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+    "markdown": "---\ntitle: Advanced RAG\njupyter: python3\neval: false\ncode-annotations: hover\n---\n\n\n\n\n\nThis notebook demonstrates how you can build an advanced RAG (Retrieval Augmented Generation) for answering a user's question about a specific knowledge base (here, the HuggingFace documentation), using LangChain.\n\nFor an introduction to RAG, you can check [this other cookbook](rag_zephyr_langchain.qmd)!\n\nRAG systems are complex, with many moving parts: here a RAG diagram, where we noted in blue all possibilities for system enhancement:\n\n<img src=\"https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/RAG_workflow.png\" height=\"700\">\n\n::: callout-note\n💡 As you can see, there are many steps to tune in this architecture: tuning the system properly will yield significant performance gains.\n:::\n\nIn this notebook, we will take a look into many of these blue notes to see how to tune your RAG system and get the best performance.\n\n__Let's dig into the model building!__ First, we install the required model dependancies.\n\n::: {#7d75abe1 .cell execution_count=1}\n``` {.python .cell-code}\n!pip install -q torch transformers transformers accelerate bitsandbytes langchain sentence-transformers faiss-gpu openpyxl pacmap\n```\n:::\n\n\n::: {#2a33957c .cell execution_count=2}\n``` {.python .cell-code}\n%reload_ext dotenv\n%dotenv\n```\n:::\n\n\n::: {#d3507708 .cell execution_count=3}\n``` {.python .cell-code}\nfrom tqdm.notebook import tqdm\nimport pandas as pd\nfrom typing import Optional, List, Tuple\nfrom datasets import Dataset\nimport matplotlib.pyplot as plt\n\npd.set_option(\n    \"display.max_colwidth\", None                    # <1>\n) \n```\n:::\n\n\n1. This will be helpful when visualizing retriever outputs\n\n### Load your knowledge base\n\n::: {#acfee5b8 .cell execution_count=4}\n``` {.python .cell-code}\nimport datasets\n\nds = datasets.load_dataset(\"m-ric/huggingface_doc\", split=\"train\")\n```\n:::\n\n\n::: {#40339fbc .cell execution_count=5}\n``` {.python .cell-code}\nfrom langchain.docstore.document import Document as LangchainDocument\n\nRAW_KNOWLEDGE_BASE = [\n    LangchainDocument(page_content=doc[\"text\"], metadata={\"source\": doc[\"source\"]})\n    for doc in tqdm(ds)\n]\n```\n:::\n\n\n# 1. Retriever - embeddings 🗂️\nThe __retriever acts like an internal search engine__: given the user query, it returns a few relevant snippets from your knowledge base.\n\nThese snippets will then be fed to the Reader Model to help it generate its answer.\n\nSo __our objective here is, given a user question, to find the most snippets from our knowledge base to answer that question.__\n\nThis is a wide objective, it leaves open some questions. How many snippets should we retrieve? This parameter will be named `top_k`.\n\nHow long should these snippets be? This is called the `chunk size`. There's no one-size-fits-all answers, but here are a few elements:\n- 🔀 Your `chunk size` is allowed to vary from one snippet to the other.\n- Since there will always be some noise in your retrieval, increasing the `top_k` increases the chance to get relevant elements in your retrieved snippets. 🎯 Shooting more arrows increases your probability to hit your target.\n- Meanwhile, the summed length of your retrieved documents should not be too high: for instance, for most current models 16k tokens will probably drown your Reader model in information due to [Lost-in-the-middle phenomenon](https://huggingface.co/papers/2307.03172). 🎯 Give your reader model only the most relevant insights, not a huge pile of books!\n\n::: callout-note\nIn this notebook, we use Langchain library since __it offers a huge variety of options for vector databases and allows us to keep document metadata throughout the processing__.\n:::\n\n### 1.1 Split the documents into chunks\n\n- In this part, __we split the documents from our knowledge base into smaller chunks__ which will be the snippets on which the reader LLM will base its answer.\n- The goal is to prepare a collection of **semantically relevant snippets**. So their size should be adapted to precise ideas: too small will truncate ideas, too large will dilute them.\n\n::: callout-tip\n💡 Many options exist for text splitting: splitting on words, on sentence boundaries, recursive chunking that processes documents in a tree-like way to preserve structure information... To learn more about chunking, I recommend you read [this great notebook](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb) by Greg Kamradt.\n:::\n\n\n- **Recursive chunking** breaks down the text into smaller parts step by step using a given list of separators sorted from the most important to the least important separator. If the first split doesn't give the right size or shape chunks, the method repeats itself on the new chunks using a different separator. For instance with the list of separators `[\"\\n\\n\", \"\\n\", \".\", \"\"]`:\n    - The method will first break down the document wherever there is a double line break `\"\\n\\n\"`.\n    - Resulting documents will be split again on simple line breaks `\"\\n\"`, then on sentence ends `\".\"`.\n    - And finally, if some chunks are still too big, they will be split whenever they overflow the maximum size.\n\n- With this method, the global structure is well preserved, at the expense of getting slight variations in chunk size.\n\n> [This space](https://huggingface.co/spaces/A-Roucher/chunk_visualizer) lets you visualize how different splitting options affect the chunks you get.\n\n🔬 Let's experiment a bit with chunk sizes, beginning with an arbitrary size, and see how splits work. We use Langchain's implementation of recursive chunking with `RecursiveCharacterTextSplitter`.\n- Parameter `chunk_size` controls the length of individual chunks: this length is counted by default as the number of characters in the chunk.\n- Parameter `chunk_overlap` lets adjacent chunks get a bit of overlap on each other. This reduces the probability that an idea could be cut in half by the split between two adjacent chunks. We ~arbitrarily set this to 1/10th of the chunk size, you could try different values!\n\n::: {#7a7ac95d .cell execution_count=6}\n``` {.python .cell-code}\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\n\n# We use a hierarchical list of separators specifically tailored for splitting Markdown documents\n# This list is taken from LangChain's MarkdownTextSplitter class.\nMARKDOWN_SEPARATORS = [\n    \"\\n#{1,6} \",\n    \"```\\n\",\n    \"\\n\\\\*\\\\*\\\\*+\\n\",\n    \"\\n---+\\n\",\n    \"\\n___+\\n\",\n    \"\\n\\n\",\n    \"\\n\",\n    \" \",\n    \"\",\n]\n\ntext_splitter = RecursiveCharacterTextSplitter(\n    chunk_size=1000,            # <1>\n    chunk_overlap=100,          # <2>\n    add_start_index=True,       # <3>\n    strip_whitespace=True,      # <4>\n    separators=MARKDOWN_SEPARATORS,\n)\n\ndocs_processed = []\nfor doc in RAW_KNOWLEDGE_BASE:\n    docs_processed += text_splitter.split_documents([doc])\n```\n:::\n\n\n1. The maximum number of characters in a chunk: we selected this value arbitrally\n2. The number of characters to overlap between chunks\n3. If `True`, includes chunk's start index in metadata\n4. If `True`, strips whitespace from the start and end of every document\n\n\nWe also have to keep in mind that when embedding documents, we will use an embedding model that has accepts a certain maximum sequence length `max_seq_length`.\n\nSo we should make sure that our chunk sizes are below this limit, because any longer chunk will be truncated before processing, thus losing relevancy.\n\n::: {#174a0a05 .cell execution_count=7}\n``` {.python .cell-code}\nfrom sentence_transformers import SentenceTransformer\n\n# To get the value of the max sequence_length, we will query the underlying `SentenceTransformer` object used in the RecursiveCharacterTextSplitter.\nprint(\n    f\"Model's maximum sequence length: {SentenceTransformer('thenlper/gte-small').max_seq_length}\"\n)\n\nfrom transformers import AutoTokenizer\n\ntokenizer = AutoTokenizer.from_pretrained(\"thenlper/gte-small\")\nlengths = [len(tokenizer.encode(doc.page_content)) for doc in tqdm(docs_processed)]\n\n# Plot the distrubution of document lengths, counted as the number of tokens\nfig = pd.Series(lengths).hist()\nplt.title(\"Distribution of document lengths in the knowledge base (in count of tokens)\")\nplt.show()\n```\n:::\n\n\n👀 As you can see, __the chunk lengths are not aligned with our limit of 512 tokens__, and some documents are above the limit, thus some part of them will be lost in truncation!\n - So we should change the `RecursiveCharacterTextSplitter` class to count length in number of tokens instead of number of characters.\n - Then we can choose a specific chunk size, here we would choose a lower threshold than 512:\n    - smaller documents could allow the split to focus more on specific ideas.\n    - But too small chunks would split sentences in half, thus losing meaning again: the proper tuning is a matter of balance.\n\n::: {#2fa8715e .cell execution_count=8}\n``` {.python .cell-code}\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom transformers import AutoTokenizer\n\nEMBEDDING_MODEL_NAME = \"thenlper/gte-small\"\n\n\ndef split_documents(\n    chunk_size: int,\n    knowledge_base: List[LangchainDocument],\n    tokenizer_name: Optional[str] = EMBEDDING_MODEL_NAME,\n) -> List[LangchainDocument]:\n    \"\"\"\n    Split documents into chunks of maximum size `chunk_size` tokens and return a list of documents.\n    \"\"\"\n    text_splitter = RecursiveCharacterTextSplitter.from_huggingface_tokenizer(\n        AutoTokenizer.from_pretrained(tokenizer_name),\n        chunk_size=chunk_size,\n        chunk_overlap=int(chunk_size / 10),\n        add_start_index=True,\n        strip_whitespace=True,\n        separators=MARKDOWN_SEPARATORS,\n    )\n\n    docs_processed = []\n    for doc in knowledge_base:\n        docs_processed += text_splitter.split_documents([doc])\n\n    # Remove duplicates\n    unique_texts = {}\n    docs_processed_unique = []\n    for doc in docs_processed:\n        if doc.page_content not in unique_texts:\n            unique_texts[doc.page_content] = True\n            docs_processed_unique.append(doc)\n\n    return docs_processed_unique\n\n\ndocs_processed = split_documents(\n    512,  # We choose a chunk size adapted to our model\n    RAW_KNOWLEDGE_BASE,\n    tokenizer_name=EMBEDDING_MODEL_NAME,\n)\n\n# Let's visualize the chunk sizes we would have in tokens from a common model\nfrom transformers import AutoTokenizer\n\ntokenizer = AutoTokenizer.from_pretrained(EMBEDDING_MODEL_NAME)\nlengths = [len(tokenizer.encode(doc.page_content)) for doc in tqdm(docs_processed)]\nfig = pd.Series(lengths).hist()\nplt.title(\"Distribution of document lengths in the knowledge base (in count of tokens)\")\nplt.show()\n```\n:::\n\n\n➡️ Now the chunk length distribution looks better!\n\n### 1.2 Building the vector database\n\nWe want to compute the embeddings for all the chunks of our knowledge base: to learn more on sentence embeddings, we recommend reading [this guide](https://osanseviero.github.io/hackerllama/blog/posts/sentence_embeddings/).\n\n#### How does retrieval work ?\n\nOnce the chunks are all embedded, we store them into a vector database. When the user types in a query, it gets embedded by the same model previously used, and a similarity search returns the closest documents from the vector database.\n\nThe technical challenge is thus, given a query vector, to quickly find the nearest neighbours of this vector in the vector database. To do this, we need to choose two things: a distance, and a search algorithm to find the nearest neighbors quickly within a database of thousands of records.\n\n##### Nearest Neighbor search algorithm\n\nThere are plentiful choices for the nearest neighbor search algorithm: we go with Facebook's [FAISS](https://github.com/facebookresearch/faiss), since FAISS is performant enough for most use cases, and it is well known thus widely implemented.\n\n##### Distances\n\nRegarding distances, you can find a good guide [here](https://osanseviero.github.io/hackerllama/blog/posts/sentence_embeddings/#distance-between-embeddings). In short:\n\n- **Cosine similarity** computes similarity between two vectors as the cosinus of their relative angle: it allows us to compare vector directions are regardless of their magnitude. Using it requires to normalize all vectors, to rescale them into unit norm.\n- **Dot product** takes into account magnitude, with the sometimes undesirable effect that increasing a vector's length will make it more similar to all others.\n- **Euclidean distance** is the distance between the ends of vectors.\n\nYou can try [this small exercise](https://developers.google.com/machine-learning/clustering/similarity/check-your-understanding) to check your understanding of these concepts. But once vectors are normalized, [the choice of a specific distance does not matter much](https://platform.openai.com/docs/guides/embeddings/which-distance-function-should-i-use).\n\nOur particular model works well with cosine similarity, so choose this distance, and we set it up both in the Embedding model, and in the `distance_strategy` argument of our FAISS index. With cosine similarity, we have to normalize our embeddings.\n\n::: {.callout-warning}\n🚨👇 The cell below takes a few minutes to run on A10G!\n:::\n\n::: {#938830be .cell execution_count=9}\n``` {.python .cell-code}\nfrom langchain.vectorstores import FAISS\nfrom langchain_community.embeddings import HuggingFaceEmbeddings\nfrom langchain_community.vectorstores.utils import DistanceStrategy\n\nembedding_model = HuggingFaceEmbeddings(\n    model_name=EMBEDDING_MODEL_NAME,\n    multi_process=True,\n    model_kwargs={\"device\": \"cuda\"},\n    encode_kwargs={\"normalize_embeddings\": True},  # set True for cosine similarity\n)\n\nKNOWLEDGE_VECTOR_DATABASE = FAISS.from_documents(\n    docs_processed, embedding_model, distance_strategy=DistanceStrategy.COSINE\n)\n```\n:::\n\n\n👀 To visualize the search for the closest documents, let's project our embeddings from 384 dimensions down to 2 dimensions using PaCMAP.\n\n::: {.callout-note}\n💡 We chose PaCMAP rather than other techniques such as t-SNE or UMAP, since [it is efficient (preserves local and global structure), robust to initialization parameters and fast](https://www.nature.com/articles/s42003-022-03628-x#Abs1).\n:::\n\n::: {#5ed5a830 .cell execution_count=10}\n``` {.python .cell-code}\n# embed a user query in the same space\nuser_query = \"How to create a pipeline object?\"\nquery_vector = embedding_model.embed_query(user_query)\n```\n:::\n\n\n::: {#206f15a0 .cell execution_count=11}\n``` {.python .cell-code}\nimport pacmap\nimport numpy as np\nimport plotly.express as px\n\nembedding_projector = pacmap.PaCMAP(\n    n_components=2, n_neighbors=None, MN_ratio=0.5, FP_ratio=2.0, random_state=1\n)\n\nembeddings_2d = [\n    list(KNOWLEDGE_VECTOR_DATABASE.index.reconstruct_n(idx, 1)[0])\n    for idx in range(len(docs_processed))\n] + [query_vector]\n\n# fit the data (The index of transformed data corresponds to the index of the original data)\ndocuments_projected = embedding_projector.fit_transform(np.array(embeddings_2d), init=\"pca\")\n```\n:::\n\n\n::: {#249c7a6b .cell execution_count=12}\n``` {.python .cell-code}\ndf = pd.DataFrame.from_dict(\n    [\n        {\n            \"x\": documents_projected[i, 0],\n            \"y\": documents_projected[i, 1],\n            \"source\": docs_processed[i].metadata[\"source\"].split(\"/\")[1],\n            \"extract\": docs_processed[i].page_content[:100] + \"...\",\n            \"symbol\": \"circle\",\n            \"size_col\": 4,\n        }\n        for i in range(len(docs_processed))\n    ]\n    + [\n        {\n            \"x\": documents_projected[-1, 0],\n            \"y\": documents_projected[-1, 1],\n            \"source\": \"User query\",\n            \"extract\": user_query,\n            \"size_col\": 100,\n            \"symbol\": \"star\",\n        }\n    ]\n)\n\n# visualize the embedding\nfig = px.scatter(\n    df,\n    x=\"x\",\n    y=\"y\",\n    color=\"source\",\n    hover_data=\"extract\",\n    size=\"size_col\",\n    symbol=\"symbol\",\n    color_discrete_map={\"User query\": \"black\"},\n    width=1000,\n    height=700,\n)\nfig.update_traces(\n    marker=dict(opacity=1, line=dict(width=0, color=\"DarkSlateGrey\")), selector=dict(mode=\"markers\")\n)\nfig.update_layout(\n    legend_title_text=\"<b>Chunk source</b>\",\n    title=\"<b>2D Projection of Chunk Embeddings via PaCMAP</b>\",\n)\nfig.show()\n```\n:::\n\n\n<img src=\"https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/PaCMAP_embeddings.png\" height=\"700\">\n\n\n➡️ On the graph above, you can see a spatial representation of the kowledge base documents. As the vector embeddings represent the document's meaning, their closeness in meaning should be reflected in their embedding's closeness.\n\nThe user query's embedding is also shown : we want to find the `k` document that have the closest meaning, thus we pick the `k` closest vectors.\n\nIn the LangChain vector database implementation, this search operation is performed by the method `vector_database.similarity_search(query)`.\n\nHere is the result:\n\n::: {#47319e72 .cell execution_count=13}\n``` {.python .cell-code}\nprint(f\"\\nStarting retrieval for {user_query=}...\")\nretrieved_docs = KNOWLEDGE_VECTOR_DATABASE.similarity_search(query=user_query, k=5)\nprint(\"\\n==================================Top document==================================\")\nprint(retrieved_docs[0].page_content)\nprint(\"==================================Metadata==================================\")\nprint(retrieved_docs[0].metadata)\n```\n:::\n\n\n# 2. Reader - LLM 💬\n\nIn this part, the __LLM Reader reads the retrieved context to formulate its answer.__\n\nThere are actually substeps that can all be tuned:\n1. The content of the retrieved documents is aggregated together into the \"context\", with many processing options like _prompt compression_.\n2. The context and the user query are aggregated into a prompt then given to the LLM to generate its answer.\n\n### 2.1. Reader model\n\nThe choice of a reader model is important on a few aspects:\n- the reader model's `max_seq_length` must accomodate our prompt, which includes the context output by the retriever call: the context consists in 5 documents of 512 tokens each, so we aim for a context length of 4k tokens at least.\n- the reader model\n\nFor this example, we chose [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta), a small but powerful model.\n\n::: callout-note\nWith many models being released every week, you may want to substitute this model to the latest and greatest. The best way to keep track of open source LLMs is to check the [Open-source LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n:::\n\nTo make inference faster, we will load the quantized version of the model:\n\n::: {#eaf2beef .cell execution_count=14}\n``` {.python .cell-code}\nfrom transformers import pipeline\nimport torch\nfrom transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig\n\nREADER_MODEL_NAME = \"HuggingFaceH4/zephyr-7b-beta\"\n\nbnb_config = BitsAndBytesConfig(\n    load_in_4bit=True,\n    bnb_4bit_use_double_quant=True,\n    bnb_4bit_quant_type=\"nf4\",\n    bnb_4bit_compute_dtype=torch.bfloat16,\n)\nmodel = AutoModelForCausalLM.from_pretrained(READER_MODEL_NAME, quantization_config=bnb_config)\ntokenizer = AutoTokenizer.from_pretrained(READER_MODEL_NAME)\n\nREADER_LLM = pipeline(\n    model=model,\n    tokenizer=tokenizer,\n    task=\"text-generation\",\n    do_sample=True,\n    temperature=0.2,\n    repetition_penalty=1.1,\n    return_full_text=False,\n    max_new_tokens=500,\n)\n```\n:::\n\n\n::: {#f6f72fd3 .cell execution_count=15}\n``` {.python .cell-code}\nREADER_LLM(\"What is 4+4? Answer:\")\n```\n:::\n\n\n### 2.2. Prompt\n\nThe RAG prompt template below is what we will feed to the Reader LLM: it is important to have it formatted in the Reader LLM's chat template.\n\nWe give it our context and the user's question.\n\n::: {#e28bd1d6 .cell execution_count=16}\n``` {.python .cell-code}\nprompt_in_chat_format = [\n    {\n        \"role\": \"system\",\n        \"content\": \"\"\"Using the information contained in the context,\ngive a comprehensive answer to the question.\nRespond only to the question asked, response should be concise and relevant to the question.\nProvide the number of the source document when relevant.\nIf the answer cannot be deduced from the context, do not give an answer.\"\"\",\n    },\n    {\n        \"role\": \"user\",\n        \"content\": \"\"\"Context:\n{context}\n---\nNow here is the question you need to answer.\n\nQuestion: {question}\"\"\",\n    },\n]\nRAG_PROMPT_TEMPLATE = tokenizer.apply_chat_template(\n    prompt_in_chat_format, tokenize=False, add_generation_prompt=True\n)\nprint(RAG_PROMPT_TEMPLATE)\n```\n:::\n\n\nLet's test our Reader on our previously retrieved documents!\n\n::: {#96c062d3 .cell execution_count=17}\n``` {.python .cell-code}\nretrieved_docs_text = [\n    doc.page_content for doc in retrieved_docs\n]  # we only need the text of the documents\ncontext = \"\\nExtracted documents:\\n\"\ncontext += \"\".join([f\"Document {str(i)}:::\\n\" + doc for i, doc in enumerate(retrieved_docs_text)])\n\nfinal_prompt = RAG_PROMPT_TEMPLATE.format(\n    question=\"How to create a pipeline object?\", context=context\n)\n\n# Redact an answer\nanswer = READER_LLM(final_prompt)[0][\"generated_text\"]\nprint(answer)\n```\n:::\n\n\n### 2.3. Reranking\n\nA good option for RAG is to retrieve more documents than you want in the end, then rerank the results with a more powerful retrieval model before keeping only the `top_k`.\n\nFor this, [Colbertv2](https://arxiv.org/abs/2112.01488) is a great choice: instead of a bi-encoder like our classical embedding models, it is a cross-encoder that computes more fine-grained interactions between the query tokens and each document's tokens.\n\nIt is easily usable thanks to [the RAGatouille library](https://github.com/bclavie/RAGatouille).\n\n::: {#c0298337 .cell execution_count=18}\n``` {.python .cell-code}\nfrom ragatouille import RAGPretrainedModel\n\nRERANKER = RAGPretrainedModel.from_pretrained(\"colbert-ir/colbertv2.0\")\n```\n:::\n\n\n# 3. Assembling it all!\n\n::: {#f7d2b29a .cell execution_count=19}\n``` {.python .cell-code}\nfrom transformers import Pipeline\n\n\ndef answer_with_rag(\n    question: str,\n    llm: Pipeline,\n    knowledge_index: FAISS,\n    reranker: Optional[RAGPretrainedModel] = None,\n    num_retrieved_docs: int = 30,\n    num_docs_final: int = 5,\n) -> Tuple[str, List[LangchainDocument]]:\n    # Gather documents with retriever\n    print(\"=> Retrieving documents...\")\n    relevant_docs = knowledge_index.similarity_search(query=question, k=num_retrieved_docs)\n    relevant_docs = [doc.page_content for doc in relevant_docs]  # keep only the text\n\n    # Optionally rerank results\n    if reranker:\n        print(\"=> Reranking documents...\")\n        relevant_docs = reranker.rerank(question, relevant_docs, k=num_docs_final)\n        relevant_docs = [doc[\"content\"] for doc in relevant_docs]\n\n    relevant_docs = relevant_docs[:num_docs_final]\n\n    # Build the final prompt\n    context = \"\\nExtracted documents:\\n\"\n    context += \"\".join([f\"Document {str(i)}:::\\n\" + doc for i, doc in enumerate(relevant_docs)])\n\n    final_prompt = RAG_PROMPT_TEMPLATE.format(question=question, context=context)\n\n    # Redact an answer\n    print(\"=> Generating answer...\")\n    answer = llm(final_prompt)[0][\"generated_text\"]\n\n    return answer, relevant_docs\n```\n:::\n\n\nLet's see how our RAG pipeline answers a user query.\n\n::: {#06ccd294 .cell execution_count=20}\n``` {.python .cell-code}\nquestion = \"how to create a pipeline object?\"\n\nanswer, relevant_docs = answer_with_rag(\n    question, READER_LLM, KNOWLEDGE_VECTOR_DATABASE, reranker=RERANKER\n)\n```\n:::\n\n\n::: {#f6ece0d2 .cell execution_count=21}\n``` {.python .cell-code}\nprint(\"==================================Answer==================================\")\nprint(f\"{answer}\")\nprint(\"==================================Source docs==================================\")\nfor i, doc in enumerate(relevant_docs):\n    print(f\"Document {i}------------------------------------------------------------\")\n    print(doc)\n```\n:::\n\n\n✅ We now have a fully functional, performant RAG sytem. That's it for today! Congratulations for making it to the end 🥳\n\n\n# To go further 🗺️\n\nThis is not the end of the journey! You can try many steps to improve your RAG system. We recommend doing so in an iterative way: bring small changes to the system and see what improves performance.\n\n### Setting up an evaluation pipeline\n\n- 💬 \"You cannot improve the model performance that you do not measure\", said Gandhi... or at least Llama2 told me he said it. Anyway, you should absolutely start by measuring performance: this means building a small evaluation dataset, then monitor the performance of your RAG system on this evaluation dataset.\n\n### Improving the retriever\n\n🛠️ __You can use these options to tune the results:__\n\n- Tune the chunking method:\n    - Size of the chunks\n    - Method: split on different separators, use [semantic chunking](https://python.langchain.com/docs/modules/data_connection/document_transformers/semantic-chunker)...\n- Change the embedding model\n\n👷‍♀️ __More could be considered:__\n- Try another chunking method, like semantic chunking\n- Change the index used (here, FAISS)\n- Query expansion: reformulate the user query in slightly different ways to retrieve more documents.\n\n### Improving the reader\n\n🛠️ __Here you can try the following options to improve results:__\n- Tune the prompt\n- Switch reranking on/off\n- Choose a more powerful reader model\n\n💡 __Many options could be considered here to further improve the results:__\n- Compress the retrieved context to keep only the most relevant parts to answer the query.\n- Extend the RAG system to make it more user-friendly:\n    - cite source\n    - make conversational\n\n",
+    "supporting": [
+      "advanced_rag_files"
+    ],
+    "filters": [],
+    "includes": {}
+  }
+}

