From e012aa91b230328f4ecbfbbce3b8009c76d05196 Mon Sep 17 00:00:00 2001 From: nikhilkhatri Date: Fri, 9 Aug 2024 11:33:58 +0100 Subject: [PATCH] Release version 0.4.2 Co-authored-by: Dimitri Kartsaklis Co-authored-by: Neil Ortega Co-authored-by: Isobel Hooper --- .github/workflows/build_test.yml | 6 +- .github/workflows/docs.yml | 23 ++- .gitmodules | 4 + README.md | 2 +- docs/_static/nav-config.js | 27 ++++ docs/bibliography.rst | 50 +++--- docs/conf.py | 8 +- docs/examples/classical-pipeline.ipynb | 13 +- docs/examples/pennylane.ipynb | 98 ++++++------ docs/examples/quantum-pipeline-jax.ipynb | 29 ++-- docs/examples/quantum-pipeline.ipynb | 29 ++-- docs/examples/rotosolve-optimizer.ipynb | 2 +- docs/index.rst | 2 +- docs/manual-training.rst | 14 +- docs/quantinuum-sphinx | 1 + docs/release-notes.rst | 84 +++++----- docs/requirements.txt | 3 +- docs/tutorials/trainer-classical.ipynb | 36 +++-- docs/tutorials/trainer-hybrid.ipynb | 81 +++++----- docs/tutorials/trainer-quantum.ipynb | 33 ++-- lambeq/backend/quantum.py | 13 +- lambeq/core/utils.py | 52 ++++++ lambeq/training/pytorch_model.py | 2 +- lambeq/training/quantum_trainer.py | 6 +- lambeq/training/trainer.py | 194 ++++++++++++++++++++--- setup.cfg | 5 +- tests/backend/test_quantum.py | 31 ++++ tests/test_utils.py | 14 +- tests/training/test_pytorch_trainer.py | 13 ++ tests/training/test_quantum_trainer.py | 8 + tests/training/test_trainer.py | 2 + 31 files changed, 612 insertions(+), 273 deletions(-) create mode 100644 .gitmodules create mode 100644 docs/_static/nav-config.js create mode 160000 docs/quantinuum-sphinx diff --git a/.github/workflows/build_test.yml b/.github/workflows/build_test.yml index 3f202075..7815fe6f 100644 --- a/.github/workflows/build_test.yml +++ b/.github/workflows/build_test.yml @@ -19,7 +19,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [ 3.9, "3.10", "3.11", "3.12" ] + python-version: [ "3.10", "3.11", "3.12" ] outputs: error-check: ${{ steps.error-check.conclusion }} steps: @@ -49,7 +49,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [ 3.9, "3.10", "3.11", "3.12" ] + python-version: [ "3.10", "3.11", "3.12" ] steps: - uses: actions/checkout@v3 - name: Setup Python ${{ matrix.python-version }} @@ -106,7 +106,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [ 3.9, "3.10", "3.11", "3.12" ] + python-version: [ "3.10", "3.11", "3.12" ] steps: - uses: actions/checkout@v3 - name: Setup Python ${{ matrix.python-version }} diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 0908c702..497e5501 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -7,10 +7,19 @@ on: - 'beta' - 'release' pull_request: + workflow_dispatch: + release: + types: + - released + +# We need the following permission to upload the documentation as a release asset. +permissions: + contents: write env: WORKFLOWS_DIR: .github/workflows DOCS_DIR: docs + DOCS_BUILD_DIR: docs/_build/html jobs: docs: @@ -19,11 +28,12 @@ jobs: steps: - uses: actions/checkout@v3 with: + submodules: recursive fetch-depth: 0 # fetches tags, required for version info - name: Set up Python uses: actions/setup-python@v4 with: - python-version: 3.9 + python-version: "3.10" - name: Build lambeq run: pip install . - name: Install documentation dependencies @@ -42,6 +52,15 @@ jobs: env: REPO: self BRANCH: docs - FOLDER: docs/_build/html/ + FOLDER: ${{ env.DOCS_BUILD_DIR }} GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} CLEAR_GLOBS_FILE: ${{ env.WORKFLOWS_DIR }}/clear-target-files + - name: Zip up documentation to store as release asset + if: ${{ github.event_name == 'release' }} + run: | + tar -cavf lambeq-docs-${{ github.event.release.tag_name }}.tar.gz -C ${{ env.DOCS_BUILD_DIR }} . + - name: Add documentation artifact as release asset + if: ${{ github.event_name == 'release' }} + run: gh release upload ${{ github.event.release.tag_name }} lambeq-docs-${{ github.event.release.tag_name }}.tar.gz --clobber + env: + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 00000000..cce7cbd1 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,4 @@ +[submodule "docs/quantinuum-sphinx"] + path = docs/quantinuum-sphinx + url = https://github.com/CQCL/quantinuum-sphinx.git + branch = dist diff --git a/README.md b/README.md index 234ee3bf..685ebabe 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ lambeq is a toolkit for quantum natural language processing (QNLP). ### Prerequisites -- Python 3.9+ +- Python 3.10+ ### Installation diff --git a/docs/_static/nav-config.js b/docs/_static/nav-config.js new file mode 100644 index 00000000..1bcfecee --- /dev/null +++ b/docs/_static/nav-config.js @@ -0,0 +1,27 @@ +const navConfig = { + "navTextLinks": [ + + { + "title": "Getting started", + "href": "installation.html", + }, + { + "title": "NLP 101", + "href": "nlp-intro.html", + }, + { + "title": "Tutorials", + "href": "tutorials/sentence-input.html", + }, + { + "title": "Code examples", + "href": "notebooks.html", + }, + { + "title": "API reference", + "href": "root-api.html", + }, + ], + "navProductName": "lambeq", + "navIconLinks": [], +} diff --git a/docs/bibliography.rst b/docs/bibliography.rst index 1ed049d5..3e14262c 100644 --- a/docs/bibliography.rst +++ b/docs/bibliography.rst @@ -3,52 +3,52 @@ Bibliography ============ -.. [AC2004] S. Abramsky, B. Coecke. `A Categorical Semantics for Quantum Protocols `_, LiCS 2004 +.. [AC2004] Abramsky S, Coecke B. `A Categorical Semantics for Quantum Protocols `_, LiCS 2004 -.. [SC2021] S. Clark. `Something Old, Something New: Grammar-based CCG Parsing with Transformer Models `_, `arXiv:2109.10044`, 2021 +.. [SC2021] Clark S. `Something Old, Something New: Grammar-based CCG Parsing with Transformer Models `_, `arXiv:2109.10044`, 2021 -.. [CSC2010] B. Coecke, M. Sadrzadeh, S. Clark. `Mathematical Foundations for a Compositional Distributional Model of Meaning `_, `Lambek Festschirft`, special issue of `Linguistic Analysis`, 2010 +.. [CSC2010] Coecke B, Sadrzadeh M, Clark S. `Mathematical Foundations for a Compositional Distributional Model of Meaning `_, `Lambek Festschirft`, special issue of `Linguistic Analysis`, 2010 -.. [CW2021] B. Coecke, V. Wang. `Grammar Equations `_, `SemSpace 2021` +.. [CW2021] Coecke B, Wang V. `Grammar Equations `_, `SemSpace 2021` -.. [FTC2020] G. de Felice, A. Toumi, B. Coecke. `DisCoPy: Monoidal Categories in Python `_, `ACT 2020` +.. [FTC2020] de Felice G, Toumi A, Coecke B. `DisCoPy: Monoidal Categories in Python `_, `ACT 2020` -.. [GL2012] F. Gao, H. Lixing. `Implementing the Nelder-Mead Simplex Algorithm with Adaptive Parameters `_, `Computational Optimization and Applications`,` 51. 259-277.10.1007/s10589-010-9329-3, 2012 +.. [GL2012] Gao F, Lixing H. `Implementing the Nelder-Mead Simplex Algorithm with Adaptive Parameters `_, `Computational Optimization and Applications`,` 51. 259-277.10.1007/s10589-010-9329-3, 2012 -.. [Hea2019] V. Havlíček, A. Córcoles, K. Temme, A. Harrow, A. Kandala, J. Chow, J. Gambetta. `Supervised Learning with Quantum-Enhanced Feature Spaces `_. `Nature`, 567, 2019 +.. [Hea2019] Havlíček V, Córcoles A, Temme K, Harrow A, Kandala A, Chow J, Gambetta J. `Supervised Learning with Quantum-Enhanced Feature Spaces `_. `Nature`, 567, 2019 -.. [HS2007] J. Hockenmaier, M. Steedman. `CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank `_, `Computational Linguistics, Volume 33, Number 3`, September 2007 +.. [HS2007] Hockenmaier J, Steedman M. `CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank `_, `Computational Linguistics, Volume 33, Number 3`, September 2007 -.. [HV2013] C. Heunen, J. Vicary. `Introduction to Categorical Quantum Mechanics `_, `Course Notes`, Oxford University, 2013 +.. [HV2013] Heunen C, Vicary J. `Introduction to Categorical Quantum Mechanics `_, `Course Notes`, Oxford University, 2013 -.. [Kar2016] D. Kartsaklis. `Coordination in Categorical Compositional Distributional Semantics `_, `SemSpace 2016` +.. [Kar2016] Kartsaklis D. `Coordination in Categorical Compositional Distributional Semantics `_, `SemSpace 2016` -.. [Kea2014] D. Kartsaklis, M. Sadrzadeh, S. Pulman, B. Coecke. `Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras `_, `Logic and Algebraic Structures in Quantum Computing and Information`, 2014 +.. [Kea2014] Kartsaklis D, Sadrzadeh M, Pulman S, Coecke B. `Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras `_, `Logic and Algebraic Structures in Quantum Computing and Information`, 2014 -.. [Kea2021] D. Kartsaklis, I. Fan, R. Yeung, A. Pearson, R. Lorenz, A. Toumi, G. de Felice, K. Meichanetzidis, S. Clark, B. Coecke. `lambeq: An Efficient High-Level Python Library for Quantum NLP `_, `arXiv:2110.04236`, 2021 +.. [Kea2021] Kartsaklis D, Fan I, Yeung R, Pearson A, Lorenz R, Toumi A, de Felice G, Meichanetzidis K, Clark S, Coecke B. `lambeq: An Efficient High-Level Python Library for Quantum NLP `_, `arXiv:2110.04236`, 2021 -.. [Lam1999] J. Lambek. Type Grammar Revisited, `Logical Aspects of Computational Linguistics`, 1999 +.. [Lam1999] Lambek J. Type Grammar Revisited, `Logical Aspects of Computational Linguistics`, 1999 -.. [Lea2021] R. Lorenz, A. Pearson, K. Meichanetzidis, D. Kartsaklis, B. Coecke. `QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer `_ `arXiv:2102.12846`, 2021 +.. [Lea2021] Lorenz R, Pearson A, Meichanetzidis K, Kartsaklis D, Coecke B. `QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer `_ `arXiv:2102.12846`, 2021 -.. [NM1965] J. Nelder, R. Mead. `A Simplex Method for Function Minimization `_, `The Computer Journal` 7: 308-13, 1965 +.. [NM1965] Nelder J, Mead R. `A Simplex Method for Function Minimization `_, `The Computer Journal` 7: 308-13, 1965 -.. [Mea2020] K. Meichanetzidis, A. Toumi, G. de Felice, B. Coecke. `Grammar-Aware Question-Answering on Quantum Computers `_, `arXiv:2012.03756`, 2020 +.. [Mea2020] Meichanetzidis K, Toumi A, de Felice G, Coecke B. `Grammar-Aware Question-Answering on Quantum Computers `_, `arXiv:2012.03756`, 2020 -.. [Oea2021] M. Ostaszewski, E. Grant, M. Benedetti. `Structure Optimization for Parameterized Quantum Circuits `_, `Quantum`, 2021 +.. [Oea2021] Ostaszewski M, Grant E, Benedetti M. `Structure Optimization for Parameterized Quantum Circuits `_, `Quantum`, 2021 -.. [Rea2016] L. Rimell, J. Maillard, T. Polajnar, S. Clark. `RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics `_, `Computational Linguistics`, 2016 +.. [Rea2016] Rimell L, Maillard J, Polajnar T, Clark S. `RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics `_, `Computational Linguistics`, 2016 -.. [SCC2014a] M. Sadrzadeh, S. Clark, B. Coecke. `The Frobenius Anatomy of Word Meanings I: Subject and Object Relative Pronouns `_, `Journal of Logic and Computation`, 2014 +.. [SCC2014a] Sadrzadeh M, Clark S, Coecke B. `The Frobenius Anatomy of Word Meanings I: Subject and Object Relative Pronouns `_, `Journal of Logic and Computation`, 2014 -.. [SCC2014b] M. Sadrzadeh, S. Clark, B. Coecke. `The Frobenius Anatomy of Word Meanings II: Possessive Relative Pronouns `_, `Journal of Logic and Computation`, 2014 +.. [SCC2014b] Sadrzadeh M, Clark S, Coecke B. `The Frobenius Anatomy of Word Meanings II: Possessive Relative Pronouns `_, `Journal of Logic and Computation`, 2014 -.. [SJA2019] S. Sim, P. Johnson, A. Aspuru-Guzik. `Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum-Classical Algorithms `_, `arXiv:1905.10876`, 2019 +.. [SJA2019] Sim S, Johnson P, Aspuru-Guzik A. `Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum-Classical Algorithms `_, `arXiv:1905.10876`, 2019 -.. [Spa1998] J. C. Spall, `Implementation of the simultaneous perturbation algorithm for stochastic optimization `_, `IEEE Transactions on Aerospace and Electronic Systems`, 1998 +.. [Spa1998] Spall J C. `Implementation of the simultaneous perturbation algorithm for stochastic optimization `_, `IEEE Transactions on Aerospace and Electronic Systems`, 1998 -.. [Ste2000] M. Steedman. The Syntactic Process, MIT Press, 2000 +.. [Ste2000] Steedman M. The Syntactic Process, MIT Press, 2000 -.. [YK2021] R. Yeung, D. Kartsaklis. `A CCG-Based Version of the DisCoCat Framework `_, `SemSpace 2021` +.. [YK2021] Yeung R, Kartsaklis D. `A CCG-Based Version of the DisCoCat Framework `_, `SemSpace 2021` -.. [YNM2017] M. Yoshikawa, H. Noji, Y. Matsumoto. `A* CCG Parsing with a Supertag and Dependency Factored Model `_, `ACL 2017` +.. [YNM2017] Yoshikawa M, Noji H, Matsumoto Y. `A* CCG Parsing with a Supertag and Dependency Factored Model `_, `ACL 2017` diff --git a/docs/conf.py b/docs/conf.py index b5edf275..c90da4b5 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -62,7 +62,7 @@ numpydoc_show_class_members = False # Add any paths that contain templates here, relative to this directory. -templates_path = ['_templates'] +templates_path = ['_templates', 'quantinuum-sphinx/_templates'] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. @@ -75,7 +75,7 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # -html_theme = 'sphinx_rtd_theme' +html_theme = 'furo' html_theme_options = { 'navigation_depth': -1 } @@ -90,9 +90,9 @@ # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ['_static'] +html_static_path = ['quantinuum-sphinx/_static', '_static'] html_logo = '_static/images/lambeq_logo.png' -html_favicon = '_static/images/favicon.ico' +html_favicon = 'quantinuum-sphinx/_static/assets/quantinuum_favicon.svg' # CSS for allowing text wrapping within table cells html_css_files = [ diff --git a/docs/examples/classical-pipeline.ipynb b/docs/examples/classical-pipeline.ipynb index 5d298acd..fc4538e0 100644 --- a/docs/examples/classical-pipeline.ipynb +++ b/docs/examples/classical-pipeline.ipynb @@ -248,13 +248,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 5: train/loss: 0.6386 valid/loss: 0.7189 train/acc: 0.5786 valid/acc: 0.5333\n", - "Epoch 10: train/loss: 0.5280 valid/loss: 0.6392 train/acc: 0.5857 valid/acc: 0.5833\n", - "Epoch 15: train/loss: 0.4138 valid/loss: 0.4924 train/acc: 0.7500 valid/acc: 0.7500\n", - "Epoch 20: train/loss: 0.1306 valid/loss: 0.2794 train/acc: 0.9857 valid/acc: 0.9500\n", - "Epoch 25: train/loss: 0.0120 valid/loss: 0.0595 train/acc: 0.9929 valid/acc: 0.9833\n", + "Epoch 5: train/loss: 0.6386 valid/loss: 0.7189 train/time: 0.68s valid/time: 1.47s train/acc: 0.5786 valid/acc: 0.5333\n", + "Epoch 10: train/loss: 0.5280 valid/loss: 0.6392 train/time: 0.49s valid/time: 0.15s train/acc: 0.5857 valid/acc: 0.5833\n", + "Epoch 15: train/loss: 0.4138 valid/loss: 0.4924 train/time: 0.38s valid/time: 0.27s train/acc: 0.7500 valid/acc: 0.7500\n", + "Epoch 20: train/loss: 0.1306 valid/loss: 0.2794 train/time: 0.60s valid/time: 0.14s train/acc: 0.9857 valid/acc: 0.9500\n", + "Epoch 25: train/loss: 0.0120 valid/loss: 0.0595 train/time: 0.37s valid/time: 0.21s train/acc: 0.9929 valid/acc: 0.9833\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 2.52s train/time_per_epoch: 0.10s train/time_per_step: 0.03s valid/time: 2.23s valid/time_per_eval: 0.09s\n" ] } ], diff --git a/docs/examples/pennylane.ipynb b/docs/examples/pennylane.ipynb index 7558e0a5..2793c78c 100644 --- a/docs/examples/pennylane.ipynb +++ b/docs/examples/pennylane.ipynb @@ -265,38 +265,39 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 1: train/loss: 0.1542 valid/loss: 0.2271 train/acc: 0.5571 valid/acc: 0.5333\n", - "Epoch 2: train/loss: 0.1318 valid/loss: 0.2877 train/acc: 0.8571 valid/acc: 0.6000\n", - "Epoch 3: train/loss: 0.0677 valid/loss: 0.1879 train/acc: 0.8429 valid/acc: 0.7333\n", - "Epoch 4: train/loss: 0.1274 valid/loss: 0.1289 train/acc: 0.9000 valid/acc: 0.8333\n", - "Epoch 5: train/loss: 0.0604 valid/loss: 0.1909 train/acc: 0.8571 valid/acc: 0.6667\n", - "Epoch 6: train/loss: 0.0572 valid/loss: 0.1599 train/acc: 0.8857 valid/acc: 0.7333\n", - "Epoch 7: train/loss: 0.0147 valid/loss: 0.1156 train/acc: 0.9286 valid/acc: 0.8000\n", - "Epoch 8: train/loss: 0.0057 valid/loss: 0.0661 train/acc: 0.8857 valid/acc: 0.9333\n", - "Epoch 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"Epoch 9: train/loss: 0.0988 valid/loss: 0.1100 train/time: 0.47s valid/time: 0.16s train/acc: 0.9429 valid/acc: 0.8667\n", + "Epoch 10: train/loss: 0.0067 valid/loss: 0.0928 train/time: 0.65s valid/time: 0.17s train/acc: 0.9714 valid/acc: 0.8667\n", + "Epoch 11: train/loss: 0.0854 valid/loss: 0.0410 train/time: 0.47s valid/time: 0.16s train/acc: 0.9714 valid/acc: 0.9667\n", + "Epoch 12: train/loss: 0.0434 valid/loss: 0.0416 train/time: 0.54s valid/time: 0.17s train/acc: 0.9714 valid/acc: 0.9333\n", + "Epoch 13: train/loss: 0.0368 valid/loss: 0.0262 train/time: 0.56s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 14: train/loss: 0.0007 valid/loss: 0.0239 train/time: 0.48s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 15: train/loss: 0.0002 valid/loss: 0.0109 train/time: 0.47s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 16: train/loss: 0.0002 valid/loss: 0.0057 train/time: 0.56s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 17: train/loss: 0.0014 valid/loss: 0.0078 train/time: 0.46s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 18: train/loss: 0.0048 valid/loss: 0.0071 train/time: 0.46s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 19: train/loss: 0.0021 valid/loss: 0.0060 train/time: 0.57s valid/time: 0.25s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 20: train/loss: 0.0007 valid/loss: 0.0051 train/time: 0.46s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 21: train/loss: 0.0002 valid/loss: 0.0046 train/time: 0.49s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 22: train/loss: 0.0001 valid/loss: 0.0054 train/time: 0.58s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 23: train/loss: 0.0001 valid/loss: 0.0057 train/time: 0.49s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 24: train/loss: 0.0000 valid/loss: 0.0058 train/time: 0.46s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 25: train/loss: 0.0000 valid/loss: 0.0058 train/time: 0.57s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 26: train/loss: 0.0000 valid/loss: 0.0058 train/time: 0.46s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 27: train/loss: 0.0000 valid/loss: 0.0059 train/time: 0.45s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 28: train/loss: 0.0000 valid/loss: 0.0059 train/time: 0.47s valid/time: 0.31s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 29: train/loss: 0.0000 valid/loss: 0.0059 train/time: 0.46s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 30: train/loss: 0.0000 valid/loss: 0.0059 train/time: 0.45s valid/time: 0.16s train/acc: 1.0000 valid/acc: 1.0000\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 15.95s train/time_per_epoch: 0.53s train/time_per_step: 0.08s valid/time: 5.52s valid/time_per_eval: 0.18s\n" ] } ], @@ -382,16 +383,16 @@ "output_type": "stream", "text": [ "Epoch: 0\n", - "Train loss: 1.8844525516033173\n", + "Train loss: 1.8844525068998337\n", "Dev acc: 0.8\n", "Epoch: 5\n", - "Train loss: 0.19278545631095767\n", + "Train loss: 0.19278147350996733\n", "Dev acc: 0.9666666666666667\n", "Epoch: 10\n", - "Train loss: 0.014469785994151607\n", + "Train loss: 0.014470159949269146\n", "Dev acc: 0.9333333333333333\n", "Epoch: 15\n", - "Train loss: 0.0006354562428896315\n", + "Train loss: 0.000635529821011005\n", "Dev acc: 0.9666666666666667\n", "Early stopping\n" ] @@ -673,23 +674,26 @@ "output_type": "stream", "text": [ "Epoch: 0\n", - "Train loss: 4.250532686710358\n", + "Train loss: 4.250532507896423\n", "Dev acc: 0.53\n", "Epoch: 5\n", - "Train loss: 1.1775649935007095\n", - "Dev acc: 0.79\n", + "Train loss: 1.186747632920742\n", + "Dev acc: 0.825\n", "Epoch: 10\n", - "Train loss: 3.184345841407776\n", - "Dev acc: 0.74\n", + "Train loss: 0.35468656790908426\n", + "Dev acc: 0.545\n", "Epoch: 15\n", - "Train loss: 0.0829660682938993\n", - "Dev acc: 0.88\n", + "Train loss: 0.41043267399072647\n", + "Dev acc: 0.875\n", "Epoch: 20\n", - "Train loss: 0.0021069025970064104\n", - "Dev acc: 0.815\n", + "Train loss: 0.0038383470964618027\n", + "Dev acc: 0.88\n", "Epoch: 25\n", - "Train loss: 0.0008974437660071999\n", - "Dev acc: 0.78\n", + "Train loss: 0.0011570464266696945\n", + "Dev acc: 0.88\n", + "Epoch: 30\n", + "Train loss: 0.0007703642331762239\n", + "Dev acc: 0.88\n", "Early stopping\n" ] } @@ -736,7 +740,7 @@ { "data": { "text/plain": [ - "0.88" + "0.89" ] }, "execution_count": 24, diff --git a/docs/examples/quantum-pipeline-jax.ipynb b/docs/examples/quantum-pipeline-jax.ipynb index 3063c9fc..06cf2ba6 100644 --- a/docs/examples/quantum-pipeline-jax.ipynb +++ b/docs/examples/quantum-pipeline-jax.ipynb @@ -254,7 +254,7 @@ " optim_hyperparams={'a': 0.2, 'c': 0.06, 'A':0.01*EPOCHS},\n", " evaluate_functions={'acc': acc},\n", " evaluate_on_train=True,\n", - " verbose = 'text',\n", + " verbose='text',\n", " seed=0\n", ")" ] @@ -291,18 +291,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 12: train/loss: 0.6305 valid/loss: 0.7275 train/acc: 0.6143 valid/acc: 0.4667\n", - "Epoch 24: train/loss: 0.8510 valid/loss: 0.6093 train/acc: 0.6571 valid/acc: 0.6667\n", - "Epoch 36: train/loss: 0.6167 valid/loss: 0.7777 train/acc: 0.7000 valid/acc: 0.6333\n", - "Epoch 48: train/loss: 0.2073 valid/loss: 0.7530 train/acc: 0.6857 valid/acc: 0.6333\n", - "Epoch 60: train/loss: 0.2046 valid/loss: 0.6212 train/acc: 0.8143 valid/acc: 0.6000\n", - "Epoch 72: train/loss: 0.1950 valid/loss: 0.7029 train/acc: 0.9429 valid/acc: 0.8000\n", - "Epoch 84: train/loss: 0.3449 valid/loss: 0.5687 train/acc: 0.9571 valid/acc: 0.7667\n", - "Epoch 96: train/loss: 0.2179 valid/loss: 0.6687 train/acc: 0.9429 valid/acc: 0.7667\n", - "Epoch 108: train/loss: 0.2575 valid/loss: 0.6051 train/acc: 0.9429 valid/acc: 0.7667\n", - "Epoch 120: train/loss: 0.1563 valid/loss: 0.5788 train/acc: 0.9714 valid/acc: 0.8000\n", + "Epoch 12: train/loss: 0.6881 valid/loss: 0.6194 train/time: 7.73s valid/time: 3.04s train/acc: 0.6429 valid/acc: 0.7000\n", + "Epoch 24: train/loss: 0.5321 valid/loss: 0.5429 train/time: 0.23s valid/time: 0.05s train/acc: 0.7143 valid/acc: 0.7333\n", + "Epoch 36: train/loss: 0.4615 valid/loss: 0.4834 train/time: 0.23s valid/time: 0.05s train/acc: 0.7714 valid/acc: 0.8000\n", + "Epoch 48: train/loss: 0.2858 valid/loss: 0.4100 train/time: 0.24s valid/time: 0.05s train/acc: 0.8429 valid/acc: 0.7667\n", + "Epoch 60: train/loss: 0.1604 valid/loss: 0.3585 train/time: 0.23s valid/time: 0.05s train/acc: 0.9143 valid/acc: 0.8333\n", + "Epoch 72: train/loss: 0.2836 valid/loss: 0.3231 train/time: 0.23s valid/time: 0.05s train/acc: 0.9429 valid/acc: 0.8333\n", + "Epoch 84: train/loss: 0.3280 valid/loss: 0.3091 train/time: 0.23s valid/time: 0.05s train/acc: 0.9143 valid/acc: 0.8333\n", + "Epoch 96: train/loss: 0.2500 valid/loss: 0.2911 train/time: 0.23s valid/time: 0.05s train/acc: 0.9429 valid/acc: 0.8333\n", + "Epoch 108: train/loss: 0.1780 valid/loss: 0.3062 train/time: 0.24s valid/time: 0.05s train/acc: 0.9286 valid/acc: 0.8333\n", + "Epoch 120: train/loss: 0.0662 valid/loss: 0.2910 train/time: 0.25s valid/time: 0.05s train/acc: 0.9429 valid/acc: 0.8333\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 9.83s train/time_per_epoch: 0.08s train/time_per_step: 0.03s valid/time: 3.49s valid/time_per_eval: 0.03s\n" ] } ], @@ -326,12 +327,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy: 0.6666667\n" + "Test accuracy: 0.96666664\n" ] }, { "data": { - "image/png": 