RAG_Pipeline.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "##Extracting articles from wikipedia\n",
        "\n",
        "> Indented block\n",
        "\n"
      ],
      "metadata": {
        "id": "vckgVNrUNLOU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gD9OLe3FdsSw",
        "outputId": "5ea7b89c-e75e-468f-d9c3-03005effd886"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "subtopics = [\n",
        "    \"Mechanical Properties of solid\",\n",
        "    \"Stress and strain\",\n",
        "    \"Hooke’s law\",\n",
        "    \"Stress-strain curve\",\n",
        "    \"Elastic moduli\",\n",
        "    \"Applications of elastic behaviour of materials\",\n",
        "    \"Pressure\",\n",
        "    \"Streamline flow\",\n",
        "    \"Bernoulli’s principle\",\n",
        "    \"Viscosity\",\n",
        "    \"Surface tension\",\n",
        "    \"Temperature and heat\",\n",
        "    \"Measurement of temperature\",\n",
        "    \"Ideal-gas equation and absolute temperature\",\n",
        "    \"Thermal expansion\",\n",
        "    \"Specific heat capacity\",\n",
        "    \"Calorimetry\",\n",
        "    \"Change of state\",\n",
        "    \"Heat transfer\",\n",
        "    \"Newton’s law of cooling\",\n",
        "    \"Thermal equilibrium\",\n",
        "    \"Zeroth law of Thermodynamics\",\n",
        "    \"Heat, internal energy and work\",\n",
        "    \"First law of thermodynamics\",\n",
        "    \"Specific heat capacity\",\n",
        "    \"Thermodynamic state variables and equation of state\",\n",
        "    \"Thermodynamic processes\",\n",
        "    \"Second law of thermodynamics\",\n",
        "    \"Reversible and irreversible processes\",\n",
        "    \"Carnot engine\",\n",
        "    \"Molecular nature of matter\",\n",
        "    \"Behaviour of gases\",\n",
        "    \"Kinetic theory of an ideal gas\",\n",
        "    \"Law of equipartition of energy\",\n",
        "    \"Specific heat capacity\",\n",
        "    \"Mean free path\",\n",
        "    \"OSCILLATIONS\",\n",
        "    \"Periodic and oscillatory motions\",\n",
        "    \"Simple harmonic motion\",\n",
        "    \"Simple harmonic motion and uniform circular motion\",\n",
        "    \"Velocity and acceleration in simple harmonic motion\",\n",
        "    \"Force law for simple harmonic motion\",\n",
        "    \"Energy in simple harmonic motion\",\n",
        "    \"The simple pendulum\",\n",
        "    \"waves\",\n",
        "    \"Transverse and longitudinal waves\",\n",
        "    \"Displacement relation in a progressive wave\",\n",
        "    \"The speed of a travelling wave\",\n",
        "    \"The principle of superposition of waves\",\n",
        "    \"Reflection of waves\",\n",
        "    \"Beats\",\n",
        "     \"The international system of units\",\n",
        "    \"Significant figures\",\n",
        "    \"Dimensions of physical quantities\",\n",
        "    \"Dimensional formulae and dimensional equations\",\n",
        "    \"Dimensional analysis and its applications\",\n",
        "    \"Instantaneous velocity and speed\",\n",
        "    \"Acceleration\",\n",
        "    \"Kinematic equations for uniformly accelerated motion\",\n",
        "    \"Relative velocity\",\n",
        "    \"Scalars and vectors\",\n",
        "    \"Multiplication of vectors by real numbers\",\n",
        "    \"Addition and subtraction of vectors — graphical method\",\n",
        "    \"Resolution of vectors\",\n",
        "    \"Vector addition — analytical method\",\n",
        "    \"Motion in a plane\",\n",
        "    \"Motion in a plane with constant acceleration\",\n",
        "    \"Projectile motion\",\n",
        "    \"Uniform circular motion\",\n",
        "    \"Aristotle\\'s fallacy\",\n",
        "    \"The law of inertia\",\n",
        "    \"Newton\\'s first law of motion\",\n",
        "    \"Newton\\'s second law of motion\",\n",
        "    \"Newton\\'s third law of motion\",\n",
        "    \"Conservation of momentum\",\n",
        "    \"Equilibrium of a particle\",\n",
        "    \"Common forces in mechanics\",\n",
        "    \"Circular motion\",\n",
        "    \"Solving problems in mechanics\",\n",
        "    \"Notions of work and kinetic energy: The work-energy theorem\",\n",
        "    \"Work\",\n",
        "    \"Kinetic energy\",\n",
        "    \"Work done by a variable force\",\n",
        "    \"The work-energy theorem for a variable force\",\n",
        "    \"The concept of potential energy\",\n",
        "    \"The conservation of mechanical energy\",\n",
        "    \"The potential energy of a spring\",\n",
        "    \"Power\",\n",
        "    \"Collisions\",\n",
        "    \"Centre of mass\",\n",
        "    \"Motion of centre of mass\",\n",
        "    \"Linear momentum of a system of particles\",\n",
        "    \"Vector product of two vectors\",\n",
        "    \"Angular velocity and its relation with linear velocity\",\n",
        "    \"Torque and angular momentum\",\n",
        "    \"Equilibrium of a rigid body\",\n",
        "    \"Moment of inertia\",\n",
        "    \"Kinematics of rotational motion about a fixed axis\",\n",
        "    \"Dynamics of rotational motion about a fixed axis\",\n",
        "    \"Angular momentum in case of rotation about a fixed axis\",\n",
        "    \"Kepler\\'s laws\",\n",
        "    \"Universal law of gravitation\",\n",
        "    \"The gravitational constant\",\n",
        "    \"Acceleration due to gravity of the earth\",\n",
        "    \"Acceleration due to gravity below and above the surface of earth\",\n",
        "    \"Gravitational potential energy\",\n",
        "    \"Escape speed\",\n",
        "    \"Earth satellites\",\n",
        "    \"Energy of an orbiting satellite\"\n",
        "]"
      ],
      "metadata": {
        "id": "7pEUH_WGqTv3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "subtopics_class_12 = [\n",
        "  \"Electric Charge\",\n",
        "    \"Conductors and Insulators\",\n",
        "    \"Basic Properties of Electric Charge\",\n",
        "    \"Coulomb’s Law\",\n",
        "    \"Forces between Multiple Charges\",\n",
        "    \"Electric Field\",\n",
        "    \"Electric Field Lines\",\n",
        "    \"Electric Flux\",\n",
        "    \"Electric Dipole\",\n",
        "    \"Dipole in a Uniform External Field\",\n",
        "    \"Continuous Charge Distribution\",\n",
        "    \"Gauss’s Law\",\n",
        "    \"Applications of Gauss’s Law\",\n",
        "  \"Electrostatic Potential\",\n",
        "    \"Potential due to a Point Charge\",\n",
        "    \"Potential due to an Electric Dipole\",\n",
        "    \"Potential due to a System of Charges\",\n",
        "    \"Equipotential Surfaces\",\n",
        "    \"Potential Energy of a System of Charges\",\n",
        "    \"Potential Energy in an External Field\",\n",
        "    \"Electrostatics of Conductors\",\n",
        "    \"Dielectrics and Polarisation\",\n",
        "    \"Capacitors and Capacitance\",\n",
        "    \"The Parallel Plate Capacitor\",\n",
        "    \"Effect of Dielectric on Capacitance\",\n",
        "    \"Combination of Capacitors\",\n",
        "    \"Energy Stored in a Capacitor\",\n",
        "  \"Electric Current\",\n",
        "    \"Electric Currents in Conductors\",\n",
        "    \"Ohm’s law\",\n",
        "    \"Drift of Electrons and the Origin of Resistivity\",\n",
        "    \"Limitations of Ohm’s Law\",\n",
        "    \"Resistivity of Various Materials\",\n",
        "    \"Temperature Dependence of Resistivity\",\n",
        "    \"Electrical Energy, Power\",\n",
        "    \"Cells, emf, Internal Resistance\",\n",
        "    \"Cells in Series and in Parallel\",\n",
        "    \"Kirchhoff’s Rules\",\n",
        "    \"Wheatstone Bridge\",\n",
        "    \"Magnetic Force\",\n",
        "    \"Motion in a Magnetic Field\",\n",
        "    \"Magnetic Field due to a Current Element, Biot-Savart Law\",\n",
        "    \"Magnetic Field on the Axis of a Circular Current Loop\",\n",
        "    \"Ampere’s Circuital Law\",\n",
        "    \"The Solenoid\",\n",
        "    \"Force between Two Parallel Currents, the Ampere\",\n",
        "    \"Torque on Current Loop, Magnetic Dipole\",\n",
        "    \"The Moving Coil Galvanometer\",\n",
        "    \"The Bar Magnet\",\n",
        "    \"Magnetism and Gauss’s Law\",\n",
        "    \"Magnetisation and Magnetic Intensity\",\n",
        "    \"Magnetic Properties of Materials\",\n",
        "    \"The Experiments of Faraday and Henry\",\n",
        "    \"Magnetic Flux\",\n",
        "    \"Faraday’s Law of Induction\",\n",
        "    \"Lenz’s Law and Conservation of Energy\",\n",
        "    \"Motional Electromotive Force\",\n",
        "    \"Inductance\",\n",
        "    \"AC Generator\",\n",
        "    \"AC Voltage Applied to a Resistor\",\n",
        "    \"Representation of AC Current and Voltage by Rotating Vectors — Phasors\",\n",
        "    \"AC Voltage Applied to an Inductor\",\n",
        "    \"AC Voltage Applied to a Capacitor\",\n",
        "    \"AC Voltage Applied to a Series LCR Circuit\",\n",
        "    \"Power in AC Circuit: The Power Factor\",\n",
        "    \"Transformers\",\n",
        "    \"Displacement Current\",\n",
        "    \"Electromagnetic Waves\",\n",
        "    \"Electromagnetic Spectrum\",\n",
        "    \"Reflection of Light by Spherical Mirrors\",\n",
        "    \"Refraction\",\n",
        "    \"Total Internal Reflection\",\n",
        "    \"Refraction at Spherical Surfaces and by Lenses\",\n",
        "    \"Refraction through a Prism\",\n",
        "    \"Optical Instruments\",\n",
        "    \"Huygens Principle\",\n",
        "    \"Refraction and Reflection of Plane Waves using Huygens Principle\",\n",
        "    \"Coherent and Incoherent Addition of Waves\",\n",
        "    \"Interference of Light Waves and Young’s Experiment\",\n",
        "    \"Diffraction\",\n",
        "    \"Polarisation\",\n",
        "    \"Photoelectric Effect\",\n",
        "    \"Experimental Study of Photoelectric Effect\",\n",
        "    \"Photoelectric Effect and Wave Theory of Light\",\n",
        "    \"Einstein’s Photoelectric Equation: Energy Quantum of Radiation\",\n",
        "    \"Particle Nature of Light: The Photon\",\n",
        "    \"Wave Nature of Matter\",\n",
        "    \"Electron Emission\",\n",
        "    \"Alpha-particle Scattering and Rutherford’s Nuclear Model of Atom\",\n",
        "    \"Atomic Spectra\",\n",
        "    \"Bohr Model of the Hydrogen Atom\",\n",
        "    \"The Line Spectra of the Hydrogen Atom\",\n",
        "    \"DE Broglie’s Explanation of Bohr’s Second Postulate of Quantisation\",\n",
        "    \"Atomic Masses and Composition of Nucleus\",\n",
        "    \"Size of the Nucleus\",\n",
        "    \"Mass-Energy and Nuclear Binding Energy\",\n",
        "    \"Nuclear Force\",\n",
        "    \"Radioactivity\",\n",
        "    \"Nuclear Energy\",\n",
        "    \"p-n Junction\",\n",
        "    \"Semiconductor Diode\",\n",
        "    \"Application of Junction Diode as a Rectifier\",\n",
        "    \"Classification of Metals, Conductors and Semiconductors\",\n",
        "    \"Intrinsic Semiconductor\",\n",
        "    \"Extrinsic Semiconductor\"\n",
        "]"
      ],
      "metadata": {
        "id": "P-xRNKB0rUey"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install wikipedia"
      ],
      "metadata": {
        "id": "Q7cFlql3wftb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f23baf61-04c7-4d02-8451-55c392993f75"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting wikipedia\n",
            "  Downloading wikipedia-1.4.0.tar.gz (27 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/dist-packages (from wikipedia) (4.11.2)\n",
            "Requirement already satisfied: requests<3.0.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from wikipedia) (2.27.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (1.26.16)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.4)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->wikipedia) (2.4.1)\n",
            "Building wheels for collected packages: wikipedia\n",
            "  Building wheel for wikipedia (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wikipedia: filename=wikipedia-1.4.0-py3-none-any.whl size=11680 sha256=c4bd7d89cc2fd7a87c72402d7f15ef706b0edfb6f9b9039d3b57e259ad790df1\n",
            "  Stored in directory: /root/.cache/pip/wheels/5e/b6/c5/93f3dec388ae76edc830cb42901bb0232504dfc0df02fc50de\n",
            "Successfully built wikipedia\n",
            "Installing collected packages: wikipedia\n",
            "Successfully installed wikipedia-1.4.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Number of subtopics in class 11: \",len(subtopics))\n",
        "print(\"Number of subtopics in class 12: \",len(subtopics_class_12))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sscdTMKnM3ca",
        "outputId": "e7f850e4-7748-4381-b5f7-11da5c406bf6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of subtopics in class 11:  109\n",
            "Number of subtopics in class 12:  105\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Fetch the list of page headings for each subtopic from wikipedia api"
      ],
      "metadata": {
