add jupyter

failed_attempt_install_tensorflow.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "877811c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Defaulting to user installation because normal site-packages is not writeable\n",
+      "Collecting tensorflow==1.15.0\n",
+      "  Downloading tensorflow-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl (412.3 MB)\n",
+      "\u001b[K     |████████████████████████████████| 412.3 MB 25 kB/s eta 0:00:0165    |██                              | 24.8 MB 102 kB/s eta 1:03:11     |███▋                            | 46.6 MB 3.5 MB/s eta 0:01:45     |████▌                           | 57.8 MB 7.2 MB/s eta 0:00:49     |███████████▏                    | 143.7 MB 1.7 MB/s eta 0:02:42     |█████████████████▋              | 227.2 MB 1.2 MB/s eta 0:02:34     |███████████████████████▍        | 300.8 MB 502 kB/s eta 0:03:42     |████████████████████████▋       | 317.0 MB 2.8 MB/s eta 0:00:35     |█████████████████████████       | 323.2 MB 2.8 MB/s eta 0:00:32     |█████████████████████████████▍  | 378.4 MB 93 kB/s eta 0:06:05     |█████████████████████████████▌  | 379.4 MB 24 kB/s eta 0:22:15ta 0:12:52�██▍| 404.4 MB 29 kB/s eta 0:04:34\n",
+      "\u001b[33mWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError(\"HTTPSConnectionPool(host='pypi.org', port=443): Read timed out. (read timeout=15)\",)': /simple/keras/\u001b[0m\n",
+      "\u001b[?25hCollecting keras==2.2.5\n",
+      "  Downloading Keras-2.2.5-py2.py3-none-any.whl (336 kB)\n",
+      "\u001b[K     |████████████████████████████████| 336 kB 124 kB/s eta 0:00:01\n",
+      "\u001b[?25hRequirement already satisfied: wheel>=0.26 in /usr/lib/python3/dist-packages (from tensorflow==1.15.0) (0.30.0)\n",
+      "Collecting absl-py>=0.7.0\n",
+      "  Downloading absl_py-1.3.0-py3-none-any.whl (124 kB)\n",
+      "\u001b[K     |████████████████████████████████| 124 kB 109 kB/s eta 0:00:01\n",
+      "\u001b[?25hRequirement already satisfied: numpy<2.0,>=1.16.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.15.0) (1.16.2)\n",
+      "Collecting opt-einsum>=2.3.2\n",
+      "  Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n",
+      "\u001b[K     |████████████████████████████████| 65 kB 119 kB/s eta 0:00:01\n",
+      "\u001b[?25hProcessing /home/angeliki/.cache/pip/wheels/7c/06/54/bc84598ba1daf8f970247f550b175aaaee85f68b4b0c5ab2c6/termcolor-1.1.0-cp36-none-any.whl\n",
+      "Collecting gast==0.2.2\n",
+      "  Downloading gast-0.2.2.tar.gz (10 kB)\n",
+      "Collecting astor>=0.6.0\n",
+      "  Downloading astor-0.8.1-py2.py3-none-any.whl (27 kB)\n",
+      "Collecting keras-preprocessing>=1.0.5\n",
+      "  Downloading Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)\n",
+      "\u001b[K     |████████████████████████████████| 42 kB 123 kB/s eta 0:00:01\n",
+      "\u001b[?25hRequirement already satisfied: six>=1.10.0 in /usr/lib/python3/dist-packages (from tensorflow==1.15.0) (1.11.0)\n",
+      "Collecting google-pasta>=0.1.6\n",
+      "  Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)\n",
+      "\u001b[K     |████████████████████████████████| 57 kB 119 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting tensorboard<1.16.0,>=1.15.0\n",
+      "  Downloading tensorboard-1.15.0-py3-none-any.whl (3.8 MB)\n",
+      "\u001b[K     |████████████████████████████████| 3.8 MB 123 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting tensorflow-estimator==1.15.1\n",
+      "  Downloading tensorflow_estimator-1.15.1-py2.py3-none-any.whl (503 kB)\n",
+      "\u001b[K     |████████████████████████████████| 503 kB 129 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting grpcio>=1.8.6\n",
+      "  Downloading grpcio-1.48.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB)\n",
+      "\u001b[K     |████████████████████████████████| 4.6 MB 104 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting protobuf>=3.6.1\n",
+      "  Downloading protobuf-3.19.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)\n",
+      "\u001b[K     |████████████████████████████████| 1.1 MB 106 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting keras-applications>=1.0.8\n",
+      "  Downloading Keras_Applications-1.0.8-py3-none-any.whl (50 kB)\n",
+      "\u001b[K     |████████████████████████████████| 50 kB 104 kB/s ta 0:00:01\n",
+      "\u001b[?25hCollecting wrapt>=1.11.1\n",
+      "  Downloading wrapt-1.14.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (74 kB)\n",
+      "\u001b[K     |████████████████████████████████| 74 kB 123 kB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting h5py\n",
+      "  Downloading h5py-3.1.0-cp36-cp36m-manylinux1_x86_64.whl (4.0 MB)\n",
+      "\u001b[K     |████████████████████████████████| 4.0 MB 122 kB/s eta 0:00:01\n",
+      "\u001b[?25hRequirement already satisfied: scipy>=0.14 in /usr/local/lib/python3.6/dist-packages (from keras==2.2.5) (1.2.1)\n",
+      "Requirement already satisfied: pyyaml in /usr/lib/python3/dist-packages (from keras==2.2.5) (3.12)\n",