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yud8CIiKz+/fffxEeHg6tVovk5GTs2bMHu3btQtu2bfHnn3/CxsZG3nf16tUYOnQoevTogfnz56Ndu3ZITk7G0aNHERcXh3Pnzhmce8aMGVi6dClsbGzw6KOPQqk0/Lz8/fffx969exESEoL58+eja9euyMjIwJkzZ7B7925kZGSYHPdHH32ECRMmYNCgQXj00UflVuzOzs544403Ku0fHR2Nu+++G+PHj8fRo0fxv//9D7NmzUJwcPDtvYGllEolvvnmG0yYMAHdunXDvHnz0KpVK8THx2Pv3r1wcnLCX3/9Vevz9u3bF7t378Ynn3wCPz8/BAYGys00Kho7dix8fHwwZMgQeHt748qVK/j8888xadIkuRlHTd/zoKAguLi4YM2aNXB0dIS9vT1CQkIMsn/UhDV8g0KipsdUK3ZTbVkPHz4sDBw4ULC1tRX8/PyERYsWCTt27BAACHv37pX3M9WK/aOPPqp0TgDCsmXL5MemWrEvWLCg0rFt27at1G42NDRU6N27t2BtbS0EBQUJ33zzjfCf//xHsLGxMfEuiKKiooRHHnlECAoKEmxsbAQ3Nzdh5MiRwu7duyvtu3nzZmHo0KGCvb29YG9vL3Tu3FlYsGCBcPXqVXmf3NxcYdasWYKLi4sAgG3ZiajJk1qxS1/W1taCj4+PMGbMGOG///2vQdvx8q5fvy7MmTNH8PHxEaysrIRWrVoJd911l/Dbb79V2jciIkI+/6FDh4yeLzk5WViwYIHg7+8vWFlZCT4+PsKoUaOEr776St7HWCt2QRCE3bt3C0OGDBFsbW0FJycnYfLkycLly5cN9pHuQ5cvXxbuu+8+wdHRUXB1dRWeeeYZoaCgwGBfY/cnU/e8vXv3Gl3y4+zZs8K0adMEd3d3QaPRCG3bthWmT58uhIaGVhpTamqqwbHS30n5VvDh4eHC8OHDBVtbWwFAlW3Z165dKwwfPly+dlBQkPB///d/QlZWlsF+NXnPBUFcYqVr167yEihsy958KAShEX2cTkQWNXXqVFy6dEnuzERERGTKG2+8gTfffBOpqanw8PCw9HCIGgXOuSJqoQoKCgweR0RE4J9//sGIESMsMyAiIiKiJo5zrohaqHbt2mHu3Llo164dYmJi8OWXX8La2hqLFi2y9NCIiIiImiQGV0Qt1Pjx4/Hzzz8jKSkJGo0GgwYNwnvvvWdy4V8iIiIiqhrnXBEREREREdUDzrkiIiIiIiKqBwyuiIiIiIiI6gHnXBmh1+uRkJAAR0dHKBQKSw+HiKjFEAQBOTk58PPzq7QoakvHexMRkWXU5t7E4MqIhIQE+Pv7W3oYREQtVmxsLFq3bm3pYTQqvDcREVlWTe5NDK6McHR0BCC+gU5OThYeDRFRy5GdnQ1/f3/55zCV4b2JiMgyanNvYnBlhFRu4eTkxBsYEZEFsOytMt6biIgsqyb3JosWtB84cACTJ0+Gn58fFAoFtm7dWuX++/btg0KhqPSVlJRksN/q1asREBAAGxsbhISE4MSJE2Z8FURERERERBYOrvLy8hAcHIzVq1fX6rirV68iMTFR/vLy8pKf27hxIxYuXIhly5bhzJkzCA4Oxrhx45CSklLfwyciIiIiIpJZtCxwwoQJmDBhQq2P8/LygouLi9HnPvnkE8yfPx/z5s0DAKxZswbbtm3DunXr8Morr9zOcImIiIiIiExqkn1ue/XqBV9fX4wZMwaHDx+WtxcXF+P06dMYPXq0vE2pVGL06NE4evSoyfMVFRUhOzvb4IuIiMiSeG8iImp6mlRw5evrizVr1mDz5s3YvHkz/P39MWLECJw5cwYAkJaWBp1OB29vb4PjvL29K83LKm/58uVwdnaWv9jqloiILI33JiKipqdJBVedOnXCE088gb59+2Lw4MFYt24dBg8ejE8//fS2zrt48WJkZWXJX7GxsfU0YiIiorqpz3tTWEoYHvrnIbx66NV6HCEREVXU5FuxDxgwAIcOHQIAeHh4QKVSITk52WCf5ORk+Pj4mDyHRqOBRqMx6ziJiIhqoz7vTfnafISlhiFPm1cv5yMiIuOaVObKmLCwMPj6+gIArK2t0bdvX4SGhsrP6/V6hIaGYtCgQZYaIhERkUXZqGwAAEXaIguPhIioebNo5io3NxeRkZHy4+joaISFhcHNzQ1t2rTB4sWLER8fjx9++AEAsHLlSgQGBqJbt24oLCzEN998gz179mDnzp3yORYuXIiHH34Y/fr1w4ABA7By5Urk5eXJ3QOJiIhaGo1azIAV6gotPBIioubNosHVqVOnMHLkSPnxwoULAQAPP/ww1q9fj8TERNy8eVN+vri4GP/5z38QHx8POzs79OzZE7t37zY4x4wZM5CamoqlS5ciKSkJvXr1wvbt2ys1uSAiImoppMxVsa7YwiMhImreFIIgCJYeRGOTnZ0NZ2dnZGVlwcnJydLDISJqMfjz17TbeW/icuIwYcsE2KptceLBE2YaIRFR81Sbn79Nfs4VERERVc1GLWauCrWF4GeqRETmw+CKiIiomdOoxDlXAgSU6EssPBoiouaLwRUREVEzJ825AtjUgojInBhcERERNXNqpRoKKACwHTsRkTkxuCIiImrmFApF2bwrZq6IiMyGwRUREVELIM27YuaKiMh8GFwRERG1AHJwpWNwRURkLgyuiIiIWgCWBRIRmR+DKyIiohaAZYFERObH4IqIiKgFkNqxM3NFRGQ+DK6IiIhaAI2ac66IiMyNwRUREVELwIYWRETmx+CKiIioBZDKAjnniojIfBhcERERtQBSWSDnXBERmQ+DKyIiohZAzlyxLJCIyGwYXBEREbUA1iprAEChlpkrIiJzYXBFRETUAjBzRURkfgyuiIiIWgC2YiciMj8GV0RERC2A1IqdZYFERObD4IqIiKgFYFkgEZH5MbgiIiJqAdiKnYjI/BhcERERtQBcRJiIyPwYXBEREbUA0pwrlgUSEZkPgysiIqIWwEYtZq5YFkhEZD4MroiIiFoAOXPFskAiIrNhcEVERNQCsCyQiMj8LBpcHThwAJMnT4afnx8UCgW2bt1a5f5btmzBmDFj4OnpCScnJwwaNAg7duww2OeNN96AQqEw+OrcubMZXwUREVHjJ5UFMrgiIjIfiwZXeXl5CA4OxurVq2u0/4EDBzBmzBj8888/OH36NEaOHInJkyfj7NmzBvt169YNiYmJ8tehQ4fMMXwiIqImw1plDYBzroiIzEltyYtPmDABEyZMqPH+K1euNHj83nvv4Y8//sBff/2F3r17y9vVajV8fHzqa5hERERNHluxExGZn0WDq9ul1+uRk5MDNzc3g+0RERHw8/ODjY0NBg0ahOXLl6NNmzYmz1NUVISiorKbTXZ2ttnGTEREVBP1fW+S5lwV64uhF/RQKjjtmoiovjXpn6wff/wxcnNzMX36dHlbSEgI1q9fj+3bt+PLL79EdHQ0hg0bhpycHJPnWb58OZydneUvf3//hhg+ERGRSfV9b5LmXAGcd0VEZC5NNrjasGED3nzzTWzatAleXl7y9gkTJuD+++9Hz549MW7cOPzzzz/IzMzEpk2bTJ5r8eLFyMrKkr9iY2Mb4iUQERGZVN/3JilzBbA0kIjIXJpkWeAvv/yCxx57DL/++itGjx5d5b4uLi7o2LEjIiMjTe6j0Wig0WhMPk9ERNTQ6vvepFaqoVaooRW0bGpBRGQmTS5z9fPPP2PevHn4+eefMWnSpGr3z83NxfXr1+Hr69sAoyMiImq8NGqudUVEZE4WDa5yc3MRFhaGsLAwAEB0dDTCwsJw8+ZNAGJJxJw5c+T9N2zYgDlz5mDFihUICQlBUlISkpKSkJWVJe/z0ksvYf/+/bhx4waOHDmCe+65ByqVCg888ECDvjYiIqLGRioNLNQyc0VEZA4WDa5OnTqF3r17y23UFy5ciN69e2Pp0qUAgMTERDnQAoCvvvoKWq0WCxYsgK+vr/z1/PPPy/vExcXhgQceQKdOnTB9+nS4u7vj2LFj8PT0bNgXR0RE1MjI7diZuSIiMguLzrkaMWIEBEEw+fz69esNHu/bt6/ac/7yyy+3OSoiIqLmiWWBRETm1eTmXBEREVHdSJkrlgUSEZkHg6sGotXpERabCZ3edKaOiIjInKQ5V8YyV4XaQugFfUMPiYioWWFw1QAEQcAzG85i6urD+OtcgqWHQ0RELZSp4CqzMBN3/nonXtj7ggVGRUTUfDC4agC/n43H9ktJAIDwpBwLj4aIiFoqU3OuorKikFOcg3Op5ywxLCKiZoPBlZklZRVi2Z+X5Me38ootOBoiImrJTLViz9fmAwDySvIMtkdlRWFb1LYqm08REVEZi3YLbO4EQcDLm88jp1ALtVIBrV5AOoMrIiKyEFOt2KWgqkhXBK1eC7VS/PXgjSNv4GzKWbRxbIMenj0adrBERE0QM1dmdCI6A/uvpcJarcQLozsAADLy2P6WiIgsQyoLLNRVyFyV5Mvfl89epeSniH8WpDTA6IiImj4GV2YUn1kAABgQ4IYBge4AgAxmroiIyELkzJXW8IM+qSwQMAy0cktyK20jIiLTGFyZUU6hFgDgZKuGm701AAZXRERkOaa6BRrLXAmCgLzivErPExGRaQyuzCinsAQA4KixgntpcJVdqEWJjuuIEBFRwzNVFli+FDBPK35frC+GVtAabCMioqoxuDIjKXPlaKOGs60VlApxOzsGEhGRJdSkLFAKtHKLcyttIyKiqjG4MqNsObiyglKpgKudmL1ix0AiIrIEuRV7FZkrqQTQ2DYiIqoagyszypbKAm3ElrbSvCtmroiIyBJs1MZbsRdoC+TvpaDKoFSQmSsiohphcGVGZQ0trAAArvbMXBERkeXIDS20xte5Kv+91Cmw4vNERGQagyszyqmQuXJnx0AiIrIgU2WB5cv+pPlXxppcEBFR1RhcmVH5hhZAWVkgM1dERGQJUnBVrDO8D5UPnoyVBRaUFICIiKrH4MqMpMyVk41YFujOOVdERGRB0pyrqjJXnHNFRFR3DK7MqGLmypVlgUREZEGm5lwZa2jBOVdERLXH4MpMSnR65BfrAIit2IHyZYFFJo8jIiIylzq3YteyFTsRUU0wuDKT3NKsFVC+oYV4U2PmioiILMFYK3atXmvwmGWBRER1x+DKTKSSQFsrFaxU4tvsJpcFllhsXERE1HIZKwusmJWSmlvkFpeVBRbpiqDVa0FERFVjcGUmFRcQBsotIpxfDL1esMi4iIio5bJRiZkrraCVg6XyzSzKP64UdDF7RURULQZXZlKxmQUAuNqLc690ekEOvoiIiBqKRq2Rv5dKASsGV3JDi3KZK8Cw6QURERnH4MpMyhYQtpK3adQqOGrEYItrXRERUUOTygIBoFArNrUwlaGqmKli5oqIqHoMrszEWOYKANwcuNYVERFZhlKhhLVSvA9JmSspaHKwcgAgZrIEQWBwRURUBxYNrg4cOIDJkyfDz88PCoUCW7durfaYffv2oU+fPtBoNGjfvj3Wr19faZ/Vq1cjICAANjY2CAkJwYkTJ+p/8NXIrrCAsMTVTmrHzuCKiIganlQaKLVjl8oCPe08AYjzsUr0JQbrXAEMroiIasKiwVVeXh6Cg4OxevXqGu0fHR2NSZMmYeTIkQgLC8MLL7yAxx57DDt27JD32bhxIxYuXIhly5bhzJkzCA4Oxrhx45CSkmKul2GUqcyVe7mFhLMKSjDzq6P4Yl9kg46NiIharoodA6XugB62HvI+eSV5cjDlonEBUHluFhERVaaufhfzmTBhAiZMmFDj/desWYPAwECsWLECANClSxccOnQIn376KcaNGwcA+OSTTzB//nzMmzdPPmbbtm1Yt24dXnnllfp/ESZIc66cbA0zV27lgqu/ziXgWFQGIlPy8PSI9g02NiIiarnk4KpCQwtHK0fYqGxQqCtEbkmuHFx52XkhsyhTDsKIiMi0JjXn6ujRoxg9erTBtnHjxuHo0aMAgOLiYpw+fdpgH6VSidGjR8v7GFNUVITs7GyDr9slZ640xudcZeQVY/eVZABAWm4Rcou4fggREZUxx70JKGvHXrEs0N7KHnZWdgCA9IJ0CBCXDPGy8wLAskAioppoUsFVUlISvL29DbZ5e3sjOzsbBQUFSEtLg06nM7pPUlKSyfMuX74czs7O8pe/v/9tj9VkQ4vSOVexGfk4Epkub7+ZznILIiIqY457E1A256pYJ879lboF2lnZwd7KHgCQki+W0isVSrjZuIn7sSyQiKhaTSq4MpfFixcjKytL/oqNjb3tc2YbacUOlJUF7ruaimKdXt5+M4OfCBIRURlz3JuAcpmr0lbsUkbKWHBlb2UvdxGsaeYqJT8FH578EOdTz9fLeImImhKLzrmqLR8fHyQnJxtsS05OhpOTE2xtbaFSqaBSqYzu4+PjY/K8Go0GGo3G5PN1YbKhRWlZYPnACgBimLkiIqJyzHFvAozMuZIyV2o72KnFssDywZVUKlhxPSxjLqdfxrN7nkVKfgqisqKwZvSaeh8/EVFj1qQyV4MGDUJoaKjBtl27dmHQoEEAAGtra/Tt29dgH71ej9DQUHmfhmI6c2V4oxwQIJZbxGQwuCIiIvOr2IpdykjZW9mXZa4KxODKwcpB3lZd5io0JhQP//uwHJhlFGTU/+CJiBo5iwZXubm5CAsLQ1hYGACx1XpYWBhu3rwJQCyJmDNnjrz/k08+iaioKCxatAjh4eH44osvsGnTJrz44ovyPgsXLsTXX3+N77//HleuXMFTTz2FvLw8uXtgQ6luzhUAuNhZYVqfVgA454qIiBqGVBYotWIvKCkAIGaujJUFStmsqoKrIl0RXj38Kgp1hQh0DgQAZBVlmecFEBE1YhYtCzx16hRGjhwpP164cCEA4OGHH8b69euRmJgoB1oAEBgYiG3btuHFF1/Ef//7X7Ru3RrffPON3IYdAGbMmIHU1FQsXboUSUlJ6NWrF7Zv316pyYW55ZhYRFjqFggAd3byQjtPsZY9hnOuiIioAUhlgXLmSlv1nCtpW1UNLTILM5FXkgeVQoWVI1Ziyh9TkFmUaa6XQC2IIAg4l3oOHVw7yP8WiRoziwZXI0aMgCAIJp9fv3690WPOnj1b5XmfeeYZPPPMM7c7vDor0elRWCLOqXKyNXyL7a1VsFYrUazVY3RXb7R1Fz8RTMgsRIlODytVk6rUJCKiJsZWbQugLFgy1ordWHBVVeZKes7B2qGsu6A2HyW6EliprEweR1SdwwmH8dTupzAxcCI+GP6BpYdDVC3+Jm8GUkkgADhUWOdKoVDgoYFtMbS9B0Z28oKXowY2Vkro9ALibxU09FCJiKiF8bYXKzmS8sQlSqTAyFZtKwdSBVrxfuRg5VCjhha5Jbny/o7WjlBAAQDIKmZpIN2ew/GHAQBRWVEWHglRzTC4MgOpJNDOWgW1kUzU63d1xf8eC4GttQoKhQJt3MQbF5taEBGRufna+wIAEvMSAZQFTfZW9rBXG5Zd1XTOVW5xrry/SqmCk8YJwO3PuzoYdxAjNo7Avth9t3Ueqh9xOXEIzwhv0GuGpYQBYIMUajoYXJlBdoHxZhamtHETb2Y30znvioiIzMvPwQ9AueCqpFwr9tIslaSmc67KZ64AwNnaGQBqNe8qvyQfaQVp8mNBEPDZ2c+QXpiOn8N/rvF5mpqorChcu3XNYFtWURb+ifoHWr3WxFGW8djOxzBr2yzcKrzVINcr0BbIwVxGYQb0gr6aI4gsj8GVGeSYaMNuijTvimtdERGRuUmZq+S8ZOj0OsPMlVXlzFVt51wBgIvGBUDtMldP7n4SE7dMRMStCADA+bTz8i/Wp5NPy4seNycluhLM/XcuZv8z2yBgWXFqBV4++HK9B5Wnkk7hSvqVOh2bX5KP+Nx4lOhLcDPnZvUH1IOLaRehFcQAUytokV2U3SDXJbodDK7MINtEG3ZTpODqBoMrIiIyMw9bD6gUKmgFLeJy4+RsQPlugZLywVWxvhgl+hKj55QyV9K+tS0L1Oq1OJ96HgXaAnx08iMIgoBfwn+Rny/SFeFM8plavMqmITY3FreKbqFAW4ATSScAiBm7g/EHAYjNHOpLZmEm5u+aj8d2PgadXlfr48tnFaWGJ+YmlQRKMgpZGkiNH4MrM6ht5kqac3WT7diJiMjM1Eo1vO3EphbXM6/L28s3tJCUb2gBmC4NlOZcSWWBtc1cpRWkQSeIv/AfTTyKrZFbsePGDgBAF7cuAOo30GgsbmTdkL8/nngcgPh3IgUyZ5LPmAxoaysuNw5avRbZxdlIyE2o9fHlA6qGCq7Ophh2h04vTG+Q6xLdjjoFV7GxsYiLi5MfnzhxAi+88AK++uqrehtYUyZ1C3SqceaqdM5VRn6VremJiIjqg4+9D4Cy4MpWbQulQml0zpWV0grWSnGNxrySPOgFPcJSwgzK9OQ5V6Vlgc6a2s25kuZ/Sd44+gZK9CXo5t4Nj3R/BABwJOFIbV5ik3Aj+4b8vRRcHU86Lm8r0BbgcvrlermW1B0SAKKzo2t9fGpBqvx9QwRXekGPc6nnAACOVo4AgPQCBlfU+NUpuJo1axb27t0LAEhKSsKYMWNw4sQJvPrqq3jrrbfqdYBNUY5cFlizzFUrF1soFUBhiR4pOUXmHBoREZHc1CIyMxJAWTmfsW6B5f/MK8nDP9H/4KF/H8JnZz+T95PnXFkZBlc1bcUuZVK6uHWBm42bXKo4o9MMDPQdCAUUiMyMRHJeci1faeNWPnN1M+cmEnIT5CBLamd/MulkvVwrOb/svYvOqn1wVT6gSs1PrWLP+hGdFY3s4mzYqm3Rz6cfAGauqGmoU3B18eJFDBgwAACwadMmdO/eHUeOHMFPP/1kdOHflkYqC6xp5sparUQrV3FRRza1ICIic5OaWkiZK6ndeqWywNJMVPm1rs4mi6VaMdkx8n4V51zVtixQylx1cO2A53o/BwBwsnbC+MDxcLFxQTf3bgDEksHmRMpcSYHUkYQjOJV0CgAwqd0kAJAf3y6DzFUdgquGnnMlzbfq7tEdXnZeAJi5oqahTsFVSUkJNBoNAGD37t24++67AQCdO3dGYmJiVYe2CNnynKuaBVcA0La0HXsM27ETEZGZ+TqIwZX0S3bFDJVEymRJwVVeSR4iMsVufuUDp4pzrmrbil36xd/X3hf3dLgHrw98HavuXAVbtfjB4+BWgwEAR+KbV2mglLka1noYAOCHyz8gpyQHjlaOmNN1DgDgTEr9zLsqn/W73cxV+SyYuUjzrXp59oK7rTsANrSgpqFOwVW3bt2wZs0aHDx4ELt27cL48eMBAAkJCXB3d6/XATZFtS0LBIA27lJTC2auiIjIvKTMVbG+GADkIMZWbStnUQDA3tqwXDC/JB+Rt8RSQoPgqsKcq7pmrnztfaFUKDG903T08e4jPz/EbwgAMXNVl053jVFWURZuFYnt12d0mgGgLOjp59MPndw6wVnjXG/zrm63LLD8nKvy35tLWGoYAKCXVy+424i/W7IskJqCOgVXH3zwAdauXYsRI0bggQceQHBwMADgzz//lMsFW7KcWrZiB4DA0qYW0WnMXBERkXn52fsZPJYyUwqFwqCphZSJkjJaUVlRyCnJAQBkF5etOWRqzlX5zNWppFPYF7vP6HjKB1fG9PDsAXsre2QWZeLOX+/EkoNLKrXpbmqkAMfLzgsDfQfCRmUjPxfiGwKlQol+3uJco/qYd1W+LPBW0a1aLwRcfp5VXkleleue3a7c4ly57DTYM7gsc1XAzBU1fnUKrkaMGIG0tDSkpaVh3bp18vbHH38ca9asqbfBNVW1bcUOAAEelgmuEjILcDUpp9r98ou1GL/yAJb8fqEBRkVEROYkdQuUlC8HlLJUaqUa1iqxS6AUcEnd2wAx8yJ1uJUzVxWCK2nRV51eh2f2PIPn9z5vtBlCYq4YXPk4+FR6DgCslFZ4sueTsFPbIaMwA39F/YUX971Ym5fc6EjzrQKdAmGtsjbI1A30HQgA6O/TH8Dtz7vSC3q5rE8K4mqbvao4z8qc866kYNtZ4wxnjTMzV9Sk1Cm4KigoQFFREVxdXQEAMTExWLlyJa5evQovL696HWBTVNtW7AAQWBpc3UjLa7B27LfyinHXqkOY/PkhJGcXVrlv2M1MhCfl4K9ztV8bg4iIGhc7Kzs5AALKGlpIzwFlgRJQFnyVD650gk7OXkhzrqT9pHMX6gpRqC1Ecn6y3MY94laEwVhyinPk4MzHznhwBQBzu8/FoZmHsHrUagBig4USXf2sAVUfjiUewx0b78DvEb/XaH9pvlWAcwAAMVsFAJ62nmjn3A4A5MzV7c67Si9Ih1bQQqlQIthTrDaqTXCVV5KHfK04bUFaI60hgispkykFV5xzRU1BnYKrKVOm4IcffgAAZGZmIiQkBCtWrMDUqVPx5Zdf1usAm6Lsusy5crODUgHkFeuQWsN27FqdHo99fwr/2XSu+p2N+HDHVWTkFaNYq8fx6Kp/YEWVZtRyCrXQ6bkWFxFRU1e+NNAgc2WkuYUUfFWcQ5VVnAW9oC8rCyydc+Vg5QCVQiUfE5sTKx8TlRVlcA7pF2lXjWuldbYqslJZYWiroVAqxF9fatoww9y0ei3eO/4eMgoz8N8z/0WRrvr7uJS5CnAKAABMbjcZ3d2747Eej0GhEOe9dXDtIM+7Ck8Pr/P4pPlWHjYe6ODaAUDtgisp22hvZS8Hg+YMrqQSRinDKpUFFmgLTC5kTdRY1Cm4OnPmDIYNEzvb/Pbbb/D29kZMTAx++OEHfPbZZ9Uc3fzVpVugtVqJ1q7iTaWmpYHhSTnYfSUZm8/EISWn6sxTRediM/HLyZvy4zMxZbXXOy8lofdbO3Ewoqx0o/yYpLJHIiJqusqXBkoNLQDjwVXFLoKSrKIsFGgLIED80E3KdikUCoN5V3E5cfIx17OuG5yj4i/S1VEqlHLDjMaSyfjr+l9ysJJemI5tUduqPaZi5srTzhM/3/UzZnWZJe+jVCjR06MnAOB82vk6j0/qFOhj74NA50AAtVtIWGpg4WnrCS9bsULJnMGVtO6ZlLmyVdvK5Yxsx06NXZ2Cq/z8fDg6iqtl79y5E9OmTYNSqcTAgQMRExNTzdHNW5FWh2KtuPihUy0yV0Dt511dTiibTHwlsep5U/nFWry29QJW7LyKi/FZWPrHRQgC4Oss/rA6c7MsuFp/5AZu5Zdg69myEsDyY8rMZ3BFRNTUSQsJAxWyVEbKAitmlKT9s4qykFMs3n/UCjU0Ko28jzzvqjjbMHOVWSFzlVt1MwtjXDXitITGkLkq0hVhdZhYqtjRtSMAYP2l9fJCyMbo9DrczBE/4JQyV6b09BSDq/IlmbWVlC8GsN723mXBVS0yV1Ig5WXnJa85Zc6OgVI2U8quKhQKOXvFeVfU2NUpuGrfvj22bt2K2NhY7NixA2PHjgUApKSkwMnJqV4H2NSolUr8sWAIfnx0ABxqkbkCgHZScFXDta4uJ5YFV5cSqm53++upOPzv2E2s2hOJu1Ydwrm4LDho1Phydt/S47ORX6xFXpEWJ2+InwReTS47/41ywVVWAYMrIqKmrnwwUz54qi5zZau2RSfXTgDEskCpJNDe2l4uZwPK2rFnFmUiLtcwc1V+bnFCXmmWwqHmwZWLjXju2na8M4dfwn9Bcn4yfOx98PXYr+Fg5YDorGgciDtgsF+hthBfnf8KEbcikJCXgBJ9CayV1tUGlVJwdT719jNX3nZlwVV8bjyKdEXQ6XUGmUVjpLJATztPObhqkLLAcg1OGqKpxY2sG/i//f8nr7FFVBd1Cq6WLl2Kl156CQEBARgwYAAGDRoEQMxi9e7du14H2NSolAoE+7tgWAdPqJSK6g8oJ6B0ravo1JoFV+UDqvJZLGNCw8Ufgu29HGBjJf61/9+4Tghu7QwfJxvo9ALOx2XhWFQ6SnTiTS8iORdanR4lOr3B+lsMroiImr7yv9Qb6xZoKrgKcg6Cq42YOcouyq7UKVAiLSRccc5VVlGWQTlfdW3YjXGzcQNg+bLA/JJ8fH3hawDA08FPw83GDfd3vB8A8N3F7wz2/f7S91h1dhXmbp+LXTG7AABtnNpApVRVeY0eHj2ggALxufFIK0ir0zjLl16627jD0doRekGPqxlXMXf7XEzYMgE/Xv7R5PEGZYGlwZU5FxI29m9C+js3V1lgZmEmng59GttvbMdX578yyzWoZahTcHXffffh5s2bOHXqFHbs2CFvHzVqFD799NN6G1xLE+gp3phu1CBzpdcLBgFV+SxWRXlFWhy7Lv4wWjO7D868Pga7Fw7Hw4MDoFAo0KetCwCxNPDAtbI0f5FWjxvp+Yi7VQBtuSYWmQyuiIiaPIPMlbqazJW67Pv2ru3lkr+soizkFRuucSUxNudKrRArOso3tZB+8a9NcFU+K2ZJ125dQ1ZRFjxsPTA5aDIA4MEuD0KtVONMyhl5LS6dXoctEVsAiGWSn54Wf1eSskhVcbR2lLsHXkit23IoUiDkbe8NhUIhX/fFvS/Ki/V+dPIj7I/db/R4OXNVLrgy1lK/Pmj1WjkrVv7fhLzWlRkC6hJ9Cf6z/z/yhwCX0y83WOdman7qFFwBgI+PD3r37o2EhATExYk/NAcMGIDOnTvX2+BaGmkh4Rvp+dV25IvJyEdesQ7q0uxYdFoe8oq0Rvc9HJmGYp0ebdzsEOTpADtrNdp7OcrP92kjfgJ5JuYW9pcGV1LW7WpSDqLTcg3Ox8wVEVHTV74Mr3xZYIhvCBytHDHIb5DR59u7tDfISkmLCldseiEFV3E5cfKCw9JaTtczy5pa1CVzJWXOLJ25kuZNBTkHQa0UA0dve29MbicGWmvOiWt/Hk08ioS8BDhZO8kllUD1860kwV5i+/S6NrWQM1elre4DncTgKqUgBTYqG9zR+g4IELDowCJczbha6fiUAiNzrvJTq5xXVlep+anQCTqolWp42HrI282ZufrwxIc4kXQCdmo7qBVqZBRmyP8uiWqrTsGVXq/HW2+9BWdnZ7Rt2xZt27aFi4sL3n77bej19f8fraVo5WoLK5UCxVo9EjILqtxXKgns1soZno4aCILYPdCYPaUlgXd29jKoh5f0aSvepA5FpuFGej7USgXGdxd/AF9NykZUhTLFbAZXRERNnpuNG6yVpYsEl8tcDWk1BIcfOIxxAePkbeWDqw6uHeCkEedXl59zJbVhl0jZpYtpFwGIc2a6eXQDUJa5MshS1GLOVWNpaHEzWwyu/J38DbbP7zkfaoUahxMO42zKWfx27TcAwN1Bd2PtmLVyUCW9H9WROgYaa2qRX5KP3TG78c6xdzDtz2n44MQHBs+XX0BYWqNKylypFCp8fMfH+HTkpwjxCUG+Nh/P732+0vph5edcudu6QwEFtILWLHPepKDGx85HbrkPwGwNLS6mXcQvV3+BAgq8P+x9uVX9pfRL9XodajnqFFy9+uqr+Pzzz/H+++/j7NmzOHv2LN577z2sWrUKr7/+en2PscVQKRVo4ybewKorDbxUWhLY1dcJ3fzEm5yx0kBBEAyCK2O6+TnBWq1EYYkYGPdp64q+pdms8KScSt0LM/OLa/qSiIiokVIqlOjv0x8OVg6VMigVP4grXxbYwaWDQVmgtICwqbLAyMxIAEBrx9ZyeZvUMTAlPwV6QQ8rpZWcmagJKXNl6YYWUuaqjWMbg+3+jv6Y0n4KAOCDEx/I5Xb3drgX7rbu2DBpA74a8xVG+o+s0XWkphYX0y5CqzesUnly95N4cd+L2Hh1IyJuReB/V/5nkH3KKMyQFxD2sBMzQXe1uwvDWg3Dh8M/xB3+d8BKaYUVI1bA3cYd8bnxOJxwWD5eEAR5zpWXrZfB35U5mlrImcwKwba5FhKW5prd1e4ujGwzUg54pQ8FAPF1mqsMkpqfOgVX33//Pb755hs89dRT6NmzJ3r27Imnn34aX3/9NdavX1/PQ2xZAj3Em1N17dil+Vbd/JzQ1bc0uDLSMfBSQjZScopgZ61CSDvjNy6NWoWerZzlx3d09ERnH7Fs8GpyjhzotfMsbb3LzBURUbOwetRqhN4fKnffM8XH3ge2alsEOAXAw9bDoCxQzlyZCK50gg6AGHAEOQcBKFvrSs5S2BtmKarTWMoCY7PFOToVgyugNHulVONS+iVoBS16efZCe9f2AMR5VIP8BtX4Nbdzbgd7K3sUaAsMSipvZt/E2ZSzUClUeKDzAxjgMwAA8MPlH+R9pJJADxsPWCnFJWK87b3xxegvMDZgrLyfs8YZE9tNBAD8E/WPvD2vJA8FWrGaRgrOzNmO3VSZqJy5qseywOS8ZOy8sRMAMLvrbABAN3cxuJIyV9nF2bjvz/sw4+8ZNVocmqhOwVVGRobRuVWdO3dGRkbjWNCvqZICmOqCq0vlgqtufuINzFjHwNAr4qdKwzp4QKM23ZFIKg0ExOCqU2lwFZOeL6+h1cvfBQDXuSIiai5USlWlNayMcbB2wJ9T/8T/Jv7PYIHg7OLssjlX1oZzrqSyQElrx9Zo5yJmrtIK0pBVlFVpPaOaaixlgbG5YnDV2rF1pedaObTCtPbT5Mf3dbyvztdRKVXo7tEdgGFp4M4YMTDo79MfS0KWYGHfhQDE4EgKqsovIFydSYGTAAB7Y/civ0TsEizNt3K0cpQXmzZnx0Bp3bOK4zVHK/aNVzdCK2jR17svurp3BVAWXF1OE5tahMaE4lbRLaQWpMoNSoiqUqfgKjg4GJ9//nml7Z9//jl69uxZ6/OtXr0aAQEBsLGxQUhICE6cOGFy3xEjRkChUFT6mjRpkrzP3LlzKz0/fvz4Wo/LEgLcqw+uUrILkZZbBKUC6OzjhK6lZYHhSTnQ6gznvO0JF3/wjersXeV1paYWHg7W6OrrBHcHDTwcxMUgM/LEMkApuGLmioio5fGx95GDKoNugaWZK0crR4P9pX0k/o7+sLeyl+f9RGdFG7QIrw0pc5VZmGmxrm5ZRVnIKhIrRvwd/Y3uM7/nfNhb2cPT1tMgS1QX0ryr8utdSS3dpXN38+iGft79oBW02BC+AYDhAsLV6ereFW2d2qJQV4g9sXsAGM63kpizY6CpzJVUiphTnFNpTlhNxeXE4f/2/x82X9uMvJI8/HrtVwDAQ10ekvdp79oe1kpr5JTk4GbOTfwTXZbFO5Z4rE7XpZaldqvclvrwww8xadIk7N69W17j6ujRo4iNjcU///xTzdGGNm7ciIULF2LNmjUICQnBypUrMW7cOFy9ehVeXpXnCG3ZsgXFxWVzftLT0xEcHIz777/fYL/x48fju+/K1pjQaDRoCgJLFxK+UUVwJWWt2nk6wNZahbZudrC3ViGvWIeotDx09BZvcDfT83EuLgsKBTCik6fJ8wHA6C5eeGJ4OwwIdIOytFNgZx9HHIoUU+AudlZy4MfgioioZTPoFlhsvFtgpcyVg5jdCXIJQnJ+Mg7EHcD2G9sBAK0cW9Xq+lJwpRW0yCnJgZO1U61fw+2S2nZ72nqazP752Ptg65StUCvVctanrnp59QIAHIw/iJziHGQWZeJy+mUoFUrc6X+nvN/D3R7GqeRT+O3qb3ii5xMGCwhXR6FQYGLgRHx57ktsi9qGu9rdJc+rKh9cSd/fzpyrowlHYW9lL88nk5jKZjppnKBWqKEVtEgvTK91QA4AX1/4GttvbMf2G9vx6ZlPkVWUhVYOrTDCf4S8j5XSCp3dOuN82nnsi92HE0llH/gfTzxe62tSy1OnzNUdd9yBa9eu4Z577kFmZiYyMzMxbdo0XLp0CT/+aHoROmM++eQTzJ8/H/PmzUPXrl2xZs0a2NnZYd26dUb3d3Nzg4+Pj/y1a9cu2NnZVQquNBqNwX6urq5Gz9fYSMFV7K0ClOiMd16UOwWWZqyUSgW6yPOuykoDfzkpTrQd3sETXk42VV5XrVJi8cQuGNWl7IevNO9KGpezrVirzeCKiKhlk7JSxfpieQ5MxW6BFQMeKbsjNbX4+sLXiM2JhZ+9n0H5XE1oVBq5w6GlmlrInQJNZK0kPvY+Bi3F62qQ7yAEOAUgozADq8NWY3fMbgBAf+/+8nwkABjeejgCnAKQU5KDx3c+joPxB+Vx1MTEQHHe1dGEo8gozDBoZiGRArW6lgXeyLqBJ3c/iYf/fRhH4o8YPCdnMx0Mx6tUKMvasZsoDTydfBpLDy+V58KVJwgCDseLjTpsVDZy1nFW51mVFnKWmlp8feFr6AU92jq1BSDOw5KOs7Sb2Tfx1O6n5Oxlc/RP1D94/8T7lZq4NHZ1XufKz88P7777LjZv3ozNmzfjnXfewa1bt/Dtt9/W+BzFxcU4ffo0Ro8eXTYgpRKjR4/G0aNHa3SOb7/9FjNnzoS9veEnZvv27YOXlxc6deqEp556Cunppmt0i4qKkJ2dbfBlKd5OGthaqaDTC/gsNAJpuZUnT5afbyWRSgOlwKtEp8emU+L6Yw8MqPoHvymdGFwREVlMY7o3VWSrtpXXdYrPjQdQOXNlq7aVW73bqGzkACPIJUjep5NrJ/w48ccalaxVZOmOgXKnQKfKzSzMwUplhSUhSwAAP4f/jJ/DfwYAjGk7xmA/pUKJ5/o8B6VCifNp5+VujTXJXAFAgHMAurl3g07Q4Z1j78gNH8pnrqRzSX/3tfV31N/QC3poBS1e2PcCLqWJzSNyinOQWyJ2n5TW5CrPzVYMrjIKKs/v335jO+bvnI/fI3/HywdfrrQGV3RWNJLzk2GttMb2e7fjud7PYUanGbi/0/2VziXNu5ICqQc6P4BA50DoBT1OJZ2q02uuTznFOVgQugCH4g/hjSNvyOvINSeCIOC9E+/hpys/4VD8IUsPp1bqHFzVh7S0NOh0Onh7G/6H9/b2RlJSUrXHnzhxAhcvXsRjjz1msH38+PH44YcfEBoaig8++AD79+/HhAkToNPpjJ5n+fLlcHZ2lr/8/esWjNQHhUKBgaVd/VbticSg5aFYFRohP1+k1eFwZBoAoJd/WTZOmg/16+k4JGcXIvRKMtJyi+DhoDHIRtVGZ5+y4C3Q3R4udmJwlV+sQ7GW65kREZlTY7o3VaRQKOTSQKk0rOKcq/KNL1o7tpbbu4f4hsBObYfBfoPx3fjv5Pk7tSU1tbBUcCWVBRrrFGgug/wGYULABOgFPRLzEqGAAqPajqq035i2Y/DX1L/wyoBXMLTVUIT4hGBIqyE1vo6UvdoVs0vumidlbwAx+FBAgeis6FqXBgqCgG1R2wCIc7cKtAV4OvRp3My+iYTcBABiSamxUkupqcWh+EMo0Ysf9Or0Ovx05Scs2r9I3nYh7QI2R2w2OPZIgpgh6+vdF+627pjfcz5eG/ia0XJNqXkIIK4FNi5gHAb6DgRgfN5Van4q4nLiavU+1JVOr8MrB1/BjewbAMSmMt9eqHlio6lIzEuUg9vGENDWhkWDq9v17bffokePHhgwYIDB9pkzZ+Luu+9Gjx49MHXqVPz99984efIk9u3bZ/Q8ixcvRlZWlvwVG1s5ndyQvpzdFyvuD0YvfxeU6AR8svsaYjPErj37r6Yiu1ALbycN+pbr8HdXTz90b+WEzPwSvPTrOfx0XPxEbXq/1rBS1e2vuYO3A0qnXyHQ0x6ONlbyc8xeERGZV2O7N1UkBU4CxIYSFbsFlt9Hmm8FiGV0h2Yewtoxa+Fo7VjpmJqSM1dFlg2uqisLrG8v9X9JzhL29e5rsuSwjVMbPNjlQXw5+kt8M+6bWr3X93W8Dw90fgD3drgXj/d8HG8Nfgt3tbtLft7FxkXO7khBS02dSz2HuNw42KptsfGujeji1gUZhRl4cd+LiMmOAVC5mYVEKtfbEL4B0/+ajvdPvI+xv43F+yfehwABMzrNwEv9XgIArDy90qBVvzTOwX6Dqx1jgFOAHHQN9B0ID1sPk8FVan4qpv05Dff/db+85ps5fR72OQ7EHYBGpcHTvZ4GAPx05Se5nLK5uJJxRf7+dPJpC46k9iwaXHl4eEClUiE52bBmNzk5GT4+VdcG5+Xl4ZdffsGjjz5a7XXatWsHDw8PREZGGn1eo9HAycnJ4MuSbKxUuLdva2xdMARD23tAEIANJ8Rg6Y8w8VOdu4P9oFKWLfJorVZi5Yxe0KiVOBiRhoMRYnZrZv+6f6JmY6VCz9YuUCqAnq1coFIq4GQjloEwuCIiMq/Gdm+qqGI3wIrrXJXfp2KrciuVVaV9a8viZYHSnCunhg2uvOy88MqAV2CrtpXXZqpvdlZ2WBKyBG8MfgPP9n4W93S4B9Yqa4N9BvmJDc1qG1xJWatRbUbBw9YDq0ethpuNG67duoYPT34IwHRwtaDXArwx6A24aFwQmRmJn678hJSCFDhZO+HFvi/i1ZBX8WCXB9HJtROyi7Ox8vRKAECxrhinkk8ZjLsqKqUKfbz6AADuChKDyn4+/aBUKHEj+4YcyAiCgHeOvYPMokzkluQiJiemVu9FbSXlJclZqjcHv4knez6JPl59UKQrwhdhX5j12g0tPCNc/v5KxhW5K2lTUKtugdOmVT3hNDMzs1YXt7a2Rt++fREaGoqpU6cCAPR6PUJDQ/HMM89Ueeyvv/6KoqIizJ5d/Q+WuLg4pKenw9fX+H/Wxmz2wDY4FJmGTSdjMX9YO+y+IgaiU3pV7qzU3ssRSyZ2wbI/xRT+sA4eaONe/folVVk/rz9Sc4rk8zjbWSG7UMvgioiohZPKAiUV51wBZU0QAp0D6/36liwLzCvJk5sqNHTmCgCmtp+KKUFT5FJLSxjSagi+vvA1jiUcg17Q12hB5BJ9CXbc2AEAmNROXELH084T7wx5B0+HPi03yPB1MP77mlKhxL0d78XotqOx7uI6pBWkYVSbURjaaqgc/KkVarw28DU89O9D+D3yd4xqMwq2alsUaAvgbuOOjq4da/T63hj8Bi6kXcDoNmJfACdrJ3R3747zaedxPPE4prSfgp0xO+WW9QCQlJskZ/TMYX/sfggQEOwZLL9/C/stxOx/ZuOP63/g4W4PG8xpbMrC08uCK52gw9mUsxjaaqgFR1Rztcpcla/9NvbVtm1bzJkzp1YDWLhwIb7++mt8//33uHLlCp566ink5eVh3rx5AIA5c+Zg8eLFlY779ttvMXXqVLi7uxtsz83Nxf/93//h2LFjuHHjBkJDQzFlyhS0b98e48aNq9XYGoPRXbzh7aRBel4xFm4KQ5FWjyBPe4NmFuXNGdQWozqLN7NHhtz+zczFzhodvMtKCcqaWhSbOoSIiFoAJ43hfchY2dlTvZ7Cs72fNSgpqy8uNi4ALFMWKJUEumpcLdIGHoBFAysA6OnZE/ZW9rhVdAtX0q9UfwDEDoS3im7BzcZNLrMDgGGth2FO17LfH01lriTOGme82PdFvDv0XdzZ5s5KWbVeXr0wq/MsAMArB1/BL1d/ASCWBNb0ffOx98GYtmMM9g/xDQEA/PfMf/HJ6U/w3vH3AIjt2wEgIS+hRueuq71xewEAI/1HytuCPYMxvPVw6AW93EGyJuJy4jDut3F45eArFlsrripSWaA0168pzbuqVeaq/LpR9WXGjBlITU3F0qVLkZSUhF69emH79u1yk4ubN29CqTSMAa9evYpDhw5h586dlc6nUqlw/vx5fP/998jMzISfnx/Gjh2Lt99+u8msdVWeWqXEzP5t8N/QCOy7KrZDndqrlckfDgqFAmsf6ov4zAK0da/8KeLtcrEVf4Axc0VE1LKVLwtUK9VyZ8DyAp0D8XjPx81yfakttyUyV5YqCWxMrJRWGOAzAHtj9+JIwhF5PlRVpJLA8QHj5W6Tkuf7PI/TyadxKf0SOrt1vu3xvdTvJYRnhONMyhm5XXlNSgKrMjFwIn65+gtSC1Lx3UXxd+Ig5yCE+IZgQ/gGeY0uc8grycOJRHHNrfLBFSAGjQfiDuBc6rkanUsQBLx3/D0k5CUgISoBQ/yGYHLQ5Hofc00JgoDvL32P7h7d0c+nH24V3pKzmA90fgDvn3i/Sc27qtMiwvXtmWeeMVkGaKwJRadOnUxG2ba2ttixY0d9Ds/iHhjQBp/vjYROL75mYyWB5alVSrMEVkC5zFU+gysiopasfFmgg5VDg2dSLFkWKLdhb8BOgY3REL8h2Bu7F4cTDmN+z/lV7isIgrwI79iAsZWet1ZZY924dYjIjEBPj56Vnq8tK5UVVoxYgRl/z5A7Gt5ucNXetT1C7w/FgbgD+Df6X9zIuoH3hr2HsylnAcCsTSWOJBxBib4EbRzbVCqzld6v82nnIQhCtf8XQ2+GyuufAcAHJz/AIL9B9bIeW10cTTyKFadXwEXjgtD7Qw2yVsNbD8f7J97HxfSLKNAW3PZi3A2hSXcLbCl8nG0wuotY6te7jcttz6O6HU6lwVUmM1dERC1a+cyVsflW5mbJboFS2+2WHlwNbiV23juXcq7aTnnJ+clIL0yHWqE2OS/JzsoOwZ7B9Raoe9h64NMRn8Leyh6DfOsneLBV22JcwDisHLkSW6duRVf3rvCz9wMAuZW8OeyL3QcAGOE/otL709mtMzQqDbKKsuSOi6bkleRh+YnlAIBHuz+Kzm6dkVWUhfdPvF8v4xQEAYXawlodczn9MgAgsygTe2P3ys0sOrt1RmuH1vC284ZWr61xZs7SGFw1Ef83rhOGtHfHy+NvP1V+O6S1rlgWSETUspUPrm6npXpdWaJbYE5xDkJjQnEy6SSAyl0QWxp/R3+0cWwDraCV3xNTLqRdAAB0cO0AG7VNQwwPgDg3LPT+UHw5+kuzXUNqwGGuskCtXosDcQcAiMFVRVYqK3R17woA1QYgn5/9HCn5KWjt0BpPBj+Jtwa/BZVChR03dmB/7P7bHuuKUysw+OfB2B69vcbHXMu4Jn+/JWKL3Myis1tnKBQK9PXuC6DptGRncNVEtPdyxE+PDcTAdu7V72xGZQ0tGFwREbVk5csCLZG5ctG4AADytfko0hWZ/XqhN0MxfONwvLDvBbkssD7mBjV10uLEWyK3VLmfFFzVZG5WfbO3sodKqTLb+aUGHBmFGbXO2tTEudRzyCzKhJO1E3p79Ta6j1wamHre5HnWXVyH/135HwBgScgS2Kht0MW9Cx7s8iAA4Ndrv97WOBNzE/FT+E8o0ZdgyaElNQ6Grt66Kn9/NOEojieJ5aNd3LoAENvgA02nqQWDK6oVzrkiIiLAMHNlbI0rc3OydoJKIf7C3BDZqz8i/4BWr0Urh1aY1XkW1o1bhw6uHcx+3cZuZueZUCqU2Be7r8qugZfSxGVienj0aKCRNRwnayfYqcUpG+aYdyWVBA5vPbxSIxBJsFcwANOZq28vfItPT38KAHg6+GkMaz1Mfm5q+6kAxMAmvyS/zuP87tJ30Oq1UCvVKNGX4Pm9zyM6K7rKYwq1hbiRfQOAmNUUIMiLP0sfXgzwGQAACEsJQ3pBep3H11AYXFGtuFgwc/XB9nDM/Ooo8oq0DX5tIiIyVL4VuyUyVwqFQs5emTu40gt6nEk5AwD4cPiHWByyGP19+pv1mk1FO+d2mBA4AQDw5TnjpXc6vQ6X0sXgqrtH9wYbW0NRKBTwcxDnXZmjNFBqBDK89XCT+0iZq4jMiEoB0oYrG7DyzEoAwNO9nsZTvZ4yeL69S3v4O/qjWF+MwwmH6zTGtII0bL62GQDw35H/RU+PnsgqysKze55Fid7074yRmZHQC3q4alwxv0dZUxQvWy+424rVWm2d2qKHRw9oBS3+if6nTuNrSAyuqFYsVRaYW6TF1weicCwqAwcj0hr02kREVJml51wBDdfUIuJWBLKKsmCrtkUX9y5mvVZT9HjPx6FUKLE3dq/R7NWN7BvIK8mDrdoW7ZzbWWCE5udj7wOg/oMrnV6HqKwoAJDnVRnjbe8NH3sf6AU9LqZdlLefTz2Pj05+BKA0sAp+qtKxCoUCd/rfCUAsf62L7y99j2J9MXp59sKwVsPw2Z2fwVnjjJjsGISlhJk8Tmpe0cmtE0a1GSX/XKn4/2xK0BQAwNbIrY1yXa7yGFxRrTjbWaZb4InodGhLW9GfupHRoNcmIqLKHKwcoFSIv0ZYInMFNNxaV6eSxbkevb16ywvGUpny2at3jr2Dl/a/hDs33YklB5dAEAT5l/0ubl1MlrU1dVLHwPoOrm7m3ESRrgg2Khu0dqi6gYqUvZJKA7OKsvDS/pegFbQY23Ysnuz5pMljR7UdBQA4EHugykyTMbcKb2Hj1Y0AgPk950OhUMDd1h3DW4mZtoNxB00eezVDnG/VybUTrFXWuLfDvQBQKTM8PnA8rJRWuHbrmhyQNVYMrqhWLJW5OhRRVmN7Kqbh2+4SEZEhpUIJJ2uxNNASc66AsqYWmUWZZr2ONDG/n3c/s16nKZOyV+fTzmPHjR1ILUjFX1F/4XDCYbmZRXMsCZRIHQPrux17ZGYkACDIJajaphzBnuK8q/Op55FWkIYlh5YgMS8R/o7+eGPwG1W2uO/p0RNuNm7IKcmpsnHEofhDePPom0jMFYPIEn0JXjn4Cgq0Beji1gXDWpXN5ZLmdZVfU6uia7fEToGd3DoBAJ7t/Sy+HfstZnWZZbCfs8YZd7YRs2t/XP/D5PkaAwZXVCtScFWs1aOwRGfwXG6RFkVanbHDbtvhyLJSwEsJWSgoNs91iIio5qQSHgdrywRXUlmgNAHeHARBKAuufBhcmdLOuR1e6PMCQnxD8HTw05jcbjIA4JPTn8gd7JpjMwuJVBZY3w0tIm5FABDnRVVHampxIP4ARm4aiQNxB2CttMaKO1ZUW7qrUqow0n8kANOlgQXaArxy8BX8du03zPpnFi6mXcQ7x97BkYQjsFXbYtngZQYB3GC/wVAqlIjMjDQadOoFvdwpUAqu1Eo1BvgOMJohlhpvbIvahhKd8Q/5C7QF+Df6X7Mu6Fyd5pmbJbNx0KihUiqg0wvIzC+Bj7P4KUpkSi7uX3MEXo422P7CsBovAKjTC0jILEBrV1uTx6TkFOJqcg4AcZ2tzPwSnIvLtHhbeiKilk5qx26pzJUUXP15/U8UagtxR+s7MMB3QL1eIyorChmFGdCoNOju3nwzL/VhXvd5mNd9HgCxJG1f3D45OAAs04a9oZhrIWEpc1WTzpRd3LrA0doROcU5UECBzm6d8VTwUzWeJ3hnmzuxOWIz9t7ci6GthkKpUKKPVx/5w5O/rv+FrKIsAGIDi9n/zIZO0EGpUOKj4R9VWhzaWeOMXp69cCblDA7FH8L0TtMNno/PjUdeSR6slFYIdA6sdnyDfAfBy9YLKQUp2Bu7F2MDxsrPCYKAXTG78PGpj5GYlwhbtS2eDH4SD3V9qMFLeZm5olpRKBSVSgNzCkvw+I+ncCu/BFeTc3Azo+ZtPD/YHo5hH+7Ff349ZzIbdfS6WBLYzc8JQ4LE1dVPszSQiMjiRrYZCU9bT/Ty6mWR6/fx6gOVQoWkvCT8cPkHPLrzUfx4+cfbPu/51PPYHr0dgiDIJVLBnsGwUnG+VU05a5wNur+5aFyqnTPUlElrXSXlJ0Ev6OvtvFJwWpPgylplje/GfYdPR3yK/TP2Y9PkTRjZZmSNrzXQdyDs1HZIKUjBs3uexYLQBZiydQrSCtKgF/Ty/61nej2Doa2GQieIv7ctHrAYd/jfYfSccmmgkXlX0uLB7V3a1ygAUilVmBwkZkTfOvYWLqdfBiAGtE/segL/2f8fJOYlwkZlgwJtAT49/Smm/zUdaQUN2wiNwRXVWvngSq8X8J9N5xCVmic/HxabWaPzCIKAP8PET3i2nInHtC+P4GZ65cDsUGl3wKHtPdC3rfgp5Uk2tSAisrjHejyG0PtD4e/ob5HrD/IbhF337cL7w97HhACxocLHpz7G0YSjdT6nIAh4bs9z+L8D/4dlR5bJC5pyvlXtzeoySw46unt0r3FVS1PkaecJlUIFrV5bb2sxFWoL5QWrO7jUbE21Tm6dMLrtaDmrWxvWKmss6r8IvTx7oYdHD7jZuCGlIAVLDi7B/tj9uJF9Aw5WDpjddTZW3bkKL/d/GW8PeRszO880eU5pDtbxpOOVFvsOvyU2pujo2rHGY3y0x6Nym/fHdjyGL8O+xLQ/p+Fo4lFYK63xZPCT2D9jP94Z8g5cNa6IzIyslw9caoPBFdWaFFxl5hfjy/3XsfNyMqxVSoQEil2bjAVXBcU6zP/hFJ788TR0pV3/wpNykJRdCI1aCXd7a1xJzMaU1YcQWy7zJQiCPN9qSHsP9AsQf1icibkFvb5xt+IkImoJLP0Ls6edJya1m4QPhn+AKUFToBf0eGn/S7iUfgmX0i5hf+x+pOSn1Ph8yfnJSC8Ufzn+PfJ37IrZBYDzrepCo9JgScgSOFk74e6guy09HLNSK9XwsvMCACTk1U9pYFRWFPSCHi4aF3jYetTLOatzb8d78ePEH7Fh0gasG7cONiobHE08iiWHlgAA7ut4H+yt7KFWqjG762x5HpQpHV07wsvOCwXagkqNMqROgdJiwTXhaO2ItWPWoo9XH+SU5OCLc18gryQPvb16Y8uULVjQawHsrOwwpf0ULBu8DIC4AHhtOyDeDgZXVGtScPXvxSSs2Cn+x3hrSjfMHCB+cnmuQnCl1wtYuCkMuy4nY/ulJBy5LgZLe6+KN7sh7T3w93ND0dXXCbfyS/DcL2dRohNT6tFpeUjIKoS1Son+AW7o6usEO2sVsgu1iEjJbYiXS0RETYBCocDrg15HT4+eyC7Oxsy/Z2Lmtpl4Zs8zGPPbGCwIXYA9N/dUu0aOVIblrHGGRqUBAFgprZp1MwZzGuE/AocfOCy3am/OpCxdTdqxX0i9gJcPvFzlv8nyJYGW+BAjyCUIS0LEoCq3JBcqhQqzOs+q5ihDCoVCzl7tjd0rb88ryZO7SErNLGrKwdoBX47+EkNbDYWNygb/6fsffDfuO7R1amuw3/DWw+Fu4470wnQciDtQq2vcDgZXVGtScPX72XjoBWBGP3/MHNAGvfzFrNLFhGwUa8vqjT/aeRX/Xizr2rLpVBwAYF94KgBgZCdP+DrbYu1DfeFoo8bZm5n4ZNc1FJbo8P2RGwCAvm1dYWutglqlRC9/FwA1Kw1MyS7Ekz+exololhESETV3GpUGn478FK0cWgEAPG090c65HfSCHgfiDuD5vc9jzfk1VZ4jIlP8hXaQ7yB8NeYreNt5Y2r7qbBR25h9/NS0Se3YpTblpuy4sQPzdszDP9H/4Pm9z+Pp0KdxM/tmpf1q0ynQXKa2nyp3fhwbMFZ+jbUhtVD/9dqv2B69HTq9DosOLEJaQRo8bT0rNcKoCTsrO3wx6gsceeAI5nafa7RNvZXSClPai4sPb4nYUutr1BWDK6o1F7uySYddfJ3w5hTxP0WAux2cbNQo1upxNUns7vf72Th8ue86AGD+MLETzI5LSYjNyMfpm2JTihGdxDS6v5sdPrxXXADvy33XMfSDPfj+aAwAYEIPH/ma/UrnXdWkqcUPR2Ow/VISPtjeuBecIyKi+uFl54W/7/kbp2efxp7pe/DH1D/w19S/8GCXBwEAX4R9gf2x+00eXz5b0Me7D3bdtwtLBy1tkLFT01Zd5koQBHx74Vu8tP8lFOmK0NW9K9RKNQ7FH8K0P6fhSPwRg/1r0ynQXBQKBd4c/CZW3LECrw98vU7nGNZqGO7reB/0gh6LDy7Gs3uexYG4A9CoNPjvyP/CzsquzmOrrsnMtA7TAIjrczVUe3YGV1RrLnbWAABHjRpfPtgHNlbipwUKhQLBpVmlsLhMlOj0+OBfsWxwwcggLJnYBV18nVCs1eP/fjsHnV5Aey8H+LuV/aea0MMXswe2AQCk5RajlYst3runB2aHlKV6+wWIc7sORaZVu66WlLE6c/MW0nOLqtyXiIiaB7VSDWuVtfw4wDkArwx4BTM7iRPvXzn4Cm5k3TB6rLSoqdRAwNJzyqjpkIMrE5mrdRfXYeWZlQCAB7s8iA0TN+D3u3/HAJ8BKNIV4fm9z+Nk0kl5fznQr2EzC3OxUllhbMDYatfKMkWhUOC1kNcwMXAitIJWXlT4naHvoIenectt2zq1RT/vftALevwR2TCLDzO4olqb0ssPIzp5Ys1DfRHgYW/wXG8puLqZiR2XkpCUXQgPB2s8N0qsF57RT2zDeixKDHpGdvKsdP7XJnXFC6M74MN7e2LvSyMwK6QNlMqym9uAQDf4ONkgNacIG0/GmhxnYYlObq4hCMC+q6m387KJiKiJW9R/Efp49UFuSS6e2/tcpa5uJfoSRGVFAbBstoCapjZO4ofD51LPoVBbaPDc1sitcmD1Qp8X8MqAV6BSqhDgHIA1o9dgeOvhKNQVYkHoApxMOomsoiykFIhz0y1ZFlhfVEoV3hn6Dsa0HQMAeL7P8xgfML5Bri1lr36P/L1e2+SbwuCKai3I0wHr5w3AkPaVO9dImatzcZn47vANAMCskLbQqMXs1pRerWCtKvtnN7K0JLA8GysVXhjdEdP7+8NaXfmfqI2VCgvuFH/QfL4nEoUlxrNX5+OyUKwr+08UGp5csxdIRETNkpXKCitGrICXnReis6LxyI5HkJpf9sFbTFYMtHot7NR28HPws+BIqSnq590PfvZ+uFV0C39H/S1vPxB3AG8ceQMAMLfbXDza41GD46xUVvhkxCcY6DsQBdoCPLLjETz070MAxMWJpUV8mzorpRVW3LEC+6bvw2M9Hmuw645pOwaOVo5IykuSM9PmxOCK6pUUXEWm5OJ0zC1YqRRymR8AuNpbY0w3bwCAvbVKLvGrren9WqOViy1Scorw0/HKk0AB4ES0+IlkgLtYdnjgWppBow0iImp5PGw98O3Yb+Fl54WorCg8suMRJOeJH75JzSzau7aHUsFfkah21Eq1PLfvh8s/QC/oEZsTi0UHFkEn6DC53WS82PdFo8dqVBp8dudnmNRuElQKFaKzogGI/xabE4VCAXdb9wa9po3aBh/f8TF23berVm3f64o/OaheeTho0NrVVn58V08/eDkadlh6ZEgArFQKTO3dymhmqiY0ahWeLc1efbkvEnlF2kr7nLghNrx4eHAAPBw0yC3SsmsgEREhwDkA68evh6+9L25k38CiA4sAlM1xqc2ipkTlTeswDQ5WDojOisb+2P1YfHCxvA7Tm0PerDJot1Xb4v1h72PnfTvxTK9nMMBnAB7u+nADjr75GtxqMDztKk9FMQcGV1TvpFbpADB3cECl5/u2dcPJV0fjzbtr33qzvHv7tkYbNzuk5Raj27Id6Pz6vxj76X7EZxZAq9PjdGmr9pBAd9zZWfwPxdJAIiICAH9Hf3w77luolWqcSTmDC6kXGk0DAWq6HKwdcG+HewGIjVPOpZ6Dg5UDlg9bDitl1Z3tJF52Xngi+Al8O+5bDPAdYM7hkhkwuKJ617e0VXqfNi5ymWBFLnbWUKtu75+flUqJJRM7w0olNrsoLNHjWnIulv1xCVcSc5BXrIOjjRqdfBwxqotYihh6JaXaBSSJiKhl8Hf0x8TAiQCAHy//KJcFspkF3Y4HuzwIlUKFfG0+AOD1ga/La69R86e29ACo+XlgQBsUafW4q2ftF5qrrfHdfXHxTS/kFelwPTUXD3x1DLuvJMtNLvoHuEGlVGBoew9Yq5S4mZGPyJRcdPCuWztRIiJqXh7q+hD+vP4ndsbshE4Q7x0sC6Tb4evgi/GB47EtahvuancXJrabaOkhUQNi5orqnY2VCk/eEYTWrnVbFK62NGoV3Oyt0T/ADY8PbwdAXAMLEIMrALDXqDG0g9jd8IfShYmJiIg6u3XGAJ8BcmDlZesFZ42zhUdFTd1rIa/hozs+wpuD37T0UKiBMbiiZuXZOzsYNNQYEFjWjXD+MDHw2ngyFolZBfV2zfCkbKTkFFa/IxERNUpzus6Rv2dJINUHB2sHjA8Yb7CYNbUMjSK4Wr16NQICAmBjY4OQkBCcOHHC5L7r16+HQqEw+LKxMexGJwgCli5dCl9fX9ja2mL06NGIiIgw98ugRsDWWoW3p3QHADho1OjRquzTx0FB7hgQ6IZinR5r90fVy/UuxGVh0meHMOfbE5zLRUTURA1rPQwBTgEAGFwR0e2xeHC1ceNGLFy4EMuWLcOZM2cQHByMcePGISUlxeQxTk5OSExMlL9iYgzLvD788EN89tlnWLNmDY4fPw57e3uMGzcOhYXMLrQEIzt7Ye1DffHdvP6VWr0/P0q8aW44cRPJ2bf/7+G7w9HQ6QWEJ+XgcmL2bZ+PiIganlKhxKsDX0Ufrz6Y1mGapYdDRE2YxYOrTz75BPPnz8e8efPQtWtXrFmzBnZ2dli3bp3JYxQKBXx8fOQvb29v+TlBELBy5Uq89tprmDJlCnr27IkffvgBCQkJ2Lp1awO8ImoMxnXzkedblTc4yB392rqiWKvHmv3Xb+sa6blF+Pt8ovx4+8Wk2zofERFZzkDfgfh+wvcIdA609FCIqAmzaHBVXFyM06dPY/To0fI2pVKJ0aNH4+jRoyaPy83NRdu2beHv748pU6bg0qVL8nPR0dFISkoyOKezszNCQkJMnrOoqAjZ2dkGX9Q8KRQKPD+6NHt1/CbScovqfK5fTsaiWKeHpjQ79i+DKyKqR7w3ERE1PRYNrtLS0qDT6QwyTwDg7e2NpCTjv6h26tQJ69atwx9//IH//e9/0Ov1GDx4MOLi4gBAPq4251y+fDmcnZ3lL39//9t9adSIDW3vgeDWzijS6vFjhc6BeUVahMVmYtOpWOy7anpNLK1Oj5+OiccumdgFVioFIlNyEZGcY/bxE1HLwHsTEVHTY/GywNoaNGgQ5syZg169euGOO+7Ali1b4OnpibVr19b5nIsXL0ZWVpb8FRsbW48jpsZGoVBgfmnL9h+PxchrYn257zp6vLEDU1cfxqLfzmPudyfxzM9nkV1YUukcu6+kICGrEG721pjR3x9D24tt3pm9IqL6wnsTEVHTY9HgysPDAyqVCsnJyQbbk5OT4ePjU6NzWFlZoXfv3oiMjAQA+bjanFOj0cDJycngi5q38d180NrVFhl5xdh8Jg77rqbgg+3h0AuAp6MGIYFuUCsV2HY+ERP/exDnYjPlY3V6AV8fFLsNzuzvDxsrFSb0EBdMloKrgmIdbuUVN/jrIqLmg/cmIqKmx6LBlbW1Nfr27YvQ0FB5m16vR2hoKAYNGlSjc+h0Oly4cAG+vuIvt4GBgfDx8TE4Z3Z2No4fP17jc1Lzp1Yp8ehQcdLymv3XsXDTOQDA7IFtcPLV0dj4xCD89tRg+LvZIu5WAWZ9fQxnbt4CALy77QpOx9yCRq3E7IFtAQBjunhDpVTgSmI2/u/Xcxjw7m4MXB6K6LQ8y7xAIiIiImpwFi8LXLhwIb7++mt8//33uHLlCp566ink5eVh3rx5AIA5c+Zg8eLF8v5vvfUWdu7ciaioKJw5cwazZ89GTEwMHnvsMQBiydcLL7yAd955B3/++ScuXLiAOXPmwM/PD1OnTrXES6RGano/fzjZqBGbUYCMvGJ09XXCa5O6ys/38nfBtueGYVA7d+QV6/Dwtyfw7rbLWHc4GgDwyfRe8HMRFyx2tbfG4CB3AMCvp+OQU6RFkVaPveGmlxQgIiIiouZFbekBzJgxA6mpqVi6dCmSkpLQq1cvbN++XW5IcfPmTSiVZTHgrVu3MH/+fCQlJcHV1RV9+/bFkSNH0LVr2S/FixYtQl5eHh5//HFkZmZi6NCh2L59e6XFhqlls9eoMXtgW3yx7zrsrVVY/WAf2FipDPZxsrHCt3P7Ye53J3EiOgNfHxQDq4VjOmJST1+DfR8b1g4X4rPQr60b7KxV+PNcAk7H3MIjQ9nWl4iIiKglUAim2qG1YNnZ2XB2dkZWVhZr3Ju57MISfLT9Kib08MHgIA+T++UWafHwuhM4HXMLU3r5YeWMXlAoFCb3PxaVjplfHYO3kwbHFo+qcl8iKsOfv6bxvSEisoza/Py1eOaKyJKcbKzw9tTu1e7noFFjw/wQnI/LQp82rtUGS8GtXaBWKpCcXYT4zAK0drWrryETERERUSNl8TlXRE2FRq1C/wA3qJTVZ6FsrVXo5id+snE65pa5h0ZEREREjQCDKyIz6dvWDQBw6gaDKyIiIqKWgMEVkZn0besKgJkrIiIiopaCwRWRmfQLEIOr8KRs5BZpLTwaIiIiIjI3BldEZuLtZIPWrrbQC8DZm8xeERERETV3DK6IzIilgUREREQtB4MrIjPqVxpc1bapRVZBCY5HpUOvt8wydGGxmej3zm58eyjaItcnIiIiaooYXBGZUf9AsWPgocg0/GfTOWTmF1d7zIFrqRjzyX7M+OoY3vzrkrmHWIkgCHh322Wk5Rbhj7D4Br8+ERERUVPF4IrIjDr7OOGZke2hUACbz8Rh9CcHcOpGhtF9i7V6vP33ZcxZdwIpOUUAgO+PxmBdA2ePDkWm4WRppi0iOddi2TMiIiKipobBFZGZvTSuE357cjDaezkgLbcIL24KQ5FWZ7BPak4RZn19TC7DmzOoLf4zpiMA4O1tl7HzUlKDjFUQBHy665r8uKBEh7hbBQ1ybSIiIqKmjsEVUQPo29YVfywYAi9HDWIzCvDd4RvycxfjszDl80M4FXMLjjZqfDOnH96a0h3P3NkeDwxoA0EAnv7pDJb+cRHpuUVVXudyQjauJGbXOdu0/1oqztzMhI2VEq1cbAEAV5Nz6nQuIiIiopaGwRVRA7HXqLFofGcAwOd7IpGaU4R/LyTivjVHkJBViHYe9ti6YAhGd/UGACgUCrw9pRsmB/tBqxfww9EY3PHRPvx6KrbSuSNTcjH3uxOY+NlBTPjvQfR6ayce/+EUbqbn13h8JTo9PinNWj00sK28Ttc1BldERERENcLgiqgBTevdCj1aOSO3SIvZ3xzHUz+dQWGJHsM7euL3BUMQ5OlgsL9apcSqB3pjw/wQdG/lhNwiLRZtPo/tF8UyQa1Ojw+3h2P8ygPYdzUVVioF7KxVyC7UYuflZDz7y1k5i6XXC/jmYBT+OpdQaVw6vYCFm87hfFwW7KxVeOKOIHT0dgQARDC4IiIiIqoRBldEDUipVGDp5K4Aysrt5g0JwLqH+8HZ1srkcYODPPDngqGYFSKWCT7/y1nsuJSEWd8cxxf7rkOrFzCqsxd2vDAc55eNxeanBsFBo8a52ExsPhMHAPhiXyTe2XYFz/58Fit3X4MglAVd//fbOfx1LgFWKgVWPdAbHg4aObi6mpxrzreEiIiIqNlQW3oARC1N/wA3PDSwLTaficNrk7piVkibGh2nVCrw1t3dkJRViD3hKXjix9MAAAeNGh/c2xOTevrK+/Zt64Zn72yP5f+G44PtV+FiZy2X/AHAyt0RyCnUwt/VFn+cS8DZm5lQKRVY9UAfjOoiliV29BazaNdTc6HV6aFW8bMYIiIioqooBOnja5JlZ2fD2dkZWVlZcHJysvRwqBkSBAFavQCrOgQseUVazPzqGC7EZ6GTtyO+nN0H7SqUEwJia/fxKw8gKi1P3nZf39bo4uuEt/++bLCvlUqBFdN74e5gP3mbXi+g67LtKCzRI/Q/d1QqWSQyB/78NY3vDRGRZdTm5y8zV0QWoFAoYKVS1OlYe40aG+aH4HBkOoZ39ICdtfH/xtZqJV6f3BXzvjsJAOjk7Yi3p3SHrbUKDhoV3vrrMjr7OmFCdx9M7OELv9LugBKlUoEOXo64EJ+FiOQcBldERERE1WBwRdQEOdpYYXx3n2r3G9nJC/f1bY2j19Ox+sE+sLVWAQBm9G+DGf2rL0fs4O2AC/FZuJacizFdBTz78xnkF+vw1UP9YK1mmSARERFReQyuiJq5j+8PrvOxneSmFjnYfDoO/1wQuxT+fT4B0/q0rpfxERERETUX/OiZiEySOgZejM/Cxzuvytu/OhAFTtckIiIiMsTgiohM6ugjBlcx6flIySlCa1db2FmrEJ6Ug0ORaRYeHREREVHjwuCKiEzyc7aBg6asenjJxC6Y3s8fgJi9as6i0/Lw17kEeRFmIiIiouowuCIikxQKBdp7iV0C+7V1xYTuPnh0aCCUCuBgRBquJGZbeITmUViiw+xvjuPZn8/i872Rlh4OERERNREMroioSrMHtkVnH0e8PbU7FAoF/N3sMLGHuGDxEz+exsc7ruJifJaFR1m/vj0UjfjMAgDAp7uv4TBLIImIiKgGGkVwtXr1agQEBMDGxgYhISE4ceKEyX2//vprDBs2DK6urnB1dcXo0aMr7T937lwoFAqDr/Hjx5v7ZRA1S/f1bY3tLwxHF9+yRfOevbMDnGzUuJmRj8/3RuKuVYfw4fbwZtHkIiWnEF+UZqs6+zhCEIDnfzmLlOxCC4+MiIiIGjuLB1cbN27EwoULsWzZMpw5cwbBwcEYN24cUlJSjO6/b98+PPDAA9i7dy+OHj0Kf39/jB07FvHx8Qb7jR8/HomJifLXzz//3BAvh6hF6OTjiAOLRuLTGcEY301cb+uLfdfx6e6IGp8jJacQWQUl5hpitT7ecRUz1h6tNIYVO64hr1iHXv4u2PL0YHT2cURabjGe++UsdJx/RURERFWweHD1ySefYP78+Zg3bx66du2KNWvWwM7ODuvWrTO6/08//YSnn34avXr1QufOnfHNN99Ar9cjNDTUYD+NRgMfHx/5y9XVtSFeDlGL4WJnjXt6t8aah/ri9bu6AgA+C43AW39dxt6rKQhPyjYZjJyOuYVhH+zFwPdC8fbfl5HcwFmh3CIt1h64juPRGdh0MlbefikhC5tOi49fv6sr7KzVWP1gH9hZq3AsKgNrD1xv0HESERFR02LR4Kq4uBinT5/G6NGj5W1KpRKjR4/G0aNHa3SO/Px8lJSUwM3NzWD7vn374OXlhU6dOuGpp55Cenq6yXMUFRUhOzvb4IuIau7RoYFYPKEzAGDd4WjM++4kxq88iMmrDiGhdO6SJCWnEE//dBpFWj0KSnT49lA0hn2wF6tCIxosM3T0ejpKdOK1fj5xUy5n/HTXNQgCcFdPX/RtK34gE+TpgDfu7gYA+GTnNVyIa17zy6jx4r2JiKjpsWhwlZaWBp1OB29vb4Pt3t7eSEpKqtE5Xn75Zfj5+RkEaOPHj8cPP/yA0NBQfPDBB9i/fz8mTJgAnU5n9BzLly+Hs7Oz/OXv71/3F0XUQj1xRxA+vj8Yozp7oYuvE2ytVLicmI17vjgsN7wo0enxzIazSM4uQnsvB3w9px/6B7iiWKfHil3XMGfdcaTkmD+Ltf9aWdlxVFoejkal42J8FnZfSYFSAbw4pqPB/vf3bY0J3X2g1Qt4/pezyC/Wmn2MRLw3ERE1PQrBgjPQExIS0KpVKxw5cgSDBg2Sty9atAj79+/H8ePHqzz+/fffx4cffoh9+/ahZ8+eJveLiopCUFAQdu/ejVGjRlV6vqioCEVFRfLj7Oxs+Pv7IysrC05OTpX2J6Lqxd3KxyPrT+Jaci5srJRo5+GAghIdotPy4KBR449nhiDIU2zzvvl0HF7behEFJTq42Vvj/r6tcU+fVujsY/j/r7BEh8iUXHT1dYJSqTB63cISHf65kIiNJ2ORX6zDPb1b4d6+reFsawUAEAQBwz7ci7hbBQhwt8ON9Hzc1dMXJTo9dlxKxpRefvjvzN6VzpuZX4zxKw8iKbsQIYFu+Oi+YLRxt6vnd61qN9Ly8OrWC2jlYosP7u0JhcL4e9CUZWdnw9nZmT9/wXsTEVFjUZt7k7rKZ83Mw8MDKpUKycnJBtuTk5Ph4+NT5bEff/wx3n//fezevbvKwAoA2rVrBw8PD0RGRhoNrjQaDTQaTe1fABGZ1NrVDr89NRgLfjqDgxFpuFy6JpZCAXx8f7AcWAHAvX1bI9jfGc9sOIvwpBysPRCFtQei0D/AFe/d0wMdvB1xLTkHT/7vNKJS89Da1RYz+/tjWp/W8HOxBQDcyivGt4ei8eOxGIMmFRfis/DhjnAsGtcZjwwNRHRaHuJuFcBKpcCH9wVj+tqj2H4xCVq9AIUCeGZke6Ovx8XOGp/O6IV560/geHQGxq08gBdGd8D47j5o42ZX60BHEATcyi+Bm711jfY/HJmGp386I7+2wUEemNq7Va2uSU0L701ERE2PRTNXABASEoIBAwZg1apVAAC9Xo82bdrgmWeewSuvvGL0mA8//BDvvvsuduzYgYEDB1Z7jbi4OLRp0wZbt27F3XffXe3+/OSUqP7o9ALCYjORV6SFThAQ6G6PAA97o/sWa/XYE56C38/GYU94Ckp0AqxVStzbtzW2no1HQUnl0t4Adzt09XPCvqupyC8Wn2/lYosHBvjD2dYKPx2/ifCkHCgVwF/PDsWJ6Ay8+ddlDA5yx4b5AzHl80M4VzqPalJPX6ye1afK13MjLQ+vbDmPY1EZ8jYXOysMDnLHo0MD0betOP9TrxdQrNPDxkpV6RzXU3OxZMsFHI/OwGuTuuCxYe1MXk+vF/DtoWi8vz0cOr0AN3trZOQVw8tRgz0vjYCDpv4+I9PrBXyxLxKRKbl4YXRH+e9JEAQkZBXCz9nG7Nky/vw1je8NEZFl1Obnr8WDq40bN+Lhhx/G2rVrMWDAAKxcuRKbNm1CeHg4vL29MWfOHLRq1QrLly8HAHzwwQdYunQpNmzYgCFDhsjncXBwgIODA3Jzc/Hmm2/i3nvvhY+PD65fv45FixYhJycHFy5cqNGngLyBEVleYlYBlmy5gL1XU+VtQ9t74IP7euJ4VDp+ORGLUzEZKN8Do5ufE569sz3GdPWBqrRsUBAEPLPhLLZdSESfNi5wsLHCgWupWDyhM564IwgbT97Ey5svAAC2vzCsUimiMXq9gE2nYvHziZu4kpiDYp1efq6Xvwus1UpcSchGbrEWdwf74T9jOqGNux1upufjtzNxWLPvunyMlUqBrQuGoJufc6XrxGbk46Vfz+F4tBjITevdCm9M6Ya7Vx3CjfR8PDG8HRZP7FL7N9cIrU6PV7ZcwG+n4wAAGrUSz43qABsrFX46FoOotDzMGdQWb97dzawBFn/+msb3hojIMppUcAUAn3/+OT766CMkJSWhV69e+OyzzxASEgIAGDFiBAICArB+/XoAQEBAAGJiYiqdY9myZXjjjTdQUFCAqVOn4uzZs8jMzISfnx/Gjh2Lt99+u1LjDFN4AyNqHARBwNaweKzZF4Vx3X3w/KgOctAEANmFJTh94xbOx2WhR2snjOzkZfQX/8SsAoxasV/ObAFlgVRhiQ4v/XoOnbwd8eyoDrUeY5FWh8sJ2dh4MhZbzsQbBFoSK5UCbdzscD01T952R0dPAMD+a6no5O2IP54ZYpDlOh6VjkfWn0ResQ521iq8OqkLZg1oA4VCgT3hyXhk/SmolQpsf2E42ns5VLpmVQRBMHifsvJLsGjzOey4lAyVUoHurZxxLjbT6LFLJnbG48ODanW92uDPX9P43hARWUaTC64aG97AiJqfrw5cx3v/hAMAfJxscHTxnfWegUnJKcQ/5xPhYGOFbn5OKNbq8fHOqzgYkQYAUCkV6NfWFbMHtsVdPX2RkVeMcSsPIC23GI8Pb4clpVmowhIdxn56ADcz8tGvrStWTA9GW3fDUspH159EaHgKWrnY4tu5/WqUcbuZno9nfzmLK4nZaOdhj3ae9ohJz8flxGwIAmCtUmLVrN4Y29UbW8Pi8f6/4XCz1+DBkDbILizBh9uvAgC+fLAPJvTwBSCWfV6Mz8L5+CyM6+YNL0eb23oP+fPXNL43RESWweDqNvEGRtT8lOj0mPTZQVxLzsX0fq3x4X3BDXbt0zEZSM4uwuAgd7jYGTaw2HU5GfN/OAWFAlhxfzCm9WmNj3aEY/Xe6/B1tsGuhXcYnVcVn1mAB78+hhvp+bC3VuHTGb0wtpvpRkBHr6fj6Z9O41Z+idHnO3qL63kNDvKQt5XPcAmCgGV/XsIPR8XKAXd7a/i52CL2Vj4yS8/ZxdcJvz892Og8s5riz1/T+N4QEVkGg6vbxBsYUfN0LTkHa/dH4flRHRq8jXpV3vzrEr47fANKBfD8qI74fG8ESnQC1j7UF+OqCJgy84uxYMMZHI4UF0lv7+WA0V28EdzaGdZqJRQKIDIlF+fjsuSOiMGtnfHuPT2QnF2IqNQ8eDvbYGA7txplnLQ6Pf7z6zn8EZZgsN2xNPjLKdLiwZA2ePeeHnV+L/jz1zS+N0RElsHg6jbxBkZEDUmvF/Dq1gv4+USsvG10F29883C/ao8t0emx/J9w/HD0BrT6qn+c39XTFx/fH3xbmSVAnKMVn1mAhMwCuNpbI7i1M45cT8fD352AIACfz+qNu3r61enc/PlrGt8bIiLLYHB1m3gDI6KGptcLeGXLeWw6FQc7axV2LbwDrUrX8KqJrIIS7L+WitAryYi/VYASnR4lOgFt3OzQo7Uz+rRxxcB2bmbt9CeVMzpo1Pj72aEmW+5XhT9/TeN7Q0RkGU1mEWEiIhIplQq8P60nQgLd0d7LoVaBFQA421rh7mA/3B1ct4xRfXhxdEecjL6FEzcysPtKcpXrdxERETVHDK6IiBoJpVKBe/u2tvQw6kytUuKzB3rjXFxmlXPFiIiImisGV0REVG98nG3g48zAioiIWialpQdARERERETUHDC4IiIiIiIiqgcMroiIiIiIiOoBgysiIiIiIqJ6wOCKiIiIiIioHjC4IiIiIiIiqgdsxW6EIAgAxNWYiYio4Ug/d6Wfw1SG9yYiIsuozb2JwZUROTk5AAB/f38Lj4SIqGXKycmBs7OzpYfRqPDeRERkWTW5NykEfjxYiV6vR0JCAhwdHaFQKGp0THZ2Nvz9/REbGwsnJyczj7Dh8HU1LXxdTUdzfE3A7b8uQRCQk5MDPz8/KJWsXC+P96YyfF1NS3N8Xc3xNQF8XabU5t7EzJURSqUSrVu3rtOxTk5Ozeofo4Svq2nh62o6muNrAm7vdTFjZRzvTZXxdTUtzfF1NcfXBPB1GVPTexM/FiQiIiIiIqoHDK6IiIiIiIjqAYOreqLRaLBs2TJoNBpLD6Ve8XU1LXxdTUdzfE1A831dTVVz/fvg62pamuPrao6vCeDrqg9saEFERERERFQPmLkiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6gGDKyIiIiIionrA4IqIiIiIiKgeMLgiIiIiIiKqBwyuiIiIiIiI6oHa0gNojPR6PRISEuDo6AiFQmHp4RARtRiCICAnJwd+fn5QKvn5X3m8NxERWUZt7k0MroxISEiAv7+/pYdBRNRixcbGonXr1pYeRqPCexMRkWXV5N7E4MoIR0dHAOIb6OTkZOHREBG1HNnZ2fD395d/DlMZ3puIiCyjNvcmBldGSOUWTk5OvIEREVkAy94q472JiMiyanJvYkE7ERERERFRPWBwRUREREREVA8afXB14MABTJ48GX5+flAoFNi6dWu1x+zbtw99+vSBRqNB+/btsX79erOPk4iIiIiIWrZGH1zl5eUhODgYq1evrtH+0dHRmDRpEkaOHImwsDC88MILeOyxx7Bjxw4zj5SIiIiIiFqyRt/QYsKECZgwYUKN91+zZg0CAwOxYsUKAECXLl1w6NAhfPrppxg3bpy5hklERERERC1co89c1dbRo0cxevRog23jxo3D0aNHTR5TVFSE7Oxsgy8iIqqhnCRg08NA3ClLj6RZ4b2JiKjpaXbBVVJSEry9vQ22eXt7Izs7GwUFBUaPWb58OZydneUvLtJIRFQLp9cDl7cCO1+39EiaFd6biIianmYXXNXF4sWLkZWVJX/FxsZaekhERE1H2jXxz9hjQG6qZcfSjPDeRETU9DT6OVe15ePjg+TkZINtycnJcHJygq2trdFjNBoNNBpNQwyPiKj5kYIrQQ9c2w70eciy42kmeG8iImp6ml3matCgQQgNDTXYtmvXLgwaNMhCIyIiqoVrO4CUK5YeRc3p9UBaZNnj8G2WGwsREZGFNfrgKjc3F2FhYQgLCwMgtloPCwvDzZs3AYhlE3PmzJH3f/LJJxEVFYVFixYhPDwcX3zxBTZt2oQXX3zREsMnIqq5lHBgw3Tg23FATnL1+zcG2XGAttx81ut7gKJcy42HiIjIghp9cHXq1Cn07t0bvXv3BgAsXLgQvXv3xtKlSwEAiYmJcqAFAIGBgdi2bRt27dqF4OBgrFixAt988w3bsBNR45d0XvyzKAvYsdiyY6kpqSTQoxPgGgjoisQAi4iIqAVq9HOuRowYAUEQTD6/fv16o8ecPXvWjKMiIjIDKVABgIubgeBZQIfRpvdvDNIixD89OwIubYGjn4ulgV3vtuy4iIiILKDRZ66IqIUqygW0xZYeRf0rzBLnKRkjBVcOpctJbFsIJF8GUq/eXhc+QQDy0ipvL8gEdNqanaPglnieiuTMVUeg813i99e2A7qSOg2ViIioKWNwRUSNT3YisKoPsHa48V/om6rYE8CKzsCW+cafl7JAEz4AnFoDmTHAl4OA1QOAT7oAN4/X7brb/gN81B648FvZtpijwIpOwO+PV3/8uY3ABwHAqXWmx+zREfAfANh5AIWZQMyRuo2ViIioCWNwRUSNz/aXgdxkIPUKkBFl6dHUD10J8NfzQEk+ELm7ctCo1wHppV33/HoDUz4HnFoBtm6AtQOgLwH+fqH2GaHog8CpbwEIwL+LgPwMQFsE/PUcoC0ELv8hZqWqIgVVp7+r/JycueoAKFVApwmAgw+QbyRTRkRE1MwxuCKixuXqdvEXfkn8GcuNpT4dWQWkXBa/L8wE8tMNn8+MAXTFgNoGcPYHgkYCCy8DL0cDL1wA7NzF44+sqvk1tUXA36WdUhVK8Zq7XgcOf1YWFOm1QMQu0+fITQFiSzNmSReAWzFlzxVkikEwALh3EP8c9x6w8ArQ/d6aj5OIiKiZYHBFRI1HcR7wz0vi99aO4p8JzSC4yogG9n8gfq8o/bFbvnkFUFZe595ezACVZ+cmBi2AeJ6M6Jpd99BKID0CsPcCHtgobjv7v7Kx+PQQ/wz/2/Q5rv4LoFyW7eo/Zd9LmTZHX8DGSfzexglQ8tZCREQtE++ARNR4HPgIyIoVMzdj3hS31SZzFbELWDceSL1W/b4SXQnw2yPAwRW1G2tt/LtILMELHA60GyFuqxRclSuvM6bnDPF4bSHw78vVXzMtEjj4sfj9hPeBjmOBvvPEx/oSIOhOYPJ/xccRu4GSQuPnkYIpZ3/xz/KLBFc3ZiIiohaGwRURNR4XNot/jn1bDCQAIPFczTvaHV0N3DwKXNpS82vGnhDbnu95t/q5R3WRFQdE7ASgACZ9Cnh2FrdLmSpJ+a57xigUwMTSYCliJ1BSYHw/QJzP9fcLYplh0Cig2zRx++hlYqMMa0dg0grArw/g6AeU5AHR+yufpygXuL5X/F66dsxhcd5WTcZMRETUwjC4IqLGIS8NyCpdEDzoTsAtCNA4AdoCsbFFdQShrIQw82bV+5YnBQiCDri2s3Zjronw0sxPm4GAR/uyLI+pssCqAhWPjoCNCwCh6kYf534BbhwU529NWiEGZgBg6wo8dQh47gzg1k7c3nlS6TiNlAZeDxUXBXYNBDqOA7y7A4JebLVe0zETERG1IAyuiKhxkMr/3DsANs7ivB2/XqXPna7++IwocQ0poJbBVbkMUlVzj+pKOqcUxEiBiMnMVRUldgpFueNNlD7mpQM7lojf3/Ey4BZo+LytK+DgVfZYGtfVf8WOhQZj31a2j0Egtq3mYyYiImpB1JYeABE1IzePATlJQLep1e97cbPYarzNQPGxFEC16lu2j18fIPqAGHj1nVv1+crPzcqMMb1fReWDlMhQsdzOyrbmxwPApd+BuFPi9wol0HO62Cyi4BZw45C4vdNE8U8pOMqMEec5WdmIAZHUPdC9fdXX8ugIxJ0wDM5SrgDnfhaDo4QwoCAD8OoKDH62+rEHDAU0zkBeKhB3suzvQ1dSlqGSFgfuPElshhEZCux4tSx7xswVERERAAZXRFRf9Drg55liQOFzBnAPMr1v8iWxiYTGGfi/CECtKSvpa9WnbD8p0KpJx8Dy+2TFi/O0VDX4EScFVwqlOPcoaj/QaXz1x0lijgK/zjXcdnEzsOC4WGYo6MRAR3o/7D3FzFxhlhiceHcVO/oBYtMIa/uqr2esrPCf/xPLAMub/F9AZVX9+FVWYsnfhU3Alb/KgquYw+IY7TzExYEBwKcn4NJGzAwe/VzcZuMiztsiIiIilgUSUT1JiyhrCJF8qep9pXWTirLERW4FoSzz5Fc+uCr9PvkyUJxf9TnLlw4KOiAnsfoxlxSUlRB2nSr+WZvSQG2x2DgCAAKGAUOeFwOk7Hhg73uVSwIB46V9tSmvq3isTluWNev/mDiG6T+WBUQ1Ub7cT1rcWCr96zShrDW8QgHc/z0w9EXxOkOeB2b8yNbrREREpZi5IqL6UT5zZGo+kKR8CV/432JQkZ8GKNVlay8BYtmgvReQlyIuYNsmxPj5dFog8bz4vdpGbFeeeRNw8a96HOnXAQhi9qXvw2KXQWnuUcW1pow58hmQGi5md6b/IK5HFTAc+Ole4PgaQGUt7lc+uAJKS/tOlpX21abrXvk5W3q9eH1tgdj8Y8JHdQt02o8CVBrgVrR4Ps/O5eZb3WW4b6s+htlFIiIikvHjRiKqH+UzRxWbNVSUcLbs+6v/APGlmRfvbuIcJIlCUbPSwNQrZQGGlLEx1tRCEMQ1sPT60nGWC2raDhGDrPw0sT17ddKvi+tyAcD45WJgBQAdRgPd7xW76mkLxQDRt5fhsRVL++SuezXIXLm2BZRWQEk+kJNQ9r779ap7BknjWLb+VvjfQGKYmH2zsgfa3VG3cxIREbVADK6IqH7E1zBzVZwHpFwWv1dpgNxk4MQ34mM/IxkRKUsSsauKa5cLMFwDxO+NBVe7XgdW9wdOfVs6znKtxFVWQMfSuVbX/jV9Lcmet8Xgqd0IoMf9hs+NWy7OJwPKOu2VV760r6RAbEIBiJ0Sq6OyEtuoS8cnGCmnrIvypYFS1qr9qNo39yAiImrBGFwR0e3TFgHJF8sep0WUzd2pKPG8mNVx8AG6lJac3Twi/lm+U6Ck6xSxXPB6KHDFxHwoKbBr1VdsuABUDq7iz4iLDANA2IbScVaY69R2kPhndXPGivOBq6Wd9EYtqxw8OXoD09YCbYcCA5+qfHz50r4DHwO5SYCjL9C6f9XXlY+XMl8R5bos3mZw1WkCAIWYVZTen4olgURERFQlBldEdPuSLwK6YrGsTqECinNMN5RIKBcIVZyLZCxA8OxU1lL830VAUY7pc/r1AVzait+Xb8eu04qNJwR92f5Z8ZXnOlW3hpQkaq9YhujsD/j1Nr5PpwnAvG1lWabyXAPEgLEkDzj0ibhtwoeAtV3V15VI40w8Lzb7AIwHprXh4AX4l85py44X/x47jr29cxIREbUwDK6I6PZJmaPW/crK8kwFKHKWqTfQfow4fwgArOwAj07Gjxm+SAyapC585RXnlwsw+hjPXJ34Ckg8J7ZA9+oqbgvfBqRHit9XDK4yY6vuTlhxcd3aKl/aJ+iBjhOALpNrfrw0zvC/xM6I9l7i3K7bVT7YDRgqLjhMRERENcbgiohqRqcFfn4AWN5G/Hq/LbDvffG58m3Uy5e8AcD1vcCqvmVzpuT5UX0AG6eyhgm+vUyvS2VtB0wqzfAc+6JsDMvbAB93EAMMB28xwJCCq+zSta5ykoE974jbxrwNBM8Uvz/5tdgUQmklNokAADv30oBCADKum34frpbOybqdsjnpfbKyByZ+VLsgTTq2MEv8s1WfugV5FZUPrlgSSEREVGsMroioZk58JXb2K8oSvwozxeAq7pThAsAVO+Ed+UzMEG19GsiIFtt9A2XldP0eFf/sNrXq63cYDQTPEr+XxlCUBRTnits6TRADDAcfMWDSa8XSxEu/i+V3vr2A3g+VBQ3S+NzalS22a2wNqopijwEFGWIQ1mZQNW9aFdqPBqAAxr5dfcv4ijzaGz6+3WYWEvcgsUGHnbs4142IiIhqpUkEV6tXr0ZAQABsbGwQEhKCEydMt0kuKSnBW2+9haCgINjY2CA4OBjbt29vwNESNUNZcWXZn7HvAM+cLu2QJwB/LABSr4rPGWSurgEFmUD0AfFxXgrwy4Pi927tylqXd54ILEkABjxe/TimrAaeOytev/zXc2eBu1aK+yiVgHNr8fvMm2UL+facLj7nHiSu4ySp2P68fLMIY6SSwI4TTGfaaqLfPGBxLND/0dofa+MsBpGS251vVd6DvwEvXhKbchAREVGtNPrgauPGjVi4cCGWLVuGM2fOIDg4GOPGjUNKSorR/V977TWsXbsWq1atwuXLl/Hkk0/innvuwdmzZ43uT0Q18M8iMfvjPxAYuEDMnIx/X8zepIYDEACn1uIv5OXLAiN3ixkk29JAKqW0C1/FTIu1fc3K2pRKMTDzaG/45dbO8HipNDAxDIgp7UTYaWLZ8+XL3zwrzPOqKnMlCGXBWsVmHHWhcaz7seWDQlNNNepCZcX260RERHXU6IOrTz75BPPnz8e8efPQtWtXrFmzBnZ2dli3bp3R/X/88UcsWbIEEydORLt27fDUU09h4sSJWLFihclrFBUVITs72+CLiEpd+Ru4uk3sbjd5ZdlCtfYeYhZL0qr0F3zpl/7seOD8RvH7vnOBXrPL7VtPZWymSMHVyW/E+Vje3QG3wLLnywdGUjBV8XH54OrYl8D/t3fn4VGVZ//Av2f2zGQjCSQkBAKILLIHCAG3KkoFUbR1ryha+tZC1VJbtXWptoq1dWmty1t/bq1WqRaX1yotBhGRkEBYZN8CJIQkkEBIMpNkJjPn98dZ5sxkJpkkM8lM8v1cV66ZnDlz5jkh5Mw99/3cz4c/Bj5YLGXDDHHAyEsiM/ZQKeNMHgbYUnt3LBQRvDYREcWeqA6unE4nSkpKMGfOHHWbTqfDnDlzUFhYGPA5LS0tsFgsPtvi4uKwYcOGoK+zYsUKJCUlqV/Z2Z2c/0DUl5W8Id3mLwMGjfV9bPIt0lpOADBstnRrTQGsadL9g/+VbsdcKc0tsspBQHfmKoVCacd+ulR+fb8s0+Ap3n0GT/J9TA2uDgEeD1C1E1j9ALDjXWn+FiDN/wq1bXqkKNmqnPN7dxwUMbw2ERHFnm5MGIi8mpoauN1upKf71v6np6dj3759AZ8zd+5cPPvss7jwwgsxcuRIFBQUYNWqVXC73UFf58EHH8Ty5cvV7+vr63kRI1Io86lGX9H2MUEAbnwHOPAf34YUaecCZTXS/YTBUiCg0wF3/EcKeHoqc6XwD650OuAHq6S1sPwDxuRhUkOM1iag/rh34eLMKcB51wJ6E3DeNZEbe6gm3wyY44HhF/X2SChCeG0iIoo9UR1cdcWf/vQnLFmyBGPGjIEgCBg5ciQWL14ctIwQAMxmM8xmcw+OkihGOO3A2XLpvn/5nCIuGZh0g++2tFFAmWauk1JKmDaqbQOJSNAGV0nZQMbEtvso87X86Q1S04tT+6TSQKWBxfQlwJRbIjPertDpoyPIo4jhtYmIKPZEdVlgWloa9Ho9qqurfbZXV1cjIyMj4HMGDhyIjz76CHa7HceOHcO+ffsQHx+PESNG9MSQifoWZZFda6q3u18otIFYOBo/dJY2uBo9r/NrQCkB4MEvgOqdgKADzv1u+MZHREREfVJUB1cmkwm5ubkoKChQt3k8HhQUFCA/v/05GxaLBVlZWWhtbcW//vUvXH0112wh6jSlHXmwrFUwSgc+cyKQc0F4xxSKhAxAL3/i35XgTjnfrW9Jt0NnsWkEERERdSjqywKXL1+O2267DdOmTcOMGTPw/PPPw263Y/HixQCARYsWISsrCytWrAAAFBUVoaKiApMnT0ZFRQV+85vfwOPx4Je//GVvngZRbFI65nW2lG/Ed4DpP5QaVxhM4R9XR3R64IqngDPHuhbcKcGVyyHd9kb2jYiIiGJO1AdXN9xwA06dOoVHHnkEVVVVmDx5MlavXq02uSgrK4NO503ANTc346GHHkJpaSni4+Mxb948/P3vf0dycnIvnQFRDFODq05mrvQGYH7w5Q96xLQ7uv5c/2CSwRURERGFIOqDKwBYtmwZli1bFvCxdevW+Xx/0UUXYc+ePT0wKqIoJ4qdn2vkr6tlgbEuVRNcZUwABgzrvbEQERFRzIjqOVdE1EX7VwO/z/F2uusKj9vb0KInOvxFE0ui1EIekNboIiIiIgoBgyuivmjvJ0BzHXBgddePcbYcaG2W1nVK7oeZmwnfB+LTgUk39vZIiIiIKEbERFkgEXWSMleqvrIbx5BLAlPPkRpE9DeX/076IiIiIgoRM1dEfY0oeoOrhu4EV13sFEhERETUTzG4Iupr7KeA5rPS/WDBVeMp4JO7gep2mr90tVMgERERUT/F4Iqor1GCIgBw1AKtLW33+foZaYHcL59o5zj9tFMgERERURcxuCLqa7TBFdA2eyWK3i6CFVs7Pg7LAomIiIhCwuCKqK9RMk6Khirf76t2AmfL5MdOtH0cABynpfJCwHfNJyIiIiIKisEVUaQdKwRO7e94P48b2P+5NB+qO/wzV/UnfL/3X/sqUPZKWd8qMQswx3dvPERERET9BIMrokhqqAbenA/8bWHH+x5YDbx7I/Dv5d17TSW4UhbB9c9MKcGVJVm6rShpe4xDX0i3LAkkIiIiChmDK6JIqjkAiG6p/K6prv19lWzRsY3SvKiucDqAunLp/vCLpNsGTebqzFGgeicg6IBZy6RtJ/wyVzWHgA3PS/enLuraOIiIiIj6IS4iTBRJdWW+9+OSg+/beFK6ddRI+w4Y1vnXO30YgAjEDQAyxgPfwnch4X2fSbfDZgPnzAHW/k4qCxRFQBCk23//DHC3ACMvBc67tvNjICIiigDn8Qo0rFmDATfdCJ3F0tvDCZumnbvQ8N//tPvBqj41DSm3/gCCQXrrLra2ou7992G74EKYhmT11FCjnqepCafffhues9KSNPoBA5By660QTKYeGwODK6JI8g+uBk8Mvq+9xnv/xFZvcOVxe5tLCDrANlAKhALRrk0VqCxQKQkcMx8YdB6gNwPNdcDpUiB1JPDtSuDIesBgAeY/E/x1iIiIeljNSy/h7KpVgCgi9Y7FvT2csBBFERXLl8NVXt7hvoZBA5E0fz4AoO6Df6Hqscdhmz0bQ1/7f5EeZsw4++mnOPXMsz7bdImJGHDddT02BgZXRJHkH1y1x37Se79iK3DeNYDHA/z1YqDqW+9j4xYC170ZOPBR16YaBSRmSveVskDHaaBso3R/9DzAYAIyJgAVW4AT26Rs139+JT1+0f1AyvAQT5KIiCjy3PVSNsK+YUOfCa5cZWVSYGU0IuWWWwJe25t2foumLSWwf71BDa4aN3wNAHAUF8PT1ARdXFyPjjtaOQ+XAgAskyZCF2eFY9Mm2Dd8w+CKqM/oTHCl7RKodPA7sdUbWAl6af7Wno+Avf8HjLuq7TF8MlcZ0v36SqnU4PhmQPRIrdWVrFjWVCm4qigBSr+UFh0eOBaY9dNOnyoREVEkiS4XAMBRUgJPSwt0ZnMvj6j77BulDz2tkycj/YH7g+5TdsedsBcWQhRFwO2GY1MRAOln4ijZivjzZ/fYmKOZU84AJl19NSxjx+LYpk2wb9oE0e2GoNf3yBjY0IIokrqauarcLpUD7vtU+v68a4FHTwMX/kL6/vNfAs31bY8RqCywtQloPusN2LJyvftnTpVud/0L2Pa2dH/BnwC9scNTIyIi6lFycCW2tKBpa4BlRGKQfWMhAMA2Kz/oPnFTp0IwmdBaXQ1naSmad+2Cp7HRe4zCjREfZ6xQyitN2dmImzABuvh4eM6eRfOevT02BgZXRJHidgH1x73ftxdceTyaOVcC4GyUSvyUBhRjpDIAXPBzIGUE0FApNaPwP0aN3HEw7VzAGOdtt95Q6W25rg2ulPuN1dJt7mJgaF5nzpKIiKhHeJxO9b6S8YllotsNe5GUgbLNmhV0P53FAus06Xpt/2YjGuVz19ls0jY5QOvvRFGE87j0vsuUnQ3BYIA1T3pP05O/LwyuqP/Y9xnw3i3S3KOeUF8hleEp2guumk5LJX8AMGSadPvtSqBmP6AzAqMuk7YZ44D58kTN4r8C/3uRNCfrrxcDf71QylLpjECyXPanzLuqP+FtuZ411fu6qecA5kTpvm0QMOfRrp4tERFRRCllgYAUZMS65t274amvhy4hAZbzzmt3X2u+lNmyFxbCIQdTKfK8s5a9e9FaWxvZwcYAd20tRIcDEAQYM6X3Pzbl58bgiigCNv5ZKrM7vLZnXk8JphLkAKflbPC1rpRugHEDgGw5c1T0inQ7/ELAkuTdd+R3gEk3ARCl8sET26Svqp3S41m5gF6eTqmUBpYXS/OpdEYgfbz3WDodMOJi6f4Vv5den4iIKAppg6vmvXvReuZML46m+5Q3/LaZeWqL9WCUzJajqAiOHTsAAEkLFsA8Zox0rE2bIjjS2KDMtzIMzlBbrys/t6atW+FpauqRccREcPXiiy8iJycHFosFeXl5KC4ubnf/559/HqNHj0ZcXByys7Pxs5/9DM3NzT00WopaSktyp71nXk8JrgaNAaxpvtv8KWtc2QZ6M0suh3SrlARqLfgTcOtHwM3v+37d8gFw83ve/ZTgSmnBnn4eYPRbG2ThS8DSYmA817QiIqIopgRX8rqMjhgPKJRyPiUr1R7L2LHQJyfD43AALheMQ4bANHRor2RmopVLKQkckq1uMw3PgSEjQ2r8saWkR8YR9cHVypUrsXz5cjz66KPYunUrJk2ahLlz5+LkyZMB9//HP/6BBx54AI8++ij27t2L1157DStXrsSvfvWrHh45RR1lTpOrZz65UAOp5KHSl3abPyVzZRvkbTKhGD2v7f4Gs5TBOvdy369Rl/lmnxLl4KpayWpNbXsscwIwcHRo50RERNRLlDlXlgkTAMT2XCOPw4GmbdsAAPHtzLdSCDodrPkz1e+VjIxya98odxLsx5TMlXGoN7gSBMH7Myrsmd+XqG/F/uyzz2LJkiVYvFiqK33llVfw73//G6+//joeeOCBNvtv3LgRs2fPxs033wwAyMnJwU033YQiecIg9VOuJsDZIN939MxraoOr5rPSnKeOMlfxA4EBOUBcijQPK2uaN0DqigS/52qbWRAREcUQpSww/sIL0fztt2hY9yUML73Uo2MQ9AYkzp8H05AhbccnimhYvRqWceNgGjas3eM4SkogulwwZA6GsYN9Fbb8fDR8vlq6L3cXtE7LhWA0orWyEs6jR2Ee3n/XqHSVyZ0CNZkrQPq5nV21qseye1EdXDmdTpSUlODBBx9Ut+l0OsyZMweFQaLPWbNm4e2330ZxcTFmzJiB0tJSfPbZZ7j11luDvk5LSwtaWlrU7+vrA7S4ptjWqMl09njmapgUXGm3+VPasNsGSeUO2TOAA6uBsVd2bwz+wZV/VoyIohavTUS+lODKNmsWav/6V7hP1aDmzy/0+DgcRUUY+vprbbY3fvUVKn62HJbx4zH8g/fbPYbSkMM2axaEAAsHB2KbJa9lpderXfB0cXGImzoVjqIi2Ddu7NfBlfO4nLnK9g18bXLGr2XfPrTW1sKQmhrRcUR1cFVTUwO324309HSf7enp6di3b1/A59x8882oqanB+eefD1EU0draih//+MftlgWuWLECjz32WFjHTlHGrlmgt1cyV3W+2/wpCwjHD5RuL39CCrDy7ureGLRZL6ON5X9EMYTXJiI/Tim40icnIfOZP8L+9YYefXmxpQVnP/4Yjs2b4Wlqgi4uzudx+/r1AIDmXbvQWlMDQ1pa0GMpJWqhlAQqTEOykPXsMxBMJhgGeKcA2GbNkoKrwkKk3HJLZ06pT3GVy3Ouhg712W5IS0PSwoVqB8FIi+rgqivWrVuHJ598Ei+99BLy8vJw6NAh3HPPPfjtb3+Lhx9+OOBzHnzwQSxfvlz9vr6+HtnZ2QH3pRjV05krt0tqxQ54ywKB0OZcAUDaOdKaVt2lzVxlTgZ0PbM6ORF1H69NRL48cuZKMBqReNllSLzssh59fVEUYS8uRmtlJRxbShB/wfk+j2vbw9sLNyFpQeDqk9aaGrTs3w8AsM6cGXCfYBLntZ2HbZuVj1PPPQfHpiKIra0ddh7sizzNzWitltbsNAYo2cx8akWPjSWqG1qkpaVBr9ejWv5hKaqrq5GRkRHwOQ8//DBuvfVW/PCHP8SECRNwzTXX4Mknn8SKFSvg8XgCPsdsNiMxMdHni/oYew8HV8oaV3qzFDB12NBCmXM1KLzjsA0EBDmgypwS3mMTUUTx2kTkS9QEV71Bao7gXW9Ky1VRAeexY+r37TVPsBdKXQ7N48bCkJLS7XFZxo2DLikJnsZGNO/a1e3jxSJXhfSBti4+Hvrk5F4dS1QHVyaTCbm5uSgoKFC3eTweFBQUID9I20qHwwGdzve09HrpzWV/76LSrzVqywJ7oBW7WhKYLa0llSR/2hxsrStlfLaB4R2HTg8kyB9EsJkFERHFKFEU1VbsvRVcAYAtX+nO59scQQmmBLlU0L5xY9D3ner6ViG0YA+FoNfDJs/BauynLdnVToHZ2SHPYYuUqA6uAGD58uV49dVX8dZbb2Hv3r246667YLfb1e6BixYt8ml4sWDBArz88st47733cOTIEaxZswYPP/wwFixYoAZZ1A/5zLnqgcyVdr4VAJis3sDJP3slipqGFmEOrgBg+p3SwsTnXBr+YxMREfUEzQLCygKxvcG/OYJCaQs/4OabpO59VVVwHjna5vmiKKqBmK0T8606HJeyyHAMt6fvDnW+VRSUTkd9UeYNN9yAU6dO4ZFHHkFVVRUmT56M1atXq00uysrKfDJVDz30EARBwEMPPYSKigoMHDgQCxYswBNPPNFbp0DRoKfLAv2DK+W+/ZT02OCJ3u3NZwG3tHZH2MsCAWnuVjjmbxEREfUSj1MTXPVi5sqQmgrzmDFo2bdPmld15XyIHo8aMCVccgmad++BY9MmqXvfCN/ufc4jR9BaVQXBZII1N3wVJUq5omPHDnjsduhstrAdOxY4y6X3Xf6dAntDRDJXOTk5ePzxx1FWFmR+SSctW7YMx44dQ0tLC4qKipAnpz4BqYHFm2++qX5vMBjw6KOP4tChQ2hqakJZWRlefPFFJPdy/SX1ssYe7hYYLLjSPqZQsmqmBMDo23mIiIiIANHlVO/3ZnAFaBbuLZRK8Fr274f7zBnorFbETZzY7qK1SoYrLncqdBZL2MZkGjpUauTgcsGxZUvYjhsroilzFZHg6t5778WqVaswYsQIXHbZZXjvvfd81uogCpuKrcCrlwBH1re/X69lrjQLAyrB1boVwHMTgL9+B6iv9AZX8REoCSQiIuoDlGYW0Okg9PI0DzV42lgolfnJ85ysM2ZAMBrVuVSOIql7n5Y63yqMJYFtx9X/5l25lDWuhvR+cBWRssB7770X9957L7Zu3Yo333wTP/3pT/GTn/wEN998M+644w5MncqFTClMtr4FVJQA294Bhl8YfD+fVuw9kLk6K/0nR5ImPZ0tZ1xb6qWvs2XAtreBtFHSdlsESgKJiIj6AqWZRS/Ot1JYc6dK86oqK1Hz0ktoWPMFAG9pnmXcWOiTkuA+exan/vQnn/WuHEVF0r75kQiu8lH3z3+i4YuC0NZ0EgTYzr+gTemiovHrDXCWHpZ2NZmQeMUVPp347MXFaNm7V/rGYEDi5ZfDMLDtB8WiKKL+35/BXVsDQOrol3jlldCZzSGfW+PXX8NZWhr0cWeZ9L7LNLSPBleKqVOnYurUqXjmmWfw0ksv4f7778fLL7+MCRMm4O6778bixYt7vaMHxbiKrdKtEswE0ur0LuILRD5zJYpAQ5V0P1Hzx23MfOCnW6WxHCoAvnwC2PcpMOUH0uPMXBEREQXU223YtXRxcYiblgtH4SbUvPAXdbuSORL0elhn5aPh89WoffX/tXm+PjkZlnFjwz4ua14eoNPBVVGB6hVPhfQc04iVGPnZv9tsbyk9gvIlS3y2Ne/Zg8G//S0AwHXyJMruuBPQZOYcm4ow5IU/tzlWY0EBTtx3n882d0MDUm+/PaQxOsvKUL7kRx3uJxiNMA4e3OF+kRbR4MrlcuHDDz/EG2+8gTVr1mDmzJm48847cfz4cfzqV7/CF198gX/84x+RHAL1Za4moHq3dD/Y+lEA4Khp+7xIcpzWNKjwW48tdaR0mzQU+PJJoHI7kH6etC0SnQKJiIj6AI9Tuq5GQ3AFAOm/+AVO/+3vatmfZfx5MJ9zjvr4wJ/eDZ3VCrHF6ftEQUDi/HkQdOGfmWMYMACDf/e7kMsC61evhrO0FM7jx2HyW3jX/rU03cKYlQXTyBGwr/8ajV+thyiKEARBeo3WVhgGDoRl0kQ0flEgtZ93udr8GzV+JR3LPGYMdFYrmrZuhX39+pCDq5ZDhwAA+pSUdssp4y+8ICp+PyISXG3duhVvvPEG3n33Xeh0OixatAjPPfccxowZo+5zzTXXYPr06ZF4eeovqnYColu6X18BuF2APsB/KqUkUNBJC/tqywLdrcDmV4FRl3sDn+5qOCHdWtMAQ5DyhfiBwNCZQFkhsGuVtI1lgURERAFFU+YKkBbuzXxqRdDHzSOGI7MXOlUnX3sNkq+9JqR9XZWVaCopgX3jRpiuv97nMW9r+Zsx4JabcWBGHlpPnoSztBTmkSPhkJt1JC1ciIE/uxcHZ82Gu64OTTt3wuo3/Udp7DHoZ/fCOGQISudfCceWEniam0Nq6uGS17CyzpiBrD/+IaRz600RaWgxffp0HDx4EC+//DIqKirwxz/+0SewAoDhw4fjxhtvjMTLU3+hlAQCUtBUXxF4P6VhRGKWdOtplQIxADjwObD6AeDD/wnfuJSSwIQOUtNj5ku3rXImjWWBREREgUVZcNUXKI037H5rY4lOJ+ybN0v7zMqHzmJBXK4UMNm/2Sg38ShUHxd0Oljl9b/s3/hmzZxlZXAdPw4YjbBOmwbTiBEwDBoE0elE09atCIU6nyoK2qyHIiLBVWlpKVavXo3rrrsOxiD/CWw2G954441IvDz1FxUlvt8HKw1UMlfazn1K9koJhI5vljr3hUO9nLlK7CC4Gj3P93tmroiIiAISo6ihRV+hLjxcWAjR7Va3N+3YAdHhgD4lBebRo332tRcWwnnoEFpPnYJgNiNOzlIF61SodlKcNAk6mw2CIHS6q6EzijoBhiIiwdXJkydRJHdD0SoqKsKWfth7nyLkhPyJh0FeGypYcKW0YU8aIpUGAt55Vy0N3v32fxaecTXIQVpHmavUkcBAzYTWSCwgTERE1AdE25yrviBu4gTobDa4z55F89596naljM+Wn6/ODVMDseJiNK6X5lBZp01TO/7Fy483ffst3I2N3mMpGa7Z3rlSyn3/jFkw6hpWUdAJMBQRCa6WLl2K8vK23dsqKiqwdOnSSLwk9TW1hwGnPfjjTXVArTTBEaPmSLdBM1eadaSMVum+krlyev8AYF/bbjldEmpwBXhLAwE2tCAiIgoi2uZc9QWCwSB1GIRvFkkp7VNaywOAZexY6JOT4bHbcfrNt9o8bszKgnHYUMDthqO4GAAgut2wq63nvfvaZkolhM1796L1zJl2xyh6PFJZIQBjFCwQHIqIBFd79uwJuJbVlClTsGfPnki8JPUlJ/cBL0wF3r89+D4ntkm3ycOAzCnS/Y4yV7ZBgFHOcqmZK01wdWQ90Hy2y8NWKeWFHZUFAr7BFTNXREREATG4igxvuZ8UULkbGtC0c6f0mCYg0s6raj11yue5bY4lZ6Sa9+yB5+xZ6BISYBk/Xt3PMHAgzOeeC4giHJs2tTu+1pMnITqdgF4PY0ZGu/tGi4gEV2azGdXV1W22V1ZWwmCIaPd36guUwKny23b2kUsCs3K9c6mCBldK5ipAcKXNXHlcwME1XRuzltItMCGEBfwypwD5y4CL7gfMCd1/bSIior6Ic64iQsk+NZVshae5WVrk2OOBKSenzULE2mBLOx/L/3ElC6ZkwKx5MyD4vf/33zcYpVOgMTOzzTGiVURGefnll+PBBx/Exx9/jKSkJABAXV0dfvWrX+Gyyy6LxEtSX6IESfaTUqt0fYBfU6VTYNZUIHmo7/P8KWWBtgBlgS310m1cCtB0WlrUd8L3uzd+tVtgCJ+wCAIwt+dbtRIREcUSzrmKDNPw4TBkZKC1qgo1L76E5v3S3KtA60nZZs323p85s81aXTZ5EWNnaSlO//1t1K9eHfxYs2fh9FtvoXH91zjz/vs+j+nirEiYcyl0FgucynyrGCkJBCIUXP3xj3/EhRdeiGHDhmHKFKlka/v27UhPT8ff//73SLwk9SVKkCR6pAArMUAGSAmuMjXBVbC1rtSywIHBywInfB8o/quUuWptAQzmro291alp/R5C5oqIiIg6xLLAyFC6951dtQq1r76qbtfOp1KYhkjzqlzHygI+rk9KgmXCeDTv+BbVmjW+tBkvhXXaNAhGI1qrq1H18CNtHk9btgwDly2Fs1x6Txgr862ACAVXWVlZ+Pbbb/HOO+9gx44diIuLw+LFi3HTTTcFbc1OpKo75r1fX9k2SGmokkrvBB0weJKUjdKbAXeLFGANyPHu63EDjlrpfvyg4A0thl8I7P0/qRnFkfXAKDnDaq8BXv+udw0tkw247k0g5/zAY2+Us1Y6I2BN7crZExERkR8GV5GT9qMlEFta4GmSPng2ZmUh/uKLA+47+LHH0Lj+ayRedVXAx9N/+UucfutvEFtbAQBxkyfDPHx4m/10VisyfvMbNBQU+Gx319aiaccONH71FQYuW+rtFBgja1wBEQquAGkdqx/96EeROjz1ZdryvoYTAHJ9Hz9dKt0mDwPM8fL9bKl7YF2Zb3DlqJUyYBAAa1qAzJXcit2cAORcAOz8J1C10xtcHVkP1B70Hs/lAIr+N3hwpV1AWBA6cdJEREQUFOdcRYwpJwdZz/wxpH1tM2eq3f4CsebmwpqbG/RxreTvXYvk713rs81VfRKHLroIzbt2wV1X551zlT00pGNGg4jODNuzZw/KysrglOtkFVcFiXaJ4G71ZokAb7CipTaoSPduSx7qDa60lAWErSnS3C01uFLmXMmZK3MCkJTV9jWV++d+F5h2J/CP64BDBVJwphxLK9QFhImIiChknHPVPxjTB8F0zkg4Dx2GfVMRnHJw1e8zV6Wlpbjmmmuwc+dOCIIAURQBSHWdAODWrAJN5KOhEvC0er9XghUtJWCK16wLFayphRKI2eQ252pZoNItUM5cmRK83f0aNK+p3E8ZKWWzEjKlbaVfAaO/G3j8QGjNLIiIiCgkLAvsP2yzZsF56DAavvgC7tOnAcTWnKuItGK/5557MHz4cJw8eRJWqxW7d+/G+vXrMW3aNKxbty4SL0l9hX9wpAQrWv4BE+AbXIkisP4PwAd3AuuekrYrgZi2LFAUfcsClWxTveY16zXBkiB416Xa92ng8avBFZtZEBERhQuDq/5DaYDR8N//ApAaZegTYme5mohkrgoLC7F27VqkpaVBp9NBp9Ph/PPPx4oVK3D33Xdj27ZtkXhZ6gtCCa4aNd3/FNq1rrb/A1j7O9/npIyQbrUNLVxN8nwsSHO3Ega3fU2lLFBpqjFmPrD5VWD/51KzDJ3e93U6s4AwERERhYZzrvoN6/QZgMEgLR4MwDg0duZbARHKXLndbiTIEWZaWhpOnJBKq4YNG4b9+/d3+ngvvvgicnJyYLFYkJeXh+Li4qD7XnzxxRAEoc3X/Pnzu3Yy1LOU4Eptr95O5ipQWeCpfcB/H5LuT/4B8N2ngPnPApfIbT61mSvtAsJGmya4qgI8ctClLggsP5ZzPmBOAhw1QHmA30M1c8XgioiIKFyYueo/9PE2xE2apH4fS/OtgAgFV+PHj8eOHTsAAHl5eXj66afxzTff4PHHH8eIESM6dayVK1di+fLlePTRR7F161ZMmjQJc+fOxcmTJwPuv2rVKlRWVqpfu3btgl6vx3XXXdft86IeoARX2XInmkANLdTMVYCyQEettBhw+nhgwfPAzLuA6XcCNrkturahRYtmvpVOJzfIEADRLQVwoth2QWC9ETh3rnQ/UGkggysiIqKwY0OL/kW7jpZxSOzMtwIiFFw99NBD8Mif/D/++OM4cuQILrjgAnz22Wf485//3KljPfvss1iyZAkWL16McePG4ZVXXoHVasXrr78ecP+UlBRkZGSoX2vWrIHVamVw1ZNEETj6jbdpRGcoa1wNzZNuW84CTrvvPsqiwPGa4Mo2SFrrCgAgAFc+33YxYcC3oYU630pu5643eI/ZcAJoPuvtKqhda2vsldLtvn9L56oQRU1ZIOdcERFR7PM4HHBs26Y2J+stzFz1L7ZZs9T7pqEMrjB37lxce63Ut/6cc87Bvn37UFNTg5MnT+KSSy4J+ThOpxMlJSWYM2eOuk2n02HOnDkoLCwM6RivvfYabrzxRthstqD7tLS0oL6+3ueLumH3KuDNecC7N/kGH6FQMleDzpNK9YC2pYGNSkMLTVmgTgcMkOddTb8TyJ4e+PiBygJN8d7HtaWBShbKkuzbdn3kpVIgd+YIUKNZA6ulAXDJgSC7BRJRN/HaRNHg1F9exLGbbsbZjz7u3YEwuOpX4iZMgC5een8WS2tcAREIrlwuFwwGA3bt2uWzPSUlRW3FHqqamhq43W6kp6f7bE9PT0dVVYByMT/FxcXYtWsXfvjDH7a734oVK5CUlKR+ZcdQu8eoVLpOvv0S2Pl+6M/TrnE1YJi3KYS2wYTT7g1gtJkrALj0UWDaHdJtMNqGFtpOgQoluKo/EbzEzxwPZMkL5FVs8W5X9jcnAabgwTwRUSh4baJo0CRP82hYs6ZXxyGyoUW/IhgMGPz4Y0hZvBjW6dN6ezidEvbgymg0YujQoVGxltVrr72GCRMmYMaMGe3u9+CDD+Ls2bPqV7m8YBl1UYWmG+TqBwHH6dCep6xxpTMC8RmBu/cpzSwMFt+MEyCV6135HGBJDP4a2syVuoCw5jjagK69zn9ZU6Xbiq3ebVxAmIjCiNcmigYu+ffOUVSkBji9gXOu+p/EefOQfv8vIegiUmgXMREZ7a9//Wv86le/wunTIb6pDiItLQ16vR7V1dU+26urq5GR0X7Zld1ux3vvvYc777yzw9cxm81ITEz0+aIucjqAk3uk+0lDpa56X7STSdJSOwVmS2V+2iySolGzxlUnM6EAfDNX2gWEFepCwpWaToEB5k+pwVWJd5t/8wsiom7gtYl6m6e5Ga1yAzGP3Y6mnbs6eEbkcM4VxYqIBFd/+ctfsH79emRmZmL06NGYOnWqz1eoTCYTcnNzUVBQoG7zeDwoKChAfn5+O88E3n//fbS0tOAHP/hBl8+DuqDqW6nbXnwGcO1fpW1b/+ab4QnGvw17omb+k0JtZqGZb9UZATNX2uBKDozqK9sPljLl3+PqXUBri/wcuaSRCwgTEVEf4Dp+3Od7+8aNvTQSaNa5YnBF0S0iiwgvXLgwbMdavnw5brvtNkybNg0zZszA888/D7vdjsWLFwMAFi1ahKysLKxYscLnea+99hoWLlyI1NTUsI2FQqAEUVlTgWH5wJgrpZblh77wZnuC8Q+u1CySNnMVoA17Z/gEV37dAgHfskCDxXeb1oAcIC5FavtevUuag3XsG+mxQWO6NjYiIqIo4vQrRbVv3IiBy5b2ylhEp5K54pwrim4RCa4efTTEMrAQ3HDDDTh16hQeeeQRVFVVYfLkyVi9erXa5KKsrAw6v1rM/fv3Y8OGDfjvf/8btnFQiJQyOSWQGjZbCq66krnSZpEUgRYQ7gyfssBA3QI1ZYFKcBUoEyUIQOYU4HCBdG4pI4Ej66XHRnPBaiIiin2ucilzZRk3Ds179qBpxw64Gxuhj4/v4Jnh53HJc66YuaIoF5HgKtyWLVuGZcuWBXxs3bp1bbaNHj2619dj6LdOyEGUUjanBFkntkpt2dubJ6WscZUst1RX1orSlgVGJHMVoCyw6Uzbbf6ycqXg6sQ2IG6A1IwjbTSQdk7XxkZERBRFlMyVbVY+3A0NcJWXw1G8GQmXfKfHx8I5VxQrIjLnSqfTQa/XB/2iGFdXDqz6EXBiu+92x2ngdKl0P3OKdJsxERD0QGO1b2OKgMf1z1xpSvTkRanVOVe2MGSuWuQ1Y7TBVdwAb8ZKCbCCLQisbWqx71Pp/hhmrYiIqG9QOgUah2Sri7raQ1xnNPyDYXBFsSEimasPP/zQ53uXy4Vt27bhrbfewmOPPRaJl6SetPn/Ad+uBMo2AT/ZBJjkgOWE3II9ZQRgTZHum6zAoHFA9U4pCEnKCnxMUfS2XFeCmXh5fTOPC3DUSqWA9hr5sW42tAAAe608Rk15gyBIQd2ZI/L3+uCBnJKdO7VfCjgBaY4ZEVE/4XE44Dx2DOYxYzq1lmXz/gMwDs6APowdED12O1zV1TCPGKFuE0URzXv2wDxiBHRxce08O7iWgwdhGDQI+qSkcA01ZjiPy8FV9hDok5NRt3Jlm6YWosuF5n37YRk3FoLmA/SW0lLoBwyAYcCAsIxFnXPFda4oykUkc3X11Vf7fH3/+9/HE088gaeffhqffPJJJF6SelLNAem27hiw/g/e7f4lgQptaWAwrc2AW6qnRpz8h9hg8gY2SuDV3bJAgza4ko+lzVwBvosGx6cDuiDZ1oR0IHEIAFFa2DhhsDdjR0TUD1Q+8iiOXHMtmraGMK9W1rx3L45cfTUqfn5fWMdy4tcPoXTefDTt3Klus2/YgKPf+z6qnniiS8dsOXgQpVcvxPFlPw3XMGOG6PGoc65MQ4fCNjMPEAQ4Dx9Ga02Nul/tG2/i6HXXoe6f/1S3uaqrUbrgKpT/cEnYxqPOuWLmiqJcj67KNXPmTJ+26hSjlOAKADb+GajeLd3XdgrUCrTgrr/ms9KtoPNrMOG3kLDair2LwZXeAOjlT70a5fXTzH4Tc7XdATtaEDhLE0yNnietz0VE1E+0HDjgcxsKp9ze215YCHejPSzj8DQ3o3HtWgBA07bt6nYl0GretbtLx21Y+yXg8cBZcbzjnfuY1lM1EFtaAL0exowM6JOTYRgofeDpqvTOhVb+7Zs1vwPO0lLA7Ubz3r1hW3iYc64oVvTYO8Gmpib8+c9/RlZWkLIwCqx0HVD0v9LXljd8Gy30BrcLOHNUuj9khtTE4aOfSOMrL5K2+2eulO9PbPfOnfKnBFeWJN+mF9qFhFtbvPt1dc4V4C0NVI5laidzldBBcKU9V863IqJ+prVWKq9urakN+TmiU65SaG2Fo7g4LONwlJSox9W2D3eVSfdd5eVdanSllMCJTc1hGGVscSklgYMHqwGNPk1a3qa11pu5Uu67Nb8D6u+DxwNXpabjb3c4GVxRbIjInKsBAwb41F6LooiGhgZYrVa8/fbbkXjJvulsBfC3hQA0F4QTW4GrXuitEQGnj0gBldEGXPcG8GIeULld+gIAnQEYPNH3OYPGSuV4LWeB04eBtFFtj6sNrrSU+VenS71t2HUGb+lgVxit3tcD2i8L7Ci4GjJdPkYSkHNB18dERBRjRLcb7jPSB37aN9sdPq/Fqd63FxaGpfOcQ9NkwaUJrpQ5Qx67He4zZ2BISQn5mJ6mJrXc0dPc/4IrJUg1Zg9RtxlS09ACwF3rDaSUoKpVs037++AsK4dp6NBuj0fNXHHOFUW5iARXzz33nE9wpdPpMHDgQOTl5WFAmCY29gv1FQBEqUxuaD5waA2w91Ng/nNSeVtvUEoC00YBSUOA694EdrwLiHJGatTlgMnm+xy9UQq4youk0sDOBFfDZgMlbwAH/wucd420zTaw/ZbuHTH6TWruTllgzvnApY8A6ROkOWJERP2E+8wZtRpB+2a7I6KzRb3v3xyhqxo1x1ECKsC7TpN0v7xTwZVjS4n6hl5saoIoip1q2hHrlKyfKdsbGBlS5cyVNkulZC81AZX298F13Hch4q7ysCyQYkRE3qHffvvtkThs/6MEHKkjgZveA/44Cmg6DZRvkt7U9wY1uDpXuh11mfTVkcypUnB1Yisw6Ya2jwcLrkZdJmWqTu2TuhMC3SsJBLzt2BUmv+BKu2hwoAWEtQQBuODn3RsPEVEM8slUdKUsEIDz8GG4qqthTE/v+jjOnEHLnr3q967y4xA9HohOJ1qrq72vVX4ccZMmhXxc/5bjYksLBIuly+OMNdpOgQqDX1mg2NqqZi8DlgXCt0yzq0RRZCt2ihkRmXP1xhtv4P3332+z/f3338dbb70ViZfsm7QBh94AjL5C+n7fv3tuDKIozbNS1ByUbpXgKlRZudJteZHUtrzerwa7uU669Q+u4pK95XYlb0q3XW1moWiTufIvC8wIfJ+IiFTajnGtp0MPrjwtLT7f2zd2b90kpSTQNHIkoNdDbGlB66kauCoqfPZzlZd16rhtWo73s9JAtVNgdra6TZ8iBVfu2tPSbV2d9D4BUumlUj6p/X1QMmDdG4z3fQiDK4p2EQmuVqxYgbS0tDbbBw0ahCeffDISL9k3+QccSsOEfZ+qf8wi7oPFwDNjvAsAa8sCO0Ntx74NeH488OwY4L8PeR8PlrkCvOdds1+67WobdoU2uDJa27Za186zCraAMBFRP+c+fdp7v4uZKwCwF3avNFDJMMVfcAGMg6W/367j5W0yJs7y0Dv+tdbWomXfPukbuRSwv8278s658gZX3sxV23lWgLccUPv7oHSH7A6RwRXFkIgEV2VlZRg+fHib7cOGDUNZWec+OerX/AOOEd+RGkPUlQHVuyL/+h43sP9zwFED7P5QCui6mrlKGQGMmgsYLIBO/sN49Bvv4+q5Jrd97uh5vt93dQFhhbYs0L8kEACMFmDC9dJ8r5SR3XstIqI+Slv6pc1adERpaGEePRqAFBx1pZMfIJWL2b+RgjPbrHy1hM1ZXu6db2WQZkC4OlGeZi+UytDNY8ZAFy9dJzxNTV0aYyzyOBxwy5lJn8xVqpK5kh7TZi+BwEFXVzs1avkEV2xoQVEuIsHVoEGD8O2337bZvmPHDqTK/zEpBP4Bh8kKnHOpdL8nSgPPlkuL+yqv13hS6vgn6KRgqTMEAbjln8BD1cDiz6RtDs0nXu1lrpKyfFuehzNz5V8SqPjeq9I4e6txCBFRlHP7dQgMdd6VKJcF2mbmQYiLg/tUDVoOHOzSGFzHjsF14gQEoxHWadPU5guusnI45TLAuMnSPKtgGRRXZWWbwFApCbTl50Mnz7PqqCxQFEW0lJa2WdfJVX0S9uJi2IuL4di6LWzrPoXK09QEx5Yt6hhaz3S8pIvys9IlJUGfmKhuN8hVScq/tX8jk9aaWoii6LPd09golQ/6cVWfDLg94Dko2U6dDoJe3/7ORL0sIsHVTTfdhLvvvhtffvkl3G433G431q5di3vuuQc33nhjJF6ybwoUcGhLAyOtRnOxKysEyuTSjeRhUnanq6xygO3wlpS0G1wBvmtIdXvOlSZz5d8pkIiIQuIfTPkHW8GILumNss4WD+u0aQC63jVQKQmMmzIFOqvVm7k67s1c2WbNksZbVeV9ky5r2rkLhy67HFWPPuqz3VFUpD5XiJM+kPN0sNZV/b8/Q+m8+Tj14ovqNndDA0oXLEDZottQtug2HLv5ZlT//ukunWtXVSz/OY794FZ1DEe+9z2Ibne7z3EePQoAMA0Z4rNd6RborquD2Nra5negtbYGnvp6NYDUJycDaJs19NjtKL3iChy57nqIwda/1GIzC4ohEQmufvvb3yIvLw+XXnop4uLiEBcXh8svvxyXXHIJ51x1RqCA49zvSpmjqp3AmWOBn7f3/4B/3ADYNRe6pjPA298DXj5f+npjPlB7uP3Xr/Gutg7RA2yU19fqbEmgP6vcCtfZIC0MDIQQXF3pvW9rO5+vU7SZK/8FhImIKCT+8238vw9GaWghmM2w5ecD6Pq8KzXDNEs6jlLC5io/rrYAj5swETqrFRBFuI77Nrlo+M9qoLUV9uLN3vE1N6vNMCzjz/NmrlraD65aDh6Uj/lfdZujqAie+noIcXEwZEgNkpr37Q34/Ejw2O1o3LABAGAaPhwwGtF6ohLNu3e3+zzHli0AAMt55/ls1w8YAOh0gCii9fTpNuubuWtr1d8DXXw8TOdIpfX+899clZXwOBxwlZejeW/HPw+RwRXFkIgEVyaTCStXrsT+/fvxzjvvYNWqVTh8+DBef/11mFgrG7pAAYc1BcicIt0/sa3tc+rKgVX/AxxY7ZvdOlQAHPoCqN4pfR3bAHy7sv3XV4IrJQCpKJFuB3YzuDInAYKc1leyVx0FVwNHSx0HDXHAwLHde/1QygKJiKhd6htr+Q2v//ybYESn/EbZbIJttpRVcmze0qbRRYfHcbth3+TNMAHe5gvOsjK1gYVpaLa63X/NJaVToTar5VJK4uLjoU9OhhAnBVcdZa7c9dJ1zHnkCFyVlfLxpeAv+ZprkPn730v7daL5R3c5SkoAlwvGrCyM+OzfSLj4Inlc7Xdo9Aats3y2C3q9FGBBamiidA1UfwdqT6slgYbUVJiGeINdLXd9vXeMhR13i+QCwhRLIhJcKUaNGoXrrrsOV155JYYNGxbJl+qbggUcSgc7+ynf7aIIfPYLwGWXvm/S1FUrQcyw2cD0H0r3tZmpQJSywOl3+G7vbuZKp/Nmr5R5Vx0FV4IA/GAV8NOSjhf27QjLAomIuk0JEswjpeyEtntge5Q5V4LJBPOoUdCnpkJsaoJj+/ZOvX7zrl3wNDRAl5ioZliUzJW7tlaaI6XTwZiZCdNQJejyBletZ854syaiqGartF3yBEGAzqzMuWq/oYXn7Fn1vhK8KLe2WfltOu31BG2zD0EQYFUyhe2UYbqqT8J56DAgCLDmzWjzuLIQc2uNN0ul/g7U1qjb9GlpMCo/d782+O467c+q46ylEvgyc0WxICLB1fe+9z38Xv6ERuvpp5/GddddF4mX7JuCBRxKQ4fGk77b930KHPjc+702uFLauqeeA4y6XLpf08EEYiX4GrdQmmel6G5wBWjmXYUYXAHSmldJWd1/bZ+yQAZXRESdJcplYQBgPldamqOzDS10ZjMEnU5TGti59a6U/W15eWqTA31iInRJ3uuIcfBgCEYjjGoGxRtcOTZt8lnWRHlMXd9Jnm8UcubqrDcbYy8shOvECWnukk4Ha16eOl/J09DQZq2vSFF/RnIGKl6+bdq2DR6HI8hzpGDHct55MMhZKi19mrdjoJK91P4OKL8HhtRUnzJNLSXLBwCOLSUdd5pkWSDFkIgEV+vXr8e8efPabL/iiiuwfv36SLxk3xQs4FAaOtg1wVVzPfDZL6X7SuCiDa6U+3EDvGtU1R6S2q0rdv0LOCmv6+E47c2MpZ3rO+cp3MGVKIYWXIWLT+aKZYFERJ3lOXsWaG0FAJhHyW+sO9nQQinxsoWQTQlEm5XR0jZhUMoBvY0uvG/y/V9PyVg55dJBJeuis8gNLTrIXGlL3eyFhWj8RlpuJG7CBOgTEqSgTw4O/LvsRULrqVNoOXBAykDNnAkAMA4bBkPmYIgul1QyGIBSpqf8u/gzpHo7BirZS8u50vuC1tpa9ffAkJYK4xBvgxEtj+ZnJTqdaNq6td1z4ZwriiURCa4aGxsDzq0yGo2o1/yHona0F3DY5HWeGjVlgXs+BhpOAANygNn3StuCBVfJwwC9SWqzflb+g3f0G+CDO4D3bvJdzyoxSyqdGysHV/EZ3pK+7tCWBbY2A25n4HONBM65IiLqFrVpQUICjIOlUvVQ5xJ5WpTgygwA6ryr5p27fAKUdo/hcKhlhP7zgpSgCPCWCaot2uUASrs+lkkuaVOyKy65dFB5rrcVe/vZJm02xl1bizN/+7vP+QmC4C2pqw2thLI77JuktbosY8eqGShBENSfV6B5V6IoeksZZ89q8zjg7RjYWlPjzV7Ka5a5a2rU3wO9JnPVWunbqVGb5QM6zlpyzhXFkogEVxMmTMDKlW2bJbz33nsYN25cp4/34osvIicnBxaLBXl5eSguLm53/7q6OixduhSDBw+G2WzGueeei88++6zTr9ur2gs4AmWu6uR65pGXeudkNdV5H9cGVzq9VB4IeIMopc366VKgere3JFDJcg2bBSx8GbjujW6dlkrbjl0JIgVdz5TpdbSIMBERtUtb+tXZuURK4wrBLL1RNmZkwDRiBODxwC63QO+IY8sWtVGDcehQn8eUJgqAN3Nl0mSuRFGEq6wMrhMnAKMRydcslB/zy1zJx1HLAjuccyUFDMZM6RqsdA/UBn9qYBJilq871MyeX5AUrwZXbTOFzkOH0HrqFASLBXFTpgQ8rlIW6Cwt9WYv5cyV++xZuKqrAEgZLn1qKgSlU2OFt1OjEkQrPytlrMFwzhXFkoiskPrwww/j2muvxeHDh3HJJZcAAAoKCvCPf/wDH3zwQaeOtXLlSixfvhyvvPIK8vLy8Pzzz2Pu3LnYv38/Bg1qu96R0+nEZZddhkGDBuGDDz5AVlYWjh07hmR5rYWY0V7Aocy50ja0aDgh3SYMluYmAX7BlXxfeSxtFHByjxREjboMqNB0Htz3b8DZKO+nKQGcfHPXziUQbVmgNkMnCOF7jWCYuSIi6hZlTSt9WqomYOjknCtNFsKWnw9naSnsGzci8bLLOjyGf6MGLaUEEPAGVcbMTECng+hwwF1bqwYW1smT1cDAVVYuBV6aLoMANA0tgs8LEkUR7oYGAEDCd7+L06+/DgAQrFbETZyo7uedrxTZskApA+VdCFlLKRFs2b8frTU16sLAgDfgsubmQmc2Bzy2UhbYfFD6EFaXmAjDwIGAXg+43Wg5dAgAoE9NgSAIMA0ZgpYDB+A6fhzm4cMBAB45y5cwdy5Ov/EGmvfuReuZMwHneAEsC6TYEpHM1YIFC/DRRx/h0KFD+MlPfoKf//znqKiowNq1a3HOOed06ljPPvsslixZgsWLF2PcuHF45ZVXYLVa8br8h8vf66+/jtOnT+Ojjz7C7NmzkZOTg4suugiTJk0Kx6n1nPYCDmWdJ21ZYL3U9hWJgwGL/McpWFkg4A2alAzVCU29875PvRmtcMyvCiRYcNUTfIIrZq6IqO/zOBxo3rcvpDWFQuHNXKVBL78595w9G1I7dVGzzpVCbcneTotwj9OJpt270bRrt7p2k39JIACYNJkso1wOKJhMMMrrTDV+vQENBWvV11UyVM7jx9F68pQ0Pp0OxsFSZ9pQGlp47HZAXpg38Yrves9r+nSfUjZDilJSF77gytPSAnddnc82Z2kpWk+ehGA2Iy431+cxQ0oKzOOkJU3OfvQRmnbtVr8a1n4pjTvAz1V9vpKpPCG97zCkpkLQ6aBPGeC3Xfq90LbHVyhlgeaRI6TgVhSlBiPBMLiiGBKRzBUAzJ8/H/PnzwcA1NfX491338V9992HkpISuDtYGVzhdDpRUlKCBx98UN2m0+kwZ84cFAapz/3kk0+Qn5+PpUuX4uOPP8bAgQNx88034/7774de7ibkr6WlBS2azj1RMS+svYBDKQt02QGnHTDZgAYpDe+buQoluDoI1J8AGiqlLBkAVH3rLTNUygLDrVeDK21ZIDNXRBSdwnltsm/ciOPLfgrLpIkYHqBsv7NaNWsZ6ZOS1KxF65kzMKant/tcj9rQwhtcWadPB/R6OI8dg6uiAsastp1hjy9dBvvXX3s3aBo1aBk1ZYGmId7jGLOz4TpxApWa9xS2/HwYh2QBggDR4UDTju3SvnKXQSC0hhZKG3bBZIJl/HjoB6bBfaqmTbMNbwll+MoCjy9dhqatWzH8k0/U81Uye9bcqQEzULb8fLTs2YuTf3wm4DH9x62llwNEhZK5NKRK56xul881UMdAt/zz0iUmSmM5cEDKWl5xRcDX5JwriiURXedq/fr1uO2225CZmYlnnnkGl1xyCTa198mEn5qaGrjdbqT7/aFOT09HVVVVwOeUlpbigw8+gNvtxmeffYaHH34YzzzzDH73u98FfZ0VK1YgKSlJ/crOzg66b49pL+AwxUuL6QLeduw+ZYFyAOWyA61OqUFFm+BKDppqDgAVctZq4FhgqPwHVWnd3uczVwyuiCg6hfPapJffAIdrAVv3aWUtIylr4V37qOOgQVQbWnjfKOsTEtTyuUDNDdz19bDL3fcMGRkwDB6MlEWLApaRGbMykTh/PpKvvx56zZSAATfeAOPQoTAMHgzD4MFIuPxyWMaPh85kgkHOaillcdqmGLq4jhtaqMFCUiIEQcDAn/4U1vyZSLzqKp/99HI2J1z/Dq21tbBv2ACPw4HGtWvV7crP0Bqk41/y978P8+jR6s9C+5U4b57aoCIQJWhSKJlLJchS91OCLvk9XOtJ7zxxZc6VPjFJzVrav9kIUdMaX4tzriiWhD1zVVVVhTfffBOvvfYa6uvrcf3116OlpQUfffRRl5pZdJbH48GgQYPw17/+FXq9Hrm5uaioqMAf/vAHPProowGf8+CDD2L58uXq9/X19b0fYLUXcAgCED9Qyi7ZTwEJGd7gKXEwYE4EIAAQpSDJaAU80qc+anCVKgdX9lPAYfkPctZUYNA44Jh0AYMpXgrWIkHtFnjaG8j1RuaKZYFEFKXCeW1S5tW01tZCFMU285Q6Sy0LlLMY+rQ0tJ46FdJcIqV0UGf2zULY8vPRtG0b7Bs3Ivn73/d5zF5UBHg8MI0YgZGf/bvd4wuCgKxn/thme+IVVwTNjJiGDEFrZaUalGibYgjmjhtaaIMFABhw/fUYcP31bfYL90LC9kLvB9b2jRuRsuhWqc263PgrWHmfefhwjPj4oy69phJI+3+vT/VuF+LioLPZpMeVc9YsMq10VtQnJcI0bBhgNMJ14gRcZWXS934454piSVgzVwsWLMDo0aPx7bff4vnnn8eJEyfwwgsvdPl4aWlp0Ov1qK6u9tleXV2NDPlTJn+DBw/Gueee61MCOHbsWFRVVcEZpBbcbDYjMTHR56vXdRRwaBcSVkoCDRbAkix1A1Se13TGeyyd0RtYmOOlNusAsHuVdJs1FRijWZ8sbVTkGkxES+aK3QKJKEqF89qkvAEWm5vhsQdePLYz1LJA+Y2zN3MVQnClzLnyK/FSMxiFmyB6PD6PdbT2Uncp84Jcx8p8vgc0mat25lwpc4j0HfwbKdkcJfPXXcqCvwDgKC6G6HKhaedOeOx26JOTYRk7NiyvoyWYTD4LNStNOpQ5VtL91Db33ZpSSI/m56WzWmGdPFk+nyBz7hhcUQwJa3D1+eef484778Rjjz2G+fPnB53jFCqTyYTc3FwUFBSo2zweDwoKCpAf5A/s7NmzcejQIXg0f5gPHDiAwYMHB1x7K2p1FHBo27E3yM0sEgZ7gyHtvCttSaA2WFJKA5XHM6dK62SlT5Afj1BJIOANrlqbvMGhJTlyr6fFRYSJqJ/R2WwQ4qQPlsLxxt4tl/8p5YahziUSRVHTit13LlDcxInQWa1wnzmDln37fB4L1lY8XExDfTOCJk3HQUGdc9VOcKVkYjoIrvSaBXi7S7smFSA1LWnascM73yp/JgRdZGZ/+AZPcllgWtuACmh7zp7mZm/2Ug7SlDlewVqyM3NFsSSs/+s2bNiAhoYG5ObmIi8vD3/5y19QE0L9dXuWL1+OV199FW+99Rb27t2Lu+66C3a7HYsXLwYALFq0yKfhxV133YXTp0/jnnvuwYEDB/Dvf/8bTz75JJYuXdqtcfQ4NbhKDvy4diHhenm+lbK+FeAt/2uqazvfSqENnvRmIP086f6026Xbc+Z0YeAhMsVLCxkD0tpaQM9lrsyJQFI2kDy0516TiKiXeRd/7d4be1EUNZkr6Y2zOpeog8VxlTfJQNvgSjAaYZ0xA4DvGkyuigo4jx0D9Hqp8UUEaJtgAN4ug4A2c9VOQwu5LFCX1EHmSmnFXlcHUV4jqqucR46itbISgtGIeHnZG/vGQjX7017Hv+7yCa7kc9JrAypNe3f/c1YXENbr1dJBdWHjoiKIAZqesaEFxZKwBlczZ87Eq6++isrKSvzP//wP3nvvPWRmZsLj8WDNmjVokNeA6IwbbrgBf/zjH/HII49g8uTJ2L59O1avXq02uSgrK0NlZaW6f3Z2Nv7zn/9g8+bNmDhxIu6++27cc889eOCBB8J2nj2io8yVElzZT2k6BWpKJdXg6kxowdXgiYBe/kRo2p3ALw4DE67r+vg7Igje7FVPB1d6A/CTQuCuQqmEkoioHwjXArYeu10t7fN2igttLpGo6X4Y6I2y+iZbk5FRgoW4iROhT4hMtYE2U+X/vWCR51y1tNfQQi5zS0pu93X0ycmATgeIos8cpK5QSgLjpk5FwiXfAQA0fPEFmnbsAOBdLDgS9AGyVMHKAv3P2aPJ8ilz/yzjx0OXkABPfT2ad+9u83psaEGxJCKt2G02G+644w7ccccd2L9/P1577TU89dRTeOCBB3DZZZfhk08+6dTxli1bhmXLlgV8bN26dW225efnd6orYVTqTFmgQf70T9t8QhtcueW5ZkqpoELbZj1zqve+IHjX0ooka6pU0njmmPR9T2aRWA5IRP2Mkk3o7gK2SkmgYLVCZ5XKrNXsREdlgdrgKsAbZaU8zFFSAk9LC3Rmc9DFcMPJZ45VYqLUXl753tJx5irUskBBr4d+wAC4a2vhrq2FcdCgLo9ZCUBts2apQWnLAWntSuOwoQHb2YeLNpBSuwWmaUsBNc0t9HroU1LgrqmBu7ZWWhMMvj8rQa+HbWYeGtZ8AfvGjT4LLwPgnCuKKRFtxQ4Ao0ePxtNPP43jx4/j3XffjfTL9b7WFuDzB4CPlkr3Q1VfCax7ypuFCjVzFawsUCknDDVzleW7yGCPUDoGinIJAEv0iIgiJlxlgUrGRds1LtS5ROp8K5MpYMdC08iRMAwaBLGlBU1bt0L0eNSOeJGabwUA+gED1BI1k19HRjVz1d6cq7Pe7ncdCce/g9jaCkdREQApIDVmZvp02YtkSSAAGDTBk9otMKXtPCz/fVpratXOitqmGEDgrKWCc64olkQ8uFLo9XosXLiw01mrmKMzAEUvA9vfBlo6UQZZ9AqwbgVQ+KL0facaWrRTFthcFzy4ShgsdR0UdED2jNDHGi7WVN/vGVwREUVMoKYTotsNd6O9U8dR1rIKNO+mo7JApbTOf76VQhAENUNV/9//ovGrr+A+cwY6q7VtNiOMBEFQs1dGv+BKF9dxQwul+50uhI6O7TX/aD1zBi2lR9BSegQuzbpQ/pp27oSnsRG6pCRY5GVutMFnJLN8gHd+lU/2MsX7HsN/LSztOQfrrKiM2bFtGzwO346WnHNFsaTHgqt+Q6cHTHLJmRIgheKsvHL5yb2+z+2wFfspzQLCgRpatJO5EgTgln8Ct3wApAwPfazhwuCKiKjHKJkFbdOJ8h/9Dw5ddBFaz5wJ+Titp05Jx0trO8fGfeZMwIYECtEpv0kOElwB3iCh7t33cPyunwAArDNmRDxrocyz8p9/pS0LDLbIrf86V+3xNv/wDUSbDxzAwQsuROm8eSidNw+HLrwIDV98EfAYDnnqgy0vD4LcmVldMFing23mzA7H0R2GAAsHC0ajumiz/4LC2oYnniAllMZhw2DMzARcLji2bPF5jHOuKJYwuIoEZT5PS33oz7HLn1DVSPXSHWeu5LLAlrPA2QrpfmKQOVfBgisAyJwCnHNp6OMMJwZXREQ9xj+7JLrdsBcXw2O3w3nkaMjHadouNUwwjxypbtOnpEhvfD0etFZVBX2u6FTWuAr+Jjn+O9+RGhwkJUGXlARDejoG3HJzyOPrqqSFC2EaORIJl8/12a60sIco+nQ71FKDq86UBfp1VmwqKQFaWwGjUX3N+s8+C3iMlkOHAQBxk7zZvPjzz4dt9myk3H57h3O/uss6bRos48a1Wew5+YYbEDdpEizjx/ts1zY8UTJX/p0VBUHwrnXmXxrIskCKIRFpaNHvWRKlbFJnygIbpU8CUVcGuJo6Dq4sydKiwB6X9AUA8YG6BdZ5G1r01DpSoWJwRUTUY9TsklzW11pVpb5p9dgbQzqGKIoBW30Lej2MWVlwHj0KZ/nxoM0UlIYWOlPwzJU+IQHDP3g/pPGEU8KllyLh0rYfNuo0WTaxqQkIUJrmORtaQwsgePMPZ1k5ACDl5puRcNkcHPvBreqCyv7rVTnLpX19FzuOw9DX/l+Hrx8O+sREDF/1rzbbB/3s3oD7a89ZTEiUj9H2mm/Lz0fd+x/4tOIHOOeKYgszV5GgZK6aO5O5koMriED1bk1AFCTgEARvUwsAiEsBjBbN98nSbUeZq96kDa4EnbT2FRERRYTadELOXDnLj6uPKR3cOtJy4CDcNTUQLBbETZ3i85jyRt91vDzo84MtIBzNBKMRMEifRQeadyV6PHDLS83oOlEW6N/QQvm5GbOzETdpUtAFlQHAJQdX/s03opX2nNvrrKiUNrYcOKCWnwKcc0WxhcFVJJjlPxihZq7crYBD80f2+GbptqOAI14TXGk7BQJ+ZYF1vtuihdXbbQiWJClgJCKiiFCyB57GRnhaWnyCIE9jaJkrJaNgnTYNOr83uspcJW3Q5k9taBFjb5Lba8fusdsBjwdAiGWBQZp/KD83U/YQaUFlecFkJVOocDc2wi3PkTMO8Z0fFq2U7oJSWaAcXCW3DUQNAwbAPG4sAMCuWVKHc64oljC4ioTOzrly1ALQTJJVgquOAg6bZn0MbadAwLdboEOu6/Zf56q3aTNXLAkkIoooXUKC+ubUXVOjlqEB0hv2UCgL1wZq9W3MHgoAcJWXBX2+t6FFbAVXQlzwduxKsCCYzWoQ1p5AizmLoqhmo5Sfozr/6BvfEjnXcSkI0ycnR2xR5XDTa865o86K8YFasquZKwZXFP0YXEWCRclchRhc2f3arWqDq/bEa4Orwb6PKfOrRA/gkss9oi5zxeCKiKinCIKgdvhrra31zVyFUBbocTrh2Cx1cQu05lQomSuloYV/1iva6SxyO/YAmSt3J+ZbAd5Aw336DEQ54+U+c0b6NxAEGLOkShQlgFUWVFY4y6Tg1Th0aFdOpVco3QXdp8/AXVcHIHhnRaU00L5xo9qdUQ3KmbmiGMDgKhKUssBQ51w1+gVXdfKnfh0FHNo5V/7BldECGOJ8t0VbABPnVxZIREQRpe3a5jPnKoS1rpq2bYfY1AR9airMo0a1eVydc1XezpwrtSwwduZcAYDOIo1X1AQ5Ck994O53waiLL7vdaqCh/MwM6elqAw3/BZUVLqV8MEZKAgHfc3ZVSB2Og5VQWnNzIZhMaK2uhrO0FADnXFFsYXAVCZ2dc6U0s0j0+0PZmcxV4uC2j2szVZYkaQ2uaGKyAkZp8UEGV0REkaeX5764a2vhKvOW74Uy50otCczPb9O9DgCMWdI1zF1XpzZ48OeJwYYWACC0m7kKfY0rQF4PKkna1+3XXETboEK7oLK2RM55vG2nwGinPWclUAqW6dNZLIjLnQrAe94eF+dcUexgcBUJnS4LlIOr7OlSe3X1OJ3JXGW2fVwbXEVbSaBCKQ1kcEVEFHEGuWub8+hRtZwNCK0sUHmjq7zh96ePt6klb8GyV2KL/CY5xjIQakOLQHOu2ul+F4y2PBPwzlPzD5hss7wlcgqXPFfONDR2givAd9FpoP3OijZ13pV83mzFTjGEwVUkqA0tQsxcKWWBCZlAygjv9k4FVxltH4+J4EouFYi2NbiIiPogpSzQsX27z3Z3B+tcuRsa0LxrF4DA860USqlasHlX3lbssRVcqQ0tmtoGV55OLCCsUMsz5Xbj2k6BWsr8o+Y9e9AqdwhUM1dDYiu4UksDAUCvh85mDbqvLV+eb1ZcDLG1lXOuKKYwuIqEzs65UjJX8QOBNE0de0cBh09ZYKDMleb50Rq8MHNFRNRjlDbgzbt2+2zvaM5V68mTgMcDXVISjBkBPsyTdbTWVSiLCEcjnVnpFhi8LDCUNa4UppHSB6lNO74F4M30+QdMxkGDYB51DiCKcBQVQXS74ao4IR0jO3bmXAGAPs3bxEqfmAihnW7IlrFjIBiN8NjtcFVVcRFhiikMriKhs63YlcyVbRCQdq53e0cBR9IQQG+WslLWtLaPa4OraM1cKZm6pNj6BI6IKBYpi7kq5W36AdK1oaM5V8rj+vj2F3tXStW0bd61lG6BsVYWqGSuxOa2DS3cauYq9ODKlu9b7ueU26sHKvWzaVqTt1ZVAa2tEIxGGNLTO3EGvU8pSQU6/lkJer26hpervNw75yrGfm+of2JwFQmWzja0UIKrgZ0LrixJwO2fArd9CgSYXBwTZYHf+TVwwzvA+O/19kiIiPo8gyZ7AEgZAqDjOVfKOlg6m63d/ZTMS7A5V7Ha0EJtxR4wc9X5OVe2vDxAp4OztBTOsjIpaELgJhXa1uROJcOVlQVBH2VNqjqg/d0LpbOiUW3tXw6wLJBiCIOrSOh0K3ZtWWAngisAyJ4BZIwP/FgsBFfWFGDslYCBn0YREUWaMtdHYR4zFkAImSs5+NJ1lLlS3hAfDzLnSm1oEVtvknVK5irgnCs5uOrEnCt9UhIs46Vrd937HwCiCJ3VqmYStWzTpwNGI1zHj6sLCsdSp0CFPlVbFtjx+xuTuij1cZYFUkxhcBUJZk23QHkBPDjtwJGvAXnBQJXHAzjkVdptg4C0c7yPdXceUiwEV0RE1GP8O7YpmSt3B5krZU6WLr6DzJUy5+rECYitrW0eV+dcxVjmSm3FHqhboDrnKvTgCvCWBtatWgVAWhQ40Dwknc0G66RJPvvG2nwrwK8sMISflTZzxeCKYgmDq0hQ5lxBBJzyp4FfPQ28dSVQ8Jjvvs11gEe+ANkGSgGVsiBwdwMibRML7fwrIiLql/RJSYCmnMw8erR0x+VSS/YC8YRYFmgYNEiaF9PaCpdc6qaldguMtYYWyiLCgcoCuzDnCvDOpVLWumovYLLKLdmVfY1yVieWaMsCQ8nyKWt+ucrKuIgwxZSYCK5efPFF5OTkwGKxIC8vD8XFxUH3ffPNNyEIgs+XRV6foscY4wCdQbqvzLs6tU+63fgCULXLu6/SzMKS7C2Nm/skMH0JkDWte+Ng5oqIiDQEnQ76FOl6IJhMMA8frj7WXmmgxyFlrjpqaCHodD6NCNocJ1YbWqiZq3YaWnQycxU3ZTKEuDj1+/Zaq8fP8m1/H4uZK32KZs5VKJkr+efhPHpU3cbMFcWCqA+uVq5cieXLl+PRRx/F1q1bMWnSJMydOxcnT54M+pzExERUVlaqX8eOHevBEQMQBG/2Spl3pQRRohv4v3u85YFKMwttW/Xx1wLz/wjoDd0bB4MrIiLyo5RnGYcMgWA0QrBK6w21G1ypmav2gyvArxGBHzFWG1qo3QJ9M1eix6Ouc9XZskCdyQTrNO+HqMZ2AibL+PHQJSRo9o29OVc+mauQ5lxJPw+Pw6FuY3BFsSDqg6tnn30WS5YsweLFizFu3Di88sorsFqteP3114M+RxAEZGRkqF/pvdGu1OzXMVBZywoAKrYAJfL4GzWdAsONwRUREflRmloob+aVxVzb6xiodgvsIHMFaBsRBAiu5IYWulhbRNgSeBFhT2OjOre6s2WBgHfeFeD9uQV8fYMB1rwZ3n2HxF7mSmexqGWloZQF6qzWNnMEGVxRLIjq4MrpdKKkpARz5sxRt+l0OsyZMweFhYVBn9fY2Ihhw4YhOzsbV199NXbv3h10XwBoaWlBfX29z1e3qe3Yz0p/eJUgKn+ZdPvFY0DTGW/QFZHgKlkznuRgexERURSKyLUJ3gyCSS670svZqPYzV3JDiw7mXAGajoEB1rpSGlrEWllgsFbsSht2wWLpUpMO22xvuV9HpX7KHC19ampI/w7RSFlIONRA1CeI1OkgGLpZ0UPUA6I6uKqpqYHb7W6TeUpPT0dVgImyADB69Gi8/vrr+Pjjj/H222/D4/Fg1qxZOB6kLSwArFixAklJSepXdjjS7drMVUsD4JbrtC9+UGq33lIPHPiPN7jSlgWGizkRGH4hMGQ6EB9biw0SEfV3Ebk2AYi/6CLokpIQ/53vAPBmo9ztBVf20LoFAoD5XGlJkaZt2yAqHXNlsVoWKCgNLfwyV827pDnUpqFdazBhHjUKtvPPh3XGjA5L/RIvvxymnBwkXXVVl14rGiRedhkMAwfCMnFiSPsbNYsqM2tFsaLPfQSQn5+PfE2afdasWRg7diz+93//F7/97W8DPufBBx/E8uXL1e/r6+u7fxHTrnWlBFCmeMAcD4xbCKx/Gtj3qTejZItAcCUIwKJPvPeJiChmROTaBCBx3jwkXHGF2vZbCa6U7FQgSlaro4YWABA3dSoEsxmtJ0/CefgwzOd4lxhRG1oYYzRz1eIbXNk3SlU02vK+zhB0Ogz9f6+GtK8hLQ0jV3/epdeJFoPuuw8Df/7zgC3nAzENYXBFsSeqM1dpaWnQ6/Worq722V5dXY2MjIyQjmE0GjFlyhQcOnQo6D5msxmJiYk+X92mNLRoqW87r2rMfOn2UAFQVybdj49AWSAgBVUMrIiIYk5Erk0y7ZtbpcSs3TlX9tDnXOnMZlhzpwLwBh8K0Sm31I6xOVeBFhEWRRH2jdKivrZZXQuu+qNQAyvAt3EHgyuKFVEdXJlMJuTm5qKgoEDd5vF4UFBQ4JOdao/b7cbOnTsxePDgSA0zMIumLNC/I+DgSUBSNuByAEc3SNsikbkiIiLqgD5eCa7CM+cK8M4PUoIPRV9aRNhVVgZXRQVgNPp0/aPwMbEskGJQVAdXALB8+XK8+uqreOutt7B3717cddddsNvtWLx4MQBg0aJFePDBB9X9H3/8cfz3v/9FaWkptm7dih/84Ac4duwYfvjDH/bswLWt2P0zV4LgzV6Jbt/HiIiIepDSXj2kOVchtGIHAKv8AaijuFhdABaI5YYWypwrb0MLu9xYyzppUsw2mIh22rW/Yu13hvqvqJ9zdcMNN+DUqVN45JFHUFVVhcmTJ2P16tVqk4uysjLodN4Y8cyZM1iyZAmqqqowYMAA5ObmYuPGjRg3blzPDlzb0CJQ04ox84GiV7zfR6oskIiIqB3qnKt2ygK9c65CCyIsY8dCn5wMd10dmr79FtbcXACx3NDCm7kSRRGCIMD+jVwSOHtWe0+lbjAMTINgNkNsaWHmimJG1AdXALBs2TIsW7Ys4GPr1q3z+f65557Dc8891wOj6oA65+os0Cj/QdCW/g2dJTWzaK5r+xgREVEPUedcBWloIbpc3nK+EDM0gk4Ha/5MNHy+GvaNhWpw5VGCqxjLQihzruDxAC4XRL0e9qIiAF1vZkEdE3Q6GIcMgfPwYQZXFDOiviwwZlnkNRy0mSubZjE8vQEYfYV03xQPmKw9Oz4iIiJ426sHW+dKm9HqTPmb/7wr0e0GWlsBxGBwJS8iDEjZq+bdu+Gpr4cuIQGW8eN7cWR9n0luasHgimIFg6tICTTnyn8tK2XeVWJWz42LiIhIQx/f/iLCbjmjJVgsnXqDGy8HV03ffgt3Y6NaEgjEXkMLGI2AXg8A8DQ1q10QrXkzuLBthCkdA2MtIKf+i8FVpJgDdAv0L/0bPR+47HFg/jM9OzYiIiJZR63YPZ1ow65lzMqCcdhQwO2Go3izWloIxN4bZUEQ1IBQbG7StGDnfKtIM2UPAcDMFcUOBleRorZirwcaAzS0AACdDph9DzD8gp4dGxERkUwJmtxBWrErGS2drfPl63ETJwEAnEdK1flW0OtjMtsjxElNLdxnzqBp2zYA3uwcRY4tPx+C1Qrr9Om9PRSikMTeX7dYoZQF2mvYbp2IiKKW0l49WEMLJaOlD7ENu5YhNRUA0FpTG7OdAhU6iwVuAI0bvoHocsGQORjGYcN6e1h9nnnUKIwuLorJgJz6J2auIkUpC1QCK4PFG3ARERFFCbWhRbCywMaulQUCgCFNDq5qa7wdB2O0vEuQOwY2rl0LQCoJFAShN4fUbzCwoljC4CpS/AMp20Bp8WAiIqIo4m3F3ghRFNs87lbLAju/UK4+VeqS6+4TmSupLLB5zx4AbMFORIExuIoUvREwaurTWRJIRERRSOkWCFGE6HC0eVwpF+xW5ur0aTVzFWvNLBSCxTcoZHBFRIEwuIokbfbKv5kFERFRFBDi4qQGSwDcAUoDlXJBpXywM9Q5V7U13gWEYzxzBQDmsWNhSEnpxdEQUbRicBVJyrwrgJkrIiKKSoIgqFmpQE0tlDlX+i5krtSywNNnIDY3S69njs3MlS7Ou5CwbRazVkQUGIOrSGLmioiIYoB3rau27diVFu1dmXNlSBkgH8SN1pPSmo86Y2wGV4Imc8X1rYgoGAZXkWTRZq4YXBERUXTSx3ubWvhTywK70IpdMBqhT0oCALhOnJC2xWxZoJS5EkwmWHNze3k0RBStGFxFkk/mimWBREQUndS1rgLNuepGQwsA0KdJpYGuE5UAYje4EuTgKi53qhpoERH5Y3AVSeYk733OuSIioiillPy5A2Wu1HWuOl8WCHibWqiZqxjtFhg3cSIgCEhacFVvD4WIohhXZYskbeaKZYFERBSlQmpo0YU5V4C3HbsSXOlitKFF0oIrkXDpJdBZrR3vTET9FjNXkaSdc8WGFkREFKWUrFTAskB7N8sC5Y6BrupqAIAQow0tADCwIqIOMbiKJKUVu84AWJJ7dShERETB6NXMVaBugd0LrpSyQLhcAGJ3zhURUSgYXEWSUhZoG6gu0EhERBRtgrViF0XRO+eqm2WBCgZXRNSX8R1/JFnkhhZsZkFERFEsWLdAsaUFcLt99uksfYpfcGUyduk4RESxICaCqxdffBE5OTmwWCzIy8tDcXFxSM977733IAgCFi5cGNkBBjP8QiDnAmDGj3rn9YmIiEKglPy5/RpaqGWCggCdNc7/aSHxz1zpmLkioj4s6oOrlStXYvny5Xj00UexdetWTJo0CXPnzsVJeaX3YI4ePYr77rsPF1xwQQ+NNABrCnD7p8DUW3tvDERERB3QBVlEWFsSKHSxvF2dcyWL1VbsREShiPrg6tlnn8WSJUuwePFijBs3Dq+88gqsVitef/31oM9xu9245ZZb8Nhjj2HEiBE9OFoiIqLYo8658guulExWV+dbAd5FhBWCiZkrIuq7ojq4cjqdKCkpwZw5c9RtOp0Oc+bMQWFhYdDnPf744xg0aBDuvPPOkF6npaUF9fX1Pl9ERES9qSevTcG6BXa3DTsglQFqny/E6DpXREShiOrgqqamBm63G+np6T7b09PTUVVVFfA5GzZswGuvvYZXX3015NdZsWIFkpKS1K/s7OxujZuIiKi7evLaZMjIAAA4T5yAx+FQtyvdA5WywS4fX1MayLJAIurLojq46qyGhgbceuutePXVV5HmV4bQngcffBBnz55Vv8rLyyM4SiIioo715LXJmJUFY1YW4HLBsWWLul3JZOm7URYI+JYGsqEFEfVlht4eQHvS0tKg1+tRLa/qrqiurkaG/Cmb1uHDh3H06FEsWLBA3ebxeAAABoMB+/fvx8iRI9s8z2w2w8w/9kREFEV68tokCAJss/JR9/4HsH+zEfEXXggAcKsNLbpeFggAhpQU72txzhUR9WFRnbkymUzIzc1FQUGBus3j8aCgoAD5+flt9h8zZgx27tyJ7du3q19XXXUVvvOd72D79u0s9yMiIgrCNmsWAMCumdMcjjlXAKBPY1kgEfUPUZ25AoDly5fjtttuw7Rp0zBjxgw8//zzsNvtWLx4MQBg0aJFyMrKwooVK2CxWDB+/Hif5ycnJwNAm+1ERETkZZ05ExAEtBw4gNZTp2AYOBCexvAEV4ZUb1kgG1oQUV8W9cHVDTfcgFOnTuGRRx5BVVUVJk+ejNWrV6tNLsrKyqDr4tobREREJDEMGADL2LFo3rMH9k2bkLRggWadK2v3jq3JXOmYuSKiPizqgysAWLZsGZYtWxbwsXXr1rX73DfffDP8AyIiIuqDbLNnScHVNxul4EouC9R3tyxQ2y2Qc5yJqA9jyoeIiIgAADZ5PrN940aIoqhpxR7OskAGV0TUdzG4IiIiIgBAXG4uBLMZrSdPwllaGr5ugdqGFkaWBRJR38XgioiIiABIa1BZc6cCAI7ddjuaSrZK27u7zlWKZs4VG1oQUR/G4IqIiIhUCXO/CwBw19RAdDoBnQ7mkSO6dUydzQrT8OHQJSX5zL8iIuprYqKhBREREfWM5OuvQ9yUyRAdDgCAISMDxoyMbh1TEATkvP8+RJcTOoslHMMkIopKDK6IiIhIJQgCLOeeG/bj6uNtALpXXkhEFO1YFkhERERERBQGDK6IiIiIiIjCgMEVERERERFRGDC4IiIiIiIiCgMGV0RERERERGHA4IqIiIiIiCgM2Io9AFEUAQD19fW9PBIiov5F+bur/B0mL16biIh6R2euTQyuAmhoaAAAZGdn9/JIiIj6p4aGBiQlJfX2MKIKr01ERL0rlGuTIPLjwTY8Hg9OnDiBhIQECIIQ0nPq6+uRnZ2N8vJyJCYmRniEPYfnFVt4XrGjL54T0P3zEkURDQ0NyMzMhE7HynUtXpu8eF6xpS+eV188J4DnFUxnrk3MXAWg0+kwZMiQLj03MTGxT/0yKnhesYXnFTv64jkB3TsvZqwC47WpLZ5XbOmL59UXzwngeQUS6rWJHwsSERERERGFAYMrIiIiIiKiMGBwFSZmsxmPPvoozGZzbw8lrHhesYXnFTv64jkBffe8YlVf/ffgecWWvnheffGcAJ5XOLChBRERERERURgwc0VERERERBQGDK6IiIiIiIjCgMEVERERERFRGDC4IiIiIiIiCgMGV2Hy4osvIicnBxaLBXl5eSguLu7tIYVsxYoVmD59OhISEjBo0CAsXLgQ+/fv99mnubkZS5cuRWpqKuLj4/G9730P1dXVvTTirnnqqacgCALuvfdedVusnldFRQV+8IMfIDU1FXFxcZgwYQK2bNmiPi6KIh555BEMHjwYcXFxmDNnDg4ePNiLI+6Y2+3Gww8/jOHDhyMuLg4jR47Eb3/7W2h77sTCea1fvx4LFixAZmYmBEHARx995PN4KOdw+vRp3HLLLUhMTERycjLuvPNONDY29uBZtNXeeblcLtx///2YMGECbDYbMjMzsWjRIpw4ccLnGNF4Xn0dr03Rj9em6Pob7o/XJq9o+xsetdclkbrtvffeE00mk/j666+Lu3fvFpcsWSImJyeL1dXVvT20kMydO1d84403xF27donbt28X582bJw4dOlRsbGxU9/nxj38sZmdniwUFBeKWLVvEmTNnirNmzerFUXdOcXGxmJOTI06cOFG855571O2xeF6nT58Whw0bJt5+++1iUVGRWFpaKv7nP/8RDx06pO7z1FNPiUlJSeJHH30k7tixQ7zqqqvE4cOHi01NTb048vY98cQTYmpqqvjpp5+KR44cEd9//30xPj5e/NOf/qTuEwvn9dlnn4m//vWvxVWrVokAxA8//NDn8VDO4bvf/a44adIkcdOmTeLXX38tnnPOOeJNN93Uw2fiq73zqqurE+fMmSOuXLlS3Ldvn1hYWCjOmDFDzM3N9TlGNJ5XX8ZrU/TjtSn6/ob747Upeq9N0XpdYnAVBjNmzBCXLl2qfu92u8XMzExxxYoVvTiqrjt58qQIQPzqq69EUZR+QY1Go/j++++r++zdu1cEIBYWFvbWMEPW0NAgjho1SlyzZo140UUXqRewWD2v+++/Xzz//PODPu7xeMSMjAzxD3/4g7qtrq5ONJvN4rvvvtsTQ+yS+fPni3fccYfPtmuvvVa85ZZbRFGMzfPy/2Mfyjns2bNHBCBu3rxZ3efzzz8XBUEQKyoqemzs7Ql0YfZXXFwsAhCPHTsmimJsnFdfw2tTdOO1Kfr/hosir02xcm2KpusSywK7yel0oqSkBHPmzFG36XQ6zJkzB4WFhb04sq47e/YsACAlJQUAUFJSApfL5XOOY8aMwdChQ2PiHJcuXYr58+f7jB+I3fP65JNPMG3aNFx33XUYNGgQpkyZgldffVV9/MiRI6iqqvI5r6SkJOTl5UX1ec2aNQsFBQU4cOAAAGDHjh3YsGEDrrjiCgCxe15aoZxDYWEhkpOTMW3aNHWfOXPmQKfToaioqMfH3FVnz56FIAhITk4G0HfOK1bw2hT958hrU2z8Dee1qe9cm3rqumTo7kD7u5qaGrjdbqSnp/tsT09Px759+3ppVF3n8Xhw7733Yvbs2Rg/fjwAoKqqCiaTSf1lVKSnp6OqqqoXRhm69957D1u3bsXmzZvbPBar51VaWoqXX34Zy5cvx69+9Sts3rwZd999N0wmE2677TZ17IF+J6P5vB544AHU19djzJgx0Ov1cLvdeOKJJ3DLLbcAQMyel1Yo51BVVYVBgwb5PG4wGJCSkhIz59nc3Iz7778fN910ExITEwH0jfOKJbw2RffvFK9NXtF+Xrw29Y1rU09elxhckY+lS5di165d2LBhQ28PpdvKy8txzz33YM2aNbBYLL09nLDxeDyYNm0annzySQDAlClTsGvXLrzyyiu47bbbenl0XffPf/4T77zzDv7xj3/gvPPOw/bt23HvvfciMzMzps+rv3G5XLj++ushiiJefvnl3h4O9RG8NkU/XpsoWvX0dYllgd2UlpYGvV7fpotPdXU1MjIyemlUXbNs2TJ8+umn+PLLLzFkyBB1e0ZGBpxOJ+rq6nz2j/ZzLCkpwcmTJzF16lQYDAYYDAZ89dVX+POf/wyDwYD09PSYPK/Bgwdj3LhxPtvGjh2LsrIyAFDHHmu/k7/4xS/wwAMP4MYbb8SECRNw66234mc/+xlWrFgBIHbPSyuUc8jIyMDJkyd9Hm9tbcXp06ej/jyVC9ixY8ewZs0a9dNBILbPKxbx2hS958hrU2z9TvLaFNvXpt64LjG46iaTyYTc3FwUFBSo2zweDwoKCpCfn9+LIwudKIpYtmwZPvzwQ6xduxbDhw/3eTw3NxdGo9HnHPfv34+ysrKoPsdLL70UO3fuxPbt29WvadOm4ZZbblHvx+J5zZ49u0074gMHDmDYsGEAgOHDhyMjI8PnvOrr61FUVBTV5+VwOKDT+f5J0uv18Hg8AGL3vLRCOYf8/HzU1dWhpKRE3Wft2rXweDzIy8vr8TGHSrmAHTx4EF988QVSU1N9Ho/V84pVvDZF7zny2hRbf8N5bYrda1OvXZe63AqDVO+9955oNpvFN998U9yzZ4/4ox/9SExOTharqqp6e2ghueuuu8SkpCRx3bp1YmVlpfrlcDjUfX784x+LQ4cOFdeuXStu2bJFzM/PF/Pz83tx1F2j7cgkirF5XsXFxaLBYBCfeOIJ8eDBg+I777wjWq1W8e2331b3eeqpp8Tk5GTx448/Fr/99lvx6quvjrq2sP5uu+02MSsrS213u2rVKjEtLU385S9/qe4TC+fV0NAgbtu2Tdy2bZsIQHz22WfFbdu2qd2JQjmH7373u+KUKVPEoqIiccOGDeKoUaN6vWV5e+fldDrFq666ShwyZIi4fft2n78jLS0t6jGi8bz6Ml6bYgevTdHzN9wfr03Re22K1usSg6sweeGFF8ShQ4eKJpNJnDFjhrhp06beHlLIAAT8euONN9R9mpqaxJ/85CfigAEDRKvVKl5zzTViZWVl7w26i/wvYLF6Xv/3f/8njh8/XjSbzeKYMWPEv/71rz6Pezwe8eGHHxbT09NFs9ksXnrppeL+/ft7abShqa+vF++55x5x6NChosViEUeMGCH++te/9vkjGAvn9eWXXwb8/3TbbbeJohjaOdTW1oo33XSTGB8fLyYmJoqLFy8WGxoaeuFsvNo7ryNHjgT9O/Lll1+qx4jG8+rreG2KDbw2RS9em7yi7W94tF6XBFHULDFNREREREREXcI5V0RERERERGHA4IqIiIiIiCgMGFwRERERERGFAYMrIiIiIiKiMGBwRUREREREFAYMroiIiIiIiMKAwRUREREREVEYMLgiIiIiIiIKAwZXRP1ETk4Onn/++d4eBhERkYrXJuprGFwRRcDtt9+OhQsXAgAuvvhi3HvvvT322m+++SaSk5PbbN+8eTN+9KMf9dg4iIgouvDaRBR5ht4eABGFxul0wmQydfn5AwcODONoiIiIeG0i8sfMFVEE3X777fjqq6/wpz/9CYIgQBAEHD16FACwa9cuXHHFFYiPj0d6ejpuvfVW1NTUqM+9+OKLsWzZMtx7771IS0vD3LlzAQDPPvssJkyYAJvNhuzsbPzkJz9BY2MjAGDdunVYvHgxzp49q77eb37zGwBtSy/Kyspw9dVXIz4+HomJibj++utRXV2tPv6b3/wGkydPxt///nfk5OQgKSkJN954IxoaGtR9PvjgA0yYMAFxcXFITU3FnDlzYLfbI/TTJCKicOC1iShyGFwRRdCf/vQn5OfnY8mSJaisrERlZSWys7NRV1eHSy65BFOmTMGWLVuwevVqVFdX4/rrr/d5/ltvvQWTyYRvvvkGr7zyCgBAp9Phz3/+M3bv3o233noLa9euxS9/+UsAwKxZs/D8888jMTFRfb377ruvzbg8Hg+uvvpqnD59Gl999RXWrFmD0tJS3HDDDT77HT58GB999BE+/fRTfPrpp/jqq6/w1FNPAQAqKytx00034Y477sDevXuxbt06XHvttRBFMRI/SiIiChNem4gih2WBRBGUlJQEk8kEq9WKjIwMdftf/vIXTJkyBU8++aS67fXXX0d2djYOHDiAc889FwAwatQoPP300z7H1NbI5+Tk4He/+x1+/OMf46WXXoLJZEJSUhIEQfB5PX8FBQXYuXMnjhw5guzsbADA3/72N5x33nnYvHkzpk+fDkC60L355ptISEgAANx6660oKCjAE088gcrKSrS2tuLaa6/FsGHDAAATJkzoxk+LiIh6Aq9NRJHDzBVRL9ixYwe+/PJLxMfHq19jxowBIH0ip8jNzW3z3C+++AKXXnopsrKykJCQgFtvvRW1tbVwOBwhv/7evXuRnZ2tXrwAYNy4cUhOTsbevXvVbTk5OerFCwAGDx6MkydPAgAmTZqESy+9FBMmTMB1112HV199FWfOnAn9h0BERFGF1yai7mNwRdQLGhsbsWDBAmzfvt3n6+DBg7jwwgvV/Ww2m8/zjh49iiuvvBITJ07Ev/71L5SUlODFF18EIE0qDjej0ejzvSAI8Hg8AAC9Xo81a9bg888/x7hx4/DCCy9g9OjROHLkSNjHQUREkcdrE1H3MbgiijCTyQS32+2zberUqdi9ezdycnJwzjnn+Hz5X7S0SkpK4PF48Mwzz2DmzJk499xzceLEiQ5fz9/YsWNRXl6O8vJydduePXtQV1eHcePGhXxugiBg9uzZeOyxx7Bt2zaYTCZ8+OGHIT+fiIh6B69NRJHB4IoownJyclBUVISjR4+ipqYGHo8HS5cuxenTp3HTTTdh8+bNOHz4MP7zn/9g8eLF7V58zjnnHLhcLrzwwgsoLS3F3//+d3Uysfb1GhsbUVBQgJqamoAlGXPmzMGECRNwyy23YOvWrSguLsaiRYtw0UUXYdq0aSGdV1FREZ588kls2bIFZWVlWLVqFU6dOoWxY8d27gdEREQ9jtcmoshgcEUUYffddx/0ej3GjRuHgQMHoqysDJmZmfjmm2/gdrtx+eWXY8KECbj33nuRnJwMnS74f8tJkybh2Wefxe9//3uMHz8e77zzDlasWOGzz6xZs/DjH/8YN9xwAwYOHNhm0jEgfar38ccfY8CAAbjwwgsxZ84cjBgxAitXrgz5vBITE7F+/XrMmzcP5557Lh566CE888wzuOKKK0L/4RARUa/gtYkoMgSRvSmJiIiIiIi6jZkrIiIiIiKiMGBwRUREREREFAYMroiIiIiIiMKAwRUREREREVEYMLgiIiIiIiIKAwZXREREREREYcDgioiIiIiIKAwYXBEREREREYUBgysiIiIiIqIwYHBFREREREQUBgyuiIiIiIiIwuD/A8VBagv9JPaJAAAAAElFTkSuQmCC", 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", 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" ] diff --git a/docs/examples/quantum-pipeline.ipynb b/docs/examples/quantum-pipeline.ipynb index 5bf4817c..c6a5f804 100644 --- a/docs/examples/quantum-pipeline.ipynb +++ b/docs/examples/quantum-pipeline.ipynb @@ -258,7 +258,7 @@ " optim_hyperparams={'a': 0.05, 'c': 0.06, 'A':0.01*EPOCHS},\n", " evaluate_functions={'acc': acc},\n", " evaluate_on_train=True,\n", - " verbose = 'text',\n", + " verbose='text',\n", " seed=0\n", ")" ] @@ -295,18 +295,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 12: train/loss: 0.7806 valid/loss: 0.7370 train/acc: 0.6143 valid/acc: 0.6000\n", - "Epoch 24: train/loss: 0.8200 valid/loss: 2.3029 train/acc: 0.5143 valid/acc: 0.4167\n", - "Epoch 36: train/loss: 0.5799 valid/loss: 0.7074 train/acc: 0.6357 valid/acc: 0.7333\n", - "Epoch 48: train/loss: 0.2536 valid/loss: 0.6971 train/acc: 0.8286 valid/acc: 0.7333\n", - "Epoch 60: train/loss: 0.3525 valid/loss: 0.6221 train/acc: 0.7857 valid/acc: 0.7000\n", - "Epoch 72: train/loss: 0.4108 valid/loss: 0.4954 train/acc: 0.7500 valid/acc: 0.7000\n", - "Epoch 84: train/loss: 0.3844 valid/loss: 0.5546 train/acc: 0.8143 valid/acc: 0.6667\n", - "Epoch 96: train/loss: 0.4692 valid/loss: 0.6456 train/acc: 0.8286 valid/acc: 0.6333\n", - "Epoch 108: train/loss: 0.3136 valid/loss: 0.6517 train/acc: 0.8000 valid/acc: 0.6667\n", - "Epoch 120: train/loss: 0.1469 valid/loss: 0.6978 train/acc: 0.8429 valid/acc: 0.6333\n", + "Epoch 12: train/loss: 2.1017 valid/loss: 0.8054 train/time: 2m21s valid/time: 29.87s train/acc: 0.5929 valid/acc: 0.5167\n", + "Epoch 24: train/loss: 0.8344 valid/loss: 0.7573 train/time: 2m16s valid/time: 30.83s train/acc: 0.5786 valid/acc: 0.5500\n", + "Epoch 36: train/loss: 1.8189 valid/loss: 0.9036 train/time: 2m17s valid/time: 30.32s train/acc: 0.5286 valid/acc: 0.4667\n", + "Epoch 48: train/loss: 1.8901 valid/loss: 0.7692 train/time: 2m11s valid/time: 28.47s train/acc: 0.5857 valid/acc: 0.6500\n", + "Epoch 60: train/loss: 0.5390 valid/loss: 0.4898 train/time: 2m16s valid/time: 28.18s train/acc: 0.7571 valid/acc: 0.7333\n", + "Epoch 72: train/loss: 0.4840 valid/loss: 0.4777 train/time: 2m10s valid/time: 28.43s train/acc: 0.8000 valid/acc: 0.7333\n", + "Epoch 84: train/loss: 0.3344 valid/loss: 0.4273 train/time: 2m14s valid/time: 28.68s train/acc: 0.8071 valid/acc: 0.8333\n", + "Epoch 96: train/loss: 0.4518 valid/loss: 0.4237 train/time: 2m12s valid/time: 29.25s train/acc: 0.8286 valid/acc: 0.7667\n", + "Epoch 108: