diff --git a/.gitignore b/.gitignore index cdbe076..312c3c8 100644 --- a/.gitignore +++ b/.gitignore @@ -7,6 +7,8 @@ CanDI/setup/data/coessentiality tests.py build +docs/output + **/__pycache__/ **/.ipynb_checkpoints/ **.pyc diff --git a/CanDI/__version__.py b/CanDI/__version__.py index 418a989..b4de043 100644 --- a/CanDI/__version__.py +++ b/CanDI/__version__.py @@ -1 +1 @@ -version = "0.2.3" +version = "0.2.4" diff --git a/README.md b/README.md new file mode 100644 index 0000000..d2f3965 --- /dev/null +++ b/README.md @@ -0,0 +1,92 @@ +# CanDI - A global cancer data integrator + +[![PyPI](https://img.shields.io/pypi/v/PyCanDI)](https://pypi.org/project/PyCanDI/) +[![Downloads](https://static.pepy.tech/badge/pycandi)](https://pepy.tech/project/pycandi) +[![Documentation Status](https://readthedocs.org/projects/candi/badge/?version=latest)](https://candi.readthedocs.io/en/latest/?badge=latest) +[![DOI](https://zenodo.org/badge/DOI/10.1186/s13073-021-00987-8.svg)](https://doi.org/10.1186/s13073-021-00987-8) +[![Dataverse](https://img.shields.io/badge/Dataverse-10.7910/DVN/JIAT0H-red)](https://doi.org/10.7910/DVN/JIAT0H) + +## Installation + +CanDI is now available on [PyPI](https://pypi.org/project/PyCanDI/) and +can be installed with pip. Then, a command from CanDI will automatically +download stable datasets from +[Dataverse](https://doi.org/10.7910/DVN/JIAT0H). + +``` bash +# Package Installation +pip install PyCanDI + +# Prepare Datasets +candi-install +``` + +Downloaded and formatted datasets would organize this way: + +``` +. +├── config.ini # modified after Installation +├── depmap +│ ├── CCLE_expression.csv +│ ├── CCLE_fusions.csv +│ ├── CCLE_gene_cn.csv +│ ├── CCLE_mutations.csv +│ ├── CCLE_RNAseq_reads.csv +│ ├── CRISPR_gene_dependency.csv +│ ├── CRISPR_gene_effect.csv +│ └── sample_info.csv +├── genes +│ └── gene_info.csv +└── locations + └── merged_locations.csv +``` + +**Note**: + +: *Currently, DepMap API is not available for public use. Therefore, + we are providing the preprocessed datasets for the users based on + DepMap 21Q4 release. DepMap API will be available in the future to + download the latest datasets.* + +## Usage + +### Import CanDI into python + +``` python +from CanDI import candi +``` + +### CanDI Objects + +- `data` : Container for all candi datasets. All access to datasets go + through data object. +- `Gene` : Provides cross dataset indexing from the gene perspective. +- `CellLine` : Provides cross dataset indexing from the cell line + perspective. +- `Cancer` : Provides cross dataset indexing by a group of cell lines + that are all the same tissue. +- `Organelle`: Provides cross dataset indexing for a group of genes + whose proteins localize to the same organelle. +- `CellLineCluster` : Provides cross dataset indexing for a group of + user defined cell lines. +- `GeneCluster` : Provides cross dataset indexing for a group of user + defined genes. + +### Demos + +| Name | Description | +|------|-------------| +| Getting Started | [Link to notebook](notebooks/get-started.ipynb) | +| *BRCA* Heatmap | [Link to notebook](notebooks/brca_heatmap.ipynb) | +| *KRAS* and *EGFR* Scatter plot | [Link to notebook](notebooks/kras_egfr_scatter.ipynb) | +| CanDI and DESeq2 | [Link to notebook](notebooks/deseq_setup.ipynb) | + +## Citation + +If you use CanDI in your research, please cite the following paper: + +``` bibtex +Yogodzinski C, Arab A, Pritchard JR, Goodarzi H, Gilbert LA. +A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy. +Genome Med. 2021;13(1):167. Published 2021 Oct 18. doi:10.1186/s13073-021-00987-8 +``` diff --git a/README.rst b/README.rst deleted file mode 100644 index c2160d3..0000000 --- a/README.rst +++ /dev/null @@ -1,118 +0,0 @@ -CanDI - A global cancer data integrator -======================================= - -|PyPI| |Downloads| |Documentation Status| |DOI| |Dataverse| - -Installation ------------- - -CanDI is now available on `PyPI `_ and can be installed with pip. -Then, a command from CanDI will automatically download stable datasets from `Dataverse `_. - -.. code:: bash - - # Package Installation - pip install PyCanDI - - # Prepare Datasets - candi-install - -Downloaded and formatted datasets would organize this way: - -.. code:: - - . - ├── config.ini # modified after Installation - ├── depmap - │ ├── CCLE_expression.csv - │ ├── CCLE_fusions.csv - │ ├── CCLE_gene_cn.csv - │ ├── CCLE_mutations.csv - │ ├── CCLE_RNAseq_reads.csv - │ ├── CRISPR_gene_dependency.csv - │ ├── CRISPR_gene_effect.csv - │ └── sample_info.csv - ├── genes - │ └── gene_info.csv - └── locations - └── merged_locations.csv - - -**Note**: - *Currently, DepMap API is not available for public use. Therefore, we are providing the preprocessed datasets for the users - based on DepMap 21Q4 release. DepMap API will be available in the future to download the latest datasets.* - - -Usage -------------- - -Import CanDI into python -~~~~~~~~~~~~~~~~~~~~~~~~ - -.. code:: python - - from CanDI import candi - -CanDI Objects -~~~~~~~~~~~~~ - -- ``data`` : Container for all candi datasets. All access to datasets - go through data object. -- ``Gene`` : Provides cross dataset indexing from the gene perspective. -- ``CellLine`` : Provides cross dataset indexing from the cell line - perspective. -- ``Cancer`` : Provides cross dataset indexing by a group of cell lines - that are all the same tissue. -- ``Organelle``: Provides cross dataset indexing for a group of genes - whose proteins localize to the same organelle. -- ``CellLineCluster`` : Provides cross dataset indexing for a group of - user defined cell lines. -- ``GeneCluster`` : Provides cross dataset indexing for a group of user - defined genes. - -Demos -~~~~~ - -.. list-table:: - :widths: 25 50 - :header-rows: 1 - - * - Name - - Description - * - `Getting Started `_ - - ... - * - `*BRCA* Heatmap `_ - - ... - * - `*KRAS* and *EGFR* Scatter plot `_ - - ... - * - `CanDI and DESeq2 `_ - - ... - - -Citation --------- - -If you use CanDI in your research, please cite the following paper: - -.. code:: bibtex - - Yogodzinski C, Arab A, Pritchard JR, Goodarzi H, Gilbert LA. - A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy. - Genome Med. 2021;13(1):167. Published 2021 Oct 18. doi:10.1186/s13073-021-00987-8 - - - -.. |PyPI| image:: https://img.shields.io/pypi/v/PyCanDI - :target: https://pypi.org/project/PyCanDI/ - -.. |Documentation Status| image:: https://readthedocs.org/projects/candi/badge/?version=latest - :target: https://candi.readthedocs.io/en/latest/?badge=latest - -.. |Downloads| image:: https://static.pepy.tech/badge/pycandi - :target: https://pepy.tech/project/pycandi - -.. |DOI| image:: https://zenodo.org/badge/DOI/10.1186/s13073-021-00987-8.svg - :target: https://doi.org/10.1186/s13073-021-00987-8 - -.. |Dataverse| image:: https://img.shields.io/badge/Dataverse-10.7910/DVN/JIAT0H-red - :target: https://doi.org/10.7910/DVN/JIAT0H diff --git a/docs/environment.yaml b/docs/environment.yaml index e440277..f6f787a 100644 --- a/docs/environment.yaml +++ b/docs/environment.yaml @@ -4,9 +4,8 @@ channels: - conda-forge dependencies: - python>=3.11,<4.0 - - myst-parser=0.18.1 - - sphinx=5.3.0 - - sphinx_rtd_theme=1.1.1 + - myst-parser + - sphinx>=7.0.0 - jinja2<=3.1 - pandas - numpy @@ -16,7 +15,8 @@ dependencies: - tqdm - pip - pip: - - nbsphinx + - myst-nb + - sphinx_rtd_theme - pydeseq2 - adpbulk - pycandi diff --git a/docs/requirements.txt b/docs/requirements.txt index 5b22f37..ddcda10 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,8 +1,8 @@ -nbsphinx -readthedocs-sphinx-search==0.3.2 +readthedocs-sphinx-search myst-parser=0.18.1 -sphinx=5.3.0 -sphinx_rtd_theme=1.1.1 +myst-nb +sphinx>=7.0.0 +sphinx_rtd_theme jinja2<=3.1 pandas configparser diff --git a/docs/source/README.md b/docs/source/README.md new file mode 120000 index 0000000..fe84005 --- /dev/null +++ b/docs/source/README.md @@ -0,0 +1 @@ +../../README.md \ No newline at end of file diff --git a/docs/source/README.rst b/docs/source/README.rst deleted file mode 120000 index c768ff7..0000000 --- a/docs/source/README.rst +++ /dev/null @@ -1 +0,0 @@ -../../README.rst \ No newline at end of file diff --git a/docs/source/brca_heatmap.ipynb b/docs/source/brca_heatmap.ipynb deleted file mode 100644 index aad8f9f..0000000 --- a/docs/source/brca_heatmap.ipynb +++ /dev/null @@ -1,666 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b1ac0947", - "metadata": {}, - "source": [ - "# _BRCA_ Heatmap" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "93b49611", - "metadata": {}, - "outputs": [], - "source": [ - "import CanDI.candi as can\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.axes_grid1 import make_axes_locatable\n" - ] - }, - { - "cell_type": "markdown", - "id": "3f9e2439", - "metadata": {}, - "source": [ - "### Cancer Object Instantiation\n", - "We're interested in cross referencing some data in breast and ovarian cancer so instantiate cancer objects as follows.\n", - "To double check the object instantiation I check the length of the depmap_id vectors. This lets me know we're able to index other datasets correctly" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "c220005a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "74\n", - "83\n" - ] - } - ], - "source": [ - "ov = can.Cancer(\"Ovarian Cancer\")\n", - "br = can.Cancer(\"Breast Cancer\")\n", - "\n", - "#Number of Ovarian Cell lines\n", - "print(len(ov.depmap_ids))\n", - "#Number of Breast Cell Lines\n", - "print(len(br.depmap_ids))" - ] - }, - { - "cell_type": "markdown", - "id": "659d1805", - "metadata": {}, - "source": [ - "### Subsetting by mutation status\n", - "\n", - "Explicitly load mutations into memory.This only needs to be done once\n", - "You will be done prompted to load a given dataset if using operations that act\n", - "on that dataset and it is not in memory." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d098ddf9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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geneEntrez_Gene_IdNCBI_BuildChromosomeStart_positionEnd_positionStrandVariant_ClassificationVariant_TypeReference_Allele...isCOSMIChotspotCOSMIChsCntExAC_AFVariant_annotationCGA_WES_ACHC_ACRD_ACRNAseq_ACSangerWES_ACWGS_AC
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1AADACL43430663711272630812726322+In_Frame_DelDELCTGGCGTGACGCCAT...False3.0NaNother non-conserving57:141NaNNaNNaN9:028:32
2IFNLR11637023712448417224484172+SilentSNPG...False0.0NaNsilent118:0NaNNaN10:0118:018:0
3TMEM57552193712578501825785019+Frame_Shift_InsINS-...False0.0NaNdamagingNaNNaNNaN6:28NaNNaN
4ZSCAN2075793713395414133954141+Missense_MutationSNPT...False0.0NaNother non-conserving28:62NaNNaNNaN27:61NaN
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1230240SLC39A455630378145641991145641991+SilentSNPC...False0.00.000017silent52:23NaNNaNNaNNaNNaN
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" - ], - "text/plain": [ - " gene Entrez_Gene_Id NCBI_Build Chromosome Start_position \\\n", - "0 VPS13D 55187 37 1 12359347 \n", - "1 AADACL4 343066 37 1 12726308 \n", - "2 IFNLR1 163702 37 1 24484172 \n", - "3 TMEM57 55219 37 1 25785018 \n", - "4 ZSCAN20 7579 37 1 33954141 \n", - "... ... ... ... ... ... \n", - "1230240 SLC39A4 55630 37 8 145641991 \n", - "1230241 TAL2 6887 37 9 108424778 \n", - "1230242 TRO 7216 37 X 54955098 \n", - "1230243 USP51 158880 37 X 55514703 \n", - "1230244 C1GALT1C1 29071 37 X 119760406 \n", - "\n", - " End_position Strand Variant_Classification Variant_Type \\\n", - "0 12359347 + Nonsense_Mutation SNP \n", - "1 12726322 + In_Frame_Del DEL \n", - "2 24484172 + Silent SNP \n", - "3 25785019 + Frame_Shift_Ins INS \n", - "4 33954141 + Missense_Mutation SNP \n", - "... ... ... ... ... \n", - "1230240 145641991 + Silent SNP \n", - "1230241 108424778 + Start_Codon_SNP SNP \n", - "1230242 54955098 + Silent SNP \n", - "1230243 55514703 + Missense_Mutation SNP \n", - "1230244 119760406 + Missense_Mutation SNP \n", - "\n", - " Reference_Allele ... isCOSMIChotspot COSMIChsCnt ExAC_AF \\\n", - "0 C ... False 0.0 NaN \n", - "1 CTGGCGTGACGCCAT ... False 3.0 NaN \n", - "2 G ... False 0.0 NaN \n", - "3 - ... False 0.0 NaN \n", - "4 T ... False 0.0 NaN \n", - "... ... ... ... ... ... \n", - "1230240 C ... False 0.0 0.000017 \n", - "1230241 A ... False 0.0 NaN \n", - "1230242 C ... False 0.0 NaN \n", - "1230243 G ... False 0.0 NaN \n", - "1230244 T ... False 0.0 NaN \n", - "\n", - " Variant_annotation CGA_WES_AC HC_AC RD_AC RNAseq_AC SangerWES_AC \\\n", - "0 damaging 34:213 NaN NaN NaN 34:221 \n", - "1 other non-conserving 57:141 NaN NaN NaN 9:0 \n", - "2 silent 118:0 NaN NaN 10:0 118:0 \n", - "3 damaging NaN NaN NaN 6:28 NaN \n", - "4 other non-conserving 28:62 NaN NaN NaN 27:61 \n", - "... ... ... ... ... ... ... \n", - "1230240 silent 52:23 NaN NaN NaN NaN \n", - "1230241 damaging 27:0 NaN NaN NaN NaN \n", - "1230242 silent 5:16 NaN NaN NaN NaN \n", - "1230243 other non-conserving 23:0 NaN NaN NaN NaN \n", - "1230244 other non-conserving 28:0 NaN NaN NaN NaN \n", - "\n", - " WGS_AC \n", - "0 NaN \n", - "1 28:32 \n", - "2 18:0 \n", - "3 NaN \n", - "4 NaN \n", - "... ... \n", - "1230240 NaN \n", - "1230241 NaN \n", - "1230242 NaN \n", - "1230243 NaN \n", - "1230244 NaN \n", - "\n", - "[1230245 rows x 32 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "can.data.load(\"mutations\")" - ] - }, - { - "cell_type": "markdown", - "id": "2421b512", - "metadata": {}, - "source": [ - "I want to look at BRCA1 mutations in these types of cancers. I start by using the mutated function to identify ovarian and breast cancer cell lines with BRCA1 mutations. A cancer object's mutated method's default behavior is to output a list of depmap ids corresponding to celllines containing any mutation within the given genes. I then instantiate CellLineCluster objects of exclusively mutated or wild type cell lines for both breast and ovarian cancer. This makes comparing these cell lines easier.\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "28fb0265", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\n", - "\n", - "True\n", - "True\n" - ] - } - ], - "source": [ - "ov_mt_list = ov.mutated([\"BRCA1\"]) #List of depmap_ids\n", - "br_mt_list = br.mutated([\"BRCA1\"]) #list of depmap_ids\n", - "\n", - "ov_mt = can.CellLineCluster(ov_mt_list) #CellLineCluster obj\n", - "br_mt = can.CellLineCluster(br_mt_list)\n", - "\n", - "\n", - "print(\"Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\\n\")\n", - "print(ov_mt.depmap_ids == ov_mt_list)\n", - "\n", - "#CellLineCluster ojbect must be instantiated with a mutable sequence\n", - "#I use set operations to get wild type cell line ids and convert to a list\n", - "ov_wt_list = list(set(ov.depmap_ids) - set(ov_mt_list))\n", - "br_wt_list = list(set(br.depmap_ids) - set(br_mt_list))\n", - "\n", - "ov_wt = can.CellLineCluster(ov_wt_list)\n", - "br_wt = can.CellLineCluster(br_wt_list)\n", - "print(ov_wt.depmap_ids == ov_wt_list)" - ] - }, - { - "cell_type": "markdown", - "id": "cb1fd667", - "metadata": {}, - "source": [ - "### Cross Referencing Mutation and Gene Knockout Data\n", - "I'm interested in how the mutation status of BRCA1 effects a cancer's dependency on the fanconi anemia genes.\n", - "To visualize this relationship I am going to make a heatmap of fanconi anemia genes sorting the cell lines by their BRCA1 mutation status. The following cell defines a function that plots a heatmap of the gene effect of the fanconi anemia genes separating them by the BRCA1 mutation status of a given cell line. \n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0a51271e", - "metadata": {}, - "outputs": [], - "source": [ - "def gene_effect_heatmap(obj1, obj2, genes, name = None):\n", - " \n", - " #Make Figure appropriate size, dpi, and font\n", - " plt.rcParams.update({\"figure.figsize\": (16, 6),\n", - " \"savefig.dpi\": 300,\n", - " \"font.size\": 12\n", - " })\n", - " \n", - " #One figure with one subplot\n", - " fig, ax = plt.subplots(1,1)\n", - " \n", - " #Construcat matrix to make heatmap and cell line labels\n", - " data = pd.concat([obj1.effect_of(genes), obj2.effect_of(genes)], axis=1)\n", - " names = can.data.cell_lines.loc[data.columns, \"cell_line_name\"]\n", - " \n", - " # We want to show all ticks...\n", - " ax.set_xticks(np.arange(len(names)))\n", - " ax.set_yticks(np.arange(len(genes)))\n", - " # ... and label them with the respective list entries\n", - " ax.set_xticklabels(names)\n", - " ax.set_yticklabels(genes)\n", - " \n", - " #make heatmap\n", - " im = ax.imshow(data, cmap=\"RdBu\")\n", - " \n", - " #Make colorbar scale to axis\n", - " divider = make_axes_locatable(ax)\n", - " cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n", - " cbar = ax.figure.colorbar(im, ax = ax, cax = cax)\n", - " cbar.ax.set_ylabel(\"Gene Effect\", rotation=-90, va=\"bottom\")\n", - " \n", - " #Draw Dividing line btween mutant and\n", - " ax.axvline(x=obj1.gene_effect.shape[1] - 0.5, c = \"black\", linewidth = 3)\n", - " plt.setp(ax.get_xticklabels(), rotation=-90, ha=\"left\", va=\"center\",\n", - " rotation_mode=\"anchor\")\n", - " plt.tight_layout()\n", - " plt.show()\n", - " \n", - " if name:\n", - " fig.savefig(name, dpi=300)\n" - ] - }, - { - "cell_type": "markdown", - "id": "9ed37fc0", - "metadata": {}, - "source": [ - "### Fanconi Anemia Genes Knockout Effect in Ovarian Cancer\n", - "BRCA1 Mutant Left of Vertical Line" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "a3adc292", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Load Complete\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "genes = [\"FANC\" + i for i in [\"A\", \"C\", \"I\", \"M\", \"D2\", \"F\", \"E\"]]\n", - "gene_effect_heatmap(ov_mt, ov_wt, genes, name = None)" - ] - }, - { - "cell_type": "markdown", - "id": "f8aa60cd", - "metadata": {}, - "source": [ - "### Fanconi Anemia Genes Knockout Effect in Breast Cancer\n", - "BRCA1 Mutant Left of Vertical Line" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3f3cf06f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "gene_effect_heatmap(br_mt, br_wt, genes, name = None)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/source/brca_heatmap.ipynb b/docs/source/brca_heatmap.ipynb new file mode 120000 index 0000000..6ab7d02 --- /dev/null +++ b/docs/source/brca_heatmap.ipynb @@ -0,0 +1 @@ +../../notebooks/brca_heatmap.ipynb \ No newline at end of file diff --git a/docs/source/conf.py b/docs/source/conf.py index e2d353f..eac8a71 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,6 +15,8 @@ import sys sys.path.insert(0, os.path.abspath('../..')) +autodoc_mock_imports = ["CanDI"] + # Install CanDI - download datasets subprocess.run('candi-install', shell=True) @@ -35,14 +37,20 @@ 'sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.viewcode', - 'nbsphinx', - 'myst_parser' + 'myst_nb', ] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: -source_suffix = ['.rst', '.md', '.ipynb'] +source_suffix = { + '.rst': 'restructuredtext', + '.md': 'myst-nb', + '.ipynb': 'myst-nb', +} + +# -- Options for parsing notebooks ------------------------------------------- +nb_execution_mode = "off" # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] diff --git a/docs/source/deseq_setup.ipynb b/docs/source/deseq_setup.ipynb deleted file mode 100644 index 900f295..0000000 --- a/docs/source/deseq_setup.ipynb +++ /dev/null @@ -1,354 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "163bb85c", - "metadata": {}, - "source": [ - "# CanDI and DESeq2\n", - "Let's say I want to look at changes in RNA expression across some cell lines in CCLE. DESeq2 is my preffered tool for doing differential expression analysis, unforutantely it's written in R. CanDI makes it easy to format CCLE read counts data into the shape that DESeq2 expects." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "72858c31", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import anndata as ad\n", - "import CanDI.candi as can\n", - "\n", - "from CanDI.pipelines import diffexp" - ] - }, - { - "cell_type": "markdown", - "id": "319b94c2", - "metadata": {}, - "source": [ - "#### Object Instantiation\n", - "For this example I'm going to do differential expression analysis across male and female KRAS mutant cell lines. The cell below uses CanDI to generate the correct CellLineCluster objects for our purpose." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "ddd21097", - "metadata": {}, - "outputs": [], - "source": [ - "if type(can.data.mutations) != pd.DataFrame:\n", - " can.data.load('mutations')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e3794753", - "metadata": {}, - "outputs": [], - "source": [ - "lung = can.Cancer(\"Lung Cancer\", subtype = \"NSCLC\")\n", - "lung = can.CellLineCluster(lung.mutated(\"KRAS\", variant = \"Variant_Classification\", item = \"Missense_Mutation\"))\n", - "\n", - "lung_male = can.CellLineCluster(list(lung._info.loc[lung._info.sex == \"Male\",].index))\n", - "lung_female = can.CellLineCluster(list(lung._info.loc[lung._info.sex == \"Female\"].index))" - ] - }, - { - "cell_type": "markdown", - "id": "5aae975f", - "metadata": {}, - "source": [ - "#### Data Munging\n", - "The follow function takes two objects that we want to compare and automatically generates the counts and coldata matrices that DESeq2 needs to run. It's typically a good idea to filter our genes/transcripts with consistently low counts prior to running DESeq2. This speeds up analysis and avoids issues related to read count scaling and multiple hypthothesis testing corrections. In this case we don't care about different splicing of the same genes so I sum counts for duplicate indeces for all samples. " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "29d9ab4c", - "metadata": {}, - "outputs": [], - "source": [ - "if type(can.data.rnaseq_reads) != pd.DataFrame:\n", - " can.data.load('rnaseq_reads')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "c697995d", - "metadata": {}, - "outputs": [], - "source": [ - "def make_counts_coldata(obj1, obj2, condition, factor1, factor2):\n", - " \n", - " counts1 = obj1.rnaseq_reads\n", - " coldat1 = pd.Series(counts1.shape[1] * [factor1], index = counts1.columns, name = condition)\n", - " \n", - " counts2 = obj2.rnaseq_reads\n", - " coldat2 = pd.Series(counts2.shape[1] * [factor2], index = counts2.columns, name = condition)\n", - " \n", - " #Concatenate Column Data\n", - " coldat = pd.concat([coldat1, coldat2], axis = 0)\n", - " #Concatenate read count data \n", - " counts_mat = pd.concat([counts1, counts2], axis = 1)\n", - " #Sum duplicate indeces\n", - " counts_mat = counts_mat.groupby(counts_mat.index).sum().astype(int)\n", - " \n", - " adata = ad.AnnData(\n", - " counts_mat.T,\n", - " obs = coldat.to_frame()\n", - " )\n", - "\n", - " return adata" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "fe08e848", - "metadata": {}, - "outputs": [], - "source": [ - "adata = make_counts_coldata(lung_male, lung_female, \"sex\", \"male\", \"female\")" - ] - }, - { - "cell_type": "markdown", - "id": "d148ea96", - "metadata": {}, - "source": [ - "#### Running pyDESeq2\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "ceb0a995", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Fitting size factors...\n", - "... done in 0.05 seconds.\n", - "\n", - "Fitting dispersions...\n", - "... done in 1.39 seconds.\n", - "\n", - "Fitting dispersion trend curve...\n", - "... done in 0.58 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 1.42 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 2.28 seconds.\n", - "\n", - "Replacing 5676 outlier genes.\n", - "\n", - "Fitting dispersions...\n", - "... done in 0.28 seconds.\n", - "\n", - "Fitting MAP dispersions...\n", - "... done in 0.28 seconds.\n", - "\n", - "Fitting LFCs...\n", - "... done in 0.36 seconds.\n", - "\n", - "Running Wald tests...\n", - "... done in 1.64 seconds.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Log2 fold change & Wald test p-value: sex male vs female\n", - " baseMean log2FoldChange lfcSE stat pvalue padj\n", - "gene \n", - "A1BG 200.696432 0.027944 0.671884 0.041591 0.966825 0.994527\n", - "A1BG-AS1 255.912479 0.202698 0.626175 0.323708 0.746159 0.950009\n", - "A1CF 12.057056 -1.367054 0.537503 -2.543342 0.010980 0.236614\n", - "A2M 18.685828 0.365012 0.619866 0.588857 0.555957 0.902738\n", - "A2M-AS1 49.283425 -0.266289 0.618898 -0.430264 0.667004 0.933027\n", - "... ... ... ... ... ... ...\n", - "ZYG11AP1 0.038949 0.057154 3.391294 0.016853 0.986554 NaN\n", - "ZYG11B 2200.470135 -0.200760 0.214134 -0.937546 0.348478 0.816844\n", - "ZYX 11155.922014 0.206356 0.377946 0.545994 0.585070 0.912754\n", - "ZZEF1 4400.173132 -0.483351 0.222239 -2.174911 0.029637 0.362384\n", - "ZZZ3 3532.326301 -0.212461 0.170959 -1.242756 0.213958 0.722301\n", - "\n", - "[52443 rows x 6 columns]\n" - ] - } - ], - "source": [ - "results = diffexp.run_deseq(\n", - " adata,\n", - " design = 'sex',\n", - " tested_level = 'male',\n", - " ref_level = 'female'\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "275e042d", - "metadata": {}, - "source": [ - "#### Analyzing Results\n", - "Now we can read the results of the differential expression analysis back into our python enviroment and continue analysis as necessary. Looking at the genes with the lowest adjusted p-value we see that XIST is the most significant differentially expressed genes. XIST is a lncRNA responsible for X inactivation in females so this a good positive control for our analysis." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "f72ee6cd", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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baseMeanlog2FoldChangelfcSEstatpvaluepadj
gene
XIST4041.971706-7.1450070.710899-10.0506609.125401e-242.692176e-19
RPS4Y16613.0444278.7231931.0315808.4561442.763634e-174.076636e-13
CEACAM510444.137420-7.2828570.892029-8.1643743.231066e-163.177430e-12
DDX3Y1195.3885097.6428640.9839167.7678057.985781e-155.889913e-11
GJB158.891176-5.6237150.752347-7.4748967.726502e-144.558945e-10
\n", - "
" - ], - "text/plain": [ - " baseMean log2FoldChange lfcSE stat pvalue \\\n", - "gene \n", - "XIST 4041.971706 -7.145007 0.710899 -10.050660 9.125401e-24 \n", - "RPS4Y1 6613.044427 8.723193 1.031580 8.456144 2.763634e-17 \n", - "CEACAM5 10444.137420 -7.282857 0.892029 -8.164374 3.231066e-16 \n", - "DDX3Y 1195.388509 7.642864 0.983916 7.767805 7.985781e-15 \n", - "GJB1 58.891176 -5.623715 0.752347 -7.474896 7.726502e-14 \n", - "\n", - " padj \n", - "gene \n", - "XIST 2.692176e-19 \n", - "RPS4Y1 4.076636e-13 \n", - "CEACAM5 3.177430e-12 \n", - "DDX3Y 5.889913e-11 \n", - "GJB1 4.558945e-10 " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.sort_values(\"padj\").head()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/source/deseq_setup.ipynb b/docs/source/deseq_setup.ipynb new file mode 120000 index 0000000..9ad8ba6 --- /dev/null +++ b/docs/source/deseq_setup.ipynb @@ -0,0 +1 @@ +../../notebooks/deseq_setup.ipynb \ No newline at end of file diff --git a/docs/source/get-started.ipynb b/docs/source/get-started.ipynb deleted file mode 100644 index 91612c5..0000000 --- a/docs/source/get-started.ipynb +++ /dev/null @@ -1,561 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Getting Started" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's go over basic functionality and use cases of CanDI package. \n", - "\n", - "### Importing\n", - "\n", - "CanDI must be imported from from the main CanDI directory. The core CanDI objects are contained within the CanDI.candi module and are imported as follows. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import CanDI.candi as can\n", - "#Can also be imported as \n", - "from CanDI import candi as can" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Data Object\n", - "The Data object is instantiated when CanDI and access as data within the candi module\n", - "CanDI dataset paths are defined as attributes within the Data object." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(can.data.gene_effect) # depmap ceres score\n", - "print(can.data.expression) # ccle rna seq data\n", - "print(can.data.gene_cn) # ccle copy number data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## How to Directly Load a Dataset\n", - "The load method of the Data object is used to load specific datasets into memory. The datasets are saved as pandas dataframes as attributes of the data object. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "can.data.load(\"expression\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cell Lines\n", - "The Cell Lines dataset contains all cell line metadata. This table is loaded automatically when candi is imported." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "can.data.cell_lines.head(5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Genes\n", - "The genes dataset contains relevant gene metadata. \n", - "The genes dataset is loaded into memory automatically when candi is imported. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "can.data.genes.head(5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Locations\n", - "The locations dataset contains location annotations for all genes and their associated confidence scores. Confidence scores were crowd sourced from several protein localization papers and integrated into one scale. This dataset is automatically loaded into memory when candi is imported. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "can.data.locations.head(5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Basic Object Instantiation\n", - "- The user input for object instantiation is used directly for indexing\n", - "- This means if it is misspelled candi will not be able to retrieve the data in which the user is interested\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras = can.Gene(\"KRAS\")\n", - "lung = can.Cancer(\"Lung Cancer\")\n", - "membrane = can.Organelle(\"Plasma membrane\")\n", - "a549 = can.CellLine(\"A549\") " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Gene Object Methods and Attributes\n", - "The following function prints the internal attributes and functions of CanDI objects. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def pretty_print_attr(obj):\n", - " attr = []\n", - " ls_attr = []\n", - " meth = []\n", - " for i in dir(obj):\n", - " if \"_\" != i[0]:\n", - " if type(getattr(obj, i)) == str or type(getattr(obj, i)) == int:\n", - " attr.append(i)\n", - " elif type(getattr(obj, i)) == list:\n", - " ls_attr.append(i)\n", - " else:\n", - " meth.append(i)\n", - " \n", - " print(\"Attributes:\\n\")\n", - " for i in attr: print(i+\":\", getattr(obj, i))\n", - " for i in ls_attr: print(i+\" list first item:\", getattr(obj, i)[0])\n", - " for i in ls_attr: print(i+\" length:\", len(getattr(obj, i)))\n", - " print(\"\\nMethods:\\n\")\n", - " for i in meth: print(i)\n", - "\n", - "pretty_print_attr(kras)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Gene Indexing examples\n", - "If a dataset has not be loaded into memory candi will prompt you.\n", - "Once a dataset is loaded, Gene.expression gives all the rna seq transcript data for that specific object.\n", - "In this case we have already instantiated a gene object" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.expression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Basic CanDI filtering\n", - "the Gene.expressed() method retrieves cell lines where the user defined gene has above 1 transcript per million\n", - "the output is a list of cell line ids which can be used to instantiate CellLine or CellLineClbbuster objects\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.expressed()[0:10]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The user can specify if they want the tpm values with the depmap ids " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.expressed(style=\"values\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you input a depmap id as an argument to gene.expressed you will get a boolean showing the expression status of your gene" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.expressed(a549.depmap_id)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The user can use the gene.expression_of() method to check that gene's expression in a specific cell line.\n", - "This method only, when called from a Gene object, accepts cell line depmap id's as an argument." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.expression_of(a549.depmap_id)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "CanDI is consistent in the way this works across all classes and data types" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.mutations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The gene.mutated() method allows very specific filtering.\n", - "Using the variant argument one can select the column on which to filter. Then using the item argument the user can specifiy the specific value in which they're interested. The example below shows retrieval of all cell lines with kras missense mutations." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kras.mutated(variant=\"Variant_Classification\", item=\"Missense_Mutation\")[0:10]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Users can use the unload method of the Data object to remove a dataset from memory and return it to a file path string." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "can.data.unload('mutations')\n", - "can.data.mutations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## CellLine Methods and Attributes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "pretty_print_attr(a549)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All methods work in essentially same way regardless of the candi object in use.\n", - "The CellLine.expressed() method will return all genes which have expression above 1 transcript per million\n", - "in that specific cell line." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.expressed()[:10]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Just like gene.expressed() the user can ask for the values" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.expressed(style=\"values\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And for specific genes expression status" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.expressed(\"KRAS\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "expressed with style=\"values\" gives the same result as expression_of" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.expression_of(\"KRAS\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.expressed(\"KRAS\", style=\"values\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The CellLine.mtuations attribute gives all mutation data for that specific cell line" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "a549.mutations" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# calling the CellLine.mutated() method works the same way with all CanDI objects\n", - "a549.mutated(variant=\"Variant_Classification\", item=\"Nonsense_Mutation\")[:10]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cancer Methods and Attributes\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "pretty_print_attr(lung)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cancer objects work essentially works as a group of cell line objects \n", - "the Cancer.expression object returns a pandas dataframe rather than a pandas series since there are multiple cell lines to consider." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lung.expression" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cancer.expressed method uses an abitrary threshold to filter genes the default is if a gene is expressed in 100 percent of the cell lines within the cancer object it will read out as expressed" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lung.expressed()[0:10]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The user can relax this threshold as necessary" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lung.expressed(threshold=0.50)[0:10]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lung.expressed(threshold=0.50, style=\"values\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cancer and CellLineCluster objects have an additional method that outputs a binary matrix\n", - "of which genes/cell lines have mutations" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lung.mutation_matrix()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Organelle Methods and Attributes\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "pretty_print_attr(membrane)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/source/get-started.ipynb b/docs/source/get-started.ipynb new file mode 120000 index 0000000..4919980 --- /dev/null +++ b/docs/source/get-started.ipynb @@ -0,0 +1 @@ +../../notebooks/get-started.ipynb \ No newline at end of file diff --git a/docs/source/kras_egfr_scatter.ipynb b/docs/source/kras_egfr_scatter.ipynb deleted file mode 100644 index 6912523..0000000 --- a/docs/source/kras_egfr_scatter.ipynb +++ /dev/null @@ -1,333 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "f86433ea", - "metadata": {}, - "source": [ - "# _KRAS_ and _EGFR_ Scatter plot " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "6dfaefa8", - "metadata": {}, - "outputs": [], - "source": [ - "import CanDI.candi as can\n", - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from sklearn import cluster, decomposition, preprocessing" - ] - }, - { - "cell_type": "markdown", - "id": "67a24919", - "metadata": {}, - "source": [ - "## Cancer Object Instantiation\n", - "I'm interested in studying non-small cell lung cancer using the data in depmap and ccle. I start by instantiating a cancer object that will allow me to explore the data space of non-small cell lung cancer cell lines. Since I don't want any small cell lung cancer cell lines included I will specify a disease subtype during instantiation. The subtype argument of Cancer object instantiation works by string matching in the lineage_subtype collumn of the cell_lines dataset. Below you can see that we have a variety of cell types within a given lineage subtype." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "bc12e739", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['Non-Small Cell Lung Cancer (NSCLC), Adenocarcinoma',\n", - " 'Non-Small Cell Lung Cancer (NSCLC), Large Cell Carcinoma',\n", - " 'Non-Small Cell Lung Cancer (NSCLC), unspecified',\n", - " 'Non-Small Cell Lung Cancer (NSCLC), Squamous Cell Carcinoma',\n", - " 'Non-Small Cell Lung Cancer (NSCLC), Adenosquamous Carcinoma',\n", - " 'Non-Small Cell Lung Cancer (NSCLC), Mucoepidermoid Carcinoma'],\n", - " dtype=object)" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lung = can.Cancer(\"Lung Cancer\", subtype=\"NSCLC\")\n", - "lung.subtypes" - ] - }, - { - "cell_type": "markdown", - "id": "4479b0bd", - "metadata": {}, - "source": [ - "I want to look at how oncogenic mutations affect global genetic dependencies. Let's choose KRAS and EGFR as our oncogenic mutations. I'm going to make two CellLineCluster objects per oncogene, eight in total. For each oncogene I want to make a CellLineCluster where the oncogene of interest is mutated and another where it is wild type.\n", - "\n", - "__To Analyze KRAS__\n", - "* Lung - KRAS MT\n", - "* Lung - KRAS WT\n", - "\n", - "__To Analyze EGFR__\n", - "* Lung - EGFR MT\n", - "* Lung - EGFR WT\n", - "\n", - "MT = Mutant \\\n", - "WT = Wild Type" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "e7d7abe9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Load Complete\n" - ] - } - ], - "source": [ - "#Mutated function automatically ignores silent mutations\n", - "kras_mt_ids = lung.mutated(\"KRAS\", variant=\"Variant_Classification\", item = \"Missense_Mutation\")\n", - "egfr_mt_ids = lung.mutated(\"EGFR\", variant=\"Variant_Classification\")\n", - "\n", - "kras_wt_ids = list(set(lung.depmap_ids) - set(kras_mt_ids))\n", - "egfr_wt_ids = list(set(lung.depmap_ids) - set(egfr_mt_ids))\n", - "\n", - "#Instantiate KRAS Clusters\n", - "kras_mt = can.CellLineCluster(kras_mt_ids)\n", - "kras_wt = can.CellLineCluster(kras_wt_ids)\n", - "\n", - "#Instantiate EGFR Clusters\n", - "egfr_mt = can.CellLineCluster(egfr_mt_ids)\n", - "egfr_wt = can.CellLineCluster(egfr_wt_ids)" - ] - }, - { - "cell_type": "markdown", - "id": "2cc87557", - "metadata": {}, - "source": [ - "## Analyzing Global Gene Dependency\n", - "To see how KRAS and EGFR mutations affect global gene dependency I'm going to plot the average gene effect for every gene of the mutant and wildtype clusters against each other. This if gene effect skews towards wildtype or mutation status for any give gene. The Function below will be used to make this plot. Unless you are interested in specifically how this plot is made you can skip the following cell." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "295b9aba", - "metadata": {}, - "outputs": [], - "source": [ - "def gene_effect_scatter(mt, wt, gene, control, tc1=None, tc2=None, name=None):\n", - " \n", - " #Average Gene Effect for control agnostic groups\n", - " mt_effect = mt.gene_dependency.mean(1)\n", - " wt_effect = wt.gene_dependency.mean(1)\n", - " \n", - " #For Labeling\n", - " mt_lab = mt_effect.loc[[gene, control]]\n", - " wt_lab = wt_effect.loc[[gene, control]]\n", - " \n", - " \n", - " #Make Figure appropriate size, dpi, and font\n", - " plt.rcParams.update({\"figure.figsize\": (8, 8),\n", - " \"savefig.dpi\": 300,\n", - " \"font.family\": \"sans-serif\",\n", - " \"font.size\": 12\n", - " })\n", - " \n", - " #Generate Figure and Axis objects\n", - " fig, ax = plt.subplots(1,1)\n", - " \n", - " #Label Axes\n", - " ax.set_xlabel(f\"{gene} MT Average Gene Effect (CERES Score)\")\n", - " ax.set_ylabel(f\"{gene} WT Average Gene Effect (CERES Score)\")\n", - " \n", - " #Draw Line at median common essential value\n", - " ax.axhline(y = 0.50,\n", - " c = \"black\",\n", - " linewidth=0.5,\n", - " label = \"Minimun Gene Dependencey Probability\"\n", - " )\n", - " \n", - " ax.axvline(x = 0.50,\n", - " c= \"black\",\n", - " linewidth=0.5)\n", - " \n", - " #Plot all genes\n", - " ax.scatter(mt_effect,\n", - " wt_effect,\n", - " c = \"#2166ac\",\n", - " alpha = 0.7,\n", - " s = 50\n", - " )\n", - " \n", - " #Outline Genes To label\n", - " ax.scatter(mt_lab,\n", - " wt_lab,\n", - " c = \"#2166ac\",\n", - " s = 50,\n", - " edgecolor = \"black\",\n", - " linewidth = 2,\n", - " alpha = 0.7\n", - " )\n", - " \n", - " ax.legend()\n", - " \n", - " #Label control agnostic Series\n", - " if tc1:\n", - " for i in range(mt_lab.shape[0]):\n", - " text = list(mt_lab.index)\n", - " ax.annotate(text[i],\n", - " xy = (mt_lab[i], wt_lab[i]),\n", - " xytext = tc1[i],\n", - " xycoords = \"data\",\n", - " arrowprops = {\"arrowstyle\": \"-\"}\n", - " )\n", - " \n", - " plt.show()\n", - " \n", - " if name:\n", - " fig.savefig(name, dpi=300)\n", - " \n", - " return\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "0f2e85af", - "metadata": {}, - "source": [ - "## Note about Gene Effect Scores: Dependency vs Essentiality\n", - "A more negative gene effect means more dependent. A gene effect of -1.0 is the median gene effect of all common essential genes. If a gene has a gene effect of -1.0 or lower it then that gene is essential. A cell line can still be dependent on a gene with a lower gene effect if knocking out that gene slows growth/proliferation. " - ] - }, - { - "cell_type": "markdown", - "id": "50b32d42", - "metadata": {}, - "source": [ - "### Average Gene Effect in KRAS Wildtype and KRAS Mutant Cell Lines\n", - "\n", - "KRAS dependency heavily favors KRAS mutant cell lines. No other gene's depedencies are as skewed toward KRAS mutant cell lines. KRAS mutations appear to be self essentializing." