.428
+		Izz	60855.975
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/88314.txt b/orbital-debris-research/directed-study/report-1/parts/88314.txt
new file mode 100644
index 000000000..b205ea28b
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/88314.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Sun Sensor
+	Part Name	Sun Sensor
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	11.338 g
+	Volume	1444.311 mm^3
+	Density	0.008 g / mm^3
+	Area	1210.691 mm^2
+	World X,Y,Z	28.00 mm, 103.00 mm, 39.50 mm
+	Center of Mass	28.338 mm, 103.505 mm, 39.50 mm
+	Bounding Box
+		Length	33.50 mm
+		Width	6.00 mm
+		Height	11.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	137.268
+		Ixy	22.007
+		Ixz	0.00
+		Iyx	22.007
+		Iyy	1263.292
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	1185.612
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.393E+05
+		Ixy	-33232.886
+		Ixz	-12690.914
+		Iyx	-33232.886
+		Iyy	28057.767
+		Iyz	-46353.995
+		Izx	-12690.914
+		Izy	-46353.995
+		Izz	1.318E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/90603.txt b/orbital-debris-research/directed-study/report-1/parts/90603.txt
new file mode 100644
index 000000000..283c35ff1
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/90603.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	Fuel Brick
+	Part Name	Fuel Brick
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	505.292 g
+	Volume	64368.346 mm^3
+	Density	0.008 g / mm^3
+	Area	9976.414 mm^2
+	World X,Y,Z	69.50 mm, -22.20 mm, 0.00 mm
+	Center of Mass	69.496 mm, -22.141 mm, 0.059 mm
+	Bounding Box
+		Length	40.00 mm
+		Width	41.00 mm
+		Height	41.00 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	1.352E+05
+		Ixy	30.406
+		Ixz	15.534
+		Iyx	30.406
+		Iyy	1.349E+05
+		Iyz	1.738
+		Izx	15.534
+		Izy	1.738
+		Izz	1.349E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3.829E+05
+		Ixy	7.775E+05
+		Ixz	-2048.30
+		Iyx	7.775E+05
+		Iyy	2.575E+06
+		Iyz	659.281
+		Izx	-2048.30
+		Izy	659.281
+		Izz	2.823E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/93350.txt b/orbital-debris-research/directed-study/report-1/parts/93350.txt
new file mode 100644
index 000000000..a26af167f
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/93350.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	OBC
+	Part Name	OBC
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	365.638 g
+	Volume	46578.15 mm^3
+	Density	0.008 g / mm^3
+	Area	74736.144 mm^2
+	World X,Y,Z	54.00 mm, -92.50 mm, -33.908 mm
+	Center of Mass	98.16 mm, -28.68 mm, -29.853 mm
+	Bounding Box
+		Length	92.00 mm
+		Width	96.00 mm
+		Height	23.241 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	2.876E+05
+		Ixy	-13194.264
+		Ixz	-3855.954
+		Iyx	-13194.264
+		Iyy	1.945E+05
+		Iyz	-14045.494
+		Izx	-3855.954
+		Izy	-14045.494
+		Izz	4.699E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.142E+05
+		Ixy	1.016E+06
+		Ixz	1.068E+06
+		Iyx	1.016E+06
+		Iyy	4.043E+06
+		Iyz	-3.271E+05
+		Izx	1.068E+06
+		Izy	-3.271E+05
+		Izz	4.294E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/93639.txt b/orbital-debris-research/directed-study/report-1/parts/93639.txt
new file mode 100644
index 000000000..e30b98b35
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/93639.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_ISPA_1U_SIDE.stp
+	Part Name	ISIS_ISPA_1U_SIDE.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	108.079 g
+	Volume	13768.029 mm^3
+	Density	0.008 g / mm^3
+	Area	19215.837 mm^2
+	World X,Y,Z	-149.00 mm, 103.80 mm, -41.30 mm
+	Center of Mass	-101.414 mm, 102.908 mm, 0.712 mm
+	Bounding Box
+		Length	98.00 mm
+		Width	4.95 mm
+		Height	82.60 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	71947.322
+		Ixy	-290.86
+		Ixz	-1871.371
+		Iyx	-290.86
+		Iyy	1.689E+05
+		Iyz	36.897
+		Izx	-1871.371
+		Izy	36.897
+		Izz	97174.771
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.217E+06
+		Ixy	1.128E+06
+		Ixz	5927.742
+		Iyx	1.128E+06
+		Iyy	1.281E+06
+		Iyz	-7877.109
+		Izx	5927.742
+		Izy	-7877.109
+		Izz	2.353E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/93946.txt b/orbital-debris-research/directed-study/report-1/parts/93946.txt
new file mode 100644
index 000000000..7e5ece18f
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/93946.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	central_frame
+	Part Name	central_frame
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	0.00 g
+	Volume	12245.003 mm^3
+	Density	0.00 g / mm^3
+	Area	18268.074 mm^2
+	World X,Y,Z	0.00 mm, 58.689 mm, 0.00 mm
+	Center of Mass	0.00 mm, 0.00 mm, 0.00 mm
+	Bounding Box
+		Length	51.213 mm
+		Width	89.465 mm
+		Height	51.213 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	0.00
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	0.00
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	0.00
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	0.00
+		Ixy	0.00
+		Ixz	0.00
+		Iyx	0.00
+		Iyy	0.00
+		Iyz	0.00
+		Izx	0.00
+		Izy	0.00
+		Izz	0.00
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/96358.txt b/orbital-debris-research/directed-study/report-1/parts/96358.txt
new file mode 100644
index 000000000..89a598330
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/96358.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ISIS_iSPA_2U_BMSP.stp
+	Part Name	ISIS_iSPA_2U_BMSP.stp
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	238.488 g
+	Volume	30380.637 mm^3
+	Density	0.008 g / mm^3
+	Area	36346.664 mm^2
+	World X,Y,Z	0.00 mm, 101.50 mm, -155.75 mm
+	Center of Mass	-0.085 mm, 100.856 mm, -156.077 mm
+	Bounding Box
+		Length	82.60 mm
+		Width	3.87 mm
+		Height	211.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	8.804E+05
+		Ixy	-25.432
+		Ixz	-1129.026
+		Iyx	-25.432
+		Iyy	1.013E+06
+		Iyz	-263.002
+		Izx	-1129.026
+		Izy	-263.002
+		Izz	1.323E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	9.116E+06
+		Ixy	2029.53
+		Ixz	-4309.125
+		Iyx	2029.53
+		Iyy	6.822E+06
+		Iyz	3.754E+06
+		Izx	-4309.125
+		Izy	3.754E+06
+		Izz	2.558E+06
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/96583.txt b/orbital-debris-research/directed-study/report-1/parts/96583.txt
new file mode 100644
index 000000000..d8c5150da
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/96583.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	ceveau moteur MG996R
+	Part Name	ceveau moteur MG996R
+	Description
+	Material Name	Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	249.853 g
+	Volume	31828.40 mm^3
+	Density	0.008 g / mm^3
+	Area	7087.864 mm^2
+	World X,Y,Z	-41.407 mm, 27.689 mm, -20.75 mm
+	Center of Mass	-21.892 mm, 17.689 mm, -0.266 mm
+	Bounding Box
+		Length	44.60 mm
+		Width	20.00 mm
+		Height	51.50 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	43596.745
+		Ixy	-0.734
+		Ixz	-579.509
+		Iyx	-0.734
+		Iyy	66601.457
+		Iyz	-0.354
+		Izx	-579.509
+		Izy	-0.354
+		Izz	39407.793
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	1.218E+05
+		Ixy	96752.047
+		Ixz	-2035.719
+		Iyx	96752.047
+		Iyy	1.864E+05
+		Iyz	1176.296
+		Izx	-2035.719
+		Izy	1176.296
+		Izz	2.373E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/96669.txt b/orbital-debris-research/directed-study/report-1/parts/96669.txt
new file mode 100644
index 000000000..10fb3a5eb
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/96669.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	capture_system_assembly
+	Part Name	capture_system_assembly
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	317.415 g
+	Volume	56671.244 mm^3
+	Density	0.006 g / mm^3
+	Area	46801.002 mm^2
+	World X,Y,Z	0.00 mm, 58.689 mm, 0.00 mm
+	Center of Mass	-17.201 mm, 29.311 mm, -0.167 mm
+	Bounding Box
+		Length	71.513 mm
+		Width	92.311 mm
+		Height	51.857 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	2.391E+05
+		Ixy	-63330.79
+		Ixz	-1142.274
+		Iyx	-63330.79
+		Iyy	1.134E+05
+		Iyz	-547.098
+		Izx	-1142.274
+		Izy	-547.098
+		Izz	2.729E+05
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	5.118E+05
+		Ixy	96701.466
+		Ixz	-2054.379
+		Iyx	96701.466
+		Iyy	2.073E+05
+		Iyz	1007.126
+		Izx	-2054.379
+		Izy	1007.126
+		Izz	6.396E+05
+
diff --git a/orbital-debris-research/directed-study/report-1/parts/99258.txt b/orbital-debris-research/directed-study/report-1/parts/99258.txt
new file mode 100644
index 000000000..c1db4c323
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/parts/99258.txt
@@ -0,0 +1,45 @@
+General
+	Part Number	projectile
+	Part Name	projectile
+	Description
+	Material Name	SOLIDWORKS Materials|Plain Carbon Steel
+
+Manage
+	Item Number
+	Lifecycle
+	Revision
+	State	Working
+	Change Order
+
+Physical
+	Mass	0.847 g
+	Volume	108.651 mm^3
+	Density	0.008 g / mm^3
+	Area	274.826 mm^2
+	World X,Y,Z	-12.50 mm, 60.07 mm, -12.50 mm
+	Center of Mass	-12.192 mm, 62.501 mm, -12.192 mm
+	Bounding Box
+		Length	10.037 mm
+		Width	10.736 mm
+		Height	10.037 mm
+	Moment of Inertia at Center of Mass   (g mm^2)
+		Ixx	6.898
+		Ixy	0.237
+		Ixz	-0.964
+		Iyx	0.237
+		Iyy	10.173
+		Iyz	0.237
+		Izx	-0.964
+		Izy	0.237
+		Izz	6.898
+	Moment of Inertia at Origin   (g mm^2)
+		Ixx	3443.451
+		Ixy	646.026
+		Ixz	-126.936
+		Iyx	646.026
+		Iyy	262.119
+		Iyz	646.026
+		Izx	-126.936
+		Izy	646.026
+		Izz	3443.451
+
diff --git a/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk b/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk
index 063e6e196..d0ab13ed6 100644
--- a/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk
+++ b/orbital-debris-research/directed-study/report-1/prop_to_txt.ahk
@@ -1,30 +1,30 @@
-#Persistent
-OnClipboardChange("ClipChanged")
-return
-
-ClipChanged(Type) {
-;    _____ _                            
-;   / ____| |                           
-;  | |    | |__   __ _ _ __   __ _  ___ 
-;  | |    | '_ \ / _` | '_ \ / _` |/ _ \
-;  | |____| | | | (_| | | | | (_| |  __/
-;   \_____|_| |_|\__,_|_|_|_|\__, |\___|
-;            |  \/  |  ____|  __/ |     
-;            | \  / | |__    |___/      
-;            | |\/| |  __|              
-;            | |  | | |____             
-;            |_|  |_|______|       
-;           
-;             \/\/\/\/\/\/\/\/\/\/\/\/\/\/
-outputDir := "C:\Coding\fusion-properties\parts\"
-
-
-Random, rand, 10000, 99999
-
-file := FileOpen(outputDir . rand . ".txt","w")
-
-file.Write(clipboard)
-file.Close()
-}
-
-Esc::ExitApp  ; Exit script with Escape key
+#Persistent
+OnClipboardChange("ClipChanged")
+return
+
+ClipChanged(Type) {
+;    _____ _                            
+;   / ____| |                           
+;  | |    | |__   __ _ _ __   __ _  ___ 
+;  | |    | '_ \ / _` | '_ \ / _` |/ _ \
+;  | |____| | | | (_| | | | | (_| |  __/
+;   \_____|_| |_|\__,_|_|_|_|\__, |\___|
+;            |  \/  |  ____|  __/ |     
+;            | \  / | |__    |___/      
+;            | |\/| |  __|              
+;            | |  | | |____             
+;            |_|  |_|______|       
+;           
+;             \/\/\/\/\/\/\/\/\/\/\/\/\/\/
+outputDir := "C:\Coding\fusion-properties\parts\"
+
+
+Random, rand, 10000, 99999
+
+file := FileOpen(outputDir . rand . ".txt","w")
+
+file.Write(clipboard)
+file.Close()
+}
+
+Esc::ExitApp  ; Exit script with Escape key
-- 
2.51.2


From e26d515fee9dbf526af01f7268702a9562cacf58 Mon Sep 17 00:00:00 2001
From: MisterBiggs <anson@ansonbiggs.com>
Date: Sat, 12 Feb 2022 20:34:13 -0700
Subject: [PATCH 04/12] clippy

---
 .../directed-study/report-1/parser/src/main.rs       | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/orbital-debris-research/directed-study/report-1/parser/src/main.rs b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
index dd3fb00eb..7f244e248 100644
--- a/orbital-debris-research/directed-study/report-1/parser/src/main.rs
+++ b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
@@ -1,9 +1,5 @@
 #![allow(non_snake_case)]
-use std::{
-    ascii::AsciiExt,
-    fs,
-    io::{BufRead, Write},
-};
+use std::{fs, io::Write};
 #[macro_use]
 extern crate scan_fmt;
 use csv::Writer;
@@ -54,7 +50,7 @@ fn main() {
 
     let mut outfile = fs::File::create("../compiled.csv").unwrap();
 
-    outfile.write(data.as_bytes()).unwrap();
+    outfile.write_all(data.as_bytes()).unwrap();
 }
 
 fn parse_props(infile: Vec<String>) -> Properties {
@@ -93,7 +89,7 @@ fn parse_props(infile: Vec<String>) -> Properties {
     let Izy = scan_fmt!(&infile[32], "Izy {}", f64).unwrap();
     let Izz = scan_fmt!(&infile[33], "Izz {}", f64).unwrap();
 
-    return Properties {
+    Properties {
         part_number,
         part_name,
         material_name,
@@ -116,5 +112,5 @@ fn parse_props(infile: Vec<String>) -> Properties {
         Izx,
         Izy,
         Izz,
-    };
+    }
 }
-- 
2.51.2


From 29411888a56b62f21ac0776d746f1d7025d92597 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Sat, 12 Feb 2022 22:28:31 -0700
Subject: [PATCH 05/12] updated parsing of strings

---
 .../directed-study/report-1/compiled.csv      |  96 +++----
 .../report-1/parser/src/main.rs               | 240 +++++++++---------
 2 files changed, 168 insertions(+), 168 deletions(-)

diff --git a/orbital-debris-research/directed-study/report-1/compiled.csv b/orbital-debris-research/directed-study/report-1/compiled.csv
index ea65c5369..bb36bb241 100644
--- a/orbital-debris-research/directed-study/report-1/compiled.csv
+++ b/orbital-debris-research/directed-study/report-1/compiled.csv
@@ -1,49 +1,49 @@
 part_number,part_name,material_name,mass,volume,density,area,cmX,cmY,cmZ,bb_length,bb_width,bb_height,Ixx,Ixy,Ixz,Iyx,Iyy,Iyz,Izx,Izy,Izz
-camera_mount,camera_mount,SOLIDWORKS,1.066,995.9,0.001,2069.301,26.077,77.19,3.791e-6,15.0,29.904,16.0,106.388,14.146,0.00004366,14.146,50.609,-0.00002246,0.00004366,-0.00002246,96.709
-ISIS_ISPA_1U_SIDE.stp,ISIS_ISPA_1U_SIDE.stp,Steel,108.079,13768.029,0.008,19215.837,101.414,102.908,-0.712,98.0,4.95,82.6,71947.322,290.86,-1871.371,290.86,168900.0,-36.897,-1871.371,-36.897,97174.771
-Transceiver,Transceiver,Steel,433.406,55210.971,0.008,57969.555,98.357,-33.327,34.57,94.305,96.0,23.241,349100.0,-21151.644,452.774,-21151.644,209400.0,-11695.911,452.774,-11695.911,548600.0
-projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,12.192,62.501,12.192,10.037,10.736,10.037,6.898,-0.237,-0.964,-0.237,10.173,-0.237,-0.964,-0.237,6.898
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,100.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,50.0,-6.838,-53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,22.007,0.0,22.007,1263.292
-EPS,EPS,Steel,2445.66,311500.0,0.008,81469.345,97.5,77.673,0.0,96.0,57.0,90.0,2111000.0,5.684e-9,8.708e-9,5.684e-9,3554000.0,-2.275e-7,8.708e-9,-2.275e-7,2351000.0
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,50.0,-6.838,53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,-22.007,0.0,-22.007,1263.292
-Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,-47.0,20.0,36.626,33.0,33.0,38.4,6948.003,0.0,0.0,0.0,6948.003,1.907e-7,0.0,1.907e-7,8030.751
-94125K112_COMPRESSION,94125K112_COMPRESSION,Steel,3.615,460.535,0.008,1181.069,0.002,40.69,0.115,14.263,27.202,14.263,297.902,-8.916,0.008,-8.916,142.892,0.006,0.008,0.006,298.189
-Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,-55.0,8.674,3.51e-10,33.0,38.4,33.0,6948.003,0.0,0.0,0.0,8030.751,-1.907e-7,0.0,-1.907e-7,6948.003
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,0.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
-Star,Star,Steel,1630.538,207700.0,0.008,22393.539,-99.709,-46.985,-0.002,95.0,50.0,44.0,604200.0,1141.64,-180.799,1141.64,1475000.0,90.57,-180.799,90.57,1552000.0
-NANO,NANO,Steel,7148.863,910700.0,0.008,62516.961,0.196,-50.181,0.007,99.0,98.5,101.942,11020000.0,-44155.286,9346.828,-44155.286,11340000.0,-1856.989,9346.828,-1856.989,11070000.0
-6U,6U,Steel,141.036,17966.31,0.008,33980.334,114.874,-107.204,15.729,283.0,10.74,283.0,123300.0,594.999,49544.957,594.999,249700.0,103.946,49544.957,103.946,127900.0
-Runcam,Runcam,Steel,12.203,1554.512,0.008,2351.908,22.024,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
-Runcam,Runcam,Steel,12.203,1554.512,0.008,2351.908,-22.19,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
-Sat,Sat,SOLIDWORKS,907.378,336100.0,0.003,309800.0,-0.183,9.787,0.0,300.0,200.0,100.0,5943000.0,-9889.642,2.304e-7,-9889.642,9867000.0,4.898e-8,2.304e-7,4.898e-8,12760000.0
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-99.915,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
-ISIS_iSPA_3U_BMSP.stp,ISIS_iSPA_3U_BMSP.stp,Steel,365.628,46576.871,0.008,55492.134,-312.965,100.861,0.06,325.0,3.87,82.6,203300.0,-494.885,2050.657,-494.885,3421000.0,24.145,2050.657,24.145,3218000.0
-Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,-34.5,48.078,-26.0,11.0,84.0,11.0,29861.282,0.0,0.0,0.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282
-Reaction,Reaction,SOLIDWORKS,51.926,19232.035,0.003,5129.026,38.624,37.3,3.51e-10,38.4,33.0,33.0,8030.751,0.0,-1.907e-7,0.0,6948.003,0.0,-1.907e-7,0.0,6948.003
-piece,piece,Steel,4.211,536.42,0.008,874.34,2.808,17.795,3.382,5.3,11.75,29.872,293.908,-0.239,14.364,-0.239,271.745,3.944,14.364,3.944,34.92
-Control,Control,Steel,133.418,16995.941,0.008,30952.471,-99.965,-66.081,-39.009,66.0,57.65,19.0,37456.154,-3.29,1.794,-3.29,43890.031,450.15,1.794,450.15,69728.676
-camera_mount,camera_mount,SOLIDWORKS,1.066,995.9,0.001,2069.301,-26.077,77.19,-3.791e-6,15.0,29.904,16.0,106.388,-14.146,0.00004366,-14.146,50.609,0.00002246,0.00004366,0.00002246,96.709
-hopper,hopper,SOLIDWORKS,20.543,2633.756,0.008,6078.184,0.0,78.286,-1.095e-9,24.0,50.311,44.0,6116.051,0.0,0.0,0.0,2739.986,-9.539e-8,0.0,-9.539e-8,5261.763
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,99.915,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,-153.505,-16.838,-44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,-51.5,-103.505,-1.662,11.0,6.0,33.5,1185.612,0.0,0.0,0.0,1263.292,-22.007,0.0,-22.007,137.268
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,153.505,18.338,44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
-projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,12.192,62.501,-12.192,10.037,10.736,10.037,6.898,-0.237,0.964,-0.237,10.173,0.237,0.964,0.237,6.898
-GPS,GPS,Steel,46.103,5872.947,0.008,13143.977,-100.011,-59.558,40.874,70.0,70.0,9.69,7391.782,-0.489,0.13,-0.489,6207.598,206.025,0.13,206.025,13248.414
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-100.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
-Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,26.5,7.8,-0.749,11.0,11.0,84.0,29861.282,0.0,0.0,0.0,29861.282,1.175e-6,0.0,1.175e-6,865.842
-projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,-12.192,62.501,12.192,10.037,10.736,10.037,6.898,0.237,0.964,0.237,10.173,-0.237,0.964,-0.237,6.898
-spring_adaptor,spring_adaptor,SOLIDWORKS,9.266,3431.699,0.003,3369.751,0.0,53.939,-2.648e-9,45.0,2.5,45.0,1253.994,0.0,0.0,0.0,2498.336,0.0,0.0,0.0,1253.994
-6U,6U,Steel,141.036,17966.31,0.008,33980.334,-114.874,-107.204,-15.729,283.0,10.74,283.0,123300.0,-594.999,49544.957,-594.999,249700.0,-103.946,49544.957,-103.946,127900.0
-ISIS_iSPA_3U_BMSP.stp,ISIS_iSPA_3U_BMSP.stp,Steel,365.628,46576.871,0.008,55492.134,312.965,100.861,-0.06,325.0,3.87,82.6,203300.0,494.885,2050.657,494.885,3421000.0,-24.145,2050.657,-24.145,3218000.0
-Magnetorquer,Magnetorquer,Steel,58.053,7395.244,0.008,2990.011,-3.751,22.8,-39.0,84.0,11.0,11.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282,0.0,0.0,0.0,29861.282
-Sun,Sun,Steel,11.338,1444.311,0.008,1210.691,28.338,103.505,39.5,33.5,6.0,11.0,137.268,22.007,0.0,22.007,1263.292,0.0,0.0,0.0,1185.612
-Fuel,Fuel,Steel,505.292,64368.346,0.008,9976.414,69.496,-22.141,0.059,40.0,41.0,41.0,135200.0,30.406,15.534,30.406,134900.0,1.738,15.534,1.738,134900.0
-OBC,OBC,Steel,365.638,46578.15,0.008,74736.144,98.16,-28.68,-29.853,92.0,96.0,23.241,287600.0,-13194.264,-3855.954,-13194.264,194500.0,-14045.494,-3855.954,-14045.494,469900.0
-ISIS_ISPA_1U_SIDE.stp,ISIS_ISPA_1U_SIDE.stp,Steel,108.079,13768.029,0.008,19215.837,-101.414,102.908,0.712,98.0,4.95,82.6,71947.322,-290.86,-1871.371,-290.86,168900.0,36.897,-1871.371,36.897,97174.771
-central_frame,central_frame,SOLIDWORKS,0.0,12245.003,0.0,18268.074,0.0,0.0,0.0,51.213,89.465,51.213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-ISIS_iSPA_2U_BMSP.stp,ISIS_iSPA_2U_BMSP.stp,Steel,238.488,30380.637,0.008,36346.664,-0.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
-ceveau,ceveau,Steel,249.853,31828.4,0.008,7087.864,-21.892,17.689,-0.266,44.6,20.0,51.5,43596.745,-0.734,-579.509,-0.734,66601.457,-0.354,-579.509,-0.354,39407.793
-capture_system_assembly,capture_system_assembly,SOLIDWORKS,317.415,56671.244,0.006,46801.002,-17.201,29.311,-0.167,71.513,92.311,51.857,239100.0,-63330.79,-1142.274,-63330.79,113400.0,-547.098,-1142.274,-547.098,272900.0
-projectile,projectile,SOLIDWORKS,0.847,108.651,0.008,274.826,-12.192,62.501,-12.192,10.037,10.736,10.037,6.898,0.237,-0.964,0.237,10.173,0.237,-0.964,0.237,6.898
+"camera_mount
","camera_mount
","SOLIDWORKS Materials|ABS PC
",1.066,995.9,0.001,2069.301,26.077,77.19,3.791e-6,15.0,29.904,16.0,106.388,14.146,0.00004366,14.146,50.609,-0.00002246,0.00004366,-0.00002246,96.709
+"ISIS_ISPA_1U_SIDE.stp
","ISIS_ISPA_1U_SIDE.stp
","Steel
",108.079,13768.029,0.008,19215.837,101.414,102.908,-0.712,98.0,4.95,82.6,71947.322,290.86,-1871.371,290.86,168900.0,-36.897,-1871.371,-36.897,97174.771
+"Transceiver
","Transceiver
","Steel
",433.406,55210.971,0.008,57969.555,98.357,-33.327,34.57,94.305,96.0,23.241,349100.0,-21151.644,452.774,-21151.644,209400.0,-11695.911,452.774,-11695.911,548600.0
+"projectile
","projectile
","SOLIDWORKS Materials|Plain Carbon Steel
",0.847,108.651,0.008,274.826,12.192,62.501,12.192,10.037,10.736,10.037,6.898,-0.237,-0.964,-0.237,10.173,-0.237,-0.964,-0.237,6.898
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,100.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,50.0,-6.838,-53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,22.007,0.0,22.007,1263.292
+"EPS
","EPS
","Steel
",2445.66,311500.0,0.008,81469.345,97.5,77.673,0.0,96.0,57.0,90.0,2111000.0,5.684e-9,8.708e-9,5.684e-9,3554000.0,-2.275e-7,8.708e-9,-2.275e-7,2351000.0
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,50.0,-6.838,53.505,11.0,33.5,6.0,1185.612,0.0,0.0,0.0,137.268,-22.007,0.0,-22.007,1263.292
+"Reaction Wheel
","Reaction Wheel
","SOLIDWORKS Materials|6061-T6 (SS)
",51.926,19232.035,0.003,5129.026,-47.0,20.0,36.626,33.0,33.0,38.4,6948.003,0.0,0.0,0.0,6948.003,1.907e-7,0.0,1.907e-7,8030.751
+"94125K112_COMPRESSION SPRINGS
","94125K112_COMPRESSION SPRINGS
","Steel
",3.615,460.535,0.008,1181.069,0.002,40.69,0.115,14.263,27.202,14.263,297.902,-8.916,0.008,-8.916,142.892,0.006,0.008,0.006,298.189
+"Reaction Wheel
","Reaction Wheel
","SOLIDWORKS Materials|6061-T6 (SS)
",51.926,19232.035,0.003,5129.026,-55.0,8.674,3.51e-10,33.0,38.4,33.0,6948.003,0.0,0.0,0.0,8030.751,-1.907e-7,0.0,-1.907e-7,6948.003
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,0.085,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+"Star Tracker
","Star Tracker
","Steel
",1630.538,207700.0,0.008,22393.539,-99.709,-46.985,-0.002,95.0,50.0,44.0,604200.0,1141.64,-180.799,1141.64,1475000.0,90.57,-180.799,90.57,1552000.0
+"NANO R3 IFMP1 13.08.2020.step
","NANO R3 IFMP1 13.08.2020.step
","Steel
",7148.863,910700.0,0.008,62516.961,0.196,-50.181,0.007,99.0,98.5,101.942,11020000.0,-44155.286,9346.828,-44155.286,11340000.0,-1856.989,9346.828,-1856.989,11070000.0
+"6U Half
","6U Half
","Steel
",141.036,17966.31,0.008,33980.334,114.874,-107.204,15.729,283.0,10.74,283.0,123300.0,594.999,49544.957,594.999,249700.0,103.946,49544.957,103.946,127900.0
+"Runcam Racer Nano.step
","Runcam Racer Nano.step
","Steel
",12.203,1554.512,0.008,2351.908,22.024,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
+"Runcam Racer Nano.step
","Runcam Racer Nano.step
","Steel
",12.203,1554.512,0.008,2351.908,-22.19,89.222,-0.048,14.0,14.9,14.078,423.832,-5.8,3.527,-5.8,347.356,-3.41,3.527,-3.41,419.172
+"Sat Chasis 2x3
","Sat Chasis 2x3
","SOLIDWORKS Materials|6061-T6 (SS)
",907.378,336100.0,0.003,309800.0,-0.183,9.787,0.0,300.0,200.0,100.0,5943000.0,-9889.642,2.304e-7,-9889.642,9867000.0,4.898e-8,2.304e-7,4.898e-8,12760000.0
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,-99.915,100.856,156.077,82.6,3.87,211.5,880400.0,25.432,-1129.026,25.432,1013000.0,263.002,-1129.026,263.002,132300.0
+"ISIS_iSPA_3U_BMSP.stp
","ISIS_iSPA_3U_BMSP.stp
","Steel
",365.628,46576.871,0.008,55492.134,-312.965,100.861,0.06,325.0,3.87,82.6,203300.0,-494.885,2050.657,-494.885,3421000.0,24.145,2050.657,24.145,3218000.0
+"Magnetorquer
","Magnetorquer
","Steel
",58.053,7395.244,0.008,2990.011,-34.5,48.078,-26.0,11.0,84.0,11.0,29861.282,0.0,0.0,0.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282
+"Reaction Wheel
","Reaction Wheel
","SOLIDWORKS Materials|6061-T6 (SS)
",51.926,19232.035,0.003,5129.026,38.624,37.3,3.51e-10,38.4,33.0,33.0,8030.751,0.0,-1.907e-7,0.0,6948.003,0.0,-1.907e-7,0.0,6948.003
+"piece de liaison Longue MG996r
","piece de liaison Longue MG996r
","Steel
",4.211,536.42,0.008,874.34,2.808,17.795,3.382,5.3,11.75,29.872,293.908,-0.239,14.364,-0.239,271.745,3.944,14.364,3.944,34.92
+"Control Unit
","Control Unit
","Steel
",133.418,16995.941,0.008,30952.471,-99.965,-66.081,-39.009,66.0,57.65,19.0,37456.154,-3.29,1.794,-3.29,43890.031,450.15,1.794,450.15,69728.676
+"camera_mount
","camera_mount
","SOLIDWORKS Materials|ABS PC
",1.066,995.9,0.001,2069.301,-26.077,77.19,-3.791e-6,15.0,29.904,16.0,106.388,-14.146,0.00004366,-14.146,50.609,0.00002246,0.00004366,0.00002246,96.709
+"hopper
","hopper
","SOLIDWORKS Materials|Plain Carbon Steel
",20.543,2633.756,0.008,6078.184,0.0,78.286,-1.095e-9,24.0,50.311,44.0,6116.051,0.0,0.0,0.0,2739.986,-9.539e-8,0.0,-9.539e-8,5261.763
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,99.915,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,-153.505,-16.838,-44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,-51.5,-103.505,-1.662,11.0,6.0,33.5,1185.612,0.0,0.0,0.0,1263.292,-22.007,0.0,-22.007,137.268
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,153.505,18.338,44.5,6.0,33.5,11.0,1263.292,22.007,0.0,22.007,137.268,0.0,0.0,0.0,1185.612
+"projectile
","projectile
","SOLIDWORKS Materials|Plain Carbon Steel
",0.847,108.651,0.008,274.826,12.192,62.501,-12.192,10.037,10.736,10.037,6.898,-0.237,0.964,-0.237,10.173,0.237,0.964,0.237,6.898
+"GPS Patch Antenna
","GPS Patch Antenna
","Steel
",46.103,5872.947,0.008,13143.977,-100.011,-59.558,40.874,70.0,70.0,9.69,7391.782,-0.489,0.13,-0.489,6207.598,206.025,0.13,206.025,13248.414
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,-100.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+"Magnetorquer
","Magnetorquer
","Steel
",58.053,7395.244,0.008,2990.011,26.5,7.8,-0.749,11.0,11.0,84.0,29861.282,0.0,0.0,0.0,29861.282,1.175e-6,0.0,1.175e-6,865.842
+"projectile
","projectile
","SOLIDWORKS Materials|Plain Carbon Steel
",0.847,108.651,0.008,274.826,-12.192,62.501,12.192,10.037,10.736,10.037,6.898,0.237,0.964,0.237,10.173,-0.237,0.964,-0.237,6.898
+"spring_adaptor
","spring_adaptor
","SOLIDWORKS Materials|1060 Alloy
",9.266,3431.699,0.003,3369.751,0.0,53.939,-2.648e-9,45.0,2.5,45.0,1253.994,0.0,0.0,0.0,2498.336,0.0,0.0,0.0,1253.994
+"6U Half
","6U Half
","Steel
",141.036,17966.31,0.008,33980.334,-114.874,-107.204,-15.729,283.0,10.74,283.0,123300.0,-594.999,49544.957,-594.999,249700.0,-103.946,49544.957,-103.946,127900.0
+"ISIS_iSPA_3U_BMSP.stp
","ISIS_iSPA_3U_BMSP.stp
","Steel
",365.628,46576.871,0.008,55492.134,312.965,100.861,-0.06,325.0,3.87,82.6,203300.0,494.885,2050.657,494.885,3421000.0,-24.145,2050.657,-24.145,3218000.0
+"Magnetorquer
","Magnetorquer
","Steel
",58.053,7395.244,0.008,2990.011,-3.751,22.8,-39.0,84.0,11.0,11.0,865.842,-1.175e-6,0.0,-1.175e-6,29861.282,0.0,0.0,0.0,29861.282
+"Sun Sensor
","Sun Sensor
","Steel
",11.338,1444.311,0.008,1210.691,28.338,103.505,39.5,33.5,6.0,11.0,137.268,22.007,0.0,22.007,1263.292,0.0,0.0,0.0,1185.612
+"Fuel Brick
","Fuel Brick
","Steel
",505.292,64368.346,0.008,9976.414,69.496,-22.141,0.059,40.0,41.0,41.0,135200.0,30.406,15.534,30.406,134900.0,1.738,15.534,1.738,134900.0
+"OBC
","OBC
","Steel
",365.638,46578.15,0.008,74736.144,98.16,-28.68,-29.853,92.0,96.0,23.241,287600.0,-13194.264,-3855.954,-13194.264,194500.0,-14045.494,-3855.954,-14045.494,469900.0
+"ISIS_ISPA_1U_SIDE.stp
","ISIS_ISPA_1U_SIDE.stp
","Steel
",108.079,13768.029,0.008,19215.837,-101.414,102.908,0.712,98.0,4.95,82.6,71947.322,-290.86,-1871.371,-290.86,168900.0,36.897,-1871.371,36.897,97174.771
+"central_frame
","central_frame
","SOLIDWORKS Materials|Plain Carbon Steel
",0.0,12245.003,0.0,18268.074,0.0,0.0,0.0,51.213,89.465,51.213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+"ISIS_iSPA_2U_BMSP.stp
","ISIS_iSPA_2U_BMSP.stp
","Steel
",238.488,30380.637,0.008,36346.664,-0.085,100.856,-156.077,82.6,3.87,211.5,880400.0,-25.432,-1129.026,-25.432,1013000.0,-263.002,-1129.026,-263.002,132300.0
+"ceveau moteur MG996R
","ceveau moteur MG996R
","Steel
",249.853,31828.4,0.008,7087.864,-21.892,17.689,-0.266,44.6,20.0,51.5,43596.745,-0.734,-579.509,-0.734,66601.457,-0.354,-579.509,-0.354,39407.793
+"capture_system_assembly
","capture_system_assembly
","SOLIDWORKS Materials|Plain Carbon Steel
",317.415,56671.244,0.006,46801.002,-17.201,29.311,-0.167,71.513,92.311,51.857,239100.0,-63330.79,-1142.274,-63330.79,113400.0,-547.098,-1142.274,-547.098,272900.0
+"projectile
","projectile
","SOLIDWORKS Materials|Plain Carbon Steel
",0.847,108.651,0.008,274.826,-12.192,62.501,-12.192,10.037,10.736,10.037,6.898,0.237,-0.964,0.237,10.173,0.237,-0.964,0.237,6.898
diff --git a/orbital-debris-research/directed-study/report-1/parser/src/main.rs b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
index dd3fb00eb..c577d13c3 100644
--- a/orbital-debris-research/directed-study/report-1/parser/src/main.rs
+++ b/orbital-debris-research/directed-study/report-1/parser/src/main.rs
@@ -1,120 +1,120 @@
-#![allow(non_snake_case)]
-use std::{
-    ascii::AsciiExt,
-    fs,
-    io::{BufRead, Write},
-};
-#[macro_use]
-extern crate scan_fmt;
-use csv::Writer;
-use serde::Serialize;
-
-#[derive(Serialize)]
-struct Properties {
-    part_number: String,
-    part_name: String,
-    material_name: String,
-    mass: f64,
-    volume: f64,
-    density: f64,
-    area: f64,
-    cmX: f64,
-    cmY: f64,
-    cmZ: f64,
-    bb_length: f64,
-    bb_width: f64,
-    bb_height: f64,
-    Ixx: f64,
-    Ixy: f64,
-    Ixz: f64,
-    Iyx: f64,
-    Iyy: f64,
-    Iyz: f64,
-    Izx: f64,
-    Izy: f64,
-    Izz: f64,
-}
-
-fn main() {
-    let mut wtr = Writer::from_writer(vec![]);
-
-    for fpath in fs::read_dir("../parts").unwrap() {
-        let infile = fs::read_to_string(fpath.unwrap().path())
-            .expect("Cannot read file.")
-            .split('\n')
-            .map(|l| l.to_owned())
-            .collect::<Vec<String>>();
-
-        wtr.serialize(parse_props(infile)).unwrap();
-    }
-
-    let data = String::from_utf8(wtr.into_inner().unwrap()).unwrap();
-
-    println!("{}", data);
-
-    let mut outfile = fs::File::create("../compiled.csv").unwrap();
-
-    outfile.write(data.as_bytes()).unwrap();
-}
-
-fn parse_props(infile: Vec<String>) -> Properties {
-    let part_number = scan_fmt!(&infile[1], "Part Number {}", String).unwrap();
-    let part_name = scan_fmt!(&infile[2], "Part Name {}", String).unwrap();
-    let material_name = scan_fmt!(&infile[4], "Material Name	{}", String).unwrap();
-
-    let mass = scan_fmt!(&infile[14], "Mass	{} g", f64).unwrap();
-    let volume = scan_fmt!(&infile[15], "Volume	{} mm^3", f64).unwrap();
-    let density = scan_fmt!(&infile[16], "Density {} g / mm^3", f64).unwrap();
-    let area = scan_fmt!(&infile[17], "Area	{} mm^2", f64).unwrap();
-
-    // Center of Mass
-    let (cmX, cmY, cmZ) = scan_fmt!(
-        &infile[19],
-        "Center of Mass	{} mm, {} mm, {} mm",
-        f64,
-        f64,
-        f64
-    )
-    .unwrap();
-
-    // Bounding Box
-    let bb_length = scan_fmt!(&infile[21], "Length {}", f64).unwrap();
-    let bb_width = scan_fmt!(&infile[22], "Width {}", f64).unwrap();
-    let bb_height = scan_fmt!(&infile[23], "Height {}", f64).unwrap();
-
-    // Moments of Inertia at Center of Mass
-    let Ixx = scan_fmt!(&infile[25], "Ixx {}", f64).unwrap();
-    let Ixy = scan_fmt!(&infile[26], "Ixy {}", f64).unwrap();
-    let Ixz = scan_fmt!(&infile[27], "Ixz {}", f64).unwrap();
-    let Iyx = scan_fmt!(&infile[28], "Iyx {}", f64).unwrap();
-    let Iyy = scan_fmt!(&infile[29], "Iyy {}", f64).unwrap();
-    let Iyz = scan_fmt!(&infile[30], "Iyz {}", f64).unwrap();
-    let Izx = scan_fmt!(&infile[31], "Izx {}", f64).unwrap();
-    let Izy = scan_fmt!(&infile[32], "Izy {}", f64).unwrap();
-    let Izz = scan_fmt!(&infile[33], "Izz {}", f64).unwrap();
-
-    return Properties {
-        part_number,
-        part_name,
-        material_name,
-        mass,
-        volume,
-        density,
-        area,
-        cmX,
-        cmY,
-        cmZ,
-        bb_length,
-        bb_width,
-        bb_height,
-        Ixx,
-        Ixy,
-        Ixz,
-        Iyx,
-        Iyy,
-        Iyz,
-        Izx,
-        Izy,
-        Izz,
-    };
-}
+#![allow(non_snake_case)]
+use std::{
+    ascii::AsciiExt,
+    fs,
+    io::{BufRead, Write},
+};
+#[macro_use]
+extern crate scan_fmt;
+use csv::Writer;
+use serde::Serialize;
+
+#[derive(Serialize)]
+struct Properties {
+    part_number: String,
+    part_name: String,
+    material_name: String,
+    mass: f64,
+    volume: f64,
+    density: f64,
+    area: f64,
+    cmX: f64,
+    cmY: f64,
+    cmZ: f64,
+    bb_length: f64,
+    bb_width: f64,
+    bb_height: f64,
+    Ixx: f64,
+    Ixy: f64,
+    Ixz: f64,
+    Iyx: f64,
+    Iyy: f64,
+    Iyz: f64,
+    Izx: f64,
+    Izy: f64,
+    Izz: f64,
+}
+
+fn main() {
+    let mut wtr = Writer::from_writer(vec![]);
+
+    for fpath in fs::read_dir("../parts").unwrap() {
+        let infile = fs::read_to_string(fpath.unwrap().path())
+            .expect("Cannot read file.")
+            .split('\n')
+            .map(|l| l.to_owned())
+            .collect::<Vec<String>>();
+
+        wtr.serialize(parse_props(infile)).unwrap();
+    }
+
+    let data = String::from_utf8(wtr.into_inner().unwrap()).unwrap();
+
+    println!("{}", data);
+
+    let mut outfile = fs::File::create("../compiled.csv").unwrap();
+
+    outfile.write(data.as_bytes()).unwrap();
+}
+
+fn parse_props(infile: Vec<String>) -> Properties {
+    let part_number = scan_fmt!(&infile[1], "Part Number {/.+/}", String).unwrap();
+    let part_name = scan_fmt!(&infile[2], "Part Name {/.+/}", String).unwrap();
+    let material_name = scan_fmt!(&infile[4], "Material Name	{/.+/}", String).unwrap();
+
+    let mass = scan_fmt!(&infile[14], "Mass	{} g", f64).unwrap();
+    let volume = scan_fmt!(&infile[15], "Volume	{} mm^3", f64).unwrap();
+    let density = scan_fmt!(&infile[16], "Density {} g / mm^3", f64).unwrap();
+    let area = scan_fmt!(&infile[17], "Area	{} mm^2", f64).unwrap();
+
+    // Center of Mass
+    let (cmX, cmY, cmZ) = scan_fmt!(
+        &infile[19],
+        "Center of Mass	{} mm, {} mm, {} mm",
+        f64,
+        f64,
+        f64
+    )
+    .unwrap();
+
+    // Bounding Box
+    let bb_length = scan_fmt!(&infile[21], "Length {}", f64).unwrap();
+    let bb_width = scan_fmt!(&infile[22], "Width {}", f64).unwrap();
+    let bb_height = scan_fmt!(&infile[23], "Height {}", f64).unwrap();
+
+    // Moments of Inertia at Center of Mass
+    let Ixx = scan_fmt!(&infile[25], "Ixx {}", f64).unwrap();
+    let Ixy = scan_fmt!(&infile[26], "Ixy {}", f64).unwrap();
+    let Ixz = scan_fmt!(&infile[27], "Ixz {}", f64).unwrap();
+    let Iyx = scan_fmt!(&infile[28], "Iyx {}", f64).unwrap();
+    let Iyy = scan_fmt!(&infile[29], "Iyy {}", f64).unwrap();
+    let Iyz = scan_fmt!(&infile[30], "Iyz {}", f64).unwrap();
+    let Izx = scan_fmt!(&infile[31], "Izx {}", f64).unwrap();
+    let Izy = scan_fmt!(&infile[32], "Izy {}", f64).unwrap();
+    let Izz = scan_fmt!(&infile[33], "Izz {}", f64).unwrap();
+
+    return Properties {
+        part_number,
+        part_name,
+        material_name,
+        mass,
+        volume,
+        density,
+        area,
+        cmX,
+        cmY,
+        cmZ,
+        bb_length,
+        bb_width,
+        bb_height,
+        Ixx,
+        Ixy,
+        Ixz,
+        Iyx,
+        Iyy,
+        Iyz,
+        Izx,
+        Izy,
+        Izz,
+    };
+}
-- 
2.51.2