train/loss: 0.3554 valid/loss: 0.4414 train/time: 2m12s valid/time: 28.41s train/acc: 0.8714 valid/acc: 0.7667\n", + "Epoch 120: train/loss: 0.2696 valid/loss: 0.4609 train/time: 2m12s valid/time: 28.06s train/acc: 0.7857 valid/acc: 0.7333\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 22m20s train/time_per_epoch: 11.17s train/time_per_step: 3.72s valid/time: 4m50s valid/time_per_eval: 2.42s\n" ] } ], @@ -330,12 +331,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy: 0.7666666666666667\n" + "Test accuracy: 0.8166666666666667\n" ] }, { "data": { - "image/png": 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", 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", 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" ] diff --git a/docs/examples/rotosolve-optimizer.ipynb b/docs/examples/rotosolve-optimizer.ipynb index da656d65..a497a438 100644 --- a/docs/examples/rotosolve-optimizer.ipynb +++ b/docs/examples/rotosolve-optimizer.ipynb @@ -189,7 +189,7 @@ " optimizer=RotosolveOptimizer,\n", " optim_hyperparams={},\n", " evaluate_on_train=True,\n", - " verbose = 'suppress',\n", + " verbose='suppress',\n", " seed=i\n", " )\n", "\n", diff --git a/docs/index.rst b/docs/index.rst index 1b7a4a78..27ded0bc 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -7,7 +7,7 @@ lambeq ``lambeq`` is an open-source, modular, extensible high-level Python library for experimental :term:`Quantum Natural Language Processing ` (QNLP), created by `Quantinuum `_'s QNLP team. At a high level, the library allows the conversion of any sentence to a :term:`quantum circuit`, based on a given :term:`compositional model` and certain parameterisation and choices of :term:`ansätze `, and facilitates :ref:`training ` for both quantum and classical NLP experiments. The notes for the latest release can be found :ref:`here `. -``lambeq`` is available for Python 3.9 and higher, on Linux, macOS and Windows. To install, type: +``lambeq`` is available for Python 3.10 and higher, on Linux, macOS and Windows. To install, type: .. code-block:: bash diff --git a/docs/manual-training.rst b/docs/manual-training.rst index edf55181..50bd4fa8 100644 --- a/docs/manual-training.rst +++ b/docs/manual-training.rst @@ -7,17 +7,17 @@ While the :py:mod:`.training` package is the recommended way of performing super In general, there are many ways to train a ``lambeq`` model, and the right one to use depends on the task at hand, the type of experiment (quantum or classical), and even other factors, such as hardware requirements. At the highest level, the process involves the following steps (for the classical case): -1. Extract the word :term:`symbols ` from all diagrams to create a vocabulary. -2. Assign tensors to each one of the words in the vocabulary, initialised randomly. -3. Training loop: +#. Extract the word :term:`symbols ` from all diagrams to create a vocabulary. +#. Assign tensors to each one of the words in the vocabulary, initialised randomly. +#. Training loop: - 3.1. Substitute the tensors from the vocabulary for the corresponding words in the diagram. + a. Substitute the tensors from the vocabulary for the corresponding words in the diagram. - 3.2. Contract the diagram to get a result. + b. Contract the diagram to get a result. - 3.3. Use the result to compute loss. + c. Use the result to compute loss. - 3.4. Use loss to compute gradient and update tensors. + d. Use loss to compute gradient and update tensors. In the quantum case we do not explicitly have tensors, but :term:`circuit ` parameters defining rotation angles on :term:`qubits `, that need to be associated with concrete numbers; these are also represented by :term:`symbols `. diff --git a/docs/quantinuum-sphinx b/docs/quantinuum-sphinx new file mode 160000 index 00000000..160b2977 --- /dev/null +++ b/docs/quantinuum-sphinx @@ -0,0 +1 @@ +Subproject commit 160b297794d5af8832b7d7085707a9bcc43c93d3 diff --git a/docs/release-notes.rst b/docs/release-notes.rst index 2ced013c..a0800dfe 100644 --- a/docs/release-notes.rst +++ b/docs/release-notes.rst @@ -3,6 +3,29 @@ Release notes ============= +.. _rel-0.4.2: + +`0.4.2 `_ +------------------------------------------------------------ + +Added: + +- Added timing information to training logs and model checkpoints. + +Changed: + +- Changed theme of online documentation. +- Updated required version of ``pytket`` to 1.31.0. + +Fixed: + +- Fixed bug in generation of single-legged quantum spiders. +- Fixed bug when evaluating quantum circuits using Tket. + +Removed: + +- Removed support for Python 3.9. + .. _rel-0.4.1: `0.4.1 `_ @@ -35,13 +58,13 @@ Added: - A new integrated backend that replaces :term:`DisCoPy`, which until now was providing the low-level functionality of ``lambeq``. The new backend offers better performance, increased stability, faster training speeds, and a simplified high-level interface to the user. The new backend consists of the following sub-modules: - - :py:mod:`lambeq.backend.grammar`: Contains the building blocks for creating string diagrams. - - :py:mod:`lambeq.backend.tensor`: Contains the necessary classes to create tensor diagrams. - - :py:mod:`lambeq.backend.quantum`: Adds quantum-specific functionality to the backend and provides a circuit simulator based on the `TensorNetwork `_ library. - - :py:mod:`lambeq.backend.pennylane`: Interface with PennyLane. - - :py:mod:`lambeq.backend.tk`: Inteface with Tket. - - :py:mod:`lambeq.backend.numerical_backend`: Common interface for numerical backends (such as Numpy, Jax, PyTorch, TensorFlow) - - :py:mod:`lambeq.backend.drawing`: Contains drawing functionality for diagrams and circuits. + - :py:mod:`lambeq.backend.grammar`: Contains the building blocks for creating string diagrams. + - :py:mod:`lambeq.backend.tensor`: Contains the necessary classes to create tensor diagrams. + - :py:mod:`lambeq.backend.quantum`: Adds quantum-specific functionality to the backend and provides a circuit simulator based on the `TensorNetwork `_ library. + - :py:mod:`lambeq.backend.pennylane`: Interface with PennyLane. + - :py:mod:`lambeq.backend.tk`: Inteface with Tket. + - :py:mod:`lambeq.backend.numerical_backend`: Common interface for numerical backends (such as Numpy, Jax, PyTorch, TensorFlow) + - :py:mod:`lambeq.backend.drawing`: Contains drawing functionality for diagrams and circuits. - :py:class:`~lambeq.BobcatParser`: Added a special case for adjectival conjunction in tree translation. - :py:class:`~lambeq.TreeReader`: Diagrams now are created straight from the :py:class:`~lambeq.CCGTree`. @@ -68,8 +91,10 @@ Removed: This update features contributions from participants in `unitaryHACK 2023 `_: - Two new optimisers: - - The Nelder-Mead optimiser. (credit: `Gopal Dahale `_) - - The Rotosolve optimiser. (credit: `Ahmed Darwish `_) + + - The Nelder-Mead optimiser. (credit: `Gopal Dahale `_) + - The Rotosolve optimiser. (credit: `Ahmed Darwish `_) + - A new rewrite rule for handling unknown words. (credit: `WingCode `_) Many thanks to all who participated. @@ -94,13 +119,15 @@ Fixed: Added: - Support for :term:`DisCoPy` >= 1.1.4 (credit: `toumix `_). - - replaced ``discopy.rigid`` with :py:mod:`discopy.grammar.pregroup` everywhere. - - replaced ``discopy.biclosed`` with :py:mod:`discopy.grammar.categorial` everywhere. - - Use ``Diagram.decode`` to account for the change in contructor signature ``Diagram(inside, dom, cod)``. - - updated attribute names that were previously hidden, e.g. ``._data`` becomes ``.data``. - - replaced diagrammatic conjugate with transpose. - - swapped left and right currying. - - dropped support for legacy DisCoPy. + + - replaced ``discopy.rigid`` with :py:mod:`discopy.grammar.pregroup` everywhere. + - replaced ``discopy.biclosed`` with :py:mod:`discopy.grammar.categorial` everywhere. + - Use ``Diagram.decode`` to account for the change in contructor signature ``Diagram(inside, dom, cod)``. + - updated attribute names that were previously hidden, e.g. ``._data`` becomes ``.data``. + - replaced diagrammatic conjugate with transpose. + - swapped left and right currying. + - dropped support for legacy DisCoPy. + - Added :py:class:`~lambeq.CCGType` class for utilisation in the ``biclosed_type`` attribute of :py:class:`~lambeq.CCGTree`, allowing conversion to and from a discopy categorial object using :py:meth:`~lambeq.CCGType.discopy` and :py:meth:`~lambeq.CCGType.from_discopy` methods. - :py:class:`~lambeq.CCGTree`: added reference to the original tree from parsing by introducing a ``metadata`` field. @@ -197,7 +224,7 @@ Added: - Added support for Japanese to :py:class:`.DepCCGParser` (credit: `KentaroAOKI `_). - Overhauled the :py:class:`.CircuitAnsatz` interface, and added three new :term:`ansätze `. - Added helper methods to :py:class:`.CCGTree` to get the children of a tree. - Added a new :py:meth:`.TreeReader.tree2diagram` method to :py:class:`.TreeReader`, extracted from :py:meth:`.TreeReader.sentence2diagram`. +- Added a new :py:meth:`.TreeReader.tree2diagram` method to :py:class:`.TreeReader`, extracted from :py:meth:`.TreeReader.sentence2diagram`. - Added a new :py:class:`.TreeReaderMode` named :py:attr:`.TreeReaderMode.HEIGHT`. - Added new methods to :py:class:`.Checkpoint` for creating, saving and loading checkpoints for training. - Documentation: added a section for how to select the right model and trainer for training. @@ -232,9 +259,7 @@ Removed: ------------------------------------------------------------ - Added a strict pregroups mode to the CLI. With this mode enabled, all swaps are removed from the output string diagrams by changing the ordering of the atomic types, converting them into a valid :term:`pregroup ` form as given in [Lam1999]_. - - Adjusted the behaviour of output normalisation in quantum models. Now, :py:class:`.NumpyModel` always returns probabilities instead of amplitudes. - - Removed the prediction from the output of the :py:class:`.SPSAOptimizer`, which now returns just the loss. .. _rel-0.2.5: @@ -243,17 +268,11 @@ Removed: ------------------------------------------------------------ - Added a "swapping" unary rule box to handle unary rules that change the direction of composition, improving the coverage of the :py:class:`~lambeq.BobcatParser`. - - Added a ``--version`` flag to the CLI. - - Added a :py:meth:`~lambeq.Model.make_checkpoint` method to all training models. - - Changed the :py:class:`~lambeq.WebParser` so that the online service to use is specified by name rather than by URL. - - Changed the :py:class:`~lambeq.BobcatParser` to only allow one tree per category in a cell, doubling parsing speed without affecting the structure of the parse trees (in most cases). - - Fixed the parameter names in :py:class:`~lambeq.CCGRule`, where ``dom`` and ``cod`` had inadvertently been swapped. - - Made the linting of the codebase stricter, enforced by the GitHub action. The flake8 configuration can be viewed in the ``setup.cfg`` file. .. _rel-0.2.4: @@ -262,9 +281,7 @@ Removed: ------------------------------------------------------------ - Fix a bug that caused the :py:class:`~lambeq.BobcatParser` and the :py:class:`~lambeq.WebParser` to trigger an SSL certificate error using Windows. - - Fix false positives in assigning conjunction rule using the :py:class:`~lambeq.CCGBankParser`. The rule ``, + X[conj] -> X[conj]`` is a case of removing left punctuation, but was being assigned conjunction erroneously. - - Add support for using ``jax`` as backend of ``tensornetwork`` when setting ``use_jit=True`` in the :py:class:`~lambeq.NumpyModel`. The interface is not affected by this change, but performance of the model is significantly improved. .. _rel-0.2.3: @@ -273,19 +290,12 @@ Removed: ------------------------------------------------------------ - Fix a bug that raised a ``dtype`` error when using the :py:class:`~lambeq.TketModel` on Windows. - - Fix a bug that caused the normalisation of scalar outputs of circuits without open wires using a :py:class:`~lambeq.QuantumModel`. - - Change the behaviour of :py:data:`~lambeq.spiders_reader` such that the :term:`spiders ` decompose logarithmically. This change also affects other rewrite rules that use :term:`spiders `, such as coordination and relative pronouns. - - Rename ``AtomicType.PREPOSITION`` to :py:data:`AtomicType.PREPOSITIONAL_PHRASE `. - - :py:class:`~lambeq.CCGRule`: Add :py:meth:`~lambeq.CCGRule.symbol` method that returns the ASCII symbol of a given :term:`CCG ` rule. - - :py:class:`~lambeq.CCGTree`: Extend :py:meth:`~lambeq.CCGTree.deriv` method with :term:`CCG ` output. It is now capable of returning standard CCG diagrams. - - :ref:`Command-line interface `: Add :term:`CCG ` mode. When enabled, the output will be a string representation of the CCG diagram corresponding to the :py:class:`~lambeq.CCGTree` object produced by the parser, instead of a :term:`DisCoPy` diagram or circuit. - - Documentation: Add a :ref:`troubleshooting ` page. .. _rel-0.2.2: @@ -294,21 +304,17 @@ Removed: ------------------------------------------------------------ - Add support for Python 3.10. - - Unify class hierarchies for parsers and readers: :py:class:`~lambeq.CCGParser` is now a subclass of :py:class:`~lambeq.Reader` and placed in the common package :py:mod:`.text2diagram`. The old packages :py:mod:`.reader` and :py:mod:`.ccg2discocat` are no longer available. Compatibility problems with previous versions should be minimal, since from Release :ref:`rel-0.2.0` and onwards all ``lambeq`` classes can be imported from the global namespace. - - Add :py:class:`.CurryRewriteRule`, which uses map-state duality in order to remove adjoint types from the boxes of a diagram. When used in conjunction with :py:meth:`~discopy.rigid.Diagram.normal_form`, this removes cups from the diagram, eliminating post-selection. - - The :term:`Bobcat` parser now updates automatically when new versions are made available online. - - Update grammar file of :term:`Bobcat` parser to avoid problems with conflicting unary rules. - - Allow customising available root categories for the parser when using the command-line interface. .. _rel-0.2.1: `0.2.1 `_ ------------------------------------------------------------ + - A new :py:class:`.Checkpoint` class that implements pickling and file operations from the :py:class:`.Trainer` and :py:class:`.Model`. - Improvements to the :py:mod:`.training` module, allowing multiple diagrams to be accepted as input to the :py:class:`.SPSAOptimizer`. - Updated documentation, including sub-package structures and class diagrams. diff --git a/docs/requirements.txt b/docs/requirements.txt index 5c069728..e77c1d27 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -4,4 +4,5 @@ numpydoc~=1.5.0 Sphinx~=6.1.3 sphinx-argparse~=0.4.0 sphinx_mdinclude~=0.5.3 -sphinx-rtd-theme~=1.2.0 +furo~=2024.7.18 +sphinxcontrib-jquery~=4.1 diff --git a/docs/tutorials/trainer-classical.ipynb b/docs/tutorials/trainer-classical.ipynb index 202783e2..4084dc63 100644 --- a/docs/tutorials/trainer-classical.ipynb +++ b/docs/tutorials/trainer-classical.ipynb @@ -206,7 +206,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -399,14 +399,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 5: train/loss: 0.6518 valid/loss: 0.7119 train/acc: 0.5643 valid/acc: 0.5500\n", - "Epoch 10: train/loss: 0.5804 valid/loss: 0.6197 train/acc: 0.5714 valid/acc: 0.6167\n", - "Epoch 15: train/loss: 0.3311 valid/loss: 0.4577 train/acc: 0.8643 valid/acc: 0.7667\n", - "Epoch 20: train/loss: 0.1054 valid/loss: 0.2346 train/acc: 0.9500 valid/acc: 0.9333\n", - "Epoch 25: train/loss: 0.1346 valid/loss: 0.0438 train/acc: 0.9857 valid/acc: 1.0000\n", - "Epoch 30: train/loss: 0.0005 valid/loss: 0.0283 train/acc: 0.9929 valid/acc: 1.0000\n", + "Epoch 5: train/loss: 0.6518 valid/loss: 0.7119 train/time: 0.53s valid/time: 0.13s train/acc: 0.5643 valid/acc: 0.5500\n", + "Epoch 10: train/loss: 0.5804 valid/loss: 0.6197 train/time: 0.39s valid/time: 0.12s train/acc: 0.5714 valid/acc: 0.6167\n", + "Epoch 15: train/loss: 0.3311 valid/loss: 0.4577 train/time: 0.31s valid/time: 0.19s train/acc: 0.8643 valid/acc: 0.7667\n", + "Epoch 20: train/loss: 0.1054 valid/loss: 0.2346 train/time: 0.47s valid/time: 0.13s train/acc: 0.9500 valid/acc: 0.9333\n", + "Epoch 25: train/loss: 0.1346 valid/loss: 0.0438 train/time: 0.32s valid/time: 0.22s train/acc: 0.9857 valid/acc: 1.0000\n", + "Epoch 30: train/loss: 0.0005 valid/loss: 0.0283 train/time: 0.56s valid/time: 0.14s train/acc: 0.9929 valid/acc: 1.0000\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 2.59s train/time_per_epoch: 0.09s train/time_per_step: 0.03s valid/time: 0.93s valid/time_per_eval: 0.03s\n" ] } ], @@ -448,7 +449,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -532,14 +533,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 5: train/loss: 0.6729 valid/loss: 0.7965 train/acc: 0.6429 valid/acc: 0.3833\n", - "Epoch 10: train/loss: 0.4602 valid/loss: 1.0563 train/acc: 0.7500 valid/acc: 0.4333\n", - "Epoch 15: train/loss: 0.4580 valid/loss: 1.0329 train/acc: 0.8286 valid/acc: 0.4667\n", - "Epoch 20: train/loss: 0.1645 valid/loss: 1.0594 train/acc: 0.9429 valid/acc: 0.7667\n", - "Epoch 25: train/loss: 0.1098 valid/loss: 1.2642 train/acc: 0.9429 valid/acc: 0.7333\n", - "Epoch 30: train/loss: 0.1957 valid/loss: 1.3476 train/acc: 0.9429 valid/acc: 0.7333\n", + "Epoch 5: train/loss: 0.6729 valid/loss: 0.7965 train/time: 0.53s valid/time: 0.13s train/acc: 0.6429 valid/acc: 0.3833\n", + "Epoch 10: train/loss: 0.4602 valid/loss: 1.0563 train/time: 0.40s valid/time: 0.13s train/acc: 0.7500 valid/acc: 0.4333\n", + "Epoch 15: train/loss: 0.4580 valid/loss: 1.0329 train/time: 0.39s valid/time: 0.19s train/acc: 0.8286 valid/acc: 0.4667\n", + "Epoch 20: train/loss: 0.1645 valid/loss: 1.0594 train/time: 0.39s valid/time: 0.13s train/acc: 0.9429 valid/acc: 0.7667\n", + "Epoch 25: train/loss: 0.1098 valid/loss: 1.2642 train/time: 0.38s valid/time: 0.12s train/acc: 0.9429 valid/acc: 0.7333\n", + "Epoch 30: train/loss: 0.1957 valid/loss: 1.3476 train/time: 0.32s valid/time: 0.19s train/acc: 0.9429 valid/acc: 0.7333\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 2.40s train/time_per_epoch: 0.08s train/time_per_step: 0.03s valid/time: 0.89s valid/time_per_eval: 0.03s\n" ] } ], @@ -573,7 +575,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] diff --git a/docs/tutorials/trainer-hybrid.ipynb b/docs/tutorials/trainer-hybrid.ipynb index 0a2b1278..f3d49633 100644 --- a/docs/tutorials/trainer-hybrid.ipynb +++ b/docs/tutorials/trainer-hybrid.ipynb @@ -250,7 +250,7 @@ "outputs": [ { "data": { - "image/png": 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RYWGhrl69akkNkmcfCz02UO7YsUMxMTFWl6Ft27ZZXQKgDRs2WLp/f39/nT171mMPpABqR0++w5OPhR4ZKA3DUGpqqvr27au//OUvVpcDeLWzZ8/qt7/9ra5eveqRB1EAtaMn3+Hpx0KPDJQ7duzQoUOHtG3bNvXq1cvqcgAA8Fr0ZO/gcf8op+ZMqH///ho2bJjV5QAA4LXoyd7D4yaU3z0TstlsVpcDAIDXoid7D4+aUHImBACAa6AnexePmlByJgQAgGugJ3sXj5lQciYEAIBroCd7H4+ZUHImBACAa6Anex+PmFByJuR6EhISNHr06Ac+n5qaqmeeeeaB60dHRyslJcWxXF5erjFjxig4OFg2m03ffPPN99Zw6dIl2Ww2nThx4pHrBwDUDT3ZO3nEhJIzIfczY8YMTZ8+/aHXz8nJUV5eng4ePKiwsDCFhITUed8JCQmSpOzs7DpvAwBwf97Qk1NTU7Vnzx7t2bPH6lJchtsHSs6E3FNgYKACAwMfev2ioiJFRkaqW7duDVgVAMAMerL3cvtL3jVnQqmpqR57JuTK3n//fdntdvn5+Sk0NFRDhw5VWVnZPesdOXJELVq00JIlSyTde8m7NtHR0UpPT9e+fftks9kUHR0tSbLZbPrggw+c1m3WrNl9J481l79tNptycnKUk5PjWAYA1I/66MkP6itHjhzRc88957hKNXjwYBUUFDhed7/bnL755hvZbDanSeLp06c1atQoBQcHKygoSFFRUSoqKnI8n5WVpcjISP3gBz/Qj370I7311luO52r6Rlpamvbu3etYvnTpUp3eqydx6wklZ0LWKikp0bhx47R06VL98pe/1M2bN5WXlyfDMJzWy83NVWxsrJYuXaopU6Y88n42bdqkWbNm6dNPP9WmTZvk6+v7yNsIDw9XSUmJJCk5OVmStHLlykfeDgDg/uqjJ9fWV27evKkJEyYoIyNDhmEoPT1dI0eOVGFhoYKCgh5q+19++aV+8pOfKDo6Wrm5uQoODtaBAwdUWVkpSXr33Xc1b948rVq1Sj179tTx48f14osvKiAgQBMmTHD0kWXLlungwYPatGmTJKlFixZ1er+exK0DpTfcp+HKSkpKVFlZqdjYWEVEREiS7Ha70zqbN29WfHy8srKyNHbs2Drtp3nz5vL395evr69at25dp234+Pg4Xuvn5ydJdd4WAOBe9dGTa+srzz77rNO6a9asUbNmzbR3716NGjXqoba/evVqhYSEaP369WrSpIkkqXPnzo7n58+fr/T0dMXGxkqSOnTooDNnzujtt9/WhAkTHH0jMDDQVE/yRG57yZvppPV69OihIUOGyG63Ky4uTpmZmbp+/brj+fz8fMXFxWndunV1DpMAANdXXz25tr7y1Vdf6cUXX1SnTp0UEhKi4OBglZaWqri4+KG3f+LECUVFRTnC5HeVlZWpqKhIkyZNctznHxgYqAULFjhdEsf9ue2Ekumk9Xx8fLRz504dPHhQO3bsUEZGhv7whz8oPz9fkvTUU08pNDRU77zzjn72s5/d939gM2w22z2X12/fvl2v+wAAfL/66sm19ZWpU6fq2rVrWrlypSIiItS0aVMNGDBAFRUVkqRGje7MyL7bF+7uCTVXqO6ntLRUkpSZmal+/frdUxdq55YTSqaTrsNms2nQoEFKS0vT8ePH5evrq82bN0uSwsLClJubq/Pnz+tXv/pVvYe9Fi1aOO5nkaTCwkKVl5fX6z4AALWr7578oL5y4MABJSUlaeTIkeratauaNm2qq1evOl5Xcx/jd/vC3b+HuHv37srLy7tvP2rVqpXatm2rCxcuqGPHjk5/OnToYPp9eTq3nFAynXQN+fn52rVrl4YNG6aWLVsqPz9fV65cUWRkpE6ePClJatmypXJzc/XTn/5U48aN0/r169W4cf187J599lmtWrVKAwYMUFVVlWbOnFnvU1AAQO3qsyfX1lc6deqkdevWqU+fPrpx44Z+97vfOU0c/fz81L9/fy1evFgdOnTQ5cuXNWfOHKftJyYmKiMjQ7/+9a81e/ZshYSE6NChQ+rbt6+6dOmitLQ0JSUlKSQkRDExMbp165aOHj2q69ev69VXXzX13jyd200omU66juDgYO3bt08jR45U586dNWfOHKWnp2vEiBFO67Vu3Vq5ubk6deqUnn/+eVVVVdXL/tPT0xUeHq6oqCj95je/0YwZM+Tv718v2wYAfL/67sm19ZW//e1vun79unr16qXx48crKSlJLVu2dHr9O++8o8rKSvXu3VspKSlasGCB0/OhoaHKzc1VaWmpBg8erN69eyszM9MxjJg8ebKysrK0du1a2e12DR48WNnZ2UwoH4LNuPsmNBe3fft2xcTEaNu2bRo+fLjV5cAN8U05j1dBQYF69+6tY8eOqVevXlaXAwuEh4frhRdeUFpamtWloJ55a0+uyzflePqx0K0ueTOdRH3g908CgHne3JNnzJihpKQkq8twKW4VKLl3EvXBzPeAAwDu8Oae/ChfHewt3OYeSm8+EwIAwJXQk3E3t5lQevOZEAAAroSejLu5xYSSMyEAAFwDPRn34xYTSs6EAABwDfRk3I/LTyg5EwIAwDXQk/EgLj+h5EwIAADXQE/Gg7j0hJIzIQAAXAM9GbVx6QklZ0IAALgGejJq47KBsuZM6KmnnlJYWJgKCgqsLglAHZw9e9bqEgCYRE82z9OPhS4bKCsqKvTFF1/oiy++UJ8+fawuB4AJ/v7+CgsLs7oMAHVET64fnnwsdNlA2bRpUx08eFBXrlyxuhQAJoWFhal9+/ZWlwGgjujJ9cOTj4UuGyglKTw8XOHh4VaXAQCA16MnozYu/a+8AQAA4PoIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTCJQAAAAwhUAJAAAAUwiUAAAAMIVACQAAAFMIlAAAADCFQAkAAABTGltdAADAs82ZM0fdunWzugwADchmGIZhdREAAABwX1zyBgAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKQRKAAAAmEKgBAAAgCkESgAAAJhCoAQAAIApBEoAAACYQqAEAACAKf8DzqvGmn6/F1IAAAAASUVORK5CYII=", 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", 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" ] @@ -286,9 +286,9 @@ "outputs": [ { "data": { - "image/png": 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RiPDwcGFubi727dtX4Zioeti0aZNQKBRi4sSJlbopQ585ePDgQWFpaSmGDBnCa5RruJycHOHu7i5cXFzEzZs3K9yOPvPvwYMHokePHqJOnTri4sWLFY6JqoeFCxcKAGLJkiWVakefObh27VoBQMycObNSMVHpWISKx8VeRESEMDc3F3v37q1UWxs2bBCWlpYiNjZWXLx4Ubz11lvCwcGhwhc4FxQUVOgGFapeim9IGzRoUKWLPX3n4E8//VTuG1SoetHnDWn6zr/iG1RcXV3LdYMKVS/6vCFN3zm4YMECAUB89dVXlY6NdLEIFULMnDlTABBr167VS3v//e9/haurq7CwsBCdO3eu9JxjFZ2qh6qHixcvijp16uh1ai595+B///tfAUDExMToJT4yHFUxNZe+8+/PP/8UjRs3LvdUPVQ97Nu3T5ibm4vw8HC9Tc2lzxzUaDRiwoQJwsTERGzdulUv8dFjRl+ELlu2TAAQCxYskDuUZyqetFylUonbt2/LHQ7pya1bt4Srq2u1+JKCqVOnlmvScqoeqsuXFFRk0nIyfE9+SUFBQYHc4TxVUVGRGDBggLCyshJHjhyRO5waw6iL0C1btggTExMxYcKEajExcvHXN3br1o2T2dcAxV/X2rhxY/Hnn3/KHc5zqdVqERYWVq6vbyTD9vnnnwsA4r///a/coZRJRb6+kQxXdfu61gcPHgg/Pz9Rr149cenSJbnDqRGMtgg9cuSIqFWrlhgwYECZJ6M3BEePHhVWVlYiNDS0WsVNuh49eiReeuklYW9vL86dOyd3OGX26NEjERAQUO3ippI2bNggAIipU6fKHUq5bNy4USgUCvH+++/LHQpVwu3bt4VKpRJubm4iPT1d7nDK7M6dO6JNmzbVLm5DZZRF6KVLl0TdunWFn59ftTyjuHXrVmFiYiLGjRtXLc7gki61Wi2GDx9ebc8oFp/BbdSokUhLS5M7HKqA/fv3CwsLCxEWFlYtzyguWrRIABBffPGF3KFQBTx48EB069at2p5RrG5ncA2Z0RWhf/31l3BzcxNt2rQRd+7ckTucCvvqq68EADF//ny5Q6Fyev/996v9tZW3bt0STZo0qRbXspKus2fPCnt7exEQEFCtr62MjIwUCoVC/Pjjj3KHQuVQVFQkQkNDhZWVlTh69Kjc4VTYk9eyVufXkdyMqgi9e/eu6NChQ405g/Phhx8KAGLNmjVyh0Jl9MUXXwgAYtGiRXKHUmkpKSmibt26er2rn6pWWlqaaNSokejQoUO1v8tcrVaLoUOHCktLS3HgwAG5w6Ey0Gg0Yty4cTXmLvNff/1VmJubixEjRvBTyQoymiK0+Fo2Ozs7cfbsWbnD0QuNRiNGjRolzMzMxO7du+UOh57jxx9/rHHzbRbPbzpw4MBq+bGuMblz545o27ataNKkifjrr7/kDkcvHj58KHr16iUcHBzE+fPn5Q6HnmP+/Pk1br5Nfc5vaoyMogjVaDTau3p//fVXucPRq4KCAtGnTx9ha2srkpKS5A6HnuLAgQPC0tJSDB06tMYVa5s3bxYmJibivffe49kAA/XgwQPRvXt3UbduXZGSkiJ3OHqVk5Mj2rdvX21mmTBWa9asEQDEhx9+KHcoehcdHa2Xb3oyRkZRhE6bNk0AEBs2bJA7lCpx//590bFjR6FUKkVqaqrc4dA/nD9/Xjg4OIhevXqJhw8fyh1Olfjyyy8FALFw4UK5Q6F/UKvVYsCAAaJWrVrit99+kzucKlE83267du14jbIB2r17tzAzMxOjRo2qsW9U//3vfwuFQiE2bdokdyjVSo0vQpcsWSIAiM8//1zuUKpUZmamaN68uWjVqpXIysqSOxz6/27evCkaN24s2rdvL3JycuQOp0pNnz5dABDff/+93KHQ/6fRaMR7770nTExMxObNm+UOp0oVf/OYv79/jX2zVx2dPn1a1K5dW/Tp08egJ6OvLLVaLQYNGiRq1aolDh8+LHc41UaNLkI3bdokFAqFmDRpktyhSOLq1avCyclJ+Pr6ivz8fLnDMXo5OTnC3d3daL7zWqPRiPDwcGFubi727dsndzgkhFi4cKEAIJYtWyZ3KJI4dOiQsLS0FEOGDKlxl71UR6mpqUKpVIqOHTuK+/fvyx1OlXv48KHw9/cXderUERcvXpQ7nGqhxhahxYPR4MGDjWowOn78uLC2thYhISGczF5GDx8+FD179jS6waigoEAEBgYKOzs7cebMGbnDMWrff/+9ACBmzJghdyiS+vnnn4VCoRCTJ0+WOxSjlpWVJVq1aiWaN28uMjMz5Q5HMtnZ2aJdu3ZGc/KhshRCCIEa6NVXX8X27dsBAAqFQuZopFX8X3rq1Cl4e3vLHI1x2r17NwIDAwEYb/6NHDkSsbGx8gZjxFq1aoUrV64AMM4cNDU1RWZmJurVqyd3OEZp6dKlGDduHADjzD8A+M9//oMZM2bIHI1hq7FF6Pnz53HkyBHZ+p8wYQKCg4Px8ssvy9K/paUlwsPDje7FbyjUajW+/fZbaDQaWfrfsmULTpw4gblz58rSPwD06tULLVq0kK1/Y/fbb7/hwoULsvR97949TJkyBe+88w48PDxkiaF+/foICQmRpW8C7t69i40bN8rW/9dff438/HxMnDhRthj69+8PJycn2fqvDmpsESo3Ozs7REVFYdKkSXKHQkZo5syZWLduHVJTU+UOhYxQZmYmlEol4uLiEBwcLHc4ZIQGDx6M7Oxs7N69W+5Q6BlM5A6AiIiIiIwPi1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHIvQauz69etQKBRITk5+6joJCQlQKBTIycmRLC4yDsw/khtzkOTE/Ks8FqE1nK+vL9LT02Fvbw8AiI2NhYODg7xBkdFg/pHcmIMkJ+bfs5nJHQBVLQsLCyiVSrnDICPF/CO5MQdJTsy/Z+OZUBnl5eUhPDwctra2cHZ2RnR0NPz9/bVfM6ZQKLBlyxadbRwcHEp8H/elS5fg6+uLWrVqoV27djhw4ID2sSc/CkhISMCoUaNw9+5dKBQKKBQKREVFVe1OksFi/pHcmIMkJ+af/FiEymjKlCk4cOAAtm7dit27dyMhIQFJSUkVamfy5Mk4ffo0fHx8EBwcjNu3b5dYz9fXF4sWLYKdnR3S09ORnp6OyMhIfewKVUPMP5Ibc5DkxPyTH4tQmeTm5mLlypVYuHAhXnrpJbi7u2P16tUoKioqd1vjxo1DaGgoVCoVli1bBnt7e6xcubLEehYWFrC3t4dCoYBSqYRSqYStra0+doeqGeYfyY05SHJi/hkGFqEyuXbtGgoKCtClSxftsrp166JVq1blbsvHx0f7u5mZGTp27IiUlBS9xEk1E/OP5MYcJDkx/wwDi1ADplAoIITQWVZYWChTNGRsmH8kN+YgyYn5V/VYhMqkefPmMDc3x/Hjx7XLsrOzceXKFe3fTk5OSE9P1/599epV5Ofnl2jr2LFj2t+LioqQmJgIlUpVar8WFhZQq9X62AWqxph/JDfmIMmJ+WcYOEWTTGxtbTF69GhMmTIF9erVQ/369TFjxgyYmPzf+4JevXphyZIl8PHxgVqtxtSpU2Fubl6iraVLl6Jly5ZQqVSIiYlBdnY2Xn/99VL7dXNzQ25uLvbt2wcPDw9YW1vD2tq6yvaTDBPzj+TGHCQ5Mf8MA8+Eyuizzz6Dn58fgoODERAQgG7dusHb21v7eHR0NFxcXODn54dhw4YhMjKy1GSdN28e5s2bBw8PDxw+fBhxcXFwdHQstU9fX1+MHTsWgwcPhpOTExYsWFBl+0eGjflHcmMOkpyYf/JTiH9e8EB6YWdnh6ioKEyaNKlc2/n7+6NDhw5YtGhR1QRGRmHmzJlYt24dUlNTy7Ud84/0ITMzE0qlEnFxcQgODi7XtsxB0ofBgwcjOzsbu3fvLtd2zD9p8UwoEREREUmORSgRERERSY43JhmYhIQEuUMgI8b8I7kxB0lOzD9p8UwoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJzkzuAKpSWloasrKyZOm7Q4cOKCwsRFJSkiz9A4CjoyNcXV1l69/YyZl/pqamaN26NfPPyMmVg/fu3UOnTp1w+/Zt5qARk3MMrFu3LmrVqsX8M3AKIYSQO4iqkJaWBpVKhfz8fLlDkY21tTVSUlL4IpAB84/5JzfmIHNQTsw/5l9Z1NgzoVlZWcjPz8fatWuhUqnkDkdyKSkpCAsLQ1ZWFl8AMmD+Mf/kxhxkDsqJ+cf8K4saW4QWU6lU8PLykjsMMlLMP5Ibc5DkxPyjZ+GNSUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDmjKEIvX74MpVKJ+/fvyx2KwSooKICbmxtOnToldyhERERkBAy6CI2IiIBCoYBCoYC5uTmaNm2K999/Hw8fPixXOx988AHGjx+P2rVrV1Gk1cPSpUvh5uaGWrVqoUuXLjhx4oT2MQsLC0RGRmLq1KkyRkiVERERgZCQkBLLExISoFAokJOTI3lMZFyYgyQn5l/1Y9BFKAAEBQUhPT0df/zxB2JiYrB8+XLMnj27zNunp6cjPj4eERERVRdkNbBx40ZMmjQJs2fPRlJSEjw8PBAYGIi///5bu87w4cNx+PBhXLhwQcZIiYiIyBgYfBFqaWkJpVIJFxcXhISEICAgAHv27AEAfPfdd7C1tcXVq1e167/zzjto3bo1Hjx4AADYs2cPPDw80KhRI+06sbGxcHBwQHx8PFq1agVra2sMGDAA+fn5WL16Ndzc3FCnTh1MmDABarVau92aNWvQsWNH1K5dG0qlEsOGDdMp4orfbe3btw8dO3aEtbU1fH19cfny5Uo/D1FRUejQoQPWrFkDNzc32NvbY8iQIWW+xODzzz/Hm2++iVGjRqFNmzb46quvYG1tjVWrVmnXqVOnDrp27YoNGzZUOl