        "id": "vmzf-FFsu3a5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# for 11th data\n",
        "import wikipedia as wiki\n",
        "\n",
        "top_page_titles=[]\n",
        "for topic in subtopics:\n",
        "  t = wiki.search(topic,results=5,suggestion=True)[0]\n",
        "  for subtopic in t:\n",
        "    top_page_titles.append(subtopic)\n",
        "\n",
        "# returns the title of the resultant pages\n",
        "print(len(top_page_titles))\n",
        "print(top_page_titles[0])"
      ],
      "metadata": {
        "id": "zXyKfviEoeex",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b9e3fd70-21f2-4c01-b821-0be86c8eb73c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "545\n",
            "Foam\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# subtopics_class_12\n",
        "import wikipedia as wiki\n",
        "\n",
        "top_page_titles_12=[]\n",
        "for topic in subtopics_class_12:\n",
        "  t = wiki.search(topic,results=5,suggestion=True)[0]\n",
        "  for subtopic in t:\n",
        "    top_page_titles_12.append(subtopic)\n",
        "\n",
        "# returns the title of the resultant pages\n",
        "print(len(top_page_titles_12))\n",
        "print(top_page_titles_12[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "60B35OH89nxV",
        "outputId": "26332198-377f-4655-fd79-e470b19c8b0b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "522\n",
            "Electric charge\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Fetch the page data and meta data for each heading above"
      ],
      "metadata": {
        "id": "oanoYXFHvIn8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tqdm import tqdm\n",
        "\n",
        "import time\n",
        "data =[]\n",
        "\n",
        "for title in tqdm(top_page_titles):\n",
        "\n",
        "  try:\n",
        "    obj = wiki.page(title)\n",
        "    d={\n",
        "        \"link\": obj.url,\n",
        "        \"text\": obj.content,\n",
        "        \"title\": obj.title\n",
        "    }\n",
        "    data.append(d)\n",
        "    time.sleep(3.01)\n",
        "  except Exception as e:\n",
        "    print(\"ERROR\",end=' ')\n",
        "    print(title)\n",
        "    time.sleep(3.01)\n",
        "\n",
        "\"\"\"\n",
        "the wiki.page command tries to access the wikipedia page with title as \"title\".\n",
        "Some of the pages are not available and hence generate an error.\n",
        "Try and catch is written to ignore such pages.\n",
        "also in case of error it prints the title which could not be accessed\n",
        "\"\"\""
      ],
      "metadata": {
        "id": "Xw8x8cjG-82p",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "bc39615f-f7f7-4eba-d38b-f76d5ca7e0fe"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  0%|          | 1/545 [00:03<31:53,  3.52s/it]/usr/local/lib/python3.10/dist-packages/wikipedia/wikipedia.py:389: GuessedAtParserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system (\"lxml\"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.\n",
            "\n",
            "The code that caused this warning is on line 389 of the file /usr/local/lib/python3.10/dist-packages/wikipedia/wikipedia.py. To get rid of this warning, pass the additional argument 'features=\"lxml\"' to the BeautifulSoup constructor.\n",
            "\n",
            "  lis = BeautifulSoup(html).find_all('li')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Solid\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  2%|▏         | 9/545 [00:32<31:57,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Stress (mechanics)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r  2%|▏         | 10/545 [00:35<31:19,  3.51s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Hooke's law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  2%|▏         | 13/545 [00:46<31:10,  3.52s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Robert Hooke\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  4%|▍         | 23/545 [01:20<30:23,  3.49s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Young's modulus\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  7%|▋         | 36/545 [02:07<30:14,  3.56s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Streamline\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  8%|▊         | 44/545 [02:35<29:45,  3.56s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Venturi effect\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 12%|█▏        | 65/545 [03:50<27:51,  3.48s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ideal gas\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 12%|█▏        | 66/545 [03:53<27:31,  3.45s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ideal gas law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 12%|█▏        | 67/545 [03:56<27:17,  3.42s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Gas constant\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 13%|█▎        | 70/545 [04:07<27:44,  3.51s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Thermal expansion\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 17%|█▋        | 90/545 [05:18<27:11,  3.59s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Heat transfer\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 19%|█▉        | 103/545 [06:04<26:23,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 19%|█▉        | 106/545 [06:14<25:26,  3.48s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 20%|██        | 110/545 [06:28<25:17,  3.49s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Internal energy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 21%|██        | 113/545 [06:39<25:22,  3.52s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR First law of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 21%|██        | 115/545 [06:46<25:11,  3.51s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR First law of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 21%|██▏       | 116/545 [06:49<24:20,  3.41s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 24%|██▍       | 133/545 [07:47<23:49,  3.47s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 25%|██▍       | 136/545 [07:57<23:04,  3.39s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 26%|██▌       | 139/545 [08:07<22:46,  3.37s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Entropy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 26%|██▌       | 143/545 [08:21<23:28,  3.50s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Irreversible\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 27%|██▋       | 146/545 [08:32<23:32,  3.54s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Carnot cycle\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 29%|██▉       | 158/545 [09:14<22:54,  3.55s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Noble gas\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 30%|██▉       | 161/545 [09:25<22:54,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ideal gas law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 30%|██▉       | 162/545 [09:28<22:01,  3.45s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ideal gas\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 30%|██▉       | 163/545 [09:31<21:21,  3.35s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Gas\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 30%|███       | 166/545 [09:41<21:49,  3.45s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Energy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 31%|███       | 167/545 [09:45<22:27,  3.57s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ideal gas law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 31%|███       | 168/545 [09:48<21:34,  3.43s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Boltzmann constant\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 34%|███▎      | 183/545 [10:40<21:11,  3.51s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Neutrino oscillation\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 36%|███▌      | 197/545 [11:28<20:02,  3.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Motion\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 39%|███▉      | 214/545 [12:26<18:20,  3.33s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Motion\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 41%|████      | 224/545 [13:02<18:58,  3.55s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Heat Waves\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 42%|████▏     | 231/545 [13:26<17:44,  3.39s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Phonon\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 43%|████▎     | 235/545 [13:40<18:16,  3.54s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Speed of sound\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 45%|████▍     | 244/545 [14:12<17:42,  3.53s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Pauli exclusion principle\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 46%|████▌     | 250/545 [14:33<17:18,  3.52s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Beat\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 46%|████▌     | 251/545 [14:37<17:37,  3.60s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Beats Electronics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 46%|████▋     | 253/545 [14:44<17:16,  3.55s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Beat Generation\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 48%|████▊     | 263/545 [15:20<16:49,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR 10.000\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 49%|████▉     | 268/545 [15:38<16:35,  3.59s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Quantity\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 50%|█████     | 274/545 [15:59<15:57,  3.53s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Wave equation\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 51%|█████     | 276/545 [16:06<15:22,  3.43s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Functional analysis\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 51%|█████▏    | 280/545 [16:20<15:40,  3.55s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Speed\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 54%|█████▍    | 293/545 [17:05<14:18,  3.41s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Motion\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 54%|█████▍    | 297/545 [17:19<14:10,  3.43s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Time dilation\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 55%|█████▍    | 298/545 [17:23<14:02,  3.41s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Kinematics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 60%|█████▉    | 325/545 [18:58<12:39,  3.45s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Inclined plane\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 61%|██████▏   | 334/545 [19:29<11:46,  3.35s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Kinematics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 62%|██████▏   | 336/545 [19:36<11:48,  3.39s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Projectile\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 65%|██████▍   | 354/545 [20:39<11:49,  3.71s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Inertia (disambiguation)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 68%|██████▊   | 369/545 [21:30<09:58,  3.40s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Third law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 68%|██████▊   | 370/545 [21:34<10:15,  3.52s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Momentum\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 69%|██████▊   | 374/545 [21:49<10:20,  3.63s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Lenz's law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 69%|██████▉   | 376/545 [21:55<09:56,  3.53s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Particle\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 69%|██████▉   | 378/545 [22:02<09:41,  3.48s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Statics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 70%|██████▉   | 381/545 [22:13<09:44,  3.57s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Stress (mechanics)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 70%|███████   | 384/545 [22:24<09:35,  3.57s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Force\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 72%|███████▏  | 393/545 [22:54<08:32,  3.37s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Solvable\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 72%|███████▏  | 395/545 [23:01<08:42,  3.48s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR First law of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 74%|███████▍  | 403/545 [23:29<08:36,  3.64s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Work-in\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 75%|███████▌  | 409/545 [23:51<08:09,  3.60s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Energy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 77%|███████▋  | 418/545 [24:23<07:08,  3.38s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Laws of thermodynamics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 78%|███████▊  | 424/545 [24:44<07:09,  3.55s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Energy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 79%|███████▉  | 432/545 [25:11<06:24,  3.40s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Hooke's law\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 80%|███████▉  | 435/545 [25:21<06:15,  3.41s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Power\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 80%|████████  | 437/545 [25:29<06:29,  3.61s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Power Rangers\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 81%|████████  | 439/545 [25:36<06:21,  3.60s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR The Power\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 82%|████████▏ | 448/545 [26:09<05:53,  3.64s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Earth mass\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 83%|████████▎ | 455/545 [26:33<05:12,  3.48s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Momentum\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 85%|████████▍ | 461/545 [26:54<05:10,  3.69s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Dot product\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 88%|████████▊ | 481/545 [28:03<03:35,  3.37s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR List of moments of inertia\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 89%|████████▉ | 486/545 [28:20<03:24,  3.