{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorial 1: Getting Started with SQuADDS\n", "\n", "In this tutorial, we will walk you through some basic usage of SQuADDS. By the end of this tutorial, you will be able to:\n", "\n", "- Have an HuggingFace account\n", "\n", "- Access the SQuADDS Database\n", "\n", "- Use the SQuADDS API to query for closest and \"best-guess\" interpolated device designs for your chosen Hamiltonian parameters\n", "\n", "- Simulate the \"best-guess\" design using an EM solver tool" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the SQuADDS Database is hosted on [HuggingFace](https://huggingface.co/), we will need to create an account and get an API key to access the database.\n", "\n", "## HuggingFace πŸ€— \n", "\n", "HuggingFace is a company that provides a large number of NLP models and datasets. They also provide a platform to host your own models and datasets.\n", "\n", "### Creating an Account\n", "\n", "Follow the instructions here - [HuggingFace: Sign Up](https://huggingface.co/join) - to create an account.\n", "\n", "Once you have created an account, you can get your API key from the [settings page](https://huggingface.co/settings/token).\n", "\n", "Please update the `HUGGINGFACE_API_KEY` variable in the `.env` file with your API key **OR** execute the following code to set the environment variable." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/tqdm/auto.py: 21" ] } ], "source": [ "from squadds.core.utils import set_huggingface_api_key\n", "\n", "#set_huggingface_api_key()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Login\n", "\n", "To login to your HuggingFace account, run the following command in your terminal:\n", "\n", "```bash\n", "huggingface-cli login\n", "```\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You will be prompted to enter your username and password. Once you have logged in, you can check your login status by running the following command:\n", "\n", "```bash\n", "huggingface-cli whoami\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Accessing the SQuADDS Database using the HuggingFace API\n", "\n", "The SQuADDS Database is hosted on HuggingFace. You can access the database using the `datasets` library from HuggingFace." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://huggingface.co/api/datasets/SQuADDS/SQuADDS_DB/revision/6b4001554a05a484bcbb5faa7363f9c3097d5174 \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: GET https://huggingface.co/api/datasets/SQuADDS/SQuADDS_DB/tree/6b4001554a05a484bcbb5faa7363f9c3097d5174?recursive=false&expand=false \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] } ], "source": [ "from datasets import get_dataset_config_names, load_dataset\n", "\n", "configs = get_dataset_config_names(\"SQuADDS/SQuADDS_DB\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can navigate the database using HuggingFace API. For example, you can access the qubit database using the following code:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] } ], "source": [ "qubit_data = load_dataset(\"SQuADDS/SQuADDS_DB\", configs[0])" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['sim_results', 'sim_options', 'design', 'notes', 'contributor'],\n", " num_rows: 1934\n", " })\n", "})" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "qubit_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each configuration in the dataset is uniquely identified by their `config`. For the SQuADDS Database, the `config` string is created in the following format:\n", "\n", "```python\n", "config = f\"{component}_{component_name}_{data_type}\"\n", "```\n", "\n", "where `component` is the name of the component, `component_name` is the name of the component (in Qiskit Metal), and `data_type` is the type of simulation data that has been contributed.\n", "\n", "Lets check what the `config` string looks like for our database:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['qubit', 'cavity_claw', 'coupler', 'coupler', 'measured_device_database']\n", "['TransmonCross', 'RouteMeander', 'NCap', 'CapNInterdigitalTee']\n", "['cap_matrix', 'eigenmode', 'cap_matrix', 'cap_matrix']\n" ] } ], "source": [ "components = []\n", "component_names = []\n", "data_types = []\n", "\n", "for config in configs:\n", " try:\n", " components.append(config.split(\"-\")[0])\n", " component_names.append(config.split(\"-\")[1])\n", " data_types.append(config.split(\"-\")[2])\n", " except:\n", " pass\n", "\n", "print(components)\n", "print(component_names)\n", "print(data_types)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The reason we added the `try except` block is because we have more datasets as well in the database that don't conform the simulation data format" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using the SQuADDS API to access and anlyze the database\n", "\n", "While it is possible to directly access the SQuADDS Database using the `datasets` library, we have created a simple API to make it easier to query the database.\n", "\n", "The main object we use to access the database is the `SQuADDS_DB` class. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] } ], "source": [ "from squadds import SQuADDS_DB\n", "\n", "db = SQuADDS_DB()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can get a summary of the datasets by running." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "+-------------+---------------------+------------------+--------------------------------------------------------------------------------------------+\n", "| Component | Component Name | Data Available | Component Image |\n", "+=============+=====================+==================+============================================================================================+\n", "| qubit | TransmonCross | cap_matrix | https://github.com/LFL-Lab/SQuADDS/tree/master/docs/_static/images/TransmonCross.png |\n", "+-------------+---------------------+------------------+--------------------------------------------------------------------------------------------+\n", "| coupler | NCap | cap_matrix | https://github.com/LFL-Lab/SQuADDS/tree/master/docs/_static/images/NCap.png |\n", "+-------------+---------------------+------------------+--------------------------------------------------------------------------------------------+\n", "| coupler | CapNInterdigitalTee | cap_matrix | https://github.com/LFL-Lab/SQuADDS/tree/master/docs/_static/images/CapNInterdigitalTee.png |\n", "+-------------+---------------------+------------------+--------------------------------------------------------------------------------------------+\n", "| cavity_claw | RouteMeander | eigenmode | https://github.com/LFL-Lab/SQuADDS/tree/master/docs/_static/images/RouteMeander.png |\n", "+-------------+---------------------+------------------+--------------------------------------------------------------------------------------------+\n" ] } ], "source": [ "db.view_datasets()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To check for the `config` names" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['qubit-TransmonCross-cap_matrix',\n", " 'cavity_claw-RouteMeander-eigenmode',\n", " 'coupler-NCap-cap_matrix',\n", " 'coupler-CapNInterdigitalTee-cap_matrix']\n" ] } ], "source": [ "db.get_configs()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**NOTE: `'coupler-NCap-cap_matrix'` and `''coupler-CapNInterdigitalTee-cap_matrix'` are the same datasets. We will support them both since future releases will deprecate the term `NCap` and replace it with `CapNInterdigitalTee`.**\n", "\n", "If you are interested to learn more about each configuration, you can do so by using the `get_dataset_info` method.\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "Generating train split: 1934 examples [00:00, 10125.97 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", "Dataset Features:\n", "{'contributor': {'PI': Value('string'),\n", " 'date_created': Value('string'),\n", " 'group': Value('string'),\n", " 'institution': Value('string'),\n", " 'uploader': Value('string')},\n", " 'design': {'design_options': {...}, 'design_tool': Value('string')},\n", " 'notes': {},\n", " 'sim_options': {'renderer_options': {...},\n", " 'setup': {...},\n", " 'simulator': Value('string')},\n", " 'sim_results': {'claw_to_claw': Value('float64'),\n", " 'claw_to_ground': Value('float64'),\n", " 'cross_to_claw': Value('float64'),\n", " 'cross_to_cross': Value('float64'),\n", " 'cross_to_ground': Value('float64'),\n", " 'ground_to_ground': Value('float64'),\n", " 'units': Value('string')}}\n", "\n", "Dataset Description:\n", "\n", "\n", "Dataset Citation:\n", "\n", "\n", "Dataset Homepage:\n", "\n", "\n", "Dataset License:\n", "\n", "\n", "Dataset Size in Bytes:\n", "9735651\n", "================================================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "db.get_dataset_info(component=\"qubit\", component_name=\"TransmonCross\", data_type=\"cap_matrix\")" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "Generating train split: 1216 examples [00:00, 27667.90 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", "Dataset Features:\n", "{'contributor': {'PI': Value('string'),\n", " 'date_created': Value('string'),\n", " 'group': Value('string'),\n", " 'institution': Value('string'),\n", " 'misc': Value('string'),\n", " 'uploader': Value('string')},\n", " 'design': {'coupler_type': Value('string'),\n", " 'design_options': {...},\n", " 'design_tool': Value('string'),\n", " 'resonator_type': Value('string')},\n", " 'notes': {},\n", " 'sim_options': {'renderer_options': {...},\n", " 'setup': {...},\n", " 'simulator': Value('string')},\n", " 'sim_results': {'cavity_frequency': Value('float64'),\n", " 'kappa': Value('float64'),\n", " 'units': Value('string')}}\n", "\n", "Dataset Description:\n", "\n", "\n", "Dataset Citation:\n", "\n", "\n", "Dataset Homepage:\n", "\n", "\n", "Dataset License:\n", "\n", "\n", "Dataset Size in Bytes:\n", "4620074\n", "================================================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "db.get_dataset_info(component=\"cavity_claw\", component_name=\"RouteMeander\", data_type=\"eigenmode\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can get the entire dataset as a Pandas DataFrame by using the `get_dataset` method." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
claw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunitsrenderer_optionssetupsimulatordesign_optionsdesign_toolPIdate_createdgroupinstitutionuploader
094.9742190.865853.73363158.40783158.40783311.25590fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
182.4428079.193782.93820188.15089188.15089333.52997fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153123LFLUSCAndre Kuo
283.7641280.181303.16131104.35340104.35340237.02548fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
3103.3705797.224055.77590174.13928174.13928335.31609fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153126LFLUSCAndre Kuo
468.9285465.686072.87375120.03923120.03923240.34085fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
......................................................
1929106.43025101.531974.45645174.46380174.46380340.62919fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
1930121.10943112.625707.95178187.43537187.43537367.34003fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142549LFLUSCAndre Kuo
1931144.56289136.368107.65968172.14561172.14561372.39970fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153123LFLUSCAndre Kuo
193268.7641365.781162.4879556.7523056.75230166.57383fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
193358.4574955.507962.5439662.0100062.01000162.42140fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142549LFLUSCAndre Kuo
\n", "