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "e6b695e6", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_549273/1514998632.py:62: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", - " xy = (mt_lab[i], wt_lab[i]),\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Text_coords are custom per graph \n", - "text_coords1 = [(0.95, 0.25), (0.1, 0.4)]\n", - "text_coords2 = [(0.95, 0.25), (0.1, 0.4)]\n", - "\n", - "gene_effect_scatter(kras_mt,\n", - " kras_wt,\n", - " \"KRAS\",\n", - " \"EGFR\",\n", - " tc1 = text_coords1,\n", - " tc2 = text_coords2,\n", - " name= None#figures/kras_gene_dependency_scatter.pdf\"\n", - " )\n" - ] - }, - { - "cell_type": "markdown", - "id": "11e97be8", - "metadata": {}, - "source": [ - "### Average Gene Effect of EGFR MT vs EGFR WT Cell Lines\n", - "We don't observed the same self esentializing effect with EGFR and EGFR mutations as we do with KRAS and KRAS mutations. The KRAS point moves upwards along the diaganol when KRAS mutant cell lines are removed, indicating the self essentializing effect of KRAS mutations was represented equally in both EGFR mutant and EGFR wild type cell lines. " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "d658fa0a", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_549273/1514998632.py:62: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", - " xy = (mt_lab[i], wt_lab[i]),\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "tc1 = [(0.4, 0.1), (0.2, 0.6)]\n", - "tc2 = [(0.4, 0.1), (0.2, 0.6)]\n", - "\n", - "gene_effect_scatter(egfr_mt,\n", - " egfr_wt,\n", - " \"EGFR\",\n", - " \"KRAS\",\n", - " tc1 = tc1,\n", - " tc2 = tc2,\n", - " name = None#\"figures/egfr_gene_dependency_scatter.pdf\"\n", - " )" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/source/kras_egfr_scatter.ipynb b/docs/source/kras_egfr_scatter.ipynb new file mode 120000 index 0000000..c3c2e99 --- /dev/null +++ b/docs/source/kras_egfr_scatter.ipynb @@ -0,0 +1 @@ +../../notebooks/kras_egfr_scatter.ipynb \ No newline at end of file diff --git a/notebooks/brca_heatmap.ipynb b/notebooks/brca_heatmap.ipynb new file mode 100644 index 0000000..5bf0b74 --- /dev/null +++ b/notebooks/brca_heatmap.ipynb @@ -0,0 +1,674 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b1ac0947", + "metadata": {}, + "source": [ + "# _BRCA_ Heatmap" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "93b49611", + "metadata": {}, + "outputs": [], + "source": [ + "import CanDI.candi as can\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from mpl_toolkits.axes_grid1 import make_axes_locatable\n" + ] + }, + { + "cell_type": "markdown", + "id": "3f9e2439", + "metadata": {}, + "source": [ + "### Cancer Object Instantiation\n", + "We're interested in cross referencing some data in breast and ovarian cancer so instantiate cancer objects as follows.\n", + "To double check the object instantiation I check the length of the depmap_id vectors. This lets me know we're able to index other datasets correctly" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c220005a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "74\n", + "83\n" + ] + } + ], + "source": [ + "ov = can.Cancer(\"Ovarian Cancer\")\n", + "br = can.Cancer(\"Breast Cancer\")\n", + "\n", + "#Number of Ovarian Cell lines\n", + "print(len(ov.depmap_ids))\n", + "#Number of Breast Cell Lines\n", + "print(len(br.depmap_ids))" + ] + }, + { + "cell_type": "markdown", + "id": "659d1805", + "metadata": {}, + "source": [ + "### Subsetting by mutation status\n", + "\n", + "Explicitly load mutations into memory.This only needs to be done once\n", + "You will be done prompted to load a given dataset if using operations that act\n", + "on that dataset and it is not in memory." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d098ddf9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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geneEntrez_Gene_IdNCBI_BuildChromosomeStart_positionEnd_positionStrandVariant_ClassificationVariant_TypeReference_Allele...isCOSMIChotspotCOSMIChsCntExAC_AFVariant_annotationCGA_WES_ACHC_ACRD_ACRNAseq_ACSangerWES_ACWGS_AC
0VPS13D551873711235934712359347+Nonsense_MutationSNPC...False0.0NaNdamaging34:213NaNNaNNaN34:221NaN
1AADACL43430663711272630812726322+In_Frame_DelDELCTGGCGTGACGCCAT...False3.0NaNother non-conserving57:141NaNNaNNaN9:028:32
2IFNLR11637023712448417224484172+SilentSNPG...False0.0NaNsilent118:0NaNNaN10:0118:018:0
3TMEM57552193712578501825785019+Frame_Shift_InsINS-...False0.0NaNdamagingNaNNaNNaN6:28NaNNaN
4ZSCAN2075793713395414133954141+Missense_MutationSNPT...False0.0NaNother non-conserving28:62NaNNaNNaN27:61NaN
..................................................................
1230240SLC39A455630378145641991145641991+SilentSNPC...False0.00.000017silent52:23NaNNaNNaNNaNNaN
1230241TAL26887379108424778108424778+Start_Codon_SNPSNPA...False0.0NaNdamaging27:0NaNNaNNaNNaNNaN
1230242TRO721637X5495509854955098+SilentSNPC...False0.0NaNsilent5:16NaNNaNNaNNaNNaN
1230243USP5115888037X5551470355514703+Missense_MutationSNPG...False0.0NaNother non-conserving23:0NaNNaNNaNNaNNaN
1230244C1GALT1C12907137X119760406119760406+Missense_MutationSNPT...False0.0NaNother non-conserving28:0NaNNaNNaNNaNNaN
\n", + "

1230245 rows × 32 columns

\n", + "
" + ], + "text/plain": [ + " gene Entrez_Gene_Id NCBI_Build Chromosome Start_position \\\n", + "0 VPS13D 55187 37 1 12359347 \n", + "1 AADACL4 343066 37 1 12726308 \n", + "2 IFNLR1 163702 37 1 24484172 \n", + "3 TMEM57 55219 37 1 25785018 \n", + "4 ZSCAN20 7579 37 1 33954141 \n", + "... ... ... ... ... ... \n", + "1230240 SLC39A4 55630 37 8 145641991 \n", + "1230241 TAL2 6887 37 9 108424778 \n", + "1230242 TRO 7216 37 X 54955098 \n", + "1230243 USP51 158880 37 X 55514703 \n", + "1230244 C1GALT1C1 29071 37 X 119760406 \n", + "\n", + " End_position Strand Variant_Classification Variant_Type \\\n", + "0 12359347 + Nonsense_Mutation SNP \n", + "1 12726322 + In_Frame_Del DEL \n", + "2 24484172 + Silent SNP \n", + "3 25785019 + Frame_Shift_Ins INS \n", + "4 33954141 + Missense_Mutation SNP \n", + "... ... ... ... ... \n", + "1230240 145641991 + Silent SNP \n", + "1230241 108424778 + Start_Codon_SNP SNP \n", + "1230242 54955098 + Silent SNP \n", + "1230243 55514703 + Missense_Mutation SNP \n", + "1230244 119760406 + Missense_Mutation SNP \n", + "\n", + " Reference_Allele ... isCOSMIChotspot COSMIChsCnt ExAC_AF \\\n", + "0 C ... False 0.0 NaN \n", + "1 CTGGCGTGACGCCAT ... False 3.0 NaN \n", + "2 G ... False 0.0 NaN \n", + "3 - ... False 0.0 NaN \n", + "4 T ... False 0.0 NaN \n", + "... ... ... ... ... ... \n", + "1230240 C ... False 0.0 0.000017 \n", + "1230241 A ... False 0.0 NaN \n", + "1230242 C ... False 0.0 NaN \n", + "1230243 G ... False 0.0 NaN \n", + "1230244 T ... False 0.0 NaN \n", + "\n", + " Variant_annotation CGA_WES_AC HC_AC RD_AC RNAseq_AC SangerWES_AC \\\n", + "0 damaging 34:213 NaN NaN NaN 34:221 \n", + "1 other non-conserving 57:141 NaN NaN NaN 9:0 \n", + "2 silent 118:0 NaN NaN 10:0 118:0 \n", + "3 damaging NaN NaN NaN 6:28 NaN \n", + "4 other non-conserving 28:62 NaN NaN NaN 27:61 \n", + "... ... ... ... ... ... ... \n", + "1230240 silent 52:23 NaN NaN NaN NaN \n", + "1230241 damaging 27:0 NaN NaN NaN NaN \n", + "1230242 silent 5:16 NaN NaN NaN NaN \n", + "1230243 other non-conserving 23:0 NaN NaN NaN NaN \n", + "1230244 other non-conserving 28:0 NaN NaN NaN NaN \n", + "\n", + " WGS_AC \n", + "0 NaN \n", + "1 28:32 \n", + "2 18:0 \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1230240 NaN \n", + "1230241 NaN \n", + "1230242 NaN \n", + "1230243 NaN \n", + "1230244 NaN \n", + "\n", + "[1230245 rows x 32 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "can.data.load(\"mutations\")" + ] + }, + { + "cell_type": "markdown", + "id": "2421b512", + "metadata": {}, + "source": [ + "I want to look at BRCA1 mutations in these types of cancers. I start by using the mutated function to identify ovarian and breast cancer cell lines with BRCA1 mutations. A cancer object's mutated method's default behavior is to output a list of depmap ids corresponding to celllines containing any mutation within the given genes. I then instantiate CellLineCluster objects of exclusively mutated or wild type cell lines for both breast and ovarian cancer. This makes comparing these cell lines easier.\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "28fb0265", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\n", + "\n", + "True\n", + "True\n" + ] + } + ], + "source": [ + "ov_mt_list = ov.mutated([\"BRCA1\"]) #List of depmap_ids\n", + "br_mt_list = br.mutated([\"BRCA1\"]) #list of depmap_ids\n", + "\n", + "ov_mt = can.CellLineCluster(ov_mt_list) #CellLineCluster obj\n", + "br_mt = can.CellLineCluster(br_mt_list)\n", + "\n", + "\n", + "print(\"Depmap_ids attribute should be the same as the list used to instantiate the CellLineCluster object\\n\")\n", + "print(ov_mt.depmap_ids == ov_mt_list)\n", + "\n", + "#CellLineCluster ojbect must be instantiated with a mutable sequence\n", + "#I use set operations to get wild type cell line ids and convert to a list\n", + "ov_wt_list = list(set(ov.depmap_ids) - set(ov_mt_list))\n", + "br_wt_list = list(set(br.depmap_ids) - set(br_mt_list))\n", + "\n", + "ov_wt = can.CellLineCluster(ov_wt_list)\n", + "br_wt = can.CellLineCluster(br_wt_list)\n", + "print(ov_wt.depmap_ids == ov_wt_list)" + ] + }, + { + "cell_type": "markdown", + "id": "cb1fd667", + "metadata": {}, + "source": [ + "### Cross Referencing Mutation and Gene Knockout Data\n", + "I'm interested in how the mutation status of BRCA1 effects a cancer's dependency on the fanconi anemia genes.\n", + "To visualize this relationship I am going to make a heatmap of fanconi anemia genes sorting the cell lines by their BRCA1 mutation status. The following cell defines a function that plots a heatmap of the gene effect of the fanconi anemia genes separating them by the BRCA1 mutation status of a given cell line. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0a51271e", + "metadata": {}, + "outputs": [], + "source": [ + "def gene_effect_heatmap(obj1, obj2, genes, name = None):\n", + " \n", + " #Make Figure appropriate size, dpi, and font\n", + " plt.rcParams.update({\"figure.figsize\": (16, 6),\n", + " \"savefig.dpi\": 300,\n", + " \"font.size\": 12\n", + " })\n", + " \n", + " #One figure with one subplot\n", + " fig, ax = plt.subplots(1,1)\n", + " \n", + " #Construcat matrix to make heatmap and cell line labels\n", + " data = pd.concat([obj1.effect_of(genes), obj2.effect_of(genes)], axis=1)\n", + " names = can.data.cell_lines.loc[data.columns, \"cell_line_name\"]\n", + " \n", + " # We want to show all ticks...\n", + " ax.set_xticks(np.arange(len(names)))\n", + " ax.set_yticks(np.arange(len(genes)))\n", + " # ... and label them with the respective list entries\n", + " ax.set_xticklabels(names)\n", + " ax.set_yticklabels(genes)\n", + " \n", + " #make heatmap\n", + " im = ax.imshow(data, cmap=\"RdBu\")\n", + " \n", + " #Make colorbar scale to axis\n", + " divider = make_axes_locatable(ax)\n", + " cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n", + " cbar = ax.figure.colorbar(im, ax = ax, cax = cax)\n", + " cbar.ax.set_ylabel(\"Gene Effect\", rotation=-90, va=\"bottom\")\n", + " \n", + " #Draw Dividing line btween mutant and\n", + " ax.axvline(x=obj1.gene_effect.shape[1] - 0.5, c = \"black\", linewidth = 3)\n", + " plt.setp(ax.get_xticklabels(), rotation=-90, ha=\"left\", va=\"center\",\n", + " rotation_mode=\"anchor\")\n", + " plt.tight_layout()\n", + " plt.show()\n", + " \n", + " if name:\n", + " fig.savefig(name, dpi=300)\n" + ] + }, + { + "cell_type": "markdown", + "id": "9ed37fc0", + "metadata": {}, + "source": [ + "### Fanconi Anemia Genes Knockout Effect in Ovarian Cancer\n", + "BRCA1 Mutant Left of Vertical Line" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a3adc292", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Load Complete\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "genes = [\"FANC\" + i for i in [\"A\", \"C\", \"I\", \"M\", \"D2\", \"F\", \"E\"]]\n", + "gene_effect_heatmap(ov_mt, ov_wt, genes, name = None)" + ] + }, + { + "cell_type": "markdown", + "id": "f8aa60cd", + "metadata": {}, + "source": [ + "### Fanconi Anemia Genes Knockout Effect in Breast Cancer\n", + "BRCA1 Mutant Left of Vertical Line" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3f3cf06f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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fffWVrt7YsWOxa9cuCCF0+6ZMmYIvv/wSISEheP3111GlShV88skn8PLywmuvvaar5+zsjPfeew9Tp07FsGHD8PTTT2PPnj1YvXo13n//fXh4eFje8UqAiQ4iIiIiIiIiIiIisphKJUFlw2t0iIfo+8qVK/Huu+9i1apV+Pfff9GmTRts2rQJ/v7+pR7n5uaGnTt3Yvr06Zg3bx60Wi0CAwPx6aefonbt2np1p0yZgipVqiA2Nhapqanw8fHBp59+ildeeaXc51tZMdFBRERERERERERERBaTVPc2W/UwfXdycsLChQuxcOFCk3V27txpdH/9+vWxdu1as+JMmDABEyZMKP8JPiKY6Khg9id2w97VRdaY/Vt0ljUeAKSdvi57TABo1MZXljhFd27h6gb9ffVrusDJvaos8Uu4Ocn/K+vqVEX2mACwfHm6InHTnqqnSNy9x6/KHrNaDXnvTSUKCzSKxPXydJU9pqZ1M9ljAoA2aqwicbOnf6NIXKGV/5q6nVsoe0wAqFtL3vedEv/p1USRuL/+If+9MWP7QdljAkDj9k8oEnd6b3mepR60Y98F2WPOHdZG9pgAsO0v+a9jAEg7IX/cnr61ZI8JAH9ezlEkbivvaorE3ZAj/3tQbqEyz2/uCvz9AwCFGq0ice9mF8ges0dosOwxASD4SS9F4h65cEuRuBev3ZU9Zva/ebLHBIC+gY0VifvbX9dkj+mscpQ9JgDMXpkhazxNQW656kuSBKmc61Q8Tmy570pjooOIiIiIiIiIiIiILGZnL8HOhtfogIaJDqUw0UFEREREREREREREFpMkCZINr9HBER3KYaKDiIiIiIiIiIiIiCymkiSobPjDfmHDfVcaEx1EREREREREREREZDmVbY/ogC33XWFMdBARERERERERERGRxSQbT3TYct+VxkQHEREREREREREREVnMzk4FOzvbXYxc2HDflcZEBxERERERERERERFZTFLd22yVLfddaUx0EBEREREREREREZHFVCoJKhuevsmW+660Cs8xLV++HJIkGd1mzJihqxcfHw9JktClSxeTbZUcFxsbazLOoUOHDMoOHz6M8PBw+Pj4wNHRER4eHujbty8SExOh0Wj06ubn5+PTTz9Fly5dUK1aNTg5OaFZs2Z46aWXcPLkSQteCSIiIiIiIiIiIqLHV8kaHba8kTJkG9Exd+5cNG7cWG9fq1atdP+vVqvRqFEjHDhwAKdPn4avr6/JthYuXIjJkyfDxcWlzLjLli1DVFQUvLy8EBERAT8/P+Tk5CAtLQ3jx49HVlYWZs2aBQC4fv06nnnmGWRkZGDgwIEYPXo0XF1d8ddffyE5ORlLly5FYWHhQ74CRERERERERERERI8vrtFhu31XmmyJjv79+6Njx45GyzIzM7F3716kpKRg0qRJUKvViI6ONlq3Xbt2OHz4MBISEvDqq6+WGnPfvn2IiopCt27dsGXLFri5uenKpk2bhkOHDuHYsWO6fZGRkfjtt9+wbt06PPfcc3ptvffee3j77bfN7S4RERERERERERGRTZEk2x7VIEm223elVYoUk1qtRo0aNRASEoKwsDCo1WqTdXv06IHevXtjwYIFyMvLK7XdOXPmQJIkqNVqvSRHiY4dOyIyMhIAsH//fmzevBnjx483SHIAgKOjIz7++OPydYyIiIiIiIiIiIjIRtipJJvfSBmyJTpu376N69ev620l1Go1hg4dCgcHB4waNQqnTp3CwYMHTbYVExODK1euYPHixSbr5ObmIi0tDf7+/mjQoEGZ55eamgoAiIiIKEev/r+CggJkZ2frbURERERERERERES2QlUJEg1KblyMXDmyTV3Vt29fg31CCGRkZODEiRNYtGgRAKBnz56oX78+1Go1OnXqZLStXr16ISgoSLdWh7Ozs0Gd06dPo6ioCK1btzbr/I4fPw4AZtd/0Icffog5c+Y81LFEREREREREREREjzoHexWq2FeKSYQUIdlw35UmW6IjLi4OzZo1M9ivVqvh5eWFoKAgAPfmMRsxYgRWr16N2NhY2NnZGW0vJiYGAQEBSEhIwPTp0w3KS0ZUGJuyypjy1n/QzJkz9dYMyc7Oho+Pz0O1RURERERERERERPSosfXpm7Q23HelyZbo6Ny5s8Fi5BqNBsnJyQgKCkJmZqZuf5cuXRAbG4u0tDT069fPaHv+/v4ICgrCggULEBUVZVDu7u4OAMjJyTHr/O6vX716dbOOuZ+joyMcHR3LfRwRERERERERERHR48BeBdjb8If9ggM6FCNbosOY9PR0ZGVlITk5GcnJyQblarXaZKIDAKKjoxEYGIglS5YYJCd8fX1hb2+Po0ePmnUuLVq0AAAcPXoUvXr1Mr8TRERERERERERERMQRHTbcd6UpmuhQq9Xw9PREXFycQVlKSgrWr1+PhIQEo2twAEBAQAACAwMxf/58zJ49W6/MxcUFvXv3Rnp6Oi5cuFDmNFKDBg3Chx9+iNWrVzPRQURERERERERERFROKhtPdGhsuO9KUyzRkZeXh5SUFAwbNgxhYWEG5d7e3khKSkJqaipGjBhhsp2YmBgEBgZi6dKlBmXR0dFIS0tDREQENm3aBFdXV73yjIwMHDt2DOPGjUO3bt3wzDPPYNmyZejfvz+effZZvbqFhYWYNWsWPv7444frMBEREREREREREdFjzMHODg72xtdctgkm1pumiqdYoiM1NRU5OTkYPHiw0fKuXbuidu3aUKvVpSY6AgICEBAQgF27dhmUde/eHXFxcZgyZQpatGiBiIgI+Pn5IScnBzt37kRqairmzZunq79y5Ur069cPQ4cOxaBBg9CnTx9UrVoVp06dQnJyMrKyspjoICIiIiIiIiIiIjLC1qeusuW+K02xRIdarYaTkxOCg4ONlqtUKoSEhECtVuPGjRuoWbOmybZiYmIQFBRktGzSpEno1KkTYmNjsXLlSly7dg2urq5o3749EhMTER4erqtbu3Zt7N27F/Hx8fjf//6Ht99+G4WFhWjYsCEGDx6MV155xbJOExERERERERERET2mmOiw3b4rrcITHZGRkYiMjDTYn5qaWuaxiYmJSExM1P1bCGG0XmBgoMkyAGjfvj3UanXZJwvA2dkZr732Gl577TWz6hMRERERERERERERYCdJsJNs98N+Oft+69YtvPnmm1i/fj1yc3PRuXNnxMbGon379qUep9VqsXLlSqSkpOC3337DzZs30bhxY4wcORKvv/46nJyc9OpLJvr04YcfYsaMGVbrj6UUXYyciIiIiIiIiIiIiB4PVexVcLBXKX0aihEy9V2r1SIkJARHjhzBG2+8gVq1aiE+Ph6BgYHIyMiAn5+fyWNzc3Px/PPPo2vXroiKioKnpyd++eUX3XrX6enpBsmN4OBgjB07Vm/fU089VSF9e1hMdBARERERERERERGRxexVEuxtePomjUx9X7duHfbu3Yu1a9ciLCwMADB8+HA0a9YM0dHRWLNmjcljHRwc8PPPP6N79+66fRMmTECjRo10yY6+ffvqHdOsWTO9JSAqI9tNrxERERERERERERGR1ZSs0WHLmxzWrVsHLy8vDB06VLevdu3aGD58ODZu3IiCggKTxzo4OOglOUqEhoYCAI4fP270uLy8POTn51t45hWHiQ4iIiIiIiIiIiIispjSSYbKsAFAdna23lZa4uFh/Pbbb2jfvj1UKv2P9zt37ozc3FycPHmy3G1evnwZAFCrVi2DsuXLl6Nq1apwdnbGE088UeqIkYeRnZ2Nf/75Bzk5OQ/dBqeuIiIiIiIiIiIiIiKLVbGz7TU6tHb3+u7j46O3Pzo6GjExMVaLk5WVBX9/f4P9devWBQBcunQJrVu3LlebCxYsgLu7O/r376+3v3v37hg+fDgaN26MS5cuIS4uDmPGjMHt27cxefLkh+7D6dOnsWDBAmzevBlZWVm6/d7e3ggJCcFbb72FJk2amN0eEx1EREREREREREREZDE5p2+qjEr6fuHCBbi7u+v2Ozo6mjxGq9WisLDQrPYdHR0hSRLy8vKMtunk5ATg3jRT5fHBBx/gxx9/RHx8PKpXr65X9vPPP+v9+4UXXkCHDh0wa9YsREZGwtnZuVyxACA1NRWjR49GXl4efH19ERoaCldXV9y5cwfHjh3DsmXLsGbNGiQlJWHgwIFmtclERwUraO6PgvsuajlEx+2TNR4A1Kxe/gvaGhydq8gSR9IYxtm8cgMkBxdZ4pcYNWWUrPEAKPbm9ESvtorE9XQ3/cZTkTr61ZQ95tVs6w6bNFdthV7jwmKtInGV4FxFmW/PNH3KV5G4RQXFssfs1MhD9pgAsOvkNUXirsy4oEhc1+pOsscMDu0he0wAuJ1bpEjc87fL9weQtTRsIv/v0NErDz8M3hJ5hRpF4ro6yf+n3rwVGbLHBIChTzdTJG49pZ4bu/qUXekx0aSGvH9vlahip8yzVL2mCtwbD/wte0wACHrCU5G4gc1qKxLX39dwGpiKtu/cTdljAsDf13MViXvpVFbZlazMt0Nj2WMCwBuhT8oaL/dODp7/3Pz6THTc67u7u7teoqM0u3fvRlBQkFl1jx8/jhYtWsDZ2dnodFgla2iUJ/nwv//9D++88w7Gjx9v1ggNBwcHvPTSS4iKikJGRgZ69uxpdiwAyMzMxOjRo9GkSRN8/fXX6Nixo0GdQ4cO4fnnn8fIkSNx7NgxNGrUqMx2meggIiIiIiIiIiIiIovZqZT70mxl8DC58hYtWiAxMdGsuiVTU9WtW1dvuqcSJfu8vb3Nam/79u0YO3YsQkJCkJCQYOYZ//+puW7eLH9SNTY2FlWqVMGPP/4IT0/jie+OHTsiLS0NzZs3x8cff4wvvviizHaZ6CAiIiIiIiIiIiIii3FER/n7XqdOHURGRpbrmHbt2mHPnj3QarV6C5Lv378fLi4uaNas7BGv+/fvR2hoKDp27IhvvvkG9vbmpwrOnj0LAKhdu/wj5bZv344xY8aYTHKU8PT0xJgxY7B9+3az2mWig4iIiIiIiIiIiIgsVsXethcj18jU97CwMKxbtw4pKSkICwsDAFy/fh1r167FoEGD9NbvOHPmDACgadOmun3Hjx9HSEgIGjVqhE2bNpmc6uratWsGyYycnBz897//Ra1atdChQ4dyn/vFixfRtq15U9a3bdvW7NEuTHQQERERERERERERkcXsJAl2kg2P6JCp72FhYejatSuef/55/Pnnn6hVqxbi4+Oh0WgwZ84cvbp9+vQBAJw7dw7AvUTF008/jX///RdvvPEGNm/erFe/adOm6NatGwAgLi4OGzZswKBBg9CgQQNkZWXh66+/xvnz57Fq1So4ODiU+9wlSYIQQm/fwYMHMXHiROzcuRPVqlXT7b9/tEpZmOggIiIiIiIiIiIiIoupJAkqG050yNV3Ozs7bNmyBW+88QY+//xz5OXloVOnTli+fDmaN29e6rE3btzAhQsXAAAzZswwKB83bpwu0dGjRw/s3bsXy5Ytw40bN1C1alV07twZX3/9NXr37v1Q596wYUNkZmbq7cvJycGRI0dQXFyst//EiRNmLUQOMNFBRERERERERERERFZgB8DOdvMcsJMxVo0aNbBs2TIsW7as1HolIzlKNGrUyGBEhSnBwcEIDg5+2FM0KigoCGvWrMHEiRN1IzauXLliUE+r1SIlJQX9+/c3q10mOoiIiIiIiIiIiIjIYlXsVKhiZ7trdBTbcN/NNWnSJCxZskRvzRBj4uPj8ffff2PSpElmtctEBxERERERERERERFZjFNX2W7fzdW6dWuo1WpcvHjRoKxq1aq6/w8NDcWQIUPg4+NjVruKpZiWL18OSZKMbvfPDRYfHw9JktClSxeTbZUcFxsbazLOoUOHDMoOHz6M8PBw+Pj4wNHRER4eHujbty8SExOh0Wj02n/ppZcs7DERERERERERERHR40sl3Zu6ylY3FfMcZhk+fDheffVVg83JyUlXp169emYnOYBKMKJj7ty5aNy4sd6+Vq1a6f5frVajUaNGOHDgAE6fPg1fX1+TbS1cuBCTJ0+Gi4tLmXGXLVuGqKgoeHl5ISIiAn5+fsjJyUFaWhrGjx+PrKwszJo16+E7RkRERERERERERGRDVCoJKhv+tN+W+/4wrl27hrNnz0KlUsHX1xc1atR46LYUT3T0798fHTt2NFqWmZmJvXv3IiUlBZMmTYJarUZ0dLTRuu3atcPhw4eRkJCAV199tdSY+/btQ1RUFLp164YtW7bAzc1NVzZt2jQcOnQIx44de/hOEREREREREREREdmYKioJVWz4w35b7nt5HD9+HFOnTsXOnTt1+yRJQlBQED777DM8+eST5W6zUq+OolarUaNGDYSEhCAsLAxqtdpk3R49eqB3795YsGAB8vLySm13zpw5kCQJarVaL8lRomPHjoiMjLT09ImIiIiIiIiIiIhsRskaHba8UenOnTuHXr164ejRo5g1axbeeOMNSJKE9957Dzdu3EDPnj3x119/lbtdxRMdt2/fxvXr1/W2Emq1GkOHDoWDgwNGjRqFU6dO4eDBgybbiomJwZUrV7B48WKTdXJzc5GWlgZ/f380aNDAqn0hIiIiIiIiIiIislV2KsnmNypdySCEo0ePYt68eXj66achhMCkSZNw8OBB1K9fH2+//Xa521U80dG3b1/Url1bbwOAjIwMnDhxAiNHjgQA9OzZE/Xr1y91VEevXr0QFBSEhQsXmhzVcfr0aRQVFaF169ZW7UdBQQGys7P1NiIiIiIiIiIiIiJbofRoisqwUem2bduGCRMmoE6dOgZl9vb2GDduHHbs2FHudhVPdMTFxWH79u16G3BvNIeXlxeCgoIA3Juja8SIEUhOToZGozHZXkxMDC5fvoyEhASj5SUJCGNTVlniww8/RLVq1XRbeVaEJyIiIiIiIiIiInrU2UncqHQ3btxAkyZNTJZXrVoVubm55W5X8cXIO3fubLAYuUajQXJyMoKCgpCZmanb36VLF8TGxiItLQ39+vUz2p6/vz+CgoKwYMECREVFGZS7u7sDAHJycqzYC2DmzJl6i6BnZ2cz2UFEREREREREREQ2w95OhSp2in+3XjH2Ntx3c3l6euLKlSsmy7/55hu0atWq3O0qnugwJj09HVlZWUhOTkZycrJBuVqtNpnoAIDo6GgEBgZiyZIlqF69ul6Zr68v7O3tcfToUaues6OjIxwdHa3aJhEREREREREREdGjQgXAlpepYJqjbE899RR++eUXg/1xcXHYtm0bfvnlF2zYsKHc7VbKRIdarYanpyfi4uIMylJSUrB+/XokJCTA2dnZ6PEBAQEIDAzE/PnzMXv2bL0yFxcX9O7dG+np6bhw4QJHXRARERERERERERFZgZ0kwc6G16mw5b6bKzIyEnPnzsX169dRq1YtAPeWrZgzZw78/PyQkpKCQYMGlbvdSpfoyMvLQ0pKCoYNG4awsDCDcm9vbyQlJSE1NRUjRoww2U5MTAwCAwOxdOlSg7Lo6GikpaUhIiICmzZtgqurq155RkYGjh07hnHjxlneISIiIiIiIiIiIiIbYOsLctty380VGhqK0NBQ3b+7dOmCX3/9FZ6enqhbt+5Dt1vpEh2pqanIycnB4MGDjZZ37doVtWvXhlqtLjXRERAQgICAAOzatcugrHv37oiLi8OUKVPQokULREREwM/PDzk5Odi5cydSU1Mxb948q/WJiIiIiIiIiIiI6HFXxQ6oYsMrclexU/oMHj1Vq1ZF27ZtLW6n0iU61Go1nJycEBwcbLRcpVIhJCQEarUaN27cQM2aNU22FRMTg6CgIKNlkyZNQqdOnRAbG4uVK1fi2rVrcHV1Rfv27ZGYmIjw8HCr9IeIiIiIiIiIiIjIFqhsfOoqjugo24oVK8yqV97ZlhRLdERGRiIyMtJgf2pqapnHJiYmIjExUfdvIYTReoGBgSbLAKB9+/ZQq9VlxiutDSIiIiIiIiIiIiLi1FW23HdzvfDCCxBCQDLyWt3/Ofwjk+ggIiIiIiIiIiIioseHnereZqtsue/mOnjwoME+jUaDCxcuYOnSpbh27RoWLVpU7naZ6CAiIiIiIiIiIiIii9mpJNipbHdUgy333Vzt27c3ur9Tp04YOnQogoODsW7dOnTv3r1c7TLHREREREREREREREQWU0Gy+Y0sExoaitWrV5f7OI7oICIiIiIiIiIiIiKLSdK9zVbZct+t5dy5c8jNzS33cUx0EBEREREREREREZHFVNK9zVbZct/NtWvXLqP7//33X+zZsweff/45Bg0aVO52meggIiIiIiIiIiIiIotxRIfSZ1D59e7dG0IISP/3Yt3//3Z2dggLC8MXX3xR7naZ6CAiIiIiIiIiIiIii6kkCXY2/Gm/Ssa+37p1C2+++SbWr1+P3NxcdO7cGbGxsSYX+75fZGQkVqxYYbC/efPmOHHihN4+rVaLjz/+GIsXL0ZWVhaaNWuGmTNnYtSoUQ913jt27DDYJ0kSatSogYYNG8LNze2h2mWio4K5ZB2Dy52qssYcH9RU1ngAMCRjsewxASCxw4uyxLlzywl7H9j38uvhqFrdQ5b4JZp7usoaDwAu5xTIHhMAcrPzFYk7as8nisRN7z9T9pgZ5/+VPSYAtPKupkhcVwc72WP+qsDvLAC859FKkbiBP/ygSNyV3xyWPWbvJl1kjwkA4U0dFIkLbbEiYXc195Q95tW7hbLHBIAqCo1xfzbnZ0XiegYEyB7z37wi2WMCQNatPEXivt/VXfaYI9v5yx4TAHIKNYrEreaozJ/Tg9rWlT1mkxousscEgKY1nBSJqxVCkbijuzeUPWY1BT4/AIBO9eS/RwHAgh1nFIl74478zxdLhinzN0H8/ouKxF3zXH/ZY/5nqzJ9LdBoZY1XWM54nLpKnjharRYhISE4cuQI3njjDdSqVQvx8fEIDAxERkYG/Pz8ymzD0dERy5Yt09tXrZrhZzZvv/02PvroI0yYMAGdOnXCxo0bMXr0aEiShJEjR5b73P39K+aZkYkOIiIiIiIiIiIiIrKY9H+brZKr7+vWrcPevXuxdu1ahIWFAQCGDx+OZs2aITo6GmvWrCmzDXt7e4SHh5da559//kFsbCymTp2qm07qxRdfREBAAN544w0MGzYMdnYP98XSnJwcbN26FWfOnIFKpYKvry/69euHqlUfbtAAEx1EREREREREREREZDGVJMk6fVNlI1ff161bBy8vLwwdOlS3r3bt2hg+fDhWr16NgoICODo6ltmORqPB3bt34e5ufKTdxo0bUVRUhClTpuj2SZKEyZMnY/To0fjll1/Qs2fPcp9/UlISJk+ejOzsbEiSpFuno1q1avjss88QERFR7jZV5T6CiIiIiIiIiIiIiOgBdgDsJBveZHqdf/vtN7Rv3x4qlf7H+507d0Zubi5OnjxZZhu5ublwd3dHtWrV4OHhgalTp+LOnTsGcapWrYqWLVsaxCkpL6/du3dj7NixaN++PbZt24bVq1cDANLT0zFixAhERkbi+++/L3e7HNFBRERERERERERERBaTJAmSDY/oKOl7dna23n5HR0ezRliYKysry+haF3Xr3lvL69KlS2jdurXJ4+vWrYs333wT7du3h1arxQ8//ID4+HgcOXIEO3fuhL29vS6Ol5eXwc/0/jjl9dFHH6Fly5bYtm0b7O3tkZ6eDgBo1aoVFi9ejPPnz+PDDz9E//7lW3uHiQ4iIiIiIiIiIiIishgXI7/3Xx8fH7390dHRiImJMXqMVqtFYWGhWe07OjpCkiTk5eUZTZw4OTkBAPLy8kpt58MPP9T798iRI9GsWTO8/fbbWLdunW6RcUvjGLNv3z68/vrrumTKg0JCQvDmm2+Wu11OXUVEREREREREREREFpMkbgBw4cIF3L59W7fNnDnT5Gu2e/duODs7m7X99ddfAABnZ2cUFBQYtJWfn68rL6/p06dDpVLhxx9/1O2riDgFBQWoXbu2yfLc3FyDKbnMwREdRERERERERERERGQxO0mCnQ1PXVXSd3d3d5MLfD+oRYsWSExMNKtuyZRRdevWRVZWlkF5yT5vb2+z2rufs7MzatasiZs3b+rF27Fjh26xcGvEqVevHs6fP2+wXwiBa9euYfHixUan5SoLEx1EREREREREREREZDFOXVX+Y+rUqYPIyMhyHdOuXTvs2bMHWq1Wb/TD/v374eLigmbNmpX7PHJycnD9+nW90Rbt2rXDsmXLcPz4cTzxxBN6cUrKy6tXr17YvHkz3nvvPd0+SZIQHh6O/fv3Q6VSYcGCBeVut0Kmrlq+fLlu4ZkHtxkzZujqxcfHQ5IkdOnSxWRbJcfFxsaajHPo0CGDssOHDyM8PBw+Pj5wdHSEh4cH+vbti8TERGg0GoP2X3zxRaPx3377bV2d69evl+dlICIiIiIiIiIiIrIpkg1vcgkLC8OVK1eQkpKi23f9+nWsXbsWgwYN0ltX48yZMzhz5ozu3/n5+cjJyTFo87333oMQAs8884xu35AhQ1ClShXEx8fr9gkhkJCQgHr16qF79+7lPveXXnoJPXv21H3Wbm9vj2rVqiEzMxMjRozAb7/9ppdUMVeFjuiYO3cuGjdurLevVatWuv9Xq9Vo1KgRDhw4gNOnT8PX19dkWwsXLsTkyZPh4uJSZtxly5YhKioKXl5eiIiIgJ+fH3JycpCWlobx48cjKysLs2bN0tV3cnLCt99+i/j4eDg4OOi1lZSUBCcnJ928Y0RERERERERERERkiCM65IkTFhaGrl274vnnn8eff/6JWrVqIT4+HhqNBnPmzNGr26dPHwDAuXPnAACXL1/GU089hVGjRqFFixYAgK1bt2LLli145plnMGTIEN2x9evXx7Rp07Bw4UIUFRWhU6dO2LBhA/bs2QO1Wg07O7tyn/tTTz2Fp556Svdvf39/vemyHlaFJjr69++Pjh07Gi3LzMzE3r17kZKSgkmTJkGtViM6Otpo3Xbt2uHw4cNISEjAq6++WmrMffv2ISoqCt26dcOWLVvg5uamK5s2bRoOHTqEY8eO6R3zzDPPIDU1Fd9//73eD3Lv3r3IzMzEc889h2+//dbcbhMRERERERERERHZnJKZcWyVXH23s7PDli1b8MYbb+Dzzz9HXl4eOnXqhOXLl6N58+alHlu9enUMHDgQ27dvx4oVK6DRaODr64sPPvgAr7/+usFC4B999BFq1KiBJUuWYPny5fDz88Pq1asxevToiuxiuSm2RodarUaNGjUQEhKCsLCwUhMdPXr0gIeHBxYsWIDJkyeXupr7nDlzIEkS1Gq1XpKjRMeOHQ2SL/Xq1YO/vz/WrFmjl+hQq9Vo3bo1WrVqxUQHERERERERERERUSnspHubrZKz7zVq1MCyZcuwbNmyUuuVjOQoUb16daxatcrsOCqVCjNnzsTMmTMf5jRlUyFrdJS4ffs2rl+/rreVUKvVGDp0KBwcHDBq1CicOnUKBw8eNNlWTEwMrly5gsWLF5usk5ubi7S0NPj7+6NBgwblOtfRo0fju+++w507dwAAxcXFWLt2baXLTBERERERERERERFVRipJsvmNlFGhiY6+ffuidu3aehsAZGRk4MSJExg5ciQAoGfPnqhfvz7UarXJtnr16oWgoCAsXLgQeXl5RuucPn0aRUVFaN26dbnPNSwsDBqNBhs2bAAAbNu2DdevX8eoUaPMOr6goADZ2dl6GxEREREREREREZGtkCRupIwKTXTExcVh+/btehtwbzSHl5cXgoKCANybu2zEiBFITk6GRqMx2V5MTAwuX76MhIQEo+UlyQVjU1aVpUaNGnjmmWeQlJQEAFizZg26d++Ohg0bmnX8hx9+iGrVquk2Hx+fcp8DERERERERERER0aNKEsLmN1JGha7R0blzZ4P1MDQaDZKTkxEUFITMzEzd/i5duiA2NhZpaWno16+f0fb8/f0RFBSEBQsWICoqyqDc3d0dAJCTk/NQ5zt69GhERETg/Pnz2LBhAxYsWGD2sTNnztRbKD07O5vJDiIiIiIiIiIiIrIZkrYYkrZY6dNQjC33XWmyL0aenp6OrKwsJCcnIzk52aBcrVabTHQAQHR0NAIDA7FkyRJUr15dr8zX1xf29vY4evToQ53b4MGD4ejoiHHjxqGgoADDhw83+1hHR0c4Ojo+VFwiIiIiIiIiIiKiR57Q3ttslS333Uy7du0q9zEBAQFl1pE90aFWq+Hp6Ym4uDiDspSUFKxfvx4JCQlwdnY2enxAQAACAwMxf/58zJ49W6/MxcUFvXv3Rnp6Oi5cuFDuERXOzs549tlnsXr1avTv3x+1atUq1/FERERERERERERENkuIe5utsuW+m6l3794Q5XydtNqyE0iyJjry8vKQkpKCYcOGISwszKDc29sbSUlJSE1NxYgRI0y2ExMTg8DAQCxdutSgLDo6GmlpaYiIiMCmTZvg6uqqV56RkYFjx45h3LhxRtt+/fXX0bRpUzz99NPl7B0RERERERERERGRDeOIDqXP4JHw8ssvw9/fX2/fsWPHMGfOHHz99de6Nbh/+ukn/Pe//zWrTVkTHampqcjJycHgwYONlnft2hW1a9eGWq0uNdEREBCAgIAAo8Ncunfvjri4OEyZMgUtWrRAREQE/Pz8kJOTg507dyI1NRXz5s0z2Xbbtm3Rtm3b8neOiIiIiIiIiIiIyIZJWo1Nr1MhaTVKn8IjoVOnThg6dKjevurVq0MIgYEDB6JmzZoAgPz8fLPblDXRoVar4eTkhODgYKPlKpUKISEhUKvVuHHjhq5DxsTExCAoKMho2aRJk9CpUyfExsZi5cqVuHbtGlxdXdG+fXskJiYiPDzcKv0hIiIiIiIiIiIiov/DER1Kn4HNqpBER2RkJCIjIw32p6amlnlsYmIiEhMTdf82NV9XYGBgqXN5tW/fHmq1usx45swHFhMTg5iYmDLrEREREREREREREdksJjqUPgObJfti5ERERERERERERET0GBJawIyFox9bTHQohokOIiIiIiIiIiIiIrKYJLSQbPjDflvuuzVIkmTWPmOY6CAiIiIiIiIiIiIiy2k19zZbZct9N1N0dDTatGljsN/f3x9ZWVl663b36tULSUlJZrXLRAcRERERERERERERWY5rdCh9BpXe7Nmzje63t7eHp6cncnNzce3aNTRs2BA+Pj7w8fExq10mOoiIiIiIiIiIiIjIYpIQNj19kySE0qfwyNuwYQPCw8OhLedaL0x0EBEREREREREREZHlOKJD6TOo9IKCgkotv3LlCiRJQp8+feDp6YmgoCCMHz8ednZ2pR7HRAcRERERERERERERWU5bfG+zVbbcdzPdvHkTopSRL3fv3oUQAteuXcOpU6fwv//9D6dPn8aCBQtKbZeJjgqmzb8Lrcyvci0XB3kDAvi00TjZYwLA3+dvyRInPzvbYF9K2mnYu1STJX6JV0e0lTUeAJy9dkf2mADgpMB1DABftHxJkbh/H7sse8xOTTxkjwkAv57/V5G4OfnyP2ycvWR475DDmhvHFInbPnKxInHHTwqRPWbc3r9ljwkA3+/KVCSui7ujInGrujvJHrNFPXfZYwJAuwbVFYl7/ckBisT9cbf81/LAJ+rIHhMA5v+kzP2imVcr2WNeun1V9pgAkFeozKKfr/dqqEjcOd//I3vMib0ayx4TAG4q8PwGAKnHlbmWz16V/2+vk/8o87xav3ZVReIue66lInFP3pL/Wh62/FfZYwLAoKe8FYn7/v4bssd0sFfJHhMAijTyTo1U3niS0Nr41FW223dzHTlypNTypKQkjBkzBr///jsA4PXXX0dycnKZiQ5lfiOJiIiIiIiIiIiI6PGi1XIjiwghIEmS7t9PPfUU/vmn7C96cEQHEREREREREREREVlOiHubrbLlvltJcHAw0tPTdf9u0KABhgwZUuZxTHQQERERERERERERkcUkbTEkG16nwpb7bi3bt29HeHg4tP83OqZXr17o1atXmccx0UFERERERERERERElhPae5utsuW+m6lJkyZlLkYuSRKaNm0KT09PBAUF4e2330bVqqWv78Q1OoiIiIiIiIiIiIjIckL8/2SHTW7yTV1169YtTJw4EbVr10bVqlURFBSEX3/91axjJUkyuQUHB+vqnTt3zmS95OTkhzrv1q1bl7r5+PhACIEnn3wSVapUwccff4xXXnmlzHY5ooOIiIiIiIiIiIiILCc0gFaj9FkoR8jTd61Wi5CQEBw5cgRvvPEGatWqhfj4eAQGBiIjIwN+fn6lHr9q1SqDfYcOHcJnn32Gfv36GZSNGjUKAwYM0NvXrVu3hzr3jRs3llq+Zs0ahIeHIzU1FQAwb948xMXFldkuEx1EREREREREREREZDGh1UJobXf6Jrn6vm7dOuzduxdr165FWFgYAGD48OFo1qwZoqOjsWbNmlKPDw8PN9i3c+dOSJKEUaNGGZS1b9/e6DEVRZIk3f83adIEV65cKfMYJjqIiIiIiIiIiIiIyHLFhUBxFaXPQjnFhbKEWbduHby8vDB06FDdvtq1a2P48OFYvXo1CgoK4OjoaHZ7BQUF+PbbbxEQEID69esbrXP37l1UqVIFDg4OFp9/aUJDQ5GZman7d8uWLTFt2rQyjyv3Gh3Lly83OS/XjBkzdPXi4+MhSRK6dOlisq2S42JjY03GOXTokEHZ4cOHER4eDh8fHzg6OsLDwwN9+/ZFYmIiNJr/Pzzo/nOzt7eHh4cHOnTogFdeeQV//vmnQbsXLlzAnDlz0LlzZ9SoUQO1atVCYGAgfvzxx/K+TEREREREREREREQ2RWg0Nr/J4bfffkP79u2hUul/vN+5c2fk5ubi5MmT5Wpvy5YtuHXrFsaMGWO0fM6cOXB1dYWTkxM6deqEbdu2PfS5A4AQAitXrsTAgQPRsmVLPPnkk3j22WexevVqODk5oUGDBrq6Tz31FD755JMy23zoER1z585F48aN9fa1atVK9/9qtRqNGjXCgQMHcPr0afj6+ppsa+HChZg8eTJcXFzKjLts2TJERUXBy8sLERER8PPzQ05ODtLS0jB+/HhkZWVh1qxZuvrBwcEYO3YshBC4ffs2jhw5ghUrViA+Ph7z58/Hq6++qqu7ceNGzJ8/H88++yzGjRuH4uJirFy5EsHBwfj666/x/PPPl+clIiIiIiIiIiIiIrIdWu29zVb9X9+zs7P1djs6OpZrhEVZsrKy4O/vb7C/bt26AIBLly6hdevWZrenVqvh6OiomwarhEqlQr9+/RAaGop69erh7Nmz+OSTT9C/f3+kpqYiJCSk3Oeu0WgwZMgQbNmyBfXr14eHhweOHj0KOzs7PP/881i1ahW+++67co8ceehER//+/dGxY0ejZZmZmdi7dy9SUlIwadIkqNVqREdHG63brl07HD58GAkJCXpJB2P27duHqKgodOvWDVu2bIGbm5uubNq0aTh06BCOHTumd0yzZs0M5g/76KOPMGjQILz22mto0aKFbiGVoKAgnD9/HrVq1dLVjYqKQrt27TB79mwmOoiIiIiIiIiIiIhM0WptezHy/0t0+Pj46O2Ojo5GTEyMiUO0KCw0b8orR0dHSJKEvLw8o4kTJycnAEBeXp7Zp5ydnY3NmzdjwIABqF69ul5ZgwYNsHXrVr19EREReOKJJ/Daa689VKLj008/xQ8//IAlS5ZgwoQJ2LFjB/r06YMdO3bg5MmT6NevH95//33MmTOnXO2We+oqc6jVatSoUQMhISEICwuDWq02WbdHjx7o3bs3FixYUOYPYM6cOZAkCWq1Wi/JUaJjx46IjIws8/xq1qyJ5ORk2Nvb4/3339ftf/LJJ/WSHMC9i2fAgAG4ePEicnJyymybiIiIiIiIiIiIyBYJTRFEsQ1vmiIA95ZIuH37tm6bOXOmydds9+7dcHZ2Nmv766+/AADOzs4oKCgwaCs/P19Xbq5vv/0W+fn5JqetepCHhweef/55/PXXX7h48aLZcUqsXLkSw4cPx4QJEwDcm8aqRLdu3TBp0qQyF1M35qFHdNy+fRvXr1/X21eSJFCr1Rg6dCgcHBwwatQoLF68GAcPHkSnTp2MthUTEwN/f38sXrzY5KiO3NxcpKWlwd/fX2+OrofVoEEDBAQEYMeOHcjOzoa7u7vJupcvX4aLi0upU2sVFBToXVwPDk8iIiIiIiIiIiIiepwJrQbChkd0lPTd3d291M+b79eiRQskJiaaVbdkaqq6desiKyvLoLxkn7e3t1ntAfc+y69WrRoGDhxo9jElI1Zu3rxpcvFyU06fPo1JkyaZLG/RogW++OKLcrUJWJDo6Nu3r8E+IQQyMjJw4sQJLFq0CADQs2dP1K9fH2q12mSio1evXggKCtKt1WEs43T69GkUFRWVa26xsrRq1QppaWk4d+4c2rRpY7TO6dOnkZKSgmHDhsHOzs5kWx9++GG5h9MQERERERERERERPTa0Ghufuqr8fa9Tp45ZsxTdr127dtizZw+0Wq3eguT79++Hi4sLmjVrZlY7WVlZ2LFjByIjI8u1hsjZs2cBALVr1y7XeQOAi4sLNKUs2n706FF4enqWu92HnroqLi4O27dv19uAexkgLy8vBAUFAQAkScKIESOQnJxcagdiYmJw+fJlJCQkGC0vGSFhbMqqh+Xq6goAJqekys3NxbBhw+Ds7IyPPvqo1LZmzpypNxzpwoULVjtPIiIiIiIiIiIiokqvZDFyW95kEBYWhitXriAlJUW37/r161i7di0GDRqkl7Q4c+YMzpw5Y7Sd5ORkaLVak9NWXbt2zWDfP//8g6+//hpt2rTRjTApjyZNmuD48eMG+2/evImlS5di8eLFGDVqVLnbfegRHZ07dzZYjFyj0SA5ORlBQUHIzMzU7e/SpQtiY2ORlpaGfv36GW3P398fQUFBWLBgAaKiogzKS4b6WHOdjDt37gAwnjzRaDQYOXIk/vzzT3z//fdlDvdxdHQsV9aLiIiIiIiIiIiI6HEiioogisxbWPtxJIqKZIkTFhaGrl274vnnn8eff/6JWrVqIT4+HhqNxmDWoT59+gAAzp07Z9COWq2Gt7c3AgMDjcZ58803cebMGfTp0wfe3t44d+4clixZgrt37+Kzzz57qHMfMmQIPv30U3z66ae6xdMlSULz5s0hSRKGDBmC9957r9ztPnSiw5j09HRkZWUhOTkZycnJBuVqtdpkogO4t/p8YGAglixZYrDCu6+vL+zt7XH06FGrne+xY8dgZ2eHxo0bG5RNmDABmzZtglqtRu/eva0Wk4iIiIiIiIiIiOixxKmrZAljZ2eHLVu24I033sDnn3+OvLw8dOrUCcuXL0fz5s3NauOvv/5CRkYGXn31Vb3pr+7Xr18/JCQkIC4uDv/++y+qV68Of39/vPPOO2jfvv1Dnfsrr7yC/v37Q/t/o198fHzw8ssvw9PTE0FBQejatetDtWvVRIdarYanpyfi4uIMylJSUrB+/XokJCSYXPU9ICAAgYGBmD9/PmbPnq1X5uLigt69eyM9PR0XLlzQLXjysM6fP49du3ahW7duBiM63njjDSQmJuK///3vQw2TISIiIiIiIiIiIrI1QquFkGn6pspIzr7XqFEDy5Ytw7Jly0qtZ2wkBwA0b94cQohSjx01apTVPx93dXXVS5L4+fnh008/tbhdqyU68vLydIt2h4WFGZR7e3sjKSkJqampGDFihMl2YmJiEBgYiKVLlxqURUdHIy0tDREREdi0aZNujY0SGRkZOHbsGMaNG1fqud68eROjRo2CRqPB22+/rVe2cOFCfPzxx5g1axZeeeWVUtshIiIiIiIiIiIiov/DER1Kn8Ej48yZM9iwYYNu/ZAmTZogNDQUTZs2faj2rJboSE1NRU5ODgYPHmy0vGvXrqhduzbUanWpiY6AgAAEBARg165dBmXdu3dHXFwcpkyZghYtWiAiIgJ+fn7IycnBzp07kZqainnz5ukdc/LkSaxevRpCCGRnZ+PIkSNYu3Yt7ty5g08++QTPPPOMru769evx5ptvws/PDy1btsTq1av12goODoaXl1d5XhYiIiIiIiIiIiIi2yBsPNEhbLjv5RAdHY33338fQgjdtFlarRYzZszAu+++i+jo6HK3abVEh1qthpOTE4KDg42Wq1QqhISEQK1W48aNG6hZs6bJtmJiYhAUFGS0bNKkSejUqRNiY2OxcuVKXLt2TTfcJTExEeHh4Xr1t2/fju3bt0OlUsHd3R2NGzfGuHHjMHHiRDzxxBN6dY8cOQIAOHXqFCIiIgxi79ixg4kOIiIiIiIiIiIiIiNEcTFEsTwLcldGorhY6VOo9FasWIF58+YhNDQUs2fP1n1Gf/z4ccydOxdz5sxB06ZNDT7nL0u5Ex2RkZGIjIw02J+amlrmsYmJiUhMTNT929QcYIGBgaXOD9a+fXuo1eoy45U1x9iDYmJiEBMTU65jiIiIiIiIiIiIiAicusqW+26mRYsWoVu3bli7di0kSdLtb926NdauXYtevXph0aJFFZ/oICIiIiIiIiIiIiJ6kNBoIDS2+2G/LffdXH/++SfmzZunl+S4X2hoKN59991yt8tEBxERERERERERERFZTqu9t9kqW+67mVxcXODo6Giy3MHBodRyU5joICIiIiIiIiIiIiKLieJCiGKV0qehGFFcqPQpVHpt2rTBwYMHTZbv378frVu3Lne7THQQERERERERERERkcWEVgthw6MabLnv5nrnnXeQlpZmstzHxwfjxo0rd7tMdBARERERERERERGRxYRWQGhs98N+oRVKn0Kl17t3b/Tu3dtk+QcffPBQ7TLRQUREREREREREREQWExqtbSc6bLjv1pKamopXXnkFmZmZ5TqOiQ4iIiIiIiIiIiIispi2qBhaezulT0Mx2qJipU+h0rt69Srmzp2LjIwM3L17F0Loj4K5ffs2Ll68qFunY8qUKZg8eXKZ7TLRUcFu794GrVP5V4m3xE++dWWNBwDt6lWTPSYA7D99Q5Y4hTn5BvtaPekFJ/cassQv4Wgv/2JOv565KXtMAPhzd4YicR0duygS104lyR5z1dZTsscEgB5PyX+PAoBfj2TJHvPmP5dljwkAnqpWisTdtXSiInEnrfpV9phBbZS5jscNaqlIXG93J0XiLtt1VvaYX33wuewxAaDj8DGKxP3zUrYicTdvOy17zIs382SPCQAfjOugSNxPfpT/fX5KUFPZYwJA2omrisS9kF2kSNwbt+S/lv+XcVH2mADwdXdFwqJDPR9F4qbuOy97zFZNPGSPCQCH/7qmSNxhq35XJO5TjeT97AAAmtSuKntMAPjut0uKxN2/NlX2mPXa9pA9JgDc6iTv+09R3p1y1eeIDtvtu7lefPFFbNmyBW3atEGtWrUMyrX/t85J7dq1AQAuLi5mtctEBxERERERERERERFZTGg00Go0Sp+GYoQN991cu3fvxpw5c/D2228bLU9KSsKYMWOQnp5ernaZ6CAiIiIiIiIiIiIiiwmhhdDa7qgGIWy37+bKycmBr6+vyfIHp7IyFxMdRERERERERERERGQxTl1lu303V0BAADw9PU2We3l5ITAwsNztMtFBRERERERERERERBbTFmmgtbPdBbm1RZy6qixlTUnVp08f9OnTp9ztMtFBRERERERERERERBbTarTQ2vCoBlvuu9KY6CAiIiIiIiIiIiIii3HqKtvtu9KY6CAiIiIiIiIiIiIiizHRYbt9V5pKrkDLly+HJElGtxkzZujqxcfHQ5IkdOnSxWRbJcfFxsaajHPo0CGDssOHDyM8PBw+Pj5wdHSEh4cH+vbti8TERGg0/3/+NFPnWadOHQtfBSIiIiIiIiIiIqLHk7a4GNoiG96KbXd9EqXJPqJj7ty5aNy4sd6+Vq1a6f5frVajUaNGOHDgAE6fPg1fX1+TbS1cuBCTJ0+Gi4tLmXGXLVuGqKgoeHl5ISIiAn5+fsjJyUFaWhrGjx+PrKwszJo1S1c/ODgYY8eO1WvD2dnZ3G4SERERERERERER2RSO6LDdvitN9kRH//790bFjR6NlmZmZ2Lt3L1JSUjBp0iSo1WpER0cbrduuXTscPnwYCQkJePXVV0uNuW/fPkRFRaFbt27YsmUL3NzcdGXTpk3DoUOHcOzYMb1jmjVrhvDw8HL2joiIiIiIiIiIiMg2abVaaLW2+2G/LfddabJNXWUOtVqNGjVqICQkBGFhYVCr1Sbr9ujRA71798aCBQuQl5dXartz5syBJElQq9V6SY4SHTt2RGRkpKWnT0RERERERERERGSzSkZ02PImh6ysLMyYMQNBQUFwc3ODJEnYuXNnudr4559/MHz4cFSvXh3u7u4YMmQIzp49a7TuV199hZYtW8LJyQl+fn5YtGiRFXphXbInOm7fvo3r16/rbSXUajWGDh0KBwcHjBo1CqdOncLBgwdNthUTE4MrV65g8eLFJuvk5uYiLS0N/v7+aNCggdnnmZ+fb3CeBQUFZh9PREREREREREREZEvurVVRZMObPGt0/PXXX5g/fz7++ecftG7dutzH37lzB0FBQdi1axdmzZqFOXPm4LfffkNAQABu3LihV3fJkiV48cUX8eSTT2LRokXo1q0bXn75ZcyfP99a3bEK2aeu6tu3r8E+IQQyMjJw4sQJXTaoZ8+eqF+/PtRqNTp16mS0rV69eiEoKEi3VoexNTROnz6NoqKicv/Av/rqK3z11Vd6+xITE02O/CgoKNBLhGRnZ5crHhEREREREREREdGjTGhtfI0Omaau6tChA27cuAEPDw+sW7cOw4YNK9fx8fHxOHXqFA4cOKD77L1///5o1aoVYmNj8cEHHwAA8vLy8PbbbyMkJATr1q0DAEyYMAFarRbvvfceJk6ciBo1ali3cw9J9hEdcXFx2L59u94G3BvN4eXlhaCgIACAJEkYMWIEkpOTodFoTLYXExODy5cvIyEhwWh5ScLB2JRVpRkyZIjBeT799NMm63/44YeoVq2abvPx8SlXPCIiIiIiIiIiIqJHWiWYOkrRaatkSvK4ubnBw8PjoY9ft24dOnXqpDfAoEWLFujTpw+++eYb3b4dO3bgxo0bmDJlit7xU6dOxd27d7F58+aHPgdrk31ER+fOnQ0WI9doNEhOTkZQUBAyMzN1+7t06YLY2FikpaWhX79+Rtvz9/dHUFAQFixYgKioKINyd3d3AEBOTk65zrN+/fpGR5+YMnPmTL1F0bOzs5nsICIiIiIiIiIiIpuh1WihteERHY9C37VaLX7//Xe88MILBmWdO3fGtm3bkJOTAzc3N/z2228AYPB5focOHaBSqfDbb78hPDxclvMui+yJDmPS09ORlZWF5ORkJCcnG5Sr1WqTiQ4AiI6ORmBgIJYsWYLq1avrlfn6+sLe3h5Hjx619mnrcXR0hKOjY4XGICIiIiIiIiIiIqqshFYr2/RNlVFJ3x9c1qAyfXZ88+ZNFBQUoG7dugZlJfsuXbqE5s2bIysrC3Z2dvD09NSr5+DggJo1a+LSpUuynLM5KkWiQ61Ww9PTE3FxcQZlKSkpWL9+PRISEoyuwQEAAQEBCAwMxPz58zF79my9MhcXF/Tu3Rvp6em4cOECR1kQERERERERERERVQBtoQZa+VdLqDS0hfeWYHjwM+jo6GjExMQYP0arRWFhoVntOzo6QpIki84xLy9P19aDnJyc9Ork5eXBwcHBaDtOTk66epWB4omOvLw8pKSkYNiwYQgLCzMo9/b2RlJSElJTUzFixAiT7cTExCAwMBBLly41KIuOjkZaWhoiIiKwadMmuLq66pVnZGTg2LFjGDdunOUdIiIiIiIiIiIiIrJBWq2NT131fyM6Lly4oFtSATCeVCixe/du3brVZTl+/DhatGhh0TmWDCYoKCgwKMvPz9er4+zsbDIJk5+fb3JgghIUT3SkpqYiJycHgwcPNlretWtX1K5dG2q1utRER0BAAAICArBr1y6Dsu7duyMuLg5TpkxBixYtEBERAT8/P+Tk5GDnzp1ITU3FvHnzrNYnIiIiIiIiIiIiIlsjtAJCK5Q+DcWU9N3d3V0v0VGaFi1aIDEx0ay6xqabKi8PDw84OjoiKyvLoKxkn7e3ty6eRqPB1atX9aavKiwsxI0bN3T1KgPFEx1qtRpOTk4IDg42Wq5SqRASEgK1Wo0bN26gZs2aJtuKiYkxmf2aNGkSOnXqhNjYWKxcuRLXrl2Dq6sr2rdvj8TExEqzaAoRERERERERERHRo0irAbQq2010aDXlP6ZOnTqIjIy0+rmYolKp0Lp1axw6dMigbP/+/WjSpAnc3NwAAO3atQMAHDp0CAMGDNDVO3ToELRara68MpAt0REZGWn0B5aamlrmsYmJiXpZLSGM/7IEBgaaLAOA9u3bQ61WlxmvtDaIiIiIiIiIiIiIyJC2UAOtsGwNiUeZtughMh0V7Pz588jNzdWb8iosLAwzZszAoUOH0LFjRwDAX3/9hfT0dLz++uu6er1794aHhwcWL16sl+hYvHgxXFxcEBISIl9HyqD4iA4iIiIiIiIiIiIievRpNcLGR3TI1/eSpRj++OMPAMCqVavw008/AQDeeecdXb2xY8di165del/unzJlCr788kuEhITg9ddfR5UqVfDJJ5/Ay8sLr732mq6es7Mz3nvvPUydOhXDhg3D008/jT179mD16tV4//334eHhIUdXzcJEBxERERERERERERFZTGi0ECrbXYxcyLgQ+7vvvqv376+//lr3//cnOoxxc3PDzp07MX36dMybNw9arRaBgYH49NNPUbt2bb26U6ZMQZUqVRAbG4vU1FT4+Pjg008/xSuvvGK9zlgBEx1EREREREREREREZDGtENDa8GLkWhmXRDB3+YWdO3ca3V+/fn2sXbvWrDYmTJiACRMmmHtqimCig4iIiIiIiIiIiIgspi3UQKO14TU6iivfGh22gokOIiIiIiIiIiIiIrKY0AgIyXZHdAgZ1+ggfUx0EBEREREREREREZHFmOiw3b4rjYkOIiIiIiIiIiIiIrKYVqOFVrLdxci1Mi5GTvqY6KhgriOnwc3dTdaYeTuvyBoPAFb+8rfsMQHg6qVsWeIU371jsO+vUzdgX7VYlvgl/r6cI2s8AHimfT3ZYwLAyYNVFYnrV8dVkbi/nrwue8z6PtVkjwkAJy7Jfx0DwKRnn5Q95r4zdWSPCQAXCh0ViRswcYkices9Kf/P1tNNmdd469HLisQ9ekCZ9/l2XRvJHrN58FDZYwKAZy1l3vd27LugSNy6TWrIHvPm3ULZYwLAL3//q0jcfAX6m7DrrOwxAeBZhZ5Xfzwj//MbAPx7xfBvk4pmV1+Z58bMqr6KxP1gzWFF4ga185Y95h8Xb8seEwAcHJX5OEqpv/d+/PUf2WOGdPaRPSYApO/MVCRuTd/2ssd8qoP8v7MA4GCvkjegXfniCSEgbHgxcnMXCCfrY6KDiIiIiIiIiIiIiCymKdRCY2e7C3JrOKJDMUx0EBEREREREREREZHFhEZAwHZHNXCNDuUw0UFEREREREREREREFtNqBLQ2nOjQMtGhGCY6iIiIiIiIiIiIiMhiQquFkCSlT0MxQsupq5TCRAcRERERERERERERWUxTpIVGY7uJDg0THYphooOIiIiIiIiIiIiILKfRQgjbTXSAiQ7FMNFBRERERERERERERBbTagS0wnbXqdBqbbfvSmOig4iIiIiIiIiIiIgsJjQCwoYTHYKJDsWo5AiyfPlySJJkdJsxY4auXnx8PCRJQpcuXUy2VXJcbGysyTiHDh0yKDt8+DDCw8Ph4+MDR0dHeHh4oG/fvkhMTIRGozFo39gWFRVl4StBRERERERERERE9Hgq0mptfiNlyDqiY+7cuWjcuLHevlatWun+X61Wo1GjRjhw4ABOnz4NX19fk20tXLgQkydPhouLS5lxly1bhqioKHh5eSEiIgJ+fn7IyclBWloaxo8fj6ysLMyaNUtXPzg4GGPHjjVop1mzZuZ0k4iIiIiIiIiIiMjmaMS9zVbZct+VJmuio3///ujYsaPRsszMTOzduxcpKSmYNGkS1Go1oqOjjdZt164dDh8+jISEBLz66qulxty3bx+ioqLQrVs3bNmyBW5ubrqyadOm4dChQzh27JjeMc2aNUN4eHg5e0dERERERERERERkuzRCQGPDU1fZct+VJsvUVeZQq9WoUaMGQkJCEBYWBrVabbJujx490Lt3byxYsAB5eXmltjtnzhxIkgS1Wq2X5CjRsWNHREZGWnr6RERERERERERERDatZESHLW+kDFkTHbdv38b169f1thJqtRpDhw6Fg4MDRo0ahVOnTuHgwYMm24qJicGVK1ewePFik3Vyc3ORlpYGf39/NGjQwOzzzM/PNzjP69evo7Cw0Ow2iIiIiIiIiIiIiGyJ9v9GdNjqpuWIDsXIOnVV3759DfYJIZCRkYETJ05g0aJFAICePXuifv36UKvV6NSpk9G2evXqhaCgIN1aHc7OzgZ1Tp8+jaKiIrRu3bpc5/nVV1/hq6++MtiflJSEkSNHGj2moKAABQUFun9nZ2eXKyYRERERERERERHRo6xQCNhpbffD/kImOhQja6IjLi7O6ILearUaXl5eCAoKAgBIkoQRI0Zg9erViI2NhZ2dndH2YmJiEBAQgISEBEyfPt2gvCTZYGzKqtIMGTIEL730ksH+0hImH374IebMmVOuOERERERERERERESPC40ANEqfhII4dZVyZE10dO7c2WAxco1Gg+TkZAQFBSEzM1O3v0uXLoiNjUVaWhr69etntD1/f38EBQVhwYIFiIqKMih3d3cHAOTk5JTrPOvXr2909ElpZs6cqbcwenZ2Nnx8fMrVBhEREREREREREdGjiokOpc/Adsma6DAmPT0dWVlZSE5ORnJyskG5Wq02megAgOjoaAQGBmLJkiWoXr26Xpmvry/s7e1x9OhRa5+2AUdHRzg6OlZ4HCIiIiIiIiIiIqLKSCMENLDdT/s1nLpKMbIuRm6MWq2Gp6cn1q5da7CNGjUK69evR15ensnjAwICEBgYiPnz5xvUc3FxQe/evbF7925cuHChortCREREREREREREZLOKtAKFNrwVybQ+SVZWFmbMmIGgoCC4ublBkiTs3LnT7ONTUlIwYsQINGnSBC4uLmjevDlee+013Lp1y6Buo0aNIEmSwWZshiUlKTqiIy8vDykpKRg2bBjCwsIMyr29vZGUlITU1FSMGDHCZDsxMTEIDAzE0qVLDcqio6ORlpaGiIgIbNq0Ca6urnrlGRkZOHbsGMaNG2d5h4iIiIiIiIiIiIhsFKeukifOX3/9hfnz58PPzw+tW7fGL7/8Uq7jJ06cCG9vb4SHh6NBgwY4evQovvjiC2zZsgW//vornJ2d9eq3a9cOr732mt4+Y2txK0nRREdqaipycnIwePBgo+Vdu3ZF7dq1oVarS010BAQEICAgALt27TIo6969O+Li4jBlyhS0aNECERER8PPzQ05ODnbu3InU1FTMmzdP75iTJ09i9erVBm15eXkhODi4nL0kIiIiIiIiIiIievzdS3TY7vRNciU6OnTogBs3bsDDwwPr1q3DsGHDynX8unXrEBgYaNDmuHHjoFar8eKLL+qV1atXD+Hh4ZaedoVSNNGhVqvh5ORkMnmgUqkQEhICtVqNGzduoGbNmibbiomJQVBQkNGySZMmoVOnToiNjcXKlStx7do1uLq6on379khMTDT4IW3fvh3bt283aCcgIICJDiIiIiIiIiIiIiIjOKJDnjhubm4WHf9gkgMAQkNDMW7cOBw/ftzoMYWFhSgqKkLVqlUtil1RZEl0REZGIjIy0mB/ampqmccmJiYiMTFR929hYkGXwMBAk2UA0L59e6jV6jLjldYGERERERERERERERlXLASKbHhER/Ej/Nny5cuXAQC1atUyKEtPT4eLiws0Gg0aNmyI6dOn45VXXpH7FEul6IgOIiIiIiIiIiIiIno8aISw8amr7vU9Oztbb7+joyMcHR2VOCWzzZ8/H3Z2dgZrabdp0wY9e/ZE8+bNcePGDSxfvhzTpk3DpUuXMH/+fIXO1hATHURERERERERERERkMU5dde+/Pj4+evujo6MRExNj9BitVovCwkKz2nd0dIQkSZacolFr1qzBV199hTfffBN+fn56ZQ/OyvT888+jf//++OSTT/Cf//wH9evXt/r5PAwmOoiIiIiIiIiIiIjIYhzRca/vFy5cgLu7u25/aaM5du/ebXLt6QcdP34cLVq0sOwkH7Bnzx6MHz8eTz/9NN5///0y60uShOnTp2Pr1q3YuXNnpVmknIkOIiIiIiIiIiIiIrIYR3Tc+6+7u7teoqM0LVq00FujujR169Z92FMz6siRIxg8eDBatWqFdevWwd7evHRByYiVmzdvWvV8LMFEBxERERERERERERFZrEgrIEm2O6Kj6CEWI69Tpw4iIyOtfzJlOHPmDJ555hl4enpiy5YtcHV1NfvYs2fPAgBq165dUadXbkx0EBEREREREREREZHFOHVV5ev7+fPnkZubqzfl1eXLl9GvXz+oVCps3brVZMLi5s2bqFatGuzs7HT7ioqK8NFHH8HBwcHsKbfkwERHBRH/d1Hn5OTIHrsg947sMYvy7soeEwA0BbmKxdEU5EKyryJL/BLF+fIP/su/K//1BADaojxF4hYq8PsDAMX58v8OKfQSo7hQmUGseXflvx8X5SlzPeXkZCsSV1uUr0hcud4L7qfE9QQo936rLZT/NQaU6a8S1xPw+D9LPag4X/4/AO0g73NbiYJc0/MxVyQlni2K7Ytljwkod0/OL1LmmUaJ31ulnpGVeqZR4vcHAApynWWPqdT7T3G+Mu8/SrzGgDLXlGJ/yyv03Kg1cyFna1Lq7z27YruyK1lRyX1CmPkBfh60uumbbFEhtLLFmjdvHgDgjz/+AACsWrUKP/30EwDgnXfe0dUbO3Ysdu3apfczfOaZZ3D27Fm8+eab+Omnn3THAYCXlxeCg4MB3FuIfN68eQgLC0Pjxo1x8+ZNrFmzBseOHcMHH3yAOnXqVHg/zSUJc69SKpeLFy/q5iojIiIiIiIiIiIielRduHAB9evXN1men5+Pxo0b4/LlyzKeVeVUp04dZGZmwsnJqULjSJJksuz+j/wDAwMNEh2lHRsQEICdO3cCADIyMjBnzhz8+uuvuHbtGhwcHNCuXTu8/PLLGDZsmOWdsCImOiqIVqvFpUuX4ObmVuqF86Ds7Gz4+PjgwoULZi9YYw2M+3jGtLW4ttRXW4trS31VKq4t9dXW4tpSX5WKa0t9tbW4ttRXpeLaUl9tLa4t9VWpuLbUV6Xi2lJfbS2uLfXV0rhCCOTk5MDb2xsqlarUuvn5+ShUYHRNZePg4FDhSQ4yxKmrKohKpSo1y1kWd3d3WW94jPt4x7S1uLbUV1uLa0t9VSquLfXV1uLaUl+VimtLfbW1uLbUV6Xi2lJfbS2uLfVVqbi21Fel4tpSX20tri311ZK41apVM6uek5MTP+AnxZSehiMiIiIiIiIiIiIiIqrEmOggIiIiIiIiIiIiIqJHFhMdlYyjoyOio6Ph6OjIuI9ZXFvqq1JxbamvthbXlvqqVFxb6qutxbWlvioV15b6amtxbamvSsW1pb7aWlxb6qtScW2pr0rFtaW+2lpcW+qrknGJ5MTFyImIiIiIiIiIiIiI6JHFER1ERERERERERERERPTIYqKDiIiIiIiIiIiIiIgeWUx0EBERERERERERERHRI4uJDiIiIiIiIiIiIiIiemTZK30C9P9t27YNr732GhYtWoTAwEC9sh9//BEff/wx/v77bzRp0gRvv/02unfvbpW4K1asKPcx48aNeyTj2lJflYprS30NCgpC27Zt8cknn0ClMp033rdvH2JjY/HWW2+hY8eOFsUElLtXPCgnJwfZ2dlwd3eHm5tbhcQAbOuaUqqvleWaksPjeD01adIEH3/8MYYOHVruGBVFiddZqetYibi7du1C8+bNUadOHYvbKo/H8feHcZWLqWTcB8n1TCN33CFDhmD06NEYMmQInJycrN5+aSrLz/ZB+fn5SE1NhVqtxsaNGys8XkWypd9bW+qrudasWYPw8HBotdoKi5GdnY2cnBy4ubnB3d29QmLMmTOnzDpCCMTExFRI/GvXriEtLQ1///038vPzZT8HOd5/KvN1TGRtkhBCKH0SdM+ECROQnp6OM2fO6O3PyMhAt27d4OLigg4dOuCPP/7ArVu3cPDgQbRu3driuHZ2dhBCQJIkgzJj+4UQVnkzLS3ug/FKWBq3MvZVibglr2lFxK1sfa3IuCUxBw0ahG+++QaOjo5G6xUXF6Nhw4YIDQ3FF198YVFMQLl7BQCcPXsWCxYswKZNm3Dp0iXd/nr16mHgwIF466230KhRI6vEKqHEvUKpuEr9/sh9TSmZWHkcrydPT0+MGDECixYtsugcrUmJa1mpe6MSce3s7FCtWjV89dVXCA0NLbWuNT8IsaX3+LLiPhivxKPa38rYV1PxrfWhnhLPNHLHdXV1RW5uLtzc3BAaGorw8HD07t271C/oWItSv7fGaLVapKenQ61WIyUlBXfu3IGTkxPu3r1rcdtKfoBYGX9vbekeJfd1/KCKSnScPn0aCxcuxKZNm5CVlaXb7+3tjYEDB+LNN99EkyZNrBbPzs7OZJm1f54P+uCDDzB37lwUFRWVWfdRfv+pzNcxkbVxREclsnfvXqN/rH744YcQQuDnn3/Gk08+iZycHHTs2BFz5szBunXrLI578OBBk/snT56MH3/8EdWqVbM4jrlx73fu3DkkJSVhy5YtyMvLq7CYSvVVibh//vknJk2aBE9PT6xYsQKurq4VHrNk/+P4Gg8ePBjff/89goODsWnTJqPfdLG3t8ewYcPw448/WiWmUveK7777DqNHj0Zubi6aNm2KZ599Fm5ubsjJycHRo0exdOlSqNVqJCUlISQkxOJ4JZS4VygVV6nrWO5rau3atcjNzTVIcmRkZGDAgAG6D4YzMjLQu3dvqybrHsfraejQoYiPj8etW7fQuXNnuLm5mf2hYQlrf2tLiWtZqXujUnHv3LmD5557DlOnTkVsbCwcHBwsbrMstvYeX9nuFxXZX6X6CgBz587FgAEDyqz3ww8/4J133rFKTKWeaeSOe/36dfz4449ITU3Fd999h5UrV6Ju3boYMWIExowZgw4dOlihV8Yp9Xt7v19//RVqtRrJycnIyspClSpV0KdPH4wePbrMJLG5XnjhhXJ/gGit99zK9ntr7Gdrrd9bW7ofK2ndunUYN24c8vPz0bhxY7171JEjR/Dll19i9erVWLlypdVGEl+7ds1gn0ajwfnz57FkyRJkZGTgm2++sUqs+yUlJeHdd9/F0KFDMXnyZDRv3hzOzs5Wj/Mgpd5/5P6dJVKMoErD3d1dfPnll3r7ioqKhKurq+jevbve/vfff180bNiwQs8nLS1NSJIkrl+/XqFxHnTt2jURFxcnevToIezs7ISnp6eYOnWq+PnnnyssplJ9lTvuwYMHRa1atUS1atWEo6Oj6Nmzp7hz544ssR/H11ilUonVq1eLH374Qbi6uop27dqJy5cvG6371VdfiapVq1olrhL3itOnTwsXFxfRqlUrsW/fPqN19u3bJ5588knh4uIizpw5Y3HMsihxr1AqbkX//sh9TT3xxBPitddeM9j/3HPPCXt7e3Hs2DEhhBDZ2dmiWbNm4rnnnrMonjke5espNzdXREVFCTc3N6FSqcq9SZJUgT3UV5HXslLPUUrEValU4vPPPxehoaFCpVKJp556Spw8edJoXbVaXeE/48fxPb40St0vlOhvRfe15FnKHNa6lpV6plH6WSolJUWoVCoxevRoUbduXSFJkmjZsqV47733xNmzZ60aqzQVfR1nZmaKefPmiZYtWwpJkoRKpRI9evQQcXFx4tq1a1aPl5GRYXRLSEgQkiSJ9PR0g7KKptTvrbGfbUW/B9nS/fhB1n5tjx07JhwdHUWrVq1Mvn4///yzePLJJ4Wjo6P4448/rBa7NGFhYWLcuHFWb7