src/.quarto/_freeze/notebooks/rag_evaluation/execute-results/html.json

@@ -0,0 +1,12 @@
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+  "result": {
+    "engine": "jupyter",
+    "markdown": "---\ntitle: RAG Evaluation\njupyter: python3\neval: false\n---\n\n::: {#22784221 .cell execution_count=1}\n``` {.python .cell-code}\n!pip install -q torch transformers transformers langchain sentence-transformers faiss-gpu openpyxl openai\n```\n:::\n\n\n::: {#01b9dea1 .cell execution_count=2}\n``` {.python .cell-code}\n%reload_ext autoreload\n%autoreload 2\n%reload_ext dotenv\n%dotenv\n```\n:::\n\n\n::: {#b2fdd362 .cell execution_count=3}\n``` {.python .cell-code}\nfrom tqdm.notebook import tqdm\nimport pandas as pd\nfrom typing import Optional, List, Tuple\nfrom langchain_core.language_models import BaseChatModel\nimport json\nimport datasets\n\npd.set_option(\"display.max_colwidth\", None)\n```\n:::\n\n\n### Load your knowledge base\n\n::: {#359836ac .cell execution_count=4}\n``` {.python .cell-code}\nds = datasets.load_dataset(\"m-ric/huggingface_doc\", split=\"train\")\n```\n:::\n\n\n# 1. Build a synthetic dataset for evaluation\nWe first build a synthetic dataset of questions and associated contexts. The method is to get elements from our knowledge base, and ask an LLM to generate questions based on these documents.\n\nThen we setup other LLM agents to act as quality filters for the generated QA couples: each of them will act as the filter for a specific flaw.\n\n### 1.1. Prepare source documents\n\n::: {#36f649ad .cell execution_count=5}\n``` {.python .cell-code}\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain.docstore.document import Document as LangchainDocument\n\nlangchain_docs = [\n    LangchainDocument(page_content=doc[\"text\"], metadata={\"source\": doc[\"source\"]})\n    for doc in tqdm(ds)\n]\n\n\ntext_splitter = RecursiveCharacterTextSplitter(\n    chunk_size=2000,\n    chunk_overlap=200,\n    add_start_index=True,\n    separators=[\"\\n\\n\", \"\\n\", \".\", \" \", \"\"],\n)\n\ndocs_processed = []\nfor doc in langchain_docs:\n    docs_processed += text_splitter.split_documents([doc])\n```\n:::\n\n\n### 1.2. Setup agents for question generation\n\nWe use [Mixtral](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) for QA couple generation because it it has excellent performance in leaderboards such as [Chatbot Arena](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard).\n\n::: {#03878328 .cell execution_count=6}\n``` {.python .cell-code}\nfrom langchain_community.llms import HuggingFaceHub\n\nrepo_id = \"mistralai/Mixtral-8x7B-Instruct-v0.1\"\n\nllm = HuggingFaceHub(\n    repo_id=repo_id,\n    task=\"text-generation\",\n    model_kwargs={\n        \"max_new_tokens\": 512,\n        \"top_k\": 30,\n        \"temperature\": 0.1,\n        \"repetition_penalty\": 1.03,\n    },\n)\n```\n:::\n\n\n::: {#67115f45 .cell execution_count=7}\n``` {.python .cell-code}\nfrom langchain_community.chat_models import ChatHuggingFace\n\nchat_model = ChatHuggingFace(llm=llm)\n```\n:::\n\n\n::: {#8a75ff72 .cell execution_count=8}\n``` {.python .cell-code}\nfrom langchain.prompts import ChatPromptTemplate\n\nQA_generation_prompt = \"\"\"\nYour task is to write a factoid question and an answer given a context.\nYour factoid question should be answerable with a specific, concise piece of factual information from the context.\nYour factoid question should be formulated in the same style as questions users could ask in a search engine.\nThis means that your factoid question MUST NOT mention something like \"according to the passage\" or \"context\".\n\nProvide your answer as follows:\n\nOutput:::\nFactoid question: (your factoid question)\nAnswer: (your answer to the factoid question)\n\nNow here is the context.\n\nContext: {context}\\n\nOutput:::\"\"\"\n\nQA_generation_prompt = ChatPromptTemplate.from_template(QA_generation_prompt)\nQA_generation_agent = QA_generation_prompt | chat_model\n```\n:::\n\n\nNow let's generate our QA couples.\nFor this example, we generate only 10 QA couples and will load the rest from the Hub.\n\nBut for your specific knowledge base, given that you want to get at least ~100 test samples, and accounting for the fact that we will filter out around half of these with our critique agents later on, you should generate much more, in the >200 samples.\n\n::: {#66448027 .cell execution_count=9}\n``` {.python .cell-code}\nimport random\n\nN_GENERATIONS = (\n    10  # We intentionally generate only 10 QA couples here for cost and time considerations\n)\n\nprint(f\"Generating {N_GENERATIONS} QA couples...\")\noutputs = []\nfor context in tqdm(random.sample(langchain_docs, N_GENERATIONS)):\n    # Generate QA couple\n    output_QA_couple = QA_generation_agent.invoke({\"context\": context.page_content}).content\n    try:\n        question = output_QA_couple.split(\"Factoid question: \")[1].split(\"Answer: \")[0]\n        answer = output_QA_couple.split(\"Answer: \")[1]\n        outputs.append(\n            {\n                \"context\": context.page_content,\n                \"question\": question,\n                \"answer\": answer,\n                \"source_doc\": context.metadata[\"source\"],\n            }\n        )\n    except:\n        continue\n```\n:::\n\n\n::: {#38586e3e .cell execution_count=10}\n``` {.python .cell-code}\ndisplay(pd.DataFrame(outputs).head(1))\n```\n:::\n\n\n### 1.3. Setup critique agents\n\nThe questions generated by the previous agent can have many flaws: we should do a quality check before validating these questions.\n\nWe thus build critique agents that will rate each question on several criteria, given in [this paper](https://huggingface.co/papers/2312.10003):\n- **Groundedness:** can the question be answered from the given context?\n- **Relevance:** is the question relevant to users? For instance, `\"What is the date when transformers 4.29.1 was released?\"` is not relevant for ML practicioners.\n\nOne last failure case we've noticed is when a function is tailored for the particular setting where the question was generated, but undecipherable by itself, like `\"What is the name of the function used in this guide?\"`.\nWe also build a critique agent for this criteria:\n- **Stand-alone**: is the question understandable free of any context, for someone with domain knowledge/Internet access? The opposite of this would be `What is the function used in this article?` for a question generated from a specific blog article.\n\nWe systematically score functions with all these agents, and whenever the score is too low for any one of the agents, we eliminate the question from our eval dataset.\n\n💡 ___When asking the agents to output a score, we first ask them to produce its rationale. This will help us verify scores, but most importantly, asking it to first output rationale gives the model more tokens to think and elaborate an answer before summarizing it into a single score token.___\n\nWe now build and run these critique agents.\n\n::: {#36f64eeb .cell execution_count=11}\n``` {.python .cell-code}\nquestion_groundedness_critique_prompt = \"\"\"\nYou will be given a context and a question.\nYour task is to provide a 'total rating' scoring how well one can answer the given question unambiguously with the given context.\nGive your answer on a scale of 1 to 5, where 1 means that the question is not answerable at all given the context, and 5 means that the question is clearly and unambiguously answerable with the context.\n\nProvide your answer as follows:\n\nAnswer:::\nEvaluation: (your rationale for the rating)\nTotal rating: (your rating)\n\nNow here are the question and context.\n\nQuestion: {question}\\n\nContext: {context}\\n\nAnswer::: \"\"\"\n\nquestion_relevance_critique_prompt = \"\"\"\nYou will be given a question.\nYour task is to provide a 'total rating' representing how useful this question can be to machine learning developers building NLP applications with the Hugging Face ecosystem.\nGive your answer on a scale of 1 to 5, where 1 means that the question is not useful at all, and 5 means that the question is extremely useful.\n\nProvide your answer as follows:\n\nAnswer:::\nEvaluation: (your rationale for the rating)\nTotal rating: (your rating)\n\nNow here is the question.\n\nQuestion: {question}\\n\nAnswer::: \"\"\"\n\nquestion_standalone_critique_prompt = \"\"\"\nYou will be given a question.\nYour task is to provide a 'total rating' representing how context-independant this question is.\nGive your answer on a scale of 1 to 5, where 1 means that the question only makes sense in a specific context, and 5 means that the question makes sense by itself.\nFor instance, if the question refers to a particular setting, like 'in the context' or 'in the document', the rating must be 1.\nThe questions can contain obscure technical nouns or acronyms like Gradio, Hub, Hugging Face or Space and still be a 5: it must simply be clear to an operator with access to documentation what the question is about.\n\nProvide your answer as follows:\n\nAnswer:::\nEvaluation: (your rationale for the rating)\nTotal rating: (your rating)\n\nNow here is the question.\n\nQuestion: {question}\\n\nAnswer::: \"\"\"\n\nquestion_groundedness_critique_prompt = ChatPromptTemplate.from_template(\n    question_groundedness_critique_prompt\n)\nquestion_groundedness_critique_agent = question_groundedness_critique_prompt | chat_model\n\nquestion_relevance_critique_prompt = ChatPromptTemplate.from_template(\n    question_relevance_critique_prompt\n)\nquestion_relevance_critique_agent = question_relevance_critique_prompt | chat_model\n\nquestion_standalone_critique_prompt = ChatPromptTemplate.from_template(\n    question_standalone_critique_prompt\n)\nquestion_standalone_critique_agent = question_standalone_critique_prompt | chat_model\n```\n:::\n\n\n::: {#36a9f0a0 .cell execution_count=12}\n``` {.python .cell-code}\nprint(\"Generating critique for each QA couple...\")\nfor output in tqdm(outputs):\n    # Critique the generated QA couple\n    question_groundedness_evaluation = question_groundedness_critique_agent.invoke(\n        {\"context\": output[\"context\"], \"question\": output[\"question\"]}\n    ).content\n    question_relevance_evaluation = question_relevance_critique_agent.invoke(\n        {\"question\": output[\"question\"]}\n    ).content\n    question_standalone_evaluation = question_standalone_critique_agent.invoke(\n        {\"question\": output[\"question\"]}\n    ).content\n\n    try:\n        groundedness_score = int(question_groundedness_evaluation.split(\"Total rating: \")[1][0])\n        groundedness_eval = question_groundedness_evaluation.split(\"Total rating: \")[0].split(\n            \"Evaluation: \"\n        )[1]\n        relevance_score = int(question_relevance_evaluation.split(\"Total rating: \")[1][0])\n        relevance_eval = question_relevance_evaluation.split(\"Total rating: \")[0].split(\n            \"Evaluation: \"\n        )[1]\n        standalone_score = int(question_standalone_evaluation.split(\"Total rating: \")[1][0])\n        standalone_eval = question_standalone_evaluation.split(\"Total rating: \")[0].split(\n            \"Evaluation: \"\n        )[1]\n        output.update(\n            {\n                \"groundedness_score\": groundedness_score,\n                \"groundedness_eval\": groundedness_eval,\n                \"relevance_score\": relevance_score,\n                \"relevance_eval\": relevance_eval,\n                \"standalone_score\": standalone_score,\n                \"standalone_eval\": standalone_eval,\n            }\n        )\n    except:\n        continue\n```\n:::\n\n\nNow let us filter out bad questions based on our critique agent scores:\n\n::: {#244dd1b5 .cell execution_count=13}\n``` {.python .cell-code}\nimport pandas as pd\n\npd.set_option(\"display.max_colwidth\", None)\n\ngenerated_questions = pd.DataFrame.from_dict(outputs)\n\nprint(\"Evaluation dataset before filtering:\")\ndisplay(\n    generated_questions[\n        [\"question\", \"answer\", \"groundedness_score\", \"relevance_score\", \"standalone_score\"]\n    ]\n)\ngenerated_questions = generated_questions.loc[\n    (generated_questions[\"groundedness_score\"] >= 4)\n    & (generated_questions[\"relevance_score\"] >= 4)\n    & (generated_questions[\"standalone_score\"] >= 4)\n]\nprint(\"============================================\")\nprint(\"Final evaluation dataset:\")\ndisplay(\n    generated_questions[\n        [\"question\", \"answer\", \"groundedness_score\", \"relevance_score\", \"standalone_score\"]\n    ]\n)\n\neval_dataset = datasets.Dataset.from_pandas(\n    generated_questions, split=\"train\", preserve_index=False\n)\n```\n:::\n\n\nNow our synthetic evaluation dataset is complete! We can evaluate different RAG systems on this evaluation dataset.\n\nWe have generated only a few QA couples here to reduce time and cost. But let's kick start the next part by loading a pre-generated dataset:\n\n::: {#9e9d2a9f .cell execution_count=14}\n``` {.python .cell-code}\neval_dataset = datasets.load_dataset(\"m-ric/huggingface_doc_qa_eval\", split=\"train\")\n```\n:::\n\n\n# 2. Build our RAG System\n\n### 2.1. Preprocessing documents to build our vector database\n\n- In this part, __we split the documents from our knowledge base into smaller chunks__: these will be the snippets that are picked by the Retriever, to then be ingested by the Reader LLM as supporting elements for its answer.\n- The goal is to build semantically relevant snippets: not too small to be sufficient for supporting an answer, and not too large too avoid diluting individual ideas.\n\nMany options exist for text splitting:\n- split every `n` words / characters, but this has the risk of cutting in half paragraphs or even sentences\n- split after `n` words / character, but only on sentence boundaries\n- **recursive split** tries to preserve even more of the document structure, by processing it tree-like way, splitting first on the largest units (chapters) then recursively splitting on smaller units (paragraphs, sentences).\n\nTo learn more about chunking, I recommend you read [this great notebook](https://github.com/FullStackRetrieval-com/RetrievalTutorials/blob/main/5_Levels_Of_Text_Splitting.ipynb) by Greg Kamradt.\n\n[This space](https://huggingface.co/spaces/m-ric/chunk_visualizer) lets you visualize how different splitting options affect the chunks you get.\n\n> In the following, we use Langchain's `RecursiveCharacterTextSplitter`.\n\n💡 _To measure chunk length in our Text Splitter, our length function will not be the count of characters, but the count of tokens in the tokenized text: indeed, for subsequent embedder that processes token, measuring length in tokens is more relevant and empirically performs better._\n\n::: {#94af026d .cell execution_count=15}\n``` {.python .cell-code}\nfrom langchain.docstore.document import Document as LangchainDocument\n\nRAW_KNOWLEDGE_BASE = [\n    LangchainDocument(page_content=doc[\"text\"], metadata={\"source\": doc[\"source\"]})\n    for doc in tqdm(ds)\n]\n```\n:::\n\n\n::: {#13cebd63 .cell execution_count=16}\n``` {.python .cell-code}\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom transformers import AutoTokenizer\n\n\ndef split_documents(\n    chunk_size: int,\n    knowledge_base: List[LangchainDocument],\n    tokenizer_name: str,\n) -> List[LangchainDocument]:\n    \"\"\"\n    Split documents into chunks of size `chunk_size` characters and return a list of documents.\n    \"\"\"\n    text_splitter = RecursiveCharacterTextSplitter.from_huggingface_tokenizer(\n        AutoTokenizer.from_pretrained(tokenizer_name),\n        chunk_size=chunk_size,\n        chunk_overlap=int(chunk_size / 10),\n        add_start_index=True,\n        strip_whitespace=True,\n        separators=[\"\\n\\n\", \"\\n\", \".\", \" \", \"\"],\n    )\n\n    docs_processed = []\n    for doc in knowledge_base:\n        docs_processed += text_splitter.split_documents([doc])\n\n    # Remove duplicates\n    unique_texts = {}\n    docs_processed_unique = []\n    for doc in docs_processed:\n        if doc.page_content not in unique_texts:\n            unique_texts[doc.page_content] = True\n            docs_processed_unique.append(doc)\n\n    return docs_processed_unique\n```\n:::\n\n\n### 2.2. Retriever - embeddings 🗂️\nThe __retriever acts like an internal search engine__: given the user query, it returns the most relevant documents from your knowledge base.\n\n> For the knowledge base, we use Langchain vector databases since __it offers a convenient [FAISS](https://github.com/facebookresearch/faiss) index and allows us to keep document metadata throughout the processing__.\n\n🛠️ __Options included:__\n\n- Tune the chunking method:\n    - Size of the chunks\n    - Method: split on different separators, use [semantic chunking](https://python.langchain.com/docs/modules/data_connection/document_transformers/semantic-chunker)...\n- Change the embedding model\n\n::: {#8f7371a4 .cell execution_count=17}\n``` {.python .cell-code}\nfrom langchain.vectorstores import FAISS\nfrom langchain_community.embeddings import HuggingFaceEmbeddings\nfrom langchain_community.vectorstores.utils import DistanceStrategy\nimport os\n\n\ndef load_embeddings(\n    langchain_docs: List[LangchainDocument],\n    chunk_size: int,\n    embedding_model_name: Optional[str] = \"thenlper/gte-small\",\n) -> FAISS:\n    \"\"\"\n    Creates a FAISS index from the given embedding model and documents. Loads the index directly if it already exists.\n\n    Args:\n        langchain_docs: list of documents\n        chunk_size: size of the chunks to split the documents into\n        embedding_model_name: name of the embedding model to use\n\n    Returns:\n        FAISS index\n    \"\"\"\n    # load embedding_model\n    embedding_model = HuggingFaceEmbeddings(\n        model_name=embedding_model_name,\n        multi_process=True,\n        model_kwargs={\"device\": \"cuda\"},\n        encode_kwargs={\"normalize_embeddings\": True},  # set True to compute cosine similarity\n    )\n\n    # Check if embeddings already exist on disk\n    index_name = f\"index_chunk:{chunk_size}_embeddings:{embedding_model_name.replace('/', '~')}\"\n    index_folder_path = f\"./data/indexes/{index_name}/\"\n    if os.path.isdir(index_folder_path):\n        return FAISS.load_local(\n            index_folder_path,\n            embedding_model,\n            distance_strategy=DistanceStrategy.COSINE,\n        )\n\n    else:\n        print(\"Index not found, generating it...\")\n        docs_processed = split_documents(\n            chunk_size,\n            langchain_docs,\n            embedding_model_name,\n        )\n        knowledge_index = FAISS.from_documents(\n            docs_processed, embedding_model, distance_strategy=DistanceStrategy.COSINE\n        )\n        knowledge_index.save_local(index_folder_path)\n        return knowledge_index\n```\n:::\n\n\n### 2.3. Reader - LLM 💬\n\nIn this part, the __LLM Reader reads the retrieved documents to formulate its answer.__\n\n🛠️ Here we tried the following options to improve results:\n- Switch reranking on/off\n- Change the reader model\n\n::: {#843d7987 .cell execution_count=18}\n``` {.python .cell-code}\nRAG_PROMPT_TEMPLATE = \"\"\"\n<|system|>\nUsing the information contained in the context,\ngive a comprehensive answer to the question.\nRespond only to the question asked, response should be concise and relevant to the question.\nProvide the number of the source document when relevant.\nIf the answer cannot be deduced from the context, do not give an answer.</s>\n<|user|>\nContext:\n{context}\n---\nNow here is the question you need to answer.\n\nQuestion: {question}\n</s>\n<|assistant|>\n\"\"\"\n```\n:::\n\n\n::: {#6884550b .cell execution_count=19}\n``` {.python .cell-code}\nfrom langchain_community.llms import HuggingFaceHub\n\nrepo_id = \"HuggingFaceH4/zephyr-7b-beta\"\nREADER_MODEL_NAME = \"zephyr-7b-beta\"\n\nREADER_LLM = HuggingFaceHub(\n    repo_id=repo_id,\n    task=\"text-generation\",\n    model_kwargs={\n        \"max_new_tokens\": 512,\n        \"top_k\": 30,\n        \"temperature\": 0.1,\n        \"repetition_penalty\": 1.03,\n    },\n)\n```\n:::\n\n\n::: {#143d4d0b .cell execution_count=20}\n``` {.python .cell-code}\nfrom ragatouille import RAGPretrainedModel\nfrom langchain_core.vectorstores import VectorStore\nfrom langchain_core.language_models.llms import LLM\n\n\ndef answer_with_rag(\n    question: str,\n    llm: LLM,\n    knowledge_index: VectorStore,\n    reranker: Optional[RAGPretrainedModel] = None,\n    num_retrieved_docs: int = 30,\n    num_docs_final: int = 7,\n) -> Tuple[str, List[LangchainDocument]]:\n    \"\"\"Answer a question using RAG with the given knowledge index.\"\"\"\n    # Gather documents with retriever\n    relevant_docs = knowledge_index.similarity_search(query=question, k=num_retrieved_docs)\n    relevant_docs = [doc.page_content for doc in relevant_docs]  # keep only the text\n\n    # Optionally rerank results\n    if reranker:\n        relevant_docs = reranker.rerank(question, relevant_docs, k=num_docs_final)\n        relevant_docs = [doc[\"content\"] for doc in relevant_docs]\n\n    relevant_docs = relevant_docs[:num_docs_final]\n\n    # Build the final prompt\n    context = \"\\nExtracted documents:\\n\"\n    context += \"\".join([f\"Document {str(i)}:::\\n\" + doc for i, doc in enumerate(relevant_docs)])\n\n    final_prompt = RAG_PROMPT_TEMPLATE.format(question=question, context=context)\n\n    # Redact an answer\n    answer = llm(final_prompt)\n\n    return answer, relevant_docs\n```\n:::\n\n\n# 3. Benchmarking the RAG system\n\nThe RAG system and the evaluation datasets are now ready. The last step is to judge the RAG system's output on this evlauation dataset.\n\nTo this end, __we setup a judge agent__. ⚖️🤖\n\nOut of [the different RAG evaluation metrics](https://docs.ragas.io/en/latest/concepts/metrics/index.html), we choose to focus only on faithfulness since it the best end-to-end metric of our system's performance.\n\n> We use GPT4 as a judge for its empirically good performance, but you could try with other models such as [kaist-ai/prometheus-13b-v1.0](https://huggingface.co/kaist-ai/prometheus-13b-v1.0) or [BAAI/JudgeLM-33B-v1.0](https://huggingface.co/BAAI/JudgeLM-33B-v1.0).\n\n💡 _In the evaluation prompt, we give a detailed description each metric on the scale 1-5, as is done in [Prometheus's prompt template](https://huggingface.co/kaist-ai/prometheus-13b-v1.0): this helps the model ground its metric precisely. If instead you give the judge LLM a vague scale to work with, the outputs will not be consistent enough between different examples._\n\n💡 _Again, prompting the LLM to output rationale before giving its final score gives it more tokens to help it formalize and elaborate a judgement._\n\n::: {#ce53b5ec .cell execution_count=21}\n``` {.python .cell-code}\ndef run_rag_tests(\n    eval_dataset: datasets.Dataset,\n    llm: BaseChatModel,\n    knowledge_index: VectorStore,\n    output_file: str,\n    reranker: Optional[RAGPretrainedModel] = None,\n    verbose: Optional[bool] = True,\n    test_settings: Optional[str] = None,  # To document the test settings used\n):\n    \"\"\"Runs RAG tests on the given dataset and saves the results to the given output file.\"\"\"\n    try:  # load previous generations if they exist\n        with open(output_file, \"r\") as f:\n            outputs = json.load(f)\n    except:\n        outputs = []\n\n    for example in tqdm(eval_dataset):\n        question = example[\"question\"]\n        if question in [output[\"question\"] for output in outputs]:\n            continue\n\n        answer, relevant_docs = answer_with_rag(question, llm, knowledge_index, reranker=reranker)\n        if verbose:\n            print(\"=======================================================\")\n            print(f\"Question: {question}\")\n            print(f\"Answer: {answer}\")\n            print(f'True answer: {example[\"answer\"]}')\n        result = {\n            \"question\": question,\n            \"true_answer\": example[\"answer\"],\n            \"source_doc\": example[\"source_doc\"],\n            \"generated_answer\": answer,\n            \"retrieved_docs\": [doc for doc in relevant_docs],\n        }\n        if test_settings:\n            result[\"test_settings\"] = test_settings\n        outputs.append(result)\n\n        with open(output_file, \"w\") as f:\n            json.dump(outputs, f)\n```\n:::\n\n\n::: {#49f7ef44 .cell execution_count=22}\n``` {.python .cell-code}\nEVALUATION_PROMPT = \"\"\"###Task Description:\nAn instruction (might include an Input inside it), a response to evaluate, a reference answer that gets a score of 5, and a score rubric representing a evaluation criteria are given.\n1. Write a detailed feedback that assess the quality of the response strictly based on the given score rubric, not evaluating in general.\n2. After writing a feedback, write a score that is an integer between 1 and 5. You should refer to the score rubric.\n3. The output format should look as follows: \\\"Feedback: {{write a feedback for criteria}} [RESULT] {{an integer number between 1 and 5}}\\\"\n4. Please do not generate any other opening, closing, and explanations. Be sure to include [RESULT] in your output.\n\n###The instruction to evaluate:\n{instruction}\n\n###Response to evaluate:\n{response}\n\n###Reference Answer (Score 5):\n{reference_answer}\n\n###Score Rubrics:\n[Is the response correct, accurate, and factual based on the reference answer?]\nScore 1: The response is completely incorrect, inaccurate, and/or not factual.\nScore 2: The response is mostly incorrect, inaccurate, and/or not factual.\nScore 3: The response is somewhat correct, accurate, and/or factual.\nScore 4: The response is mostly correct, accurate, and factual.\nScore 5: The response is completely correct, accurate, and factual.\n\n###Feedback:\"\"\"\n\nfrom langchain.prompts.chat import (\n    ChatPromptTemplate,\n    HumanMessagePromptTemplate,\n)\nfrom langchain.schema import SystemMessage\n\n\nevaluation_prompt_template = ChatPromptTemplate.from_messages(\n    [\n        SystemMessage(content=\"You are a fair evaluator language model.\"),\n        HumanMessagePromptTemplate.from_template(EVALUATION_PROMPT),\n    ]\n)\n```\n:::\n\n\n::: {#b678d8fe .cell execution_count=23}\n``` {.python .cell-code}\nfrom langchain.chat_models import ChatOpenAI\n\neval_chat_model = ChatOpenAI(model=\"gpt-4-1106-preview\", temperature=0)\nevaluator_name = \"GPT4\"\n\n\ndef evaluate_answers(\n    answer_path: str,\n    eval_chat_model: BaseChatModel,\n    evaluator_name: str,\n    evaluation_prompt_template: ChatPromptTemplate,\n) -> None:\n    \"\"\"Evaluates generated answers. Modifies the given answer file in place for better checkpointing.\"\"\"\n    answers = []\n    if os.path.isfile(answer_path):  # load previous generations if they exist\n        answers = json.load(open(answer_path, \"r\"))\n\n    for experiment in tqdm(answers):\n        if f\"eval_score_{evaluator_name}\" in experiment:\n            continue\n\n        eval_prompt = evaluation_prompt_template.format_messages(\n            instruction=experiment[\"question\"],\n            response=experiment[\"generated_answer\"],\n            reference_answer=experiment[\"true_answer\"],\n        )\n        eval_result = eval_chat_model.invoke(eval_prompt)\n        feedback, score = [item.strip() for item in eval_result.content.split(\"[RESULT]\")]\n        experiment[f\"eval_score_{evaluator_name}\"] = score\n        experiment[f\"eval_feedback_{evaluator_name}\"] = feedback\n\n        with open(answer_path, \"w\") as f:\n            json.dump(answers, f)\n```\n:::\n\n\n🚀 Let's run the tests and evaluate answers!👇\n\n::: {#55f9f502 .cell execution_count=24}\n``` {.python .cell-code}\nif not os.path.exists(\"./output\"):\n    os.mkdir(\"./output\")\n\nfor chunk_size in [200]:  # Add other chunk sizes (in tokens) as needed\n    for embeddings in [\"thenlper/gte-small\"]:  # Add other embeddings as needed\n        for rerank in [True, False]:\n            settings_name = f\"chunk:{chunk_size}_embeddings:{embeddings.replace('/', '~')}_rerank:{rerank}_reader-model:{READER_MODEL_NAME}\"\n            output_file_name = f\"./output/rag_{settings_name}.json\"\n\n            print(f\"Running evaluation for {settings_name}:\")\n\n            print(\"Loading knowledge base embeddings...\")\n            knowledge_index = load_embeddings(\n                RAW_KNOWLEDGE_BASE,\n                chunk_size=chunk_size,\n                embedding_model_name=embeddings,\n            )\n\n            print(\"Running RAG...\")\n            reranker = (\n                RAGPretrainedModel.from_pretrained(\"colbert-ir/colbertv2.0\") if rerank else None\n            )\n            run_rag_tests(\n                eval_dataset=eval_dataset,\n                llm=READER_LLM,\n                knowledge_index=knowledge_index,\n                output_file=output_file_name,\n                reranker=reranker,\n                verbose=False,\n                test_settings=settings_name,\n            )\n\n            print(\"Running evaluation...\")\n            evaluate_answers(\n                output_file_name,\n                eval_chat_model,\n                evaluator_name,\n                evaluation_prompt_template,\n            )\n```\n:::\n\n\n### Inspect results\n\n::: {#9fbbe7e3 .cell execution_count=25}\n``` {.python .cell-code}\nimport glob\n\noutputs = []\nfor file in glob.glob(\"./output/*.json\"):\n    output = pd.DataFrame(json.load(open(file, \"r\")))\n    output[\"settings\"] = file\n    outputs.append(output)\nresult = pd.concat(outputs)\n```\n:::\n\n\n::: {#8e32ac07 .cell execution_count=26}\n``` {.python .cell-code}\nresult[\"eval_score_GPT4\"] = result[\"eval_score_GPT4\"].apply(\n    lambda x: int(x) if isinstance(x, str) else 1\n)\nresult[\"eval_score_GPT4\"] = (result[\"eval_score_GPT4\"] - 1) / 4\n```\n:::\n\n\n::: {#14c33cb4 .cell execution_count=27}\n``` {.python .cell-code}\naverage_scores = result.groupby(\"settings\")[\"eval_score_GPT4\"].mean()\naverage_scores.sort_values()\n```\n:::\n\n\n## Example results\n\nLet us load the results that I obtained by tweaking the different options available in this notebook.\nFor more detail on why these options could work on not, see the notebook on [advanced_RAG](advanced_rag).\n\nAs you can see in the graph below, some tweaks do not bring any improvement, some give huge performance boosts.\n\n➡️ ___There is no single good recipe: you should try several different directions when tuning your RAG systems.___\n\n::: {#0f27b105 .cell execution_count=28}\n``` {.python .cell-code}\nimport plotly.express as px\n\nscores = datasets.load_dataset(\"m-ric/rag_scores_cookbook\", split=\"train\")\nscores = pd.Series(scores[\"score\"], index=scores[\"settings\"])\n```\n:::\n\n\n::: {#abdb166c .cell execution_count=29}\n``` {.python .cell-code}\nfig = px.bar(\n    scores,\n    color=scores,\n    labels={\n        \"value\": \"Accuracy\",\n        \"settings\": \"Configuration\",\n    },\n    color_continuous_scale=\"bluered\",\n)\nfig.update_layout(w\n    width=1000,\n    height=600,\n    barmode=\"group\",\n    yaxis_range=[0, 100],\n    title=\"<b>Accuracy of different RAG configurations</b>\",\n    xaxis_title=\"RAG settings\",\n    font=dict(size=15),\n)\nfig.layout.yaxis.ticksuffix = \"%\"\nfig.update_coloraxes(showscale=False)\nfig.update_traces(texttemplate=\"%{y:.1f}\", textposition=\"outside\")\nfig.show()\n```\n:::\n\n\n<img src=\"https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/RAG_settings_accuracy.png\" height=\"500\" width=\"800\">\n\nAs you can see, these had varying impact on performance. In particular, tuning the chunk size is both easy and very impactful.\n\nBut this is our case: your results could be very different: now that you have a robust evaluation pipeline, you can set on to explore other options! 🗺️\n\n",
+    "supporting": [
+      "rag_evaluation_files"
+    ],
+    "filters": [],
+    "includes": {}
+  }
+}

src/.quarto/_freeze/notebooks/rag_zephyr_langchain/execute-results/html.json

@@ -0,0 +1,12 @@
+{
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+  "result": {
+    "engine": "jupyter",
+    "markdown": "---\ntitle: Simple RAG\njupyter: python3\neval: false\ncode-annotations: hover\n\n---\n\n::: {#78116675 .cell execution_count=1}\n``` {.python .cell-code}\n!pip install -q torch transformers accelerate bitsandbytes transformers sentence-transformers faiss-gpu\n```\n:::\n\n\n::: {#be6b2c06 .cell execution_count=2}\n``` {.python .cell-code}\n!pip install -q langchain\n```\n:::\n\n\n::: callout-note\nIf running in Google Colab, you may need to run this cell to make sure you're using UTF-8 locale to install LangChain\n\n::: {#4dc3a73a .cell execution_count=3}\n``` {.python .cell-code}\nimport locale\nlocale.getpreferredencoding = lambda: \"UTF-8\"\n```\n:::\n\n\n:::\n\n\n## Prepare the data\n\nIn this example, we'll load all of the issues (both open and closed) from [PEFT library's repo](https://github.com/huggingface/peft).\n\nFirst, you need to acquire a [GitHub personal access token](https://github.com/settings/tokens?type=beta) to access the GitHub API.\n\n::: {#99d8d506 .cell execution_count=4}\n``` {.python .cell-code}\nfrom getpass import getpass\n\nACCESS_TOKEN = getpass(\"YOUR_GITHUB_PERSONAL_TOKEN\")  # <1>\n```\n:::\n\n\n1. You can also use an environment variable to store your token.\n\nNext, we'll load all of the issues in the [huggingface/peft](https://github.com/huggingface/peft) repo:\n- By default, pull requests are considered issues as well, here we chose to exclude them from data with by setting `include_prs=False`\n- Setting `state = \"all\"` means we will load both open and closed issues.\n\n::: {#4aba18cd .cell execution_count=5}\n``` {.python .cell-code}\nfrom langchain.document_loaders import GitHubIssuesLoader\n\nloader = GitHubIssuesLoader(\n    repo=\"huggingface/peft\",\n    access_token=ACCESS_TOKEN,\n    include_prs=False,\n    state=\"all\"\n)\n\ndocs = loader.load()\n```\n:::\n\n\nThe content of individual GitHub issues may be longer than what an embedding model can take as input. If we want to embed all of the available content, we need to chunk the documents into appropriately sized pieces.\n\nThe most common and straightforward approach to chunking is to define a fixed size of chunks and whether there should be any overlap between them. Keeping some overlap between chunks allows us to preserve some semantic context between the chunks.\n\nOther approaches are typically more involved and take into account the documents' structure and context. For example, one may want to split a document based on sentences or paragraphs, or create chunks based on the\n\nThe fixed-size chunking, however, works well for most common cases, so that is what we'll do here.\n\n::: {#1ee02e26 .cell execution_count=6}\n``` {.python .cell-code}\nfrom langchain.text_splitter import CharacterTextSplitter\n\nsplitter = CharacterTextSplitter(chunk_size=512, chunk_overlap=30)\n\nchunked_docs = splitter.split_documents(docs)\n```\n:::\n\n\n## Create the embeddings + retriever\n\nNow that the docs are all of the appropriate size, we can create a database with their embeddings.\n\nTo create document chunk embeddings we'll use the `HuggingFaceEmbeddings` and the [`BAAI/bge-base-en-v1.5`](https://huggingface.co/BAAI/bge-base-en-v1.5) embeddings model. To create the vector database, we'll use `FAISS`, a library developed by Facebook AI. This library offers efficient similarity search and clustering of dense vectors, which is what we need here. FAISS is currently one of the most used libraries for NN search in massive datasets. \n\n::: callout-tip\nThere are many other embeddings models available on the Hub, and you can keep an eye on the best performing ones by checking the [Massive Text Embedding Benchmark (MTEB) Leaderboard](https://huggingface.co/spaces/mteb/leaderboard).\n:::\n\nWe'll access both the embeddings model and FAISS via LangChain API.\n\n::: {#3342a691 .cell execution_count=7}\n``` {.python .cell-code}\nfrom langchain.vectorstores import FAISS\nfrom langchain.embeddings import HuggingFaceEmbeddings\n\ndb = FAISS.from_documents(chunked_docs,\n                          HuggingFaceEmbeddings(model_name='BAAI/bge-base-en-v1.5'))\n```\n:::\n\n\nWe need a way to return(retrieve) the documents given an unstructured query. For that, we'll use the `as_retriever` method using the `db` as a backbone:\n- `search_type=\"similarity\"` means we want to perform similarity search between the query and documents\n- `search_kwargs={'k': 4}` instructs the retriever to return top 4 results.\n\n::: {#28bd25f2 .cell execution_count=8}\n``` {.python .cell-code}\nretriever = db.as_retriever(\n    search_type=\"similarity\",            # <1>\n    search_kwargs={'k': 4}               # <1>\n)\n```\n:::\n\n\n1. The ideal search type is context dependent, and you should experiment to find the best one for your data.\n\nThe vector database and retriever are now set up, next we need to set up the next piece of the chain - the model.\n\n## Load quantized model\n\nFor this example, we chose [`HuggingFaceH4/zephyr-7b-beta`](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta), a small but powerful model.\nTo make inference faster, we will load the quantized version of the model:\n\n:::::: {.callout-tip}\nWith many models being released every week, you may want to substitute this model to the latest and greatest. The best way to keep track of open source LLMs is to check the [Open-source LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n:::\n\n::: {#e5288d87 .cell execution_count=9}\n``` {.python .cell-code}\nimport torch\nfrom transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig\n\nmodel_name = 'HuggingFaceH4/zephyr-7b-beta'\n\nbnb_config = BitsAndBytesConfig(\n    load_in_4bit=True,\n    bnb_4bit_use_double_quant=True,\n    bnb_4bit_quant_type=\"nf4\",\n    bnb_4bit_compute_dtype=torch.bfloat16\n)\n\nmodel = AutoModelForCausalLM.from_pretrained(model_name, quantization_config=bnb_config)\ntokenizer = AutoTokenizer.from_pretrained(model_name)\n```\n:::\n\n\n## Setup the LLM chain\n\nFinally, we have all the pieces we need to set up the LLM chain.\n\nFirst, create a text_generation pipeline using the loaded model and its tokenizer.\n\nNext, create a prompt template - this should follow the format of the model, so if you substitute the model checkpoint, make sure to use the appropriate formatting.\n\n::: {#389798fe .cell execution_count=10}\n``` {.python .cell-code}\nfrom langchain.llms import HuggingFacePipeline\nfrom langchain.prompts import PromptTemplate\nfrom transformers import pipeline\nfrom langchain_core.output_parsers import StrOutputParser\n\ntext_generation_pipeline = pipeline(\n    model=model,                # <1> \n    tokenizer=tokenizer,        # <2> \n    task=\"text-generation\",     # <3> \n    temperature=0.2,            # <4> \n    do_sample=True,             # <5> \n    repetition_penalty=1.1,     # <6> \n    return_full_text=True,      # <7> \n    max_new_tokens=400,         # <8> \n)\n\nllm = HuggingFacePipeline(pipeline=text_generation_pipeline)\n\nprompt_template = \"\"\"\n<|system|>\nAnswer the question based on your knowledge. Use the following context to help:\n\n{context}\n\n</s>\n<|user|>\n{question}\n</s>\n<|assistant|>\n\n \"\"\"\n\nprompt = PromptTemplate(\n    input_variables=[\"context\", \"question\"],\n    template=prompt_template,\n)\n\nllm_chain = prompt | llm | StrOutputParser()\n```\n:::\n\n\n1. The pre-trained model for text generation.\n2. Tokenizer to preprocess input text and postprocess generated output.\n3. Specifies the task as text generation.\n4. Controls the randomness in the output generation. Lower values make the output more deterministic.\n5. Enables sampling to introduce randomness in the output generation.\n6. Penalizes repetition in the output to encourage diversity.\n7. Returns the full generated text including the input prompt.\n8. Limits the maximum number of new tokens generated.\n\nNote: _You can also use `tokenizer.apply_chat_template` to convert a list of messages (as dicts: `{'role': 'user', 'content': '(...)'}`) into a string with the appropriate chat format._\n\n\nFinally, we need to combine the `llm_chain` with the retriever to create a RAG chain. We pass the original question through to the final generation step, as well as the retrieved context docs:\n\n::: {#2ad1978e .cell execution_count=11}\n``` {.python .cell-code}\nfrom langchain_core.runnables import RunnablePassthrough\n\nretriever = db.as_retriever()\n\nrag_chain = (\n {\"context\": retriever, \"question\": RunnablePassthrough()}\n    | llm_chain\n)\n```\n:::\n\n\n## Compare the results\n\nLet's see the difference RAG makes in generating answers to the library-specific questions.\n\n::: {#aa570a95 .cell execution_count=12}\n``` {.python .cell-code}\nquestion = \"How do you combine multiple adapters?\"\n```\n:::\n\n\nFirst, let's see what kind of answer we can get with just the model itself, no context added:\n\n::: {#3c1688aa .cell execution_count=13}\n``` {.python .cell-code}\nllm_chain.invoke({\"context\":\"\", \"question\": question})\n```\n:::\n\n\nAs you can see, the model interpreted the question as one about physical computer adapters, while in the context of PEFT, \"adapters\" refer to LoRA adapters.\nLet's see if adding context from GitHub issues helps the model give a more relevant answer:\n\n::: {#57388c24 .cell execution_count=14}\n``` {.python .cell-code}\nrag_chain.invoke(question)\n```\n:::\n\n\nAs we can see, the added context, really helps the exact same model, provide a much more relevant and informed answer to the library-specific question.\n\nNotably, combining multiple adapters for inference has been added to the library, and one can find this information in the documentation, so for the next iteration of this RAG it may be worth including documentation embeddings.\n\n",
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+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
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src/.quarto/_freeze/site_libs/revealjs/dist/reset.css

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+del, dfn, em, img, ins, kbd, q, s, samp,
+small, strike, strong, sub, sup, tt, var,
+b, u, i, center,
+dl, dt, dd, ol, ul, li,
+fieldset, form, label, legend,
+table, caption, tbody, tfoot, thead, tr, th, td,
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+figure, figcaption, footer, header, hgroup,
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+time, mark, audio, video {
+  margin: 0;
+  padding: 0;
+  border: 0;
+  font-size: 100%;
+  font: inherit;
+  vertical-align: baseline;
+}
+/* HTML5 display-role reset for older browsers */
+article, aside, details, figcaption, figure,
+footer, header, hgroup, main, menu, nav, section {
+  display: block;
+}

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src/.quarto/_freeze/site_libs/revealjs/dist/theme/fonts/league-gothic/LICENSE

@@ -0,0 +1,2 @@
+SIL Open Font License (OFL)
+http://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=OFL

src/.quarto/_freeze/site_libs/revealjs/dist/theme/fonts/league-gothic/league-gothic.css

@@ -0,0 +1,10 @@
+@font-face {
+    font-family: 'League Gothic';
+    src: url('./league-gothic.eot');
+    src: url('./league-gothic.eot?#iefix') format('embedded-opentype'),
+         url('./league-gothic.woff') format('woff'),
+         url('./league-gothic.ttf') format('truetype');
+
+    font-weight: normal;
+    font-style: normal;
+}

src/.quarto/_freeze/site_libs/revealjs/dist/theme/fonts/source-sans-pro/LICENSE

@@ -0,0 +1,45 @@
+SIL Open Font License
+
+Copyright 2010, 2012 Adobe Systems Incorporated (http://www.adobe.com/), with Reserved Font Name ‘Source’. All Rights Reserved. Source is a trademark of Adobe Systems Incorporated in the United States and/or other countries.
+
+This Font Software is licensed under the SIL Open Font License, Version 1.1.
+This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL
+
+—————————————————————————————-
+SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
+—————————————————————————————-
+
+PREAMBLE
+The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others.
+
+The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives.
+
+DEFINITIONS
+“Font Software” refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation.
+
+“Reserved Font Name” refers to any names specified as such after the copyright statement(s).
+
+“Original Version” refers to the collection of Font Software components as distributed by the Copyright Holder(s).
+
+“Modified Version” refers to any derivative made by adding to, deleting, or substituting—in part or in whole—any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment.
+
+“Author” refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software.
+
+PERMISSION & CONDITIONS
+Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions:
+
+1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself.
+
+2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user.
+
+3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users.
+
+4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission.
+
+5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software.
+
+TERMINATION
+This license becomes null and void if any of the above conditions are not met.
+
+DISCLAIMER
+THE FONT SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE.

src/.quarto/_freeze/site_libs/revealjs/dist/theme/fonts/source-sans-pro/source-sans-pro.css

@@ -0,0 +1,39 @@
+@font-face {
+    font-family: 'Source Sans Pro';
+    src: url('./source-sans-pro-regular.eot');
+    src: url('./source-sans-pro-regular.eot?#iefix') format('embedded-opentype'),
+         url('./source-sans-pro-regular.woff') format('woff'),
+         url('./source-sans-pro-regular.ttf') format('truetype');
+    font-weight: normal;
+    font-style: normal;
+}
+
+@font-face {
+    font-family: 'Source Sans Pro';
+    src: url('./source-sans-pro-italic.eot');
+    src: url('./source-sans-pro-italic.eot?#iefix') format('embedded-opentype'),
+         url('./source-sans-pro-italic.woff') format('woff'),
+         url('./source-sans-pro-italic.ttf') format('truetype');
+    font-weight: normal;
+    font-style: italic;
+}
+
+@font-face {
+    font-family: 'Source Sans Pro';
+    src: url('./source-sans-pro-semibold.eot');
+    src: url('./source-sans-pro-semibold.eot?#iefix') format('embedded-opentype'),
+         url('./source-sans-pro-semibold.woff') format('woff'),
+         url('./source-sans-pro-semibold.ttf') format('truetype');
+    font-weight: 600;
+    font-style: normal;
+}
+
+@font-face {
+    font-family: 'Source Sans Pro';
+    src: url('./source-sans-pro-semibolditalic.eot');
+    src: url('./source-sans-pro-semibolditalic.eot?#iefix') format('embedded-opentype'),
+         url('./source-sans-pro-semibolditalic.woff') format('woff'),
+         url('./source-sans-pro-semibolditalic.ttf') format('truetype');
+    font-weight: 600;
+    font-style: italic;
+}

src/.quarto/_freeze/site_libs/revealjs/dist/theme/quarto-5b48f34d633aed70c74c672477009ffc.css

@@ -0,0 +1,8 @@
+@import"./fonts/source-sans-pro/source-sans-pro.css";:root{--r-background-color: #191919;--r-main-font: Source Sans Pro, Helvetica, sans-serif;--r-main-font-size: 40px;--r-main-color: #fff;--r-block-margin: 12px;--r-heading-margin: 0 0 12px 0;--r-heading-font: Source Sans Pro, Helvetica, sans-serif;--r-heading-color: #fff;--r-heading-line-height: 1.2;--r-heading-letter-spacing: normal;--r-heading-text-transform: none;--r-heading-text-shadow: none;--r-heading-font-weight: 600;--r-heading1-text-shadow: none;--r-heading1-size: 2.5em;--r-heading2-size: 1.6em;--r-heading3-size: 1.3em;--r-heading4-size: 1em;--r-code-font: SFMono-Regular, Menlo, Monaco, Consolas, Liberation Mono, Courier New, monospace;--r-link-color: #42affa;--r-link-color-dark: #068de9;--r-link-color-hover: #74c4fb;--r-selection-background-color: #bee4fd;--r-selection-color: #191919;--r-overlay-element-bg-color: 240, 240, 240;--r-overlay-element-fg-color: 0, 0, 0}.reveal-viewport{background:#191919;background-color:var(--r-background-color)}.reveal{font-family:var(--r-main-font);font-size:var(--r-main-font-size);font-weight:normal;color:var(--r-main-color)}.reveal ::selection{color:var(--r-selection-color);background:var(--r-selection-background-color);text-shadow:none}.reveal ::-moz-selection{color:var(--r-selection-color);background:var(--r-selection-background-color);text-shadow:none}.reveal .slides section,.reveal .slides section>section{line-height:1.3;font-weight:inherit}.reveal h1,.reveal h2,.reveal h3,.reveal h4,.reveal h5,.reveal h6{margin:var(--r-heading-margin);color:var(--r-heading-color);font-family:var(--r-heading-font);font-weight:var(--r-heading-font-weight);line-height:var(--r-heading-line-height);letter-spacing:var(--r-heading-letter-spacing);text-transform:var(--r-heading-text-transform);text-shadow:var(--r-heading-text-shadow);word-wrap:break-word}.reveal h1{font-size:var(--r-heading1-size)}.reveal 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auto;padding:5px;font-style:italic;background:rgba(255,255,255,.05);box-shadow:0px 0px 2px rgba(0,0,0,.2)}.reveal blockquote p:first-child,.reveal blockquote p:last-child{display:inline-block}.reveal q{font-style:italic}.reveal pre{display:block;position:relative;width:90%;margin:var(--r-block-margin) auto;text-align:left;font-size:.55em;font-family:var(--r-code-font);line-height:1.2em;word-wrap:break-word;box-shadow:0px 5px 15px rgba(0,0,0,.15)}.reveal code{font-family:var(--r-code-font);text-transform:none;tab-size:2}.reveal pre code{display:block;padding:5px;overflow:auto;max-height:400px;word-wrap:normal}.reveal .code-wrapper{white-space:normal}.reveal .code-wrapper code{white-space:pre}.reveal table{margin:auto;border-collapse:collapse;border-spacing:0}.reveal table th{font-weight:bold}.reveal table th,.reveal table td{text-align:left;padding:.2em .5em .2em .5em;border-bottom:1px solid}.reveal table th[align=center],.reveal table td[align=center]{text-align:center}.reveal table 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.widget-subarea{margin-bottom:1em}.cell-output-display:not(.no-overflow-x),.knitsql-table:not(.no-overflow-x){overflow-x:auto}.panel-input{margin-bottom:1em}.panel-input>div,.panel-input>div>div{display:inline-block;vertical-align:top;padding-right:12px}.panel-input>p:last-child{margin-bottom:0}.layout-sidebar{margin-bottom:1em}.layout-sidebar .tab-content{border:none}.tab-content>.page-columns.active{display:grid}div.sourceCode>iframe{width:100%;height:300px;margin-bottom:-0.5em}a{text-underline-offset:3px}.callout pre.sourceCode{padding-left:0}div.ansi-escaped-output{font-family:monospace;display:block}/*!
+*
+* ansi colors from IPython notebook's
+*
+* we also add `bright-[color]-` synonyms for the `-[color]-intense` classes since
+* that seems to be what ansi_up emits
+*
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src/.quarto/_freeze/site_libs/revealjs/plugin/highlight/monokai.css