1934 rows Γ— 17 columns

\n", "
" ], "text/plain": [ " claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "0 94.97421 90.86585 3.73363 158.40783 \n", "1 82.44280 79.19378 2.93820 188.15089 \n", "2 83.76412 80.18130 3.16131 104.35340 \n", "3 103.37057 97.22405 5.77590 174.13928 \n", "4 68.92854 65.68607 2.87375 120.03923 \n", "... ... ... ... ... \n", "1929 106.43025 101.53197 4.45645 174.46380 \n", "1930 121.10943 112.62570 7.95178 187.43537 \n", "1931 144.56289 136.36810 7.65968 172.14561 \n", "1932 68.76413 65.78116 2.48795 56.75230 \n", "1933 58.45749 55.50796 2.54396 62.01000 \n", "\n", " cross_to_ground ground_to_ground units \\\n", "0 158.40783 311.25590 fF \n", "1 188.15089 333.52997 fF \n", "2 104.35340 237.02548 fF \n", "3 174.13928 335.31609 fF \n", "4 120.03923 240.34085 fF \n", "... ... ... ... \n", "1929 174.46380 340.62919 fF \n", "1930 187.43537 367.34003 fF \n", "1931 172.14561 372.39970 fF \n", "1932 56.75230 166.57383 fF \n", "1933 62.01000 162.42140 fF \n", "\n", " renderer_options \\\n", "0 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "2 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "3 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "4 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "... ... \n", "1929 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1930 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1931 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1932 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1933 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup simulator \\\n", "0 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "2 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "3 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "4 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "... ... ... \n", "1929 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1930 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1931 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1932 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1933 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "\n", " design_options design_tool \\\n", "0 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "2 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "3 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "4 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "... ... ... \n", "1929 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1930 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1931 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1932 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1933 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "\n", " PI date_created group institution uploader \n", "0 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1 Eli Levenson-Falk, PhD 2023-10-25-153123 LFL USC Andre Kuo \n", "2 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "3 Eli Levenson-Falk, PhD 2023-10-25-153126 LFL USC Andre Kuo \n", "4 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "... ... ... ... ... ... \n", "1929 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1930 Eli Levenson-Falk, PhD 2023-09-20-142549 LFL USC Andre Kuo \n", "1931 Eli Levenson-Falk, PhD 2023-10-25-153123 LFL USC Andre Kuo \n", "1932 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1933 Eli Levenson-Falk, PhD 2023-09-20-142549 LFL USC Andre Kuo \n", "\n", "[1934 rows x 17 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "db.see_dataset(component=\"qubit\", component_name=\"TransmonCross\", data_type=\"cap_matrix\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also learn more about the measured device that generated this dataset:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "Generating train split: 3 examples [00:00, 62.15 examples/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "+--------------------+------------------------------------------------------------------------------------+\n", "| Design Code | https://github.com/LFL-Lab/design_schema_WM1 |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| Paper Link | https://arxiv.org/pdf/2312.13483 |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| Image | https://github.com/LFL-Lab/design_schema_WM1/blob/main/assets/WM1_qiskit_metal.png |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| Foundry | SQUILL |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| Fabrication Recipe | Confidential |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| PI | Eli Levenson-Falk, PhD |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| date_created | 2023-09-20-142547 |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| group | LFL |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| institution | USC |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| measured_by | ['Sadman Ahmed Shanto', 'Malinda Hecht', 'Evangelos Vlachos'] |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| name | WM1 |\n", "+--------------------+------------------------------------------------------------------------------------+\n", "| uploader | Elizabeth Kunz |\n", "+--------------------+------------------------------------------------------------------------------------+\n" ] } ], "source": [ "db.view_reference_device_of(component=\"qubit\", component_name=\"TransmonCross\", data_type=\"cap_matrix\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also learn more about the other measured devices that are available in SQuADDS" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
NameDesign CodePaper LinkImageFoundrySubstrateMaterialsJunction StyleJunction Materials
0WM1https://github.com/LFL-Lab/design_schema_WM1https://arxiv.org/pdf/2312.13483https://github.com/LFL-Lab/design_schema_WM1/b...SQUILLSiliconAluminiumDolanAl-AlOx-Al
1β€œdissipator”https://github.com/LFL-Lab/design_schema_dissi...https://journals.aps.org/prxquantum/abstract/1...https://github.com/LFL-Lab/design_schema_dissi...USC NanofabSilicon 111AluminiumManhattanAl-AlOx-Al
2MUNNINhttps://github.com/LFL-Lab/design_schema_MUNNINhttps://journals.aps.org/prl/abstract/10.1103/...https://github.com/LFL-Lab/design_schema_MUNNI...SQUILLSiliconAluminiumDolanAl-AlOx-Al
\n", "