d79+6iZ8+eQqvVWr1tU5R6H6hMv7NEFY0jOiqRwsJCFBYW6u07cuQIcnNz0atXL739derUwZUrV+Q8vQp19+5drF+/HmvWrMGPP/4IFxcXPPvss3j33XcRHBwsy/Dqx116ejqeffZZODs7Y+fOnbh48SLCwsLQr18/bN261eojO2zJ008/jbS0NISEhKB79+7YvHkzWrRooVfn8uXLqFmzplXiKXGvWLhwIZycnJCWlgZPT0+jdbp06YL09HS0bNkS8+fPx5IlSyyO+yCl7hWP+z1K7mvq4sWLBr8jxcXF2Lp1Kzp37ownn3wSAODm5oZx48Zh6dKlFsUz5XG5npydnbF48WLExcXh77//RnZ2NjQaTYWce2Wm1HOUUnE9PDyQkpKCuLg4vPHGG+jYsSMWL16M0aNHW6V90ve4vw/cT86+Ojg4oLi42Ky6RUVFJqcJLQ+lnmmUfpYSQkAIgblz56JJkybYuXMnkpOT8d///hezZ89G9+7dMXr0aEyZMsVqMeW0ePFiqNVq7N27F5IkoVWrVvjggw8wevRoNGjQoMLitm/f3uj+W7duAQDatGljtb8BSsN71OPR1//85z9m1z158qRVY3/44YeoWbMmdu3aBQ8PD6N1unfvjt27d6N169b44IMPsHr1aquegzF9+/bFjBkzrN7u0aNH8e6775Z7FLQllH4fMEXcN0XY/f9P9ChioqMSadCgAX7++We9h8v169dDCIE+ffro1b1w4YIsD0xyWLVqFaKioqDVajFgwAAkJSVh4MCBVvlDhu7ZsGEDRo0aBS8vL2zfvh1+fn5o164dvv32W4SFhSE4OBjbtm2TdfHFx03nzp3x008/4ZlnnkHXrl3xxRdfIDw8HMC9eU4XLVoEf39/q8RS4l6xfft2jB071uQDWQlPT0+MHTsWqampFsd8kFL3Clu4R8l9TVWGxP7jeD2pVCo0btzYCmf5aFLqOUrp57epU6eiV69eGDlyJMLDw5GWloYvvvhClukXbIUtvA+UkLuvHh4eZt/jL1++bPLDt/JQ6pmmMjxLlZAkCUFBQQgKCkJcXBw2b96MV199FS+99NIjm+h46aWXIITAkCFDMHfuXKtNefko4D3q8enr4sWLFfugeefOnRg/fnyZ91kPDw+MHz8eX3/9tSzn9euvv1bIa1JcXAwXFxert1sapd4HnJyccPXqVYP9Je+/V69eRa1atXT7ateubZW4REpgoqMSGTBgAL744gu0bdsWISEhOHToED799FPUrl0bQUFBenX37duHJ554QqEzta5z584hPz8fXbp0wZAhQ/D0008/Ng8qlcHy5csxYcIE+Pn5Yfv27ahXr56uLCQkBCkpKRg6dCj69u2L7du3G11jgszTvHlz/PLLLxg2bBjGjh2LmTNnwsvLC3/88Qfs7e0xb948q8RR4l5x6dIltGrVyqy6rVq1QkJCgsUxH6TUvcIW7lFyX1NKfzAMPN7X05w5c8pVXwiBmJgYq56DEpR6jqoMz29t2rTBoUOHMHXqVCxfvhz79u3DN998oxsdRZaxhfeBEnL3tXXr1khPT8ebb75ZZt2dO3da5cNrpZ5pKsOz1IN++uknJCUlYd26dbh+/Tq6dOlS4TErSpcuXbB//35s3LgRf//9N0aNGoXRo0fr/e3zuOI96vHpq7kj3IB7a0yMGTPGarGvX79u9hdmGjdujOvXr1sl7ooVK4zu//fff7Fnzx5s2LDB6mvJAff68PPPP2Pq1KlWb9sUpd4HWrRoAbVajf/85z+wt7/3MbAQAqtXr4aTkxM+//xzJCQk4NatW1i+fDmfH+nRpsB0WWTCtWvXRNOmTYUkSbrN0dFRpKamGtTz8/MTixYtqtDzKZmvryLmMr1ffn6+WLt2rQgNDRVOTk7CxcVFDB8+XGzYsEEUFhZWaOwScvVV7rixsbFCkiTRsWPHUucP/f7774Wzs7Po1KlThZyHEI/na2xqrkutViuWL18unnnmGdGxY0cRERFh1TlMlbhXVKtWTcTHx5tVNz4+Xri7u1sc80FK3Sts4R4l9zU1bdo0YW9vL+bPny+OHTsmli9fLlxcXISnp6coKirSq/vMM8+I4OBgi+IZ8zhfT4/CGh0VcS0r9RylRNzS1jVYvXq1cHd3Fy4uLuLLL7+UdY2Ox+k9/n6V4X1ACHn6K3dfv/jiC6FSqURaWlqp9Xbs2KFbm8ZSSj3TKP0s9e233wpJksQ333wjXn/9deHj4yNUKpVo3ry5mDt3rizrqwlRsdfxmTNnxHvvvSeaN2+ue4/z9/cXCQkJ4ubNm1aPVxo513CQ+/fW1HvQzp07hbOzs7hx44Zun1qtFiqVymqxbel+XBZrv797e3uLd99916y6s2fPFt7e3laJW9ozau3atcWMGTNEXl6eVWLdb968eUKSJPHpp5+K3Nxcq7dvjFLvA0uXLhUqlUr4+fmJl156SUybNk20bdtWVKlSRaxcuVLY29uLatWqCQcHByFJkvj++++tEpdICZIQnICtMsnOzsby5ctx4sQJ1K1bF8OGDTOYx9zaHvy2YYl///0Xv//+O7p3744qVaro9gshsHPnzgo5l5ycHKxbtw5qtRq7du2Cu7s7wsLCMHr0aAQEBFjcvlJ9VSqunZ0dAgICkJqaWuYaHNu2bcOzzz6L3Nxci2La2musFLnvFf7+/mjQoIFZ87COGTMGf//9N3766acKO5+KvlcoFVfJ61jOa+r69evo2rUrzp49q9vn4OCAtWvXYtCgQXr1unfvjpdffhkvvfRShZwL8PhdTzdv3iz3MdaYDuZ+Sl3LSjxHKRHXzs4OK1euNPlNzjNnzmDkyJHIyMhA06ZNcebMGWi1Wovj8j1envtFZemvHH29e/cu2rZti6ysLLzzzjsYO3as3jfw//nnH6xatQrvvfcePD09cfToUYvXlVPqmcbf3x8NGzbEqlWrZI0rhMC+ffvwxRdfIDk5GUII1KlTByNHjsSYMWPQoUMHi2MYo/R1nJGRgTVr1iApKQlXrlyBvb09+vXrh9GjR+vWLaxI6enp6Nu3r96UMHKQ4/d25cqV8Pf3R6NGjcqse/PmTZw+fRqdO3e2Suz72dL92Jg1a9YgPDzcKu/vABAREYEdO3bg999/L/W58ObNm2jTpg0CAwOtskbH+fPnDfZJkoQaNWpU6DqiRUVFGDJkCLZu3Qo7Ozv4+PiUOpWVEALHjh2zKKaSf1O/8847iI2N1U0fXLduXXzxxRd49tlnkZ6ejlWrVqG4uBijRo3CgAEDrBKTSAlMdBDatm1b7jkPf//99wo6m//v8uXLSE5Oxpo1a3Do0CHUq1cPFy5csKhNpfqqVNwhQ4bgm2++MXs477Zt29CvXz+LYtraa2wrFi9ejOnTp+PPP/9EkyZNTNY7e/YsnnjiCSxYsAAvv/yyLOdWEfcKpeLa0nWs1AfSZXmcricl2dK1rISyEh3AvT/g33zzTXz++ecQQljlgxC+x+urqN/bytjfirxHHT9+HIMHD8bZs2chhEC1atXg6uqKO3fu4Pbt25AkCQ0bNsTGjRutMnWVUs80JXH/+OMPNG3aVJa4L7zwAjZv3oxr167B3d0doaGhGDNmDPr06VPhC/BWlutYCIH09HSo1WqkpKQgOzsbVatWxeDBg6FWqy1uvzJ/EP64PVuU5nG8H587dw4rVqzA66+/jqpVqxqUr1mzBhEREdBoNFaJ9+eff6JDhw5o0qQJEhISDNbNA4A9e/Zg0qRJOHv2LH799VerTcd58uRJbNu2DcXFxRg8eHCp92Zr27RpE7Zs2YK///4b+fn5pf6809PTLYql9N/Ud+7cwfHjx+Hq6go/Pz/dNFb3279/PxISEpCYmGi1uERyYqKjkrl69So++ugj3Y22oKCg1PrWyt4roUmTJmY9NEiShMuXLyM/P/+R7q8S3n33XaNvXqWJjo6uoLN5/OzatQuNGzdGgwYNSq137do1xMfHY8CAAejUqZNVYst9rzhw4AASExPRsmXLUh+2Fi1ahD/++AP//e9/4eTkZFHMEkrdK2ztHmUr7z+8nh5f5r7GJYQQOHfunFViy/3788ILL2DixIno2rVrmXW3bduGffv2Yfbs2RbFtEW29HurdF8LCwuxZs0abN26FadOnUJOTg7c3NzQtGlT9OvXD+Hh4Vabh1+pZ5qioiK8/PLLssZ1cnLCM888gzFjxmDw4MGP1VoGD6OgoADfffcd1Go1vv/+e+Tn51vcppIfhCv1e2tnZ1fuPlsaV+l7lBJKRgVlZWXBy8vLoPzatWs4fvw4/P39rRZz48aNCA8Px927d9GoUSO0adMGbm5uyMnJwe+//45z587B1dUVq1atwpAhQ6wSc/PmzXjuuedQVFQE4N4o7x9//BE9evRAQUEB/P39ERUVheeff94q8Up8+umnGDFiBLy9va3abmmU/JvaXNYeKUQkNyY6KpGsrCx07twZV65cQdeuXdG8efMyh9R+/vnnVj2Hixcv4vvvv8eJEyeQnZ0Nd3d3tGjRAgMGDLD6Qm5Dhgwp9wNSamqq1eLL2Vel4trZ2RndL4Qw+i0ua33js8Tj/hqrVCq89957ePvtt0utV1BQgGrVquGFF15AfHy8xXGVuFfY2dmhefPmGDNmDMaMGWPWUHVrUepeYUv3qMrw/iMXW7ieHuYPwYr81pZc17Kp1zgtLQ01atRA+/btDcqs8bO1pd+f+yn1Hi8npd8HAOV/f0pj7b7KRclnmhIlP9fjx4/rkjpPPPEE+vfvb9Wf67///osaNWoAuPdB87Vr18r8cL9hw4ZWi1+iMt4v7n9tHlVK/d6+8sorRuNevHgRGzduxPjx43UfzpZ8U9/SvzErwz1K7uu4rERHRcnMzMTHH3+MTZs24eLFi7r99evXR0hICN58802r3jefeuopaLVabNq0CSqVCoMGDYKHhwd+/PFHAMD48eNx7tw5pKWlWS0mcO+9QJIkBAYGIjw8HM899xzc3NysGsNYTKXff8rCRAc98ixd5IOsZ+LEiaJq1ari119/lT12bm6umDx5srC3txeSJBksAlWlShUxderUClkESm5K9VWJuDdu3DDYNmzYICRJEidPntTbv3TpUqstZmYrr7FKpRLz5s0zq26nTp1Ehw4drBJXiXtFTEyMaN++vW7h4h49eoi4uDi9xQbJOpT4/VHimrpy5YqYPn26aN68uXByctJbyNnYRuZzd3cXbm5uZm1VqlSpsNe3MjxbTJ06VRfr22+/rZAYSvz+lNyLy7NZixI/18aNG4tGjRqZvTVs2NBqsZVSGX5/5HL8+HHxxhtviKFDh4qgoCARGBiotwUEBFg1npLPNHfu3BETJkww+XO1t7cXEydOFHfv3rVazOPHj4vQ0FBRtWpVWe8VQsh7HSt5X6R7jC3Abu0Fs5Wg1P245PW8fPmyVdstj5ycHPH333+L27dvV1gMFxcXERcXp/v30qVLRdWqVXX//uyzz4Snp6fV4+7YsUO89tprwtfXV6hUKuHs7CyGDRsmNm7cKIqKiqweT4hH42/qx+F3lmxb+ea0oQr1/fffY9KkSXjqqadkjSuEQGhoKLZv364bGt66dWvdEMWjR49i9erVWLx4Mc6cOYPNmzdDpVLJeo7WolRflYprbBGxkm8peHh46JUbm/fzYdjaa7xp0yZcvny5zHo5OTk4c+aMxfEAZe4V0dHRiI6Oxj///IOFCxdi0aJF+OWXXzB9+nQ8/fTTGDNmDIYMGSL70NrHjVLXsdzX1IPfgO/Vq1eFLwpqS27fvl1q+d27d5GSkoI1a9YgLS0N7u7uVj8HpZ8tiouLMXbsWCQnJyMiIgIXL17EyJEjsXr1agwfPtxqcQBl7skvvfSSwTdbjX2TFvj/36a1BqV+rq1btzbrm7z5+fn4+eefkZeXZ3FMJSn9+7Nv3z589913Bt9aHjx4MLp06WK1OACQlJSEiIgIODg4oEWLFqhevbrBqGNrryWh1DNNcXExBgwYgJ9++gl9+/ZFRESE3rQwR44cwapVq7Bs2TL89ddf+PHHH8s9Be2DTp48iW7dugEAhg4dataIM2uR+zpW6r64c+dObNy4EbNnz9aNEMnPz8f//vc/3Lp1C8HBwVZbx4Dkp+T92NnZGY0aNTI5S0NFOXv2LBYsWIBNmzbh0qVLuv316tXDwIED8dZbb1l1JEKdOnWQk5Oj+7ePjw9yc3N17z/29vZlPts+jMDAQAQGBuLjjz/Gl19+iaioKPz666/49ttv4eHhgbCwMIwZMwY9e/a0Wkyl3n8yMjLMrpuZmWnV2ESyUyK7QsY5ODiIpUuXyh7366+/FiqVSixatKjUep9//rmQJEl8/fXXVomrxLdulOqrUnGN2b17t5AkSZw7d05v/5IlS4SLi4vF7dvSa/zgt3nM2axBqXtFiW+//VZIkiR++eUXsXjxYtGrVy9hZ2cn3N3dxbhx48T27duFRqOxWjylvqFnS/coua8pJUcw2tL1dL+CggKxfv16MWzYMOHs7CycnJzE0KFDxdq1a0V+fr5VYwmh7Ptebm6uGDBggJAkSUybNk0IIUReXp7o27evsLe3F0lJSVaLJYTy9+QSxr5JK4R1v5lXmZ5nSmg0GrF9+3bxwgsviOrVqwt7e3sRHBxslbaV+r1V6nW+du2a6N+/v9FvLJe8FiEhIQbXmCV8fX1F+/btrdpmecj5TPPZZ58JlUolFi9eXGq9+Ph4oVKpxGeffWZxzFGjRolatWqJ8+fPW9xWeVWG+4Uc98XQ0FDRvn17vX29evXS/d44OjqKbdu2WSXWg5R+tnhQRY7osLX7sVJSU1OFq6urUKlUws/PT4SGhoqxY8eK0NBQ3cgHNzc3sWnTJqvF/Pjjj4Wvr6+4deuWEMLwOnrmmWfEE088YbV4xpS8F5w+fVocP35czJ49W/j5+QmVSiUaN24s3n77bXH8+PEKiSnH+095fn9K6hI9qrhGRyVSu3ZtTJ06FTExMbLGDQwMhEqlQnp6epl1g4KCAAA7duywOK6dnR2Cg4PRrFmzMutaa25PpfqqVFxjMjMz4evri8WLF2PixIm6/WFhYTh+/Dj++OMPi9q3pdfYzs4Oc+fOLXONDmtT6l5RIiUlBWFhYTh16hSaNm0KALh06RKSk5ORlJSEjIwM1KlTR+8bQJZQ4l6hVFylfn/kvqYaNGiAYcOGITY2VpZ491PqelJiPmshBHbs2IE1a9Zg/fr1yMnJQWBgIEaPHo2hQ4dWyEiOEkpdy9nZ2QgJCcHPP/+MmJgYvQW4CwoKMHjwYKSnp2P58uUYM2aMxfEA5e/JJX744QcMGDAAV69eRa1atXT71Wo1IiIirHIdV6bnmQMHDmDNmjX45ptvcPnyZXTp0gWjR4/GiBEj4OnpaZUYSt0vlHidCwoK0L17d/z+++948cUXTX5redmyZWjbti1+/vlnqyxs7ezsjNjYWEyZMsXith6GnM80nTt3hre3NzZs2FBm3SFDhiArKwsHDhywKGbdunXxwgsv4P3337eonYdRGe4XO3bsQJ8+fYzeF8eOHQuNRmNxDB8fHzz//POYO3euLmbfvn3x5ZdfIjQ0FP3790eVKlWwZ88ei2M9SKl7lCnp6ekIDg7G1atXUbNmTQDWm+/flu7HAHD48GF89tln8PHxwRtvvFHha0cAwJkzZ9CmTRs0adIEy5YtMzqCb//+/Rg/fjwyMzNx9OhRNGnSxOK4y5cvx+eff44rV64gMjIS+fn5+PTTT/H+++9j9+7d2Lp1K+Lj4xEVFWVxLFOMvRcA90ZCJCcnY82aNcjKyrLq74+c7z8rV640u+4vv/yCJUuWcI0OenQpm2eh+w0ZMkQ0atRI/Pvvv7LGrVGjhoiNjTWrbmxsrPDw8LBKXJVKJVavXm1WXWt9E0SpvioV15Q2bdoIJycnMX36dBEXFyeee+45IUmSeOeddyxu25Ze4/Ks0WFNSt0rStz/jZf7Xb58WSxatEg0adLEqt8CUeJeoVRcpX5/5L6mlPwGvFLXkykV+e3H999/X0iSJNq3by8+++wzceXKFYvbNJcS1/KVK1dEu3btSv3mZX5+vnj66aeFnZ2dWLlypcUxhVD+nlxi7ty5QpIkcejQIb3977//vnB3d7dKDKWfZ/7++2/x7rvv6r5V2qpVK/H++++Ls2fPWjVOCaXuF0q8zp988omws7MTGzZsKLXe+vXrhUqlEp988onFMYUQon379mL27NlWaethyPlM4+bmVuZojhLx8fHCzc3N4phKvt8qfb8QQoiDBw8KSZLE/v379fa/9957wtvb2yoxnJycxLJly3T/fu2110Tt2rWFVqsVQgixaNEiUb16davEelBle6a5fPmyWLFihSgoKNDtS0lJEXXr1rW4bVu6HwshxMaNG4VKpRI1a9YUderUkWWkyKRJk4SHh0eZz4tXrlwRHh4eYuLEiVaJW9psCL6+viI+Pt4qcUpj7L0gLy9PfPPNN+K5554Tzs7OwtnZucJjClFxf1Obi2t00KOOa3RUIu+88w569eqFp556CqNHj0aLFi3g4uJS6jHPPfecxXFzc3N184mWxcPDA3fv3rU4JgCoVCqz5lsG7n0r1RpzUyrVV6XimrJixQqEhITgs88+0+3r3r073nzzTYvbtqXXOCAgAA0bNrS4nfJS6l7xICEE/v33X3z77bdITk7Gzp074eLigmeffRbx8fFWi6PEvUKpuEr9/sh9Tbm7u+Off/556OMtodT1pISaNWvCzs4OZ8+exeHDh/HEE0+gT58+Vp/v3hglruVevXohMzMTK1euNDlaw9HREampqXj22Wfx/PPPIyIiwuK4St+TNRoNlixZgg8++AAODg545513kJycjGrVquHEiRNYvHix1dYPUfp5Zvny5Zg3bx4CAwPx7bffok2bNlZt/0FK3S+UeJ3/97//YeDAgRgyZEip9Z599lkMHDgQ//vf/zB9+nSL486fPx/h4eEYOnQo2rZta3F7D0uOZxpzryWgfNdeaTw8PBSbb13p+wUAPPnkk3B2dsasWbOwdu1a1KhRA8eOHUN8fDxat25tlRi1atXClStXdP/+4Ycf9N5rHR0dUVxcbJVYD6pszzReXl4YO3as3r7Q0FCEhoZa3LYt3Y9LCCHw008/4ZtvvsF//vMfJCQkYNGiRejcubPVYtxv+/btGDt2bJmjIj09PTF27FikpqZaJa6xe5RKpUK1atVkGclyv8LCQmzevBlJSUlITU1FXl4e/P398cUXXyAsLKxCYsr1NzWRrWCioxLp2LEjtm7dildffRUfffRRmfWFEFYZTubt7Y3z58+bVffcuXOoW7euxTGBex90ZWdnm1X39u3bVpliQ6m+KhXXlHbt2uHMmTPYs2cPbty4gcaNG1ttcUlbeo3NGcJcEZS6V5TQarWQJAkvvPAC9u/fDwDo168fVq9ejSFDhlh9kUsl7hVKxVXq90fua6pHjx5YsWIFpk2bhurVqz90Ow9DqetJCZMmTUJoaKhuyP3TTz8NLy8vjBgxAqNHj0anTp0qLLYS1/LFixfx7bffYtCgQThx4gTmz5+Pzz77zOBn6ODggA0bNuDZZ5+1OCag3D05Pz8fy5cvR2xsLM6cOYP//Oc/cHFxwYIFC1CrVi3UqFED169fhyRJWLJkicXxAOWfZ7p06YInn3wSu3btQmhoKEaNGoUxY8agZcuWVo1TQqn7hRKv8/Hjx82ezq1v37549913LY4J3JtCqE6dOujQoQN69OiBhg0bGnxAKYTA8uXLrRLvQXI+07Ro0QI//PCDWdOv/PDDD1a5rvv06aNbZLdBgwYWt1ceSt8vgHtTo02dOhWxsbHw9PTUuy8mJSVZJUZgYCAWL16Mdu3a4ciRI/jzzz8RHR2tKz99+jTq1atnlVgPsqVnGlu6H9/P2dkZs2fPxosvvoi33noL3bt3x9ixY/HRRx9ZbZrGEpcuXUKrVq3MqtuqVSskJCRYJa7c96YHFRYW4q+//oIkSejUqRPy8vLQtm1bREdHY9SoUfD29q6QuHL/TV2ioKAAly9fho+PD1QqVYXEIFISEx2VjL+/Pw4dOoSrV6/i77//Rn5+vlW+zVOaPn36YO3atZg9e3ap3/IUQuCbb77RzT1pqcaNG+PIkSNm1T1y5AgaN25scUyl+qpU3NI4OTkhODjY6u3yNZaH3PeK8+fP47vvvkNqaip27doF4N7D2X//+18MHz5cNw9vRVDiXqFUXCWvYzmvKSW/Aa/U9VSaihxh4enpiZdffhkvv/wyMjMzsWbNGqxZswaff/45fH19MXr0aIwZMwa+vr5WjavEtfz999/D398fwL0/1lesWIGPPvrI6IcdJckOa5H7njx37lx88cUXuHHjBlq2bImUlBRd4sbT0xNr167Fv//+i86dO+OVV16x2vu90u+1Tz/9NJ5++mn8/vvvSEpKwurVq/HBBx+gXbt2GDVqFEaPHm3VDxSVul8o8ToXFhaiatWqZtV1dXVFQUGBxTEBYPfu3RBCoEGDBrhw4QIuXLhgUMfav0tKPdOMGzcOL7/8MhISEkpNdixevBgbN27UG3n9sGbPno0tW7agdevWGDhwYJnvt0IIvP766xbHBZS/X5RYsGAB6tWrh2+++QY3btxAhw4dMG3aNAQEBFil/ZiYGPTp0wcDBw6EJEno06eP3je/Dxw4UCEjqwHl7lFz5swp9zH3J38ehi3dj43x9vbGqlWr8J///AfTpk1D8+bN8e677+Lll1+Gvb11PtZzdHREYWGhWXULCwvh4OBglbhKWblyJb777jts3boVd+/eRcOGDXXPxRX1BQol/6Yu8fPPP6Nv377IysqCl5eXQXnTpk0RGRlZ4edBVGEqaEoseoT8/vvvwt7evsy5J2NjY4WdnZ3B3M8P69VXXxU1atQQN27cKLXezZs3RY0aNcQrr7xicUyl+qpU3OXLl5d7s5Qtvcbnzp0r9/aoUqlUQpIk8cQTT4j3339fZGZmyhZbiXuFUnGV+v1Rwq5du0SHDh1KnZe3ZLPmPLFKXU+mVMR81ubci9avXy+GDRsmnJ2dK2QeXqWv5ZK1Ty5fvmzVdisLlUolunfvLjZu3ChrXKV/rsbs2bNHTJ48WdSuXVvY2dmJwMBAq61JoNT9QonXuXnz5mLGjBlm1X3rrbdEs2bNLI6pFKWeaYqLi0Xv3r2FJEmid+/eYvny5eK3334Tp0+fFr/99ptYvny5rjwoKEgUFRVZJe6JEyfEc889J1xdXWV9v62M94uKkp2dLbZs2SLS0tJ0a3PIQal7lDnPbvdfU9a4rmzlflzynPbll18KSZLEnj17DJ7hMjMzxbx584Srq6to2bKlRfHu16tXLxEeHm5W3dGjR4sePXpYJW7jxo1Fo0aNSt0aNmxolVj3U6lUonbt2mLKlCni559/tnr7pmIq9Td1ibS0NKFSqR7bZ2QiSYgKHi5Aj4SsrCwIIUodlnfp0iUAsNrQvRMnTqBt27bo2LEjkpKSjA5ZvHDhAkaOHImDBw/iyJEjVsmsK9FXpeLa2dlBCGH2t4WFlabTsJXXuOT1LQ9rTiElp9dffx3h4eFo166d7LGVulfY2j1KKeZ+A77km/qWUurnKidz700l7w3Wuvc/SMlrOT09vdRvqz3qdu/ebbXfifJS4ue6YsWKMusUFxdj69at2Lx5M/Ly8qxyTSt5v5D7dZ4+fTo2bNiAv/76q9Rv6RYVFcHPzw+DBg3CokWLLI6rBCWfafLy8vD6669j2bJlKCoq0iuTJAn29vZ48cUX8fHHH1t92hIhBK5fv17m+601p5GR8zretWsXGjduXOb537hxA5cvX0aTJk0qbGoYuSh1j7p582ap5UII7N69G2vWrMGWLVuQn58PjUZjUUxbuR/f/wwnSVKpv6sl5dZ6hlu8eDGmT5+OP/74A02bNjVZ7+zZs3jiiSewYMECvPzyyxbHHTJkiEE/NRoNzp8/jz///BPNmjWDn5+f1dYEKbFp0yb0799f1vX4lHz/KfG4PyMTMdFRiTz//PPlPiYxMbECzgTIyclBdnY23N3dK3QBqEWLFmH69OlQqVTw9/dH69at4erqijt37uDYsWPYtWsXNBoNPv74Y6ssePj/2LvvqCiS7m/g35khR0EMoKgoqJhzQAwoimsOmADFsCrmsIoB17hm0TUr6mICFCNB14Ri1kUwPSYMoCgKiAkkCd73D1/mJ4KC0jNNuJ9z5uxaXfStnumprunqqsqJso5VjLgymQwuLi4YNmxYnv+mQYMGgpejqL7Hq1atyvVmYkZGBvbs2YMbN24I1hAtSHWFsohVVxSXOqq4nVMF4XNVpLzUTd+aPHmygkrzf5R5Lbh+/Tr++OMPHDhwIM+LiP4qsb8/ly9fhoODA0JCQmBkZCTYfvNKWe0ZMR7cAApOfaHo9zkiIgI1atTA2LFjsXz58u/mc3V1xZo1a3D79m1YWFgIFv/UqVMYPnw4TE1NsWzZMjRr1kywfRdE0dHROHbsGO7evYuEhATo6enB0tISHTt2LBIPMXyPIs9jmUwGXV1d+Pv7/7Aj+N69e6hVqxbWrFmDMWPGCFoGMRSUOgoAbty4AW9vb+zZswfPnz9H/fr1MWDAAAwYMECQaQULyrEq8jxeuXIlAODOnTvw9PSEm5tbru0Yodpwnz59wvjx42FpafnDDoy1a9fizp07+Pvvv6GhoSFI7O+5dOkS7O3tsW/fPrRo0UJhca5cuYKAgADcv39f/tlaWlqiW7duClv8XSynT59G+/btER0dzR0drEjijo4CRF9fP883JlJSUpCeni7oE5hPnjzBsmXLEBgYKH8iAQDKlSuHLl26YNq0aahUqZJg8TKdPHkSCxcuxKVLl7I86SGVStGsWTO4ubmhY8eOgsYU61iVHVcmk2H+/Plwc3MTbJ95VVze4+/5/PkzvL298ddff+Hhw4eoU6cOZs+ejZ49e+Z732LUFT87Fy8RYe7cufmK+S0x6gqx4ir7PBb7+iMGZX+uYsxnXRAUlDpZkcT+/ojxZJ6yP9ewsLCf/hshH9wQ6/pTHL4/mfz9/dGzZ0+0atUK58+fh6OjI5YuXYqyZcsKHqsgtGmU5f3793j37h3Kli0LdXV1UcqgrPNYJpNBU1MTnz9/ho+PD7p37/7dvHZ2dgCA48eP5ztuQSBWHQV8+Xwz1/+6f/8+LCws5GsmVa1aVfB4xaU+DggIQI8ePfDkyRNUrFhRsP0WRn/++SdOnDghX7BbSK9fv8agQYNw7NixHB+mICJ06tQJO3bsEGT9jILwe+D9+/e4efMmmjdvDlVVVUH3zVhBwB0dhcjHjx9x8OBBeHt7IygoCFpaWnj37p0g+w4ICICDgwOSkpJQpUoV1KpVC7q6ukhISMDt27fx5MkTaGtrw8fHB507dxYk5rc+fvyIiIgIJCQkQFdXF5UqVYKOjo7gccQ6VjHiitXRUZze4299/vwZXl5e8g6OevXqYfbs2fJFYpVBEXWFmE/TfktZdYVYcQvCefwtoc8psZ+A/5qyPtefGRaf2TRTRmeSv78/JkyYgIiICMH3rexzuSD8eMyJIttvgPI7OgpiHaUsyrz+FLf32d/fHz169EBERASePn2KiRMn4vHjx5g1axYmTZok2GK7QMFq0yias7MzAgIC8OzZs2znqpubW5YbtpmEvN4q8zyWyWRYt24dDh48iODgYGzZsuW7C+q6u7vD3d09x+MvzJTdRl67di0mTJgAY2Nj9O/fHw4ODmjYsKHC4n2tqNfHCQkJiIiIgKWlZbG/Gb1x40ZMnjwZycnJgu43NTUVVlZWuHXrFn7//Xc4OTmhdu3aWT7b3bt3Y+vWrahbty4uXryY7w7jgvp7gLEiRehFP5iwUlNTsywYqqGhQb169aJ9+/ZRSkqKIDEePXpEWlpaVKtWLbpy5UqOea5cuUI1a9YkLS0tevz4sSBxu3XrRnv27KHk5GRB9pcXYh2rWHGlUin99ddfguwrr4rbe5wpIyODduzYQRYWFiSRSKh+/fp06NAhQWP8iKLrCqlUSjNnzqT4+Pg8v4QiRl0hVlyxz+OvKfKc0tPTI11d3Ty9VFVVBV0cVazzKbfvy+vXr+ngwYNkb29PWlpaJJVKlVIuLy8vhSxGLsa5nLnA4/cWQ1XkorvfUkb7LZMyF5UsKHVUUlIS3bp1iy5cuEC3bt2ipKQkhcQRq74Q432eO3fuT7+E5OfnRxKJhCIjI+VpW7dupbJly1L16tXp2LFjgsUSq02T22K7ilh8t2rVqjR69Ogct82YMYNkMpn8equpqSlovajs81gqldLu3bspLS2N+vbtS1KplJYtW5ZjXg8PD9LV1c1XvIJArDoq09KlS0kqlVK1atVo3rx59OjRI4XFKk71sZhiYmJo0qRJVK1aNdLQ0JAvJv+9l6LFxcVRo0aNqHLlyoLve+XKlSSTyejw4cM/zHfo0CGSSqW0cuXKfMcU6/fA2rVrqW3bthQXF5dt26VLlyg4ODjbi7HCijs6CqDPnz9TUFAQDRs2jAwNDUlVVZXat29Pnp6e9P79e8HjjRw5kgwNDSkmJuaH+WJiYsjQ0JBGjBghSFxtbW2SSCSkp6dHzs7OdPLkScrIyBBk398j1rGKFVeMjo7i9h6np6fLOzikUik1aNAg18aSUJRZV4hxLmUSo64QK65Y53EmZV9/vicxMZF27txJHTt2JFVVVdLX1xds32KdT99z/fp1mjp1KpmampJEIqEGDRrQ8uXL6fnz50qJr6iODjHOZalUSps2bcr2o/Hw4cMkkUgoPDxcnubh4SH4cYv1/YmIiKB58+ZRYmKiwmJkEruOunTpEtnZ2ck7QDNfampq1LFjR7p8+bKg8cSqL8T6/nzvpYyOwpw6OoiIEhISaPr06aShoUFdu3YVrFNUjDaNVColS0tL6tq1a55f+aWjo0Nr1qzJcdu+fftIW1tbfk57e3sL+rkq+zzO7OjINGbMGJJIJDR8+HBKS0vLkrd3795Uv379fMUrCApCmyYkJIQmTZpEJiYmJJFIqEmTJvT3338L3vlenOrjvLp9+7agnc7R0dFUvnx5UlVVpZYtW9Lvv/9O48aN++FLCG3atMnxVbduXdLQ0CCZTEY7d+4UJNbXmjZtSt27d89T3m7dulHTpk0FL0MmRf8eaNasGXXu3DnHbX369BGlE4sxReGOjgJo4cKF8spt9erVuV5U86ty5co0ceLEPOWdOHGiYL3pycnJFBAQQMOHD6eyZcuSRCIhExMTmjRpEl27dk2QGN8S61jFiivGD7ni9B5v376dzM3N5d9XPz+/fO/zZyizrhCzo0OMukKsuGJ9fzIp+/rzNWU9AS/W+fS1x48f04IFC8jS0pIkEglVrVqV5syZQw8ePFBK/K8pqqNDjHP525tcmYKCgkgikdDr16/laYo4bjG/P8oiZh21efNmUlFRITU1NbK1taVJkybR7NmzadKkSWRra0tqamqkoqJCW7ZsESymWPWFGO/z954uVXRH4fbt22n79u00fvx4kkgktHz5cnna16/Zs2eTrq4uqaur5zummB0dyo6rqan53Y6OvXv3kkQioQ8fPhCR8PWiss/jnK4BixYtIqlUSjVq1CAPDw8KCAigoUOHkkQioY0bN+YrXqaIiAgKDg6Wv4/KVBDaNF87ffo0/f7772RgYEAqKirUoUMH2r59uyDvTXGqj/NK6O/siBEjSFtbm8LCwgTbZ160bduWbGxssrzatm1LvXv3pqlTp9Ldu3cVEldPT++79eO31qxZI+iDV0TK/T1gZGRECxcuzHGbp6cn6enp0YEDB+jAgQM0adIk7uhghZpwk50ywZQsWRIymQxPnjzBjRs3UKNGDbRr1y7P88j+rOjoaNSqVStPeWvVqoVNmzYJEldDQwNdunRBly5dcOjQIdjb26NNmzbYs2cP/v77b1SvXh0ODg5wdHSEmZmZIDHFOlax4kZFRUFfXx/Al0Wnbty4ASsrK4XO81mc3uOhQ4eCiFCvXj107doV169fx/Xr17+bnwRezFLZdYVYxKgrxIor1vcnk7LPKSLCmTNn4O3tjUOHDiEhIQFt2rTBhg0b0KtXL+jp6QkeU6zzKdO381nv2rVL8Pms3d3d85z3VxZ5zguxzmXKYek5ymGO48+fPwt+XhfUOjkyMhJnz56Fs7Nzvvcl1ud648YNjBkzBi1btsSuXbtQrly5bHlevHgBR0dHjBo1Co0aNUK9evXyHVes+kKM99nQ0DDHdF1dXfn2zDza2tr5jpcpsy0lkUggkUgwbdq0H+bP6TvOvs/c3BzHjh3DuHHjsm07duwYDAwM5J+x0MRu0wDAjBkz0KBBA4wdOxYuLi7ydGdnZ4wYMUKQGNOnT8e5c+cQGRmZbdvw4cPx6NGjLGlEhODgYEFii92m+ZaNjQ1sbGywYcMGHDlyBN7e3hg1ahRcXFzyvb5CcamPHRwc4ODggI4dOwq6NlFe/Pvvvxg5ciTq16+v1LhBQUFKjZcpLS0tz9czHR0dpKamChZbGb8HvvbhwweULl06x21GRkZISEhAhw4doKOjg5SUFIWVgzFl4I6OAmjkyJHo2bMn9uzZA29vb9jZ2aFMmTLo168fHBwc0LhxY0HjqaurIy0tLU9509LSoKamJmh84EuDj4gwf/58VK5cGcHBwfJGy+zZs2FlZQUHBweMHj06X3HEOlax4pqYmMj/PzQ0VCmLlRan9zjz5tXNmzdx8+bNXPML3dGh7LqiIFBWXSFWXLHrY2WfU4sXL8asWbNQv359zJkzB/379/9uI1wRxDifkpOTIZFIoKurC319fZQoUUKwfWdydXUVfJ8/S4xzWVtbGy9evMiWnpn2/PlzlCpVCsCXBwGEvhYW1Dr50qVLGDJkiCAdHWLVUe7u7ihbtiwCAgK+e1OiXLlyOHr0KKpVq4YVK1Zg9+7dgsTOpMz6QuxrgTKFhIQAAM6dO4fJkyfD398/S/uV5Y+TkxOmT58OV1dXzJ49W34Ta9WqVdi+fbvg7aWvKfs8njNnDurUqZMt3c7ODg8ePEBISAhev34NS0tLVK5cOV+xvhYSEoIBAwbkWP4KFSpg165dqFq1KoAvD55FRUUJFvtryqyjZDJZnjsdJRKJ4B2URbk+PnToEPbs2YOSJUvC3t4ejo6OsLa2ztc+8yomJgbVq1dXSqyCoGLFinj48GGe8j548AAVKlQQLLYyfg98rVSpUrhz506O2+7evQuZTAZNTU2FloExpVHa2BH2y548eUJ//fUX1ahRg6RSKVWtWpXmzp1LDx8+FGT/LVu2JCcnpzzldXBwoBYtWggS92sHDhwgiUSSbQGzT58+0eHDh6ly5cqCDJ8T61gLwnusrMVKi9N7/DOLWAq9QHdOFFlXqKmp0aJFiwQoZf4oq64QK25BqCu+pujrz6ZNm0hFRYVKlChBQ4YMoZMnT9Lnz58F2XdeiHU+KXo+66dPn+b5tWbNGoUcoxjncosWLahq1apZ6trExERq1qwZGRoaUs+ePen169d0584dqlSpEnXp0iXfMX9Ekd+fGTNm0O3bt/OUV8ipLcSqo8qXL08zZszIU94ZM2aQqampIHG/psz6oiBdC5Q19dvRo0fJwMCAnj17Juh+cyJWm0aMqavS09Opc+fO8rVVSpcuTTKZjKRSKbVs2TLL2j6BgYFkaWkpWOyCdB4rkpaWFm3YsCHHbYcOHSJ1dXVKT08nIuHXQfmaMuuo8ePH57p2gyLWcshUlOvjt2/f0pYtW6hNmzYkk8lIIpFQpUqVaMaMGXTnzp0seYWui42MjGjOnDmC7a+gmzhxIlWqVIlSU1N/mC8tLY0qVqxIY8eOFTS+sta3ISJydnYmbW1tunHjRpb0R48eUalSpcjGxkaepqhpbRlTFu7oKEAiIyNzfX09f7lQlc+GDRtIXV09W0PhW48fPyZ1dXVavXq1IHG/llNj5fz58zR69GgqXbo0SaVSatasWb7jiHWsBeE9zvyhquiOjuL8Hv9ITEwMBQcHC7IvseqKTK9evaLt27dTcnKyoPvNC2XVFWLFFes8FvOciomJodWrV1PTpk1JKpWSsbExTZw4kf777z/BYnyPWOfT1xQ5n3VeKOrHjBjn8oEDB0gqlZKhoSF16dKFevToQcbGxqSjo0MnTpwgLS0t+QKL6urqdOXKlXzHJBLn+5O5GHTdunVpyZIlP7w5LORnLFYdpa6uTv/880+e8v7zzz+CrOPwLWXWFwWpTXPp0iUyMzOjt2/fytO8vLxIKpUqLKYyKbNNI+Z6Z35+fuTi4kK9e/em4cOH0969exW+kHNBOo8VSUdHh9zd3XPctnv3bpJIJPIOJUXeQCwIbRplKS71cVRUFC1btozq1KmT5bq/dOlSioqKEvx86t69O1WqVClLfV+UPXnyhDQ0NGjKlCk/zDd16lRSV1en8PBwhZVF0b8HHj9+TIaGhqSmpka9e/cmV1dXGjBgAGlpaZGWllaWdW6K0jWeFU/c0VGAZF68cntlPpEj1EUtLS2NXFxccr0or1mzhkaOHKmQHwKZjRVfX1+aMmUKmZqaklQqpWrVqtH8+fPp8ePHgsQR61gLwnusrBEdxfk9/hEhG6Ji1RWZlNVplhNl1RVixRXrPBb7nMqk6BEk3xLrfMpJWlpatsXYlUFRN13EOpe3bNlC5cqVk5+rjRo1osuXLxMR0d27d2nu3Lk0a9YsunnzpiDxiMT5/vzvf/8jNzc3qlSpkny/rVq1os2bN9ObN2+y5BXyMxbrcy1ZsmSebx6tXr2aDA0NBYn7NWXWFwW9TfPo0SPavHmzoPuMioqi7du3U1BQkKD7zY0y2zTDhw+nI0eOKDxOQaHs83jw4MG0atWqXPOFhYXRlClT6P79+/mKl6lx48bffYq/R48eVLZsWfm/ldHRURDaNIpWHOvj27dv04wZM6hixYry636FChUEPZ9CQkJIQ0ODKlWqRDNnzqSdO3fS/v37f/hiwlLk74H79+9Tz549SUtLi6RSKWloaNBvv/2WbZRHfHw8Xb16VbC4jCmbhIhXdCsoVq1a9dPzV06ePFlBpVEOIsKVK1ewbt067NmzB0SEsmXLon///nB0dFTogkzFTVpaGl69eoXy5ctDKpWKXZxix9vbG05OTlkWw/1VYtcVp0+fVsp6L18Tq64oLnWUss+pp0+f5prn+vXr8Pb2RmBgIFJSUgT57mQS43P9lfmshTjmmJgYHDt2DP369YOGhka27d7e3hg4cCAyMjLyHasgiYuLg46OjlLmGxa7Tr506RK8vLzg6+uLN2/eQFVVFXZ2dnB0dES3bt1w8OBBwa4/YslcIPPgwYO55u3evTuSkpJw8uRJQWIXl+uA2Pz9/dGzZ08QEezs7LB69Wr5ugaKJEab5s2bN9i8eTMCAwNx7949JCQkQFdXFzVq1ECXLl3g4uKi8Pnai6LM6+yoUaOwbt06+Vp630pKSoKpqSmGDRuGZcuW5Tvu1q1bMXLkSPTp0wezZs1ClSpVEBUVBXd3d2zZsgWzZs3C/PnzAQj7eyCT2HWUMr9DYh9rQXHhwgV4eXlh3759ePPmjaDnU+Z6SdevX881r1Bt1YIiOTkZjx49wocPH6Cnpwdzc3PB25Fi/R74VmJiIrS1tb9bTzJWmPFi5AXIpEmTxC6CUg0dOhRHjhxBXFwc9PT0MGjQIDg6OqJdu3bFusJNSkpCXFwcKlasKOh+1dTUBF1Ai4mH6wrl1BVixD179izMzMxy/a7Gx8fj1atXqFy5siANcGWfU5UrV85TI18R77NY59PYsWMFX4wzL+7cuYMhQ4agY8eOOXZ0WFlZwdPTU/C48fHxeP78OSwsLKClpSX4/nOTuei4MohdJ1tZWcHKygpr1qzBsWPH4OXlBX9/fwQEBEBXVxcWFhailk8Izs7OcHZ2Rmho6A9vZIWFheHIkSPYunWrIHG5rZqz2NhY3Lt3D61btxZ0v0SEQ4cOYc2aNahduzbGjx+POXPmQEdHR9A4Yrpw4QLs7e0RFxcHDQ0NVKtWDbq6ukhISMD169dx+fJlrF69Gvv370eLFi0EixsTEwM/Pz+EhoYiOjoaycnJ0NHRgYWFBdq1awc7O7sicU5bWVlh06ZNiI+Px65du6Cqqpotj5aWFnr37i1YZ+jvv/+OsLAwbN68Gb6+vvJ0iUSCfv36Yfbs2fI0ExMTdOzYUZC4QMGpo5QRq6Aca0FgbW0Na2trrF27FiEhIYLuu1WrVrh27RpiY2Px9OlTpKSkiNJ+VabLly9j3rx5OH36NNLT0+XpqqqqaNu2LebMmYNmzZoJEkus3wPfKkrXVcayUfygEfYrUlJSKDIyUuFzpxIRbd++nW7dupVrvpcvX9LgwYPpxIkTgsRVV1en7t27k6+vL6WkpAiyz9yIdaw/Q4zFnxITEyk4OJhevnyZ732J9R4X9M9WUZ+rMuuKTMqaBi2TGHWFWHGlUinp6+vT2bNnf5jv7t27JJVKad26dYKXQRnn1MqVK8nd3f2nXkIR63wSi1hTzbm4uJCRkRElJSXlmrd3796CLAycl7Uyvn0JTYw6OSeJiYm0a9cu6tixI6mqqgp2/RHzWrtkyRLasWPHD/Ps2LGDFi9eLNj7L1Z9URzbNH5+fiSRSOTfy0OHDlGVKlXI2Ng41889P5TZpnn69Cnp6+uTiYkJeXl5UVpaWpbtaWlp5OXlRcbGxqSnpyfYwuwLFiwgDQ2NbFPoZf5bIpFQrVq16Pr164LEy6Ts81gqldLu3btp69atpKqqSh06dKCPHz/mmHfLli2kq6ubr3jfun79Oi1ZsoT++OMPWrhwoVKmfikIbRpltTO4PmaKsHnzZlJRUSE1NTWytbWlSZMm0ezZs2nSpElka2tLampqpKKiQlu2bBG7qIK4ePEitWnThgYOHEgRERFiF4cxheCOjgJKmTcm8rowXnp6OmlpadHQoUMFifv1HNJv376l4ODgbA1+oYl1rMePH8/zj24hfzxKJBJasGBBrvnevn1LUqmUpk2blu+YYr3HYsStVatWnl+mpqYK6egQc70MZRGjrhArrlQqJW1tbdLU1KTDhw//MG+HDh2oQ4cOgpehqJ9TYp1PYhHr86xRowaNGTMmW3paWlq2sowaNUqQRUPzulbG1y+hFcTvT0xMDHl7ewuyL7Gu8WIRq74Q433OaX2X71FGRwfRl/pi2bJlpK+vT1ZWVhQSEiJoTGUbOXIklShRgp48efLDfBEREVSiRAkaOXJkvmOuX79evoaPp6cnnThxgnbt2kWdO3cmIyMjOn36NB0/fpysrKyoRIkSgq5toOzzOLOjg4jo8OHDpKmpSY0bN6bY2NhseVesWEHGxsb5ilcQFIQ2jbI6C4tTfcyU4/r166SiokI2Njb0/PnzHPM8f/6cWrduTSoqKoJ0Bq9cuZJevHiR7/38Kj8/P/k6iFpaWjR79mylr/PFmKLx1FUFWEEbgimTydCgQQP8999/guzPwMBA/v9hYWFKnx/3R4Q+1t9++w2lS5dG37594eDggKZNmwqy39xIJJI8nUclSpSAhYWFYMebF0K/x