4iIiKiZzH4IvRJ58+fx5EjR2BhYQEACA8PxyuvvILhw4ejqKgI27dvx4oVK7Bu3TpYWVkBAJKTk9GxY8cSbeXn52Px4sXYsGEDdu3ahYSEBPTv3x87duzAjh07sGbNGixfvhw//fSTdpvCwkJ88sknOHPmDLZs2YLr16+XeoZ1xowZiI6OxqlTp2BmZobXX39dL/t/7do1bNmyBfHx8YiPj8eBAwcwb968525XUFCAxMREBAQEaJeZmJggICAAR48e1Vm3c+fOOHTokF7iJSIiInoaM7kDeJ74+HjY2tqiqKgIjx49gomJCZYsWaJ9fPny5Wjfvj0mTJiATZs2ISoqCt7e3khKSgLw+OP4l156qUS7hYWFWLZsGZo3bw4AGDBgANasWYPMzEzY2tqiTZs26NmzJ/bv34/BgwcDgE4x2axZMyxevBidOnVCbm4ubG1ttY/NmTMHPXr0AABMmzYNffv2xcOHD1GrVq1KPRcajQaxsbHaa1tHjBiBffv2Yc6cOc/cLisrC2q1Gg0aNNBZ3qBBA1y6dElnWcOGDXHjxo1KxUnyKX69POnJs/lEVY05SHJi/lUvBl+E9uzZE8uWLUNeXh5iYmJgZmaG0NBQ7eN16tTBypUrERgYCF9fX0ybNk1n+0ePHpVa/FlbW2sLUOBxQebm5qaTvA0aNND5uD0xMRFRUVE4c+YMsrOzodFoAABpaWlo06aNdr327dtrf3d2dgYA/P3333B1da3o0wAAcHNz07m5ytnZWSc+fbCyskJ+fr5e2yTpFL9ennT8+HGEhYXJFBEZG+YgyYn5V70YfBFqY2ODFi1aAABWrVoFDw8PrFy5EqNHj9auc/DgQZiamiI9PR15eXk6hZqDgwOys7NLtGtubq7zd/Ed+P9cVlxo5uXlITAwEIGBgVi3bh2cnJyQlpaGwMBAFBQUPLVthUIBANp2KuNZ8T2Lo6MjTE1NkZmZqbM8MzMTSqVSZ9mdO3fg5ORU6VhJHk++XordvHlTpmjIGDEHSU7Mv+qlWl0TamJigunTp2PmzJnaG4+OHDmC+fPnY9u2bbC1tcW4ceN0tmnVqhUuXrxY6b4vXbqE27dvY968efDz80Pr1q31fhayqlhYWMDb2xv79u3TLtNoNNi3bx98fHx01j1//jw8PT2lDpGIiIiMTLUqQgFg4MCBMDU1xdKlS3H//n2MGDECEyZMQJ8+fbBu3Tps3LhR52YiHx8fHD16tNLXhLi6usLCwgL//e9/8ccffyAuLg6ffPJJZXdHMpMmTcI333yD1atXIyUlBW+//Tby8vIwatQonfUOHTqE3r17yxQlERERGYtqV4SamZlh3LhxWLBgASZMmAAbGxvMnTsXAODu7o65c+dizJgx2rOUvr6+MDMzw969eyvVr5OTE2JjY/Hjjz+iTZs2mDdvHhYuXFjp/ZHK4MGDsXDhQsyaNQsdOnRAcnIydu3apXOz0tGjR3H37l0MGDBAxkiJiIjIGCiEEELuIKpCUlISvL29kZiYiKNHjyIuLg6//PKL3GFJ5sn99/LyKtM2gwcPhoeHB6ZPn17F0dV8FXn+axJj339DYOz/B8a+/3Iz9uff2Pe/rAz+xiR9GDNmDHJycnD//n2j/+rOpykoKIC7uzv+/e9/yx0KERERGQGjKELNzMwwY8YMucNA27ZtnzoHp5OTE/73v/+V+tjy5csxfPjwp7b7zymigP+7G79bt264dOnSc6eHsrCwwMyZM5+5DhEREZG+GEURaih27NiBwsLCUh8zNzd/6mP/nGT+nxo2bIjk5GSdZRcuXEBISAjWr1+Phg0bViheIiIioqrCIlRCTZo0qZJ2zczMSsyLdu/ePQCAi4sLzMz430xERESGpdrdHU9ERERE1R+LUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIiklyNn0AyJSVF7hBkYaz7bWiM9f/BWPfbEBnr/4Wx7rehMdb/B2Pd7/KqsUWoo6MjrK2tERYWJncosrG2toajo6PcYRgl5h/zT27MQeagnJh/zL+yUAghhNxBVJW0tDRkZWXJ0refnx/GjBkj6wvQ0dHxud8ZT1VHzvxbunQpdu7cifj4eFn6B5h/hkCuHLx9+zZ69+6NmJgYdO/eXfL+izEH5SXnGDht2jTcu3cPX375pSz9A8y/sqixZ0IBwNXVVbYEMDU1RePGjeHl5SVL/yQ/OfPP2dkZlpaWzD8jJ1cOZmZmAgCaN2/OHDRico6BderUAQDmn4HjjUlEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORah1dj169ehUCiQnJz81HUSEhKgUCiQk5MjWVxkHJh/JDfmIMmJ+Vd5LEJrOF9fX6Snp8Pe3h4AEBsbCwcHB3mDIqPB/CO5MQdJTsy/Z6vR84QSYGFhAaVSKXcYZKSYfyQ35iDJifn3bDwTKqO8vDyEh4fD1tYWzs7OiI6Ohr+/PyZOnAgAUCgU2LJli842Dg4OiI2N1Vl26dIl+Pr6olatWmjXrh0OHDigfezJjwISEhIwatQo3L17FwqFAgqFAlFRUVW7k2SwmH8kN+YgyYn5Jz8WoTKaMmUKDhw4gK1bt2L37t1ISEhAUlJShdqZPHkyTp8+DR8fHwQHB+P27dsl1vP19cWiRYtgZ2eH9PR0pKenIzIyUh+7QtUQ84/kxhwkOTH/5MciVCa5ublYuXIlFi5ciJdeegnu7u5YvXo1ioqKyt3WuHHjEBoaCpVKhWXLlsHe3h4rV64ssZ6FhQXs7e2hUCigVCqhVCpha2urj92haob5R3JjDpKcmH+GgUWoTK5du4aCggJ06dJFu6xu3bpo1apVudvy8fHR/m5mZoaOHTsiJSVFL3FSzcT8I7kxB0lOzD/DwCLUgCkUCgghdJYVFhbKFA0ZG+YfyY05SHJi/lU9FqEyad68OczNzXH8+HHtsuzsbFy5ckX7t5OTE9LT07V/X716Ffn5+SXaOnbsmPb3oqIiJCYmQqVSldqvhYUF1Gq1PnaBqjHmH8mNOUhyYv4ZBk7RJBNbW1uMHj0aU6ZMQb169VC/fn3MmDEDJib/976gV69eWLJkCXx8fKBWqzF16lSYm5uXaGvp0qVo2bIlVCoVYmJikJ2djddff73Uft3c3JCbm4t9+/bBw8MD1tbWsLa2rrL9JMPE/CO5MQdJTsw/w8AzoTL67LPP4Ofnh+DgYAQEBKBbt27w9vbWPh4dHQ0XFxf4+flh2LBhiIyMLDVZ582bh3nz5sHDwwOHDx9GXFwcHB0dS+3T19cXY8eOxeDBg+Hk5IQFCxZU2f6RYWP+kdyYgyQn5p/8FOKfFzyQXtjZ2SEqKgqTJk0q13b+/v7o0KEDFi1aVDWBkVGYOXMm1q1bh9TU1HJtx/wjfcjMzIRSqURcXByCg4PLtS1zkPRh8ODByM7Oxu7du8u1HfNPWjwTSkRERESSYxFKRERERJLjjUkGJiEhQe4QyIgx/0huzEGSE/NPWjwTSkRERESSYxFKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkjOTO4CqlJaWhqysLFn6btq0KfLy8pCUlCRL/wDg6OgIV1dX2fon+VhZWaFx48Zyh0Eyk2sMzMnJQcuWLZGRkcExkIieqsYWoWlpaVCpVMjPz5cthrNnz2LWrFmy9W9tbY2UlBQOwkbowYMHuHnzptxhkIwMYQx86623ZOsb4BhIZOhqbBGalZWF/Px8rF27FiqVSu5wJJeSkoKwsDBkZWVxACYyQhwDOQYSGboaW4QWU6lU8PLykjsMIiJZcAwkIkPFG5OIiIiISHIsQomIiIhIcixCiYiIiEhyLEKJiIiISHIsQomIiIhIcixCiYiIiEhyLEKJiIiISHIsQolqmOTkZCQlJeHu3bv4+uuvkZycLHdIREREJbAIJaoB1Go11q5di86dO8PT0xM7d+5EdnY2xowZA09PT3Tu3Blr166FWq2WO1QiIiIARlCE5uTkoH79+rh+/brcoRi0IUOGIDo6Wu4wqAIePHiA0NBQjBgxAomJiaWuk5iYiBEjRmDAgAF48OCBxBHWDLdv3+ZYQnrh5uaGRYsW6aWtixcvonHjxsjLy9NLe0RSMugiNCIiAgqFAgqFAubm5mjatCnef/99PHz4sMxtrFq1Cq+99hrc3NyqLlADd+HCBYSGhsLNzQ0KhaLUwW/mzJmYM2cO7t69K32AVGFqtRpDhw7Ftm3bAAAajabU9YqXx8XFYdiwYUZ3RlQfY8mcOXOMfiwxNLm5uYiOjka3bt2gVCrRqFEj9OrVC8uXL0dRUZHBtFkZDx8+xLvvvot69erB1tYWoaGhyMzM1D7epk0bvPjii/j8888lj42osgy6CAWAoKAgpKen448//kBMTAyWL1+O2bNnl3n7LVu2YPTo0VUYoeHLz89Hs2bNMG/ePCiVylLXadeuHZo3b461a9dKHB1Vxvr167F169anFp//pNFosGXLFqxfv76KIzM8lRlL8vPzsXLlykqPJWq1usz/V1WhoKBAtr714cn4ExMT0aZNG2zZsgVvvvkm4uLiEB8fj5EjRyI2Nhbh4eHlbv95bXbq1Al///23Pnfpuf79739j27Zt+PHHH3HgwAH89ddf+Ne//qWzzqhRo7Bs2TJZimSiShEGbOTIkeK1117TWfavf/1LeHp6CiGEmD17tgBQ4ufbb78ViYmJAoCoU6eOzvb79+8XAMSuXbtEhw4dRK1atUTPnj1FZmam2LFjh2jdurWoXbu2GDp0qMjLy9Nut3PnTtG1a1dhb28v6tatK/r27St+//137eOpqakCgPj555+Fv7+/sLKyEu3btxdHjhyp9PPw7bffCnt7e7Fr1y7RunVrYWNjIwIDA8Vff/311G2K9z8xMVFneZMmTURMTEyp23z00UeiW7dulY6XpNOpUydhYmJS6uvgaT8mJiaiU6dOcocuqcqMJUII8eOPPwonJyed7YvHkvj4eOHu7i4sLS1Fly5dxLlz57TrFL92t27dKlQqlTA1NRWpqani4cOHYvLkyaJhw4bC2tpadO7cWezfv7/Edps3bxYtWrQQlpaWonfv3iItLU27zu+//y769esn6tevL2xsbETHjh3Fnj17tI8XjwFjx44VI0aMELVr1xYjR44UQghx6NAh0a1bN1GrVi3RuHFjMX78eJGbm6vddunSpdp+69evL0JDQyvz9AshhOjRo4cYP368mDJliqhTp45o0KCBmD179jO3Kf5/+89//iOcnZ2Fm5ubEEKI69evi/r164uvv/661O00Go144403BABx7Ngx7bLZs2cLFxcXYWFhIZydncX48eO125SlzQ8//FB4eXmJgoIC7XIA4ptvvhEhISHCyspKtGjRQmzduvWZ+/WscfhJOTk5wtzcXPz444/aZSkpKQKAOHr0qHbZo0ePhKWlpdi7d+9z2zQWgwYNEi+//LLcYdBzGPyZ0CedP38eR44cgYWFBQAgMjIS6enp2p+FCxfC2toaHTt21G6jUqlKbSsqKgpLlizBkSNH8Oeff2LQoEFYtGgRvv/+e2zfvh27d+/Gf//7X+36eXl5mDRpEk6dOoV9+/bBxMQE/fv3L3FWY8aMGYiMjERycjJeeOEFDB06VC/vTvPz87Fw4UKsWbMGBw8eRFpaGiIjIyvd7pM6d+6MEydO4NGjR3ptl6pGcnIyTp48We4zaxqNBidPnjTqu+bLO5YcOnQI3t7epbY1ZcoUREdH4+TJk3ByckJwcDAKCwu1j+fn52P+/PlYsWIFLly4gPr162PcuHE4evQoNmzYgLNnz2LgwIEICgrC1atXdbabM2cOvvvuO/z222/IycnBkCFDtI/n5ubilVdewb59+3D69GkEBQUhODgYaWlpOvGtWbMGHh4eOH36ND788ENcu3YNQUFBCA0NxdmzZ7Fx40YcPnwY48aNAwCcOnUKEyZMwMcff4zLly9j165d6N69u16e99WrV8PGxgbHjx/HggUL8PHHH2PPnj3P3Gbfvn24fPky9uzZg/j4eADAtGnTMGrUKLz55pu4efMmXn31VdSvXx+BgYH45JNP8Pbbb+Ptt98GAOzcuRMA8PPPP2vPgF+9ehVbtmyBu7u7tp+ytPnxxx/DxsamxCdGH330EQYNGoSzZ8/ilVdewfDhw3Hnzp1KP1+JiYkoLCxEQECAdlnr1q3h6uqKo0ePapdZWFigQ4cOOHToUKX7JJKSmdwBPE98fDxsbW1RVFSER48ewcTEBEuWLAEA2NrawtbWFgBw7NgxzJw5E6tXr0a7du2QlJQEAHByciq13f/85z/o2rUrAGD06NH44IMPcO3aNTRr1gwAMGDAAOzfvx9Tp04FAISGhupsv2rVKjg5OeHixYto166ddnlkZCT69u0L4PHA1LZtW/z+++9o3bp1pZ6HwsJCfPXVV2jevDkAYNy4cfj4448r1eY/NWzYEAUFBcjIyECTJk302jbp34kTJyq1/csvv4zatWvrKRrD9r///Q+5ubkwMXn8vlsIAeBxQV78mi/28OFDZGRkwNHREf369QMAZGZmwsTERGfd4hu8srKyMGbMGACPP27/888/0ahRI9ja2uL+/fsoLCzE9evXERYWBgAoKirCn3/+CRcXF4wcOVLbnkKhQKdOnVC3bl3tdrdu3cLw4cMBPP4o+tatW2jUqBEsLS1L3U+1Wg0vLy/Y2dlpY+/UqRMmT56sXeeNN97A8OHDMXHiRABAy5YtsXjxYvTo0QPLli1DWloabGxs8Oqrr6J27dpo0qQJPD09K/Csl9S+fXvtJRAtW7bEkiVLsG/fPrz88stP3cbGxgYrVqzQvmHIzc3F9u3bkZqaCgAYOXIkbG1tsWvXLqSkpGDs2LE643VxsZaWlgalUomAgACYm5vD1dUVnTt3LnebI0eOxC+//IJRo0Zp+4iIiMDQoUMBAHPnzsXixYtx4sQJBAUFVer5ysjIgIWFBRwcHHSWN2jQABkZGTrLGjZsiBs3blSqPyKpGXwR2rNnTyxbtgx5eXmIiYmBmZlZiYIwLS0NISEhiIyMxKBBg3QeKx64/ql9+/ba3xs0aABra2udA0yDBg10DvJXr17FrFmzcPz4cWRlZWnPPqWlpekUoU+26+zsDAD4+++/K12EWltbawvQ4rb1fW2SlZUVgMdnYMjw3b9/H6amphW6yUihUKB9+/bo0qVLFURmeOLj43H//n0EBgaisLAQJ0+ehImJCV555RWd9e7evYvVq1fDx8cHPXr00C7fsGED6tSpg8DAQO2yGzdu4Pvvv8fAgQNhb2+vXb5q1Sq0bNkSfn5+OHv2LHbt2oXw8HAoFAoAwO+//44///yzRBGhVqvRtGlThISE4OzZs9i5cydGjhyp3Q4AYmJi4Onpifbt26OgoACHDh3CtWvXkJubC41Gg6KiIrRo0QK9evVCo0aNADy+ceVJZ86cwdmzZ7Fu3TrtMiEENBoNUlNT8fLLL6NJkyZo1qwZgoKCEBQUhP79+8Pa2rqiT7/Wk+MjULZxzN3dXWccv3LlCtzc3FCvXj3k5eXh119/xa1bt9CwYUN4eXkhISFB50z0vXv3AAADBw7EokWLtPv1yiuvIDg4GGZmZuVq09nZGdnZ2U/dLxsbG9jZ2Ul+7aiVlRXHbqp2DL4ItbGxQYsWLQA8Htw9PDx0bhDIy8tDv3794OPjU+qZweIB6J/Mzc21vxffMfskhUKh8zFncHAwmjRpgm+++QYNGzaERqNBu3btSlzo/892gaffsVwepcVXfDZHX4o/Pnra2WMyLLVr167wXe5CCAwePBhvvfWWnqMyTH/99RdycnLw1VdfAXj8mvTw8EDz5s11xpKuXbvi5ZdfxqZNm3SKvxs3bkAIgblz52qXJSQk4Pvvv8fUqVPh6uqqXb5z504EBARg9uzZiI2NxeHDh/Hpp59qH9+4cSM2bdqEc+fOwdTUVCdOW1tbKJVKxMbG4pdffsGcOXO0Z28BYNmyZRg4cCBGjhyJsWPHIisrC9988w1atGgBKysrDBgwAC+++CLmzp2r/TSo+M1lsdzcXIwZMwYTJkwo8Ty5urrCwsICSUlJSEhIwO7duzFr1ixERUXh5MmTJc7IldfzxtnS2NjY6PxdVFSk3afiwvDJdWxtbXWKRBcXF+2/ly9fxt69e7Fnzx688847+Oyzz3DgwIFytZmUlKQ9JlVmv8pCqVSioKAAOTk5Os99ZmZmiZtM79y5o3Oigqg6qFbXhJqYmGD69OmYOXMmHjx4ACEEwsLCoNFosGbNGp2DRrHij1cq4/bt27h8+TJmzpyJl156CSqVqsQ74Zrg/PnzaNy4MRwdHeUOhcqg+KNEubavzso7lnh6euLixYultnXs2DHt79nZ2bhy5cpTr0UvbkutVuPvv/9GixYtdH6eLCyKiopw6tQp7d+XL19GTk6Otu3ffvsNERER6N+/P9zd3aFUKss0h6mXlxcuXrxYou8WLVpozziamZkhICAACxYswNmzZ3H9+nX8+uuvz21bCs2aNcOVK1dQWFgIBwcHtG3bFnPmzEFhYSEuXbqEDRs2QKPRaK+PHDx4sHZbKysrBAcHY/HixUhISMDRo0dx7ty5Mre5fft2LF26VHv9bFXz9vaGubk59u3bp112+fJlpKWlwcfHR2fd8+fP6+2yCSKpVKsiFHj8kYqpqSmWLl2KqKgo7N27F8uXL0dubi4yMjKQkZGhMxn3tWvXKl0w1qlTB/Xq1cPXX3+N33//Hb/++ismTZpU2V2RTEFBAZKTk5GcnKy9riw5ORm///67znqHDh1C7969ZYqSyqtDhw7o1KmTzpmysjAxMUGnTp3QoUOHqgmsmijPWBIYGIgLFy6UOpZ8/PHH2LdvH86fP4+IiAg4OjoiJCTkqf2+8MILGD58OMLDw7Fp0yakpqbixIkT+PTTT7F9+3bteubm5hg/fjyOHz+OxMRERERE4MUXX9S+eWjZsiU2bdqE5ORknDlzBsOGDSvT2bepU6fiyJEjGDduHJKTk3H16lVs3bpVW1jFx8dj8eLFSE5Oxo0bN/Ddd99Bo9GgVatW5Xl6KyQ8PBwffPDBM9dxdHRE+/bttTcHffvtt1i/fj2srKwQEBCAfv36Ye3atdqz3k2bNgUAxMbGYuXKlTh//jz++OMPrF27FlZWVmjSpEmZ25w1axZ++OGHZ77JKE3r1q2xefPm8j4dsLe3x+jRozFp0iTs378fiYmJGDVqFHx8fPDiiy9q17t+/Tpu3bqlcwMTUXVQ7YpQMzMzjBs3DgsWLMCOHTuQm5sLX19fODs7a382btyoXb9169b44YcfKtWniYkJNmzYgMTERLRr1w7//ve/8dlnn1V2VyTz119/wdPTE56ento7fz09PfHGG29o13n48KF2bjyqPiZMmFChu+NL+yjW2JRnLHF3d4eXl1epY8m8efPw3nvvwdvbGxkZGdi2bdtTr0Uv9u233yI8PByTJ09Gq1atEBISgpMnT+p8rG9tbY2pU6di2LBh6Nq1K2xtbXXGts8//xx16tSBr68vgoODERgYCC8vr+fud/v27XHgwAFcuXIFfn5+8PT0xKxZs9CwYUMAgIODAzZt2oRevXpBpVLhq6++wvr169G2bdsyPa+VkZaWhvT09Oeu9+mnnyIyMhJJSUno1KkT0tLSkJaWhuvXryM6Ohp37tzRueYVeLxf33zzDbp27Yr27dtj79692LZtG+rVq1fmNhMTE+Hn51fu/bp8+XKFvwgkJiYGr776KkJDQ9G9e3colUps2rRJZ53169ejd+/evKGUqh8Zp4eqUsVz5C1atEioVCqhVqvlDklST5sn9Gm+/PJLzqlWDRUVFYmQkJAyzxVqYmIi+vfvL4qKiuQOvdqJj4/XGUuK5wnNzs7We1/F84RWRnnHgOomNjZW2Nvbiw8//FBcvXpVaDQaUVhYKH777Tfx6quvikmTJpV7/5/X5ueff16Fe1Qxjx49Eq6uruLw4cNyh2JQOE9o9VDtzoSWl5+fH9566y3cunVL7lAMmrm5uc68qFQ9mJqa4vvvv9dOx/O0j+aLl/fr1w/r1q0rcUMMPV/fvn05lhiQkSNH4uDBg7h48SI8PDxgYWEBS0tLhIWFoVu3biVmStFHm++++24V7EnlpKWlYfr06dopB4mqE4O/O14fiufDk1OfPn2eOpFwXl5eiTtAi02fPh3Tp09/ZtvFc6U+qfgj2tOnT5fpI7onP5qn6sXKygo//fQT1q9fj8WLF+PkyZMl1vH29sZ7772HIUOGsACtBEMYS+SSlpZWYrqnYsVTAz1tGqeLFy/qXGqgL+3bt8dPP/2EoqIiZGZmwtLSUntjZfHsAPpsU9/WrVunnWP2n5o0aYILFy48t43im8qIqiOjKEINwYoVK3RumHqSlZXVUx+rW7fuc9su7ZtvLly4gJCQkHJfQE/Vk6mpKcLCwhAWFobk5GRMnz4dx44dw7x589C5c2ejvwmpKvj7++t9mrRiERERiIiIqJK2K6phw4YV/pat4utNq4qZmZl2XlRDbvOf+vXr99S5ev857RNRTcQiVCJVOZiV9i64eH7UWrVqVVm/ZJg6dOgALy8vpKSkGM08oFT1zMzMeMZNz2rXrm0031pGVJoaf00oERERERkeFqFEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCS5Gj9PaEpKitwhyMJY95seq1WrFpRKpdxhkAEw1rHAWPebqDqpsUWoo6MjrK2tERYWJncosrG2tq6yr5sjw/bw4UNkZGTIHQbJiGMgx0AiQ1dji1BXV1ekpKQgKytLlv79/PwwZswYWQ8Ajo6OVfJ9zURk+OQcA2/fvo3evXsjJiYG3bt3l7z/YhwDiQxbjS1CgceDsFwDkKmpKRo3bgwvLy9Z+icikmsMzMzMBAA0b96cYyARPRVvTCIiIiIiybEIJSIiIiLJsQglIiIiIsmxCCUiIiIiybEIJSIiIiLJsQitxq5fvw6FQoHk5OSnrpOQkACFQoGcnBzJ4iLjwPwjuTEHiao3FqE1nK+vL9LT02Fvbw8AiI2NhYODg7xBkdFg/pHcmINEhqtGzxNKgIWFBb++kWTD/CO5MQeJDBfPhMooLy8P4eHhsLW1hbOzM6Kjo+Hv74+JEycCABQKBbZs2aKzjYODA2JjY3WWXbp0Cb6+vqhVqxbatWuHAwcOaB978qOohIQEjBo1Cnfv3oVCoYBCoUBUVFTV7iQZLOYfyY05SGTcWITKaMqUKThw4AC2bt2K3bt3IyEhAUlJSRVqZ/LkyTh9+jR8fHwQHByM27dvl1jP19cXixYtgp2dHdLT05Geno7IyEh97ApVQ8w/khtzkMi4sQiVSW5uLlauXImFCxfipZdegru7O1avXo2ioqJytzVu3DiEhoZCpVJh2bJlsLe3x8qVK0usZ2FhAXt7eygUCiiVSiiVStja2upjd6iaYf6R3JiDRMQiVCbXrl1DQUEBunTpol1Wt25dtGrVqtxt+fj4aH83MzNDx44dkZKSopc4qWZi/pHcmINExCLUgCkUCgghdJYVFhbKFA0ZG+YfyY05SFSzsQiVSfPmzWFubo7jx49rl2VnZ+PKlSvav52cnJCenq79++rVq8jPzy/R1rFjx7S/FxUVITExESqVqtR+LSwsoFar9bELVI0x/0huzEEi4hRNMrG1tcXo0aMxZcoU1KtXD/Xr18eMGTNgYvJ/7wt69eqFJUuWwMfHB2q1GlOnToW5uXmJtpYuXYqWLVtCpVIhJiYG2dnZeP3110vt183NDbm5udi3bx88PDxgbW0Na2vrKttPMkzMP5Ibc5CIeCZURp999hn8/PwQHByMgIAAdOvWDd7e3trHo6Oj4eLiAj8/PwwbNgyRkZGlDpbz5s3DvHnz4OHhgcOHDyMuLg6Ojo6l9unr64uxY8di8ODBcHJywoIFC6ps/8iwMf9IbsxBIuOmEP+84Ib0ws7ODlFRUZg0aVK5tvP390eHDh2waNGiqgmMjMLMmTOxbt06pKamlms75h/pQ2ZmJpRKJeLi4hAcHFyubZmDpA+DBw9GdnY2du/eLXco9Aw8E0pEREREkmMRSkRERESS441JBiYhIUHuEMiIMf9IbsxBIuPBM6FEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCQ5FqFEREREJDkWoUREREQkORahRERERCQ5M7kDqEppaWnIysqSpe969erhzp07SEpKkqV/AHB0dISrq6ts/Rs7OfPv/v37sLOzY/6RLIQQcHZ2hkKhkDsUkpGcY6BGo4GpqSnHQAOnEEIIuYOoCmlpaVCpVMjPz5c7FNlYW1sjJSWFLwIZMP+Yf8YsMzMTSqUScXFxCA4OljsckgHHQI6BZVFjz4RmZWUhPz8fa9euhUqlkjscyaWkpCAsLAxZWVl8AciA+cf8IzJmHAM5BpZFjS1Ci6lUKnh5eckdBhkp5h8RGTOOgfQsvDGJiIiIiCTHIpSIiIiIJMcilIiIiIgkxyKUiIiIiCTHIpSIiIiIJMcilIiIiIgkxyKUiIiIiCRX4+cJJSIiaZ0/fx4AsHnzZqSnp6Nz587o0KGDvEERkcHhmVAiIqo0tVqNtWvXonPnzggICAAArF69GmPGjIGnpyc6d+6MtWvXQq1WyxwpERkKoyhCL1++DKVSifv378sdisEqKCiAm5sbTp06JXcoRFTNPHjwAKGhoRgxYgQSExO1yzUajfb3xMREjBgxAgMGDMCDBw/kCLNau337NurXr4/r16/LHQpVc25ubli0aJFe2srKykL9+vVx8+bNCm1v0EVoREQEFAoFFAoFzM3N0bRpU7z//vt4+PBhudr54IMPMH78eNSuXbuKIjV8n376KTp16oTatWujfv36CAkJweXLl7WPW1hYIDIyElOnTpUxSqqMiIgIhISElFiekJAAhUKBnJwcyWOimk+tVmPo0KHYtm0bAN3C80nFy+Pi4jBs2DCjOiOqj2PZnDlz8Nprr8HNza3qAqVyyc3NRXR0NLp16walUolGjRqhV69eWL58OYqKigymzcr4+uuv4e/vDzs7u1KPI46OjggPD8fs2bMr1L5BF6EAEBQUhPT0dPzxxx+IiYnB8uXLy7Wz6enpiI+PR0RERNUFWQ0cOHAA7777Lo4dO4Y9e/agsLAQvXv3Rl5ennad4cOH4/Dhw7hw4YKMkRJRdbJ+/Xps3br1qcXnP2k0GmzZsgXr16+v4sgMS2WOZfn5+Vi5ciVGjx5dqRjUanWZ/5+qQkFBgWx968OT8ScmJqJNmzbYsmUL3nzzTcTFxSE+Ph4jR45EbGwswsPDy93+89rs1KkT/v77b33u0nPl5+cjKCgI06dPf+o6o0aNwrp163Dnzp3ydyAM2MiRI8Vrr72ms+xf//qX8PT0FEIIsXr1amFjYyOuXLmiffztt98WrVq1EocPHxYAxHvvvSc6duyo08a3334r7O3txbZt28QLL7wgrKysRGhoqMjLyxOxsbGiSZMmwsHBQYwfP14UFRVpt/vuu++Et7e3sLW1FQ0aNBBDhw4VmZmZ2sf3798vAIi9e/cKb29vYWVlJXx8fMSlS5cq/VzMnj1beHh4iO+++040adJE2NnZicGDB4t79+6Vun5iYqIAIBITE0t9/O+//xYAxIEDB3SW9+zZU8ycObPS8Rq75z3/VaG014sQ/5eX2dnZksUix/6TPDp16iRMTEwEgDL/mJiYiE6dOskdumSedyybPXt2qc/Tt99+K4QQ4scffxROTk462xe/ruPj44W7u7uwtLQUXbp0EefOndOuU3ys27p1q1CpVMLU1FSkpqaKhw8fismTJ4uGDRsKa2tr0blzZ7F///4S223evFm0aNFCWFpait69e4u0tDTtOr///rvo16+fqF+/vrCxsREdO3YUe/bs0T5ePAaMHTtWjBgxQtSuXVuMHDlSCCHEoUOHRLdu3UStWrVE48aNxfjx40Vubq5226VLl2r7rV+/vggNDa3M0y+EEKJHjx5i/PjxYsqUKaJOnTqiQYMGYvbs2c/cpvj/7T//+Y9wdnYWbm5uQgghrl+/LurXry++/vrrUrfTaDTijTfeEADEsWPHtMtmz54tXFxchIWFhXB2dhbjx4/XblOWNj/88EPh5eUlCgoKtMsBiG+++UaEhIQIKysr0aJFC7F169Zn7leTJk1ETEzMM9f5p+cdR5o2bSpWrFhRrjaFEMLgz4Q+6fz58zhy5AgsLCwAAOHh4XjllVcwfPhwFBUVYfv27VixYgXWrVsHKysrAEBycjI6duxYoq38/HwsXrwYGzZswK5du5CQkID+/ftjx44d2LFjB9asWYPly5fjp59+0m5TWFiITz75BGfOnMGWLVtw/fr1Us+wzpgxA9HR0Th16hTMzMzw+uuv62X/r127hi1btiA+Ph7x8fE4cOAA5s2bV6G27t69CwCoW7euzvLOnTvj0KFDlY6ViGq+5ORknDx5stxn1zQaDU6ePInk5OSqCczA/fNYFhkZifT0dO3PwoULYW1trT12HTp0CN7e3qW2NWXKFERHR+PkyZNwcnJCcHAwCgsLtY/n5+dj/vz5WLFiBS5cuID69etj3LhxOHr0KDZs2ICzZ89i4MCBCAoKwtWrV3W2mzNnDr777jv89ttvyMnJwZAhQ7SP5+bm4pVXXsG+fftw+vRpBAUFITg4GGlpaTrxrVmzBh4eHjh9+jQ+/PBDXLt2DUFBQQgNDcXZs2exceNGHD58GOPGjQMAnDp1ChMmTMDHH3+My5cvY9euXejevbtenvfVq1fDxsYGx48fx4IFC/Dxxx9jz549z9xm3759uHz5Mvbs2YP4+HgAwLRp0zBq1Ci8+eabuHnzJl599VXUr18fgYGB+OSTT/D222/j7bffBgDs3LkTAPDzzz9rz4BfvXoVW7Zsgbu7u7afsrT58ccfw8bGBmvXrtWJ8aOPPsKgQYNw9uxZbU1UobOSlVDR2sHgp2iKj4+Hra0tioqK8OjRI5iYmGDJkiXax5cvX4727dtjwoQJ2LRpE6KiouDt7Y2kpCQAjz+Of+mll0q0W1hYiGXLlqF58+YAgAEDBmDNmjXIzMyEra0t2rRpg549e2L//v0YPHgwAOgUk82aNcPixYvRqVMn5ObmwtbWVvvYnDlz0KNHDwCPE6tv3754+PAhatWqVannQqPRIDY2Vntt64gRI7Bv3z7MmTOn3O1MnDgRXbt2Rbt27XQea9iwIW7cuFGpOEk+xa+XJxnTtXckrRMnTlRq+5CQEDg5OekpGsOVmpqK27dvw9TUFEIICCEAADY2NujUqZPOurm5ubh8+TKaNm2KUaNGAQB+//13mJmZ6ax77949AMCjR4+0H5UWFRUhLS0NrVu3Rt26dZGVlYXCwkLk5OTgvffe065/7tw5tG/fHpMmTdK2Z2Fhge7du6Nx48ba7XJzczFhwgQAj28+u3DhAlQqlc4Ys2LFCp34/fz8UL9+fe0bk06dOmHy5Mnax9944w0MHz4cEydOBAC0bNkSixcvRo8ePbBs2TKkpaXBxsYGr776KmrXro0mTZrA09Ozgs+8rvbt22svgWjZsiWWLFmCffv24eWXX37qNjY2NlixYoX2DUNubi62b9+O1NRUAMDIkSNha2uLXbt2ISUlBWPHjkVoaKh2+6NHjwIA0tLSoFQqERAQAHNzc7i6uqJz587lbnPkyJH45ZdftLkBPL7meOjQoQCAuXPnYvHixThx4gSCgoL08ryVRcOGDXH69Olyb2fwRWjPnj2xbNky5OXlISYmBmZmZjr/wXXq1MHKlSsRGBgIX19fTJs2TWf7R48elVr8WVtbawtQAGjQoAHc3Nx0XlwNGjTQuf4iMTERUVFROHPmDLKzs7UvsrS0NLRp00a7Xvv27bW/Ozs7AwD+/vtvuLq6VvRpAPD4jrYnb65ydnau0PUh7777Ls6fP4/Dhw+XeMzKygr5+fmVipPkU/x6edLx48cRFhYmU0RUk92/fx+mpqYVeqOjUCjg7OwMDw+PKojMsNy7dw+1atWCn58fioqKcPbsWZiYmGhPVhS7f/8+Nm/eDE9PT52CMyMjA3Z2djpnQ//66y9cuXIFL774os5x4c8//0SdOnXg7e2Ny5cvIy0tDd26dYNCoQAA3LhxA+fOncPFixd1+tZoNHByctLZrnv37trtAODq1atQKpVo1aoVCgsLcerUKaSlpSE/Px8ajQZqtVrb9927d5GUlKRzbASAM2fO4OzZs1i3bp12mRACGo0GqampePnll9GkSRM0a9YMQUFBCAoKQv/+/WFtbV2J/4HHnjw2A2U7hrq7u2sLUAC4cuUK3NzcUK9ePeTl5eHXX3/FrVu30LBhQ3h5eSEhIUHnTHTxm4WBAwdi0aJF2v165ZVXEBwcDDMzs3K16ezsjOzs7Kful42NDezs7CS/drSitYPBF6E2NjZo0aIFAGDVqlXw8PAocYH2wYMHYWpqivT0dOTl5em8IB0cHEr8hwGAubm5zt/Fdy3+c1lxoZmXl4fAwEAEBgZi3bp1cHJyQlpaGgIDA0tcbP1kO8UvYH1cDP6s+Mpq3LhxiI+Px8GDB9G4ceMSj9+5c8cozkzUVE++XopVdOoMouepXbt2hc+0CyEwatQovPXWW3qOyvBEREQgJydHezOWRqOBh4cHOnXqpD2W5eXloWvXrggMDMSmTZt0ir/hw4dDCIGvvvpKuywhIQHbtm3Dp59+qnOC4/jx4wgODsbs2bMRGxuL06dPY/ny5drHN27ciD179uD8+fMwNTXVidPW1hZKpRKxsbE4fPgwli1bBhMTE51tIyIiMHLkSIwdOxa5ublYtWoVWrRoASsrKwwYMAD+/v5YtGgRkpKSsGHDBu2lccVyc3MxZswY7RnWJ7m6usLCwgJJSUlISEjA7t27MWvWLERFReHkyZNwcHCowLP/fypyDLWxsdH5u6ioSLtPxYXhk+vY2trq1BwuLi7afy9fvoy9e/diz549eOedd/DZZ5/hwIED5WozKSmpxBivj9qgsipaO1Sra0JNTEwwffp0zJw5UzvP3JEjRzB//nxs27YNtra22utKirVq1arEO76KuHTpEm7fvo158+bBz88PrVu3lvydRmUIITBu3Dhs3rwZv/76K5o2bVrqeufPn9fbRx9EVLMVf5wo1/bV1T+PZUIIhIWFQaPRYM2aNToFKAB4eno+9Th27Ngx7e/Z2dm4cuUKVCrVU/v29PSEWq3G33//jRYtWuj8KJVK7XpFRUU680ZfvnwZOTk52rZ/++03REREoH///nB3d4dSqSzTHKZeXl64ePFiib5btGihPeNoZmaGgIAALFiwAGfPnsX169fx66+/PrdtKTRr1gxXrlxBYWEhHBwc0LZtW8yZMweFhYW4dOkSNmzYAI1Go70+svhyPuDx2cLg4GAsXrwYCQkJOHr0KM6dO1fmNrdv346lS5eWqHMMQUVrh2pVhAKPT2mbmppi6dKluH//PkaMGIEJEyagT58+WLduHTZu3KhzM5GPjw+OHj1a6eviit+h/fe//8Uff/yBuLg4fPLJJ5XdHcm8++67WLt2Lb7//nvUrl0bGRkZyMjIKDFp9KFDh9C7d2+ZoiSi6qRDhw7o1KmTztmysjAxMUGnTp2M+qs8nzyWRUVFYe/evVi+fDlyc3NLjM+BgYG4cOFCqZ/qffzxx9i3bx/Onz+PiIgIODo6ljpfcLEXXngBw4cPR3h4ODZt2oTU1FScOHECn376KbZv365dz9zcHOPHj8fx48eRmJiIiIgIvPjii9o3Di1btsSmTZuQnJyMM2fOYNiwYWU6+zZ16lQcOXIE48aNQ3JyMq5evYqtW7dqC6v4+HgsXrwYycnJuHHjBr777jtoNBq0atWqPE9vhYSHh+ODDz545jqOjo5o37699uagb7/9FuvXr4eVlRUCAgLQr18/rF27VnvWuviET2xsLFauXInz58/jjz/+wNq1a2FlZYUmTZqUuc1Zs2bhhx9+eOabjNK0bt0amzdvLu/TAeDxpSDJycn4/fffAQDnzp1DcnKyzo1P+fn5SExMrFDtUO2KUDMzM4wbNw4LFizAhAkTYGNjg7lz5wJ4fO3G3LlzMWbMGO1ZSl9fX5iZmWHv3r2V6tfJyQmxsbH48ccf0aZNG8ybNw8LFy6s9P5IZdmyZbh79y78/f3h7Oys/dm4caN2naNHj+Lu3bsYMGCAjJESUXUyYcKECt0dX9rHscbkyWPZjh07kJubC19f31LHZ3d3d3h5eeGHH34o0c68efPw3nvvwdvbGxkZGdi2bZvONYyl+fbbbxEeHo7JkyejVatWCAkJwcmTJ3U+1re2tsbUqVMxbNgwdO3aFba2tjrHi88//xx16tSBr68vgoODERgYCC8vr+fud/v27XHgwAFcuXIFfn5+8PT0xKxZs9CwYUMAjy+h27RpE3r16gWVSoWvvvoK69evR9u2bcv0vFZGWloa0tPTn7vep59+isjISCQlJaFTp05IS0tDWloarl+/jujoaNy5c0fnmlfg8X5988036Nq1K9q3b4+9e/di27ZtqFevXpnbTExMhJ+fX7n36/Lly9oZccrrq6++gqenJ958800AQPfu3eHp6Ym4uDjtOlu3boWrq2uFYjPoeUIr48l5CpcsWSJ69+4td0iSqsg8jYMGDRJz5sypwqiMh7HPk2ns+29MioqKREhISJnnCjUxMRH9+/fXmYOZni8+Pl6oVCqhVquFEFU7/2/xPKGVUdPHgNjYWGFvby8+/PBDcfXqVaHRaERhYaH47bffxKuvviomTZpU7v1/Xpuff/55Fe5RxXXp0kWsW7euQttWuzOhFTFmzBh0796d3x3/DAUFBXB3d8e///1vuUMhomrE1NQU33//Pfr16wcAT/1ovnh5v379sG7duhI3xdCz9e3bF2+99RZu3boldyiEx1MlHTx4EBcvXoSHhwcsLCxgaWmJsLAwdOvWDYMGDdJ7m++++24V7EnlZGVl4V//+pd2iqjyMvi74/XBzMwMM2bMkDsMtG3b9qlzcDo5OeF///tfqY8tX74cw4cPf2q7/5wiCvi/u/G7deuGS5cuPXd6KAsLC8ycOfOZ6xARlcbKygo//fQT1q9fj8WLF+PkyZMAHheexWORt7c33nvvPQwZMoQFaAUVz61pjEo7zhUrnhroadM4Xbx4sdJTJJamffv2+Omnn1BUVITMzExYWlrC0dERALRzleuzTX1bt24dxowZU+pjTZo0KdNXeDs6OuL999+vcAxGUYQaih07dujMH/Ykc3Pzpz7WoEGDZ7bbsGHDEt88cuHCBYSEhGD9+vXaa22IiKqKqakpwsLCEBYWhn379iEgIAAjR47U3sxizDchVQV/f3/tpPf6FhERUeq3AcqptONcebatSmZmZmjUqJHBt/lP/fr1Q5cuXUp97J/TPlUVFqESatKkSZW0a2ZmVmLesOIJcl1cXGBmxv9mIpJO8Tex9e/fH8HBwTJHQzVBacc5qpzatWvrzKsuB6O4JpSIiIiIDAuLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIiklyNn0AyJSVF7hBkYaz7bWiM9f/BWPebHhNCoF69elAoFHKHQjIz1rHAWPe7vGpsEero6Ahra2uEhYXJHYpsrK2tq+zrvujZmH/MP2OmUChw+/btKvtGHzJ8HAM5BpZFjS1CXV1dkZKSgqysLFn69/Pzw5gxY2R9ATo6OlbJ9+XS88mdf0uXLsXOnTsRHx8vS/8A84/ImMk9Bk6bNg337t3Dl19+KUv/AMfAsqixRSjw+EUgVwKYmpqicePG8PLykqV/kp+c+efs7AxLS0vmHxHJRs4xsE6dOgDAMdDA8cYkIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyL0Grs+vXrUCgUSE5Ofuo6CQkJUCgUyMnJkSwuMg7MP5Ibc5DkxPyrPBahNZyvry/S09Nhb28PAIiNjYWDg4O8QZHRYP6R3JiDJCfm37PV6HlCCbCwsIBSqZQ7DDJSzD+SG3OQ5MT8ezaeCZVRXl4ewsPDYWtrC2dnZ0RHR8Pf3x8TJ04E8Pir77Zs2aKzjYODA2JjY3WWXbp0Cb6+vqhVqxbatWuHAwcOaB978qOAhIQEjBo1Cnfv3oVCoYBCoUBUVFTV7iQZLOYfyY05SHJi/smPRaiMpkyZggMHDmDr1q3YvXs3EhISkJSUVKF2Jk+ejNOnT8PHxwfBwcG4fft2ifV8fX2xaNEi2NnZIT09Henp6YiMjNTHrlA1xPwjuTEHSU7MP/mxCJVJbm4uVq5ciYULF+Kll16Cu7s7Vq9ejaKionK3NW7cOISGhkKlUmHZsmWwt7fHypUrS6xnYWEBe3t7KBQKKJVKKJVK2Nra6mN3qJph/pHcmIMkJ+afYWARKpNr166hoKAAXbp00S6rW7cuWrVqVe62fHx8tL+bmZmhY8eOSElJ0UucVDMx/0huzEGSE/PPMLAINWAKhQJCCJ1lhYWFMkVDxob5R3JjDpKcmH9Vj0WoTJo3bw5zc3McP35cuyw7OxtXrlzR/u3k5IT09HTt31evXkV+fn6Jto4dO6b9vaioCImJiVCpVKX2a2FhAbVarY9doGqM+UdyYw6SnJh/hoFTNMnE1tYWo0ePxpQpU1CvXj3Ur18fM2bMgInJ/70v6NWrF5YsWQIfHx+o1WpMnToV5ubmJdpaunQpWrZsCZVKhZiYGGRnZ+P1118vtV83Nzfk5uZi37598PDwgLW1NaytratsP8kwMf9IbsxBkhPzzzDwTKiMPvvsM/j5+SE4OBgBAQHo1q0bvL29tY9HR0fDxcUFfn5+GDZsGCIjI0tN1nnz5mHevHnw8PDA4cOHERcXB0dHx1L79PX1xdixYzF48GA4OTlhwYIFVbZ/ZNiYfyQ35iDJifknP4X45wUPpBd2dnaIiorCpEmTyrWdv78/OnTogEWLFlVNYGQUZs6ciXXr1iE1NbVc2zH/SB8yMzOhVCoRFxeH4ODgcm3LHCR9GDx4MLKzs7F79+5ybcf8kxbPhBIRERGR5FiEEhEREZHkeGOSgUlISJA7BDJizD+SG3OQ5MT8kxbPhBIRERGR5FiEEhEREZHkWIQSERERkeRYhBIRERGR5FiEEhEREZHkWIQSERERkeRYhBIRERGR5FiEEhEREZHkWIQSERERkeRYhBIRERGR5FiEEhEREZHkWIQSERERkeTM5A6gKqWlpSErK0uWvi0sLJCRkYGkpCRZ+gcAR0dHuLq6yta/sZMz/7KysqBQKJh/Rk6uHLxz5w5q1aqF1NRU5qARk3MMzM3NxcOHD5l/Bk4hhBByB1EV0tLSoFKpkJ+fL3cosrG2tkZKSgpfBDJg/jH/5MYcZA7KifnH/CuLGnsmNCsrC/n5+Vi7di1UKpXc4UguJSUFYWFhyMrK4gtABsw/5p/cmIPMQTkx/5h/ZVFji9BiKpUKXl5ecodBRor5R3JjDpKcmH/0LLwxiYiIiIgkxyKUiIiIiCTHIpSIiIiIJMcilIiIiIgkxyKUiIiIiCTHIpSIiIiIJMcilIiIiIgkxyKUiIiIiCTHIpSIiIiIJMcilIiIiIgkxyJUjyIiIhASElJieUJCAhQKBXJyciSPiYwH84/kxhwkOTH/qh8WoUREREQkORahRERERCQ5FqFEREREJDkzuQOoaeLj42Fra6uzTK1WyxQNGRvmH8mNOUhyYv5VLyxC9axnz55YtmyZzrLjx48jLCxMpojImDD/SG7MQZIT8696YRGqZzY2NmjRooXOsps3b8oUDRkb5h/JjTlIcmL+VS+8JpSIiIiIJMcilIiIiIgkxyKUiIiIiCTHa0L1KDY2ttTl/v7+EEJIGwwZHeYfyY05SHJi/lU/PBNKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkmMRSkRERESSYxFKRERERJJjEUpEREREkqvx3x2fkpIidwiyMNb9NjTG+v9grPttiIz1/8JY99vQGOv/g7Hud3nV2CLU0dER1tbWCAsLkzsU2VhbW8PR0VHuMIwS84/5JzfmIHNQTsw/5l9ZKIQQQu4gqkpaWhqysrJk6dvPzw9jxoyR9QXo6OgIV1dX2fo3dnLm39KlS7Fz507Ex8fL0j/A/DMEcuXg7du30bt3b8TExKB79+6S91+MOSgvOcfAadOm4d69e/jyyy9l6R9g/pVFjT0TCgCurq6yJYCpqSkaN24MLy8vWfon+cmZf87OzrC0tGT+GTm5cjAzMxMA0Lx5c+agEZNzDKxTpw4AMP8MHG9MIiIiIiLJsQglIiIiIsmxCCUiIiIiybEIJSIiIiLJsQglIiIiIsmxCK3Grl+/DoVCgeTk5Keuk5CQAIVCgZycHMniIuPA/CO5MQdJTsy/ymMRWsP5+voiPT0d9vb2AIDY2Fg4ODjIGxQZDeYfyY05SHJi/j1bjZ4nlAALCwsolUq5wyAjxfwjuTEHSU7Mv2fjmVAZ5eXlITw8HLa2tnB2dkZ0dDT8/f0xceJEAIBCocCWLVt0tnFwcEBsbKzOskuXLsHX1xe1atVCu3btcODAAe1jT34UkJCQgFGjRuHu3btQKBRQKBSIioqq2p0kg8X8I7kxB0lOzD/5sQiV0ZQpU3DgwAFs3boVu3fvRkJCApKSkirUzuTJk3H69Gn4+PggODgYt2/fLrGer68vFi1aBDs7O6SnpyM9PR2RkZH62BWqhph/JDfmIMmJ+Sc/FqEyyc3NxcqVK7Fw4UK89NJLcHd3x+rVq1FUVFTutsaNG4fQ0FCoVCosW7YM9vb2WLlyZYn1LCwsYG9vD4VCAaVSCaVSCVtbW33sDlUzzD+SG3OQ5MT8MwwsQmVy7do1FBQUoEuXLtpldevWRatWrcrdlo+Pj/Z3MzMzdOzYESkpKXqJk2om5h/JjTlIcmL+GQYWoQZMoVBACKGzrLCwUKZoyNgw/0huzEGSE/Ov6rEIlUnz5s1hbm6O48ePa5dlZ2fjypUr2r+dnJyQnp6u/fvq1avIz88v0daxY8e0vxcVFSExMREqlarUfi0sLKBWq/WxC1SNMf9IbsxBkhPzzzBwiiaZ2NraYvTo0ZgyZQrq1auH+vXrY8aMGTAx+b/3Bb169cKSJUvg4+MDtVqNqVOnwtzcvERbS5cuRcuWLaFSqRATE4Ps7Gy8/vrrpfbr5uaG3Nxc7Nu3Dx4eHrC2toa1tXWV7ScZJuYfyY05SHJi/hkGngmV0WeffQY/Pz8EBwcjICAA3bp1g7e3t/bx6OhouLi4wM/PD8OGDUNkZGSpyTpv3jzMmzcPHh4eOHz4MOLi4uDo6Fhqn76+vhg7diwGDx4MJycnLFiwoMr2jwwb84/kxhwkOTH/5KcQ/7zggfTCzs4OUVFRmDRpUrm28/f3R4cOHbBo0aKqCYyMwsyZM7Fu3TqkpqaWazvmH+lDZmYmlEol4uLiEBwcXK5tmYOkD4MHD0Z2djZ2795dru2Yf9LimVAiIiIikhyLUCIiIiKSHG9MMjAJCQlyh0BGjPlHcmMOkpyYf9LimVAiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpKcmdwBVKW0tDRkZWXJ0rdarcbNmzeRlJQkS/8A4OjoCFdXV9n6JyIi4yXnMTg7Oxv37t3jMdjA1dgiNC0tDSqVCvn5+bLFEBMTg5iYGNn6t7a2RkpKCl8ERkihUMDc3FzuMIjISBnCMRgAvL29Zeubx+Dnq7FFaFZWFvLz87F27VqoVCq5w5FcSkoKwsLCkJWVxReAERJCoLCwUO4wiMhI8RjMY3BZ1NgitJhKpYKXl5fcYRARERkdHoPpWXhjEhERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoUQ2TnJyMpKQk3L17F19//TWSk5PlDomIiKgEFqFENYBarcbatWvRuXNneHp6YufOncjOzsaYMWPg6emJzp07Y+3atVCr1XKHSkREBECGIvT27duoX78+rl+/XqHtExISoFAokJOTU+rj169fh0KhwOXLlwEAp06d0lk/NjYWDg4OOtt8/fXXcHFxgYmJCRYtWlSmOPz9/TFx4sQK7YOhet5zq0/Tpk3D+PHjq7wfY/DgwQOEhoZixIgRSExMLHWdxMREjBgxAgMGDMCDBw8kjpCIaqLLly9DqVTi/v37codidL766isEBwfLHUallasIjYiIgEKhgEKhgLm5OZo2bYr3338fDx8+LHMbc+bMwWuvvQY3N7fyxlomLi4uSE9PR/Pmzcu0/r179zBu3DhMnToVt27dwltvvVXhvouLuKpy8eJFvP3221CpVKhXrx5atmyJkSNH4ujRo1XWZ0WdPXsWfn5+qFWrFlxcXLBgwQKdxyMjI7F69Wr88ccfMkVYM6jVagwdOhTbtm0DAGg0mlLXK14eFxeHYcOG8YwokRHTx7EcAD744AOMHz8etWvXrqJIpVPVx+/ySktLQ9++fWFtbY369etjypQpKCoq0j7++uuvIykpCYcOHZIxysor95nQoKAgpKen448//kBMTAyWL1+O2bNnl2nb/Px8rFy5EqNHjy53oGVlamoKpVIJMzOzMq2flpaGwsJC9O3bF87OzrC2tq6y2Cpj3rx56NKlCzQaDRYuXIgDBw7g22+/RbNmzdCvXz988MEHcoeode/ePfTu3RtNmjRBYmIiPvvsM0RFReHrr7/WruPo6IjAwEAsW7ZMxkirv/Xr12Pr1q1PLT7/SaPRYMuWLVi/fn0VR0ZEhqwyx3Lg8bEzPj4eERERVRekkVKr1ejbty8KCgpw5MgRrF69GrGxsZg1a5Z2HQsLCwwbNgyLFy+WMdLKK3cRamlpCaVSCRcXF4SEhCAgIAB79uwBAERFRWnfXT35ExsbCwDYsWMHLC0t8eKLLz6zjxs3biA4OBh16tSBjY0N2rZtix07dpS6bn5+Pvr06YOuXbsiJyenxMfxzxIbGwt3d3cAQLNmzaBQKHD9+nVEREQgJCREZ92JEyfC39+/1Hb8/f2hUCjQs2dPACix38+iUCiwYsUK9O/fH9bW1mjZsiXi4uJ01lm6dClWrFiBxMRELF++HH379kW7du3QrVs3zJ49GxcvXsQvv/yC6Oho7TbFbRw5cgQqlQq2trbaQaeqrVu3DgUFBVi1ahXatm2LIUOGYMKECfj888911gsODsaGDRuqPJ6abPHixTAxKd/L2MTEpNoPXERUOc86ln/33XewtbXF1atXteu/8847aN26NfLz8wEAP/zwAzw8PNCoUaNn9nPlyhX07NkTtWvXhp2dHby9vXHq1CkAjy/PGzp0KBo1agRra2u4u7uXeIPs5uZW4jK5Dh06ICoqSvt3Tk4OxowZgwYNGqBWrVpo164d4uPjtY8fPnwYfn5+sLKygouLCyZMmIC8vDwAVX/8rojdu3fj4sWLWLt2LTp06IA+ffrgk08+wdKlS1FQUKBdLzg4GHFxcdX6EqtKXRN6/vx5HDlyBBYWFgAef8Sanp6u/Vm4cCGsra3RsWNHAMChQ4fg7e393HbfffddPHr0CAcPHsS5c+cwf/582NrallgvJycHL7/8MjQaDfbs2VPiWs/nGTx4MPbu3QsAOHHiBNLT0+Hi4lKuNgBg06ZNSE9Px88//wwA2v0fPHhwmbb/6KOPMGjQIJw9exavvPIKhg8fjjt37gAAsrKyMGvWLGzevBkvvPACNm/ejHbt2qFhw4aYOXMmXn75ZVy6dAnr16/HnDlzSlybs3btWqxZswYHDx5EWloaIiMjy71/5XX06FF0795dmxcAEBgYiMuXLyM7O1u7rHPnzrh582aFrw82dsnJyTh58mSZz4IW02g0OHnyJO+aJyIAJY/l4eHh2mNRUVERtm/fjhUrVmDdunXaTwsPHTqkPbY/y8yZM9G4cWOcPHkSiYmJmDZtGszNzQEADx8+hLe3N7Zv347z58/jrbfewogRI3DixIkyx67RaNCnTx/89ttvWLt2LS5evIh58+bB1NQUAHDt2jUEBQUhNDQUZ8+excaNG3H48GGMGzcOQNUevyvq6NGjcHd3R4MGDbTLAgMDce/ePVy4cEG7rGPHjigqKsLx48cr1Z+cyvaZ9RPi4+Nha2uLoqIiPHr0CCYmJliyZAkAwNbWVlssHjt2DDNnzsTq1avRrl07AI/PcDZs2PC5faSlpSE0NFTnLOU/ZWRkYPDgwWjZsiW+//57nYKnrKysrFCvXj0AgJOTE5RKZbnbAIC6devq/FvediIiIjB06FAAwNy5c7F48WKcOHECQUFB2Lx5M3r27Al3d3dcu3YNQ4cORXR0NLp27YolS5Zg//79mDFjBlq1aoW2bdvit99+Q1BQEO7duwfg8Sn74jOQNjY22LRpE4YNG1ZqHJmZmQCAN954o0LPZ7H9+/fDxsZGp5+7d+8CAMLCwmBvbw8AKCws1PZXv379CvdnrH7//fdKbX/ixAl06NBBP8EQUbXyrGM5ACxfvhzt27fHhAkTsGnTJkRFRemcRLpx40aZitCMjAwEBASgdevWAICWLVtqH2vUqJHOiZHx48fjl19+wQ8//IDOnTuXaT/27t2LEydOICUlBS+88AIA3Zrh008/xfDhw7U3Erds2RKLFy9Gjx49sGzZsio7flfmmJaRkaFTgALQ/p2RkaFdZm1tDXt7e9y4caPCfcmt3EVoz549sWzZMuTl5SEmJgZmZmYIDQ3VWSctLQ0hISGIjIzEoEGDtMsfPHiAWrVq6azbtm1b7RPo5+eHnTt3YsKECXj77bexe/duBAQEIDQ0FO3bt9fZ7uWXX0bnzp2xceNG7Tue6urJfbOxsYGdnR3+/vtvAMC5c+fg6+sLAPjll1/QvXt3vPvuuwCAL7/8UuejC2dnZ+2ZxuKzYw8fPtQWl48ePdL5+5+Kt/3777+171QronhAe7Kf4o8+bt++rb34vTjGrKwsCCEq3J+xevKscnmZmpryjlYiI/a8Y3mdOnWwcuVKBAYGwtfXF9OmTdPZvrTj+ZOfWAYFBQEAhg8fjjfeeANr1qxBQEAABg4cqL1xWK1WY+7cufjhhx9w69YtFBQU4NGjR+W6NyM5ORmNGzfWFqD/dObMGZw9exbr1q3TLhNCQKPRIDU1FSqVqsx9leZpx2+pTqxYWVlpL5GojspdhNrY2KBFixYAgFWrVsHDw0PnZqO8vDz069cPPj4++Pjjj3W2dXR0LHHg3LFjh/aMmJWVFYDHZ8YCAwOxfft27N69G59++imio6N1pvTp27cvfv75Z1y8eFF7xlRfTExMShRFxTFWhX8WfAqFQlugFRUVaZ+XgoIC2NjYaNezsLDQnrHUaDRITk7GlClTAEB7acJXX30FLy8vAMCWLVvQv39/7Nu3r9Q4EhIS0LNnT8TFxZX70oYnhYeH4969e9iyZYt22f79+9GrVy/s3LkTderUAfD4zKtSqcSKFSvK9I6adH399dcYM2ZMhbZVq9U14o5WIqqY5x3LAeDgwYMwNTVFeno68vLydMaM0o7nT17ic/36dfz8888YM2YMJk+ejO3bt2Pnzp2YPXs2NmzYgP79++Ozzz7DF198gUWLFsHd3R02NjaYOHGiznWPzzseFx8fnyY3NxdjxozBhAkTSjzm6ur6zG3L4lnH74pSKpUlLkkoPqnzzzO1d+7cgZOTU6X6k1Olrgk1MTHB9OnTMXPmTDx48ABCCISFhUGj0WDNmjUlpjvw9PTExYsXdZY1adIELVq0QIsWLXQucHZxccHYsWOxadMmTJ48Gd98843OdvPmzcPIkSPx0ksvlWizspycnErcwCPX9XMtWrTAuXPnAADdunXD7t27cezYMajVaixZsgQ5OTm4d+8eJk+ejEaNGqFTp06yxPkkHx8fHDx4UGeg2LNnD1q1aqUtQIHH1yGZm5ujbdu2coRZ7ZX146qq2p6IaoZ/HsuBxze1zp8/H9u2bYOtra32GspipR3Pi4/lLVq00H68DQAvvPAC/v3vf2P37t3417/+hW+//RYA8Ntvv+G1115DWFgYPDw80KxZM1y5ckWnzX8ej+/du4fU1FTt3+3bt8fNmzdLbFfMy8sLFy9e1Imt+Kcyl51VJR8fH5w7d077iSjw+BhqZ2eHNm3aaJddu3YNDx8+hKenpxxh6kWlJ6sfOHAgTE1NsXTpUkRFRWHv3r1Yvnw5cnNzkZGRgYyMDG1SBwYG4sKFC8/9GHHixIn45ZdfkJqaiqSkJOzfv7/UU+YLFy7E8OHD0atXL1y6dKmyu6LVq1cvnDp1Ct999x2uXr2K2bNn4/z583prvzz69euHH3/8EXfu3EHHjh0xbdo0+Pn5wdLSErt374a3tzeGDBmC7OxsbN68uVxtb968WXudjj4NGzYMFhYWGD16NC5cuICNGzfiiy++wKRJk3TWO3TokPaORSq/Dh06oFOnThW6O75Tp068HpSItJ48lt+/fx8jRozAhAkT0KdPH6xbtw4bN27ETz/9pF0/MDAQR48efe6cw/Pnz0dCQgJu3LiB3377DSdPntQez1u2bIk9e/bgyJEjSElJwZgxY0pcLtarVy+sWbMGhw4dwrlz5zBy5EidS/B69OiB7t27IzQ0FHv27EFqaip27tyJXbt2AQCmTp2KI0eOYNy4cUhOTsbVq1exdevWEkW1IenduzfatGmDESNG4MyZM/jll18wc+ZMvPvuu7C0tNSud+jQITRr1qzM86IbokoXoWZmZhg3bhwWLFiAHTt2IDc3F76+vnB2dtb+bNy4EQDg7u4OLy8v/PDDD89sU61W491334VKpUJQUBBeeOEFfPnll6WuGxMTg0GDBqFXr15PfSdUXoGBgfjwww/x/vvvo1OnTrh//z7Cw8P10nZ5tWjRAgMHDsTQoUORn5+PDz/8EPfu3cNff/2FuLg47NixAzk5OaV+E9Tz3L17t0xTWZWXvb09du/ejdTUVHh7e2Py5MmYNWtWiS8C2LBhA9588029929MJkyYUKG740v7aIqIjNeTx/IJEybAxsYGc+fOBfD42D137lyMGTMGt27dAgD06dMHZmZm2hlmnubu3bsIDw/HCy+8gEGDBqFPnz746KOPADy+c97LywuBgYHw9/eHUqksMT3iBx98gB49euDVV19F3759ERISUqLo+vnnn9GpUycMHToUbdq0wfvvv68tjtu3b48DBw7gypUr8PPzg6enJ2bNmlWmm6TlYmpqivj4eJiamsLHxwdhYWEIDw8vcYnj+vXrq/8xVEgsPj5eqFQqoVarq7SfxMREAUAkJiZWaT9P2r9/v6iKp/TRo0eiX79+QqVSifXr14ucnBwhhBDZ2dli5cqVom3btuLPP//U2UaO/S+PHTt2CJVKJQoLC+UOpVorKioSISEhwsTERAB47o+JiYno37+/KCoqkjt0qsEyMjIEABEXFyd3KFSFlixZInr37l3qY4Z+DPonfR+/q3r/z58/L+rXr6+tB6oryb87vm/fvnjrrbe076ZqEl9f3yqZDN7CwgJbtmzB+++/j/nz58PBwQGWlpZwcnLC2rVrsXjxYjRu3Fjv/ValvLw8fPvtt2X+ZisqnampKb7//nv069cPAJ760Xzx8n79+mHdunXVfkYJIpLfmDFj0L179xox00ZVHb+rSnp6Or777jvtlIfVleRFKPD4ms+KTApv6CwsLHTuXFu3bp127tR//pT3ZhyFQoGIiAicPn0a9+/fx9WrV3Hv3j38+uuv6NWrl753BX369Hlq7AqF4qmPFX988zwDBgxAly5d9B63MbKyssJPP/2ENWvWPPXLILy9vbF27Vr89NNPvAaXiPTCzMwMM2bMqBEzbej7+F18LOzWrVuJ7ceOHfvUtseOHVumeAMCAhAYGFixnTUgPA1Vhfr16/fUQqsy83A++aUAVWXFihVP/SowKyurpz725B2RJB1TU1OEhYUhLCwMycnJmD59Oo4dO4Z58+ahc+fOvAmJiKgcKnv8Hjt2LH7++WesX7++RNFqZ2f31G8vtLOzK3+w1RiL0CpUu3btavsO8XnfB0yGq0OHDvDy8kJKSkqJm8GIiOj5Knv8Lj4h4+Liop2P9Un8lsDHZPk4noiIiIiMG4tQIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyLUCIiIiKSXI2fJzQlJUXuEGRhrPtNRESGw1iPRca63+VVY4tQR0dHWFtbIywsTO5QZGNtbQ1HR0e5wyAZmJqawtraWu4wiMhI8RjMY3BZ1Ngi1NXVFSkpKcjKypKlfz8/P4wZM0bWF6CjoyNcXV1l65/ko1arkZ+fL3cYRGSk5D4GT5s2Dffu3cOXX34pS/8Aj8FlUWOLUODxi0CuBDA1NUXjxo3h5eUlS/9ERERykvMYXKdOHQDgMdjA8cYkIiIiIpIci1AiIiIikhyLUCIiIiKSHItQIiIiIpIci1AiIiIikhyL0Grs+vXrUCgUSE5Ofuo6CQkJUCgUyMnJkSwuMg7MPyIyZhwDK49FaA3n6+uL9PR02NvbAwBiY2Ph4OAgb1BkNJh/RGTMOAY+W42eJ5QACwsLKJVKucMgI8X8IyJjxjHw2XgmVEZ5eXkIDw+Hra0tnJ2dER0dDX9/f0ycOBEAoFAosGXLFp1tHBwcEBsbq7Ps0qVL8PX1Ra1atdCuXTscOHBA+9iTHwUkJCRg1KhRuHv3LhQKBRQKBaKioqp2J8lgMf+IyJhxDJQfi1AZTZkyBQcOHMDWrVuxe/duJCQkICkpqULtTJ48GadPn4aPjw+Cg4Nx+/btEuv5+vpi0aJFsLOzQ3p6OtLT0xEZGamPXaFqiPlHRMaMY6D8WITKJDc3FytXrsTChQvx0ksvwd3dHatXr0ZRUVG52xo3bhxCQ0OhUqmwbNky2NvbY+XKlSXWs7CwgL29PRQKBZRKJZRKJWxtbfWxO1TNMP+IyJhxDDQMLEJlcu3aNRQUFKBLly7aZXXr1kWrVq3K3ZaPj4/2dzMzM3Ts2BEpKSl6iZNqJuYfERkzjoGGgUWoAVMoFBBC6CwrLCyUKRoyNsw/IjJmHAOrHotQmTRv3hzm5uY4fvy4dll2djauXLmi/dvJyQnp6enav69evYr8/PwSbR07dkz7e1FRERITE6FSqUrt18LCAmq1Wh+7QNUY84+IjBnHQMPAKZpkYmtri9GjR2PKlCmoV68e6tevjxkzZsDE5P/eF/Tq1QtLliyBj48P1Go1pk6dCnNz8xJtLV26FC1btoRKpUJMTAyys7Px+uuvl9qvm5sbcnNzsW/fPnh4eMDa2hrW1tZVtp9kmJh/RGTMOAYaBp4JldFnn30GPz8/BAcHIyAgAN26dYO3t7f28ejoaLi4uMDPzw/Dhg1DZGRkqck6b948zJs3Dx4eHjh8+DDi4uLg6OhYap++vr4YO3YsBg8eDCcnJyxYsKDK9o8MG/OPiIwZx0D5KcQ/L3ggvbCzs0NUVBQmTZpUru38/f3RoUMHLFq0qGoCI6Mwc+ZMrFu3DqmpqeXajvlH+pCZmQmlUom4uDgEBwfLHQ4ZocGDByM7Oxu7d+8u13YcA6XFM6FEREREJDkWoUREREQkOd6YZGASEhLkDoGMGPOPiIwZx0Bp8UwoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJzkzuAKpSWloasrKyZOlbrVbj5s2bSEpKkqV/AHB0dISrq6ts/Rs7OfMvPT0djx49Yv4RkWzkHAOzs7Nx7949joEGTiGEEHIHURXS0tKgUqmQn58vdyiysba2RkpKCl8EMmD+Mf+MWWZmJpRKJeLi4hAcHCx3OCQDjoEcA8uixp4JzcrKQn5+PtauXQuVSiV3OJJLSUlBWFgYsrKy+AKQAfOP+UdkzDgGcgwsixpbhBZTqVTw8vKSOwwyUsw/IjJmHAPpWXhjEhERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBERERFJjkUoEREREUmORSgRERERSY5FKBEREZXL7du3Ub9+fVy/fl3uUIzOxYsX0bhxY+Tl5ckdSqWxCNWjiIgIhISElFiekJAAhUKBnJwcyWMi48H8I6KyiIiIgEKhgEKhgLm5OZo2bYr3338fDx8+LHMbc+bMwWuvvQY3N7eqC1Qi169fh0KhMJiCes6cOfD19YW1tTUcHBxKPN6mTRu8+OKL+Pzzz6UPTs9YhBIRERmZoKAgpKen448//kBMTAyWL1+O2bNnl2nb/Px8rFy5EqNHj67iKI1TQUEBBg4ciLfffvup64waNQrLli1DUVGRhJHpH4tQIiIiI2NpaQmlUgkXFxeEhIQgICAAe/bsAQBERUVpz5Q++RMbGwsA2LFjBywtLfHiiy8+t5+JEyeiTp06sLGxQdu2bbFjxw4AgFqtxujRo9G0aVNYWVmhVatW+OKLL3S29ff3x8SJE3WWhYSEICIiQvv3o0ePMHXqVLi4uMDS0hItWrTAypUrtY+fP38effr0ga2tLRo0aIARI0YgKysLwP+dEW7atCkAoGnTplAoFIiKinrufrm5uWHu3Ll4/fXXUbt2bbi6uuLrr79+7nZl8dFHH+Hf//433N3dn7rOyy+/jDt37uDAgQN66VMuLEKJiIiM2Pnz53HkyBFYWFgAACIjI5Genq79WbhwIaytrdGxY0cAwKFDh+Dt7V2mtgsKCnDw4EGcO3cO8+fPh62tLQBAo9GgcePG+PHHH3Hx4kXMmjUL06dPxw8//FCu2MPDw7F+/XosXrwYKSkpWL58ubaPnJwc9OrVC56enjh16hR27dqFzMxMDBo0CADwxRdfID09HSdOnAAAnDhxAunp6YiMjCxT39HR0ejYsSNOnz6Nd955B2+//TYuX75crvgrysLCAh06dMChQ4ck6a+qmMkdQE0THx+vfQEUU6vVMkVDxob5R0RlUTxWFBUV4dGjRzAxMcGSJUsAALa2ttpx5NixY5g5cyZWr16Ndu3aAQBu3LiBhg0blqmfDh06aM/oNWvWTLvc3NwcH330kfbvpk2b4ujRo/jhhx+0ReLzXLlyBT/88AP27NmDgICAEn0sWbIEnp6emDt3rnbZqlWr4OLigitXruCFF16Avb299lpYJycnKJXKMvUNAK+88greeecdAMDUqVMRExOD/fv3o1WrVmVuozIaNmyIGzduSNJXVWERqmc9e/bEsmXLdJYdP34cYWFhMkVExoT5R0RlUTxW5OXlISYmBmZmZggNDdVZJy0tDSEhIYiMjNQpDB88eIBatWrprNu2bVttQeTn54c5c+YAAFasWIFz584hICAAoaGhaN++vXabpUuXYtWqVUhLS8ODBw9QUFCADh06lHkfkpOTYWpqih49epT6+JkzZ7B///4Sb8wB4Nq1a3jhhRfK3FdpntwXhUIBpVKJv//+u1JtloeVlRXy8/Ml668qsAjVMxsbG7Ro0UJn2c2bN2WKhowN84+IyuLJsWLVqlXw8PDQudkoLy8P/fr1g4+PDz7++GOdbR0dHZGdna2zbMeOHSgsLATwuDjKzMwEAMTFxSEtLQ27d+/Gp59+iujoaIwfPx4bNmxAZGQkoqOj4ePjg9q1a+Ozzz7D8ePHtW2amJhACKHTT3Efxf08S25uLoKDgzF//vwSjzk7Oz9z27IwNzfX+VuhUECj0VS63bK6c+cOmjdvLll/VYHXhBIRERkxExMTTJ8+HTNnzsSDBw8ghEBYWBg0Gg3WrFkDhUKhs76npycuXryos6xJkyZo0aIFWrRogUaNGmmXK5VKjB07Fps2bcLkyZPxzTffAAB+++03+Pr64p133oGnpydatGiBa9eu6bTp5OSE9PR07d9qtRrnz5/X/u3u7g6NRvPUm3O8vLxw4cIFuLm5aWMr/rGxsanYk2VAzp8/D09PT7nDqBQWoUREREZu4MCBMDU1xdKlSxEVFYW9e/di+fLlyM3NRUZGBjIyMvDgwQMAQGBgIC5cuFDibGhpjhw5gtTUVCQlJWH//v1QqVQAgJYtW+LUqVP45ZdfcOXKFXz44Yc4efKkzra9evXC9u3bsX37dly6dAlvv/22znzHbm5uGDlyJF5//XVs2bIFqampSEhI0N7c9O677+LOnTsYOnQoTp48iWvXruGXX37BqFGjDPpa+bS0NCQnJyMtLQ1qtRrJyclITk5Gbm6udp3r16/j1q1b2mthqysWoUREREbOzMwM48aNw4IFC7Bjxw7k5ubC19cXzs7O2p+NGzcCeHwG0svLq0x3ss+fPx8qlQpBQUF44YUX8OWXXwIAxowZg3/9618YPHgwunTpgtu3b2tv8in2+uuvY+TIkQgPD0ePHj3QrFkz9OzZU2edZcuWYcCAAXjnnXfQunVrvPnmm9pvEmrYsCF+++03qNVq9O7dG+7u7pg4cSIcHBxgYmK45c+sWbPg6emJ2bNnIzc3F56ento7/IutX78evXv3RpMmTWSMVA9EDZWYmCgAiMTERLlDkYWx77/cjP35N/b9N3YZGRkCgIiLi5M7FKoi8fHxQqVSCbVaXerj1WkMSE1NFQBEamqq3tqsyv1/9OiRcHV1FYcPH9Z721LjjUlERERULn379sXVq1dx69YtuLi4yB1Opbi4uCA9PR1OTk5yh1ImaWlpmD59Orp27Sp3KJXGIpSIiIjK7Z/fZlRdmZqa6swPeujQIfTp0+ep6z95bWZp5s6di//85z8AgG7duul89J+Xl/fUm6L8/Pywc+fO58ZbfHNVTcAilIiIiOj/69ixI5KTkyu8/dixY9G2bVuEhIRg/fr1aNu2rfYxKysr7Q1e//S8KadqIhahRERERP+flZVVpc401q1bV3uJgouLS405a1kVDPf2MCIiIiKqsViEEhEREZHkWIQSERERkeRYhBIRERGR5FiEEhEREZHkWIQSERERkeRYhBIRERGR5Gr8PKEpKSlyhyALY91vQ2Os/w/Gut9EpMtYxwJj3e/yqrFFqKOjI6ytrREWFiZ3KLKxtraGo6Oj3GEYJeYf84/ImHEM5BhYFjW2CHV1dUVKSgqysrJk6d/Pzw9jxoyR9QXo6OgIV1dX2fo3ZnLn39KlS7Fz507Ex8fL0j/A/CMyZnKPgdOmTcO9e/fw5ZdfytI/wDGwLGpsEQo8fhHIlQCmpqZo3LgxvLy8ZOmf5Cdn/jk7O8PS0pL5R0SykXMMrFOnDgBwDDRwvDGJiIiIiCTHIpSIiIiIJMcilIiIiIgkxyKUiIiIiCTHIpSIiIiIJMcitBq7fv06FAoFkpOTn7pOQkICFAoFcnJyJIuLjAPzj4iMGcfAymMRWsP5+voiPT0d9vb2AIDY2Fg4ODjIGxQZDeYfERkzjoHPVqPnCSXAwsICSqVS7jDISDH/iMiYcQx8Np4JlVFeXh7Cw8Nha2sLZ2dnREdHw9/fHxMnTgQAKBQKbNmyRWcbBwcHxMbG6iy7dOkSfH19UatWLbRr1w4HDhzQPvbkRwEJCQkYNWoU7t69C4VCAYVCgaioqKrdSTJYzD8iMmYcA+XHIlRGU6ZMwYEDB7B161bs3r0bCQkJSEpKqlA7kydPxunTp+Hj44Pg4GDcvn27xHq+vr5YtGgR7OzskJ6ejvT0dERGRupjV6gaYv4RkTHjGCg/FqEyyc3NxcqVK7Fw4UK89NJLcHd3x+rVq1FUVFTutsaNG4fQ0FCoVCosW7YM9vb2WLlyZYn1LCwsYG9vD4VCAaVSCaVSCVtbW33sDlUzzD8iMmYcAw0Di1CZXLt2DQUFBejSpYt2Wd26ddGqVatyt+Xj46P93czMDB07dkRKSope4qSaiflHRMaMY6BhYBFqwBQKBYQQOssKCwtlioaMDfOPiIwZx8CqxyJUJs2bN4e5uTmOHz+uXZadnY0rV65o/3ZyckJ6err276tXryI/P79EW8eOHdP+XlRUhMTERKhUqlL7tbCwgFqt1scuUDXG/CP6f+3deXhN58L+8XtHEiQxVUQaQ7W0GnVQvJQaaigJYqyxxFAVlB4NDkqr51Dz0JoVNVNKU5HIVq+DmkoPpVVKT49WkxNpEfMQkuf3x/uT981BJbKzVobv57pyXbL2Ws9z73Rf6Z2113o28jJ+B2YPLNFkEx8fH7322msaPny4ihcvLj8/P40ePVpubv/7d0Hjxo01Z84c1alTR8nJyRoxYoQ8PDzuGWvu3Ll6+umnFRgYqJkzZyoxMVF9+vS577zlypXT1atXtX37dlWtWlVeXl7y8vLKsueJ7InXH4C8jN+B2QNnQm00depU1a9fXyEhIWratKnq1aunGjVqpD4+ffp0lSlTRvXr11e3bt00bNiw+75YJ02apEmTJqlq1aras2ePIiMj5evre98569atq/79+6tz584qUaKEpkyZkmXPD9kbrz8AeRm/A+3nMP95wQNconDhwnrvvfcUHh6eoeNeeuklVatWTR988EHWBEOeMGbMGK1evVqnT5/O0HG8/uAKCQkJ8vf3V2RkpEJCQuyOgzyoc+fOSkxM1BdffJGh4/gdaC3OhAIAAMBylFAAAABYjhuTspmdO3faHQF5GK8/AHkZvwOtxZlQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACznbneArLJ7927FxMTYNv+tW7e0ZcsWnTt3zpb58+fPr3feeUdubvydYYekpCT97W9/U0pKii3z79q1S4mJiXr77bdtmV+SOnTooBo1atg2PwB7nTlzxrb/ByYmJury5cs6fPiwLfNLkq+vr8qWLWvb/DmBwxhj7A6RFVq2bKktW7aoZMmS8vLysnx+Y4wcDofl80pSXFyckpKSdPDgQf3Xf/2XLRnyuq1btyooKEgFCxaUv7+/LRnseg1evXpVv//+u3r06KEVK1ZYPj/sl5CQIH9/f0VGRiokJMTuOLDBmTNnFBgYqOvXr9sdxTZeXl46ceIERfQP5NozodOmTdP+/fv17LPPauvWrcqfP7/dkSwRFRWltm3bauDAgapZs6bdcfKsl19+WV26dFFERISWL1+u+vXr2x3JEleuXFHDhg3l4eGh8ePH2x0HgE3OnTun69eva9WqVQoMDLQ7juVOnDih7t2769y5c5TQP5BrS2hgYKA2b96spk2bKjQ0VGvXrs31b00fOHBAnTp1UkhIiGbNmmXbmVhIbm5uWrZsmRISEtS6dWvt3btXlSpVsjtWlkpKStIrr7yin376Sbt37+YXLwAFBgaqevXqdsdANpWrW9mLL76oNWvW6NNPP9WwYcPsjpOlfvzxR7Vq1UrPP/+81qxZo3z58tkdKc/Lnz+/IiIiVKZMGQUFBSkuLs7uSFnGGKO+fftqx44d+vzzz1WlShW7IwEAsrlcXUIlqV27dpo9e7ZmzpypGTNm2B0nSyQkJCgoKEi+vr6KjIxUwYIF7Y6E/69IkSKpN8gFBwfr0qVLNifKGqNHj9bKlSu1YsUKNWrUyO44AIAcINeXUEl64403NGrUKA0dOlSffPKJ3XFc6urVq2rZsqVu3Lghp9Op4sWL2x0J/6FUqVJyOp369ddf1a5dO926dcvuSC41b948TZw4UdOnT1eXLl3sjgMAyCHyRAmVpPfff1+hoaEKDQ3Vjh077I7jErdv31bHjh116tQpbdmyRU888YTdkfAAlSpVUmRkpPbt26devXrZtnSTq0VERGjQoEF66623FB4ebnccAEAOkmdKqMPh0OLFi9WoUSO1bdtW3333nd2RMsUYo7CwMG3fvl0RERGqVq2a3ZHwEPXr19fq1au1bt06jRgxwu44mbZ3715169ZNHTt21LRp0+yOAwDIYfJMCZUkDw8PbdiwQeXLl1dQUJDOnDljd6RHNnbsWC1dulRLly5VkyZN7I6DdOrQoYNmzZqladOm6YMPPrA7ziM7ceKEQkJC9MILL2jFihW5fuUJAIDr5bn/cxQqVEhbtmyRp6engoODlZiYaHekDFu4cKHGjRunKVOm6NVXX7U7DjJo0KBBGjFihMLDw7V+/Xq742TYv//9bwUFBalUqVKKiIjIM2vwAgBcK8+VUEny9/eX0+lUQkKC2rRpo5s3b9odKd0iIyM1cOBAvfnmm7l+2ancbMKECXr11VfVo0cP7dq1y+446Xb58mW1aNFCKSkpiomJUdGiRe2OBADIofJkCZWkihUrKioqSv/4xz/Uo0cPJScn2x3pofbv368uXbqoffv2mjFjBovR52Bubm5asmSJGjRooDZt2ujYsWN2R3qopKQktW/fXr/88oucTqdKly5tdyQAQA6WZ0uoJL3wwgv65JNP9Nlnn+mtt96SMcbuSA908uRJhYSEqGbNmlq5ciWL0ecCnp6e2rhxo5588kkFBQXp119/tTvSA6WkpKhPnz7avXu3Nm3apOeee87uSABsdvLkSfn7++vKlSt2R8lzFixYoJCQELtjZFqeLqGS1Lp1a82bN0+zZ8922R2+c+fOVbly5VSgQAHVrl1bBw8ezNR4Z8+eVVBQkEqWLKlNmzapQIECLskJ+xUuXFhbtmyRu7u7goODdfHiRZeM6+rX4KhRo7RmzRqtWrVKDRo0cElGAPbo1auXHA6HHA6HPDw89OSTT+ovf/lLhi9NGzVqlAYPHqxChQplUVLr7Ny5M9u8u3j06FF17dpVZcqUUcGCBRUYGKgPP/wwzT59+vTR4cOHtXv3bptSukaeL6GSFBYWpjFjxugvf/mLVq9enamx1q1bp/DwcI0dO1aHDx9W1apV1bx5c/3222+PNN6VK1fUokULJSUlKSYmRsWKFctUPmQ/jz/+uJxOp+Lj49W2bdtMX6Ps6tfgrFmzNGXKFM2cOVMdO3bMVDYA2UNQUJDi4+P1r3/9SzNnztTChQs1duzYdB9/5swZRUVFqVevXlkXMo86dOiQ/Pz8tGrVKn3//fcaPXq0Ro0apTlz5qTu4+npqW7dumnWrFk2JnUBA2OMMSkpKaZXr17Gw8PDbNu27ZHHqVWrlnnjjTdSv09OTjYBAQFm4sSJGR7r1q1bplmzZqZw4cLm6NGjj5wJOcOePXtMgQIFTMeOHU1ycvIjj+PK1+Cnn35qHA6HGTZs2CPnQd5z9uxZI8lERkbaHQX30bNnT9OmTZs029q3b2+ef/55Y4wxy5cvN97e3ubUqVOpjw8YMMBUrFjRXLt2zRhjzNSpU03NmjUfOMehQ4eMJLN27Vrz0ksvGR8fH1OoUCFTvXp18/XXXxtjjDl37pzp0qWLCQgIMAULFjSVK1c2a9asSTPOE088YWbOnJlmW9WqVc3YsWNTv09MTDT9+vUzfn5+Jn/+/Oa5554zmzdvTn189+7dpl69eqZAgQKmdOnSZvDgwebq1avGGGMaNmxoJN3ztXTp0of+HCWZRYsWmbZt25qCBQuaChUqmE2bNqV5/ocOHXroOOkxcOBA06hRozTbdu3aZTw9Pc3169ddMocdOBP6/zkcDn300Udq0qSJ2rdvryNHjmR4jKSkJB06dEhNmzZN3ebm5qamTZtq//79GRrLGKO+fftqx44d+vzzz1WlSpUM50HO8uKLL2rt2rXauHGjwsPDH+kaZVe+Br/88kt1795dXbp00eTJkzOcBUDOcOzYMe3bt0+enp6SpNDQULVo0UKvvvqq7ty5o+joaC1evFirV6+Wl5eXJGn37t2qWbPmQ8ceM2aMSpcura+//lqHDh3SyJEj5eHhIUm6efOmatSooejoaB07dkz9+vVTjx49MnT5UEpKioKDg7V3716tWrVKx48f16RJk1Lvm/jpp58UFBSkDh066Ntvv9W6deu0Z88eDRo0SJL02WefKT4+Xhs3bpQkxcfHKz4+Xp07d07X/H/961/VqVMnffvtt6k/swsXLqQ7f3pdunRJjz32WJptNWvW1J07d3TgwAGXz2cZu1twdnPlyhVTo0YN4+/vb06fPp2hY+Pi4owks2/fvjTbhw8fbmrVqpWhsUaNGpX6VyTylnnz5hlJZtq0aRk+1lWvwWPHjpmiRYuaxo0bm5s3b2Y4B/I2zoRmbz179jT58uUz3t7eJn/+/EaScXNzMxs2bEjd58KFC6Z06dJmwIABpmTJkub9999PM0bVqlXN3/72twfOcfdMoLe3t1m2bFm6s7Vs2dIMHTo09fuHnQndunWrcXNzMydPnrzveK+99prp169fmm27d+82bm5u5saNG6nbduzYYTJaiSSZMWPGpH5/9epVI8nExMS49Ezo3r17jbu7u9m6des9jxUrVixDP9/sxt2m7ptt+fj4KDo6WnXr1lVQUJD27t2r4sWLW5ph7ty5mjhxoqZPn64uXbpYOjfsN2DAAMXGxmrYsGEKCAhQ165dLZ0/Li5OwcHBKlu2rD777DMWowdyoUaNGmn+/Pm6du2aZs6cKXd3d3Xo0CH18WLFimnJkiVq3ry56tatq5EjR6Y5/saNG/fcJOvj45P676CgIEnSq6++qr59+2rlypVq2rSpOnbsqPLly0uSkpOTNWHCBK1fv15xcXFKSkrSrVu3Us+2pseRI0dUunRpPfPMM/d9/OjRo/r222/T3O9hjFFKSopOnz6twMDAdM91P//3XUpvb28VLlxYv/32m/z8/DI17l3Hjh1TmzZtNHbsWDVr1uyexwsWLKjr16+7ZC478Hb8fZQsWVJOp1Pnz59X69atdePGjXQd5+vrq3z58ikhISHN9oSEBPn7+6drjIiICA0ePFhvvfWWwsPDM5wducP48eMVGhqqnj176u9//3u6j8vsa/DSpUsKDg6Ww+FQTEyMihQpkuHsALI/b29vVahQQVWrVtXHH3+sAwcOaMmSJWn2+fLLL5UvXz7Fx8fr2rVraR7z9fW95xMHjxw5kvrVv39/Sf9z4+/333+vli1b6u9//7sqVaqkiIgISdLUqVP14YcfasSIEdqxY4eOHDmi5s2bKykpKXVMNze3ey5Nun37duq/CxYs+IfP8+rVqwoLC0uT7ejRo/rxxx9Ty3Bm3L204C6Hw6GUlJRMjytJx48fV5MmTdSvXz+NGTPmvvtcuHBBJUqUcMl8dqCEPsDTTz+t6OhoHTlyRN26dUvXYvaenp6qUaOGtm/fnrotJSVF27dvV506dR56/J49e9S1a1d17NjRZctFIWdyOBxavHixGjdurHbt2uno0aPpOi4zr8Fbt26pXbt2io2NldPpVEBAQKaeA4Ccwc3NTW+//bbGjBmTetJl3759mjx5sjZv3iwfH5/Uayjvev7553X8+PE02ypUqJD69X+vX3zmmWf01ltv6YsvvlD79u21dOlSSdLevXvVpk0bde/eXVWrVtVTTz2lU6dOpRmzRIkSio+PT/3+8uXLOn36dOr3VapUUWxs7D3H3VW9enUdP348Tba7X3evgc2Ovv/+ezVq1Eg9e/bU+++/f999fvrpJ928eVPPP/+8xelchxL6B2rVqqX169dr8+bNevPNN9N1o0h4eLgWLVqk5cuX68SJExowYICuXbum3r17/+FxJ06cUOvWrVWnTh2tWLFCbm78p8nrPDw89Omnn6pChQoKDg7WL7/8kq7jHuU1mJKSol69emnfvn2KjIzM9FtUAHKWjh07Kl++fJo7d66uXLmiHj166M0331RwcLBWr16tdevWacOGDan7N2/eXPv373/oCZrJkydr586d+uWXX7R37159/fXXqb9fnn76aW3btk379u3TiRMnFBYWds+7OI0bN9bKlSu1e/dufffdd+rZs2eaD2tp2LChGjRooA4dOmjbtm06ffq0YmJi5HQ6JUkjRozQvn37NGjQIB05ckQ//vijNm3adE+pzk6OHTumRo0aqVmzZgoPD9fZs2d19uxZ/f7772n22717t5566imXnNG1jc3XpOYIixYtMpLMhAkT0rX/7NmzTdmyZY2np6epVauW+eqrr/5w/7i4OFO2bFlTuXJlk5iY6ILEyE3i4+PNk08+aQIDA8358+fTdUxGX4NDhw41DofDbNy40RWRkcdxY1L2dr8lmowxZuLEiaZEiRKmV69e5k9/+lOamxKnT59uHnvsMRMbG2uMMeb27dsmICDAOJ3O+85x98ac5s2bmzJlyhhPT08TEBBgBg0alHpD0Pnz502bNm2Mj4+P8fPzM2PGjDGhoaFpsl26dMl07tzZFC5c2JQpU8YsW7bsniWazp8/b3r37m2KFy9uChQoYCpXrmyioqJSHz948KB5+eWXjY+Pj/H29jZVqlS550arR70xKSIiIs22IkWKmKVLl2bqxqSxY8fed9moJ554Is1+zZo1e6Sl97ITSmg6vffee0aSy+9Cu3jxoqlSpYopXbq0+fXXX106NnKPkydPmuLFi5sXX3zR5WvCzZgxw0gys2fPdum4yLsooXnDnDlzTLNmze77mKvXycxqj1JC/0hWP/9jx44ZPz8/c/HixSwZ3yq855tO7777rvr27au+fftq69atLhkzKSlJ7du315kzZ+R0OlW6dGmXjIvc55lnnlFUVJQOHz6s7t27p+sa5fS4++lKI0eOzNZvTwHIfsLCwtSgQYNc8dnxdevWTXPtaXYXHx+vFStW5PybR+1uwTnJ7du3TcuWLY23t7f5xz/+kamxkpOTTbdu3Yynp6fZtWuXixIit4uMjDRubm7mjTfeMCkpKZkaa8eOHcbT09P06NEj02MB/xdnQpHTzoT+p1WrVhlvb+/7flWqVOmhx3fo0MFIMgULFrzn+LCwsAeOHRYWZsGzyz5YJzQD3N3dtW7dOjVu3FgtW7bU/v379eSTTz7SWCNHjtTatWu1bt06NWjQwMVJkVuFhIRo/vz5CgsLU5kyZTRixIhHGue7775T27Zt1bBhQy1evFgOh8PFSQEg52rdurVq165938f+c1mm++nfv782btyotWvX6rnnnkvzWOHChTVs2LD7Hle4cOGMh83BKKEZ5O3traioqDSL2fv6+mZojFmzZqWuj9axY8csSorcql+/foqLi9PIkSNVqlQpde/ePUPH//rrrwoODtZTTz2ljRs3ZutlSgDADoUKFVKhQoUe+fi7S1SVKVNGFSpUuOdxVy1mn9NxTegjKFGihJxOpy5evKiQkJAMfVrBhg0bNGTIEA0fPlxvvvlmFqZEbvbee++pT58+6t27t7Zt25bu4xITExUcHCwPDw9t2bIlU79kAQDIDEroIypfvryio6P13XffqWvXrrpz585Dj/nyyy/VvXt3de3aVZMmTbIgJXIrh8OhBQsWqFmzZmrfvr2++eabhx5z8+ZNtW3bVvHx8XI6nen+FC8AALICJTQTatasqQ0bNig6OlpvvPHGHy5m//3336tNmzaqV6+eli5dymL0yDQPDw+tX79egYGBatGihX7++ecH7puSkqLQ0FAdPHhQUVFRqlixonVBAQC4D5pQJgUFBWnx4sX66KOPHvjRWrGxsQoKClLZsmW5Bg8udfcaZW9vbwUFBen8+fP37GOMUXh4uDZu3KhPPvkkXR8hCwBAVqOEukCvXr00btw4vfPOO6mfiXvXxYsXFRwcLDc3N8XExOT8Nb2Q7fj5+cnpdOrChQsKCQlJ/eznu2bMmKEPP/xQc+fOVZs2bWxKCQBAWpRQFxk9erTCwsL0+uuvKyYmRpJ069YttWvXTnFxcXI6nQoICLA5JXKrChUqKCoqSkePHlXXrl1TF7Nfu3athg0bptGjR6t///42pwQA4H+xRJOLOBwOzZkzR/Hx8XrllVe0Y8cOzZgxQ/v379d///d/KzAw0O6IyOVq1aql9evXq02bNho8eLA6dOignj17qmfPnho3bpzd8QAASIMS6kLu7u5au3atmjRponr16unOnTvasGGD6tWrZ3c05BEtW7bUwoUL1bdvXy1evFiNGzfWokWLWIwegC1OnDhhdwRb5NXnnVGUUBfz8vLS5s2bNWTIEDVp0kTt27e3OxLymNdee03Xrl3TkSNHNGvWrHR9ugcAuJKvr6+8vLwy/GEauYmXl1eGP8wmr3GYP1pXCACADEpISJC/v78iIyMVEhJidxzY5MyZMzp37pwtc48cOVKXL1/WvHnzbJlf+p8iXrZsWdvmzwk4EwoAAFyubNmytpWwYsWKSZKqV69uy/xIH+6OBwAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAkEE///yzHA6Hjhw58sB9du7cKYfDoYsXL1qWKyehhAIAAGSBunXrKj4+XkWKFJEkLVu2TEWLFrU3VDbCOqEAAABZwNPTU/7+/nbHyLY4EwoAAPKca9euKTQ0VD4+Pnr88cc1ffp0vfTSSxoyZIgkyeFw6PPPP09zTNGiRbVs2bI023744QfVrVtXBQoUUOXKlbVr167Ux/7v2/E7d+5U7969denSJTkcDjkcDr333ntZ+ySzOUooAADIc4YPH65du3Zp06ZN+uKLL7Rz504dPnz4kcYZOnSovvnmG9WpU0chISE6f/78PfvVrVtXH3zwgQoXLqz4+HjFx8dr2LBhrngqORYlFAAA5ClXr17VkiVLNG3aNDVp0kR/+tOftHz5ct25cyfDYw0aNEgdOnRQYGCg5s+fryJFimjJkiX37Ofp6akiRYrI4XDI399f/v7+8vHxccXTybEooQAAIE/56aeflJSUpNq1a6due+yxx1SxYsUMj1WnTp3Uf7u7u6tmzZo6ceKES3LmdpRQAACA/+BwOGSMSbPt9u3bNqXJnSihAAAgTylfvrw8PDx04MCB1G2JiYk6depU6vclSpRQfHx86vc//vijrl+/fs9YX331Veq/79y5o0OHDikwMPC+83p6eio5OdkVTyFXYIkmAACQp/j4+Oi1117T8OHDVbx4cfn5+Wn06NFyc/vfc3ONGzfWnDlzVKdOHSUnJ2vEiBHy8PC4Z6y5c+fq6aefVmBgoGbOnKnExET16dPnvvOWK1dOV69e1fbt21W1alV5eXnJy8sry55ndseZUAAAkOdMnTpV9evXV0hIiJo2bap69eqpRo0aqY9Pnz5dZcqUUf369dWtWzcNGzbsvoVx0qRJmjRpkqpWrao9e/YoMjJSvr6+952zbt266t+/vzp37qwSJUpoypQpWfb8cgKH+c8LHgAAyISEhAT5+/srMjJSISEhdsdBHtS5c2clJibqiy++yNBxL730kqpVq6YPPvgga4IhDc6EAgAAwHKUUAAAAFiOG5MAAAD0Px+zCetwJhQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy7nbHQAAAOQuFy5c0Mcff2zb/D/88INu3LihadOm2ZahW7duCggIsG3+nIASCgAAXGrNmjUaPny4PD09VbBgQdtyjB8/3vI5b968qVu3bunGjRt65513LJ8/J6GEAgAAlwoNDdXixYt17tw57d+/X2XKlLE7kiV+//131a1bVw6HQwMGDLA7TrbHNaEAAMClChcurC1btsjd3V3BwcG6ePGi3ZGy3LVr19SqVStduXJFTqdTvr6+dkfK9iihAADA5QICAuR0OhUfH6+2bdvq5s2bdkfKMnfu3FHnzp11/PhxbdmyRU899ZTdkXIESigAAMgSzz77rCIjI3XgwAGFhoYqJSXF7kguZ4zRgAEDtHXrVm3cuFHVq1e3O1KOQQkFAABZ5sUXX9TatWu1ceNGhYeHyxhjdySXGjdunBYvXqwlS5aoWbNmdsfJUSihAAAgS7Vt21Zz5szRhx9+qBkzZtgdx2WWLFmisWPHasKECQoNDbU7To7D3fEAACDLDRgwQLGxsRo2bJhKlSqlLl262B0pU6KjoxUWFqaBAwdq5MiRdsfJkSihAADAEuPHj1dsbKxCQ0Pl5+enxo0b2x3pkRw8eFCdOnVSSEiIZs2aJYfDYXekHIm34wEAgCUcDocWL16sRo0aqV27dvr222/tjpRh//znP9WyZUtVq1ZNa9asUb58+eyOlGNRQgEAgGU8PDy0YcMGlS9fXsHBwTpz5ozdkdItISFBzZs3V/HixRUZGWnrp0HlBpRQAABgqUKFCmnLli3y9PRUUFCQLly4YHekh7p69apatWql69evy+l0qnjx4nZHyvEooQAAwHL+/v5yOp367bff1KZNm2y9mP3t27fVqVMnnTx5UjExMSpXrpzdkXIFSigAALBFxYoVFRUVpUOHDql79+5KTk52ybhz585VuXLlVKBAAdWuXVsHDx585LGMMQoLC9O2bdv02WefqVq1ai7JCEooAACw0QsvvKBPPvlEERERGjJkSKYXs1+3bp3Cw8M1duxYHT58WFWrVlXz5s3122+/PdJ4Y8eO1dKlS7V06VI1bdo0U9mQFiUUAADYqnXr1po3b57mzJmjqVOnZmqsGTNm6PXXX1fv3r1VqVIlLViwQF5eXvr4448zPNbChQs1btw4TZ48Wd27d89ULtyLdUIBAIDtwsLCFBcXpxEjRiggIOCRSl9SUpIOHTqkUaNGpW5zc3NT06ZNtX///gyNFRkZqYEDB2rw4MEaPnx4hrPg4SihAAAgW/jrX/+q2NhY9e7dWyVLltTLL7+coePPnTun5ORklSxZMs32kiVL6ocffkj3OF999ZW6dOmidu3aaebMmSxGn0V4Ox4AAGQLDodDCxcu1Msvv6z27dvrm2++sTzDqVOn1KpVK9WsWVOrVq1iMfosRAkFAADZhoeHh9avX69nn31WLVq00M8//5zuY319fZUvXz4lJCSk2Z6QkCB/f/+HHn/27FkFBQWpZMmS2rRpkwoUKJDR+MgASigAAMhWfHx8FB0dLW9vbwUFBen8+fPpOs7T01M1atTQ9u3bU7elpKRo+/btqlOnzh8ee+XKFbVs2VK3bt1STEyMihUrlqnngIejhAIAgGzHz89PTqdT58+fV0hIiG7cuJGu48LDw7Vo0SItX75cJ06c0IABA3Tt2jX17t37gcfcvn1br7zyiv75z38qJiZGZcuWddXTwB/gxiQAAJAtVahQQdHR0WrUqJG6du2qjRs3PvQazc6dO+v333/Xu+++q7Nnz6patWpyOp333Kx0lzFGffv21Y4dO+R0OlWlSpWseCq4D86EAgCAbKtWrVpav369oqKiNHjw4HQtZj9o0CD98ssvunXrlg4cOKDatWs/cN8xY8ZoxYoVWr58uRo3buzK6HgISigAAMjWWrZsqQULFmj+/PmaOHGiy8adN2+eJkyYoGnTpqlr164uGxfpw9vxAAAg2+vbt6/i4uI0evRoBQQEqFevXpkaLyIiQoMGDdKQIUMUHh7umpDIEEooAADIEd59913Fxsbq9ddf1+OPP67mzZs/0jh79+5Vt27d1LFjR02fPp3F6G3C2/EAACBHcDgcmj9/vpo3b64OHTro0KFDGR7jxIkTCgkJUe3atbV8+XK5uVGF7MJPHgAA5Bju7u5at26dnnvuObVo0UL/+te/0n3sv//9bwUFBSkgIECff/45i9HbjBIKAAByFG9vb0VFRalw4cIKCgrSuXPnHnrM5cuX1aJFC6WkpMjpdKpo0aJZHxR/iBIKAABynBIlSsjpdOrSpUtq1aqVrl+//sB9k5KS1KFDB/3888+KiYlR6dKlLUyKB6GEAgCAHKl8+fKKjo7WsWPH1KVLF925c+eefVJSUtSnTx99+eWX2rRpkypXrmxDUtwPJRQAAORYNWvW1IYNG7RlyxYNHDjwnsXs3377ba1Zs0YrV65Uw4YNbUqJ+6GEAgCAHC0oKEiLFy/WokWLNH78+NTts2fP1uTJkzVz5kx16tTJxoS4H9YJBQAAOV6vXr0UGxurd955R6VKlVKRIkX05z//WUOHDtWf//xnu+PhPiihAAAgVxg9erRiY2PVr18/ubu7q3PnzpoyZYrdsfAAlFAAAJArOBwOzZkzR5J048YNffTRRyxGn41RQgEAQK7h7u6uBQsW2B0D6cCfBwAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACxHCQUAAIDlKKEAAACwHCUUAAAAlqOEAgAAwHKUUAAAAFiOEgoAAADLUUIBAABgOUooAAAALEcJBQAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACxHCQUAAIDlKKEAAACwHCUUAAAAlqOEAgAAwHKUUAAAAFiOEgoAAADLUUIBAABgOUooAAAALEcJBQAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgBwqSJFimj9+vWqUaOG3VEAZGMOY4yxOwQAAADyFs6EAgAAwHKUUAAAAFiOEgoAAADLUUIBAABgOUooAAAALEcJBQAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACxHCQUAAIDlKKEAAACwHCUUAAAAlqOEAgAAwHKUUAAAAFiOEgoAAADLUUIBAABgOUooAAAALEcJBQAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACxHCQUAAIDlKKEAAACwHCUUAAAAlqOEAgAAwHKUUAAAAFiOEgoAAADLUUIBAABgOUooAAAALEcJBQAAgOUooQAAALAcJRQAAACWo4QCAADAcpRQAAAAWI4SCgAAAMtRQgEAAGA5SigAAAAsRwkFAACA5SihAAAAsBwlFAAAAJajhAIAAMBylFAAAABYjhIKAAAAy1FCAQAAYDlKKAAAACxHCQUAAIDlKKEAAACwHCUUAAAAlqOEAgAAwHKUUAAAAFiOEgoAAADL/T88ZQ3tfU2wrgAAAABJRU5ErkJggg==", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -305,7 +305,7 @@ "dev_circuits = [ansatz(diagram) for diagram in dev_diagrams]\n", "test_circuits = [ansatz(diagram) for diagram in test_diagrams]\n", "\n", - "train_circuits[0].draw(figsize=(6, 8))" + "train_circuits[0].draw(figsize=(8, 8))" ] }, { @@ -600,23 +600,24 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 1: train/loss: 0.1207 valid/loss: 0.0919 train/acc: 0.7857 valid/acc: 0.8667\n", - "Epoch 2: train/loss: 0.0486 valid/loss: 0.1035 train/acc: 0.9286 valid/acc: 0.9000\n", - "Epoch 3: train/loss: 0.0364 valid/loss: 0.0621 train/acc: 0.9429 valid/acc: 0.9333\n", - "Epoch 4: train/loss: 0.0466 valid/loss: 0.0392 train/acc: 0.9857 valid/acc: 1.0000\n", - "Epoch 5: train/loss: 0.0120 valid/loss: 0.0126 train/acc: 0.9857 valid/acc: 1.0000\n", - "Epoch 6: train/loss: 0.0014 valid/loss: 0.0178 train/acc: 1.0000 valid/acc: 1.0000\n", - "Epoch 7: train/loss: 0.0022 valid/loss: 0.0079 train/acc: 1.0000 valid/acc: 1.0000\n", - "Epoch 8: train/loss: 0.0041 valid/loss: 0.0061 train/acc: 1.0000 valid/acc: 1.0000\n", - "Epoch 9: train/loss: 0.0003 valid/loss: 0.0108 train/acc: 1.0000 valid/acc: 1.0000\n", - "Epoch 10: train/loss: 0.0001 valid/loss: 0.0205 train/acc: 1.0000 valid/acc: 0.9667\n", - "Epoch 11: train/loss: 0.0001 valid/loss: 0.0281 train/acc: 1.0000 valid/acc: 0.9667\n", - "Epoch 12: train/loss: 0.0005 valid/loss: 0.0309 train/acc: 1.0000 valid/acc: 0.9667\n", - "Epoch 13: train/loss: 0.0004 valid/loss: 0.0314 train/acc: 1.0000 valid/acc: 0.9667\n", - "Epoch 14: train/loss: 0.0004 valid/loss: 0.0308 train/acc: 1.0000 valid/acc: 0.9667\n", - "Epoch 15: train/loss: 0.0011 valid/loss: 0.0286 train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 1: train/loss: 0.1207 valid/loss: 0.0919 train/time: 0.71s valid/time: 0.16s train/acc: 0.7857 valid/acc: 0.8667\n", + "Epoch 2: train/loss: 0.0486 valid/loss: 0.1035 train/time: 0.50s valid/time: 0.17s train/acc: 0.9286 valid/acc: 0.9000\n", + "Epoch 3: train/loss: 0.0364 valid/loss: 0.0621 train/time: 0.49s valid/time: 0.17s train/acc: 0.9429 valid/acc: 0.9333\n", + "Epoch 4: train/loss: 0.0466 valid/loss: 0.0392 train/time: 0.62s valid/time: 0.18s train/acc: 0.9857 valid/acc: 1.0000\n", + "Epoch 5: train/loss: 0.0120 valid/loss: 0.0126 train/time: 0.49s valid/time: 0.18s train/acc: 0.9857 valid/acc: 1.0000\n", + "Epoch 6: train/loss: 0.0014 valid/loss: 0.0178 train/time: 0.49s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 7: train/loss: 0.0022 valid/loss: 0.0079 train/time: 0.60s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 8: train/loss: 0.0041 valid/loss: 0.0061 train/time: 0.48s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 9: train/loss: 0.0003 valid/loss: 0.0108 train/time: 0.47s valid/time: 0.17s train/acc: 1.0000 valid/acc: 1.0000\n", + "Epoch 10: train/loss: 0.0001 valid/loss: 0.0205 train/time: 0.60s valid/time: 0.17s train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 11: train/loss: 0.0001 valid/loss: 0.0281 train/time: 0.50s valid/time: 0.16s train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 12: train/loss: 0.0005 valid/loss: 0.0309 train/time: 0.54s valid/time: 0.22s train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 13: train/loss: 0.0004 valid/loss: 0.0314 train/time: 0.57s valid/time: 0.18s train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 14: train/loss: 0.0004 valid/loss: 0.0308 train/time: 0.52s valid/time: 0.17s train/acc: 1.0000 valid/acc: 0.9667\n", + "Epoch 15: train/loss: 0.0011 valid/loss: 0.0286 train/time: 0.47s valid/time: 0.17s train/acc: 1.0000 valid/acc: 0.9667\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 8.06s train/time_per_epoch: 0.54s train/time_per_step: 0.08s valid/time: 2.60s valid/time_per_eval: 0.17s\n" ] } ], @@ -647,7 +648,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -722,13 +723,13 @@ "output_type": "stream", "text": [ "Epoch: 0\n", - "Train loss: 1.8359988629817963\n", + "Train loss: 1.835998997092247\n", "Dev acc: 0.5333333333333333\n", "Epoch: 5\n", - "Train loss: 0.19099989160895348\n", + "Train loss: 0.19097438035532832\n", "Dev acc: 0.9\n", "Epoch: 10\n", - "Train loss: 0.059448788000736386\n", + "Train loss: 0.05956625810358673\n", "Dev acc: 0.9666666666666667\n" ] } @@ -1011,20 +1012,20 @@ "output_type": "stream", "text": [ "Epoch: 0\n", - "Train loss: 4.2918784618377686\n", + "Train loss: 4.291878283023834\n", "Dev acc: 0.53\n", "Epoch: 5\n", - "Train loss: 3.722463011741638\n", - "Dev acc: 0.54\n", + "Train loss: 3.321199357509613\n", + "Dev acc: 0.55\n", "Epoch: 10\n", - "Train loss: 0.5063610002398491\n", - "Dev acc: 0.9\n", + "Train loss: 0.38510115444660187\n", + "Dev acc: 0.955\n", "Epoch: 15\n", - "Train loss: 5.019097626209259\n", - "Dev acc: 0.56\n", + "Train loss: 0.9513051249086857\n", + "Dev acc: 0.77\n", "Epoch: 20\n", - "Train loss: 2.7006355822086334\n", - "Dev acc: 0.6\n", + "Train loss: 4.628978729248047\n", + "Dev acc: 0.525\n", "Early stopping\n" ] } @@ -1072,7 +1073,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Final test accuracy: 0.95\n" + "Final test accuracy: 0.945\n" ] } ], @@ -1100,10 +1101,10 @@ { "data": { "text/plain": [ - "array([[0.9858948 ],\n", - " [0.91964245],\n", - " [0.03415415],\n", - " [0.15316254]], dtype=float32)" + "array([[0.9993979 ],\n", + " [0.65196735],\n", + " [0.00569755],\n", + " [0.1350544 ]], dtype=float32)" ] }, "execution_count": 32, @@ -1165,7 +1166,7 @@ { "data": { "text/plain": [ - "array([0.3952476 , 0.60475236], dtype=float32)" + "array([0.42397027, 0.57602973])" ] }, "execution_count": 34, @@ -1198,7 +1199,7 @@ { "data": { "text/plain": [ - "array([0.92366177, 0.07633827], dtype=float32)" + "array([0.95847886, 0.04152114])" ] }, "execution_count": 35, diff --git a/docs/tutorials/trainer-quantum.ipynb b/docs/tutorials/trainer-quantum.ipynb index 92b9d587..bb55432b 100644 --- a/docs/tutorials/trainer-quantum.ipynb +++ b/docs/tutorials/trainer-quantum.ipynb @@ -372,9 +372,9 @@ "outputs": [ { "data": { - "image/png": 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", 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"text/plain": [ - "
