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diff --git a/text_analysis/020325_README_lda.jl b/text_analysis/020325_README_lda.jl
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diff --git a/text_analysis/020325_README_readability.csv b/text_analysis/020325_README_readability.csv
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diff --git a/text_analysis/020325_README_vectorizer.joblib b/text_analysis/020325_README_vectorizer.joblib
deleted file mode 100644
index 1b6d95d..0000000
Binary files a/text_analysis/020325_README_vectorizer.joblib and /dev/null differ
diff --git a/text_analysis/020425_corpus_subset.ipynb b/text_analysis/020425_corpus_subset.ipynb
new file mode 100644
index 0000000..187d7cc
--- /dev/null
+++ b/text_analysis/020425_corpus_subset.ipynb
@@ -0,0 +1,132 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os \n",
+    "import pandas as pd \n",
+    "import glob\n",
+    "import re\n",
+    "import statistics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "contributing_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/contributing_subset/\"\n",
+    "readme_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme_subset/\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def metadata_for_file(file):\n",
+    "    word_list = file.split()\n",
+    "    word_count = len(word_list)\n",
+    "    #print(word_list)\n",
+    "    if word_count == 0:\n",
+    "        avg_word_length = 0\n",
+    "    else: \n",
+    "        avg_word_length = sum(map(len, word_list))  / len(word_list)\n",
+    "    #return number of paragraphs\n",
+    "    return word_count, avg_word_length"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_data_from_dir(directory):\n",
+    "    files = glob.glob(f\"{directory}/*\")\n",
+    "    data_list = []\n",
+    "    word_counts = []\n",
+    "    avg_word_lengths = []\n",
+    "    file_list = []\n",
+    "    for file in files:\n",
+    "        text = open(file, encoding='utf-8', errors=\"ignore\").read()\n",
+    "        pattern = r'[^a-zA-Z0-9._-]'\n",
+    "        cleaned_text = re.sub(pattern, '', text)\n",
+    "        #here's some of the descriptive text analysis\n",
+    "        word_count, avg_word_length = metadata_for_file(text)\n",
+    "        word_counts.append(word_count)\n",
+    "        avg_word_lengths.append(avg_word_length)\n",
+    "        # README\n",
+    "        # 0.25     19.0\n",
+    "        if word_count < 20:\n",
+    "           os.remove(file)\n",
+    "        #data_list.append(text)\n",
+    "        #adding filename\n",
+    "        file_list.append(file)\n",
+    "    return data_list, word_counts, avg_word_lengths, file_list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "listed_corpus, wordcounts, wordlengths, file_list = get_data_from_dir(contributing_directory)\n",
+    "wordcount_series = pd.Series(wordcounts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.25     19.0\n",
+       "0.50     98.0\n",
+       "0.75    266.5\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#wordcount_series.quantile([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])\n",
+    "wordcount_series.quantile([ 0.25, 0.5, 0.75])\n",
+    "#less_than_20 = wordcount_series[wordcount_series < 200]\n",
+    "#len(less_than_20)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/text_analysis/020725_CONTRIBUTING_file_topic_distributions.csv b/text_analysis/020725_CONTRIBUTING_file_topic_distributions.csv
new file mode 100644
index 0000000..115f1b8
--- /dev/null
+++ b/text_analysis/020725_CONTRIBUTING_file_topic_distributions.csv
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diff --git a/text_analysis/020725_README_lda.jl b/text_analysis/020725_README_lda.jl
new file mode 100644
index 0000000..cc13712
Binary files /dev/null and b/text_analysis/020725_README_lda.jl differ
diff --git a/text_analysis/020725_README_vectorizer.joblib b/text_analysis/020725_README_vectorizer.joblib
new file mode 100644
index 0000000..7790a68
Binary files /dev/null and b/text_analysis/020725_README_vectorizer.joblib differ
diff --git a/text_analysis/contributingtopicModel.ipynb b/text_analysis/contributingtopicModel.ipynb
index 77e1ef3..5931a9a 100644
--- a/text_analysis/contributingtopicModel.ipynb
+++ b/text_analysis/contributingtopicModel.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "e09a84d6-cbd4-4a12-8e96-3775f734a262",
    "metadata": {},
    "outputs": [],
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "9483091c-ac72-415c-932d-ac7cf7970789",
    "metadata": {},
    "outputs": [],
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "196abd6a",
    "metadata": {},
    "outputs": [
@@ -59,7 +59,7 @@
        "True"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "3da6b590-875d-478d-aaaa-de020039c519",
    "metadata": {},
    "outputs": [],
@@ -88,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "60c137ae-6fe9-4b03-b899-6141b1645d6b",
    "metadata": {},
    "outputs": [],
@@ -107,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 17,
    "id": "2e674fef-adb4-48c9-86a0-a655c41a95f3",
    "metadata": {},
    "outputs": [],
@@ -119,7 +119,7 @@
     "    avg_word_lengths = []\n",
     "    file_list = []\n",
     "    for file in files:\n",
-    "        text = open(file, encoding='utf-8').read()\n",
+    "        text = open(file, encoding='utf-8', errors='ignore').read()\n",
     "        #here's some of the descriptive text analysis\n",
     "        word_count, avg_word_length = metadata_for_file(text)\n",
     "        word_counts.append(word_count)\n",
@@ -133,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "id": "2b332b10-bfc8-4566-8c52-19a8a334af00",
    "metadata": {},
    "outputs": [],
@@ -148,7 +148,7 @@
     "    #stripping markdown from documents\n",
     "    D = [strip_markdown(doc) for doc in D]\n",
     "    #strip html \n",
-    "    D = [re.sub(r'<!--.*?-->', '', doc, flags=re.DOTALL) for doc in D]\n",
+    "    D = [re.sub(r'<[^<]+?>', '', doc, flags=re.DOTALL) for doc in D]\n",
     "    #mvp right now, can certainly be expanded as iterations of text analysis are done\n",
     "    D = [[token for token in simple_preprocess(doc) if token not in stopwords and len(token) > 2]for doc in D]\n",
     "    lemmatizer = WordNetLemmatizer()\n",
@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "id": "2a26b7ef-d2df-4e1d-8aeb-66706ac6cbb7",
    "metadata": {},
    "outputs": [],
@@ -182,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "id": "24799e25-2c0c-4e16-b503-68296f604f52",
    "metadata": {},
    "outputs": [],
@@ -200,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 22,
    "id": "d3b5785f-8272-44f5-9aee-e5f5e97452e5",
    "metadata": {},
    "outputs": [],
@@ -216,20 +216,20 @@
     "        print('Topic: %d' % topic)\n",
     "        print('  %s' % ', '.join(words))\n",
     "    #lda.print_topics(num_words=10)\n",
-    "    joblib.dump(lda, '020125_CONTRIBUTING_lda.jl')\n",
+    "    joblib.dump(lda, '020725_CONTRIBUTING_lda.jl')\n",
     "    #lda = joblib.load('0509_lda.jl')\n",
     "    return id_topic"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "80bcdc6c-8a3d-4738-87b5-15e6c2db3a27",
    "metadata": {},
    "outputs": [],
    "source": [
     "def get_most_prevalent(vect_documents, documents):\n",
-    "    lda = joblib.load('020125_CONTRIBUTING_lda.jl')\n",
+    "    lda = joblib.load('020725_CONTRIBUTING_lda.jl')\n",
     "    distributions = lda.transform(vect_documents)\n",
     "    most_prevalent = {0: [0, \"\"],1: [0, \"\"], 2: [0, \"\"], 3: [0, \"\"], 4: [0, \"\"]}\n",
     "    for i, topic_distribution in enumerate(distributions):\n",
@@ -242,13 +242,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "id": "3afd27af-8e8f-43c0-8610-06f7a68d5aec",
    "metadata": {},
    "outputs": [],
    "source": [
     "def prevalent_topics(vect_documents, file_list):\n",
-    "    lda = joblib.load('020125_CONTRIBUTING_lda.jl')\n",
+    "    lda = joblib.load('020725_CONTRIBUTING_lda.jl')\n",
     "    #lda = joblib.load('0514_contrib_lda.jl')\n",
     "    distributions = lda.transform(vect_documents)\n",
     "    #figuring out what the max distribution is and then figuring out the mode\n",
@@ -267,7 +267,7 @@
     "    print(count_of_multiple)\n",
     "    df = pd.DataFrame(topic_arrays)\n",
     "    #finding the distribution values for all documents\n",
-    "    with open('020125_CONTRIBUTING_file_topic_distributions.csv', 'w', newline='') as csvfile:\n",
+    "    with open('020725_CONTRIBUTING_file_topic_distributions.csv', 'w', newline='') as csvfile:\n",
     "        fieldnames = ['filename', 't0', 't1', 't2', 't3', 't4']\n",
     "        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n",
     "        writer.writeheader()\n",
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "id": "5aefbafc-0c1b-409a-afbc-655e4cef91e3",
    "metadata": {},
    "outputs": [],
@@ -313,17 +313,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 14,
    "id": "69d606fd",
    "metadata": {},
    "outputs": [],
    "source": [
-    "contributing_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/contributing/\""
+    "contributing_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/contributing/\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "id": "1f937c2e-2714-475d-b670-602164c46642",
    "metadata": {},
    "outputs": [
@@ -331,10 +331,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean wordcount:  357.8979020979021\n",