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Kinematics\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 92%|█████████▏| 502/545 [29:15<02:27,  3.42s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Johannes Kepler\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 92%|█████████▏| 503/545 [29:19<02:23,  3.41s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Orbit\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 93%|█████████▎| 507/545 [29:32<02:10,  3.44s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Gravity\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 94%|█████████▍| 513/545 [29:53<01:51,  3.49s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Gravity\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 94%|█████████▍| 515/545 [30:00<01:40,  3.36s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Acceleration due to gravity\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 96%|█████████▌| 524/545 [30:31<01:12,  3.43s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Free fall\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 97%|█████████▋| 529/545 [30:48<00:55,  3.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Energy\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 98%|█████████▊| 532/545 [30:58<00:44,  3.45s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Ford Escape\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r 98%|█████████▊| 533/545 [31:02<00:41,  3.43s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Time dilation\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 99%|█████████▉| 541/545 [31:30<00:14,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Orbit\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 545/545 [31:43<00:00,  3.49s/it]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'\\nthe wiki.page command tries to access the wikipedia page with title as \"title\".\\nSome of the pages are not available and hence generate an error.\\nTry and catch is written to ignore such pages.\\nalso in case of error it prints the title which could not be accessed\\n'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tqdm import tqdm\n",
        "\n",
        "import time\n",
        "data_12 =[]\n",
        "\n",
        "for title in tqdm(top_page_titles_12):\n",
        "\n",
        "  try:\n",
        "    obj = wiki.page(title)\n",
        "    d={\n",
        "        \"link\": obj.url,\n",
        "        \"text\": obj.content,\n",
        "        \"title\": obj.title\n",
        "    }\n",
        "    data_12.append(d)\n",
        "    time.sleep(3.01)\n",
        "  except Exception as e:\n",
        "    print(\"ERROR\",end=' ')\n",
        "    print(title)\n",
        "    time.sleep(3.01)\n",
        "\n",
        "\n",
        "\"\"\"\n",
        "the wiki.page command tries to access the wikipedia page with title as \"title\".\n",
        "Some of the pages are not available and hence generate an error.\n",
        "Try and catch is written to ignore such pages.\n",
        "also in case of error it prints the title which could not be accessed\n",
        "\"\"\"\n"
      ],
      "metadata": {
        "id": "RciCGWJqJamA",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "outputId": "f6fb2dad-e10f-4650-f4e2-4f56c602859a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r  0%|          | 0/522 [00:00<?, ?it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electric charge\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\r  0%|          | 1/522 [00:03<29:32,  3.40s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Charging station\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  1%|          | 4/522 [00:13<30:18,  3.51s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electric current\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  2%|▏         | 13/522 [00:46<30:21,  3.58s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electricity\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  5%|▍         | 25/522 [01:28<30:04,  3.63s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electric field\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  6%|▌         | 30/522 [01:46<28:39,  3.49s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electric field\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  8%|▊         | 44/522 [02:34<27:47,  3.49s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electron electric dipole moment\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  9%|▉         | 49/522 [02:51<27:14,  3.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Magnetization\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 10%|█         | 54/522 [03:08<27:01,  3.46s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Electric field\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 13%|█▎        | 69/522 [03:59<25:57,  3.44s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ERROR Voltage\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            " 15%|█▌        | 79/522 [04:36<25:47,  3.49s/it]\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-9-ea48bdb58606>\u001b[0m in \u001b[0;36m<cell line: 6>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     14\u001b[0m     }\n\u001b[1;32m     15\u001b[0m     \u001b[0mdata_12\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m     \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3.01\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ERROR\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m' '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the number of pages that did not cause a exceotion\n",
        "print(\"The number of valid pages fetched for class 11: \",len(data))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ktfgNXuPgjCu",
        "outputId": "309e3186-68fd-470e-ff80-6a354e53d7c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The number of valid pages fetched for class 11:  461\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# the number of pages that did not cause a exceotion\n",
        "print(\"The number of valid pages fetched for class 12: \",len(data_12))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 182
        },
        "id": "AdJr0Zge_s3n",
        "outputId": "b0b3ff4e-6c32-4168-9451-38734d134d52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-7-07a270f997c9>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# the number of pages that did not cause a exceotion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"The number of valid pages fetched for class 12: \"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_12\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m: name 'data_12' is not defined"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# import pickle\n",
        "# # pickle.dump(data, open('/content/drive/MyDrive/ColabData/data.pkl', 'wb'))\n",
        "# pickle.dump(data_12, open('/content/drive/MyDrive/ColabData/data_12.pkl', 'wb'))\n",
        "# import pickle\n",
        "# # data = pickle.load('/content/drive/MyDrive/ColabData/data.pkl')\n",
        "\n",
        "# # for class 11th\n",
        "# dbfile = open('/content/drive/MyDrive/ColabData/data.pkl', 'rb')\n",
        "# data = pickle.load(dbfile)\n",
        "\n",
        "\n",
        "# # for class 12th\n",
        "# dbfile_12 = open('/content/drive/MyDrive/ColabData/data_12.pkl', 'rb')\n",
        "# data_12 = pickle.load(dbfile_12)"
      ],
      "metadata": {
        "id": "FXL0ESuWn63C"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# a = data_12[0]['text'].strip()\n",
        "def preprocess(text):\n",
        "  import re\n",
        "  text_inter = re.sub(r'\\n+', '\\n', text)\n",
        "\n",
        "  # Remove extra whitespaces\n",
        "  text_preprocessed = re.sub(r'\\s+', ' ', text_inter)\n",
        "\n",
        "  return text_preprocessed\n"
      ],
      "metadata": {
        "id": "OSNvHpOyaDWE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Preprocessing the data"
      ],
      "metadata": {
        "id": "DOVOqaYCbqZF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# data_preprocessed = [preprocess(data[i]['text']) for i in range(len(data))]\n",
        "for i in range(len(data)):\n",
        "  data[i]['text']=preprocess(data[i]['text'])\n",
        "# data_12_preprocessed = [preprocess(data_12[i]['text']) for i in range(len(data_12))]\n",
        "\n",
        "for i in range(len(data_12)):\n",
        "  data_12[i]['text']=preprocess(data_12[i]['text'])"
      ],
      "metadata": {
        "id": "lB92ezwFyv4P"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pickle.dump(data, open('/content/drive/MyDrive/ColabData/data_preprocessed.pkl', 'wb'))\n",
        "pickle.dump(data_12, open('/content/drive/MyDrive/ColabData/data_12_preprocessed.pkl', 'wb'))"
      ],
      "metadata": {
        "id": "rR5VT5y2EbzG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Load data"
      ],
      "metadata": {
        "id": "iU0qfShQbulc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "dbfile = open('/content/drive/MyDrive/ColabData/data_preprocessed.pkl', 'rb')\n",
        "data = pickle.load(dbfile)\n",
        "\n",
        "\n",
        "# for class 12th\n",
        "dbfile_12 = open('/content/drive/MyDrive/ColabData/data_12_preprocessed.pkl', 'rb')\n",
        "data_12 = pickle.load(dbfile_12)"
      ],
      "metadata": {
        "id": "SsEpHPVqEmPz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "type(data_12[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "arrUzNGld9w-",
        "outputId": "f5bffe7a-c45b-473a-8993-745bcf85f3c4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Tokenization and Embedding"
      ],
      "metadata": {
        "id": "ZZFEmuYw1imj"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0_4wHAWtmAvJ"
      },
      "outputs": [],
      "source": [
        "!pip install -qU \\\n",
        "  langchain==0.0.218 \\\n",
        "  openai==0.27.7 \\\n",
        "  tiktoken==0.4.0 \\\n",
        "  \"pinecone-client[grpc]\"==2.2.2"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install langchain huggingface_hub transformers sentence_transformers"
      ],
      "metadata": {
        "id": "E4DlkwK64plE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "69044576-9113-4ad0-b741-5edb5dce49be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m7.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.2/7.2 MB\u001b[0m \u001b[31m59.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m54.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m47.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m43.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip show langchain"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YmEOQFccLTLK",
        "outputId": "bccce6ec-39b5-4790-d306-ea2fa755bb77"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Name: langchain\n",
            "Version: 0.0.218\n",
            "Summary: Building applications with LLMs through composability\n",
            "Home-page: https://www.github.com/hwchase17/langchain\n",
            "Author: \n",
            "Author-email: \n",
            "License: MIT\n",
            "Location: /usr/local/lib/python3.10/dist-packages\n",
            "Requires: aiohttp, async-timeout, dataclasses-json, langchainplus-sdk, numexpr, numpy, openapi-schema-pydantic, pydantic, PyYAML, requests, SQLAlchemy, tenacity\n",
            "Required-by: \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cQa87ArFynCN",
        "outputId": "04e70142-a85a-4c82-d14e-04a94179d098",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Encoding 'gpt2'>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "import tiktoken\n",
        "tiktoken.encoding_for_model('gpt2')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "a3ChSxlcwX8n",