" ], "text/plain": [ " Name Design Code \\\n", "0 WM1 https://github.com/LFL-Lab/design_schema_WM1 \n", "1 β€œdissipator” https://github.com/LFL-Lab/design_schema_dissi... \n", "2 MUNNIN https://github.com/LFL-Lab/design_schema_MUNNIN \n", "\n", " Paper Link \\\n", "0 https://arxiv.org/pdf/2312.13483 \n", "1 https://journals.aps.org/prxquantum/abstract/1... \n", "2 https://journals.aps.org/prl/abstract/10.1103/... \n", "\n", " Image Foundry \\\n", "0 https://github.com/LFL-Lab/design_schema_WM1/b... SQUILL \n", "1 https://github.com/LFL-Lab/design_schema_dissi... USC Nanofab \n", "2 https://github.com/LFL-Lab/design_schema_MUNNI... SQUILL \n", "\n", " Substrate Materials Junction Style Junction Materials \n", "0 Silicon Aluminium Dolan Al-AlOx-Al \n", "1 Silicon 111 Aluminium Manhattan Al-AlOx-Al \n", "2 Silicon Aluminium Dolan Al-AlOx-Al " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "db.get_measured_devices()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you want to learn about the who contributed the simulation data, you can use the following methods:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "================================================================================\n", "\t\t\tMeasured Device Contributor(s):\n", "================================================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "+-----------------------+-------------------------------------------------------+\n", "| Foundry | N/A |\n", "+-----------------------+-------------------------------------------------------+\n", "| PI | Eli Levenson-Falk, PhD |\n", "+-----------------------+-------------------------------------------------------+\n", "| Group | LFL |\n", "+-----------------------+-------------------------------------------------------+\n", "| Institution | USC |\n", "+-----------------------+-------------------------------------------------------+\n", "| Measured By | Sadman Ahmed Shanto, Malinda Hecht, Evangelos Vlachos |\n", "+-----------------------+-------------------------------------------------------+\n", "| Reference Device Name | WM1 |\n", "+-----------------------+-------------------------------------------------------+\n", "| Uploader | Elizabeth Kunz |\n", "+-----------------------+-------------------------------------------------------+\n", "================================================================================\n", "\t\t\tSimulation Data Contributor(s):\n", "================================================================================\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "+------------+------------------------+---------+---------------+\n", "| uploader | PI | group | institution |\n", "+============+========================+=========+===============+\n", "| Andre Kuo | Eli Levenson-Falk, PhD | LFL | USC |\n", "+------------+------------------------+---------+---------------+\n" ] } ], "source": [ "db.view_contributors_of(\"qubit\", \"TransmonCross\", \"cap_matrix\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To see the list of all the contributors, you can use the following method:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Name | Institution | Contribution |\n", "+=======================+====================================+===========================================+\n", "| Clark Miyamoto | New York University | Code contributor πŸ’» |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Madison Howard | California Institute of Technology | Bug Hunter πŸ› |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Evangelos Vlachos | University of Southern California | Code contributor πŸ’» |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Kaveh Pezeshki | Stanford University | Documentation contributor πŸ“„ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Anne Whelan | US Navy | Documentation contributor πŸ“„ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Jenny Huang | Columbia University | Documentation contributor πŸ“„ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Connie Miao | Stanford University | Data Contributor πŸ“€ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Malida Hecht | University of Southern California | Data contributor πŸ“€ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Daria Kowsari, PhD | University of Southern California | Data contributor πŸ“€ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Vivek Maurya | University of Southern California | Data contributor πŸ“€ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Haimeng Zhang, PhD | IBM | Data contributor πŸ“€ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Elizabeth Kunz | University of Southern California | Documentation πŸ“„ and Code contributor πŸ’» |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Adhish Chakravorty | University of Southern California | Documentation πŸ“„ and Code contributor πŸ’» |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Ethan Zheng | University of Southern California | Data contributor πŸ“€ and Bug Hunter πŸ› |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Sara Sussman, PhD | Fermilab | Bug Hunter πŸ› |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n", "| Priyangshu Chatterjee | IIT Kharagpur | Documentation contributor πŸ“„ |\n", "+-----------------------+------------------------------------+-------------------------------------------+\n" ] } ], "source": [ "db.view_all_contributors()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As the SQuADDS_DB dataset updates, so will all the information we have queried automatically. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Making Systems out of Circuit QED Elements\n", "\n", "One of the main use cases of the SQuADDS project is to get the design space parameters for systems of our interest using our desired Hamiltonian parameters." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the SQuADDS API, we can \"build\" a system by choosing the circuit QED components we want to use.\n", "\n", "The following subsections walks you through some examples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Querying for the a target qubit design\n", "\n", "Let's say you know the Hamiltonian parameters of a qubit you want to use. You can use the SQuADDS API to query for the closest design to your target qubit.\n", "\n", "We first need to select our sytem of interest." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "db.select_system(\"qubit\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we need to specify to SQuADDS what type of `qubit` our system is. We can do this by using the `select_qubit` method." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "db.select_qubit(\"TransmonCross\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now create the system dataframe so that we can query for the design parameters we are interested in." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
claw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunitsrenderer_optionssetupsimulatordesign_optionsdesign_toolPIdate_createdgroupinstitutionuploader
094.9742190.865853.73363158.40783158.40783311.25590fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
182.4428079.193782.93820188.15089188.15089333.52997fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153123LFLUSCAndre Kuo
283.7641280.181303.16131104.35340104.35340237.02548fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
3103.3705797.224055.77590174.13928174.13928335.31609fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153126LFLUSCAndre Kuo
468.9285465.686072.87375120.03923120.03923240.34085fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
......................................................
1929106.43025101.531974.45645174.46380174.46380340.62919fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
1930121.10943112.625707.95178187.43537187.43537367.34003fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142549LFLUSCAndre Kuo
1931144.56289136.368107.65968172.14561172.14561372.39970fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-10-25-153123LFLUSCAndre Kuo
193268.7641365.781162.4879556.7523056.75230166.57383fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo
193358.4574955.507962.5439662.0100062.01000162.42140fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142549LFLUSCAndre Kuo
\n", "