-      "Median wordcount:  225\n",
-      "Mean wordlength:  6.345704522542385\n",
-      "Median wordlength:  5.778551532033426\n"
+      "Mean wordcount:  384.64285714285717\n",
+      "Median wordcount:  239.5\n",
+      "Mean wordlength:  6.307962000946226\n",
+      "Median wordlength:  5.78616765377696\n"
      ]
     }
    ],
@@ -349,17 +349,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "e90e236f-8db5-40cc-88a3-60e674b9d1de",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['020125_CONTRIBUTING_vectorizer.joblib']"
+       "['020725_CONTRIBUTING_vectorizer.joblib']"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -373,24 +373,24 @@
     "                         token_pattern='[a-zA-Z0-9]{2,}',  \n",
     "                        )\n",
     "data_vectorized = vectorizer.fit_transform(lemmatized_corpus)\n",
-    "joblib.dump(vectorizer, '020125_CONTRIBUTING_vectorizer.joblib')\n",
-    "'''"
+    "joblib.dump(vectorizer, '020725_CONTRIBUTING_vectorizer.joblib')\n",
+    "'''\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
    "id": "d68aaf7b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "vectorizer = joblib.load('020125_CONTRIBUTING_vectorizer.joblib')\n",
+    "vectorizer = joblib.load('020725_CONTRIBUTING_vectorizer.joblib')\n",
     "data_vectorized = vectorizer.transform(lemmatized_corpus)  "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "id": "dd1a70c2",
    "metadata": {},
    "outputs": [
@@ -400,78 +400,78 @@
      "text": [
       "Fitting 5 folds for each of 6 candidates, totalling 30 fits\n",
       "[CV 1/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=5..........\n",
-      "[CV 1/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-196851.911 total time=   2.1s\n",
+      "[CV 1/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-200697.595 total time=   2.1s\n",
       "[CV 2/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=5..........\n",
-      "[CV 2/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-168250.194 total time=   2.0s\n",
+      "[CV 2/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-188050.624 total time=   1.9s\n",
       "[CV 3/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=5..........\n",
-      "[CV 3/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-180223.622 total time=   2.0s\n",
+      "[CV 3/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-198388.926 total time=   2.0s\n",
       "[CV 4/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=5..........\n",
-      "[CV 4/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-183729.380 total time=   2.0s\n",
+      "[CV 4/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-175647.281 total time=   2.0s\n",
       "[CV 5/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=5..........\n",
-      "[CV 5/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-174617.480 total time=   2.0s\n",
+      "[CV 5/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=5;, score=-197357.360 total time=   1.9s\n",
       "[CV 1/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=5..........\n",
-      "[CV 1/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-197553.780 total time=   2.0s\n",
+      "[CV 1/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-200062.948 total time=   1.8s\n",
       "[CV 2/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=5..........\n",
-      "[CV 2/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-168410.434 total time=   1.9s\n",
+      "[CV 2/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-189020.534 total time=   2.1s\n",
       "[CV 3/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=5..........\n",
-      "[CV 3/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-180343.045 total time=   2.0s\n",
+      "[CV 3/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-198536.096 total time=   2.0s\n",
       "[CV 4/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=5..........\n",
-      "[CV 4/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-182641.089 total time=   1.9s\n",
+      "[CV 4/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-174922.177 total time=   1.9s\n",
       "[CV 5/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=5..........\n",
-      "[CV 5/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-174709.936 total time=   1.9s\n",
+      "[CV 5/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=5;, score=-198347.478 total time=   2.0s\n",
       "[CV 1/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=5..........\n",
-      "[CV 1/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-196647.084 total time=   1.9s\n",
+      "[CV 1/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-201076.179 total time=   2.0s\n",
       "[CV 2/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=5..........\n",
-      "[CV 2/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-168704.239 total time=   1.9s\n",
+      "[CV 2/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-186886.696 total time=   1.9s\n",
       "[CV 3/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=5..........\n",
-      "[CV 3/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-180953.203 total time=   2.0s\n",
+      "[CV 3/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-198604.914 total time=   2.0s\n",
       "[CV 4/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=5..........\n",
-      "[CV 4/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-183528.875 total time=   2.0s\n",
+      "[CV 4/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-174897.611 total time=   1.9s\n",
       "[CV 5/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=5..........\n",
-      "[CV 5/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-174199.789 total time=   1.9s\n",
+      "[CV 5/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=5;, score=-197182.965 total time=   1.8s\n",
       "[CV 1/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=5..........\n",
-      "[CV 1/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-197018.748 total time=   2.0s\n",
+      "[CV 1/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-200563.084 total time=   2.0s\n",
       "[CV 2/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=5..........\n",
-      "[CV 2/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-169232.243 total time=   2.1s\n",
+      "[CV 2/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-188161.145 total time=   2.0s\n",
       "[CV 3/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=5..........\n",
-      "[CV 3/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-179211.983 total time=   1.8s\n",
+      "[CV 3/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-198652.481 total time=   2.0s\n",
       "[CV 4/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=5..........\n",
-      "[CV 4/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-184133.365 total time=   2.0s\n",
+      "[CV 4/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-174929.908 total time=   2.0s\n",
       "[CV 5/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=5..........\n",
-      "[CV 5/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-173599.255 total time=   1.9s\n",
+      "[CV 5/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=5;, score=-197878.194 total time=   2.0s\n",
       "[CV 1/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=5..........\n",
-      "[CV 1/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-196318.238 total time=   2.0s\n",
+      "[CV 1/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-199602.928 total time=   1.9s\n",
       "[CV 2/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=5..........\n",
-      "[CV 2/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-168220.802 total time=   2.0s\n",
+      "[CV 2/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-189209.363 total time=   2.0s\n",
       "[CV 3/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=5..........\n",
-      "[CV 3/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-179868.443 total time=   2.0s\n",
+      "[CV 3/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-196801.716 total time=   1.7s\n",
       "[CV 4/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=5..........\n",
-      "[CV 4/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-183635.089 total time=   2.0s\n",
+      "[CV 4/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-175165.578 total time=   2.0s\n",
       "[CV 5/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=5..........\n",
-      "[CV 5/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-174366.279 total time=   1.9s\n",
+      "[CV 5/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=5;, score=-197366.525 total time=   1.9s\n",
       "[CV 1/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=5..........\n",
-      "[CV 1/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-198572.375 total time=   2.1s\n",
+      "[CV 1/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-200731.419 total time=   2.0s\n",
       "[CV 2/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=5..........\n",
-      "[CV 2/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-168368.889 total time=   2.0s\n",
+      "[CV 2/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-187607.034 total time=   1.9s\n",
       "[CV 3/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=5..........\n",