From d7a7cd726164cfd348c5cc89f258936252602265 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Sun, 13 Feb 2022 15:15:44 -0700
Subject: [PATCH 06/12] code to process data before matlab

---
 .../report-1/prep/Manifest.toml               | 1155 +++++++++++++++++
 .../directed-study/report-1/prep/Project.toml |    6 +
 .../directed-study/report-1/prep/prep.jl      |   60 +
 .../directed-study/report-1/prepped.csv       |   45 +
 4 files changed, 1266 insertions(+)
 create mode 100644 orbital-debris-research/directed-study/report-1/prep/Manifest.toml
 create mode 100644 orbital-debris-research/directed-study/report-1/prep/Project.toml
 create mode 100644 orbital-debris-research/directed-study/report-1/prep/prep.jl
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped.csv

diff --git a/orbital-debris-research/directed-study/report-1/prep/Manifest.toml b/orbital-debris-research/directed-study/report-1/prep/Manifest.toml
new file mode 100644
index 000000000..907f4bb9d
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/prep/Manifest.toml
@@ -0,0 +1,1155 @@
+# This file is machine-generated - editing it directly is not advised
+
+julia_version = "1.7.1"
+manifest_format = "2.0"
+
+[[deps.AbstractFFTs]]
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+
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+[[deps.nghttp2_jll]]
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+[[deps.p7zip_jll]]
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+
+[[deps.x264_jll]]
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+[[deps.x265_jll]]
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+
+[[deps.xkbcommon_jll]]
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+git-tree-sha1 = "ece2350174195bb31de1a63bea3a41ae1aa593b6"
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diff --git a/orbital-debris-research/directed-study/report-1/prep/Project.toml b/orbital-debris-research/directed-study/report-1/prep/Project.toml
new file mode 100644
index 000000000..6b7253644
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/prep/Project.toml
@@ -0,0 +1,6 @@
+[deps]
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
diff --git a/orbital-debris-research/directed-study/report-1/prep/prep.jl b/orbital-debris-research/directed-study/report-1/prep/prep.jl
new file mode 100644
index 000000000..f818b9285
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/prep/prep.jl
@@ -0,0 +1,60 @@
+using DataFrames
+using LinearAlgebra
+using CSV
+using DataFramesMeta
+using Plots
+using StatsPlots
+
+begin
+    df = CSV.read("compiled.csv", DataFrame)
+
+    df.bb_volume = df.bb_length .* df.bb_width .* df.bb_height
+
+
+    @eachrow! df begin
+        @newcol :Ix::Vector{Float64}
+        @newcol :Iy::Vector{Float64}
+        @newcol :Iz::Vector{Float64}
+        @newcol :Ibar::Vector{Float64}
+
+        I = [
+            :Ixx :Ixy :Ixz
+            :Iyx :Iyy :Iyz
+            :Izx :Izy :Izz
+        ]
+
+        (:Ix, :Iy, :Iz) = eigvals(I)
+        :Ibar = :Ix^2 + :Iy^2 + :Iz^2 |> sqrt
+
+    end
+
+
+
+    # Convert material to scalar
+    begin
+        kv = Dict(reverse.(enumerate(Set(df.material_name))))
+        mats = []
+        for material in df.material_name
+            push!(mats, kv[material])
+        end
+        df.material_index = mats
+    end
+
+    # Remove columns not needed for analysis
+    df = df[!, [:mass, :volume, :density, :area, :bb_volume, :Ibar]]
+
+    # Remove outliers
+    df = df[df.bb_volume.<1e6, :]
+    df = df[df.mass.<1000, :]
+end
+
+@df df cornerplot(cols(1:4), compact = true)
+
+# plot(df.mass)
+# histogram(df.mass)
+scatter(df.mass, df.volume)
+
+
+
+
+CSV.write("prepped.csv", df)
\ No newline at end of file
diff --git a/orbital-debris-research/directed-study/report-1/prepped.csv b/orbital-debris-research/directed-study/report-1/prepped.csv
new file mode 100644
index 000000000..e16b7b9de
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/prepped.csv
@@ -0,0 +1,45 @@
+mass,volume,density,area,bb_volume,Ibar
+1.066,995.9,0.001,2069.301,7176.96,153.72874402012403
+108.079,13768.029,0.008,19215.837,40069.26,207734.78101312218
+433.406,55210.971,0.008,57969.555,210407.28048000002,683995.5502520726
+0.847,108.651,0.008,274.826,1081.5593375840003,14.168204014623734
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+51.926,19232.035,0.003,5129.026,41817.6,12690.25031274084
+3.615,460.535,0.008,1181.069,5533.789063138,445.2408284299633
+51.926,19232.035,0.003,5129.026,41817.6,12690.25031274084
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+141.036,17966.31,0.008,33980.334,860155.86,314358.9114140484
+12.203,1554.512,0.008,2351.908,2936.6708,690.0074899607974
+12.203,1554.512,0.008,2351.908,2936.6708,690.0074899607974
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+365.628,46576.871,0.008,55492.134,103890.15,4.701074854900372e6
+58.053,7395.244,0.008,2990.011,10164.0,42239.105195730794
+51.926,19232.035,0.003,5129.026,41817.6,12690.250312740842
+4.211,536.42,0.008,874.34,1860.2788,402.35623195745336
+133.418,16995.941,0.008,30952.471,72293.1,90508.51809910338
+1.066,995.9,0.001,2069.301,7176.96,153.72874402012403
+20.543,2633.756,0.008,6078.184,53128.416,8520.54886629764
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+0.847,108.651,0.008,274.826,1081.5593375840003,14.168204014623734
+46.103,5872.947,0.008,13143.977,47481.0,16394.45274151644
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+58.053,7395.244,0.008,2990.011,10164.0,42239.105195730794
+0.847,108.651,0.008,274.826,1081.5593375840003,14.168204014623734
+9.266,3431.699,0.003,3369.751,5062.5,3063.7696834076805
+141.036,17966.31,0.008,33980.334,860155.86,314358.9114140484
+365.628,46576.871,0.008,55492.134,103890.15,4.701074854900372e6
+58.053,7395.244,0.008,2990.011,10164.0,42239.105195730794
+11.338,1444.311,0.008,1210.691,2211.0,1738.215640169539
+505.292,64368.346,0.008,9976.414,67240.0,233826.99232060715
+365.638,46578.15,0.008,74736.144,205264.512,584912.3744381818
+108.079,13768.029,0.008,19215.837,40069.26,207734.78101312218
+0.0,12245.003,0.0,18268.074,234646.24052758503,0.0
+238.488,30380.637,0.008,36346.664,67608.51299999999,1.3486211992376125e6
+249.853,31828.4,0.008,7087.864,45938.0,88826.10011105421
+317.415,56671.244,0.006,46801.002,342330.694810351,390547.77702129295
+0.847,108.651,0.008,274.826,1081.5593375840003,14.168204014623734
-- 
2.51.2


From 49d3aa8bcd7827a774bc18f36b1eec2f2792406f Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Sun, 13 Feb 2022 15:17:52 -0700
Subject: [PATCH 07/12] matlab code

---
 .../directed-study/report-1/process.m                | 12 ++++++++++++
 1 file changed, 12 insertions(+)
 create mode 100644 orbital-debris-research/directed-study/report-1/process.m

diff --git a/orbital-debris-research/directed-study/report-1/process.m b/orbital-debris-research/directed-study/report-1/process.m
new file mode 100644
index 000000000..20c3230c7
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/process.m
@@ -0,0 +1,12 @@
+readtable("C:\Coding\fusion-properties\prepped.csv")
+dm = readmatrix("C:\Coding\fusion-properties\prepped.csv");
+
+[idx, c sumd] = kmeans(dm,3);
+
+[coeff,score]=pca(dm)
+gscatter(dm(:,1),dm(:,4),idx)
+gscatter(score(:,1),score(:,2),idx)
+sum(score,1)
+top = [dm(:,2), dm(:,4)]
+IDX = kmeans(top,3)
+gscatter(top(:,1),top(:,2),idx)
\ No newline at end of file
-- 
2.51.2


From 3f2a7e26417542d6318c34481feef85f149c1cee Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Mon, 14 Feb 2022 00:35:54 -0700
Subject: [PATCH 08/12] started report

---
 .../report-1/.vscode/settings.json            |   3 +
 .../directed-study/report-1/README.md         |  38 +-
 .../directed-study/report-1/assembly.jpg      | Bin 0 -> 897581 bytes
 .../report-1/prep/Manifest.toml               | 824 ++----------------
 .../directed-study/report-1/prep/Project.toml |   3 +-
 .../directed-study/report-1/prep/prep.jl      |  27 +-
 .../directed-study/report-1/prepped.png       | Bin 0 -> 76118 bytes
 .../directed-study/report-1/process.mlx       | Bin 0 -> 19465 bytes
 8 files changed, 155 insertions(+), 740 deletions(-)
 create mode 100644 orbital-debris-research/directed-study/report-1/.vscode/settings.json
 create mode 100644 orbital-debris-research/directed-study/report-1/assembly.jpg
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped.png
 create mode 100644 orbital-debris-research/directed-study/report-1/process.mlx

diff --git a/orbital-debris-research/directed-study/report-1/.vscode/settings.json b/orbital-debris-research/directed-study/report-1/.vscode/settings.json
new file mode 100644
index 000000000..8146fc90d
--- /dev/null
+++ b/orbital-debris-research/directed-study/report-1/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+  "julia.environmentPath": ".\\prep",
+}
diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index e3aacb207..6144b540e 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1 +1,37 @@
-# Fusion Properties
+---
+title: "Machine Learning Methods for Orbital Debris Characterization"
+description: |
+  A short description of the post.
+author:
+  - name: Anson Biggs
+    url: https://ansonbiggs.com
+date: 2022-02-13
+output:
+  distill::distill_article:
+    self_contained: false
+draft: true
+---
+
+To get started on the project before any scans of the real debris are made available I opted to find similar 3D models online and to process them as if they were data collected by my team. GrabCad is an excellent source of high quality 3D models and all of the models have at worst a non-commercial license making them suitable for this study. To start I downloaded a high quality model of a 6U CubeSat, which coincidentally enough was designed for detection of orbital debris. This model consists of 48 individual parts most of which are unique.
+
+![CubeSat Used for Analysis](assembly.jpg)
+
+## Data Preparation
+
+To begin analysis of the pieces of the satellite key properties from each piece needed to be gathered. The most accessible CAD software for me at the moment is Fusion 360, but most any CAD software is capable of giving properties for a model. The only way to export the properties is to the clipboard of my computer and required clicking on each individual part of the CubeSats assembly. This task was easily automated using an autohotkey script to automatically push my computers clipboard to a file. Below is an example of what each file looks like, but only a portion of the file for brevity. The text file is generated in a way that makes it difficult to parse so a separate piece of code was used to collect all of the data from all of the part files and then turn it into a `.csv` file for easy import into Matlab.
+
+```txt
+...
+Physical
+	Mass	108.079 g
+	Volume	13768.029 mm^3
+	Density	0.008 g / mm^3
+	Area	19215.837 mm^2
+	World X,Y,Z	149.00 mm, 103.80 mm, 41.30 mm
+	Center of Mass	101.414 mm, 102.908 mm, -0.712 mm
+...
+```
+
+The full file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data but most of the columns are unsuitable for characterization of 3D geometry. Its important that the only properties considered are scalars that are independent of a models orientation of position in space. Part of the data provided was a moment of inertia tensor. This was computed down to $I_x$, $I_y$, and $I_z$, which was then used to compute an $\bar{I}$. Then bounding box length, width, and height were used to compute a total volume that the object takes up. In the end the only properties used in the analysis of the parts were: mass, volume, density, area,bounding box volume, $\bar{I}$. Some parts also had to be removed due to being outliers to the final dataset is 44 rows and 6 columns.
+
+![Data before PCA](prepped.png)
diff --git a/orbital-debris-research/directed-study/report-1/assembly.jpg b/orbital-debris-research/directed-study/report-1/assembly.jpg
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/orbital-debris-research/directed-study/report-1/prep/Manifest.toml b/orbital-debris-research/directed-study/report-1/prep/Manifest.toml
index 907f4bb9d..139af3cf5 100644
--- a/orbital-debris-research/directed-study/report-1/prep/Manifest.toml
+++ b/orbital-debris-research/directed-study/report-1/prep/Manifest.toml
@@ -3,50 +3,32 @@
 julia_version = "1.7.1"
 manifest_format = "2.0"
 
-[[deps.AbstractFFTs]]
-deps = ["ChainRulesCore", "LinearAlgebra"]
-git-tree-sha1 = "6f1d9bc1c08f9f4a8fa92e3ea3cb50153a1b40d4"
-uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
-version = "1.1.0"
-
-[[deps.Adapt]]
-deps = ["LinearAlgebra"]
-git-tree-sha1 = "af92965fb30777147966f58acb05da51c5616b5f"
-uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
-version = "3.3.3"
-
 [[deps.ArgTools]]
 uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
 
-[[deps.Arpack]]
-deps = ["Arpack_jll", "Libdl", "LinearAlgebra", "Logging"]
-git-tree-sha1 = "91ca22c4b8437da89b030f08d71db55a379ce958"
-uuid = "7d9fca2a-8960-54d3-9f78-7d1dccf2cb97"
-version = "0.5.3"
-
-[[deps.Arpack_jll]]
-deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "OpenBLAS_jll", "Pkg"]
-git-tree-sha1 = "5ba6c757e8feccf03a1554dfaf3e26b3cfc7fd5e"
-uuid = "68821587-b530-5797-8361-c406ea357684"
-version = "3.5.1+1"
-
 [[deps.Artifacts]]
 uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
 
-[[deps.AxisAlgorithms]]
-deps = ["LinearAlgebra", "Random", "SparseArrays", "WoodburyMatrices"]
-git-tree-sha1 = "66771c8d21c8ff5e3a93379480a2307ac36863f7"
-uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950"
-version = "1.0.1"
+[[deps.AssetRegistry]]
+deps = ["Distributed", "JSON", "Pidfile", "SHA", "Test"]
+git-tree-sha1 = "b25e88db7944f98789130d7b503276bc34bc098e"
+uuid = "bf4720bc-e11a-5d0c-854e-bdca1663c893"
+version = "0.1.0"
 
 [[deps.Base64]]
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 
-[[deps.Bzip2_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "19a35467a82e236ff51bc17a3a44b69ef35185a2"
-uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0"
-version = "1.0.8+0"
+[[deps.BinDeps]]
+deps = ["Libdl", "Pkg", "SHA", "URIParser", "Unicode"]
+git-tree-sha1 = "1289b57e8cf019aede076edab0587eb9644175bd"
+uuid = "9e28174c-4ba2-5203-b857-d8d62c4213ee"
+version = "1.0.2"
+
+[[deps.Blink]]
+deps = ["Base64", "BinDeps", "Distributed", "JSExpr", "JSON", "Lazy", "Logging", "MacroTools", "Mustache", "Mux", "Reexport", "Sockets", "WebIO", "WebSockets"]
+git-tree-sha1 = "08d0b679fd7caa49e2bca9214b131289e19808c0"
+uuid = "ad839575-38b3-5650-b840-f874b8c74a25"
+version = "0.12.5"
 
 [[deps.CSV]]
 deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings"]
@@ -54,35 +36,11 @@ git-tree-sha1 = "9519274b50500b8029973d241d32cfbf0b127d97"
 uuid = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 version = "0.10.2"
 
-[[deps.Cairo_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"]
-git-tree-sha1 = "4b859a208b2397a7a623a03449e4636bdb17bcf2"
-uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a"
-version = "1.16.1+1"
-
 [[deps.Chain]]
 git-tree-sha1 = "339237319ef4712e6e5df7758d0bccddf5c237d9"
 uuid = "8be319e6-bccf-4806-a6f7-6fae938471bc"
 version = "0.4.10"
 
-[[deps.ChainRulesCore]]
-deps = ["Compat", "LinearAlgebra", "SparseArrays"]
-git-tree-sha1 = "f9982ef575e19b0e5c7a98c6e75ee496c0f73a93"
-uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
-version = "1.12.0"
-
-[[deps.ChangesOfVariables]]
-deps = ["ChainRulesCore", "LinearAlgebra", "Test"]
-git-tree-sha1 = "bf98fa45a0a4cee295de98d4c1462be26345b9a1"
-uuid = "9e997f8a-9a97-42d5-a9f1-ce6bfc15e2c0"
-version = "0.1.2"
-
-[[deps.Clustering]]
-deps = ["Distances", "LinearAlgebra", "NearestNeighbors", "Printf", "SparseArrays", "Statistics", "StatsBase"]
-git-tree-sha1 = "75479b7df4167267d75294d14b58244695beb2ac"
-uuid = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"
-version = "0.14.2"
-
 [[deps.CodecZlib]]
 deps = ["TranscodingStreams", "Zlib_jll"]
 git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da"
@@ -117,12 +75,6 @@ version = "3.41.0"
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
 
-[[deps.Contour]]
-deps = ["StaticArrays"]
-git-tree-sha1 = "9f02045d934dc030edad45944ea80dbd1f0ebea7"
-uuid = "d38c429a-6771-53c6-b99e-75d170b6e991"
-version = "0.5.7"
-
 [[deps.Crayons]]
 git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
 uuid = "a8cc5b0e-0ffa-5ad4-8c14-923d3ee1735f"
@@ -156,12 +108,6 @@ git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6"
 uuid = "e2d170a0-9d28-54be-80f0-106bbe20a464"
 version = "1.0.0"
 
-[[deps.DataValues]]
-deps = ["DataValueInterfaces", "Dates"]
-git-tree-sha1 = "d88a19299eba280a6d062e135a43f00323ae70bf"
-uuid = "e7dc6d0d-1eca-5fa6-8ad6-5aecde8b7ea5"
-version = "0.4.13"
-
 [[deps.Dates]]
 deps = ["Printf"]
 uuid = "ade2ca70-3891-5945-98fb-dc099432e06a"
@@ -170,28 +116,10 @@ uuid = "ade2ca70-3891-5945-98fb-dc099432e06a"
 deps = ["Mmap"]
 uuid = "8bb1440f-4735-579b-a4ab-409b98df4dab"
 
-[[deps.DensityInterface]]
-deps = ["InverseFunctions", "Test"]
-git-tree-sha1 = "80c3e8639e3353e5d2912fb3a1916b8455e2494b"
-uuid = "b429d917-457f-4dbc-8f4c-0cc954292b1d"
-version = "0.4.0"
-
-[[deps.Distances]]
-deps = ["LinearAlgebra", "SparseArrays", "Statistics", "StatsAPI"]
-git-tree-sha1 = "3258d0659f812acde79e8a74b11f17ac06d0ca04"
-uuid = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
-version = "0.10.7"
-
 [[deps.Distributed]]
 deps = ["Random", "Serialization", "Sockets"]
 uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 
-[[deps.Distributions]]
-deps = ["ChainRulesCore", "DensityInterface", "FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SparseArrays", "SpecialFunctions", "Statistics", "StatsBase", "StatsFuns", "Test"]
-git-tree-sha1 = "38012bf3553d01255e83928eec9c998e19adfddf"
-uuid = "31c24e10-a181-5473-b8eb-7969acd0382f"
-version = "0.25.48"
-
 [[deps.DocStringExtensions]]
 deps = ["LibGit2"]
 git-tree-sha1 = "b19534d1895d702889b219c382a6e18010797f0b"
@@ -202,53 +130,14 @@ version = "0.8.6"
 deps = ["ArgTools", "LibCURL", "NetworkOptions"]
 uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 
-[[deps.EarCut_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "3f3a2501fa7236e9b911e0f7a588c657e822bb6d"
-uuid = "5ae413db-bbd1-5e63-b57d-d24a61df00f5"
-version = "2.2.3+0"
-
-[[deps.Expat_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "ae13fcbc7ab8f16b0856729b050ef0c446aa3492"
-uuid = "2e619515-83b5-522b-bb60-26c02a35a201"
-version = "2.4.4+0"
-
-[[deps.FFMPEG]]
-deps = ["FFMPEG_jll"]
-git-tree-sha1 = "b57e3acbe22f8484b4b5ff66a7499717fe1a9cc8"
-uuid = "c87230d0-a227-11e9-1b43-d7ebe4e7570a"
-version = "0.4.1"
-
-[[deps.FFMPEG_jll]]
-deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "Pkg", "Zlib_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"]
-git-tree-sha1 = "d8a578692e3077ac998b50c0217dfd67f21d1e5f"
-uuid = "b22a6f82-2f65-5046-a5b2-351ab43fb4e5"
-version = "4.4.0+0"
-
-[[deps.FFTW]]
-deps = ["AbstractFFTs", "FFTW_jll", "LinearAlgebra", "MKL_jll", "Preferences", "Reexport"]
-git-tree-sha1 = "463cb335fa22c4ebacfd1faba5fde14edb80d96c"
-uuid = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
-version = "1.4.5"
-
-[[deps.FFTW_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "c6033cc3892d0ef5bb9cd29b7f2f0331ea5184ea"
-uuid = "f5851436-0d7a-5f13-b9de-f02708fd171a"
-version = "3.3.10+0"
-
 [[deps.FilePathsBase]]
 deps = ["Compat", "Dates", "Mmap", "Printf", "Test", "UUIDs"]
 git-tree-sha1 = "04d13bfa8ef11720c24e4d840c0033d145537df7"
 uuid = "48062228-2e41-5def-b9a4-89aafe57970f"
 version = "0.9.17"
 
-[[deps.FillArrays]]
-deps = ["LinearAlgebra", "Random", "SparseArrays", "Statistics"]
-git-tree-sha1 = "deed294cde3de20ae0b2e0355a6c4e1c6a5ceffc"
-uuid = "1a297f60-69ca-5386-bcde-b61e274b549b"
-version = "0.12.8"
+[[deps.FileWatching]]
+uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee"
 
 [[deps.FixedPointNumbers]]
 deps = ["Statistics"]
@@ -256,92 +145,33 @@ git-tree-sha1 = "335bfdceacc84c5cdf16aadc768aa5ddfc5383cc"
 uuid = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
 version = "0.8.4"
 
-[[deps.Fontconfig_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Expat_jll", "FreeType2_jll", "JLLWrappers", "Libdl", "Libuuid_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "21efd19106a55620a188615da6d3d06cd7f6ee03"
-uuid = "a3f928ae-7b40-5064-980b-68af3947d34b"
-version = "2.13.93+0"
-
 [[deps.Formatting]]
 deps = ["Printf"]
 git-tree-sha1 = "8339d61043228fdd3eb658d86c926cb282ae72a8"
 uuid = "59287772-0a20-5a39-b81b-1366585eb4c0"
 version = "0.4.2"
 
-[[deps.FreeType2_jll]]
-deps = ["Artifacts", "Bzip2_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "87eb71354d8ec1a96d4a7636bd57a7347dde3ef9"
-uuid = "d7e528f0-a631-5988-bf34-fe36492bcfd7"
-version = "2.10.4+0"
-
-[[deps.FriBidi_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "aa31987c2ba8704e23c6c8ba8a4f769d5d7e4f91"
-uuid = "559328eb-81f9-559d-9380-de523a88c83c"
-version = "1.0.10+0"
+[[deps.FunctionalCollections]]
+deps = ["Test"]
+git-tree-sha1 = "04cb9cfaa6ba5311973994fe3496ddec19b6292a"
+uuid = "de31a74c-ac4f-5751-b3fd-e18cd04993ca"
+version = "0.5.0"
 
 [[deps.Future]]
 deps = ["Random"]
 uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820"
 
-[[deps.GLFW_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Pkg", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll"]
-git-tree-sha1 = "51d2dfe8e590fbd74e7a842cf6d13d8a2f45dc01"
-uuid = "0656b61e-2033-5cc2-a64a-77c0f6c09b89"
-version = "3.3.6+0"
-
-[[deps.GR]]
-deps = ["Base64", "DelimitedFiles", "GR_jll", "HTTP", "JSON", "Libdl", "LinearAlgebra", "Pkg", "Printf", "Random", "RelocatableFolders", "Serialization", "Sockets", "Test", "UUIDs"]
-git-tree-sha1 = "4a740db447aae0fbeb3ee730de1afbb14ac798a1"
-uuid = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
-version = "0.63.1"
-
-[[deps.GR_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Pkg", "Qt5Base_jll", "Zlib_jll", "libpng_jll"]
-git-tree-sha1 = "aa22e1ee9e722f1da183eb33370df4c1aeb6c2cd"
-uuid = "d2c73de3-f751-5644-a686-071e5b155ba9"
-version = "0.63.1+0"
-
-[[deps.GeometryBasics]]
-deps = ["EarCut_jll", "IterTools", "LinearAlgebra", "StaticArrays", "StructArrays", "Tables"]
-git-tree-sha1 = "58bcdf5ebc057b085e58d95c138725628dd7453c"
-uuid = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
-version = "0.4.1"
-
-[[deps.Gettext_jll]]
-deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "XML2_jll"]
-git-tree-sha1 = "9b02998aba7bf074d14de89f9d37ca24a1a0b046"
-uuid = "78b55507-aeef-58d4-861c-77aaff3498b1"
-version = "0.21.0+0"
-
-[[deps.Glib_jll]]
-deps = ["Artifacts", "Gettext_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Libiconv_jll", "Libmount_jll", "PCRE_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "a32d672ac2c967f3deb8a81d828afc739c838a06"
-uuid = "7746bdde-850d-59dc-9ae8-88ece973131d"
-version = "2.68.3+2"
-
-[[deps.Graphite2_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "344bf40dcab1073aca04aa0df4fb092f920e4011"
-uuid = "3b182d85-2403-5c21-9c21-1e1f0cc25472"
-version = "1.3.14+0"
-
-[[deps.Grisu]]
-git-tree-sha1 = "53bb909d1151e57e2484c3d1b53e19552b887fb2"
-uuid = "42e2da0e-8278-4e71-bc24-59509adca0fe"
-version = "1.0.2"
-
 [[deps.HTTP]]
 deps = ["Base64", "Dates", "IniFile", "Logging", "MbedTLS", "NetworkOptions", "Sockets", "URIs"]
 git-tree-sha1 = "0fa77022fe4b511826b39c894c90daf5fce3334a"
 uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3"
 version = "0.9.17"
 
-[[deps.HarfBuzz_jll]]
-deps = ["Artifacts", "Cairo_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "Graphite2_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg"]
-git-tree-sha1 = "129acf094d168394e80ee1dc4bc06ec835e510a3"
-uuid = "2e76f6c2-a576-52d4-95c1-20adfe4de566"
-version = "2.8.1+1"
+[[deps.Hiccup]]
+deps = ["MacroTools", "Test"]
+git-tree-sha1 = "6187bb2d5fcbb2007c39e7ac53308b0d371124bd"
+uuid = "9fb69e20-1954-56bb-a84f-559cc56a8ff7"
+version = "0.2.2"
 
 [[deps.IniFile]]
 deps = ["Test"]
@@ -355,43 +185,15 @@ git-tree-sha1 = "61feba885fac3a407465726d0c330b3055df897f"
 uuid = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48"
 version = "1.1.2"
 
-[[deps.IntelOpenMP_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "d979e54b71da82f3a65b62553da4fc3d18c9004c"
-uuid = "1d5cc7b8-4909-519e-a0f8-d0f5ad9712d0"
-version = "2018.0.3+2"
-
 [[deps.InteractiveUtils]]
 deps = ["Markdown"]
 uuid = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
 
-[[deps.Interpolations]]
-deps = ["AxisAlgorithms", "ChainRulesCore", "LinearAlgebra", "OffsetArrays", "Random", "Ratios", "Requires", "SharedArrays", "SparseArrays", "StaticArrays", "WoodburyMatrices"]
-git-tree-sha1 = "b15fc0a95c564ca2e0a7ae12c1f095ca848ceb31"
-uuid = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
-version = "0.13.5"
-
-[[deps.InverseFunctions]]
-deps = ["Test"]
-git-tree-sha1 = "a7254c0acd8e62f1ac75ad24d5db43f5f19f3c65"
-uuid = "3587e190-3f89-42d0-90ee-14403ec27112"
-version = "0.1.2"
-
 [[deps.InvertedIndices]]
 git-tree-sha1 = "bee5f1ef5bf65df56bdd2e40447590b272a5471f"
 uuid = "41ab1584-1d38-5bbf-9106-f11c6c58b48f"
 version = "1.1.0"
 
-[[deps.IrrationalConstants]]
-git-tree-sha1 = "7fd44fd4ff43fc60815f8e764c0f352b83c49151"
-uuid = "92d709cd-6900-40b7-9082-c6be49f344b6"
-version = "0.1.1"
-
-[[deps.IterTools]]
-git-tree-sha1 = "fa6287a4469f5e048d763df38279ee729fbd44e5"
-uuid = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
-version = "1.4.0"
-
 [[deps.IteratorInterfaceExtensions]]
 git-tree-sha1 = "a3f24677c21f5bbe9d2a714f95dcd58337fb2856"
 uuid = "82899510-4779-5014-852e-03e436cf321d"
@@ -403,50 +205,34 @@ git-tree-sha1 = "abc9885a7ca2052a736a600f7fa66209f96506e1"
 uuid = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"
 version = "1.4.1"
 
+[[deps.JSExpr]]
+deps = ["JSON", "MacroTools", "Observables", "WebIO"]
+git-tree-sha1 = "bd6c034156b1e7295450a219c4340e32e50b08b1"
+uuid = "97c1335a-c9c5-57fe-bc5d-ec35cebe8660"
+version = "0.5.3"
+
 [[deps.JSON]]
 deps = ["Dates", "Mmap", "Parsers", "Unicode"]
 git-tree-sha1 = "3c837543ddb02250ef42f4738347454f95079d4e"
 uuid = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 version = "0.21.3"
 
-[[deps.JpegTurbo_jll]]
+[[deps.Kaleido_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b53380851c6e6664204efb2e62cd24fa5c47e4ba"
-uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8"
-version = "2.1.2+0"
-
-[[deps.KernelDensity]]
-deps = ["Distributions", "DocStringExtensions", "FFTW", "Interpolations", "StatsBase"]
-git-tree-sha1 = "591e8dc09ad18386189610acafb970032c519707"
-uuid = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
-version = "0.6.3"
-
-[[deps.LAME_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "f6250b16881adf048549549fba48b1161acdac8c"
-uuid = "c1c5ebd0-6772-5130-a774-d5fcae4a789d"
-version = "3.100.1+0"
-
-[[deps.LZO_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "e5b909bcf985c5e2605737d2ce278ed791b89be6"
-uuid = "dd4b983a-f0e5-5f8d-a1b7-129d4a5fb1ac"
-version = "2.10.1+0"
+git-tree-sha1 = "2ef87eeaa28713cb010f9fb0be288b6c1a4ecd53"
+uuid = "f7e6163d-2fa5-5f23-b69c-1db539e41963"
+version = "0.1.0+0"
 
 [[deps.LaTeXStrings]]
 git-tree-sha1 = "f2355693d6778a178ade15952b7ac47a4ff97996"
 uuid = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
 version = "1.3.0"
 
-[[deps.Latexify]]
-deps = ["Formatting", "InteractiveUtils", "LaTeXStrings", "MacroTools", "Markdown", "Printf", "Requires"]
-git-tree-sha1 = "a8f4f279b6fa3c3c4f1adadd78a621b13a506bce"
-uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
-version = "0.15.9"
-
-[[deps.LazyArtifacts]]
-deps = ["Artifacts", "Pkg"]
-uuid = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
+[[deps.Lazy]]
+deps = ["MacroTools"]
+git-tree-sha1 = "1370f8202dac30758f3c345f9909b97f53d87d3f"
+uuid = "50d2b5c4-7a5e-59d5-8109-a42b560f39c0"
+version = "0.15.1"
 
 [[deps.LibCURL]]
 deps = ["LibCURL_jll", "MozillaCACerts_jll"]
@@ -467,73 +253,13 @@ uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8"
 [[deps.Libdl]]
 uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 
-[[deps.Libffi_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "0b4a5d71f3e5200a7dff793393e09dfc2d874290"
-uuid = "e9f186c6-92d2-5b65-8a66-fee21dc1b490"
-version = "3.2.2+1"
-
-[[deps.Libgcrypt_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgpg_error_jll", "Pkg"]
-git-tree-sha1 = "64613c82a59c120435c067c2b809fc61cf5166ae"
-uuid = "d4300ac3-e22c-5743-9152-c294e39db1e4"
-version = "1.8.7+0"
-
-[[deps.Libglvnd_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll", "Xorg_libXext_jll"]
-git-tree-sha1 = "7739f837d6447403596a75d19ed01fd08d6f56bf"
-uuid = "7e76a0d4-f3c7-5321-8279-8d96eeed0f29"
-version = "1.3.0+3"
-
-[[deps.Libgpg_error_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "c333716e46366857753e273ce6a69ee0945a6db9"
-uuid = "7add5ba3-2f88-524e-9cd5-f83b8a55f7b8"
-version = "1.42.0+0"
-
-[[deps.Libiconv_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "42b62845d70a619f063a7da093d995ec8e15e778"
-uuid = "94ce4f54-9a6c-5748-9c1c-f9c7231a4531"
-version = "1.16.1+1"
-
-[[deps.Libmount_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "9c30530bf0effd46e15e0fdcf2b8636e78cbbd73"
-uuid = "4b2f31a3-9ecc-558c-b454-b3730dcb73e9"
-version = "2.35.0+0"
-
-[[deps.Libtiff_jll]]
-deps = ["Artifacts", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Pkg", "Zlib_jll", "Zstd_jll"]
-git-tree-sha1 = "340e257aada13f95f98ee352d316c3bed37c8ab9"
-uuid = "89763e89-9b03-5906-acba-b20f662cd828"
-version = "4.3.0+0"
-
-[[deps.Libuuid_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "7f3efec06033682db852f8b3bc3c1d2b0a0ab066"
-uuid = "38a345b3-de98-5d2b-a5d3-14cd9215e700"
-version = "2.36.0+0"
-
 [[deps.LinearAlgebra]]
 deps = ["Libdl", "libblastrampoline_jll"]
 uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 
-[[deps.LogExpFunctions]]
-deps = ["ChainRulesCore", "ChangesOfVariables", "DocStringExtensions", "InverseFunctions", "IrrationalConstants", "LinearAlgebra"]
-git-tree-sha1 = "e5718a00af0ab9756305a0392832c8952c7426c1"
-uuid = "2ab3a3ac-af41-5b50-aa03-7779005ae688"
-version = "0.3.6"
-
 [[deps.Logging]]
 uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
 
-[[deps.MKL_jll]]
-deps = ["Artifacts", "IntelOpenMP_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "Pkg"]
-git-tree-sha1 = "5455aef09b40e5020e1520f551fa3135040d4ed0"
-uuid = "856f044c-d86e-5d09-b602-aeab76dc8ba7"
-version = "2021.1.1+2"
-
 [[deps.MacroTools]]
 deps = ["Markdown", "Random"]
 git-tree-sha1 = "3d3e902b31198a27340d0bf00d6ac452866021cf"
@@ -554,11 +280,6 @@ version = "1.0.3"
 deps = ["Artifacts", "Libdl"]
 uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
 
-[[deps.Measures]]
-git-tree-sha1 = "e498ddeee6f9fdb4551ce855a46f54dbd900245f"
-uuid = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
-version = "0.3.1"
-
 [[deps.Missings]]
 deps = ["DataAPI"]
 git-tree-sha1 = "bf210ce90b6c9eed32d25dbcae1ebc565df2687f"
@@ -571,22 +292,17 @@ uuid = "a63ad114-7e13-5084-954f-fe012c677804"
 [[deps.MozillaCACerts_jll]]
 uuid = "14a3606d-f60d-562e-9121-12d972cd8159"
 
-[[deps.MultivariateStats]]
-deps = ["Arpack", "LinearAlgebra", "SparseArrays", "Statistics", "StatsBase"]
-git-tree-sha1 = "6d019f5a0465522bbfdd68ecfad7f86b535d6935"
-uuid = "6f286f6a-111f-5878-ab1e-185364afe411"
-version = "0.9.0"
-
-[[deps.NaNMath]]
-git-tree-sha1 = "b086b7ea07f8e38cf122f5016af580881ac914fe"
-uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
-version = "0.3.7"
+[[deps.Mustache]]
+deps = ["Printf", "Tables"]
+git-tree-sha1 = "21d7a05c3b94bcf45af67beccab4f2a1f4a3c30a"
+uuid = "ffc61752-8dc7-55ee-8c37-f3e9cdd09e70"
+version = "1.0.12"
 
-[[deps.NearestNeighbors]]
-deps = ["Distances", "StaticArrays"]
-git-tree-sha1 = "16baacfdc8758bc374882566c9187e785e85c2f0"
-uuid = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
-version = "0.4.9"
+[[deps.Mux]]
+deps = ["AssetRegistry", "Base64", "HTTP", "Hiccup", "Pkg", "Sockets", "WebSockets"]
+git-tree-sha1 = "82dfb2cead9895e10ee1b0ca37a01088456c4364"
+uuid = "a975b10e-0019-58db-a62f-e48ff68538c9"
+version = "0.7.6"
 
 [[deps.NetworkOptions]]
 uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
@@ -596,60 +312,20 @@ git-tree-sha1 = "fe29afdef3d0c4a8286128d4e45cc50621b1e43d"
 uuid = "510215fc-4207-5dde-b226-833fc4488ee2"
 version = "0.4.0"
 
-[[deps.OffsetArrays]]
-deps = ["Adapt"]
-git-tree-sha1 = "043017e0bdeff61cfbb7afeb558ab29536bbb5ed"
-uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
-version = "1.10.8"
-
-[[deps.Ogg_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "887579a3eb005446d514ab7aeac5d1d027658b8f"
-uuid = "e7412a2a-1a6e-54c0-be00-318e2571c051"
-version = "1.3.5+1"
-
 [[deps.OpenBLAS_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "Libdl"]
 uuid = "4536629a-c528-5b80-bd46-f80d51c5b363"
 
-[[deps.OpenLibm_jll]]
-deps = ["Artifacts", "Libdl"]
-uuid = "05823500-19ac-5b8b-9628-191a04bc5112"
-
-[[deps.OpenSSL_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "648107615c15d4e09f7eca16307bc821c1f718d8"
-uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "1.1.13+0"
-
-[[deps.OpenSpecFun_jll]]
-deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "13652491f6856acfd2db29360e1bbcd4565d04f1"
-uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
-version = "0.5.5+0"
-
-[[deps.Opus_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "51a08fb14ec28da2ec7a927c4337e4332c2a4720"
-uuid = "91d4177d-7536-5919-b921-800302f37372"
-version = "1.3.2+0"
-
 [[deps.OrderedCollections]]
 git-tree-sha1 = "85f8e6578bf1f9ee0d11e7bb1b1456435479d47c"
 uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 version = "1.4.1"
 
-[[deps.PCRE_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b2a7af664e098055a7529ad1a900ded962bca488"
-uuid = "2f80f16e-611a-54ab-bc61-aa92de5b98fc"
-version = "8.44.0+0"
-
-[[deps.PDMats]]
-deps = ["LinearAlgebra", "SparseArrays", "SuiteSparse"]
-git-tree-sha1 = "ee26b350276c51697c9c2d88a072b339f9f03d73"
-uuid = "90014a1f-27ba-587c-ab20-58faa44d9150"
-version = "0.11.5"
+[[deps.Parameters]]
+deps = ["OrderedCollections", "UnPack"]
+git-tree-sha1 = "34c0e9ad262e5f7fc75b10a9952ca7692cfc5fbe"
+uuid = "d96e819e-fc66-5662-9728-84c9c7592b0a"
+version = "0.12.3"
 
 [[deps.Parsers]]
 deps = ["Dates"]
@@ -657,33 +333,27 @@ git-tree-sha1 = "13468f237353112a01b2d6b32f3d0f80219944aa"
 uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
 version = "2.2.2"
 
-[[deps.Pixman_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b4f5d02549a10e20780a24fce72bea96b6329e29"
-uuid = "30392449-352a-5448-841d-b1acce4e97dc"
-version = "0.40.1+0"
+[[deps.Pidfile]]
+deps = ["FileWatching", "Test"]
+git-tree-sha1 = "1be8660b2064893cd2dae4bd004b589278e4440d"
+uuid = "fa939f87-e72e-5be4-a000-7fc836dbe307"
+version = "1.2.0"
 
 [[deps.Pkg]]
 deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"]
 uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 
-[[deps.PlotThemes]]
-deps = ["PlotUtils", "Requires", "Statistics"]
-git-tree-sha1 = "a3a964ce9dc7898193536002a6dd892b1b5a6f1d"
-uuid = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
-version = "2.0.1"
+[[deps.PlotlyBase]]
+deps = ["ColorSchemes", "Dates", "DelimitedFiles", "DocStringExtensions", "JSON", "LaTeXStrings", "Logging", "Parameters", "Pkg", "REPL", "Requires", "Statistics", "UUIDs"]
+git-tree-sha1 = "180d744848ba316a3d0fdf4dbd34b77c7242963a"
+uuid = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
+version = "0.8.18"
 
-[[deps.PlotUtils]]
-deps = ["ColorSchemes", "Colors", "Dates", "Printf", "Random", "Reexport", "Statistics"]
-git-tree-sha1 = "6f1b25e8ea06279b5689263cc538f51331d7ca17"
-uuid = "995b91a9-d308-5afd-9ec6-746e21dbc043"
-version = "1.1.3"
-
-[[deps.Plots]]
-deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "GeometryBasics", "JSON", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "PlotThemes", "PlotUtils", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "UUIDs", "UnicodeFun", "Unzip"]
-git-tree-sha1 = "1d0a11654dbde41dc437d6733b68ce4b28fbe866"
-uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-version = "1.25.9"
+[[deps.PlotlyJS]]
+deps = ["Base64", "Blink", "DelimitedFiles", "JSExpr", "JSON", "Kaleido_jll", "Markdown", "Pkg", "PlotlyBase", "REPL", "Reexport", "Requires", "WebIO"]
+git-tree-sha1 = "53d6325e14d3bdb85fd387a085075f36082f35a3"
+uuid = "f0f68f2c-4968-5e81-91da-67840de0976a"
+version = "0.18.8"
 