@@ -0,0 +1,71 @@
+/*
+Monokai style - ported by Luigi Maselli - http://grigio.org
+*/
+
+.hljs {
+  display: block;
+  overflow-x: auto;
+  padding: 0.5em;
+  background: #272822;
+  color: #ddd;
+}
+
+.hljs-tag,
+.hljs-keyword,
+.hljs-selector-tag,
+.hljs-literal,
+.hljs-strong,
+.hljs-name {
+  color: #f92672;
+}
+
+.hljs-code {
+  color: #66d9ef;
+}
+
+.hljs-class .hljs-title {
+  color: white;
+}
+
+.hljs-attribute,
+.hljs-symbol,
+.hljs-regexp,
+.hljs-link {
+  color: #bf79db;
+}
+
+.hljs-string,
+.hljs-bullet,
+.hljs-subst,
+.hljs-title,
+.hljs-section,
+.hljs-emphasis,
+.hljs-type,
+.hljs-built_in,
+.hljs-builtin-name,
+.hljs-selector-attr,
+.hljs-selector-pseudo,
+.hljs-addition,
+.hljs-variable,
+.hljs-template-tag,
+.hljs-template-variable {
+  color: #a6e22e;
+}
+
+.hljs-comment,
+.hljs-quote,
+.hljs-deletion,
+.hljs-meta {
+  color: #75715e;
+}
+
+.hljs-keyword,
+.hljs-selector-tag,
+.hljs-literal,
+.hljs-doctag,
+.hljs-title,
+.hljs-section,
+.hljs-type,
+.hljs-selector-id {
+  font-weight: bold;
+}

src/.quarto/_freeze/site_libs/revealjs/plugin/highlight/plugin.js

@@ -0,0 +1,439 @@
+import hljs from 'highlight.js';
+
+/* highlightjs-line-numbers.js 2.8.0 | (C) 2018 Yauheni Pakala | MIT License | github.com/wcoder/highlightjs-line-numbers.js */
+!function(r,o){"use strict";var e,i="hljs-ln",l="hljs-ln-line",h="hljs-ln-code",s="hljs-ln-numbers",c="hljs-ln-n",m="data-line-number",a=/\r\n|\r|\n/g;function u(e){for(var n=e.toString(),t=e.anchorNode;"TD"!==t.nodeName;)t=t.parentNode;for(var r=e.focusNode;"TD"!==r.nodeName;)r=r.parentNode;var o=parseInt(t.dataset.lineNumber),a=parseInt(r.dataset.lineNumber);if(o==a)return n;var i,l=t.textContent,s=r.textContent;for(a<o&&(i=o,o=a,a=i,i=l,l=s,s=i);0!==n.indexOf(l);)l=l.slice(1);for(;-1===n.lastIndexOf(s);)s=s.slice(0,-1);for(var c=l,u=function(e){for(var n=e;"TABLE"!==n.nodeName;)n=n.parentNode;return n}(t),d=o+1;d<a;++d){var f=p('.{0}[{1}="{2}"]',[h,m,d]);c+="\n"+u.querySelector(f).textContent}return c+="\n"+s}function n(e){try{var n=o.querySelectorAll("code.hljs,code.nohighlight");for(var t in n)n.hasOwnProperty(t)&&(n[t].classList.contains("nohljsln")||d(n[t],e))}catch(e){r.console.error("LineNumbers error: ",e)}}function d(e,n){if("object"==typeof e)e.innerHTML=f(e,n)}function f(e,n){var t,r,o=(t=e,{singleLine:function(e){return!!e.singleLine&&e.singleLine}(r=(r=n)||{}),startFrom:function(e,n){var t=1;isFinite(n.startFrom)&&(t=n.startFrom);var r=function(e,n){return e.hasAttribute(n)?e.getAttribute(n):null}(e,"data-ln-start-from");return null!==r&&(t=function(e,n){if(!e)return n;var t=Number(e);return isFinite(t)?t:n}(r,1)),t}(t,r)});return function e(n){var t=n.childNodes;for(var r in t){var o;t.hasOwnProperty(r)&&(o=t[r],0<(o.textContent.trim().match(a)||[]).length&&(0<o.childNodes.length?e(o):v(o.parentNode)))}}(e),function(e,n){var t=g(e);""===t[t.length-1].trim()&&t.pop();if(1<t.length||n.singleLine){for(var r="",o=0,a=t.length;o<a;o++)r+=p('<tr><td class="{0} {1}" {3}="{5}"><div class="{2}" {3}="{5}"></div></td><td class="{0} {4}" {3}="{5}">{6}</td></tr>',[l,s,c,m,h,o+n.startFrom,0<t[o].length?t[o]:" "]);return p('<table class="{0}">{1}</table>',[i,r])}return e}(e.innerHTML,o)}function v(e){var n=e.className;if(/hljs-/.test(n)){for(var t=g(e.innerHTML),r=0,o="";r<t.length;r++){o+=p('<span class="{0}">{1}</span>\n',[n,0<t[r].length?t[r]:" "])}e.innerHTML=o.trim()}}function g(e){return 0===e.length?[]:e.split(a)}function p(e,t){return e.replace(/\{(\d+)\}/g,function(e,n){return void 0!==t[n]?t[n]:e})}hljs?(hljs.initLineNumbersOnLoad=function(e){"interactive"===o.readyState||"complete"===o.readyState?n(e):r.addEventListener("DOMContentLoaded",function(){n(e)})},hljs.lineNumbersBlock=d,hljs.lineNumbersValue=function(e,n){if("string"!=typeof e)return;var t=document.createElement("code");return t.innerHTML=e,f(t,n)},(e=o.createElement("style")).type="text/css",e.innerHTML=p(".{0}{border-collapse:collapse}.{0} td{padding:0}.{1}:before{content:attr({2})}",[i,c,m]),o.getElementsByTagName("head")[0].appendChild(e)):r.console.error("highlight.js not detected!"),document.addEventListener("copy",function(e){var n,t=window.getSelection();!function(e){for(var n=e;n;){if(n.className&&-1!==n.className.indexOf("hljs-ln-code"))return 1;n=n.parentNode}}(t.anchorNode)||(n=-1!==window.navigator.userAgent.indexOf("Edge")?u(t):t.toString(),e.clipboardData.setData("text/plain",n),e.preventDefault())})}(window,document);
+
+
+/*!
+ * reveal.js plugin that adds syntax highlight support.
+ */
+
+const Plugin = {
+
+	id: 'highlight',
+
+	HIGHLIGHT_STEP_DELIMITER: '|',
+	HIGHLIGHT_LINE_DELIMITER: ',',
+	HIGHLIGHT_LINE_RANGE_DELIMITER: '-',
+
+	hljs,
+
+	/**
+	 * Highlights code blocks within the given deck.
+	 *
+	 * Note that this can be called multiple times if
+	 * there are multiple presentations on one page.
+	 *
+	 * @param {Reveal} reveal the reveal.js instance
+	 */
+	init: function( reveal ) {
+
+		// Read the plugin config options and provide fallbacks
+		let config = reveal.getConfig().highlight || {};
+
+		config.highlightOnLoad = typeof config.highlightOnLoad === 'boolean' ? config.highlightOnLoad : true;
+		config.escapeHTML = typeof config.escapeHTML === 'boolean' ? config.escapeHTML : true;
+
+		Array.from( reveal.getRevealElement().querySelectorAll( 'pre code' ) ).forEach( block => {
+
+			block.parentNode.classList.add('code-wrapper');
+
+			// Code can optionally be wrapped in script template to avoid
+			// HTML being parsed by the browser (i.e. when you need to
+			// include <, > or & in your code).
+			let substitute = block.querySelector( 'script[type="text/template"]' );
+			if( substitute ) {
+				// textContent handles the HTML entity escapes for us
+				block.textContent = substitute.innerHTML;
+			}
+
+			// Trim whitespace if the "data-trim" attribute is present
+			if( block.hasAttribute( 'data-trim' ) && typeof block.innerHTML.trim === 'function' ) {
+				block.innerHTML = betterTrim( block );
+			}
+
+			// Escape HTML tags unless the "data-noescape" attrbute is present
+			if( config.escapeHTML && !block.hasAttribute( 'data-noescape' )) {
+				block.innerHTML = block.innerHTML.replace( /</g,"&lt;").replace(/>/g, '&gt;' );
+			}
+
+			// Re-highlight when focus is lost (for contenteditable code)
+			block.addEventListener( 'focusout', function( event ) {
+				hljs.highlightElement( event.currentTarget );
+			}, false );
+
+		} );
+
+		// Triggers a callback function before we trigger highlighting
+		if( typeof config.beforeHighlight === 'function' ) {
+			config.beforeHighlight( hljs );
+		}
+
+		// Run initial highlighting for all code
+		if( config.highlightOnLoad ) {
+			Array.from( reveal.getRevealElement().querySelectorAll( 'pre code' ) ).forEach( block => {
+				Plugin.highlightBlock( block );
+			} );
+		}
+
+		// If we're printing to PDF, scroll the code highlights of
+		// all blocks in the deck into view at once
+		reveal.on( 'pdf-ready', function() {
+			[].slice.call( reveal.getRevealElement().querySelectorAll( 'pre code[data-line-numbers].current-fragment' ) ).forEach( function( block ) {
+				Plugin.scrollHighlightedLineIntoView( block, {}, true );
+			} );
+		} );
+
+	},
+
+	/**
+	 * Highlights a code block. If the <code> node has the
+	 * 'data-line-numbers' attribute we also generate slide
+	 * numbers.
+	 *
+	 * If the block contains multiple line highlight steps,
+	 * we clone the block and create a fragment for each step.
+	 */
+	highlightBlock: function( block ) {
+
+		hljs.highlightElement( block );
+
+		// Don't generate line numbers for empty code blocks
+		if( block.innerHTML.trim().length === 0 ) return;
+
+		if( block.hasAttribute( 'data-line-numbers' ) ) {
+			hljs.lineNumbersBlock( block, { singleLine: true } );
+
+			var scrollState = { currentBlock: block };
+
+			// If there is more than one highlight step, generate
+			// fragments
+			var highlightSteps = Plugin.deserializeHighlightSteps( block.getAttribute( 'data-line-numbers' ) );
+			if( highlightSteps.length > 1 ) {
+
+				// If the original code block has a fragment-index,
+				// each clone should follow in an incremental sequence
+				var fragmentIndex = parseInt( block.getAttribute( 'data-fragment-index' ), 10 );
+
+				if( typeof fragmentIndex !== 'number' || isNaN( fragmentIndex ) ) {
+					fragmentIndex = null;
+				}
+
+				// Generate fragments for all steps except the original block
+				highlightSteps.slice(1).forEach( function( highlight ) {
+
+					var fragmentBlock = block.cloneNode( true );
+					fragmentBlock.setAttribute( 'data-line-numbers', Plugin.serializeHighlightSteps( [ highlight ] ) );
+					fragmentBlock.classList.add( 'fragment' );
+					block.parentNode.appendChild( fragmentBlock );
+					Plugin.highlightLines( fragmentBlock );
+
+					if( typeof fragmentIndex === 'number' ) {
+						fragmentBlock.setAttribute( 'data-fragment-index', fragmentIndex );
+						fragmentIndex += 1;
+					}
+					else {
+						fragmentBlock.removeAttribute( 'data-fragment-index' );
+					}
+
+					// Scroll highlights into view as we step through them
+					fragmentBlock.addEventListener( 'visible', Plugin.scrollHighlightedLineIntoView.bind( Plugin, fragmentBlock, scrollState ) );
+					fragmentBlock.addEventListener( 'hidden', Plugin.scrollHighlightedLineIntoView.bind( Plugin, fragmentBlock.previousElementSibling, scrollState ) );
+
+				} );
+
+				block.removeAttribute( 'data-fragment-index' );
+				block.setAttribute( 'data-line-numbers', Plugin.serializeHighlightSteps( [ highlightSteps[0] ] ) );
+
+			}
+
+			// Scroll the first highlight into view when the slide
+			// becomes visible. Note supported in IE11 since it lacks
+			// support for Element.closest.
+			var slide = typeof block.closest === 'function' ? block.closest( 'section:not(.stack)' ) : null;
+			if( slide ) {
+				var scrollFirstHighlightIntoView = function() {
+					Plugin.scrollHighlightedLineIntoView( block, scrollState, true );
+					slide.removeEventListener( 'visible', scrollFirstHighlightIntoView );
+				}
+				slide.addEventListener( 'visible', scrollFirstHighlightIntoView );
+			}
+
+			Plugin.highlightLines( block );
+
+		}
+
+	},
+
+	/**
+	 * Animates scrolling to the first highlighted line
+	 * in the given code block.
+	 */
+	scrollHighlightedLineIntoView: function( block, scrollState, skipAnimation ) {
+
+		cancelAnimationFrame( scrollState.animationFrameID );
+
+		// Match the scroll position of the currently visible
+		// code block
+		if( scrollState.currentBlock ) {
+			block.scrollTop = scrollState.currentBlock.scrollTop;
+		}
+
+		// Remember the current code block so that we can match
+		// its scroll position when showing/hiding fragments
+		scrollState.currentBlock = block;
+
+		var highlightBounds = this.getHighlightedLineBounds( block )
+		var viewportHeight = block.offsetHeight;
+
+		// Subtract padding from the viewport height
+		var blockStyles = getComputedStyle( block );
+		viewportHeight -= parseInt( blockStyles.paddingTop ) + parseInt( blockStyles.paddingBottom );
+
+		// Scroll position which centers all highlights
+		var startTop = block.scrollTop;
+		var targetTop = highlightBounds.top + ( Math.min( highlightBounds.bottom - highlightBounds.top, viewportHeight ) - viewportHeight ) / 2;
+
+		// Account for offsets in position applied to the
+		// <table> that holds our lines of code
+		var lineTable = block.querySelector( '.hljs-ln' );
+		if( lineTable ) targetTop += lineTable.offsetTop - parseInt( blockStyles.paddingTop );
+
+		// Make sure the scroll target is within bounds
+		targetTop = Math.max( Math.min( targetTop, block.scrollHeight - viewportHeight ), 0 );
+
+		if( skipAnimation === true || startTop === targetTop ) {
+			block.scrollTop = targetTop;
+		}
+		else {
+
+			// Don't attempt to scroll if there is no overflow
+			if( block.scrollHeight <= viewportHeight ) return;
+
+			var time = 0;
+			var animate = function() {
+				time = Math.min( time + 0.02, 1 );
+
+				// Update our eased scroll position
+				block.scrollTop = startTop + ( targetTop - startTop ) * Plugin.easeInOutQuart( time );
+
+				// Keep animating unless we've reached the end
+				if( time < 1 ) {
+					scrollState.animationFrameID = requestAnimationFrame( animate );
+				}
+			};
+
+			animate();
+
+		}
+
+	},
+
+	/**
+	 * The easing function used when scrolling.
+	 */
+	easeInOutQuart: function( t ) {
+
+		// easeInOutQuart
+		return t<.5 ? 8*t*t*t*t : 1-8*(--t)*t*t*t;
+
+	},
+
+	getHighlightedLineBounds: function( block ) {
+
+		var highlightedLines = block.querySelectorAll( '.highlight-line' );
+		if( highlightedLines.length === 0 ) {
+			return { top: 0, bottom: 0 };
+		}
+		else {
+			var firstHighlight = highlightedLines[0];
+			var lastHighlight = highlightedLines[ highlightedLines.length -1 ];
+
+			return {
+				top: firstHighlight.offsetTop,
+				bottom: lastHighlight.offsetTop + lastHighlight.offsetHeight
+			}
+		}
+
+	},
+
+	/**
+	 * Visually emphasize specific lines within a code block.
+	 * This only works on blocks with line numbering turned on.
+	 *
+	 * @param {HTMLElement} block a <code> block
+	 * @param {String} [linesToHighlight] The lines that should be
+	 * highlighted in this format:
+	 * "1" 		= highlights line 1
+	 * "2,5"	= highlights lines 2 & 5
+	 * "2,5-7"	= highlights lines 2, 5, 6 & 7
+	 */
+	highlightLines: function( block, linesToHighlight ) {
+
+		var highlightSteps = Plugin.deserializeHighlightSteps( linesToHighlight || block.getAttribute( 'data-line-numbers' ) );
+
+		if( highlightSteps.length ) {
+
+			highlightSteps[0].forEach( function( highlight ) {
+
+				var elementsToHighlight = [];
+
+				// Highlight a range
+				if( typeof highlight.end === 'number' ) {
+					elementsToHighlight = [].slice.call( block.querySelectorAll( 'table tr:nth-child(n+'+highlight.start+'):nth-child(-n+'+highlight.end+')' ) );
+				}
+				// Highlight a single line
+				else if( typeof highlight.start === 'number' ) {
+					elementsToHighlight = [].slice.call( block.querySelectorAll( 'table tr:nth-child('+highlight.start+')' ) );
+				}
+
+				if( elementsToHighlight.length ) {
+					elementsToHighlight.forEach( function( lineElement ) {
+						lineElement.classList.add( 'highlight-line' );
+					} );
+
+					block.classList.add( 'has-highlights' );
+				}
+
+			} );
+
+		}
+
+	},
+
+	/**
+	 * Parses and formats a user-defined string of line
+	 * numbers to highlight.
+	 *
+	 * @example
+	 * Plugin.deserializeHighlightSteps( '1,2|3,5-10' )
+	 * // [
+	 * //   [ { start: 1 }, { start: 2 } ],
+	 * //   [ { start: 3 }, { start: 5, end: 10 } ]
+	 * // ]
+	 */
+	deserializeHighlightSteps: function( highlightSteps ) {
+
+		// Remove whitespace
+		highlightSteps = highlightSteps.replace( /\s/g, '' );
+
+		// Divide up our line number groups
+		highlightSteps = highlightSteps.split( Plugin.HIGHLIGHT_STEP_DELIMITER );
+
+		return highlightSteps.map( function( highlights ) {
+
+			return highlights.split( Plugin.HIGHLIGHT_LINE_DELIMITER ).map( function( highlight ) {
+
+				// Parse valid line numbers
+				if( /^[\d-]+$/.test( highlight ) ) {
+
+					highlight = highlight.split( Plugin.HIGHLIGHT_LINE_RANGE_DELIMITER );
+
+					var lineStart = parseInt( highlight[0], 10 ),
+						lineEnd = parseInt( highlight[1], 10 );
+
+					if( isNaN( lineEnd ) ) {
+						return {
+							start: lineStart
+						};
+					}
+					else {
+						return {
+							start: lineStart,
+							end: lineEnd
+						};
+					}
+
+				}
+				// If no line numbers are provided, no code will be highlighted
+				else {
+
+					return {};
+
+				}
+
+			} );
+
+		} );
+
+	},
+
+	/**
+	 * Serializes parsed line number data into a string so
+	 * that we can store it in the DOM.
+	 */
+	serializeHighlightSteps: function( highlightSteps ) {
+
+		return highlightSteps.map( function( highlights ) {
+
+			return highlights.map( function( highlight ) {
+
+				// Line range
+				if( typeof highlight.end === 'number' ) {
+					return highlight.start + Plugin.HIGHLIGHT_LINE_RANGE_DELIMITER + highlight.end;
+				}
+				// Single line
+				else if( typeof highlight.start === 'number' ) {
+					return highlight.start;
+				}
+				// All lines
+				else {
+					return '';
+				}
+
+			} ).join( Plugin.HIGHLIGHT_LINE_DELIMITER );
+
+		} ).join( Plugin.HIGHLIGHT_STEP_DELIMITER );
+
+	}
+
+}
+
+// Function to perform a better "data-trim" on code snippets
+// Will slice an indentation amount on each line of the snippet (amount based on the line having the lowest indentation length)
+function betterTrim(snippetEl) {
+	// Helper functions
+	function trimLeft(val) {
+		// Adapted from https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/Trim#Polyfill
+		return val.replace(/^[\s\uFEFF\xA0]+/g, '');
+	}
+	function trimLineBreaks(input) {
+		var lines = input.split('\n');
+
+		// Trim line-breaks from the beginning
+		for (var i = 0; i < lines.length; i++) {
+			if (lines[i].trim() === '') {
+				lines.splice(i--, 1);
+			} else break;
+		}
+
+		// Trim line-breaks from the end
+		for (var i = lines.length-1; i >= 0; i--) {
+			if (lines[i].trim() === '') {
+				lines.splice(i, 1);
+			} else break;
+		}
+
+		return lines.join('\n');
+	}
+
+	// Main function for betterTrim()
+	return (function(snippetEl) {
+		var content = trimLineBreaks(snippetEl.innerHTML);
+		var lines = content.split('\n');
+		// Calculate the minimum amount to remove on each line start of the snippet (can be 0)
+		var pad = lines.reduce(function(acc, line) {
+			if (line.length > 0 && trimLeft(line).length > 0 && acc > line.length - trimLeft(line).length) {
+				return line.length - trimLeft(line).length;
+			}
+			return acc;
+		}, Number.POSITIVE_INFINITY);
+		// Slice each line with this amount
+		return lines.map(function(line, index) {
+			return line.slice(pad);
+		})
+		.join('\n');
+	})(snippetEl);
+}
+
+export default () => Plugin;

src/.quarto/_freeze/site_libs/revealjs/plugin/highlight/zenburn.css

@@ -0,0 +1,80 @@
+/*
+
+Zenburn style from voldmar.ru (c) Vladimir Epifanov <voldmar@voldmar.ru>
+based on dark.css by Ivan Sagalaev
+
+*/
+
+.hljs {
+  display: block;
+  overflow-x: auto;
+  padding: 0.5em;
+  background: #3f3f3f;
+  color: #dcdcdc;
+}
+
+.hljs-keyword,
+.hljs-selector-tag,
+.hljs-tag {
+  color: #e3ceab;
+}
+
+.hljs-template-tag {
+  color: #dcdcdc;
+}
+
+.hljs-number {
+  color: #8cd0d3;
+}
+
+.hljs-variable,
+.hljs-template-variable,
+.hljs-attribute {
+  color: #efdcbc;
+}
+
+.hljs-literal {
+  color: #efefaf;
+}
+
+.hljs-subst {
+  color: #8f8f8f;
+}
+
+.hljs-title,
+.hljs-name,
+.hljs-selector-id,
+.hljs-selector-class,
+.hljs-section,
+.hljs-type {
+  color: #efef8f;
+}
+
+.hljs-symbol,
+.hljs-bullet,
+.hljs-link {
+  color: #dca3a3;
+}
+
+.hljs-deletion,
+.hljs-string,
+.hljs-built_in,
+.hljs-builtin-name {
+  color: #cc9393;
+}
+
+.hljs-addition,
+.hljs-comment,
+.hljs-quote,
+.hljs-meta {
+  color: #7f9f7f;
+}
+
+
+.hljs-emphasis {
+  font-style: italic;
+}
+
+.hljs-strong {
+  font-weight: bold;
+}

src/.quarto/_freeze/site_libs/revealjs/plugin/markdown/markdown.esm.js

@@ -0,0 +1,7 @@
+function e(){return{async:!1,baseUrl:null,breaks:!1,extensions:null,gfm:!0,headerIds:!0,headerPrefix:"",highlight:null,hooks:null,langPrefix:"language-",mangle:!0,pedantic:!1,renderer:null,sanitize:!1,sanitizer:null,silent:!1,smartypants:!1,tokenizer:null,walkTokens:null,xhtml:!1}}let t={async:!1,baseUrl:null,breaks:!1,extensions:null,gfm:!0,headerIds:!0,headerPrefix:"",highlight:null,hooks:null,langPrefix:"language-",mangle:!0,pedantic:!1,renderer:null,sanitize:!1,sanitizer:null,silent:!1,smartypants:!1,tokenizer:null,walkTokens:null,xhtml:!1};const n=/[&<>"']/,s=new RegExp(n.source,"g"),r=/[<>"']|&(?!(#\d{1,7}|#[Xx][a-fA-F0-9]{1,6}|\w+);)/,i=new RegExp(r.source,"g"),l={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#39;"},o=e=>l[e];function a(e,t){if(t){if(n.test(e))return e.replace(s,o)}else if(r.test(e))return e.replace(i,o);return e}const c=/&(#(?:\d+)|(?:#x[0-9A-Fa-f]+)|(?:\w+));?/gi;function h(e){return 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T={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:w,tag:"^comment|^</[a-zA-Z][\\w:-]*\\s*>|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^<![a-zA-Z]+\\s[\\s\\S]*?>|^<!\\[CDATA\\[[\\s\\S]*?\\]\\]>",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:([punct_])|[^\s*]))|^_+(?:([punct*])|([^\s_]))/,rDelimAst:/^(?:[^_*\\]|\\.)*?\_\_(?:[^_*\\]|\\.)*?\*(?:[^_*\\]|\\.)*?(?=\_\_)|(?:[^*\\]|\\.)+(?=[^*])|[punct_](\*+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\*+)(?=[punct_\s]|$)|[punct_\s](\*+)(?=[^punct*_\s])|[\s](\*+)(?=[punct_])|[punct_](\*+)(?=[punct_])|(?:[^punct*_\s\\]|\\.)(\*+)(?=[^punct*_\s])/,rDelimUnd:/^(?:[^_*\\]|\\.)*?\*\*(?:[^_*\\]|\\.)*?\_(?:[^_*\\]|\\.)*?(?=\*\*)|(?:[^_\\]|\\.)+(?=[^_])|[punct*](\_+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\_+)(?=[punct*\s]|$)|[punct*\s](\_+)(?=[^punct*_\s])|[\s](\_+)(?=[punct*])|[punct*](\_+)(?=[punct*])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( 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s}T._punctuation="!\"#$%&'()+\\-.,/:;<=>?@\\[\\]`^{|}~",T.punctuation=u(T.punctuation).replace(/punctuation/g,T._punctuation).getRegex(),T.blockSkip=/\[[^\]]*?\]\([^\)]*?\)|`[^`]*?`|<[^>]*?>/g,T.escapedEmSt=/(?:^|[^\\])(?:\\\\)*\\[*_]/g,T._comment=u(R._comment).replace("(?:--\x3e|$)","--\x3e").getRegex(),T.emStrong.lDelim=u(T.emStrong.lDelim).replace(/punct/g,T._punctuation).getRegex(),T.emStrong.rDelimAst=u(T.emStrong.rDelimAst,"g").replace(/punct/g,T._punctuation).getRegex(),T.emStrong.rDelimUnd=u(T.emStrong.rDelimUnd,"g").replace(/punct/g,T._punctuation).getRegex(),T._escapes=/\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/g,T._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,T._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,T.autolink=u(T.autolink).replace("scheme",T._scheme).replace("email",T._email).getRegex(),T._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,T.tag=u(T.tag).replace("comment",T._comment).replace("attribute",T._attribute).getRegex(),T._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,T._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,T._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,T.link=u(T.link).replace("label",T._label).replace("href",T._href).replace("title",T._title).getRegex(),T.reflink=u(T.reflink).replace("label",T._label).replace("ref",R._label).getRegex(),T.nolink=u(T.nolink).replace("ref",R._label).getRegex(),T.reflinkSearch=u(T.reflinkSearch,"g").replace("reflink",T.reflink).replace("nolink",T.nolink).getRegex(),T.normal={...T},T.pedantic={...T.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:u(/^!?\[(label)\]\((.*?)\)/).replace("label",T._label).getRegex(),reflink:u(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",T._label).getRegex()},T.gfm={...T.normal,escape:u(T.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\<!\[`*~_]|\b_|https?:\/\/|ftp:\/\/|www\.|$)|[^ ](?= {2,}\n)|[^a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-](?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)))/},T.gfm.url=u(T.gfm.url,"i").replace("email",T.gfm._extended_email).getRegex(),T.breaks={...T.gfm,br:u(T.br).replace("{2,}","*").getRegex(),text:u(T.gfm.text).replace("\\b_","\\b_| {2,}\\n").replace(/\{2,\}/g,"*").getRegex()};class v{constructor(e){this.tokens=[],this.tokens.links=Object.create(null),this.options=e||t,this.options.tokenizer=this.options.tokenizer||new S,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:R.normal,inline:T.normal};this.options.pedantic?(n.block=R.pedantic,n.inline=T.pedantic):this.options.gfm&&(n.block=R.gfm,this.options.breaks?n.inline=T.breaks:n.inline=T.gfm),this.tokenizer.rules=n}static get rules(){return{block:R,inline:T}}static lex(e,t){return new v(t).lex(e)}static lexInline(e,t){return new v(t).inlineTokens(e)}lex(e){let t;for(e=e.replace(/\r\n|\r/g,"\n"),this.blockTokens(e,this.tokens);t=this.inlineQueue.shift();)this.inlineTokens(t.src,t.tokens);return this.tokens}blockTokens(e,t=[]){let n,s,r,i;for(e=this.options.pedantic?e.replace(/\t/g,"    ").replace(/^ +$/gm,""):e.replace(/^( *)(\t+)/gm,((e,t,n)=>t+"    ".repeat(n.length)));e;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.space(e))e=e.substring(n.raw.length),1===n.raw.length&&t.length>0?t[t.length-1].raw+="\n":t.push(n);else if(n=this.tokenizer.code(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?t.push(n):(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.fences(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.heading(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.hr(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.blockquote(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.list(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.html(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.def(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(s.raw+="\n"+n.raw,s.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.table(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.lheading(e))e=e.substring(n.raw.length),t.push(n);else{if(r=e,this.options.extensions&&this.options.extensions.startBlock){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startBlock.forEach((function(e){s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(this.state.top&&(n=this.tokenizer.paragraph(r)))s=t[t.length-1],i&&"paragraph"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n),i=r.length!==e.length,e=e.substring(n.raw.length);else if(n=this.tokenizer.text(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}return this.state.top=!0,t}inline(e,t=[]){return this.inlineQueue.push({src:e,tokens:t}),t}inlineTokens(e,t=[]){let n,s,r,i,l,o,a=e;if(this.tokens.links){const e=Object.keys(this.tokens.links);if(e.length>0)for(;null!=(i=this.tokenizer.rules.inline.reflinkSearch.exec(a));)e.includes(i[0].slice(i[0].lastIndexOf("[")+1,-1))&&(a=a.slice(0,i.index)+"["+$("a",i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(i=this.tokenizer.rules.inline.blockSkip.exec(a));)a=a.slice(0,i.index)+"["+$("a",i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(i=this.tokenizer.rules.inline.escapedEmSt.exec(a));)a=a.slice(0,i.index+i[0].length-2)+"++"+a.slice(this.tokenizer.rules.inline.escapedEmSt.lastIndex),this.tokenizer.rules.inline.escapedEmSt.lastIndex--;for(;e;)if(l||(o=""),l=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.escape(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.tag(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.link(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.reflink(e,this.tokens.links))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.emStrong(e,a,o))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.codespan(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.br(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.del(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.autolink(e,E))e=e.substring(n.raw.length),t.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(e,E))){if(r=e,this.options.extensions&&this.options.extensions.startInline){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startInline.forEach((function(e){s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(n=this.tokenizer.inlineText(r,A))e=e.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(o=n.raw.slice(-1)),l=!0,s=t[t.length-1],s&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}else e=e.substring(n.raw.length),t.push(n);return t}}class I{constructor(e){this.options=e||t}code(e,t,n){const s=(t||"").match(/\S*/)[0];if(this.options.highlight){const t=this.options.highlight(e,s);null!=t&&t!==e&&(n=!0,e=t)}return e=e.replace(/\n$/,"")+"\n",s?'<pre><code class="'+this.options.langPrefix+a(s)+'">'+(n?e:a(e,!0))+"</code></pre>\n":"<pre><code>"+(n?e:a(e,!0))+"</code></pre>\n"}blockquote(e){return`<blockquote>\n${e}</blockquote>\n`}html(e){return e}heading(e,t,n,s){if(this.options.headerIds){return`<h${t} id="${this.options.headerPrefix+s.slug(n)}">${e}</h${t}>\n`}return`<h${t}>${e}</h${t}>\n`}hr(){return this.options.xhtml?"<hr/>\n":"<hr>\n"}list(e,t,n){const s=t?"ol":"ul";return"<"+s+(t&&1!==n?' start="'+n+'"':"")+">\n"+e+"</"+s+">\n"}listitem(e){return`<li>${e}</li>\n`}checkbox(e){return"<input "+(e?'checked="" ':"")+'disabled="" type="checkbox"'+(this.options.xhtml?" /":"")+"> "}paragraph(e){return`<p>${e}</p>\n`}table(e,t){return t&&(t=`<tbody>${t}</tbody>`),"<table>\n<thead>\n"+e+"</thead>\n"+t+"</table>\n"}tablerow(e){return`<tr>\n${e}</tr>\n`}tablecell(e,t){const n=t.header?"th":"td";return(t.align?`<${n} align="${t.align}">`:`<${n}>`)+e+`</${n}>\n`}strong(e){return`<strong>${e}</strong>`}em(e){return`<em>${e}</em>`}codespan(e){return`<code>${e}</code>`}br(){return this.options.xhtml?"<br/>":"<br>"}del(e){return`<del>${e}</del>`}link(e,t,n){if(null===(e=f(this.options.sanitize,this.options.baseUrl,e)))return n;let s='<a href="'+e+'"';return t&&(s+=' title="'+t+'"'),s+=">"+n+"</a>",s}image(e,t,n){if(null===(e=f(this.options.sanitize,this.options.baseUrl,e)))return n;let s=`<img src="${e}" alt="${n}"`;return t&&(s+=` title="${t}"`),s+=this.options.xhtml?"/>":">",s}text(e){return e}}class q{strong(e){return e}em(e){return e}codespan(e){return e}del(e){return e}html(e){return e}text(e){return e}link(e,t,n){return""+n}image(e,t,n){return""+n}br(){return""}}class L{constructor(){this.seen={}}serialize(e){return e.toLowerCase().trim().replace(/<[!\/a-z].*?>/gi,"").replace(/[\u2000-\u206F\u2E00-\u2E7F\\'!"#$%&()*+,./:;<=>?@[\]^`{|}~]/g,"").replace(/\s/g,"-")}getNextSafeSlug(e,t){let n=e,s=0;if(this.seen.hasOwnProperty(n)){s=this.seen[e];do{s++,n=e+"-"+s}while(this.seen.hasOwnProperty(n))}return t||(this.seen[e]=s,this.seen[n]=0),n}slug(e,t={}){const n=this.serialize(e);return this.getNextSafeSlug(n,t.dryrun)}}class C{constructor(e){this.options=e||t,this.options.renderer=this.options.renderer||new I,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new q,this.slugger=new L}static parse(e,t){return new C(t).parse(e)}static parseInline(e,t){return new C(t).parseInline(e)}parse(e,t=!0){let n,s,r,i,l,o,a,c,p,u,g,d,f,k,x,m,b,w,_,y="";const $=e.length;for(n=0;n<$;n++)if(u=e[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[u.type]&&(_=this.options.extensions.renderers[u.type].call({parser:this},u),!1!==_||!["space","hr","heading","code","table","blockquote","list","html","paragraph","text"].includes(u.type)))y+=_||"";else switch(u.type){case"space":continue;case"hr":y+=this.renderer.hr();continue;case"heading":y+=this.renderer.heading(this.parseInline(u.tokens),u.depth,h(this.parseInline(u.tokens,this.textRenderer)),this.slugger);continue;case"code":y+=this.renderer.code(u.text,u.lang,u.escaped);continue;case"table":for(c="",a="",i=u.header.length,s=0;s<i;s++)a+=this.renderer.tablecell(this.parseInline(u.header[s].tokens),{header:!0,align:u.align[s]});for(c+=this.renderer.tablerow(a),p="",i=u.rows.length,s=0;s<i;s++){for(o=u.rows[s],a="",l=o.length,r=0;r<l;r++)a+=this.renderer.tablecell(this.parseInline(o[r].tokens),{header:!1,align:u.align[r]});p+=this.renderer.tablerow(a)}y+=this.renderer.table(c,p);continue;case"blockquote":p=this.parse(u.tokens),y+=this.renderer.blockquote(p);continue;case"list":for(g=u.ordered,d=u.start,f=u.loose,i=u.items.length,p="",s=0;s<i;s++)x=u.items[s],m=x.checked,b=x.task,k="",x.task&&(w=this.renderer.checkbox(m),f?x.tokens.length>0&&"paragraph"===x.tokens[0].type?(x.tokens[0].text=w+" "+x.tokens[0].text,x.tokens[0].tokens&&x.tokens[0].tokens.length>0&&"text"===x.tokens[0].tokens[0].type&&(x.tokens[0].tokens[0].text=w+" "+x.tokens[0].tokens[0].text)):x.tokens.unshift({type:"text",text:w}):k+=w),k+=this.parse(x.tokens,f),p+=this.renderer.listitem(k,b,m);y+=this.renderer.list(p,g,d);continue;case"html":y+=this.renderer.html(u.text);continue;case"paragraph":y+=this.renderer.paragraph(this.parseInline(u.tokens));continue;case"text":for(p=u.tokens?this.parseInline(u.tokens):u.text;n+1<$&&"text"===e[n+1].type;)u=e[++n],p+="\n"+(u.tokens?this.parseInline(u.tokens):u.text);y+=t?this.renderer.paragraph(p):p;continue;default:{const e='Token with "'+u.type+'" type was not found.';if(this.options.silent)return void console.error(e);throw new Error(e)}}return y}parseInline(e,t){t=t||this.renderer;let n,s,r,i="";const l=e.length;for(n=0;n<l;n++)if(s=e[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[s.type]&&(r=this.options.extensions.renderers[s.type].call({parser:this},s),!1!==r||!["escape","html","link","image","strong","em","codespan","br","del","text"].includes(s.type)))i+=r||"";else switch(s.type){case"escape":case"text":i+=t.text(s.text);break;case"html":i+=t.html(s.text);break;case"link":i+=t.link(s.href,s.title,this.parseInline(s.tokens,t));break;case"image":i+=t.image(s.href,s.title,s.text);break;case"strong":i+=t.strong(this.parseInline(s.tokens,t));break;case"em":i+=t.em(this.parseInline(s.tokens,t));break;case"codespan":i+=t.codespan(s.text);break;case"br":i+=t.br();break;case"del":i+=t.del(this.parseInline(s.tokens,t));break;default:{const e='Token with "'+s.type+'" type was not found.';if(this.options.silent)return void console.error(e);throw new Error(e)}}return i}}class Z{constructor(e){this.options=e||t}static passThroughHooks=new Set(["preprocess","postprocess"]);preprocess(e){return e}postprocess(e){return e}}function P(e,t){return(n,s,r)=>{"function"==typeof s&&(r=s,s=null);const i={...s},l=function(e,t,n){return s=>{if(s.message+="\nPlease report this to https://github.com/markedjs/marked.",e){const e="<p>An error occurred:</p><pre>"+a(s.message+"",!0)+"</pre>";return t?Promise.resolve(e):n?void n(null,e):e}if(t)return Promise.reject(s);if(!n)throw s;n(s)}}((s={...M.defaults,...i}).silent,s.async,r);if(null==n)return l(new Error("marked(): input parameter is undefined or null"));if("string"!=typeof n)return l(new Error("marked(): input parameter is of type "+Object.prototype.toString.call(n)+", string expected"));if(function(e){e&&e.sanitize&&!e.silent&&console.warn("marked(): sanitize and sanitizer parameters are deprecated since version 0.7.0, should not be used and will be removed in the future. 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+/*!
+ * The reveal.js markdown plugin. Handles parsing of
+ * markdown inside of presentations as well as loading
+ * of external markdown documents.
+ */
+const N="__SCRIPT_END__",O=/\[\s*((\d*):)?\s*([\s\d,|-]*)\]/,D={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#39;"},B=()=>{let e;function t(e){let t=(e.querySelector("[data-template]")||e.querySelector("script")||e).textContent;t=t.replace(new RegExp(N,"g"),"<\/script>");const n=t.match(/^\n?(\s*)/)[1].length,s=t.match(/^\n?(\t*)/)[1].length;return s>0?t=t.replace(new RegExp("\\n?\\t{"+s+"}(.*)","g"),(function(e,t){return"\n"+t})):n>1&&(t=t.replace(new RegExp("\\n? {"+n+"}(.*)","g"),(function(e,t){return"\n"+t}))),t}function n(e){const t=e.attributes,n=[];for(let e=0,s=t.length;e<s;e++){const s=t[e].name,r=t[e].value;/data\-(markdown|separator|vertical|notes)/gi.test(s)||(r?n.push(s+'="'+r+'"'):n.push(s))}return n.join(" ")}function s(t){const n=e?.getConfig?.().markdown;return(t=t||{}).separator=t.separator||n?.separator||"\r?\n---\r?\n",t.verticalSeparator=t.verticalSeparator||n?.verticalSeparator||null,t.notesSeparator=t.notesSeparator||n?.notesSeparator||"^s*notes?:",t.attributes=t.attributes||"",t}function r(e,t){t=s(t);const n=e.split(new RegExp(t.notesSeparator,"mgi"));return 2===n.length&&(e=n[0]+'<aside class="notes">'+M(n[1].trim())+"</aside>"),'<script type="text/template">'+(e=e.replace(/<\/script>/g,N))+"<\/script>"}function i(e,t){t=s(t);const n=new RegExp(t.separator+(t.verticalSeparator?"|"+t.verticalSeparator:""),"mg"),i=new RegExp(t.separator);let l,o,a,c=0,h=!0,p=[];for(;l=n.exec(e);)o=i.test(l[0]),!o&&h&&p.push([]),a=e.substring(c,l.index),o&&h?p.push(a):p[p.length-1].push(a),c=n.lastIndex,h=o;(h?p:p[p.length-1]).push(e.substring(c));let u="";for(let e=0,n=p.length;e<n;e++)p[e]instanceof Array?(u+="<section "+t.attributes+">",p[e].forEach((function(e){u+="<section data-markdown>"+r(e,t)+"</section>"})),u+="</section>"):u+="<section "+t.attributes+" data-markdown>"+r(p[e],t)+"</section>";return u}function l(e){return new Promise((function(s){const r=[];[].slice.call(e.querySelectorAll("section[data-markdown]:not([data-markdown-parsed])")).forEach((function(e,s){e.getAttribute("data-markdown").length?r.push(function(e){return new Promise((function(t,n){const s=new XMLHttpRequest,r=e.getAttribute("data-markdown"),i=e.getAttribute("data-charset");null!==i&&""!==i&&s.overrideMimeType("text/html; charset="+i),s.onreadystatechange=function(e,s){4===s.readyState&&(s.status>=200&&s.status<300||0===s.status?t(s,r):n(s,r))}.bind(this,e,s),s.open("GET",r,!0);try{s.send()}catch(e){console.warn("Failed to get the Markdown file "+r+". Make sure that the presentation and the file are served by a HTTP server and the file can be found there. "+e),t(s,r)}}))}(e).then((function(t,s){e.outerHTML=i(t.responseText,{separator:e.getAttribute("data-separator"),verticalSeparator:e.getAttribute("data-separator-vertical"),notesSeparator:e.getAttribute("data-separator-notes"),attributes:n(e)})}),(function(t,n){e.outerHTML='<section data-state="alert">ERROR: The attempt to fetch '+n+" failed with HTTP status "+t.status+".Check your browser's JavaScript console for more details.<p>Remember that you need to serve the presentation HTML from a HTTP server.</p></section>"}))):e.outerHTML=i(t(e),{separator:e.getAttribute("data-separator"),verticalSeparator:e.getAttribute("data-separator-vertical"),notesSeparator:e.getAttribute("data-separator-notes"),attributes:n(e)})})),Promise.all(r).then(s)}))}function o(e,t,n){const s=new RegExp(n,"mg"),r=new RegExp('([^"= ]+?)="([^"]+?)"|(data-[^"= ]+?)(?=[" ])',"mg");let i,l,o=e.nodeValue;if(i=s.exec(o)){const n=i[1];for(o=o.substring(0,i.index)+o.substring(s.lastIndex),e.nodeValue=o;l=r.exec(n);)l[2]?t.setAttribute(l[1],l[2]):t.setAttribute(l[3],"");return!0}return!1}function a(e,t,n,s,r){if(null!==t&&void 0!==t.childNodes&&t.childNodes.length>0){let n=t;for(let i=0;i<t.childNodes.length;i++){const l=t.childNodes[i];if(i>0){let e=i-1;for(;e>=0;){const s=t.childNodes[e];if("function"==typeof s.setAttribute&&"BR"!==s.tagName){n=s;break}e-=1}}let o=e;"section"===l.nodeName&&(o=l,n=l),"function"!=typeof l.setAttribute&&l.nodeType!==Node.COMMENT_NODE||a(o,l,n,s,r)}}t.nodeType===Node.COMMENT_NODE&&!1===o(t,n,s)&&o(t,e,r)}function c(){const n=e.getRevealElement().querySelectorAll("[data-markdown]:not([data-markdown-parsed])");return[].slice.call(n).forEach((function(e){e.setAttribute("data-markdown-parsed",!0);const n=e.querySelector("aside.notes"),s=t(e);e.innerHTML=M(s),a(e,e,null,e.getAttribute("data-element-attributes")||e.parentNode.getAttribute("data-element-attributes")||"\\.element\\s*?(.+?)$",e.getAttribute("data-attributes")||e.parentNode.getAttribute("data-attributes")||"\\.slide:\\s*?(\\S.+?)$"),n&&e.appendChild(n)})),Promise.resolve()}return{id:"markdown",init:function(t){e=t;let{renderer:n,animateLists:s,...r}=e.getConfig().markdown||{};return n||(n=new M.Renderer,n.code=(e,t)=>{let n="",s="";if(O.test(t)){let e=t.match(O)[2];e&&(n=`data-ln-start-from="${e.trim()}"`),s=t.match(O)[3].trim(),s=`data-line-numbers="${s}"`,t=t.replace(O,"").trim()}return`<pre><code ${s} ${n} class="${t}">${e=e.replace(/([&<>'"])/g,(e=>D[e]))}</code></pre>`}),!0===s&&(n.listitem=e=>`<li class="fragment">${e}</li>`),M.setOptions({renderer:n,...r}),l(e.getRevealElement()).then(c)},processSlides:l,convertSlides:c,slidify:i,marked:M}};export{B as default};