2LELV26dJ6Hnipy/tKCVlcITay6Qqy4y5cvx8GDB2Fvb48tW7Zg8ODBOebr0KED3N3dFVIGZZ5TqampePXqFUxNTZWyflBBuPYoe054MeqIqKgoVK9ePVv6+fPnYWtri7i4OJQsWRIAUL16dezfvz/fMVesWJGtTn748CE8PDwwb968LFNohYWFwdvbO98xc1LQ6uTSpUtjwIABSo2pyGv85cuX4eDggJCQEBgZGQm+/68VhPriR4R8n0eNGoVx48ahY8eOcHBwQPfu3XOc7k7Rvv4Oq6qqYurUqXB2doabmxusrKzg7OyMLVu2KL1cQjh+/Dh+//13mJmZ/TBfpUqVMHz4cOzbty/fMdeuXQtbW1scP348S7qTkxMGDRqEqVOn4tq1a2jTpg0aNmyIWbNmKaxu/B5F1Bfdu3fHiRMn0K1bNzRo0ADe3t5o2bIlgP9bI6VBgwaCxRNLQaijatasCU9PT+jr6ys0TkE41h8R6jy2sbH5qfxEhODg4HzFzDRkyJCf/htFTH+qLO7u7ihbtiwCAgKgra2dY55y5crh6NGjqFatGlasWIHdu3fnK+aUKVMwdepU2NjYwNHREb1794aurm6+9vmziAjHjx/HuXPnMHPmTOzYsQPLly9Hnz59lFoOxhSFOzoKsLzeQBXC7t27ceXKlVzzPXv2DC9evFBIGZR1Y0CMY127di28vLywbt06rF27Fubm5hgwYACcnJwUPnf2nTt3cODAgVzzGRkZ4dq1a4LEFOt8UnbcoKCgPOf18fGBo6NjvmPmRBl1xdOnT2FgYAA9Pb0f5nv37h38/PzQvHlzhS0iKtZNRGXF1dPTw9GjR+Hk5IRhw4YhLi4OU6dOzTFfYmKiQsqgzOvPxYsXRf2xWtTPp7Zt24qy0PinT59y7LhKSUkBgCxzIGfOT59fOa2Vcfr0aWzevBmjRo2Sd6wAXxaEVdTNPGV+f8QgdpsxOTkZT58+FeW8VmZ9oez3OSAgAN7e3vDz85Ov79KjRw84OjrC1tZWYR3RmWs2JSUlQSKRoGXLllBRyfknqqqqKrZt25bvjo6RI0di9+7dePr0abbOsjVr1uDt27fZ/mbOnDn5igkAL1++RI0aNfKU19LSEi9fvsx3zIiICIwfPz7HbT179sTu3buRnJwMTU1NDBo0CCtWrMh3zK+JWV9YW1vj4sWL6N69O9q0aYPmzZujbNmyOH/+PN68eQMfHx9B4+XF1atXsWnTJoXdHBajTVOmTBkMGjRI6XGLan187tw5lC9fPk8dR+/fv0dUVFS+4n1t586dUFdXz1YHZ2RkyNf1yZSeno6UlJRC3dERHByMgQMHfreTI5OWlhYGDhyY704O4Mv9g8DAQPj5+WHYsGEYPXo0unTpAicnJ3Tq1Om71z+hSSQSDBo0CPb29li8eDEGDx6MTZs2YfXq1ahVq5ZSysCYonBHRwGmzIt3bGwsUlNTc80nk8kUtqC1sm4MiHGso0ePxujRoxEREQEfHx/s3r0bf/31FxYsWIAGDRrA0dERAwYMQNmyZQWJ97U9e/Zg7969ecor1Gcg1vlUEM7j71Hk+a2MusLMzAzz58/HrFmzfphPVVUVv//+O8aOHYtVq1YppCxi3URUZlxVVVXs3bsXY8eOxbRp0/Dw4UOsX78+y6Kax48fh7m5uULiK/uHsphPwBeH80kMFStWzHGBzOvXrwMAwsPD5R1b9+7dg6mpqULKkdmx8u1N8YyMDIWdd8o4n8W6UQsU7Gutoinze6vs97lTp07o1KkTkpKScPjwYXh5ecHHxwe7du1CmTJl0LdvXzg6OqJJkyb5jvW12rVrg4gQExODuLg4VK9eHZqamoLG+NalS5fQr1+/HEcEPX78GGvXrs3yPSYiQb4/+vr6ee68ePXqlSBPyJctWxY3btzIcdvNmzehpqYGdXV1AEDJkiUF6XT+mtj1haWlJW7cuIHly5djz549ePDgASwtLTF37lw0bNhQ8Hi5efz4MXbs2KGwm8NFvW3xtaJcHy9atChPD8gp4kG6LVu2ZNvnmTNn0K5dO0RERMgfGlHkQ3zKEhcXl+eHTi0sLBAbG5vvmG3atEGbNm2wYsUKbNmyBS4uLggLC8OBAwdgaGgIe3t7ODo6wtraOt+x8kJLSwsLFizAiBEj4OrqigYNGsDFxQULFixQ+CgtxhSFOzoKqIYNG+LMmTMwNDRUSrzJkyfDzc1NKbG+R1k3usQ8VjMzM8ycORMzZ87E9evX4e3tDR8fnyxDGIXu7Bg6dKjSn7IR6z0uCOexsimrrsjrNGja2tqoUaOGQqckK+pP4H9t3bp1KFeuHGbNmoWLFy9i4sSJMDY2xqFDh3Dw4EFs2LBB8JjKvv4A4v4wL4rnU0EYgdWlSxesWbMGXbp0Qe/evQF8mXLo4MGDMDU1xfTp07FmzRo8ffoUHh4evzRdQl6cPn0awJeOldKlS8vTw8PDUaJECcHjKev7I9aNWqBgXGuL4vf2W2K9z1paWnBwcICDgwPi4uLg6+uL3bt3ZxmVXLlyZcHi+fn5AfgyoqRHjx7YunUrKlasKNj+cxIVFYWhQ4fmuK158+bw9PTEkydPIJVKceDAAYwcOVKQuC1atMCOHTvwxx9/yDsXcpKamort27fDysoq3zEHDx6MBQsWoGTJkhg+fDhMTEwQGxsLb29vLFq0CL1795aP1nn27BnKly+f75hfU+Z5HBERgVKlSmVL19LSwpw5cwSrA79lZWUFBwcH9O/fX+HT6eVGWXWUjY0Nhg0bBicnpx/me/bsGSpVqoQFCxYIfh4Uh/o4N0SklPchp3Z6UehU09HRyXPnbkJCQq4jP35WyZIl5dNIffr0CT4+PvDx8YGHhwcqVqwIBwcHODk55TgV7M86e/YsAOB///sfgC9t8sjIyCx5XFxcUKtWLSxduhR79uwRpGOHMTFwR0cBpa+vj1atWoldDKWxtrZGRERElpsQRV39+vVRv359LF++HGfOnIGXlxcOHDiADx8+CBrHzMysWJ1LBZkiGqLKrCsuXryYpzUhVFRUEBYWppAyiFVXiFlHzZgxAw0aNMDYsWPh4uIiT3d2dsaIESMEjyfG9Uesm5Zifa6Kns+6IIzAmjlzJg4fPow+ffrAwMAAGhoaePnyJf755x/o6upiwIABaNy4MSQSCczNzQW/gfD+/XssXLgQa9asga6uLiZPngxPT0+YmZnh/PnzWL9+PZo1ayZoTEB53x+xbtQWBJUrV8acOXOyTKGhDMWxrVqqVCmMGTMGY8aMwZMnT+Dt7Y3du3fj5MmTgseqVasWVq1apZRO9pSUlO+uP6Kuro7ExESoq6tDV1dX0BtbU6dORcuWLdGxY0d4enqiUqVK2fJERkbC2dkZjx49EuSp/z///BOPHz/G0qVLsWTJEnm6RCKBlZVVlgcmoqKi0K9fv3zHFItYI8giIyMxYcIETJ48Ge3atYOjoyN69uwp+E3R3Cizjjp37hxsbW1zzVehQgUYGxsL/gBUUa6PdXR0kJSUlKe8Hz9+FPxamNO6kplpX4+OTU9Ph0wmEzS2sjVo0ADBwcHfnd7va0FBQQpd16d69eqYN28e5s2bh9DQUOzZsweenp5YtGiRIGt9tm3bVt4xJpFI4ODgkGO+zN9kipoemTFl4I6OQujTp0+Ijo6GkZGRIA0oZ2dn1K1bV4CS/To1NTWlNE4LwrHmxMbGBjY2NtiwYQMCAwOzLRj4q8S4eSjWe1xQP9tMmU9HCsHGxgZ169bFypUrfzhn9pUrV+Du7o5p06ahUaNG+Y577NixPJ+binrKR1l1hVhx58yZgzp16mRLt7Ozw4MHDxASEoLXr1/D0tJS0Cdq80ro6w8gzgiSTGKdT4qez7ogjMAyNDRESEgI1qxZg5CQEOjr68PR0RGdOnUC8OWJsuDgYJQoUQJdu3YVbKqaly9fYvXq1di8eTMSEhKwdOlSqKioYPLkyahdu7Y8n4aGBmbPni1IzLwS8vsj1o3agnCtrVSpktI/O0C59UVBeJ+/VblyZcyaNQuzZs1CWFiYYG3VTGZmZnm62SSEihUr4vz58xg1alS2befPn4e2trZCFodt3rw51qxZgwkTJsDCwgLW1taoW7eufJ2imzdv4sKFCwC+TEEnxIgOmUyGXbt2YeLEiTh58iTi4uJgYGAAKysrtG3bNkvebdu25Tve1wrSeRwfH4+HDx9CXV0dtWrVyjIVaH69ePECQUFB8PLywsGDB3HixAm4uLigW7ducHBwQMeOHZUy776y2zQfP35EfHx8rvnq1q2Lq1evChq7KNfHxsbGePToUZ7yPnr0CMbGxoLF1tPTQ0RERLb0zCf/Hz9+LO9cevz4saCxxeDs7AxnZ2eEhob+cCq7sLAwHDlyBFu3blV4mVJSUvDkyRNERETg7du3323r/ax9+/YBAEJCQrB06VJs3LgxxxFwjBUFEioKY86KCDMzM0yZMgVjxoz5Yb7Y2FiULVsWf/75J+bNm6ek0gnvV8quqCHHjBUmMpkMRISuXbvC19f3u9MfpKeno2LFiujZsyfWrVuX75iTJ0/GuHHj8vw3Qv0AEauuKE51VHG6/oj1uQ4ZMgR169bFxIkTf5gvc1rD33//HdWqVfulWDKZDHZ2dmjXrl2ueb29vXH37l0kJyf/UqyCZOjQofD29sanT59gZ2eHv/76S/703aFDh7Bv3z68ffsWVapUwahRo1CzZk1B4orx/alWrRoaNmyY44LqkydPxpYtW+TTMXh7e8PJyUmQJwKLm+J0HSgMYmNjce/ePbRu3Tpf+3Fzc8OSJUuwdu1ajB49Wp7u4+MDZ2dn9OvXD7t27QKgmO/P1atXMX/+fAQFBeHTp0/ydFVVVbRt2xazZ89WyIizou7o0aO4ffs2pk2bJk/78OEDRo4cCV9fX/lDOCVKlMDChQtz7OjKr5SUFAQEBMDLywvHjh1DWloaSpYsiT59+sDR0RGRkZEYOHCgYOeTWHVU5m+RvJBIJCCifB9zcamPnZ2dcenSJTx48OCHD7QREapWrYrmzZtj586dgsS2s7PD//73P5w5c0Y+pemLFy/Qvn17JCYmwszMDCtXrkRMTAwGDx6Mdu3awcfHR5DYYlm6dCmMjY1/+ADSzp07ER0dDVdX1x9+Jj/r4MGDsLe3x507d/DkyRP4+PjA398fycnJaNWqFRwdHWFvb5/rVLQ/w9/fHz179sSTJ08UPk0kY2Lhjo4CRCaTYf78+XmavsHMzAzVq1fHv//+q4SSKcbPDHXMPE35RzrLTXJyMmJjY/M0P31hJZPJ0LVrV/z7779o2rQpAgMDv3usEydOxKlTp+TzceYnZl7rJ6GJVVcUpzpK2defdevW4dChQ9i7d2+2+awvX76MtLS0bH+T3xtbmcQ8n4gIo0aNwrp167474iIpKQmmpqYYNmwYli1blq9YeR3VJ8QNiIJATU0N9vb2mD59eo4joxRFjPab2DdqlW3IkCHo3bs3unTp8sN8UVFRaNWqFVxdXQW5iSn2daA4tGl+hlDn8sePH9G6dWuEhYWhVKlSqFSpEqKiovDq1StUrVoV586dkz+1vHfvXgwZMiTPU8n8jNTUVDx8+BAJCQnQ09ODubn5D9fu+BXv37/Hu3fvULZsWcH3XdA0b94c5ubm8roPAHr27ImjR4/C2dkZLVq0QHJyMnx9fREcHAxvb2/0799fYeV5+/Yt9u3bBy8vL1y8eBGfP3+GlpYWkpKSBKsnxGzTtGnT5qfaZvkdiSd2fawsp0+fRvv27eHi4oK1a9fmeGP98+fPmDBhAtavX48TJ07kaRqxvAgODkb79u0hkUhQrVo1qKio4MGDB9DX18e///4LOzs7xMXFAfjSYXjx4kVYWloKEru4SUtLg7u7O2bNmgVNTU0kJyejbt26cHR0xIABA2BiYqKQuBkZGfj48SN0dXVFmzqYMUXjqasKmBcvXiA0NDTXfJUrVxZsqomgoCAEBgbCzc0t1wXUbt++DSMjI0GGKWZeJL+HiHDu3Dl4e3vj6NGjSElJyXfMd+/e4cOHD9meND927Bg2btyIBw8eQF1dHdbW1pgxY4bgC/L9999/2L9/P27cuIGXL18iOTkZmpqaMDY2Rr169WBvb48mTZoIGlPZxH6PT548iR49ekBHRwdubm6YPHmyoMPTC4o+ffpg1KhRsLe3R+vWrXHs2DGUKVMmW746deoIMsy2YsWKClm4Ny/EqCvEjAt8uRb4+fl9t67o0aOH4A1gZV5/vLy8ULJkyRyvOatWrcL+/fuzpQv1Y1XMz9XKygqbNm1CfHw8du3alWPdpKWlhd69e+d7Dvw//vjjp0ZgKUJ4eDjWrVuH8PBwlClTBiNGjECLFi0AAPfu3cO5c+egp6eHbt26CTK90oMHD2BmZpbv/fwKZbffZs6ciePHj2Ps2LGYN29ethu1X6+nJJPJBJv6QCw7d+6Eubl5rh0dpqamSExMxJkzZwTp6BCzvgCKR5vGw8NDvpaPsmhra+PChQvw8PDAv//+i7i4ONSqVQsTJ07E6NGjs8x5369fP4WtW5E5jZIijR8/HgEBAXj27Fm2jg43NzdER0dn+xsh1gbJpMzrwL179+Do6Cj/9/Pnz+Hv74/ly5dj8uTJ8nQXFxfY2dlh+fLlCu3oMDAwwIgRIzBixAg8e/YMPj4+8PLywp07dwSLIWYd1bZtW6U+ACV2fawsbdu2xYABA7Bp0yacOXMGDg4OqF27NnR0dJCYmIj//e9/8PHxwd27d9G3b1/BOjkAoE2bNjhy5AjmzZuHGzduQEdHB507d8bixYthbm6Ou3fvIjAwEOnp6ejcuTPKli0rWGyxXb58GQ4ODggJCcn1nlh+7Ny5EwEBATh+/Dg+fvwoX3Tc0dFRKZ1GMpmMH5xgRR+xAkMqlZJEIsnTKzOvELp160aNGzfOU14bGxtydHQUJO73XL9+naZOnUqmpqYkkUioQYMGtHz5cnr+/Hm+992zZ09q2rRplrT169eTRCIhQ0NDatOmDTVt2pTU1NTIyMiIHj16lO+YRESpqanUt29fkkgkpKqqSjVr1iRbW1vq3Lkz2draUs2aNUlVVZUkEgn179+fUlNTBYkrBrHe40x+fn4klUpp+vTpVLJkSapatSoFBgYKGkNsUqmUdu/eTUREV69eJSMjI6pcuTLdu3cvW96FCxdShQoVlF1EpVBkXSFmXFdXV1JTUyOpVEo6Ojpkbm5ONWvWJHNzc9LV1SWpVEpqamo0ffp0+vz5syAxlX39MTIyooULF+a4zdPTk/T09OjAgQN04MABmjRpkmDXux9R9Oea+b3dunUrqaqqUocOHejjx4855t2yZQvp6urmK9Zff/31y38vhPDwcNLR0SGpVErGxsZUvnx5UlFRoWPHjtG2bdtIJpORVColqVRKFStWpJcvXwoaPygoiCQSCb169UrQ/eZErPZbcnIyrV69mjp27EgNGzak9u3b09KlSykhIUGQ/eekTZs2tGvXrlzzPX36lCQSiWDnoVQqpQULFuQpb6dOnRR+3VPW9ae4tGnU1NSoW7dutGfPHkpOTv5uXi8vL6VcD5Th3r17NHjwYHr//r1C41StWpVGjx6d47YZM2aQTCYjXV1d0tXVJU1NTUHfX2VfB3R0dGjjxo3yf58/f54kEgk9efIkW96NGzeShoZGvuL9qujoaIXHUEabRux2RiZFH6sY172MjAxyc3OTf3++bUfo6OjQ9OnTKT09Pd+x2BfKajdKpVIqVaoUjR49mi5evKjQWF97/PgxnTt3Llv6pk2bqE6dOqSurk56enrUqVMnCg0NVVq5GFMEHtFRwPTq1QvdunVTasywsDAMGTIkW3pUVBS8vb0xYcIE+ZOALVq0kC9kJKQnT57A29sb3t7euH//PiwsLDB06FA4ODjI54cUwtWrV7PMoZ2cnIzp06fjt99+g6+vr/xJokePHqFVq1aYNm1ajk8W/6w///wThw8fxooVKzBixIgsT4plSkxMxJYtWzB9+nRUqFABS5cuzXdcMYj1Hn+NiODi4oJp06Zh7ty56NWrF2xtbfH333/DwsJC0Fhia9KkCS5cuICOHTuiWbNmWLduHZycnAB8eY/Xrl2LVq1aiVxK4SirrhAr7tKlS7FixQqMGTMGo0ePRvXq1bPluX//PjZu3IilS5fCwMAArq6ugsRW5vXnw4cP8mlBvmVkZISEhAR06NABOjo6Cn0iT4zzadiwYTAyMsKAAQPkT859uxjg+/fvc7xO5JWYI7AyzZo1C1KpFGfOnJHXQdevX8fMmTNx9epVNG/eHKtXr0ZsbCycnZ0xe/ZseHh4CFoGZQ7JF6P9pqGhgfHjxyttAWcAOHfuXJ6eHq1QoQKMjY0FXej+r7/+ylPbKC0tLcu6B0IR6/pT1Ns0AQEB8Pb2hp+fHwICAqCrq4sePXrA0dERtra2gs6HXpBER0djx44dWLJkiUKfro2Ojs6xLQEADRo0gIaGBt69ewepVAofH58sIyLyS9nXgTp16uDQoUNwcXEB8OVaKJFI8Pz582yj/Z4/f66QBefzQlELOCuzjjpz5oxoIygB5R6rGNc9qVSKv/76C9OnT8eFCxfw6NEjJCQkQFdXF1WqVIG1tbXCz9/U1FS8evUKpqamRbYeFoOfnx9+++23n5qKTQhjxoxBenp6lhHjf/75JxYtWoSqVatiwIABSE5OxqlTp2BtbY3z58//cIF2xgo0sXta2P8R68kIdXV12rJlS7b0zF7t169fy9M8PDzy9ZRpTtasWUMSiYRMTExo8uTJdO3aNUH3/zUNDQ3atm2b/N9XrlwhqVRK169fz5Z3yZIlZGBgIEhcExMTcnV1zVPeadOmkYmJiSBxxSDWe5zJz8+PJBIJRUZGytPu379PnTp1InV1dZo2bRolJiYKGlPZvh7Rkenly5dkbW1NEomEypcvTw0bNiQNDQ3S0dGh8PDwfMfcvn07/ffff7nmi4yMpMDAQIqPj893zG8ps64QK66ZmRmNHDkyT3ldXFzIzMxMkLjKvv6UK1eOJk6cmOO2pUuXkoqKivwpNUU9wavs8+nb7+358+fJwMCAypcvn+UJq/j4eLKwsKDOnTsrtDyKVrFiRZo5c2a29LVr15JEIqErV67I0+bOnSvYuZxJ2SM6CsqTrYomlUppxowZ9Pr161xfv/32G5UpU0awuA0aNKAhQ4bk+SUksa4/xaFNk+njx4/k5eVFnTp1ko9yLlu2LI0fP56uXr1KREVrRIey6ihNTU1as2ZNjtv27t1LEomEPnz4QETCv7/Kvg4cOHCApFIpubi40Nu3b4mIaNCgQVSvXj26f/++PF9gYCBpa2vTsGHD8hXvW6GhoeTj40OnT5/O9qR9cnKyQp++F6uOEoMY7TcxrntiU2Y7qiAICgoiqVSq1ONV5ntcunRpWrZsmfzf7969I3V1dRo8eHCWGQLevn1L1apVIzs7O4WXiTFF4a5ZBg0NDbx58yZbeuY8mImJifK0T58+Cd77nJycDIlEAl1dXejr6yv0KdRy5cplWZRZTU0NRJTjnLBaWlpITU0VJO7bt29hbm6ep7zm5uZ4+/atIHHFINZ7/C36/4vQAUC1atVw5MgRHD58GP7+/qhWrRq8vLwUElcsZcuWxblz5+Dp6YlatWpBIpGgT58+uHr1qiBPfA4dOhTW1tbYu3fvD/NJpVL07t0b27Zty3fMbymzrhAr7suXL9G4ceM85W3UqBFevnypsLIokq2tLbZs2YKbN29mSX/8+DFWrFiBli1bKvxJJ7HOp0zW1ta4ePEiNDU10aZNG1hbW8Pe3h6WlpaIiIjAvHnzlFoeob169QoVK1bMlp65ftPX6zOZmpri1atXgpehuCyyePr0aUilUsTExCgl3pIlS1CqVKlcX8ePH0dsbKxgcXv16oV//vknzy8hiV1fFIc2jZaWFhwcHHDkyBG8ePECa9euRaVKlbBu3To0a9YMVatWxc6dOwWJNWTIEAQGBuaaLyoqCmZmZti4caMgccVgbm6OY8eO5bjt2LFjMDAwUNiT4cq+DvTq1QsLFy7E1q1bUbZsWbRo0QIfP37EvXv3YGlpiTJlykBPTw9du3aFhYWFYKPnU1NTYWdnh0aNGsHR0RHt2rVD/fr1ERsbiydPnqB58+bQ0tKCnp4e/vjjjyzfZ6GIXUd9LT4+HleuXMH169cVMrpOjGMV67ontuLSjgK+rKE2Z86cfI2o/hXKeo8TEhJQsmRJ+b/v3LmDtLQ0uLq6ZilDiRIl4OLigsuXLyulXIwpgoQUcaVlv+TZs2cKbWx+T6tWrZCamoqrV69mSR84cCC8vLzg6ekJZ2dnAEDPnj0RHR2dLW9+Xbt2Dd7e3ti7d6/8Rp+DgwP69++f4wLLv8rNzQ1///03Tp48CSsrKxARqlevjt9++w1///23PF9ycjJatGgBbW1tnD9/Pt9xmzVrBplMhjNnzkBNTe27+VJTU9GuXTukp6fjypUr+Y4rBrHe48zp1549e4YzZ86gd+/eOTZU0tPT4efnh8TERMEWNy4OZDIZSpUqhdevX2P16tVZpif7Vq9evRAfH4+zZ88KXg5l1RVixa1Tpw4qVKiQpxsw3bp1w9OnT7N1FvwKZV9/njx5gsaNGyMxMRFdu3ZFlSpVEBUVBT8/PwBfpgnIHC7t7e2NgQMHIiMjQ/ByKPN8kslk2LlzZ7ZpQZKSkrB8+XLs2bMHr1+/hqWlJebOnYu2bdsKGl/ZKleujGbNmsHb2ztL+tSpU+Hu7o7AwEB06tQJADBhwgQcOXIEjx49Eix+TEwMjh8/jr59+yp8IW6x2m+ZTp8+jfbt2yM6Olqh9SDw5Txu06YNWrdunee/mT17tiBx58+fr9SFb7+lzPqC2zT/J3OKmt27d+Phw4cgonwf68+cT6VKlYKNjQ18fX3zFfNb169fxx9//IEDBw4odCH2ZcuWYfr06ZgyZQpmz54tnxJy1apVcHNzw+jRo7Fu3ToAX663Tk5Ogp1LYl0HwsLCsGrVKpw8eTLLAtaampqoX78++vfvj+HDh//wN9nPWLhwIWbPng1nZ2f0798fMpkM/v7+ePfuHe7cuYPw8HAMHjwYsbGx8PX1xYYNG+TTawlJmXXU0aNHcfv2bUybNk2e9uHDB4wcORK+vr7yzpwSJUpg4cKFGDVqlKDxld1+E+O6J7bTp0/D1tYWL1++VHjborhS5ntcs2ZNWFlZYcuWLQC+dHTUqVMHN2/eRK1atbLkdXd3x7x58/DhwweFlokxhRFpJAkrQHbu3ElSqZS6du1Kfn5+dOLECRoxYgS1b9+e2rdvTzo6OjR27Fjq2rUrSSQS2rFjh0LLc/r0afr999/JwMCAVFRUqEOHDrR9+3b5sOr8SExMpEaNGpGKigr16dOHPDw8aMWKFaSmpkbNmzcnV1dXGjt2LFWoUIFUVVXpzJkz+T8gIjp58iSpqamRhYUFLVy4kIKCguju3bv05MkTunv3LgUFBdHixYvJ3NycVFVV6eTJk4LEFYNY77Genh7p6uqSlpYWSSQS0tHRkS+u+L0XyzupVEqenp40aNAgkkgkNHfu3O/mXbNmDZUqVUrhZVJkXSFWXB8fH5JKpdSyZUvy8vKix48fU1JSEn3+/JmSkpLo8ePH5OPjQ61atSKJREI+Pj4CHJE47t+/Tz179iQtLS2SSqWkoaFBv/32G924cSNLvvj4ePm0JYqk6PPp6dOnlJSUJMi+CoNp06aRRCKhiRMn0n///UfXr1+nefPmkaqqKg0ZMoRMTU1p48aNNGfOHFJTU6PJkyeLXeRCqzhM07Vjxw66ffu20uN+j6LrC27T5OzatWu0aNGifO+noC1ur0jp6enUuXNn+aLfpUuXli8C3rJlyyxTnwUGBpKlpaVgsQvCdeD9+/f04sULevPmjeD7zlSrVi3q1atXtvRx48aRRCIhLy8veZqzszPVq1dPYWXJpOg6qlmzZuTk5JQlrUePHqSmpkbDhw+n7du308aNG8nGxkbh7VVFH2txmp7ya2JM5SSG+Ph4cnd3p5EjR9Kff/5Jjx8/lm97/fo1HTt2jC5dupRleiehKPM9XrZsGamoqNCePXvkaU2aNKF+/fpRWlqaPO3ly5dUuXJl6tChg8LLxJiicEdHAXT9+nUaPHgw/fnnnwq/YZdp4sSJJJPJSCKRkFQqpQoVKlB4eDg9f/6cWrZsSTKZjHR1dcnNzU0p5SEiSktLo0OHDlGfPn1IU1OTNDQ0BNlvYmIiTZgwgbS1tUkqlcqP+etXo0aN6Pz584LEy3ThwgWysrKSx/z6lRm3RYsWdPHiRUHjikGs95iIyN/fP9t81kVNZGQkJSQk5JovLS2NEhMTBWmYfb2+wB9//EFSqZRGjx6d4743bNhAJUqUyHfMvFJUXSFW3D179pCpqWmOdcXXdfTevXsFiUf05VjevXun0PmjfyQhIUEhPyB+hVjnU1GTnJxMHTt2zHIey2QymjJlCmVkZFDv3r3l14MGDRoIsq7PqVOnaOLEiRQXF5dr3lu3blF0dHS+YxJ9mec4MjKSUlJSBNnfz1LmD+XiesPnexRdXxSHNo0YpFIpqaurk46OTq4vNTU1wdcFyVzLISgoSGlrOfj5+ZGLiwv17t2bhg8fTnv37qWMjAzB43xNjOuAGLS1tWnTpk3Z0g8fPkwSiYSePXsmT9uyZQvp6OgorWyKqqP09fVp7dq18n9HRUWRVCold3f3bHk7dOhADRo0ECTujyjqWIvrde/du3d09uzZLDfBi5ro6GgyNjaW100qKiqkra1N//33Hx09epR0dHTkdVfjxo3p/fv3gsZ/9eoV7dixg5KTkwXdb04+ffpEnTt3lh/LzJkz6c8//yR1dXWqWLEi9e3bl7p06UK6urpUokSJbA+eMVaY8NRVBZC/vz969uwJAwMDqKqqYtGiRfIh7Ir05MkThIWFQV9fH61atYK6urp8W2pqKtTU1ASdQ1Amk+V5jlKJRCLIUPWvJSQk4OLFiwgPD0diYiI0NTVRrlw5NGzYEFWqVBEszrdevHiBGzduIDo6GsnJydDU1ISJiQnq1auHcuXKKSyuGMR4j0NCQrB48WJs3rwZpUqVUkgMsclkMpQrVw7Hjx+HpaXld/NduXIFVlZW+OeffzB48OB8x/x62p0VK1Zg2rRp6NChA7y9vbNMu2Bra4uPHz8KNrenWHWFmHUUEeHSpUs51hX169dH8+bNBa2PJ0+ejC1btiAqKirXuY7HjBmD+vXr4/fffxcsvjKJfe0pbkJCQnD9+nWoqKjAysoK1atXl28LDw9HcnIy6tatK0is7t274+XLl/jvv/9yzdu2bVuYmJhg9+7d+Y7r7OyMgIAAPHv2LNv0Qm5uboiOjs72N56envmOm0mZ03SdO3cOZmZmMDU1VWicH4mJicGxY8fQr18/hR+v2PVFcWjTiEEmk6FevXo/VfcIse5LamoqunXrhpMnT8rPl1q1auHUqVNITEyEo6Mjrl69Ck1NTbi4uGDFihVFYo58ZV4HxGBoaIhx48ZlW1tr8+bNGDVqFG7cuIE6deoA+NJ+XrFihWDrUolVR+nq6mL58uXyKbguXLiAVq1a4fHjxzAzM8uSd9OmTZg0aRKSk5PzFVOsYy0I1z2mGMOHD8fu3buxefNm9O3bFzKZDEeOHMG2bdsQFhaGEiVKYMGCBYiNjYWrqytcXFywbNkysYv9yz5//ow1a9Zg1apVeP78ebbtampq6NKlCxYtWiTIGp+MiYU7Ogogf39/9OjRA3fv3oWvry+WLVuGmjVrYu3atWjSpInYxRPMhAkTfnoxtjVr1iioNIwVHjKZDFKpFCVKlEBgYCCaNm363bwtWrSAkZGRfO2D/MT8dn0Bb29vDBs2DPr6+hg2bBiMjY1x+PBhnD59Gnv27EHfvn3zFTOTWHVFcaqj6tevj4YNG2Lr1q255h06dCiePHmC4ODgX4539uxZmJmZyRck/Z74+Hi8evUKlStXhqam5i/H+5pYn6tMJkPt2rVx/PjxH87De+7cOfTu3RubN29Gr1698h23ODE1NcWQIUMwf/78LOlRUVHw9vbGhAkT5DfG//zzT+zbtw/379/Pd9xq1arB1tYW69evz7Zt5syZWLZsGbS0tAB8WVMhJSWFO8/yQZlzWhen64BYZs+ejT179uDSpUswMjLKsm3fvn1ISkrK9jeZawf+KrHWfCkoazkwYfXo0QPnz5/HyZMn0aBBAwDAo0eP0L59e6ioqKBevXrYvn074uLiYGtri6pVq+Lo0aOCxBarjmrRogV0dHRw/PhxAF+us5UqVUJwcDBatmyZJe+sWbPg4eGR70W6uT5WvB07dvz03+S3PhaTubk5unTpkmUdUQBYunQpZsyYgaCgINjY2AAAZsyYgQMHDiA8PFyEkgrv/v372R5GrVWrlry9ylihpqSRI+wn+Pn5ZRmm/uLFC3JyciKZTEZDhgyhmJgYpZXl9evXdPnyZQoLCysSwxbFnl6iOBBrChwxpnMSi1QqpWXLllGdOnVIR0eHTpw48d28ixYtIlNTU0FiZk5d9bXbt29TmzZt5FMPaGpq/nD9DvZjYp3HJUqUoJUrV2ZLDw4OJg0NjSzTSaxcuZLKlCmTr3hSqZT09fXp7NmzP8x39+5dkkqltG7dunzFKwgyvyOVK1emR48e/TBv3bp1qV+/fkoqWdGhrq5OW7ZsyZaeuYbF69ev5WkeHh6CrWugo6NDa9asyXHbvn37SFtbWz5FjLe3t+DT4IghIyODXr58KUrbUJlrkjDFa9CgAfXt2zfHbUOHDs02/akQ3x+xpqIpiGs5KNOLFy/o2rVrdP78ebp27Rq9ePFC7CIJ4ubNm6Snp0cymYxq1KhBdevWJTU1NbK0tKTw8HD5uigSiYRUVVXp0qVLYhc53w4cOEBSqZRcXFzo7du3REQ0aNAgqlevHt2/f1+eLzAwkLS1tWnYsGEilVQ4Dx48oLlz59K2bdtEm+pV0b435fS3r6+n1C3MNDQ0yMPDI1t65rSRX9dR27ZtI01NzXzHbNOmDe3atSvXfE+fPiWJRFIsp01jLL+kYne0sNyZmJhg165duHTpEu7fv49q1aph5cqVSE9PF2T/R48exdKlS7OkffjwAQMGDEDp0qVhZWWFhg0bokyZMti4caMgMcUyfvx41K9fH58+fcq2zc3NDUOGDMn2Yj9n2rRpKF++PBISEnLNO2bMmDw9QZ4XlStXRo0aNXDv3r0f5gsNDYWuru4vPbFSkJiYmODcuXOoX78+unbtir179+aYr3Tp0njz5k2+43l6esLKyipbeq1atXDmzBlER0fj1q1biI+Px5w5c/Idr7gS6zxOTk6GtrZ2tvSUlBSkpqYiIyNDnmZgYIB3797lO2Z6ejo6duz4w9FGlpaWsLW1hb+/f77jFQSurq5IS0uDtbU1bt68+d18PXr0QEhIiBJLVjRoaGjkWN/FxcUBABITE+Vpnz59gkwmEyTu19+Pb33+/BlJSUn4+PEjAPz006jfY2Njk6dpt549ewapVIqFCxcKEhcAFi1aBCMjI5iYmEBbWxsuLi7IyMhAcnIyZsyYgebNm8POzq7IfG/FcPbsWTx79izXfHFxcZg3b16hri8iIiLQqFGjHLfZ2NhAR0cHISEhCAkJwYIFCwSJ6enpie7duwuyr58RERGBDh06ZEtv164dAGR5Et7a2hqPHj1SWtkU5fnz5xg9ejTKlCmD8uXLo3HjxmjVqhUaN26M8uXLo2zZshg9ejRevHghdlF/WZ06dXDt2jW4uLhAX18fenp6mDx5Mi5cuAALCwtcvXoV06ZNw4QJE3Dp0iU0b95c7CLnW69evbBw4UJs3boVZcuWRYsWLfDx40fcu3cPlpaWKFOmDPT09NC1a1dYWFhku9dQGN2/fx/z58/H6NGjUb9+fZw5c0bsIgkuJCQE165dk9e5Ob327duH3r17CzbSWkwlS5ZEaGhotvQbN24AAB4+fChPe/ToEUqXLp3vmOfOncPTp09zzVehQgUYGxvnaTpWxlhWKmIXgP2fzAovc1hnVFRUlu1lypSBt7c3vLy8MGfOHGzduhV3797Nd9wFCxbA3Nw8S5qzszOOHj2KYcOGoUWLFkhOToavry/GjBkDAwMD9O/fP99x81LBf6tixYr5innlyhUMGDAg2xzawJebD7t27co2vYSQ82gXB2fOnEG/fv1ynecf+HJzdffu3YLN9f/y5Uu0atXqh9M5NWvWDM2bN8ehQ4fyvW6F2PT19XHy5En069cPDg4OePz4MWbOnJklz+XLl7PNlfsrBg0a9MPtZcqUUdgUImLUFWLGFeM8NjExwa1bt7KlZ3a4PH36VD4/fEREBExMTPIdc/ny5Th48CDs7e2xZcuW7x5Hhw4d4O7unu94mcT6XIEvHYMXL15Ex44dYWNjAz8/v2xTPABfftwINX93cVKnTh0cOHAArq6uWdIDAwMBAMHBwfIpFk6ePImqVasKEtfc3BzHjh3DuHHjsm07duwYDAwMoKurK0isTOfOnYOtrW2u+YT+obxnzx78+eefqFq1KlxcXOTzWc+bNw/h4eHYt28fatasiefPn6Nnz544fvx4nsr5s5S1boFY9YWNjQ0WLFiQ69RKenp6WLx4MWJiYtC4ceN8xxVDUlIS9PX1c9ymp6eHxMREVK1aFTo6OoJMNQfk3qZRFDU1tRzX7Mms79++fStfB+Ddu3c5PoBQmNy7dw+tW7dGUlISunTpgkaNGsHY2Bjq6upITU3Fy5cvce3aNezcuRP79u3D+fPns6zfUZhYWFhg3bp1OW6rVKmSoJ3NXxOzTTN9+nR06NABq1atwsmTJ3HlyhUAX+rnjx8/on79+ujfvz+GDx8ONTW1fMcT81gzERGCg4Ph4eGB9u3bo2fPnnB3d891KtbCInPqtW+9fv0avr6+8Pb2xpUrV1CyZEkMGTIEDg4OSi6hsLp27YqtW7fC0tISDg4OUFVVhb+/P5YuXYqOHTti/PjxWLp0KV69eoX169ejT58+gsT9+PEj4uPjc81Xt25dXL16VZCYjBUrIo8oYV/5ehjgt0MCv30JNXSbiEhfX5/Wrl0r/3dUVBRJpVJyd3fPlrdDhw7UoEEDQeLmdow5vfKrOE4voWzKngInkxjTOYnl22mkMjIyaMSIESSVSsnW1pZOnDhBt2/fpvnz55NMJiv0Q17FqCvEiivWeTxixAjS1tamq1evytMeP35MDRs2pFKlSlHXrl3p9evXFBoaSmXLlqUhQ4bkK17mOZyWlkZ9+/aVH3dOhJxiKDO2WOdT5vc2Pj6emjZtSpqamlmmKsk0ceJEqlatmiBxi5OdO3eSVCqlrl27kp+fH504cYJGjBhB7du3p/bt25OOjg6NHTuWunbtShKJhHbs2CFI3KVLl5JEIqGpU6fKp55LTk6mRYsWkUQioTFjxsjzenl5CVZXzJgxg16/fp3r67fffhPsWtusWTNq0KABffr0KUt6v379SCqV0p9//klERJ8+fSJra2uysbERJK5YxKwv8nrtbty4MTVs2FCQuGKoVKkSjRgxIsdts2fPJnV1dXnbXKjvj1i6d+9OhoaGFBoaKk97+PAhVapUiczNzcne3p4SExMpIiKCqlSpQr/99puIpc2/jh07krm5OT1//vyH+Z4/f04WFhZkZ2enpJKJR+hzWKw6Kifv37+nFy9e0Js3bxSyf7GP9dvpxUNDQ8na2pq0tLRo3rx5RW5q7MTERNq1axf99ttvpKqqSvr6+uTs7EzHjh2T18mFXXx8PNWpUyfbudWnTx/6+PEjNWvWTD5dl6mpKT179izfMX/mPBbynh9jxQmP6ChAli9fDgC4c+cOPD094ebmBgMDA4XHzcjIgIrK/50KkZGRICL07NkzW96ePXti0qRJgsUeMGAAGjZsmCXt4cOH8PDwwLx58+SjK8LCwuDt7Z3veHmdXkJXV1ew6SWKGzGmwMmUOZ1T165d0bVrV+zYsQP9+vXLlk+o6ZwKCqlUis2bN6Nhw4aYNm0a7OzsAHx5oqpNmzaYMmWKYLH+++8/7N+/Hzdu3MDLly+RnJwMTU1NGBsbo169erC3t0eTJk0Ei5dJ2XWFmHHFOI/d3Nxw6NAhtGjRArVr14ampiauX7+OuXPnQltbG+PHj5eP6ChVqpRg05Opqqpi7969GDt2LKZNm4aHDx9i/fr1UFVVlec5fvx4tlGH+SXW+ZTJ0NAQp0+fRp8+feDk5ITTp09j2rRpMDY2xqFDh7Bx40aMHTtW8LhF3cCBAxEWFoa1a9ciMDAQEokE5cuXx6lTp6ClpYUBAwZg48aN0NLSwsyZMwV7qvuPP/7AuXPn4O7uDnd3dxgZGSE+Ph5EBGtr6yxTdujr6wv2xPKSJUuwZMmSXPNJJBLB2jTh4eGYPXt2lnYj8GUaE19fX/mIGRUVFQwYMEDwqQw/f/6M2NhYlCxZMks9oUhi1ReBgYF5GtmVkJCAx48fCxZX2bp06YLNmzeje/fu6NSpkzz94sWLcHd3h52dHaTSojHb8vz589GyZUs0adIE1apVg6qqKu7du4cqVarAz88P1tbW0NfXx+fPn6GiooJdu3aJXeR8uXDhAhYvXoxy5cr9MF+5cuUwYcIETJ8+XUklK1rEbtNk0tPTg56ensL2DxScYwW+jH44f/489u3bB1dXV2zfvh0rVqxAr169FBpXGXbt2gUXFxd8/vwZnTp1go+PD7p06QJ1dXWxiyYoQ0NDhIaG4vDhwwgLC4OKigpatGgh/y198eJFnDp1CsnJybC1tRVslJ2NjQ1at24tyL4YYzkQt5+F5cTf35+kUqn8aQFFs7Kyog4dOsj//ezZM5JKpXTu3Llsed3c3KhUqVKCxP3e4sY5LRoq1NMvtWvXpk6dOuW4bciQIWRoaCh4zOLGzMwsy9OrmVatWkUSiYRCQkLkabNnzyYzMzNB4n59PqWkpFD37t1JKpXSwoULs+UdNmwY1apVS5C4YhgyZAhdvnw5x23v37+nPXv20Lp16ygoKEiwmKmpqdS3b1/5Qoo1a9YkW1tb6ty5M9na2lLNmjVJVVWVJBIJ9e/fn1JTUwWLLUZdIVZcMc/jR48e0eDBg6lmzZpkZWVF69evl287deoUzZgxg5YuXUovX77Md6yc3ttFixaRVCqlGjVqkIeHBwUEBMgXot24cWO+Y/4oNpE451NGRgbNmDFD/t3JfNWoUYPevXsnSNzi6PHjx7Rv3z46ceJEticsU1JS6PPnzwqJ6+fnRy4uLtS7d28aPnw47d27V2FPPUqlUmrbti3Nmzcvzy8haGtr04oVK7KlZ46Cffz4sTxtw4YNVKJECUHiEhEtXLiQDAwM5NehkSNHUnp6OiUlJdH06dOpWbNm1KFDB/Lz8xMsppj1xc++CqvY2FiqVKkSSSQSatSoEfXt25eaN29OUqmUSpcuTQ8fPpTn9fLyKtTHSkQUHh5OY8aMoebNm1PLli1p+vTp8tHOERERNHPmTJo4cWKW9nJhZWhoSIsWLcpT3sWLF2f5HVZUKWJEhxh1lBjEPtbMER0RERHZtqWkpNBff/1FOjo6ZGtrK2hcMcyfP5+kUik1b96cduzYIR+tyvLvZ0ZsMsZ+DXd0FEAfPnygmzdvUlpamlLiHThwgKRSKbm4uNDbt2+JiGjQoEFUr149un//vjxfYGAgaWtr07BhwwSJK0ZjRYzpJYobZU+Bk6m4TeekbK6urqSmpkbu7u7fbewmJCTQypUrSU1NjVxdXQWLXZBuTCs6bnE5j7/33h47dozMzc2z3LwbPHiwoDeLxTqfbGxs6OTJkzlue/ToES1ZsoSmTJlC27ZtK3LTHzDhifVDuXnz5mRpaZnlOvDp0ydq06YN6ejo0Pz584mIKD09ndq0aUNNmjQRJK6Pjw9JpVKqXr06zZgxg2bNmkX169enP//8Uz5tVu3atal8+fIklUq/+137WWJefwpr/f4rYmNjadKkSVS9enUqWbIkWVhY0KhRo7JNeZSamkoxMTEilZL9rEGDBpGhoSGdOnXqh/lOnTpFhoaGNHDgQCWVTDzc0fHrxKyPv51KqKhPNZSSkkL79u2jnj17koaGBmlpaVHfvn3p8OHDSrtHJbbXr1/T5cuXKSwsTNBjLm7Xd8bEwFNXFUC6urqoU6eO0uL16tULCxcuxJ9//glPT080bNgQxsbGuHfvHiwtLVGqVCkkJycjMTERdevWzTIFQ36oqKggISEhW/qHDx/k/y1ZsiQA4P3794Is5CnW9BLFiVhT4HxLmdM5FQe7d+/GxIkTMXny5O/m0dHRwaRJkxATE4Ndu3YV6rpCzLhfK6rn8Zw5c3K8ztnZ2eHBgwcICQnB69evYWlpicqVKwsaW6zP9fTp09/dVqVKFUybNk2QOIwpkqurK3r37o0aNWqga9euUFVVxb///ouXL1/C29sbvXv3xtGjR/H69Ws8fvwYO3fuFCTu6tWrUa9ePVy9elU+bdaCBQvQv39/7Nu3D25ubpg/fz7S09NhY2ODRYsWCbIIekG4DhQHpUqVwsqVK7Fy5cof5lNTU0Pp0qWVVCqWXytWrMCtW7fQvn17VK1aFU2aNIGxsTE0NDSQkpKCly9f4r///kN4eDjq1auX6+dfUI0bNy7PecPDwwWNXZzqKLGOdezYsSAiRERE4MiRI3B2di7U72NeqKurw97eHvb29khISMD+/fvh5eUFe3t76Onpwd7eHg4ODoV++qWjR4/i9u3bWdrgHz58wMiRI+Hr6yuf9rNEiRJYuHAhRo0ale+YZ86cgZmZWb73wxj7AZE7WthX3r59S0+fPs2W/u+//1K3bt2oWrVqVKdOHRo9ejRFRUUJHj80NJScnJyoTJkyWZ6m1dbWJmtra1q3bp2g09GYm5tT7969s6WPGzeOpFIprVu3Tp7WpUsXqlevnmCxlTm9RHGkzClwMokxnVNBc+vWLRo/fjzZ2dlRt27daNmyZfThwwdB9q2pqUkeHh55yrtlyxbS1NQUJC6ReHWFGHH5PFY8Ma89rGgSo/129uxZQRbF/BU+Pj5Us2ZNkkqlpKKiQs2aNZOP4jx8+DA1b96c6tWrR3///bdgMQ0NDXPc3969e0kikdCjR4/kaevXrycjIyNB4opVX9jY2NCuXbsE2RcrONq0aUMTJkzI9TfH5cuXyd7evkhMX5WWlkYeHh5ka2tLRkZGWX5jGhkZUfv27WnLli306dMnsYv6y2Qy2U9NMyfkE//FqU0j9rEqe3rxgujly5e0atUqaty4MUkkEipfvrzYRcqXZs2akZOTU5a0Hj16kJqaGg0fPpy2b99OGzduJBsbG5JIJOTj4yNSSRljP4M7OgqQnj17UtOmTbOkrV+/niQSCRkaGlKbNm2oadOmpKamRkZGRll+1Ant/fv39OLFC3rz5o3CYkyfPp0kEgkNGjSI9u/fT4cPH6Zx48aRTCajMWPGkJqaGnXt2pWaNGlCEokkS+OFseLMwcGBatSokSXtwIEDpKamRioqKlSpUiV5h6W5ubkg0zw0bdqUrKyscu3sTElJoRYtWmSry/JDrLqiONVRgwcPpoCAgFzzPXv2jCpVqkQbNmxQQqkUQ6zP9fHjx3T48GFee6MIKkjtN2VKSUlR2s1JsdYGKU7XAaZ4mTe5u3Xr9sMpCj99+kQmJiY5rnlX2KWlpdH79++LzfQ338qss4RSnOoosY/11atX5OfnR0lJSYLutyAxMzOjSpUq5foyMzMjTU3NQj9Nl76+Pq1du1b+76ioKJJKpeTu7p4tb4cOHahBgwbKLB5j7BdxR0cBYmJikmXB2aSkJNLV1aVOnTpRYmKiPP3hw4dkbGyc4xMNhcnHjx+pZcuW2ea9nDRpEhERzZ07lypVqkTly5cnV1dXQUdcJCUlUWRkJL1//16wfTKmLBUrVqQ5c+bI//3p0ycqVaoUNW3aNMsTvsHBwaSvr0+DBw/Od8yTJ0+SmpoaWVhY0MKFCykoKIju3r1LT548obt371JQUBAtXryYzM3NSVVVVbD50YnEqyvErKOU7WfmizUyMqI+ffrkK15wcPBPv4Qi1uc6ePBgqlChQp5uDLds2ZImTpwoSFymeMWt/SYGsdYGKU7XAaZ4UqmUunfvTmpqatSyZcsf/g6ZMGEC1axZU4mlY8og9DoZxamOKk7HKpZu3bpR165df+pVmOno6NDGjRvl/z5//jxJJBJ68uRJtrwbN24kDQ0NZRaPMfaLJET/f+I5JjpNTU2sX78eQ4cOBQBcvXoVVlZWCA0NRb169bLkXbp0KZYuXYo3b97kO+6pU6dw8eJFjBkzBkZGRvne3886ceIEbt68CR0dHbRq1Qo1a9ZUeEx/f3/06NEDOjo6cHNzw+TJk6GqqqrwuCyryMhInD17Fs7OzoLs782bN9i+fTvCw8NRunRpDB48WD6/f3x8PK5duwY9PT00a9YMEolEkJhi+LauCA0NRZMmTXDhwgU0b948S965c+di48aNiImJyXfcixcvwtXVFVeuXMG3l47M97N58+ZYtmwZrKys8h3vW2LUFWLGVSaZTIZ58+Zh1qxZuebt3Lkz/ve//+Hp06f5ivezzY/Pnz//crycKPtztbCwQLdu3eDu7p4lPSEhAXfv3kWjRo0gk8kAAJMmTcK5c+cQGhqq0DIxYYjVfivohLzGHz58GL1790a5cuWyrQ3i5eWF3r17o2HDhlnWBnFychLgKL4oKNeB27dvY+vWrXjw4AHU1dVhbW0NFxeXIj9ffFEhk8mwc+dOGBkZwd7eHubm5jh27BjKlCmTLe8///yD8ePHIzExUYSSCismJgZ+fn4IDQ1FdHQ0kpOToaOjAwsLC7Rr1w52dnaFul3+M7y9veHk5FTo2zRiUvaxhoaG4sKFC3BycpKvAfI9b9++haamJjQ0NBRaJiaMFi1aQEdHB8ePHwcAREVFoVKlSggODkbLli2z5J01axY8PDwQGxsrRlEZYz9D3H4W9rUqVarIn0ggIgoLCyOJRELh4eHZ8q5Zs4a0tLQEiWtnZ/fdOSytra3lT0x8/Srs/Pz8SCqV0vTp06lkyZJUtWpVCgwMFLtYxY6QTzVFR0eTsbExSSQSkslkpKKiQtra2vTff//R0aNHSUdHR37+Nm7cuFCP5ilfvjy5ubnJ/3316tVsU3dk2rBhg6DrZRARPX/+nAIDA8nDw4NWr15NHh4eFBgYSM+fPxc0DlMeqVRK6urqpKOjk+tLTU0t39/bAwcOZHvNmzePpFIpbd++PUv6pEmTisR1R1tbO8tTY5mCgoJIIpHQ69ev5Wnr1q0jQ0NDZRaP5YNY7beCTugnl8VYG0QsYkxRyRRPKpXS7t27iehL283IyIgqV65M9+7dy5Z34cKFVKFCBWUXUXALFiwgDQ0N+dP33z6NL5FIqFatWnT9+nWxi6oUXl5eJJVKxS4G+wn9+vWj6tWr5ylv8+bNaejQoQouERPKgQMHSCqVkouLC719+5aIiAYNGkT16tWj+/fvy/MFBgaStrY2DRs2TKSSMsZ+Bnd0FCAzZ84kLS0tunjxIhERff78mapWrUoTJkzIki8pKYnq169P1tbWgsQ1MTGhP//8M8dta9euJV1dXRo3bhyNGzeO7OzsFHLD6d69ezR48GCl3Xz28/MjiURCkZGR9PbtW5owYQKpqalRp06dcrwxwfJuxowZdPv27TzlFfImyO+//04aGhq0Y8cOSk5OprS0NDp06BB16dKFTExMqEaNGnTgwAHauHEj6erq0tSpUwWJK4YxY8ZQyZIl5edq5lzOixYtypLv8+fP1KZNmyI1n6iy6wqx4yqLVCqlBg0a0JAhQ/L8ElpON/yJhL9Z+jVlfq5aWlq0evXqbOn+/v4kkUgoOjpanrZ169ZiczO8KBCr/SYGsa7xX1Pm2iBfU2Z9IcYUlUzxvu7oICK6f/8+VapUifT19bMsPv/w4UMqW7Ys9e3bV4xiCmb9+vUklUqpVatW5OnpSSdOnKBdu3ZR586dycjIiE6fPk3Hjx8nKysrKlGiRI4P7BQ1sbGxdPbsWYXsu6i3Vb+mzGOtVKkSTZ8+PVt6bGws7dmzJ8t6M9OmTaNatWopvExMOIsXLyYVFRVSV1cnKysr6t27N6mrq5NEIqHSpUuTrq4uSSQSqlevXrbfKIyxgok7OgqQxMREatSoEamoqFCfPn3Iw8ODVqxYQWpqatS8eXNydXWlsWPHUoUKFUhVVZXOnDkjSFx1dXXasmVLjtsCAgJIKpVScnIyESnuR2vmDa5Xr14Jvu+cfN3Rken+/fvUqVMnUldXp2nTpmWZV5vlXebTWXXr1qUlS5Zk+UH+LSHPpypVqmS7qUREtGTJEpJIJHT69Gl52vTp08nCwkKQuGKIi4ujypUrk56eHk2dOpVOnDhBmzdvJg0NDerfvz9t2LCBVqxYIV+Mb9++fWIXWTDKrivEjqssP7NGh6IEBweTRCKhly9fZknfvn07qaqqKiSmMj/X2rVr57g2Q+bimsePH5enjRkzhiwtLRVeJiYMsdpvYhDrGl8QKLO+0NDQoG3btsn/fe3aNZJKpXTp0qVseefMmUOlS5dWeJlY/n3b0UFE9PLlS/kI+vLly1PDhg1JQ0ODdHR0Cv3DV9WrV6cOHTrkuG3gwIHUsGFDIiJKTU2lWrVq0YABA5RZvCKnqLdVv6bMY9XU1CQPD4/vluHrm98bN24kfX19hZeJCSs0NJScnJzkIyUzX9ra2mRtbU3r1q2j1NRUsYvJGMsjqdhTZ7H/o62tjeDgYIwZMwZHjx6Fi4sLpk6divT0dFy9ehUrVqzAhg0bULp0aZw+fRpt2rQRLG50dHSO26Kjo0FERXbeVPpqjvhq1arhyJEjOHz4MPz9/VGtWjV4eXmJWLrC6datW5g5cybev3+PmTNnolKlSmjdujU8PDzw9u1bhcV98eJFjnO01qhRA8CXzzeThYUFnj9/rrCyKJqRkREuXLgAGxsbuLu7w87ODi4uLkhLS4Ovry/GjBkDV1dXPH/+HN7e3rC3txe7yIzlysjICBKJBGFhYVnSw8LCYGpqKlKphNOnTx8cOnQI7u7u+PDhA1JTU+Hj44NTp06hevXqmDhxIg4cOICVK1di27Zt6Nevn9hFZnkkVvtNDGJd44sbIyMjPHnyRP7vjIwMEFGOazmUKVMGCQkJyiweE1DZsmVx7tw5eHp6olatWpBIJOjTpw+uXr0KCwsLsYuXLxEREejRo0eO23r27ImwsDAkJydDTU0NgwYNQlBQkHILyFgeqKio5FjHvnv3DgCQnJwsT5NKpcjIyFBW0ZhAGjRogF27duHVq1d4+/YtoqKi8Pr1ayQmJuL8+fMYM2YM1NTUxC4mYyyPVMQuAMtKW1sbf//9NxYsWICLFy8iPDwciYmJ0NTURLly5dCwYUNUqVJF0JhNmzaFp6cnJk2alGUxw/T0dKxfvx6WlpZQV1cXNKZYhgwZAgB49uwZAGDq1KnQ0dHJlq9hw4bw8/PDwIED4ejoqNQyFnY1a9bEX3/9hb/++guXLl2Cl5cXfH19MWrUKIwfPx52dnZwdHREt27dBI1bsmRJhIaGYvjw4VnSb9y4AQB4+PAhTExMAACPHj1C6dKlBY2vbMbGxjh8+DAePXqEU6dO5VhXtG7dGioqXM2z3Hl6eqJ+/fqilsHS0hKlSpXCmDFjsHr1apibm+P06dPYvHlzkbjpP2XKFBw5cgSurq6YOnUqpNIvz5r4+flBT08P3bp1Q58+fSCRSNCiRQtMmTJF5BKznyFG+00MYl3ji5vu3btj06ZNcHZ2hoWFBRo0aABjY2Ps3bsXM2bMkOcjIvj6+sLS0lLE0rK8+t4NUIlEAmdnZzg7Oyu5RIpVtmxZeTv8Wzdv3oSampr8N2bJkiW5w44VSNWqVcPx48cxefLkLOmZHXMhISEoX748AODSpUtF4lpfnOnp6UFPT0/sYjDG8oHvgBVQurq66NixIzp27KjwWNOmTUO7du1Qv359TJw4EVWqVEFUVBTWrVuH//3vf0oZ1WBgYIA2bdoovKf84MGDICL5D41jx479cLRKTp0gLO+srKxgZWWFNWvW4NixY/Dy8oK/vz8CAgKgq6sr6JNqXbt2xdatW2FpaQkHBweoqqrC398fS5cuRceOHTF+/HgsXboUr169wvr169GnTx/BYovJ3Nwc5ubmYhdDaZRVVxSUuMoyaNAgsYsAqVSKlStXYtCgQfInQCUSCQwNDTF37lyFxFTm56qpqYkLFy7Ay8sLISEh0NfXR//+/VG7dm0AX558/e+//1CiRAk0adJE4eVhiqHM9pvYlHmNLwiUWV/MnTsX//77Lxo1aoSRI0eiffv2mDNnDiZMmIBbt26hVatWSEpKgq+vL0JCQuDr66vwMjH2swYPHowFCxagZMmSGD58OExMTBAbGwtvb28sWrQIvXv3lnf6P3v2TH6zmP2aot5W/Zoyj3XgwIGYNGkSxo0bh+HDh0NTUxP79+/HzZs30bhxY4wZMwZPnjzB06dPsWvXLqxatUrhZWLCCA0NxYULF+Dk5ISSJUv+MO/bt2+hqakJDQ0NJZWOMfarJPT13D2s2NqzZw8mTJiA169fy9NKlCiBRYsWYeTIkfK0e/fuISAgAK6urmIUUzABAQHo3r07IiIiULFiRbGLU6x8/PgRhw4dgpeXF4KCgpCeno7Pnz/ne79v3ryBjY0N/ve//2WZksze3h7bt29Hu3bt8N9//wEAypUrh4sXLxaJ6XAYK2rCwsJw4MABxMfHw8zMDM7OzihbtqzYxWKM5YGirvHF0cuXLzFq1CgEBATI2zWZD+dkTitbtmxZuLu7o3///mIWlf2kGzduYPXq1TA1NcXUqVOzjKgvSjIyMjB48GB4e3tnaZtLJBJYWVnB398fBgYGAIBhw4bBxMQECxYsEKu4jOXo8+fP6N27N/z9/eXnsY6ODk6ePAkdHR1069YNkZGRAIABAwZg+/btPKK+kOjfvz9u3ryJe/fu5ZrXysoKlpaW2LZtmxJKxhjLD+7oKEBsbGx+Kj8RITg4WLD46enpCA0NRVxcHAwNDdGwYUOlTFl16dIluLm5wdTUFPPnz0elSpUUHjMkJASLFy/G5s2bUapUKYXHYzmLjY1FUFAQBgwYIMj+0tPTcfjwYYSFhUFFRQUtWrSAnZ0dgC+N1FOnTiE5ORm2trbQ1tYWJKYYMqdg+xmenp4KKIlyxMfH4/nz57CwsICWlpbYxSmSZs+ejT179uDSpUswMjLKsm3fvn1ISkrK9jeFfYoNMa49rGgSu/1WUAl9jRfD2bNnYWZmhgoVKvwwX3x8PF69eoXKlStDU1NT0DLwFJVFj7+/P3r27AkDAwOoqqpi0aJFv9S2KyxCQ0Nx8uRJxMXFwcDAAFZWVmjbtq3YxSpSilObRqxjDQ4OxrVr16Cvr4/u3bvLp0H+/PkzHj16hBIlShT6qZGLGzMzM/Tv3x+LFy/Okh4XF4fTp0+jV69eUFVVBQBMnz4dR44cwe3bt8UoKmPsJ3BHRwFSt25dfPtxfPz4EREREbC0tIRMJpOnv3//HlFRUUXiKbnMxr65uTmeP3+OKVOmYMaMGTwskLHv0NfXz1ZXZGRkIDk5Odt0a+np6UhJSSnUdcWoUaOwf/9+PHv2LNcbSPb29mjYsGGWOcx/1Y4dO9CgQQP51ELf8+rVK8yYMQMODg5o3759vuOKoWHDhjA3N8fevXuzbRs2bBg8PT2zTPNHRPk6p54+ffrTfyP06Du+9jChFNf2W3Egk8mgq6sLf39/tGrV6rv57t27h1q1amHNmjUYM2aMEkvICiN/f3/06NEDd+/eha+vL5YtW4aaNWti7dq1PHUh+yXFqU1TnI6VKZaWlhZWr16dbY3P06dPw9bWFnFxcfIprTZt2oTp06fLF6FnjBVcUrELwP7PzZs3cevWrSyvrVu3AgDOnTuXJX3JkiUil1ZYRITjx49j48aN2LZtG6pXr459+/aJXSzGCqT379/jw4cPWV6BgYEAvszz/3V6URhee+7cOfTr1y9bJ8enT58QExOTJa106dLw9/cXJO7QoUPztK9SpUrB19cXe/bsESSuGCIiItCoUaMct9nY2EBHRwchISEICQkRZFqJypUrw8zM7KdeisDXHiaE4tx+Kw7S09PRsWNH+Pn5fTePpaUlbG1tBbv+sOJBU1MTs2fPRnh4OKpWrQorKysMHToUsbGxYheNFULFqU1TnI6VKY6KigoSEhKypWd2ZiQnJ8vTpFKpfJ1XxljBxh0dhVRRHIgjkUgwaNAghIeHY+DAgRg8eDDatWuH//3vf2IXjbEC73t1QlGoK6KiolC9evVs6efPn4exsTHi4+PladWrV8fjx4+VWTzIZDI0aNBAvgZMYZSUlAR9ff0ct+np6SExMRFVq1ZFgwYNBJsiYMCAAVixYkWW18iRIyGRSDB//nx5moODgyDxvoevPUyZikKdXNwsX74cLVq0kK/59T0dOnTgKS3YLzExMcGuXbtw6dIl3L9/H9WqVcPKlSuRnp4udtFYIVOc2jTF6ViZYlSrVg3Hjx/Plh4UFATgy3TnmS5duoQqVaoorWyMsV/Hk7oWcJlDMF+/fi0fNgdAPsdpUaSlpYUFCxZgxIgRcHV1RYMGDeDi4oIFCxZ890YcY8Vd5no679+/z1JXvHv3rtAvcvnp0ydIpdn75VNSUgAgy40AXV3dHJ/M+VW7d+/GlStXcs337NkzvHjxQrC4ymZsbIzQ0NAct4WGhkJNTU3w9VE6deoER0fHLGmnT5/G5s2bMWrUKPl57O3tDW9vb0Fj54SvPUxIxbH9VlTp6enh6NGjcHJywrBhwxAXF4epU6fmmC8xMVGEErLCInPaxswRG1FRUVm2lylTBt7e3vDy8sKcOXOwdetW3L17V+nlZIVfcWrTFKdjZcIaOHAgJk2ahHHjxmH48OHQ1NTE/v37cfPmTTRu3BhjxozBkydP8PTpU+zatQurVq0Su8iMsTzgjo4CzsLCAlKpFBs2bMDq1asBfBlCt3PnzkLfo3z27FkAkD91cfnyZURGRmbJ4+Liglq1amHp0qXYs2cPD+Vm7DvMzMwgkUiwd+9e+foURIQDBw4obNofZalYsWKWJ2oyXb9+HQAQHh6OMmXKAPgyT7qpqalgsWNjY5GampprPplMlutitQVZly5dsHnzZnTv3h2dOnWSp1+8eBHu7u6ws7PLsbOpMOJrD1OGotx+K45UVVWxd+9ejB07FtOmTcPDhw+xfv16+SKlAHD8+HGYm5uLWEpW0FWuXFk+qksikfxw3ReJRIL79+8rq2iskCpObZridKxMOcaOHYszZ85gw4YNWL9+PQBAR0cHJ0+ehI6ODrp16wZXV1cAX0aijx49WsziMsbyiDs6CjgjIyN07twZa9euxYULF1ClShVcuXIFz58/L/Rz77dt2xZEBIlEAolE8t3pSTIXwOWn5Bj7PhMTE7Ro0QKzZs1CSEgIzM3NERwcjGvXrmHFihViFy9funTpgjVr1qBLly7o3bs3gC8/bg4ePAhTU1NMnz4da9aswdOnT+Hh4YEhQ4YIFnvy5Mlwc3MTbH8F1ezZsxEYGIguXbqgYcOGqFy5MqKionD16lUYGRnB3d09S/6vFyYvbPjaw5ShKLffirN169ahXLlymDVrFi5evIiJEyfC2NgYhw4dwsGDB7Fhwwaxi8gKsOXLlwMA7ty5A09PT7i5ufEIL5YvxalNU5yOlSmHVCrFoUOH5L+Z9fX10b17d5QuXRoA8PDhQzx69AglSpSQpzHGCj4J8WTBBd6bN28wbNgwHDlyBBkZGdDW1sbYsWOxcOHCQn2z6eDBgwC+zH24dOlSbNy4EaVKlfrh3/Tq1UsZRWOsUIqMjESvXr1w8+ZNeVq/fv2wfft2qKmpiViy/Hnz5g2aNGmCJ0+ewMDAABoaGnj58iX++ecf6OrqYsCAAUhPT4dEIoG5uTkuXrwIIyOjfMeVyWSYP39+sejoAL5MqbN48WL8+++/iIuLg6GhIWxtbeHm5oZy5crJ86WlpeHdu3f5avDLZDLs3Lkzx6mrbG1tERcXl2XqKicnJ3z+/PmX432Nrz1MWYpq+604+V5ddfz4cYwdOxZPnjyRpw0aNAjbtm0rMqPfmOIEBASgR48eePLkCSpWrCh2cVghVpzaNMXpWBljjP06HtFRCBgaGuLQoUNISUnBu3fvUKpUKbx58wbnzp1D69atxS7eL8tseKioqEAikaBjx47c2GcsHypVqoSwsDA8fPgQ8fHxqFSpEsqWLSt2sfLN0NAQISEhWLNmDUJCQqCvrw9HR0f5FEv/+9//EBwcjBIlSqBr167Q1NQUJK6zszPq1q0ryL4Kg1KlSmHlypVYuXLlD/Opqakp9KkmRd8A5msPU5ai2n4rTubMmYM6depkS7ezs8ODBw8QEhKC169fw9LSEpUrVxahhKwwatOmDa5fvw4TExOxi8IKueLUpilOx8oYY+zX8YiOQkroJ1zFlJGRgY8fP0JXV5efcGSMsWJg6NChGDFiBJo1a5YlPTExEXfv3kXDhg0hk8kAfFl3JSAgQD5HrlD42sPEUJTab4wxxgqG4tSmyTxWPT09sYvCGGOsAOIRHUx0MpmMGyqM/YR58+b99N/MmTNHASVh7Nf8888/Oabr6OigSZMmWdIsLS1haWkpeBn42sMYY4yxoqA4tWmK07Eyxhj7edzRwUTj6+uLPXv2YPPmzbnOr/nvv/+iYsWKqFGjhpJKx1jBvYP+swAAHOdJREFUNX/+fPlifN/KKZ2IikRHR0xMDPz8/BAaGoro6GgkJydDR0cHFhYWaNeuHezs7AR9im3v3r04fvw4li1blm3Nj6ioqByfyC6sQ+hlMhl+doBnYX0ifd26dTh06BD27t2b7XO9fPky0tLSsv0NTzPEWPEUFBSEwMBAuLm55br20+3bt2FkZARjY2MllY4xxvLm06dPiI6OhpGREbS1tcUuTr7cuHEDvr6+3/094OjoCF1dXbGLyRhjTCQ8dVUhVRSmPrCzs0NGRgZOnTqVa95OnTpBR0cHvr6+SigZYwWbTCbDhg0b0KdPnyzp58+fR8+ePfHgwQP5Qs4HDhzAyJEjC3VdAQB//fUXFi5ciNTUVHlnRublSyKRgIhQs2ZN7Nq1C/Xq1RMkpo2NDT5//oyzZ89m2/bbb7/h+PHj2dIL6/s8YcKEPHV0vHjxAseOHUNycvIvHWvZsmXRqlUrtG7dGjo6OnB2dv6V4uZL8+bNUbJkSQQGBmbb1rdvX+zfvz9bemH9XFnBUxTab8VJ9+7d8fLlS/z333+55m3bti1MTEywe/duJZSMMcYAMzMzTJkyBWPGjPlhvtjYWJQtWxZ//vnnL40MLwgyMjIwcuRI/PPPP9kebNLU1ISqqio+fPiA0qVLY8eOHejQoYNIJWWMMSYmHtFRgNSuXTvPed+/f6/AkijH7du34eLiki09PDwcq1atgru7O7S0tAB8uTG1fft2JZeQsYJLR0cHhoaGWdIyn14yNDSUbyvsT20BwIYNGzBnzhxYW1tjyJAhKFeuHGJiYrBnzx5cvXoVvr6++PTpE+bNmwcbGxuEhoYKsijsvXv3MHr06By39ezZE5cuXZKPlAkLC4O3t3e+Y4pl9erV39327t077N+/Hz4+Pjh37hz09PTg6Oj4S3G8vLzg5uaG8ePHg4hE6eh49OgRunbtmuO2Tp064fjx4/D09AQAXLhwAX///bcSS8cKo+LWfitOwsLCMGTIkGzpUVFR8Pb2xoQJE6ChoQEAaNGiBfbt26fsIjLGirFnz57h3bt3ueYrXbo0KlasmKdO24Jq0aJF8PT0hKOjI4YNG5bl98D27duxf/9+mJqaws3NDd26dcOlS5fQoEEDsYvNGGNMybijowApXbp0nqcOKQpPAsbHx6NcuXLZ0p8/f47Nmzfjr7/+knd0mJiY4NWrV8ouImOsAFi7di1sbW2zjaBwcnLCoEGDMHXqVFy7dg1t2rRBw4YNMWvWLEE6Hd6+fQsTE5Mct5UrVw4JCQlwcXGBlpYWvL29C3VHx7dSUlLg7+8Pb29vHDt2DCoqKujatSsOHjyI3377DSoqv9Z8aNeuHdq1a4eTJ0/i5cuXApc6bzKf9suJkZEREhIS0KFDB+jo6CAlJUXJpWOFUXFrvxUncXFxqFChQrb0hw8fYsaMGfj999/lHR0VKlRAdHS0sovIGCvmXrx4gdDQ0FzzVa5cuVB3dHh6eqJPnz7YtWuXPM3CwgLW1tZQVVXFmDFjcP/+fezbtw9WVlaYO3cu/P39RSwxY4wxMXBHRwESFBSU57w+Pj6//ERtQaGrq5tj50Xmj8T379/Lp99JSkqSd3owxoqXiIgIjB8/PsdtPXv2xO7du5GcnAxNTU0MGjQIK1asECRuiRIlEBERkeO2J0+eQCKRQFVVVZBYBcWtW7ewYsUKHD58GGlpaWjfvj3++ecf9OjRQ9A6uH379oLt62eVKlUKd+7cyXHb3bt3IZPJoKmpqeRSscKsuLXfihMNDQ28efMmW3pcXBwAIDExUd5W/fTpE2QymVLLxxhjmzZtwqZNm3LNlznVa2EVHR393TXTWrdujdWrV8vvGfTr1w/z589XcgkZY4wVBNzRUUgV5kZKpoYNG8LLywvTpk3L8nSwr68vpFIp/Pz8MGnSJBARDhw4wAuRM1ZMlS1bFjdu3Mhx282bN6GmpgZ1dXUAQMmSJZGQkCBI3FatWsHDwwOjR4/OMvrs7du3WLlyJRo2bFjkOjoOHz4MLy8vtG7dGjt27ICpqanYRRKcra0ttmzZgsGDB6Nu3bry9MePH2PFihVo2bIl36xkClMU2m/FSZ06dXDgwAG4urpmSc9c4yc4OFg+Bd/JkydRtWpVpZeRMVa89erVC926dRO7GApXsWJFnDlzBqNGjcq2LTg4GNra2vIHVXhULmOMFV/c0cFEM378eHTr1g1NmzaFs7MzNDU1sX//fujq6qJ3795wdXXFmTNnEBUVhZs3b/LQU8Zyoa2tjerVq2ebVujbBfsKm8GDB2PBggUoWbIkhg8fDhMTE8TGxsLb2xuLFi1C7969IZVKAXyZq7h8+fKCxHVzc0NgYCDq1KmDIUOGoEqVKoiKioKnpyfi4uLg4eGRJX9hf58BwM7ODiEhIThx4gRq1KiB7t27w8HBAXZ2dkXm5v/s2bMREBCAJk2aoGvXrvLP1c/PDwCwfPnyLPmLwufKGPs1w4cPx+DBg9GtWzf8/vvv8rZqTEwMbG1tMXbsWFy7dg1Pnz5FYGAgryfHGFO6+vXrY9CgQWIXQ+HGjh2LiRMnwsHBIdvvgc2bN8PFxUXeZnv8+LEg6/UxxhgrhIgVSl5eXiSVSsUuRr79/fffpK2tTVKplKRSKTVp0oRiYmLo3bt3NHDgQDI2NiZLS0vasmWL2EVlrMA4e/YsxcbG5ilvamoqxcTEKLhEipWenk5OTk4klUpJIpHIX1KplKytrenNmzfyvEOHDqVZs2YJFvvcuXNUv359eR0llUrJ0tKSjh49miXfs2fPaO/evYLFFVt8fDxt2rSJWrZsSTKZjEqXLk1jxoyhixcvil00Qdy/f5969uxJWlpaJJVKSUNDg3777Te6ceNGlnzx8fF09epVkUrJiqKi0n4rTiZOnEgymUx+3alQoQKFh4fT8+fP5XWkrq4uubm5iV1UxlgxI5VK6a+//hK7GEoza9YsUlNTy/Z7wMHBgVJSUuT5pk2bRmvXrhWxpIwxxsQiIeIx9ExcSUlJuHv3LvT19WFhYSF2cRhjBVRoaChOnjyJuLg4GBgYwMrKCm3btlVK7JiYGMTFxcHQ0PC7C5QXVVFRUfDx8YG3tzdu3boFMzMz9O/fHwsXLhS7aIJITEyEtrY2j9xgjH3XkydPEBYWBn19fbRq1Uo+XSIApKamQk1NjesQxpjSPXv2DAYGBtDV1RW7KErz6tUrBAcHy38PNG/eHFWqVBG7WIwxxgoI7uhgjDHGirl58+blKd+dO3dw5MgRJCcn4/PnzwouFWOMMcYYY4wxxljecEcHKzBevnyJ6OhoJCcnQ0dHB1WqVClWT6cwxphYfmX9jYyMDAWURPHi4+Px/PlzWFhYQEtLS+ziMMYYY4z9kvfv3+Pdu3coW7ZslpFmRVlYWBjCw8NRunRptG7dOksbNiUlBaqqqkVmXTnGGGM/jzs6mKhiY2OxePFi7N27F69evcqyTSKRoEmTJpg0aRL69u0rUgkZY2I7e/YszMzMUKFChR/mi4uLw4YNG9CpUyc0btxYSaX7wtvbG05OToV2lMObN29++m8MDQ1/Od6dO3ewadMmDBw4EE2aNMmyLTY2Fv/88w+ePn2KypUr4/fff4eBgcEvx/rWqFGjsH//fjx79gyampo/zGtvb4+GDRtixowZgsVnjBUeT58+hYGBAfT09H6Y7927d/Dz80Pz5s1RtWpVJZWOMVbcOTs7IyAgAM+ePYOOjk6WbW5uboiOjs72N56ensoqnqBSU1PRrVs3nDx5EhKJBESEWrVq4dSpU0hMTISjoyOuXr0KTU1NuLi4YMWKFTylIGOMFUPc0cFEExkZiRYtWuDVq1cwNTVFuXLlEBMTg4iICBgaGmLAgAEICQnB1atXMWjQIHh6enJjhbFiSCqVYsGCBXBzc/thvtTUVOjr62Po0KHYsGFDvuOGh4fn+YZVYe/oULbp06fDw8MDz58/zzKqIiYmBnXq1EFcXBxUVFSQkZGB8uXLIzQ0FEZGRoLErlmzJmxsbLBu3bos6Z8+fcKbN29QpkwZedro0aNx/fp1XL58WZDYjLHCRSqVYv78+Zg1a9YP8338+BElSpTA2LFjsWrVKiWVjjFW3FWrVg22trZYv359tm0zZ87EsmXL5O2s9PR0pKSkFNq26sKFCzF79mw4Ozujf//+kMlk8Pf3x7t373Dnzh2Eh4dj8ODBiI2Nha+vLzZs2AAXFxexi80YY0zJpGIXgBVfU6ZMwcePH3HixAlERkbi4sWLePToEa5evQpVVVXo6uri8uXLOHz4MHx8fLBp0yaxi8wYE0FeOzjV1dVRp04d/Pfff4LEtbS0RKNGjbBq1apsI86KuocPH8Lf3x9eXl7w9/fHo0ePBN1/UFAQevbsmW3qqPnz5yMuLg7bt29HWloaLl26hMTERCxYsECw2FFRUahevXq29PPnz8PY2Bjx8fHytOrVq+Px48eCxWaMFS4SiSRP1yBtbW3UqFFDsOsPY4zlRXR0dI5tGgBo0KABNDQ08O7dO3z48AHbtm1TcumEtWfPHvTo0QP//PMPOnTogHbt2mH16tXQ19dHWFgYNm3ahDVr1mDPnj0YNGgQNm/eLHaRGWOMiUBF7AKw4isoKAiTJk1Cu3btsqQ3atQIc+fOxZQpU/DXX3+hW7duGDRoEDw8PDBq1CiRSssYE1NgYGCeOhsSEhIEuzH9xx9/wMfHB1OmTMHUqVPRpk0bODo6wt7evsiuH+Tt7Y358+cjPDw827aqVatizpw5GDBgQL7jREZGYsiQIdnSDx06hOrVq2PQoEEAgKZNm2Lo0KEIDAzMd8xMnz59glSa/TmPlJQUAF+eeMykq6uLhIQEwWIzxgqfixcvwt3dPdd8KioqCAsLU0KJGGPsix+tl/b582ckJSXh48eP0NXVRWGfyCMiIgJjx47Nlt6uXTusW7cOLVu2lKdZW1vjwIEDyiweY4yxAoI7OphoPn369N05j/X09JCYmIjk5GRoaWmhefPm8PLyUnIJGWMFxX///af0J2WXLVuGZcuW4ezZs/Dy8sL+/ftx5swZjBkzBp06dYKjoyM6d+4MNTU1pZZLUSZNmoTVq1fD0NAQQ4cORZ06deQ3+m/duoXDhw/D0dERoaGhWLFiRb5iffjwIdv79ujRI8TExKBHjx5Z0qtXr57jlAy/qmLFiggJCcmWfv36dQBfpizLnL7q3r17MDU1FSw2Y6zwOXbsGI4fP56nvIX9RiJjrHAxNzfHsWPHMG7cuGzbjh07BgMDgyLzcI6amlqOa45kPgj19u1beZvt3bt30NbWVmr5GGOMFQw8dRUTjZWVFTZv3ozXr19nSf/48SNWr14NMzMz+bQmHz9+zDbFCWOs+Jg/fz4yMjLy/BJS69at4eHhgZiYGBw4cACdO3fG0aNH0bt3b5QtWxa///57jjfOC5OAgACsWbMGjo6OePr0KbZu3Yrx48djyJAhGD9+PLZu3YrIyEgMGDAAK1euzPcIi1KlSuHu3btZ0o4fPw4iQqtWrbKkx8fHC/ojvUuXLvDy8srypN/ly5dx8OBBmJqaYvr06QgNDcXBgwfh4eGBzp07CxabMVb4/PHHH4iIiMjTKzIyUuziMsaKEScnJ/z7779wdXVFYmIigC8jVBcvXozt27cLMgq3oGjVqhXWrVuXZeTco0ePsGTJElSpUgULFizAx48fERkZiU2bNqFBgwYilpYxxphYeDFyJpqwsDC0atUKKioq6NatG8qVK4fY2FgEBAQgPj4ee/bsQZ8+fQAAQ4cOxdOnTxEUFCRyqRljyiaTyTB//vxcFyNXpg8fPuDAgQPw8vJCcHAwiAhEVGgXeOzYsSNiY2Nx7dq1HKd1ykREaNiwIcqUKYN///33l+MNGDBA/pR0kyZNEBERgdatWyM2NhaxsbFZRvs5OTnh4cOHuHr16i/H+9qbN2/QpEkTPHnyBAYGBtDQ0MDLly/xzz//QFdXFwMGDEB6ejokEgnMzc1x8eJFwRZCZ4wVLgXx+sMYY5kyMjLQvXt3eZvMyMgI8fHxICK0aNEC//77r3xkw5EjRzB16tRsD5oUFrdu3ULLli3x8eNHVKtWDaqqqrh37x6qVKkCPz8/WFtbIz4+Hp8/f4aKigrOnj2L5s2bi11sxhhjSsYdHUxU//vf/zBz5kwEBQUhJSUFqqqqaNKkCWbNmoUOHTrI8wUFBaF06dKoXbu2iKVljImhbdu2GDp0KJycnMQuSo6io6OxZ88eHD9+PM/TmxQ0RkZGmDFjBv74449c865YsQJLlizJNhrvZ9y8eRNWVlZITk5GyZIl8fbtWxAR5s2bh1mzZsnzJSYmonz58nBxccGSJUt+Od633r59izVr1iAkJAT6+vpwdHREp06dAHyZuio4OBglSpRA165doampKVhcxljhUrlyZfzxxx8YM2aM2EVhjLHv8vf3x7///ou4uDgYGhrC1tYW9vb2P3x4pTB6+PAhVq9ejbCwMKioqKBFixaYOnUqDA0NERkZiS1btiApKQmOjo5o1KiR2MVljDEmAu7oYAVGQkICtLW1i1yDjDHGCjotLS2sW7cOQ4cOzTXvP//8gzFjxiA5OTlfMa9du4ZFixbh/v37MDY2hqOjY7b4aWlpePXqFYyMjHj6QsYYY4wxxhhjjH0Xd3QwxhhjxVy1atVga2ubp0W/x44di5MnT+LBgwdKKBljjDHGGGOMMcZY7vjRecYYY6yY69GjBzw9PREaGvrDfNeuXcO2bdvQrVs3JZWMMcYYY4wxxhhjLHc8ooMxxhgr5t68eYP69evjzZs3cHV1hbOzMypUqCDf/vTpU+zcuRNLly6FgYEBbt68CUNDw3zFJCIEBATg6NGjePr0KVJSUn6YNzg4OF/xGGOMMcYYY4wxVnRxRwdjjDHG8OjRI9jb2+P27dsgIujp6UFXVxcJCQn48OEDJBIJateujX379sHCwiJfsT59+oSuXbvixIkTUFNTg6mpaa6Lft+6dStfMRljjDHGGGOMMVZ0cUcHY4wxxgAAGRkZOHjwIAICAnD37l0kJCRAT08PlpaW6NKlC+zt7SGV5n/WywULFmDu3LlYtWoVRo4cCXV1dQFKzxhjjDHGGGOMseKKOzoYY4wxplQ1a9ZEvXr14OXlJXZRGGOMMcYYY4wxVgTwYuSMMcYYU6qIiAhYWVmJXQzGGGOMMcYYY4wVEdzRwRhjjBVzMpkM9erVQ0xMzA/znTt3DqVKlcLBgwfzFU9FRQVJSUn52gdjjDHGGGOMMcZYJu7oYIwxxhhu374NKysrPH78+Lt5WrVqhXLlysHX1zdfsWrXrg0/Pz/w7JmMMcYYY4wxxhgTAnd0MMYYYwyurq5IS0uDtbU1bt68+d18PXr0QEhISL5ijRs3DpcvX0bv3r1x8uRJREVFIT4+/ocvxhhjjDHGGGOMse9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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gene_effect_heatmap(br_mt, br_wt, genes, name = None)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abe1f862", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/deseq_setup.ipynb b/notebooks/deseq_setup.ipynb new file mode 100644 index 0000000..2e65bef --- /dev/null +++ b/notebooks/deseq_setup.ipynb @@ -0,0 +1,362 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "163bb85c", + "metadata": {}, + "source": [ + "# CanDI and DESeq2\n", + "Let's say I want to look at changes in RNA expression across some cell lines in CCLE. DESeq2 is my preffered tool for doing differential expression analysis, unforutantely it's written in R. CanDI makes it easy to format CCLE read counts data into the shape that DESeq2 expects." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "72858c31", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import anndata as ad\n", + "import CanDI.candi as can\n", + "\n", + "from CanDI.pipelines import diffexp" + ] + }, + { + "cell_type": "markdown", + "id": "319b94c2", + "metadata": {}, + "source": [ + "#### Object Instantiation\n", + "For this example I'm going to do differential expression analysis across male and female KRAS mutant cell lines. The cell below uses CanDI to generate the correct CellLineCluster objects for our purpose." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ddd21097", + "metadata": {}, + "outputs": [], + "source": [ + "if type(can.data.mutations) != pd.DataFrame:\n", + " can.data.load('mutations')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e3794753", + "metadata": {}, + "outputs": [], + "source": [ + "lung = can.Cancer(\"Lung Cancer\", subtype = \"NSCLC\")\n", + "lung = can.CellLineCluster(lung.mutated(\"KRAS\", variant = \"Variant_Classification\", item = \"Missense_Mutation\"))\n", + "\n", + "lung_male = can.CellLineCluster(list(lung._info.loc[lung._info.sex == \"Male\",].index))\n", + "lung_female = can.CellLineCluster(list(lung._info.loc[lung._info.sex == \"Female\"].index))" + ] + }, + { + "cell_type": "markdown", + "id": "5aae975f", + "metadata": {}, + "source": [ + "#### Data Munging\n", + "The follow function takes two objects that we want to compare and automatically generates the counts and coldata matrices that DESeq2 needs to run. It's typically a good idea to filter our genes/transcripts with consistently low counts prior to running DESeq2. This speeds up analysis and avoids issues related to read count scaling and multiple hypthothesis testing corrections. In this case we don't care about different splicing of the same genes so I sum counts for duplicate indeces for all samples. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "29d9ab4c", + "metadata": {}, + "outputs": [], + "source": [ + "if type(can.data.rnaseq_reads) != pd.DataFrame:\n", + " can.data.load('rnaseq_reads')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c697995d", + "metadata": {}, + "outputs": [], + "source": [ + "def make_counts_coldata(obj1, obj2, condition, factor1, factor2):\n", + " \n", + " counts1 = obj1.rnaseq_reads\n", + " coldat1 = pd.Series(counts1.shape[1] * [factor1], index = counts1.columns, name = condition)\n", + " \n", + " counts2 = obj2.rnaseq_reads\n", + " coldat2 = pd.Series(counts2.shape[1] * [factor2], index = counts2.columns, name = condition)\n", + " \n", + " #Concatenate Column Data\n", + " coldat = pd.concat([coldat1, coldat2], axis = 0)\n", + " #Concatenate read count data \n", + " counts_mat = pd.concat([counts1, counts2], axis = 1)\n", + " #Sum duplicate indeces\n", + " counts_mat = counts_mat.groupby(counts_mat.index).sum().astype(int)\n", + " \n", + " adata = ad.AnnData(\n", + " counts_mat.T,\n", + " obs = coldat.to_frame()\n", + " )\n", + "\n", + " return adata" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fe08e848", + "metadata": {}, + "outputs": [], + "source": [ + "adata = make_counts_coldata(lung_male, lung_female, \"sex\", \"male\", \"female\")" + ] + }, + { + "cell_type": "markdown", + "id": "d148ea96", + "metadata": {}, + "source": [ + "#### Running pyDESeq2\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ceb0a995", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Fitting size factors...\n", + "... done in 0.05 seconds.\n", + "\n", + "Fitting dispersions...\n", + "... done in 1.39 seconds.\n", + "\n", + "Fitting dispersion trend curve...\n", + "... done in 0.58 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 1.42 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 2.28 seconds.\n", + "\n", + "Replacing 5676 outlier genes.\n", + "\n", + "Fitting dispersions...\n", + "... done in 0.28 seconds.\n", + "\n", + "Fitting MAP dispersions...\n", + "... done in 0.28 seconds.\n", + "\n", + "Fitting LFCs...\n", + "... done in 0.36 seconds.\n", + "\n", + "Running Wald tests...\n", + "... done in 1.64 seconds.\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Log2 fold change & Wald test p-value: sex male vs female\n", + " baseMean log2FoldChange lfcSE stat pvalue padj\n", + "gene \n", + "A1BG 200.696432 0.027944 0.671884 0.041591 0.966825 0.994527\n", + "A1BG-AS1 255.912479 0.202698 0.626175 0.323708 0.746159 0.950009\n", + "A1CF 12.057056 -1.367054 0.537503 -2.543342 0.010980 0.236614\n", + "A2M 18.685828 0.365012 0.619866 0.588857 0.555957 0.902738\n", + "A2M-AS1 49.283425 -0.266289 0.618898 -0.430264 0.667004 0.933027\n", + "... ... ... ... ... ... ...\n", + "ZYG11AP1 0.038949 0.057154 3.391294 0.016853 0.986554 NaN\n", + "ZYG11B 2200.470135 -0.200760 0.214134 -0.937546 0.348478 0.816844\n", + "ZYX 11155.922014 0.206356 0.377946 0.545994 0.585070 0.912754\n", + "ZZEF1 4400.173132 -0.483351 0.222239 -2.174911 0.029637 0.362384\n", + "ZZZ3 3532.326301 -0.212461 0.170959 -1.242756 0.213958 0.722301\n", + "\n", + "[52443 rows x 6 columns]\n" + ] + } + ], + "source": [ + "results = diffexp.run_deseq(\n", + " adata,\n", + " design = 'sex',\n", + " tested_level = 'male',\n", + " ref_level = 'female'\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "275e042d", + "metadata": {}, + "source": [ + "#### Analyzing Results\n", + "Now we can read the results of the differential expression analysis back into our python enviroment and continue analysis as necessary. Looking at the genes with the lowest adjusted p-value we see that XIST is the most significant differentially expressed genes. XIST is a lncRNA responsible for X inactivation in females so this a good positive control for our analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f72ee6cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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baseMeanlog2FoldChangelfcSEstatpvaluepadj