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" ] }, "metadata": {}, @@ -387,7 +387,7 @@ "original_diagram = train_diagrams[0]\n", "removed_cups_diagram = remove_cups(original_diagram)\n", "\n", - "draw_equation(original_diagram, removed_cups_diagram, symbol='-->', figsize=(9, 6), asymmetry=0.3, fontsize=12)" + "draw_equation(original_diagram, removed_cups_diagram, symbol='-->', figsize=(30, 6), asymmetry=0.3, fontsize=14)" ] }, { @@ -507,7 +507,7 @@ " optim_hyperparams={'a': 0.05, 'c': 0.06, 'A':0.001*EPOCHS},\n", " evaluate_functions=eval_metrics,\n", " evaluate_on_train=True,\n", - " verbose = 'text',\n", + " verbose='text',\n", " log_dir='RelPron/logs',\n", " seed=0\n", ")" @@ -570,21 +570,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "Epoch 1: train/loss: 0.5620 valid/loss: 2.4878 train/acc: 0.6214 valid/acc: 0.6613\n", - "Epoch 2: train/loss: 0.7484 valid/loss: 2.3023 train/acc: 0.4786 valid/acc: 0.4355\n", - "Epoch 3: train/loss: 0.5687 valid/loss: 2.1669 train/acc: 0.5714 valid/acc: 0.4839\n", - "Epoch 4: train/loss: 0.5116 valid/loss: 1.7920 train/acc: 0.6071 valid/acc: 0.6935\n", - "Epoch 5: train/loss: 2.6042 valid/loss: 1.9361 train/acc: 0.7286 valid/acc: 0.7742\n", - "Epoch 6: train/loss: 0.6296 valid/loss: 1.4529 train/acc: 0.6000 valid/acc: 0.5000\n", - "Epoch 7: train/loss: 0.5425 valid/loss: 1.4265 train/acc: 0.5643 valid/acc: 0.5806\n", - "Epoch 8: train/loss: 2.1077 valid/loss: 2.3139 train/acc: 0.5000 valid/acc: 0.3871\n", - "Epoch 9: train/loss: 0.2571 valid/loss: 2.4732 train/acc: 0.6643 valid/acc: 0.6129\n", - "Epoch 10: train/loss: 1.7144 valid/loss: 2.9791 train/acc: 0.6929 valid/acc: 0.5000\n", + "Epoch 1: train/loss: 0.9327 valid/loss: 3.2976 train/time: 13.22s valid/time: 2.94s train/acc: 0.5143 valid/acc: 0.5645\n", + "Epoch 2: train/loss: 2.1623 valid/loss: 1.4883 train/time: 14.20s valid/time: 2.83s train/acc: 0.5929 valid/acc: 0.6290\n", + "Epoch 3: train/loss: 0.2750 valid/loss: 1.7657 train/time: 13.35s valid/time: 3.04s train/acc: 0.6429 valid/acc: 0.7742\n", + "Epoch 4: train/loss: 1.0235 valid/loss: 2.0944 train/time: 12.91s valid/time: 2.75s train/acc: 0.5786 valid/acc: 0.5161\n", + "Epoch 5: train/loss: 0.7471 valid/loss: 1.1852 train/time: 13.02s valid/time: 2.87s train/acc: 0.6571 valid/acc: 0.7581\n", + "Epoch 6: train/loss: 0.9657 valid/loss: 2.0165 train/time: 12.81s valid/time: 2.91s train/acc: 0.5571 valid/acc: 0.4839\n", + "Epoch 7: train/loss: 0.8952 valid/loss: 1.7803 train/time: 12.73s valid/time: 3.00s train/acc: 0.5714 valid/acc: 0.7258\n", + "Epoch 8: train/loss: 3.7057 valid/loss: 2.4827 train/time: 12.86s valid/time: 2.78s train/acc: 0.4571 valid/acc: 0.6613\n", "Early stopping!\n", - "Best model (epoch=5, step=35) saved to\n", + "Best model (epoch=3, step=21) saved to\n", "RelPron/logs/best_model.lt\n", "\n", - "Training completed!\n" + "Training completed!\n", + "train/time: 1m45s train/time_per_epoch: 13.14s train/time_per_step: 1.88s valid/time: 23.12s valid/time_per_eval: 2.89s\n" ] } ], @@ -618,7 +617,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] diff --git a/lambeq/backend/quantum.py b/lambeq/backend/quantum.py index 93ee16d9..820c4a10 100644 --- a/lambeq/backend/quantum.py +++ b/lambeq/backend/quantum.py @@ -214,7 +214,7 @@ def __getattr__(self, name: str) -> Any: gate = GATES[name] if callable(gate): return partial(self.apply_parametrized_gate, gate) - return partial(self.apply_gate, gate) + return partial(self.apply_gate, gate) # type: ignore[arg-type] except KeyError: return super().__getattr__(name) # type: ignore[misc] @@ -308,7 +308,7 @@ def eval(self, for i, circuit in enumerate(circuits): n_bits = len(circuit.post_processing.dom) - result = np.zeros(*(n_bits * (2, ))) + result = np.zeros((n_bits * (2, ))) for bitstring, count in counts[i].items(): result[bitstring] = count if circuit.post_processing: @@ -632,8 +632,15 @@ def generate_spider(type: Ty, n_legs_in: int, n_legs_out: int) -> Diagram: if i == o == 1: return Id(type) + if type == Ty(): + return Id() + + if type != qubit: + raise NotImplementedError('Multi-qubit spiders are not presently' + ' supported.') + if (i, o) == (1, 0): - return cast(Diagram, Sqrt(2) >> H >> Bra(0)) + return cast(Diagram, Sqrt(2) @ H >> Bra(0)) if (i, o) == (2, 1): return cast(Diagram, CX >> Id(qubit) @ Bra(0)) if o > i: diff --git a/lambeq/core/utils.py b/lambeq/core/utils.py index 08eeea9d..e63d521d 100644 --- a/lambeq/core/utils.py +++ b/lambeq/core/utils.py @@ -15,6 +15,7 @@ from __future__ import annotations from collections.abc import Iterable, Iterator, Mapping +from math import floor from typing import Any, List, Union from lambeq.backend.grammar import Diagram @@ -60,3 +61,54 @@ def flatten(diagrams: Iterable[Any]) -> Iterator[Diagram]: yield from flatten(d.values()) elif isinstance(d, Iterable): yield from flatten(d) + + +def normalise_duration(duration_secs: float | None) -> str: + """Normalise a duration value in seconds into a more human-readable + form. + + >>> normalise_duration(4890.0) + '1h21m30s' + >>> normalise_duration(65.0) + '1m5s' + >>> normalise_duration(0.29182375) + '0.29s' + >>> normalise_duration(0.29682375) + '0.30s' + >>> normalise_duration(None) + 'None' + + Parameters + ---------- + duration_secs : float + The duration value in seconds. + + """ + if duration_secs is None: + return 'None' + + seconds_in_day = 24 * 60 * 60 + seconds_in_hour = 60 * 60 + seconds_in_min = 60 + + days = floor(duration_secs / seconds_in_day) + duration_secs -= days * seconds_in_day + hours = floor(duration_secs / seconds_in_hour) + duration_secs -= hours * seconds_in_hour + minutes = floor(duration_secs / seconds_in_min) + secs = duration_secs - minutes * seconds_in_min + + out = [] + if days: + out.append(f'{days}d') + if hours: + out.append(f'{hours}h') + if minutes: + out.append(f'{minutes}m') + + if len(out): + out.append(f'{round(secs):.0f}s') + else: + out.append(f'{secs:.2f}s') + + return ''.join(out) diff --git a/lambeq/training/pytorch_model.py b/lambeq/training/pytorch_model.py index e8640e49..d3841cc8 100644 --- a/lambeq/training/pytorch_model.py +++ b/lambeq/training/pytorch_model.py @@ -36,7 +36,7 @@ class PytorchModel(Model, torch.nn.Module): """A lambeq model for the classical pipeline using PyTorch.""" weights: torch.nn.ParameterList - symbols: list[Symbol] # type: ignore[assignment] + symbols: list[Symbol] def __init__(self) -> None: """Initialise a PytorchModel.""" diff --git a/lambeq/training/quantum_trainer.py b/lambeq/training/quantum_trainer.py index bd17d216..0a02309d 100644 --- a/lambeq/training/quantum_trainer.py +++ b/lambeq/training/quantum_trainer.py @@ -196,7 +196,8 @@ def fit(self, eval_mode: str = EvalMode.EPOCH.value, early_stopping_criterion: str | None = None, early_stopping_interval: int | None = None, - minimize_criterion: bool = True) -> None: + minimize_criterion: bool = True, + full_timing_report: bool = False) -> None: self.model._training = True @@ -207,6 +208,7 @@ def fit(self, eval_mode, early_stopping_criterion, early_stopping_interval, - minimize_criterion) + minimize_criterion, + full_timing_report,) self.model._training = False diff --git a/lambeq/training/trainer.py b/lambeq/training/trainer.py index a0445585..2e426dc0 100644 --- a/lambeq/training/trainer.py +++ b/lambeq/training/trainer.py @@ -32,6 +32,7 @@ import random import socket import sys +import time from typing import Any, Callable, TYPE_CHECKING from tqdm.auto import tqdm, trange @@ -42,6 +43,7 @@ from lambeq.backend.numerical_backend import backend from lambeq.core.globals import VerbosityLevel +from lambeq.core.utils import normalise_duration from lambeq.training.checkpoint import Checkpoint from lambeq.training.dataset import Dataset from lambeq.training.model import Model @@ -128,11 +130,14 @@ def __init__(self, self.seed = seed self.train_costs: list[float] = [] + self.train_durations: list[float] = [] self.train_epoch_costs: list[float] = [] + self.train_epoch_durations: list[float] = [] self.train_eval_results: dict[str, list[Any]] = {} self._train_eval_running: dict[str, list[tuple[int, Any]]] = {} self.val_costs: list[float] = [] + self.val_durations: list[float] = [] self.val_eval_results: dict[str, list[Any]] = {} self._val_eval_running: dict[str, list[tuple[int, Any]]] = {} @@ -169,7 +174,13 @@ def _to_tensorboard(self, *args: Any) -> None: def _generate_stat_report(self, train_loss: float | None = None, - val_loss: float | None = None) -> str: + val_loss: float | None = None, + train_duration: float | None = None, + val_duration: float | None = None, + train_duration_mean: float | None = None, + val_duration_mean: float | None = None, + eval_mode: str = EvalMode.EPOCH.value, + full_timing_report: bool = False) -> str: """Generate the text to display with the progress bar. Parameters @@ -178,6 +189,16 @@ def _generate_stat_report(self, Current training loss. val_loss : float, optional Current validation loss. + train_duration: float, optional + Accumulated training time for the logging interval. + val_duration: float, optional + Accumulated validation time for the logging interval. + train_duration_mean: float, optional + Mean training time per epoch/step for the logging interval. + val_duration_mean: float, optional + Mean validation time per evaluation for the logging interval. + eval_mode: :py:class:`EvalMode`, default: 'epoch' + The evaluation mode passed to the :py:meth:`.fit` method. Returns ------- @@ -188,9 +209,25 @@ def _generate_stat_report(self, report = [] for name, value in [('train/loss', train_loss), - ('valid/loss', val_loss)]: + ('valid/loss', val_loss),]: str_value = f'{value:.4f}' if value is not None else '-----' report.append(f'{name}: {str_value}') + for name, value in [('train/time', train_duration), + ('valid/time', val_duration)]: + str_value = (normalise_duration(value) + if value is not None else '-----') + report.append(f'{name}: {str_value}') + + if full_timing_report: + # Mean durations are optional - they're mostly important + # when verbose='text' + for name, value in [(f'train/time_per_{eval_mode}', + train_duration_mean), + ('valid/time_per_eval', val_duration_mean)]: + if value is not None: + str_value = normalise_duration(value) + report.append(f'{name}: {str_value}') + if self.evaluate_on_train and self.evaluate_functions is not None: for name in self.train_eval_results: str_value = (f'{self.train_eval_results[name][-1]:.4f}' @@ -231,9 +268,12 @@ def load_training_checkpoint(self, log_dir: StrPathT) -> Checkpoint: # load the training history self.train_costs = checkpoint['train_costs'] + self.train_durations = checkpoint['train_durations'] self.train_epoch_costs = checkpoint['train_epoch_costs'] + self.train_epoch_durations = checkpoint['train_epoch_durations'] self.train_eval_results = checkpoint['train_eval_results'] self.val_costs = checkpoint['val_costs'] + self.val_durations = checkpoint['val_durations'] self.val_eval_results = checkpoint['val_eval_results'] self.start_epoch = checkpoint['epoch'] + 1 self.start_step = checkpoint['step'] @@ -342,8 +382,10 @@ def _step_and_eval(self, step_func: Callable, losses: list[tuple[int, Any]], eval_results: dict[str, list[Any]], + step_durations: list[Any], evaluate: bool = True) -> Any: """Perform a forward step and evaluate the metrics.""" + step_start = time.time() batch_size = len(batch[0]) y_hat, loss = step_func(batch) losses.append((batch_size, loss)) @@ -352,6 +394,10 @@ def _step_and_eval(self, for metr, func in self.evaluate_functions.items(): res = func(y_hat, batch[1]) eval_results[metr].append((batch_size, res)) + step_end = time.time() + step_duration = step_end - step_start + step_durations.append(step_duration) + return loss def _summarize_metric(self, @@ -359,7 +405,8 @@ def _summarize_metric(self, results: dict[str, list[Any]], interval: int, status_bar: tqdm, - mode: str) -> None: + mode: str, + full_timing_report: bool = False) -> None: """Calculate the metric results and write them to tensorboard and command-line.""" for name in eval_results: @@ -370,7 +417,12 @@ def _summarize_metric(self, self._generate_stat_report( train_loss=(self.train_costs[-1] if self.train_costs else None), - val_loss=self.val_costs[-1] if self.val_costs else None + val_loss=self.val_costs[-1] if self.val_costs else None, + train_duration=(self.train_durations[-1] if + self.train_durations else None), + val_duration=(self.val_durations[-1] if self.val_durations + else None), + full_timing_report=full_timing_report, ) ) @@ -426,7 +478,8 @@ def fit(self, eval_mode: str = EvalMode.EPOCH.value, early_stopping_criterion: str | None = None, early_stopping_interval: int | None = None, - minimize_criterion: bool = True) -> None: + minimize_criterion: bool = True, + full_timing_report: bool = False) -> None: """Fit the model on the training data and, optionally, evaluate it on the validation data. @@ -460,6 +513,8 @@ def fit(self, minimize_criterion: bool, default: True Flag indicating if we should minimize or maximize the early stopping criterion. + full_timing_report: bool, default: False + Flag for including mean timing statistics in the logs. Raises ------ @@ -520,6 +575,7 @@ def fit(self, leave=False, position=1): + epoch_start = time.time() train_losses: list[tuple[int, Any]] = [] for batch in tqdm(train_dataset, desc='Batch', @@ -534,6 +590,7 @@ def fit(self, self.training_step, train_losses, self._train_eval_running, + self.train_durations, self.evaluate_on_train ) @@ -542,17 +599,27 @@ def fit(self, self._generate_stat_report( train_loss=t_loss, val_loss=(self.val_costs[-1] if self.val_costs - else None) + else None), + train_duration=self.train_durations[-1], + val_duration=(self.val_durations[-1] if + self.val_durations else None), + full_timing_report=full_timing_report, ) ) + self._to_tensorboard('train/time', + self.train_durations[-1], + step) # calculate metrics on train dataset if self.evaluate_on_train and step % evaluation_step == 0: - self._summarize_metric(self._train_eval_running, - self.train_eval_results, - epoch, - status_bar, - mode='train') + self._summarize_metric( + self._train_eval_running, + self.train_eval_results, + epoch, + status_bar, + mode='train', + full_timing_report=full_timing_report, + ) # evaluate metrics on validation data if val_dataset is not None and step % evaluation_step == 0: @@ -568,12 +635,18 @@ def fit(self, v_batch, self.validation_step, val_loss, - self._val_eval_running + self._val_eval_running, + self.val_durations, ) status_bar.set_description( - self._generate_stat_report(train_loss=t_loss, - val_loss=v_loss) + self._generate_stat_report( + train_loss=t_loss, + val_loss=v_loss, + train_duration=self.train_durations[-1], + val_duration=self.val_durations[-1], + full_timing_report=full_timing_report, + ) ) self.val_costs.append( @@ -583,19 +656,28 @@ def fit(self, status_bar.set_description( self._generate_stat_report( train_loss=t_loss, - val_loss=self.val_costs[-1] + val_loss=self.val_costs[-1], + train_duration=self.train_durations[-1], + val_duration=self.val_durations[-1], + full_timing_report=full_timing_report, ) ) self._to_tensorboard('val/loss', self.val_costs[-1], epoch) + self._to_tensorboard('val/time', + self.val_durations[-1], + epoch) - self._summarize_metric(self._val_eval_running, - self.val_eval_results, - epoch, - status_bar, - mode='val') + self._summarize_metric( + self._val_eval_running, + self.val_eval_results, + epoch, + status_bar, + mode='val', + full_timing_report=full_timing_report, + ) # save best model criterion_vals = self.val_costs if early_stopping_criterion is not None: @@ -611,9 +693,12 @@ def fit(self, self.save_checkpoint( {'epoch': epoch, 'train_costs': self.train_costs, + 'train_durations': self.train_durations, 'train_epoch_costs': self.train_epoch_costs, 'train_eval_results': self.train_eval_results, 'val_costs': self.val_costs, + 'val_durations': self.val_durations, + 'train_epoch_durations': self.train_epoch_durations, # noqa: E501 'val_eval_results': self.val_eval_results, 'random_state': random.getstate(), 'step': step}, @@ -636,12 +721,36 @@ def fit(self, - len(str(step)) + 2) * ' ' prefix += f'Step {step}:' + step_space - print(prefix + self._generate_stat_report( + train_duration = ( + sum(self.train_durations[-logging_step:]) if + self.train_durations else None + ) + train_duration_mean = ( + train_duration + / (log_interval * eval_interval) + ) if train_duration else None + val_duration = ( + sum(self.val_durations[-log_interval:]) if + self.val_durations else None + ) + val_duration_mean = ( + val_duration / log_interval + ) if val_duration else None + print( + prefix + self._generate_stat_report( train_loss=(self.train_costs[-1] if self.train_costs else None), val_loss=(self.val_costs[-1] - if self.val_costs else None)), - file=sys.stderr) + if self.val_costs else None), + train_duration=train_duration, + val_duration=val_duration, + train_duration_mean=train_duration_mean, + val_duration_mean=val_duration_mean, + eval_mode=eval_mode, + full_timing_report=full_timing_report, + ), + file=sys.stderr + ) # check for early stopping early_stopping = self._check_early_stopping( @@ -652,20 +761,30 @@ def fit(self, if early_stopping: break # inner epoch loop + epoch_end = time.time() + epoch_duration = epoch_end - epoch_start + self.train_epoch_durations.append(epoch_duration) + # calculate epoch loss self.train_epoch_costs.append( self._get_weighted_mean(train_losses)) self._to_tensorboard('train/epoch_loss', self.train_epoch_costs[-1], epoch) + self._to_tensorboard('train/time_per_epoch', + self.train_epoch_durations[-1], + epoch) # save training stats checkpoint self.save_checkpoint( {'epoch': epoch, 'train_costs': self.train_costs, + 'train_durations': self.train_durations, 'train_epoch_costs': self.train_epoch_costs, 'train_eval_results': self.train_eval_results, + 'train_epoch_durations': self.train_epoch_durations, 'val_costs': self.val_costs, + 'val_durations': self.val_durations, 'val_eval_results': self.val_eval_results, 'random_state': random.getstate(), 'step': step}, @@ -681,5 +800,34 @@ def fit(self, break # break outer epoch loop status_bar.close() + + # Summarize timing statistics + total_training_time = sum(self.train_durations) + training_time_per_epoch = normalise_duration( + total_training_time / len(self.train_epoch_durations)) + training_time_per_step = normalise_duration( + total_training_time / len(self.train_durations)) + total_training_time_s = normalise_duration( + total_training_time) + total_validation_time = None + validation_time_per_eval = None + if len(self.val_durations): + total_validation_time = sum(self.val_durations) + validation_time_per_eval = normalise_duration( + total_validation_time / len(self.val_durations)) + total_validation_time_s = normalise_duration( + total_validation_time) + + timing_summary_desc = ( + f'train/time: {total_training_time_s}' + f' train/time_per_epoch: {training_time_per_epoch}' + f' train/time_per_step: {training_time_per_step}' + f' valid/time: {total_validation_time_s}' + f' valid/time_per_eval: {validation_time_per_eval}' + ) + if self.verbose == VerbosityLevel.TEXT.value: print('\nTraining completed!', file=sys.stderr) + + # Display timing summary regardless of verbosity + print(timing_summary_desc, file=sys.stderr) diff --git a/setup.cfg b/setup.cfg index 41bdff8d..43798199 100644 --- a/setup.cfg +++ b/setup.cfg @@ -35,7 +35,6 @@ classifiers = License :: OSI Approved :: Apache Software License Operating System :: OS Independent Programming Language :: Python :: 3 - Programming Language :: Python :: 3.9 Programming Language :: Python :: 3.10 Programming Language :: Python :: 3.11 Programming Language :: Python :: 3.12 @@ -58,13 +57,13 @@ install_requires = matplotlib >= 3.1.2 packaging pillow >= 6.2.1 - pytket >= 0.19.2 + pytket >= 1.31.0 pyyaml spacy >= 3.0 tensornetwork torch >= 1.12.1 transformers -python_requires = >=3.9 +python_requires = >=3.10 [options.extras_require] extras = diff --git a/tests/backend/test_quantum.py b/tests/backend/test_quantum.py index 5f0bd622..b26223f5 100644 --- a/tests/backend/test_quantum.py +++ b/tests/backend/test_quantum.py @@ -1,6 +1,7 @@ import pytest import numpy as np +from pytket.extensions.qiskit import AerBackend import sympy from lambeq.backend.quantum import * @@ -125,6 +126,30 @@ def F_ar(f, bx): assert F(d3) == d3_f +def test_spiders(): + + assert generate_spider(Ty(), 4, 3) == Id() + + assert generate_spider(qubit, 1, 0) == Sqrt(2) @ H >> Bra(0) + assert generate_spider(qubit, 0, 1) == generate_spider(qubit, 1, 0).dagger() + + assert generate_spider(qubit, 1, 1) == Id(qubit) + + assert generate_spider(qubit, 2, 0).eval() == pytest.approx(generate_cup(qubit, qubit).eval()) + assert generate_spider(qubit, 2, 0) == generate_spider(qubit, 0, 2).dagger() + + assert generate_spider(qubit, 3, 2).eval().flatten() == pytest.approx([1, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 1]) + assert generate_spider(qubit, 2, 3).eval().flatten() == pytest.approx([1, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 1]) + with pytest.raises(NotImplementedError): + generate_spider(qubit @ qubit, 2, 3) + + def test_mixed_eval(): assert (Ket(0) >> Discard()).eval() == 1 @@ -139,3 +164,9 @@ def test_mixed_eval(): assert Ket(0).eval(mixed=True).reshape(4) == pytest.approx(np.array([1, 0, 0, 0])) assert Ket(1).eval(mixed=True).reshape(4) == pytest.approx(np.array([0, 0, 0, 1])) assert (Ket(0) >> H).eval(mixed=True).reshape(4) == pytest.approx(np.array([0.5, 0.5, 0.5, 0.5])) + + +def test_eval_w_aer_backend(): + backend = AerBackend() + + assert ((Ket(0) >> Measure()) @ (Ket(1) >> Measure())).eval(backend=backend) == pytest.approx(np.array([[0, 1], [0, 0]])) diff --git a/tests/test_utils.py b/tests/test_utils.py index 5ca120c1..129fd3c5 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -1,7 +1,9 @@ import pytest -from lambeq.core.utils import (tokenised_batch_type_check, - tokenised_sentence_type_check, untokenised_batch_type_check) +from lambeq.core.utils import (normalise_duration, + tokenised_batch_type_check, + tokenised_sentence_type_check, + untokenised_batch_type_check) @pytest.fixture def sentence(): @@ -25,3 +27,11 @@ def test_batch_type_check(sentence_list): assert tokenised_batch_type_check(tokenised_sentences) assert untokenised_batch_type_check(sentence_list) assert not untokenised_batch_type_check(tokenised_sentences) + + +def test_normalise_duration(): + assert normalise_duration(4890.0) == '1h21m30s' + assert normalise_duration(65.0) == '1m5s' + assert normalise_duration(0.29182375) == '0.29s' + assert normalise_duration(0.29682375) == '0.30s' + assert normalise_duration(None) == 'None' diff --git a/tests/training/test_pytorch_trainer.py b/tests/training/test_pytorch_trainer.py index 905ec4ae..5ab55212 100644 --- a/tests/training/test_pytorch_trainer.py +++ b/tests/training/test_pytorch_trainer.py @@ -62,6 +62,10 @@ def test_trainer(tmp_path): assert len(trainer.train_costs) == EPOCHS assert len(trainer.val_eval_results["acc"]) == EPOCHS + assert len(trainer.train_epoch_durations) == EPOCHS + assert len(trainer.train_durations) == EPOCHS * ( + ceil(len(train_diagrams) / train_dataset.batch_size)) + assert len(trainer.val_durations) == EPOCHS def test_restart_training(tmp_path): @@ -156,7 +160,10 @@ def test_evaluation_skipping(tmp_path): trainer.fit(train_dataset, val_dataset, eval_interval=eval_step) assert len(trainer.train_costs) == epochs + assert len(trainer.train_durations) == epochs assert len(trainer.val_eval_results["acc"]) == ceil(epochs/eval_step) + assert len(trainer.val_durations) == ceil(epochs/eval_step) + assert len(trainer.train_epoch_durations) == epochs def test_early_stopping(tmp_path): @@ -191,6 +198,9 @@ def test_early_stopping(tmp_path): assert len(trainer.val_eval_results["acc"]) == 6 assert len(trainer.train_costs) == 6 + assert len(trainer.train_durations) == 6 + assert len(trainer.val_durations) == 6 + assert len(trainer.train_epoch_durations) == 6 def test_early_stopping_max(tmp_path): @@ -226,3 +236,6 @@ def test_early_stopping_max(tmp_path): assert len(trainer.val_eval_results["acc"]) == 11 assert len(trainer.train_costs) == 11 + assert len(trainer.train_durations) == 11 + assert len(trainer.val_durations) == 11 + assert len(trainer.train_epoch_durations) == 11 diff --git a/tests/training/test_quantum_trainer.py b/tests/training/test_quantum_trainer.py index 6b7a643c..5c50f65d 100644 --- a/tests/training/test_quantum_trainer.py +++ b/tests/training/test_quantum_trainer.py @@ -1,3 +1,5 @@ +from math import ceil + import numpy as np import tensornetwork as tn from lambeq.backend.grammar import Cup, Id, Word @@ -54,8 +56,14 @@ def test_trainer(tmp_path): val_dataset = Dataset(dev_circuits, dev_targets) trainer.fit(train_dataset, val_dataset) + assert len(trainer.train_costs) == EPOCHS assert len(trainer.val_eval_results["acc"]) == EPOCHS + assert len(trainer.train_epoch_durations) == EPOCHS + assert len(trainer.train_durations) == EPOCHS * ( + ceil(len(train_diagrams) / train_dataset.batch_size)) + assert len(trainer.val_durations) == EPOCHS + def test_restart_training(tmp_path): log_dir = tmp_path / 'test_runs' diff --git a/tests/training/test_trainer.py b/tests/training/test_trainer.py index 5555a766..051cbb52 100644 --- a/tests/training/test_trainer.py +++ b/tests/training/test_trainer.py @@ -16,12 +16,14 @@ def test_logdir_timestamp(): trainer = Trainer(model, loss, epochs=1) assert trainer.log_dir + def test_verbose_error(): d = 'test_runs/' + str(uuid.uuid1()) with patch('os.makedirs', lambda *args, **kwargs: None) as m: with pytest.raises(ValueError): _ = Trainer(model, loss, epochs=1, verbose='false_flag', log_dir=d) + def test_wrong_checkpoint_dir(): d = 'test_runs/' + str(uuid.uuid1()) with patch('os.makedirs', lambda *args, **kwargs: None) as m,\