src/.quarto/_freeze/site_libs/revealjs/plugin/markdown/markdown.js

@@ -0,0 +1,7 @@
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{2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\<!\[`*~_]|\b_|https?:\/\/|ftp:\/\/|www\.|$)|[^ ](?= {2,}\n)|[^a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-](?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)))/},R.gfm.url=u(R.gfm.url,"i").replace("email",R.gfm._extended_email).getRegex(),R.breaks={...R.gfm,br:u(R.br).replace("{2,}","*").getRegex(),text:u(R.gfm.text).replace("\\b_","\\b_| {2,}\\n").replace(/\{2,\}/g,"*").getRegex()};class v{constructor(e){this.tokens=[],this.tokens.links=Object.create(null),this.options=e||t,this.options.tokenizer=this.options.tokenizer||new S,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:T.normal,inline:R.normal};this.options.pedantic?(n.block=T.pedantic,n.inline=R.pedantic):this.options.gfm&&(n.block=T.gfm,this.options.breaks?n.inline=R.breaks:n.inline=R.gfm),this.tokenizer.rules=n}static get rules(){return{block:T,inline:R}}static lex(e,t){return new v(t).lex(e)}static lexInline(e,t){return new v(t).inlineTokens(e)}lex(e){let t;for(e=e.replace(/\r\n|\r/g,"\n"),this.blockTokens(e,this.tokens);t=this.inlineQueue.shift();)this.inlineTokens(t.src,t.tokens);return this.tokens}blockTokens(e,t=[]){let n,s,r,i;for(e=this.options.pedantic?e.replace(/\t/g,"    ").replace(/^ +$/gm,""):e.replace(/^( *)(\t+)/gm,((e,t,n)=>t+"    ".repeat(n.length)));e;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.space(e))e=e.substring(n.raw.length),1===n.raw.length&&t.length>0?t[t.length-1].raw+="\n":t.push(n);else if(n=this.tokenizer.code(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?t.push(n):(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.fences(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.heading(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.hr(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.blockquote(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.list(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.html(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.def(e))e=e.substring(n.raw.length),s=t[t.length-1],!s||"paragraph"!==s.type&&"text"!==s.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(s.raw+="\n"+n.raw,s.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=s.text);else if(n=this.tokenizer.table(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.lheading(e))e=e.substring(n.raw.length),t.push(n);else{if(r=e,this.options.extensions&&this.options.extensions.startBlock){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startBlock.forEach((function(e){s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(this.state.top&&(n=this.tokenizer.paragraph(r)))s=t[t.length-1],i&&"paragraph"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n),i=r.length!==e.length,e=e.substring(n.raw.length);else if(n=this.tokenizer.text(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===s.type?(s.raw+="\n"+n.raw,s.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=s.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}return this.state.top=!0,t}inline(e,t=[]){return this.inlineQueue.push({src:e,tokens:t}),t}inlineTokens(e,t=[]){let n,s,r,i,l,o,a=e;if(this.tokens.links){const e=Object.keys(this.tokens.links);if(e.length>0)for(;null!=(i=this.tokenizer.rules.inline.reflinkSearch.exec(a));)e.includes(i[0].slice(i[0].lastIndexOf("[")+1,-1))&&(a=a.slice(0,i.index)+"["+$("a",i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(i=this.tokenizer.rules.inline.blockSkip.exec(a));)a=a.slice(0,i.index)+"["+$("a",i[0].length-2)+"]"+a.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(i=this.tokenizer.rules.inline.escapedEmSt.exec(a));)a=a.slice(0,i.index+i[0].length-2)+"++"+a.slice(this.tokenizer.rules.inline.escapedEmSt.lastIndex),this.tokenizer.rules.inline.escapedEmSt.lastIndex--;for(;e;)if(l||(o=""),l=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((s=>!!(n=s.call({lexer:this},e,t))&&(e=e.substring(n.raw.length),t.push(n),!0)))))if(n=this.tokenizer.escape(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.tag(e))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.link(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.reflink(e,this.tokens.links))e=e.substring(n.raw.length),s=t[t.length-1],s&&"text"===n.type&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(n=this.tokenizer.emStrong(e,a,o))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.codespan(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.br(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.del(e))e=e.substring(n.raw.length),t.push(n);else if(n=this.tokenizer.autolink(e,E))e=e.substring(n.raw.length),t.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(e,E))){if(r=e,this.options.extensions&&this.options.extensions.startInline){let t=1/0;const n=e.slice(1);let s;this.options.extensions.startInline.forEach((function(e){s=e.call({lexer:this},n),"number"==typeof s&&s>=0&&(t=Math.min(t,s))})),t<1/0&&t>=0&&(r=e.substring(0,t+1))}if(n=this.tokenizer.inlineText(r,A))e=e.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(o=n.raw.slice(-1)),l=!0,s=t[t.length-1],s&&"text"===s.type?(s.raw+=n.raw,s.text+=n.text):t.push(n);else if(e){const t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent){console.error(t);break}throw new Error(t)}}else e=e.substring(n.raw.length),t.push(n);return t}}class I{constructor(e){this.options=e||t}code(e,t,n){const s=(t||"").match(/\S*/)[0];if(this.options.highlight){const t=this.options.highlight(e,s);null!=t&&t!==e&&(n=!0,e=t)}return e=e.replace(/\n$/,"")+"\n",s?'<pre><code class="'+this.options.langPrefix+a(s)+'">'+(n?e:a(e,!0))+"</code></pre>\n":"<pre><code>"+(n?e:a(e,!0))+"</code></pre>\n"}blockquote(e){return`<blockquote>\n${e}</blockquote>\n`}html(e){return e}heading(e,t,n,s){if(this.options.headerIds){return`<h${t} id="${this.options.headerPrefix+s.slug(n)}">${e}</h${t}>\n`}return`<h${t}>${e}</h${t}>\n`}hr(){return this.options.xhtml?"<hr/>\n":"<hr>\n"}list(e,t,n){const s=t?"ol":"ul";return"<"+s+(t&&1!==n?' start="'+n+'"':"")+">\n"+e+"</"+s+">\n"}listitem(e){return`<li>${e}</li>\n`}checkbox(e){return"<input "+(e?'checked="" ':"")+'disabled="" type="checkbox"'+(this.options.xhtml?" /":"")+"> "}paragraph(e){return`<p>${e}</p>\n`}table(e,t){return t&&(t=`<tbody>${t}</tbody>`),"<table>\n<thead>\n"+e+"</thead>\n"+t+"</table>\n"}tablerow(e){return`<tr>\n${e}</tr>\n`}tablecell(e,t){const n=t.header?"th":"td";return(t.align?`<${n} align="${t.align}">`:`<${n}>`)+e+`</${n}>\n`}strong(e){return`<strong>${e}</strong>`}em(e){return`<em>${e}</em>`}codespan(e){return`<code>${e}</code>`}br(){return this.options.xhtml?"<br/>":"<br>"}del(e){return`<del>${e}</del>`}link(e,t,n){if(null===(e=f(this.options.sanitize,this.options.baseUrl,e)))return n;let s='<a href="'+e+'"';return t&&(s+=' title="'+t+'"'),s+=">"+n+"</a>",s}image(e,t,n){if(null===(e=f(this.options.sanitize,this.options.baseUrl,e)))return n;let s=`<img src="${e}" alt="${n}"`;return t&&(s+=` title="${t}"`),s+=this.options.xhtml?"/>":">",s}text(e){return e}}class q{strong(e){return e}em(e){return e}codespan(e){return e}del(e){return e}html(e){return e}text(e){return e}link(e,t,n){return""+n}image(e,t,n){return""+n}br(){return""}}class L{constructor(){this.seen={}}serialize(e){return e.toLowerCase().trim().replace(/<[!\/a-z].*?>/gi,"").replace(/[\u2000-\u206F\u2E00-\u2E7F\\'!"#$%&()*+,./:;<=>?@[\]^`{|}~]/g,"").replace(/\s/g,"-")}getNextSafeSlug(e,t){let n=e,s=0;if(this.seen.hasOwnProperty(n)){s=this.seen[e];do{s++,n=e+"-"+s}while(this.seen.hasOwnProperty(n))}return t||(this.seen[e]=s,this.seen[n]=0),n}slug(e,t={}){const n=this.serialize(e);return this.getNextSafeSlug(n,t.dryrun)}}class C{constructor(e){this.options=e||t,this.options.renderer=this.options.renderer||new I,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new q,this.slugger=new L}static parse(e,t){return new C(t).parse(e)}static parseInline(e,t){return new C(t).parseInline(e)}parse(e,t=!0){let n,s,r,i,l,o,a,c,p,u,g,d,f,k,x,m,b,w,y,_="";const $=e.length;for(n=0;n<$;n++)if(u=e[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[u.type]&&(y=this.options.extensions.renderers[u.type].call({parser:this},u),!1!==y||!["space","hr","heading","code","table","blockquote","list","html","paragraph","text"].includes(u.type)))_+=y||"";else switch(u.type){case"space":continue;case"hr":_+=this.renderer.hr();continue;case"heading":_+=this.renderer.heading(this.parseInline(u.tokens),u.depth,h(this.parseInline(u.tokens,this.textRenderer)),this.slugger);continue;case"code":_+=this.renderer.code(u.text,u.lang,u.escaped);continue;case"table":for(c="",a="",i=u.header.length,s=0;s<i;s++)a+=this.renderer.tablecell(this.parseInline(u.header[s].tokens),{header:!0,align:u.align[s]});for(c+=this.renderer.tablerow(a),p="",i=u.rows.length,s=0;s<i;s++){for(o=u.rows[s],a="",l=o.length,r=0;r<l;r++)a+=this.renderer.tablecell(this.parseInline(o[r].tokens),{header:!1,align:u.align[r]});p+=this.renderer.tablerow(a)}_+=this.renderer.table(c,p);continue;case"blockquote":p=this.parse(u.tokens),_+=this.renderer.blockquote(p);continue;case"list":for(g=u.ordered,d=u.start,f=u.loose,i=u.items.length,p="",s=0;s<i;s++)x=u.items[s],m=x.checked,b=x.task,k="",x.task&&(w=this.renderer.checkbox(m),f?x.tokens.length>0&&"paragraph"===x.tokens[0].type?(x.tokens[0].text=w+" "+x.tokens[0].text,x.tokens[0].tokens&&x.tokens[0].tokens.length>0&&"text"===x.tokens[0].tokens[0].type&&(x.tokens[0].tokens[0].text=w+" "+x.tokens[0].tokens[0].text)):x.tokens.unshift({type:"text",text:w}):k+=w),k+=this.parse(x.tokens,f),p+=this.renderer.listitem(k,b,m);_+=this.renderer.list(p,g,d);continue;case"html":_+=this.renderer.html(u.text);continue;case"paragraph":_+=this.renderer.paragraph(this.parseInline(u.tokens));continue;case"text":for(p=u.tokens?this.parseInline(u.tokens):u.text;n+1<$&&"text"===e[n+1].type;)u=e[++n],p+="\n"+(u.tokens?this.parseInline(u.tokens):u.text);_+=t?this.renderer.paragraph(p):p;continue;default:{const e='Token with "'+u.type+'" type was not found.';if(this.options.silent)return void console.error(e);throw new Error(e)}}return _}parseInline(e,t){t=t||this.renderer;let n,s,r,i="";const l=e.length;for(n=0;n<l;n++)if(s=e[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[s.type]&&(r=this.options.extensions.renderers[s.type].call({parser:this},s),!1!==r||!["escape","html","link","image","strong","em","codespan","br","del","text"].includes(s.type)))i+=r||"";else switch(s.type){case"escape":case"text":i+=t.text(s.text);break;case"html":i+=t.html(s.text);break;case"link":i+=t.link(s.href,s.title,this.parseInline(s.tokens,t));break;case"image":i+=t.image(s.href,s.title,s.text);break;case"strong":i+=t.strong(this.parseInline(s.tokens,t));break;case"em":i+=t.em(this.parseInline(s.tokens,t));break;case"codespan":i+=t.codespan(s.text);break;case"br":i+=t.br();break;case"del":i+=t.del(this.parseInline(s.tokens,t));break;default:{const e='Token with "'+s.type+'" type was not found.';if(this.options.silent)return void console.error(e);throw new Error(e)}}return i}}class Z{constructor(e){this.options=e||t}static passThroughHooks=new Set(["preprocess","postprocess"]);preprocess(e){return e}postprocess(e){return e}}function M(e,t){return(n,s,r)=>{"function"==typeof s&&(r=s,s=null);const i={...s},l=function(e,t,n){return s=>{if(s.message+="\nPlease report this to https://github.com/markedjs/marked.",e){const e="<p>An error occurred:</p><pre>"+a(s.message+"",!0)+"</pre>";return t?Promise.resolve(e):n?void n(null,e):e}if(t)return Promise.reject(s);if(!n)throw s;n(s)}}((s={...P.defaults,...i}).silent,s.async,r);if(null==n)return l(new Error("marked(): input parameter is undefined or null"));if("string"!=typeof n)return l(new Error("marked(): input parameter is of type "+Object.prototype.toString.call(n)+", string expected"));if(function(e){e&&e.sanitize&&!e.silent&&console.warn("marked(): sanitize and sanitizer parameters are deprecated since version 0.7.0, should not be used and will be removed in the future. 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+/*!
+   * The reveal.js markdown plugin. Handles parsing of
+   * markdown inside of presentations as well as loading
+   * of external markdown documents.
+   */
+const N="__SCRIPT_END__",O=/\[\s*((\d*):)?\s*([\s\d,|-]*)\]/,D={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#39;"};return()=>{let e;function t(e){let t=(e.querySelector("[data-template]")||e.querySelector("script")||e).textContent;t=t.replace(new RegExp(N,"g"),"<\/script>");const n=t.match(/^\n?(\s*)/)[1].length,s=t.match(/^\n?(\t*)/)[1].length;return s>0?t=t.replace(new RegExp("\\n?\\t{"+s+"}(.*)","g"),(function(e,t){return"\n"+t})):n>1&&(t=t.replace(new RegExp("\\n? {"+n+"}(.*)","g"),(function(e,t){return"\n"+t}))),t}function n(e){const t=e.attributes,n=[];for(let e=0,s=t.length;e<s;e++){const s=t[e].name,r=t[e].value;/data\-(markdown|separator|vertical|notes)/gi.test(s)||(r?n.push(s+'="'+r+'"'):n.push(s))}return n.join(" ")}function s(t){const n=e?.getConfig?.().markdown;return(t=t||{}).separator=t.separator||n?.separator||"\r?\n---\r?\n",t.verticalSeparator=t.verticalSeparator||n?.verticalSeparator||null,t.notesSeparator=t.notesSeparator||n?.notesSeparator||"^s*notes?:",t.attributes=t.attributes||"",t}function r(e,t){t=s(t);const n=e.split(new RegExp(t.notesSeparator,"mgi"));return 2===n.length&&(e=n[0]+'<aside class="notes">'+P(n[1].trim())+"</aside>"),'<script type="text/template">'+(e=e.replace(/<\/script>/g,N))+"<\/script>"}function i(e,t){t=s(t);const n=new RegExp(t.separator+(t.verticalSeparator?"|"+t.verticalSeparator:""),"mg"),i=new RegExp(t.separator);let l,o,a,c=0,h=!0,p=[];for(;l=n.exec(e);)o=i.test(l[0]),!o&&h&&p.push([]),a=e.substring(c,l.index),o&&h?p.push(a):p[p.length-1].push(a),c=n.lastIndex,h=o;(h?p:p[p.length-1]).push(e.substring(c));let u="";for(let e=0,n=p.length;e<n;e++)p[e]instanceof Array?(u+="<section "+t.attributes+">",p[e].forEach((function(e){u+="<section data-markdown>"+r(e,t)+"</section>"})),u+="</section>"):u+="<section "+t.attributes+" data-markdown>"+r(p[e],t)+"</section>";return u}function l(e){return new Promise((function(s){const r=[];[].slice.call(e.querySelectorAll("section[data-markdown]:not([data-markdown-parsed])")).forEach((function(e,s){e.getAttribute("data-markdown").length?r.push(function(e){return new Promise((function(t,n){const s=new XMLHttpRequest,r=e.getAttribute("data-markdown"),i=e.getAttribute("data-charset");null!==i&&""!==i&&s.overrideMimeType("text/html; charset="+i),s.onreadystatechange=function(e,s){4===s.readyState&&(s.status>=200&&s.status<300||0===s.status?t(s,r):n(s,r))}.bind(this,e,s),s.open("GET",r,!0);try{s.send()}catch(e){console.warn("Failed to get the Markdown file "+r+". Make sure that the presentation and the file are served by a HTTP server and the file can be found there. "+e),t(s,r)}}))}(e).then((function(t,s){e.outerHTML=i(t.responseText,{separator:e.getAttribute("data-separator"),verticalSeparator:e.getAttribute("data-separator-vertical"),notesSeparator:e.getAttribute("data-separator-notes"),attributes:n(e)})}),(function(t,n){e.outerHTML='<section data-state="alert">ERROR: The attempt to fetch '+n+" failed with HTTP status "+t.status+".Check your browser's JavaScript console for more details.<p>Remember that you need to serve the presentation HTML from a HTTP server.</p></section>"}))):e.outerHTML=i(t(e),{separator:e.getAttribute("data-separator"),verticalSeparator:e.getAttribute("data-separator-vertical"),notesSeparator:e.getAttribute("data-separator-notes"),attributes:n(e)})})),Promise.all(r).then(s)}))}function o(e,t,n){const s=new RegExp(n,"mg"),r=new RegExp('([^"= ]+?)="([^"]+?)"|(data-[^"= ]+?)(?=[" ])',"mg");let i,l,o=e.nodeValue;if(i=s.exec(o)){const n=i[1];for(o=o.substring(0,i.index)+o.substring(s.lastIndex),e.nodeValue=o;l=r.exec(n);)l[2]?t.setAttribute(l[1],l[2]):t.setAttribute(l[3],"");return!0}return!1}function a(e,t,n,s,r){if(null!==t&&void 0!==t.childNodes&&t.childNodes.length>0){let n=t;for(let i=0;i<t.childNodes.length;i++){const l=t.childNodes[i];if(i>0){let e=i-1;for(;e>=0;){const s=t.childNodes[e];if("function"==typeof s.setAttribute&&"BR"!==s.tagName){n=s;break}e-=1}}let o=e;"section"===l.nodeName&&(o=l,n=l),"function"!=typeof l.setAttribute&&l.nodeType!==Node.COMMENT_NODE||a(o,l,n,s,r)}}t.nodeType===Node.COMMENT_NODE&&!1===o(t,n,s)&&o(t,e,r)}function c(){const n=e.getRevealElement().querySelectorAll("[data-markdown]:not([data-markdown-parsed])");return[].slice.call(n).forEach((function(e){e.setAttribute("data-markdown-parsed",!0);const n=e.querySelector("aside.notes"),s=t(e);e.innerHTML=P(s),a(e,e,null,e.getAttribute("data-element-attributes")||e.parentNode.getAttribute("data-element-attributes")||"\\.element\\s*?(.+?)$",e.getAttribute("data-attributes")||e.parentNode.getAttribute("data-attributes")||"\\.slide:\\s*?(\\S.+?)$"),n&&e.appendChild(n)})),Promise.resolve()}return{id:"markdown",init:function(t){e=t;let{renderer:n,animateLists:s,...r}=e.getConfig().markdown||{};return n||(n=new P.Renderer,n.code=(e,t)=>{let n="",s="";if(O.test(t)){let e=t.match(O)[2];e&&(n=`data-ln-start-from="${e.trim()}"`),s=t.match(O)[3].trim(),s=`data-line-numbers="${s}"`,t=t.replace(O,"").trim()}return`<pre><code ${s} ${n} class="${t}">${e=e.replace(/([&<>'"])/g,(e=>D[e]))}</code></pre>`}),!0===s&&(n.listitem=e=>`<li class="fragment">${e}</li>`),P.setOptions({renderer:n,...r}),l(e.getRevealElement()).then(c)},processSlides:l,convertSlides:c,slidify:i,marked:P}}}));

src/.quarto/_freeze/site_libs/revealjs/plugin/markdown/plugin.js

@@ -0,0 +1,491 @@
+/*!
+ * The reveal.js markdown plugin. Handles parsing of
+ * markdown inside of presentations as well as loading
+ * of external markdown documents.
+ */
+
+import { marked } from 'marked';
+
+const DEFAULT_SLIDE_SEPARATOR = '\r?\n---\r?\n',
+	  DEFAULT_VERTICAL_SEPARATOR = null,
+	  DEFAULT_NOTES_SEPARATOR = '^\s*notes?:',
+	  DEFAULT_ELEMENT_ATTRIBUTES_SEPARATOR = '\\\.element\\\s*?(.+?)$',
+	  DEFAULT_SLIDE_ATTRIBUTES_SEPARATOR = '\\\.slide:\\\s*?(\\\S.+?)$';
+
+const SCRIPT_END_PLACEHOLDER = '__SCRIPT_END__';
+
+// match an optional line number offset and highlight line numbers
+// [<line numbers>] or [<offset>: <line numbers>]
+const CODE_LINE_NUMBER_REGEX = /\[\s*((\d*):)?\s*([\s\d,|-]*)\]/;
+
+const HTML_ESCAPE_MAP = {
+  '&': '&amp;',
+  '<': '&lt;',
+  '>': '&gt;',
+  '"': '&quot;',
+  "'": '&#39;'
+};
+
+const Plugin = () => {
+
+	// The reveal.js instance this plugin is attached to
+	let deck;
+
+	/**
+	 * Retrieves the markdown contents of a slide section
+	 * element. Normalizes leading tabs/whitespace.
+	 */
+	function getMarkdownFromSlide( section ) {
+
+		// look for a <script> or <textarea data-template> wrapper
+		const template = section.querySelector( '[data-template]' ) || section.querySelector( 'script' );
+
+		// strip leading whitespace so it isn't evaluated as code
+		let text = ( template || section ).textContent;
+
+		// restore script end tags
+		text = text.replace( new RegExp( SCRIPT_END_PLACEHOLDER, 'g' ), '</script>' );
+
+		const leadingWs = text.match( /^\n?(\s*)/ )[1].length,
+			leadingTabs = text.match( /^\n?(\t*)/ )[1].length;
+
+		if( leadingTabs > 0 ) {
+			text = text.replace( new RegExp('\\n?\\t{' + leadingTabs + '}(.*)','g'), function(m, p1) { return '\n' + p1 ; } );
+		}
+		else if( leadingWs > 1 ) {
+			text = text.replace( new RegExp('\\n? {' + leadingWs + '}(.*)', 'g'), function(m, p1) { return '\n' + p1 ; } );
+		}
+
+		return text;
+
+	}
+
+	/**
+	 * Given a markdown slide section element, this will
+	 * return all arguments that aren't related to markdown
+	 * parsing. Used to forward any other user-defined arguments
+	 * to the output markdown slide.
+	 */
+	function getForwardedAttributes( section ) {
+
+		const attributes = section.attributes;
+		const result = [];
+
+		for( let i = 0, len = attributes.length; i < len; i++ ) {
+			const name = attributes[i].name,
+				value = attributes[i].value;
+
+			// disregard attributes that are used for markdown loading/parsing
+			if( /data\-(markdown|separator|vertical|notes)/gi.test( name ) ) continue;
+
+			if( value ) {
+				result.push( name + '="' + value + '"' );
+			}
+			else {
+				result.push( name );
+			}
+		}
+
+		return result.join( ' ' );
+
+	}
+
+	/**
+	 * Inspects the given options and fills out default
+	 * values for what's not defined.
+	 */
+	function getSlidifyOptions( options ) {
+		const markdownConfig = deck?.getConfig?.().markdown;
+
+		options = options || {};
+		options.separator = options.separator || markdownConfig?.separator || DEFAULT_SLIDE_SEPARATOR;
+		options.verticalSeparator = options.verticalSeparator || markdownConfig?.verticalSeparator || DEFAULT_VERTICAL_SEPARATOR;
+		options.notesSeparator = options.notesSeparator || markdownConfig?.notesSeparator || DEFAULT_NOTES_SEPARATOR;
+		options.attributes = options.attributes || '';
+
+		return options;
+
+	}
+
+	/**
+	 * Helper function for constructing a markdown slide.
+	 */
+	function createMarkdownSlide( content, options ) {
+
+		options = getSlidifyOptions( options );
+
+		const notesMatch = content.split( new RegExp( options.notesSeparator, 'mgi' ) );
+
+		if( notesMatch.length === 2 ) {
+			content = notesMatch[0] + '<aside class="notes">' + marked(notesMatch[1].trim()) + '</aside>';
+		}
+
+		// prevent script end tags in the content from interfering
+		// with parsing
+		content = content.replace( /<\/script>/g, SCRIPT_END_PLACEHOLDER );
+
+		return '<script type="text/template">' + content + '</script>';
+
+	}
+
+	/**
+	 * Parses a data string into multiple slides based
+	 * on the passed in separator arguments.
+	 */
+	function slidify( markdown, options ) {
+
+		options = getSlidifyOptions( options );
+
+		const separatorRegex = new RegExp( options.separator + ( options.verticalSeparator ? '|' + options.verticalSeparator : '' ), 'mg' ),
+			horizontalSeparatorRegex = new RegExp( options.separator );
+
+		let matches,
+			lastIndex = 0,
+			isHorizontal,
+			wasHorizontal = true,
+			content,
+			sectionStack = [];
+
+		// iterate until all blocks between separators are stacked up
+		while( matches = separatorRegex.exec( markdown ) ) {
+			const notes = null;
+
+			// determine direction (horizontal by default)
+			isHorizontal = horizontalSeparatorRegex.test( matches[0] );
+
+			if( !isHorizontal && wasHorizontal ) {
+				// create vertical stack
+				sectionStack.push( [] );
+			}
+
+			// pluck slide content from markdown input
+			content = markdown.substring( lastIndex, matches.index );
+
+			if( isHorizontal && wasHorizontal ) {
+				// add to horizontal stack
+				sectionStack.push( content );
+			}
+			else {
+				// add to vertical stack
+				sectionStack[sectionStack.length-1].push( content );
+			}
+
+			lastIndex = separatorRegex.lastIndex;
+			wasHorizontal = isHorizontal;
+		}
+
+		// add the remaining slide
+		( wasHorizontal ? sectionStack : sectionStack[sectionStack.length-1] ).push( markdown.substring( lastIndex ) );
+
+		let markdownSections = '';
+
+		// flatten the hierarchical stack, and insert <section data-markdown> tags
+		for( let i = 0, len = sectionStack.length; i < len; i++ ) {
+			// vertical
+			if( sectionStack[i] instanceof Array ) {
+				markdownSections += '<section '+ options.attributes +'>';
+
+				sectionStack[i].forEach( function( child ) {
+					markdownSections += '<section data-markdown>' + createMarkdownSlide( child, options ) + '</section>';
+				} );
+
+				markdownSections += '</section>';
+			}
+			else {
+				markdownSections += '<section '+ options.attributes +' data-markdown>' + createMarkdownSlide( sectionStack[i], options ) + '</section>';
+			}
+		}
+
+		return markdownSections;
+
+	}
+
+	/**
+	 * Parses any current data-markdown slides, splits
+	 * multi-slide markdown into separate sections and
+	 * handles loading of external markdown.
+	 */
+	function processSlides( scope ) {
+
+		return new Promise( function( resolve ) {
+
+			const externalPromises = [];
+
+			[].slice.call( scope.querySelectorAll( 'section[data-markdown]:not([data-markdown-parsed])') ).forEach( function( section, i ) {
+
+				if( section.getAttribute( 'data-markdown' ).length ) {
+
+					externalPromises.push( loadExternalMarkdown( section ).then(
+
+						// Finished loading external file
+						function( xhr, url ) {
+							section.outerHTML = slidify( xhr.responseText, {
+								separator: section.getAttribute( 'data-separator' ),
+								verticalSeparator: section.getAttribute( 'data-separator-vertical' ),
+								notesSeparator: section.getAttribute( 'data-separator-notes' ),
+								attributes: getForwardedAttributes( section )
+							});
+						},
+
+						// Failed to load markdown
+						function( xhr, url ) {
+							section.outerHTML = '<section data-state="alert">' +
+								'ERROR: The attempt to fetch ' + url + ' failed with HTTP status ' + xhr.status + '.' +
+								'Check your browser\'s JavaScript console for more details.' +
+								'<p>Remember that you need to serve the presentation HTML from a HTTP server.</p>' +
+								'</section>';
+						}
+
+					) );
+
+				}
+				else {
+
+					section.outerHTML = slidify( getMarkdownFromSlide( section ), {
+						separator: section.getAttribute( 'data-separator' ),
+						verticalSeparator: section.getAttribute( 'data-separator-vertical' ),
+						notesSeparator: section.getAttribute( 'data-separator-notes' ),
+						attributes: getForwardedAttributes( section )
+					});
+
+				}
+
+			});
+
+			Promise.all( externalPromises ).then( resolve );
+
+		} );
+
+	}
+
+	function loadExternalMarkdown( section ) {
+
+		return new Promise( function( resolve, reject ) {
+
+			const xhr = new XMLHttpRequest(),
+				url = section.getAttribute( 'data-markdown' );
+
+			const datacharset = section.getAttribute( 'data-charset' );
+
+			// see https://developer.mozilla.org/en-US/docs/Web/API/element.getAttribute#Notes
+			if( datacharset !== null && datacharset !== '' ) {
+				xhr.overrideMimeType( 'text/html; charset=' + datacharset );
+			}
+
+			xhr.onreadystatechange = function( section, xhr ) {
+				if( xhr.readyState === 4 ) {
+					// file protocol yields status code 0 (useful for local debug, mobile applications etc.)
+					if ( ( xhr.status >= 200 && xhr.status < 300 ) || xhr.status === 0 ) {
+
+						resolve( xhr, url );
+
+					}
+					else {
+
+						reject( xhr, url );
+
+					}
+				}
+			}.bind( this, section, xhr );
+
+			xhr.open( 'GET', url, true );
+
+			try {
+				xhr.send();
+			}
+			catch ( e ) {
+				console.warn( 'Failed to get the Markdown file ' + url + '. Make sure that the presentation and the file are served by a HTTP server and the file can be found there. ' + e );
+				resolve( xhr, url );
+			}
+
+		} );
+
+	}
+
+	/**
+	 * Check if a node value has the attributes pattern.
+	 * If yes, extract it and add that value as one or several attributes
+	 * to the target element.
+	 *
+	 * You need Cache Killer on Chrome to see the effect on any FOM transformation
+	 * directly on refresh (F5)
+	 * http://stackoverflow.com/questions/5690269/disabling-chrome-cache-for-website-development/7000899#answer-11786277
+	 */
+	function addAttributeInElement( node, elementTarget, separator ) {
+
+		const markdownClassesInElementsRegex = new RegExp( separator, 'mg' );
+		const markdownClassRegex = new RegExp( "([^\"= ]+?)=\"([^\"]+?)\"|(data-[^\"= ]+?)(?=[\" ])", 'mg' );
+		let nodeValue = node.nodeValue;
+		let matches,
+			matchesClass;
+		if( matches = markdownClassesInElementsRegex.exec( nodeValue ) ) {
+
+			const classes = matches[1];
+			nodeValue = nodeValue.substring( 0, matches.index ) + nodeValue.substring( markdownClassesInElementsRegex.lastIndex );
+			node.nodeValue = nodeValue;
+			while( matchesClass = markdownClassRegex.exec( classes ) ) {
+				if( matchesClass[2] ) {
+					elementTarget.setAttribute( matchesClass[1], matchesClass[2] );
+				} else {
+					elementTarget.setAttribute( matchesClass[3], "" );
+				}
+			}
+			return true;
+		}
+		return false;
+	}
+
+	/**
+	 * Add attributes to the parent element of a text node,
+	 * or the element of an attribute node.
+	 */
+	function addAttributes( section, element, previousElement, separatorElementAttributes, separatorSectionAttributes ) {
+
+		if ( element !== null && element.childNodes !== undefined && element.childNodes.length > 0 ) {
+			let previousParentElement = element;
+			for( let i = 0; i < element.childNodes.length; i++ ) {
+				const childElement = element.childNodes[i];
+				if ( i > 0 ) {
+					let j = i - 1;
+					while ( j >= 0 ) {
+						const aPreviousChildElement = element.childNodes[j];
+						if ( typeof aPreviousChildElement.setAttribute === 'function' && aPreviousChildElement.tagName !== "BR" ) {
+							previousParentElement = aPreviousChildElement;
+							break;
+						}
+						j = j - 1;
+					}
+				}
+				let parentSection = section;
+				if( childElement.nodeName ===  "section" ) {
+					parentSection = childElement ;
+					previousParentElement = childElement ;
+				}
+				if ( typeof childElement.setAttribute === 'function' || childElement.nodeType === Node.COMMENT_NODE ) {
+					addAttributes( parentSection, childElement, previousParentElement, separatorElementAttributes, separatorSectionAttributes );
+				}
+			}
+		}
+
+		if ( element.nodeType === Node.COMMENT_NODE ) {
+			if ( addAttributeInElement( element, previousElement, separatorElementAttributes ) === false ) {
+				addAttributeInElement( element, section, separatorSectionAttributes );
+			}
+		}
+	}
+
+	/**
+	 * Converts any current data-markdown slides in the
+	 * DOM to HTML.
+	 */
+	function convertSlides() {
+
+		const sections = deck.getRevealElement().querySelectorAll( '[data-markdown]:not([data-markdown-parsed])');
+
+		[].slice.call( sections ).forEach( function( section ) {
+
+			section.setAttribute( 'data-markdown-parsed', true )
+
+			const notes = section.querySelector( 'aside.notes' );
+			const markdown = getMarkdownFromSlide( section );
+
+			section.innerHTML = marked( markdown );
+			addAttributes( 	section, section, null, section.getAttribute( 'data-element-attributes' ) ||
+							section.parentNode.getAttribute( 'data-element-attributes' ) ||
+							DEFAULT_ELEMENT_ATTRIBUTES_SEPARATOR,
+							section.getAttribute( 'data-attributes' ) ||
+							section.parentNode.getAttribute( 'data-attributes' ) ||
+							DEFAULT_SLIDE_ATTRIBUTES_SEPARATOR);
+
+			// If there were notes, we need to re-add them after
+			// having overwritten the section's HTML
+			if( notes ) {
+				section.appendChild( notes );
+			}
+
+		} );
+
+		return Promise.resolve();
+
+	}
+
+	function escapeForHTML( input ) {
+
+	  return input.replace( /([&<>'"])/g, char => HTML_ESCAPE_MAP[char] );
+
+	}
+
+	return {
+		id: 'markdown',
+
+		/**
+		 * Starts processing and converting Markdown within the
+		 * current reveal.js deck.
+		 */
+		init: function( reveal ) {
+
+			deck = reveal;
+
+			let { renderer, animateLists, ...markedOptions } = deck.getConfig().markdown || {};
+
+			if( !renderer ) {
+				renderer = new marked.Renderer();
+
+				renderer.code = ( code, language ) => {
+
+					// Off by default
+					let lineNumberOffset = '';
+					let lineNumbers = '';
+
+					// Users can opt in to show line numbers and highlight
+					// specific lines.
+					// ```javascript []        show line numbers
+					// ```javascript [1,4-8]   highlights lines 1 and 4-8
+					// optional line number offset:
+					// ```javascript [25: 1,4-8]   start line numbering at 25,
+					//                             highlights lines 1 (numbered as 25) and 4-8 (numbered as 28-32)
+					if( CODE_LINE_NUMBER_REGEX.test( language ) ) {
+						let lineNumberOffsetMatch =  language.match( CODE_LINE_NUMBER_REGEX )[2];
+						if (lineNumberOffsetMatch){
+							lineNumberOffset =  `data-ln-start-from="${lineNumberOffsetMatch.trim()}"`;
+						}
+
+						lineNumbers = language.match( CODE_LINE_NUMBER_REGEX )[3].trim();
+						lineNumbers = `data-line-numbers="${lineNumbers}"`;
+						language = language.replace( CODE_LINE_NUMBER_REGEX, '' ).trim();
+					}
+
+					// Escape before this gets injected into the DOM to
+					// avoid having the HTML parser alter our code before
+					// highlight.js is able to read it
+					code = escapeForHTML( code );
+
+					// return `<pre><code ${lineNumbers} class="${language}">${code}</code></pre>`;
+
+					return `<pre><code ${lineNumbers} ${lineNumberOffset} class="${language}">${code}</code></pre>`;
+				};
+			}
+
+			if( animateLists === true ) {
+				renderer.listitem = text => `<li class="fragment">${text}</li>`;
+			}
+
+			marked.setOptions( {
+				renderer,
+				...markedOptions
+			} );
+
+			return processSlides( deck.getRevealElement() ).then( convertSlides );
+
+		},
+
+		// TODO: Do these belong in the API?
+		processSlides: processSlides,
+		convertSlides: convertSlides,
+		slidify: slidify,
+		marked: marked
+	}
+
+};
+
+export default Plugin;