-      "[CV 3/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-180544.446 total time=   2.0s\n",
+      "[CV 3/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-198327.802 total time=   2.0s\n",
       "[CV 4/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=5..........\n",
-      "[CV 4/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-183649.566 total time=   1.9s\n",
+      "[CV 4/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-175918.789 total time=   2.0s\n",
       "[CV 5/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=5..........\n",
-      "[CV 5/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-174712.347 total time=   1.9s\n",
+      "[CV 5/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=5;, score=-198321.886 total time=   2.0s\n",
       "Best Model's Params:  {'batch_size': 256, 'learning_decay': 0.7, 'n_components': 5}\n",
-      "Best Log Likelihood Score:  -180481.7700481068\n",
-      "Model Perplexity:  876.0922389848871\n"
+      "Best Log Likelihood Score:  -191629.22199429374\n",
+      "Model Perplexity:  904.7791908675838\n"
      ]
     }
    ],
    "source": [
-    "#lda_model_identification(data_vectorized)"
+    "lda_model_identification(data_vectorized)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "id": "aa83d20f",
    "metadata": {},
    "outputs": [
@@ -480,20 +480,20 @@
      "output_type": "stream",
      "text": [
       "Topic: 0\n",
-      "  test, new, function, example, style, file, make, build, command, version\n",
+      "  http, project, git, bug, scipy, contributing, request, pull, issue, contribute\n",
       "Topic: 1\n",
-      "  test, issue, request, pull, bug, http, feature, git, make, install\n",
+      "  build, function, style, make, file, command, test, used, option, variable\n",
       "Topic: 2\n",
-      "  git, test, branch, change, commit, make, request, pull, release, master\n",
+      "  issue, request, pull, change, bug, feature, branch, git, project, make\n",
       "Topic: 3\n",
-      "  contribution, license, project, open, submit, developer, right, contributor, sign, patch\n",
+      "  license, contribution, patch, project, submit, test, open, sign, agreement, change\n",
       "Topic: 4\n",
-      "  issue, request, pull, bug, project, change, contributing, contribution, feature, open\n"
+      "  test, git, make, install, version, doc, http, change, release, commit\n"
      ]
     }
    ],
    "source": [
-    "#topic_distributions = best_lda_model(data_vectorized, vectorizer.get_feature_names_out())"
+    "topic_distributions = best_lda_model(data_vectorized, vectorizer.get_feature_names_out())"
    ]
   },
   {
diff --git a/text_analysis/readmetopicModel.ipynb b/text_analysis/readmetopicModel.ipynb
index 4b31ce4..480151c 100644
--- a/text_analysis/readmetopicModel.ipynb
+++ b/text_analysis/readmetopicModel.ipynb
@@ -35,34 +35,17 @@
     "from sklearn.model_selection import GridSearchCV\n",
     "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
     "\n",
-    "from statistics import mode"
+    "from statistics import mode\n",
+    "\n",
+    "from collections import defaultdict"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "id": "196abd6a",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[nltk_data] Downloading package wordnet to\n",
-      "[nltk_data]     /home/SOC.NORTHWESTERN.EDU/nws8519/nltk_data...\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "#import nltk\n",
     "#nltk.download('wordnet')"
@@ -70,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "3da6b590-875d-478d-aaaa-de020039c519",
    "metadata": {},
    "outputs": [],
@@ -87,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "id": "60c137ae-6fe9-4b03-b899-6141b1645d6b",
    "metadata": {},
    "outputs": [],
@@ -101,12 +84,12 @@
     "    else: \n",
     "        avg_word_length = sum(map(len, word_list))  / len(word_list)\n",
     "    #return number of paragraphs\n",
-    "    return word_count, avg_word_length"
+    "    return word_count, avg_word_length, word_list"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 17,
    "id": "2e674fef-adb4-48c9-86a0-a655c41a95f3",
    "metadata": {},
    "outputs": [],
@@ -117,22 +100,25 @@
     "    word_counts = []\n",
     "    avg_word_lengths = []\n",
     "    file_list = []\n",
+    "    files_word_lists = defaultdict(list)\n",
     "    for file in files:\n",
     "        text = open(file, encoding='utf-8', errors='ignore').read()\n",
     "        #here's some of the descriptive text analysis\n",
-    "        word_count, avg_word_length = metadata_for_file(text)\n",
+    "        word_count, avg_word_length, word_list = metadata_for_file(text)\n",
     "        word_counts.append(word_count)\n",
     "        avg_word_lengths.append(avg_word_length)\n",
     "        #adding the data to the list of text\n",
+    "        if word_count > 0:\n",
+    "            files_word_lists[tuple(word_list)].append(file)\n",
     "        data_list.append(text)\n",
     "        #adding filename\n",
     "        file_list.append(file)\n",
-    "    return data_list, word_counts, avg_word_lengths, file_list"
+    "    return data_list, word_counts, avg_word_lengths, file_list, "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "2b332b10-bfc8-4566-8c52-19a8a334af00",
    "metadata": {},
    "outputs": [],
@@ -147,7 +133,7 @@
     "    #stripping markdown from documents\n",
     "    D = [strip_markdown(doc) for doc in D]\n",
     "    #strip html \n",
-    "    D = [re.sub(r'<!--.*?-->', '', doc, flags=re.DOTALL) for doc in D]\n",
+    "    D = [re.sub(r'<[^<]+?>', '', doc, flags=re.DOTALL) for doc in D]\n",
     "    #mvp right now, can certainly be expanded as iterations of text analysis are done\n",
     "    D = [[token for token in simple_preprocess(doc) if token not in stopwords and len(token) > 2]for doc in D]\n",
     "    lemmatizer = WordNetLemmatizer()\n",
@@ -157,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "2a26b7ef-d2df-4e1d-8aeb-66706ac6cbb7",
    "metadata": {},
    "outputs": [],
@@ -181,14 +167,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "24799e25-2c0c-4e16-b503-68296f604f52",
    "metadata": {},
    "outputs": [],
    "source": [
     "def lda_model_identification(data_vectorized):\n",
     "    lda = LatentDirichletAllocation()\n",
-    "    search_params = {'n_components': [11], 'learning_decay': [.5, .7, .9], 'batch_size' : [128, 256]  }\n",
+    "    search_params = {'n_components': [9], 'learning_decay': [.5, .7, .9], 'batch_size' : [128, 256]  }\n",
     "    model = GridSearchCV(lda, param_grid=search_params, verbose=10)\n",
     "    model.fit(data_vectorized)\n",
     "    best_lda_model = model.best_estimator_\n",
@@ -199,13 +185,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 22,
    "id": "d3b5785f-8272-44f5-9aee-e5f5e97452e5",
    "metadata": {},
    "outputs": [],
    "source": [
     "def best_lda_model(data_vectorized, vocab):\n",
-    "    lda = LatentDirichletAllocation(n_components=11, learning_decay = 0.9, batch_size = 256, max_iter = 50)\n",
+    "    lda = LatentDirichletAllocation(n_components=9, learning_decay = 0.7, batch_size = 128, max_iter = 50)\n",
     "    id_topic = lda.fit_transform(data_vectorized)\n",
     "    topic_words = {}\n",
     "    for topic, comp in enumerate(lda.components_):\n",
@@ -222,17 +208,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 31,
    "id": "80bcdc6c-8a3d-4738-87b5-15e6c2db3a27",
    "metadata": {},
    "outputs": [],
    "source": [
     "def get_most_prevalent(vect_documents, documents):\n",
-    "    lda = joblib.load('020325_README_lda.jl')\n",
+    "    lda = joblib.load('020725_README_lda.jl')\n",
     "    distributions = lda.transform(vect_documents)\n",
-    "    most_prevalent = {0: [0, \"\"],1: [0, \"\"], 2: [0, \"\"], 3: [0, \"\"], 4: [0, \"\"], 5: [0, \"\"], 6: [0, \"\"], 7: [0, \"\"], 8: [0, \"\"], 9: [0, \"\"], 10: [0, \"\"]}\n",
+    "    most_prevalent = {0: [0, \"\"],1: [0, \"\"], 2: [0, \"\"], 3: [0, \"\"], 4: [0, \"\"], 5: [0, \"\"], 6: [0, \"\"], 7: [0, \"\"], 8: [0, \"\"]}\n",
     "    for i, topic_distribution in enumerate(distributions):\n",
-    "        for j in range(11):\n",
+    "        for j in range(9):\n",
     "            if topic_distribution[j] > most_prevalent[j][0]:\n",
     "                most_prevalent[j] = [topic_distribution[j], documents[i]]\n",
     "    print(most_prevalent)\n",
@@ -241,13 +227,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 35,
    "id": "3afd27af-8e8f-43c0-8610-06f7a68d5aec",
    "metadata": {},
    "outputs": [],
    "source": [
     "def prevalent_topics(vect_documents, file_list):\n",
-    "    lda = joblib.load('020325_README_lda.jl')\n",
+    "    lda = joblib.load('020725_README_lda.jl')\n",
     "    #lda = joblib.load('0514_contrib_lda.jl')\n",
     "    distributions = lda.transform(vect_documents)\n",
     "    #figuring out what the max distribution is and then figuring out the mode\n",
@@ -266,19 +252,19 @@
     "    print(count_of_multiple)\n",
     "    df = pd.DataFrame(topic_arrays)\n",
     "    #finding the distribution values for all documents\n",
-    "    with open('020325_README_file_topic_distributions.csv', 'w', newline='') as csvfile:\n",
-    "        fieldnames = ['filename', 't0', 't1', 't2', 't3', 't4', 't5', 't6', 't7', 't8', 't9', 't10']\n",
+    "    with open('020725_README_file_topic_distributions.csv', 'w', newline='') as csvfile:\n",
+    "        fieldnames = ['filename', 't0', 't1', 't2', 't3', 't4', 't5', 't6', 't7', 't8']\n",