        "outputId": "483179b6-8871-4cd7-a253-2d4c3316114c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[31373, 314, 716, 257, 16058, 286, 2420, 290, 1262, 262, 256, 1134, 30001, 62, 11925, 2163, 356, 460, 1064, 262, 4129, 286, 428, 16058, 286, 2420, 287, 16326]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "28"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "import tiktoken\n",
        "\n",
        "tokenizer = tiktoken.get_encoding('gpt2')\n",
        "\n",
        "# create the length function\n",
        "def tiktoken_len(text):\n",
        "    tokens = tokenizer.encode(\n",
        "        text,\n",
        "        disallowed_special=()\n",
        "    )\n",
        "    print(tokens)\n",
        "    return len(tokens)\n",
        "\n",
        "tiktoken_len(\"hello I am a chunk of text and using the tiktoken_len function \"\n",
        "             \"we can find the length of this chunk of text in tokens\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "58J-y6GHtvQP"
      },
      "outputs": [],
      "source": [
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "\n",
        "text_splitter = RecursiveCharacterTextSplitter(\n",
        "    chunk_size=400,\n",
        "    chunk_overlap=20,\n",
        "    length_function=tiktoken_len,\n",
        "    separators=[\"\\n\\n\", \"\\n\", \" \", \"\"]\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "# os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'\n",
        "os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'"
      ],
      "metadata": {
        "id": "G7uAnScN7pXG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain import HuggingFaceHub, LLMChain\n",
        "from langchain.embeddings import HuggingFaceEmbeddings\n",
        "\n",
        "model_name = 'sentence-transformers/all-MiniLM-L6-v2'\n",
        "\n",
        "embed = HuggingFaceEmbeddings(\n",
        "    model_name=model_name,\n",
        ")"
      ],
      "metadata": {
        "id": "uWWorVLet3N8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install pinecone-client"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EGlrb2HTfCsE",
        "outputId": "eb491ad5-02bc-4d53-9672-43062a2f48b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pinecone-client in /usr/local/lib/python3.10/dist-packages (2.2.2)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.27.1)\n",
            "Requirement already satisfied: pyyaml>=5.4 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (6.0)\n",
            "Requirement already satisfied: loguru>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (0.7.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (4.5.0)\n",
            "Requirement already satisfied: dnspython>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.3.0)\n",
            "Requirement already satisfied: python-dateutil>=2.5.3 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.8.2)\n",
            "Requirement already satisfied: urllib3>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (1.26.16)\n",
            "Requirement already satisfied: tqdm>=4.64.1 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (4.65.0)\n",
            "Requirement already satisfied: numpy>=1.22.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (1.22.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.5.3->pinecone-client) (1.16.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (3.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#b666ad2a-1d89-4252-981b-c6a222a980db\n",
        "import os\n",
        "# os.environ['PINECONE_API_KEY'] = 'b666ad2a-1d89-4252-981b-c6a222a980db'\n",
        "os.environ['PINECONE_API_KEY'] = '396bf1fb-9ddf-4e69-a697-6c145324bea8'\n",
        "\n",
        "#396bf1fb-9ddf-4e69-a697-6c145324bea8\n",
        "os.environ['PINECONE_ENVIRONMENT'] = 'asia-southeast1-gcp-free'"
      ],
      "metadata": {
        "id": "LTVyEXQVeQ47"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9pT9C4nW4vwo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "64a98acb-7102-4997-8877-6f7271a1a569"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/pinecone/index.py:4: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
            "  from tqdm.autonotebook import tqdm\n"
          ]
        }
      ],
      "source": [
        "import pinecone\n",
        "\n",
        "# find API key in console at app.pinecone.io\n",
        "PINECONE_API_KEY = os.getenv('PINECONE_API_KEY') or 'PINECONE_API_KEY'\n",
        "\n",
        "# find ENV (cloud region) next to API key in console\n",
        "PINECONE_ENVIRONMENT = os.getenv('PINECONE_ENVIRONMENT') or 'PINECONE_ENVIRONMENT'\n",
        "\n",
        "pinecone.init(\n",
        "    api_key=PINECONE_API_KEY,\n",
        "    environment=PINECONE_ENVIRONMENT\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0RqIF2mIDwFu"
      },
      "source": [
        "## Indexing\n",
        "\n",
        "We can perform the indexing task using the LangChain vector store object. But for now it is much faster to do it via the Pinecone python client directly. We will do this in batches of `100` or more."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " texts = [\n",
        "    'this is the first chunk of text',\n",
        "    'then another second chunk of text is here'\n",
        "]\n",
        "\n",
        "res = embed.embed_documents(texts)\n",
        "print(len(res), len(res[0]))\n",
        "print(res)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oM-v1mF-WbyY",
        "outputId": "d5bbbbc1-1674-45ea-eb34-f75697853ba5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2 384\n",
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0.0025308795738965273]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "index_name = \"rag-trial\"\n",
        "index = pinecone.Index(index_name)\n",
        "\n",
        "# # pinecone.delete_index(index_name)\n",
        "# pinecone.list_indexes()"
      ],
      "metadata": {
        "id": "hx2R3CDGYKgA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if index_name not in pinecone.list_indexes():\n",
        "    # we create a new index\n",
        "\n",
        "    pinecone.create_index(\n",
        "        name=index_name,\n",
        "        metric='cosine',\n",
        "        dimension=len(res[0])  # 384 dim of text-embedding-ada-002\n",
        "    )\n",
        "\n",
        "    # checking if the index is created\n",
        "pinecone.list_indexes()"
      ],
      "metadata": {
        "id": "OmLo966udxLi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "68c1e8e1-51a9-4d4a-c600-5dd3fc9ec81b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['rag-trial']"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "e5503889312e4e979e5a03ad2bfb3bdf",
            "a3a57fc0c9a34789b87f919263440acf",
            "c3c71a17a2e6452dab1bf6787ddb2f88",
            "68e2cb7ee3fa4c729787f720a9cc5144",
            "1999373ec1f6430ebba82c2a8e0a56a8",
            "ecd5da4a1f9345958a392d91104c630c",
            "8d36aecfbbb34e2db7fb87970d24cda9",
            "20f5db191be3458fa6a0a733f9fc39c9",
            "9a218ebfcf0f40829315779c638e0af3",
            "88673e841d6d4ada91319aa2bb52655b",
            "fd81b8288cc94e949b463d6c1735bdbd"
          ]
        },
        "id": "W-cIOoTWGY1R",
        "outputId": "8b494671-6191-44ef-bfba-82b2473920d1"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/457 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e5503889312e4e979e5a03ad2bfb3bdf"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "[2095]\n",
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            "[3401, 1741]\n",
            "[42631]\n",
            "[6624]\n",
            "[5903, 12212]\n",
            "[393]\n",
            "[10421]\n",
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            "[416]\n",
            "[42631]\n",
            "[389]\n",
            "[5175, 11]\n",
            "[290]\n",
            "[460]\n",
            "[307]\n",
            "[15246, 1927]\n",
            "[11266]\n",
            "[422]\n",
            "[22340, 415]\n",
            "[23235]\n",
            "[484]\n",
            "[423]\n",
            "[6249, 19293]\n",
            "[422, 13]\n",
            "[36404, 1143]\n",
            "[13334]\n",
            "[290]\n",
            "[2453, 669]\n",
            "[2158]\n",
            "[4729]\n",
            "[28722]\n",
            "[290]\n",
            "[10421, 11]\n",
            "[8148, 11]\n",
            "[523]\n",
            "[428]\n",
            "[21739]\n",
            "[14139]\n",
            "[4433]\n",
            "[19363]\n",
            "[2458]\n",
            "[286]\n",
            "[22340, 415]\n",
            "[2974, 11]\n",
            "[286]\n",
            "[4097]\n",
            "[7625]\n",
            "[357, 68, 13, 70, 13]\n",
            "[257]\n",
            "[14821]\n",
            "[880, 828]\n",
            "[393]\n",
            "[3170, 12, 259]\n",
            "[5186]\n",
            "[7032]\n",
            "[357, 68, 13, 70, 13]\n",
            "[287]\n",
            "[1339]\n",
            "[286]\n",
            "[1729, 1087, 305, 1837, 3020, 19482]\n",
            "[24770, 737]\n",
            "[770]\n",
            "[8173]\n",
            "[318]\n",
            "[1444]\n",
            "[39007]\n",
            "[42631]\n",
            "[290]\n",
            "[318]\n",
            "[39512]\n",
            "[27120]\n",
            "[284]\n",
            "[25822]\n",
            "[11920, 12, 9099, 273]\n",
            "[45765, 11]\n",
            "[5086]\n",
            "[845]\n",
            "[1029]\n",
            "[15873]\n",
            "[284]\n",
            "[307]\n",
            "[28681, 13]\n",
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            "[4091]\n",
            "[635]\n",
            "[6624]\n",
            "[5683, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[2558, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[7343]\n",
            "[286]\n",
            "[39290, 40990]\n",
            "[5696]\n",
            "[2892, 349, 2794]\n",
            "[42631]\n",
            "[279, 12, 77]\n",
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            "[6624]\n",
            "[31458]\n",
            "[6624]\n",
            "[6624]\n",
            "[34579]\n",
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            "[6624]\n",
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            "[3519]\n",
            "[284]\n",
            "[360, 15816]\n",
            "[357, 325, 9383, 40990, 8]\n",
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            "[286]\n",
            "[22340, 415]\n",
            "[4847]\n",
            "[284]\n",
            "[23553]\n",
            "[11844, 1133]\n",
            "[19972, 1042]\n",
            "[318]\n",
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            "[3957]\n",
            "[12085]\n",
            "[287]\n",
            "[262]\n",
            "[2214]\n",
            "[286]\n",
            "[44629]\n",
            "[39290, 12920, 669, 13]\n",
            "[383]\n",
            "[4931]\n",
            "[286]\n",
            "[41273]\n",
            "[11354, 398, 25145]\n",
            "[4693]\n",
            "[318]\n",
            "[1994]\n",
            "[284]\n",
            "[262]\n",
            "[11244]\n",
            "[286]\n",
            "[11823]\n",
            "[1338, 600, 20844, 11]\n",
            "[257]\n",
            "[1398]\n",
            "[286]\n",
            "[3341]\n",
            "[326]\n",
            "[7736, 786]\n",
            "[11538]\n",
            "[7906]\n",
            "[287]\n",
            "[3090]\n",
            "[284]\n",
            "[3877, 13]\n",
            "[8554]\n",
            "[360, 6377]\n",
            "[10345]\n",
            "[4583]\n",
            "[357, 8068, 51, 8]\n",
            "[262]\n",
            "[5951]\n",
            "[10795]\n",
            "[14091]\n",
            "[9172]\n",
            "[286]\n",
            "[22340, 1187]\n",
            "[1626]\n",
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            "[1813]\n",
            "[47240, 501]\n",
            "[460]\n",
            "[307]\n",
            "[29563]\n",
            "[284]\n",
            "[5911]\n",
            "[4540]\n",
            "[39290, 40990]\n",
            "[3341, 13]\n",
            "[6624]\n",
            "[14206]\n",
            "[22340, 1187]\n",
            "[287]\n",
            "[39290, 12920, 669]\n",
            "[6624]\n",
            "[383]\n",
            "[8564]\n",
            "[21403]\n",
            "[286]\n",
            "[257]\n",
            "[39290, 40990, 338]\n",
            "[6608]\n",
            "[319]\n",
            "[22340, 1187]\n",
            "[468]\n",
            "[2810]\n",
            "[281]\n",
            "[7667]\n",
            "[2837]\n",
            "[286]\n",
            "[6278, 540]\n",
            "[19428]\n",
            "[284]\n",
            "[7301]\n",
            "[290]\n",
            "[4174]\n",
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            "[4410, 13]\n",
            "[632]\n",
            "[318]\n",
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            "[286]\n",
            "[257]\n",
            "[25565]\n",
            "[22340, 415]\n",
            "[319]\n",
            "[5068]\n",
            "[3335]\n",
            "[2854]\n",
            "[355]\n",
            "[880]\n",
            "[355]\n",
            "[319]\n",
            "[262]\n",
            "[7531]\n",
            "[6608]\n",
            "[286]\n",
            "[257]\n",
            "[39290, 40990]\n",
            "[2587, 13]\n",
            "[968]\n",
            "[5479]\n",
            "[423]\n",
            "[1716]\n",
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            "[262]\n",
            "[28810]\n",
            "[2095]\n",
            "[286]\n",
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            "[2060]\n",
            "[22340, 415, 11]\n",
            "[884]\n",
            "[355]\n",
            "[2060, 12, 39706]\n",
            "[4410]\n",
            "[287]\n",
            "[262]\n",
            "[1989]\n",
            "[286]\n",
            "[14821]\n",
            "[1321]\n",
            "[393]\n",
            "[2060, 12, 67, 404, 415]\n",
            "[1007, 46334, 13]\n",
            "[36736, 1512]\n",
            "[14901]\n",
            "[287]\n",
            "[262]\n",
            "[1613]\n",
            "[5707]\n",
            "[3371]\n",
            "[21769, 11]\n",
            "[1246, 297, 1346]\n",
            "[4441]\n",
            "[290]\n",
            "[29349]\n",
            "[2060]\n",
            "[22340, 1187, 11]\n",
            "[355]\n",
            "[880]\n",
            "[355]\n",
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            "[5337]\n",
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            "[3142]\n",
            "[4756]\n",
            "[262]\n",
            "[649]\n",
            "[2214]\n",
            "[286]\n",
            "[1540, 313, 20844]\n",
            "[357, 82, 6212, 560]\n",
            "[22340, 415]\n",
            "[2172, 2577, 801, 20844, 737]\n",
            "[6624]\n",
            "[3401, 1741]\n",
            "[42631]\n",
            "[6624]\n",
            "[5903, 12212]\n",
            "[393]\n",
            "[10421]\n",
            "[5495]\n",
            "[416]\n",
            "[42631]\n",
            "[389]\n",
            "[5175, 11]\n",
            "[290]\n",
            "[460]\n",
            "[307]\n",
            "[15246, 1927]\n",
            "[11266]\n",
            "[422]\n",
            "[22340, 415]\n",
            "[23235]\n",
            "[484]\n",
            "[423]\n",
            "[6249, 19293]\n",
            "[422, 13]\n",
            "[36404, 1143]\n",
            "[13334]\n",
            "[290]\n",
            "[2453, 669]\n",
            "[2158]\n",
            "[4729]\n",
            "[28722]\n",
            "[290]\n",
            "[10421, 11]\n",
            "[8148, 11]\n",
            "[523]\n",
            "[428]\n",
            "[21739]\n",
            "[14139]\n",
            "[4433]\n",
            "[19363]\n",
            "[2458]\n",
            "[286]\n",
            "[22340, 415]\n",
            "[2974, 11]\n",
            "[286]\n",
            "[4097]\n",
            "[7625]\n",
            "[357, 68, 13, 70, 13]\n",
            "[257]\n",
            "[14821]\n",
            "[880, 828]\n",
            "[393]\n",
            "[3170, 12, 259]\n",
            "[5186]\n",
            "[7032]\n",
            "[357, 68, 13, 70, 13]\n",
            "[287]\n",
            "[1339]\n",
            "[286]\n",
            "[1729, 1087, 305, 1837, 3020, 19482]\n",
            "[24770, 737]\n",
            "[770]\n",
            "[8173]\n",
            "[318]\n",
            "[1444]\n",
            "[39007]\n",
            "[42631]\n",
            "[290]\n",
            "[318]\n",
            "[39512]\n",
            "[27120]\n",
            "[284]\n",
            "[25822]\n",
            "[11920, 12, 9099, 273]\n",
            "[45765, 11]\n",
            "[5086]\n",
            "[845]\n",
            "[1029]\n",
            "[15873]\n",
            "[284]\n",
            "[307]\n",
            "[28681, 13]\n",
            "[6624]\n",
            "[4091]\n",
            "[635]\n",
            "[6624]\n",
            "[5683, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[2558, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[7343]\n",
            "[286]\n",
            "[39290, 40990]\n",
            "[5696]\n",
            "[379]\n",
            "[44877]\n",
            "[13815]\n",
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            "[22820, 1040, 291]\n",
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            "[286]\n",
            "[597]\n",
            "[3518]\n",
            "[2134, 11]\n",
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            "[318]\n",
            "[281]\n",
            "[22820, 1040, 291]\n",
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            "[4624, 13]\n",
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            "[318]\n",
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            "[286]\n",
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            "[1296]\n",
            "[286]\n",
            "[262]\n",
            "[2587, 11]\n",
            "[304, 13, 70, 1539]\n",
            "[530]\n",
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            "[3704]\n",
            "[393]\n",
            "[257]\n",
            "[4947]\n",
            "[286]\n",
            "[1402]\n",
            "[13166, 13]\n",
            "[2558, 81, 1040, 291]\n",
            "[6608]\n",
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            "[10795]\n",
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            "[319]\n",
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            "[5931]\n",
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            "[290]\n",
            "[4645]\n",
            "[286]\n",
            "[262]\n",
            "[2587, 13]\n",
            "[5683, 81, 1040, 291]\n",
            "[6608]\n",
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            "[319]\n",
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            "[5931]\n",
            "[46983]\n",
            "[393]\n",
            "[13204]\n",
            "[22448, 13, 818]\n",
            "[17219, 11]\n",
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            "[3048]\n",
            "[39779]\n",
            "[422]\n",
            "[2641]\n",
            "[281]\n",
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            "[393]\n",
            "[2685, 11]\n",
            "[884]\n",
            "[355]\n",
            "[281]\n",
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            "[4369]\n",
            "[393]\n",
            "[28327]\n",
            "[16989, 13]\n",
            "[554]\n",
            "[17075]\n",
            "[290]\n",
            "[36237, 11]\n",
            "[28327]\n",
            "[6608]\n",
            "[286]\n",
            "[4410]\n",
            "[357, 273]\n",
            "[3341]\n",
            "[286]\n",
            "[4410, 8]\n",
            "[389]\n",
            "[4143]\n",
            "[883]\n",
            "[326]\n",
            "[389]\n",
            "[1479]\n",
            "[422]\n",
            "[262]\n",
            "[4588]\n",
            "[286]\n",
            "[2972]\n",
            "[3858]\n",
            "[286]\n",
            "[1729, 12, 31195]\n",
            "[22448, 13]\n",
            "[8013]\n",
            "[22448]\n",
            "[743]\n",
            "[15058]\n",
            "[355]\n",
            "[257]\n",
            "[12921]\n",
            "[286]\n",
            "[1486]\n",
            "[23162, 507, 11]\n",
            "[9138]\n",
            "[8563, 11]\n",
            "[393]\n",
            "[13919]\n",
            "[31082]\n",
            "[290]\n",
            "[460]\n",
            "[4439]\n",
            "[18778]\n",
            "[290]\n",
            "[1690]\n",
            "[38117]\n",
            "[22820, 1040, 291]\n",
            "[6608, 13]\n",
            "[383]\n",
            "[11795, 11]\n",
            "[23989, 11]\n",
            "[290]\n",
            "[1630]\n",
            "[286]\n",
            "[1111]\n",
            "[28327]\n",
            "[290]\n",
            "[22820, 1040, 291]\n",
            "[6608]\n",
            "[389]\n",
            "[1871]\n",
            "[262]\n",
            "[8705]\n",
            "[8861]\n",
            "[3306]\n",
            "[284]\n",
            "[4620]\n",
            "[262]\n",
            "[1029]\n",
            "[2854]\n",
            "[290]\n",
            "[17843]\n",
            "[286]\n",
            "[3660]\n",
            "[12278]\n",
            "[290]\n",
            "[18480]\n",
            "[3341, 13]\n",
            "[6624]\n",
            "[4091]\n",
            "[635]\n",
            "[6624]\n",
            "[2558, 2021]\n",
            "[290]\n",
            "[7667]\n",
            "[6608]\n",
            "[2558, 81, 1040, 291]\n",
            "[290]\n",
            "[22820, 1040, 291]\n",
            "[2170, 1435]\n",
            "[357, 1169, 1435, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[5766]\n",
            "[357, 43592, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[357, 33665, 82]\n",
            "[3783, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[2163]\n",
            "[357, 33215]\n",
            "[8300, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[16022]\n",
            "[357, 469, 15748, 8]\n",
            "[6543, 26939]\n",
            "[3825, 2777, 1747]\n",
            "[357, 13926, 873, 828]\n",
            "[635]\n",
            "[1900]\n",
            "[355]\n",
            "[22820, 1040, 291]\n",
            "[4738]\n",
            "[9633]\n",
            "[1766, 363, 1741, 11]\n",
            "[351]\n",
            "[28327]\n",
            "[290]\n",
            "[22820, 1040, 291]\n",
            "[2910]\n",
            "[5148, 889]\n",
            "[22963]\n",
            "[6624]\n",
            "[31458]\n",
            "[6624]\n",
            "[]\n",
            "[818]\n",
            "[3783]\n",
            "[290]\n",
            "[8705, 11]\n",
            "[281]\n",
            "[28327]\n",
            "[3119]\n",
            "[318]\n",
            "[257]\n",
            "[3119]\n",
            "[286]\n",
            "[257]\n",
            "[7368]\n",
            "[2426]\n",
            "[326]\n",
            "[7160]\n",
            "[2346]\n",
            "[393]\n",
            "[1626]\n",
            "[262]\n",
            "[2426, 13]\n",
            "[1052]\n",
            "[22820, 1040, 291]\n",
            "[3119]\n",
            "[318]\n",
            "[407]\n",
            "[6393]\n",
            "[393]\n",
            "[11519]\n",
            "[284]\n",
            "[262]\n",
            "[2426]\n",
            "[326]\n",
            "[318]\n",
            "[852]\n",
            "[16264, 13]\n",
            "[1114]\n",
            "[1672, 11]\n",
            "[2347]\n",
            "[318]\n",
            "[281]\n",
            "[28327]\n",
            "[3119]\n",
            "[286]\n",
            "[597]\n",
            "[3518]\n",
            "[2134, 11]\n",
            "[9472]\n",
            "[3463]\n",
            "[318]\n",
            "[281]\n",
            "[22820, 1040, 291]\n",
            "[3119]\n",
            "[326]\n",
            "[8338]\n",
            "[319]\n",
            "[262]\n",
            "[4202]\n",
            "[286]\n",
            "[262]\n",
            "[29973]\n",
            "[2214]\n",
            "[287]\n",
            "[543]\n",
            "[262]\n",
            "[2134]\n",
            "[318]\n",
            "[4624, 13]\n",
            "[6624]\n",
            "[26622]\n",
            "[287]\n",
            "[3783]\n",
            "[290]\n",
            "[8705]\n",
            "[6624]\n",
            "[554]\n",
            "[5696]\n",
            "[3783, 11]\n",
            "[281]\n",
            "[28327]\n",
            "[3119]\n",
            "[318]\n",
            "[4795]\n",
            "[286]\n",
            "[703]\n",
            "[881]\n",
            "[286]\n",
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            "[318]\n",
            "[1944]\n",
            "[290]\n",
            "[318]\n",
            "[4795]\n",
            "[286]\n",
            "[262]\n",
            "[1296]\n",
            "[286]\n",
            "[262]\n",
            "[2587, 11]\n",
            "[304, 13, 70, 1539]\n",
            "[530]\n",
            "[1588]\n",
            "[3704]\n",
            "[393]\n",
            "[257]\n",
            "[4947]\n",
            "[286]\n",
            "[1402]\n",
            "[13166, 13]\n",
            "[2558, 81, 1040, 291]\n",
            "[6608]\n",
            "[389]\n",
            "[10795]\n",
            "[8384]\n",
            "[319]\n",
            "[262]\n",
            "[7531]\n",
            "[5931]\n",
            "[11742]\n",
            "[290]\n",
            "[4645]\n",
            "[286]\n",
            "[262]\n",
            "[2587, 13]\n",
            "[5683, 81, 1040, 291]\n",
            "[6608]\n",
            "[389]\n",
            "[47543]\n",
            "[355]\n",
            "[852]\n",
            "[10795]\n",
            "[319]\n",
            "[262]\n",
            "[4931]\n",
            "[286]\n",
            "[3368, 540]\n",
            "[5931]\n",
            "[46983]\n",
            "[393]\n",
            "[13204]\n",
            "[22448, 13, 818]\n",
            "[17219, 11]\n",
            "[28327]\n",
            "[3048]\n",
