From 173889f3d097c4f35f0beec25c7e7a490a4544dc Mon Sep 17 00:00:00 2001 From: Thomas Wood Date: Fri, 15 Sep 2023 21:59:09 +0100 Subject: [PATCH] Add downloader --- Burrows Delta Walkthrough.ipynb | 316 +++++++++++++++++++++++++------- src/faststylometry/__init__.py | 7 +- src/faststylometry/examples.py | 8 +- 3 files changed, 260 insertions(+), 71 deletions(-) diff --git a/Burrows Delta Walkthrough.ipynb b/Burrows Delta Walkthrough.ipynb index 0b467ba..eae1b5a 100644 --- a/Burrows Delta Walkthrough.ipynb +++ b/Burrows Delta Walkthrough.ipynb @@ -28,47 +28,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: faststylometry in /home/thomas/anaconda3/lib/python3.11/site-packages (1.0.2)\n", - "Requirement already satisfied: numpy==1.24.3 in /home/thomas/anaconda3/lib/python3.11/site-packages (from faststylometry) (1.24.3)\n", - "Requirement already satisfied: pandas==2.1.0 in /home/thomas/anaconda3/lib/python3.11/site-packages (from faststylometry) (2.1.0)\n", - "Requirement already satisfied: scikit-learn==1.3.0 in /home/thomas/anaconda3/lib/python3.11/site-packages (from faststylometry) (1.3.0)\n", - "Requirement already satisfied: wget==3.2 in /home/thomas/anaconda3/lib/python3.11/site-packages (from faststylometry) (3.2)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /home/thomas/anaconda3/lib/python3.11/site-packages (from pandas==2.1.0->faststylometry) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /home/thomas/anaconda3/lib/python3.11/site-packages (from pandas==2.1.0->faststylometry) (2022.7)\n", - "Requirement already satisfied: tzdata>=2022.1 in /home/thomas/anaconda3/lib/python3.11/site-packages (from pandas==2.1.0->faststylometry) (2023.3)\n", - "Requirement already satisfied: scipy>=1.5.0 in /home/thomas/anaconda3/lib/python3.11/site-packages (from scikit-learn==1.3.0->faststylometry) (1.10.1)\n", - "Requirement already satisfied: joblib>=1.1.1 in /home/thomas/anaconda3/lib/python3.11/site-packages (from scikit-learn==1.3.0->faststylometry) (1.2.0)\n", - "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/thomas/anaconda3/lib/python3.11/site-packages (from scikit-learn==1.3.0->faststylometry) (2.2.0)\n", - "Requirement already satisfied: six>=1.5 in /home/thomas/anaconda3/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas==2.1.0->faststylometry) (1.16.0)\n" - ] - } - ], + "outputs": [], "source": [ "!pip install faststylometry" ] }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "KeyboardInterrupt\n", - "\n" - ] - } - ], + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [], "source": [ "from faststylometry import Corpus\n", "\n", @@ -88,9 +61,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating folder data.\n", + "Downloading https://raw.githubusercontent.com/fastdatascience/faststylometry/main/data/train_test.zip to data/train_test.zip...\n", + "Downloaded https://raw.githubusercontent.com/fastdatascience/faststylometry/main/data/train_test.zip to data/train_test.zip.\n", + "Extracting...\n", + "Extracted contents of zip file to data\n" + ] + } + ], "source": [ "download_examples()" ] @@ -104,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -122,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -144,9 +129,84 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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currerbell - villettejanedoe - sense_and_sensibility
austen0.9830960.448317
bronte0.4905920.921175
carroll1.0486311.352221
conan_doyle0.8626931.017548
dickens0.7760890.990054
swift1.5051021.556724
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currerbell - villettejanedoe - sense_and_sensibility
austen0.2945510.779246
bronte0.7488570.348369
carroll0.2432440.087320
conan_doyle0.4030500.266803
dickens0.4882320.288813
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" + ], + "text/plain": [ + " currerbell - villette janedoe - sense_and_sensibility\n", + "austen 0.294551 0.779246\n", + "bronte 0.748857 0.348369\n", + "carroll 0.243244 0.087320\n", + "conan_doyle 0.403050 0.266803\n", + "dickens 0.488232 0.288813\n", + "swift 0.049404 0.040578" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "predict_proba(train_corpus, test_corpus)" ] @@ -187,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -199,9 +334,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "''" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.plot(x_values, train_corpus.probability_model.predict_proba(np.reshape(x_values, (-1, 1)))[:,1])\n", "plt.xlabel(\"Burrows delta\")\n", @@ -223,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "scrolled": true }, @@ -234,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -243,7 +399,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -252,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -261,7 +417,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -270,11 +426,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { "scrolled": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.figure()\n", "plt.plot(fpr, tpr, color='darkorange',\n", @@ -300,7 +467,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -311,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -322,7 +489,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -331,7 +498,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -340,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -349,7 +516,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -358,7 +525,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -367,7 +534,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -376,7 +543,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -386,9 +553,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Representation using PCA of works in training corpus')" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.figure(figsize=(15,15)) \n", "\n", diff --git a/src/faststylometry/__init__.py b/src/faststylometry/__init__.py index 81592e6..c614e30 100644 --- a/src/faststylometry/__init__.py +++ b/src/faststylometry/__init__.py @@ -29,9 +29,10 @@ __version__ = "1.0.3" -from faststylometry.burrows_delta import calculate_burrows_delta + from faststylometry.corpus import Corpus +from faststylometry.util import load_corpus_from_folder from faststylometry.en import tokenise_remove_pronouns_en -from faststylometry.examples import download_examples +from faststylometry.burrows_delta import calculate_burrows_delta from faststylometry.probability import predict_proba, calibrate, get_calibration_curve -from faststylometry.util import load_corpus_from_folder +from faststylometry.examples import download_examples \ No newline at end of file diff --git a/src/faststylometry/examples.py b/src/faststylometry/examples.py index 2bf27ac..962dc3c 100644 --- a/src/faststylometry/examples.py +++ b/src/faststylometry/examples.py @@ -51,7 +51,7 @@ def download_examples(): data_path = "data" is_folder_exists = os.path.exists(data_path) if not is_folder_exists: - print(f"Creating folder {data_path}.") + print(f"Creating folder {data_path} in current working directory.") # Create a new directory because it does not exist os.makedirs(data_path) @@ -65,13 +65,13 @@ def download_examples(): url = 'https://raw.githubusercontent.com/fastdatascience/faststylometry/main/data/train_test.zip' local_file = "data/train_test.zip" - print(f"Downloading {url} to {local_file}...") + print(f"Downloading {url} to {local_file} in current working directory...") wget.download(url, out=local_file, bar=bar_custom) - print(f"Downloaded {url} to {local_file}.\nExtracting...") + print(f"Downloaded {url} to {local_file}.\nExtracting to {data_path}...") with zipfile.ZipFile(local_file, 'r') as zip_ref: zip_ref.extractall(data_path) - print(f"Extracted contents of zip file to {data_path}") + print(f"Extracted contents of zip file to {data_path}.")