src/.quarto/_freeze/site_libs/revealjs/plugin/math/katex.js

@@ -0,0 +1,96 @@
+/**
+ * A plugin which enables rendering of math equations inside
+ * of reveal.js slides. Essentially a thin wrapper for KaTeX.
+ *
+ * @author Hakim El Hattab
+ * @author Gerhard Burger
+ */
+export const KaTeX = () => {
+	let deck;
+
+	let defaultOptions = {
+		version: 'latest',
+		delimiters: [
+			{left: '$$', right: '$$', display: true}, // Note: $$ has to come before $
+			{left: '$', right: '$', display: false},
+			{left: '\\(', right: '\\)', display: false},
+			{left: '\\[', right: '\\]', display: true}
+		],
+		ignoredTags: ['script', 'noscript', 'style', 'textarea', 'pre']
+	}
+
+	const loadCss = src => {
+		let link = document.createElement('link');
+		link.rel = 'stylesheet';
+		link.href = src;
+		document.head.appendChild(link);
+	};
+
+	/**
+	 * Loads a JavaScript file and returns a Promise for when it is loaded
+	 * Credits: https://aaronsmith.online/easily-load-an-external-script-using-javascript/
+	 */
+	const loadScript = src => {
+		return new Promise((resolve, reject) => {
+			const script = document.createElement('script')
+			script.type = 'text/javascript'
+			script.onload = resolve
+			script.onerror = reject
+			script.src = src
+			document.head.append(script)
+		})
+	};
+
+	async function loadScripts(urls) {
+		for(const url of urls) {
+			await loadScript(url);
+		}
+	}
+
+	return {
+		id: 'katex',
+
+		init: function (reveal) {
+
+			deck = reveal;
+
+			let revealOptions = deck.getConfig().katex || {};
+
+			let options = {...defaultOptions, ...revealOptions};
+			const {local, version, extensions, ...katexOptions} = options;
+
+			let baseUrl = options.local || 'https://cdn.jsdelivr.net/npm/katex';
+			let versionString = options.local ? '' : '@' + options.version;
+
+			let cssUrl = baseUrl + versionString + '/dist/katex.min.css';
+			let katexUrl = baseUrl + versionString + '/dist/katex.min.js';
+			let mhchemUrl = baseUrl + versionString + '/dist/contrib/mhchem.min.js'
+			let karUrl = baseUrl + versionString + '/dist/contrib/auto-render.min.js';
+
+			let katexScripts = [katexUrl];
+			if(options.extensions && options.extensions.includes("mhchem")) {
+				katexScripts.push(mhchemUrl);
+			}
+			katexScripts.push(karUrl);
+
+			const renderMath = () => {
+				renderMathInElement(reveal.getSlidesElement(), katexOptions);
+				deck.layout();
+			}
+
+			loadCss(cssUrl);
+
+			// For some reason dynamically loading with defer attribute doesn't result in the expected behavior, the below code does
+			loadScripts(katexScripts).then(() => {
+				if( deck.isReady() ) {
+					renderMath();
+				}
+				else {
+					deck.on( 'ready', renderMath.bind( this ) );
+				}
+			});
+
+		}
+	}
+
+};

src/.quarto/_freeze/site_libs/revealjs/plugin/math/math.esm.js

@@ -0,0 +1,6 @@
+const t=()=>{let t,e={messageStyle:"none",tex2jax:{inlineMath:[["$","$"],["\\(","\\)"]],skipTags:["script","noscript","style","textarea","pre"]},skipStartupTypeset:!0};return{id:"mathjax2",init:function(a){t=a;let n=t.getConfig().mathjax2||t.getConfig().math||{},i={...e,...n},s=(i.mathjax||"https://cdn.jsdelivr.net/npm/mathjax@2/MathJax.js")+"?config="+(i.config||"TeX-AMS_HTML-full");i.tex2jax={...e.tex2jax,...n.tex2jax},i.mathjax=i.config=null,function(t,e){let a=document.querySelector("head"),n=document.createElement("script");n.type="text/javascript",n.src=t;let i=()=>{"function"==typeof e&&(e.call(),e=null)};n.onload=i,n.onreadystatechange=()=>{"loaded"===this.readyState&&i()},a.appendChild(n)}(s,(function(){MathJax.Hub.Config(i),MathJax.Hub.Queue(["Typeset",MathJax.Hub,t.getRevealElement()]),MathJax.Hub.Queue(t.layout),t.on("slidechanged",(function(t){MathJax.Hub.Queue(["Typeset",MathJax.Hub,t.currentSlide])}))}))}}},e=t;
+/*!
+ * This plugin is a wrapper for the MathJax2,
+ * MathJax3 and KaTeX typesetter plugins.
+ */
+var a=Plugin=Object.assign(e(),{KaTeX:()=>{let t,e={version:"latest",delimiters:[{left:"$$",right:"$$",display:!0},{left:"$",right:"$",display:!1},{left:"\\(",right:"\\)",display:!1},{left:"\\[",right:"\\]",display:!0}],ignoredTags:["script","noscript","style","textarea","pre"]};const a=t=>new Promise(((e,a)=>{const n=document.createElement("script");n.type="text/javascript",n.onload=e,n.onerror=a,n.src=t,document.head.append(n)}));return{id:"katex",init:function(n){t=n;let i=t.getConfig().katex||{},s={...e,...i};const{local:l,version:o,extensions:r,...c}=s;let d=s.local||"https://cdn.jsdelivr.net/npm/katex",p=s.local?"":"@"+s.version,u=d+p+"/dist/katex.min.css",h=d+p+"/dist/contrib/mhchem.min.js",x=d+p+"/dist/contrib/auto-render.min.js",m=[d+p+"/dist/katex.min.js"];s.extensions&&s.extensions.includes("mhchem")&&m.push(h),m.push(x);const f=()=>{renderMathInElement(n.getSlidesElement(),c),t.layout()};(t=>{let e=document.createElement("link");e.rel="stylesheet",e.href=t,document.head.appendChild(e)})(u),async function(t){for(const e of t)await a(e)}(m).then((()=>{t.isReady()?f():t.on("ready",f.bind(this))}))}}},MathJax2:t,MathJax3:()=>{let t,e={tex:{inlineMath:[["$","$"],["\\(","\\)"]]},options:{skipHtmlTags:["script","noscript","style","textarea","pre"]},startup:{ready:()=>{MathJax.startup.defaultReady(),MathJax.startup.promise.then((()=>{t.layout()}))}}};return{id:"mathjax3",init:function(a){t=a;let n=t.getConfig().mathjax3||{},i={...e,...n};i.tex={...e.tex,...n.tex},i.options={...e.options,...n.options},i.startup={...e.startup,...n.startup};let s=i.mathjax||"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js";i.mathjax=null,window.MathJax=i,function(t,e){let a=document.createElement("script");a.type="text/javascript",a.id="MathJax-script",a.src=t,a.async=!0,a.onload=()=>{"function"==typeof e&&(e.call(),e=null)},document.head.appendChild(a)}(s,(function(){t.addEventListener("slidechanged",(function(t){MathJax.typeset()}))}))}}}});export{a as default};

src/.quarto/_freeze/site_libs/revealjs/plugin/math/math.js

@@ -0,0 +1 @@
+!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).RevealMath=e()}(this,(function(){"use strict";const t=()=>{let t,e={messageStyle:"none",tex2jax:{inlineMath:[["$","$"],["\\(","\\)"]],skipTags:["script","noscript","style","textarea","pre"]},skipStartupTypeset:!0};return{id:"mathjax2",init:function(n){t=n;let a=t.getConfig().mathjax2||t.getConfig().math||{},i={...e,...a},s=(i.mathjax||"https://cdn.jsdelivr.net/npm/mathjax@2/MathJax.js")+"?config="+(i.config||"TeX-AMS_HTML-full");i.tex2jax={...e.tex2jax,...a.tex2jax},i.mathjax=i.config=null,function(t,e){let n=document.querySelector("head"),a=document.createElement("script");a.type="text/javascript",a.src=t;let i=()=>{"function"==typeof e&&(e.call(),e=null)};a.onload=i,a.onreadystatechange=()=>{"loaded"===this.readyState&&i()},n.appendChild(a)}(s,(function(){MathJax.Hub.Config(i),MathJax.Hub.Queue(["Typeset",MathJax.Hub,t.getRevealElement()]),MathJax.Hub.Queue(t.layout),t.on("slidechanged",(function(t){MathJax.Hub.Queue(["Typeset",MathJax.Hub,t.currentSlide])}))}))}}},e=t;return Plugin=Object.assign(e(),{KaTeX:()=>{let t,e={version:"latest",delimiters:[{left:"$$",right:"$$",display:!0},{left:"$",right:"$",display:!1},{left:"\\(",right:"\\)",display:!1},{left:"\\[",right:"\\]",display:!0}],ignoredTags:["script","noscript","style","textarea","pre"]};const n=t=>new Promise(((e,n)=>{const a=document.createElement("script");a.type="text/javascript",a.onload=e,a.onerror=n,a.src=t,document.head.append(a)}));return{id:"katex",init:function(a){t=a;let i=t.getConfig().katex||{},s={...e,...i};const{local:o,version:l,extensions:r,...c}=s;let d=s.local||"https://cdn.jsdelivr.net/npm/katex",u=s.local?"":"@"+s.version,p=d+u+"/dist/katex.min.css",h=d+u+"/dist/contrib/mhchem.min.js",x=d+u+"/dist/contrib/auto-render.min.js",m=[d+u+"/dist/katex.min.js"];s.extensions&&s.extensions.includes("mhchem")&&m.push(h),m.push(x);const f=()=>{renderMathInElement(a.getSlidesElement(),c),t.layout()};(t=>{let e=document.createElement("link");e.rel="stylesheet",e.href=t,document.head.appendChild(e)})(p),async function(t){for(const e of t)await n(e)}(m).then((()=>{t.isReady()?f():t.on("ready",f.bind(this))}))}}},MathJax2:t,MathJax3:()=>{let t,e={tex:{inlineMath:[["$","$"],["\\(","\\)"]]},options:{skipHtmlTags:["script","noscript","style","textarea","pre"]},startup:{ready:()=>{MathJax.startup.defaultReady(),MathJax.startup.promise.then((()=>{t.layout()}))}}};return{id:"mathjax3",init:function(n){t=n;let a=t.getConfig().mathjax3||{},i={...e,...a};i.tex={...e.tex,...a.tex},i.options={...e.options,...a.options},i.startup={...e.startup,...a.startup};let s=i.mathjax||"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js";i.mathjax=null,window.MathJax=i,function(t,e){let n=document.createElement("script");n.type="text/javascript",n.id="MathJax-script",n.src=t,n.async=!0,n.onload=()=>{"function"==typeof e&&(e.call(),e=null)},document.head.appendChild(n)}(s,(function(){t.addEventListener("slidechanged",(function(t){MathJax.typeset()}))}))}}}})}));

src/.quarto/_freeze/site_libs/revealjs/plugin/math/mathjax2.js

@@ -0,0 +1,89 @@
+/**
+ * A plugin which enables rendering of math equations inside
+ * of reveal.js slides. Essentially a thin wrapper for MathJax.
+ *
+ * @author Hakim El Hattab
+ */
+export const MathJax2 = () => {
+
+	// The reveal.js instance this plugin is attached to
+	let deck;
+
+	let defaultOptions = {
+		messageStyle: 'none',
+		tex2jax: {
+			inlineMath: [ [ '$', '$' ], [ '\\(', '\\)' ] ],
+			skipTags: [ 'script', 'noscript', 'style', 'textarea', 'pre' ]
+		},
+		skipStartupTypeset: true
+	};
+
+	function loadScript( url, callback ) {
+
+		let head = document.querySelector( 'head' );
+		let script = document.createElement( 'script' );
+		script.type = 'text/javascript';
+		script.src = url;
+
+		// Wrapper for callback to make sure it only fires once
+		let finish = () => {
+			if( typeof callback === 'function' ) {
+				callback.call();
+				callback = null;
+			}
+		}
+
+		script.onload = finish;
+
+		// IE
+		script.onreadystatechange = () => {
+			if ( this.readyState === 'loaded' ) {
+				finish();
+			}
+		}
+
+		// Normal browsers
+		head.appendChild( script );
+
+	}
+
+	return {
+		id: 'mathjax2',
+
+		init: function( reveal ) {
+
+			deck = reveal;
+
+			let revealOptions = deck.getConfig().mathjax2 || deck.getConfig().math || {};
+
+			let options = { ...defaultOptions, ...revealOptions };
+			let mathjax = options.mathjax || 'https://cdn.jsdelivr.net/npm/mathjax@2/MathJax.js';
+			let config = options.config || 'TeX-AMS_HTML-full';
+			let url = mathjax + '?config=' + config;
+
+			options.tex2jax = { ...defaultOptions.tex2jax, ...revealOptions.tex2jax };
+
+			options.mathjax = options.config = null;
+
+			loadScript( url, function() {
+
+				MathJax.Hub.Config( options );
+
+				// Typeset followed by an immediate reveal.js layout since
+				// the typesetting process could affect slide height
+				MathJax.Hub.Queue( [ 'Typeset', MathJax.Hub, deck.getRevealElement() ] );
+				MathJax.Hub.Queue( deck.layout );
+
+				// Reprocess equations in slides when they turn visible
+				deck.on( 'slidechanged', function( event ) {
+
+					MathJax.Hub.Queue( [ 'Typeset', MathJax.Hub, event.currentSlide ] );
+
+				} );
+
+			} );
+
+		}
+	}
+
+};

src/.quarto/_freeze/site_libs/revealjs/plugin/math/mathjax3.js

@@ -0,0 +1,77 @@
+/**
+ * A plugin which enables rendering of math equations inside
+ * of reveal.js slides. Essentially a thin wrapper for MathJax 3
+ *
+ * @author Hakim El Hattab
+ * @author Gerhard Burger
+ */
+export const MathJax3 = () => {
+
+    // The reveal.js instance this plugin is attached to
+    let deck;
+
+    let defaultOptions = {
+        tex: {
+            inlineMath: [ [ '$', '$' ], [ '\\(', '\\)' ]  ]
+        },
+        options: {
+            skipHtmlTags: [ 'script', 'noscript', 'style', 'textarea', 'pre' ]
+        },
+        startup: {
+            ready: () => {
+                MathJax.startup.defaultReady();
+                MathJax.startup.promise.then(() => {
+                    deck.layout();
+                });
+            }
+        }
+    };
+
+    function loadScript( url, callback ) {
+
+        let script = document.createElement( 'script' );
+        script.type = "text/javascript"
+        script.id = "MathJax-script"
+        script.src = url;
+        script.async = true
+
+        // Wrapper for callback to make sure it only fires once
+        script.onload = () => {
+            if (typeof callback === 'function') {
+                callback.call();
+                callback = null;
+            }
+        };
+
+        document.head.appendChild( script );
+
+    }
+
+    return {
+        id: 'mathjax3',
+        init: function(reveal) {
+
+            deck = reveal;
+
+            let revealOptions = deck.getConfig().mathjax3 || {};
+            let options = {...defaultOptions, ...revealOptions};
+            options.tex = {...defaultOptions.tex, ...revealOptions.tex}
+            options.options = {...defaultOptions.options, ...revealOptions.options}
+            options.startup = {...defaultOptions.startup, ...revealOptions.startup}
+
+            let url = options.mathjax || 'https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js';
+            options.mathjax = null;
+
+            window.MathJax = options;
+
+            loadScript( url, function() {
+                // Reprocess equations in slides when they turn visible
+                deck.addEventListener( 'slidechanged', function( event ) {
+                    MathJax.typeset();
+                } );
+            } );
+
+        }
+    }
+
+};

src/.quarto/_freeze/site_libs/revealjs/plugin/math/plugin.js

@@ -0,0 +1,15 @@
+import {KaTeX} from "./katex";
+import {MathJax2} from "./mathjax2";
+import {MathJax3} from "./mathjax3";
+
+const defaultTypesetter = MathJax2;
+
+/*!
+ * This plugin is a wrapper for the MathJax2,
+ * MathJax3 and KaTeX typesetter plugins.
+ */
+export default Plugin = Object.assign( defaultTypesetter(), {
+	KaTeX,
+	MathJax2,
+	MathJax3
+} );