1934 rows Γ— 17 columns

\n", "
" ], "text/plain": [ " claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "0 94.97421 90.86585 3.73363 158.40783 \n", "1 82.44280 79.19378 2.93820 188.15089 \n", "2 83.76412 80.18130 3.16131 104.35340 \n", "3 103.37057 97.22405 5.77590 174.13928 \n", "4 68.92854 65.68607 2.87375 120.03923 \n", "... ... ... ... ... \n", "1929 106.43025 101.53197 4.45645 174.46380 \n", "1930 121.10943 112.62570 7.95178 187.43537 \n", "1931 144.56289 136.36810 7.65968 172.14561 \n", "1932 68.76413 65.78116 2.48795 56.75230 \n", "1933 58.45749 55.50796 2.54396 62.01000 \n", "\n", " cross_to_ground ground_to_ground units \\\n", "0 158.40783 311.25590 fF \n", "1 188.15089 333.52997 fF \n", "2 104.35340 237.02548 fF \n", "3 174.13928 335.31609 fF \n", "4 120.03923 240.34085 fF \n", "... ... ... ... \n", "1929 174.46380 340.62919 fF \n", "1930 187.43537 367.34003 fF \n", "1931 172.14561 372.39970 fF \n", "1932 56.75230 166.57383 fF \n", "1933 62.01000 162.42140 fF \n", "\n", " renderer_options \\\n", "0 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "2 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "3 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "4 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "... ... \n", "1929 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1930 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1931 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1932 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1933 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup simulator \\\n", "0 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "2 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "3 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "4 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "... ... ... \n", "1929 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1930 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1931 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1932 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "1933 {'auto_increase_solution_order': True, 'enable... Ansys HFSS \n", "\n", " design_options design_tool \\\n", "0 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "2 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "3 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "4 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "... ... ... \n", "1929 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1930 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1931 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1932 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "1933 {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... qiskit-metal \n", "\n", " PI date_created group institution uploader \n", "0 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1 Eli Levenson-Falk, PhD 2023-10-25-153123 LFL USC Andre Kuo \n", "2 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "3 Eli Levenson-Falk, PhD 2023-10-25-153126 LFL USC Andre Kuo \n", "4 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "... ... ... ... ... ... \n", "1929 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1930 Eli Levenson-Falk, PhD 2023-09-20-142549 LFL USC Andre Kuo \n", "1931 Eli Levenson-Falk, PhD 2023-10-25-153123 LFL USC Andre Kuo \n", "1932 Eli Levenson-Falk, PhD 2023-09-20-142547 LFL USC Andre Kuo \n", "1933 Eli Levenson-Falk, PhD 2023-09-20-142549 LFL USC Andre Kuo \n", "\n", "[1934 rows x 17 columns]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = db.create_system_df()\n", "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have created our system dataframe, we can query for the closest design to our target qubit parameters. To do this we need to call the `Analyzer` object." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from squadds import Analyzer" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We instatantaite the `Analyzer` object by passing in the `SQuADDS_DB` instance we created earlier." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "analyzer = Analyzer(db)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now check for what type of Hamiltonian parameters are available for our chosen system" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['qubit_frequency_GHz', 'anharmonicity_MHz']" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analyzer.target_param_keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, Let's select a geometry which results in the closest qubit characteristics\n", "\n", "Call `Analyzer.find_closest`\n", "\n", "**Documentation:**\n", "\n", "```\n", "Finds the rows in the DataFrame with the closest matching characteristics\n", "to the given target parameters using a specified metric.\n", "\n", "Args:\n", " target_params (dict): A dictionary containing the target values for columns in `self.df`.\n", " Keys are column names and values are the target values.\n", " num_top (int): The number of closest matching rows to return.\n", " metric (str, optional): The distance metric to use for finding the closest matches.\n", " Available options are specified in `self.__supported_metrics__`.\n", " Defaults to 'Euclidean'.\n", " display (bool, optional): Whether to display warnings and logs. Defaults to True.\n", "\n", "Returns:\n", " pd.DataFrame: A DataFrame containing the rows with the closest matching characteristics,\n", " sorted by the distance metric.\n", "\n", "Raises:\n", " ValueError: If the specified metric is not supported or `num_top` exceeds the DataFrame size.\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You are given the choice of the following metrics." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Euclidean', 'Manhattan', 'Chebyshev', 'Weighted Euclidean', 'Custom']" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analyzer.__supported_metrics__" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define your Hamiltonian parameters that you want to use for your qubit " ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "target_params={\"qubit_frequency_GHz\": 4, \"anharmonicity_MHz\": -200}" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
claw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunitsrenderer_optionssetupsimulator...design_toolPIdate_createdgroupinstitutionuploaderECEJqubit_frequency_GHzanharmonicity_MHz
643106.91739101.131615.25204102.49025102.49025255.94708fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo0.17978312.2780814.013772-201.551563
186280.0155476.727412.89095104.64079104.64079233.88902fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo0.18013512.2780814.017505-201.973606
171476.2720773.261362.62986104.89818104.89818230.69451fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo0.18014112.2780814.017568-201.980800
\n", "

3 rows Γ— 21 columns

\n", "
" ], "text/plain": [ " claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "643 106.91739 101.13161 5.25204 102.49025 \n", "1862 80.01554 76.72741 2.89095 104.64079 \n", "1714 76.27207 73.26136 2.62986 104.89818 \n", "\n", " cross_to_ground ground_to_ground units \\\n", "643 102.49025 255.94708 fF \n", "1862 104.64079 233.88902 fF \n", "1714 104.89818 230.69451 fF \n", "\n", " renderer_options \\\n", "643 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1862 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1714 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup simulator ... \\\n", "643 {'auto_increase_solution_order': True, 'enable... Ansys HFSS ... \n", "1862 {'auto_increase_solution_order': True, 'enable... Ansys HFSS ... \n", "1714 {'auto_increase_solution_order': True, 'enable... Ansys HFSS ... \n", "\n", " design_tool PI date_created group \\\n", "643 qiskit-metal Eli Levenson-Falk, PhD 2023-09-20-142547 LFL \n", "1862 qiskit-metal Eli Levenson-Falk, PhD 2023-09-20-142547 LFL \n", "1714 qiskit-metal Eli Levenson-Falk, PhD 2023-09-20-142547 LFL \n", "\n", " institution uploader EC EJ qubit_frequency_GHz \\\n", "643 USC Andre Kuo 0.179783 12.278081 4.013772 \n", "1862 USC Andre Kuo 0.180135 12.278081 4.017505 \n", "1714 USC Andre Kuo 0.180141 12.278081 4.017568 \n", "\n", " anharmonicity_MHz \n", "643 -201.551563 \n", "1862 -201.973606 \n", "1714 -201.980800 \n", "\n", "[3 rows x 21 columns]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = analyzer.find_closest(target_params=target_params,\n", " num_top=3,\n", " metric=\"Euclidean\",\n", " display=True)\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Thats it! You have now found some designs for your qubit that are closest to your target Hamiltonian parameters." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Using Custom Metrics\n", "\n", "To use a custom metric first define the function. For example, lets say we want the manhattan metric" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "def manhattan_distance(target, simulated):\n", " return sum(abs(target[key] - simulated.get(key, 0)) for key in target)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "analyzer.custom_metric_func = manhattan_distance" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Either `skip_df_gen` flag is set to True or all target params have been precomputed at an earlier step. Using `df` from memory.\n", "Please set this to False if `target_parameters` have changed.\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
claw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunitsrenderer_optionssetupsimulator...design_toolPIdate_createdgroupinstitutionuploaderECEJqubit_frequency_GHzanharmonicity_MHz
643106.91739101.131615.25204102.49025102.49025255.94708fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable...Ansys HFSS...qiskit-metalEli Levenson-Falk, PhD2023-09-20-142547LFLUSCAndre Kuo0.17978312.2780814.013772-201.551563
\n", "