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XIST4041.971706-7.1450070.710899-10.0506609.125401e-242.692176e-19
RPS4Y16613.0444278.7231931.0315808.4561442.763634e-174.076636e-13
CEACAM510444.137420-7.2828570.892029-8.1643743.231066e-163.177430e-12
DDX3Y1195.3885097.6428640.9839167.7678057.985781e-155.889913e-11
GJB158.891176-5.6237150.752347-7.4748967.726502e-144.558945e-10
\n", + "
" + ], + "text/plain": [ + " baseMean log2FoldChange lfcSE stat pvalue \\\n", + "gene \n", + "XIST 4041.971706 -7.145007 0.710899 -10.050660 9.125401e-24 \n", + "RPS4Y1 6613.044427 8.723193 1.031580 8.456144 2.763634e-17 \n", + "CEACAM5 10444.137420 -7.282857 0.892029 -8.164374 3.231066e-16 \n", + "DDX3Y 1195.388509 7.642864 0.983916 7.767805 7.985781e-15 \n", + "GJB1 58.891176 -5.623715 0.752347 -7.474896 7.726502e-14 \n", + "\n", + " padj \n", + "gene \n", + "XIST 2.692176e-19 \n", + "RPS4Y1 4.076636e-13 \n", + "CEACAM5 3.177430e-12 \n", + "DDX3Y 5.889913e-11 \n", + "GJB1 4.558945e-10 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results.sort_values(\"padj\").head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cde84608", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/get-started.ipynb b/notebooks/get-started.ipynb new file mode 100644 index 0000000..1be7670 --- /dev/null +++ b/notebooks/get-started.ipynb @@ -0,0 +1,568 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Getting Started" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's go over basic functionality and use cases of CanDI package. \n", + "\n", + "### Importing\n", + "\n", + "CanDI must be imported from from the main CanDI directory. The core CanDI objects are contained within the CanDI.candi module and are imported as follows. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import CanDI.candi as can\n", + "#Can also be imported as \n", + "from CanDI import candi as can" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Object\n", + "The Data object is instantiated when CanDI and access as data within the candi module\n", + "CanDI dataset paths are defined as attributes within the Data object." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(can.data.gene_effect) # depmap ceres score\n", + "print(can.data.expression) # ccle rna seq data\n", + "print(can.data.gene_cn) # ccle copy number data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## How to Directly Load a Dataset\n", + "The load method of the Data object is used to load specific datasets into memory. The datasets are saved as pandas dataframes as attributes of the data object. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "can.data.load(\"expression\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cell Lines\n", + "The Cell Lines dataset contains all cell line metadata. This table is loaded automatically when candi is imported." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "can.data.cell_lines.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Genes\n", + "The genes dataset contains relevant gene metadata. \n", + "The genes dataset is loaded into memory automatically when candi is imported. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "can.data.genes.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Locations\n", + "The locations dataset contains location annotations for all genes and their associated confidence scores. Confidence scores were crowd sourced from several protein localization papers and integrated into one scale. This dataset is automatically loaded into memory when candi is imported. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "can.data.locations.head(5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Basic Object Instantiation\n", + "- The user input for object instantiation is used directly for indexing\n", + "- This means if it is misspelled candi will not be able to retrieve the data in which the user is interested\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras = can.Gene(\"KRAS\")\n", + "lung = can.Cancer(\"Lung Cancer\")\n", + "membrane = can.Organelle(\"Plasma membrane\")\n", + "a549 = can.CellLine(\"A549\") " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Gene Object Methods and Attributes\n", + "The following function prints the internal attributes and functions of CanDI objects. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def pretty_print_attr(obj):\n", + " attr = []\n", + " ls_attr = []\n", + " meth = []\n", + " for i in dir(obj):\n", + " if \"_\" != i[0]:\n", + " if type(getattr(obj, i)) == str or type(getattr(obj, i)) == int:\n", + " attr.append(i)\n", + " elif type(getattr(obj, i)) == list:\n", + " ls_attr.append(i)\n", + " else:\n", + " meth.append(i)\n", + " \n", + " print(\"Attributes:\\n\")\n", + " for i in attr: print(i+\":\", getattr(obj, i))\n", + " for i in ls_attr: print(i+\" list first item:\", getattr(obj, i)[0])\n", + " for i in ls_attr: print(i+\" length:\", len(getattr(obj, i)))\n", + " print(\"\\nMethods:\\n\")\n", + " for i in meth: print(i)\n", + "\n", + "pretty_print_attr(kras)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Gene Indexing examples\n", + "If a dataset has not be loaded into memory candi will prompt you.\n", + "Once a dataset is loaded, Gene.expression gives all the rna seq transcript data for that specific object.\n", + "In this case we have already instantiated a gene object" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.expression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Basic CanDI filtering\n", + "the Gene.expressed() method retrieves cell lines where the user defined gene has above 1 transcript per million\n", + "the output is a list of cell line ids which can be used to instantiate CellLine or CellLineClbbuster objects\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.expressed()[0:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The user can specify if they want the tpm values with the depmap ids " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.expressed(style=\"values\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you input a depmap id as an argument to gene.expressed you will get a boolean showing the expression status of your gene" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.expressed(a549.depmap_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The user can use the gene.expression_of() method to check that gene's expression in a specific cell line.\n", + "This method only, when called from a Gene object, accepts cell line depmap id's as an argument." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.expression_of(a549.depmap_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "CanDI is consistent in the way this works across all classes and data types" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.mutations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The gene.mutated() method allows very specific filtering.\n", + "Using the variant argument one can select the column on which to filter. Then using the item argument the user can specifiy the specific value in which they're interested. The example below shows retrieval of all cell lines with kras missense mutations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "kras.mutated(variant=\"Variant_Classification\", item=\"Missense_Mutation\")[0:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Users can use the unload method of the Data object to remove a dataset from memory and return it to a file path string." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "can.data.unload('mutations')\n", + "can.data.mutations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## CellLine Methods and Attributes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pretty_print_attr(a549)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All methods work in essentially same way regardless of the candi object in use.\n", + "The CellLine.expressed() method will return all genes which have expression above 1 transcript per million\n", + "in that specific cell line." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.expressed()[:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Just like gene.expressed() the user can ask for the values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.expressed(style=\"values\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And for specific genes expression status" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.expressed(\"KRAS\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "expressed with style=\"values\" gives the same result as expression_of" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.expression_of(\"KRAS\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.expressed(\"KRAS\", style=\"values\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The CellLine.mtuations attribute gives all mutation data for that specific cell line" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a549.mutations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# calling the CellLine.mutated() method works the same way with all CanDI objects\n", + "a549.mutated(variant=\"Variant_Classification\", item=\"Nonsense_Mutation\")[:10]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Cancer Methods and Attributes\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pretty_print_attr(lung)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cancer objects work essentially works as a group of cell line objects \n", + "the Cancer.expression object returns a pandas dataframe rather than a pandas series since there are multiple cell lines to consider." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lung.expression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cancer.expressed method uses an abitrary threshold to filter genes the default is if a gene is expressed in 100 percent of the cell lines within the cancer object it will read out as expressed" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lung.expressed()[0:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The user can relax this threshold as necessary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lung.expressed(threshold=0.50)[0:10]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lung.expressed(threshold=0.50, style=\"values\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cancer and CellLineCluster objects have an additional method that outputs a binary matrix\n", + "of which genes/cell lines have mutations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lung.mutation_matrix()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Organelle Methods and Attributes\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pretty_print_attr(membrane)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/kras_egfr_scatter.ipynb b/notebooks/kras_egfr_scatter.ipynb new file mode 100644 index 0000000..4653606 --- /dev/null +++ b/notebooks/kras_egfr_scatter.ipynb @@ -0,0 +1,348 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f86433ea", + "metadata": {}, + "source": [ + "# _KRAS_ and _EGFR_ Scatter plot " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "6dfaefa8", + "metadata": {}, + "outputs": [], + "source": [ + "import CanDI.candi as can\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn import cluster, decomposition, preprocessing" + ] + }, + { + "cell_type": "markdown", + "id": "67a24919", + "metadata": {}, + "source": [ + "## Cancer Object Instantiation\n", + "I'm interested in studying non-small cell lung cancer using the data in depmap and ccle. I start by instantiating a cancer object that will allow me to explore the data space of non-small cell lung cancer cell lines. Since I don't want any small cell lung cancer cell lines included I will specify a disease subtype during instantiation. The subtype argument of Cancer object instantiation works by string matching in the lineage_subtype collumn of the cell_lines dataset. Below you can see that we have a variety of cell types within a given lineage subtype." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bc12e739", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Non-Small Cell Lung Cancer (NSCLC), Adenocarcinoma',\n", + " 'Non-Small Cell Lung Cancer (NSCLC), Large Cell Carcinoma',\n", + " 'Non-Small Cell Lung Cancer (NSCLC), unspecified',\n", + " 'Non-Small Cell Lung Cancer (NSCLC), Squamous Cell Carcinoma',\n", + " 'Non-Small Cell Lung Cancer (NSCLC), Adenosquamous Carcinoma',\n", + " 'Non-Small Cell Lung Cancer (NSCLC), Mucoepidermoid Carcinoma'],\n", + " dtype=object)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lung = can.Cancer(\"Lung Cancer\", subtype=\"NSCLC\")\n", + "lung.subtypes" + ] + }, + { + "cell_type": "markdown", + "id": "4479b0bd", + "metadata": {}, + "source": [ + "I want to look at how oncogenic mutations affect global genetic dependencies. Let's choose KRAS and EGFR as our oncogenic mutations. I'm going to make two CellLineCluster objects per oncogene, eight in total. For each oncogene I want to make a CellLineCluster where the oncogene of interest is mutated and another where it is wild type.\n", + "\n", + "__To Analyze KRAS__\n", + "* Lung - KRAS MT\n", + "* Lung - KRAS WT\n", + "\n", + "__To Analyze EGFR__\n", + "* Lung - EGFR MT\n", + "* Lung - EGFR WT\n", + "\n", + "MT = Mutant \\\n", + "WT = Wild Type" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e7d7abe9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Load Complete\n" + ] + } + ], + "source": [ + "#Mutated function automatically ignores silent mutations\n", + "kras_mt_ids = lung.mutated(\"KRAS\", variant=\"Variant_Classification\", item = \"Missense_Mutation\")\n", + "egfr_mt_ids = lung.mutated(\"EGFR\", variant=\"Variant_Classification\")\n", + "\n", + "kras_wt_ids = list(set(lung.depmap_ids) - set(kras_mt_ids))\n", + "egfr_wt_ids = list(set(lung.depmap_ids) - set(egfr_mt_ids))\n", + "\n", + "#Instantiate KRAS Clusters\n", + "kras_mt = can.CellLineCluster(kras_mt_ids)\n", + "kras_wt = can.CellLineCluster(kras_wt_ids)\n", + "\n", + "#Instantiate EGFR Clusters\n", + "egfr_mt = can.CellLineCluster(egfr_mt_ids)\n", + "egfr_wt = can.CellLineCluster(egfr_wt_ids)" + ] + }, + { + "cell_type": "markdown", + "id": "2cc87557", + "metadata": {}, + "source": [ + "## Analyzing Global Gene Dependency\n", + "To see how KRAS and EGFR mutations affect global gene dependency I'm going to plot the average gene effect for every gene of the mutant and wildtype clusters against each other. This if gene effect skews towards wildtype or mutation status for any give gene. The Function below will be used to make this plot. Unless you are interested in specifically how this plot is made you can skip the following cell." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "295b9aba", + "metadata": {}, + "outputs": [], + "source": [ + "def gene_effect_scatter(mt, wt, gene, control, tc1=None, tc2=None, name=None):\n", + " \n", + " #Average Gene Effect for control agnostic groups\n", + " mt_effect = mt.gene_dependency.mean(1)\n", + " wt_effect = wt.gene_dependency.mean(1)\n", + " \n", + " #For Labeling\n", + " mt_lab = mt_effect.loc[[gene, control]]\n", + " wt_lab = wt_effect.loc[[gene, control]]\n", + " \n", + " \n", + " #Make Figure appropriate size, dpi, and font\n", + " plt.rcParams.update({\"figure.figsize\": (8, 8),\n", + " \"savefig.dpi\": 300,\n", + " \"font.family\": \"sans-serif\",\n", + " \"font.size\": 12\n", + " })\n", + " \n", + " #Generate Figure and Axis objects\n", + " fig, ax = plt.subplots(1,1)\n", + " \n", + " #Label Axes\n", + " ax.set_xlabel(f\"{gene} MT Average Gene Effect (CERES Score)\")\n", + " ax.set_ylabel(f\"{gene} WT Average Gene Effect (CERES Score)\")\n", + " \n", + " #Draw Line at median common essential value\n", + " ax.axhline(y = 0.50,\n", + " c = \"black\",\n", + " linewidth=0.5,\n", + " label = \"Minimun Gene Dependencey Probability\"\n", + " )\n", + " \n", + " ax.axvline(x = 0.50,\n", + " c= \"black\",\n", + " linewidth=0.5)\n", + " \n", + " #Plot all genes\n", + " ax.scatter(mt_effect,\n", + " wt_effect,\n", + " c = \"#2166ac\",\n", + " alpha = 0.7,\n", + " s = 50\n", + " )\n", + " \n", + " #Outline Genes To label\n", + " ax.scatter(mt_lab,\n", + " wt_lab,\n", + " c = \"#2166ac\",\n", + " s = 50,\n", + " edgecolor = \"black\",\n", + " linewidth = 2,\n", + " alpha = 0.7\n", + " )\n", + " \n", + " ax.legend()\n", + " \n", + " #Label control agnostic Series\n", + " if tc1:\n", + " for i in range(mt_lab.shape[0]):\n", + " text = list(mt_lab.index)\n", + " ax.annotate(text[i],\n", + " xy = (mt_lab[i], wt_lab[i]),\n", + " xytext = tc1[i],\n", + " xycoords = \"data\",\n", + " arrowprops = {\"arrowstyle\": \"-\"}\n", + " )\n", + " \n", + " plt.show()\n", + " \n", + " if name:\n", + " fig.savefig(name, dpi=300)\n", + " \n", + " return\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "0f2e85af", + "metadata": {}, + "source": [ + "## Note about Gene Effect Scores: Dependency vs Essentiality\n", + "A more negative gene effect means more dependent. A gene effect of -1.0 is the median gene effect of all common essential genes. If a gene has a gene effect of -1.0 or lower it then that gene is essential. A cell line can still be dependent on a gene with a lower gene effect if knocking out that gene slows growth/proliferation. " + ] + }, + { + "cell_type": "markdown", + "id": "50b32d42", + "metadata": {}, + "source": [ + "### Average Gene Effect in KRAS Wildtype and KRAS Mutant Cell Lines\n", + "\n", + "KRAS dependency heavily favors KRAS mutant cell lines. No other gene's depedencies are as skewed toward KRAS mutant cell lines. KRAS mutations appear to be self essentializing." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e6b695e6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Load Complete\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2402738/1514998632.py:62: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " xy = (mt_lab[i], wt_lab[i]),\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Text_coords are custom per graph \n", + "text_coords1 = [(0.95, 0.25), (0.1, 0.4)]\n", + "text_coords2 = [(0.95, 0.25), (0.1, 0.4)]\n", + "\n", + "gene_effect_scatter(kras_mt,\n", + " kras_wt,\n", + " \"KRAS\",\n", + " \"EGFR\",\n", + " tc1 = text_coords1,\n", + " tc2 = text_coords2,\n", + " name= None#figures/kras_gene_dependency_scatter.pdf\"\n", + " )\n" + ] + }, + { + "cell_type": "markdown", + "id": "11e97be8", + "metadata": {}, + "source": [ + "### Average Gene Effect of EGFR MT vs EGFR WT Cell Lines\n", + "We don't observed the same self esentializing effect with EGFR and EGFR mutations as we do with KRAS and KRAS mutations. The KRAS point moves upwards along the diaganol when KRAS mutant cell lines are removed, indicating the self essentializing effect of KRAS mutations was represented equally in both EGFR mutant and EGFR wild type cell lines. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d658fa0a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2402738/1514998632.py:62: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " xy = (mt_lab[i], wt_lab[i]),\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tc1 = [(0.4, 0.1), (0.2, 0.6)]\n", + "tc2 = [(0.4, 0.1), (0.2, 0.6)]\n", + "\n", + "gene_effect_scatter(egfr_mt,\n", + " egfr_wt,\n", + " \"EGFR\",\n", + " \"KRAS\",\n", + " tc1 = tc1,\n", + " tc2 = tc2,\n", + " name = None#\"figures/egfr_gene_dependency_scatter.pdf\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0d94fc98", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/setup.py b/setup.py index b5a85ff..eeeb9b4 100644 --- a/setup.py +++ b/setup.py @@ -4,7 +4,7 @@ from pathlib import Path this_directory = Path(__file__).parent -long_description = (this_directory / "README.rst").read_text() +long_description = (this_directory / "README.md").read_text() setup( name='PyCanDI',