diff --git a/Chapter_word_count.ipynb b/Chapter_word_count.ipynb deleted file mode 100644 index 8ce5aff..0000000 --- a/Chapter_word_count.ipynb +++ /dev/null @@ -1,362 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "name": "Untitled25.ipynb", - "provenance": [], - "authorship_tag": "ABX9TyNJdlLdL56gLSWYqG177B0A", - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "TQUe8ZZed-Bp" - }, - "source": [ - "Run in colab by clicking the link above to view the results as a paginated table with word counts for each chapter near the bottom of the notebook. Total word count at the very bottom." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "X7D8JEIgy9fV" - }, - "source": [ - "This notebook counts through the translatable words of each chapter, including chapter links; ignores code blocks, markdown characters, and tokens containing digits." - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "kT4wyWuy2szs" - }, - "source": [ - "import os\n", - "import pandas as pd\n", - "import re" - ], - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9J62Uh4H2Y9g", - "outputId": "8d2c4675-ddf9-4cd5-8fb2-ee4cae9b034d" - }, - "source": [ - "!git clone https://github.com/icculp/Learning-Bitcoin-from-the-Command-Line.git" - ], - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "text": [ - "fatal: destination path 'Learning-Bitcoin-from-the-Command-Line' already exists and is not an empty directory.\n" - ], - "name": "stdout" - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "k_g4-Fvn2yPy" - }, - "source": [ - "def count_words():\n", - " \"\"\" Counts words ignoring code blocks and digits\n", - "\n", - " To test for quality:\n", - " lines 14-16 to test a single chapter\n", - " uncomment line 45 to view accepted word tokens\n", - " uncomment line \n", - " \"\"\"\n", - " columns=['Chapter', 'Word Count']\n", - " counts = []\n", - " repo_path = '/content/Learning-Bitcoin-from-the-Command-Line/'\n", - " for chapter in os.listdir(repo_path):\n", - " ''' uncomment lines 8-10 to test a single chapter, replacing ch_name\n", - " with the name you want to test\n", - " '''\n", - " #ch_name = '03_2_Knowing_Your_Bitcoin_Setup.md'\n", - " #if chapter != ch_name:\n", - " # continue\n", - " ignore_list = ['bitcoin.conf-annotated.txt', 'TODO.md', 'TODO-30.md']\n", - " if chapter in ignore_list or\\\n", - " not chapter.endswith('md'): # g\n", - " continue\n", - " count = 0\n", - " flag = 0 # ignores words between code markdown ```\n", - " with open(repo_path + chapter) as ch:\n", - " for line in ch.readlines():\n", - " if flag:\n", - " if '```' in line[:3].replace(' ', ''):\n", - " flag = 0\n", - " continue\n", - " continue\n", - " if '```' in line:\n", - " flag = 1\n", - " continue\n", - " for word in line.split():\n", - " if '.md' in word:\n", - " ch_link_tokens = word.split('_')\n", - " if ']' in word: # indicates trailing link with chapter name; counts last word of trailing link before chapter name\n", - " count += 1\n", - " link_tokens_count = len(ch_link_tokens[2:]) # ignoring chapter numbers in chapter link tokens\n", - " count += link_tokens_count\n", - " # print(word, '[TOK]', link_tokens_count, end='[SEPTOK]')\n", - " continue\n", - " ignore = ['*', '**', '#', '##', '###', '####',\n", - " '-', '—', '>', '`', '/', '&', '|', '~']\n", - " if any(ch.isdigit() for ch in word) or\\\n", - " word in ignore or\\\n", - " '`' in word or\\\n", - " '~/' in word or\\\n", - " '/.' in word or\\\n", - " '|-' in word or\\\n", - " (word[0] == ':' and word[-1] == ':') or\\\n", - " (word[0] == '\"' and word[-1] == '\"'):\n", - " # print(word) # , end='[SEP]') # view rejected tokens\n", - " continue\n", - " # print(word, count) # , end='[SEP]') # view accepted tokens\n", - " count += 1\n", - " counts.append((chapter, count))\n", - " # print(chapter, count)\n", - " return pd.DataFrame(counts, columns=columns)" - ], - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "2-pkEaYF3Uxm" - }, - "source": [ - "chapter_word_counts = count_words()\n", - "chapter_word_counts.sort_values(by=['Chapter'], inplace=True)\n", - "# view accepted or rejected tokens below if line 53 or 51 uncommented in count_words(), respectively" - ], - "execution_count": 4, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 631 - }, - "id": "K73GH7UFmwI5", - "outputId": "d1430339-8b1b-43f3-cdcf-1019948c7b9c" - }, - "source": [ - "from google.colab import data_table\n", - "data_table.DataTable(chapter_word_counts, include_index=False)" - ], - "execution_count": 5, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "application/vnd.google.colaboratory.module+javascript": "\n import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n window.createDataTable({\n data: [[\"01_0_Introduction.md\",\n{\n 'v': 1144,\n 'f': \"1144\",\n }],\n [\"01_1_Introducing_Bitcoin.md\",\n{\n 'v': 2735,\n 'f': \"2735\",\n }],\n [\"02_0_Setting_Up_a_Bitcoin-Core_VPS.md\",\n{\n 'v': 226,\n 'f': \"226\",\n }],\n [\"02_1_Setting_Up_a_Bitcoin-Core_VPS_with_StackScript.md\",\n{\n 'v': 2723,\n 'f': \"2723\",\n }],\n [\"02_2_Setting_Up_Bitcoin_Core_Other.md\",\n{\n 'v': 254,\n 'f': \"254\",\n }],\n [\"03_0_Understanding_Your_Bitcoin_Setup.md\",\n{\n 'v': 248,\n 'f': \"248\",\n }],\n [\"03_1_Verifying_Your_Bitcoin_Setup.md\",\n{\n 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[\"07_0_Expanding_Bitcoin_Transactions_PSBTs.md\",\n{\n 'v': 169,\n 'f': \"169\",\n }],\n [\"07_1_Creating_a_Partially_Signed_Bitcoin_Transaction.md\",\n{\n 'v': 1470,\n 'f': \"1470\",\n }],\n [\"07_2_Using_a_Partially_Signed_Bitcoin_Transaction.md\",\n{\n 'v': 1393,\n 'f': \"1393\",\n }],\n [\"07_3_Integrating_with_Hardware_Wallets.md\",\n{\n 'v': 2150,\n 'f': \"2150\",\n }],\n [\"08_0_Expanding_Bitcoin_Transactions_Other.md\",\n{\n 'v': 139,\n 'f': \"139\",\n }],\n [\"08_1_Sending_a_Transaction_with_a_Locktime.md\",\n{\n 'v': 1483,\n 'f': \"1483\",\n }],\n [\"08_2_Sending_a_Transaction_with_Data.md\",\n{\n 'v': 580,\n 'f': \"580\",\n }],\n [\"09_0_Introducing_Bitcoin_Scripts.md\",\n{\n 'v': 196,\n 'f': \"196\",\n }],\n [\"09_1_Understanding_the_Foundation_of_Transactions.md\",\n{\n 'v': 989,\n 'f': \"989\",\n }],\n [\"09_2_Running_a_Bitcoin_Script.md\",\n{\n 'v': 863,\n 'f': \"863\",\n }],\n [\"09_3_Testing_a_Bitcoin_Script.md\",\n{\n 'v': 1000,\n 'f': \"1000\",\n }],\n 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ChapterWord Count
7201_0_Introduction.md1144
2101_1_Introducing_Bitcoin.md2735
2002_0_Setting_Up_a_Bitcoin-Core_VPS.md226
9702_1_Setting_Up_a_Bitcoin-Core_VPS_with_StackS...2723
9402_2_Setting_Up_Bitcoin_Core_Other.md254
.........
45A3_0_Using_Bitcoin_Regtest.md980
38CLA.md495
74CONTRIBUTING.md529
53LICENSE-CC-BY-4.0.md2716
2README.md1687
\n", - "

101 rows × 2 columns

\n", - "
" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 5 - } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_gGsbGDckIrC", - "outputId": "a9811107-2a07-464a-d96a-c6767e5ea7d4" - }, - "source": [ - "total_count = chapter_word_counts['Word Count'].sum()\n", - "total_count" - ], - "execution_count": 6, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "88215" - ] - }, - "metadata": { - "tags": [] - }, - "execution_count": 6 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "14kdusmNzcfz" - }, - "source": [ - "To convert the table to a markdown format and save as 'Chapter_word_counts.md', run the cells below" - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "uc7eKo9TkidD" - }, - "source": [ - "from IPython.display import Markdown, display\n", - "from tabulate import tabulate\n", - "\n", - "\n", - "# borrowed from https://stackoverflow.com/questions/33181846/programmatically-convert-pandas-dataframe-to-markdown-table\n", - "\n", - "def pandas_df_to_markdown_table(df):\n", - " fmt = ['---' for i in range(len(df.columns))]\n", - " df_fmt = pd.DataFrame([fmt], columns=df.columns)\n", - " df_formatted = pd.concat([df_fmt, df])\n", - " return Markdown(df_formatted.to_csv(sep=\"|\", index=False))\n", - "\n", - "def df_to_markdown(df, y_index=False):\n", - " blob = tabulate(df, headers='keys', tablefmt='pipe')\n", - " if not y_index:\n", - " return '\\n'.join(['| {}'.format(row.split('|', 2)[-1]) for row in blob.split('\\n')])\n", - " return blob" - ], - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "id": "Y0QVAGKqzWX6" - }, - "source": [ - "mkt = pandas_df_to_markdown_table(chapter_word_counts)\n", - "\n", - "with open('Chapter_word_counts.md', 'w') as m:\n", - " m.write(str(mkt.data))" - ], - "execution_count": 8, - "outputs": [] - } - ] -} \ No newline at end of file