1 rows Γ— 21 columns

\n", "
" ], "text/plain": [ " claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "643 106.91739 101.13161 5.25204 102.49025 \n", "\n", " cross_to_ground ground_to_ground units \\\n", "643 102.49025 255.94708 fF \n", "\n", " renderer_options \\\n", "643 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup simulator ... \\\n", "643 {'auto_increase_solution_order': True, 'enable... Ansys HFSS ... \n", "\n", " design_tool PI date_created group \\\n", "643 qiskit-metal Eli Levenson-Falk, PhD 2023-09-20-142547 LFL \n", "\n", " institution uploader EC EJ qubit_frequency_GHz \\\n", "643 USC Andre Kuo 0.179783 12.278081 4.013772 \n", "\n", " anharmonicity_MHz \n", "643 -201.551563 \n", "\n", "[1 rows x 21 columns]" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analyzer.find_closest(target_params=target_params,\n", " num_top=1,\n", " metric=\"Custom\",\n", " display=True)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'aedt_hfss_capacitance': 0,\n", " 'aedt_hfss_inductance': 9.686e-09,\n", " 'aedt_q3d_capacitance': 0,\n", " 'aedt_q3d_inductance': 1e-08,\n", " 'chip': 'main',\n", " 'connection_pads': {'readout': {'claw_cpw_length': '40um',\n", " 'claw_cpw_width': '10um',\n", " 'claw_gap': '5.1um',\n", " 'claw_length': '190um',\n", " 'claw_width': '15um',\n", " 'connector_location': '90',\n", " 'connector_type': '0',\n", " 'ground_spacing': '10um'}},\n", " 'cross_gap': '30um',\n", " 'cross_length': '210um',\n", " 'cross_width': '30um',\n", " 'gds_cell_name': 'my_other_junction',\n", " 'hfss_capacitance': 0,\n", " 'hfss_inductance': 9.686e-09,\n", " 'hfss_mesh_kw_jj': 7e-06,\n", " 'hfss_resistance': 0,\n", " 'layer': '1',\n", " 'orientation': '-90',\n", " 'pos_x': '-1500um',\n", " 'pos_y': '1200um',\n", " 'q3d_capacitance': 0,\n", " 'q3d_inductance': '10nH',\n", " 'q3d_mesh_kw_jj': 7e-06,\n", " 'q3d_resistance': 0}" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_options = results.iloc[0][\"design_options\"]\n", "best_options" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can pass in the `design_options` from the closest design to the `options` argument of your selected qubit and render it in qiskit metal." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "# Qiskit Metal imports\n", "import qiskit_metal as metal\n", "from qiskit_metal import MetalGUI\n", "from qiskit_metal.designs.design_multiplanar import MultiPlanar\n", "from qiskit_metal.qlibrary.qubits.transmon_cross import TransmonCross" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "design = MultiPlanar(metadata={},\n", " overwrite_enabled=True)\n", "gui = MetalGUI(design)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/qgeometries/qgeometries_handler.py: 528\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 281\n" ] }, { "data": { "image/png": "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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 500 } }, "output_type": "display_data" } ], "source": [ "\n", "TransmonCross(design, \"transmon\", options=best_options)\n", "\n", "gui.rebuild()\n", "gui.zoom_on_components(['transmon'])\n", "gui.screenshot(\"qubit_only.png\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Querying for a target cavity design\n", "\n", "The same workflow can be used to query for a target cavity design." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While it is not necessary, it may be a good idea to `unselect_all()` before creating a new system." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "db.unselect_all()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Proceed with selecting the system of interest" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "db.select_system(\"cavity_claw\")" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "db.select_cavity_claw(\"RouteMeander\")" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "db.select_resonator_type(\"quarter\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It's always a good idea to check that the system you have selected is correct." ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected component: cavity_claw\n", "Selected component name: RouteMeander\n", "Selected data type: eigenmode\n", "Selected system: cavity_claw\n", "Selected coupler: CLT\n", "Selected resonator type: quarter\n" ] } ], "source": [ "db.show_selections()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! lets create the system dataframe and analyze it." ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] } ], "source": [ "df = db.create_system_df()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "analyzer = Analyzer(db)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['resonator_type', 'cavity_frequency_GHz', 'kappa_kHz']" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analyzer.target_param_keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Select the Hamiltonian parameters you want to use for your cavity and search for the closest designs." ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "target_params = {\"cavity_frequency_GHz\": 6.9,\n", " \"kappa_kHz\": 120,\n", " \"resonator_type\":\"quarter\"}" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
renderer_optionssetupsimulatorcavity_frequency_GHzkappa_kHzcoupler_typedesign_optionsdesign_toolresonator_typePIdate_createdgroupinstitutionmiscuploader
1191None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.948003122.218952CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
1192None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.915761125.765213CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
1189None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS7.013518127.327511CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
190None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.371017121.824395CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-11-30-214122LFLUSCNoneAndre Kuo
1190None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.980933129.751169CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
\n", "
" ], "text/plain": [ " renderer_options setup \\\n", "1191 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "1192 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "1189 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "190 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "1190 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "\n", " simulator cavity_frequency_GHz kappa_kHz coupler_type \\\n", "1191 Ansys HFSS 6.948003 122.218952 CLT \n", "1192 Ansys HFSS 6.915761 125.765213 CLT \n", "1189 Ansys HFSS 7.013518 127.327511 CLT \n", "190 Ansys HFSS 6.371017 121.824395 CLT \n", "1190 Ansys HFSS 6.980933 129.751169 CLT \n", "\n", " design_options design_tool \\\n", "1191 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "1192 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "1189 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "190 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "1190 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "\n", " resonator_type PI date_created group \\\n", "1191 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "1192 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "1189 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "190 quarter Eli Levenson-Falk, PhD 2023-11-30-214122 LFL \n", "1190 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "\n", " institution misc uploader \n", "1191 USC None Ethan Zheng \n", "1192 USC None Ethan Zheng \n", "1189 USC None Ethan Zheng \n", "190 USC None Andre Kuo \n", "1190 USC None Ethan Zheng " ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = analyzer.find_closest(target_params=target_params,\n", " num_top=5,\n", " metric=\"Euclidean\",\n", " display=True)\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Lets say we want to use the \"Weighted Euclidean\" metric to find the closest design to our target cavity parameters.\n", "\n", "#### Weighted Euclidean Metric\n", "\n", "You can do a weighted Euclidean metric instead.\n", "\n", "$$\n", "F(\\{P_i\\},\\{p_i\\}) = \\sum_i w_i\\frac{(P_i - p_i)^2}{P_i^2}\n", "$$\n", "\n", "Here \\( w_i \\) are weights which default to 1 if not user-defined.\n", "\n", "Note: The default metric for `find_closest` is `Euclidean` when not user-defined.\n" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "# Set up the weights\n", "analyzer.metric_weights = {\"cavity_frequency_GHz\": 2, \"kappa_kHz\": 1}" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
renderer_optionssetupsimulatorcavity_frequency_GHzkappa_kHzcoupler_typedesign_optionsdesign_toolresonator_typePIdate_createdgroupinstitutionmiscuploader
1191None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.948003122.218952CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
1192None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS6.915761125.765213CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
1189None{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...Ansys HFSS7.013518127.327511CLT{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-07-24-230000LFLUSCNoneEthan Zheng
\n", "
" ], "text/plain": [ " renderer_options setup \\\n", "1191 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "1192 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "1189 None {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "\n", " simulator cavity_frequency_GHz kappa_kHz coupler_type \\\n", "1191 Ansys HFSS 6.948003 122.218952 CLT \n", "1192 Ansys HFSS 6.915761 125.765213 CLT \n", "1189 Ansys HFSS 7.013518 127.327511 CLT \n", "\n", " design_options design_tool \\\n", "1191 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "1192 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "1189 {'claw_opts': {'connection_pads': {'readout': ... qiskit-metal \n", "\n", " resonator_type PI date_created group \\\n", "1191 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "1192 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "1189 quarter Eli Levenson-Falk, PhD 2024-07-24-230000 LFL \n", "\n", " institution misc uploader \n", "1191 USC None Ethan Zheng \n", "1192 USC None Ethan Zheng \n", "1189 USC None Ethan Zheng " ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = analyzer.find_closest(target_params=target_params,\n", " num_top=3,\n", " metric=\"Weighted Euclidean\",\n", " display=True)\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Querying for a target qubit-cavity design\n", "\n", "Again, we follow the same procedure as before." ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "db.select_system([\"qubit\",\"cavity_claw\"])" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "db.select_qubit(\"TransmonCross\")\n", "db.select_cavity_claw(\"RouteMeander\")\n", "db.select_resonator_type(\"quarter\")" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected qubit: TransmonCross\n", "Selected cavity: RouteMeander\n", "Selected coupler to feedline: CLT\n", "Selected resonator type: quarter\n", "Selected system: ['qubit', 'cavity_claw']\n" ] } ], "source": [ "db.show_selections()" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n" ] } ], "source": [ "merged_df = db.create_system_df()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
index_qcclaw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunits_qubitrenderer_options_qubitsetup_qubit...design_options_cavity_clawdesign_tool_cavity_clawresonator_typePI_cavity_clawdate_created_cavity_clawgroup_cavity_clawinstitution_cavity_clawmiscuploader_cavity_clawdesign_options
0094.9742190.865853.73363158.40783158.40783311.2559fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-12-09-204334LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
1094.9742190.865853.73363158.40783158.40783311.2559fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-12-06-224829LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
2094.9742190.865853.73363158.40783158.40783311.2559fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-12-04-124953LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
3094.9742190.865853.73363158.40783158.40783311.2559fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-12-08-173545LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
4094.9742190.865853.73363158.40783158.40783311.2559fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-11-30-214122LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
..................................................................
22191193358.4574955.507962.5439662.0100062.01000162.4214fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2023-12-09-204334LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
22192193358.4574955.507962.5439662.0100062.01000162.4214fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-01-24-130550LFLUSCAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
22193193358.4574955.507962.5439662.0100062.01000162.4214fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-01-24-133017LFLUSCAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
22194193358.4574955.507962.5439662.0100062.01000162.4214fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-01-24-135008LFLUSCAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
22195193358.4574955.507962.5439662.0100062.01000162.4214fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......{'claw_opts': {'connection_pads': {'readout': ...qiskit-metalquarterEli Levenson-Falk, PhD2024-01-25-214631LFLUSCAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...
\n", "