 [[deps.PooledArrays]]
 deps = ["DataAPI", "Future"]
@@ -707,18 +377,6 @@ version = "1.3.1"
 deps = ["Unicode"]
 uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 
-[[deps.Qt5Base_jll]]
-deps = ["Artifacts", "CompilerSupportLibraries_jll", "Fontconfig_jll", "Glib_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "OpenSSL_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libxcb_jll", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_keysyms_jll", "Xorg_xcb_util_renderutil_jll", "Xorg_xcb_util_wm_jll", "Zlib_jll", "xkbcommon_jll"]
-git-tree-sha1 = "ad368663a5e20dbb8d6dc2fddeefe4dae0781ae8"
-uuid = "ea2cea3b-5b76-57ae-a6ef-0a8af62496e1"
-version = "5.15.3+0"
-
-[[deps.QuadGK]]
-deps = ["DataStructures", "LinearAlgebra"]
-git-tree-sha1 = "78aadffb3efd2155af139781b8a8df1ef279ea39"
-uuid = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
-version = "2.4.2"
-
 [[deps.REPL]]
 deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"]
 uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
@@ -727,61 +385,20 @@ uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
 deps = ["SHA", "Serialization"]
 uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 
-[[deps.Ratios]]
-deps = ["Requires"]
-git-tree-sha1 = "01d341f502250e81f6fec0afe662aa861392a3aa"
-uuid = "c84ed2f1-dad5-54f0-aa8e-dbefe2724439"
-version = "0.4.2"
-
-[[deps.RecipesBase]]
-git-tree-sha1 = "6bf3f380ff52ce0832ddd3a2a7b9538ed1bcca7d"
-uuid = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
-version = "1.2.1"
-
-[[deps.RecipesPipeline]]
-deps = ["Dates", "NaNMath", "PlotUtils", "RecipesBase"]
-git-tree-sha1 = "37c1631cb3cc36a535105e6d5557864c82cd8c2b"
-uuid = "01d81517-befc-4cb6-b9ec-a95719d0359c"
-version = "0.5.0"
-
 [[deps.Reexport]]
 git-tree-sha1 = "45e428421666073eab6f2da5c9d310d99bb12f9b"
 uuid = "189a3867-3050-52da-a836-e630ba90ab69"
 version = "1.2.2"
 
-[[deps.RelocatableFolders]]
-deps = ["SHA", "Scratch"]
-git-tree-sha1 = "cdbd3b1338c72ce29d9584fdbe9e9b70eeb5adca"
-uuid = "05181044-ff0b-4ac5-8273-598c1e38db00"
-version = "0.1.3"
-
 [[deps.Requires]]
 deps = ["UUIDs"]
 git-tree-sha1 = "838a3a4188e2ded87a4f9f184b4b0d78a1e91cb7"
 uuid = "ae029012-a4dd-5104-9daa-d747884805df"
 version = "1.3.0"
 
-[[deps.Rmath]]
-deps = ["Random", "Rmath_jll"]
-git-tree-sha1 = "bf3188feca147ce108c76ad82c2792c57abe7b1f"
-uuid = "79098fc4-a85e-5d69-aa6a-4863f24498fa"
-version = "0.7.0"
-
-[[deps.Rmath_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "68db32dff12bb6127bac73c209881191bf0efbb7"
-uuid = "f50d1b31-88e8-58de-be2c-1cc44531875f"
-version = "0.3.0+0"
-
 [[deps.SHA]]
 uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
 
-[[deps.Scratch]]
-deps = ["Dates"]
-git-tree-sha1 = "0b4b7f1393cff97c33891da2a0bf69c6ed241fda"
-uuid = "6c6a2e73-6563-6170-7368-637461726353"
-version = "1.1.0"
-
 [[deps.SentinelArrays]]
 deps = ["Dates", "Random"]
 git-tree-sha1 = "6a2f7d70512d205ca8c7ee31bfa9f142fe74310c"
@@ -795,12 +412,6 @@ uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 deps = ["Distributed", "Mmap", "Random", "Serialization"]
 uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
 
-[[deps.Showoff]]
-deps = ["Dates", "Grisu"]
-git-tree-sha1 = "91eddf657aca81df9ae6ceb20b959ae5653ad1de"
-uuid = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
-version = "1.0.3"
-
 [[deps.Sockets]]
 uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
 
@@ -814,65 +425,14 @@ version = "1.0.1"
 deps = ["LinearAlgebra", "Random"]
 uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 
-[[deps.SpecialFunctions]]
-deps = ["ChainRulesCore", "IrrationalConstants", "LogExpFunctions", "OpenLibm_jll", "OpenSpecFun_jll"]
-git-tree-sha1 = "8d0c8e3d0ff211d9ff4a0c2307d876c99d10bdf1"
-uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
-version = "2.1.2"
-
-[[deps.StaticArrays]]
-deps = ["LinearAlgebra", "Random", "Statistics"]
-git-tree-sha1 = "a635a9333989a094bddc9f940c04c549cd66afcf"
-uuid = "90137ffa-7385-5640-81b9-e52037218182"
-version = "1.3.4"
-
 [[deps.Statistics]]
 deps = ["LinearAlgebra", "SparseArrays"]
 uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
-[[deps.StatsAPI]]
-git-tree-sha1 = "d88665adc9bcf45903013af0982e2fd05ae3d0a6"
-uuid = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
-version = "1.2.0"
-
-[[deps.StatsBase]]
-deps = ["DataAPI", "DataStructures", "LinearAlgebra", "LogExpFunctions", "Missings", "Printf", "Random", "SortingAlgorithms", "SparseArrays", "Statistics", "StatsAPI"]
-git-tree-sha1 = "118e8411d506d583fbbcf4f3a0e3c5a9e83370b8"
-uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
-version = "0.33.15"
-
-[[deps.StatsFuns]]
-deps = ["ChainRulesCore", "InverseFunctions", "IrrationalConstants", "LogExpFunctions", "Reexport", "Rmath", "SpecialFunctions"]
-git-tree-sha1 = "f35e1879a71cca95f4826a14cdbf0b9e253ed918"
-uuid = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
-version = "0.9.15"
-
-[[deps.StatsPlots]]
-deps = ["AbstractFFTs", "Clustering", "DataStructures", "DataValues", "Distributions", "Interpolations", "KernelDensity", "LinearAlgebra", "MultivariateStats", "Observables", "Plots", "RecipesBase", "RecipesPipeline", "Reexport", "StatsBase", "TableOperations", "Tables", "Widgets"]
-git-tree-sha1 = "4d9c69d65f1b270ad092de0abe13e859b8c55cad"
-uuid = "f3b207a7-027a-5e70-b257-86293d7955fd"
-version = "0.14.33"
-
-[[deps.StructArrays]]
-deps = ["Adapt", "DataAPI", "StaticArrays", "Tables"]
-git-tree-sha1 = "d21f2c564b21a202f4677c0fba5b5ee431058544"
-uuid = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
-version = "0.6.4"
-
-[[deps.SuiteSparse]]
-deps = ["Libdl", "LinearAlgebra", "Serialization", "SparseArrays"]
-uuid = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9"
-
 [[deps.TOML]]
 deps = ["Dates"]
 uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
 
-[[deps.TableOperations]]
-deps = ["SentinelArrays", "Tables", "Test"]
-git-tree-sha1 = "e383c87cf2a1dc41fa30c093b2a19877c83e1bc1"
-uuid = "ab02a1b2-a7df-11e8-156e-fb1833f50b87"
-version = "1.2.0"
-
 [[deps.TableTraits]]
 deps = ["IteratorInterfaceExtensions"]
 git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39"
@@ -899,6 +459,12 @@ git-tree-sha1 = "216b95ea110b5972db65aa90f88d8d89dcb8851c"
 uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
 version = "0.9.6"
 
+[[deps.URIParser]]
+deps = ["Unicode"]
+git-tree-sha1 = "53a9f49546b8d2dd2e688d216421d050c9a31d0d"
+uuid = "30578b45-9adc-5946-b283-645ec420af67"
+version = "0.4.1"
+
 [[deps.URIs]]
 git-tree-sha1 = "97bbe755a53fe859669cd907f2d96aee8d2c1355"
 uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
@@ -908,226 +474,46 @@ version = "1.3.0"
 deps = ["Random", "SHA"]
 uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
+[[deps.UnPack]]
+git-tree-sha1 = "387c1f73762231e86e0c9c5443ce3b4a0a9a0c2b"
+uuid = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
+version = "1.0.2"
+
 [[deps.Unicode]]
 uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
 
-[[deps.UnicodeFun]]
-deps = ["REPL"]
-git-tree-sha1 = "53915e50200959667e78a92a418594b428dffddf"
-uuid = "1cfade01-22cf-5700-b092-accc4b62d6e1"
-version = "0.4.1"
-
-[[deps.Unzip]]
-git-tree-sha1 = "34db80951901073501137bdbc3d5a8e7bbd06670"
-uuid = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
-version = "0.1.2"
-
-[[deps.Wayland_jll]]
-deps = ["Artifacts", "Expat_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg", "XML2_jll"]
-git-tree-sha1 = "3e61f0b86f90dacb0bc0e73a0c5a83f6a8636e23"
-uuid = "a2964d1f-97da-50d4-b82a-358c7fce9d89"
-version = "1.19.0+0"
-
-[[deps.Wayland_protocols_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "66d72dc6fcc86352f01676e8f0f698562e60510f"
-uuid = "2381bf8a-dfd0-557d-9999-79630e7b1b91"
-version = "1.23.0+0"
-
 [[deps.WeakRefStrings]]
 deps = ["DataAPI", "InlineStrings", "Parsers"]
 git-tree-sha1 = "c69f9da3ff2f4f02e811c3323c22e5dfcb584cfa"
 uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5"
 version = "1.4.1"
 
+[[deps.WebIO]]
+deps = ["AssetRegistry", "Base64", "Distributed", "FunctionalCollections", "JSON", "Logging", "Observables", "Pkg", "Random", "Requires", "Sockets", "UUIDs", "WebSockets", "Widgets"]
+git-tree-sha1 = "5fe32e4086d49f7ab9b087296742859f3ae6d62a"
+uuid = "0f1e0344-ec1d-5b48-a673-e5cf874b6c29"
+version = "0.8.16"
+
+[[deps.WebSockets]]
+deps = ["Base64", "Dates", "HTTP", "Logging", "Sockets"]
+git-tree-sha1 = "f91a602e25fe6b89afc93cf02a4ae18ee9384ce3"
+uuid = "104b5d7c-a370-577a-8038-80a2059c5097"
+version = "1.5.9"
+
 [[deps.Widgets]]
 deps = ["Colors", "Dates", "Observables", "OrderedCollections"]
 git-tree-sha1 = "505c31f585405fc375d99d02588f6ceaba791241"
 uuid = "cc8bc4a8-27d6-5769-a93b-9d913e69aa62"
 version = "0.6.5"
 
-[[deps.WoodburyMatrices]]
-deps = ["LinearAlgebra", "SparseArrays"]
-git-tree-sha1 = "de67fa59e33ad156a590055375a30b23c40299d3"
-uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6"
-version = "0.5.5"
-
-[[deps.XML2_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "1acf5bdf07aa0907e0a37d3718bb88d4b687b74a"
-uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a"
-version = "2.9.12+0"
-
-[[deps.XSLT_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgcrypt_jll", "Libgpg_error_jll", "Libiconv_jll", "Pkg", "XML2_jll", "Zlib_jll"]
-git-tree-sha1 = "91844873c4085240b95e795f692c4cec4d805f8a"
-uuid = "aed1982a-8fda-507f-9586-7b0439959a61"
-version = "1.1.34+0"
-
-[[deps.Xorg_libX11_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll", "Xorg_xtrans_jll"]
-git-tree-sha1 = "5be649d550f3f4b95308bf0183b82e2582876527"
-uuid = "4f6342f7-b3d2-589e-9d20-edeb45f2b2bc"
-version = "1.6.9+4"
-
-[[deps.Xorg_libXau_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4e490d5c960c314f33885790ed410ff3a94ce67e"
-uuid = "0c0b7dd1-d40b-584c-a123-a41640f87eec"
-version = "1.0.9+4"
-
-[[deps.Xorg_libXcursor_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXfixes_jll", "Xorg_libXrender_jll"]
-git-tree-sha1 = "12e0eb3bc634fa2080c1c37fccf56f7c22989afd"
-uuid = "935fb764-8cf2-53bf-bb30-45bb1f8bf724"
-version = "1.2.0+4"
-
-[[deps.Xorg_libXdmcp_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4fe47bd2247248125c428978740e18a681372dd4"
-uuid = "a3789734-cfe1-5b06-b2d0-1dd0d9d62d05"
-version = "1.1.3+4"
-
-[[deps.Xorg_libXext_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "b7c0aa8c376b31e4852b360222848637f481f8c3"
-uuid = "1082639a-0dae-5f34-9b06-72781eeb8cb3"
-version = "1.3.4+4"
-
-[[deps.Xorg_libXfixes_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "0e0dc7431e7a0587559f9294aeec269471c991a4"
-uuid = "d091e8ba-531a-589c-9de9-94069b037ed8"
-version = "5.0.3+4"
-
-[[deps.Xorg_libXi_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXfixes_jll"]
-git-tree-sha1 = "89b52bc2160aadc84d707093930ef0bffa641246"
-uuid = "a51aa0fd-4e3c-5386-b890-e753decda492"
-version = "1.7.10+4"
-
-[[deps.Xorg_libXinerama_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll"]
-git-tree-sha1 = "26be8b1c342929259317d8b9f7b53bf2bb73b123"
-uuid = "d1454406-59df-5ea1-beac-c340f2130bc3"
-version = "1.1.4+4"
-
-[[deps.Xorg_libXrandr_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll"]
-git-tree-sha1 = "34cea83cb726fb58f325887bf0612c6b3fb17631"
-uuid = "ec84b674-ba8e-5d96-8ba1-2a689ba10484"
-version = "1.5.2+4"
-
-[[deps.Xorg_libXrender_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "19560f30fd49f4d4efbe7002a1037f8c43d43b96"
-uuid = "ea2f1a96-1ddc-540d-b46f-429655e07cfa"
-version = "0.9.10+4"
-
-[[deps.Xorg_libpthread_stubs_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "6783737e45d3c59a4a4c4091f5f88cdcf0908cbb"
-uuid = "14d82f49-176c-5ed1-bb49-ad3f5cbd8c74"
-version = "0.1.0+3"
-
-[[deps.Xorg_libxcb_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "XSLT_jll", "Xorg_libXau_jll", "Xorg_libXdmcp_jll", "Xorg_libpthread_stubs_jll"]
-git-tree-sha1 = "daf17f441228e7a3833846cd048892861cff16d6"
-uuid = "c7cfdc94-dc32-55de-ac96-5a1b8d977c5b"
-version = "1.13.0+3"
-
-[[deps.Xorg_libxkbfile_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "926af861744212db0eb001d9e40b5d16292080b2"
-uuid = "cc61e674-0454-545c-8b26-ed2c68acab7a"
-version = "1.1.0+4"
-
-[[deps.Xorg_xcb_util_image_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"]
-git-tree-sha1 = "0fab0a40349ba1cba2c1da699243396ff8e94b97"
-uuid = "12413925-8142-5f55-bb0e-6d7ca50bb09b"
-version = "0.4.0+1"
-
-[[deps.Xorg_xcb_util_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll"]
-git-tree-sha1 = "e7fd7b2881fa2eaa72717420894d3938177862d1"
-uuid = "2def613f-5ad1-5310-b15b-b15d46f528f5"
-version = "0.4.0+1"
-
-[[deps.Xorg_xcb_util_keysyms_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"]
-git-tree-sha1 = "d1151e2c45a544f32441a567d1690e701ec89b00"
-uuid = "975044d2-76e6-5fbe-bf08-97ce7c6574c7"
-version = "0.4.0+1"
-
-[[deps.Xorg_xcb_util_renderutil_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"]
-git-tree-sha1 = "dfd7a8f38d4613b6a575253b3174dd991ca6183e"
-uuid = "0d47668e-0667-5a69-a72c-f761630bfb7e"
-version = "0.3.9+1"
-
-[[deps.Xorg_xcb_util_wm_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"]
-git-tree-sha1 = "e78d10aab01a4a154142c5006ed44fd9e8e31b67"
-uuid = "c22f9ab0-d5fe-5066-847c-f4bb1cd4e361"
-version = "0.4.1+1"
-
-[[deps.Xorg_xkbcomp_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxkbfile_jll"]
-git-tree-sha1 = "4bcbf660f6c2e714f87e960a171b119d06ee163b"
-uuid = "35661453-b289-5fab-8a00-3d9160c6a3a4"
-version = "1.4.2+4"
-
-[[deps.Xorg_xkeyboard_config_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xkbcomp_jll"]
-git-tree-sha1 = "5c8424f8a67c3f2209646d4425f3d415fee5931d"
-uuid = "33bec58e-1273-512f-9401-5d533626f822"
-version = "2.27.0+4"
-
-[[deps.Xorg_xtrans_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "79c31e7844f6ecf779705fbc12146eb190b7d845"
-uuid = "c5fb5394-a638-5e4d-96e5-b29de1b5cf10"
-version = "1.4.0+3"
-
 [[deps.Zlib_jll]]
 deps = ["Libdl"]
 uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
 
-[[deps.Zstd_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "e45044cd873ded54b6a5bac0eb5c971392cf1927"
-uuid = "3161d3a3-bdf6-5164-811a-617609db77b4"
-version = "1.5.2+0"
-
-[[deps.libass_jll]]
-deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "HarfBuzz_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "5982a94fcba20f02f42ace44b9894ee2b140fe47"
-uuid = "0ac62f75-1d6f-5e53-bd7c-93b484bb37c0"
-version = "0.15.1+0"
-
 [[deps.libblastrampoline_jll]]
 deps = ["Artifacts", "Libdl", "OpenBLAS_jll"]
 uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"
 
-[[deps.libfdk_aac_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "daacc84a041563f965be61859a36e17c4e4fcd55"
-uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280"
-version = "2.0.2+0"
-
-[[deps.libpng_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "94d180a6d2b5e55e447e2d27a29ed04fe79eb30c"
-uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f"
-version = "1.6.38+0"
-
-[[deps.libvorbis_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"]
-git-tree-sha1 = "b910cb81ef3fe6e78bf6acee440bda86fd6ae00c"
-uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a"
-version = "1.3.7+1"
-
 [[deps.nghttp2_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
@@ -1135,21 +521,3 @@ uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
 [[deps.p7zip_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
-
-[[deps.x264_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4fea590b89e6ec504593146bf8b988b2c00922b2"
-uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a"
-version = "2021.5.5+0"
-
-[[deps.x265_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "ee567a171cce03570d77ad3a43e90218e38937a9"
-uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76"
-version = "3.5.0+0"
-
-[[deps.xkbcommon_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"]
-git-tree-sha1 = "ece2350174195bb31de1a63bea3a41ae1aa593b6"
-uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd"
-version = "0.9.1+5"
diff --git a/orbital-debris-research/directed-study/report-1/prep/Project.toml b/orbital-debris-research/directed-study/report-1/prep/Project.toml
index 6b7253644..6f3fa8044 100644
--- a/orbital-debris-research/directed-study/report-1/prep/Project.toml
+++ b/orbital-debris-research/directed-study/report-1/prep/Project.toml
@@ -2,5 +2,4 @@
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
+PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
diff --git a/orbital-debris-research/directed-study/report-1/prep/prep.jl b/orbital-debris-research/directed-study/report-1/prep/prep.jl
index f818b9285..f97a97f2e 100644
--- a/orbital-debris-research/directed-study/report-1/prep/prep.jl
+++ b/orbital-debris-research/directed-study/report-1/prep/prep.jl
@@ -2,13 +2,14 @@ using DataFrames
 using LinearAlgebra
 using CSV
 using DataFramesMeta
-using Plots
-using StatsPlots
+# using Plots
+# using StatsPlots
+using PlotlyJS
 
 begin
     df = CSV.read("compiled.csv", DataFrame)
 
-    df.bb_volume = df.bb_length .* df.bb_width .* df.bb_height
+    df.box = df.bb_length .* df.bb_width .* df.bb_height
 
 
     @eachrow! df begin
@@ -33,7 +34,7 @@ begin
     # Convert material to scalar
     begin
         kv = Dict(reverse.(enumerate(Set(df.material_name))))
-        mats = []
+        mats = [] |> Vector{Int}
         for material in df.material_name
             push!(mats, kv[material])
         end
@@ -41,20 +42,28 @@ begin
     end
 
     # Remove columns not needed for analysis
-    df = df[!, [:mass, :volume, :density, :area, :bb_volume, :Ibar]]
+    # df = df[!, [:mass, :volume, :density, :area, :bb_volume, :Ibar, :material_index]]
 
     # Remove outliers
-    df = df[df.bb_volume.<1e6, :]
+    df = df[df.box.<1e6, :]
     df = df[df.mass.<1000, :]
 end
 
-@df df cornerplot(cols(1:4), compact = true)
+# @df df cornerplot(cols(1:7), compact = true)
 
 # plot(df.mass)
 # histogram(df.mass)
-scatter(df.mass, df.volume)
+# scatter(df.mass, df.Ibar)
 
+features = [:mass, :volume, :density, :area, :box, :Ibar]
 
+plot(df, dimensions = features, kind = "splom", Layout(title = "Raw Data"))
 
+corner(df)
 
-CSV.write("prepped.csv", df)
\ No newline at end of file
+CSV.write("prepped.csv", df)
+
+
+df = dataset(DataFrame, "iris")
+features = [:sepal_width, :sepal_length, :petal_width, :petal_length]
+plot(df, dimensions = features, color = :species, kind = "splom")
\ No newline at end of file
diff --git a/orbital-debris-research/directed-study/report-1/prepped.png b/orbital-debris-research/directed-study/report-1/prepped.png
new file mode 100644
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-- 
2.51.2


From 35359633f9651ad19af054e03bced4c074f8ab28 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Mon, 14 Feb 2022 21:49:15 -0700
Subject: [PATCH 09/12] rough draft complete

---
 .../directed-study/report-1/README.md         |  63 +++-
 .../directed-study/report-1/README.pdf        | Bin 0 -> 1244664 bytes
 .../directed-study/report-1/clusters.svg      | 295 ++++++++++++++++++
 .../directed-study/report-1/prep/prep.jl      |  21 +-
 .../directed-study/report-1/prepped.png       | Bin 76118 -> 0 bytes
 .../directed-study/report-1/prepped.svg       |   1 +
 .../report-1/prepped_clustered.svg            |   1 +
 .../directed-study/report-1/process.mlx       | Bin 19465 -> 61151 bytes
 8 files changed, 355 insertions(+), 26 deletions(-)
 create mode 100644 orbital-debris-research/directed-study/report-1/README.pdf
 create mode 100644 orbital-debris-research/directed-study/report-1/clusters.svg
 delete mode 100644 orbital-debris-research/directed-study/report-1/prepped.png
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped.svg
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped_clustered.svg

diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index 6144b540e..ac48d354f 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1,17 +1,20 @@
 ---
-title: "Machine Learning Methods for Orbital Debris Characterization"
-description: |
-  A short description of the post.
-author:
-  - name: Anson Biggs
-    url: https://ansonbiggs.com
-date: 2022-02-13
-output:
-  distill::distill_article:
-    self_contained: false
-draft: true
+title: "Machine Learning Methods for Orbital Debris Characterization: Report 1"
+# description: |
+#   A short description of the post.
+author: Anson Biggs
+# author:
+# - name: Anson Biggs
+# url: https://ansonbiggs.com
+date: 2022-02-14
+# output:
+#   distill::distill_article:
+#     self_contained: false
+# draft: true
 ---
 
+## Gathering Data
+
 To get started on the project before any scans of the real debris are made available I opted to find similar 3D models online and to process them as if they were data collected by my team. GrabCad is an excellent source of high quality 3D models and all of the models have at worst a non-commercial license making them suitable for this study. To start I downloaded a high quality model of a 6U CubeSat, which coincidentally enough was designed for detection of orbital debris. This model consists of 48 individual parts most of which are unique.
 