+      "Collecting setuptools>=41.0.0\n",
+      "  Using cached setuptools-59.6.0-py3-none-any.whl (952 kB)\n",
+      "Requirement already satisfied: markdown>=2.6.8 in /home/angeliki/.local/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.0) (3.3.7)\n",
+      "Requirement already satisfied: werkzeug>=0.11.15 in /home/angeliki/.local/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.0) (1.0.1)\n",
+      "Collecting cached-property; python_version < \"3.8\"\n",
+      "  Downloading cached_property-1.5.2-py2.py3-none-any.whl (7.6 kB)\n",
+      "Requirement already satisfied: importlib-metadata>=4.4; python_version < \"3.10\" in /home/angeliki/.local/lib/python3.6/site-packages (from markdown>=2.6.8->tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.0) (4.8.3)\n",
+      "Requirement already satisfied: typing-extensions>=3.6.4; python_version < \"3.8\" in /home/angeliki/.local/lib/python3.6/site-packages (from importlib-metadata>=4.4; python_version < \"3.10\"->markdown>=2.6.8->tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.0) (4.1.1)\n",
+      "Requirement already satisfied: zipp>=0.5 in /home/angeliki/.local/lib/python3.6/site-packages (from importlib-metadata>=4.4; python_version < \"3.10\"->markdown>=2.6.8->tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.0) (3.5.0)\n",
+      "Building wheels for collected packages: gast\n",
+      "  Building wheel for gast (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for gast: filename=gast-0.2.2-py3-none-any.whl size=7635 sha256=0fbcf07e73f4b08cdded16a5d95b5a9cc41515bd16f54b33e6e3e40311867af4\n",
+      "  Stored in directory: /home/angeliki/.cache/pip/wheels/19/a7/b9/0740c7a3a7d1d348f04823339274b90de25fbcd217b2ee1fbe\n",
+      "Successfully built gast\n",
+      "\u001b[31mERROR: launchpadlib 1.10.6 requires testresources, which is not installed.\u001b[0m\n",
+      "Installing collected packages: absl-py, opt-einsum, termcolor, gast, astor, keras-preprocessing, google-pasta, grpcio, setuptools, protobuf, tensorboard, tensorflow-estimator, cached-property, h5py, keras-applications, wrapt, tensorflow, keras\n",
+      "  Attempting uninstall: setuptools\n",
+      "    Found existing installation: setuptools 40.8.0\n",
+      "    Uninstalling setuptools-40.8.0:\n",
+      "      Successfully uninstalled setuptools-40.8.0\n",
+      "\u001b[31mERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device\n",
+      "\u001b[0m\n",
+      "\u001b[33mWARNING: You are using pip version 20.0.2; however, version 21.3.1 is available.\n",
+      "You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
+     ]
+    }
+   ],
+   "source": [
+    "import sys\n",
+    "!{sys.executable} -m pip install tensorflow==1.15.0 keras==2.2.5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31e0fc42",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "618fb0f8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

para_generator.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9e50b7b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "import time\n",
+    "import json\n",
+    "import wget\n",
+    "\n",
+    "url = \"https://pad.vvvvvvaria.org/any_one_day_this_dictionary_has_died/export/txt\"\n",
+    "wget.download(url, 'any_one_day_this_dictionary_has_died.json')\n",
+    " \n",
+    "with open('any_one_day_this_dictionary_has_died.json', 'r') as f:\n",
+    "         wordmord = json.loads(f.read().replace(\"'\", '\"'))\n",
+    "\n",
+    "#print(wordmord['death']['para-etymology'][0])\n",
+    "\n",
+    "sentence = input('give me your words / δώσε μου κείμενο: ')\n",
+    "\n",
+    "def makedemonic():\n",
+    "\tnew_sentence = sentence\n",
+    "\tfor word in wordmord:\n",
+    "\t\tif word in new_sentence:\n",
+    "\t\t\tnew_sentence = new_sentence.replace(word, random.choice(wordmord[word]['paramyms']))\n",
+    "\tprint(new_sentence)\n",
+    "\n",
+    "def makepara():\n",
+    "\tnew_sentence = sentence\n",
+    "\tfor word in wordmord:\n",
+    "\t\tif word in new_sentence:\n",
+    "\t\t\tnew_sentence = new_sentence.replace(word, random.choice(wordmord[word]['parameanings']))\n",
+    "\tprint(new_sentence)\n",
+    "\n",
+    "def makepira():\n",
+    "\tnew_sentence = sentence\n",
+    "\tfor word in wordmord:\n",
+    "\t\tif word in new_sentence:\n",
+    "\t\t\tnew_sentence = new_sentence.replace(word, random.choice(wordmord[word]['paradoxes']))\n",
+    "\tprint(new_sentence)\n",
+    "\n",
+    "\n",
+    "type = input('choose type of transformation / τύπος μετάλλαξης: ')\n",
+    "\n",
+    "if type == 'demonic':\n",
+    "\tmakedemonic()\n",
+    "elif type == 'para':\n",
+    "\tmakepara()\n",
+    "elif type == 'pira':\n",
+    "\tmakepira()\n",
+    "else:\n",
+    "\tmakedemonic()\n",
+    "\ttime.sleep(1)\n",
+    "\tmakepara()\n",
+    "\ttime.sleep(1)\n",
+    "\tmakepira()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2b7227d4",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "add48660",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}