22196 rows Γ— 36 columns

\n", "
" ], "text/plain": [ " index_qc claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "0 0 94.97421 90.86585 3.73363 158.40783 \n", "1 0 94.97421 90.86585 3.73363 158.40783 \n", "2 0 94.97421 90.86585 3.73363 158.40783 \n", "3 0 94.97421 90.86585 3.73363 158.40783 \n", "4 0 94.97421 90.86585 3.73363 158.40783 \n", "... ... ... ... ... ... \n", "22191 1933 58.45749 55.50796 2.54396 62.01000 \n", "22192 1933 58.45749 55.50796 2.54396 62.01000 \n", "22193 1933 58.45749 55.50796 2.54396 62.01000 \n", "22194 1933 58.45749 55.50796 2.54396 62.01000 \n", "22195 1933 58.45749 55.50796 2.54396 62.01000 \n", "\n", " cross_to_ground ground_to_ground units_qubit \\\n", "0 158.40783 311.2559 fF \n", "1 158.40783 311.2559 fF \n", "2 158.40783 311.2559 fF \n", "3 158.40783 311.2559 fF \n", "4 158.40783 311.2559 fF \n", "... ... ... ... \n", "22191 62.01000 162.4214 fF \n", "22192 62.01000 162.4214 fF \n", "22193 62.01000 162.4214 fF \n", "22194 62.01000 162.4214 fF \n", "22195 62.01000 162.4214 fF \n", "\n", " renderer_options_qubit \\\n", "0 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "1 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "2 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "3 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "4 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "... ... \n", "22191 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "22192 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "22193 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "22194 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "22195 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup_qubit ... \\\n", "0 {'auto_increase_solution_order': True, 'enable... ... \n", "1 {'auto_increase_solution_order': True, 'enable... ... \n", "2 {'auto_increase_solution_order': True, 'enable... ... \n", "3 {'auto_increase_solution_order': True, 'enable... ... \n", "4 {'auto_increase_solution_order': True, 'enable... ... \n", "... ... ... \n", "22191 {'auto_increase_solution_order': True, 'enable... ... \n", "22192 {'auto_increase_solution_order': True, 'enable... ... \n", "22193 {'auto_increase_solution_order': True, 'enable... ... \n", "22194 {'auto_increase_solution_order': True, 'enable... ... \n", "22195 {'auto_increase_solution_order': True, 'enable... ... \n", "\n", " design_options_cavity_claw \\\n", "0 {'claw_opts': {'connection_pads': {'readout': ... \n", "1 {'claw_opts': {'connection_pads': {'readout': ... \n", "2 {'claw_opts': {'connection_pads': {'readout': ... \n", "3 {'claw_opts': {'connection_pads': {'readout': ... \n", "4 {'claw_opts': {'connection_pads': {'readout': ... \n", "... ... \n", "22191 {'claw_opts': {'connection_pads': {'readout': ... \n", "22192 {'claw_opts': {'connection_pads': {'readout': ... \n", "22193 {'claw_opts': {'connection_pads': {'readout': ... \n", "22194 {'claw_opts': {'connection_pads': {'readout': ... \n", "22195 {'claw_opts': {'connection_pads': {'readout': ... \n", "\n", " design_tool_cavity_claw resonator_type PI_cavity_claw \\\n", "0 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "1 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "2 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "3 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "4 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "... ... ... ... \n", "22191 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "22192 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "22193 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "22194 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "22195 qiskit-metal quarter Eli Levenson-Falk, PhD \n", "\n", " date_created_cavity_claw group_cavity_claw institution_cavity_claw \\\n", "0 2023-12-09-204334 LFL USC \n", "1 2023-12-06-224829 LFL USC \n", "2 2023-12-04-124953 LFL USC \n", "3 2023-12-08-173545 LFL USC \n", "4 2023-11-30-214122 LFL USC \n", "... ... ... ... \n", "22191 2023-12-09-204334 LFL USC \n", "22192 2024-01-24-130550 LFL USC \n", "22193 2024-01-24-133017 LFL USC \n", "22194 2024-01-24-135008 LFL USC \n", "22195 2024-01-25-214631 LFL USC \n", "\n", " misc uploader_cavity_claw \\\n", "0 None Andre Kuo \n", "1 None Andre Kuo \n", "2 None Andre Kuo \n", "3 None Andre Kuo \n", "4 None Andre Kuo \n", "... ... ... \n", "22191 None Andre Kuo \n", "22192 Andre Kuo \n", "22193 Andre Kuo \n", "22194 Andre Kuo \n", "22195 Andre Kuo \n", "\n", " design_options \n", "0 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "1 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "2 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "3 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "4 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "... ... \n", "22191 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "22192 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "22193 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "22194 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "22195 {'cavity_claw_options': {'coupler_type': 'CLT'... \n", "\n", "[22196 rows x 36 columns]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "merged_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pass the `SQuADDS_DB` instance to the `Analyzer` object." ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "analyzer = Analyzer(db)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Always good to check whether the system you have selected is correct." ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['qubit', 'cavity_claw']" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "db.selected_system" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['qubit', 'cavity_claw']" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "analyzer.selected_system" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define the `target_params` for your qubit-cavity system." ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "target_params = {\n", " \"qubit_frequency_GHz\": 4,\n", " \"cavity_frequency_GHz\": 6.2,\n", " \"kappa_kHz\": 120,\n", " \"resonator_type\":\"quarter\",\n", " \"anharmonicity_MHz\": -200,\n", " \"g_MHz\": 70}" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time taken to add the coupled H params: 0.5193672180175781 seconds\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
index_qcclaw_to_clawclaw_to_groundcross_to_clawcross_to_crosscross_to_groundground_to_groundunits_qubitrenderer_options_qubitsetup_qubit...group_cavity_clawinstitution_cavity_clawmiscuploader_cavity_clawdesign_optionsECEJqubit_frequency_GHzanharmonicity_MHzg_MHz
165351441113.99245107.651115.75841112.70740112.70740274.49373fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...0.16350912.2780813.836546-182.14681168.095121
9252812105.7608199.801855.38260100.41444100.41444251.82560fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...0.18308912.2780814.048674-205.51930770.226899
135221180109.80541103.576395.68548105.83609105.83609261.84982fF{'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name...{'auto_increase_solution_order': True, 'enable......LFLUSCNoneAndre Kuo{'cavity_claw_options': {'coupler_type': 'CLT'...0.17369012.2780813.948501-194.26178370.978895
\n", "