 ![CubeSat Used for Analysis](assembly.jpg)
@@ -32,6 +35,40 @@ Physical
 ...
 ```
 
-The full file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data but most of the columns are unsuitable for characterization of 3D geometry. Its important that the only properties considered are scalars that are independent of a models orientation of position in space. Part of the data provided was a moment of inertia tensor. This was computed down to $I_x$, $I_y$, and $I_z$, which was then used to compute an $\bar{I}$. Then bounding box length, width, and height were used to compute a total volume that the object takes up. In the end the only properties used in the analysis of the parts were: mass, volume, density, area,bounding box volume, $\bar{I}$. Some parts also had to be removed due to being outliers to the final dataset is 44 rows and 6 columns.
+The full file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data but most of the columns are unsuitable for characterization of 3D geometry. Its important that the only properties considered are scalars that are independent of a models orientation of position in space. Part of the data provided was a moment of inertia tensor. This was computed down to $I_x$, $I_y$, and $I_z$, which was then used to compute an $\bar{I}$. Then bounding box length, width, and height were used to compute a total volume that the object takes up. In the end the only properties used in the analysis of the parts were: mass, volume, density, area,bounding box volume, $\bar{I}$. Some parts also had to be removed due to being outliers to the final dataset is 44 rows and 6 columns. Below is a splom plot which is a great way to visualize data of high dimensions. As you can see most of the properties correlate with one another.
+
+![Data before clustering](prepped.svg)
+
+Now that the data is processed and clean characterization in Matlab can begin. The original idea was to perform _PCA_, but the method had difficulties producing meaninful results. This is likely due the dataset being very small for machine learning, and that the variation in the data is high. Application of _PCA_ will be visited again once the dataset grows. The first step for characterization is importing our data into Matlab.
+
+```m
+data = readmatrix('prepped.csv');
+```
+
+Next _k-means_ will be used to cluster the data. Since it is hard to represent data in higher dimensions than two only two columns of data will be provided for the clustering. For now I think it makes most intuitive sense to treat volume and mass as the most important columns, and the volume vs mass plot shows 3 fairly distinct groups.
+
+```m
+[idx,C] = kmeans(data(:,1:2),3);
+```
+
+We can look at the distribution of parts in each cluster to ensure that the each cluster has a good amount of data. Since _k-means_ is an iterative method, relies on a user guess, and randomness its important to make sure that the clusters make some sense.
+
+```m
+histcounts(idx) =
+
+    22    13     9
+```
+
+Then we plotting Volume vs. Mass using our clusters we get the following plot. These make intuitive sense, but it is clear that the dataset needs much more data for <strong style="color:#00ff00;">Cluster 3</strong>.
+
+![Volume and Mass clusters](clusters.svg)
+
+Below is all of the data clustered. Since the _k-means_ only used Mass and Volume to come up with its clusters some of the properties do not cluster well against eachother. This is also a powerful cursory glance at what properties are correlated.
+
+![Clusters for all data](prepped_clustered.svg)
+
+## Next Steps
+
+The current dataset needs to be grown in both the amount of data aswell ass the variety of data. The most glaring issue with the current dataset is that there are only two different material types. Modern satellites, and therefore their debris, are composed of dozens of unique materials. The other and harder to fix issue is finding more properties of the data. Properties such as cross sectional are or aerodynamic drag would be very insightful but at the moment there is no good way to collect that data. Thankfully with the 3D scanner methods to obtain more properties can be developed and then applied over the entire dataset.
 
-![Data before PCA](prepped.png)
+Once the dataset is grown more advanced analysis can begin. PCA is the current goal, and can hopefully be applied by the next report.
diff --git a/orbital-debris-research/directed-study/report-1/README.pdf b/orbital-debris-research/directed-study/report-1/README.pdf
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diff --git a/orbital-debris-research/directed-study/report-1/prep/prep.jl b/orbital-debris-research/directed-study/report-1/prep/prep.jl
index f97a97f2e..17a91c6da 100644
--- a/orbital-debris-research/directed-study/report-1/prep/prep.jl
+++ b/orbital-debris-research/directed-study/report-1/prep/prep.jl
@@ -41,29 +41,24 @@ begin
         df.material_index = mats
     end
 
-    # Remove columns not needed for analysis
-    # df = df[!, [:mass, :volume, :density, :area, :bb_volume, :Ibar, :material_index]]
-
     # Remove outliers
     df = df[df.box.<1e6, :]
     df = df[df.mass.<1000, :]
 end
 
 # @df df cornerplot(cols(1:7), compact = true)
+features = [:mass, :volume, :density, :area, :box, :Ibar, :material_index]
+
+p1 = plot(df, dimensions = features, kind = "splom", Layout(title = "Raw Data"))
 
-# plot(df.mass)
-# histogram(df.mass)
-# scatter(df.mass, df.Ibar)
+CSV.write("prepped.csv", df)
 
-features = [:mass, :volume, :density, :area, :box, :Ibar]
+df.cluster = [1, 3, 2, 1, 2, 1, 1, 3, 1, 3, 2, 3, 1, 1, 2, 2, 1, 3, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 2, 1, 1, 2, 2, 3, 3, 2, 2, 2, 1,] # From matlab kmeans idx
 
-plot(df, dimensions = features, kind = "splom", Layout(title = "Raw Data"))
 
-corner(df)
+p2 = plot(df, dimensions = features, color = :cluster, kind = "splom", Layout(title = "Clustered Data"))
 
-CSV.write("prepped.csv", df)
 
 
-df = dataset(DataFrame, "iris")
-features = [:sepal_width, :sepal_length, :petal_width, :petal_length]
-plot(df, dimensions = features, color = :species, kind = "splom")
\ No newline at end of file
+savefig(p1, "prepped.svg", width = 1000, height = 1000)
+savefig(p2, "prepped_clustered.svg", width = 1000, height = 1000)
diff --git a/orbital-debris-research/directed-study/report-1/prepped.png b/orbital-debris-research/directed-study/report-1/prepped.png
deleted file mode 100644
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IynteVTo2LuJ0VWHOHqEvvqn5bDgt/uJDX/razGSB6OwQM06ncOjU4NxZOJLRDFzFqCaBBx/EBAQj0RMBIO8PEVLkk9sk/IcPO6+M9SQiDBlqgspru0pVv2j5nwZ5pdVY7ZmyMpwOdfB8ld3HafanC8l9HlMx8jZ3T/qqPGBooVdgw3R8R0RNXDTFRqaRox0yMsu/ZuwYGwKY9Ekil5bQyu78+8jNOPmfn42/pUUoYtkGBVEoGywn3D0c26bJjatfnT8PTQxrExOYNCaBBb4gLG0MAAu0UqDxb9HfTdHwl5upBehALrrRTN5qxKgv37CvNHuPFE3twWXsw57hy6fb6ETq2rM7oJy0d2JXNsu8Cf8GsoPtZVRoBZ3D22IFice/NNy/f0/0MMGJnBIRTV9CK8uzsokEl8SDuWe6McqejVi53V4qzRy2OJf6ABUk7rY34FQE06DgOIAABCEAAAhCAAAQgAAEIQAACARBAgx6ASUAKEIAABCAAAQhAAAIQgAAEIAABNOg4BiAAAQhAAAIQgAAEIAABCEAAAgEQQIMegElAChCAAAQgAAEIQAACEIAABCAAATToOAYgAIG2CCQzs68SUt5HQjEi2n7uGdqGSy5hty3BEQQCRGQYMkSLS2PkyQpi2a8runnzKP8GOL0XSJnFC8ukXFjJRCXv9jErfns7s8pmRb//0fI68bznM/PP9KNiW7dkeV87x2hfLFGSpnMVMZ0vRDOqW/7o2JbBu/zipzbJmZ7nDouQrlLpk2OW/7btyxGROilw6abpE11Pu5REjldU5d9OXKZ+HougNie+YYMsdmLutUL0VBbaVUpoV09cxw82F63xvd47Iqc6nmOR8CJS+BHaF0vZNu9uPBL2gED9AmjQ67fClhCAgI+AYRYrj786de5/D4p2bD7PlUeU4A8CLQmsN4trPeJ/mRuEifIFSzdbCo6dWxIw0s4MMSWOCCI0a+f1gZYCH9w5uXHmFFHUeT/EeMLn35rXvtGOMdoVY80a0ZeudItV4t1jW/qz5/67YTpfI6KXHfHvTDvtnL66XTkhTncFjIz7fhL54JxRZVC0Aazi3thcJNPui4Xlm/Pe95kyhZxuNRat8a2TpmMJUXrungrJO7ZZ8Tsaj4g9IFCfABr0+pywFQQg4CNwSVpOL7H7U5//9mxLV4EHgVYFDNMRvxgXnKfF1q7lcqtjYP/GBQzTsYlo2GfPcdvSjcajHrnHcNrxmKs/daaQ0xRm9j02Wh270f2HM85DLHRstf3KCp09MapXnnl+4M8w3T8nki9XHUP47+y89k+Njo/teytQeRxXecb1e379D21Lf05vMwzX6LXe91cNaWonr0q44w5R77zL9X1EpG3p6KHCdTiFKlscXKGaLiQLgeAJJDPF20X4nX6Z4UMseHMWtoySGTlOxPW9pFEhftE2S/t22OqKQr6G6ZaJRKleC3u2pbX0A926rCTU3e6MnxWzdnwhxw8FxbJWQ0FEH7ct/aInG3Sn8sPm6T65u7al60GpC3nUJ2CMlN5NnncbPg/r86q11boRWa567h6/bWIiZ2zNx3/W+kjVI6w33Rd6JN/yix8vaUu2bAnqbTadUkHcbgmgQe+WNMaBQEQFkqb7GSF5C76QRHSCA1BWypTVZXJ3+KUiCr9qfFT7jwCk2ncpLNCQUqs/0F15pSza47i+95p7sdLqW28Y3BkU+FoeTPypgqWteaJBzzi/I6FVPrmLbek+P3wEpVrkMVdgfcbZ4AndhM/D1o+NdFqOmWb3Yb9ITHROwdK/3/pI1SMMj7ivZE++6hdfHdCWj13Dezs1PuL2twAa9P6ef1QPgZYF1mdKb/PE+xS+kLRMiQC+AqI8fqa2+h/OZPTu0DFM54dE9Kc+GfzItvSzW8tO2DBdzy/GqiFNy2bZ9zLU1sZufO+k6bhCBxbKnP/HstbOxScP/YdhulcSyXXVNhWSz45b8bc2ngH26KVA8ko5RRzXb+HKfbalL+llfuEau/ZrvzylDUxM8GynaqosTleMuY/5f7fRFKLg3F7TKQfE7Y0AGvTeuGNUCERKwDCdSvM072yPIvKubfn4JyJVLIrpiYBhuncSyaurdD0P2JZ2Yk+SwqBUY1E0mtqlxScn2WmVKTlSeqd43vxV4ZmvsXPaX7Uav537G+ZjzyKK3zs3JhOVCpauHfnvBxqQyoJyc/6daFC0BBYUa+fMdC+WYTo/IKJ5P0yp4j11LJ/Y3r1Mwj+SkSnlSbyNVSr5X9vS/6zTFRqm+3siOaHK585XbEu7oNPjI37/CqBB79+5R+UQaKvAnJXcRTzldeM3xqovgNTWkRGsXwSGM8WPsPDVh+pl4s8XLO3N/VJ/UOtMpWSwnDhw1vC4gzk+pM5qp46N8XS7ch4ecV/AHn2ZSJYRcZEVvrAwGvtMu+K3M876y2af7qnqj4nk4Mr2fLdtac+vNsaaNaIuOd75OPMT63h8fUrVXje5mX3vu29nrojVGYGDK7n/I9GBxQ23a6r20ls28+87M1q0ow5nnPUstPWgJTHzdYWcdlW3qk6a7ueE5E2HxhOWa8Zz8UD9MNgtC4zTPQE06N2zxkgQgAAEIAABCEAAAhCAAAQgAAFfATToODggAIGeCxiZ4hoSzjPRUiK6fe8ubUM7Lo3teWF9lkDlcudlK90tRHShEE0RS/rwe277jCPU5T5+Zte9gZmSxDzNIlcVLP3WUBcVweSHR0qvYU/GiORoIvrcUlUb3oyz712faSPjvoREJojoBBK5Uwb0d41fy773L3c9QQwIgRAKDG/cfwIr2r8Q0blM9MuyyF/c2sGV+4NEhAY9SLOBXCDQhwLDGec/Wejlc0tXZ7VF7bxEtg9pu1rywcuc988dVJi+Np7TX9HVZDBYSwKplGjlhDvv3nERuXc8Hz+rpeDYuW0Chul8koj+Yl5AVVthb+bdbRsIgWoKGKYzSkSZuRuxaKsKeb4ffBCAQOMCF5vuC5Vqj7kTMuy8Pt54xHDtgQY9XPOFbCEQKYENm+SpxbL7q2pFidAPxvP6cyNVcISLGU4732em51QrMa5qT9uymX8d4fIjVZphul8gkjdUKyqm0vO2bta/F6mCQ1jMuvfJ8WrR3VU9db7ftjS/x7eFsNrgppxKPTBYThw974fJgxnvty19cXCzR2YQCK5ArUdWrhrS1GyWfZ/uEdyq6s8MDXr9VtgSAhBos0ByxP1b8eSf/MK2+gzlNqeLcDUEaj7/WeH3F0a1DwEwHAK1n+Wt5AtWzAxHJdHN0hgpJcnztuG9s7dzPLzJOYfL9F2/LAo5TWHGo7h6O0sYPWwCflfkHapDEtqJ49fyA2Grq5F80aA3ooVtIQCBtgqgQW8rZ0+DoUHvKX9bB0eD3lbOjgRDg94R1oaDokFvmAw7QGBBATTojz/+AX8QgAAEeiKAS9x7wt6RQXGJe0dYexIUl7j3hL2hQXGJe0NcHdsYl7h3jBaB+1wAl7j3+QGA8iEAgd4KYJG43vq3a3QsEtcuyd7HwSJxvZ+DejLAInH1KHV+GywS13ljjNB/Algkrv/mHBVDAAIBE8Bj1gI2IU2mg8esNQkXwN3wmLUATkqVlPCYtWDMEx6zFox5QBbREsBj1qI1n6gGAhCAAAQgAAEIQAACEIAABCAQOgHcgx66KUPCEIAABCAAAQhAAAIQgAAEIBBFATToUZxV1AQBCEAAAhCAAAQgAAEIQAACoRNAgx66KUPCEIAABCAAAQhAAAIQgAAEIBBFATToUZxV1ASBBQQqqzTPLCV9dgfNTk5yGWAQCIvAHXeI+sW7KTEw9X1nbOwcN4h5r1v324Sux5WtW1fOMLMEMUfk1B4BvJe2xzFMUbJZ0R8gip1ANJvNshem3JFrcwKp1Pe0maXP1d9wLs2uXYvvTM0pYq9GBNCgN6KFbSEQcoHHH4VVeoBIlj1ZCn/VtrRXh7w0pB95AWEj7d5NTOccduzuUmdjJ42NcSAa9eG082xm+tHhU8FCmwp5fTTy09NnBeK9tM8mnIjWbZDj1Zj7eyJSDqv+ZtvSN/SfRn9U/PgjJ0s7iGTlExULfc/Oa+cS4cfX/jgKelMlGvTeuGNUCPREwMi4RRLR5w/Ok7alre1JUhgUAnUIGKbz30R0XpVNH7Et/eg6QnR0kw0bHl5cjC1/rNogzPzqQk77akcTWCB45cqDO79Dyy54Ae3FGaDWZ8IwnSIRzXsvZZLPFqz4W1sfARGCJJDNirJzt1v1ajNhvmo8p13X3nxFee97adkfE/fPTm5eNdPe2IhWr4BhOn8kohVVtr/LtvQX1xsH20GgUQE06I2KYXsIhFDgorRztsb0g1qpF3KagstxQzi5fZByNiuxnbtd37PkktCWjl/LVZvjbvEMp50cM5k+403blr6oW7nMHccwnXmX2duWjs//Jifk4rQco7D7cM3dFeX19mjsX5scArsFTCA5MvNy8dT/9Eurna8nI+NOkciSw8dyhZ5zW17/YcBYIp3O8FWyhGfdKb8iVw1pKm5xiPQh0NPi8AHdU34MDoFuCIhmmK6z0EirhjQtm+XSQtvh/yHQbYGFvihpSvmUW0YH7ut2XoePN5wu3sPMZ3bjC3wjdVZrzg/t386mopGcwr5talPxzHKZ71mojjNO1gYvv5xx9nMhqBD8v5FxNpHQDZ1+fQ+bzsNMdEy1cWxLixHh/uduHS6Xjsyc7Hrqb/3GGxQtkc9z5Uoa/EGg7QJo0NtOioAQCJbAcKZ4Owu/c6GscAZ9ISH8f68EUh+RZeUH3Ef9xi8LvWAir/9Pr/KrjBvEM+gXbZo+USvH7vdzcdXSU27bPFi5pxZ/DQjUdQadiES8L4/nE69tIDQ2DahAt86g1/pBjcgbsa1ELqBEkUtrXdr5M5XpO76fO0PawESWZyNXOAoKhAAa9EBMA5KAQOcEkhnn6yJ0fu0RcA9652YAkVsVMEbcF5End/nFUYjeu83Sb2l1nFb2D+I96Ml06e3C3qRfXSzKmkI+9qlW6u7Xff3uQT/cg4m+UbD0Bd57+1UwXHV34x70A+tE3OX6XsXGxNmCpf1DuOTCm+1607nUI7rZrwKVSieNWYO/C2+FyDzIAmjQgzw7yA0CbRAwMu6/kchr/ENhFfc2MCNEBwUWOhNM5L3GthL/3sEU6godtFXc1404f6p65HvfalmhsydG9SNWna+rUGxE1VdxPxKGmb9WyGmvAFc0BLqxinvNM+gK/409qv1/0dAMfhWGOfvnRMqX/TKdlceWfSK/wvce9eBXiAyDLIAGPcizg9wg0AaBd6X2r4wntAd8Qolt6Yc/MqYNIyIEBNovEKZ7qVOp3ctmtVjs1GOW7On1IkJhcmv/UdP5iIbpVNb30KqNpCja2dtGGT+AdH4aujrChg2yuDRAiT3Ppz2TbX4mtmE6leeqV/1uPuNOD91+8/I9XS22zwfD+2efHwA9LB8Neg/xMTQEuiVgpIt3EvO8Z51jkahuzQDGaVUglZLV5YS7Y24cheXt23LxT7caP6r7r8s4z1OF7p5bX5np3Imc/t2o1t3Nuny+xP/EtnTfRQO7mR/GCpdA1eNJ5Ct2Pn5BuCoJf7brM8W3ecLzbgNSZ7WTxsYYl7eHf4oDWwEa9MBODRKDQHsFslnRd+4pXiykLqWSe9f4TYO+i5+0d2REg0D7BNZnSm/0RP6EhXcW8rFPti9ytCM9fj+6nMrCv8F95+2fayPtnE3MryCW6akHtFsnJ7F6e/uV+yfi8GXTL6CYdh5TeWrVUfFbs1le8Eks/aPT/UqT6dI7hWWVwvyLbbnYF7qfAUbsNwE06P0246gXAhCAAAQgAAEIQAACEIAABAIpgAY9kNOCpCAAAQhAAAIQgAAEIAABCECg3wTQoPfbjKNeCEAAAhCAAAQgAAEIQAACEAikABr0QE4LkoIABCAAAQhAAAIQgAAEIACBfhNAg95vM456IQABCEAAAhCAAAQgAAEIQCCQAmjQAzktSAoCEIAABCAAAQhAAAIQgAAE+rGAmdwAACAASURBVE0ADXq/zTjqhQAEIAABCEAAAhCAAAQgAIFACqBBD+S0ICkIQAACEIAABCAAAQhAAAIQ6DcBNOj9NuOoFwIQgAAEIAABCEAAAhCAAAQCKYAGPZDTgqQgcKTAmqzoZxB52SyXYAOBfhYQETZN0lesIDebZa+fLRaq/ZCVZZHDzLLQ9vh/CARVIOiv+2xWdMJndFAPn5bzymZFeeQR0vBe2jIlAtQpgAa9TihsBoFeCBiZ4tUk/JHDx/akeMat+SU/60U+GBMCvRQwTKdy3D/zyRz4EduKHUuERn3uvBhmcScRP+XJf5f7bSu+qpfzh7Eh0IxAkF/3ybRzvTBdcaguERKFSqsL+cH7m6kV+wRNQBTDLD1MJCsOy+zntqWfHrRMkU+0BNCgR2s+UU2EBJKmkxKirdVKKk9pAxMTPBuhclEKBGoKJE3n10J02ryNhGbtvD7Q73zvvvLBRbozZBHx64hkiIi0+SaVHzS0o/vdqhP1r99UPKNc5jEmPpWYPzXoqVfm81zsxFj9FDNor/vhTc45XKKbiflEZvq5iLy82nxccJ4WW7uWy/00V1Gs1Ug7M8SUmFsbE20vWPpTo1gzagqGABr0YMwDsoDAEQLGxuKbSeHP1mDJ2ZY+AjYI9INANiuxnbtd169Wtzx79G03LX2kHyyq1WhcNnMSqep99dSvzmqLxsZ4up5tsU19Akmz+LdC/E9zt1Y17Zixj/If64uCreYKBO11nzQdS4jS9cwUk/x1wYofcfVbPfthm+AIXHTZ1ApNTfi+flcNaSpuswrOfEUtEzToUZtR1BN6gcq9Tjt3uwv98v5V29JfHfpiUQAE6hDY8D45vlh0d/ltykIvKOT1/6kjVCQ3MUzHqX7GfH65wt6fjOcSv4wkRA+K2rDh4cXF2PLHfIbebVv64ZfG9iDD8A650OteZfqzsZz+v92oMHXF1NFlN/GHusdi+Zydi7+l7u2xYeAEkmnnz4TpO36JxYe0JVuyvC9wiSOhSAigQY/ENKKIKAmkRvavLHvaAzVrYrrdzul/GaW6UQsE/ASMTXuHqDzge4ZcVei5Y6P6D/pRcM0aUZeudOtePLLfrzZo9zGSGpl9XdlTvuQXt5DTFCzQ15x6KvXAYDlx9H7fvcvlk+2bBnY0F72xvZJm6WIhb7zevZgoX7B0s97tsV3wBFIjznPKHn3fL7Olqja4eTPPBC9zZBQFATToUZhF1BApgWR6+inCsZ21iior+0+ZGD2qrktaI4WDYvpS4OD91b5nKlhKq/p1UaY1d4i69K66G3SxLV3py4OoQ0UPm8W3MPFn0KB3BjhpOq4QxapFty29a99hjUz5EpLyLXVXqWor7M28u+7tsWHgBBb6LjY19H/xyeyzKlcv4Q8CbRfo2ptb2zNHQAhESGA442xmoTrvKZdrbSt+dYTKRykQWEBA2DBd30eqTZ2nxSYjsCBTlfeBn9iWfuZCh4dhOnU9Qi1R1o6+6Sbu23v1F3Js5P+NtHMJMS3UsLm2pVcev4W/JgVSKRksJ9zKj3NHfl/VtJPtj3JXzp5XUt+wYXpVMRb7XV1lsHe5nUtsrmtbbBRYgYV+/LQtTSHC4ysDO4EhTwwNesgnEOmHX8BIO7cR07vrqkSUN9r52Bfr2hYbQSBCAobp/IiInl2lpCnb0peFvVTf9wHmx+yctrRWfUbaOZeY5t2Ly0y3kiif8ri0Hfedt+8IqbM5JyWmPWPbDfx/7Ru5fyO9Jz17msaxZ6hSvm9rPt6Tx4wmTeerQvRK/1ng6aldsaWTk1i9PSpHqmE6e4mo2vvvj21L/9Oo1Ik6gieABj14c4KM+kqg9plBIqqsIHp05ZEeJU9eP3Fj/Bd9xYNiIUBECy2cKAlt6fi17LdQVwgMa78PMDvHF3KLH6rZpD++kvu/EVHl+bx7iPhC29L+PQTFhy7FOq5Y+D6z9rpCjmvOWegKR8JkpJ1hYrL9KOp5rYIxHALDV8kSnnWn/LLF+hLhmMewZokGPawzh7wjIZBO/yo+zSfVeJ659xrbSuBLdiRmG0U0K5DM7DtORH/Qd3+h59t5/e5m4/d6P7wP9HoG6h9fRDiZ8b/dgpnsQk5P1h8RW4ZJAK/VMM1Wa7n6XZl0KGq89OiSLVuOxSrurTFjbx8BNOg4NCDQQ4GF7nFSmM7dltO/28MUMTQEei6w0JmMMnlPn7ASv+p5ok0mgPeBJuF6tFvtM+j8IdvS3t+j1DBshwXwWu0wcIDCrzNnn6aS4nuLyqBoiXyeiwFKGalESAANeoQmE6WEU8AwncojktRq2a8a0tRsln0XxwpnxcgaAo0LGKZTeR1U/cyKwmI9eB9o/Jjo1R6G6T5IJMdVHR+rd/dqWro2Ll6rXaPu8UA1bz3CEzF6PDtRHx4NetRnGPUFXmDNpr1DS6s849kTufDWfPyTgS8ACUKgCwIbLpdVxZI7bxVllbSXj1n89S6k0NEh8D7QUd62Bs9mJfa7R1yHee4PRny9bWnva+tgCBY4AbxWAzclHUsoZcrLyuR+be4A8Zi2essNXPNxuB1LCoH7QgANel9MM4oMvoAow2n3XazQy9jjX+2NxTZPbuaZ4OeNDCHQRQER5eJMMamw8gIm/sneo2L5ySxH6Dm0eB/o4tHU8lDDG2ffqKjKG0X4QVJjN+C51y2ThigAXqshmqyWUl2TFX3ZnlJaSJ7lifedW3PxAjGubGwJFTsvKIAGfUEibAABCEAAAhCAAAQgAAEIQAACEOi8ABr0zhtjhD4XMMzSbUTeoeecT0tCe9r4tfxAn7OgfAg0LDCcnn01s1J5lJgqQsKKutHOqVsaDtSGHdaskYGlK0s7iOSYg+H+27b0l7QhNEIEVMDIlDeIV77x4KXtZRHvteP5xFcCmi7SarPAcNrJMVP64FoYRaWsnbXtJjznvs3MgQuH133gpqQvEkKD3hfTjCJ7JWCYzn4iGpw7vqfQc28d1X9Qb15bt4p290/dSiNyGjGVmLzrCrnEV+vdH9tFVyCZcS4SoYuISCGS79tWPJL3wBqmew2RXFVlJu+yLf3F3ZzhVEqWlRPuo1XHFPmyGqOrxzbH7+1mThirswKG6fw3EZ1XZZQdIrRdVejT23J6T34s6mzliF4RMEz34cN+jHsCRVW014+N8r9CKZoC/q97vta2tKujWXVwqjIMGaLFpTHyZAWx7NcV3bx5lH8TnAw7lwka9M7ZInKfCwynnXXMdKsfg23pdb3+0mk5ZporXw7m/slvbCt+Wp8z93X5hunuJ5J5PwBN5bTYJHM5Sji1Hm21akiLZ7t4L7phOrNEFK/pK/I5Ox9/y9xtjLRztqLIm8sk+yhe/sT4tYtwNU3AD9RsVvSdu916HqdUsi1dC3g5SK9BgXXmvj9XSf9yq5/lDQ6LzXsssNDrvt7vcD0uI7TDrzeLaz3if5lbABPlC5ZuhrawOhOvq0GoMxY2gwAEDgoYpvMjInp2LZB639wN06k0Wkq1WDHRztia558Bvv8Ekmbx74T4H6tVzkR7CpY+FBWVizZNn6iVY/f71cNK+WWF0YH/6la9tZ+D/WQW5SltYGKCK838gT/DLO4g4tVH5Cl0o53XK5fN4i+gAsmRmfPFU+t6UoCQfGncir8hoKUgrSYEFnq91/tZ3sTQ2KWHAgu97mflsWWfyK+Y6mGKkR661uvugvO02Nq10ToJMXcy0aBH+vBGcb0QMEwnQ0SjC41d34d6zedwErN8spCLX7jQWPj/6AkYplNZvdz3bF19x1c4XBZu0PllhVEtcA26sPem8VziCxXlZMa9VkSq3n7AXvnUwo0Dvw3HbPRflgt9UZ8rYluaQsTSf1LRq3jNGlGXrnRLtSqL0ntt9Gaw+YqSI+754onvD3No0Ju3XWjPZEaOE3Ef9NtOIX7RNkv79kJxwvz/aNDDPHvIPZACdV3+SkT1fKhns6Ls3O36XqrMxJ8tWNpbAwmBpDoqUOvKisrA9RxfHU2wjcHXrfttQl16ou9jByWhndjNhRfrfY0TyTttK/7PFYpaZwOY5SOFXPyv20iGUG0UWOhS17lDaXrxuFuuX1LltqQ2JoVQXRGoPPN+527XRYPeFe5ADTJ8lZzAs+7v/ZJaNaRp2SzX/PEmUAWFKJmUKavL5O7wS1kUftX4qPYfISqp4VTRoDdMhh0gUFtgocvhKns3skhcrXgKK2/flot9GnPSfwJGungnMb/ap3LPtnQ1KiobNsjiYsx9zK8elUonjVmDv+tWvTUXiTssCWbt+EKOH1qwQScaK1j6Jd3KH+M0LlBjkbh5wbp9PDZeDfaoV0BEOJlxPb/tmegTBUt/V73xsF14BFLm9OoyxXybxG6vfRIeuXZkKoph+p+cipe0JVu28L52jBTUGGjQgzozyCtUAgcva7/m4MJRjxDRCp8CXEloJzdytm99uviXHvP/qxIvUk1YqCY8IMn6/Xgj7P3JeC7xy4Ck2XIaC31JVmc1fWyMa57lajmJOQGqPGZt7hBF29ITh/7RMJ3Kqu7PqpqH4r3eHk1gJeh2T1Kb48153JJv9F4cj20uFeEOE0iajitEsWooUXuvxcQ/KZBKiVZOuJVbyar+FXKawoxbWTp1zBimeyeRVDkJwQ/YlnZip8YNSlw06EGZCeQRWoGaX7znVLVqSFOzWfb9Nd4PYXhj6TWseJUv8Adfs1jBPbQHTBsTXyOiLsu4fxCiow6G9YS906PUnD/Z4JZuIvI2VOG727b057eRdcFQWRHlNxvpqEUaLXNLleexO3/hEX943o5MO+2cfmBRuFRq6uhyIvGHKts4dk5L4J7lBdl7vsFVV8mSP7ruMxRP2ylcGiZP5s85EZWV/UdNjB5V/TF8Pa8CCTQqYJjFC4n4E/P34722pS1vNB62D4/AsOkUmMiYm7EQbRy39JvCU0n4Mj34vfff5tmLd9V4PnFd+CpqLGM06I15YWsIHCYgCcN0fe+LJaLKL6/6wR2+OTWkvWqyi4+CwlT1h0DSdC4W5mtJZFCECo89qF0+ORm11U1rL5Y4dZ4Wm+zSiq6G6VTuOaz79gGVSi8eswbvqhyNycy+40S0u59cyV3+dWqX/qbozVf0Xnv13Lp0qGom+kXB0p8ZPYX+rKjW3A/KjkQ+/7R6HsHXn3ghr/r882X5aWe5e+aWYVuaStT4yZaQc3Qx/eB85nex6COGQoPeK3mMG3KB2m8eh4rzRM64NR/HY9BCPtutpr8mK/oxRPqxRNPNXEHhN/5wungPM5859/+jdontu698cJHuDPneb8ZSWlXID/o+hq3V+Tu0f6PN+cH9ttiWflm7ckCc7gs00pwfyi5KizR2Xzw4I665Q9Sld/mv4q568syxG+O/CE7GyKSdArVe+3iNt1P6yFhB+czvXIULR0aDvrARtoDAEQKp1AOD5cTR++thESEZz+tVn2Fe2d8wncolUk9ctisk7xi34nfUExvb9EYgmXY/JCx/c2h0YUqN5/Rt1bIxNskQld3KZc2HHwM/tC39Oa1mn8y4rxKRr1SPw1+0Le2NrY4RlP3fNbJ/ZdzTHvDLx2PvDbfmEl/qZL7vvu7BRfpO/x8J/MZmptFCTt+0UG6NHFcLxcL/t0/gqmtkySO/dxt+1nFzX96Fk6b7cSH6y4MVCJH3WttK/Hv7KkKkRgRS5szLyqR+zX8fOdO24j9pJCa2DYfA+rT7Uo/F9/GdUydrg5OXc62rKMNRaACz3LRJBqbK7rRfauJpJ47fyL7fCQJYUsMpoUFvmAw79LtAo2dTpnZpsWqXsBoZ59sk9IK5niKUGs9Xb/j63b7X9Rvp4meJ+c1z82Divy9Y2gfn/rvvsSL0X3Zef1kr9Rim+00iebFfjOYahFYy6ty+wxtnX8OKMu9etEMjMvOVhZz20c5lUPsxabXGVVXtrLHNXFkgzvev0eOqk3Ui9pECCz0L2cfrm7alv7RRSyPt/IqYnjrvM4GVN43nYl9oNB62b10gmZl9n4hyrV8kJjqnYOnfb30kRAiaQDLjXiEi1/vlVSbv6RNW4ldByzsK+aRSMlhOuL4nwrp11VwvLdGg91IfY4dO4L0ZeYYjbkOXs1Vr0Bd6bJRtaQoWjQrW4ZFOS3ya3Vm/rOau6JoaKb2u7Hm+Z3VbbaD7q0F3zmGFvut7RDCl7Zx+Y6eOmGZe9wdz+bpt6S+vlVejx1WnakTc6gLDI+4r2ZOvNuIzNaTFG11vZKFHOrX6ftFI/tj2SYH1I+7lnie+P/6xop1eGOWfwyx6AsmMY1TWdfH9ceawx2hGr/reVrThfXJ8seju8s1C9V5jb472lUVo0Ht7DGL0kAkY5vRfEMU+WW/afpe4r99UPMMrs+9lcauGvqVlsy+rLEaFv4AIGJfNnESqep9fOnOfibreLF7jEV/lt32rC5v10yXuwyPTL2Av9m3fL0pElxQsfaxTh0qjr3si+hkRX2Fb2oKXJjd6XHWqRsStLpDMFN8lwh9fwOfHzHy0J9621UP6B5tZZyKZKb5DhP+5xvtLU08Awby2JpBMz75P2P8Mus7en9wcoUdatqYVrb2HL3eezSX6kV9V6uwfF42NneB7GXa0NLpbjWHOvIJI/Q//Ub0R20rkuptVd0dDg95db4wWcgHjcudsKtEP6i3Db5G4lCmry+TuwJexeiV7v13qCjm67B64n7zq36ohTctm+YkfVZIjxXeKx7f7bd+OqyT6ZZG4detkubp0/kq6h2xjHj1v64369zp1lDTyum90YchGj6tO1Yi41QUuHnGeo3hU8xLmdpzdXuhSejxzuTdH6PrM7Bs9UT7v36TtWz42NrS3N9lh1E4KLPQc9HZ8hncy/zDHTqannyIc2+lXQzfWnem1Hxr0Xs8Axg+dQB33oDtE/A23HHvnbTfxI9UKFBFOZlyf56HL/bYVXxU6mMgnXHPl/n22pS85gkBEMTJuuTqLbLet+Lx7TZsh7I/HrNW+B7wdDdJC9nW87mmateM/meOHFop15P83eFw1Fhxbt0Gg1twz83WFnOZ7pUy9w9dqBkToB+N5/bn1xsJ27RSo/cSWbrz3tLMaxGpMwDCLE0T8nrl7eUIbbs3rNzcWDVs3IlB7Bf3o3waKBr2RowXbQoCILjHlaSVy/68ahkray8cs/no9UEbaOZt43tl4b0rVFk9uxsqg9Rh2e5tUWk4rs/vrueOqA9rysWt43lmUSy53nl2ae4mc0F47ry/vdu5hH2/Tpp0DU+Xj5l1OGCPt6Vst7vhCPbVe9xXbRl77c+ei0eMq7HMZtvz95l6Evjee15/XrnqGTfdlTHLEiuFMNKPM3rNsbOwct13jIE5jAuvN0ls88j4zd69BeWxVPr+i4493bCxbbN1ugWR6+q0exz7JRDoR7SszvXwip/uvidLuBPo0Xjr9yFOmecm8s+gKKW/dZsU+G3UWNOhRn2HU1zGBymWv4iqnM5Wmyky/mLDiv250YbfUVtHkZ+ULxPOeWlboO7fmtLsbjdGxAhG4qkDlubiLv1V8pULK6arwd8dysW8Rs9TiGh6ZPVVEOUZ4/y8nRo96FLTNCzy+YNvM2RSL/dK+Qf9h85Ga2/Pxy91Lz1CU2C+8Mull9vY089qfO3ozx1VzFWCvZgWSpvNcT+g5Ciu/L02pX5uYYN9FI5sdI53+VXyWV7/WI15NQt+0890/xpvNPcr7HXge+reKJpNyBin0rcIN2sRC7/tR9kBtEOiKQOVq08vddeTRi4S8n069KG5NrmWfKxO7klHXBkGD3jVqDAQBCEAAAhCAAAQgAAEIQAACEPAXQIOOowMCEIAABCAAAQhAAAIQgAAEIBAAATToAZgEpAABCEAAAhCAAAQgAAEIQAACEECDjmMAAhCAAAQgAAEIQAACEIAABCAQAAE06AGYBKQAAQhAAAIQgAAEIAABCEAAAhBAg45jAAIQgAAEIAABCEAAAhCAAAQgEAABNOgBmASkAAEIQAACEIAABCAAAQhAAAIQQIOOYwACEIAABCAAAQhAAAIQgAAEIBAAATToAZgEpAABCEAAAhCAAAQgAAEIQAACEECDjmMAAhCAAAQgAAEIQAACEIAABCAQAAE06AGYBKQAAQhAAAIQgAAEIAABCEAAAhBAg45jAAIQgAAEIAABCEAAAhCAAAQgEAABNOgBmASkAAEIQAACEIAABCAAAQhAAAIQQIOOYwACEIAABCAAAQhAAAIQgAAEIBAAATToAZgEpAABCEAAAhCAAAQgAAEIQAACEECDjmMAAhCAAAQgAAEIQAACEIAABCAQAAE06AGYBKQAAQhAAAIQgAAEIAABCEAAAhBAg45jAAIQgAAEIAABCEAAAhCAAAQgEAABNOgBmASkAAEIQAACEIAABCAAAQhAAAIQQIOOYwACEIAABCAAAQhAAAIQgAAEIBAAATToAZgEpAABCEAAAhCAAAQgAAEIQAACEECDjmMAAhCAAAQgAAEIQAACEIAABCAQAAE06AGYBKQAAQhAAAIQgAAEIAABCEAAAhBAg45jIJwCIpxKO88ox9TTRPHuX71UuzebZS+cxSBrCECgLoEQvu6HN+4/gRX9LCHa5w3FvjeR5dm6asVGoRLYcLmscr3ys8okj65eHvt+NstOqApAsg0LrMtKQtldOoeJFovn3DN+46IHGg6CHQIvkM2K8rsp90z2lKeopfL2sbz+S2KWwCeOBEMtgAY91NPXn8mnrpZl5Rn30bnVq6I9dSzP2/tTBVVDINoC4XvdCxumW3k/OuWImWG61M7pW6M9W/1TXeXL+87d7sNEtOLwqoWVt4/nYp/uH4n+qtTIOJeQ0C1zqv6tbWmnEaF5i8rRkErLaWV2fz3v++aAtnzsGt4blTpRR/AE0KAHb06Q0QIChuk8RkSLq21mW5qCD0ccQhCInkDYXvdGxrmFhC6pNhMz7vTQ7Tcv3xO9Weq/ipKm+0UheX21ypeq2uDmzTzTfyrRrvjC9z561IA2uLtqlUxb7Zx+abQF+qW6Az+y+l2Zuc+29CX9IoE6uy+ABr375hixBYF0WuLT7PpeIqpq2jFjH+U/tjAEdoUABAImEMbXvWE6/pdAMqXtnH5jwJiRThMCtedZWWvnYpNNhMUuARYwMs5GEsr7pWhbOr5bB3j+6k0tdYUcXXbdP/htv2pI07JZLtUbD9tBoBEBvIk0ooVtey6wYYMsLsbcyhn06n/l8sn2TQM7ep4oEoAABNomEMbXfa3GjUU+XMjH/7ZtQAjUEwER4WTG9wwbMVOmkNOtniSHQTsmkEwXPyTMf4MGvWPEgQhsXDZzEqnqfTUa9DjWmgjEVEUyCTTokZzW6Ba10BeiQdES+TwXoyuAyiDQfwJhfN0baedRYlpWdba4/FI7N/DN/pvJ6FVsmE7lDJparTKN5MxbrPhPold1f1dkZGZeQqJ+o6qC0F47ry/vb6FoVL/QlVuFnKYwFouLxmQHsAo06AGcFKRUWyBpun8nJP84byuRz9n5+FvgBwEIRE8gbK/75EjxmeLxz6rMRNG29ET0Zqg/K1pvui/0SL5VpfpHbEs/uj9Vol+1YTqVW+3icytlRU4vjMZ/Hn2B/qjQSBc/S8xvnjfPxH9fsLQP9ocCquyFABr0XqhjzJYFhjPOehYaOxSIhT9cyGu4ZLRlWQSAQHAFwva6T2aKZ4nw3Yd9kf/mqiHtFbhvMbjHWDOZHWzSK1dEHDiTzsRfespQ7E149GczmuHYJ5uV2M7d7n8S0UsOZlxklnMLufg94agAWdYrkEy7HxKWJ25pEKbUeE7fVu/+2A4CzQigQW9GDfsERqBy6SsuMQrMdCARCHRFIGyv+8fzPdC64dm5XTlCejNI2I7L3ihFbVRhESJ8D4navM6vB6/v6M9xkCpEgx6k2UAuEIAABCAAAQhAAAIQgAAEINC3AmjQ+3bqUTgEIAABCEAAAhCAAAQgAAEIBEkADXqQZiPwuQhfeuW+YzxHTdDswK6xMXYDnzIShAAEuiqQSolGiZmVil6eveX6xX/AZd1d5W/rYJX7bHdMzaxUywPOtlF6GJfxtpW3TcGEU1fQivLs7KJBJfEgnmLSJtYmwhibZIgUWlJeQg9NZLmyiBz+IACBFgWuvFIW7SvNHuPFE3vGruG9LYYLze5o0EMzVb1NdP2I86eeRz88PAshssctPdnbzDA6BCAQFIFh0ykwkXF4PopCZ28b1X8UlByRR30CRsb9CIlcffjWnvD5t+a16o+Xqi8stmqjQCotp5XZ/fURIfE0kzYK1xcqNbJ/ZdnTHpiz9TdtS39pfRGwFQQgMFdgzZo71KUr37SdiE867P+m1VntmLExno66GBr0qM9wG+pLp38Vn+aTqv4aLEQbxy39plaHqZx123PCT3kye4aLM26tamJ/CHRfYNh0LmOiG6uNPCg7Evn804rtyCqbFeWRR0hbsYJcrJLdDtH5MZIjpbeK5326WvT4kLZkS5b3LTRy5ew7ESnZLOE9fSEsIqosQGWapD/4IJUmJ7m80C5r7hB16V1u5Rns8/7wVJOF9Nr4/yJsZFzPJ+LHbEtfd+i18IEPkIurUNpo38VQ+NzpIvbBoZKmc48QnVll5Gnb0hd1P6PujogGvbveoRzNMGfeTaTe5pe8belNH0eGKc8icu89PLZ4ymvHb4x9OZRYSBoCfSpgmE6NFcrLF9nWwMdbpRk2i19k4tcfisNE9+7d9bmzJyfXLtjQtDp2P+1vmO4skcx7xnPFgJmvLOS0j/p5JDfOnOKxup2ZnvhcYEW5sDAa+2Q/GTZSazLjfEyELjpsn/vUWe3ptW4juzgze4Eiyr934nO5kdz7fdvhETmVPXd7DYfKj1mLn3zPwvOzw3TMVM7iLlv55h8e3igKyZfGrfgbwlRH2HI9+BhD39to1QFtedQvd2+6sQrbZCPf5gWMTPEjJHzEpY6HR2u2QU9dLcvKu+s/xwAAIABJREFUM+6j1TIre/LMiRvjv2g+a+wJAQh0U6Bmg85yjZ2L/1Ur+cxtzp+MJTtsK35yK7Gx75ECtX9soXHb0o+4jeHQ3tms6Dt3u1WvlBCFXzg+qn0H1kcKDJvOViZKzXfhvbalLffzMjLOJhK6AQ16b4+oYXP6PKbYfzeSBZ6j3YhWb7c1zOJ9cy6xPpAQmvTOzsvwVbKEZ90pv1E0pXzKLaMD93U2i95GR4PeW/9QjD5sFt/CxJ/xSbZsW3rlUsaG/5IZ53YReme1HZloe8HSn9pwUOwAAQj0RMAwncrltmq1wYXkreNW/LPNJrZmjahLV1a/nLcS8yhdW3z99by/2fjY70gBw6z8cCrLqr43K8olhdHYWLX/S46UUuJ5W6t71m44+3EOKpe1J/0vjya3PHv0bTctfaSaTcp0zyuT+DaGzf5w3o/z0ErNybQ8Rdjd2WgMzE+jYt3fvrI42R7H9b2dZ9WQpuI2q87MCz7z6clL0DpDjKhREKh1r5uw96bxXOILzdQ5nHYeYqZj/fbFB1gzqtgHAr0RGM7MvpFF+Xy10afO02KTaxe+r9Yvc/ya3t05HR5xX8CefLvaqKuGtHg2y061/zNMxyaiYbyn1zdfC17GqcpZY5vjR9wC9kTkGvc+4wxtff7t2sowncqluA2dqMD3m3bpdy7OpSMzJ7ue+lu/EQZFS+CpCZ3z7/er5nAGvXPHVqQiJzNynMiBX4m1Q4W1ukCcYRa/TMR/Xg1KhB4ez+vHRQoRxUAg4gJVFopzmbVVhRw/1ErpCzYyfXA/Wit+zeybHCm9Uzzv9ife74VEkfJphRsHfL+wJjPuFSJyffXxuGhbWqKZXKK6z0Jn0Jm142u9dg7eJnY/7nHu7RGyaZMMTJVLO4jkmEOZMPNnReQt+LGqt3PTyui1bsOsxMUZ9FZ069u3n9edQYNe3zGCrQ4KrFv328Tg4Mmxm26i/a2uRnrpJjnRLbuVLxfz/ljKLynkBxq6rwuTBAEI9F6g0nRcdhktmp6+rzQxcUrbngXc7yu69mZmha+8kgb/uJjK9TzXeUNWFhd3u49VfU9XlLcVRmN+t0r1prwAjGqYzleI6FVzUxEhGc/rSj0pptMSL5dJa8fncj3jYZvqAmuyoi+Z/mN89eDR+396OjFW2Q//kWKYTuXWqcG5lVQWKC1Y+lnhrzD4FVQud19yCg2uHqSZbJarPrki+FU0niEa9MbNsEcbBYyNxTeTwkfcmyriXTWeT1zXxmEQCgIQCLlAvz8TNSzTd3HafanC8l9H5Mt8jZ3TWlokMCz1N56nsGG6PyKiJ77sM1GppGjHTIxy1UVUGx8De/RCAM+p74V6e8dMpWSwnHD/cGSTLjumdn3+NDw9pL3WiHakABp0HBE9F6g8X/KBR6eP88qs7n3xwK5W7lXteTFIAAIQ6KhAZeGefaXZY7x4Yk/UH7PSUcgOBq9cRbF+hI4tqzP6SUsHdvXTWY9mWSuNgDM4e+xAsbj35puX72k2DvYLmoBw6gpaUZ6dXTSoJB7EPctBm5/68qlc7q4UZ49aHEv8AQuS1meGrVoTQIPemh/2hgAEIAABCEAAAhCAAAQgAAEItEUADXpbGBEEAhCAAAQgAAEIQAACEIAABCDQmgAa9Nb8sDcEIAABCEAAAhCAAAQgAAEIQKAtAmjQ28KIIBCAAAQgAAEIQAACEIAABCAAgdYE0KC35oe95wgkM7OvElLeR0IxItp+7hnahksuYRdQEIAABFoVMAwZosWlMfJkBbHs1xXdvHmUf9NqXOzfukDKLF5YJuXCSiSVvNvHrPgTz1BvPTpRNiv6/Y+W14nnPZ+Zf6YfFdu6Jcv72hG7/TFESZrOVcR0vhDNqG75o2NbBu/yGye1Sc70PHdYhHSVSp8cs/y3bX+uiNgJgUs3TZ/oetqlJHK8oir/duIy9fPZLHudGCvqMTdskMVOzL1WiJ7KQrtKCe3qiev4wW7V/d4ROdXxHIuEF5HCj9C+WMq2eXe3xsc4/SmABr0/570jVRtmcTsRnzo3+KBox+bzXHlMBf4gAAEINCWw3iyu9Yj/Ze7OTJQvWLrZVFDs1BYBI+3MEFPiiGBCs3ZeH2jHAMmNM6eIos77IcYTPv/WvPaNdozRrhhr1oi+dKVbrBLvHtvSnz333w3T+RoRveyIf2faaef01e3KCXG6K2Bk3PeTyAfnjCqDog1gFffG5iKZdl8sLN+c977PlCnkdKuxaI1vnTQdS4jSc/dUSN6xzYrf0XhE7AGB+gTQoNfnhK0WELgkLaeX2P2pz2aebekqECEAAQg0K2CYjvjte8F5WmztWi43Gxv7NS9gmI5NRMM+EcZtSzeaj/74nsNpx2Omqt9XCjlNYWbfY6PVsRvdfzjjPMRCx1bbr6zQ2ROjeuWZ5wf+DNP9cyL5ctUxhP/Ozmv/1Oj42L63ApXHcZVnXL/n1//QtvTn9DbDcI1e631/1ZCmdvKqhDvuEPXOu9ySn5ht6eihwnU4hSpbHFyhmq7gJpvMFG8X4XfijSy4c4TMIBBWgWRGjhNxfS9pVIhftM3Svh3W+sKct2G6ZSJRqtfAnm1pLf04uy4rCXW3O+NnxKwdX8jxQ0ExrNVQENHHbUu/6MkG3an8qH26T+6ubel6UOpCHvUJGCOld5Pn3YbvQvV51dpq3YgsVz13j982MZEztubjP2t9pOoR1pvuCz2Sb/nFj5e0JVu2BPU2m06pIG63BNCgd0s64uMkTfczQvIWfChFfKJRHgR6IJAyZXWZ3B1+Q4vCrxof1f6jB6n1/ZALNKTU6lmmK6+URXsc1/decy9WWn3rDYM7gzIRtTyY+FMFS1vzRIOecX5HQqt8chfb0n1++AhKtchjrsD6jLPBE7oJ34VaPzbSaTlmmt2H/SIx0TkFS/9+6yNVjzA84r6SPfmqX3x1QFs+dg3v7dT4iNvfAmjQ+3v+21b9+kzpbZ54n8KHUttIEQgCEHhCQJTHz9RW/8OZjN4dKobp/JCI/tQngx/Zln52a9kJG6bru7jWqiFNy2bZ9zLU1sZufO+k6bhCBxZJnf/HstbOxScP/YdhulcSyXXVNhWSz45b8bc2ngH26KVA8ko5RRzXb+HKfbalL+llfuEau/ZrvzylDUxM8GynaqosTleMuY/5f6/VFKLg3F7TKQfE7Y0AGvTeuEdyVMN0Kl+g5/3ir4i8a1s+/olIFo2iIACBrggYpnsnkby6StfzgG1pJ3YlCQwyT6DGomg0tUuLT06y0ypbcqT0TvG8+avCM19j57S/ajV+O/c3zMeeRRS/d25MJioVLF078t8PNCCVBeXm/DvRoGgJLCjWzpnpXizDdH5ARPN+mFLFe+pYPrG9e5mEfyQjU8qTeBurVPK/tqX/WacrNEz390RyQpXPna/YlnZBp8dH/P4VQIPev3PfkcrnrOQu4imvG78xVn0RnI5kgKAQgEBUBYYzxY+w8NWH6mPizxcs7c1RrTcsdaVSMlhOHDhreNzBnB9SZ7VTx8Z4ul01DI+4L2CPvkwky4i4yApfWBiNfaZd8dsZZ/1ls0/3VPXHRHJwZXu+27a051cbY80aUZcc73yc+Yk1XL4+pWqvm9zMvvfdtzNXxOqMwMGV3P+R6MDihts1VXvpLZv5950ZLdpRhzPOehbaetCSmPm6Qk67qltVJ033c0LypkPjCcs147l4oH4Y7JYFxumeABr07lljJAhAAAIQgAAEIAABCEAAAhCAgK8AGnQcHBCAAAQgAAEIQAACEIAABCAAgQAIoEEPwCQgBQhAAAIQgAAEIAABCEAAAhCAABp0HAMQgAAEIAABCEAAAhCAAAQgAIEACKBBD8AkIAUIQAACEIAABCAAAQhAAAIQgAAadBwDEIAABCAAAQhAAAIQgAAEIACBAAigQQ/AJCAFCEAAAhCAAAQgAAEIQAACEIAAGnQcAxCAAAQgAAEIQAACEIAABCAAgQAIoEEPwCQgBQhAAAIQgAAEIAABCEAAAhCAABp0HAMQgAAEIAABCEAAAhCAAAQgAIEACKBBD8AkIAUIQAACEIAABCAAAQhAAAIQgAAadBwDEIAABCAAAQhAAAIQgAAEIACBAAigQQ/AJCAFCEAAAhCAAAQgAAEIQAACEIAAGvQ+PgZEhP/hH0j9wAeozMzSxxQoHQIQCIlAGN63sllRfno68eRaLoeEFWk2KRCG47HJ0rCbj0Dl9U30X0o2e36ZCN+d+uFAweu8H2Y5WDWiQQ/WfHQtG8N07yCSNU8OyJO2pa3tWgIYCAIQgECDAsOms5WJUoft9lXb0i4Iypfkd1/62LG6nvgNkSw6lCOz9+pCLvHVBkvF5gEXqDRpO3e73yGic5+Ya+KPFCztrwOeOtJrUmDNJhlYWnb+j4ifciiECKXG8/q2JkNit8ALCBumeycRveqJOScaG7f0SwKfOhIMtQAa9FBPX3PJJ033q0Lyyvl7c+XL7qubi4q9IAABCHROIJlxPiZCF1UZ4R7b0p/duZHri5xKiVZOuE61rZnl2YVc/J76InVqK1HWbKL45GYqErHXqVH6Ja5hFn9PxCfMrVchvnabpV3dLw79U+eBRq1ERMrcmoXkHeNW/I52W6xbJ4nXvpbctbgSp920dcczTOfHRHTW3B2Y6bZCTn9P3YGwIQQaFECD3iBYmDfPZmXxzt3uY7VqmNqlxSYncVlmmOcZuUMgagIHz1b6Xi6uzmqLxsZ4upd1D5vuB5gk65PDH21LP6ZX+SVNpyyHNRZM5BUsXe1VPmEfd2RElj/muXtq1aHOylljY/F7w14r8n9c4OKM83xF6H/8PGxLb9v3acMs7jz8LH1lzOMWuyd8+MOLdmE+uieQSslgOeHu9xuxkNMU3B7avfnot5Ha9obSb3BhrNcwnQXvM3d0bfHHr2ffN6Qw1o2cIQCBcAsMXyVLeNad8quirJRPmRgduK+XVfqdaTmUUzu/wDdSZ633/V7l1Ej+Qdx23cbimarCC14RYVuaTsRuEGtATo0JJNPOiDBt7nSDbpjFXxPxadXGweu1sTlrdet1IzMnq576W784g6Il8nkutjoO9odANQE06H1yXCQzpXeIeP+8ULnqrKaPjeELxUJO+H8IQKB7An/5l7I0scLd6zeiqPS88c3697qX0fyRhtPFjzFztUvwiYlKBUvXup3fpZfKsa7uPuQ3ruZox91yCz/c7bzCPt7wxv0nsKL9fsE6mL9g57Q3LbgdNgi8wPpM6fWeeF/sfINe40QK02V2Tt8SeKyIJDi8yTmHy/RdNOgRmdCQlYEGPWQT1my6RsZ9P4l8sPb+vNe2tOXNjoH9IAABCHRCYP3l8kKv5H7Lt0Eneu+4pd/SibHrjfn4AnHxqs2wCF08ntcn6o3Vru2GM6W3sXif8nVj5e3judin2zVe/8Q5cD/ygvfxM9E3CpZ+fv+4RLfS1FbRyj+tvsYEEW2xLf2yVqu/4w5R77zrwH3uVf+YOFuwtH9odRzsX5/AsOlcykQ3+20dj2mrt9zAO+uLhq0g0JgAGvTGvEK79XrTvdwj+WiNAhx1Vjuq1/dxhhYYiUMAAh0TSJmyukzuDt8BxHujnU/4nt3qWGJzAifTxbcK8xENr4jcNp6P92QxoXUZ53mq0N1+9ZeZzp3I6b5niLrlFsZxUiP7V5Y97YFauTPz1wo57RVhrA85zxcw0s7ZxPSDI/6H6Tt2Tn9hu7xq3ZLCxO8vWNqH2jUW4tQWMNKzbyBWvuC3lTqgLR+7hn2v7IIvBFoRQIPeil6I9j1/w8OLT4st910gDvc2hWgykSoE+lAgLPdSr1kj6lHHF0/2VNZLy/XfTmR5tpfTFRa3Xho1P7b/yt6VmIrw+dvy2jeaj489gyZQeR72JRlaJaqzRCvqO7Zs4X3tzLHW67VcclZObFn8YDvHQ6wFmvQaazfhezOOnk4KoEHvpG7AYhvp4p3EPO8xaquGtCXZbHs/ZAJWOtKBAARCLvAeU54bI3fefeaKor5v26h6fcjL61j669Klt6rszbuMvSzK2ybysc90bOA+Cly1qRJ50M7HV/YRA0pti4DohunOX3hM6Kd2Xn9WW4ZAkLoF1o+Ur/S88nVzdyiRds7HLP5+3YGwIQQaFECD3iBY2De/YNPOoVXl47cK0zIi+l87p/1d2GtC/hCAQP8IDJvOTQrR04Vol53TDGIsarnw7Is2nHFvVoRO8ph2jOe092J18YXVGtnCSDsbSaE3EvGM7pQ33Xxz4jeN7I9tIXC4QMp0/6rM9HLyvP3lx/T3Tkwwzpz36hAR0YyMazPRSo/o/8bbsN5Ar0rBuOERQIMenrlCphCAAAQgAAEIQAACEIAABCAQYQE06BGeXJQGAQhAAAIQgAAEIAABCEAAAuERQIMenrlCphCAAAQgAAEIQAACEIAABCAQYQE06BGeXJQGAQhAAAIQgAAEIAABCEAAAuERQIMenrlCphCAAAQgAAEIQAACEIAABCAQYQE06BGeXJQGAQhAAAIQgAAEIAABCEAAAuERQIMenrlCphCAAAQgAAEIQAACEIAABCAQYQE06BGeXJQGAQhAAAIQgAAEIAABCEAAAuERQIPehbkyTOfHRHTWwaHcsqI9fWKU7+vC0BgCAhCIuIBhFrcT8akHyhSaHSRtdT7Pf4h42YEqb126+FaV+VNEdOAzVYRuG8/r7wlUkkimrQLZrCzeudvdRUSLHw8su2xLX0XE5bYOhGCBELg47b5UYfkaESmPT7f8q52Pvz4QySEJCERUYDhdWs/sbT302aoQbd5m6ZdHtNwjykKD3uFZNky3TCSPv6Ef9lf25KyJG+P3dnh4hIcABCIsYJiOVCuvuFg74f99mCvNA/46LGCkix8k5vfPH4Yfsi3t+A4Pj/A9EDjYnD9WbWjb0vG9qgdz0skhkxnHEKFClTH225Z+8AeaTmaA2BDoPwHDdG4jondXqfzntqWfHnURfJB0cIaHM856FhrzGUJsS5/XuFfb9j3p2dNirPySiNSD/18uifeMj+UT2zuYPkJDAAIBFkia7qSQvN0nxZJt6VqA028qtbkf2Ez07YKlv6ipYG3aye9HkgPhVW2FvZl3t2mohsIYpvslInndkzvxv9qWhjN+DSlW39gwnUpzXr0xY/qendOf14ZhEOKgQK9f97Ve4yy0Qfj/Z+/O4+Soy/yBP091V/XMJBmSCeGScAiCAuIKeC0eoLAu4qroBtefqyZdnQECXT3h8vopjevKEoVkqiGBSVcTcZffmqgsruuxiqCCunK4KgpyrGBYrpCQDMnMdFVXPb9Xh0yYzHT1NX1UV3/mLyX1/X6f5/1UdffTdTSt3VssoR2LF6oHpdM8gQKGQyBh2HcL0V9OyeZrlql9PBzZBTULUV46wVn6bzSi9m1azeNBjb4RcaFBb4SizxyJVP77IvxuvyWq+aZ9WfLFRQrHnis5Rxs//DWRDVNDAAJVCOiGXZjypd2MEdW8vlSxTGA2iSft25npnTMDKl5aHDukHYEuTUtPZJvj+yFBIfnwejO2sRWxpdOibN6eP4uF3ypCHyfimSZCv7cy2gmtiCfMa5T9UqZ4DbTinbl+Tex2Ii55hUuYbRqdW7uP+40bJfKDu5zia21Nf2F7/a0p+RBtrBv5p4j44OkpidCPcxntXSFKNVCpLLt4bLFSiP7ZLyhW+F3ZNWrxlpPQ/qFBb2Jp9WT+u8R8Vr0NeiIlB4o4z/iHKH+2zNjhTUwBU0MAAgEV0A3bIaJova8vAU2rZFi7m89t/t+mS4/an1vFJS85bmaeyaTExtjxPVMmJB/MmbFbmxlDce5kUvrH2NlRzTqjA2psU5rtarbFNqUFKjXoxVEiJN6Lat+GDTiTWu9+FITjfskSifQfXHuDTkznW8Na8d5Z/HWoQPxymccTzqhf+NlhVWHGl3DNKO/g0K6DXU99yrdBF357NqP+rBlrB2VONOhNrEQ8VXgfi3dbqSWYqJCtcAmqbtjFD1FlL1PFt7RNLCCmhkCABXTDvoaI/B6WEqp7IxOpnQeKaP5fVgq9ycpov2pHuco1aws0de5XvsK7mh2XbjjPE8nCatZxyTtmg9nzSDXbYhu/Br30WbUSWz9smdqxcKxPICjHfTVfyEzPkEluzZqxD9aXOUYFQUBP2m8kpv/yiyVW2D5v7doDdgYh1jDGUO64i0yo2sgIF09ShPYPDXqTS6sbdvHDWd/0ZUYH1IWb0v73Ji5d+qeeSP8rKt1f4Vqm5nsGrcmpYXoIQKDNAn5n0UefVvs2bQrP/VmDl4zu7zo9vk+mlwi9Ibdau7cd5djzBPdvzlhb6BdWRpt632JTwqt0lnFG48DqQdlhfrYpwXTNpBLRjerOquIsW/07RaUzmK36smkwJW9yxflljZlkLVNbXuMYbB4ggfhK+xR26R6/kCID6pyRNI8FKORQhaIbborIXTMzKf6mZap+z98JjQEa9BaUMp60h5n5ouLT3IXk8cMGtGPTFS4xXLFC5uajTtlLNoX48zlT/YcWpIAlIACBgArEk/ZXmXc/6bT4ev6gZaqvDdtPPVV6PYyQeviIyb73qzW7dPqF44dTJPobItmPiAqKyNL1mdi/NHvd4vy13iOLq64aVxU9Zd9DQqeUm3HxgBpJp9lr3KrdNZNu2EW7kp9VLVNVWnWf/6CR/5RLfFW1+q6y68gNaxbg53SrBQvgdoOGHOaS84RfaIsH1Filz/IBTKujQjrvEjmu4BR+RSRziMgWT/lA7rro9zoqiTqDRYNeJ1wzhi2/cOIYLxIpfsjrqTg/y2ZrOHZYxe2wAQQgAIEOFxARTqQc3yYnLJe7JZL5vxXmr0/+1rIQWTlTS1QqX7WX4DqOvO7mdbHfVpoP/15ZIGHIyULOL3AbWmWr2Wyx4mJZnC84M758i5D6zhGT75jN3LWMjacmjmVRHqpujNximbGPVrcttgqqwOCgqG6P4/u8DlwdE9TKhSMuNOgBqaNuvHgCUXW/iy4st+aGcW9TQEqHMCAAgRYI6Ib9EyJ6e4mltlimdkALQmjqEnoq/0kS/qcSizxmmdrR5Rbf09hvmr6NkPyBmX9FCt337reo6849l31/tqapyYVs8kHDOd0lqfgEYfbc07PX9d4ZsvRbn46IsiyVTyisvIWJH9ixIJppx4MOdcP+HyI60heAabvrqK/ZsJbLPNy39XxYsX4B3bCLv6K0qMQMP7VM7R31z4yRECgvgAZ9FntIMimLxhX7MvHoVczK/dpAdPXaNNf1wIiEYTvi80RmKZ4+Yt5dKyG6KGdq188ibAyFAARmIdDI434WYXTZUGHd8D+D7o6qvZ3+tOxyZ8FdRV2wYQ1vL1f0uDF+OnPk+ySk7X6vYP5sblj9UpftKC1Jt9xl13sCGBOP3pG7rvbnIiQuHT/SsyOXKMSHCMlPFg+o63AZbUvKWnaRl173C5eJeEuI+Ai/jas5VtufDSKoRmDpUumJ9Pv/jGYrb7GoJt4wbrMiLXPtbYWVIt5JrNAjvZ725UyGfZ9HEyYDNOh1VlO/KP8BUrjEz+eor7VMfqDWact9OGPib2RNdUmtc2J7CECgsQKNPu4bG114Zyt+OB5jp3gmo+QfE52SNbX7OlXA7wz4ZD7M3l9lh3t+2Kn5hSnuSrdbMNFI1tTOqyfnhJH/rBB/cfrYiKouGrmGn69nToyZvYD/6/7MuXGszt47KDMkDPtkIfJ9+GirfqUjKB6tjkM35AQi53cz1vXkHOu62L+1Op5Wr4cGvQ7xSk/NrechPBXuIfyaZWofryNUDIEABBok0IzjvkGhhX6apUMyP+I5L/glGhU5/sZM7A+dCFFpvyrmJFR4W87su6sT8wtfzOWv5iCiay1Tu6TWvFeseG5uPjrf78Gw2yxTq+pn9GpdF9uXF6jm+Jw6A47V8OxR5yXzxxWYf++XkTug9m5I80R4Mg5WJuX6om54+CYa9Dr2x8GhXQe7nvqU39B6HlgUT9nPslDJ+yhdhV6/YY3233WEiiEQgECDBJpx3DcotK6YJqxv1pX2q2Jx63lP6Yqdok1Jxg17jIl6Sy0focLhI2Zfzb8oMDg0cbbrKd/xSwkPpGpPsas5PqdGhmO1PXVqxqqVvpyp52RcM+IM45wrV0rvqOv4/oRdRHEOGVkz5+kw5j6ZExr0OqqbSI4dKhzd7Dd0dODh2Kb0Cb5Pfiw1bskS0foPdvIl/u23lqm9ro4wMQQCEGigQDOO+waGF/qpEknnbcLy0+mJMlMqO6yZnQpQab8SoWtyGe3STs0vjHEnk9I/xs6OErndbpnaGfXkHDfy5zDxt9Cg16PXvDGVjs99V5ZVlhn7ZPOiwcytFkikbEOEhme87wi/PZtRf9bqeLplvY9d+swczR7wfaYXS2FxNtP3ZJg90KDXUd0lGyXSf5dT8Bta/4MjRNFTjkVC5wrTTqUgg9nrY7fVESKGQAACDRZo3nHf4EBDPN3SpTI/0u8UH4T2OmL6E6nqWdY17Ps7tZ1Agf2qE6o0M8Z0WqKbXyjcIiLvZeIXIkR/P2Kqdf/sl75SBsh1tvpoOJap7X74H/5aK1Dp+CShCWL6X0/y77spM68jb7NprWjnraZfIoeT43yPhI4kpt+4o+pfb9hQ/qGdnZdl0CIufyvR6FvV6KaQ/yoJGvQ698l4cuIyZmXV9OHiKe/JXRf9Xp3TYhgEIBBgARz3AS5OB4eG/aqDi9fA0BOG/c9CNOP3s5Woeuz6a/nhBi6FqWoQwPFZAxY2hUCDBOIXFc5ixfvujD5LvMtzmZ4vN2iZwE6DBn0WpUkkx9/mUeQbzHQAEz1W8OS9G66LPVRqysGV+de6BbqaiHuJ5NmYqyXWrq3vJ9lmETKGQgACsxSo5bif5VIYPk1A12WA5hZGyJOFxLJLUzRj3Rou/jZxW/50I/9lIj6ZiDxmujk7rN1cbyA58FsiAAAgAElEQVTYr+qVa924C4bklbZnmyQ8hxTeSjujg5bF2xoZgZ7KLyFhi4jmEdF9zOrZ2WF+tpFrYK7aBYrHJ3H0NiFZQEQTrPAPet3ohzMZLnVrYu0LYERgBVpx3Ac2+TYHtvSi/KujCn9HiI4SoecUcv82m+ntilsL0KC3YOfTk/lbifkDM74FwpN5W6CPJSAAgTAILDfy53rEX5+eCxNlsqZmtDLHJSKR/lSp25x4zDLVOa2MBWu1RiBh2KYQJaevppB8eL0Z29iaKLBKuwR0w/4lEb1pRv1d79j11/fg6oZ2FabJ6+K4bzIwpvcVQIPe5J1jcFD63B5nl98yeApkkwuA6SEAgVAIlHuK+7vfqkbPbeH9aAnD3iZExTNpM/6Y6RPlzqQvTUtPdLt9pOKK/cIzscc3bWI3FAUKcRIbN0rkB2WeOxOJyImepz2HM93h3AmWXiYHRfKO7xOj8TkunHWvdNyj7uGse1CyQoPexEokkvkPCvM3yy2xeECNpdNc0xPfmxgypoYABCAQOIFESg4UcZ7xC0whPnW9qf68VYGX+7KAiHyf5B1P5r/KzB+fGieLfCibifk+vbtVOWEdf4HlhvOXHsndlYxESLyIOrBhDR4gVcmqk/59+ZC9xvMo5RczGrVOqmb1sVY67mMFdR5uVa3eE1vWJoAGvTavqrf+2PkvHqBpsYr3jbkDau+GNE9UPTE2hAAEINBlAoOGHOaS4/u0dlH4zNwa9UetYqnQoN9hmdo7p8cST9pLmemmUjGOO2MDt6yb/0Kr4sc6tQnEh5wz2JMfVjOKiQpZU1Or2RbbdIZAIpl/UJhfjQa9M+rVqCgrHfeRXnX+yNVc6ucWGxUC5uliATToTSp+qTMlpZbCN69NKgCmhQAEQiNw1lmPxA551eG+X2SqkcKhN6zu+99WJawbdvGydKX0evIVy4xdNv3fEobtCFHUZ8xnLDN2Vavixzq1CaxYIXPzUefFakdpztjAOnzhUi1X4Ler8IUc4XNc4EtYV4Dnrxx7heNGfX9r+7Hf3q3eeefpvj+5XNeiGASBPQJo0BuwKyRSzioRmfxA9kBkYuJ0t6fndiI6sdz0wp6VG+5JNCAETAEBCHShgIhwYshZR0Ln7Un/VxPy4pn/klk4GiaO+OUyjycc35xcxT1yw5rex1uVczw1cSyLUvIXO/w+rFf4kJ+zTE1vVfxYp3YBPZl/mpgPqmZkq/fHamLCNvUJ7H6NTTme32gm/m7WVM+ub3aMCrLA0qHxIyJe5E9+MfaJ2oOn+De3gvEh5y3s0feIZD8izrPC/ye7JtoVt4ShQZ/lvqUb+SeI+LAS0/yaiF7v+6Iu3qXZTM81s1wewyEAgS4W0JP2dmLabzrBhLy4X5ia9HRalM3bHN+HqUUm1DkjIzzWyl1BT+VvJZn56xxEvIVIthDxJZapfn8yJt2wtxDR/qViFIWW5dZoG1oZP9aqXuCjya39PTyv6ktZ27E/Vp8NtqxVoNyXax7Tm28a1v6r1jmxffAFKj3kOTusKswswc+kMyNMDBU+Ip53y4zoma+2htVPdWZW1UeNBr16qxlb6kn79cR0f61TMMvrssOx39Y6DttDAAIQmBRYlsx/RGGe+eb10ga/skxtxk8CdbKennJuI5H3zchB5AkrEzuilbkVn8Qe2eaMV7Hm3vvRE6n8iSL8m1JjFg+oajrNuFSyCtB2bKIbdrEBe2O1a48OqLFNePhrtVyB3q7Sl4OjT6tR/BJDoEs4q+B0wy6+Zs+4GpaZbs4Oa5+Y1eQYXEZAWDf8r1zphvdMNOizOECWp/JXesKfrzBF8du1vc7M3l9lh3uqetjMLELDUAhAIEAC8aGJV4ooi4R3/XHDmgXbGxFapaYhbPdFljuLtXhAjaTT7HsZaiO8J+fQDft3RHRCtXNGIuqJI6u5OIYSqYkzRZT/fHks77LtiVd+7YZ5z1U7H7ZrvUCle5BLRPRTy9Te0fpIsWKjBT5+4ehCNdLzvN+8qpY/8Iav4PhttHtw5pOIbjjTvjxlzzLVSHBiDF8kl14qc16wnZ1+mUWocPiI2ffn8GU+5dNBmJNrbm6iJAwn7//Qn5dXL/5G7yYi2tTC3+ltbu6YHQIQqEbgvIvt1xUK9N/7bCu0w8po86sZX24b3XB+QCR/5bdNmBr0lSuld9R1fC9hjyjOISNr5vj+TvFsrac058WfejuwlvmYaU12WFs5dcySjRI5/g8krfpSoZZ4se1MgToadDw4LCQ70gUXbF9gq33b/NIRob/IZbSSV8aEhKCr0/A79os/qZjLaD4PCu1qsoYkX+m4UyLqCetX8+8bslhAJ8EZ9DoLoxvO80SysJrhuE+lGiVsA4GQCYgoesrvvml5zDJjR88m44RhnyxE95acg+lGa1g7fzbzB2nsBVfJAvtpx/9DMqlvy5l8V7NjrqdRI6K1lqld2OzYMH9zBO4Qif5zynFqnT1MX5DVmnuYtj/fkBMccnZfAVPqT3HlhPXXx0LdKISpnrXkcl5Sjiuw41vbvz9HVU8/Hbcm1WJa7bYfu/SZOZo94HsGnXvUxdlV7PuE/WrXCfJ2aNDrqE6le5KmTelYpqbVsQyGQAACHSyQGMp/RDzfe8TJMlWFaHYPmEkY9teF6Nx9mIR2ZE11QZgeXjPz0vBpOwbTxdawtrqZu0v5n1bzXzlChbeNmH1N//Kgmbl389znDzmnOp7UVD8meihraq/pZrew5K4bzqVE8mW/fFiR47JrYg+GJV/k8bKAnrJXktC1fiYR8Y4eyfQ8BrPGCyxZsrm3/+AD/a+aI/XwEZNxiXvj6Tt7xkqXW07NTomqx66/lh/u7IwRPQQgUKvAciN/tUd8ud+40eKtLw247eWlM+n8JSKZ74msuSkT+3+1xhr07RMX22+WAv3C90OyUCqb0cxm5bHiMjkon3dqv4SeabM1rJX6lY9mhYp5GyyQGHJOE0/uqGVaV9m1oFHPmqhlXWzbeIFEyrlMRFahSWu8bdBn1FP2ChK63i9ONaIeesNq/t+g59GJ8a24eGxxvhD1bcBFvHfnMj1TnufSiVmWjxln0Ouo6fmXvniAY8eerTR016h75L9uaN1v81aKB/8OAQi0TmBwqHC263nf8VsRl8BWX4v4hWNv4Uj0574jxDvfyvTcWP2MtW2pp/JLSHhjFaOeIKJiQ14g4S9YGfWLVYzBJgEWWJ7Mf9Rj/ucKIeaJKEYk/2lr2ge/9hXeFeCUEFoNAgnDvlCIrvNt0LvgYVU1cIVq02UX2m9SIvRLv6QWaOrcr+BYb0rNBy/Kv9ZV2PfXrpjlY9nhWKXX5abE1qpJ0aDXIb0iLXPz25wXyw0Vkt/kzNhf1DE9hkAAAiER8L1nWehOK6OdHpI0m57G4JAc7HrOU34LicJn5taoP2pWIMuSzjsUljsrzW8Nqwrhd3ErMXXUvycuGj9NlEi5M+i3W6Z2RkclhWCrFogPOWewJ76/vCM9an9uFZf9PFj1YtgwUAKV7oPG86WaV65KV615wqfdlFF/0rwI2j8zGvQ6a1DuYUEuyUc2mLF/rXNqDIMABEIioK+UAXKdLUQ09Wmvv7ZM7aSQpNiyNMq95r70kzfN/Jk1UXTD74F/LxHEoupha6/lzS0DwUItEihf+274Pd4WQQd0mfL1x5VQAS1bg8LSjfzDRPyq6dMx8TeyprqkQctgmhIC7X3Pb39J0KDXWYNEcuzNwtEZ90QqpGTWm1GjzmkxDAIQCKHAxy6VOfN417wtj8/ZsmkTuyFMsekp+b/mRi5Zb0Z8H+TTqMCWG+7FHrnXTJ9PiL+Rwwe1RjEHch7f2kf5nblr1ZruTw9kggiqrIBf/VkKb8lm+nwvgQZrOAR0w/kGkXxoMhthuTo3HPtUOLILbhbtfs9vtwwa9NlUYKNE9J/lM6REjibPe+axhdqKO9Ps+7MAs1kKYyEAAQh0vUCbX3NPS8vco7baa0lRDiLPfdR6WyxJDXjQX9fXtQMAUPsOKFITQ0T9m4iLqSHgJ9Dm9/x2FgYNejv1sTYEIAABCEAAAhCAAAQgAAEIQGCPABp07AoQgAAEIAABCEAAAhCAAAQgAIEACKBBD0AREAIEIAABCEAAAhCAAAQgAAEIQAANOvYBCEAAAhCAAAQgAAEIQAACEIBAAATQoAegCAgBAhCAAAQgAAEIQAACEIAABCCABh37AAQgAAEIQAACEIAABCAAAQhAIAACaNADUASEAAEIQAACEIAABCAAAQhAAAIQQIOOfQACEIAABCAAAQhAAAIQgAAEIBAAATToASgCQoAABCAAAQhAAAIQgAAEIAABCKBBxz4AAQhAAAIQgAAEIAABCEAAAhAIgAAa9AAUASFAAAIQgAAEIAABCEAAAhCAAATQoGMfgAAEIAABCEAAAhCAAAQgAAEIBEAADXoAioAQIAABCEAAAhCAAAQgAAEIQAACaNCxD0AAAhCAAAQgAAEIQAACEIAABAIggAY9AEVACBCAAAQgAAEIQAACEIAABCAAATTo2AcgAAEIQAACEIAABCAAAQhAAAIBEECDHoAiIAQIQAACEIAABCAAAQhAAAIQgAAadOwDEIAABCAAAQhAAAIQgAAEIACBAAigQQ9AERACBCAAAQhAAAIQgAAEIAABCEAADTr2AQhAAAIQgAAEIAABCEAAAhCAQAAE0KAHoAgIAQIQgAAEIAABCEAAAhCAAAQggAYd+wAEIAABCEAAAhCAAAQgAAEIQCAAAmjQZ1OEtCj6Vme5sBxEpJBCHgsrnhLxfi+2d3/2ut4/Daalz32hcAp57jyFlcWeyH4K08PrTe02IvamL59I5U8U4rcorOx0KPIfG1bTjsGkfawXibyOxTtAmMYUKfxwxOz7cz2hL12x86BoNKYTUdQj90VWon8kz30iO6z9npmlnjmnjrngU7LAHnc+QiJzmZVfZ4fVH1aaM365zKOJwikKUzRWiN5//fW8tdIYEuGiixuNHCWK9+Rh/erv0umZnhXnqXOD09LS88rtzvnkyX6TtScil6KR+zw7/9+56+Y8deGFsjAfLZzELke9iHcUifT5mwgvS068XVEixyuiPL19IPIfxxMV/jzqvFZx5bVEPECkbFeiY98duab/+XrCPn9IjnCk8PcsXkSIt5N4j7pMD28wY48Staf2S4dkfsQrnFzMx1Wi921Yw9sr5tbm2leMDxuEVmD3cb/NWa6QLCwm6ZEiLJ6wouwiL/r1aIxsr+C+wRNvobCyVY1G7rEnxqKsaCcK0U5vIHpvz07qd5386z2KjEcWRO8dSfPYy2AzXwc2pdmuDlR4qZE/OiJ0DLPyjHK8+lv3ocK7yJNXRth7wvX4eCall5jGDl0QHU5XPW91qw8aY4d5HD2zuHVE1J8WuHCwQm5vRI39+oav8HPVzVJmqzYf96fGt8w7du78i4vv87trr/Dj4tCDiiKnkaKoLCREnuoRiaIoPyPxnt/nvbzMa9tHk1v7Y8rcM5l4fyJ+cPTU6N2bzmV31mZhmUCE40b+Xawox5DnbX5sYex7d6a50Mr03rNi50EHRWPnTdZfWBkXj59kloOLtWcWmxRl2+7PbWt4ezot2p+3F06OiLuQOLq7lqoSeWDttby5mrjjKXu5InKIsOKqHP3nG9bw49WMC+U2ba7/h+P26+bM5Q8Ua198zc/dHB2m7VV8VgllMVqc1BKJxA/Or2COLGCiXc8uiK77933eM1scTwuXQ4NeJ3YiOfZm4egvKgx3iq/Jftvs6nFe8a+r5jz10r+LohtOvtg4VxeS/NkyY4dXt+1LW+lJ+wFiOt5vjFtQD96wlp+pZc6p2+pJ5zZied/08YsH1Jjfh8GEYZtClJw6hol+lDW13R/0Sv0NflL2c8edGY1cRNSjRzL8WL3xVztuueFe7JF7TbntmWhciHr9tplqsmTljoF+t7fylxIvT3a7ZWpnVBvv7tobztNExS+SSv55oxF17qbVPF7LnLOtvW7Y/4+I/m7amv9qmdpHglr7en0wrvMFqjnu68qS+XPWsPpFv9cBT+T/3JSJFY8V378lK6W333V2UvHbwir/RLxLc5mesq9jVU5FupF/gogPK7P9ry1TO6na+aZv1+7XfD3lfJNEPlhv/C+Nk1ssM/bR6XPoqcL1JN6KGXMLnWRltF/Pbs3OH73iYlmcLzgzTkhESH3niMl3tCJDPWk/QUzl9u/pYfyMiN7mE9vWxQPqAX4nFNJpmbt5m/PizLH8jGWqB7ci3yCt0e76L7vILigKRaabiNDDuYx2bJCswhbL8uTEGR4rM0/yeXyVdZ36mbDlOz0fNOh1Vlg37FmfbS4ubZna7hrohv17IjqulnCE+PM5U/2HasYsXSrzI/3OCxW29SxTm/FCVM388cvlEJ5w/tdn27xlaj3T/y2+0j6FXbqn5Bgh3cpouVL/pht28c1rbql/s0xVacTZYP+cd3+R0ogzG3tNdMMungmoyV0VOumGKj+8LR+Sv/A8p8IHPXnSMmOLq6n1jDrWU/uhwlnsed8ttZ4oyntya6LfC17t69HBmHAINOy4L8mhRgqHOm70Cb/XgcUDaqTcFUK6kd9MxIfWaj35/lPruKnbxw3nc0zyhYpz7PkiouJ2JTYIyWs+ucquIzesWbD3TGjZ90Aiyg6rSiOubKvHPChjdMMuXmlY8rNq89/viwoS0w1nopEeTPydrKn+jc97nO9nS1VRj+y2M+ntrf8dc3Xj1BJflrxUuUa8fjZyvwrbXOX6LMtUo0ThvsoIDXode/SKtMzNl/yGs/bJIhOqNjLCTp0Nv2uZWlVn3OPJicuYlVWVIix3trvcWD1l30RCS/22KfVCpifte4jpFJ8xY5apzZn+b8mkxMbY/80yoqqLRq7hui4Br2RT/PdlSecdCsud1WxbaZuiyZKNEum/y6n9Uj3mb1rD6t9WWqP473rK+U8S8b0iYXKOSk2A31p11d5wNhOJT0PBT1qmOuPLgnbXvhprbBNOgUYe96WF+Coi+bSfnsL0xvXDWskvM9NpUTZvq+9LQ48Kp95k9v18NlWr4QtGsUyt6jP8kzG1+7iPr8yfyy5/fTZGU8ZmLVNbPvn/dcO+l4h23+JT6i9C6uEjJtd1O1uD4m3rNMXb33jCGfULwiXvmA1mzyPNDHK54VzqkXy50Wv4NXdlPwvO4kuuRsffivnaXf9lSefzCsuVfrky0SlZU7uvFRbdtobflROTDuVO5ITFCg16HZVclpRFCjuzv6eOiPojat/q1TxeZ4Ne9Td4esr5vyRS8Wx7ZECds+89kdUB6cn8bcQ84/L2ydElG3TDeYpIfC/ZKjVmxQqZm4+Wuvxrz0que4R1fW/xTFRT/vRUfgkJb2zE5MX8kslHYmN8eB3fzst/Wmbs3dXEsdywf+wRnV5p28UDd6vp9Ok1f1lQX+3t4uX0M66q2BPjhGVqM24PaHftK/nh38Mr0MjjvpQSM90sQh/3F/TOssye75f693T6jujmbacWb6eq+Y9FPpTNxL5V88ApA2p576rnjFO7j/vlxkTSI8WcjdHkWCa5NWvG9l4qX+HWI1IicsL61bHi1XVd+ZdI7TxQRPO/7U7oTVZG+1UzcRKG8zmp5gqRGoModSxs3CiRH5T5wp5J0lkz5tsw1hhC4Ddvd/3jF+WvYIXTflAc4bdnV6vF2xnw12CBZUP2SYpH5b78WGqZ2lcbvGygpkODXkc5ZnPGYvpyk5dolbuMxz/E6u9DHxwqfMD1vFsrpVvvWdS4YZ/PROv85vdp0K8mkst9xtxlmdqMe7hEhBMpZ8bD9Sbn6BO1J5Ph4r38TflbcZkclM8X7+ee/d9LJsK64Z+P7xuDwldm16i+bxxTx8VT9joWOr9SxPVeLlhf7Uvefz4ZYsn70Ntd+0p++PfwCjTyuC+lxIp8SDz+pu/xzvZB2eG5z5b+9/peQ4pzjTvqwC3ruNKtT2ULW8X955PjH7NM7eha95J2H/e7H67pOX+qNe6S2zOdbw1rN07+WzyZX8XMl/nNHSuo89au5eKzBbryr9JnLelR+3Or2PcS5EagJYacd4ontzdirilz+F79WO4LL2EazA1r6xscS2Cna3f9lxn2oEK093idDrV4QF2QTuNhcc3YgW68UdRf/d7xfUBqLKoeVu0DF5sRXyvmRINep7KetLcR04I6h780TOiXVkZ7S/F/6kOFs8nzvlPTfBF1obWat1U7poozHessU5v5sJoqF/CbX0S+nMvEZjTi6bREN29zSp75GXfGBm5ZN7/kB0ffb7RF/s3KxM6pMty6N9MNu3gPes2Xak5dcKqJnrRvJqaP1RLQu9+qRs+t4Sm/lWovQoO5TP1v/LXWfuVK6R11nSlPr345+8mrSkp5tLv2tdQI24ZLoIZLuWtNXBYPqNHNW50NJV8HmF+0htX+cpPGk/ZyZhqpceG6Ljmfvoa+UgbIdSo+5FKNqIfesJr9nlNSNvR2H/eVXj+rdZ/+RXW590Bhuic3rL2x2rnDul08ad/OTO+cmZ88bZmxQ1qRd6PqPxmrQnzqelMteWtJ3LD/i4lK1r2eK1Ba4dPMNdpdf//PNiS5TO237DTTKmxzxw17jEs/bLkh711B90KDPosK6Yb9P0R0pM8UQuK9n1gpXo70+hJvLt+1zNjZU/97Ipn/W2HetPe/Ce1QFPqMJ3T9tPFuQbxjv5rpqfGJ5aLteVL8jHCE+fLcsDqr+6yKPyuyedvu+8Vikwv4NeeT/77n8sXiZSzH7PlvW8VzTiz+TFnZD6QpeznLyx9IWfhL2Yz62VmUs6ahumEXz2rMuEd+zyR5Ij6bSIr3Le7+Oaapf6VM4il7NQsNTdnuARb+trDs86RKIRqfI+pBmQz73pdXKhH/J8MWvyeSD+fM2Kwu26+n9i99sC/85uV70flJikRfV+lLp+LPz7Sz9jXtKNg4VAK6YRePu3mlkpLdP7VEu6Y9wHJMiKJMpBXHCNE9TPSaKdv8uk/Ut0xe9VPqdcAytddWgxg38ucyTblXWqj45OmSv/QhRHbO1Pa+Tlczf7ltPpGcOCrKyh+nPOSu+KCryc8XOyPi/cVIze9X+67Y7uN+Vk2a0I7FC9WD0mmecTvTS++B9sNEPOV2L/mqZcZ8n+ky23p12njdsG8mevlLbCb6edbUTm1lHlXX/6VaH/LktsLXheS90z+7KcRv92vOJ7ct1aQvHlDnpdPdeTVFu+s/vfbF13o05605+vSUvYWE9p+ymm018L2rNVnUtwoa9Prc9hm1ZIlENm4k78orqfik3ULxkrx9n7wqLEJU/G/FS3Yq/V73S+OLS7z829S7/9vkqg34vfLivU7FM7AzY20ACBFVk+e0tnWvUS0RNCv+amMoOi5ZMll7cifrPDl+ai2rMSmVT/G/7d4bpu0T1cY4fbvA1X5PflTjft3u2tfrj3GdL1B8zT/+eOJ0evcxX3y9Lr7C73768uQxP/W1YPpreqnX+Kkqs9m3p4+d+v8nj/2mVWCfY/nl971Grjcbm0bEYZoS27aNnMn38WI8V15JfMUVJMXPAMWfSJ/6b9W/bjfHqxE5B2WOdte+6JBOS/HZKXax3pOf6Yr/2+89ejLmemJv+vEalMJWGUc9hlVOXdVm6bTMxyXtVVE1fKNuPBbQoDd8N8KEEIAABCAAAQhAAAIQgAAEIACB2gXQoNduhhEQgAAEIAABCEAAAhCAAAQgAIGGC6BBbzgpJoQABCAAAQhAAAIQgAAEIAABCNQugAa9djOMgAAEIAABCEAAAhCAAAQgAAEINFwADXrDSTEhBCAAAQhAAAIQgAAEIAABCECgdgE06LWbYQQEIAABCEAAAhCAAAQgAAEIQKDhAmjQG06KCSEAAQhAAAIQgAAEIAABCEAAArULoEGv3QwjIAABCEAAAhCAAAQgAAEIQAACDRdAg95wUkwIAQhAAAIQgAAEIAABCEAAAhCoXQANeu1mGAEBCEAAAhCAAAQgAAEIQAACEGi4ABr0hpNiQghAAAIQgAAEIAABCEAAAhCAQO0CaNBrN8MICEAAAhCAAAQgAAEIQAACEIBAwwXQoDecFBNCAAIQgAAEIAABCEAAAhCAAARqF0CDXrsZRkAAAhCAAAQgAAEIQAACEIAABBougAa94aThnjCdFuW444jPPZfdcGeK7FotgH2r1eJYDwKVBZZslMjxfyBJp9mrvDW2aIdA8bWT6E4lnT7NJWJpRwxYk+ilOpCSThPqgB0CAg0SEBG+8kqKXHEFuczd8/qGBr1BO1DYp0kmpX+MC/9DJAsnc2WRJdlM7Bthzx35NVcA+1ZzfTE7BOoRSKQmzhRR/vPlsbzLtide+bUb5j1Xz3wY03iBJSult9+1HybiQydnF6HBXEZb3/jVMKOfwOCgqIUe57dM9Oopx8snLVNdBTUIQKB+gbhh38hEg1Nm+KFlqu/uhi8i0aDXv990zcjit8Kbtzklz5gLue/Mmb13dA0GEm2oAPathnJiMgg0RCCRyp8owr8pNdniAVVNp7nQkIUwySwEhHXDKdaheNZ2nz8h+XDOjG2cxeQYWoOAbtg7iWjO9CEslMpmNLOGqbApBCCwRyCRsr8qQh8vAfJby9ReF3YoNOhhr3AD8tOHJs4mT/lOyamYbGtYizVgGUzRhQLYt7qw6Eg58AK6YW8hov1LBSoKLcut0TYEPomQB7gsZb9JEfqlX5qWqeHzXQv2gcEhOdj1nKdQhxZgY4muESh38qaIEJlQ54yM8FiYQfACHubqNii3RCp/lQh/Cm9ADQLFNHsFsG9hZ4BA8AR0wy53H3POMjU9eFF3V0SJpD0kTKvxvtzeuutDzqnkyV1+USweUCN4fkN7a4TVO08gfrnM4wln1C9yV3GP3LCm9/HOy6z6iNGgV2/VtVvqSTtOTBY+CHTtLtC0xLFvNY0WE0OgboGEYTtCFNNv+zAAACAASURBVC09gXzGMmNX1T05BjZEYHmq8F5PvH/H+3JDOOue5DxDXlUg52HfOgyrCnXRg63qhsRACEwRKD7Xwe1xbD8UzRkbWLdu/gthRkODHubqNii3lSuld9R1Sl5KIsyfzQ2rX2rQUpimywSwb3VZwZFuRwjEk/ZSZrqpVLDjztjALSH/YNQJRRq8UVT3974fYNdapnZhJ+TR6TEWnzCdSDk+v3Agt1lm7AOdniPih0A7BHTD/hMRHTF9bSYqZE1NbUdMrVwTDXortTt4rbgxfjpT5Mf7piD/YZmx93ZwWgg9AALYtwJQBIQAgWkC8WT+q8y8zwN6WORD2UzsW8AKhoCetF9PTPfvEw3TL6xh7S+DEWF3RKGvmDiaosojU7MVoodypnpcNzxtujuqjCxbLfDSWfTCFiLZb3JtERIvog5sWMPbWx1Pq9dDg95q8Q5er/jQhiefnzg8wkqv5LXHw/6Ahg4uVceFjn2r40qGgLtAYGlaeqLb7SMVV+wXnok9vmkTl/w1jy6gCGyKxTO456VosUTseWpee2LtWi4+URx/rRYonkk36BXC9vw+0f6cybDv/bOtDg3rQaCTBT5+4ejCHi12iOdpz2WH+dlOzqWW2NGg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWtgWAhCAAAQgAAEIQAACEIAABCDQJAE06E2CxbQQgAAEIAABCEAAAhCAAAQgAIFaBNCg16KFbSEAAQhAAAIQgAAEIAABCEAAAk0SQIPeJFhMCwEIQAACEIAABCAAAQhAAAIQqEUADXotWmW2FRG+8kridJq9Upul06IQkZJOc6FBS2KaIAqIcLrMfjDbkAcH71UPOeRk128/m+38GA8BCNQoMOWYH7xR1JFBKhCz1DgLNu8QgeJ7+RVXkPCeGm/cKJFNm4g2bWK3Q1JAmHULCC9Jk3o8UQHvwXUjYiAEahZYkhZtU5ocou55b0WDXvNusu+ApUulJ9Lv/IaIjpn8F/bc07PX9d5Z/P9Ll+48KNKvPUVEe61FvOtzmZ6LZrk0hgdKQFg37FuJ+P179wOhVDajmY0IUzecjUSyZMpc3sKeHfNXrVr0YiPmxxwQgECtAjOP+Zdn4AnLjM4lQtNWq2pQtx8csk9yPbqn+EV7MUYmfkFIFkyNN8Lqm0eG+b+CmgPiql9AN/KbifjQqe/BiwfU3nSa7fpnxUgIQKCcQNywX2Ci+VO2cSxT07pBDQ36rKosHE86LvPLzffkdOLRG3LXqb/WDaf0GXPhK6yM+oVZLY/BgRGIG/aDTPTqmQHxJy1TXTWbQHXD3kBEnyg1h2VqOIZng4uxEKhTwP+Y3zuhWKa2u5nDX2cL6Csmjqao8kg1WfRJ/oBMZt6WarbFNp0hkEg5z4rIAXgP7ox6IcpwCMQNe4yJektk0xXvrfhwP4v9ePnQxBmep/zQZ4oxEVrHTJf4LYHmahb4ARqaTEr/GDs7/OusKrO5LEc3bP/LZZkutoa11QHiQCgQCL1ApWN+EkCJeseuv7bn4dCDhDzBuJF/kolfUU2aQrQ1Z2r7V7Mttgm+QDot0c3bHMcvUoX41PWm+vPgZ4IIIdA5AkuWiNZ/sJP3i9iLqofddC1v7pyMao8UDXrtZntHxI38VUz8Kd8pmH9IImeiQZ8FcgcM1Y38CUT8O79QFw+oar3PHije77h5m+N/byPzt61hde9l9R3AhRAh0PEClY75yQSZ5WPZ4dg/d3zCXZ5A2S9JS9jgy/fw7DCDQ7sOdj21eJuiz583ZJk9w+HJGJlAoP0Cy1fmj/dcfsAvEiH5cM6MbWx/pM2LAA36LGz1lH0eCd3g36DLt0j4g2jQZ4HcAUMTSTlU2PH9Jm/xgBqZzQNlKpxBX28Na4MdwIQQIRAagUrH/MuJ8hmWqd4emsS7NBHdsItfklZ7u4JrmVq0S6lCl3b8cpnHE86of2LyUcuM3RK6xJEQBNoosCwpixR2nvMNQSm81VrTd3cbQ2z60mjQZ0G8Ii1z89scn4d0ySpN0W60Peex0kvI05YZO2QWy2NoUAREWE85JZ/eL0QP5UztNbMJVTfsnUQ0p9QczpyJ/W++qn/rbObHWAhAoEaBMsf81JmsYTVCXPqXPWpcEZu3USCRtA1hquosqUKesd7sybQxXCzdYIFyX5KPDqixTXhQXIPFMR0EiModd91wlRIa9FkeBfFU/kMs/I19phG618pobyj+Nz2Zv42Y3zdtGc8ytcgsl8bwAAn4PERoV2RCXTAywr73r1WXgkR0Y/c9cNOP13WWqa2obg5sBQEINFKgigeHfdwyta81ck3M1T6BeDL/fWZ+d7kIWOSxbCZ2dPuixMrNEDj/0hcPcOzYszPmZv6CNaxe0Yw1MScEul3gE5fJUdG88+h0h0hUOXfk2uimsPugQW9AhdNp0f53e/7tnkQXRDh/18iaOU9PnVbXZUD6nM+wIgvZ9b6Wva73xw1YFlMETKB4v/iTW503UkSOZEXua/TDoQaHJs72PGUJkTzt7Rz9Ui6Hn1gL2C6AcLpMYOoxTy4fKEwnscJ/fMNroqvOO2+2X8x1GWYHpJtMyqIJxX67J7JrNBL7yRxxjo0IrRAh21N2fWXDmgWPd0AaCLEuAeFEykmKx6crEXrimfnRz/x7msfqmgqDIACBqgV0w/k0k/cmIfqjNax9hrg7fr4UDXrVuwg2hAAEIAABCEAAAhCAAAQgAAEINE8ADXrzbDEzBCAAAQhAAAIQgAAEIAABCECgagE06FVTYUMIQAACEIAABCAAAQhAAAIQgEDzBNCgN88WM0MAAhCAAAQgAAEIQAACEIAABKoWQINeNRU2hAAEIAABCEAAAhCAAAQgAAEINE8ADXrzbDEzBCAAAQhAAAIQgAAEIAABCECgagE06FVTYUMIQAACEIAABCAAAQhAAAIQgEDzBNCgN88WM0MAAhCAAAQgAAEIQAACEIAABKoWQINeNRU2hAAEIAABCEAAAhCAAAQgAAEINE8ADXrzbDEzBCAAAQhAAAIQgAAEIAABCECgagE06FVTYUMIQAACEIAABCAAAQhAAAIQgEDzBNCgN88WM0MAAhCAAAQgAAEIQAACEIAABKoWQINeNRU2hAAEIAABCEAAAhCAAAQgAAEINE8ADXrzbDEzBCAAAQhAAAIQgAAEIAABCECgagE06FVTYUMIQAACEIAABCAAAQhAAAIQgEDzBNCgz8J2WfLFRQrH7iKio5l4h0KFD42YvXfMYkoM7SCBdFp6Nm91fkJMpxDxuLCsyA1rN3dQCggVAhCoQwDHfh1oIRiiJ53/Syz/l4iiTPy9rBl9PxF7IUgNKVQQSBhyspDzfSIaIKLNsaj6trXX8mbAQQACzRNYcbEszhecnxHRYiLaxqT+ddbk+5q3YnBmRoNeZy2WGc5fKiR3Tx/OQjdnM9on6pwWwzpEIJGSA0WcZ0qE+xvL1P6iQ9JAmBCAQI0COPZrBAvJ5gnD2SYkC6anM/q0Gtu0ie2QpIk0SgjEjfxVTPyp6f8kpHwwZ0ZvBRoEINB4gbhROIfJ+9bM407+KWfGPt34FYM1Ixr0OuuhG7b4De0TtSeT4XydU2NYBwjoKSdPIlqpUKPkHXOj2fNIB6SBECEAgRoFyh37EcU5ZGTNnKdrnBKbB1xAT9krSOj6kmGKPGFlYkcEPAWEV6fAkiUS6T/YKfgNt0wNn6PrtMUwCJQTKNdnjT6tRjdtYjfMgnhhqaO6g4Oiuj2O/zfmzO+whtWf1jE1hnSEgLBuOL6XNTKTmR3WUh2RCoKEAARqEKhw7BPFs6Z2Uw0TYtMOEPA7ez4ZOpq0DihinSEOXpR/ravwb/2G90fUvtWrebzO6TEMAhAoIaCv3DFAbu9WP5yIJyeOXBf7XZjx0KDXUd0l6Qe0/m3HlDlDzmdYpnp7HVNjSAcIiAgnUmUadKIbsqZ2QQekghAhAIEaBCod+yI0mMto62uYEpt2gIBu2KNENM8vVDToHVDEOkPUk/briel+30ZhQJ0zkuaxOqfHMAhAoITA4CWyv+s4W3xxhE6yMtqvw4yHBr3O6pa79EJ27ujP5Ra9WOfUGNYBAvGk7TFTyeNHYeeN64fn3NMBaSBECECgRoFyx35EvKNHMj2P1TglNg+4QCLl/KOIfKZUmEz8QtZUiw8Ow18IBZakRevf5viekLFMVSFi31seQ0iClCDQAoHyV6uNDqixTelwP/sDDXqdu1nCsJcJUW7GcOZ7rWH1DXVOi2EdIlDmW/Vtlqkt7JA0ECYEIFCjAI79GsFCsrlu2MX7kCPT0xnvUwdu+Sd+ISRpIo0SAnoy/x1iPnv6Pwnx53Om+g9AgwAEGi8QN5zPMckXZsws8h9WJvbexq8YrBnRoM+iHnue5P5jIooRkZDw562M+sVZTImhHSSwdGj8iIgX+Q0R9RfDFqKbcqYW76AUECoEIFCHAI79OtBCMEQ37B8R0bteSoWf6pPoazIZLl7+jr+QCySMiQuFFJOIFCJyxFPen7su+r2Qp430INBWgfhFhbNY8W4jIpWIPCbPyJo9pR/Y2dZIG784GvTGm2JGCEAAAhCAAAQgAAEIQAACEIBAzQJo0GsmwwAIQAACEIAABCAAAQhAAAIQgEDjBdCgN94UM0IAAhCAAAQgAAEIQAACEIAABGoWQINeMxkGQAACEIAABCAAAQhAAAIQgAAEGi+ABn0Wpomk84/CL//0ijAN5obxG7izIO26obphFx92sWIycSH5cM6Mbew6CCQMgS4XwPtJl+8Au9MXThjO14Too3s0hMh7j2X2fB867RXA8dlef6zenQLxlL2chUYms2fhL2Uz6me7QQMNep1V1pP5W4n5A9OHM/Hns/jZjTpVu2uYnrJ/TkJvmZ61CA3mMviip7v2BmTbzQJ4P+nm6r+cu560HyGmo2e8J7Dy/txw9NtQao8Ajs/2uGPV7hZIGM7npPTPrP2blYmdE3YdNOh1VDiZlNgYOxN+Q7PDqsLMUsfUGNIlAitWyNx81HnRL13LVBUi7ENdsjsgzS4WwPtJFxd/SuqDxthhLkWf8H9P0PB5rQ27Co7PNqBjya4XEBFOpBzPD6JP1J5MhvNhhsILfh3V1S8cP5wikcf9hi4eUGPpNNt1TI0hXSKwfGX+eM/lB/z3obvVdPr0QpdwIE0IdK0A3k+6tvT7JJ5I5T8swv9a5nNFJJ1m3w+sUGyOAI7P5rhiVgiUE6h0Eotc9wjr+l7fLzTDoIsGvY4qDl4i+7uOs6XMG6maTjOaqzpsu2XIoCGHueT4vrgsHlDxYaxbdgbk2dUCeD/p6vLvTT4x5Jwmntzhp4Er89qzn+D4bI87Vu1ugUpXrkRUddHINfx8mJXQoNdVXWHd8L30YqdlavPqmhaDukag/OU78qRlxhZ3DQYShUBXC+D9pKvLvyf5wUFR3R6n5JV3InR/LqOdDKd2COD4bIc61oSAbtjF20DnlpLohttA0aDXeQwMJuUol51Hpw+P9KrzR67mHXVOi2FdJKAn7dcT0/3TUvZGI+rcTat5vIsokCoEuloA7yddXf69yccN53Qm+fFUDSYaVyZ+u9/IyCkOlNojgOOzPe5YtbsFBj8p+7njzvYZfZaoR49k+LGw66BBn0WFl2yUyNy782copBwXEb5nZDh6N+HhcLMQ7b6hgzeKKn9w3y2ed7Sr0C9uGlZ/hYfDdd9+gIwhgPcT7ANFgWTykdgEH/Yej/gwEvqpldF+DZn2C+D4bH8NEEEXCojwYKpwqsvyBo+8P+w8NfajTeey2w0SaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAlQoAQgAAEIAABCEAAAhCAAAQg0A0CaNC7ocrIEQIQgAAEIAABCEAAAhCAAAQCL4AGPfAl6qwA02nR/ry9cHKEeL6qRB5Yey1v7qwMEG29Aqh9vXIYV7WACA8m7WPdaOQoUbwnD+tXf5dOs1f1eGwIgQAKxC+XeTRROEVhisYK0fuvv563BjBMhFSDAN4Pa8AK+KbptCh/HnVey55yaKTgPjaS0f5IzBLwsBFehwugQe/wAgYp/Hiq8CEW7xvTYtq6eEA9AB+ig1SpxseC2jfeFDPuKzD4SdnPHXe2T3eJiHr0SIYfgxcEOlEgYdimECWnxs5EP8qa2pmdmA9iJsL7YXj2gsGkHOWy8+iM951edf7I1bwjPJkik6AJoEEPWkU6NJ6VK6V31HXGSoXPxN/JmurfdGhqCLuCAGqPXaQVArphv0hEc0utZZmqQoQzGq2oA9ZonEB8pX0Ku3RPyRmFdCuj5Rq3GmZqhQDeD1uh3Ko1hHXD8btCa6dlavNaFQnW6T4BNOjdV/OmZKynCktIvI1+k1umhn2tKfLtnxS1b38Nwh5BMimxMXYm/PKMqOqikWv4+bA7IL9wCehJ+x5iOsUnqzHL1OaEK+PwZ4P3w/DUePAS2d91nC1+GS0eUNV0mgvhyRiZBEkATVOQqtHBsSRStiFCw2jQO7iIdYaO2tcJh2FVC6xYIXPzUad4Br30n+seYV3f+0TVE2JDCARAQDecp4jkYLxvBqAYDQoB74cNggzANPqF44dTJPJ4mQY9lk6zHYBQEUIIBdCgh7Co7UjpfCN/gkP8O7+Pz5apRdsRF9ZsvgBq33zjbl9BRDiR8r3UkPpE7clkON/tTsi/swR0w7maSC73ifouy9Te1lkZIVq8H4ZnH6h05VZ2WFUYD4sLT8EDlgka9IAVpJPD0Q27eInpwuk5KMSnrjfVn3dyboi9vABqjz2k2QIJw/mckHxhxjoi/2ZlYuc0e33MD4FGC6TTEt28zXFKzTvujA3csm7+C41eE/M1XwDvh803btUKejJ/KzF/YPp6TPz5rKn+Q6viwDrdJ4AGvftq3rSMiz9F8eS2wm1C8t49i7gK8dvRnDeNPDATo/aBKUWoA4mn7OUsNDKZJAt/KZtRPxvqpJFcqAX23L5xHxEdsyfRreI5J+aum/NUqBMPcXJ4PwxXcRNJ5x+F5TOTWQnTYG5YWx+uLJFN0ATQoAetIiGJp3hJKi79CUkxa0wDta8RDJvXLIB9rGYyDAi8gLAIEd43A1+omgLEa1VNXIHeGLUMdHlCFxwa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVFAlBAAIQgAAEIAABCEAAAhCAQCcKoEHvxKohZghAAAIQgAAEIAABCEAAAhAInQAa9NCVtPMSWrr0Tz3a/Fcc57oUjbnqH9au5Z2dlwUirkdgcPCpvsKc/Y8rjo3uev4PIyOHjNUzD8Z0j0AiKYd6PH4EKb1P5VbTn4hZuid7ZBpWgcEhOdilwiujXvS5G4bpUcZ+HYpSL1kikfmH2q8mV9mP1fGHR67pfz4UiXVTEiIcX0lHkjd+iCK9j2cz/GQ3pY9c2yOABr097lh1j0DCyH9WiL84FYSJ/iVran8PpHAL6Ia9hohS07IctkxtKNyZI7t6BFaulN5R1xktfpczdXxEcQ4ZWTPn6XrmxBgItFtgcFBUt8d5gYjm7BNLwXuVtbbn0XbHh/XrF4gbzulM8uN9ZhB61MqoxxDhi8X6ZVs3cnBo18Gupz41bcVCf0TtX72ax1sXCVbqNgE06N1W8QDlu3xl/njP5QdKhsRyrjUc2xSgcBFKAwX0lPN2EvlJ6drzO6xh9acNXA5ThUBAN5zniGRRqVQsU8N7WQhq3I0pxA37QSZ6dcn9elhVcIVIZ+4VyeQjsTE+fKJU9DgJ0Tk11Q3b5wot3mKZ6gGdkwki7TQBfKjptIoFPl7hpUb+6IgoC6RXfTC3il/0Czlu2Hcz0V/6/PuLlqn1Bz5dBDhFoPra64b9P0R0pA/fnyxTeyVoITApsCQtWv82J+8rElEXWqt5G8QgEBSBwUHp4zl0nDj2zpHrtD+WOmOaTouyeZvj+sXMoi7G5bRBqWhtcSw38ud4xN/yG4UvFWvzTH5aFo3vdI4iKjyZzfS15BJzfaUMkOts9Yt09K1qdNO57Hv81pYhtobAvgJo0LFHNExg0JDTXXL2vZyL5GnLjB1SahHdcJ4mkoPwBtawErRtotprbxfPLMR8As5bptbTtmSwcOAE4pdvmccT+xUvby/9p6pHWNfwE4ELHAF1pYBu2A8R0bFTk2eWv8sOx74+9b+l0xLdvM1x/JHktZYZK32VWVfKdk7SumEXb98q3sZV8g8NenW1HBy8V/V6ThyTabc29bjq/tdfz77Nc3Wzl99Kv0QOJ8d53G+rPnmiJ5N5lf8Xx40IAnN0rQAa9K4tfWMTL3eGi4l+njW1U6evqKcKGRLvIp9I7rNM7ZTGRonZmiFQV+2T+duI+X0l4xH5tpWJvb8ZsWLOzhSodKbRHVB7N6S55OWknZkxou5Ugbhhf52Jzi0Vv/Ts6M+tWjTlqjJh3XA8/wZA3S+TYf8vpjoVqQvi1pP264npfp9UxTI1pQsYZp2ibtjF+7xLfmHf7C85lqalJ7LN8b3PPDusKniY46xLjAl8BNCgY9doiEAi5VwiIl/xm6zUC2kyKbExdkrfo8XqQdlhfrYhwWGSpgrUU/v45TKPJ3Y/8GvGn/So/eVujWhqMpg8kAJLl0pPpN//gxJLYXGrLnsMJBCCCoyA/z2rRCR0rZXRLpkarG44lxPJ1dMTEKKHcqb2msAkhkBqFkgYdvHMb+/Mgd5Zltnz/Zon7LIB7X7dTyTHDhWObvZjXzygquk0F7qsLEi3RQJo0FsEHfZl9JR9EwktraVBL247eIns7zrOH4loYM9YR4mqJ6y/lh8Ou1lY8qu39sWfyxJ2ipeCTj69eBeL+mrccxmWPaNxefg8SXfvAiz0lmxG+2XjVsRMEKhPoFyDrjD/2/ph9ZzpMyeStiFMwy//d7nNMrVz8KTv+moQlFHFy7MLsRN/yUwnTcYkrLw/Nxz9dlBiDHIc7X7dTyTtNwvTL/yMZl4RE2RNxNZpAmjQO61iAY13mTExqJByY60N+t43LZHd+yIuFwpogcuEhdp3Xs06LeI9P0Vl+8XdN0c9IHMVb+m0vBBv+ATKNehCnM6Z6pV+WRdv5UhfQYInt4drvxARvvJK4nSafW9nCFfGjcmm3a/7xQfTje0q/npI6b/Rp9Xopk14SFxjqo1ZpgugQcc+0RgBEUVP+T6N9muWqX28MQthlsAJoPaBK0kYA9IN5xkiObDEm1gha2pqGHNGTp0n2TwZ9QAAIABJREFUoBv5LxLxZ0tFPjrwcGxT+gTfL5o6L1tEDIHmCrT7dT9h2M70B9S9lDE/a5mq70OOm6uC2btBAA16N1S5RTmuuFgW5wtO8UnKe/crEfpxLqO9q0UhYJk2CaD2bYLvsmVLfFibiEz8tn9k5JQyT8LuMiSk23aB0g+KwxPZ214YBNCRAu183S/epuD2nFh8Xs6UB9WhOe/IHanDgkaD3mEF64Rwiw8AU/K7+g5dMGcLLunqhIo1LkbUvnGWmKm0QPGyR+ob29/e3vfChg14cjv2k2AKFC9rvuAyWuSNvpAfGRnYEcwoERUEOkOg3a/7xQfWafPHFtBY3/MjI4wvhDtjt+noKNGgd3T5EDwEIAABCEAAAhCAAAQgAAEIhEUADXpYKok8IAABCEAAAhCAAAQgAAEIQKCjBdCgd3T5Wht8Oi3Rp3bYrymIMjeW3/XQunXzX2htBFgtrALYt8JT2Qsu2L4gH5vz6ih7Ow/ZT3sQvxMbntoik+AJLFkikfmH2q8mV9mP1fGHR67pfz54UYY/ouIT+J963j7GJXeh2tP7yA1fYd+nf4dfAxlCoHECxZ/k9Xj8CFJ6n8qtpj91y69coEFv3D4U6pniqfyHWPgb+yQpdK+V0d4Q6sSRXNMFsG81nbhlC+hJ+x5iOmXqgsLyt7nh2DdbFgQWgkCXCMQN53Qm+fG09+VHrYx6DH5DvXU7gZ60X09M9+/zuif03GEL1YPxHJ7W1QErhUtg5UrpHXWd4gP6olMziyjOISNr5jwdrmxnZoMGPewVbkB+K9IyN7/NebH0VLLKMmOfbMAymKILBbBvhafoupG/mogvL5VRbECdtzbNO8OTLTKBQHsFkslHYmN8+ESpKJjoX7Km9vftjbA7Vi+eOd+8zecnZoXutDLa6d0hgSwh0FgB3Sj+Br0sKjWrZWqh719Dn2Bjd5funE1P2eeR0A1+2XfDgdKdlW9+1ti3mm/cqhV0wxbftZjOt4a1G1sVC9aBQNgFlhv5czzib+F9ub2VHrwo/2pX4Qf9osgOqwoz+782tjd8rA6BQAosSYvWv83J+wYXURdaq3lbIINvUFBo0BsEGeZp4kb+Kib+FD4IhLnK7ckN+1Z73JuxarkGXUj+KWfGPt2MdTEnBLpRQDfsFBGtwftye6uvXzR2KinRu/yiWDygRnCZe3trhNU7TyB++ZZ5PLFf8fL20n+qeoR1DT/ReZlVHzEa9OqtunbL5UMTZ3ie8kMfgDHL1OZ0LQ4Sn5UA9q1Z8QVqsG7Yu4ior1RQiuKduX5Nz48CFTCCgUAHC5S673lKOmKZmtLB6XVM6OdfKgc4tvMsvijpmJIh0A4QKHvrCBG5A2rvhjSXvMWnA9KrKkQ06FUxdftGwvGk4zLTjP1FPHpD7jrt3m4XQv71CmDfqlcuaOPiF9mnsEL3TI9LhCSXUSN4aFXQKoZ4Ol0gYdhjQtQ7Mw/vLMvs+X6n59cp8ceT9rPMdECJ175P5DLazZ2SB+KEQJAEEil7tQgNlYjpp5apvSNIsTYjFjTozVAN4ZxLl0pPpN/5DREdM5kee+7p2et67wxhukiphQLYt1qI3eSlEheNnyZK5I4pyzzsjqqv27Ah3N90N5kV00OgpMDg4L1qIXbiL5nppMkNhJX354aj3wZZ6wR2n+3b6txOTKftrYMQmvPWlQArhVQgbuSvYOL0lPS+apna0pCmu09aaNC7ocoNzFFE+MoriXFPVQNRMdVuAexb4dkRih9Yr7iCBA9HCk9NkUlwBfDaGYzaoA7BqAOiCJ9A8TNFOk3STVfioUEP336MjCAAAQhAAAIQgAAEIAABCECgAwXQoHdg0RAyBCAAAQhAAAIQgAAEIAABCIRPAA16+GqKjCAAAQhAAAIQgAAEIAABCECgAwXQoHdg0RAyBCAAAQhAAAIQgAAEIAABCIRPAA16+GpaMSM9OfE3wsorFEV+kl0Te7DiAGwQEgGJJJL2+0XhRRqrP1y3hv8nJIkhjS4S0Ffab+QCnUwR/mN2jfrjLkodqQZYIJGUQ1123hMl2b7e1L5JxG6Aw0VoARe4YEheaYtzJnuyJZvRbsP+1N6CJYacd5Irx0qU7rNWa79qbzRYvRsE0KB3Q5X35Lh8yL3U89wvT0/ZMjXsByHfDxIX2etEofNR+5AXOsTpXX75lnlbJ/YbnZ6iwuob1w/zjN9fDzEFUguYgG7YHhFNex+V71tm7KyAhYpwOkBAN2yZHiZ7dEP2Ou2CDgg/VCEuT8kbPHFmNOQLe3b0r1q16MVQJYtkAiWAxixQ5WhiMCIRPeUUfFYQy9SUJq6Oqdso8O70joFDt/Vu9QnBtUwt2sbwsDQEqhIo9aF1ciC+ZKyKEBs1QUA3nF1E0ldy6oL3Kmttz6NNWBZThlRAN+zi57RIqfQeG9g+7870ATtDmnog08L7TiDL0hVBoUHvkDKn0xL986hzfDHcw/rV36fT7Ndsl8xIT9kXkVDGL13LVCNEXDwLgL+ACSxdKj3Rfuf4iMj4wQu1h2r9DXrdyH+HiM/2rz2uoAhYyRHONIFEYueB0qc94wfDCr8Ll7tjt2mHQLkP8ER0u2VqZ7QjrrCtmfy0LBrf6RxFVHgym+l7Mkj5DQ5KH8+h48Sxd45cp/1xNr/VXG5/YpJPZ83YPwUp9zDHUrysXTy53S/HWGH7vLVr8YVJmPeBduaGBr2d+lWuHTfsHBMtm7q5EN2UM7V4lVNQwsh/Toi/4Lf9aETt27Sax6udD9u1RkA37F8S0ZumrsZMqeywZlYbQSJl3yFCp6FBr1YM2wVNIJEcf5tw5Ke+DbrQimxGWxe0uBFP+AXKN1T0k6yp+b72hl9n9hkODt6rej0njgnRPld69bjq/tdfz35Xhs1+4Spn0A37ISI6dt/3aPm77HDs61VOsXezjRsl8oO7fK90JCZOZ031ylrnxfb1CSSS9gXCtNZ3tOseYV3f+0R9s2MUBMoLoEEP+B6iJwt/Q+x9u2SYorzPykT/vZoU4ilbZ6EsmrRqtIKxTSLlrBKRy0pF48bUgzd8mX3PKE4doxv5bxDxh1D7YNQVUdQuMDgo+7k9znbfkRF6Ex7cU7srRsxeoGyDzvyD7LD617NfpXtn0A27eOKgp5RAu29tiRv215no3FKxSc+O/lwd9yiX3Z/EuzSb6bmme/eG1mZefCApufRffqu6o2rvhg080dqosFq3CKBBD3ily705EdGEZWq91aZQ5oW/YJmaWu082K41AuXfqOnmbEb7RFWRDIqq9zi2z7Y7LVObV9U82AgCbRIo3uYR6Xd8r/BhKSwO2mWvbaLCsi0W0JP5zcR8aKllRyd2zt80MrCjxSGFZrmgH/dlb2+Q/8/encdJUpeHH3++1VPVM3vCLjcsiOARoyYeifGKoDFqNPFc8vtpxGW6GXGha3aBH0b9qe0RD1R2p3q5hu4Bj6hhPaN4BtRoYg6Vn3jFA0UWQVAWdmF3p7um6/m9GliYne3qs3qmqvqzf+7U9/t9nvdTfTxdl1xUKTnndVuMnFtr3HhsRdMfJG6zR2Q7Twfo1rTX7fOFvcepGdkRNn7dGtvu9nLTXmNh3PAJ0KDHvOZtrm+Tbn5Bfo2rTxoR/zsLUg4qntP0hiQxp0l9eG1q/9WK5/xlpwh5t/piFfOZBdv7Fc9xOp2D7RBYKoGJTXuOrgf2rWHrG5WnlktO43IQ/iGw6ALNbhRnVCbLpc4vRVr0oBOwYBxf95s369juoP4iI8HRqjIVxmgZ85krpuyX9sKcc2uNH9QPOGhiRF9S9rKf7WU+xvQmkC/U/kyNfDtsdK9nSfQWDaOGTYAGPcYVn3i9rq7va3Fap8juiues7jaFCVeP1xE57u4dcv327Vx33q3fYmw/UdCT6sYPvfuvEbm07Dkbu42l8WzV2WDfUSesGftOsWjCjqp3Oy3bIzBQgYkJtevhZ4HIsuX2EaV3m98NNAgmRyBEYNz1TzWi183/sxHZZ83esHp6+sk+cL0JxO11Pz4593KjwSc6yUbFFGf6uF68WFTn1zv3PXnUGvvtpVvNLztZk22iFWjcmHDvHv+OsFl332aPbOeMhmjRme1BARr0GO8MrU51ui9slSdWSs71MU6B0HoSUJNz/ZZ31M/O2SsvucTwuJWefBmURIFcoRY07pLULPaKZ1v93Dk5iR7EHA+BVk2kqnxvpuQ8KR6RJjOKnOv/VkSPXBi9EZkrL+KlefcdOa/7eztV3L3mZ9ntxcfyI3inYLHcrsV3MRWtlHg8cSzLlpKgaNBjWshCQbN7jR968wlVc/5MyeZmITGtXz9hTZynh9V9P/RooLHMqeWt9tf7WYOxCCRJoN37Yca2D5/+gPl9knIi1nQI5Df5p2igXwvLpjxlW8YYTUe2S5NFkyZ9NjN7w6rFPDshNzm3XjS4ujMBfVzFy/6ws23ZKq4C7b6LcQ16XCuXjrho0GNax40bdUV1xG/cLKT5Px7vENPK9R9W7ux9J0gmc1PYTOvW2FlOT+/fmRmSI8D7YXJqNWyR5ierf6tqPt7i/TpTLJqWZ0QNm1kv+TbOVJBlew+r3b3srqW4c3Z+sua2uubcduwjg913Vae5KWAv5Y3lGL6LxbIsQxMUDXpMS62qJj8ZfprzMrVHSyVTjWn4hNWHQLujhRyR6QOXoYkU4P0wkWUbiqAn3L3H12Uk9FnI3dzIdSjAEprkWW71sb6YH4QdMql4zgHPaU9omoQ9T4DvYuwOSylAg76U+m3Wzrv+m1X07QdtpvqZSinb091BY5wuoc0TyBWqnxZjXrIQxYh5S9mz3wEWAsMmwPvhsFU8OfnmCrWfi5GTF0asxnrxzNTIPycnEyJtJZBza43LaNYu3MYS8/QrPPvf0UufAN/F0lfTpGREgx7zSo1P1s40KtP7wzRq3lUu2W+KediEF4FAvuD/gxp94/6p1MjEzJRzRQRTMwUCiRTg/TCRZRuCoNXkXf/DKvKqB5JVkeCvKt7ol4Yg+aFJsVhU65adc59V0Rc9kHTdEvPnNOfp3gX4Lpbu+sY1Oxr0uFaGuBBAAAEEEEAAAQQQQAABBIZKgAZ9qMpNsggggAACCCCAAAIIIIAAAnEVoEGPa2WICwEEEEAAAQQQQAABBBBAYKgEaNCHqtwkiwACCCCAAAIIIIAAAgggEFcBGvS4Voa4EEAAAQQQQAABBBBAAAEEhkqABn2oyk2yCCCAAAIIIIAAAggggAACcRWgQY9rZYgLAQQQQAABBBBAAAEEEEBgqARo0GNU7lefr0c4Nf/HIrK2EZaKfnrGy74sRiESyoAEznD9p1mi14lI9v7Sm7dUSvY7B7Qc0yKQSIHxc+ZeYKzgsyJii0hgJHDL3ujFiUyGoBMtsGHTvodlgsz3RWTV/Z/XcuWM54wnOimC71iAz+yOqRK/Yd6dPVvF8kTEEhFfA+vFM9tGvpj4xEgg1gI06H2UZ2NRV9Tumnutqj7GWNZ/HndI5qpi0dR6mTJ39r4TJJO5aeFYI2Zf2bOX9TInY+Iv8MrX3X3omLP8ClF9+UHRGvOdypT9J/HPYrgijPJ1P1xy/WU77vpvNqJvP2gW1WsqpeyL+pud0Qh0LpAr1J4gRr7XZMTOiufc9wN7r/8KBT18r9ReZyxzvBi9dtdvnKu3bzf1XudjXDQCB7zvi5VRCV7DZ3Y0tnGeJVeofl6MeeHCGFXMW2Y8+x1xjj0NsRWL6txyd32DBsFTjDE/dg4dufySork3Dbm1y4EGvZ1QyN/PKPjPsox+feGfTVB/eHnb2K+6nTbn1qoi4jQbl7GsF01vHbmm2znZPt4C+UL1ZWrMJ1tFqffuWjUzc/g98c5keKKL+nU/PHL9Zqom5/pB2Cy719jZ7T3+ONpvZIwfPoHxQi0wRpp+f7KM/6dXTC3/715U8m5tQkUuP6gZGLVXzVxo+BzoBTWCMWHv+82m5jM7AvCYTLG+qM6qnX7ju3nTfxXPtkSMxiTc1IWRP2ffiWplfrkwsUDNKVeW7G+kLuEFCdGg91BhVTX5yeZfFlVFZ0pO4zSYrv7l3Froi9yIXF32nL/takI2jrXA+vWaWXW0P9c+SPMXFc++tv12bDFogUG87gcdc1rmnzhPD6v7/u9C81F5YqXkXJ+WfMkjvgKt3gcaURuRy8qe87puM1i/WcdW1f29TZs+0d/MeNnjup2T7fsXaFfvg1fgM7t/9XjM0OJMmfsCzKyxl08XTdPXbDwySHYUrX4ILU/ZljHp/nGEBr2H/Tc/qUeq+r8NG7pujW0Xi6aD5uuhGVo16GLko5Up51U9hMqQmApMFGZPqhvrF23DM+ZZlSn7X9tuxwYDFxjE637gQadkgdzmXWukPnZnWDqZQB8/vS37g5SkSxqxFmh9Nocx4pWnnMluU8i5s88XsUKvax2GL6Tdmi3G9u3e9w+Kgc/sxSjLoqwxcU71cXXL3BC22KqMvWzLFrNvUYIZskU2FHU0s9MPtTXGPqo8ZW5PMwsNeg/VPePcveusuZGbWzTo2W6vRc8VaneLkdXN5lTLPG1mq/3tHkJlSEwF8puqf6CBadwQsOW/ZWqPlkom9BSrduP5e3QCg3jdRxdd+mdq9SPm7tvsEa7TTf8+EJcMc5N+VVSbXpI2IsEjL/dGf95trGdOVl8eqPlEi+8VmWLRhF7m0e16bN+ZQLv3/YWz8JndmWsStmp3pmPFc+ihBlTI88/X5XfV/NBrzYORueOvvGjZjgEtH4tp2bl6KEOxqCM7dvp+2NBerktZX9QVq3b6za4xu7niOSf0ECZDYizQ7tfBRuhG5UPlknPwjWhinFeaQxvE6z7NXlHnNu7OvdRI8KmF86roe2a87BuiXo/5EAgTaHFU9fsVz/njXuTuuzmc8e8IGRtUPCfTy7yM6U+g3fv+/Nn5zO7POo6jx93qu42Yvz/4c8d62Yw38uk4xpyOmFqfqdTLmcpJc6FB77FiuUn/PaL6+oXDjWW9srx15GPz/7/xBt94PEOxKH6rG0rc90Fwp/9VMfJMI6YWiL5+xnNKPYbIsCUXULO++CP70Fv/UKenzUE/6IwXqh80xpx+0D4kcq8l9b+Z9sa+tuQpEMABAt287qGLXmDjubquNlf7loo5TozsNGo/v+yZ70a/EjMi0FqgWNTRHXf63xAjTxYxs5IxGytbRj7Yj9t4ofolY8zzFs6RseRJ01udZneN72c5xnYoEPa+L8bcJqpHGjG7LJl7OZ/ZHYImbLO8q09S439JVNYY0VucEecZl1xkUn30Ng4lym+a+98aBB89KBZj3luZsg/60SQOMUcZAw16H5r5TXMv00A/KqJZEbNLLXnB/FPRG3cgDEzmxvl3e23WwPcRAkNjKvDA85q/cGB49uMqnvnh/P8bL9Q2WEauUJHGjzi/N0afU57Khl7zFNN0hyqsdq/7ocJY5GTH3ernjJgHH6lmRH6w67bPPGH79tN4DNUi14LlRAaxP+YLNVeNbGn8qK+ivzFzekrlktH29yuhIAMVyLm1xoGX/7V/ERXZNzJmHz39XrNroAsz+ZIKrF9/dWb10S+5XkUe91Dt9fMzXvavlzSwIVl8fJP/VBPIF0V0tYipGss0DoIedCZdGjlo0AdU1Q0bdDSzqvkNDrimfEDoMZl2wznVR2cs85Nm4WTG7EP4QI9JoQgjUQILm6GHgtdfV7zswxKVDMEmXoD9MfEl7DiB8cnamUZlutmAypRtScrvJt0xVAo3zLnVm0TMQZeZqtCkp7DcsUqJBn1A5Qg9Jeq+9cyuimcfMqClmXaJBfJu7RcqclKzMIyRj5WnnFcucYgsj0CiBNrdrOdQx17x/vebPYlKimATK8D+mNjS9RR4qxtUZsQ8c9qzv9XTxAyKtUC7G5WtW2Nz48ZYVzDZwdGgD6h+Obf2fRF5fNj03P2xf/hiUa077xR77Vrx43R321Yf5qpyx0zJObL/7Id7hrjWfrirMrjsxy/QlWbW3x22gm3VT7xs69hNg4uAmRF4SID9cXj2hnbPQVfLnHf8ISPb3vpW8dP+XObhqfr9mZ61ad/D/CDzq7C8uWP/sO0Ri5svDfqAvMfd2uVGZKL59KZa8ezRAS09FNMO4tq/qODGC7XbjZEjms+nX6p42RdEtdYwzhPn2g9jPRYj53Z3UubSkcWoAmvsF2i3P4rInsyYfSyXM6Vjn2n1o/v8DFXknBnPuTgdWZPFxOt1dX2ff3eYBEfQ2UcGKUCDPiDdDZv0kEzg39VsemNZLx+WmxwMgjfu1/7lC/ueqSbzr81ytzP2cZdtMb8ZhMswzBn32g9DDZYqx5xbaxxBX9lkfa14jrVUcbHucArk3doN828c1UyB65PTsW/kC/4/qNE3dpKNmuDFM1Oj/9zJtmwTf4GcWwsa16U2ifSeiuesin8GRJhUARr0AVbujIL/LMvo1w9YYkgeDzAo1qRc+zdemP0/xlgXHuAQ6Esr27KfGZRN2udNSu3TXoelyI/aL4U6a7YSaNzdedXRL76x2Q2k9o/j+uT07EO5QvXTYsxLOsioXvGcxlNZ+JdwAa5BT3gBEx4+DfqAC9i4funMTXJEPbPPOWHV2G3Fopkb8JIdTT8xoXYwVnuZijzBiFxv7XM+1exZ3R1NtogbJenav/VXa2b1N/cdbWW0fswhy26Py3Xymzfr2O45/38bSx+hRr+17pDsF+MSW6tdKUm1X8SXxFAsRe2HosyJS7JY1GU7dvrhNyc0cm5lymk8Mo1/KRAoFDS7z6o9StRcqiJPC0uJewyloNhcg56OIiY4Cxr0iIuX26xrxJKV9ZVy+1VFMxvx9JFMN75JH24C/8aFk6llnzSz1fwykkUGNEm7a/+W7lpUNWedf+/hQS0zKrNjt8X1x45xd9+pRjLXLSzPMrVXl0om9CZcAypnV9PGt/ZdpcHGPQhQ+x7QGDJQgbD30vmLBiZ4/pVTo18eaCBMvmgC426tYES8dgvSoLcTSsbfuQY9HnVqnMlw79zs4UF29K5huq8HDXpE+9/Epj1H1wP71gXT/WvFc57V+L+Jy9Ve/j8ysmWL2RfRkj1P0+qGJ0n4YGlx7d/eiucs7xmmx4Fnbqr9cRDI9fOHq0hlxnPyPU4ZMkzN5s0yumePzPXyA0Djzuc7dvr15pObOyuefVi08UY/W9xqH32Gvc1YLKpzk4gV1x8Fe8vqwFEtrgWUimdbIkajWIc5EGgn0Pq99KHRu59hj2w/zYS857Zbhb/HR0BNruD/QIz8YbuYuFFcO6Ek/V1NzvUb16A3+8e9TwZcypDLiPZmZu3Dp6fN3gEvv+TT06BHUQJVk5sMeREb8xlRPeC6JaP6uXIp+zdRLN3tHK8q3Llq1KzcFTYuCY+NiNOLtlD4eXavOaHpmRJRflDnCrVvi5E/m1+3PaP+sR+/cPnCH4VCd4n8OftOVCsTeoZEEu5IGqfad/vaG8T24+7eZxgZ+eb8udUElZmp0Yh/HBpE9J3PuWHDr0Yzq44N/XHTdqpHXvb+lXd0PiNbItC7QLv30sbMGbVPni6Zg85U631VRi6VQM6tfUVEnttu/cH8MN9uVf4+KIGzzr/nCL+WvT1s/nVrbDsul60OymAp5x32AzI06BHsfXlXn6Tif6e7qYJLKt7o2d2N6X/rifN2H1b3R38XNlNmjb18upiMX6bicNpLzt33apHMh8I8ozgjIedWrxExf9VsjYpnj4h0doTmtYXqY+aM+VFYrM97hj1yWkKO9sSh9v2/GvubYWJCV9dHmz8Cxmhwfrk0+oH+VojP6HanGhpLH1Pemv1JfCImkjQLbHBnJzNibW2VYxTv/Wk2TEpu7Z6Dvj+PzKzt9HJmW1IchjHOCXfv8XUZ+XWLBj1bLJraMNoMOmcua2v+6IBBu6du/pxb/byIeWG3iS3FB/j9RyBfEnqjunVr3pUpFothp/R0m2Lqt89NVt8jal7fqkFfv37H2Kqjj3ipEXOoZcm3p7c63+sGptUlCUb1TeVS9l2dzDcxocvqo+E3NFqK/bGTuNmmucC4W/2VEfOwQf44FBf7QuHOVXtbnPkjc8EjKpeM/iIu8RJH+gQaZ59lzcp/MSJ/0kl2vJ92ohT/bdo1Cg9kUK14zmj8syHCbgQaN1Ouj/qhDXh5yraM4dKqbkw73XbzZl2zu+7fGba9ZuRPZrY4XR4Y7XT1eGzHEfQ+65CbrN0sKut6mSYzax8yPW1CTzfvZc5OxuQm/XeI6v89aFtj3lmZst/cyRxsc7/AeKF2ujHywXAP8zkR/esFf9eKZ9udHPluf62jfq7idX65RNiPSUZ1fbmU/QR1HYzAGYV7Dh+x7UP9ndmbr7oqmptHjhdqgTFNn896XxJpahB4zNpg9ktm7Uyg3aVhTWbhUVud0cZ+q8b9g+o/Cm/SGgkYo39UnsreEPtkCLBrgdxk9Qui5gULBwai//dKL/sPXU/IgI4ENm7Wk6t1/+dhG1smePEVU6P/3NFkCd2IBr2PwuVd/24VXd3HFEt2k4n8ZPXvVE3j1OzGPqDG6OnlqexH+shl6Ibm3Frjeu4Te0x8T8VzVnQyttURdFG5tFJyNnYyz/5txif9NxrV+z9YjNRU68+f8ca+1s0cbNuZQO5sPUEy/k3zt1bVHTOl7PGdzRC+Va5Q2ydGQo/apKlBbygk/eaW/dab8UsnMO7WbjAij+s0AjXBi2dS/uWxU4ukb9d4XOqqb/mtHo8bVDwnk/Q8ib+5AJ87S7NnTEzsXF0fXXF32OrD8KMYDXqP+17Ore4QMce1HG7kI6Lyd6224SYTPRZgiYflJv1vierT+wmj0wYq59Yap/msabbWrN6z+h9La2P9eLR+jJI9Vq2cG3bXfLm+4jlP7Ce/nFv9sYj5g7A5Ot2/+olhscZu2KSHZAL/rtD1VJ5YKTkHPElhsWJjnfQLtPyR9KD09YMVL7sh/SrDkWH/l6OKAAAgAElEQVTj7CfLZFvegDJN77XDUdXOsswVak8QI6GXJNbX2GNpfnJKZ0qD2apxn6G7av69YbMHI3PHX3nRsh2DWT0es9Kg91CHTm8aYoy8RlRerSJ/EbZMZtZePgyPC+iBObZDcmfvO0EymQOOivYSbDcf6jm31vgFf8Gv9PrGipd9dy9rM2bwAvlNcy/TIPhkeAPd36PBcq7/ZRH9y2Fo0POT9z5e1fl+WK6q+nczpew/Dr6qrDBsAh1eg3w/i8q3KyXnacNmlOZ8c+6+54hk/qVVjt18lqfZKm25jReqrzLGhJ5ZakztqPLUitC7vKfNYzHzKRR11d6dfuglwFbGfuwVW8JveryYsQ5qLRr0HmQLBc3uNX7TR2vNny4wcu5IJrgmmLN+Oqgv6T2Ez5A+Bbo7mhK+WLcf6mdt0ofV6rWnZyz9/XOfnv2XpNxxvU/uxA4/c5P/3iDQC8IS6PcZyXm39iQVaX6TFCOXV6acsxKLtyDws8/VR87O+aHvo8ZYrylPjYQ+TSEtDuSx+AKFN+jhe/f4LY+gqrFescbOfOn97zd7Fj9CVhykQL5Qe50auYQGfZDK8Zw7Pzl3umoQeo+h0eX2YRe/24TeyCyeWSUjqolNe46uB3boY4TVmnvazNZl305GNr1FSYPeg9vVV2vmy62vSbpvVlXZPFNytubcWuOu6AdZG5H/KXtO6CmqPYTGkAELbPw/elS16t8WwTIfrHgOp0FGABnXKQZ9BL2Rd96t/ZOKnHaAgcqusmcfmqa7y244e+6vMpngmrBaG2MuKE/Z74vrvkBcyRXIbZp7iQTBp2nQklvDfiLPTfqvF9X3hM9h/rPi2X/WzxqMjafA+OTseUat94dGl7EfUdlieHrIAMrX7hR3EX1cxcv+cABLx2ZKGvQeSnFGQQ+3TOtf1BvTGss8p7zVvk5EMzl37l4RnX9Dp+9XPOePe1ieIUsokJusrhc1V7cLwTLWxLGHZq7cu/f3Y3fOrm7c6MJ6aIzZXvHsA5uqdhPy9wQKDPYa9P0g45OzjzKayRujK1TNJyqefW0CsVqGPO7uO9VI5rrQjYycW5lytqQtb/JZeoG8WztDRWZa/Dh0e3nKPmrpIyWCQQjkJmubReWi0PoH9YeXt439ahBrM+fSCuQm59aLBqHf95xl9ppL32PC742ytOEnevUzCtXHWKbFKexGT6tMZbcnOsk2wdOg91DdjUVdUd3p39Nu6EGnMKuaiWkZmX6t8duN5e/xFDij4D/LMvr1dtEtrH3jcWm33vrdzPT0k6l9O7wU/X2Qd3FPEVPbVNqduWIsc2p5q932ddl2ITZAYIFAu/f8Ybib8DDvFPlN/ikaaOhTTrJr7JWXFE3ozayG2S7pubd7zG23lykm3WMx42/3mR+oOeXKkv2NxYxpsdeiQe9RvN11yJax//SKKfPfPU7PsNgKtDwqel/Ua0d3rbrwwsPb/oAT2xQJLHKBQTwHPfIgYz5h68fd2BkR07iUiH8IRCzQ+j2fL+kRc8duOuofu5IsYkBnnuO/L7D0/IVLjkjwwsu90S8sYihDt9Swf+bToPe4y+cLe/9MzUizGxSUK55zZo/TMiwBAme69XMDqX9gYajGSL485VQSkAIhIpA4gbD3XEsy513hZUJPQU1cogQcO4HQ93yde2q5tOw/YhcwAUUqQP0j5UzcZA+cbv0FI3KsiPwkCPznz2xbHnoDs8QlGNOAh/0znwa9nx3zas3kvlktiZU5WYLgtzeudTZ+nVOd+hFNzNhTirripDtrl4hlHSVB/ReVZ2YLcpqpJyYBAkUgiQK85yaxaqmImff8VJSx5ySof890DESgd4Eh/synQe99t2EkAggggAACCCCAAAIIIIAAApEJ0KBHRslECCCAAAIIIIAAAggggAACCPQuQIPeux0jEUAAAQQQQAABBBBAAAEEEIhMgAY9MkomQgABBBBAAAEEEEAAAQQQQKB3ARr03u0YiQACCCCAAAIIIIAAAggggEBkAjTokVEyEQIIIIAAAggggAACCCCAAAK9C9Cg927HSAQQQAABBBBAAAEEEEAAAQQiE6BBj4ySiRBAAAEEEEAAAQQQQAABBBDoXYAGvXc7RiKAAAIIIIAAAggggAACCCAQmQANemSUTIQAAggggAACCCCAAAIIIIBA7wI06L3bMRIBBBBAAAEEEEAAAQQQQACByARo0COjZCIEEEAAAQQQQAABBBBAAAEEehegQe/djpEIIIAAAggggAACCCCAAAIIRCZAgx4ZJRMhgAACCCCAAAIIIIAAAggg0LsADXrvdoxEAAEEEEAAAQQQQAABBBBAIDIBGvTIKJkIAQQQQAABBBBAAAEEEEAAgd4FaNB7t2MkAggggAACCCCAAAIIIIAAApEJ0KBHRslECCCAAAIIIIAAAggggAACCPQuQIPeux0jEUAAAQQQQAABBBBAAAEEEIhMgAY9MkomQgABBBBAAAEEEEAAAQQQQKB3ARr03u0YiQACCCCAAAIIIIAAAggggEBkAjTokVEyEQIIIIAAAggggAACCCCAAAK9C9Cg927HSAQQQAABBBBAAAEEEEAAAQQiE6BBj4xysBNNuHuPD8zIcxurWDr31Wlv2c2DXZHZ4yIwcZ4+OvD9Pxcjs9bI7BemP7Dq93GJjTgQWFQBVTPuVp9jLOuREgQ7blyb/eLXi2ZuUWNIyGLFolo7ds39pQT6cLHML9etHvlKsWiChIRPmAgkRiA/WX28inmqZax7fclcc9VWc3digifQtgKnFHXkpDurLxDLWqdB8LMZL3utGKNtB7IBAn0I0KD3gbdYQ3Nu9dci5vgD19ObK172hMWKgXWWRmDcre01ImMLVr+24jl/sTQRsSoCSyOw8VxdV53zD/phMiP2s6c987WliSqeq57+uurjbdt8f2F0vq9/9KFLszfEM2qiQiBpAmrlXL8qIiMLvp99tOJlX5W0bIj3YIEJV0+ti3/dwr9kR+zjL7nI7MAMgUEJ0KAPSjaiecdd/81G9O3NplMxb5nx7HdEtBTTxEwg59b+RUSe0ywsW+WJl5Wc62MWMuEgMDCBnFtrHP1t+plV8WxLhCMa+/Fzbi306E7Fc/jcH9heysTDJJBzaz8Skcc0y7lu7Tnxqq2H3jRMHunLVU3O9cPOOtKK51jpy5mM4iLAB3VcKhESR86tNU7fzIT8uV7xnAW/3MY8IcLrWKDVl2wx5pOVKfsVHU/GhggkWGD8Al1pZv3dYSnUJXjkVd7ozxOcYmSh5yf1SFX/t2ETGmMfVZ4yt0e2IBMhMKQCLT+jRcoVzzlzSGlSkfYGd/YRGbF+FpbMMrVHSyXTOIOCfwhELkCDHjlptBO2+QAQjoZE6x2n2VrXXr9S8bLPi1O8xILAoATyk/ceqeqENp2i8pRKyfmvQa2fpHnbfankx4wkVZNY4yzQ6jPaiH667GVfFuf4ia21QK5Q+1Mx8p9hW2Xn7l55ySVH3IsjAoMQoEEfhGqEcza//nz/AlyHHiF17KbKubWaiNjNAjOWeVt5q12MXdAEhMAABO674dlOvx42tY7aq2YuNPcMYOnETbm+qM6qnfddF9v03+41dnZ70TTeW/iHAAJ9CLS67EaMnFWZci7vY3qGLrFAuzO3ylO2ZbhZ3BJXKb3L06DHvLa5zbpG6v6dTcPM2GsrW8zOmKdAeD0K5F19kor/nWbDn/cMe+S000xow9LjkgxDILYC44XatcbIsw8OUG+reNljYhv4EgSWK9R+KEb+8KClVX5UKTmPXYKQWBKB1AnkNs29UILg880S4+zGdJQ751ZvFTFHL8xGVa6bKTlN7xGUjszJYqkFaNCXugIdrP+awuxJI8b66bxr0etzGjzqg6XRGzsYziYJFphw/VProtfuvzmWiuxbrvZRpZIJvR43wekSOgItBXJu7UMi8ur9GxmRfy97ztNhO1gg5/qfF9EXPvQXc03Fs1+EFQIIRCeQL1RfocZsf3BGlV3r1tpHFYtmNrpVmGkpBfJu7d9U5GnzYvhwxXNOX8qYWDv9AjToSaqx6v314pSaJFUtklhV1Zj7qs+dqiMBZZJEC9z/euC10EkRsepEiW0Q6E+Az+j+/JIwmvfSJFQpPTHSoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxSN0BBBAAAEEEEAAAQQQQACB9AjQoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxSN0BBBAAAEEEEAAAQQQQACB9AjQoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxSN0BBBAAAEEEEAAAQQQQACB9AjQoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxSN0BBBAAAEEEEAAAQQQQACB9AjQoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxSN0BBBAAAEEEEAAAQQQQACB9AjQoKenlmSCAAIIIIAAAggggAACCCCQYAEa9AQXj9ARQAABBBBAAAEEEEAAAQTSI0CDnp5akgkCCCCAAAIIIIAAAggggECCBWjQE1w8QkcAAQQQQAABBBBAAAEEEEiPAA16empJJggggAACCCCAAAIIIIAAAgkWoEFPcPEIHQEEEEAAAQQQQAABBBBAID0CNOjpqSWZIIAAAggggAACCCCAAAIIJFiABj3BxVuK0ItFtR7zGDGnnWbqS7E+a6ZXgH0rPbW9+mrN/PjHosWiCdKT1XBmsv5qzfwhtRzO4pN1VwKNzzARsYpFqYsY7WowGyOAQFMBVTVve5tk3vpWqRszPK8rGnReEB0JFAq6aq+Z+6WIrt0/wKiuL5eyn+hoAjZCIESAfSs9u0a+UH2FGrP9oYzMnct05OGlktmdniyHI5P85OxzVa2vzKvlnlpt9uEfvmzlHcMhQJYIdCYwMaH23Kh/gxF59LzXy+srnn1hZzOwFQIINBMYd2uXG5GJeX/7asWznzcMP4DRoPOaaCvQ+FV4x06/6RFzlfqzZ7yxr7WdhA0QaCLAvpWe3WLc3Xeqkcx1zTJat8bOcDQ9ObXOT1Yfr2q+H1JLu1g0c8nJhkgRGKxAzq3dKyLLF65iVCbLJccb7OrMjkA6BfKTtQ+qyulNsruh4jl/lM6s5/3El/YEya9/gdym2RdKYH2+6UxGapUpJ9v/KswwjALsW+mpem6yVhUVp2lGVvCiytbRa9KTbbozybm134nIYc2yVEvOmNnqXJVuAbJDoDOBiU16dD3wbw3buuI5HAjrjJKtEHhQoNXBm8ZGmVl7+fS02ZtmMt440lzdiHLLT1bfrWr+ng+giECZ5kEB9q307Aw5txZ6zaUx+p7yVPYN6ck23Zm0qqWIzFQ8J5duAbJDoDOB3Cb/6RLot8K25uyhzhzZCoH5AuMX6Eoz64deGle36idetXXspjSr0aCnuboR5ZYr1MbFSIUGPSJQpnlQgH0rPTtDy6ZOJVcpOTPpyTbdmeTdmq8iI82z1DdWvOy70y1Adgh0JvBaVx8xJ/7PQr8fTdmWDNGNrTpTYysEWgs07utQH/VrYVs5/t41l156yF1pdqRBT3N1I8pt82Yd2133m55Kosa8aWbKfldESzHNkAmwb6Wn4OOT/huN6j80y2hVxl62ZYvZl55s053JeKG2wRi5slmW+/y9az6a8i9G6a4u2UUp0LjDdH7SD3lahX624mVfEuV6zIXAsAjk3NqvRORhC/M1InNlz7HT7kCDnvYKR5Rf8xtA6TUVL/uiiJZgmiEVYN9KT+FzbvXzIuaF8zPiRpLJrO94ofpBY8wBN+gxqi8vl7KfSmZGRI3AYARyG2dPlhHr5we+78n/zHj2Y4bhbtODUWXWYRe4/yj63O9EdPV+C1XRIGOvuWqruTvtPjToaa9whPk1btpwy+9nT8gYa0yrzk1pv0FDhHRM1UaAfSs9u8jEhC4z2drD6hrsO+6w0V9z9/bk1nZDUUdH7q6daNW1dtdvszdt326aPs0juRkSOQIRCTSOpLtyrJraIcvUuZlHS0bkyjRDL3D62bvXjjrZY4LAuaM8ZW4fFhAa9GGpNHkigAACCCCAAAIIIIAAAgjEWoAGPdblITgEEEAAAQQQQAABBBBAAIFhEaBBH5ZKkycCCCCAAAIIIIAAAggggECsBWjQ+ymPqhnfLCdKsO8YS8duKpfMLf1Mx9jhE2jcAfasSTl5zpo7IiMjv5zeam4bPoWEZczrPmEFS0i47FcJKRRhDqUAr8+hLDtJL71AvqDHBWbfw8Qau3Vmi/xqWB5bSIPe4743sWnP0fXAvnXB8LlVGXsVjxPqEXXIhjW786uI7MnM2odOTxt/yDgSkS6v+0SUKXFBsl8lrmQEPEQCvD6HqNikGhuBBx7Du1tERuYHlbH8Y6a3Lk/9wSwa9B53xZxb0+ZDze8qnn1Ej9MybFgEVE0u5NmpKo3Hszh/MCwUScqT132SqpWcWNmvklMrIh0+AV6fw1dzMl56gZzr3yGihzeLpOI5qe9fU5/gIHax3GZdI3X/zrC5dz/DHtl+2vA+jqZYVOdWkZFjRGbbP2JJTc6tvUfEnKcqljHykXVr7PFi0cwNonZxmbNxyo4af0dYPOvW2Jn2dnHJ5qE4uql949FqO3b620TktQ/McPm6NfY5cc2b1/3S728bzqk+eiRjrlGVh4vI74zWX14ujX1z6SPrPYI07le5gv9/xehbGkc+VPQzy9X536WSqfaudP/Iq6/WzOf+S0bHdn+3Nj39ZM4y6heU8W0F+nl9Nj4Pb7mzmlNjvV9ElonIt/b5e//mo5ceclfbhdkgNgL5wr5nqsl8UkQON0Z+OVfXF161Lfs/sQkwhYGsL6qzaqcf/pmRsddWtpidKUz9wZRo0Huobu48PUF8/6awocv016Ol0iP6/jLSQ2hLOmTDRj0qM+L/RkSseYFcWvGcjWGBjbu1XUZk1cK/r1tj22lu0nNu9bEi5gctGvRE5d9t7R9ozmdFxF5g4K9bY4/GsUnndb+kby+y4ey5v8pkgmsWRqGBvmFmW/Y9Sxtd76unbb/KTdZuFpV1C0V2Z+xl27eYfb1JqckV/P8SI09+aLy5LTM7cgKXA/UmyqjOBHp5fYZ8Hj64oAb+sTPbli+8RLKzgNhqUQXGz6n+vbHMuxcuWq9bL7zq4pEvLGowQ7TY+AW/W2lmVzdOb2/+z7YfVvmA+XWaSWjQe6juhqKOZnb6oV80ylO2ZYwJOQW+hwUTMOSBhqveLFQ15oKZKft9C/+WL9Rep0YuCUnvwxXPOT0BqfcUYqGgq/Yaf1fY4IpnWyLJ2Id6q73/D2r0jc3yN2reVS7Zb+oJdoCDeN0PELft1I0zbfwgbLMkn7WUpv1qwt37jLqMhJ3R8LWK5zy7bambbJBza405n9HkT3dWPOewXuZkDAKdCHT7+mz1eThvPfbbTvCXeJv1V2tm1bf80LM5k/Q9bYkpu16+3euovsYeu6poGgd5UvuPBr3H0ubc2jdE5M8XDjdGtpannM09TpvYYflN+56tQeba8Ibz4OtFcm71JhFzQrMxqqIzJWf+kfjE2oQFPu7WfmJEHn3w383rK559YVIS7q32tXtEZEVIjvdWPGdlHPPndb80VXlV4c5Vo2Zl6A9a1kjwqCsuGv3Z0kTX/6pp2a9ybu1iEQk9Y6qX6waLRR3ZsdMPPZ1dR+1VMxeaxvsJ/xAYiEA3r892n4f7A+zltTCQ5Jg0VODMc2cfGcxZPw3bYJnao1FcukMJmgvkJ2tbVGVTk7/+a8VznpV2Nxr0Piqcc2tXichr9k+hosUZL/u2PqZM7NDcZG2zqFzUXYNea7zxPTJkTL3iOQfcuTGxOKGB33f9/adFzIv3b2JUJsslx0tSrr3UPu/6O1X00GZ5GjF3lT17TVwNeN0vfmXOKNxzuGWyd4StnLHkSdNbne8tfmTRrZiG/arFF6r7oHppSsYv0JVm1g891dG26idetnUs9JKz6CrETMMs0Onrs93nIQ16cvaiiU21J9YD+W5YxDVn54oPv/+oPcnJKHmRjrvVtxoxxXmRf7DiORuSl0n3EdOgd2+2YISaYlFMHK+Z7Tu1LiZo96txsy9m45PVlxs1n2i+jF5Y8bKv7yKE5G6qaopvS+4+1FPt3VrBiDT9IUJF3BnPKcW7oLzuF7M+7Y6iLlN7dalkwq9XW8xg+1or2fvVxGZ9XL3u39CMQFU/NlPKvrJbnna15wh6t6Js37tA+9dnu8/DB9b+WcVzHtV7HIxcDIF2lyIm9Wa+i2EX9RqNU96LRdGkXPoZRf406FEoMof0ch1ygy3v1m5QkcfNJ1SR3TOefcgwvRCTvAv1Wvuc27iLvR53YO7mlopnH3SDqST7EHs0AvlJ/7uq+sQms91T8ZyDbjQZzarM0q1Azq1dJyKnLhjn777NHtu+vbenm3ANerdVYPulEmh37WwjruycvfKSS8y9SxUj63YukHNrjR9+D7rkzhjzvfKU/aTOZ2JLBLoToEHvzoutWwh0eyfv/VM9cCT9XSKaNWreWy45lwKdLIHea1873ai+tZGtGvO2mSnnQ8nKnGgXT+C+G8U1Tjd8wv41VeWOkap9HHfyXrwqdLJSzvWfL6IfECMrRY1X8UY+0N8PrtzFvRN3tomHQNPPQ5W9Ysy2dWtG3pTmJ9TEowLRRTExofZc1r/FGDli3qzXV7xGc56MG/lGp8FMiylAg76Y2kOy1saNumJuTEbveorcNczPgx+Sch+QJrUfxqovbs6NZwv/+k5Zfe/ILfdu37Kux8d2LW7MrBaNALWPxpFZFkeAz8PFcV6MVdZv3jG2Yu64FSeslV3FoqktxpqsMdwCNOjDXX+yRwABBBBAAAEEEEAAAQQQiIkADXpMCkEYCCCAAAIIIIAAAggggAACwy1Agz7c9R9I9oWCZuv139kXX3z4HmO4RmcgyDGdlNrHtDApCmv9es2sPPH3y45fdtg+ruWMV2EnJm5d1ohoevqYvfGKjGgQQCDJAkv9vt94msTNe38/ds+vDtvb680uk+xP7IsvQIO++OapXXHjubquOuf/WkQe3K9U5bqZkvOc1CZNYvcJUHt2hMUQyLn+b0X0yHlrzWZmb1g1Pf1kfzHWZ43mAmcUaq+1jFw2/6+ByllXlpzLMUMAAQT6EVjK9/2Jie/Y9dHHN+7kPvpQDub2imcf1U9OjEWgnQANejsh/t6ZgKqVm/TrIRt/uOI5p3c2EVslToDaJ65kSQy4yZe0+9IwInNlz7GTmFMaYs4Vak8QI99rmovKEysl5/o05EkOCCCw+AJL/b6fd2u+iowcnDlN+uLvDcO1Ig36cNV7YNme4c5OWGKFHi2peA772sD0l3Ziar+0/sOweuNRN/VRP/TOucuW20eU3m1+NwwWccsx59Z2iUjYc+h3VzxnddxiJh4EEIi/wFK/7xfeoIfv3ePfESa1+zZ7hNPd478fJTVCmqaYV278nD3HGMv+JxH5UyPy07rq/7qylP1xP2FvmKz9iSXW8U41883LLjOhbz7drJGbrF0pKhvCxgyiQS8W1brzTrHXrhW/WDRBN/EmYdszCtXHZIz5uIo8SkT+SwP/b2e2Lb+1n9jPcPc+LaOZo/bOOV/76KXmrn7m2j+W2kehyBytBCY27Tm6Htih+75ReWq55PxHHBVV1bztbdI4wh8M8pr508/WtXZm7mMi+ixRvUnVvGpmm/Od/SYb3NlHZIz547rq/7vKG/15VFY5t6at5hrEe39UsTMPAt0KjG+ae4EJdFpEDxORz6wdtSeWLZPqW98qfpT33Hnl6/TQZSO1U+um/tsrvWX/3m2cadh+qd/384Xan6mRb4dZ6uiuVTMXHn5PGqzJIX4CNOjxq8mDEZ3h+k+zRP/toBBVcpWSM9Nt6BsKcy/LmOCTC8dF8QUqP+mfp6rvX6wGfdytfs6IedH+9YzID3bd9pknbN9+Wthp9t1yLen2uUJtXIxUFgYRiHn6lZ7d9Yf1eGH2PGOshfXRiudY/SmBsAIAACAASURBVCZK7fsVZHw7gQ0bdDSzyg995rnRuXXl0rJb2s2z2H8fd2tnG5Ft89b1jbHXlafM7VHG0vgxzzLmRwvnNGLeYM3efGl9dN3dC/+Wmd1xyPT0SY2j3339y7m1Rl3mXZ95wHSzFc8Z62sBBiMQE4GcW/uYiPyvsHBU5JwZz7m433Bzbq1xwOGA7+eqwfkzpdEP9Dt3ksYv9ft+vrD3ODUjO8LM1q2x7UH+6JqkWhFr9AI06BGanrm5+of1upk2Yh4uxnxiWZA5v1Qy1QeOoJhuj/K2OjKxbo2d6W4+zeRcf65ZukYkKHtOph+K9UV1Vu30qyHz/3vZc57ez/zzxy5szh/6m/664mUfFtU63cyTm/T/XFQ9Y8xhgQZXHL/GeUejPo3aN+bp5pf1xpkBO3aGXs8v3f6gctFFOvajm/ymd1VWkdqM52S7yXXhtsNe+37sGNu5QLTvh52v2/mWanLu3Hli1BWVe4yY7Sr61mbjG1/s3vpWqXfzvtAqjvFCLTDmwC/0ncTd7XtJszlzhbm/FhP8c9P11PqbSmnkc53EwjYIxFkgf76eqDX/l+1iVBO8eGZqtPnrod1gERl3a1Uj4oS8b2SLRRN6qU8H0yduk1Y/AEbx/tUKJOrvYonDj0HAE6/X1cGsf2kQyHOM0e/ZGSd/2RbzmxiENvAQaNAjIs671TepmHcePJ25TUSPfuD/NWOsv52eGtketux9d4xc/tgTVLOBCfwbw7bTUfvYmQtNx6c7j7u1s4zIpWHzBUHw/Cu3jX65H44JV0+ti3/dgXPobRUve0w/884f23jUxqqjm//Q0NjuUMde8f73mz1RrdfJPLnJ2sdF5W+bbNu4s/T+m1ftzNj2o6Y/YH4fXntdNjdWXZexzEhQNz8M284YffWuW+/45Pbt60KPKM4fm3f9z6joi1vM90flqewNneQaGvuQ1r4fs6jGbtikh9jiv0QCGZWR4LorLhr9WVRzx2WejefuXVedG7k5dB8WfUnZy352qeJtvC+tPsafVW12M6HwqFT0NzLq/MHMhebB0yQnJu5/H5ibq/3+QxevurNdTu3eE1uNr0vwyChOdx93azNG5Iz5a6nIlTOeM94ufv6OQNwFcmfvO0EymZs6jLNe8ZwmNxXrbHSrHyKNMReUp+z3dTZTOrZqfCcORh+/d+GN2kbr9mEXX2zavj/2o5B3qy9WMZ8JmyMzdu8h0+9d0/dZSP3EmOaxOVcfK+L/4KAcA31pZVs2tC5pMaFBj6CSGzfesaI6ckg316EElSZHrHNu7Zsi8oxOQuq2Qc+71TermLe3mtuobC6XnK2drN/iK6fZ4FZPzqh1qI7ZP5n/xbO/ee8fPX6BrjSzfuORF03/2Vb9xMu2jnX6Qdp3SLnz9p0gfscf3LJM7dHGWRULF865/u9FdG2XAV1a8ZyN7cbkJ2tfU5VTWtbeBH9Znhr9aru5Wv9dh6r2/VlFMzrn1hrXXT/lwNlMreLZfZ0VEU100c2Sc2efL2J9MWzGpTz9c2JCV9dH/YNOIe8m+/03G2ryPqCjdfvwVl9E+2nQxehplals6A/G3eRw33OCd/t/2Bhz/Cr7R5z62Y0e28ZZID9Z87v58a3XI7tXX62ZL38r/ACEEVMse/bb4mw1qNgaN2zbd69/ksjcLYt1OdO4659rRMMvK8gEj6hsGf3FoHIe9nnjf9bcYCtEgx6B78Sm2RfWA+vz3U114JHlvFu7VEXO6nSObk9xb3cEff+65Snbiuq0y05z6Wa7xpfAHTv90GceZ8bsQ6bfaxbtF8286/+9ir674xyMta0yNVKYv33Ore4QMcd1PMe8Df3ls4d96N2tj7K1O4K+f7pev1T0EncvY+JW+15yiHJMm/ed71c854+jXG8p59pw1r6HZZzMr0JjCPS0yrZoGs1u82x2vWi3cxhLX6mBXBj2PtDutdnrKe5RHUHvNl+2RyApAr38ANbu9doqd46gx2fPyLtzf6USXBMWUXaNvfKSork3PhGnJ5LNm3Vsd735pZmNLDOWf8z01uW3pSfjgzOhQY+guuNu9aVGzKe6nWr+m3i7O+EeMHdPN4kLvwZ9/tyZ2d8vn54+pun1yt3mN6jt827tBhV5XJP591Y8Z/mg1m02b27Sf4uodvGLtvltxbP3X/IgjWvU85N+73egN3JFZcqZaJVzq2vQ54/b/Qx7ZPtpJtY32YtT7RdzP2u677m1xqUcy8Li6OdL4lLntnD9jRv15OqIH37ncUtfWtm6+Ke8tfvRqFNHS2QmEAk9HVxN8OiZqdGfhs3X6iZxrX5ATNM+0qk12yHQjUC7R30dNJcxb69M2U3vPdHJulyD3onS4myTc/3niOi/hK22TO3VpZIJPaNzcaJM5yoTm/ToeuCHXsarUn/2jDf2tXRmf39WNOh9VPeMwj2HZ0z22yry8F4su2jQd4rIin4fsxZ2F/f5BPXdvxm76qoTZ/tgGfjQ9euvzqw6+sU3ipgT5i22NzNrHz49bRbtx4Xc5tmTZS7zDTHa1TX2qvq+mVL2gkbshYJm9xq/lfevRWR+ngf6GvPPlSk79Pry/RuH3MX9gLm6PStj4IVuskBcat9N7g9cx/ZhEVkuxvxwWTDyzCg+1HNurfFjSuhd+NPUfOU2zp4sI1Zog24W8xr0xo9qm+b+QlU/LiJrutkXwrY1qu9SY94Y+nexXlj2Rr7Qaq2wx6xNTNy4epB3cY8if+ZAIK4C3TbopoPXartcuYt7O6HF+ftrN8/99Vw95AaYjRAy9trKFtP4fs6/iAVet2n24bXACr0PVxSvs4hDjnw6GvQeSUMfgdbNfCr/USk5T20MaX0E3by74tmhX966WbLdWkn6Un/++br83rnZw4Ps6F2LeVr7A4aNO+L3fOf7/U16uyPojSNnRq3/Ca2xkXMrU86WTvaB1qfqmT0Vz17RyTxx2GYpa99N/vlC7atq5C8WjrFG7EddcZHp62Zuebf2ExV5dFg8SXottzNt90NWxrKPmd7auCHnYP/lXP8eEe36dWJE/lFEf9L8RqIitmMf6df80EevtTuC3knWg3oOeidrsw0CSRbo5gzHKF6rDSueg770e0y7o7g8Zm1wNWr3w5gxtaPKUysifVzp4LLpbWYa9N7c2jTUD0yq5u/F6HtaLVHxbEvEaKtr0HffZi/bvt10dMfuTtIZL9T+yBj5fwu3VZU/nik53+9kjmHept2Ry05t9jdQra5Bb2yTc2tXichrms3bbROWL1RfpsZ8cuFctVr1yA9ftvKOTmNnu/YCZ511zxG+k23+AaKilVJ/z6D/u42zJ2fDjyp/pOI5r24fZTK2aHfzpMW4o2/OrfX2o5zKrrJnH9q4t8d4ofolY8zz5qsbkdeWPWe63ftAMipFlAikS+CUU3TkpMeH3/dmYbbdfianSytd2Zx9tq6dzTRu4Nv8XxLOOkxyRVr9MLb/xqpJzq9d7DTo7YSa/L3d0Zx5Q043KmvVSOgRzlUZe9mWLfc3383u4m4sc2p5q/31HsJsOaRxA4ZddT8vok8QMdevztjl/XFEvVaa5tv4f/SoatWP5EjdgZc4HHQX9wPu3pxz/atFdP08y2Dt6K5DLrzw8G6eHnDf8Fe+7u5Dx+yxs0TMyWrJN48/xP4Id1yOfi9tdwPBfj/cc4Xqx8WYZo/3ayTT9EkR0We5ODOeeV7tTwJf/itsNaMyWS453qCi6eF1X1eRihFzdcWzr50fV6Ggh89atT8PVPfszmS/sf2B9//7PwNavw8MKj/mRQCB5gK5Qu21YuSyDnzaPnGhgznYJEYCucnZjaLWxWEhaeAfO7NtecePO45RarEP5ZwL9hyzb9YOfd65avC8mdLoV2KfSB8B0qD3gDexac/R9cBu/6JUfbNl6X8Han0pbJnMrO1MT5sH70r+4HPQ/fpeXvg9FGfAQ3KT1fWi5uoolln4S3snzz9u7B/HHPOkerFoer+xXBTBM0dbgXHXf6sRLYZt2G+Dnp+sXd846yVs/jQdyTlzsnZmoDIdiq7mrZWS3fIxkm0L1mKDbl/3/Zz62Mn7QD+5MBYBBDoXyBX8t4hpfSNYvz572Icubv00lc5XZMu4CORd/00q+s7Q7+8Zffz0luzBz+mOSwIJjiM36f+5qH4j/DNfCpWSsy3BKbYNnQa9LdHBG2ws6orqzsa1iK3/ZUzmrL94ulVu9VzLNH2JbueRhr+fUfCfZRmN4oyGasVzRtNgQg7NBfLn64la8385qAY65/oXiOh7m82vor+Z8bI9PbovjvXMFWp/Kkb+Myw2S8S9wnNKg4q929f9/kuXBhUP8yKAwOII5CdrrqpMtWgU+r5caXEyYZVuBcYL+15lTOYjoeO4SVy3pB1vf/pZe4+1nZFbwgZoxjxvZovNEfSORYdow05uGrL/CFnOrb5BxLxrIc+eUf/Yj1/I6THJ2m3Uyrl+N48i+7GIPGZhjuvW2Nli0dSSlTvRdiuQc6u/EjEPWzjOMub5V0zZX+52vvnbt7zp31zwiMolo7/oZ/64jW31nlvx7IzIIM8q6eZ1b15f8ewL4+ZHPAgg0ItA69f+2tFdq3q51KyXSBiz+AKtP3ccDnIOsCRL+5k/wMQ6nJqdq0OohZvlC3v/TM3It0N/3RFz3oxnX7T/768q3LlqVFa+R4weZ1T+o1xy3isS72dO90iT+mFnuvVzA6l/oF2i+6+LHb9AjzFV/x8k0DVqzBdnPKeT69naTc/fEyKQc2uN94FNDzyKca+IPqXiZX8YRfjjF+hKma39xIg59oH5gowlfzK91fleFPPHaY7cOdX1Yh18eYlR/US5lJ1/f4aBhN3J637Q18IPJDEmRQCBlgL5QnW7GvOKgzYK9LTKtux2+NIrMD5ZO9M0ubyqvjt45FVXjYY++jO9IouXWVifZUnmvCu8zIP91eJFtLgr0aD34321ZnLf9EvGyCNUzd7ACr47EmRuvqI00rjrNv9SLHBKUVectNO/xIg5WkV2BVZwfaYuPy17zieLbxPDNeIpLn4MU2s8ru9tw7DfXa2Z/Lf8j6rI4aLmnhvXjrzq60Vz72KV5P7Xfe0SNeZYS809YumXg6r95eOPlJu50eJiVYF1EFh8gfte+3fO/aMYXWlEfld+hv1KOY2DLItfiaVZccKdy9e1flSQkRuv3Jr92NJEMYSr3tdnVUtiZU6WIPjtjWudjYv5mb+U4jToS6nP2ggggAACCCCAAAIIIIAAAgg8IECDzq6AAAIIIIAAAggggAACCCCAQAwEaNBjUARCQAABBBBAAAEEEEAAAQQQQIAGnX0AAQQQQAABBBBAAAEEEEAAgRgI0KDHoAiEgAACCCCAAAIIIIAAAggggAANOvsAAggggAACCCCAAAIIIIAAAjEQoEGPQREIAQEEEEAAAQQQQAABBBBAAAEadPYBBBBAAAEEEEAAAQQQQAABBGIgQIMegyIQAgIIIIAAAggggAACCCCAAAI06OwDCCCAAAIIIIAAAggggAACCMRAgAY9BkUgBAQQQAABBBBAAAEEEEAAAQRo0NkHEEAAAQQQQAABBBBAAAEEEIiBAA16DIpACAgggAACCCCAAAIIIIAAAgjQoLMPIIAAAggggAACCCCAAAIIIBADARr0GBSBEBBAAAEEEEAAAQQQQAABBBCgQWcfQAABBBBAAAEEEEAAAQQQQCAGAjToMSgCISCAAAIIIIAAAggggAACCCBAg84+gAACCCCAAAIIIIAAAggggEAMBGjQY1AEQkAAAQQQQAABBBBAAAEEEECABp19AAEEEEAAAQQQQAABBBBAAIEYCNCgx6AIhIAAAggggAACCCCAAAIIIIAADTr7AAIIIIAAAggggAACCCCAAAIxEKBBj0ERCAEBBBBAAAEEEEAAAQQQQAABGnT2gUgFNm7UFdWR+ossCQ6pB/KdmW3OdyJdgMliK0DtY1ua9ASmasbd6nOMZT1SgmDHjWuzX/x60cylJ8HkZjLh7j0+MCPPbWRg6dxXp71lNyc3m/4jz09WH69inmoZ615fMtdctdXc3f+szIAAAostcEpRR066s/oCsax1GgQ/m/Gy14oxuthxsN5wCdCgD1e9B5ptzvXfJ6Lnz19EVfT4tbZT5Ev0QO2XenJqv9QVSP/6G8/VddU5/6CmLyP2s6c987X0C8Q3w5xb/bWIOf7ACPXmipc9Ib5RDyoytXKuXxWRkQUeH6142VcNalXmRQCB6AUmXD21Lv51C2fOjtjHX3KR2RH9isyIwP0CNOjsCZEI5DbrGqn7dzafzNxe8eyjIlmISWInQO1jV5JUBpRza0HYZ1bFsy0RjmgsReHHXf/NRvTtzdZWMW+Z8ex3LEVcS7Vmzq39SEQe02z9urXnxKu2HnrTUsXGuggg0I2AmpzrNz53mr69VTzH6mY2tkWgGwEa9G602DZUIOf67xTRN4VtUPEc9rWU7j/UPqWFjVFa4xfoSjPr7w4LqS7BI6/yRn8eo5CHJpScW2tcYpAJSbhe8ZwFR5LTTZNza61OfS1XPOfMdAuQHQLpENjgzj4iI9bPwrJZpvZoqWQaZ8vwD4HIBWiaIicdzgnzk7WyquRo0Iev/tR++Gq+2BnnJ+89UtX5bei6Kk+plJz/Wuy4WE+kTUMqw/bjbCsPI/rpspd9GfsNAgjEXyBXqP2pGPnPsEizc3evvOSSI+6NfyZEmEQBGvQkVi2GMY+fM/s3xrI+S4Mew+IMOCRqP2BgppdiUa0dO/16GIWO2qtmLjT3QLX4As2vP98fx/Bdh97qUgwxclZlyrl88avEiggg0K1AuzO3ylO2ZbhZXLesbN+hAA16h1Bs1l5gvFALjGlyXwOVsyolvpS0F0zuFtQ+ubVLSuTjhdq1xsizD45Xb6t42WOSkkfa4mx5D4qMvbayxexMW86t8sltmnuhBMHnm20zbGcTDFPdyTWdAjm3equIOXphdqpy3UzJeU46syarOAjQoMehCimJoVjUkR07524R0SMfTInmPCXVbZ0GtR+KMi95kjm39iERefX+QIzIv5c95+lLHtiQB/CawuxJI8b66bxr0etzGjzqg6XRG4eRJl+ovkKN2T7vc3DXurX2UcWimR1GD3JGIMkCebf2byrytHk5fLjiOacnOSdij78ADXr8a5TICFXVcOpPIkvXd9DUvm9CJmgjwD4W011E9f7vFJz2eR/D/fvpfSA8MzmmuyxhIdCpAJ87nUqxXRQCNOhRKDIHAggggAACCCCAAAIIIIAAAn0K0KD3CchwBBBAAAEEEEAAAQQQQAABBKIQoEGPQpE5EEAAAQQQQAABBBBAAAEEEOhTgAa9T0CGI4AAAggggAACCCCAAAIIIBCFAA16FIrMgQACCCCAAAIIIIAAAggggECfAjTofQIyHAEEEEAAAQQQQAABBBBAAIEoBGjQo1BkDgQQQAABBBBAAAEEEEAAAQT6FKBB7xOQ4QgggAACCCCAAAIIIIAAAghEIUCDHoUicyCAAAIIIIAAAggggAACCCDQpwANep+ADEcAAQQQQAABBBBAAAEEEEAgCgEa9CgUmQMBBBBAAAEEEEAAAQQQQACBPgVo0PsEZDgCCCCAAAIIIIAAAggggAACUQjQoEehyBwIIIAAAggggAACCCCAAAII9ClAg94nIMMRQAABBBBAAAEEEEAAAQQQiEKABj0KReZAAAEEEEAAAQQQQAABBBBAoE8BGvQ+ARmOAAIIIIAAAggggAACCCCAQBQCNOhRKDIHAggggAACCCCAAAIIIIAAAn0K0KD3CchwBBBAAAEEEEAAAQQQQAABBKIQoEGPQpE5EEAAAQQQQAABBBBAAAEEEOhTgAa9T0CGI4AAAggggAACCCCAAAIIIBCFAA16FIrMgQACCCCAAAIIIIAAAggggECfAjTofQIyHAEEEEAAAQQQQAABBBBAAIEoBGjQo1BkDgQQQAABBBBAAAEEEEAAAQT6FKBB7xOQ4QgggAACCCCAAAIIIIAAAghEIUCDHoUicyCAAAIIIIAAAggggAACCCDQpwANep+ADEcAAQQQQAABBBBAAAEEEEAgCgEa9CgUmQMBBBBAAAEEEEAAAQQQQACBPgVo0PsEZDgCCCCAAAIIIIAAAggggAACUQjQoEehyBwIIIAAAggggAACCCCAAAII9ClAg94nIMMRQAABBBBAAAEEEEAAAQQQiEKABj0KReZAAAEEEEAAAQQQQAABBBBAoE8BGvQ+ARmOAAIIIIAAAggggAACCCCAQBQCNOhRKDIHAggggAACCCCAAAIIIIAAAn0K0KD3CchwBBBAAAEEEEAAAQQQQAABBKIQoEGPQpE5EEAAAQQQQAABBBBAAAEEEOhTgAa9T0CGI4AAAggggAACCCCAAAIIIBCFAA16FIrMgQACCCCAAAIIIIAAAggggECfAjTofQIyHAEEEEAAAQQQQAABBBBAAIEoBGjQo1BkDgQQQAABBBBAAAEEEEAAAQT6FKBB7xOQ4QgggAACCCCAAAIIIIAAAghEIUCDHoUicyCAAAIIIIAAAggggAACCCDQpwANep+ADEcAAQQQQAABBBBAAAEEEEAgCgEa9CgUmQMBBBBAAAEEEEAAAQQQQACBPgVo0PsEZDgCCCCAAAIIIIAAAggggAACUQjQoEehyBwIIIAAAggggAACCCCAAAII9ClAg94nIMMRQAABBBBAAAEEEEAAAQQQiEKABj0KReZAAAEEEEAAAQQQQAABBBBAoE8BGvQ+ARmOAAIIIIAAAggggAACCCCAQBQCNOhRKDIHAggggAACCCCAAAIIIIAAAn0K0KD3CchwBBBAAAEEEEAAAQQQQAABBKIQoEGPQpE5EEAAAQQQQAABBBBAAAEEEOhTgAa9T0CGI4AAAggggAACCCCAAAIIIBCFAA16FIrMgQACCCCAAAIIIIAAAggggECfAjTofQIyHAEEEEAAAQQQQAABBBBAAIEoBGjQo1BkDgQQQAABBBBAAAEEEEAAAQT6FKBB7xOQ4QgggAACCCCAAAIIIIAAAghEIUCDHoUicyCAAAIIIIAAAggggAACCCDQpwANep+ADEcAAQQQQAABBBBAAAEEEEAgCgEa9CgUEzTHeKF2uzFyxP6QjcpkueR4CUqBUHsUGHdru4zIqgeHB3OnVbYt297jdAxDYNEFcoW5D4kJXv3g+5fR75Wnsk9a9EAStmDunNpXxJLnPvTal69Wtjl/mbA0YhvuuKvPMOJ/c16AsxXPGYttwASGAAIdC+Qnq99VNU98cIBaH66URk7veAI2RKAHARr0HtCSOiTn1jQk9g9WPGdDUvMi7vYC4bWvv7Hijb27/QxsgcDSCoy7tRuNyMObRFGteM7o0kYX39Vzbu0uETmkSYR3Vzzn0PhGnozIxt25lxoJPtUs2orn8B0rGWUkSgSaCuTc2qyIZBf+UUV+OeM5J8GGwKAE+PAYlGzM5p2YrD2lrvIfYWHxRSJmBYswnJzrXyCi76X2EaIy1SILaCbn+nNhi+7z7TUfvdQ0GlH+zRMoFtXZsdOvhqGsW2Nni0VTA613gRY/fIuKXDLjOWf3PjsjEUBgqQRe+To9dMz2d4Z/d7IzIiZYqvhYN90CNOjpru+D2eVd/00q+k6+qA1JweelmZ/0r1XVZ9OgD1/t05Jx3q09SUW+E5qPSq5ScmbSkm9UeZx59uyLgoz1ubD5rHrw11dcPPr5qNYbxnlaNehG5BtlzzllGF3IGYGkC+QKtXExUgnLQwP/2Jlty29Nep7EH08BGvR41iXyqHKb/DdIoO8KmzgzazvT08aPfGEmXHIBGvQlLwEB9Ckwsbn6uHrd3NBimtMrnvPhPpdJ3fD8pD5X1f9KWGLG2H9ZnjJfTV3ii5hQywbdyNfLU86pixgOSyGAQEQCObfWuN/Jh8LfP2tHladW3B7RckyDwAECNOhDskOcee7sI4M566dh6XKKe3p3hDML+14VmMxHqH16azwMmbVqhHbfZi/bvt3sGwaH7nJsfWlAxbNHREy9uznZer5Aq/1STObNlalM6JlrSCKAQHwF1q/XsVVH+3v57hTfGqU5Mhr0NFd3QW45t9a41tBemLJlWbkrto5wemiK94W8W6uriHVQ7dU+5YqS+UaKUye1lAjkXf9TKvrShekY0d+UvexxKUkz8jTyk7XvqspDdyB+YAVj5HvlKYc74Pcpvn7j7MmrRqyfN5uGH777xGU4AksskHert6iYYw/+3DGfLnv2y5Y4PJZPsQANeoqL2yy1vFvdrmJe8cDfVEeDP5i5cDT0yPqQ8aQ63Vxh9mtirAeuhzT1NWtGjntf0fw21UmTXKoEzpyc+5tAg8/uT8qIeUvZs9+RqiQHkMwZ7uyEJdbl+6cOJHjtld7o9ACWGsopi0VdsWOn37hJ4ch9AEb+X2XKecJQYpA0AikTyLv+m1X07fvTsoz14iumRv45ZWmSTswEaNBjVhDCQQABBBBAAAEEEEAAAQQQGE4BGvThrDtZI4AAAggggAACCCCAAAIIxEyABj1mBSEcBBBAAAEEEEAAAQQQQACB4RSgQR/OupM1AggggAACCCCAAAIIIIBAzARo0GNWEMJBAAEEEEAAAQQQQAABBBAYTgEa9OGse6yyntisjwsCf1xVnIzMfWzaW/atWAVIMAMTeO3m2pPrdev0xgKZTPChy7c43xnYYkyceIFiUZ1b7q5v0CB4ijHmx86hI5dfUjT3Jj6xlCUwPjn7KKOZvDG6QtV8ouLZ16YsxUjTKRZ15Oa7/b8zgTxTRH+xz9932UcvPaRxV3j+IYDAEgtsLOqK2l1zr1XVxxjL+s/jDslcVSyaxmOL+YfAwARo0AdGy8SdCOTc2nUicuoB2xrZUZlyju9kPNskV2C8UL3BGPO4+Rmo6g9mStnHJzcrIh+UQP6cfSeqlfnlwvkDNadcWbK/1SWdqAAAIABJREFUMah1mbc7gbxb+ycVOe2AUSq7yp59qDFGu5st/Vu/+qx7jnCc7O0LMzWqLy+Xsp9KvwAZIhBfgTMK/rMso18/6PUZ1B9e3jb2q/hGTmRJF6BBT3oFYxb/WZv3HusH9lmiepSVsb5w7OrMZ4tFEzQLM+f6zxfRLzZNQc2bKyX7nTFLj3BaCHRT+7xbO0NFZppNZ0TGy55zJdgIzBcYL9QCY6TpZ1Z5yrZo/pZ+f7n/yLn1P00jMXJ5Zco5q9co03r2RM717xXR5c1cdv//9u49TJKqPPz4e6q7qmd2l10YQLktYIBE8RJBY0JMVERjvCQm6mK8oDA9O+BC9+wuqFHBjFGSCMju9Cy32emBSLyxJkbCL5pEY+I1YqJoCCYij8oiF4WBXWB3uqq73t9TszvLbE9XX6p7Zqq6v/MPD9vnnHrP563q7rer6tQDdnrHDlOJakY/BBCILqCqZmjEq/n9VVV0atyxoo9OTwTqC1Cgs4d0TCA74l0qqh+uGlBXqN0/Pm5K1RvK5t3/EZFTQwLwigXH6VhwDLSoAi3nfsT7pageUfuLvHm4OGYfuagBM3iiBM4d1b7UtLc3LGhj7KMmx8yCs5CJmmQXBJvNe1eK6CVhUykWnEjfObr16onRUbV2TnuhBXhK/ZMnxvvu6YJdgykgkDiBoRF9uqr3YFjgawdse3TUlBM3MQJOhECkD8tEzIwgl1Rg+L26prLXeyxko98rFpzTFxToI+69orI2pI8WC/w6uaRJjLixSLnPu0+KyIqQTe4pFpyaZ5Qihki3hAtccomufNQNzjTW/suk7eOvvdrsTPg0Ex/+0Ih7naqEniWPWqB369UTQ/nya1T8/xf6w5Olp05uzfww8TsGE0AggQIbNuvaUtm7t06BnuFe9AQmNiEhU6AnJFFxDzO7sXyO+P7Hw+Ks9cUsm/cuEdEra/VR0c9NFTJviPu8iU8kSu4Hc+6YMZKvmXuVwtS4M4ItAnMC6zZp/+qKtydMxHPLx338+hU/R2x5BbJ57ywR/VJIFLcXC85vthphN1890eAqMqkM2P03jZqZVs1ojwAC7Qu844I9x9pO+r6wkVIztjMxYbz2t8QICCwUoEBnr2haIJt3g6LpoyKSEdF/dh3nDTdfZYIzobJ+xN3gq1zTSoEuoiab94JL3+3qfivU7qt1WXzTwdJwyQSi5H7dOk2tPtoLuzTsX1zH/uO5fWvJJsKG2hY45xJd6bju34mY3xOR4Nh+b7HgjLU7cKMz6H66fPyNV6/gDHq70PP653KaedK4nzJi/khEyqLmz5tZFySbcx8TI2uqQ5nRx9d8Yvzw3a2G2M25z9a/ikyaueIgm3MHxcj4/iuSvr7X2/OHrADf6l5GewQWCpy3ec9aq5zmDPoy7hznXlR6Ztoyt6nISaryC0sqb5oc7//aMoa0ZJumQF8y6vY2NLtYxSUyu7L55FVy71IviJTNu3eIyK9Xz6JiPXnYTVsPe2zoEn2Gut6CFZb3t3+iWHAOqSUQFGqHHOXebIx5y/7Xv7I7Zb92xxYTer9pe5LJ6x0YrTiqdKItfmlyfEXor7nLNbOouR8eVrvSV/5bEf2DWrHP7VvLNS+225rAuRsfPTTlr6z1aKjvFwvO81sbrbr17I95NRfrCVpyL2Bt3bfldHXGKh1d8jMPfGLcNF0ch16x0MQTNmY/qzZ614nK+fujun1GH39llOJ8X//uzX27V5EN5d1/UZFXLDhafO/YqW0r72/vmItX7w0bdNWMXTrWN5mHbtpqwm6ni1fQRJNogeDxhzunvdAz5MWCbYnwZIrFSvLgReVXG8v/xwXvb+q/Z2q8r+bVt4sVy3KMS4G+HOotbjObK31YjLn0oG6qHymOZy5rcahIzc/P6all4wULui34MyL/O1lwnhW8kM273xWR06obsdBNJPbZTtmc9zkxGpzBeurP17OL2zI7oo/a+Z5Rc9/svtX5iBmx0wJDefeHKvLMWuOm1X72DePmrna2OZgrvc0Y8zc1xri6WHAubmfsbuu7bt2dzuqjfzW4Z3/+1Une7gd+tGrHjuc0fH5vzcdf7kdKSfl3Jworvr6UZkMby29R3//kwg8g89HimP2nSxlLZ7cV/SqyDRv2rC2lQ8/uPVIsOLUX4ezsBJZgNLWy+fLuqpXu/dSMfcjEhAm97WUJAmMTPSCQzbsfE5HN1VNV1bdPjWc+0QMEyzTF+j/M7v4dO73j7O5+wgUF+jLtevU2GzxORkT8YHXI7Ij3ElGt/YxfY15aHLO/uthTyI54HxTVD4VtZ/5lePtX8/5zkdnHId1jp+yXXr/FdPze0A2jusqdLm9S9U83ltzd7ztXjo+bXy62xWKOH5x5yufFOfxw8YJH0w3lS3+qYv6y5jZTew8vblkzvZjxtDp2lNy3sm/NxdONuW/VOo7ts3k3/BnXxvxZccwO3hci/2Xz7i4RWb3wi1J8H3cTrNJ972Mz77Ak/VpR3eWnZHzqauf79RCq3weigGXzblCEL7h1SESaejpG3VyKXFssOBdGiaudPoMbvTOML18Q0TUipmQs89bJrellfk64mlzux87hh5+sOx/1zxPxf8+oPuz32VdPXWH+r5n5Rr2KLDtSOV+0cn0zn8vNxBHXNkk87uNqSVytC9RZoHJ3seAsuJWn9S3Qo5bAOZc8uNJxB0IXhjVaXhvHK0o7mU0K9E5qtjnWUM69So0cOBMUPGdRjMwYkf6aQxvzZHHMXtXmZht2H8p7f6qitQtFkabuk2u4kRYaZPP6HBHvvxd08fWPi9syf9/CULFpms273xKR35oXUHBvf+hK5ipSnCo4Q7GZQMRAWt23ujH3Eeli161eUWfEvG+yYP9V1KCD+6H3GC90sayU5R0zsXXlA1HHX4x+60bVWT09u8bGwX9GPlMcc/6k1jZrvQ+sHbAPbeVRPsFl7X3GC37MqPk3o/aaRpe7182lka2TY86mxTBL0pjZnPtxMXJOWMxGZHyy4NRcCLMT8xzKl89T8afCxmrm/vVOxLGYYyTxuF9MD8ZeWoHhjU8eXfHt0FtFuLVq8fKxaZP2766zMGwcP/M7rUGB3mnRiONlR2Y2iVpXt9p9KT6EsxfvPUG81E9DYvtqseC8tNW422lf78vj2gE7FZx9bmf8pe5b40t5MyH8S7HgBAtxJfqv1X2r23Kf6ORVBZ/Nu8GVPi+pOSe7cmLxY/0/izrfRl+U1DK/PbXVDn7kis1fqx513gcqxYKTbnZigyMzv2bU+t+w9mr8Z06N9dU9uzuYK31y3rogBw2VStnPm9hiFv5A2myAXdBucMTdYlQ2NppKyp45cuJjqx9u1C7K68MX7z6i4vWFXTX2o2LB+bUo48apT6Pj3qTljMmrnf+IU8zE0j0C+67a0W+Gvpf27Vo9dcWRj3fPjOM1k17/vkeBHpP9scElhbWjbOMM+nkXuqdbKfN5ET1OxNznV/T1N17jBPeQ1/zLjrifFpU3V7+4e8DO7Bg1De9p7BRzt/2qNrug0kj44lehHwxtnEHP5r3fF9Hgfs7DROQuqVReU7wmevHUbm6b3be6LfftusWtf5Qzxs3O4R3v2324/WRfaKFjVM6YHI/HF/VszrtUjH4w5BLz2SlXX1HQ6H0gJfYJEwUTuppwMGb2wr0nSCoVLKhzaj3XZs6g73/KQrBQZ/Vl8l8pFpyXN5u3bm3X7Oe1EWtwspC+cbEchvJuQUVy1eNnyvYh115rQi8PXax4Oj0uZ9A7Lcp4rQgM5dzfUiOhP/ymBh5eOTF6DOsgtILaQttev2KSAr2FnaVe0+AL1vkfkv7/ul+838782CoUTnaDldaDf1+/UZ6m6n1RRA6sZGzUv2RyvC9YfGL2r9kP/INiiHgP+uCI+w6j8tfV81Ej75wac0KfZb7/fviCMeYIX/3txw84H17qs9XxvC9FrXWbJPPsNRKs9mkFjyQKXNbdoqk1X9t7tJp0sKDSCfu9VX3rtVPb0l8I/r/RF5DQfS7iPehDI95VqrpwQS2V3yyOO7d36HBoeZhm9q145r7lqS5Kh+GLSs+sOKY/9YR953I+l3X2nutp9zLLWOtV9WExJt+JdTKGLtr7DLVSYU+JEMuY398+Zv/TouCGDDq42f11U5bgR83gmA+q7sdUxDUqT2sYhzEfNZLesn2r/CL4nGj0PmDEf+1koW/BarYHPj9y7ovEyLcbbrfJe9D3jRMs0lO+WIzmReVxEXNxsWAHn2M9+zeU9/5eRV/fNEAH1l5otK3BTe4LTVmuE2OOFZGb1w6kP9DKLRGNxl/u17kHfbkz0LvbXz/ivcpXDX3Pc7w9A9ddd2itJ5f0LlqHZz78Xl3jz5SnVPXlonKHnbbfvhjrWnU47I4MR4HeBmM27wb3RGbChjCin1Uxbwp7XY1fnBrrm72PuNUC3YhePlnIHLyyexNzaXSmZnLMtpb6EW5NhD2vSTxWdszm3eDsROg94o3mZKm+fft45hNDefdaFXlXo/a1Xvf9ylk3buv/12b75nJ3Z/aYE0Lv412K2yWajbV2u3jkfijnXa5G3z8XoxoZnhpztofEbGXz7j0i5sS5142YSycL9uXtWezrPZQvfUDFfOSgsVR+XBx3TunE+HEZ45xzHlzpHBa+YExa7F+9oWDuXux4s3k3eFRZzUdGRt22r+ZlJxye/trOaa8S+lli9NcnxzI/CHu9yc+PpldxjzqXbu7XpHE1QblYcGot1hdCpWYo792sIm/b30BF/NcUC309/MMIq7h383EV57mdn9dTyuL9KCzG3Q/8KNPMUzHiPMd4x6apbN4rV8foePbAddeZrv9hhAI94t6ZzbvBl6l9Z07a+JsrirJ5959F5JXNDhV1BcPsJh2QivdI2HZWp+wVW2L+DPLlfjZip3IvwaVTKmc0m/Na7V70bNs5/3wT+pzO+X1mz7Ja5oehHzYJeGzFsuc+V/qcGHPwY+/2XbL8wcmC/eFq2/DVtM3lxYLd8g9s88c/N7/rlJT01/zyoKKfnSpk1rWzb8Wp7zkXPP40x8k8FFrALsG9qNm8G3xRSC2GizF6m6p5XdjY9Z63G1yps/rrC7/EzI2VTplXP1FOf7PRwnCLMa9uGTNicT47/VZ+9M7m3LvFyMnVbmqs10+NpW/tFs8o8+A56FHU6NOOwNBm97e0HH6Ju+vYq26+ygQL+vK3CAL13nfjf0KpfRAK9AiGw8P3r6j0HdGRg7IyYPffNGpmz2oOjrgPNXV5ZPAtMeKqxedu1ENTvhf6y9P8eCLQLFmXcy8qPTNtmdtU5CRV+YUllTdNjvd/bbED2PBuPapU8mKzWrRl6RXbt2be28y8s5v0ZKl4oWcZdz9gp3fsiP9zJZcr940uQ67+Ip7d5L5IKuGXHbf7AdPoKo52x29mn1qqNus3e7/tl/Ubodszsrk45mxZrHiW87jPZOS0a6907gib2/77xRecZTjQPmWfUtxifrxYNt0+7uC7Zn7F2NY9UefZbIE+nN9zfEXSoQspdtPxHNWSfggspcBgfiZnxCqEbdNO2cf1yuXWS+kebCv3vseP3PNk5heh202ZVxe3dPctVxToEfa64Y3u6RVf/itC1wVd1g7YmdF5i6xdeKEe7lnlF5RT3uPGT4euHhl9tfL6lwnXO1PTifkmfYzsSGmdqLklPvMw/1As2H/YTDyjo5reOe2FnW1v6vnIzWynW9vsX4Qr7GkGUn0sZ/PeX4jo+8I82v1BpNFZvW76Qr9+xN3gq1wTZqm+jk5ty3xosfa9do97Vf1U2KrojWKu3q9qta/z3PNgv7S76Z7kRl6dfn193s35IqFf0htsb7pYcA5vJqahkdKbVc2nw9pG/8xvZuu0QQCBaoH1I96lvuqCK+Pm2qVVnn/DuPN95DovMLhh79tMOvU3YSN38lbBzkffmREp0CM4XrBRT/R87ycRui7oUu9L9GKtYDiU835XjX61Ohij5iWT4/ain4XuhNtyjXFeznupZfTfOrD94FFwobdIWKJv8MX8XaPttHIGPRgrm3eDNQ8W3i9dqZy4nCu5N5pnHF4fvliPqHhe2GONFhRCQ3n3QhXZFhZ7s2fWwvo3WgOjmwr0bN47S0S/FPphreY9k+P2lYu1n7R53Pu7H7Cd1UeXHxHRNa3G2EyBXefHo/XFgjPZ6jZp/5TA0MbSm9Q3O6KYpGz7yImPmaYesza00XuZ+vqVxXq/iBI/fRDoZYGh3My71FjXhhmkLPuYia0mNldUdlOuZhe/rMh3Qudk5MLimBOam26woECPlMX6Z6GbHVKl/LtThRXBCt+hf/tWMPSu8305yxj9rp1yhjpxSc15ucePtMSZCJ4fHDzn0Rd3+MbxQ0KLj2bn1P3tggVrwhdzanb+hzn20x91vZB7avW+YiGz9oJNeqxXcSeNsV6hqjWfg9zKPehzsQ3nZk6qGGu7iDlVRP+f60znb77qqI7cstHs/JPZru5x/0Sx4By0eNi6ddq/+mgv7BEse4oFJ/Iig4Hfefk9v21JOuyy7/8oFpy21jeIW47q349m2yIm/DLvticT/bjXPnv11BXm8UbP1A0JccF+FTaV/U85KIiY14roXSn110+M90W+NLttsq4ZoPXcGzH/3q/pV42Pm1KzDMPDalf6vJqPLFWV706NOy9odizaIYBAJwTqH/vd9CN4J7Q6PcbyfuZ3ejatj0eB3rrZbI/she47JSU31e2ucrsY+Y3ZNaQO/iunZuwjJibMroibp9syCqzPVzb7UjnwiLwWQgnOmn9/7YD9W8FtDdmce5qY2cc0zf/zd6fsVTuqFurL5oOF/XTgoIYtruLeQpw0DREYzulJFeMtuJ831W8fOvHRhcfzYN7bbEQX7CurUw+t2LJlbfCc6bb+svnSZ0XMGw8exDxeLNir2xo4hp3P2+h9xPL1A9Whqcj/ThWcZy12yFGO+2CF9hvH7X+fi21oY/kt6vufnPt/VVFLKydZps9qZb9a7Lky/sEC2Y2VG8WvnNuMi68ydeO4k22mbXWbwbx3phE96MkcRmSvNfODNRMTL2xqMdAo26UPAgjUFhjMe/9gRBcs4GlZct72rU79GgDUtgSGLnKzakmNK8D8LxYLfa9ua/AEdKZAbyNJJ56rfWetdj9rxKwKvmgFQxnLlGbK6fenj5S75hZ/C+79vf9h92TfKq/s1/vvHB8/pelf1dsIj66LKPCyUV110qPepBF5erAZDUpvYx4XI1cF/58y6bsntsqD60b/xz7s/mdr2LOph29QW++qvEp9/+SKJd+6ccy+XcTM7kvVf+s2af+aineq+JXpyW39HbnFYhGJunboYNXsVd8ovcIS69SUmu9MjKW/IaZ2zgKEwff88hBr5tDNvtETRPWLU4VMR9cwWDeqzurp0svVmJXGcr5S3GKmuxdfnezR3heNiBW8597l7X77t64/4udLNd/9x/11RuS42WM+OPYtszeleqsn/pfTah2uIiVj2ffPPeN8YWxqRkclePSWP//e8Fb3q6WaM9vZJ/CK9+qaE/Z6n5vb97yytf11Z6Y+8+WvyXPUlA/x/fLPLbfvvrD3+mYdg8dhzpjjX+OLOV5Uvlocd77XbF/aIYBA5wWe+6ePHfabe1d+Rn21xehM8Xec18nZ8V9Qt/MSyzDiOnWyx7h/b9Ss8EW8B7T01i/0yNW+FOjLsL+xSQQQQAABBBBAAAEEEEAAAQSqBSjQ2ScQQAABBBBAAAEEEEAAAQQQiIEABXoMkkAICCCAAAIIIIAAAggggAACCFCgsw8ggAACCCCAAAIIIIAAAgggEAMBCvQYJIEQEEAAAQQQQAABBBBAAAEEEKBAZx9AAAEEEEAAAQQQQAABBBBAIAYCFOgxSAIhIIAAAggggAACCCCAAAIIIECBzj6AAAIIIIAAAggggAACCCCAQAwEKNBjkARCQAABBBBAAAEEEEAAAQQQQIACnX0AAQQQQAABBBBAAAEEEEAAgRgIUKDHIAmEgAACCCCAAAIIIIAAAggggAAFOvsAAggggAACCCCAAAIIIIAAAjEQoECPQRIIAQEEEEAAAQQQQAABBBBAAAEKdPYBBBBAAAEEEEAAAQQQQAABBGIgQIEegyQQAgIIIIAAAggggAACCCCAAAIU6OwDCCCAAAIIIIAAAggggAACCMRAgAI9BkkgBAQQQAABBBBAAAEEEEAAAQQo0NkHEEAAAQQQQAABBBBAAAEEEIiBAAV6DJJACAgggAACCCCAAAIIIIAAAghQoLMPIIAAAggggAACCCCAAAIIIBADAQr0GCSBEBBAAAEEEEAAAQQQQAABBBCgQGcfQAABBBBAAAEEEEAAAQQQQCAGAhTobSThBcNqP7+vvMmIv0LEqoiYH4gp7xFN2+J7P5zc1v+TYPihEX26irfOiOk3fvn27eP9/97GZpet67mj2mdNl19oRFap7/5gatvK+5ctmGXe8MtGte+kR0pDxqQOE/F9X+WnxlgPGqPHqlh7K1q+46ZC5sciRuuFuu4WTa35uvd8Vf+oipEf1eszNOK9UtU/TYx5wum3P3XdX5lHl5mhY5tP0r41OqrWvbu95xrfOi5VrtwzMe78n5jwPK/btLN/tf+01xljjvDF3DG11f5Wx+BEJLtJT5Zy+Y3G+GljWd/evtX+UifHb3WswYuePMZYzvNU5Al/IP2fN42amVbHCG2/TlODR5c2BMedEXnyocPS1/3DqNnTsfEbDDR33IuVOlS08rhRy/WNqPH1QZMyq0XNMWLEUy3fkRro+9ZEC7G1ul8txZwvuESfVvFKp/mS2ps6LP2frcxnKeJbym0Euf+V6dIGS1KHBO/5rprb7CAAY86yjKRU/J/6lfLX2v1cHB7+T7uSed5pxlhHzP8eETbX0VF17n2s/IKUmENtK3XntVebnUvp0ivbesV7p9ccv3flRkvE+GLpL2f2XvMPE6sfnpt/q3nrFTfmiQAC0QQo0KO5SfZC952SkpvqdTcie32RO43Ib1S102LBtkVMJeLml7xbdsQ9X1Sur9rwT4oF+6RGReiSB7vIG1yfr2z2pfKxJjbj707Zq3ZsMXtrtc3m3NPEyHerXlvQJ/gCtnPaKy0YQ82txXH79U3EEesmSdq3hnN6UsV4P64GTfXbh0581Oyq/vfBvLfZiC7YV1anHlqxZcvamvtFK8nK5txpMXJYdZ9iwVmG93Y12bx3j4g846B4jFxQHHNuaGVetdquz828wjfWvyx4zTd/Wdxmv7/d8Rv1b+G4f2ooYy4rjtkfaTR2q/tVo/E68Xo27wbvTacdnMvm5tOJ7cdpjBZzH/lzcTDvnWlE/3X+3IPvEdbMD9ZMTLzQW/D+MlJ+o1H/s1X//sjaAftpo6PGj5NhkmPJ5rzbxOhrq+egKt+dGnde0GrekmxB7AggsDQCy/Albmkmtrhbmf0i2taHnxF5dLLgDCxunJ0Z/a3veuywfnvFdM3RjNxQHHMu6MyWkjCKWtm818IPK3pfsZBZu/CDXc3QSNg+dHCfbN4NzkBmaulon33s1BUmsVcyJGvfqnvcP1EsOIfMz9G6ddq/+mgv7OzunmLBWdnOHj884m6qqFxdcwyVR4vjS/v+kh1xrxeV82vFs9fbM/DJ6w5t64qPbN4NvRqlWLDTi/uDZ6vH/VMKdqp83PVbVvw8PNet7Vft7DPN9s2OeJeK6odrtW88n2a3kpR2EXIf4XNxeFjtSp/n1nyf318Izn9t0ybt312p/f5ixNw2WbD/ICnC8Y5T09m8t+DHkbmY9Yldq82qNbubzVu850p0CCAQFwEK9AiZuGCjnuj53uzl6+38Lc9ZrtYjzo64F4nKeFjPpMyj9Zkv7HFeznupZfTfWhlr7YCdqj6bMZzX4yvi/SxsnPl96hUmYuSm4phzXivxxKltkvat4Yv1iIrn/bJOzuzRUVOee30o716oItvC2k+O2Zapc2l8ozxl826wrVRcjssG+2muOOaEWjSa64bNurZU9u4Na6eW9ZqprekvNBon6utRjvsD2zLmI8Ux+7Kwbbe6X0WdQyv9snk3+AG69veDBvNpZTtJaBs1961+Lg5t9F6mvn6l2feL7Eh5nah/S1yO/yTkMkqM6zeWz/F9/+NhfY3INSpyYbN5ixIDfRBAoPcEKNAj5Hx4o3t6xZf/itD1oC6tfoC3u72o/YdypcvVmNBLSJMyj6jzn98vO1JaJ2pCvxTV2sbagW/Yo6NnHijcgjbrN5We7VfMnWExzfUJ7kvdOV3njL3qrcXxTGIvc0/SvpW9cO8Jkkr9NDxndmZ01Bw4A5bNe38hou8La7/7ATu9Y0f021zqFsQistTHZb14jOpfTI5nPhD1GDxvo3u6Vf8999xiwfnrqOM36hfluJ835mSx4KwP20ar+1WjWDvxeoN9q+58OrH9OI0RNfetHn9DI6U3q5pP13l/OeiH3qERN68qYxToi7u3DG2sbFS/siW0QLfM59XX0M/gWj/QL27EjI4AAt0gQIEeIYvDw/evqPQd8WSEroks0LMje18imqq9sJ3KruK4c2i7Fknpv+HdelSp5D3QSrzFgh2sK3PQ5bkbNuiqUtp7PPzL1VN96n1ZVpF3TRWc6rUBWglvWdsmad/K5TSzx3ihC55VnxHPbnJfJBX59mJ9gc7mSztFzHGLNX6rO0Y25z4mRtbU7GcqLy2O9X+11THn2t9wg9q3/0/ty3+DNpm0ffxiLo4V5bifi91KWW/YviX9ubC5t7pfRTVspV827wbrLJxUq0+j+bSynSS0jZT7CJ+Lw/k9x1ckHXpVVXXBf0G+9BxPzH+HGFaKBSedBN+4x7hhoz6r5Ht3hcZp6R+Lb0KP71Z/qIm7B/EhgMDSCFCgR3TO5t3gPmQrYndJWmEVdh+0sfTUya2ZH0Z1SGK/RpcWz5+TqgxPjTvba80zO+J+U1TOqH6tus87akZSAAAgAElEQVRgrnSFMebdtcbohg//JO1b2Vzpc2LMH1Xnwoj54GTBXnDPbjbvBmfUZxd7PvjPXF4s2Je2s/+Pjmrfzmmv5kJzxrfOmdyW/pt2xm+179DG0rPUN7W+yJaKBaev1fGq2w/m3T1GpL/GOFosOJHfi5uNq5Xjft6YunbATjdasKvV/arZmKO2u2CTHutVvPtqWTczn6jbjWu/Vj/vo34uZnPu3WLk5AWfCcZ6/dRY+tbqf8/m3WAV8cOr/90S8+LtBfubcfVMWlz1179wTKt5S9r8iRcBBJZegAK9DfN6i3eJBDW4/5rMQObr7rT3qIoc+DXbqH/J5HhfM6uAtxFdZ7uOjmp657T3ZRF5yf6RS8boiybHMj/o7JaSMVo27waLwhy0KNiCL1Wib54qZOpeDp/Nu9eIyIa5vhrSp0aRXlo7YK+ef0l1MuQWRpm0fWso512uRg/c8qFGhqfGav8IIxIsMOXeI2JOnJu5EXPpZMG+vBP5yuX0uD3GO+ixSikjmyfGnNBLMjux3bAxhkZKz1M1t89b1PCrawfss+bfm9/O9rMj7i9F5Yh5Y7jFglNzAcV2thPWt5njfl7f761Q+4zxcbPwCQw1NtDafrUYszt4zOHczEkVY90hIqv2v9LSfBY/wqXdQnbEfUJUGi3s6BqjvxH9c1HNUN67WUXetn92s98jioW+L9aabXAL1H3T5c+r6Ov2v16xxLyE4rzz+0aNIn3e03hay1vno2NEBBDoNgEK9A5kNCgwRkeloho8EtWoqpqFiz+pGR0V0+hMSgfCWeQh1MzNc5E3lIjhgy9If/ZnEiRcRfbZBH+tLv5Ve59ZSBBsL/n7UFhqk7VvNZuzudm22r61AyBe7y/75jp7JISuvN7a/A5ufcstmjr77Oj377ez7aDv3HE4l9O5/z71fhB97ou7n7Q+88XOZesRLW+PYN+76y7RuffhOZ9Ofy62uh+02n55FZO79eCxp/V+GCcPyc0tkSMQJwEK9Dhlg1gQQAABBBBAAAEEEEAAAQR6VoACvWdTz8QRQAABBBBAAAEEEEAAAQTiJECBHqdsEAsCCCCAAAIIIIAAAggggEDPClCg92zqmTgCCCCAAAIIIIAAAggggECcBCjQ45QNYkEAAQQQQAABBBBAAAEEEOhZAQr0nk09E0cAAQQQQAABBBBAAAEEEIiTAAV6nLJBLAgggAACCCCAAAIIIIAAAj0rQIHes6ln4ggggAACCCCAAAIIIIAAAnESoECPUzaIBQEEEEAAAQQQQAABBBBAoGcFKNB7NvVMHAEEEEAAAQQQQAABBBBAIE4CFOhxygaxIIAAAggggAACCCCAAAII9KwABXrPpp6JI4AAAggggAACCCCAAAIIxEmAAj1O2SAWBBBAAAEEEEAAAQQQQACBnhWgQO/Z1DNxBBBAAAEEEEAAAQQQQACBOAlQoMcpG8SCAAIIIIAAAggggA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-- 
2.51.2


From d5b6151d3ea4956e4c8b7b9ef56979bc365fabc0 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Mon, 14 Feb 2022 22:25:07 -0700
Subject: [PATCH 10/12] final submission

---
 .../directed-study/report-1/README.md         |  57 +++++++++++-------
 .../directed-study/report-1/README.pdf        | Bin 1244664 -> 1057620 bytes
 .../directed-study/report-1/prep/prep.jl      |   9 ++-
 .../directed-study/report-1/prepped.html      |  34 +++++++++++
 .../directed-study/report-1/prepped.svg       |   2 +-
 .../report-1/prepped_clustered.html           |  34 +++++++++++
 .../report-1/prepped_clustered.svg            |   2 +-
 7 files changed, 113 insertions(+), 25 deletions(-)
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped.html
 create mode 100644 orbital-debris-research/directed-study/report-1/prepped_clustered.html

diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index ac48d354f..1a6e54849 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1,27 +1,26 @@
 ---
 title: "Machine Learning Methods for Orbital Debris Characterization: Report 1"
-# description: |
-#   A short description of the post.
-author: Anson Biggs
-# author:
-# - name: Anson Biggs
-# url: https://ansonbiggs.com
+description: |
+  A short description of the post.
+author:
+  - name: Anson Biggs
+  url: https://ansonbiggs.com
 date: 2022-02-14
-# output:
-#   distill::distill_article:
-#     self_contained: false
-# draft: true
+output:
+  distill::distill_article:
+    self_contained: false
+draft: true
 ---
 
 ## Gathering Data
 
-To get started on the project before any scans of the real debris are made available I opted to find similar 3D models online and to process them as if they were data collected by my team. GrabCad is an excellent source of high quality 3D models and all of the models have at worst a non-commercial license making them suitable for this study. To start I downloaded a high quality model of a 6U CubeSat, which coincidentally enough was designed for detection of orbital debris. This model consists of 48 individual parts most of which are unique.
+To get started on the project before any scans of the actual debris are made available, I opted to find similar 3D models online and process them as if they were data collected by my team. GrabCad is an excellent source of high-quality 3D models, and all of the models have at worst a non-commercial license making them suitable for this study. To start, I downloaded a high-quality model of a 6U CubeSat, which coincidentally enough was designed to detect orbital debris. This model consists of 48 individual parts, most of which are unique.
 
 ![CubeSat Used for Analysis](assembly.jpg)
 
 ## Data Preparation
 
-To begin analysis of the pieces of the satellite key properties from each piece needed to be gathered. The most accessible CAD software for me at the moment is Fusion 360, but most any CAD software is capable of giving properties for a model. The only way to export the properties is to the clipboard of my computer and required clicking on each individual part of the CubeSats assembly. This task was easily automated using an autohotkey script to automatically push my computers clipboard to a file. Below is an example of what each file looks like, but only a portion of the file for brevity. The text file is generated in a way that makes it difficult to parse so a separate piece of code was used to collect all of the data from all of the part files and then turn it into a `.csv` file for easy import into Matlab.
+To begin analysis of the satellite, fundamental properties from each piece needed to be derived. The most accessible CAD software for me is Fusion 360, but almost any CAD software can give properties for a model. The only way to export the properties from fusion is to my computer's clipboard. This creates a long process that requires clicking on each part of the CubeSats assembly, then creating a text file and pasting my clipboard to the file. This task was easily automated using an AutoHotkey script to automatically push my computer's clipboard to a file. Below is an example of each file's contents, but only a portion of the file for brevity. The text file is generated in a way that makes it difficult to parse, so a separate piece of code was used to collect all of the data from all of the part files and then turn it into a `.csv` file for easy import into Matlab.
 