src/.quarto/_freeze/site_libs/revealjs/plugin/notes/notes.esm.js

@@ -0,0 +1 @@
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$={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:b,tag:"^comment|^</[a-zA-Z][\\w:-]*\\s*>|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^<![a-zA-Z]+\\s[\\s\\S]*?>|^<!\\[CDATA\\[[\\s\\S]*?\\]\\]>",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:([punct_])|[^\s*]))|^_+(?:([punct*])|([^\s_]))/,rDelimAst:/^(?:[^_*\\]|\\.)*?\_\_(?:[^_*\\]|\\.)*?\*(?:[^_*\\]|\\.)*?(?=\_\_)|(?:[^*\\]|\\.)+(?=[^*])|[punct_](\*+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\*+)(?=[punct_\s]|$)|[punct_\s](\*+)(?=[^punct*_\s])|[\s](\*+)(?=[punct_])|[punct_](\*+)(?=[punct_])|(?:[^punct*_\s\\]|\\.)(\*+)(?=[^punct*_\s])/,rDelimUnd:/^(?:[^_*\\]|\\.)*?\*\*(?:[^_*\\]|\\.)*?\_(?:[^_*\\]|\\.)*?(?=\*\*)|(?:[^_\\]|\\.)+(?=[^_])|[punct*](\_+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\_+)(?=[punct*\s]|$)|[punct*\s](\_+)(?=[^punct*_\s])|[\s](\_+)(?=[punct*])|[punct*](\_+)(?=[punct*])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:b,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\<!\[`*_]|\b_|$)|[^ ](?= {2,}\n)))/,punctuation:/^([\spunctuation])/};function E(t){return t.replace(/---/g,"—").replace(/--/g,"–").replace(/(^|[-\u2014/(\[{"\s])'/g,"$1‘").replace(/'/g,"’").replace(/(^|[-\u2014/(\[{\u2018\s])"/g,"$1“").replace(/"/g,"”").replace(/\.{3}/g,"…")}function A(t){let e,n,i="";const s=t.length;for(e=0;e<s;e++)n=t.charCodeAt(e),Math.random()>.5&&(n="x"+n.toString(16)),i+="&#"+n+";";return i}$._punctuation="!\"#$%&'()+\\-.,/:;<=>?@\\[\\]`^{|}~",$.punctuation=d($.punctuation).replace(/punctuation/g,$._punctuation).getRegex(),$.blockSkip=/\[[^\]]*?\]\([^\)]*?\)|`[^`]*?`|<[^>]*?>/g,$.escapedEmSt=/(?:^|[^\\])(?:\\\\)*\\[*_]/g,$._comment=d(z._comment).replace("(?:--\x3e|$)","--\x3e").getRegex(),$.emStrong.lDelim=d($.emStrong.lDelim).replace(/punct/g,$._punctuation).getRegex(),$.emStrong.rDelimAst=d($.emStrong.rDelimAst,"g").replace(/punct/g,$._punctuation).getRegex(),$.emStrong.rDelimUnd=d($.emStrong.rDelimUnd,"g").replace(/punct/g,$._punctuation).getRegex(),$._escapes=/\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/g,$._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,$._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,$.autolink=d($.autolink).replace("scheme",$._scheme).replace("email",$._email).getRegex(),$._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,$.tag=d($.tag).replace("comment",$._comment).replace("attribute",$._attribute).getRegex(),$._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,$._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,$._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,$.link=d($.link).replace("label",$._label).replace("href",$._href).replace("title",$._title).getRegex(),$.reflink=d($.reflink).replace("label",$._label).replace("ref",z._label).getRegex(),$.nolink=d($.nolink).replace("ref",z._label).getRegex(),$.reflinkSearch=d($.reflinkSearch,"g").replace("reflink",$.reflink).replace("nolink",$.nolink).getRegex(),$.normal={...$},$.pedantic={...$.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:d(/^!?\[(label)\]\((.*?)\)/).replace("label",$._label).getRegex(),reflink:d(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",$._label).getRegex()},$.gfm={...$.normal,escape:d($.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\<!\[`*~_]|\b_|https?:\/\/|ftp:\/\/|www\.|$)|[^ ](?= {2,}\n)|[^a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-](?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)))/},$.gfm.url=d($.gfm.url,"i").replace("email",$.gfm._extended_email).getRegex(),$.breaks={...$.gfm,br:d($.br).replace("{2,}","*").getRegex(),text:d($.gfm.text).replace("\\b_","\\b_| {2,}\\n").replace(/\{2,\}/g,"*").getRegex()};class R{constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||e,this.options.tokenizer=this.options.tokenizer||new _,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:z.normal,inline:$.normal};this.options.pedantic?(n.block=z.pedantic,n.inline=$.pedantic):this.options.gfm&&(n.block=z.gfm,this.options.breaks?n.inline=$.breaks:n.inline=$.gfm),this.tokenizer.rules=n}static get rules(){return{block:z,inline:$}}static lex(t,e){return new R(e).lex(t)}static lexInline(t,e){return new R(e).inlineTokens(t)}lex(t){let e;for(t=t.replace(/\r\n|\r/g,"\n"),this.blockTokens(t,this.tokens);e=this.inlineQueue.shift();)this.inlineTokens(e.src,e.tokens);return this.tokens}blockTokens(t,e=[]){let n,i,s,r;for(t=this.options.pedantic?t.replace(/\t/g,"    ").replace(/^ +$/gm,""):t.replace(/^( *)(\t+)/gm,((t,e,n)=>e+"    ".repeat(n.length)));t;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((i=>!!(n=i.call({lexer:this},t,e))&&(t=t.substring(n.raw.length),e.push(n),!0)))))if(n=this.tokenizer.space(t))t=t.substring(n.raw.length),1===n.raw.length&&e.length>0?e[e.length-1].raw+="\n":e.push(n);else if(n=this.tokenizer.code(t))t=t.substring(n.raw.length),i=e[e.length-1],!i||"paragraph"!==i.type&&"text"!==i.type?e.push(n):(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue[this.inlineQueue.length-1].src=i.text);else if(n=this.tokenizer.fences(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.heading(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.hr(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.blockquote(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.list(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.html(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.def(t))t=t.substring(n.raw.length),i=e[e.length-1],!i||"paragraph"!==i.type&&"text"!==i.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(i.raw+="\n"+n.raw,i.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=i.text);else if(n=this.tokenizer.table(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.lheading(t))t=t.substring(n.raw.length),e.push(n);else{if(s=t,this.options.extensions&&this.options.extensions.startBlock){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startBlock.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof i&&i>=0&&(e=Math.min(e,i))})),e<1/0&&e>=0&&(s=t.substring(0,e+1))}if(this.state.top&&(n=this.tokenizer.paragraph(s)))i=e[e.length-1],r&&"paragraph"===i.type?(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=i.text):e.push(n),r=s.length!==t.length,t=t.substring(n.raw.length);else if(n=this.tokenizer.text(t))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===i.type?(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=i.text):e.push(n);else if(t){const e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}return this.state.top=!0,e}inline(t,e=[]){return this.inlineQueue.push({src:t,tokens:e}),e}inlineTokens(t,e=[]){let n,i,s,r,a,o,l=t;if(this.tokens.links){const t=Object.keys(this.tokens.links);if(t.length>0)for(;null!=(r=this.tokenizer.rules.inline.reflinkSearch.exec(l));)t.includes(r[0].slice(r[0].lastIndexOf("[")+1,-1))&&(l=l.slice(0,r.index)+"["+S("a",r[0].length-2)+"]"+l.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(r=this.tokenizer.rules.inline.blockSkip.exec(l));)l=l.slice(0,r.index)+"["+S("a",r[0].length-2)+"]"+l.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(r=this.tokenizer.rules.inline.escapedEmSt.exec(l));)l=l.slice(0,r.index+r[0].length-2)+"++"+l.slice(this.tokenizer.rules.inline.escapedEmSt.lastIndex),this.tokenizer.rules.inline.escapedEmSt.lastIndex--;for(;t;)if(a||(o=""),a=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((i=>!!(n=i.call({lexer:this},t,e))&&(t=t.substring(n.raw.length),e.push(n),!0)))))if(n=this.tokenizer.escape(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.tag(t))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.link(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.reflink(t,this.tokens.links))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.emStrong(t,l,o))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.codespan(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.br(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.del(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.autolink(t,A))t=t.substring(n.raw.length),e.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(t,A))){if(s=t,this.options.extensions&&this.options.extensions.startInline){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startInline.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof i&&i>=0&&(e=Math.min(e,i))})),e<1/0&&e>=0&&(s=t.substring(0,e+1))}if(n=this.tokenizer.inlineText(s,E))t=t.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(o=n.raw.slice(-1)),a=!0,i=e[e.length-1],i&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(t){const e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}else t=t.substring(n.raw.length),e.push(n);return e}}class L{constructor(t){this.options=t||e}code(t,e,n){const i=(e||"").match(/\S*/)[0];if(this.options.highlight){const e=this.options.highlight(t,i);null!=e&&e!==t&&(n=!0,t=e)}return t=t.replace(/\n$/,"")+"\n",i?'<pre><code class="'+this.options.langPrefix+l(i)+'">'+(n?t:l(t,!0))+"</code></pre>\n":"<pre><code>"+(n?t:l(t,!0))+"</code></pre>\n"}blockquote(t){return`<blockquote>\n${t}</blockquote>\n`}html(t){return t}heading(t,e,n,i){if(this.options.headerIds){return`<h${e} id="${this.options.headerPrefix+i.slug(n)}">${t}</h${e}>\n`}return`<h${e}>${t}</h${e}>\n`}hr(){return this.options.xhtml?"<hr/>\n":"<hr>\n"}list(t,e,n){const i=e?"ol":"ul";return"<"+i+(e&&1!==n?' start="'+n+'"':"")+">\n"+t+"</"+i+">\n"}listitem(t){return`<li>${t}</li>\n`}checkbox(t){return"<input "+(t?'checked="" ':"")+'disabled="" type="checkbox"'+(this.options.xhtml?" /":"")+"> "}paragraph(t){return`<p>${t}</p>\n`}table(t,e){return e&&(e=`<tbody>${e}</tbody>`),"<table>\n<thead>\n"+t+"</thead>\n"+e+"</table>\n"}tablerow(t){return`<tr>\n${t}</tr>\n`}tablecell(t,e){const n=e.header?"th":"td";return(e.align?`<${n} align="${e.align}">`:`<${n}>`)+t+`</${n}>\n`}strong(t){return`<strong>${t}</strong>`}em(t){return`<em>${t}</em>`}codespan(t){return`<code>${t}</code>`}br(){return this.options.xhtml?"<br/>":"<br>"}del(t){return`<del>${t}</del>`}link(t,e,n){if(null===(t=m(this.options.sanitize,this.options.baseUrl,t)))return n;let i='<a href="'+t+'"';return e&&(i+=' title="'+e+'"'),i+=">"+n+"</a>",i}image(t,e,n){if(null===(t=m(this.options.sanitize,this.options.baseUrl,t)))return n;let i=`<img src="${t}" alt="${n}"`;return e&&(i+=` title="${e}"`),i+=this.options.xhtml?"/>":">",i}text(t){return t}}class I{strong(t){return t}em(t){return t}codespan(t){return t}del(t){return t}html(t){return t}text(t){return t}link(t,e,n){return""+n}image(t,e,n){return""+n}br(){return""}}class M{constructor(){this.seen={}}serialize(t){return t.toLowerCase().trim().replace(/<[!\/a-z].*?>/gi,"").replace(/[\u2000-\u206F\u2E00-\u2E7F\\'!"#$%&()*+,./:;<=>?@[\]^`{|}~]/g,"").replace(/\s/g,"-")}getNextSafeSlug(t,e){let n=t,i=0;if(this.seen.hasOwnProperty(n)){i=this.seen[t];do{i++,n=t+"-"+i}while(this.seen.hasOwnProperty(n))}return e||(this.seen[t]=i,this.seen[n]=0),n}slug(t,e={}){const n=this.serialize(t);return this.getNextSafeSlug(n,e.dryrun)}}class C{constructor(t){this.options=t||e,this.options.renderer=this.options.renderer||new L,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new I,this.slugger=new M}static parse(t,e){return new C(e).parse(t)}static parseInline(t,e){return new C(e).parseInline(t)}parse(t,e=!0){let n,i,s,r,a,o,l,c,u,d,h,g,m,f,k,w,x,b,y,v="";const S=t.length;for(n=0;n<S;n++)if(d=t[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[d.type]&&(y=this.options.extensions.renderers[d.type].call({parser:this},d),!1!==y||!["space","hr","heading","code","table","blockquote","list","html","paragraph","text"].includes(d.type)))v+=y||"";else switch(d.type){case"space":continue;case"hr":v+=this.renderer.hr();continue;case"heading":v+=this.renderer.heading(this.parseInline(d.tokens),d.depth,p(this.parseInline(d.tokens,this.textRenderer)),this.slugger);continue;case"code":v+=this.renderer.code(d.text,d.lang,d.escaped);continue;case"table":for(c="",l="",r=d.header.length,i=0;i<r;i++)l+=this.renderer.tablecell(this.parseInline(d.header[i].tokens),{header:!0,align:d.align[i]});for(c+=this.renderer.tablerow(l),u="",r=d.rows.length,i=0;i<r;i++){for(o=d.rows[i],l="",a=o.length,s=0;s<a;s++)l+=this.renderer.tablecell(this.parseInline(o[s].tokens),{header:!1,align:d.align[s]});u+=this.renderer.tablerow(l)}v+=this.renderer.table(c,u);continue;case"blockquote":u=this.parse(d.tokens),v+=this.renderer.blockquote(u);continue;case"list":for(h=d.ordered,g=d.start,m=d.loose,r=d.items.length,u="",i=0;i<r;i++)k=d.items[i],w=k.checked,x=k.task,f="",k.task&&(b=this.renderer.checkbox(w),m?k.tokens.length>0&&"paragraph"===k.tokens[0].type?(k.tokens[0].text=b+" "+k.tokens[0].text,k.tokens[0].tokens&&k.tokens[0].tokens.length>0&&"text"===k.tokens[0].tokens[0].type&&(k.tokens[0].tokens[0].text=b+" "+k.tokens[0].tokens[0].text)):k.tokens.unshift({type:"text",text:b}):f+=b),f+=this.parse(k.tokens,m),u+=this.renderer.listitem(f,x,w);v+=this.renderer.list(u,h,g);continue;case"html":v+=this.renderer.html(d.text);continue;case"paragraph":v+=this.renderer.paragraph(this.parseInline(d.tokens));continue;case"text":for(u=d.tokens?this.parseInline(d.tokens):d.text;n+1<S&&"text"===t[n+1].type;)d=t[++n],u+="\n"+(d.tokens?this.parseInline(d.tokens):d.text);v+=e?this.renderer.paragraph(u):u;continue;default:{const t='Token with "'+d.type+'" type was not found.';if(this.options.silent)return void console.error(t);throw new Error(t)}}return v}parseInline(t,e){e=e||this.renderer;let n,i,s,r="";const a=t.length;for(n=0;n<a;n++)if(i=t[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[i.type]&&(s=this.options.extensions.renderers[i.type].call({parser:this},i),!1!==s||!["escape","html","link","image","strong","em","codespan","br","del","text"].includes(i.type)))r+=s||"";else switch(i.type){case"escape":case"text":r+=e.text(i.text);break;case"html":r+=e.html(i.text);break;case"link":r+=e.link(i.href,i.title,this.parseInline(i.tokens,e));break;case"image":r+=e.image(i.href,i.title,i.text);break;case"strong":r+=e.strong(this.parseInline(i.tokens,e));break;case"em":r+=e.em(this.parseInline(i.tokens,e));break;case"codespan":r+=e.codespan(i.text);break;case"br":r+=e.br();break;case"del":r+=e.del(this.parseInline(i.tokens,e));break;default:{const t='Token with "'+i.type+'" type was not found.';if(this.options.silent)return void console.error(t);throw new Error(t)}}return r}}class q{constructor(t){this.options=t||e}static passThroughHooks=new 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n},O.parseInline=P(R.lexInline,C.parseInline),O.Parser=C,O.parser=C.parse,O.Renderer=L,O.TextRenderer=I,O.Lexer=R,O.lexer=R.lex,O.Tokenizer=_,O.Slugger=M,O.Hooks=q,O.parse=O,O.options,O.setOptions,O.use,O.walkTokens,O.parseInline,C.parse,R.lex;const N=()=>{let t,e,n=null;function i(){if(n&&!n.closed)n.focus();else{if(n=window.open("about:blank","reveal.js - Notes","width=1100,height=700"),n.marked=O,n.document.write("\x3c!--\n\tNOTE: You need to build the notes plugin after making changes to this file.\n--\x3e\n<html lang=\"en\">\n\t<head>\n\t\t<meta charset=\"utf-8\">\n\n\t\t<title>reveal.js - Speaker View</title>\n\n\t\t<style>\n\t\t\tbody {\n\t\t\t\tfont-family: Helvetica;\n\t\t\t\tfont-size: 18px;\n\t\t\t}\n\n\t\t\t#current-slide,\n\t\t\t#upcoming-slide,\n\t\t\t#speaker-controls {\n\t\t\t\tpadding: 6px;\n\t\t\t\tbox-sizing: border-box;\n\t\t\t\t-moz-box-sizing: border-box;\n\t\t\t}\n\n\t\t\t#current-slide iframe,\n\t\t\t#upcoming-slide iframe {\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 100%;\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t}\n\n\t\t\t#current-slide .label,\n\t\t\t#upcoming-slide .label {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 10px;\n\t\t\t\tleft: 10px;\n\t\t\t\tz-index: 2;\n\t\t\t}\n\n\t\t\t#connection-status {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 100%;\n\t\t\t\tz-index: 20;\n\t\t\t\tpadding: 30% 20% 20% 20%;\n\t\t\t\tfont-size: 18px;\n\t\t\t\tcolor: #222;\n\t\t\t\tbackground: #fff;\n\t\t\t\ttext-align: center;\n\t\t\t\tbox-sizing: border-box;\n\t\t\t\tline-height: 1.4;\n\t\t\t}\n\n\t\t\t.overlay-element {\n\t\t\t\theight: 34px;\n\t\t\t\tline-height: 34px;\n\t\t\t\tpadding: 0 10px;\n\t\t\t\ttext-shadow: none;\n\t\t\t\tbackground: rgba( 220, 220, 220, 0.8 );\n\t\t\t\tcolor: #222;\n\t\t\t\tfont-size: 14px;\n\t\t\t}\n\n\t\t\t.overlay-element.interactive:hover {\n\t\t\t\tbackground: rgba( 220, 220, 220, 1 );\n\t\t\t}\n\n\t\t\t#current-slide {\n\t\t\t\tposition: absolute;\n\t\t\t\twidth: 60%;\n\t\t\t\theight: 100%;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\tpadding-right: 0;\n\t\t\t}\n\n\t\t\t#upcoming-slide {\n\t\t\t\tposition: absolute;\n\t\t\t\twidth: 40%;\n\t\t\t\theight: 40%;\n\t\t\t\tright: 0;\n\t\t\t\ttop: 0;\n\t\t\t}\n\n\t\t\t/* Speaker controls */\n\t\t\t#speaker-controls {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 40%;\n\t\t\t\tright: 0;\n\t\t\t\twidth: 40%;\n\t\t\t\theight: 60%;\n\t\t\t\toverflow: auto;\n\t\t\t\tfont-size: 18px;\n\t\t\t}\n\n\t\t\t\t.speaker-controls-time.hidden,\n\t\t\t\t.speaker-controls-notes.hidden {\n\t\t\t\t\tdisplay: none;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .label,\n\t\t\t\t.speaker-controls-pace .label,\n\t\t\t\t.speaker-controls-notes .label {\n\t\t\t\t\ttext-transform: uppercase;\n\t\t\t\t\tfont-weight: normal;\n\t\t\t\t\tfont-size: 0.66em;\n\t\t\t\t\tcolor: #666;\n\t\t\t\t\tmargin: 0;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time, .speaker-controls-pace {\n\t\t\t\t\tborder-bottom: 1px solid rgba( 200, 200, 200, 0.5 );\n\t\t\t\t\tmargin-bottom: 10px;\n\t\t\t\t\tpadding: 10px 16px;\n\t\t\t\t\tpadding-bottom: 20px;\n\t\t\t\t\tcursor: pointer;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .reset-button {\n\t\t\t\t\topacity: 0;\n\t\t\t\t\tfloat: right;\n\t\t\t\t\tcolor: #666;\n\t\t\t\t\ttext-decoration: none;\n\t\t\t\t}\n\t\t\t\t.speaker-controls-time:hover .reset-button {\n\t\t\t\t\topacity: 1;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer,\n\t\t\t\t.speaker-controls-time .clock {\n\t\t\t\t\twidth: 50%;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer,\n\t\t\t\t.speaker-controls-time .clock,\n\t\t\t\t.speaker-controls-time .pacing .hours-value,\n\t\t\t\t.speaker-controls-time .pacing .minutes-value,\n\t\t\t\t.speaker-controls-time .pacing .seconds-value {\n\t\t\t\t\tfont-size: 1.9em;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer {\n\t\t\t\t\tfloat: left;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .clock {\n\t\t\t\t\tfloat: right;\n\t\t\t\t\ttext-align: right;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time span.mute {\n\t\t\t\t\topacity: 0.3;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing-title {\n\t\t\t\t\tmargin-top: 5px;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.ahead {\n\t\t\t\t\tcolor: blue;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.on-track {\n\t\t\t\t\tcolor: green;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.behind {\n\t\t\t\t\tcolor: red;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-notes {\n\t\t\t\t\tpadding: 10px 16px;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-notes .value {\n\t\t\t\t\tmargin-top: 5px;\n\t\t\t\t\tline-height: 1.4;\n\t\t\t\t\tfont-size: 1.2em;\n\t\t\t\t}\n\n\t\t\t/* Layout selector */\n\t\t\t#speaker-layout {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 10px;\n\t\t\t\tright: 10px;\n\t\t\t\tcolor: #222;\n\t\t\t\tz-index: 10;\n\t\t\t}\n\t\t\t\t#speaker-layout select {\n\t\t\t\t\tposition: absolute;\n\t\t\t\t\twidth: 100%;\n\t\t\t\t\theight: 100%;\n\t\t\t\t\ttop: 0;\n\t\t\t\t\tleft: 0;\n\t\t\t\t\tborder: 0;\n\t\t\t\t\tbox-shadow: 0;\n\t\t\t\t\tcursor: pointer;\n\t\t\t\t\topacity: 0;\n\n\t\t\t\t\tfont-size: 1em;\n\t\t\t\t\tbackground-color: transparent;\n\n\t\t\t\t\t-moz-appearance: none;\n\t\t\t\t\t-webkit-appearance: none;\n\t\t\t\t\t-webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n\t\t\t\t}\n\n\t\t\t\t#speaker-layout select:focus {\n\t\t\t\t\toutline: none;\n\t\t\t\t\tbox-shadow: none;\n\t\t\t\t}\n\n\t\t\t.clear {\n\t\t\t\tclear: both;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Wide */\n\t\t\tbody[data-speaker-layout=\"wide\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"wide\"] #upcoming-slide {\n\t\t\t\twidth: 50%;\n\t\t\t\theight: 45%;\n\t\t\t\tpadding: 6px;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #current-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #upcoming-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 50%;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #speaker-controls {\n\t\t\t\ttop: 45%;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 50%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Tall */\n\t\t\tbody[data-speaker-layout=\"tall\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"tall\"] #upcoming-slide {\n\t\t\t\twidth: 45%;\n\t\t\t\theight: 50%;\n\t\t\t\tpadding: 6px;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #current-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #upcoming-slide {\n\t\t\t\ttop: 50%;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #speaker-controls {\n\t\t\t\tpadding-top: 40px;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 45%;\n\t\t\t\twidth: 55%;\n\t\t\t\theight: 100%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Notes only */\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #upcoming-slide {\n\t\t\t\tdisplay: none;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #speaker-controls {\n\t\t\t\tpadding-top: 40px;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 100%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 1080px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 16px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 900px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 14px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 800px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 12px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t</style>\n\t</head>\n\n\t<body>\n\n\t\t<div id=\"connection-status\">Loading speaker view...</div>\n\n\t\t<div id=\"current-slide\"></div>\n\t\t<div id=\"upcoming-slide\"><span class=\"overlay-element label\">Upcoming</span></div>\n\t\t<div id=\"speaker-controls\">\n\t\t\t<div class=\"speaker-controls-time\">\n\t\t\t\t<h4 class=\"label\">Time <span class=\"reset-button\">Click to Reset</span></h4>\n\t\t\t\t<div class=\"clock\">\n\t\t\t\t\t<span class=\"clock-value\">0:00 AM</span>\n\t\t\t\t</div>\n\t\t\t\t<div class=\"timer\">\n\t\t\t\t\t<span class=\"hours-value\">00</span><span class=\"minutes-value\">:00</span><span class=\"seconds-value\">:00</span>\n\t\t\t\t</div>\n\t\t\t\t<div class=\"clear\"></div>\n\n\t\t\t\t<h4 class=\"label pacing-title\" style=\"display: none\">Pacing – Time to finish current slide</h4>\n\t\t\t\t<div class=\"pacing\" style=\"display: none\">\n\t\t\t\t\t<span class=\"hours-value\">00</span><span class=\"minutes-value\">:00</span><span class=\"seconds-value\">:00</span>\n\t\t\t\t</div>\n\t\t\t</div>\n\n\t\t\t<div class=\"speaker-controls-notes hidden\">\n\t\t\t\t<h4 class=\"label\">Notes</h4>\n\t\t\t\t<div class=\"value\"></div>\n\t\t\t</div>\n\t\t</div>\n\t\t<div id=\"speaker-layout\" class=\"overlay-element interactive\">\n\t\t\t<span class=\"speaker-layout-label\"></span>\n\t\t\t<select class=\"speaker-layout-dropdown\"></select>\n\t\t</div>\n\n\t\t<script>\n\n\t\t\t(function() {\n\n\t\t\t\tvar notes,\n\t\t\t\t\tnotesValue,\n\t\t\t\t\tcurrentState,\n\t\t\t\t\tcurrentSlide,\n\t\t\t\t\tupcomingSlide,\n\t\t\t\t\tlayoutLabel,\n\t\t\t\t\tlayoutDropdown,\n\t\t\t\t\tpendingCalls = {},\n\t\t\t\t\tlastRevealApiCallId = 0,\n\t\t\t\t\tconnected = false\n\n\t\t\t\tvar connectionStatus = document.querySelector( '#connection-status' );\n\n\t\t\t\tvar SPEAKER_LAYOUTS = {\n\t\t\t\t\t'default': 'Default',\n\t\t\t\t\t'wide': 'Wide',\n\t\t\t\t\t'tall': 'Tall',\n\t\t\t\t\t'notes-only': 'Notes only'\n\t\t\t\t};\n\n\t\t\t\tsetupLayout();\n\n\t\t\t\tlet openerOrigin;\n\n\t\t\t\ttry {\n\t\t\t\t\topenerOrigin = window.opener.location.origin;\n\t\t\t\t}\n\t\t\t\tcatch ( error ) { console.warn( error ) }\n\n\t\t\t\t// In order to prevent XSS, the speaker view will only run if its\n\t\t\t\t// opener has the same origin as itself\n\t\t\t\tif( window.location.origin !== openerOrigin ) {\n\t\t\t\t\tconnectionStatus.innerHTML = 'Cross origin error.<br>The speaker window can only be opened from the same origin.';\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\tvar connectionTimeout = setTimeout( function() {\n\t\t\t\t\tconnectionStatus.innerHTML = 'Error connecting to main window.<br>Please try closing and reopening the speaker view.';\n\t\t\t\t}, 5000 );\n\n\t\t\t\twindow.addEventListener( 'message', function( event ) {\n\n\t\t\t\t\t// Validate the origin of all messages to avoid parsing messages\n\t\t\t\t\t// that aren't meant for us. Ignore when running off file:// so\n\t\t\t\t\t// that the speaker view continues to work without a web server.\n\t\t\t\t\tif( window.location.origin !== event.origin && window.location.origin !== 'file://' ) {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\n\t\t\t\t\tclearTimeout( connectionTimeout );\n\t\t\t\t\tconnectionStatus.style.display = 'none';\n\n\t\t\t\t\tvar data = JSON.parse( event.data );\n\n\t\t\t\t\t// The overview mode is only useful to the reveal.js instance\n\t\t\t\t\t// where navigation occurs so we don't sync it\n\t\t\t\t\tif( data.state ) delete data.state.overview;\n\n\t\t\t\t\t// Messages sent by the notes plugin inside of the main window\n\t\t\t\t\tif( data && data.namespace === 'reveal-notes' ) {\n\t\t\t\t\t\tif( data.type === 'connect' ) {\n\t\t\t\t\t\t\thandleConnectMessage( data );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( data.type === 'state' ) {\n\t\t\t\t\t\t\thandleStateMessage( data );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( data.type === 'return' ) {\n\t\t\t\t\t\t\tpendingCalls[data.callId](data.result);\n\t\t\t\t\t\t\tdelete pendingCalls[data.callId];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\t// Messages sent by the reveal.js inside of the current slide preview\n\t\t\t\t\telse if( data && data.namespace === 'reveal' ) {\n\t\t\t\t\t\tif( /ready/.test( data.eventName ) ) {\n\t\t\t\t\t\t\t// Send a message back to notify that the handshake is complete\n\t\t\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'connected'} ), '*' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( /slidechanged|fragmentshown|fragmenthidden|paused|resumed/.test( data.eventName ) && currentState !== JSON.stringify( data.state ) ) {\n\n\t\t\t\t\t\t\tdispatchStateToMainWindow( data.state );\n\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\t/**\n\t\t\t\t * Updates the presentation in the main window to match the state\n\t\t\t\t * of the presentation in the notes window.\n\t\t\t\t */\n\t\t\t\tconst dispatchStateToMainWindow = debounce(( state ) => {\n\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ method: 'setState', args: [ state ]} ), '*' );\n\t\t\t\t}, 500);\n\n\t\t\t\t/**\n\t\t\t\t * Asynchronously calls the Reveal.js API of the main frame.\n\t\t\t\t */\n\t\t\t\tfunction callRevealApi( methodName, methodArguments, callback ) {\n\n\t\t\t\t\tvar callId = ++lastRevealApiCallId;\n\t\t\t\t\tpendingCalls[callId] = callback;\n\t\t\t\t\twindow.opener.postMessage( JSON.stringify( {\n\t\t\t\t\t\tnamespace: 'reveal-notes',\n\t\t\t\t\t\ttype: 'call',\n\t\t\t\t\t\tcallId: callId,\n\t\t\t\t\t\tmethodName: methodName,\n\t\t\t\t\t\targuments: methodArguments\n\t\t\t\t\t} ), '*' );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Called when the main window is trying to establish a\n\t\t\t\t * connection.\n\t\t\t\t */\n\t\t\t\tfunction handleConnectMessage( data ) {\n\n\t\t\t\t\tif( connected === false ) {\n\t\t\t\t\t\tconnected = true;\n\n\t\t\t\t\t\tsetupIframes( data );\n\t\t\t\t\t\tsetupKeyboard();\n\t\t\t\t\t\tsetupNotes();\n\t\t\t\t\t\tsetupTimer();\n\t\t\t\t\t\tsetupHeartbeat();\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Called when the main window sends an updated state.\n\t\t\t\t */\n\t\t\t\tfunction handleStateMessage( data ) {\n\n\t\t\t\t\t// Store the most recently set state to avoid circular loops\n\t\t\t\t\t// applying the same state\n\t\t\t\t\tcurrentState = JSON.stringify( data.state );\n\n\t\t\t\t\t// No need for updating the notes in case of fragment changes\n\t\t\t\t\tif ( data.notes ) {\n\t\t\t\t\t\tnotes.classList.remove( 'hidden' );\n\t\t\t\t\t\tnotesValue.style.whiteSpace = data.whitespace;\n\t\t\t\t\t\tif( data.markdown ) {\n\t\t\t\t\t\t\tnotesValue.innerHTML = marked( data.notes );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tnotesValue.innerHTML = data.notes;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tnotes.classList.add( 'hidden' );\n\t\t\t\t\t}\n\n\t\t\t\t\t// Update the note slides\n\t\t\t\t\tcurrentSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );\n\t\t\t\t\tupcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );\n\t\t\t\t\tupcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'next' }), '*' );\n\n\t\t\t\t}\n\n\t\t\t\t// Limit to max one state update per X ms\n\t\t\t\thandleStateMessage = debounce( handleStateMessage, 200 );\n\n\t\t\t\t/**\n\t\t\t\t * Forward keyboard events to the current slide window.\n\t\t\t\t * This enables keyboard events to work even if focus\n\t\t\t\t * isn't set on the current slide iframe.\n\t\t\t\t *\n\t\t\t\t * Block F5 default handling, it reloads and disconnects\n\t\t\t\t * the speaker notes window.\n\t\t\t\t */\n\t\t\t\tfunction setupKeyboard() {\n\n\t\t\t\t\tdocument.addEventListener( 'keydown', function( event ) {\n\t\t\t\t\t\tif( event.keyCode === 116 || ( event.metaKey && event.keyCode === 82 ) ) {\n\t\t\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\t\t\treturn false;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcurrentSlide.contentWindow.postMessage( JSON.stringify({ method: 'triggerKey', args: [ event.keyCode ] }), '*' );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Creates the preview iframes.\n\t\t\t\t */\n\t\t\t\tfunction setupIframes( data ) {\n\n\t\t\t\t\tvar params = [\n\t\t\t\t\t\t'receiver',\n\t\t\t\t\t\t'progress=false',\n\t\t\t\t\t\t'history=false',\n\t\t\t\t\t\t'transition=none',\n\t\t\t\t\t\t'autoSlide=0',\n\t\t\t\t\t\t'backgroundTransition=none'\n\t\t\t\t\t].join( '&' );\n\n\t\t\t\t\tvar urlSeparator = /\\?/.test(data.url) ? '&' : '?';\n\t\t\t\t\tvar hash = '#/' + data.state.indexh + '/' + data.state.indexv;\n\t\t\t\t\tvar currentURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&postMessageEvents=true' + hash;\n\t\t\t\t\tvar upcomingURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&controls=false' + hash;\n\n\t\t\t\t\tcurrentSlide = document.createElement( 'iframe' );\n\t\t\t\t\tcurrentSlide.setAttribute( 'width', 1280 );\n\t\t\t\t\tcurrentSlide.setAttribute( 'height', 1024 );\n\t\t\t\t\tcurrentSlide.setAttribute( 'src', currentURL );\n\t\t\t\t\tdocument.querySelector( '#current-slide' ).appendChild( currentSlide );\n\n\t\t\t\t\tupcomingSlide = document.createElement( 'iframe' );\n\t\t\t\t\tupcomingSlide.setAttribute( 'width', 640 );\n\t\t\t\t\tupcomingSlide.setAttribute( 'height', 512 );\n\t\t\t\t\tupcomingSlide.setAttribute( 'src', upcomingURL );\n\t\t\t\t\tdocument.querySelector( '#upcoming-slide' ).appendChild( upcomingSlide );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Setup the notes UI.\n\t\t\t\t */\n\t\t\t\tfunction setupNotes() {\n\n\t\t\t\t\tnotes = document.querySelector( '.speaker-controls-notes' );\n\t\t\t\t\tnotesValue = document.querySelector( '.speaker-controls-notes .value' );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * We send out a heartbeat at all times to ensure we can\n\t\t\t\t * reconnect with the main presentation window after reloads.\n\t\t\t\t */\n\t\t\t\tfunction setupHeartbeat() {\n\n\t\t\t\t\tsetInterval( () => {\n\t\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'heartbeat'} ), '*' );\n\t\t\t\t\t}, 1000 );\n\n\t\t\t\t}\n\n\t\t\t\tfunction getTimings( callback ) {\n\n\t\t\t\t\tcallRevealApi( 'getSlidesAttributes', [], function ( slideAttributes ) {\n\t\t\t\t\t\tcallRevealApi( 'getConfig', [], function ( config ) {\n\t\t\t\t\t\t\tvar totalTime = config.totalTime;\n\t\t\t\t\t\t\tvar minTimePerSlide = config.minimumTimePerSlide || 0;\n\t\t\t\t\t\t\tvar defaultTiming = config.defaultTiming;\n\t\t\t\t\t\t\tif ((defaultTiming == null) && (totalTime == null)) {\n\t\t\t\t\t\t\t\tcallback(null);\n\t\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t// Setting totalTime overrides defaultTiming\n\t\t\t\t\t\t\tif (totalTime) {\n\t\t\t\t\t\t\t\tdefaultTiming = 0;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tvar timings = [];\n\t\t\t\t\t\t\tfor ( var i in slideAttributes ) {\n\t\t\t\t\t\t\t\tvar slide = slideAttributes[ i ];\n\t\t\t\t\t\t\t\tvar timing = defaultTiming;\n\t\t\t\t\t\t\t\tif( slide.hasOwnProperty( 'data-timing' )) {\n\t\t\t\t\t\t\t\t\tvar t = slide[ 'data-timing' ];\n\t\t\t\t\t\t\t\t\ttiming = parseInt(t);\n\t\t\t\t\t\t\t\t\tif( isNaN(timing) ) {\n\t\t\t\t\t\t\t\t\t\tconsole.warn(\"Could not parse timing '\" + t + \"' of slide \" + i + \"; using default of \" + defaultTiming);\n\t\t\t\t\t\t\t\t\t\ttiming = defaultTiming;\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\ttimings.push(timing);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif ( totalTime ) {\n\t\t\t\t\t\t\t\t// After we've allocated time to individual slides, we summarize it and\n\t\t\t\t\t\t\t\t// subtract it from the total time\n\t\t\t\t\t\t\t\tvar remainingTime = totalTime - timings.reduce( function(a, b) { return a + b; }, 0 );\n\t\t\t\t\t\t\t\t// The remaining time is divided by the number of slides that have 0 seconds\n\t\t\t\t\t\t\t\t// allocated at the moment, giving the average time-per-slide on the remaining slides\n\t\t\t\t\t\t\t\tvar remainingSlides = (timings.filter( function(x) { return x == 0 }) ).length\n\t\t\t\t\t\t\t\tvar timePerSlide = Math.round( remainingTime / remainingSlides, 0 )\n\t\t\t\t\t\t\t\t// And now we replace every zero-value timing with that average\n\t\t\t\t\t\t\t\ttimings = timings.map( function(x) { return (x==0 ? timePerSlide : x) } );\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tvar slidesUnderMinimum = timings.filter( function(x) { return (x < minTimePerSlide) } ).length\n\t\t\t\t\t\t\tif ( slidesUnderMinimum ) {\n\t\t\t\t\t\t\t\tmessage = \"The pacing time for \" + slidesUnderMinimum + \" slide(s) is under the configured minimum of \" + minTimePerSlide + \" seconds. Check the data-timing attribute on individual slides, or consider increasing the totalTime or minimumTimePerSlide configuration options (or removing some slides).\";\n\t\t\t\t\t\t\t\talert(message);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tcallback( timings );\n\t\t\t\t\t\t} );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Return the number of seconds allocated for presenting\n\t\t\t\t * all slides up to and including this one.\n\t\t\t\t */\n\t\t\t\tfunction getTimeAllocated( timings, callback ) {\n\n\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\tvar allocated = 0;\n\t\t\t\t\t\tfor (var i in timings.slice(0, currentSlide + 1)) {\n\t\t\t\t\t\t\tallocated += timings[i];\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcallback( allocated );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Create the timer and clock and start updating them\n\t\t\t\t * at an interval.\n\t\t\t\t */\n\t\t\t\tfunction setupTimer() {\n\n\t\t\t\t\tvar start = new Date(),\n\t\t\t\t\ttimeEl = document.querySelector( '.speaker-controls-time' ),\n\t\t\t\t\tclockEl = timeEl.querySelector( '.clock-value' ),\n\t\t\t\t\thoursEl = timeEl.querySelector( '.hours-value' ),\n\t\t\t\t\tminutesEl = timeEl.querySelector( '.minutes-value' ),\n\t\t\t\t\tsecondsEl = timeEl.querySelector( '.seconds-value' ),\n\t\t\t\t\tpacingTitleEl = timeEl.querySelector( '.pacing-title' ),\n\t\t\t\t\tpacingEl = timeEl.querySelector( '.pacing' ),\n\t\t\t\t\tpacingHoursEl = pacingEl.querySelector( '.hours-value' ),\n\t\t\t\t\tpacingMinutesEl = pacingEl.querySelector( '.minutes-value' ),\n\t\t\t\t\tpacingSecondsEl = pacingEl.querySelector( '.seconds-value' );\n\n\t\t\t\t\tvar timings = null;\n\t\t\t\t\tgetTimings( function ( _timings ) {\n\n\t\t\t\t\t\ttimings = _timings;\n\t\t\t\t\t\tif (_timings !== null) {\n\t\t\t\t\t\t\tpacingTitleEl.style.removeProperty('display');\n\t\t\t\t\t\t\tpacingEl.style.removeProperty('display');\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Update once directly\n\t\t\t\t\t\t_updateTimer();\n\n\t\t\t\t\t\t// Then update every second\n\t\t\t\t\t\tsetInterval( _updateTimer, 1000 );\n\n\t\t\t\t\t} );\n\n\n\t\t\t\t\tfunction _resetTimer() {\n\n\t\t\t\t\t\tif (timings == null) {\n\t\t\t\t\t\t\tstart = new Date();\n\t\t\t\t\t\t\t_updateTimer();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t// Reset timer to beginning of current slide\n\t\t\t\t\t\t\tgetTimeAllocated( timings, function ( slideEndTimingSeconds ) {\n\t\t\t\t\t\t\t\tvar slideEndTiming = slideEndTimingSeconds * 1000;\n\t\t\t\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\t\t\t\tvar currentSlideTiming = timings[currentSlide] * 1000;\n\t\t\t\t\t\t\t\t\tvar previousSlidesTiming = slideEndTiming - currentSlideTiming;\n\t\t\t\t\t\t\t\t\tvar now = new Date();\n\t\t\t\t\t\t\t\t\tstart = new Date(now.getTime() - previousSlidesTiming);\n\t\t\t\t\t\t\t\t\t_updateTimer();\n\t\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttimeEl.addEventListener( 'click', function() {\n\t\t\t\t\t\t_resetTimer();\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t} );\n\n\t\t\t\t\tfunction _displayTime( hrEl, minEl, secEl, time) {\n\n\t\t\t\t\t\tvar sign = Math.sign(time) == -1 ? \"-\" : \"\";\n\t\t\t\t\t\ttime = Math.abs(Math.round(time / 1000));\n\t\t\t\t\t\tvar seconds = time % 60;\n\t\t\t\t\t\tvar minutes = Math.floor( time / 60 ) % 60 ;\n\t\t\t\t\t\tvar hours = Math.floor( time / ( 60 * 60 )) ;\n\t\t\t\t\t\thrEl.innerHTML = sign + zeroPadInteger( hours );\n\t\t\t\t\t\tif (hours == 0) {\n\t\t\t\t\t\t\thrEl.classList.add( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\thrEl.classList.remove( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\tminEl.innerHTML = ':' + zeroPadInteger( minutes );\n\t\t\t\t\t\tif (hours == 0 && minutes == 0) {\n\t\t\t\t\t\t\tminEl.classList.add( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tminEl.classList.remove( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsecEl.innerHTML = ':' + zeroPadInteger( seconds );\n\t\t\t\t\t}\n\n\t\t\t\t\tfunction _updateTimer() {\n\n\t\t\t\t\t\tvar diff, hours, minutes, seconds,\n\t\t\t\t\t\tnow = new Date();\n\n\t\t\t\t\t\tdiff = now.getTime() - start.getTime();\n\n\t\t\t\t\t\tclockEl.innerHTML = now.toLocaleTimeString( 'en-US', { hour12: true, hour: '2-digit', minute:'2-digit' } );\n\t\t\t\t\t\t_displayTime( hoursEl, minutesEl, secondsEl, diff );\n\t\t\t\t\t\tif (timings !== null) {\n\t\t\t\t\t\t\t_updatePacing(diff);\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfunction _updatePacing(diff) {\n\n\t\t\t\t\t\tgetTimeAllocated( timings, function ( slideEndTimingSeconds ) {\n\t\t\t\t\t\t\tvar slideEndTiming = slideEndTimingSeconds * 1000;\n\n\t\t\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\t\t\tvar currentSlideTiming = timings[currentSlide] * 1000;\n\t\t\t\t\t\t\t\tvar timeLeftCurrentSlide = slideEndTiming - diff;\n\t\t\t\t\t\t\t\tif (timeLeftCurrentSlide < 0) {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing behind';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse if (timeLeftCurrentSlide < currentSlideTiming) {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing on-track';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing ahead';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t_displayTime( pacingHoursEl, pacingMinutesEl, pacingSecondsEl, timeLeftCurrentSlide );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t} );\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Sets up the speaker view layout and layout selector.\n\t\t\t\t */\n\t\t\t\tfunction setupLayout() {\n\n\t\t\t\t\tlayoutDropdown = document.querySelector( '.speaker-layout-dropdown' );\n\t\t\t\t\tlayoutLabel = document.querySelector( '.speaker-layout-label' );\n\n\t\t\t\t\t// Render the list of available layouts\n\t\t\t\t\tfor( var id in SPEAKER_LAYOUTS ) {\n\t\t\t\t\t\tvar option = document.createElement( 'option' );\n\t\t\t\t\t\toption.setAttribute( 'value', id );\n\t\t\t\t\t\toption.textContent = SPEAKER_LAYOUTS[ id ];\n\t\t\t\t\t\tlayoutDropdown.appendChild( option );\n\t\t\t\t\t}\n\n\t\t\t\t\t// Monitor the dropdown for changes\n\t\t\t\t\tlayoutDropdown.addEventListener( 'change', function( event ) {\n\n\t\t\t\t\t\tsetLayout( layoutDropdown.value );\n\n\t\t\t\t\t}, false );\n\n\t\t\t\t\t// Restore any currently persisted layout\n\t\t\t\t\tsetLayout( getLayout() );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Sets a new speaker view layout. The layout is persisted\n\t\t\t\t * in local storage.\n\t\t\t\t */\n\t\t\t\tfunction setLayout( value ) {\n\n\t\t\t\t\tvar title = SPEAKER_LAYOUTS[ value ];\n\n\t\t\t\t\tlayoutLabel.innerHTML = 'Layout' + ( title ? ( ': ' + title ) : '' );\n\t\t\t\t\tlayoutDropdown.value = value;\n\n\t\t\t\t\tdocument.body.setAttribute( 'data-speaker-layout', value );\n\n\t\t\t\t\t// Persist locally\n\t\t\t\t\tif( supportsLocalStorage() ) {\n\t\t\t\t\t\twindow.localStorage.setItem( 'reveal-speaker-layout', value );\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Returns the ID of the most recently set speaker layout\n\t\t\t\t * or our default layout if none has been set.\n\t\t\t\t */\n\t\t\t\tfunction getLayout() {\n\n\t\t\t\t\tif( supportsLocalStorage() ) {\n\t\t\t\t\t\tvar layout = window.localStorage.getItem( 'reveal-speaker-layout' );\n\t\t\t\t\t\tif( layout ) {\n\t\t\t\t\t\t\treturn layout;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// Default to the first record in the layouts hash\n\t\t\t\t\tfor( var id in SPEAKER_LAYOUTS ) {\n\t\t\t\t\t\treturn id;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tfunction supportsLocalStorage() {\n\n\t\t\t\t\ttry {\n\t\t\t\t\t\tlocalStorage.setItem('test', 'test');\n\t\t\t\t\t\tlocalStorage.removeItem('test');\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t\tcatch( e ) {\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tfunction zeroPadInteger( num ) {\n\n\t\t\t\t\tvar str = '00' + parseInt( num );\n\t\t\t\t\treturn str.substring( str.length - 2 );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Limits the frequency at which a function can be called.\n\t\t\t\t */\n\t\t\t\tfunction debounce( fn, ms ) {\n\n\t\t\t\t\tvar lastTime = 0,\n\t\t\t\t\t\ttimeout;\n\n\t\t\t\t\treturn function() {\n\n\t\t\t\t\t\tvar args = arguments;\n\t\t\t\t\t\tvar context = this;\n\n\t\t\t\t\t\tclearTimeout( timeout );\n\n\t\t\t\t\t\tvar timeSinceLastCall = Date.now() - lastTime;\n\t\t\t\t\t\tif( timeSinceLastCall > ms ) {\n\t\t\t\t\t\t\tfn.apply( context, args );\n\t\t\t\t\t\t\tlastTime = Date.now();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\ttimeout = setTimeout( function() {\n\t\t\t\t\t\t\t\tfn.apply( context, args );\n\t\t\t\t\t\t\t\tlastTime = Date.now();\n\t\t\t\t\t\t\t}, ms - timeSinceLastCall );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t})();\n\n\t\t<\/script>\n\t</body>\n</html>"),!n)return void alert("Speaker view popup failed to open. Please make sure popups are allowed and reopen the speaker view.");!function(){const i=e.getConfig().url,s="string"==typeof i?i:window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search;t=setInterval((function(){n.postMessage(JSON.stringify({namespace:"reveal-notes",type:"connect",state:e.getState(),url:s}),"*")}),500),window.addEventListener("message",r)}()}}function s(t){let i=e.getCurrentSlide(),s=i.querySelectorAll("aside.notes"),r=i.querySelector(".current-fragment"),a={namespace:"reveal-notes",type:"state",notes:"",markdown:!1,whitespace:"normal",state:e.getState()};if(i.hasAttribute("data-notes")&&(a.notes=i.getAttribute("data-notes"),a.whitespace="pre-wrap"),r){let t=r.querySelector("aside.notes");t?(a.notes=t.innerHTML,a.markdown="string"==typeof t.getAttribute("data-markdown"),s=null):r.hasAttribute("data-notes")&&(a.notes=r.getAttribute("data-notes"),a.whitespace="pre-wrap",s=null)}s&&s.length&&(s=Array.from(s).filter((t=>null===t.closest(".fragment"))),a.notes=s.map((t=>t.innerHTML)).join("\n"),a.markdown=s[0]&&"string"==typeof s[0].getAttribute("data-markdown")),n.postMessage(JSON.stringify(a),"*")}function r(i){if(function(t){try{return window.location.origin===t.source.location.origin}catch(t){return!1}}(i))try{let s=JSON.parse(i.data);s&&"reveal-notes"===s.namespace&&"connected"===s.type?(clearInterval(t),a()):s&&"reveal-notes"===s.namespace&&"call"===s.type&&function(t,i,s){let r=e[t].apply(e,i);n.postMessage(JSON.stringify({namespace:"reveal-notes",type:"return",result:r,callId:s}),"*")}(s.methodName,s.arguments,s.callId)}catch(t){}}function a(){e.on("slidechanged",s),e.on("fragmentshown",s),e.on("fragmenthidden",s),e.on("overviewhidden",s),e.on("overviewshown",s),e.on("paused",s),e.on("resumed",s),s()}return{id:"notes",init:function(t){e=t,/receiver/i.test(window.location.search)||(null!==window.location.search.match(/(\?|\&)notes/gi)?i():window.addEventListener("message",(t=>{if(!n&&"string"==typeof t.data){let i;try{i=JSON.parse(t.data)}catch(t){}i&&"reveal-notes"===i.namespace&&"heartbeat"===i.type&&(e=t.source,n&&!n.closed?n.focus():(n=e,window.addEventListener("message",r),a()))}var e})),e.addKeyBinding({keyCode:83,key:"S",description:"Speaker notes view"},(function(){i()})))},open:i}};export{N as default};