            "[39779]\n",
            "[422]\n",
            "[2641]\n",
            "[281]\n",
            "[26433]\n",
            "[393]\n",
            "[2685, 11]\n",
            "[884]\n",
            "[355]\n",
            "[281]\n",
            "[46938]\n",
            "[4369]\n",
            "[393]\n",
            "[28327]\n",
            "[16989, 13]\n",
            "[554]\n",
            "[17075]\n",
            "[290]\n",
            "[36237, 11]\n",
            "[28327]\n",
            "[6608]\n",
            "[286]\n",
            "[4410]\n",
            "[357, 273]\n",
            "[3341]\n",
            "[286]\n",
            "[4410, 8]\n",
            "[389]\n",
            "[4143]\n",
            "[883]\n",
            "[326]\n",
            "[389]\n",
            "[1479]\n",
            "[422]\n",
            "[262]\n",
            "[4588]\n",
            "[286]\n",
            "[2972]\n",
            "[3858]\n",
            "[286]\n",
            "[1729, 12, 31195]\n",
            "[22448, 13]\n",
            "[8013]\n",
            "[22448]\n",
            "[743]\n",
            "[15058]\n",
            "[355]\n",
            "[257]\n",
            "[12921]\n",
            "[286]\n",
            "[1486]\n",
            "[23162, 507, 11]\n",
            "[9138]\n",
            "[8563, 11]\n",
            "[393]\n",
            "[13919]\n",
            "[31082]\n",
            "[290]\n",
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            "[4439]\n",
            "[18778]\n",
            "[290]\n",
            "[1690]\n",
            "[38117]\n",
            "[22820, 1040, 291]\n",
            "[6608, 13]\n",
            "[383]\n",
            "[11795, 11]\n",
            "[23989, 11]\n",
            "[290]\n",
            "[1630]\n",
            "[286]\n",
            "[1111]\n",
            "[28327]\n",
            "[290]\n",
            "[22820, 1040, 291]\n",
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            "[1871]\n",
            "[262]\n",
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            "[8861]\n",
            "[3306]\n",
            "[284]\n",
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            "[12278]\n",
            "[290]\n",
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            "[3341, 13]\n",
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            "[4091]\n",
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            "[6624]\n",
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            "[6608]\n",
            "[2558, 81, 1040, 291]\n",
            "[290]\n",
            "[22820, 1040, 291]\n",
            "[2170, 1435]\n",
            "[357, 1169, 1435, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[5766]\n",
            "[357, 43592, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[357, 33665, 82]\n",
            "[3783, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[2163]\n",
            "[357, 33215]\n",
            "[8300, 8]\n",
            "[2558, 81, 1040, 291]\n",
            "[16022]\n",
            "[357, 469, 15748, 8]\n",
            "[6543, 26939]\n",
            "[3825, 2777, 1747]\n",
            "[357, 13926, 873, 828]\n",
            "[635]\n",
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            "[355]\n",
            "[22820, 1040, 291]\n",
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            "[9633]\n",
            "[1766, 363, 1741, 11]\n",
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            "[290]\n",
            "[22820, 1040, 291]\n",
            "[2910]\n",
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            "[6624]\n",
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            "[357, 37424, 8]\n",
            "[39290, 40990, 11]\n",
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            "[281]\n",
            "[3318, 19458]\n",
            "[39290, 40990]\n",
            "[393]\n",
            "[1312, 12, 4906]\n",
            "[39290, 40990, 11]\n",
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            "[39290, 40990]\n",
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            "[22340, 415]\n",
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            "[2427]\n",
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            "[286]\n",
            "[848, 10886, 13]\n",
            "[554]\n",
            "[28327]\n",
            "[39290, 12920, 669]\n",
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            "[290]\n",
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            "[286]\n",
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            "[389]\n",
            "[4961, 25]\n",
            "[299]\n",
            "[796]\n",
            "[279, 13]\n",
            "[770]\n",
            "[743]\n",
            "[307]\n",
            "[262]\n",
            "[1339]\n",
            "[772]\n",
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            "[42631]\n",
            "[262]\n",
            "[39290, 40990, 11]\n",
            "[996]\n",
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            "[611]\n",
            "[340]\n",
            "[318]\n",
            "[288, 19458]\n",
            "[351]\n",
            "[1111]\n",
            "[13334]\n",
            "[290]\n",
            "[2453, 669]\n",
            "[8603, 13]\n",
            "[554]\n",
            "[428]\n",
            "[1339, 11]\n",
            "[299]\n",
            "[796]\n",
            "[279]\n",
            "[991]\n",
            "[6622, 11]\n",
            "[290]\n",
            "[262]\n",
            "[39290, 40990]\n",
            "[3793]\n",
            "[28327, 11]\n",
            "[996]\n",
            "[288, 19458, 13]\n",
            "[770]\n",
            "[1612]\n",
            "[326]\n",
            "[617]\n",
            "[3189, 669]\n",
            "[389]\n",
            "[1111]\n",
            "[28327]\n",
            "[355]\n",
            "[880]\n",
            "[355]\n",
            "[22820, 1040, 291]\n",
            "[475]\n",
            "[691]\n",
            "[611]\n",
            "[299]\n",
            "[357, 9509, 1313]\n",
            "[17052]\n",
            "[22340, 415, 14, 41194, 863]\n",
            "[28722, 8]\n",
            "[318]\n",
            "[4961]\n",
            "[284]\n",
            "[279]\n",
            "[357, 9509, 1313]\n",
            "[2453, 273]\n",
            "[22340, 415, 14, 85, 330, 415]\n",
            "[10421]\n",
            "[326]\n",
            "[719]\n",
            "[355]\n",
            "[3967]\n",
            "[4530, 737]\n",
            "[383]\n",
            "[12278]\n",
            "[3189, 3458]\n",
            "[286]\n",
            "[49966]\n",
            "[5899]\n",
            "[39290, 12920, 669]\n",
            "[460]\n",
            "[991]\n",
            "[307]\n",
            "[5676]\n",
            "[416]\n",
            "[31578, 6826]\n",
            "[22448]\n",
            "[286]\n",
            "[14614]\n",
            "[8159]\n",
            "[357, 2339]\n",
            "[48639, 828]\n",
            "[617]\n",
            "[286]\n",
            "[543]\n",
            "[460]\n",
            "[17438]\n",
            "[2092]\n",
            "[284]\n",
            "[22340, 1187, 13]\n",
            "[5334]\n",
            "[1245]\n",
            "[460]\n",
            "[1690]\n",
            "[307]\n",
            "[24007, 11]\n",
            "[996, 11]\n",
            "[290]\n",
            "[262]\n",
            "[1271]\n",
            "[286]\n",
            "[28722]\n",
            "[287]\n",
            "[262]\n",
            "[369, 11124]\n",
            "[4097]\n",
            "[318]\n",
            "[788]\n",
            "[3446]\n",
            "[4961]\n",
            "[284]\n",
            "[262]\n",
            "[1271]\n",
            "[286]\n",
            "[10421]\n",
            "[287]\n",
            "[262]\n",
            "[1188, 594]\n",
            "[4097, 13]\n",
            "[383]\n",
            "[369, 11124]\n",
            "[286]\n",
            "[1459]\n",
            "[286]\n",
            "[28327]\n",
            "[39290, 40990]\n",
            "[318]\n",
            "[9343]\n",
            "[14177]\n",
            "[416]\n",
            "[11538]\n",
            "[2859, 3780]\n",
            "[1973]\n",
            "[262]\n",
            "[4097, 12, 43554, 11]\n",
            "[543]\n",
            "[318]\n",
            "[3221]\n",
            "[1402]\n",
            "[379]\n",
            "[2119]\n",
            "[5951]\n",
            "[2845]\n",
            "[329]\n",
            "[7135, 12, 3903, 43554]\n",
            "[39290, 12920, 669, 11]\n",
            "[588]\n",
            "[367, 70, 15, 13, 23, 34, 67, 15, 13, 17, 6767, 13]\n",
            "[383]\n",
            "[3189, 3458]\n",
            "[286]\n",
            "[257]\n",
            "[39290, 40990]\n",
            "[460]\n",
            "[307]\n",
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            "[287]\n",
            "[2846]\n",
            "[286]\n",
            "[262]\n",
            "[4097]\n",
            "[4583]\n",
            "[286]\n",
            "[1540, 2340, 13]\n",
            "[383]\n",
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            "[2746]\n",
            "[286]\n",
            "[257]\n",
            "[39290, 40990]\n",
            "[5644]\n",
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            "[318]\n",
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            "[5885]\n",
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            "[460]\n",
            "[3151]\n",
            "[262]\n",
            "[369, 11124]\n",
            "[4097]\n",
            "[290]\n",
            "[8676]\n",
            "[284]\n",
            "[12278]\n",
            "[369, 11124, 13]\n",
            "[317]\n",
            "[29867]\n",
            "[15121]\n",
            "[318]\n",
            "[1180]\n",
            "[422]\n",
            "[281]\n",
            "[1035, 8927]\n",
            "[780]\n",
            "[379]\n",
            "[597]\n",
            "[5951]\n",
            "[2029]\n",
            "[4112]\n",
            "[6632, 11]\n",
            "[612]\n",
            "[318]\n",
            "[257]\n",
            "[1729, 12, 22570]\n",
            "[12867]\n",
            "[326]\n",
            "[281]\n",
            "[11538]\n",
            "[287]\n",
            "[262]\n",
            "[47240, 501]\n",
            "[481]\n",
            "[307]\n",
            "[13642]\n",
            "[9155]\n",
            "[422]\n",
            "[663]\n",
            "[2292, 11]\n",
            "[4305]\n",
            "[2157]\n",
            "[281]\n",
            "[11538]\n",
            "[23580]\n",
            "[1444]\n",
            "[257]\n",
            "[366, 13207, 1911]\n",
            "[1002]\n",
            "[257]\n",
            "[15004]\n",
            "[318]\n",
            "[5625, 11]\n",
            "[788]\n",
            "[1111]\n",
            "[262]\n",
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            "[290]\n",
            "[262]\n",
            "[7604]\n",
            "[460]\n",
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            "[284]\n",
            "[257]\n",
            "[1402]\n",
            "[1459]\n",
            "[5202, 13]\n",
            "[6624]\n",
            "[5903, 12212]\n",
            "[290]\n",
            "[10421]\n",
            "[6624]\n",
            "[554]\n",
            "[281]\n",
            "[28327]\n",
            "[39290, 40990]\n",
            "[884]\n",
            "[355]\n",
            "[29867]\n",
            "[379]\n",
            "[10101]\n",
            "[2029]\n",
            "[4112]\n",
            "[6632, 11]\n",
            "[612]\n",
            "[481]\n",
            "[307]\n",
            "[617]\n",
            "[28722]\n",
            "[543]\n",
            "[389]\n",
            "[6568]\n",
            "[1973]\n",
            "[262]\n",
            "[4097]\n",
            "[7625]\n",
            "[656]\n",
            "[262]\n",
            "[369, 11124]\n",
            "[4097]\n",
            "[290]\n",
            "[543]\n",
            "[460]\n",
            "[1104]\n",
            "[3877]\n",
            "[17609, 13]\n",
            "[1649]\n",
            "[262]\n",
            "[11538]\n",
            "[287]\n",
            "[5899]\n",
            "[29867]\n",
            "[24234]\n",
            "[262]\n",
            "[7625, 11]\n",
            "[340]\n",
            "[5667]\n",
            "[2157]\n",
            "[281]\n",
            "[11538]\n",
            "[39836]\n",
            "[393]\n",
            "[366, 13207, 1]\n",
            "[287]\n",
            "[262]\n",
            "[3218]\n",
            "[29867]\n",
            "[47240, 501, 13]\n",
            "[4698]\n",
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            "[4588]\n",
            "[286]\n",
            "[281]\n",
            "[7097]\n",
            "[15004, 11]\n",
            "[1111]\n",
            "[262]\n",
            "[11538]\n",
            "[290]\n",
            "[262]\n",
            "[7604]\n",
            "[460]\n",
            "[1445]\n",
            "[1973]\n",
            "[262]\n",
            "[2587, 13]\n",
            "[554]\n",