 ```txt
 ...
@@ -35,23 +34,30 @@ Physical
 ...
 ```
 
-The full file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data but most of the columns are unsuitable for characterization of 3D geometry. Its important that the only properties considered are scalars that are independent of a models orientation of position in space. Part of the data provided was a moment of inertia tensor. This was computed down to $I_x$, $I_y$, and $I_z$, which was then used to compute an $\bar{I}$. Then bounding box length, width, and height were used to compute a total volume that the object takes up. In the end the only properties used in the analysis of the parts were: mass, volume, density, area,bounding box volume, $\bar{I}$. Some parts also had to be removed due to being outliers to the final dataset is 44 rows and 6 columns. Below is a splom plot which is a great way to visualize data of high dimensions. As you can see most of the properties correlate with one another.
+The entire file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data, but most of the columns are unsuitable for the characterization of 3D geometry. The only properties considered must be scalars independent of a model's position orientation in space. Part of the data provided was a moment of inertia tensor. The tensor was processed down to $I_x$, $I_y$, and $I_z$, which was then used to calculate an $\bar{I}$. Then bounding box length, width, and height were used to compute the total volume that the object takes up. In the end, the only properties used in the analysis of the parts were: mass, volume, density, area, bounding box volume, $\bar{I}$, and material. Some parts also had to be removed because the final dataset is 44 rows and 7 columns. Below is a _Splom_ plot which is a great way to visualize data of high dimensions. As you can see, most of the properties correlate with one another.
 
-![Data before clustering](prepped.svg)
+:::l-body-outset
+<embed
+  type="text/html"
+  src="prepped.html"
+  width="100%"
+  style="height: 40vh"
+/>
+:::
 
-Now that the data is processed and clean characterization in Matlab can begin. The original idea was to perform _PCA_, but the method had difficulties producing meaninful results. This is likely due the dataset being very small for machine learning, and that the variation in the data is high. Application of _PCA_ will be visited again once the dataset grows. The first step for characterization is importing our data into Matlab.
+Now that the data is processed and clean, characterization in Matlab can begin. The original idea was to perform _PCA_, but the method had difficulties producing meaningful results. This is likely because the current dataset is tiny for machine learning and the variation in the data is high. The application of _PCA_ will be revisited once the dataset grows. The first step for characterization is importing our data into Matlab.
 