src/.quarto/_freeze/site_libs/revealjs/plugin/notes/notes.js

@@ -0,0 +1 @@
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$={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:b,tag:"^comment|^</[a-zA-Z][\\w:-]*\\s*>|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^<![a-zA-Z]+\\s[\\s\\S]*?>|^<!\\[CDATA\\[[\\s\\S]*?\\]\\]>",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:([punct_])|[^\s*]))|^_+(?:([punct*])|([^\s_]))/,rDelimAst:/^(?:[^_*\\]|\\.)*?\_\_(?:[^_*\\]|\\.)*?\*(?:[^_*\\]|\\.)*?(?=\_\_)|(?:[^*\\]|\\.)+(?=[^*])|[punct_](\*+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\*+)(?=[punct_\s]|$)|[punct_\s](\*+)(?=[^punct*_\s])|[\s](\*+)(?=[punct_])|[punct_](\*+)(?=[punct_])|(?:[^punct*_\s\\]|\\.)(\*+)(?=[^punct*_\s])/,rDelimUnd:/^(?:[^_*\\]|\\.)*?\*\*(?:[^_*\\]|\\.)*?\_(?:[^_*\\]|\\.)*?(?=\*\*)|(?:[^_\\]|\\.)+(?=[^_])|[punct*](\_+)(?=[\s]|$)|(?:[^punct*_\s\\]|\\.)(\_+)(?=[punct*\s]|$)|[punct*\s](\_+)(?=[^punct*_\s])|[\s](\_+)(?=[punct*])|[punct*](\_+)(?=[punct*])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:b,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\<!\[`*_]|\b_|$)|[^ ](?= {2,}\n)))/,punctuation:/^([\spunctuation])/};function E(t){return t.replace(/---/g,"—").replace(/--/g,"–").replace(/(^|[-\u2014/(\[{"\s])'/g,"$1‘").replace(/'/g,"’").replace(/(^|[-\u2014/(\[{\u2018\s])"/g,"$1“").replace(/"/g,"”").replace(/\.{3}/g,"…")}function A(t){let e,n,i="";const s=t.length;for(e=0;e<s;e++)n=t.charCodeAt(e),Math.random()>.5&&(n="x"+n.toString(16)),i+="&#"+n+";";return i}$._punctuation="!\"#$%&'()+\\-.,/:;<=>?@\\[\\]`^{|}~",$.punctuation=d($.punctuation).replace(/punctuation/g,$._punctuation).getRegex(),$.blockSkip=/\[[^\]]*?\]\([^\)]*?\)|`[^`]*?`|<[^>]*?>/g,$.escapedEmSt=/(?:^|[^\\])(?:\\\\)*\\[*_]/g,$._comment=d(z._comment).replace("(?:--\x3e|$)","--\x3e").getRegex(),$.emStrong.lDelim=d($.emStrong.lDelim).replace(/punct/g,$._punctuation).getRegex(),$.emStrong.rDelimAst=d($.emStrong.rDelimAst,"g").replace(/punct/g,$._punctuation).getRegex(),$.emStrong.rDelimUnd=d($.emStrong.rDelimUnd,"g").replace(/punct/g,$._punctuation).getRegex(),$._escapes=/\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/g,$._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,$._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,$.autolink=d($.autolink).replace("scheme",$._scheme).replace("email",$._email).getRegex(),$._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,$.tag=d($.tag).replace("comment",$._comment).replace("attribute",$._attribute).getRegex(),$._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,$._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,$._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,$.link=d($.link).replace("label",$._label).replace("href",$._href).replace("title",$._title).getRegex(),$.reflink=d($.reflink).replace("label",$._label).replace("ref",z._label).getRegex(),$.nolink=d($.nolink).replace("ref",z._label).getRegex(),$.reflinkSearch=d($.reflinkSearch,"g").replace("reflink",$.reflink).replace("nolink",$.nolink).getRegex(),$.normal={...$},$.pedantic={...$.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:d(/^!?\[(label)\]\((.*?)\)/).replace("label",$._label).getRegex(),reflink:d(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",$._label).getRegex()},$.gfm={...$.normal,escape:d($.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\<!\[`*~_]|\b_|https?:\/\/|ftp:\/\/|www\.|$)|[^ ](?= {2,}\n)|[^a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-](?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)))/},$.gfm.url=d($.gfm.url,"i").replace("email",$.gfm._extended_email).getRegex(),$.breaks={...$.gfm,br:d($.br).replace("{2,}","*").getRegex(),text:d($.gfm.text).replace("\\b_","\\b_| {2,}\\n").replace(/\{2,\}/g,"*").getRegex()};class R{constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||e,this.options.tokenizer=this.options.tokenizer||new _,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:z.normal,inline:$.normal};this.options.pedantic?(n.block=z.pedantic,n.inline=$.pedantic):this.options.gfm&&(n.block=z.gfm,this.options.breaks?n.inline=$.breaks:n.inline=$.gfm),this.tokenizer.rules=n}static get rules(){return{block:z,inline:$}}static lex(t,e){return new R(e).lex(t)}static lexInline(t,e){return new R(e).inlineTokens(t)}lex(t){let e;for(t=t.replace(/\r\n|\r/g,"\n"),this.blockTokens(t,this.tokens);e=this.inlineQueue.shift();)this.inlineTokens(e.src,e.tokens);return this.tokens}blockTokens(t,e=[]){let n,i,s,r;for(t=this.options.pedantic?t.replace(/\t/g,"    ").replace(/^ +$/gm,""):t.replace(/^( *)(\t+)/gm,((t,e,n)=>e+"    ".repeat(n.length)));t;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((i=>!!(n=i.call({lexer:this},t,e))&&(t=t.substring(n.raw.length),e.push(n),!0)))))if(n=this.tokenizer.space(t))t=t.substring(n.raw.length),1===n.raw.length&&e.length>0?e[e.length-1].raw+="\n":e.push(n);else if(n=this.tokenizer.code(t))t=t.substring(n.raw.length),i=e[e.length-1],!i||"paragraph"!==i.type&&"text"!==i.type?e.push(n):(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue[this.inlineQueue.length-1].src=i.text);else if(n=this.tokenizer.fences(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.heading(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.hr(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.blockquote(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.list(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.html(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.def(t))t=t.substring(n.raw.length),i=e[e.length-1],!i||"paragraph"!==i.type&&"text"!==i.type?this.tokens.links[n.tag]||(this.tokens.links[n.tag]={href:n.href,title:n.title}):(i.raw+="\n"+n.raw,i.text+="\n"+n.raw,this.inlineQueue[this.inlineQueue.length-1].src=i.text);else if(n=this.tokenizer.table(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.lheading(t))t=t.substring(n.raw.length),e.push(n);else{if(s=t,this.options.extensions&&this.options.extensions.startBlock){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startBlock.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof i&&i>=0&&(e=Math.min(e,i))})),e<1/0&&e>=0&&(s=t.substring(0,e+1))}if(this.state.top&&(n=this.tokenizer.paragraph(s)))i=e[e.length-1],r&&"paragraph"===i.type?(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=i.text):e.push(n),r=s.length!==t.length,t=t.substring(n.raw.length);else if(n=this.tokenizer.text(t))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===i.type?(i.raw+="\n"+n.raw,i.text+="\n"+n.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=i.text):e.push(n);else if(t){const e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}return this.state.top=!0,e}inline(t,e=[]){return this.inlineQueue.push({src:t,tokens:e}),e}inlineTokens(t,e=[]){let n,i,s,r,a,o,l=t;if(this.tokens.links){const t=Object.keys(this.tokens.links);if(t.length>0)for(;null!=(r=this.tokenizer.rules.inline.reflinkSearch.exec(l));)t.includes(r[0].slice(r[0].lastIndexOf("[")+1,-1))&&(l=l.slice(0,r.index)+"["+S("a",r[0].length-2)+"]"+l.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(r=this.tokenizer.rules.inline.blockSkip.exec(l));)l=l.slice(0,r.index)+"["+S("a",r[0].length-2)+"]"+l.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;null!=(r=this.tokenizer.rules.inline.escapedEmSt.exec(l));)l=l.slice(0,r.index+r[0].length-2)+"++"+l.slice(this.tokenizer.rules.inline.escapedEmSt.lastIndex),this.tokenizer.rules.inline.escapedEmSt.lastIndex--;for(;t;)if(a||(o=""),a=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some((i=>!!(n=i.call({lexer:this},t,e))&&(t=t.substring(n.raw.length),e.push(n),!0)))))if(n=this.tokenizer.escape(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.tag(t))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.link(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.reflink(t,this.tokens.links))t=t.substring(n.raw.length),i=e[e.length-1],i&&"text"===n.type&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(n=this.tokenizer.emStrong(t,l,o))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.codespan(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.br(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.del(t))t=t.substring(n.raw.length),e.push(n);else if(n=this.tokenizer.autolink(t,A))t=t.substring(n.raw.length),e.push(n);else if(this.state.inLink||!(n=this.tokenizer.url(t,A))){if(s=t,this.options.extensions&&this.options.extensions.startInline){let e=1/0;const n=t.slice(1);let i;this.options.extensions.startInline.forEach((function(t){i=t.call({lexer:this},n),"number"==typeof i&&i>=0&&(e=Math.min(e,i))})),e<1/0&&e>=0&&(s=t.substring(0,e+1))}if(n=this.tokenizer.inlineText(s,E))t=t.substring(n.raw.length),"_"!==n.raw.slice(-1)&&(o=n.raw.slice(-1)),a=!0,i=e[e.length-1],i&&"text"===i.type?(i.raw+=n.raw,i.text+=n.text):e.push(n);else if(t){const e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}else t=t.substring(n.raw.length),e.push(n);return e}}class L{constructor(t){this.options=t||e}code(t,e,n){const i=(e||"").match(/\S*/)[0];if(this.options.highlight){const e=this.options.highlight(t,i);null!=e&&e!==t&&(n=!0,t=e)}return t=t.replace(/\n$/,"")+"\n",i?'<pre><code class="'+this.options.langPrefix+l(i)+'">'+(n?t:l(t,!0))+"</code></pre>\n":"<pre><code>"+(n?t:l(t,!0))+"</code></pre>\n"}blockquote(t){return`<blockquote>\n${t}</blockquote>\n`}html(t){return t}heading(t,e,n,i){if(this.options.headerIds){return`<h${e} id="${this.options.headerPrefix+i.slug(n)}">${t}</h${e}>\n`}return`<h${e}>${t}</h${e}>\n`}hr(){return this.options.xhtml?"<hr/>\n":"<hr>\n"}list(t,e,n){const i=e?"ol":"ul";return"<"+i+(e&&1!==n?' start="'+n+'"':"")+">\n"+t+"</"+i+">\n"}listitem(t){return`<li>${t}</li>\n`}checkbox(t){return"<input "+(t?'checked="" ':"")+'disabled="" type="checkbox"'+(this.options.xhtml?" /":"")+"> "}paragraph(t){return`<p>${t}</p>\n`}table(t,e){return e&&(e=`<tbody>${e}</tbody>`),"<table>\n<thead>\n"+t+"</thead>\n"+e+"</table>\n"}tablerow(t){return`<tr>\n${t}</tr>\n`}tablecell(t,e){const n=e.header?"th":"td";return(e.align?`<${n} align="${e.align}">`:`<${n}>`)+t+`</${n}>\n`}strong(t){return`<strong>${t}</strong>`}em(t){return`<em>${t}</em>`}codespan(t){return`<code>${t}</code>`}br(){return this.options.xhtml?"<br/>":"<br>"}del(t){return`<del>${t}</del>`}link(t,e,n){if(null===(t=m(this.options.sanitize,this.options.baseUrl,t)))return n;let i='<a href="'+t+'"';return e&&(i+=' title="'+e+'"'),i+=">"+n+"</a>",i}image(t,e,n){if(null===(t=m(this.options.sanitize,this.options.baseUrl,t)))return n;let i=`<img src="${t}" alt="${n}"`;return e&&(i+=` title="${e}"`),i+=this.options.xhtml?"/>":">",i}text(t){return t}}class I{strong(t){return t}em(t){return t}codespan(t){return t}del(t){return t}html(t){return t}text(t){return t}link(t,e,n){return""+n}image(t,e,n){return""+n}br(){return""}}class M{constructor(){this.seen={}}serialize(t){return t.toLowerCase().trim().replace(/<[!\/a-z].*?>/gi,"").replace(/[\u2000-\u206F\u2E00-\u2E7F\\'!"#$%&()*+,./:;<=>?@[\]^`{|}~]/g,"").replace(/\s/g,"-")}getNextSafeSlug(t,e){let n=t,i=0;if(this.seen.hasOwnProperty(n)){i=this.seen[t];do{i++,n=t+"-"+i}while(this.seen.hasOwnProperty(n))}return e||(this.seen[t]=i,this.seen[n]=0),n}slug(t,e={}){const n=this.serialize(t);return this.getNextSafeSlug(n,e.dryrun)}}class C{constructor(t){this.options=t||e,this.options.renderer=this.options.renderer||new L,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new I,this.slugger=new M}static parse(t,e){return new C(e).parse(t)}static parseInline(t,e){return new C(e).parseInline(t)}parse(t,e=!0){let n,i,s,r,a,o,l,c,u,d,h,g,m,f,k,w,x,b,y,v="";const S=t.length;for(n=0;n<S;n++)if(d=t[n],this.options.extensions&&this.options.extensions.renderers&&this.options.extensions.renderers[d.type]&&(y=this.options.extensions.renderers[d.type].call({parser:this},d),!1!==y||!["space","hr","heading","code","table","blockquote","list","html","paragraph","text"].includes(d.type)))v+=y||"";else switch(d.type){case"space":continue;case"hr":v+=this.renderer.hr();continue;case"heading":v+=this.renderer.heading(this.parseInline(d.tokens),d.depth,p(this.parseInline(d.tokens,this.textRenderer)),this.slugger);continue;case"code":v+=this.renderer.code(d.text,d.lang,d.escaped);continue;case"table":for(c="",l="",r=d.header.length,i=0;i<r;i++)l+=this.renderer.tablecell(this.parseInline(d.header[i].tokens),{header:!0,align:d.align[i]});for(c+=this.renderer.tablerow(l),u="",r=d.rows.length,i=0;i<r;i++){for(o=d.rows[i],l="",a=o.length,s=0;s<a;s++)l+=this.renderer.tablecell(this.parseInline(o[s].tokens),{header:!1,align:d.align[s]});u+=this.renderer.tablerow(l)}v+=this.renderer.table(c,u);continue;case"blockquote":u=this.parse(d.tokens),v+=this.renderer.blockquote(u);continue;case"list":for(h=d.ordered,g=d.start,m=d.loose,r=d.items.length,u="",i=0;i<r;i++)k=d.items[i],w=k.checked,x=k.task,f="",k.task&&(b=this.renderer.checkbox(w),m?k.tokens.length>0&&"paragraph"===k.tokens[0].type?(k.tokens[0].text=b+" 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100%;\n\t\t\t\tborder: 1px solid #ddd;\n\t\t\t}\n\n\t\t\t#current-slide .label,\n\t\t\t#upcoming-slide .label {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 10px;\n\t\t\t\tleft: 10px;\n\t\t\t\tz-index: 2;\n\t\t\t}\n\n\t\t\t#connection-status {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 100%;\n\t\t\t\tz-index: 20;\n\t\t\t\tpadding: 30% 20% 20% 20%;\n\t\t\t\tfont-size: 18px;\n\t\t\t\tcolor: #222;\n\t\t\t\tbackground: #fff;\n\t\t\t\ttext-align: center;\n\t\t\t\tbox-sizing: border-box;\n\t\t\t\tline-height: 1.4;\n\t\t\t}\n\n\t\t\t.overlay-element {\n\t\t\t\theight: 34px;\n\t\t\t\tline-height: 34px;\n\t\t\t\tpadding: 0 10px;\n\t\t\t\ttext-shadow: none;\n\t\t\t\tbackground: rgba( 220, 220, 220, 0.8 );\n\t\t\t\tcolor: #222;\n\t\t\t\tfont-size: 14px;\n\t\t\t}\n\n\t\t\t.overlay-element.interactive:hover {\n\t\t\t\tbackground: rgba( 220, 220, 220, 1 );\n\t\t\t}\n\n\t\t\t#current-slide {\n\t\t\t\tposition: absolute;\n\t\t\t\twidth: 60%;\n\t\t\t\theight: 100%;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\tpadding-right: 0;\n\t\t\t}\n\n\t\t\t#upcoming-slide {\n\t\t\t\tposition: absolute;\n\t\t\t\twidth: 40%;\n\t\t\t\theight: 40%;\n\t\t\t\tright: 0;\n\t\t\t\ttop: 0;\n\t\t\t}\n\n\t\t\t/* Speaker controls */\n\t\t\t#speaker-controls {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 40%;\n\t\t\t\tright: 0;\n\t\t\t\twidth: 40%;\n\t\t\t\theight: 60%;\n\t\t\t\toverflow: auto;\n\t\t\t\tfont-size: 18px;\n\t\t\t}\n\n\t\t\t\t.speaker-controls-time.hidden,\n\t\t\t\t.speaker-controls-notes.hidden {\n\t\t\t\t\tdisplay: none;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .label,\n\t\t\t\t.speaker-controls-pace .label,\n\t\t\t\t.speaker-controls-notes .label {\n\t\t\t\t\ttext-transform: uppercase;\n\t\t\t\t\tfont-weight: normal;\n\t\t\t\t\tfont-size: 0.66em;\n\t\t\t\t\tcolor: #666;\n\t\t\t\t\tmargin: 0;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time, .speaker-controls-pace {\n\t\t\t\t\tborder-bottom: 1px solid rgba( 200, 200, 200, 0.5 );\n\t\t\t\t\tmargin-bottom: 10px;\n\t\t\t\t\tpadding: 10px 16px;\n\t\t\t\t\tpadding-bottom: 20px;\n\t\t\t\t\tcursor: pointer;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .reset-button {\n\t\t\t\t\topacity: 0;\n\t\t\t\t\tfloat: right;\n\t\t\t\t\tcolor: #666;\n\t\t\t\t\ttext-decoration: none;\n\t\t\t\t}\n\t\t\t\t.speaker-controls-time:hover .reset-button {\n\t\t\t\t\topacity: 1;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer,\n\t\t\t\t.speaker-controls-time .clock {\n\t\t\t\t\twidth: 50%;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer,\n\t\t\t\t.speaker-controls-time .clock,\n\t\t\t\t.speaker-controls-time .pacing .hours-value,\n\t\t\t\t.speaker-controls-time .pacing .minutes-value,\n\t\t\t\t.speaker-controls-time .pacing .seconds-value {\n\t\t\t\t\tfont-size: 1.9em;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .timer {\n\t\t\t\t\tfloat: left;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .clock {\n\t\t\t\t\tfloat: right;\n\t\t\t\t\ttext-align: right;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time span.mute {\n\t\t\t\t\topacity: 0.3;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing-title {\n\t\t\t\t\tmargin-top: 5px;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.ahead {\n\t\t\t\t\tcolor: blue;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.on-track {\n\t\t\t\t\tcolor: green;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-time .pacing.behind {\n\t\t\t\t\tcolor: red;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-notes {\n\t\t\t\t\tpadding: 10px 16px;\n\t\t\t\t}\n\n\t\t\t\t.speaker-controls-notes .value {\n\t\t\t\t\tmargin-top: 5px;\n\t\t\t\t\tline-height: 1.4;\n\t\t\t\t\tfont-size: 1.2em;\n\t\t\t\t}\n\n\t\t\t/* Layout selector */\n\t\t\t#speaker-layout {\n\t\t\t\tposition: absolute;\n\t\t\t\ttop: 10px;\n\t\t\t\tright: 10px;\n\t\t\t\tcolor: #222;\n\t\t\t\tz-index: 10;\n\t\t\t}\n\t\t\t\t#speaker-layout select {\n\t\t\t\t\tposition: absolute;\n\t\t\t\t\twidth: 100%;\n\t\t\t\t\theight: 100%;\n\t\t\t\t\ttop: 0;\n\t\t\t\t\tleft: 0;\n\t\t\t\t\tborder: 0;\n\t\t\t\t\tbox-shadow: 0;\n\t\t\t\t\tcursor: pointer;\n\t\t\t\t\topacity: 0;\n\n\t\t\t\t\tfont-size: 1em;\n\t\t\t\t\tbackground-color: transparent;\n\n\t\t\t\t\t-moz-appearance: none;\n\t\t\t\t\t-webkit-appearance: none;\n\t\t\t\t\t-webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n\t\t\t\t}\n\n\t\t\t\t#speaker-layout select:focus {\n\t\t\t\t\toutline: none;\n\t\t\t\t\tbox-shadow: none;\n\t\t\t\t}\n\n\t\t\t.clear {\n\t\t\t\tclear: both;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Wide */\n\t\t\tbody[data-speaker-layout=\"wide\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"wide\"] #upcoming-slide {\n\t\t\t\twidth: 50%;\n\t\t\t\theight: 45%;\n\t\t\t\tpadding: 6px;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #current-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #upcoming-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 50%;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"wide\"] #speaker-controls {\n\t\t\t\ttop: 45%;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 50%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Tall */\n\t\t\tbody[data-speaker-layout=\"tall\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"tall\"] #upcoming-slide {\n\t\t\t\twidth: 45%;\n\t\t\t\theight: 50%;\n\t\t\t\tpadding: 6px;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #current-slide {\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #upcoming-slide {\n\t\t\t\ttop: 50%;\n\t\t\t\tleft: 0;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"tall\"] #speaker-controls {\n\t\t\t\tpadding-top: 40px;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 45%;\n\t\t\t\twidth: 55%;\n\t\t\t\theight: 100%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t/* Speaker layout: Notes only */\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #current-slide,\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #upcoming-slide {\n\t\t\t\tdisplay: none;\n\t\t\t}\n\n\t\t\tbody[data-speaker-layout=\"notes-only\"] #speaker-controls {\n\t\t\t\tpadding-top: 40px;\n\t\t\t\ttop: 0;\n\t\t\t\tleft: 0;\n\t\t\t\twidth: 100%;\n\t\t\t\theight: 100%;\n\t\t\t\tfont-size: 1.25em;\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 1080px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 16px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 900px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 14px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t@media screen and (max-width: 800px) {\n\t\t\t\tbody[data-speaker-layout=\"default\"] #speaker-controls {\n\t\t\t\t\tfont-size: 12px;\n\t\t\t\t}\n\t\t\t}\n\n\t\t</style>\n\t</head>\n\n\t<body>\n\n\t\t<div id=\"connection-status\">Loading speaker view...</div>\n\n\t\t<div id=\"current-slide\"></div>\n\t\t<div id=\"upcoming-slide\"><span class=\"overlay-element label\">Upcoming</span></div>\n\t\t<div id=\"speaker-controls\">\n\t\t\t<div class=\"speaker-controls-time\">\n\t\t\t\t<h4 class=\"label\">Time <span class=\"reset-button\">Click to Reset</span></h4>\n\t\t\t\t<div class=\"clock\">\n\t\t\t\t\t<span class=\"clock-value\">0:00 AM</span>\n\t\t\t\t</div>\n\t\t\t\t<div class=\"timer\">\n\t\t\t\t\t<span class=\"hours-value\">00</span><span class=\"minutes-value\">:00</span><span class=\"seconds-value\">:00</span>\n\t\t\t\t</div>\n\t\t\t\t<div class=\"clear\"></div>\n\n\t\t\t\t<h4 class=\"label pacing-title\" style=\"display: none\">Pacing – Time to finish current slide</h4>\n\t\t\t\t<div class=\"pacing\" style=\"display: none\">\n\t\t\t\t\t<span class=\"hours-value\">00</span><span class=\"minutes-value\">:00</span><span class=\"seconds-value\">:00</span>\n\t\t\t\t</div>\n\t\t\t</div>\n\n\t\t\t<div class=\"speaker-controls-notes hidden\">\n\t\t\t\t<h4 class=\"label\">Notes</h4>\n\t\t\t\t<div class=\"value\"></div>\n\t\t\t</div>\n\t\t</div>\n\t\t<div id=\"speaker-layout\" class=\"overlay-element interactive\">\n\t\t\t<span class=\"speaker-layout-label\"></span>\n\t\t\t<select class=\"speaker-layout-dropdown\"></select>\n\t\t</div>\n\n\t\t<script>\n\n\t\t\t(function() {\n\n\t\t\t\tvar notes,\n\t\t\t\t\tnotesValue,\n\t\t\t\t\tcurrentState,\n\t\t\t\t\tcurrentSlide,\n\t\t\t\t\tupcomingSlide,\n\t\t\t\t\tlayoutLabel,\n\t\t\t\t\tlayoutDropdown,\n\t\t\t\t\tpendingCalls = {},\n\t\t\t\t\tlastRevealApiCallId = 0,\n\t\t\t\t\tconnected = false\n\n\t\t\t\tvar connectionStatus = document.querySelector( '#connection-status' );\n\n\t\t\t\tvar SPEAKER_LAYOUTS = {\n\t\t\t\t\t'default': 'Default',\n\t\t\t\t\t'wide': 'Wide',\n\t\t\t\t\t'tall': 'Tall',\n\t\t\t\t\t'notes-only': 'Notes only'\n\t\t\t\t};\n\n\t\t\t\tsetupLayout();\n\n\t\t\t\tlet openerOrigin;\n\n\t\t\t\ttry {\n\t\t\t\t\topenerOrigin = window.opener.location.origin;\n\t\t\t\t}\n\t\t\t\tcatch ( error ) { console.warn( error ) }\n\n\t\t\t\t// In order to prevent XSS, the speaker view will only run if its\n\t\t\t\t// opener has the same origin as itself\n\t\t\t\tif( window.location.origin !== openerOrigin ) {\n\t\t\t\t\tconnectionStatus.innerHTML = 'Cross origin error.<br>The speaker window can only be opened from the same origin.';\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\tvar connectionTimeout = setTimeout( function() {\n\t\t\t\t\tconnectionStatus.innerHTML = 'Error connecting to main window.<br>Please try closing and reopening the speaker view.';\n\t\t\t\t}, 5000 );\n\n\t\t\t\twindow.addEventListener( 'message', function( event ) {\n\n\t\t\t\t\t// Validate the origin of all messages to avoid parsing messages\n\t\t\t\t\t// that aren't meant for us. Ignore when running off file:// so\n\t\t\t\t\t// that the speaker view continues to work without a web server.\n\t\t\t\t\tif( window.location.origin !== event.origin && window.location.origin !== 'file://' ) {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\n\t\t\t\t\tclearTimeout( connectionTimeout );\n\t\t\t\t\tconnectionStatus.style.display = 'none';\n\n\t\t\t\t\tvar data = JSON.parse( event.data );\n\n\t\t\t\t\t// The overview mode is only useful to the reveal.js instance\n\t\t\t\t\t// where navigation occurs so we don't sync it\n\t\t\t\t\tif( data.state ) delete data.state.overview;\n\n\t\t\t\t\t// Messages sent by the notes plugin inside of the main window\n\t\t\t\t\tif( data && data.namespace === 'reveal-notes' ) {\n\t\t\t\t\t\tif( data.type === 'connect' ) {\n\t\t\t\t\t\t\thandleConnectMessage( data );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( data.type === 'state' ) {\n\t\t\t\t\t\t\thandleStateMessage( data );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( data.type === 'return' ) {\n\t\t\t\t\t\t\tpendingCalls[data.callId](data.result);\n\t\t\t\t\t\t\tdelete pendingCalls[data.callId];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\t// Messages sent by the reveal.js inside of the current slide preview\n\t\t\t\t\telse if( data && data.namespace === 'reveal' ) {\n\t\t\t\t\t\tif( /ready/.test( data.eventName ) ) {\n\t\t\t\t\t\t\t// Send a message back to notify that the handshake is complete\n\t\t\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'connected'} ), '*' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse if( /slidechanged|fragmentshown|fragmenthidden|paused|resumed/.test( data.eventName ) && currentState !== JSON.stringify( data.state ) ) {\n\n\t\t\t\t\t\t\tdispatchStateToMainWindow( data.state );\n\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t} );\n\n\t\t\t\t/**\n\t\t\t\t * Updates the presentation in the main window to match the state\n\t\t\t\t * of the presentation in the notes window.\n\t\t\t\t */\n\t\t\t\tconst dispatchStateToMainWindow = debounce(( state ) => {\n\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ method: 'setState', args: [ state ]} ), '*' );\n\t\t\t\t}, 500);\n\n\t\t\t\t/**\n\t\t\t\t * Asynchronously calls the Reveal.js API of the main frame.\n\t\t\t\t */\n\t\t\t\tfunction callRevealApi( methodName, methodArguments, callback ) {\n\n\t\t\t\t\tvar callId = ++lastRevealApiCallId;\n\t\t\t\t\tpendingCalls[callId] = callback;\n\t\t\t\t\twindow.opener.postMessage( JSON.stringify( {\n\t\t\t\t\t\tnamespace: 'reveal-notes',\n\t\t\t\t\t\ttype: 'call',\n\t\t\t\t\t\tcallId: callId,\n\t\t\t\t\t\tmethodName: methodName,\n\t\t\t\t\t\targuments: methodArguments\n\t\t\t\t\t} ), '*' );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Called when the main window is trying to establish a\n\t\t\t\t * connection.\n\t\t\t\t */\n\t\t\t\tfunction handleConnectMessage( data ) {\n\n\t\t\t\t\tif( connected === false ) {\n\t\t\t\t\t\tconnected = true;\n\n\t\t\t\t\t\tsetupIframes( data );\n\t\t\t\t\t\tsetupKeyboard();\n\t\t\t\t\t\tsetupNotes();\n\t\t\t\t\t\tsetupTimer();\n\t\t\t\t\t\tsetupHeartbeat();\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Called when the main window sends an updated state.\n\t\t\t\t */\n\t\t\t\tfunction handleStateMessage( data ) {\n\n\t\t\t\t\t// Store the most recently set state to avoid circular loops\n\t\t\t\t\t// applying the same state\n\t\t\t\t\tcurrentState = JSON.stringify( data.state );\n\n\t\t\t\t\t// No need for updating the notes in case of fragment changes\n\t\t\t\t\tif ( data.notes ) {\n\t\t\t\t\t\tnotes.classList.remove( 'hidden' );\n\t\t\t\t\t\tnotesValue.style.whiteSpace = data.whitespace;\n\t\t\t\t\t\tif( data.markdown ) {\n\t\t\t\t\t\t\tnotesValue.innerHTML = marked( data.notes );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tnotesValue.innerHTML = data.notes;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tnotes.classList.add( 'hidden' );\n\t\t\t\t\t}\n\n\t\t\t\t\t// Update the note slides\n\t\t\t\t\tcurrentSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );\n\t\t\t\t\tupcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );\n\t\t\t\t\tupcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'next' }), '*' );\n\n\t\t\t\t}\n\n\t\t\t\t// Limit to max one state update per X ms\n\t\t\t\thandleStateMessage = debounce( handleStateMessage, 200 );\n\n\t\t\t\t/**\n\t\t\t\t * Forward keyboard events to the current slide window.\n\t\t\t\t * This enables keyboard events to work even if focus\n\t\t\t\t * isn't set on the current slide iframe.\n\t\t\t\t *\n\t\t\t\t * Block F5 default handling, it reloads and disconnects\n\t\t\t\t * the speaker notes window.\n\t\t\t\t */\n\t\t\t\tfunction setupKeyboard() {\n\n\t\t\t\t\tdocument.addEventListener( 'keydown', function( event ) {\n\t\t\t\t\t\tif( event.keyCode === 116 || ( event.metaKey && event.keyCode === 82 ) ) {\n\t\t\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\t\t\treturn false;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcurrentSlide.contentWindow.postMessage( JSON.stringify({ method: 'triggerKey', args: [ event.keyCode ] }), '*' );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Creates the preview iframes.\n\t\t\t\t */\n\t\t\t\tfunction setupIframes( data ) {\n\n\t\t\t\t\tvar params = [\n\t\t\t\t\t\t'receiver',\n\t\t\t\t\t\t'progress=false',\n\t\t\t\t\t\t'history=false',\n\t\t\t\t\t\t'transition=none',\n\t\t\t\t\t\t'autoSlide=0',\n\t\t\t\t\t\t'backgroundTransition=none'\n\t\t\t\t\t].join( '&' );\n\n\t\t\t\t\tvar urlSeparator = /\\?/.test(data.url) ? '&' : '?';\n\t\t\t\t\tvar hash = '#/' + data.state.indexh + '/' + data.state.indexv;\n\t\t\t\t\tvar currentURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&postMessageEvents=true' + hash;\n\t\t\t\t\tvar upcomingURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&controls=false' + hash;\n\n\t\t\t\t\tcurrentSlide = document.createElement( 'iframe' );\n\t\t\t\t\tcurrentSlide.setAttribute( 'width', 1280 );\n\t\t\t\t\tcurrentSlide.setAttribute( 'height', 1024 );\n\t\t\t\t\tcurrentSlide.setAttribute( 'src', currentURL );\n\t\t\t\t\tdocument.querySelector( '#current-slide' ).appendChild( currentSlide );\n\n\t\t\t\t\tupcomingSlide = document.createElement( 'iframe' );\n\t\t\t\t\tupcomingSlide.setAttribute( 'width', 640 );\n\t\t\t\t\tupcomingSlide.setAttribute( 'height', 512 );\n\t\t\t\t\tupcomingSlide.setAttribute( 'src', upcomingURL );\n\t\t\t\t\tdocument.querySelector( '#upcoming-slide' ).appendChild( upcomingSlide );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Setup the notes UI.\n\t\t\t\t */\n\t\t\t\tfunction setupNotes() {\n\n\t\t\t\t\tnotes = document.querySelector( '.speaker-controls-notes' );\n\t\t\t\t\tnotesValue = document.querySelector( '.speaker-controls-notes .value' );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * We send out a heartbeat at all times to ensure we can\n\t\t\t\t * reconnect with the main presentation window after reloads.\n\t\t\t\t */\n\t\t\t\tfunction setupHeartbeat() {\n\n\t\t\t\t\tsetInterval( () => {\n\t\t\t\t\t\twindow.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'heartbeat'} ), '*' );\n\t\t\t\t\t}, 1000 );\n\n\t\t\t\t}\n\n\t\t\t\tfunction getTimings( callback ) {\n\n\t\t\t\t\tcallRevealApi( 'getSlidesAttributes', [], function ( slideAttributes ) {\n\t\t\t\t\t\tcallRevealApi( 'getConfig', [], function ( config ) {\n\t\t\t\t\t\t\tvar totalTime = config.totalTime;\n\t\t\t\t\t\t\tvar minTimePerSlide = config.minimumTimePerSlide || 0;\n\t\t\t\t\t\t\tvar defaultTiming = config.defaultTiming;\n\t\t\t\t\t\t\tif ((defaultTiming == null) && (totalTime == null)) {\n\t\t\t\t\t\t\t\tcallback(null);\n\t\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t// Setting totalTime overrides defaultTiming\n\t\t\t\t\t\t\tif (totalTime) {\n\t\t\t\t\t\t\t\tdefaultTiming = 0;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tvar timings = [];\n\t\t\t\t\t\t\tfor ( var i in slideAttributes ) {\n\t\t\t\t\t\t\t\tvar slide = slideAttributes[ i ];\n\t\t\t\t\t\t\t\tvar timing = defaultTiming;\n\t\t\t\t\t\t\t\tif( slide.hasOwnProperty( 'data-timing' )) {\n\t\t\t\t\t\t\t\t\tvar t = slide[ 'data-timing' ];\n\t\t\t\t\t\t\t\t\ttiming = parseInt(t);\n\t\t\t\t\t\t\t\t\tif( isNaN(timing) ) {\n\t\t\t\t\t\t\t\t\t\tconsole.warn(\"Could not parse timing '\" + t + \"' of slide \" + i + \"; using default of \" + defaultTiming);\n\t\t\t\t\t\t\t\t\t\ttiming = defaultTiming;\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\ttimings.push(timing);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif ( totalTime ) {\n\t\t\t\t\t\t\t\t// After we've allocated time to individual slides, we summarize it and\n\t\t\t\t\t\t\t\t// subtract it from the total time\n\t\t\t\t\t\t\t\tvar remainingTime = totalTime - timings.reduce( function(a, b) { return a + b; }, 0 );\n\t\t\t\t\t\t\t\t// The remaining time is divided by the number of slides that have 0 seconds\n\t\t\t\t\t\t\t\t// allocated at the moment, giving the average time-per-slide on the remaining slides\n\t\t\t\t\t\t\t\tvar remainingSlides = (timings.filter( function(x) { return x == 0 }) ).length\n\t\t\t\t\t\t\t\tvar timePerSlide = Math.round( remainingTime / remainingSlides, 0 )\n\t\t\t\t\t\t\t\t// And now we replace every zero-value timing with that average\n\t\t\t\t\t\t\t\ttimings = timings.map( function(x) { return (x==0 ? timePerSlide : x) } );\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tvar slidesUnderMinimum = timings.filter( function(x) { return (x < minTimePerSlide) } ).length\n\t\t\t\t\t\t\tif ( slidesUnderMinimum ) {\n\t\t\t\t\t\t\t\tmessage = \"The pacing time for \" + slidesUnderMinimum + \" slide(s) is under the configured minimum of \" + minTimePerSlide + \" seconds. Check the data-timing attribute on individual slides, or consider increasing the totalTime or minimumTimePerSlide configuration options (or removing some slides).\";\n\t\t\t\t\t\t\t\talert(message);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tcallback( timings );\n\t\t\t\t\t\t} );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Return the number of seconds allocated for presenting\n\t\t\t\t * all slides up to and including this one.\n\t\t\t\t */\n\t\t\t\tfunction getTimeAllocated( timings, callback ) {\n\n\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\tvar allocated = 0;\n\t\t\t\t\t\tfor (var i in timings.slice(0, currentSlide + 1)) {\n\t\t\t\t\t\t\tallocated += timings[i];\n\t\t\t\t\t\t}\n\t\t\t\t\t\tcallback( allocated );\n\t\t\t\t\t} );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Create the timer and clock and start updating them\n\t\t\t\t * at an interval.\n\t\t\t\t */\n\t\t\t\tfunction setupTimer() {\n\n\t\t\t\t\tvar start = new Date(),\n\t\t\t\t\ttimeEl = document.querySelector( '.speaker-controls-time' ),\n\t\t\t\t\tclockEl = timeEl.querySelector( '.clock-value' ),\n\t\t\t\t\thoursEl = timeEl.querySelector( '.hours-value' ),\n\t\t\t\t\tminutesEl = timeEl.querySelector( '.minutes-value' ),\n\t\t\t\t\tsecondsEl = timeEl.querySelector( '.seconds-value' ),\n\t\t\t\t\tpacingTitleEl = timeEl.querySelector( '.pacing-title' ),\n\t\t\t\t\tpacingEl = timeEl.querySelector( '.pacing' ),\n\t\t\t\t\tpacingHoursEl = pacingEl.querySelector( '.hours-value' ),\n\t\t\t\t\tpacingMinutesEl = pacingEl.querySelector( '.minutes-value' ),\n\t\t\t\t\tpacingSecondsEl = pacingEl.querySelector( '.seconds-value' );\n\n\t\t\t\t\tvar timings = null;\n\t\t\t\t\tgetTimings( function ( _timings ) {\n\n\t\t\t\t\t\ttimings = _timings;\n\t\t\t\t\t\tif (_timings !== null) {\n\t\t\t\t\t\t\tpacingTitleEl.style.removeProperty('display');\n\t\t\t\t\t\t\tpacingEl.style.removeProperty('display');\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Update once directly\n\t\t\t\t\t\t_updateTimer();\n\n\t\t\t\t\t\t// Then update every second\n\t\t\t\t\t\tsetInterval( _updateTimer, 1000 );\n\n\t\t\t\t\t} );\n\n\n\t\t\t\t\tfunction _resetTimer() {\n\n\t\t\t\t\t\tif (timings == null) {\n\t\t\t\t\t\t\tstart = new Date();\n\t\t\t\t\t\t\t_updateTimer();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t// Reset timer to beginning of current slide\n\t\t\t\t\t\t\tgetTimeAllocated( timings, function ( slideEndTimingSeconds ) {\n\t\t\t\t\t\t\t\tvar slideEndTiming = slideEndTimingSeconds * 1000;\n\t\t\t\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\t\t\t\tvar currentSlideTiming = timings[currentSlide] * 1000;\n\t\t\t\t\t\t\t\t\tvar previousSlidesTiming = slideEndTiming - currentSlideTiming;\n\t\t\t\t\t\t\t\t\tvar now = new Date();\n\t\t\t\t\t\t\t\t\tstart = new Date(now.getTime() - previousSlidesTiming);\n\t\t\t\t\t\t\t\t\t_updateTimer();\n\t\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\ttimeEl.addEventListener( 'click', function() {\n\t\t\t\t\t\t_resetTimer();\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t} );\n\n\t\t\t\t\tfunction _displayTime( hrEl, minEl, secEl, time) {\n\n\t\t\t\t\t\tvar sign = Math.sign(time) == -1 ? \"-\" : \"\";\n\t\t\t\t\t\ttime = Math.abs(Math.round(time / 1000));\n\t\t\t\t\t\tvar seconds = time % 60;\n\t\t\t\t\t\tvar minutes = Math.floor( time / 60 ) % 60 ;\n\t\t\t\t\t\tvar hours = Math.floor( time / ( 60 * 60 )) ;\n\t\t\t\t\t\thrEl.innerHTML = sign + zeroPadInteger( hours );\n\t\t\t\t\t\tif (hours == 0) {\n\t\t\t\t\t\t\thrEl.classList.add( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\thrEl.classList.remove( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\tminEl.innerHTML = ':' + zeroPadInteger( minutes );\n\t\t\t\t\t\tif (hours == 0 && minutes == 0) {\n\t\t\t\t\t\t\tminEl.classList.add( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tminEl.classList.remove( 'mute' );\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsecEl.innerHTML = ':' + zeroPadInteger( seconds );\n\t\t\t\t\t}\n\n\t\t\t\t\tfunction _updateTimer() {\n\n\t\t\t\t\t\tvar diff, hours, minutes, seconds,\n\t\t\t\t\t\tnow = new Date();\n\n\t\t\t\t\t\tdiff = now.getTime() - start.getTime();\n\n\t\t\t\t\t\tclockEl.innerHTML = now.toLocaleTimeString( 'en-US', { hour12: true, hour: '2-digit', minute:'2-digit' } );\n\t\t\t\t\t\t_displayTime( hoursEl, minutesEl, secondsEl, diff );\n\t\t\t\t\t\tif (timings !== null) {\n\t\t\t\t\t\t\t_updatePacing(diff);\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t\tfunction _updatePacing(diff) {\n\n\t\t\t\t\t\tgetTimeAllocated( timings, function ( slideEndTimingSeconds ) {\n\t\t\t\t\t\t\tvar slideEndTiming = slideEndTimingSeconds * 1000;\n\n\t\t\t\t\t\t\tcallRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {\n\t\t\t\t\t\t\t\tvar currentSlideTiming = timings[currentSlide] * 1000;\n\t\t\t\t\t\t\t\tvar timeLeftCurrentSlide = slideEndTiming - diff;\n\t\t\t\t\t\t\t\tif (timeLeftCurrentSlide < 0) {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing behind';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse if (timeLeftCurrentSlide < currentSlideTiming) {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing on-track';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\t\tpacingEl.className = 'pacing ahead';\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t_displayTime( pacingHoursEl, pacingMinutesEl, pacingSecondsEl, timeLeftCurrentSlide );\n\t\t\t\t\t\t\t} );\n\t\t\t\t\t\t} );\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Sets up the speaker view layout and layout selector.\n\t\t\t\t */\n\t\t\t\tfunction setupLayout() {\n\n\t\t\t\t\tlayoutDropdown = document.querySelector( '.speaker-layout-dropdown' );\n\t\t\t\t\tlayoutLabel = document.querySelector( '.speaker-layout-label' );\n\n\t\t\t\t\t// Render the list of available layouts\n\t\t\t\t\tfor( var id in SPEAKER_LAYOUTS ) {\n\t\t\t\t\t\tvar option = document.createElement( 'option' );\n\t\t\t\t\t\toption.setAttribute( 'value', id );\n\t\t\t\t\t\toption.textContent = SPEAKER_LAYOUTS[ id ];\n\t\t\t\t\t\tlayoutDropdown.appendChild( option );\n\t\t\t\t\t}\n\n\t\t\t\t\t// Monitor the dropdown for changes\n\t\t\t\t\tlayoutDropdown.addEventListener( 'change', function( event ) {\n\n\t\t\t\t\t\tsetLayout( layoutDropdown.value );\n\n\t\t\t\t\t}, false );\n\n\t\t\t\t\t// Restore any currently persisted layout\n\t\t\t\t\tsetLayout( getLayout() );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Sets a new speaker view layout. The layout is persisted\n\t\t\t\t * in local storage.\n\t\t\t\t */\n\t\t\t\tfunction setLayout( value ) {\n\n\t\t\t\t\tvar title = SPEAKER_LAYOUTS[ value ];\n\n\t\t\t\t\tlayoutLabel.innerHTML = 'Layout' + ( title ? ( ': ' + title ) : '' );\n\t\t\t\t\tlayoutDropdown.value = value;\n\n\t\t\t\t\tdocument.body.setAttribute( 'data-speaker-layout', value );\n\n\t\t\t\t\t// Persist locally\n\t\t\t\t\tif( supportsLocalStorage() ) {\n\t\t\t\t\t\twindow.localStorage.setItem( 'reveal-speaker-layout', value );\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Returns the ID of the most recently set speaker layout\n\t\t\t\t * or our default layout if none has been set.\n\t\t\t\t */\n\t\t\t\tfunction getLayout() {\n\n\t\t\t\t\tif( supportsLocalStorage() ) {\n\t\t\t\t\t\tvar layout = window.localStorage.getItem( 'reveal-speaker-layout' );\n\t\t\t\t\t\tif( layout ) {\n\t\t\t\t\t\t\treturn layout;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// Default to the first record in the layouts hash\n\t\t\t\t\tfor( var id in SPEAKER_LAYOUTS ) {\n\t\t\t\t\t\treturn id;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tfunction supportsLocalStorage() {\n\n\t\t\t\t\ttry {\n\t\t\t\t\t\tlocalStorage.setItem('test', 'test');\n\t\t\t\t\t\tlocalStorage.removeItem('test');\n\t\t\t\t\t\treturn true;\n\t\t\t\t\t}\n\t\t\t\t\tcatch( e ) {\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t\tfunction zeroPadInteger( num ) {\n\n\t\t\t\t\tvar str = '00' + parseInt( num );\n\t\t\t\t\treturn str.substring( str.length - 2 );\n\n\t\t\t\t}\n\n\t\t\t\t/**\n\t\t\t\t * Limits the frequency at which a function can be called.\n\t\t\t\t */\n\t\t\t\tfunction debounce( fn, ms ) {\n\n\t\t\t\t\tvar lastTime = 0,\n\t\t\t\t\t\ttimeout;\n\n\t\t\t\t\treturn function() {\n\n\t\t\t\t\t\tvar args = arguments;\n\t\t\t\t\t\tvar context = this;\n\n\t\t\t\t\t\tclearTimeout( timeout );\n\n\t\t\t\t\t\tvar timeSinceLastCall = Date.now() - lastTime;\n\t\t\t\t\t\tif( timeSinceLastCall > ms ) {\n\t\t\t\t\t\t\tfn.apply( context, args );\n\t\t\t\t\t\t\tlastTime = Date.now();\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\ttimeout = setTimeout( function() {\n\t\t\t\t\t\t\t\tfn.apply( context, args );\n\t\t\t\t\t\t\t\tlastTime = Date.now();\n\t\t\t\t\t\t\t}, ms - timeSinceLastCall );\n\t\t\t\t\t\t}\n\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t})();\n\n\t\t<\/script>\n\t</body>\n</html>"),!n)return void alert("Speaker view popup failed to open. Please make sure popups are allowed and reopen the speaker view.");!function(){const i=e.getConfig().url,s="string"==typeof i?i:window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search;t=setInterval((function(){n.postMessage(JSON.stringify({namespace:"reveal-notes",type:"connect",state:e.getState(),url:s}),"*")}),500),window.addEventListener("message",r)}()}}function s(t){let i=e.getCurrentSlide(),s=i.querySelectorAll("aside.notes"),r=i.querySelector(".current-fragment"),a={namespace:"reveal-notes",type:"state",notes:"",markdown:!1,whitespace:"normal",state:e.getState()};if(i.hasAttribute("data-notes")&&(a.notes=i.getAttribute("data-notes"),a.whitespace="pre-wrap"),r){let t=r.querySelector("aside.notes");t?(a.notes=t.innerHTML,a.markdown="string"==typeof t.getAttribute("data-markdown"),s=null):r.hasAttribute("data-notes")&&(a.notes=r.getAttribute("data-notes"),a.whitespace="pre-wrap",s=null)}s&&s.length&&(s=Array.from(s).filter((t=>null===t.closest(".fragment"))),a.notes=s.map((t=>t.innerHTML)).join("\n"),a.markdown=s[0]&&"string"==typeof s[0].getAttribute("data-markdown")),n.postMessage(JSON.stringify(a),"*")}function r(i){if(function(t){try{return window.location.origin===t.source.location.origin}catch(t){return!1}}(i))try{let s=JSON.parse(i.data);s&&"reveal-notes"===s.namespace&&"connected"===s.type?(clearInterval(t),a()):s&&"reveal-notes"===s.namespace&&"call"===s.type&&function(t,i,s){let r=e[t].apply(e,i);n.postMessage(JSON.stringify({namespace:"reveal-notes",type:"return",result:r,callId:s}),"*")}(s.methodName,s.arguments,s.callId)}catch(t){}}function a(){e.on("slidechanged",s),e.on("fragmentshown",s),e.on("fragmenthidden",s),e.on("overviewhidden",s),e.on("overviewshown",s),e.on("paused",s),e.on("resumed",s),s()}return{id:"notes",init:function(t){e=t,/receiver/i.test(window.location.search)||(null!==window.location.search.match(/(\?|\&)notes/gi)?i():window.addEventListener("message",(t=>{if(!n&&"string"==typeof t.data){let i;try{i=JSON.parse(t.data)}catch(t){}i&&"reveal-notes"===i.namespace&&"heartbeat"===i.type&&(e=t.source,n&&!n.closed?n.focus():(n=e,window.addEventListener("message",r),a()))}var e})),e.addKeyBinding({keyCode:83,key:"S",description:"Speaker notes view"},(function(){i()})))},open:i}}}));