            "[281]\n",
            "[299, 12, 4906]\n",
            "[39290, 40990, 11]\n",
            "[262]\n",
            "[22340, 415]\n",
            "[22625]\n",
            "[3131]\n",
            "[28722, 11]\n",
            "[12034]\n",
            "[3649]\n",
            "[262]\n",
            "[3189, 3458, 13]\n",
            "[554]\n",
            "[257]\n",
            "[279, 12, 4906]\n",
            "[39290, 40990, 11]\n",
            "[262]\n",
            "[22340, 415]\n",
            "[11073]\n",
            "[3131]\n",
            "[48639]\n",
            "[393]\n",
            "[10421, 11]\n",
            "[543]\n",
            "[20467]\n",
            "[2620]\n",
            "[262]\n",
            "[3189, 3458, 13]\n",
            "[632]\n",
            "[318]\n",
            "[2158]\n",
            "[262]\n",
            "[4069]\n",
            "[286]\n",
            "[262]\n",
            "[279, 12, 77]\n",
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            "[543]\n",
            "[318]\n",
            "[262]\n",
            "[1994]\n",
            "[284]\n",
            "[262]\n",
            "[9812]\n",
            "[4996]\n",
            "[286]\n",
            "[4735, 12, 5219]\n",
            "[7914]\n",
            "[4410]\n",
            "[6624]\n",
            "[311, 5314, 40990]\n",
            "[1459]\n",
            "[6624]\n",
            "[383]\n",
            "[1459]\n",
            "[543]\n",
            "[481]\n",
            "[5202]\n",
            "[287]\n",
            "[281]\n",
            "[28327]\n",
            "[39290, 40990]\n",
            "[10874]\n",
            "[286]\n",
            "[1111]\n",
            "[11538]\n",
            "[290]\n",
            "[7604]\n",
            "[1459, 13]\n",
            "[1320]\n",
            "[318, 11]\n",
            "[262]\n",
            "[28722]\n",
            "[543]\n",
            "[423]\n",
            "[587]\n",
            "[13459]\n",
            "[422]\n",
            "[511]\n",
            "[47240, 501]\n",
            "[6116]\n",
            "[656]\n",
            "[262]\n",
            "[369, 11124]\n",
            "[4097]\n",
            "[460]\n",
            "[1445]\n",
            "[832]\n",
            "[262]\n",
            "[2587, 13]\n",
            "[554]\n",
            "[3090, 11]\n",
            "[584]\n",
            "[28722]\n",
            "[460]\n",
            "[1725]\n",
            "[1022]\n",
            "[47240, 501]\n",
            "[6116]\n",
            "[284]\n",
            "[6070]\n",
            "[262]\n",
            "[48639]\n",
            "[1364]\n",
            "[416]\n",
            "[262]\n",
            "[13459]\n",
            "[28722, 13]\n",
            "[770]\n",
            "[3224]\n",
            "[9030]\n",
            "[318]\n",
            "[1444]\n",
            "[7604]\n",
            "[369, 11124]\n",
            "[780]\n",
            "[340]\n",
            "[318]\n",
            "[355]\n",
            "[611]\n",
            "[262]\n",
            "[10421]\n",
            "[389]\n",
            "[45879]\n",
            "[1973]\n",
            "[262]\n",
            "[2587]\n",
            "[287]\n",
            "[262]\n",
            "[4571]\n",
            "[6697]\n",
            "[284]\n",
            "[262]\n",
            "[1479]\n",
            "[11538]\n",
            "[3356, 13]\n",
            "[383]\n",
            "[1459]\n",
            "[5202]\n",
            "[287]\n",
            "[281]\n",
            "[28327]\n",
            "[39290, 40990]\n",
            "[318]\n",
            "[12824]\n",
            "[416]\n",
            "[262]\n",
            "[12109]\n",
            "[286]\n",
            "[2568]\n",
            "[2585]\n",
            "[543]\n",
            "[287]\n",
            "[1210]\n",
            "[16717]\n",
            "[262]\n",
            "[11538]\n",
            "[12109]\n",
            "[287]\n",
            "[262]\n",
            "[369, 11124]\n",
            "[4097, 13]\n",
            "[770]\n",
            "[1459]\n",
            "[318]\n",
            "[4047]\n",
            "[5951]\n",
            "[10795, 13]\n",
            "[6624]\n",
            "[31458]\n",
            "[6624]\n",
            "[311, 2736, 11]\n",
            "[11288]\n",
            "[337, 13]\n",
            "[357, 35411, 737]\n",
            "[23123]\n",
            "[286]\n",
            "[311, 5314, 40990]\n",
            "[29362]\n",
            "[357, 17, 358]\n",
            "[1225, 15729]\n",
            "[1757]\n",
            "[43424]\n",
            "[290]\n",
            "[27989]\n",
            "[357, 54, 10008, 737]\n",
            "[32429]\n",
            "[657, 12, 38339, 12, 2713, 47159, 12, 23, 13]\n",
            "[43670, 417, 11]\n",
            "[609, 13]\n",
            "[357, 15724, 737]\n",
            "[22395]\n",
            "[284]\n",
            "[15831]\n",
            "[1812]\n",
            "[23123, 13]\n",
            "[1757]\n",
            "[43424]\n",
            "[290]\n",
            "[27989, 13]\n",
            "[32429]\n",
            "[657, 12, 38339, 12, 35038, 2075, 12, 55, 13]\n",
            "[6624]\n",
            "[4091]\n",
            "[635]\n",
            "[6624]\n",
            "[5683, 81, 1040, 291]\n",
            "[39290, 40990]\n",
            "[399, 12, 4906]\n",
            "[39290, 40990]\n",
            "[350, 12, 4906]\n",
            "[39290, 40990]\n",
            "[]\n",
            "[2025]\n",
            "[28327]\n",
            "[357, 37424, 8]\n",
            "[39290, 40990, 11]\n",
            "[635]\n",
            "[1444]\n",
            "[281]\n",
            "[3318, 19458]\n",
            "[39290, 40990]\n",
            "[393]\n",
            "[1312, 12, 4906]\n",
            "[39290, 40990, 11]\n",
            "[318]\n",
            "[257]\n",
            "[5899]\n",
            "[39290, 40990]\n",
            "[1231]\n",
            "[597]\n",
            "[2383]\n",
            "[22340, 415]\n",
            "[4693]\n",
            "[1944, 13]\n",
            "[383]\n",
            "[1271]\n",
            "[286]\n",
            "[3877]\n",
            "[16651]\n",
            "[318]\n",
            "[4361]\n",
            "[5295]\n",
            "[416]\n",
            "[262]\n",
            "[6608]\n",
            "[286]\n",
            "[262]\n",
            "[2587]\n",
            "[2346]\n",
            "[2427]\n",
            "[286]\n",
            "[262]\n",
            "[2033]\n",
            "[286]\n",
            "[848, 10886, 13]\n",
            "[554]\n",
            "[28327]\n",
            "[39290, 12920, 669]\n",
            "[262]\n",
            "[1271]\n",
            "[286]\n",
            "[6568]\n",
            "[28722]\n",
            "[290]\n",
            "[262]\n",
            "[1271]\n",
            "[286]\n",
            "[10421]\n",
            "[389]\n",
            "[4961, 25]\n",
            "[299]\n",
            "[796]\n",
            "[279, 13]\n",
            "[770]\n",
            "[743]\n",
            "[307]\n",
            "[262]\n",
            "[1339]\n",
            "[772]\n",
            "[706]\n",
            "[42631]\n",
            "[262]\n",
            "[39290, 40990, 11]\n",
            "[996]\n",
            "[691]\n",
            "[611]\n",
            "[340]\n",
            "[318]\n",
            "[288, 19458]\n",
            "[351]\n",
            "[1111]\n",
            "[13334]\n",
            "[290]\n",
            "[2453, 669]\n",
            "[8603, 13]\n",
            "[554]\n",
            "[428]\n",
            "[1339, 11]\n",
            "[299]\n",
            "[796]\n",
            "[279]\n",
            "[991]\n",
            "[6622, 11]\n",
            "[290]\n",
            "[262]\n",
            "[39290, 40990]\n",
            "[3793]\n",
            "[28327, 11]\n",
            "[996]\n",
            "[288, 19458, 13]\n",
            "[770]\n",
            "[1612]\n",
            "[326]\n",
            "[617]\n",
            "[3189, 669]\n",
            "[389]\n",
            "[1111]\n",
            "[28327]\n",
            "[355]\n",
            "[880]\n",
            "[355]\n",
            "[22820, 1040, 291]\n",
            "[475]\n",
            "[691]\n",
            "[611]\n",
            "[299]\n",
            "[357, 9509, 1313]\n",
            "[17052]\n",
            "[22340, 415, 14, 41194, 863]\n",
            "[28722, 8]\n",
            "[318]\n",
            "[4961]\n",
            "[284]\n",
            "[279]\n",
            "[357, 9509, 1313]\n",
            "[2453, 273]\n",
            "[22340, 415, 14, 85, 330, 415]\n",
            "[10421]\n",
            "[326]\n",
            "[719]\n",
            "[355]\n",
            "[3967]\n",
            "[4530, 737]\n",
            "[383]\n",
            "[12278]\n",
            "[3189, 3458]\n",
            "[286]\n",
            "[49966]\n",
            "[5899]\n",
            "[39290, 12920, 669]\n",
            "[460]\n",
            "[991]\n",
            "[307]\n",
            "[5676]\n",
            "[416]\n",
            "[31578, 6826]\n",
            "[22448]\n",
            "[286]\n",
            "[14614]\n",
            "[8159]\n",
            "[357, 2339]\n",
            "[48639, 828]\n",
            "[617]\n",
            "[286]\n",
            "[543]\n",
            "[460]\n",
            "[17438]\n",
            "[2092]\n",
            "[284]\n",
            "[22340, 1187, 13]\n",
            "[5334]\n",
            "[1245]\n",
            "[460]\n",
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0.023950425907969475, 0.04551120847463608, 0.01748104952275753, -0.05606694892048836, -0.12153944373130798, 0.013705956749618053, 0.006706475280225277, -0.028157178312540054, 0.024700623005628586, 0.0819258987903595, -0.029922563582658768, 0.07539111375808716, 0.04860607907176018, 0.03405226767063141, -0.003131814068183303, 0.04105450212955475, 0.022641263902187347, -0.013345048762857914, 0.0554840974509716, 0.06748036295175552, 0.03183441609144211, 0.03547424077987671, 0.09051050990819931, -0.07402408123016357, 0.03422393649816513, 0.004086305852979422, 0.06751307845115662, -0.026604972779750824, -0.026779985055327415, -0.033126961439847946, -0.027593154460191727, -0.09085621684789658, 0.055236198008060455, -0.054093632847070694, 0.11204538494348526, 0.08391684293746948, 0.01957780309021473, 0.05314499884843826, -0.01655619777739048, -0.036859869956970215, 0.055866945534944534]]\n"
          ]
        }
      ],
      "source": [
        "from tqdm.auto import tqdm\n",
        "from uuid import uuid4\n",
        "\n",
        "batch_limit = 100\n",
        "\n",
        "texts = []\n",
        "metadatas = []\n",
        "\n",
        "for i, record in enumerate(tqdm(data_12)):\n",
        "    # first get metadata fields for this record\n",
        "    metadata = {\n",
        "        'source': record['link'],\n",
        "        'title': record['title']\n",
        "    }\n",
        "    # now we create chunks from the record text\n",
        "    record_texts = text_splitter.split_text(record['text'])\n",
        "    # create individual metadata dicts for each chunk\n",
        "    record_metadatas = [{\n",
        "        \"chunk\": j, \"text\": text, **metadata\n",
        "    } for j, text in enumerate(record_texts)]\n",
        "    # append these to current batches\n",
        "    texts.extend(record_texts)\n",
        "    metadatas.extend(record_metadatas)\n",
        "    # if we have reached the batch_limit we can add texts\n",
        "    if len(texts) >= batch_limit:\n",
        "        ids = [str(uuid4()) for _ in range(len(texts))]\n",
        "        embeds = embed.embed_documents(texts)\n",
        "        # print(embeds)\n",
        "        print(embeds)\n",
        "        index.upsert(vectors=list(zip(ids, embeds, metadatas)))\n",
        "\n",
        "        texts = []\n",
        "        metadatas = []\n",
        "\n",
        "if len(texts) > 0:\n",
        "    ids = [str(uuid4()) for _ in range(len(texts))]\n",
        "    embeds = embed.embed_documents(texts)\n",
        "    print(embeds)\n",
        "    index.upsert(vectors=list(zip(ids, embeds, metadatas)))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XaF3daSxyCwB"
      },
      "source": [
        "We've now indexed everything. We can check the number of vectors in our index like so:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CaEBhsAM22M3",
        "outputId": "c828bdd4-5715-4125-8dd2-a559a69e9fbe"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'dimension': 384,\n",
              " 'index_fullness': 0.1,\n",
              " 'namespaces': {'': {'vector_count': 12162}},\n",
              " 'total_vector_count': 12162}"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "index.describe_index_stats()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-8P2PryCy8W3"
      },
      "source": [
        "## Creating a Vector Store and Querying"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install pinecone-client"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "20gU-qeJVCdc",
        "outputId": "85dc93bb-1720-4da7-ceb5-a84e367768bd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pinecone-client in /usr/local/lib/python3.10/dist-packages (2.2.2)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.27.1)\n",