     "        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)\n",
     "        writer.writeheader()\n",
     "        for i, row in df.iterrows():\n",
     "            project_dir =  {}\n",
     "            project_dir['filename'] = file_list[i].split(\"/\")[-1]\n",
     "            array_row = df.iloc[i].to_numpy()\n",
-    "            for j in range(11):\n",
+    "            for j in range(9):\n",
     "                project_dir[\"t\" + str(j)] = array_row[j]\n",
     "            writer.writerow(project_dir)\n",
     "    #print(df.sort_values(by=['0']).head(5))\n",
-    "    for i in range(11):\n",
+    "    for i in range(9):\n",
     "        print(\"-----------------------Topic \" + str(i) + \" --------------------------------\")\n",
     "        top5 = df.nlargest(10, i)\n",
     "        top_indices = top5.index.to_list()\n",
@@ -317,12 +303,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "readme_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/\""
+    "readme_directory = \"/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 18,
    "id": "1f937c2e-2714-475d-b670-602164c46642",
    "metadata": {},
    "outputs": [
@@ -330,10 +316,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mean wordcount:  271.6877796091359\n",
-      "Median wordcount:  98\n",
-      "Mean wordlength:  6.063122274716372\n",
-      "Median wordlength:  5.841269841269841\n"
+      "Mean wordcount:  324.0929957406531\n",
+      "Median wordcount:  156.0\n",
+      "Mean wordlength:  6.354120246310486\n",
+      "Median wordlength:  5.950514528900827\n"
      ]
     },
     {
@@ -346,7 +332,7 @@
     }
    ],
    "source": [
-    "listed_corpus, wordcounts, wordlengths, file_list = get_data_from_dir(readme_directory)\n",
+    "listed_corpus, wordcounts, wordlengths, file_list= get_data_from_dir(readme_directory)\n",
     "print(\"Mean wordcount: \", mean(wordcounts))\n",
     "print(\"Median wordcount: \", median(wordcounts))\n",
     "print(\"Mean wordlength: \", mean(wordlengths))\n",
@@ -356,17 +342,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "e90e236f-8db5-40cc-88a3-60e674b9d1de",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['020325_README_vectorizer.joblib']"
+       "['020725_README_vectorizer.joblib']"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -381,24 +367,24 @@
     "                         token_pattern='[a-zA-Z0-9]{2,}',  \n",
     "                        )\n",
     "data_vectorized = vectorizer.fit_transform(lemmatized_corpus)\n",
-    "joblib.dump(vectorizer, '020325_README_vectorizer.joblib')\n",
+    "joblib.dump(vectorizer, '020725_README_vectorizer.joblib')\n",
     "'''\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 20,
    "id": "d68aaf7b",
    "metadata": {},
    "outputs": [],
    "source": [
-    "vectorizer = joblib.load('020325_README_vectorizer.joblib')\n",
+    "vectorizer = joblib.load('020725_README_vectorizer.joblib')\n",
     "data_vectorized = vectorizer.transform(lemmatized_corpus)  "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 21,
    "id": "dd1a70c2",
    "metadata": {},
    "outputs": [
@@ -407,69 +393,69 @@
      "output_type": "stream",
      "text": [
       "Fitting 5 folds for each of 6 candidates, totalling 30 fits\n",
-      "[CV 1/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=11.........\n",
-      "[CV 1/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=11;, score=-1005863.489 total time=  10.2s\n",
-      "[CV 2/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=11.........\n",
-      "[CV 2/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=11;, score=-1011357.156 total time=  10.0s\n",
-      "[CV 3/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=11.........\n",
-      "[CV 3/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=11;, score=-1015386.424 total time=  10.0s\n",
-      "[CV 4/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=11.........\n",
-      "[CV 4/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=11;, score=-965023.515 total time=  10.3s\n",
-      "[CV 5/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=11.........\n",
-      "[CV 5/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=11;, score=-994223.612 total time=   9.9s\n",
-      "[CV 1/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=11.........\n",
-      "[CV 1/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=11;, score=-1006613.702 total time=   9.9s\n",
-      "[CV 2/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=11.........\n",
-      "[CV 2/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=11;, score=-1013817.544 total time=   9.9s\n",
-      "[CV 3/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=11.........\n",
-      "[CV 3/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=11;, score=-1015692.660 total time=  10.0s\n",
-      "[CV 4/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=11.........\n",
-      "[CV 4/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=11;, score=-966771.244 total time=  10.4s\n",
-      "[CV 5/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=11.........\n",
-      "[CV 5/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=11;, score=-995596.978 total time=  10.3s\n",
-      "[CV 1/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=11.........\n",
-      "[CV 1/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=11;, score=-1005180.172 total time=  10.0s\n",
-      "[CV 2/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=11.........\n",
-      "[CV 2/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=11;, score=-1015590.801 total time=  10.6s\n",
-      "[CV 3/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=11.........\n",
-      "[CV 3/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=11;, score=-1018907.455 total time=  11.1s\n",
-      "[CV 4/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=11.........\n",
-      "[CV 4/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=11;, score=-964714.891 total time=  14.5s\n",
-      "[CV 5/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=11.........\n",
-      "[CV 5/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=11;, score=-996172.263 total time=  13.9s\n",
-      "[CV 1/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=11.........\n",
-      "[CV 1/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=11;, score=-1006251.961 total time=  13.9s\n",
-      "[CV 2/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=11.........\n",
-      "[CV 2/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=11;, score=-1016869.369 total time=  14.0s\n",
-      "[CV 3/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=11.........\n",
-      "[CV 3/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=11;, score=-1017346.297 total time=  14.2s\n",
-      "[CV 4/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=11.........\n",
-      "[CV 4/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=11;, score=-964440.209 total time=  13.9s\n",
-      "[CV 5/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=11.........\n",
-      "[CV 5/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=11;, score=-997104.875 total time=  14.1s\n",
-      "[CV 1/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=11.........\n",
-      "[CV 1/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=11;, score=-1005428.337 total time=  13.9s\n",
-      "[CV 2/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=11.........\n",
-      "[CV 2/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=11;, score=-1013241.313 total time=  14.0s\n",
-      "[CV 3/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=11.........\n",
-      "[CV 3/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=11;, score=-1014764.423 total time=  13.6s\n",
-      "[CV 4/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=11.........\n",
-      "[CV 4/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=11;, score=-964830.614 total time=  14.3s\n",
-      "[CV 5/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=11.........\n",
-      "[CV 5/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=11;, score=-996764.609 total time=  14.0s\n",
-      "[CV 1/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=11.........\n",
-      "[CV 1/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=11;, score=-1004883.859 total time=  13.6s\n",
-      "[CV 2/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=11.........\n",
-      "[CV 2/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=11;, score=-1007656.712 total time=  13.5s\n",
-      "[CV 3/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=11.........\n",
-      "[CV 3/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=11;, score=-1015740.335 total time=  14.0s\n",
-      "[CV 4/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=11.........\n",
-      "[CV 4/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=11;, score=-966718.005 total time=  13.8s\n",
-      "[CV 5/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=11.........\n",
-      "[CV 5/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=11;, score=-996819.504 total time=  13.8s\n",
-      "Best Model's Params:  {'batch_size': 256, 'learning_decay': 0.9, 'n_components': 11}\n",
-      "Best Log Likelihood Score:  -998363.6828381404\n",
-      "Model Perplexity:  2076.905945051809\n"