src/.quarto/_freeze/site_libs/revealjs/plugin/notes/plugin.js

@@ -0,0 +1,267 @@
+import speakerViewHTML from './speaker-view.html'
+
+import { marked } from 'marked';
+
+/**
+ * Handles opening of and synchronization with the reveal.js
+ * notes window.
+ *
+ * Handshake process:
+ * 1. This window posts 'connect' to notes window
+ *    - Includes URL of presentation to show
+ * 2. Notes window responds with 'connected' when it is available
+ * 3. This window proceeds to send the current presentation state
+ *    to the notes window
+ */
+const Plugin = () => {
+
+	let connectInterval;
+	let speakerWindow = null;
+	let deck;
+
+	/**
+	 * Opens a new speaker view window.
+	 */
+	function openSpeakerWindow() {
+
+		// If a window is already open, focus it
+		if( speakerWindow && !speakerWindow.closed ) {
+			speakerWindow.focus();
+		}
+		else {
+			speakerWindow = window.open( 'about:blank', 'reveal.js - Notes', 'width=1100,height=700' );
+			speakerWindow.marked = marked;
+			speakerWindow.document.write( speakerViewHTML );
+
+			if( !speakerWindow ) {
+				alert( 'Speaker view popup failed to open. Please make sure popups are allowed and reopen the speaker view.' );
+				return;
+			}
+
+			connect();
+		}
+
+	}
+
+	/**
+	 * Reconnect with an existing speaker view window.
+	 */
+	function reconnectSpeakerWindow( reconnectWindow ) {
+
+		if( speakerWindow && !speakerWindow.closed ) {
+			speakerWindow.focus();
+		}
+		else {
+			speakerWindow = reconnectWindow;
+			window.addEventListener( 'message', onPostMessage );
+			onConnected();
+		}
+
+	}
+
+	/**
+		* Connect to the notes window through a postmessage handshake.
+		* Using postmessage enables us to work in situations where the
+		* origins differ, such as a presentation being opened from the
+		* file system.
+		*/
+	function connect() {
+
+		const presentationURL = deck.getConfig().url;
+
+		const url = typeof presentationURL === 'string' ? presentationURL :
+								window.location.protocol + '//' + window.location.host + window.location.pathname + window.location.search;
+
+		// Keep trying to connect until we get a 'connected' message back
+		connectInterval = setInterval( function() {
+			speakerWindow.postMessage( JSON.stringify( {
+				namespace: 'reveal-notes',
+				type: 'connect',
+				state: deck.getState(),
+				url
+			} ), '*' );
+		}, 500 );
+
+		window.addEventListener( 'message', onPostMessage );
+
+	}
+
+	/**
+	 * Calls the specified Reveal.js method with the provided argument
+	 * and then pushes the result to the notes frame.
+	 */
+	function callRevealApi( methodName, methodArguments, callId ) {
+
+		let result = deck[methodName].apply( deck, methodArguments );
+		speakerWindow.postMessage( JSON.stringify( {
+			namespace: 'reveal-notes',
+			type: 'return',
+			result,
+			callId
+		} ), '*' );
+
+	}
+
+	/**
+	 * Posts the current slide data to the notes window.
+	 */
+	function post( event ) {
+
+		let slideElement = deck.getCurrentSlide(),
+			notesElements = slideElement.querySelectorAll( 'aside.notes' ),
+			fragmentElement = slideElement.querySelector( '.current-fragment' );
+
+		let messageData = {
+			namespace: 'reveal-notes',
+			type: 'state',
+			notes: '',
+			markdown: false,
+			whitespace: 'normal',
+			state: deck.getState()
+		};
+
+		// Look for notes defined in a slide attribute
+		if( slideElement.hasAttribute( 'data-notes' ) ) {
+			messageData.notes = slideElement.getAttribute( 'data-notes' );
+			messageData.whitespace = 'pre-wrap';
+		}
+
+		// Look for notes defined in a fragment
+		if( fragmentElement ) {
+			let fragmentNotes = fragmentElement.querySelector( 'aside.notes' );
+			if( fragmentNotes ) {
+				messageData.notes = fragmentNotes.innerHTML;
+				messageData.markdown = typeof fragmentNotes.getAttribute( 'data-markdown' ) === 'string';
+
+				// Ignore other slide notes
+				notesElements = null;
+			}
+			else if( fragmentElement.hasAttribute( 'data-notes' ) ) {
+				messageData.notes = fragmentElement.getAttribute( 'data-notes' );
+				messageData.whitespace = 'pre-wrap';
+
+				// In case there are slide notes
+				notesElements = null;
+			}
+		}
+
+		// Look for notes defined in an aside element
+		if( notesElements && notesElements.length ) {
+			// Ignore notes inside of fragments since those are shown
+			// individually when stepping through fragments
+			notesElements = Array.from( notesElements ).filter( notesElement => notesElement.closest( '.fragment' ) === null );
+
+			messageData.notes = notesElements.map( notesElement => notesElement.innerHTML ).join( '\n' );
+			messageData.markdown = notesElements[0] && typeof notesElements[0].getAttribute( 'data-markdown' ) === 'string';
+		}
+
+		speakerWindow.postMessage( JSON.stringify( messageData ), '*' );
+
+	}
+
+	/**
+	 * Check if the given event is from the same origin as the
+	 * current window.
+	 */
+	function isSameOriginEvent( event ) {
+
+		try {
+			return window.location.origin === event.source.location.origin;
+		}
+		catch ( error ) {
+			return false;
+		}
+
+	}
+
+	function onPostMessage( event ) {
+
+		// Only allow same-origin messages
+		// (added 12/5/22 as a XSS safeguard)
+		if( isSameOriginEvent( event ) ) {
+
+			try {
+				let data = JSON.parse( event.data );
+				if( data && data.namespace === 'reveal-notes' && data.type === 'connected' ) {
+					clearInterval( connectInterval );
+					onConnected();
+				}
+				else if( data && data.namespace === 'reveal-notes' && data.type === 'call' ) {
+					callRevealApi( data.methodName, data.arguments, data.callId );
+				}
+		  } catch (e) {}
+
+		}
+
+	}
+
+	/**
+	 * Called once we have established a connection to the notes
+	 * window.
+	 */
+	function onConnected() {
+
+		// Monitor events that trigger a change in state
+		deck.on( 'slidechanged', post );
+		deck.on( 'fragmentshown', post );
+		deck.on( 'fragmenthidden', post );
+		deck.on( 'overviewhidden', post );
+		deck.on( 'overviewshown', post );
+		deck.on( 'paused', post );
+		deck.on( 'resumed', post );
+
+		// Post the initial state
+		post();
+
+	}
+
+	return {
+		id: 'notes',
+
+		init: function( reveal ) {
+
+			deck = reveal;
+
+			if( !/receiver/i.test( window.location.search ) ) {
+
+				// If the there's a 'notes' query set, open directly
+				if( window.location.search.match( /(\?|\&)notes/gi ) !== null ) {
+					openSpeakerWindow();
+				}
+				else {
+					// Keep listening for speaker view hearbeats. If we receive a
+					// heartbeat from an orphaned window, reconnect it. This ensures
+					// that we remain connected to the notes even if the presentation
+					// is reloaded.
+					window.addEventListener( 'message', event => {
+
+						if( !speakerWindow && typeof event.data === 'string' ) {
+							let data;
+
+							try {
+								data = JSON.parse( event.data );
+							}
+							catch( error ) {}
+
+							if( data && data.namespace === 'reveal-notes' && data.type === 'heartbeat' ) {
+								reconnectSpeakerWindow( event.source );
+							}
+						}
+					});
+				}
+
+				// Open the notes when the 's' key is hit
+				deck.addKeyBinding({keyCode: 83, key: 'S', description: 'Speaker notes view'}, function() {
+					openSpeakerWindow();
+				} );
+
+			}
+
+		},
+
+		open: openSpeakerWindow
+	};
+
+};
+
+export default Plugin;

src/.quarto/_freeze/site_libs/revealjs/plugin/notes/speaker-view.html

@@ -0,0 +1,898 @@
+<!--
+	NOTE: You need to build the notes plugin after making changes to this file.
+-->
+<html lang="en">
+	<head>
+		<meta charset="utf-8">
+
+		<title>reveal.js - Speaker View</title>
+
+		<style>
+			body {
+				font-family: Helvetica;
+				font-size: 18px;
+			}
+
+			#current-slide,
+			#upcoming-slide,
+			#speaker-controls {
+				padding: 6px;
+				box-sizing: border-box;
+				-moz-box-sizing: border-box;
+			}
+
+			#current-slide iframe,
+			#upcoming-slide iframe {
+				width: 100%;
+				height: 100%;
+				border: 1px solid #ddd;
+			}
+
+			#current-slide .label,
+			#upcoming-slide .label {
+				position: absolute;
+				top: 10px;
+				left: 10px;
+				z-index: 2;
+			}
+
+			#connection-status {
+				position: absolute;
+				top: 0;
+				left: 0;
+				width: 100%;
+				height: 100%;
+				z-index: 20;
+				padding: 30% 20% 20% 20%;
+				font-size: 18px;
+				color: #222;
+				background: #fff;
+				text-align: center;
+				box-sizing: border-box;
+				line-height: 1.4;
+			}
+
+			.overlay-element {
+				height: 34px;
+				line-height: 34px;
+				padding: 0 10px;
+				text-shadow: none;
+				background: rgba( 220, 220, 220, 0.8 );
+				color: #222;
+				font-size: 14px;
+			}
+
+			.overlay-element.interactive:hover {
+				background: rgba( 220, 220, 220, 1 );
+			}
+
+			#current-slide {
+				position: absolute;
+				width: 60%;
+				height: 100%;
+				top: 0;
+				left: 0;
+				padding-right: 0;
+			}
+
+			#upcoming-slide {
+				position: absolute;
+				width: 40%;
+				height: 40%;
+				right: 0;
+				top: 0;
+			}
+
+			/* Speaker controls */
+			#speaker-controls {
+				position: absolute;
+				top: 40%;
+				right: 0;
+				width: 40%;
+				height: 60%;
+				overflow: auto;
+				font-size: 18px;
+			}
+
+				.speaker-controls-time.hidden,
+				.speaker-controls-notes.hidden {
+					display: none;
+				}
+
+				.speaker-controls-time .label,
+				.speaker-controls-pace .label,
+				.speaker-controls-notes .label {
+					text-transform: uppercase;
+					font-weight: normal;
+					font-size: 0.66em;
+					color: #666;
+					margin: 0;
+				}
+
+				.speaker-controls-time, .speaker-controls-pace {
+					border-bottom: 1px solid rgba( 200, 200, 200, 0.5 );
+					margin-bottom: 10px;
+					padding: 10px 16px;
+					padding-bottom: 20px;
+					cursor: pointer;
+				}
+
+				.speaker-controls-time .reset-button {
+					opacity: 0;
+					float: right;
+					color: #666;
+					text-decoration: none;
+				}
+				.speaker-controls-time:hover .reset-button {
+					opacity: 1;
+				}
+
+				.speaker-controls-time .timer,
+				.speaker-controls-time .clock {
+					width: 50%;
+				}
+
+				.speaker-controls-time .timer,
+				.speaker-controls-time .clock,
+				.speaker-controls-time .pacing .hours-value,
+				.speaker-controls-time .pacing .minutes-value,
+				.speaker-controls-time .pacing .seconds-value {
+					font-size: 1.9em;
+				}
+
+				.speaker-controls-time .timer {
+					float: left;
+				}
+
+				.speaker-controls-time .clock {
+					float: right;
+					text-align: right;
+				}
+
+				.speaker-controls-time span.mute {
+					opacity: 0.3;
+				}
+
+				.speaker-controls-time .pacing-title {
+					margin-top: 5px;
+				}
+
+				.speaker-controls-time .pacing.ahead {
+					color: blue;
+				}
+
+				.speaker-controls-time .pacing.on-track {
+					color: green;
+				}
+
+				.speaker-controls-time .pacing.behind {
+					color: red;
+				}
+
+				.speaker-controls-notes {
+					padding: 10px 16px;
+				}
+
+				.speaker-controls-notes .value {
+					margin-top: 5px;
+					line-height: 1.4;
+					font-size: 1.2em;
+				}
+
+			/* Layout selector */
+			#speaker-layout {
+				position: absolute;
+				top: 10px;
+				right: 10px;
+				color: #222;
+				z-index: 10;
+			}
+				#speaker-layout select {
+					position: absolute;
+					width: 100%;
+					height: 100%;
+					top: 0;
+					left: 0;
+					border: 0;
+					box-shadow: 0;
+					cursor: pointer;
+					opacity: 0;
+
+					font-size: 1em;
+					background-color: transparent;
+
+					-moz-appearance: none;
+					-webkit-appearance: none;
+					-webkit-tap-highlight-color: rgba(0, 0, 0, 0);
+				}
+
+				#speaker-layout select:focus {
+					outline: none;
+					box-shadow: none;
+				}
+
+			.clear {
+				clear: both;
+			}
+
+			/* Speaker layout: Wide */
+			body[data-speaker-layout="wide"] #current-slide,
+			body[data-speaker-layout="wide"] #upcoming-slide {
+				width: 50%;
+				height: 45%;
+				padding: 6px;
+			}
+
+			body[data-speaker-layout="wide"] #current-slide {
+				top: 0;
+				left: 0;
+			}
+
+			body[data-speaker-layout="wide"] #upcoming-slide {
+				top: 0;
+				left: 50%;
+			}
+
+			body[data-speaker-layout="wide"] #speaker-controls {
+				top: 45%;
+				left: 0;
+				width: 100%;
+				height: 50%;
+				font-size: 1.25em;
+			}
+
+			/* Speaker layout: Tall */
+			body[data-speaker-layout="tall"] #current-slide,
+			body[data-speaker-layout="tall"] #upcoming-slide {
+				width: 45%;
+				height: 50%;
+				padding: 6px;
+			}
+
+			body[data-speaker-layout="tall"] #current-slide {
+				top: 0;
+				left: 0;
+			}
+
+			body[data-speaker-layout="tall"] #upcoming-slide {
+				top: 50%;
+				left: 0;
+			}
+
+			body[data-speaker-layout="tall"] #speaker-controls {
+				padding-top: 40px;
+				top: 0;
+				left: 45%;
+				width: 55%;
+				height: 100%;
+				font-size: 1.25em;
+			}
+
+			/* Speaker layout: Notes only */
+			body[data-speaker-layout="notes-only"] #current-slide,
+			body[data-speaker-layout="notes-only"] #upcoming-slide {
+				display: none;
+			}
+
+			body[data-speaker-layout="notes-only"] #speaker-controls {
+				padding-top: 40px;
+				top: 0;
+				left: 0;
+				width: 100%;
+				height: 100%;
+				font-size: 1.25em;
+			}
+
+			@media screen and (max-width: 1080px) {
+				body[data-speaker-layout="default"] #speaker-controls {
+					font-size: 16px;
+				}
+			}
+
+			@media screen and (max-width: 900px) {
+				body[data-speaker-layout="default"] #speaker-controls {
+					font-size: 14px;
+				}
+			}
+
+			@media screen and (max-width: 800px) {
+				body[data-speaker-layout="default"] #speaker-controls {
+					font-size: 12px;
+				}
+			}
+
+		</style>
+	</head>
+
+	<body>
+
+		<div id="connection-status">Loading speaker view...</div>
+
+		<div id="current-slide"></div>
+		<div id="upcoming-slide"><span class="overlay-element label">Upcoming</span></div>
+		<div id="speaker-controls">
+			<div class="speaker-controls-time">
+				<h4 class="label">Time <span class="reset-button">Click to Reset</span></h4>
+				<div class="clock">
+					<span class="clock-value">0:00 AM</span>
+				</div>
+				<div class="timer">
+					<span class="hours-value">00</span><span class="minutes-value">:00</span><span class="seconds-value">:00</span>
+				</div>
+				<div class="clear"></div>
+
+				<h4 class="label pacing-title" style="display: none">Pacing – Time to finish current slide</h4>
+				<div class="pacing" style="display: none">
+					<span class="hours-value">00</span><span class="minutes-value">:00</span><span class="seconds-value">:00</span>
+				</div>
+			</div>
+
+			<div class="speaker-controls-notes hidden">
+				<h4 class="label">Notes</h4>
+				<div class="value"></div>
+			</div>
+		</div>
+		<div id="speaker-layout" class="overlay-element interactive">
+			<span class="speaker-layout-label"></span>
+			<select class="speaker-layout-dropdown"></select>
+		</div>
+
+		<script>
+
+			(function() {
+
+				var notes,
+					notesValue,
+					currentState,
+					currentSlide,
+					upcomingSlide,
+					layoutLabel,
+					layoutDropdown,
+					pendingCalls = {},
+					lastRevealApiCallId = 0,
+					connected = false
+
+				var connectionStatus = document.querySelector( '#connection-status' );
+
+				var SPEAKER_LAYOUTS = {
+					'default': 'Default',
+					'wide': 'Wide',
+					'tall': 'Tall',
+					'notes-only': 'Notes only'
+				};
+
+				setupLayout();
+
+				let openerOrigin;
+
+				try {
+					openerOrigin = window.opener.location.origin;
+				}
+				catch ( error ) { console.warn( error ) }
+
+				// In order to prevent XSS, the speaker view will only run if its
+				// opener has the same origin as itself
+				if( window.location.origin !== openerOrigin ) {
+					connectionStatus.innerHTML = 'Cross origin error.<br>The speaker window can only be opened from the same origin.';
+					return;
+				}
+
+				var connectionTimeout = setTimeout( function() {
+					connectionStatus.innerHTML = 'Error connecting to main window.<br>Please try closing and reopening the speaker view.';
+				}, 5000 );
+
+				window.addEventListener( 'message', function( event ) {
+
+					// Validate the origin of all messages to avoid parsing messages
+					// that aren't meant for us. Ignore when running off file:// so
+					// that the speaker view continues to work without a web server.
+					if( window.location.origin !== event.origin && window.location.origin !== 'file://' ) {
+						return
+					}
+
+					clearTimeout( connectionTimeout );
+					connectionStatus.style.display = 'none';
+
+					var data = JSON.parse( event.data );
+
+					// The overview mode is only useful to the reveal.js instance
+					// where navigation occurs so we don't sync it
+					if( data.state ) delete data.state.overview;
+
+					// Messages sent by the notes plugin inside of the main window
+					if( data && data.namespace === 'reveal-notes' ) {
+						if( data.type === 'connect' ) {
+							handleConnectMessage( data );
+						}
+						else if( data.type === 'state' ) {
+							handleStateMessage( data );
+						}
+						else if( data.type === 'return' ) {
+							pendingCalls[data.callId](data.result);
+							delete pendingCalls[data.callId];
+						}
+					}
+					// Messages sent by the reveal.js inside of the current slide preview
+					else if( data && data.namespace === 'reveal' ) {
+						if( /ready/.test( data.eventName ) ) {
+							// Send a message back to notify that the handshake is complete
+							window.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'connected'} ), '*' );
+						}
+						else if( /slidechanged|fragmentshown|fragmenthidden|paused|resumed/.test( data.eventName ) && currentState !== JSON.stringify( data.state ) ) {
+
+							dispatchStateToMainWindow( data.state );
+
+						}
+					}
+
+				} );
+
+				/**
+				 * Updates the presentation in the main window to match the state
+				 * of the presentation in the notes window.
+				 */
+				const dispatchStateToMainWindow = debounce(( state ) => {
+					window.opener.postMessage( JSON.stringify({ method: 'setState', args: [ state ]} ), '*' );
+				}, 500);
+
+				/**
+				 * Asynchronously calls the Reveal.js API of the main frame.
+				 */
+				function callRevealApi( methodName, methodArguments, callback ) {
+
+					var callId = ++lastRevealApiCallId;
+					pendingCalls[callId] = callback;
+					window.opener.postMessage( JSON.stringify( {
+						namespace: 'reveal-notes',
+						type: 'call',
+						callId: callId,
+						methodName: methodName,
+						arguments: methodArguments
+					} ), '*' );
+
+				}
+
+				/**
+				 * Called when the main window is trying to establish a
+				 * connection.
+				 */
+				function handleConnectMessage( data ) {
+
+					if( connected === false ) {
+						connected = true;
+
+						setupIframes( data );
+						setupKeyboard();
+						setupNotes();
+						setupTimer();
+						setupHeartbeat();
+					}
+
+				}
+
+				/**
+				 * Called when the main window sends an updated state.
+				 */
+				function handleStateMessage( data ) {
+
+					// Store the most recently set state to avoid circular loops
+					// applying the same state
+					currentState = JSON.stringify( data.state );
+
+					// No need for updating the notes in case of fragment changes
+					if ( data.notes ) {
+						notes.classList.remove( 'hidden' );
+						notesValue.style.whiteSpace = data.whitespace;
+						if( data.markdown ) {
+							notesValue.innerHTML = marked( data.notes );
+						}
+						else {
+							notesValue.innerHTML = data.notes;
+						}
+					}
+					else {
+						notes.classList.add( 'hidden' );
+					}
+
+					// Update the note slides
+					currentSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );
+					upcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'setState', args: [ data.state ] }), '*' );
+					upcomingSlide.contentWindow.postMessage( JSON.stringify({ method: 'next' }), '*' );
+
+				}
+
+				// Limit to max one state update per X ms
+				handleStateMessage = debounce( handleStateMessage, 200 );
+
+				/**
+				 * Forward keyboard events to the current slide window.
+				 * This enables keyboard events to work even if focus
+				 * isn't set on the current slide iframe.
+				 *
+				 * Block F5 default handling, it reloads and disconnects
+				 * the speaker notes window.
+				 */
+				function setupKeyboard() {
+
+					document.addEventListener( 'keydown', function( event ) {
+						if( event.keyCode === 116 || ( event.metaKey && event.keyCode === 82 ) ) {
+							event.preventDefault();
+							return false;
+						}
+						currentSlide.contentWindow.postMessage( JSON.stringify({ method: 'triggerKey', args: [ event.keyCode ] }), '*' );
+					} );
+
+				}
+
+				/**
+				 * Creates the preview iframes.
+				 */
+				function setupIframes( data ) {
+
+					var params = [
+						'receiver',
+						'progress=false',
+						'history=false',
+						'transition=none',
+						'autoSlide=0',
+						'backgroundTransition=none'
+					].join( '&' );
+
+					var urlSeparator = /\?/.test(data.url) ? '&' : '?';
+					var hash = '#/' + data.state.indexh + '/' + data.state.indexv;
+					var currentURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&postMessageEvents=true' + hash;
+					var upcomingURL = data.url + urlSeparator + params + '&scrollActivationWidth=false&controls=false' + hash;
+
+					currentSlide = document.createElement( 'iframe' );
+					currentSlide.setAttribute( 'width', 1280 );
+					currentSlide.setAttribute( 'height', 1024 );
+					currentSlide.setAttribute( 'src', currentURL );
+					document.querySelector( '#current-slide' ).appendChild( currentSlide );
+
+					upcomingSlide = document.createElement( 'iframe' );
+					upcomingSlide.setAttribute( 'width', 640 );
+					upcomingSlide.setAttribute( 'height', 512 );
+					upcomingSlide.setAttribute( 'src', upcomingURL );
+					document.querySelector( '#upcoming-slide' ).appendChild( upcomingSlide );
+
+				}
+
+				/**
+				 * Setup the notes UI.
+				 */
+				function setupNotes() {
+
+					notes = document.querySelector( '.speaker-controls-notes' );
+					notesValue = document.querySelector( '.speaker-controls-notes .value' );
+
+				}
+
+				/**
+				 * We send out a heartbeat at all times to ensure we can
+				 * reconnect with the main presentation window after reloads.
+				 */
+				function setupHeartbeat() {
+
+					setInterval( () => {
+						window.opener.postMessage( JSON.stringify({ namespace: 'reveal-notes', type: 'heartbeat'} ), '*' );
+					}, 1000 );
+
+				}
+
+				function getTimings( callback ) {
+
+					callRevealApi( 'getSlidesAttributes', [], function ( slideAttributes ) {
+						callRevealApi( 'getConfig', [], function ( config ) {
+							var totalTime = config.totalTime;
+							var minTimePerSlide = config.minimumTimePerSlide || 0;
+							var defaultTiming = config.defaultTiming;
+							if ((defaultTiming == null) && (totalTime == null)) {
+								callback(null);
+								return;
+							}
+							// Setting totalTime overrides defaultTiming
+							if (totalTime) {
+								defaultTiming = 0;
+							}
+							var timings = [];
+							for ( var i in slideAttributes ) {
+								var slide = slideAttributes[ i ];
+								var timing = defaultTiming;
+								if( slide.hasOwnProperty( 'data-timing' )) {
+									var t = slide[ 'data-timing' ];
+									timing = parseInt(t);
+									if( isNaN(timing) ) {
+										console.warn("Could not parse timing '" + t + "' of slide " + i + "; using default of " + defaultTiming);
+										timing = defaultTiming;
+									}
+								}
+								timings.push(timing);
+							}
+							if ( totalTime ) {
+								// After we've allocated time to individual slides, we summarize it and
+								// subtract it from the total time
+								var remainingTime = totalTime - timings.reduce( function(a, b) { return a + b; }, 0 );
+								// The remaining time is divided by the number of slides that have 0 seconds
+								// allocated at the moment, giving the average time-per-slide on the remaining slides
+								var remainingSlides = (timings.filter( function(x) { return x == 0 }) ).length
+								var timePerSlide = Math.round( remainingTime / remainingSlides, 0 )
+								// And now we replace every zero-value timing with that average
+								timings = timings.map( function(x) { return (x==0 ? timePerSlide : x) } );
+							}
+							var slidesUnderMinimum = timings.filter( function(x) { return (x < minTimePerSlide) } ).length
+							if ( slidesUnderMinimum ) {
+								message = "The pacing time for " + slidesUnderMinimum + " slide(s) is under the configured minimum of " + minTimePerSlide + " seconds. Check the data-timing attribute on individual slides, or consider increasing the totalTime or minimumTimePerSlide configuration options (or removing some slides).";
+								alert(message);
+							}
+							callback( timings );
+						} );
+					} );
+
+				}
+
+				/**
+				 * Return the number of seconds allocated for presenting
+				 * all slides up to and including this one.
+				 */
+				function getTimeAllocated( timings, callback ) {
+
+					callRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {
+						var allocated = 0;
+						for (var i in timings.slice(0, currentSlide + 1)) {
+							allocated += timings[i];
+						}
+						callback( allocated );
+					} );
+
+				}
+
+				/**
+				 * Create the timer and clock and start updating them
+				 * at an interval.
+				 */
+				function setupTimer() {
+
+					var start = new Date(),
+					timeEl = document.querySelector( '.speaker-controls-time' ),
+					clockEl = timeEl.querySelector( '.clock-value' ),
+					hoursEl = timeEl.querySelector( '.hours-value' ),
+					minutesEl = timeEl.querySelector( '.minutes-value' ),
+					secondsEl = timeEl.querySelector( '.seconds-value' ),
+					pacingTitleEl = timeEl.querySelector( '.pacing-title' ),
+					pacingEl = timeEl.querySelector( '.pacing' ),
+					pacingHoursEl = pacingEl.querySelector( '.hours-value' ),
+					pacingMinutesEl = pacingEl.querySelector( '.minutes-value' ),
+					pacingSecondsEl = pacingEl.querySelector( '.seconds-value' );
+
+					var timings = null;
+					getTimings( function ( _timings ) {
+
+						timings = _timings;
+						if (_timings !== null) {
+							pacingTitleEl.style.removeProperty('display');
+							pacingEl.style.removeProperty('display');
+						}
+
+						// Update once directly
+						_updateTimer();
+
+						// Then update every second
+						setInterval( _updateTimer, 1000 );
+
+					} );
+
+
+					function _resetTimer() {
+
+						if (timings == null) {
+							start = new Date();
+							_updateTimer();
+						}
+						else {
+							// Reset timer to beginning of current slide
+							getTimeAllocated( timings, function ( slideEndTimingSeconds ) {
+								var slideEndTiming = slideEndTimingSeconds * 1000;
+								callRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {
+									var currentSlideTiming = timings[currentSlide] * 1000;
+									var previousSlidesTiming = slideEndTiming - currentSlideTiming;
+									var now = new Date();
+									start = new Date(now.getTime() - previousSlidesTiming);
+									_updateTimer();
+								} );
+							} );
+						}
+
+					}
+
+					timeEl.addEventListener( 'click', function() {
+						_resetTimer();
+						return false;
+					} );
+
+					function _displayTime( hrEl, minEl, secEl, time) {
+
+						var sign = Math.sign(time) == -1 ? "-" : "";
+						time = Math.abs(Math.round(time / 1000));
+						var seconds = time % 60;
+						var minutes = Math.floor( time / 60 ) % 60 ;
+						var hours = Math.floor( time / ( 60 * 60 )) ;
+						hrEl.innerHTML = sign + zeroPadInteger( hours );
+						if (hours == 0) {
+							hrEl.classList.add( 'mute' );
+						}
+						else {
+							hrEl.classList.remove( 'mute' );
+						}
+						minEl.innerHTML = ':' + zeroPadInteger( minutes );
+						if (hours == 0 && minutes == 0) {
+							minEl.classList.add( 'mute' );
+						}
+						else {
+							minEl.classList.remove( 'mute' );
+						}
+						secEl.innerHTML = ':' + zeroPadInteger( seconds );
+					}
+
+					function _updateTimer() {
+
+						var diff, hours, minutes, seconds,
+						now = new Date();
+
+						diff = now.getTime() - start.getTime();
+
+						clockEl.innerHTML = now.toLocaleTimeString( 'en-US', { hour12: true, hour: '2-digit', minute:'2-digit' } );
+						_displayTime( hoursEl, minutesEl, secondsEl, diff );
+						if (timings !== null) {
+							_updatePacing(diff);
+						}
+
+					}
+
+					function _updatePacing(diff) {
+
+						getTimeAllocated( timings, function ( slideEndTimingSeconds ) {
+							var slideEndTiming = slideEndTimingSeconds * 1000;
+
+							callRevealApi( 'getSlidePastCount', [], function ( currentSlide ) {
+								var currentSlideTiming = timings[currentSlide] * 1000;
+								var timeLeftCurrentSlide = slideEndTiming - diff;
+								if (timeLeftCurrentSlide < 0) {
+									pacingEl.className = 'pacing behind';
+								}
+								else if (timeLeftCurrentSlide < currentSlideTiming) {
+									pacingEl.className = 'pacing on-track';
+								}
+								else {
+									pacingEl.className = 'pacing ahead';
+								}
+								_displayTime( pacingHoursEl, pacingMinutesEl, pacingSecondsEl, timeLeftCurrentSlide );
+							} );
+						} );
+					}
+
+				}
+
+				/**
+				 * Sets up the speaker view layout and layout selector.
+				 */
+				function setupLayout() {
+
+					layoutDropdown = document.querySelector( '.speaker-layout-dropdown' );
+					layoutLabel = document.querySelector( '.speaker-layout-label' );
+
+					// Render the list of available layouts
+					for( var id in SPEAKER_LAYOUTS ) {
+						var option = document.createElement( 'option' );
+						option.setAttribute( 'value', id );
+						option.textContent = SPEAKER_LAYOUTS[ id ];
+						layoutDropdown.appendChild( option );
+					}
+
+					// Monitor the dropdown for changes
+					layoutDropdown.addEventListener( 'change', function( event ) {
+
+						setLayout( layoutDropdown.value );
+
+					}, false );
+
+					// Restore any currently persisted layout
+					setLayout( getLayout() );
+
+				}
+
+				/**
+				 * Sets a new speaker view layout. The layout is persisted
+				 * in local storage.
+				 */
+				function setLayout( value ) {
+
+					var title = SPEAKER_LAYOUTS[ value ];
+
+					layoutLabel.innerHTML = 'Layout' + ( title ? ( ': ' + title ) : '' );
+					layoutDropdown.value = value;
+
+					document.body.setAttribute( 'data-speaker-layout', value );
+
+					// Persist locally
+					if( supportsLocalStorage() ) {
+						window.localStorage.setItem( 'reveal-speaker-layout', value );
+					}
+
+				}
+
+				/**
+				 * Returns the ID of the most recently set speaker layout
+				 * or our default layout if none has been set.
+				 */
+				function getLayout() {
+
+					if( supportsLocalStorage() ) {
+						var layout = window.localStorage.getItem( 'reveal-speaker-layout' );
+						if( layout ) {
+							return layout;
+						}
+					}
+
+					// Default to the first record in the layouts hash
+					for( var id in SPEAKER_LAYOUTS ) {
+						return id;
+					}
+
+				}
+
+				function supportsLocalStorage() {
+
+					try {
+						localStorage.setItem('test', 'test');
+						localStorage.removeItem('test');
+						return true;
+					}
+					catch( e ) {
+						return false;
+					}
+
+				}
+
+				function zeroPadInteger( num ) {
+
+					var str = '00' + parseInt( num );
+					return str.substring( str.length - 2 );
+
+				}
+
+				/**
+				 * Limits the frequency at which a function can be called.
+				 */
+				function debounce( fn, ms ) {
+
+					var lastTime = 0,
+						timeout;
+
+					return function() {
+
+						var args = arguments;
+						var context = this;
+
+						clearTimeout( timeout );
+
+						var timeSinceLastCall = Date.now() - lastTime;
+						if( timeSinceLastCall > ms ) {
+							fn.apply( context, args );
+							lastTime = Date.now();
+						}
+						else {
+							timeout = setTimeout( function() {
+								fn.apply( context, args );
+								lastTime = Date.now();
+							}, ms - timeSinceLastCall );
+						}
+
+					}
+
+				}
+
+			})();
+
+		</script>
+	</body>
+</html>

src/.quarto/_freeze/site_libs/revealjs/plugin/pdf-export/pdfexport.js

@@ -0,0 +1,115 @@
+var PdfExport = ( function( _Reveal ){
+
+	var Reveal = _Reveal;
+	var setStylesheet = null;
+	var installAltKeyBindings = null;
+
+	function getRevealJsPath(){
+		var regex = /\b[^/]+\/reveal.css$/i;
+		var script = Array.from( document.querySelectorAll( 'link' ) ).find( function( e ){
+			return e.attributes.href && e.attributes.href.value.search( regex ) >= 0;
+		});
+		if( !script ){
+			console.error( 'reveal.css could not be found in included <link> elements. Did you rename this file?' );
+			return '';
+		}
+		return script.attributes.href.value.replace( regex, '' );
+	}
+
+	function setStylesheet3( pdfExport ){
+		var link = document.querySelector( '#print' );
+		if( !link ){
+			link = document.createElement( 'link' );
+			link.rel = 'stylesheet';
+			link.id = 'print';
+			document.querySelector( 'head' ).appendChild( link );
+		}
+		var style = 'paper';
+		if( pdfExport ){
+			style = 'pdf';
+		}
+		link.href = getRevealJsPath() + 'css/print/' + style + '.css';
+	}
+
+	function setStylesheet4( pdfExport ){
+	}
+
+	function installAltKeyBindings3(){
+	}
+
+	function installAltKeyBindings4(){
+		if( isPrintingPDF() ){
+			var config = Reveal.getConfig();
+			var shortcut = config.pdfExportShortcut || 'E';
+			window.addEventListener( 'keydown', function( e ){
+				if( e.target.nodeName.toUpperCase() == 'BODY'
+					&& ( e.key.toUpperCase() == shortcut.toUpperCase() || e.keyCode == shortcut.toUpperCase().charCodeAt( 0 ) ) ){
+					e.preventDefault();
+					togglePdfExport();
+					return false;
+				}
+			}, true );
+		}
+	}
+	
+	function isPrintingPDF(){
+		return /print-pdf/gi.test(window.location.search) || /view=print/gi.test(window.location.search);
+	}
+
+	function togglePdfExport(){
+		var url_doc = new URL( document.URL );
+		var query_doc = new URLSearchParams( url_doc.searchParams );
+		if( isPrintingPDF() ){
+			if (query_doc.has('print-pdf')) {
+				query_doc.delete('print-pdf');
+			} else if (query_doc.has('view')) {
+				query_doc.delete('view');
+			}
+		}else{
+			query_doc.set( 'view', 'print' );
+		}
+		url_doc.search = ( query_doc.toString() ? '?' + query_doc.toString() : '' );
+		window.location.href = url_doc.toString();
+	}
+
+	function installKeyBindings(){
+		var config = Reveal.getConfig();
+		var shortcut = config.pdfExportShortcut || 'E';
+		Reveal.addKeyBinding({
+			keyCode: shortcut.toUpperCase().charCodeAt( 0 ),
+			key: shortcut.toUpperCase(),
+			description: 'PDF export mode'
+		}, togglePdfExport );
+		installAltKeyBindings();
+	}
+
+	function install(){
+		installKeyBindings();
+		setStylesheet( isPrintingPDF() );
+	}
+
+	var Plugin = {
+	}
+
+	if( Reveal && Reveal.VERSION && Reveal.VERSION.length && Reveal.VERSION[ 0 ] == '3' ){
+		// reveal 3.x
+		setStylesheet = setStylesheet3;
+		installAltKeyBindings = installAltKeyBindings3;
+		install();
+	}else{
+		// must be reveal 4.x
+		setStylesheet = setStylesheet4;
+		installAltKeyBindings = installAltKeyBindings4;
+		Plugin.id = 'pdf-export';
+		Plugin.init = function( _Reveal ){
+			Reveal = _Reveal;
+			install();
+		};
+		Plugin.togglePdfExport = function () {
+      togglePdfExport();
+		};
+	}
+
+	return Plugin;
+
+})( Reveal );

src/.quarto/_freeze/site_libs/revealjs/plugin/pdf-export/plugin.yml

@@ -0,0 +1,2 @@
+name: PdfExport
+script: pdfexport.js