3 rows Γ— 41 columns

\n", "
" ], "text/plain": [ " index_qc claw_to_claw claw_to_ground cross_to_claw cross_to_cross \\\n", "16535 1441 113.99245 107.65111 5.75841 112.70740 \n", "9252 812 105.76081 99.80185 5.38260 100.41444 \n", "13522 1180 109.80541 103.57639 5.68548 105.83609 \n", "\n", " cross_to_ground ground_to_ground units_qubit \\\n", "16535 112.70740 274.49373 fF \n", "9252 100.41444 251.82560 fF \n", "13522 105.83609 261.84982 fF \n", "\n", " renderer_options_qubit \\\n", "16535 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "9252 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "13522 {'Cj': 0, 'Lj': '10nH', '_Rj': 0, 'design_name... \n", "\n", " setup_qubit ... \\\n", "16535 {'auto_increase_solution_order': True, 'enable... ... \n", "9252 {'auto_increase_solution_order': True, 'enable... ... \n", "13522 {'auto_increase_solution_order': True, 'enable... ... \n", "\n", " group_cavity_claw institution_cavity_claw misc uploader_cavity_claw \\\n", "16535 LFL USC None Andre Kuo \n", "9252 LFL USC None Andre Kuo \n", "13522 LFL USC None Andre Kuo \n", "\n", " design_options EC EJ \\\n", "16535 {'cavity_claw_options': {'coupler_type': 'CLT'... 0.163509 12.278081 \n", "9252 {'cavity_claw_options': {'coupler_type': 'CLT'... 0.183089 12.278081 \n", "13522 {'cavity_claw_options': {'coupler_type': 'CLT'... 0.173690 12.278081 \n", "\n", " qubit_frequency_GHz anharmonicity_MHz g_MHz \n", "16535 3.836546 -182.146811 68.095121 \n", "9252 4.048674 -205.519307 70.226899 \n", "13522 3.948501 -194.261783 70.978895 \n", "\n", "[3 rows x 41 columns]" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = analyzer.find_closest(target_params=target_params,\n", " num_top=3,\n", " metric=\"Euclidean\",\n", " display=True)\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Awesome! we have some designs for our qubit-cavity system. To see where the closest design lies in the Hamiltonian parameter space, we can use the `closest_design_in_H_space` method." ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "application/pdf": "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", "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2026-01-09T13:46:09.996235\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.10.8, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "analyzer.closest_design_in_H_space()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarly, we can query for the best-guess design for our qubit-cavity system with a half-wave resonator.\n", "\n", "Lets start by selecting the system of interest and creating the system dataframe." ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Selected qubit: TransmonCross\n", "Selected cavity: RouteMeander\n", "Selected coupler to feedline: NCap\n", "Selected resonator type: half\n", "Selected system: ['qubit', 'cavity_claw']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/main/README.md \"HTTP/1.1 307 Temporary Redirect\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/api/resolve-cache/datasets/SQuADDS/SQuADDS_DB/6b4001554a05a484bcbb5faa7363f9c3097d5174/README.md \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/SQuADDS/SQuADDS_DB/SQuADDS/SQuADDS_DB.py \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/.huggingface.yaml \"HTTP/1.1 404 Not Found\"\n", "INFO:httpx:HTTP Request: GET https://datasets-server.huggingface.co/info?dataset=SQuADDS/SQuADDS_DB \"HTTP/1.1 200 OK\"\n", "INFO:httpx:HTTP Request: HEAD https://huggingface.co/datasets/SQuADDS/SQuADDS_DB/resolve/6b4001554a05a484bcbb5faa7363f9c3097d5174/dataset_infos.json \"HTTP/1.1 404 Not Found\"\n", "Generating train split: 430 examples [00:00, 8998.63 examples/s]\n" ] } ], "source": [ "db.unselect_all()\n", "db.select_system([\"qubit\", \"cavity_claw\"])\n", "db.select_qubit(\"TransmonCross\")\n", "db.select_cavity_claw(\"RouteMeander\")\n", "db.select_resonator_type(\"half\")\n", "db.show_selections()\n", "half_df = db.create_system_df()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, lets pass on our new system info to the `Analyzer` object. We can either re-instantiate the `Analyzer` object like before.\n", "\n", "```python\n", "analyzer_hdf = Analyzer(db)\n", "```\n", "\n", "Or we can just update the `analyzer` object with the new system info using the following method." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "analyzer.reload_db()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Doing a sanity check to see if the system we have selected is correct." ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected qubit: TransmonCross\n", "Selected cavity: RouteMeander\n", "Selected coupler to feedline: NCap\n", "Selected resonator type: half\n", "Selected system: ['qubit', 'cavity_claw']\n" ] } ], "source": [ "analyzer.db.show_selections()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great! Now lets query for the best-guess design for our system. " ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using 10 chunks for parallel processing\n", "Computing transmon params for 1299 unique EC values...\n", "Pre-computed 1299 unique transmon states\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:FutureWarning: 'DataFrame.swapaxes' is deprecated and will be removed in a future version. Please use 'DataFrame.transpose' instead.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numpy/core/fromnumeric.py: 59\n", "NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338NumbaPerformanceWarning: \u001b[1m\n", "The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n", "\n", "To find out why, try turning on parallel diagnostics, see https://numba.readthedocs.io/en/stable/user/parallel.html#diagnostics for help.\n", "\u001b[1m\n", "File \"../squadds/calcs/transmon_cross.py\", line 108:\u001b[0m\n", "\u001b[1m@jit(nopython=True, parallel=True)\n", "\u001b[1mdef g_from_cap_matrix_numba(C, C_c, EJ, f_r, res_type, Z0=50):\n", "\u001b[0m\u001b[1m^\u001b[0m\u001b[0m\n", "\u001b[0m\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/numba/core/typed_passes.py: 338" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Time taken to add the coupled H params: 85.03790092468262 seconds\n", "Using 10 CPUs for parallel processing\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " /Users/shanto/LFL/SQuADDS_Refactor/squadds/core/analysis.py: 450\n" ] } ], "source": [ "target_params = {\n", " \"qubit_frequency_GHz\": 4,\n", " \"cavity_frequency_GHz\": 9.2,\n", " \"kappa_kHz\": 80,\n", " \"resonator_type\":\"half\",\n", " \"anharmonicity_MHz\": -200,\n", " \"g_MHz\": 70}\n", "\n", "results = analyzer.find_closest(target_params=target_params, num_top=1, metric=\"Euclidean\", parallel=True, num_cpu=\"auto\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Note:** We had used the flags - `parallel=True` and `num_cpu=\"auto\"` to speed up the process since we have very fine coverage in this dataset." ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "application/pdf": "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", "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2026-01-09T13:48:28.634235\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.10.8, https://matplotlib.org/\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n" ], "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "analyzer.closest_design_in_H_space()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Interpolation of Best Designs\n", "\n", "Even though the `closest_design` will become better as more validated pre-simulated points are added to the database, it is still a good idea to interpolate to get the best designs." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We use the physics inspired interpolation algorithm described in our [paper](https://arxiv.org/pdf/2312.13483.pdf) - `ScalingInterpolator` class to interpolate the best designs." ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [], "source": [ "from squadds.interpolations.physics import ScalingInterpolator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We pass the `Analzyer` object and the `target_params` dict to the `ScalingInterpolator` class." ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Either `skip_df_gen` flag is set to True or all target params have been precomputed at an earlier step. Using `df` from memory.\n", "Please set this to False if `target_parameters` have changed.\n", "Using 10 CPUs for parallel processing\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " /Users/shanto/LFL/SQuADDS_Refactor/squadds/core/analysis.py: 450\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Either `skip_df_gen` flag is set to True or all target params have been precomputed at an earlier step. Using `df` from memory.\n", "Please set this to False if `target_parameters` have changed.\n", "Using 10 CPUs for parallel processing\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " /Users/shanto/LFL/SQuADDS_Refactor/squadds/core/analysis.py: 450\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "==================================================\n", "Kappa scaling: 0.9974902538805511\n", "g scaling: 1.000220775604248\n", "alpha scaling: 1.0098680257797241\n", "resonator scaling: 0.9813371948573901\n", "==================================================\n" ] } ], "source": [ "# Create an instance of ScalingInterpolator\n", "interpolator = ScalingInterpolator(analyzer, target_params)\n", "\n", "design_df = interpolator.get_design()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `design_df` contains the various `design_options` for the best designs and also the `sim_options` needed to simulate them." ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
coupler_typedesign_options_qubitdesign_options_cavity_clawsetup_qubitsetup_cavity_clawdesign_options
0NCap{'aedt_hfss_capacitance': 0, 'aedt_hfss_induct...{'claw_opts': {'connection_pads': {'readout': ...{'auto_increase_solution_order': True, 'enable...{'basis_order': 1, 'max_delta_f': 0.05, 'max_p...{'cavity_claw_options': {'coupler_type': 'NCap...
\n", "
" ], "text/plain": [ " coupler_type design_options_qubit \\\n", "0 NCap {'aedt_hfss_capacitance': 0, 'aedt_hfss_induct... \n", "\n", " design_options_cavity_claw \\\n", "0 {'claw_opts': {'connection_pads': {'readout': ... \n", "\n", " setup_qubit \\\n", "0 {'auto_increase_solution_order': True, 'enable... \n", "\n", " setup_cavity_claw \\\n", "0 {'basis_order': 1, 'max_delta_f': 0.05, 'max_p... \n", "\n", " design_options \n", "0 {'cavity_claw_options': {'coupler_type': 'NCap... " ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "design_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's use this interpolated deisgn to generate a `.gds` file." ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/qgeometries/qgeometries_handler.py: 528\n", "WARNING:py.warnings:FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/qgeometries/qgeometries_handler.py: 528\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 469\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 470\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 469\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 470\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 281\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "There might be \"kinks\" in the CPW, which is a known issue in `qiskit-metal`.\n", "To resolve this, try adjusting the `start_straight` or `end_straight` parameters.\n", "For more details and resolution tips, check out this guide:\n", "https://qiskit-community.github.io/qiskit-metal/tut/2-From-components-to-chip/2.12-Simple-Meander.html\n", "There might be \"kinks\" in the CPW, which is a known issue in `qiskit-metal`.\n", "To resolve this, try adjusting the `start_straight` or `end_straight` parameters.\n", "For more details and resolution tips, check out this guide:\n", "https://qiskit-community.github.io/qiskit-metal/tut/2-From-components-to-chip/2.12-Simple-Meander.html\n" ] }, { "data": { "image/png": "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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 500 } }, "output_type": "display_data" } ], "source": [ "from qiskit_metal import MetalGUI\n", "\n", "from squadds.components.coupled_systems import QubitCavity\n", "\n", "design = metal.designs.design_planar.DesignPlanar()\n", "gui = metal.MetalGUI(design)\n", "design.overwrite_enabled = True\n", "\n", "qc_ncap = QubitCavity(design, \"qubit_cavity\", options=design_df.iloc[0][\"design_options\"])\n", "gui.rebuild()\n", "gui.autoscale()\n", "gui.screenshot(\"qubit_half_wave_cavity\")" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 469\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 470\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 469\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 470\n", "WARNING:py.warnings: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", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_mpl/mpl_renderer.py: 281\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "There might be \"kinks\" in the CPW, which is a known issue in `qiskit-metal`.\n", "To resolve this, try adjusting the `start_straight` or `end_straight` parameters.\n", "For more details and resolution tips, check out this guide:\n", "https://qiskit-community.github.io/qiskit-metal/tut/2-From-components-to-chip/2.12-Simple-Meander.html\n" ] }, { "data": { "image/png": "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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 500 } }, "output_type": "display_data" } ], "source": [ "qc_ncap.show(gui, include_wirebond_pads=True)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING:py.warnings:FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_gds/gds_renderer.py: 688\n", "WARNING:py.warnings:FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " /Users/shanto/LFL/SQuADDS_Refactor/.venv/lib/python3.11/site-packages/qiskit_metal/renderers/renderer_gds/gds_renderer.py: 692\n", "01:49PM 07s WARNING [import_junction_gds_file]: Not able to find file:\"../resources/Fake_Junctions.GDS\". Not used to replace junction. Checked directory:\"/Users/shanto/LFL/SQuADDS_Refactor/resources\".\n" ] } ], "source": [ "qc_ncap.to_gds(\"qubit_cavity\", include_wirebond_pads=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Congrats for making it to the end of this tutorial! πŸ€—πŸŽ‰ You have now learned how to use the SQuADDS API to query for closest and \"best-guess\" interpolated device designs for your chosen Hamiltonian parameters.\n", "\n", "## Next Steps...\n", "\n", "In the next [tutorial](https://lfl-lab.github.io/SQuADDS/source/tutorials/Tutorial-2_Simulate_interpolated_designs.html), we will learn how to simulate the \"best-guess\" design using an EM solver tool and the `SQuADDS` API." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## License\n", "\n", "
\n", "

This code is a part of SQuADDS

\n", "

Developed by Sadman Ahmed Shanto

\n", "

This tutorial is written by Sadman Ahmed Shanto

\n", "

© Copyright Sadman Ahmed Shanto & Eli Levenson-Falk 2023.

\n", "

This code is licensed under the MIT License. You may
obtain a copy of this license in the LICENSE.txt file in the root directory
of this source tree.

\n", "

Any modifications or derivative works of this code must retain this
copyright notice, and modified files need to carry a notice indicating
that they have been altered from the originals.

\n", "
" ] } ], "metadata": { "kernelspec": { "display_name": "SQuADDS (uv)", "language": "python", "name": "squadds" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 2 }