+      "[CV 1/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=9..........\n",
+      "[CV 1/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=9;, score=-1158862.039 total time=  17.6s\n",
+      "[CV 2/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=9..........\n",
+      "[CV 2/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=9;, score=-1121276.805 total time=  12.0s\n",
+      "[CV 3/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=9..........\n",
+      "[CV 3/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=9;, score=-1058330.478 total time=  12.6s\n",
+      "[CV 4/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=9..........\n",
+      "[CV 4/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=9;, score=-1169073.807 total time=  12.7s\n",
+      "[CV 5/5; 1/6] START batch_size=128, learning_decay=0.5, n_components=9..........\n",
+      "[CV 5/5; 1/6] END batch_size=128, learning_decay=0.5, n_components=9;, score=-1308701.275 total time=  11.9s\n",
+      "[CV 1/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=9..........\n",
+      "[CV 1/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=9;, score=-1157991.152 total time=  11.8s\n",
+      "[CV 2/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=9..........\n",
+      "[CV 2/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=9;, score=-1120570.803 total time=  11.7s\n",
+      "[CV 3/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=9..........\n",
+      "[CV 3/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=9;, score=-1055699.316 total time=  12.4s\n",
+      "[CV 4/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=9..........\n",
+      "[CV 4/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=9;, score=-1168297.207 total time=  11.7s\n",
+      "[CV 5/5; 2/6] START batch_size=128, learning_decay=0.7, n_components=9..........\n",
+      "[CV 5/5; 2/6] END batch_size=128, learning_decay=0.7, n_components=9;, score=-1307949.520 total time=  12.4s\n",
+      "[CV 1/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=9..........\n",
+      "[CV 1/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=9;, score=-1157830.351 total time=  11.7s\n",
+      "[CV 2/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=9..........\n",
+      "[CV 2/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=9;, score=-1124221.589 total time=  11.8s\n",
+      "[CV 3/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=9..........\n",
+      "[CV 3/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=9;, score=-1056916.516 total time=  12.0s\n",
+      "[CV 4/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=9..........\n",
+      "[CV 4/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=9;, score=-1169168.331 total time=  12.9s\n",
+      "[CV 5/5; 3/6] START batch_size=128, learning_decay=0.9, n_components=9..........\n",
+      "[CV 5/5; 3/6] END batch_size=128, learning_decay=0.9, n_components=9;, score=-1308175.234 total time=  12.5s\n",
+      "[CV 1/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=9..........\n",
+      "[CV 1/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=9;, score=-1158540.475 total time=  12.2s\n",
+      "[CV 2/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=9..........\n",
+      "[CV 2/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=9;, score=-1120071.919 total time=  11.8s\n",
+      "[CV 3/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=9..........\n",
+      "[CV 3/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=9;, score=-1061777.082 total time=  12.3s\n",
+      "[CV 4/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=9..........\n",
+      "[CV 4/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=9;, score=-1170380.631 total time=  11.6s\n",
+      "[CV 5/5; 4/6] START batch_size=256, learning_decay=0.5, n_components=9..........\n",
+      "[CV 5/5; 4/6] END batch_size=256, learning_decay=0.5, n_components=9;, score=-1307034.410 total time=  11.6s\n",
+      "[CV 1/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=9..........\n",
+      "[CV 1/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=9;, score=-1156265.357 total time=  13.2s\n",
+      "[CV 2/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=9..........\n",
+      "[CV 2/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=9;, score=-1121786.140 total time=  11.8s\n",
+      "[CV 3/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=9..........\n",
+      "[CV 3/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=9;, score=-1060299.402 total time=  12.5s\n",
+      "[CV 4/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=9..........\n",
+      "[CV 4/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=9;, score=-1174913.458 total time=  12.1s\n",
+      "[CV 5/5; 5/6] START batch_size=256, learning_decay=0.7, n_components=9..........\n",
+      "[CV 5/5; 5/6] END batch_size=256, learning_decay=0.7, n_components=9;, score=-1305421.859 total time=  11.6s\n",
+      "[CV 1/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=9..........\n",
+      "[CV 1/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=9;, score=-1158280.857 total time=  12.0s\n",
+      "[CV 2/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=9..........\n",
+      "[CV 2/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=9;, score=-1117369.387 total time=  11.5s\n",
+      "[CV 3/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=9..........\n",
+      "[CV 3/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=9;, score=-1058230.568 total time=  12.0s\n",
+      "[CV 4/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=9..........\n",
+      "[CV 4/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=9;, score=-1171980.166 total time=  11.9s\n",
+      "[CV 5/5; 6/6] START batch_size=256, learning_decay=0.9, n_components=9..........\n",
+      "[CV 5/5; 6/6] END batch_size=256, learning_decay=0.9, n_components=9;, score=-1305822.528 total time=  11.3s\n",
+      "Best Model's Params:  {'batch_size': 128, 'learning_decay': 0.7, 'n_components': 9}\n",
+      "Best Log Likelihood Score:  -1162101.5996668166\n",
+      "Model Perplexity:  2176.5064559983784\n"
      ]
     }
    ],
@@ -479,7 +465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 23,
    "id": "aa83d20f",
    "metadata": {},
    "outputs": [
@@ -488,27 +474,23 @@
      "output_type": "stream",
      "text": [
       "Topic: 0\n",
-      "  test, library, object, google, include, class, interface, using, build, example\n",
+      "  image, data, key, file, color, option, support, format, default, mode\n",
       "Topic: 1\n",
-      "  server, client, option, command, network, device, port, support, interface, default\n",
+      "  data, test, library, object, implementation, support, packet, used, byte, class\n",
       "Topic: 2\n",
-      "  value, function, string, data, object, return, type, table, method, error\n",
+      "  license, copyright, perl, gnu, free, version, module, public, general, warranty\n",
       "Topic: 3\n",
-      "  install, build, make, package, configure, debian, git, need, directory, gnome\n",
+      "  test, value, function, return, method, class, string, type, object, example\n",
       "Topic: 4\n",
-      "  obj, filter, stream, length, type, page, count, parent, max, resource\n",
+      "  http, git, server, install, client, request, test, version, project, command\n",
       "Topic: 5\n",
-      "  window, mode, color, game, key, menu, default, size, button, sound\n",
+      "  json, node, require, string, parser, var, object, parse, function, font\n",
       "Topic: 6\n",
-      "  file, directory, path, install, make, command, default, version, option, usr\n",
+      "  command, output, option, process, make, program, script, tool, file, linux\n",
       "Topic: 7\n",
-      "  license, version, gnu, http, public, free, general, copyright, project, install\n",
+      "  table, html, tag, text, django, xml, example, path, template, default\n",
       "Topic: 8\n",
-      "  model, django, url, module, password, key, import, request, date, add\n",
-      "Topic: 9\n",
-      "  library, file, version, make, module, perl, support, makefile, image, program\n",
-      "Topic: 10\n",
-      "  html, git, copyright, license, copy, text, json, example, new, install\n"
+      "  install, make, build, library, version, directory, file, package, window, project\n"
      ]
     }
    ],
@@ -518,7 +500,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 33,
    "id": "f4345bd6",
    "metadata": {},
    "outputs": [
@@ -526,37 +508,33 @@
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+       " 8: [0.9976094391943828,\n",
+       "  '/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3815_swami_swami_README.OSX']}"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -567,7 +545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 36,
    "id": "23468e82",
    "metadata": {},
    "outputs": [
@@ -575,755 +553,619 @@
      "name": "stdout",
      "output_type": "stream",