            "Requirement already satisfied: pyyaml>=5.4 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (6.0)\n",
            "Requirement already satisfied: loguru>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (0.7.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (4.6.3)\n",
            "Requirement already satisfied: dnspython>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.3.0)\n",
            "Requirement already satisfied: python-dateutil>=2.5.3 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (2.8.2)\n",
            "Requirement already satisfied: urllib3>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (1.26.16)\n",
            "Requirement already satisfied: tqdm>=4.64.1 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (4.65.0)\n",
            "Requirement already satisfied: numpy>=1.22.0 in /usr/local/lib/python3.10/dist-packages (from pinecone-client) (1.22.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.5.3->pinecone-client) (1.16.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pinecone-client) (3.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -qU \\\n",
        "  langchain==0.0.218 \\\n",
        "  openai==0.27.7 \\\n",
        "  tiktoken==0.4.0 \\\n",
        "  \"pinecone-client[grpc]\"==2.2.2"
      ],
      "metadata": {
        "id": "ZAXSy0UWVLVI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "# os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'\n",
        "os.environ['HUGGINGFACEHUB_API_TOKEN'] = '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'"
      ],
      "metadata": {
        "id": "UGmgbxsTb7uM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain import HuggingFaceHub, LLMChain\n",
        "from langchain.embeddings import HuggingFaceEmbeddings\n",
        "\n",
        "model_name = 'sentence-transformers/all-MiniLM-L6-v2'\n",
        "\n",
        "embed = HuggingFaceEmbeddings(\n",
        "    model_name=model_name,\n",
        ")"
      ],
      "metadata": {
        "id": "8P8ehQ1Ab7uY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#b666ad2a-1d89-4252-981b-c6a222a980db\n",
        "import os\n",
        "# os.environ['PINECONE_API_KEY'] = 'b666ad2a-1d89-4252-981b-c6a222a980db'\n",
        "os.environ['PINECONE_API_KEY'] = '396bf1fb-9ddf-4e69-a697-6c145324bea8'\n",
        "\n",
        "#396bf1fb-9ddf-4e69-a697-6c145324bea8\n",
        "os.environ['PINECONE_ENVIRONMENT'] = 'asia-southeast1-gcp-free'"
      ],
      "metadata": {
        "id": "LdKiieDPcApe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "v0lSZGMCcApf"
      },
      "outputs": [],
      "source": [
        "import pinecone\n",
        "\n",
        "# find API key in console at app.pinecone.io\n",
        "PINECONE_API_KEY = os.getenv('PINECONE_API_KEY') or 'PINECONE_API_KEY'\n",
        "\n",
        "# find ENV (cloud region) next to API key in console\n",
        "PINECONE_ENVIRONMENT = os.getenv('PINECONE_ENVIRONMENT') or 'PINECONE_ENVIRONMENT'\n",
        "\n",
        "pinecone.init(\n",
        "    api_key=PINECONE_API_KEY,\n",
        "    environment=PINECONE_ENVIRONMENT\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qMXlvXOAyJHy"
      },
      "outputs": [],
      "source": [
        "from langchain.vectorstores import Pinecone\n",
        "\n",
        "text_field = \"text\"\n",
        "\n",
        "# switch back to normal index for langchain\n",
        "index_name=\"rag-trial\"\n",
        "index = pinecone.Index(index_name)\n",
        "\n",
        "vectorstore = Pinecone(\n",
        "    index, embed.embed_query, text_field\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "COT5s7hcyPiq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "94930f42-a1e6-486b-bf6f-a193791431a3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Document(page_content='for the system. == Sign convention == In the early history of thermodynamics, a positive amount of work done by the system on the surroundings leads to energy being lost from the system. This historical sign convention has been used in many physics textbooks and is used in the present article.According to the first law of thermodynamics for a closed system, any net change in the internal energy U must be fully accounted for, in terms of heat Q entering the system and work W done by the system: Δ U = Q − W . {\\\\displaystyle \\\\Delta U=Q-W.\\\\;} An alternate sign convention is to consider the work performed on the system by its surroundings as positive. This leads to a change in sign of the work, so that Δ U = Q + W {\\\\displaystyle \\\\Delta U=Q+W} . This convention has historically been used in chemistry, and has been adopted by most physics textbooks.This equation reflects the fact that the heat transferred and the work done are not properties of the state of the system. Given only the initial state and the final state of the system, one can only say what the total change in internal energy was, not how much of the energy went out as heat, and how much as work. This can be summarized by saying that heat and work are not state functions of the system. This is in contrast to classical mechanics, where net work exerted by a particle is a state function. == Pressure–volume work == Pressure–volume work (or PV or P-V work) occurs when the volume V of a system changes. PV work is often measured in units of litre-atmospheres where 1L·atm = 101.325J. However, the litre-atmosphere is not a recognized unit in the SI system of units, which measures P in pascals (Pa), V in m3, and PV in joules (J), where 1 J = 1', metadata={'chunk': 10.0, 'source': 'https://en.wikipedia.org/wiki/Work_(thermodynamics)', 'title': 'Work (thermodynamics)'}),\n",
              " Document(page_content='for the system. == Sign convention == In the early history of thermodynamics, a positive amount of work done by the system on the surroundings leads to energy being lost from the system. This historical sign convention has been used in many physics textbooks and is used in the present article.According to the first law of thermodynamics for a closed system, any net change in the internal energy U must be fully accounted for, in terms of heat Q entering the system and work W done by the system: Δ U = Q − W . {\\\\displaystyle \\\\Delta U=Q-W.\\\\;} An alternate sign convention is to consider the work performed on the system by its surroundings as positive. This leads to a change in sign of the work, so that Δ U = Q + W {\\\\displaystyle \\\\Delta U=Q+W} . This convention has historically been used in chemistry, and has been adopted by most physics textbooks.This equation reflects the fact that the heat transferred and the work done are not properties of the state of the system. Given only the initial state and the final state of the system, one can only say what the total change in internal energy was, not how much of the energy went out as heat, and how much as work. This can be summarized by saying that heat and work are not state functions of the system. This is in contrast to classical mechanics, where net work exerted by a particle is a state function. == Pressure–volume work == Pressure–volume work (or PV or P-V work) occurs when the volume V of a system changes. PV work is often measured in units of litre-atmospheres where 1L·atm = 101.325J. However, the litre-atmosphere is not a recognized unit in the SI system of units, which measures P in pascals (Pa), V in m3, and PV in joules (J), where 1 J = 1', metadata={'chunk': 10.0, 'source': 'https://en.wikipedia.org/wiki/Work_(thermodynamics)', 'title': 'Work (thermodynamics)'}),\n",
              " Document(page_content='to work done by the system on its surroundings, and d U \\\\mathrm {d} U is the change in the internal energy of the system. The δ\\'s before the heat and work terms are used to indicate that they describe an increment of energy which is to be interpreted somewhat differently than the d U \\\\mathrm {d} U increment of internal energy (see Inexact differential). Work and heat refer to kinds of process which add or subtract energy to or from a system, while the internal energy U U is a property of a particular state of the system when it is in unchanging thermodynamic equilibrium. Thus the term \"heat energy\" for δ Q \\\\delta Q means \"that amount of energy added as a result of heating\" rather than referring to a particular form of energy. Likewise, the term \"work energy\" for δ W \\\\delta W means \"that amount of energy lost as a result of work\". Thus one can state the amount of internal energy possessed by a thermodynamic system that one knows is presently in a given state, but one cannot tell, just from knowledge of the given present state, how much energy has in the past flowed into or out of the system as a result of its being heated or cooled, nor as a result of work being performed on or by the system. Entropy is a function of the state of a system which tells of limitations of the possibility of conversion of heat into work. For a simple compressible system, the work performed by the system may be written: δ W = P d V , \\\\delta W=P\\\\,\\\\mathrm {d} V, where P P is the pressure and d V dV is a small change in the volume of the system, each of which are system variables. In the fictive case in which the process is idealized and infinitely slow, so as to be called quasi-static, and regarded as reversible, the heat being transferred from', metadata={'chunk': 9.0, 'source': 'https://en.wikipedia.org/wiki/Conservation_of_energy', 'title': 'Conservation of energy'}),\n",
              " Document(page_content=\",where U0 denotes the internal energy of the combined system, and U1 and U2 denote the internal energies of the respective separated systems. Adapted for thermodynamics, this law is an expression of the principle of conservation of energy, which states that energy can be transformed (changed from one form to another), but cannot be created or destroyed.Internal energy is a principal property of the thermodynamic state, while heat and work are modes of energy transfer by which a process may change this state. A change of internal energy of a system may be achieved by any combination of heat added or removed and work performed on or by the system. As a function of state, the internal energy does not depend on the manner, or on the path through intermediate steps, by which the system arrived at its state. === Second law === A traditional version of the second law of thermodynamics states: Heat does not spontaneously flow from a colder body to a hotter body. The second law refers to a system of matter and radiation, initially with inhomogeneities in temperature, pressure, chemical potential, and other intensive properties, that are due to internal 'constraints', or impermeable rigid walls, within it, or to externally imposed forces. The law observes that, when the system is isolated from the outside world and from those forces, there is a definite thermodynamic quantity, its entropy, that increases as the constraints are removed, eventually reaching a maximum value at thermodynamic equilibrium, when the inhomogeneities practically vanish. For systems that are initially far from thermodynamic equilibrium, though several have been proposed, there is known no general physical principle that determines the rates of approach to thermodynamic equilibrium, and thermodynamics does not deal with such rates. The many versions of the second law all express the irreversibility of such approach to thermodynamic equilibrium. In macroscopic thermodynamics, the second law is a basic observation applicable to any actual thermodynamic process; in statistical thermodynamics, the second\", metadata={'chunk': 8.0, 'source': 'https://en.wikipedia.org/wiki/Thermodynamics', 'title': 'Thermodynamics'})]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "query = \"In a process, change in internal energy of the system is -5088 J. If 1083 J of work is done by the system, what is the amount of heat absorbed by the process ?\"\n",
        "\n",
        "relevant_documents = vectorstore.similarity_search(\n",
        "    query,  # our search query\n",
        "    k=4  # return 3 most relevant docs\n",
        ")\n",
        "relevant_documents"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(relevant_documents[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aWG-7SukoPV-",
        "outputId": "92708785-54df-4c00-bb47-6a7a2762ec55"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "langchain.schema.document.Document"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "relevant_documents[0].page_content"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "LpMY6Pr-phus",
        "outputId": "c5fda32e-0aac-473e-ce5c-ec71ee11d653"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'2\\n          \\n        \\n        −\\n        \\n          v\\n          \\n            1\\n          \\n        \\n        )\\n      \\n    \\n    {\\\\displaystyle W_{cycle}=p_{A}(v_{2}-v_{1})+p_{C}(v_{4}-v_{3})=p_{A}(v_{2}-v_{1})+p_{C}(v_{1}-v_{2})=(p_{A}-p_{C})(v_{2}-v_{1})}\\n  , which is just the area of the rectangle. If the total heat flow per cycle is required, this is easily obtained. Since \\n  \\n    \\n      \\n        Δ\\n        \\n          U\\n          \\n            c\\n            y\\n            c\\n            l\\n            e'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ehJEn68qADoH"
      },
      "source": [
        "---"
      ]
    }
  ]
}