 ```m
 data = readmatrix('prepped.csv');
 ```
 
-Next _k-means_ will be used to cluster the data. Since it is hard to represent data in higher dimensions than two only two columns of data will be provided for the clustering. For now I think it makes most intuitive sense to treat volume and mass as the most important columns, and the volume vs mass plot shows 3 fairly distinct groups.
+Next _k-means_ will be used to cluster the data. Since it is hard to represent data in higher dimensions than two, only two columns of data will be provided for the clustering. For now, I think it makes most intuitive sense to treat volume and mass as the most critical columns since the volume vs. mass plot shows 3 reasonably distinct groups.
 
 ```m
 [idx,C] = kmeans(data(:,1:2),3);
 ```
 
-We can look at the distribution of parts in each cluster to ensure that the each cluster has a good amount of data. Since _k-means_ is an iterative method, relies on a user guess, and randomness its important to make sure that the clusters make some sense.
+We can look at the distribution of parts in each cluster to ensure that each cluster has at least a few data points. Since _k-means_ is an iterative method that relies on a user guess and randomness, it's essential to ensure that the clusters make some sense.
 
 ```m
 histcounts(idx) =
@@ -59,16 +65,23 @@ histcounts(idx) =
     22    13     9
 ```
 
-Then we plotting Volume vs. Mass using our clusters we get the following plot. These make intuitive sense, but it is clear that the dataset needs much more data for <strong style="color:#00ff00;">Cluster 3</strong>.
+Then plotting Volume vs. Mass using our clusters produces the following plot. These make intuitive sense, but it is clear that the dataset needs much more data for <strong style="color:#00ff00;">Cluster 3</strong>.
 
 ![Volume and Mass clusters](clusters.svg)
 
-Below is all of the data clustered. Since the _k-means_ only used Mass and Volume to come up with its clusters some of the properties do not cluster well against eachother. This is also a powerful cursory glance at what properties are correlated.
+Below is another _Splom_, but with the clusters found above. Since the _k-means_ only used Mass and Volume to develop its clusters, some of the properties do not cluster well against each other. This is also a powerful cursory glance at what properties are correlated.
 
-![Clusters for all data](prepped_clustered.svg)
+:::l-body-outset
+<embed
+  type="text/html"
+  src="prepped_clustered.html"
+  width="100%"
+  style="height: 40vh"
+/>
+:::
 
 ## Next Steps
 
-The current dataset needs to be grown in both the amount of data aswell ass the variety of data. The most glaring issue with the current dataset is that there are only two different material types. Modern satellites, and therefore their debris, are composed of dozens of unique materials. The other and harder to fix issue is finding more properties of the data. Properties such as cross sectional are or aerodynamic drag would be very insightful but at the moment there is no good way to collect that data. Thankfully with the 3D scanner methods to obtain more properties can be developed and then applied over the entire dataset.
+The current dataset needs to be grown in both the amount of data and the variety of data. The most glaring issue with the current dataset is only two different material types. Modern satellites, and therefore their debris, is composed of dozens of unique materials. The other and harder to fix issue is finding/deriving more data properties. Properties such as cross-sectional are or aerodynamic drag would be very insightful, but there is no good way to collect that data. Thankfully, the 3D scanner methods to obtain more properties can be developed and applied over the entire dataset.
 
-Once the dataset is grown more advanced analysis can begin. PCA is the current goal, and can hopefully be applied by the next report.
+Once the dataset is grown, more advanced analysis can begin. PCA is the current goal and can hopefully be applied by the next report.
diff --git a/orbital-debris-research/directed-study/report-1/README.pdf b/orbital-debris-research/directed-study/report-1/README.pdf
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diff --git a/orbital-debris-research/directed-study/report-1/prep/prep.jl b/orbital-debris-research/directed-study/report-1/prep/prep.jl
index 17a91c6da..da69026a2 100644
--- a/orbital-debris-research/directed-study/report-1/prep/prep.jl
+++ b/orbital-debris-research/directed-study/report-1/prep/prep.jl
@@ -53,7 +53,7 @@ p1 = plot(df, dimensions = features, kind = "splom", Layout(title = "Raw Data"))
 
 CSV.write("prepped.csv", df)
 
-df.cluster = [1, 3, 2, 1, 2, 1, 1, 3, 1, 3, 2, 3, 1, 1, 2, 2, 1, 3, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 2, 1, 1, 2, 2, 3, 3, 2, 2, 2, 1,] # From matlab kmeans idx
+df.cluster = "Cluster " .* ([1, 3, 2, 1, 2, 1, 1, 3, 1, 3, 2, 3, 1, 1, 2, 2, 1, 3, 1, 3, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 2, 1, 1, 2, 2, 3, 3, 2, 2, 2, 1,] .|> string) # From matlab kmeans idx
 
 
 p2 = plot(df, dimensions = features, color = :cluster, kind = "splom", Layout(title = "Clustered Data"))
@@ -62,3 +62,10 @@ p2 = plot(df, dimensions = features, color = :cluster, kind = "splom", Layout(ti
 
 savefig(p1, "prepped.svg", width = 1000, height = 1000)
 savefig(p2, "prepped_clustered.svg", width = 1000, height = 1000)
+
+open("./prepped.html", "w") do io
+    PlotlyBase.to_html(io, p1.plot)
+end
+open("./prepped_clustered.html", "w") do io
+    PlotlyBase.to_html(io, p2.plot)
+end
\ No newline at end of file
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class="overlines-above"/><g class="xaxislayer-above"><g class="xtick"><text text-anchor="middle" x="0" y="934" transform="translate(81.48,0)" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;">0</text></g><g class="xtick"><text text-anchor="middle" x="0" y="934" transform="translate(119.3,0)" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;">200</text></g><g class="xtick"><text text-anchor="middle" x="0" y="934" transform="translate(157.13,0)" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;">400</text></g></g><g class="yaxislayer-above"><g class="y2tick"><text text-anchor="end" x="72" y="4.199999999999999" transform="translate(0,287.95260869565215)" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; 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class="imagelayer"/></g><g class="gridlayer"><g class="x"><path class="xgrid crisp" transform="translate(119.3,0)" d="M0,309.5652173913043v112.30434782608698" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="xgrid crisp" transform="translate(157.13,0)" d="M0,309.5652173913043v112.30434782608698" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y3"><path class="y3grid crisp" transform="translate(0,389.1452173913043)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,365.7152173913043)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,342.2852173913043)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,318.85521739130434)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="xzl zl crisp" transform="translate(81.48,0)" d="M0,309.5652173913043v112.30434782608698" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/><path class="y3zl zl crisp" transform="translate(0,412.5752173913043)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(72,309.5652173913043)" clip-path="url('#clipc459d1xy3plot')"/><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="M0,0" style="fill: none;"/><g class="overlines-above"/><g 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class="gridlayer"><g class="x"><path class="xgrid crisp" transform="translate(119.3,0)" d="M0,559.1304347826087v112.30434782608693" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="xgrid crisp" transform="translate(157.13,0)" d="M0,559.1304347826087v112.30434782608693" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y5"><path class="y5grid crisp" transform="translate(0,607.7104347826088)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="xzl zl crisp" transform="translate(81.48,0)" d="M0,559.1304347826087v112.30434782608693" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/><path class="y5zl zl crisp" transform="translate(0,662.2604347826087)" d="M72,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path 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style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,88.82)" d="M199.2463768115942,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="x2zl zl crisp" transform="translate(208.5563768115942,0)" d="M0,60v112.30434782608688" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/><path class="yzl zl crisp" transform="translate(0,163.01)" d="M199.2463768115942,0h114.52173913043478" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(199.2463768115942,60)" clip-path="url('#clipc459d1x2yplot')"/><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path 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AgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAFwrhPQAACAASURBVAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECb6HGLgAADX9JREFUBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIE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AgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAFwrhPQAACAASURBVAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECb6HGLgAADX9JREFUBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIECAAIGAgIEeKEEEAgQIECBAgAABAgQIECBgoPsBAgQIECBAgAABAgQIECAQEDDQAyWIQIAAAQIECBAgQIAAAQIEDHQ/QIAAAQIECBAgQIAAAQIEAgIGeqAEEQgQIECAAAECBAgQIECAgIHuBwgQIECAAAECBAgQIECAQEDAQA+UIAIBAgQIECBAgAABAgQIEDDQ/QABAgQIECBAgAABAgQIEAgIGOiBEkQgQIAAAQIECBAgQIAAAQIGuh8gQIAAAQIECBAgQIAAAQIBAQM9UIIIBAgQIECAAAECBAgQIEDAQPcDBAgQIECAAAECBAgQIEAgIGCgB0oQgQABAgQIECBAgAABAgQIGOh+gAABAgQIECBAgAABAgQIBAQM9EAJIhAgQIAAAQIECBAgQIAAAQPdDxAgQIAAAQIECBAgQIAAgYCAgR4oQQQCBAgQIECAAAECBAgQIGCg+wECBAgQIECAAAECBAgQIBAQMNADJYhAgAABAgQIECBAgAABAgQMdD9AgAABAgQIECBAgAABAgQCAgZ6oAQRCBAgQIAAAQIECBAgQICAge4HCBAgQIAAAQIECBAgQIBAQMBAD5QgAgECBAgQIECAAAECBAgQMND9AAECBAgQIECAAAECBAgQCAgY6IESRCBAgAABAgQIECBAgAABAga6HyBAgAABAgQIECBAgAABAgEBAz1QgggECBAgQIAAAQIECBAgQMBA9wMECBAgQIAAAQIECBAgQCAgYKAHShCBAAECBAgQIECAAAECBAgY6H6AAAECBAgQIECAAAECBAgEBAz0QAkiECBAgAABAgQIECBAgAABA90PECBAgAABAgQIECBAgACBgICBHihBBAIECBAgQIAAAQIECBAgYKD7AQIECBAgQIAAAQIECBAgEBAw0AMliECAAAECBAgQIECAAAECBAx0P0CAAAECBAgQIECAAAECBAICBnqgBBEIECBAgAABAgQIECBAgICB7gcIECBAgAABAgQIECBAgEBAwEAPlCACAQIECBAgQIAAAQIECBAw0P0AAQIECBAgQIAAAQIECBAICBjogRJEIECAAAECBAgQIECAAAECBrofIECAAAECBAgQIECAAAECAQEDPVCCCAQIECBAgAABAgQIECBAwED3AwQIECBAgAABAgQIECBAICBgoAdKEIEAAQIECBAgQIAAAQIECBjofoAAAQIECBAgQIAAAQIECAQEDPRACSIQIECAAAECBAgQIECAAAED3Q8QIECAAAECBAgQIE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stroke-width: 0px; fill: rgb(239, 85, 59); fill-opacity: 1;"/></g></g></g><rect class="legendtoggle" x="0" y="-9.5" width="94.375" height="19" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/></g></g></g><rect class="scrollbar" rx="20" ry="3" width="0" height="0" style="fill: rgb(128, 139, 164); fill-opacity: 1;" x="0" y="0"/></g><g class="g-gtitle"><text class="gtitle" x="50" y="30" text-anchor="start" dy="0em" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 17px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">Clustered Data</text></g><g class="g-xtitle"><text class="xtitle" x="124.17391304347825" y="961.8" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">mass</text></g><g class="g-x2title"><text class="x2title" x="240.1159420289855" y="961.8" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">volume</text></g><g class="g-x3title"><text class="x3title" x="356.05797101449275" y="988.065625" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">density</text></g><g class="g-x4title"><text class="x4title" x="472" y="976.065625" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">area</text></g><g class="g-x5title"><text class="x5title" x="587.9420289855072" y="961.8" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">box</text></g><g class="g-x6title"><text class="x6title" x="703.8840579710145" y="961.8" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">Ibar</text></g><g class="g-x7title"><text class="x7title" x="819.8260869565217" y="961.8" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">material_index</text></g><g class="g-ytitle"><text class="ytitle" transform="rotate(-90,24.309375000000003,116.15217391304344)" x="24.309375000000003" y="116.15217391304344" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">mass</text></g><g class="g-y2title"><text class="y2title" transform="rotate(-90,24.840625000000003,240.93478260869566)" x="24.840625000000003" y="240.93478260869566" text-anchor="middle" style="font-family: 'Open 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y="615.2826086956522" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">box</text></g><g class="g-y6title"><text class="y6title" transform="rotate(-90,29.450000000000003,740.0652173913044)" x="29.450000000000003" y="740.0652173913044" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">Ibar</text></g><g class="g-y7title"><text class="y7title" transform="rotate(-90,27.575000000000003,864.8478260869565)" x="27.575000000000003" y="864.8478260869565" text-anchor="middle" style="font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;">material_index</text></g></g></svg>
\ No newline at end of file
-- 
2.51.2


From bd3d3441642afd2242d8d6214428318264b9ba37 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Mon, 14 Feb 2022 22:31:19 -0700
Subject: [PATCH 11/12] update url

---
 orbital-debris-research/directed-study/report-1/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index 1a6e54849..d6c7a126e 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -34,7 +34,7 @@ Physical
 ...
 ```
 
-The entire file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/fusion-properties/-/blob/main/compiled.csv) This method gave 22 columns of data, but most of the columns are unsuitable for the characterization of 3D geometry. The only properties considered must be scalars independent of a model's position orientation in space. Part of the data provided was a moment of inertia tensor. The tensor was processed down to $I_x$, $I_y$, and $I_z$, which was then used to calculate an $\bar{I}$. Then bounding box length, width, and height were used to compute the total volume that the object takes up. In the end, the only properties used in the analysis of the parts were: mass, volume, density, area, bounding box volume, $\bar{I}$, and material. Some parts also had to be removed because the final dataset is 44 rows and 7 columns. Below is a _Splom_ plot which is a great way to visualize data of high dimensions. As you can see, most of the properties correlate with one another.
+The entire file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/directed-study/report-1/-/blob/main/compiled.csv) This method gave 22 columns of data, but most of the columns are unsuitable for the characterization of 3D geometry. The only properties considered must be scalars independent of a model's position orientation in space. Part of the data provided was a moment of inertia tensor. The tensor was processed down to $I_x$, $I_y$, and $I_z$, which was then used to calculate an $\bar{I}$. Then bounding box length, width, and height were used to compute the total volume that the object takes up. In the end, the only properties used in the analysis of the parts were: mass, volume, density, area, bounding box volume, $\bar{I}$, and material. Some parts also had to be removed because the final dataset is 44 rows and 7 columns. Below is a _Splom_ plot which is a great way to visualize data of high dimensions. As you can see, most of the properties correlate with one another.
 
 :::l-body-outset
 <embed
-- 
2.51.2


From d75ec67daadc4cfea1865b00309cef1ddc1d7f73 Mon Sep 17 00:00:00 2001
From: Anson <anson@ansonbiggs.com>
Date: Mon, 14 Feb 2022 22:39:32 -0700
Subject: [PATCH 12/12] actual submission

---
 .../directed-study/report-1/README.md         |  28 ++----------------
 .../directed-study/report-1/README.pdf        | Bin 1057620 -> 1244250 bytes
 2 files changed, 3 insertions(+), 25 deletions(-)

diff --git a/orbital-debris-research/directed-study/report-1/README.md b/orbital-debris-research/directed-study/report-1/README.md
index d6c7a126e..0cdb23cdb 100644
--- a/orbital-debris-research/directed-study/report-1/README.md
+++ b/orbital-debris-research/directed-study/report-1/README.md
@@ -1,15 +1,7 @@
 ---
 title: "Machine Learning Methods for Orbital Debris Characterization: Report 1"
-description: |
-  A short description of the post.
-author:
-  - name: Anson Biggs
-  url: https://ansonbiggs.com
+author: Anson Biggs
 date: 2022-02-14
-output:
-  distill::distill_article:
-    self_contained: false
-draft: true
 ---
 
 ## Gathering Data
@@ -36,14 +28,7 @@ Physical
 
 The entire file of the compiled parts properties from Fusion 360 can be seen [here.](https://gitlab.com/orbital-debris-research/directed-study/report-1/-/blob/main/compiled.csv) This method gave 22 columns of data, but most of the columns are unsuitable for the characterization of 3D geometry. The only properties considered must be scalars independent of a model's position orientation in space. Part of the data provided was a moment of inertia tensor. The tensor was processed down to $I_x$, $I_y$, and $I_z$, which was then used to calculate an $\bar{I}$. Then bounding box length, width, and height were used to compute the total volume that the object takes up. In the end, the only properties used in the analysis of the parts were: mass, volume, density, area, bounding box volume, $\bar{I}$, and material. Some parts also had to be removed because the final dataset is 44 rows and 7 columns. Below is a _Splom_ plot which is a great way to visualize data of high dimensions. As you can see, most of the properties correlate with one another.
 
-:::l-body-outset
-<embed
-  type="text/html"
-  src="prepped.html"
-  width="100%"
-  style="height: 40vh"
-/>
-:::
+![](prepped.svg)
 
 Now that the data is processed and clean, characterization in Matlab can begin. The original idea was to perform _PCA_, but the method had difficulties producing meaningful results. This is likely because the current dataset is tiny for machine learning and the variation in the data is high. The application of _PCA_ will be revisited once the dataset grows. The first step for characterization is importing our data into Matlab.
 
@@ -71,14 +56,7 @@ Then plotting Volume vs. Mass using our clusters produces the following plot. Th
 
 Below is another _Splom_, but with the clusters found above. Since the _k-means_ only used Mass and Volume to develop its clusters, some of the properties do not cluster well against each other. This is also a powerful cursory glance at what properties are correlated.
 
-:::l-body-outset
-<embed
-  type="text/html"
-  src="prepped_clustered.html"
-  width="100%"
-  style="height: 40vh"
-/>
-:::
+![](prepped_clustered.svg)
 
 ## Next Steps
 
diff --git a/orbital-debris-research/directed-study/report-1/README.pdf b/orbital-debris-research/directed-study/report-1/README.pdf
index 17cbe365d7a12cb2048bd04873aa01ef812a6143..a70304f325211f38f0663b68499a720632103be2 100644
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