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       "-----------------------Topic 2 --------------------------------\n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3572_Xastir_Xastir.git_README.1ST\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1212_smbolton_whysynth.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3148_enova_pg_fact_loader.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1620_kilobyte_qjoypad_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3159_epam_nfstrace_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3471_iortcw_iortcw.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2080_mrabarnett_mrab-regex_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3900_EsotericSoftware_kryo.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3091_AFLplusplus_AFLplusplus.git_README\n",
       "-----------------------Topic 3 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "1363  0.000739  0.000739  0.000739  0.992609  0.000739  0.000739  0.000739   \n",
-      "339   0.000805  0.000805  0.000805  0.991954  0.000805  0.000805  0.000805   \n",
-      "4200  0.000805  0.000805  0.000805  0.991954  0.000805  0.000805  0.000805   \n",
-      "3897  0.000819  0.000819  0.000819  0.991810  0.000819  0.000819  0.000819   \n",
-      "1693  0.000819  0.000819  0.000819  0.991810  0.000819  0.000819  0.000819   \n",
-      "1464  0.000850  0.000850  0.000850  0.991503  0.000850  0.000850  0.000850   \n",
-      "3669  0.000850  0.000850  0.000850  0.991503  0.000850  0.000850  0.000850   \n",
-      "1157  0.000978  0.000978  0.000978  0.990224  0.000978  0.000978  0.000978   \n",
-      "1825  0.000988  0.000988  0.000988  0.990118  0.000988  0.000988  0.000988   \n",
-      "3919  0.000988  0.000988  0.000988  0.990118  0.000988  0.000988  0.000988   \n",
+      "             0         1         2         3         4         5         6  \\\n",
+      "4184  0.000413  0.000413  0.000413  0.996694  0.000413  0.000413  0.000413   \n",
+      "634   0.000585  0.000585  0.000585  0.995319  0.000585  0.000585  0.000585   \n",
+      "541   0.001059  0.001059  0.001059  0.991531  0.001058  0.001059  0.001059   \n",
+      "4086  0.001069  0.001069  0.001069  0.991448  0.001069  0.001069  0.001069   \n",
+      "337   0.000043  0.000042  0.033554  0.966149  0.000042  0.000042  0.000043   \n",
+      "1082  0.000108  0.000108  0.038632  0.960609  0.000108  0.000108  0.000108   \n",
+      "3436  0.000214  0.000214  0.000214  0.953378  0.000214  0.045126  0.000214   \n",
+      "3099  0.000483  0.000483  0.000483  0.945309  0.030232  0.000483  0.000483   \n",
+      "168   0.000204  0.000204  0.016534  0.944392  0.037848  0.000204  0.000204   \n",
+      "805   0.000420  0.000419  0.000420  0.939900  0.057163  0.000420  0.000419   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "1363  0.000739  0.000739  0.000739  0.000739  \n",
-      "339   0.000805  0.000805  0.000805  0.000805  \n",
-      "4200  0.000805  0.000805  0.000805  0.000805  \n",
-      "3897  0.000819  0.000819  0.000819  0.000819  \n",
-      "1693  0.000819  0.000819  0.000819  0.000819  \n",
-      "1464  0.000850  0.000850  0.000850  0.000850  \n",
-      "3669  0.000850  0.000850  0.000850  0.000850  \n",
-      "1157  0.000978  0.000978  0.000978  0.000978  \n",
-      "1825  0.000988  0.000988  0.000988  0.000988  \n",
-      "3919  0.000988  0.000988  0.000988  0.000988  \n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mate-desktop_mate-panel.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mate-desktop_mate-desktop.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/linuxmint_cinnamon-desktop.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mate-desktop_mate-menus.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/linuxmint_cinnamon-menus.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mate-desktop_mate-screensaver.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/linuxmint_cinnamon-screensaver.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/GNOME_libgudev_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mate-desktop_mate-session-manager.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/linuxmint_cinnamon-session.git_hullabaloo_README\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "734   0.000018  0.009437  0.000018  0.000018  0.000018  0.273398  0.000018   \n",
-      "3299  0.000019  0.000019  0.000019  0.000019  0.999813  0.000019  0.000019   \n",
-      "375   0.117647  0.046106  0.014596  0.000024  0.000024  0.131388  0.000024   \n",
-      "3275  0.007322  0.141429  0.000032  0.000032  0.297121  0.451645  0.000032   \n",
-      "3771  0.000033  0.000033  0.346634  0.000033  0.000033  0.000033  0.000033   \n",
-      "2081  0.000039  0.278867  0.041405  0.000039  0.663507  0.000039  0.015947   \n",
-      "3589  0.000043  0.000043  0.625379  0.000043  0.001690  0.093226  0.000043   \n",
-      "831   0.000043  0.000043  0.150073  0.000043  0.000043  0.842702  0.000043   \n",
-      "3483  0.000044  0.767987  0.136634  0.000044  0.009711  0.000044  0.000044   \n",
-      "2060  0.236422  0.000045  0.312054  0.000045  0.365046  0.000045  0.000045   \n",
+      "             7         8  \n",
+      "4184  0.000413  0.000413  \n",
+      "634   0.000585  0.000585  \n",
+      "541   0.001058  0.001059  \n",
+      "4086  0.001069  0.001069  \n",
+      "337   0.000043  0.000043  \n",
+      "1082  0.000108  0.000108  \n",
+      "3436  0.000214  0.000214  \n",
+      "3099  0.000483  0.021559  \n",
+      "168   0.000204  0.000204  \n",
+      "805   0.000419  0.000420  \n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3097_sharplispers_split-sequence_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3251_eproxus_meck.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1044_wolever_parameterized_README.rst\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2204_easystats_parameters.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/800_jazzband_inflect.git_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/4060_perl5-utils_Params-Util_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/629_hamcrest_PyHamcrest_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/4064_testing-cabal_mock_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3817_webmozart_assert_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1432_fluxx_exam_README.rst\n",
+      "             0         1         2         3         4         5         6  \\\n",
+      "3966  0.029730  0.000035  0.000035  0.000035  0.000035  0.000035  0.674307   \n",
+      "3355  0.044710  0.035340  0.279984  0.000040  0.000040  0.019913  0.122916   \n",
+      "3251  0.000040  0.000040  0.000040  0.000040  0.000040  0.000040  0.000040   \n",
+      "964   0.089514  0.000043  0.006234  0.000043  0.000043  0.071786  0.043128   \n",
+      "2865  0.508832  0.000047  0.000047  0.000047  0.000047  0.000047  0.038802   \n",
+      "3870  0.312524  0.017558  0.065654  0.000051  0.032472  0.000051  0.098971   \n",
+      "3366  0.196719  0.041714  0.043868  0.000061  0.309832  0.000061  0.306935   \n",
+      "1239  0.133374  0.866158  0.000067  0.000067  0.000067  0.000067  0.000067   \n",
+      "2205  0.306048  0.030212  0.382652  0.000073  0.018162  0.071704  0.032824   \n",
+      "1183  0.281059  0.000077  0.000077  0.000077  0.000077  0.007434  0.000077   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "734   0.008753  0.000018  0.690342  0.017963  \n",
-      "3299  0.000019  0.000019  0.000019  0.000019  \n",
-      "375   0.000024  0.000024  0.004995  0.685147  \n",
-      "3275  0.000032  0.000032  0.102291  0.000032  \n",
-      "3771  0.000033  0.000033  0.653065  0.000033  \n",
-      "2081  0.000039  0.000039  0.000039  0.000039  \n",
-      "3589  0.000043  0.000043  0.279405  0.000043  \n",
-      "831   0.003522  0.000043  0.003402  0.000043  \n",
-      "3483  0.000044  0.000044  0.085361  0.000044  \n",
-      "2060  0.000045  0.000045  0.078141  0.008067  \n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/audacity_audacity.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/sqlmapproject_sqlmap.git_hullabaloo_README.pdf\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/bluca_gsl_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/smbolton_whysynth.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jazzband_inflect.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/epam_nfstrace_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/GNOME_genius_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jmtd_wadc_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/OpenPrinting_foomatic-db.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/EsotericSoftware_kryo.git_hullabaloo_README.md\n",
+      "             7         8  \n",
+      "3966  0.000035  0.295755  \n",
+      "3355  0.333160  0.163897  \n",
+      "3251  0.999676  0.000040  \n",
+      "964   0.000043  0.789164  \n",
+      "2865  0.000047  0.452085  \n",
+      "3870  0.455920  0.016799  \n",
+      "3366  0.000061  0.100750  \n",
+      "1239  0.000067  0.000067  \n",
+      "2205  0.045686  0.112640  \n",
+      "1183  0.000077  0.711047  \n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3572_Xastir_Xastir.git_README.1ST\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/934_AlDanial_cloc.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3148_enova_pg_fact_loader.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/963_OpenTTD_OpenTTD.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1620_kilobyte_qjoypad_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1926_darold_ora2pg.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1611_arno-iptables-firewall_aif.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/554_memtest86plus_memtest86plus.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2225_JamesHeinrich_getID3_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/362_mate-desktop_marco.git_README\n",
       "-----------------------Topic 4 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "3299  0.000019  0.000019  0.000019  0.000019  0.999813  0.000019  0.000019   \n",
-      "226   0.010102  0.010103  0.010104  0.010103  0.898973  0.010103  0.010103   \n",
-      "1042  0.022732  0.022729  0.022732  0.022727  0.772689  0.022727  0.022735   \n",
-      "4129  0.030303  0.030303  0.030303  0.030308  0.696963  0.030303  0.030303   \n",
-      "3097  0.030303  0.030303  0.030303  0.030303  0.696961  0.030303  0.030303   \n",
-      "2081  0.000039  0.278867  0.041405  0.000039  0.663507  0.000039  0.015947   \n",
-      "3127  0.018183  0.018183  0.018182  0.018184  0.606181  0.018182  0.018184   \n",
-      "2259  0.045455  0.045455  0.045455  0.045455  0.545455  0.045455  0.045455   \n",
-      "1226  0.045455  0.045455  0.045455  0.045455  0.545452  0.045455  0.045455   \n",
-      "2953  0.045455  0.045456  0.045455  0.045456  0.545443  0.045455  0.045456   \n",
+      "             0         1         2         3         4         5         6  \\\n",
+      "331   0.000467  0.000467  0.000467  0.000467  0.996263  0.000467  0.000467   \n",
+      "3569  0.000601  0.000601  0.000601  0.000601  0.995193  0.000601  0.000601   \n",
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+      "1350  0.001135  0.001135  0.001134  0.001135  0.990924  0.001135  0.001135   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "3299  0.000019  0.000019  0.000019  0.000019  \n",
-      "226   0.010101  0.010104  0.010102  0.010102  \n",
-      "1042  0.022732  0.022735  0.022731  0.022730  \n",
-      "4129  0.030305  0.030303  0.030303  0.030303  \n",
-      "3097  0.030303  0.030303  0.030303  0.030311  \n",
-      "2081  0.000039  0.000039  0.000039  0.000039  \n",
-      "3127  0.230172  0.018182  0.018184  0.018183  \n",
-      "2259  0.045455  0.045455  0.045455  0.045455  \n",
-      "1226  0.045455  0.045455  0.045457  0.045455  \n",
-      "2953  0.045455  0.045455  0.045456  0.045459  \n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/sqlmapproject_sqlmap.git_hullabaloo_README.pdf\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/egh_ledger-autosync_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/fcitx_fcitx-libpinyin_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ukui_ukui-indicators_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ukui_ukui-sidebar_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/epam_nfstrace_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/phihag_ipaddress_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jpy-consortium_jpy_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ntop_nDPI.git_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ejeschke_ginga.git_hullabaloo_README.rst\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "734   0.000018  0.009437  0.000018  0.000018  0.000018  0.273398  0.000018   \n",
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+      "             0         1         2         3         4         5         6  \\\n",
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       "\n",
-      "            7         8         9         10  \n",
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       "-----------------------Topic 5 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
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+      "             0         1         2         3         4         5         6  \\\n",
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       "\n",
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+      "             7         8  \n",
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+      "             0         1         2         3         4         5         6  \\\n",
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+      "             7         8  \n",
+      "3795  0.131447  0.000015  \n",
+      "3966  0.000035  0.295755  \n",
+      "3648  0.000038  0.156749  \n",
+      "3251  0.999676  0.000040  \n",
+      "337   0.000043  0.000043  \n",
+      "2865  0.000047  0.452085  \n",
+      "1537  0.000049  0.391008  \n",
+      "3870  0.455920  0.016799  \n",
+      "1149  0.000052  0.000052  \n",
+      "802   0.000055  0.000055  \n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2616_bluca_gsl_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3572_Xastir_Xastir.git_README.1ST\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1212_smbolton_whysynth.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3148_enova_pg_fact_loader.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/800_jazzband_inflect.git_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1620_kilobyte_qjoypad_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3471_iortcw_iortcw.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1926_darold_ora2pg.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2080_mrabarnett_mrab-regex_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3900_EsotericSoftware_kryo.git_README.md\n",
       "-----------------------Topic 6 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "289   0.000215  0.000215  0.000215  0.000215  0.000215  0.000215  0.997846   \n",
-      "1141  0.001122  0.001122  0.001122  0.001122  0.001122  0.001122  0.988775   \n",
-      "2865  0.001421  0.001421  0.001421  0.001421  0.001420  0.001421  0.985794   \n",
-      "2572  0.001653  0.001653  0.001653  0.001653  0.001653  0.001653  0.983470   \n",
-      "1750  0.001894  0.001894  0.001894  0.001894  0.001894  0.001894  0.981059   \n",
-      "510   0.003247  0.003247  0.003247  0.003247  0.003247  0.003247  0.967528   \n",
-      "2034  0.003497  0.003497  0.003497  0.003497  0.003497  0.003497  0.965033   \n",
-      "291   0.003789  0.003788  0.003788  0.003788  0.003788  0.003788  0.962118   \n",
-      "156   0.004133  0.004133  0.004133  0.004133  0.004132  0.004132  0.958675   \n",
-      "3778  0.005682  0.005682  0.005682  0.005682  0.005682  0.005682  0.943176   \n",
+      "             0         1         2         3         4         5         6  \\\n",
+      "1893  0.004116  0.004116  0.004116  0.004116  0.004119  0.004116  0.967068   \n",
+      "2605  0.000456  0.000456  0.000456  0.000456  0.000456  0.031675  0.965135   \n",
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+      "2446  0.004630  0.004630  0.004630  0.004630  0.004634  0.004630  0.962953   \n",
+      "4152  0.004630  0.004630  0.004630  0.004630  0.004634  0.004630  0.962953   \n",
+      "371   0.005053  0.005053  0.005053  0.005051  0.005053  0.005052  0.959573   \n",
+      "1589  0.006946  0.006946  0.006947  0.006945  0.006947  0.006945  0.944423   \n",
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+      "3995  0.056876  0.000100  0.000100  0.000100  0.000100  0.000100  0.942423   \n",
+      "3135  0.007414  0.007415  0.007409  0.007414  0.007411  0.007411  0.940706   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "289   0.000215  0.000215  0.000215  0.000215  \n",
-      "1141  0.001122  0.001122  0.001123  0.001122  \n",
-      "2865  0.001421  0.001421  0.001421  0.001421  \n",
-      "2572  0.001653  0.001653  0.001653  0.001653  \n",
-      "1750  0.001894  0.001894  0.001894  0.001894  \n",
-      "510   0.003248  0.003247  0.003247  0.003247  \n",
-      "2034  0.003497  0.003497  0.003497  0.003497  \n",
-      "291   0.003788  0.003788  0.003788  0.003788  \n",
-      "156   0.004132  0.004132  0.004133  0.004132  \n",
-      "3778  0.005683  0.005682  0.005683  0.005683  \n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/wanderlust_semi_hullabaloo_README.en\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ActiveState_appdirs.git_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/df7cb_sdate_hullabaloo_README.fake\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/gosa-project_gosa-core_hullabaloo_README.safemode\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/tkf_emacs-python-environment.git_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/hhatto_autopep8.git_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/skk-dev_skktools_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/ganglia_ganglia-modules-linux.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/zevv_duc_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/slicer69_sysvinit_hullabaloo_README\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "734   0.000018  0.009437  0.000018  0.000018  0.000018  0.273398  0.000018   \n",
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-      "3589  0.000043  0.000043  0.625379  0.000043  0.001690  0.093226  0.000043   \n",
+      "             7         8  \n",
+      "1893  0.004116  0.004117  \n",
+      "2605  0.000456  0.000456  \n",
+      "2308  0.004630  0.004631  \n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1617_kodi-pvr_pvr.iptvsimple.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1607_ppentchev_feature-check_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2577_kodi-pvr_pvr.dvbviewer.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2363_kodi-pvr_pvr.hdhomerun.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3414_kodi-pvr_pvr.njoy.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3527_hackerschoice_THC-Archive_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2455_tcolar_wmfrog_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2103_aperezdc_signify.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/119_linux-thinkpad_tp_smapi_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3587_igaw_jitterdebugger.git_README\n",
+      "             0         1         2         3         4         5         6  \\\n",
+      "3597  0.520753  0.030707  0.076996  0.009554  0.064448  0.004423  0.000021   \n",
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+      "1239  0.133374  0.866158  0.000067  0.000067  0.000067  0.000067  0.000067   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "734   0.008753  0.000018  0.690342  0.017963  \n",
-      "1319  0.000018  0.000018  0.000018  0.000018  \n",
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-      "1435  0.005478  0.006674  0.061303  0.000038  \n",
-      "3589  0.000043  0.000043  0.279405  0.000043  \n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/audacity_audacity.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/andrikos_kismet-debian_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/sqlmapproject_sqlmap.git_hullabaloo_README.pdf\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/bluca_gsl_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/suds-community_suds.git_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/smbolton_whysynth.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/enova_pg_fact_loader.git_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jazzband_inflect.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/iortcw_iortcw.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/GNOME_genius_hullabaloo_README\n",
+      "             7         8  \n",
+      "3597  0.000021  0.293076  \n",
+      "3648  0.000038  0.156749  \n",
+      "3027  0.717508  0.000039  \n",
+      "3251  0.999676  0.000040  \n",
+      "337   0.000043  0.000043  \n",
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+      "802   0.000055  0.000055  \n",
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+      "661   0.000066  0.000066  \n",
+      "1239  0.000067  0.000067  \n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3624_audacity_audacity.git_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1212_smbolton_whysynth.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3140_resurrecting-open-source-projects_txt2html_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3148_enova_pg_fact_loader.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/800_jazzband_inflect.git_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2080_mrabarnett_mrab-regex_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3900_EsotericSoftware_kryo.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2523_jeancroy_fuzzaldrin-plus_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1675_ronsavage_GraphViz.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/554_memtest86plus_memtest86plus.git_README.md\n",
       "-----------------------Topic 7 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
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-      "1265  0.000777  0.000777  0.000777  0.000777  0.000777  0.000777  0.000777   \n",
-      "2103  0.000812  0.000812  0.000812  0.000812  0.000812  0.000812  0.000812   \n",
-      "4023  0.000834  0.000834  0.000834  0.000834  0.000834  0.000834  0.000834   \n",
+      "             0         1         2         3         4         5         6  \\\n",
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       "\n",
-      "            7         8         9         10  \n",
-      "1146  0.995431  0.000457  0.000457  0.000457  \n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/horde_imp.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/horde_kronolith.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/tkem_mopidy-dleyna.git_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mopidy_mopidy-alsamixer_hullabaloo_README.rst\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/horde_sesha.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/mopidy_mopidy-mpris.git_hullabaloo_README.rst\n",
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+      "             7         8  \n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/356_wanderlust_apel_README.en\n",
+      "             0         1         2         3         4         5         6  \\\n",
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+      "802   0.000055  0.850160  0.000055  0.149458  0.000055  0.000055  0.000055   \n",
       "\n",
-      "            7         8         9         10  \n",
-      "1319  0.000018  0.000018  0.000018  0.000018  \n",
-      "3299  0.000019  0.000019  0.000019  0.000019  \n",
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-      "3483  0.000044  0.000044  0.085361  0.000044  \n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/smbolton_whysynth.git_hullabaloo_README\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jazzband_inflect.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/epam_nfstrace_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/GNOME_genius_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/OpenPrinting_foomatic-db.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/EsotericSoftware_kryo.git_hullabaloo_README.md\n",
+      "             7         8  \n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3572_Xastir_Xastir.git_README.1ST\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1212_smbolton_whysynth.git_README\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/800_jazzband_inflect.git_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/963_OpenTTD_OpenTTD.git_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/1620_kilobyte_qjoypad_README.txt\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3159_epam_nfstrace_README\n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2080_mrabarnett_mrab-regex_README.md\n",
+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/3900_EsotericSoftware_kryo.git_README.md\n",
       "-----------------------Topic 8 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
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-      "2315  0.012988  0.012987  0.012988  0.012987  0.012987  0.012988  0.012988   \n",
+      "             0         1         2         3         4         5         6  \\\n",
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+      "3084  0.000642  0.000642  0.000642  0.000643  0.000642  0.000643  0.000643   \n",
       "\n",
-      "            7         8         9         10  \n",
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-      "2315  0.012987  0.870125  0.012988  0.012987  \n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/bestpractical_rt-extension-repeatticket_hullabaloo_README.pod\n",
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-      "            0         1         2         3         4         5         6   \\\n",
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+      "             7         8  \n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/2954_core_dune-localfunctions_README\n",
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+      "/data/users/mgaughan/kkex/012825_cam_revision_main/lagged_files/readme/305_staging_dune-typetree_README.GIT\n",
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+      "             0         1         2         3         4         5         6  \\\n",
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       "\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/andrikos_kismet-debian_hullabaloo_README\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/bluca_gsl_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/Xastir_Xastir.git_hullabaloo_README.1ST\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/darold_ora2pg.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/smbolton_whysynth.git_hullabaloo_README\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/enova_pg_fact_loader.git_hullabaloo_README.md\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/jazzband_inflect.git_hullabaloo_README.txt\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/epam_nfstrace_hullabaloo_README\n",
-      "-----------------------Topic 9 --------------------------------\n",
-      "            0         1         2         3         4         5         6   \\\n",
-      "4236  0.000083  0.000083  0.000083  0.000083  0.000083  0.000083  0.000083   \n",
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-      "\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/sebastianbergmann_php-invoker_hullabaloo_README.markdown\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/sebastianbergmann_php-file-iterator_hullabaloo_README.markdown\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/bobtfish_directory-scratch.git_hullabaloo_README\n",
-      "            0         1         2         3         4         5         6   \\\n",
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-      "\n",
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-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/GNOME_evolution_hullabaloo_README.TXT\n",
-      "/data/users/mgaughan/kkex/012825_cam_revision_main/final_data/first_version_documents/readme/punitagrawal_global_hullabaloo_README\n",
-      "-----------------------Topic 10 --------------------------------\n",
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